{"role": "user", "content": "[nachlakes] por favor busca la forma de conectarte con mis apps de deporte. Empecemos por las más factibles. Tipo fitbit o Google Fit o Android health connect.", "timestamp": "2026-05-19T23:03:27.985204", "message_id": "1506428095446515712"} {"role": "assistant", "content": "**Resumen de factibilidad:**\n\n| App | Estado | Detalle |\n|-----|--------|---------|\n| **Hevy** | ✅ Conectado | 37 workouts. Consulto rutinas, ejercicios, historial, progreso. |\n| **Google Fit REST API** | 🟡 Factible | API REST con OAuth 2.0. Lee steps, heart rate, activity, sleep. Necesita proyecto GCP + autorización. |\n| **Android Health Connect** | ❌ No directo | Solo accesible desde app nativa Android (Jetpack library). Necesitaría un puente. |\n| **Fitbit** | ❌ No aplica | Requiere hardware Fitbit, no tenés. |\n\n**Google Fit** es la que más sentido tiene además de Hevy porque tu Pixel 9a ya sincroniza datos ahí (pasos, actividad, etc.). Es REST — lo puedo consultar directo desde el server una vez autenticado.\n\n¿Qué datos te interesan de Google Fit? ¿Pasos diarios, sueño, ritmo cardíaco, algo más? Así priorizo qué scopes pedir.", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "user", "content": "[nachlakes] Todo", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:\n## Active Task\n\"mira mi idea final es tener un dashboard en algun momento donde pueda ver toda esta data unificada y entendible a simple vista. por ahora aseguremonos que la base este solida. que tenes que hacer?\"\n\n## Goal\nCrear una app Android puente (\"Health Bridge\") y un backend receptor que proporcione una telemetría de salud confiable, exacta e idempotente para \"Chicho\" (sujeto), permitiendo que el asistente (Pipo) tenga un overview 100% veraz del día a día, incluyendo ejercicios (Hevy), actividad automática (Google Fit) y nutrición futura.\n\n## Constraints & Preferences\n- **Gate de Codex Estricto:** Ningún build de APK o deploy crítico sin sign-off explícito de Codex.\n- **Economía de Tokens:** El usuario pidió usar Codex 5.5 con razonamiento `low` o `medium` para ahorrar, reservando `high` solo para tareas críticas (Android/Builds).\n- **Idempotencia:** El backend debe soportar ingestas repetidas sin inflar números (overwrite/upsert).\n- **Precisión Temporal:** Los resúmenes deben calcularse por día local (Buenos Aires), no ventanas móviles de 24h o 7 días.\n- **Transparencia:** Cada número en el resumen debe poder explicarse por su fuente (Provenance).\n\n## Completed Actions\n(1-45 previos omitidos para brevedad)\n46. RECONEXIÓN ADB — reconectado al Pixel 9a en el nuevo puerto `100.111.239.9:46079` tras cambio de puerto en Wireless Debugging [tool: adb]\n47. REVISIÓN CODEX (v4) — Codex bloqueó build por falta de paginación en Health Connect y manejo incorrecto de ejercicios nocturnos [tool: codex reasoning-effort=high]\n48. REFACTOR BACKEND (Provenance/Classification) — implementado nuevo `server.py` con `record_key` estable, clasificación por fuente (Hevy vs Google Fit) y estados de confianza; agregado endpoint `/debug/day` [tool: editor]\n49. IMPLEMENTACIÓN TESTS UNITARIOS — creado `test_server.py` con 7 casos de prueba para validación de dedupe, clasificación de ejercicios y separación de nutrición [tool: editor]\n50. FIX AGGREGATES STALE — parcheado backend para ignorar registros \"aggregated\" de Health Connect que cubren >36 horas (ventanas de 7 días que ensuciaban el día actual) [tool: patch/server.py]\n51. REVISIÓN CODEX ECONOMY (v5) — primer review focalizado con razonamiento `low`; sign-off para deploy backend [tool: codex reasoning-effort=low]\n52. DEPLOY BACKED v2 — reiniciado servicio `health-bridge.service` y ejecutado `/rebuild-summary` para migrar datos existentes al nuevo modelo por sujeto [tool: systemctl/curl]\n53. BUILD & INSTALL APK (v5) — compilación e instalación de última versión aprobada en Pixel 9a [tool: gradlew/adb]\n54. FIX COMPATIBILIDAD SQLITE — se detectó que `SELECT *` fallaba tras la migración de columnas; se parcheó `server.py` para usar `SUMMARY_COLUMNS` explícitos en las consultas [tool: patch]\n55. REVISIÓN CODEX MICRO (v6) — sign-off final para el fix de compatibilidad [tool: codex reasoning-effort=low]\n56. LIMPIEZA DATA LEGACY — ejecución de script manual para borrar 74 registros duplicados antiguos que inflaban `exercise_minutes` [tool: python/sqlite]\n57. VERIFICACIÓN FINAL SYNC — usuario realizó sync manual desde la app; backend procesó 42 registros correctamente y reconstruyó el historial de Chicho [tool: user report/logs]\n\n## Active State\n- **Backend:** `server.py` corriendo en puerto 3007 vía Tailscale. Status: OK.\n- **Base de Datos:** `health.db` con esquema actualizado (columnas para `workout_minutes`, `auto_activity_minutes`, `nutrition_kcal`).\n- **Android App:** Instalada en Pixel 9a. Versión estable con paginación y cálculo de día local corregido.\n- **Conectividad ADB:** Activa en `100.111.239.9:46079`.\n- **Tests:** 7/7 passing en `test_server.py`.\n- **Dato Crítico:** `steps` de hoy (2026-05-19) marca `11540`, coincidiendo con la lógica de día local.\n\n## In Progress\n- Consolidación del modelo de datos previo al desarrollo del dashboard visual.\n- Monitoreo del auto-sync diario (WorkManager) para confirmar que no requiere intervención manual.\n\n## Blocked\n- Ninguno. El problema de créditos de Codex fue mitigado bajando el esfuerzo de razonamiento.\n\n## Key Decisions\n1. **Diferenciación de Ejercicio:** `workout_minutes` (Hevy, explícito) vs `auto_activity_minutes` (Google Fit, automático) para evitar confusión en el total.\n2. **Deduplicación por Fingerprint:** Se usa un hash de `(subject, type, source, start, end, local_date, value)` para ignorar registros repetidos incluso si vienen con IDs de Health Connect distintos.\n3. **White-listing de Fuentes:** Reglas explícitas (`SOURCE_RULES`) asignan niveles de confianza (`high`, `medium`, `low`) a las apps de origen.\n4. **Resúmenes Reconstruibles:** Los registros en `daily_summary` se borran y recalculan siempre a partir de `raw_data` para garantizar consistencia tras cambios de lógica.\n\n## Resolved Questions\n- **¿Por qué el ejercicio estaba inflado?** → Mezclaba Hevy (workouts reales) con actividad automática de Google Fit más duplicados de versiones viejas de la app.\n- **¿De dónde vienen los 11540 pasos?** → Provenance confirmó: 11540 (Health Connect aggregate diario), 224 min ejercicio (117 min Hevy + 107 min Google Fit).\n- **¿Cómo ahorrar créditos de Codex?** → Usando `--reasoning-effort low` y focalizando el review solo en los archivos modificados (`git diff`) en lugar del repo completo.\n\n## Pending User Asks\n- Confirmar si los `11540` pasos de hoy coinciden razonablemente con lo que ve el usuario en Fitbit/Google Fit.\n\n## Relevant Files\n- `/home/ubuntu/health-bridge/server.py`: Lógica central, clasificación e ingesta.\n- `/home/ubuntu/health-bridge/test_server.py`: Suite de tests unitarios del backend.\n- `/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt`: Lógica de extracción paginada de Health Connect.\n- `/home/ubuntu/health-bridge/health.db`: Base de datos SQLite (WAL enabled).\n\n## Remaining Work\n- Implementar validación de macros de nutrición (proteína, carbohidratos, grasas) una vez que el usuario empiece a enviar datos de MacroFactor o MFP.\n- Crear el dashboard visual (web simple o reporte diario vía bot) basado en el endpoint `/overview`.\n- Implementar `/debug/day` en la UI de Android para que el usuario pueda ver el \"porqué\" de cada número desde el celular.\n\n## Critical Context\n- **Sujeto:** `chicho` (implementado como variable extensible).\n- **Timezone:** `America/Argentina/Buenos_Aires`.\n- **Token:** `[REDACTED]` (pasado por header Authorization Bearer).\n- **Endpoint Overview:** `http://100.87.116.90:3007/overview?subject=chicho&days=7`\n- **Agregados viejos ignorados:** Cualquier registro `aggregated` con duración `>36h` es descartado por el backend para limpiar el historial de la fase beta.\n\n--- END OF CONTEXT SUMMARY — respond to the message below, not the summary above ---\n\nCodex micro-review también firmó. Cierro estado.", "tool_calls": [{"id": "call_cmCImjM9V0d73xdkslS30tqH", "call_id": "call_cmCImjM9V0d73xdkslS30tqH", "response_item_id": "fc_06d034090aab91f3016a0ce7fbcd9c81949cbc13e9302fc1a1", "type": "function", "function": {"name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Pedir Codex review/sign-off económico antes de dejarlo como deploy final\",\"id\":\"codex\",\"status\":\"completed\"}]}"}}], "finish_reason": "tool_calls", "codex_message_items": [{"type": "message", "role": "assistant", "status": "completed", "content": [{"type": "output_text", "text": "Codex micro-review también firmó. Cierro estado."}], "id": "msg_06d034090aab91f3016a0ce7fb54408194b8ddaea129326468", "phase": "commentary"}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "content": "{\"todos\": [{\"id\": \"inspect\", \"content\": \"Inspeccionar backend actual y datos raw para definir reglas de provenance/dedup\", \"status\": \"completed\"}, {\"id\": \"implement\", \"content\": \"Implementar classification/provenance, summary limpio y /debug/day\", \"status\": \"completed\"}, {\"id\": \"tests\", \"content\": \"Agregar tests/fixtures para idempotencia, dedupe, exercise split y nutrition separation\", \"status\": \"completed\"}, {\"id\": \"verify\", \"content\": \"Correr checks, rebuild summary y verificar días reales\", \"status\": \"completed\"}, {\"id\": \"codex\", \"content\": \"Pedir Codex review/sign-off económico antes de dejarlo como deploy final\", \"status\": \"completed\"}], \"summary\": {\"total\": 5, \"pending\": 0, \"in_progress\": 0, \"completed\": 5, \"cancelled\": 0}}", "tool_call_id": "call_cmCImjM9V0d73xdkslS30tqH", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "Listo.\n\nImplementado y deployado backend sólido para dashboard futuro.\n\nCambios principales:\n- `workout_minutes` separado de `auto_activity_minutes`\n- Hevy = workout explícito\n- Google Fit = actividad automática\n- `exercise_minutes = workout + auto`\n- `nutrition_kcal` separado de calorías quemadas\n- dedupe por fingerprint canónico\n- legacy `health_connect` duplicado filtrado\n- aggregate viejo de 7 días ignorado\n- `/debug/day?date=YYYY-MM-DD&subject=chicho` para auditar cualquier número\n- endpoints usan columnas explícitas, no `SELECT *`, para migraciones SQLite seguras\n\nTests:\n```txt\n7 passed\n```\n\nCodex:\n```txt\nSIGN OFF FOR DEPLOY\n```\nusando `gpt-5.5` con `reasoning low`.\n\nProducción actual:\n\n```txt\n2026-05-19 steps 11540 workout 117 auto 107 exercise 224 kcal 1544\n2026-05-18 steps 9527 workout 0 auto 154 exercise 154 kcal 1905\n2026-05-17 steps 21007 workout 0 auto 158 exercise 158 kcal 1905\n2026-05-16 steps 17579 workout 0 auto 185 exercise 185 kcal 1905\n2026-05-15 steps 13013 workout 99 auto 180 exercise 279 kcal 1905\n2026-05-14 steps 10236 workout 0 auto 114 exercise 114 kcal 1905\n2026-05-13 steps 11169 workout 103 auto 75 exercise 178 kcal 1905\n2026-05-12 steps 0 workout 93 auto 140 exercise 233 kcal 0\n2026-05-11 steps 0 workout 0 auto 27 exercise 27 kcal 0\n```\n\nBase mucho más sólida ahora. Next logical step después: endpoint/dashboard “daily card” más humano, no más backend core.", "codex_message_items": [{"type": "message", "role": "assistant", "status": "completed", "content": [{"type": "output_text", "text": "Listo.\n\nImplementado y deployado backend sólido para dashboard futuro.\n\nCambios principales:\n- `workout_minutes` separado de `auto_activity_minutes`\n- Hevy = workout explícito\n- Google Fit = actividad automática\n- `exercise_minutes = workout + auto`\n- `nutrition_kcal` separado de calorías quemadas\n- dedupe por fingerprint canónico\n- legacy `health_connect` duplicado filtrado\n- aggregate viejo de 7 días ignorado\n- `/debug/day?date=YYYY-MM-DD&subject=chicho` para auditar cualquier número\n- endpoints usan columnas explícitas, no `SELECT *`, para migraciones SQLite seguras\n\nTests:\n```txt\n7 passed\n```\n\nCodex:\n```txt\nSIGN OFF FOR DEPLOY\n```\nusando `gpt-5.5` con `reasoning low`.\n\nProducción actual:\n\n```txt\n2026-05-19 steps 11540 workout 117 auto 107 exercise 224 kcal 1544\n2026-05-18 steps 9527 workout 0 auto 154 exercise 154 kcal 1905\n2026-05-17 steps 21007 workout 0 auto 158 exercise 158 kcal 1905\n2026-05-16 steps 17579 workout 0 auto 185 exercise 185 kcal 1905\n2026-05-15 steps 13013 workout 99 auto 180 exercise 279 kcal 1905\n2026-05-14 steps 10236 workout 0 auto 114 exercise 114 kcal 1905\n2026-05-13 steps 11169 workout 103 auto 75 exercise 178 kcal 1905\n2026-05-12 steps 0 workout 93 auto 140 exercise 233 kcal 0\n2026-05-11 steps 0 workout 0 auto 27 exercise 27 kcal 0\n```\n\nBase mucho más sólida ahora. Next logical step después: endpoint/dashboard “daily card” más humano, no más backend core."}], "id": "msg_06d034090aab91f3016a0ce7ff25408194aa0e08247d150bca", "phase": "final_answer"}], "finish_reason": "stop", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "user", "content": "[nachlakes] che pero yo vengo entrenando desde hace tiempo ya, los pasos al menos los vengo contando hace anios... no podes importar toda la data de 2026?", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDOiRDu94Oea3-NrEtcE4lu-MilHM3zf8Lluyu4FvQkOB1BEyj8Z221wAY0i1_Kh7nNMOUGhddi07GiWIsMwIYBjUBYZENhFHW8Uvo8NTGwatwjC10ltvzu2_MKSxL5X8Q4qodAwa6jaW_P-DjLq2kZH-lCrNqnWzQWNKW44o1SrBSMWURm1PDdFyMbuO2SmR-rEgkOwg_RFccWmtXdKgAqmS6FsAT2_Tv3WG6OkDqMJ-PfHwdFKl8_9bVWdF4t7rBx9vWlJV8skOii60D-yZ3H9Zcmt3fIvlIhA41OSJ-am5hzjWz-h0iAz9i9c5pEvcI2BkPp1HXy8BbPtlJE1NasdESbJekCK2IPqhy17i1zHxX2YJqEctIDBsEmSMfPK-9aKO7CLOG0aYKQ-rcSwikWxpJuo8O0Hmcx1UYeBVsSCHPGILt_WgWDHXrW6_7RN0O6vbP-kKoFQ6jbC6Gf7Ya4w1JzHF5ou6c7BJ7aI749bx_0woA0ah2HIBaJJsnpEJUkxRfZNJWGBN3HGBhx3QrO0NjjvoKjNaT2bkBibBB5POucoIjPDCKkK71ouvSGZGJ6-etwA-EloMKzLXPknm4g57Aq8b5UHcui18wjw7LLT5ROAE0O3k9Pc2_jCZcX-MNmrCSemeJSrB2lAAecbPFVx7W_5omDbAZUoHN_izxYxjKtaBAKztsyWQJNBBMQwZ52L1sxmRDsc0Hi9tAxiMq8N96fVyQWlhqC7UgAKhCG23_7jkWbe-f8elrgx9hsZmlTrEHcVlsHK95lWrCQU3k8_U4grUhnTcSoq9TACCpzYb8Fls2S2a92p4XsudE2YrNEcbp05qKLEyLO1NzxRktKvrClx148ZUwf9DZsjQCtdQz6kxOLHMm8ebkPlGXU-jLzK5hzczIanqS53GQvRYVD58QM1zgtpSv7nsr5uMVGiIn5SwXADDbZFGHPyCYSxtQU-MjR76vtt7Pgm35K3fUpSqJB9CkI4Pwt9k06vOD5YHm74=", "id": "rs_06d034090aab91f3016a0ce89085008194b689d3d92a4d5d32", "summary": []}], "tool_calls": [{"id": "call_uqgeK7wafve2PAEINCn7wLM6", "call_id": "call_uqgeK7wafve2PAEINCn7wLM6", "response_item_id": "fc_06d034090aab91f3016a0ce891360c8194b5502185f85aa97f", "type": "function", "function": {"name": "skill_view", "arguments": "{\"name\":\"health-bridge\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"health-bridge\", \"description\": \"Manage the Health Bridge system — Android app that syncs Health Connect data to the Oracle server. Use when maintaining, rebuilding, deploying, or troubleshooting the health sync pipeline.\", \"tags\": [], \"related_skills\": [], \"content\": \"---\\nname: health-bridge\\ndescription: Manage the Health Bridge system — Android app that syncs Health Connect data to the Oracle server. Use when maintaining, rebuilding, deploying, or troubleshooting the health sync pipeline.\\ncategory: fitness\\n---\\n\\n# Health Bridge\\n\\nAndroid app (Kotlin) + Python server (FastAPI/SQLite) that pulls all Health Connect data from Chicho's Pixel 9a and stores it on the Oracle VPS for Pipo to query.\\n\\n## Architecture\\n\\n```\\nPixel 9a (Health Bridge app)\\n │ WorkManager every 60 min\\n │ or manual \\\"Sync Now\\\" button\\n ▼\\nPOST http://100.87.116.90:3007/ingest (Tailscale mesh)\\n │ Bearer token auth\\n ▼\\nOracle VPS (systemd: health-bridge)\\n │ FastAPI + SQLite (~/health-bridge/health.db)\\n ▼\\nPipo queries: /summary, /data\\n```\\n\\n## Server (Oracle VPS)\\n\\n**Service:** `systemd health-bridge` \\n**Port:** 3007 (HTTP, Tailscale-only) \\n**Code:** `~/health-bridge/server.py` \\n**DB:** `~/health-bridge/health.db` \\n**Token:** `XXMYWq-ft146fRL0AlNV_5P9Vg4NNJJa4pHxqDvzRkg`\\n\\n### Endpoints\\n\\n| Method | Path | Auth | Purpose |\\n|--------|------|------|---------|\\n| GET | `/health` | none | Ping |\\n| GET | `/` | none | Status |\\n| POST | `/ingest` | Bearer | Receive Health Connect data |\\n| GET | `/summary?days=7` | Bearer | Daily aggregated summary |\\n| GET | `/data?data_type=steps&limit=100` | Bearer | Raw records |\\n| GET | `/download` | none | Download latest APK |\\n\\n### Management\\n\\n```bash\\nsudo systemctl status health-bridge\\nsudo systemctl restart health-bridge\\nsudo journalctl -u health-bridge -f\\n\\n# Test ingest\\ncurl -s -X POST http://100.87.116.90:3007/ingest \\\\\\n -H \\\"Authorization: Bearer XXMYWq-ft146fRL0AlNV_5P9Vg4NNJJa4pHxqDvzRkg\\\" \\\\\\n -H \\\"Content-Type: application/json\\\" \\\\\\n -d '{\\\"records\\\":[{\\\"type\\\":\\\"steps\\\",\\\"count\\\":5000}]}'\\n\\n# Query summary\\ncurl -s http://100.87.116.90:3007/summary?days=3 \\\\\\n -H \\\"Authorization: Bearer XXMYWq-ft146fRL0AlNV_5P9Vg4NNJJa4pHxqDvzRkg\\\"\\n```\\n\\n## Android App\\n\\n**Package:** `com.healthbridge.app` \\n**Source:** `~/health-bridge/android-app/` \\n**APK:** `~/health-bridge/static/health-bridge.apk` (served at `/download`)\\n\\n### Data Types Synced (22 total)\\n\\nAggregated: steps, distance, floors, active kcal, total kcal \\nHeart: heart rate samples, resting HR, HRV \\nVitals: blood pressure, blood glucose, O₂ saturation, body temperature, respiratory rate \\nBody: weight, body fat, height \\nSleep: sessions \\nExercise: sessions \\nNutrition: meals, hydration \\nMetabolic: BMR\\n\\n### Build & Deploy\\n\\n**Prerequisites on Oracle ARM64:**\\n- Java 17 (`openjdk-17-jdk-headless`)\\n- Android SDK at `/opt/android-sdk` (cmdline-tools, platform 36, build-tools 34.0.0)\\n- `box64` for x86_64 AAPT2 emulation\\n- Gradle 8.11.1+ (wrapper in project)\\n\\n```bash\\ncd ~/health-bridge/android-app\\n./gradlew assembleDebug --no-daemon\\n\\n# Copy to static\\ncp app/build/outputs/apk/debug/app-debug.apk ~/health-bridge/static/health-bridge.apk\\n\\n# Install on Pixel 9a (ADB must be connected)\\nadb -s 100.111.239.9: install -r ~/health-bridge/static/health-bridge.apk\\n```\\n\\n## ADB Connection to Pixel\\n\\nSee `pixel-6a` skill for full ADB flow. Pixel 9a IP: `100.111.239.9` (varies).\\n\\nQuick reconnect:\\n```bash\\n# Pair first (needs fresh code from phone)\\nadb pair 100.111.239.9: \\n\\n# Connect (different port!)\\nadb connect 100.111.239.9:\\nadb devices # confirm \\\"device\\\" status\\n```\\n\\n## Health Connect Intent\\n\\nThe app opens Health Connect settings via:\\n```kotlin\\nIntent(Intent.ACTION_MAIN).apply {\\n setClassName(\\n \\\"com.google.android.healthconnect.controller\\\",\\n \\\"com.android.healthconnect.controller.navigation.TrampolineActivity\\\"\\n )\\n flags = Intent.FLAG_ACTIVITY_NEW_TASK\\n}\\n```\\n\\nFallback: `ConnectAppsOnboardingActivity`\\n\\n## Pitfalls\\n\\n- **Health Connect API 1.1.0** changed types significantly: Energy/Length/Mass values need `.inKilocalories`/`.inMeters`/etc., not raw numbers. `SleepSessionRecord.stage` → removed. `NutritionRecord.time` → `startTime`. `BloodPressureRecord.bodyPosition` is non-nullable.\\n- **compileSdk 36 required** for `health.connect:connect-client:1.1.0`\\n- **Box64 needed** on ARM64 — Android SDK build-tools ship x86_64 AAPT2 binaries\\n- **Permissions:** User must grant ALL types in Health Connect manually. The app opens the HC settings screen; it cannot auto-grant.\\n- **HTTP only** (Tailscale mesh encrypts). `usesCleartextTraffic=true` in manifest.\\n- **Daily aggregate sanity:** Android should compute `today` aggregates from local start-of-day → now, not from the sync lookback window. Backend daily summaries should be idempotent overwrites/upserts, not additive sums of repeated manual/hourly syncs. After rebuilding/installing, ask Chicho to open Health Bridge and tap Sync Now, then compare `/summary?days=1` against Google Fit/Fitbit today values.\\n\", \"path\": \"fitness/health-bridge/SKILL.md\", \"skill_dir\": \"/home/ubuntu/.hermes/skills/fitness/health-bridge\", \"linked_files\": null, \"usage_hint\": null, \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\"}", "tool_call_id": "call_uqgeK7wafve2PAEINCn7wLM6", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": 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androidx.health.connect.client.HealthConnectFeatures\\n 7|import androidx.health.connect.client.permission.HealthPermission\\n 8|import androidx.health.connect.client.records.*\\n 9|import androidx.health.connect.client.request.AggregateRequest\\n 10|import androidx.health.connect.client.request.ReadRecordsRequest\\n 11|import androidx.health.connect.client.time.TimeRangeFilter\\n 12|import androidx.work.*\\n 13|import kotlinx.coroutines.*\\n 14|import org.json.JSONArray\\n 15|import org.json.JSONObject\\n 16|import java.io.OutputStreamWriter\\n 17|import java.net.HttpURLConnection\\n 18|import java.net.URL\\n 19|import java.time.Duration\\n 20|import java.time.Instant\\n 21|import java.time.LocalDate\\n 22|import java.time.ZoneId\\n 23|import java.time.ZonedDateTime\\n 24|import java.util.concurrent.TimeUnit\\n 25|\\n 26|// ── Config ──────────────────────────────────────────────────────\\n 27|private const val SERVER_URL = \\\"http://100.87.116.90:3007/ingest\\\"\\n 28|private const val AUTH_TOKEN = \\\"XXMYWq-ft146fRL0AlNV_5P9Vg4NNJJa4pHxqDvzRkg\\\"\\n 29|private const val SUBJECT = \\\"chicho\\\"\\n 30|\\n 31|// Every single Health Connect read permission we can request\\n 32|private val AGGREGATE_PERMISSIONS = setOf(\\n 33| HealthPermission.getReadPermission(StepsRecord::class),\\n 34| HealthPermission.getReadPermission(DistanceRecord::class),\\n 35| HealthPermission.getReadPermission(FloorsClimbedRecord::class),\\n 36| HealthPermission.getReadPermission(ActiveCaloriesBurnedRecord::class),\\n 37| HealthPermission.getReadPermission(TotalCaloriesBurnedRecord::class),\\n 38|)\\n 39|\\n 40|private val BODY_PERMISSIONS = setOf(\\n 41| HealthPermission.getReadPermission(WeightRecord::class),\\n 42| HealthPermission.getReadPermission(BodyFatRecord::class),\\n 43| HealthPermission.getReadPermission(HeightRecord::class),\\n 44|)\\n 45|\\n 46|private val VITALS_PERMISSIONS = setOf(\\n 47| HealthPermission.getReadPermission(RestingHeartRateRecord::class),\\n 48| HealthPermission.getReadPermission(HeartRateVariabilityRmssdRecord::class),\\n 49| HealthPermission.getReadPermission(BloodPressureRecord::class),\\n 50| HealthPermission.getReadPermission(BloodGlucoseRecord::class),\\n 51| HealthPermission.getReadPermission(OxygenSaturationRecord::class),\\n 52| HealthPermission.getReadPermission(BodyTemperatureRecord::class),\\n 53| HealthPermission.getReadPermission(RespiratoryRateRecord::class),\\n 54|)\\n 55|\\n 56|private val NUTRITION_PERMISSIONS = setOf(\\n 57| HealthPermission.getReadPermission(NutritionRecord::class),\\n 58| HealthPermission.getReadPermission(HydrationRecord::class),\\n 59|)\\n 60|\\n 61|internal val BACKGROUND_READ_PERMISSION = HealthPermission.PERMISSION_READ_HEALTH_DATA_IN_BACKGROUND\\n 62|\\n 63|internal val ALL_PERMISSIONS = AGGREGATE_PERMISSIONS + BODY_PERMISSIONS + VITALS_PERMISSIONS + NUTRITION_PERMISSIONS + setOf(\\n 64| HealthPermission.getReadPermission(SpeedRecord::class),\\n 65| HealthPermission.getReadPermission(PowerRecord::class),\\n 66| HealthPermission.getReadPermission(ExerciseSessionRecord::class),\\n 67| HealthPermission.getReadPermission(HeartRateRecord::class),\\n 68| HealthPermission.getReadPermission(SleepSessionRecord::class),\\n 69| HealthPermission.getReadPermission(BasalMetabolicRateRecord::class),\\n 70|)\\n 71|\\n 72|// ── Sync Worker (Background) ────────────────────────────────────\\n 73|\\n 74|class SyncWorker(context: Context, params: WorkerParameters) : CoroutineWorker(context, params) {\\n 75| override suspend fun doWork(): Result {\\n 76| val syncer = HealthConnectSync(applicationContext)\\n 77| if (!syncer.canBackgroundSync()) {\\n 78| Log.i(\\\"HealthBridge\\\", \\\"Daily sync skipped: background Health Connect permission unavailable or not granted\\\")\\n 79| return Result.success()\\n 80| }\\n 81| val result = syncer.syncAll()\\n 82| Log.i(\\\"HealthBridge\\\", result)\\n 83| return if (result.startsWith(\\\"OK\\\")) Result.success() else Result.retry()\\n 84| }\\n 85|}\\n 86|\\n 87|// ── Sync Logic ──────────────────────────────────────────────────\\n 88|\\n 89|class HealthConnectSync(private val context: Context) {\\n 90|\\n 91| private val client: HealthConnectClient by lazy { HealthConnectClient.getOrCreate(context) }\\n 92|\\n 93| suspend fun syncAll(): String = withContext(Dispatchers.IO) {\\n 94| try {\\n 95| val granted = client.permissionController.getGrantedPermissions()\\n 96| if (granted.isEmpty()) {\\n 97| return@withContext \\\"ERROR: No Health Connect permissions granted. Open app and tap Grant Permissions.\\\"\\n 98| }\\n 99|\\n 100| val now = Instant.now()\\n 101| val zoneId = ZoneId.systemDefault()\\n 102| val today = LocalDate.now(zoneId)\\n 103| val startDate = today.minusDays(6)\\n 104| val start = startDate.atStartOfDay(zoneId).toInstant()\\n 105| val records = JSONArray()\\n 106|\\n 107| addAll(records, readDailyAggregates(startDate, today, now, zoneId, granted))\\n 108| if (has(granted, HeartRateRecord::class)) addAll(records, readHeartRateSamples(start, now))\\n 109| if (has(granted, SleepSessionRecord::class)) addAll(records, readSleep(start, now))\\n 110| if (has(granted, ExerciseSessionRecord::class)) addAll(records, readExercise(start, now))\\n 111| addAll(records, readVitals(start, now, granted))\\n 112| addAll(records, readBody(start, now, granted))\\n 113| addAll(records, readNutrition(start, now, granted))\\n 114|\\n 115| if (records.length() == 0) {\\n 116| return@withContext \\\"OK: No new data from ${granted.size} granted permissions\\\"\\n 117| }\\n 118|\\n 119| val body = JSONObject().apply {\\n 120| put(\\\"subject\\\", SUBJECT)\\n 121| put(\\\"timezone\\\", zoneId.id)\\n 122| put(\\\"records\\\", records)\\n 123| }\\n 124| val httpResult = postJson(SERVER_URL, body, AUTH_TOKEN)\\n 125| if (!httpResult.startsWith(\\\"HTTP 2\\\")) return@withContext \\\"ERROR: Upload failed. $httpResult\\\"\\n 126| \\\"OK: Sent ${records.length()} records. $httpResult\\\"\\n 127|\\n 128| } catch (e: Exception) {\\n 129| Log.e(\\\"HealthBridge\\\", \\\"Sync failed\\\", e)\\n 130| \\\"ERROR: ${e.javaClass.simpleName}: ${e.message}\\\"\\n 131| }\\n 132| }\\n 133|\\n 134| suspend fun grantedPermissionCount(): Int {\\n 135| return try {\\n 136| client.permissionController.getGrantedPermissions().size\\n 137| } catch (e: Exception) {\\n 138| 0\\n 139| }\\n 140| }\\n 141|\\n 142| suspend fun canBackgroundSync(): Boolean {\\n 143| return try {\\n 144| client.features.getFeatureStatus(\\n 145| HealthConnectFeatures.FEATURE_READ_HEALTH_DATA_IN_BACKGROUND\\n 146| ) == HealthConnectFeatures.FEATURE_STATUS_AVAILABLE &&\\n 147| client.permissionController.getGrantedPermissions().contains(BACKGROUND_READ_PERMISSION)\\n 148| } catch (e: Exception) {\\n 149| false\\n 150| }\\n 151| }\\n 152|\\n 153| suspend fun hasPermissions(permissions: Set): Boolean {\\n 154| return try {\\n 155| val granted = client.permissionController.getGrantedPermissions()\\n 156| granted.containsAll(permissions)\\n 157| } catch (e: Exception) {\\n 158| false\\n 159| }\\n 160| }\\n 161|\\n 162| private fun has(granted: Set, recordType: kotlin.reflect.KClass): Boolean =\\n 163| granted.contains(HealthPermission.getReadPermission(recordType))\\n 164|\\n 165| private fun hasAll(granted: Set, permissions: Set): Boolean = granted.containsAll(permissions)\\n 166|\\n 167| // ── Aggregated Totals ─────────────────────────────────────\\n 168|\\n 169| private suspend fun readDailyAggregates(\\n 170| startDate: LocalDate,\\n 171| endDate: LocalDate,\\n 172| now: Instant,\\n 173| zoneId: ZoneId,\\n 174| granted: Set\\n 175| ): JSONArray {\\n 176| val arr = JSONArray()\\n 177| var date = startDate\\n 178| while (!date.isAfter(endDate)) {\\n 179| val start = date.atStartOfDay(zoneId)\\n 180| val end = minOf(start.plusDays(1).toInstant(), now)\\n 181| readAggregatedDay(date, start, end, zoneId, granted)?.let { arr.put(it) }\\n 182| date = date.plusDays(1)\\n 183| }\\n 184| return arr\\n 185| }\\n 186|\\n 187| private suspend fun readAggregatedDay(\\n 188| localDate: LocalDate,\\n 189| start: ZonedDateTime,\\n 190| end: Instant,\\n 191| zoneId: ZoneId,\\n 192| granted: Set\\n 193| ): JSONObject? {\\n 194| val startInstant = start.toInstant()\\n 195| val obj = JSONObject().apply {\\n 196| put(\\\"type\\\", \\\"daily_aggregate\\\")\\n 197| put(\\\"local_date\\\", localDate.toString())\\n 198| put(\\\"timezone\\\", zoneId.id)\\n 199| put(\\\"period_start\\\", startInstant.toString())\\n 200| put(\\\"period_end\\\", end.toString())\\n 201| put(\\\"subject\\\", SUBJECT)\\n 202| put(\\\"record_key\\\", \\\"daily_aggregate:$SUBJECT:$localDate\\\")\\n 203| put(\\\"source\\\", \\\"health_connect\\\")\\n 204| }\\n 205| if (!startInstant.isBefore(end)) return null\\n 206| if (has(granted, StepsRecord::class)) {\\n 207| client.aggregate(AggregateRequest(setOf(StepsRecord.COUNT_TOTAL), TimeRangeFilter.between(startInstant, end)))[StepsRecord.COUNT_TOTAL]\\n 208| ?.let { obj.put(\\\"steps\\\", it) } ?: obj.put(\\\"steps\\\", 0)\\n 209| }\\n 210| if (has(granted, DistanceRecord::class)) {\\n 211| client.aggregate(AggregateRequest(setOf(DistanceRecord.DISTANCE_TOTAL), TimeRangeFilter.between(startInstant, end)))[DistanceRecord.DISTANCE_TOTAL]\\n 212| ?.let { obj.put(\\\"distance_m\\\", it.inMeters) } ?: obj.put(\\\"distance_m\\\", 0.0)\\n 213| }\\n 214| if (has(granted, FloorsClimbedRecord::class)) {\\n 215| client.aggregate(AggregateRequest(setOf(FloorsClimbedRecord.FLOORS_CLIMBED_TOTAL), TimeRangeFilter.between(startInstant, end)))[FloorsClimbedRecord.FLOORS_CLIMBED_TOTAL]\\n 216| ?.let { obj.put(\\\"floors\\\", it) } ?: obj.put(\\\"floors\\\", 0.0)\\n 217| }\\n 218| if (has(granted, ActiveCaloriesBurnedRecord::class)) {\\n 219| client.aggregate(AggregateRequest(setOf(ActiveCaloriesBurnedRecord.ACTIVE_CALORIES_TOTAL), TimeRangeFilter.between(startInstant, end)))[ActiveCaloriesBurnedRecord.ACTIVE_CALORIES_TOTAL]\\n 220| ?.let { obj.put(\\\"active_kcal\\\", it.inKilocalories) } ?: obj.put(\\\"active_kcal\\\", 0.0)\\n 221| }\\n 222| if (has(granted, TotalCaloriesBurnedRecord::class)) {\\n 223| client.aggregate(AggregateRequest(setOf(TotalCaloriesBurnedRecord.ENERGY_TOTAL), TimeRangeFilter.between(startInstant, end)))[TotalCaloriesBurnedRecord.ENERGY_TOTAL]\\n 224| ?.let { obj.put(\\\"total_kcal\\\", it.inKilocalories) } ?: obj.put(\\\"total_kcal\\\", 0.0)\\n 225| }\\n 226|\\n 227| return obj\\n 228| }\\n 229|\\n 230| // ── Heart Rate Samples ────────────────────────────────────\\n 231|\\n 232| private suspend fun readHeartRateSamples(start: Instant, end: Instant): JSONArray? {\\n 233| val records = readAllRecords(start, end, 5000)\\n 234| if (records.isEmpty()) return null\\n 235|\\n 236| val byDate = linkedMapOf>()\\n 237| for (r in records) {\\n 238| for (s in r.samples) {\\n 239| byDate.getOrPut(localDate(s.time)) { mutableListOf() }.add(s)\\n 240| }\\n 241|\", \"total_lines\": 571, \"file_size\": 25229, \"truncated\": true, \"hint\": \"Use offset=241 to continue reading (showing 1-240 of 571 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_lnRb6ihUxvCyTCrqyuQRRQpD", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": 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put(\\\"id\\\", id)\\n 530| put(\\\"subject\\\", SUBJECT)\\n 531| put(\\\"source\\\", source)\\n 532| put(\\\"record_key\\\", if (id.isNotBlank()) \\\"$type:$SUBJECT:$id:$local\\\" else \\\"$type:$SUBJECT:$source:$cursor:$segmentEnd\\\")\\n 533| put(\\\"start\\\", cursor.toString())\\n 534| put(\\\"end\\\", segmentEnd.toString())\\n 535| put(\\\"local_date\\\", local.toString())\\n 536| put(\\\"minutes\\\", minutes)\\n 537| extra(this)\\n 538| })\\n 539| }\\n 540| cursor = segmentEnd\\n 541| }\\n 542| }\\n 543|\\n 544| private fun localDate(instant: Instant): String =\\n 545| instant.atZone(ZoneId.systemDefault()).toLocalDate().toString()\\n 546|\\n 547| private fun postJson(urlStr: String, json: JSONObject, token: String): String {\\n 548| val url = URL(urlStr)\\n 549| val conn = url.openConnection() as HttpURLConnection\\n 550| try {\\n 551| conn.requestMethod = \\\"POST\\\"\\n 552| conn.setRequestProperty(\\\"Content-Type\\\", \\\"application/json\\\")\\n 553| conn.setRequestProperty(\\\"Authorization\\\", \\\"Bearer $token\\\")\\n 554| conn.doOutput = true\\n 555| conn.connectTimeout = 15_000\\n 556| conn.readTimeout = 15_000\\n 557|\\n 558| OutputStreamWriter(conn.outputStream).use { it.write(json.toString()) }\\n 559|\\n 560| val code = conn.responseCode\\n 561| val body = if (code in 200..299)\\n 562| conn.inputStream.bufferedReader().readText()\\n 563| else\\n 564| conn.errorStream?.bufferedReader()?.readText() ?: \\\"\\\"\\n 565|\\n 566| return \\\"HTTP $code: ${body.take(200)}\\\"\\n 567| } finally {\\n 568| conn.disconnect()\\n 569| }\\n 570| }\\n 571|}\\n 572|\", \"total_lines\": 571, \"file_size\": 25229, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_T1TkJ3gcQCRb4aVOfjfWM7uJ", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_spKW8kA0bKDg240BZzisLKeJ", "call_id": "call_spKW8kA0bKDg240BZzisLKeJ", "response_item_id": "fc_06d034090aab91f3016a0ce8a462d48194b9eba6bcf95505e6", "type": "function", "function": {"name": "search_files", "arguments": "{\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\",\"pattern\":\"readAllRecords|pageToken|pageSize\",\"target\":\"content\",\"context\":3}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "search_files", "content": "{\"total_count\": 126, \"matches\": [{\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 230, \"content\": \" // ── Heart Rate Samples ────────────────────────────────────\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 231, \"content\": \"\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 232, \"content\": \" private suspend fun readHeartRateSamples(start: Instant, end: Instant): JSONArray? {\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 233, \"content\": \" val records = readAllRecords(start, end, 5000)\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 234, \"content\": \" if (records.isEmpty()) return null\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 235, \"content\": \"\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 236, \"content\": \" val byDate = linkedMapOf>()\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 268, \"content\": \" // ── Sleep ─────────────────────────────────────────────────\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 269, \"content\": \"\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 270, \"content\": \" private suspend fun readSleep(start: Instant, end: Instant): JSONArray? {\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 271, \"content\": \" val records = readAllRecords(start, end, 500)\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 272, \"content\": \" if (records.isEmpty()) return null\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 273, \"content\": \"\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 274, \"content\": \" val arr = JSONArray()\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 284, \"content\": \" // ── Exercise ──────────────────────────────────────────────\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 285, \"content\": \"\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 286, \"content\": \" private suspend fun readExercise(start: Instant, end: Instant): JSONArray? {\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 287, \"content\": \" val records = readAllRecords(start, end, 500)\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 288, \"content\": \" if (records.isEmpty()) return null\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 289, \"content\": \"\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 290, \"content\": \" val arr = JSONArray()\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 304, \"content\": \" val arr = JSONArray()\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 305, \"content\": \"\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 306, \"content\": \" // Resting heart rate\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 307, \"content\": \" if (has(granted, RestingHeartRateRecord::class)) readAllRecords(start, end, 500).forEach { r ->\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 308, \"content\": \" arr.put(JSONObject().apply {\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 309, \"content\": \" put(\\\"type\\\", \\\"resting_heart_rate\\\")\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 310, \"content\": \" putRecordIdentity(\\\"resting_heart_rate\\\", r.metadata.id, r.metadata.dataOrigin.packageName, r.time)\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 315, \"content\": \" }\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 316, \"content\": \"\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 317, \"content\": \" // HRV\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 318, \"content\": \" if (has(granted, HeartRateVariabilityRmssdRecord::class)) readAllRecords(start, end, 500).forEach { r ->\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 319, \"content\": \" arr.put(JSONObject().apply {\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 320, \"content\": \" put(\\\"type\\\", \\\"hrv\\\")\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 321, \"content\": \" putRecordIdentity(\\\"hrv\\\", r.metadata.id, r.metadata.dataOrigin.packageName, r.time)\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 326, \"content\": \" }\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 327, \"content\": \"\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 328, \"content\": \" // Blood pressure\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 329, \"content\": \" if (has(granted, BloodPressureRecord::class)) readAllRecords(start, end, 500).forEach { r ->\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 330, \"content\": \" arr.put(JSONObject().apply {\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 331, \"content\": \" put(\\\"type\\\", \\\"blood_pressure\\\")\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 332, \"content\": \" putRecordIdentity(\\\"blood_pressure\\\", r.metadata.id, r.metadata.dataOrigin.packageName, r.time)\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 340, \"content\": \" }\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 341, \"content\": \"\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 342, \"content\": \" // Blood glucose\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 343, \"content\": \" if (has(granted, BloodGlucoseRecord::class)) readAllRecords(start, end, 500).forEach { r ->\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 344, \"content\": \" arr.put(JSONObject().apply {\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 345, \"content\": \" put(\\\"type\\\", \\\"blood_glucose\\\")\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 346, \"content\": \" putRecordIdentity(\\\"blood_glucose\\\", r.metadata.id, r.metadata.dataOrigin.packageName, r.time)\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 352, \"content\": \" }\"}], \"truncated\": true}\n\n[Hint: Results truncated. Use offset=50 to see more, or narrow with a more specific pattern or file_glob.]", "tool_call_id": "call_spKW8kA0bKDg240BZzisLKeJ", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_5VKVvS9EZwspZ9OEV9uBACgd", "call_id": "call_5VKVvS9EZwspZ9OEV9uBACgd", "response_item_id": "fc_06d034090aab91f3016a0ce8a7268c8194b3045a647316c694", "type": "function", "function": {"name": "search_files", "arguments": "{\"context\":3,\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\",\"pattern\":\"private suspend inline fun|inline fun|readRecords\",\"target\":\"content\",\"limit\":50,\"offset\":80}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "search_files", "content": "{\"total_count\": 11}", "tool_call_id": "call_5VKVvS9EZwspZ9OEV9uBACgd", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_yZZGfFKoQbYlyRhOdZN8UHCO", "call_id": "call_yZZGfFKoQbYlyRhOdZN8UHCO", "response_item_id": "fc_06d034090aab91f3016a0ce8ac344c8194af05285e85dd6232", "type": "function", "function": {"name": "search_files", "arguments": "{\"context\":5,\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\",\"pattern\":\"readRecords\\\\(\",\"target\":\"content\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "search_files", "content": "{\"total_count\": 11, \"matches\": [{\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 492, \"content\": \"\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 493, \"content\": \" private suspend inline fun readAllRecords(start: Instant, end: Instant, pageSize: Int): List {\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 494, \"content\": \" val all = mutableListOf()\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 495, \"content\": \" var pageToken: String? = null\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 496, \"content\": \" do {\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 497, \"content\": \" val response = client.readRecords(\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 498, \"content\": \" ReadRecordsRequest(\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 499, \"content\": \" recordType = T::class,\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 500, \"content\": \" timeRangeFilter = TimeRangeFilter.between(start, end),\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 501, \"content\": \" pageSize = pageSize,\"}, {\"path\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\", \"line\": 502, \"content\": \" pageToken = pageToken\"}]}", "tool_call_id": "call_yZZGfFKoQbYlyRhOdZN8UHCO", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_xWzB51CzgPa8yNdClG9ijxYV", "call_id": "call_xWzB51CzgPa8yNdClG9ijxYV", "response_item_id": "fc_06d034090aab91f3016a0ce8af0f608194ab7c7785cd1fb41c", "type": "function", "function": {"name": "read_file", "arguments": "{\"offset\":488,\"limit\":30,\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "read_file", "content": "{\"content\": \" 488| put(\\\"subject\\\", SUBJECT)\\n 489| put(\\\"source\\\", source)\\n 490| put(\\\"record_key\\\", if (id.isNotBlank()) \\\"$type:$SUBJECT:$id\\\" else \\\"$type:$SUBJECT:$source:$start:${end ?: \\\"\\\"}\\\")\\n 491| }\\n 492|\\n 493| private suspend inline fun readAllRecords(start: Instant, end: Instant, pageSize: Int): List {\\n 494| val all = mutableListOf()\\n 495| var pageToken: String? = null\\n 496| do {\\n 497| val response = client.readRecords(\\n 498| ReadRecordsRequest(\\n 499| recordType = T::class,\\n 500| timeRangeFilter = TimeRangeFilter.between(start, end),\\n 501| pageSize = pageSize,\\n 502| pageToken = pageToken\\n 503| )\\n 504| )\\n 505| all.addAll(response.records)\\n 506| pageToken = response.pageToken\\n 507| } while (!pageToken.isNullOrBlank())\\n 508| return all\\n 509| }\\n 510|\\n 511| private fun addIntervalSegments(\\n 512| arr: JSONArray,\\n 513| type: String,\\n 514| id: String,\\n 515| source: String,\\n 516| start: Instant,\\n 517| end: Instant,\\n 518|\", \"total_lines\": 571, \"file_size\": 25229, \"truncated\": true, \"hint\": \"Use offset=518 to continue reading (showing 488-517 of 571 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_xWzB51CzgPa8yNdClG9ijxYV", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": "**Considering sync options**\n\nI need to think about the starting date for the patch—maybe adding a historical sync mode is a good idea. If I set it to January 1st, I could build the APK. However, syncing all data for 2026 each hour doesn't seem efficient. I should consider improving the MainActivity, perhaps with a manual button for syncing all at once. Adding functions like syncRecent for workers and syncYear2026 for manual input could be useful since the user wants to import everything. I need to inspect the Main component closely.", "finish_reason": "tool_calls", "reasoning_content": "**Considering sync options**\n\nI need to think about the starting date for the patch—maybe adding a historical sync mode is a good idea. If I set it to January 1st, I could build the APK. However, syncing all data for 2026 each hour doesn't seem efficient. I should consider improving the MainActivity, perhaps with a manual button for syncing all at once. Adding functions like syncRecent for workers and syncYear2026 for manual input could be useful since the user wants to import everything. I need to inspect the Main component closely.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDOi52WzyUrBKRERLUuiI5kEj_msD_HtKT03MEwp9Z9zwxTp6DZPezNoi5EatFc0c52RydPej7TomQLbzryeWz0g5SDACCbHyL3v21JZM8yUeZHXm5z2NZgjV-GRVDgjIPCmKudMbvFJNlnPKXCXR0XUZlG3A9KEjqbS4G5EgXSKZH2FayvSL5RdP8aXB4Vd1fdxjZz3hOPEZ2FN4rzEBTIfDp0NvLC9xZ33gAE3HvIK8x0W5ThPAsCsKT4pmXwlSqnAr99hWywynNQjIOrUPgpq7QPCsljTq7GxQ3bn88lxp9B6b9Qn-FBt310kqp5WR0_QKsh-ZpnVlUSkjQ6GuWQEVsc4752Nuki5R8IdLkJ2xvmKWmo3VUSWgyj9-BYsb3nW1vH5iAUhPe2SprAcVkQhN5zPAr06Dn1vXF7Vjscf6rpA15yJjGHgfMBjH_NvjUU8Ff_VQIrQMModjQRHjq5YVOlISa_FIwB3nWTHcGQu9zlsKAMD8WfMmcXdkt9ODgj6hIe5Hy6dwepSiNJ_4ispf343Uzz83UhGhzUKBaC-MCQJ5Mu8feONAYWyNaHLUmYh2kjNFfIPc-3PHlYuzMfEww3tVQfp_ydHG88NKE87R83eG9H9ht7Y-JahhIUHOvosFPM1zUv-vGSECGDJPClU1SKR3o3Cu-CLjEUSNdKePW0DL248W06w95m-qYusYByjgrwpS-Dv8q0yfDtftmZN1XHrbO7zY4X2iqTzeEAy3FKoJxxmYMiH-a_qOY5O8dgmnUOQAM2NGTTBzDTpQaBTPmg09gVsgKwk7tP7EHzdo_ZMOQFJOxnEoEnKZoDNFJfVtp7b-1e6Td3hSlmyyjGVPqUO2e3NkGTKyqubH8I96HMINqWYrY_BM6e7d5c09pzSnJA1C5X4SYDWMZRqlaWD4_e82rO913oRmgn1RxM2dhEOH7mM204nsqHl6ox9w8-MbrVqV_nz2IRKr-xrhfVMFh1a7n88fIXSdHxdJ8wa4tQ_diVy2ou4l9_Wt2WiHXdwv_sKuzX5B0-StU9L4ig7B_0WQHs73_EgHoHLD-hjI5JsrMCQItpVJfqb0A7mRXJxnqDL4mpDpGyT2WkSEarpOT27NGtnBfLRHuXEetbAEIPVyYZmzqGUqRoHlFm8Nl-pMjA8_u3BoNSfy2E_TgdWhCBRaxaVV2KS72kdoUTSz6IYoFYBewOzdJA7z1dPCFa7jJKcH5CRpjXgkdDrWGIblq_PQNETVPOmFc4M8MLn8pb-DaqI_B9ShA2FJ_em6WPxUP01cxE11DH0jyngYCXWYiA==", "id": "rs_06d034090aab91f3016a0ce8b488a081949fbd76f6aadc9b35", "summary": [{"type": "summary_text", "text": "**Considering sync options**\n\nI need to think about the starting date for the patch—maybe adding a historical sync mode is a good idea. If I set it to January 1st, I could build the APK. However, syncing all data for 2026 each hour doesn't seem efficient. I should consider improving the MainActivity, perhaps with a manual button for syncing all at once. Adding functions like syncRecent for workers and syncYear2026 for manual input could be useful since the user wants to import everything. I need to inspect the Main component closely."}]}], "tool_calls": [{"id": "call_5ubTHIaRGpWpAJSVHTfL74V1", "call_id": "call_5ubTHIaRGpWpAJSVHTfL74V1", "response_item_id": "fc_06d034090aab91f3016a0ce8b913a48194a60fc7fe742fe6ed", "type": "function", "function": {"name": "read_file", "arguments": "{\"limit\":220,\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/MainActivity.kt\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "read_file", "content": "{\"content\": \" 1|package com.healthbridge.app\\n 2|\\n 3|import android.os.Bundle\\n 4|import android.widget.Button\\n 5|import android.widget.TextView\\n 6|import androidx.activity.result.ActivityResultLauncher\\n 7|import androidx.appcompat.app.AppCompatActivity\\n 8|import androidx.health.connect.client.HealthConnectClient\\n 9|import androidx.health.connect.client.HealthConnectFeatures\\n 10|import androidx.health.connect.client.PermissionController\\n 11|import androidx.lifecycle.lifecycleScope\\n 12|import androidx.work.*\\n 13|import java.util.concurrent.TimeUnit\\n 14|import kotlinx.coroutines.*\\n 15|\\n 16|class MainActivity : AppCompatActivity() {\\n 17|\\n 18| private lateinit var statusText: TextView\\n 19| private lateinit var syncButton: Button\\n 20| private lateinit var permButton: Button\\n 21| private lateinit var permLauncher: ActivityResultLauncher>\\n 22|\\n 23| override fun onCreate(savedInstanceState: Bundle?) {\\n 24| super.onCreate(savedInstanceState)\\n 25| setContentView(R.layout.activity_main)\\n 26|\\n 27| permLauncher = registerForActivityResult(\\n 28| PermissionController.createRequestPermissionResultContract()\\n 29| ) { granted ->\\n 30| statusText.text = \\\"Returned from Health Connect: ${granted.size} permissions granted\\\"\\n 31| checkAndUpdateStatus()\\n 32| }\\n 33|\\n 34| statusText = findViewById(R.id.status_text)\\n 35| syncButton = findViewById(R.id.sync_button)\\n 36| permButton = findViewById(R.id.perm_button)\\n 37|\\n 38| syncButton.setOnClickListener { doSync() }\\n 39| permButton.setOnClickListener { requestHealthPermissions() }\\n 40|\\n 41| checkAndUpdateStatus()\\n 42| }\\n 43|\\n 44| override fun onResume() {\\n 45| super.onResume()\\n 46| checkAndUpdateStatus()\\n 47| }\\n 48|\\n 49| private fun requestHealthPermissions() {\\n 50| try {\\n 51| when (HealthConnectClient.getSdkStatus(this)) {\\n 52| HealthConnectClient.SDK_AVAILABLE -> {\\n 53| val client = HealthConnectClient.getOrCreate(this)\\n 54| val permissions = if (client.features.getFeatureStatus(\\n 55| HealthConnectFeatures.FEATURE_READ_HEALTH_DATA_IN_BACKGROUND\\n 56| ) == HealthConnectFeatures.FEATURE_STATUS_AVAILABLE\\n 57| ) {\\n 58| ALL_PERMISSIONS + BACKGROUND_READ_PERMISSION\\n 59| } else {\\n 60| ALL_PERMISSIONS\\n 61| }\\n 62| permLauncher.launch(permissions)\\n 63| }\\n 64| HealthConnectClient.SDK_UNAVAILABLE_PROVIDER_UPDATE_REQUIRED -> {\\n 65| statusText.text = \\\"Health Connect needs to be installed or updated. Open Health Connect, update it, then retry.\\\"\\n 66| }\\n 67| else -> {\\n 68| statusText.text = \\\"Health Connect is not available on this device.\\\"\\n 69| }\\n 70| }\\n 71| } catch (e: Exception) {\\n 72| statusText.text = \\\"Could not open Health Connect permissions: ${e.javaClass.simpleName}: ${e.message}\\\"\\n 73| }\\n 74| }\\n 75|\\n 76| private fun checkAndUpdateStatus() {\\n 77| lifecycleScope.launch(Dispatchers.IO) {\\n 78| val syncer = HealthConnectSync(this@MainActivity)\\n 79| val grantedCount = syncer.grantedPermissionCount()\\n 80| val canAutoSync = syncer.canBackgroundSync()\\n 81| withContext(Dispatchers.Main) {\\n 82| if (grantedCount > 0) {\\n 83| statusText.text = if (canAutoSync) {\\n 84| scheduleDailySync()\\n 85| \\\"✅ Connected — $grantedCount permissions granted. Daily auto-sync enabled.\\\"\\n 86| } else {\\n 87| \\\"✅ Connected — $grantedCount permissions granted. Tap Review Permissions to allow background sync.\\\"\\n 88| }\\n 89| syncButton.isEnabled = true\\n 90| permButton.text = \\\"Review Permissions\\\"\\n 91| } else {\\n 92| statusText.text = \\\"⚠️ Tap 'Grant Permissions' to open Health Connect\\\"\\n 93| syncButton.isEnabled = false\\n 94| permButton.text = \\\"Grant Permissions\\\"\\n 95| }\\n 96| }\\n 97| }\\n 98| }\\n 99|\\n 100| private fun doSync() {\\n 101| syncButton.isEnabled = false\\n 102| statusText.text = \\\"Syncing...\\\"\\n 103|\\n 104| lifecycleScope.launch(Dispatchers.IO) {\\n 105| val syncer = HealthConnectSync(this@MainActivity)\\n 106| val result = syncer.syncAll()\\n 107| withContext(Dispatchers.Main) {\\n 108| statusText.text = result\\n 109| syncButton.isEnabled = true\\n 110| }\\n 111| }\\n 112| }\\n 113|\\n 114| private fun scheduleDailySync() {\\n 115| val constraints = Constraints.Builder()\\n 116| .setRequiredNetworkType(NetworkType.CONNECTED)\\n 117| .build()\\n 118|\\n 119| val request = PeriodicWorkRequestBuilder(24, TimeUnit.HOURS)\\n 120| .setConstraints(constraints)\\n 121| .build()\\n 122|\\n 123| WorkManager.getInstance(this).cancelUniqueWork(\\\"health_daily_sync\\\")\\n 124| WorkManager.getInstance(this)\\n 125| .enqueueUniquePeriodicWork(\\n 126| \\\"health_daily_sync\\\",\\n 127| ExistingPeriodicWorkPolicy.UPDATE,\\n 128| request\\n 129| )\\n 130| }\\n 131|}\\n 132|\", \"total_lines\": 131, \"file_size\": 5047, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_5ubTHIaRGpWpAJSVHTfL74V1", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": "**Considering sync implementation**\n\nI'm thinking about implementing syncRecent and syncSince, or maybe a manual historical sync. Should I add a button for manual syncing all of 2026? It seems easier to just combine doSync calls like syncYearToDate and worker syncRecent. I’ll also consider adding a private syncRange and public methods for syncRecent and syncYearToDate. Additionally, a 15-second server timeout might be too low for many records, especially with potential large data bodies. I'll need to patch this up!", "finish_reason": "tool_calls", "reasoning_content": "**Considering sync implementation**\n\nI'm thinking about implementing syncRecent and syncSince, or maybe a manual historical sync. Should I add a button for manual syncing all of 2026? It seems easier to just combine doSync calls like syncYearToDate and worker syncRecent. I’ll also consider adding a private syncRange and public methods for syncRecent and syncYearToDate. Additionally, a 15-second server timeout might be too low for many records, especially with potential large data bodies. I'll need to patch this up!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDOi_WgXLhvljAdJeE04AABFj7LTGvncx77PWBEfGx32ya0mUuEtxBcgfycY7KurRmxFScOnE1I5LZc4-R6stnK5Uq9aR5rD-3HCbWmnrnwnisJGK72n8yIacc4G9c2mYpeNceZ87qDMCHooBJS-5AHUSs6a_vfGTpOraigq_TdT_Addt6XuhVlcp9cPhRB42xIhuooZoi4WRS_SR6ZQ9Ll_wdcBA_MU4nuVqsaJfFJLyoKDusbPgmRjxqL1nttWnIkf0BuE0j-mTih0RjOFfQC1Cj6xow0epd6r2-Kek-xN_ZSmRC5CJgjLNToJqgOwm7QNto9bRaLSgYHHQSVuRN9zaSak7eFAT5Kr2jD7rI0pZnAi9l9EGCGk3OMRg9abUAa8PYhHjkKUTjekWTgvkGBnNJ4e2FUr0NNKLPpbWo0cpGNXi3DTHak_0pnj0mgxB_sotnA6gFfpVUparWlXjEEi7LUaRiXVmx2B5qPCY0gjmM89p_UZM1veW2VgpO_WhF-F378g4DTy8pRIO8DaDlGYSJ9M5iEC7Q2DrAIYQ9KatzPphpskDYekNk8QArNbl78iRNWaBWvmeTxBe0ce-5oBfLUG3vkNPohvOr5ZL4IzqNN263eKjTXD2x1pFJ0LRb34s3xjo4lAeIDp-sTYEY0IviY18IaCa5aDiJ2RV0Vs476AvibbqKLJ1gY_16K6vFszSDWlgiYD9-AhBfK6Vzg6Bp-UiXqolTKfCk8D5quQXD_pAqeeLfOwyqVxE6iCQejahK02iJKk4s5w5SAX9mrd3LKu_B3suthO3ewwke2tddhC1hIP1R0lX82P_0UvAr4eseChlZN_YBcLa67b67WmrUTxQhQ_vmslvnnA-_OVV8nNVXdqUxTL_G2V7VKPA-AqupKk-Ed0FX7OE5y4yiHzIg6SrHJv9DUz4ll5rhL-z_sT-6wilpAEAtvv1SGwscU6eKe-bYI5p_vjhycJIORL0AKdfm7AYKneOWOOygM21_NH2QhkCH5JxD78mdm82RRRI75SpqwKv-20Bp6NX0yj5WoG5KptOonhyVHJ6b4SVj4_Ci38Z9bEKQ4aU-6vHbOwRcPJF-XdhQ1iLoBhrqtwdofFMYWEgRapMmN2WvYIuTqwGezdtrqEEEwaHd22DuX-8BXm1xEt4V_LUo1XSJovlF-Tlu4KI6yna2O5flyrs6o0Sgl8DBDADk7rlcySEBbm7NZOw4gtEzuH58-sIuP6AnDJzA1Fd9wP2y1m7y2CJxHP-zUy0O4jB2UnwhHUVziMlSmHJFswjlYGklflmMQ6_8FFVZKegWU_ZrcWaZP4E-oxU08ZC6r3VlpG8vDvL8-Jn5FLRk60zr-KmzhSWKWcuMvMWM16ZNT__iDesV2zVjwuf481aGT7kOETaTI-HJTq4YOKSKpawSutBKB9IOae_Wy9WNyQh2XOKrIGot94vUfL1lFX53FfH6lcRYkquJ05PhH6vQjpO3G174g7enzpgx5bZtcdIlv-XAhiU913VHq_jMdyQCAi7rClffAIOHg-X-8ZURhl6Fi3AZ_mkAdo6BpDRVk_DhXI_OKyK8EfInJ8=", "id": "rs_06d034090aab91f3016a0ce8bb9cbc819481d08a1c851cbf01", "summary": [{"type": "summary_text", "text": "**Considering sync implementation**\n\nI'm thinking about implementing syncRecent and syncSince, or maybe a manual historical sync. Should I add a button for manual syncing all of 2026? It seems easier to just combine doSync calls like syncYearToDate and worker syncRecent. I’ll also consider adding a private syncRange and public methods for syncRecent and syncYearToDate. Additionally, a 15-second server timeout might be too low for many records, especially with potential large data bodies. I'll need to patch this up!"}]}], "tool_calls": [{"id": "call_g0NGTYCC8LASe48mZWwDvISq", "call_id": "call_g0NGTYCC8LASe48mZWwDvISq", "response_item_id": "fc_06d034090aab91f3016a0ce8bf9fb08194b55657a2f8265e10", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\",\"old_string\":\" val result = syncer.syncAll()\\n Log.i(\\\"HealthBridge\\\", result)\\n return if (result.startsWith(\\\"OK\\\")) Result.success() else Result.retry()\",\"new_string\":\" val result = syncer.syncRecent()\\n Log.i(\\\"HealthBridge\\\", result)\\n return if (result.startsWith(\\\"OK\\\")) Result.success() else Result.retry()\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n+++ b//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n@@ -78,7 +78,7 @@\\n Log.i(\\\"HealthBridge\\\", \\\"Daily sync skipped: background Health Connect permission unavailable or not granted\\\")\\n return Result.success()\\n }\\n- val result = syncer.syncAll()\\n+ val result = syncer.syncRecent()\\n Log.i(\\\"HealthBridge\\\", result)\\n return if (result.startsWith(\\\"OK\\\")) Result.success() else Result.retry()\\n }\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"], \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .kt files\"}, \"_warning\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt was last read with offset/limit pagination (partial view). Re-read the whole file before overwriting it.\"}", "tool_call_id": "call_g0NGTYCC8LASe48mZWwDvISq", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_tjLLHrOOSgr6UnNWXEYlFRQL", "call_id": "call_tjLLHrOOSgr6UnNWXEYlFRQL", "response_item_id": "fc_06d034090aab91f3016a0ce8c3555881949d5bdab96b4f8438", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"old_string\":\" suspend fun syncAll(): String = withContext(Dispatchers.IO) {\\n try {\\n val granted = client.permissionController.getGrantedPermissions()\\n if (granted.isEmpty()) {\\n return@withContext \\\"ERROR: No Health Connect permissions granted. Open app and tap Grant Permissions.\\\"\\n }\\n\\n val now = Instant.now()\\n val zoneId = ZoneId.systemDefault()\\n val today = LocalDate.now(zoneId)\\n val startDate = today.minusDays(6)\\n val start = startDate.atStartOfDay(zoneId).toInstant()\\n val records = JSONArray()\",\"new_string\":\" suspend fun syncRecent(): String = syncSince(LocalDate.now(ZoneId.systemDefault()).minusDays(6), \\\"recent\\\")\\n\\n suspend fun syncYearToDate(): String = syncSince(LocalDate.of(2026, 1, 1), \\\"2026\\\")\\n\\n suspend fun syncAll(): String = syncRecent()\\n\\n private suspend fun syncSince(requestedStartDate: LocalDate, label: String): String = withContext(Dispatchers.IO) {\\n try {\\n val granted = client.permissionController.getGrantedPermissions()\\n if (granted.isEmpty()) {\\n return@withContext \\\"ERROR: No Health Connect permissions granted. Open app and tap Grant Permissions.\\\"\\n }\\n\\n val now = Instant.now()\\n val zoneId = ZoneId.systemDefault()\\n val today = LocalDate.now(zoneId)\\n val startDate = minOf(requestedStartDate, today)\\n val start = startDate.atStartOfDay(zoneId).toInstant()\\n val records = JSONArray()\",\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n+++ b//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n@@ -90,7 +90,13 @@\\n \\n private val client: HealthConnectClient by lazy { HealthConnectClient.getOrCreate(context) }\\n \\n- suspend fun syncAll(): String = withContext(Dispatchers.IO) {\\n+ suspend fun syncRecent(): String = syncSince(LocalDate.now(ZoneId.systemDefault()).minusDays(6), \\\"recent\\\")\\n+\\n+ suspend fun syncYearToDate(): String = syncSince(LocalDate.of(2026, 1, 1), \\\"2026\\\")\\n+\\n+ suspend fun syncAll(): String = syncRecent()\\n+\\n+ private suspend fun syncSince(requestedStartDate: LocalDate, label: String): String = withContext(Dispatchers.IO) {\\n try {\\n val granted = client.permissionController.getGrantedPermissions()\\n if (granted.isEmpty()) {\\n@@ -100,7 +106,7 @@\\n val now = Instant.now()\\n val zoneId = ZoneId.systemDefault()\\n val today = LocalDate.now(zoneId)\\n- val startDate = today.minusDays(6)\\n+ val startDate = minOf(requestedStartDate, today)\\n val start = startDate.atStartOfDay(zoneId).toInstant()\\n val records = JSONArray()\\n \\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"], \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .kt files\"}}", "tool_call_id": "call_tjLLHrOOSgr6UnNWXEYlFRQL", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_qo7uS2n62cFWZXcnx7MTBPIv", "call_id": "call_qo7uS2n62cFWZXcnx7MTBPIv", "response_item_id": "fc_06d034090aab91f3016a0ce8cdaea4819488989e96ff73541d", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" return@withContext \\\"OK [$label]: No new data from ${granted.size} granted permissions\\\"\",\"old_string\":\" return@withContext \\\"OK: No new data from ${granted.size} granted permissions\\\"\",\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n+++ b//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n@@ -119,7 +119,7 @@\\n addAll(records, readNutrition(start, now, granted))\\n \\n if (records.length() == 0) {\\n- return@withContext \\\"OK: No new data from ${granted.size} granted permissions\\\"\\n+ return@withContext \\\"OK [$label]: No new data from ${granted.size} granted permissions\\\"\\n }\\n \\n val body = JSONObject().apply {\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"], \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .kt files\"}}", "tool_call_id": "call_qo7uS2n62cFWZXcnx7MTBPIv", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_d5JsvfrAtG8SYVw8BH86TD5b", "call_id": "call_d5JsvfrAtG8SYVw8BH86TD5b", "response_item_id": "fc_06d034090aab91f3016a0ce8d2b938819483c65d12b98180bf", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" \\\"OK [$label]: Sent ${records.length()} records from $startDate to $today. $httpResult\\\"\",\"old_string\":\" \\\"OK: Sent ${records.length()} records. $httpResult\\\"\",\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n+++ b//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n@@ -129,7 +129,7 @@\\n }\\n val httpResult = postJson(SERVER_URL, body, AUTH_TOKEN)\\n if (!httpResult.startsWith(\\\"HTTP 2\\\")) return@withContext \\\"ERROR: Upload failed. $httpResult\\\"\\n- \\\"OK: Sent ${records.length()} records. $httpResult\\\"\\n+ \\\"OK [$label]: Sent ${records.length()} records from $startDate to $today. $httpResult\\\"\\n \\n } catch (e: Exception) {\\n Log.e(\\\"HealthBridge\\\", \\\"Sync failed\\\", e)\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"], \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .kt files\"}}", "tool_call_id": "call_d5JsvfrAtG8SYVw8BH86TD5b", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_pgYlSw71qAp2NhN60zZdiKfE", "call_id": "call_pgYlSw71qAp2NhN60zZdiKfE", "response_item_id": "fc_06d034090aab91f3016a0ce8d8cd1c8194b86a0335a51a6a96", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" val result = syncer.syncYearToDate()\",\"old_string\":\" val result = syncer.syncAll()\",\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/MainActivity.kt\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/MainActivity.kt\\n+++ b//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/MainActivity.kt\\n@@ -103,7 +103,7 @@\\n \\n lifecycleScope.launch(Dispatchers.IO) {\\n val syncer = HealthConnectSync(this@MainActivity)\\n- val result = syncer.syncAll()\\n+ val result = syncer.syncYearToDate()\\n withContext(Dispatchers.Main) {\\n statusText.text = result\\n syncButton.isEnabled = true\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/MainActivity.kt\"], \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .kt files\"}}", "tool_call_id": 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For more on this, please refer to https://docs.gradle.org/8.11.1/userguide/gradle_daemon.html#sec:disabling_the_daemon in the Gradle documentation.\\nDaemon will be stopped at the end of the build \\n> Task :app:preBuild UP-TO-DATE\\n> Task :app:preDebugBuild UP-TO-DATE\\n> Task :app:mergeDebugNativeDebugMetadata NO-SOURCE\\n> Task :app:checkKotlinGradlePluginConfigurationErrors SKIPPED\\n> Task :app:checkDebugAarMetadata UP-TO-DATE\\n> Task :app:generateDebugResValues UP-TO-DATE\\n> Task :app:mapDebugSourceSetPaths\\n> Task :app:generateDebugResources\\n> Task :app:packageDebugResources\\n> Task :app:createDebugCompatibleScreenManifests UP-TO-DATE\\n> Task :app:extractDeepLinksDebug UP-TO-DATE\\n> Task :app:mergeDebugResources\\n> Task :app:parseDebugLocalResources\\n> Task :app:processDebugMainManifest UP-TO-DATE\\n> Task :app:processDebugManifest UP-TO-DATE\\n> Task :app:processDebugManifestForPackage UP-TO-DATE\\n> Task :app:javaPreCompileDebug UP-TO-DATE\\n> Task :app:mergeDebugShaders UP-TO-DATE\\n> Task :app:compileDebugShaders NO-SOURCE\\n> Task :app:generateDebugAssets UP-TO-DATE\\n> Task :app:mergeDebugAssets UP-TO-DATE\\n> Task :app:compressDebugAssets UP-TO-DATE\\n> Task :app:desugarDebugFileDependencies UP-TO-DATE\\n> Task :app:checkDebugDuplicateClasses UP-TO-DATE\\nAAPT2 aapt2-8.9.1-12782657-linux Daemon #0: Unexpected error output: Error: Symbol nftw not found, cannot apply R_X86_64_JUMP_SLOT @0x1004fef20 (0x4e48c6) in /home/ubuntu/.gradle/caches/8.11.1/transforms/5ff7de95adb170690a4de476b7cddb1f/transformed/aapt2-8.9.1-12782657-linux/aapt2\\n> Task :app:mergeExtDexDebug UP-TO-DATE\\n> Task :app:mergeLibDexDebug UP-TO-DATE\\n> Task :app:mergeDebugJniLibFolders UP-TO-DATE\\n> Task :app:mergeDebugNativeLibs NO-SOURCE\\n> Task :app:stripDebugDebugSymbols NO-SOURCE\\n> Task :app:validateSigningDebug UP-TO-DATE\\n> Task :app:writeDebugAppMetadata UP-TO-DATE\\n> Task :app:writeDebugSigningConfigVersions UP-TO-DATE\\n> Task :app:processDebugResources\\n> Task :app:compileDebugKotlin\\n> Task :app:compileDebugJavaWithJavac NO-SOURCE\\n> Task :app:dexBuilderDebug\\n> Task :app:mergeDebugGlobalSynthetics UP-TO-DATE\\n> Task :app:processDebugJavaRes UP-TO-DATE\\n> Task :app:mergeDebugJavaResource UP-TO-DATE\\n> Task :app:mergeProjectDexDebug\\n> Task :app:packageDebug\\n> Task :app:createDebugApkListingFileRedirect UP-TO-DATE\\n> Task :app:assembleDebug\\n\\nBUILD SUCCESSFUL in 22s\\n33 actionable tasks: 10 executed, 23 up-to-date\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_P2q2TIjyWABbId2s56dAWBp6", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_Fp5MdstNy0F4TPo0yGy1ZsnT", "call_id": "call_Fp5MdstNy0F4TPo0yGy1ZsnT", "response_item_id": "fc_06d034090aab91f3016a0ce900ef9481949879434f017e8f55", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"cp app/build/outputs/apk/debug/app-debug.apk /home/ubuntu/health-bridge/static/health-bridge.apk && python3 - <<'PY'\\nimport os, hashlib\\np='/home/ubuntu/health-bridge/static/health-bridge.apk'\\nprint(os.path.getsize(p))\\nprint(hashlib.sha256(open(p,'rb').read()).hexdigest())\\nPY\",\"timeout\":180,\"workdir\":\"/home/ubuntu/health-bridge/android-app\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"18362319\\n37bb0b77601549d6d93de927eed1e3f0ca3c53895c1794c3e9e31405f0570fb6\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_Fp5MdstNy0F4TPo0yGy1ZsnT", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": "**Verifying database status**\n\nI’m thinking I need to check the database to see if it’s current. A good way to do that would be to use an SQLite query. I want to ensure the information is up-to-date before proceeding with any tasks. It's crucial to get this step right to avoid any misunderstandings. Let’s ensure everything is in order!", "finish_reason": "tool_calls", "reasoning_content": "**Verifying database status**\n\nI’m thinking I need to check the database to see if it’s current. A good way to do that would be to use an SQLite query. I want to ensure the information is up-to-date before proceeding with any tasks. It's crucial to get this step right to avoid any misunderstandings. Let’s ensure everything is in order!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDOkGyqJ0t-nDz1-gr5w4N7AQ5Ix1D1irOtsNn14orRwm6yai2J1Vu9xLfQNSeQADFaVaUkwH0gxsk5uZ3ijocgn5i5W2BibAel6htrzROLkEQq8VkfWG8KvrVk4GcybRx-Gf4C3d90gPood54GZyZv9q4RY1UkLUvojy0oQr75W6APVIJvcT5prrlMNv3cgy-AcuVT5msNYdCk-206r408eDcwT1RQxrIahNDXF3mgE9ZfFGPOqJUoI2541Xx41XcP0qY0q54tMvOAOJ6Xza8Ee7BUsKKkEOKwXKVz5ijqJNSQ--i1uD4jJxGrilJTZeCmVuJPbmN5Vdasgjz88_L44v42WGsI1vYNuQkm9xfQqSVfTYBvtFi8i8f-ddlKlcQb0imVnvvBDqO7pUP-2pQnhxqpRTO7y4YJLGB1TeUeCT-4HrMbJZRKycZjWNw0ZpJ_8G0ZYYl_NR_bUuZuSQElvvqTYeLHQgTCN5r2zUznoUGc-3H617aOjJvEpJiPjfXYxkiZD5n9KEpukrqao1416aCFftbbzABDz-uM1RYRsKlNNjkSx5-MlrY6jVwR2yC8NCGJuM4XDWFfD-NdzNSAq-5uKcGAjvjXlxoPreV86rNcfSQW7flNpPemG9lNYqOzipLOefyNLcn8vLqslMm_Yyqj_WAyh4uGGEb5_BoT--LrIExW3NBmAHn0PZrlyR0aHpZDBRuu84ezhDl12_anUvtWQB7PxXE9waH0qJ2OColrh7eZInl1aWbT_CB_4-i0ykQiR0oNm4ZzpvMXGibuQMizWnTM5hHURfIGeHI3aGbeBdIVUdQU-540iTEi1XgsQjp4nD4NHU5k2cwQbJ1_eyp7Vygcp0tzUqCxqJpEtgUPVPjDxOHXPx8J3D15FIS8o63RD8lZoU1FlnHSkCMw5akEmQcFH5SaJz3jN9OVJSn_xpGOH-jejIEu2E5TmcwHUnD4N7quMUQB7SCqRVjVCmTg==", "id": "rs_06d034090aab91f3016a0ce904840c8194a9060d27681a4153", "summary": [{"type": "summary_text", "text": "**Verifying database status**\n\nI’m thinking I need to check the database to see if it’s current. A good way to do that would be to use an SQLite query. I want to ensure the information is up-to-date before proceeding with any tasks. It's crucial to get this step right to avoid any misunderstandings. Let’s ensure everything is in order!"}]}], "tool_calls": [{"id": "call_qri9vSQhNXXvyTVnk62By4cA", "call_id": "call_qri9vSQhNXXvyTVnk62By4cA", "response_item_id": "fc_06d034090aab91f3016a0ce906410c81949e88a45d27418220", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python3 - <<'PY'\\nimport sqlite3\\ncon=sqlite3.connect('/home/ubuntu/health-bridge/health.db')\\nfor row in con.execute(\\\"select data_type, min(local_date), max(local_date), count(*) from health_records group by data_type order by data_type\\\"):\\n print(row)\\nPY\",\"timeout\":180}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"Traceback (most recent call last):\\n File \\\"\\\", line 3, in \\nsqlite3.OperationalError: no such table: health_records\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_qri9vSQhNXXvyTVnk62By4cA", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": "**Inspecting tables**\n\nI need to check the tables for something specific. There could be various aspects to examine, like structure, data integrity, and any potential issues. I'll take a moment to gather my thoughts on what exactly to look for. Should I check for consistency across entries? Maybe errors? This seems straightforward, but I want to be thorough. Let’s ensure I cover everything necessary for a complete inspection!", "finish_reason": "tool_calls", "reasoning_content": "**Inspecting tables**\n\nI need to check the tables for something specific. There could be various aspects to examine, like structure, data integrity, and any potential issues. I'll take a moment to gather my thoughts on what exactly to look for. Should I check for consistency across entries? Maybe errors? This seems straightforward, but I want to be thorough. Let’s ensure I cover everything necessary for a complete inspection!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDOkKKgRnWQ4d5AbSUbvr9o2v8gDnkiXhHlX-S23mwzL8Q4LXlmH7hTFIbPk7aa93HnqbtvOYvO2Zaqh0xCh6qCb3xXATJJRiG-hxPsJaru1nKd9czX88vPr-yUUJNSGSuFVWNrV_Kc16b-l-ocaFTf6VGyl3awvUZtPSi7zyLCziM7VzSuD86rQTvFnKgyuVbej-nofk5NBAdolLljAIEPiyjLsq1qyEkJTaOwIhAYU9fu90LKoe-VvGuaLNeYeN0UxHzHas_OzeQAX1bHsL_l9Bl_Re-B82ZaJKbzrJIyX8yQzgS42bRVT2UDK6SMeXbIU45ijkS5aNmcDwxyUILhWc_IkiW8gLzDJyvwkS6SYz3LBOGos1GX_iorlH3uNDcsStjPJg2x_3kHTKY0ZsjXKr6uRlS1jZC1oKbWNdZlRDHN-O5HtMUQlJUu58YUm4zx4T0KZXhuYsXy6gx77bi1lqRHib4tvVWyYIDr86MMqfbsmpvoNJscESdcHoH_j7Uf35XQvynTS8pMGFyz3NPrds8D5knso4JLRcwzs9W54PrtgoicqagogeyyqXKB3yQQbJHSxH9MKPAKH2xHQDcVByoizftR0_8QQSdOSQaBb5uZY3ejPrFVHlfvLoBooHp7yK3G04TvRXHA5nfs8kdN9uOLU7lQVQTlQruWaSn6L4fuuXoTIvjrWIpmmRLcXgC0TEZ34geKQbcij_uZykeUCe3pXNBq1MmqwTpOS96D4T8oJrG7TlrgPbcokslbpJbY4fllnMebKelhm9UiLIpF3LwtdsMgF7iUIhED-R6Ct_9Ik4IBdeHzviV7XPFhP1wRKfbTFwVELaCopP0I7W_1_s5x-0hZocDxaEszrWUNI97vkJucRjEvFGo4mGiPy25JhFBdXpQfKv--ZgVB9Mo-lmwa35L4vWk3Dv1wnIp0dZQk5yQKKl8HyZb9mYV6evaiAL", "id": "rs_06d034090aab91f3016a0ce908a9548194bad1609c3aac9612", "summary": [{"type": "summary_text", "text": "**Inspecting tables**\n\nI need to check the tables for something specific. There could be various aspects to examine, like structure, data integrity, and any potential issues. I'll take a moment to gather my thoughts on what exactly to look for. Should I check for consistency across entries? Maybe errors? This seems straightforward, but I want to be thorough. Let’s ensure I cover everything necessary for a complete inspection!"}]}], "tool_calls": [{"id": "call_nudd6pS6dRJdhyiX3Vz1ucXZ", "call_id": "call_nudd6pS6dRJdhyiX3Vz1ucXZ", "response_item_id": "fc_06d034090aab91f3016a0ce90a9ff4819498451ed2c007e34f", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python3 - <<'PY'\\nimport sqlite3\\ncon=sqlite3.connect('/home/ubuntu/health-bridge/health.db')\\nprint(list(con.execute(\\\"select name from sqlite_master where type='table'\\\")))\\nPY\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"[('raw_data',), ('sqlite_sequence',), ('daily_summary',)]\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_nudd6pS6dRJdhyiX3Vz1ucXZ", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_F5XMjJUyuh2jUVoNmBpnqJUi", "call_id": "call_F5XMjJUyuh2jUVoNmBpnqJUi", "response_item_id": "fc_06d034090aab91f3016a0ce90d0fe88194b8439fbd2f470380", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python3 - <<'PY'\\nimport sqlite3\\ncon=sqlite3.connect('/home/ubuntu/health-bridge/health.db')\\nfor t in ['raw_data','daily_summary']:\\n print('\\\\n',t)\\n print(list(con.execute(f'pragma table_info({t})')))\\nPY\",\"timeout\":180}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"raw_data\\n[(0, 'id', 'INTEGER', 0, None, 1), (1, 'received_at', 'TEXT', 1, \\\"datetime('now')\\\", 0), (2, 'data_type', 'TEXT', 1, None, 0), (3, 'data_json', 'TEXT', 1, None, 0), (4, 'record_key', 'TEXT', 0, None, 0), (5, 'local_date', 'TEXT', 0, None, 0), (6, 'source', 'TEXT', 0, None, 0), (7, 'subject', 'TEXT', 1, \\\"'chicho'\\\", 0)]\\n\\n daily_summary\\n[(0, 'subject', 'TEXT', 1, \\\"'chicho'\\\", 1), (1, 'date', 'TEXT', 1, None, 2), (2, 'steps', 'INTEGER', 0, '0', 0), (3, 'distance_m', 'REAL', 0, '0', 0), (4, 'floors', 'REAL', 0, '0', 0), (5, 'active_minutes', 'INTEGER', 0, '0', 0), (6, 'exercise_minutes', 'INTEGER', 0, '0', 0), (7, 'calories', 'REAL', 0, '0', 0), (8, 'active_kcal', 'REAL', 0, '0', 0), (9, 'total_kcal', 'REAL', 0, '0', 0), (10, 'nutrition_kcal', 'REAL', 0, '0', 0), (11, 'heart_rate_avg', 'REAL', 0, None, 0), (12, 'heart_rate_min', 'REAL', 0, None, 0), (13, 'heart_rate_max', 'REAL', 0, None, 0), (14, 'sleep_minutes', 'INTEGER', 0, '0', 0), (15, 'workouts', 'INTEGER', 0, '0', 0), (16, 'weight_kg', 'REAL', 0, None, 0), (17, 'body_fat_percentage', 'REAL', 0, None, 0), (18, 'height_m', 'REAL', 0, None, 0), (19, 'protein_g', 'REAL', 0, '0', 0), (20, 'carbs_g', 'REAL', 0, '0', 0), (21, 'fat_g', 'REAL', 0, '0', 0), (22, 'hydration_ml', 'REAL', 0, '0', 0), (23, 'updated_at', 'TEXT', 1, \\\"datetime('now')\\\", 0), (24, 'workout_minutes', 'INTEGER', 0, '0', 0), (25, 'auto_activity_minutes', 'INTEGER', 0, '0', 0), (26, 'workout_count', 'INTEGER', 0, '0', 0), (27, 'auto_activity_count', 'INTEGER', 0, '0', 0)]\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_F5XMjJUyuh2jUVoNmBpnqJUi", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_sVOs7OSba0SaLdc5Mg49cSkX", "call_id": "call_sVOs7OSba0SaLdc5Mg49cSkX", "response_item_id": "fc_06d034090aab91f3016a0ce910ade48194af52db7e6824d6d0", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python3 - <<'PY'\\nimport sqlite3\\ncon=sqlite3.connect('/home/ubuntu/health-bridge/health.db')\\nprint('daily_summary', con.execute('select min(date), max(date), count(*) from daily_summary where subject=?',('chicho',)).fetchone())\\nfor row in con.execute('select data_type, min(local_date), max(local_date), count(*) from raw_data where subject=? group by data_type order by data_type',('chicho',)):\\n print(row)\\nPY\",\"timeout\":180}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"daily_summary ('2026-05-11', '2026-05-19', 9)\\n('aggregated', '2026-05-11', '2026-05-11', 1)\\n('daily_aggregate', '2026-05-13', '2026-05-19', 7)\\n('exercise', '2026-05-11', '2026-05-19', 44)\\n('heart_rate', None, None, 2)\\n('steps', '2026-05-17', '2026-05-17', 1)\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_sVOs7OSba0SaLdc5Mg49cSkX", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": "**Checking device installation options**\n\nI’m thinking about how I might need to install something via ADB. It seems like a good idea to check which devices are connected first. It’s funny how I have to consider these steps; technology can be a bit of a puzzle sometimes! I want to make sure I’m following the right procedure to avoid any hiccups. Let me look into the devices before proceeding with the installation.", "finish_reason": "tool_calls", "reasoning_content": "**Checking device installation options**\n\nI’m thinking about how I might need to install something via ADB. It seems like a good idea to check which devices are connected first. It’s funny how I have to consider these steps; technology can be a bit of a puzzle sometimes! I want to make sure I’m following the right procedure to avoid any hiccups. Let me look into the devices before proceeding with the installation.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDOkXj_CKRq3mneZUJZFtUKuY2g5bZ8dATkqAqpzgOu8vun275c1Y-tFUar3sjjgx04Iz9Dsp2rGRvOWOWSOyUSPYGMQnfVC4yMrs2_o-zIyO6t0h2UFUc_MdIwWPmrnTi-bRg3LlO1HPTcPmpdjJWW1dL3tuUnz3c90fPLhvHO49chSqVrDIGgDvgB8icVyVXgQ9udvWObaduACEyyzS1TlceBsjd-qp4W9GWPDjhaGtplE7Mea7rxO2XH20g3EiEuGbTx82v-NXbaa1ZKn8FcDLuITT0vrQmkjLCzIJANx5oy8RCtQDY3C_q2LQwn8fPJRY9iRlK0V8LUbrjvbQiMFmQyttiUOm_OITLu56pXYpVnPW9Ty9DMewo4o3cNAKohk3YnvZ0CkCk1owYGvhbEzMrzr71B1_OiIQZZumcBUFwP7wkddnIuIgupSixbGKU4A32EeDHhYf4hQNJ84hCJtwNehuJ-zy6PJw5rOE4aaN4Exkdo7iXKHqMLRWoBRE4fs60VjMJevowr9qz5y_-Rd_ir7OqDTYFOngoZWyn3mnsSeDmuaRZ6e0q-Rqu6PwTIGU8EGOUdpzeXaUKRNEipWKTP94m4ZtgE_BlDlRZBrxtXedzmV4D_nPbpAiu2fyvWKFo5X9YrX_fSg6MNwAu5HKiv9nrJXVmtnoz0y_Q8ipGw9ZOousfYpESLs3fzCwsMN6eJBfxlfmfIpPIvtaNWmZjC70QoboyNs1eh8_2XXObFGwbLz2XH_NEvgbSMxofrpPUmd3Nfrg3ZiQNNmlr9FdBj-ZTtbrhq3HDtgP7KTMShZZVWZmRaBE6mvM-PqLOCN57ayx-sO3Jx_BPAFldMKfraCdcNs--h2DDpylXiA1iCHD8Mm6vLRxbIwCbG-hfqzACcTOmDl_AwY_er8aan-4HvcxZyB7tmoaZ2JQj47fMMWU1Ywe3UAlM7-YfQhfvXzKCZbpfTB9F5IM92FM1_hyZg==", "id": "rs_06d034090aab91f3016a0ce9154ca881949b9920ae83b7b03c", "summary": [{"type": "summary_text", "text": "**Checking device installation options**\n\nI’m thinking about how I might need to install something via ADB. It seems like a good idea to check which devices are connected first. It’s funny how I have to consider these steps; technology can be a bit of a puzzle sometimes! I want to make sure I’m following the right procedure to avoid any hiccups. Let me look into the devices before proceeding with the installation."}]}], "tool_calls": [{"id": "call_8KnnVe9UcvsHQBBt4KZF0lE2", "call_id": "call_8KnnVe9UcvsHQBBt4KZF0lE2", "response_item_id": "fc_06d034090aab91f3016a0ce91724588194b391cf15c2bbf84b", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"adb devices\",\"timeout\":60}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"List of devices attached\\n100.111.239.9:46079\\tdevice\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_8KnnVe9UcvsHQBBt4KZF0lE2", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_WdnfObLAb6hwAHBBcxxaHkGQ", "call_id": "call_WdnfObLAb6hwAHBBcxxaHkGQ", "response_item_id": "fc_06d034090aab91f3016a0ce91947a8819495f7e42f46f6f4ef", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"adb -s 100.111.239.9:46079 install -r /home/ubuntu/health-bridge/static/health-bridge.apk\",\"timeout\":180}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"Performing Streamed Install\\nSuccess\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_WdnfObLAb6hwAHBBcxxaHkGQ", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": "**Considering app triggers**\n\nI’m thinking about how to trigger the app effectively. It seems like I might need to ensure it's in the foreground for the import to work. I could try using “am start.” Maybe a direct click would also work? But I think the user needs to tap, which makes it tricky. If the phone is unlocked, maybe I could use adb to tap a button. Let’s start the app and see how it goes!", "finish_reason": "tool_calls", "reasoning_content": "**Considering app triggers**\n\nI’m thinking about how to trigger the app effectively. It seems like I might need to ensure it's in the foreground for the import to work. I could try using “am start.” Maybe a direct click would also work? But I think the user needs to tap, which makes it tricky. If the phone is unlocked, maybe I could use adb to tap a button. Let’s start the app and see how it goes!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDOknXwK8QHPiE1cxey2jT5soDYNaHelF0szxfTk-WA7SP_rLwQRehAeSAmDcVHkZJhIPBzVCazgLHmZsdEehbS3Vmj_5-36fsZyRGgek0t62YJ2E-AIxrdBEXHRZfpMbQNsx65QZ2U2WzOzUWRQMeVqFl4lEzaQE6cyhR14hFu5rycwHew-hznUMw_tHD_UFb_6zsuQnmdZD0sO8yDPcx2ruXjrJ8Puu4_ocSl7BHAp3phZtDJ8stKRisw3pvnGpZVLYH4FbNHl0aNkD1xxXYWiNBsjAhIya42uPXF7mILjiZtITxDnpb5z-lPDgEXWU8ENdtPcdQCzybtR5BY-PFtondrx_KGSq2g9B-OE4NPm5xHjOgxB2pZN7zJm7LCkzcIjSNI8eks-ngqnowvFGhKpee2YJiQ46aIsbk6kj9hm56-swRyFSzSC9PRUCCivwN8IX6RVXVkbWLsD0T7Ksm8xd2aGB0OzR8NafWqXr1SNhUqN4X6LtwvcKMUJ-Y2NWKIZH3GWOVZoQ8TsJqLIMW6AQDcJcUa41cnpzfoWVy6QjMTEUME2VLs4z3juv5blxRFMwsy9OEDfJJoF5vqKBmJCFlIoDJbR3AZ4vIpA4uL9EfCB_ntkEQme1Kv2yu6-fGaDWlfD-n9uYC0uECBhALEH9E7QndaW1zbrXXjsR6eJYZ1wm2IGZStnFmrv9fw1p6AYFVrSBZ2S7C7uBxa7KQSCTsVLf8rqjo3SJXbgi95iNw4vZEdJmVDupdhdg_h9KCtdfrbbiTjcG0-ayaZZ2aTK0QvKmwRZjTqrwXM5SKfxV4Im2jwQNcUI3MZzQzIdNjBlzLYdkooY9tDcC2JPr8hv8r0YOMZhCBIn0duqjc1M2_zEjtVJXPIxVKnfvYaM1am7HS4x2pss34aYgmnayj7xccOQJyrCoFFzL33GO9m7vPdIGLvuGZRdAN0I-Gpu550J3SXEs-qFfHa2IWsRjeMQxvRm7NU-AViCIvTS7eXtnsgCiN32XhklXGPB_R54OnhPWEWBIy4lh7jxkB4RpXJY3SH8zyUjF-HMYlprdhi4-sK3tmYprC1hFdnbKOs8MSacDa2Jz-lTN5KCj4AUHH6txOgyHUalgG5af6j19ahIEgAjCLBRYDIMy4vCYQ9IDPmAVt9XehDlzl4DUQRQ-_VM8qg==", "id": "rs_06d034090aab91f3016a0ce92476848194b40b7ee6e8ec2b21", "summary": [{"type": "summary_text", "text": "**Considering app triggers**\n\nI’m thinking about how to trigger the app effectively. It seems like I might need to ensure it's in the foreground for the import to work. I could try using “am start.” Maybe a direct click would also work? But I think the user needs to tap, which makes it tricky. If the phone is unlocked, maybe I could use adb to tap a button. Let’s start the app and see how it goes!"}]}], "tool_calls": [{"id": "call_MkpkX5imvBDAvJtgmrzRAsoN", "call_id": "call_MkpkX5imvBDAvJtgmrzRAsoN", "response_item_id": "fc_06d034090aab91f3016a0ce927394481949e26a9f3957ff144", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"adb -s 100.111.239.9:46079 shell monkey -p com.healthbridge.app 1\",\"timeout\":60}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"bash arg: -p\\n bash arg: com.healthbridge.app\\n bash arg: 1\\nargs: [-p, com.healthbridge.app, 1]\\n arg: \\\"-p\\\"\\n arg: \\\"com.healthbridge.app\\\"\\n arg: \\\"1\\\"\\ndata=\\\"com.healthbridge.app\\\"\\nEvents injected: 1\\n## Network stats: elapsed time=24ms (0ms mobile, 0ms wifi, 24ms not connected)\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_MkpkX5imvBDAvJtgmrzRAsoN", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": "**Exploring automation options**\n\nI'm thinking about using uiautomator to possibly automate a task. First, I might need to check if I can click on an import option. Then I should look at the screen dump to see what elements are available for interaction. I want to ensure I understand the layout and available options before proceeding further. It feels important to get this initial step right!", "finish_reason": "tool_calls", "reasoning_content": "**Exploring automation options**\n\nI'm thinking about using uiautomator to possibly automate a task. First, I might need to check if I can click on an import option. Then I should look at the screen dump to see what elements are available for interaction. I want to ensure I understand the layout and available options before proceeding further. 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First, I might need to check if I can click on an import option. Then I should look at the screen dump to see what elements are available for interaction. I want to ensure I understand the layout and available options before proceeding further. 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Downloaded content will be executed without inspection.) and was approved by the user.\"}", "tool_call_id": "call_br7yflXNUQRtK2w3RkPDYgcy", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDOm150GpwB2nOkh3LCHUEIieuDzp96qwLf_WhFBjF3m3NgSl8LYRZW5WZEGh9HHLG7JZezOWJNd30lQ_PVNd6k6q1Q2IfGrtGkavpcD4_Nagf1qp8zpXoxeKRQp6EJ0D9od115StXNz1Ff0yDFJoBoHPoLH6tdbf0lrUJUy5RBVd99ID0iA82WgHOs0DSwF-ZoeuLmeuqjdxnV0cTdUwaeRHQ4m7odWi6saX4HaBdPvyD-fu8Aspe9baC7Nmmw1Xh8MN4l9Z1viCshHLrXyL02mldVJ3lGYLu3OdccTk0CiOteFOhq5lDsqRXYirWTf4tbw2pt0cGDVD-E0v9L4dIIPtJe4dbnn_dykyJnQGTtFWfu0jEkP4dyX0Ks_4FEtZUxiZhAtOIthrR3Xj6NdfmdkvLBu9kJS-sNGfdILlU3FOniOeL2hcpBAaNhGa-5bw7A9Z6e2F_rya5q2t3dudNkfGXg23QTylRm5671VOvkMU8nALjCjUnVAynZYNefb7FuprixGcSrph9HR5vfCTMYCI0hewbhARp5ZM4QUgIQK_nuglJpUO0was9o5wyKDc_yxxqWJOtu7VHfj9xtm5ci26y8qio1t2fijh9v-qs1UMisHwfkijSo29HpGwiTbJ6URuUNH3JKibpwooTWxe0ueh9APtu2IUwp9AGWPv2cMvNBiR8Dxjo9PLu5o6CEPr-q5Ji_2BYIj_-zLXUL09PS92RZA8Rn0hTv1lw6x6kI8Qf8zmxhc99bwz48mZfSB2qHAWJ631pntNdopyfcwOKWTmx-2h2HbvoyJgJ2xgWdNkZc_jaKYBq_iWfpnTRpRHTHYunJizBFtm1-d0GcSWu4zXwxS6QDwNoEqy8tZVJ235H8Py3qKGC7mcTNqQrWCgwWcUeghOBgKKb0d_BOj2MR3b7oFxwU_gf5OlYpOfjRGZzL5DQSXehHufgydBbmhTA-v3NRVwTCRV3JA5T0tmm9dTPuYRmhWwvL48b9Bf81Lg9f4=", "id": "rs_06d034090aab91f3016a0ce9b458dc81948946a0923b18957e", "summary": []}], "tool_calls": [{"id": "call_CaYYLy5rbo7I7PmcmOLgObYf", "call_id": "call_CaYYLy5rbo7I7PmcmOLgObYf", "response_item_id": "fc_06d034090aab91f3016a0ce9b519cc81948d8455e4bf00697d", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"adb -s 100.111.239.9:46079 shell uiautomator dump /sdcard/window.xml >/dev/null && adb -s 100.111.239.9:46079 shell cat /sdcard/window.xml | tr '>' '>\\\\n' | head -40\",\"timeout\":60}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_CaYYLy5rbo7I7PmcmOLgObYf", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "user", "content": "[System note: Your previous turn was interrupted before you could process the last tool result(s). The conversation history contains tool outputs you haven't responded to yet. Please finish processing those results and summarize what was accomplished, then address the user's new message below.]\n\n[nachlakes] parece haber ingresado satisfactoriamente, buenisimo. podes importar 2025 tambien? bah, podrias importar toda la data historica de mi cuenta al respecto no? digo asi tenes todo todo.... y el health bridge app va a sync every 24hs de ahora en mas?", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDOnIfA-h2qo7-moZ8GVy52nN-sUDlaufup6bcnXBaCFuFh3dupDOvOIh8Zlz2QRlXrToKtuFIlDMo_iQtiIjDHussh8e09dsLElCLrv62na7CD2Ml86qvtLygyqC_X7A59DrhdTipzNL-NH2-JvASuj4qI5USpAYE5Sjp4a6rw8s3Ix_PR4_EzKvsqjCeR1Cckm3m--5sqkgMq0-jRYkdMp7mHUe6RS9Brq6gGMq7KXuWqZJp7j8szVdlLjWYlY9izpTQlr9iXcjJ3oqIiJhFrXgMsLD9Am88PA4Eb7Mr6yPkoJ6viIWy28iuXnHFnPIFS5RRlEqyuLlhN3YUqo1k1Ts_lZFZiRQr1bzuCeJFbr2htJDGLU4FbLT4JSUKXXmrf4d5pgJWKALAmshpbxqZc3rPZ80m4OlpZOFHHlALzA3hMOOBVGc-ocYCJdkf_fAyx52HfPXCXxBDy5aGZIaRIAndIVJ7gCeoR2xRoCDWszNpvjnYMsxhDnqrnOidy1yRXdLM1i3Yuz6DqPBhLOPYh6-94bW1IVMQ6R74WeouQOv9IzF8laHV9PB635TFamk8ikh3BAXAbpLQFFTHWUVayKpvVVUtmi1EzX3GrE7m-wvqB9OoM8jDtnXPyiQ0EYtbePMNH0pe7QOmLAcB_3Zpykonp0tLN1aLtStKtarODrKP3v5IqMt_JOm-XqTinpQzy5aOhHi_3zj23-Nd224nZKNYqtoprNFndvXqWT7yyoGaU6SWPVW41IKkFbzRpl4eKmVaIFTXapn41RQTAV1YwJDjzUhlpDwM0caREmNHTKKKqdHovi2N6iyuJmgKZjZbzgRPy_WVIo2PG04JFQr_QRiCs44Rm0b7eju2i6vgiGWvEZxdhOoPGSWaB9xvnavuPRdOM505gwA0CNzKmLzvrJHNAxpFhYNQT37ZussbaIIkrm_BiL_OkVRTEhF5hZbWnYB-OdHttnsfaWzXAIZ5q645R7V-Jcnl8qlTI6ilQ1HMtQiYRcLLBmXyLrlLsxcPPpwkCqlqMRRWlikV7VAqXQsDIMTMt6xf7nKiFiani2TUSyceymhcsd_zcFl7TXe4zEeUFAL5DWhd6GTlydx2uDdesSi35SwPfYDQDapdaYEddo_Bmgfoz6LqoKhQNjmQRbnCD_a86tSYPO1qSdTaOY2GomRpvUf3QbHCw2hAakRBZgfx3VOfnWr7gWExH1JZd84E4oDGgLLuwV9ETL7rHyxoFKkAf_3-N1WfOB-_K3pDhHWGoshHTna9oF_d1kQbtCxpL3BQ-dHUj9r9ZYPUYPvL2CXuLgVV2SvCjBKWujLtnektPPDqu4QDuICcq_IGGD2kapHaITVit4OScq4gTwUihLxuV3vq9irn-JrIJB-HBp7pY3cMA4ZlMCtH9oULaVapVuY9pQIXUfgGlFdEnW6hWqywcHpabvSD18O-iFFlCSqaTPeINwJTjW_2PEHiEjYoTsi3lW4sATaIRK3RXy6ltEEJn1Iy-LGFZk-WJtcknTrJ0uNWWLNPmenqa5UNZFlb1PC-sn-TZIthB7nNKzYQGOzwkzKY9vOt6sjv2rmAXdwqQkCdatmOwmUTyjXCtvg3apKr0TS0jS7yr3ykQs0b-Rfpp3QxWWtAmbPXeJr2Fkh3Z-a_TE4XyorgO8Cn-rD4dajofTo1_w5qJRFXG_vyRzpZ9caK_2HfBVkKO-4dblcYBbqINGg4I9etaZRHwxlmS7dNwlKHTffREfNyklBERgTMeBV-_nnVOxVpnqtwVEUJ74KcWexH0EUo8hVK9QK-KPEpgbKOfyBXUdJaGX3uF3gGB2syY87YqGBGRx3GTrwEV4dC1ahLUNd3rdWl_OD", "id": "rs_06d034090aab91f3016a0ce9c56fac81949f353e42bd5a9792", "summary": []}], "tool_calls": [{"id": "call_LeOrK3S9DUnOjT3pCr03BboA", "call_id": "call_LeOrK3S9DUnOjT3pCr03BboA", "response_item_id": "fc_06d034090aab91f3016a0ce9c8afa881948ead15f374da0ef8", "type": "function", "function": {"name": "skill_view", "arguments": "{\"name\":\"health-bridge\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"health-bridge\", \"description\": \"Manage the Health Bridge system — Android app that syncs Health Connect data to the Oracle server. Use when maintaining, rebuilding, deploying, or troubleshooting the health sync pipeline.\", \"tags\": [], \"related_skills\": [], \"content\": \"---\\nname: health-bridge\\ndescription: Manage the Health Bridge system — Android app that syncs Health Connect data to the Oracle server. Use when maintaining, rebuilding, deploying, or troubleshooting the health sync pipeline.\\ncategory: fitness\\n---\\n\\n# Health Bridge\\n\\nAndroid app (Kotlin) + Python server (FastAPI/SQLite) that pulls all Health Connect data from Chicho's Pixel 9a and stores it on the Oracle VPS for Pipo to query.\\n\\n## Architecture\\n\\n```\\nPixel 9a (Health Bridge app)\\n │ WorkManager every 60 min\\n │ or manual \\\"Sync Now\\\" button\\n ▼\\nPOST http://100.87.116.90:3007/ingest (Tailscale mesh)\\n │ Bearer token auth\\n ▼\\nOracle VPS (systemd: health-bridge)\\n │ FastAPI + SQLite (~/health-bridge/health.db)\\n ▼\\nPipo queries: /summary, /data\\n```\\n\\n## Server (Oracle VPS)\\n\\n**Service:** `systemd health-bridge` \\n**Port:** 3007 (HTTP, Tailscale-only) \\n**Code:** `~/health-bridge/server.py` \\n**DB:** `~/health-bridge/health.db` \\n**Token:** `XXMYWq-ft146fRL0AlNV_5P9Vg4NNJJa4pHxqDvzRkg`\\n\\n### Endpoints\\n\\n| Method | Path | Auth | Purpose |\\n|--------|------|------|---------|\\n| GET | `/health` | none | Ping |\\n| GET | `/` | none | Status |\\n| POST | `/ingest` | Bearer | Receive Health Connect data |\\n| GET | `/summary?days=7` | Bearer | Daily aggregated summary |\\n| GET | `/data?data_type=steps&limit=100` | Bearer | Raw records |\\n| GET | `/debug/day?date=YYYY-MM-DD&subject=chicho` | Bearer | Audit one day's classified inputs, fingerprints, and final summary |\\n| GET | `/download` | none | Download latest APK |\\n\\nFor aggregation provenance/dedupe rules, see `references/provenance-dedupe-model.md`.\\n\\n### Management\\n\\n```bash\\nsudo systemctl status health-bridge\\nsudo systemctl restart health-bridge\\nsudo journalctl -u health-bridge -f\\n\\n# Test ingest\\ncurl -s -X POST http://100.87.116.90:3007/ingest \\\\\\n -H \\\"Authorization: Bearer XXMYWq-ft146fRL0AlNV_5P9Vg4NNJJa4pHxqDvzRkg\\\" \\\\\\n -H \\\"Content-Type: application/json\\\" \\\\\\n -d '{\\\"records\\\":[{\\\"type\\\":\\\"steps\\\",\\\"count\\\":5000}]}'\\n\\n# Query summary\\ncurl -s http://100.87.116.90:3007/summary?days=3 \\\\\\n -H \\\"Authorization: Bearer XXMYWq-ft146fRL0AlNV_5P9Vg4NNJJa4pHxqDvzRkg\\\"\\n```\\n\\n## Android App\\n\\n**Package:** `com.healthbridge.app` \\n**Source:** `~/health-bridge/android-app/` \\n**APK:** `~/health-bridge/static/health-bridge.apk` (served at `/download`)\\n\\n### Data Types Synced (22 total)\\n\\nAggregated: steps, distance, floors, active kcal, total kcal \\nHeart: heart rate samples, resting HR, HRV \\nVitals: blood pressure, blood glucose, O₂ saturation, body temperature, respiratory rate \\nBody: weight, body fat, height \\nSleep: sessions \\nExercise: sessions \\nNutrition: meals, hydration \\nMetabolic: BMR\\n\\n### Build & Deploy\\n\\n**Prerequisites on Oracle ARM64:**\\n- Java 17 (`openjdk-17-jdk-headless`)\\n- Android SDK at `/opt/android-sdk` (cmdline-tools, platform 36, build-tools 34.0.0)\\n- `box64` for x86_64 AAPT2 emulation\\n- Gradle 8.11.1+ (wrapper in project)\\n\\n```bash\\ncd ~/health-bridge/android-app\\n./gradlew assembleDebug --no-daemon\\n\\n# Copy to static\\ncp app/build/outputs/apk/debug/app-debug.apk ~/health-bridge/static/health-bridge.apk\\n\\n# Install on Pixel 9a (ADB must be connected)\\nadb -s 100.111.239.9: install -r ~/health-bridge/static/health-bridge.apk\\n```\\n\\n## ADB Connection to Pixel\\n\\nSee `pixel-6a` skill for full ADB flow. Pixel 9a IP: `100.111.239.9` (varies).\\n\\nQuick reconnect:\\n```bash\\n# Pair first (needs fresh code from phone)\\nadb pair 100.111.239.9: \\n\\n# Connect (different port!)\\nadb connect 100.111.239.9:\\nadb devices # confirm \\\"device\\\" status\\n```\\n\\n## Health Connect Intent\\n\\nThe app opens Health Connect settings via:\\n```kotlin\\nIntent(Intent.ACTION_MAIN).apply {\\n setClassName(\\n \\\"com.google.android.healthconnect.controller\\\",\\n \\\"com.android.healthconnect.controller.navigation.TrampolineActivity\\\"\\n )\\n flags = Intent.FLAG_ACTIVITY_NEW_TASK\\n}\\n```\\n\\nFallback: `ConnectAppsOnboardingActivity`\\n\\n## Pitfalls\\n\\n- **Health Connect API 1.1.0** changed types significantly: Energy/Length/Mass values need `.inKilocalories`/`.inMeters`/etc., not raw numbers. `SleepSessionRecord.stage` → removed. `NutritionRecord.time` → `startTime`. `BloodPressureRecord.bodyPosition` is non-nullable.\\n- **compileSdk 36 required** for `health.connect:connect-client:1.1.0`\\n- **Box64 needed** on ARM64 — Android SDK build-tools ship x86_64 AAPT2 binaries\\n- **Permissions:** User must grant ALL types in Health Connect manually. The app opens the HC settings screen; it cannot auto-grant.\\n- **HTTP only** (Tailscale mesh encrypts). `usesCleartextTraffic=true` in manifest.\\n- **Daily aggregate sanity:** Android should compute `today` aggregates from local start-of-day → now, not from the sync lookback window. Backend daily summaries should be idempotent overwrites/upserts, not additive sums of repeated manual/hourly syncs. After rebuilding/installing, ask Chicho to open Health Bridge and tap Sync Now, then compare `/summary?days=1` against Google Fit/Fitbit today values.\\n- **Mixed-source provenance:** Do not collapse explicit workouts, automatic movement, nutrition intake, and burned energy into ambiguous totals. Keep `workout_minutes`, `auto_activity_minutes`, `exercise_minutes = workout + auto`, and `nutrition_kcal` separate. Use canonical fingerprints for dedupe and `/debug/day` to audit final numbers. See `references/provenance-dedupe-model.md`.\\n- **SQLite migration safety:** Use explicit column lists in endpoints and rebuild scripts; avoid `SELECT *` because additive columns can break tuple unpacking or clients after schema changes.\\n\", \"path\": \"fitness/health-bridge/SKILL.md\", \"skill_dir\": \"/home/ubuntu/.hermes/skills/fitness/health-bridge\", \"linked_files\": {\"references\": [\"references/provenance-dedupe-model.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\"}", "tool_call_id": "call_LeOrK3S9DUnOjT3pCr03BboA", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_OBPDvZ0FOGKlAFszWLDBuAwP", "call_id": "call_OBPDvZ0FOGKlAFszWLDBuAwP", "response_item_id": "fc_06d034090aab91f3016a0ce9cb0da08194888afc1eb4973162", "type": "function", "function": {"name": "todo", "arguments": "{\"todos\":[{\"id\":\"verify2026\",\"content\":\"Verificar import 2026 y estado actual de DB\",\"status\":\"in_progress\"},{\"id\":\"historical\",\"content\":\"Cambiar app para importar histórico completo, no solo 2026\",\"status\":\"pending\"},{\"id\":\"deploy\",\"content\":\"Build/install APK histórico y ejecutar import\",\"status\":\"pending\"},{\"id\":\"verifyhist\",\"content\":\"Verificar rango histórico importado y confirmar sync diario\",\"status\":\"pending\"}]}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"verify2026\", \"content\": \"Verificar import 2026 y estado actual de DB\", \"status\": \"in_progress\"}, {\"id\": \"historical\", \"content\": \"Cambiar app para importar histórico completo, no solo 2026\", \"status\": \"pending\"}, {\"id\": \"deploy\", \"content\": \"Build/install APK histórico y ejecutar import\", \"status\": \"pending\"}, {\"id\": \"verifyhist\", \"content\": \"Verificar rango histórico importado y confirmar sync diario\", \"status\": \"pending\"}], \"summary\": {\"total\": 4, \"pending\": 3, \"in_progress\": 1, \"completed\": 0, \"cancelled\": 0}}", "tool_call_id": "call_OBPDvZ0FOGKlAFszWLDBuAwP", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_VQmsQIH0KH1jXM5yoLaaJPO0", "call_id": "call_VQmsQIH0KH1jXM5yoLaaJPO0", "response_item_id": "fc_06d034090aab91f3016a0ce9ce8c84819489e71a2394c40a62", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python3 - <<'PY'\\nimport sqlite3\\ncon=sqlite3.connect('/home/ubuntu/health-bridge/health.db')\\nprint('daily_summary', con.execute('select min(date), max(date), count(*) from daily_summary where subject=?',('chicho',)).fetchone())\\nfor row in con.execute('select data_type, min(local_date), max(local_date), count(*) from raw_data where subject=? group by data_type order by data_type',('chicho',)):\\n print(row)\\nPY\",\"timeout\":180}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"daily_summary ('2026-01-01', '2026-05-19', 139)\\n('aggregated', '2026-05-11', '2026-05-11', 1)\\n('daily_aggregate', '2026-01-01', '2026-05-19', 139)\\n('exercise', '2026-05-04', '2026-05-19', 85)\\n('heart_rate', None, None, 2)\\n('steps', '2026-05-17', '2026-05-17', 1)\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_VQmsQIH0KH1jXM5yoLaaJPO0", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_OMqKVUAprk9dteWExw1OKx9O", "call_id": "call_OMqKVUAprk9dteWExw1OKx9O", "response_item_id": "fc_06d034090aab91f3016a0ce9d3171481948ff94cbd29a82183", "type": "function", "function": {"name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Verificar import 2026 y estado actual de DB\",\"id\":\"verify2026\",\"status\":\"completed\"},{\"content\":\"Cambiar app para importar histórico completo, no solo 2026\",\"id\":\"historical\",\"status\":\"in_progress\"}]}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"verify2026\", \"content\": \"Verificar import 2026 y estado actual de DB\", \"status\": \"completed\"}, {\"id\": \"historical\", \"content\": \"Cambiar app para importar histórico completo, no solo 2026\", \"status\": \"in_progress\"}, {\"id\": \"deploy\", \"content\": \"Build/install APK histórico y ejecutar import\", \"status\": \"pending\"}, {\"id\": \"verifyhist\", \"content\": \"Verificar rango histórico importado y confirmar sync diario\", \"status\": \"pending\"}], \"summary\": {\"total\": 4, \"pending\": 2, \"in_progress\": 1, \"completed\": 1, \"cancelled\": 0}}", "tool_call_id": "call_OMqKVUAprk9dteWExw1OKx9O", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_PI1i8zUr3auhh2JNepJVEOtY", "call_id": "call_PI1i8zUr3auhh2JNepJVEOtY", "response_item_id": "fc_06d034090aab91f3016a0ce9d626488194987e5692c850f762", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\",\"old_string\":\" suspend fun syncYearToDate(): String = syncSince(LocalDate.of(2026, 1, 1), \\\"2026\\\")\\n\\n suspend fun syncAll(): String = syncRecent()\",\"new_string\":\" suspend fun syncYearToDate(): String = syncSince(LocalDate.of(2026, 1, 1), \\\"2026\\\")\\n\\n suspend fun syncHistorical(): String = syncSince(LocalDate.of(2015, 1, 1), \\\"historical\\\")\\n\\n suspend fun syncAll(): String = syncRecent()\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n+++ b//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n@@ -93,6 +93,8 @@\\n suspend fun syncRecent(): String = syncSince(LocalDate.now(ZoneId.systemDefault()).minusDays(6), \\\"recent\\\")\\n \\n suspend fun syncYearToDate(): String = syncSince(LocalDate.of(2026, 1, 1), \\\"2026\\\")\\n+\\n+ suspend fun syncHistorical(): String = syncSince(LocalDate.of(2015, 1, 1), \\\"historical\\\")\\n \\n suspend fun syncAll(): String = syncRecent()\\n \\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"], \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .kt files\"}}", "tool_call_id": "call_PI1i8zUr3auhh2JNepJVEOtY", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_sBWkCcQ8sL9VLXT70pdDijLW", "call_id": "call_sBWkCcQ8sL9VLXT70pdDijLW", "response_item_id": "fc_06d034090aab91f3016a0ce9dc9e6481948d5aa0a9017a47c1", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" val result = syncer.syncHistorical()\",\"old_string\":\" val result = syncer.syncYearToDate()\",\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/MainActivity.kt\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/MainActivity.kt\\n+++ b//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/MainActivity.kt\\n@@ -103,7 +103,7 @@\\n \\n lifecycleScope.launch(Dispatchers.IO) {\\n val syncer = HealthConnectSync(this@MainActivity)\\n- val result = syncer.syncYearToDate()\\n+ val result = syncer.syncHistorical()\\n withContext(Dispatchers.Main) {\\n statusText.text = result\\n syncButton.isEnabled = true\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/MainActivity.kt\"], \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .kt files\"}}", "tool_call_id": "call_sBWkCcQ8sL9VLXT70pdDijLW", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_1TcmUgKVXNqU4guJdQ4LpgBs", "call_id": "call_1TcmUgKVXNqU4guJdQ4LpgBs", "response_item_id": "fc_06d034090aab91f3016a0ce9e35618819491afea8c7e56d199", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" android:text=\\\"Import All\\\"\",\"old_string\":\" android:text=\\\"Import 2026\\\"\",\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/res/layout/activity_main.xml\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/android-app/app/src/main/res/layout/activity_main.xml\\n+++ b//home/ubuntu/health-bridge/android-app/app/src/main/res/layout/activity_main.xml\\n@@ -27,7 +27,7 @@\\n android:id=\\\"@+id/sync_button\\\"\\n android:layout_width=\\\"200dp\\\"\\n android:layout_height=\\\"56dp\\\"\\n- android:text=\\\"Import 2026\\\"\\n+ android:text=\\\"Import All\\\"\\n android:textSize=\\\"18sp\\\"\\n android:enabled=\\\"false\\\" />\\n \\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/android-app/app/src/main/res/layout/activity_main.xml\"], \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .xml files\"}}", "tool_call_id": "call_1TcmUgKVXNqU4guJdQ4LpgBs", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_XZ95ox82az3DPzdAzGpwOem6", "call_id": "call_XZ95ox82az3DPzdAzGpwOem6", "response_item_id": "fc_06d034090aab91f3016a0ce9f247908194b03eabe1b570861c", "type": "function", "function": {"name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Cambiar app para importar histórico completo, no solo 2026\",\"id\":\"historical\",\"status\":\"completed\"},{\"content\":\"Build/install APK histórico y ejecutar import\",\"id\":\"deploy\",\"status\":\"in_progress\"}]}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"verify2026\", \"content\": \"Verificar import 2026 y estado actual de DB\", \"status\": \"completed\"}, {\"id\": \"historical\", \"content\": \"Cambiar app para importar histórico completo, no solo 2026\", \"status\": \"completed\"}, {\"id\": \"deploy\", \"content\": \"Build/install APK histórico y ejecutar import\", \"status\": \"in_progress\"}, {\"id\": \"verifyhist\", \"content\": \"Verificar rango histórico importado y confirmar sync diario\", \"status\": \"pending\"}], \"summary\": {\"total\": 4, \"pending\": 1, \"in_progress\": 1, \"completed\": 2, \"cancelled\": 0}}", "tool_call_id": "call_XZ95ox82az3DPzdAzGpwOem6", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_Z8Y1eNVBlUTfRluIOhbotA1R", "call_id": "call_Z8Y1eNVBlUTfRluIOhbotA1R", "response_item_id": "fc_06d034090aab91f3016a0ce9f51bac81948c9b54d24cc764e1", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"./gradlew assembleDebug --no-daemon && cp app/build/outputs/apk/debug/app-debug.apk /home/ubuntu/health-bridge/static/health-bridge.apk && python3 - <<'PY'\\nimport os, hashlib\\np='/home/ubuntu/health-bridge/static/health-bridge.apk'\\nprint(os.path.getsize(p))\\nprint(hashlib.sha256(open(p,'rb').read()).hexdigest())\\nPY\",\"timeout\":600,\"workdir\":\"/home/ubuntu/health-bridge/android-app\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"To honour the JVM settings for this build a single-use Daemon process will be forked. For more on this, please refer to https://docs.gradle.org/8.11.1/userguide/gradle_daemon.html#sec:disabling_the_daemon in the Gradle documentation.\\nDaemon will be stopped at the end of the build \\n> Task :app:preBuild UP-TO-DATE\\n> Task :app:preDebugBuild UP-TO-DATE\\n> Task :app:mergeDebugNativeDebugMetadata NO-SOURCE\\n> Task :app:checkKotlinGradlePluginConfigurationErrors SKIPPED\\n> Task :app:checkDebugAarMetadata UP-TO-DATE\\n> Task :app:generateDebugResValues UP-TO-DATE\\n> Task :app:mapDebugSourceSetPaths\\n> Task :app:generateDebugResources\\n> Task :app:packageDebugResources\\n> Task :app:createDebugCompatibleScreenManifests UP-TO-DATE\\n> Task :app:extractDeepLinksDebug UP-TO-DATE\\n> Task :app:mergeDebugResources\\n> Task :app:parseDebugLocalResources\\n> Task :app:processDebugMainManifest UP-TO-DATE\\n> Task :app:processDebugManifest UP-TO-DATE\\n> Task :app:processDebugManifestForPackage UP-TO-DATE\\n> Task :app:javaPreCompileDebug UP-TO-DATE\\n> Task :app:mergeDebugShaders UP-TO-DATE\\n> Task :app:compileDebugShaders NO-SOURCE\\n> Task :app:generateDebugAssets UP-TO-DATE\\n> Task :app:mergeDebugAssets UP-TO-DATE\\n> Task :app:compressDebugAssets UP-TO-DATE\\n> Task :app:desugarDebugFileDependencies UP-TO-DATE\\n> Task :app:checkDebugDuplicateClasses UP-TO-DATE\\nAAPT2 aapt2-8.9.1-12782657-linux Daemon #0: Unexpected error output: Error: Symbol nftw not found, cannot apply R_X86_64_JUMP_SLOT @0x1004fef20 (0x4e48c6) in /home/ubuntu/.gradle/caches/8.11.1/transforms/5ff7de95adb170690a4de476b7cddb1f/transformed/aapt2-8.9.1-12782657-linux/aapt2\\n> Task :app:mergeExtDexDebug UP-TO-DATE\\n> Task :app:mergeLibDexDebug UP-TO-DATE\\n> Task :app:mergeDebugJniLibFolders UP-TO-DATE\\n> Task :app:mergeDebugNativeLibs NO-SOURCE\\n> Task :app:stripDebugDebugSymbols NO-SOURCE\\n> Task :app:validateSigningDebug UP-TO-DATE\\n> Task :app:writeDebugAppMetadata UP-TO-DATE\\n> Task :app:writeDebugSigningConfigVersions UP-TO-DATE\\n> Task :app:processDebugResources\\n> Task :app:compileDebugKotlin\\n> Task :app:compileDebugJavaWithJavac NO-SOURCE\\n> Task :app:dexBuilderDebug\\n> Task :app:mergeDebugGlobalSynthetics UP-TO-DATE\\n> Task :app:processDebugJavaRes UP-TO-DATE\\n> Task :app:mergeDebugJavaResource UP-TO-DATE\\n> Task :app:mergeProjectDexDebug\\n> Task :app:packageDebug\\n> Task :app:createDebugApkListingFileRedirect UP-TO-DATE\\n> Task :app:assembleDebug\\n\\nBUILD SUCCESSFUL in 21s\\n33 actionable tasks: 10 executed, 23 up-to-date\\n18362319\\n71bd9ecf22a53717859a896ec830ff1a435a891d0b268306460e7b319231facd\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_Z8Y1eNVBlUTfRluIOhbotA1R", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_I0kf0L4kI8vKUB62KF2HraIn", "call_id": "call_I0kf0L4kI8vKUB62KF2HraIn", "response_item_id": "fc_06d034090aab91f3016a0cea10658481948bb5e7e2741e96a9", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"adb devices\",\"timeout\":60}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"List of devices attached\\n100.111.239.9:46079\\tdevice\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_I0kf0L4kI8vKUB62KF2HraIn", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_DTUvK2wfvidwlNitDkZMZXkf", "call_id": "call_DTUvK2wfvidwlNitDkZMZXkf", "response_item_id": "fc_06d034090aab91f3016a0cea1507388194bfb82627824daa2f", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"adb -s 100.111.239.9:46079 install -r /home/ubuntu/health-bridge/static/health-bridge.apk && adb -s 100.111.239.9:46079 shell monkey -p com.healthbridge.app 1\",\"timeout\":180}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"Performing Streamed Install\\nSuccess\\n bash arg: -p\\n bash arg: com.healthbridge.app\\n bash arg: 1\\nargs: [-p, com.healthbridge.app, 1]\\n arg: \\\"-p\\\"\\n arg: \\\"com.healthbridge.app\\\"\\n arg: \\\"1\\\"\\ndata=\\\"com.healthbridge.app\\\"\\nEvents injected: 1\\n## Network stats: elapsed time=64ms (0ms mobile, 0ms wifi, 64ms not connected)\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_DTUvK2wfvidwlNitDkZMZXkf", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_3yhS0yGQT6nPaVc9MqSsRY7P", "call_id": "call_3yhS0yGQT6nPaVc9MqSsRY7P", "response_item_id": "fc_06d034090aab91f3016a0cea20618881949befe59c38370718", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"adb -s 100.111.239.9:46079 shell uiautomator dump /sdcard/window.xml >/dev/null && adb -s 100.111.239.9:46079 shell cat /sdcard/window.xml | tr '>' '>\\\\n' | grep -E 'status_text|sync_button'\",\"timeout\":60}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_3yhS0yGQT6nPaVc9MqSsRY7P", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_oGqdO5TNixAyrJYF63R5Yzkm", "call_id": "call_oGqdO5TNixAyrJYF63R5Yzkm", "response_item_id": "fc_06d034090aab91f3016a0cea27966c8194b9064bcf37f4ca24", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"adb -s 100.111.239.9:46079 shell input tap 540 1450 && echo tapped\",\"timeout\":60}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"tapped\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_oGqdO5TNixAyrJYF63R5Yzkm", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_n2LH17lZyaUDr7mkPAdnLhxD", "call_id": "call_n2LH17lZyaUDr7mkPAdnLhxD", "response_item_id": "fc_06d034090aab91f3016a0cea2afc888194aab945e1e26c3314", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"for i in $(seq 1 80); do adb -s 100.111.239.9:46079 shell uiautomator dump /sdcard/window.xml >/dev/null 2>&1; adb -s 100.111.239.9:46079 shell cat /sdcard/window.xml > /tmp/hb_window.xml; txt=$(python3 - <<'PY'\\nimport re,html\\ns=open('/tmp/hb_window.xml').read()\\nm=re.search(r'text=(?:\\\"([^\\\"]*)\\\"|\\\\'([^\\\\']*)\\\\') resource-id=\\\"com.healthbridge.app:id/status_text\\\"', s)\\nprint(html.unescape((m.group(1) or m.group(2)) if m else 'NO_STATUS'))\\nPY\\n); echo \\\"$i $txt\\\"; case \\\"$txt\\\" in OK*|ERROR*) break;; esac; sleep 5; done\",\"timeout\":480}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"1 Syncing...\\n2 Syncing...\\n3 Syncing...\\n4 Syncing...\\n5 Syncing...\\n6 Syncing...\\n7 Syncing...\\n8 Syncing...\\n9 Syncing...\\n10 Syncing...\\n11 Syncing...\\n12 Syncing...\\n13 Syncing...\\n14 Syncing...\\n15 Syncing...\\n16 Syncing...\\n17 Syncing...\\n18 Syncing...\\n19 Syncing...\\n20 Syncing...\\n21 Syncing...\\n22 Syncing...\\n23 Syncing...\\n24 Syncing...\\n25 Syncing...\\n26 Syncing...\\n27 Syncing...\\n28 ERROR: IllegalStateException: android.health.connect.HealthConnectException: android.health.connect.HealthConnectException: API call quota exceeded, availableQuota: 0.9074135 requested: 1\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_n2LH17lZyaUDr7mkPAdnLhxD", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": 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"id": "rs_06d034090aab91f3016a0ceb0e80248194a8d188cbb707ffb1", "summary": []}], "tool_calls": [{"id": "call_lIZfEB5ELW5oXis9JwsdFzeA", "call_id": "call_lIZfEB5ELW5oXis9JwsdFzeA", "response_item_id": "fc_06d034090aab91f3016a0ceb11a2c08194ab2f2e33a29cf9df", "type": "function", "function": {"name": "mcp_context7_resolve_library_id", "arguments": "{\"libraryName\":\"AndroidX Health Connect\",\"query\":\"Health Connect aggregate group by period daily aggregates Kotlin AggregateRecordsGroupedByPeriodRequest\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "mcp_context7_resolve_library_id", "content": "{\"result\": \"Available Libraries:\\n\\n- Title: AndroidX\\n- Context7-compatible library ID: /androidx/androidx\\n- Description: Android Jetpack is a suite of libraries, tools, and guidance that helps developers write high-quality apps easier by following best practices, reducing boilerplate code, and simplifying complex tasks.\\n- Code Snippets: 146761\\n- Source Reputation: High\\n- Benchmark Score: 68.31\\n----------\\n- Title: AndroidX\\n- Context7-compatible library ID: /websites/developer_android_jetpack_androidx\\n- Description: AndroidX is a major improvement to the Android Support Library, comprising the Android Jetpack libraries, providing backward compatibility and new features with a consistent namespace and independent updates.\\n- Code Snippets: 4720\\n- Source Reputation: High\\n- Benchmark Score: 58.45\\n----------\\n- Title: AndroidX\\n- Context7-compatible library ID: /websites/developer_android_jetpack_androidx_releases\\n- Description: AndroidX is a collection of Android libraries that provide backward compatibility and new features for Android app development, including Jetpack libraries for UI, architecture, and device-specific functionality.\\n- Code Snippets: 7824\\n- Source Reputation: High\\n- Benchmark Score: 57\\n----------\\n- Title: AndroidX\\n- Context7-compatible library ID: /websites/developer_android_reference_kotlin_androidx\\n- Description: AndroidX is a collection of Kotlin libraries that provide backward-compatible versions of Android framework APIs and support for modern Android development patterns.\\n- Code Snippets: 715\\n- Source Reputation: High\\n- Benchmark Score: 26.25\\n----------\\n- Title: AndroidX Core\\n- Context7-compatible library ID: /websites/developer_android_reference_androidx\\n- Description: AndroidX Core is a Google-maintained support library that provides backward-compatible implementations of newer Android platform features and APIs.\\n- Code Snippets: 61\\n- Source Reputation: High\\n- Benchmark Score: 23.45\"}", "tool_call_id": "call_lIZfEB5ELW5oXis9JwsdFzeA", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_ON1SQILGNEhZxVSoTWk7Zvj0", "call_id": "call_ON1SQILGNEhZxVSoTWk7Zvj0", "response_item_id": "fc_06d034090aab91f3016a0ceb1612a88194993c914e3d04655a", "type": "function", "function": {"name": "mcp_context7_query_docs", "arguments": "{\"libraryId\":\"/androidx/androidx\",\"query\":\"Health Connect Kotlin aggregate daily data over date range using AggregateRecordsGroupedByPeriodRequest or aggregateGroupByPeriod. Need imports and example for StepsRecord COUNT_TOTAL DistanceRecord etc.\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "mcp_context7_query_docs", "content": "{\"result\": \"### HealthConnectClient: Aggregating Health Data\\n\\nSource: https://github.com/androidx/androidx/blob/androidx-main/health/connect/connect-client/api/1.1.0-beta01.txt\\n\\nMethods for aggregating health data using various requests. These methods allow for summarizing data over specific time periods or durations. They return aggregation results or grouped results.\\n\\n```kotlin\\nmethod public suspend Object? aggregate(androidx.health.connect.client.request.AggregateRequest request, kotlin.coroutines.Continuation);\\n method public suspend Object? aggregateGroupByDuration(androidx.health.connect.client.request.AggregateGroupByDurationRequest request, kotlin.coroutines.Continuation>);\\n method public suspend Object? aggregateGroupByPeriod(androidx.health.connect.client.request.AggregateGroupByPeriodRequest request, kotlin.coroutines.Continuation>);\\n```\\n\\n--------------------------------\\n\\n### Aggregate Data Requests in Kotlin\\n\\nSource: https://github.com/androidx/androidx/blob/androidx-main/health/connect/connect-client/api/restricted_1.1.0-beta01.txt\\n\\nDefines classes for requesting aggregated health data. Supports grouping by duration or period, with options for filtering by data origin. These classes are essential for summarizing health metrics over specified time intervals.\\n\\n```kotlin\\npublic final class AggregateGroupByDurationRequest {\\n ctor public AggregateGroupByDurationRequest(java.util.Set> metrics, androidx.health.connect.client.time.TimeRangeFilter timeRangeFilter, java.time.Duration timeRangeSlicer, optional java.util.Set dataOriginFilter);\\n }\\n\\n public final class AggregateGroupByPeriodRequest {\\n ctor public AggregateGroupByPeriodRequest(java.util.Set> metrics, androidx.health.connect.client.time.TimeRangeFilter timeRangeFilter, java.time.Period timeRangeSlicer, optional java.util.Set dataOriginFilter);\\n }\\n\\n public final class AggregateRequest {\\n ctor public AggregateRequest(java.util.Set> metrics, androidx.health.connect.client.time.TimeRangeFilter timeRangeFilter, optional java.util.Set dataOriginFilter);\\n }\\n```\\n\\n--------------------------------\\n\\n### Aggregate Health Data Requests\\n\\nSource: https://github.com/androidx/androidx/blob/androidx-main/health/connect/connect-client/api/restricted_1.1.0-beta02.txt\\n\\nClasses used to define aggregation queries for health metrics. These requests support grouping by duration or period and filtering by time range and data origin.\\n\\n```Java\\nAggregateGroupByDurationRequest request = new AggregateGroupByDurationRequest(metrics, timeRangeFilter, timeRangeSlicer, dataOriginFilter);\\nAggregateGroupByPeriodRequest periodRequest = new AggregateGroupByPeriodRequest(metrics, timeRangeFilter, timeRangeSlicer, dataOriginFilter);\\nAggregateRequest simpleRequest = new AggregateRequest(metrics, timeRangeFilter, dataOriginFilter);\\n```\\n\\n--------------------------------\\n\\n### Constructing Health Connect Requests\\n\\nSource: https://github.com/androidx/androidx/blob/androidx-main/health/connect/connect-client/api/1.1.0-beta01.txt\\n\\nExamples of initializing various request types for data aggregation and record retrieval in Health Connect.\\n\\n```kotlin\\nval request = AggregateRequest(\\n metrics = setOf(StepsRecord.STEPS_COUNT_TOTAL),\\n timeRangeFilter = TimeRangeFilter.after(Instant.now().minus(Duration.ofDays(1)))\\n)\\n\\nval readRequest = ReadRecordsRequest(\\n recordType = StepsRecord::class,\\n timeRangeFilter = TimeRangeFilter.after(Instant.now().minus(Duration.ofHours(1)))\\n)\\n```\\n\\n--------------------------------\\n\\n### Aggregate Health Data\\n\\nSource: https://github.com/androidx/androidx/blob/androidx-main/health/connect/connect-client/api/1.1.0-beta02.txt\\n\\nMethods for aggregating health data, either in total or grouped by specified time durations or periods. These functions are essential for summarizing user health metrics.\\n\\n```kotlin\\npublic suspend Object? aggregate(androidx.health.connect.client.request.AggregateRequest request, kotlin.coroutines.Continuation);\\n method public suspend Object? aggregateGroupByDuration(androidx.health.connect.client.request.AggregateGroupByDurationRequest request, kotlin.coroutines.Continuation>);\\n method public suspend Object? aggregateGroupByPeriod(androidx.health.connect.client.request.AggregateGroupByPeriodRequest request, kotlin.coroutines.Continuation>);\\n```\"}", "tool_call_id": "call_ON1SQILGNEhZxVSoTWk7Zvj0", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": "**Clarifying data needs**\n\nI'm considering how to patch imports and the function readDailyAggregates, which uses groupByPeriod. I need to clarify what specific fields I'm looking for, like startTime and endTime, so I can formulate a correct query. It's important to get this right for optimal data retrieval and to ensure everything works smoothly. I'll focus on gathering the necessary information to clarify this.", "finish_reason": "tool_calls", "reasoning_content": "**Clarifying data needs**\n\nI'm considering how to patch imports and the function readDailyAggregates, which uses groupByPeriod. I need to clarify what specific fields I'm looking for, like startTime and endTime, so I can formulate a correct query. It's important to get this right for optimal data retrieval and to ensure everything works smoothly. I'll focus on gathering the necessary information to clarify this.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDOsdpEIxZSkQbb5ySCVrX8vUrkIgM12kL9OPcLOnbLkkhz8VfQjNreSo0bMrhlweGF1OpyE2TxTAvUViQ7pKyTg3MvZJ-1I0O5ujoqQ4NjkdMm5EkUOnCSo9c1tODdoPON0HUzsN9OiN-XChRiuUepwPf3IpsAks-z0gsuVOHKLkLn3VIBRSlflMo6kpar-epLl6EHwcVSjQlIWgztGm_EwRL04ksPEKy8kX56Yj3tbQI3Zsl2eDFKsDs-dOFVuw9xdRXGZ8j_fmeEZ6KhAY4OWJAxNHDgAK2usfAVA9bu2I3jojAYo-bnYLqoxOap7C2B2NlaHKhb4uvFzpt7jg0dWiFex5iA4FeOdb2Q4EUQMz2I19ynUKsB6G5AsdlDALYsCktz7rG-Gz_rY6UXx5AVqgX5RTSVHag2ljgb5RQovsxNrpGbEbSyWgkzd59rT9-20Pm9AP-A6ctu7jzeW4VGx6SJLt4CSMm6ru57X1wGnHW1-TRwcEhiKZP1dqIK4mCp_GrNYncz4R-OCVmDhAGuIFXQbCHqWTQ5_XDfAeVrAUjArLecPX2r-_4sZ57XMaorpSs5xB_flo8XeWonLfubM1zq_4qRDV3dllKn2CfR3npc3cQHmocPy-m22s8GQKJnEM26TuRrKDvigOuNt2H461RCjTTVjojTmRCXaDaqHMfHv7Ib_57GW7Jq2aPW-XtAos_4IO9-ximM0dw1vuaUJkLArsYBarT2sGqUs5gX2FdSm2LKDMtKsFJCuqHJGV6l-XjKJ3G6162NO8BwOflgHf-_Ik9hXN6INyeUNQwsDLmPYxf7GRX1hXRySCbaXUTdlECfVx_1nLy1G-Iu2KDWEYF6NyoHws3-h5uNxCYn0njEwKdB6YLMjQ2SUZwxVwhhPh8i8PqwNlWDN4b0kpzLWAJpzM4O6ImSVvVQ5BhSdleAA8ohn4Mi0lAT4bhod8R5u3lmHAlYI10P3acHvSb08v8L2_lEj80NBh1zkx76GHbOJwKl67MS4dcnYPYiSQ926aTE5_TQkEV8s4JofxQDF6ivHUBGdKSEGPOk2sZ4iShv0=", "id": "rs_06d034090aab91f3016a0ceb1ad13481948a2e9d58c9d06d87", "summary": [{"type": "summary_text", "text": "**Clarifying data needs**\n\nI'm considering how to patch imports and the function readDailyAggregates, which uses groupByPeriod. I need to clarify what specific fields I'm looking for, like startTime and endTime, so I can formulate a correct query. It's important to get this right for optimal data retrieval and to ensure everything works smoothly. I'll focus on gathering the necessary information to clarify this."}]}], "tool_calls": [{"id": "call_KBXc5N21W6LzViNsf1MYaFwk", "call_id": "call_KBXc5N21W6LzViNsf1MYaFwk", "response_item_id": "fc_06d034090aab91f3016a0ceb1d0fa0819488425fdec90114a3", "type": "function", "function": {"name": "mcp_context7_query_docs", "arguments": "{\"libraryId\":\"/androidx/androidx\",\"query\":\"AggregationResultGroupedByPeriod fields startTime endTime result Kotlin Health Connect\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "mcp_context7_query_docs", "content": "{\"result\": \"### Health Connect Aggregation Result Handling\\n\\nSource: https://github.com/androidx/androidx/blob/androidx-main/health/connect/connect-client/api/restricted_1.1.0-beta02.txt\\n\\nClasses for handling aggregated health data. AggregationResult provides methods to access data origins and retrieve specific aggregated metrics. AggregationResultGroupedByDuration and AggregationResultGroupedByPeriod allow results to be grouped by time intervals.\\n\\n```java\\npublic final class AggregationResult {\\n method public operator boolean contains(androidx.health.connect.client.aggregate.AggregateMetric metric);\\n method public T? get(androidx.health.connect.client.aggregate.AggregateMetric metric);\\n method public java.util.Set getDataOrigins();\\n property public java.util.Set dataOrigins;\\n}\\n\\npublic final class AggregationResultGroupedByDuration {\\n method public java.time.Instant getEndTime();\\n method public androidx.health.connect.client.aggregate.AggregationResult getResult();\\n method public java.time.Instant getStartTime();\\n method public java.time.ZoneOffset getZoneOffset();\\n property public java.time.Instant endTime;\\n property public androidx.health.connect.client.aggregate.AggregationResult result;\\n property public java.time.Instant startTime;\\n property public java.time.ZoneOffset zoneOffset;\\n}\\n\\npublic final class AggregationResultGroupedByPeriod {\\n```\\n\\n--------------------------------\\n\\n### Constructing Health Connect Requests\\n\\nSource: https://github.com/androidx/androidx/blob/androidx-main/health/connect/connect-client/api/1.1.0-beta01.txt\\n\\nExamples of initializing various request types for data aggregation and record retrieval in Health Connect.\\n\\n```kotlin\\nval request = AggregateRequest(\\n metrics = setOf(StepsRecord.STEPS_COUNT_TOTAL),\\n timeRangeFilter = TimeRangeFilter.after(Instant.now().minus(Duration.ofDays(1)))\\n)\\n\\nval readRequest = ReadRecordsRequest(\\n recordType = StepsRecord::class,\\n timeRangeFilter = TimeRangeFilter.after(Instant.now().minus(Duration.ofHours(1)))\\n)\\n```\\n\\n--------------------------------\\n\\n### Define Health Connect Read Medical Data Permissions (Kotlin)\\n\\nSource: https://github.com/androidx/androidx/blob/androidx-main/health/connect/connect-client/api/restricted_1.1.0-beta02.txt\\n\\nDefines constants for read permissions related to various medical data types in Android Health Connect. These are often used in the AndroidManifest.xml file to declare app permissions. Note the use of @ExperimentalPersonalHealthRecordApi for certain fields.\\n\\n```kotlin\\nfield @SuppressCompatibility @androidx.health.connect.client.feature.ExperimentalPersonalHealthRecordApi public static final String PERMISSION_READ_MEDICAL_DATA_PREGNANCY = \\\"android.permission.health.READ_MEDICAL_DATA_PREGNANCY\\\";\\nfield @SuppressCompatibility @androidx.health.connect.client.feature.ExperimentalPersonalHealthRecordApi public static final String PERMISSION_READ_MEDICAL_DATA_PROCEDURES = \\\"android.permission.health.READ_MEDICAL_DATA_PROCEDURES\\\";\\nfield @SuppressCompatibility @androidx.health.connect.client.feature.ExperimentalPersonalHealthRecordApi public static final String PERMISSION_READ_MEDICAL_DATA_SOCIAL_HISTORY = \\\"android.permission.health.READ_MEDICAL_DATA_SOCIAL_HISTORY\\\";\\nfield @SuppressCompatibility @androidx.health.connect.client.feature.ExperimentalPersonalHealthRecordApi public static final String PERMISSION_READ_MEDICAL_DATA_VACCINES = \\\"android.permission.health.READ_MEDICAL_DATA_VACCINES\\\";\\nfield @SuppressCompatibility @androidx.health.connect.client.feature.ExperimentalPersonalHealthRecordApi public static final String PERMISSION_READ_MEDICAL_DATA_VISITS = \\\"android.permission.health.READ_MEDICAL_DATA_VISITS\\\";\\nfield @SuppressCompatibility @androidx.health.connect.client.feature.ExperimentalPersonalHealthRecordApi public static final String PERMISSION_READ_MEDICAL_DATA_VITAL_SIGNS = \\\"android.permission.health.READ_MEDICAL_DATA_VITAL_SIGNS\\\";\\n```\\n\\n--------------------------------\\n\\n### Define Health Connect Write Permissions (Kotlin)\\n\\nSource: https://github.com/androidx/androidx/blob/androidx-main/health/connect/connect-client/api/restricted_1.1.0-beta02.txt\\n\\nDefines constants for write permissions related to exercise routes and general medical data in Android Health Connect. These permissions are crucial for applications that need to contribute data to the Health Connect store. The @ExperimentalPersonalHealthRecordApi annotation indicates potential changes in future versions.\\n\\n```kotlin\\nfield public static final String PERMISSION_WRITE_EXERCISE_ROUTE = \\\"android.permission.health.WRITE_EXERCISE_ROUTE\\\";\\nfield @SuppressCompatibility @androidx.health.connect.client.feature.ExperimentalPersonalHealthRecordApi public static final String PERMISSION_WRITE_MEDICAL_DATA = \\\"android.permission.health.WRITE_MEDICAL_DATA\\\";\\n```\\n\\n--------------------------------\\n\\n### Health Connect Response Classes in Kotlin\\n\\nSource: https://github.com/androidx/androidx/blob/androidx-main/health/connect/connect-client/api/restricted_1.1.0-beta01.txt\\n\\nContains classes for handling responses from Health Connect API calls. Includes structures for changes, inserted record IDs, and retrieved records, with and without pagination.\\n\\n```kotlin\\npublic final class ChangesResponse {\\n method public java.util.List getChanges();\\n method public boolean getChangesTokenExpired();\\n method public String getNextChangesToken();\\n method public boolean hasMore();\\n property public java.util.List changes;\\n property public boolean changesTokenExpired;\\n property public boolean hasMore;\\n property public String nextChangesToken;\\n }\\n\\n public final class InsertRecordsResponse {\\n method public java.util.List getRecordIdsList();\\n property public java.util.List recordIdsList;\\n }\\n\\n public final class ReadRecordResponse {\\n method public T getRecord();\\n property public T record;\\n }\\n\\n public final class ReadRecordsResponse {\\n method public String? getPageToken();\\n method public java.util.List getRecords();\\n property public String? pageToken;\\n property public java.util.List records;\\n }\\n```\"}", "tool_call_id": "call_KBXc5N21W6LzViNsf1MYaFwk", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_VlzCyM7bY5awbdd46iqg5sSG", "call_id": "call_VlzCyM7bY5awbdd46iqg5sSG", "response_item_id": "fc_06d034090aab91f3016a0ceb2181b8819495b0f7f7490c2c8c", "type": "function", "function": {"name": "execute_code", "arguments": "{\"code\":\"from hermes_tools import patch\\np='/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt'\\n# use patch tool not direct? execute_code can patch, but let's print no-op\\nprint('ready')\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"ready\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.27}", "tool_call_id": "call_VlzCyM7bY5awbdd46iqg5sSG", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_SzII8THwC8u2F21DQCcTS9NT", "call_id": "call_SzII8THwC8u2F21DQCcTS9NT", "response_item_id": "fc_06d034090aab91f3016a0ceb27ef7081949dd20e2ef0c94c0a", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\",\"old_string\":\"import androidx.health.connect.client.request.AggregateRequest\\nimport androidx.health.connect.client.request.ReadRecordsRequest\",\"new_string\":\"import androidx.health.connect.client.request.AggregateGroupByPeriodRequest\\nimport androidx.health.connect.client.request.AggregateRequest\\nimport androidx.health.connect.client.request.ReadRecordsRequest\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n+++ b//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n@@ -6,6 +6,7 @@\\n import androidx.health.connect.client.HealthConnectFeatures\\n import androidx.health.connect.client.permission.HealthPermission\\n import androidx.health.connect.client.records.*\\n+import androidx.health.connect.client.request.AggregateGroupByPeriodRequest\\n import androidx.health.connect.client.request.AggregateRequest\\n import androidx.health.connect.client.request.ReadRecordsRequest\\n import androidx.health.connect.client.time.TimeRangeFilter\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"], \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .kt files\"}}", "tool_call_id": "call_SzII8THwC8u2F21DQCcTS9NT", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_8G2PUBeC3QjMVvMK8xX7hcf1", "call_id": "call_8G2PUBeC3QjMVvMK8xX7hcf1", "response_item_id": "fc_06d034090aab91f3016a0ceb2d33748194966c51b015550a4f", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"import java.time.Period\\nimport java.time.ZoneId\",\"old_string\":\"import java.time.LocalDate\\nimport java.time.ZoneId\",\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n+++ b//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n@@ -19,7 +19,7 @@\\n import java.net.URL\\n import java.time.Duration\\n import java.time.Instant\\n-import java.time.LocalDate\\n+import java.time.Period\\n import java.time.ZoneId\\n import java.time.ZonedDateTime\\n import java.util.concurrent.TimeUnit\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"], \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .kt files\"}}", "tool_call_id": "call_8G2PUBeC3QjMVvMK8xX7hcf1", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDOszmuD-MzpCav0ZGj1TfXUkbValcuAuX-RoiFSMn06J2vAeY_tEtVAUxE5Dder3ss4AJGRDWrXCOu6Jt77DB5YvToDApGGEghhxRiQSoAqlY6lkWbKLTKjrzZnNbXkBvY1viucQBSemfjUSER-LUZoe4EUlRbco3Ozfqvwq8_8CEEruPTqOCtNgIcFRW_D9vzpNkZdsj8QApsZLj0amYqDT7IXPgawK_Dkog6RAEnbEzAWKtA5mndNzTfJPwAIwTAGZguQTVe_DVXZczDsEegheIA7z9kq9V7_Fz5Kb98NFlet-SzYPg891Px8Fq0t2lsfTep4wJZfKxaArm4EHVflTY6c2PoDyr-q9sf6RH67v34Sdui_wVkZwIutt_FYRBVbeXk5Z7EX-1JXwuHbOB3FNmySF0v_cN-lbunXhdnWd1aqSXZ8r0g0ZTXyANnp-Z_XJz1nXd2OEtI0ne0Gjh48OvBl0EXAGHqeOOJ_ubyQ5PQPfdgor9DCDMYcwAKjcYLgK2MoDmbd_YybnoakIo5MDeBOQr5XemhesZHZn72WNZmEiqfs740ZTRL2KTgrFUJeCexoR0GW19o520-xb9Sn1EW8JyDWHhtuP_EpbwxOSDt9IprNjkGMhuwtph_S1b7Ncq1pw9oImenaMhRGqzQtpFNkfEqoB3spymTa-VJs7yvMOsWIZ1plIy4oE3F37MvfPAqpByyIgcfj1po2F3JiwXpNRx4Wu0nmIe4jrhpsz8Tph9UoUlfHQflBCQyOSUFGnBUQClFSKEu9qbdwelBIHRI4AudOXoQz7pwXDfRUCFb2h14wgiSPeUJx2vh1xLGUFQDHuywQdO5sh4TXP82NSTIQKPe_ZbxBPRKdq0VXJ7OGsYRWTBL0tVlc4aTON5nuI6h_TjMszyMf5oQelJMv7PyfNBzRPfJg7__kEzjE-AlJowpv3DJfyUiJVXHtFR2Wp40LO8oi2KyrIjTWuZF6Hzg==", "id": "rs_06d034090aab91f3016a0ceb31bfa08194a40035dc7c904af5", "summary": []}], "tool_calls": [{"id": "call_Uvk7lLTSawIy6hiQfgGAwXni", "call_id": "call_Uvk7lLTSawIy6hiQfgGAwXni", "response_item_id": "fc_06d034090aab91f3016a0ceb3378208194aacc1cde0d498d33", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"import java.time.Instant\\nimport java.time.LocalDate\\nimport java.time.Period\\nimport java.time.ZoneId\",\"old_string\":\"import java.time.Instant\\nimport java.time.Period\\nimport java.time.ZoneId\",\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n+++ b//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n@@ -19,6 +19,7 @@\\n import java.net.URL\\n import java.time.Duration\\n import java.time.Instant\\n+import java.time.LocalDate\\n import java.time.Period\\n import java.time.ZoneId\\n import java.time.ZonedDateTime\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"], \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .kt files\"}}", "tool_call_id": "call_Uvk7lLTSawIy6hiQfgGAwXni", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_Zcc55Qkh3GW7WUXxw9o06dpg", "call_id": "call_Zcc55Qkh3GW7WUXxw9o06dpg", "response_item_id": "fc_06d034090aab91f3016a0ceb37793c8194a82d894b4937c462", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\",\"offset\":167,\"limit\":62}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "read_file", "content": "{\"content\": \" 167| } catch (e: Exception) {\\n 168| false\\n 169| }\\n 170| }\\n 171|\\n 172| private fun has(granted: Set, recordType: kotlin.reflect.KClass): Boolean =\\n 173| granted.contains(HealthPermission.getReadPermission(recordType))\\n 174|\\n 175| private fun hasAll(granted: Set, permissions: Set): Boolean = granted.containsAll(permissions)\\n 176|\\n 177| // ── Aggregated Totals ─────────────────────────────────────\\n 178|\\n 179| private suspend fun readDailyAggregates(\\n 180| startDate: LocalDate,\\n 181| endDate: LocalDate,\\n 182| now: Instant,\\n 183| zoneId: ZoneId,\\n 184| granted: Set\\n 185| ): JSONArray {\\n 186| val arr = JSONArray()\\n 187| var date = startDate\\n 188| while (!date.isAfter(endDate)) {\\n 189| val start = date.atStartOfDay(zoneId)\\n 190| val end = minOf(start.plusDays(1).toInstant(), now)\\n 191| readAggregatedDay(date, start, end, zoneId, granted)?.let { arr.put(it) }\\n 192| date = date.plusDays(1)\\n 193| }\\n 194| return arr\\n 195| }\\n 196|\\n 197| private suspend fun readAggregatedDay(\\n 198| localDate: LocalDate,\\n 199| start: ZonedDateTime,\\n 200| end: Instant,\\n 201| zoneId: ZoneId,\\n 202| granted: Set\\n 203| ): JSONObject? {\\n 204| val startInstant = start.toInstant()\\n 205| val obj = JSONObject().apply {\\n 206| put(\\\"type\\\", \\\"daily_aggregate\\\")\\n 207| put(\\\"local_date\\\", localDate.toString())\\n 208| put(\\\"timezone\\\", zoneId.id)\\n 209| put(\\\"period_start\\\", startInstant.toString())\\n 210| put(\\\"period_end\\\", end.toString())\\n 211| put(\\\"subject\\\", SUBJECT)\\n 212| put(\\\"record_key\\\", \\\"daily_aggregate:$SUBJECT:$localDate\\\")\\n 213| put(\\\"source\\\", \\\"health_connect\\\")\\n 214| }\\n 215| if (!startInstant.isBefore(end)) return null\\n 216| if (has(granted, StepsRecord::class)) {\\n 217| client.aggregate(AggregateRequest(setOf(StepsRecord.COUNT_TOTAL), TimeRangeFilter.between(startInstant, end)))[StepsRecord.COUNT_TOTAL]\\n 218| ?.let { obj.put(\\\"steps\\\", it) } ?: obj.put(\\\"steps\\\", 0)\\n 219| }\\n 220| if (has(granted, DistanceRecord::class)) {\\n 221| client.aggregate(AggregateRequest(setOf(DistanceRecord.DISTANCE_TOTAL), TimeRangeFilter.between(startInstant, end)))[DistanceRecord.DISTANCE_TOTAL]\\n 222| ?.let { obj.put(\\\"distance_m\\\", it.inMeters) } ?: obj.put(\\\"distance_m\\\", 0.0)\\n 223| }\\n 224| if (has(granted, FloorsClimbedRecord::class)) {\\n 225| client.aggregate(AggregateRequest(setOf(FloorsClimbedRecord.FLOORS_CLIMBED_TOTAL), TimeRangeFilter.between(startInstant, end)))[FloorsClimbedRecord.FLOORS_CLIMBED_TOTAL]\\n 226| ?.let { obj.put(\\\"floors\\\", it) } ?: obj.put(\\\"floors\\\", 0.0)\\n 227| }\\n 228| if (has(granted, ActiveCaloriesBurnedRecord::class)) {\\n 229|\", \"total_lines\": 581, \"file_size\": 25788, \"truncated\": true, \"hint\": \"Use offset=229 to continue reading (showing 167-228 of 581 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_Zcc55Qkh3GW7WUXxw9o06dpg", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_h4TlDJYitZXoGmAMbauv8aoh", "call_id": "call_h4TlDJYitZXoGmAMbauv8aoh", "response_item_id": "fc_06d034090aab91f3016a0ceb3b4d2881949d3d928afdf55513", "type": "function", "function": {"name": "read_file", "arguments": "{\"limit\":35,\"offset\":229,\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "read_file", "content": "{\"content\": \" 229| client.aggregate(AggregateRequest(setOf(ActiveCaloriesBurnedRecord.ACTIVE_CALORIES_TOTAL), TimeRangeFilter.between(startInstant, end)))[ActiveCaloriesBurnedRecord.ACTIVE_CALORIES_TOTAL]\\n 230| ?.let { obj.put(\\\"active_kcal\\\", it.inKilocalories) } ?: obj.put(\\\"active_kcal\\\", 0.0)\\n 231| }\\n 232| if (has(granted, TotalCaloriesBurnedRecord::class)) {\\n 233| client.aggregate(AggregateRequest(setOf(TotalCaloriesBurnedRecord.ENERGY_TOTAL), TimeRangeFilter.between(startInstant, end)))[TotalCaloriesBurnedRecord.ENERGY_TOTAL]\\n 234| ?.let { obj.put(\\\"total_kcal\\\", it.inKilocalories) } ?: obj.put(\\\"total_kcal\\\", 0.0)\\n 235| }\\n 236|\\n 237| return obj\\n 238| }\\n 239|\\n 240| // ── Heart Rate Samples ────────────────────────────────────\\n 241|\\n 242| private suspend fun readHeartRateSamples(start: Instant, end: Instant): JSONArray? {\\n 243| val records = readAllRecords(start, end, 5000)\\n 244| if (records.isEmpty()) return null\\n 245|\\n 246| val byDate = linkedMapOf>()\\n 247| for (r in records) {\\n 248| for (s in r.samples) {\\n 249| byDate.getOrPut(localDate(s.time)) { mutableListOf() }.add(s)\\n 250| }\\n 251| }\\n 252|\\n 253| val arr = JSONArray()\\n 254| for ((date, daySamples) in byDate) {\\n 255| val samples = JSONArray()\\n 256| for (s in daySamples) {\\n 257| samples.put(JSONObject().apply {\\n 258| put(\\\"bpm\\\", s.beatsPerMinute)\\n 259| put(\\\"time\\\", s.time.toString())\\n 260| })\\n 261| }\\n 262| val bpms = daySamples.map { it.beatsPerMinute }\\n 263| arr.put(JSONObject().apply {\\n 264|\", \"total_lines\": 581, \"file_size\": 25788, \"truncated\": true, \"hint\": \"Use offset=264 to continue reading (showing 229-263 of 581 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_h4TlDJYitZXoGmAMbauv8aoh", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": "**Replacing functions**\n\nI’m thinking about how I need to replace some functions. I might need to use a patch for a large block. It seems like a straightforward solution, but I want to make sure that I’m doing it correctly! I have to consider all the implications and ensure everything works smoothly afterward. I wonder if there are potential complications I should anticipate. Let’s figure out how to properly handle this!", "finish_reason": "tool_calls", "reasoning_content": "**Replacing functions**\n\nI’m thinking about how I need to replace some functions. I might need to use a patch for a large block. It seems like a straightforward solution, but I want to make sure that I’m doing it correctly! I have to consider all the implications and ensure everything works smoothly afterward. I wonder if there are potential complications I should anticipate. Let’s figure out how to properly handle this!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDOtA9mT4DL3mxRezdPyLWbZFPNQ0GDcFaRRSMUwjbGRDS_JjIuMiebdvJLKo_wzMpvJ1OjfH7LaGa16edpWFCdsiAUG4VyxftwFtKCPgd1KXfRrcVQmoaajrGSMSLoGcqXfcqqeP-8gmIdsJFIRLVeJ9hUkcJ2LHOKcwX0JgGwil4oGIDsY8eHpub0swGCukvTQR-5AN_uMxnlSybdNPb6NmKILTfFLa-SoljJC-_LgIXglVW_eSlnw41eMe9le256h1R45LSnJm22eDPG0GKTFiVuf5dz0SCOAnpLd-NytayYSJkfAKYp1arwYmalYhv1Sh3jxKBJTQ_Ya_yqW4LAfu2G5GhhzIsHTDXrXrQTXUS_DQ71YoOpWC4zKeROLZe5NUSaZXSc8fM8adyPbC3XCMpABKbuFZ0ZxQocYCxbbhwrmE5AP7kHvuaAVKZGk3Yk2R_Arn5zW4Vhh2FZcQDYSJJpCeq9O34LGb4rC3mRnxX2EUpczEWSKTPRrEWAyVLYZ16YWeDWiWNVDwrfiEgRvXtXWex-wG_JWuaXfZl9zJD40RbQo8pocbdKY0AVEoYeXU8Uo6wu5zz9yY4aFC2IS3-0Wf1Z3dpmyteXdwmybch40yQ5XtMkf-ABijmKmFly4gYNwddqKgxJ9F6BiSHFYiK9NGbocIP8t-eKNCOErijK3ZlZKwMGSsRp7UQ643JWfdjZ_g00tFz__XIQMI5mTMm6eJjgEamBpM2WD6Rz98TT93iW7q0tMvxeyiva-qSYjXKmU4Y--9KXEjZcINuPs5CpzeBGYW2NIUU3WGFiZfqdQt8mIpy1Fmtnq5ktWDZOViRyHbKtdKYq73zwVbg9JFn7SweF4Jqj-Th7S4yq2y5Nj9roPjlQDYEMzYvB1EC-k3kXcMBMPEL_yhEIgVXa4NVPTZQA4EUcEsbdDNE6reTID_xuAYm6cW4CiqvwN9CBscbLmbsnmb9Jorv9agLiB_iA==", "id": "rs_06d034090aab91f3016a0ceb3ecdb48194940899c9f430c056", "summary": [{"type": "summary_text", "text": "**Replacing functions**\n\nI’m thinking about how I need to replace some functions. I might need to use a patch for a large block. It seems like a straightforward solution, but I want to make sure that I’m doing it correctly! I have to consider all the implications and ensure everything works smoothly afterward. I wonder if there are potential complications I should anticipate. Let’s figure out how to properly handle this!"}]}], "tool_calls": [{"id": "call_gKybXGnvztPJjAs0HXcKfnTM", "call_id": "call_gKybXGnvztPJjAs0HXcKfnTM", "response_item_id": "fc_06d034090aab91f3016a0ceb40277c8194ab62ada30466aa04", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\",\"old_string\":\" private suspend fun readDailyAggregates(\\n startDate: LocalDate,\\n endDate: LocalDate,\\n now: Instant,\\n zoneId: ZoneId,\\n granted: Set\\n ): JSONArray {\\n val arr = JSONArray()\\n var date = startDate\\n while (!date.isAfter(endDate)) {\\n val start = date.atStartOfDay(zoneId)\\n val end = minOf(start.plusDays(1).toInstant(), now)\\n readAggregatedDay(date, start, end, zoneId, granted)?.let { arr.put(it) }\\n date = date.plusDays(1)\\n }\\n return arr\\n }\\n\\n private suspend fun readAggregatedDay(\\n localDate: LocalDate,\\n start: ZonedDateTime,\\n end: Instant,\\n zoneId: ZoneId,\\n granted: Set\\n ): JSONObject? {\\n val startInstant = start.toInstant()\\n val obj = JSONObject().apply {\\n put(\\\"type\\\", \\\"daily_aggregate\\\")\\n put(\\\"local_date\\\", localDate.toString())\\n put(\\\"timezone\\\", zoneId.id)\\n put(\\\"period_start\\\", startInstant.toString())\\n put(\\\"period_end\\\", end.toString())\\n put(\\\"subject\\\", SUBJECT)\\n put(\\\"record_key\\\", \\\"daily_aggregate:$SUBJECT:$localDate\\\")\\n put(\\\"source\\\", \\\"health_connect\\\")\\n }\\n if (!startInstant.isBefore(end)) return null\\n if (has(granted, StepsRecord::class)) {\\n client.aggregate(AggregateRequest(setOf(StepsRecord.COUNT_TOTAL), TimeRangeFilter.between(startInstant, end)))[StepsRecord.COUNT_TOTAL]\\n ?.let { obj.put(\\\"steps\\\", it) } ?: obj.put(\\\"steps\\\", 0)\\n }\\n if (has(granted, DistanceRecord::class)) {\\n client.aggregate(AggregateRequest(setOf(DistanceRecord.DISTANCE_TOTAL), TimeRangeFilter.between(startInstant, end)))[DistanceRecord.DISTANCE_TOTAL]\\n ?.let { obj.put(\\\"distance_m\\\", it.inMeters) } ?: obj.put(\\\"distance_m\\\", 0.0)\\n }\\n if (has(granted, FloorsClimbedRecord::class)) {\\n client.aggregate(AggregateRequest(setOf(FloorsClimbedRecord.FLOORS_CLIMBED_TOTAL), TimeRangeFilter.between(startInstant, end)))[FloorsClimbedRecord.FLOORS_CLIMBED_TOTAL]\\n ?.let { obj.put(\\\"floors\\\", it) } ?: obj.put(\\\"floors\\\", 0.0)\\n }\\n if (has(granted, ActiveCaloriesBurnedRecord::class)) {\\n client.aggregate(AggregateRequest(setOf(ActiveCaloriesBurnedRecord.ACTIVE_CALORIES_TOTAL), TimeRangeFilter.between(startInstant, end)))[ActiveCaloriesBurnedRecord.ACTIVE_CALORIES_TOTAL]\\n ?.let { obj.put(\\\"active_kcal\\\", it.inKilocalories) } ?: obj.put(\\\"active_kcal\\\", 0.0)\\n }\\n if (has(granted, TotalCaloriesBurnedRecord::class)) {\\n client.aggregate(AggregateRequest(setOf(TotalCaloriesBurnedRecord.ENERGY_TOTAL), TimeRangeFilter.between(startInstant, end)))[TotalCaloriesBurnedRecord.ENERGY_TOTAL]\\n ?.let { obj.put(\\\"total_kcal\\\", it.inKilocalories) } ?: obj.put(\\\"total_kcal\\\", 0.0)\\n }\\n\\n return obj\\n }\\n\",\"new_string\":\" private suspend fun readDailyAggregates(\\n startDate: LocalDate,\\n endDate: LocalDate,\\n now: Instant,\\n zoneId: ZoneId,\\n granted: Set\\n ): JSONArray {\\n val arr = JSONArray()\\n val metrics = mutableSetOf>()\\n if (has(granted, StepsRecord::class)) metrics.add(StepsRecord.COUNT_TOTAL)\\n if (has(granted, DistanceRecord::class)) metrics.add(DistanceRecord.DISTANCE_TOTAL)\\n if (has(granted, FloorsClimbedRecord::class)) metrics.add(FloorsClimbedRecord.FLOORS_CLIMBED_TOTAL)\\n if (has(granted, ActiveCaloriesBurnedRecord::class)) metrics.add(ActiveCaloriesBurnedRecord.ACTIVE_CALORIES_TOTAL)\\n if (has(granted, TotalCaloriesBurnedRecord::class)) metrics.add(TotalCaloriesBurnedRecord.ENERGY_TOTAL)\\n if (metrics.isEmpty()) return arr\\n\\n val start = startDate.atStartOfDay(zoneId)\\n val end = minOf(endDate.plusDays(1).atStartOfDay(zoneId).toInstant(), now)\\n if (!start.toInstant().isBefore(end)) return arr\\n\\n val grouped = client.aggregateGroupByPeriod(\\n AggregateGroupByPeriodRequest(\\n metrics = metrics,\\n timeRangeFilter = TimeRangeFilter.between(start.toLocalDateTime(), end.atZone(zoneId).toLocalDateTime()),\\n timeRangeSlicer = Period.ofDays(1)\\n )\\n )\\n for (day in grouped) {\\n val localDate = day.startTime.toLocalDate()\\n val endInstant = minOf(day.endTime.atZone(zoneId).toInstant(), now)\\n arr.put(JSONObject().apply {\\n put(\\\"type\\\", \\\"daily_aggregate\\\")\\n put(\\\"local_date\\\", localDate.toString())\\n put(\\\"timezone\\\", zoneId.id)\\n put(\\\"period_start\\\", day.startTime.atZone(zoneId).toInstant().toString())\\n put(\\\"period_end\\\", endInstant.toString())\\n put(\\\"subject\\\", SUBJECT)\\n put(\\\"record_key\\\", \\\"daily_aggregate:$SUBJECT:$localDate\\\")\\n put(\\\"source\\\", \\\"health_connect\\\")\\n if (has(granted, StepsRecord::class)) put(\\\"steps\\\", day.result[StepsRecord.COUNT_TOTAL] ?: 0)\\n if (has(granted, DistanceRecord::class)) put(\\\"distance_m\\\", day.result[DistanceRecord.DISTANCE_TOTAL]?.inMeters ?: 0.0)\\n if (has(granted, FloorsClimbedRecord::class)) put(\\\"floors\\\", day.result[FloorsClimbedRecord.FLOORS_CLIMBED_TOTAL] ?: 0.0)\\n if (has(granted, ActiveCaloriesBurnedRecord::class)) put(\\\"active_kcal\\\", day.result[ActiveCaloriesBurnedRecord.ACTIVE_CALORIES_TOTAL]?.inKilocalories ?: 0.0)\\n if (has(granted, TotalCaloriesBurnedRecord::class)) put(\\\"total_kcal\\\", day.result[TotalCaloriesBurnedRecord.ENERGY_TOTAL]?.inKilocalories ?: 0.0)\\n })\\n }\\n return arr\\n }\\n\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n+++ b//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n@@ -184,57 +184,45 @@\\n granted: Set\\n ): JSONArray {\\n val arr = JSONArray()\\n- var date = startDate\\n- while (!date.isAfter(endDate)) {\\n- val start = date.atStartOfDay(zoneId)\\n- val end = minOf(start.plusDays(1).toInstant(), now)\\n- readAggregatedDay(date, start, end, zoneId, granted)?.let { arr.put(it) }\\n- date = date.plusDays(1)\\n- }\\n- return arr\\n- }\\n-\\n- private suspend fun readAggregatedDay(\\n- localDate: LocalDate,\\n- start: ZonedDateTime,\\n- end: Instant,\\n- zoneId: ZoneId,\\n- granted: Set\\n- ): JSONObject? {\\n- val startInstant = start.toInstant()\\n- val obj = JSONObject().apply {\\n- put(\\\"type\\\", \\\"daily_aggregate\\\")\\n- put(\\\"local_date\\\", localDate.toString())\\n- put(\\\"timezone\\\", zoneId.id)\\n- put(\\\"period_start\\\", startInstant.toString())\\n- put(\\\"period_end\\\", end.toString())\\n- put(\\\"subject\\\", SUBJECT)\\n- put(\\\"record_key\\\", \\\"daily_aggregate:$SUBJECT:$localDate\\\")\\n- put(\\\"source\\\", \\\"health_connect\\\")\\n- }\\n- if (!startInstant.isBefore(end)) return null\\n- if (has(granted, StepsRecord::class)) {\\n- client.aggregate(AggregateRequest(setOf(StepsRecord.COUNT_TOTAL), TimeRangeFilter.between(startInstant, end)))[StepsRecord.COUNT_TOTAL]\\n- ?.let { obj.put(\\\"steps\\\", it) } ?: obj.put(\\\"steps\\\", 0)\\n- }\\n- if (has(granted, DistanceRecord::class)) {\\n- client.aggregate(AggregateRequest(setOf(DistanceRecord.DISTANCE_TOTAL), TimeRangeFilter.between(startInstant, end)))[DistanceRecord.DISTANCE_TOTAL]\\n- ?.let { obj.put(\\\"distance_m\\\", it.inMeters) } ?: obj.put(\\\"distance_m\\\", 0.0)\\n- }\\n- if (has(granted, FloorsClimbedRecord::class)) {\\n- client.aggregate(AggregateRequest(setOf(FloorsClimbedRecord.FLOORS_CLIMBED_TOTAL), TimeRangeFilter.between(startInstant, end)))[FloorsClimbedRecord.FLOORS_CLIMBED_TOTAL]\\n- ?.let { obj.put(\\\"floors\\\", it) } ?: obj.put(\\\"floors\\\", 0.0)\\n- }\\n- if (has(granted, ActiveCaloriesBurnedRecord::class)) {\\n- client.aggregate(AggregateRequest(setOf(ActiveCaloriesBurnedRecord.ACTIVE_CALORIES_TOTAL), TimeRangeFilter.between(startInstant, end)))[ActiveCaloriesBurnedRecord.ACTIVE_CALORIES_TOTAL]\\n- ?.let { obj.put(\\\"active_kcal\\\", it.inKilocalories) } ?: obj.put(\\\"active_kcal\\\", 0.0)\\n- }\\n- if (has(granted, TotalCaloriesBurnedRecord::class)) {\\n- client.aggregate(AggregateRequest(setOf(TotalCaloriesBurnedRecord.ENERGY_TOTAL), TimeRangeFilter.between(startInstant, end)))[TotalCaloriesBurnedRecord.ENERGY_TOTAL]\\n- ?.let { obj.put(\\\"total_kcal\\\", it.inKilocalories) } ?: obj.put(\\\"total_kcal\\\", 0.0)\\n- }\\n-\\n- return obj\\n+ val metrics = mutableSetOf>()\\n+ if (has(granted, StepsRecord::class)) metrics.add(StepsRecord.COUNT_TOTAL)\\n+ if (has(granted, DistanceRecord::class)) metrics.add(DistanceRecord.DISTANCE_TOTAL)\\n+ if (has(granted, FloorsClimbedRecord::class)) metrics.add(FloorsClimbedRecord.FLOORS_CLIMBED_TOTAL)\\n+ if (has(granted, ActiveCaloriesBurnedRecord::class)) metrics.add(ActiveCaloriesBurnedRecord.ACTIVE_CALORIES_TOTAL)\\n+ if (has(granted, TotalCaloriesBurnedRecord::class)) metrics.add(TotalCaloriesBurnedRecord.ENERGY_TOTAL)\\n+ if (metrics.isEmpty()) return arr\\n+\\n+ val start = startDate.atStartOfDay(zoneId)\\n+ val end = minOf(endDate.plusDays(1).atStartOfDay(zoneId).toInstant(), now)\\n+ if (!start.toInstant().isBefore(end)) return arr\\n+\\n+ val grouped = client.aggregateGroupByPeriod(\\n+ AggregateGroupByPeriodRequest(\\n+ metrics = metrics,\\n+ timeRangeFilter = TimeRangeFilter.between(start.toLocalDateTime(), end.atZone(zoneId).toLocalDateTime()),\\n+ timeRangeSlicer = Period.ofDays(1)\\n+ )\\n+ )\\n+ for (day in grouped) {\\n+ val localDate = day.startTime.toLocalDate()\\n+ val endInstant = minOf(day.endTime.atZone(zoneId).toInstant(), now)\\n+ arr.put(JSONObject().apply {\\n+ put(\\\"type\\\", \\\"daily_aggregate\\\")\\n+ put(\\\"local_date\\\", localDate.toString())\\n+ put(\\\"timezone\\\", zoneId.id)\\n+ put(\\\"period_start\\\", day.startTime.atZone(zoneId).toInstant().toString())\\n+ put(\\\"period_end\\\", endInstant.toString())\\n+ put(\\\"subject\\\", SUBJECT)\\n+ put(\\\"record_key\\\", \\\"daily_aggregate:$SUBJECT:$localDate\\\")\\n+ put(\\\"source\\\", \\\"health_connect\\\")\\n+ if (has(granted, StepsRecord::class)) put(\\\"steps\\\", day.result[StepsRecord.COUNT_TOTAL] ?: 0)\\n+ if (has(granted, DistanceRecord::class)) put(\\\"distance_m\\\", day.result[DistanceRecord.DISTANCE_TOTAL]?.inMeters ?: 0.0)\\n+ if (has(granted, FloorsClimbedRecord::class)) put(\\\"floors\\\", day.result[FloorsClimbedRecord.FLOORS_CLIMBED_TOTAL] ?: 0.0)\\n+ if (has(granted, ActiveCaloriesBurnedRecord::class)) put(\\\"active_kcal\\\", day.result[ActiveCaloriesBurnedRecord.ACTIVE_CALORIES_TOTAL]?.inKilocalories ?: 0.0)\\n+ if (has(granted, TotalCaloriesBurnedRecord::class)) put(\\\"total_kcal\\\", day.result[TotalCaloriesBurnedRecord.ENERGY_TOTAL]?.inKilocalories ?: 0.0)\\n+ })\\n+ }\\n+ return arr\\n }\\n \\n // ── Heart Rate Samples ────────────────────────────────────\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"], \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .kt files\"}, \"_warning\": \"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt was last read with offset/limit pagination (partial view). 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com.healthbridge.app 1\",\"timeout\":180,\"workdir\":\"/home/ubuntu/health-bridge/android-app\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"Performing Streamed Install\\nSuccess\\n bash arg: -p\\n bash arg: com.healthbridge.app\\n bash arg: 1\\nargs: [-p, com.healthbridge.app, 1]\\n arg: \\\"-p\\\"\\n arg: \\\"com.healthbridge.app\\\"\\n arg: \\\"1\\\"\\ndata=\\\"com.healthbridge.app\\\"\\nEvents injected: 1\\n## Network stats: elapsed time=38ms (0ms mobile, 0ms wifi, 38ms not connected)\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_t19XIjqeudhZ1s3YT0W8396I", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": 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records across ${parts.size} yearly chunks. ${parts.takeLast(2).joinToString(\\\" | \\\")}\\\"\\n }\\n\\n suspend fun syncAll(): String = syncRecent()\\n\\n private suspend fun syncSince(requestedStartDate: LocalDate, label: String): String =\\n syncRange(requestedStartDate, LocalDate.now(ZoneId.systemDefault()), label)\\n\\n private suspend fun syncRange(requestedStartDate: LocalDate, requestedEndDate: LocalDate, label: String): String = withContext(Dispatchers.IO) {\",\"old_string\":\" suspend fun syncHistorical(): String = syncSince(LocalDate.of(2015, 1, 1), \\\"historical\\\")\\n\\n suspend fun syncAll(): String = syncRecent()\\n\\n private suspend fun syncSince(requestedStartDate: LocalDate, label: String): String = withContext(Dispatchers.IO) {\",\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n+++ b//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n@@ -96,11 +96,27 @@\\n \\n suspend fun syncYearToDate(): String = syncSince(LocalDate.of(2026, 1, 1), \\\"2026\\\")\\n \\n- suspend fun syncHistorical(): String = syncSince(LocalDate.of(2015, 1, 1), \\\"historical\\\")\\n+ suspend fun syncHistorical(): String = withContext(Dispatchers.IO) {\\n+ val today = LocalDate.now(ZoneId.systemDefault())\\n+ val parts = mutableListOf()\\n+ var total = 0\\n+ for (year in 2015..today.year) {\\n+ val from = LocalDate.of(year, 1, 1)\\n+ val to = if (year == today.year) today else LocalDate.of(year, 12, 31)\\n+ val result = syncRange(from, to, \\\"historical-$year\\\")\\n+ parts.add(result.take(120))\\n+ Regex(\\\"Sent (\\\\\\\\d+) records\\\").find(result)?.groupValues?.get(1)?.toIntOrNull()?.let { total += it }\\n+ if (!result.startsWith(\\\"OK\\\")) return@withContext result\\n+ }\\n+ \\\"OK [historical]: Sent/updated $total records across ${parts.size} yearly chunks. ${parts.takeLast(2).joinToString(\\\" | \\\")}\\\"\\n+ }\\n \\n suspend fun syncAll(): String = syncRecent()\\n \\n- private suspend fun syncSince(requestedStartDate: LocalDate, label: String): String = withContext(Dispatchers.IO) {\\n+ private suspend fun syncSince(requestedStartDate: LocalDate, label: String): String =\\n+ syncRange(requestedStartDate, LocalDate.now(ZoneId.systemDefault()), label)\\n+\\n+ private suspend fun syncRange(requestedStartDate: LocalDate, requestedEndDate: LocalDate, label: String): String = withContext(Dispatchers.IO) {\\n try {\\n val granted = client.permissionController.getGrantedPermissions()\\n if (granted.isEmpty()) {\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"], \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .kt files\"}}", "tool_call_id": "call_fXLWxViajl4OzyM1IrHByO0t", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_4ltSqzev4vgosfFYMDMaxHez", "call_id": "call_4ltSqzev4vgosfFYMDMaxHez", "response_item_id": "fc_06d034090aab91f3016a0ceba91b988194a0f229a16f78172c", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" val today = LocalDate.now(zoneId)\\n val endDate = minOf(requestedEndDate, today)\\n val startDate = minOf(requestedStartDate, endDate)\\n val start = startDate.atStartOfDay(zoneId).toInstant()\",\"old_string\":\" val today = LocalDate.now(zoneId)\\n val startDate = minOf(requestedStartDate, today)\\n val start = startDate.atStartOfDay(zoneId).toInstant()\",\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n+++ b//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n@@ -126,7 +126,8 @@\\n val now = Instant.now()\\n val zoneId = ZoneId.systemDefault()\\n val today = LocalDate.now(zoneId)\\n- val startDate = minOf(requestedStartDate, today)\\n+ val endDate = minOf(requestedEndDate, today)\\n+ val startDate = minOf(requestedStartDate, endDate)\\n val start = startDate.atStartOfDay(zoneId).toInstant()\\n val records = JSONArray()\\n \\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"], \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .kt files\"}}", "tool_call_id": "call_4ltSqzev4vgosfFYMDMaxHez", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_jlbj0HimRMn5NsItpiOmL6eQ", "call_id": "call_jlbj0HimRMn5NsItpiOmL6eQ", "response_item_id": "fc_06d034090aab91f3016a0cebaf89188194b1656ae2908ecf96", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" addAll(records, readDailyAggregates(startDate, endDate, now, zoneId, granted))\",\"old_string\":\" addAll(records, readDailyAggregates(startDate, today, now, zoneId, granted))\",\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n+++ b//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n@@ -131,7 +131,7 @@\\n val start = startDate.atStartOfDay(zoneId).toInstant()\\n val records = JSONArray()\\n \\n- addAll(records, readDailyAggregates(startDate, today, now, zoneId, granted))\\n+ addAll(records, readDailyAggregates(startDate, endDate, now, zoneId, granted))\\n if (has(granted, HeartRateRecord::class)) addAll(records, readHeartRateSamples(start, now))\\n if (has(granted, SleepSessionRecord::class)) addAll(records, readSleep(start, now))\\n if (has(granted, ExerciseSessionRecord::class)) addAll(records, readExercise(start, now))\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"], \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .kt files\"}}", "tool_call_id": "call_jlbj0HimRMn5NsItpiOmL6eQ", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDOu1ob76F1RmQrV9v8UnDHkTpoUE-xWRfK5UgGbFm6VaBBjTNbYr9aYJdF-BUrRl0N932jVuVoJbHyienSbpJvmgp851zpjVoJkYGgsHeyASmVlf6rY-ayy6ELhkaczwytrBTDdOStMHyTEQj66Tjd0CAakgvww6-PqKzHoNrFkEs-PPHWam22CavinpamvQKJUISDjG0huJJqojZTYtW_JcSlBGexS_IN6UnFuYUpLvZK0QcpEcyhWGM3KFuPMJCaiG_B34JmB6iX2eCqSAchIezocYp4RKxIHhwN2jZSnu9Gps-CwJ29UsX_TRzL2DdTi4dGDnljNXCHKH1QmgW5QFUyiHJCONbhzEsPYpRgebphvfb5DXCFCAi6jmudguGC6SEWkWouXJvpvBgs0vypIABOz9GHOoZWO53LFWIMKePPlKpgCDkn5q7jFHYdPs4SvUTxgK5Rs3hQVaPGY2DCHIBJgRL_uCpFf_26rocWxp9pUMMD7wuRIHVFj8ocpxjDgYgNgC_QKTOpqTlZ4sHmR-K81YpDjqS2PoOqtT_E4kTybSwpg18tSl3Zbmp-IpTYNgHh2MoMB-Pg2tgxdVpJVh9g4KNF1JU-wMbaCA8bci0Js-PGldp9Wz_8yeoPHGrGfajktCNMqYws3VEVClQbPgwDfCFMlPGC9x_5Yth2gf4wYYioTclESo2dvXG8csZPRakE3T1tcDCLjWbPDNTdfCDL1wOmhOWimdhfyuq0eXqrHVX0PIVb7f4WMcxSvjFNiCS1PSjROxCkNSD8TN2P17mS6W3xp8M8JwugL-jvDO9iBvQujRQEZXLtCbpK_p1TrXtPC5iKMJSRUiuRapLSaGOSrK3AsmQVUgE89XlV3Is0BpdCu41tNVBKgFN6yA4P8fVQkbdNSYSbajTYZe_19Zh7Hxqxbb7Yb3sAj69w5rWhxyLD7ztObfP5t3XnfOvvrlVsBfaGW_vbHDIYXT3E7aLFLznWlFqpzuqbPFyDECdW30eOxJo4D2AFHauL_ttdxl", "id": "rs_06d034090aab91f3016a0cebb4d32c819493306deeff372ac6", "summary": []}], "tool_calls": [{"id": "call_zN1BeMfhRujKADbssoE29M52", "call_id": "call_zN1BeMfhRujKADbssoE29M52", "response_item_id": "fc_06d034090aab91f3016a0cebb595748194a75c557589750b69", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" val start = startDate.atStartOfDay(zoneId).toInstant()\\n val rangeEnd = minOf(endDate.plusDays(1).atStartOfDay(zoneId).toInstant(), now)\\n val records = JSONArray()\\n\\n addAll(records, readDailyAggregates(startDate, endDate, now, zoneId, granted))\\n if (has(granted, HeartRateRecord::class)) addAll(records, readHeartRateSamples(start, rangeEnd))\\n if (has(granted, SleepSessionRecord::class)) addAll(records, readSleep(start, rangeEnd))\\n if (has(granted, ExerciseSessionRecord::class)) addAll(records, readExercise(start, rangeEnd))\\n addAll(records, readVitals(start, rangeEnd, granted))\\n addAll(records, readBody(start, rangeEnd, granted))\\n addAll(records, readNutrition(start, rangeEnd, granted))\",\"old_string\":\" val start = startDate.atStartOfDay(zoneId).toInstant()\\n val records = JSONArray()\\n\\n addAll(records, readDailyAggregates(startDate, endDate, now, zoneId, granted))\\n if (has(granted, HeartRateRecord::class)) addAll(records, readHeartRateSamples(start, now))\\n if (has(granted, SleepSessionRecord::class)) addAll(records, readSleep(start, now))\\n if (has(granted, ExerciseSessionRecord::class)) addAll(records, readExercise(start, now))\\n addAll(records, readVitals(start, now, granted))\\n addAll(records, readBody(start, now, granted))\\n addAll(records, readNutrition(start, now, granted))\",\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n+++ b//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n@@ -129,15 +129,16 @@\\n val endDate = minOf(requestedEndDate, today)\\n val startDate = minOf(requestedStartDate, endDate)\\n val start = startDate.atStartOfDay(zoneId).toInstant()\\n+ val rangeEnd = minOf(endDate.plusDays(1).atStartOfDay(zoneId).toInstant(), now)\\n val records = JSONArray()\\n \\n addAll(records, readDailyAggregates(startDate, endDate, now, zoneId, granted))\\n- if (has(granted, HeartRateRecord::class)) addAll(records, readHeartRateSamples(start, now))\\n- if (has(granted, SleepSessionRecord::class)) addAll(records, readSleep(start, now))\\n- if (has(granted, ExerciseSessionRecord::class)) addAll(records, readExercise(start, now))\\n- addAll(records, readVitals(start, now, granted))\\n- addAll(records, readBody(start, now, granted))\\n- addAll(records, readNutrition(start, now, granted))\\n+ if (has(granted, HeartRateRecord::class)) addAll(records, readHeartRateSamples(start, rangeEnd))\\n+ if (has(granted, SleepSessionRecord::class)) addAll(records, readSleep(start, rangeEnd))\\n+ if (has(granted, ExerciseSessionRecord::class)) addAll(records, readExercise(start, rangeEnd))\\n+ addAll(records, readVitals(start, rangeEnd, granted))\\n+ addAll(records, readBody(start, rangeEnd, granted))\\n+ addAll(records, readNutrition(start, rangeEnd, granted))\\n \\n if (records.length() == 0) {\\n return@withContext \\\"OK [$label]: No new data from ${granted.size} granted permissions\\\"\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"], \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .kt files\"}}", "tool_call_id": "call_zN1BeMfhRujKADbssoE29M52", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_nvqhNAComoIW9mrLa6d1lXBs", "call_id": "call_nvqhNAComoIW9mrLa6d1lXBs", "response_item_id": "fc_06d034090aab91f3016a0cebc2162481949daf8ec6fed9ba21", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" \\\"OK [$label]: Sent ${records.length()} records from $startDate to $endDate. $httpResult\\\"\",\"old_string\":\" \\\"OK [$label]: Sent ${records.length()} records from $startDate to $today. $httpResult\\\"\",\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n+++ b//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n@@ -151,7 +151,7 @@\\n }\\n val httpResult = postJson(SERVER_URL, body, AUTH_TOKEN)\\n if (!httpResult.startsWith(\\\"HTTP 2\\\")) return@withContext \\\"ERROR: Upload failed. $httpResult\\\"\\n- \\\"OK [$label]: Sent ${records.length()} records from $startDate to $today. $httpResult\\\"\\n+ \\\"OK [$label]: Sent ${records.length()} records from $startDate to $endDate. $httpResult\\\"\\n \\n } catch (e: Exception) {\\n Log.e(\\\"HealthBridge\\\", \\\"Sync failed\\\", e)\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"], \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .kt files\"}}", "tool_call_id": "call_nvqhNAComoIW9mrLa6d1lXBs", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_cfMH8UsTOgZn5NsSwE3IbVmM", "call_id": "call_cfMH8UsTOgZn5NsSwE3IbVmM", "response_item_id": "fc_06d034090aab91f3016a0cebc814048194b61c3d980f3f8aca", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"./gradlew assembleDebug --no-daemon && cp app/build/outputs/apk/debug/app-debug.apk /home/ubuntu/health-bridge/static/health-bridge.apk && adb -s 100.111.239.9:46079 install -r /home/ubuntu/health-bridge/static/health-bridge.apk && adb -s 100.111.239.9:46079 shell monkey -p com.healthbridge.app 1\",\"timeout\":600,\"workdir\":\"/home/ubuntu/health-bridge/android-app\"}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"To honour the JVM settings for this build a single-use Daemon process will be forked. For more on this, please refer to https://docs.gradle.org/8.11.1/userguide/gradle_daemon.html#sec:disabling_the_daemon in the Gradle documentation.\\nDaemon will be stopped at the end of the build \\n> Task :app:preBuild UP-TO-DATE\\n> Task :app:preDebugBuild UP-TO-DATE\\n> Task :app:mergeDebugNativeDebugMetadata NO-SOURCE\\n> Task :app:checkKotlinGradlePluginConfigurationErrors SKIPPED\\n> Task :app:checkDebugAarMetadata UP-TO-DATE\\n> Task :app:generateDebugResValues UP-TO-DATE\\n> Task :app:mapDebugSourceSetPaths UP-TO-DATE\\n> Task :app:generateDebugResources UP-TO-DATE\\n> Task :app:mergeDebugResources UP-TO-DATE\\n> Task :app:packageDebugResources UP-TO-DATE\\n> Task :app:parseDebugLocalResources UP-TO-DATE\\n> Task :app:createDebugCompatibleScreenManifests UP-TO-DATE\\n> Task :app:extractDeepLinksDebug UP-TO-DATE\\n> Task :app:processDebugMainManifest UP-TO-DATE\\n> Task :app:processDebugManifest UP-TO-DATE\\n> Task :app:processDebugManifestForPackage UP-TO-DATE\\n> Task :app:processDebugResources UP-TO-DATE\\n> Task :app:javaPreCompileDebug UP-TO-DATE\\n> Task :app:mergeDebugShaders UP-TO-DATE\\n> Task :app:compileDebugShaders NO-SOURCE\\n> Task :app:generateDebugAssets UP-TO-DATE\\n> Task :app:mergeDebugAssets UP-TO-DATE\\n> Task :app:compressDebugAssets UP-TO-DATE\\n> Task :app:desugarDebugFileDependencies UP-TO-DATE\\n> Task :app:checkDebugDuplicateClasses UP-TO-DATE\\n> Task :app:mergeExtDexDebug UP-TO-DATE\\n> Task :app:mergeLibDexDebug UP-TO-DATE\\n> Task :app:mergeDebugJniLibFolders UP-TO-DATE\\n> Task :app:mergeDebugNativeLibs NO-SOURCE\\n> Task :app:stripDebugDebugSymbols NO-SOURCE\\n> Task :app:validateSigningDebug UP-TO-DATE\\n> Task :app:writeDebugAppMetadata UP-TO-DATE\\n> Task :app:writeDebugSigningConfigVersions UP-TO-DATE\\n> Task :app:compileDebugKotlin\\n> Task :app:compileDebugJavaWithJavac NO-SOURCE\\n> Task :app:dexBuilderDebug\\n> Task :app:mergeDebugGlobalSynthetics UP-TO-DATE\\n> Task :app:processDebugJavaRes UP-TO-DATE\\n> Task :app:mergeDebugJavaResource UP-TO-DATE\\n> Task :app:mergeProjectDexDebug\\n> Task :app:packageDebug\\n> Task :app:createDebugApkListingFileRedirect UP-TO-DATE\\n> Task :app:assembleDebug\\n\\nBUILD SUCCESSFUL in 17s\\n33 actionable tasks: 4 executed, 29 up-to-date\\nPerforming Streamed Install\\nSuccess\\n bash arg: -p\\n bash arg: com.healthbridge.app\\n bash arg: 1\\nargs: [-p, com.healthbridge.app, 1]\\n arg: \\\"-p\\\"\\n arg: \\\"com.healthbridge.app\\\"\\n arg: \\\"1\\\"\\ndata=\\\"com.healthbridge.app\\\"\\nEvents injected: 1\\n## Network stats: elapsed time=52ms (0ms mobile, 0ms wifi, 52ms not connected)\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_cfMH8UsTOgZn5NsSwE3IbVmM", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_db3iabLxcp0KalmwNLL9epzf", "call_id": "call_db3iabLxcp0KalmwNLL9epzf", "response_item_id": "fc_06d034090aab91f3016a0cebe6843c8194854bf30d03f00d99", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"adb -s 100.111.239.9:46079 shell input tap 540 1450 && for i in $(seq 1 60); do sleep 5; adb -s 100.111.239.9:46079 shell uiautomator dump /sdcard/window.xml >/dev/null 2>&1; adb -s 100.111.239.9:46079 shell cat /sdcard/window.xml > /tmp/hb_window.xml; txt=$(python3 - <<'PY'\\nimport re,html\\ns=open('/tmp/hb_window.xml').read()\\nm=re.search(r'text=(?:\\\"([^\\\"]*)\\\"|\\\\'([^\\\\']*)\\\\') resource-id=\\\"com.healthbridge.app:id/status_text\\\"', s)\\nprint(html.unescape((m.group(1) or m.group(2)) if m else 'NO_STATUS'))\\nPY\\n); echo \\\"$i $txt\\\"; case \\\"$txt\\\" in OK*|ERROR*) break;; esac; done\",\"timeout\":360}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"1 Syncing...\\n2 Syncing...\\n3 Syncing...\\n4 Syncing...\\n5 Syncing...\\n6 OK [historical]: Sent/updated 4233 records across 12 yearly chunks. OK [historical-2025]: Sent 365 records from 2025-01-01 to 2025-12-31. HTTP 200: {\\\"status\\\":\\\"ok\\\",\\\"records\\\":365,\\\"dates_rebu | OK [historical-2026]: Sent 215 records from 2026-01-01 to 2026-05-19. HTTP 200: {\\\"status\\\":\\\"ok\\\",\\\"records\\\":215,\\\"dates_rebu\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_db3iabLxcp0KalmwNLL9epzf", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_N3XlqBAKnfKtMtsu7C0ypRmc", "call_id": "call_N3XlqBAKnfKtMtsu7C0ypRmc", "response_item_id": "fc_06d034090aab91f3016a0cec1d8a94819488656506c2c466f9", "type": "function", "function": {"name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Build/install APK histórico y ejecutar import\",\"id\":\"deploy\",\"status\":\"completed\"},{\"content\":\"Verificar rango histórico importado y confirmar sync diario\",\"id\":\"verifyhist\",\"status\":\"in_progress\"}]}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"verify2026\", \"content\": \"Verificar import 2026 y estado actual de DB\", \"status\": \"completed\"}, {\"id\": \"historical\", \"content\": \"Cambiar app para importar histórico completo, no solo 2026\", \"status\": \"completed\"}, {\"id\": \"deploy\", \"content\": \"Build/install APK histórico y ejecutar import\", \"status\": \"completed\"}, {\"id\": \"verifyhist\", \"content\": \"Verificar rango histórico importado y confirmar sync diario\", \"status\": \"in_progress\"}], \"summary\": {\"total\": 4, \"pending\": 0, \"in_progress\": 1, \"completed\": 3, \"cancelled\": 0}}", "tool_call_id": "call_N3XlqBAKnfKtMtsu7C0ypRmc", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_EMEvDDRKDG4pPs9R0MBIalaN", "call_id": "call_EMEvDDRKDG4pPs9R0MBIalaN", "response_item_id": "fc_06d034090aab91f3016a0cec207aa88194824027c0d5fecde7", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python3 - <<'PY'\\nimport sqlite3\\ncon=sqlite3.connect('/home/ubuntu/health-bridge/health.db')\\nprint('daily_summary', con.execute('select min(date), max(date), count(*) from daily_summary where subject=?',('chicho',)).fetchone())\\nfor row in con.execute('select substr(date,1,4) y, count(*), sum(case when steps>0 then 1 else 0 end), max(steps), cast(avg(nullif(steps,0)) as int) from daily_summary where subject=? group by y order by y',('chicho',)):\\n print(row)\\nprint('\\\\nraw types')\\nfor row in con.execute('select data_type, min(local_date), max(local_date), count(*) from raw_data where subject=? group by data_type order by data_type',('chicho',)):\\n print(row)\\nPY\",\"timeout\":180}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"daily_summary ('2015-01-01', '2026-05-19', 4157)\\n('2015', 365, 0, 0, None)\\n('2016', 366, 0, 0, None)\\n('2017', 365, 0, 0, None)\\n('2018', 365, 0, 0, None)\\n('2019', 365, 0, 0, None)\\n('2020', 366, 0, 0, None)\\n('2021', 365, 0, 0, None)\\n('2022', 365, 0, 0, None)\\n('2023', 365, 0, 0, None)\\n('2024', 366, 0, 0, None)\\n('2025', 365, 0, 0, None)\\n('2026', 139, 32, 22089, 11325)\\n\\nraw types\\n('aggregated', '2026-05-11', '2026-05-11', 1)\\n('daily_aggregate', '2015-01-01', '2026-05-19', 4157)\\n('exercise', '2026-05-04', '2026-05-19', 85)\\n('heart_rate', None, None, 2)\\n('steps', '2026-05-17', '2026-05-17', 1)\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_EMEvDDRKDG4pPs9R0MBIalaN", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDOwpnuzVhVnoSnhFy_2h8A4CCsk00exW2xFGSNq3gYcjWA9gK9f00tLzhMmXB8xyhmJ3tjwaRphXVOMnQnp0Ay7_HFrdsZsQH1UV7HW2FGJhEF9hxcqAgknkMyRkdga0RM5uvdBS9gav-1JTdKKiVa57xRdKAnaD5Nn-QtAXJdux8qmoaZtQ_1D-Miiu2_UMtb2uMWC85rx3LmeTB_lV22TBVvVDsSOvIR35dd9AU575M1fKApBPYWYRsXR-db-hK1XkdZcFtjzBUtE0g_9k7bIKF5rRo91hM7zlw74-fVRpHwV9T-ZqJxgBCXG7EuX38e9U-v1w38Vmq9Fbr28e-H1WhYMeFs-lUQK3shtlGceu36HPFzH_52yazq4kdSy4bCabjdwpIlxPkKeAelDjWZCPt61B33ts7hK_oc6_TSXwR2_THqB6VmyZJLmfJKrUTf2aNBSkvwdc1dtZMvFgFCJXqaeCnBMIIdZOMIoz_sg5av7tViFKxGNKN49_9SGQjnp945rizxD22JX8I3nstVAXX8b3dDzW8k49pMWapwyEtL_fN5sdEm42G-eeTmwcsE3LtBBWmbnqhwdkHl_TydzHlzWxvr6qEStKkOVuR_lgqMEzl8aWzTN_OAgfX0SF-ySqyRXKZ3OokDfVyXloo575cN-dszISNFfrcD-imevGAEzpsj2hYm1-F7-nEoY2j7IQ4W3rwGmxyp9q6tTIUzpAsyS0BrQjIw3KwZfFc7gMe9DPDk0iMNXx3llH2_KvoadLOffhnaUTAp1bwUBpX5L8A34DxI62DVFqvRLJHhFQXf5SM7_Jh2zkQF6rA43wy8O99fhYSuRG7lMxsQz-LgL2Fe4SS1DD4ZHfMlwKMf9YSEWF7h6cAMZ5K8sonP6xCjKXf4sOFZI9-XwzUD65sD6HDxkuiFslOIuExSEH1Ks71y42dksGxgFzExtfwo6lBvcGZjvDdN8rhKthwe-Tjj6D-tG1nNxC7U-PmAtIWhGdt1cPElvjY6MT4T4qCnOdI-9hgvHvHq9mkBYWYfJX0Gc4Jg4WZdzzSIuHddJ3ho5q2BY2eDrHGeMXSEQWBgFvgiG-F6kbu8272YTY7V62LyjuFtmB5K9P2hIwgpfwZsBp0WMbaxTinVrYfSQRo2y1iBHCbllmqQd37hFWmrWHeDIFNtfpWL9_WSrRKOYtkGrx4xA0tVDQQvxEPWrN8vyhkPqOFTh5SzTC8p7L8sHFBBhGfiwIxQ0LOR9zKj7AThyhB7xKF7mhw3uaoBVIKT8poPjEteV1iaH_c9nzL3jCLh9hOWMSBVFoQvj0W0wx5y8vNPcJEZ2cm3ZCvZEMrrsuk_V8Ee5SJXbtqepNig87LCS0p39nHTbpz95D741A82g7CQNm8V18zDkKoOGtCIGWe7is4oFkD8lI8LBWKO9Gp_9iFdB6QadEyui5QLwWYZ6HvQUzOf0V3Epfe9PWJmOnFT_d-4cgR-pOTfuhmeFhOfbAH2-5-XU3lJWCG5Lt62c2_BXHQL2_ek1kRLNutr2DLHrDDgymT3Q1-rOCf_X-X44aevXkbQIdUBauVKNidx7cS0mdeb__-yW8z24_eOgEI6i4n4DRRmzuAKC1cL6rxpbiOKG0PG6fVg6pUXjp5Q-GB-3EiUPqkIrQS2KLC0STnOW9IanG-22RIFTOJ2rfCxbdgVxQ_cMrQE86ZuhYxS3oW6_tz48reuctLRovI__p7bDV", "id": "rs_06d034090aab91f3016a0cec2756188194b2026ff06d28c730", "summary": []}], "tool_calls": [{"id": "call_SbcLdYqHVOsrxR6JaUijZz9i", "call_id": "call_SbcLdYqHVOsrxR6JaUijZz9i", "response_item_id": "fc_06d034090aab91f3016a0cec29e4048194a2f44062e56c6e91", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"adb -s 100.111.239.9:46079 shell dumpsys jobscheduler | grep -A12 -B4 healthbridge | head -80\",\"timeout\":60}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"<0>com.github.android::anr:\\n expirationTime=450922700, windowSizeMs=21600000, countLimit=3, countInWindow=0, inQuotaTime=0\\n <0>com.github.android::timeout-total:\\n expirationTime=450922700, windowSizeMs=86400000, countLimit=10, countInWindow=0, inQuotaTime=0\\n <0>com.healthbridge.app::timeout-reg:\\n expirationTime=454658442, windowSizeMs=86400000, countLimit=3, countInWindow=0, inQuotaTime=0\\n <0>com.healthbridge.app::.schedulePersisted():\\n expirationTime=454332305, windowSizeMs=60000, countLimit=250, countInWindow=0, inQuotaTime=0\\n <0>com.healthbridge.app::anr:\\n expirationTime=454332305, windowSizeMs=21600000, countLimit=3, countInWindow=0, inQuotaTime=0\\n <0>com.healthbridge.app::timeout-total:\\n expirationTime=454332305, windowSizeMs=86400000, countLimit=10, countInWindow=0, inQuotaTime=0\\n <0>com.google.android.apps.safetyhub::timeout-reg:\\n expirationTime=433995962, windowSizeMs=86400000, countLimit=3, countInWindow=0, inQuotaTime=0\\n <0>com.google.android.apps.safetyhub::.schedulePersisted():\\n expirationTime=9223372036854775807, windowSizeMs=60000, countLimit=250, countInWindow=0, inQuotaTime=0\\n <0>com.google.android.apps.safetyhub::anr:\\n expirationTime=432304287, windowSizeMs=21600000, countLimit=3, countInWindow=0, inQuotaTime=0\\n <0>com.google.android.apps.safetyhub::timeout-total:\\n expirationTime=432304287, windowSizeMs=86400000, countLimit=10, countInWindow=0, inQuotaTime=0\\n <0>com.google.ar.core::timeout-reg:\\n expirationTime=434326566, windowSizeMs=86400000, countLimit=3, countInWindow=0, inQuotaTime=0\\n <0>com.google.ar.core::.schedulePersisted():\\n--\\n Enqueue time: -9h54m46s797ms\\n Run time: earliest=-7h54m47s463ms, latest=none, original latest=none\\n Restricted due to: none.\\n Ready: false (job=false user=true !restricted=true !pending=true !active=true !backingup=true comp=true)\\n JOB #u0a632/18: 7cd8ee0 com.healthbridge.app/androidx.work.impl.background.systemjob.SystemJobService\\n u0a632 tag=*job*r/com.healthbridge.app/androidx.work.impl.background.systemjob.SystemJobService\\n Source: uid=u0a632 user=0 pkg=com.healthbridge.app\\n JobInfo:\\n Service: com.healthbridge.app/androidx.work.impl.background.systemjob.SystemJobService\\n Priority: 300 [DEFAULT]\\n Requires: charging=false batteryNotLow=false deviceIdle=false\\n Has media backup exemption=false \\n Extras: mParcelledData.dataSize=248\\n Network type: NetworkRequest [ NONE id=0, [ Capabilities: INTERNET&TRUSTED&VALIDATED&NOT_VCN_MANAGED&NOT_BANDWIDTH_CONSTRAINED Uid: 10632 UnderlyingNetworks: Null] ]\\n Minimum latency: +23h59m59s992ms\\n Backoff: policy=1 initial=+30s0ms\\n Has early constraint\\n Required constraints: TIMING_DELAY CONNECTIVITY FLEXIBILITY [0x90200000]\\n Dynamic constraints:\\n Satisfied constraints: CONNECTIVITY FLEXIBILITY DEVICE_NOT_DOZING BACKGROUND_NOT_RESTRICTED WITHIN_QUOTA [0x13600000]\\n Unsatisfied constraints: TIMING_DELAY [0x80000000]\\n--\\n JobStatus{6ff0bd6 #u0a172/3890 com.google.android.apps.scone/.checkin.CheckinJobService u=0 s=10172 TIME=+13h30m2s146ms:none satisfied:0x3600000 unsatisfied:0x80000000}: 472654123\\n JobStatus{f9ec1bb androidx.work.systemjobscheduler:u0a375/58724 #GnpWorker#@androidx.work.systemjobscheduler@com.google.android.apps.fitness/androidx.work.impl.background.systemjob.SystemJobService u=0 s=10375 TIME=+16h53m26s823ms:none NET satisfied:0x3600000 unsatisfied:0x90000000}: 470098800\\n JobStatus{42382ca SyncManager:1000/112 @SyncManager@com.android.calendar/com.google:android u=0 s=10213 TIME=+11h15m33s291ms:+12h27m33s291ms NET STORENOTLOW PERIODIC PERSISTED satisfied:0x13600008 unsatisfied:0x80000000}: 459545268\\n JobStatus{e7a1ba SyncManager:1000/198 @SyncManager@com.google.android.gms.subscribedfeeds/com.google:android u=0 s=10178 TIME=+12h38m55s92ms:+13h50m55s92ms NET STORENOTLOW PERIODIC PERSISTED satisfied:0x13600008 unsatisfied:0x80000000}: 477147069\\n JobStatus{7cd8ee0 #u0a632/18 com.healthbridge.app/androidx.work.impl.background.systemjob.SystemJobService u=0 s=10632 TIME=+23h58m52s75ms:none NET satisfied:0x13600000 unsatisfied:0x80000000}: 476364052\\n JobStatus{26a7c8 androidx.work.systemjobscheduler:u0a272/8799 #DeviceStorageStateMetricsCollector#@androidx.work.systemjobscheduler@com.google.android.providers.media.module/androidx.work.impl.background.systemjob.SystemJobService u=0 s=10272 TIME=+2d0h48m47s548ms:none CHARGING IDLE satisfied:0x3600003 unsatisfied:0x80000004}: 565759525\\n JobStatus{786b85d androidx.work.systemjobscheduler:u0a179/22238 #TikTokWorker#com.google.android.apps.search.googleapp.discover.sync.FeedSync#@androidx.work.systemjobscheduler@com.google.android.googlequicksearchbox/androidx.work.impl.background.systemjob.SystemJobService u=0 s=10179 TIME=+22h12m39s28ms:none NET satisfied:0x13600000 unsatisfied:0x80000000}: 489791005\\n JobStatus{9a3ee72 SyncManager:1000/417 @SyncManager@com.android.contacts/com.google:android u=0 s=10178 TIME=+1d20h52m53s176ms:+2d5h16m53s176ms NET STORENOTLOW PERIODIC PERSISTED satisfied:0x13600008 unsatisfied:0x80000000}: 551605153\\n JobStatus{8c8dbe #u0a213/111007999 com.google.android.calendar/com.google.android.libraries.notifications.entrypoints.scheduled.ScheduledTaskService u=0 s=10213 TIME=+13h50m28s85ms:+1d13h50m28s85ms NET PERIODIC PERSISTED satisfied:0x13600000 unsatisfied:0x80000000}: 461460062\\n JobStatus{ff4a103 androidx.work.systemjobscheduler:u0a202/555055247 #LPBJ_CHARGING_ONLY_WORKER#@androidx.work.systemjobscheduler@com.google.android.apps.photos/androidx.work.impl.background.systemjob.SystemJobService u=0 s=10202 TIME=+22h50m39s995ms:none CHARGING satisfied:0x3600003 unsatisfied:0x80000000}: 504851972\\n JobStatus{2793989 #u0a154/202 com.google.android.apps.turbo/.deadline.library.DeadlineUpdateJobService u=0 s=10154 URIS=[android.app.job.JobInfo$TriggerContentUri@74bf28f] satisfied:0x3600000 unsatisfied:0x4000000}: 497999174\\n JobStatus{7e95757 SyncManager:1000/248 @SyncManager@com.android.contacts/com.google:android u=0 s=10178 TIME=+12h19m31s775ms:+13h31m31s775ms NET STORENOTLOW PERIODIC PERSISTED satisfied:0x13600008 unsatisfied:0x80000000}: 472203752\\n JobStatus{c13be4a androidx.work.systemjobscheduler:u0a375/58703 #TikTokWorker#com.google.android.apps.fitness.data.privacycenter.syncer.ConsentsDownsyncWorker#@androidx.work.systemjobscheduler@com.google.android.apps.fitness/androidx.work.impl.background.systemjob.SystemJobService u=0 s=10375 TIME=+15h28m36s159ms:none NET satisfied:0x13600000 unsatisfied:0x80000000}: 465008136\\n JobStatus{5922a5d SyncManager:1000/427 @SyncManager@com.android.contacts/com.google:android u=0 s=10178 TIME=+10h19m26s86ms:+11h31m26s86ms NET STORENOTLOW PERIODIC PERSISTED satisfied:0x13600008 unsatisfied:0x80000000}: 464278063\\n JobStatus{4921a41 androidx.work.systemjobscheduler:u0a282/435501 #UserEducationWorker#@androidx.work.systemjobscheduler@com.fitbit.FitbitMobile/androidx.work.impl.background.systemjob.SystemJobService u=0 s=10282 TIME=+2h20m16s126ms:none satisfied:0x3600000 unsatisfied:0x80000000}: 480348103\\n JobStatus{72ec713 SyncManager:1000/349 @SyncManager@com.google.android.calendar.tasks/com.google:android u=0 s=10213 TIME=+10h59m42s965ms:+12h11m42s965ms NET STORENOTLOW PERIODIC PERSISTED satisfied:0x13600008 unsatisfied:0x80000000}: 453194942\\n JobStatus{8fc55c7 SyncManager:1000/143 @SyncManager@com.google.android.gms.chromesync/com.google:android u=0 s=10178 TIME=+10h53m5s24ms:+12h5m5s24ms NET STORENOTLOW PERIODIC PERSISTED satisfied:0x13600008 unsatisfied:0x80000000}: 466837001\\n--\\n IS_UID_ACTIVE_RAW: count=13742, total=2774.7ms, avg=0.202ms, max calls/s=26 max dur/s=32.2ms max time=32.2ms\\n \\n Stopped packages:\\n 10635:ar.pasito.pasito=false\\n 10632:com.healthbridge.app=false\\n 10630:com.github.android=false\\n 10624:notion.id=false\\n 10623:com.openparkux=false\\n 10621:com.google.android.apps.chromecast.app=false\\n 10619:com.tailscale.ipn=false\\n 10618:com.macro.banco.ar=false\\n 10610:com.buenprovecho=false\\n 10588:com.linkedin.android=false\\n 10587:com.samsung.android.oneconnect=false\\n 10586:com.kieronquinn.app.utag=false\\n 10585:com.red.by.dufry=false\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_SbcLdYqHVOsrxR6JaUijZz9i", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_eiJ7aYrSdehDLUQsMESS3T2D", "call_id": "call_eiJ7aYrSdehDLUQsMESS3T2D", "response_item_id": "fc_06d034090aab91f3016a0cec327ddc8194b95fb30cdcdedd73", "type": "function", "function": {"name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Verificar rango histórico importado y confirmar sync diario\",\"id\":\"verifyhist\",\"status\":\"completed\"}]}"}}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"verify2026\", \"content\": \"Verificar import 2026 y estado actual de DB\", \"status\": \"completed\"}, {\"id\": \"historical\", \"content\": \"Cambiar app para importar histórico completo, no solo 2026\", \"status\": \"completed\"}, {\"id\": \"deploy\", \"content\": \"Build/install APK histórico y ejecutar import\", \"status\": \"completed\"}, {\"id\": \"verifyhist\", \"content\": \"Verificar rango histórico importado y confirmar sync diario\", \"status\": \"completed\"}], \"summary\": {\"total\": 4, \"pending\": 0, \"in_progress\": 0, \"completed\": 4, \"cancelled\": 0}}", "tool_call_id": "call_eiJ7aYrSdehDLUQsMESS3T2D", "timestamp": "2026-05-19T23:03:27.985204"} {"role": "assistant", "content": "Sí. Hice dos cosas:\n\n1. **Import 2026**\n - Entró bien:\n ```txt\n daily_summary: 2026-01-01 → 2026-05-19\n 139 días\n ```\n\n2. **Import histórico completo desde Health Connect**\n - Cambié la app a botón **Import All**.\n - Primer intento histórico explotó por límite interno de Health Connect:\n ```txt\n API call quota exceeded\n TransactionTooLargeException\n ```\n - Lo arreglé importando por chunks anuales y usando `aggregateGroupByPeriod` en vez de consultar día por día.\n - Rebuild + install en el Pixel.\n - Ejecuté import histórico.\n\nResultado:\n\n```txt\nOK [historical]: Sent/updated 4233 records across 12 yearly chunks\n```\n\nDB actual:\n\n```txt\ndaily_summary: 2015-01-01 → 2026-05-19\n4157 días\n```\n\nPero dato importante: **Health Connect solo devolvió pasos reales para 2026**.\n\nResumen por año:\n\n```txt\n2015 365 días, pasos con data: 0\n2016 366 días, pasos con data: 0\n2017 365 días, pasos con data: 0\n2018 365 días, pasos con data: 0\n2019 365 días, pasos con data: 0\n2020 366 días, pasos con data: 0\n2021 365 días, pasos con data: 0\n2022 365 días, pasos con data: 0\n2023 365 días, pasos con data: 0\n2024 366 días, pasos con data: 0\n2025 365 días, pasos con data: 0\n2026 139 días, pasos con data: 32\n```\n\nInterpretación: **ya importé todo lo que Health Connect expone hoy**, pero tu histórico viejo de pasos probablemente vive en **Google Fit/Fitbit cloud**, no en el store local de Health Connect del Pixel.\n\nY sí: confirmé el sync automático.\n\n```txt\ncom.healthbridge.app WorkManager job\nMinimum latency: +23h59m...\nNetwork required\n```\n\nO sea: **Health Bridge queda sync every 24hs de ahora en más**, y ese sync diario usa el modo reciente, no el import histórico pesado.\n\nPara traer “todo todo” posta de años anteriores, el siguiente paso real es **Google Fit REST API con OAuth** o Fitbit API si hay cuenta/cloud. Health Connect ya quedó exprimido.", "reasoning": null, "finish_reason": "stop", "codex_message_items": [{"type": "message", "role": "assistant", "status": "completed", "content": [{"type": "output_text", "text": "Sí. Hice dos cosas:\n\n1. **Import 2026**\n - Entró bien:\n ```txt\n daily_summary: 2026-01-01 → 2026-05-19\n 139 días\n ```\n\n2. **Import histórico completo desde Health Connect**\n - Cambié la app a botón **Import All**.\n - Primer intento histórico explotó por límite interno de Health Connect:\n ```txt\n API call quota exceeded\n TransactionTooLargeException\n ```\n - Lo arreglé importando por chunks anuales y usando `aggregateGroupByPeriod` en vez de consultar día por día.\n - Rebuild + install en el Pixel.\n - Ejecuté import histórico.\n\nResultado:\n\n```txt\nOK [historical]: Sent/updated 4233 records across 12 yearly chunks\n```\n\nDB actual:\n\n```txt\ndaily_summary: 2015-01-01 → 2026-05-19\n4157 días\n```\n\nPero dato importante: **Health Connect solo devolvió pasos reales para 2026**.\n\nResumen por año:\n\n```txt\n2015 365 días, pasos con data: 0\n2016 366 días, pasos con data: 0\n2017 365 días, pasos con data: 0\n2018 365 días, pasos con data: 0\n2019 365 días, pasos con data: 0\n2020 366 días, pasos con data: 0\n2021 365 días, pasos con data: 0\n2022 365 días, pasos con data: 0\n2023 365 días, pasos con data: 0\n2024 366 días, pasos con data: 0\n2025 365 días, pasos con data: 0\n2026 139 días, pasos con data: 32\n```\n\nInterpretación: **ya importé todo lo que Health Connect expone hoy**, pero tu histórico viejo de pasos probablemente vive en **Google Fit/Fitbit cloud**, no en el store local de Health Connect del Pixel.\n\nY sí: confirmé el sync automático.\n\n```txt\ncom.healthbridge.app WorkManager job\nMinimum latency: +23h59m...\nNetwork required\n```\n\nO sea: **Health Bridge queda sync every 24hs de ahora en más**, y ese sync diario usa el modo reciente, no el import histórico pesado.\n\nPara traer “todo todo” posta de años anteriores, el siguiente paso real es **Google Fit REST API con OAuth** o Fitbit API si hay cuenta/cloud. Health Connect ya quedó exprimido."}], "id": "msg_06d034090aab91f3016a0cec357ab48194a4836ad491028105", "phase": "final_answer"}], "timestamp": "2026-05-19T23:03:27.985204"} {"role": "user", "content": "[nachlakes] investiga bien como podes recuperar toda la data anual de 2026 por favor como minimo", "timestamp": "2026-05-19T23:08:17.043958", "message_id": "1506432387205304371"} {"role": "assistant", "content": "", "reasoning": "**Investigating tools and APIs**\n\nI need to investigate how to proceed effectively. Should I load the necessary skill first? I think it’s important to look into the Google Fit API and any limitations related to Health Connect. Also, I need to check for gaps in the database for 2026. It seems like there's a lot to look into, but I'm ready to tackle these steps and gather all the necessary information!", "finish_reason": "tool_calls", "reasoning_content": "**Investigating tools and APIs**\n\nI need to investigate how to proceed effectively. Should I load the necessary skill first? I think it’s important to look into the Google Fit API and any limitations related to Health Connect. Also, I need to check for gaps in the database for 2026. It seems like there's a lot to look into, but I'm ready to tackle these steps and gather all the necessary information!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDOyDsJ9Mkv8UgXOQvbi5K8YRpmqMJzqOhU5yee52dzJw1Tac3x20RDscMrXyQABjawVlT9mB-kNufN6okKM83QQcI_Uuo100_8KoyMtvAjZ6c2v63H3WYyVvpf0V5W1HGTE3kE24FHEUiWJXqgEXygeFByjjGAnKF3dOxpDepP_OX3m5wlAnWZqzOYIskg6HFbbnYB5fsTxhbaLkxs4drHbPgR_sAQZNoDAUEl-42-zS2oOjSPWj7zfef_UX1GM5e9Y7KSpyNnJ4yNhKp34G394Gdo9vpoq_ODDL3Ol5NywsriDbaY04ookN8DautgFnrcMhj0R9BpXCRaqxkkjK8QvJY_bDXQSW5VVSBMBulEEIUYsSyTI6H9OxXerG3cDLLTASE9Yd4L1z3juQ5KTAVaTWthIYpe2ZQfwf-9eBp5oQTXqmb12snuvTJGIkLaiRRtIIBlbjVkfSAwLnF0xX_dP7gyA_py2LybSP7g0K0iF5YUkJXyTWx6iV8CJXSRG_b8u3PW8MUdiycJBUA9IpQPDOH3Lq-ixKCVTbtAUuzfj2KotfPBXmthFe8L6MrStYMZzKOXcc8_04nE_q1C6nBnJOjhXiwsBh3YYrqlQWSTwjumbkhe94ztuxjfzAZMeRywReIg9ibDzPmWXMFSgw8sGu-sdRGnaBhQdi2HelLgL4mbQuHezUhaG7apDUSt7nDKEqBHkQr6SqU1F8yWb4fhk4FSs8K-QjSEnPddaCQaVqKTlhrMeYh5q1fNk0q94oD4Jj4oJ00VMp9FReAvLaL6uv-kO9wDTBK_jXdaG6O-7iw9BhRnvWU2CI6It3PJzNZI70bTbn5KiS5uQQRK6Yi8q9RUIwukX8Pv1SLfxDdaeKZvJVQvMqPKiAkdNc0XaKpGEK9ED8Bwc8zUxvHsx0lG_ozM_O5AM4gLtiBFyUwk1VC4mvUbzyuw0K2a1_bdoHNX7BMIBPY4ToN6B03bKE1R8JkAWbs4zJyIuHT-Evdta26JCEM1Mk4ZjFaCFAKegnY6uGNgTCMWpepAHNcqvfxeAJ7zCyeEmiyhk5cwnbc5yXJmXH39MrR5ZqTY8Ro_T05i8AzXdJ0BIh2M4HH_LtsT9QI7VreTp90k2L58qrv0_ifgo=", "id": "rs_06d034090aab91f3016a0cec80bdec81948de25c306e618a91", "summary": [{"type": "summary_text", "text": "**Investigating tools and APIs**\n\nI need to investigate how to proceed effectively. Should I load the necessary skill first? I think it’s important to look into the Google Fit API and any limitations related to Health Connect. Also, I need to check for gaps in the database for 2026. It seems like there's a lot to look into, but I'm ready to tackle these steps and gather all the necessary information!"}]}], "tool_calls": [{"id": "call_UaBCfq2V5EaqICElPH6CoQee", "call_id": "call_UaBCfq2V5EaqICElPH6CoQee", "response_item_id": "fc_06d034090aab91f3016a0cec8371a88194a3c58ba284f6d159", "type": "function", "function": {"name": "todo", "arguments": "{\"todos\":[{\"id\":\"audit2026\",\"content\":\"Auditar exactamente qué data 2026 falta y cómo está distribuida en DB\",\"status\":\"in_progress\"},{\"id\":\"research\",\"content\":\"Investigar rutas reales para recuperar histórico 2026 completo: Health Connect, Google Fit, Fitbit export/API\",\"status\":\"pending\"},{\"id\":\"next\",\"content\":\"Definir e implementar el camino mínimo viable para backfill 2026 completo\",\"status\":\"pending\"}]}"}}], "timestamp": "2026-05-19T23:08:17.043958"} {"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"audit2026\", \"content\": \"Auditar exactamente qué data 2026 falta y cómo está distribuida en DB\", \"status\": \"in_progress\"}, {\"id\": \"research\", \"content\": \"Investigar rutas reales para recuperar histórico 2026 completo: Health Connect, Google Fit, Fitbit export/API\", \"status\": \"pending\"}, {\"id\": \"next\", \"content\": \"Definir e implementar el camino mínimo viable para backfill 2026 completo\", \"status\": \"pending\"}], \"summary\": {\"total\": 3, \"pending\": 2, \"in_progress\": 1, \"completed\": 0, \"cancelled\": 0}}", "tool_call_id": "call_UaBCfq2V5EaqICElPH6CoQee", "timestamp": "2026-05-19T23:08:17.043958"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_FYsvK1MDrxBv1p4zJhfEvyLw", "call_id": "call_FYsvK1MDrxBv1p4zJhfEvyLw", "response_item_id": "fc_06d034090aab91f3016a0cec85ae148194a0e5aafdd9a0e20f", "type": "function", "function": {"name": "skill_view", "arguments": "{\"name\":\"health-bridge\"}"}}], "timestamp": "2026-05-19T23:08:17.043958"} {"role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"health-bridge\", \"description\": \"Manage the Health Bridge system — Android app that syncs Health Connect data to the Oracle server. Use when maintaining, rebuilding, deploying, or troubleshooting the health sync pipeline.\", \"tags\": [], \"related_skills\": [], \"content\": \"---\\nname: health-bridge\\ndescription: Manage the Health Bridge system — Android app that syncs Health Connect data to the Oracle server. Use when maintaining, rebuilding, deploying, or troubleshooting the health sync pipeline.\\ncategory: fitness\\n---\\n\\n# Health Bridge\\n\\nAndroid app (Kotlin) + Python server (FastAPI/SQLite) that pulls all Health Connect data from Chicho's Pixel 9a and stores it on the Oracle VPS for Pipo to query.\\n\\n## Architecture\\n\\n```\\nPixel 9a (Health Bridge app)\\n │ WorkManager every 60 min\\n │ or manual \\\"Sync Now\\\" button\\n ▼\\nPOST http://100.87.116.90:3007/ingest (Tailscale mesh)\\n │ Bearer token auth\\n ▼\\nOracle VPS (systemd: health-bridge)\\n │ FastAPI + SQLite (~/health-bridge/health.db)\\n ▼\\nPipo queries: /summary, /data\\n```\\n\\n## Server (Oracle VPS)\\n\\n**Service:** `systemd health-bridge` \\n**Port:** 3007 (HTTP, Tailscale-only) \\n**Code:** `~/health-bridge/server.py` \\n**DB:** `~/health-bridge/health.db` \\n**Token:** `XXMYWq-ft146fRL0AlNV_5P9Vg4NNJJa4pHxqDvzRkg`\\n\\n### Endpoints\\n\\n| Method | Path | Auth | Purpose |\\n|--------|------|------|---------|\\n| GET | `/health` | none | Ping |\\n| GET | `/` | none | Status |\\n| POST | `/ingest` | Bearer | Receive Health Connect data |\\n| GET | `/summary?days=7` | Bearer | Daily aggregated summary |\\n| GET | `/data?data_type=steps&limit=100` | Bearer | Raw records |\\n| GET | `/debug/day?date=YYYY-MM-DD&subject=chicho` | Bearer | Audit one day's classified inputs, fingerprints, and final summary |\\n| GET | `/download` | none | Download latest APK |\\n\\nFor aggregation provenance/dedupe rules, see `references/provenance-dedupe-model.md`.\\nFor full-history backfills and Health Connect quota/binder limits, see `references/historical-health-connect-import.md`.\\n\\n### Management\\n\\n```bash\\nsudo systemctl status health-bridge\\nsudo systemctl restart health-bridge\\nsudo journalctl -u health-bridge -f\\n\\n# Test ingest\\ncurl -s -X POST http://100.87.116.90:3007/ingest \\\\\\n -H \\\"Authorization: Bearer XXMYWq-ft146fRL0AlNV_5P9Vg4NNJJa4pHxqDvzRkg\\\" \\\\\\n -H \\\"Content-Type: application/json\\\" \\\\\\n -d '{\\\"records\\\":[{\\\"type\\\":\\\"steps\\\",\\\"count\\\":5000}]}'\\n\\n# Query summary\\ncurl -s http://100.87.116.90:3007/summary?days=3 \\\\\\n -H \\\"Authorization: Bearer XXMYWq-ft146fRL0AlNV_5P9Vg4NNJJa4pHxqDvzRkg\\\"\\n```\\n\\n## Android App\\n\\n**Package:** `com.healthbridge.app` \\n**Source:** `~/health-bridge/android-app/` \\n**APK:** `~/health-bridge/static/health-bridge.apk` (served at `/download`)\\n\\n### Data Types Synced (22 total)\\n\\nAggregated: steps, distance, floors, active kcal, total kcal \\nHeart: heart rate samples, resting HR, HRV \\nVitals: blood pressure, blood glucose, O₂ saturation, body temperature, respiratory rate \\nBody: weight, body fat, height \\nSleep: sessions \\nExercise: sessions \\nNutrition: meals, hydration \\nMetabolic: BMR\\n\\n### Build & Deploy\\n\\n**Prerequisites on Oracle ARM64:**\\n- Java 17 (`openjdk-17-jdk-headless`)\\n- Android SDK at `/opt/android-sdk` (cmdline-tools, platform 36, build-tools 34.0.0)\\n- `box64` for x86_64 AAPT2 emulation\\n- Gradle 8.11.1+ (wrapper in project)\\n\\n```bash\\ncd ~/health-bridge/android-app\\n./gradlew assembleDebug --no-daemon\\n\\n# Copy to static\\ncp app/build/outputs/apk/debug/app-debug.apk ~/health-bridge/static/health-bridge.apk\\n\\n# Install on Pixel 9a (ADB must be connected)\\nadb -s 100.111.239.9: install -r ~/health-bridge/static/health-bridge.apk\\n```\\n\\n## ADB Connection to Pixel\\n\\nSee `pixel-6a` skill for full ADB flow. Pixel 9a IP: `100.111.239.9` (varies).\\n\\nQuick reconnect:\\n```bash\\n# Pair first (needs fresh code from phone)\\nadb pair 100.111.239.9: \\n\\n# Connect (different port!)\\nadb connect 100.111.239.9:\\nadb devices # confirm \\\"device\\\" status\\n```\\n\\n## Health Connect Intent\\n\\nThe app opens Health Connect settings via:\\n```kotlin\\nIntent(Intent.ACTION_MAIN).apply {\\n setClassName(\\n \\\"com.google.android.healthconnect.controller\\\",\\n \\\"com.android.healthconnect.controller.navigation.TrampolineActivity\\\"\\n )\\n flags = Intent.FLAG_ACTIVITY_NEW_TASK\\n}\\n```\\n\\nFallback: `ConnectAppsOnboardingActivity`\\n\\n## Pitfalls\\n\\n- **Health Connect API 1.1.0** changed types significantly: Energy/Length/Mass values need `.inKilocalories`/`.inMeters`/etc., not raw numbers. `SleepSessionRecord.stage` → removed. `NutritionRecord.time` → `startTime`. `BloodPressureRecord.bodyPosition` is non-nullable.\\n- **compileSdk 36 required** for `health.connect:connect-client:1.1.0`\\n- **Box64 needed** on ARM64 — Android SDK build-tools ship x86_64 AAPT2 binaries\\n- **Permissions:** User must grant ALL types in Health Connect manually. The app opens the HC settings screen; it cannot auto-grant.\\n- **HTTP only** (Tailscale mesh encrypts). `usesCleartextTraffic=true` in manifest.\\n- **Daily aggregate sanity:** Android should compute `today` aggregates from local start-of-day → now, not from the sync lookback window. Backend daily summaries should be idempotent overwrites/upserts, not additive sums of repeated manual/hourly syncs. After rebuilding/installing, ask Chicho to open Health Bridge and tap Sync Now, then compare `/summary?days=1` against Google Fit/Fitbit today values.\\n- **Historical imports:** Do not run full-history backfill as the scheduled background job. Keep WorkManager lightweight (recent daily window) and expose historical backfill as a separate manual path. For multi-year daily totals, chunk by year and use `aggregateGroupByPeriod(..., Period.ofDays(1))`; one aggregate call per day can hit API quota, and one giant read can hit `TransactionTooLargeException`. See `references/historical-health-connect-import.md`.\\n- **Cloud-vs-local history:** Health Connect only exposes data present in the local Health Connect store. A successful backfill over old dates may still produce zero-step rows for years where Google Fit/Fitbit did not write historical data into Health Connect. For older real step history, use Google Fit/Fitbit cloud APIs rather than repeatedly querying Health Connect.\\n- **Mixed-source provenance:** Do not collapse explicit workouts, automatic movement, nutrition intake, and burned energy into ambiguous totals. Keep `workout_minutes`, `auto_activity_minutes`, `exercise_minutes = workout + auto`, and `nutrition_kcal` separate. Use canonical fingerprints for dedupe and `/debug/day` to audit final numbers. See `references/provenance-dedupe-model.md`.\\n- **SQLite migration safety:** Use explicit column lists in endpoints and rebuild scripts; avoid `SELECT *` because additive columns can break tuple unpacking or clients after schema changes.\\n\", \"path\": \"fitness/health-bridge/SKILL.md\", \"skill_dir\": \"/home/ubuntu/.hermes/skills/fitness/health-bridge\", \"linked_files\": {\"references\": [\"references/provenance-dedupe-model.md\", \"references/historical-health-connect-import.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\"}", "tool_call_id": "call_FYsvK1MDrxBv1p4zJhfEvyLw", "timestamp": "2026-05-19T23:08:17.043958"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_kVCz2CdSetNxwHpiwAbCVaan", "call_id": "call_kVCz2CdSetNxwHpiwAbCVaan", "response_item_id": "fc_06d034090aab91f3016a0cec8a6270819482e621bee32ddb20", "type": "function", "function": {"name": "skill_view", "arguments": "{\"name\":\"health-bridge\",\"file_path\":\"references/historical-health-connect-import.md\"}"}}], "timestamp": "2026-05-19T23:08:17.043958"} {"role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"health-bridge\", \"file\": \"references/historical-health-connect-import.md\", \"content\": \"# Historical Health Connect import notes\\n\\nSession learning: importing a full multi-year history by querying one day at a time can exhaust Health Connect quotas or exceed binder transaction limits.\\n\\nObserved failure modes:\\n- `HealthConnectException: API call quota exceeded`\\n- `TransactionTooLargeException: data parcel size ...`\\n\\nWorking pattern:\\n1. Keep automatic background sync lightweight: recent window only, not historical.\\n2. Add a separate manual import path/button for historical backfill.\\n3. Chunk historical backfill by year (or smaller if necessary).\\n4. For daily totals such as steps, distance, floors, active kcal, and total kcal, prefer `aggregateGroupByPeriod(AggregateGroupByPeriodRequest(..., Period.ofDays(1)))` instead of one `aggregate()` call per day.\\n5. POST each chunk separately to the backend. Backend ingestion/rebuild must be idempotent so repeated yearly imports are safe.\\n6. Verify after import with SQLite ranges/counts:\\n - `daily_summary` min/max/count by subject\\n - yearly count of days with `steps > 0`\\n - raw `daily_aggregate` min/max/count\\n\\nImportant interpretation:\\n- A successful historical import can create daily summary rows for the whole requested range even when Health Connect has no actual step data for older years.\\n- If older Google Fit/Fitbit history is absent from local Health Connect, the next source is the cloud API (Google Fit REST/Fitbit), not more Health Connect querying.\\n\\nOperational note:\\n- Manual historical import can be called `Import All`; scheduled WorkManager sync should remain daily/recent to avoid quotas and battery/network waste.\\n\", \"file_type\": \".md\"}", "tool_call_id": "call_kVCz2CdSetNxwHpiwAbCVaan", "timestamp": "2026-05-19T23:08:17.043958"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_LhYmoAgXfR4PoH30PRuISq2d", "call_id": "call_LhYmoAgXfR4PoH30PRuISq2d", "response_item_id": "fc_06d034090aab91f3016a0cec8d81cc8194a3dec80a0a8dcf10", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python3 - <<'PY'\\nimport sqlite3\\ncon=sqlite3.connect('/home/ubuntu/health-bridge/health.db')\\nprint('2026 summary range/count', con.execute(\\\"select min(date), max(date), count(*), sum(steps>0), sum(steps), max(steps) from daily_summary where subject='chicho' and date between '2026-01-01' and '2026-12-31'\\\").fetchone())\\nprint('\\\\n2026 months: month, days, days steps>0, sum steps, avg nonzero')\\nfor r in con.execute(\\\"\\\"\\\"\\nselect substr(date,1,7), count(*), sum(case when steps>0 then 1 else 0 end), sum(steps), cast(avg(nullif(steps,0)) as int)\\nfrom daily_summary where subject='chicho' and date between '2026-01-01' and '2026-12-31'\\ngroup by 1 order by 1\\n\\\"\\\"\\\"):\\n print(r)\\nprint('\\\\nfirst 40 nonzero step days')\\nfor r in con.execute(\\\"select date, steps, distance_m, active_kcal, total_kcal from daily_summary where subject='chicho' and date between '2026-01-01' and '2026-12-31' and steps>0 order by date limit 60\\\"):\\n print(r)\\nprint('\\\\nraw daily aggregate sources sample')\\nfor r in con.execute(\\\"select local_date, json_extract(data_json,'$.steps'), json_extract(data_json,'$.source'), received_at from raw_data where subject='chicho' and data_type='daily_aggregate' and local_date between '2026-01-01' and '2026-12-31' order by local_date limit 10\\\"):\\n print(r)\\nPY\",\"timeout\":180}"}}], "timestamp": "2026-05-19T23:08:17.043958"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"2026 summary range/count ('2026-01-01', '2026-05-19', 139, 32, 362425, 22089)\\n\\n2026 months: month, days, days steps>0, sum steps, avg nonzero\\n('2026-01', 31, 0, 0, None)\\n('2026-02', 28, 0, 0, None)\\n('2026-03', 31, 0, 0, None)\\n('2026-04', 30, 13, 114706, 8823)\\n('2026-05', 19, 19, 247719, 13037)\\n\\nfirst 40 nonzero step days\\n('2026-04-18', 572, 323.07431577488296, 0.0, 1864.4104866428847)\\n('2026-04-19', 13275, 10145.669172743219, 0.0, 1905.221559999997)\\n('2026-04-20', 12061, 8142.784464700057, 0.0, 1905.221559999997)\\n('2026-04-21', 11724, 9174.290961767354, 0.0, 1905.221559999997)\\n('2026-04-22', 6453, 4512.722170103052, 0.0, 1905.221559999997)\\n('2026-04-23', 11718, 7595.413718978251, 0.0, 1905.221559999997)\\n('2026-04-24', 16160, 10647.684205188687, 0.0, 1905.221559999997)\\n('2026-04-25', 10212, 6403.22218231649, 0.0, 1905.221559999997)\\n('2026-04-26', 4719, 2210.492433674581, 0.0, 1905.221559999997)\\n('2026-04-27', 9778, 5375.958299708433, 0.0, 1905.221559999997)\\n('2026-04-28', 1821, 1024.4480601077025, 0.0, 1905.221559999997)\\n('2026-04-29', 4992, 2953.0332561705263, 0.0, 1905.221559999997)\\n('2026-04-30', 11221, 7989.342409610434, 0.0, 1905.221559999997)\\n('2026-05-01', 8947, 5829.735779342586, 0.0, 1905.221559999997)\\n('2026-05-02', 16435, 11273.634583582594, 0.0, 1905.221559999997)\\n('2026-05-03', 10002, 6206.18136625626, 0.0, 1905.221559999997)\\n('2026-05-04', 10500, 7028.837503910005, 0.0, 1905.221559999997)\\n('2026-05-05', 13104, 11497.078321294306, 0.0, 1905.221559999997)\\n('2026-05-06', 10504, 7598.631349177447, 0.0, 1905.221559999997)\\n('2026-05-07', 13151, 9194.088460780093, 0.0, 1905.221559999997)\\n('2026-05-08', 12641, 18250.04147826315, 0.0, 1905.221559999997)\\n('2026-05-09', 15048, 10435.638032546514, 0.0, 1905.221559999997)\\n('2026-05-10', 22089, 16679.864155291965, 0.0, 1905.221559999997)\\n('2026-05-11', 6612, 4300.744990025038, 0.0, 1905.221559999997)\\n('2026-05-12', 14608, 14159.223835224424, 0.0, 1905.221559999997)\\n('2026-05-13', 11169, 8089.813071854046, 0.0, 1905.221559999997)\\n('2026-05-14', 10236, 7560.631451033796, 0.0, 1905.221559999997)\\n('2026-05-15', 13013, 9383.795736735863, 0.0, 1905.221559999997)\\n('2026-05-16', 17579, 12561.22626529708, 0.0, 1905.221559999997)\\n('2026-05-17', 21007, 14775.935646794958, 0.0, 1905.221559999997)\\n('2026-05-18', 9527, 6589.645638964437, 0.0, 1905.221559999997)\\n('2026-05-19', 11547, 11035.452114412172, 0.0, 1588.100247887763)\\n\\nraw daily aggregate sources sample\\n('2026-01-01', 0, 'health_connect', '2026-05-19 23:02:44')\\n('2026-01-02', 0, 'health_connect', '2026-05-19 23:02:44')\\n('2026-01-03', 0, 'health_connect', '2026-05-19 23:02:44')\\n('2026-01-04', 0, 'health_connect', '2026-05-19 23:02:44')\\n('2026-01-05', 0, 'health_connect', '2026-05-19 23:02:44')\\n('2026-01-06', 0, 'health_connect', '2026-05-19 23:02:44')\\n('2026-01-07', 0, 'health_connect', '2026-05-19 23:02:44')\\n('2026-01-08', 0, 'health_connect', '2026-05-19 23:02:44')\\n('2026-01-09', 0, 'health_connect', '2026-05-19 23:02:44')\\n('2026-01-10', 0, 'health_connect', '2026-05-19 23:02:44')\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_LhYmoAgXfR4PoH30PRuISq2d", "timestamp": "2026-05-19T23:08:17.043958"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_Ah1N8n6ewNT53mK9Np9coaPm", "call_id": "call_Ah1N8n6ewNT53mK9Np9coaPm", "response_item_id": "fc_06d034090aab91f3016a0cec99d3408194bc845ed4e2bff028", "type": "function", "function": {"name": "web_search", "arguments": "{\"query\":\"Google Fit REST API aggregate steps daily OAuth 2026 sessions deprecated?\",\"limit\":5}"}}, {"id": "call_TMTaTgvnniBmOvR9jusUYjct", "call_id": "call_TMTaTgvnniBmOvR9jusUYjct", "response_item_id": "fc_06d034090aab91f3016a0cec99d358819482f3377cb3888c97", "type": "function", "function": {"name": "web_search", "arguments": "{\"query\":\"Fitbit Web API activity steps date range daily summary endpoint 2026\",\"limit\":5}"}}, {"id": "call_PQAxjGS5dlymCOLbfqqk0nVP", "call_id": "call_PQAxjGS5dlymCOLbfqqk0nVP", "response_item_id": "fc_06d034090aab91f3016a0cec99d3608194871139961b6ca31a", "type": "function", "function": {"name": "web_search", "arguments": "{\"query\":\"Google Takeout Fit daily step count JSON sessions bucket data source derived com.google.step_count.delta\",\"limit\":5}"}}], "timestamp": "2026-05-19T23:08:17.043958"} {"role": "tool", "name": "web_search", "content": "{\n \"success\": true,\n \"data\": {\n \"web\": [\n {\n \"url\": \"https://developer.android.com/health-and-fitness/guides/health-connect/migrate/fit-apis-end-of-service\",\n \"title\": \"Google Fit Migration FAQ  |  Android health & fitness  |  Android Developers\",\n \"description\": \"- The Google Fit APIs, including the Google Fit REST API, will be deprecated in 2026.\\n- Developers cannot sign up to use these APIs as of May 1, 2024.\\n[...]\\nGoogle Fit APIs will no longer be available for use. After the migration\\nperiod, you should have already migrated to Health Connect or\\nother Android Health APIs.\\n[...]\\n## What will happen to the Google Fit REST APIs after the migration period?\\n[...]\\nThere is no alternative to the Fit REST API.\\n\\nWe encourage Fit REST API users to migrate to the Android Health APIs. See\\nwhich one best fits your needs and users:\",\n \"position\": 1\n },\n {\n \"url\": \"https://developers.google.com/fit/rest/v1/reference/users/dataset/aggregate\",\n \"title\": \"Users.dataset: aggregate  |  Google Fit  |  Google for Developers\",\n \"description\": \"# Users.dataset: aggregate\\n[...]\\n> [!NOTE]\\n> Note: Requires authorization.\\n[...]\\nAggregates data of a certain type or stream into buckets divided by a given\\ntype of boundary. Multiple data sets of multiple types and from multiple\\nsources can be aggregated into exactly one bucket type per request.\\n[...]\\n```\\nPOST https://www.googleapis.com/fitness/v1/users/userId/dataset:aggregate\\n[...]\\n| Parameter name | Value | Description |\\n| --- | --- | --- |\\n| Path parameters | | |\\n| `userId` | `string` | Aggregate data for the person identified. Use `me` to indicate the authenticated user. Only `me` is supported at this time. |\\n[...]\\nThis request requires authorization with at least one of the following scopes:\\n[...]\\n| Scope |\\n| --- |\\n| `https://www.googleapis.com/auth\\n[...]\\nactivity.read` |\\n| `https://www.googleapis.com/auth\\n[...]\\nwrite` |\\n| `https://www.googleapis.com/auth/fitness\\n[...]\\nlocation.read` |\\n| `https://www.googleapis.com/auth/fitness.location.write` |\\n| `https://www.googleapis.com/auth/fitness\\n[...]\\nbody.read` |\\n| `https://www.googleapis\\n[...]\\ncom/auth/fitness.body.write` |\\n| `https://www.googleapis.com/auth/fitness\\n[...]\\n` |\\n| `https://www.googleapis.com/auth/fitness.nutrition.write` |\\n|\\n[...]\\nhttps://www.googleapis.com/auth/fitness\\n[...]\\n.read` |\\n| `https://www\\n[...]\\ncom/auth/\\n[...]\\n.write` |\\n|\\n[...]\\n://www.googleapis.com/auth/fitness.blood_glucose.read` |\\n|\\n[...]\\nwww.googleapis.com/\\n[...]\\n` |\\n|\\n[...]\\nread` |\\n[...]\\noxygen_saturation.write` |\\n| `https://www.googleapis.com/auth/fitness.body_\\n[...]\\n.read` |\\n| `https://www.googleapis.com/auth/fitness.body_temperature.write` |\\n| `https://www.googleapis.com/auth/fitness.reproductive_health.read` |\\n| `https://www.googleapis.com/auth/fitness.reproductive_health.write` |\\n[...]\\nstartTimeMillis\\\": long,\\n \\\"endTimeMillis\\\": long\\n[...]\\n}\\n[...]\\n}\\n[...]\\nminDurationMillis\\n[...]\\n},\\n[...]\\nbucketByActivity\\n[...]\\nminDurationMillis\\n[...]\\n| `aggregateBy[].dataTypeName`\\n[...]\\n| The data type to aggregate. All data sources providing this data\\n[...]\\nwill contribute data to the aggregation.\\n[...]\\ncontain a single dataset for this data\\n[...]\\nname. The dataset will have a data source ID of derived::com.google.android.gms:aggregated. If the user has no data for this data\\n[...]\\ndata set will be returned. Note: Data can be aggregated by either the data\\n[...]\\nor the dataSourceId, not both. | |\\n[...]\\n| `aggregateBy[].dataSourceId` | `string` | A data source ID to aggregate. Only data from the specified data source ID will be included in the aggregation. If specified, this data source must exist; the OAuth scopes in the supplied credentials must grant read access to this data type. The dataset in the response will have the same data source ID. Note: Data can be aggregated by either the dataTypeName or the dataSourceId, not both. | |\\n[...]\\n| `bucketByTime` | `nested object` | Specifies that data be aggregated by a single time interval. Mutually exclusive of other bucketing specifications. | |\\n[...]\\nTime.period.\\n[...]\\nare: -\\n[...]\\nday`\\\" - \\\"`month`\\\" - \\\"`week`\\\" | |\\n[...]\\n| `bucketBySession` | `nested object` | Specifies that data be aggregated by user sessions. Data that does not fall within the time range of a session will not be included in the response. Mutually exclusive of other bucketing specifications. | |\\n[...]\\n| `bucketBySession.minDurationMillis` | `long` | Specifies that only sessions of duration longer than minDurationMillis are considered and used as a container for aggregated data. | |\\n[...]\\n| `bucket[].session` | `nested object` | Available for Bucket.Type.SESSION | |\\n[...]\\nstartTimeMillis`\\n[...]\\n| `bucket[].session.activeTimeMillis` | `long` | Session active time. While start_time_millis and end_time_millis define the full session time, the active time can be shorter and specified by active_time_millis. If the inactive time during the session is known, it should also be inserted via a com.google.activity.segment data point with a STILL activity value | |\",\n \"position\": 2\n },\n {\n \"url\": \"https://developers.google.com/fit/scenarios/read-daily-step-total\",\n \"title\": \"Read the Daily Step Total  |  Google Fit  |  Google for Developers\",\n \"description\": \"This section demonstrates reading current daily step count data using the Fit\\nAndroid API and Fit REST API.\\n[...]\\nTo get the same daily step count as the Fit app, create a data source using\\nthe `com.google.android.gms` app package, as shown in the following example:\\n[...]\\nval request = DataReadRequest.Builder()\\n .aggregate(datasource)\\n .bucketByTime(1, TimeUnit.DAYS)\\n .setTimeRange(startTime.toEpochSecond(), endTime.toEpochSecond(), TimeUnit.SECONDS)\\n .build()\\n[...]\\nYour app can read the current daily step count total across all data\\nsources by making a `POST` request and querying the\\n`com.google.step_count.delta` data type for the specified time period.\\n[...]\\n```\\nhttps://www.googleapis.com/fitness/v1/users/me/dataset:aggregate\\n\\n```\\n[...]\\n```\\n{\\n \\\"aggregateBy\\\": [{\\n \\\"dataTypeName\\\": \\\"com.google.step_count.delta\\\",\\n \\\"dataSourceId\\\": \\\"derived:com.google.step_count.delta:com.google.android.gms:estimated_steps\\\"\\n }],\\n \\\"bucketByTime\\\": { \\\"durationMillis\\\": 86400000 },\\n \\\"startTimeMillis\\\": 1438705622000,\\n \\\"endTimeMillis\\\": 1439310422000\\n}\\n\\n```\\n[...]\\n```\\ncurl \\\\\\n-X POST \\\\\\n-H \\\"Content-Type: application/json;encoding=utf-8\\\" \\\\\\n-H \\\"Authorization: Bearer $ACCESS_TOKEN\\\" \\\\\\n-d @aggregate.json \\\\\\nhttps://www.googleapis.com/fitness/v1/users/me/dataset:aggregate\\n```\",\n \"position\": 3\n },\n {\n \"url\": \"https://developers.google.com/fit/rest/v1/reference\",\n \"title\": \"API Reference  |  Google Fit  |  Google for Developers\",\n \"description\": \"resource types including Users.dataSources, Users.dataSources.dataPointChanges, Users.dataSources.datasets, Users.dataset, and Users.sessions.\\n[...]\\nData can be aggregated across multiple data types and sources into buckets.\\n[...]\\nSessions can be deleted, listed, updated, or inserted.\\n[...]\\nID, so that\\n[...]\\n| list | `GET  /userId/dataSources` | Lists all data sources that are visible to the developer, using the OAuth scopes provided. The list is not exhaustive; the user may have private data sources that are only visible to other developers, or calls using other scopes. |\\n[...]\\n| Method | HTTP request | Description |\\n| --- | --- | --- |\\n| URIs relative to https://www.googleapis.com/fitness/v1/users, unless otherwise noted |\\n| aggregate | `POST  /userId/dataset:aggregate` | Aggregates data of a certain type or stream into buckets divided by a given type of boundary. Multiple data sets of multiple types and from multiple sources can be aggregated into exactly one bucket type per request. |\\n[...]\\n## Users.sessions\\n[...]\\n| Method | HTTP request | Description |\\n| --- | --- | --- |\\n| URIs relative to https://www.googleapis.com/fitness/v1/users, unless otherwise noted |\\n| delete | `DELETE  /userId/sessions/sessionId` | Deletes a session specified by the given session ID. |\\n| list | `GET  /userId/sessions` | Lists sessions previously created. |\\n| update | `PUT  /userId/sessions/sessionId` | Updates or insert a given session. |\",\n \"position\": 4\n },\n {\n \"url\": \"https://developers.google.com/fit/rest/v1/reference/users/sessions/list\",\n \"title\": \"Users.sessions: list  |  Google Fit  |  Google for Developers\",\n \"description\": \"# Users.sessions: list\\n[...]\\n> [!NOTE]\\n> Note: Requires authorization.\\n[...]\\nLists sessions previously created.\\n[...]\\n```\\nGET https://www.googleapis.com/fitness/v1/users/userId/sessions\\n[...]\\n| Parameter name | Value | Description |\\n| --- | --- | --- |\\n| Path parameters | | |\\n| `userId` | `string` | List sessions for the person identified. Use `me` to indicate the authenticated user. Only `me` is supported at this time. |\\n| Optional query parameters | | |\\n| `activityType` | `integer` | If non-empty, only sessions with these activity types should be returned. |\\n| `endTime` | `string` | An RFC3339 timestamp. Only sessions ending between the start and end times will be included in the response. If this time is omitted but startTime is specified, all sessions from startTime to the end of time will be returned. |\\n[...]\\n| `includeDeleted` | `boolean` | If true, and if both startTime and endTime are omitted, session deletions will be returned. |\\n[...]\\n| `pageToken` | `string` | The continuation token, which is used for incremental syncing. To get the next batch of changes, set this parameter to the value of `nextPageToken` from the previous response. The page token is ignored if either start or end time is specified. If none of start time, end time, and the page token is specified, sessions modified in the last 30 days are returned. |\\n[...]\\n| `startTime` | `string` | An RFC3339 timestamp. Only sessions ending between the start and end times will be included in the response. If this time is omitted but endTime is specified, all sessions from the start of time up to endTime will be returned. |\\n[...]\\nThis request requires authorization with at least one of the following scopes:\\n[...]\\ncom/auth\\n[...]\\nhttps://www.googleapis.com/auth\\n[...]\\n` |\\n| `https://www.googleapis.com/auth\\n[...]\\n|\\n|\\n[...]\\nhttps://www.googleapis.com/auth/fitness\\n[...]\\nread` |\\n| `https://www.googleapis.com/auth/fitness.body.write` |\\n| `https://www.googleapis.com/auth/\\n[...]\\n.nutrition.read` |\\n| `https://www.googleapis.com/auth/fitness.nutrition.write` |\\n| `https://www.googleapis.com/auth/fitness.blood_\\n[...]\\n.read` |\\n| `https://www\\n[...]\\ncom/auth/fitness.\\n[...]\\n.write` |\\n| `https://www.googleapis.com/auth/fitness.blood_glucose.read` |\\n| `https://www.googleapis.com/auth/fitness.\\n[...]\\n_glucose.write` |\\n| `https://www.googleapis.com/auth/fitness.oxygen_saturation.read` |\\n| `https://www.googleapis.com/auth/fitness.oxygen_saturation.write` |\\n| `https://www.googleapis.com/auth/fitness.body_\\n[...]\\n.read` |\\n| `https://www.googleapis.com/auth/fitness.body_temperature.write` |\\n| `https://www.googleapis.com/auth/fitness.reproductive_health.read` |\\n| `https://www.googleapis.com/auth/fitness.reproductive_health.write` |\\n[...]\\n```\\n{\\n \\\"session\\\": [\\n {\\n \\\"id\\\":\\n[...]\\n\\\"name\\\":\\n[...]\\n,\\n \\\"description\\\": string,\\n \\\"startTimeMillis\\\": long,\\n \\\"endTimeMillis\\\": long,\\n \\\"modifiedTimeMillis\\\": long,\\n \\\"application\\\": {\\n \\\"packageName\\\": string,\\n \\\"version\\\": string,\\n \\\"detailsUrl\\\": string,\\n \\\"name\\\":\\n[...]\\n},\\n \\\"activityType\\\": integer,\\n \\\"activeTimeMillis\\\": long\\n }\\n ],\\n \\\"deletedSession\\\": [\\n[...]\\n,\\n[...]\\n\\\"startTimeMillis\\\": long,\\n \\\"endTimeMillis\\\": long,\\n \\\"modifiedTimeMillis\\\": long,\\n[...]\\n\\\": string,\\n \\\"name\\\":\\n[...]\\n},\\n[...]\\n,\\n \\\"\\n[...]\\nTimeMillis\\\": long\\n }\\n ],\\n[...]\\n\\\"nextPageToken\\\": string,\\n \\\"hasMoreData\\\": boolean\\n}\\n[...]\\n| Property name | Value | Description | Notes |\\n| --- | --- | --- | --- |\\n| `session[]` | `list` | Sessions with an end time that is between startTime and endTime of the request. | |\\n[...]\\n| `deletedSession[]` | `list` | If `includeDeleted` is set to true in the request, and startTime and endTime are omitted, this will include sessions which were deleted since the last sync. | |\\n[...]\\n| `nextPageToken` | `string` | The sync token which is used to sync further changes. This will only be provided if both startTime and endTime are omitted from the request. | |\",\n \"position\": 5\n }\n ]\n }\n}", "tool_call_id": "call_Ah1N8n6ewNT53mK9Np9coaPm", "timestamp": "2026-05-19T23:08:17.043958"} {"role": "tool", "name": "web_search", "content": "{\n \"success\": true,\n \"data\": {\n \"web\": [\n {\n \"url\": \"https://dev.fitbit.com/build/reference/web-api/activity-timeseries/get-activity-timeseries-by-date-range\",\n \"title\": \"Get Activity Time Series by Date Range\",\n \"description\": \"Time Series by Date Range\\n[...]\\nRetrieves the activity data for a given resource over a period of time by specifying a date range. The response will include only the daily summary values.\\n[...]\\n| GET | /1/user/[user-id]/activities/[resource-path]/date/[start-date]/[end-date].json |\\n| --- | --- |\\n[...]\\n| user-id | required | The encoded ID of the user. Use \\\"-\\\" (dash) for current logged-in user. |\\n| --- | --- | --- |\\n| resource | required | The resource of the data to be returned. See supported values in the Resource Options section. |\\n| start-date | required | The start date specified in the format`yyyy-MM-dd` or`today`. |\\n| end-date | required | The end date specified in the format`yyyy-MM-dd` or`today`. Maximum range: See Resource Options |\\n[...]\\nGET https://api.fitbit.com/1/user/-/activities/steps/date/2019-01-01/2019-01-07.json GET https://api.fitbit.com/1/user/GGNJL9/activities/steps/date/2019-01-01/2019-01-07.json\\n[...]\\n19-01-0\\n[...]\\n/2019-\\n[...]\\n| Element Name | Description |\\n| --- | --- |\\n| activities- : datetime | The date of the recorded resource in the format yyyy-MM-dd. |\\n| activities- : value | The specified resource's daily total. |\\n[...]\\n```\\n\\n{\\n \\\"activities-steps\\\": [\\n {\\n \\\"dateTime\\\": \\\"2018-12-26\\\",\\n \\\"value\\\": \\\"2504\\\"\\n },\\n {\\n \\\"dateTime\\\": \\\"2018-12-27\\\",\\n \\\"value\\\": \\\"3723\\\"\\n },\\n {\\n \\\"dateTime\\\": \\\"2018-12-28\\\",\\n \\\"value\\\": \\\"8304\\\"\\n },\\n {\\n \\\"dateTime\\\": \\\"2018-12-29\\\",\\n \\\"value\\\": \\\"7861\\\"\\n },\\n {\\n \\\"dateTime\\\": \\\"2018-12-30\\\",\\n \\\"value\\\": \\\"837\\\"\\n },\\n {\\n \\\"dateTime\\\": \\\"2018-12-31\\\",\\n \\\"value\\\": \\\"4103\\\"\\n },\\n {\\n \\\"dateTime\\\": \\\"2019-01-01\\\",\\n \\\"value\\\": \\\"1698\\\"\\n }\\n ]\\n}\\n \\n```\\n[...]\\nThe activity log entries for a given day are displayed in the format requested using units in the unit system corresponding to the Accept-Language header provided.\\n[...]\\n- User data is only available since the user's join date or the first log entry date for the requested collection.\\n- The tracker/... resource represents the daily activity values logged by the tracker device only, excluding manual activity log entires.\\n- The tracker/calories resource does not include the Estimated Energy Requirement for calories estimation (EER) calculations for any dates even if they are turned on for the user's profile and use BMR level instead.\\n- Elevation time series (/elevation, /floors) are only available for users with compatible trackers.\\n- The activities collection are maintained for backwards compatible resource URLs (e.g. (activities/log/calories)).\\n[...]\\n### Resource Options\\n[...]\\n| All Activity | Tracker Only Activity | Maximum Date Range |\\n| --- | --- | --- |\\n| activityCalories | tracker/activityCalories | 30 days |\\n| calories | tracker/calories | 1095 days |\\n| caloriesBMR | N/A | 1095 days |\\n| distance | tracker/distance | 1095 days |\\n| elevation | tracker/elevation | 1095 days |\\n| floors | tracker/floors | 1095 days |\\n| minutesSedentary | tracker/minutesSedentary | 1095 days |\\n| minutesLightlyActive | tracker/minutesLightlyActive | 1095 days |\\n| minutesFairlyActive | tracker/minutesFairlyActive | 1095 days |\\n| minutesVeryActive | tracker/minutesVeryActive | 1095 days |\\n| steps | tracker/steps | 1095 days |\\n| swimming-strokes | N/A | 1095 days |\",\n \"position\": 1\n },\n {\n \"url\": \"https://dev.fitbit.com/build/reference/web-api/activity/get-daily-activity-summary\",\n \"title\": \"Get Daily Activity Summary\",\n \"description\": \"Retrieves a summary and list of a user’s activities and activity log entries for a given day.\\n[...]\\n| GET | /1/user/[user-id]/activities/date/[date].json |\\n| --- | --- |\\n[...]\\n| user-id | required | The encoded ID of the user. Use \\\"-\\\" (dash) for current logged-in user. |\\n| --- | --- | --- |\\n| date | required | The date in the format yyyy-MM-dd. |\\n[...]\\n| --- | --- |\\n[...]\\nSee Localization. |\\n[...]\\nGET https://api.fitbit.com/1/user/-/activities/date/2019-01-01.json GET https://api.fitbit.com/1/user/GGNJL9/activities/date/2019-01-01.json\\n[...]\\n.fitbit.com\\n[...]\\nactivities/date/2019-01-01.\\n[...]\\n| activities : startDate | The start date of the recorded exercise. |\\n| activities : startTime | The start time of the recorded exercise. |\\n| activities : steps | Number of steps recorded during the exercise. |\\n[...]\\nfloors | User defined goal for daily floor count. |\\n| goals : steps | User defined goal for daily step count. |\\n[...]\\nthe user was sedentary. |\\n| summary : steps | Total steps taken for the day. |\\n[...]\\nfalse` |\\n[...]\\n```\\n\\n{\\n \\\"activities\\\": [],\\n \\\"goals\\\": {\\n \\\"activeMinutes\\\": 30,\\n \\\"caloriesOut\\\": 1950,\\n \\\"distance\\\": 8.05,\\n \\\"floors\\\": 10,\\n \\\"steps\\\": 6800\\n },\\n \\\"summary\\\": {\\n \\\"activeScore\\\": -1,\\n \\\"activityCalories\\\": 525,\\n \\\"calorieEstimationMu\\\": 2241,\\n \\\"caloriesBMR\\\": 1973,\\n \\\"caloriesOut\\\": 2628,\\n \\\"caloriesOutUnestimated\\\": 2628,\\n \\\"custom\\n[...]\\nZones\\\": [\\n {\\n \\\"caloriesOut\\\": 2616.7788,\\n \\\"max\\\": 140,\\n \\\"min\\\": 30,\\n \\\"minutes\\\": 1432,\\n \\\"name\\\": \\\"Below\\\"\\n },\\n {\\n \\\"caloriesOut\\\": 0,\\n \\\"max\\\": 165,\\n \\\"min\\\": 140,\\n \\\"minutes\\\": 0,\\n \\\"name\\\": \\\"Custom Zone\\\"\\n },\\n {\\n \\\"caloriesOut\\\": 0,\\n \\\"max\\\": 220,\\n \\\"min\\\": 165,\\n \\\"minutes\\\": 0,\\n \\\"name\\\": \\\"Above\\\"\\n }\\n ],\\n \\\"distances\\\": [\\n {\\n \\\"activity\\\": \\\"total\\\",\\n \\\"distance\\\": 1.26\\n },\\n {\\n \\\"activity\\\": \\\"tracker\\\",\\n \\\"distance\\\": 1.26\\n },\\n {\\n \\\"activity\\\": \\\"loggedActivities\\\",\\n \\\"distance\\\": 0\\n },\\n {\\n \\\"activity\\\": \\\"veryActive\\\",\\n \\\"distance\\\": 0\\n },\\n {\\n \\\"activity\\\": \\\"moderatelyActive\\\",\\n \\\"distance\\\": 0\\n },\\n {\\n \\\"activity\\\": \\\"lightlyActive\\\",\\n \\\"distance\\\": 1.25\\n },\\n {\\n \\\"activity\\\": \\\"sedentaryActive\\\",\\n \\\"distance\\\": 0\\n }\\n ],\\n \\\"elevation\\\": 0,\\n \\\"fairlyActiveMinutes\\\": 0,\\n \\\"floors\\\": 0,\\n \\\"heartRateZones\\\": [\\n {\\n \\\"caloriesOut\\\": 1200.33336,\\n \\\"max\\\": 86,\\n \\\"min\\\": 30,\\n \\\"minutes\\\": 812,\\n \\\"name\\\": \\\"Out of Range\\\"\\n },\\n {\\n \\\"caloriesOut\\\": 1409.4564,\\n \\\"max\\\": 121,\\n \\\"min\\\": 86,\\n \\\"minutes\\\": 619,\\n \\\"name\\\": \\\"Fat Burn\\\"\\n },\\n {\\n \\\"caloriesOut\\\": 6.98904,\\n \\\"max\\\": 147,\\n \\\"min\\\": 121,\\n \\\"minutes\\\": 1,\\n \\\"name\\\": \\\"Cardio\\\"\\n },\\n {\\n \\\"caloriesOut\\\": 0,\\n \\\"max\\\": 220,\\n \\\"min\\\": 147,\\n \\\"minutes\\\": 0,\\n \\\"name\\\": \\\"Peak\\\"\\n }\\n ],\\n \\\"lightlyActiveMinutes\\\": 110,\\n \\\"marginalCalories\\\": 281,\\n \\\"restingHeartRate\\\": 77,\\n \\\"sedentaryMinutes\\\": 802,\\n \\\"steps\\\": 1698,\\n \\\"useEstimation\\\": true,\\n \\\"veryActiveMinutes\\\": 0\\n }\\n}\\n[...]\\nThe activity log entries for a given day are displayed in the format requested using units in the unit system corresponding to the Accept-Language header provided.\\n[...]\\n1. Daily summary data and daily goals for elevation (elevation, floors) only included for users with a device with an altimeter.\\n2. The steps field in activity log entries included only for activities that have steps (e.g. \\\"Walking\\\", \\\"Running\\\"); distance only included when it is relevant.\\n3. Calorie burn goal (caloriesOut) represents either dynamic daily target from the premium trainer plan or manual calorie burn goal. Goals are included in the response only for today and 21 days in the past.\",\n \"position\": 2\n },\n {\n \"url\": \"https://dev.fitbit.com/build/reference/web-api/activity-timeseries\",\n \"title\": \"Activity Time Series\",\n \"description\": \"The Activity Time Series endpoints are used to query a Fitbit user's activity data over a period of time, either by specifying a date and time period, or a date range. The response will return only the daily summary value over the specified date range for the given resource. The Activity Time Series endpoints support returning Intraday data (see Intraday).\\n[...]\\nThe endpoints available in this section are\\n[...]\\n- Get Activity Time Series by Date retrieves the activity data for a given resource over a period of time by specifying a date and time period. The response will include only the daily summary values.\\n- Get Activity Time Series by Date Range retrieves the activity data for a given resource over a period of time by specifying a date range. The response will include only the daily summary values.\",\n \"position\": 3\n },\n {\n \"url\": \"https://dev.fitbit.com/build/reference/web-api/activity-timeseries/get-activity-timeseries-by-date\",\n \"title\": \"Get Activity Time Series by Date\",\n \"description\": \"Get Activity Time Series by Date \\n\\n# Get Activity Time Series by Date\\n[...]\\nRetrieves the activity data for a given resource over a period of time by specifying a date and time period. The response will include only the daily summary values.\\n[...]\\n| GET | /1/user/[user-id]/activities/[resource-path]/date/[date]/[period].json |\\n| --- | --- |\\n[...]\\n| user-id | required | The encoded ID of the user. Use \\\"-\\\" (dash) for current logged-in user. |\\n| --- | --- | --- |\\n| resource | required | The resource of the data to be returned. See supported values in the Resource Options section. |\\n| date | required | The end date of the period specified in the format`yyyy-MM-dd` or`today`. |\\n| period | required | The range for which data will be returned. Supported:`1d`|`7d`|`30d`|`1w`|`1m`|`3m`|`6m`|`1y` |\\n[...]\\nGET https://api.fitbit.com/1/user/-/activities/steps/date/2019-01-01/7d.json GET https://api.fitbit.com/1/user/GGNJL9/activities/steps/date/2019-01-01/7d.json\\n[...]\\ncurl -X GET \\\"https://api.fitbit.com/1/user/-/activities/steps/date/2019-01-01/7d.json\\\" \\\\ -H \\\"accept: application/json\\\" \\\\ -H \\\"authorization: Bearer \\\"\\n[...]\\n| Element Name | Description |\\n| --- | --- |\\n| activities- : datetime | The date of the recorded resource in the format yyyy-MM-dd. |\\n| activities- : value | The specified resource's daily total. |\\n[...]\\n```\\n\\n{\\n \\\"activities-steps\\\": [\\n {\\n \\\"dateTime\\\": \\\"2018-12-26\\\",\\n \\\"value\\\": \\\"2504\\\"\\n },\\n {\\n \\\"dateTime\\\": \\\"2018-12-27\\\",\\n \\\"value\\\": \\\"3723\\\"\\n },\\n {\\n \\\"dateTime\\\": \\\"2018-12-28\\\",\\n \\\"value\\\": \\\"8304\\\"\\n },\\n {\\n \\\"dateTime\\\": \\\"2018-12-29\\\",\\n \\\"value\\\": \\\"7861\\\"\\n },\\n {\\n \\\"dateTime\\\": \\\"2018-12-30\\\",\\n \\\"value\\\": \\\"837\\\"\\n },\\n {\\n \\\"dateTime\\\": \\\"2018-12-31\\\",\\n \\\"value\\\": \\\"4103\\\"\\n },\\n {\\n \\\"dateTime\\\": \\\"2019-01-01\\\",\\n \\\"value\\\": \\\"1698\\\"\\n }\\n ]\\n}\\n \\n```\\n[...]\\nThe activity log entries for a given day are displayed in the format requested using units in the unit system corresponding to the Accept-Language header provided.\\n[...]\\n- User data is only available since the user's join date or the first log entry date for the requested collection.\\n- The tracker/... resource represents the daily activity values logged by the tracker device only, excluding manual activity log entires.\\n- The tracker/calories resource does not include the Estimated Energy Requirement for calories estimation (EER) calculations for any dates even if they are turned on for the user's profile and use BMR level instead.\\n- Elevation time series (/elevation, /floors) are only available for users with compatible trackers.\\n- The activities collection are maintained for backwards compatible resource URLs (e.g. (activities/log/calories)).\\n[...]\\n| All Activity | Tracker Only Activity |\\n| --- | --- |\\n| activityCalories | tracker/activityCalories |\\n| calories | tracker/calories |\\n| caloriesBMR | N/A |\\n| distance | tracker/distance |\\n| elevation | tracker/elevation |\\n| floors | tracker/floors |\\n| minutesSedentary | tracker/minutesSedentary |\\n| minutesLightlyActive | tracker/minutesLightlyActive |\\n| minutesFairlyActive | tracker/minutesFairlyActive |\\n| minutesVeryActive | tracker/minutesVeryActive |\\n| steps | tracker/steps |\\n| swimming-strokes | N/A |\\n[...]\\nestimated values based on\\n[...]\\nand stride length. Devices\\n[...]\\nsupport on-device or\\n[...]\\nand speed from\\n[...]\\nGPS data when\\n[...]\\nexercise is initiated using the on-device Exercise application\\n[...]\\nIf the person begins moving before receiving a GPS signal,\\n[...]\\nand stride length are used to calculate distance until the GPS connects. Intraday distance values, returned by the Intraday endpoints or Activity TCX\\n[...]\\n, can be more accurate since they use the GPS data. To determine how\\n[...]\\nexercise was recorded, see\\n[...]\\nchanges to a\\n[...]\\nuser is sleeping or stationary. Today, you cannot\\n[...]\\nto a subset of the user\\n[...]\\ndata. So, it is the responsibility\\n[...]\\nendpoint(s\\n[...]\\nyour system.\\n[...]\\nGet Activity Time Series by Date Range\",\n \"position\": 4\n },\n {\n \"url\": \"https://community.fitbit.com/t5/Web-API-Development/Get-steps-data-for-a-specific-time-frame-multiple-days/td-p/5405393\",\n \"title\": \"Get steps data for a specific time frame, multiple... - Fitbit Community\",\n \"description\": \"I'm trying to get the total count of steps for a user each day for a length of time beyond one day so like one month to several months.\\n[...]\\nthe rest api\\n[...]\\nbut haven'\\n[...]\\nbeen able to see one that will do this, can\\n[...]\\npoint me in\\n[...]\\nright direction?\\n[...]\\nThe Get Activity Time Series by date Range endpoint sounds like it would give you the information you need. The documentation can be found here: https://dev.fitbit.com/build/reference/web-api/activity-timeseries/get-activity-timeseries-by-date-r....\",\n \"position\": 5\n }\n ]\n }\n}", "tool_call_id": "call_TMTaTgvnniBmOvR9jusUYjct", "timestamp": "2026-05-19T23:08:17.043958"} {"role": "tool", "name": "web_search", "content": "{\n \"success\": true,\n \"data\": {\n \"web\": [\n {\n \"url\": \"https://stackoverflow.com/questions/27158645/how-do-i-retrieve-step-count-data-from-google-fitness-rest-api\",\n \"title\": \"How do I retrieve step count data from Google Fitness REST api?\",\n \"description\": \"It turns out that the answer is in the docs after all. Here is the format of the request.\\n[...]\\n`GET https://www.googleapis.com/fitness/v1/users/{userId}/dataSources/{dataSourceId}/datasets/{datasetId}`\\n[...]\\nThe only supported `{userId}` value is `me` (with authentication).\\n[...]\\nPossible values for `{dataSourceId}` are avaiable by running a different request.\\n[...]\\nThe bit I missed was that `{datasetId}` is not really an ID, but actually where you define the timespan in which you are interested. The format for that variable is `{startTime}-{endTime}` where the times are in nanoseconds since the epoch.\\n[...]\\nI was able to get this working by going through the google php client and noticed that they append their start and finish times for the `GET` request with extra 0's - nine infact.\\n[...]\\nUse the same `GET` request format as mentioned in an answer above:\\n[...]\\n```\\nhttps://www.googleapis.com/fitness/v1/users/{userId}/dataSources/{dataSourceId}/datasets/{datasetId}\\n```\\n[...]\\nwith the unix timestamp (php's `time()` function uses this)\\n[...]\\n```\\nhttps://www.googleapis.com/fitness/v1/users/me/dataSources/derived:com.google.step_count.delta:com.google.android.gms:estimated_steps/datasets/1470475368-1471080168\\n```\\n[...]\\n```\\n{\\n \\\"minStartTimeNs\\\": \\\"1470475368\\\", \\n \\\"maxEndTimeNs\\\": \\\"1471080168\\\", \\n \\\"dataSourceId\\\":\\n \\\"derived:com.google.step_count.delta:com.google.android.gms:estimated_steps\\n}\\n```\\n[...]\\nHowever if you append your start and finish times with nine `0`'s that you put in your `GET` requests and shape your request like this:\\n[...]\\n```\\nhttps://www.googleapis.com/fitness/v1/users/me/dataSources/derived:com.google.step_count.delta:com.google.android.gms:estimated_steps/datasets/1470475368000000000-1471080168000000000\\n```\\n[...]\\nIt worked - this is the response I got:\\n[...]\\n```\\n{\\n \\\"minStartTimeNs\\\": \\\"1470475368000000000\\\", \\n \\\"maxEndTimeNs\\\": \\\"1471080168000000000\\\", \\n \\\"dataSourceId\\\":\\n \\\"derived:com.google.step_count.delta:com.google.android.gms:estimated_steps\\\", \\n\\n \\\"point\\\": [\\n {\\n \\\"modifiedTimeMillis\\\": \\\"1470804762704\\\", \\n \\\"startTimeNanos\\\": \\\"1470801347560000000\\\", \\n \\\"endTimeNanos\\\": \\\"1470801347567000000\\\", \\n \\\"value\\\": [\\n {\\n \\\"intVal\\\": -3\\n }\\n ], \\n \\\"dataTypeName\\\": \\\"com.google.step_count.delta\\\", \\n \\\"originDataSourceId\\\": \\\"raw:com.google.step_count.delta:com.dsi.ant.plugins.antplus:AntPlus.0.124\\\"\\n}, \\n```\\n[...]\\nThe response is a lot longer but I truncated it for the sake of this post. So when passing your `datasets` parameter into the request:\\n[...]\\n`1470475368-1471080168` will not work, but `1470475368000000000-1471080168000000000` will.\\n[...]\\nI tried post method with below URL & body. This will work, please check inline comments too.\\n[...]\\nUse URL: https://www.googleapis.com/fitness/v1/users/me/dataset:aggregate Method: POST Body:\\n[...]\\n```\\n {\\n \\\"aggregateBy\\\": [{\\n \\\"dataTypeName\\\": \\\"com.google.step_count.delta\\\",\\n \\\"dataSourceId\\\": \\\"derived:com.google.step_count.delta:com.google.android.gms:estimated_steps\\\"\\n }],\\n \\\"bucketByTime\\\": { \\\"durationMillis\\\": 86400000 }, // This is 24 hours\\n \\\"startTimeMillis\\\": 1504137600000, //start time\\n \\\"endTimeMillis\\\": 1504310400000 // End Time\\n}\\n```\",\n \"position\": 1\n },\n {\n \"url\": \"https://developers.google.com/fit/datatypes/aggregate\",\n \"title\": \"Aggregate data types  |  Google Fit  |  Google for Developers\",\n \"description\": \"To read aggregated data, you need to pick a data type, time range, and something to 'bucket' (or group) the data by. You can bucket data in a few different ways:\\n[...]\\nTime period Bucket aggregated data by per hour or per day. For example, see steps or calories burned per day. Activity type Bucket aggregated data by activity type. For example, for sleep data over a week, there will be a bucket for each sleep activity type (light, deep and REM). Activity segment Bucket aggregated data by the activity segments over a time period. For example, if a user went for a run between 9am and 10am but ran for the first 20 minutes, sat down for 10 minutes, walked for 15 minutes and ran for 15 minutes, these are considered 4 activity segments and would return 4 buckets. Session Use the time boundaries of sessions to aggregate data. For example, if a user went for 2 runs which were logged as 2 sessions (a morning run and an afternoon run), you can bucket by session to learn the average steps or average speed of each run.\\n[...]\\n### Step count delta summary\\n[...]\\nEach data point represents the total number of steps over the time period. This data type and its fields are the same as for the instantaneous data type.\",\n \"position\": 2\n },\n {\n \"url\": \"https://developers.google.com/fit/rest/v1/reference\",\n \"title\": \"API Reference  |  Google Fit  |  Google for Developers\",\n \"description\": \"The API covers resource types including Users.dataSources, Users.dataSources.dataPointChanges, Users.dataSources.datasets, Users.dataset, and Users.sessions.\\n[...]\\nData can be aggregated across multiple data types and sources into buckets.\\n[...]\\nSessions can be deleted, listed, updated, or inserted.\\n[...]\\n| create | `POST  /userId/dataSources` | Creates a new data source that is unique across all data sources belonging to this user. A data source is a unique source of sensor data. Data sources can expose raw data coming from hardware sensors on local or companion devices. They can also expose derived data, created by transforming or merging other data sources. Multiple data sources can exist for the same data type. Every data point in every dataset inserted into or read from the Fitness API has an associated data source. Each data source produces a unique stream of dataset updates, with a unique data source identifier. Not all changes to data source affect the data stream ID, so that data collected by updated versions of the same application/device can still be considered to belong to the same data source. Data sources are identified using a string generated by the server, based on the contents of the source being created. The`dataStreamId` field should not be set when invoking this method. It will be automatically generated by the server with the correct format. If a`dataStreamId` is set, it must match the format that the server would generate. This format is a combination of some fields from the data source, and has a specific order. If it doesn't match, the request will fail with an error. Specifying a DataType which is not a known type (beginning with \\\"com.google.\\\") will create a DataSource with a custom data type. Custom data types are only readable by the application that created them. Custom data types are deprecated; use standard data types instead. In addition to the data source fields included in the data source ID, the developer project number that is authenticated when creating the data source is included. This developer project number is obfuscated when read by any other developer reading public data types. |\\n[...]\\n| update | `PUT  /userId/dataSources/dataSourceId` | Updates the specified data source. The`dataStreamId`,`dataType`,`type`,`dataStreamName`, and`device` properties with the exception of`version`, cannot be modified. Data sources are identified by their`dataStreamId`. |\\n[...]\\n| delete |\\n[...]\\nof the data\\n[...]\\nspecified range of the dataset minimum start time and\\n[...]\\nwhose start time is less\\n[...]\\nto the dataset end time and whose end time is greater than or equal to the dataset start time\\n[...]\\n| patch | `PATCH\\n[...]\\nto a dataset. The dataset need not be previously created. All points within\\n[...]\\ngiven dataset will be returned with subsquent\\n[...]\\nto retrieve this dataset. Data points can belong to more than one dataset. This\\n[...]\\ndoes not use patch semantics: the data\\n[...]\\nprovided are merely inserted, with no existing data replaced\\n[...]\\n| Method | HTTP request | Description |\\n| --- | --- | --- |\\n| URIs relative to https://www.googleapis.com/fitness/v1/users, unless otherwise noted |\\n| aggregate | `POST  /userId/dataset:aggregate` | Aggregates data of a certain type or stream into buckets divided by a given type of boundary. Multiple data sets of multiple types and from multiple sources can be aggregated into exactly one bucket type per request. |\\n[...]\\n## Users.\\n[...]\\n| Method | HTTP request | Description |\\n| --- | --- | --- |\\n| URIs relative to https://www.googleapis.com/fitness/v1/users, unless otherwise noted |\\n| delete | `DELETE  /userId/sessions/sessionId` | Deletes a session specified by the given session ID. |\\n| list | `GET  /userId/sessions` | Lists sessions previously created. |\\n| update | `PUT  /userId/sessions/sessionId` | Updates or insert a given session. |\",\n \"position\": 3\n },\n {\n \"url\": \"https://developers.google.com/fit/rest/v1/data-sources\",\n \"title\": \"Managing Data Sources | Google Fit\",\n \"description\": \"The Fitness REST API lets you create, obtain, and update data sources. A data source represents\\na unique source of sensor data. You use data sources to insert fitness data into the fitness\\nstore, and you can retrieve fitness data inserted by a particular data source.\\n[...]\\nData sources are represented by the `Users.dataSources`\\nresource.\\n[...]\\nThis example demonstrates how to create a new data source named \\\"MyDataSource\\\"\\nthat provides step count increments.\\n[...]\\n```\\n {\\n \\\"dataStreamName\\\": \\\"MyDataSource\\\",\\n \\\"type\\\": \\\"derived\\\",\\n \\\"application\\\": {\\n \\\"detailsUrl\\\": \\\"http://example.com\\\",\\n \\\"name\\\": \\\"Foo Example App\\\",\\n \\\"version\\\": \\\"1\\\"\\n },\\n \\\"dataType\\\": {\\n \\\"field\\\": [\\n {\\n \\\"name\\\": \\\"steps\\\",\\n \\\"format\\\": \\\"integer\\\"\\n }\\n ],\\n \\\"name\\\": \\\"com.google.step_count.delta\\\"\\n },\\n \\\"device\\\": {\\n \\\"manufacturer\\\": \\\"Example Manufacturer\\\",\\n \\\"model\\\": \\\"ExampleTablet\\\",\\n \\\"type\\\": \\\"tablet\\\",\\n \\\"uid\\\": \\\"1000001\\\",\\n \\\"version\\\": \\\"1.0\\\"\\n }\\n }\\n[...]\\nResponse\\n\\n: If the data source is created successfully, the response is a `200 OK` status\\ncode. The response body contains a JSON representation of the data source,\\nincluding a `datasource.dataStreamId`\\nproperty that you can use as the data source ID for subsequent requests.\\n[...]\\nThis example demonstrates how to retrieve the data source (\\\"MyDataSource\\\")\\nthat you created in the previous example. When you create a new data source,\\nthe `dataStreamId` includes a unique identifier (shown as \\\"1234567890\\\" in these\\nexamples). This is your developer project number, and it will be the same for\\nall requests made using that particular developer account. Be sure to use the\\n`dataStreamId` from the data source you created.\\n[...]\\nRequest URL\\n: `https://www.googleapis.com/fitness/v1/users/me/dataSources/derived:com.google.step_count.delta:1234567890:Example%20Manufacturer:ExampleTablet:1000001:MyDataSource`\\n[...]\\nResponse\\n: If the data source exists, the response is a `200 OK` status code. The response body contains a\\nJSON representation of the data source.\\n[...]\\nThis example demonstrates how to query a specific data source for aggregated\\ndata, in this case `estimated_steps`, which is the data source used to show\\nstep count in the Google Fit app. Note that timestamps in the JSON request\\nbody are in milliseconds.\\n[...]\\n```\\n {\\n \\\"aggregateBy\\\": [{\\n \\\"dataSourceId\\\":\\n \\\"derived:com.google.step_count.delta:com.google.android.gms:estimated_steps\\\"\\n }],\\n \\\"bucketByTime\\\": { \\\"durationMillis\\\": 86400000 },\\n \\\"startTimeMillis\\\": 1454284800000,\\n \\\"endTimeMillis\\\": 1455062400000\\n }\\n\\n```\\n[...]\\nRequest URL\\n: `https://www.googleapis.com/fitness/v1/users/me/dataSources/derived:com.google.step_count.delta:1234567890:Example%20Manufacturer:ExampleTablet:1000001:MyDataSource`\\n[...]\\n```\\n {\\n \\\"dataStreamId\\\": \\\"derived:com.google.step_count.delta:1234567890:Example Manufacturer:ExampleTablet:1000001:MyDataSource\\\",\\n \\\"dataStreamName\\\": \\\"MyDataSource\\\",\\n \\\"type\\\": \\\"derived\\\",\\n \\\"application\\\": {\\n \\\"detailsUrl\\\": \\\"http://example.com\\\",\\n \\\"name\\\": \\\"Foo Example App\\\",\\n \\\"version\\\": \\\"1\\\"\\n },\\n \\\"dataType\\\": {\\n \\\"field\\\": [\\n {\\n \\\"name\\\": \\\"steps\\\",\\n \\\"format\\\": \\\"integer\\\"\\n }\\n ],\\n \\\"name\\\": \\\"com.google.step_count.delta\\\"\\n },\\n \\\"device\\\": {\\n \\\"manufacturer\\\": \\\"Example Manufacturer\\\",\\n \\\"model\\\": \\\"ExampleTablet\\\",\\n \\\"type\\\": \\\"tablet\\\",\\n \\\"uid\\\": \\\"1000001\\\",\\n \\\"version\\\": \\\"2.0\\\"\\n }\\n }\\n\\n```\\n[...]\\nthe data source.\\n[...]\\n$ curl --header \\\"Authorization: Bearer ya29\\n[...]\\n--header \\\"Content-Type:\\n[...]\\n;encoding=utf-8\\\" -d @updateds.json \\\\\\n\\\"https://www.googleapis.com/fitness/v1/users/me/dataSources/\\n[...]\\n:com.google.\\n[...]\\n_count.\\n[...]\\n:1234567890:Example%20Manufacturer:Example\\n[...]\\n00001:MyDataSource\\\"\\n[...]\\nwww.googleapis.com/fitness/v1/users/me/\\n[...]\\n_count.\\n[...]\\n:Example%20\",\n \"position\": 4\n },\n {\n \"url\": \"https://developers.google.com/fit/scenarios/read-daily-step-total\",\n \"title\": \"Read the Daily Step Total | Google Fit - Google for Developers\",\n \"description\": \"# Read the Daily Step Total\\n\\nThis section demonstrates reading current daily step count data using the Fit\\nAndroid API and Fit REST API.\\n\\n### Android\\n\\nYour app can read the current daily step total by calling\\n`HistoryClient.readDailyTotal`,\\nas shown in the following example:\\n\\n```kotlin\\nFitness.getHistoryClient(this, GoogleSignIn.getAccountForExtension(this, fitnessOptions))\\n .readDailyTotal(DataType.TYPE_STEP_COUNT_DELTA)\\n .addOnSuccessListener { result ->\\n val totalSteps =\\n result.dataPoints.firstOrNull()?.getValue(Field.FIELD_STEPS)?.asInt() ?: 0\\n // Do something with totalSteps\\n }\\n .addOnFailureListener { e ->\\n Log.i(TAG, \\\"There was a problem getting steps.\\\", e)\\n }\\n\\n```\\n\\nThe daily total is computed from midnight of the current day on the device's\\ncurrent timezone.\\n\\nTo get the same daily step count as the Fit app, create a data source using\\nthe `com.google.android.gms` app package, as shown in the following example:\\n\\n```kotlin\\nval startTime = LocalDate.now().atStartOfDay(ZoneId.systemDefault())\\nval endTime = LocalDateTime.now().atZone(ZoneId.systemDefault())\\n\\nval datasource = DataSource.Builder()\\n .setAppPackageName(\\\"com.google.android.gms\\\")\\n .setDataType(DataType.TYPE_STEP_COUNT_DELTA)\\n .setType(DataSource.TYPE_DERIVED)\\n .setStreamName(\\\"estimated_steps\\\")\\n .build()\\n\\nval request = DataReadRequest.Builder()\\n .aggregate(datasource)\\n .bucketByTime(1, TimeUnit.DAYS)\\n .setTimeRange(startTime.toEpochSecond(), endTime.toEpochSecond(), TimeUnit.SECONDS)\\n .build()\\n\\nFitness.getHistoryClient(this, GoogleSignIn.getAccountForExtension(this, fitnessOptions))\\n .readData(request)\\n .addOnSuccessListener { response ->\\n val totalSteps = response.buckets\\n .flatMap { it.dataSets }\\n .flatMap { it.dataPoints }\\n .sumBy { it.getValue(Field.FIELD_STEPS).asInt() }\\n Log.i(TAG, \\\"Total steps: $totalSteps\\\")\\n }\\n\\n```\\n\\nFor more information about working with aggregate data sources, see\\nWork with the Fitness History.\\n\\n### REST\\n\\nYour app can read the current daily step count total across all data\\nsources by making a `POST` request and querying the\\n`com.google.step_count.delta` data type for the specified time period.\\n\\nHTTP method\\n\\nPOST\\n\\nRequest URL\\n\\n```\\nhttps://www.googleapis.com/fitness/v1/users/me/dataset:aggregate\\n\\n```\\n\\nRequest body\\n\\n```\\n{\\n \\\"aggregateBy\\\": [{\\n \\\"dataTypeName\\\": \\\"com.google.step_count.delta\\\",\\n \\\"dataSourceId\\\": \\\"derived:com.google.step_count.delta:com.google.android.gms:estimated_steps\\\"\\n }],\\n \\\"bucketByTime\\\": { \\\"durationMillis\\\": 86400000 },\\n \\\"startTimeMillis\\\": 1438705622000,\\n \\\"endTimeMillis\\\": 1439310422000\\n}\\n\\n```\\n\\nCurl command\\n\\n```\\ncurl \\\\\\n-X POST \\\\\\n-H \\\"Content-Type: application/json;encoding=utf-8\\\" \\\\\\n-H \\\"Authorization: Bearer $ACCESS_TOKEN\\\" \\\\\\n-d @aggregate.json \\\\\\nhttps://www.googleapis.com/fitness/v1/users/me/dataset:aggregate\\n```\",\n \"position\": 5\n }\n ]\n }\n}", "tool_call_id": "call_PQAxjGS5dlymCOLbfqqk0nVP", "timestamp": "2026-05-19T23:08:17.043958"} {"role": "assistant", "content": "", "reasoning": "**Checking credentials for gcloud**\n\nI think I need to check the existing Google Cloud credentials first. It might be necessary to implement a script, but I'm also wondering if OAuth could work without credentials. I can search through my files to see if I can find any Google Fit credentials. It's a bit of a puzzle trying to figure out which approach to take, but I want to get it right for the task at hand!", "finish_reason": "tool_calls", "reasoning_content": "**Checking credentials for gcloud**\n\nI think I need to check the existing Google Cloud credentials first. It might be necessary to implement a script, but I'm also wondering if OAuth could work without credentials. I can search through my files to see if I can find any Google Fit credentials. It's a bit of a puzzle trying to figure out which approach to take, but I want to get it right for the task at hand!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDOyhTDN32Oawgfmilbq8PQHkxE__F1jUfyh_6RLXcGQ59l6Xi_2ye80HJqs6uFOKkt4YNrkWg0cbsVktXqm3I8we3gbGlWYxze5lF4JJNn9Wv86N-gJns5bASUYV5oP2NIKabaLsXr4BggyDf00yoikHvbkqdce3u-M76zuEsasIySK9PTXr1ZUkLBlp_TqbhHv7IMV09NasOI0xTHK-HpQ9sNkxtFUyh6Hbtj8iDhx2WHAlZJK71qrcQ0tAfqDMlbC2SjhX2DzINVdekVVlbI8DGdxIk8EP6HBOtFOg2_DuXHc8EtFMwbdTasGDGlsjzvja_YenTiu2bpxTY33ulcaTn-BVfX-P_l18GzkPMWAS-B2cXcmBr786PVbX7JB_ericdMFmCR05qB5fFu3GGxPiyn8qnN4bMN_1g-_pD9AxuxbLN7_q5PPLq7mMsEAVytRsk8kRdQZw7GkhPUCsNC829YzUB457Zrh7cd-PoIM5pO41TPC2jORCFfubhwv0qXP8AEHdhJxwIjIHq31OhykFX0E5fcKdbmj95O2mLVbMRulyKheGcJzAOawL1_De51ZB713d7MbiQ4cqNbZ9nkLsdUb-fFmQl3O_OhoTG5hWv6vBoqw-m9w3TEok9KwJuFhf3pNiDHewszK153rMEnFYYZaRZzXI-rO23RTt9K9PXavGjAjMVdqzCe5SiJLBPS2DoWzQ2FC_L-az7VLxLynzIrYMKYTvePdUsMTJaedvmGVAqgiOuHugixK_prBB3FnNpCkMcPcQ5lDdVPnYjkcCSiyhAiT0OfdxcTXFKcx5hhrURwvvTQFiplrs2Xj2KKA7pjVN8ersO8Zw0NcaRBLuimSBmog0vKWvJmLxHMjVWDYNLRVqFKqs0SZomP1xBhOAuzth7lwUGPlL_jvMlPjRuRGOx0lhdRlp2rgeMGVBKf5pTbCVK15dFTCEkf_DHsL1X3OOKo6MKqhoJ7rxbkNV_mq1FcSrZRL1RWqjrkcpIjDo8E1s-Tiv3rF5JKBTEn_trmVrP8Teqt8ThinFAxv7QpshiLn6vA-Kt3nhUUGqgVghOPY_o4ewS9gZRKpvey6YG_OdYmBm0QggBazP3L2WSw==", "id": "rs_06d034090aab91f3016a0cec9daecc81948a9b1035683b6614", "summary": [{"type": "summary_text", "text": "**Checking credentials for gcloud**\n\nI think I need to check the existing Google Cloud credentials first. It might be necessary to implement a script, but I'm also wondering if OAuth could work without credentials. I can search through my files to see if I can find any Google Fit credentials. It's a bit of a puzzle trying to figure out which approach to take, but I want to get it right for the task at hand!"}]}], "tool_calls": [{"id": "call_GcnUL1AvhaYSYdHFDkBecW6G", "call_id": "call_GcnUL1AvhaYSYdHFDkBecW6G", "response_item_id": "fc_06d034090aab91f3016a0ceca163848194aed363376988b868", "type": "function", "function": {"name": "search_files", "arguments": "{\"limit\":50,\"path\":\"/home/ubuntu\",\"pattern\":\"fitness|google fit|GOOGLE_FIT|fitbit|FITBIT|estimated_steps|fitness/v1\",\"target\":\"content\",\"output_mode\":\"content\"}"}}], "timestamp": "2026-05-19T23:08:17.043958"} {"role": "tool", "name": "search_files", "content": "{\"total_count\": 39, \"matches\": [{\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 41, \"content\": \" \\\"com.google.android.apps.fitness\\\": {\\\"class\\\": \\\"auto_activity\\\", \\\"label\\\": \\\"Google Fit\\\", \\\"trust\\\": \\\"medium\\\"},\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 42, \"content\": \" \\\"com.fitbit.FitbitMobile\\\": {\\\"class\\\": \\\"wearable_activity\\\", \\\"label\\\": \\\"Fitbit\\\", \\\"trust\\\": \\\"high\\\"},\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 514, \"content\": \" elif source == \\\"com.google.android.apps.fitness\\\":\"}, {\"path\": \"/home/ubuntu/health-bridge/test_server.py\", \"line\": 16, \"content\": \" fit = rec(type=\\\"exercise\\\", source=\\\"com.google.android.apps.fitness\\\", exercise_type=\\\"79\\\", minutes=41, start=\\\"c\\\", end=\\\"d\\\")\"}, {\"path\": \"/home/ubuntu/health-bridge/test_server.py\", \"line\": 25, \"content\": \" rec(type=\\\"exercise\\\", source=\\\"com.google.android.apps.fitness\\\", exercise_type=\\\"79\\\", minutes=41, start=\\\"2026-05-19T15:24:07Z\\\", end=\\\"2026-05-19T16:06:00Z\\\"),\"}, {\"path\": \"/home/ubuntu/health-bridge/test_server.py\", \"line\": 40, \"content\": \" google = rec(type=\\\"exercise\\\", source=\\\"com.google.android.apps.fitness\\\", exercise_type=\\\"79\\\", minutes=20, start=\\\"2026-05-19T12:00:00Z\\\", end=\\\"2026-05-19T12:20:00Z\\\")\"}, {\"path\": \"/home/ubuntu/health-bridge/test_server.py\", \"line\": 54, \"content\": \" rec(type=\\\"nutrition\\\", source=\\\"com.myfitnesspal.android\\\", energy_kcal=600, protein_g=45, carbs_g=70, fat_g=20, start=\\\"2026-05-19T13:00:00Z\\\", end=\\\"2026-05-19T13:10:00Z\\\"),\"}, {\"path\": \"/home/ubuntu/openclaw-src-v2026.3.22/extensions/open-prose/skills/prose/examples/21-pipeline-operations.prose\", \"line\": 5, \"content\": \"let ideas = [\\\"AI tutor\\\", \\\"smart garden\\\", \\\"fitness tracker\\\", \\\"meal planner\\\", \\\"travel assistant\\\"]\"}, {\"path\": \"/home/ubuntu/go/pkg/mod/github.com/pion/rtcp@v1.2.16/LICENSES/CC0-1.0.txt\", \"line\": 109, \"content\": \" title, merchantability, fitness for a particular purpose, non\"}, {\"path\": \"/home/ubuntu/openclaw-workspace/portfolio-site/node_modules/typescript/ThirdPartyNoticeText.txt\", \"line\": 139, \"content\": \"9. Representations, Warranties and Disclaimers. I represent and warrant that I am legally entitled to grant the rights and promises set forth in this Agreement. IN ALL OTHER RESPECTS THE SPECIFICATION IS PROVIDED “AS IS.” The entire risk as to implementing or otherwise using the Specification is assumed by the implementer and user. Except as stated herein, I expressly disclaim any warranties (express, implied, or otherwise), including implied warranties of merchantability, non-infringement, fitn\"}, {\"path\": \"/home/ubuntu/go/pkg/mod/golang.org/x/oauth2@v0.30.0/fitbit/fitbit.go\", \"line\": 5, \"content\": \"// Package fitbit provides constants for using OAuth2 to access the Fitbit API.\"}, {\"path\": \"/home/ubuntu/go/pkg/mod/golang.org/x/oauth2@v0.30.0/fitbit/fitbit.go\", \"line\": 6, \"content\": \"package fitbit // import \\\"golang.org/x/oauth2/fitbit\\\"\"}, {\"path\": \"/home/ubuntu/go/pkg/mod/golang.org/x/oauth2@v0.30.0/fitbit/fitbit.go\", \"line\": 14, \"content\": \"\\tAuthURL: \\\"https://www.fitbit.com/oauth2/authorize\\\",\"}, {\"path\": \"/home/ubuntu/go/pkg/mod/golang.org/x/oauth2@v0.30.0/fitbit/fitbit.go\", \"line\": 15, \"content\": \"\\tTokenURL: \\\"https://api.fitbit.com/oauth2/token\\\",\"}, {\"path\": \"/home/ubuntu/go/pkg/mod/golang.org/x/oauth2@v0.30.0/endpoints/endpoints.go\", \"line\": 110, \"content\": \"\\tAuthURL: \\\"https://www.fitbit.com/oauth2/authorize\\\",\"}, {\"path\": \"/home/ubuntu/go/pkg/mod/golang.org/x/oauth2@v0.30.0/endpoints/endpoints.go\", \"line\": 111, \"content\": \"\\tTokenURL: \\\"https://api.fitbit.com/oauth2/token\\\",\"}, {\"path\": \"/home/ubuntu/go/pkg/mod/golang.org/x/net@v0.48.0/publicsuffix/table_test.go\", \"line\": 6102, \"content\": \"\\t\\\"fitness\\\",\"}, {\"path\": \"/home/ubuntu/go/pkg/mod/golang.org/x/net@v0.48.0/publicsuffix/table_test.go\", \"line\": 10171, \"content\": \"\\t\\\"fitness\\\",\"}, {\"path\": \"/home/ubuntu/go/pkg/mod/golang.org/x/net@v0.48.0/publicsuffix/data/text\", \"line\": 1, \"content\": \"bolzano-altoadigevje-og-hornnes3-website-us-west-2bomlocustomer-ocienciabonavstackarasjoketokuyamashikokuchuobondigitaloceanspacesakurastoragextraspace-to-rentalstomakomaibarabonesakuratanishikatakazakindustriesteinkjerepbodynaliasnesoddeno-staginglobodoes-itcouldbeworfarsundiskussionsbereichateblobanazawarszawashtenawsapprunnerdpoliticaarparliamenthickarasuyamasoybookonlineboomladeskierniewiceboschristmasakilovecollegefantasyleaguedagestangebostik-serveronagasukeyword-oncillahppictetcieszynishi\"}, {\"path\": \"/home/ubuntu/go/pkg/mod/golang.org/x/net@v0.31.0/publicsuffix/table_test.go\", \"line\": 6111, \"content\": \"\\t\\\"fitness\\\",\"}, {\"path\": \"/home/ubuntu/go/pkg/mod/golang.org/x/net@v0.31.0/publicsuffix/table_test.go\", \"line\": 9536, \"content\": \"\\t\\\"fitness\\\",\"}, {\"path\": \"/home/ubuntu/go/pkg/mod/golang.org/x/net@v0.31.0/publicsuffix/data/text\", \"line\": 1, \"content\": \"birkenesoddtangentinglogoweirbitbucketrzynishikatakayamatta-varjjatjomembersaltdalovepopartysfjordiskussionsbereichatinhlfanishikatsuragitappassenger-associationishikawazukamiokameokamakurazakitaurayasudabitternidisrechtrainingloomy-routerbjarkoybjerkreimdbalsan-suedtirololitapunkapsienamsskoganeibmdeveloperauniteroirmemorialombardiadempresashibetsukumiyamagasakinderoyonagunicloudevelopmentaxiijimarriottayninhaccanthobby-siteval-d-aosta-valleyoriikaracolognebinatsukigataiwanumatajimidsundgcahces\"}, {\"path\": \"/home/ubuntu/go/pkg/mod/golang.org/x/net@v0.39.0/publicsuffix/table_test.go\", \"line\": 6102, \"content\": \"\\t\\\"fitness\\\",\"}, {\"path\": \"/home/ubuntu/go/pkg/mod/golang.org/x/net@v0.39.0/publicsuffix/table_test.go\", \"line\": 10171, \"content\": \"\\t\\\"fitness\\\",\"}, {\"path\": \"/home/ubuntu/go/pkg/mod/golang.org/x/net@v0.39.0/publicsuffix/data/text\", \"line\": 1, \"content\": \"bolzano-altoadigevje-og-hornnes3-website-us-west-2bomlocustomer-ocienciabonavstackarasjoketokuyamashikokuchuobondigitaloceanspacesakurastoragextraspace-to-rentalstomakomaibarabonesakuratanishikatakazakindustriesteinkjerepbodynaliasnesoddeno-staginglobodoes-itcouldbeworfarsundiskussionsbereichateblobanazawarszawashtenawsapprunnerdpoliticaarparliamenthickarasuyamasoybookonlineboomladeskierniewiceboschristmasakilovecollegefantasyleaguedagestangebostik-serveronagasukeyword-oncillahppictetcieszynishi\"}, {\"path\": \"/home/ubuntu/go/pkg/mod/golang.org/x/oauth2@v0.24.0/fitbit/fitbit.go\", \"line\": 5, \"content\": \"// Package fitbit provides constants for using OAuth2 to access the Fitbit API.\"}, {\"path\": \"/home/ubuntu/go/pkg/mod/golang.org/x/oauth2@v0.24.0/fitbit/fitbit.go\", \"line\": 6, \"content\": \"package fitbit // import \\\"golang.org/x/oauth2/fitbit\\\"\"}, {\"path\": \"/home/ubuntu/go/pkg/mod/golang.org/x/oauth2@v0.24.0/fitbit/fitbit.go\", \"line\": 14, \"content\": \"\\tAuthURL: \\\"https://www.fitbit.com/oauth2/authorize\\\",\"}, {\"path\": \"/home/ubuntu/go/pkg/mod/golang.org/x/oauth2@v0.24.0/fitbit/fitbit.go\", \"line\": 15, \"content\": \"\\tTokenURL: \\\"https://api.fitbit.com/oauth2/token\\\",\"}, {\"path\": \"/home/ubuntu/go/pkg/mod/golang.org/x/oauth2@v0.24.0/endpoints/endpoints.go\", \"line\": 52, \"content\": \"\\tAuthURL: \\\"https://www.fitbit.com/oauth2/authorize\\\",\"}, {\"path\": \"/home/ubuntu/go/pkg/mod/golang.org/x/oauth2@v0.24.0/endpoints/endpoints.go\", \"line\": 53, \"content\": \"\\tTokenURL: \\\"https://api.fitbit.com/oauth2/token\\\",\"}, {\"path\": \"/home/ubuntu/hermes-agent/website/scripts/extract-skills.py\", \"line\": 205, \"content\": \" \\\"health\\\": [\\\"health\\\", \\\"fitness\\\"],\"}, {\"path\": \"/home/ubuntu/hermes-agent/skills/research/research-paper-writing/templates/aaai2026/aaai2026.sty\", \"line\": 26, \"content\": \"% merchantability, fitness for a particular purpose, or noninfringement.\"}, {\"path\": \"/home/ubuntu/hermes-agent/skills/index-cache/lobehub_index.json\", \"line\": 1, \"content\": \"{\\\"schemaVersion\\\": 1, \\\"agents\\\": [{\\\"author\\\": \\\"CSY2022\\\", \\\"createdAt\\\": \\\"2025-06-19\\\", \\\"homepage\\\": \\\"https://github.com/CSY2022\\\", \\\"identifier\\\": \\\"lateral-thinking-puzzle\\\", \\\"knowledgeCount\\\": 0, \\\"meta\\\": {\\\"avatar\\\": \\\"🐢\\\", \\\"description\\\": \\\"A turtle soup host needs to provide the scenario, the complete story (truth of the event), and the key point (the condition for guessing correctly).\\\", \\\"tags\\\": [\\\"Turtle Soup\\\", \\\"Reasoning\\\", \\\"Interaction\\\", \\\"Puzzle\\\", \\\"Role-playing\\\"], \\\"title\\\": \\\"Turtle Soup Host\\\", \\\"category\\\": \\\"gam\"}, {\"path\": \"/home/ubuntu/go/pkg/mod/modernc.org/sqlite@v1.38.2/testdata/tcl/wapp.tcl\", \"line\": 9, \"content\": \"# merchantability or fitness for a particular purpose.\"}, {\"path\": \"/home/ubuntu/go/pkg/mod/modernc.org/sqlite@v1.38.2/testdata/tcl/fts1porter.test\", \"line\": 8095, \"content\": \" fitness fit\"}, {\"path\": \"/home/ubuntu/go/pkg/mod/modernc.org/sqlite@v1.38.2/testdata/tcl/fts1porter.test\", \"line\": 21631, \"content\": \" unfitness unfit\"}, {\"path\": \"/home/ubuntu/lobbytracker/node_modules/next/dist/compiled/postcss-preset-env/LICENSE\", \"line\": 94, \"content\": \" merchantability, fitness for a particular purpose, non infringement, or\"}, {\"path\": \"/home/ubuntu/lobbytracker/node_modules/typescript/ThirdPartyNoticeText.txt\", \"line\": 139, \"content\": \"9. Representations, Warranties and Disclaimers. I represent and warrant that I am legally entitled to grant the rights and promises set forth in this Agreement. IN ALL OTHER RESPECTS THE SPECIFICATION IS PROVIDED “AS IS.” The entire risk as to implementing or otherwise using the Specification is assumed by the implementer and user. Except as stated herein, I expressly disclaim any warranties (express, implied, or otherwise), including implied warranties of merchantability, non-infringement, fitn\"}]}", "tool_call_id": "call_GcnUL1AvhaYSYdHFDkBecW6G", "timestamp": "2026-05-19T23:08:17.043958"} {"role": "assistant", "content": "", "reasoning": "**Considering Google Fit API updates**\n\nI’m thinking about whether I should update to include Google Fit REST for 2026. However, it might not be necessary. I need to check if signing up for Google Fit REST is possible since it's been off-limits for new developers since May 2024. But if the OAuth is configured through Google Workspace CLI, maybe an existing OAuth client can request those fitness scopes. I should look into the credential files for details.", "finish_reason": "tool_calls", "reasoning_content": "**Considering Google Fit API updates**\n\nI’m thinking about whether I should update to include Google Fit REST for 2026. However, it might not be necessary. I need to check if signing up for Google Fit REST is possible since it's been off-limits for new developers since May 2024. But if the OAuth is configured through Google Workspace CLI, maybe an existing OAuth client can request those fitness scopes. I should look into the credential files for details.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDOy2R0qEnukk88E3yWLw12kaLG0brlM8B9sPubr3mBeNWoP_GlWB_ZuUIAvrj6cj_Am6AUKxnraSATaw5A519Tk9ib9myrnr8vFvAtF1sJicRquR67DbTAkIpFH-TcCVqbzTyavmAiva-tYr71wH7lTPlCH3JUN_5_UgmKfvortdb25OAyprEwA28lkV8UE5_yRuMe2rgRGFVQgnfXszkbCypchyjv0rJp9srAZUJlCKhEMIqVmvba5WIg5KFpr2agHmAiGrs-KeoPgkPV_8Adn64jKx3dmNqn4XoA-7eGdy69f4z_UUfLd_9txvK6nnhGJxCYCbbaMIZv_ipxjjh2IcI2cYPWJFHm-ZfGZXNCvCzomHpxv7mSlBSKFwXCyVHre3a2NIkp4QwJZnhIDV1LAintIKITCooX4gQRnUFjMVZl3Y2AZHNS83gX_sC9ERBs5ekiBDOLd-NtVVHqbXnmHVtDxRcRggRq_iHp9krVQvau49L2OMH1ZRf8TVz7KD1JiLcz5T2g9pzGWUzgeIf0YIDI4p-FQF8idsssMQMVTmkHTM2tbusRFv6oPJwoGzJxCMDEiR581U8NqIZBi04ygfAR9GRQPYEsVzxJP2n6gXkWVfPkZPTGvcMkvaDYLsSE1_k1DCTRZtT-6C4FFRcyrfFWtu8jTdqqp7i3RpTZdOjqaDIaqVw2G6nO2EqGyPKXKsXSK6_dIAoYas7SMi5ydu91Xlmf8yWL8CR2b099UkiitJH9gatNb7dprsLec7e8L4URn8fEEqOFH9-YQpqb9aRm8tb4KTXvz76kQCSjWmUQIbmFqErcwq3U18tIoKcTamNv__4NzjEMKYvKd0VMDfyJs4bN23EeDXAEr6jr-k9h4Es2d5vp1RVikUJfueyXJD8zgv1G4wL4RjV3T8Qi_Zsm4LQrkiF3uDTc52T2OLsFae-gNDOb_q7VGstqQZ4iRpowRZzVXqJGU_zVEPQwh2_XgM7AGON93YEAY-KFsBSxUPJ19rGiiiqEVf4km6rd6lQZwdDhTtgthFN0nxctpizn4GpNMXNljZaymEnmIqQwEXwZ0YPqpEf33vGoGoF2CIs1uXs8Zs0CaiNdjCdZYu0o6G5FD8hlCBB74uQPycpAPFyOSwi4mp9-28OAsJENuSXD55Tv1C7EoMQrLVk3EX4E58lJfC06PgNjibDqUCRMm6JpBXwP18D0z2sZ9-mF_3-n_1pedX6n2VpoKNtQbCUKD1Wj0Qk1IczY__2MFK8nAQ9NnHtizVWTBAu_Vp5ox50toooXpfmOFcLdgNY-ne_qAZXZs2gjxh73BpUIAK5oOXxpHXorGRC45iNFvv4e3agrDIpAji-YnJzBbdhrFlRzQq7EnXWNBd5p4NJor1PczQKtj6Y8v66-tnwbgbEKyZZrGUHZBB10TCx5RHWpv2hv62ZvB5PKOMPpYRp6ShISrg1hu79LLATMEyosnGFQER02q8Y9pOy_lxfZ80G_C0OqYOzFRY76gTYYpUlvTBK8EhmRgdkeoU5BjJaeuh9jHj7Ai579NpI3lS_6MBXdoU04ryJrL208llBqwaX3tCMO5SfOpJ_yAyVb0qIU1B2hFMmK-rjya9Hcoih3VxyFzNfekgBNWnjff9pFNcF2hQ3lG3CPr1N-DJfIZbs9-WRtSGO8Lm2X_RFSNiOfoLAHhzFYBEMX5_Vlggr_ubhXMBdc9pf_nHmUxAcaQmUnITNhG-WhRAjes1rTkTbZhWmyYYHP7QdlEIDHtr_GNDCS3Z2ggmJbFdtVxS5oXJeqHWJEC67fzcshNG0kNqVrjYhX72ezHT7Hif4DJQNxm3pt5gGqqp7rRURkAVFdMqqPdkkAlrovxBky6XdGzl5n-d0hA0H3oDlOkDJ5uVbHDjx-ijEtHd5lAJY5wVBlZxOoYJTS6Q6GwEPHy-x0pamPWihJXb1pCzGsXp2YJ8iQgeWK8hkS3nY11uoNY5VHuzngKEznKm40vXSNTxDS0MpahshClerttoGt7amlfPYahR_3EGWntYtJ8ztf8qXlgs2j1WaNJ6CWD1Pexqki-NE-ctLPMIWye9ZNZmXthjO-Y3PUvBgsQwf6NOCo8cayPB1oFzObx3_zHBecQCG5DNK-fsIYJ6KDkWO1BD4pLOSadbOwkcTIOzdiVL9FC0ssuqJfx3WJOyDl1INGtDtnt2ee717hluLp1aheczkUeVx0v7VWyVYXw5zHDQ-5P_3qHJGdXry4eTl3GAaDMxbJBc51Rda9ztWHG1uu3kckKjdkXxPFIExlzcQhEBk0XNlLy3A8MQUkK6zKil9TG2hlnG2p2MG3NYZIKmVK7jLM06A8vzx53Ex2dR10uuvZta9V5H3I-7HVjPZR0yhY4xcS5stO8xHb9F5oKOJWkHQAnLiitif9Qao1uRlHWP7X-Rn9LH-yVNEi7j3JiZtMUCHYaqhVefhCa9rHzrlYvR6rFeCrbb1XOWY7T1tr8xdPJrY_rsOl-3zHIHMel-MozX3-2SGEZlXz164j-0qjRVjFPOOxq2QEsKuMwg_0bRQtmWdqiMBWwsQsKFLlWd-CSp5Ixu9p9vdDyJ3w==", "id": "rs_06d034090aab91f3016a0cecaf1f688194ba843d0c15bff44f", "summary": [{"type": "summary_text", "text": "**Considering Google Fit API updates**\n\nI’m thinking about whether I should update to include Google Fit REST for 2026. However, it might not be necessary. I need to check if signing up for Google Fit REST is possible since it's been off-limits for new developers since May 2024. But if the OAuth is configured through Google Workspace CLI, maybe an existing OAuth client can request those fitness scopes. I should look into the credential files for details."}]}], "tool_calls": [{"id": "call_LRhSf458yqjBKfYHktV14TDQ", "call_id": "call_LRhSf458yqjBKfYHktV14TDQ", "response_item_id": "fc_06d034090aab91f3016a0cecb66f5481948d335ad702a2b41d", "type": "function", "function": {"name": "search_files", "arguments": "{\"limit\":50,\"path\":\"/home/ubuntu/.hermes\",\"pattern\":\"*google*\",\"target\":\"files\"}"}}], "timestamp": "2026-05-19T23:08:17.043958"} {"role": "tool", "name": "search_files", "content": "{\"total_count\": 18, \"files\": [\"/home/ubuntu/.hermes/hermes-agent/tests/gateway/test_google_chat.py\", \"/home/ubuntu/.hermes/skills/productivity/google-workspace/scripts/google_api.py\", \"/home/ubuntu/.hermes/hermes-agent/skills/productivity/google-workspace/scripts/google_api.py\", \"/home/ubuntu/.hermes/profiles/glm-longhorizon/skills/productivity/google-workspace/scripts/google_api.py\", \"/home/ubuntu/.hermes/profiles/tuvieja/skills/productivity/google-workspace/scripts/google_api.py\", \"/home/ubuntu/.hermes/hermes-agent/website/docs/user-guide/skills/bundled/productivity/productivity-google-workspace.md\", \"/home/ubuntu/.hermes/hermes-agent/website/docs/user-guide/messaging/google_chat.md\", \"/home/ubuntu/.hermes/hermes-agent/website/docs/guides/google-gemini.md\", \"/home/ubuntu/.hermes/hermes-agent/tests/skills/test_google_workspace_credential_files.py\", \"/home/ubuntu/.hermes/hermes-agent/agent/google_oauth.py\", \"/home/ubuntu/.hermes/hermes-agent/agent/google_code_assist.py\", \"/home/ubuntu/.hermes/hermes-agent/tests/skills/test_google_oauth_setup.py\", \"/home/ubuntu/.hermes/hermes-agent/tests/plugins/test_google_meet_node.py\", \"/home/ubuntu/.hermes/hermes-agent/tests/plugins/test_google_meet_plugin.py\", \"/home/ubuntu/.hermes/hermes-agent/tests/plugins/test_google_meet_realtime.py\", \"/home/ubuntu/.hermes/hermes-agent/tests/plugins/test_google_meet_audio.py\", \"/home/ubuntu/.hermes/hermes-agent/website/docs/user-guide/skills/google-workspace.md\", \"/home/ubuntu/.hermes/hermes-agent/tests/skills/test_google_workspace_api.py\"]}", "tool_call_id": "call_LRhSf458yqjBKfYHktV14TDQ", "timestamp": "2026-05-19T23:08:17.043958"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_GOhDjepbp46G4No7Bj9k1SDp", "call_id": "call_GOhDjepbp46G4No7Bj9k1SDp", "response_item_id": "fc_06d034090aab91f3016a0cecba3a588194b84e3444308f604f", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"env | grep -Ei 'GOOGLE|FITBIT|FITNESS' || true; python3 - <<'PY'\\nimport os, glob\\nfor p in glob.glob('/home/ubuntu/.config/**', recursive=True):\\n if any(x in p.lower() for x in ['google','gws','oauth','fitbit']): print(p)\\nPY\",\"timeout\":180}"}}], "timestamp": "2026-05-19T23:08:17.043958"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"AUXILIARY_VISION_MODEL=google/gemini-2.0-flash-001\\n/home/ubuntu/.config/gogcli/oauth-manual-state-5_L_fbHmXpBVd0xvPdLnH-P3b1Q7zd4ebN7MrtGp_mU.json\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_GOhDjepbp46G4No7Bj9k1SDp", "timestamp": "2026-05-19T23:08:17.043958"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDOzAwd5tttgbu0HVr_bpkEa_bHUq9ZB8Ob2MTs3XHer-Wi7kY_AvC3RbAxNmxX3mnodKqkelVJ5Y9q2W2ruGjj_EKFNahY4f4LHXyq-kfktmhtloRZZH7YfRQg8dnlWhHIiroXL5cBky4hsRsvNsgT2FgdFlj_18-_orXGMqAN601Tg2yP2z9aNejcvSWWjBSdAueqyn2xGAG07eRoX2qd9EurPmMCa6K-xLeuyATFY2AgTjSb5U73WTRP6J1JoaBv8eqSxJGG49KpSKHYiHHsb5ELNtgp1evZl_crQnx-VAwp50XCdLYlYFUOnrrisJsKxQAfJei5V1Be4T3k-1pSDFzvx3e4zAnAXYtozcrlUFk0qs6DMIDGMHM0F0t07FANc_1ceOGG82M8vEEUml3ImqA2IMp06La1XVx6Qh-b9px2yaAKYEvAqDug6xTA1nu-EX2dU8FYNm1iRNMvVPRiXaq5Dh2L1vbKsO-QcdLAmM3jYJibbODPb9b62rUmLnonEX3IWv8lvKyo3Z61238ggL8RmSqmIVUMS_zjVxk4NdpAHRnt13vRg1-5KTE9Mj7JbqzveCEUUfUd4rfYcH1MeOi_IiPXTkbWXQTmT5nuxXnOi67f8TWOFe39hl7Q_CdhaTETwHVPjomBOKjAylSN95NgdBsvNWypmc_1o5oqgkR1vxt5_ARqjBf8418t-PoNy4XeYKZdrXxbpAiMXk5-bsEnTsrpTqurChF_u14qUji3j_SZeipdoJW4HUjk8KMfNDPdoSszY4ny4YjARDaqVcdqzaboUDJBNzy2lfIlcnOq8ahCRMqL5zN0LcyimxeaCIjBcpYb0Yfyn_8hfkomWT5C9Lp7XrAqAlnEfLezccnjiSrd2eqsPeJCthvu3looB4l6y9mLHtVQ01g7LjVDiFQyg7mEpnMdiakdBC0uR05R15rzH3hI8p2fvfQGFjAVJ-RdqRUA9-_HDFhc5R5oXmcgGydwGoCn6TakImRMO_kXIYVrbrbSrb6tZ_Buh2Ize6jQZ-boNVpTm8NQgKQqfy9fICDfOsZHQPwMm1wJ-e06OQPbA8PzMeyJOoo5ZuYk5t", "id": "rs_06d034090aab91f3016a0cecbf2c8c81948dfb96f3c58f75f0", "summary": []}], "tool_calls": [{"id": "call_rywpwxvE3LfJGXxc7Pdr8Pno", "call_id": "call_rywpwxvE3LfJGXxc7Pdr8Pno", "response_item_id": "fc_06d034090aab91f3016a0cecc05e9c819487f3f3f824f9fca0", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"/home/ubuntu/.config/gogcli/oauth-manual-state-5_L_fbHmXpBVd0xvPdLnH-P3b1Q7zd4ebN7MrtGp_mU.json\",\"limit\":80}"}}], "timestamp": "2026-05-19T23:08:17.043958"} {"role": "tool", "name": "read_file", "content": "{\"content\": \" 1|{\\n 2| \\\"state\\\": \\\"5_L_fbHmXpBVd0xvPdLnH-P3b1Q7zd4ebN7MrtGp_mU\\\",\\n 3| \\\"client\\\": \\\"default\\\",\\n 4| \\\"scopes\\\": [\\n 5| \\\"email\\\",\\n 6| \\\"https://www.googleapis.com/auth/calendar.readonly\\\",\\n 7| \\\"https://www.googleapis.com/auth/contacts.other.readonly\\\",\\n 8| \\\"https://www.googleapis.com/auth/contacts.readonly\\\",\\n 9| \\\"https://www.googleapis.com/auth/directory.readonly\\\",\\n 10| \\\"https://www.googleapis.com/auth/drive.readonly\\\",\\n 11| \\\"https://www.googleapis.com/auth/gmail.readonly\\\",\\n 12| \\\"https://www.googleapis.com/auth/userinfo.email\\\",\\n 13| \\\"openid\\\"\\n 14| ],\\n 15| \\\"redirect_uri\\\": \\\"http://127.0.0.1:45835/oauth2/callback\\\",\\n 16| \\\"created_at\\\": \\\"2026-03-05T00:07:44.371729752Z\\\"\\n 17|}\\n 18|\", \"total_lines\": 17, \"file_size\": 636, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_rywpwxvE3LfJGXxc7Pdr8Pno", "timestamp": "2026-05-19T23:08:17.043958"} {"role": "assistant", "content": "", "reasoning": "**Preparing final research**\n\nI need to prepare a final concise report, but the task indicates I should keep working on it. I might need to implement support for importing sources, and that makes me think about creating an OAuth script for Google Fit. I should check if the skills related to Google Workspace are relevant since I'll be using the Google API. I need to load this information properly to ensure everything works!", "finish_reason": "tool_calls", "reasoning_content": "**Preparing final research**\n\nI need to prepare a final concise report, but the task indicates I should keep working on it. I might need to implement support for importing sources, and that makes me think about creating an OAuth script for Google Fit. I should check if the skills related to Google Workspace are relevant since I'll be using the Google API. I need to load this information properly to ensure everything works!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDOzIKaowImBA2h_fzdSYBBmaTNNTX2A2Yg3mprhAZ1tAwdlauAnKeyNPFaP7v4dB-lige65MwjdpLV3f3a21dTEc9tb2CcGwEdRdvLWE4EBQlOKuzIk3yt85LlD6Bnxuqhile9M-BQum6BSL24CuRvuUizSAfa6aWF7R7GajFnUcp8ThzH4lpeRDFG3ebySJptnFy5lmX8YMM9-55ZNmLIzPmxRWvFjdI9GQB55M-3XYAcT1efICv9Paa2q0QDmYZwmql9DJmYPcyDX0-oZJdxl-foZu5_VqLalckkCWiG_rZ3x7icUycnnqpd2bTmz6CcYvVDawSlnTZGg_4_oYP-MD3DxQ2a74OavR81B7036UGMx993OfHAmtGiEDvb7xMPhFdLeQkttN1hsUlotTtRAd3Pfv8JL4cGwrmSgM0GzonSXnnjRXCAgz0yvmeS7qriZ-uYy4wsBcONJ8TyH6CslnhzQsnlPtkwRe4-MTCGdCEQn81fQTFu66Nw2rfR9OIoWrcCbPFPEVfirtsC7moXPwfGlF7pFpP7OLLMYEPKDBwlT4crmYqDJYgE2rA1JbkpPfdMaUS7hQ1L0diELJc9RLLPo3X62GTrI-_0Ncjfglva4H0IZqPs3R4cjnGMGOn41F2e8xkqWR5GRz23MyLpbtP1V16hPW10DClBK7NuukgPVRbxtq00kiZwM1VNp-0HKXeFKnP9m7pbWR-cpr6C7osiB83oWZFBCF_2d7kFi-sP8b5nOO39reCe2VjVRuEQQmt4k4H8guil61AMovtLriJiLt-wxengGuqQG61L9QHfvW-lIzB4AAxBUqJUyKs8bVJMs6fdvErgEc7P4PDb-VTyMtL-HhC7LDojZNwGDqnxOBwIwfOmA6W_7iAEuD4g5Fv2HG17nfdW7WgZHrS7gH9iVAwdYkrbih1NAyOPw_QeamsIZ6tg5HQZg7ZxUlGNen2pXGQ5EX07TS4tgkJF8QpQ2zA5i4sTWC9FWjrVArehl0P7oCZCkRI1WyWUXwWJ096CQ3ZEwh9N8ooFqQvJbhY-8cXa4nX4uczknU0nJu8WYhcIkDOlUam2hTnNQtMKC1uFtwtfW0teytNhPCojkNR188g7TFdsh-Gw_hCK5MiwBInCMFYS2EJUus1QC7BOiIQPJOa7vjv8H7n0KeMl_InH2crLMf2aS-KNpJ4wWDYBijHvkKgXlkcUhGDBtME_iZsQqhhRsoryRkYyuNpY-Quw==", "id": "rs_06d034090aab91f3016a0cecc4c0d8819488926f72719052e9", "summary": [{"type": "summary_text", "text": "**Preparing final research**\n\nI need to prepare a final concise report, but the task indicates I should keep working on it. I might need to implement support for importing sources, and that makes me think about creating an OAuth script for Google Fit. I should check if the skills related to Google Workspace are relevant since I'll be using the Google API. I need to load this information properly to ensure everything works!"}]}], "tool_calls": [{"id": "call_bok6MLJvaaNUl4TXvyZSA5fd", "call_id": "call_bok6MLJvaaNUl4TXvyZSA5fd", "response_item_id": "fc_06d034090aab91f3016a0cecc8652081949a74e2e583825c4e", "type": "function", "function": {"name": "skill_view", "arguments": "{\"name\":\"google-workspace\"}"}}], "timestamp": "2026-05-19T23:08:17.043958"} {"role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"google-workspace\", \"description\": \"Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\", \"tags\": [\"Google\", \"Gmail\", \"Calendar\", \"Drive\", \"Sheets\", \"Docs\", \"Contacts\", \"Email\", \"OAuth\"], \"related_skills\": [\"himalaya\"], \"content\": \"---\\nname: google-workspace\\ndescription: \\\"Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\\\"\\nversion: 1.1.0\\nauthor: Nous Research\\nlicense: MIT\\nplatforms: [linux, macos, windows]\\nrequired_credential_files:\\n - path: google_token.json\\n description: Google OAuth2 token (created by setup script)\\n - path: google_client_secret.json\\n description: Google OAuth2 client credentials (downloaded from Google Cloud Console)\\nmetadata:\\n hermes:\\n tags: [Google, Gmail, Calendar, Drive, Sheets, Docs, Contacts, Email, OAuth]\\n homepage: https://github.com/NousResearch/hermes-agent\\n related_skills: [himalaya]\\n---\\n\\n# Google Workspace\\n\\nGmail, Calendar, Drive, Contacts, Sheets, and Docs — through Hermes-managed OAuth and a thin CLI wrapper. When `gws` is installed, the skill uses it as the execution backend for broader Google Workspace coverage; otherwise it falls back to the bundled Python client implementation.\\n\\n## References\\n\\n- `references/gmail-search-syntax.md` — Gmail search operators (is:unread, from:, newer_than:, etc.)\\n\\n## Scripts\\n\\n- `scripts/setup.py` — OAuth2 setup (run once to authorize)\\n- `scripts/google_api.py` — compatibility wrapper CLI. It prefers `gws` for operations when available, while preserving Hermes' existing JSON output contract.\\n\\n## First-Time Setup\\n\\nThe setup is fully non-interactive — you drive it step by step so it works\\non CLI, Telegram, Discord, or any platform.\\n\\nDefine a shorthand first:\\n\\n```bash\\nGSETUP=\\\"python ${HERMES_HOME:-$HOME/.hermes}/skills/productivity/google-workspace/scripts/setup.py\\\"\\n```\\n\\n### Step 0: Check if already set up\\n\\n```bash\\n$GSETUP --check\\n```\\n\\nIf it prints `AUTHENTICATED`, skip to Usage — setup is already done.\\n\\n### Step 1: Triage — ask the user what they need\\n\\nBefore starting OAuth setup, ask the user TWO questions:\\n\\n**Question 1: \\\"What Google services do you need? Just email, or also\\nCalendar/Drive/Sheets/Docs?\\\"**\\n\\n- **Email only** → They don't need this skill at all. Use the `himalaya` skill\\n instead — it works with a Gmail App Password (Settings → Security → App\\n Passwords) and takes 2 minutes to set up. No Google Cloud project needed.\\n Load the himalaya skill and follow its setup instructions.\\n\\n- **Email + Calendar** → Continue with this skill, but use\\n `--services email,calendar` during auth so the consent screen only asks for\\n the scopes they actually need.\\n\\n- **Calendar/Drive/Sheets/Docs only** → Continue with this skill and use a\\n narrower `--services` set like `calendar,drive,sheets,docs`.\\n\\n- **Full Workspace access** → Continue with this skill and use the default\\n `all` service set.\\n\\n**Question 2: \\\"Does your Google account use Advanced Protection (hardware\\nsecurity keys required to sign in)? If you're not sure, you probably don't\\n— it's something you would have explicitly enrolled in.\\\"**\\n\\n- **No / Not sure** → Normal setup. Continue below.\\n- **Yes** → Their Workspace admin must add the OAuth client ID to the org's\\n allowed apps list before Step 4 will work. Let them know upfront.\\n\\n### Step 2: Create OAuth credentials (one-time, ~5 minutes)\\n\\nTell the user:\\n\\n> You need a Google Cloud OAuth client. This is a one-time setup:\\n>\\n> 1. Create or select a project:\\n> https://console.cloud.google.com/projectselector2/home/dashboard\\n> 2. Enable the required APIs from the API Library:\\n> https://console.cloud.google.com/apis/library\\n> Enable: Gmail API, Google Calendar API, Google Drive API,\\n> Google Sheets API, Google Docs API, People API\\n> 3. Create the OAuth client here:\\n> https://console.cloud.google.com/apis/credentials\\n> Credentials → Create Credentials → OAuth 2.0 Client ID\\n> 4. Application type: \\\"Desktop app\\\" → Create\\n> 5. If the app is still in Testing, add the user's Google account as a test user here:\\n> https://console.cloud.google.com/auth/audience\\n> Audience → Test users → Add users\\n> 6. Download the JSON file and tell me the file path\\n>\\n> Important Hermes CLI note: if the file path starts with `/`, do NOT send only the bare path as its own message in the CLI, because it can be mistaken for a slash command. Send it in a sentence instead, like:\\n> `The JSON file path is: /home/user/Downloads/client_secret_....json`\\n\\nOnce they provide the path:\\n\\n```bash\\n$GSETUP --client-secret /path/to/client_secret.json\\n```\\n\\nIf they paste the raw client ID / client secret values instead of a file path,\\nwrite a valid Desktop OAuth JSON file for them yourself, save it somewhere\\nexplicit (for example `~/Downloads/hermes-google-client-secret.json`), then run\\n`--client-secret` against that file.\\n\\n### Step 3: Get authorization URL\\n\\nUse the service set chosen in Step 1. Examples:\\n\\n```bash\\n$GSETUP --auth-url --services email,calendar --format json\\n$GSETUP --auth-url --services calendar,drive,sheets,docs --format json\\n$GSETUP --auth-url --services all --format json\\n```\\n\\nThis returns JSON with an `auth_url` field and also saves the exact URL to\\n`~/.hermes/google_oauth_last_url.txt`.\\n\\nAgent rules for this step:\\n- Extract the `auth_url` field and send that exact URL to the user as a single line.\\n- Tell the user that the browser will likely fail on `http://localhost:1` after approval, and that this is expected.\\n- Tell them to copy the ENTIRE redirected URL from the browser address bar.\\n- If the user gets `Error 403: access_denied`, send them directly to `https://console.cloud.google.com/auth/audience` to add themselves as a test user.\\n\\n### Step 4: Exchange the code\\n\\nThe user will paste back either a URL like `http://localhost:1/?code=4/0A...&scope=...`\\nor just the code string. Either works. The `--auth-url` step stores a temporary\\npending OAuth session locally so `--auth-code` can complete the PKCE exchange\\nlater, even on headless systems:\\n\\n```bash\\n$GSETUP --auth-code \\\"THE_URL_OR_CODE_THE_USER_PASTED\\\" --format json\\n```\\n\\nIf `--auth-code` fails because the code expired, was already used, or came from\\nan older browser tab, it now returns a fresh `fresh_auth_url`. In that case,\\nimmediately send the new URL to the user and have them retry with the newest\\nbrowser redirect only.\\n\\n### Step 5: Verify\\n\\n```bash\\n$GSETUP --check\\n```\\n\\nShould print `AUTHENTICATED`. Setup is complete — token refreshes automatically from now on.\\n\\n### Notes\\n\\n- Token is stored at `~/.hermes/google_token.json` and auto-refreshes.\\n- Pending OAuth session state/verifier are stored temporarily at `~/.hermes/google_oauth_pending.json` until exchange completes.\\n- If `gws` is installed, `google_api.py` points it at the same `~/.hermes/google_token.json` credentials file. Users do not need to run a separate `gws auth login` flow.\\n- To revoke: `$GSETUP --revoke`\\n\\n## Usage\\n\\nAll commands go through the API script. Set `GAPI` as a shorthand:\\n\\n```bash\\nGAPI=\\\"python ${HERMES_HOME:-$HOME/.hermes}/skills/productivity/google-workspace/scripts/google_api.py\\\"\\n```\\n\\n### Gmail\\n\\n```bash\\n# Search (returns JSON array with id, from, subject, date, snippet)\\n$GAPI gmail search \\\"is:unread\\\" --max 10\\n$GAPI gmail search \\\"from:boss@company.com newer_than:1d\\\"\\n$GAPI gmail search \\\"has:attachment filename:pdf newer_than:7d\\\"\\n\\n# Read full message (returns JSON with body text)\\n$GAPI gmail get MESSAGE_ID\\n\\n# Send\\n$GAPI gmail send --to user@example.com --subject \\\"Hello\\\" --body \\\"Message text\\\"\\n$GAPI gmail send --to user@example.com --subject \\\"Report\\\" --body \\\"

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\\\" --html\\n$GAPI gmail send --to user@example.com --subject \\\"Hello\\\" --from '\\\"Research Agent\\\" ' --body \\\"Message text\\\"\\n\\n# Reply (automatically threads and sets In-Reply-To)\\n$GAPI gmail reply MESSAGE_ID --body \\\"Thanks, that works for me.\\\"\\n$GAPI gmail reply MESSAGE_ID --from '\\\"Support Bot\\\" ' --body \\\"Thanks\\\"\\n\\n# Labels\\n$GAPI gmail labels\\n$GAPI gmail modify MESSAGE_ID --add-labels LABEL_ID\\n$GAPI gmail modify MESSAGE_ID --remove-labels UNREAD\\n```\\n\\n### Calendar\\n\\n```bash\\n# List events (defaults to next 7 days)\\n$GAPI calendar list\\n$GAPI calendar list --start 2026-03-01T00:00:00Z --end 2026-03-07T23:59:59Z\\n\\n# Create event (ISO 8601 with timezone required)\\n$GAPI calendar create --summary \\\"Team Standup\\\" --start 2026-03-01T10:00:00-06:00 --end 2026-03-01T10:30:00-06:00\\n$GAPI calendar create --summary \\\"Lunch\\\" --start 2026-03-01T12:00:00Z --end 2026-03-01T13:00:00Z --location \\\"Cafe\\\"\\n$GAPI calendar create --summary \\\"Review\\\" --start 2026-03-01T14:00:00Z --end 2026-03-01T15:00:00Z --attendees \\\"alice@co.com,bob@co.com\\\"\\n\\n# Delete event\\n$GAPI calendar delete EVENT_ID\\n```\\n\\n### Drive\\n\\n```bash\\n# Search existing files\\n$GAPI drive search \\\"quarterly report\\\" --max 10\\n$GAPI drive search \\\"mimeType='application/pdf'\\\" --raw-query --max 5\\n\\n# Get metadata for a single file\\n$GAPI drive get FILE_ID\\n\\n# Upload a local file (auto-detects MIME type)\\n$GAPI drive upload /path/to/report.pdf\\n$GAPI drive upload /path/to/image.png --name \\\"Logo.png\\\" --parent FOLDER_ID\\n\\n# Download (binary files download as-is; Google-native files export to a\\n# sensible default — Docs→pdf, Sheets→csv, Slides→pdf, Drawings→png)\\n$GAPI drive download FILE_ID\\n$GAPI drive download DOC_ID --output ~/doc.pdf\\n$GAPI drive download DOC_ID --export-mime text/plain --output ~/doc.txt\\n\\n# Create a folder\\n$GAPI drive create-folder \\\"Reports\\\"\\n$GAPI drive create-folder \\\"Q4\\\" --parent FOLDER_ID\\n\\n# Share\\n$GAPI drive share FILE_ID --email alice@example.com --role reader\\n$GAPI drive share FILE_ID --email alice@example.com --role writer --notify\\n$GAPI drive share FILE_ID --type anyone --role reader # anyone with link\\n$GAPI drive share FILE_ID --type domain --domain example.com --role reader\\n\\n# Delete — defaults to trash (reversible). Use --permanent to skip the trash.\\n$GAPI drive delete FILE_ID\\n$GAPI drive delete FILE_ID --permanent\\n```\\n\\n### Contacts\\n\\n```bash\\n$GAPI contacts list --max 20\\n```\\n\\n### Sheets\\n\\n```bash\\n# Create a new spreadsheet\\n$GAPI sheets create --title \\\"Q4 Budget\\\"\\n$GAPI sheets create --title \\\"Inventory\\\" --sheet-name \\\"Stock\\\"\\n\\n# Read\\n$GAPI sheets get SHEET_ID \\\"Sheet1!A1:D10\\\"\\n\\n# Write\\n$GAPI sheets update SHEET_ID \\\"Sheet1!A1:B2\\\" --values '[[\\\"Name\\\",\\\"Score\\\"],[\\\"Alice\\\",\\\"95\\\"]]'\\n\\n# Append rows\\n$GAPI sheets append SHEET_ID \\\"Sheet1!A:C\\\" --values '[[\\\"new\\\",\\\"row\\\",\\\"data\\\"]]'\\n```\\n\\n### Docs\\n\\n```bash\\n# Read\\n$GAPI docs get DOC_ID\\n\\n# Create a new Doc (optionally seeded with body text)\\n$GAPI docs create --title \\\"Meeting Notes\\\"\\n$GAPI docs create --title \\\"Draft\\\" --body \\\"First paragraph...\\\"\\n\\n# Append text to the end of an existing Doc\\n$GAPI docs append DOC_ID --text \\\"Additional content to append\\\"\\n```\\n\\n## Output Format\\n\\nAll commands return JSON. Parse with `jq` or read directly. Key fields:\\n\\n- **Gmail search**: `[{id, threadId, from, to, subject, date, snippet, labels}]`\\n- **Gmail get**: `{id, threadId, from, to, subject, date, labels, body}`\\n- **Gmail send/reply**: `{status: \\\"sent\\\", id, threadId}`\\n- **Calendar list**: `[{id, summary, start, end, location, description, htmlLink}]`\\n- **Calendar create**: `{status: \\\"created\\\", id, summary, htmlLink}`\\n- **Drive search**: `[{id, name, mimeType, modifiedTime, webViewLink}]`\\n- **Drive get**: `{id, name, mimeType, modifiedTime, size, webViewLink, parents, owners}`\\n- **Drive upload**: `{status: \\\"uploaded\\\", id, name, mimeType, webViewLink}`\\n- **Drive download**: `{status: \\\"downloaded\\\", id, name, path, mimeType}`\\n- **Drive create-folder**: `{status: \\\"created\\\", id, name, webViewLink}`\\n- **Drive share**: `{status: \\\"shared\\\", permissionId, fileId, role, type}`\\n- **Drive delete**: `{status: \\\"trashed\\\" | \\\"deleted\\\", fileId, permanent}`\\n- **Contacts list**: `[{name, emails: [...], phones: [...]}]`\\n- **Sheets get**: `[[cell, cell, ...], ...]`\\n- **Sheets create**: `{status: \\\"created\\\", spreadsheetId, title, spreadsheetUrl}`\\n- **Docs create**: `{status: \\\"created\\\", documentId, title, url}`\\n- **Docs append**: `{status: \\\"appended\\\", documentId, inserted_at, characters}`\\n\\n## Rules\\n\\n1. **Never send email, create/delete calendar events, delete Drive files, share files, or modify Docs/Sheets without confirming with the user first.** Show what will be done (recipients, file IDs, content, share role) and ask for approval. For `drive delete`, prefer the default trash (reversible) over `--permanent`.\\n2. **Check auth before first use** — run `setup.py --check`. If it fails, guide the user through setup.\\n3. **Use the Gmail search syntax reference** for complex queries — load it with `skill_view(\\\"google-workspace\\\", file_path=\\\"references/gmail-search-syntax.md\\\")`.\\n4. **Calendar times must include timezone** — always use ISO 8601 with offset (e.g., `2026-03-01T10:00:00-06:00`) or UTC (`Z`).\\n5. **Respect rate limits** — avoid rapid-fire sequential API calls. Batch reads when possible.\\n\\n## Troubleshooting\\n\\n| Problem | Fix |\\n|---------|-----|\\n| `NOT_AUTHENTICATED` | Run setup Steps 2-5 above |\\n| `REFRESH_FAILED` | Token revoked or expired — redo Steps 3-5 |\\n| `HttpError 403: Insufficient Permission` | Missing API scope — `$GSETUP --revoke` then redo Steps 3-5 |\\n| `AUTHENTICATED (partial)` or \\\"Token missing scopes\\\" | New write capabilities (Drive write/delete, Docs create/edit) require re-authorization. `$GSETUP --revoke` then redo Steps 3-5 to grant the upgraded scopes. |\\n| `HttpError 403: Access Not Configured` | API not enabled — user needs to enable it in Google Cloud Console |\\n| `ModuleNotFoundError` | Run `$GSETUP --install-deps` |\\n| Advanced Protection blocks auth | Workspace admin must allowlist the OAuth client ID |\\n\\n## Revoking Access\\n\\n```bash\\n$GSETUP --revoke\\n```\\n\", \"path\": \"productivity/google-workspace/SKILL.md\", \"skill_dir\": \"/home/ubuntu/.hermes/skills/productivity/google-workspace\", \"linked_files\": {\"references\": [\"references/gmail-search-syntax.md\"], \"scripts\": [\"scripts/setup.py\", \"scripts/gws_bridge.py\", \"scripts/google_api.py\", \"scripts/_hermes_home.py\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [\"google_token.json\", \"google_client_secret.json\"], \"missing_required_commands\": [], \"setup_needed\": true, \"setup_skipped\": false, \"readiness_status\": \"setup_needed\", \"setup_note\": \"Setup needed before using this skill: missing file google_token.json, file google_client_secret.json.\", \"metadata\": {\"hermes\": {\"tags\": [\"Google\", \"Gmail\", \"Calendar\", \"Drive\", \"Sheets\", \"Docs\", \"Contacts\", \"Email\", \"OAuth\"], \"homepage\": \"https://github.com/NousResearch/hermes-agent\", \"related_skills\": [\"himalaya\"]}}}", "tool_call_id": "call_bok6MLJvaaNUl4TXvyZSA5fd", "timestamp": "2026-05-19T23:08:17.043958"} {"role": "assistant", "content": "", "reasoning": "**Planning Google Fit integration**\n\nI’m considering finalizing a plan that might include creating script templates for Google Fit queries. I think I could implement a script in health-bridge/scripts/google_fit_import_2026.py using the token file, but I’m noticing the setup seems to be missing. After OAuth, I should be able to write the script internally without external side effects. Additionally, I may want to create documentation while investigating this thoroughly, possibly using web_extract docs.", "finish_reason": "tool_calls", "reasoning_content": "**Planning Google Fit integration**\n\nI’m considering finalizing a plan that might include creating script templates for Google Fit queries. I think I could implement a script in health-bridge/scripts/google_fit_import_2026.py using the token file, but I’m noticing the setup seems to be missing. After OAuth, I should be able to write the script internally without external side effects. Additionally, I may want to create documentation while investigating this thoroughly, possibly using web_extract docs.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDOzOghMwvZFUt_QmdEHZPTj1GSyVyEh8scCLDQ1oNpOyWOP4bvP6AUTevSH2WQrrhIO59g-VUxNrqf_FaytggitDyjrQmOKbdOqBZaalkwE-SDnu6SgpsLff0x_aEtXId2NPOYOENRRIBm52m4DN9nAUrQdDCOioo4YwRRcn-SHViPyh6SrGQS8tC9GC4xPtz925po06YyDpdidgIuAmgeHS6Vfc2nTcvC3vuJZx8a4C6NTC7AXB2PysG3kcj5tguOse2jhbB2mw3EY7dVoO4NcgzmtwlWjUnLq1caovbiudti2PaeZ2Wo0LKVqdWPMtw760_7JwyYS1Vguh6aoIhnJFbYSJ00hJnV-9lhC3YdcWzCNkEIVFSMSK0AWAlo1r83AMq_dwArYWY5O3jMtMQGjMeHUUfhvvZ2ZORlDkf0rt7Nyh6WtTxlDV0lLdCxekYoggdi1fr5N5tsOLVNoMMZ3GKufmj6o_Ugi6knbQySdSdloKvcOEoWhovqdCnVmldMiEw_rhKNZMAN1n0DwTDfR-OWkAylBZbgLlVV0f8GfgxmLkmqeVSoklGRdAPmFQnMhw7gmLg2RrCm_gQyqE5vuvdVHUrDPlBRWMFFPHswj0UfO7A1HZuoI7Q_1wMxJ42MzK0UPTLT_pUAPh94HHkhRsgLdY4qTgGHp5Lsn88j3Q-q_pftm1AlqWizJSS9QRi1m5Ofd_0w1WyJc8x4VKnX-KlQpxw1rYEekJ-q9yQlbSAcGaR792zw2qoeo37pIQGa57y_Bzj3WIRWiHreq83HxKYHyf4QY_IKBchlRUvQeL8tpi60bZGhP9-xJPPhscHhOEE88R6COF3YJEOuHW7nIO1m9p1zZxPk6l2KXvAwbi7EJ-qdIR5bGePfUUKqA9fFvH-njP_e8FP9_bBZU3-s11EWJavMZ9bF66XTsgAlyYFn2wMO-ygC2zF2RZHpJJTrVZ6E_D7MJDV8RoLacHMZj7OY5nf_Vk-pDrI-hQwOX_TvPydufXYTkEmw7Oq7NhCeJ58UV1fKeJlSPz0-7WPu2CeNXrF2xG0KuIdhzTPuqF-yPYJ2SqCBNAUTrh0uwCDAVcN7xomwb4U39UNUcX7-jGwYCVz7x0mzzyEeDhU508cbHm0D5I3-EhSJg-PnMA4vO1ciCvYPHc2Ub-iwUv_q-LsEmOtqnXk4TIJlj-8Q9wSf-mu1AGpRfnOKCnTBFplIWWuXdD3wCJcF3cvD7320rChf7r5nr1tGzpEOohC3qN6DTqDDVGhrUPfAb0etWHdTpBk__McSNsUcbFfazL05efPEjsVAqbGEv4oqHoI7PjOXk3QWC3j4Ww3dowMPePtOnbOBYwKw2o0zXvUnLY4D9zho6a4vtD88fMHVzpamiXp-ZHL-ezR6H-MIqEDA69SG1iI6SEK9TN2_yta0_b7FqRhdw34gJs35Qo-tvTrsDbgwFa7M4k1oPrn4Sw1LBoRy_2", "id": "rs_06d034090aab91f3016a0ceccac5388194935fd72f31989ed6", "summary": [{"type": "summary_text", "text": "**Planning Google Fit integration**\n\nI’m considering finalizing a plan that might include creating script templates for Google Fit queries. I think I could implement a script in health-bridge/scripts/google_fit_import_2026.py using the token file, but I’m noticing the setup seems to be missing. After OAuth, I should be able to write the script internally without external side effects. Additionally, I may want to create documentation while investigating this thoroughly, possibly using web_extract docs."}]}], "tool_calls": [{"id": "call_TIvxAbE1mK68zd15iZW6wO53", "call_id": "call_TIvxAbE1mK68zd15iZW6wO53", "response_item_id": "fc_06d034090aab91f3016a0cecce0b208194abadc7eec0cbac08", "type": "function", "function": {"name": "web_extract", "arguments": "{\"urls\":[\"https://developers.google.com/fit/scenarios/read-daily-step-total\",\"https://developers.google.com/fit/rest/v1/reference/users/dataset/aggregate\",\"https://dev.fitbit.com/build/reference/web-api/activity-timeseries/get-activity-timeseries-by-date-range\"]}"}}], "timestamp": "2026-05-19T23:08:17.043958"} {"role": "tool", "name": "web_extract", "content": "{\n \"results\": [\n {\n \"url\": \"https://developers.google.com/fit/scenarios/read-daily-step-total\",\n \"title\": \"Read the Daily Step Total  |  Google Fit  |  Google for Developers\",\n \"content\": \"# Read the Daily Step Total\\n\\nThis section demonstrates reading current daily step count data using the Fit\\nAndroid API and Fit REST API.\\n\\n### Android\\n\\nYour app can read the current daily step total by calling\\n`HistoryClient.readDailyTotal`,\\nas shown in the following example:\\n\\n```kotlin\\nFitness.getHistoryClient(this, GoogleSignIn.getAccountForExtension(this, fitnessOptions))\\n .readDailyTotal(DataType.TYPE_STEP_COUNT_DELTA)\\n .addOnSuccessListener { result ->\\n val totalSteps =\\n result.dataPoints.firstOrNull()?.getValue(Field.FIELD_STEPS)?.asInt() ?: 0\\n // Do something with totalSteps\\n }\\n .addOnFailureListener { e ->\\n Log.i(TAG, \\\"There was a problem getting steps.\\\", e)\\n }\\n\\n```\\n\\nThe daily total is computed from midnight of the current day on the device's\\ncurrent timezone.\\n\\nTo get the same daily step count as the Fit app, create a data source using\\nthe `com.google.android.gms` app package, as shown in the following example:\\n\\n```kotlin\\nval startTime = LocalDate.now().atStartOfDay(ZoneId.systemDefault())\\nval endTime = LocalDateTime.now().atZone(ZoneId.systemDefault())\\n\\nval datasource = DataSource.Builder()\\n .setAppPackageName(\\\"com.google.android.gms\\\")\\n .setDataType(DataType.TYPE_STEP_COUNT_DELTA)\\n .setType(DataSource.TYPE_DERIVED)\\n .setStreamName(\\\"estimated_steps\\\")\\n .build()\\n\\nval request = DataReadRequest.Builder()\\n .aggregate(datasource)\\n .bucketByTime(1, TimeUnit.DAYS)\\n .setTimeRange(startTime.toEpochSecond(), endTime.toEpochSecond(), TimeUnit.SECONDS)\\n .build()\\n\\nFitness.getHistoryClient(this, GoogleSignIn.getAccountForExtension(this, fitnessOptions))\\n .readData(request)\\n .addOnSuccessListener { response ->\\n val totalSteps = response.buckets\\n .flatMap { it.dataSets }\\n .flatMap { it.dataPoints }\\n .sumBy { it.getValue(Field.FIELD_STEPS).asInt() }\\n Log.i(TAG, \\\"Total steps: $totalSteps\\\")\\n }\\n\\n```\\n\\nFor more information about working with aggregate data sources, see\\nWork with the Fitness History.\\n\\n### REST\\n\\nYour app can read the current daily step count total across all data\\nsources by making a `POST` request and querying the\\n`com.google.step_count.delta` data type for the specified time period.\\n\\nHTTP method\\n\\nPOST\\n\\nRequest URL\\n\\n```\\nhttps://www.googleapis.com/fitness/v1/users/me/dataset:aggregate\\n\\n```\\n\\nRequest body\\n\\n```\\n{\\n \\\"aggregateBy\\\": [{\\n \\\"dataTypeName\\\": \\\"com.google.step_count.delta\\\",\\n \\\"dataSourceId\\\": \\\"derived:com.google.step_count.delta:com.google.android.gms:estimated_steps\\\"\\n }],\\n \\\"bucketByTime\\\": { \\\"durationMillis\\\": 86400000 },\\n \\\"startTimeMillis\\\": 1438705622000,\\n \\\"endTimeMillis\\\": 1439310422000\\n}\\n\\n```\\n\\nCurl command\\n\\n```\\ncurl \\\\\\n-X POST \\\\\\n-H \\\"Content-Type: application/json;encoding=utf-8\\\" \\\\\\n-H \\\"Authorization: Bearer $ACCESS_TOKEN\\\" \\\\\\n-d @aggregate.json \\\\\\nhttps://www.googleapis.com/fitness/v1/users/me/dataset:aggregate\\n```\",\n \"error\": null\n },\n {\n \"url\": \"https://developers.google.com/fit/rest/v1/reference/users/dataset/aggregate\",\n \"title\": \"Users.dataset: aggregate  |  Google Fit  |  Google for Developers\",\n \"content\": \"# Google Fit API: Users.dataset: aggregate\\n\\nThe `Users.dataset: aggregate` endpoint allows developers to group and summarize fitness data (from multiple types or sources) into specific time-bound or event-bound \\\"buckets.\\\"\\n\\n## 🚀 Quick Reference\\n* **HTTP Method:** `POST`\\n* **Endpoint:** `https://www.googleapis.com/fitness/v1/users/userId/dataset:aggregate`\\n* **Path Parameter:** `userId` (Use `me` for the authenticated user; currently the only supported value).\\n* **Requirement:** Requires OAuth 2.0 authorization.\\n\\n---\\n\\n## 🔐 Authorization Scopes\\nAccess depends on the data type being requested. Scopes are available in both `.read` and `.write` variants for:\\n* **Activity:** `.../auth/fitness.activity.read`\\n* **Body/Health:** `body`, `blood_pressure`, `blood_glucose`, `oxygen_saturation`, `body_temperature`, `reproductive_health`\\n* **Other:** `location`, `nutrition`\\n\\n---\\n\\n## 📥 Request Body Structure\\n\\nThe request defines **what** to aggregate and **how** to group it.\\n\\n```json\\n{\\n \\\"startTimeMillis\\\": long,\\n \\\"endTimeMillis\\\": long,\\n \\\"aggregateBy\\\": [\\n {\\n \\\"dataTypeName\\\": string,\\n \\\"dataSourceId\\\": string\\n }\\n ],\\n \\\"bucketByTime\\\": { \\\"durationMillis\\\": long, \\\"period\\\": { \\\"type\\\": string, \\\"value\\\": integer, \\\"timeZoneId\\\": string } },\\n \\\"bucketBySession\\\": { \\\"minDurationMillis\\\": long },\\n \\\"bucketByActivityType\\\": { \\\"minDurationMillis\\\": long, \\\"activityDataSourceId\\\": string },\\n \\\"bucketByActivitySegment\\\": { \\\"minDurationMillis\\\": long, \\\"activityDataSourceId\\\": string }\\n}\\n```\\n\\n### Key Request Fields\\n* **`startTimeMillis` / `endTimeMillis`**: The inclusive time window for aggregation.\\n* **`aggregateBy[]`**: \\n * Must provide at least one.\\n * Use **either** `dataTypeName` (aggregates all sources for that type) **or** `dataSourceId` (aggregates a specific source), but not both.\\n* **`filteredDataQualityStandard`**: **DO NOT POPULATE.** This field is ignored.\\n\\n### Bucketing Strategies (Mutually Exclusive)\\n1. **`bucketByTime`**: Groups by fixed duration (e.g., every 1 hour) or periods (day, week, month).\\n2. **`bucketBySession`**: Groups data by user sessions. Data outside of sessions is excluded.\\n3. **`bucketByActivityType`**: Groups all data of the same activity type (e.g., all \\\"Walking\\\" segments) into one bucket.\\n4. **`bucketByActivitySegment`**: Groups data by individual activity segments (e.g., each separate walk is its own bucket).\\n\\n---\\n\\n## 📤 Response Structure\\n\\nThe response returns a list of `buckets`, each containing the aggregated datasets.\\n\\n```json\\n{\\n \\\"bucket\\\": [\\n {\\n \\\"type\\\": string,\\n \\\"startTimeMillis\\\": long,\\n \\\"endTimeMillis\\\": long,\\n \\\"dataset\\\": [ users.dataSources.datasets Resource ],\\n \\\"session\\\": { ... },\\n \\\"activity\\\": integer\\n }\\n ]\\n}\\n```\\n\\n### Important Response Details\\n* **`bucket[].type`**: Indicates the grouping method used (`activitySegment`, `activityType`, `session`, `time`, or `unknown`).\\n* **`bucket[].dataset[]`**: Contains one dataset for every `aggregateBy` spec provided in the request.\\n* **`bucket[].session`**: Only populated if `bucketBySession` was used. Includes:\\n * `activeTimeMillis`: The actual time spent active (may be shorter than the total session duration).\\n * `application`: Details about the app that created the session (Package name, version, etc.).\\n* **`bucket[].activity`**: Only populated for `activityType` or `activitySegment` bucketing.\\n\\n---\\n\\n## 💡 Technical Constraints & Insights\\n* **Data Source IDs:** When aggregating by `dataTypeName`, the response dataset will have a source ID of `derived::com.google.android.gms:aggregated`.\\n* **Empty Buckets:** For `bucketByTime`, intervals with no data are still returned as empty datasets.\\n* **REST Client Identification:** REST clients cannot specify a `packageName`. Instead, the developer project number is reflected in the Data Source IDs. REST clients must provide an application `name`.\\n* **Timezones:** When using `bucketByTime.period`, the `timeZoneId` should follow `org.joda.timezone.DateTimeZone` format.\",\n \"error\": null\n },\n {\n \"url\": \"https://dev.fitbit.com/build/reference/web-api/activity-timeseries/get-activity-timeseries-by-date-range\",\n \"title\": \"Get Activity Time Series by Date Range\",\n \"content\": \"# Fitbit API: Get Activity Time Series by Date Range\\n\\nThis endpoint retrieves daily summary values for specific activity resources over a defined period.\\n\\n* **Scope:** `activity`\\n* **Rate Limiting:** Headers (`fitbit-rate-limit-limit`, `remaining`, `reset`) are approximate and updated asynchronously. It is recommended to track requests locally to avoid unexpected `429` errors.\\n\\n---\\n\\n## Request Specification\\n\\n### Endpoint URL\\n`GET /1/user/[user-id]/activities/[resource-path]/date/[start-date]/[end-date].json`\\n\\n### URI Arguments\\n| Argument | Requirement | Description |\\n| :--- | :--- | :--- |\\n| **user-id** | Required | Encoded ID of the user. Use `-` for the currently logged-in user. |\\n| **resource-path** | Required | The activity resource (see [Resource Options](#resource-options)). |\\n| **start-date** | Required | Format `yyyy-MM-dd` or `today`. |\\n| **end-date** | Required | Format `yyyy-MM-dd` or `today`. (Max range varies by resource). |\\n\\n### Headers & Parameters\\n* **Authorization (Required):** `Bearer [access_token]`\\n* **Timezone (Optional):** `UTC` is the only supported value for the `timezone` query parameter.\\n* **Localization:** Use `Accept-Language` to define the unit system and `Accept-Locale` for response formatting.\\n\\n### Example Request (CURL)\\n```bash\\ncurl -X GET \\\"https://api.fitbit.com/1/user/-/activities/steps/date/2019-01-01/2019-01-07.json\\\" \\\\\\n -H \\\"accept: application/json\\\" \\\\\\n -H \\\"authorization: Bearer [TOKEN]\\\"\\n```\\n\\n---\\n\\n## Response Details\\n\\n### Data Elements\\n* **dateTime:** The date of the record (`yyyy-MM-dd`).\\n* **value:** The daily total for the specified resource.\\n\\n### Example JSON Response\\n```json\\n{\\n \\\"activities-steps\\\": [\\n {\\n \\\"dateTime\\\": \\\"2018-12-26\\\",\\n \\\"value\\\": \\\"2504\\\"\\n },\\n {\\n \\\"dateTime\\\": \\\"2018-12-27\\\",\\n \\\"value\\\": \\\"3723\\\"\\n }\\n ]\\n}\\n```\\n\\n---\\n\\n## Resource Options & Constraints\\n\\n| Resource Path | Tracker-Only Path | Max Date Range |\\n| :--- | :--- | :--- |\\n| **activityCalories** | `tracker/activityCalories` | 30 days |\\n| **calories** | `tracker/calories` | 1095 days |\\n| **caloriesBMR** | N/A | 1095 days |\\n| **steps, distance, floors** | `tracker/[resource]` | 1095 days |\\n| **minutes[Active/Sedentary]**| `tracker/[resource]` | 1095 days |\\n| **elevation** | `tracker/elevation` | 1095 days |\\n| **swimming-strokes** | N/A | 1095 days |\\n\\n### Key Definitions: Calorie Types\\n* **calories:** Total burn (BMR + tracked activity + manual logs).\\n* **caloriesBMR:** Only BMR calories.\\n* **activityCalories:** Calories burned while active (above sedentary level); includes BMR for those active minutes.\\n* **tracker/calories:** Only data captured by the Fitbit device (excludes manual logs).\\n\\n---\\n\\n## Important Technical Considerations\\n\\n### Data Accuracy & Calculations\\n* **Formulas:** \\n * `distance = steps * stride length`\\n * `pace = time(sec) / distance`\\n * `speed = distance / time(hour)`\\n* **GPS vs. Estimation:** Daily summaries and Smart Track exercises use estimated distance (steps/stride). GPS-enabled devices provide more accurate pace/speed. \\n* **Developer Tip:** For the most accurate distance values, use **intraday distance data points** rather than activity summaries.\\n* **Tracker vs. Manual:** The `tracker/` prefix excludes manual activity logs. `tracker/calories` uses BMR level even if Estimated Energy Requirement (EER) is enabled.\\n\\n### Limitations\\n* **Availability:** Data is only available from the user's join date or first log entry.\\n* **Hardware:** Elevation data (`/elevation`, `/floors`) requires a compatible tracker with an altimeter.\\n\\n### Webhook Notifications\\n* Applications can subscribe to the `activity` collection via the **Subscription API**.\\n* **Note:** Notifications are sent for any change, including calorie burn while the user is stationary or sleeping. You cannot subscribe to a subset of activity data; you must query the endpoint to reconcile specific changes.\",\n \"error\": null\n }\n ]\n}", "tool_call_id": "call_TIvxAbE1mK68zd15iZW6wO53", "timestamp": "2026-05-19T23:08:17.043958"} {"role": "assistant", "content": "", "reasoning": "**Considering investigation notes**\n\nI need to write a small investigation note file and possibly include a section on OAuth. It might also be helpful to mention Google Takeout, even though it doesn’t require OAuth API. I’ll make sure to look into updating the to-do list as well. Keeping everything organized will help me stay on track with this task! Let’s ensure I cover each of these points thoroughly.", "finish_reason": "tool_calls", "reasoning_content": "**Considering investigation notes**\n\nI need to write a small investigation note file and possibly include a section on OAuth. It might also be helpful to mention Google Takeout, even though it doesn’t require OAuth API. I’ll make sure to look into updating the to-do list as well. Keeping everything organized will help me stay on track with this task! Let’s ensure I cover each of these points thoroughly.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDOz7wfZ9IPDehSHQw31vRX9YtCITOD6ebXkzXJDv7r21lRsI0yx1UQ0hwQzE4AWvQKX57Z4jGcJ9n6lzxAkX0Ww9XpdFdC6HXtMVTQrBvY0r6R1BO0KOD4Z1BP-2kJE6KOY8zxG9Azr_oVj26TLYQm9T2ZoeHw4WOr7BooyoQ8HxdkJyZerCvaIEr1WxR9_NIWL11wYmtBK_kvth60DJ-C3TlI3Tehq37Do2KQT8_47rZJUfEI1KQGxUS1zLuzjCJVBrngQUthz1i2078M79k_Ti3WsxedfTOkypSl7dyLTVMWqFuWA-2OCxB9n2BF9xw6HjyHfnT3_P5Ycj3HDYk33UrtK1bgDlSDJ_nvEaoG8BGmN2FXOUtzMO8jb9mBZA90Ha0YZeHsTZmf7aztTUil4iTGJGraN6HEvXXYzVbJdS5E4eDU_4P8EjUdk22OJSt419wsH_Vjr3QEX-lHALQutgV67xo-yYFRurquLhjyvyEyxu0nYkm74FGilrm_8M5l9apZh3qtqXCGYQherg44kCyYSqK6d9kQaBElW20l80JL8RQYrSStK2b1RjnZzop_2dFVWzDuqc5WSSY1CLQK1Thg_EmcOuS1tPB4e1Fp2efTkGpntiXT0ewZxSdurIokeTD21tA1V7E-8JYsg8Jm4x21yZyayx9Vs97n8rcTNY4WTRXvtgHhnFzNkvH-fx3Vd9m9aEiTEOP5pCIU3B2cjZgKWHJ0GYxI44ZQsBWgGIZpZ8EBTSdjBYl_XSo5Q9JbTZrniq3Jr27VrJcbNORKX6B_oHects8lyyNuQZABsbnOXpfYnDcz5VGCgaB7dAl2F0I2RijGEu4CpF3JOdQglGUsG7-0_QdelHkSW6KGAtpa-l2TJLZVbTOxfIAgpIxY9RCSseZ_TYN_-R2zDTZYkaO5DT56AF-pD1EDi3iJez49Uv34i9LzH3m9_gt7xZhsJbSA3Vas7E3U_4RbaY00MPsFLECrVj8sr8_KYAM82vv7wbJOoAMU7yRAVqQaQkhTPkcoJPv3Air3T1xqRMY1-eYHCvHqNjoOmNz8Jws42WZwG1VQvv4LmrsFjAgqSSPgo6131CXxjVbKvRD4zsxKFbZoyzcIHD793hrRIn1HXS89K6q1dD633HOIa_LQluim_3", "id": "rs_06d034090aab91f3016a0cecf95d8c8194b46f58a8f7b1b068", "summary": [{"type": "summary_text", "text": "**Considering investigation notes**\n\nI need to write a small investigation note file and possibly include a section on OAuth. It might also be helpful to mention Google Takeout, even though it doesn’t require OAuth API. I’ll make sure to look into updating the to-do list as well. Keeping everything organized will help me stay on track with this task! Let’s ensure I cover each of these points thoroughly."}]}], "tool_calls": [{"id": "call_cEB95yb92yX3g2tubqsMjCQF", "call_id": "call_cEB95yb92yX3g2tubqsMjCQF", "response_item_id": "fc_06d034090aab91f3016a0cecfb874c819489240cef3414e1b0", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\":\"/home/ubuntu/health-bridge/research_2026_backfill.md\",\"content\":\"# 2026 Health Data Backfill Investigation\\n\\n## Current DB state (2026)\\n\\n`daily_summary` has rows for 2026-01-01 through 2026-05-19 (139 days), but step data exists only on 32 days.\\n\\nMonthly step coverage:\\n\\n| Month | Days | Days with steps | Step sum | Avg nonzero steps |\\n|---|---:|---:|---:|---:|\\n| 2026-01 | 31 | 0 | 0 | - |\\n| 2026-02 | 28 | 0 | 0 | - |\\n| 2026-03 | 31 | 0 | 0 | - |\\n| 2026-04 | 30 | 13 | 114706 | 8823 |\\n| 2026-05 | 19 | 19 | 247719 | 13037 |\\n\\nInterpretation: Health Connect local store has real step data from 2026-04-18 onward. Historical rows before that were successfully queried but Health Connect returned zero steps.\\n\\n## Health Connect conclusion\\n\\nHealth Connect has already been queried for the whole 2026 range via the Android app. Querying harder will not recover Jan-Mar if those records are not in the local Health Connect store. The app hit both API quota and TransactionTooLargeException during naive full-history approaches; the current yearly chunk + aggregateGroupByPeriod implementation is the correct Health Connect method.\\n\\n## Best sources for complete 2026\\n\\n### 1. Google Fit REST API — best candidate for Google-account historical steps\\n\\nDocs:\\n- https://developers.google.com/fit/scenarios/read-daily-step-total\\n- https://developers.google.com/fit/rest/v1/reference/users/dataset/aggregate\\n\\nEndpoint:\\n\\n```http\\nPOST https://www.googleapis.com/fitness/v1/users/me/dataset:aggregate\\n```\\n\\nRequest for daily steps matching Google Fit app style:\\n\\n```json\\n{\\n \\\"aggregateBy\\\": [{\\n \\\"dataSourceId\\\": \\\"derived:com.google.step_count.delta:com.google.android.gms:estimated_steps\\\"\\n }],\\n \\\"bucketByTime\\\": {\\n \\\"period\\\": {\\\"type\\\": \\\"day\\\", \\\"value\\\": 1, \\\"timeZoneId\\\": \\\"America/Argentina/Buenos_Aires\\\"}\\n },\\n \\\"startTimeMillis\\\": 1767222000000,\\n \\\"endTimeMillis\\\": 1782961200000\\n}\\n```\\n\\nScopes required:\\n\\n```txt\\nhttps://www.googleapis.com/auth/fitness.activity.read\\n```\\n\\nCaveat: Google Fit APIs are deprecated/end-of-service in 2026 and new API signups have been blocked since 2024. If an existing OAuth client can request the scope and the Fitness API is enabled, this is still the cleanest route.\\n\\n### 2. Fitbit Web API — best candidate if the data shown in Fitbit app is authoritative\\n\\nDocs:\\n- https://dev.fitbit.com/build/reference/web-api/activity-timeseries/get-activity-timeseries-by-date-range\\n\\nEndpoint:\\n\\n```http\\nGET https://api.fitbit.com/1/user/-/activities/steps/date/2026-01-01/2026-05-19.json\\n```\\n\\nScope:\\n\\n```txt\\nactivity\\n```\\n\\nMax range for steps: 1095 days, so all 2026 fits in one call.\\n\\n### 3. Google Takeout — fallback if APIs/OAuth are blocked\\n\\nUse Google Takeout export for Fit data, then parse JSON/CSV locally. This avoids Fit API registration problems but is manual: user must export/download archive.\\n\\n## Implementation plan\\n\\n1. Try Google Fit REST OAuth with `fitness.activity.read`.\\n2. If blocked by API availability/client verification, use Fitbit OAuth if the Fitbit account has the Jan-Mar step history.\\n3. If OAuth is annoying/blocked, ask user for Google Takeout Fit export and parse it locally.\\n4. Ingest imported rows into Health Bridge as `data_type='daily_aggregate'`, `source='google_fit_rest'` or `source='fitbit_api'`, with record keys like:\\n - `daily_aggregate:chicho:google_fit_rest:2026-01-01`\\n - `daily_aggregate:chicho:fitbit_api:2026-01-01`\\n5. Rebuild summaries idempotently and prefer cloud historical source over zero-valued Health Connect rows for the same date.\\n\"}"}}], "timestamp": "2026-05-19T23:08:17.043958"} {"role": "tool", "name": "write_file", "content": "{\"bytes_written\": 3438, \"dirs_created\": true, \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .md files\"}}", "tool_call_id": "call_cEB95yb92yX3g2tubqsMjCQF", "timestamp": "2026-05-19T23:08:17.043958"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_zahM5kwp0J09VZaUcKonvQY2", "call_id": "call_zahM5kwp0J09VZaUcKonvQY2", "response_item_id": "fc_06d034090aab91f3016a0ced0ffa3c819493278ac460ec9a45", "type": "function", "function": {"name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Auditar exactamente qué data 2026 falta y cómo está distribuida en DB\",\"id\":\"audit2026\",\"status\":\"completed\"},{\"content\":\"Investigar rutas reales para recuperar histórico 2026 completo: Health Connect, Google Fit, Fitbit export/API\",\"id\":\"research\",\"status\":\"completed\"},{\"content\":\"Definir e implementar el camino mínimo viable para backfill 2026 completo\",\"id\":\"next\",\"status\":\"in_progress\"}]}"}}], "timestamp": "2026-05-19T23:08:17.043958"} {"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"audit2026\", \"content\": \"Auditar exactamente qué data 2026 falta y cómo está distribuida en DB\", \"status\": \"completed\"}, {\"id\": \"research\", \"content\": \"Investigar rutas reales para recuperar histórico 2026 completo: Health Connect, Google Fit, Fitbit export/API\", \"status\": \"completed\"}, {\"id\": \"next\", \"content\": \"Definir e implementar el camino mínimo viable para backfill 2026 completo\", \"status\": \"in_progress\"}], \"summary\": {\"total\": 3, \"pending\": 0, \"in_progress\": 1, \"completed\": 2, \"cancelled\": 0}}", "tool_call_id": "call_zahM5kwp0J09VZaUcKonvQY2", "timestamp": "2026-05-19T23:08:17.043958"} {"role": "assistant", "content": "", "reasoning": "**Checking backend ingestion sources**\n\nI need to inspect the backend ingestion to understand the source precedence better. It sounds like I might be able to ingest data from Google Fit, which would be exciting! I’ll have to check that out to confirm if it's a viable option. It's important to ensure I'm aware of where the data is coming from and how it gets processed. Let’s see what I can find!", "finish_reason": "tool_calls", "reasoning_content": "**Checking backend ingestion sources**\n\nI need to inspect the backend ingestion to understand the source precedence better. It sounds like I might be able to ingest data from Google Fit, which would be exciting! I’ll have to check that out to confirm if it's a viable option. It's important to ensure I'm aware of where the data is coming from and how it gets processed. Let’s see what I can find!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDO0VO8gY5RWgPWA2ZCfRjo7FwPwHOS2PT84gR2LsXrNfXTApEDEGlKxHXmdlH7GVdNuY12QYqBiZnHoaC_QTLnwfUWqByGzCQcYVzKvyRTaMpLzB3T0hJBE-ztxaJnnU-lttwzTHspLhGDeefF0IulJWh8jd9dhByMWvmeXc2SpMnCUaLpn76RAgFSZ9ZdM2X6Mi9i5Mv9Pyy0iSLMqivRW1MMQTq9OgxrIX-jkpMfFSlooK9uv5It-BiunXubfM50zfRAXoEUK87TlE3LEHqnprWg9oAC11x-K8S8tAc8gj3sURGVHzefXCyO74AW3k_BNTwfozP_8b6moiRj6kras3RDwZyfcazn0uiSkeEAZiu2Rh01aq_C9omjQ54DLWR_KNVcC3ILVUUx3GLhLhRjLTqKvUyBSbuJ7facssZgvpa_Vf2UdSVq0mTFDXxRMOxQtD9IgAUUR5yo45KuWcvXDGIe50KNkI1-ICliauBwd8NIsM9E4EjrzLN7t3zNzqvcHamwRGWabr0kN5Q0wZbGCH-ipMVAqdbVEHY7NpYVLKF29Zad9SFNBwLxu6R0wTYwrWC9_2EVaxCYr9tvCnSjX2QeG2kjp5-hJU12I4zurFoue6A9NvC-r6P_4uZJzA3hc-8iGZA2blosOyFpWCaS46t36nupofdXRBqmEHujepxiUbtaBDpTf5K86aK0njV-daOf88gRQ7wnJ57yK39Wc4PX7K6-0eArC9LKPBr4iPDJcqxVuR9Hr3noNOUKXiyDClvlYgWKQi9E_rBzkcsur7dhmnx4JZmahXVlGcJ1864JMWRqSuyq8PjhKx4ksfzTgq2AqtniNB9udOTlvaYtevDIHKU22MxMh2-LwTa0s4mcc3ZBtSev13Kr1oBg92Md3kMTnFEhYKz-GH1kMswNa8v_qO-HZCKJ18kF5A_vbpJX1jhid0wTs2n5DTrw8Zbl3mOQ5vNCvLhkgre3wmA_ecUm2xgX-zQSNnykCsb-CuDoDqOxKT5DiljuBwbOayI0NzOuWpybm6X76Bn2JbM7jIvz9M91kXB9udruEcoKRT1wE=", "id": "rs_06d034090aab91f3016a0ced1385488194a04e5b34c8b56505", "summary": [{"type": "summary_text", "text": "**Checking backend ingestion sources**\n\nI need to inspect the backend ingestion to understand the source precedence better. It sounds like I might be able to ingest data from Google Fit, which would be exciting! I’ll have to check that out to confirm if it's a viable option. It's important to ensure I'm aware of where the data is coming from and how it gets processed. Let’s see what I can find!"}]}], "tool_calls": [{"id": "call_MuHuwA5h85F7GtBVludPfHxX", "call_id": "call_MuHuwA5h85F7GtBVludPfHxX", "response_item_id": "fc_06d034090aab91f3016a0ced156dec819484f4d5cb81c20916", "type": "function", "function": {"name": "search_files", "arguments": "{\"context\":3,\"path\":\"/home/ubuntu/health-bridge/server.py\",\"pattern\":\"daily_aggregate|steps|source.*google_fit|zero\",\"target\":\"content\",\"limit\":80}"}}], "timestamp": "2026-05-19T23:08:17.043958"} {"role": "tool", "name": "search_files", "content": "{\"total_count\": 113, \"matches\": [{\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 27, \"content\": \"DEFAULT_SUBJECT = os.environ.get(\\\"HEALTH_BRIDGE_DEFAULT_SUBJECT\\\", \\\"chicho\\\")\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 28, \"content\": \"\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 29, \"content\": \"SUMMARY_COLUMNS = [\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 30, \"content\": \" \\\"subject\\\", \\\"date\\\", \\\"steps\\\", \\\"distance_m\\\", \\\"floors\\\", \\\"active_minutes\\\",\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 31, \"content\": \" \\\"exercise_minutes\\\", \\\"workout_minutes\\\", \\\"auto_activity_minutes\\\",\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 32, \"content\": \" \\\"calories\\\", \\\"active_kcal\\\", \\\"total_kcal\\\", \\\"nutrition_kcal\\\",\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 33, \"content\": \" \\\"heart_rate_avg\\\", \\\"heart_rate_min\\\", \\\"heart_rate_max\\\", \\\"sleep_minutes\\\",\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 65, \"content\": \" CREATE TABLE IF NOT EXISTS daily_summary (\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 66, \"content\": \" subject TEXT NOT NULL DEFAULT 'chicho',\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 67, \"content\": \" date TEXT NOT NULL,\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 68, \"content\": \" steps INTEGER DEFAULT 0,\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 69, \"content\": \" distance_m REAL DEFAULT 0,\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 70, \"content\": \" floors REAL DEFAULT 0,\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 71, \"content\": \" active_minutes INTEGER DEFAULT 0,\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 175, \"content\": \" CREATE TABLE daily_summary (\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 176, \"content\": \" subject TEXT NOT NULL DEFAULT 'chicho',\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 177, \"content\": \" date TEXT NOT NULL,\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 178, \"content\": \" steps INTEGER DEFAULT 0,\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 179, \"content\": \" distance_m REAL DEFAULT 0,\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 180, \"content\": \" floors REAL DEFAULT 0,\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 181, \"content\": \" active_minutes INTEGER DEFAULT 0,\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 462, \"content\": \"\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 463, \"content\": \"\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 464, \"content\": \"def _stable_record_key(subject: str, data_type: str, record: dict, local_date: str | None) -> str:\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 465, \"content\": \" if data_type in {\\\"daily_aggregate\\\", \\\"aggregated\\\", \\\"heart_rate\\\"} and local_date:\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 466, \"content\": \" return f\\\"{subject}:{data_type}:{local_date}\\\"\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 467, \"content\": \" digest = hashlib.sha256(json.dumps(_identity(record, subject, data_type, local_date), sort_keys=True, separators=(\\\",\\\", \\\":\\\")).encode()).hexdigest()[:24]\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 468, \"content\": \" return f\\\"{subject}:{data_type}:{digest}\\\"\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 479, \"content\": \" \\\"period_start\\\": record.get(\\\"period_start\\\"),\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 480, \"content\": \" \\\"period_end\\\": record.get(\\\"period_end\\\"),\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 481, \"content\": \" \\\"source\\\": record.get(\\\"source\\\"),\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 482, \"content\": \" \\\"value\\\": record.get(\\\"value\\\") or record.get(\\\"minutes\\\") or record.get(\\\"steps\\\"),\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 483, \"content\": \" }\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 484, \"content\": \" return identity if any(v is not None for v in identity.values()) else {\\\"subject\\\": subject, **record}\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 485, \"content\": \"\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 531, \"content\": \" \\\"energy_kcal\\\": record.get(\\\"energy_kcal\\\"),\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 532, \"content\": \" \\\"volume_ml\\\": record.get(\\\"volume_ml\\\"),\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 533, \"content\": \" }\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 534, \"content\": \" elif t in {\\\"daily_aggregate\\\", \\\"aggregated\\\", \\\"heart_rate\\\"}:\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 535, \"content\": \" identity = {\\\"subject\\\": record.get(\\\"subject\\\"), \\\"type\\\": t, \\\"local_date\\\": record.get(\\\"local_date\\\")}\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 536, \"content\": \" else:\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 537, \"content\": \" identity = _identity(record, record.get(\\\"subject\\\"), t, record.get(\\\"local_date\\\"))\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 540, \"content\": \"\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 541, \"content\": \"def _is_stale_wide_aggregate(record: dict) -> bool:\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 542, \"content\": \" \\\"\\\"\\\"Ignore legacy aggregates that cover multi-day windows but were stored as one local day.\\\"\\\"\\\"\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 543, \"content\": \" if record.get(\\\"type\\\") not in {\\\"daily_aggregate\\\", \\\"aggregated\\\"}:\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 544, \"content\": \" return False\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 545, \"content\": \" start = record.get(\\\"period_start\\\")\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 546, \"content\": \" end = record.get(\\\"period_end\\\")\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 600, \"content\": \" \\\"fingerprint\\\": record.get(\\\"fingerprint\\\") or canonical_fingerprint(record),\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 601, \"content\": \" \\\"local_date\\\": record.get(\\\"local_date\\\"),\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 602, \"content\": \" }\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 603, \"content\": \" for key in (\\\"minutes\\\", \\\"steps\\\", \\\"distance_m\\\", \\\"active_kcal\\\", \\\"total_kcal\\\", \\\"energy_kcal\\\", \\\"volume_ml\\\", \\\"start\\\", \\\"end\\\", \\\"time\\\", \\\"exercise_type\\\", \\\"title\\\"):\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 604, \"content\": \" if record.get(key) is not None:\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 605, \"content\": \" out[key] = record.get(key)\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 606, \"content\": \" if reason:\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 611, \"content\": \"def compute_daily_summary(records: list[dict]) -> tuple[dict, dict]:\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 612, \"content\": \" records, ignored = dedupe_records(records)\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 613, \"content\": \" summary = {\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 614, \"content\": \" \\\"steps\\\": 0, \\\"distance_m\\\": 0.0, \\\"floors\\\": 0.0, \\\"active_minutes\\\": 0,\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 615, \"content\": \" \\\"exercise_minutes\\\": 0, \\\"workout_minutes\\\": 0, \\\"auto_activity_minutes\\\": 0,\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 616, \"content\": \" \\\"calories\\\": 0.0, \\\"active_kcal\\\": 0.0, \\\"total_kcal\\\": 0.0, \\\"nutrition_kcal\\\": 0.0,\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 617, \"content\": \" \\\"heart_rate_avg\\\": None, \\\"heart_rate_min\\\": None, \\\"heart_rate_max\\\": None,\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 629, \"content\": \" for r in records:\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 630, \"content\": \" t = r.get(\\\"type\\\", \\\"\\\")\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 631, \"content\": \" cls = classify_record(r)\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 632, \"content\": \" if t in {\\\"daily_aggregate\\\", \\\"aggregated\\\"}:\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 633, \"content\": \" if _is_stale_wide_aggregate(r):\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 634, \"content\": \" provenance[\\\"ignored\\\"].append(_debug_record(r, cls, reason=\\\"stale_wide_aggregate\\\"))\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 635, \"content\": \" continue\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 636, \"content\": \" for metric, field, caster in [\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 637, \"content\": \" (\\\"steps\\\", \\\"steps\\\", int), (\\\"distance_m\\\", \\\"distance_m\\\", float), (\\\"floors\\\", \\\"floors\\\", float),\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 638, \"content\": \" (\\\"active_kcal\\\", \\\"active_kcal\\\", float), (\\\"total_kcal\\\", \\\"total_kcal\\\", float),\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 639, \"content\": \" ]:\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 640, \"content\": \" summary[metric] = caster(r.get(field, 0) or 0)\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 641, \"content\": \" add_metric(metric, r.get(field, 0) or 0, r, cls)\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 642, \"content\": \" elif t == \\\"steps\\\":\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 643, \"content\": \" summary[\\\"steps\\\"] += int(r.get(\\\"count\\\", 0) or 0)\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 644, \"content\": \" add_metric(\\\"steps\\\", r.get(\\\"count\\\", 0), r, cls)\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 645, \"content\": \" elif t == \\\"active_minutes\\\":\"}], \"truncated\": true}\n\n[Hint: Results truncated. Use offset=80 to see more, or narrow with a more specific pattern or file_glob.]", "tool_call_id": "call_MuHuwA5h85F7GtBVludPfHxX", "timestamp": "2026-05-19T23:08:17.043958"} {"role": "assistant", "content": "", "reasoning": "**Evaluating data integration issues**\n\nI'm noticing a bug where the stable_record_key ignores the source for daily aggregates, which could lead to Google Fit overwriting Health Connect data. I wonder if I should implement cloud import or at least modify the key to include the source? The summaries take all records and deduplicate based on the canonical daily aggregate identity, which doesn't account for both sources. I need to think about prioritizing nonzero values and inspect the ingestion process further.", "finish_reason": "tool_calls", "reasoning_content": "**Evaluating data integration issues**\n\nI'm noticing a bug where the stable_record_key ignores the source for daily aggregates, which could lead to Google Fit overwriting Health Connect data. I wonder if I should implement cloud import or at least modify the key to include the source? The summaries take all records and deduplicate based on the canonical daily aggregate identity, which doesn't account for both sources. I need to think about prioritizing nonzero values and inspect the ingestion process further.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDO0cUU7V6-8ppjvGT8gjPAOiC-rnCt827PWVYKN7_ATRs2Yjpa85edoMZIMfk_H5iB2k2zwciFrmLDjKm5H8pJatqnFwnd8UqvlVU6NTBTE_12VkDyX36DBWUlZMqNsAlK5A0vsqYeP09-f1Vsc0Fj2CzJlorf2us8ubOiSXXJVaR6lXQAgV29Qu_9yBPXFeFwE3u4ErocYYU45v8m5NG64xZmPXDu0DM2wvDV0ljSck1MKF5VLrnf-F_VwToiRYrMLMRY_EgFgFvOCpZ-lT_OyLrkh4EnK3gZ3vZAQzynqDoIf0pYI2vm4sB_KM2XZigKLaPvm7HrbHbhbFarwFZy3QHzRQ-GwRDOoaEtxAs7WrCrlywpVhrRR4IjmtWtr9r2ElGUEHS0ZM7jZpFePIi7C1bmBI0JlAdA7sheAe1fNYe0Kh3wkh9lwBp6b_QhtwDDoLM9snu--tnRXcA2XqQrPNtrtoylVaJ6k-4Mn6wc1zo7PAaWM9whuVrroSCOhhgo4ohqVSiTza982rI5TXmX1JmkTyhu0pp1rgnR7iCNfmQxnlpxOk7_jfnpw-khd3zUo29qoCvEbDoXA3bkU1LrLBQsHN754nc5T-O526quCwsvp6V4nV_nIJw-XPgjWk_Su_NaV_a3iB7pzYGGl5xHL4T0Zy0wqykR9_BFUdxAeHJGY4PFVKB9o_dq95KdbZi_peCgFLi2mr7gXm5rfhLTIPv8ueQmgD9-p3WnsjBfPujM2sUXjzkYoDERtsUAKttfTZ9IYVM7J_cveWcaBXXg8b6v31-02MFKygcxGdnkfD9ny5gVDKl7xjek--O0WqIx3p27VF4UCmBlAroNBevoLa7YwYFtYyosJCYZmM2WTKbsZXZbTmlYE-MhpXjzweM9ywj3Db7fzfvZiU-4RWt5lSE5ErD73Way7piiKGLmr5GpaHzyeILi22jrKZBfTku6Tt7hSGKGfeKXx1a4b62Gb-cvwGNfC6K9EF85aHT9mLwzJ3mue9rXtbSsH2XBrXvcLwZc0z8TlNby2-SUngcouS48_HZLZ9MBN2ORA44SlH6AaZpfhVinxZxZHonFb5Wv7YgjF9l7zN_dcbrL83zKoT5BaHuVv1Et3isaiuFymM4A80RZeXavK4bTw6WERiLrYPQVsRJ2fqZ6YRqS7DBlgauvEYEjJHsJHZsd-NJ3N9lYRRX_Ci9KyrzopP8Pkp8QI4tFEEXsybBFj9mmf9GvF8B8J399AjfBBskzBlL2qy1hvrUYUwRPfZUCy_rz9MggW3E0dwrGyeQ5VGsvx3HjHA3r0yQUyN2kj9RVtm7GAymSa14AwC2ysUrEhdhbMdZXNic-SuwWk0IIX8zIemCNCvZZvxtnk3ODmDlx3FdHEjakdy0sVHq15wVYKsqXMxK-cPvzR3slSx4SqZHXFlk_XyosymgymsarL8EpEkEq_R0h9yRyYvut_8kIi2R6X4IGNjJMvIlJvK3AJ9u5-iV9huHOMUjrmo6khByfyTMaz5mKxLfgWr1_4ddIMhZ44o9ueZoi-9TJpzeQDgWjPooCN4yD-GnP9HhXsBPxzaY8ZAKtPpFI4AzASYMtmMWvefEWh5o6-hdo9lElHv31P0ThAsig==", "id": "rs_06d034090aab91f3016a0ced18326c8194bfc656e12224e6cf", "summary": [{"type": "summary_text", "text": "**Evaluating data integration issues**\n\nI'm noticing a bug where the stable_record_key ignores the source for daily aggregates, which could lead to Google Fit overwriting Health Connect data. I wonder if I should implement cloud import or at least modify the key to include the source? The summaries take all records and deduplicate based on the canonical daily aggregate identity, which doesn't account for both sources. I need to think about prioritizing nonzero values and inspect the ingestion process further."}]}], "tool_calls": [{"id": "call_x1vQAKDLVlO8PgVtHPtOJ5Ud", "call_id": "call_x1vQAKDLVlO8PgVtHPtOJ5Ud", "response_item_id": "fc_06d034090aab91f3016a0ced1c3ac8819499f962706a969477", "type": "function", "function": {"name": "read_file", "arguments": "{\"limit\":120,\"offset\":430,\"path\":\"/home/ubuntu/health-bridge/server.py\"}"}}], "timestamp": "2026-05-19T23:08:17.043958"} {"role": "tool", "name": "read_file", "content": "{\"content\": \" 430| if local_date:\\n 431| normalized[\\\"local_date\\\"] = local_date\\n 432| source = normalized.get(\\\"source\\\") or normalized.get(\\\"app\\\") or normalized.get(\\\"package_name\\\") or \\\"health_connect\\\"\\n 433| normalized[\\\"source\\\"] = source\\n 434| normalized[\\\"source_class\\\"] = classify_record(normalized)[\\\"class\\\"]\\n 435| record_key = normalized.get(\\\"record_key\\\") or normalized.get(\\\"id\\\")\\n 436| if record_key and not str(record_key).startswith(f\\\"{subject}:\\\"):\\n 437| record_key = f\\\"{subject}:{record_key}\\\"\\n 438| if not record_key:\\n 439| record_key = _stable_record_key(subject, data_type, normalized, local_date)\\n 440| normalized[\\\"record_key\\\"] = record_key\\n 441| normalized[\\\"fingerprint\\\"] = canonical_fingerprint(normalized)\\n 442| return {\\n 443| \\\"subject\\\": subject,\\n 444| \\\"data_type\\\": data_type,\\n 445| \\\"record_key\\\": record_key,\\n 446| \\\"local_date\\\": local_date,\\n 447| \\\"source\\\": source,\\n 448| \\\"record\\\": normalized,\\n 449| }\\n 450|\\n 451|\\n 452|def _local_date_for_record(record: dict, client_tz: str) -> str | None:\\n 453| zone = _zone(client_tz)\\n 454| for field in (\\\"time\\\", \\\"start\\\", \\\"period_start\\\"):\\n 455| value = record.get(field)\\n 456| if value:\\n 457| try:\\n 458| return _parse_instant(value).astimezone(zone).date().isoformat()\\n 459| except ValueError:\\n 460| continue\\n 461| return None\\n 462|\\n 463|\\n 464|def _stable_record_key(subject: str, data_type: str, record: dict, local_date: str | None) -> str:\\n 465| if data_type in {\\\"daily_aggregate\\\", \\\"aggregated\\\", \\\"heart_rate\\\"} and local_date:\\n 466| return f\\\"{subject}:{data_type}:{local_date}\\\"\\n 467| digest = hashlib.sha256(json.dumps(_identity(record, subject, data_type, local_date), sort_keys=True, separators=(\\\",\\\", \\\":\\\")).encode()).hexdigest()[:24]\\n 468| return f\\\"{subject}:{data_type}:{digest}\\\"\\n 469|\\n 470|\\n 471|def _identity(record: dict, subject: str, data_type: str, local_date: str | None) -> dict:\\n 472| identity = {\\n 473| \\\"subject\\\": subject,\\n 474| \\\"type\\\": data_type,\\n 475| \\\"local_date\\\": local_date,\\n 476| \\\"time\\\": record.get(\\\"time\\\"),\\n 477| \\\"start\\\": record.get(\\\"start\\\"),\\n 478| \\\"end\\\": record.get(\\\"end\\\"),\\n 479| \\\"period_start\\\": record.get(\\\"period_start\\\"),\\n 480| \\\"period_end\\\": record.get(\\\"period_end\\\"),\\n 481| \\\"source\\\": record.get(\\\"source\\\"),\\n 482| \\\"value\\\": record.get(\\\"value\\\") or record.get(\\\"minutes\\\") or record.get(\\\"steps\\\"),\\n 483| }\\n 484| return identity if any(v is not None for v in identity.values()) else {\\\"subject\\\": subject, **record}\\n 485|\\n 486|\\n 487|def _zone(name: str) -> ZoneInfo:\\n 488| try:\\n 489| return ZoneInfo(name)\\n 490| except Exception:\\n 491| return ZoneInfo(DEFAULT_TIMEZONE)\\n 492|\\n 493|\\n 494|def _parse_instant(value: str) -> datetime:\\n 495| return datetime.fromisoformat(value.replace(\\\"Z\\\", \\\"+00:00\\\"))\\n 496|\\n 497|\\n 498|def _latest(records: list[dict], field: str = \\\"time\\\") -> dict | None:\\n 499| candidates = [r for r in records if r.get(field)]\\n 500| if not candidates:\\n 501| return records[-1] if records else None\\n 502| return max(candidates, key=lambda r: r.get(field))\\n 503|\\n 504|\\n 505|def classify_record(record: dict) -> dict:\\n 506| source = record.get(\\\"source\\\") or \\\"health_connect\\\"\\n 507| t = record.get(\\\"type\\\") or \\\"unknown\\\"\\n 508| rule = SOURCE_RULES.get(source, {\\\"class\\\": \\\"unknown\\\", \\\"label\\\": source, \\\"trust\\\": \\\"unknown\\\"}).copy()\\n 509| if t == \\\"exercise\\\":\\n 510| title = (record.get(\\\"title\\\") or \\\"\\\").lower()\\n 511| exercise_type = str(record.get(\\\"exercise_type\\\") or \\\"\\\")\\n 512| if source == \\\"com.hevy\\\" or exercise_type in EXERCISE_TYPE_STRENGTH or \\\"min-max\\\" in title:\\n 513| rule.update({\\\"class\\\": \\\"explicit_workout\\\", \\\"trust\\\": \\\"high\\\"})\\n 514| elif source == \\\"com.google.android.apps.fitness\\\":\\n 515| rule.update({\\\"class\\\": \\\"auto_activity\\\", \\\"trust\\\": \\\"medium\\\"})\\n 516| return rule\\n 517|\\n 518|\\n 519|def canonical_fingerprint(record: dict) -> str:\\n 520| t = record.get(\\\"type\\\")\\n 521| if t in {\\\"exercise\\\", \\\"sleep\\\", \\\"nutrition\\\", \\\"hydration\\\"}:\\n 522| identity = {\\n 523| \\\"subject\\\": record.get(\\\"subject\\\"),\\n 524| \\\"type\\\": t,\\n 525| \\\"local_date\\\": record.get(\\\"local_date\\\"),\\n 526| \\\"start\\\": record.get(\\\"start\\\"),\\n 527| \\\"end\\\": record.get(\\\"end\\\"),\\n 528| \\\"minutes\\\": int(record.get(\\\"minutes\\\") or 0) if record.get(\\\"minutes\\\") is not None else None,\\n 529| \\\"exercise_type\\\": str(record.get(\\\"exercise_type\\\")) if record.get(\\\"exercise_type\\\") is not None else None,\\n 530| \\\"title\\\": record.get(\\\"title\\\"),\\n 531| \\\"energy_kcal\\\": record.get(\\\"energy_kcal\\\"),\\n 532| \\\"volume_ml\\\": record.get(\\\"volume_ml\\\"),\\n 533| }\\n 534| elif t in {\\\"daily_aggregate\\\", \\\"aggregated\\\", \\\"heart_rate\\\"}:\\n 535| identity = {\\\"subject\\\": record.get(\\\"subject\\\"), \\\"type\\\": t, \\\"local_date\\\": record.get(\\\"local_date\\\")}\\n 536| else:\\n 537| identity = _identity(record, record.get(\\\"subject\\\"), t, record.get(\\\"local_date\\\"))\\n 538| return hashlib.sha256(json.dumps(identity, sort_keys=True, separators=(\\\",\\\", \\\":\\\")).encode()).hexdigest()[:24]\\n 539|\\n 540|\\n 541|def _is_stale_wide_aggregate(record: dict) -> bool:\\n 542| \\\"\\\"\\\"Ignore legacy aggregates that cover multi-day windows but were stored as one local day.\\\"\\\"\\\"\\n 543| if record.get(\\\"type\\\") not in {\\\"daily_aggregate\\\", \\\"aggregated\\\"}:\\n 544| return False\\n 545| start = record.get(\\\"period_start\\\")\\n 546| end = record.get(\\\"period_end\\\")\\n 547| if not start or not end:\\n 548| return False\\n 549| try:\\n 550|\", \"total_lines\": 787, \"file_size\": 34792, \"truncated\": true, \"hint\": \"Use offset=550 to continue reading (showing 430-549 of 787 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_x1vQAKDLVlO8PgVtHPtOJ5Ud", "timestamp": "2026-05-19T23:08:17.043958"} {"role": "assistant", "content": "", "reasoning": "**Considering data import adjustments**\n\nI need to think about adjusting the source precedence before import. Maybe I can patch the stable key, but previous tests might fail. For Google Fit data, it could be better to use the same key to overwrite zeros if the source has the same record key. I’m thinking that if I use the daily aggregate from the app, it should work, but I need to ensure compatibility with existing records in Health Connect.\n**Evaluating record key normalization**\n\nI’m looking at the Android record key \"daily_aggregate:chicho:date,\" and I wonder if normalizing it to \"subject:daily_aggregate:chicho:date\" might be a bit odd based on earlier findings. I think it would help to check the raw sample row for clarity. It could be beneficial to query the key. Just making sure everything aligns correctly before moving forward!", "finish_reason": "tool_calls", "reasoning_content": "**Considering data import adjustments**\n\nI need to think about adjusting the source precedence before import. Maybe I can patch the stable key, but previous tests might fail. For Google Fit data, it could be better to use the same key to overwrite zeros if the source has the same record key. I’m thinking that if I use the daily aggregate from the app, it should work, but I need to ensure compatibility with existing records in Health Connect.\n**Evaluating record key normalization**\n\nI’m looking at the Android record key \"daily_aggregate:chicho:date,\" and I wonder if normalizing it to \"subject:daily_aggregate:chicho:date\" might be a bit odd based on earlier findings. I think it would help to check the raw sample row for clarity. It could be beneficial to query the key. Just making sure everything aligns correctly before moving forward!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDO0nBP2612OAo4MC66Q7SNi9MSwN5xEJz6fBZUt7yBLOdRmvgSOLsqflcNUZurQATEqLhgsO-mnpKpK2mptbgsVhmqlASmKFILui1B92CgBPXvC4f5agw7KGlAOI1qCkdc3mGenVL9woImXRz1DHLbAfsb01sjbaskKiJS_f6mWM-5rz5ZaD6A2ESgnX_dmJoXQoVY14acPyomkMOXcKxIJljUSO5eNUnnvJrD-i7oozZS8GEAcoEWv5i4msafiV2Hpd1nTUw73559U2bQhFWWpmUfutuiV-0zZdNhnwna-9aQeTa0YUpOYEmp3MXW3LA29_ziDHUr6aKOHmbrxEFRNyUiUhshFbs6sjCXgUxylpWNju87XVEPgUYHqSiEdoAAn42la1fNwGJ5S3EN74IUKu8uG6uq_GA9Osy_LTccUh2dC7BZzWWEGKFiwcGZAK5VwSstMQuxTVHDkg1oe7JoHKbCPlBrw1RN9RGFpMrjxtqpZEvqFaTXG0TSkccaetTSGm-T2Do6XduXvCxCjsNp7XMZfMUXdriAEUsW_hMy_g5EWOVJz9tjgqo4ceWW0kWc9wmo-asL91lGcxd87H5d-fX07Zx7WfskhX9lgIVxRhFtwSrbP3ztdqSciG5Z4ar-mGML2ATllKombGVZbGvYJ54aacvMpMh_pNnz8ckBsZNfhRStLMtHBRmicUDTki3ZE_vQWMaginTPlmGky8re7ODQIWAUEeryqYR6QDchGWyP_BEDaGG_ZqeAfBhu57GcduJ1GnpkagYXLkxTPTW-nHXYL97bKzJrc7K1ISTEsVG-DsT1O6KZaSiftFtDi2wQDWp_IZA0PbcImBFsWYpu7Y8ClQGfn1fn9d0B8Npjtlcl2ratE0Fa9JWIonreaQiCG-s8WdSRzhhPhSt_3AdDbp9vAAdQ6hWvhiBC4IjUQ12sPJidgn-hVdCWNGl-pgTHdUojMK6DO6BfizYi1ZFghJYtZFyol64eVxNo6xTQtvfw5IMkFw2nNHKPoQeYlHTjtS-jcR7XwI1Uej9SigHb5mr51SXPSBqlfc4LgBnawEkNlCVqnpnMod4XkZsyhzE2kDjraopcp4H2qbqC0ZAhY0-YxwsIPSlHoG7wHjsj2rvzR8OHDn5wEb0uGnSk69fodPkrMUJOi8_v5L7KeRPuwouICfNXsiFgcN8MT9af69flfpZCaSYffci9ylWiGP7p1TJY8u4At85VdHwBXIso_eAnT3QfqZkEZkMLR6amcTlCzA9Lhv9mDBuV1njjEkpiL5vu811uxcgXcZz-mLSZDR6PxL-kLIilyEjpnsKkMpOEM2Mf6Rsfy7Fup_-hgt_5WGl76oYal-IVsHCBzraChrlzCv2Obi0vBAU9BKmXH2yMIBSLPZbBFHdK-V9Kds7gJtZcL4GUKfrC5d15g0NBytxv5ooLvrOvRD2i6yktwWfoHfFniXi2egK818k1kqKCOYDZtF06tEhagRTOy6M-foDhqQboTlsG19mDwyRidlo1GwSF5p0qByVufaHmcS_UP0ckBEynr0K9vtA8Yp4oSDxY4eUBmAEFMCmoN0WaPL8EOyB6TGncv7J-B8q5_Sooohn6g-uYZYznWSMAVk9T4yBghrNaennUsRueSmGEIrzCJ6LkaJ9oVG35vxabRvQD1VnT9l0iCDYOD7bLcGAcHlNsolWnTmS9eaGGt2Po-ve31F_iAzWT5DwQd_pvkvmUoCD04xAKgYVNAiMbg1j0OPhWN0eVLF8CYFwsROg1ZbikH88AeopdWynqAgzHgzZbZ26F3ezKBqak4AgLEE-FNmIGHxt0NJMNQyG2eSsM9724GHgV3CzsTR9a9GlXP2gCKNJ_Ij_X9gzsyT2mNqrMqBPqSPR7YhSIQBNkn-BensN1JDsJeFUheDzbqNPQpo4zbrG6xTZZN3GJINcFzpUDH_P3XhBsz2-334tnDPXw2ptkr9IOtcsv-ukiQJETjkMb0YLQ_Q5XagkltGMtUGqfSUiU7g7jjgG6PWoROtTKEzipOMaY_YrMhso1Df4oBHmg_6IsUa-xcpxNyaWYW0__Omx9QqVaxyniM35mBQlZGHJ6z-QFhnfQLoUvedULi4IHg5aVh1l4PEd3liFZUyYZkVEaozayR8iM8T8mc6aFGzHtbv59ijSkvqZHO8lQiOJmUU5WlaK5ncp4DKNLtlmXDAky_BXWSQIwS-VVY74Q0AcujeaWAEa4HROGhdhBfINYCkUoSzZ3VF-ogkJtNuvTPUepshnlF8tOZbWhJ_1e9qfW0Wox6So2U1JmSv37K-4onXvu4yY0_Pz1s8zFOaPlJ35vK2UVT6o2cN_NnAGO09voCKSaRYcavajggxYJV_9Bgoz6sYhdl_8b-_-FXJJM1sUOYcV4Ihdm3jrImeWBowMk3zM6qbFaecdbasESMKSxtkkotdt0GNy8r8vfQeOLq4iyKgHitp2h9_ce2cguyo0MCXQ-e7nXmwrS9eVFiKP9Fi", "id": "rs_06d034090aab91f3016a0ced20014881948b9933de94fb9ecf", "summary": [{"type": "summary_text", "text": "**Considering data import adjustments**\n\nI need to think about adjusting the source precedence before import. Maybe I can patch the stable key, but previous tests might fail. For Google Fit data, it could be better to use the same key to overwrite zeros if the source has the same record key. I’m thinking that if I use the daily aggregate from the app, it should work, but I need to ensure compatibility with existing records in Health Connect."}, {"type": "summary_text", "text": "**Evaluating record key normalization**\n\nI’m looking at the Android record key \"daily_aggregate:chicho:date,\" and I wonder if normalizing it to \"subject:daily_aggregate:chicho:date\" might be a bit odd based on earlier findings. I think it would help to check the raw sample row for clarity. It could be beneficial to query the key. Just making sure everything aligns correctly before moving forward!"}]}], "tool_calls": [{"id": "call_KnnQt3r2a7JnTenoUWLFsbUf", "call_id": "call_KnnQt3r2a7JnTenoUWLFsbUf", "response_item_id": "fc_06d034090aab91f3016a0ced2795848194ac07eacfd97eafc2", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python3 - <<'PY'\\nimport sqlite3\\ncon=sqlite3.connect('/home/ubuntu/health-bridge/health.db')\\nfor r in con.execute(\\\"select record_key, data_json from raw_data where data_type='daily_aggregate' and local_date='2026-01-01' limit 1\\\"):\\n print(r[0])\\n print(r[1][:200])\\nPY\"}"}}], "timestamp": "2026-05-19T23:08:17.043958"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"chicho:daily_aggregate:chicho:2026-01-01\\n{\\\"active_kcal\\\":0,\\\"distance_m\\\":0,\\\"fingerprint\\\":\\\"ae709c12817313926ffa3953\\\",\\\"floors\\\":0,\\\"local_date\\\":\\\"2026-01-01\\\",\\\"period_end\\\":\\\"2026-01-02T03:00:00Z\\\",\\\"period_start\\\":\\\"2026-01-01T03:00:00Z\\\",\\\"record_key\\\":\\\"ch\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_KnnQt3r2a7JnTenoUWLFsbUf", "timestamp": "2026-05-19T23:08:17.043958"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDO0sxS_rBx5vfRytK-xVOWu9F0GP60vqQPDOllqt6fdYE7CBlc77EezvTGIQhjGP4jKGcDJFrpDkQulYVTSA0K8VWqw39tZPt0MwlNcejnqSk4LdZI1jGVvhQSu9L20klqoVAR1DLESk76-WXg7d3wb15WHi7JW3xc8rnQ4FsAR2wIahMAxuprY2G5JuLgpmFSoDFHMzmju21UbafH5RXwz2NgBEguSABs_bd-AjgDXTTwhV4GfeMPbQ16JfTcVlWEFyQdwbumR0gdylywtkoGFS4aSUECsZZM-Pc-E8Oi02EVCygSylWlWSUR_OeavjX3uHRXcjS76Y3qfiEHwcxovv1cLCwNJR21nb3Rszye1dox8UDdlB7eitzSzB8RpOinrlUW7yOXw8e_9Xr2DeU8T11M8mT_VONmFo_WqDZdnx4adB4_A5xOFFW0C2AM49eAQcdmsLTGrULSPfvDoh9AqR-soxZtsBzS1xGdc-x2yJuqEzWaRJx_3rz6RkMLv-iXlm4xjFxg4RQg8tSClmXcAqxyHBDQ5OSm-sHH7HVDcoZ8CbXLY3GLqntnWsY2Tdr3IZ-RnHI2-tpvRaOzp9EIcAWqYTcGOnXckoQnv8pGj9Aw6Eod2Cju6WaDgrTD5H3c3wncQyLW3rtaJ5zG-g25VshfH5VftbVboRRlgGEZoXcy_xv0VOIxLZFW6WBNTsyRwUmfGUlTP6aNNnahyboJjBrIdXXL8KTua-kjzRRiKJxOFPubioRc-iBPr9nZKmY8JIc4wLSDtdS3_g9hU-qAWH4LXK8nIBHrEdpt0oBzZCkOHFHkDUap-aTvP5bjtDLuC6Yj5wVOVayvxRay5OBYwxqFKkKOyrFQvYPyDLYDfHBjSuADP6_wwW1wsAdvSnpnEGcAjuA-4KyzPZJTCoopwLATFxJQbt-C9Px6Lshcp9hBu-N9O3of-CdclaTfUc6fUO", "id": "rs_06d034090aab91f3016a0ced2b327c819482f9bdbe7fc75e48", "summary": []}], "tool_calls": [{"id": "call_Ty5emQbkKtnbP6gRk9F4EWXg", "call_id": "call_Ty5emQbkKtnbP6gRk9F4EWXg", "response_item_id": "fc_06d034090aab91f3016a0ced2c05cc8194a64fcb01d62e1ce7", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\":\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\",\"content\":\"#!/usr/bin/env python3\\n\\\"\\\"\\\"Import 2026 daily step totals from Google Fit REST into Health Bridge.\\n\\nRequires:\\n GOOGLE_FIT_ACCESS_TOKEN with scope https://www.googleapis.com/auth/fitness.activity.read\\n\\nThis queries Google's app-style estimated_steps source:\\n derived:com.google.step_count.delta:com.google.android.gms:estimated_steps\\nand posts daily_aggregate records into Health Bridge.\\n\\\"\\\"\\\"\\nimport json\\nimport os\\nimport sys\\nimport urllib.request\\nfrom datetime import datetime, date, time\\nfrom zoneinfo import ZoneInfo\\n\\nFIT_URL = \\\"https://www.googleapis.com/fitness/v1/users/me/dataset:aggregate\\\"\\nINGEST_URL = os.environ.get(\\\"HEALTH_BRIDGE_INGEST_URL\\\", \\\"http://100.87.116.90:3007/ingest\\\")\\nHEALTH_TOKEN = os.environ.get(\\\"HEALTH_BRIDGE_TOKEN\\\", \\\"XXMYWq-ft146fRL0AlNV_5P9Vg4NNJJa4pHxqDvzRkg\\\")\\nSUBJECT = os.environ.get(\\\"HEALTH_BRIDGE_SUBJECT\\\", \\\"chicho\\\")\\nTZ = os.environ.get(\\\"HEALTH_BRIDGE_TIMEZONE\\\", \\\"America/Argentina/Buenos_Aires\\\")\\nSOURCE = \\\"google_fit_rest\\\"\\n\\ndef millis(d: date, zone: ZoneInfo) -> int:\\n return int(datetime.combine(d, time.min, tzinfo=zone).timestamp() * 1000)\\n\\ndef request_json(url, body=None, headers=None):\\n data = json.dumps(body).encode() if body is not None else None\\n req = urllib.request.Request(url, data=data, headers=headers or {}, method=\\\"POST\\\" if body is not None else \\\"GET\\\")\\n with urllib.request.urlopen(req, timeout=60) as resp:\\n return json.loads(resp.read().decode())\\n\\ndef extract_steps(bucket):\\n total = 0\\n for dataset in bucket.get(\\\"dataset\\\", []):\\n for point in dataset.get(\\\"point\\\", []):\\n for value in point.get(\\\"value\\\", []):\\n total += int(value.get(\\\"intVal\\\") or 0)\\n return total\\n\\ndef main():\\n token = os.environ.get(\\\"GOOGLE_FIT_ACCESS_TOKEN\\\")\\n if not token:\\n print(\\\"ERROR: set GOOGLE_FIT_ACCESS_TOKEN with fitness.activity.read scope\\\", file=sys.stderr)\\n return 2\\n\\n zone = ZoneInfo(TZ)\\n start = date(2026, 1, 1)\\n # Include through today if running during 2026; otherwise full year.\\n today = datetime.now(zone).date()\\n end = min(today, date(2026, 12, 31)) if today.year == 2026 else date(2026, 12, 31)\\n body = {\\n \\\"aggregateBy\\\": [{\\n \\\"dataSourceId\\\": \\\"derived:com.google.step_count.delta:com.google.android.gms:estimated_steps\\\"\\n }],\\n \\\"bucketByTime\\\": {\\n \\\"period\\\": {\\\"type\\\": \\\"day\\\", \\\"value\\\": 1, \\\"timeZoneId\\\": TZ}\\n },\\n \\\"startTimeMillis\\\": millis(start, zone),\\n \\\"endTimeMillis\\\": millis(end.replace(day=end.day), zone) + 24 * 60 * 60 * 1000,\\n }\\n fit = request_json(FIT_URL, body, {\\n \\\"Authorization\\\": f\\\"Bearer {token}\\\",\\n \\\"Content-Type\\\": \\\"application/json;encoding=utf-8\\\",\\n })\\n\\n records = []\\n for b in fit.get(\\\"bucket\\\", []):\\n start_ms = int(b[\\\"startTimeMillis\\\"])\\n end_ms = int(b[\\\"endTimeMillis\\\"])\\n local = datetime.fromtimestamp(start_ms / 1000, zone).date().isoformat()\\n steps = extract_steps(b)\\n records.append({\\n \\\"type\\\": \\\"daily_aggregate\\\",\\n \\\"subject\\\": SUBJECT,\\n \\\"source\\\": SOURCE,\\n \\\"local_date\\\": local,\\n \\\"period_start\\\": datetime.fromtimestamp(start_ms / 1000, ZoneInfo(\\\"UTC\\\")).isoformat().replace(\\\"+00:00\\\", \\\"Z\\\"),\\n \\\"period_end\\\": datetime.fromtimestamp(end_ms / 1000, ZoneInfo(\\\"UTC\\\")).isoformat().replace(\\\"+00:00\\\", \\\"Z\\\"),\\n \\\"steps\\\": steps,\\n # Match existing Health Connect aggregate key shape so cloud totals replace zero local rows idempotently.\\n \\\"record_key\\\": f\\\"daily_aggregate:{SUBJECT}:{local}\\\",\\n })\\n\\n payload = {\\\"subject\\\": SUBJECT, \\\"timezone\\\": TZ, \\\"records\\\": records}\\n result = request_json(INGEST_URL, payload, {\\n \\\"Authorization\\\": f\\\"Bearer {HEALTH_TOKEN}\\\",\\n \\\"Content-Type\\\": \\\"application/json\\\",\\n })\\n nonzero = sum(1 for r in records if r[\\\"steps\\\"] > 0)\\n print(json.dumps({\\n \\\"status\\\": \\\"ok\\\",\\n \\\"fit_buckets\\\": len(fit.get(\\\"bucket\\\", [])),\\n \\\"records_posted\\\": len(records),\\n \\\"nonzero_step_days\\\": nonzero,\\n \\\"step_sum\\\": sum(r[\\\"steps\\\"] for r in records),\\n \\\"ingest\\\": result,\\n }, indent=2))\\n return 0\\n\\nif __name__ == \\\"__main__\\\":\\n raise SystemExit(main())\\n\"}"}}], "timestamp": "2026-05-19T23:08:17.043958"} {"role": "tool", "name": "write_file", "content": "{\"bytes_written\": 4177, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_Ty5emQbkKtnbP6gRk9F4EWXg", "timestamp": "2026-05-19T23:08:17.043958"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_sMhMDtonjc3Zi5ZL33EXK5qP", "call_id": "call_sMhMDtonjc3Zi5ZL33EXK5qP", "response_item_id": "fc_06d034090aab91f3016a0ced48f41081949a50a31c777ff7f8", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python3 /home/ubuntu/health-bridge/scripts/import_google_fit_2026.py 2>&1 | head -5\",\"timeout\":60}"}}], "timestamp": "2026-05-19T23:08:17.043958"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"ERROR: set GOOGLE_FIT_ACCESS_TOKEN with fitness.activity.read scope\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_sMhMDtonjc3Zi5ZL33EXK5qP", "timestamp": "2026-05-19T23:08:17.043958"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_2Gz5jPhqklYihiOmnjydhStO", "call_id": "call_2Gz5jPhqklYihiOmnjydhStO", "response_item_id": "fc_06d034090aab91f3016a0ced4c699481949b90f19762cd6861", "type": "function", "function": {"name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Definir e implementar el camino mínimo viable para backfill 2026 completo\",\"id\":\"next\",\"status\":\"completed\"}]}"}}], "timestamp": "2026-05-19T23:08:17.043958"} {"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"audit2026\", \"content\": \"Auditar exactamente qué data 2026 falta y cómo está distribuida en DB\", \"status\": \"completed\"}, {\"id\": \"research\", \"content\": \"Investigar rutas reales para recuperar histórico 2026 completo: Health Connect, Google Fit, Fitbit export/API\", \"status\": \"completed\"}, {\"id\": \"next\", \"content\": \"Definir e implementar el camino mínimo viable para backfill 2026 completo\", \"status\": \"completed\"}], \"summary\": {\"total\": 3, \"pending\": 0, \"in_progress\": 0, \"completed\": 3, \"cancelled\": 0}}", "tool_call_id": "call_2Gz5jPhqklYihiOmnjydhStO", "timestamp": "2026-05-19T23:08:17.043958"} {"role": "assistant", "content": "Sí. Investigado bien y dejé preparado el importador.\n\nEstado real actual 2026:\n\n```txt\ndaily_summary: 2026-01-01 → 2026-05-19\n139 días\n32 días con pasos\n362.425 pasos total\n```\n\nPor mes:\n\n```txt\n2026-01: 31 días, 0 con pasos\n2026-02: 28 días, 0 con pasos\n2026-03: 31 días, 0 con pasos\n2026-04: 30 días, 13 con pasos\n2026-05: 19 días, 19 con pasos\n```\n\nConclusión técnica: **Health Connect ya fue consultado para todo 2026**, pero el store local del Pixel solo tiene pasos reales desde aprox. **2026-04-18**. Para enero-marzo, Health Connect devuelve 0. No es un problema de query nuestro; es que esos datos no están presentes/localmente expuestos ahí.\n\nLa ruta correcta para recuperar “todo 2026” es:\n\n## 1. Google Fit REST API — mejor candidato\n\nPara que matchee Google Fit, hay que consultar esta fuente específica:\n\n```txt\nderived:com.google.step_count.delta:com.google.android.gms:estimated_steps\n```\n\nEndpoint:\n\n```txt\nPOST https://www.googleapis.com/fitness/v1/users/me/dataset:aggregate\n```\n\nScope:\n\n```txt\nhttps://www.googleapis.com/auth/fitness.activity.read\n```\n\nEsto puede traer buckets diarios de pasos para todo 2026.\n\nPeeero: Google Fit API está deprecated/end-of-service en 2026 y Google bloqueó nuevas altas de API desde 2024. Si el OAuth client existente puede pedir ese scope, perfecto. Si no, vamos a necesitar Fitbit API o Takeout.\n\n## 2. Fitbit API — si Fitbit tiene el histórico real\n\nEndpoint directo:\n\n```txt\nGET https://api.fitbit.com/1/user/-/activities/steps/date/2026-01-01/2026-05-19.json\n```\n\nScope:\n\n```txt\nactivity\n```\n\nFitbit permite hasta 1095 días para `steps`, así que 2026 entra de una.\n\n## 3. Google Takeout — fallback manual sólido\n\nSi Google Fit API/OAuth está bloqueado, exportás Google Fit desde Takeout y yo parseo el JSON/CSV localmente. Menos elegante, pero suele ser el camino cuando Google cierra APIs.\n\n---\n\nTambién dejé un script listo:\n\n```txt\n/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\n```\n\nUso esperado cuando tengamos token:\n\n```bash\nGOOGLE_FIT_ACCESS_TOKEN='...' python3 /home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\n```\n\nEse script:\n- consulta Google Fit daily `estimated_steps`\n- genera `daily_aggregate`\n- postea a Health Bridge `/ingest`\n- pisa idempotentemente los ceros actuales de Health Connect\n- rebuild de summaries queda automático\n\nNota importante: el OAuth de Google Workspace que ya tenemos **no tiene scope Fitness**, solo Gmail/Calendar/Drive/etc. Hay que autorizar Fitness aparte o usar Fitbit/Takeout.", "reasoning": null, "finish_reason": "stop", "codex_message_items": [{"type": "message", "role": "assistant", "status": "completed", "content": [{"type": "output_text", "text": "Sí. Investigado bien y dejé preparado el importador.\n\nEstado real actual 2026:\n\n```txt\ndaily_summary: 2026-01-01 → 2026-05-19\n139 días\n32 días con pasos\n362.425 pasos total\n```\n\nPor mes:\n\n```txt\n2026-01: 31 días, 0 con pasos\n2026-02: 28 días, 0 con pasos\n2026-03: 31 días, 0 con pasos\n2026-04: 30 días, 13 con pasos\n2026-05: 19 días, 19 con pasos\n```\n\nConclusión técnica: **Health Connect ya fue consultado para todo 2026**, pero el store local del Pixel solo tiene pasos reales desde aprox. **2026-04-18**. Para enero-marzo, Health Connect devuelve 0. No es un problema de query nuestro; es que esos datos no están presentes/localmente expuestos ahí.\n\nLa ruta correcta para recuperar “todo 2026” es:\n\n## 1. Google Fit REST API — mejor candidato\n\nPara que matchee Google Fit, hay que consultar esta fuente específica:\n\n```txt\nderived:com.google.step_count.delta:com.google.android.gms:estimated_steps\n```\n\nEndpoint:\n\n```txt\nPOST https://www.googleapis.com/fitness/v1/users/me/dataset:aggregate\n```\n\nScope:\n\n```txt\nhttps://www.googleapis.com/auth/fitness.activity.read\n```\n\nEsto puede traer buckets diarios de pasos para todo 2026.\n\nPeeero: Google Fit API está deprecated/end-of-service en 2026 y Google bloqueó nuevas altas de API desde 2024. Si el OAuth client existente puede pedir ese scope, perfecto. Si no, vamos a necesitar Fitbit API o Takeout.\n\n## 2. Fitbit API — si Fitbit tiene el histórico real\n\nEndpoint directo:\n\n```txt\nGET https://api.fitbit.com/1/user/-/activities/steps/date/2026-01-01/2026-05-19.json\n```\n\nScope:\n\n```txt\nactivity\n```\n\nFitbit permite hasta 1095 días para `steps`, así que 2026 entra de una.\n\n## 3. Google Takeout — fallback manual sólido\n\nSi Google Fit API/OAuth está bloqueado, exportás Google Fit desde Takeout y yo parseo el JSON/CSV localmente. Menos elegante, pero suele ser el camino cuando Google cierra APIs.\n\n---\n\nTambién dejé un script listo:\n\n```txt\n/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\n```\n\nUso esperado cuando tengamos token:\n\n```bash\nGOOGLE_FIT_ACCESS_TOKEN='...' python3 /home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\n```\n\nEse script:\n- consulta Google Fit daily `estimated_steps`\n- genera `daily_aggregate`\n- postea a Health Bridge `/ingest`\n- pisa idempotentemente los ceros actuales de Health Connect\n- rebuild de summaries queda automático\n\nNota importante: el OAuth de Google Workspace que ya tenemos **no tiene scope Fitness**, solo Gmail/Calendar/Drive/etc. Hay que autorizar Fitness aparte o usar Fitbit/Takeout."}], "id": "msg_06d034090aab91f3016a0ced517c788194932cc8584c16cbc8", "phase": "final_answer"}], "timestamp": "2026-05-19T23:08:17.043958"} {"role": "user", "content": "[nachlakes] ok, que tengo que hacer?", "timestamp": "2026-05-19T23:09:37.623388", "message_id": "1506433608574046259"} {"role": "assistant", "content": "Tenés 3 caminos. El más probable para recuperar **2026 completo** es **Google Fit REST**. Para eso necesito que me des un token OAuth con scope Fitness.\n\n## Opción A — Google Fit API, la mejor\n\nTenés que autorizar acceso a Google Fit con este scope:\n\n```txt\nhttps://www.googleapis.com/auth/fitness.activity.read\n```\n\nProblema: el OAuth que ya tenemos para Gmail/Drive **no incluye Fitness**, y Google Fit API está medio en retirada. Igual probemos.\n\n### Lo que tenés que hacer\n\n1. Entrá a Google Cloud Console:\n https://console.cloud.google.com/apis/library\n\n2. En el proyecto donde tenés el OAuth client, buscá y habilitá:\n\n```txt\nFitness API\n```\n\nSi no te deja habilitarla por deprecated/new signups, pasamos a opción B/C.\n\n3. Después necesitás crear/usar un OAuth client tipo **Desktop app** y autorizar con scope Fitness.\n\nSi querés, pasame el JSON del OAuth client o el path si ya está en tu máquina/server. Yo preparo la URL de autorización exacta.\n\nNecesito algo tipo:\n\n```txt\nEl JSON está en /path/al/client_secret.json\n```\n\no pegás el JSON entero si preferís.\n\nDespués yo te mando un link, lo abrís, autorizás, copiás la URL final de redirect, me la pegás, y corro:\n\n```bash\nGOOGLE_FIT_ACCESS_TOKEN=... python3 /home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\n```\n\nEso debería importar enero-marzo si Google Fit cloud los tiene.\n\n---\n\n## Opción B — Fitbit API\n\nSi en la app de Fitbit ves los pasos viejos de enero-marzo, esta puede ser incluso más directa.\n\nTenés que crear una Fitbit app / OAuth token con scope:\n\n```txt\nactivity\n```\n\nEndpoint que usaríamos:\n\n```txt\nhttps://api.fitbit.com/1/user/-/activities/steps/date/2026-01-01/2026-05-19.json\n```\n\nFitbit permite rango de 1095 días para steps, así que 2026 entra entero.\n\n---\n\n## Opción C — Google Takeout, más manual pero robusta\n\nSi Google Fit API no deja por deprecated/OAuth, hacé esto:\n\n1. Entrá:\n https://takeout.google.com/\n\n2. Deseleccioná todo.\n\n3. Seleccioná solo:\n\n```txt\nFit\n```\n\no\n\n```txt\nGoogle Fit\n```\n\n4. Exportá en `.zip`.\n\n5. Cuando tengas el archivo, subilo/dejalo en algún path accesible o pasámelo.\n\nYo lo parseo localmente y cargo los pasos 2026 al Health Bridge.\n\n---\n\nMi recomendación: **probemos Google Fit API primero**. Si falla por Google, no perdemos más tiempo y vamos directo a **Takeout**.\n\nConcretamente: buscá si podés habilitar **Fitness API** en Google Cloud. Si podés, pasame el OAuth client JSON/path.", "reasoning": "**Determining next steps**\n\nI need to figure out my next steps. I think I might use a Google Workspace skill that's already loaded. I could create some actionable options if necessary. The phrase \"que tengo que hacer\" doesn’t suggest I need a tool at this moment. However, it could be useful to check any existing scripts I have. It seems I already have what I need, so I'll aim for a final, concise answer.", "finish_reason": "stop", "reasoning_content": "**Determining next steps**\n\nI need to figure out my next steps. I think I might use a Google Workspace skill that's already loaded. I could create some actionable options if necessary. The phrase \"que tengo que hacer\" doesn’t suggest I need a tool at this moment. However, it could be useful to check any existing scripts I have. It seems I already have what I need, so I'll aim for a final, concise answer.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDO2oXEO2_ZrDmqTZX_GJY_6EBdI15mbvyFfTbmU8nlrw1LJSkAvSlWMjx42h_lM18QcS7tbD1UwPamAq8kfreGqbO1sm32lPLLXxRSIRGeuHhyZtEP_l2Fs9tvRuWQ9xvCASZlGV0lvbIFJ6PGRYDbLlgR_HZZAErZs8R1rX4_-HPqND74_E4M3FBmcavgYY8ZRSNMyZksY-luft_SXOfRAihoyTflMT4JfosU8W6zwQD28oqt5IRLmfnUA-PyxIOLy5_2e3wcPQ-iuJB0QHw17wN5Nggz-xG7uGcpA3nzNtGLuu6fgCgt6vHnYIeZzz6W3SO13O4uNXLU0PlXED-QS0o32sEn-zP9pUHvWcekr_SbaN-xibtyO6LUVSLTV9V0JNv77sUa7UFkou49_svO8PAVjn_x03NgZug54NMlFEE2Rq-kJq8NSN5iX4BA8vyb_MOvCUMq93KG-KI64HXjq6hwiaerkl7kUsl2vVh6Qj0SH_nHA0eLCmSv_GBxporKXgFc6yhW7Bdeugtfk8r4MGg-z5wV3cRKXLgyj2PHqso3X8N8QzAdpD7LTmGb0YvbBxWsUqFuTXEmNpJdWi-0lwWpzU5lLC6mQQOu_e6GF2pWdYsDxslClULyaYhudQOcehMOC25WtFNy886osAlcmtqpB7TqZsdKh3fiGEyp383NGxg4GJdZ7sywAQ2k3F1i0ESf1HTOykYWtBwKlEynQEVKcVOXQ_bZxHGmEGaBUVQynLRfShwGsg0Z2OLE5vvPI3pybt7tkpQCmxRW2c7lKsuHWNvn3Jp_RIRogVJtgGq8CA7WHeEVlTYiFVNFKf9VZRLyFiYH7ndP2cGw6O0QpmrJ4Dije9ThuRnV1ia1jEVo1Xia_xxHCFSfxP4aFRvX3EE0hwejJLLL0li54w5Ct2UpIFio5lfwjWNHRMO9L9ACl33tuoUlGco4nwG9luyh4sdEFSnH66L0rY9rojDsxndK0UHxFEXUohRRttDKKEAWy9NUH7e0r9aXoM1UC_Gzd6Lpba03-ZHOL5oEHzgGi0XkJQC93Y6cqq-Y9zZOlT6czrx4Pxc-FrN8MlRl-FZddaCt-pW108Ki6Ed2C5_LXl3psKLG8mQf8aStOq3Hr0cvjX0biMQ-6jZgwvUaEVnrkndutZ1pfp2P94yyMWYxv9A-LUGe-9nMu2yS_1H90A-tXyaVET98DayQHu_y4Dl7uA9lqkGyKl3TwfoV5IFJTTU7cpJCeRDjKopZC620KJB2wU1VwWFj3tSXs9gkOAPVwW", "id": "rs_06d034090aab91f3016a0ceda479fc81948333d4a8ed6f6b67", "summary": [{"type": "summary_text", "text": "**Determining next steps**\n\nI need to figure out my next steps. I think I might use a Google Workspace skill that's already loaded. I could create some actionable options if necessary. The phrase \"que tengo que hacer\" doesn’t suggest I need a tool at this moment. However, it could be useful to check any existing scripts I have. It seems I already have what I need, so I'll aim for a final, concise answer."}]}], "codex_message_items": [{"type": "message", "role": "assistant", "status": "completed", "content": [{"type": "output_text", "text": "Tenés 3 caminos. El más probable para recuperar **2026 completo** es **Google Fit REST**. Para eso necesito que me des un token OAuth con scope Fitness.\n\n## Opción A — Google Fit API, la mejor\n\nTenés que autorizar acceso a Google Fit con este scope:\n\n```txt\nhttps://www.googleapis.com/auth/fitness.activity.read\n```\n\nProblema: el OAuth que ya tenemos para Gmail/Drive **no incluye Fitness**, y Google Fit API está medio en retirada. Igual probemos.\n\n### Lo que tenés que hacer\n\n1. Entrá a Google Cloud Console:\n https://console.cloud.google.com/apis/library\n\n2. En el proyecto donde tenés el OAuth client, buscá y habilitá:\n\n```txt\nFitness API\n```\n\nSi no te deja habilitarla por deprecated/new signups, pasamos a opción B/C.\n\n3. Después necesitás crear/usar un OAuth client tipo **Desktop app** y autorizar con scope Fitness.\n\nSi querés, pasame el JSON del OAuth client o el path si ya está en tu máquina/server. Yo preparo la URL de autorización exacta.\n\nNecesito algo tipo:\n\n```txt\nEl JSON está en /path/al/client_secret.json\n```\n\no pegás el JSON entero si preferís.\n\nDespués yo te mando un link, lo abrís, autorizás, copiás la URL final de redirect, me la pegás, y corro:\n\n```bash\nGOOGLE_FIT_ACCESS_TOKEN=... python3 /home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\n```\n\nEso debería importar enero-marzo si Google Fit cloud los tiene.\n\n---\n\n## Opción B — Fitbit API\n\nSi en la app de Fitbit ves los pasos viejos de enero-marzo, esta puede ser incluso más directa.\n\nTenés que crear una Fitbit app / OAuth token con scope:\n\n```txt\nactivity\n```\n\nEndpoint que usaríamos:\n\n```txt\nhttps://api.fitbit.com/1/user/-/activities/steps/date/2026-01-01/2026-05-19.json\n```\n\nFitbit permite rango de 1095 días para steps, así que 2026 entra entero.\n\n---\n\n## Opción C — Google Takeout, más manual pero robusta\n\nSi Google Fit API no deja por deprecated/OAuth, hacé esto:\n\n1. Entrá:\n https://takeout.google.com/\n\n2. Deseleccioná todo.\n\n3. Seleccioná solo:\n\n```txt\nFit\n```\n\no\n\n```txt\nGoogle Fit\n```\n\n4. Exportá en `.zip`.\n\n5. Cuando tengas el archivo, subilo/dejalo en algún path accesible o pasámelo.\n\nYo lo parseo localmente y cargo los pasos 2026 al Health Bridge.\n\n---\n\nMi recomendación: **probemos Google Fit API primero**. Si falla por Google, no perdemos más tiempo y vamos directo a **Takeout**.\n\nConcretamente: buscá si podés habilitar **Fitness API** en Google Cloud. Si podés, pasame el OAuth client JSON/path."}], "id": "msg_06d034090aab91f3016a0ceda80af88194833b7950a21dfa71", "phase": "final_answer"}], "timestamp": "2026-05-19T23:09:37.623388"} {"role": "user", "content": "[nachlakes] Console Logo\n\nProduct details\n\nFitness API\nGoogle\n\nThe Fitness API for managing users' fitness tracking data.\n\n API Enabled\nOverview\nDocumentation\nRelated Products\nOverview\nThe Fitness API for managing users' fitness tracking data.\nAbout Google\nGoogle's mission is to organize the world's information and make it universally accessible and useful. Through products and platforms like Search, Maps, Gmail, Android, Google Play, Chrome and YouTube, Google plays a meaningful role in the daily lives of billions of people.\nAdditional details\nType: SaaS & APIs\nLast product update: 7/1/24\nCategory: Mobile\nService name: fitness.googleapis.com\nTutorials and documentation\nLearn more \nTerms of Service\nBy using this product you agree to the terms and conditions of the following licenses: Google APIs Terms of Service, Fitness API.\n\nRelated Products\nCustomers who use this product also use the following products\n\nGoogle People API\nGoogle Enterprise API \nProvides access to information about profiles and contacts.\n\n\nGmail API\nGoogle Enterprise API \nView and manage Gmail mailbox data.\n\n\nGoogle Drive API\nGoogle Enterprise API \nCreate and manage resources in Google Drive.\n\n\nGoogle Calendar API\nGoogle Enterprise API \nManage calendars and events in Google Calendar.\n\n\nGoogle Sheets API\nGoogle Enterprise API \nRead and write Google Sheets data\n\n\nYouTube Data API v3\nGoogle\nThe YouTube Data API v3 is an API that provides access to YouTube data, such as videos, playlists,…\nConsole Logo\n\nProduct details\n\nGoogle Health API\nGoogle\n\nThe Google Health API lets you view and manage health and fitness metrics and measurement data.\n\n API Enabled\nOverview\nDocumentation\nRelated Products\nOverview\nThe Google Health API lets you view and manage health and fitness metrics and measurement data.\nAbout Google\nGoogle's mission is to organize the world's information and make it universally accessible and useful. Through products and platforms like Search, Maps, Gmail, Android, Google Play, Chrome and YouTube, Google plays a meaningful role in the daily lives of billions of people.\nAdditional details\nType: SaaS & APIs\nLast product update: 4/28/26\nService name: health.googleapis.com\nTutorials and documentation\nLearn more \nTerms of Service\nBy using this product you agree to the terms and conditions of the following license: Google Health API Developer Terms and Conditions.\n\nRelated Products\nCustomers who use this product also use the following products\n\nGmail API\nGoogle Enterprise API \nView and manage Gmail mailbox data.\n\n\nGoogle Drive API\nGoogle Enterprise API \nCreate and manage resources in Google Drive.\n\n\nGoogle Calendar API\nGoogle Enterprise API \nManage calendars and events in Google Calendar.\n\n\nGoogle Docs API\nGoogle Enterprise API \nReads and writes Google Docs documents.\n\n\nGoogle Sheets API\nGoogle Enterprise API \nRead and write Google Sheets data\n\n\nFitness API\nGoogle\nThe Fitness API for managing users' fitness tracking data.\n\n\nahora que? fijate en tu memoria en algun lado tenes la data al respecto de el oauth o scope que te di supongo para drive y gmail no se?", "timestamp": "2026-05-19T23:13:18.992830", "message_id": "1506434264256745585"} {"role": "assistant", "content": "", "reasoning": "**Setting up OAuth**\n\nI need to take action and set up OAuth. Should I configure the Hermes Agent? I realize the user might be asking about OAuth configuration and not specifically about Hermes. It seems like Google Workspace could have relevant information loaded. So, I’ll need to inspect the existing Google credentials to see what’s already in place. Let's figure this out carefully to ensure everything is set up correctly!", "finish_reason": "tool_calls", "reasoning_content": "**Setting up OAuth**\n\nI need to take action and set up OAuth. Should I configure the Hermes Agent? I realize the user might be asking about OAuth configuration and not specifically about Hermes. It seems like Google Workspace could have relevant information loaded. So, I’ll need to inspect the existing Google credentials to see what’s already in place. Let's figure this out carefully to ensure everything is set up correctly!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDO5DmZVjTvrG5nKX3KHdyDGB0JfD2xaOsacWtwES2m1sjhQNY1HBfQYjIIgmKSYAaB7S4sYgDAKcyKSl1rLwnj8a1J0lLFiTSixKQx33LYhkp6e0x2paJpZcfXelfqyBLuFO7Al5mBDZmbIvdWaznHgGsHi1vtsA8NBEHyLHTlwjcgdugg9HPI7xWKlv7XYEr8i1Wrg0R6MpMKjE5NQ78EqO35JiM3RXt-WHhjWm5bVerjHXw907Eg1O5T57zoEwG9VTrPp-z4RJLNBzScOrNK_AiDznpZh7hnUgApzRin5AMxtXykXJK33Bv6vondbsDbtGOjXx-9sIzyWnOsJmqMWZisEnZeaIrPcrn8w-EhJIv8mXH1Z5j-iLvpglYqBJlcaZaCbKwNgNHyT5bAV0-8ZvSeUXonYB6PwJ-kiJrQAyA_abkhBnUN0G2a6wgQTflI9l86kv0KfKl-LWbftXw0zBpTP9jKuUqaLJCt_5cpbC8mo0ygGesz9xfB3Q0HaXxJHMNINNdIb6fLWdU0JOmuPz0kVq8BHHUCpq5XaN7XDcj7fguQ5sia4zhTmu7WztEH_F_rI2ldqR9snaDr_TtRiihUaSr4HP93avcQKfSHr3ozn7M7NBlcCR-u8Xwmv62B2Szkx9Khhb5l_28P69i7ClRT9BuNWaFXvlnjglZPvcl239OOOXGjur4S83SPEqe76iiXvIF-2DLCN1yAAiHHwGNMDYUWAeVsnoPPcimp141tt92FgNQbD7jFdYIuYEvL6rt2mgg9dpxQUPylgKcEbcme_cnp-a6GX1hea-JK2BbohvwgSK6PtSDeZkIvxxpi_3OEou6rEoiJMrDhPFIPcJyis50sFirH6eaUb7UeUl_s0pSmubufqoa96jvRfgWVMxJ9LJZaWB8bkP7JtaYOUsiBQ9OCSQAF-pjhPhqlPfrYwEA8vaUu5xAOjMY7psBP0IhiIMd-WG1mn8zu5NKSK14wEka4O_HW5vDSzZ-yQA7AuFR1a8c9VB35fJqlk56vGk4dvOu6ztalwMKHwQf3G-4HZEEwBRRUwvtJQg1Mm-F-jVG1Tiq8L4QUQKqSFHQiWn_rw1E0Xt-PRh-6p5N3Ph8nJ2pd4x6t9nz6kpjqI5VLtPiWTJ99KaaAeiUGXI9Fm1", "id": "rs_06d034090aab91f3016a0cee40b5448194b3d5b79f2ad4addf", "summary": [{"type": "summary_text", "text": "**Setting up OAuth**\n\nI need to take action and set up OAuth. 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\"exit_code\": 0, \"error\": null}", "tool_call_id": "call_26wEeCgYujitjCDMOT92spVV", "timestamp": "2026-05-19T23:13:18.992830"} {"role": "assistant", "content": "", "reasoning": "**Creating OAuth URL**\n\nI need to inspect the client secret, but I shouldn’t reveal any sensitive information. I’ll create the OAuth URL and might use a Google client secret if it’s installed. I should consider reading the shape since I may be able to use the client ID secret. Writing a custom OAuth script with PKCE for an installed app sounds like a reasonable plan, and I might check if I can use google-auth-oauthlib for that.", "finish_reason": "tool_calls", "reasoning_content": "**Creating OAuth URL**\n\nI need to inspect the client secret, but I shouldn’t reveal any sensitive information. I’ll create the OAuth URL and might use a Google client secret if it’s installed. I should consider reading the shape since I may be able to use the client ID secret. Writing a custom OAuth script with PKCE for an installed app sounds like a reasonable plan, and I might check if I can use google-auth-oauthlib for that.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDO5ga7qenDM_fXXcG0iJle-yNu0_kYJAKg9oUTKFeDupNSO49NCcTaCXEI3xpjVRj1xt0K8qC3TXcuwfd8N_4yFXoQy2Kaz9iZeXLhBF-YU2dCqqDNsLXZmziAB6PUDp7_jnAOshyjMgVk2cZBR-3iuKy0kyCBLYbfL5eHJygBwjTc3YoysIS0O3Sn0CMrDroLJsWLBNpMrZbZ0VuxjHkPAlNa5iYvJJPgjz5_pH7cLKcbEyAyYndCEvbvl71FR-vu_hwfIqZ98Db331dLS0NiumYH2-jlxg1SzTd3cV_Tq5YnzRediYMk6gxFw5sE22dfAz84kUtuaxClxZCaVwwrjrucGVjGuwEYrc9Q1VmotmpStQmRZHtdaJO1Ri1vbnMvwa4JUEfhpw81tGtT7_DYDQApDwH7qr1F2uFel9BhIXxg_9QHLuXvRWr_FHnJFfztmrcAhWgFX8j1qpWWW6gljDzweFxzV4jyc4iXyA0Opu-FeTwP6i1wPYoMJXyuAxnx03pAiWq3e-z2jlrg_TpmB4S0_vyi3ONuf6IOVwqjFrDC59qqrsJT6I-wz4sK-ztoiWrlmZtfHXGHtUIr5-pNceNbzrrBeZVOgzNrlj467k91OMJE__0-Eyn1pXUjJCGcFvti19K-tXkBNLEzjhcr1t1JzvS-YlCXhpVN4-tmYsTrqkX2tlA2BTUO5fPjbZ-3-aEd8o4uJwBotOlkEabvdZT6HwqaceHT6pc_ytRqmlnjDqM81GUc7_P0jEo2lldOglcabmDHEnGkDDBLwPX3TPC7EoLn_J2-jPPYYLQmY-3-Hbi6bDpffWL3n3SDBuUAlMIJGGau-0pDiBYlsxsYMLFETN31dRDmguBNsnYpx6QTA0yph1kNjNFvu13sIDHdnLTxho7jCHYu1j5sibM2yPDEUcAD0B6VdUQqPStf0dBANl9uJ6yJjygPkTclDX-XZ6YcULziQd4jg--dE-Nx4c_MSipnmavSIaBfM6txBTIOzQuSpEtbnh0c6Xw-CSovoRCnuj2JDOEUvyAFqLztZleeQoOFkuFTVqXgnCmjN9xMQQrYbA2ZoQKH2qkB3pk1xfzzDcjksvXDjqCw9SsRGPpwGVNJiZfgIn4k6IkUzZyvezN9Ds4uvg6M8FcE_uWEuuUmZ9A-Kds5LDWSvO68iHITKB_KAB9akCxUcS7UXj4mU0-090Cws_f_oSh5SK8DhJro9PBbxdTZr7im5xPapLioZO5KHDStwRJK5vecOmsCE=", "id": "rs_06d034090aab91f3016a0cee5c98408194b833f41705377703", "summary": [{"type": "summary_text", "text": "**Creating OAuth URL**\n\nI need to inspect the client secret, but I shouldn’t reveal any sensitive information. I’ll create the OAuth URL and might use a Google client secret if it’s installed. I should consider reading the shape since I may be able to use the client ID secret. Writing a custom OAuth script with PKCE for an installed app sounds like a reasonable plan, and I might check if I can use google-auth-oauthlib for that."}]}], "tool_calls": [{"id": "call_aITeDg1FTFEZW8nshTWGkVdt", "call_id": "call_aITeDg1FTFEZW8nshTWGkVdt", "response_item_id": "fc_06d034090aab91f3016a0cee60d7b08194a8944344ef7832cd", "type": "function", "function": {"name": "read_file", "arguments": "{\"limit\":60,\"path\":\"/home/ubuntu/.config/gogcli/client_secret.json\"}"}}], "timestamp": "2026-05-19T23:13:18.992830"} {"role": "tool", "name": "read_file", "content": "{\"content\": \" 1|{\\n 2| \\\"installed\\\": {\\n 3| \\\"client_id\\\": \\\"481954864492-nmm2105eenlhmh5fj6q6sf4sr22sp8mi.apps.googleusercontent.com\\\",\\n 4| \\\"client_secret\\\": \\\"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\\\",\\n 5| \\\"redirect_uris\\\": [\\\"urn:ietf:wg:oauth:2.0:oob\\\", \\\"http://localhost\\\"],\\n 6| \\\"auth_uri\\\": \\\"https://accounts.google.com/o/oauth2/auth\\\",\\n 7| \\\"token_uri\\\": \\\"https://oauth2.googleapis.com/token\\\"\\n 8| }\\n 9|}\\n 10|\", \"total_lines\": 9, \"file_size\": 366, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_aITeDg1FTFEZW8nshTWGkVdt", "timestamp": "2026-05-19T23:13:18.992830"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDO5oec30sgfcvl8Sqh0jDhI_S6gBnVHREoNyO1C5o8zHlWi88f-T3MwW4IZzj6iT0-MOJQKi3rPTOWGaWQnCk7FB_BVOm4vkKLjhKZqBow_pWyO2pOdhxbOQ3Ahewsh8KVqMlVipNGTL6K7RBbdY-zfWLIcNZt-1XZcc_L8YWa6ZgLz7iOV_RAMqz6BXPzP_GVNqOfXdFix_bRlWreOJ9bVagrolAuAQn9M3g7Pum8evrpl9v-uTgzGxP_xFLtQ-IJ30P51nClSkU5FxHtkzRSAHRxqsA_Sb58cN137wBQhq3sAbt7kuu6HuzP27Nl3hR9QksfKiEFhyVoL0HDdQd0yPqcn4RcNW-8D7fq7g2kmzCgJWlSF_f6jWnVdsifiqPwYhmP4rcMIGfiOsA6TySutYQrQuM87nD3nwlbepgb_btnXpmM0w_jREyfkoaBErF_9yad4dsl3Q60Ey0og0tsHF8-dzV1lgCIvLqsX3jFd43Sox6lmTB5t0Yc3hslXpIzcx3SPXvv_JKvK3Vq-oc4nLbPXot-c9ZJqY26-K6PDv1-1gz2aZBiehm-qQxEswxQahH2rFkHXYiJUe14oNj8YvOcJLiLtvZDiWXO_FCrH7cN6d1HsFHtn5B8TisKNCfXxjfwiEhljlwLMm7gXYq_xjt6ABMFC_dko_VZHbYqQ9p44-MT5sTqVoL3CuUxpxMl08tRzaFErLzSiHs3xMvwZISpfJcWc9sop8pE9iOQx1f0BAwceJ2oIhsb3AfASGgP9AFZ8oXxhfsIv5yO2iJLdlq4oubRZyLFX7ZnI8dkBq55Uy60yK5X-pTDrialkE4QJkEArELDttlVAzC7KCyJB5UhmJXaBErGVIbtR4OYGFakhhMaj2rSK0S3Kmq4fLvNe-M-DSPitEQselzaDM68wtVzHVksmr76AieyrzsOHwO2ogNP5VR9z3khhXT7sB67r_Zfwb6UVqMoKjTtQEmL0ANE8EXxx9H0A5JyIC0ShbpUYyCEuqBFmOB9rXrI1Lef-ul9BgymXE8CR26X5dIE--lf-2KWYxtDUwnP1besldZ-GaBhtIDUU35JTsN8StLNqlwA2WWROUKTgj8BscVetVCWeYaj47iK49uXGz4Kbg5-BK90sMIqv5JhIifylUUzd61BqLZAnoU_qfMiu8KSfB7Ky-NcLeODQQBDCxa7w5hR1mIIM7wdrUEstZsSw6UEyET--qLV4wlzcJKt_Pk-o1uNDNDAEYr9B_-v1T95muaogSFn-ETLhnxzJAIp5pVApROnzu64Jv9deLrPLsZJ6ttAWuDiozeKVRhUF5UmPgio_9ov5KOe9gTpVHQcEm-IGgj62ZdhgNLOohSliTpgAZ2ER3zJhFK8MJHmAn4ve3Wh23s1WidNTz2SDcMCZsHtLpFactTD3AHAnUFVV52v-TB88DVEY0vfITHK1SKmYoT4E=", "id": "rs_06d034090aab91f3016a0cee665c188194905aaf3cff6d9b2e", "summary": []}], "tool_calls": [{"id": "call_V2LHKWx7GNOJ3pgFXnOMidPw", "call_id": "call_V2LHKWx7GNOJ3pgFXnOMidPw", "response_item_id": "fc_06d034090aab91f3016a0cee6856e4819499a0d725ca844cd8", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\":\"/home/ubuntu/health-bridge/scripts/google_fit_oauth.py\",\"content\":\"#!/usr/bin/env python3\\n\\\"\\\"\\\"Manual OAuth helper for Google Fit REST.\\n\\nUses existing Desktop OAuth client at ~/.config/gogcli/client_secret.json.\\nCommands:\\n auth-url -> prints URL to authorize fitness.activity.read\\n exchange URL_OR_CODE -> exchanges code, saves token JSON, prints access token preview\\n token -> refreshes/prints current access token\\n\\\"\\\"\\\"\\nimport json, os, sys, secrets, urllib.parse, urllib.request, time\\nfrom pathlib import Path\\n\\nCLIENT_FILE = Path(os.environ.get('GOOGLE_CLIENT_SECRET_FILE', '/home/ubuntu/.config/gogcli/client_secret.json'))\\nSTATE_FILE = Path('/home/ubuntu/health-bridge/.google_fit_oauth_state.json')\\nTOKEN_FILE = Path('/home/ubuntu/health-bridge/google_fit_token.json')\\nSCOPE = 'https://www.googleapis.com/auth/fitness.activity.read'\\nREDIRECT_URI = 'http://localhost'\\n\\n\\ndef client():\\n data = json.loads(CLIENT_FILE.read_text())['installed']\\n return data['client_id'], data.get('client_secret'), data['token_uri'], data['auth_uri']\\n\\n\\ndef post(url, data):\\n enc = urllib.parse.urlencode(data).encode()\\n req = urllib.request.Request(url, data=enc, headers={'Content-Type': 'application/x-www-form-urlencoded'})\\n with urllib.request.urlopen(req, timeout=60) as r:\\n return json.loads(r.read().decode())\\n\\n\\ndef auth_url():\\n client_id, _, _, auth_uri = client()\\n state = secrets.token_urlsafe(24)\\n STATE_FILE.write_text(json.dumps({'state': state, 'created_at': time.time()}))\\n q = urllib.parse.urlencode({\\n 'client_id': client_id,\\n 'redirect_uri': REDIRECT_URI,\\n 'response_type': 'code',\\n 'scope': SCOPE,\\n 'access_type': 'offline',\\n 'prompt': 'consent',\\n 'state': state,\\n })\\n print(f'{auth_uri}?{q}')\\n\\n\\ndef extract_code(arg):\\n if arg.startswith('http://') or arg.startswith('https://'):\\n u = urllib.parse.urlparse(arg)\\n qs = urllib.parse.parse_qs(u.query)\\n if 'error' in qs:\\n raise SystemExit('OAuth error: ' + qs['error'][0])\\n return qs['code'][0]\\n return arg\\n\\n\\ndef exchange(arg):\\n code = extract_code(arg)\\n client_id, client_secret, token_uri, _ = client()\\n tok = post(token_uri, {\\n 'client_id': client_id,\\n 'client_secret': client_secret,\\n 'code': code,\\n 'redirect_uri': REDIRECT_URI,\\n 'grant_type': 'authorization_code',\\n })\\n tok['obtained_at'] = int(time.time())\\n TOKEN_FILE.write_text(json.dumps(tok, indent=2))\\n print(json.dumps({'saved': str(TOKEN_FILE), 'scope': tok.get('scope'), 'has_refresh_token': bool(tok.get('refresh_token')), 'access_token_prefix': tok.get('access_token','')[:12]}, indent=2))\\n\\n\\ndef get_token():\\n tok = json.loads(TOKEN_FILE.read_text())\\n exp = tok.get('obtained_at', 0) + tok.get('expires_in', 0) - 120\\n if time.time() >= exp:\\n client_id, client_secret, token_uri, _ = client()\\n new = post(token_uri, {\\n 'client_id': client_id,\\n 'client_secret': client_secret,\\n 'refresh_token': tok['refresh_token'],\\n 'grant_type': 'refresh_token',\\n })\\n tok.update(new)\\n tok['obtained_at'] = int(time.time())\\n TOKEN_FILE.write_text(json.dumps(tok, indent=2))\\n print(tok['access_token'])\\n\\n\\ndef main():\\n if len(sys.argv) < 2 or sys.argv[1] not in {'auth-url','exchange','token'}:\\n print('usage: google_fit_oauth.py auth-url | exchange URL_OR_CODE | token', file=sys.stderr)\\n return 2\\n if sys.argv[1] == 'auth-url': auth_url()\\n elif sys.argv[1] == 'exchange':\\n if len(sys.argv) < 3: raise SystemExit('missing URL_OR_CODE')\\n exchange(sys.argv[2])\\n else: get_token()\\n\\nif __name__ == '__main__':\\n raise SystemExit(main())\\n\"}"}}], "timestamp": "2026-05-19T23:13:18.992830"} {"role": "tool", "name": "write_file", "content": "{\"bytes_written\": 3702, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_V2LHKWx7GNOJ3pgFXnOMidPw", "timestamp": "2026-05-19T23:13:18.992830"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_NvGhTmPntROWiOQ08yED7JoP", "call_id": "call_NvGhTmPntROWiOQ08yED7JoP", "response_item_id": "fc_06d034090aab91f3016a0cee84339881949e09d0e92e65d917", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python3 /home/ubuntu/health-bridge/scripts/google_fit_oauth.py auth-url\",\"timeout\":60}"}}], "timestamp": "2026-05-19T23:13:18.992830"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"https://accounts.google.com/o/oauth2/auth?client_id=481954864492-nmm2105eenlhmh5fj6q6sf4sr22sp8mi.apps.googleusercontent.com&redirect_uri=http%3A%2F%2Flocalhost&response_type=code&scope=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Ffitness.activity.read&access_type=offline&prompt=consent&state=4OBC2gUeTgNpxqHkAxmn4ZTY_F2xhJsU\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_NvGhTmPntROWiOQ08yED7JoP", "timestamp": "2026-05-19T23:13:18.992830"} {"role": "assistant", "content": "Sí, encontré la data OAuth existente.\n\nTenés un OAuth client guardado de `gog` en:\n\n```txt\n/home/ubuntu/.config/gogcli/client_secret.json\n```\n\nNo tiene token Fitness todavía, pero **sirve como client Desktop** para pedir el scope nuevo.\n\nAbrí este link:\n\n```txt\nhttps://accounts.google.com/o/oauth2/auth?client_id=481954864492-nmm2105eenlhmh5fj6q6sf4sr22sp8mi.apps.googleusercontent.com&redirect_uri=http%3A%2F%2Flocalhost&response_type=code&scope=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Ffitness.activity.read&access_type=offline&prompt=consent&state=4OBC2gUeTgNpxqHkAxmn4ZTY_F2xhJsU\n```\n\nQué hacer:\n\n1. Entrás con `ignaciolagosruiz@gmail.com`.\n2. Aceptás el permiso de Fitness / activity.\n3. Te va a redirigir a algo como:\n ```txt\n http://localhost/?state=...&code=...\n ```\n Puede fallar la página, da igual.\n4. Copiame **la URL completa de la barra del navegador**.\n\nCon eso yo intercambio el code por token y corro el import 2026.", "reasoning": null, "finish_reason": "stop", "codex_message_items": [{"type": "message", "role": "assistant", "status": "completed", "content": [{"type": "output_text", "text": "Sí, encontré la data OAuth existente.\n\nTenés un OAuth client guardado de `gog` en:\n\n```txt\n/home/ubuntu/.config/gogcli/client_secret.json\n```\n\nNo tiene token Fitness todavía, pero **sirve como client Desktop** para pedir el scope nuevo.\n\nAbrí este link:\n\n```txt\nhttps://accounts.google.com/o/oauth2/auth?client_id=481954864492-nmm2105eenlhmh5fj6q6sf4sr22sp8mi.apps.googleusercontent.com&redirect_uri=http%3A%2F%2Flocalhost&response_type=code&scope=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Ffitness.activity.read&access_type=offline&prompt=consent&state=4OBC2gUeTgNpxqHkAxmn4ZTY_F2xhJsU\n```\n\nQué hacer:\n\n1. Entrás con `ignaciolagosruiz@gmail.com`.\n2. Aceptás el permiso de Fitness / activity.\n3. Te va a redirigir a algo como:\n ```txt\n http://localhost/?state=...&code=...\n ```\n Puede fallar la página, da igual.\n4. Copiame **la URL completa de la barra del navegador**.\n\nCon eso yo intercambio el code por token y corro el import 2026."}], "id": "msg_06d034090aab91f3016a0cee87cf58819487043d17c42aedd9", "phase": "final_answer"}], "timestamp": "2026-05-19T23:13:18.992830"} {"role": "user", "content": "[nachlakes] http://localhost/?state=4OBC2gUeTgNpxqHkAxmn4ZTY_F2xhJsU&iss=https://accounts.google.com&code=4/0AeoWuM_RJGDMak9EFY3hQbr2YsBOlRRAtmWI_kLWmUsyYgQcj2lrRS2Rn3US3QrBvsgGZw&scope=https://www.googleapis.com/auth/fitness.activity.read", "timestamp": "2026-05-19T23:19:24.047364", "message_id": "1506434791820492890"} {"role": "assistant", "content": "", "reasoning": "**Using tools and checking skills**\n\nI need to make sure I'm using the right tools here. I'll need to exchange some code and then run the import verification. I’m wondering if the relevant skills are already loaded or if I might need to use that health-bridge thing. Okay, I think I should check this in the terminal to ensure everything is set up correctly. It’s essential to have all the pieces in place!", "finish_reason": "tool_calls", "reasoning_content": "**Using tools and checking skills**\n\nI need to make sure I'm using the right tools here. I'll need to exchange some code and then run the import verification. I’m wondering if the relevant skills are already loaded or if I might need to use that health-bridge thing. Okay, I think I should check this in the terminal to ensure everything is set up correctly. It’s essential to have all the pieces in place!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDO7Ad0w-hZSG1tJ5PYkbcov5S-QbNTWh2q1PWPvOs4gOqaIdcRmsXG22M7aGi_vn40Hbdp6z95zPIRQEm-6zqAyof7fySW98LnQ7dW-DQZyJ5fZ2-xgNqFHgHWHTlYv7i7eJL2lFlWoDKZtuNlunZBUKWgkNa3JJf0HJ6ReWSMBkSzEx1jOjn4f40b4CY2mBi7b8WbtI2OO2xIpwFMth0rEg3HY_A9hjxmdsvgSlsmDsvQHNUe7pbKk1WZQX18AdFx7lBCRUY850_s7Qr0HaHIn9iCORZ-tSOcKZqh4T_CFSF9SRErEK9TS_upw6wu_s6DMjEw17r63h3vyOUAS5TMiy5WwS6u4fj8a__6Yb9kKuxCPoRqw8nDUcPDAwKl9Oo2wwW6Vk_jVMIXiOR6AkAY5rdY6yr1zTUr5N0L5-2WF3CAia4kfAs3X5y74OLD8wCzpiDsWUTKLt_KvGPLowlWV5jyTl72BCfRcizM5rSjdqT1Rv7qcepkPYRHT7DVoHfrRoOOv-W0JVr4rVrWebLG3L64t3TZWhkW0MiII7nc_oHJeBxWEhb4CQBUktpioEm_orWNT0-AItSmsKzOJf5xBakVphM6cOmWNGl3-NtdezhuptRia69SRv0yBBOWAccidpAm2KmYLVm0aWxLeIEZsN3xMiPlyq95OgogbGMlv28fW-eVZRR8_GscvzGgw7ZKq7yr9nib-ucAbhbgI1pXCG713rIZV9RgK_6Pihy-P2mxMWohIhHoZmOsBuH2HNGqlVo6ec49Cf0ZYju5ga0OYJp-t5tnyzzBzNXjhC_wKXcqBn8OznyCy5WolQIQWlzzxPfO50JPCLUEzchkf_O4VOTecE4Ek3cKBMxBk0J9o4Sg52r8-CG2sj2OIkxp1W97CP7drJYoKO9kE9KzUo0txK7xGa9SLMXlcA0WFCqaye_vbiHVp23EclLFy1JtWpYV1mvvteilmhHIKTIl8eM0C0nLKsI-EcLS91ttksvMjeVZGSoGI1M8mK-FL_eOuwWp0FS7WjvNjLLAXUmLF3KN3r9JTHWkfFqsLMi4E8Pa3tB1blyrt1MDw32JBLiFAbjso2nN67BhvuzKfwfgs58Npmmg==", "id": "rs_06d034090aab91f3016a0ceebe0bec8194ab15b94b42011886", "summary": [{"type": "summary_text", "text": "**Using tools and checking skills**\n\nI need to make sure I'm using the right tools here. I'll need to exchange some code and then run the import verification. I’m wondering if the relevant skills are already loaded or if I might need to use that health-bridge thing. Okay, I think I should check this in the terminal to ensure everything is set up correctly. It’s essential to have all the pieces in place!"}]}], "tool_calls": [{"id": "call_VcTV9bZI41XSr5d6xARpOjIL", "call_id": "call_VcTV9bZI41XSr5d6xARpOjIL", "response_item_id": "fc_06d034090aab91f3016a0ceec0018881949ddc06ab783bcaeb", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python3 /home/ubuntu/health-bridge/scripts/google_fit_oauth.py exchange 'http://localhost/?state=4OBC2gUeTgNpxqHkAxmn4ZTY_F2xhJsU&iss=https://accounts.google.com&code=4/0AeoWuM_RJGDMak9EFY3hQbr2YsBOlRRAtmWI_kLWmUsyYgQcj2lrRS2Rn3US3QrBvsgGZw&scope=https://www.googleapis.com/auth/fitness.activity.read'\",\"timeout\":120}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"Traceback (most recent call last):\\n File \\\"/home/ubuntu/health-bridge/scripts/google_fit_oauth.py\\\", line 101, in \\n raise SystemExit(main())\\n ^^^^^^\\n File \\\"/home/ubuntu/health-bridge/scripts/google_fit_oauth.py\\\", line 97, in main\\n exchange(sys.argv[2])\\n File \\\"/home/ubuntu/health-bridge/scripts/google_fit_oauth.py\\\", line 61, in exchange\\n tok = post(token_uri, {\\n ^^^^^^^^^^^^^^^^^\\n File \\\"/home/ubuntu/health-bridge/scripts/google_fit_oauth.py\\\", line 28, in post\\n with urllib.request.urlopen(req, timeout=60) as r:\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/home/ubuntu/.local/share/uv/python/cpython-3.11.15-linux-aarch64-gnu/lib/python3.11/urllib/request.py\\\", line 216, in urlopen\\n return opener.open(url, data, timeout)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/home/ubuntu/.local/share/uv/python/cpython-3.11.15-linux-aarch64-gnu/lib/python3.11/urllib/request.py\\\", line 525, in open\\n response = meth(req, response)\\n ^^^^^^^^^^^^^^^^^^^\\n File \\\"/home/ubuntu/.local/share/uv/python/cpython-3.11.15-linux-aarch64-gnu/lib/python3.11/urllib/request.py\\\", line 634, in http_response\\n response = self.parent.error(\\n ^^^^^^^^^^^^^^^^^^\\n File \\\"/home/ubuntu/.local/share/uv/python/cpython-3.11.15-linux-aarch64-gnu/lib/python3.11/urllib/request.py\\\", line 563, in error\\n return self._call_chain(*args)\\n ^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/home/ubuntu/.local/share/uv/python/cpython-3.11.15-linux-aarch64-gnu/lib/python3.11/urllib/request.py\\\", line 496, in _call_chain\\n result = func(*args)\\n ^^^^^^^^^^^\\n File \\\"/home/ubuntu/.local/share/uv/python/cpython-3.11.15-linux-aarch64-gnu/lib/python3.11/urllib/request.py\\\", line 643, in http_error_default\\n raise HTTPError(req.full_url, code, msg, hdrs, fp)\\nurllib.error.HTTPError: HTTP Error 401: Unauthorized\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_VcTV9bZI41XSr5d6xARpOjIL", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": "**Diagnosing client issues**\n\nI’m trying to figure out if the client secret might be invalid. It’s possible I need to patch the system to show the error body. Maybe the installed client doesn’t have a secret, which could lead to a 401 invalid_client error. I should use curl for testing. But I need to be careful not to expose the secret in the final output. Overall, I’m trying to get to the bottom of this!", "finish_reason": "tool_calls", "reasoning_content": "**Diagnosing client issues**\n\nI’m trying to figure out if the client secret might be invalid. It’s possible I need to patch the system to show the error body. Maybe the installed client doesn’t have a secret, which could lead to a 401 invalid_client error. I should use curl for testing. But I need to be careful not to expose the secret in the final output. Overall, I’m trying to get to the bottom of this!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDO7Hz1OtFHJUs3vdDE5dlM82Ekye68Pg1-3PdrfomuWnnoxLXZOVu2soiYoNkQStrptoZVm6KakLY8jJfaK59_y91-xF5ZN6dcSqVWTFdyiH0i6COHMD8ung8qptGM-VcSOcmIMiZKm8zvA_yWeni7mReJ13ly8W767ElP-tfMcr23yjzbjNP-WPZPVMl_18KHU6Ic1d-LRYkZWU83VS1_ZoG5PvIoXoPHfZKRL2rlBWY4QLXnHUdDBCBwaF_pXAED-2-q8d-2WJvoa08jcEBOn2CpkpXT-gZb3NU_1Ueh5RsJ2O0NcfTBAhdq-3CAQUXmgaePayPmP_UkZn1GYqpnKcq6zV1g9kkpdybT31KRumhLVvjaeQcHPVDPs1CkeuvoLFi0iRTMCn0ih2Rv6hNmrEc0rpjPRakiiTMRgLs2td9Xj3jF-vIbmbT5KvjkDEdRLUtQ9QZXFyT89tjsCMngwquhAUTnbobuvFwDSswMQvOoqI9VWMIgTrEJjbhZoHW8nLMF-Z0kxceiqAycDt4CIGvUZ3tgpixns0hxWUEqhE2ayxYarpmHjqKi7MF_PJrg93PoQnKvMdJIdH0hL1E3VFuLU_zl3fC1GfDSpDaYWR5FxQ0sG-gkhAr3y_tju7UFI4CbqLYigcKCNzCKudowKxByXlkm_RIqLzLyBEbkDJcw5BHEkFB3u0SmSEmT-83ExEwq57qTeW2JEGuYMudGsi6SYXhWYF34leL3wEDbsPk4YIryDE_DL8gZ_npA_V4O180XYMQvez2JjMb2HYJerh5k7lIUnje1qd7isw_7GSDcamn94J9ET8fjEI-TQu_kSz5AYhrgp-84xh4zfJEpbixpFu-LZxYKeFLMJ6aKsNbd74fbLvsCPU8uYhExNUgUuSxQACtas3wu7uAgDCwUWrCmvjqcoKa7ryQvC7cGeFTNvw-4AhcOIYwWeFVTQ9PG41cvVqM5HJzvTT43k2lldxVZzRCn-aQanAn8yY8qnnYQ79tzYRVvutQwFt-a0qoy7FmxFVxr3Neodj8JaRVirHQ8nc7JhL1eXtgmbgyPRhmd55Unu7N2FZfUTLNWMIT45FGP1p2VhjaLJkMowpBqmpOqwJt7bVrJ3DNaez8PLPNbaLlAO-SQWUfYxmQt1paj-s", "id": "rs_06d034090aab91f3016a0ceec4c0448194b26a8db140288024", "summary": [{"type": "summary_text", "text": "**Diagnosing client issues**\n\nI’m trying to figure out if the client secret might be invalid. It’s possible I need to patch the system to show the error body. Maybe the installed client doesn’t have a secret, which could lead to a 401 invalid_client error. I should use curl for testing. But I need to be careful not to expose the secret in the final output. Overall, I’m trying to get to the bottom of this!"}]}], "tool_calls": [{"id": "call_qud7CEeCagWWZM05msPFp0To", "call_id": "call_qud7CEeCagWWZM05msPFp0To", "response_item_id": "fc_06d034090aab91f3016a0ceec77bb08194a7c046c9c45d08bf", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python3 - <<'PY'\\nimport urllib.parse, urllib.request, json\\nsecret=json.load(open('/home/ubuntu/.config/gogcli/client_secret.json'))['installed']\\ncode='4/0AeoWuM_RJGDMak9EFY3hQbr2YsBOlRRAtmWI_kLWmUsyYgQcj2lrRS2Rn3US3QrBvsgGZw'\\ndata=urllib.parse.urlencode({'client_id':secret['client_id'],'client_secret':secret['client_secret'],'code':code,'redirect_uri':'http://localhost','grant_type':'authorization_code'}).encode()\\nreq=urllib.request.Request(secret['token_uri'], data=data, headers={'Content-Type':'application/x-www-form-urlencoded'})\\ntry:\\n print(urllib.request.urlopen(req, timeout=30).read().decode())\\nexcept urllib.error.HTTPError as e:\\n print('HTTP',e.code)\\n print(e.read().decode())\\nPY\",\"timeout\":60}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"HTTP 401\\n{\\n \\\"error\\\": \\\"invalid_client\\\",\\n \\\"error_description\\\": \\\"The provided client secret is invalid.\\\"\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_qud7CEeCagWWZM05msPFp0To", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": 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"id": "rs_06d034090aab91f3016a0ceecd3d6c8194883f06492297c54b", "summary": []}], "tool_calls": [{"id": "call_Nd6vYf5wCvGMaxBqbbydEqa6", "call_id": "call_Nd6vYf5wCvGMaxBqbbydEqa6", "response_item_id": "fc_06d034090aab91f3016a0ceecea6ec8194827d24833f8b7909", "type": "function", "function": {"name": "read_file", "arguments": "{\"limit\":120,\"path\":\"/home/ubuntu/.config/gogcli/credentials.json\"}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "read_file", "content": "{\"content\": \" 1|{\\n 2| \\\"client_id\\\": \\\"481954864492-nmm2105eenlhmh5fj6q6sf4sr22sp8mi.apps.googleusercontent.com\\\",\\n 3| \\\"client_secret\\\": \\\"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\\\"\\n 4|}\\n 5|\", \"total_lines\": 4, \"file_size\": 152, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_Nd6vYf5wCvGMaxBqbbydEqa6", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", 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"id": "rs_06d034090aab91f3016a0ceed2d1c481949f16b197ff4a5937", "summary": []}], "tool_calls": [{"id": "call_QPIcg5FZUHgEhpMQyJ9k9J8C", "call_id": "call_QPIcg5FZUHgEhpMQyJ9k9J8C", "response_item_id": "fc_06d034090aab91f3016a0ceed38d288194ae8a70c62526ad0a", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python3 - <<'PY'\\nimport urllib.parse, urllib.request, json\\nsecret=json.load(open('/home/ubuntu/.config/gogcli/client_secret.json'))['installed']\\ncode='4/0AeoWuM_RJGDMak9EFY3hQbr2YsBOlRRAtmWI_kLWmUsyYgQcj2lrRS2Rn3US3QrBvsgGZw'\\nfor include_secret in [False]:\\n data={'client_id':secret['client_id'],'code':code,'redirect_uri':'http://localhost','grant_type':'authorization_code'}\\n enc=urllib.parse.urlencode(data).encode()\\n req=urllib.request.Request(secret['token_uri'], data=enc, headers={'Content-Type':'application/x-www-form-urlencoded'})\\n try: print(urllib.request.urlopen(req, timeout=30).read().decode())\\n except urllib.error.HTTPError as e: print('HTTP',e.code,e.read().decode())\\nPY\",\"timeout\":60}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"HTTP 400 {\\n \\\"error\\\": \\\"invalid_request\\\",\\n \\\"error_description\\\": \\\"client_secret is missing.\\\"\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_QPIcg5FZUHgEhpMQyJ9k9J8C", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": 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\\\"https://www.googleapis.com/auth/contacts.readonly\\\",\\n \\\"https://www.googleapis.com/auth/contacts.other.readonly\\\",\\n \\\"https://www.googleapis.com/auth/calendar.readonly\\\",\\n \\\"https://www.googleapis.com/auth/calendar.settings.readonly\\\",\\n \\\"https://www.googleapis.com/auth/drive.readonly\\\",\\n \\\"https://www.googleapis.com/auth/documents.readonly\\\",\\n \\\"https://www.googleapis.com/auth/spreadsheets.readonly\\\"\\n ]\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_h8ttUrj2uUxGJprOvwJns03c", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": 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\\\"https://www.googleapis.com/auth/contacts.other.readonly\\\",\\r\\n 13| \\\"https://www.googleapis.com/auth/calendar.readonly\\\",\\r\\n 14| \\\"https://www.googleapis.com/auth/calendar.settings.readonly\\\",\\r\\n 15| \\\"https://www.googleapis.com/auth/drive.readonly\\\",\\r\\n 16| \\\"https://www.googleapis.com/auth/documents.readonly\\\",\\r\\n 17| \\\"https://www.googleapis.com/auth/spreadsheets.readonly\\\"\\r\\n 18| ],\\r\\n 19| \\\"created_at\\\": 1773686280\\r\\n 20|}\", \"total_lines\": 19, \"file_size\": 963, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_Uzls5HbudLaOLMw7oeec9ZN6", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": 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"content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/scripts/google_fit_oauth.py\\n+++ b//home/ubuntu/health-bridge/scripts/google_fit_oauth.py\\n@@ -10,7 +10,8 @@\\n import json, os, sys, secrets, urllib.parse, urllib.request, time\\n from pathlib import Path\\n \\n-CLIENT_FILE = Path(os.environ.get('GOOGLE_CLIENT_SECRET_FILE', '/home/ubuntu/.config/gogcli/client_secret.json'))\\n+CLIENT_FILE = Path(os.environ.get('GOOGLE_CLIENT_SECRET_FILE', '/home/ubuntu/.config/gog/credentials.json'))\\n+FALLBACK_CLIENT_FILE = Path('/home/ubuntu/.config/gogcli/client_secret.json')\\n STATE_FILE = Path('/home/ubuntu/health-bridge/.google_fit_oauth_state.json')\\n TOKEN_FILE = Path('/home/ubuntu/health-bridge/google_fit_token.json')\\n SCOPE = 'https://www.googleapis.com/auth/fitness.activity.read'\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/scripts/google_fit_oauth.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_keBsPdQ9DE3GE9nuFm4oDjX0", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_NnDDsN470mNqSYBwbP11CeG8", "call_id": "call_NnDDsN470mNqSYBwbP11CeG8", "response_item_id": "fc_06d034090aab91f3016a0cef09ecc08194b81d1012c831db19", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"def client():\\n data = json.loads(CLIENT_FILE.read_text())\\n if 'installed' in data:\\n data = data['installed']\\n client_id = data['client_id']\\n client_secret = data.get('client_secret')\\n token_uri = data.get('token_uri', 'https://oauth2.googleapis.com/token')\\n auth_uri = data.get('auth_uri', 'https://accounts.google.com/o/oauth2/auth')\\n if not client_secret and FALLBACK_CLIENT_FILE.exists():\\n fb = json.loads(FALLBACK_CLIENT_FILE.read_text()).get('installed', {})\\n if fb.get('client_id') == client_id:\\n client_secret = fb.get('client_secret')\\n return client_id, client_secret, token_uri, auth_uri\",\"old_string\":\"def client():\\n data = json.loads(CLIENT_FILE.read_text())['installed']\\n return data['client_id'], data.get('client_secret'), data['token_uri'], data['auth_uri']\",\"path\":\"/home/ubuntu/health-bridge/scripts/google_fit_oauth.py\"}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/scripts/google_fit_oauth.py\\n+++ b//home/ubuntu/health-bridge/scripts/google_fit_oauth.py\\n@@ -19,8 +19,18 @@\\n \\n \\n def client():\\n- data = json.loads(CLIENT_FILE.read_text())['installed']\\n- return data['client_id'], data.get('client_secret'), data['token_uri'], data['auth_uri']\\n+ data = json.loads(CLIENT_FILE.read_text())\\n+ if 'installed' in data:\\n+ data = data['installed']\\n+ client_id = data['client_id']\\n+ client_secret = data.get('client_secret')\\n+ token_uri = data.get('token_uri', 'https://oauth2.googleapis.com/token')\\n+ auth_uri = data.get('auth_uri', 'https://accounts.google.com/o/oauth2/auth')\\n+ if not client_secret and FALLBACK_CLIENT_FILE.exists():\\n+ fb = json.loads(FALLBACK_CLIENT_FILE.read_text()).get('installed', {})\\n+ if fb.get('client_id') == client_id:\\n+ client_secret = fb.get('client_secret')\\n+ return client_id, client_secret, token_uri, auth_uri\\n \\n \\n def post(url, data):\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/scripts/google_fit_oauth.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_NnDDsN470mNqSYBwbP11CeG8", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_KHn80L1i9mkvTKbtEyYAUh6K", "call_id": "call_KHn80L1i9mkvTKbtEyYAUh6K", "response_item_id": "fc_06d034090aab91f3016a0cef137e6c8194a384bd1f7e6a63ca", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python3 /home/ubuntu/health-bridge/scripts/google_fit_oauth.py exchange 'http://localhost/?state=4OBC2gUeTgNpxqHkAxmn4ZTY_F2xhJsU&iss=https://accounts.google.com&code=4/0AeoWuM_RJGDMak9EFY3hQbr2YsBOlRRAtmWI_kLWmUsyYgQcj2lrRS2Rn3US3QrBvsgGZw&scope=https://www.googleapis.com/auth/fitness.activity.read'\",\"timeout\":120}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"{\\n \\\"saved\\\": \\\"/home/ubuntu/health-bridge/google_fit_token.json\\\",\\n \\\"scope\\\": \\\"https://www.googleapis.com/auth/fitness.activity.read\\\",\\n \\\"has_refresh_token\\\": true,\\n \\\"access_token_prefix\\\": \\\"ya29.a0AQvPy\\\"\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_KHn80L1i9mkvTKbtEyYAUh6K", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_J3eBxI8RwCuJHRlyaTFjzaki", "call_id": "call_J3eBxI8RwCuJHRlyaTFjzaki", "response_item_id": "fc_06d034090aab91f3016a0cef1a0884819490f2691e7f312020", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"TOKEN=$(python3 /home/ubuntu/health-bridge/scripts/google_fit_oauth.py token) && GOOGLE_FIT_ACCESS_TOKEN=\\\"$TOKEN\\\" python3 /home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\",\"timeout\":180}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"Traceback (most recent call last):\\n File \\\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\\\", line 103, in \\n raise SystemExit(main())\\n ^^^^^^\\n File \\\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\\\", line 63, in main\\n fit = request_json(FIT_URL, body, {\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\\\", line 31, in request_json\\n with urllib.request.urlopen(req, timeout=60) as resp:\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/home/ubuntu/.local/share/uv/python/cpython-3.11.15-linux-aarch64-gnu/lib/python3.11/urllib/request.py\\\", line 216, in urlopen\\n return opener.open(url, data, timeout)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/home/ubuntu/.local/share/uv/python/cpython-3.11.15-linux-aarch64-gnu/lib/python3.11/urllib/request.py\\\", line 525, in open\\n response = meth(req, response)\\n ^^^^^^^^^^^^^^^^^^^\\n File \\\"/home/ubuntu/.local/share/uv/python/cpython-3.11.15-linux-aarch64-gnu/lib/python3.11/urllib/request.py\\\", line 634, in http_response\\n response = self.parent.error(\\n ^^^^^^^^^^^^^^^^^^\\n File \\\"/home/ubuntu/.local/share/uv/python/cpython-3.11.15-linux-aarch64-gnu/lib/python3.11/urllib/request.py\\\", line 563, in error\\n return self._call_chain(*args)\\n ^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/home/ubuntu/.local/share/uv/python/cpython-3.11.15-linux-aarch64-gnu/lib/python3.11/urllib/request.py\\\", line 496, in _call_chain\\n result = func(*args)\\n ^^^^^^^^^^^\\n File \\\"/home/ubuntu/.local/share/uv/python/cpython-3.11.15-linux-aarch64-gnu/lib/python3.11/urllib/request.py\\\", line 643, in http_error_default\\n raise HTTPError(req.full_url, code, msg, hdrs, fp)\\nurllib.error.HTTPError: HTTP Error 400: Bad Request\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_J3eBxI8RwCuJHRlyaTFjzaki", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDO8fH3hDlj8AUiXUyzOQdGclQ-anMgPMFRMvS0QVAOmWt9Il6vpuRJPyG1QXrZzEzpQzCPjffP41dTyUYxb-TgGXcQHxDPtG1CL27TwIqQmvvOCgChF2YMSRCvaR3mIXKcSk0KepaxFTfZLcX9zRBp8UKlDeCnmrDoQ4sQ01FAH2HHsevdSiDc1kF9fWWAYIVa1wR57OR3HcwU_g31W6WMztp1WSHVi_7Qn6SSfUxSwjwroj9P4eEJYP3NLEYG2XaaGT7oVNHhSlM3gt9WfUqrucjDl9R5haJn5RTTO12IdhZWsjqE29baA4zStgrK3Bm_7FS86bG7ZwjjlTN6qY_pNfsVHeWB7BR3IS6SFonh7cbx2mOTDXA0qOvvY30isEubier2obCZHJfD-ALEN-dURHarh7hYfzkHLuInrM4K_TApj5-DUEaPaU_kzlXAqSp5Zl0Jd8jOHtz_UArUfgfUbSOXQmJ12AYHJEuzEkDeqR7C7tt54KFZkKZtDbAQr5ufGo1ry1k89wXRLusHskJlKFIKdpcFFH23r8k_1z37Hexz23DZmTDXSNmsBHTAluZ8eK-T_38pSODSnYVlFD7mzfKaSLBYhZ5A85XHgGz-qpDZvSivtYIDXxV6eg7Mjq_Uq2KfA5pYS7QSyycPjWL8lbiQaZICO0vPetWMbgo7j1iN5aAnq9gPwVWJEBZ_V99iRU4Fj9S4ME1r80BGbFz0pstwEDc4H8y-DumavHiEFGCRPIbVhN-scvBxQ0j7B4ca9GvATL5UhEJt26o7yp7pq3Sp2EosgM-gs3Co1FUsOGzxbosvwmeH-ysMGTncUuqlB99jVc1n4wdPUjSOdkLnJ2Rl01SYCZDcsASeKHVC1LvHZGunJS2_VoTHKDMSfYdtGDHACsDMSo950FF2J9w4yIgSCAnVW-nThN2pA-dpvBcEQghFOwQZ0ziM4aN4rGpd73iOmaDCL6ZpoEsN4dIlPK3rEsR7XJ3hqvlNx2aj4PXgk=", "id": "rs_06d034090aab91f3016a0cef1f3ef88194ae8474381644160e", "summary": []}], "tool_calls": [{"id": "call_SLrHWJO12IKQus8JGqC4zuGQ", "call_id": "call_SLrHWJO12IKQus8JGqC4zuGQ", "response_item_id": "fc_06d034090aab91f3016a0cef1fda6c8194bc9cff848e8a84a5", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"TOKEN=$(python3 /home/ubuntu/health-bridge/scripts/google_fit_oauth.py token) python3 - <<'PY'\\nimport os,json,urllib.request,urllib.parse\\nfrom datetime import datetime,date,time\\nfrom zoneinfo import ZoneInfo\\nTOKEN=os.environ['TOKEN']; z=ZoneInfo('America/Argentina/Buenos_Aires')\\ndef ms(d): return int(datetime.combine(d,time.min,tzinfo=z).timestamp()*1000)\\nbody={\\\"aggregateBy\\\":[{\\\"dataSourceId\\\":\\\"derived:com.google.step_count.delta:com.google.android.gms:estimated_steps\\\"}],\\\"bucketByTime\\\":{\\\"period\\\":{\\\"type\\\":\\\"day\\\",\\\"value\\\":1,\\\"timeZoneId\\\":\\\"America/Argentina/Buenos_Aires\\\"}},\\\"startTimeMillis\\\":ms(date(2026,1,1)),\\\"endTimeMillis\\\":ms(date(2026,5,20))}\\nreq=urllib.request.Request('https://www.googleapis.com/fitness/v1/users/me/dataset:aggregate', data=json.dumps(body).encode(), headers={'Authorization':f'Bearer {TOKEN}','Content-Type':'application/json;encoding=utf-8'})\\ntry: print(urllib.request.urlopen(req, timeout=30).read().decode()[:500])\\nexcept urllib.error.HTTPError as e:\\n print('HTTP',e.code); print(e.read().decode())\\nPY\",\"timeout\":60}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"HTTP 400\\n{\\n \\\"error\\\": {\\n \\\"code\\\": 400,\\n \\\"message\\\": \\\"aggregate duration too large\\\",\\n \\\"errors\\\": [\\n {\\n \\\"message\\\": \\\"aggregate duration too large\\\",\\n \\\"domain\\\": \\\"global\\\",\\n \\\"reason\\\": \\\"invalidArgument\\\"\\n }\\n ],\\n \\\"status\\\": \\\"INVALID_ARGUMENT\\\"\\n }\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_SLrHWJO12IKQus8JGqC4zuGQ", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDO8uKzyFmKkwJsh2m0sp-H5DvxQiiGcxaUv3DapwA19g7FIAHGbMVtBV54hXtzFeiQjhDOqmBZdW-0Z1dc7rwD5Hpcfo-8wlOM4XXev4J5QTFls-Cwm8_vPW30-fc0a8SCmVMlJwC4M72wxDkOyXAdKDSYXDl_RODwtJir_pFko9EAjHEDDVjwSWWDNM8HrKMB06GNzi_UT1s8TIdi2DZMrSdLSiNLhRo_sbgDcvbtUtURcGJrht59mEm_A1mglSgANOimG4u2g_8nyylKynKpIX16dXxJ2A2hiuzL4vAazKfxo0-avxpxP1XUIVkbKPtBngRDc4j2HNjglqBIYmZRjJSQxV--kfR9f4-H7AGJ5RUng_lh17GHunkDfzbimQdEHtzORu2ZZHv2qeCJcC6x4KcTZUMvpmtMlUK2Z6IFw3jJuBhk0_KW5wRl2FyltFlT7qxQQhT4fCvz0Hzb-gNeh4Gzi977nA-0N60loSD_oE6T51m4-4qPCQFOafhsxQLwfjTm4A_3e9Cp8Bi2z_17RNLMm62EsCMSIpPaSN5I5eXyjUWAkGK8tgihx722BHNTmNwB8-jBCeM-B8DnbyBo3YmkciG48CGVH9JA3ghEn-tmZwE1cLxfu-A2fHEyGiLo466WQidre5mvrzt7xrnclt_qcrKh8M3rP_fa165WApvvwOcJJ-lqoNGjm-QVW6ciLtlKNnNYVNMN75-wxA419rUBHRoGe8tqCtKC6QFpGUzxCb4ZvtPDUE4vQT4mnS2aVe5T-04PikX8akfbclRN_RXxGain1XT9ZmURuFcs2dDDDBuXOato8DkS4U8nMSkmLqWFB5S8yKgwh05C2JRFYUHI3SUXmcV3PPiqGOBHnaGuEROjRPY9cbqmYuBqbXZZ50dKiAuv2XIYliU2RUuEtH4BJFNMWLWhnIeMFx3G0YluSe9tDyA3-lWdJ1u9tQ_xYbKQM-HvKpPIKqe0RR1nCvx7Of9-K6wqTvFVBMy4fd0qZwSqMxwhQp5_eiZloOecV_6uld90yfi1eh8XpWqRV4tWJDQ_8vBH9yU6WMP9mnkr-xTNn2DWirn0R-YuhNa1Ul7zepaLnwdWV6kS1HzTAUvBa2aSC_RUr9ajNtTxx4CnQ-mgGNb_MfcG473TH5gwH0OT-zuGje5xSs2bDMEuT8iw==", "id": "rs_06d034090aab91f3016a0cef28e0248194b177f8bb36d26f8c", "summary": []}], "tool_calls": [{"id": "call_FCFTmjl2ERXl2qdtRbTCtMPD", "call_id": "call_FCFTmjl2ERXl2qdtRbTCtMPD", "response_item_id": "fc_06d034090aab91f3016a0cef2ec9e08194b649908c7bcb3aac", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"from datetime import datetime, date, time, timedelta\",\"old_string\":\"from datetime import datetime, date, time\",\"path\":\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\"}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\\n+++ b//home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\\n@@ -12,7 +12,7 @@\\n import os\\n import sys\\n import urllib.request\\n-from datetime import datetime, date, time\\n+from datetime import datetime, date, time, timedelta\\n from zoneinfo import ZoneInfo\\n \\n FIT_URL = \\\"https://www.googleapis.com/fitness/v1/users/me/dataset:aggregate\\\"\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_FCFTmjl2ERXl2qdtRbTCtMPD", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_SNVawCnMVATooQYSJYTpAiPV", "call_id": "call_SNVawCnMVATooQYSJYTpAiPV", "response_item_id": "fc_06d034090aab91f3016a0cef33a8f48194a0cb787dec441bb8", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"def request_json(url, body=None, headers=None):\\n data = json.dumps(body).encode() if body is not None else None\\n req = urllib.request.Request(url, data=data, headers=headers or {}, method=\\\"POST\\\" if body is not None else \\\"GET\\\")\\n try:\\n with urllib.request.urlopen(req, timeout=60) as resp:\\n return json.loads(resp.read().decode())\\n except urllib.error.HTTPError as e:\\n detail = e.read().decode()\\n raise RuntimeError(f\\\"HTTP {e.code} from {url}: {detail}\\\") from e\\n\",\"old_string\":\"def request_json(url, body=None, headers=None):\\n data = json.dumps(body).encode() if body is not None else None\\n req = urllib.request.Request(url, data=data, headers=headers or {}, method=\\\"POST\\\" if body is not None else \\\"GET\\\")\\n with urllib.request.urlopen(req, timeout=60) as resp:\\n return json.loads(resp.read().decode())\\n\",\"path\":\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\"}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\\n+++ b//home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\\n@@ -28,8 +28,12 @@\\n def request_json(url, body=None, headers=None):\\n data = json.dumps(body).encode() if body is not None else None\\n req = urllib.request.Request(url, data=data, headers=headers or {}, method=\\\"POST\\\" if body is not None else \\\"GET\\\")\\n- with urllib.request.urlopen(req, timeout=60) as resp:\\n- return json.loads(resp.read().decode())\\n+ try:\\n+ with urllib.request.urlopen(req, timeout=60) as resp:\\n+ return json.loads(resp.read().decode())\\n+ except urllib.error.HTTPError as e:\\n+ detail = e.read().decode()\\n+ raise RuntimeError(f\\\"HTTP {e.code} from {url}: {detail}\\\") from e\\n \\n def extract_steps(bucket):\\n total = 0\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"lsp_diagnostics\": \"LSP diagnostics introduced by this edit:\\n\\nERROR [34:19] \\\"error\\\" is not a known attribute of module \\\"urllib\\\" [reportAttributeAccessIssue] (Pyright)\\n\"}", "tool_call_id": "call_SNVawCnMVATooQYSJYTpAiPV", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_TK2rIXAgazjptYwlovCKipA4", "call_id": "call_TK2rIXAgazjptYwlovCKipA4", "response_item_id": "fc_06d034090aab91f3016a0cef3df24c8194a8e2324ca40c6843", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"import urllib.error\\nimport urllib.request\",\"old_string\":\"import urllib.request\",\"path\":\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\"}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\\n+++ b//home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\\n@@ -11,6 +11,7 @@\\n import json\\n import os\\n import sys\\n+import urllib.error\\n import urllib.request\\n from datetime import datetime, date, time, timedelta\\n from zoneinfo import ZoneInfo\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_TK2rIXAgazjptYwlovCKipA4", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_eFfc9SM3NTB4YOq1beGiAvtR", "call_id": "call_eFfc9SM3NTB4YOq1beGiAvtR", "response_item_id": "fc_06d034090aab91f3016a0cef448c508194986b43f41308be76", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\",\"offset\":45,\"limit\":65}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "read_file", "content": "{\"content\": \" 45| return total\\n 46|\\n 47|def main():\\n 48| token = os.environ.get(\\\"GOOGLE_FIT_ACCESS_TOKEN\\\")\\n 49| if not token:\\n 50| print(\\\"ERROR: set GOOGLE_FIT_ACCESS_TOKEN with fitness.activity.read scope\\\", file=sys.stderr)\\n 51| return 2\\n 52|\\n 53| zone = ZoneInfo(TZ)\\n 54| start = date(2026, 1, 1)\\n 55| # Include through today if running during 2026; otherwise full year.\\n 56| today = datetime.now(zone).date()\\n 57| end = min(today, date(2026, 12, 31)) if today.year == 2026 else date(2026, 12, 31)\\n 58| body = {\\n 59| \\\"aggregateBy\\\": [{\\n 60| \\\"dataSourceId\\\": \\\"derived:com.google.step_count.delta:com.google.android.gms:estimated_steps\\\"\\n 61| }],\\n 62| \\\"bucketByTime\\\": {\\n 63| \\\"period\\\": {\\\"type\\\": \\\"day\\\", \\\"value\\\": 1, \\\"timeZoneId\\\": TZ}\\n 64| },\\n 65| \\\"startTimeMillis\\\": millis(start, zone),\\n 66| \\\"endTimeMillis\\\": millis(end.replace(day=end.day), zone) + 24 * 60 * 60 * 1000,\\n 67| }\\n 68| fit = request_json(FIT_URL, body, {\\n 69| \\\"Authorization\\\": f\\\"Bearer {token}\\\",\\n 70| \\\"Content-Type\\\": \\\"application/json;encoding=utf-8\\\",\\n 71| })\\n 72|\\n 73| records = []\\n 74| for b in fit.get(\\\"bucket\\\", []):\\n 75| start_ms = int(b[\\\"startTimeMillis\\\"])\\n 76| end_ms = int(b[\\\"endTimeMillis\\\"])\\n 77| local = datetime.fromtimestamp(start_ms / 1000, zone).date().isoformat()\\n 78| steps = extract_steps(b)\\n 79| records.append({\\n 80| \\\"type\\\": \\\"daily_aggregate\\\",\\n 81| \\\"subject\\\": SUBJECT,\\n 82| \\\"source\\\": SOURCE,\\n 83| \\\"local_date\\\": local,\\n 84| \\\"period_start\\\": datetime.fromtimestamp(start_ms / 1000, ZoneInfo(\\\"UTC\\\")).isoformat().replace(\\\"+00:00\\\", \\\"Z\\\"),\\n 85| \\\"period_end\\\": datetime.fromtimestamp(end_ms / 1000, ZoneInfo(\\\"UTC\\\")).isoformat().replace(\\\"+00:00\\\", \\\"Z\\\"),\\n 86| \\\"steps\\\": steps,\\n 87| # Match existing Health Connect aggregate key shape so cloud totals replace zero local rows idempotently.\\n 88| \\\"record_key\\\": f\\\"daily_aggregate:{SUBJECT}:{local}\\\",\\n 89| })\\n 90|\\n 91| payload = {\\\"subject\\\": SUBJECT, \\\"timezone\\\": TZ, \\\"records\\\": records}\\n 92| result = request_json(INGEST_URL, payload, {\\n 93| \\\"Authorization\\\": f\\\"Bearer {HEALTH_TOKEN}\\\",\\n 94| \\\"Content-Type\\\": \\\"application/json\\\",\\n 95| })\\n 96| nonzero = sum(1 for r in records if r[\\\"steps\\\"] > 0)\\n 97| print(json.dumps({\\n 98| \\\"status\\\": \\\"ok\\\",\\n 99| \\\"fit_buckets\\\": len(fit.get(\\\"bucket\\\", [])),\\n 100| \\\"records_posted\\\": len(records),\\n 101| \\\"nonzero_step_days\\\": nonzero,\\n 102| \\\"step_sum\\\": sum(r[\\\"steps\\\"] for r in records),\\n 103| \\\"ingest\\\": result,\\n 104| }, indent=2))\\n 105| return 0\\n 106|\\n 107|if __name__ == \\\"__main__\\\":\\n 108| raise SystemExit(main())\\n 109|\", \"total_lines\": 108, \"file_size\": 4373, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_eFfc9SM3NTB4YOq1beGiAvtR", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_YjrQPZEA971HHWCtuRy9rGCm", "call_id": "call_YjrQPZEA971HHWCtuRy9rGCm", "response_item_id": "fc_06d034090aab91f3016a0cef490c9081949ea3203a472e9ab3", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" records = []\\n cursor = start\\n chunks = 0\\n while cursor <= end:\\n chunk_end = min(cursor + timedelta(days=29), end)\\n body = {\\n \\\"aggregateBy\\\": [{\\n \\\"dataSourceId\\\": \\\"derived:com.google.step_count.delta:com.google.android.gms:estimated_steps\\\"\\n }],\\n \\\"bucketByTime\\\": {\\n \\\"period\\\": {\\\"type\\\": \\\"day\\\", \\\"value\\\": 1, \\\"timeZoneId\\\": TZ}\\n },\\n \\\"startTimeMillis\\\": millis(cursor, zone),\\n \\\"endTimeMillis\\\": millis(chunk_end + timedelta(days=1), zone),\\n }\\n fit = request_json(FIT_URL, body, {\\n \\\"Authorization\\\": f\\\"Bearer {token}\\\",\\n \\\"Content-Type\\\": \\\"application/json;encoding=utf-8\\\",\\n })\\n chunks += 1\\n for b in fit.get(\\\"bucket\\\", []):\\n start_ms = int(b[\\\"startTimeMillis\\\"])\\n end_ms = int(b[\\\"endTimeMillis\\\"])\\n local = datetime.fromtimestamp(start_ms / 1000, zone).date().isoformat()\\n steps = extract_steps(b)\\n records.append({\\n \\\"type\\\": \\\"daily_aggregate\\\",\\n \\\"subject\\\": SUBJECT,\\n \\\"source\\\": SOURCE,\\n \\\"local_date\\\": local,\\n \\\"period_start\\\": datetime.fromtimestamp(start_ms / 1000, ZoneInfo(\\\"UTC\\\")).isoformat().replace(\\\"+00:00\\\", \\\"Z\\\"),\\n \\\"period_end\\\": datetime.fromtimestamp(end_ms / 1000, ZoneInfo(\\\"UTC\\\")).isoformat().replace(\\\"+00:00\\\", \\\"Z\\\"),\\n \\\"steps\\\": steps,\\n # Match existing Health Connect aggregate key shape so cloud totals replace zero local rows idempotently.\\n \\\"record_key\\\": f\\\"daily_aggregate:{SUBJECT}:{local}\\\",\\n })\\n cursor = chunk_end + timedelta(days=1)\\n\",\"old_string\":\" body = {\\n \\\"aggregateBy\\\": [{\\n \\\"dataSourceId\\\": \\\"derived:com.google.step_count.delta:com.google.android.gms:estimated_steps\\\"\\n }],\\n \\\"bucketByTime\\\": {\\n \\\"period\\\": {\\\"type\\\": \\\"day\\\", \\\"value\\\": 1, \\\"timeZoneId\\\": TZ}\\n },\\n \\\"startTimeMillis\\\": millis(start, zone),\\n \\\"endTimeMillis\\\": millis(end.replace(day=end.day), zone) + 24 * 60 * 60 * 1000,\\n }\\n fit = request_json(FIT_URL, body, {\\n \\\"Authorization\\\": f\\\"Bearer {token}\\\",\\n \\\"Content-Type\\\": \\\"application/json;encoding=utf-8\\\",\\n })\\n\\n records = []\\n for b in fit.get(\\\"bucket\\\", []):\\n start_ms = int(b[\\\"startTimeMillis\\\"])\\n end_ms = int(b[\\\"endTimeMillis\\\"])\\n local = datetime.fromtimestamp(start_ms / 1000, zone).date().isoformat()\\n steps = extract_steps(b)\\n records.append({\\n \\\"type\\\": \\\"daily_aggregate\\\",\\n \\\"subject\\\": SUBJECT,\\n \\\"source\\\": SOURCE,\\n \\\"local_date\\\": local,\\n \\\"period_start\\\": datetime.fromtimestamp(start_ms / 1000, ZoneInfo(\\\"UTC\\\")).isoformat().replace(\\\"+00:00\\\", \\\"Z\\\"),\\n \\\"period_end\\\": datetime.fromtimestamp(end_ms / 1000, ZoneInfo(\\\"UTC\\\")).isoformat().replace(\\\"+00:00\\\", \\\"Z\\\"),\\n \\\"steps\\\": steps,\\n # Match existing Health Connect aggregate key shape so cloud totals replace zero local rows idempotently.\\n \\\"record_key\\\": f\\\"daily_aggregate:{SUBJECT}:{local}\\\",\\n })\\n\",\"path\":\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\"}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\\n+++ b//home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\\n@@ -55,38 +55,43 @@\\n # Include through today if running during 2026; otherwise full year.\\n today = datetime.now(zone).date()\\n end = min(today, date(2026, 12, 31)) if today.year == 2026 else date(2026, 12, 31)\\n- body = {\\n- \\\"aggregateBy\\\": [{\\n- \\\"dataSourceId\\\": \\\"derived:com.google.step_count.delta:com.google.android.gms:estimated_steps\\\"\\n- }],\\n- \\\"bucketByTime\\\": {\\n- \\\"period\\\": {\\\"type\\\": \\\"day\\\", \\\"value\\\": 1, \\\"timeZoneId\\\": TZ}\\n- },\\n- \\\"startTimeMillis\\\": millis(start, zone),\\n- \\\"endTimeMillis\\\": millis(end.replace(day=end.day), zone) + 24 * 60 * 60 * 1000,\\n- }\\n- fit = request_json(FIT_URL, body, {\\n- \\\"Authorization\\\": f\\\"Bearer {token}\\\",\\n- \\\"Content-Type\\\": \\\"application/json;encoding=utf-8\\\",\\n- })\\n-\\n records = []\\n- for b in fit.get(\\\"bucket\\\", []):\\n- start_ms = int(b[\\\"startTimeMillis\\\"])\\n- end_ms = int(b[\\\"endTimeMillis\\\"])\\n- local = datetime.fromtimestamp(start_ms / 1000, zone).date().isoformat()\\n- steps = extract_steps(b)\\n- records.append({\\n- \\\"type\\\": \\\"daily_aggregate\\\",\\n- \\\"subject\\\": SUBJECT,\\n- \\\"source\\\": SOURCE,\\n- \\\"local_date\\\": local,\\n- \\\"period_start\\\": datetime.fromtimestamp(start_ms / 1000, ZoneInfo(\\\"UTC\\\")).isoformat().replace(\\\"+00:00\\\", \\\"Z\\\"),\\n- \\\"period_end\\\": datetime.fromtimestamp(end_ms / 1000, ZoneInfo(\\\"UTC\\\")).isoformat().replace(\\\"+00:00\\\", \\\"Z\\\"),\\n- \\\"steps\\\": steps,\\n- # Match existing Health Connect aggregate key shape so cloud totals replace zero local rows idempotently.\\n- \\\"record_key\\\": f\\\"daily_aggregate:{SUBJECT}:{local}\\\",\\n+ cursor = start\\n+ chunks = 0\\n+ while cursor <= end:\\n+ chunk_end = min(cursor + timedelta(days=29), end)\\n+ body = {\\n+ \\\"aggregateBy\\\": [{\\n+ \\\"dataSourceId\\\": \\\"derived:com.google.step_count.delta:com.google.android.gms:estimated_steps\\\"\\n+ }],\\n+ \\\"bucketByTime\\\": {\\n+ \\\"period\\\": {\\\"type\\\": \\\"day\\\", \\\"value\\\": 1, \\\"timeZoneId\\\": TZ}\\n+ },\\n+ \\\"startTimeMillis\\\": millis(cursor, zone),\\n+ \\\"endTimeMillis\\\": millis(chunk_end + timedelta(days=1), zone),\\n+ }\\n+ fit = request_json(FIT_URL, body, {\\n+ \\\"Authorization\\\": f\\\"Bearer {token}\\\",\\n+ \\\"Content-Type\\\": \\\"application/json;encoding=utf-8\\\",\\n })\\n+ chunks += 1\\n+ for b in fit.get(\\\"bucket\\\", []):\\n+ start_ms = int(b[\\\"startTimeMillis\\\"])\\n+ end_ms = int(b[\\\"endTimeMillis\\\"])\\n+ local = datetime.fromtimestamp(start_ms / 1000, zone).date().isoformat()\\n+ steps = extract_steps(b)\\n+ records.append({\\n+ \\\"type\\\": \\\"daily_aggregate\\\",\\n+ \\\"subject\\\": SUBJECT,\\n+ \\\"source\\\": SOURCE,\\n+ \\\"local_date\\\": local,\\n+ \\\"period_start\\\": datetime.fromtimestamp(start_ms / 1000, ZoneInfo(\\\"UTC\\\")).isoformat().replace(\\\"+00:00\\\", \\\"Z\\\"),\\n+ \\\"period_end\\\": datetime.fromtimestamp(end_ms / 1000, ZoneInfo(\\\"UTC\\\")).isoformat().replace(\\\"+00:00\\\", \\\"Z\\\"),\\n+ \\\"steps\\\": steps,\\n+ # Match existing Health Connect aggregate key shape so cloud totals replace zero local rows idempotently.\\n+ \\\"record_key\\\": f\\\"daily_aggregate:{SUBJECT}:{local}\\\",\\n+ })\\n+ cursor = chunk_end + timedelta(days=1)\\n \\n payload = {\\\"subject\\\": SUBJECT, \\\"timezone\\\": TZ, \\\"records\\\": records}\\n result = request_json(INGEST_URL, payload, {\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"lsp_diagnostics\": \"LSP diagnostics introduced by this edit:\\n\\nERROR [104:28] \\\"fit\\\" is possibly unbound [reportPossiblyUnboundVariable] (Pyright)\\n\", \"_warning\": \"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py was last read with offset/limit pagination (partial view). Re-read the whole file before overwriting it.\"}", "tool_call_id": "call_YjrQPZEA971HHWCtuRy9rGCm", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_e5fhYVsmbkJrRM1Gcx0PyRzQ", "call_id": "call_e5fhYVsmbkJrRM1Gcx0PyRzQ", "response_item_id": "fc_06d034090aab91f3016a0cef5dc0548194ad54043df20ba9ae", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" \\\"fit_chunks\\\": chunks,\\n \\\"records_posted\\\": len(records),\",\"old_string\":\" \\\"fit_buckets\\\": len(fit.get(\\\"bucket\\\", [])),\\n \\\"records_posted\\\": len(records),\",\"path\":\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\"}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\\n+++ b//home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\\n@@ -101,7 +101,7 @@\\n nonzero = sum(1 for r in records if r[\\\"steps\\\"] > 0)\\n print(json.dumps({\\n \\\"status\\\": \\\"ok\\\",\\n- \\\"fit_buckets\\\": len(fit.get(\\\"bucket\\\", [])),\\n+ \\\"fit_chunks\\\": chunks,\\n \\\"records_posted\\\": len(records),\\n \\\"nonzero_step_days\\\": nonzero,\\n \\\"step_sum\\\": sum(r[\\\"steps\\\"] for r in records),\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_e5fhYVsmbkJrRM1Gcx0PyRzQ", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_8PHeIHGqOTABwk4momeXv5K9", "call_id": "call_8PHeIHGqOTABwk4momeXv5K9", "response_item_id": "fc_06d034090aab91f3016a0cef6486708194995cae3c804044c9", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"TOKEN=$(python3 /home/ubuntu/health-bridge/scripts/google_fit_oauth.py token) && GOOGLE_FIT_ACCESS_TOKEN=\\\"$TOKEN\\\" python3 /home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\",\"timeout\":240}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"{\\n \\\"status\\\": \\\"ok\\\",\\n \\\"fit_chunks\\\": 5,\\n \\\"records_posted\\\": 139,\\n \\\"nonzero_step_days\\\": 139,\\n \\\"step_sum\\\": 1491537,\\n \\\"ingest\\\": {\\n \\\"status\\\": \\\"ok\\\",\\n \\\"records\\\": 139,\\n \\\"dates_rebuilt\\\": [\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-01\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-02\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-03\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-04\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-05\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-06\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-07\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-08\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-09\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-10\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-11\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-12\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-13\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-14\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-15\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-16\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-17\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-18\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-19\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-20\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-21\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-22\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-23\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-24\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-25\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-26\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-27\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-28\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-29\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-30\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-01-31\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-01\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-02\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-03\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-04\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-05\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-06\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-07\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-08\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-09\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-10\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-11\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-12\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-13\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-14\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-15\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-16\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-17\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-18\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-19\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-20\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-21\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-22\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-23\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-24\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-25\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-26\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-27\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-02-28\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-01\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-02\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-03\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-04\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-05\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-06\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-07\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-08\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-09\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-10\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-11\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-12\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-13\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-14\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-15\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-16\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-17\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-18\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-19\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-20\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-21\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-22\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-23\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-24\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-25\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-26\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-27\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-28\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-29\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-30\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-03-31\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-01\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-02\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-03\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-04\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-05\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-06\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-07\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-08\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-09\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-10\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-11\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-12\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-13\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-14\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-15\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-16\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-17\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-18\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-19\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-20\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-21\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-22\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-23\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-24\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-25\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-26\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-27\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-28\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-29\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-04-30\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-05-01\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-05-02\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-05-03\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-05-04\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-05-05\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-05-06\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-05-07\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-05-08\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-05-09\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-05-10\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-05-11\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-05-12\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-05-13\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-05-14\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-05-15\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-05-16\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-05-17\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-05-18\\\"\\n },\\n {\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"date\\\": \\\"2026-05-19\\\"\\n }\\n ]\\n }\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_8PHeIHGqOTABwk4momeXv5K9", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDO9vMhjHRgeB-LrBTaHnPCfyiL9ECVqA8A4G151mi-okE-zyKSu8swDT0yoRDfud-Zh5766-26NWpLV1yqBllhZQnW97TNgvv_Ji9HId4BC5uopHCerU_pCMhjcLxQvWcQM8GbkMwEAK0G_QiDerZBHfnKLqLlFSK8mneW0N8M_sSxwIL3TaKz7DhGQeU-wv5KMI7o7oX2SFuRjavuYswQ21J18o11z0KaiRg0PYS1VYfNLEcej0iXqg7DOpdF6i4FnKzUoFCJg_D4b0Hn11kDvmNKqBKKUVLLnlysX6ayw9uhz1fnP_4ynmf-mvLVUVSVJqQjUn92VR4Bx-flcaMtUFsH0TStO7hNnbbvqltLK5E8-BhhsP9FkAWWFILdiBczeWlxtgZcF6NcoTZcNWvMxcBPodvNvk7-obP0ljV4lhsWFmbx-A1PHbB865vLMpFA5y_UQWMWOOmpRi93kFCMBPNNHnOtjiDlXqGNt1go6xFiG3ePjhTg5eSxmHy3zYFIk-lXaQcjO2m4t0_enC2UjvtU0KiafDHWu30C045MUjgOzvm1Yj2y_ivC7K07QLzTz3pbzCaiYRa-Ot0qy-GTUAF7TlvX0mLF1cRc1j6WsOarKR5jpZwjayLuwBvHE_taBdGx-JQWbDP5DU79U11tL5kaAELPAtsvlpM_DEXpO3RYA5c13qKEnjCCSbxHZyqmfTZNWr1LCLQAN2NksLoUOvs8IzJqrqlN5-9P3TTObsSWsdiNQ0LPE7carJycVEToU5inBAN79p3IRM0F0DWpDDgOYyMFxAYWXPy3iS3uEEnrJn0NiV8Nfg7YNK2684lQNIAtBFyFNWlwdyot97Ii4XHuYaXRtpXNw6WiSUWOaejYnBr9leN-lJ325AOv0EHzg4kKpF7VZgnFWkZ7YsE4JJGlQ1gKjnqsBvlh-34VWwHy0=", "id": "rs_06d034090aab91f3016a0cef6f7f548194bfeeae7f5be47651", "summary": []}], "tool_calls": [{"id": "call_Ft0GOgAP7DkXLvQK1qUDX9qb", "call_id": "call_Ft0GOgAP7DkXLvQK1qUDX9qb", "response_item_id": "fc_06d034090aab91f3016a0cef6ff9448194825106d1c69f2ebd", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python3 - <<'PY'\\nimport sqlite3\\ncon=sqlite3.connect('/home/ubuntu/health-bridge/health.db')\\nprint('2026 summary', con.execute(\\\"select min(date), max(date), count(*), sum(steps>0), sum(steps), max(steps) from daily_summary where subject='chicho' and date between '2026-01-01' and '2026-12-31'\\\").fetchone())\\nprint('\\\\nmonths')\\nfor r in con.execute(\\\"\\\"\\\"\\nselect substr(date,1,7), count(*), sum(case when steps>0 then 1 else 0 end), sum(steps), cast(avg(nullif(steps,0)) as int), max(steps)\\nfrom daily_summary where subject='chicho' and date between '2026-01-01' and '2026-12-31'\\ngroup by 1 order by 1\\n\\\"\\\"\\\"):\\n print(r)\\nprint('\\\\nsample Jan')\\nfor r in con.execute(\\\"select date, steps from daily_summary where subject='chicho' and date between '2026-01-01' and '2026-01-10' order by date\\\"):\\n print(r)\\nprint('\\\\nsource check')\\nfor r in con.execute(\\\"select source, count(*), min(local_date), max(local_date) from raw_data where subject='chicho' and data_type='daily_aggregate' group by source order by source\\\"):\\n print(r)\\nPY\",\"timeout\":180}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"2026 summary ('2026-01-01', '2026-05-19', 139, 139, 1491537, 24117)\\n\\nmonths\\n('2026-01', 31, 31, 315133, 10165, 24117)\\n('2026-02', 28, 28, 300428, 10729, 21075)\\n('2026-03', 31, 31, 323728, 10442, 21871)\\n('2026-04', 30, 30, 318088, 10602, 20157)\\n('2026-05', 19, 19, 234160, 12324, 22089)\\n\\nsample Jan\\n('2026-01-01', 24117)\\n('2026-01-02', 9927)\\n('2026-01-03', 8039)\\n('2026-01-04', 15774)\\n('2026-01-05', 15824)\\n('2026-01-06', 9052)\\n('2026-01-07', 3995)\\n('2026-01-08', 5285)\\n('2026-01-09', 9984)\\n('2026-01-10', 9619)\\n\\nsource check\\n('google_fit_rest', 139, '2026-01-01', '2026-05-19')\\n('health_connect', 4018, '2015-01-01', '2025-12-31')\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_Ft0GOgAP7DkXLvQK1qUDX9qb", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": "**Investigating data discrepancies**\n\nI need to check for discrepancies in the current day's data. It seems the existing Health Connect source for 2026 is gone due to a record key replacement. However, the source check indicates there's still data for 2025. This raises concerns since the total distance in kcal is missing for 2026, potentially overwriting my previous records. It’s critical to inspect what was lost and if I can reconstruct the necessary data without panicking. I need to think about how to adjust my import strategy to avoid these overwrites.\n**Exploring data recovery options**\n\nI’m thinking about merging daily aggregates based on non-zero metrics since the old raw data for 2026 is gone. I can possibly run a recent Health Bridge import to recover the last seven days. For the distance from January to March, I might query Google Fit for distance and calories. I need to adjust my script to ensure it includes that data. For now, it seems like the summary may report a distance of zero for all of 2026, so I need to verify that.", "finish_reason": "tool_calls", "reasoning_content": "**Investigating data discrepancies**\n\nI need to check for discrepancies in the current day's data. It seems the existing Health Connect source for 2026 is gone due to a record key replacement. However, the source check indicates there's still data for 2025. This raises concerns since the total distance in kcal is missing for 2026, potentially overwriting my previous records. It’s critical to inspect what was lost and if I can reconstruct the necessary data without panicking. I need to think about how to adjust my import strategy to avoid these overwrites.\n**Exploring data recovery options**\n\nI’m thinking about merging daily aggregates based on non-zero metrics since the old raw data for 2026 is gone. I can possibly run a recent Health Bridge import to recover the last seven days. For the distance from January to March, I might query Google Fit for distance and calories. I need to adjust my script to ensure it includes that data. For now, it seems like the summary may report a distance of zero for all of 2026, so I need to verify that.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDO-DbkBFYl3AsCNOcfHwql9GR7Yd8VmE4KffhBzkAlifHv5_dUL8KeYvY8jLpdlAdxT7R6Ft0blSDZjygHkXVBWUaq-kCDMmiPsj8fAp7sLBGDwcuxPgD838p3GWf-wYaydksGE8uQ97f7f7MwWw9p8J2H6V9Or8dZQJ-_b2EAWDHVOLUXvQ8PbksVHtkAI-rOjto0TDqhsWZuTdGxj1-NcIgJGCLeR55yCCPMOxrHo3Z4Vcv-oyxpkTTCvntt1ZRUxQ60BK5hx-IeT4z0YZXAmVQGx1iz-3ioFR54BRTKloFgffDx74c1gkl6R6g_i2eW7dQpdR34LKnLu57M7iqg8IrjctoCZCrMW4fniEWK22FxfErvpP4d-bSGS-jc4-79brU07PdzLQeudbD5hM3h_eVtaser8jv9HbOz78c37y5tvlsZO6hpIo08TL0yY9pSQNRwxqXO_6ehlbJUEq8ialSy0BAShaixDG80EC6DKuXrBdMM5V_BkuDTmKdHUAu1NgznYFBRHUovSBwBGn_1w_BTBZfssU8BTbGD0oxXfhSfdclJY73qz4ma42iEUORJsijNZtbgfGA9GADMR0j_ynzmU73nu3yzkinVO7N5NlQkcmfFYenGizLi1JFoQuKUt8e_i7OpgJr2DEkA9t80Xd6evJBbVI9TruIXrXuA2otTwAGy8S1w4NB3veiXBgU0Yj45tVO15s6Ps-0xJCm_s5I4m8Wf-DnyO5tOoUzzWorVR0xaklFEkNby-xG_FjuXyGhf5njdrr_MONfPTkMkHg_bSpS0CNoJ8omyqMXT7r6xvlV-z5tFlqkfjq72ZPf9GyAvV_sGmZvKuvZa6ji4tpRytpx2ONwpagFjldZjkXgnabXwY7VX3TyVXstvZbUF6o6hScQWuRAuqiJXJiAxNMM-sg6cr7LUTZjUGmLV4jmoadbofMq2ki5uQkF9xvgaF5YBVFiizDfDVoJDrrLhbHbBhkgoy4umVcVt9a7fae-76IoTte2S2oPXJQH42bk38hsBsoIVeR4Co3_lv-VnKhw3pFoDKJJnucECxITdhFbmq-BodqIwub3PjtKplgCDILdKkYsNa_Qm_1O6VonIx-h4Ywt00sfYU_DNKYf9vmqWd_C6wMbAN8Eudacs5lJMgpM4uVZxQcu6uoRFBVddvEhRrbEQSgGW3qmMdUjBEhi7-UyDdnEvZKZvJOeY9fMGPNJrr8xk3brMETp7Of4z9AUh4en_yB0J_yC-y_isFr4xHK5Bd-CVWVZrfRWw-lgRiA6OWHRWvkiD0xZ9c1QIW4fAMTMnnUFFyGohwfpZo4UvCjSZ_d8QldrdhiX5eiYL5McabV2TwF35ASoJQDxFF73lWkWWCPnaOJpSike0cLiJpTS_1MkGgWd6MncHNrt5YSZMrhUqdWqNdE8nO0CEMFWDUiKcqioYLajhhuWOJk3AhpkW4xZNXzdUsCtipRyrByJ6BbTdf1-CnZAy29vGC1LmSgCslQEuT1MkUhVR7vG6STn23djhs9tUiu85tgsekyQGkvbC5DQHy2CGFq74jNSDdPWLza8EQoJtS7aKUdux_Yj-teCXyo85ff2mP3PhbvmbGh_LqYCgU-5_NXGNOw7Yu6__nBnw76NQc_WKi1RgBVHebdNRzZN2rzZgMsVXhbCKf8eNAAgnlddwYGo-mS9jYz20Vw4ZWoGbiaMLe6ADIVbK7S6uIj6tBlym77gQ-eQHBqMwXP1c_FRcPiT88b2xImsqr5BkFYy7e_7spZxH5dj02mPrZUL2eBp37bjqMGA3KQ4lkjQQVPqzK4voGOjSF4xnjCrWDy4--w0hBgU4vB003V9_X3PEBsrCfshbtLcI3MMMz4Tn9AY0jD6KRtQSr4E7Bm_pIwJfa0ZT0fUc7SYrEYnWTITFD7ixgUUPLIRFE1Hj_-jsizf2NIFpvbIWeeLnDvQTpgFhOqxhr6SaOBs8CPKVxegoIWX6KxmxXEHhGPXpYjqml2fziMEBauR0g4K0UHcXMoBhR6teMPypnBZuIyXJn70GPZ6YrbnxtrIZcnWioOYm-RN_crhtcSb5AUsFv3CJ4hN5jyTPlOIMdK5QNFinB9wutSoQwbHcsmIP_VrrPCX3kYsZhx-Sc07h--mLx1cKeMFKl8yRQYpGSyb4_PCw46TWIofB0N-A4TJOoltAqrnpGeDXGfTkJCAeKl1rp3MpYAh_j8XZrXjiTZjm8Jt11Fw5pTh5RcKGoZQY2xbzERKWsVWDf9t6Gv-7txoXBvpd_CmIuA0lPkV6-J6JBM_R_poarrmzYxlbwVaKJn6CzOJR10fsPXNazVDsie1FOvRNdO4ECnTjpq0USbCbDfQZlO7YtEzjUkxHogiDP-4wyBDxYdrNchJTE5z3YhRPzHYsvB8y9a7HoTuF6TvaOtbwQ-cRUEN9Qwm2PlYHPLPAWjqtldjtT7_W1UfxKfdUyoyIBwWbN9e1Fo_ciwxrCR11Jxm1wzzVZomUvQWqj5txA1sVt2ZPU_aZgQ9WUDjIwRcXPMoj66NworrhJqylsngmZf9obpGOweC4cyPfiEPR5n7Gp__6voxlMXGGE3_gWkVD4caaXfqorRDilgRRylNC2biouK6Ta2KPG_mrWaU-yqWK7B5ZLjIfqWa5o7NMdclkubcyH3yogd6HQOoj3gI87ExkJkyNEOjkwTLOwcNjm1AtMrCwYrlatKIU_BqLnIOE7qqzdBJ9QGHjworOi4UVDe1NOfshlkP-YyJV70axh4h26hhUmOkiVJSQ==", "id": "rs_06d034090aab91f3016a0cef79211081949d7e6873373db4e3", "summary": [{"type": "summary_text", "text": "**Investigating data discrepancies**\n\nI need to check for discrepancies in the current day's data. It seems the existing Health Connect source for 2026 is gone due to a record key replacement. However, the source check indicates there's still data for 2025. This raises concerns since the total distance in kcal is missing for 2026, potentially overwriting my previous records. It’s critical to inspect what was lost and if I can reconstruct the necessary data without panicking. I need to think about how to adjust my import strategy to avoid these overwrites."}, {"type": "summary_text", "text": "**Exploring data recovery options**\n\nI’m thinking about merging daily aggregates based on non-zero metrics since the old raw data for 2026 is gone. I can possibly run a recent Health Bridge import to recover the last seven days. For the distance from January to March, I might query Google Fit for distance and calories. I need to adjust my script to ensure it includes that data. For now, it seems like the summary may report a distance of zero for all of 2026, so I need to verify that."}]}], "tool_calls": [{"id": "call_IHIvzBj4ZU9rr8uZPux7STFg", "call_id": "call_IHIvzBj4ZU9rr8uZPux7STFg", "response_item_id": "fc_06d034090aab91f3016a0cef836d9081948c3cc3b0538ad7e3", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python3 - <<'PY'\\nimport sqlite3\\ncon=sqlite3.connect('/home/ubuntu/health-bridge/health.db')\\nfor r in con.execute(\\\"select substr(date,1,7), sum(distance_m), sum(total_kcal), sum(active_kcal) from daily_summary where subject='chicho' and date between '2026-01-01' and '2026-05-19' group by 1\\\"):\\n print(r)\\nPY\"}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"('2026-01', 0.0, 0.0, 0.0)\\n('2026-02', 0.0, 0.0, 0.0)\\n('2026-03', 0.0, 0.0, 0.0)\\n('2026-04', 0.0, 0.0, 0.0)\\n('2026-05', 0.0, 0.0, 0.0)\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_IHIvzBj4ZU9rr8uZPux7STFg", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": "**Adjusting Google Fit Query**\n\nI need to fix my approach to querying Google Fit for distance and calories. Specifically, I'm looking at data types like com.google.distance.delta and calories.expended. I'll use the aggregateBy method for these data types. It seems I need a script to handle multiple aggregateBy calls. I also should inspect a sample response for one day to understand how the values work. This is feeling a bit complicated, but I'm on it!", "finish_reason": "tool_calls", "reasoning_content": "**Adjusting Google Fit Query**\n\nI need to fix my approach to querying Google Fit for distance and calories. Specifically, I'm looking at data types like com.google.distance.delta and calories.expended. I'll use the aggregateBy method for these data types. It seems I need a script to handle multiple aggregateBy calls. I also should inspect a sample response for one day to understand how the values work. This is feeling a bit complicated, but I'm on it!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDO-I7SY2h63IXKwvi1AFSdU2hFr-R1_xdih4indQJN3GuJ1TFSDUhHT_btJB8CeFOzIVhbAxmkMH8FU77lnFl9sanCPYFVbvO7cH0uqDQt_60ef3zhzR1KozNSoEghsFBvH4P55BLFU19r-sEnkcQQv5PnO8wLLJOUg-UTofeAW5zMRcRDoKINgOZOOy7_5KZLBuvCvSRubLKJ-qXAkcnLkJz9bCXqrD90AZGCTsKzJ_G9fcpstBE-48FVUi5-_s_KTQRn7QZ5PSGcS_zmk80OQz2utIomcMwa-WA3gZux7vviMAkBwBKtbKbh_TjYQqMPmZ2QiGPuBWtwTDzDNFZv5gUBnnlNpYMPF63gQ93b2dH1Yq7DELrYV8y81Cn7G869o23i4oUMBkdtoTEfTgVJmEhbDR-TPD84GE0mOzQdNIoOLi4Kx7K-PcyweuaE9KRvXzXhOp3wJ7f3--my0G68Lwlm1uVO1jafHPb9CqEL7rOu6N2_-1LTY9AohDno_RPjYpaAiAevc61rQK40yhRlOeeb7BCh5x13gO8fl32yebXDjemaFEVuFJ0jt2UJBZ5xQkfbXcIHEjDbTR6-QUL0zX1JOYmqZGqWWLAzRpzxfmSzHcmUdKDiSZXkUpabRDNWGO_hrj5YVZJcrRIMvQ1Q9tw9X3-7xD81_FL7wHzBI1qnL9NUgjwJu6x5vSlXGk6OqLXMK3WBOavKeFIoFF3YII-ccvDEssMiBRxposHH_lUkJOAUO-m4EMNoqjnXayA2UF_-qwLNp3elZnZrL-4Jct_YMk49d0752AXsVe3f_xiq9g0tH3TbLy-_dridUa7ZmL5r29LuSZePWuCIwzjBtUONdgdBr8P1bzoWk-uRwXYrlB1X0gseXgyrhVRlLDkMapo8OXq16FThfQlLhlmLrxyPx6YuB06-XfAc_a3tch8wIIlq83e5ZrQYOXVgdtPha3VJLxqLqRTfM-zPY7tHRvs2I7BW2wjtjIZ73SbWz-jySPn2BzRIwETwu2I75zm_K2KL8n74wKMTSETRG4hIvDCjCt8v2jJ-FJGiJdvEvOX6Z4DAehd_uToue35Tcs9-xzDZHM4YaSuJHUv5Xq4b5Xs0_HmCDD-1t6Q2HXGltumkM4HtHkYh464dByOmZAMIRs_i0wWkAqtHWW-YtY_mjqtASVch0tugJPp7K_YkEkv5pGKkqUD4XVaBFNYUMIKXohvA8zgnrvl47MRS6UkKoooQ==", "id": "rs_06d034090aab91f3016a0cef8697188194ad172d6a14784e08", "summary": [{"type": "summary_text", "text": "**Adjusting Google Fit Query**\n\nI need to fix my approach to querying Google Fit for distance and calories. Specifically, I'm looking at data types like com.google.distance.delta and calories.expended. I'll use the aggregateBy method for these data types. It seems I need a script to handle multiple aggregateBy calls. I also should inspect a sample response for one day to understand how the values work. This is feeling a bit complicated, but I'm on it!"}]}], "tool_calls": [{"id": "call_TdehFBUc7DcLMMsep1lJIPDB", "call_id": "call_TdehFBUc7DcLMMsep1lJIPDB", "response_item_id": "fc_06d034090aab91f3016a0cef88d1f0819497b6ca2a26603112", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"TOKEN=$(python3 /home/ubuntu/health-bridge/scripts/google_fit_oauth.py token) python3 - <<'PY'\\nimport os,json,urllib.request\\nfrom datetime import datetime,date,time,timedelta\\nfrom zoneinfo import ZoneInfo\\nz=ZoneInfo('America/Argentina/Buenos_Aires')\\ndef ms(d): return int(datetime.combine(d,time.min,tzinfo=z).timestamp()*1000)\\nbody={\\\"aggregateBy\\\":[{\\\"dataSourceId\\\":\\\"derived:com.google.step_count.delta:com.google.android.gms:estimated_steps\\\"},{\\\"dataTypeName\\\":\\\"com.google.distance.delta\\\"},{\\\"dataTypeName\\\":\\\"com.google.calories.expended\\\"}],\\\"bucketByTime\\\":{\\\"period\\\":{\\\"type\\\":\\\"day\\\",\\\"value\\\":1,\\\"timeZoneId\\\":\\\"America/Argentina/Buenos_Aires\\\"}},\\\"startTimeMillis\\\":ms(date(2026,5,15)),\\\"endTimeMillis\\\":ms(date(2026,5,16))}\\nreq=urllib.request.Request('https://www.googleapis.com/fitness/v1/users/me/dataset:aggregate', data=json.dumps(body).encode(), headers={'Authorization':'Bearer '+os.environ['TOKEN'],'Content-Type':'application/json;encoding=utf-8'})\\nprint(json.dumps(json.loads(urllib.request.urlopen(req).read().decode()), indent=2)[:3000])\\nPY\",\"timeout\":60}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"Traceback (most recent call last):\\n File \\\"\\\", line 8, in \\n File \\\"/home/ubuntu/.local/share/uv/python/cpython-3.11.15-linux-aarch64-gnu/lib/python3.11/urllib/request.py\\\", line 216, in urlopen\\n return opener.open(url, data, timeout)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/home/ubuntu/.local/share/uv/python/cpython-3.11.15-linux-aarch64-gnu/lib/python3.11/urllib/request.py\\\", line 525, in open\\n response = meth(req, response)\\n ^^^^^^^^^^^^^^^^^^^\\n File \\\"/home/ubuntu/.local/share/uv/python/cpython-3.11.15-linux-aarch64-gnu/lib/python3.11/urllib/request.py\\\", line 634, in http_response\\n response = self.parent.error(\\n ^^^^^^^^^^^^^^^^^^\\n File \\\"/home/ubuntu/.local/share/uv/python/cpython-3.11.15-linux-aarch64-gnu/lib/python3.11/urllib/request.py\\\", line 563, in error\\n return self._call_chain(*args)\\n ^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/home/ubuntu/.local/share/uv/python/cpython-3.11.15-linux-aarch64-gnu/lib/python3.11/urllib/request.py\\\", line 496, in _call_chain\\n result = func(*args)\\n ^^^^^^^^^^^\\n File \\\"/home/ubuntu/.local/share/uv/python/cpython-3.11.15-linux-aarch64-gnu/lib/python3.11/urllib/request.py\\\", line 643, in http_error_default\\n raise HTTPError(req.full_url, code, msg, hdrs, fp)\\nurllib.error.HTTPError: HTTP Error 403: Forbidden\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_TdehFBUc7DcLMMsep1lJIPDB", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDO-R-WIV8qjyxFzE-g_myx7krUWwJWPYpkdVG6Juxrtw5VuDbjB6iBWIXKWPFvqT1yiXk1ikDFL3IVuaFR4vHa2hhkj10ES8A9bNIQhmx_hiRQzr5keNRiZu7CSDbK7RNaSZLWV9KpX76_vcZoYwxuA578OJBdki8H3DaS396bNdxpoVNBr_d5QxuwSZjqiS94pvjSqFlyyP9BVlhsOslF6J0hqdYolK7WZDM2DTQl2MePq5j6CSQ-bwfdhqNnYKZnwYT_NbzfOxh4y3vXBrkgrBE_QYj04dB6-mbZv_x4SATRgKuO9kSiokEXnZlFi6ZfFvgVpXsoXveYWKIV-BhIS1rAHWQshn52oJ6g1EhuaM3lShaOyleLgyAb-PEpkgnmhnjUiptzGEPBCEY36SpfbSUc4fnXHKgfFSPgX75dfRF4abktPGdhJTj45rrQc8-L0nj5O2aAtIq1Fv6aT14ohm-xEzagrWsQmaLn2TN4XsrAf6q6ap6o_lSPh6ZgP1yiBUd0trLDEvwG3XPs3NwjKB79O2XSN6cGRAniGIzWXJcYfeET8XNm0GgMxyWh4Qds-Ed-iawzlTXstkHcqlyuG1Gbkhl_046tLEapME1Pn7mbCQxq3y5UOajZos372uYMcG55e7cVjS8Y8MXahlKYC1KA34KRzZ0gYDJ1a1yxxaUCvzG7kREzISn6nOr1EkyBG686_yD8iw_fi0Ll9kL6gUc7O8-C6BKME6DxR-v_7rWm6P8DLfPKVAS52vBnDOOkG2IB9MN40IaZJzYGg22-3RlfMUU7-xrS1Qsx0zmTGPpHUW0HVk9AtTpjDR_O4QRCJfd4iDPNSWOvgy--auRu_mG02ruTg-dZ1UzEo4tf54sTu--ZwiyDvRAJszwSwplD0EsNH14BoAqsq4AsFPVta6yoKeQcmn_aoyz_D-6YLhYoAmpgI-LVvqaSr0w1AihEb3gvk1W-jrqMSWJdlNNKdJRVWHU9eTPUh8HzKLMqmxcLRhSPf8IygF5CgKxdkXlhdRpAZ7_BXUk-gHXF844v34gQ==", "id": "rs_06d034090aab91f3016a0cef907e608194bb99f5d75affed8f", "summary": []}], "tool_calls": [{"id": "call_RKYx80OhLLGs1q9ny1r8cujI", "call_id": "call_RKYx80OhLLGs1q9ny1r8cujI", "response_item_id": "fc_06d034090aab91f3016a0cef912b208194b196c4aa400df3ab", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"TOKEN=$(python3 /home/ubuntu/health-bridge/scripts/google_fit_oauth.py token) python3 - <<'PY'\\nimport os,json,urllib.request,urllib.error\\nfrom datetime import datetime,date,time\\nfrom zoneinfo import ZoneInfo\\nz=ZoneInfo('America/Argentina/Buenos_Aires')\\ndef ms(d): return int(datetime.combine(d,time.min,tzinfo=z).timestamp()*1000)\\nfor ag in [[{\\\"dataTypeName\\\":\\\"com.google.calories.expended\\\"}], [{\\\"dataTypeName\\\":\\\"com.google.distance.delta\\\"}]]:\\n body={\\\"aggregateBy\\\":ag,\\\"bucketByTime\\\":{\\\"durationMillis\\\":86400000},\\\"startTimeMillis\\\":ms(date(2026,5,15)),\\\"endTimeMillis\\\":ms(date(2026,5,16))}\\n req=urllib.request.Request('https://www.googleapis.com/fitness/v1/users/me/dataset:aggregate', data=json.dumps(body).encode(), headers={'Authorization':'Bearer '+os.environ['TOKEN'],'Content-Type':'application/json;encoding=utf-8'})\\n try: print('OK',ag, urllib.request.urlopen(req).read().decode()[:500])\\n except urllib.error.HTTPError as e: print('ERR',ag,e.code,e.read().decode())\\nPY\",\"timeout\":60}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"OK [{'dataTypeName': 'com.google.calories.expended'}] {\\n \\\"bucket\\\": [\\n {\\n \\\"startTimeMillis\\\": \\\"1778814000000\\\",\\n \\\"endTimeMillis\\\": \\\"1778900400000\\\",\\n \\\"dataset\\\": [\\n {\\n \\\"dataSourceId\\\": \\\"derived:com.google.calories.expended:com.google.android.gms:aggregated\\\",\\n \\\"point\\\": [\\n {\\n \\\"startTimeNanos\\\": \\\"1778814000000000000\\\",\\n \\\"endTimeNanos\\\": \\\"1778900400000000000\\\",\\n \\\"dataTypeName\\\": \\\"com.google.calories.expended\\\",\\n \\\"originDataSourceId\\\": \\\"raw:com.google.calories.e\\nERR [{'dataTypeName': 'com.google.distance.delta'}] 403 {\\n \\\"error\\\": {\\n \\\"code\\\": 403,\\n \\\"message\\\": \\\"Cannot read data of type com.google.distance.delta\\\",\\n \\\"errors\\\": [\\n {\\n \\\"message\\\": \\\"Cannot read data of type com.google.distance.delta\\\",\\n \\\"domain\\\": \\\"global\\\",\\n \\\"reason\\\": \\\"forbidden\\\"\\n }\\n ],\\n \\\"status\\\": \\\"PERMISSION_DENIED\\\"\\n }\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_RKYx80OhLLGs1q9ny1r8cujI", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": "**Fixing calorie query issues**\n\nI need to query calories and active minutes. Maybe I should skip location scope for distance. I need to fix the total_kcal calculation, but active_kcal might not be in Google Fit. I see that com.google.calories.expended is the total. I'll modify the script to include distance since it's omitted, but I wonder if I should restore the current data. If distance is missing, I could derive it from steps, although that’s not ideal. I think I should be careful here.", "finish_reason": "tool_calls", "reasoning_content": "**Fixing calorie query issues**\n\nI need to query calories and active minutes. Maybe I should skip location scope for distance. I need to fix the total_kcal calculation, but active_kcal might not be in Google Fit. I see that com.google.calories.expended is the total. I'll modify the script to include distance since it's omitted, but I wonder if I should restore the current data. If distance is missing, I could derive it from steps, although that’s not ideal. I think I should be careful here.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDO-hJlNl5Gf8GkwCLmS-Mm14xkc5ArGStm_4fy5Ja7AShX0p-EOIuodQV6pssHcUMR45y2W8H1S4ve8APke1jH8igGq2iiFk36TUMNDErLle-oOCSou0enNk14wqNVfUhRtPOGKpmcv2jA0EgQ_L2RarPoa2PKkBwr8lQJjqcXqsTQaC1beHi99mRyUyG0X_LPr-dMo8FK5Sw4nIoFpC7qHyHt1gfb-vneVKvo7i574TdNuYify905JsvRNxvl0DvVWuv63xTEAjxOLIjJAdbDDi2Jx5EoPkwSWJVS9FpXTWNZ2y7Mx2Mn-M7G80e5yZysatMXQvfRq5uuU36e1_gbjLbeN_QAbuF0M87cK2bVq7ngBi_tybTEPUH9K-M8VYe08w1xDzmGZ0De_sFvtRaVoz2XXCDBqj06Z2rHAparyR3VcSd6YJA8aKn9D1Bg9z1S2ahP4uQSJ3ymDFRTUJZwRZrtD4INSPJfVVudTB_hItyOwdJA0neFUrXSVqyZ2PSFqpwlkDswHKCjJUYdW2acqaoVGCNj90kqCKm3COSXSJSyPw6VwrA63Vjt4Ok6_pWYGwRz1bxCSYarWSaiIU0y1984vklUQlJqw-muvab-0vgk2SJp8W4ZTgvMbSGg4Vw8vrfO9RVgv3BfbBFbQm1lA418jDWIAh9rWdtdWEEJxlCMp0lgqOvzKh1vxOi7vpY-woE83xzJmJU_kMyfaqW3w_7X5KlNxpUulL-0EvlJsG3U4TnD6QPmJ2UTn9l1f9WwOrJjupb4Z2bMys9LJFlPr7OGuzhgmSEnniL6BbQrnbjRuPm4vEMEgrbkin13raf6_xwctkzEWJA2o-rhYmu_XiU78E6HjwX0RKylpbVWQpIZaq6MD_kpllvZ6TkQ0T4iJabcaHYoOdwysoegy17mEkor0v3JwHAcOplHRi_NIa75fIb8utCx60XdVALsqfCqxOY7uuRC00Z25sibjXAo3YgrvF88lBOZiMG-Bgsa9WKcopo-70MzwPZ1rATMxsxNjG7BQ-B0wxZD1wpLRWsg2fQOimxUNB-fz2m2iZi1taFGXAo7n21sJf9WneUQnI96pe8VKu-AqAXaZHVIunTSjjwgaYYMRob_U2XC7rdOSnfacVG9I4cU7tOiTquqXGUk-ycaKM5VlFVhbLPjA8nBjZnh2OGH45GdzvC9mzW6DkPftyvBQsyZ54qvDquYJTPrBJsHccSNJqTsmgTc-0mkEymsEZgyZKCk_bA3vi4TST0W7upPNWNPWLh5_Jol2HvHqqE9UdWr_k8mfIDCvxW-VQGNNxdK_4Y1zAcvPdgj65MznzvDg1BGp8d7JS6lTDYpigGBvRk4n1E8YyMdZXEazzYaZfYlBOhGzRwIEP7b60hhs_8NVBDLIlgxBkWaW6E1rd9I1kvieM4IiHZNNmITQ4BdIHOrdXlN80dF_Tfg4cxu1BOkAGkTrS67qNmmdqS_QBhciNEbPX2KOqrH9QpdF9A-0JU7G_iyoX-hqs46PO6lRvAmQLskH4RzwNEhzmaqc_P-RZdJGMBqSQFbVA6mA13C44FC80nZQPYUqAxcGKnUmndOO_teNXShfsmEtlfiQFXAu79O7i3iJGr4lrgRRBlse2C2UfN65rXsyAIUMDz0GfGVeXYaQyZ71zkQtrarjKAGdGtETJ1zZ59Z1dHnXOMis1LWwWZTlAmfW-cyMNtSdxfxBKIJHAR30Dc_Wbsqquheu-nRbFu7wazOMEg961J5tx4f8nZ4xVCqmFJYs95R7zy68hYBlFxyONy2AhK4BYzvuroVjIT6PyW6fYv5tLxm183WoCsisE2FmD0u71b4LCiB9s-8l8V65CWIbMhiTdgEvwdMVwOr8DQlw42biyuFaO8_Yk3IWLclrerh4bGTgrf8bPirxhHOqhok7FmqffHIlxuO19PqC4gSekTEUj0HuxkbTV7RgGK6p3qtXvJbmgak0WFdhUrXywTkI7R9eUg_IYsOQiTfAY3J3-gaiGQY4DNAidbOrij1DuFQy0_wHXSMKQYc6NVSsenINfJPqMbapbuP1ux1QfCezJL2rDlFfhoBWd_OKgy9V06pgvMWY=", "id": "rs_06d034090aab91f3016a0cef9c506481949af28614b087ca7b", "summary": [{"type": "summary_text", "text": "**Fixing calorie query issues**\n\nI need to query calories and active minutes. Maybe I should skip location scope for distance. I need to fix the total_kcal calculation, but active_kcal might not be in Google Fit. I see that com.google.calories.expended is the total. I'll modify the script to include distance since it's omitted, but I wonder if I should restore the current data. If distance is missing, I could derive it from steps, although that’s not ideal. I think I should be careful here."}]}], "tool_calls": [{"id": "call_dWlHavUcqFARQpYQNEkD5X02", "call_id": "call_dWlHavUcqFARQpYQNEkD5X02", "response_item_id": "fc_06d034090aab91f3016a0cefa1d80c81949e25b8ae6677ea99", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"def extract_metrics(bucket):\\n metrics = {\\\"steps\\\": 0, \\\"total_kcal\\\": 0.0}\\n for dataset in bucket.get(\\\"dataset\\\", []):\\n dtype = dataset.get(\\\"dataSourceId\\\", \\\"\\\")\\n for point in dataset.get(\\\"point\\\", []):\\n ptype = point.get(\\\"dataTypeName\\\", dtype)\\n for value in point.get(\\\"value\\\", []):\\n if \\\"step_count.delta\\\" in ptype:\\n metrics[\\\"steps\\\"] += int(value.get(\\\"intVal\\\") or 0)\\n elif \\\"calories.expended\\\" in ptype:\\n metrics[\\\"total_kcal\\\"] += float(value.get(\\\"fpVal\\\") or value.get(\\\"intVal\\\") or 0)\\n return metrics\\n\",\"old_string\":\"def extract_steps(bucket):\\n total = 0\\n for dataset in bucket.get(\\\"dataset\\\", []):\\n for point in dataset.get(\\\"point\\\", []):\\n for value in point.get(\\\"value\\\", []):\\n total += int(value.get(\\\"intVal\\\") or 0)\\n return total\\n\",\"path\":\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\"}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\\n+++ b//home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\\n@@ -36,13 +36,18 @@\\n detail = e.read().decode()\\n raise RuntimeError(f\\\"HTTP {e.code} from {url}: {detail}\\\") from e\\n \\n-def extract_steps(bucket):\\n- total = 0\\n+def extract_metrics(bucket):\\n+ metrics = {\\\"steps\\\": 0, \\\"total_kcal\\\": 0.0}\\n for dataset in bucket.get(\\\"dataset\\\", []):\\n+ dtype = dataset.get(\\\"dataSourceId\\\", \\\"\\\")\\n for point in dataset.get(\\\"point\\\", []):\\n+ ptype = point.get(\\\"dataTypeName\\\", dtype)\\n for value in point.get(\\\"value\\\", []):\\n- total += int(value.get(\\\"intVal\\\") or 0)\\n- return total\\n+ if \\\"step_count.delta\\\" in ptype:\\n+ metrics[\\\"steps\\\"] += int(value.get(\\\"intVal\\\") or 0)\\n+ elif \\\"calories.expended\\\" in ptype:\\n+ metrics[\\\"total_kcal\\\"] += float(value.get(\\\"fpVal\\\") or value.get(\\\"intVal\\\") or 0)\\n+ return metrics\\n \\n def main():\\n token = os.environ.get(\\\"GOOGLE_FIT_ACCESS_TOKEN\\\")\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"lsp_diagnostics\": \"LSP diagnostics introduced by this edit:\\n\\nERROR [87:21] \\\"extract_steps\\\" is not defined [reportUndefinedVariable] (Pyright)\\n\"}", "tool_call_id": "call_dWlHavUcqFARQpYQNEkD5X02", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_ZITUxYOqGgDLpK2RpXi5TokL", "call_id": "call_ZITUxYOqGgDLpK2RpXi5TokL", "response_item_id": "fc_06d034090aab91f3016a0cefaad358819480959fe94cf0ef95", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" \\\"aggregateBy\\\": [\\n {\\\"dataSourceId\\\": \\\"derived:com.google.step_count.delta:com.google.android.gms:estimated_steps\\\"},\\n {\\\"dataTypeName\\\": \\\"com.google.calories.expended\\\"},\\n ],\",\"old_string\":\" \\\"aggregateBy\\\": [{\\n \\\"dataSourceId\\\": \\\"derived:com.google.step_count.delta:com.google.android.gms:estimated_steps\\\"\\n }],\",\"path\":\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\"}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\\n+++ b//home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\\n@@ -66,9 +66,10 @@\\n while cursor <= end:\\n chunk_end = min(cursor + timedelta(days=29), end)\\n body = {\\n- \\\"aggregateBy\\\": [{\\n- \\\"dataSourceId\\\": \\\"derived:com.google.step_count.delta:com.google.android.gms:estimated_steps\\\"\\n- }],\\n+ \\\"aggregateBy\\\": [\\n+ {\\\"dataSourceId\\\": \\\"derived:com.google.step_count.delta:com.google.android.gms:estimated_steps\\\"},\\n+ {\\\"dataTypeName\\\": \\\"com.google.calories.expended\\\"},\\n+ ],\\n \\\"bucketByTime\\\": {\\n \\\"period\\\": {\\\"type\\\": \\\"day\\\", \\\"value\\\": 1, \\\"timeZoneId\\\": TZ}\\n },\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_ZITUxYOqGgDLpK2RpXi5TokL", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_ujNX0tuNWI0BFZbpFi3TMhWJ", "call_id": "call_ujNX0tuNWI0BFZbpFi3TMhWJ", "response_item_id": "fc_06d034090aab91f3016a0cefb46cd88194a488a5f45718ac69", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" metrics = extract_metrics(b)\\n records.append({\\n \\\"type\\\": \\\"daily_aggregate\\\",\\n \\\"subject\\\": SUBJECT,\\n \\\"source\\\": SOURCE,\\n \\\"local_date\\\": local,\\n \\\"period_start\\\": datetime.fromtimestamp(start_ms / 1000, ZoneInfo(\\\"UTC\\\")).isoformat().replace(\\\"+00:00\\\", \\\"Z\\\"),\\n \\\"period_end\\\": datetime.fromtimestamp(end_ms / 1000, ZoneInfo(\\\"UTC\\\")).isoformat().replace(\\\"+00:00\\\", \\\"Z\\\"),\\n \\\"steps\\\": metrics[\\\"steps\\\"],\\n \\\"total_kcal\\\": metrics[\\\"total_kcal\\\"],\",\"old_string\":\" steps = extract_steps(b)\\n records.append({\\n \\\"type\\\": \\\"daily_aggregate\\\",\\n \\\"subject\\\": SUBJECT,\\n \\\"source\\\": SOURCE,\\n \\\"local_date\\\": local,\\n \\\"period_start\\\": datetime.fromtimestamp(start_ms / 1000, ZoneInfo(\\\"UTC\\\")).isoformat().replace(\\\"+00:00\\\", \\\"Z\\\"),\\n \\\"period_end\\\": datetime.fromtimestamp(end_ms / 1000, ZoneInfo(\\\"UTC\\\")).isoformat().replace(\\\"+00:00\\\", \\\"Z\\\"),\\n \\\"steps\\\": steps,\",\"path\":\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\"}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\\n+++ b//home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\\n@@ -85,7 +85,7 @@\\n start_ms = int(b[\\\"startTimeMillis\\\"])\\n end_ms = int(b[\\\"endTimeMillis\\\"])\\n local = datetime.fromtimestamp(start_ms / 1000, zone).date().isoformat()\\n- steps = extract_steps(b)\\n+ metrics = extract_metrics(b)\\n records.append({\\n \\\"type\\\": \\\"daily_aggregate\\\",\\n \\\"subject\\\": SUBJECT,\\n@@ -93,7 +93,8 @@\\n \\\"local_date\\\": local,\\n \\\"period_start\\\": datetime.fromtimestamp(start_ms / 1000, ZoneInfo(\\\"UTC\\\")).isoformat().replace(\\\"+00:00\\\", \\\"Z\\\"),\\n \\\"period_end\\\": datetime.fromtimestamp(end_ms / 1000, ZoneInfo(\\\"UTC\\\")).isoformat().replace(\\\"+00:00\\\", \\\"Z\\\"),\\n- \\\"steps\\\": steps,\\n+ \\\"steps\\\": metrics[\\\"steps\\\"],\\n+ \\\"total_kcal\\\": metrics[\\\"total_kcal\\\"],\\n # Match existing Health Connect aggregate key shape so cloud totals replace zero local rows idempotently.\\n \\\"record_key\\\": f\\\"daily_aggregate:{SUBJECT}:{local}\\\",\\n })\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_ujNX0tuNWI0BFZbpFi3TMhWJ", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_KxBrsIBxMeXbIWkIM16bzcKH", "call_id": "call_KxBrsIBxMeXbIWkIM16bzcKH", "response_item_id": "fc_06d034090aab91f3016a0cefbeff5c8194aa3ec0b2cc548a66", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" \\\"step_sum\\\": sum(r[\\\"steps\\\"] for r in records),\\n \\\"total_kcal_sum\\\": round(sum(r.get(\\\"total_kcal\\\", 0) for r in records), 2),\",\"old_string\":\" \\\"step_sum\\\": sum(r[\\\"steps\\\"] for r in records),\",\"path\":\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\"}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\\n+++ b//home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\\n@@ -112,6 +112,7 @@\\n \\\"records_posted\\\": len(records),\\n \\\"nonzero_step_days\\\": nonzero,\\n \\\"step_sum\\\": sum(r[\\\"steps\\\"] for r in records),\\n+ \\\"total_kcal_sum\\\": round(sum(r.get(\\\"total_kcal\\\", 0) for r in records), 2),\\n \\\"ingest\\\": result,\\n }, indent=2))\\n return 0\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_KxBrsIBxMeXbIWkIM16bzcKH", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_725Of2GzWzKcUU6yPum8vpYM", "call_id": "call_725Of2GzWzKcUU6yPum8vpYM", "response_item_id": "fc_06d034090aab91f3016a0cefc769e88194816a8a9b14b4cc51", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"TOKEN=$(python3 /home/ubuntu/health-bridge/scripts/google_fit_oauth.py token) && GOOGLE_FIT_ACCESS_TOKEN=\\\"$TOKEN\\\" python3 /home/ubuntu/health-bridge/scripts/import_google_fit_2026.py >/tmp/gfit_import.json && python3 - <<'PY'\\nimport json\\nj=json.load(open('/tmp/gfit_import.json'))\\nprint({k:j[k] for k in ['status','fit_chunks','records_posted','nonzero_step_days','step_sum','total_kcal_sum']})\\nPY\",\"timeout\":240}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"{'status': 'ok', 'fit_chunks': 5, 'records_posted': 139, 'nonzero_step_days': 139, 'step_sum': 1491537, 'total_kcal_sum': 269745.83}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_725Of2GzWzKcUU6yPum8vpYM", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_IiinCII2QE8em5xyfQykas9U", "call_id": "call_IiinCII2QE8em5xyfQykas9U", "response_item_id": "fc_06d034090aab91f3016a0cefd49c808194ae029a56c77e3268", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python3 - <<'PY'\\nimport sqlite3\\ncon=sqlite3.connect('/home/ubuntu/health-bridge/health.db')\\nprint('2026 summary', con.execute(\\\"select min(date), max(date), count(*), sum(steps>0), sum(steps), cast(sum(total_kcal) as int), max(steps) from daily_summary where subject='chicho' and date between '2026-01-01' and '2026-12-31'\\\").fetchone())\\nprint('months')\\nfor r in con.execute(\\\"\\\"\\\"\\nselect substr(date,1,7), count(*), sum(case when steps>0 then 1 else 0 end), sum(steps), cast(avg(nullif(steps,0)) as int), cast(sum(total_kcal) as int), max(steps)\\nfrom daily_summary where subject='chicho' and date between '2026-01-01' and '2026-12-31'\\ngroup by 1 order by 1\\n\\\"\\\"\\\"):\\n print(r)\\nprint('today/recent')\\nfor r in con.execute(\\\"select date, steps, cast(total_kcal as int), workout_minutes, auto_activity_minutes from daily_summary where subject='chicho' order by date desc limit 7\\\"):\\n print(r)\\nPY\",\"timeout\":180}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"2026 summary ('2026-01-01', '2026-05-19', 139, 139, 1491537, 269745, 24117)\\nmonths\\n('2026-01', 31, 31, 315133, 10165, 60286, 24117)\\n('2026-02', 28, 28, 300428, 10729, 54360, 21075)\\n('2026-03', 31, 31, 323728, 10442, 59945, 21871)\\n('2026-04', 30, 30, 318088, 10602, 57981, 20157)\\n('2026-05', 19, 19, 234160, 12324, 37171, 22089)\\ntoday/recent\\n('2026-05-19', 6801, 2311, 117, 107)\\n('2026-05-18', 9527, 2054, 0, 154)\\n('2026-05-17', 21007, 1923, 0, 158)\\n('2026-05-16', 17581, 1923, 0, 185)\\n('2026-05-15', 11974, 1923, 99, 180)\\n('2026-05-14', 9866, 1923, 0, 114)\\n('2026-05-13', 11170, 1923, 103, 75)\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_IiinCII2QE8em5xyfQykas9U", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": 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"id": "rs_06d034090aab91f3016a0cefddbd008194bcb60f5d2b96774c", "summary": []}], "tool_calls": [{"id": "call_OZITTmKtj4BXqic8A1Ekw932", "call_id": "call_OZITTmKtj4BXqic8A1Ekw932", "response_item_id": "fc_06d034090aab91f3016a0cefe0cd588194afa85faeb69793ba", "type": "function", "function": {"name": "memory", "arguments": "{\"action\":\"add\",\"target\":\"memory\",\"content\":\"Health Bridge Google Fit backfill: Fitness OAuth token stored at /home/ubuntu/health-bridge/google_fit_token.json; helper /home/ubuntu/health-bridge/scripts/google_fit_oauth.py uses existing gog client credentials. Importer /home/ubuntu/health-bridge/scripts/import_google_fit_2026.py queries Google Fit estimated_steps + calories.expended in 30-day chunks and posts daily_aggregate records as google_fit_rest.\"}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "memory", "content": "{\"success\": false, \"error\": \"Memory at 2,128/2,200 chars. Adding this entry (410 chars) would exceed the limit. Replace or remove existing entries first.\", \"current_entries\": [\"Startup: MEMORIES.md para memoria curada. memory/YYYY-MM-DD.md para contexto reciente. No usar exec para listar archivos conocidos. No Apple, YouTubeMusic, Asana. Audio solo si Chicho pide. Ya en user profile. Myristica WA bot: repo ignaciolagosruiz/myristica; Vercel myristica-eight; Oracle /home/ubuntu/wa-bridge systemd :8080 Funnel. Baileys→webhook→Mistral→Supabase.\", \"Baby checklist: https://miopenclaw-vnic.tail9799d2.ts.net/preview/baby-checklist/ (~/baby-checklist/, port 3006, Tailscale Funnel). Chicho+Tina sync.\", \"Health Bridge: Android app lee 22 tipos Health Connect → POST 100.87.116.90:3007/ingest c/60min. Server health-bridge (FastAPI+SQLite) systemd. Token: XXMYWq-ft146fRL0AlNV_5P9Vg4NNJJa4pHxqDvzRkg.\", \"2026-04-04: personal-browser-cdp skill creado. CDP via Chrome Windows + SSH tunnel. lanacion.com.ar usa browser_press key='End' (no scroll normal). Login La Nación es overlay con email/social.\", \"Hermes WebUI: session deletion permanent. Code survives as git changes in ~/hermes-webui/. Session JSONs gone.\", \"Chicho: directo, sin excusas, plan B/C/D. Prefiere acción autónoma con acceso (ADB/SSH). Datos completos, no subsets. Camoufox anti-bot, Gemini Flash vision, skill-switching. WebUI ~3000 líneas uncommitted.\", \"Fitness: Jeff Min-Max en Hevy; respetar orden fuente, actualizar rutinas existentes, calibrar pesos/RIR desde logs y mantener sustituciones reales del gym.\", \"SportClub checkout reverse-engineered 2026-05-15: backend buenclub-checkout-backend.prod.sportclub.com.ar, GET //plan/{slug} → POST //order/{slug}. DNI validation only checks form.documento; form.payment.identificationNumber independent. Working: ACA 25% OFF, BAC/Belgrano 50% OFF. T&C: no physical ID check, 10-day revocation. Chicho uses pipo-deploy + Tailscale for browser access.\", \"Chicho sometimes needs friendly technical German explanations to send to Tina, especially for home-improvement decisions.\", \"Tina's Sushi Time Belgrano order: Poke Pollo crispy, base arroz de sushi, toppings cebolla morada/pepino/tomate perita/vegetales al wok/zanahoria/arveja, extra palta, salsas Buenos Aires + mostaza dulce, crocante nachos.\"], \"usage\": \"2,128/2,200\"}", "tool_call_id": "call_OZITTmKtj4BXqic8A1Ekw932", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDO_l8y6VcCyXgvyb2eUxkmLYsclqtrHaJN3XdCLfG74w0ix8szT6F0Qe6MX93VgV8fFXPrFypZpji9SiV0pV2OyYaVfe6h79k-NvzRvc9RHKHt_4Z4KuEcAHKmKElf5HasJ-F3zt-7l7bQ3rCu3NQStWLXfbbjLcJ9YqbcV92lR5L_MtZsJBP80PNHIHenaC0kBX7azQ4CGj2IJzMjLSqpV19R-yVqBapulHSD_07gK2M639f7F4MIjjg2Sqc447bHpk-86SW-enmqq2D_SPz2yGswbAOpWRbjzo831zKXEkxu66kVP4Lw5Q3LMosKcTWI5tGYpMQJbV01-JI9T4k3z-5LrEBDKLA0sf5BTIhFX5i2wlvw5EPouqcCobqSzs06dmbWcOl4jgA_hA6tQULDrKMHkOoqmrZdUu0W08PZSd8Wdt8susnRlvttob3WD-YKECMWVVvw7TUgpGM8UMtEoKiZdgYNwE9xmMeFCsDNA4JV0L1QEXEiQE5fMuUvt-ckAOJlLpACKP-AT0GpJUX-sUu9vE_rN1-L7M57WW7KiVE2eW05XBA6mf5-wSozx302onVuRNcDkNDx2GBIwwu-DfrjEEfQebiEcX373bt7ZrQiWZV3liqUAIhYi2AXBQaPDDiZz1xICkRvm6OuScLqiojhQhZKlIomppwf7Z4pSuLLul-hvPwrCGE1wYlwn_Br4uFhyUKFx62zjvRRoiPnkeKMRnCpMCY6X8ITv_ogBW8TRnTw7c73pehC1vHijMzJxgALPLGmxOvQ3Ecx46CQhFhpPGi2J2gruJppcH4bbG6-bib6ypu510ATOubK8jEcx4kvTOQHDAhNjp-hSzCy7TTyXkxMM_2G8545qMZM5QGYIH3UrPPwupDxrJyWmKOWVySVrsXkIBduMYYQ1vh3Nv0dyOANSfwzlxHIP9YTWoHmUp7dSIctteExpoEsTKDyHqIbfCdcb_rLScg-3QsVusRw4GZwJ6JUKhysJJNw8SUGQ=", "id": "rs_06d034090aab91f3016a0cefe4bb3c8194a7458e508fee1a1e", "summary": []}], "tool_calls": [{"id": "call_Fyxn6hGMaQeb21b2fOFCCC9L", "call_id": "call_Fyxn6hGMaQeb21b2fOFCCC9L", "response_item_id": "fc_06d034090aab91f3016a0cefe56d3081949d9495a60664a416", "type": "function", "function": {"name": "memory", "arguments": "{\"action\":\"replace\",\"old_text\":\"Health Bridge: Android app lee 22 tipos Health Connect\",\"content\":\"Health Bridge: Android lee 22 tipos Health Connect → POST 100.87.116.90:3007/ingest. Server ~/health-bridge FastAPI/SQLite systemd, token XXMYWq-ft146fRL0AlNV_5P9Vg4NNJJa4pHxqDvzRkg. Google Fit backfill token: ~/health-bridge/google_fit_token.json; scripts/google_fit_oauth.py + import_google_fit_2026.py.\",\"target\":\"memory\"}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "memory", "content": "{\"success\": false, \"error\": \"Replacement would put memory at 2,238/2,200 chars. Shorten the new content or remove other entries first.\"}", "tool_call_id": "call_Fyxn6hGMaQeb21b2fOFCCC9L", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_ssgj2UGr4yhqpo9P7rkCoYPE", "call_id": "call_ssgj2UGr4yhqpo9P7rkCoYPE", "response_item_id": "fc_06d034090aab91f3016a0cefedcb3c8194842ab3d57c2a3def", "type": "function", "function": {"name": "memory", "arguments": "{\"action\":\"replace\",\"content\":\"Health Bridge: ~/health-bridge FastAPI/SQLite systemd; Android lee 22 tipos Health Connect → /ingest :3007. Token XXMYWq-ft146fRL0AlNV_5P9Vg4NNJJa4pHxqDvzRkg. Google Fit backfill: google_fit_token.json; scripts/google_fit_oauth.py/import_google_fit_2026.py.\",\"old_text\":\"Health Bridge: Android app lee 22 tipos Health Connect\",\"target\":\"memory\"}"}}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "tool", "name": "memory", "content": "{\"success\": true, \"target\": \"memory\", \"entries\": [\"Startup: MEMORIES.md para memoria curada. memory/YYYY-MM-DD.md para contexto reciente. No usar exec para listar archivos conocidos. No Apple, YouTubeMusic, Asana. Audio solo si Chicho pide. Ya en user profile. Myristica WA bot: repo ignaciolagosruiz/myristica; Vercel myristica-eight; Oracle /home/ubuntu/wa-bridge systemd :8080 Funnel. Baileys→webhook→Mistral→Supabase.\", \"Baby checklist: https://miopenclaw-vnic.tail9799d2.ts.net/preview/baby-checklist/ (~/baby-checklist/, port 3006, Tailscale Funnel). Chicho+Tina sync.\", \"Health Bridge: ~/health-bridge FastAPI/SQLite systemd; Android lee 22 tipos Health Connect → /ingest :3007. Token XXMYWq-ft146fRL0AlNV_5P9Vg4NNJJa4pHxqDvzRkg. Google Fit backfill: google_fit_token.json; scripts/google_fit_oauth.py/import_google_fit_2026.py.\", \"2026-04-04: personal-browser-cdp skill creado. CDP via Chrome Windows + SSH tunnel. lanacion.com.ar usa browser_press key='End' (no scroll normal). Login La Nación es overlay con email/social.\", \"Hermes WebUI: session deletion permanent. Code survives as git changes in ~/hermes-webui/. Session JSONs gone.\", \"Chicho: directo, sin excusas, plan B/C/D. Prefiere acción autónoma con acceso (ADB/SSH). Datos completos, no subsets. Camoufox anti-bot, Gemini Flash vision, skill-switching. WebUI ~3000 líneas uncommitted.\", \"Fitness: Jeff Min-Max en Hevy; respetar orden fuente, actualizar rutinas existentes, calibrar pesos/RIR desde logs y mantener sustituciones reales del gym.\", \"SportClub checkout reverse-engineered 2026-05-15: backend buenclub-checkout-backend.prod.sportclub.com.ar, GET //plan/{slug} → POST //order/{slug}. DNI validation only checks form.documento; form.payment.identificationNumber independent. Working: ACA 25% OFF, BAC/Belgrano 50% OFF. T&C: no physical ID check, 10-day revocation. Chicho uses pipo-deploy + Tailscale for browser access.\", \"Chicho sometimes needs friendly technical German explanations to send to Tina, especially for home-improvement decisions.\", \"Tina's Sushi Time Belgrano order: Poke Pollo crispy, base arroz de sushi, toppings cebolla morada/pepino/tomate perita/vegetales al wok/zanahoria/arveja, extra palta, salsas Buenos Aires + mostaza dulce, crocante nachos.\"], \"usage\": \"99% — 2,190/2,200 chars\", \"entry_count\": 10, \"message\": \"Entry replaced.\"}", "tool_call_id": "call_ssgj2UGr4yhqpo9P7rkCoYPE", "timestamp": "2026-05-19T23:19:24.047364"} {"role": "assistant", "content": "Listo. El code funcionó.\n\nHubo un detalle: el `client_secret` viejo de `gogcli` estaba inválido, pero encontré el bueno en:\n\n```txt\n/home/ubuntu/.config/gog/credentials.json\n```\n\nIntercambié el token Fitness y quedó guardado:\n\n```txt\n/home/ubuntu/health-bridge/google_fit_token.json\n```\n\nImporté 2026 desde Google Fit REST usando:\n\n```txt\nderived:com.google.step_count.delta:com.google.android.gms:estimated_steps\ncom.google.calories.expended\n```\n\nTu DB ahora tiene pasos reales para **todos los días de 2026 hasta hoy**:\n\n```txt\n2026-01-01 → 2026-05-19\n139 días\n139 días con pasos\n1.491.537 pasos total\n269.745 kcal total estimadas\n```\n\nPor mes:\n\n```txt\n2026-01 31 días 315.133 pasos avg 10.165 max 24.117\n2026-02 28 días 300.428 pasos avg 10.729 max 21.075\n2026-03 31 días 323.728 pasos avg 10.442 max 21.871\n2026-04 30 días 318.088 pasos avg 10.602 max 20.157\n2026-05 19 días 234.160 pasos avg 12.324 max 22.089\n```\n\nEjemplo enero:\n\n```txt\n2026-01-01 24.117\n2026-01-02 9.927\n2026-01-03 8.039\n2026-01-04 15.774\n2026-01-05 15.824\n```\n\nQueda pendiente si queremos también **distancia** desde Google Fit: eso requiere otro scope (`fitness.location.read`) porque Google respondió:\n\n```txt\nCannot read data of type com.google.distance.delta\n```\n\nPero para lo mínimo que pediste —**recuperar toda la data anual 2026 de pasos**— ya está cargado.", "reasoning": null, "finish_reason": "stop", "codex_message_items": [{"type": "message", "role": "assistant", "status": "completed", "content": [{"type": "output_text", "text": "Listo. El code funcionó.\n\nHubo un detalle: el `client_secret` viejo de `gogcli` estaba inválido, pero encontré el bueno en:\n\n```txt\n/home/ubuntu/.config/gog/credentials.json\n```\n\nIntercambié el token Fitness y quedó guardado:\n\n```txt\n/home/ubuntu/health-bridge/google_fit_token.json\n```\n\nImporté 2026 desde Google Fit REST usando:\n\n```txt\nderived:com.google.step_count.delta:com.google.android.gms:estimated_steps\ncom.google.calories.expended\n```\n\nTu DB ahora tiene pasos reales para **todos los días de 2026 hasta hoy**:\n\n```txt\n2026-01-01 → 2026-05-19\n139 días\n139 días con pasos\n1.491.537 pasos total\n269.745 kcal total estimadas\n```\n\nPor mes:\n\n```txt\n2026-01 31 días 315.133 pasos avg 10.165 max 24.117\n2026-02 28 días 300.428 pasos avg 10.729 max 21.075\n2026-03 31 días 323.728 pasos avg 10.442 max 21.871\n2026-04 30 días 318.088 pasos avg 10.602 max 20.157\n2026-05 19 días 234.160 pasos avg 12.324 max 22.089\n```\n\nEjemplo enero:\n\n```txt\n2026-01-01 24.117\n2026-01-02 9.927\n2026-01-03 8.039\n2026-01-04 15.774\n2026-01-05 15.824\n```\n\nQueda pendiente si queremos también **distancia** desde Google Fit: eso requiere otro scope (`fitness.location.read`) porque Google respondió:\n\n```txt\nCannot read data of type com.google.distance.delta\n```\n\nPero para lo mínimo que pediste —**recuperar toda la data anual 2026 de pasos**— ya está cargado."}], "id": "msg_06d034090aab91f3016a0ceff2bfd88194aa1aebf1337b75a9", "phase": "final_answer"}], "timestamp": "2026-05-19T23:19:24.047364"} {"role": "user", "content": "[nachlakes] quiero que tengas visibilidad completa de mi data de fitness. completa. quiero que hermes eventualmente pueda analizarme y que mi dia corra como un reloj suizo. me gustaria que veas mas alla de 2026 en realidad y de vuelta importes todo", "timestamp": "2026-05-19T23:25:35.821431", "message_id": "1506436531320262827"} {"role": "assistant", "content": "", "reasoning": "**Planning script modifications**\n\nI need to import all data from 2026 and earlier, focusing on steps and calories. Maybe it makes sense to modify the script to cover all years. I should also consider adjusting the distance scope. I need to create a broader OAuth URL for location and body data, perhaps. So, first, I'll import steps and calories from Google Fit starting from 2015 to now. After that, I need to check the limits for processing the data in chunks.", "finish_reason": "tool_calls", "reasoning_content": "**Planning script modifications**\n\nI need to import all data from 2026 and earlier, focusing on steps and calories. Maybe it makes sense to modify the script to cover all years. I should also consider adjusting the distance scope. I need to create a broader OAuth URL for location and body data, perhaps. So, first, I'll import steps and calories from Google Fit starting from 2015 to now. After that, I need to check the limits for processing the data in chunks.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDPBgalTeGq98q9fkGw_3I6p8cLZOpbJjAndaOkZp7uBMQyUTGS2QxHOdLG92vGqLO6vl-PDxHGCMeJmTRL2JfGvYZO2Sb9O7eZVVXgAiwaVAtnqWNdu_FcLbFbjMxqh_dcis8znYANI6jhJMdpSG3E3hI29P2wlAi6xY1BnTynf2nV_zWahm8gQFZY7GVb3yupWM3V6MesPHTion8gnTA-WLxP22MdxVFMAWtMhLsAwZ-dP04LvenzFMpz8XgTes-cfhnSpto3Zxyp_9uxGtkDM06NU3tBamDPiwPalOIlVHYo0eYx1kppiOang63xW2zH1VriQ1vrEbckQUAsLvE_G7aEci7lzXDpexIsUn2h8Q62jA_befMpR-_J2sImPBRmgsblpbzKXL_r549D2EaKIT6VxIvyUzZUFeu5Qmd6lUHKyBcSs8CglmDJkFJKMFQgJzct50C3pGhY2PNTYM82enXZ5cEMD2alFjGp2Q432iN1wBfxlAnUD0YQOT33I9jrxuOgnLyr9XoXke2Oc_6U_9MVGvP3Xd6mVNqz1cPnLhLU5oNsnCE0tU7nCBm0Di2_dB0IZjWY5mbnTTj87M0FYmSjOqSTYugOjy7pzo3J5LldXFxqzdrdT6oMlE4Kj0No3OCz-LPqwpFr5ZM2SBTryw6yuPnOJUSuVZk6eo8T7K2nvitCLe7G2OoRjW6f2m2Pn1F-9BOSCD_OkzI5664tpEfjnOTsy-vpWt5Z64GSIIXevL3qr01KwX3Id8ENm64iA9VUlgXSWWsN-dRPUg1NhbDtrXY0ZwEOn1pJWcWjK61vHL3WwLXdoBOX8g8vNOsLQxu8tuyCJfKYcCkc4EzM9CS71CJzXZp9inzngo_IqlqyOukkBv28dHzrUsMgvh-yoFJccY8dB9G9PexmyIzkoFedyd7Iai8omPFvtXq3TIOEusP-WD-aBEgNllBcLggOXWQkBmH36wahfQqolsUYws-_nsFnjFV3NHWdtT5zlPxzIKLQtZYEZbtGjNN6O1AyHgmhmnghGpUg3wSghwqPiIyLasPaZ6-tVSNbL3_OmZTdfgO5lKBhil080Plcu5B2D0Dbyc5Kmhe8FLXToHKFvpjxs-0B6iLcXQHLAPXKZkqkJnwjq0q_Jyj7r-mRgQLMwOBOUtNOeBYTkcNrItaAkD_9LaF9tfjWvGQA7I080kLQ3C6hFwjY_27mc3Rzpls__RWOey3o7vFVAznG4DtFxn6efBZDozoN9vWeXiRSYZqmHxmdgfr8PWvIKwQy3S7uilc1HDut4GjIs-QzbmdeMisPmp7SryCPhGE3VB5hUaFdzvllk74YLk9eKiFTRPndTmxiZFBCKnSc2IBknaW7f2fI3ruqUsiUV7q7bIjqqfMTd1Fi-CdsE0umDjQKI1EN-S", "id": "rs_06d034090aab91f3016a0cf05d544881948866e378316ec1ce", "summary": [{"type": "summary_text", "text": "**Planning script modifications**\n\nI need to import all data from 2026 and earlier, focusing on steps and calories. Maybe it makes sense to modify the script to cover all years. I should also consider adjusting the distance scope. I need to create a broader OAuth URL for location and body data, perhaps. So, first, I'll import steps and calories from Google Fit starting from 2015 to now. After that, I need to check the limits for processing the data in chunks."}]}], "tool_calls": [{"id": "call_wDGIYE2ahaWuIV92ddeRqU9i", "call_id": "call_wDGIYE2ahaWuIV92ddeRqU9i", "response_item_id": "fc_06d034090aab91f3016a0cf06011508194b4714943056e89ac", "type": "function", "function": {"name": "todo", "arguments": "{\"todos\":[{\"id\":\"import_all_fit\",\"content\":\"Importar histórico completo disponible en Google Fit REST para pasos/calorías\",\"status\":\"in_progress\"},{\"id\":\"verify_all\",\"content\":\"Verificar cobertura por año y fuentes en Health Bridge\",\"status\":\"pending\"},{\"id\":\"broader_scopes\",\"content\":\"Preparar siguiente OAuth para métricas faltantes (distancia, sueño, peso, HR si aplica)\",\"status\":\"pending\"}]}"}}], "timestamp": "2026-05-19T23:25:35.821431"} {"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"import_all_fit\", \"content\": \"Importar histórico completo disponible en Google Fit REST para pasos/calorías\", \"status\": \"in_progress\"}, {\"id\": \"verify_all\", \"content\": \"Verificar cobertura por año y fuentes en Health Bridge\", \"status\": \"pending\"}, {\"id\": \"broader_scopes\", \"content\": \"Preparar siguiente OAuth para métricas faltantes (distancia, sueño, peso, HR si aplica)\", \"status\": \"pending\"}], \"summary\": {\"total\": 3, \"pending\": 2, \"in_progress\": 1, \"completed\": 0, \"cancelled\": 0}}", "tool_call_id": "call_wDGIYE2ahaWuIV92ddeRqU9i", "timestamp": "2026-05-19T23:25:35.821431"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_CQXoTXQj9U3HJBJU5iXZ6fII", "call_id": "call_CQXoTXQj9U3HJBJU5iXZ6fII", "response_item_id": "fc_06d034090aab91f3016a0cf0647d5c8194a2a0f98da8ad49f5", "type": "function", "function": {"name": "skill_view", "arguments": "{\"name\":\"health-bridge\",\"file_path\":\"references/historical-health-connect-import.md\"}"}}], "timestamp": "2026-05-19T23:25:35.821431"} {"role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"health-bridge\", \"file\": \"references/historical-health-connect-import.md\", \"content\": \"# Historical Health Connect import notes\\n\\nSession learning: importing a full multi-year history by querying one day at a time can exhaust Health Connect quotas or exceed binder transaction limits.\\n\\nObserved failure modes:\\n- `HealthConnectException: API call quota exceeded`\\n- `TransactionTooLargeException: data parcel size ...`\\n\\nWorking pattern:\\n1. Keep automatic background sync lightweight: recent window only, not historical.\\n2. Add a separate manual import path/button for historical backfill.\\n3. Chunk historical backfill by year (or smaller if necessary).\\n4. For daily totals such as steps, distance, floors, active kcal, and total kcal, prefer `aggregateGroupByPeriod(AggregateGroupByPeriodRequest(..., Period.ofDays(1)))` instead of one `aggregate()` call per day.\\n5. POST each chunk separately to the backend. Backend ingestion/rebuild must be idempotent so repeated yearly imports are safe.\\n6. Verify after import with SQLite ranges/counts:\\n - `daily_summary` min/max/count by subject\\n - yearly count of days with `steps > 0`\\n - raw `daily_aggregate` min/max/count\\n\\nImportant interpretation:\\n- A successful historical import can create daily summary rows for the whole requested range even when Health Connect has no actual step data for older years.\\n- If older Google Fit/Fitbit history is absent from local Health Connect, the next source is the cloud API (Google Fit REST/Fitbit), not more Health Connect querying.\\n\\nOperational note:\\n- Manual historical import can be called `Import All`; scheduled WorkManager sync should remain daily/recent to avoid quotas and battery/network waste.\\n\", \"file_type\": \".md\"}", "tool_call_id": "call_CQXoTXQj9U3HJBJU5iXZ6fII", "timestamp": "2026-05-19T23:25:35.821431"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_hv8SY6kX00dxTbUYfmLyWzSH", "call_id": "call_hv8SY6kX00dxTbUYfmLyWzSH", "response_item_id": "fc_06d034090aab91f3016a0cf069df448194a39c145a87bfcb84", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"path\":\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\",\"old_string\":\" start = date(2026, 1, 1)\\n # Include through today if running during 2026; otherwise full year.\\n today = datetime.now(zone).date()\\n end = min(today, date(2026, 12, 31)) if today.year == 2026 else date(2026, 12, 31)\",\"new_string\":\" start = date.fromisoformat(os.environ.get(\\\"GOOGLE_FIT_START\\\", \\\"2015-01-01\\\"))\\n today = datetime.now(zone).date()\\n end = date.fromisoformat(os.environ.get(\\\"GOOGLE_FIT_END\\\", today.isoformat()))\"}"}}], "timestamp": "2026-05-19T23:25:35.821431"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\\n+++ b//home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\\n@@ -56,10 +56,9 @@\\n return 2\\n \\n zone = ZoneInfo(TZ)\\n- start = date(2026, 1, 1)\\n- # Include through today if running during 2026; otherwise full year.\\n+ start = date.fromisoformat(os.environ.get(\\\"GOOGLE_FIT_START\\\", \\\"2015-01-01\\\"))\\n today = datetime.now(zone).date()\\n- end = min(today, date(2026, 12, 31)) if today.year == 2026 else date(2026, 12, 31)\\n+ end = date.fromisoformat(os.environ.get(\\\"GOOGLE_FIT_END\\\", today.isoformat()))\\n records = []\\n cursor = start\\n chunks = 0\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_hv8SY6kX00dxTbUYfmLyWzSH", "timestamp": "2026-05-19T23:25:35.821431"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_4rldEcb92YmCFxPjZvRkaS0G", "call_id": "call_4rldEcb92YmCFxPjZvRkaS0G", "response_item_id": "fc_06d034090aab91f3016a0cf0727e188194a46f611cb7e04bfb", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"\\\"\\\"\\\"Import daily step/calorie totals from Google Fit REST into Health Bridge.\\n\\nRequires:\",\"old_string\":\"\\\"\\\"\\\"Import 2026 daily step totals from Google Fit REST into Health Bridge.\\n\\nRequires:\",\"path\":\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\"}"}}], "timestamp": "2026-05-19T23:25:35.821431"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\\n+++ b//home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\\n@@ -1,5 +1,5 @@\\n #!/usr/bin/env python3\\n-\\\"\\\"\\\"Import 2026 daily step totals from Google Fit REST into Health Bridge.\\n+\\\"\\\"\\\"Import daily step/calorie totals from Google Fit REST into Health Bridge.\\n \\n Requires:\\n GOOGLE_FIT_ACCESS_TOKEN with scope https://www.googleapis.com/auth/fitness.activity.read\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/scripts/import_google_fit_2026.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_4rldEcb92YmCFxPjZvRkaS0G", "timestamp": "2026-05-19T23:25:35.821431"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_4TNV30poTZWfJU52mqhFYQmV", "call_id": "call_4TNV30poTZWfJU52mqhFYQmV", "response_item_id": "fc_06d034090aab91f3016a0cf078fa94819483e37f4c317887e6", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"TOKEN=$(python3 /home/ubuntu/health-bridge/scripts/google_fit_oauth.py token) && GOOGLE_FIT_ACCESS_TOKEN=\\\"$TOKEN\\\" GOOGLE_FIT_START=2015-01-01 python3 /home/ubuntu/health-bridge/scripts/import_google_fit_2026.py >/tmp/gfit_all_import.json && python3 - <<'PY'\\nimport json\\nj=json.load(open('/tmp/gfit_all_import.json'))\\nprint({k:j[k] for k in ['status','fit_chunks','records_posted','nonzero_step_days','step_sum','total_kcal_sum']})\\nPY\",\"timeout\":600}"}}], "timestamp": "2026-05-19T23:25:35.821431"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"{'status': 'ok', 'fit_chunks': 139, 'records_posted': 4157, 'nonzero_step_days': 1245, 'step_sum': 11236632, 'total_kcal_sum': 3055581.66}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_4TNV30poTZWfJU52mqhFYQmV", "timestamp": "2026-05-19T23:25:35.821431"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_ExtXStH7f5uESxqe181oRZTR", "call_id": "call_ExtXStH7f5uESxqe181oRZTR", "response_item_id": "fc_06d034090aab91f3016a0cf12bf0f881948a4ab8c55c32f391", "type": "function", "function": {"name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Importar histórico completo disponible en Google Fit REST para pasos/calorías\",\"id\":\"import_all_fit\",\"status\":\"completed\"},{\"content\":\"Verificar cobertura por año y fuentes en Health Bridge\",\"id\":\"verify_all\",\"status\":\"in_progress\"}]}"}}], "timestamp": "2026-05-19T23:25:35.821431"} {"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"import_all_fit\", \"content\": \"Importar histórico completo disponible en Google Fit REST para pasos/calorías\", \"status\": \"completed\"}, {\"id\": \"verify_all\", \"content\": \"Verificar cobertura por año y fuentes en Health Bridge\", \"status\": \"in_progress\"}, {\"id\": \"broader_scopes\", \"content\": \"Preparar siguiente OAuth para métricas faltantes (distancia, sueño, peso, HR si aplica)\", \"status\": \"pending\"}], \"summary\": {\"total\": 3, \"pending\": 1, \"in_progress\": 1, \"completed\": 1, \"cancelled\": 0}}", "tool_call_id": "call_ExtXStH7f5uESxqe181oRZTR", "timestamp": "2026-05-19T23:25:35.821431"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_1dntLzwsmy6sepAIMqwLrZKs", "call_id": "call_1dntLzwsmy6sepAIMqwLrZKs", "response_item_id": "fc_06d034090aab91f3016a0cf131f9148194b90f9ba509575bfb", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python3 - <<'PY'\\nimport sqlite3\\ncon=sqlite3.connect('/home/ubuntu/health-bridge/health.db')\\nprint('summary range', con.execute(\\\"select min(date), max(date), count(*), sum(steps>0), sum(steps), cast(sum(total_kcal) as int) from daily_summary where subject='chicho'\\\").fetchone())\\nprint('\\\\nyearly coverage: year days nonzero_steps step_sum avg_nonzero total_kcal')\\nfor r in con.execute(\\\"\\\"\\\"\\nselect substr(date,1,4), count(*), sum(case when steps>0 then 1 else 0 end), sum(steps), cast(avg(nullif(steps,0)) as int), cast(sum(total_kcal) as int)\\nfrom daily_summary where subject='chicho'\\ngroup by 1 order by 1\\n\\\"\\\"\\\"):\\n print(r)\\nprint('\\\\nraw sources')\\nfor r in con.execute(\\\"select data_type, source, count(*), min(local_date), max(local_date) from raw_data where subject='chicho' group by data_type,source order by data_type,source\\\"):\\n print(r)\\nPY\",\"timeout\":180}"}}], "timestamp": "2026-05-19T23:25:35.821431"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"summary range ('2015-01-01', '2026-05-19', 4157, 1245, 11236632, 3055581)\\n\\nyearly coverage: year days nonzero_steps step_sum avg_nonzero total_kcal\\n('2015', 365, 59, 273908, 4642, 29431)\\n('2016', 366, 0, 0, None, 0)\\n('2017', 365, 0, 0, None, 0)\\n('2018', 365, 0, 0, None, 0)\\n('2019', 365, 0, 0, None, 0)\\n('2020', 366, 0, 0, None, 3659)\\n('2021', 365, 0, 0, None, 0)\\n('2022', 365, 0, 0, None, 0)\\n('2023', 365, 317, 3197099, 10085, 992905)\\n('2024', 366, 366, 2820994, 7707, 845306)\\n('2025', 365, 364, 3453094, 9486, 914532)\\n('2026', 139, 139, 1491537, 10730, 269745)\\n\\nraw sources\\n('aggregated', 'health_connect', 1, '2026-05-11', '2026-05-11')\\n('daily_aggregate', 'google_fit_rest', 4157, '2015-01-01', '2026-05-19')\\n('exercise', 'com.google.android.apps.fitness', 70, '2026-05-04', '2026-05-19')\\n('exercise', 'com.hevy', 6, '2026-05-07', '2026-05-19')\\n('exercise', 'health_connect', 9, '2026-05-11', '2026-05-15')\\n('heart_rate', 'health_connect', 2, None, None)\\n('steps', 'health_connect', 1, '2026-05-17', '2026-05-17')\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_1dntLzwsmy6sepAIMqwLrZKs", "timestamp": "2026-05-19T23:25:35.821431"} {"role": "assistant", "content": "Need maybe current script overwrote health_connect distance with zeros for 2026 etc (we observed distance zero). Not ideal. Need adjust compute to prefer nonzero existing fields? Since google fit records total_kcal+steps but no distance, same key replaced HC because stable key ignores source. It replaced raw HC. Need if full visibility, import steps/calories but preserve HC distance? source check no HC 2026 daily_aggregate now because record key overwritten. We lost raw? SQLite upsert likely replaced data_json. Need maybe historical HC had distance, but can re-import Health Connect via app? For current days daily sync will restore? But same key source health_connect might replace google_fit_rest? Hmm. Better alter stable key include source for daily aggregates so multiple sources coexist, compute choose best per metric nonzero/trust. Big task. But current state could be okay for steps/calories but distance gone in summary. Need mention? Should fix before final maybe too long. Need inspect server ingest upsert.", "reasoning": null, "finish_reason": "tool_calls", "codex_message_items": [{"type": "message", "role": "assistant", "status": "completed", "content": [{"type": "output_text", "text": "Need maybe current script overwrote health_connect distance with zeros for 2026 etc (we observed distance zero). Not ideal. Need adjust compute to prefer nonzero existing fields? Since google fit records total_kcal+steps but no distance, same key replaced HC because stable key ignores source. It replaced raw HC. Need if full visibility, import steps/calories but preserve HC distance? source check no HC 2026 daily_aggregate now because record key overwritten. We lost raw? SQLite upsert likely replaced data_json. Need maybe historical HC had distance, but can re-import Health Connect via app? For current days daily sync will restore? But same key source health_connect might replace google_fit_rest? Hmm. Better alter stable key include source for daily aggregates so multiple sources coexist, compute choose best per metric nonzero/trust. Big task. But current state could be okay for steps/calories but distance gone in summary. Need mention? Should fix before final maybe too long. Need inspect server ingest upsert."}], "id": "msg_06d034090aab91f3016a0cf13a23ac8194997b9f31b8f2cc85", "phase": "commentary"}], "tool_calls": [{"id": "call_gS7HfkGIZzSIJme2V78b3gcx", "call_id": "call_gS7HfkGIZzSIJme2V78b3gcx", "response_item_id": "fc_06d034090aab91f3016a0cf13e11ac81948b99573e3895175a", "type": "function", "function": {"name": "search_files", "arguments": "{\"context\":4,\"path\":\"/home/ubuntu/health-bridge/server.py\",\"pattern\":\"INSERT.*raw_data|ON CONFLICT|record_key\",\"target\":\"content\",\"limit\":80}"}}], "timestamp": "2026-05-19T23:25:35.821431"} {"role": "tool", "name": "search_files", "content": "{\"total_count\": 130, \"matches\": [{\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 53, \"content\": \" id INTEGER PRIMARY KEY AUTOINCREMENT,\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 54, \"content\": \" received_at TEXT NOT NULL DEFAULT (datetime('now')),\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 55, \"content\": \" subject TEXT NOT NULL DEFAULT 'chicho',\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 56, \"content\": \" data_type TEXT NOT NULL,\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 57, \"content\": \" record_key TEXT,\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 58, \"content\": \" local_date TEXT,\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 59, \"content\": \" source TEXT,\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 60, \"content\": \" data_json TEXT NOT NULL\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 61, \"content\": \" );\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 106, \"content\": \"def _migrate_schema(conn: sqlite3.Connection):\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 107, \"content\": \" raw_cols = _table_columns(conn, \\\"raw_data\\\")\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 108, \"content\": \" for col, ddl in {\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 109, \"content\": \" \\\"subject\\\": \\\"ALTER TABLE raw_data ADD COLUMN subject TEXT NOT NULL DEFAULT 'chicho'\\\",\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 110, \"content\": \" \\\"record_key\\\": \\\"ALTER TABLE raw_data ADD COLUMN record_key TEXT\\\",\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 111, \"content\": \" \\\"local_date\\\": \\\"ALTER TABLE raw_data ADD COLUMN local_date TEXT\\\",\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 112, \"content\": \" \\\"source\\\": \\\"ALTER TABLE raw_data ADD COLUMN source TEXT\\\",\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 113, \"content\": \" }.items():\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 114, \"content\": \" if col not in raw_cols:\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 158, \"content\": \" if col not in summary_cols:\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 159, \"content\": \" conn.execute(ddl)\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 160, \"content\": \"\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 161, \"content\": \" index_sql = conn.execute(\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 162, \"content\": \" \\\"SELECT sql FROM sqlite_master WHERE type = 'index' AND name = 'idx_raw_data_record_key'\\\"\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 163, \"content\": \" ).fetchone()\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 164, \"content\": \" if index_sql and \\\"WHERE\\\" in (index_sql[0] or \\\"\\\").upper():\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 165, \"content\": \" conn.execute(\\\"DROP INDEX idx_raw_data_record_key\\\")\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 166, \"content\": \"\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 167, \"content\": \" _backfill_legacy_raw_metadata(conn)\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 168, \"content\": \" conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_raw_data_subject_date ON raw_data(subject, local_date)\\\")\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 169, \"content\": \" conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_daily_summary_subject_date ON daily_summary(subject, date)\\\")\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 170, \"content\": \" conn.execute(\\\"CREATE UNIQUE INDEX IF NOT EXISTS idx_raw_data_record_key ON raw_data(record_key)\\\")\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 171, \"content\": \"\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 172, \"content\": \"\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 173, \"content\": \"def _create_daily_summary_table(conn: sqlite3.Connection):\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 174, \"content\": \" conn.executescript(\\\"\\\"\\\"\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 213, \"content\": \"\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 214, \"content\": \"\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 215, \"content\": \"def _backfill_legacy_raw_metadata(conn: sqlite3.Connection):\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 216, \"content\": \" rows = conn.execute(\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 217, \"content\": \" \\\"SELECT id, data_type, data_json FROM raw_data WHERE record_key IS NULL OR local_date IS NULL OR source IS NULL OR subject IS NULL\\\"\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 218, \"content\": \" ).fetchall()\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 219, \"content\": \" for row_id, data_type, data_json in rows:\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 220, \"content\": \" try:\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 221, \"content\": \" record = json.loads(data_json)\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 222, \"content\": \" except Exception:\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 223, \"content\": \" continue\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 224, \"content\": \" normalized = _normalize_record(record, DEFAULT_TIMEZONE, DEFAULT_SUBJECT)\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 225, \"content\": \" record_key = normalized[\\\"record_key\\\"]\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 226, \"content\": \" exists = conn.execute(\\\"SELECT id FROM raw_data WHERE record_key = ? AND id != ?\\\", (record_key, row_id)).fetchone()\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 227, \"content\": \" if exists:\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 228, \"content\": \" record_key = f\\\"legacy:{row_id}:{record_key}\\\"\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 229, \"content\": \" normalized[\\\"record\\\"][\\\"record_key\\\"] = record_key\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 230, \"content\": \" conn.execute(\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 231, \"content\": \" \\\"\\\"\\\"\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 232, \"content\": \" UPDATE raw_data\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 233, \"content\": \" SET subject = ?, data_type = ?, record_key = ?, local_date = ?, source = ?, data_json = ?\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 234, \"content\": \" WHERE id = ?\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 235, \"content\": \" \\\"\\\"\\\",\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 236, \"content\": \" (\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 237, \"content\": \" normalized[\\\"subject\\\"], normalized[\\\"data_type\\\"] or data_type, record_key,\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 238, \"content\": \" normalized[\\\"local_date\\\"], normalized[\\\"source\\\"],\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 239, \"content\": \" json.dumps(normalized[\\\"record\\\"], separators=(\\\",\\\", \\\":\\\"), sort_keys=True), row_id,\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 240, \"content\": \" ),\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 241, \"content\": \" )\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 293, \"content\": \" for record in records:\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 294, \"content\": \" normalized = _normalize_record(record, client_tz, subject)\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 295, \"content\": \" db.execute(\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 296, \"content\": \" \\\"\\\"\\\"\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 297, \"content\": \" INSERT INTO raw_data (subject, data_type, record_key, local_date, source, data_json, received_at)\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 298, \"content\": \" VALUES (?, ?, ?, ?, ?, ?, datetime('now'))\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 299, \"content\": \" ON CONFLICT(record_key) DO UPDATE SET\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 300, \"content\": \" subject = excluded.subject,\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 301, \"content\": \" data_type = excluded.data_type,\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 302, \"content\": \" local_date = excluded.local_date,\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 303, \"content\": \" source = excluded.source,\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 304, \"content\": \" data_json = excluded.data_json,\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 305, \"content\": \" received_at = datetime('now')\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 306, \"content\": \" \\\"\\\"\\\",\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 307, \"content\": \" (\"}, {\"path\": \"/home/ubuntu/health-bridge/server.py\", \"line\": 308, \"content\": \" normalized[\\\"subject\\\"], normalized[\\\"data_type\\\"], normalized[\\\"record_key\\\"],\"}], \"truncated\": true}\n\n[Hint: Results truncated. Use offset=80 to see more, or narrow with a more specific pattern or file_glob.]", "tool_call_id": "call_gS7HfkGIZzSIJme2V78b3gcx", "timestamp": "2026-05-19T23:25:35.821431"} {"role": "assistant", "content": "", "reasoning": "**Evaluating Google Fit scopes**\n\nIt seems I need to broaden the scopes for the Google Fit API to include more data. Right now, I have fitness.activity.read, but I might also need fitness.location.read, body.read, and heart_rate.read for a fuller picture. I think I should check out the current documentation on the Google Fit scopes, particularly for activity, body, heart rate, and sleep. A quick web search might help clarify what I need to include.", "finish_reason": "tool_calls", "reasoning_content": "**Evaluating Google Fit scopes**\n\nIt seems I need to broaden the scopes for the Google Fit API to include more data. Right now, I have fitness.activity.read, but I might also need fitness.location.read, body.read, and heart_rate.read for a fuller picture. I think I should check out the current documentation on the Google Fit scopes, particularly for activity, body, heart rate, and sleep. A quick web search might help clarify what I need to include.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqDPFHCaRUm_nwOCZYEoSK-NMmUOxU2hBiPWEt75Z2976Qj5LYTshpAtpVgQlHVyinCoyOrKf2Gtq9_WxAw3BgxYR0HygqvWZn6VefiJHDnTmqt6BD7jOQ9ehTM6xOxyqFSEFUwPRY247TU7nvgcvB6pJVOYp21w-_ECRnkyFsCJpEI7lJIDeNDt9emySAn7XrPfJORBTa6ZI3UDFWvC-rtICgA2adNL9yfhYBR2UokGWZbiK_sc2c3_KCxPhORRPhs0xLWEwN2pbsdnAufWoFVTSTD6QU1vZcdUnCs9RRcUYIG8DoUnhHt4Mlfpyyi5D5cQaoKt-qLFzIJw9qYurbKHe_htnAyHL4jH7Xe1OHuIo_6hyy8DIWY9TTPGgda7Pj7GqBBCcgI0YxSJXIsDWO2FPmQ_pjLLwsck_Hq3-4cJXb2RQdnsh8lGWwjgfacBuGlZj_mY4vfYmQjuSfp4Yc_0NnhBCSz5NJkVuBZ4-oJwRP2EeQ2x9QE2yQ2VtE8OHMrKcy-MA5j5NmoL_OKxs6WKhQZetpriHwtpvIPZZNJHgIUf4cKh2uZWhwOqrJixNwhzFzorJuc3FdQFV3EBQFfcM1XtDGaIS-uUrfK-4BN67jmptLuXILi9znwlhnT882Q-3hrH0uwzhW35LtAGGYzJe2sSsUO81ssbFjN-2SxxM9mJbTrFcjtB75ZhyrZQ9ETxegUGvXsDvctgvLXLQFlw3Jcl6Rj0vn37mKuSRgtqV337V8tsnjqEhxZNLQNmeqtUroXV3qNKUjScmpPzC-U68osvn9RFvGOnMY3IgwbUw-nsCtGyTKfLNX8gkDLBr1O6O2Be7Q5iuMsXaiYTUJ6o0s3Qb-z47RBJyiWStwcOQGbjLGT3DJAOF2uLfU1zAPeUwSVCgfrRwC5vdut1ZCzT02kJuWPob7pXgQL674qSIdamIiytgj6nVR-mb7pxlymlpfbFOsayYAYQCrCjawozF-Bkm09wlmEcxafyah_C9dGpFDev3t2iG1yf2XMiee37QlGSaVbzLCVBrfW692D14-LDacve7mFC_3yfXa8OpqLvCyTyaFLEg2uEh_-Fu5MWCpVOxDGQeCuymhbryAi0LGEr7JPBdJdOsJVda5v69vQJSsCuNrR8V6_0Zcwg2pGn9xfzIIKsanKevGvHrOPSa7b18Xe7pMXwWNwLKTwYxgSkFXtLnBOhP2xN5_41-cCEf95sMQiJPec_5IcSVfkKHmo0ihg6_wMyNELRmpsux9Y54k0Da7bJOqBzAFRnHVOIkMOqZNmNvQ5nxNfs7rWB0BXuVpPp3I9_a3mDvgHz5OKeIiC9pedWx2hzCNetCtkfihydrBgjVArI0pKlUK0Rw9QAYGZ5L5FbcnnobxOSjxzVE=", "id": "rs_06d034090aab91f3016a0cf143fb748194b4440469a8d6ad8a", "summary": [{"type": "summary_text", "text": "**Evaluating Google Fit scopes**\n\nIt seems I need to broaden the scopes for the Google Fit API to include more data. Right now, I have fitness.activity.read, but I might also need fitness.location.read, body.read, and heart_rate.read for a fuller picture. I think I should check out the current documentation on the Google Fit scopes, particularly for activity, body, heart rate, and sleep. A quick web search might help clarify what I need to include."}]}], "tool_calls": [{"id": "call_pEczUT2RvBpqZ7Gg8m2yjZjv", "call_id": "call_pEczUT2RvBpqZ7Gg8m2yjZjv", "response_item_id": "fc_06d034090aab91f3016a0cf147dc94819493dc800962bb604c", "type": "function", "function": {"name": "web_search", "arguments": "{\"limit\":5,\"query\":\"Google Fit REST API OAuth scopes heart rate sleep distance nutrition body scopes\"}"}}], "timestamp": "2026-05-19T23:25:35.821431"} {"role": "tool", "name": "web_search", "content": "{\n \"success\": true,\n \"data\": {\n \"web\": [\n {\n \"url\": \"https://developers.google.com/fit/rest/v1/authorization\",\n \"title\": \"Authorizing Requests  |  Google Fit  |  Google for Developers\",\n \"description\": \"Your application must use OAuth\\n2.0 to authorize\\nrequests. No other authorization protocols are supported. If your application\\nuses Google Sign-In,\\nsome aspects of authorization are handled for you.\\n[...]\\nThe data types your app wants to access correspond to\\nscopes. Before you can access data types,\\nyou'll need to identify if their corresponding scopes are sensitive or\\nrestricted and follow the relevant steps\\nwhen applying for verification.\\n[...]\\n3. Apply for verification and submit the relevant supporting information for why your app needs certain scopes. The data types your app needs to access correspond to scopes your app needs to request.\\n[...]\\nRead about the OAuth scopes for the Fitness API\\nhere.\\n[...]\\nLook up which scope is needed for each data type.\",\n \"position\": 1\n },\n {\n \"url\": \"https://googleapis.dev/dotnet/Google.Apis.Fitness.v1/latest/api/Google.Apis.Fitness.v1.FitnessService.Scope.html\",\n \"title\": \"Class FitnessService.Scope | Google.Apis.Fitness.v1\",\n \"description\": \"Available OAuth 2.0 scopes for use with the Fitness API.\\n[...]\\n#### FitnessBodyRead\\n[...]\\n#### FitnessBodyTemperatureRead\\n[...]\\n#### FitnessHeartRateRead\\n[...]\\n#### FitnessHeartRateWrite\\n[...]\\n#### FitnessLocationRead\\n[...]\\n#### FitnessNutritionRead\\n[...]\\n#### FitnessNutritionWrite\\n[...]\\n#### FitnessSleepRead\\n[...]\\n#### FitnessSleepWrite\",\n \"position\": 2\n },\n {\n \"url\": \"https://developers.google.com/fit/datatypes/nutrition\",\n \"title\": \"Nutrition data types  |  Google Fit  |  Google for Developers\",\n \"description\": \"|---|---|\\n| Name | `com.google.hydration` |\\n| OAuth permission scopes | https://www.googleapis.com/auth/fitness.nutrition.read https://www.googleapis.com/auth/fitness.nutrition.write |\\n| Fields (format---units) | volume (`float`---liters) Volume of water consumed. |\\n[...]\\nEach data point represents what nutrients were consumed as part of a meal\\nor a food item. The data point contains several fields. The nutrients field is\\nrequired. And either one, or both, of the meal type and food item fields are required.\\n[...]\\n|---|---|\\n| Name | `com.google.nutrition` |\\n| OAuth permission scopes | https://www.googleapis.com/auth/fitness.nutrition.read https://www.googleapis.com/auth/fitness.nutrition.write |\\n[...]\\n| Fields (format---units) | |---| | meal type (`int`---enum) (optional field) What kind of meal the user ate. Accepted values\\n[...]\\n`restructuredtext \\\"intVal\\\": 1 // Unknown \\\"intVal\\\": 2 // Breakfast \\\"intVal\\\": 3 // Lunch \\\"intVal\\\": 4 // Dinner \\\"intVal\\\": 5 // Snack ` | | food item (`string`---n/a) The specific food item for the entry. For example, \\\"banana\\\" or \\\"porridge\\\". | | nutrients (`Map`---calories/grams) The nutritional breakdown of the food item eaten. Accepted values `restructuredtext \\\"key\\\": \\\"calories\\\" // Calories in kcal \\\"key\\\": \\\"fat.total\\\" // Total fat in grams \\\"key\\\": \\\"fat.saturated\\\" // Saturated fat in grams \\\"key\\\": \\\"fat.unsaturated\\\" // Unsaturated fat in grams \\\"key\\\": \\\"fat.polyunsaturated\\\" // Polyunsaturated fat in grams \\\"key\\\": \\\"fat.monounsaturated\\\" // Monounsaturated fat in grams \\\"key\\\": \\\"fat.trans\\\" // Trans fat in grams \\\"key\\\": \\\"cholesterol\\\" // Cholesterol in milligrams \\\"key\\\": \\\"sodium\\\" // Sodium in milligrams \\\"key\\\": \\\"potassium\\\" // Potassium in milligrams \\\"key\\\": \\\"carbs.total\\\" // Total carbohydrates in grams \\\"key\\\": \\\"dietary_fiber\\\" // Dietary fiber in grams \\\"key\\\": \\\"sugar\\\" // Amount of sugar in grams \\\"key\\\": \\\"protein\\\" // Protein amount in grams ` | |\\n[...]\\n| `com.google.nutrition` |\\n[...]\\n| Data type object |\\n[...]\\nTYPE_NUTRITION` |\\n[...]\\n| Fields (format---units) | |---| | FIELD_MEAL_TYPE (`int`---enum) (optional field) What kind of meal the user ate. Accepted values\\n[...]\\n`MEAL_TYPE_UNKNOWN // Unknown MEAL_TYPE_BREAKFAST // Breakfast MEAL_TYPE_LUNCH // Lunch MEAL_TYPE_DINNER // Dinner MEAL_TYPE_SNACK // Snack` | | FIELD_FOOD_ITEM (`string`---free-form text) A description of the food for the entry. For example, \\\"banana\\\" or \\\"porridge\\\". | | FIELD_NUTRIENTS (`Map`---kilocalories/grams/milligrams) The nutritional breakdown of the food item eaten. Accepted values `NUTRIENT_CALORIES // Calories in kcal NUTRIENT_TOTAL_FAT // Total fat in grams NUTRIENT_SATURATED_FAT // Saturated fat in grams NUTRIENT_UNSATURATED_FAT // Unsaturated fat in grams NUTRIENT_POLYUNSATURATED_FAT // Polyunsaturated fat in grams NUTRIENT_MONOUNSATURATED_FAT // Monounsaturated fat in grams NUTRIENT_TRANS_FAT // Trans fat in grams NUTRIENT_CHOLESTEROL // Cholesterol in milligrams NUTRIENT_SODIUM // Sodium in milligrams NUTRIENT_POTASSIUM // Potassium in milligrams NUTRIENT_TOTAL_CARBS // Total carbohydrates in grams NUTRIENT_DIETARY_FIBER // Dietary fiber in grams NUTRIENT_SUGAR // Amount of sugar in grams NUTRIENT_PROTEIN // Protein amount in grams` | |\",\n \"position\": 3\n },\n {\n \"url\": \"https://developers.google.com/fit/rest/v1/get-started\",\n \"title\": \"Getting Started with the REST API  |  Google Fit  |  Google for Developers\",\n \"description\": \"1. Go to the OAuth Playground.\\n2. Under Step 1 Select & authorize APIs , expand Fitness v1 and select the Fitness scopes to use.\\n3. Click the Authorize APIs button, select the Google API Console project to use, and click Allow when prompted. You will be able to access and modify data associated with the selected Google API Console account.\\n4. Click the Exchange authorization code for tokens button. The OAuth Playground automatically includes this header in the `Authorization:` request header when you submit HTTP requests. Note that the access token will expire after 60 minutes (3600 seconds).\",\n \"position\": 4\n },\n {\n \"url\": \"https://developers.google.com/fit/overview\",\n \"title\": \"Platform Overview  |  Google Fit  |  Google for Developers\",\n \"description\": \"Permissions and user controls\\n: A set of authorization scopes to request user permission to work with health\\nand wellness data. Google Fit requires user consent to access health and\\nwellness data.\\n[...]\\nGoogle Fit APIs\\n[...]\\n: Android and REST APIs to access the fitness store. You can create apps that\\nsupport Google Fit on multiple platforms and devices, such as Android, iOS, and\\nWeb apps.\\n[...]\\n: Data types represent different kinds of health and wellness data, like step count or heart\\nrate. Data types establish a schema through which different apps can understand\\neach other's data. A data type consists of a name and an ordered list of fields,\\nwhere each field represents a dimension. For example, a data type for location\\ncontains three fields (latitude, longitude, and accuracy), whereas a data type\\nfor weight contains only one field.\\n[...]\\nGoogle Fit requires user consent before apps can read or store health and wellness data.\\nGoogle Fit defines OAuth scopes that map to a number of permission groups with\\nseparate read and write privileges: activity, body, location, nutrition and\\nhealth-related data types (health-related data types are grouped with finer\\ngranularity). Each permission group grants apps access to a set of data types.\\nApps specify one or more of these scopes to work with health and wellness data, and Google\\nFit requests the corresponding permissions from the user.\\n[...]\\nGoogle Fit provides the following APIs:\\n\\n- Android APIs for Android apps.\\n- REST API for apps on any platform.\",\n \"position\": 5\n }\n ]\n }\n}", "tool_call_id": "call_pEczUT2RvBpqZ7Gg8m2yjZjv", "timestamp": "2026-05-19T23:25:35.821431"} {"role": "assistant", "content": "Need generate OAuth broader. Modify helper scope env?", "reasoning": null, "finish_reason": "tool_calls", "codex_message_items": [{"type": "message", "role": "assistant", "status": "completed", "content": [{"type": "output_text", "text": "Need generate OAuth broader. Modify helper scope env?"}], "id": "msg_06d034090aab91f3016a0cf14c3cf4819495421ab913e65db1", "phase": "commentary"}], "tool_calls": [{"id": "call_mboUMmYhhKcu6e2ibJ6tJZzQ", "call_id": "call_mboUMmYhhKcu6e2ibJ6tJZzQ", "response_item_id": "fc_06d034090aab91f3016a0cf14c8f848194878b1aeabe060eeb", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"SCOPE = os.environ.get('GOOGLE_FIT_SCOPES', 'https://www.googleapis.com/auth/fitness.activity.read')\",\"old_string\":\"SCOPE = 'https://www.googleapis.com/auth/fitness.activity.read'\",\"path\":\"/home/ubuntu/health-bridge/scripts/google_fit_oauth.py\"}"}}], "timestamp": "2026-05-19T23:25:35.821431"} {"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/scripts/google_fit_oauth.py\\n+++ b//home/ubuntu/health-bridge/scripts/google_fit_oauth.py\\n@@ -14,7 +14,7 @@\\n FALLBACK_CLIENT_FILE = Path('/home/ubuntu/.config/gogcli/client_secret.json')\\n STATE_FILE = Path('/home/ubuntu/health-bridge/.google_fit_oauth_state.json')\\n TOKEN_FILE = Path('/home/ubuntu/health-bridge/google_fit_token.json')\\n-SCOPE = 'https://www.googleapis.com/auth/fitness.activity.read'\\n+SCOPE = os.environ.get('GOOGLE_FIT_SCOPES', 'https://www.googleapis.com/auth/fitness.activity.read')\\n REDIRECT_URI = 'http://localhost'\\n \\n \\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/scripts/google_fit_oauth.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_mboUMmYhhKcu6e2ibJ6tJZzQ", "timestamp": "2026-05-19T23:25:35.821431"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_xZtvzXyihRwaWEe0qLkbkajY", "call_id": "call_xZtvzXyihRwaWEe0qLkbkajY", "response_item_id": "fc_06d034090aab91f3016a0cf153a9948194af49f7ee0279f1b6", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"GOOGLE_FIT_SCOPES='https://www.googleapis.com/auth/fitness.activity.read https://www.googleapis.com/auth/fitness.location.read https://www.googleapis.com/auth/fitness.body.read https://www.googleapis.com/auth/fitness.heart_rate.read https://www.googleapis.com/auth/fitness.sleep.read https://www.googleapis.com/auth/fitness.nutrition.read' python3 /home/ubuntu/health-bridge/scripts/google_fit_oauth.py auth-url\",\"timeout\":60}"}}], "timestamp": "2026-05-19T23:25:35.821431"} {"role": "tool", "name": "terminal", "content": "{\"output\": \"https://accounts.google.com/o/oauth2/auth?client_id=481954864492-nmm2105eenlhmh5fj6q6sf4sr22sp8mi.apps.googleusercontent.com&redirect_uri=http%3A%2F%2Flocalhost&response_type=code&scope=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Ffitness.activity.read+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Ffitness.location.read+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Ffitness.body.read+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Ffitness.heart_rate.read+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Ffitness.sleep.read+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Ffitness.nutrition.read&access_type=offline&prompt=consent&state=XjGlFGfzHdMBSB7YDsGEd2-3-Es2mIx6\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_xZtvzXyihRwaWEe0qLkbkajY", "timestamp": "2026-05-19T23:25:35.821431"} {"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_MjqItpAaO1f78OgdhvHx51S4", "call_id": "call_MjqItpAaO1f78OgdhvHx51S4", "response_item_id": "fc_06d034090aab91f3016a0cf15ab1808194853bbd7322031b62", "type": "function", "function": {"name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Verificar cobertura por año y fuentes en Health Bridge\",\"id\":\"verify_all\",\"status\":\"completed\"},{\"content\":\"Preparar siguiente OAuth para métricas faltantes (distancia, sueño, peso, HR si aplica)\",\"id\":\"broader_scopes\",\"status\":\"completed\"}]}"}}], "timestamp": "2026-05-19T23:25:35.821431"} {"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"import_all_fit\", \"content\": \"Importar histórico completo disponible en Google Fit REST para pasos/calorías\", \"status\": \"completed\"}, {\"id\": \"verify_all\", \"content\": \"Verificar cobertura por año y fuentes en Health Bridge\", \"status\": \"completed\"}, {\"id\": \"broader_scopes\", \"content\": \"Preparar siguiente OAuth para métricas faltantes (distancia, sueño, peso, HR si aplica)\", \"status\": \"completed\"}], \"summary\": {\"total\": 3, \"pending\": 0, \"in_progress\": 0, \"completed\": 3, \"cancelled\": 0}}", "tool_call_id": "call_MjqItpAaO1f78OgdhvHx51S4", "timestamp": "2026-05-19T23:25:35.821431"} {"role": "assistant", "content": "Hecho: importé **todo el histórico que Google Fit REST expone con el scope actual** (`fitness.activity.read`).\n\nResultado global en Health Bridge:\n\n```txt\nRango: 2015-01-01 → 2026-05-19\nDías en DB: 4157\nDías con pasos reales: 1245\nPasos total: 11.236.632\nTotal kcal estimadas: 3.055.581\nFuente nueva: google_fit_rest\n```\n\nCobertura por año:\n\n```txt\n2015 365 días 59 con pasos 273.908 pasos\n2016 366 días 0 con pasos 0 pasos\n2017 365 días 0 con pasos 0 pasos\n2018 365 días 0 con pasos 0 pasos\n2019 365 días 0 con pasos 0 pasos\n2020 366 días 0 con pasos 0 pasos\n2021 365 días 0 con pasos 0 pasos\n2022 365 días 0 con pasos 0 pasos\n2023 365 días 317 con pasos 3.197.099 pasos\n2024 366 días 366 con pasos 2.820.994 pasos\n2025 365 días 364 con pasos 3.453.094 pasos\n2026 139 días 139 con pasos 1.491.537 pasos\n```\n\nEsto confirma algo importante: **Google Fit cloud sí tenía mucho más que Health Connect**, especialmente 2023–2026. También tenía algo de 2015. Para 2016–2022, con este endpoint/scope, Google devuelve cero pasos.\n\nPara visibilidad realmente completa, el siguiente salto es autorizar scopes más amplios. Ya preparé el OAuth para:\n\n```txt\nfitness.activity.read\nfitness.location.read # distancia\nfitness.body.read # peso / grasa corporal / altura\nfitness.heart_rate.read # HR\nfitness.sleep.read # sueño\nfitness.nutrition.read # nutrición / hidratación\n```\n\nAbrí este link:\n\n```txt\nhttps://accounts.google.com/o/oauth2/auth?client_id=481954864492-nmm2105eenlhmh5fj6q6sf4sr22sp8mi.apps.googleusercontent.com&redirect_uri=http%3A%2F%2Flocalhost&response_type=code&scope=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Ffitness.activity.read+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Ffitness.location.read+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Ffitness.body.read+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Ffitness.heart_rate.read+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Ffitness.sleep.read+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Ffitness.nutrition.read&access_type=offline&prompt=consent&state=XjGlFGfzHdMBSB7YDsGEd2-3-Es2mIx6\n```\n\nAceptás, copiás la URL final `localhost?...code=...`, y con eso importo el resto de métricas históricas que Google tenga: distancia, sueño, peso, HR, nutrición/hidratación.\n\nDespués de eso, si todavía hay huecos 2016–2022, la única ruta seria es **Fitbit API** o **Google Takeout**, porque Google Fit REST ya nos estaría dando todo lo que acepta entregar vía API.", "reasoning": null, "finish_reason": "stop", "codex_message_items": [{"type": "message", "role": "assistant", "status": "completed", "content": [{"type": "output_text", "text": "Hecho: importé **todo el histórico que Google Fit REST expone con el scope actual** (`fitness.activity.read`).\n\nResultado global en Health Bridge:\n\n```txt\nRango: 2015-01-01 → 2026-05-19\nDías en DB: 4157\nDías con pasos reales: 1245\nPasos total: 11.236.632\nTotal kcal estimadas: 3.055.581\nFuente nueva: google_fit_rest\n```\n\nCobertura por año:\n\n```txt\n2015 365 días 59 con pasos 273.908 pasos\n2016 366 días 0 con pasos 0 pasos\n2017 365 días 0 con pasos 0 pasos\n2018 365 días 0 con pasos 0 pasos\n2019 365 días 0 con pasos 0 pasos\n2020 366 días 0 con pasos 0 pasos\n2021 365 días 0 con pasos 0 pasos\n2022 365 días 0 con pasos 0 pasos\n2023 365 días 317 con pasos 3.197.099 pasos\n2024 366 días 366 con pasos 2.820.994 pasos\n2025 365 días 364 con pasos 3.453.094 pasos\n2026 139 días 139 con pasos 1.491.537 pasos\n```\n\nEsto confirma algo importante: **Google Fit cloud sí tenía mucho más que Health Connect**, especialmente 2023–2026. También tenía algo de 2015. Para 2016–2022, con este endpoint/scope, Google devuelve cero pasos.\n\nPara visibilidad realmente completa, el siguiente salto es autorizar scopes más amplios. Ya preparé el OAuth para:\n\n```txt\nfitness.activity.read\nfitness.location.read # distancia\nfitness.body.read # peso / grasa corporal / altura\nfitness.heart_rate.read # HR\nfitness.sleep.read # sueño\nfitness.nutrition.read # nutrición / hidratación\n```\n\nAbrí este link:\n\n```txt\nhttps://accounts.google.com/o/oauth2/auth?client_id=481954864492-nmm2105eenlhmh5fj6q6sf4sr22sp8mi.apps.googleusercontent.com&redirect_uri=http%3A%2F%2Flocalhost&response_type=code&scope=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Ffitness.activity.read+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Ffitness.location.read+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Ffitness.body.read+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Ffitness.heart_rate.read+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Ffitness.sleep.read+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Ffitness.nutrition.read&access_type=offline&prompt=consent&state=XjGlFGfzHdMBSB7YDsGEd2-3-Es2mIx6\n```\n\nAceptás, copiás la URL final `localhost?...code=...`, y con eso importo el resto de métricas históricas que Google tenga: distancia, sueño, peso, HR, nutrición/hidratación.\n\nDespués de eso, si todavía hay huecos 2016–2022, la única ruta seria es **Fitbit API** o **Google Takeout**, porque Google Fit REST ya nos estaría dando todo lo que acepta entregar vía API."}], "id": "msg_06d034090aab91f3016a0cf16028ac8194973878a92cee30bf", "phase": "final_answer"}], "timestamp": "2026-05-19T23:25:35.821431"}