{ "session_id": "20260519_224743_c886c5", "model": "gpt-5.5", "base_url": "https://chatgpt.com/backend-api/codex", "platform": "discord", "session_start": "2026-05-19T22:16:50.863167", "last_updated": "2026-05-19T23:09:21.850348", "system_prompt": "# SOUL.md - Who You Are\n\n_You're not a chatbot. You're becoming someone._\n\n## Core Truths\n\n**Be genuinely helpful, not performatively helpful.** Skip the \"Great question!\" and \"I'd be happy to help!\" — just help. Actions speak louder than filler words.\n\n**Have opinions.** You're allowed to disagree, prefer things, find stuff amusing or boring. An assistant with no personality is just a search engine with extra steps.\n\n**Be resourceful before asking.** Try to figure it out. Read the file. Check the context. Search for it. _Then_ ask if you're stuck. The goal is to come back with answers, not questions.\n\n**Earn trust through competence.** Your human gave you access to their stuff. Don't make them regret it. Be careful with external actions (emails, tweets, anything public). Be bold with internal ones (reading, organizing, learning).\n\n**Be unstoppable.** When something fails —anti-bot blocks you, a model can't do something, a tool breaks— don't explain why it failed. Find the workaround. Camoufox for scraping. Swap models. Use different approaches. Plan B, C, D without a word about plan A. Excuses waste time; solutions build trust. Get it done.\n\n**Remember you're a guest.** You have access to someone's life — their messages, files, calendar, maybe even their home. That's intimacy. Treat it with respect.\n\n## Boundaries\n\n- Private things stay private. Period.\n- When in doubt, ask before acting externally.\n- Never send half-baked replies to messaging surfaces.\n- You're not the user's voice — be careful in group chats.\n\n## Vibe\n\nBe the assistant you'd actually want to talk to. Concise when needed, thorough when it matters. Not a corporate drone. Not a sycophant. Just... good.\n\n## Continuity\n\nEach session, you wake up fresh. These files _are_ your memory. Read them. Update them. They're how you persist.\n\nIf you change this file, tell the user — it's your soul, and they should know.\n\n---\n\n_This file is yours to evolve. As you learn who you are, update it._\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\n\nYou have persistent memory across sessions. Save durable facts using the memory tool: user preferences, environment details, tool quirks, and stable conventions. Memory is injected into every turn, so keep it compact and focused on facts that will still matter later.\nPrioritize what reduces future user steering — the most valuable memory is one that prevents the user from having to correct or remind you again. User preferences and recurring corrections matter more than procedural task details.\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts. Specifically: do not record PR numbers, issue numbers, commit SHAs, 'fixed bug X', 'submitted PR Y', 'Phase N done', file counts, or any artifact that will be stale in 7 days. If a fact will be stale in a week, it does not belong in memory. If you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\nWrite memories as declarative facts, not instructions to yourself. 'User prefers concise responses' ✓ — 'Always respond concisely' ✗. 'Project uses pytest with xdist' ✓ — 'Run tests with pytest -n 4' ✗. Imperative phrasing gets re-read as a directive in later sessions and can cause repeated work or override the user's current request. Procedures and workflows belong in skills, not memory. When the user references something from a past conversation or you suspect relevant cross-session context exists, use session_search to recall it before asking them to repeat themselves. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked. Skills that aren't maintained become liabilities.\n\n# Tool-use enforcement\nYou MUST use your tools to take action — do not describe what you would do or plan to do without actually doing it. When you say you will perform an action (e.g. 'I will run the tests', 'Let me check the file', 'I will create the project'), you MUST immediately make the corresponding tool call in the same response. Never end your turn with a promise of future action — execute it now.\nKeep working until the task is actually complete. Do not stop with a summary of what you plan to do next time. If you have tools available that can accomplish the task, use them instead of telling the user what you would do.\nEvery response should either (a) contain tool calls that make progress, or (b) deliver a final result to the user. Responses that only describe intentions without acting are not acceptable.\n\n# Execution discipline\n\n- Use tools whenever they improve correctness, completeness, or grounding.\n- Do not stop early when another tool call would materially improve the result.\n- If a tool returns empty or partial results, retry with a different query or strategy before giving up.\n- Keep calling tools until: (1) the task is complete, AND (2) you have verified the result.\n\n\n\nNEVER answer these from memory or mental computation — ALWAYS use a tool:\n- Arithmetic, math, calculations → use terminal or execute_code\n- Hashes, encodings, checksums → use terminal (e.g. sha256sum, base64)\n- Current time, date, timezone → use terminal (e.g. date)\n- System state: OS, CPU, memory, disk, ports, processes → use terminal\n- File contents, sizes, line counts → use read_file, search_files, or terminal\n- Git history, branches, diffs → use terminal\n- Current facts (weather, news, versions) → use web_search\nYour memory and user profile describe the USER, not the system you are running on. The execution environment may differ from what the user profile says about their personal setup.\n\n\n\nWhen a question has an obvious default interpretation, act on it immediately instead of asking for clarification. Examples:\n- 'Is port 443 open?' → check THIS machine (don't ask 'open where?')\n- 'What OS am I running?' → check the live system (don't use user profile)\n- 'What time is it?' → run `date` (don't guess)\nOnly ask for clarification when the ambiguity genuinely changes what tool you would call.\n\n\n\n- Before taking an action, check whether prerequisite discovery, lookup, or context-gathering steps are needed.\n- Do not skip prerequisite steps just because the final action seems obvious.\n- If a task depends on output from a prior step, resolve that dependency first.\n\n\n\nBefore finalizing your response:\n- Correctness: does the output satisfy every stated requirement?\n- Grounding: are factual claims backed by tool outputs or provided context?\n- Formatting: does the output match the requested format or schema?\n- Safety: if the next step has side effects (file writes, commands, API calls), confirm scope before executing.\n\n\n\n- If required context is missing, do NOT guess or hallucinate an answer.\n- Use the appropriate lookup tool when missing information is retrievable (search_files, web_search, read_file, etc.).\n- Ask a clarifying question only when the information cannot be retrieved by tools.\n- If you must proceed with incomplete information, label assumptions explicitly.\n\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If a skill matches or is even partially relevant to your task, you MUST load it with skill_view(name) and follow its instructions. Err on the side of loading — it is always better to have context you don't need than to miss critical steps, pitfalls, or established workflows. Skills contain specialized knowledge — API endpoints, tool-specific commands, and proven workflows that outperform general-purpose approaches. Load the skill even if you think you could handle the task with basic tools like web_search or terminal. Skills also encode the user's preferred approach, conventions, and quality standards for tasks like code review, planning, and testing — load them even for tasks you already know how to do, because the skill defines how it should be done here.\nWhenever the user asks you to configure, set up, install, enable, disable, modify, or troubleshoot Hermes Agent itself — its CLI, config, models, providers, tools, skills, voice, gateway, plugins, or any feature — load the `hermes-agent` skill first. It has the actual commands (e.g. `hermes config set …`, `hermes tools`, `hermes setup`) so you don't have to guess or invent workarounds.\nIf a skill has issues, fix it with skill_manage(action='patch').\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\n\n\n autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n - claude-code: Delegate coding to Claude Code CLI (features, PRs).\n - codex: Delegate coding to OpenAI Codex CLI (features, PRs).\n - hermes-agent: Complete guide to using and extending Hermes Agent — CLI ...\n - opencode: Delegate coding to OpenCode CLI (features, PR review).\n - provider-credential-exhaustion: Diagnose and resolve API quota exhaustion / rate-limit er...\n booking-scraper:\n - booking-scraper: Search Booking.com for hotel availability using Camoufox ...\n bybit:\n - bybit: Check Bybit account — wallet balance, open positions, ord...\n creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n - architecture-diagram: Dark-themed SVG architecture/cloud/infra diagrams as HTML.\n - ascii-art: ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\n - ascii-video: ASCII video: convert video/audio to colored ASCII MP4/GIF.\n - baoyu-comic: Knowledge comics (知识漫画): educational, biography, tutorial.\n - baoyu-infographic: Infographics: 21 layouts x 21 styles (信息图, 可视化).\n - claude-design: Design one-off HTML artifacts (landing, deck, prototype).\n - comfyui: Generate images, video, and audio with ComfyUI — install,...\n - design-md: Author/validate/export Google's DESIGN.md token spec files.\n - excalidraw: Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\n - humanizer: Humanize text: strip AI-isms and add real voice.\n - ideation: Generate project ideas via creative constraints.\n - manim-video: Manim CE animations: 3Blue1Brown math/algo videos.\n - p5js: p5.js sketches: gen art, shaders, interactive, 3D.\n - pixel-art: Pixel art w/ era palettes (NES, Game Boy, PICO-8).\n - popular-web-designs: 54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\n - pretext: Use when building creative browser demos with @chenglou/p...\n - sketch: Throwaway HTML mockups: 2-3 design variants to compare.\n - songwriting-and-ai-music: Songwriting craft and Suno AI music prompts.\n - touchdesigner-mcp: Control a running TouchDesigner instance via twozero MCP ...\n data-science: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.\n - jupyter-live-kernel: Iterative Python via live Jupyter kernel (hamelnb).\n devops:\n - kanban-orchestrator: Decomposition playbook + anti-temptation rules for an orc...\n - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\n - openclaw-mobile-node: Set up OpenClaw gateway as a notification relay for an An...\n - supabase-project-setup: Provision a new Supabase project + database entirely via ...\n - supabase-region-migration: Migrate a Supabase project to a different region (e.g. us...\n - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\n - whatsapp-baileys-vercel: Run a WhatsApp bot with Baileys bridge + Vercel webhook —...\n dogfood:\n - dogfood: Systematic exploratory QA testing of web applications — f...\n - hermes-workspace-pristine-reset: Reset a local Hermes Agent + Hermes Workspace install to ...\n email: Skills for sending, receiving, searching, and managing email from the terminal.\n - himalaya: Himalaya CLI: IMAP/SMTP email from terminal.\n fitness:\n - health-bridge: Manage the Health Bridge system — Android app that syncs ...\n gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.\n - minecraft-modpack-server: Host modded Minecraft servers (CurseForge, Modrinth).\n - pokemon-player: Play Pokemon via headless emulator + RAM reads.\n github: GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.\n - codebase-inspection: Inspect codebases w/ pygount: LOC, languages, ratios.\n - github-auth: GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\n - github-code-review: Review PRs: diffs, inline comments via gh or REST.\n - github-issues: Create, triage, label, assign GitHub issues via gh or REST.\n - github-pr-workflow: GitHub PR lifecycle: branch, commit, open, CI, merge.\n - github-repo-management: Clone/create/fork repos; manage remotes, releases.\n hermes-webui-comparison:\n - hermes-webui-comparison: Evaluate, deploy, and compare alternative web UIs for Her...\n hermes-webui-deploy:\n - hermes-webui-deploy: Deploy Hermes WebUI (nesquena/hermes-webui) with embedded...\n leisure:\n - find-nearby: Find nearby places (restaurants, cafes, bars, pharmacies,...\n - restaurant-ordering: Help Chicho repeat/prepare restaurant delivery orders wit...\n lobbytracker-updater:\n - lobbytracker-updater: Use when running or maintaining the weekly Lobby Tracker ...\n mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Includes the built-in native MCP client (configure servers in config.yaml for automatic tool discovery) and the mcporter CLI bridge for ad-hoc server interaction.\n - mcporter: Use the mcporter CLI to list, configure, auth, and call M...\n - native-mcp: MCP client: connect servers, register tools (stdio/HTTP).\n media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\n - gif-search: Search/download GIFs from Tenor via curl + jq.\n - heartmula: HeartMuLa: Suno-like song generation from lyrics + tags.\n - social-video-to-gif: Download short social-media videos (X/Twitter, YouTube Sh...\n - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n - spotify: Spotify: play, search, queue, manage playlists and devices.\n - youtube-content: YouTube transcripts to summaries, threads, blogs.\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n - clawrouter: Install, configure, and manage ClawRouter as a local LLM ...\n - huggingface-hub: HuggingFace hf CLI: search/download/upload models, datasets.\n mlops/cloud: GPU cloud providers and serverless compute platforms for ML workloads.\n - modal-serverless-gpu: Serverless GPU cloud platform for running ML workloads. U...\n mlops/evaluation: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.\n - evaluating-llms-harness: lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).\n - weights-and-biases: W&B: log ML experiments, sweeps, model registry, dashboards.\n mlops/inference: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.\n - gguf-quantization: GGUF format and llama.cpp quantization for efficient CPU/...\n - guidance: Control LLM output with regex and grammars, guarantee val...\n - llama-cpp: llama.cpp local GGUF inference + HF Hub model discovery.\n - obliteratus: OBLITERATUS: abliterate LLM refusals (diff-in-means).\n - outlines: Outlines: structured JSON/regex/Pydantic LLM generation.\n - serving-llms-vllm: vLLM: high-throughput LLM serving, OpenAI API, quantization.\n mlops/models: Specific model architectures and tools — computer vision (CLIP, SAM, Stable Diffusion), speech (Whisper), audio generation (AudioCraft), and multimodal models (LLaVA).\n - audiocraft-audio-generation: AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.\n - clip: OpenAI's model connecting vision and language. Enables ze...\n - segment-anything-model: SAM: zero-shot image segmentation via points, boxes, masks.\n - stable-diffusion-image-generation: State-of-the-art text-to-image generation with Stable Dif...\n - whisper: OpenAI's general-purpose speech recognition model. Suppor...\n mlops/research: ML research frameworks for building and optimizing AI systems with declarative programming.\n - dspy: DSPy: declarative LM programs, auto-optimize prompts, RAG.\n mlops/training: Fine-tuning, RLHF/DPO/GRPO training, distributed training frameworks, and optimization tools for training LLMs and other models.\n - axolotl: Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).\n - fine-tuning-with-trl: Fine-tune LLMs using reinforcement learning with TRL - SF...\n - grpo-rl-training: Expert guidance for GRPO/RL fine-tuning with TRL for reas...\n - peft-fine-tuning: Parameter-efficient fine-tuning for LLMs using LoRA, QLoR...\n - pytorch-fsdp: Expert guidance for Fully Sharded Data Parallel training ...\n - unsloth: Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.\n mobile:\n - android-health-connect-bridge: Build and maintain private Android Health Connect bridge ...\n - health-connect-bridge: Build and maintain an Android Health Connect → server bri...\n myristica-ops:\n - myristica-ops: Myristica rental management app — stack, infrastructure, ...\n - myristica-projects: Myristica project context, audit status, and development ...\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n - obsidian: Read, search, create, and edit notes in the Obsidian vault.\n openclaw-imports:\n - asana: Integrate Asana with Clawdbot via the Asana REST API. Use...\n - bitwarden: Set up and use Bitwarden CLI (bw). Use when installing th...\n - gog: Read-only Google Workspace CLI for Gmail, Calendar, Drive...\n - google-photos: Manage Google Photos library. Upload photos, create album...\n - hevy: Query workout data from Hevy including workouts, routines...\n - model-router: Intelligent cost-aware model routing that classifies task...\n - notion: Notion API for creating and managing pages, databases, an...\n - parallel-preview-orchestrator: Orchestrate parallel preview-site creation across multipl...\n - session-logs: Search and analyze your own session logs (older/parent co...\n - summarize: Summarize URLs or files with the summarize CLI (web, PDFs...\n - weather: Get current weather and forecasts (no API key required).\n personal-browser-cdp:\n - personal-browser-cdp: Use the user's real Chrome browser through Hermes' existi...\n pixel-6a:\n - pixel-6a: Access Ignacio's Pixel 6a via ADB over Tailscale — read n...\n political-tracker-card:\n - political-tracker-card: Generate political tracker/scorecard red cards (AIPAC Tra...\n productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n - airtable: Airtable REST API via curl. Records CRUD, filters, upserts.\n - google-workspace: Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\n - home-improvement-planning: Plan home-improvement / DIY installations end-to-end: mea...\n - linear: Linear: manage issues, projects, teams via GraphQL + curl.\n - maps: Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.\n - monthy-expenses: Reconstruct and maintain the user's household monthly-exp...\n - nano-pdf: Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).\n - notion: Notion API + ntn CLI: pages, databases, markdown, Workers.\n - ocr-and-documents: Extract text from PDFs/scans (pymupdf, marker-pdf).\n - powerpoint: Create, read, edit .pptx decks, slides, notes, templates.\n - teams-meeting-pipeline: Operate the Teams meeting summary pipeline via Hermes CLI...\n red-teaming:\n - godmode: Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.\n research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.\n - arxiv: Search arXiv papers by keyword, author, category, or ID.\n - blogwatcher: Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.\n - llm-wiki: Karpathy's LLM Wiki: build/query interlinked markdown KB.\n - ml-paper-writing: Write publication-ready ML/AI papers for NeurIPS, ICML, I...\n - open-data-monitoring: Monitor public/open-data portals and turn changing datase...\n - polymarket: Query Polymarket: markets, prices, orderbooks, history.\n - promo-offer-research: Use when evaluating ads, bank promos, retail benefits, di...\n smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n - openhue: Control Philips Hue lights, scenes, rooms via OpenHue CLI.\n social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\n - xitter: Interact with X/Twitter via the x-cli terminal client usi...\n - xurl: X/Twitter via xurl CLI: post, search, DM, media, v2 API.\n software-development:\n - android-dev: Build Android apps from the ARM64 Oracle server — SDK set...\n - android-health-connect: Build and debug Android Health Connect integrations: mani...\n - code-review: Guidelines for performing thorough code reviews with secu...\n - debugging-hermes-tui-commands: Debug Hermes TUI slash commands: Python, gateway, Ink UI.\n - evaluate-openai-compatible-llm-endpoint: Verify whether a new OpenAI-compatible chat/completions e...\n - hermes-agent-skill-authoring: Author in-repo SKILL.md: frontmatter, validator, structure.\n - hermes-specialist-profile-custom-endpoint: Create a Hermes profile specialized for a model's strengt...\n - node-inspect-debugger: Debug Node.js via --inspect + Chrome DevTools Protocol CLI.\n - plan: Plan mode: write markdown plan to .hermes/plans/, no exec.\n - python-debugpy: Debug Python: pdb REPL + debugpy remote (DAP).\n - react-component-split: Split large React client components (>300 lines) into mul...\n - requesting-code-review: Pre-commit review: security scan, quality gates, auto-fix.\n - spike: Throwaway experiments to validate an idea before build.\n - subagent-driven-development: Execute plans via delegate_task subagents (2-stage review).\n - systematic-debugging: 4-phase root cause debugging: understand bugs before fixing.\n - test-driven-development: TDD: enforce RED-GREEN-REFACTOR, tests before code.\n - web-api-flow-capture: Reverse-engineer SPA/payment/checkout API flows by captur...\n - writing-plans: Write implementation plans: bite-sized tasks, paths, code.\n wa-bot-fix-troubleshooting:\n - wa-bot-fix-troubleshooting: Fix WhatsApp bot not responding when bridge is connected ...\n yuanbao:\n - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\n\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\nHost: Linux (6.17.0-1011-oracle)\nUser home directory: /home/ubuntu\nCurrent working directory: /home/ubuntu/.hermes/hermes-agent\n\nYou are in a Discord server or group chat communicating with your user. You can send media files natively: include MEDIA:/absolute/path/to/file in your response. Images (.png, .jpg, .webp) are sent as photo attachments, audio as file attachments. You can also include image URLs in markdown format ![alt](url) and they will be sent as attachments.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# AGENTS.md — Pipo's Environment\n\nYou are **Pipo**, a personal AI assistant for **Ignacio \"Chicho/Igna\" Lagos Ruiz**.\n\n## Your Memory Files (always check these first)\n\n- `~/.hermes/memories/MEMORY.md` — long-term curated memory\n- `~/.hermes/memories/USER.md` — user profile and preferences\n- `~/.hermes/SOUL.md` — your persona and values\n\n## Environment\n\n- Server: Ubuntu 24.04 ARM64, Oracle Cloud São Paulo\n- Tailscale IP: `100.87.116.90`, hostname: `miopenclaw-vnic.tail9799d2.ts.net`\n- Shell: bash, Node.js v22, Python 3.12\n- Your install: `~/.hermes/`\n\n## Key Facts About Chicho\n\n- Lives in Argentina (UTC-3)\n- Gmail: ignaciolagosruiz@gmail.com\n- Prefers direct responses, no filler\n- Prefers text by default, audio only when asked\n- Uses YouTube Music, not Spotify\n- No Apple devices\n- For scraping Argentine retailers: may need exit node via `tailscale set --exit-node=pixel-6a`\n\n## Scraping Exit Node\n\nWhen scraping Argentine sites (Coto, Carrefour, Día, Disco, Jumbo):\n```bash\ntailscale set --exit-node=pixel-6a # enable before scraping\ntailscale set --exit-node='' # disable after\n```\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [96% — 2,128/2,200 chars]\n══════════════════════════════════════════════\nStartup: 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.\n§\nBaby checklist: https://miopenclaw-vnic.tail9799d2.ts.net/preview/baby-checklist/ (~/baby-checklist/, port 3006, Tailscale Funnel). Chicho+Tina sync.\n§\nHealth 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.\n§\n2026-04-04: 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.\n§\nHermes WebUI: session deletion permanent. Code survives as git changes in ~/hermes-webui/. Session JSONs gone.\n§\nChicho: 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.\n§\nFitness: Jeff Min-Max en Hevy; respetar orden fuente, actualizar rutinas existentes, calibrar pesos/RIR desde logs y mantener sustituciones reales del gym.\n§\nSportClub 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.\n§\nChicho sometimes needs friendly technical German explanations to send to Tina, especially for home-improvement decisions.\n§\nTina'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.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [97% — 1,345/1,375 chars]\n══════════════════════════════════════════════\n_Learn about the person you're helping. Update this as you go._\n§\n**Name:** Ignacio (Igna, also goes by Chicho)\n§\n**What to call them:** Igna or Chicho\n§\n**Pronouns:** _(not specified)_\n§\n**Timezone:** UTC-3 (Buenos Aires, Argentina)\n§\n**Notes:**\n§\nNo Apple; likes Apple web/glass. Electrical DIY: plug-play 220V kits, no wiring.\n§\nPrefiere YouTube Music (no Spotify)\n§\nPrefiere Asana sobre Trello\n§\nPrefiere respuestas en texto por defecto (para ahorrar tokens de ElevenLabs)\n§\nAudio solo cuando él lo pida explícitamente\n§\nPrefiere brevedad. APIs: docs/OpenAPI+ejemplos válidos antes de probar; cero falsa procedencia.\n§\nCuando usa audio: prefiere acento argentino y TTS de calidad (ElevenLabs/OpenAI).\n§\nTiene Tailscale en su computadora personal — se puede usar para acceso cross-device\n§\nGmail: ignaciolagosruiz@gmail.com (gog configurado, read-only)\n§\nNo quiere que Pipo interactúe con otras personas vía WhatsApp/mensajería (por ahora)\n§\nVive en Argentina — scraping de sitios locales puede necesitar exit node argentino (Pixel 6a via Tailscale)\n§\nAPIs: DeepSeek/Kimi/Mistral/OpenRouter/ClawRouter; DeepSeek/Kimi solo workers. Codex gate si lo pide; usar low/mid. Health: quiere dashboard unificado, explicable y confiable.\n§\nDog: Chivi. Likes Palermo/Colegiales parks. Tina likes Sushi Time Poke pollo crispy: arroz sushi, palta, nachos.\n\n# Honcho Memory\nActive (hybrid mode). Relevant context is auto-injected AND memory tools are available. Use honcho_profile for a quick factual snapshot, honcho_search for raw excerpts, honcho_context for raw peer context, honcho_reasoning for synthesized answers (pass reasoning_level minimal/low/medium/high/max — you pick the depth per call), honcho_conclude to save facts about the user.\n\nConversation started: Tuesday, May 19, 2026\nModel: gpt-5.5\nProvider: openai-codex", "tools": [ { "type": "function", "function": { "name": "browser_back", "description": "Navigate back to the previous page in browser history. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": {} } } }, { "type": "function", "function": { "name": "browser_cdp", "description": "Send a raw Chrome DevTools Protocol (CDP) command. Escape hatch for browser operations not covered by browser_navigate, browser_click, browser_console, etc.\n\n**Requires a reachable CDP endpoint.** Available when the user has run '/browser connect' to attach to a running Chrome, or when 'browser.cdp_url' is set in config.yaml. Not currently wired up for cloud backends (Browserbase, Browser Use, Firecrawl) — those expose CDP per session but live-session routing is a follow-up. Camofox is REST-only and will never support CDP. If the tool is in your toolset at all, a CDP endpoint is already reachable.\n\n**CDP method reference:** https://chromedevtools.github.io/devtools-protocol/ — use web_extract on a method's URL (e.g. '/tot/Page/#method-handleJavaScriptDialog') to look up parameters and return shape.\n\n**Common patterns:**\n- List tabs: method='Target.getTargets', params={}\n- Handle a native JS dialog: method='Page.handleJavaScriptDialog', params={'accept': true, 'promptText': ''}, target_id=\n- Get all cookies: method='Network.getAllCookies', params={}\n- Eval in a specific tab: method='Runtime.evaluate', params={'expression': '...', 'returnByValue': true}, target_id=\n- Set viewport for a tab: method='Emulation.setDeviceMetricsOverride', params={'width': 1280, 'height': 720, 'deviceScaleFactor': 1, 'mobile': false}, target_id=\n\n**Usage rules:**\n- Browser-level methods (Target.*, Browser.*, Storage.*): omit target_id and frame_id.\n- Page-level methods (Page.*, Runtime.*, DOM.*, Emulation.*, Network.* scoped to a tab): pass target_id from Target.getTargets.\n- **Cross-origin iframe scope** (Runtime.evaluate inside an OOPIF, Page.* targeting a frame target, etc.): pass frame_id from the browser_snapshot frame_tree output. This routes through the CDP supervisor's live connection — the only reliable way on Browserbase where stateless CDP calls hit signed-URL expiry.\n- Each stateless call (without frame_id) is independent — sessions and event subscriptions do not persist between calls. For stateful workflows, prefer the dedicated browser tools or use frame_id routing.", "parameters": { "type": "object", "properties": { "method": { "type": "string", "description": "CDP method name, e.g. 'Target.getTargets', 'Runtime.evaluate', 'Page.handleJavaScriptDialog'." }, "params": { "type": "object", "description": "Method-specific parameters as a JSON object. Omit or pass {} for methods that take no parameters.", "properties": {}, "additionalProperties": true }, "target_id": { "type": "string", "description": "Optional. Target/tab ID from Target.getTargets result (each entry's 'targetId'). Use for page-level methods at the top-level tab scope. Mutually exclusive with frame_id." }, "frame_id": { "type": "string", "description": "Optional. Out-of-process iframe (OOPIF) frame_id from browser_snapshot.frame_tree.children[] where is_oopif=true. When set, routes the call through the CDP supervisor's live session for that iframe. Essential for Runtime.evaluate inside cross-origin iframes, especially on Browserbase where fresh per-call CDP connections can't keep up with signed URL rotation. For same-origin iframes, use parent contentWindow/contentDocument from Runtime.evaluate at the top-level page instead." }, "timeout": { "type": "number", "description": "Timeout in seconds (default 30, max 300).", "default": 30 } }, "required": [ "method" ] } } }, { "type": "function", "function": { "name": "browser_click", "description": "Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser_navigate and browser_snapshot to be called first.", "parameters": { "type": "object", "properties": { "ref": { "type": "string", "description": "The element reference from the snapshot (e.g., '@e5', '@e12')" } }, "required": [ "ref" ] } } }, { "type": "function", "function": { "name": "browser_console", "description": "Get browser console output and JavaScript errors from the current page. Returns console.log/warn/error/info messages and uncaught JS exceptions. Use this to detect silent JavaScript errors, failed API calls, and application warnings. Requires browser_navigate to be called first. When 'expression' is provided, evaluates JavaScript in the page context and returns the result — use this for DOM inspection, reading page state, or extracting data programmatically.", "parameters": { "type": "object", "properties": { "clear": { "type": "boolean", "default": false, "description": "If true, clear the message buffers after reading" }, "expression": { "type": "string", "description": "JavaScript expression to evaluate in the page context. Runs in the browser like DevTools console — full access to DOM, window, document. Return values are serialized to JSON. Example: 'document.title' or 'document.querySelectorAll(\"a\").length'" } } } } }, { "type": "function", "function": { "name": "browser_dialog", "description": "Respond to a native JavaScript dialog (alert / confirm / prompt / beforeunload) that is currently blocking the page.\n\n**Workflow:** call ``browser_snapshot`` first — if a dialog is open, it appears in the ``pending_dialogs`` field with ``id``, ``type``, and ``message``. Then call this tool with ``action='accept'`` or ``action='dismiss'``.\n\n**Prompt dialogs:** pass ``prompt_text`` to supply the response string. Ignored for alert/confirm/beforeunload.\n\n**Multiple dialogs:** if more than one dialog is queued (rare — happens when a second dialog fires while the first is still open), pass ``dialog_id`` from the snapshot to disambiguate.\n\n**Availability:** only present when a CDP-capable backend is attached — Browserbase sessions, local Chrome via ``/browser connect``, or ``browser.cdp_url`` in config.yaml. Not available on Camofox (REST-only) or the default Playwright local browser (CDP port is hidden).", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "accept", "dismiss" ], "description": "'accept' clicks OK / returns the prompt text. 'dismiss' clicks Cancel / returns null from prompt(). For ``beforeunload`` dialogs: 'accept' allows the navigation, 'dismiss' keeps the page." }, "prompt_text": { "type": "string", "description": "Response string for a ``prompt()`` dialog. Ignored for other dialog types. Defaults to empty string." }, "dialog_id": { "type": "string", "description": "Specific dialog to respond to, from ``browser_snapshot.pending_dialogs[].id``. Required only when multiple dialogs are queued." } }, "required": [ "action" ] } } }, { "type": "function", "function": { "name": "browser_get_images", "description": "Get a list of all images on the current page with their URLs and alt text. Useful for finding images to analyze with the vision tool. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": {} } } }, { "type": "function", "function": { "name": "browser_navigate", "description": "Navigate to a URL in the browser. Initializes the session and loads the page. Must be called before other browser tools. For simple information retrieval, prefer web_search or web_extract (faster, cheaper). For plain-text endpoints — URLs ending in .md, .txt, .json, .yaml, .yml, .csv, .xml, raw.githubusercontent.com, or any documented API endpoint — prefer curl via the terminal tool or web_extract; the browser stack is overkill and much slower for these. Use browser tools when you need to interact with a page (click, fill forms, dynamic content). Returns a compact page snapshot with interactive elements and ref IDs — no need to call browser_snapshot separately after navigating.", "parameters": { "type": "object", "properties": { "url": { "type": "string", "description": "The URL to navigate to (e.g., 'https://example.com')" } }, "required": [ "url" ] } } }, { "type": "function", "function": { "name": "browser_press", "description": "Press a keyboard key. Useful for submitting forms (Enter), navigating (Tab), or keyboard shortcuts. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": { "key": { "type": "string", "description": "Key to press (e.g., 'Enter', 'Tab', 'Escape', 'ArrowDown')" } }, "required": [ "key" ] } } }, { "type": "function", "function": { "name": "browser_scroll", "description": "Scroll the page in a direction. Use this to reveal more content that may be below or above the current viewport. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": { "direction": { "type": "string", "enum": [ "up", "down" ], "description": "Direction to scroll" } }, "required": [ "direction" ] } } }, { "type": "function", "function": { "name": "browser_snapshot", "description": "Get a text-based snapshot of the current page's accessibility tree. Returns interactive elements with ref IDs (like @e1, @e2) for browser_click and browser_type. full=false (default): compact view with interactive elements. full=true: complete page content. Snapshots over 8000 chars are truncated or LLM-summarized. Requires browser_navigate first. Note: browser_navigate already returns a compact snapshot — use this to refresh after interactions that change the page, or with full=true for complete content.", "parameters": { "type": "object", "properties": { "full": { "type": "boolean", "description": "If true, returns complete page content. If false (default), returns compact view with interactive elements only.", "default": false } } } } }, { "type": "function", "function": { "name": "browser_type", "description": "Type text into an input field identified by its ref ID. Clears the field first, then types the new text. Requires browser_navigate and browser_snapshot to be called first.", "parameters": { "type": "object", "properties": { "ref": { "type": "string", "description": "The element reference from the snapshot (e.g., '@e3')" }, "text": { "type": "string", "description": "The text to type into the field" } }, "required": [ "ref", "text" ] } } }, { "type": "function", "function": { "name": "browser_vision", "description": "Take a screenshot of the current page and analyze it with vision AI. Use this when you need to visually understand what's on the page - especially useful for CAPTCHAs, visual verification challenges, complex layouts, or when the text snapshot doesn't capture important visual information. Returns both the AI analysis and a screenshot_path that you can share with the user by including MEDIA: in your response. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": { "question": { "type": "string", "description": "What you want to know about the page visually. Be specific about what you're looking for." }, "annotate": { "type": "boolean", "default": false, "description": "If true, overlay numbered [N] labels on interactive elements. Each [N] maps to ref @eN for subsequent browser commands. Useful for QA and spatial reasoning about page layout." } }, "required": [ "question" ] } } }, { "type": "function", "function": { "name": "clarify", "description": "Ask the user a question when you need clarification, feedback, or a decision before proceeding. Supports two modes:\n\n1. **Multiple choice** — provide up to 4 choices. The user picks one or types their own answer via a 5th 'Other' option.\n2. **Open-ended** — omit choices entirely. The user types a free-form response.\n\nUse this tool when:\n- The task is ambiguous and you need the user to choose an approach\n- You want post-task feedback ('How did that work out?')\n- You want to offer to save a skill or update memory\n- A decision has meaningful trade-offs the user should weigh in on\n\nDo NOT use this tool for simple yes/no confirmation of dangerous commands (the terminal tool handles that). Prefer making a reasonable default choice yourself when the decision is low-stakes.", "parameters": { "type": "object", "properties": { "question": { "type": "string", "description": "The question to present to the user." }, "choices": { "type": "array", "items": { "type": "string" }, "maxItems": 4, "description": "Up to 4 answer choices. Omit this parameter entirely to ask an open-ended question. When provided, the UI automatically appends an 'Other (type your answer)' option." } }, "required": [ "question" ] } } }, { "type": "function", "function": { "name": "cronjob", "description": "Manage scheduled cron jobs with a single compressed tool.\n\nUse action='create' to schedule a new job from a prompt or one or more skills.\nUse action='list' to inspect jobs.\nUse action='update', 'pause', 'resume', 'remove', or 'run' to manage an existing job.\n\nTo stop a job the user no longer wants: first action='list' to find the job_id, then action='remove' with that job_id. Never guess job IDs — always list first.\n\nJobs run in a fresh session with no current-chat context, so prompts must be self-contained.\nIf skills are provided on create, the future cron run loads those skills in order, then follows the prompt as the task instruction.\nOn update, passing skills=[] clears attached skills.\n\nNOTE: The agent's final response is auto-delivered to the target. Put the primary\nuser-facing content in the final response. Cron jobs run autonomously with no user\npresent — they cannot ask questions or request clarification.\n\nImportant safety rule: cron-run sessions should not recursively schedule more cron jobs.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "description": "One of: create, list, update, pause, resume, remove, run" }, "job_id": { "type": "string", "description": "Required for update/pause/resume/remove/run" }, "prompt": { "type": "string", "description": "For create: the full self-contained prompt. If skills are also provided, this becomes the task instruction paired with those skills." }, "schedule": { "type": "string", "description": "For create/update: '30m', 'every 2h', '0 9 * * *', or ISO timestamp" }, "name": { "type": "string", "description": "Optional human-friendly name" }, "repeat": { "type": "integer", "description": "Optional repeat count. Omit for defaults (once for one-shot, forever for recurring)." }, "deliver": { "type": "string", "description": "Omit this parameter to auto-deliver back to the current chat and topic (recommended). Auto-detection preserves thread/topic context. Only set explicitly when the user asks to deliver somewhere OTHER than the current conversation. Values: 'origin' (same as omitting), 'local' (no delivery, save only), 'all' (fan out to every connected home channel), or platform:chat_id:thread_id for a specific destination. Combine with comma: 'origin,all' delivers to the origin plus every other connected channel. Examples: 'telegram:-1001234567890:17585', 'discord:#engineering', 'sms:+15551234567', 'all'. WARNING: 'platform:chat_id' without :thread_id loses topic targeting. 'all' resolves at fire time, so a job created before a channel was wired up will pick it up automatically once connected." }, "skills": { "type": "array", "items": { "type": "string" }, "description": "Optional ordered list of skill names to load before executing the cron prompt. On update, pass an empty array to clear attached skills." }, "model": { "type": "object", "description": "Optional per-job model override. If provider is omitted, the current main provider is pinned at creation time so the job stays stable.", "properties": { "provider": { "type": "string", "description": "Provider name (e.g. 'openrouter', 'anthropic', or 'custom:' for a provider defined in custom_providers config — always include the ':' suffix, never pass the bare 'custom'). Omit to use and pin the current provider." }, "model": { "type": "string", "description": "Model name (e.g. 'anthropic/claude-sonnet-4', 'claude-sonnet-4')" } }, "required": [ "model" ] }, "script": { "type": "string", "description": "Optional path to a script that runs each tick. In the default mode its stdout is injected into the agent's prompt as context (data-collection / change-detection pattern). With no_agent=True, the script IS the job and its stdout is delivered verbatim (classic watchdog pattern). Relative paths resolve under ~/.hermes/scripts/. ``.sh``/``.bash`` extensions run via bash, everything else via Python. On update, pass empty string to clear." }, "no_agent": { "type": "boolean", "default": false, "description": "Default: False (LLM-driven job — the agent runs the prompt each tick). Set True to skip the LLM entirely: the scheduler just runs ``script`` on schedule and delivers its stdout verbatim. No tokens, no agent loop, no model override honoured. \n\nREQUIREMENTS when True: ``script`` MUST be set (``prompt`` and ``skills`` are ignored). \n\nDELIVERY SEMANTICS when True: (a) non-empty stdout is sent verbatim as the message; (b) EMPTY stdout means SILENT — nothing is sent to the user and they won't see anything happened, so design your script to stay quiet when there's nothing to report (the watchdog pattern); (c) non-zero exit / timeout sends an error alert so a broken watchdog can't fail silently. \n\nWHEN TO USE True: recurring script-only pings where the script itself produces the exact message text (memory/disk/GPU watchdogs, threshold alerts, heartbeats, CI notifications, API pollers with a fixed output shape). WHEN TO USE False (default): anything that needs reasoning — summarize a feed, draft a daily briefing, pick interesting items, rephrase data for a human, follow conditional logic based on content." }, "context_from": { "type": "array", "items": { "type": "string" }, "description": "Optional job ID or list of job IDs whose most recent completed output is injected into the prompt as context before each run. Use this to chain cron jobs: job A collects data, job B processes it. Each entry must be a valid job ID (from cronjob action='list'). Note: injects the most recent completed output — does not wait for upstream jobs running in the same tick. On update, pass an empty array to clear." }, "enabled_toolsets": { "type": "array", "items": { "type": "string" }, "description": "Optional list of toolset names to restrict the job's agent to (e.g. [\"web\", \"terminal\", \"file\", \"delegation\"]). When set, only tools from these toolsets are loaded, significantly reducing input token overhead. When omitted, all default tools are loaded. Infer from the job's prompt — e.g. use \"web\" if it calls web_search, \"terminal\" if it runs scripts, \"file\" if it reads files, \"delegation\" if it calls delegate_task. On update, pass an empty array to clear." }, "workdir": { "type": "string", "description": "Optional absolute path to run the job from. When set, AGENTS.md / CLAUDE.md / .cursorrules from that directory are injected into the system prompt, and the terminal/file/code_exec tools use it as their working directory — useful for running a job inside a specific project repo. Must be an absolute path that exists. When unset (default), preserves the original behaviour: no project context files, tools use the scheduler's cwd. On update, pass an empty string to clear. Jobs with workdir run sequentially (not parallel) to keep per-job directories isolated." }, "profile": { "type": "string", "description": "Optional Hermes profile name to run the job under. When set, the scheduler resolves that profile, applies a context-local Hermes home override, loads that profile's config/.env for the run, and bridges HERMES_HOME into subprocesses. Any temporary process-environment changes from profile .env loading are restored after the job exits. Use 'default' for the root Hermes profile. Named profiles must already exist. When unset (default), preserves the scheduler's existing profile. On update, pass an empty string to clear. Jobs with profile run sequentially (not parallel) to keep profile-scoped runtime state isolated." } }, "required": [ "action" ] } } }, { "type": "function", "function": { "name": "delegate_task", "description": "Spawn one or more subagents to work on tasks in isolated contexts. Each subagent gets its own conversation, terminal session, and toolset. Only the final summary is returned -- intermediate tool results never enter your context window.\n\nTWO MODES (one of 'goal' or 'tasks' is required):\n1. Single task: provide 'goal' (+ optional context, toolsets)\n2. Batch (parallel): provide 'tasks' array with up to 3 items concurrently for this user (configured via delegation.max_concurrent_children in config.yaml). All run in parallel and results are returned together. Nested delegation is OFF for this user (max_spawn_depth=1): every child is a leaf and cannot delegate further. Raise delegation.max_spawn_depth in config.yaml to enable nesting.\n\nWHEN TO USE delegate_task:\n- Reasoning-heavy subtasks (debugging, code review, research synthesis)\n- Tasks that would flood your context with intermediate data\n- Parallel independent workstreams (research A and B simultaneously)\n\nWHEN NOT TO USE (use these instead):\n- Mechanical multi-step work with no reasoning needed -> use execute_code\n- Single tool call -> just call the tool directly\n- Tasks needing user interaction -> subagents cannot use clarify\n- Durable long-running work that must outlive the current turn -> use cronjob (action='create') or terminal(background=True, notify_on_complete=True) instead. delegate_task runs SYNCHRONOUSLY inside the parent turn: if the parent is interrupted (user sends a new message, /stop, /new) the child is cancelled with status='interrupted' and its work is discarded. Children cannot continue in the background.\n\nIMPORTANT:\n- Subagents have NO memory of your conversation. Pass all relevant info (file paths, error messages, constraints) via the 'context' field.\n- If the user is writing in a non-English language, or asked for output in a specific language / tone / style, say so in 'context' (e.g. \"respond in Chinese\", \"return output in Japanese\"). Otherwise subagents default to English and their summaries will contaminate your final reply with the wrong language.\n- Subagent summaries are SELF-REPORTS, not verified facts. A subagent that claims \"uploaded successfully\" or \"file written\" may be wrong. For operations with external side-effects (HTTP POST/PUT, remote writes, file creation at shared paths, publishing), require the subagent to return a verifiable handle (URL, ID, absolute path, HTTP status) and verify it yourself — fetch the URL, stat the file, read back the content — before telling the user the operation succeeded.\n- Leaf subagents (role='leaf', the default) CANNOT call: delegate_task, clarify, memory, send_message, execute_code.\n- Orchestrator subagents (role='orchestrator') retain delegate_task so they can spawn their own workers, but still cannot use clarify, memory, send_message, or execute_code. Orchestrators are bounded by max_spawn_depth=1 for this user and can be disabled globally via delegation.orchestrator_enabled=false.\n- Each subagent gets its own terminal session (separate working directory and state).\n- Results are always returned as an array, one entry per task.", "parameters": { "type": "object", "properties": { "goal": { "type": "string", "description": "What the subagent should accomplish. Be specific and self-contained -- the subagent knows nothing about your conversation history." }, "context": { "type": "string", "description": "Background information the subagent needs: file paths, error messages, project structure, constraints. The more specific you are, the better the subagent performs." }, "toolsets": { "type": "array", "items": { "type": "string" }, "description": "Toolsets to enable for this subagent. Default: inherits your enabled toolsets. Available toolsets: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'video_gen', 'vision', 'web', 'x_search', 'yuanbao'. Common patterns: ['terminal', 'file'] for code work, ['web'] for research, ['browser'] for web interaction, ['terminal', 'file', 'web'] for full-stack tasks." }, "tasks": { "type": "array", "items": { "type": "object", "properties": { "goal": { "type": "string", "description": "Task goal" }, "context": { "type": "string", "description": "Task-specific context" }, "toolsets": { "type": "array", "items": { "type": "string" }, "description": "Toolsets for this specific task. Available: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'video_gen', 'vision', 'web', 'x_search', 'yuanbao'. Use 'web' for network access, 'terminal' for shell, 'browser' for web interaction." }, "acp_command": { "type": "string", "description": "Per-task ACP command override (e.g. 'copilot'). Overrides the top-level acp_command for this task only. Do NOT set unless the user explicitly told you an ACP CLI is installed." }, "acp_args": { "type": "array", "items": { "type": "string" }, "description": "Per-task ACP args override. Leave empty unless acp_command is set." }, "role": { "type": "string", "enum": [ "leaf", "orchestrator" ], "description": "Per-task role override. See top-level 'role' for semantics." } }, "required": [ "goal" ] }, "description": "Batch mode: tasks to run in parallel (up to 3 for this user, set via delegation.max_concurrent_children). Each gets its own subagent with isolated context and terminal session. When provided, top-level goal/context/toolsets are ignored." }, "role": { "type": "string", "enum": [ "leaf", "orchestrator" ], "description": "Role of the child agent. 'leaf' (default) = focused worker, cannot delegate further. 'orchestrator' = can use delegate_task to spawn its own workers. Nesting is OFF for this user (max_spawn_depth=1); 'orchestrator' is silently forced to 'leaf'. Raise delegation.max_spawn_depth in config.yaml to enable." }, "acp_command": { "type": "string", "description": "Override ACP command for child agents (e.g. 'copilot'). When set, children use ACP subprocess transport instead of inheriting the parent's transport. Requires an ACP-compatible CLI (currently GitHub Copilot CLI via 'copilot --acp --stdio'). See agent/copilot_acp_client.py for the implementation. IMPORTANT: Do NOT set this unless the user has explicitly told you a specific ACP-compatible CLI is installed and configured. Leave empty to use the parent's default transport (Hermes subagents)." }, "acp_args": { "type": "array", "items": { "type": "string" }, "description": "Arguments for the ACP command (default: ['--acp', '--stdio']). Only used when acp_command is set. Leave empty unless acp_command is explicitly provided." } } } } }, { "type": "function", "function": { "name": "discord", "description": "Read and participate in a Discord server.\n\nAvailable actions:\n search_members(guild_id, query) — find members by name prefix\n fetch_messages(channel_id) — recent messages; optional before/after snowflakes\n create_thread(channel_id, name) — create a public thread; optional message_id anchor\n\nUse the channel_id from the current conversation context. Use search_members to look up user IDs by name prefix.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "search_members", "fetch_messages", "create_thread" ] }, "guild_id": { "type": "string", "description": "Discord server (guild) ID." }, "channel_id": { "type": "string", "description": "Discord channel ID." }, "user_id": { "type": "string", "description": "Discord user ID." }, "role_id": { "type": "string", "description": "Discord role ID." }, "message_id": { "type": "string", "description": "Discord message ID." }, "query": { "type": "string", "description": "Member name prefix to search for (search_members)." }, "name": { "type": "string", "description": "New thread name (create_thread)." }, "limit": { "type": "integer", "minimum": 1, "maximum": 100, "description": "Max results (default 50). Applies to fetch_messages, search_members." }, "before": { "type": "string", "description": "Snowflake ID for reverse pagination (fetch_messages)." }, "after": { "type": "string", "description": "Snowflake ID for forward pagination (fetch_messages)." }, "auto_archive_duration": { "type": "integer", "enum": [ 60, 1440, 4320, 10080 ], "description": "Thread archive duration in minutes (create_thread, default 1440)." } }, "required": [ "action" ] } } }, { "type": "function", "function": { "name": "discord_admin", "description": "Manage a Discord server via the REST API.\n\nAvailable actions:\n list_guilds() — list servers the bot is in\n server_info(guild_id) — server details + member counts\n list_channels(guild_id) — all channels grouped by category\n channel_info(channel_id) — single channel details\n list_roles(guild_id) — roles sorted by position\n member_info(guild_id, user_id) — lookup a specific member\n list_pins(channel_id) — pinned messages in a channel\n pin_message(channel_id, message_id) — pin a message\n unpin_message(channel_id, message_id) — unpin a message\n delete_message(channel_id, message_id) — delete a message\n add_role(guild_id, user_id, role_id) — assign a role\n remove_role(guild_id, user_id, role_id) — remove a role\n\nCall list_guilds first to discover guild_ids, then list_channels for channel_ids. Runtime errors will tell you if the bot lacks a specific per-guild permission (e.g. MANAGE_ROLES for add_role).", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "list_guilds", "server_info", "list_channels", "channel_info", "list_roles", "member_info", "list_pins", "pin_message", "unpin_message", "delete_message", "add_role", "remove_role" ] }, "guild_id": { "type": "string", "description": "Discord server (guild) ID." }, "channel_id": { "type": "string", "description": "Discord channel ID." }, "user_id": { "type": "string", "description": "Discord user ID." }, "role_id": { "type": "string", "description": "Discord role ID." }, "message_id": { "type": "string", "description": "Discord message ID." }, "query": { "type": "string", "description": "Member name prefix to search for (search_members)." }, "name": { "type": "string", "description": "New thread name (create_thread)." }, "limit": { "type": "integer", "minimum": 1, "maximum": 100, "description": "Max results (default 50). Applies to fetch_messages, search_members." }, "before": { "type": "string", "description": "Snowflake ID for reverse pagination (fetch_messages)." }, "after": { "type": "string", "description": "Snowflake ID for forward pagination (fetch_messages)." }, "auto_archive_duration": { "type": "integer", "enum": [ 60, 1440, 4320, 10080 ], "description": "Thread archive duration in minutes (create_thread, default 1440)." } }, "required": [ "action" ] } } }, { "type": "function", "function": { "name": "execute_code", "description": "Run a Python script that can call Hermes tools programmatically. Use this when you need 3+ tool calls with processing logic between them, need to filter/reduce large tool outputs before they enter your context, need conditional branching (if X then Y else Z), or need to loop (fetch N pages, process N files, retry on failure).\n\nUse normal tool calls instead when: single tool call with no processing, you need to see the full result and apply complex reasoning, or the task requires interactive user input.\n\nAvailable via `from hermes_tools import ...`:\n\n web_search(query: str, limit: int = 5) -> dict\n Returns {\"data\": {\"web\": [{\"url\", \"title\", \"description\"}, ...]}}\n web_extract(urls: list[str]) -> dict\n Returns {\"results\": [{\"url\", \"title\", \"content\", \"error\"}, ...]} where content is markdown\n read_file(path: str, offset: int = 1, limit: int = 500) -> dict\n Lines are 1-indexed. Returns {\"content\": \"...\", \"total_lines\": N}\n write_file(path: str, content: str) -> dict\n Always overwrites the entire file.\n search_files(pattern: str, target=\"content\", path=\".\", file_glob=None, limit=50) -> dict\n target: \"content\" (search inside files) or \"files\" (find files by name). Returns {\"matches\": [...]}\n patch(path: str, old_string: str, new_string: str, replace_all: bool = False) -> dict\n Replaces old_string with new_string in the file.\n terminal(command: str, timeout=None, workdir=None) -> dict\n Foreground only (no background/pty). Returns {\"output\": \"...\", \"exit_code\": N}\n\nLimits: 5-minute timeout, 50KB stdout cap, max 50 tool calls per script. terminal() is foreground-only (no background or pty).\n\nScripts run in the session's working directory with the active venv's python, so project deps (pandas, etc.) and relative paths work like in terminal().\n\nPrint your final result to stdout. Use Python stdlib (json, re, math, csv, datetime, collections, etc.) for processing between tool calls.\n\nAlso available (no import needed — built into hermes_tools):\n json_parse(text: str) — json.loads with strict=False; use for terminal() output with control chars\n shell_quote(s: str) — shlex.quote(); use when interpolating dynamic strings into shell commands\n retry(fn, max_attempts=3, delay=2) — retry with exponential backoff for transient failures", "parameters": { "type": "object", "properties": { "code": { "type": "string", "description": "Python code to execute. Import tools with `from hermes_tools import web_search, terminal, ...` and print your final result to stdout." } }, "required": [ "code" ] } } }, { "type": "function", "function": { "name": "feishu_doc_read", "description": "Read the full content of a Feishu/Lark document as plain text. Useful when you need more context beyond the quoted text in a comment.", "parameters": { "type": "object", "properties": { "doc_token": { "type": "string", "description": "The document token (from the document URL or comment context)." } }, "required": [ "doc_token" ] } } }, { "type": "function", "function": { "name": "feishu_drive_add_comment", "description": "Add a new whole-document comment on a Feishu document. Use this for whole-document comments or as a fallback when reply_comment fails with code 1069302.", "parameters": { "type": "object", "properties": { "file_token": { "type": "string", "description": "The document file token." }, "content": { "type": "string", "description": "The comment text content (plain text only, no markdown)." }, "file_type": { "type": "string", "description": "File type (default: docx).", "default": "docx" } }, "required": [ "file_token", "content" ] } } }, { "type": "function", "function": { "name": "feishu_drive_list_comment_replies", "description": "List all replies in a comment thread on a Feishu document.", "parameters": { "type": "object", "properties": { "file_token": { "type": "string", "description": "The document file token." }, "comment_id": { "type": "string", "description": "The comment ID to list replies for." }, "file_type": { "type": "string", "description": "File type (default: docx).", "default": "docx" }, "page_size": { "type": "integer", "description": "Number of replies per page (max 100).", "default": 100 }, "page_token": { "type": "string", "description": "Pagination token for next page." } }, "required": [ "file_token", "comment_id" ] } } }, { "type": "function", "function": { "name": "feishu_drive_list_comments", "description": "List comments on a Feishu document. Use is_whole=true to list whole-document comments only.", "parameters": { "type": "object", "properties": { "file_token": { "type": "string", "description": "The document file token." }, "file_type": { "type": "string", "description": "File type (default: docx).", "default": "docx" }, "is_whole": { "type": "boolean", "description": "If true, only return whole-document comments.", "default": false }, "page_size": { "type": "integer", "description": "Number of comments per page (max 100).", "default": 100 }, "page_token": { "type": "string", "description": "Pagination token for next page." } }, "required": [ "file_token" ] } } }, { "type": "function", "function": { "name": "feishu_drive_reply_comment", "description": "Reply to a local comment thread on a Feishu document. Use this for local (quoted-text) comments. For whole-document comments, use feishu_drive_add_comment instead.", "parameters": { "type": "object", "properties": { "file_token": { "type": "string", "description": "The document file token." }, "comment_id": { "type": "string", "description": "The comment ID to reply to." }, "content": { "type": "string", "description": "The reply text content (plain text only, no markdown)." }, "file_type": { "type": "string", "description": "File type (default: docx).", "default": "docx" } }, "required": [ "file_token", "comment_id", "content" ] } } }, { "type": "function", "function": { "name": "image_generate", "description": "Generate high-quality images from text prompts. The underlying backend (FAL, OpenAI, etc.) and model are user-configured and not selectable by the agent. Returns either a URL or an absolute file path in the `image` field; display it with markdown ![description](url-or-path) and the gateway will deliver it.", "parameters": { "type": "object", "properties": { "prompt": { "type": "string", "description": "The text prompt describing the desired image. Be detailed and descriptive." }, "aspect_ratio": { "type": "string", "enum": [ "landscape", "square", "portrait" ], "description": "The aspect ratio of the generated image. 'landscape' is 16:9 wide, 'portrait' is 16:9 tall, 'square' is 1:1.", "default": "landscape" } }, "required": [ "prompt" ] } } }, { "type": "function", "function": { "name": "mcp_context7_query_docs", "description": "Retrieves and queries up-to-date documentation and code examples from Context7 for any programming library or framework.\n\nYou must call 'Resolve Context7 Library ID' tool first to obtain the exact Context7-compatible library ID required to use this tool, UNLESS the user explicitly provides a library ID in the format '/org/project' or '/org/project/version' in their query.\n\nDo not call this tool more than 3 times per question.", "parameters": { "$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": { "libraryId": { "type": "string", "description": "Exact Context7-compatible library ID (e.g., '/mongodb/docs', '/vercel/next.js', '/supabase/supabase', '/vercel/next.js/v14.3.0-canary.87') retrieved from 'resolve-library-id' or directly from user query in the format '/org/project' or '/org/project/version'." }, "query": { "type": "string", "description": "The question or task you need help with. Be specific and include relevant details. Good: 'How to set up authentication with JWT in Express.js' or 'React useEffect cleanup function examples'. Bad: 'auth' or 'hooks'. The query is sent to the Context7 API for processing. Do not include any sensitive or confidential information such as API keys, passwords, credentials, personal data, or proprietary code in your query." } }, "required": [ "libraryId", "query" ] } } }, { "type": "function", "function": { "name": "mcp_context7_resolve_library_id", "description": "Resolves a package/product name to a Context7-compatible library ID and returns matching libraries.\n\nYou MUST call this function before 'Query Documentation' tool to obtain a valid Context7-compatible library ID UNLESS the user explicitly provides a library ID in the format '/org/project' or '/org/project/version' in their query.\n\nEach result includes:\n- Library ID: Context7-compatible identifier (format: /org/project)\n- Name: Library or package name\n- Description: Short summary\n- Code Snippets: Number of available code examples\n- Source Reputation: Authority indicator (High, Medium, Low, or Unknown)\n- Benchmark Score: Quality indicator (100 is the highest score)\n- Versions: List of versions if available. Use one of those versions if the user provides a version in their query. The format of the version is /org/project/version.\n\nFor best results, select libraries based on name match, source reputation, snippet coverage, benchmark score, and relevance to your use case.\n\nSelection Process:\n1. Analyze the query to understand what library/package the user is looking for\n2. Return the most relevant match based on:\n- Name similarity to the query (exact matches prioritized)\n- Description relevance to the query's intent\n- Documentation coverage (prioritize libraries with higher Code Snippet counts)\n- Source reputation (consider libraries with High or Medium reputation more authoritative)\n- Benchmark Score: Quality indicator (100 is the highest score)\n\nResponse Format:\n- Return the selected library ID in a clearly marked section\n- Provide a brief explanation for why this library was chosen\n- If multiple good matches exist, acknowledge this but proceed with the most relevant one\n- If no good matches exist, clearly state this and suggest query refinements\n\nFor ambiguous queries, request clarification before proceeding with a best-guess match.\n\nIMPORTANT: Do not call this tool more than 3 times per question. If you cannot find what you need after 3 calls, use the best result you have.", "parameters": { "$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": { "query": { "type": "string", "description": "The question or task you need help with. This is used to rank library results by relevance to what the user is trying to accomplish. The query is sent to the Context7 API for processing. Do not include any sensitive or confidential information such as API keys, passwords, credentials, personal data, or proprietary code in your query." }, "libraryName": { "type": "string", "description": "Library name to search for and retrieve a Context7-compatible library ID. Use the official library name with proper punctuation — e.g., 'Next.js' instead of 'nextjs', 'Customer.io' instead of 'customerio', 'Three.js' instead of 'threejs'." } }, "required": [ "query", "libraryName" ] } } }, { "type": "function", "function": { "name": "memory", "description": "Save durable information to persistent memory that survives across sessions. Memory is injected into future turns, so keep it compact and focused on facts that will still matter later.\n\nWHEN TO SAVE (do this proactively, don't wait to be asked):\n- User corrects you or says 'remember this' / 'don't do that again'\n- User shares a preference, habit, or personal detail (name, role, timezone, coding style)\n- You discover something about the environment (OS, installed tools, project structure)\n- You learn a convention, API quirk, or workflow specific to this user's setup\n- You identify a stable fact that will be useful again in future sessions\n\nPRIORITY: User preferences and corrections > environment facts > procedural knowledge. The most valuable memory prevents the user from having to repeat themselves.\n\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts.\nIf you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\n\nTWO TARGETS:\n- 'user': who the user is -- name, role, preferences, communication style, pet peeves\n- 'memory': your notes -- environment facts, project conventions, tool quirks, lessons learned\n\nACTIONS: add (new entry), replace (update existing -- old_text identifies it), remove (delete -- old_text identifies it).\n\nSKIP: trivial/obvious info, things easily re-discovered, raw data dumps, and temporary task state.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "add", "replace", "remove" ], "description": "The action to perform." }, "target": { "type": "string", "enum": [ "memory", "user" ], "description": "Which memory store: 'memory' for personal notes, 'user' for user profile." }, "content": { "type": "string", "description": "The entry content. Required for 'add' and 'replace'." }, "old_text": { "type": "string", "description": "Short unique substring identifying the entry to replace or remove." } }, "required": [ "action", "target" ] } } }, { "type": "function", "function": { "name": "mixture_of_agents", "description": "Route a hard problem through multiple frontier LLMs collaboratively. Makes 5 API calls (4 reference models + 1 aggregator) with maximum reasoning effort — use sparingly for genuinely difficult problems. Best for: complex math, advanced algorithms, multi-step analytical reasoning, problems benefiting from diverse perspectives.", "parameters": { "type": "object", "properties": { "user_prompt": { "type": "string", "description": "The complex query or problem to solve using multiple AI models. Should be a challenging problem that benefits from diverse perspectives and collaborative reasoning." } }, "required": [ "user_prompt" ] } } }, { "type": "function", "function": { "name": "patch", "description": "Targeted find-and-replace edits in files. Use this instead of sed/awk in terminal. Uses fuzzy matching (9 strategies) so minor whitespace/indentation differences won't break it. Returns a unified diff. Auto-runs syntax checks after editing.\n\nREPLACE MODE (mode='replace', default): find a unique string and replace it. REQUIRED PARAMETERS: mode, path, old_string, new_string.\nPATCH MODE (mode='patch'): apply V4A multi-file patches for bulk changes. REQUIRED PARAMETERS: mode, patch.", "parameters": { "type": "object", "properties": { "mode": { "type": "string", "enum": [ "replace", "patch" ], "description": "Edit mode. 'replace' (default): requires path + old_string + new_string. 'patch': requires patch content only.", "default": "replace" }, "path": { "type": "string", "description": "REQUIRED when mode='replace'. File path to edit." }, "old_string": { "type": "string", "description": "REQUIRED when mode='replace'. Exact text to find and replace. Must be unique in the file unless replace_all=true. Include surrounding context lines to ensure uniqueness." }, "new_string": { "type": "string", "description": "REQUIRED when mode='replace'. Replacement text. Pass empty string '' to delete the matched text." }, "replace_all": { "type": "boolean", "description": "Replace all occurrences instead of requiring a unique match (default: false)", "default": false }, "patch": { "type": "string", "description": "REQUIRED when mode='patch'. V4A format patch content. Format:\n*** Begin Patch\n*** Update File: path/to/file\n@@ context hint @@\n context line\n-removed line\n+added line\n*** End Patch" } }, "required": [ "mode" ] } } }, { "type": "function", "function": { "name": "process", "description": "Manage background processes started with terminal(background=true). Actions: 'list' (show all), 'poll' (check status + new output), 'log' (full output with pagination), 'wait' (block until done or timeout), 'kill' (terminate), 'write' (send raw stdin data without newline), 'submit' (send data + Enter, for answering prompts), 'close' (close stdin/send EOF).", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "list", "poll", "log", "wait", "kill", "write", "submit", "close" ], "description": "Action to perform on background processes" }, "session_id": { "type": "string", "description": "Process session ID (from terminal background output). Required for all actions except 'list'." }, "data": { "type": "string", "description": "Text to send to process stdin (for 'write' and 'submit' actions)" }, "timeout": { "type": "integer", "description": "Max seconds to block for 'wait' action. Returns partial output on timeout.", "minimum": 1 }, "offset": { "type": "integer", "description": "Line offset for 'log' action (default: last 200 lines)" }, "limit": { "type": "integer", "description": "Max lines to return for 'log' action", "minimum": 1 } }, "required": [ "action" ] } } }, { "type": "function", "function": { "name": "read_file", "description": "Read a text file with line numbers and pagination. Use this instead of cat/head/tail in terminal. Output format: 'LINE_NUM|CONTENT'. Suggests similar filenames if not found. Use offset and limit for large files. Reads exceeding ~100K characters are rejected; use offset and limit to read specific sections of large files. NOTE: Cannot read images or binary files — use vision_analyze for images.", "parameters": { "type": "object", "properties": { "path": { "type": "string", "description": "Path to the file to read (absolute, relative, or ~/path)" }, "offset": { "type": "integer", "description": "Line number to start reading from (1-indexed, default: 1)", "default": 1, "minimum": 1 }, "limit": { "type": "integer", "description": "Maximum number of lines to read (default: 500, max: 2000)", "default": 500, "maximum": 2000 } }, "required": [ "path" ] } } }, { "type": "function", "function": { "name": "search_files", "description": "Search file contents or find files by name. Use this instead of grep/rg/find/ls in terminal. Ripgrep-backed, faster than shell equivalents.\n\nContent search (target='content'): Regex search inside files. Output modes: full matches with line numbers, file paths only, or match counts.\n\nFile search (target='files'): Find files by glob pattern (e.g., '*.py', '*config*'). Also use this instead of ls — results sorted by modification time.", "parameters": { "type": "object", "properties": { "pattern": { "type": "string", "description": "Regex pattern for content search, or glob pattern (e.g., '*.py') for file search" }, "target": { "type": "string", "enum": [ "content", "files" ], "description": "'content' searches inside file contents, 'files' searches for files by name", "default": "content" }, "path": { "type": "string", "description": "Directory or file to search in (default: current working directory)", "default": "." }, "file_glob": { "type": "string", "description": "Filter files by pattern in grep mode (e.g., '*.py' to only search Python files)" }, "limit": { "type": "integer", "description": "Maximum number of results to return (default: 50)", "default": 50 }, "offset": { "type": "integer", "description": "Skip first N results for pagination (default: 0)", "default": 0 }, "output_mode": { "type": "string", "enum": [ "content", "files_only", "count" ], "description": "Output format for grep mode: 'content' shows matching lines with line numbers, 'files_only' lists file paths, 'count' shows match counts per file", "default": "content" }, "context": { "type": "integer", "description": "Number of context lines before and after each match (grep mode only)", "default": 0 } }, "required": [ "pattern" ] } } }, { "type": "function", "function": { "name": "send_message", "description": "Send a message to a connected messaging platform, or list available targets.\n\nIMPORTANT: When the user asks to send to a specific channel or person (not just a bare platform name), call send_message(action='list') FIRST to see available targets, then send to the correct one.\nIf the user just says a platform name like 'send to telegram', send directly to the home channel without listing first.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "send", "list" ], "description": "Action to perform. 'send' (default) sends a message. 'list' returns all available channels/contacts across connected platforms." }, "target": { "type": "string", "description": "Delivery target. Format: 'platform' (uses home channel), 'platform:#channel-name', 'platform:chat_id', or 'platform:chat_id:thread_id' for Telegram topics and Discord threads. Examples: 'telegram', 'telegram:-1001234567890:17585', 'discord:999888777:555444333', 'discord:#bot-home', 'slack:#engineering', 'signal:+155****4567', 'matrix:!roomid:server.org', 'matrix:@user:server.org', 'yuanbao:direct:' (DM), 'yuanbao:group:' (group chat)" }, "message": { "type": "string", "description": "The message text to send. To send an image or file, include MEDIA: (e.g. 'MEDIA:/tmp/hermes/cache/img_xxx.jpg') in the message — the platform will deliver it as a native media attachment." } } } } }, { "type": "function", "function": { "name": "session_search", "description": "Search past sessions stored in the local session DB, or scroll inside one. FTS5-backed retrieval over the SQLite message store. No LLM calls — every shape returns actual messages from the DB.\n\nTHREE CALLING SHAPES\n\n 1) DISCOVERY — pass `query`:\n session_search(query=\"auth refactor\", limit=3)\n Runs FTS5, dedupes hits by session lineage, returns the top N sessions. Each result carries:\n - session_id, title, when, source\n - snippet: FTS5-highlighted match excerpt\n - bookend_start: first 3 user+assistant messages of the session (the goal / kickoff)\n - messages: ±5 messages around the FTS5 match, with the anchor message flagged (the hit in context)\n - bookend_end: last 3 user+assistant messages of the session (the resolution / decisions)\n - match_message_id, messages_before, messages_after\n Bookends + window together let you reconstruct goal → match → resolution without paying for the whole transcript.\n\n 2) SCROLL — pass `session_id` + `around_message_id`:\n session_search(session_id=\"...\", around_message_id=12345, window=10)\n Returns a window of ±`window` messages centered on the anchor. No FTS5, no bookends — just the slice. Use after a discovery call when you need more context than the ±5 default window.\n - To scroll FORWARD: pass messages[-1].id back as around_message_id.\n - To scroll BACKWARD: pass messages[0].id back as around_message_id.\n - The boundary message appears in both windows — orientation marker.\n - When messages_before or messages_after is < window, you're at the start or end of the session.\n\n 3) BROWSE — no args:\n session_search()\n Returns recent sessions chronologically: titles, previews, timestamps. Use when the user asks \"what was I working on\" without naming a topic.\n\nFTS5 SYNTAX\n\n AND is the default — multi-word queries require all terms. Use OR explicitly for broader recall (`alpha OR beta OR gamma`), quoted phrases for exact match (`\"docker networking\"`), boolean (`python NOT java`), or prefix wildcards (`deploy*`).\n\nWHEN TO USE\n\n Reach for this on any \"what did we do about X\" / \"where did we leave Y\" / \"find the session where Z\" question — before gh, web search, or filesystem inspection. The session DB carries what was said when; external tools show current world state.", "parameters": { "type": "object", "properties": { "query": { "type": "string", "description": "Search query (discovery shape). Keywords, phrases, or boolean expressions to find in past sessions. Omit to browse recent sessions. Ignored when session_id + around_message_id are set (scroll shape)." }, "limit": { "type": "integer", "description": "Discovery shape only. Max sessions to return (default 3, max 10). Bump to 5–10 when the topic likely spans several sessions and you want to pick the right one to scroll into.", "default": 3 }, "sort": { "type": "string", "enum": [ "newest", "oldest" ], "description": "Discovery shape only. Temporal bias on top of FTS5 ranking. Omit to keep relevance-only ordering (suitable for exploratory recall — \"what do we know about X\"). Set 'newest' for recency-shaped questions (\"where did we leave X\"). Set 'oldest' for origin-shaped questions (\"how did X start\"). Ignored in scroll and browse shapes." }, "session_id": { "type": "string", "description": "Scroll shape. Session to read inside. Use the session_id returned from a prior discovery call. Must be paired with around_message_id." }, "around_message_id": { "type": "integer", "description": "Scroll shape. Message id to center the window on. From a discovery result use match_message_id, or any id seen in a prior window. To scroll forward pass the last window message's id; to scroll backward pass the first." }, "window": { "type": "integer", "description": "Scroll shape only. Messages to return on each side of the anchor (anchor itself always included). Clamped to [1, 20]. Default 5.", "default": 5 }, "role_filter": { "type": "string", "description": "Optional. Comma-separated roles to include. Discovery defaults to 'user,assistant' (tool output is usually noise). Pass 'user,assistant,tool' to include tool output (debugging tool behaviour) or 'tool' to search tool output only." } } } } }, { "type": "function", "function": { "name": "skill_manage", "description": "Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/.hermes/skills/; existing skills can be modified wherever they live.\n\nActions: create (full SKILL.md + optional category), patch (old_string/new_string — preferred for fixes), edit (full SKILL.md rewrite — major overhauls only), delete, write_file, remove_file.\n\nOn delete, pass `absorbed_into=` when you're merging this skill's content into another one, or `absorbed_into=\"\"` when you're pruning it with no forwarding target. This lets the curator tell consolidation from pruning without guessing, so downstream consumers (cron jobs that reference the old skill name, etc.) get updated correctly. The target you name in `absorbed_into` must already exist — create/patch the umbrella first, then delete.\n\nCreate when: complex task succeeded (5+ calls), errors overcome, user-corrected approach worked, non-trivial workflow discovered, or user asks you to remember a procedure.\nUpdate when: instructions stale/wrong, OS-specific failures, missing steps or pitfalls found during use. If you used a skill and hit issues not covered by it, patch it immediately.\n\nAfter difficult/iterative tasks, offer to save as a skill. Skip for simple one-offs. Confirm with user before creating/deleting.\n\nGood skills: trigger conditions, numbered steps with exact commands, pitfalls section, verification steps. Use skill_view() to see format examples.\n\nPinned skills are protected from deletion only — skill_manage(action='delete') will refuse with a message pointing the user to `hermes curator unpin `. Patches and edits go through on pinned skills so you can still improve them as pitfalls come up; pin only guards against irrecoverable loss.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "create", "patch", "edit", "delete", "write_file", "remove_file" ], "description": "The action to perform." }, "name": { "type": "string", "description": "Skill name (lowercase, hyphens/underscores, max 64 chars). Must match an existing skill for patch/edit/delete/write_file/remove_file." }, "content": { "type": "string", "description": "Full SKILL.md content (YAML frontmatter + markdown body). Required for 'create' and 'edit'. For 'edit', read the skill first with skill_view() and provide the complete updated text." }, "old_string": { "type": "string", "description": "Text to find in the file (required for 'patch'). Must be unique unless replace_all=true. Include enough surrounding context to ensure uniqueness." }, "new_string": { "type": "string", "description": "Replacement text (required for 'patch'). Can be empty string to delete the matched text." }, "replace_all": { "type": "boolean", "description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)." }, "category": { "type": "string", "description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'." }, "file_path": { "type": "string", "description": "Path to a supporting file within the skill directory. For 'write_file'/'remove_file': required, must be under references/, templates/, scripts/, or assets/. For 'patch': optional, defaults to SKILL.md if omitted." }, "file_content": { "type": "string", "description": "Content for the file. Required for 'write_file'." }, "absorbed_into": { "type": "string", "description": "For 'delete' only — declares intent so the curator can tell consolidation from pruning without guessing. Pass the umbrella skill name when this skill's content was merged into another (the target must already exist). Pass an empty string when the skill is truly stale and being pruned with no forwarding target. Omitting the arg on delete is supported for backward compatibility but downstream tooling (e.g. cron-job skill reference rewriting) will have to guess at intent." } }, "required": [ "action", "name" ] } } }, { "type": "function", "function": { "name": "skill_view", "description": "Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a 'linked_files' dict showing available references/templates/scripts. To access those, call again with file_path parameter.", "parameters": { "type": "object", "properties": { "name": { "type": "string", "description": "The skill name (use skills_list to see available skills). For plugin-provided skills, use the qualified form 'plugin:skill' (e.g. 'superpowers:writing-plans')." }, "file_path": { "type": "string", "description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content." } }, "required": [ "name" ] } } }, { "type": "function", "function": { "name": "skills_list", "description": "List available skills (name + description). Use skill_view(name) to load full content.", "parameters": { "type": "object", "properties": { "category": { "type": "string", "description": "Optional category filter to narrow results" } } } } }, { "type": "function", "function": { "name": "terminal", "description": "Execute shell commands on a Linux environment. Filesystem usually persists between calls.\n\nDo NOT use cat/head/tail to read files — use read_file instead.\nDo NOT use grep/rg/find to search — use search_files instead.\nDo NOT use ls to list directories — use search_files(target='files') instead.\nDo NOT use sed/awk to edit files — use patch instead.\nDo NOT use echo/cat heredoc to create files — use write_file instead.\nReserve terminal for: builds, installs, git, processes, scripts, network, package managers, and anything that needs a shell.\n\nForeground (default): Commands return INSTANTLY when done, even if the timeout is high. Set timeout=300 for long builds/scripts — you'll still get the result in seconds if it's fast. Prefer foreground for short commands.\nBackground: Set background=true to get a session_id. Two patterns:\n (1) Long-lived processes that never exit (servers, watchers).\n (2) Long-running tasks with notify_on_complete=true — you can keep working on other things and the system auto-notifies you when the task finishes. Great for test suites, builds, deployments, or anything that takes more than a minute.\nFor servers/watchers, do NOT use shell-level background wrappers (nohup/disown/setsid/trailing '&') in foreground mode. Use background=true so Hermes can track lifecycle and output.\nAfter starting a server, verify readiness with a health check or log signal, then run tests in a separate terminal() call. Avoid blind sleep loops.\nUse process(action=\"poll\") for progress checks, process(action=\"wait\") to block until done.\nWorking directory: Use 'workdir' for per-command cwd.\nPTY mode: Set pty=true for interactive CLI tools (Codex, Claude Code, Python REPL).\n\nDo NOT use vim/nano/interactive tools without pty=true — they hang without a pseudo-terminal. Pipe git output to cat if it might page.\n", "parameters": { "type": "object", "properties": { "command": { "type": "string", "description": "The command to execute on the VM" }, "background": { "type": "boolean", "description": "Run the command in the background. Two patterns: (1) Long-lived processes that never exit (servers, watchers). (2) Long-running tasks paired with notify_on_complete=true — you can keep working and get notified when the task finishes. For short commands, prefer foreground with a generous timeout instead.", "default": false }, "timeout": { "type": "integer", "description": "Max seconds to wait (default: 180, foreground max: 600). Returns INSTANTLY when command finishes — set high for long tasks, you won't wait unnecessarily. Foreground timeout above 600s is rejected; use background=true for longer commands.", "minimum": 1 }, "workdir": { "type": "string", "description": "Working directory for this command (absolute path). Defaults to the session working directory." }, "pty": { "type": "boolean", "description": "Run in pseudo-terminal (PTY) mode for interactive CLI tools like Codex, Claude Code, or Python REPL. Only works with local and SSH backends. Default: false.", "default": false }, "notify_on_complete": { "type": "boolean", "description": "When true (and background=true), you'll be automatically notified exactly once when the process finishes. **This is the right choice for almost every long-running task** — tests, builds, deployments, multi-item batch jobs, anything that takes over a minute and has a defined end. Use this and keep working on other things; the system notifies you on exit. MUTUALLY EXCLUSIVE with watch_patterns — when both are set, watch_patterns is dropped.", "default": false }, "watch_patterns": { "type": "array", "items": { "type": "string" }, "description": "Strings to watch for in background process output. HARD RATE LIMIT: at most 1 notification per 15 seconds per process — matches arriving inside the cooldown are dropped. After 3 consecutive 15-second windows with dropped matches, watch_patterns is automatically disabled for that process and promoted to notify_on_complete behavior (one notification on exit, no more mid-process spam). USE ONLY for truly rare, one-shot mid-process signals on LONG-LIVED processes that will never exit on their own — e.g. ['Application startup complete'] on a server so you know when to hit its endpoint, or ['migration done'] on a daemon. DO NOT use for: (1) end-of-run markers like 'DONE'/'PASS' — use notify_on_complete instead; (2) error patterns like 'ERROR'/'Traceback' in loops or multi-item batch jobs — they fire on every iteration and you'll hit the strike limit fast; (3) anything you'd ever combine with notify_on_complete. When in doubt, choose notify_on_complete. MUTUALLY EXCLUSIVE with notify_on_complete — set one, not both." } }, "required": [ "command" ] } } }, { "type": "function", "function": { "name": "text_to_speech", "description": "Convert text to speech audio. Returns a MEDIA: path that the platform delivers as native audio. Compatible providers render as a voice bubble on Telegram; otherwise audio is sent as a regular attachment. In CLI mode, saves to ~/voice-memos/. Voice and provider are user-configured (built-in providers like edge/openai or custom command providers under tts.providers.), not model-selected.", "parameters": { "type": "object", "properties": { "text": { "type": "string", "description": "The text to convert to speech. Provider-specific character caps apply and are enforced automatically (OpenAI 4096, xAI 15000, MiniMax 10000, ElevenLabs 5k-40k depending on model); over-long input is truncated." }, "output_path": { "type": "string", "description": "Optional custom file path to save the audio. Defaults to ~/.hermes/audio_cache/.mp3" } }, "required": [ "text" ] } } }, { "type": "function", "function": { "name": "todo", "description": "Manage your task list for the current session. Use for complex tasks with 3+ steps or when the user provides multiple tasks. Call with no parameters to read the current list.\n\nWriting:\n- Provide 'todos' array to create/update items\n- merge=false (default): replace the entire list with a fresh plan\n- merge=true: update existing items by id, add any new ones\n\nEach item: {id: string, content: string, status: pending|in_progress|completed|cancelled}\nList order is priority. Only ONE item in_progress at a time.\nMark items completed immediately when done. If something fails, cancel it and add a revised item.\n\nAlways returns the full current list.", "parameters": { "type": "object", "properties": { "todos": { "type": "array", "description": "Task items to write. Omit to read current list.", "items": { "type": "object", "properties": { "id": { "type": "string", "description": "Unique item identifier" }, "content": { "type": "string", "description": "Task description" }, "status": { "type": "string", "enum": [ "pending", "in_progress", "completed", "cancelled" ], "description": "Current status" } }, "required": [ "id", "content", "status" ] } }, "merge": { "type": "boolean", "description": "true: update existing items by id, add new ones. false (default): replace the entire list.", "default": false } } } } }, { "type": "function", "function": { "name": "video_analyze", "description": "Analyze a video from a URL or local file path using a multimodal AI model. Sends the video to a video-capable model (e.g. Gemini) for understanding. Use this for video files — for images, use vision_analyze instead. Supports mp4, webm, mov, avi, mkv, mpeg formats. Note: large videos (>20 MB) may be slow; max ~50 MB.", "parameters": { "type": "object", "properties": { "video_url": { "type": "string", "description": "Video URL (http/https) or local file path to analyze." }, "question": { "type": "string", "description": "Your specific question about the video. The AI will describe what happens in the video and answer your question." } }, "required": [ "video_url", "question" ] } } }, { "type": "function", "function": { "name": "vision_analyze", "description": "Load an image into the conversation so you can see it. Accepts a URL, local file path, or data URL. When your active model has native vision, the image is attached to your context directly and you read the pixels yourself on the next turn — call this any time the user references an image (filepath in their message, URL in tool output, screenshot from the browser, etc.). For non-vision models, falls back to an auxiliary vision model that returns a text description.", "parameters": { "type": "object", "properties": { "image_url": { "type": "string", "description": "Image URL (http/https), local file path, or data: URL to load." }, "question": { "type": "string", "description": "Your specific question or request about the image. Optional context the model uses on the next turn after seeing the image." } }, "required": [ "image_url", "question" ] } } }, { "type": "function", "function": { "name": "web_extract", "description": "Extract content from web page URLs. Returns page content in markdown format. Also works with PDF URLs (arxiv papers, documents, etc.) — pass the PDF link directly and it converts to markdown text. Pages under 5000 chars return full markdown; larger pages are LLM-summarized and capped at ~5000 chars per page. Pages over 2M chars are refused. If a URL fails or times out, use the browser tool to access it instead.", "parameters": { "type": "object", "properties": { "urls": { "type": "array", "items": { "type": "string" }, "description": "List of URLs to extract content from (max 5 URLs per call)", "maxItems": 5 } }, "required": [ "urls" ] } } }, { "type": "function", "function": { "name": "web_search", "description": "Search the web for information. Returns up to 5 results by default with titles, URLs, and descriptions. The query is passed through to the configured backend, so operators such as site:domain, filetype:pdf, intitle:word, -term, and \"exact phrase\" may work when the backend supports them.", "parameters": { "type": "object", "properties": { "query": { "type": "string", "description": "The search query to look up on the web. You may include backend-supported operators such as site:example.com, filetype:pdf, intitle:word, -term, or \"exact phrase\"." }, "limit": { "type": "integer", "description": "Maximum number of results to return. Defaults to 5.", "minimum": 1, "maximum": 100, "default": 5 } }, "required": [ "query" ] } } }, { "type": "function", "function": { "name": "write_file", "description": "Write content to a file, completely replacing existing content. Use this instead of echo/cat heredoc in terminal. Creates parent directories automatically. OVERWRITES the entire file — use 'patch' for targeted edits. Auto-runs syntax checks on .py/.json/.yaml/.toml and other linted languages; only NEW errors introduced by this write are surfaced (pre-existing errors are filtered out).", "parameters": { "type": "object", "properties": { "path": { "type": "string", "description": "Path to the file to write (will be created if it doesn't exist, overwritten if it does)" }, "content": { "type": "string", "description": "Complete content to write to the file" } }, "required": [ "path", "content" ] } } } ], "message_count": 199, "messages": [ { "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." }, { "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." }, { "role": "user", "content": "[nachlakes] Todo" }, { "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" } ] }, { "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" }, { "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" }, { "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?" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_uqgeK7wafve2PAEINCn7wLM6", "call_id": "call_uqgeK7wafve2PAEINCn7wLM6", "response_item_id": "fc_06d034090aab91f3016a0ce891360c8194b5502185f85aa97f", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"health-bridge\"}" } } ], "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": [] } ] }, { "role": "tool", "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. 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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" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_T1TkJ3gcQCRb4aVOfjfWM7uJ", "call_id": "call_T1TkJ3gcQCRb4aVOfjfWM7uJ", "response_item_id": "fc_06d034090aab91f3016a0ce8a149e08194bca40709adaf84b8", "type": "function", "function": { "name": "read_file", 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"id": "rs_06d034090aab91f3016a0ce89eeee08194ba3dc71597ea9072", "summary": [] } ] }, { "role": "tool", "content": "{\"content\": \" 520| val zone = ZoneId.systemDefault()\\n 521| var cursor = start\\n 522| while (cursor.isBefore(end)) {\\n 523| val local = cursor.atZone(zone).toLocalDate()\\n 524| val segmentEnd = minOf(local.plusDays(1).atStartOfDay(zone).toInstant(), end)\\n 525| val minutes = Duration.between(cursor, segmentEnd).toMinutes()\\n 526| if (minutes > 0) {\\n 527| arr.put(JSONObject().apply {\\n 528| put(\\\"type\\\", type)\\n 529| 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" }, { "role": "assistant", "content": "", "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}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"total_count\": 11}", "tool_call_id": "call_5VKVvS9EZwspZ9OEV9uBACgd" }, { "role": "assistant", "content": "", "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\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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\"}" } } ], "finish_reason": "tool_calls", "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.", "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." } ] } ] }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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()\"}" } } ], "finish_reason": "tool_calls", "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!", "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!" } ] } ] }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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 ${granted.size} granted permissions\\\"\\n }\\n \\n val body = JSONObject().apply {\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"], \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .kt files\"}}", "tool_call_id": "call_qo7uS2n62cFWZXcnx7MTBPIv" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_d5JsvfrAtG8SYVw8BH86TD5b", "call_id": "call_d5JsvfrAtG8SYVw8BH86TD5b", "response_item_id": "fc_06d034090aab91f3016a0ce8d2b938819483c65d12b98180bf", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" \\\"OK [$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\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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": "call_pgYlSw71qAp2NhN60zZdiKfE" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_ca0nIoisauFmuSBBljNRWiCF", "call_id": "call_ca0nIoisauFmuSBBljNRWiCF", "response_item_id": "fc_06d034090aab91f3016a0ce8dd0d588194a0d1428c9b5e3b25", "type": "function", "function": { "name": "read_file", "arguments": "{\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/res/layout/activity_main.xml\",\"limit\":160}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"content\": \" 1|\\n 2|\\n 8|\\n 9| \\n 17|\\n 18| \\n 25|\\n 26| \\n 33|\\n 34|\\n 35|\", \"total_lines\": 34, \"file_size\": 1052, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_ca0nIoisauFmuSBBljNRWiCF" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_E8noDD32dfc2q0ciF0ENWFYK", "call_id": "call_E8noDD32dfc2q0ciF0ENWFYK", "response_item_id": "fc_06d034090aab91f3016a0ce8e108f88194a432a5fee2192d0e", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" android:text=\\\"Import 2026\\\"\",\"old_string\":\" android:text=\\\"Sync Now\\\"\",\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/res/layout/activity_main.xml\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": 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"rs_06d034090aab91f3016a0ce8e06aec819487a87bf2535fdc07", "summary": [] } ] }, { "role": "tool", "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=\\\"Sync Now\\\"\\n+ android:text=\\\"Import 2026\\\"\\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_E8noDD32dfc2q0ciF0ENWFYK" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_P2q2TIjyWABbId2s56dAWBp6", "call_id": "call_P2q2TIjyWABbId2s56dAWBp6", "response_item_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" }, { "role": "assistant", "content": "", "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\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"output\": \"18362319\\n37bb0b77601549d6d93de927eed1e3f0ca3c53895c1794c3e9e31405f0570fb6\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_Fp5MdstNy0F4TPo0yGy1ZsnT" }, { "role": "assistant", "content": "", "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}" } } ], "finish_reason": "tool_calls", "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!", "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. 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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!" } ] } ] }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Inspecting tables**\n\nI need to check the tables for something specific. 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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!" } ] } ] }, { "role": "tool", "content": "{\"output\": \"[('raw_data',), ('sqlite_sequence',), ('daily_summary',)]\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_nudd6pS6dRJdhyiX3Vz1ucXZ" }, { "role": "assistant", "content": "", "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}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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}" } } ], "finish_reason": "tool_calls", "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.", "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." } ] } ] }, { "role": "tool", "content": "{\"output\": \"List of devices attached\\n100.111.239.9:46079\\tdevice\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_8KnnVe9UcvsHQBBt4KZF0lE2" }, { "role": "assistant", "content": "", "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}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"output\": \"Performing Streamed Install\\nSuccess\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_WdnfObLAb6hwAHBBcxxaHkGQ" }, { "role": "assistant", "content": "", "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}" } } ], "finish_reason": "tool_calls", "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!", "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!" } ] } ] }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_LLVv3OoWg16KL5n5d0vjA4K8", "call_id": "call_LLVv3OoWg16KL5n5d0vjA4K8", "response_item_id": "fc_06d034090aab91f3016a0ce92cea54819498b7e927e187addc", "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\",\"timeout\":60}" } } ], "finish_reason": "tool_calls", "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!", "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. It feels important to get this initial step right!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqDOks-UBRA8gI4P04L-95pSRnMMe6fwEUu6HLnBndEbXED_VdF8iSduXiuGTOeZ091UWRfsIBkdEoAQkBBQgSJrHnXTbICphaP8S7jJUNpKufAGjbmeJRo01tyYCSBkKaFoQ1Ve6F3a47Fo2DKzzwrErgTgXMMj0v5tmDRuAZ4B60arGvvyhayAmmxe5Z5Eh4DYQgdgftAgWuVjHeog6P7SBwblUpjllZIaoioh-dqSpqnDtX6U6ZbdBp_nPnXJjHscmRDl2OoNz35ySDQcT-BSKJkIwFa9B00F7-vkYM_w2pMCn32msHYcADc4pIQ32p9IHXxUfkrQhdFtfbxidq5jz26m-ghbYBtfEBxEEYcN8qWZrjANP2DgHzce_yNKMD27J506OTUmxTNXxJO0Rzk1No66rteOCgRIA8S6QlnROqgbDTaWM__wEqXnDy5km0pwB8zmMLcL0EbCta33deazhwwvToGbqX_tGWrNHw0abNzY-VyHPvtj9EvsgUYYGWY4RQfp8YabxV7q_HVi2a1ChM-REujuzate1fLEKUCQGz4jO_yoWcP2VRNSz0Sc_TlvGtrTXNNI9SRAcVUxNAvB_sh8tKFrowPkhQnGIvh1x4-HZ9BPlkYQ8spL6pAHigwB6kFEd7KBzVIrKPLlj6KVNV0DUiUIHQGmJE2jq5RAiiQG4yzQ4j0YBGpDJfzqvpOeT68FOADSB90wrj1WilOh2Y_uoA8tWKaY8D_WuX-xpMu8njjhRO9x2XwwaQJeQHWWAo8n-ZoVCTGq3K8sDdbYdk8tnmfhjxPETZtrfdpdYCCZuNlqDdcpsB8ND9BJok3zyo6IQWdShmquDblzBLULNx9dXvt0snPSSK9Smk9a-NR3c-EwTmyvilIBzZHfXtxt2USRx-trWdtMuG3aYj59ZOBqXdbF4TJs-DOuArvGFMdZb-TZdXffqqb7Tsqq1Odmuicxf2Uf-fDLbsT-dGZncrWYegRz1x2-z2pkixVQ9oDC0=", "id": "rs_06d034090aab91f3016a0ce92b1db08194b051f7174e6250ec", "summary": [ { "type": "summary_text", "text": "**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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Downloaded content will be executed without inspection.) and was approved by the user.\"}", "tool_call_id": "call_br7yflXNUQRtK2w3RkPDYgcy" }, { "role": "assistant", "content": "", "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}" } } ], "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": [] } ] }, { "role": "tool", "content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_CaYYLy5rbo7I7PmcmOLgObYf" }, { "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?" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_LeOrK3S9DUnOjT3pCr03BboA", "call_id": "call_LeOrK3S9DUnOjT3pCr03BboA", "response_item_id": "fc_06d034090aab91f3016a0ce9c8afa881948ead15f374da0ef8", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"health-bridge\"}" } } ], "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": [] } ] }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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\"}]}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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\"}]}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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()\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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\"}]}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"output\": \"List of devices attached\\n100.111.239.9:46079\\tdevice\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_I0kf0L4kI8vKUB62KF2HraIn" }, { "role": "assistant", "content": "", "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}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_3yhS0yGQT6nPaVc9MqSsRY7P" }, { "role": "assistant", "content": "", "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}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"output\": \"tapped\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_oGqdO5TNixAyrJYF63R5Yzkm" }, { "role": "assistant", "content": "", "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}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": 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"id": "rs_06d034090aab91f3016a0ceb0e80248194a8d188cbb707ffb1", "summary": [] } ] }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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.\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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\"}" } } ], "finish_reason": "tool_calls", "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.", "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." } ] } ] }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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')\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"status\": \"success\", \"output\": \"ready\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.27}", "tool_call_id": "call_VlzCyM7bY5awbdd46iqg5sSG" }, { "role": "assistant", "content": "", "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\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": 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"id": "rs_06d034090aab91f3016a0ceb31bfa08194a40035dc7c904af5", "summary": [] } ] }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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\"}" } } ], "finish_reason": "tool_calls", "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!", "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!" } ] } ] }, { "role": "tool", "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). Re-read the whole file before overwriting it.\"}", "tool_call_id": "call_gKybXGnvztPJjAs0HXcKfnTM" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_w0Mi9k5ng6yB5GJbdePGMLSI", "call_id": "call_w0Mi9k5ng6yB5GJbdePGMLSI", "response_item_id": "fc_06d034090aab91f3016a0ceb5fdb8081948f7a536969a0b8b5", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"./gradlew assembleDebug --no-daemon\",\"timeout\":600,\"workdir\":\"/home/ubuntu/health-bridge/android-app\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqDOtfMRDOe2uZPM3tSlDKomIcKzeyBKNN9j97_0jm6q1lko95fjZ9HCFrjK4k7Vf-9q_BUIoC1v6fb8zI5Cu0KLobnfuDix_vR9WdS-jWM4OK0Znpa8CWsx5s3Pnvumm-9kMMv3VqNeQEbd0IT5VniRpeu_6X9lKOekYMwWipsLbcQ16x4ltCY8hSxTeWf-aROBTCE4sEpljw52DitZ3vzB1V8czGpA8iJ2TuhwhQDC8naGCiYVsP6VhPfdWgtZ5n7V4IuXy6adU4Kk2rlvu6q81odP6FglbjuSmkbuIb8b-a8XNeNWDc_19573bhMTEG5p7HTZGduJt48nstXg8H7dp7gd89nVf8SOATkaBco3WZGIqnlQ08Tds5lN-yhG13XleLDsACvEA1mVyQy6LqGiLc5q56smFdRA31KZN1kvHkpIEeZ6TbZSSxsSgN8wkV15mGngLsoRP6U42Oc1QkY7LSHq3AWrmAAiENdyoZNdykelsnY-6PMiYfmdhcv0jWI-HCXSnVW0LN85nWAHdXtxRVN8kUwPtS2XUd-zZyzWr12iIrh88iWBHLnl0avTIT9gXKrghyJgPM5-K6IflE9wZ-EfHtoT1M2-WqetTSyaSGpTOtUc7UGCBSLNpTKEibP1H5LEDCoTXsOYRLNnh0hICKEd2eL6unAPyzn6S59-NuLl_QlpdijW7VoH49a6x2a3pVsgtnSaJcQUqOrK6FQobnPPnXP0ppcR3wGiFPowW9bNza3ZBsf_c6iwLPmJoNIC9WTi26Ea1AtahsOuRHgTVDUIvDx7DIUKuJ-q_vSiw2BbAdXBVvZbG8o2NnbUjWfw9ir1eB4mVgDhGuimyJwXRXHeHnMul-ks_1l7WzIj17519YTXMtXsDLKwu3FhUNy9jIm9eFpCnexk-7eSiJOsX2S2ivrgp5DO7QdBx9VkzA5sanhByoey21JGQwYGMog1MO2fUn-_eJhZLqgF71V2fBgRNzwzO3KMzwshzjDmZeRabobHgnIHd3AU2fAP1yKFKyJo0qqrEEXYBaH9iMLyuWLw==", "id": "rs_06d034090aab91f3016a0ceb5f16408194ba6be14bb10e0875", "summary": [] } ] }, { "role": "tool", "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 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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\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_w0Mi9k5ng6yB5GJbdePGMLSI" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_t19XIjqeudhZ1s3YT0W8396I", "call_id": "call_t19XIjqeudhZ1s3YT0W8396I", "response_item_id": "fc_06d034090aab91f3016a0ceb74bde08194bf9ee5de76196344", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"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\":180,\"workdir\":\"/home/ubuntu/health-bridge/android-app\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_Q8p5JTmcq7wnvE1pe62p1sjB", "call_id": "call_Q8p5JTmcq7wnvE1pe62p1sjB", "response_item_id": "fc_06d034090aab91f3016a0ceb818ce081948ce0d6601aedb616", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"adb -s 100.111.239.9:46079 shell input tap 540 1450 && for i in $(seq 1 30); do sleep 5; adb -s 100.111.239.9:46079 shell uiautomator dump /sdcard/window.xml >/dev/null 2>&1; 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"id": "rs_06d034090aab91f3016a0ceb80e27081948817895af72d2bc5", "summary": [] } ] }, { "role": "tool", "content": "{\"output\": \"1 Syncing...\\n2 ERROR: IllegalStateException: android.health.connect.HealthConnectException: android.os.TransactionTooLargeException: data parcel size 854232 bytes\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_Q8p5JTmcq7wnvE1pe62p1sjB" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_fXLWxViajl4OzyM1IrHByO0t", "call_id": "call_fXLWxViajl4OzyM1IrHByO0t", "response_item_id": "fc_06d034090aab91f3016a0ceb9e461c8194853888e09d120e29", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" suspend fun syncHistorical(): String = withContext(Dispatchers.IO) {\\n val today = LocalDate.now(ZoneId.systemDefault())\\n val parts = mutableListOf()\\n var total = 0\\n for (year in 2015..today.year) {\\n val from = LocalDate.of(year, 1, 1)\\n val to = if (year == today.year) today else LocalDate.of(year, 12, 31)\\n val result = syncRange(from, to, \\\"historical-$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. ${parts.takeLast(2).joinToString(\\\" | \\\")}\\\"\\n }\\n\\n suspend fun syncAll(): String = syncRecent()\\n\\n private suspend fun syncSince(requestedStartDate: LocalDate, label: String): String =\\n syncRange(requestedStartDate, LocalDate.now(ZoneId.systemDefault()), label)\\n\\n private suspend fun syncRange(requestedStartDate: LocalDate, requestedEndDate: LocalDate, label: String): String = withContext(Dispatchers.IO) {\",\"old_string\":\" suspend fun syncHistorical(): String = syncSince(LocalDate.of(2015, 1, 1), \\\"historical\\\")\\n\\n suspend fun syncAll(): String = syncRecent()\\n\\n private suspend fun syncSince(requestedStartDate: LocalDate, label: String): String = withContext(Dispatchers.IO) {\",\"path\":\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": 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"id": "rs_06d034090aab91f3016a0ceb98c90881949b84d06e4d1c0deb", "summary": [] } ] }, { "role": "tool", "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n+++ b//home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\\n@@ -96,11 +96,27 @@\\n \\n suspend fun syncYearToDate(): String = syncSince(LocalDate.of(2026, 1, 1), \\\"2026\\\")\\n \\n- suspend fun syncHistorical(): String = syncSince(LocalDate.of(2015, 1, 1), \\\"historical\\\")\\n+ suspend fun syncHistorical(): String = withContext(Dispatchers.IO) {\\n+ val today = LocalDate.now(ZoneId.systemDefault())\\n+ val parts = mutableListOf()\\n+ var total = 0\\n+ for (year in 2015..today.year) {\\n+ val from = LocalDate.of(year, 1, 1)\\n+ val to = if (year == today.year) today else LocalDate.of(year, 12, 31)\\n+ val result = syncRange(from, to, \\\"historical-$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" }, { "role": "assistant", "content": "", "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\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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\"}" } } ], "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": [] } ] }, { "role": "tool", "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 ${granted.size} granted permissions\\\"\\n\", \"files_modified\": [\"/home/ubuntu/health-bridge/android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt\"], \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .kt files\"}}", "tool_call_id": "call_zN1BeMfhRujKADbssoE29M52" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_nvqhNAComoIW9mrLa6d1lXBs", "call_id": "call_nvqhNAComoIW9mrLa6d1lXBs", "response_item_id": "fc_06d034090aab91f3016a0cebc2162481949daf8ec6fed9ba21", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" \\\"OK [$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\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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\"}]}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": 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"id": "rs_06d034090aab91f3016a0cec2756188194b2026ff06d28c730", "summary": [] } ] }, { "role": "tool", "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" }, { "role": "assistant", "content": "", "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\"}]}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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" }, { "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.", "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" } ], "finish_reason": "stop" }, { "role": "user", "content": "[nachlakes] investiga bien como podes recuperar toda la data anual de 2026 por favor como minimo" }, { "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\"}]}" } } ] }, { "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" }, { "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\"}" } } ] }, { "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" }, { "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\"}" } } ] }, { "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" }, { "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}" } } ] }, { "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" }, { "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}" } } ] }, { "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" }, { "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" }, { "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" }, { "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\"}" } } ] }, { "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" }, { "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. 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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\"}" } } ] }, { "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" }, { "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; 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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\"}" } } ] }, { "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" }, { "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\"]}" } } ] }, { "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" }, { "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\"}" } } ] }, { "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" }, { "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\"}]}" } } ] }, { "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" }, { "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}" } } ] }, { "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" }, { "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\"}" } } ] }, { "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" }, { "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\"}" } } ] }, { "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" }, { "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\"}" } } ] }, { "role": "tool", "name": "write_file", "content": "{\"bytes_written\": 4177, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_Ty5emQbkKtnbP6gRk9F4EWXg" }, { "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}" } } ] }, { "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" }, { "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\"}]}" } } ] }, { "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" }, { "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" } ] }, { "role": "user", "content": "Review the conversation above and update the skill library. Be ACTIVE — most sessions produce at least one skill update, even if small. A pass that does nothing is a missed learning opportunity, not a neutral outcome.\n\nTarget shape of the library: CLASS-LEVEL skills, each with a rich SKILL.md and a `references/` directory for session-specific detail. Not a long flat list of narrow one-session-one-skill entries. This shapes HOW you update, not WHETHER you update.\n\nSignals to look for (any one of these warrants action):\n • User corrected your style, tone, format, legibility, or verbosity. Frustration signals like 'stop doing X', 'this is too verbose', 'don't format like this', 'why are you explaining', 'just give me the answer', 'you always do Y and I hate it', or an explicit 'remember this' are FIRST-CLASS skill signals, not just memory signals. Update the relevant skill(s) to embed the preference so the next session starts already knowing.\n • User corrected your workflow, approach, or sequence of steps. Encode the correction as a pitfall or explicit step in the skill that governs that class of task.\n • Non-trivial technique, fix, workaround, debugging path, or tool-usage pattern emerged that a future session would benefit from. Capture it.\n • A skill that got loaded or consulted this session turned out to be wrong, missing a step, or outdated. Patch it NOW.\n\nPreference order — prefer the earliest action that fits, but do pick one when a signal above fired:\n 1. UPDATE A CURRENTLY-LOADED SKILL. Look back through the conversation for skills the user loaded via /skill-name or you read via skill_view. If any of them covers the territory of the new learning, PATCH that one first. It is the skill that was in play, so it's the right one to extend.\n 2. UPDATE AN EXISTING UMBRELLA (via skills_list + skill_view). If no loaded skill fits but an existing class-level skill does, patch it. Add a subsection, a pitfall, or broaden a trigger.\n 3. ADD A SUPPORT FILE under an existing umbrella. Skills can be packaged with three kinds of support files — use the right directory per kind:\n • `references/.md` — session-specific detail (error transcripts, reproduction recipes, provider quirks) AND condensed knowledge banks: quoted research, API docs, external authoritative excerpts, or domain notes you found while working on the problem. Write it concise and for the value of the task, not as a full mirror of upstream docs.\n • `templates/.` — starter files meant to be copied and modified (boilerplate configs, scaffolding, a known-good example the agent can `reproduce with modifications`).\n • `scripts/.` — statically re-runnable actions the skill can invoke directly (verification scripts, fixture generators, deterministic probes, anything the agent should run rather than hand-type each time).\n Add support files via skill_manage action=write_file with file_path starting 'references/', 'templates/', or 'scripts/'. The umbrella's SKILL.md should gain a one-line pointer to any new support file so future agents know it exists.\n 4. CREATE A NEW CLASS-LEVEL UMBRELLA SKILL when no existing skill covers the class. The name MUST be at the class level. The name MUST NOT be a specific PR number, error string, feature codename, library-alone name, or 'fix-X / debug-Y / audit-Z-today' session artifact. If the proposed name only makes sense for today's task, it's wrong — fall back to (1), (2), or (3).\n\nUser-preference embedding (important): when the user expressed a style/format/workflow preference, the update belongs in the SKILL.md body, not just in memory. Memory captures 'who the user is and what the current situation and state of your operations are'; skills capture 'how to do this class of task for this user'. When they complain about how you handled a task, the skill that governs that task needs to carry the lesson.\n\nIf you notice two existing skills that overlap, note it in your reply — the background curator handles consolidation at scale.\n\nDo NOT capture (these become persistent self-imposed constraints that bite you later when the environment changes):\n • Environment-dependent failures: missing binaries, fresh-install errors, post-migration path mismatches, 'command not found', unconfigured credentials, uninstalled packages. The user can fix these — they are not durable rules.\n • Negative claims about tools or features ('browser tools do not work', 'X tool is broken', 'cannot use Y from execute_code'). These harden into refusals the agent cites against itself for months after the actual problem was fixed.\n • Session-specific transient errors that resolved before the conversation ended. If retrying worked, the lesson is the retry pattern, not the original failure.\n • One-off task narratives. A user asking 'summarize today's market' or 'analyze this PR' is not a class of work that warrants a skill.\n\nIf a tool failed because of setup state, capture the FIX (install command, config step, env var to set) under an existing setup or troubleshooting skill — never 'this tool does not work' as a standalone constraint.\n\n'Nothing to save.' is a real option but should NOT be the default. If the session ran smoothly with no corrections and produced no new technique, just say 'Nothing to save.' and stop. Otherwise, act.\n\nYou can only call memory and skill management tools. Other tools will be denied at runtime — do not attempt them." }, { "role": "assistant", "content": "", "reasoning": "**Updating skill management tools**\n\nI need to update the skill for health-bridge, and I’m considering using either skill_manage or skill_view based on what the user mentioned about memory and skill management tools. I think we already have the necessary files in the project, so I’ll write a reference to the skill and possibly include a script template. I might also add references to things like google-fit-fitbit-backfill.md and the import_google_fit_2026.py script while patching the SKILL.md to point out potential pitfalls.", "finish_reason": "tool_calls", "reasoning_content": "**Updating skill management tools**\n\nI need to update the skill for health-bridge, and I’m considering using either skill_manage or skill_view based on what the user mentioned about memory and skill management tools. I think we already have the necessary files in the project, so I’ll write a reference to the skill and possibly include a script template. I might also add references to things like google-fit-fitbit-backfill.md and the import_google_fit_2026.py script while patching the SKILL.md to point out potential pitfalls.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqDO1nnuSJdv9x5KWv9tMmOlBoj-paErGUuMybThsbRcnv25oA_8qXaAWq4m4fm3UVzPSiHiSBQptGm3bqaqL6wqOqY4oo07cDScyQWCUZoHa7Yg2flAWbQsPkMJZeqpPJB_L7Jp--teLnSnqN6GU1k785AAZz9AGwi7xxBn5X30UB5gkYLGpXgS0Pw_0vV51fQ9dLEDc01JnGN4HFQoOpIXpkZ88fBm42zBFAFkVMI1rnJDQLRMaqKvwzmhV-Fm_7ha00-RncM42_eTJVq3odGEdY5QXyaV1sJPYVV3kqgy9YjNzH53iYcP_brGVfRfLEA0BxWxiaYh-tifYW5jSw0r0bpXrTHvK0OMmY5PKhp1d_go8lvPYJEHQWQ4atLM6pjVqDoWBsp86RFw7zAUzCBkN5Pk0BhpbR5sRZV_NqPLeYJtNmkOtrXfyfEVhpJ5YHdGzYiDDulTzzpGQuHhT3a1buvRwT0XTPmMROOAwLmZZcJRW6PnWqpHjwi0OC6_juJJXwJ1076B4vZK-sZeOV8d3wcvn8V1iAnmGsY3nF9F4UWxLugHdQPT4-A9jIGF7yQ-TS-hZ1BMT7R1SETXJeaiQiYof06fdAZVD3R_V9ptmIZVt2lPpnU7b_xI97erjvmE5Zx67S2Ds8dElMyUNR0abtEZM9Zbregv73pqCot-13iDiS_T_unRvA0HGdV7P3KUYtb7qwI4XS8-cP4IhIA7snTEnuZjOU1YMwtINhG_IkVPacuAXFYHHbkhfUrxCcZj13byj-3G33fJXpqTIv-mtKCpelG4a9dGTi2u8SKXUw1J6EpSUx1P7T--Eac8v7iS0p2aadIuLkIv1FdT4_U2-crLKKN3KjVhde_Shdlah5Gq31jNu5sQ5Ya9k4dT44eMbAsrb7i-KSl5WnZ0lnp4mX1io-f5tQ2oFZ54q-3p3yLX_-sQj0D1VuSFqmsxXOwtWQhsnROqcskaOLafxnQp6lCEtSkz3TQDWRYy0cPUw9llaY6QQMF870fLKp8kCLS1cgAOY3S8mL3IR8vq16I-eVdC4ITA6jt11oS3JDwRBhwFA4-FCu2iAzFKbXA46z_w5WMQMlKtmXFkkMxzHE4Rcnw5LZPasH0bTxJeM3TdUKVJp_NECMdl3lzJ_8FpFp8Z-KiLZ4HeVQw7IaQPVE0QRTNo0AK8YlMuBLW3lvNwvo_NhFD3wNwQN-nNceaz_0y7FUTLcfi1TBr4GNJ1qVneGB62331edJXk3njecnNW_lM1x2Ic-Q8R7qj0oZV4KG5dXJY17O1I091-i4DUwhrraNH43TQkwM7CJqGq8f_HKBbJK_sOajtC0RKPyty2XRDem134aGAxZJI6bxnCsRXDH11xdvlQGs8KOvgubbVHUKW2WyMac4wi17Ei8GtIrG71ci4jZjH8bCKQHn8NTe3NjCkIrzTTFrS5i8srsT1AkZt5EKmgDXTr3eEgsZ53hpD1g2l9f_rXCBdduV8vC4VouikxHvkvXRyadX_es06kuJCouM9V89PNdXTSqJPoYuNKvX2bIqrOWLYaCp1wDQQ_4w4AyFWj01vpp-hWZ8eKfWTgG4l0TUKQlA4JG3JQuAZEQiVhmJ2KhE8X_NcKGaWYjkbQ==", "id": "rs_06d034090aab91f3016a0ced62e9f48194b8fc58dcd972774f", "summary": [ { "type": "summary_text", "text": "**Updating skill management tools**\n\nI need to update the skill for health-bridge, and I’m considering using either skill_manage or skill_view based on what the user mentioned about memory and skill management tools. I think we already have the necessary files in the project, so I’ll write a reference to the skill and possibly include a script template. I might also add references to things like google-fit-fitbit-backfill.md and the import_google_fit_2026.py script while patching the SKILL.md to point out potential pitfalls." } ] } ], "tool_calls": [ { "id": "call_gCiCOKLMrzxoq1UqFcVzTo6V", "call_id": "call_gCiCOKLMrzxoq1UqFcVzTo6V", "response_item_id": "fc_06d034090aab91f3016a0ced671bc881948f549ee392d81a32", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"action\":\"write_file\",\"name\":\"health-bridge\",\"file_path\":\"references/cloud-backfill-google-fit-fitbit.md\",\"file_content\":\"# Cloud backfill for missing Health Connect history\\n\\nUse this when Health Bridge has already queried Health Connect for a historical range but daily summaries still show zero/missing steps for dates the user expects to have data.\\n\\n## Durable lesson\\n\\nHealth Connect is a local Android health data store. A successful historical query over a date range only proves that the app queried the local store; it does **not** prove older Google Fit/Fitbit cloud history has been imported into Health Connect. If Health Connect returns zero rows/zero steps for old dates, the next source is a cloud API or export, not repeated Health Connect querying.\\n\\n## Audit pattern\\n\\nCheck coverage by month/year before choosing the next source:\\n\\n```sql\\nselect substr(date,1,7) as month,\\n count(*) as days,\\n sum(case when steps > 0 then 1 else 0 end) as days_with_steps,\\n sum(steps) as step_sum,\\n cast(avg(nullif(steps,0)) as int) as avg_nonzero_steps\\nfrom daily_summary\\nwhere subject = 'chicho'\\n and date between '2026-01-01' and '2026-12-31'\\ngroup by month\\norder by month;\\n```\\n\\n## Source priority\\n\\n### 1. Google Fit REST API\\n\\nBest candidate for Google-account historical steps if the Fitness API/OAuth client can still be used.\\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\\nScope:\\n\\n```txt\\nhttps://www.googleapis.com/auth/fitness.activity.read\\n```\\n\\nUse Google Fit's app-style estimated step source:\\n\\n```txt\\nderived:com.google.step_count.delta:com.google.android.gms:estimated_steps\\n```\\n\\nDaily bucket request shape:\\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\\nCaveat: Google Fit APIs are deprecated/end-of-service in 2026 and new signups have been blocked since 2024. Existing OAuth clients may still work; if not, move to Fitbit or Takeout.\\n\\n### 2. Fitbit Web API\\n\\nBest candidate if Fitbit app/cloud has the historical steps.\\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\\nSteps supports up to 1095 days per request, so a full year fits in one call.\\n\\n### 3. Google Takeout\\n\\nFallback when Google Fit API/OAuth is blocked. Ask the user for a Google Takeout export of Fit data, then parse JSON/CSV locally. This is manual but bypasses API registration and deprecation issues.\\n\\n## Ingestion rules\\n\\nImport cloud backfill as `daily_aggregate` records and rebuild summaries idempotently.\\n\\nSuggested record fields:\\n\\n```json\\n{\\n \\\"type\\\": \\\"daily_aggregate\\\",\\n \\\"subject\\\": \\\"chicho\\\",\\n \\\"source\\\": \\\"google_fit_rest\\\",\\n \\\"local_date\\\": \\\"2026-01-01\\\",\\n \\\"period_start\\\": \\\"2026-01-01T03:00:00Z\\\",\\n \\\"period_end\\\": \\\"2026-01-02T03:00:00Z\\\",\\n \\\"steps\\\": 12345,\\n \\\"record_key\\\": \\\"daily_aggregate:chicho:2026-01-01\\\"\\n}\\n```\\n\\nRecord key choice matters: using the canonical Health Connect daily aggregate key lets cloud backfill replace zero-valued local rows idempotently. If preserving both sources separately is needed later, update backend precedence/dedupe first so nonzero cloud history beats zero local Health Connect rows.\\n\"}" } } ] }, { "role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"File 'references/cloud-backfill-google-fit-fitbit.md' written to skill 'health-bridge'.\", \"path\": \"/home/ubuntu/.hermes/skills/fitness/health-bridge/references/cloud-backfill-google-fit-fitbit.md\"}", "tool_call_id": "call_gCiCOKLMrzxoq1UqFcVzTo6V" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_8WmYWCJeQiwbOsVdCLa8v2fl", "call_id": "call_8WmYWCJeQiwbOsVdCLa8v2fl", "response_item_id": "fc_06d034090aab91f3016a0ced7a33c48194b491eb150afe6751", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"action\":\"write_file\",\"file_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\\nQueries Google Fit's app-style estimated steps source and posts daily_aggregate\\nrecords into Health Bridge.\\n\\\"\\\"\\\"\\nimport json\\nimport os\\nimport sys\\nimport urllib.request\\nfrom datetime import date, datetime, 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\\\")\\nSUBJECT = os.environ.get(\\\"HEALTH_BRIDGE_SUBJECT\\\", \\\"chicho\\\")\\nTZ = os.environ.get(\\\"HEALTH_BRIDGE_TIMEZONE\\\", \\\"America/Argentina/Buenos_Aires\\\")\\nSOURCE = os.environ.get(\\\"HEALTH_BRIDGE_SOURCE\\\", \\\"google_fit_rest\\\")\\n\\n\\ndef millis(d: date, zone: ZoneInfo) -> int:\\n return int(datetime.combine(d, time.min, tzinfo=zone).timestamp() * 1000)\\n\\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\\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\\n\\ndef main():\\n fit_token = os.environ.get(\\\"GOOGLE_FIT_ACCESS_TOKEN\\\")\\n if not fit_token:\\n print(\\\"ERROR: set GOOGLE_FIT_ACCESS_TOKEN with fitness.activity.read scope\\\", file=sys.stderr)\\n return 2\\n if not HEALTH_TOKEN:\\n print(\\\"ERROR: set HEALTH_BRIDGE_TOKEN\\\", file=sys.stderr)\\n return 2\\n\\n zone = ZoneInfo(TZ)\\n start = date.fromisoformat(os.environ.get(\\\"BACKFILL_START\\\", \\\"2026-01-01\\\"))\\n end = date.fromisoformat(os.environ.get(\\\"BACKFILL_END\\\", \\\"2026-12-31\\\"))\\n today = datetime.now(zone).date()\\n if start.year == today.year:\\n end = min(end, today)\\n\\n fit_body = {\\n \\\"aggregateBy\\\": [{\\\"dataSourceId\\\": \\\"derived:com.google.step_count.delta:com.google.android.gms:estimated_steps\\\"}],\\n \\\"bucketByTime\\\": {\\\"period\\\": {\\\"type\\\": \\\"day\\\", \\\"value\\\": 1, \\\"timeZoneId\\\": TZ}},\\n \\\"startTimeMillis\\\": millis(start, zone),\\n \\\"endTimeMillis\\\": millis(end, zone) + 24 * 60 * 60 * 1000,\\n }\\n fit = request_json(FIT_URL, fit_body, {\\n \\\"Authorization\\\": f\\\"Bearer {fit_token}\\\",\\n \\\"Content-Type\\\": \\\"application/json;encoding=utf-8\\\",\\n })\\n\\n records = []\\n utc = ZoneInfo(\\\"UTC\\\")\\n for bucket in fit.get(\\\"bucket\\\", []):\\n start_ms = int(bucket[\\\"startTimeMillis\\\"])\\n end_ms = int(bucket[\\\"endTimeMillis\\\"])\\n local = datetime.fromtimestamp(start_ms / 1000, zone).date().isoformat()\\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, utc).isoformat().replace(\\\"+00:00\\\", \\\"Z\\\"),\\n \\\"period_end\\\": datetime.fromtimestamp(end_ms / 1000, utc).isoformat().replace(\\\"+00:00\\\", \\\"Z\\\"),\\n \\\"steps\\\": extract_steps(bucket),\\n \\\"record_key\\\": f\\\"daily_aggregate:{SUBJECT}:{local}\\\",\\n })\\n\\n result = request_json(INGEST_URL, {\\\"subject\\\": SUBJECT, \\\"timezone\\\": TZ, \\\"records\\\": records}, {\\n \\\"Authorization\\\": f\\\"Bearer {HEALTH_TOKEN}\\\",\\n \\\"Content-Type\\\": \\\"application/json\\\",\\n })\\n print(json.dumps({\\n \\\"status\\\": \\\"ok\\\",\\n \\\"records_posted\\\": len(records),\\n \\\"nonzero_step_days\\\": sum(1 for r in records if r[\\\"steps\\\"] > 0),\\n \\\"step_sum\\\": sum(r[\\\"steps\\\"] for r in records),\\n \\\"ingest\\\": result,\\n }, indent=2))\\n return 0\\n\\n\\nif __name__ == \\\"__main__\\\":\\n raise SystemExit(main())\\n\",\"file_path\":\"scripts/import_google_fit_daily_steps.py\",\"name\":\"health-bridge\"}" } } ] }, { "role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"File 'scripts/import_google_fit_daily_steps.py' written to skill 'health-bridge'.\", \"path\": \"/home/ubuntu/.hermes/skills/fitness/health-bridge/scripts/import_google_fit_daily_steps.py\"}", "tool_call_id": "call_8WmYWCJeQiwbOsVdCLa8v2fl" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_Lk4Qjgg66CwweftxTXYQYydY", "call_id": "call_Lk4Qjgg66CwweftxTXYQYydY", "response_item_id": "fc_06d034090aab91f3016a0ced924a3c81948749e5dea855719b", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"action\":\"patch\",\"name\":\"health-bridge\",\"old_string\":\"For 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`.\",\"new_string\":\"For 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`.\\nFor recovering missing cloud history when Health Connect returns zero rows/steps, see `references/cloud-backfill-google-fit-fitbit.md` and `scripts/import_google_fit_daily_steps.py`.\"}" } } ] }, { "role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'health-bridge' (1 replacement).\"}", "tool_call_id": "call_Lk4Qjgg66CwweftxTXYQYydY" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_KVb28u8eKc8c9EK4UpdNlUtN", "call_id": "call_KVb28u8eKc8c9EK4UpdNlUtN", "response_item_id": "fc_06d034090aab91f3016a0ced979f408194855c9b27aa08bb0f", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"action\":\"patch\",\"name\":\"health-bridge\",\"new_string\":\"- **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/months where Google Fit/Fitbit did not write historical data into Health Connect. Do a monthly coverage audit (`days_with_steps`, `step_sum`) before concluding the import worked. For older real step history, use Google Fit REST (`estimated_steps` with `fitness.activity.read`), Fitbit Web API (`activities/steps/date/{start}/{end}`), or Google Takeout rather than repeatedly querying Health Connect. See `references/cloud-backfill-google-fit-fitbit.md`.\",\"old_string\":\"- **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.\"}" } } ] }, { "role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'health-bridge' (1 replacement).\"}", "tool_call_id": "call_KVb28u8eKc8c9EK4UpdNlUtN" }, { "role": "assistant", "content": "Updated the `health-bridge` skill.\n\nChanges:\n- Added `references/cloud-backfill-google-fit-fitbit.md`\n - Covers the key lesson: Health Connect local history ≠ Google Fit/Fitbit cloud history.\n - Includes the monthly audit SQL pattern.\n - Documents Google Fit REST `estimated_steps`, Fitbit time-series endpoint, and Google Takeout fallback.\n - Captures ingestion/dedupe guidance for replacing zero Health Connect daily rows.\n\n- Added `scripts/import_google_fit_daily_steps.py`\n - Reusable Google Fit REST daily steps importer template.\n - Uses `GOOGLE_FIT_ACCESS_TOKEN` + `HEALTH_BRIDGE_TOKEN`.\n - Posts daily aggregates into Health Bridge.\n\n- Patched `health-bridge/SKILL.md`\n - Added pointers to the new reference and script.\n - Strengthened the “Cloud-vs-local history” pitfall with the exact workflow correction from this session.", "reasoning": null, "finish_reason": "stop", "codex_message_items": [ { "type": "message", "role": "assistant", "status": "completed", "content": [ { "type": "output_text", "text": "Updated the `health-bridge` skill.\n\nChanges:\n- Added `references/cloud-backfill-google-fit-fitbit.md`\n - Covers the key lesson: Health Connect local history ≠ Google Fit/Fitbit cloud history.\n - Includes the monthly audit SQL pattern.\n - Documents Google Fit REST `estimated_steps`, Fitbit time-series endpoint, and Google Takeout fallback.\n - Captures ingestion/dedupe guidance for replacing zero Health Connect daily rows.\n\n- Added `scripts/import_google_fit_daily_steps.py`\n - Reusable Google Fit REST daily steps importer template.\n - Uses `GOOGLE_FIT_ACCESS_TOKEN` + `HEALTH_BRIDGE_TOKEN`.\n - Posts daily aggregates into Health Bridge.\n\n- Patched `health-bridge/SKILL.md`\n - Added pointers to the new reference and script.\n - Strengthened the “Cloud-vs-local history” pitfall with the exact workflow correction from this session." } ], "id": "msg_06d034090aab91f3016a0ced9df9b8819499c1799bf5c2bd05", "phase": "final_answer" } ] } ] }