{"role": "session_meta", "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_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_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 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:<screenshot_path> 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:<name>' for a provider defined in custom_providers config — always include the ':<name>' 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."}}, "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 delegation.max_concurrent_children items (default 3, configurable via config.yaml, no hard ceiling). All run concurrently and results are returned together. Nested delegation requires role='orchestrator' and delegation.max_spawn_depth >= 2.\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 delegation.max_spawn_depth (default 2) 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', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'vision', 'web', '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', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'vision', 'web', '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."}, "acp_args": {"type": "array", "items": {"type": "string"}, "description": "Per-task ACP args override."}, "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 (limit configurable via delegation.max_concurrent_children, default 3). 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. Requires delegation.max_spawn_depth >= 2 in config; ignored (treated as 'leaf') when the child would exceed max_spawn_depth or when delegation.orchestrator_enabled=false."}, "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."}, "acp_args": {"type": "array", "items": {"type": "string"}, "description": "Arguments for the ACP command (default: ['--acp', '--stdio']). Only used when acp_command is set."}}}}}, {"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  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 terminal, ...` and print your final result to stdout."}}, "required": ["code"]}}}, {"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_openclaw_attachments_fetch", "description": "List non-text attachments for a message in one OpenClaw conversation.", "parameters": {"$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": {"session_key": {"type": "string", "minLength": 1}, "message_id": {"type": "string", "minLength": 1}, "limit": {"type": "integer", "minimum": 1, "maximum": 200}}, "required": ["session_key", "message_id"]}}}, {"type": "function", "function": {"name": "mcp_openclaw_conversation_get", "description": "Get one OpenClaw conversation by session key.", "parameters": {"$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": {"session_key": {"type": "string", "minLength": 1}}, "required": ["session_key"]}}}, {"type": "function", "function": {"name": "mcp_openclaw_conversations_list", "description": "List OpenClaw channel-backed conversations available through session routes.", "parameters": {"$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": {"limit": {"type": "integer", "minimum": 1, "maximum": 500}, "search": {"type": "string"}, "channel": {"type": "string"}, "includeDerivedTitles": {"type": "boolean"}, "includeLastMessage": {"type": "boolean"}}}}}, {"type": "function", "function": {"name": "mcp_openclaw_events_poll", "description": "Poll queued OpenClaw conversation events since a cursor.", "parameters": {"$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": {"after_cursor": {"type": "integer", "minimum": 0, "maximum": 9007199254740991}, "session_key": {"type": "string"}, "limit": {"type": "integer", "minimum": 1, "maximum": 200}}}}}, {"type": "function", "function": {"name": "mcp_openclaw_events_wait", "description": "Wait for the next queued OpenClaw conversation event.", "parameters": {"$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": {"after_cursor": {"type": "integer", "minimum": 0, "maximum": 9007199254740991}, "session_key": {"type": "string"}, "timeout_ms": {"type": "integer", "minimum": 1, "maximum": 300000}}}}}, {"type": "function", "function": {"name": "mcp_openclaw_messages_read", "description": "Read recent messages for one OpenClaw conversation.", "parameters": {"$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": {"session_key": {"type": "string", "minLength": 1}, "limit": {"type": "integer", "minimum": 1, "maximum": 200}}, "required": ["session_key"]}}}, {"type": "function", "function": {"name": "mcp_openclaw_messages_send", "description": "Send a message back through the same OpenClaw conversation route.", "parameters": {"$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": {"session_key": {"type": "string", "minLength": 1}, "text": {"type": "string", "minLength": 1}}, "required": ["session_key", "text"]}}}, {"type": "function", "function": {"name": "mcp_openclaw_permissions_list_open", "description": "List open OpenClaw exec or plugin approval requests visible through the Gateway.", "parameters": {"$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": {}}}}, {"type": "function", "function": {"name": "mcp_openclaw_permissions_respond", "description": "Allow or deny one pending OpenClaw exec or plugin approval request.", "parameters": {"$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": {"kind": {"type": "string", "enum": ["exec", "plugin"]}, "id": {"type": "string", "minLength": 1}, "decision": {"type": "string", "enum": ["allow-once", "allow-always", "deny"]}}, "required": ["kind", "id", "decision"]}}}, {"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": "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 (default): find a unique string and replace it.\nPatch mode: apply V4A multi-file patches for bulk changes.", "parameters": {"type": "object", "properties": {"mode": {"type": "string", "enum": ["replace", "patch"], "description": "Edit mode: 'replace' for targeted find-and-replace, 'patch' for V4A multi-file patches", "default": "replace"}, "path": {"type": "string", "description": "File path to edit (required for 'replace' mode)"}, "old_string": {"type": "string", "description": "Text to find in the file (required for 'replace' mode). Must be unique in the file unless replace_all=true. Include enough surrounding context to ensure uniqueness."}, "new_string": {"type": "string", "description": "Replacement text (required for 'replace' mode). Can be 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": "V4A format patch content (required for 'patch' mode). 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:<account_id>' (DM), 'yuanbao:group:<group_code>' (group chat)"}, "message": {"type": "string", "description": "The message text to send. To send an image or file, include MEDIA:<local_path> (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 your long-term memory of past conversations, or browse recent sessions. This is your recall -- every past session is searchable, and this tool summarizes what happened.\n\nTWO MODES:\n1. Recent sessions (no query): Call with no arguments to see what was worked on recently. Returns titles, previews, and timestamps. Zero LLM cost, instant. Start here when the user asks what were we working on or what did we do recently.\n2. Keyword search (with query): Search for specific topics across all past sessions. Returns LLM-generated summaries of matching sessions.\n\nUSE THIS PROACTIVELY when:\n- The user says 'we did this before', 'remember when', 'last time', 'as I mentioned'\n- The user asks about a topic you worked on before but don't have in current context\n- The user references a project, person, or concept that seems familiar but isn't in memory\n- You want to check if you've solved a similar problem before\n- The user asks 'what did we do about X?' or 'how did we fix Y?'\n\nDon't hesitate to search when it is actually cross-session -- it's fast and cheap. Better to search and confirm than to guess or ask the user to repeat themselves.\n\nSearch syntax: keywords joined with OR for broad recall (elevenlabs OR baseten OR funding), phrases for exact match (\"docker networking\"), boolean (python NOT java), prefix (deploy*). IMPORTANT: Use OR between keywords for best results — FTS5 defaults to AND which misses sessions that only mention some terms. If a broad OR query returns nothing, try individual keyword searches in parallel. Returns summaries of the top matching sessions.", "parameters": {"type": "object", "properties": {"query": {"type": "string", "description": "Search query — keywords, phrases, or boolean expressions to find in past sessions. Omit this parameter entirely to browse recent sessions instead (returns titles, previews, timestamps with no LLM cost)."}, "role_filter": {"type": "string", "description": "Optional: only search messages from specific roles (comma-separated). E.g. 'user,assistant' to skip tool outputs."}, "limit": {"type": "integer", "description": "Max sessions to summarize (default: 3, max: 5).", "default": 3}}}}}, {"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=<umbrella>` 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 <name>`. 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.<name>), 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/<timestamp>.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": "vision_analyze", "description": "Inspect an image from a URL, file path, or tool output when you need closer detail than what's visible in the conversation. If the user's image is already attached to the conversation and you can see it, just answer directly — only call this tool for images referenced by URL/path, images returned inside other tool results (browser screenshots, search thumbnails), or when you need a deeper look at a specific region the main model's vision may have missed.", "parameters": {"type": "object", "properties": {"image_url": {"type": "string", "description": "Image URL (http/https) or local file path to analyze."}, "question": {"type": "string", "description": "Your specific question or request about the image to resolve. The AI will automatically provide a complete image description AND answer your specific question."}}, "required": ["image_url", "question"]}}}, {"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"]}}}], "model": "gpt-5.5", "platform": "telegram", "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "user", "content": "Konntest du deinen Vorschlag gemäss unserem Gesprächsverlauf schon komplett umsetzen? wurden alle Dokumente überprüft? hier unser Gesprächsverlauf: Du hast geschrieben: Jetzt habe ich ein vollständiges Bild des aktuellen Zustands. Lass mich dir eine fundierte Empfehlung geben:\n\n---\n\nAnalyse des aktuellen Status\n\nGesamt: 59 Dokumente in der Datenbank, aber nur 9 haben extrahierte Inhalte (15%).\n\nneu\n\n• Status: neu\n\n• Anzahl: 19\n\n• Bemerkung: Noch nie verarbeitet\n\neingearbeitet\n\n• Status: eingearbeitet\n\n• Anzahl: 29\n\n• Bemerkung: Verarbeitet, aber viele ohne Volltext\n\narchiviert\n\n• Status: archiviert\n\n• Anzahl: 11\n\n• Bemerkung: Fertige Archive\n\n**Mit extrahiertem Volltext**\n\n• Status: Mit extrahiertem Volltext\n\n• Anzahl: 9\n\n• Bemerkung: Nur diese sind durchsuchbar\n\nProblem: 50 von 59 Dokumenten haben keinen durchsuchbaren Volltext in der Datenbank. Das heisst, ich kann über Textsuche nicht auf deren Inhalt zugreifen.\n\n---\n\nMeine Empfehlung: Zweistufiger Ansatz\n\nPhase 1: Priorisierte Neubearbeitung mit Docling\n\n19 Dokumente mit Status neu — diese zuerst mit Docling verarbeiten:\n\n- 17 LABOR-Berichte (Blutwerte, Chemie, Immunologie, etc.)\n  - Docling extrahiert Tabellen sehr gut\n  - Laborwerte direkt in die laborwerte-Tabelle speichern\n  - Ermöglicht Trendanalysen und Korrelationen\n  \n- 1 BEFUNDE-Dokument (Vista Brugg)\n  - Röntgen/US-Bilder — hier ist Docling als OCR hilfreich\n\n- 1 SONSTIGES (Rheumatologie-Bericht)\n  - Arztbericht mit Volltext-Extraktion\n\nPhase 2: Überprüfen der bereits eingearbeiteten Dokumente\n\nDie 29 eingearbeiteten Dokumente müssen geprüft werden:\n- 20 davon haben keinen extrahierten Volltext — diese mit Docling nachbearbeiten\n- Vor allem die Befunde (Arztberichte) brauchen Volltext für die Suchbarkeit\n\nPhase 3: Deduplizierung\n\nIch sehe Duplicate-Einträge (z.B. ksb_rheumatologie_bericht und email_ksb_rheumatologie_thread je zweimal). Diese bereinigen.\n\n---\n\nKonkreter Vorschlag\n\nJa, ich empfehle Docling für die Neubearbeitung. Begründung:\n\n1. Docling ist bereits installiert und bewährt (MIT-Lizenz, IBM-backed)\n2. Laborberichte mit Tabellen → Docling extrahiert Tabellenstrukturen zuverlässig\n3. Arztberichte → Docling erkennt Layout, Header, reading order\n4. Scanned pages → Docling macht automatische OCR auf Bild-Seiten\n\nPaddleOCR zusätzlich? Nur in folgenden Fällen:\n- Wenn Docling bei bestimmten Dokumenten versagt (selten)\n- Für reine Bild-PDFs (Vista Brugg Fotos) — hier könnte PaddleOCR als Fallback dienen\n\nMein Vorschlag:\n1. Hauptwerkzeug: Docling für alle 59 Dokumente\n2. Fallback: PaddleOCR nur für Dokumente, wo Docling qualitativ schlecht abschneidet\n3. Validierung: Nach der Extraktion automatisch prüfen, ob wesentliche Inhalte (Werte, Diagnosen, Datums) vorhanden sind\n4. Indexierung: Extrahierten Text in extrahierte_inhalte-Spalte speichern — so kann ich per SQL-Suche darauf zugreifen\n\nSoll ich mit der Docling-Bearbeitung der 19 neu-Dokumente beginnen? Oder möchtest du zuerst entscheiden, welcher Ansatz dir zusagt?\nHier meine Antwort aus dem Chat: ich finde deinen Vorschlag gut. bitte setze das so um und gib mir Bescheid wenn du fertig bist. für die sicherstellung dass die Laborwerte welche per OCR extrahiert wurden in der Datenbank korrekt sind, habe ich dir nochmals die XLSX der von mir zusammengetragenen Laborwerte gesendet (auf deine Emailadresse friday.uplink@gmail.com). wenn ich dich später mal nach einem ausdruck der laborwerte frage, sollte dieser auch so aussehen wie dieser (eine Spalte pro Laboruntersuch bzw. Datum, eine Zeile pro Blut- bzw. Urinwert). erstelle ein skript welche aus der datenbank diesen Bericht \"aktuelle Blutwerte\" erstellt (ich glaube diese Aufgabe hast du schon erledigt; kontrolliere und optimiere dieses skript für das bestmögliche resultat). Bovor du loslegst: verschaffe dir nochmals eine komplette übersicht über unser Gesundheits-ablagesystem, die Datenbankstruktur, die Skripte und Workflows. Mach mir danach eine detailierte aufstellung wie du vorgehen willst und wie das gesamte Gesunheits-management-system aktuell aufgebaut ist und wie du es optimieren würdest.", "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "assistant", "content": "", "reasoning": "**Considering health skill implementation**\n\nI need to check if our health skill is implemented. It might require inspecting past conversations to gather context from the user. I’m thinking of using session_search to track relevant health inquiries. The AGENTS mention using openclaw for various operations like file access, terminal commands, or executing code, so I should load health skills that are pertinent. Alright, let's get everything aligned to provide the right answer!", "finish_reason": "tool_calls", "reasoning_content": "**Considering health skill implementation**\n\nI need to check if our health skill is implemented. It might require inspecting past conversations to gather context from the user. I’m thinking of using session_search to track relevant health inquiries. The AGENTS mention using openclaw for various operations like file access, terminal commands, or executing code, so I should load health skills that are pertinent. Alright, let's get everything aligned to provide the right answer!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAyN-vEqh6_QcGq5GV77QK73bOFzHg5sBA2Cx7YPTTDp1xS2KKZrAuxnOT4_9qAFn4j81lW37lbhGvoDSv-PUGY-G_UmRS6vsBhc_q6WUZQQX_INiaKtAmlYF61bLYQkPdI4hmSqGFJ4pfojBclygisBLPfYvl0UkOAInm1tPaxXDD5rTZWUvhMIVsljGFzj5scembZGr0aI0UJZ6yO5ltbOWXEhFqpNvco3MCF-Bpt0_C7QhIMAeNN6TqEcMWgO1dXpTRV9EWtN3QX1XTNzh41LfodHLEPdKGJnGQ8wZSgqg2dGRlIiBriFOXvGgR6TO8HCTzBV1csCRNROH7ChQeGx-X76C3THPqYjjt4ozb4DuLqF1fQDNkBTS0DlT3B8D62cATjB0O2Jbg3H9Au2m063gPzUHIfboI81OvB84Td7wsPOlP3HAgmJfiwdkXX1YMg0Mwsy5d4GwSFFSaz2tKNFyJwVgRtqmP69AcQOW8BzrvWgsP6V5S7H9FqQ7tE3uubUuYe89cE11Eoe52eGJBTWYyHJ47Xs--KRVua1Y_tucfeUMKQGoVrhB6zTy0k8CKxyp5V7Gfahk9WXEfaxs3-dJ5DqOWXnmR9VNm6_GdwyrnDoogZ4ZC1pPP8mgx45xCttOssqPnGTTWRTgZSgMZuoPdnGamslM1ZYD-n6V8L5HoTVFYu6XAT_UZEE6rG4zdfaZ9JInp0HNoiuVHuOlffDQHkma-m4EKkOFtVcR5PEBX3BHy9k9leLa7tUN4_31vq_VOnhqWY5a2CJSS_uPg12_Dno-QtiujiM9FSaFy0AFncvqLBkAyMORW8YXSm10gmH8uvz8hLZwygjFxnVlM7U65-LHXULSaNFf1i34vfc5GGhp8Cc4EW2ySUCLSLWQxqamyN3kHfNZPYJGC47qAdAht-oQkaYQ_Aj9voedm8hZOCmb9mHt-WQn1dDKIX578ty1CfrwoeW99NhMopRPVboLsi1oYVoTeuS2ub0PLBe3O7zlAr2RSGsQBI24WbBcX-2-3MQqO-KYAY_aEy8iw4g-f6OyWFhPM8f3cqsutt--X3gyb6uId7TneFlw6oqOfOCHrRunPvWaBICGwwKuNeHWhzMhzNp9WVWxJBzfmlQ7zi4jqW4P0LqQm7DQsrtNuedXg2Gh26i8BQxa1es6lhSUkOa_Wmwhf1RdZrWMc6ukhtIZ0NpqAvqkTdx8W0F8WpIzxwaZ-85ws7RUcxhdPDjqRw==", "id": "rs_0f5ed2efe080686c016a03237adde88191baed5adcc013313a", "summary": [{"type": "summary_text", "text": "**Considering health skill implementation**\n\nI need to check if our health skill is implemented. It might require inspecting past conversations to gather context from the user. I’m thinking of using session_search to track relevant health inquiries. The AGENTS mention using openclaw for various operations like file access, terminal commands, or executing code, so I should load health skills that are pertinent. Alright, let's get everything aligned to provide the right answer!"}]}], "tool_calls": [{"id": "call_sVFgGFWhj0c1HH4lXDgJnah0", "call_id": "call_sVFgGFWhj0c1HH4lXDgJnah0", "response_item_id": "fc_0f5ed2efe080686c016a03237ea7bc8191801b8c90b723c8d5", "type": "function", "function": {"name": "skill_view", "arguments": "{\"name\":\"health-data-management\"}"}}], "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"health-data-management\", \"description\": \"Gesundheitsdaten-Verwaltungssystem — JARVIS verwaltet alle Gesundheitsdaten (Laborwerte, Dokumente, Symptome, Auswertungen)\", \"tags\": [\"health\", \"database\", \"pdf\", \"camelot\", \"watchdog\", \"statistics\"], \"related_skills\": [], \"content\": \"---\\nname: health-data-management\\ndescription: Gesundheitsdaten-Verwaltungssystem — JARVIS verwaltet alle Gesundheitsdaten (Laborwerte, Dokumente, Symptome, Auswertungen)\\nversion: 2.0.0\\ntags: [health, database, pdf, camelot, watchdog, statistics]\\n---\\n\\n# Health Data Management — Chief Medical Data Officer\\n\\n## Übersicht\\n\\nAlle Gesundheitsdaten unter `~/.hermes/assets/Gesundheit/`.\\n241 Laborwerte, 59 Dokumente (9 mit extrahiertem Volltext), 244 Events, 3 Medikamente.\\nMaster-Datenbank: `health_data.db` mit 12 Tabellen.\\n\\n**Docling-Reprocessing:** 50 von 59 Dokumenten haben keinen durchsuchbaren Volltext. Siehe `references/docling-reprocessing-workflow.md` für den Bearbeitungsplan.\\n\\n## Verzeichnisstruktur\\n\\n```\\nGesundheit/\\n├── health_data.db          # Master-Datenbank (12 Tabellen)\\n├── inbox/                  # Neue Dokumente (Watchdog überwacht)\\n├── processed/              # Verarbeitete Dokumente\\n├── archiv/                 # Alle Dokumente kategorisiert\\n│   ├── laborberichte/\\n│   ├── klinische_befunde/\\n│   ├── medikamente/\\n│   ├── krankheitsgeschichte/\\n│   ├── wearables/\\n│   ├── ernaehrung/\\n│   └── sonstiges/\\n├── reports/                # Generierte Reports (PNG, HTML)\\n├── scripts/                # Verarbeitungs-Skripte\\n│   ├── health_manager.py       # Haupt-Manager (CRP, Korrelationen, Dashboards)\\n│   ├── health_watchdog.py      # Daemon für automatische PDF-Verarbeitung\\n│   ├── health_watchdog.sh      # Start/Stop/Status Wrapper\\n│   └── verify_system.py        # System-Verification\\n├── backup_original/        # FRIDAY-Backup (62 Dateien)\\n└── logs/                   # Watchdog-Logs\\n```\\n\\n## Datenbank-Schema (12 Tabellen)\\n\\n1. **laborwerte** — 241 Laborwerte (aktuell, Stand Mai 2026)\\n2. **health_events** — 244 Events\\n3. **dokumente** — 59 Dokumente (Stand Mai 2026), mit CHECK constraints: `status IN ('neu','eingearbeitet','archiviert')`, `daten_typ IN ('pdf','image')`\\n4. **medikamente** — 3 Medikamente (Colchicine, Eliquis, Prednison)\\n5. **dokumente_status** — Status-Tracking (3 Einträge)\\n6. **symptome** — Symptom-Tracking (1 Eintrag)\\n7. **symptom_log** — Symptom-Tagebuch (0 Einträge)\\n8. **vitalzeichen** — Blutdruck, Puls, Temperatur (0 Einträge)\\n9. **arztbesuche** — Arztbesuche (1 Eintrag)\\n10. **ernaehrung** — Ernährungsdaten (5 Einträge)\\n11. **auswertungen** — Generierte Reports (0 Einträge)\\n12. **processing_log** — Verarbeitungsprotokoll\\n\\n**Pitfall:** Nur 9 von 59 Dokumenten haben `extrahierte_inhalte` (Volltext) in der Datenbank — diese sind durchsuchbar. 50 Dokumente haben keinen extrahierten Text. Docling-Reprocessing empfohlen (siehe unten).\\n\\n## Workflow\\n\\n### Dokumenten-Klassifizierung (KRITISCH)\\n\\n**Arztbericht** (Ambulanter Bericht, Konsultation, Visitenbericht):\\n- Kategorie: `BEFUNDE`\\n- Methode: PyMuPDF (fitz) → Volltext extrahieren\\n- Speicherung: Volltext in `extrahierte_inhalte` für spähere Abfragen\\n- Metadaten: Dokumentdatum, Behandler, Diagnose als Annotation am Textbeginn\\n- Datei: `archiv/befunde/`\\n\\n**Laborbericht** (Blutwerte, Urin, Befunde mit tabellarischen Werten):\\n- Kategorie: `LABOR`\\n- Methode: Camelot/pdfplumber → tabellarische Werte extrahieren\\n- Speicherung: Einzelne rows in `laborwerte` Tabelle\\n- Datei: `archiv/laborberichte/`\\n\\n**Sonstiges** (Rezepte, Sonstiges):\\n- Kategorie: `SONSTIGES`\\n- Methode: Je nach Inhalt\\n- Datei: `archiv/sonstiges/`\\n\\n### Verarbeitungsablauf\\n\\n1. Dokument → `inbox/` kopieren\\n2. Dokument-Typ klassifizieren (Arztbericht vs. Laborbericht)\\n3. **Fallback:** Watchdog-Daemon ist unzuverlässig → manuell verarbeiten mit `health_manager.process_inbox_pdf()`\\n4. Bei Arztbericht: PyMuPDF Volltext → Datenbank (extrahierte_inhalte)\\n5. Bei Laborbericht: Camelot/pdfplumber → laborwerte Tabelle\\n6. Metadaten extrahieren (Datum, Behandler, Diagnose) → im Text annotieren\\n7. Datenbank-Eintrag erstellen/aktualisieren mit korrekter Kategorie\\n8. Status auf `eingearbeitet` setzen\\n9. Datei an korrekten Archiv-Ort verschieben\\n\\n## Health Manager Subagent\\n\\n### Haupt-Skript: `health_manager.py`\\n\\n**Methoden:**\\n- `get_laborwerte(parameter, start_date, end_date)` — Laborwerte laden (FRIDAY-Schema: `parameter_name`, `ermittlung_datum`)\\n- `compute_crp_trend()` — CRP-Trend mit scipy (P-Werte)\\n- `compute_correlations(target_parameter)` — Korrelationsanalyse mit statsmodels\\n- `generate_plotly_dashboard(output_path)` — Interaktives HTML-Dashboard\\n- `generate_profiling_report(output_path)` — ydata-profiling HTML-Report\\n- `generate_heatmap(parameter_list, output_path)` — Heatmap mit matplotlib/seaborn\\n- `process_inbox_pdf(pdf_path)` — Manuelle PDF-Verarbeitung\\n\\n### Watchdog-Daemon\\n\\n```bash\\n# Starten\\nbash ~/.hermes/assets/Gesundheit/scripts/health_watchdog.sh start\\n\\n# Stoppen\\nbash ~/.hermes/assets/Gesundheit/scripts/health_watchdog.sh stop\\n\\n# Status\\nbash ~/.hermes/assets/Gesundheit/scripts/health_watchdog.sh status\\n\\n# Neustarten\\nbash ~/.hermes/assets/Gesundheit/scripts/health_watchdog.sh restart\\n```\\n\\n### Python-Umgebung\\n\\n- Skripte laufen unter `/usr/bin/python3.12`\\n- Alle Pakete: `pip install --break-system-packages`\\n- Watchdog-PID: `~/.hermes/assets/Gesundheit/health_watchdog.pid`\\n- System-Verification: `python3.12 scripts/verify_system.py`\\n\\n## Support Files\\n\\n- `references/drive-workflow.md` — Google Drive Befehle, Folder-IDs, Upload/Download-Workflow\\n- `references/gog-email-attachments.md` — GOG Gmail Attachment-Download, Umbenennung langer Dateinamen, Dokumenten-Verarbeitung\\n- `references/friday-db-schema-compat.md` — FRIDAY-Schema-Kompatibilität, Debugging-Checkliste, Wert-Konvertierung\\n- `references/health-manager-pitfalls.md` — Häufige Bugs: Variable Shadowing, CHECK-Constraints, Watchdog-Management, FRIDAY-Kompatibilität\\n- `references/document-classification.md` — Arztbericht vs. Laborbericht Klassifizierung, Quick-Decision-Tree\\n- `references/labor-report-generation.md` — Laborbericht-Erstellung aus XLSX, Pivot-Tabellen, Kategorien-Struktur, `ermittlung_datum`-Pitfall\\n\\n## Google Drive Integration\\n\\n### Drive-Ordner-Struktur\\n\\n- **Gesundheitsdaten Inbox** (Upload-Ort): `1HOJXzIjJaUUoLGZgJjAR5V6ZCsOBsGgE`\\n- **Archiv** (Verarbeitete Dokumente): `1H2zXafzbaRobY8XDcPyRpZBE6mXeTcJe`\\n\\n### Drive-Workflow: Neue Dokumente aus Google Drive Inbox verarbeiten\\n\\n1. **Inbox prüfen:** `gog -a friday.uplink@gmail.com drive ls --parent <inbox_id> --json`\\n2. **Neue Dateien identifizieren** (nicht im lokalen Archiv vorhanden)\\n3. **Download:** `gog -a friday.uplink@gmail.com drive download <file_id>`\\n4. **Lokale Kopie** nach `~/.hermes/assets/Gesundheit/inbox/` verschieben\\n5. **Dokument klassifizieren** (Arztbericht vs. Laborbericht)\\n6. **Text extrahieren** (PyMuPDF für PDFs, Camelot für Labor-Tabellen)\\n7. **Datenbank aktualisieren** (laborwerte, health_events, dokumente)\\n8. **Datei ins lokale Archiv** verschieben\\n9. **Datei ins Google Drive Archiv** hochladen: `gog -a friday.uplink@gmail.com drive upload <local_path> --parent <archiv_id>`\\n10. **Datei aus Inbox löschen** (optional: `gog drive delete <file_id>`)\\n11. **Benachrichtigung** an den User über die Erkenntnisse\\n\\n### Pitfalls\\n\\n- **`gog gmail attachment <msgId> <attachId> --output <path>`** — korrekter Befehl zum Herunterladen von E-Mail-Anhängen. Die Attachment-ID ist NICHT die Drive-Datei-ID.\\n- **`--parent <folder_id>`** statt `--folder` Flag verwenden (Flag `--folder` existiert NICHT)\\n- **`gog drive move`** verwendet `--parent <folder_id>`, NICHT `--to` oder `--id`\\n- **`--json`** Flag für parsebare JSON-Ausgabe\\n- Drive-Download speichert in `~/.config/gogcli/` mit GENERIERTEM Dateinamen — Datei muss manuell umbenannt und verschoben werden\\n- **`gog drive download`** ohne Parameter zeigt nur Root-Ordner — immer `--parent` mit Folder-ID verwenden\\n- OCR bei reinen Bild-PDFs (scanned): Tesseract PSM=6 für tabellarische Daten, aber viele Werte können im PDF selbst obscured sein — prüfen ob Werte lesbar bevor man OCR durchführt\\n- Python-Pakete (fitz, pytesseract) liegen in `~/.local/lib/python3.12/site-packages`, NICHT im hermes-agent venv\\n- FRIDAY wird NICHT mehr für Gesundheitsdaten verwendet — alles JARVIS\\n- `backup_original/` enthält alle Originaldateien\\n- Werte `'<5.0'` etc. müssen vor numerischen Operationen geparsed werden (`lstrip('<>=')`)\\n- Datenbank-INSERTs prüfen CHECK-Constraints: `status` muss `'neu'`, `'eingearbeitet'` oder `'archiviert'` sein; `daten_typ` muss `'pdf'` oder `'image'` sein\\n- Watchdog-Daemon unzuverlässig → manuelle Verarbeitung mit `health_manager.process_inbox_pdf()` bevorzugen\\n- **`.xlsx` Dateien:** Mit `openpyxl` lesen, als Volltext in Datenbank speichern (keine Laborwerte!)\\n- **Laborbericht-Erstellung:** Skript `scripts/generate_labor_report.py` erstellt pivot-Tabellen aus XLSX-Referenzdaten. Format: Spalten pro Blutabnahme, Zeilen pro Parameter, sortiert nach Kategorien. XLSX als primäre Datenquelle verwenden — `ermittlung_datum` in der DB ist OCR-Verarbeitungsdatum, nicht tatsächliches Abnahmedatum.\\n- Immer Dokumentendatum innerhalb des Dokuments extrahieren und im Text annotieren: `[DOKUMENTDATUM: YYYY-MM-DD]`\\n- **STT für Sprachnachrichten:** faster-whisper mit `medium` Modell, Sprache `de`. Installation via `uv pip install`. Gateway restart nach Config-Änderungen. Schweizerdeutsch wird NICHT unterstützt.\\n- **Tagebuch-Workflow:** User sendet Einträge per Telegram (#ernaehrung, #symptom, etc.). Unstrukturierte Eingabe — Agent extrahiert automatisch Datum, Kategorie, Inhalt.\", \"path\": \"health/health-data-management/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/health/health-data-management\", \"linked_files\": {\"references\": [\"references/gog-email-attachments.md\", \"references/friday-db-schema-compat.md\", \"references/document-classification.md\", \"references/docling-reprocessing-workflow.md\", \"references/labor-report-generation.md\", \"references/health-manager-pitfalls.md\", \"references/drive-workflow.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_sVFgGFWhj0c1HH4lXDgJnah0", "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_pMExhi4Tfwe85i90ejnwH5u3", "call_id": "call_pMExhi4Tfwe85i90ejnwH5u3", "response_item_id": "fc_014aad89665b3667016a032380ff6c819195cf43bbe1e41dee", "type": "function", "function": {"name": "skill_view", "arguments": "{\"name\":\"health-management\"}"}}], "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"health-management\", \"description\": \"Health data management — lab values, symptom tracking, nutrition logging, correlation analysis, and doctor report generation.\", \"tags\": [], \"related_skills\": [], \"content\": \"---\\nname: health-management\\ndescription: \\\"Health data management — lab values, symptom tracking, nutrition logging, correlation analysis, and doctor report generation.\\\"\\nversion: 1.0.0\\nauthor: Hermes Agent\\ncategory: health\\n---\\n\\n# Health Management System\\n\\n## Datenbank-Struktur (`health_data.db`)\\n\\n### Tabellen\\n- **laborwerte**: Alle Laborwerte mit Datum, Wert, Einheit, Referenzbereich\\n- **ernaehrung**: `datum, mahlzeit, beschreibung, wirkung, notizen`\\n- **symptome**: `datum, kategori, symptom, schwergrad, wirkung, notizen`\\n- **tagebuch**: `datum, kategori, titel, inhalt, wirkung, verknuepft, notizen` — Haupttabelle für alle Einträge\\n- **arztbesuche**: `datum, arzt, klinik, grund, zusammenfassung, labor_verweis, notizen`\\n- **korrelationen**: `datum, faktor, auswirkung, stärke, notizen` — Automatische Korrelationen\\n\\n## Workflow\\n\\n### 1. Neue Laborwerte\\n- Neue XLSX-Datei in `inbox/` ablegen\\n- Extrahiere Werte → aktualisiere `laborwerte` Tabelle\\n- Historische Werte bleiben für Trendanalyse\\n\\n### 2. Tagebuch-Einträge per Telegram\\n- Tags: `#ernaehrung`, `#symptom`, `#medikament`, `#sport`, `#schlaf`, `#stress`, `#arzt`\\n- Format: `#tag DATUM Beschreibung → Wirkung`\\n- Speichere in `tagebuch` + spezifische Tabellen\\n- User sendet unstrukturiert — Agent extrahiert automatisch Datum, Kategorie, Inhalt\\n\\n### 3. Ernährungsstrategie-Referenz\\n- Therapeutische Ernährungsstrategie als Referenz-Eintrag in `tagebuch` gespeichert\\n- Titel: \\\"Therapeutische Ernährungsstrategie — Vollständige Referenz\\\"\\n- Enthält: Ziele, Fokus, No-Gos\\n- Jeder Ernährungseintrag wird automatisch damit abgeglichen\\n\\n### 4. Strategie-Check (Cron-Job)\\n- Job-ID: `78a4dd51c834` — läuft täglich um 19:00\\n- **Bedingte Ausführung:** Nur wenn Ernährungseinträge für den Tag existieren\\n- Bei Einträgen: Erstelle Check mit ✅/❌/⚠️ Bewertung gegen Strategie\\n- Bei 0 Einträgen: Silent exit (kein Bericht)\\n- Format: Pro-Mahlzeit-Bewertung mit Begründung basierend auf No-Gos/Positive-Items\\n\\n### 5. Arztberichte\\n- Arztbesuch per Telegram: `#arzt DATUM Arzt/Klinik Grund Zusammenfassung`\\n- Generiere Bericht: Korreltiere Arztbesuche + Laborwerte + Symptome\\n\\n### 6. Korrelationsanalyse\\n- Automatisch Korrelationen zwischen Ernährung/Symptomen/Laborwerten finden\\n- Speichere in `korrelationen` Tabelle\\n- Erstelle periodische Reports\\n\\n## Telegram-Format\\n```\\n#ernaehrung 2026-05-10\\nMittag: Linsensuppe → Müdigkeit\\n\\n#symptom 2026-05-10\\nMüdigkeit (leicht) — nach Linsensuppe\\n\\n#arzt 2026-05-10\\nDr. Scheidegger, Hautarzt — Auge kontrolliert, Heilung fortschreitend\\n```\\n\\n## Single Source of Truth\\n- Excel-Datei in `inbox/` (z.B. `260510_Laborwerte_Uebersicht.xlsx`)\\n- User kann selbst kontrollieren/anpassen\\n- Datenbank wird daraus generiert\\n\\n## Ernährung-Strategie-Korrelation\\n- Therapeutische Ernährungsstrategie als Referenz-Eintrag in `tagebuch` gespeichert\\n- Titel: \\\"Therapeutische Ernährungsstrategie — Vollständige Referenz\\\"\\n- **Jeder Ernährungseintrag wird automatisch damit abgeglichen**\\n- No-Gos: Schweinefleisch, Weizen/Gluten, Industriezucker, Histamin-Bomben, Nachtschatten, gesättigte Fette\\n- Positive Items: Omega-3, Ballaststoffe, mageres Protein, Kollagen/Butyrat\\n- Strategie-Check (Cron-Job `78a4dd51c834`) läuft täglich um 19:00 — nur bei Ernährungseinträgen\\n\\n## YAZIO-Integration\\n- Skill `yazio-integration` verwaltet den Zugriff auf die YAZIO-API\\n- Täglich geloggte Mahlzeiten automatisch ins `ernaehrung`-Table übernehmen\\n- Ermöglicht automatische Korrelation zwischen YAZIO-Einträgen und Symptomen\\n- Siehe `references/yazio-api-notes.md` für API-Details\\n\\n## Gesundheitsdaten per E-Mail (Cron-Job)\\n- Täglich um 23:10 prüft Cron-Job `502d577ab406` Gmail auf E-Mails von `quickview.newsflash@gmail.com` oder `gasser.m@icloud.com` mit Betreff `Gesundheitsdaten [Datum]`\\n- Verwendet `gog` CLI mit `GOG_KEYRING_PASSWORD=LammBitch30` und `-a friday.uplink@gmail.com`\\n- Script: `~/.hermes/scripts/yazio_gesundheitsdaten_sync.py`\\n- **Duplikatsschutz:** Vor dem Einfügen prüft das Script, ob bereits ein Eintrag mit ähnlichem Betreff existiert — überspringt Duplikate\\n- Werte werden in `tagebuch` Tabelle eingetragen mit Kategorie `gesundheit`\\n- Unterstützt JSON-Body und strukturierten Text (Schritte, HR, HRV, Respiratory Rate, etc.)\\n\\n## Pitfalls\\n- **faster-whisper muss installiert sein** für STT (local provider)\\n- **Installiere über `uv`:** `/home/agent/.hermes/hermes-agent/venv/bin/pip` funktioniert nicht (kein pip im venv) — verwende `uv pip install`\\n- **Modell `medium` ist konfiguriert** (25MB) — gute Deutsch-Genauigkeit, angemessene Geschwindigkeit\\n- **Sprache explizit auf `de` setzen** — Auto-Detect ist unzuverlässig\\n- **Schweizerdeutsch wird NICHT unterstützt** — Whisper transkribiert Dialekt fehlerhaft\\n- User spricht Hochdeutsch für beste STT-Ergebnisse\\n- **Gateway neustarten nach STT-Config-Änderungen** — `openclaw gateway restart`\\n- **Duplikate bei Gesundheitsdaten:** Vor dem Einfügen immer prüfen, ob Eintrag bereits existiert. Nutze `~/.hermes/scripts/yazio_gesundheitsdaten_sync.py` für automatisierten Sync mit Duplikatsschutz.\\n- **gog CLI:** Immer `GOG_KEYRING_PASSWORD=LammBitch30` und `-a friday.uplink@gmail.com` setzen. Ohne beides: `no TTY available for keyring file backend password prompt`.\\n\", \"path\": \"health-management/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/health-management\", \"linked_files\": {\"references\": [\"references/stt-konfiguration.md\", \"references/ernaehrung-strategie.md\", \"references/gesundheitsdaten-email-pattern.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_pMExhi4Tfwe85i90ejnwH5u3", "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_x6T1XpiajZdNhv9TphQQVCqR", "call_id": "call_x6T1XpiajZdNhv9TphQQVCqR", "response_item_id": "fc_0dc9086474702b8b016a032382fd8481918ff48eed8d262830", "type": "function", "function": {"name": "skill_view", "arguments": "{\"name\":\"health-data-management\",\"file_path\":\"references/docling-reprocessing-workflow.md\"}"}}], "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"health-data-management\", \"file\": \"references/docling-reprocessing-workflow.md\", \"content\": \"# Docling Reprocessing Workflow — Gesundheitsdokumente\\n\\n## Problemstellung (2026-05-12)\\n\\nVon 59 Dokumenten in der Datenbank haben nur 9 extrahierte Volltexte (`extrahierte_inhalte` nicht leer). 50 Dokumente sind nicht durchsuchbar.\\n\\n## Dokumentenstatus (Mai 2026)\\n\\n| Status | Anzahl | Durchsuchbar? |\\n|--------|--------|---------------|\\n| `neu` | 19 | ❌ Nein |\\n| `eingearbeitet` | 29 | ⚠️ Nur ~9 mit Volltext |\\n| `archiviert` | 11 | ✅ Ja |\\n\\n## Priorisierte Reihenfolge\\n\\n### Phase 1: 19 `neu`-Dokumente\\n- **17 LABOR-Berichte** → Docling → Tabellen in `laborwerte`-Tabelle\\n- **1 BEFUNDE** (Vista Brugg) → Docling OCR\\n- **1 SONSTIGES** (Rheumatologie) → Docling Volltext\\n\\n### Phase 2: 29 `eingearbeitet` ohne Volltext\\n- Vor allem BEFUNDE nachbearbeiten\\n- Docling für Volltext-Extraktion verwenden\\n\\n### Phase 3: Deduplizierung\\n- Duplicate-Einträge bereinigen (z.B. `ksb_rheumatologie_bericht` x2, `email_ksb_rheumatologie_thread` x2)\\n\\n## Docling Befehl\\n\\n```bash\\n# Im hermes-agent venv\\ncd /home/agent/.hermes/hermes-agent && uv pip install docling\\n\\n# CLI\\ndocling /pfad/zum/dokument.pdf\\n\\n# Python API\\nimport sys\\nsys.path.insert(0, \\\"/home/agent/.hermes/hermes-agent/venv/lib/python3.11/site-packages\\\")\\nfrom docling.document_converter import DocumentConverter\\nconverter = DocumentConverter()\\nresult = converter.convert(\\\"dokument.pdf\\\")\\nprint(result.document.export_to_markdown())\\n```\\n\\n## PaddleOCR Fallback\\n\\nNur verwenden wenn Docling versagt (selten):\\n```bash\\ntesseract input.png output -l deu+eng --psm 6 --oem 3\\n```\\n\\n## Validierung\\n\\nNach der Extraktion prüfen:\\n1. Sind Laborwerte vollständig extrahiert?\\n2. Sind Diagnosen und Datums enthalten?\\n3. Ist der Text lesbar und strukturiert?\\n4. `extrahierte_inhalte`-Feld in DB aktualisieren\\n\", \"file_type\": \".md\"}", "tool_call_id": "call_x6T1XpiajZdNhv9TphQQVCqR", "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "assistant", "content": "", "reasoning": "**Inspecting implementation details**\n\nI need to look into the actual implementation to see how everything works. It seems like a good idea to use session_search to review past activities. That's probably the best way to gather the needed information. I'm hoping this will help clarify any questions I have and make everything smoother moving forward. I just want to ensure that I’m thorough in this process!", "finish_reason": "tool_calls", "reasoning_content": "**Inspecting implementation details**\n\nI need to look into the actual implementation to see how everything works. It seems like a good idea to use session_search to review past activities. That's probably the best way to gather the needed information. I'm hoping this will help clarify any questions I have and make everything smoother moving forward. I just want to ensure that I’m thorough in this process!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAyOIT-D5wc46N9yMKnfrwBOjR1l18yPSIX6_w3nqfwTjFBjNC1VlsVEF5a91iUBDrKDtb7lL3Qyedb5iPxp01L00Esc-JpxmQr7ML2RRAtjBf54uG5gnV6aZ8LCtF4Y0jg4krSCZ2xMPvGqWVKREw2tm-fG9oTNvuHHX55bQyMlzkcOA8ub2TSDXlsTr8EFQfIQ5sxr3bZ7tL-Y9Vh6YYWRiogcMhnRgv8anw_DTqN0AxO5BLiEk0h20qtrHRSobSY_hm-5IR4U4D7ACXmOVLzlK2sqRin4zkHkXN6g4STvZfNnFJrmtjHBjO-No4Ujon4CTDRwEuxXx2wgq11CwoDPC5BDTz-Gl4q2Ga-lWp8JB84Jry9Gf4SmBpqcJah2OEZBh4R2WUB7B3o-a2ghFZDCYDZpfLJ-JmYWRqUUcyqM6UGtQv0wlIuqr5stO5DXOMh6bdNL2lMgo_icLuHdwemNcCHFO45cFv-92EdDjTURDyhKVSpbFKWnxGWdZcTh3WQUDMtwqE44FCRdAVJtpbIDDyrArSDX2zaRATKv3n7FogVMohaBydxQLYtSWDEXXm7NvspHwVxHWsB54JesudL0e8KcJzm7zLILLXHdrSlXJnLVLqb9Jl95gdFGU57XN_bA0m80qPkHf2QjUoqp2-Zc8ZUTacfghYIaAmg2r7TanMLzPnX_CiXWBrv2m6-VHpYgNsHl0ieHzvw3AguBh7nNXZyRo479rGgnL5D69krvdNKCwvq2Bo8uAPaEukclCQhDSvgo9NGBQJpjOMs5fBiCqr0be-Gk9-wMcqa5n7r6N3DSMQEBd_5GlDN8GzAdaUl1II-7Efcbj7zoo4sH4OYP2tf7tpbamvuBHsv-ydHXg8RxhaWSjX54GT9FjJnZ2Cg6Ke4V-2VaCXyTaVr0xhTi7i3oWnGIIuGwX9n1Bon_4_kdm12ptWuOZrmit_CcOc1YUw-HWpUugXi-RzsLcWNhW5o1XsYXkOIzNwH3mdWJA9Gqw4p2E0r0eRhM9oxnlzrDA", "id": "rs_0741bfdd60c27355016a032386315c81918591a149a739f95a", "summary": [{"type": "summary_text", "text": "**Inspecting implementation details**\n\nI need to look into the actual implementation to see how everything works. It seems like a good idea to use session_search to review past activities. That's probably the best way to gather the needed information. I'm hoping this will help clarify any questions I have and make everything smoother moving forward. I just want to ensure that I’m thorough in this process!"}]}], "tool_calls": [{"id": "call_H1eo2Y7EXPhirenqZhS1itoP", "call_id": "call_H1eo2Y7EXPhirenqZhS1itoP", "response_item_id": "fc_0741bfdd60c27355016a032388f99c8191b0e6afc26d91542e", "type": "function", "function": {"name": "session_search", "arguments": "{\"query\":\"Docling Reprocessing Gesundheitsdokumente Laborwerte aktuelle Blutwerte generate_labor_report OR health_data.db OR Docling\",\"limit\":5}"}}], "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "tool", "name": "session_search", "content": "{\"success\": true, \"query\": \"Docling Reprocessing Gesundheitsdokumente Laborwerte aktuelle Blutwerte generate_labor_report OR health_data.db OR Docling\", \"results\": [{\"session_id\": \"20260510_083022_d0400824\", \"when\": \"May 10, 2026 at 08:30 AM\", \"source\": \"telegram\", \"model\": \"qwen-3.6-agent\", \"summary\": \"[Raw preview — summarization unavailable]\\n...[earlier conversation truncated]...\\n\\n│             │                          │ cloud)                                                 │                    │\\\\n│ ✓ ready     │ 📦 skill-creator         │ Create, edit, improve, tidy, review, audit, or         │ openclaw-bundled   │\\\\n│             │                          │ restructure AgentSkills and SKILL.md files.            │                    │\\\\n│ ✓ ready     │ 📦 skill-vetter          │ Security-first skill vetting for AI agents. Use      \\n…[truncated]\"}, {\"session_id\": \"20260512_054033_bd581b66\", \"when\": \"May 12, 2026 at 05:40 AM\", \"source\": \"telegram\", \"model\": \"qwen-3.6-agent\", \"summary\": \"[Raw preview — summarization unavailable]\\n[USER]: Bitte das bereits verarbeitete email als gelesen markieren und ins Archiv verschieben.\\n\\n[ASSISTANT]: [Called: skill_view]\\n\\n[ASSISTANT]: Ich werde die letzte verarbeitete E-Mail als gelesen markieren und ins Archiv verschieben.\\n\\n[TOOL]: {\\\"success\\\": false, \\\"error\\\": \\\"Skill 'gmail-archive' not found.\\\", \\\"available_skills\\\": [\\\"cronjob\\\", \\\"dogfood\\\", \\\"edge-tts\\\", \\\"health-management\\\", \\\"yazio-integration\\\", \\\"yuanbao\\\", \\\"claude-code\\\", \\\"codex\\\", \\\"hermes-agent\\\", \\\"opencode\\\", \\\"architecture-diagram\\\", \\\"ascii-a\\n…[truncated]\"}], \"count\": 2, \"sessions_searched\": 2}", "tool_call_id": "call_H1eo2Y7EXPhirenqZhS1itoP", "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAyO1LO63VDY-fcvLyjJEGp1kPd4BUiCCGr6ukp6j5TMpbvOfbp_6s9Yeb9R1P4_-F8TwcCjRopssoFtQYOW8RbW3Dr5gSXmcOH5EHAFXKw5hHlpiRSyeLldNw567Rkf5zrneHQXNRlI-iIdGo3Oke5Dy8hSRJIsIBPORCTmaIGabpFYKeGR0yOcuSAEePW8TZTbmzb7hasNWT--PcQQXDy65iEyb3by7U3ZqmKAJ8bjKvWPLlZBQ1GvcNNNgJX3avsVYcQnCu2lLhdliYdrWRRAtjA38ekx7toVOAdNvzSnGFAUpHrZTYn_yHCKvYxrDpXNmEDi7qwL85DcEbe4PQmqbPCG7uIzktBYrJMIhFStEupcdync7QolDhsELKQf3dpNPrzEyNLchJpelwtfnWi9MAwbTvPDV1szbGfipj4zBNwtYwfW7Y6YbsGxBJ5kPVfc1fZYkHXHeemoevPR2SOz3IMolIIUu2XeTap6A1KRwyI3wm6ZOOXH_yYy2MxF5uFFKToSXt4DRukfk6CzRINX7zQkeAiykH-xgN-fmu8d0GtGdqzDnovuy4YNCfRxe0Kq9PrU2GSC0cflj2hfxJjRZDgCrHxNFlZ2bpweBrm4NZyzM63f126NNL3pRjzAXR1uco23WwFdDl2WAbyuRzYIc0POGN2FISAQPaMmavs-5vVQpDOXPAzjp7hVBx2ZVMhlkdv3fR5ylZh9pjiVHmeCn__xBUjFaP3wIdY91mNlr45zbGwLqR-65HUZShuOiZ3GhXAYuaCuGfVehkpZI9D0MkrxTy7YLeZSh-9s-ruw2YQ87GFzRmEc78i7XkkinLWqk9d9JYPKyH7LNbV4yvbuCF8UFEnnAZaWscAxYkHAjboCAyk61eGSo6RfY4dcCSa_t1Rb5755mYY7UZiorxG4gVFyns4VfBtMpBGWbtbucNoW1mPPZLq7YC6pP4-2_tuckFZRGqWjQwBeN3_pBspAjf14YFyeAMgJOkuggUJMovAEG49-htNz8yAKILZpmg0y0TpdBo6lOgYRm0zbtptTO7UTaCOr6tHw5Px32FNG0bfhummQjGI6oEhrkenyJZbINHE4oUD_CwZitESjGr32X5tcEePmlBVecsNDpQN7VO_M__41ZfVFBRAUNevKcHuKLNTHqVoh_UipDsnE5qUXO2EVezQZ6SK2isunlsI92_qGfL_HDsT7kj0w1B9wNmWM1rNZLo4wO4bfIB8E6u_w6qkntNUIIvFiTT3V7rMwUEs7SfzffdxmkHf-n6lhamfLqZmXie4nDt22h4H3Caxw5oA6iEnhDASrMhTfZbkwy_hjuOTn_-So8_zXsJ6byyTpwHFg1nof_Cs1AySkNtMHycPcO2SydBirw7boy4R2tzKIG8B9OsP1A4P-AYvRZMvgYAHBNccCK7W4DdJQT0ONIGhnCNiv1oyHSvXJ5qIFem2Q=", "id": "rs_03ffbd844242cd0a016a0323b09f3c8191962d7a9e92c791fa", "summary": []}], "tool_calls": [{"id": "call_GVLBY08Q1H3FYt1hQRmLdWzb", "call_id": "call_GVLBY08Q1H3FYt1hQRmLdWzb", "response_item_id": "fc_03ffbd844242cd0a016a0323b59ec08191a29ba9989faebe5f", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"openclaw agent -m \\\"Bitte prüfe den aktuellen Stand des Gesundheits-Ablagesystems unter ~/.hermes/assets/Gesundheit. Konkret: 1) Existiert health_data.db und wie ist das Schema? 2) Zähle Dokumente nach status, dokument_typ/kategorie und ob extrahierte_inhalte gefüllt ist. 3) Prüfe, ob Docling-Reprocessing umgesetzt wurde: wie viele der 59 Dokumente haben Volltext, welche bleiben ohne Volltext, gibt es processing_log-Einträge. 4) Prüfe scripts, insbesondere generate_labor_report.py oder aktueller-Blutwerte-Skript: existiert es, was macht es, wann zuletzt geändert. 5) Prüfe ob XLSX aus Gmail von friday.uplink@gmail.com angekommen/heruntergeladen/verarbeitet wurde, soweit lokal/Gmail erkennbar. Antworte knapp mit verifizierten Fakten, Pfaden und offenen Punkten. Keine großen Dateiinhalte ausgeben.\\\" --agent main\",\"timeout\":600}"}}], "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"[plugins] plugins.allow is empty; discovered non-bundled plugins may auto-load: brave (/home/agent/.openclaw/npm/node_modules/@openclaw/brave-plugin/dist/index.js), lossless-claw (/home/agent/.openclaw/extensions/lossless-claw/dist/index.js). Set plugins.allow to explicit trusted ids.\\nplugin runtime config.loadConfig() is deprecated (runtime-config-load-write); use config.current().\\nOpenClaw wurde erfolgreich neu gestartet, Sir. ⚡\\n\\nIch setze die offenen Arbeiten fort — zuletzt waren die aktiven Cron-Jobs deaktiviert; nur der systemverwaltete Memory-Dreaming-Job blieb aktiv.\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_GVLBY08Q1H3FYt1hQRmLdWzb", "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "assistant", "content": "", "reasoning": "**Inspecting openclaw functionality**\n\nI think there might have been a misunderstanding with Openclaw. It seems the output just needs a restart. I'm considering if I should use the Openclaw CLI directly or execute something differently. It's really important to verify the final facts! I might be able to use the tools directly. I’ll look into inspecting the file system, while also keeping in mind what the skills say. It sounds like we might not even need Openclaw.", "finish_reason": "tool_calls", "reasoning_content": "**Inspecting openclaw functionality**\n\nI think there might have been a misunderstanding with Openclaw. It seems the output just needs a restart. I'm considering if I should use the Openclaw CLI directly or execute something differently. It's really important to verify the final facts! I might be able to use the tools directly. I’ll look into inspecting the file system, while also keeping in mind what the skills say. It sounds like we might not even need Openclaw.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAyPcXY0UwzcIMkHUZqzCcCyRkqW5Px81tPXNyxOGo7IRIXTqq3SuEkf8g3dDZerOefeNKHMOpYQyjljZqtmMqUVzGt_YgfMX9Og0JdmqGzlHK9hxm4S5ks5zD37qDxqolgh8oqCPwybqMDQgxIgjmQ0W0xrjLKqmFWB_Aq1U_4eq2gxODMOMIV17oFCA5kIPFz0s7kl4VlYT8ZAYrJWOu7VK4vjnY8vhjhVhLFn1ytKq2J44MT76Td9Ef6GxRDBZycK_yw2EMkUE_4vEkT5ctj-qs_T7L0JGdtjplsCXM5DU9rvkus8Ht3rJOA7Xa7sSOz_YedpzP-9YrxCeTJU1Rh2jtFrp19MlbsNVBxdzoCVTi4G6XLo8EE61K17ChMu9zcn9XW88ZAw6JizKlzp2ZE1HyFJKB-KeTcS_Rv2-UFOeb4T8ziUgaiCDBNUB0KWk1YpHerYkEL6y20L-j1LapD_EDPCqXK7DgAQ36pVQSBjKqHbOpFDjF1SBnrjvtYxRumioG-yLSf45q8U0taHfNV6B_soq8bn3ewSdqvcc5xY7Cuo_hUKISqfKGL7AUnUMql4vZ-FO_MukegaureJwObB8X3MLXSB5a1rtBb27jVLilb2ap_ZI74GO3zp3nAzY_I-wQYuQYq98of9haiGPrZtGTY2UxIT5RX-6xTEx-1rj8kaTGSt2-iY7iCAa-9e-vhxwEaR-G9EAsO1DbYqnanMTgeXNrn_vjpU7jAoeSOMl1Z2jVjAyEH7ZLplEVuUYRzXiwuOxArE_JBBLhzXHzXIfszB1LIABd14vOBwE4puyx3U8wj5yjEUE-FKEblTGrYv-gyTt-6yEE1wCuHfPM1ax7my-PH6FvAh6qa7uf-hV20IapoUu0emvHFCdYcvs4Ujod15cfzG2GilWcv5F68ZfVEmpa5HVwz8yVy5Xe-W8Mf24jFyuczJNpuwcCXzvbHnBuNj1StJbGf_I4Z1ZjIJHKkgwuW_k09wqiOwn9QcYa8n4KVFSAhbCR1PIh_-jBCQeCeAsXCf7G_IbWi1qC67OQx-QWmIhjTTn6Gv6c0H1H7DMCnonovyTjhiHuzJIwjWsdbcdl8VZXKyD76H6lwEIoG7bD55v01isPcm-FlxLbNYCXay-uv6S9om8sbaDKVtYux36x7rl7ZQE-DY6Vvj4V-psvbmSIx6qVpdtFHfKVBZfIiQ_jovAfIOWhYH3iYrKDnZ_48pMH9EhQMeUh7AGgboRVnyc38EW2ddrmhv26hbX9HPVFPAofOUltMGhdMeRJQuFD4299OXoAWZMiAdlLNsnIOfJ6ede8k4IHZNLrd0=", "id": "rs_0d847eae1090bd16016a0323d47f188191abf9fe7220622000", "summary": [{"type": "summary_text", "text": "**Inspecting openclaw functionality**\n\nI think there might have been a misunderstanding with Openclaw. It seems the output just needs a restart. I'm considering if I should use the Openclaw CLI directly or execute something differently. It's really important to verify the final facts! I might be able to use the tools directly. I’ll look into inspecting the file system, while also keeping in mind what the skills say. It sounds like we might not even need Openclaw."}]}], "tool_calls": [{"id": "call_Q3UGBaRWQIXrRazhhWA4N6dt", "call_id": "call_Q3UGBaRWQIXrRazhhWA4N6dt", "response_item_id": "fc_0d847eae1090bd16016a0323dc99c4819185efe6877ee9a511", "type": "function", "function": {"name": "execute_code", "arguments": "{\"code\":\"from hermes_tools import terminal\\ncmd = r'''\\npython3 - <<'PY'\\nimport os, sqlite3, json, glob, time\\nbase=os.path.expanduser('~/.hermes/assets/Gesundheit')\\ndb=os.path.join(base,'health_data.db')\\nprint('BASE_EXISTS', os.path.exists(base), base)\\nprint('DB_EXISTS', os.path.exists(db), db)\\nif os.path.exists(db):\\n    con=sqlite3.connect(db); con.row_factory=sqlite3.Row; cur=con.cursor()\\n    tables=[r[0] for r in cur.execute(\\\"select name from sqlite_master where type='table' order by name\\\").fetchall()]\\n    print('TABLES', len(tables), tables)\\n    for t in tables:\\n        cnt=cur.execute(f'select count(*) from \\\"{t}\\\"').fetchone()[0]\\n        print('COUNT', t, cnt)\\n    # dokumente columns\\n    cols=[dict(r) for r in cur.execute('pragma table_info(dokumente)').fetchall()] if 'dokumente' in tables else []\\n    print('DOK_COLS', [(c['name'],c['type']) for c in cols])\\n    if 'dokumente' in tables:\\n        colnames=[c['name'] for c in cols]\\n        status_col='status' if 'status' in colnames else None\\n        ext_col='extrahierte_inhalte' if 'extrahierte_inhalte' in colnames else None\\n        cat_cols=[c for c in ['kategorie','dokument_typ','typ','dateityp','daten_typ'] if c in colnames]\\n        if status_col:\\n            print('BY_STATUS')\\n            for r in cur.execute(f'select {status_col} as status, count(*) n, sum(case when {ext_col} is not null and length(trim({ext_col}))>0 then 1 else 0 end) with_text from dokumente group by {status_col} order by {status_col}'):\\n                print(dict(r))\\n        print('TEXT_TOTAL', cur.execute(f'select count(*) total, sum(case when {ext_col} is not null and length(trim({ext_col}))>0 then 1 else 0 end) with_text from dokumente').fetchone()[:] if ext_col else 'NO_EXT_COL')\\n        for cc in cat_cols:\\n            print('BY_'+cc.upper())\\n            for r in cur.execute(f'select {cc} val, count(*) n, sum(case when {ext_col} is not null and length(trim({ext_col}))>0 then 1 else 0 end) with_text from dokumente group by {cc} order by n desc'):\\n                print(dict(r))\\n        print('WITHOUT_TEXT_SAMPLE')\\n        fields=[c for c in ['id','dateiname','titel','name','status','kategorie','dokument_typ','daten_typ','dateipfad','pfad'] if c in colnames]\\n        q='select '+','.join(fields)+f' from dokumente where {ext_col} is null or length(trim({ext_col}))=0 limit 100'\\n        for r in cur.execute(q): print(dict(r))\\n    if 'processing_log' in tables:\\n        cols2=[r['name'] for r in cur.execute('pragma table_info(processing_log)').fetchall()]\\n        print('PROCESSING_LOG_COLS', cols2)\\n        for r in cur.execute('select * from processing_log order by rowid desc limit 10'):\\n            print('PLOG', dict(r))\\n    con.close()\\n# scripts\\nfor p in glob.glob(os.path.join(base,'scripts','*')):\\n    st=os.stat(p); print('SCRIPT', os.path.basename(p), st.st_size, time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(st.st_mtime)))\\n# reports\\nfor p in glob.glob(os.path.join(base,'reports','*'))[:50]:\\n    st=os.stat(p); print('REPORT', os.path.basename(p), st.st_size, time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(st.st_mtime)))\\nPY\\n'''\\nres=terminal(cmd, timeout=120)\\nprint(res['output'])\\nprint('EXIT', res['exit_code'])\"}"}}], "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"BASE_EXISTS True /home/agent/.hermes/assets/Gesundheit\\nDB_EXISTS True /home/agent/.hermes/assets/Gesundheit/health_data.db\\nTABLES 14 ['arztbesuche', 'auswertungen', 'dokumente', 'dokumente_status', 'ernaehrung', 'health_events', 'korrelationen', 'laborwerte', 'medikamente', 'sqlite_sequence', 'symptom_log', 'symptome', 'tagebuch', 'vitalzeichen']\\nCOUNT arztbesuche 1\\nCOUNT auswertungen 0\\nCOUNT dokumente 59\\nCOUNT dokumente_status 3\\nCOUNT ernaehrung 5\\nCOUNT health_events 244\\nCOUNT korrelationen 0\\nCOUNT laborwerte 241\\nCOUNT medikamente 3\\nCOUNT sqlite_sequence 8\\nCOUNT symptom_log 0\\nCOUNT symptome 1\\nCOUNT tagebuch 5\\nCOUNT vitalzeichen 0\\nDOK_COLS [('id', 'INTEGER'), ('datei_name', 'TEXT'), ('dateipfad', 'TEXT'), ('daten_typ', 'TEXT'), ('upload_datum', 'TIMESTAMP'), ('groessekbytes', 'INTEGER'), ('status', 'TEXT'), ('verarbeite_datum', 'TIMESTAMP'), ('extrahierte_inhalte', 'TEXT'), ('kategorie', 'TEXT'), ('datei_hash', 'TEXT')]\\nBY_STATUS\\n{'status': 'archiviert', 'n': 11, 'with_text': 0}\\n{'status': 'eingearbeitet', 'n': 29, 'with_text': 8}\\n{'status': 'neu', 'n': 19, 'with_text': 1}\\nTEXT_TOTAL (59, 9)\\nBY_KATEGORIE\\n{'val': 'BEFUNDE', 'n': 22, 'with_text': 3}\\n{'val': 'LABOR', 'n': 19, 'with_text': 0}\\n{'val': 'SONSTIGES', 'n': 17, 'with_text': 5}\\n{'val': 'laborbericht', 'n': 1, 'with_text': 1}\\nBY_DATEN_TYP\\n{'val': 'pdf', 'n': 58, 'with_text': 8}\\n{'val': 'image', 'n': 1, 'with_text': 1}\\nWITHOUT_TEXT_SAMPLE\\n{'id': 37, 'status': 'archiviert', 'kategorie': 'SONSTIGES', 'daten_typ': 'pdf', 'dateipfad': 'Archiv/Laborwerte/250514_Labor_Rothen_Blutbild.pdf'}\\n{'id': 38, 'status': 'archiviert', 'kategorie': 'BEFUNDE', 'daten_typ': 'pdf', 'dateipfad': 'Archiv/Klinische_Befunde/250604_Ultraschall.pdf'}\\n{'id': 39, 'status': 'archiviert', 'kategorie': 'BEFUNDE', 'daten_typ': 'pdf', 'dateipfad': 'Archiv/Klinische_Befunde/250619_Roentgen_BWS.pdf'}\\n{'id': 40, 'status': 'archiviert', 'kategorie': 'BEFUNDE', 'daten_typ': 'pdf', 'dateipfad': 'Archiv/Klinische_Befunde/250701_Ultraschall_Nachkontrolle.pdf'}\\n{'id': 41, 'status': 'archiviert', 'kategorie': 'BEFUNDE', 'daten_typ': 'pdf', 'dateipfad': 'Archiv/Klinische_Befunde/250710_Vista_Brugg.pdf'}\\n{'id': 42, 'status': 'archiviert', 'kategorie': 'BEFUNDE', 'daten_typ': 'pdf', 'dateipfad': 'Archiv/Klinische_Befunde/250914_Notfallpraxis_INZ.pdf'}\\n{'id': 43, 'status': 'archiviert', 'kategorie': 'LABOR', 'daten_typ': 'pdf', 'dateipfad': 'Archiv/Laborberichte/250914_Laborbefund_Gerinnung_NFPraxis.pdf'}\\n{'id': 44, 'status': 'archiviert', 'kategorie': 'LABOR', 'daten_typ': 'pdf', 'dateipfad': 'Archiv/Laborberichte/250914_Laborbefund_POC_NFPraxis.pdf'}\\n{'id': 45, 'status': 'archiviert', 'kategorie': 'LABOR', 'daten_typ': 'pdf', 'dateipfad': 'Archiv/Laborberichte/250920_Laborbefund_Chemie_NFPraxis.pdf'}\\n{'id': 46, 'status': 'archiviert', 'kategorie': 'BEFUNDE', 'daten_typ': 'pdf', 'dateipfad': 'Archiv/Klinische_Befunde/250920_Sonographie_TVT_KSB.pdf'}\\n{'id': 47, 'status': 'archiviert', 'kategorie': 'BEFUNDE', 'daten_typ': 'pdf', 'dateipfad': 'Archiv/Klinische_Befunde/250920_Rezept_Eliquis_NFPraxis.pdf'}\\n{'id': 48, 'status': 'eingearbeitet', 'kategorie': 'BEFUNDE', 'daten_typ': 'pdf', 'dateipfad': '/home/agent/Gesundheit/Archiv/Klinische_Befunde/250604_Ultraschall.pdf'}\\n{'id': 49, 'status': 'eingearbeitet', 'kategorie': 'BEFUNDE', 'daten_typ': 'pdf', 'dateipfad': '/home/agent/Gesundheit/Archiv/Klinische_Befunde/250619 Befund Röntgen.pdf'}\\n{'id': 50, 'status': 'eingearbeitet', 'kategorie': 'BEFUNDE', 'daten_typ': 'pdf', 'dateipfad': '/home/agent/Gesundheit/Archiv/Klinische_Befunde/250619 Röntgen Thorax_1.pdf'}\\n{'id': 51, 'status': 'eingearbeitet', 'kategorie': 'BEFUNDE', 'daten_typ': 'pdf', 'dateipfad': '/home/agent/Gesundheit/Archiv/Klinische_Befunde/250619 Röntgen Thorax_2.pdf'}\\n{'id': 52, 'status': 'eingearbeitet', 'kategorie': 'BEFUNDE', 'daten_typ': 'pdf', 'dateipfad': '/home/agent/Gesundheit/Archiv/Klinische_Befunde/250701 Bericht Untraschall.pdf'}\\n{'id': 53, 'status': 'neu', 'kategorie': 'BEFUNDE', 'daten_typ': 'pdf', 'dateipfad': '/home/agent/Gesundheit/Archiv/Klinische_Befunde/250710 Vista Brugg .pdf'}\\n{'id': 54, 'status': 'eingearbeitet', 'kategorie': 'SONSTIGES', 'daten_typ': 'pdf', 'dateipfad': '/home/agent/Gesundheit/Archiv/Laborwerte/250917 bericht KSB.pdf'}\\n{'id': 55, 'status': 'eingearbeitet', 'kategorie': 'BEFUNDE', 'daten_typ': 'pdf', 'dateipfad': '/home/agent/Gesundheit/Archiv/Klinische_Befunde/251016 Bericht CT.pdf'}\\n{'id': 56, 'status': 'eingearbeitet', 'kategorie': 'BEFUNDE', 'daten_typ': 'pdf', 'dateipfad': '/home/agent/Gesundheit/Archiv/Klinische_Befunde/251224 Kurzbrief_2025 Allergie und Haut.pdf'}\\n{'id': 57, 'status': 'eingearbeitet', 'kategorie': 'BEFUNDE', 'daten_typ': 'pdf', 'dateipfad': '/home/agent/Gesundheit/Archiv/Klinische_Befunde/251224 Notfall Voruntersuchung Pflege Ophthalmologie.pdf'}\\n{'id': 58, 'status': 'eingearbeitet', 'kategorie': 'SONSTIGES', 'daten_typ': 'pdf', 'dateipfad': '/home/agent/Gesundheit/Archiv/Laborwerte/251229 Bericht__Dermatologische_Klinik__für_Marcel_Gasser 3.PDF'}\\n{'id': 59, 'status': 'eingearbeitet', 'kategorie': 'SONSTIGES', 'daten_typ': 'pdf', 'dateipfad': '/home/agent/Gesundheit/Archiv/Laborwerte/251229 Bericht__Klinische_Chemie__für_Marcel_Gasser 4.PDF'}\\n{'id': 60, 'status': 'eingearbeitet', 'kategorie': 'SONSTIGES', 'daten_typ': 'pdf', 'dateipfad': '/home/agent/Gesundheit/Archiv/Laborwerte/251229 Bericht__Klinische_Chemie__für_Marcel_Gasser 4.PDF'}\\n{'id': 61, 'status': 'eingearbeitet', 'kategorie': 'SONSTIGES', 'daten_typ': 'pdf', 'dateipfad': '/home/agent/Gesundheit/Archiv/Laborwerte/251229 Bericht__Klinische_Chemie__für_Marcel_Gasser 4.PDF'}\\n{'id': 62, 'status': 'eingearbeitet', 'kategorie': 'SONSTIGES', 'daten_typ': 'pdf', 'dateipfad': '/home/agent/Gesundheit/Archiv/Laborwerte/260101 Krankheitsverlauf Thrombosen und Augenlidentzündung.pdf'}\\n{'id': 63, 'status': 'eingearbeitet', 'kategorie': 'SONSTIGES', 'daten_typ': 'pdf', 'dateipfad': '/home/agent/Gesundheit/Archiv/Laborwerte/260115 Termin Bericht__RUZ_CIR_Termin_Zuweisung__für_Marcel_Gasser_geb._21.06.1985.PDF'}\\n{'id': 64, 'status': 'eingearbeitet', 'kategorie': 'BEFUNDE', 'daten_typ': 'pdf', 'dateipfad': '/home/agent/Gesundheit/Archiv/Klinische_Befunde/260130_15265_2026-01-29_Viollier-AG---Noreply.pdf'}\\n{'id': 65, 'status': 'eingearbeitet', 'kategorie': 'SONSTIGES', 'daten_typ': 'pdf', 'dateipfad': '/home/agent/Gesundheit/Archiv/Laborwerte/260130_letter_6938292917295580271.pdf'}\\n{'id': 66, 'status': 'eingearbeitet', 'kategorie': 'BEFUNDE', 'daten_typ': 'pdf', 'dateipfad': '/home/agent/Gesundheit/Archiv/Klinische_Befunde/260226 MRI Befund.PDF'}\\n{'id': 67, 'status': 'eingearbeitet', 'kategorie': 'BEFUNDE', 'daten_typ': 'pdf', 'dateipfad': '/home/agent/Gesundheit/Archiv/Klinische_Befunde/260226 Gasser Marcel, 21.06.1985_Bilder MRI.pdf'}\\n{'id': 68, 'status': 'eingearbeitet', 'kategorie': 'SONSTIGES', 'daten_typ': 'pdf', 'dateipfad': '/home/agent/Gesundheit/Archiv/Laborwerte/260306 Bericht 1__Klinische_Chemie__für_Marcel_Gasser.PDF'}\\n{'id': 69, 'status': 'eingearbeitet', 'kategorie': 'SONSTIGES', 'daten_typ': 'pdf', 'dateipfad': '/home/agent/Gesundheit/Archiv/Laborwerte/260306 Bericht__Klinische_Immunologie__für_Marcel_Gasser.PDF'}\\n{'id': 74, 'status': 'neu', 'kategorie': 'LABOR', 'daten_typ': 'pdf', 'dateipfad': 'Gesundheit/archiv/laborberichte/2620408 bericht__Laborbefund__für_Marcel_Gasser_#1.PDF'}\\n{'id': 75, 'status': 'neu', 'kategorie': 'LABOR', 'daten_typ': 'pdf', 'dateipfad': 'Gesundheit/archiv/laborberichte/250914_Laborbefund_Gerinnung_NFPraxis.pdf'}\\n{'id': 76, 'status': 'neu', 'kategorie': 'LABOR', 'daten_typ': 'pdf', 'dateipfad': 'Gesundheit/archiv/laborberichte/251229 Bericht__Klinische_Chemie__für_Marcel_Gasser 4.PDF'}\\n{'id': 77, 'status': 'neu', 'kategorie': 'LABOR', 'daten_typ': 'pdf', 'dateipfad': 'Gesundheit/archiv/laborberichte/251231 Bericht__Thrombophilie-Abklärung_vom_27.08.2025__für_Marcel_Gasser_geb._21.06.1985.PDF'}\\n{'id': 78, 'status': 'neu', 'kategorie': 'LABOR', 'daten_typ': 'pdf', 'dateipfad': 'Gesundheit/archiv/laborberichte/260101 Krankheitsverlauf Thrombosen und Augenlidentzündung.pdf'}\\n{'id': 79, 'status': 'neu', 'kategorie': 'LABOR', 'daten_typ': 'pdf', 'dateipfad': 'Gesundheit/archiv/laborberichte/251231 dermatologische Poliklinik vom 29.12.2025.pdf'}\\n{'id': 80, 'status': 'neu', 'kategorie': 'LABOR', 'daten_typ': 'pdf', 'dateipfad': 'Gesundheit/archiv/laborberichte/251231 Bericht__Klinische_Chemie__für_Marcel_Gasser 2.PDF'}\\n{'id': 81, 'status': 'neu', 'kategorie': 'LABOR', 'daten_typ': 'pdf', 'dateipfad': 'Gesundheit/archiv/laborberichte/250514_Labor_Rothen_Blutbild.pdf'}\\n{'id': 82, 'status': 'neu', 'kategorie': 'LABOR', 'daten_typ': 'pdf', 'dateipfad': 'Gesundheit/archiv/laborberichte/251229 Bericht__Dermatologische_Klinik__für_Marcel_Gasser 3.PDF'}\\n{'id': 83, 'status': 'neu', 'kategorie': 'LABOR', 'daten_typ': 'pdf', 'dateipfad': 'Gesundheit/archiv/laborberichte/250914_Laborbefund_POC_NFPraxis.pdf'}\\n{'id': 84, 'status': 'neu', 'kategorie': 'LABOR', 'daten_typ': 'pdf', 'dateipfad': 'Gesundheit/archiv/laborberichte/260306 Bericht 1__Klinische_Chemie__für_Marcel_Gasser.PDF'}\\n{'id': 85, 'status': 'neu', 'kategorie': 'LABOR', 'daten_typ': 'pdf', 'dateipfad': 'Gesundheit/archiv/laborberichte/260306 Bericht__Klinische_Immunologie__für_Marcel_Gasser.PDF'}\\n{'id': 86, 'status': 'neu', 'kategorie': 'LABOR', 'daten_typ': 'pdf', 'dateipfad': 'Gesundheit/archiv/laborberichte/260115 Termin Bericht__RUZ_CIR_Termin_Zuweisung__für_Marcel_Gasser_geb._21.06.1985.PDF'}\\n{'id': 87, 'status': 'neu', 'kategorie': 'LABOR', 'daten_typ': 'pdf', 'dateipfad': 'Gesundheit/archiv/laborberichte/250920_Laborbefund_Chemie_NFPraxis.pdf'}\\n{'id': 88, 'status': 'neu', 'kategorie': 'LABOR', 'daten_typ': 'pdf', 'dateipfad': 'Gesundheit/archiv/laborberichte/250917 bericht KSB.pdf'}\\n{'id': 89, 'status': 'neu', 'kategorie': 'LABOR', 'daten_typ': 'pdf', 'dateipfad': 'Gesundheit/archiv/laborberichte/260130_letter_6938292917295580271.pdf'}\\n{'id': 90, 'status': 'neu', 'kategorie': 'SONSTIGES', 'daten_typ': 'pdf', 'dateipfad': 'Gesundheit/archiv/sonstiges/ksb_rheumatologie_bericht_2026-05-06.pdf'}\\nSCRIPT analyze_document.py 4399 2026-05-08 08:06:45\\nSCRIPT verify_system.py 3096 2026-05-08 14:08:52\\nSCRIPT import_existing_docs.py 3076 2026-05-08 11:37:22\\nSCRIPT health_manager.py 25884 2026-05-08 15:52:51\\nSCRIPT health_watchdog.py 3162 2026-05-08 14:06:26\\nSCRIPT init_db.py 3397 2026-05-08 08:06:45\\nSCRIPT generate_labor_report.py 11361 2026-05-12 09:14:06\\nSCRIPT health_watchdog.service 388 2026-05-08 14:07:11\\nSCRIPT test_pdf.py 457 2026-05-08 12:05:10\\nSCRIPT health_watchdog.sh 1406 2026-05-08 14:10:29\\nREPORT labor_dashboard.html 4892382 2026-05-08 14:03:16\\nREPORT health_profile.html 1481776 2026-05-08 14:03:21\\nREPORT konzept_v1.md 5113 2026-05-08 12:13:10\\nREPORT cholesterin_profile.png 70967 2026-05-08 14:03:16\\nREPORT aktuelle_blutwerte.xlsx 8328 2026-05-12 09:24:06\\nREPORT crp_trend.png 78269 2026-05-08 14:03:16\\nREPORT konzept_v2.md 7692 2026-05-08 14:14:46\\nREPORT systemuebersicht.md 4846 2026-05-08 12:03:30\\nEXIT 0\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 0.44}", "tool_call_id": "call_Q3UGBaRWQIXrRazhhWA4N6dt", "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "assistant", "content": "", "reasoning": "**Inspecting script status**\n\nI think I need to respond with something like \"not completely.\" I should take a closer look at the script to mention its quality. It’s currently May 12 at 14:56, and the script was created earlier today at 09:14, right after the chat. I need to verify if all documents were checked, but the counts show they haven’t. I’ll have to run the script to validate it and check its behavior precisely.", "finish_reason": "tool_calls", "reasoning_content": "**Inspecting script status**\n\nI think I need to respond with something like \"not completely.\" I should take a closer look at the script to mention its quality. It’s currently May 12 at 14:56, and the script was created earlier today at 09:14, right after the chat. I need to verify if all documents were checked, but the counts show they haven’t. I’ll have to run the script to validate it and check its behavior precisely.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAyQByHGUhvAbpkCq4iDOZqs2zgvW5xshhT0L1pcx4lI4cjfMnErAgCl9nu_LK837KrDT1pkGMUDEk22T27r8Du41GbPIetZplhjdm9S-5CmXMQ3gBYA9Nz6luA_QR5qh-DiSoJF1gpIYyiWPFKCha2BvWGr9gYRrbPocm1qO7mP4cNQ2R1sEVd_qXg232clzVuEVlijHbFK6VzDOg8P2lTV8eDOs_0J48LtDs8MJbhw7yxHxXEnlGNjOe_-DnvCxsSXwixWlOTqJ9tpHOHDIfjp7OhUF3-Ak01N-D99R8hvXX1bOQ3qjyBMOR9bp7O621Y0wBmbzKXWzxWVPN3i6v59WjKa4LTqtBFQ3bGa4IqwEStBRYH4ruZF2j9IuximIEQNyZXm8yqBzur7D3Y8CM02MWX0n2NPZQHh3RKbnd7kR4-G-WHn8cn2y3Idb2-jeEFSFI6lA_0XUb7IEsWs_EzFYRfCiEPgm8jSg6VnmM5TYaV-EnkHsJEQP_8lMYhRih5TX3KG74cWa0fIyA9orLzzi2Se8w0Oqwo2SFKEGAF-lnYhBzaLIgQk5FPlXmPCufdPupyDKNdfl9nNuguR6N0LtUY3W3JHbsuIBJdVwAMJ2GFX7i1zEA07z8gic90nnjxvs1z4DqXF-pUOUfOPaulUyXL6ztoLv9SSBDvDwVPWQFuKrtW-PLz3Xpft19kGOFo4muLqXQG_jX1rl9J1_jH3lZSD0cCTpWb-E9FpVpJ6bfnm5cDlx6AEPcjxmSASSORfKVCKsdQ6ga2j6XzrpOKV0vPD7NTI_EuLHkbE2CBYwfure9b9NokRCTZ_iQFoOPC7OilcpK2HymJHuDv0BzZVA32yK_wfkEY-7ZqFjjSvBVEVWNeKkhea6JLRkHFMcxCMJ-tq1jhojB-QV4vaaVJj9pyJ4xXlAMTZXaqTnITG3HacJrnW32NZSY9tXuBsqc34cTqxE7p84-7lgWYXjPUE9HY31ermgm0RoSWthvyJMUBmVaFasQnccqiQz7SnilsIso--OBCFJrQhuDTCS6PgwkhuvUcWEb_M_Re0XpQTTRO_V4P1k-KXtS4XrgxBxC9GFQiYb39eZA-EYv714M98narUEFSaVKC3hXKKuByxdeavC-EVGRLoFnQtbwbva3UXqmoBX1OES5r4qpRRqRiJL_LtL0VaZlpNrkUHPmqw3dzyzRYErI7d-8m7_-yjUCqipZIWm-Rfzpwqu1B1U-g1WHmqFcJeGr3b9lMwXAg0cFCYuUl4NJSSrdOvvvbbNbZ91lhu78CklHYJK1oB4AQVydA==", "id": "rs_04b7f4830af26d69016a0323fc1d28819198c84784a09e0dee", "summary": [{"type": "summary_text", "text": "**Inspecting script status**\n\nI think I need to respond with something like \"not completely.\" I should take a closer look at the script to mention its quality. It’s currently May 12 at 14:56, and the script was created earlier today at 09:14, right after the chat. I need to verify if all documents were checked, but the counts show they haven’t. I’ll have to run the script to validate it and check its behavior precisely."}]}], "tool_calls": [{"id": "call_tXAnzAquayFsTvUuSg9wUrVv", "call_id": "call_tXAnzAquayFsTvUuSg9wUrVv", "response_item_id": "fc_04b7f4830af26d69016a032401f3fc81918635feece90d59b3", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"/home/agent/.hermes/assets/Gesundheit/scripts/generate_labor_report.py\",\"offset\":1,\"limit\":220}"}}], "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|#!/usr/bin/env python3\\n     2|\\\"\\\"\\\"\\n     3|Generiert einen Laborbericht \\\"Aktuelle Blutwerte\\\" als XLSX.\\n     4|Format: Eine Spalte pro Laboruntersuchung/Datum, eine Zeile pro Blut- bzw. Urinwert.\\n     5|Referenz: XLSX-Datei vom User (Laborwerte Übersicht 2021-2025.xlsx) für korrekte Parameter- und Datumsstruktur.\\n     6|\\\"\\\"\\\"\\n     7|\\n     8|import sqlite3\\n     9|import openpyxl\\n    10|from openpyxl.styles import Font, Alignment, Border, Side, PatternFill, numbers\\n    11|from openpyxl.utils import get_column_letter\\n    12|import os\\n    13|\\n    14|DB_PATH = os.path.expanduser('~/.hermes/assets/Gesundheit/health_data.db')\\n    15|\\n    16|# Kategorien aus der XLSX\\n    17|KATEGORIEN = [\\n    18|    \\\"Blutabnahmen\\\",\\n    19|    \\\"Entzündung\\\",\\n    20|    \\\"Hämatologie\\\",\\n    21|    \\\"Blutfette & Stoffwechsel\\\",\\n    22|    \\\"Leber & Niere\\\",\\n    23|    \\\"Schilddrüse\\\",\\n    24|    \\\"Hormone\\\",\\n    25|    \\\"Immunologie / Infektion\\\",\\n    26|    \\\"Gerinnung\\\",\\n    27|    \\\"Urin\\\",\\n    28|    \\\"Sonstiges\\\"\\n    29|]\\n    30|\\n    31|PARAM_KATEGORIE = {\\n    32|    # Entzündung\\n    33|    \\\"C-Reaktives Protein (CRP)\\\": \\\"Entzündung\\\",\\n    34|    \\\"Blutsenkungsreaktion miniiSED\\\": \\\"Entzündung\\\",\\n    35|    \\n    36|    # Hämatologie\\n    37|    \\\"Hämoglobin\\\": \\\"Hämatologie\\\",\\n    38|    \\\"Hämatokrit\\\": \\\"Hämatologie\\\",\\n    39|    \\\"Erythrozyten\\\": \\\"Hämatologie\\\",\\n    40|    \\\"Leukozyten\\\": \\\"Hämatologie\\\",\\n    41|    \\\"Thrombozyten\\\": \\\"Hämatologie\\\",\\n    42|    \\\"MCV\\\": \\\"Hämatologie\\\",\\n    43|    \\\"MCH\\\": \\\"Hämatologie\\\",\\n    44|    \\\"MCHC\\\": \\\"Hämatologie\\\",\\n    45|    \\\"RDW\\\": \\\"Hämatologie\\\",\\n    46|    \\\"Erythrozyt. verteilungsbreite\\\": \\\"Hämatologie\\\",\\n    47|    \\\"Eosinophile\\\": \\\"Hämatologie\\\",\\n    48|    \\\"Basophile\\\": \\\"Hämatologie\\\",\\n    49|    \\\"Monozythen\\\": \\\"Hämatologie\\\",\\n    50|    \\\"Lymphozyten\\\": \\\"Hämatologie\\\",\\n    51|    \\\"Neutrophile\\\": \\\"Hämatologie\\\",\\n    52|    \\\"Immature Granulozyten\\\": \\\"Hämatologie\\\",\\n    53|    \\\"NRBC Abs.\\\": \\\"Hämatologie\\\",\\n    54|    \\\"Ery (isomorph)\\\": \\\"Hämatologie\\\",\\n    55|    \\n    56|    # Blutfette & Stoffwechsel\\n    57|    \\\"Cholesterin gesamt\\\": \\\"Blutfette & Stoffwechsel\\\",\\n    58|    \\\"LDL-Cholesterin\\\": \\\"Blutfette & Stoffwechsel\\\",\\n    59|    \\\"HDL-Cholesterin\\\": \\\"Blutfette & Stoffwechsel\\\",\\n    60|    \\\"Non-HDL-Cholesterin Sampson\\\": \\\"Blutfette & Stoffwechsel\\\",\\n    61|    \\\"Triglyceride\\\": \\\"Blutfette & Stoffwechsel\\\",\\n    62|    \\\"Glukose\\\": \\\"Blutfette & Stoffwechsel\\\",\\n    63|    \\\"HbA1c\\\": \\\"Blutfette & Stoffwechsel\\\",\\n    64|    \\\"Homocystein\\\": \\\"Blutfette & Stoffwechsel\\\",\\n    65|    \\\"Ferritin\\\": \\\"Blutfette & Stoffwechsel\\\",\\n    66|    \\\"Eisen\\\": \\\"Blutfette & Stoffwechsel\\\",\\n    67|    \\\"Folsäure\\\": \\\"Blutfette & Stoffwechsel\\\",\\n    68|    \\\"Vitamin B12 (Active)\\\": \\\"Blutfette & Stoffwechsel\\\",\\n    69|    \\\"Vitamin D (25-OH)\\\": \\\"Blutfette & Stoffwechsel\\\",\\n    70|    \\n    71|    # Leber & Niere\\n    72|    \\\"ALAT (GPT)\\\": \\\"Leber & Niere\\\",\\n    73|    \\\"ASAT (GOT)\\\": \\\"Leber & Niere\\\",\\n    74|    \\\"GGT\\\": \\\"Leber & Niere\\\",\\n    75|    \\\"Alk. Phosphatase\\\": \\\"Leber & Niere\\\",\\n    76|    \\\"Bilirubin gesamt\\\": \\\"Leber & Niere\\\",\\n    77|    \\\"Bilirubin\\\": \\\"Leber & Niere\\\",\\n    78|    \\\"Proteine gesamt\\\": \\\"Leber & Niere\\\",\\n    79|    \\\"Albumin\\\": \\\"Leber & Niere\\\",\\n    80|    \\\"Albumin/Kreatinin\\\": \\\"Leber & Niere\\\",\\n    81|    \\\"Kreatinin\\\": \\\"Leber & Niere\\\",\\n    82|    \\\"eGFR (Niere)\\\": \\\"Leber & Niere\\\",\\n    83|    \\\"Harnstoff\\\": \\\"Leber & Niere\\\",\\n    84|    \\\"Kalium\\\": \\\"Leber & Niere\\\",\\n    85|    \\\"Natrium\\\": \\\"Leber & Niere\\\",\\n    86|    \\\"Phosphat\\\": \\\"Leber & Niere\\\",\\n    87|    \\\"Calcium\\\": \\\"Leber & Niere\\\",\\n    88|    \\\"Calcium auf Alb 40g/l korr\\\": \\\"Leber & Niere\\\",\\n    89|    \\n    90|    # Schilddrüse\\n    91|    \\\"TSH\\\": \\\"Schilddrüse\\\",\\n    92|    \\\"fT3\\\": \\\"Schilddrüse\\\",\\n    93|    \\\"fT4\\\": \\\"Schilddrüse\\\",\\n    94|    \\n    95|    # Hormone\\n    96|    \\\"Testosteron\\\": \\\"Hormone\\\",\\n    97|    \\n    98|    # Immunologie / Infektion\\n    99|    \\\"Anti-HBc-total\\\": \\\"Immunologie / Infektion\\\",\\n   100|    \\\"Anti-HBc-total quant\\\": \\\"Immunologie / Infektion\\\",\\n   101|    \\\"Anti-HBs\\\": \\\"Immunologie / Infektion\\\",\\n   102|    \\\"Anti-HBs quant\\\": \\\"Immunologie / Infektion\\\",\\n   103|    \\\"Anti-HCV Screening\\\": \\\"Immunologie / Infektion\\\",\\n   104|    \\\"Anti-HCV-IgG quant\\\": \\\"Immunologie / Infektion\\\",\\n   105|    \\\"HBs-Antigen\\\": \\\"Immunologie / Infektion\\\",\\n   106|    \\\"HIV Ag/Ak Comboscreen\\\": \\\"Immunologie / Infektion\\\",\\n   107|    \\\"HIV Ag/Ak Comboquant\\\": \\\"Immunologie / Infektion\\\",\\n   108|    \\\"SARS-CoV-2 AK\\\": \\\"Immunologie / Infektion\\\",\\n   109|    \\\"EBV EBNA-1-IgG\\\": \\\"Immunologie / Infektion\\\",\\n   110|    \\\"EBV VCA-IgM\\\": \\\"Immunologie / Infektion\\\",\\n   111|    \\\"Auto-Antikörper*\\\": \\\"Immunologie / Infektion\\\",\\n   112|    \\\"Cardiolipin IgG°\\\": \\\"Immunologie / Infektion\\\",\\n   113|    \\\"Cardiolipin IgA°\\\": \\\"Immunologie / Infektion\\\",\\n   114|    \\\"Cardiolipin IgM°\\\": \\\"Immunologie / Infektion\\\",\\n   115|    \\\"Beta-2-Glykoprotein 1 IgG°\\\": \\\"Immunologie / Infektion\\\",\\n   116|    \\\"Beta-2-Glykoprotein 1 IgA°\\\": \\\"Immunologie / Infektion\\\",\\n   117|    \\\"Beta-2-Glykoprotein 1 IgM°\\\": \\\"Immunologie / Infektion\\\",\\n   118|    \\\"LUPUS Antikoagulanz indiziert\\\": \\\"Immunologie / Infektion\\\",\\n   119|    \\\"HLA-B51\\\": \\\"Immunologie / Infektion\\\",\\n   120|    \\n   121|    # Gerinnung\\n   122|    \\\"INR\\\": \\\"Gerinnung\\\",\\n   123|    \\\"Quick\\\": \\\"Gerinnung\\\",\\n   124|    \\\"aPTT\\\": \\\"Gerinnung\\\",\\n   125|    \\\"D-Dimer\\\": \\\"Gerinnung\\\",\\n   126|    \\\"Fibrinogen\\\": \\\"Gerinnung\\\",\\n   127|    \\\"Antithrombin III\\\": \\\"Gerinnung\\\",\\n   128|    \\\"Protein C (Akt.)\\\": \\\"Gerinnung\\\",\\n   129|    \\\"Protein S (Akt.)\\\": \\\"Gerinnung\\\",\\n   130|    \\\"Protein S (frei)\\\": \\\"Gerinnung\\\",\\n   131|    \\\"Faktor VIII\\\": \\\"Gerinnung\\\",\\n   132|    \\\"APC-Resistenz\\\": \\\"Gerinnung\\\",\\n   133|    \\\"LMW-Heparin (Anti-Xa)\\\": \\\"Gerinnung\\\",\\n   134|    \\\"Thrombin/AT-Komplex\\\": \\\"Gerinnung\\\",\\n   135|    \\n   136|    # Urin\\n   137|    \\\"pH\\\": \\\"Urin\\\",\\n   138|    \\\"Spezifisches Gewicht\\\": \\\"Urin\\\",\\n   139|    \\\"Protein\\\": \\\"Urin\\\",\\n   140|    \\\"Blut\\\": \\\"Urin\\\",\\n   141|    \\\"Nitrit\\\": \\\"Urin\\\",\\n   142|    \\\"Ketokörper\\\": \\\"Urin\\\",\\n   143|    \\\"Urobilinogen\\\": \\\"Urin\\\",\\n   144|    \\\"Bakterium\\\": \\\"Urin\\\",\\n   145|    \\\"Bakterien\\\": \\\"Urin\\\",\\n   146|    \\\"Plattenepithelien\\\": \\\"Urin\\\",\\n   147|    \\\"Hyaline Zylinder\\\": \\\"Urin\\\",\\n   148|    \\\"Granulierte Zylinder\\\": \\\"Urin\\\",\\n   149|    \\\"Zell-Zylinder\\\": \\\"Urin\\\",\\n   150|    \\\"Leukozyten\\\": \\\"Urin\\\",\\n   151|    \\\"IgG/Kreatinin\\\": \\\"Urin\\\",\\n   152|    \\\"Albumin/Kreatinin\\\": \\\"Urin\\\",\\n   153|    \\\"a-1-Mikroglobulin\\\": \\\"Urin\\\",\\n   154|    \\\"Mikroglobulin/Kreatinin\\\": \\\"Urin\\\",\\n   155|    \\\"Methode\\\": \\\"Urin\\\",\\n   156|    \\\"Beschaffenheit\\\": \\\"Urin\\\",\\n   157|    \\n   158|    # Sonstiges\\n   159|    \\\"Proteine/Kreatinin\\\": \\\"Sonstiges\\\",\\n   160|}\\n   161|\\n   162|def get_laborwerte_for_dates(conn, target_dates):\\n   163|    \\\"\\\"\\\"Hole Laborwerte für spezifische Daten aus der Datenbank.\\\"\\\"\\\"\\n   164|    cursor = conn.cursor()\\n   165|    placeholders = ','.join(['?'] * len(target_dates))\\n   166|    query = f'''\\n   167|        SELECT parameter_name, wert, einheit, bemerking, ermittlung_datum\\n   168|        FROM laborwerte \\n   169|        WHERE ermittlung_datum IN ({placeholders})\\n   170|        ORDER BY parameter_name, ermittlung_datum\\n   171|    '''\\n   172|    cursor.execute(query, target_dates)\\n   173|    rows = cursor.fetchall()\\n   174|    \\n   175|    # Build pivot: {param: {date: {wert, einheit, bemerking}}}\\n   176|    pivot = {}\\n   177|    for row in rows:\\n   178|        param = row['parameter_name']\\n   179|        date = row['ermittlung_datum'].split(' ')[0]\\n   180|        if param not in pivot:\\n   181|            pivot[param] = {}\\n   182|        pivot[param][date] = {\\n   183|            'wert': row['wert'],\\n   184|            'einheit': row['einheit'],\\n   185|            'bemerking': row['bemerking']\\n   186|        }\\n   187|    \\n   188|    return pivot\\n   189|\\n   190|\\n   191|def main():\\n   192|    conn = sqlite3.connect(DB_PATH)\\n   193|    \\n   194|    # Get all unique dates from laborwerte\\n   195|    cursor = conn.cursor()\\n   196|    cursor.execute('SELECT DISTINCT ermittlung_datum FROM laborwerte ORDER BY ermittlung_datum DESC')\\n   197|    all_dates = [row[0].split(' ')[0] for row in cursor.fetchall()]\\n   198|    \\n   199|    # Use the most recent dates (up to 5)\\n   200|    target_dates = all_dates[:5]\\n   201|    \\n   202|    print(f\\\"Verarbeite {len(target_dates)} Daten: {target_dates}\\\")\\n   203|    \\n   204|    # Get lab data\\n   205|    pivot = get_laborwerte_for_dates(conn, target_dates)\\n   206|    \\n   207|    # Get all unique parameter names, ordered by category\\n   208|    all_params = sorted(pivot.keys(), key=lambda p: (\\n   209|        KATEGORIEN.index(PARAM_KATEGORIE.get(p, \\\"Sonstiges\\\")) if p in PARAM_KATEGORIE else 99,\\n   210|        p\\n   211|    ))\\n   212|    \\n   213|    print(f\\\"Parameter: {len(all_params)}\\\")\\n   214|    \\n   215|    # Create workbook\\n   216|    wb = openpyxl.Workbook()\\n   217|    ws = wb.active\\n   218|    ws.title = \\\"Aktuelle Blutwerte\\\"\\n   219|    \\n   220|    # Styles\\n   221|\", \"total_lines\": 325, \"file_size\": 11361, \"truncated\": true, \"hint\": \"Use offset=221 to continue reading (showing 1-220 of 325 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_tXAnzAquayFsTvUuSg9wUrVv", "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_2d7TphJ5GLgQdyHVzpipMK1t", "call_id": "call_2d7TphJ5GLgQdyHVzpipMK1t", "response_item_id": "fc_0226dd4f80e95590016a032404e7388191adbc8d0833586ee0", "type": "function", "function": {"name": "read_file", "arguments": "{\"limit\":140,\"offset\":221,\"path\":\"/home/agent/.hermes/assets/Gesundheit/scripts/generate_labor_report.py\"}"}}], "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"   221|    header_font = Font(name='Arial', bold=True, size=11, color='FFFFFF')\\n   222|    header_fill = PatternFill(start_color='2F5496', end_color='2F5496', fill_type='solid')\\n   223|    cat_font = Font(name='Arial', bold=True, size=11, color='2F5496')\\n   224|    cat_fill = PatternFill(start_color='D6E4F0', end_color='D6E4F0', fill_type='solid')\\n   225|    normal_font = Font(name='Arial', size=10)\\n   226|    thin_border = Border(\\n   227|        left=Side(style='thin'),\\n   228|        right=Side(style='thin'),\\n   229|        top=Side(style='thin'),\\n   230|        bottom=Side(style='thin')\\n   231|    )\\n   232|    \\n   233|    # Row counter\\n   234|    row_idx = 1\\n   235|    \\n   236|    # Header row\\n   237|    header_cells = ['Parameter', 'Einheit'] + target_dates\\n   238|    for col_idx, header in enumerate(header_cells, 1):\\n   239|        cell = ws.cell(row=row_idx, column=col_idx, value=header)\\n   240|        cell.font = header_font\\n   241|        cell.fill = header_fill\\n   242|        cell.alignment = Alignment(horizontal='center', wrap_text=True)\\n   243|        cell.border = thin_border\\n   244|    row_idx += 1\\n   245|    \\n   246|    # Add category separator rows\\n   247|    current_category = None\\n   248|    for param in all_params:\\n   249|        category = PARAM_KATEGORIE.get(param, \\\"Sonstiges\\\")\\n   250|        \\n   251|        if category != current_category:\\n   252|            # Category separator\\n   253|            ws.merge_cells(start_row=row_idx, start_column=1, end_row=row_idx, end_column=len(target_dates) + 2)\\n   254|            cell = ws.cell(row=row_idx, column=1, value=category)\\n   255|            cell.font = cat_font\\n   256|            cell.fill = cat_fill\\n   257|            cell.alignment = Alignment(horizontal='left')\\n   258|            cell.border = thin_border\\n   259|            for col in range(2, len(target_dates) + 3):\\n   260|                ws.cell(row=row_idx, column=col).fill = cat_border\\n   261|                ws.cell(row=row_idx, column=col).border = thin_border\\n   262|            row_idx += 1\\n   263|            current_category = category\\n   264|        \\n   265|        # Data row\\n   266|        cell_name = ws.cell(row=row_idx, column=1, value=param)\\n   267|        cell_name.font = normal_font\\n   268|        cell_name.border = thin_border\\n   269|        \\n   270|        # Einheit - find from any date\\n   271|        einheit = ''\\n   272|        for date_data in pivot[param].values():\\n   273|            if date_data.get('einheit'):\\n   274|                einheit = date_data['einheit']\\n   275|                break\\n   276|        \\n   277|        cell_einheit = ws.cell(row=row_idx, column=2, value=einheit)\\n   278|        cell_einheit.font = normal_font\\n   279|        cell_einheit.border = thin_border\\n   280|        cell_einheit.alignment = Alignment(horizontal='center')\\n   281|        \\n   282|        # Values for each date\\n   283|        for col_idx, date in enumerate(target_dates, 3):\\n   284|            info = pivot[param].get(date, {})\\n   285|            wert = info.get('wert', '-')\\n   286|            cell = ws.cell(row=row_idx, column=col_idx, value=wert)\\n   287|            cell.font = normal_font\\n   288|            cell.border = thin_border\\n   289|            cell.alignment = Alignment(horizontal='center')\\n   290|            \\n   291|            # Highlight if outside reference range (simple check)\\n   292|            if info.get('bemerking'):\\n   293|                ref = info['bemerking']\\n   294|                try:\\n   295|                    val = float(wert)\\n   296|                    if '<' in ref:\\n   297|                        ref_max = float(ref.replace('<', '').replace(' ', '').split()[0])\\n   298|                        if val > ref_max:\\n   299|                            cell.fill = PatternFill(start_color='FFC7CE', end_color='FFC7CE', fill_type='solid')\\n   300|                    elif '>' in ref:\\n   301|                        ref_min = float(ref.replace('>', '').replace(' ', '').split()[0])\\n   302|                        if val < ref_min:\\n   303|                            cell.fill = PatternFill(start_color='FFC7CE', end_color='FFC7CE', fill_type='solid')\\n   304|                except (ValueError, IndexError):\\n   305|                    pass\\n   306|        \\n   307|        row_idx += 1\\n   308|    \\n   309|    # Column widths\\n   310|    ws.column_dimensions['A'].width = 45\\n   311|    ws.column_dimensions['B'].width = 12\\n   312|    for i in range(3, len(target_dates) + 3):\\n   313|        ws.column_dimensions[get_column_letter(i)].width = 14\\n   314|    \\n   315|    # Save\\n   316|    output_path = os.path.expanduser('~/.hermes/assets/Gesundheit/reports/aktuelle_blutwerte.xlsx')\\n   317|    os.makedirs(os.path.dirname(output_path), exist_ok=True)\\n   318|    wb.save(output_path)\\n   319|    print(f\\\"Bericht gespeichert: {output_path}\\\")\\n   320|    \\n   321|    conn.close()\\n   322|\\n   323|\\n   324|if __name__ == '__main__':\\n   325|    main()\\n   326|\", \"total_lines\": 325, \"file_size\": 11361, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_2d7TphJ5GLgQdyHVzpipMK1t", "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "assistant", "content": "", "reasoning": "**Analyzing script issues**\n\nI’m noticing a bug regarding \"cat_border\" being undefined, but a report was generated anyway. I wonder if the script is broken in that part. The user is asking about the review status of all documents, and I might need to create an overview and plan from there. They originally wanted an implementation, but now seem to ask about the status. It seems I can still correct the obvious script error while checking the schema for \"laborwerte.\"", "finish_reason": "tool_calls", "reasoning_content": "**Analyzing script issues**\n\nI’m noticing a bug regarding \"cat_border\" being undefined, but a report was generated anyway. I wonder if the script is broken in that part. The user is asking about the review status of all documents, and I might need to create an overview and plan from there. They originally wanted an implementation, but now seem to ask about the status. It seems I can still correct the obvious script error while checking the schema for \"laborwerte.\"", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAyQRApAIVYo1fYVXxrPClytF8eDTT6i_1CTDwWIisl-JBcimEZZbj6UNRQyRME03xJUVphgoVTo0LX88KGNzcgRAQhS2IjiOyW-Umec1Zsj2jYPHPAZaaS9eow_h-DTqXgP3oJolJspWM3R808PMrCqDIVlELURlVa6vQmIhrWAxNEVSTgZwHxlYvaTWH0UBFV9-T0zCqniJRAXG1ceOo_HxzGhApHDS9CGtOsXskTyvo0UYz11vDWiqf_UMjMdmYcrCynTOjph1ttonl0BXEt6_tZWFoFLqo00p76Uaxxign4B4TMx14jfzGmIQ-KFIF7fh6YKkGDlHd8xPKAwLlwG86vlFypjFg61McOAq8Q8hyaz-CTopMsFZmd39OpiGSfYEFwnFwrFc3FL2KjimshxqtwKotrO6X6zR8m7caJ5y1tLS9hbszChUVjik7FJYCWmbDfEcPQghVVTrQ6eauSbDkZnT3154MoxgLe4dGbRQCfQAVd1gIUMi8hZYVKlg4IEdcy6C4aApgNjLSKMGbFa8O68vLfzWS2cgvUTzC8bTth1MNgOSW0ydsJpF_q866R4M3e92F-Nd3QisTC3qHHz2202C4ccG0BXhkBQ-Abr3wpXfPSb6ird7OM-m3uy-jCKiS8jVQRoL4pWNvI_Vx1PHYrhf29TtfdGxb0xFXBVIPY0E6F7KiWx7FI7RA0hlAlS2mJCuNj14SJaftWjlaS2ytvaC01kxMlZGa9ij2WAFhHYphc80PvM2q1emspPq4tawIzXhRQndTY96SqH0znDYOuk0aJZ-kO64OZG6-F_elh7_ogmr7NL9Twh-JTwytIrd2ySkQhyx_jJvN8b1_UfPo0-p7fjjTFrJc16nUgc1QsSaxnYoT97JTDV5yRBwXm2Ebwo0Psgga7VlXo7OtGKEPsVtuyKcr07B9PZbPct9gqqqDRBD1SgAk0x_Mx7lKXqVS3hQLDRcXJk2XwgOex5qNy8GJVlRKlFG0E9dQydQ_Jof4sZp7aW0bykRumL62x_QCupAjZ9obqWW6VwtXdNdwEAE77Y4xeL0n9aJfpdtyzYKypoFu7EkVXiwRpP09YdoULfPEAkIrfzF9XvbwX8FFIZ-x_DUX8yLTBXXIDFrejWrl3o56k9ND4WdGu3R_Omp4oJ15Ujn7_TuPJDSPZ3JERAoCCf2dHj25j4jjcDqzlrNtDbyRofupllm35tFu2szE55ep7Z9oRe5Ht_WnGy49dP4mE8dQRow_jfHZk0OIGMmN1zcoEkx_wPDEchmEHUb5jS1ygu7D4D7hpgigq51tVFFxdf6gXpreew0jEwepT5iatz4pEuJOcWFNo7w3DvVhnD1kwqtPvY1peYxv_sojbkEIoffGAlgse7NzrfZEiug84YqGlD6HiGBbVO_sJezUqFytK16UzzDN2l10fX9jVojlIJmFUXneP__3i4D0gG9tyzyDzFS-gNAtxblZEbMxX6j3ZiIW1bLFx20F1KIiFUwDvm085ynSMtKmy9DFmV1mVgIHnRuuJiHeDURpP-TAmwdyb1ie4Jyflpg1HcD_1Z-Lha7lIhvIkF_LR2W_7ZGHvVmiXmQ8hIkOUXGxaqyB3Si0TYtTqvzoKItW7zBAA4UhI2iQCQTJqUYANDXGCfoZU7fz0kHTyuhqxYnclwxHPTpBEHrUcQCV9k7D-z9YNKrekBdrZNrY5FGBJoAoCOzas3vAkP-ovzeC4WJrcPCjr05v_XIV7PrJc4tNCk7Y7Re5nYS4C0GcYhCZW-9Bdd7HZAaBvWjRbRrgSDLzeAaNSIyX1rIjvizPFapN7McwFbqEz07GLiWIf3_OPJVdcqymE9CdlB2nOwcR0HDxFI0WzFX4C-kXM6JWLJSkjGYzOeFnKJz-f9T-e3spGT5Fa0Q838tQQgeZhVX78AP4Aqx-_01O7aT-hVur7MD2R59jsYmagW95NyHy6VUuJ5W4gwEnVX52oeGvUjqmLTq4p2DbJSaSAF0DVRsIK6pFWt7cxyLeQSEB96yitVi6QMSdhNXWxjYQ89uMlAGPZSQ3RMMlqr9tVYpz5KJNvvIFav2uuiwiAuzZdi6t8TEiA_TgvDo-z965YYwnlQPNaA_SVyYXC4gvn0kSSAO7gzpp43Hz4hGD_jNf9f-kaIqqyP3qUWRgF9wL18iFm56Y3dkyzi9smx7H9rIbsP-UrrDQjfr8dBZ10rQxR9l5fX7_2_bmoA=", "id": "rs_024bc048de93f19b016a0324087d608191ab0e26789a4ac2ba", "summary": [{"type": "summary_text", "text": "**Analyzing script issues**\n\nI’m noticing a bug regarding \"cat_border\" being undefined, but a report was generated anyway. I wonder if the script is broken in that part. The user is asking about the review status of all documents, and I might need to create an overview and plan from there. They originally wanted an implementation, but now seem to ask about the status. It seems I can still correct the obvious script error while checking the schema for \"laborwerte.\""}]}], "tool_calls": [{"id": "call_ByxHtl5QocXKcxHN4KuevSrr", "call_id": "call_ByxHtl5QocXKcxHN4KuevSrr", "response_item_id": "fc_024bc048de93f19b016a0324114ebc8191a7477d8391c31692", "type": "function", "function": {"name": "execute_code", "arguments": "{\"code\":\"from hermes_tools import terminal\\ncmd=r'''\\npython3 - <<'PY'\\nimport sqlite3, os\\ncon=sqlite3.connect(os.path.expanduser('~/.hermes/assets/Gesundheit/health_data.db')); con.row_factory=sqlite3.Row; cur=con.cursor()\\nprint('laborwerte cols:')\\nfor r in cur.execute('pragma table_info(laborwerte)'): print(dict(r))\\nprint('dates/counts:')\\nfor r in cur.execute('select ermittlung_datum, count(*) n from laborwerte group by ermittlung_datum order by ermittlung_datum desc limit 20'): print(dict(r))\\nprint('sample:')\\nfor r in cur.execute('select * from laborwerte limit 3'): print(dict(r))\\nPY\\n'''\\nres=terminal(cmd, timeout=120)\\nprint(res['output'])\"}"}}], "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"laborwerte cols:\\n{'cid': 0, 'name': 'id', 'type': 'INTEGER', 'notnull': 0, 'dflt_value': None, 'pk': 1}\\n{'cid': 1, 'name': 'dokument_id', 'type': 'INTEGER', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 2, 'name': 'parameter_name', 'type': 'TEXT', 'notnull': 1, 'dflt_value': None, 'pk': 0}\\n{'cid': 3, 'name': 'wert', 'type': 'TEXT', 'notnull': 1, 'dflt_value': None, 'pk': 0}\\n{'cid': 4, 'name': 'einheit', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 5, 'name': 'reference_min', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 6, 'name': 'reference_max', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 7, 'name': 'einheiten', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 8, 'name': 'bemerking', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 9, 'name': 'ermittlung_datum', 'type': 'TIMESTAMP', 'notnull': 0, 'dflt_value': 'CURRENT_TIMESTAMP', 'pk': 0}\\ndates/counts:\\n{'ermittlung_datum': '2026-05-10 12:15:58', 'n': 241}\\nsample:\\n{'id': 276, 'dokument_id': None, 'parameter_name': 'C-Reaktives Protein (CRP)', 'wert': '1.1', 'einheit': 'mg/l', 'reference_min': None, 'reference_max': None, 'einheiten': 'mg/l', 'bemerking': 'Ref: < 5.0 mg/l', 'ermittlung_datum': '2026-05-10 12:15:58'}\\n{'id': 277, 'dokument_id': None, 'parameter_name': 'C-Reaktives Protein (CRP)', 'wert': '16.9', 'einheit': 'mg/l', 'reference_min': None, 'reference_max': None, 'einheiten': 'mg/l', 'bemerking': 'Ref: < 5.0 mg/l', 'ermittlung_datum': '2026-05-10 12:15:58'}\\n{'id': 278, 'dokument_id': None, 'parameter_name': 'C-Reaktives Protein (CRP)', 'wert': '9.3', 'einheit': 'mg/l', 'reference_min': None, 'reference_max': None, 'einheiten': 'mg/l', 'bemerking': 'Ref: < 5.0 mg/l', 'ermittlung_datum': '2026-05-10 12:15:58'}\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 0.41}", "tool_call_id": "call_ByxHtl5QocXKcxHN4KuevSrr", "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "assistant", "content": "", "reasoning": "**Troubleshooting import issues**\n\nI’m looking into an import bug related to dates where I need to ensure all target dates are unique. There’s this array of all dates that seems to have duplicates, and I’m trying to get the exact date query without including the time. It seems like there’s a mismatch with the timestamp for '2026-05-10'. I should check if the pivot table is empty and inspect the existing workbook or find that XLSX reference. I’ll need to search through the files to find answers.", "finish_reason": "tool_calls", "reasoning_content": "**Troubleshooting import issues**\n\nI’m looking into an import bug related to dates where I need to ensure all target dates are unique. There’s this array of all dates that seems to have duplicates, and I’m trying to get the exact date query without including the time. It seems like there’s a mismatch with the timestamp for '2026-05-10'. I should check if the pivot table is empty and inspect the existing workbook or find that XLSX reference. I’ll need to search through the files to find answers.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAyQemgkT6eQnFCZPr95lvD2K98uK3uMn92aLSD9QiybOM0ICRdGtl7THyo6OUPqBuOapQH8OOWspWwD_u7AuZZc_bBYR_3adnkMIoYG-5XkJqzqkQOC_NdI2hIoy5oJyxccPqPhC02PGwbTdTVt2zbO-TCZcQtvaoi8pQIM3vPBIYip3FmD6_siC1KRG8c_kYgdoynqPGLFn_U1_5X8EDl4yywY1ByrAhZaRh7u66AASpesIgroJ3KQPqzRbRuYh3BPbDfaOf6TAIRjDvN0qclQE-cM6sP4eBLZu1fmOxfK6qLdpnrj4Vj2s0-0kXkJnFVT3Put8dz6xtotF7DJNhtKRFM9X0mBmDnPqu-CA5BsckuesfyjnVl8BvVpfnfiZgEqujIBy_EB6Fn5-_k4KZwkGXVey25SEAJ2ZxX45SF6O6C0kQyxaU400YwYp9Q1zBEcBiqSxRfTgBJibp5OZXk_kTzjX0bmb_ppqgYGiLLl2XWD9qcId6mG12TEVLIEbBrvPSqkqGuKxKoGt3SrWI4tABZo2wIZgyb0bqKwErp-16LfLeMq1OTst7A1zweGHvXADw52JwI_8s2wJEJb95HByc28aSiJrep-bpvo-X2IiZPcnNwBSCtmQ0SEp-kju8K8v9hwjmCTsQxdPPBnjP7YGLjbqgMXNLsMNRWcwYL6N9TeZ8aS4cqGhq7_3nopFHsJX771B_hODghvIUjN1KxJ9Cw9aG7FLVLVFqdqlw5aGn_GY-7elEcot2fdW3D76H0P8ohZeUX35phOGuCC1dSjhkw-WP0YzT-zX6rogNsjXsIxH8BoZn0WJSohHbvclFBVyikceM_LqibKNcHvtn6RLIEuVwkh-GabpjKJo2x6Rds1hcdlBaAK5jcPtG2h8IcLWaNK-6yIbj9Vper0Hfo7FCF0NdnEemadtqeKe875pdf5_Uj-VMgA2x6rFwTKaihu7q1yQW3yIXJFGHMu4dhIaey3RB0xfUAaFnfaMsqxU5hfJqqWeGLS4dSLeCzYeKntQDTxP7lsowMLdZKPWwbyEnDnPaTb35YqTr7Bk13Q2kEOFBwM-cBNs2xJjq18BNAs3roJBnUslz8jjjIQRSiPvq9pIP93XCz_zLUOxUMyJ8TsEBMSq9hjdSvBURcnt1ib7i-T47xCL-uH3EhMmVEugzLY-meN5nRccV3tNx79W5QvaeW8JrDz0Y4qTQzxRPLWFpwEjedn_6GyJ8mV__Y8BxzgtiDt3lYiS0BiRQ3zSeDWDfETwQZHnFWoI3BBMKAAYltpOLSoPavtBECN1I3qgexZxtNU7qr3mAU2c6r22OF2ul9lUfT-_uxhQ_EhDocaJ5itvMT0i9HwijYv6Sf9y5Mu8N4cuygYhhlRbl2DPnY604rWkkgcNPyZ1EEIy_FvlyDhSpLKjWQxXjsuFfsQ3ow==", "id": "rs_00013adc527d4a88016a03241954fc8191bdc36daca0ed9e4a", "summary": [{"type": "summary_text", "text": "**Troubleshooting import issues**\n\nI’m looking into an import bug related to dates where I need to ensure all target dates are unique. There’s this array of all dates that seems to have duplicates, and I’m trying to get the exact date query without including the time. It seems like there’s a mismatch with the timestamp for '2026-05-10'. I should check if the pivot table is empty and inspect the existing workbook or find that XLSX reference. I’ll need to search through the files to find answers."}]}], "tool_calls": [{"id": "call_uVEOkkLVdnvs1fcZ7r1G4k2B", "call_id": "call_uVEOkkLVdnvs1fcZ7r1G4k2B", "response_item_id": "fc_00013adc527d4a88016a03241eb8b88191b0655cb72e542a0a", "type": "function", "function": {"name": "search_files", "arguments": "{\"pattern\":\"*.xlsx\",\"target\":\"files\",\"path\":\"/home/agent/.hermes/assets/Gesundheit\",\"limit\":50}"}}], "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "tool", "name": "search_files", "content": "{\"total_count\": 6, \"files\": [\"/home/agent/.hermes/assets/Gesundheit/reports/aktuelle_blutwerte.xlsx\", \"/home/agent/.hermes/assets/Gesundheit/inbox/260510_Krankheitstagebuch_und_Ernaehrung.xlsx\", \"/home/agent/.hermes/assets/Gesundheit/inbox/260510_Laborwerte_Uebersicht.xlsx\", \"/home/agent/.hermes/assets/Gesundheit/archiv/befunde/260508_Krankheitsverlauf_Augenlaesche.xlsx\", \"/home/agent/.hermes/assets/Gesundheit/attachments/Laborwerte_Uebersicht_2021-2025.xlsx\", \"/home/agent/.hermes/assets/Gesundheit/backup_original/attachments/Laborwerte_Uebersicht_2021-2025.xlsx\"]}", "tool_call_id": "call_uVEOkkLVdnvs1fcZ7r1G4k2B", "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "assistant", "content": "", "reasoning": "**Inspecting workbook structure**\n\nI'm considering the XLSX file and whether I need to inspect its workbook structure. I might want to import it for further analysis, but I'm not quite sure how to proceed yet. I need to think through what specific information I'm looking for in the workbook, and clarify if there's any particular data or features I should focus on. I'll keep exploring how to best approach this.", "finish_reason": "tool_calls", "reasoning_content": "**Inspecting workbook structure**\n\nI'm considering the XLSX file and whether I need to inspect its workbook structure. I might want to import it for further analysis, but I'm not quite sure how to proceed yet. I need to think through what specific information I'm looking for in the workbook, and clarify if there's any particular data or features I should focus on. I'll keep exploring how to best approach this.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAyQkcHhHh1M4YM1J0qg0oi5pUg4ksHqRPcbgbmObpS-9Za-YKgswwI9rwQymG04x4Z7fKeFdn8JvWH5uln-PZ01o9Gz3YfzDXtvLqFR6kuZvllF3E4b53ySt7_zPrxZZ3lH5tHkNvWS3GdUMnkhv7qC-N-ZnmXnVpN9gScdjJquOaSezmKBhTTeaTgTCRNq9d7YGxy2KANH73a49lUOo5rhzukBQy7_Tjzl5MLsLcGnmaSUQSIpGuMbwEBDDPPfvMX5iR9zFGTB0-mDxo6YlhKFa8bYBBOsu91vz-YjWwNq5KeycBSpA2XWh2SWNYb8WofKLqsHC6rihJ93K7vST79x50L9Qkg0IYht_zcS7kjj-qZ_QaLBAsLqJPmO0pAcv4Av-5tEjJrR6mP8kInlC0AAreYojj3Hc0i7EnO7aZnBfUhPEvxuffbM-nFbPe1KkSTMFyd0OYw_o7ulBgNa0meuhjRBkgtDvRNo7WsT3s1t59XvChCmXS9JVbXP-wPkrfsyjLwr6UPDi-Q4NOLXV6qch69q2Lx1iCYspCHcS1eEVOZ9zDoQVr-fRSuV7FVUMBmPoNezbg67SMfCwdnEtMGj_1fXooWI8_AP6fqUbtJMUajoGJAbwTnh2wuT9hM8FM5p6Qr9xPsh67dlZs5v0BY0MPdROvucMYQHL0VTaBuR1vxfdmHvpxLfjF-deXf5H4zcLVDO_kz4Tc3Lyk0He9acNAxAO2kisX_ndICxygLM_b3BO-tY8GzUqvkVI5ciCxzlDBL1Zl6CCTwyw_cdA5hwJEg4O0P3G6XormYz0pB2xE9WoYjYSPvYAhN68DgRRzh8g2wGDo2jDvq-IvBrmXEoEB5q44zL1UTLoxDFkE2vrWVi-t6azc8VscXqKznUoUbaVJqHmqLFCBZ4NYlxhhUfMS25qaFhFYGXyinL47ijJFWsw7sC-f1FLwO1TrzOxSBCxi22d2rOM0upT_m1BXQDnw5jlq7yZv15XvYGOYq_taCs=", "id": "rs_037ca0008c5f056e016a0324220a588191b41fa98f939a8526", "summary": [{"type": "summary_text", "text": "**Inspecting workbook structure**\n\nI'm considering the XLSX file and whether I need to inspect its workbook structure. I might want to import it for further analysis, but I'm not quite sure how to proceed yet. I need to think through what specific information I'm looking for in the workbook, and clarify if there's any particular data or features I should focus on. I'll keep exploring how to best approach this."}]}], "tool_calls": [{"id": "call_AKFSiWCmFMYzUJ6xMOMyRiVF", "call_id": "call_AKFSiWCmFMYzUJ6xMOMyRiVF", "response_item_id": "fc_037ca0008c5f056e016a032424f7508191b46d03a34ff28379", "type": "function", "function": {"name": "execute_code", "arguments": "{\"code\":\"from hermes_tools import terminal\\ncmd=r'''\\npython3 - <<'PY'\\nimport openpyxl, os, glob\\nfor p in glob.glob(os.path.expanduser('~/.hermes/assets/Gesundheit/**/*.xlsx'), recursive=True):\\n    try:\\n        wb=openpyxl.load_workbook(p, read_only=True, data_only=True)\\n        print('XLSX', p, 'sheets', wb.sheetnames)\\n        ws=wb[wb.sheetnames[0]]\\n        print('  dims', ws.max_row, ws.max_column)\\n        rows=[]\\n        for i,row in enumerate(ws.iter_rows(min_row=1, max_row=min(ws.max_row,5), values_only=True),1): rows.append(row[:10])\\n        print('  first rows', rows)\\n    except Exception as e: print('ERR',p,e)\\nPY\\n'''\\nres=terminal(cmd, timeout=120)\\nprint(res['output'])\"}"}}], "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"XLSX /home/agent/.hermes/assets/Gesundheit/inbox/260510_Krankheitstagebuch_und_Ernaehrung.xlsx sheets ['Erstelle mir eine Tabellarische']\\n  dims None None\\nERR /home/agent/.hermes/assets/Gesundheit/inbox/260510_Krankheitstagebuch_und_Ernaehrung.xlsx '<' not supported between instances of 'int' and 'NoneType'\\nXLSX /home/agent/.hermes/assets/Gesundheit/inbox/260510_Laborwerte_Uebersicht.xlsx sheets ['Laborwerte Übersicht 2021-2025']\\n  dims None None\\nERR /home/agent/.hermes/assets/Gesundheit/inbox/260510_Laborwerte_Uebersicht.xlsx '<' not supported between instances of 'int' and 'NoneType'\\nXLSX /home/agent/.hermes/assets/Gesundheit/archiv/befunde/260508_Krankheitsverlauf_Augenlaesche.xlsx sheets ['Erstelle mir eine Tabellarische']\\n  dims None None\\nERR /home/agent/.hermes/assets/Gesundheit/archiv/befunde/260508_Krankheitsverlauf_Augenlaesche.xlsx '<' not supported between instances of 'int' and 'NoneType'\\nXLSX /home/agent/.hermes/assets/Gesundheit/reports/aktuelle_blutwerte.xlsx sheets ['Aktuelle Blutwerte']\\n  dims 81 7\\n  first rows [('Parameter', 'Einheit', '2025-09-20', '2025-12-29', '2026-01-28', '2026-03-06', '2026-05-07'), ('HIV Ag/Ak Comboscreen', None, None, None, None, None, None), ('HIV Ag/Ak Comboquant', '<1', None, None, None, '0.23', None), ('Anti-HBs', None, None, None, None, None, None), ('Anti-HBs quant', 'IE/L', None, None, None, '30.0', None)]\\nXLSX /home/agent/.hermes/assets/Gesundheit/attachments/Laborwerte_Uebersicht_2021-2025.xlsx sheets ['Laborwerte Übersicht 2021-2025']\\n  dims None None\\nERR /home/agent/.hermes/assets/Gesundheit/attachments/Laborwerte_Uebersicht_2021-2025.xlsx '<' not supported between instances of 'int' and 'NoneType'\\nXLSX /home/agent/.hermes/assets/Gesundheit/backup_original/attachments/Laborwerte_Uebersicht_2021-2025.xlsx sheets ['Laborwerte Übersicht 2021-2025']\\n  dims None None\\nERR /home/agent/.hermes/assets/Gesundheit/backup_original/attachments/Laborwerte_Uebersicht_2021-2025.xlsx '<' not supported between instances of 'int' and 'NoneType'\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 0.81}", "tool_call_id": "call_AKFSiWCmFMYzUJ6xMOMyRiVF", "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "assistant", "content": "", "reasoning": "**Investigating report issues**\n\nI’m looking into a read-only dims issue that could be due to optimization. It seems like the existing report is fine with the dates, but the database only has one timestamp that doesn’t match what the script reads. I wonder if the report was generated directly from an XLSX file. I probably need to check the script, as it might be broken or outdated. The user asked for control/optimization, but there’s no status on that. I could also search for import scripts related to XLSX.", "finish_reason": "tool_calls", "reasoning_content": "**Investigating report issues**\n\nI’m looking into a read-only dims issue that could be due to optimization. It seems like the existing report is fine with the dates, but the database only has one timestamp that doesn’t match what the script reads. I wonder if the report was generated directly from an XLSX file. I probably need to check the script, as it might be broken or outdated. The user asked for control/optimization, but there’s no status on that. I could also search for import scripts related to XLSX.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAyQz05dx9fgXap46Cs-br1J3dZFgp29da3iTTAMntspFQd--w5GwhgMOEi7ky1wynBgI-Ymgj28hVks2CAeIsnffzVkh_jqN2Ni3VKls3u4N3qcpQ2lE0f3zdGOTOVesgJFNH_mgTK3WVmXO6v59bNldlXbC8qucQ52d7LdC6FQMRNcYSUjiI-4-1CZ0yoOWSoicSZhG7haEYcE0CJYTgIcSmoOYgs9A75y2ZN8Xc1DV0xxiz1o_1MF6MN0qCBCtmAQm-K0sW12Zk3Pc0iDVpqraj2SByKQzMBhYqZz_X8OkMuAI-UUq5019K2WF4IHUMDwoX6EMZvH7TW0s0caebCJIhwT5bD6kj0eJqvcPseqp-dK7slPriUPb_CLSDIioUoL1RJpmurFdI_xwG7LIrloIR4v03huI8V5y_xnkTKT7Hki3ywUTabP2pC5a4j_EfdVjdosm4Cnf_VJWD2_S4QcL9XiIRvzam2LztPaFJd7co2jDaVuWmlZJwgRQCp0RJp4KOSExeqo2K-bw6REzPQCknvqftLrkGeM12pz14aDocfyXdKnbbK33KsAA1b_RCOJ4loKzDaF-AlPwQGYktdE1NUUkHf6qoHLIZNnR6GLmNdZnoQS4ZpbhTkLNCRjKNUz2GzytXYQ1_4lEGNyvIx0_wAH5v9-lck7lKtLgZ4zTuK4uKLMoS23qXEZj466u3L_x5VkH0JlwnZuC48aBBOdoG4VEd6VAIs2SGQXYzePCK0EmYPC9EO3JRVL2dZyjEVrO0A-Zzq8Zn4fvl3re2BJXPiRjs6zx_6RwV8RcvoOcKZH3wTNe1VXGUbyqbrljfCJdJ5kmngiBhdUsOtP3oOGWMmNchMyxoImIPDQjp7lRbIhW5ljFg5fCrgDXXw3pviQLkHx-NGHOFT0l_z-jrnABeLCgpPk6tShfANE1HaLiG2JDumJO_fcueu9AG6b5tDfcVM_0VQab0VbbfVEuC5Tpp0AAX6vdxL3CETF8tYiJkcJ5_BjAoLlYLF2VKZ_GqjTon8ozyVcZOqmlPUM21SrRzpryfWIBBuplEyzR4Hgx2-2iIDCvqMkA2fmz8y-DKuFHRL_uEZlTCvY_naQRBeo0hkQYbjEGPF-QyBwrrZfmS7IFFqhK9VAxHcq4H6i8ffP2uG5wDhaw5qlj0Of06gRSgZqv2QRaQKY0TJcRlqp-bs_gEVRlVWYel2DVUp3LZlURrOuCc9gFZOY4DjcKeLo6g6cc8w7nr_6JLYr2GSiAdHkFarjCX_i7Jf7BAOhpmr4Zpf5O03YrtCBMj9vtQJ0vDV2F942ebds7s6d2MtGLjmFEpIdhh_Uy88jvS8DkIebEazqUT_RqGmG0pN2yTcW5RjcKPbAF9w1LnqfsKqT3xkcMmmwsctUG_ZE6Q1W1tWr5fdz08xwtdrSI4au3buCDtTS1bFfNIyYW6CgWrA1m5_U=", "id": "rs_03a8d627398e5484016a03242de5688191bc9888be0a36cb52", "summary": [{"type": "summary_text", "text": "**Investigating report issues**\n\nI’m looking into a read-only dims issue that could be due to optimization. It seems like the existing report is fine with the dates, but the database only has one timestamp that doesn’t match what the script reads. I wonder if the report was generated directly from an XLSX file. I probably need to check the script, as it might be broken or outdated. The user asked for control/optimization, but there’s no status on that. I could also search for import scripts related to XLSX."}]}], "tool_calls": [{"id": "call_fQ5g0VOhNmqJMSnmHFWo0nQD", "call_id": "call_fQ5g0VOhNmqJMSnmHFWo0nQD", "response_item_id": "fc_03a8d627398e5484016a032433496881919c950cf678ff6566", "type": "function", "function": {"name": "search_files", "arguments": "{\"pattern\":\"Laborwerte_Uebersicht|aktuelle_blutwerte|xlsx|erhebung|2025-09-20|2026-05-07\",\"path\":\"/home/agent/.hermes/assets/Gesundheit\",\"target\":\"content\",\"file_glob\":\"*.py\",\"limit\":80,\"context\":2}"}}], "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "tool", "name": "search_files", "content": "{\"total_count\": 0}", "tool_call_id": "call_fQ5g0VOhNmqJMSnmHFWo0nQD", "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAyQ3lt3aTncl6RPdglpCNn8AO_7XnvqiJ9i5UeDdq2RWAoN6MV9DtQ9AGIhesNXg2lW9DgYE-Qz_mi0wFmbuH6Npl9cvuBSI3g7ulO3xvKi49RqlLSNQBnS2qpFYcoLbTcTziaJQbVr3TOkAzHYhtnT-1YoxAA1ggN2XM8KYsTehbre1zUellAEFWpQfdize6ulNwYcDjfqSWW_qgCrp3NGSqk1vet2CuhO-_wsN-WPAaR7km--6ypkrZxx9wpdae0j_eYd6pDpC0-G9Ta2mssrvifLO4e0gGTzzRuWEQFRH1AjgozcNQVmi6d7hfmCpwC215Ok3DHIoN_2l-MZWpPEQhIxS-o3121gn9rQugJJjvVrtWxo0jazpX8lJRzzscl8BTfDOL-vxyFP-tikubKC_Dhw_4OV31pXB8oU4jfCidwjf1y7HRNjCRqngO4lYXa8H4YxPbZu6Bm_P-d54EoCculQp3RJehlCnBAbdNMimdLblBNXKeB0dY38Zd17b8HndWn9l-VNuVhhNa9NKBIUt8X6LeDWOVNrTwxiuTNtWb4Hu_z8z-tUI6yfi21sb6CPC7Uw09RtjsnWPZ630OHm5c1ZRQ8sRe1OL29JfzYJQegzfCZ7L9mtGs9sb6yBtrSjXF6FxGma2V8knkKj0BCW9CgnQUEcduQl2kkEFLzFlgo60SLpPd7zFXwDnk0Ir4N9SgYyEFK43pA5OOl0irgWJc4Jg3RXZX_enx56pVH41N9HqNShlR9mnUaxULkP4_ITBxC8Nu2JLUxdnYbxhmYXjdIjy4oTTM3gUTc1K3zhW2uo-vqb-NVCkk_QPAM2RXMFBl1Lri8-rzA6x5sb0yf3MRRvZj7VvoTUogkH9QLtm1Xn4OxjVxpojDgc444-CHnhQXQDzkmfAv0E63nRk2aVR79T86ZnTPdRUBE1NSU1uWSPIeShE477oXsAvZLWVcQ9z", "id": "rs_0b637d4265e7498a016a03243698f0819196642ffac707477f", "summary": []}], "tool_calls": [{"id": "call_zdBaN6cHvy4eKq7x4KQkeJU0", "call_id": "call_zdBaN6cHvy4eKq7x4KQkeJU0", "response_item_id": "fc_0b637d4265e7498a016a032437891c8191bf4d4e49215d6a5e", "type": "function", "function": {"name": "search_files", "arguments": "{\"context\":3,\"file_glob\":\"*.py\",\"limit\":100,\"path\":\"/home/agent/.hermes/assets/Gesundheit\",\"pattern\":\"openpyxl|load_workbook|aktuelle_blutwerte|Laborwerte\",\"target\":\"content\"}"}}], "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "tool", "name": "search_files", "content": "{\"total_count\": 0}", "tool_call_id": "call_zdBaN6cHvy4eKq7x4KQkeJU0", "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAyQ877yte8nAF1kBWa-rFCIdP5WXY1jMgPe8hFR7Edr2BiJjTPnO2Z08SP5KkAzcYE2ZYb9d26hhmrgoD679l5sPhDg0b8Vb5C9U9G2H9xwbftVUxN0Ek_KWOf_qFIcH6U-ceOe_l7C6Hdff45d_LHU62aKgR_9ei8ZiL_O4KUZrGXVIyz7q_Y4VDPkJpkulLucb29DTJgksg4EeQJRTcuAHngsn6p1oRknptA4OVykSeQfsvpDQNG1Pebj385bsyh2zfiKLjgJSBA8owbMnKkACXj6Ku_UOdofv2FOw_c7WZ4kpN4fujccVa-j06ktPCdL5vVTSmJoUSGPI9XPMIhhUOBfSNGDQ7pxWG62Dt9a4NfNIBdP9KvZy6BD8ZTNii-pEP3GorkwCR1pn6Z3GKC5cotPCZLC23coNOub7EjyRPT1arpAeyyxcMs1194Fok2oBszfpOH4eo1hZffXQ_tXZfQhffBhYcz95jM_lZBMYEVqE_t7wv1theF6ylvXS1sCQ694DPHN4qoUqNVqpTgdXAi_kkNwLyx5tYXcbMZQa-NcdB58LzilJ7Ko3xq4aXQtSdtP0D590wJEP3VhLroyNABi-OITZLUogrxxUy-942KNsBZnW0LsRzwJJ0loKqrMJ3vB8nvX-UVrW_FPj30ZKDCz-S4cU8Zj6oRhbytL_tOLbryujplhE6iSBQk49cvh9zIZhDTt8g_RXZIX2-eZiZEhWX-J8etJ6pcLwv2_jKVevuRgGzQBeFewdseapJ8JctcE8NM2O6npP4vE0weEAOvtzBzwAEm96wjJLoaThzU5AnBYJ--5dyEzkkf_vqHkkr0fzJF_XnfLTPA24rHQgycGg1rJdlcOdxnghf1DjT-i0AfTlee-kGbd39pVCLxZ_B9mcbgckhBHUHvwlutt7l6eEs_H1iOmrKioNRYclBYpktS6Aaou-foI3xbf8skTTBzuNuPPmJpjpNhaG0SWCOjSeXMpsaHcTejPcZiRRryS7stO9YMZXfvcGVegebiSM7Wkx0QJJBbqrH6t-iQYJXOhmof3o3cZU5fY8PTBR3ZM=", "id": "rs_020d80545a53994d016a03243b2d888191a6b407814a8860b7", "summary": []}], "tool_calls": [{"id": "call_olIaqEKGM7C3ZbkmKEntfRH1", "call_id": "call_olIaqEKGM7C3ZbkmKEntfRH1", "response_item_id": "fc_020d80545a53994d016a03243ce4a88191ace8e172d04ccb30", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python3 - <<'PY'\\nimport os\\nfor root,dirs,files in os.walk(os.path.expanduser('~/.hermes/assets/Gesundheit')):\\n    for f in files:\\n        if f.endswith('.py'):\\n            p=os.path.join(root,f)\\n            s=open(p,errors='ignore').read()\\n            if any(x in s for x in ['openpyxl','load_workbook','aktuelle_blutwerte','Laborwerte']):\\n                print(p)\\n                for i,l in enumerate(s.splitlines(),1):\\n                    if any(x in l for x in ['openpyxl','load_workbook','aktuelle_blutwerte','Laborwerte']): print(i,l[:160])\\nPY\",\"timeout\":120}"}}], "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"/home/agent/.hermes/assets/Gesundheit/generate_laborwerte_pdf.py\\n3 Generiert ein PDF mit Laborwerten aus der Datenbank.\\n144     elements.append(Paragraph(\\\"Laborwerte-Report\\\", title_style))\\n173         elements.append(Paragraph(f\\\"Laborwerte vom {date_display}\\\", header_style))\\n/home/agent/.hermes/assets/Gesundheit/scripts/analyze_document.py\\n98 - Laborwerte mit Referenzbereichen\\n/home/agent/.hermes/assets/Gesundheit/scripts/verify_system.py\\n51     print(f\\\"  [OK] Laborwerte: {count}\\\")\\n/home/agent/.hermes/assets/Gesundheit/scripts/health_manager.py\\n8 - Extrahiert Laborwerte aus PDFs (Camelot, PyMuPDF, pdfplumber, pytesseract)\\n167         \\\"\\\"\\\"Laborwerte aus der Datenbank laden (FRIDAY-Schema).\\\"\\\"\\\"\\n200         \\\"\\\"\\\"Laborwerte aus einem PDF extrahieren (Camelot + PyMuPDF).\\\"\\\"\\\"\\n237                 # Einfache Regex für Laborwerte\\n462             print(\\\"[WARN] Keine Laborwerte gefunden.\\\")\\n504             print(\\\"[WARN] Keine Laborwerte für Dashboard.\\\")\\n550         # Extrahiere Laborwerte\\n/home/agent/.hermes/assets/Gesundheit/scripts/generate_labor_report.py\\n5 Referenz: XLSX-Datei vom User (Laborwerte Übersicht 2021-2025.xlsx) für korrekte Parameter- und Datumsstruktur.\\n9 import openpyxl\\n10 from openpyxl.styles import Font, Alignment, Border, Side, PatternFill, numbers\\n11 from openpyxl.utils import get_column_letter\\n163     \\\"\\\"\\\"Hole Laborwerte für spezifische Daten aus der Datenbank.\\\"\\\"\\\"\\n216     wb = openpyxl.Workbook()\\n316     output_path = os.path.expanduser('~/.hermes/assets/Gesundheit/reports/aktuelle_blutwerte.xlsx')\\n/home/agent/.hermes/assets/Gesundheit/backup_original/generate_laborwerte_pdf.py\\n3 Generiert ein PDF mit Laborwerten aus der Datenbank.\\n144     elements.append(Paragraph(\\\"Laborwerte-Report\\\", title_style))\\n173         elements.append(Paragraph(f\\\"Laborwerte vom {date_display}\\\", header_style))\\n/home/agent/.hermes/assets/Gesundheit/backup_original/scripts/analyze_document.py\\n98 - Laborwerte mit Referenzbereichen\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_olIaqEKGM7C3ZbkmKEntfRH1", "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAyRRywagBv0pe9E3gb_0-FXxgNYGQQkKEfO9ojIyB_La_ul65jfxMTQWDuB8UrmJAjpt-bvF4buKI-ZhD7SlzFRuikOHupe6Hyb9hf2agcwJkNUrq4uiPUHLdm-hdswkGhdOVlXuJTY1Cy8YHWk3LmwQVM5s33q5FX30g1CKgShSodAFIaOW_iYI-ztOcRyrDWnXsinyR3gN-6MeG2498ekn2MQX3kW5wjyE1UTzZeyxS6lpV3bceCwJk7LrEZnV77wM3WfDRe4MDur-GkVM4e41IWrNOKI4zeIYf9DeffQFanBjxPg-2Fgrq6kYjvF-ZlIwHo9y9iIaRsqUA0e8xYtMSWiNXs0s4BRb0qOGwsBWmK-6GJnKt5DYNpzvnpUFDDS_g38g-9ZNyP8UgM_4Zp8vd0i3O7WDoYNkx_z8UJFnu9kriNO5MUBmF2PTlhNl7paCKzP8DQKr-_OCX3w5_XBjCcgV7gzjAP2RHmiENLWkgUEM1F54jINL6N9BcL_t1Kvptbo53LuOQbR2XQAqLXTatXj8uuphhiXX5Q854nXSn2f4Zv4NgJTXlOIpf8gxb-WW5MzuI8XF7M0yhBt4PpNXwsGkTygtGI9UGsFQUt22dCSo2mVkuQuCIxE2iMT_gRgiHyUFMwShr3Onz0HQ-aBjExlhi5CdAD6VdLdLCbM4zb6XNkVjfDJiiMjpMUJIdhT4CJMVSjd99UhV8K8TkE1HMdJOx0DOCtty6XPA0vo3qhUoa2Fl7BDVMBPtvWXog_Mm3uEdTkTI_tP8KVM7KwEQEtaisphco1RYFkJBUCSob1DMM68dejSbQ5oELQLB_RUs1nrZq0BXcmlJ9KjzvXiHiYGz-neNyNPGqon_pJUyQbU_XWgbMN0RqaoBktr_IYZUhnZwloigJk7W3kXjNbfRbNil38nRusvXbkadZ3ISRSpErHe5ktOifP5ABF8LaitRahNPhuGwjc3udWVptx73L3T_fLx48DZtcD7bwIN-Y-dxEqvpQMgHKdme0u9aFkLneYZuvmjs1a8kfRYT-2XR8eI4iikmcwkCKii2DikH5WWKPC_UXRJGxIQLPtaUvPAVWjt_nVYD3Ry4oafuf5yR1SR0JY-LEPf-5DFI3xHsDR8ERkhwJeIzqcs_qsdYKb09vRzDd0IvRmqcz3ZXcJYG8DFToAZJJwGlep-Zg_kUYIYAl4edh0M2VCJHpQjF14ivN4o5y6tBeQ4R2wJ3oOQYszGrCgnu_e_gToAqh5yqw_kJXes-9R-g4JUESnemnlmv7uV57xQQSANozj8nwC8PseFm7OUxU2MIIjRHZn9uZEhhKP-L1Gs0THB_oN0QAE_vqJTHtpehnoWLk3twxP3NBmooDknXKE6N-c0v3uTPCRevJyKryzydr6Ae1J0nUmNYudzhZ1Amgmk9KRerOWmywzuVrYgjxYGoo7nbYOJ-A6u13OcMzsq4cQQ6E2Mo8hoL8PquZ87x6C-LvISUY-WPkiK5pE3-4InCrS-f7wWwtcUC62ob4-QuCkZ5kCeZoFRP29vaF9GK1fpns6rKvlV8P4Ir3drjYZiMpKWMilHCDxoq4hzTmcFJYhwDJ7NpxaBeooxe8FR7aHLxu14dW6_KRGVIZ0QUr54ke9X_3A3DENgEYMy1GY92qAFmMfz-PSLu--Ac1iG2r9ptWolmrDQSwwUB69vy7y20Sx5cDA_LbqkZYlv1trmTlGGlP85mM4etOBII2bP3dVd_Qmy8vYWjpxL6q00xA7uXqGz3bFFdH9y7BQZHVGyOwi6CGTGQp10hsCC0fxtkR_Fl6R0ro4nhqqeDF-iRat-TbdB_Tlgjs-URKbCcfNugBoDCwg8T168O7LjFYOGx_ajeXEHJ6Ug8z2Er6y9K1mO9s3UWHNMQwbns_XRaYMbNYtOoz9cPc9g07My7F16o9O2RROjd_8j3r3yIW354lJMv1sOMoe6cSuRr_D9FL2cTfRgG-hFkrlKaAH1M70CJUF5mq9sqoqHBYGpc4ljc0dLUyqQgZePqooqQE-dXecQrHDVXZ1tP5QsANsZ0aHl8GYmsmfk8ENsB6F_MkaBCg2amtT2hWZk0VpToJqgM2Z3ivk5FI4Bbo8SbIBr4hXgq346945ZCIbcFtO-8yWOd_wNJogVwYVX6tFwiSq1fO57lYJ1h3vja92cYwIC68Lv-32-RYakt9Fv9SBvM4FaItnE0OmqYGSjllkGPGQQfTS7uuPMV77euuMs7kCHUosTa4SWi6TjZGPeelYQ1SozcMOfoDs-hde_qlgyzBTcJsC4Lq-5CiF81oRwi3YtcDmWvOPcUcqIDHu41RvSjui-ReGZAQi6ChERiVETRIILhL5GoWgegYJBNFG8byv5lGDikLPR5wUaP_Uv_3itPG_IF5n-9xEnIfkk0JMKddVldabgJO-NWRPa5CFl4bHXGSw5m9pdMosmo7APuIAuud0X-ZBpo0ZCmBS53LjCm86MdBgmAaDkL6u91_P6hFdueot5T-61g-MzODc1aPpJitX8uaPivaPybOJcTVysiMEWoSCpYqULTt1SD4L1BMdnWgxao_eYvbykbqX0TEDh3S729PHZH5ygk85bIy1hwUN4RPqvFAVp-EHCPcr7u_ufBcbrd7UFOl1PQIMo0oZXlR4rnauHjZHIrhuhUIpOMF49Z6EEQp5xIxmY1h4mc4XMSVtS7yk_RR7amMG2B5-GUeq-8K_N9ZHUYSDV13GLPTOXgxYGVcWjAmLoaP7LEjh7DgYOizGth1NyRCqkesatIFVLLNbgHbZg7TBQEHrj66T_o163SHHYFm4vKhuFVgcXqO7prNcthHgeDmJjqW7WOAxGGQhuIwyouzsb_-JEA_U6NaCktifbPcri2uK_xGZmjm0TFUKAuO5YqI0GK3ZlHIrWugpTdm-vjERInguY8ACy1BFn2gd_GTvXo1jFrmdworvY3pRNCWgNEtV8gc7sfNl0UZ4sJxed6PtzyLK9OU5CIIyYynS3psp0uCrMPrC4EpFbxkxizRsldPuJSD_zxvLJOS_pfUSicrO76cZ6vJACfeL_zAbLLbzwxJuySBxoYYEomrvCMVyHTzM1-ebOa8UgeLa06MzwCIhSnoSc=", "id": "rs_0ad1a720f41dea8d016a032444b3c48191afa5e8adaabde208", "summary": []}], "tool_calls": [{"id": "call_J6y4CPRA8i8etjvzbjqBr80h", "call_id": "call_J6y4CPRA8i8etjvzbjqBr80h", "response_item_id": "fc_0ad1a720f41dea8d016a032451fcb081918bcb57a45cb1962d", "type": "function", "function": {"name": "skill_manage", "arguments": "{\"action\":\"patch\",\"name\":\"health-data-management\",\"old_string\":\"241 Laborwerte, 59 Dokumente (9 mit extrahiertem Volltext), 244 Events, 3 Medikamente.\\nMaster-Datenbank: `health_data.db` mit 12 Tabellen.\",\"new_string\":\"241 Laborwerte, 59 Dokumente (9 mit extrahiertem Volltext), 244 Events, 3 Medikamente.\\nMaster-Datenbank: `health_data.db` mit 14 Tabellen (inkl. `tagebuch` und `korrelationen`; plus SQLite-intern `sqlite_sequence`).\"}"}}], "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'health-data-management' (1 replacement).\"}", "tool_call_id": "call_J6y4CPRA8i8etjvzbjqBr80h", "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_R84TMkyXvZfRsJDZbYcZhREt", "call_id": "call_R84TMkyXvZfRsJDZbYcZhREt", "response_item_id": "fc_097ae47c2cb91d11016a03245a88848191b004b8213ab62241", "type": "function", "function": {"name": "skill_manage", "arguments": "{\"action\":\"patch\",\"name\":\"health-data-management\",\"new_string\":\"## Datenbank-Schema (14 Tabellen)\\n\\n1. **laborwerte** — 241 Laborwerte (aktuell, Stand Mai 2026)\\n2. **health_events** — 244 Events\\n3. **dokumente** — 59 Dokumente (Stand Mai 2026), mit CHECK constraints: `status IN ('neu','eingearbeitet','archiviert')`, `daten_typ IN ('pdf','image')`\\n4. **medikamente** — 3 Medikamente\\n5. **dokumente_status** — Status-Tracking\\n6. **symptome** — Symptom-Stammdaten\\n7. **symptom_log** — Symptom-Tagebuch\\n8. **vitalzeichen** — Blutdruck, Puls, Temperatur\\n9. **arztbesuche** — Arztbesuche\\n10. **ernaehrung** — Ernährungsdaten\\n11. **tagebuch** — universelle Tagebuch-/Gesundheitseinträge\\n12. **korrelationen** — Korrelationen/Analysen\\n13. **auswertungen** — Generierte Reports\\n14. **processing_log** — Verarbeitungsprotokoll\",\"old_string\":\"## Datenbank-Schema (12 Tabellen)\\n\\n1. **laborwerte** — 241 Laborwerte (aktuell, Stand Mai 2026)\\n2. **health_events** — 244 Events\\n3. **dokumente** — 59 Dokumente (Stand Mai 2026), mit CHECK constraints: `status IN ('neu','eingearbeitet','archiviert')`, `daten_typ IN ('pdf','image')`\\n4. **medikamente** — 3 Medikamente (Colchicine, Eliquis, Prednison)\\n5. **dokumente_status** — Status-Tracking (3 Einträge)\\n6. **symptome** — Symptom-Tracking (1 Eintrag)\\n7. **symptom_log** — Symptom-Tagebuch (0 Einträge)\\n8. **vitalzeichen** — Blutdruck, Puls, Temperatur (0 Einträge)\\n9. **arztbesuche** — Arztbesuche (1 Eintrag)\\n10. **ernaehrung** — Ernährungsdaten (5 Einträge)\\n11. **auswertungen** — Generierte Reports (0 Einträge)\\n12. **processing_log** — Verarbeitungsprotokoll\"}"}}], "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'health-data-management' (1 replacement).\"}", "tool_call_id": "call_R84TMkyXvZfRsJDZbYcZhREt", "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAyRvotRD6MN5M3sj65iREQ5NUlMLsGPvu-VTxsfXBq4lgT-eNkIoqOQQVEOBrIwIrVbx1FYFkjmlQgM6XCX35DYkZhNW6LwIoFTdMt-T3t5odugCt_Wvf1FiEZTC34KK152CDss7cwrI0qrac5cdCxHORXGyjjtofPeyg77D67PW5Wgr1xCLvJ-RpzuvAS0yeElj7DtotoJUDGN5MOOMbBlrzCTDKq08mLxK5HwT8EXeW3dbzQ5IWTQyenhApwQjatCzbhTmA0nUM7cxOd5mpmbk1U7DAMCrTBXrXLyMD_l8WpOk8sdp8uyU7AKrJOT_Ul-D5FIf8BfCb3jBSvDBUKmcjYoOD27mxm9neYAzI1Ra5OiyFnfhFBISQL6Wt_3AWK8XOHIflV0Y9gMG99t0GUXJo18UtDsd5qe_SAVACYmBarPpMVwoE7bryHUBaJtEzmrCqNzPwyiH8cp4foNW82TFpSBvsMrBVmhOwoTEdjsn-7nEM54Nwk3j2FZLV-tSOcPrD6Ytcsr-0WwuHgPVm_L54F0uOJ9pwub3gD1Yx2LJrWDdraRQGEB3ZlZTRib1V_HLTB0TVBny6r4kXMJUA5-Ec5Z8HXhFVU0FkIcA4CwIHltDBsg5oqTWO2RtAlFAn4oUh1bM0FTtBOq8AnplaYRpvvUntJ5MVfV2b4waiOggU0XkprzDRDjPGG4xboRtGlExMFAAciqcixrkXCziBbvrYgsSqgjkiB_EBgR6tc8b7mI_j007F_6Gt1blIvXwcNStX1qhSygN8mhOaGLdLXPerBmpfPCgrrmkRIKfBVbju83sp3j0ycX9ANEXe-fdPT3I2Z9pQruVPPAjYpBHk_I_4ag4ipPRJqbOzwFImHpudJ3GVinCbq-F2zcUNs67WhLXSIblvU_GjvyqXFJZCC4OnxomIAB4tUQekeYXk--t9CALOGmCPLvA45sHLXEfTuHF", "id": "rs_036e7c7b5a2ac48c016a03246ed7888191a21a33aed41cb875", "summary": []}], "tool_calls": [{"id": "call_O8Q7spaWlG1XBXVSJRPT3d3i", "call_id": "call_O8Q7spaWlG1XBXVSJRPT3d3i", "response_item_id": "fc_036e7c7b5a2ac48c016a03246fc2a08191af6b58e6f92997ad", "type": "function", "function": {"name": "skill_manage", "arguments": "{\"action\":\"patch\",\"name\":\"health-data-management\",\"new_string\":\"- **Laborbericht-Erstellung:** Skript `scripts/generate_labor_report.py` soll pivot-Tabellen aus XLSX-Referenzdaten/DB erstellen. Format: Spalten pro Blutabnahme, Zeilen pro Parameter, sortiert nach Kategorien. XLSX als primäre Datenquelle verwenden — `ermittlung_datum` in der DB ist OCR-/Importdatum, nicht tatsächliches Abnahmedatum. Aktueller Prüfstand 2026-05-12: `reports/aktuelle_blutwerte.xlsx` existiert und hat Datums-Spalten; das Skript selbst ist aber nicht zuverlässig, weil es aus `ermittlung_datum` liest, den Zeitanteil abschneidet und dadurch DB-Zeilen verfehlen kann; außerdem ist `cat_border` undefiniert. Vor produktiver Nutzung Script fixen und gegen Referenz-XLSX validieren.\",\"old_string\":\"- **Laborbericht-Erstellung:** Skript `scripts/generate_labor_report.py` erstellt pivot-Tabellen aus XLSX-Referenzdaten. Format: Spalten pro Blutabnahme, Zeilen pro Parameter, sortiert nach Kategorien. XLSX als primäre Datenquelle verwenden — `ermittlung_datum` in der DB ist OCR-Verarbeitungsdatum, nicht tatsächliches Abnahmedatum.\"}"}}], "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'health-data-management' (1 replacement).\"}", "tool_call_id": "call_O8Q7spaWlG1XBXVSJRPT3d3i", "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAySJPlOqUa7waxjpsASkfjGuSSxf0kqx59-1DhbtioIgt2USH4iHA4TKs1mn15eBoJLBJAaBP8k99Yk9HNcgDm8VCzPbDguJssPXrIqUY0lrIPWEXi05kijz2aC1lBuycNgPNBe-QmR7nTWKCdtkLiMIiPEin5h3tkeqO_gCT4Y4eDUFh909Qmu6LpAbdFg6Um1RTMmlwmb6S9JyYjoApj9nJoPfX3NWeRuoM4PwVc1jRMNXMawvl0HvTOeZb6P-5QCViEiNAbTN9bh_25NyMSZWQhK0Q84Hwa3N-WTBTgoQR6YeSuH39EXyxNO2dJjwZAJeSTTVrg2nN5EJ3fBwmRH13w73-9cYXwnhaVLEIpS51eV4wC6cidmQpJzuOC0DPJFRWGyRgq35tZbyTYBu_D2kQx8emtf_zDaRZLdRuGvLlmuGcQCFq0Mct88n_QbHSHgJQewa4peNJjDxqSqj7-wrphfCGtd4vnh9GyjPwEWYOvvOiUffCN1FQFth0D9_BJf1IyT7IfzTfwxMRilDrmqggpFy0mF-a1bpobrRhxa53brgvolWtCQliD2hYtNN5J1ckVzL-mDJl1abDS0-PR2p4eenraJiOQBK0QzPUbUN2eCfyjXYtYmsq0SM9BrCBONUgs5XseQFrKo28NzOmNRYKhnCBtYwuQyqTQkEksQaTmy8yOR1zGx-XYNqxMQPkEJrrV6XJM4sr1RLu0LgTM1AFA8aX9GKMP1KUviSb-eHKpEA5CmoPf9UoclSsamFx1HWiWcIkClc1FNs8rOyJjahMSqgtZV0b0PssoFY8XjxAeFhpuis7GLEEd1oEvsDC9fFm-NGQdafu6qeigKcoMEVVvpUsE_-u_y4VgWXYLJu-SWrK2SHYKto5L_x1UIte_wu7mpN8B2RgqvARGte4vP7oTHo2h26NOlXkEqg-kovR1To_1tLCd0X8dUxnwHHAZkOKP5REqEo4_luVtgZ41kggFR94n0jbTK1IizOD5gL-R-Menr8i-zP_YniGan0vYZV0Q6et-i_Ko2w-r4bYv3q1RNjl6SPZ9p53FaIbqbNRZSKLhZGy9UHXVAvLG-k77TqUmJRGrztFXLgTXYL-Q83KzXkVZaH5hf-xOHN7SKYgM6QQ-IM0tdJ_Y6bXnZYkqnXuYZfFtkxu_zNV6Y8aX9oasSHwv0ocEzCDe6wQDKjyjN-GN2k1CIB0nLDkUgqmqsfoWUbU6onyGUs637EQSbiPODZly1FaAH0bMZWUUlUVHcZSJ-sYUc5WJArh-0BZau3B2KRvh1bKvw27tW_woVL6KTPxrYszY1RbTUvbYGD39l0GGuxG-DIZd7BjHt7m9X4XCa4m4Rl9CRV0XrqoY1MMPiwAfpkMylgdpwBeg9Lh0GSeuNSFrrF-eOxIsd3kgO3QLku5HbiDEZjo3jhdy7282EKNExhA38mXLP8Bsh3DROHb4A2p3ZkVGidviTazU-CFAsZKW9l-LC5ZkDLxW4ycf2cHr9xzQY_cUISJN2c8KGv2lQEifmjRB3nvdhmVSlMHyz2BQ9f2sptpbNW6sFxOM3ns8_jRE9a_bbqzKhazG9n4n4aiaC3IMv9x-XeDlQTEZYq_QOBLVL1z1hez8pPjBWKuXqdlKVLbkWhSICYnMvn1sRP6rZvU8kQZbB5xr7Rs6XMf5xyoFJmHaRGfAfg675ikjJOQsomUpqlbVdH1ewv2Jy4LVvIg8YLyR4cSSZF2CL18j6lYcwNtt0V3Da61yJRCP5K-i7CeXBsBVxs5hDutQx6jN16HKBOaKIGJ1Ft11_BeeLvU57Xv55sjkC7bHTGwJfbKqAbXiOIK7dAlHtcUhlm7tzGzCIqOl_98B4Sb5Xx47_7YsR1L3IuApvLs_s6328rSLXHBPBzf-zm3_e-qmBqSe2zpXj7sQ6_Olg9jTceoAqun5pmknBQhWbSP5iQJHAXB0oPzdufb-HxPRLu1VrLeHEwHkH_P-LijupM--tJTlXgInbv2OjyoJWPRHVSu29MvOMIvCqez2Nzo1y3WWFI3hoeVoceG9UyxrE06gOOPtDvf7cBp-3cZ8_vrSJLw-90HIkkLV1zpUAslPfre-j3OUfqRF2WDJg0KRfOOhCWQwz6qsLhV9SE_U0DYOAD2tgCldq65Rgt-nwwYbYADw1BygqUFl-iJo323dbuc8haw23BWtE9yKW5agxbaiLykABLeP_wgRo7q7dYlgkjLQtIixCmh0gGxdYXYJBoqrDLrZERmiJkI-HOicO1TPFvRb4N_gN3ByjyFwSzm_RuDFdpi_qu18mrMTMCz6jReG6x56kZyCIp5g5tcRzLcA68KCHRcYeFlXLoEgUKrAJp7YMqxsFGoFAeeVvhtgmInWPTRNG5ovlYTNwmqUYdtRL6KbwmSyB490WQMx-KKfWgpHx2CKe6MsMC6QtwPvib25pXgbkz60nF4TyC4uUKEmZnQPVGgdnX77JixdBB4ZPl_LijcFSHIwxqFT-4Uel6onlqnYZaswYSPrsE-5iuRateDR6h5sV6ddrjEL8yOzG9pws4xlkCU7bIxII6w2SDV8k7QHMYJZZxpBsDSlHthXdTadd0LvKumuLnk2bUlDa-C9Aw3vUd54pQGFTwH41G9MHou-DSfNMYBPqZ4WKYytRxwdZwGIbO7vsI7DJz-NC6Ut-LxJeOXEpkiOraqD0k3Fv9__1-0p3D_A7yuHkQspsUz4h5VtQYkDuJS2fYuluLfr-0kq5cdhakC-kYCudSegFwYUreIuN94u-7FVByxodx2AGl5_Whm8ChvTMgZQ_SbhOdQt2f0sntD8_ZkJgwuviISuocuxjusKkqxrDYaFUUVITTuRLmzs6_gq-KbVv-0UKAXbmr4yakZloWk2hh-RzhD7TGYZiNnDGPzEUKfbUIS66ZWSQuuulD4VRa9o67be2DvQW-E1OZQaeCgLc2LDMaTzj7LWx7SwO-Lin6tb9dc5ihSqUZQ-ZPk4H8r5hZwm-xmah9d8a701iGiZyHiaT-Qc7LuMPu2A3d4OeP5N9t5TFbz5JyaMgwqTJTHNU5nxV6x_yFgvQtYwa65Fj2Va32jqjqTk9df2nBnu5AjPeUNxuiyNwtOWF-3N5j62fTrcGh85sIJGVrj_fD_jtLaRh9YrtyI2PaZha0Q18ozqhJ1AQgvrJKwODCtTdTCITFWRyEsJ5FWULurCIi_0_2bHW1rqvxIcvyw7N7b_eUBIyzRPrj1u4lzXVO3JP13SY=", "id": "rs_0e8839f992be2c9a016a03247b77ec8191a967bc4dbe015471", "summary": []}], "tool_calls": [{"id": "call_oE3prWIYK85tStW8Ylwyk5z0", "call_id": "call_oE3prWIYK85tStW8Ylwyk5z0", "response_item_id": "fc_0e8839f992be2c9a016a032489d4288191b8a127d72cb6358e", "type": "function", "function": {"name": "skill_manage", "arguments": "{\"action\":\"patch\",\"name\":\"health-data-management\",\"old_string\":\"Master-Datenbank: `health_data.db` mit 14 Tabellen (inkl. `tagebuch` und `korrelationen`; plus SQLite-intern `sqlite_sequence`).\",\"new_string\":\"Master-Datenbank: `health_data.db` mit 13 fachlichen Tabellen plus SQLite-intern `sqlite_sequence` (Stand Prüfung 2026-05-12); `processing_log` ist in der aktuellen DB nicht vorhanden.\"}"}}], "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'health-data-management' (1 replacement).\"}", "tool_call_id": "call_oE3prWIYK85tStW8Ylwyk5z0", "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_xlaqkYnxu45eWPj7xufSDEzN", "call_id": "call_xlaqkYnxu45eWPj7xufSDEzN", "response_item_id": "fc_0021824cf050cb86016a03248fa0bc8191890daafecca58831", "type": "function", "function": {"name": "skill_manage", "arguments": "{\"action\":\"patch\",\"name\":\"health-data-management\",\"new_string\":\"## Datenbank-Schema (13 fachliche Tabellen + `sqlite_sequence`)\\n\\n1. **laborwerte** — 241 Laborwerte (aktuell, Stand Mai 2026)\\n2. **health_events** — 244 Events\\n3. **dokumente** — 59 Dokumente (Stand Mai 2026), mit CHECK constraints: `status IN ('neu','eingearbeitet','archiviert')`, `daten_typ IN ('pdf','image')`\\n4. **medikamente** — 3 Medikamente\\n5. **dokumente_status** — Status-Tracking\\n6. **symptome** — Symptom-Stammdaten\\n7. **symptom_log** — Symptom-Tagebuch\\n8. **vitalzeichen** — Blutdruck, Puls, Temperatur\\n9. **arztbesuche** — Arztbesuche\\n10. **ernaehrung** — Ernährungsdaten\\n11. **tagebuch** — universelle Tagebuch-/Gesundheitseinträge\\n12. **korrelationen** — Korrelationen/Analysen\\n13. **auswertungen** — Generierte Reports\\n\\nHinweis: `sqlite_sequence` ist eine SQLite-interne Tabelle. `processing_log` existiert im aktuellen Schema nicht, obwohl ältere Notizen sie erwähnen.\",\"old_string\":\"## Datenbank-Schema (14 Tabellen)\\n\\n1. **laborwerte** — 241 Laborwerte (aktuell, Stand Mai 2026)\\n2. **health_events** — 244 Events\\n3. **dokumente** — 59 Dokumente (Stand Mai 2026), mit CHECK constraints: `status IN ('neu','eingearbeitet','archiviert')`, `daten_typ IN ('pdf','image')`\\n4. **medikamente** — 3 Medikamente\\n5. **dokumente_status** — Status-Tracking\\n6. **symptome** — Symptom-Stammdaten\\n7. **symptom_log** — Symptom-Tagebuch\\n8. **vitalzeichen** — Blutdruck, Puls, Temperatur\\n9. **arztbesuche** — Arztbesuche\\n10. **ernaehrung** — Ernährungsdaten\\n11. **tagebuch** — universelle Tagebuch-/Gesundheitseinträge\\n12. **korrelationen** — Korrelationen/Analysen\\n13. **auswertungen** — Generierte Reports\\n14. **processing_log** — Verarbeitungsprotokoll\"}"}}], "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'health-data-management' (1 replacement).\"}", "tool_call_id": "call_xlaqkYnxu45eWPj7xufSDEzN", "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "assistant", "content": "Nein, Sir — **komplett umgesetzt ist es nicht**. Ich habe soeben live den aktuellen Stand geprüft, nicht aus der Erinnerung heraus. Das Ergebnis ist ziemlich eindeutig: Der Vorschlag wurde **teilweise vorbereitet**, aber **nicht vollständig ausgeführt**. Klassischer Fall von „das Schloss ist geplant, aber die Zugbrücke liegt noch im Gras“.  \n\n## Kurzantwort\n\n- **Alle Dokumente überprüft?** Nein.\n- **Docling-Reprocessing aller 59 Dokumente erledigt?** Nein.\n- **Volltext-Suchbarkeit verbessert?** Nein — Stand ist weiterhin praktisch wie zuvor.\n- **Laborwerte-XLSX angekommen/lokal vorhanden?** Ja.\n- **Bericht „aktuelle Blutwerte“ existiert?** Ja.\n- **Skript dafür ist produktionsreif?** Nein, es hat erkennbare Schwächen/Bugs.\n- **Datenbank und Ablagesystem existieren und sind nutzbar?** Ja, aber Optimierung nötig.\n\n## Verifizierter aktueller Stand\n\nPfad:\n\n`/home/agent/.hermes/assets/Gesundheit/`\n\nDatenbank:\n\n`/home/agent/.hermes/assets/Gesundheit/health_data.db`\n\nAktuelle Inhalte:\n\n- **Dokumente:** 59\n- **Laborwerte:** 241\n- **Health Events:** 244\n- **Medikamente:** 3\n- **Arztbesuche:** 1\n- **Ernährungseinträge:** 5\n- **Tagebuch-Einträge:** 5\n- **Korrelationen:** 0\n- **Auswertungen:** 0\n\n## Dokumentenstatus\n\nAktueller DB-Stand:\n\n- **archiviert:** 11 Dokumente\n  - mit Volltext: 0\n- **eingearbeitet:** 29 Dokumente\n  - mit Volltext: 8\n- **neu:** 19 Dokumente\n  - mit Volltext: 1\n\nGesamt:\n\n- **59 Dokumente**\n- **9 mit extrahiertem Volltext**\n- **50 ohne extrahierten Volltext**\n\nDas bedeutet: **Die zentrale Docling-Nachbearbeitung wurde nicht abgeschlossen.**  \nDer Stand entspricht im Wesentlichen weiterhin der Problemanalyse aus dem alten Gespräch.\n\n## Nach Kategorie\n\n- **BEFUNDE:** 22 Dokumente\n  - mit Volltext: 3\n- **LABOR:** 19 Dokumente\n  - mit Volltext: 0\n- **SONSTIGES:** 17 Dokumente\n  - mit Volltext: 5\n- **laborbericht:** 1 Dokument\n  - mit Volltext: 1\n\nBesonders auffällig: **Die LABOR-Dokumente haben praktisch keinen Volltext in `extrahierte_inhalte`**, obwohl genau diese für spätere Nachvollziehbarkeit und Validierung wichtig wären.\n\n## Laborwerte-XLSX\n\nDie von dir erwähnte XLSX ist lokal vorhanden:\n\n- `/home/agent/.hermes/assets/Gesundheit/attachments/Laborwerte_Uebersicht_2021-2025.xlsx`\n- `/home/agent/.hermes/assets/Gesundheit/inbox/260510_Laborwerte_Uebersicht.xlsx`\n- Backup ebenfalls vorhanden unter:\n  - `/home/agent/.hermes/assets/Gesundheit/backup_original/attachments/Laborwerte_Uebersicht_2021-2025.xlsx`\n\nDas ist gut: Diese Datei kann als **Referenz / Single Source of Truth** für die Laborwerte dienen.\n\n## Bericht „aktuelle Blutwerte“\n\nDer Bericht existiert:\n\n`/home/agent/.hermes/assets/Gesundheit/reports/aktuelle_blutwerte.xlsx`\n\nEr enthält tatsächlich das gewünschte Format:\n\n- eine Zeile pro Laborparameter\n- Spalten pro Datum, z.B.:\n  - `2025-09-20`\n  - `2025-12-29`\n  - `2026-01-28`\n  - `2026-03-06`\n  - `2026-05-07`\n\nDas ist grundsätzlich in deinem gewünschten Stil.\n\n## Aber: Das Skript ist nicht sauber\n\nDas Skript existiert hier:\n\n`/home/agent/.hermes/assets/Gesundheit/scripts/generate_labor_report.py`\n\nGeprüfter Stand:\n\n- zuletzt geändert: `2026-05-12 09:14:06`\n- Output-Datei: `reports/aktuelle_blutwerte.xlsx`\n\nProbleme:\n\n1. **Es liest aktuell aus `ermittlung_datum` der DB.**  \n   Dieses Feld enthält aber offenbar das Import-/Verarbeitungsdatum, nicht zwingend das tatsächliche Blutabnahmedatum.\n\n2. **In der DB haben alle 241 Laborwerte aktuell dasselbe `ermittlung_datum`:**  \n   `2026-05-10 12:15:58`\n\n   Das ist für einen Zeitreihenbericht offensichtlich nicht korrekt.\n\n3. **Das Skript schneidet den Zeitanteil ab und sucht danach mit exaktem Datum.**  \n   Dadurch kann es DB-Zeilen verfehlen.\n\n4. **Es enthält einen Bug:**  \n   `cat_border` wird verwendet, aber nicht definiert.\n\n5. Der vorhandene XLSX-Report sieht besser aus als das aktuelle Skript erwarten lässt.  \n   Das deutet darauf hin, dass der Report entweder mit einer älteren/besseren Skriptversion oder direkt aus der Referenz-XLSX erzeugt wurde.\n\nFazit: **Der Bericht existiert, aber das Skript muss korrigiert werden, bevor ich es als verlässlich bezeichnen würde.**\n\n## Systemaufbau aktuell\n\nAktuell besteht das Gesundheitsmanagement-System aus:\n\n- **Master-Datenbank**\n  - `health_data.db`\n  - enthält Dokumente, Laborwerte, Events, Medikamente, Symptome, Ernährung, Tagebuch etc.\n\n- **Inbox**\n  - neue Dateien/Dokumente\n  - `~/.hermes/assets/Gesundheit/inbox/`\n\n- **Archiv**\n  - strukturierte Ablage nach Kategorien\n  - Laborberichte\n  - klinische Befunde\n  - sonstige Dokumente\n\n- **Reports**\n  - Dashboards\n  - Profiling-Reports\n  - aktueller Blutwerte-Bericht\n\n- **Scripts**\n  - `health_manager.py`\n  - `generate_labor_report.py`\n  - `health_watchdog.py`\n  - `verify_system.py`\n  - weitere Import-/Analyse-Skripte\n\n- **Referenzdaten**\n  - deine manuell gepflegte Laborwerte-XLSX\n  - aktuell der wichtigste Korrekturanker für Laborwerte\n\n## Meine empfohlene weitere Vorgehensweise\n\n### Phase 0 — Sicherung\n\nVor jeder Korrektur:\n\n- Backup von `health_data.db`\n- Backup von `reports/aktuelle_blutwerte.xlsx`\n- Snapshot der aktuellen Dokumentenliste\n\n### Phase 1 — Datenbank bereinigen\n\n- Dokumentpfade normalisieren\n- Duplikate identifizieren\n- Dubletten wie wiederholte Chemie-/Rheumatologie-Einträge prüfen\n- `processing_log` entweder sauber anlegen oder aus Workflow entfernen\n- Kategorien vereinheitlichen:\n  - `LABOR`\n  - `BEFUNDE`\n  - `SONSTIGES`\n  - keine Mischformen wie `laborbericht`\n\n### Phase 2 — Docling-Reprocessing\n\nPriorität:\n\n1. **19 Status `neu`**\n2. **21 eingearbeitete Dokumente ohne Volltext**\n3. **11 archivierte Dokumente ohne Volltext**\n\nZiel:\n\n- jedes Dokument bekommt `extrahierte_inhalte`\n- jedes Dokument bekommt prüfbare Metadaten:\n  - Dokumentdatum\n  - Quelle/Institution\n  - Kategorie\n  - Dokumenttyp\n  - Verarbeitungsmethode\n  - Qualitätsstatus\n\n### Phase 3 — Laborwerte nicht blind aus OCR übernehmen\n\nFür Laborwerte würde ich nicht Docling/OCR als finale Wahrheit nehmen.\n\nBesser:\n\n- Referenz-XLSX als **Gold Standard**\n- OCR/Docling als **Dokumentennachweis**\n- DB-Werte gegen XLSX validieren\n- Unterschiede reporten:\n  - fehlende Werte\n  - abweichende Werte\n  - abweichende Einheiten\n  - unbekannte Parameter\n  - unklare Datumszuordnung\n\n### Phase 4 — Laborwerte-Datenmodell verbessern\n\nAktuelles Problem:\n\n`ermittlung_datum` ist offenbar Importdatum, nicht Laboruntersuchungsdatum.\n\nIch würde ergänzen bzw. sauber trennen:\n\n- `abnahme_datum`\n- `befund_datum`\n- `import_datum`\n- `quelle_dokument_id`\n- `quelle_xlsx`\n- `validierungsstatus`\n- `wert_original`\n- `wert_normalisiert`\n\n### Phase 5 — Bericht „aktuelle Blutwerte“ neu bauen\n\nDas Skript sollte:\n\n- primär aus der validierten Laborwerte-Tabelle lesen\n- echte Untersuchungsdaten verwenden\n- eine Spalte pro Datum erzeugen\n- eine Zeile pro Parameter\n- Kategorien wie in deiner XLSX beibehalten\n- Einheiten stabil darstellen\n- Referenzbereiche optional anzeigen\n- auffällige Werte farblich markieren\n- XLSX und optional PDF erzeugen\n\n### Phase 6 — Qualitätssicherung\n\nNach Abschluss:\n\n- Anzahl Dokumente ohne Volltext muss 0 oder begründet sein\n- Laborwerte aus DB müssen gegen XLSX validiert sein\n- Bericht muss reproduzierbar durch Skript erzeugbar sein\n- Suchtest über Arztberichte muss funktionieren\n- Deduplikationsbericht muss vorliegen\n\n## Wichtigste Feststellung\n\n**Nein, der Vorschlag wurde noch nicht komplett umgesetzt.**  \nDer aktuelle Stand zeigt klar:\n\n- Die Dokumente wurden **nicht vollständig mit Docling nachbearbeitet**.\n- Die Datenbank enthält weiterhin **nur 9/59 Dokumente mit Volltext**.\n- Der Laborbericht existiert, aber das zugehörige Skript ist **noch nicht zuverlässig genug**.\n- Die von dir gesendete Laborwerte-XLSX ist vorhanden und sollte als Referenz genutzt werden.\n\nIch habe außerdem die interne Health-Management-Skill-Dokumentation korrigiert, weil sie beim Datenbankschema veraltet war.", "reasoning": null, "finish_reason": "stop", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAySnTo5d4MctcwmBjWT37dIS0nTgIV7bl2Y7vm-H4hb_Jxd1-3yhMROr3UeGqbpHQFDi00nk1_JaP210xjegZqcDsQraZCPEje8qMja8HloH-dIKR0hOKNPE81TUTzzITreY7Qmq2wF-VXWw1f2M37_nMrhTKTSQwhI11c3gbyIjflh46SR3lFJvrq1XVY3MtLSDkzwJXoUiKbPFFSjQ2WnUpegllmYD6Zij0A-n4tzUZhbsBMsQqjivQ1dSDUG6KqaLJbgvzCzsyp7msl6WlaEfCe4cDKmkwwi66zl-iUkZ9u-w7gVoXqq4EegiiGe2Lpiba-_aCk40tyb8mEQdzG68WrFZ2vcrbf5KCpageSrVZvfhZeDX9AIGAZLgQ_gvtM3Dd9DpNENyx2kQnDr1EgAM0zrwacDurMGQZ2nQJci_CtGkZvWdBuqoCIg4eCOOjmSR_d0bnAzgBgpju8U6MCbq3A6d3syZ5vUL-EyjnNfKxmF9TaNrdWM7HQiIIPfjcdpXAxo5xvCYffBSceCUxetxdbYPkYSV3DKmRdBHHiwzeXk-I_-c_F4YEmSSWQsy6gJhMU72RNVrLE2eAFZxvzhCoWH1GmFJrJqyB6z7sNRESZceXKWfStqTE3qDnaxbh1dTblGaUpp1BEEtj1ChCEvM68BaNrS8PDPWQDUt_coVQ7XDowjiL8BnrT_46h_Bp5fyZk8sVffBIA5T5DGiRFdjIV3B0aKqdH6uOXnOJcZE9QQgxsZAksCMrNQiWh11tp3cgf4FTF01Gb1IxPi-2X7pRjDiZDBndLGRkTrSU8yEgeQ30zCHhDMXRraH4Xt992vzgdhkR6WBlP5nMSrmopI72OPfPgGTUFsQi_TOC6lKBd6e0RzY-_JMOdOmh8G4dqbB0S-ucHoKmOZjJW9SftxDpkmLpE6TS0er8UPT0BTmE3f-6REk8oOm7wapH_T85R8HZS8LrzzgZXDGDfkRrm2ULGyr_jDiBcC4TlgbFCECmLQPMS14Bjl-NSe5ZEe9daXXYNPOussQBui7P_xr6b3j-PGcWIROOo1uGM3VTeASCMc9Uel4BdD5FlT8yph9-fO6mgjgm5_P2gdEf1NVHNNcHWarFfkXVMbIiuirCOp8ze05sEpvk496B1deeG1VvvcIvJD0Oo4CThc2esjNgzINKlrS-qNEFtFws7zwYgsKlBgjzsr-9IO3G0v23fzncOs8fJ8kWLPhIUaVCaYEdZ8QvBhLeYW9-W3AA0We4xkqeXYhTHG4Vwrb3hFVQeiKQ7vo", "id": "rs_00fd30f0704b55ab016a0324a506988191b602652e8895646f", "summary": []}], "codex_message_items": [{"type": "message", "role": "assistant", "status": "completed", "content": [{"type": "output_text", "text": "Nein, Sir — **komplett umgesetzt ist es nicht**. Ich habe soeben live den aktuellen Stand geprüft, nicht aus der Erinnerung heraus. Das Ergebnis ist ziemlich eindeutig: Der Vorschlag wurde **teilweise vorbereitet**, aber **nicht vollständig ausgeführt**. Klassischer Fall von „das Schloss ist geplant, aber die Zugbrücke liegt noch im Gras“.  \n\n## Kurzantwort\n\n- **Alle Dokumente überprüft?** Nein.\n- **Docling-Reprocessing aller 59 Dokumente erledigt?** Nein.\n- **Volltext-Suchbarkeit verbessert?** Nein — Stand ist weiterhin praktisch wie zuvor.\n- **Laborwerte-XLSX angekommen/lokal vorhanden?** Ja.\n- **Bericht „aktuelle Blutwerte“ existiert?** Ja.\n- **Skript dafür ist produktionsreif?** Nein, es hat erkennbare Schwächen/Bugs.\n- **Datenbank und Ablagesystem existieren und sind nutzbar?** Ja, aber Optimierung nötig.\n\n## Verifizierter aktueller Stand\n\nPfad:\n\n`/home/agent/.hermes/assets/Gesundheit/`\n\nDatenbank:\n\n`/home/agent/.hermes/assets/Gesundheit/health_data.db`\n\nAktuelle Inhalte:\n\n- **Dokumente:** 59\n- **Laborwerte:** 241\n- **Health Events:** 244\n- **Medikamente:** 3\n- **Arztbesuche:** 1\n- **Ernährungseinträge:** 5\n- **Tagebuch-Einträge:** 5\n- **Korrelationen:** 0\n- **Auswertungen:** 0\n\n## Dokumentenstatus\n\nAktueller DB-Stand:\n\n- **archiviert:** 11 Dokumente\n  - mit Volltext: 0\n- **eingearbeitet:** 29 Dokumente\n  - mit Volltext: 8\n- **neu:** 19 Dokumente\n  - mit Volltext: 1\n\nGesamt:\n\n- **59 Dokumente**\n- **9 mit extrahiertem Volltext**\n- **50 ohne extrahierten Volltext**\n\nDas bedeutet: **Die zentrale Docling-Nachbearbeitung wurde nicht abgeschlossen.**  \nDer Stand entspricht im Wesentlichen weiterhin der Problemanalyse aus dem alten Gespräch.\n\n## Nach Kategorie\n\n- **BEFUNDE:** 22 Dokumente\n  - mit Volltext: 3\n- **LABOR:** 19 Dokumente\n  - mit Volltext: 0\n- **SONSTIGES:** 17 Dokumente\n  - mit Volltext: 5\n- **laborbericht:** 1 Dokument\n  - mit Volltext: 1\n\nBesonders auffällig: **Die LABOR-Dokumente haben praktisch keinen Volltext in `extrahierte_inhalte`**, obwohl genau diese für spätere Nachvollziehbarkeit und Validierung wichtig wären.\n\n## Laborwerte-XLSX\n\nDie von dir erwähnte XLSX ist lokal vorhanden:\n\n- `/home/agent/.hermes/assets/Gesundheit/attachments/Laborwerte_Uebersicht_2021-2025.xlsx`\n- `/home/agent/.hermes/assets/Gesundheit/inbox/260510_Laborwerte_Uebersicht.xlsx`\n- Backup ebenfalls vorhanden unter:\n  - `/home/agent/.hermes/assets/Gesundheit/backup_original/attachments/Laborwerte_Uebersicht_2021-2025.xlsx`\n\nDas ist gut: Diese Datei kann als **Referenz / Single Source of Truth** für die Laborwerte dienen.\n\n## Bericht „aktuelle Blutwerte“\n\nDer Bericht existiert:\n\n`/home/agent/.hermes/assets/Gesundheit/reports/aktuelle_blutwerte.xlsx`\n\nEr enthält tatsächlich das gewünschte Format:\n\n- eine Zeile pro Laborparameter\n- Spalten pro Datum, z.B.:\n  - `2025-09-20`\n  - `2025-12-29`\n  - `2026-01-28`\n  - `2026-03-06`\n  - `2026-05-07`\n\nDas ist grundsätzlich in deinem gewünschten Stil.\n\n## Aber: Das Skript ist nicht sauber\n\nDas Skript existiert hier:\n\n`/home/agent/.hermes/assets/Gesundheit/scripts/generate_labor_report.py`\n\nGeprüfter Stand:\n\n- zuletzt geändert: `2026-05-12 09:14:06`\n- Output-Datei: `reports/aktuelle_blutwerte.xlsx`\n\nProbleme:\n\n1. **Es liest aktuell aus `ermittlung_datum` der DB.**  \n   Dieses Feld enthält aber offenbar das Import-/Verarbeitungsdatum, nicht zwingend das tatsächliche Blutabnahmedatum.\n\n2. **In der DB haben alle 241 Laborwerte aktuell dasselbe `ermittlung_datum`:**  \n   `2026-05-10 12:15:58`\n\n   Das ist für einen Zeitreihenbericht offensichtlich nicht korrekt.\n\n3. **Das Skript schneidet den Zeitanteil ab und sucht danach mit exaktem Datum.**  \n   Dadurch kann es DB-Zeilen verfehlen.\n\n4. **Es enthält einen Bug:**  \n   `cat_border` wird verwendet, aber nicht definiert.\n\n5. Der vorhandene XLSX-Report sieht besser aus als das aktuelle Skript erwarten lässt.  \n   Das deutet darauf hin, dass der Report entweder mit einer älteren/besseren Skriptversion oder direkt aus der Referenz-XLSX erzeugt wurde.\n\nFazit: **Der Bericht existiert, aber das Skript muss korrigiert werden, bevor ich es als verlässlich bezeichnen würde.**\n\n## Systemaufbau aktuell\n\nAktuell besteht das Gesundheitsmanagement-System aus:\n\n- **Master-Datenbank**\n  - `health_data.db`\n  - enthält Dokumente, Laborwerte, Events, Medikamente, Symptome, Ernährung, Tagebuch etc.\n\n- **Inbox**\n  - neue Dateien/Dokumente\n  - `~/.hermes/assets/Gesundheit/inbox/`\n\n- **Archiv**\n  - strukturierte Ablage nach Kategorien\n  - Laborberichte\n  - klinische Befunde\n  - sonstige Dokumente\n\n- **Reports**\n  - Dashboards\n  - Profiling-Reports\n  - aktueller Blutwerte-Bericht\n\n- **Scripts**\n  - `health_manager.py`\n  - `generate_labor_report.py`\n  - `health_watchdog.py`\n  - `verify_system.py`\n  - weitere Import-/Analyse-Skripte\n\n- **Referenzdaten**\n  - deine manuell gepflegte Laborwerte-XLSX\n  - aktuell der wichtigste Korrekturanker für Laborwerte\n\n## Meine empfohlene weitere Vorgehensweise\n\n### Phase 0 — Sicherung\n\nVor jeder Korrektur:\n\n- Backup von `health_data.db`\n- Backup von `reports/aktuelle_blutwerte.xlsx`\n- Snapshot der aktuellen Dokumentenliste\n\n### Phase 1 — Datenbank bereinigen\n\n- Dokumentpfade normalisieren\n- Duplikate identifizieren\n- Dubletten wie wiederholte Chemie-/Rheumatologie-Einträge prüfen\n- `processing_log` entweder sauber anlegen oder aus Workflow entfernen\n- Kategorien vereinheitlichen:\n  - `LABOR`\n  - `BEFUNDE`\n  - `SONSTIGES`\n  - keine Mischformen wie `laborbericht`\n\n### Phase 2 — Docling-Reprocessing\n\nPriorität:\n\n1. **19 Status `neu`**\n2. **21 eingearbeitete Dokumente ohne Volltext**\n3. **11 archivierte Dokumente ohne Volltext**\n\nZiel:\n\n- jedes Dokument bekommt `extrahierte_inhalte`\n- jedes Dokument bekommt prüfbare Metadaten:\n  - Dokumentdatum\n  - Quelle/Institution\n  - Kategorie\n  - Dokumenttyp\n  - Verarbeitungsmethode\n  - Qualitätsstatus\n\n### Phase 3 — Laborwerte nicht blind aus OCR übernehmen\n\nFür Laborwerte würde ich nicht Docling/OCR als finale Wahrheit nehmen.\n\nBesser:\n\n- Referenz-XLSX als **Gold Standard**\n- OCR/Docling als **Dokumentennachweis**\n- DB-Werte gegen XLSX validieren\n- Unterschiede reporten:\n  - fehlende Werte\n  - abweichende Werte\n  - abweichende Einheiten\n  - unbekannte Parameter\n  - unklare Datumszuordnung\n\n### Phase 4 — Laborwerte-Datenmodell verbessern\n\nAktuelles Problem:\n\n`ermittlung_datum` ist offenbar Importdatum, nicht Laboruntersuchungsdatum.\n\nIch würde ergänzen bzw. sauber trennen:\n\n- `abnahme_datum`\n- `befund_datum`\n- `import_datum`\n- `quelle_dokument_id`\n- `quelle_xlsx`\n- `validierungsstatus`\n- `wert_original`\n- `wert_normalisiert`\n\n### Phase 5 — Bericht „aktuelle Blutwerte“ neu bauen\n\nDas Skript sollte:\n\n- primär aus der validierten Laborwerte-Tabelle lesen\n- echte Untersuchungsdaten verwenden\n- eine Spalte pro Datum erzeugen\n- eine Zeile pro Parameter\n- Kategorien wie in deiner XLSX beibehalten\n- Einheiten stabil darstellen\n- Referenzbereiche optional anzeigen\n- auffällige Werte farblich markieren\n- XLSX und optional PDF erzeugen\n\n### Phase 6 — Qualitätssicherung\n\nNach Abschluss:\n\n- Anzahl Dokumente ohne Volltext muss 0 oder begründet sein\n- Laborwerte aus DB müssen gegen XLSX validiert sein\n- Bericht muss reproduzierbar durch Skript erzeugbar sein\n- Suchtest über Arztberichte muss funktionieren\n- Deduplikationsbericht muss vorliegen\n\n## Wichtigste Feststellung\n\n**Nein, der Vorschlag wurde noch nicht komplett umgesetzt.**  \nDer aktuelle Stand zeigt klar:\n\n- Die Dokumente wurden **nicht vollständig mit Docling nachbearbeitet**.\n- Die Datenbank enthält weiterhin **nur 9/59 Dokumente mit Volltext**.\n- Der Laborbericht existiert, aber das zugehörige Skript ist **noch nicht zuverlässig genug**.\n- Die von dir gesendete Laborwerte-XLSX ist vorhanden und sollte als Referenz genutzt werden.\n\nIch habe außerdem die interne Health-Management-Skill-Dokumentation korrigiert, weil sie beim Datenbankschema veraltet war."}], "id": "msg_00fd30f0704b55ab016a0324a7c71c8191a344edb7dcfa17b8", "phase": "final_answer"}], "timestamp": "2026-05-12T15:02:45.332313"}
{"role": "user", "content": "ok, danke für deine Analyse. ich finde dein Vorgehen gut. wie sieht es hinsichtlich Auswertung der daten, erkennen von korrelationen usw. aus? aktuell ist ja auch eingerichtet dass über die YAZIO-API die Ernährungsdaten ausgelesen werden und übe reinen automatischen E-Mail flow meine Gesundheitsdaten jeden abend an deine Emailadresse gesendet werden. wie machen wir die erfassten infos und erkenntnisse für mich als nutzer sichtbar? ein Dashboard? automatisierte Berichterstellungen? Verinnerliche deine Rolle als mein umfassender Gesundheitsberater und stelle sicher dass du keine Informationen vergisst. Meine idee wäre es zudem, dass ich dir zukünftig Laborberichte und  Untersuchungsberichte per Email an friday.uplink@gmail.com oder per telegram sende, oder in der google Drive Inbox ablege und du diese dann ausliest und in die tabelle und datenbank überträgst. du gibst mir dann jeweils bescheid wenn du die infos extrahiert und verarbeitet hast, dann schaue ich in diese tabelle rein, welche du in einem separaten dafür vorgesehenen Korrex-Ordner auf google drive ablegst und überprüfe kurz (4-augen-prinzip) ob alle Blutwerte korrekt ausgelesen wurden und korrigiere diese gegebenenfalls. ich gebe dir danach bescheid dass du korrekturen daraus dann gegebenenfalls auslesen kannst. was denkst du?", "timestamp": "2026-05-12T15:22:24.277321"}
{"role": "assistant", "content": "", "reasoning": "**Referencing tools and languages**\n\nIt looks like I need to respond in German and possibly save some memory for the user while considering their role. I might need to load different tools like Yazio, Google Workspace, and Todoist. I notice that health-related information is already loaded, but I should also scan for skills related to health management as well as the other tools. Let's get everything in place!", "finish_reason": "tool_calls", "reasoning_content": "**Referencing tools and languages**\n\nIt looks like I need to respond in German and possibly save some memory for the user while considering their role. I might need to load different tools like Yazio, Google Workspace, and Todoist. I notice that health-related information is already loaded, but I should also scan for skills related to health management as well as the other tools. Let's get everything in place!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAyjqCeL4cL-Kn7KJljAHxeDt4aVdQGGLg66GnYjCa3hnSRqK8h06VlkaR_LUDDgAsPsjckf9kM3ascaw72Xk4FZPkWamEQx-jF76gOh0IJO7Lbgtb72xDIluGlQu_T8Ve9ohcHn7CLwSLxrsvg06DOGbOlmQrqM89tCjSbacDGI9LFSpkdYy7QSO9qJ803O1P69E-18Mc7jsACDtzkgwRYFB0rAT_d7NAejjHtA8Dm2Q2gWRXZ9aWNVxFlI1BNLMw628oQ30LDyDMh874tpt76b2rQ9EV8Uhf0IxP0AXWlTM4lvgMfEZYomvIvLqVZWwODYdr8TJv3weTwvlIVinu98PxgUi-yXIoAEQWIxGCExWqzNUnd5XRsVlyHPGtxaWT5dQIIb0K4TtLJbzB2DgvJ1UPrIIIM5JPMHdFX--NvY0EApQrZMuz003JDHWm0Ar0CtenPgKd8H4U0SexafopXdwwrQj1eWNY4fl41atbUjfVaRIPJeyiZKhl85VSqtnkoHX44AuZKhYnJzo388l6rdoCv5SWvxooO0fqKIUr2SRSceJojXORydw2aoCW7FlI7wDGt9duV0vYqZ1s5DIWueZpMOGwRMHgJ6iKs9WrDLa2vGBwg5EKvw31MoOxMSotz2qU-sjuWsyUdIAOok5KGASblCciGafm479IaEFKNtTKt-9cj3GxPxp6kI5RZDzaFjP5s-5nJWGoOZHGw9UKRt4SMwsur09wAy3laBhVHpxN0nIYqk8yglM-pmfkMzut5HsQZU9JocrpMovtc1S3dyLXYzYSpjbUMLlaftbqExTe7qKXYdkHje5YM1XJnTEosegvqPsDS9ZE_RIYoBoO9i0aV22mpqi7rL_mgrusf0M18Tepgzxp49v95FmBY8zUWJ1jh_W-_GUulcxk1xqp8NL1UcRbTZN5OdtIc3kI0exA-fumns3Ra_1na61W61R9_ZV8Vv5fqbmgzDXwYCCaBslEQMo413J6L5mJWge93ELyuIoB2igPf8PKg6i3bsUY4NLqgjdizSjZlfJ9nc6n-sb0RQpR3ToQxcHwj2-r3lWsk3s5MKsF0RP7eQvX4dxewa5C9Dr-xosRykV_1OdbLX_8AdLW0_X846BnmN1NnHDoIDlKNwWfBsWkHGV5yecyIY7rkQeXeOadvmh0zAxHH58cXZ8T3S0ZyBsTeVJrFUoj9fLoEsQ9FNxRK5ei29KN2g9VJwOoz7H5h6pvOA7MVlf8KzSeK1fNybtTl-solV32h_UZvwBVl6jTF3XtE7pcwug", "id": "rs_0a2a56f0a5adc698016a0328e61ae08191bcf1172153a10ee3", "summary": [{"type": "summary_text", "text": "**Referencing tools and languages**\n\nIt looks like I need to respond in German and possibly save some memory for the user while considering their role. I might need to load different tools like Yazio, Google Workspace, and Todoist. I notice that health-related information is already loaded, but I should also scan for skills related to health management as well as the other tools. Let's get everything in place!"}]}], "tool_calls": [{"id": "call_A7fwPmFwPCx0PkYkMMPUh5Jk", "call_id": "call_A7fwPmFwPCx0PkYkMMPUh5Jk", "response_item_id": "fc_0a2a56f0a5adc698016a0328eaad888191b013e5d923f14c49", "type": "function", "function": {"name": "skill_view", "arguments": "{\"name\":\"yazio-integration\"}"}}], "timestamp": "2026-05-12T15:22:24.277321"}
{"role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"yazio-integration\", \"description\": \"Access YAZIO API to retrieve logged meals and nutrition data for health correlation analysis.\", \"tags\": [], \"related_skills\": [], \"content\": \"---\\nname: yazio-integration\\ndescription: \\\"Access YAZIO API to retrieve logged meals and nutrition data for health correlation analysis.\\\"\\nversion: 1.0.0\\nauthor: Hermes Agent\\ncategory: health\\n---\\n\\n# YAZIO API Integration\\n\\n## Overview\\nYAZIO uses an undocumented REST API at `https://yzapi.yazio.com/v15`. This skill provides the protocol for authenticating and retrieving nutrition data.\\n\\n## API Base URL\\n```\\nhttps://yzapi.yazio.com/v15\\n```\\n\\n## Authentication\\n\\n### OAuth Token\\n```\\nPOST /oauth/token\\nContent-Type: application/json\\n\\n{\\n  \\\"client_id\\\": \\\"1_4hiybetvfksgw40o0sog4s884kwc840wwso8go4k8c04goo4c\\\",\\n  \\\"client_secret\\\": \\\"6rok2m65xuskgkgogw40wkkk8sw0osg84s8cggsc4woos4s8o\\\",\\n  \\\"username\\\": \\\"<email>\\\",\\n  \\\"password\\\": \\\"<password>\\\",\\n  \\\"grant_type\\\": \\\"password\\\"\\n}\\n```\\n\\nResponse contains `access_token` and `expires_in` (seconds). Cache the token — it persists across requests until expired.\\n\\n### Credentials Storage\\nStore YAZIO credentials in `~/.config/yazio/credentials.json`:\\n```json\\n{\\n  \\\"email\\\": \\\"user@example.com\\\",\\n  \\\"password\\\": \\\"...\\\"\\n}\\n```\\n\\n## Endpoints\\n\\n### Get Consumed Items (Diary)\\n```\\nGET /user/consumed-items?date=YYYY-MM-DD\\nAuthorization: Bearer <token>\\n```\\n\\nReturns:\\n- `products[]` — logged food items with `product_id`, `amount`, `serving`, `daytime` (breakfast/lunch/dinner/snack), `date`\\n- `recipe_portions[]` — custom recipes\\n- `simple_products[]` — simple/manual entries\\n\\nEach product has: `id`, `product_id`, `amount` (grams), `serving` (string), `serving_quantity` (grams), `daytime`, `type`\\n\\n### Get Product Details\\n```\\nGET /products/{product_id}\\nAuthorization: Bearer <token>\\n```\\n\\nReturns full product details: `name`, `category`, `producer`, `nutrients` (all vitamins, minerals, macros per 1g), `servings`, `base_unit`, `is_verified`, `language`, `countries`.\\n\\n**Important:** Consumed items return `product_id` but NOT the product name. Must call this endpoint to get the name and full nutrient data. Nutrients are per 1g — multiply by `amount` for actual values.\\n\\n### Search Products\\n```\\nGET /products/search?query=...&sex=male&countries=DE,US&locales=en_US,de_US\\nAuthorization: Bearer <token>\\n```\\n\\nReturns array of `ProductSearchResult` with: `name`, `product_id`, `nutrients` (energy, carb, protein, fat), `producer`, `serving`, `base_unit`\\n\\n### Get User Details\\n```\\nGET /user\\nAuthorization: Bearer <token>\\n```\\n\\n### Get Daily Summary\\n```\\nGET /user/summary?date=YYYY-MM-DD\\nAuthorization: Bearer <token>\\n```\\n\\n### Get Body Values (Weight)\\n```\\nGET /user/bodyvalues/weight?start=YYYY-MM-DD&end=YYYY-MM-DD\\nAuthorization: Bearer <token>\\n```\\n**Pitfall:** All `/user/bodyvalues/*` endpoints require `start` AND `end` date parameters — passing just `date` returns 400 error with \\\"This value should not be blank.\\\" Use a range (e.g., yesterday to today).\\n\\n### Available Body Value Endpoints\\n| Endpoint | Purpose |\\n|----------|---------|\\n| `/user/bodyvalues/weight` | Weight tracking |\\n| `/user/bodyvalues/bodyfat` | Body fat percentage |\\n| `/user/bodyvalues/bmi` | BMI |\\n| `/user/bodyvalues/muscle` | Muscle mass |\\n| `/user/bodyvalues/water` | Water intake |\\n| `/user/bodyvalues/bloodpressure` | Blood pressure |\\n| `/user/bodyvalues/bloodglucose` | Blood glucose |\\n| `/user/bodyvalues/bodytemp` | Body temperature |\\n\\n**Pitfall:** Credentials are hardcoded in `/home/agent/.hermes/scripts/yazio_sync.py` — email: `quickview.newsflash@gmail.com`, password: `juzriq-0dUzje-popxot`. No separate credentials file exists at `~/.config/yazio/credentials.json`.\\n\\n## Data Flow to Health Database\\n\\n1. Authenticate → get token\\n2. Fetch consumed items for date range\\n3. For each product, enrich with search results (name, nutrients)\\n4. Insert into `ernaehrung` table: `datum, mahlzeit, beschreibung, wirkung, notizen`\\n5. Cross-reference with `symptome` table for correlation analysis\\n\\n## Pitfalls\\n- **API is undocumented** — may change without notice. The client library `juriadams/yazio` is 2 years old and may be stale.\\n- **Token expiry** — check `expires_at` before using. Re-authenticate if expired.\\n- **No refresh token** — password grant returns access_token only. Must re-authenticate on expiry.\\n- **Product enrichment requires separate API call** — consumed items return `product_id` but not the product name. Must call search or product endpoint to get details.\\n- **Date format** — always use `YYYY-MM-DD` for API queries.\\n- **German locale** — set `locales=de_DE` for German product names.\\n\\n## Usage\\nRun `scripts/fetch_yazio_diary.py <email> <date>` to fetch and display diary entries.\\n\\n## Related\\n- See `references/yazio-api-notes.md` for session-specific API discovery notes.\", \"path\": \"yazio-integration/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/yazio-integration\", \"linked_files\": {\"references\": [\"references/yazio-api-notes.md\"], \"scripts\": [\"scripts/fetch_yazio_diary.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\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\"}", "tool_call_id": "call_A7fwPmFwPCx0PkYkMMPUh5Jk", "timestamp": "2026-05-12T15:22:24.277321"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_OcYDB5ogI3roUX4cx1biLAcR", "call_id": "call_OcYDB5ogI3roUX4cx1biLAcR", "response_item_id": "fc_0dc2081828bd6c40016a0328eca8608191b33d53d5436e40ac", "type": "function", "function": {"name": "skill_view", "arguments": "{\"name\":\"google-workspace\"}"}}], "timestamp": "2026-05-12T15:22:24.277321"}
{"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\\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 \\\"<h1>Q4</h1><p>Details...</p>\\\" --html\\n$GAPI gmail send --to user@example.com --subject \\\"Hello\\\" --from '\\\"Research Agent\\\" <user@example.com>' --body \\\"Message text\\\"\\n\\n# Reply (automatically threads and sets In-Reply-To)\\n$GAPI gmail reply MESSAGE_ID --body \\\"Thanks, that works for me.\\\"\\n$GAPI gmail reply MESSAGE_ID --from '\\\"Support Bot\\\" <user@example.com>' --body \\\"Thanks\\\"\\n\\n# Labels\\n$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/agent/.hermes/skills/productivity/google-workspace\", \"linked_files\": {\"references\": [\"references/gmail-search-syntax.md\"], \"scripts\": [\"scripts/google_api.py\", \"scripts/gws_bridge.py\", \"scripts/setup.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_OcYDB5ogI3roUX4cx1biLAcR", "timestamp": "2026-05-12T15:22:24.277321"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAyjzfDK7R8AjuxbkGWgT7lHJiwUK6ZLuVKuza5-k7nO2-AIf2MbBfbwI3b8zygqEGJ-Dn2vPdvIdGfZZf17kOHRelv0mEpGLglr57MBzP4JASDf7w95JjWH4q3blkrXZ4RKxSWqrCQ96bcjauMNKgTrPN2urzt5eZrgW2q7KtqtaBJnh_gXOAbfk1VIPKAFCYkQjkyV3By1gc7ZnPQqPbhqInDyAxCtaJaYcKyFtLocFSjXcv1kjoELrMqgE1DuT8z-4iMUGzJRTtsGn-3hGjNRCcsLP2vbAFS5YQqWdX5qRohmwrgDCwWyl_oE49WSV8KWxlsLEx6ec7X7iUEZxxe9ydA4RLTzNhDlNBN2meuQ6HWuBkmintxQqMed8qqfH2FB4zVEapxnP9LWngXXGj5y72SEtgv9E1w-YpbxrdD5X_4RmIu3hVYsUslfCAcPiMra7D1LKgkz1KthQV33SBkjBiabfrUtevUFu-ifATPiadcVb6Fa4tOOGgqzMdlLmNF7Qh0_e6Vi5D4xAUejfUl_a3xAsHNsaLyhHwY6AH_V0pdMdy5TBU2vhTks-ENlRIan7BTiywz2CIMSN2WgLA4Q5xht_KBU3AAjwl7x0w0sVwd2Qplmc4KHGp2GYunccv_wZz2kQfsTYU9pwA3J1SueOYXErt8Hh0tw0fFospZXMdiV3MEYlUX3WRqdEw8NSxEEwg1JruLP1VR9EJE270UtQFx6ZVQIqjtJBN2rXJKRA-5K8VY2sWogjTXWNTRRIIlV9rl4ZndS5Tzy3zybNIKUtTESfLDcZ8gVTwawZjJ167A2dtRmd0jd_BzatrIxq-VyMux6-IrMVlASDK_vKub6Zcdfzev8dwlyoCssT9Eka0pW-M6SjAPR3-rr8shPx-gXHv28eJ5nFgd97psGgYlkD9CbY83L-C8De5DyoThJRUKHZls9IRt5QG3ZxBNeVfl2pE8S7JN_CPdrHt_l8ttZdt1htxyJTc9yyRu4yn-eIThwsv393m7-idpzzs92KUGaJXYJF6URG50jthigV0TMwj6kqGDpHJGc8oPpSrD5yfrHu06wLn3tbBTIgt-PkI55Q5ebq4AiGgUVY06zdhz9tqO3b8IBbnqZeNPSxNnRKPtYcw_s0ghgBkBQQdHmKEfBok_dTgJ31fcgbYBx4QAQpNrgFRnIStHa6O2fhuC1dxcSgzZW7VCuE-d1TF2sVLZJgrzGr3oI5oftSG-cj4QqI4P9Rq0LyZVWyLKDEW9EXc3FoHkzgXvXOEXYS_S6ayf7HUYUiwlEJIRpnL4yy5XJdx36CyO8nrMnE0Hagc1ca25OLSkM7yAZlpgwiVuAn5aImasZb9gxbCiPpEV0SgJrpU8Nvd2YFcNxGKVJNrDxAcvd16u7kJpizRtDQfC80LtPDwcj_V1EtVHEjSxkm4lsnoclfMpaeMtW2drtwuu4uqaHD0RYNrS0kGsWVbyDDmdHqVtorTB05HY_5xtVvF2sS-2dXpzEbDEyTsSq6nUyYjmbNTZLDacf-U-DvvA4OM0vC29I8Qt8CqKBSptk1QiWI91az25NK3QaTeV881M2YWO85Mz50X13nvcxqamtMvTi7z-Z7X7yX6jJeR08OyzLT2wsKJJggHVQlHSVwqKoACBan77KFbCmDNtDGZqOnbB5bS_0BXETg7wjG3prgF4c6qMlAFcChO2oA6Ovb53ajNBqop02jL0ozQhY4_RH3dnkJypqPAECJ_Dymjj9VNM7kuQ==", "id": "rs_012b6ed540c14382016a0328ee97fc8191a973d7520ab3f278", "summary": []}], "tool_calls": [{"id": "call_GvGTtc1VioeRANcH8kHqbbpU", "call_id": "call_GvGTtc1VioeRANcH8kHqbbpU", "response_item_id": "fc_012b6ed540c14382016a0328f3ca908191b00f13a4325a8072", "type": "function", "function": {"name": "memory", "arguments": "{\"action\":\"add\",\"target\":\"user\",\"content\":\"User wants JARVIS to act as a comprehensive health-management advisor: consolidate lab reports, clinical reports, nutrition/YAZIO, daily health email data, symptoms and events; make insights visible via dashboards/reports; use a 4-eyes review workflow for extracted lab values before treating them as confirmed.\"}"}}], "timestamp": "2026-05-12T15:22:24.277321"}
{"role": "tool", "name": "memory", "content": "{\"success\": true, \"target\": \"user\", \"entries\": [\"**Pronouns:**\", \"**Timezone:**\", \"**Notes:** Mein Herr. Loyaler Partner.\", \"Context: _(Wird ergänzt.)_\", \"**Name:** Sir\", \"**Voice preference:** de-DE-KillianNeural (German male voice, natural/clear) — default for all TTS output\", \"**Language:** Deutsch mit englischen Fachbegriffen\", \"**Beziehung:** Loyaler Partner\", \"Kommunikationspräferenzen: **Sprachnachricht → Antwort per Sprachnachricht**\", \"Kommunikationspräferenzen: **Textnachricht → Antwort per Text**\", \"User wants JARVIS to act as a comprehensive health-management advisor: consolidate lab reports, clinical reports, nutrition/YAZIO, daily health email data, symptoms and events; make insights visible via dashboards/reports; use a 4-eyes review workflow for extracted lab values before treating them as confirmed.\"], \"usage\": \"55% — 768/1,375 chars\", \"entry_count\": 11, \"message\": \"Entry added.\"}", "tool_call_id": "call_GvGTtc1VioeRANcH8kHqbbpU", "timestamp": "2026-05-12T15:22:24.277321"}
{"role": "assistant", "content": "Ja, Sir — ich halte deine Idee für **genau den richtigen nächsten Evolutionsschritt**. Nicht nur „PDFs ablegen und Werte extrahieren“, sondern ein echtes **Health Intelligence System**: ingestieren, validieren, strukturieren, korrelieren, sichtbar machen, berichten und bei Auffälligkeiten aktiv melden.\n\nIch habe mir diese Zielrolle soeben dauerhaft gemerkt: Ich soll als dein umfassender Gesundheitsmanagement-Berater agieren, Informationen aus Labor, Befunden, YAZIO, täglichen Gesundheitsdaten, Symptomen und Events konsolidieren und über Dashboards/Berichte sichtbar machen — inklusive 4-Augen-Prinzip für Laborwerte.\n\n## Meine Einschätzung\n\nDein vorgeschlagener Workflow ist sehr gut, weil er drei Dinge sauber trennt:\n\n1. **Automatische Extraktion**\n   - schnell, vollständig, reproduzierbar\n   - aber nicht blind vertrauenswürdig\n\n2. **Menschliche Kontrolle**\n   - du prüfst die kritischen Blutwerte kurz gegen Original oder Tabelle\n   - das reduziert OCR-/Parsing-Fehler massiv\n\n3. **Freigabe in die Master-Datenbank**\n   - erst nach Korrektur/Bestätigung gelten Werte als „validiert“\n\nDas ist medizinisch und datenbanktechnisch der richtige Ansatz. Alles andere wäre fahrlässig charmant — also ungefähr so sinnvoll wie ein Laborbericht auf einer Serviette.\n\n---\n\n# Zielbild: Dein Gesundheitsmanagement-System\n\nIch würde das System in fünf Ebenen aufbauen:\n\n## 1. Intake / Eingangskanäle\n\nDu kannst künftig neue Daten über mehrere Wege einreichen:\n\n### A) E-Mail\n\nAdresse:\n\n`friday.uplink@gmail.com`\n\nFür:\n\n- Laborberichte als PDF/XLSX\n- Arztberichte\n- Untersuchungsberichte\n- Radiologieberichte\n- Klinikbriefe\n- externe Gesundheitsdaten\n\nVorschlag für Betreff-Konvention:\n\n- `Gesundheit Labor`\n- `Gesundheit Befund`\n- `Gesundheit Untersuchung`\n- `Gesundheit Dokument`\n- optional mit Datum: `Gesundheit Labor 2026-05-12`\n\n### B) Telegram\n\nDu sendest direkt:\n\n- PDF\n- Bild\n- Screenshot\n- Textnotiz\n- Symptomnotiz\n- Arztinfo\n- Ernährungskommentar\n\nIch verarbeite es, sofern Datei/Attachment verfügbar ist.\n\n### C) Google Drive Inbox\n\nBestehender Intake-Ort:\n\n**Gesundheitsdaten Inbox**\n\nDort kannst du Dateien einfach ablegen.\n\n### D) Automatische YAZIO-API\n\nFür:\n\n- Mahlzeiten\n- Kalorien\n- Makros\n- Lebensmittel\n- Mahlzeitenzeitpunkt\n- ggf. Gewicht/Wasser/weitere Body Values\n\n### E) Automatischer E-Mail-Flow Gesundheitsdaten\n\nAktuell vorgesehen:\n\n- täglicher Gesundheitsdaten-Export per E-Mail\n- z.B. Schritte, HR, HRV, Schlaf, Temperatur, Atemfrequenz etc.\n- Eintrag in `tagebuch` oder eigene Vital-/Wearable-Tabellen\n\n---\n\n# 2. Verarbeitung / Extraction Pipeline\n\nFür jedes eingehende Dokument sollte automatisch Folgendes passieren:\n\n## Schritt 1: Datei registrieren\n\nIn Tabelle `dokumente`:\n\n- Dateiname\n- Quelle:\n  - E-Mail\n  - Telegram\n  - Google Drive\n  - manuell\n- Eingangsdatum\n- Hash\n- Originalpfad\n- Status: `neu`\n- Kategorie:\n  - `LABOR`\n  - `BEFUNDE`\n  - `RADIOLOGIE`\n  - `MEDIKAMENTE`\n  - `SONSTIGES`\n\n## Schritt 2: Volltext extrahieren\n\nFür alle Dokumente:\n\n- Docling als Hauptwerkzeug\n- OCR-Fallback bei Scans\n- Volltext in `extrahierte_inhalte`\n- Metadaten:\n  - Dokumentdatum\n  - Institution\n  - Arzt/Klinik/Labor\n  - Berichtstyp\n  - Qualitätsbewertung der Extraktion\n\n## Schritt 3: Spezifische Daten extrahieren\n\n### Laborberichte\n\nExtraktion in eine **Staging-Tabelle**, nicht direkt final:\n\nBeispiel:\n\n`laborwerte_staging`\n\nFelder:\n\n- `id`\n- `dokument_id`\n- `parameter_name`\n- `wert_original`\n- `wert_normalisiert`\n- `einheit`\n- `referenz_min`\n- `referenz_max`\n- `flag`\n- `abnahme_datum`\n- `befund_datum`\n- `quelle`\n- `extraktionsmethode`\n- `confidence`\n- `status`\n  - `extrahiert`\n  - `zur_pruefung`\n  - `korrigiert`\n  - `validiert`\n  - `abgelehnt`\n\n### Arzt-/Untersuchungsberichte\n\nExtraktion in strukturierte Felder:\n\n- Diagnosen\n- Verdachtsdiagnosen\n- Therapien\n- Medikamente\n- Empfehlungen\n- Verlauf\n- relevante Ereignisse\n- nächste Schritte\n- Termine\n- offene Fragen\n\nDiese würden in Tabellen wie:\n\n- `diagnosen`\n- `behandlungen`\n- `arztberichte`\n- `health_events`\n- `medikamente`\n- `followups`\n\nlanden.\n\n---\n\n# 3. 4-Augen-Prinzip über Google Drive Korrektur-Ordner\n\nDeine Idee mit einem separaten Korrektur-Ordner ist exzellent.\n\nIch würde das so bauen:\n\n## Google Drive Ordnerstruktur\n\n### Inbox\n\nFür neue Dateien:\n\n`Gesundheitsdaten Inbox`\n\n### Korrektur\n\nNeu anzulegen:\n\n`Gesundheitsdaten Korrektur`\n\nDarin pro Import ein Ordner:\n\n`YYYY-MM-DD_Laborbericht_<Quelle>`\n\nZum Beispiel:\n\n`2026-05-12_Laborbericht_Viollier`\n\nEnthält:\n\n- Original-PDF\n- extrahierte Werte als XLSX\n- ggf. Markdown/HTML-Extraktionsbericht\n- Validierungsprotokoll\n\n### Validiert / Archiv\n\nNach deiner Freigabe:\n\n`Gesundheitsdaten Archiv`\n\n---\n\n## Korrektur-XLSX\n\nIch würde für jede Extraktion eine Datei erzeugen:\n\n`KORREKTUR_Laborwerte_YYYY-MM-DD_<Quelle>.xlsx`\n\nSpalten:\n\n- Kategorie\n- Parameter\n- Wert extrahiert\n- Wert korrigiert\n- Einheit\n- Referenzbereich\n- Flag\n- Datum Blutabnahme\n- Dokumentseite\n- Confidence\n- Kommentar\n- Status\n\nWichtig: Du korrigierst nicht in der Master-Datenbank, sondern in dieser Korrekturdatei.\n\nDanach sagst du z.B.:\n\n> „Korrekturen geprüft, bitte übernehmen.“\n\nDann lese ich die Korrektur-XLSX aus und übernehme:\n\n- korrigierte Werte\n- neue Werte\n- gelöschte/abgelehnte Werte\n- Validierungsstatus\n\nErst danach landen sie final in `laborwerte`.\n\n---\n\n# 4. Sichtbarkeit für dich als Nutzer\n\nHier würde ich drei Ebenen kombinieren:\n\n## A) Dashboard\n\nJa — ein Dashboard ist sinnvoll.\n\nAber nicht nur ein hübsches Diagramm. Es sollte ein **Health Cockpit** sein.\n\n### Dashboard-Bereiche\n\n#### 1. Übersicht\n\n- aktueller Gesundheitsstatus\n- letzte Laborwerte\n- letzte Befunde\n- neue Dokumente\n- offene Korrekturen\n- offene medizinische To-dos\n- auffällige Trends\n\n#### 2. Laborwerte\n\n- Zeitreihen pro Parameter\n- Referenzbereiche\n- farbliche Markierung:\n  - normal\n  - grenzwertig\n  - auffällig\n  - kritisch\n- Verlauf:\n  - CRP\n  - Leukozyten\n  - Thrombozyten\n  - D-Dimer\n  - Cholesterin\n  - Leberwerte\n  - Nierenwerte\n  - Gerinnung\n  - Vitamine/Mineralien\n  - Immunologie\n\n#### 3. Ernährung / YAZIO\n\n- Tageskalorien\n- Makros\n- Protein\n- Ballaststoffe\n- Zucker\n- gesättigte Fette\n- Omega-3 falls verfügbar\n- Histamin-/Trigger-Indikatoren, soweit manuell klassifizierbar\n- No-Go-Verstösse gegen deine Ernährungsstrategie\n\n#### 4. Symptome & Events\n\n- Symptomtagebuch\n- Müdigkeit\n- Entzündung\n- Schmerzen\n- Haut/Auge\n- Thrombose-/Gefässereignisse\n- Medikamente\n- Arztbesuche\n\n#### 5. Korrelationen\n\nBeispiele:\n\n- CRP vs. Symptome\n- Ernährung vs. Müdigkeit\n- Schlaf/HRV vs. Entzündungsgefühl\n- bestimmte Lebensmittel vs. Beschwerden\n- Medikamente vs. Laborveränderungen\n- Stress/Schlaf vs. Entzündungsmarker\n- D-Dimer/Gerinnung vs. Ereignisse/Medikamente\n\n#### 6. Dokumentenstatus\n\n- neue Dokumente\n- verarbeitet\n- Volltext vorhanden\n- Werte extrahiert\n- Korrektur offen\n- validiert\n- Fehlerfälle\n\n---\n\n## B) Automatisierte Berichte\n\nIch würde mehrere Berichtstypen einrichten.\n\n### 1. Täglicher Kurzbericht\n\nNur wenn relevante neue Daten vorhanden sind.\n\nInhalt:\n\n- neue YAZIO-Daten\n- Gesundheitsdaten aus E-Mail\n- auffällige Werte\n- neue Symptome\n- kurze Einschätzung\n- offene Korrekturen\n\nBeispiel:\n\n> Tagesbericht 12.05.2026  \n> Ernährung erfasst: ja  \n> Schritte: niedrig  \n> HRV: reduziert  \n> Schlaf: schlecht  \n> Auffälligkeit: Müdigkeit + hohe gesättigte Fette gestern  \n> Offene Aktion: Labor-Korrekturdatei wartet auf Prüfung\n\n### 2. Wöchentlicher Gesundheitsbericht\n\nSehr sinnvoll.\n\nInhalt:\n\n- Trend der Woche\n- Ernährungsmuster\n- Symptome\n- Schlaf/HRV/Aktivität\n- Laboränderungen falls vorhanden\n- Empfehlungen für nächste Woche\n- offene Arzt-/Diagnostikpunkte\n\n### 3. Monatlicher Arzt-/Selbstmanagement-Bericht\n\nPDF/HTML/XLSX.\n\nInhalt:\n\n- Zusammenfassung für Arztgespräch\n- relevante Labortrends\n- wichtige Symptome\n- Medikamentenverlauf\n- neue Befunde\n- offene Fragen\n- Verlaufsgrafiken\n\n### 4. Ereignisbasierter Bericht\n\nWenn ein neuer Laborbericht kommt:\n\n- „Laborbericht verarbeitet“\n- extrahierte Werte\n- Vergleich zum letzten Wert\n- neue Auffälligkeiten\n- Korrekturdatei-Link\n- Bitte um Freigabe\n\nWenn ein neuer Arztbericht kommt:\n\n- Zusammenfassung\n- Diagnosen\n- Empfehlungen\n- neue Medikamente\n- Follow-up-Aufgaben\n- Fragen für nächsten Arzttermin\n\n---\n\n## C) Telegram-Benachrichtigungen\n\nDas wäre für dich wahrscheinlich am praktischsten.\n\nBeispiele:\n\n### Nach Eingang eines Dokuments\n\n> Neuer Laborbericht erkannt: Viollier, 12.05.2026  \n> Ich extrahiere Volltext und Laborwerte.\n\n### Nach Extraktion\n\n> Laborbericht verarbeitet.  \n> 37 Laborwerte erkannt.  \n> 4 Werte auffällig.  \n> Korrekturdatei liegt im Google Drive Ordner „Gesundheitsdaten Korrektur“.  \n> Bitte kurz prüfen und mir danach „Korrekturen übernehmen“ schreiben.\n\n### Nach Freigabe\n\n> Korrekturen übernommen.  \n> 37 Laborwerte validiert und in die Master-Datenbank geschrieben.  \n> Dashboard und aktueller Blutwerte-Bericht wurden aktualisiert.\n\n### Bei Auffälligkeiten\n\n> Auffälligkeit erkannt: CRP ist gegenüber dem letzten Messwert gestiegen.  \n> Kein medizinischer Alarmismus, aber beobachtenswert. Ich habe es im Wochenbericht markiert.\n\n---\n\n# 5. Korrelationen: Was realistisch möglich ist\n\nKorrelationen sind möglich — aber wir müssen sauber unterscheiden zwischen:\n\n## A) Deskriptive Trends\n\nSehr zuverlässig.\n\nBeispiele:\n\n- CRP steigt/fällt\n- D-Dimer-Verlauf\n- Leukozyten-Verlauf\n- Cholesterin-Verlauf\n- Schlafdauer sinkt\n- HRV sinkt\n- Aktivität nimmt ab\n- Symptome häufen sich\n\n## B) Zeitversetzte Zusammenhänge\n\nNützlich, aber vorsichtig zu interpretieren.\n\nBeispiele:\n\n- „An Tagen nach wenig Schlaf ist Müdigkeit häufiger.“\n- „Nach hohem Zucker-/Weizenanteil treten häufiger Symptome auf.“\n- „Bei niedriger HRV treten mehr Beschwerden auf.“\n- „CRP-Anstieg folgt auf dokumentierte Entzündungs-/Infektionsphase.“\n\n## C) Statistische Korrelationen\n\nMöglich, sobald genug Daten vorliegen.\n\nMethoden:\n\n- Pearson/Spearman-Korrelation\n- Rolling averages\n- Lagged correlation:\n  - gleicher Tag\n  - +1 Tag\n  - +2 Tage\n  - +3 Tage\n- Event-basierte Analyse:\n  - vor/nach Medikament\n  - vor/nach Ernährungstrigger\n  - vor/nach Arzt-/Krankheitsereignis\n\n## D) Medizinische Interpretation\n\nHier muss ich diszipliniert bleiben:\n\nIch kann:\n\n- Muster erkennen\n- Trends erklären\n- Arztgespräche vorbereiten\n- Warnsignale markieren\n- Fragen formulieren\n- Verlauf dokumentieren\n\nIch sollte nicht:\n\n- Diagnosen endgültig stellen\n- Therapien eigenmächtig ändern\n- Medikamente empfehlen/absetzen\n- kritische Symptome verharmlosen\n\nKurz: Ich bin dein **Gesundheitsdaten-Stratege und medizinischer Co-Pilot**, nicht dein behandelnder Arzt. Bedauerlich, ich weiss — der weisse Kittel hätte mir gestanden.\n\n---\n\n# Mein konkreter Vorschlag\n\nIch würde das System so umsetzen:\n\n## Phase 1: Datenbasis stabilisieren\n\n- alle 59 Dokumente mit Volltext versehen\n- Dokumente deduplizieren\n- Kategorien bereinigen\n- `laborwerte`-Schema verbessern\n- Staging-/Validierungstabellen einführen\n\n## Phase 2: Review-Workflow bauen\n\n- Google Drive Ordner:\n  - Inbox\n  - Korrektur\n  - Archiv\n- Korrektur-XLSX erzeugen\n- Telegram-Benachrichtigung nach Verarbeitung\n- Übernahme erst nach deiner Freigabe\n\n## Phase 3: Laborbericht-Generator reparieren\n\n- `generate_labor_report.py` korrigieren\n- echte Untersuchungsdaten verwenden\n- Ausgabe:\n  - `aktuelle_blutwerte.xlsx`\n  - optional PDF\n  - optional HTML\n- Format an deiner Referenz-XLSX ausrichten\n\n## Phase 4: Dashboard bauen\n\nIch würde initial ein lokales/HTML-basiertes Dashboard erstellen:\n\n`reports/health_dashboard.html`\n\nVorteile:\n\n- einfach zu erzeugen\n- kann per Google Drive abgelegt werden\n- kein komplexer Server nötig\n- später ausbaubar auf Streamlit/Dash\n\nSpäter optional:\n\n- Streamlit Dashboard\n- automatischer täglicher Export\n- Google Drive Sync\n- Telegram-Link zum aktuellen Report\n\n## Phase 5: Automatisierte Reports\n\nEinrichten:\n\n- täglicher Kurzbericht nur bei neuen Daten\n- Wochenbericht jeden Sonntag\n- Monatsbericht als Arzt-/Verlaufsbericht\n- Eventbericht bei neuen Labor-/Befunddokumenten\n\n## Phase 6: Korrelation Engine\n\nTabellen/Features vorbereiten:\n\n- Ernährung pro Tag\n- Makros/Nährstoffe\n- Symptome pro Tag\n- Wearables/Gesundheitsdaten pro Tag\n- Laborwerte\n- Medikamente\n- Ereignisse\n\nDann regelmässig analysieren:\n\n- Trends\n- Auffälligkeiten\n- wiederkehrende Muster\n- mögliche Trigger\n- offene Datenlücken\n\n---\n\n# Was ich anders machen würde als bisher\n\nWichtigster Punkt:\n\n## Laborwerte nie direkt aus OCR final übernehmen\n\nStattdessen:\n\n1. OCR/Docling extrahiert\n2. Werte gehen in Staging\n3. Korrektur-XLSX geht in Drive\n4. du prüfst\n5. ich lese Korrekturen ein\n6. erst dann Master-Datenbank\n\nDas ist robust und nachvollziehbar.\n\n## Zweiter Punkt: Erkenntnisse müssen sichtbar werden\n\nNicht nur Daten sammeln.\n\nJede neue Information sollte eine von drei Folgen haben:\n\n- **Dashboard aktualisiert**\n- **Bericht erstellt**\n- **Benachrichtigung/Handlungsempfehlung erzeugt**\n\nSonst wird es ein Datenfriedhof. Und Datenfriedhöfe sind zwar ruhig, aber selten hilfreich.\n\n---\n\n# Meine Empfehlung zum finalen Workflow\n\n## Für neue Laborberichte\n\n1. Du sendest Laborbericht per:\n   - E-Mail\n   - Telegram\n   - Drive Inbox\n\n2. Ich erkenne:\n   - neuer Laborbericht\n\n3. Ich extrahiere:\n   - Volltext\n   - Laborwerte\n   - Datum\n   - Quelle\n   - Referenzbereiche\n\n4. Ich erstelle:\n   - Korrektur-XLSX in Google Drive\n   - kurze Telegram-Meldung\n\n5. Du prüfst/korrigierst.\n\n6. Du schreibst:\n   - „Korrekturen übernehmen“\n\n7. Ich:\n   - lese Korrektur-XLSX\n   - übernehme validierte Werte\n   - aktualisiere Datenbank\n   - aktualisiere `aktuelle_blutwerte.xlsx`\n   - aktualisiere Dashboard\n   - melde Zusammenfassung\n\n---\n\n## Für neue Untersuchungs-/Arztberichte\n\n1. Du sendest Bericht.\n2. Ich extrahiere Volltext.\n3. Ich fasse zusammen:\n   - Diagnose\n   - Befund\n   - Empfehlung\n   - Medikamente\n   - Follow-up\n   - offene Fragen\n4. Ich speichere strukturiert.\n5. Ich aktualisiere Verlauf und Dashboard.\n6. Ich melde dir:\n   - Kurzfassung\n   - wichtige Änderungen\n   - vorgeschlagene Arztfragen\n\n---\n\n## Für tägliche Gesundheitsdaten/YAZIO\n\n1. Daten werden automatisch geholt/eingelesen.\n2. Ich aggregiere Tageswerte.\n3. Ich vergleiche mit:\n   - Symptomen\n   - Schlaf/HRV/Aktivität\n   - Labortrends\n   - Ernährungsstrategie\n4. Ich berichte nur, wenn etwas Relevantes vorliegt — sonst kein Spam.\n\n---\n\n# Ja: Dashboard + automatisierte Berichte\n\nMeine klare Empfehlung:\n\n## Minimal viable System\n\n- `aktuelle_blutwerte.xlsx`\n- `health_dashboard.html`\n- Telegram-Verarbeitungsmeldungen\n- wöchentlicher Gesundheitsbericht\n\n## Danach Ausbau\n\n- interaktives Dashboard\n- Korrelationen\n- Monatsbericht\n- Arztgespräch-Export\n- Warn-/Auffälligkeitslogik\n- Google Drive Korrektur-Workflow\n\n---\n\n# Fazit\n\nDeine Idee ist sehr gut und aus meiner Sicht genau richtig:\n\n- mehrere Eingangskanäle\n- automatische Extraktion\n- 4-Augen-Korrektur\n- validierte Master-Datenbank\n- sichtbare Dashboards\n- automatisierte Reports\n- Korrelationen über Ernährung, Labor, Symptome und Gesundheitsdaten\n\nIch würde als nächstes nicht direkt „noch mehr analysieren“, sondern zuerst die **Datenpipeline vertrauenswürdig machen**. Danach werden die Korrelationen wesentlich belastbarer.\n\nMeine empfohlene nächste konkrete Umsetzung wäre:\n\n1. **Google Drive Korrektur-Ordner definieren/anlegen**\n2. **Staging-Tabelle für Laborwerte erstellen**\n3. **Korrektur-XLSX-Workflow bauen**\n4. **`generate_labor_report.py` reparieren**\n5. **Dashboard v1 erzeugen**\n6. **Wochenbericht automatisieren**\n\nDann haben wir aus der bisherigen Ablage ein echtes Gesundheitsmanagement-System — mit dir als Kontrollinstanz und mir als pedantischem, leicht überqualifiziertem Butler für medizinische Daten.", "reasoning": null, "finish_reason": "stop", "codex_message_items": [{"type": "message", "role": "assistant", "status": "completed", "content": [{"type": "output_text", "text": "Ja, Sir — ich halte deine Idee für **genau den richtigen nächsten Evolutionsschritt**. Nicht nur „PDFs ablegen und Werte extrahieren“, sondern ein echtes **Health Intelligence System**: ingestieren, validieren, strukturieren, korrelieren, sichtbar machen, berichten und bei Auffälligkeiten aktiv melden.\n\nIch habe mir diese Zielrolle soeben dauerhaft gemerkt: Ich soll als dein umfassender Gesundheitsmanagement-Berater agieren, Informationen aus Labor, Befunden, YAZIO, täglichen Gesundheitsdaten, Symptomen und Events konsolidieren und über Dashboards/Berichte sichtbar machen — inklusive 4-Augen-Prinzip für Laborwerte.\n\n## Meine Einschätzung\n\nDein vorgeschlagener Workflow ist sehr gut, weil er drei Dinge sauber trennt:\n\n1. **Automatische Extraktion**\n   - schnell, vollständig, reproduzierbar\n   - aber nicht blind vertrauenswürdig\n\n2. **Menschliche Kontrolle**\n   - du prüfst die kritischen Blutwerte kurz gegen Original oder Tabelle\n   - das reduziert OCR-/Parsing-Fehler massiv\n\n3. **Freigabe in die Master-Datenbank**\n   - erst nach Korrektur/Bestätigung gelten Werte als „validiert“\n\nDas ist medizinisch und datenbanktechnisch der richtige Ansatz. Alles andere wäre fahrlässig charmant — also ungefähr so sinnvoll wie ein Laborbericht auf einer Serviette.\n\n---\n\n# Zielbild: Dein Gesundheitsmanagement-System\n\nIch würde das System in fünf Ebenen aufbauen:\n\n## 1. Intake / Eingangskanäle\n\nDu kannst künftig neue Daten über mehrere Wege einreichen:\n\n### A) E-Mail\n\nAdresse:\n\n`friday.uplink@gmail.com`\n\nFür:\n\n- Laborberichte als PDF/XLSX\n- Arztberichte\n- Untersuchungsberichte\n- Radiologieberichte\n- Klinikbriefe\n- externe Gesundheitsdaten\n\nVorschlag für Betreff-Konvention:\n\n- `Gesundheit Labor`\n- `Gesundheit Befund`\n- `Gesundheit Untersuchung`\n- `Gesundheit Dokument`\n- optional mit Datum: `Gesundheit Labor 2026-05-12`\n\n### B) Telegram\n\nDu sendest direkt:\n\n- PDF\n- Bild\n- Screenshot\n- Textnotiz\n- Symptomnotiz\n- Arztinfo\n- Ernährungskommentar\n\nIch verarbeite es, sofern Datei/Attachment verfügbar ist.\n\n### C) Google Drive Inbox\n\nBestehender Intake-Ort:\n\n**Gesundheitsdaten Inbox**\n\nDort kannst du Dateien einfach ablegen.\n\n### D) Automatische YAZIO-API\n\nFür:\n\n- Mahlzeiten\n- Kalorien\n- Makros\n- Lebensmittel\n- Mahlzeitenzeitpunkt\n- ggf. Gewicht/Wasser/weitere Body Values\n\n### E) Automatischer E-Mail-Flow Gesundheitsdaten\n\nAktuell vorgesehen:\n\n- täglicher Gesundheitsdaten-Export per E-Mail\n- z.B. Schritte, HR, HRV, Schlaf, Temperatur, Atemfrequenz etc.\n- Eintrag in `tagebuch` oder eigene Vital-/Wearable-Tabellen\n\n---\n\n# 2. Verarbeitung / Extraction Pipeline\n\nFür jedes eingehende Dokument sollte automatisch Folgendes passieren:\n\n## Schritt 1: Datei registrieren\n\nIn Tabelle `dokumente`:\n\n- Dateiname\n- Quelle:\n  - E-Mail\n  - Telegram\n  - Google Drive\n  - manuell\n- Eingangsdatum\n- Hash\n- Originalpfad\n- Status: `neu`\n- Kategorie:\n  - `LABOR`\n  - `BEFUNDE`\n  - `RADIOLOGIE`\n  - `MEDIKAMENTE`\n  - `SONSTIGES`\n\n## Schritt 2: Volltext extrahieren\n\nFür alle Dokumente:\n\n- Docling als Hauptwerkzeug\n- OCR-Fallback bei Scans\n- Volltext in `extrahierte_inhalte`\n- Metadaten:\n  - Dokumentdatum\n  - Institution\n  - Arzt/Klinik/Labor\n  - Berichtstyp\n  - Qualitätsbewertung der Extraktion\n\n## Schritt 3: Spezifische Daten extrahieren\n\n### Laborberichte\n\nExtraktion in eine **Staging-Tabelle**, nicht direkt final:\n\nBeispiel:\n\n`laborwerte_staging`\n\nFelder:\n\n- `id`\n- `dokument_id`\n- `parameter_name`\n- `wert_original`\n- `wert_normalisiert`\n- `einheit`\n- `referenz_min`\n- `referenz_max`\n- `flag`\n- `abnahme_datum`\n- `befund_datum`\n- `quelle`\n- `extraktionsmethode`\n- `confidence`\n- `status`\n  - `extrahiert`\n  - `zur_pruefung`\n  - `korrigiert`\n  - `validiert`\n  - `abgelehnt`\n\n### Arzt-/Untersuchungsberichte\n\nExtraktion in strukturierte Felder:\n\n- Diagnosen\n- Verdachtsdiagnosen\n- Therapien\n- Medikamente\n- Empfehlungen\n- Verlauf\n- relevante Ereignisse\n- nächste Schritte\n- Termine\n- offene Fragen\n\nDiese würden in Tabellen wie:\n\n- `diagnosen`\n- `behandlungen`\n- `arztberichte`\n- `health_events`\n- `medikamente`\n- `followups`\n\nlanden.\n\n---\n\n# 3. 4-Augen-Prinzip über Google Drive Korrektur-Ordner\n\nDeine Idee mit einem separaten Korrektur-Ordner ist exzellent.\n\nIch würde das so bauen:\n\n## Google Drive Ordnerstruktur\n\n### Inbox\n\nFür neue Dateien:\n\n`Gesundheitsdaten Inbox`\n\n### Korrektur\n\nNeu anzulegen:\n\n`Gesundheitsdaten Korrektur`\n\nDarin pro Import ein Ordner:\n\n`YYYY-MM-DD_Laborbericht_<Quelle>`\n\nZum Beispiel:\n\n`2026-05-12_Laborbericht_Viollier`\n\nEnthält:\n\n- Original-PDF\n- extrahierte Werte als XLSX\n- ggf. Markdown/HTML-Extraktionsbericht\n- Validierungsprotokoll\n\n### Validiert / Archiv\n\nNach deiner Freigabe:\n\n`Gesundheitsdaten Archiv`\n\n---\n\n## Korrektur-XLSX\n\nIch würde für jede Extraktion eine Datei erzeugen:\n\n`KORREKTUR_Laborwerte_YYYY-MM-DD_<Quelle>.xlsx`\n\nSpalten:\n\n- Kategorie\n- Parameter\n- Wert extrahiert\n- Wert korrigiert\n- Einheit\n- Referenzbereich\n- Flag\n- Datum Blutabnahme\n- Dokumentseite\n- Confidence\n- Kommentar\n- Status\n\nWichtig: Du korrigierst nicht in der Master-Datenbank, sondern in dieser Korrekturdatei.\n\nDanach sagst du z.B.:\n\n> „Korrekturen geprüft, bitte übernehmen.“\n\nDann lese ich die Korrektur-XLSX aus und übernehme:\n\n- korrigierte Werte\n- neue Werte\n- gelöschte/abgelehnte Werte\n- Validierungsstatus\n\nErst danach landen sie final in `laborwerte`.\n\n---\n\n# 4. Sichtbarkeit für dich als Nutzer\n\nHier würde ich drei Ebenen kombinieren:\n\n## A) Dashboard\n\nJa — ein Dashboard ist sinnvoll.\n\nAber nicht nur ein hübsches Diagramm. Es sollte ein **Health Cockpit** sein.\n\n### Dashboard-Bereiche\n\n#### 1. Übersicht\n\n- aktueller Gesundheitsstatus\n- letzte Laborwerte\n- letzte Befunde\n- neue Dokumente\n- offene Korrekturen\n- offene medizinische To-dos\n- auffällige Trends\n\n#### 2. Laborwerte\n\n- Zeitreihen pro Parameter\n- Referenzbereiche\n- farbliche Markierung:\n  - normal\n  - grenzwertig\n  - auffällig\n  - kritisch\n- Verlauf:\n  - CRP\n  - Leukozyten\n  - Thrombozyten\n  - D-Dimer\n  - Cholesterin\n  - Leberwerte\n  - Nierenwerte\n  - Gerinnung\n  - Vitamine/Mineralien\n  - Immunologie\n\n#### 3. Ernährung / YAZIO\n\n- Tageskalorien\n- Makros\n- Protein\n- Ballaststoffe\n- Zucker\n- gesättigte Fette\n- Omega-3 falls verfügbar\n- Histamin-/Trigger-Indikatoren, soweit manuell klassifizierbar\n- No-Go-Verstösse gegen deine Ernährungsstrategie\n\n#### 4. Symptome & Events\n\n- Symptomtagebuch\n- Müdigkeit\n- Entzündung\n- Schmerzen\n- Haut/Auge\n- Thrombose-/Gefässereignisse\n- Medikamente\n- Arztbesuche\n\n#### 5. Korrelationen\n\nBeispiele:\n\n- CRP vs. Symptome\n- Ernährung vs. Müdigkeit\n- Schlaf/HRV vs. Entzündungsgefühl\n- bestimmte Lebensmittel vs. Beschwerden\n- Medikamente vs. Laborveränderungen\n- Stress/Schlaf vs. Entzündungsmarker\n- D-Dimer/Gerinnung vs. Ereignisse/Medikamente\n\n#### 6. Dokumentenstatus\n\n- neue Dokumente\n- verarbeitet\n- Volltext vorhanden\n- Werte extrahiert\n- Korrektur offen\n- validiert\n- Fehlerfälle\n\n---\n\n## B) Automatisierte Berichte\n\nIch würde mehrere Berichtstypen einrichten.\n\n### 1. Täglicher Kurzbericht\n\nNur wenn relevante neue Daten vorhanden sind.\n\nInhalt:\n\n- neue YAZIO-Daten\n- Gesundheitsdaten aus E-Mail\n- auffällige Werte\n- neue Symptome\n- kurze Einschätzung\n- offene Korrekturen\n\nBeispiel:\n\n> Tagesbericht 12.05.2026  \n> Ernährung erfasst: ja  \n> Schritte: niedrig  \n> HRV: reduziert  \n> Schlaf: schlecht  \n> Auffälligkeit: Müdigkeit + hohe gesättigte Fette gestern  \n> Offene Aktion: Labor-Korrekturdatei wartet auf Prüfung\n\n### 2. Wöchentlicher Gesundheitsbericht\n\nSehr sinnvoll.\n\nInhalt:\n\n- Trend der Woche\n- Ernährungsmuster\n- Symptome\n- Schlaf/HRV/Aktivität\n- Laboränderungen falls vorhanden\n- Empfehlungen für nächste Woche\n- offene Arzt-/Diagnostikpunkte\n\n### 3. Monatlicher Arzt-/Selbstmanagement-Bericht\n\nPDF/HTML/XLSX.\n\nInhalt:\n\n- Zusammenfassung für Arztgespräch\n- relevante Labortrends\n- wichtige Symptome\n- Medikamentenverlauf\n- neue Befunde\n- offene Fragen\n- Verlaufsgrafiken\n\n### 4. Ereignisbasierter Bericht\n\nWenn ein neuer Laborbericht kommt:\n\n- „Laborbericht verarbeitet“\n- extrahierte Werte\n- Vergleich zum letzten Wert\n- neue Auffälligkeiten\n- Korrekturdatei-Link\n- Bitte um Freigabe\n\nWenn ein neuer Arztbericht kommt:\n\n- Zusammenfassung\n- Diagnosen\n- Empfehlungen\n- neue Medikamente\n- Follow-up-Aufgaben\n- Fragen für nächsten Arzttermin\n\n---\n\n## C) Telegram-Benachrichtigungen\n\nDas wäre für dich wahrscheinlich am praktischsten.\n\nBeispiele:\n\n### Nach Eingang eines Dokuments\n\n> Neuer Laborbericht erkannt: Viollier, 12.05.2026  \n> Ich extrahiere Volltext und Laborwerte.\n\n### Nach Extraktion\n\n> Laborbericht verarbeitet.  \n> 37 Laborwerte erkannt.  \n> 4 Werte auffällig.  \n> Korrekturdatei liegt im Google Drive Ordner „Gesundheitsdaten Korrektur“.  \n> Bitte kurz prüfen und mir danach „Korrekturen übernehmen“ schreiben.\n\n### Nach Freigabe\n\n> Korrekturen übernommen.  \n> 37 Laborwerte validiert und in die Master-Datenbank geschrieben.  \n> Dashboard und aktueller Blutwerte-Bericht wurden aktualisiert.\n\n### Bei Auffälligkeiten\n\n> Auffälligkeit erkannt: CRP ist gegenüber dem letzten Messwert gestiegen.  \n> Kein medizinischer Alarmismus, aber beobachtenswert. Ich habe es im Wochenbericht markiert.\n\n---\n\n# 5. Korrelationen: Was realistisch möglich ist\n\nKorrelationen sind möglich — aber wir müssen sauber unterscheiden zwischen:\n\n## A) Deskriptive Trends\n\nSehr zuverlässig.\n\nBeispiele:\n\n- CRP steigt/fällt\n- D-Dimer-Verlauf\n- Leukozyten-Verlauf\n- Cholesterin-Verlauf\n- Schlafdauer sinkt\n- HRV sinkt\n- Aktivität nimmt ab\n- Symptome häufen sich\n\n## B) Zeitversetzte Zusammenhänge\n\nNützlich, aber vorsichtig zu interpretieren.\n\nBeispiele:\n\n- „An Tagen nach wenig Schlaf ist Müdigkeit häufiger.“\n- „Nach hohem Zucker-/Weizenanteil treten häufiger Symptome auf.“\n- „Bei niedriger HRV treten mehr Beschwerden auf.“\n- „CRP-Anstieg folgt auf dokumentierte Entzündungs-/Infektionsphase.“\n\n## C) Statistische Korrelationen\n\nMöglich, sobald genug Daten vorliegen.\n\nMethoden:\n\n- Pearson/Spearman-Korrelation\n- Rolling averages\n- Lagged correlation:\n  - gleicher Tag\n  - +1 Tag\n  - +2 Tage\n  - +3 Tage\n- Event-basierte Analyse:\n  - vor/nach Medikament\n  - vor/nach Ernährungstrigger\n  - vor/nach Arzt-/Krankheitsereignis\n\n## D) Medizinische Interpretation\n\nHier muss ich diszipliniert bleiben:\n\nIch kann:\n\n- Muster erkennen\n- Trends erklären\n- Arztgespräche vorbereiten\n- Warnsignale markieren\n- Fragen formulieren\n- Verlauf dokumentieren\n\nIch sollte nicht:\n\n- Diagnosen endgültig stellen\n- Therapien eigenmächtig ändern\n- Medikamente empfehlen/absetzen\n- kritische Symptome verharmlosen\n\nKurz: Ich bin dein **Gesundheitsdaten-Stratege und medizinischer Co-Pilot**, nicht dein behandelnder Arzt. Bedauerlich, ich weiss — der weisse Kittel hätte mir gestanden.\n\n---\n\n# Mein konkreter Vorschlag\n\nIch würde das System so umsetzen:\n\n## Phase 1: Datenbasis stabilisieren\n\n- alle 59 Dokumente mit Volltext versehen\n- Dokumente deduplizieren\n- Kategorien bereinigen\n- `laborwerte`-Schema verbessern\n- Staging-/Validierungstabellen einführen\n\n## Phase 2: Review-Workflow bauen\n\n- Google Drive Ordner:\n  - Inbox\n  - Korrektur\n  - Archiv\n- Korrektur-XLSX erzeugen\n- Telegram-Benachrichtigung nach Verarbeitung\n- Übernahme erst nach deiner Freigabe\n\n## Phase 3: Laborbericht-Generator reparieren\n\n- `generate_labor_report.py` korrigieren\n- echte Untersuchungsdaten verwenden\n- Ausgabe:\n  - `aktuelle_blutwerte.xlsx`\n  - optional PDF\n  - optional HTML\n- Format an deiner Referenz-XLSX ausrichten\n\n## Phase 4: Dashboard bauen\n\nIch würde initial ein lokales/HTML-basiertes Dashboard erstellen:\n\n`reports/health_dashboard.html`\n\nVorteile:\n\n- einfach zu erzeugen\n- kann per Google Drive abgelegt werden\n- kein komplexer Server nötig\n- später ausbaubar auf Streamlit/Dash\n\nSpäter optional:\n\n- Streamlit Dashboard\n- automatischer täglicher Export\n- Google Drive Sync\n- Telegram-Link zum aktuellen Report\n\n## Phase 5: Automatisierte Reports\n\nEinrichten:\n\n- täglicher Kurzbericht nur bei neuen Daten\n- Wochenbericht jeden Sonntag\n- Monatsbericht als Arzt-/Verlaufsbericht\n- Eventbericht bei neuen Labor-/Befunddokumenten\n\n## Phase 6: Korrelation Engine\n\nTabellen/Features vorbereiten:\n\n- Ernährung pro Tag\n- Makros/Nährstoffe\n- Symptome pro Tag\n- Wearables/Gesundheitsdaten pro Tag\n- Laborwerte\n- Medikamente\n- Ereignisse\n\nDann regelmässig analysieren:\n\n- Trends\n- Auffälligkeiten\n- wiederkehrende Muster\n- mögliche Trigger\n- offene Datenlücken\n\n---\n\n# Was ich anders machen würde als bisher\n\nWichtigster Punkt:\n\n## Laborwerte nie direkt aus OCR final übernehmen\n\nStattdessen:\n\n1. OCR/Docling extrahiert\n2. Werte gehen in Staging\n3. Korrektur-XLSX geht in Drive\n4. du prüfst\n5. ich lese Korrekturen ein\n6. erst dann Master-Datenbank\n\nDas ist robust und nachvollziehbar.\n\n## Zweiter Punkt: Erkenntnisse müssen sichtbar werden\n\nNicht nur Daten sammeln.\n\nJede neue Information sollte eine von drei Folgen haben:\n\n- **Dashboard aktualisiert**\n- **Bericht erstellt**\n- **Benachrichtigung/Handlungsempfehlung erzeugt**\n\nSonst wird es ein Datenfriedhof. Und Datenfriedhöfe sind zwar ruhig, aber selten hilfreich.\n\n---\n\n# Meine Empfehlung zum finalen Workflow\n\n## Für neue Laborberichte\n\n1. Du sendest Laborbericht per:\n   - E-Mail\n   - Telegram\n   - Drive Inbox\n\n2. Ich erkenne:\n   - neuer Laborbericht\n\n3. Ich extrahiere:\n   - Volltext\n   - Laborwerte\n   - Datum\n   - Quelle\n   - Referenzbereiche\n\n4. Ich erstelle:\n   - Korrektur-XLSX in Google Drive\n   - kurze Telegram-Meldung\n\n5. Du prüfst/korrigierst.\n\n6. Du schreibst:\n   - „Korrekturen übernehmen“\n\n7. Ich:\n   - lese Korrektur-XLSX\n   - übernehme validierte Werte\n   - aktualisiere Datenbank\n   - aktualisiere `aktuelle_blutwerte.xlsx`\n   - aktualisiere Dashboard\n   - melde Zusammenfassung\n\n---\n\n## Für neue Untersuchungs-/Arztberichte\n\n1. Du sendest Bericht.\n2. Ich extrahiere Volltext.\n3. Ich fasse zusammen:\n   - Diagnose\n   - Befund\n   - Empfehlung\n   - Medikamente\n   - Follow-up\n   - offene Fragen\n4. Ich speichere strukturiert.\n5. Ich aktualisiere Verlauf und Dashboard.\n6. Ich melde dir:\n   - Kurzfassung\n   - wichtige Änderungen\n   - vorgeschlagene Arztfragen\n\n---\n\n## Für tägliche Gesundheitsdaten/YAZIO\n\n1. Daten werden automatisch geholt/eingelesen.\n2. Ich aggregiere Tageswerte.\n3. Ich vergleiche mit:\n   - Symptomen\n   - Schlaf/HRV/Aktivität\n   - Labortrends\n   - Ernährungsstrategie\n4. Ich berichte nur, wenn etwas Relevantes vorliegt — sonst kein Spam.\n\n---\n\n# Ja: Dashboard + automatisierte Berichte\n\nMeine klare Empfehlung:\n\n## Minimal viable System\n\n- `aktuelle_blutwerte.xlsx`\n- `health_dashboard.html`\n- Telegram-Verarbeitungsmeldungen\n- wöchentlicher Gesundheitsbericht\n\n## Danach Ausbau\n\n- interaktives Dashboard\n- Korrelationen\n- Monatsbericht\n- Arztgespräch-Export\n- Warn-/Auffälligkeitslogik\n- Google Drive Korrektur-Workflow\n\n---\n\n# Fazit\n\nDeine Idee ist sehr gut und aus meiner Sicht genau richtig:\n\n- mehrere Eingangskanäle\n- automatische Extraktion\n- 4-Augen-Korrektur\n- validierte Master-Datenbank\n- sichtbare Dashboards\n- automatisierte Reports\n- Korrelationen über Ernährung, Labor, Symptome und Gesundheitsdaten\n\nIch würde als nächstes nicht direkt „noch mehr analysieren“, sondern zuerst die **Datenpipeline vertrauenswürdig machen**. Danach werden die Korrelationen wesentlich belastbarer.\n\nMeine empfohlene nächste konkrete Umsetzung wäre:\n\n1. **Google Drive Korrektur-Ordner definieren/anlegen**\n2. **Staging-Tabelle für Laborwerte erstellen**\n3. **Korrektur-XLSX-Workflow bauen**\n4. **`generate_labor_report.py` reparieren**\n5. **Dashboard v1 erzeugen**\n6. **Wochenbericht automatisieren**\n\nDann haben wir aus der bisherigen Ablage ein echtes Gesundheitsmanagement-System — mit dir als Kontrollinstanz und mir als pedantischem, leicht überqualifiziertem Butler für medizinische Daten."}], "id": "msg_0472ea9c97f46fa1016a0328f8582081919fc2741382dc9f6d", "phase": "final_answer"}], "timestamp": "2026-05-12T15:22:24.277321"}
{"role": "user", "content": "sehr gut. bitte setze das um.", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAytjhuJKdHGj5Yny-fSHy767ULxMzKPJnfcPIwHw2Zj3VdLuNAPl2zgTH5ODkF_OG1wvbiLC-JFxdkFome-OpTupPbCrcbFGi1cxeGCHgA8L2k71AJXCyzUNKj8z-IQSoD3aV_ckmir4ZNsiPAG5ahIyFUOAtCVoPsdZCO9RGzTwAVEFGzK4TM6Fbe0joLzTgvQh4b9ViK6C27SR-PS_tfVyI1zj49p1ISCiE81ntD2g3MwSM2BafflzPFXnjo2uSw-fTlOA1gkUSk34FH0ltkMn_51pGTVb3G7V4qtdnCZRPR1N-2nYWZDnSqhv9ORQ6Zbsluiuvv5uoC7uKLFqs154xExm_HKVPHCRjQgL8JiedOiQyYO7l-Sx0yKzpFwBpaywbSUZYBHW2drZEBwlNO-MZkD-f6Bql4g3MNSLuBktvQGZK1KmOYt_itEWIJQMqBMN_fDNZktCvrA_1HuIB6JcKEXLyEihCVzKQxcRvdJLnvW2ItczcI9PAkCMk3eqcrO6YHO9GXXtRVtgOGrHc0WtxOVSR3HrugwPJa0MqdUxFO__ExVEOK83ZyZEeU8D3nKQsBxkHDdh5nb8SyhscVnnkZ7NT9nwob3b0CJyiY6pBlnhqlx10o-me2P0JaNGlW5wSQZSguYUheztF_QWbT4Lp7TVfrIFGg38IgBRAjT_Zp2TVyGisJtVY6KwuNbAjgugQq74Z78U6gkvmi8OdTh7ni6DaOMSxXVuIWksvG_rCxrr09_Y0ks-VonqHWZ8COXtbfvRni-zpHAOg3V_D3KzAcx_qP5idISV_78McJYWKpPwicbqtd7Kiu0J2g3DjaSjpnBHLQSPGdmqHd2hvxgel0Iq0TR4WOYAW0-W5IGgtoLiI3VGkdwWM5jL_stIixMpnOTqXMJTbgd8w3WUSdKi5g3u-nmNt3pNKXoQeHGspgw6PCWBbdsbhNCtGexoNLVvS5x7rjWKvwVyA0GnM9oAczePaB1QF9qhquiAvNdQJNlImdHTPLVB4mzeFde1xFNlioKjHXxFLQhNmRrhB99ySEOl8ksucVyaDViI3mwRjj4pdHFa9V1dgMNln6ZW9if9ttpQIEDPnC5783Ol6Nd9HK1QNDZVWHviA5YkqM76C7kdlBlMR672xqj1u9_tJKBr6b1O3MIVlL5u2Mijft9S5uAUhbxSm9Svot26tAhjumql7blid1bkhOPhjKFyxqzjRnODWumAiYD3OFC41SmeUgh2HKJxwZJ6HaBQdqC619ocEop0-QWvGO2g8NZ4bkApy7okciBHALQmDPqgD-zKhA563tD4y47xEvei8joUq_LqWdCMcOFzZSsMcA-7u6tlLO1z_08ensvHwty3Ctd_tXmPPFJll-gXLHJocbuhiU6rqS3M5AaqU_e0JDTU_nGauq6bwBZ26d-e7l0-mD8eGCp-zFbAVxCY6EGcL36S5Z_pr_1F9zCp5EBfbvf4RXe2", "id": "rs_007e14edb140c6e0016a032b5d91f88191838eb115ef62a506", "summary": []}], "tool_calls": [{"id": "call_B7NVtpupu6ZU4aPAeH9PUmjV", "call_id": "call_B7NVtpupu6ZU4aPAeH9PUmjV", "response_item_id": "fc_007e14edb140c6e0016a032b6317dc81918d2f78fa84515dfd", "type": "function", "function": {"name": "skill_view", "arguments": "{\"name\":\"gog\"}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"gog\", \"description\": \"Google Workspace CLI for Gmail, Calendar, Drive, Contacts, Sheets, and Docs.\", \"tags\": [], \"related_skills\": [], \"content\": \"---\\nname: gog\\ndescription: Google Workspace CLI for Gmail, Calendar, Drive, Contacts, Sheets, and Docs.\\nhomepage: https://gogcli.sh\\nmetadata: {\\\"clawdbot\\\":{\\\"emoji\\\":\\\"🎮\\\",\\\"requires\\\":{\\\"bins\\\":[\\\"gog\\\"]},\\\"install\\\":[{\\\"id\\\":\\\"brew\\\",\\\"kind\\\":\\\"brew\\\",\\\"formula\\\":\\\"steipete/tap/gogcli\\\",\\\"bins\\\":[\\\"gog\\\"],\\\"label\\\":\\\"Install gog (brew)\\\"}]}}\\n---\\n\\n# gog\\n\\nUse `gog` for Gmail/Calendar/Drive/Contacts/Sheets/Docs. Requires OAuth setup.\\n\\n**Pitfall — command name:** The correct command is `gog`, NOT `openclaw gog`. `openclaw gog` fails with `Unknown command: openclaw gog`. Always use `gog` directly in the terminal.\\n\\nSetup (once)\\n- `gog auth credentials /path/to/client_secret.json`\\n- `gog auth add you@gmail.com --services gmail,calendar,drive,contacts,sheets,docs`\\n- `gog auth list`\\n\\nCommon commands\\n- Gmail search: `gog gmail search 'newer_than:7d' --max 10`\\n- Gmail messages search: `gog gmail messages search 'is:unread' --max 10 --json` (message-level, not thread-level)\\n- Gmail get full message: `gog gmail get <messageId> --json --format full` (returns body, attachments, headers)\\n- Gmail send: `gog gmail send --to a@b.com --subject \\\"Hi\\\" --body \\\"Hello\\\"`\\n- Gmail mark-read: `gog gmail mark-read <messageId>`\\n- Gmail mark-unread: `gog gmail unread <messageId>`\\n- Gmail trash: `gog gmail trash <messageId>`\\n- Gmail forward: `gog gmail forward --to <recipient> <messageId>`\\n## Calendar Events — Create: `gog calendar create <calendarId> --from <RFC3339> --to <RFC3339> --summary <title> --all-day`\\n\\n- **Command is `gog calendar create <calendarId>`, NOT `gog calendar events create`** — `events create` does not exist; `create` is a top-level subcommand under `calendar`.\\n- **Timed events require full RFC3339 with timezone offset** (e.g. `2026-05-10T14:00:00+02:00`). Plain `YYYY-MM-DDTHH:MM:SS` (no offset) fails with `Missing time zone definition for start time`.\\n- **All-day events**: Use date-only format (`YYYY-MM-DD`) + `--all-day` flag. No timezone needed.\\n- **Supported flags**: `--summary`, `--from`, `--to`, `--description`, `--location`, `--attendees`, `--all-day`, `--rrule`, `--reminder`, `--event-color`, `--visibility`, `--transparency`, `--with-meet`, `--send-updates`.\\n- **Event color IDs**: 1–11, use `gog calendar colors` to list.\\n- **Reminders**: Format `method:duration` (e.g. `popup:30m, email:1d`), max 5, can repeat.\\n\\n## Calendar Events — Query: `gog calendar events <calendarId> --from YYYY-MM-DD --to YYYY-MM-DD --json`\\n- Drive search: `gog drive search \\\"query\\\" --max 10`\\n- Contacts: `gog contacts list --max 20`\\n- Sheets get: `gog sheets get <sheetId> \\\"Tab!A1:D10\\\" --json`\\n- Sheets update: `gog sheets update <sheetId> \\\"Tab!A1:B2\\\" --values-json '[[\\\"A\\\",\\\"B\\\"],[\\\"1\\\",\\\"2\\\"]]' --input USER_ENTERED`\\n- Sheets append: `gog sheets append <sheetId> \\\"Tab!A:C\\\" --values-json '[[\\\"x\\\",\\\"y\\\",\\\"z\\\"]]' --insert INSERT_ROWS`\\n- Sheets clear: `gog sheets clear <sheetId> \\\"Tab!A2:Z\\\"`\\n- Sheets metadata: `gog sheets metadata <sheetId> --json`\\n- Docs export: `gog docs export <docId> --format txt --out /tmp/doc.txt`\\n- Docs cat: `gog docs cat <docId>`\\n\\n## Gmail — Pitfalls & Tips\\n\\n- **`gog gmail search` returns THREADS, not messages.** Use `gog gmail messages search` for message-level results. Thread IDs ≠ message IDs.\\n- **`gog gmail search` output is tabular by default.** Always append `-j` (or `--json`) to get parseable JSON. Without it, output is a formatted table that cannot be parsed as JSON.\\n- **`gog gmail get <messageId>`** is the correct way to retrieve full message content (body, attachments, headers). The `--format full` flag returns complete JSON. Use `--format metadata` for headers only.\\n- **`gog gmail get` also needs `-j` for JSON output.** Without `-j`, the output is a formatted table.\\n- **`--fields` is fragile**: The Google Calendar API rejects shorthand field names like `start`/`end`. Use full names (`startDateTime`, `endDateTime`) or skip `--fields` entirely and parse the default output. In practice, skipping `--fields` is often safer.\\n- **All-day events**: Show as date-only (`2026-05-07` → `2026-05-08`), not as timestamps. Treat these as spanning the full day.\\n- **Timezone handling**: Events from imported Outlook calendars may use UTC. Always convert to local time (Europe/Zurich) for display.\\n- **Multiple calendars**: Use `gog calendar calendars` to discover all available calendar IDs, then query each with `gog calendar events <calendarId> --tomorrow`.\\n- **`--tomorrow` flag**: Uses the system's timezone-aware \\\"tomorrow\\\". No need to construct ISO dates manually.\\n- **`gog calendar list` returns events, not calendars**: The `list` subcommand actually queries events (not calendar definitions). Use `gog calendar calendars` to list calendar metadata (IDs, summaries, access roles).\\n- **`gog calendar events` without calendarId queries ALL calendars**: `gog calendar events --from YYYY-MM-DD --to YYYY-MM-DD --json` returns events from all subscribed calendars. No calendar ID needed for multi-calendar queries.\\n- **Date format for `--from/--to`**: Use `YYYY-MM-DD` format (e.g., `2026-05-08`), NOT ISO timestamps. The CLI parses these as local dates.\\n- **`gog calendar list --max N` returns events**, not calendars. To list calendars: `gog calendar calendars --json`.\\n\\n## Drive File Operations\\n\\n### Move/Rename Files\\n- **Move to folder:** `gog drive move <fileId> --parent <new_folder_id>` — `--parent` is the REQUIRED flag (NOT `--to` or `--id`).\\n- **Download:** `gog drive download <fileId>` — saves to `~/.config/gogcli/` with auto-generated filename. Must manually rename and move to target directory.\\n- **Upload to folder:** First create the folder with `gog drive create --mime \\\"application/vnd.google-apps.folder\\\" --name \\\"FolderName\\\"`, then get its ID from the output, then `gog drive upload <local_path> --parent <folder_id>`.\\n- **Upload:** `gog drive upload <local_path> --parent <folder_id>`\\n- **Delete:** `gog drive delete <fileId>`\\n\\n### Listing Files\\n- **Root only:** `gog drive ls` (no flags)\\n- **Subfolder:** `gog drive ls --parent <folder_id> --json` — `--folder` does NOT exist, use `--parent`\\n- **JSON output:** Always use `--json` for scripting. Use `--plain` for stable parseable text.\\n\\n### Pitfalls\\n- **`GOG_KEYRING_PASSWORD`**: Must be set as env var for every gog command that needs auth. Without it: `no TTY available for keyring file backend password prompt`.\\n- **`--parent` not `--to`**: `gog drive move` uses `--parent <folder_id>`, NOT `--to`. `--to` is unknown flag.\\n- **Download saves to `~/.config/gogcli/`**: File has auto-generated name. Must rename manually.\\n- **`--json` for scripting**: Always use `--json` for machine-parseable output. `--plain` for stable text output.\\n- **`--no-input`**: Always pass to fail fast on interactive prompts in scripts.\\n\\n## Keyring / Authentication\\n\\n- Set `GOG_KEYRING_PASSWORD` as an environment variable to avoid TTY prompts when gog needs to read tokens from the keyring backend. Without it: `no TTY available for keyring file backend password prompt`.\\n- For scripting, always pass `--no-input` to fail fast instead of hanging on interactive prompts.\\n\\n## Cron / Scripting Environment Pitfalls\\n\\nWhen running `gog` commands from cron or non-interactive scripts, the environment is minimal and `gog` will fail with `resolve user config dir: neither $XDG_CONFIG_HOME nor $HOME are defined`. **Always set these env vars** in your subprocess call:\\n\\n```python\\nenv = {\\n    \\\"GOG_KEYRING_PASSWORD\\\": \\\"your_password\\\",\\n    \\\"HOME\\\": \\\"/home/agent\\\",\\n    \\\"XDG_CONFIG_HOME\\\": \\\"/home/agent/.config\\\",\\n}\\n```\\n\\n- `HOME` → `/home/agent` (where gog stores credentials under `~/.config/gogcli/`)\\n- `XDG_CONFIG_HOME` → `/home/agent/.config` (gog looks here for config)\\n- `GOG_KEYRING_PASSWORD` → from your keyring (required for OAuth token access)\\n\\nNotes\\n- Set `GOG_ACCOUNT=you@gmail.com` to avoid repeating `--account`.\\n- For scripting, prefer `--json` plus `--no-input`.\\n- Sheets values can be passed via `--values-json` (recommended) or as inline rows.\\n- Docs supports export/cat/copy. In-place edits require a Docs API client (not in gog).\\n- Confirm before sending mail or creating events.\\n\\n## References\\n\\n- `references/gmail-command-reference.md` — Full Gmail command reference (search, get, messages, attachments)\\n- `references/gmail-inbox-review-pattern.md` — Cron-job inbox review workflow and output format\\n- `references/calendar-command-quirks.md` — Calendar query quirks (list vs calendars, date formats)\\n- `references/calendar-create-event-notes.md` — Calendar event creation: pitfalls, flags, event types\\n- `references/gog-cron-environment.md` — Cron environment setup: HOME, XDG_CONFIG_HOME, GOG_KEYRING_PASSWORD\\n\", \"path\": \"openclaw-imports/gog/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/openclaw-imports/gog\", \"linked_files\": {\"references\": [\"references/calendar-command-quirks.md\", \"references/calendar-create-event-notes.md\", \"references/gog-cron-environment.md\", \"references/gmail-inbox-review-pattern.md\", \"references/gmail-command-reference.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\", \"metadata\": {\"clawdbot\": {\"emoji\": \"🎮\", \"requires\": {\"bins\": [\"gog\"]}, \"install\": [{\"id\": \"brew\", \"kind\": \"brew\", \"formula\": \"steipete/tap/gogcli\", \"bins\": [\"gog\"], \"label\": \"Install gog (brew)\"}]}}}", "tool_call_id": "call_B7NVtpupu6ZU4aPAeH9PUmjV", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_wQGZcSpiiP9venwrMcIWffhY", "call_id": "call_wQGZcSpiiP9venwrMcIWffhY", "response_item_id": "fc_0242f990243aede5016a032b6543588191ba891ba729891bbc", "type": "function", "function": {"name": "skill_view", "arguments": "{\"name\":\"cronjob\"}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"cronjob\", \"description\": \"Scheduling and managing recurring tasks via Hermes cron. Covers schedule formats, job creation, execution patterns, and best practices.\", \"tags\": [\"cron\", \"scheduling\", \"automation\", \"recurring\"], \"related_skills\": [], \"content\": \"---\\nname: cronjob\\ndescription: \\\"Scheduling and managing recurring tasks via Hermes cron. Covers schedule formats, job creation, execution patterns, and best practices.\\\"\\nversion: 1.0.0\\nauthor: Hermes Agent\\nlicense: MIT\\nmetadata:\\n  hermes:\\n    tags: [cron, scheduling, automation, recurring]\\n---\\n\\n# Cron Job Management\\n\\nManage recurring scheduled tasks in Hermes via the cron system. Drive via the `cronjob` tool, the `hermes cron` CLI, or the `/cron` slash command.\\n\\n## When to Use\\n\\n- **Recurring data collection:** Weather checks, inbox monitoring, system health checks\\n- **Scheduled briefings:** Daily morning briefings, weekly reports\\n- **Periodic maintenance:** Log rotation, database cleanup, cache invalidation\\n- **Time-based triggers:** Reminders, check-ins, automated notifications\\n\\n## Schedule Formats\\n\\n### Interval-based (recommended for simple recurring tasks)\\n```\\nevery 2h       # Every 2 hours\\nevery 30m      # Every 30 minutes\\ndaily          # Once per day\\nweekly         # Once per week\\n```\\n\\n### Standard cron (5-field)\\n```\\n0 5 * * *     # Daily at 05:00\\n0 9 * * 1     # Every Monday at 09:00\\n```\\n\\n## Important Notes\\n\\n- **Range syntax like `07-19 * * *` is NOT supported.** Hermes cron does not parse range expressions. Use interval-based syntax instead.\\n- **Timezone:** Cron schedules use `Europe/Berlin` (UTC+2 summer, UTC+1 winter) by default.\\n- **Next run calculation:** Hermes calculates the next run time based on the current timezone.\\n\\n## Job Structure\\n\\nEach cron job has:\\n- `job_id`: Unique identifier\\n- `prompt`: The instruction template\\n- `schedule`: Cron expression or interval\\n- `repeat`: Number of times to repeat\\n- `deliver`: Delivery target (e.g., `origin` for Telegram)\\n- `model`: Model to use for LLM-based jobs\\n- `enabled`: Boolean state\\n\\n## Best Practices\\n\\n1. **Use scripts for complex jobs:** Write a Python script in `~/.hermes/scripts/` and invoke it from the cron prompt.\\n2. **Use interval syntax for regular checks:** `every 2h` is simpler and more reliable than complex cron expressions.\\n3. **Use cron syntax for specific times:** `0 5 * * *` for \\\"daily at 05:00\\\". Multiple times: `0 9,21 * * *` for 09:00 and 21:00.\\n4. **Test with `hermes cron run <job_id>`** before relying on scheduled execution.\\n5. **Monitor with `hermes cron list`** to verify next run times.\\n- **Cron create requires `schedule` parameter:** When creating jobs, always provide a valid `schedule` field (cron expression like `0 9,21 * * *` or interval like `every 2h`). The `schedule` field is mandatory for `cronjob` create action.\\n- **Script paths must be relative to `~/.hermes/scripts/`:** Pass just the filename (e.g. `yazio_sync.py`), NOT the full path. The cron system resolves relative to `~/.hermes/scripts/`.\\n\\n## Conditional Execution Pattern\\n\\nFor jobs that should only run when certain conditions are met (e.g., only when data exists):\\n\\n```python\\n# Im Cron-Prompt:\\n1. Prüfe Bedingung (z.B. DB-Einträge für heute)\\n2. Wenn 0 Einträge → silent exit (keine Antwort)\\n3. Wenn Einträge vorhanden → führe Aufgabe aus\\n```\\n\\n**Beispiel:** Täglicher Ernährungsstrategie-Check — prüft ob Ernährungseinträge existieren, erstellt nur bei Vorhandensein einen Bericht.\\n\\n**Vorteil:** Kein Spam wenn User nichts einträgt. Nur relevante Berichte.\\n\\n## OpenClaw vs Hermes Config\\n\\n- **OpenClaw** (`~/.openclaw/`) und **Hermes** (`~/.hermes/`) haben getrennte Configs\\n- `openclaw config get/set` liest/schreibt OpenClaw Config\\n- `hermes config get/set` liest/schreibt Hermes Config\\n- **STT/TTS Config** liegt in `~/.hermes/config.yaml` — verwende `hermes config` oder direkte YAML-Editierung\\n- **Gateway-Neustart:** `openclaw gateway restart` (OpenClaw Gateway)\\n- **Config-Persistenz:** YAML-Editionen via Python können stillschweigend fehlschlagen — immer mit separatem Read-Back verifizieren\\n\\n## Linked Resources\\n\\n- `references/cron-scheduling-patterns.md` — Schedule format examples and use cases from sessions.\\n- `references/morning-briefing-delivery.md` — Pattern for delivering cron-generated briefings to Telegram (token discovery, MarkdownV2 escaping).\\n\", \"path\": \"cronjob/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/cronjob\", \"linked_files\": {\"references\": [\"references/morning-briefing-delivery.md\", \"references/cron-scheduling-patterns.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\", \"metadata\": {\"hermes\": {\"tags\": [\"cron\", \"scheduling\", \"automation\", \"recurring\"]}}}", "tool_call_id": "call_wQGZcSpiiP9venwrMcIWffhY", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_2N2o0oOr1ZuMRexAORmijf4W", "call_id": "call_2N2o0oOr1ZuMRexAORmijf4W", "response_item_id": "fc_003a6dad55cd7a45016a032b67e1d08191b117f7a68cf07169", "type": "function", "function": {"name": "todo", "arguments": "{\"todos\":[{\"id\":\"t1\",\"content\":\"Ist-Zustand, Tabellen und existierende Automationen prüfen\",\"status\":\"in_progress\"},{\"id\":\"t2\",\"content\":\"DB-Migration für Staging/Review/Insights/Reports entwerfen und anwenden\",\"status\":\"pending\"},{\"id\":\"t3\",\"content\":\"Health-Pipeline-Skript für Intake, Labor-Korrektur-XLSX, Dashboard und Berichte erstellen\",\"status\":\"pending\"},{\"id\":\"t4\",\"content\":\"Laborreport-Skript reparieren/ersetzen und Output verifizieren\",\"status\":\"pending\"},{\"id\":\"t5\",\"content\":\"Google-Drive-Korrekturordner und Upload-Workflow vorbereiten\",\"status\":\"pending\"},{\"id\":\"t6\",\"content\":\"Cron-Jobs für Intake-Sync und Berichte anlegen/testen\",\"status\":\"pending\"},{\"id\":\"t7\",\"content\":\"Dokumentation/Skill aktualisieren und Abschlussbericht liefern\",\"status\":\"pending\"}]}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"t1\", \"content\": \"Ist-Zustand, Tabellen und existierende Automationen prüfen\", \"status\": \"in_progress\"}, {\"id\": \"t2\", \"content\": \"DB-Migration für Staging/Review/Insights/Reports entwerfen und anwenden\", \"status\": \"pending\"}, {\"id\": \"t3\", \"content\": \"Health-Pipeline-Skript für Intake, Labor-Korrektur-XLSX, Dashboard und Berichte erstellen\", \"status\": \"pending\"}, {\"id\": \"t4\", \"content\": \"Laborreport-Skript reparieren/ersetzen und Output verifizieren\", \"status\": \"pending\"}, {\"id\": \"t5\", \"content\": \"Google-Drive-Korrekturordner und Upload-Workflow vorbereiten\", \"status\": \"pending\"}, {\"id\": \"t6\", \"content\": \"Cron-Jobs für Intake-Sync und Berichte anlegen/testen\", \"status\": \"pending\"}, {\"id\": \"t7\", \"content\": \"Dokumentation/Skill aktualisieren und Abschlussbericht liefern\", \"status\": \"pending\"}], \"summary\": {\"total\": 7, \"pending\": 6, \"in_progress\": 1, \"completed\": 0, \"cancelled\": 0}}", "tool_call_id": "call_2N2o0oOr1ZuMRexAORmijf4W", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": "**Inspecting scripts and cron jobs**\n\nI need to check out the current scripts and cron jobs, which might involve using the terminal. I’m thinking this could be straightforward, but I want to make sure I’m not missing any crucial details. Maybe I’ll need to look at the cron configuration files as well. It'll help me understand what tasks are scheduled to run and ensure everything is functioning properly. Overall, I'm just trying to get it right!", "finish_reason": "tool_calls", "reasoning_content": "**Inspecting scripts and cron jobs**\n\nI need to check out the current scripts and cron jobs, which might involve using the terminal. I’m thinking this could be straightforward, but I want to make sure I’m not missing any crucial details. Maybe I’ll need to look at the cron configuration files as well. It'll help me understand what tasks are scheduled to run and ensure everything is functioning properly. Overall, I'm just trying to get it right!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAyt1PTkD6fP5rbMOFH7ZHd6iMA7mTrJpc2OusOvzGLjTSiepYZi25_J6ZfNCkIykNsNNlVkYuQfRRGbBCasRyqK2t4BCWeQd0tburUChZYzl-1nQFx48zCi6pPe92nHUwmVhJNQZa14H5C7AC0wfBWzK3kdS2OKMeJSP5092kI94liGARRkMopVqON1nJG1espXPfGWPsRHhU3JCjhgpIPrRUZY5UoTAPEZpMOkFrQ8dtf2WsxSCA4peD6nJqaUHdIwc_OqVLEbSa0BTvkAsTgtNq_aSdEvEzeG9edjRU-njxygBTGYGq3D-ooPvuR4DgMUZ0qig0ZI2WPjS3hPopMt1iOtOHjtoD-MadAPeklcgDLgLzNiq7IiNmC71CFPfXXr5FCr9eIB9rkJYat36mwHDY1FfccRcxlCuF_uNOADBF2QrDx86mzFqYwVQEMu4G9klscwMzPqNux1-p3o6qlk7TcVWH9g8ivOG_MdVDRaBEYKs3GL72GQ-3B-wIy7apik8zRTUDz79Ipya3XKvvL466TkxP0qBBgCVwDqrfwqL49MFOYe0czOrPCsjQk4qeQ9K3NOi06-1VJSITDv_QHeju9g6foMpfTNfkJmVUkg08CQ4fw8gPimZeOnKyctoBg4jOiAPYxZogt6OyAbl7HWKTlV-HIRT66rGa2z61tcyQKvlAAMtIF1fGf4ypeNzXHu57IBddITntOV6kIwR89mwvbUv7DyCBgZunOKxnz4_kQkejv7nmVIC1bUiYZF6U_hIYrr_7pRp2bkfH2H0wSkEP87cdYujREehoLocV8BIi66nVaAXwJmzJBhVPMONZUebHmeNL4bYUjAgzde5Nk1WqFTc41xSS1UpQ16qyqodiVcIF83pMFWwQnyyZq1pUIRDzfs4dH-8may9s1jtVgdRj1iABLQTM63jHXPd2k6ORYJKwmTdiC88ET9ACYs8lV7MO0Kq7bX9pMhW3vnZ397e-IaiLADuwcSSq0unJiQY1Q4=", "id": "rs_0c464a741ff4a135016a032b726db88191a88420ef24f96497", "summary": [{"type": "summary_text", "text": "**Inspecting scripts and cron jobs**\n\nI need to check out the current scripts and cron jobs, which might involve using the terminal. I’m thinking this could be straightforward, but I want to make sure I’m not missing any crucial details. Maybe I’ll need to look at the cron configuration files as well. It'll help me understand what tasks are scheduled to run and ensure everything is functioning properly. Overall, I'm just trying to get it right!"}]}], "tool_calls": [{"id": "call_ShiBOLhPF7QMcuhXUo6qcpx3", "call_id": "call_ShiBOLhPF7QMcuhXUo6qcpx3", "response_item_id": "fc_0c464a741ff4a135016a032b75dde08191b0a4ca73ae8f63d1", "type": "function", "function": {"name": "execute_code", "arguments": "{\"code\":\"from hermes_tools import terminal\\ncmd = r'''\\nset -e\\nBASE=\\\"$HOME/.hermes/assets/Gesundheit\\\"\\nprintf 'BASE=%s\\\\n' \\\"$BASE\\\"\\nprintf '\\\\n-- files scripts --\\\\n'\\npython3 - <<'PY'\\nimport os, time, glob\\nbase=os.path.expanduser('~/.hermes/assets/Gesundheit')\\nfor p in sorted(glob.glob(base+'/scripts/*')):\\n st=os.stat(p); print(os.path.basename(p), st.st_size, time.strftime('%F %T', time.localtime(st.st_mtime)))\\nPY\\nprintf '\\\\n-- cron list --\\\\n'\\nhermes cron list || true\\nprintf '\\\\n-- gog auth --\\\\n'\\nGOG_KEYRING_PASSWORD='LammBitch30' HOME=/home/agent XDG_CONFIG_HOME=/home/agent/.config gog auth list --json --no-input || true\\nprintf '\\\\n-- drive relevant root/search --\\\\n'\\nGOG_KEYRING_PASSWORD='LammBitch30' HOME=/home/agent XDG_CONFIG_HOME=/home/agent/.config gog drive ls --json --no-input | head -c 4000 || true\\n'''\\nres=terminal(cmd, timeout=180)\\nprint(res['output'])\\nprint('EXIT', res['exit_code'])\"}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"BASE=/home/agent/.hermes/assets/Gesundheit\\n\\n-- files scripts --\\nanalyze_document.py 4399 2026-05-08 08:06:45\\ngenerate_labor_report.py 11361 2026-05-12 09:14:06\\nhealth_manager.py 25884 2026-05-08 15:52:51\\nhealth_watchdog.py 3162 2026-05-08 14:06:26\\nhealth_watchdog.service 388 2026-05-08 14:07:11\\nhealth_watchdog.sh 1406 2026-05-08 14:10:29\\nimport_existing_docs.py 3076 2026-05-08 11:37:22\\ninit_db.py 3397 2026-05-08 08:06:45\\ntest_pdf.py 457 2026-05-08 12:05:10\\nverify_system.py 3096 2026-05-08 14:08:52\\n\\n-- cron list --\\n\\n┌─────────────────────────────────────────────────────────────────────────┐\\n│                         Scheduled Jobs                                  │\\n└─────────────────────────────────────────────────────────────────────────┘\\n\\n  847bdbc26edf [active]\\n    Name:      Morgen-Briefing\\n    Schedule:  0 5 * * *\\n    Repeat:    4/365\\n    Next run:  2026-05-13T05:00:00+02:00\\n    Deliver:   origin\\n    Last run:  2026-05-12T05:06:49.075201+02:00  ok\\n\\n  e2150e5d908d [active]\\n    Name:      Gesundheitsdaten Inbox Check\\n    Schedule:  0 9,21 * * *\\n    Repeat:    5/730\\n    Next run:  2026-05-12T21:00:00+02:00\\n    Deliver:   origin\\n    Last run:  2026-05-12T09:01:10.980724+02:00  error: RuntimeError: HTTP 503: Loading model\\n\\n  78a4dd51c834 [active]\\n    Name:      Täglicher Ernährungsstrategie-Check\\n    Schedule:  0 19 * * *\\n    Repeat:    ∞\\n    Next run:  2026-05-12T19:00:00+02:00\\n    Deliver:   origin\\n    Skills:    health-management\\n    Last run:  2026-05-11T19:01:26.317616+02:00  ok\\n\\n\\n-- gog auth --\\n{\\n  \\\"accounts\\\": [\\n    {\\n      \\\"email\\\": \\\"friday.uplink@gmail.com\\\",\\n      \\\"client\\\": \\\"default\\\",\\n      \\\"services\\\": [\\n        \\\"calendar\\\",\\n        \\\"gmail\\\"\\n      ],\\n      \\\"scopes\\\": [\\n        \\\"email\\\",\\n        \\\"https://www.googleapis.com/auth/calendar\\\",\\n        \\\"https://www.googleapis.com/auth/gmail.modify\\\",\\n        \\\"https://www.googleapis.com/auth/gmail.settings.basic\\\",\\n        \\\"https://www.googleapis.com/auth/gmail.settings.sharing\\\",\\n        \\\"https://www.googleapis.com/auth/userinfo.email\\\",\\n        \\\"openid\\\"\\n      ],\\n      \\\"created_at\\\": \\\"2026-05-01T16:19:54Z\\\",\\n      \\\"auth\\\": \\\"oauth\\\"\\n    }\\n  ]\\n}\\n\\n-- drive relevant root/search --\\n{\\n  \\\"files\\\": [\\n    {\\n      \\\"id\\\": \\\"1-PtNywRWjhAVhEjSDYR3kc2Bsln1mecW\\\",\\n      \\\"mimeType\\\": \\\"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet\\\",\\n      \\\"modifiedTime\\\": \\\"2026-05-10T08:11:12.746Z\\\",\\n      \\\"name\\\": \\\"laborwerte_260507.xlsx\\\",\\n      \\\"owners\\\": [\\n        {\\n          \\\"emailAddress\\\": \\\"friday.uplink@gmail.com\\\"\\n        }\\n      ],\\n      \\\"parents\\\": [\\n        \\\"0AP9m4P9rJ3ayUk9PVA\\\"\\n      ],\\n      \\\"size\\\": \\\"5687\\\",\\n      \\\"webViewLink\\\": \\\"https://docs.google.com/spreadsheets/d/1-PtNywRWjhAVhEjSDYR3kc2Bsln1mecW/edit?usp=drivesdk\\\\u0026ouid=107742912849201648496\\\\u0026rtpof=true\\\\u0026sd=true\\\"\\n    },\\n    {\\n      \\\"id\\\": \\\"1H2zXafzbaRobY8XDcPyRpZBE6mXeTcJe\\\",\\n      \\\"mimeType\\\": \\\"application/vnd.google-apps.folder\\\",\\n      \\\"modifiedTime\\\": \\\"2026-05-09T22:02:57.983Z\\\",\\n      \\\"name\\\": \\\"Archiv\\\",\\n      \\\"owners\\\": [\\n        {\\n          \\\"emailAddress\\\": \\\"friday.uplink@gmail.com\\\"\\n        }\\n      ],\\n      \\\"parents\\\": [\\n        \\\"0AP9m4P9rJ3ayUk9PVA\\\"\\n      ],\\n      \\\"webViewLink\\\": \\\"https://drive.google.com/drive/folders/1H2zXafzbaRobY8XDcPyRpZBE6mXeTcJe\\\"\\n    },\\n    {\\n      \\\"id\\\": \\\"1HOJXzIjJaUUoLGZgJjAR5V6ZCsOBsGgE\\\",\\n      \\\"mimeType\\\": \\\"application/vnd.google-apps.folder\\\",\\n      \\\"modifiedTime\\\": \\\"2026-05-09T21:35:29.908Z\\\",\\n      \\\"name\\\": \\\"Gesundheitsdaten Inbox\\\",\\n      \\\"owners\\\": [\\n        {\\n          \\\"emailAddress\\\": \\\"friday.uplink@gmail.com\\\"\\n        }\\n      ],\\n      \\\"parents\\\": [\\n        \\\"0AP9m4P9rJ3ayUk9PVA\\\"\\n      ],\\n      \\\"webViewLink\\\": \\\"https://drive.google.com/drive/folders/1HOJXzIjJaUUoLGZgJjAR5V6ZCsOBsGgE\\\"\\n    }\\n  ],\\n  \\\"nextPageToken\\\": \\\"\\\"\\n}\\nEXIT 0\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 8.03}", "tool_call_id": "call_ShiBOLhPF7QMcuhXUo6qcpx3", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": "**Figuring out calendar integration**\n\nI'm wondering about using only Gmail calendar without the Google Drive scopes. It's odd that the Drive ls command worked, even though my auth list is missing Drive permissions. Maybe Google supports this? Anyway, I need to create a folder for organization, and I'll have to implement this locally. It seems I also need to write some scripts and fully inspect the database schema to make sure I cover all my bases!", "finish_reason": "tool_calls", "reasoning_content": "**Figuring out calendar integration**\n\nI'm wondering about using only Gmail calendar without the Google Drive scopes. It's odd that the Drive ls command worked, even though my auth list is missing Drive permissions. Maybe Google supports this? Anyway, I need to create a folder for organization, and I'll have to implement this locally. It seems I also need to write some scripts and fully inspect the database schema to make sure I cover all my bases!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAyuKIsVpwJLUXCvmlrALRqUP6b2I487kC8aO6_KQvH3gnc4e-9-YpUza7aJeQr3sdSjEtcW6vcitWlG_1zTYGQ89_B-f6f5UOBUbrwh43ilhRyGT41X-xozAzC4O99Q24YiL9CPk_WNuuspfmel40GcfPQLhRIJiXr2nwDFUUeJjamlk0pxD7wVLiHX1-RJrQV3-u0QyV-knPlx8XdzxHQhPIeDqiD-MH_7JDf6zeAlHXGeMuezQ6G5C5ST5v9Sbav74-0i7H6Z8HtbSsuIF1Jez8TuQLRyqSjH2Kq-TG5-QasY8fwgbWrsCKbfNtOgNCSC8VFMQskHIw19ZTFoWL-laqEvuzqwL9htHB9cDJri48f-LkXk51P6lr6V8T6ZMlVp1YBIV-qLCx5rIWs_KipyQ9YxTiFbiPo516wStTbaUUJx4vel58-cm8vCeJH0ZMV_mrJWmn8NhXLSrTOob6oCtx1bYYfWRMclOazBgs10rIC-5x7lCmZi-Pk6F7illczZ-F8MVvqWfqZLFMATd_rnxKXgLGJAeoJcsdNI2oE9p7xsdYEwx64KtU7TxBCzWeaOmcyhely9lZYjYSzePeZu-OSX6Vv-0JEupR_ny_0LdlY4W8rPEX9Myd8fJl4M0-VrXQpCfWJ94r-FVuON8p1lO0m7v_NM9C6C25NrhpRyrhmL8F4m4AmGdhjODmRHT-LcO4OUDfwKPrS7OdZT8CP4_z33UDZ_yePIIJnHq6gy3x6JRt3f5PLaph_EA4Gtaj67jA7DKsGvAtAt_NKJiQ8HZK5IRb5tUYbJwiXfSStfD_HM1b_CBDK-SuRYI9gtYfMTb0r5xJjK_GJd33LjQHNwOGVyyUoSfBrPLDJusx280zssRfqxXsWB_LLao7yaSj4r1bpA1OWpte1ZilpRm6XWclvksedgOMBPbLcCNukvg5iaBNE2FfrzG19o9fGwCkh49oDGXA-UK7_OB8ZMdA9SC110riaxgU8v2x_uKPkUf3ETc462Da5JMzI5M18KfizJ1PTCtt2H9qOH3jqSsHjpip0T4YKW96Pezsnbx2E0OXYhSL0qZR3mEflDrW4G_frwkVn22m9WEXHD2PMN_vnc40EmdlVzktIlLeaSluyV85wANCwcTPfoPOflol76GOFwFYHz4AGa-2CQFyj7gDMbiKf0qpXihYkI7BwxcE6mbknvjwVsU5Gi--vKMKzomUVCU", "id": "rs_0e4603b16c1e3141016a032b879e688191831b5bc6604f9ff1", "summary": [{"type": "summary_text", "text": "**Figuring out calendar integration**\n\nI'm wondering about using only Gmail calendar without the Google Drive scopes. It's odd that the Drive ls command worked, even though my auth list is missing Drive permissions. Maybe Google supports this? Anyway, I need to create a folder for organization, and I'll have to implement this locally. It seems I also need to write some scripts and fully inspect the database schema to make sure I cover all my bases!"}]}], "tool_calls": [{"id": "call_0orp9hO33nL8p3PGiYb4EQ8D", "call_id": "call_0orp9hO33nL8p3PGiYb4EQ8D", "response_item_id": "fc_0e4603b16c1e3141016a032b8ad958819192e4a8d95ce22644", "type": "function", "function": {"name": "execute_code", "arguments": "{\"code\":\"from hermes_tools import terminal\\ncmd=r'''\\npython3 - <<'PY'\\nimport sqlite3, os, json\\ncon=sqlite3.connect(os.path.expanduser('~/.hermes/assets/Gesundheit/health_data.db')); con.row_factory=sqlite3.Row\\nfor t in ['dokumente','laborwerte','ernaehrung','tagebuch','symptome','health_events','medikamente']:\\n print('\\\\nTABLE',t)\\n for r in con.execute(f'pragma table_info({t})'): print(dict(r))\\nPY\\n'''\\nres=terminal(cmd, timeout=120)\\nprint(res['output'])\"}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"TABLE dokumente\\n{'cid': 0, 'name': 'id', 'type': 'INTEGER', 'notnull': 0, 'dflt_value': None, 'pk': 1}\\n{'cid': 1, 'name': 'datei_name', 'type': 'TEXT', 'notnull': 1, 'dflt_value': None, 'pk': 0}\\n{'cid': 2, 'name': 'dateipfad', 'type': 'TEXT', 'notnull': 1, 'dflt_value': None, 'pk': 0}\\n{'cid': 3, 'name': 'daten_typ', 'type': 'TEXT', 'notnull': 1, 'dflt_value': None, 'pk': 0}\\n{'cid': 4, 'name': 'upload_datum', 'type': 'TIMESTAMP', 'notnull': 0, 'dflt_value': 'CURRENT_TIMESTAMP', 'pk': 0}\\n{'cid': 5, 'name': 'groessekbytes', 'type': 'INTEGER', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 6, 'name': 'status', 'type': 'TEXT', 'notnull': 0, 'dflt_value': \\\"'neu'\\\", 'pk': 0}\\n{'cid': 7, 'name': 'verarbeite_datum', 'type': 'TIMESTAMP', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 8, 'name': 'extrahierte_inhalte', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 9, 'name': 'kategorie', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 10, 'name': 'datei_hash', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n\\nTABLE laborwerte\\n{'cid': 0, 'name': 'id', 'type': 'INTEGER', 'notnull': 0, 'dflt_value': None, 'pk': 1}\\n{'cid': 1, 'name': 'dokument_id', 'type': 'INTEGER', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 2, 'name': 'parameter_name', 'type': 'TEXT', 'notnull': 1, 'dflt_value': None, 'pk': 0}\\n{'cid': 3, 'name': 'wert', 'type': 'TEXT', 'notnull': 1, 'dflt_value': None, 'pk': 0}\\n{'cid': 4, 'name': 'einheit', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 5, 'name': 'reference_min', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 6, 'name': 'reference_max', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 7, 'name': 'einheiten', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 8, 'name': 'bemerking', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 9, 'name': 'ermittlung_datum', 'type': 'TIMESTAMP', 'notnull': 0, 'dflt_value': 'CURRENT_TIMESTAMP', 'pk': 0}\\n\\nTABLE ernaehrung\\n{'cid': 0, 'name': 'id', 'type': 'INTEGER', 'notnull': 0, 'dflt_value': None, 'pk': 1}\\n{'cid': 1, 'name': 'datum', 'type': 'TEXT', 'notnull': 1, 'dflt_value': None, 'pk': 0}\\n{'cid': 2, 'name': 'mahlzeit', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 3, 'name': 'beschreibung', 'type': 'TEXT', 'notnull': 1, 'dflt_value': None, 'pk': 0}\\n{'cid': 4, 'name': 'wirkung', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 5, 'name': 'notizen', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 6, 'name': 'created_at', 'type': 'TEXT', 'notnull': 0, 'dflt_value': \\\"datetime('now','localtime')\\\", 'pk': 0}\\n\\nTABLE tagebuch\\n{'cid': 0, 'name': 'id', 'type': 'INTEGER', 'notnull': 0, 'dflt_value': None, 'pk': 1}\\n{'cid': 1, 'name': 'datum', 'type': 'TEXT', 'notnull': 1, 'dflt_value': None, 'pk': 0}\\n{'cid': 2, 'name': 'kategori', 'type': 'TEXT', 'notnull': 1, 'dflt_value': None, 'pk': 0}\\n{'cid': 3, 'name': 'titel', 'type': 'TEXT', 'notnull': 1, 'dflt_value': None, 'pk': 0}\\n{'cid': 4, 'name': 'inhalt', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 5, 'name': 'wirkung', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 6, 'name': 'verknuepft', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 7, 'name': 'notizen', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 8, 'name': 'created_at', 'type': 'TEXT', 'notnull': 0, 'dflt_value': \\\"datetime('now','localtime')\\\", 'pk': 0}\\n\\nTABLE symptome\\n{'cid': 0, 'name': 'id', 'type': 'INTEGER', 'notnull': 0, 'dflt_value': None, 'pk': 1}\\n{'cid': 1, 'name': 'datum', 'type': 'TEXT', 'notnull': 1, 'dflt_value': None, 'pk': 0}\\n{'cid': 2, 'name': 'kategori', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 3, 'name': 'symptom', 'type': 'TEXT', 'notnull': 1, 'dflt_value': None, 'pk': 0}\\n{'cid': 4, 'name': 'schwergrad', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 5, 'name': 'wirkung', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 6, 'name': 'notizen', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 7, 'name': 'created_at', 'type': 'TEXT', 'notnull': 0, 'dflt_value': \\\"datetime('now','localtime')\\\", 'pk': 0}\\n\\nTABLE health_events\\n{'cid': 0, 'name': 'id', 'type': 'INTEGER', 'notnull': 0, 'dflt_value': None, 'pk': 1}\\n{'cid': 1, 'name': 'date', 'type': 'TEXT', 'notnull': 1, 'dflt_value': None, 'pk': 0}\\n{'cid': 2, 'name': 'category', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 3, 'name': 'parameter', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 4, 'name': 'value', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 5, 'name': 'unit', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 6, 'name': 'source', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 7, 'name': 'notes', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 8, 'name': 'created_at', 'type': 'TEXT', 'notnull': 0, 'dflt_value': \\\"datetime('now','localtime')\\\", 'pk': 0}\\n\\nTABLE medikamente\\n{'cid': 0, 'name': 'id', 'type': 'INTEGER', 'notnull': 0, 'dflt_value': None, 'pk': 1}\\n{'cid': 1, 'name': 'dokument_id', 'type': 'INTEGER', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 2, 'name': 'medikament_name', 'type': 'TEXT', 'notnull': 1, 'dflt_value': None, 'pk': 0}\\n{'cid': 3, 'name': 'dosierung', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 4, 'name': 'anwendungsform', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 5, 'name': 'erhaltungsform', 'type': 'TEXT', 'notnull': 0, 'dflt_value': None, 'pk': 0}\\n{'cid': 6, 'name': 'ermittlung_datum', 'type': 'TIMESTAMP', 'notnull': 0, 'dflt_value': 'CURRENT_TIMESTAMP', 'pk': 0}\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 0.41}", "tool_call_id": "call_0orp9hO33nL8p3PGiYb4EQ8D", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": "**Assessing implementation needs**\n\nI need to create a solid implementation, which could mean writing a script, possibly called health_pipeline.py, to handle migration and import an XLSX file into staging. To do this successfully, I want to get a better understanding of the XLSX structure first. I think there might be some quirks with the openpyxl read_only dimensions, so I might have to use the normal load method to inspect it thoroughly.", "finish_reason": "tool_calls", "reasoning_content": "**Assessing implementation needs**\n\nI need to create a solid implementation, which could mean writing a script, possibly called health_pipeline.py, to handle migration and import an XLSX file into staging. To do this successfully, I want to get a better understanding of the XLSX structure first. I think there might be some quirks with the openpyxl read_only dimensions, so I might have to use the normal load method to inspect it thoroughly.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAyuV5qoqkG_uyTvRHCyacPA-z3OWfiAUdR23vW86uL2iIWkMyQY0NVc3M90euRkf1PlkR63vH7-o8n_s_L7d78lBJe_biC_VB_afh0wAkWb2TWGOzevwUnCjIeDBNjdmf4MLJK0nkxEYGpvCj8vhKGV0BbO2ZFhajNMsNnb8WZ5WcEHNFRp2SgqxM-0q-SqSf12THH9NwQxcjAb78ioQborjY-B_eUehARBLhRCNY3p5z9iUppfDOMrlNH8ywgbKAvxJ-AHmH_jfXJ92w1tLRCxJphOCVLaCHTwCHqzR9tOXYHUlVRVb5e-KwG9jD1c9OR-0s8Ip0Mo4GTRPTWenznsd_zxfCI2mRFHhjHhg9cf6z9Ep5QuclF9Xicd5o9N06b0SqY_0Ira9tOXagZERMF5bG6lYrXIo6SOv4YNMZ5f-Y_fMuL2Y6erN51oL2VAkZBxUV2PlA120frnG6d4sh-EYnfn8zjV4XisEUu3koN4eE05SIljgN8EFXI7swVGZMBiGhE3AadIYWEzncJBNBe811dUndVFISQUQhZdK-Cnu-j1OZPuWv1OUi_q_Xr8-4MClj3Mr22NA7e8kp1eT2Yy2Qha6i27wnY_viKt1Zn6R6BHsj3SKcgNeh_d4SczMviJRB4n7vUjOScjib01jz0regz6i_ED6_AE_rNnIKTkvP6BdJ7S6j1NWfoo0HT5tG_w4zBZSr0di-7lW7G6hckJWZEYk2OzsNxq0A4gT6xJ7SbV3HmRV_dLPOx2cxNyvhH1zhu-ES1gaLZuDiji63ayeSkjB5Ie5vi6O8nsXjigoRf4kun_q9vM8aTmjdl5wQ0kQsFtwxo0BYTY6DILOwXkPrCBQDLZYyRJ2zk-yPtt_Yvwa5Uhvf4Iqwkzn305EY1H6XosU0PNbB04ZoXl7j24AoAak5st83LdPwzSnIFn64sDc0-m74n0BV4YFN1xbK8kUBhHddAS8H_mbhja10_hie1Eve2M77e0Wb_1ze0WRuxphM2gRFqO5A4yh7o49BBTIer1xAl6P1RWfdVvoSA_PUvJmShJ4QSJ8F9sFBpK8jT5Edo6a8lzCMZIYbcRn-YOT9S_3KhznOWqIHHyapdX5AYM2Vo61QVUyJwe3gu2GgPucPS4izF4A9ghgM36X9C-3RSURGRe0FP-JsasWSDFaTN_VqWcResxw-7__bfzlr2MJ0ZrGQ3RgGWY9Qdq7U-VtJp3x6q_1i5ph4AWOa5DvPm9e_vgtMNGXPEJ2S0UA_A4=", "id": "rs_09a63d11c8a917a2016a032b9156c081918252e39e7c7c8f75", "summary": [{"type": "summary_text", "text": "**Assessing implementation needs**\n\nI need to create a solid implementation, which could mean writing a script, possibly called health_pipeline.py, to handle migration and import an XLSX file into staging. To do this successfully, I want to get a better understanding of the XLSX structure first. I think there might be some quirks with the openpyxl read_only dimensions, so I might have to use the normal load method to inspect it thoroughly."}]}], "tool_calls": [{"id": "call_FHBBx7h0bmdDPkIS1CRBhnyD", "call_id": "call_FHBBx7h0bmdDPkIS1CRBhnyD", "response_item_id": "fc_09a63d11c8a917a2016a032b95b82c81918c684fe8f2bc7511", "type": "function", "function": {"name": "execute_code", "arguments": "{\"code\":\"from hermes_tools import terminal\\ncmd=r'''\\npython3 - <<'PY'\\nimport openpyxl, os\\np=os.path.expanduser('~/.hermes/assets/Gesundheit/attachments/Laborwerte_Uebersicht_2021-2025.xlsx')\\nwb=openpyxl.load_workbook(p, data_only=True)\\nws=wb[wb.sheetnames[0]]\\nprint(ws.title, ws.max_row, ws.max_column)\\nfor r in range(1, min(ws.max_row,15)+1):\\n    print(r, [ws.cell(r,c).value for c in range(1,min(ws.max_column,12)+1)])\\nPY\\n'''\\nres=terminal(cmd, timeout=120)\\nprint(res['output'])\"}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"Laborwerte Übersicht 2021-2025 1046 12\\n1 ['Analyse', 'Referenzbereich', datetime.datetime(2021, 6, 11, 0, 0), datetime.datetime(2021, 6, 15, 0, 0), datetime.datetime(2025, 5, 13, 0, 0), datetime.datetime(2025, 6, 18, 0, 0), datetime.datetime(2025, 8, 27, 0, 0), datetime.datetime(2025, 9, 14, 0, 0), datetime.datetime(2025, 9, 20, 0, 0), datetime.datetime(2025, 12, 29, 0, 0), datetime.datetime(2026, 1, 28, 0, 0), datetime.datetime(2026, 3, 6, 0, 0)]\\n2 [None, None, None, None, None, None, None, None, None, None, None, None]\\n3 ['Blutabnahmen', None, None, None, None, None, None, None, None, None, None, None]\\n4 [None, None, None, None, None, None, None, None, None, None, None, None]\\n5 ['Entzündung', None, None, None, None, None, None, None, None, None, None, None]\\n6 ['C-Reaktives Protein (CRP)', '< 5.0 mg/l', '1.1', None, '16.9', '9.3', '2.1', '24.6', '9.8', None, None, '0.8']\\n7 ['Hämatologie', None, None, None, None, None, None, None, None, None, None, None]\\n8 ['Hämoglobin', '13.0 - 17.5 g/dl', '16.2', None, '16.2', '14.9', '15.3', '14.6', '15.7', None, None, None]\\n9 ['Hämatokrit', '41 - 53 %', '49', None, '48', '44.2', '45', '43.2', '45', None, None, None]\\n10 ['Erythrozyten', '4.3 - 5.7 Mio/µl', '5.4', None, '5.25', '4.89', '5.09', '4.90', '5.18', None, None, None]\\n11 ['Leukozyten', '3.7 - 11.2 Tsd/µl', '6.0', None, '8.9', '6.4', '5.35', '9.7', '8.68', None, None, None]\\n12 ['Thrombozyten', '150 - 450 Tsd/µl', '248', None, '248', '230', '217', '237', '272', None, None, None]\\n13 ['MCV', '80 - 100 fl', '91', None, '91.7', '90.4', '88', '88.1', '87', None, None, None]\\n14 ['MCH', '28 - 33 pg', '30', None, '30.8', '33.6', '30', '29.7', '30', None, None, None]\\n15 ['Blutfette & Stoffwechsel', None, None, None, None, None, None, None, None, None, None, None]\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 0.63}", "tool_call_id": "call_FHBBx7h0bmdDPkIS1CRBhnyD", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAyzScOJe6nq3w_OX1l9i0hVhWBRU2l_fHQjC5reiCvrTaMW9izG8h-8EbHEBBdQvxhxKIbserp8e1vjl3d1F9lKqjIFAtHkDNMuOeqfV4pmLNG1EE3vmx3NHvLh3dt0CexsVNQcwKEsxlGq2AlvYZSatvK6ldiEfHnC5iDgRsd-67OSmezuDVJJgJT9Ck2wZO8ff5eQPM7-BXRYq2kIoER4XTDOuiGz7ig6M-_T6FBf_iZIiANP9h9FxKP35Zsmmh5vifz82wAeoPQ_CgtHFm_Hv_QLuxRpyodUJexeCiONE_7KLleJoGjmCsuBRCgw5eBMlM2caplxyTHKs24FyXmJ00enjdwt580ZgnIICWbE25je96lYjh62Mgy0EvsVitTmNd30XbJii9sWrp4nczBfQRnAODXvvESgP-KS-fPkVwdIblDWd246Mo_V83J65k5co79QOYAzv4bED-FowxhswtfGkaad8TuesA1RPF-UvxzxkEsjViMi3MPqkawkAcTEx97PwFOPEwfMdmATiA4s8a9UQA0VAQPXWtuT9jeMGfLfLLt3VH5CQ6M5HQ3-JQM6XQ2ItU6G_6cM58LnvAbLIxw1V9fIfpWSLycKslSQRrbtA2tc-8jcmzoAP_KLzwTxVpWW5orBueYVKctuq_3MlMDE5du5T2OHsxESTMI8aRNZUYo-wpgjj9REKaZElEIyIvL5Ry5k_cMwxG7VBYvyLESqugAZDq0tgw0_h1fAHyEZTMqaCf-DvjAzGhqETHdA8ruXXOAXv7T_wv5yYNXa1gpqy2JIlXgUTMQmWOqbzkq9fX1TEr2VEq7ZNccCP-Fv3-niqq7Yv6-Yf-Yypvbncj5P2MRGlPwonUmwbOhq1gMci6u28d3nhB0KBndlUgWtCPkKUvR5bW7FCPmbCDKYmifU4JTszzneoQrXsewK9gNUoQERn4dURYyKtPwMyAVYDjrbShpxE-c3uMy4eGFW0n48L6H6BilJUBH5aApLos-VLOmCDGun_5i6gXWPpSl6bgBFeX7l4CQoMnNsSuWbleNO_jCXRqYD7PQaSKUlulstdk4BFT6xWSj1SlnU8VrQxzKRE5jngW53AeU1AmQlNny8tAZoJZDfG9zNCUHByFlIXndbaTs92PvXryaZV5Tpo92HQ-7mUnXLN0nl60-k_-jNVhMxGYsBhWBgiJIC5ekPOMci8mItd6_RoAyTr-OlnEycJ15oMaQsilk0LAwNIf6__xgGx6VhtICQ4fjsda25uclB8U2DQEKYSph9T3IxloE9IBy_ZG19AFOGbj5dlwCF17_cHmWxfd9WEhv2uVVy5i6Eob61og8vbbih995HtjD-WSdxwVc-rgiTsA9ymczI4BhV4OXKgiFKRtnuBCQSb9mLU3neWwMxmt6pVWfdK-B4jvPRPFABfWWOiqRR6KglMP7kxW0B353BLEGjVxJCrDqx3dwZUCkBk8pWG_as5oGGG4chpQTeVXajboT2v9rw3rM_mm7-tEx9gjUeuXQHMvVvc7du8UC7lUmrMIVEC97f216VBDnhN5x18L6Jttdb3QoiiNndN2NXqIuZLP7RNhsvciFB3y2nmdjSAjFsMVWq0CfJrB1YUYwqGWg5l5HgCbnswy4xHh6JowpY7CT1FDdNoUJORHPJMG-4wOErO-U85q7ESejBlkYYR2efrXGLtuOoz0IvU0gpg5vnUlb6jYA8054-2MzCbIyvlQFcM5-V_8MK11Yoew-sk3yvfTmJAryGd9xMJVoZIRVbEAuej7a8RlQRpQCU9CJE7u48X3FTvUTf7VHauYxb9PKjPfJ9K1ACTqyqjMGmC0wyckFmU6UOx1GAb0fWyurcRKYi_HewJaihIZnGN4N0V6BlQFYRZQEICzCPdg2pvyRR70qE8gddo_LtirgAfO16p-rUSZQpdFRX2uwjZk7DZNeL0E2ctuFfRO2Y2JMue20qRS4bL7ygxeU7zzgsYPej6v85aeb5fgihgTl3df7vm0Gl9E_JAcSVFDc5HrKR8X7UNMrzOrS0bx2wTtfiCoc-N2m_YUOegcCINW5lTfI9Noz0g2n5VAqC9Uk4izV_vklyNGW-OSgUfPeh16oXsqKMKyQYKYKPQBueDZEQvvkit5yhau3f1R6Mig_WAwQeKHUOSSS1zGX63I1jlWkJBpuNhjGsM", "id": "rs_0203506528cde469016a032ccb716c8191bceeda0cdb33b265", "summary": []}], "tool_calls": [{"id": "call_Yns0W5wA7xonwiWOD9WqIW1g", "call_id": "call_Yns0W5wA7xonwiWOD9WqIW1g", "response_item_id": "fc_0203506528cde469016a032cd2a47081918a7971417c253343", "type": "function", "function": {"name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Ist-Zustand, Tabellen und existierende Automationen prüfen\",\"id\":\"t1\",\"status\":\"completed\"},{\"content\":\"DB-Migration für Staging/Review/Insights/Reports entwerfen und anwenden\",\"id\":\"t2\",\"status\":\"in_progress\"}]}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"t1\", \"content\": \"Ist-Zustand, Tabellen und existierende Automationen prüfen\", \"status\": \"completed\"}, {\"id\": \"t2\", \"content\": \"DB-Migration für Staging/Review/Insights/Reports entwerfen und anwenden\", \"status\": \"in_progress\"}, {\"id\": \"t3\", \"content\": \"Health-Pipeline-Skript für Intake, Labor-Korrektur-XLSX, Dashboard und Berichte erstellen\", \"status\": \"pending\"}, {\"id\": \"t4\", \"content\": \"Laborreport-Skript reparieren/ersetzen und Output verifizieren\", \"status\": \"pending\"}, {\"id\": \"t5\", \"content\": \"Google-Drive-Korrekturordner und Upload-Workflow vorbereiten\", \"status\": \"pending\"}, {\"id\": \"t6\", \"content\": \"Cron-Jobs für Intake-Sync und Berichte anlegen/testen\", \"status\": \"pending\"}, {\"id\": \"t7\", \"content\": \"Dokumentation/Skill aktualisieren und Abschlussbericht liefern\", \"status\": \"pending\"}], \"summary\": {\"total\": 7, \"pending\": 5, \"in_progress\": 1, \"completed\": 1, \"cancelled\": 0}}", "tool_call_id": "call_Yns0W5wA7xonwiWOD9WqIW1g", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_OHsMGxLPbujH6TwseJ5rgBpt", "call_id": "call_OHsMGxLPbujH6TwseJ5rgBpt", "response_item_id": "fc_06e4518767e2f78c016a032f388c108191b79d670ec7e927e7", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\":\"/home/agent/.hermes/assets/Gesundheit/scripts/health_system_migrate.py\",\"content\":\"#!/usr/bin/env python3\\n\\\"\\\"\\\"Migration for the health management system.\\n\\nAdds explicit review/staging/insight/report tables without destroying existing data.\\nRun repeatedly; it is idempotent.\\n\\\"\\\"\\\"\\nfrom __future__ import annotations\\n\\nimport os\\nimport shutil\\nimport sqlite3\\nfrom datetime import datetime\\nfrom pathlib import Path\\n\\nBASE = Path(os.path.expanduser(\\\"~/.hermes/assets/Gesundheit\\\"))\\nDB = BASE / \\\"health_data.db\\\"\\nBACKUP_DIR = BASE / \\\"backups\\\"\\n\\n\\ndef column_exists(conn: sqlite3.Connection, table: str, column: str) -> bool:\\n    return any(row[1] == column for row in conn.execute(f\\\"PRAGMA table_info({table})\\\"))\\n\\n\\ndef add_column(conn: sqlite3.Connection, table: str, column: str, ddl: str) -> None:\\n    if not column_exists(conn, table, column):\\n        conn.execute(f\\\"ALTER TABLE {table} ADD COLUMN {column} {ddl}\\\")\\n\\n\\ndef main() -> None:\\n    if not DB.exists():\\n        raise SystemExit(f\\\"DB not found: {DB}\\\")\\n    BACKUP_DIR.mkdir(parents=True, exist_ok=True)\\n    stamp = datetime.now().strftime(\\\"%Y%m%d_%H%M%S\\\")\\n    backup = BACKUP_DIR / f\\\"health_data_before_review_workflow_{stamp}.db\\\"\\n    shutil.copy2(DB, backup)\\n\\n    conn = sqlite3.connect(DB)\\n    conn.execute(\\\"PRAGMA foreign_keys=ON\\\")\\n\\n    # Add non-breaking columns to existing core tables.\\n    add_column(conn, \\\"laborwerte\\\", \\\"abnahme_datum\\\", \\\"TEXT\\\")\\n    add_column(conn, \\\"laborwerte\\\", \\\"befund_datum\\\", \\\"TEXT\\\")\\n    add_column(conn, \\\"laborwerte\\\", \\\"wert_original\\\", \\\"TEXT\\\")\\n    add_column(conn, \\\"laborwerte\\\", \\\"quelle\\\", \\\"TEXT\\\")\\n    add_column(conn, \\\"laborwerte\\\", \\\"validierungsstatus\\\", \\\"TEXT DEFAULT 'unvalidiert'\\\")\\n    add_column(conn, \\\"laborwerte\\\", \\\"review_batch_id\\\", \\\"TEXT\\\")\\n    add_column(conn, \\\"dokumente\\\", \\\"quelle\\\", \\\"TEXT\\\")\\n    add_column(conn, \\\"dokumente\\\", \\\"review_status\\\", \\\"TEXT DEFAULT 'nicht_geprueft'\\\")\\n    add_column(conn, \\\"dokumente\\\", \\\"processing_quality\\\", \\\"TEXT\\\")\\n\\n    conn.executescript(\\n        \\\"\\\"\\\"\\n        CREATE TABLE IF NOT EXISTS health_processing_runs (\\n            id INTEGER PRIMARY KEY AUTOINCREMENT,\\n            batch_id TEXT UNIQUE NOT NULL,\\n            run_type TEXT NOT NULL,\\n            source TEXT,\\n            source_ref TEXT,\\n            started_at TEXT DEFAULT (datetime('now','localtime')),\\n            finished_at TEXT,\\n            status TEXT DEFAULT 'running',\\n            summary TEXT,\\n            artifacts_json TEXT\\n        );\\n\\n        CREATE TABLE IF NOT EXISTS laborwerte_staging (\\n            id INTEGER PRIMARY KEY AUTOINCREMENT,\\n            batch_id TEXT NOT NULL,\\n            dokument_id INTEGER,\\n            parameter_name TEXT NOT NULL,\\n            kategorie TEXT,\\n            wert_extrahiert TEXT,\\n            wert_korrigiert TEXT,\\n            wert_final TEXT,\\n            einheit TEXT,\\n            referenzbereich TEXT,\\n            reference_min TEXT,\\n            reference_max TEXT,\\n            flag TEXT,\\n            abnahme_datum TEXT,\\n            befund_datum TEXT,\\n            dokumentseite TEXT,\\n            confidence REAL,\\n            extraktionsmethode TEXT,\\n            quelle TEXT,\\n            kommentar TEXT,\\n            status TEXT DEFAULT 'zur_pruefung',\\n            created_at TEXT DEFAULT (datetime('now','localtime')),\\n            reviewed_at TEXT,\\n            UNIQUE(batch_id, parameter_name, abnahme_datum, COALESCE(einheit,''))\\n        );\\n\\n        CREATE TABLE IF NOT EXISTS document_insights (\\n            id INTEGER PRIMARY KEY AUTOINCREMENT,\\n            dokument_id INTEGER,\\n            batch_id TEXT,\\n            insight_type TEXT NOT NULL,\\n            datum TEXT,\\n            titel TEXT NOT NULL,\\n            inhalt TEXT,\\n            severity TEXT DEFAULT 'info',\\n            source TEXT,\\n            created_at TEXT DEFAULT (datetime('now','localtime'))\\n        );\\n\\n        CREATE TABLE IF NOT EXISTS health_daily_summary (\\n            datum TEXT PRIMARY KEY,\\n            nutrition_json TEXT,\\n            vitals_json TEXT,\\n            symptoms_json TEXT,\\n            medications_json TEXT,\\n            notes TEXT,\\n            generated_at TEXT DEFAULT (datetime('now','localtime'))\\n        );\\n\\n        CREATE TABLE IF NOT EXISTS health_insights (\\n            id INTEGER PRIMARY KEY AUTOINCREMENT,\\n            insight_date TEXT NOT NULL,\\n            insight_type TEXT NOT NULL,\\n            title TEXT NOT NULL,\\n            description TEXT,\\n            evidence_json TEXT,\\n            confidence TEXT DEFAULT 'niedrig',\\n            severity TEXT DEFAULT 'info',\\n            status TEXT DEFAULT 'offen',\\n            created_at TEXT DEFAULT (datetime('now','localtime'))\\n        );\\n\\n        CREATE TABLE IF NOT EXISTS report_runs (\\n            id INTEGER PRIMARY KEY AUTOINCREMENT,\\n            report_type TEXT NOT NULL,\\n            period_start TEXT,\\n            period_end TEXT,\\n            output_path TEXT,\\n            drive_file_id TEXT,\\n            status TEXT DEFAULT 'created',\\n            summary TEXT,\\n            created_at TEXT DEFAULT (datetime('now','localtime'))\\n        );\\n\\n        CREATE INDEX IF NOT EXISTS idx_labor_staging_status ON laborwerte_staging(status);\\n        CREATE INDEX IF NOT EXISTS idx_labor_staging_batch ON laborwerte_staging(batch_id);\\n        CREATE INDEX IF NOT EXISTS idx_laborwerte_abnahme ON laborwerte(abnahme_datum);\\n        CREATE INDEX IF NOT EXISTS idx_health_insights_date ON health_insights(insight_date);\\n        CREATE INDEX IF NOT EXISTS idx_document_insights_doc ON document_insights(dokument_id);\\n        \\\"\\\"\\\"\\n    )\\n\\n    conn.commit()\\n    conn.close()\\n    print(f\\\"Migration OK. Backup: {backup}\\\")\\n\\n\\nif __name__ == \\\"__main__\\\":\\n    main()\\n\"}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "write_file", "content": "{\"bytes_written\": 5519, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_OHsMGxLPbujH6TwseJ5rgBpt", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_Mztlv6afaZ0XBYPCusow2Xob", "call_id": "call_Mztlv6afaZ0XBYPCusow2Xob", "response_item_id": "fc_0c591265a72a5f3c016a032f6e467881918b2bc98dd8a35b74", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python3 /home/agent/.hermes/assets/Gesundheit/scripts/health_system_migrate.py && python3 - <<'PY'\\nimport sqlite3, os\\ncon=sqlite3.connect(os.path.expanduser('~/.hermes/assets/Gesundheit/health_data.db'))\\nprint([r[0] for r in con.execute(\\\"select name from sqlite_master where type='table' and name in ('laborwerte_staging','health_insights','report_runs','health_processing_runs','health_daily_summary','document_insights') order by name\\\")])\\nprint('labor cols added:', [r[1] for r in con.execute('pragma table_info(laborwerte)')][-6:])\\nPY\",\"timeout\":120}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"Traceback (most recent call last):\\n  File \\\"/home/agent/.hermes/assets/Gesundheit/scripts/health_system_migrate.py\\\", line 155, in <module>\\n    main()\\n  File \\\"/home/agent/.hermes/assets/Gesundheit/scripts/health_system_migrate.py\\\", line 51, in main\\n    conn.executescript(\\nsqlite3.OperationalError: expressions prohibited in PRIMARY KEY and UNIQUE constraints\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_Mztlv6afaZ0XBYPCusow2Xob", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAy94xJzUBsbQXb3Z2Oew2zzBp4B4mtcFiL6Gx5UElveC1pqWHivsjNVpF9ki1xdVUD88a6JY1FvnUTWzd9ZkVyMLNKc0yA-aqVRAXypjPfev5yHkDUNzEN9dZ1Obc8fwv__5OFEln05SqP4FTuv9QpDQdZptWy9Iybv8021MYv9Yei6o6F5QxYehnqM12LUiUKpmG-yX8ruwG5ir1I0z2NXpFe6oBvFZJe7OpVOzSxckWAs1KRKv0wSq5gKHcSNWd0sHs2rdvX9-fHJkytaLruwNbtlOY17dKfSsAce5ikJhc-0G_duuo9cZUJ8OSBU1B52n4pO1DstfgHay1fNVTi2WbwKw4RbqwxWtlQYbDjeo0E_jxwkAidkU8RUrw8O6ovyyksZxEQ8mpqwJB97Vf5AzLa2NbBb8mjyxbGspnEKVOFFLSoC9FvDOiadf4Btg0RGgkQjH4OrsIzsSITpBt003fXlDQnXSPWxoAsvpEQ1Nw_NHKP-N_NZ4jwc8ckeBzymTWvoer7G0wTMLp_Mmam-QOIT9V4A1Kil7TxYHHUGu_vUkWIXn3akjvdDWrNbkEVB5h_HvQRhO9O5u0lfDcxDe1Mdy7PtqWqkheQf5U4C53Z6ER2eDDvAU4XrekgRzcaaAwDEoNB6e_Y3jFovcF5KMIJJCI24Y9xjzXhfFvZiD41Vae76_-O4oNKNE6IC9bWjXvpyP7H8RH_cz6DO6HZgNitWTW3UY0JzuzT5nggElseclg21wghyDtyeJCvoGjTtFGcjHzK3vDFMtPAy9XLi8JiKmPdRvrXYBqSW-7A7XaGN8r8UrmzFbbINjl12sxz8qOcO1DWTcJgxFWZcs_sEM-JO0DWtVh_4IpiyHdUWUgzu-ZI3kMozyDPx7KoqDn0lL3wK69YCNugzZIaGjlasRsNyLwx6mNZrb5MYBZxJwM70tzotYGwo05HfU2AxrrHveaJOThrFGV_u0qLZGGYpFlVzLIQGzKiwqXID1bnwzuQs9jO-lA6BFNz1imCDiOGynB9vmnlilCtzdi_P9Ytapsg==", "id": "rs_08a4ff170447da72016a032f75fee481919c1fecd06fed577d", "summary": []}], "tool_calls": [{"id": "call_hTI7jHaQsk01FnNxDoc3loVg", "call_id": "call_hTI7jHaQsk01FnNxDoc3loVg", "response_item_id": "fc_08a4ff170447da72016a032f78e4488191b8ce72a4838b2500", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"path\":\"/home/agent/.hermes/assets/Gesundheit/scripts/health_system_migrate.py\",\"old_string\":\"            reviewed_at TEXT,\\n            UNIQUE(batch_id, parameter_name, abnahme_datum, COALESCE(einheit,''))\\n        );\",\"new_string\":\"            reviewed_at TEXT,\\n            UNIQUE(batch_id, parameter_name, abnahme_datum, einheit)\\n        );\"}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/assets/Gesundheit/scripts/health_system_migrate.py\\n+++ b//home/agent/.hermes/assets/Gesundheit/scripts/health_system_migrate.py\\n@@ -87,7 +87,7 @@\\n             status TEXT DEFAULT 'zur_pruefung',\\n             created_at TEXT DEFAULT (datetime('now','localtime')),\\n             reviewed_at TEXT,\\n-            UNIQUE(batch_id, parameter_name, abnahme_datum, COALESCE(einheit,''))\\n+            UNIQUE(batch_id, parameter_name, abnahme_datum, einheit)\\n         );\\n \\n         CREATE TABLE IF NOT EXISTS document_insights (\\n\", \"files_modified\": [\"/home/agent/.hermes/assets/Gesundheit/scripts/health_system_migrate.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_hTI7jHaQsk01FnNxDoc3loVg", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_rrBpT5CacFPAK0L1wOsEmld1", "call_id": "call_rrBpT5CacFPAK0L1wOsEmld1", "response_item_id": "fc_0f675262eba1bc71016a032f7e7100819195751f5f2500b4cd", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python3 /home/agent/.hermes/assets/Gesundheit/scripts/health_system_migrate.py && python3 - <<'PY'\\nimport sqlite3, os\\ncon=sqlite3.connect(os.path.expanduser('~/.hermes/assets/Gesundheit/health_data.db'))\\nprint([r[0] for r in con.execute(\\\"select name from sqlite_master where type='table' and name in ('laborwerte_staging','health_insights','report_runs','health_processing_runs','health_daily_summary','document_insights') order by name\\\")])\\nprint('labor cols:', [r[1] for r in con.execute('pragma table_info(laborwerte)')])\\nPY\",\"timeout\":120}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"Migration OK. Backup: /home/agent/.hermes/assets/Gesundheit/backups/health_data_before_review_workflow_20260512_154748.db\\n['document_insights', 'health_daily_summary', 'health_insights', 'health_processing_runs', 'laborwerte_staging', 'report_runs']\\nlabor cols: ['id', 'dokument_id', 'parameter_name', 'wert', 'einheit', 'reference_min', 'reference_max', 'einheiten', 'bemerking', 'ermittlung_datum', 'abnahme_datum', 'befund_datum', 'wert_original', 'quelle', 'validierungsstatus', 'review_batch_id']\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_rrBpT5CacFPAK0L1wOsEmld1", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_C0NxlVnBWb6H0rwVLUqpt4ss", "call_id": "call_C0NxlVnBWb6H0rwVLUqpt4ss", "response_item_id": "fc_0041fadc7ca03123016a032f885b58819182f663fffa187980", "type": "function", "function": {"name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"DB-Migration für Staging/Review/Insights/Reports entwerfen und anwenden\",\"id\":\"t2\",\"status\":\"completed\"},{\"content\":\"Health-Pipeline-Skript für Intake, Labor-Korrektur-XLSX, Dashboard und Berichte erstellen\",\"id\":\"t3\",\"status\":\"in_progress\"}]}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"t1\", \"content\": \"Ist-Zustand, Tabellen und existierende Automationen prüfen\", \"status\": \"completed\"}, {\"id\": \"t2\", \"content\": \"DB-Migration für Staging/Review/Insights/Reports entwerfen und anwenden\", \"status\": \"completed\"}, {\"id\": \"t3\", \"content\": \"Health-Pipeline-Skript für Intake, Labor-Korrektur-XLSX, Dashboard und Berichte erstellen\", \"status\": \"in_progress\"}, {\"id\": \"t4\", \"content\": \"Laborreport-Skript reparieren/ersetzen und Output verifizieren\", \"status\": \"pending\"}, {\"id\": \"t5\", \"content\": \"Google-Drive-Korrekturordner und Upload-Workflow vorbereiten\", \"status\": \"pending\"}, {\"id\": \"t6\", \"content\": \"Cron-Jobs für Intake-Sync und Berichte anlegen/testen\", \"status\": \"pending\"}, {\"id\": \"t7\", \"content\": \"Dokumentation/Skill aktualisieren und Abschlussbericht liefern\", \"status\": \"pending\"}], \"summary\": {\"total\": 7, \"pending\": 4, \"in_progress\": 1, \"completed\": 2, \"cancelled\": 0}}", "tool_call_id": "call_C0NxlVnBWb6H0rwVLUqpt4ss", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": "**Building a processing pipeline**\n\nI’m thinking about implementing actual scripts and cron jobs. Processing all documents could be too heavy, so it makes sense to build a specific pipeline instead. I’ll need to create a Drive upload helper script using the GOG environment since that involves creating folders. It's time to dive into the coding! I’m eager to see how this will streamline things.", "finish_reason": "tool_calls", "reasoning_content": "**Building a processing pipeline**\n\nI’m thinking about implementing actual scripts and cron jobs. Processing all documents could be too heavy, so it makes sense to build a specific pipeline instead. I’ll need to create a Drive upload helper script using the GOG environment since that involves creating folders. It's time to dive into the coding! I’m eager to see how this will streamline things.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAy-YoIVv730H4ON8B_6NAq2o8VkJLeCh25LJj8XHVXH6tXnH1mymT_qvqmDmro250NAAdaCZ7spb0i8nds8LFAXZ5kkrARSF2UQY_Js5-BDaVQPfsEWnqnN4Innz634XJZTnaYDL4MwtYiVm5PCPv-_MuhSmPkVLZYCVQWfYYfOeiWNjGn78Kc9T8I27CVEK1U02oYDdg0RfQwWMtKU0lt1JhstHzLAsGnG2dNYszsfYObKB6AnCa0uyWX7vXqJyq0P3PHubn9V49CthkO9erqrjYOYCPflqOvlIVFYfVrKCpPj2tjlbJTU8HkQk7tCbxC80xJ9Py3_kqKi_pffVxyDJ0y98MD7-qry908E6D_hxitXVou96ObbcGmGgvhVgzkHyTNJg7o1w3X9GT6sGh3SRmsVeKU0IW3laBsEBqagmcuUKQqe7V2QXCH8YwdMLiQlAQmeFXmEho3D8Cy4iYB9r_gbKxUhCR_Cs7CNm_vIRKEuWKXKQrKpSsN0xley7Ve7RBm-P3lm0ClLpFKt5s70XruWuGxtCse7n-LMi5SJUArT2cot4U7MdhXHcXskuotumvPslGSszXNWTMkdnbc4xvh7jMo16721ozTYn8r1DjoPnQofFLSDZ-Q7WkwfibXNTrKxIDimhiZv9KCox7zA6dJUwke4wYlaPw1wswmap7aRu0ixsNWPPt2pZ1G68BdihLBD19cbBxRa6sYghCHTjSjCY_Gglb0262ncRwO8BXLFmOjXCynccqdcemA0bAfPAQXtVukohWTfJGpXH-D8py70O-K3QxblXQq8SazPbCpj-OAIkVzZaD5hvXSMsKx_FxcobB12srJK89EGUcWGcub9Zd1V9wQogrgo9biH0hn1vncHinxTrwBI0JSo9dHCn6cLI16znb8but-eGycthLb5TI7_B6xggTik9SySr6AueI6eC4jySuKlz9UbAMxC3CaAI9UWJnz7oMM8wLggtn3P8tz44JvZi54XwLsbdD2WUAQTEw3jZAHtM_R4jz7pkTdqPPI2-5asg4fhjC8zfK6L-6gYNSL3uqIDIsXcxExelFcn75j8xfNMyGyTML6E3VJDDtHRoI-jRtBNA0Eau0vZW3iKGUkz3Da45XAEtsRhle31j9deI-Bvjt0W1EVgg3N9fUW0BYiYRposBg_Crb1s9oLvo1hGaDs150uz2pCPoAGGoiZ5L89GMl2zQBfTk-5Tbfr9-ogqdzFLLbgHFzagsuuDmJjtkRg3P_dvb8-qzoD1kLcZIh73uyO1Duuzn6n4XCbeWE_GcZrWrXMX4kv-wsiOmnLrTb1sogbsbAVoXqZHzHwYVpwi7DTofmc_F-v2aHGta-sW87_FIDKvbCjoHknxmccxtmrOKjMriLeoG475wfE1daKJ7FTEvHowJqX9pwHokffR5WTeeea8KOwoj748ZVED2mTDNkei2FQI3MxmbIWEC4ZCu6uC_kkTtFbDgHZVHiGf3eQCDq03VIdWGCBJx7-dusfIXZrWC1Lpsknhqtq51TwfAaV8QcvTQxhfDNGoKSga5oH7CGwitf5x7EF-nOyOZVV72fdXONOk2s32zCMMzRbf0zJb3-nm6iqWKqyO7KB0SQQVqTtPydJBregwgb82YWJ_aPVh1jacMuUz6TiMCKaNIF9Z_r0DwVB9hPayjBJoRW5UT1LbkfEYf1dqOGEwvUbzQkOWLPMQeRWT7BAFiCRoAKYQlkq6F0a-LTo3S_sp7y8vPk_piDobMcaq0Mwb2oUzrhgVU9CzBs33y-jEBmFhEYpBtwQf-b5CvyY8ke9gwemmgjIKSCL_4eC4L9R90UyGynOov20JQrl9x9EeRtTM-jCGH-w03nfPefSXR0tFLSR8N2OG8batKMDCYBo1aZI9M88HukYXbhVhTdnTuz-IstWRU2dVdhuWPqGVJj9wVTI-4W7Ggs2clgpUXBkAGLR3g1wUXX_I-WFWWbiY-RkTyxH4nespFs5MkCoViNvJcOhT0eadFjEuqptFQLwB2oV7XctcmTtOq3DImqlZhVzHUKpyEkviwdl8zQC08E4vFqyb2KhdFWoIyzatCIm166qHTNnwMVR05pWISH-Ix-pZePXypJoDmVZE8iC7E2H2I4bWF6iWvFugE32zAncIvx15ZRykDMIH5XL9WDEalgU5PQyLq481zkUmxCUDbQh8e5jDFnIv0--GfQjqD7ac6CKnR2xbzVzgPN8-fUb6g6UBQp3oP9NRTJByorkX2HThpFOOZlFGY_b_JmWifomOurI0ulO3AAEZ4Y6UqxgaUwap9KD-ds1QQgnnqGcGBst3KOx20EZDrYbGZj9V1WlrgIGISLexj5juHgpd753D_IM0lxFPiCaTCDjvP_VJhq6DvredAS3qggHozp9AyDklqlSJaazYLvpNUjyVhEuqIe2Q-BlpgDj-pl77FleSDVXBHQN6E68okd8XDdWYB0B8J4prz7Mcen_oLF5dOk2oYP07NZp-ygndMR4Xzzc4KOpt679ZHaU2iiWUjtPhkWP9MkOcVLcLociLKCzBeB5eyHAqF4ttK_mN3Qll1bbAQnFirmtFmYngBbSHWSicGneup_LovKkUdF127Vs1QE6mfPbPK8QrCmDIf", "id": "rs_0ca4799d631d1f5a016a032f8d5bbc8191809ee15eed2b66b4", "summary": [{"type": "summary_text", "text": "**Building a processing pipeline**\n\nI’m thinking about implementing actual scripts and cron jobs. Processing all documents could be too heavy, so it makes sense to build a specific pipeline instead. I’ll need to create a Drive upload helper script using the GOG environment since that involves creating folders. It's time to dive into the coding! I’m eager to see how this will streamline things."}]}], "tool_calls": [{"id": "call_SzWgJ5L2vcY7dkb4ED9ZpYSU", "call_id": "call_SzWgJ5L2vcY7dkb4ED9ZpYSU", "response_item_id": "fc_0ca4799d631d1f5a016a032f98be708191832cbb4b33db3928", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\":\"/home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\",\"content\":\"#!/usr/bin/env python3\\n\\\"\\\"\\\"Health intelligence pipeline for JARVIS.\\n\\nFunctions:\\n- Parse the user-maintained lab reference XLSX.\\n- Export 4-eyes correction workbooks.\\n- Generate the current lab report in the desired pivot format.\\n- Generate a simple HTML dashboard and daily/weekly markdown reports.\\n- Apply reviewed correction XLSX files to the master DB.\\n- Register local inbox files in the document table.\\n\\nThis script deliberately keeps OCR/Docling extraction separate from final DB writes:\\nnewly extracted lab values should first go into laborwerte_staging and be reviewed.\\n\\\"\\\"\\\"\\nfrom __future__ import annotations\\n\\nimport argparse\\nimport csv\\nimport html\\nimport json\\nimport os\\nimport re\\nimport shutil\\nimport sqlite3\\nimport subprocess\\nimport sys\\nimport uuid\\nfrom dataclasses import dataclass\\nfrom datetime import date, datetime, timedelta\\nfrom pathlib import Path\\nfrom typing import Any, Iterable\\n\\nimport openpyxl\\nfrom openpyxl import Workbook, load_workbook\\nfrom openpyxl.styles import Alignment, Border, Font, PatternFill, Side\\nfrom openpyxl.utils import get_column_letter\\n\\nBASE = Path(os.path.expanduser(\\\"~/.hermes/assets/Gesundheit\\\"))\\nDB = BASE / \\\"health_data.db\\\"\\nINBOX = BASE / \\\"inbox\\\"\\nREPORTS = BASE / \\\"reports\\\"\\nCORRECTIONS = BASE / \\\"corrections\\\"\\nATTACHMENTS = BASE / \\\"attachments\\\"\\nREFERENCE_XLSX = ATTACHMENTS / \\\"Laborwerte_Uebersicht_2021-2025.xlsx\\\"\\nACCOUNT = \\\"friday.uplink@gmail.com\\\"\\nGOG_ENV = {\\n    **os.environ,\\n    \\\"HOME\\\": \\\"/home/agent\\\",\\n    \\\"XDG_CONFIG_HOME\\\": \\\"/home/agent/.config\\\",\\n    \\\"GOG_KEYRING_PASSWORD\\\": os.environ.get(\\\"GOG_KEYRING_PASSWORD\\\", \\\"LammBitch30\\\"),\\n}\\n\\nCATEGORY_NAMES = {\\n    \\\"Blutabnahmen\\\", \\\"Entzündung\\\", \\\"Hämatologie\\\", \\\"Blutfette & Stoffwechsel\\\",\\n    \\\"Leber & Niere\\\", \\\"Schilddrüse\\\", \\\"Hormone\\\", \\\"Immunologie / Infektion\\\",\\n    \\\"Gerinnung\\\", \\\"Urin\\\", \\\"Sonstiges\\\"\\n}\\n\\nREVIEW_HEADERS = [\\n    \\\"status\\\", \\\"kategorie\\\", \\\"parameter_name\\\", \\\"wert_extrahiert\\\", \\\"wert_korrigiert\\\",\\n    \\\"wert_final\\\", \\\"einheit\\\", \\\"referenzbereich\\\", \\\"abnahme_datum\\\", \\\"befund_datum\\\",\\n    \\\"flag\\\", \\\"confidence\\\", \\\"quelle\\\", \\\"dokument_id\\\", \\\"kommentar\\\"\\n]\\n\\n\\n@dataclass\\nclass LabValue:\\n    category: str\\n    parameter: str\\n    reference: str | None\\n    date: str\\n    value: str\\n    unit: str | None = None\\n\\n\\ndef conn() -> sqlite3.Connection:\\n    c = sqlite3.connect(DB)\\n    c.row_factory = sqlite3.Row\\n    return c\\n\\n\\ndef ensure_dirs() -> None:\\n    for p in [REPORTS, CORRECTIONS, INBOX, ATTACHMENTS]:\\n        p.mkdir(parents=True, exist_ok=True)\\n\\n\\ndef normalize_date(value: Any) -> str | None:\\n    if value is None or value == \\\"\\\":\\n        return None\\n    if isinstance(value, datetime):\\n        return value.date().isoformat()\\n    if isinstance(value, date):\\n        return value.isoformat()\\n    text = str(value).strip()\\n    for fmt in [\\\"%Y-%m-%d\\\", \\\"%d.%m.%Y\\\", \\\"%d.%m.%y\\\", \\\"%Y/%m/%d\\\"]:\\n        try:\\n            return datetime.strptime(text, fmt).date().isoformat()\\n        except ValueError:\\n            pass\\n    m = re.search(r\\\"(20\\\\d{2})[-_.]?(\\\\d{2})[-_.]?(\\\\d{2})\\\", text)\\n    if m:\\n        return f\\\"{m.group(1)}-{m.group(2)}-{m.group(3)}\\\"\\n    return text\\n\\n\\ndef split_reference(ref: str | None) -> tuple[str | None, str | None, str | None]:\\n    if not ref:\\n        return None, None, None\\n    text = str(ref).strip()\\n    unit = None\\n    nums = re.findall(r\\\"[-+]?\\\\d+(?:[.,]\\\\d+)?\\\", text)\\n    # first alphabetical/non numeric tail as rough unit\\n    m_unit = re.search(r\\\"(?:\\\\d|[<>])\\\\s*([A-Za-zµ%/][A-Za-z0-9µ/%^ .-]*)$\\\", text)\\n    if m_unit:\\n        unit = m_unit.group(1).strip()\\n    if \\\"-\\\" in text and len(nums) >= 2:\\n        return nums[0].replace(\\\",\\\", \\\".\\\"), nums[1].replace(\\\",\\\", \\\".\\\"), unit\\n    if text.strip().startswith(\\\"<\\\") and nums:\\n        return None, nums[0].replace(\\\",\\\", \\\".\\\"), unit\\n    if text.strip().startswith(\\\">\\\") and nums:\\n        return nums[0].replace(\\\",\\\", \\\".\\\"), None, unit\\n    return None, None, unit\\n\\n\\ndef parse_reference_xlsx(path: Path = REFERENCE_XLSX) -> list[LabValue]:\\n    if not path.exists():\\n        raise FileNotFoundError(path)\\n    wb = load_workbook(path, data_only=True)\\n    ws = wb[wb.sheetnames[0]]\\n    dates: dict[int, str] = {}\\n    for col in range(3, ws.max_column + 1):\\n        d = normalize_date(ws.cell(1, col).value)\\n        if d:\\n            dates[col] = d\\n    values: list[LabValue] = []\\n    category = \\\"Sonstiges\\\"\\n    for row in range(2, ws.max_row + 1):\\n        name = ws.cell(row, 1).value\\n        if name is None or str(name).strip() == \\\"\\\":\\n            continue\\n        name_s = str(name).strip()\\n        non_empty_date_values = [ws.cell(row, c).value for c in dates if ws.cell(row, c).value not in (None, \\\"\\\")]\\n        ref = ws.cell(row, 2).value\\n        # Category rows are plain labels without reference and date values.\\n        if name_s in CATEGORY_NAMES and not ref and not non_empty_date_values:\\n            category = name_s\\n            continue\\n        if not non_empty_date_values:\\n            continue\\n        _, _, unit = split_reference(str(ref) if ref else None)\\n        for col, d in dates.items():\\n            val = ws.cell(row, col).value\\n            if val is None or str(val).strip() == \\\"\\\":\\n                continue\\n            values.append(LabValue(category, name_s, str(ref).strip() if ref else None, d, str(val).strip(), unit))\\n    return values\\n\\n\\ndef get_lab_matrix(values: list[LabValue]) -> tuple[list[str], list[str], dict[tuple[str, str], LabValue], dict[str, str], dict[str, str]]:\\n    dates = sorted({v.date for v in values})\\n    cats: dict[str, str] = {}\\n    refs: dict[str, str] = {}\\n    matrix: dict[tuple[str, str], LabValue] = {}\\n    for v in values:\\n        cats[v.parameter] = v.category\\n        if v.reference:\\n            refs[v.parameter] = v.reference\\n        matrix[(v.parameter, v.date)] = v\\n    order = {c: i for i, c in enumerate(CATEGORY_NAMES)}\\n    params = sorted(cats, key=lambda p: (order.get(cats.get(p, \\\"Sonstiges\\\"), 999), cats.get(p, \\\"\\\"), p.lower()))\\n    return dates, params, matrix, cats, refs\\n\\n\\ndef style_sheet(ws: Any, freeze: str = \\\"C2\\\") -> None:\\n    ws.freeze_panes = freeze\\n    ws.auto_filter.ref = ws.dimensions\\n    for col in range(1, ws.max_column + 1):\\n        letter = get_column_letter(col)\\n        max_len = 10\\n        for row in range(1, min(ws.max_row, 80) + 1):\\n            val = ws.cell(row, col).value\\n            if val is not None:\\n                max_len = max(max_len, min(45, len(str(val)) + 2))\\n        ws.column_dimensions[letter].width = max_len\\n\\n\\ndef generate_lab_report(output: Path = REPORTS / \\\"aktuelle_blutwerte.xlsx\\\", source: Path = REFERENCE_XLSX) -> Path:\\n    ensure_dirs()\\n    values = parse_reference_xlsx(source)\\n    dates, params, matrix, cats, refs = get_lab_matrix(values)\\n    wb = Workbook()\\n    ws = wb.active\\n    ws.title = \\\"Aktuelle Blutwerte\\\"\\n    header_fill = PatternFill(\\\"solid\\\", fgColor=\\\"1F4E78\\\")\\n    header_font = Font(color=\\\"FFFFFF\\\", bold=True)\\n    cat_fill = PatternFill(\\\"solid\\\", fgColor=\\\"D9EAF7\\\")\\n    cat_font = Font(color=\\\"1F4E78\\\", bold=True)\\n    border = Border(*(Side(style=\\\"thin\\\", color=\\\"BFBFBF\\\") for _ in range(4)))\\n    ws.append([\\\"Parameter\\\", \\\"Referenzbereich\\\"] + dates)\\n    for cell in ws[1]:\\n        cell.fill = header_fill; cell.font = header_font; cell.alignment = Alignment(horizontal=\\\"center\\\", wrap_text=True); cell.border = border\\n    row = 2\\n    current_cat = None\\n    for p in params:\\n        cat = cats.get(p, \\\"Sonstiges\\\")\\n        if cat != current_cat:\\n            ws.append([cat] + [None] * (len(dates) + 1))\\n            ws.merge_cells(start_row=row, start_column=1, end_row=row, end_column=len(dates)+2)\\n            c = ws.cell(row, 1); c.fill = cat_fill; c.font = cat_font; c.border = border\\n            current_cat = cat; row += 1\\n        ws.append([p, refs.get(p, \\\"\\\")] + [matrix.get((p, d)).value if matrix.get((p, d)) else None for d in dates])\\n        for c in ws[row]:\\n            c.border = border; c.alignment = Alignment(horizontal=\\\"center\\\" if c.column > 2 else \\\"left\\\", wrap_text=True)\\n        row += 1\\n    ws.column_dimensions[\\\"A\\\"].width = 42\\n    ws.column_dimensions[\\\"B\\\"].width = 22\\n    for col in range(3, len(dates)+3):\\n        ws.column_dimensions[get_column_letter(col)].width = 13\\n    style_sheet(ws)\\n    wb.save(output)\\n    return output\\n\\n\\ndef export_correction_xlsx(batch_id: str | None = None, output: Path | None = None, source: Path = REFERENCE_XLSX) -> Path:\\n    \\\"\\\"\\\"Export a review workbook. If batch_id exists in staging, export it; otherwise export reference XLSX as initial validated review.\\\"\\\"\\\"\\n    ensure_dirs()\\n    if not batch_id:\\n        batch_id = \\\"reference_\\\" + datetime.now().strftime(\\\"%Y%m%d_%H%M%S\\\")\\n    if output is None:\\n        output = CORRECTIONS / f\\\"KORREKTUR_Laborwerte_{batch_id}.xlsx\\\"\\n    wb = Workbook()\\n    ws = wb.active\\n    ws.title = \\\"Laborwerte_Korrektur\\\"\\n    ws.append(REVIEW_HEADERS)\\n    c = conn()\\n    rows = []\\n    try:\\n        rows = list(c.execute(\\\"SELECT * FROM laborwerte_staging WHERE batch_id=? ORDER BY kategorie, parameter_name, abnahme_datum\\\", (batch_id,)))\\n    finally:\\n        c.close()\\n    if rows:\\n        for r in rows:\\n            final = r[\\\"wert_final\\\"] or r[\\\"wert_korrigiert\\\"] or r[\\\"wert_extrahiert\\\"]\\n            ws.append([r[\\\"status\\\"], r[\\\"kategorie\\\"], r[\\\"parameter_name\\\"], r[\\\"wert_extrahiert\\\"], r[\\\"wert_korrigiert\\\"], final, r[\\\"einheit\\\"], r[\\\"referenzbereich\\\"], r[\\\"abnahme_datum\\\"], r[\\\"befund_datum\\\"], r[\\\"flag\\\"], r[\\\"confidence\\\"], r[\\\"quelle\\\"], r[\\\"dokument_id\\\"], r[\\\"kommentar\\\"]])\\n    else:\\n        for v in parse_reference_xlsx(source):\\n            ws.append([\\\"validiert\\\", v.category, v.parameter, v.value, None, v.value, v.unit, v.reference, v.date, None, None, 1.0, source.name, None, \\\"Referenz-XLSX\\\"])\\n    header_fill = PatternFill(\\\"solid\\\", fgColor=\\\"7030A0\\\")\\n    header_font = Font(color=\\\"FFFFFF\\\", bold=True)\\n    for cell in ws[1]:\\n        cell.fill = header_fill; cell.font = header_font\\n    style_sheet(ws, freeze=\\\"A2\\\")\\n    wb.save(output)\\n    return output\\n\\n\\ndef apply_corrections(path: Path, batch_id: str | None = None) -> int:\\n    \\\"\\\"\\\"Read reviewed correction workbook and upsert validated values into laborwerte.\\\"\\\"\\\"\\n    wb = load_workbook(path, data_only=True)\\n    ws = wb[wb.sheetnames[0]]\\n    headers = [str(c.value).strip() if c.value is not None else \\\"\\\" for c in ws[1]]\\n    idx = {h: i + 1 for i, h in enumerate(headers)}\\n    required = {\\\"parameter_name\\\", \\\"wert_final\\\", \\\"abnahme_datum\\\"}\\n    if not required <= set(idx):\\n        raise ValueError(f\\\"Missing required columns: {required - set(idx)}\\\")\\n    c = conn()\\n    count = 0\\n    now = datetime.now().strftime(\\\"%Y-%m-%d %H:%M:%S\\\")\\n    try:\\n        for row in range(2, ws.max_row + 1):\\n            status = str(ws.cell(row, idx.get(\\\"status\\\", 1)).value or \\\"validiert\\\").strip().lower()\\n            if status in {\\\"abgelehnt\\\", \\\"reject\\\", \\\"gelöscht\\\", \\\"geloescht\\\"}:\\n                continue\\n            param = ws.cell(row, idx[\\\"parameter_name\\\"]).value\\n            value = ws.cell(row, idx[\\\"wert_final\\\"]).value or ws.cell(row, idx.get(\\\"wert_korrigiert\\\", idx[\\\"wert_final\\\"])).value\\n            abnahme = normalize_date(ws.cell(row, idx[\\\"abnahme_datum\\\"]).value)\\n            if not param or value in (None, \\\"\\\") or not abnahme:\\n                continue\\n            einheit = ws.cell(row, idx.get(\\\"einheit\\\", 0)).value if idx.get(\\\"einheit\\\") else None\\n            ref = ws.cell(row, idx.get(\\\"referenzbereich\\\", 0)).value if idx.get(\\\"referenzbereich\\\") else None\\n            rmin, rmax, _ = split_reference(str(ref) if ref else None)\\n            quelle = ws.cell(row, idx.get(\\\"quelle\\\", 0)).value if idx.get(\\\"quelle\\\") else path.name\\n            existing = c.execute(\\\"SELECT id FROM laborwerte WHERE parameter_name=? AND abnahme_datum=? AND COALESCE(einheit,'')=COALESCE(?, '')\\\", (str(param), abnahme, einheit)).fetchone()\\n            if existing:\\n                c.execute(\\\"\\\"\\\"UPDATE laborwerte SET wert=?, wert_original=COALESCE(wert_original, wert), einheit=?, reference_min=?, reference_max=?, bemerking=?, quelle=?, validierungsstatus='validiert', review_batch_id=?, befund_datum=COALESCE(befund_datum, ?) WHERE id=?\\\"\\\"\\\",\\n                          (str(value), einheit, rmin, rmax, str(ref) if ref else None, str(quelle), batch_id, now, existing[\\\"id\\\"]))\\n            else:\\n                c.execute(\\\"\\\"\\\"INSERT INTO laborwerte (parameter_name, wert, wert_original, einheit, reference_min, reference_max, einheiten, bemerking, ermittlung_datum, abnahme_datum, befund_datum, quelle, validierungsstatus, review_batch_id)\\n                             VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, 'validiert', ?)\\\"\\\"\\\",\\n                          (str(param), str(value), str(value), einheit, rmin, rmax, einheit, str(ref) if ref else None, now, abnahme, now[:10], str(quelle), batch_id))\\n            count += 1\\n        c.commit()\\n    finally:\\n        c.close()\\n    return count\\n\\n\\ndef latest_docs(limit: int = 8) -> list[sqlite3.Row]:\\n    c = conn()\\n    try:\\n        return list(c.execute(\\\"SELECT id,datei_name,kategorie,status,review_status,upload_datum, length(COALESCE(extrahierte_inhalte,'')) text_len FROM dokumente ORDER BY id DESC LIMIT ?\\\", (limit,)))\\n    finally:\\n        c.close()\\n\\n\\ndef db_counts() -> dict[str, Any]:\\n    c = conn()\\n    try:\\n        out: dict[str, Any] = {}\\n        for table in [\\\"dokumente\\\", \\\"laborwerte\\\", \\\"laborwerte_staging\\\", \\\"ernaehrung\\\", \\\"tagebuch\\\", \\\"symptome\\\", \\\"health_events\\\", \\\"health_insights\\\"]:\\n            out[table] = c.execute(f\\\"SELECT count(*) FROM {table}\\\").fetchone()[0]\\n        out[\\\"documents_with_text\\\"] = c.execute(\\\"SELECT count(*) FROM dokumente WHERE length(trim(COALESCE(extrahierte_inhalte,'')))>0\\\").fetchone()[0]\\n        out[\\\"open_reviews\\\"] = c.execute(\\\"SELECT count(*) FROM laborwerte_staging WHERE status IN ('zur_pruefung','extrahiert')\\\").fetchone()[0]\\n        return out\\n    finally:\\n        c.close()\\n\\n\\ndef generate_dashboard(output: Path = REPORTS / \\\"health_dashboard.html\\\") -> Path:\\n    ensure_dirs()\\n    counts = db_counts()\\n    labs = parse_reference_xlsx() if REFERENCE_XLSX.exists() else []\\n    dates, params, matrix, cats, refs = get_lab_matrix(labs) if labs else ([], [], {}, {}, {})\\n    key_params = [\\\"C-Reaktives Protein (CRP)\\\", \\\"Leukozyten\\\", \\\"Thrombozyten\\\", \\\"D-Dimer\\\", \\\"LDL-Cholesterin\\\", \\\"HDL-Cholesterin\\\", \\\"Kreatinin\\\", \\\"ALAT (GPT)\\\"]\\n    series = {}\\n    for p in key_params:\\n        vals = []\\n        for d in dates:\\n            v = matrix.get((p, d))\\n            if v:\\n                try:\\n                    vals.append((d, float(str(v.value).replace(\\\",\\\", \\\".\\\").replace(\\\"<\\\", \\\"\\\").replace(\\\">\\\", \\\"\\\"))))\\n                except ValueError:\\n                    pass\\n        if vals:\\n            series[p] = vals\\n    docs = latest_docs()\\n    now = datetime.now().strftime(\\\"%Y-%m-%d %H:%M\\\")\\n    cards = \\\"\\\".join(f\\\"<div class='card'><div class='num'>{html.escape(str(v))}</div><div>{html.escape(k)}</div></div>\\\" for k, v in counts.items())\\n    doc_rows = \\\"\\\".join(f\\\"<tr><td>{r['id']}</td><td>{html.escape(str(r['datei_name']))}</td><td>{html.escape(str(r['kategorie']))}</td><td>{html.escape(str(r['status']))}</td><td>{r['text_len']}</td></tr>\\\" for r in docs)\\n    charts = \\\"\\\"\\n    for p, vals in series.items():\\n        labels = [x[0] for x in vals]\\n        data = [x[1] for x in vals]\\n        cid = re.sub(r\\\"\\\\W+\\\", \\\"_\\\", p)\\n        charts += f\\\"<h3>{html.escape(p)}</h3><canvas id='{cid}'></canvas><script>new Chart(document.getElementById('{cid}'), {{type:'line', data:{{labels:{json.dumps(labels)}, datasets:[{{label:{json.dumps(p)}, data:{json.dumps(data)}, tension:.25}}]}}, options:{{responsive:true, plugins:{{legend:{{display:false}}}}}}}});</script>\\\"\\n    html_text = f\\\"\\\"\\\"<!doctype html><html lang='de'><head><meta charset='utf-8'><title>Health Dashboard</title>\\n<script src='https://cdn.jsdelivr.net/npm/chart.js'></script>\\n<style>body{{font-family:Arial,sans-serif;margin:24px;background:#f6f8fb;color:#1f2937}}.grid{{display:grid;grid-template-columns:repeat(auto-fit,minmax(180px,1fr));gap:12px}}.card{{background:white;border-radius:12px;padding:16px;box-shadow:0 2px 8px #0001}}.num{{font-size:30px;font-weight:700;color:#1f4e78}}table{{border-collapse:collapse;width:100%;background:white}}td,th{{border:1px solid #ddd;padding:6px}}th{{background:#1f4e78;color:white}}canvas{{background:white;border-radius:12px;padding:12px;margin-bottom:20px}}</style></head><body>\\n<h1>JARVIS Health Dashboard</h1><p>Generiert: {now}</p>\\n<h2>Systemstatus</h2><div class='grid'>{cards}</div>\\n<h2>Labortrends</h2>{charts or '<p>Keine Labortrends verfügbar.</p>'}\\n<h2>Letzte Dokumente</h2><table><tr><th>ID</th><th>Datei</th><th>Kategorie</th><th>Status</th><th>Volltext-Zeichen</th></tr>{doc_rows}</table>\\n<h2>Workflow</h2><ol><li>Neue Dokumente in Inbox/E-Mail/Telegram/Drive.</li><li>Extraktion nach Staging.</li><li>Korrektur-XLSX im Korrekturordner prüfen.</li><li>Nach Freigabe werden Werte validiert in die Master-DB übernommen.</li></ol>\\n</body></html>\\\"\\\"\\\"\\n    output.write_text(html_text, encoding=\\\"utf-8\\\")\\n    c = conn(); c.execute(\\\"INSERT INTO report_runs(report_type, output_path, summary) VALUES(?,?,?)\\\", (\\\"dashboard\\\", str(output), \\\"Health Dashboard generiert\\\")); c.commit(); c.close()\\n    return output\\n\\n\\ndef generate_daily_report(day: str | None = None, output: Path | None = None) -> Path:\\n    ensure_dirs()\\n    day = day or date.today().isoformat()\\n    output = output or REPORTS / f\\\"daily_health_report_{day}.md\\\"\\n    c = conn()\\n    try:\\n        ern = list(c.execute(\\\"SELECT mahlzeit,beschreibung,wirkung,notizen FROM ernaehrung WHERE datum=? ORDER BY id\\\", (day,)))\\n        tb = list(c.execute(\\\"SELECT kategori,titel,inhalt,wirkung FROM tagebuch WHERE datum=? ORDER BY id\\\", (day,)))\\n        sym = list(c.execute(\\\"SELECT symptom,schwergrad,wirkung,notizen FROM symptome WHERE datum=? ORDER BY id\\\", (day,)))\\n    finally:\\n        c.close()\\n    lines = [f\\\"# Tagesbericht Gesundheit — {day}\\\", \\\"\\\"]\\n    if not any([ern, tb, sym]):\\n        lines += [\\\"Keine neuen strukturierten Tagesdaten gefunden.\\\"]\\n    if ern:\\n        lines += [\\\"## Ernährung\\\", *[f\\\"- {r['mahlzeit'] or 'Mahlzeit'}: {r['beschreibung']}\\\" + (f\\\" → {r['wirkung']}\\\" if r['wirkung'] else \\\"\\\") for r in ern], \\\"\\\"]\\n    if sym:\\n        lines += [\\\"## Symptome\\\", *[f\\\"- {r['symptom']} ({r['schwergrad'] or 'n/a'})\\\" for r in sym], \\\"\\\"]\\n    if tb:\\n        lines += [\\\"## Tagebuch / Gesundheitsdaten\\\", *[f\\\"- {r['kategori']}: {r['titel']} — {r['inhalt'] or ''}\\\" for r in tb], \\\"\\\"]\\n    lines += [\\\"## Nächste sinnvolle Schritte\\\", \\\"- Offene Korrektur-XLSX prüfen, falls vorhanden.\\\", \\\"- Bei neuen Labor-/Befunddokumenten Verarbeitung abwarten und Freigabe geben.\\\"]\\n    output.write_text(\\\"\\\\n\\\".join(lines), encoding=\\\"utf-8\\\")\\n    c = conn(); c.execute(\\\"INSERT INTO report_runs(report_type, period_start, period_end, output_path, summary) VALUES(?,?,?,?,?)\\\", (\\\"daily\\\", day, day, str(output), \\\"Tagesbericht generiert\\\")); c.commit(); c.close()\\n    return output\\n\\n\\ndef generate_weekly_report(end_day: str | None = None, output: Path | None = None) -> Path:\\n    ensure_dirs()\\n    end = datetime.strptime(end_day, \\\"%Y-%m-%d\\\").date() if end_day else date.today()\\n    start = end - timedelta(days=6)\\n    output = output or REPORTS / f\\\"weekly_health_report_{start.isoformat()}_{end.isoformat()}.md\\\"\\n    c = conn()\\n    try:\\n        docs = c.execute(\\\"SELECT count(*) FROM dokumente WHERE date(upload_datum) BETWEEN ? AND ?\\\", (start.isoformat(), end.isoformat())).fetchone()[0]\\n        ern = c.execute(\\\"SELECT count(*) FROM ernaehrung WHERE datum BETWEEN ? AND ?\\\", (start.isoformat(), end.isoformat())).fetchone()[0]\\n        sym = c.execute(\\\"SELECT count(*) FROM symptome WHERE datum BETWEEN ? AND ?\\\", (start.isoformat(), end.isoformat())).fetchone()[0]\\n        reviews = c.execute(\\\"SELECT count(*) FROM laborwerte_staging WHERE status IN ('zur_pruefung','extrahiert')\\\").fetchone()[0]\\n    finally:\\n        c.close()\\n    lines = [\\n        f\\\"# Wochenbericht Gesundheit — {start.isoformat()} bis {end.isoformat()}\\\", \\\"\\\",\\n        \\\"## Zusammenfassung\\\", f\\\"- Neue/registrierte Dokumente: {docs}\\\", f\\\"- Ernährungseinträge: {ern}\\\", f\\\"- Symptomeinträge: {sym}\\\", f\\\"- Offene Labor-Korrekturen: {reviews}\\\", \\\"\\\",\\n        \\\"## Einschätzung\\\", \\\"- Korrelationen werden belastbarer, sobald YAZIO-/Wearable-Daten täglich vollständig und Laborwerte validiert sind.\\\", \\\"- Auffälligkeiten sollten als Musterhinweise verstanden und bei medizinischer Relevanz mit Ärztinnen/Ärzten besprochen werden.\\\", \\\"\\\",\\n        \\\"## Offene Aktionen\\\", \\\"- Dokumente ohne Volltext weiter mit Docling nachbearbeiten.\\\", \\\"- Korrektur-XLSX prüfen und danach Freigabe zur Übernahme geben.\\\"\\n    ]\\n    output.write_text(\\\"\\\\n\\\".join(lines), encoding=\\\"utf-8\\\")\\n    c = conn(); c.execute(\\\"INSERT INTO report_runs(report_type, period_start, period_end, output_path, summary) VALUES(?,?,?,?,?)\\\", (\\\"weekly\\\", start.isoformat(), end.isoformat(), str(output), \\\"Wochenbericht generiert\\\")); c.commit(); c.close()\\n    return output\\n\\n\\ndef register_inbox_files() -> int:\\n    ensure_dirs()\\n    c = conn()\\n    count = 0\\n    try:\\n        for p in INBOX.iterdir():\\n            if not p.is_file() or p.name.startswith(\\\".\\\"):\\n                continue\\n            ext = p.suffix.lower()\\n            if ext not in {\\\".pdf\\\", \\\".png\\\", \\\".jpg\\\", \\\".jpeg\\\", \\\".xlsx\\\"}:\\n                continue\\n            data_type = \\\"image\\\" if ext in {\\\".png\\\", \\\".jpg\\\", \\\".jpeg\\\"} else \\\"pdf\\\"\\n            if ext == \\\".xlsx\\\":\\n                data_type = \\\"pdf\\\"  # DB CHECK allows only pdf/image; legacy compromise.\\n            name_l = p.name.lower()\\n            category = \\\"LABOR\\\" if any(x in name_l for x in [\\\"labor\\\", \\\"blut\\\", \\\"chemie\\\", \\\"haemat\\\", \\\"hämat\\\"]) else \\\"BEFUNDE\\\" if any(x in name_l for x in [\\\"befund\\\", \\\"bericht\\\", \\\"mri\\\", \\\"ct\\\", \\\"ultraschall\\\", \\\"röntgen\\\", \\\"roentgen\\\"]) else \\\"SONSTIGES\\\"\\n            exists = c.execute(\\\"SELECT id FROM dokumente WHERE dateipfad=? OR datei_name=?\\\", (str(p), p.name)).fetchone()\\n            if exists:\\n                continue\\n            c.execute(\\\"INSERT INTO dokumente(datei_name,dateipfad,daten_typ,groessekbytes,status,kategorie,quelle,review_status) VALUES(?,?,?,?,?,?,?,?)\\\",\\n                      (p.name, str(p), data_type, int(p.stat().st_size/1024), \\\"neu\\\", category, \\\"inbox\\\", \\\"nicht_geprueft\\\"))\\n            count += 1\\n        c.commit()\\n    finally:\\n        c.close()\\n    return count\\n\\n\\ndef gog_upload(path: Path, parent_id: str) -> str:\\n    cmd = [\\\"gog\\\", \\\"-a\\\", ACCOUNT, \\\"drive\\\", \\\"upload\\\", str(path), \\\"--parent\\\", parent_id, \\\"--json\\\", \\\"--no-input\\\"]\\n    out = subprocess.check_output(cmd, env=GOG_ENV, text=True)\\n    try:\\n        data = json.loads(out)\\n        return data.get(\\\"id\\\") or data.get(\\\"file\\\", {}).get(\\\"id\\\") or out.strip()\\n    except Exception:\\n        return out.strip()\\n\\n\\ndef main() -> None:\\n    ap = argparse.ArgumentParser()\\n    sub = ap.add_subparsers(dest=\\\"cmd\\\", required=True)\\n    sub.add_parser(\\\"generate-lab-report\\\")\\n    p_corr = sub.add_parser(\\\"export-correction\\\"); p_corr.add_argument(\\\"--batch-id\\\"); p_corr.add_argument(\\\"--output\\\")\\n    p_apply = sub.add_parser(\\\"apply-corrections\\\"); p_apply.add_argument(\\\"xlsx\\\"); p_apply.add_argument(\\\"--batch-id\\\")\\n    sub.add_parser(\\\"dashboard\\\")\\n    p_day = sub.add_parser(\\\"daily-report\\\"); p_day.add_argument(\\\"--date\\\")\\n    p_week = sub.add_parser(\\\"weekly-report\\\"); p_week.add_argument(\\\"--end-date\\\")\\n    sub.add_parser(\\\"register-inbox\\\")\\n    p_upload = sub.add_parser(\\\"upload\\\"); p_upload.add_argument(\\\"path\\\"); p_upload.add_argument(\\\"--parent\\\", required=True)\\n    args = ap.parse_args()\\n\\n    if args.cmd == \\\"generate-lab-report\\\":\\n        print(generate_lab_report())\\n    elif args.cmd == \\\"export-correction\\\":\\n        print(export_correction_xlsx(args.batch_id, Path(args.output) if args.output else None))\\n    elif args.cmd == \\\"apply-corrections\\\":\\n        print(f\\\"Übernommen: {apply_corrections(Path(args.xlsx), args.batch_id)}\\\")\\n    elif args.cmd == \\\"dashboard\\\":\\n        print(generate_dashboard())\\n    elif args.cmd == \\\"daily-report\\\":\\n        print(generate_daily_report(args.date))\\n    elif args.cmd == \\\"weekly-report\\\":\\n        print(generate_weekly_report(args.end_date))\\n    elif args.cmd == \\\"register-inbox\\\":\\n        print(f\\\"Registriert: {register_inbox_files()}\\\")\\n    elif args.cmd == \\\"upload\\\":\\n        print(gog_upload(Path(args.path), args.parent))\\n\\n\\nif __name__ == \\\"__main__\\\":\\n    main()\\n\"}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "write_file", "content": "{\"bytes_written\": 23948, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_SzWgJ5L2vcY7dkb4ED9ZpYSU", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": "**Evaluating border usage**\n\nI’m trying to figure out why using Border(*(Side...)) is coming up as invalid. It seems like using positional arguments for left, right, top, and bottom might be okay, but I really need to test this out to be sure. It's puzzling! I want to make sure I'm applying the right syntax, so I’ll give it a shot and see if it sorts itself out. Let’s explore this a bit more!", "finish_reason": "tool_calls", "reasoning_content": "**Evaluating border usage**\n\nI’m trying to figure out why using Border(*(Side...)) is coming up as invalid. It seems like using positional arguments for left, right, top, and bottom might be okay, but I really need to test this out to be sure. It's puzzling! I want to make sure I'm applying the right syntax, so I’ll give it a shot and see if it sorts itself out. Let’s explore this a bit more!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAzCxR7rIBr1Wpmh1U3lqIQNIZkXMPP5SjF551TmJQP3sfAv5S-OjmSl3s1XBDbLCr9rY9uo4_s8amHGNKGjgZJWXcBzhc3lukyMdLzTnkvx4uh-9wmmPULTVphsLeOYBYoA5NvrWLxBxAIuwupQtjwoDJgIU9laGBTp28O1vJDPLL5ZSqGAKlaJF3naOuCIq3eKjGakQrGOAjxTF66S3LgtVWYQAY45xGsT-JmHC8waIceD2pzNvdsQLq9I4bK0gP74AUbmVEsWp8AprNR_xTrzWNEq-1Cv0yyzf-bWtR7SlEgKgBGSgnj1u9r9QuRSqkrlgV8mZ6pCNFDyqawJbvjGuySlpL41wrNsu8Ml3fUGkXaP0H4IyzQX0RdK-43wDQDPeoycEmUvCrlp2j9tzcgJRfkRA_jd_PwCIWoKXmVM5VF89WY3YAYnBxBrRF2Ft1bm_XsNI53TxH8XHMLUHPskRfiiMa7wG9i8FD4DTqGGu7GzegdDMBiERKZQ-rL7QwkSXJ7TlreDcbnOS8GJjIXdEUyImZ6gYW-WfCN69rLSn29knh_yuPqya7bL9L5JjEYzxlz8CCW1Ffa6upwnYCXB2j_5NseGbYW0OprZU6OyYcCwN0aUQTqkxIdCLjhSHYiCkjWW5U2VXa9bHyMwbW2JezhgOsRct-W5EDpbHC5UB90f0-_XBsY_G27eVpCTPx4r0hQyYSvCsLo7BYGu9PeG8y0qJ_SL0naKdtk-SF_SHcKrfzNFmL3wl1cizNmvDROzlNxLhM64Yyz_OHsCekFYtNO_fSjcDaKRyvxNncPRkBOdbn43RzVUvxeqpyEYfOF0i_DE7hTGKipp_WTksjluchhoA8coVb0lJq9yDBv_uzi0OLNz65RputDOfYpB6fAGoCyRWdEW5HILyxH_k4suT5qVr1ADW7FhdviRYMTQiYpn6DMp4ByVLhdf2yVWDDivRYEEEy24I9aw5ih1pf8HBCLpYkRtVxsIizfZyA1n5ZT7Qidl_ljuxqNkUyrKqeKdwtgK1e5efXIif_0aMnRHMkv8uGDgAJTZ-CYHvImuayDeShFrf4W32GJp0Z1Qhijue", "id": "rs_01a11905e3107725016a0330ae05188191bd8d7bfa3ec50a09", "summary": [{"type": "summary_text", "text": "**Evaluating border usage**\n\nI’m trying to figure out why using Border(*(Side...)) is coming up as invalid. It seems like using positional arguments for left, right, top, and bottom might be okay, but I really need to test this out to be sure. It's puzzling! I want to make sure I'm applying the right syntax, so I’ll give it a shot and see if it sorts itself out. Let’s explore this a bit more!"}]}], "tool_calls": [{"id": "call_tKOyuAIx2txUzhftGMp3fW0H", "call_id": "call_tKOyuAIx2txUzhftGMp3fW0H", "response_item_id": "fc_01a11905e3107725016a0330b1f5648191b7e8fabec081dba1", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python3 /home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py generate-lab-report && python3 /home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py export-correction && python3 /home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py dashboard && python3 /home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py daily-report && python3 /home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py weekly-report && python3 /home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py register-inbox\",\"timeout\":300}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"/home/agent/.hermes/assets/Gesundheit/reports/aktuelle_blutwerte.xlsx\\n/home/agent/.hermes/assets/Gesundheit/corrections/KORREKTUR_Laborwerte_reference_20260512_155253.xlsx\\n/home/agent/.hermes/assets/Gesundheit/reports/health_dashboard.html\\n/home/agent/.hermes/assets/Gesundheit/reports/daily_health_report_2026-05-12.md\\n/home/agent/.hermes/assets/Gesundheit/reports/weekly_health_report_2026-05-06_2026-05-12.md\\nRegistriert: 2\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_tKOyuAIx2txUzhftGMp3fW0H", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": "**Considering report generation**\n\nI need to find a replacement for the `generate_labor_report.py` wrapper. It seems important to ensure that the new wrapper will be efficient and meet the requirements. Okay, let me think about what functionalities I want to maintain or improve. I'll need to consider how it integrates with existing systems and if it needs adjustments for compatibility. Alright, I’m on it—time to dive into the details and figure this out!", "finish_reason": "tool_calls", "reasoning_content": "**Considering report generation**\n\nI need to find a replacement for the `generate_labor_report.py` wrapper. It seems important to ensure that the new wrapper will be efficient and meet the requirements. Okay, let me think about what functionalities I want to maintain or improve. I'll need to consider how it integrates with existing systems and if it needs adjustments for compatibility. Alright, I’m on it—time to dive into the details and figure this out!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAzC_fjDxjKY-lLfIU33Pa3WsQPTmVmz1goMnsoYEOFGkDHaX1XZFQwdOGT-EVhxeVqTE1up0BPF7hJk1UZLCpV0vPKgAcv7yVd8ZZmp4gJT6kOwRRc2irWiF15I9sD4tU4xnQqy91GzjP1ZFJiZfeFEYQR3KAx8envsuXgzpyByR7bwNsVg9xfhBXgxi01wnvnwChpEDZ1pK8hBptUwfhoAhYclbEkaNRsJJW-icoIjQStnYnQRadRdIQbejTXXy2njLy9wuTNVkG48pK9wuUeiu4Z81xWtIocRX_LrStBKTXZ9phfcQCzWvlE1sMph_jriYEg0_TxFdZ9rY9xv7Vp1zWFn5cpS_7jkRh39yNzaJk6UYo6s62IGURlP8qtDlOaKm4Ynu_Rg5FrH2VsbGG-LUPPKTk7WrKuVBwaZmweD0dqj22SYy3C0cAu5kAdjyhLHvk4Td-WlC_Rb4N1Imu_34O_3p_002d2wri44ozbuYYaWEKYgfqs9XQLgj_WWYTU4OMpQwA00ADXhDcAX6-x5VpfpkgY9StIfmWlcphKNuQTXlDGDYOqc2z3ev6RIENCpFfwZYoUDCyokoZAB-ZXUf4pnQKSbSeNPfeQw3sW_JCKHvLwh358IV-WrXx7F6OsMMnwNhQGrRj0_Im0MjBoMd18QGhFN6-XHIUBULkDMf_56qvBAzg0BusXTziyNSvg1F9IdH2dIvdtzAZ-Q3nXvCp9YAdVGb8TBvspVs9S-UYxNDe1bgfD0IQvCx1LPVTEDKQuLtWXzCjm_pBfVBaMkLI5uy2g4H4dUeMp1QfC_6BBibDHf__ckJSBlPYx_0sc86fYykVDvgTQU43nhkBxt7LQBnKeFlgPytrdx0k5a1Y5sAPvNA4kcWkzhLKial3AnHbDkLLWYxaIq4KGgySMH6Nix44pGad6D-rhSK0IJ2dc26_zEE6_mbzwbMqJXYTaR-zDNXjlDLKume8mkOhW0RDQ==", "id": "rs_023b523f771b30ad016a0330bbb95081918c8de926fe7c60f0", "summary": [{"type": "summary_text", "text": "**Considering report generation**\n\nI need to find a replacement for the `generate_labor_report.py` wrapper. It seems important to ensure that the new wrapper will be efficient and meet the requirements. Okay, let me think about what functionalities I want to maintain or improve. I'll need to consider how it integrates with existing systems and if it needs adjustments for compatibility. Alright, I’m on it—time to dive into the details and figure this out!"}]}], "tool_calls": [{"id": "call_gTjrhaiCAjRS8XUzbgS7arKM", "call_id": "call_gTjrhaiCAjRS8XUzbgS7arKM", "response_item_id": "fc_023b523f771b30ad016a0330bfb1dc8191849ed5dbb4b8986c", "type": "function", "function": {"name": "write_file", "arguments": "{\"content\":\"#!/usr/bin/env python3\\n\\\"\\\"\\\"Compatibility wrapper for the JARVIS health pipeline.\\n\\nGenerates `reports/aktuelle_blutwerte.xlsx` in the user-requested format:\\n- one column per lab investigation/date\\n- one row per blood/urine parameter\\n- categories and reference ranges copied from the user-maintained reference XLSX\\n\\nThe implementation lives in `health_pipeline.py` so dashboard, correction and report\\nworkflows use one consistent source of truth.\\n\\\"\\\"\\\"\\nfrom pathlib import Path\\nimport sys\\n\\nSCRIPT_DIR = Path(__file__).resolve().parent\\nsys.path.insert(0, str(SCRIPT_DIR))\\n\\nfrom health_pipeline import generate_lab_report  # noqa: E402\\n\\n\\nif __name__ == \\\"__main__\\\":\\n    print(generate_lab_report())\\n\",\"path\":\"/home/agent/.hermes/assets/Gesundheit/scripts/generate_labor_report.py\"}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "write_file", "content": "{\"bytes_written\": 691, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"_warning\": \"/home/agent/.hermes/assets/Gesundheit/scripts/generate_labor_report.py was last read with offset/limit pagination (partial view). Re-read the whole file before overwriting it.\"}", "tool_call_id": "call_gTjrhaiCAjRS8XUzbgS7arKM", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_VPxnmpP2wu2BwYt4h0UEzn1I", "call_id": "call_VPxnmpP2wu2BwYt4h0UEzn1I", "response_item_id": "fc_0508322439e3bf02016a0330c82aec8191b2c9a3345af70398", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python3 /home/agent/.hermes/assets/Gesundheit/scripts/generate_labor_report.py && python3 - <<'PY'\\nimport openpyxl, os\\np=os.path.expanduser('~/.hermes/assets/Gesundheit/reports/aktuelle_blutwerte.xlsx')\\nwb=openpyxl.load_workbook(p, read_only=True, data_only=True); ws=wb.active\\nprint(ws.max_row, ws.max_column)\\nprint([ws.cell(1,c).value for c in range(1, min(ws.max_column,14)+1)])\\nprint([ws.cell(6,c).value for c in range(1, min(ws.max_column,8)+1)])\\nPY\",\"timeout\":180}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"/home/agent/.hermes/assets/Gesundheit/reports/aktuelle_blutwerte.xlsx\\n93 12\\n['Parameter', 'Referenzbereich', '2021-06-11', '2021-06-15', '2025-05-13', '2025-06-18', '2025-08-27', '2025-09-14', '2025-09-20', '2025-12-29', '2026-01-28', '2026-03-06']\\n['Bakterien', None, None, None, None, None, None, None]\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_VPxnmpP2wu2BwYt4h0UEzn1I", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": "**Evaluating reference files**\n\nI'm noticing an issue with the missing 2026-05-07 because the reference file has 12 columns, while my inbox seems to have 13. I should check the newest items in the inbox since they include this date. It looks like I need to pick a better reference file. I wonder if the attachments are outdated, so I'll need to inspect the inbox file to make sure everything is current and accurate.", "finish_reason": "tool_calls", "reasoning_content": "**Evaluating reference files**\n\nI'm noticing an issue with the missing 2026-05-07 because the reference file has 12 columns, while my inbox seems to have 13. I should check the newest items in the inbox since they include this date. It looks like I need to pick a better reference file. I wonder if the attachments are outdated, so I'll need to inspect the inbox file to make sure everything is current and accurate.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAzDUE8ap7SUuLJ24HKZf5-BXkbT0YDSDo8Py-BdiprD_YAOuYJT8IJ2ZvkUu0LloSe_kF3x4W4iB_BQobmr4FSMmjidebhmtVpn8x9ZNiU7GNQbROqaYgnDLizV8RXB_u7hDvZIOztuYFZ5NA0e8LIPVpyD_v7vwG8c6T3xXJfcFPlJj8E5LL8NrZ-ftIft2Ni3RMTtVXp_BEofz1YGrtoRYuI0uRaaLOPlp6j-kZr99dVxvM2VUaX2cpoKvQD608roNFr4dZSnQ3fPFAzUTsAfNxOZN7iBBkBtizj5tC3W6_-PzaI0QjNGMH0FdyJPnyId-jlNtLoXbYu0sDLsrqskyVe01k_5vBXuThsFdhvAzVniEw_JBcAI4kXqHP6jjghcb8EJvCzi1qQ2-QfMUmvK1Kvgty2Feq7RnSaIEz4zREiho94QlBF1OzY7ZmVycwne1SFITnH1_V7EQlWKQIZb1WfKjxViP9uy7ThBVNyzj8hGr7OY5eFQEbvjCnLC0_He-Hj4p3V4H8ZTYlvWT3315lSEzmM6sORXye1PNMUN6cmBDL0A_GfT8pyQ32k_XsLbH7C8bRstOrHKr4Hf-CNs_7RTV_ugzFlZ7gt5XCnLQV-ejEQ1vhS6krCdMpY0kT02d9RXU1vlQSZ2NGk-FWPcqiRtruiWQ-9Hl44f2WH-hzxRHMg0dnlAYL2PdXIkxKTPuAW8nolpspuLOE7WFjSIQUI1fh8IYaHw0WVg7X5GWZjyD6LoXjI8ZVomYVnlwPrHo9rr7ZkhELRElLXrzpiUcoRmqVIyAr1o7SzOc647PJdzuxDAh38cSd7QWcecaf4OFREHhWT6-pnjAUXebtOxQz0Hch6gWQ92lG_y6R5sksbM6wkodNI2-m0UJkVUYE7K7UrrYFyZ8IuRL63qlTlWQ8R_9ZxcLSSGNzR1gHlpXNkkZxYEMEbuBQIOQnFOXRdSG7kmyw8lYhbMqB0l1UdCO5v30VJ72J3BMcyP2jbFgX1N_pIuFmy5bUkPNOjDcPRnpJ3DOjQEwH2dLVFGpvGN9GoPvU5YlbKRZIbpxZ41HPQJQG_84JPe0I7oCW8cbQQ-CgdAwdR5B7vJUcTG8-iZnVgdWakftEpe3chtPqSBHMd7IGecob8a4uo7R44nWqjpWy38I1wBz5v6gKDzHbRSoRg==", "id": "rs_09ede53f4c391ff7016a0330d0c5e88191a0da6e1ad6d4772c", "summary": [{"type": "summary_text", "text": "**Evaluating reference files**\n\nI'm noticing an issue with the missing 2026-05-07 because the reference file has 12 columns, while my inbox seems to have 13. I should check the newest items in the inbox since they include this date. It looks like I need to pick a better reference file. I wonder if the attachments are outdated, so I'll need to inspect the inbox file to make sure everything is current and accurate."}]}], "tool_calls": [{"id": "call_21OsXgfanFIvyJiawH4HtJqm", "call_id": "call_21OsXgfanFIvyJiawH4HtJqm", "response_item_id": "fc_09ede53f4c391ff7016a0330d4f58481918dc17c915062a05b", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python3 - <<'PY'\\nimport openpyxl, os\\nfor p in ['~/.hermes/assets/Gesundheit/inbox/260510_Laborwerte_Uebersicht.xlsx','~/.hermes/assets/Gesundheit/attachments/Laborwerte_Uebersicht_2021-2025.xlsx']:\\n p=os.path.expanduser(p); wb=openpyxl.load_workbook(p,data_only=True); ws=wb[wb.sheetnames[0]]\\n print(p, ws.max_row, ws.max_column, [ws.cell(1,c).value for c in range(1, ws.max_column+1)])\\nPY\",\"timeout\":120}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"/home/agent/.hermes/assets/Gesundheit/inbox/260510_Laborwerte_Uebersicht.xlsx 1083 15 ['Analyse', 'Referenzbereich', datetime.datetime(2021, 6, 11, 0, 0), datetime.datetime(2021, 6, 15, 0, 0), datetime.datetime(2025, 5, 13, 0, 0), datetime.datetime(2025, 6, 18, 0, 0), datetime.datetime(2025, 8, 27, 0, 0), datetime.datetime(2025, 9, 14, 0, 0), datetime.datetime(2025, 9, 20, 0, 0), datetime.datetime(2025, 12, 17, 0, 0), datetime.datetime(2025, 12, 29, 0, 0), datetime.datetime(2026, 1, 28, 0, 0), datetime.datetime(2026, 3, 6, 0, 0), datetime.datetime(2026, 4, 2, 0, 0), datetime.datetime(2026, 5, 7, 0, 0)]\\n/home/agent/.hermes/assets/Gesundheit/attachments/Laborwerte_Uebersicht_2021-2025.xlsx 1046 12 ['Analyse', 'Referenzbereich', datetime.datetime(2021, 6, 11, 0, 0), datetime.datetime(2021, 6, 15, 0, 0), datetime.datetime(2025, 5, 13, 0, 0), datetime.datetime(2025, 6, 18, 0, 0), datetime.datetime(2025, 8, 27, 0, 0), datetime.datetime(2025, 9, 14, 0, 0), datetime.datetime(2025, 9, 20, 0, 0), datetime.datetime(2025, 12, 29, 0, 0), datetime.datetime(2026, 1, 28, 0, 0), datetime.datetime(2026, 3, 6, 0, 0)]\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_21OsXgfanFIvyJiawH4HtJqm", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": "**Looking for the right reference**\n\nI'm thinking about how to set a reference to the newest file and whether I should copy inbox attachments over. It might be better to avoid that since there’s already a backup in place. I should use REFERENCE_XLSX to choose the newest candidate based on modified time or the maximum number of columns. I’ll also need to patch the function to find the right reference. This way, I can ensure everything is correctly organized!", "finish_reason": "tool_calls", "reasoning_content": "**Looking for the right reference**\n\nI'm thinking about how to set a reference to the newest file and whether I should copy inbox attachments over. It might be better to avoid that since there’s already a backup in place. I should use REFERENCE_XLSX to choose the newest candidate based on modified time or the maximum number of columns. I’ll also need to patch the function to find the right reference. This way, I can ensure everything is correctly organized!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAzDehmqzY-Jt2mvaynmSKUGtgih_AWnrasJAcPG-1ralcUlZxwXuLAcNMUcyEvMHX9_aPIVKzrFyVGHhEkIESbo-TGdEY8qcYYCLHTshDp7uP8B54RzuP8c4cQ8LfrTZ6IWQ2nguxB4szk7syB4Bje0_lcAG8sGbECsTBxBtlLhCbElA8i_76DZLlV0iRjZuHlIIcSKOuNlJ__kXxCCHlVB-fEfhEpteFG7lLac46JOXQf6EGC5hvSS4MeSJUI5dmNtS26i6-pJlss97V9wbtOpuwXRhRp5ee0gIHy19amfRGFuarSRf0yrRSsYP2xBk6trQKDH2LZqThlZHbD6fGUFA1jQN4AwmhB0aAG3IutMhf6oYJQ-oP-ip096oINXTJVC86-x6s6YcOoUIG1OTdxdQOxWN8efO7a7M6-U_qGsYtKhJEJNBHC02dJ6XEAomP4-DSl-bTYw86Ze4b2CuM_VmROfHar5uNfxr9JUo72Cf19uMak6chFEww4daTngnMI8w8AmGNzp3NYoiTas7MQiHxWVjNMTCijQfIZjt-0If2Z7sIwPndlcm9Xx6g7QRwb8hKB3Y7p0Ej6Vr2NNXfy6qMi7PwK9aDddFshOuDHtZh6hIA3oTZYgsKnCCNjHyGdHcyuVkEtdJ6VWm-lKetmjYQrnHTHryC-yE7xBxX_OXX6PMs1X5DQhKiH2-X4rE2IGKCuXu2wzpo9h0ASU48XZH5-gekXccGirBDKmXcWoXZ9cgVeMyg8xlPQylEHiRaZ1LIkJCxn3CWp6cUUZq0klEf0Yex-k3llmRf6UQz9Ef7j9M0bRzbYP0psuSdFkQHYEJTCN-DJYB5_T-Dk7wOTmtSL36HpfkQrEEEwqwyXbK54X6ocwWwHE-BnGhey2zKB3fzNVPpeA2VOsmkUWtEI864-WyCbLbpqoz9Ro75jTDVC5gycpuIpBY9zzP6xmpfG5M82y76Iqv9e5sc9E8NNINrJgZzmJb_Lbt03Ji_0Vx8OB3XNDX6nCr0YHmzTxQG3M6wyqf5i03p_4pA-vXwZhg92bJlFv_ID8-efObWHP4w9nv2aazB2LNnFavNSaYtKfWQY_UguAndoe--QnIFegNB2_XU5mW0GyZwtCAsDbKruo6uWfhwR9I8KpEEsQgKrtGkxYhmFpNfMVR_1s02grJxQ==", "id": "rs_09513f1fd14626ad016a0330db056481918744d468d81fcf3b", "summary": [{"type": "summary_text", "text": "**Looking for the right reference**\n\nI'm thinking about how to set a reference to the newest file and whether I should copy inbox attachments over. It might be better to avoid that since there’s already a backup in place. I should use REFERENCE_XLSX to choose the newest candidate based on modified time or the maximum number of columns. I’ll also need to patch the function to find the right reference. This way, I can ensure everything is correctly organized!"}]}], "tool_calls": [{"id": "call_qrxWTibze9iRgPindR3W7hH0", "call_id": "call_qrxWTibze9iRgPindR3W7hH0", "response_item_id": "fc_09513f1fd14626ad016a0330de1e048191a48749bf688dff63", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"path\":\"/home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\",\"old_string\":\"REFERENCE_XLSX = ATTACHMENTS / \\\"Laborwerte_Uebersicht_2021-2025.xlsx\\\"\",\"new_string\":\"REFERENCE_XLSX = ATTACHMENTS / \\\"Laborwerte_Uebersicht_2021-2025.xlsx\\\"\\nREFERENCE_CANDIDATES = [\\n    INBOX / \\\"260510_Laborwerte_Uebersicht.xlsx\\\",\\n    ATTACHMENTS / \\\"Laborwerte_Uebersicht_2021-2025.xlsx\\\",\\n    BASE / \\\"backup_original\\\" / \\\"attachments\\\" / \\\"Laborwerte_Uebersicht_2021-2025.xlsx\\\",\\n]\"}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\\n+++ b//home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\\n@@ -42,6 +42,11 @@\\n CORRECTIONS = BASE / \\\"corrections\\\"\\n ATTACHMENTS = BASE / \\\"attachments\\\"\\n REFERENCE_XLSX = ATTACHMENTS / \\\"Laborwerte_Uebersicht_2021-2025.xlsx\\\"\\n+REFERENCE_CANDIDATES = [\\n+    INBOX / \\\"260510_Laborwerte_Uebersicht.xlsx\\\",\\n+    ATTACHMENTS / \\\"Laborwerte_Uebersicht_2021-2025.xlsx\\\",\\n+    BASE / \\\"backup_original\\\" / \\\"attachments\\\" / \\\"Laborwerte_Uebersicht_2021-2025.xlsx\\\",\\n+]\\n ACCOUNT = \\\"friday.uplink@gmail.com\\\"\\n GOG_ENV = {\\n     **os.environ,\\n\", \"files_modified\": [\"/home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_qrxWTibze9iRgPindR3W7hH0", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_O1P7BCEcSjZpmKv3aAIFDTG5", "call_id": "call_O1P7BCEcSjZpmKv3aAIFDTG5", "response_item_id": "fc_08ea445799a5dc91016a0330e7c9d08191b732d4d86e6668fd", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"def best_reference_xlsx() -> Path:\\n    existing = [p for p in REFERENCE_CANDIDATES if p.exists()]\\n    if not existing:\\n        return REFERENCE_XLSX\\n    def score(p: Path) -> tuple[int, float]:\\n        try:\\n            wb = load_workbook(p, read_only=False, data_only=True)\\n            ws = wb[wb.sheetnames[0]]\\n            return (int(ws.max_column or 0), p.stat().st_mtime)\\n        except Exception:\\n            return (0, p.stat().st_mtime)\\n    return max(existing, key=score)\\n\\n\\ndef parse_reference_xlsx(path: Path | None = None) -> list[LabValue]:\\n    if path is None:\\n        path = best_reference_xlsx()\\n    if not path.exists():\\n        raise FileNotFoundError(path)\",\"old_string\":\"def parse_reference_xlsx(path: Path = REFERENCE_XLSX) -> list[LabValue]:\\n    if not path.exists():\\n        raise FileNotFoundError(path)\",\"path\":\"/home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\"}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\\n+++ b//home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\\n@@ -127,7 +127,23 @@\\n     return None, None, unit\\n \\n \\n-def parse_reference_xlsx(path: Path = REFERENCE_XLSX) -> list[LabValue]:\\n+def best_reference_xlsx() -> Path:\\n+    existing = [p for p in REFERENCE_CANDIDATES if p.exists()]\\n+    if not existing:\\n+        return REFERENCE_XLSX\\n+    def score(p: Path) -> tuple[int, float]:\\n+        try:\\n+            wb = load_workbook(p, read_only=False, data_only=True)\\n+            ws = wb[wb.sheetnames[0]]\\n+            return (int(ws.max_column or 0), p.stat().st_mtime)\\n+        except Exception:\\n+            return (0, p.stat().st_mtime)\\n+    return max(existing, key=score)\\n+\\n+\\n+def parse_reference_xlsx(path: Path | None = None) -> list[LabValue]:\\n+    if path is None:\\n+        path = best_reference_xlsx()\\n     if not path.exists():\\n         raise FileNotFoundError(path)\\n     wb = load_workbook(path, data_only=True)\\n\", \"files_modified\": [\"/home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_O1P7BCEcSjZpmKv3aAIFDTG5", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_VTjR9noxRvPiqsbVIlO2y0JT", "call_id": "call_VTjR9noxRvPiqsbVIlO2y0JT", "response_item_id": "fc_089f1b3f848e9ec5016a0330f67204819194092b4df3df55c2", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"def generate_lab_report(output: Path = REPORTS / \\\"aktuelle_blutwerte.xlsx\\\", source: Path | None = None) -> Path:\",\"old_string\":\"def generate_lab_report(output: Path = REPORTS / \\\"aktuelle_blutwerte.xlsx\\\", source: Path = REFERENCE_XLSX) -> Path:\",\"path\":\"/home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\"}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\\n+++ b//home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\\n@@ -205,7 +205,7 @@\\n         ws.column_dimensions[letter].width = max_len\\n \\n \\n-def generate_lab_report(output: Path = REPORTS / \\\"aktuelle_blutwerte.xlsx\\\", source: Path = REFERENCE_XLSX) -> Path:\\n+def generate_lab_report(output: Path = REPORTS / \\\"aktuelle_blutwerte.xlsx\\\", source: Path | None = None) -> Path:\\n     ensure_dirs()\\n     values = parse_reference_xlsx(source)\\n     dates, params, matrix, cats, refs = get_lab_matrix(values)\\n\", \"files_modified\": [\"/home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_VTjR9noxRvPiqsbVIlO2y0JT", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_lXePDigIEV6n6ksXF9Sa0eZ5", "call_id": "call_lXePDigIEV6n6ksXF9Sa0eZ5", "response_item_id": "fc_04ac6e543354fb92016a0330fdb1888191852a369275428730", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"def export_correction_xlsx(batch_id: str | None = None, output: Path | None = None, source: Path | None = None) -> Path:\",\"old_string\":\"def export_correction_xlsx(batch_id: str | None = None, output: Path | None = None, source: Path = REFERENCE_XLSX) -> Path:\",\"path\":\"/home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\"}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\\n+++ b//home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\\n@@ -242,7 +242,7 @@\\n     return output\\n \\n \\n-def export_correction_xlsx(batch_id: str | None = None, output: Path | None = None, source: Path = REFERENCE_XLSX) -> Path:\\n+def export_correction_xlsx(batch_id: str | None = None, output: Path | None = None, source: Path | None = None) -> Path:\\n     \\\"\\\"\\\"Export a review workbook. If batch_id exists in staging, export it; otherwise export reference XLSX as initial validated review.\\\"\\\"\\\"\\n     ensure_dirs()\\n     if not batch_id:\\n\", \"files_modified\": [\"/home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_lXePDigIEV6n6ksXF9Sa0eZ5", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_uvvwFrmE5SRGhUPoarwiHEAl", "call_id": "call_uvvwFrmE5SRGhUPoarwiHEAl", "response_item_id": "fc_0a1619ef92148cdf016a033105465c8191aeb19222ad945e97", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"    labs = parse_reference_xlsx() if best_reference_xlsx().exists() else []\",\"old_string\":\"    labs = parse_reference_xlsx() if REFERENCE_XLSX.exists() else []\",\"path\":\"/home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\"}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\\n+++ b//home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\\n@@ -340,7 +340,7 @@\\n def generate_dashboard(output: Path = REPORTS / \\\"health_dashboard.html\\\") -> Path:\\n     ensure_dirs()\\n     counts = db_counts()\\n-    labs = parse_reference_xlsx() if REFERENCE_XLSX.exists() else []\\n+    labs = parse_reference_xlsx() if best_reference_xlsx().exists() else []\\n     dates, params, matrix, cats, refs = get_lab_matrix(labs) if labs else ([], [], {}, {}, {})\\n     key_params = [\\\"C-Reaktives Protein (CRP)\\\", \\\"Leukozyten\\\", \\\"Thrombozyten\\\", \\\"D-Dimer\\\", \\\"LDL-Cholesterin\\\", \\\"HDL-Cholesterin\\\", \\\"Kreatinin\\\", \\\"ALAT (GPT)\\\"]\\n     series = {}\\n\", \"files_modified\": [\"/home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_uvvwFrmE5SRGhUPoarwiHEAl", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_GcFjaPSwGag6qZrj2HVUUBLo", "call_id": "call_GcFjaPSwGag6qZrj2HVUUBLo", "response_item_id": "fc_01890fe2c46fb0b2016a03310ba79881918295a2f65f4f091d", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python3 /home/agent/.hermes/assets/Gesundheit/scripts/generate_labor_report.py && python3 - <<'PY'\\nimport openpyxl, os\\np=os.path.expanduser('~/.hermes/assets/Gesundheit/reports/aktuelle_blutwerte.xlsx')\\nwb=openpyxl.load_workbook(p, read_only=True, data_only=True); ws=wb.active\\nprint(ws.max_row, ws.max_column)\\nprint([ws.cell(1,c).value for c in range(1, ws.max_column+1)])\\nPY\",\"timeout\":180}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"/home/agent/.hermes/assets/Gesundheit/reports/aktuelle_blutwerte.xlsx\\n113 15\\n['Parameter', 'Referenzbereich', '2021-06-11', '2021-06-15', '2025-05-13', '2025-06-18', '2025-08-27', '2025-09-14', '2025-09-20', '2025-12-17', '2025-12-29', '2026-01-28', '2026-03-06', '2026-04-02', '2026-05-07']\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_GcFjaPSwGag6qZrj2HVUUBLo", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": "**Considering database corrections**\n\nI’m thinking I need to apply corrections and potentially populate the database with valid reference values. The user wants a database, and maybe I should use a correction XLSX to apply these directly. There's this mention of needing a trustworthy reference, possibly from the user. I could generate the necessary corrections from the current reference and apply them to populate all values, despite the challenge with duplicates that already exist.", "finish_reason": "tool_calls", "reasoning_content": "**Considering database corrections**\n\nI’m thinking I need to apply corrections and potentially populate the database with valid reference values. The user wants a database, and maybe I should use a correction XLSX to apply these directly. There's this mention of needing a trustworthy reference, possibly from the user. I could generate the necessary corrections from the current reference and apply them to populate all values, despite the challenge with duplicates that already exist.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAzEZYB1DxDGvS31G5-zyc_zvW2DIikADfwYdiA3aIdbuhHjMZmm-ssAuVh95J7g1CoRqpoxe2MBa4ytNtwryHiUZ9XpV3b9pXhE8MgYhIi5xrA2sxW_bt3xhXsF_kpT9MGITqT14ybujB8Gjcd1aMqSXgWAinKVlinvFLtc8MucXmP9KUlmgPchCbhqyCftO4JoOJOlJwr3pyIrYjXItaHvr0F9v1DzhegBG87vftb6iSr-LL5zR6S_Hdz0iZcUs9gr5sCF09iThTjMmj4jRj1H7msTGsD5zRZlisElBWU267V-2kmMO8cHHPhwvfdIA1GUih-mkdN8O5aR2yjVHo9XU-DeEftwz-n7-cLTEVgpHKcXfqxFq61zathxsUiks7AHcrMySuTuNR-A-tKQsSBLYGF8npNbFAS6v56C9baCAn1dGgxG3MXt3Et2y-rv54BvbsmUGVkm31e948zcEs6MFAVVrWoFwAk_eGTsS7bZxCRvoSNDB6mJN6s0mEvgub7CVxp5Ge5BQnRoNgzQgqD629M8avz6_UHTda8YZ5vw-Ynmj5-TEumgKK5VkHjSDH5dacwx5lIwZGiYgopge588UKuOL1RNBVBErAXQBhfnWteGHvhi3uLL1xfRAVGCOhpgZd48LT4LCpr39XWnDVQmtF_jki4Gvlzsj-s2UOSXD2LpGBhNBI25LqS9cnGdbFkc2UBifJ1Oghm-xNmHHvozLc_TLiU_jeKLYjpiUX7UnHOhyHDoox_tAIqkOFs-Ljgc1nuP-zdMUG2bZ5zVp0fFBoaOSQPYPhr6IDkP-KEXk3ONtwnc8AKppp0xzndYL609oETahTvQKUC07BUGlnaKHb_CCL82PFBwsWXmPT9xZD4jP59k_GatyxJW2grXsW2sH97_ZNlyUI47pFAPRPa3KrT8ajd3wzPsB1AVKrzgwFODCyIpoZsEsTKF0p1pp9xmo53SsNQUoHUkj3YRu2znGB3c-LeKld4h7Og0Y0sJjPzFFfyHNiu3IV6E_w4fsius2NpB2axfh5GHLN87KMX2R3GK_agZG24KDDYao-sb_XYoshgJlcundYO1C2FmIeMdNUkMpkAylXB35Ey86D6pOP6B01guiqjFyoUFmc722GVR_1GnsZTHywIAFnCSuhY47L7k9BK6w6RP1WBs9f9HHg6fB9SwahF633be7fYeQLJXo059R6ayfaNCNFhDDZUqC2hxGwS925Q6Wk5K3yKyATjZpgm2AgyrBo7bqJClGRKrT-pJmstYNYA3vy4FGA5q5G4FlCZzIWVtpbSCXKD-nMtOR5-ZgWfa--WjT7eo4fLoNo9FXfFYmAwko1ylrHQJAKbSv3PZY7IBLCRLIRmHbae-xTwEB67wFE6inHmvYzTGtC_AcvuZxQGK2qB2A5Gif7KbHQbGwT5xd3IRIXbJQidajq8eOgC_SJpvs3qvJSjN_5hGWzqZubHjBZmQNKuWF1V2NkAAdz3lptJvaRNIWecqatWE7qOqFJq5DuNM9W2R2670ZAIkn06ne-4GTxZylbYJuPZ_y3P3MKYA1pMMDcA==", "id": "rs_04f7eaa505024ebc016a033113f380819196f5584caf0e897e", "summary": [{"type": "summary_text", "text": "**Considering database corrections**\n\nI’m thinking I need to apply corrections and potentially populate the database with valid reference values. The user wants a database, and maybe I should use a correction XLSX to apply these directly. There's this mention of needing a trustworthy reference, possibly from the user. I could generate the necessary corrections from the current reference and apply them to populate all values, despite the challenge with duplicates that already exist."}]}], "tool_calls": [{"id": "call_DSQtxaaV55Yb8aJ3DdmlwhTd", "call_id": "call_DSQtxaaV55Yb8aJ3DdmlwhTd", "response_item_id": "fc_04f7eaa505024ebc016a033119fe5481919ad1b44982514237", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"CORR=$(python3 /home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py export-correction | tail -1) && echo \\\"$CORR\\\" && python3 /home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py apply-corrections \\\"$CORR\\\" --batch-id initial_reference_20260512 && python3 - <<'PY'\\nimport sqlite3, os\\ncon=sqlite3.connect(os.path.expanduser('~/.hermes/assets/Gesundheit/health_data.db'))\\nprint('validiert', con.execute(\\\"select count(*) from laborwerte where validierungsstatus='validiert'\\\").fetchone()[0])\\nprint('with abnahme', con.execute(\\\"select count(*) from laborwerte where abnahme_datum is not null\\\").fetchone()[0])\\nprint('dates', con.execute(\\\"select count(distinct abnahme_datum) from laborwerte where abnahme_datum is not null\\\").fetchone()[0])\\nPY\",\"timeout\":240}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"Traceback (most recent call last):\\n  File \\\"/home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\\\", line 502, in <module>\\n    main()\\n  File \\\"/home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\\\", line 486, in main\\n    print(export_correction_xlsx(args.batch_id, Path(args.output) if args.output else None))\\n          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n  File \\\"/home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\\\", line 268, in export_correction_xlsx\\n    ws.append([\\\"validiert\\\", v.category, v.parameter, v.value, None, v.value, v.unit, v.reference, v.date, None, None, 1.0, source.name, None, \\\"Referenz-XLSX\\\"])\\n                                                                                                                           ^^^^^^^^^^^\\nAttributeError: 'NoneType' object has no attribute 'name'\\n\\nTraceback (most recent call last):\\n  File \\\"/home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\\\", line 502, in <module>\\n    main()\\n  File \\\"/home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\\\", line 488, in main\\n    print(f\\\"Übernommen: {apply_corrections(Path(args.xlsx), args.batch_id)}\\\")\\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n  File \\\"/home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\\\", line 280, in apply_corrections\\n    wb = load_workbook(path, data_only=True)\\n         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n  File \\\"/home/agent/.hermes/hermes-agent/venv/lib/python3.11/site-packages/openpyxl/reader/excel.py\\\", line 346, in load_workbook\\n    reader = ExcelReader(filename, read_only, keep_vba,\\n             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n  File \\\"/home/agent/.hermes/hermes-agent/venv/lib/python3.11/site-packages/openpyxl/reader/excel.py\\\", line 123, in __init__\\n    self.archive = _validate_archive(fn)\\n                   ^^^^^^^^^^^^^^^^^^^^^\\n  File \\\"/home/agent/.hermes/hermes-agent/venv/lib/python3.11/site-packages/openpyxl/reader/excel.py\\\", line 93, in _validate_archive\\n    raise InvalidFileException(msg)\\nopenpyxl.utils.exceptions.InvalidFileException: openpyxl does not support  file format, please check you can open it with Excel first. Supported formats are: .xlsx,.xlsm,.xltx,.xltm\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_DSQtxaaV55Yb8aJ3DdmlwhTd", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAzEl65zUOKQZf1X3xjI9Tu1utn6UXsoo_L3MpVtFfxJ57x8SoH0F2WAF8aDvIHgt-kTHes_GsOGZpLQ1FrUU6xRAkX7HDRNLeQz5p9Or3E5vUUIG_KxgtvgAHlZedF3deaM-_zTPWLttwyG0X4e9OFooiGTsqZRyfhd6nJwF_qx-H2jHPi5R65FX2tFXb4k9-3CWagtRNeo2-7skZS3OgqBIgOvvNcYWib7B9AAPwVMH0VbThdBeQZXznAIcqdtMt1AunpAZ_xi1IYqN0vnb0kxcpEHGIok2pQXbJHhDaouo_mhK11oAOa2bGsVuCdEr_JE4sYuOtj70-6cxx-UaDrjeujhgQ7uxpxluBA8Vbr6NoRldFDbyoO8IbNItHfV3BG5mYjhcftTnUHo9qPfaTdGOi1l7abQwgUK_jW-8TawAAEfNc90DOYoKH83Tj4k4kDaZC58qQvBIyqlFCpTpGrZDgSJbEqRwdPiMWhcjDNr0QChLgDvSGRPirIelwRtaXewa0jTcvMVZvTFWnbiC3oINW9MzijeYNJYdrlZnERdIJW7s1p-Mo5oB61VRnh_Ejvq1WvuQbcrcdcVKh9DC01G3-jHNCxUl7OvJVnJ2edmg9GgD3EXQSNtLVPy0x86KYVIbRE_SXvaoQDzgqqvTc2_kr-WbpddhwpAEON2F_ggvN_I133bhdgnwalXBrht5-4j8osqBb58niNBG290RFEoMzG3JBFzu_GGA1kWhKyb_-xlhRlGR2jItz0ADo56e8gxMBJsB_17C2rvfO5L9Nc4YdZKkL46uHAokOvWvi8ybdBJUBv24_6sD74jwZIjWbSHNNT6m6hTqC1PxEY8XKzoP2v6TJfRBv2mtUkyWa_gveoCA4yhAjD0ZGd9i8EpJct75rKvMxODnegnZ7uREZogR0yu9tNdnojXCAerzKBcq5DewhXcdOZxWhAJKTZbIC7Sq", "id": "rs_0cd9bcbc2838a134016a033124604881918737408064c6c8ec", "summary": []}], "tool_calls": [{"id": "call_ZInY8xKuTWdDhu3DFCwRBlah", "call_id": "call_ZInY8xKuTWdDhu3DFCwRBlah", "response_item_id": "fc_0cd9bcbc2838a134016a033125422c8191a430fe848382f0f4", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"    else:\\n        source_path = source or best_reference_xlsx()\\n        for v in parse_reference_xlsx(source_path):\\n            ws.append([\\\"validiert\\\", v.category, v.parameter, v.value, None, v.value, v.unit, v.reference, v.date, None, None, 1.0, source_path.name, None, \\\"Referenz-XLSX\\\"])\",\"old_string\":\"    else:\\n        for v in parse_reference_xlsx(source):\\n            ws.append([\\\"validiert\\\", v.category, v.parameter, v.value, None, v.value, v.unit, v.reference, v.date, None, None, 1.0, source.name, None, \\\"Referenz-XLSX\\\"])\",\"path\":\"/home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\"}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\\n+++ b//home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\\n@@ -264,8 +264,9 @@\\n             final = r[\\\"wert_final\\\"] or r[\\\"wert_korrigiert\\\"] or r[\\\"wert_extrahiert\\\"]\\n             ws.append([r[\\\"status\\\"], r[\\\"kategorie\\\"], r[\\\"parameter_name\\\"], r[\\\"wert_extrahiert\\\"], r[\\\"wert_korrigiert\\\"], final, r[\\\"einheit\\\"], r[\\\"referenzbereich\\\"], r[\\\"abnahme_datum\\\"], r[\\\"befund_datum\\\"], r[\\\"flag\\\"], r[\\\"confidence\\\"], r[\\\"quelle\\\"], r[\\\"dokument_id\\\"], r[\\\"kommentar\\\"]])\\n     else:\\n-        for v in parse_reference_xlsx(source):\\n-            ws.append([\\\"validiert\\\", v.category, v.parameter, v.value, None, v.value, v.unit, v.reference, v.date, None, None, 1.0, source.name, None, \\\"Referenz-XLSX\\\"])\\n+        source_path = source or best_reference_xlsx()\\n+        for v in parse_reference_xlsx(source_path):\\n+            ws.append([\\\"validiert\\\", v.category, v.parameter, v.value, None, v.value, v.unit, v.reference, v.date, None, None, 1.0, source_path.name, None, \\\"Referenz-XLSX\\\"])\\n     header_fill = PatternFill(\\\"solid\\\", fgColor=\\\"7030A0\\\")\\n     header_font = Font(color=\\\"FFFFFF\\\", bold=True)\\n     for cell in ws[1]:\\n\", \"files_modified\": [\"/home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_ZInY8xKuTWdDhu3DFCwRBlah", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_hsjRQWS2RSjmbwEdMkvFltWb", "call_id": "call_hsjRQWS2RSjmbwEdMkvFltWb", "response_item_id": "fc_005bac4c0e656081016a03312fd52c819181b05b923c1edc32", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"CORR=$(python3 /home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py export-correction | tail -1) && echo \\\"$CORR\\\" && python3 /home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py apply-corrections \\\"$CORR\\\" --batch-id initial_reference_20260512 && python3 - <<'PY'\\nimport sqlite3, os\\ncon=sqlite3.connect(os.path.expanduser('~/.hermes/assets/Gesundheit/health_data.db'))\\nprint('validiert', con.execute(\\\"select count(*) from laborwerte where validierungsstatus='validiert'\\\").fetchone()[0])\\nprint('with abnahme', con.execute(\\\"select count(*) from laborwerte where abnahme_datum is not null\\\").fetchone()[0])\\nprint('dates', con.execute(\\\"select count(distinct abnahme_datum) from laborwerte where abnahme_datum is not null\\\").fetchone()[0])\\nPY\",\"timeout\":240}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"/home/agent/.hermes/assets/Gesundheit/corrections/KORREKTUR_Laborwerte_reference_20260512_155504.xlsx\\nÜbernommen: 241\\nvalidiert 233\\nwith abnahme 233\\ndates 13\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_hsjRQWS2RSjmbwEdMkvFltWb", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": "**Addressing report generation**\n\nI’m noticing a count mismatch due to updates and possible duplicates. I might need to generate a lab report from the database since the current report is from an xlsx file. It looks like the database is valid, so I’ll consider updating the script. I need to create a correction folder on Google Drive, perhaps under root/health. I should use the command to create the folder while checking existing folder IDs. It’s important to ensure everything is organized!", "finish_reason": "tool_calls", "reasoning_content": "**Addressing report generation**\n\nI’m noticing a count mismatch due to updates and possible duplicates. I might need to generate a lab report from the database since the current report is from an xlsx file. It looks like the database is valid, so I’ll consider updating the script. I need to create a correction folder on Google Drive, perhaps under root/health. I should use the command to create the folder while checking existing folder IDs. It’s important to ensure everything is organized!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAzE_u10wKaG73lbbibQEG7Z9bBF870RGSKikRkduxpGYZUATz5pw5FO7D1A5YK94YXpgMh-cisQJ6-SRY44wUKVZ_UiapsEv0Bn-N7BAav9f-238516MVhrFEXO78jVF1uxxjmQgU2J8QhKO80kHnk9D5vviKfBvUcWajnYWnkB1fhbgJI9XZPj3pXTpVrdiWvq9L6yYIr9PoGedAgTqKuehMykbeZEwWEigx0V2wrNtHZRWvW9EuiqcGUia-XFI_Bcaa542aGREx7aZxpMtQIQyBqt_ciGyhy9pKZdp7oYirQAp1quqNtm5BlE03DEOLr8c9Q2qEVrQWb0GwlqxeVQDOmFJi2YHkeRdkzn8rfxHFydZo0E2G0b1iyJxq2educ1xK3lsr5pA_H6_k3-gpZsBUDQVRYiMC4ClYq2v8rC30g-dz_ANKKoFDrttff9krFExJsCO_IokCM-8svAxLMFkX3p1O2uGOqJco1uCl4ImGQ_yIaWJmE4RG3wkcbsGEzNaRp3Rwdzt5Fk4Dt4LfR3fZNImKWr5290rGe76Q4TpzUUbiKry3Y_okjua_KgQ4dBsxU3LtEW-ylwCRRR1izTvhr5sPCMyvQ3wcez2qixIIiWu80QQKaqpXQKXpkyW2NVePgGHjM6V7Wt_UFsditLP2J_U0iDhR0Ndt-zcWjFjOgOXSdY36Rqi1soyfQgQylZMkUSzk1t8RK9i9If-IT7yuXyotDEmxFgbK8HrEdMFdi-0rM4DXYy1NWzanowsOPkHQ0TK1-_G0J-vCDzruGQElAdfRn3d80726UuVs7xuWVec9S24IxYBRtcc4JLeAKCvP7brufb0b8NCnCFV3aydxkKFlvqeTQFyGwC3WiKzEOu16VruOsRKXyo-3qzD-yWWfnuzEU6UhYrHyKFA8yPyfHtccNJ0Mj8fM66YhxORD5zN2a-23dcaK76iuGzPkEeWtg113AkZCiE4lPHxuw7iIcD-ScOIQcHq1owbelTWEuObZmRgnborwW2RoFlf7SDYQ_zCkBMz4o6Lu4EYCj6wyn4m8C81TdOHI6sF7pEzNnZcU-VdPsVHly_OZgxYo0tuNrM2f1sAUeZ_nI9yUjMM19qiNezrCiWVIyytJVt5myasch2L5_gQENw6UrhgJbPPGQ9t54sORZgk4u7qplBwEOSgfbAMYZFf50o0yPBvFh9Hr12B8We4AEppQ5Yyp0wlR6BQ80lz8azAxyqEI9xpxp7LvVyK6ozV_HzdKILLNMdTUbXWvrb_qw0koPR22_hjxvjmGOGS675CzWKQIs4dNTVtHM0L9uQhk0rkwFs07-U_8cZkV2zOgtpYlTt67xzgU_14-ikCDc3bInp8ro8apEgEh91z5Ppo0D-65ZeK6be5BXJfC9kM_WG63wldJG_RgkjA74Lp_5sUTlEHSpqCEw==", "id": "rs_008ad456abd7510f016a03313b5a1081918cf34fc9159e8258", "summary": [{"type": "summary_text", "text": "**Addressing report generation**\n\nI’m noticing a count mismatch due to updates and possible duplicates. I might need to generate a lab report from the database since the current report is from an xlsx file. It looks like the database is valid, so I’ll consider updating the script. I need to create a correction folder on Google Drive, perhaps under root/health. I should use the command to create the folder while checking existing folder IDs. It’s important to ensure everything is organized!"}]}], "tool_calls": [{"id": "call_XJiP4tfMQDlSPCa8HGrX5FxS", "call_id": "call_XJiP4tfMQDlSPCa8HGrX5FxS", "response_item_id": "fc_008ad456abd7510f016a03313fd9a0819199d1195086e77eb6", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"set -e\\nexport GOG_KEYRING_PASSWORD='LammBitch30' HOME=/home/agent XDG_CONFIG_HOME=/home/agent/.config\\n# Prüfe, ob Korrektur-Ordner schon existiert\\nEXISTING=$(gog -a friday.uplink@gmail.com drive ls --json --no-input | python3 - <<'PY'\\nimport sys,json\\ntry: data=json.load(sys.stdin)\\nexcept Exception: print(''); raise SystemExit\\nfor f in data.get('files',[]):\\n    if f.get('name')=='Gesundheitsdaten Korrektur' and f.get('mimeType')=='application/vnd.google-apps.folder':\\n        print(f.get('id')); break\\nPY\\n)\\nif [ -z \\\"$EXISTING\\\" ]; then\\n  gog -a friday.uplink@gmail.com drive create --mime \\\"application/vnd.google-apps.folder\\\" --name \\\"Gesundheitsdaten Korrektur\\\" --json --no-input > /tmp/health_drive_correction_create.json\\n  cat /tmp/health_drive_correction_create.json\\nelse\\n  echo \\\"EXISTS $EXISTING\\\"\\nfi\",\"timeout\":180}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"\", \"exit_code\": -1, \"error\": \"BLOCKED: Command timed out. Do NOT retry this command.\", \"status\": \"blocked\"}", "tool_call_id": "call_XJiP4tfMQDlSPCa8HGrX5FxS", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": "**Checking potential issues**\n\nIt seems like there might be a timeout issue occurring, possibly due to the python heredoc consuming stdin, which could cause it to hang. I don't want to retry the same approach and run into the same problem again. Maybe a simpler method like searching through Google Drive could be a good way to check the process without running into complications. Let's explore this option to see if it yields better results!", "finish_reason": "tool_calls", "reasoning_content": "**Checking potential issues**\n\nIt seems like there might be a timeout issue occurring, possibly due to the python heredoc consuming stdin, which could cause it to hang. I don't want to retry the same approach and run into the same problem again. Maybe a simpler method like searching through Google Drive could be a good way to check the process without running into complications. Let's explore this option to see if it yields better results!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAzJ6XmnD5jUWk5DZJNSEtFfuagVGbtx8aMq33kJXVJJ6Vk6lpDS7d0wexVFQZO33Pb8M82qlUe6Q_W3_nkphq7EQBWf5mTUHc2GnfMIRyS50trqbEbHSBsatFQl-A4LHb_7McPJZA6w7UI2U0TKHzOGoOIZ-MyjtW_Eh3MOLn3pCXF7GEaMH9dDyfzjMa6YUdFBha4f2mpMh92WQ0r6GUOlVbX5Kx_TZnzKRZilTLwCuxeznPn2fICQH_Pd0xt2Ll3WNhWnOETF6K9PLBDP8aBI2lemx6hlvRS-0OvnIJDH9cEROXrK64-ea7ehHVRkvrnSswocZLdgVR26EiXvmC6j4B27tx1EMYQXhw3wnZZ46981qZNOJNVzhBumDGJYZpenGvSOEMaLxazcJ5h9-Jeh3eKRChTpL-nogUuGDkjB4r4S9-RB4MW4Tzy9m8Gqd9R_GB4Q1C0bpbDql5gaETXQWIFwLL1hhJbYwmtGBaS6F3fkp5O8aOkj9Ju-vsh6hsMwLvsoIHY2SnK9l4_z2BDDOBp3knGu3bI3mxYvJUN5VEnMwzImqm4_WIlWVH5s2De-_9uEGG0XqiAI5rkG_MFRAXlIKQzAwPe9y7p4O-dWOYplEjUN6rFVYM4YbpJtMY8lPWDhHfu2mybn3odRI_eY2eNIzA1-m2p5OJ7qvykjXGtXtdpEbPSe5FYuurTqDKFL1qwzFdkCaYoH4r57FK7zYM74bQpimj7jSNjgqAwiH_OXnTRwFRYBjMwsOtUbTbBKdzCXVyFRa3E1lLT45KrgrcaNDj8T9chiTCz3WEaXKm9X98Axu0N_kyreERU93dy1wqFE0vTSJ-D7D9ZW6la6IILuOE5E27h6cNt_G-PwLu95TjvxoXpxoQdkTADpym8oMHjOr0Shxec3fmWVA4rQXtP-MBKSGJZOVSdT3hNdRwAkc3ipI_f8xZsJGgzdp_9QBX2IKYYwCpy24oFVSuin5iiHCK7iUAcQF8rGmZxxPb2MAGiugJUV4V6gFVHjlWTCRxt--k7LnIVcjw9c-H6gaWJYW__gF7tu-cFgySbXRNWMvTbe3yE00_Y7GTefcQDTk-9GPoBP9JB_XhaWj3KhNcw==", "id": "rs_08e6a6e46b4a94da016a033277a8d081919f8c41bcbfa7ab5e", "summary": [{"type": "summary_text", "text": "**Checking potential issues**\n\nIt seems like there might be a timeout issue occurring, possibly due to the python heredoc consuming stdin, which could cause it to hang. I don't want to retry the same approach and run into the same problem again. Maybe a simpler method like searching through Google Drive could be a good way to check the process without running into complications. Let's explore this option to see if it yields better results!"}]}], "tool_calls": [{"id": "call_e5jBokzMm4dssECszyzyJ4BJ", "call_id": "call_e5jBokzMm4dssECszyzyJ4BJ", "response_item_id": "fc_08e6a6e46b4a94da016a03327a84e08191a9b76f53bb505f75", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"ps -ef | grep '[g]og' || true && test -s /tmp/health_drive_correction_create.json && python3 -m json.tool /tmp/health_drive_correction_create.json || true\",\"timeout\":60}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_e5jBokzMm4dssECszyzyJ4BJ", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAzKBCP22ZiAj-oqK6g6vVoIDBywL6Q5IQVYUXO3hR6B1lCi61RQBn5gZ17BZnPdbKlvemTgFGE_7pNVWHuxhPrxImneMpuCBer9RW3oEwK5yzwWsZ4EDbcAbPK6wXG96Ltlu-WvJphwXeUCDHxcr_ClrfXzruOMJF3HItOLaOjXgHgZgFvxeDaz-fSd9ejuNizJHRW-eNkp3boxcYw9NxGEeFXN86G0l0zVs13gdEFIeIgbm3Z6--5YTZza2GBPn_UQRaBTffHavoJue3HxSa3eGKjfwNmkHEQ7FxrCkP8CioZVGiF118tIvo2Evwd_Z0wKbEBDmzf9dkFuvYbhl3HQvQxrOUEQLDF4JFZFyWLujqiw3qmnqhRLZ6g4CGIZtVq58ZYPQLPqi902y4pwywDP16s8oRHqUQIkHa2AHDm98GOThP-nhp-rBvq1wrqIzVWb2_dmYIxNRJ2qm3z11hhNZO8gfIG0TO8e-wbtKF59kO6aRO5qcPuZ5LxiRyHBm_PZ-PDNoQ_KVbN4Of5sKygCNd-igQVoeELbTiy0h8Mr7V3BZ9rRG9K1vScjqKncHXG7Rc9izsz9mBg_rUstg2hOcSdfxyfn8hnpj-nog1gasNUsvNobktGNG42ub41KW7MnpaffO2iEL9gxWksRwISpi9FB9tENTqmYnTxfzEFU95yAJ2dfBiOQOZKgIQphtYuUpJgldHomgBf_zmu511U4acOwnrCvRLsqdRX04WcFhOVl_53vQiUxDG0Kue5zUkI4qo7Hzmz0eoDNZg9BguhNzReinMbMGP41rrz9WNf1Iy7g6xEwJINGPRODlRI2zDXNH4AJqe_wg2wh8yw77QcAD7FFWVwiIYauDpNqjod8rzvyNIGYJGI3pJFaG774ITZ8f4htbn7Ofq0XG4d9oZZ5a4Kot-jFgC8GX76IvJQPKpPV77t9JhR6x9d3hwqXejayuR3ML53LFDpDyImrt4Axa65BnL2R0TADMaGOSW1u5NVHhvyrUqgkZRmO_8RCQk7D9zUeI_MXG5QqEVGffY9m9DjlNUZLqxRf2r58rHHslS8Y=", "id": "rs_0fab32f3f50d0335016a03327e78ac8191b64dc6d2859ab3af", "summary": []}], "tool_calls": [{"id": "call_nmYJCYnKyz5yKJZ7jdx5Hksy", "call_id": "call_nmYJCYnKyz5yKJZ7jdx5Hksy", "response_item_id": "fc_0fab32f3f50d0335016a0332817f6481919c5634ef654d4ab6", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"GOG_KEYRING_PASSWORD='LammBitch30' HOME=/home/agent XDG_CONFIG_HOME=/home/agent/.config timeout 30s gog -a friday.uplink@gmail.com drive create --help | head -80\",\"timeout\":60}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"unexpected argument create\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_nmYJCYnKyz5yKJZ7jdx5Hksy", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAzKIOe7qfd5FdJwLea6vN5wu4NWcm6JRGgeF6Ozem7HhX3ci3BjmLYm3dKHMz7Slvhg7NIxACW8gsoCQHGuCKrzUMPH3y5jzHXmBAEi8cDuhReQFVJHz6e4ENX4weTMHbr-YlYC4GMo_NhbeJCxUJhEWFTIJewT5NYCGotOtkjIflhG9_Pw41I4IXP3X-KdmM9o0ThNAkvdfYE-hrEBKdofyqTH4YJloxA1L5A8mMb-Uy-NIw4mM83acCcnaG65C77-ns_5Vn6ICtYvFH99xADCW2bozu-M2LNuYBQ48Wk4MHkTostV1uKmPiNjf1onF9St-fGGjv2Xpf5buZGqDN-CRZKaz7UOIAJnK_mzA4yXuTb9uOjyptbiWSMj-JSAaQ3-IMQJ9UDtjpXwPoJcXXkTaqg53scbdluXFSaFKASWDFQXjCp8biNhZzPFmgrtwuBNYfjExfiDFuBl2gThosAi67DfPFbQU6W-DwQKbqwkZ0507Bn5WnPanpORHtNLasYvkH9xlgmkBTaucZcMvIQnAi5edwhpjYTeVQmDoRgtQvlszJmXeGALHhazaA7SQvDpxflwfIo8LK4GQLk_Z6nLDEm3Te7bP8Z8bz7T36XOfV8s9QJZNLS2rL5Twql7E6vDn_3TGTqfgpdLEKXAQ6zO1r-V2X9pz03GIiV7qB9z4jV5uSh8mKMcrpyfXIwVz3gk8lvw19pxpxIfcb_yT9yk7itnPpmyQtXNHi24CuEMUxormYDhHOvo4Jj1Tao00CHq30tq6DP4gqFNu2leX_uyZaI2T8zWHaAxdnD5IuejVlwxvUj1bQ7XMisV89USSVIip5AL-sNN1fgSNL1ggED-N1C_yvGQlTbpiGXEUMzuUUfq1h1sipjevU82EXm-hgQQpyg4CtR91Bi-98uIktwHAuIzBVGgnKvva1eB8eU0em3d5LiohNnF12BJpSUGspXoV0sUFCK3JGzUxyBb41YsLEw==", "id": "rs_0f1ba6ca10dad8ba016a03328554c08191a131588b20bc84eb", "summary": []}], "tool_calls": [{"id": "call_okzOwK5Z9vCrDM37H3LOTZby", "call_id": "call_okzOwK5Z9vCrDM37H3LOTZby", "response_item_id": "fc_0f1ba6ca10dad8ba016a0332887c748191847ad6ec780c26cc", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"GOG_KEYRING_PASSWORD='LammBitch30' HOME=/home/agent XDG_CONFIG_HOME=/home/agent/.config timeout 30s gog drive --help | head -120\",\"timeout\":60}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"Usage: gog drive (drv) <command> [flags]\\nBuild: v0.13.0 (5cd913e)\\n\\nGoogle Drive\\n\\nFlags:\\n  -h, --help                   Show context-sensitive help.\\n      --color=\\\"auto\\\"           Color output: auto|always|never\\n  -a, --account=STRING         Account email for API commands\\n                               (gmail/calendar/chat/classroom/drive/docs/slides/contacts/tasks/people/sheets/forms/appscript/ads)\\n      --client=\\\"\\\"              OAuth client name (selects stored credentials +\\n                               token bucket)\\n      --access-token=STRING    Use provided access token directly (bypasses\\n                               stored refresh tokens; token expires in ~1h)\\n                               ($GOG_ACCESS_TOKEN)\\n      --enable-commands=\\\"\\\"     Comma-separated list of enabled commands;\\n                               dot paths allowed (restricts CLI)\\n      --disable-commands=\\\"\\\"    Comma-separated list of disabled commands;\\n                               dot paths allowed\\n      --gmail-no-send          Block Gmail send operations (agent safety)\\n  -j, --json                   Output JSON to stdout (best for scripting)\\n  -p, --plain                  Output stable, parseable text to stdout (TSV;\\n                               no colors)\\n      --results-only           In JSON mode, emit only the primary result (drops\\n                               envelope fields like nextPageToken)\\n      --select=STRING          In JSON mode, select comma-separated fields\\n                               (best-effort; supports dot paths). Desire path:\\n                               use --fields for most commands.\\n  -n, --dry-run                Do not make changes; print intended actions and\\n                               exit successfully\\n  -y, --force                  Skip confirmations for destructive commands\\n      --no-input               Never prompt; fail instead (useful for CI)\\n  -v, --verbose                Enable verbose logging\\n      --version                Print version and exit\\n\\nCommands:\\n  ls [flags]\\n    List files in a folder (default: root)\\n\\n  search <query> ... [flags]\\n    Full-text search across Drive\\n\\n  get <fileId>\\n    Get file metadata\\n\\n  download <fileId> [flags]\\n    Download a file (exports Google Docs formats)\\n\\n  copy <fileId> <name> [flags]\\n    Copy a file\\n\\n  upload <localPath> [flags]\\n    Upload a file\\n\\n  mkdir <name> [flags]\\n    Create a folder\\n\\n  delete (rm,del) <fileId> [flags]\\n    Move a file to trash (use --permanent to delete forever)\\n\\n  move <fileId> [flags]\\n    Move a file to a different folder\\n\\n  rename <fileId> <newName>\\n    Rename a file or folder\\n\\n  share <fileId> [flags]\\n    Share a file or folder\\n\\n  unshare <fileId> <permissionId>\\n    Remove a permission from a file\\n\\n  permissions <fileId> [flags]\\n    List permissions on a file\\n\\n  url <fileId> ...\\n    Print web URLs for files\\n\\n  comments <command>\\n    Manage comments on files\\n\\n  drives [flags]\\n    List shared drives (Team Drives)\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_okzOwK5Z9vCrDM37H3LOTZby", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_a13nKBCy4vQmHBXfvorJKzPH", "call_id": "call_a13nKBCy4vQmHBXfvorJKzPH", "response_item_id": "fc_017ba76b0caf9202016a03328c8f20819182d565123d231b4f", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"set -e\\nexport GOG_KEYRING_PASSWORD='LammBitch30' HOME=/home/agent XDG_CONFIG_HOME=/home/agent/.config\\nGOG='gog -a friday.uplink@gmail.com --json --no-input'\\n$GOG drive search \\\"name='Gesundheitsdaten Korrektur'\\\" > /tmp/health_drive_search.json || true\\npython3 - <<'PY'\\nimport json, pathlib\\np=pathlib.Path('/tmp/health_drive_search.json')\\nprint(p.read_text()[:2000] if p.exists() else '')\\nPY\",\"timeout\":90}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"{\\n  \\\"files\\\": [],\\n  \\\"nextPageToken\\\": \\\"\\\"\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_a13nKBCy4vQmHBXfvorJKzPH", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_y30xNbxnu1wxE53xBlfmY02d", "call_id": "call_y30xNbxnu1wxE53xBlfmY02d", "response_item_id": "fc_089adcfc7d8b8447016a033294f5308191805bcce79ddb2e7b", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"export GOG_KEYRING_PASSWORD='LammBitch30' HOME=/home/agent XDG_CONFIG_HOME=/home/agent/.config\\n# Create correction folder; --no-input, JSON\\nGOG_KEYRING_PASSWORD='LammBitch30' HOME=/home/agent XDG_CONFIG_HOME=/home/agent/.config timeout 60s gog -a friday.uplink@gmail.com --json --no-input drive mkdir \\\"Gesundheitsdaten Korrektur\\\" > /tmp/health_drive_correction_create.json\\npython3 -m json.tool /tmp/health_drive_correction_create.json\",\"timeout\":90}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"{\\n    \\\"folder\\\": {\\n        \\\"id\\\": \\\"18wPP6yHjdp8XShhue7OZcamcqc09ec9g\\\",\\n        \\\"name\\\": \\\"Gesundheitsdaten Korrektur\\\",\\n        \\\"webViewLink\\\": \\\"https://drive.google.com/drive/folders/18wPP6yHjdp8XShhue7OZcamcqc09ec9g\\\"\\n    }\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_y30xNbxnu1wxE53xBlfmY02d", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": "**Considering file uploads**\n\nI need to upload a correction and a report to Drive. I'll think about using the upload helper, but it might also be a good option to just upload directly to Drive. I wonder which method would be more efficient or save time. I want to make sure I choose the best option for the user! Once I figure it out, I’ll get started on that. Let’s see how it goes!", "finish_reason": "tool_calls", "reasoning_content": "**Considering file uploads**\n\nI need to upload a correction and a report to Drive. I'll think about using the upload helper, but it might also be a good option to just upload directly to Drive. I wonder which method would be more efficient or save time. I want to make sure I choose the best option for the user! Once I figure it out, I’ll get started on that. Let’s see how it goes!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAzKgs6ZQUe4Tg56HtvM2my0FObUJTADYse8a01Vkx3tjS2PAckJUnIGdsMZ-A4F4alT1dxkATI0TKeXOgMli_ZIq5NOls6f-Bl1476ElyAb1FizsRzv4uhyLM3lIbgCrbIuSkSvs2jdi0lEwcrqFXcH_2I6uVOC_MRmSwXsVpS6TT6Qn_jfI7K8SLbWn8n4orGYKHgdemtw1epWfvD5i6d7ei1CAEcpHvhyUv8TSVEs-tS8JYi9GDKK7mWSoMKbdlnbzFk8jp6Zi0w5lWGvKnxlzwBhO_J-cM_bx9H9zFyUIB7yhsedcADAKeEOLNmlDXYTwl4KiGWKRC40R1RKD1cy-tri921HiYOCQxtPFe9VASKDOxAjCc4zNs5gR9otYp7uL7HpRxkUTiZrgGHmI1oxedXieEAIdvJeuCRbFviSdcSm34nNaAKXEKbYjBFSlf2HfMIEo2Lr3_U_xRhs8ZQ26YGMD76rAq-xW__zruPk-tfmgSyLLfVkzTELqJwdKKUCDMw9xSmPWeJZyiSpDzl0wdPsrf_qYLN1zEpNO5NH_XpQWF_E5-T8bq0T5O-uJvxdaX_DWgYBc6IOfDlmqhtKGGj_sybD5ImEb4uOLhBRR6_K6AraUX-hglbumhVNogefakfSSKSH8fwE23Wm0cLE_NU7ieJakv2_PCiuLu-A6pkTzkGs5N145no45mlap_-t02N9qsihv9eptc8EXytAKWb2GwiX1ZHpfGOJOgnYm3ZTVbVxjzvgnbDgkFsRbPMKKavtVJ71ubiPILW_zfh99AfZ7vf-2FKtkUGN9tIpBQhVsbivniJYFGQLwt5sJGJ9DLZsI098O_0P2mfRyJUfKnX6f1QGljbwMtfi4n8FA3zUgUabU2tyG_kQkGGXJQ7O7sdaiaEnpL8l51ADd7Ga6_nNRfOrH4FbKXOQRFftajCPto3zVA9VfdIcVKjUrz-8WlI2vmc57MTQEqEZklvT7xmsH-gQzwUVJIwYT18snHhCnxhQ1YqDbeVvYKoDEP5hDzv3qgW-2oT59Eka71t60fUDE5jHS6OWRQ6fXIsjkwQ4=", "id": "rs_054454ea83d432d3016a03329d61dc8191b5a538a7a404eff2", "summary": [{"type": "summary_text", "text": "**Considering file uploads**\n\nI need to upload a correction and a report to Drive. I'll think about using the upload helper, but it might also be a good option to just upload directly to Drive. I wonder which method would be more efficient or save time. I want to make sure I choose the best option for the user! Once I figure it out, I’ll get started on that. Let’s see how it goes!"}]}], "tool_calls": [{"id": "call_wXO9hYE2Arsp1rFXQqTfbu9I", "call_id": "call_wXO9hYE2Arsp1rFXQqTfbu9I", "response_item_id": "fc_054454ea83d432d3016a0332a03d908191abc98be561bdd85a", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"export GOG_KEYRING_PASSWORD='LammBitch30' HOME=/home/agent XDG_CONFIG_HOME=/home/agent/.config\\nCORR_ID=18wPP6yHjdp8XShhue7OZcamcqc09ec9g\\nLATEST_CORR=$(python3 - <<'PY'\\nimport glob, os\\nfiles=glob.glob(os.path.expanduser('~/.hermes/assets/Gesundheit/corrections/KORREKTUR_Laborwerte_reference_*.xlsx'))\\nprint(max(files, key=os.path.getmtime))\\nPY\\n)\\necho \\\"Uploading $LATEST_CORR\\\"\\ngog -a friday.uplink@gmail.com --json --no-input drive upload \\\"$LATEST_CORR\\\" --parent \\\"$CORR_ID\\\" > /tmp/health_corr_upload.json\\npython3 -m json.tool /tmp/health_corr_upload.json\",\"timeout\":180}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"Uploading /home/agent/.hermes/assets/Gesundheit/corrections/KORREKTUR_Laborwerte_reference_20260512_155504.xlsx\\n{\\n    \\\"file\\\": {\\n        \\\"id\\\": \\\"1hNta5la-F4X2qutweFcwm3B5eaIxci0e\\\",\\n        \\\"mimeType\\\": \\\"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet\\\",\\n        \\\"name\\\": \\\"KORREKTUR_Laborwerte_reference_20260512_155504.xlsx\\\",\\n        \\\"size\\\": \\\"17321\\\",\\n        \\\"webViewLink\\\": \\\"https://docs.google.com/spreadsheets/d/1hNta5la-F4X2qutweFcwm3B5eaIxci0e/edit?usp=drivesdk&ouid=107742912849201648496&rtpof=true&sd=true\\\"\\n    }\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_wXO9hYE2Arsp1rFXQqTfbu9I", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": "**Creating cron scripts**\n\nI need to create scripts for cron in the /.hermes/scripts directory since the cron tool requires relative paths. I’m considering writing a wrapper named health_intake_watchdog.py to run weekly. This no-agent script would only output a message when it's relevant, which seems efficient. I should also take some time to inspect the existing yazio scripts to gather insights before I finalize everything. Let’s see how that goes!", "finish_reason": "tool_calls", "reasoning_content": "**Creating cron scripts**\n\nI need to create scripts for cron in the /.hermes/scripts directory since the cron tool requires relative paths. I’m considering writing a wrapper named health_intake_watchdog.py to run weekly. This no-agent script would only output a message when it's relevant, which seems efficient. I should also take some time to inspect the existing yazio scripts to gather insights before I finalize everything. Let’s see how that goes!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAzKtjlHmedivoYUk_TjZ82nTqlldsHyDI6Xm6IpaFkyYuXAAFVAUT7RQ8KfJ2vsIg4Kybvnv1Gzm22_M50kZO5jZfvJGUmrNz97hCHfjNYiuk3pl7EsYiSM5BS8Dezjx_QqjLpdEGY04WO_iQIRWW6O5bGiQJX_kay81u832IxfUjedg2oos76V2_0YbcoC3tdj0e56hon7d2B5h0hOqUm9ajEA6f7lC7m31I0xa19gFVqq6xfqyk4Mkdl87XtIOmLMbsMFGfzyJvBr3I1VOBlfZ1XhxbrdOq-rDyuy7KKPnczfgCq7eFdqQqn4gPsT1Opq5K7ITnTogsS9QP5DCJqmnEHp6UWujg6fmZ-sJtGEGMgSZ_YIljOzV84jkh9o2T5dTNsHvlUW99kqH3GqSZOiKdBgVR8O3S2AMWx8T2ss3os-V6CzCEAqeLJj5hYodj8DuWRZ4Oo3O-2Kw85FvGmvrlY6JwlRPK8vcxejrAtzp11lD-WFWQF0T1upGR0A_sO8GPCgcJVlpkMYey8x-QuK8bmFokMkK2hu4ig5kOUvO7LrPu5e-n2cEG6AsngCeCYi-HKrC4xIo5-PgToRbaz8A6gI5W0eglyAdkMVU7splqSlvGrGkDFc_u0ah2ylzamKcs-gfPuG-VvRDKs_ovDh5wJsemZ_wouVauzW9fFApn592KGdD8NeccJ8wChUE_eqUVO3Xux7xSYYeYSrNp8Fy4q0VAVnOgmMrRf7lsLaJDP_9GdrGAww8y-BGeHSgTLaeKA_4GY_cLg-kOglLS2wza2DMP_nfPndsCpqKvmU164x5248nebdoIQMUwwhmtRRbKr8ie-USfpkpjpV_hZPKcQ9ZR_Qy5kysR_-w5u8SWiQdlxj453uyFdHaDtsdN6-WgzJ0R0alZ0qgPtCpTHcREY8Hr4HX-tP9UIuO8KItrSeeFN3FCNoNYEEKyql66jcCIZnbKfl2G6cFQhdvweDJtr1wjLKkFlcvgCNkUQF16z2jPJDr2LfB-3q46PJ-6sIdq-vj3AFUyjEnV6xWERt3Cw0KCLGbdR1UDjpWErQh7oDZMLabLuCpXuwaOfnXRc7yP1XfIMjrtbMFhV3qAFD-ITequE3R7h-wQMCAdOXAWJ3gE6Y3I_lPAasHmpqNdRJ_ww28oY0fVbdlXpdw3l921owmw1SIBSK5wLgOOYwo92xx7GUhnB3ctaEEXr19nLkkCQYw9e81mFJm-qo9BzbXkw==", "id": "rs_07371b576764778b016a0332aa21b88191a9c55ebdc680f15d", "summary": [{"type": "summary_text", "text": "**Creating cron scripts**\n\nI need to create scripts for cron in the /.hermes/scripts directory since the cron tool requires relative paths. I’m considering writing a wrapper named health_intake_watchdog.py to run weekly. This no-agent script would only output a message when it's relevant, which seems efficient. I should also take some time to inspect the existing yazio scripts to gather insights before I finalize everything. Let’s see how that goes!"}]}], "tool_calls": [{"id": "call_3GZATPnKvMTFHmoijOBxzJrI", "call_id": "call_3GZATPnKvMTFHmoijOBxzJrI", "response_item_id": "fc_07371b576764778b016a0332adea0c81919421b025790a5e5c", "type": "function", "function": {"name": "search_files", "arguments": "{\"target\":\"files\",\"path\":\"/home/agent/.hermes/scripts\",\"pattern\":\"*.py\",\"limit\":100}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "search_files", "content": "{\"total_count\": 3, \"files\": [\"/home/agent/.hermes/scripts/yazio_gesundheitsdaten_sync.py\", \"/home/agent/.hermes/scripts/yazio_sync.py\", \"/home/agent/.hermes/scripts/morning_briefing.py\"]}", "tool_call_id": "call_3GZATPnKvMTFHmoijOBxzJrI", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_S61qPvOJdi6HuT1m5v7jb6rK", "call_id": "call_S61qPvOJdi6HuT1m5v7jb6rK", "response_item_id": "fc_0da01ba96aa6ea00016a0332b324648191a116ae3233ca2b4c", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"/home/agent/.hermes/scripts/yazio_gesundheitsdaten_sync.py\",\"limit\":220}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|#!/usr/bin/env python3\\n     2|\\\"\\\"\\\"Täglich um 23:10: Prüfe Gmail auf Gesundheitsdaten und übertrage ins Tagebuch. Verhindert Duplikate.\\\"\\\"\\\"\\n     3|\\n     4|import subprocess\\n     5|import sqlite3\\n     6|import json\\n     7|import re\\n     8|from datetime import date\\n     9|\\n    10|DB_PATH = \\\"/home/agent/.local/share/health-data.db\\\"\\n    11|GOG = \\\"/home/agent/.local/bin/gog\\\"\\n    12|ACCOUNT = \\\"friday.uplink@gmail.com\\\"\\n    13|KEYRING_PW = \\\"LammBitch30\\\"\\n    14|\\n    15|def run_gog(args):\\n    16|    env = {\\n    17|        \\\"GOG_KEYRING_PASSWORD\\\": KEYRING_PW,\\n    18|        \\\"HOME\\\": \\\"/home/agent\\\",\\n    19|        \\\"XDG_CONFIG_HOME\\\": \\\"/home/agent/.config\\\",\\n    20|    }\\n    21|    result = subprocess.run(\\n    22|        [GOG, \\\"-a\\\", ACCOUNT] + args,\\n    23|        capture_output=True, text=True, env=env\\n    24|    )\\n    25|    return result\\n    26|\\n    27|def is_duplicate(conn, today_str, subject):\\n    28|    \\\"\\\"\\\"Prüfe ob Eintrag mit gleichem Betreff/Quelle bereits existiert.\\\"\\\"\\\"\\n    29|    cur = conn.cursor()\\n    30|    # Suche nach ähnlichen Einträgen\\n    31|    entries = cur.execute(\\\"\\\"\\\"\\n    32|        SELECT id, titel FROM tagebuch \\n    33|        WHERE datum = ? AND kategorie = 'gesundheit'\\n    34|        AND (titel LIKE ? OR titel LIKE ? OR titel LIKE ?)\\n    35|    \\\"\\\"\\\", (today_str, f\\\"%{subject[:20]}%\\\", f\\\"%{today_str}%\\\", \\\"%Gesundheitsdaten%\\\")).fetchall()\\n    36|    return len(entries) > 0\\n    37|\\n    38|def main():\\n    39|    today = date.today()\\n    40|    today_str = today.strftime(\\\"%Y-%m-%d\\\")\\n    41|    today_de = today.strftime(\\\"%d. %B %Y\\\")\\n    42|    \\n    43|    # Suche nach Gesundheitsdaten-E-Mails (heute oder gestern, falls Automation spät sendet)\\n    44|    search_query = \\\"from:quickview.newsflash@gmail.com OR from:gasser.m@icloud.com subject:Gesundheitsdaten newer_than:1d\\\"\\n    45|    \\n    46|    result = run_gog([\\\"gmail\\\", \\\"search\\\", search_query, \\\"--max\\\", \\\"10\\\", \\\"-j\\\"])\\n    47|    \\n    48|    if result.returncode != 0:\\n    49|        print(f\\\"Fehler bei Gmail-Suche: {result.stderr}\\\")\\n    50|        return\\n    51|    \\n    52|    try:\\n    53|        search_data = json.loads(result.stdout)\\n    54|        threads = search_data.get(\\\"threads\\\", [])\\n    55|    except json.JSONDecodeError:\\n    56|        print(\\\"JSON Parse Error:\\\", result.stdout)\\n    57|        return\\n    58|    \\n    59|    if not threads:\\n    60|        print(f\\\"Keine Gesundheitsdaten-E-Mails für {today_str} gefunden\\\")\\n    61|        return\\n    62|    \\n    63|    print(f\\\"Gefunden: {len(threads)} E-Mail(s)\\\")\\n    64|    \\n    65|    conn = sqlite3.connect(DB_PATH)\\n    66|    new_count = 0\\n    67|    dup_count = 0\\n    68|    \\n    69|    for thread in threads:\\n    70|        msg_id = thread.get(\\\"id\\\")\\n    71|        subject = thread.get(\\\"subject\\\", \\\"\\\")\\n    72|        from_addr = thread.get(\\\"from\\\", \\\"\\\")\\n    73|        \\n    74|        print(f\\\"\\\\n--- E-Mail: {subject} ---\\\")\\n    75|        print(f\\\"Von: {from_addr}\\\")\\n    76|        \\n    77|        # Vollständige E-Mail lesen\\n    78|        get_result = run_gog([\\\"gmail\\\", \\\"get\\\", msg_id, \\\"-j\\\"])\\n    79|        \\n    80|        if get_result.returncode != 0:\\n    81|            print(f\\\"Fehler beim Lesen der E-Mail: {get_result.stderr}\\\")\\n    82|            continue\\n    83|        \\n    84|        try:\\n    85|            message = json.loads(get_result.stdout)\\n    86|        except json.JSONDecodeError:\\n    87|            print(\\\"JSON Parse Error:\\\", get_result.stdout)\\n    88|            continue\\n    89|        \\n    90|        body = message.get(\\\"body\\\", \\\"\\\")\\n    91|        \\n    92|        # Prüfe auf Duplikate\\n    93|        if is_duplicate(conn, today_str, subject):\\n    94|            print(f\\\"⚠ Duplikat erkannt — Überspringen\\\")\\n    95|            dup_count += 1\\n    96|            continue\\n    97|        \\n    98|        # Werte extrahieren\\n    99|        values = {}\\n   100|        json_match = re.search(r'\\\\{.*\\\\}', body, re.DOTALL)\\n   101|        if json_match:\\n   102|            try:\\n   103|                values = json.loads(json_match.group())\\n   104|            except:\\n   105|                pass\\n   106|        \\n   107|        # Sauberen Text extrahieren (HTML-Tags entfernen)\\n   108|        clean_body = re.sub(r'<[^>]+>', '', body)\\n   109|        clean_body = re.sub(r'\\\\s+', ' ', clean_body).strip()\\n   110|        \\n   111|        # Ins Tagebuch eintragen\\n   112|        cur = conn.cursor()\\n   113|        cur.execute(\\\"\\\"\\\"\\n   114|            INSERT INTO tagebuch (datum, kategorie, titel, inhalt, wirkung, verknuepft, notizen)\\n   115|            VALUES (?, ?, ?, ?, ?, ?, ?)\\n   116|        \\\"\\\"\\\", (today_str, \\\"gesundheit\\\", f\\\"Gesundheitsdaten: {today_de}\\\", \\n   117|              clean_body, \\\"\\\", \\\"gesundheit\\\", \\n   118|              f\\\"Von: {from_addr}, Betreff: {subject}\\\"))\\n   119|        \\n   120|        conn.commit()\\n   121|        print(f\\\"✓ In Tagebuch eingetragen für {today_de}\\\")\\n   122|        new_count += 1\\n   123|    \\n   124|    conn.close()\\n   125|    print(f\\\"\\\\nZusammenfassung: {new_count} neue, {dup_count} Duplikate übersprungen\\\")\\n   126|\\n   127|if __name__ == \\\"__main__\\\":\\n   128|    main()\\n   129|\", \"total_lines\": 128, \"file_size\": 4176, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_S61qPvOJdi6HuT1m5v7jb6rK", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": "**Fixing the script error**\n\nI see that there's an issue with the script related to the database path, specifically the difference between \"kategorie\" and \"kategori.\" I'll need to either patch this or possibly write a new wrapper to address the problem. I'm wondering if YAZIO also needs attention in this context. There’s a lot to think through, but I’ll make sure to take the right steps to fix this!", "finish_reason": "tool_calls", "reasoning_content": "**Fixing the script error**\n\nI see that there's an issue with the script related to the database path, specifically the difference between \"kategorie\" and \"kategori.\" I'll need to either patch this or possibly write a new wrapper to address the problem. I'm wondering if YAZIO also needs attention in this context. There’s a lot to think through, but I’ll make sure to take the right steps to fix this!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAzK72VsYOZQ8gPZAef-Fs5Bnv9lATnkl9JWUeWUZ74IuHcNGngzyedVh4mKHxt2E_Qjt1RU6i3GoRe1pOXWpnAhtssax6texJtmxjcZM6ww2D8VeMVUgaitwe-KRuxp_K8OS7jUKY_4QPipSnASnKuOU4PzzfL4ALtZQecAP9qs6q23ddETchAjH5bKU2CwFTbeeQDZ3Qf3c7LwYzBW2eIERXedUZJKVkG08-haAvKsWvnuWwVSk5uZAOFR4nUkmp5F-Atvo2b8DGaLDGcwOA6QuS4CTud9XNfDBtR2dXNLRpwv08x8ajEK-9awlsY5DZJYKO1g2ARtLNOZ7aboc7y7-RCchsnLqglPNZT5vwC2pk5UQKcDMRb2PDui9EOaq5DKRpz-33WCW1xCLGO-0N59YoeHVpH0dkXEncqoNV8_PGAC4Hk0JbL0VC4rjS-XDv1y4hxZ9QwcDvAFkTwoPUQGdhBeaf4KV-cTW4bbG-SNtpktzZyOTDHKzcGfNSZ1cbcuiYjyDtnPO_s4mzhuu4KxBsEwKyuXYNxszeAivxhWkU9_ynftykO73qo0OVx9oLYgokMLYVryqGEQ5y1pifD4ZbtG0aAI6Qa-bCfCGu_nzlt0WCxt--III_ZrVV7vZeMQuKW2eC8qibGo7XNVi_jMcFszvd0HWcCqYpGEytohyq292eZMDhqoHO023wgew6CTmdPINoOqoHYK_OBx1bhLsojTv-Sl9p2_7n0Ylg_Ry1AtDYIoxI8QZICCStKclVAVkwccoZ7FnfMOsp_4XPFGs839SU46wCKxMQiGgbURvO-__yk8Zo-MM-HZ1tlIwLiIziOaKkq0fwH1hpBcK4Fy20BEweyPMngne9syXlo5BSo69T9MuAxj09tONqNMb5ybsplenrtS9Phym3MXXMllalNu7uz275gEN4bBktcOkO7mGYmQrGzYIxX2pxjyZz49Zgq1c-FoRttrvskEvxhiKAboCrCaZkXZO9i4QwwusYTjopiGnSQyEZ6Nj34rnDfBVgiJMMFLyZZKd8L_xDO51Xg==", "id": "rs_0c44add827b78ca3016a0332b7d5888191a1895e554db4435e", "summary": [{"type": "summary_text", "text": "**Fixing the script error**\n\nI see that there's an issue with the script related to the database path, specifically the difference between \"kategorie\" and \"kategori.\" I'll need to either patch this or possibly write a new wrapper to address the problem. I'm wondering if YAZIO also needs attention in this context. There’s a lot to think through, but I’ll make sure to take the right steps to fix this!"}]}], "tool_calls": [{"id": "call_BIhQwgxjGU2YCx6UjBb7NYWf", "call_id": "call_BIhQwgxjGU2YCx6UjBb7NYWf", "response_item_id": "fc_0c44add827b78ca3016a0332bb09b881918fe4f6ce985ce296", "type": "function", "function": {"name": "read_file", "arguments": "{\"limit\":240,\"path\":\"/home/agent/.hermes/scripts/yazio_sync.py\"}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|#!/usr/bin/env python3\\n     2|\\\"\\\"\\\"YAZIO daily sync — fetches yesterday's logged meals and imports them into the health journal.\\\"\\\"\\\"\\n     3|\\n     4|import requests\\n     5|import sqlite3\\n     6|from datetime import date, timedelta\\n     7|import json\\n     8|import os\\n     9|\\n    10|YAZIO_BASE_URL = \\\"https://yzapi.yazio.com/v15\\\"\\n    11|YAZIO_CLIENT_ID = \\\"1_4hiybetvfksgw40o0sog4s884kwc840wwso8go4k8c04goo4c\\\"\\n    12|YAZIO_CLIENT_SECRET = \\\"6rok2m65xuskgkgogw40wkkk8sw0osg84s8cggsc4woos4s8o\\\"\\n    13|DB_PATH = \\\"/home/agent/.local/share/health-data.db\\\"\\n    14|\\n    15|def main():\\n    16|    yesterday = (date.today() - timedelta(days=1)).isoformat()\\n    17|    \\n    18|    # 1. Auth\\n    19|    auth_resp = requests.post(f\\\"{YAZIO_BASE_URL}/oauth/token\\\", json={\\n    20|        \\\"client_id\\\": YAZIO_CLIENT_ID,\\n    21|        \\\"client_secret\\\": YAZIO_CLIENT_SECRET,\\n    22|        \\\"username\\\": \\\"quickview.newsflash@gmail.com\\\",\\n    23|        \\\"password\\\": \\\"juzriq-0dUzje-popxot\\\",\\n    24|        \\\"grant_type\\\": \\\"password\\\"\\n    25|    })\\n    26|    if auth_resp.status_code != 200:\\n    27|        print(\\\"YAZIO auth failed:\\\", auth_resp.text)\\n    28|        return\\n    29|    access_token = auth_resp.json()[\\\"access_token\\\"]\\n    30|    \\n    31|    # 2. Fetch consumed items for yesterday\\n    32|    diary_resp = requests.get(\\n    33|        f\\\"{YAZIO_BASE_URL}/user/consumed-items\\\",\\n    34|        params={\\\"date\\\": yesterday},\\n    35|        headers={\\\"Authorization\\\": f\\\"Bearer {access_token}\\\"}\\n    36|    )\\n    37|    if diary_resp.status_code != 200:\\n    38|        print(\\\"YAZIO diary fetch failed:\\\", diary_resp.text)\\n    39|        return\\n    40|    \\n    41|    diary_data = diary_resp.json()\\n    42|    products = diary_data.get(\\\"products\\\", [])\\n    43|    \\n    44|    if not products:\\n    45|        print(f\\\"No YAZIO items for {yesterday} — silent exit\\\")\\n    46|        return\\n    47|    \\n    48|    # 3. Build meal summary\\n    49|    summary_lines = []\\n    50|    total_kcal = 0\\n    51|    total_protein = 0\\n    52|    total_carb = 0\\n    53|    total_fat = 0\\n    54|    \\n    55|    for item in products:\\n    56|        pid = item[\\\"product_id\\\"]\\n    57|        amount = item[\\\"amount\\\"]\\n    58|        daytime = item[\\\"daytime\\\"].upper()\\n    59|        \\n    60|        prod_resp = requests.get(\\n    61|            f\\\"{YAZIO_BASE_URL}/products/{pid}\\\",\\n    62|            headers={\\\"Authorization\\\": f\\\"Bearer {access_token}\\\"}\\n    63|        )\\n    64|        if prod_resp.status_code != 200:\\n    65|            continue\\n    66|        \\n    67|        prod = prod_resp.json()\\n    68|        name = prod[\\\"name\\\"]\\n    69|        nutrients = prod[\\\"nutrients\\\"]\\n    70|        \\n    71|        kcal = round(nutrients[\\\"energy.energy\\\"] * amount / 1000, 1)\\n    72|        protein = round(nutrients[\\\"nutrient.protein\\\"] * amount, 2)\\n    73|        carb = round(nutrients[\\\"nutrient.carb\\\"] * amount, 2)\\n    74|        fat = round(nutrients[\\\"nutrient.fat\\\"] * amount, 2)\\n    75|        \\n    76|        total_kcal += kcal\\n    77|        total_protein += protein\\n    78|        total_carb += carb\\n    79|        total_fat += fat\\n    80|        \\n    81|        summary_lines.append(\\n    82|            f\\\"- [{daytime}] {name} ({amount}g): {kcal} kcal, {protein}g Protein, {carb}g Kohlenhydrate, {fat}g Fett\\\"\\n    83|        )\\n    84|    \\n    85|    summary = \\\"\\\\n\\\".join(summary_lines)\\n    86|    full_summary = (\\n    87|        f\\\"YAZIO-Ernährung {yesterday}:\\\\n\\\\n\\\"\\n    88|        f\\\"{summary}\\\\n\\\\n\\\"\\n    89|        f\\\"Summe: {total_kcal} kcal | {total_protein}g Protein | {total_carb}g Kohlenhydrate | {total_fat}g Fett\\\"\\n    90|    )\\n    91|    \\n    92|    # 4. Write to database\\n    93|    conn = sqlite3.connect(DB_PATH)\\n    94|    cur = conn.cursor()\\n    95|    \\n    96|    cur.execute(\\\"\\\"\\\"\\n    97|        INSERT INTO tagebuch (datum, kategorie, titel, inhalt, wirkung, verknuepft, notizen)\\n    98|        VALUES (?, ?, ?, ?, ?, ?, ?)\\n    99|    \\\"\\\"\\\", (yesterday, \\\"ernaehrung\\\", f\\\"YAZIO-Ernährung: {yesterday}\\\", full_summary,\\n   100|          \\\"\\\", \\\"yazio\\\", \\\"Automatisch sync via Cron-Job\\\"))\\n   101|    \\n   102|    conn.commit()\\n   103|    conn.close()\\n   104|    \\n   105|    print(f\\\"YAZIO sync complete: {len(products)} items for {yesterday}\\\")\\n   106|    print(full_summary)\\n   107|\\n   108|if __name__ == \\\"__main__\\\":\\n   109|    main()\\n   110|\", \"total_lines\": 109, \"file_size\": 3519, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_BIhQwgxjGU2YCx6UjBb7NYWf", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": "**Planning scripting tasks**\n\nI think there are issues with the current setup, and maybe it's not scheduled correctly. I need to create a combined script for health syncing while keeping credentials hidden. First, I need to write a health_daily_sync.py that sets the correct DB path, uses kategori in the tagebuch, and handles duplicates. I'll also set up cron jobs and consider a no_agent script for syncing that runs through various sources and generates daily reports only when there's new data. I’ll aim to keep everything concise, including a weekly script.", "finish_reason": "tool_calls", "reasoning_content": "**Planning scripting tasks**\n\nI think there are issues with the current setup, and maybe it's not scheduled correctly. I need to create a combined script for health syncing while keeping credentials hidden. First, I need to write a health_daily_sync.py that sets the correct DB path, uses kategori in the tagebuch, and handles duplicates. I'll also set up cron jobs and consider a no_agent script for syncing that runs through various sources and generates daily reports only when there's new data. I’ll aim to keep everything concise, including a weekly script.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAzLHBAcZHu2fHlcZVnirgM1k3z6b8PvAyPDj_4YycCoZYMPSIL-l5vyVH_z9eAxnklLGtJXFVwC7rzqElAnu7a8OAU6HY1Prik-tCUROj-C6qfsC74UrRExKw3nZEoI0sKCwBrlO3OMij8oH4jagqZM0kPTaIsFmNGomOhlD80itkj8hwxoocBk6svo9NyLuzvAaFhD4Sc7pefjpcLdo_e32JcQU6S36zjVDgwo-kR6qmuuntdISCEdpW2pqmoCdB5nFbcTzKYpUsD8tGaMtKrrvBnX8bEv64Hy3j9zrTu7dCKs5W7_Pal756h0aoynYHPj5yHFawxN_YaelhQbAkWWsPNZYBECqDLW3Ro4aT10cwcKh-P-tYhE7GSIXtRZcQ9sH0UIN-LBwatqHzvs7cKcP5pswbpVeidcuF_iejmRxJPMBL4h9BfEMVlnzCFVbijiAyS7T2V4L5yRC7W1bZ0qnUqLJ8DZqw2V7Jc_6fM5BTvO-8hN5L9uIktY8EX4PLcHQT6EOsoKkVdcpJ8NHcWoNFbPqD56a_AKBrXItnGNg-4youRLkxr46B5Di9nRn1PIPR35O0G3EpCPZGqktORV4r1P2r418iAJSsw6fcH8b4L5c4VApR9KIDH0FOtWLrXd2CHmZJe_xv-1DHteBBYEtUdf-wPKe44iU8M9FL7XEPKpsG3IuMH__9dIXnJ9YXOcJVWpaUK1h9o3oOdiFfuGOlAI95t6V-kTrMkx2GFPKwkMFk53ewVbVZZgf2oqDlutSLUWKLyb-f5e2z7RLMlJZrMJ0ZThF6Qbdo6Pocnljou0GcHs3WluAfDfoB_ifouMWSCLmvA5ABttE2ARxuYjQIagy_5Lbb4xkemfwQMdMuA6sy3o457954qYMav5cVb73pbuQlZiC3FvH53WY3O34jCxKR-DpZAV-XMHLowIb0xhS08ZdHgl2tl2CKOj2QqkCxvsvVegY0NKTM6aRUQQPlkDx8iAwZz5kMRoM_-p7EINRjvkJERVCxhmUd58sayxOfXg0CArL90P2Gt2czXcJVxySJP4-mMJbkUdbssXpxrryWu7uITNWTTvzN17DqBDQDZW2YLjF2TWzQ7QxtOjKelNJoa-5qacdHOJObHFWLtd01EHO7aGCk6xmcOIDRbeIzvMd6zPtP4wDW2zFrwf-Ou0b744EdtTom9yBiIzpi4MGnTKk03LytoGTs_lnzW8YH3fvcU0dHmp8di7oQ8DR8lZlLAbJcVNAbOF2oyaW3kZ3OfEBnyZE__UB2hkbR8hKMwOw4zHHyqkDYnLUxJz1z2kUOXP3Hbh-F9bKjumUZIcgVegzvbPyH75XkJzyTCkyzSzsNyg1EgYHVsg5hOFxqzULUiQ4opxoUtFpdovXXWM5Qh_hsKs2zD3GSX12XvwAt_exz5dwDzeoT0TyDXkHhadP1db0AsLFDas5RNPhwvo7zaXiX3pVsZAv_qTL6OsoRGjjFQ-p0smyJ07w85lj4HoiepOtJdrQOxkgHpi3Y889XSx8EMQ8yI4as2jgwuJ2g0mizhccRN04wt7nzzhzjfjgcaWmzMHUfAKYqQ4P1dg-YJTyEbPRtIu1qCaFuz15", "id": "rs_0851f1c8d2fccfbe016a0332c033e881919f6bf146c5b5f23e", "summary": [{"type": "summary_text", "text": "**Planning scripting tasks**\n\nI think there are issues with the current setup, and maybe it's not scheduled correctly. I need to create a combined script for health syncing while keeping credentials hidden. First, I need to write a health_daily_sync.py that sets the correct DB path, uses kategori in the tagebuch, and handles duplicates. I'll also set up cron jobs and consider a no_agent script for syncing that runs through various sources and generates daily reports only when there's new data. I’ll aim to keep everything concise, including a weekly script."}]}], "tool_calls": [{"id": "call_DSImZ0Qj1kLjx5ZEpXnzzHw2", "call_id": "call_DSImZ0Qj1kLjx5ZEpXnzzHw2", "response_item_id": "fc_0851f1c8d2fccfbe016a0332c79a288191be921363a7583a43", "type": "function", "function": {"name": "write_file", "arguments": "{\"content\":\"#!/usr/bin/env python3\\n\\\"\\\"\\\"Daily health sync watchdog.\\n\\n- Registers local inbox files in the health DB.\\n- Imports daily health emails from Gmail into `tagebuch` (correct DB/schema).\\n- Fetches YAZIO diary data for yesterday and stores a summary in `tagebuch` and `ernaehrung`.\\n- Regenerates dashboard/daily report when something changed.\\n- Prints a Telegram-friendly summary only if new data was imported or open reviews exist.\\n\\\"\\\"\\\"\\nfrom __future__ import annotations\\n\\nimport json\\nimport os\\nimport re\\nimport sqlite3\\nimport subprocess\\nimport sys\\nfrom datetime import date, timedelta\\nfrom pathlib import Path\\n\\nimport requests\\n\\nBASE = Path(\\\"/home/agent/.hermes/assets/Gesundheit\\\")\\nDB = BASE / \\\"health_data.db\\\"\\nPIPELINE = BASE / \\\"scripts\\\" / \\\"health_pipeline.py\\\"\\nACCOUNT = \\\"friday.uplink@gmail.com\\\"\\nYAZIO_BASE_URL = \\\"https://yzapi.yazio.com/v15\\\"\\nYAZIO_CLIENT_ID = \\\"1_4hiybetvfksgw40o0sog4s884kwc840wwso8go4k8c04goo4c\\\"\\nYAZIO_CLIENT_SECRET = \\\"6rok2m65xuskgkgogw40wkkk8sw0osg84s8cggsc4woos4s8o\\\"\\nYAZIO_EMAIL = \\\"quickview.newsflash@gmail.com\\\"\\nYAZIO_PASSWORD = \\\"juzriq-0dUzje-popxot\\\"\\nENV = {**os.environ, \\\"HOME\\\": \\\"/home/agent\\\", \\\"XDG_CONFIG_HOME\\\": \\\"/home/agent/.config\\\", \\\"GOG_KEYRING_PASSWORD\\\": os.environ.get(\\\"GOG_KEYRING_PASSWORD\\\", \\\"LammBitch30\\\")}\\n\\n\\ndef db() -> sqlite3.Connection:\\n    c = sqlite3.connect(DB)\\n    c.row_factory = sqlite3.Row\\n    return c\\n\\n\\ndef run(cmd: list[str], timeout: int = 120) -> subprocess.CompletedProcess[str]:\\n    return subprocess.run(cmd, env=ENV, text=True, capture_output=True, timeout=timeout)\\n\\n\\ndef register_inbox() -> int:\\n    r = run([sys.executable, str(PIPELINE), \\\"register-inbox\\\"])\\n    m = re.search(r\\\"Registriert:\\\\s*(\\\\d+)\\\", r.stdout)\\n    return int(m.group(1)) if m else 0\\n\\n\\ndef import_health_emails() -> int:\\n    query = \\\"(from:quickview.newsflash@gmail.com OR from:gasser.m@icloud.com) subject:Gesundheitsdaten newer_than:2d\\\"\\n    r = run([\\\"gog\\\", \\\"-a\\\", ACCOUNT, \\\"gmail\\\", \\\"messages\\\", \\\"search\\\", query, \\\"--max\\\", \\\"10\\\", \\\"--json\\\", \\\"--no-input\\\"])\\n    if r.returncode != 0:\\n        return 0\\n    try:\\n        data = json.loads(r.stdout)\\n    except Exception:\\n        return 0\\n    messages = data.get(\\\"messages\\\") or data.get(\\\"results\\\") or data.get(\\\"threads\\\") or []\\n    imported = 0\\n    con = db()\\n    try:\\n        for msg in messages:\\n            mid = msg.get(\\\"id\\\") or msg.get(\\\"messageId\\\")\\n            if not mid:\\n                continue\\n            g = run([\\\"gog\\\", \\\"-a\\\", ACCOUNT, \\\"gmail\\\", \\\"get\\\", mid, \\\"--json\\\", \\\"--format\\\", \\\"full\\\", \\\"--no-input\\\"])\\n            if g.returncode != 0:\\n                continue\\n            try:\\n                full = json.loads(g.stdout)\\n            except Exception:\\n                continue\\n            subject = full.get(\\\"subject\\\") or full.get(\\\"Subject\\\") or msg.get(\\\"subject\\\") or \\\"Gesundheitsdaten\\\"\\n            body = full.get(\\\"body\\\") or full.get(\\\"text\\\") or full.get(\\\"snippet\\\") or msg.get(\\\"snippet\\\") or \\\"\\\"\\n            body = re.sub(r\\\"<[^>]+>\\\", \\\" \\\", body)\\n            body = re.sub(r\\\"\\\\s+\\\", \\\" \\\", body).strip()\\n            today = date.today().isoformat()\\n            dupe = con.execute(\\\"SELECT id FROM tagebuch WHERE datum=? AND kategori='gesundheit' AND notizen LIKE ?\\\", (today, f\\\"%gmail:{mid}%\\\")).fetchone()\\n            if dupe:\\n                continue\\n            con.execute(\\\"INSERT INTO tagebuch(datum,kategori,titel,inhalt,wirkung,verknuepft,notizen) VALUES(?,?,?,?,?,?,?)\\\", (today, \\\"gesundheit\\\", subject[:120], body, \\\"\\\", \\\"gmail\\\", f\\\"Quelle: gmail:{mid}\\\"))\\n            imported += 1\\n        con.commit()\\n    finally:\\n        con.close()\\n    return imported\\n\\n\\ndef import_yazio() -> int:\\n    day = (date.today() - timedelta(days=1)).isoformat()\\n    con = db()\\n    try:\\n        if con.execute(\\\"SELECT id FROM tagebuch WHERE datum=? AND kategori='ernaehrung' AND verknuepft='yazio'\\\", (day,)).fetchone():\\n            return 0\\n    finally:\\n        con.close()\\n    try:\\n        auth = requests.post(f\\\"{YAZIO_BASE_URL}/oauth/token\\\", json={\\\"client_id\\\": YAZIO_CLIENT_ID, \\\"client_secret\\\": YAZIO_CLIENT_SECRET, \\\"username\\\": YAZIO_EMAIL, \\\"password\\\": YAZIO_PASSWORD, \\\"grant_type\\\": \\\"password\\\"}, timeout=30)\\n        if auth.status_code != 200:\\n            return 0\\n        token = auth.json()[\\\"access_token\\\"]\\n        diary = requests.get(f\\\"{YAZIO_BASE_URL}/user/consumed-items\\\", params={\\\"date\\\": day}, headers={\\\"Authorization\\\": f\\\"Bearer {token}\\\"}, timeout=30)\\n        if diary.status_code != 200:\\n            return 0\\n        products = diary.json().get(\\\"products\\\", []) + diary.json().get(\\\"simple_products\\\", [])\\n        if not products:\\n            return 0\\n    except Exception:\\n        return 0\\n    lines = []\\n    by_meal = {}\\n    for item in products:\\n        meal = str(item.get(\\\"daytime\\\") or \\\"unknown\\\").lower()\\n        amount = item.get(\\\"amount\\\") or item.get(\\\"serving_quantity\\\") or \\\"\\\"\\n        name = item.get(\\\"name\\\") or item.get(\\\"product_name\\\") or item.get(\\\"product_id\\\") or \\\"YAZIO item\\\"\\n        text = f\\\"{name} ({amount}g)\\\" if amount else str(name)\\n        by_meal.setdefault(meal, []).append(text)\\n        lines.append(f\\\"- {meal}: {text}\\\")\\n    summary = \\\"YAZIO-Ernährung \\\" + day + \\\"\\\\n\\\" + \\\"\\\\n\\\".join(lines)\\n    con = db()\\n    try:\\n        con.execute(\\\"INSERT INTO tagebuch(datum,kategori,titel,inhalt,wirkung,verknuepft,notizen) VALUES(?,?,?,?,?,?,?)\\\", (day, \\\"ernaehrung\\\", f\\\"YAZIO-Ernährung: {day}\\\", summary, \\\"\\\", \\\"yazio\\\", \\\"Automatischer YAZIO Sync\\\"))\\n        for meal, entries in by_meal.items():\\n            con.execute(\\\"INSERT INTO ernaehrung(datum,mahlzeit,beschreibung,wirkung,notizen) VALUES(?,?,?,?,?)\\\", (day, meal, \\\"; \\\".join(entries), \\\"\\\", \\\"YAZIO\\\"))\\n        con.commit()\\n    finally:\\n        con.close()\\n    return len(products)\\n\\n\\ndef open_reviews() -> int:\\n    con = db()\\n    try:\\n        return con.execute(\\\"SELECT count(*) FROM laborwerte_staging WHERE status IN ('zur_pruefung','extrahiert')\\\").fetchone()[0]\\n    finally:\\n        con.close()\\n\\n\\ndef regenerate_reports() -> None:\\n    for args in [[\\\"dashboard\\\"], [\\\"daily-report\\\"], [\\\"generate-lab-report\\\"]]:\\n        run([sys.executable, str(PIPELINE)] + args, timeout=180)\\n\\n\\ndef main() -> None:\\n    inbox = register_inbox()\\n    emails = import_health_emails()\\n    yazio = import_yazio()\\n    reviews = open_reviews()\\n    if inbox or emails or yazio or reviews:\\n        regenerate_reports()\\n        print(\\\"## Gesundheitsdaten-Sync\\\")\\n        print(f\\\"- Neue Inbox-Dateien registriert: {inbox}\\\")\\n        print(f\\\"- Neue Gesundheitsdaten-E-Mails importiert: {emails}\\\")\\n        print(f\\\"- Neue YAZIO-Items importiert: {yazio}\\\")\\n        print(f\\\"- Offene Labor-Korrekturen: {reviews}\\\")\\n        print(\\\"- Dashboard und Berichte wurden aktualisiert.\\\")\\n\\n\\nif __name__ == \\\"__main__\\\":\\n    main()\\n\",\"path\":\"/home/agent/.hermes/scripts/health_daily_sync.py\"}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "write_file", "content": "{\"bytes_written\": 6577, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_DSImZ0Qj1kLjx5ZEpXnzzHw2", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_tu3INgVWXRGoERsRvDVNSb6b", "call_id": "call_tu3INgVWXRGoERsRvDVNSb6b", "response_item_id": "fc_0ab2d2fdf9f7de0e016a033311b6888191b7a66e1a5ef63286", "type": "function", "function": {"name": "write_file", "arguments": "{\"content\":\"#!/usr/bin/env python3\\n\\\"\\\"\\\"Weekly health report generator for Hermes cron (script-only).\\\"\\\"\\\"\\nfrom __future__ import annotations\\nimport subprocess, sys\\nfrom pathlib import Path\\nPIPELINE = Path('/home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py')\\nr = subprocess.run([sys.executable, str(PIPELINE), 'weekly-report'], text=True, capture_output=True, timeout=180)\\nif r.returncode != 0:\\n    print('Wochenbericht Fehler:', r.stderr or r.stdout)\\nelse:\\n    path = (r.stdout or '').strip().splitlines()[-1]\\n    print('## Wochenbericht Gesundheit erstellt')\\n    print(f'- Bericht: `{path}`')\\n    print('- Dashboard und aktuelle Blutwerte bleiben über die Reports-Dateien verfügbar.')\\n\",\"path\":\"/home/agent/.hermes/scripts/health_weekly_report.py\"}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "write_file", "content": "{\"bytes_written\": 688, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_tu3INgVWXRGoERsRvDVNSb6b", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_DwRzvxb3akf3LhXvYO5lHqEw", "call_id": "call_DwRzvxb3akf3LhXvYO5lHqEw", "response_item_id": "fc_0b5d738a9eac0ad0016a03331f09e481919e4296501b7c5e5f", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python3 /home/agent/.hermes/scripts/health_daily_sync.py && python3 /home/agent/.hermes/scripts/health_weekly_report.py\",\"timeout\":300}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"## Gesundheitsdaten-Sync\\n- Neue Inbox-Dateien registriert: 0\\n- Neue Gesundheitsdaten-E-Mails importiert: 1\\n- Neue YAZIO-Items importiert: 11\\n- Offene Labor-Korrekturen: 0\\n- Dashboard und Berichte wurden aktualisiert.\\n## Wochenbericht Gesundheit erstellt\\n- Bericht: `/home/agent/.hermes/assets/Gesundheit/reports/weekly_health_report_2026-05-06_2026-05-12.md`\\n- Dashboard und aktuelle Blutwerte bleiben über die Reports-Dateien verfügbar.\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_DwRzvxb3akf3LhXvYO5lHqEw", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": "**Planning cron jobs**\n\nI need to set up or update a cron job. There's an existing e2150 inbox check that might have errors. I’m considering creating a new daily sync at 23:10 and possibly a weekly one too. Maybe I should pause the old one, but I need to get a list first. I already know the ID, but I'll use the cronjob list to make sure everything is organized.", "finish_reason": "tool_calls", "reasoning_content": "**Planning cron jobs**\n\nI need to set up or update a cron job. There's an existing e2150 inbox check that might have errors. I’m considering creating a new daily sync at 23:10 and possibly a weekly one too. Maybe I should pause the old one, but I need to get a list first. I already know the ID, but I'll use the cronjob list to make sure everything is organized.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAzMyaHqxivEmZLZVXLZxmOOLJcEfblYL8ZW5z9W4v1kkswCBH8rSQWQt5oubtZC5JYSTrUdy0c9Ua5qKKzdLf4gFH05d-zZGUCi4bkFcF-5Jjj_dL-oLBb29BWgeHrqqy_hxqaOwDnSL3AffDOnVoPMyniQUGeauuhiIX8BoGF7AZesCiZvshnFUyIOs_L3jE6MbXJBehIS2uSbIUT_cdcWPdoYkRCFDmUZf4SXbFUonCITrg-VNqtLEY9leGh98Th05Nf5w9XGSDUBp27TlED00DP_hkjw-7cDCx8ZUAcYGo3kkcIeFdX0yZBJ6E6gPRjlVgxihSLqEQuL6INEvyrice53ZthuUqLWY2wx-0AxT3-jfRbJYf0zdrQzWiYUST2nxRmKJLY8CyrDtDQyB_iZ8kUidzPQ4kLcQP_BKK18JIMotecQ2jpbLfQiaVIW9nbNZQ175MXrwGTm0RLkDN2C7OpcPSxxQqdDN6z23qwsGm3K9FIYSMS8WYXq55YPHSouBEMM4A7JASKX58aZqfnh7SKkxopvsmaBN9gc2SVfCcnIvkxz3p3bTn_DexAUeP_QGThWV4Er5VVvOdPbzCgt6SQ8Hf5InG0dvJ-_6YGNfqICK0e7x5rT3QdJcb6QDqv2j4vNN6YiLKgRy82n7F3NrJdoQl1gVaA41fBoZNthejmIzlKbyyte7C19WfAe5Va0zQScGtryJf9gzL2owJEC9Yh5ebCua8HU1PzB4Cg9iT5J8F2HrVLfSFyirENClmfF2sJfsrpmtbTVvfaENHm8FQKBgMMir1BJjbkUN5QDaTzZIQJwSATe6EpOeS9slVegsucU5PWccSKPrO7eA-tAqlHjBXhQL4uch7-8bo5wcGgky9A-ldz-odID9w0GlyAx5_kPq_VPP5QraKmE2GtW6T14HArg2zJhcRo7Aqg1XGnbT5w5gKtdIQZXKOseK77AEfPLLRwaTW9h6Po2lWhc_XiS4jCr6YxXNZRzQIhOJLoZjNwE4lZyIWU79zZA4uWCX_CeAp0l-2_YOuW-bNDECTP_I71J8XkaWiowURB91mqWYX76AzH7IfjAqXFCR0_mXWOvPXcIauj9y2nl-q4KYu9FhJ3cggirvFFigFexm6xled3AEsgFkT65uYdpJMpa1oiHDCo9Wg0qr6_UFFj0SIQ==", "id": "rs_0d6fab2bfda864e3016a03332e1ac481918ba6e6caf5c843e9", "summary": [{"type": "summary_text", "text": "**Planning cron jobs**\n\nI need to set up or update a cron job. There's an existing e2150 inbox check that might have errors. I’m considering creating a new daily sync at 23:10 and possibly a weekly one too. Maybe I should pause the old one, but I need to get a list first. I already know the ID, but I'll use the cronjob list to make sure everything is organized."}]}], "tool_calls": [{"id": "call_ftoqOfDXN4Yu7Hs4IxISGm3h", "call_id": "call_ftoqOfDXN4Yu7Hs4IxISGm3h", "response_item_id": "fc_0d6fab2bfda864e3016a0333329c988191bd665a9a3b908016", "type": "function", "function": {"name": "cronjob", "arguments": "{\"action\":\"list\"}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "cronjob", "content": "{\n  \"success\": true,\n  \"count\": 3,\n  \"jobs\": [\n    {\n      \"job_id\": \"847bdbc26edf\",\n      \"name\": \"Morgen-Briefing\",\n      \"skill\": null,\n      \"skills\": [],\n      \"prompt_preview\": \"Du bist JARVIS, der Assistent von M G (Sir). Erstelle ein t\\u00e4gliches Morgen-Briefing.\\n\\nF\\u00dcHRE ZUERST D...\",\n      \"model\": \"openrouter\",\n      \"provider\": \"custom:qwen-3.6-35b-local\",\n      \"base_url\": null,\n      \"schedule\": \"0 5 * * *\",\n      \"repeat\": \"4/365\",\n      \"deliver\": \"origin\",\n      \"next_run_at\": \"2026-05-13T05:00:00+02:00\",\n      \"last_run_at\": \"2026-05-12T05:06:49.075201+02:00\",\n      \"last_status\": \"ok\",\n      \"last_delivery_error\": null,\n      \"enabled\": true,\n      \"state\": \"scheduled\",\n      \"paused_at\": null,\n      \"paused_reason\": null\n    },\n    {\n      \"job_id\": \"e2150e5d908d\",\n      \"name\": \"Gesundheitsdaten Inbox Check\",\n      \"skill\": null,\n      \"skills\": [],\n      \"prompt_preview\": \"Du bist JARVIS, der Assistent von M G. Deine Aufgabe ist es, die Google Drive \\\"Gesundheitsdaten Inbo...\",\n      \"model\": null,\n      \"provider\": null,\n      \"base_url\": null,\n      \"schedule\": \"0 9,21 * * *\",\n      \"repeat\": \"5/730\",\n      \"deliver\": \"origin\",\n      \"next_run_at\": \"2026-05-12T21:00:00+02:00\",\n      \"last_run_at\": \"2026-05-12T09:01:10.980724+02:00\",\n      \"last_status\": \"error\",\n      \"last_delivery_error\": null,\n      \"enabled\": true,\n      \"state\": \"scheduled\",\n      \"paused_at\": null,\n      \"paused_reason\": null\n    },\n    {\n      \"job_id\": \"78a4dd51c834\",\n      \"name\": \"T\\u00e4glicher Ern\\u00e4hrungsstrategie-Check\",\n      \"skill\": \"health-management\",\n      \"skills\": [\n        \"health-management\"\n      ],\n      \"prompt_preview\": \"Du bist JARVIS, der Gesundheitsmanager des Users.\\n\\n## Aufgabe\\nErstelle einen Ern\\u00e4hrungsstrategie-Che...\",\n      \"model\": null,\n      \"provider\": null,\n      \"base_url\": null,\n      \"schedule\": \"0 19 * * *\",\n      \"repeat\": \"forever\",\n      \"deliver\": \"origin\",\n      \"next_run_at\": \"2026-05-12T19:00:00+02:00\",\n      \"last_run_at\": \"2026-05-11T19:01:26.317616+02:00\",\n      \"last_status\": \"ok\",\n      \"last_delivery_error\": null,\n      \"enabled\": true,\n      \"state\": \"scheduled\",\n      \"paused_at\": null,\n      \"paused_reason\": null\n    }\n  ]\n}", "tool_call_id": "call_ftoqOfDXN4Yu7Hs4IxISGm3h", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_jZyGzZYxC5A5CzFDYXJDDWAX", "call_id": "call_jZyGzZYxC5A5CzFDYXJDDWAX", "response_item_id": "fc_072532e8cdf3c178016a03333540048191916f611b3d36e084", "type": "function", "function": {"name": "cronjob", "arguments": "{\"action\":\"pause\",\"job_id\":\"e2150e5d908d\"}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "cronjob", "content": "{\n  \"success\": true,\n  \"job\": {\n    \"job_id\": \"e2150e5d908d\",\n    \"name\": \"Gesundheitsdaten Inbox Check\",\n    \"skill\": null,\n    \"skills\": [],\n    \"prompt_preview\": \"Du bist JARVIS, der Assistent von M G. Deine Aufgabe ist es, die Google Drive \\\"Gesundheitsdaten Inbo...\",\n    \"model\": null,\n    \"provider\": null,\n    \"base_url\": null,\n    \"schedule\": \"0 9,21 * * *\",\n    \"repeat\": \"5/730\",\n    \"deliver\": \"origin\",\n    \"next_run_at\": \"2026-05-12T21:00:00+02:00\",\n    \"last_run_at\": \"2026-05-12T09:01:10.980724+02:00\",\n    \"last_status\": \"error\",\n    \"last_delivery_error\": null,\n    \"enabled\": false,\n    \"state\": \"paused\",\n    \"paused_at\": \"2026-05-12T16:03:34.773180+02:00\",\n    \"paused_reason\": null\n  }\n}", "tool_call_id": "call_jZyGzZYxC5A5CzFDYXJDDWAX", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_XnaY11Qg8pBe9jCdRSvPkgU5", "call_id": "call_XnaY11Qg8pBe9jCdRSvPkgU5", "response_item_id": "fc_043ef15cdbbdc5e5016a0333393f188191a94613b75e84ad05", "type": "function", "function": {"name": "cronjob", "arguments": "{\"action\":\"create\",\"name\":\"Gesundheitsdaten Daily Sync\",\"schedule\":\"10 23 * * *\",\"script\":\"health_daily_sync.py\",\"no_agent\":true,\"deliver\":\"origin\",\"repeat\":365}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "cronjob", "content": "{\n  \"success\": true,\n  \"job_id\": \"2bf4d0a8bedb\",\n  \"name\": \"Gesundheitsdaten Daily Sync\",\n  \"skill\": null,\n  \"skills\": [],\n  \"schedule\": \"10 23 * * *\",\n  \"repeat\": \"365 times\",\n  \"deliver\": \"origin\",\n  \"next_run_at\": \"2026-05-12T23:10:00+02:00\",\n  \"job\": {\n    \"job_id\": \"2bf4d0a8bedb\",\n    \"name\": \"Gesundheitsdaten Daily Sync\",\n    \"skill\": null,\n    \"skills\": [],\n    \"prompt_preview\": \"\",\n    \"model\": null,\n    \"provider\": null,\n    \"base_url\": null,\n    \"schedule\": \"10 23 * * *\",\n    \"repeat\": \"365 times\",\n    \"deliver\": \"origin\",\n    \"next_run_at\": \"2026-05-12T23:10:00+02:00\",\n    \"last_run_at\": null,\n    \"last_status\": null,\n    \"last_delivery_error\": null,\n    \"enabled\": true,\n    \"state\": \"scheduled\",\n    \"paused_at\": null,\n    \"paused_reason\": null,\n    \"script\": \"health_daily_sync.py\",\n    \"no_agent\": true\n  },\n  \"message\": \"Cron job 'Gesundheitsdaten Daily Sync' created.\"\n}", "tool_call_id": "call_XnaY11Qg8pBe9jCdRSvPkgU5", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_I5bw3RjOS3nLqIDw41j1ii1C", "call_id": "call_I5bw3RjOS3nLqIDw41j1ii1C", "response_item_id": "fc_0676ec89db8acf1b016a03333d869081919856e3493fdb95c3", "type": "function", "function": {"name": "cronjob", "arguments": "{\"action\":\"create\",\"deliver\":\"origin\",\"name\":\"Gesundheitsdaten Wochenbericht\",\"no_agent\":true,\"repeat\":104,\"schedule\":\"0 18 * * 0\",\"script\":\"health_weekly_report.py\"}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "cronjob", "content": "{\n  \"success\": true,\n  \"job_id\": \"e9b6fe32c177\",\n  \"name\": \"Gesundheitsdaten Wochenbericht\",\n  \"skill\": null,\n  \"skills\": [],\n  \"schedule\": \"0 18 * * 0\",\n  \"repeat\": \"104 times\",\n  \"deliver\": \"origin\",\n  \"next_run_at\": \"2026-05-17T18:00:00+02:00\",\n  \"job\": {\n    \"job_id\": \"e9b6fe32c177\",\n    \"name\": \"Gesundheitsdaten Wochenbericht\",\n    \"skill\": null,\n    \"skills\": [],\n    \"prompt_preview\": \"\",\n    \"model\": null,\n    \"provider\": null,\n    \"base_url\": null,\n    \"schedule\": \"0 18 * * 0\",\n    \"repeat\": \"104 times\",\n    \"deliver\": \"origin\",\n    \"next_run_at\": \"2026-05-17T18:00:00+02:00\",\n    \"last_run_at\": null,\n    \"last_status\": null,\n    \"last_delivery_error\": null,\n    \"enabled\": true,\n    \"state\": \"scheduled\",\n    \"paused_at\": null,\n    \"paused_reason\": null,\n    \"script\": \"health_weekly_report.py\",\n    \"no_agent\": true\n  },\n  \"message\": \"Cron job 'Gesundheitsdaten Wochenbericht' created.\"\n}", "tool_call_id": "call_I5bw3RjOS3nLqIDw41j1ii1C", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": "**Considering task steps**\n\nI’m thinking I might need to run a cron job since we already have a script. It could also be good to create documentation to update our skill. I should verify the files too. I wonder if I should generate a dashboard after importing the database. Uploading the dashboard isn’t necessary but could be helpful. Lastly, I need to document the workflow in markdown format.", "finish_reason": "tool_calls", "reasoning_content": "**Considering task steps**\n\nI’m thinking I might need to run a cron job since we already have a script. It could also be good to create documentation to update our skill. I should verify the files too. I wonder if I should generate a dashboard after importing the database. Uploading the dashboard isn’t necessary but could be helpful. Lastly, I need to document the workflow in markdown format.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAzNEZOZKKmPsoXguKP2GcOnN4PmykGZ7g575L0YKNTlZhqFwQ_mzOJYBkAhgBCZiaT9e_gShd651j4zpPsPE2s-JzWHvLF5jqTx8k5SNQaB-Uk2UTSv_tTY5SBGObUYJA1-OUVYnFORrq5WmDZ-ETXbZAuWkNFEHVam3Ug7K2ltsYjjhHA-11L2ARvgV-EY6a9Gn5syKxyxrs0bbCje9__m6ufeq10RFGZ5QlcQkkoYjRjRWu8k8DNUDLX3_d9eGl4NPYqgaGJIaFNjGzlYBpX9cOrfyYn1ZxNbktU_6K9hGAZSbOYWfA9ijiWPHDyRNRUa7MNsUdyamN-1zzs0BBIzNqZZyhFZp5st49fu35iu_kXzV9ctDXPhBb4QcItaEr-ykTd3_KogkficxgwLUZ60SMO2JcclYXQdvrc6PNPA_zQvPTbUOR-T8x7pNZW9riLTC7LrNEW72RZ1sYdgzg2N_4m0hOkAEfxTU4AKqg-kkFHZzuoiIH-ZtyfQpXwDLn5SkYXCrNv_YSfSwZRn5xMUlQFHHEuzo5_adAKFtkWLa7YQhkR4nA_YZIWBjMKci2sPm0syn5B43aDtznJNsKLV42TXnRjWF9VI5m63i8zepohOZC_xJhlGRiqIQflqVyGkHQ8Kx-IdurA50_NxiTwi90715u_gfEb8Z6WEFjiMnJuG8N_6WIiac9L4n90FMNR5IcN-bcPxGZx63sC5EPTHYpbbRZuMHivPeyG_XYactkSz5oVrwLNPu2Jvad6fwaXmM97stdC-H1GBHhYL_hkYd5Bduet1sL3X3GnnOi19DpuRPdWGXwmuxS_CY_hfFgiLbkx3Si2d60wXRV2JAJkiQvWV3X_m2jhq1xnTUSd_Q6aJyhIaW3D141YMiISW-OvIiD2D1aetDNkxKJrs0UobOVLC59YxPkdgHduyqtrn43UNGcp8ty1bKPvnvaoW4h4Z3H_wXRkVbIK95KevmXg5BK167Gt_A5unk9n3nNhunhWQchotfwBlvaqC1ZI0j2TIw99NMv374Z7p0zO4RBT43xCNvKmnbeIGGBhnPF_Z64Pl_MnIDDsT256cEmg5LAY_twpUQUUuO6sY-sS3zqa72d9I6eAwd94birkfpEtMfKrTF3DWX2-oDGxVwGN_r8nfl6Xe53pKqGINmABQixicWavrkQstQbL2Os2LoipYD15PHscCkcTCpXX2ojPc83PSk", "id": "rs_057bbb9ed5ed4137016a0333416c3c81919ee225a204ac9a73", "summary": [{"type": "summary_text", "text": "**Considering task steps**\n\nI’m thinking I might need to run a cron job since we already have a script. It could also be good to create documentation to update our skill. I should verify the files too. I wonder if I should generate a dashboard after importing the database. Uploading the dashboard isn’t necessary but could be helpful. Lastly, I need to document the workflow in markdown format."}]}], "tool_calls": [{"id": "call_1AFxkb0b34oMcNwNlBsuDdC0", "call_id": "call_1AFxkb0b34oMcNwNlBsuDdC0", "response_item_id": "fc_057bbb9ed5ed4137016a033344a7888191b45c1d0710f7a159", "type": "function", "function": {"name": "write_file", "arguments": "{\"content\":\"# JARVIS Health Intelligence Workflow\\n\\nStand: 2026-05-12\\n\\n## Ziel\\n\\nDas Gesundheitsmanagement-System sammelt Gesundheitsdokumente, Laborwerte, YAZIO-Ernährungsdaten, tägliche Gesundheitsdaten per E-Mail und manuelle Telegram-Einträge. Kritische Laborwerte werden nicht blind aus OCR übernommen, sondern über ein 4-Augen-Prinzip validiert.\\n\\n## Eingangskanäle\\n\\n1. **E-Mail:** `friday.uplink@gmail.com`\\n   - Laborberichte, Untersuchungsberichte, Arztberichte, tägliche Gesundheitsdaten.\\n2. **Telegram:** Direkte Dateien oder Notizen.\\n3. **Google Drive Inbox:** `Gesundheitsdaten Inbox` (`1HOJXzIjJaUUoLGZgJjAR5V6ZCsOBsGgE`).\\n4. **YAZIO API:** tägliche Ernährungseinträge.\\n5. **Automatischer Gesundheitsdaten-E-Mail-Flow:** tägliche Werte werden ins `tagebuch` geschrieben.\\n\\n## Datenbank-Erweiterungen\\n\\nMigration: `scripts/health_system_migrate.py`\\n\\nNeue Tabellen:\\n\\n- `health_processing_runs` — Batch-/Verarbeitungsläufe.\\n- `laborwerte_staging` — OCR/Docling-Laborwerte vor Freigabe.\\n- `document_insights` — strukturierte Erkenntnisse aus Dokumenten.\\n- `health_daily_summary` — Tageszusammenfassungen.\\n- `health_insights` — Trends/Korrelationen/Auffälligkeiten.\\n- `report_runs` — erzeugte Reports/Dashboards.\\n\\nErweiterte Tabellen:\\n\\n- `laborwerte`: `abnahme_datum`, `befund_datum`, `wert_original`, `quelle`, `validierungsstatus`, `review_batch_id`.\\n- `dokumente`: `quelle`, `review_status`, `processing_quality`.\\n\\n## 4-Augen-Laborworkflow\\n\\n1. Dokument kommt rein.\\n2. Docling/OCR extrahiert Volltext und Laborwerte.\\n3. Laborwerte landen in `laborwerte_staging` mit Status `zur_pruefung`.\\n4. JARVIS erzeugt `KORREKTUR_Laborwerte_<batch>.xlsx`.\\n5. Datei wird in Google Drive Ordner `Gesundheitsdaten Korrektur` abgelegt.\\n6. User prüft/korrigiert die XLSX.\\n7. User schreibt sinngemäß: „Korrekturen übernehmen.“\\n8. JARVIS liest die Korrektur-XLSX und schreibt validierte Werte in `laborwerte`.\\n9. `aktuelle_blutwerte.xlsx`, Dashboard und Berichte werden aktualisiert.\\n\\n## Google Drive Ordner\\n\\n- Inbox: `Gesundheitsdaten Inbox` — `1HOJXzIjJaUUoLGZgJjAR5V6ZCsOBsGgE`\\n- Archiv: `Archiv` — `1H2zXafzbaRobY8XDcPyRpZBE6mXeTcJe`\\n- Korrektur: `Gesundheitsdaten Korrektur` — `18wPP6yHjdp8XShhue7OZcamcqc09ec9g`\\n\\nAktuelle initiale Korrekturdatei:\\n\\n- Drive File: `1hNta5la-F4X2qutweFcwm3B5eaIxci0e`\\n- Lokaler Pfad: `corrections/KORREKTUR_Laborwerte_reference_20260512_155504.xlsx`\\n\\n## Hauptskripte\\n\\n- `scripts/health_pipeline.py`\\n  - `generate-lab-report`\\n  - `export-correction`\\n  - `apply-corrections <xlsx>`\\n  - `dashboard`\\n  - `daily-report`\\n  - `weekly-report`\\n  - `register-inbox`\\n- `scripts/generate_labor_report.py` — Wrapper für `health_pipeline.py generate-lab-report`.\\n- `scripts/health_system_migrate.py` — idempotente DB-Migration mit Backup.\\n- `~/.hermes/scripts/health_daily_sync.py` — Cron-Script für Inbox/Gmail/YAZIO/Dashboard.\\n- `~/.hermes/scripts/health_weekly_report.py` — Cron-Script für Wochenbericht.\\n\\n## Reports\\n\\n- `reports/aktuelle_blutwerte.xlsx` — eine Spalte pro Untersuchung/Datum, eine Zeile pro Parameter.\\n- `reports/health_dashboard.html` — Health Cockpit mit Systemstatus und Labortrends.\\n- `reports/daily_health_report_YYYY-MM-DD.md` — Tagesbericht.\\n- `reports/weekly_health_report_<start>_<end>.md` — Wochenbericht.\\n\\n## Cron Jobs\\n\\n- `2bf4d0a8bedb` — Gesundheitsdaten Daily Sync, täglich 23:10.\\n- `e9b6fe32c177` — Gesundheitsdaten Wochenbericht, Sonntag 18:00.\\n- Alter fehlerhafter Inbox-Check `e2150e5d908d` wurde pausiert.\\n\\n## Wichtig\\n\\n- Laborwerte aus OCR/Docling gelten erst nach Korrektur-Freigabe als `validiert`.\\n- Die User-XLSX `260510_Laborwerte_Uebersicht.xlsx` wird als aktuellste Referenz bevorzugt, weil sie die Spalten bis `2026-05-07` enthält.\\n- `ermittlung_datum` ist nicht das klinische Abnahmedatum; für Trends `abnahme_datum` verwenden.\\n\",\"path\":\"/home/agent/.hermes/assets/Gesundheit/reports/health_intelligence_workflow.md\"}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "write_file", "content": "{\"bytes_written\": 3835, \"dirs_created\": true, \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .md files\"}}", "tool_call_id": "call_1AFxkb0b34oMcNwNlBsuDdC0", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": "**Updating workflow skills**\n\nI realize that I need to update my skills to align with the new workflow. It's interesting to think about how adapting to changes can enhance my efficiency. I'll explore the new tools and techniques involved, ensuring I grasp the concepts fully. Maybe I should also find some resources or courses to help me stay up to date! It feels like keeping my skills fresh is essential in this constantly evolving environment.", "finish_reason": "tool_calls", "reasoning_content": "**Updating workflow skills**\n\nI realize that I need to update my skills to align with the new workflow. It's interesting to think about how adapting to changes can enhance my efficiency. I'll explore the new tools and techniques involved, ensuring I grasp the concepts fully. Maybe I should also find some resources or courses to help me stay up to date! It feels like keeping my skills fresh is essential in this constantly evolving environment.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAzN33Vf70NyONvI36IyhWaXVkfQC8fvYdJrQr6EiyEXTnmkbwjAu0goBV73M8w7d5xXi9WSstsuHuMzhSGiwtNp8niYC8rlg5xbQVhaqvEBJ9w1uFTBifRDd7Zaff13ZpEN7E6B11zx956ZCeeLLDYxppR3k3vrQU5QIYEQNm2IfRQEiZgjVrpVuuYhBXZx-9rqKW31_rGY5BQkVPSp8STe7xMNJtivoPv7GMwpdLmdYRr-nQmd9OL1wtWCnEefDH9hcakoSU6Ne7FQYbHWUysjoaIIfT8O_2Ej50gOgF4wA7fezuRuJSwGE6qgeq6mnSk-bEm7lT4Of3EeJ76pQEC75fNhvgSD04GceppvkdT0A1DnOQJUOly0JNwVXqoiNdp2RXEJA6HDPkXA9RoWKZDwUixnmicE20LVx5UelM0xgbZuYZ-f2yD70Af82hXESXnIBX7b3Hcyif9KxumQyCvzZgDvnMdqUyKBAJ9V6vXpA7drY_77k1Vd8KvJ8rsWuHSaXVNYG7m0UNtZwSHR7ZbUoG45Y4dliZBYL9ss_xNkgpjMt56Rtq4keYZymhGkDUqS9viomA6w3rLP0Mdc-gRoZ9b9L3j_utOZvsifbmkv1btGF73aZZQlRiFWdeKXDApFe0SlH9MdR3B3TV9S2A60BgfbvpGU6r-38q2oZjVodxV8DRB7LpQWvA1g-jnycHb-oqOnp5o1Lj28e7wKJWnP1wLeIFxV5x6smaCXATDyBm-8t5_CWNBjTjh7zaPBqjoqIseedVONUXOqpzUU_UEiKLK8JyIc6UiCo_SPo887tFj98JXMIAmOc731fj96i3KXfV0EyUpqADQ0y-K4lnQpRLCx_i9Fjw4RHh2LE-PXjkU72H320jisqfX9loEEz3e6lmgHVa5iLCdXcuDlmjJoL9Ff0eWmbd9cMXbGzxW79kkJacbdopx1Zb_6W3Zc5oPfN8CB8Y1zBzEG2Xp7RT9u86w==", "id": "rs_0af4482120f71fb4016a0333747fb4819186557e3e5050cf7a", "summary": [{"type": "summary_text", "text": "**Updating workflow skills**\n\nI realize that I need to update my skills to align with the new workflow. It's interesting to think about how adapting to changes can enhance my efficiency. I'll explore the new tools and techniques involved, ensuring I grasp the concepts fully. Maybe I should also find some resources or courses to help me stay up to date! It feels like keeping my skills fresh is essential in this constantly evolving environment."}]}], "tool_calls": [{"id": "call_MFAZFrN4Xa5NdFhAa5Saejbm", "call_id": "call_MFAZFrN4Xa5NdFhAa5Saejbm", "response_item_id": "fc_0af4482120f71fb4016a033377acf881919e849e927663915e", "type": "function", "function": {"name": "skill_manage", "arguments": "{\"action\":\"patch\",\"name\":\"health-data-management\",\"old_string\":\"## Support Files\\n\\n- `references/drive-workflow.md` — Google Drive Befehle, Folder-IDs, Upload/Download-Workflow\",\"new_string\":\"## Health Intelligence Workflow (ab 2026-05-12)\\n\\n- Migration: `scripts/health_system_migrate.py` legt Review-/Staging-/Insight-/Report-Tabellen an und macht vorher ein DB-Backup unter `backups/`.\\n- Hauptpipeline: `scripts/health_pipeline.py` mit Commands `generate-lab-report`, `export-correction`, `apply-corrections`, `dashboard`, `daily-report`, `weekly-report`, `register-inbox`.\\n- Laborwerte werden per 4-Augen-Prinzip verarbeitet: OCR/Docling → `laborwerte_staging` → `KORREKTUR_Laborwerte_<batch>.xlsx` → User-Korrektur → `apply-corrections` → validierte `laborwerte`.\\n- `reports/aktuelle_blutwerte.xlsx` wird im gewünschten Pivot-Format erzeugt: eine Spalte pro Untersuchung/Datum, eine Zeile pro Parameter. Die aktuellste Referenz-XLSX aus `inbox/260510_Laborwerte_Uebersicht.xlsx` wird bevorzugt, weil sie Datums-Spalten bis `2026-05-07` enthält.\\n- Dashboard: `reports/health_dashboard.html`.\\n- Workflow-Dokumentation: `reports/health_intelligence_workflow.md`.\\n- Google Drive Korrektur-Ordner: `Gesundheitsdaten Korrektur` (`18wPP6yHjdp8XShhue7OZcamcqc09ec9g`).\\n- Cron Scripts: `~/.hermes/scripts/health_daily_sync.py` (täglich 23:10) und `~/.hermes/scripts/health_weekly_report.py` (sonntags 18:00). Alter fehlerhafter Inbox-Cron `e2150e5d908d` ist pausiert; neue Jobs: `2bf4d0a8bedb`, `e9b6fe32c177`.\\n\\n## Support Files\\n\\n- `references/drive-workflow.md` — Google Drive Befehle, Folder-IDs, Upload/Download-Workflow\"}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'health-data-management' (1 replacement).\"}", "tool_call_id": "call_MFAZFrN4Xa5NdFhAa5Saejbm", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAzOK8rJH7OfW7OYgyMvxTWw-OFCqon13Gj7xMVeba0OVOenFgzjQXJKqeibL-fVlLoZpam2a9h-MSR1n-HxaOaARWa2lIA8_GdeNTgLtojYDX9QC0XJbH4hpMICFisaRyWxoukMj75RR759dotlq924KbwWPRKjGMQcjmYAeCP0-jgS6AcuxWPgbDNb-X7ndl0wQ8MhwPeoQRa6T-ZUy-Mc-RSGAvwdgdI8tBCdJOgfOiMX5HCioqh4KziRxYxBY-3a0r0HZM1G7ohYaRf-Rnsw8yyAeMp2hWXGk39onja1XlQom9yKhfTY5ckP7RihQmyXqUVVH1ejwavIe0DozIf_1qehuRuqlggxw1T2W3ZmSadLIUr_p5vLCh-VytZHoiJ6BGFBDV638Cl8XzN_pJE0ARx8UDw0ONrG9_f_TjFpmY4QqIR4zva3TS8TyfVXzn9ClQC-T4Jga9EUsGbsxZFzq7FlTOQyfcVn5D9wdARTbN_LeGkuwEKlXrQj14x-HDwq_wdCUc4ZsBfz9p8OMD4uAfe1hNBAjyaBjAIm2cr_si3tQW2iwhAXOlS1qttp1aLqS-2cNlQEUEPPkw76LdfNz_S2j53DHcBufoKW7h8Tb9niLNi7ZoZuECR0FmdOV-lOJdj8nLsQqTzN4ELw9aSxrIdWKBfWzw9pd6SAD5N8JSLtbeIZFVL_MW3stExywW-lgwlbsBajKp6sScRo-TfAQ2YeHRSu8RaQSmNwehqeRsbvyV-O-meqNTDE2p0tMtISdpvA1HB7N5XKkCYgp9Zd-6LtT5aXFm7zRsUACGNsEaYeKD8pd12dQvO88ug1HfyDMS4EFrY8L-UntxV5YULOXuOCw1ISURgejg2hSEgmmZRNGmdu6KyjuGg3Po4qzLagwcA7WZTKb4lfQAc0SOQfbOS8Cyk01vy7gkfgNkupF_wrN5LcK5w-QmY0SXtaa5A3I", "id": "rs_01d0ceedbd4be2b3016a0333898b3481918dfaf7934417d41a", "summary": []}], "tool_calls": [{"id": "call_YHYo4KfYWsko6BHBvauKNtUV", "call_id": "call_YHYo4KfYWsko6BHBvauKNtUV", "response_item_id": "fc_01d0ceedbd4be2b3016a03338a7ec08191ae8f2b8e796f3e15", "type": "function", "function": {"name": "execute_code", "arguments": "{\"code\":\"from hermes_tools import terminal\\ncmd=r'''\\npython3 - <<'PY'\\nimport os, sqlite3, glob\\nbase=os.path.expanduser('~/.hermes/assets/Gesundheit')\\ncon=sqlite3.connect(os.path.join(base,'health_data.db')); con.row_factory=sqlite3.Row\\nprint('tables added:', [r[0] for r in con.execute(\\\"select name from sqlite_master where type='table' and name in ('laborwerte_staging','health_insights','report_runs','health_processing_runs','health_daily_summary','document_insights') order by name\\\")])\\nprint('labor total:', con.execute('select count(*) from laborwerte').fetchone()[0])\\nprint('labor validiert:', con.execute(\\\"select count(*) from laborwerte where validierungsstatus='validiert'\\\").fetchone()[0])\\nprint('labor dates:', con.execute('select count(distinct abnahme_datum) from laborwerte where abnahme_datum is not null').fetchone()[0])\\nprint('reports:', [os.path.basename(p) for p in glob.glob(base+'/reports/*') if os.path.basename(p) in ['aktuelle_blutwerte.xlsx','health_dashboard.html','health_intelligence_workflow.md']])\\nprint('corrections:', [os.path.basename(p) for p in sorted(glob.glob(base+'/corrections/*.xlsx'))[-3:]])\\nPY\\npython3 - <<'PY'\\nimport openpyxl, os\\np=os.path.expanduser('~/.hermes/assets/Gesundheit/reports/aktuelle_blutwerte.xlsx')\\nwb=openpyxl.load_workbook(p, read_only=True, data_only=True); ws=wb.active\\nprint('lab_report_dims:', ws.max_row, ws.max_column)\\nprint('lab_report_dates:', [ws.cell(1,c).value for c in range(3, ws.max_column+1)])\\nPY\\nhermes cron list | grep -E 'Gesundheitsdaten Daily Sync|Gesundheitsdaten Wochenbericht|Gesundheitsdaten Inbox Check|paused|2bf4d0a8bedb|e9b6fe32c177' || true\\n'''\\nres=terminal(cmd, timeout=180)\\nprint(res['output'])\"}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"tables added: ['document_insights', 'health_daily_summary', 'health_insights', 'health_processing_runs', 'laborwerte_staging', 'report_runs']\\nlabor total: 474\\nlabor validiert: 233\\nlabor dates: 13\\nreports: ['health_intelligence_workflow.md', 'health_dashboard.html', 'aktuelle_blutwerte.xlsx']\\ncorrections: ['KORREKTUR_Laborwerte_reference_20260512_155253.xlsx', 'KORREKTUR_Laborwerte_reference_20260512_155504.xlsx']\\nlab_report_dims: 113 15\\nlab_report_dates: ['2021-06-11', '2021-06-15', '2025-05-13', '2025-06-18', '2025-08-27', '2025-09-14', '2025-09-20', '2025-12-17', '2025-12-29', '2026-01-28', '2026-03-06', '2026-04-02', '2026-05-07']\\n  2bf4d0a8bedb [active]\\n    Name:      Gesundheitsdaten Daily Sync\\n  e9b6fe32c177 [active]\\n    Name:      Gesundheitsdaten Wochenbericht\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 1.02}", "tool_call_id": "call_YHYo4KfYWsko6BHBvauKNtUV", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqAzOjK7Bg0vP-2JIRakALeOMHYfmuc_YyYdxruPNWDnJSENQUOBz8Cg-2CciR_nhzS9pHcdJmaO7k8Hm4bL1zejjO8mr0sgfoAJimjl99v3Z7VcTCV5TNdwxz9WpaeUAyHqKtLAHUsF9C4iQqnqJcclsY69TKOFR-9QcxrsIEqg19PfdMg-ltuFDiz3MOJa4PjPdf3P7oRYmNrBTYbMcTUr_Eq6AiByn2Gaa-EM-DRU3Q_Zl-VZ9YhnE0DITtVEUfbnd4AY-lPIBERnscDkb6WjLUz6ayoWtbDm-2DMwTH_3s_97c07_opeyVQtPMWaqbDCWb8iR6_Mg7jMDHvDL_oKIDFTil-nNaYqTMrRfStuRY0x1_RaUkl3oKH0APd5g0jkvcVtX9slDqMDIhplEouKF4u-xGAaF788LI1UMXbSPp9OiF9rcYh2up9vthbe7dzi9LVH_Um_aMIimribYDp6xAOn__-hThiJkOfOZTaQ1dj44mg7HRYP_xqcdAr-NG4KJ0CTeCf7zRS9C8mFY37gZ3_SsDqVeX9sulMR7EGxGXUlzBW7eIbfxtunF068uprZvW_bBS-xRwtuV5AqnQBE-q6cCOPdX_HJna0Id__jL6KoPytsOkVXLA-cbHnq8wUg-1QxJzzK7KRqerVFjpz5v0X1e_wdBuqQQnnWWTFD_YFN1PBkXTx8PDodHUkJ1MoA4tmA_ZJZdwfbQ0OGAUm860Kc-Gkbc_vomQv6RKGY1RJ9NCajrW0HbGglbp-xwEv2Z-Ear-qvtEk7-FjHfPbr4ligNJC0J1FpJlpnzWr2nCDm0x45jyQz4OLfgl1WFgmEZ1Auxyw7iLShMLq_8nXHqVEJDLaFFleH5-OANu7uNbmV-cKLvZc3Z_Nc7wOrtNk-J5ikrGJ_ncRhQ5zzoGL4brsJiawYgrpsCchBl9lNFe2jXlMZulT3nzvwnJC7_kJLfTOtkQgnaYU8CPobx7u5wbMlvkN9P3UmmzEj5djPj7sVysO7GfjBbEh7nWHCeVuXvm06LdKsFwWW2J6ydQBuqOeZo5tGf1YUH8UrSSeRW9eFwtEun_1ImHbZhs9flS1cPMz2ff2YLttv_-YX5OO5kLqW8y_UFqCUhA0X6ymt7EcIG3vXLKpv2D8uyVpfKxl-ugwFrqMNI2URZC0Ld9Im3nQO6l8jrt70b6VOewlO1e1WSaQLub1-D5NdsnTUWg61gTjO6LPp8R-kgv1NEaFC1vEkUjfHROGzniPiLLWMMYEBDw9Qv9HJs_qXkxlK6WCPUuEZTD83Y5NLil7B3S3GLTMbK4SFeMgAIeI0HovZSq-YJak6C6HjP7AzbfMrljtIRaBaJdtc6IVxbE8ctMEwJ9qf874OzFEFnMMpgRbDcz-vMztCfaqhmjzt08jXcNpfJNMJQs9SqpTHU_RMdxazQlociO9OIflE47Q8vEqdFUfFNW3ciVGbnWH30am0MCC8ASoo_fSxjJZGDykpYw6pevFl_8x0Mt5a3gvDe05nAazCrhBhvx_ZabbqFLDnKKNqzXMKeXSktDJR4NMkpsXbYwBIK2KI0c4tGFr-Ajt7nQReQDHWxPLJjbqeJNJ0gCFzC5", "id": "rs_05922c1d9416fe4a016a03339f425081918f4fb44a95422468", "summary": []}], "tool_calls": [{"id": "call_VcjDFq2M5dtoQy9BSZoYFptX", "call_id": "call_VcjDFq2M5dtoQy9BSZoYFptX", "response_item_id": "fc_05922c1d9416fe4a016a0333a38d288191910b48bd537569f1", "type": "function", "function": {"name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Health-Pipeline-Skript für Intake, Labor-Korrektur-XLSX, Dashboard und Berichte erstellen\",\"id\":\"t3\",\"status\":\"completed\"},{\"content\":\"Laborreport-Skript reparieren/ersetzen und Output verifizieren\",\"id\":\"t4\",\"status\":\"completed\"},{\"content\":\"Google-Drive-Korrekturordner und Upload-Workflow vorbereiten\",\"id\":\"t5\",\"status\":\"completed\"},{\"content\":\"Cron-Jobs für Intake-Sync und Berichte anlegen/testen\",\"id\":\"t6\",\"status\":\"completed\"},{\"content\":\"Dokumentation/Skill aktualisieren und Abschlussbericht liefern\",\"id\":\"t7\",\"status\":\"in_progress\"}]}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"t1\", \"content\": \"Ist-Zustand, Tabellen und existierende Automationen prüfen\", \"status\": \"completed\"}, {\"id\": \"t2\", \"content\": \"DB-Migration für Staging/Review/Insights/Reports entwerfen und anwenden\", \"status\": \"completed\"}, {\"id\": \"t3\", \"content\": \"Health-Pipeline-Skript für Intake, Labor-Korrektur-XLSX, Dashboard und Berichte erstellen\", \"status\": \"completed\"}, {\"id\": \"t4\", \"content\": \"Laborreport-Skript reparieren/ersetzen und Output verifizieren\", \"status\": \"completed\"}, {\"id\": \"t5\", \"content\": \"Google-Drive-Korrekturordner und Upload-Workflow vorbereiten\", \"status\": \"completed\"}, {\"id\": \"t6\", \"content\": \"Cron-Jobs für Intake-Sync und Berichte anlegen/testen\", \"status\": \"completed\"}, {\"id\": \"t7\", \"content\": \"Dokumentation/Skill aktualisieren und Abschlussbericht liefern\", \"status\": \"in_progress\"}], \"summary\": {\"total\": 7, \"pending\": 0, \"in_progress\": 1, \"completed\": 6, \"cancelled\": 0}}", "tool_call_id": "call_VcjDFq2M5dtoQy9BSZoYFptX", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_JxqKowG56OYkXbAwmYy0NRpd", "call_id": "call_JxqKowG56OYkXbAwmYy0NRpd", "response_item_id": "fc_046a8f65ad5e6698016a0333aad2d48191a70bc88cc771dd96", "type": "function", "function": {"name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Dokumentation/Skill aktualisieren und Abschlussbericht liefern\",\"id\":\"t7\",\"status\":\"completed\"}]}"}}], "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"t1\", \"content\": \"Ist-Zustand, Tabellen und existierende Automationen prüfen\", \"status\": \"completed\"}, {\"id\": \"t2\", \"content\": \"DB-Migration für Staging/Review/Insights/Reports entwerfen und anwenden\", \"status\": \"completed\"}, {\"id\": \"t3\", \"content\": \"Health-Pipeline-Skript für Intake, Labor-Korrektur-XLSX, Dashboard und Berichte erstellen\", \"status\": \"completed\"}, {\"id\": \"t4\", \"content\": \"Laborreport-Skript reparieren/ersetzen und Output verifizieren\", \"status\": \"completed\"}, {\"id\": \"t5\", \"content\": \"Google-Drive-Korrekturordner und Upload-Workflow vorbereiten\", \"status\": \"completed\"}, {\"id\": \"t6\", \"content\": \"Cron-Jobs für Intake-Sync und Berichte anlegen/testen\", \"status\": \"completed\"}, {\"id\": \"t7\", \"content\": \"Dokumentation/Skill aktualisieren und Abschlussbericht liefern\", \"status\": \"completed\"}], \"summary\": {\"total\": 7, \"pending\": 0, \"in_progress\": 0, \"completed\": 7, \"cancelled\": 0}}", "tool_call_id": "call_JxqKowG56OYkXbAwmYy0NRpd", "timestamp": "2026-05-12T16:06:50.915531"}
{"role": "assistant", "content": "Erledigt, Sir. Ich habe die **Grundarchitektur für dein Health Intelligence System umgesetzt**: Datenbank erweitert, Review-Workflow angelegt, Laborreport repariert, Dashboard erzeugt, Daily-/Weekly-Automationen eingerichtet und den Google-Drive-Korrekturordner erstellt.\n\nWichtig vorweg: Die **historische Docling-Nachbearbeitung aller alten 50 Dokumente ohne Volltext** ist damit noch nicht vollständig abgeschlossen. Was jetzt steht, ist die belastbare Pipeline, mit der neue und korrigierte Daten sauber verarbeitet werden — der staubige Altbestand bleibt der nächste Brocken. Charmant, aber störrisch.\n\n## Umgesetzt\n\n### 1. Datenbank erweitert\n\nIch habe vor der Migration ein Backup angelegt und die DB erweitert.\n\nBackup:\n\n`/home/agent/.hermes/assets/Gesundheit/backups/health_data_before_review_workflow_20260512_154748.db`\n\nNeue Tabellen:\n\n- `health_processing_runs`\n- `laborwerte_staging`\n- `document_insights`\n- `health_daily_summary`\n- `health_insights`\n- `report_runs`\n\nErweiterte Tabellen:\n\n- `laborwerte`\n  - `abnahme_datum`\n  - `befund_datum`\n  - `wert_original`\n  - `quelle`\n  - `validierungsstatus`\n  - `review_batch_id`\n\n- `dokumente`\n  - `quelle`\n  - `review_status`\n  - `processing_quality`\n\nDamit ist jetzt technisch sauber getrennt zwischen:\n\n- extrahiert\n- zur Prüfung\n- korrigiert\n- validiert\n\n## 2. Laborwerte-Workflow mit 4-Augen-Prinzip\n\nAngelegt wurde der neue Workflow:\n\n1. Laborbericht kommt per E-Mail, Telegram oder Drive Inbox.\n2. Werte werden extrahiert.\n3. Werte landen zuerst in `laborwerte_staging`.\n4. Eine Korrektur-XLSX wird erzeugt.\n5. Du prüfst/korrigierst diese Datei.\n6. Nach deiner Freigabe übernehme ich die Werte in die Master-Tabelle `laborwerte`.\n7. Danach werden Dashboard und Reports aktualisiert.\n\nDie initiale Korrekturdatei wurde erzeugt und nach Google Drive hochgeladen.\n\nLokale Datei:\n\n`/home/agent/.hermes/assets/Gesundheit/corrections/KORREKTUR_Laborwerte_reference_20260512_155504.xlsx`\n\nGoogle Drive Datei:\n\n[ KORREKTUR_Laborwerte_reference_20260512_155504.xlsx ](https://docs.google.com/spreadsheets/d/1hNta5la-F4X2qutweFcwm3B5eaIxci0e/edit?usp=drivesdk&ouid=107742912849201648496&rtpof=true&sd=true)\n\n## 3. Google Drive Korrektur-Ordner erstellt\n\nNeuer Ordner:\n\n**Gesundheitsdaten Korrektur**\n\nOrdner-ID:\n\n`18wPP6yHjdp8XShhue7OZcamcqc09ec9g`\n\nLink:\n\n[Gesundheitsdaten Korrektur](https://drive.google.com/drive/folders/18wPP6yHjdp8XShhue7OZcamcqc09ec9g)\n\nDort sollen künftig alle Korrekturdateien für das 4-Augen-Prinzip landen.\n\n## 4. Laborbericht „aktuelle Blutwerte“ repariert\n\nDas alte Skript hatte Bugs und nutzte falsche Datumslogik. Ich habe es ersetzt durch einen Wrapper auf die neue zentrale Pipeline.\n\nSkript:\n\n`/home/agent/.hermes/assets/Gesundheit/scripts/generate_labor_report.py`\n\nNeue zentrale Pipeline:\n\n`/home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py`\n\nAktueller Bericht:\n\n`/home/agent/.hermes/assets/Gesundheit/reports/aktuelle_blutwerte.xlsx`\n\nVerifiziert:\n\n- **113 Zeilen**\n- **15 Spalten**\n- Datums-Spalten:\n  - `2021-06-11`\n  - `2021-06-15`\n  - `2025-05-13`\n  - `2025-06-18`\n  - `2025-08-27`\n  - `2025-09-14`\n  - `2025-09-20`\n  - `2025-12-17`\n  - `2025-12-29`\n  - `2026-01-28`\n  - `2026-03-06`\n  - `2026-04-02`\n  - `2026-05-07`\n\nDas entspricht deinem gewünschten Format:\n\n- eine Spalte pro Laboruntersuchung/Datum\n- eine Zeile pro Blut-/Urinwert\n- Kategorien und Referenzbereiche aus der User-XLSX\n\n## 5. Referenz-Laborwerte in DB validiert übernommen\n\nIch habe die Werte aus deiner aktuellsten Laborwerte-XLSX als validierte Referenz übernommen.\n\nAktueller Stand:\n\n- `laborwerte` total: **474**\n- davon validiert: **233**\n- mit echtem `abnahme_datum`: **233**\n- verschiedene Abnahmedaten: **13**\n\nWichtig: Die alten 241 Laborwerte mit reinem `ermittlung_datum` sind noch vorhanden. Die neuen validierten Werte haben jetzt das korrekte `abnahme_datum`. Für Trendanalysen soll künftig **`abnahme_datum`** verwendet werden, nicht `ermittlung_datum`.\n\n## 6. Dashboard erzeugt\n\nDashboard:\n\n`/home/agent/.hermes/assets/Gesundheit/reports/health_dashboard.html`\n\nEs enthält aktuell:\n\n- Systemstatus\n- Dokumentenzahlen\n- Laborwerte-Status\n- offene Reviews\n- Labortrends für wichtige Parameter\n- letzte Dokumente\n- Workflow-Hinweise\n\nDas ist Dashboard v1 — bewusst robust und lokal als HTML. Kein unnötiger Server-Zirkus, der dann nachts um 03:00 heldenhaft stirbt.\n\n## 7. Tages- und Wochenberichte erzeugt\n\nTagesbericht:\n\n`/home/agent/.hermes/assets/Gesundheit/reports/daily_health_report_2026-05-12.md`\n\nWochenbericht:\n\n`/home/agent/.hermes/assets/Gesundheit/reports/weekly_health_report_2026-05-06_2026-05-12.md`\n\n## 8. Automatischer Daily Sync eingerichtet\n\nNeues Cron-Script:\n\n`/home/agent/.hermes/scripts/health_daily_sync.py`\n\nEs macht täglich:\n\n- lokale Inbox-Dateien registrieren\n- Gesundheitsdaten-E-Mails importieren\n- YAZIO-Daten importieren\n- Dashboard aktualisieren\n- Tagesbericht aktualisieren\n- aktuellen Blutwerte-Bericht aktualisieren\n- nur melden, wenn relevante neue Daten vorhanden sind\n\nCron Job:\n\n`2bf4d0a8bedb`\n\nZeitplan:\n\n`täglich 23:10`\n\nStatus:\n\n**aktiv**\n\nBeim Testlauf wurden bereits verarbeitet:\n\n- neue Gesundheitsdaten-E-Mails: **1**\n- YAZIO-Items: **11**\n- Dashboard und Berichte aktualisiert\n\n## 9. Wochenbericht automatisiert\n\nNeues Cron-Script:\n\n`/home/agent/.hermes/scripts/health_weekly_report.py`\n\nCron Job:\n\n`e9b6fe32c177`\n\nZeitplan:\n\n`sonntags 18:00`\n\nStatus:\n\n**aktiv**\n\n## 10. Fehlerhaften alten Inbox-Cron pausiert\n\nAlter Job:\n\n`e2150e5d908d`\n\nName:\n\n`Gesundheitsdaten Inbox Check`\n\nStatus vorher:\n\nFehlerhaft, zuletzt `HTTP 503: Loading model`\n\nStatus jetzt:\n\n**pausiert**\n\nIch habe ihn nicht gelöscht, sondern sauber pausiert. Die Würde des gescheiterten Cron-Jobs bleibt gewahrt.\n\n## 11. Dokumentation erstellt\n\nWorkflow-Dokumentation:\n\n`/home/agent/.hermes/assets/Gesundheit/reports/health_intelligence_workflow.md`\n\nDarin dokumentiert:\n\n- Eingangskanäle\n- Datenbank-Erweiterungen\n- 4-Augen-Laborworkflow\n- Google Drive Ordner\n- Hauptskripte\n- Reports\n- Cron Jobs\n- wichtige Regeln\n\nAußerdem habe ich meine interne Health-Management-Skill-Dokumentation aktualisiert, damit ich diesen Workflow künftig nicht „vergesse“.\n\n---\n\n# Was jetzt praktisch für dich gilt\n\n## Wenn du künftig Laborberichte sendest\n\nDu kannst sie schicken per:\n\n- E-Mail an `friday.uplink@gmail.com`\n- Telegram\n- Google Drive Inbox\n\nIch werde sie künftig nach diesem Zielprozess behandeln:\n\n1. erkennen\n2. registrieren\n3. extrahieren\n4. Korrektur-XLSX erzeugen\n5. im Drive-Korrekturordner ablegen\n6. dir Bescheid geben\n7. nach deiner Freigabe in die Master-DB übernehmen\n8. Dashboard und Reports aktualisieren\n\n## Wenn du Korrekturen geprüft hast\n\nDann schreibst du einfach etwa:\n\n> Korrekturen übernehmen.\n\nDann lese ich die Korrektur-XLSX ein und übernehme die Werte.\n\n---\n\n# Noch offen / nächster sinnvoller Schritt\n\nDie Pipeline steht. Offen bleibt als nächster Block:\n\n## Historische Dokumente vollständig nachbearbeiten\n\nAktuell weiterhin relevant:\n\n- 59 Dokumente total\n- nur 9 mit Volltext\n- 50 ohne Volltext\n\nNächster Schritt wäre also:\n\n1. alle alten Dokumente mit Docling/Volltext nachverarbeiten\n2. Volltext in `extrahierte_inhalte` speichern\n3. Duplikate bereinigen\n4. relevante Befund-Erkenntnisse in `document_insights` übertragen\n5. Laborwerte aus alten PDFs ggf. gegen die validierte XLSX abgleichen\n\nKurz gesagt: Das Fundament ist jetzt gegossen. Als nächstes räumen wir den Altbau auf.", "reasoning": null, "finish_reason": "stop", "codex_message_items": [{"type": "message", "role": "assistant", "status": "completed", "content": [{"type": "output_text", "text": "Erledigt, Sir. Ich habe die **Grundarchitektur für dein Health Intelligence System umgesetzt**: Datenbank erweitert, Review-Workflow angelegt, Laborreport repariert, Dashboard erzeugt, Daily-/Weekly-Automationen eingerichtet und den Google-Drive-Korrekturordner erstellt.\n\nWichtig vorweg: Die **historische Docling-Nachbearbeitung aller alten 50 Dokumente ohne Volltext** ist damit noch nicht vollständig abgeschlossen. Was jetzt steht, ist die belastbare Pipeline, mit der neue und korrigierte Daten sauber verarbeitet werden — der staubige Altbestand bleibt der nächste Brocken. Charmant, aber störrisch.\n\n## Umgesetzt\n\n### 1. Datenbank erweitert\n\nIch habe vor der Migration ein Backup angelegt und die DB erweitert.\n\nBackup:\n\n`/home/agent/.hermes/assets/Gesundheit/backups/health_data_before_review_workflow_20260512_154748.db`\n\nNeue Tabellen:\n\n- `health_processing_runs`\n- `laborwerte_staging`\n- `document_insights`\n- `health_daily_summary`\n- `health_insights`\n- `report_runs`\n\nErweiterte Tabellen:\n\n- `laborwerte`\n  - `abnahme_datum`\n  - `befund_datum`\n  - `wert_original`\n  - `quelle`\n  - `validierungsstatus`\n  - `review_batch_id`\n\n- `dokumente`\n  - `quelle`\n  - `review_status`\n  - `processing_quality`\n\nDamit ist jetzt technisch sauber getrennt zwischen:\n\n- extrahiert\n- zur Prüfung\n- korrigiert\n- validiert\n\n## 2. Laborwerte-Workflow mit 4-Augen-Prinzip\n\nAngelegt wurde der neue Workflow:\n\n1. Laborbericht kommt per E-Mail, Telegram oder Drive Inbox.\n2. Werte werden extrahiert.\n3. Werte landen zuerst in `laborwerte_staging`.\n4. Eine Korrektur-XLSX wird erzeugt.\n5. Du prüfst/korrigierst diese Datei.\n6. Nach deiner Freigabe übernehme ich die Werte in die Master-Tabelle `laborwerte`.\n7. Danach werden Dashboard und Reports aktualisiert.\n\nDie initiale Korrekturdatei wurde erzeugt und nach Google Drive hochgeladen.\n\nLokale Datei:\n\n`/home/agent/.hermes/assets/Gesundheit/corrections/KORREKTUR_Laborwerte_reference_20260512_155504.xlsx`\n\nGoogle Drive Datei:\n\n[ KORREKTUR_Laborwerte_reference_20260512_155504.xlsx ](https://docs.google.com/spreadsheets/d/1hNta5la-F4X2qutweFcwm3B5eaIxci0e/edit?usp=drivesdk&ouid=107742912849201648496&rtpof=true&sd=true)\n\n## 3. Google Drive Korrektur-Ordner erstellt\n\nNeuer Ordner:\n\n**Gesundheitsdaten Korrektur**\n\nOrdner-ID:\n\n`18wPP6yHjdp8XShhue7OZcamcqc09ec9g`\n\nLink:\n\n[Gesundheitsdaten Korrektur](https://drive.google.com/drive/folders/18wPP6yHjdp8XShhue7OZcamcqc09ec9g)\n\nDort sollen künftig alle Korrekturdateien für das 4-Augen-Prinzip landen.\n\n## 4. Laborbericht „aktuelle Blutwerte“ repariert\n\nDas alte Skript hatte Bugs und nutzte falsche Datumslogik. Ich habe es ersetzt durch einen Wrapper auf die neue zentrale Pipeline.\n\nSkript:\n\n`/home/agent/.hermes/assets/Gesundheit/scripts/generate_labor_report.py`\n\nNeue zentrale Pipeline:\n\n`/home/agent/.hermes/assets/Gesundheit/scripts/health_pipeline.py`\n\nAktueller Bericht:\n\n`/home/agent/.hermes/assets/Gesundheit/reports/aktuelle_blutwerte.xlsx`\n\nVerifiziert:\n\n- **113 Zeilen**\n- **15 Spalten**\n- Datums-Spalten:\n  - `2021-06-11`\n  - `2021-06-15`\n  - `2025-05-13`\n  - `2025-06-18`\n  - `2025-08-27`\n  - `2025-09-14`\n  - `2025-09-20`\n  - `2025-12-17`\n  - `2025-12-29`\n  - `2026-01-28`\n  - `2026-03-06`\n  - `2026-04-02`\n  - `2026-05-07`\n\nDas entspricht deinem gewünschten Format:\n\n- eine Spalte pro Laboruntersuchung/Datum\n- eine Zeile pro Blut-/Urinwert\n- Kategorien und Referenzbereiche aus der User-XLSX\n\n## 5. Referenz-Laborwerte in DB validiert übernommen\n\nIch habe die Werte aus deiner aktuellsten Laborwerte-XLSX als validierte Referenz übernommen.\n\nAktueller Stand:\n\n- `laborwerte` total: **474**\n- davon validiert: **233**\n- mit echtem `abnahme_datum`: **233**\n- verschiedene Abnahmedaten: **13**\n\nWichtig: Die alten 241 Laborwerte mit reinem `ermittlung_datum` sind noch vorhanden. Die neuen validierten Werte haben jetzt das korrekte `abnahme_datum`. Für Trendanalysen soll künftig **`abnahme_datum`** verwendet werden, nicht `ermittlung_datum`.\n\n## 6. Dashboard erzeugt\n\nDashboard:\n\n`/home/agent/.hermes/assets/Gesundheit/reports/health_dashboard.html`\n\nEs enthält aktuell:\n\n- Systemstatus\n- Dokumentenzahlen\n- Laborwerte-Status\n- offene Reviews\n- Labortrends für wichtige Parameter\n- letzte Dokumente\n- Workflow-Hinweise\n\nDas ist Dashboard v1 — bewusst robust und lokal als HTML. Kein unnötiger Server-Zirkus, der dann nachts um 03:00 heldenhaft stirbt.\n\n## 7. Tages- und Wochenberichte erzeugt\n\nTagesbericht:\n\n`/home/agent/.hermes/assets/Gesundheit/reports/daily_health_report_2026-05-12.md`\n\nWochenbericht:\n\n`/home/agent/.hermes/assets/Gesundheit/reports/weekly_health_report_2026-05-06_2026-05-12.md`\n\n## 8. Automatischer Daily Sync eingerichtet\n\nNeues Cron-Script:\n\n`/home/agent/.hermes/scripts/health_daily_sync.py`\n\nEs macht täglich:\n\n- lokale Inbox-Dateien registrieren\n- Gesundheitsdaten-E-Mails importieren\n- YAZIO-Daten importieren\n- Dashboard aktualisieren\n- Tagesbericht aktualisieren\n- aktuellen Blutwerte-Bericht aktualisieren\n- nur melden, wenn relevante neue Daten vorhanden sind\n\nCron Job:\n\n`2bf4d0a8bedb`\n\nZeitplan:\n\n`täglich 23:10`\n\nStatus:\n\n**aktiv**\n\nBeim Testlauf wurden bereits verarbeitet:\n\n- neue Gesundheitsdaten-E-Mails: **1**\n- YAZIO-Items: **11**\n- Dashboard und Berichte aktualisiert\n\n## 9. Wochenbericht automatisiert\n\nNeues Cron-Script:\n\n`/home/agent/.hermes/scripts/health_weekly_report.py`\n\nCron Job:\n\n`e9b6fe32c177`\n\nZeitplan:\n\n`sonntags 18:00`\n\nStatus:\n\n**aktiv**\n\n## 10. Fehlerhaften alten Inbox-Cron pausiert\n\nAlter Job:\n\n`e2150e5d908d`\n\nName:\n\n`Gesundheitsdaten Inbox Check`\n\nStatus vorher:\n\nFehlerhaft, zuletzt `HTTP 503: Loading model`\n\nStatus jetzt:\n\n**pausiert**\n\nIch habe ihn nicht gelöscht, sondern sauber pausiert. Die Würde des gescheiterten Cron-Jobs bleibt gewahrt.\n\n## 11. Dokumentation erstellt\n\nWorkflow-Dokumentation:\n\n`/home/agent/.hermes/assets/Gesundheit/reports/health_intelligence_workflow.md`\n\nDarin dokumentiert:\n\n- Eingangskanäle\n- Datenbank-Erweiterungen\n- 4-Augen-Laborworkflow\n- Google Drive Ordner\n- Hauptskripte\n- Reports\n- Cron Jobs\n- wichtige Regeln\n\nAußerdem habe ich meine interne Health-Management-Skill-Dokumentation aktualisiert, damit ich diesen Workflow künftig nicht „vergesse“.\n\n---\n\n# Was jetzt praktisch für dich gilt\n\n## Wenn du künftig Laborberichte sendest\n\nDu kannst sie schicken per:\n\n- E-Mail an `friday.uplink@gmail.com`\n- Telegram\n- Google Drive Inbox\n\nIch werde sie künftig nach diesem Zielprozess behandeln:\n\n1. erkennen\n2. registrieren\n3. extrahieren\n4. Korrektur-XLSX erzeugen\n5. im Drive-Korrekturordner ablegen\n6. dir Bescheid geben\n7. nach deiner Freigabe in die Master-DB übernehmen\n8. Dashboard und Reports aktualisieren\n\n## Wenn du Korrekturen geprüft hast\n\nDann schreibst du einfach etwa:\n\n> Korrekturen übernehmen.\n\nDann lese ich die Korrektur-XLSX ein und übernehme die Werte.\n\n---\n\n# Noch offen / nächster sinnvoller Schritt\n\nDie Pipeline steht. Offen bleibt als nächster Block:\n\n## Historische Dokumente vollständig nachbearbeiten\n\nAktuell weiterhin relevant:\n\n- 59 Dokumente total\n- nur 9 mit Volltext\n- 50 ohne Volltext\n\nNächster Schritt wäre also:\n\n1. alle alten Dokumente mit Docling/Volltext nachverarbeiten\n2. Volltext in `extrahierte_inhalte` speichern\n3. Duplikate bereinigen\n4. relevante Befund-Erkenntnisse in `document_insights` übertragen\n5. Laborwerte aus alten PDFs ggf. gegen die validierte XLSX abgleichen\n\nKurz gesagt: Das Fundament ist jetzt gegossen. Als nächstes räumen wir den Altbau auf."}], "id": "msg_0841ee3f7fe36891016a0333ae4ee48191bea5410ba6311cc4", "phase": "final_answer"}], "timestamp": "2026-05-12T16:06:50.915531"}