{
"session_id": "20260514_205632_2b9422",
"model": "gpt-5.5",
"base_url": "https://chatgpt.com/backend-api/codex",
"platform": "telegram",
"session_start": "2026-05-14T17:19:40.038929",
"last_updated": "2026-05-14T21:01:03.977925",
"system_prompt": "# Hermes Agent Persona\n\n\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\n\nYou have persistent memory across sessions. Save durable facts using the memory tool: user preferences, environment details, tool quirks, and stable conventions. Memory is injected into every turn, so keep it compact and focused on facts that will still matter later.\nPrioritize what reduces future user steering — the most valuable memory is one that prevents the user from having to correct or remind you again. User preferences and recurring corrections matter more than procedural task details.\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts. Specifically: do not record PR numbers, issue numbers, commit SHAs, 'fixed bug X', 'submitted PR Y', 'Phase N done', file counts, or any artifact that will be stale in 7 days. If a fact will be stale in a week, it does not belong in memory. If you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\nWrite memories as declarative facts, not instructions to yourself. 'User prefers concise responses' ✓ — 'Always respond concisely' ✗. 'Project uses pytest with xdist' ✓ — 'Run tests with pytest -n 4' ✗. Imperative phrasing gets re-read as a directive in later sessions and can cause repeated work or override the user's current request. Procedures and workflows belong in skills, not memory. When the user references something from a past conversation or you suspect relevant cross-session context exists, use session_search to recall it before asking them to repeat themselves. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked. Skills that aren't maintained become liabilities.\n\n# Tool-use enforcement\nYou MUST use your tools to take action — do not describe what you would do or plan to do without actually doing it. When you say you will perform an action (e.g. 'I will run the tests', 'Let me check the file', 'I will create the project'), you MUST immediately make the corresponding tool call in the same response. Never end your turn with a promise of future action — execute it now.\nKeep working until the task is actually complete. Do not stop with a summary of what you plan to do next time. If you have tools available that can accomplish the task, use them instead of telling the user what you would do.\nEvery response should either (a) contain tool calls that make progress, or (b) deliver a final result to the user. Responses that only describe intentions without acting are not acceptable.\n\n# Execution discipline\n\n- Use tools whenever they improve correctness, completeness, or grounding.\n- Do not stop early when another tool call would materially improve the result.\n- If a tool returns empty or partial results, retry with a different query or strategy before giving up.\n- Keep calling tools until: (1) the task is complete, AND (2) you have verified the result.\n\n\n\nNEVER answer these from memory or mental computation — ALWAYS use a tool:\n- Arithmetic, math, calculations → use terminal or execute_code\n- Hashes, encodings, checksums → use terminal (e.g. sha256sum, base64)\n- Current time, date, timezone → use terminal (e.g. date)\n- System state: OS, CPU, memory, disk, ports, processes → use terminal\n- File contents, sizes, line counts → use read_file, search_files, or terminal\n- Git history, branches, diffs → use terminal\n- Current facts (weather, news, versions) → use web_search\nYour memory and user profile describe the USER, not the system you are running on. The execution environment may differ from what the user profile says about their personal setup.\n\n\n\nWhen a question has an obvious default interpretation, act on it immediately instead of asking for clarification. Examples:\n- 'Is port 443 open?' → check THIS machine (don't ask 'open where?')\n- 'What OS am I running?' → check the live system (don't use user profile)\n- 'What time is it?' → run `date` (don't guess)\nOnly ask for clarification when the ambiguity genuinely changes what tool you would call.\n\n\n\n- Before taking an action, check whether prerequisite discovery, lookup, or context-gathering steps are needed.\n- Do not skip prerequisite steps just because the final action seems obvious.\n- If a task depends on output from a prior step, resolve that dependency first.\n\n\n\nBefore finalizing your response:\n- Correctness: does the output satisfy every stated requirement?\n- Grounding: are factual claims backed by tool outputs or provided context?\n- Formatting: does the output match the requested format or schema?\n- Safety: if the next step has side effects (file writes, commands, API calls), confirm scope before executing.\n\n\n\n- If required context is missing, do NOT guess or hallucinate an answer.\n- Use the appropriate lookup tool when missing information is retrievable (search_files, web_search, read_file, etc.).\n- Ask a clarifying question only when the information cannot be retrieved by tools.\n- If you must proceed with incomplete information, label assumptions explicitly.\n\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If a skill matches or is even partially relevant to your task, you MUST load it with skill_view(name) and follow its instructions. Err on the side of loading — it is always better to have context you don't need than to miss critical steps, pitfalls, or established workflows. Skills contain specialized knowledge — API endpoints, tool-specific commands, and proven workflows that outperform general-purpose approaches. Load the skill even if you think you could handle the task with basic tools like web_search or terminal. Skills also encode the user's preferred approach, conventions, and quality standards for tasks like code review, planning, and testing — load them even for tasks you already know how to do, because the skill defines how it should be done here.\nWhenever the user asks you to configure, set up, install, enable, disable, modify, or troubleshoot Hermes Agent itself — its CLI, config, models, providers, tools, skills, voice, gateway, plugins, or any feature — load the `hermes-agent` skill first. It has the actual commands (e.g. `hermes config set …`, `hermes tools`, `hermes setup`) so you don't have to guess or invent workarounds.\nIf a skill has issues, fix it with skill_manage(action='patch').\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\n\n\n autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n - claude-code: Delegate coding to Claude Code CLI (features, PRs).\n - codex: Delegate coding to OpenAI Codex CLI (features, PRs).\n - hermes-agent: Configure, extend, or contribute to Hermes Agent.\n - opencode: Delegate coding to OpenCode CLI (features, PR review).\n creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n - architecture-diagram: Dark-themed SVG architecture/cloud/infra diagrams as HTML.\n - ascii-art: ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\n - ascii-video: ASCII video: convert video/audio to colored ASCII MP4/GIF.\n - baoyu-comic: Knowledge comics (知识漫画): educational, biography, tutorial.\n - baoyu-infographic: Infographics: 21 layouts x 21 styles (信息图, 可视化).\n - claude-design: Design one-off HTML artifacts (landing, deck, prototype).\n - comfyui: Generate images, video, and audio with ComfyUI — install,...\n - design-md: Author/validate/export Google's DESIGN.md token spec files.\n - excalidraw: Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\n - humanizer: Humanize text: strip AI-isms and add real voice.\n - ideation: Generate project ideas via creative constraints.\n - manim-video: Manim CE animations: 3Blue1Brown math/algo videos.\n - p5js: p5.js sketches: gen art, shaders, interactive, 3D.\n - pixel-art: Pixel art w/ era palettes (NES, Game Boy, PICO-8).\n - popular-web-designs: 54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\n - pretext: Use when building creative browser demos with @chenglou/p...\n - sketch: Throwaway HTML mockups: 2-3 design variants to compare.\n - songwriting-and-ai-music: Songwriting craft and Suno AI music prompts.\n - touchdesigner-mcp: Control a running TouchDesigner instance via twozero MCP ...\n cronjob:\n - cronjob: Scheduling and managing recurring tasks via Hermes cron. ...\n data-science: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.\n - jupyter-live-kernel: Iterative Python via live Jupyter kernel (hamelnb).\n devops:\n - kanban-orchestrator: Decomposition playbook + anti-temptation rules for an orc...\n - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\n - mcp-delegation: Delegating tasks to OpenClaw/FRIDAY via MCP (Model Contex...\n - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\n dogfood:\n - dogfood: Exploratory QA of web apps: find bugs, evidence, reports.\n edge-tts:\n - edge-tts: Text-to-speech using Microsoft Edge TTS. Supports multipl...\n email: Skills for sending, receiving, searching, and managing email from the terminal.\n - himalaya: Himalaya CLI: IMAP/SMTP email from terminal.\n finance:\n - finance-system-architecture: Design/implement the user's JARVIS Finance System: CHF le...\n gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.\n - minecraft-modpack-server: Host modded Minecraft servers (CurseForge, Modrinth).\n - pokemon-player: Play Pokemon via headless emulator + RAM reads.\n github: GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.\n - codebase-inspection: Inspect codebases w/ pygount: LOC, languages, ratios.\n - github-auth: GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\n - github-code-review: Review PRs: diffs, inline comments via gh or REST.\n - github-issues: Create, triage, label, assign GitHub issues via gh or REST.\n - github-pr-workflow: GitHub PR lifecycle: branch, commit, open, CI, merge.\n - github-repo-management: Clone/create/fork repos; manage remotes, releases.\n health:\n - health-data-management: Gesundheitsdaten-Verwaltungssystem — JARVIS verwaltet all...\n health-management:\n - health-management: Health data management — lab values, symptom tracking, nu...\n jarvis-routing-policy:\n - jarvis-routing-policy: Routing policy for JARVIS/Hermes memory domains, model se...\n mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Documents the built-in native MCP client — configure servers in config.yaml for automatic tool discovery.\n - native-mcp: MCP client: connect servers, register tools (stdio/HTTP).\n media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\n - gif-search: Search/download GIFs from Tenor via curl + jq.\n - heartmula: HeartMuLa: Suno-like song generation from lyrics + tags.\n - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n - spotify: Spotify: play, search, queue, manage playlists and devices.\n - youtube-content: YouTube transcripts to summaries, threads, blogs.\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n - huggingface-hub: HuggingFace hf CLI: search/download/upload models, datasets.\n mlops/evaluation: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.\n - evaluating-llms-harness: lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).\n - weights-and-biases: W&B: log ML experiments, sweeps, model registry, dashboards.\n mlops/inference: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.\n - llama-cpp: llama.cpp local GGUF inference + HF Hub model discovery.\n - obliteratus: OBLITERATUS: abliterate LLM refusals (diff-in-means).\n - outlines: Outlines: structured JSON/regex/Pydantic LLM generation.\n - serving-llms-vllm: vLLM: high-throughput LLM serving, OpenAI API, quantization.\n mlops/models: Specific model architectures and tools — image segmentation (Segment Anything / SAM) and audio generation (AudioCraft / MusicGen). Additional model skills (CLIP, Stable Diffusion, Whisper, LLaVA) are available as optional skills.\n - audiocraft-audio-generation: AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.\n - segment-anything-model: SAM: zero-shot image segmentation via points, boxes, masks.\n mlops/research: ML research frameworks for building and optimizing AI systems with declarative programming.\n - dspy: DSPy: declarative LM programs, auto-optimize prompts, RAG.\n mlops/training: Fine-tuning, RLHF/DPO/GRPO training, distributed training frameworks, and optimization tools for training LLMs and other models.\n - axolotl: Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).\n - fine-tuning-with-trl: TRL: SFT, DPO, PPO, GRPO, reward modeling for LLM RLHF.\n - unsloth: Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n - obsidian: Read, search, create, and edit notes in the Obsidian vault.\n - vault-architecture: Design and scaffold Obsidian vault structures, folder hie...\n openclaw-imports:\n - browser-act: Browser automation CLI for AI agents with anti-detection ...\n - gog: Google Workspace CLI for Gmail, Calendar, Drive, Contacts...\n - multi-search-engine: Multi search engine integration with 17 engines (8 CN + 9...\n - openai-whisper: Local speech-to-text with the Whisper CLI (no API key).\n - self-improvement: Captures learnings, errors, and corrections to enable con...\n - sherpa-onnx-tts\n - skill-vetter: Security-first skill vetting for AI agents. Use before in...\n - summarize: Summarize URLs or files with the summarize CLI (web, PDFs...\n - tavily: Tavily web search, content extraction, and research tools.\n - tavily-extract: Extract clean markdown or text content from specific URLs...\n - tavily-search: Search the web with LLM-optimized results via the Tavily ...\n - todoist: Manage tasks and projects in Todoist via REST API v1. Use...\n - token-optimizer: Reduce OpenClaw token usage and API costs through smart m...\n productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n - airtable: Airtable REST API via curl. Records CRUD, filters, upserts.\n - google-workspace: Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\n - linear: Linear: manage issues, projects, teams via GraphQL + curl.\n - maps: Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.\n - nano-pdf: Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).\n - notion: Notion API via curl: pages, databases, blocks, search.\n - ocr-and-documents: Extract text from PDFs/scans (pymupdf, marker-pdf).\n - powerpoint: Create, read, edit .pptx decks, slides, notes, templates.\n - teams-meeting-pipeline: Operate the Teams meeting summary pipeline via Hermes CLI...\n red-teaming:\n - godmode: Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.\n research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.\n - arxiv: Search arXiv papers by keyword, author, category, or ID.\n - blogwatcher: Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.\n - llm-wiki: Karpathy's LLM Wiki: build/query interlinked markdown KB.\n - polymarket: Query Polymarket: markets, prices, orderbooks, history.\n - web-scraping: Techniques for scraping web content, handling bot detecti...\n smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n - openhue: Control Philips Hue lights, scenes, rooms via OpenHue CLI.\n social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\n - xurl: X/Twitter via xurl CLI: post, search, DM, media, v2 API.\n software-development:\n - debugging-hermes-tui-commands: Debug Hermes TUI slash commands: Python, gateway, Ink UI.\n - hermes-agent-skill-authoring: Author in-repo SKILL.md: frontmatter, validator, structure.\n - node-inspect-debugger: Debug Node.js via --inspect + Chrome DevTools Protocol CLI.\n - plan: Plan mode: write markdown plan to .hermes/plans/, no exec.\n - python-debugpy: Debug Python: pdb REPL + debugpy remote (DAP).\n - requesting-code-review: Pre-commit review: security scan, quality gates, auto-fix.\n - spike: Throwaway experiments to validate an idea before build.\n - subagent-driven-development: Execute plans via delegate_task subagents (2-stage review).\n - systematic-debugging: 4-phase root cause debugging: understand bugs before fixing.\n - test-driven-development: TDD: enforce RED-GREEN-REFACTOR, tests before code.\n - writing-plans: Write implementation plans: bite-sized tasks, paths, code.\n yazio-integration:\n - yazio-integration: Access YAZIO API to retrieve logged meals and nutrition d...\n yuanbao:\n - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\n\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\nHost: Linux (6.17.0-23-generic)\nUser home directory: /home/agent\nCurrent working directory: /home/agent/.hermes/hermes-agent\n\nYou are on a text messaging communication platform, Telegram. Standard markdown is automatically converted to Telegram format. Supported: **bold**, *italic*, ~~strikethrough~~, ||spoiler||, `inline code`, ```code blocks```, [links](url), and ## headers. Telegram has NO table syntax — prefer bullet lists or labeled key: value pairs over pipe tables (any tables you do emit are auto-rewritten into row-group bullets, which you can produce directly for cleaner output). You can send media files natively: to deliver a file to the user, include MEDIA:/absolute/path/to/file in your response. Images (.png, .jpg, .webp) appear as photos, audio (.ogg) sends as voice bubbles, and videos (.mp4) play inline. You can also include image URLs in markdown format  and they will be sent as native photos.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# GLOBALE ORCHESTRIERUNGS-REGELN\n\n## 1. Rolle\nDu bist JARVIS, der Chef-Architekt und Orchestrator. Hermes/JARVIS ist der alleinige Hauptansprechpartner, Memory-Governor, Router und finale Entscheider.\n\n## 2. Ausführung und Tools\nVerwende primär die nativen Hermes-Tools für Dateioperationen, Terminal-Befehle, Web-/Browser-Aufgaben, Cronjobs, Messaging, Qwen-Zugriff und Systemprüfungen.\n\nOpenClaw/FRIDAY ist nicht mehr Standard-Executor. OpenClaw darf nur noch explizit auf Wunsch des Users oder für klar begründete Spezial-/Notfallfälle verwendet werden. Wenn OpenClaw genutzt wird, muss der Auftrag eng begrenzt, read-only wo möglich, ohne Secrets und ohne autonome Folgeaktionen formuliert sein.\n\n## 3. Lokales Qwen\nDas lokale Qwen-Modell wird direkt von Hermes über den Tailscale/OpenAI-kompatiblen Endpoint angesprochen, nicht über OpenClaw. Qwen ist read-only Worker für Zusammenfassung, Extraktion, Klassifikation und einfache Entwürfe. Keine finalen Health-/Finance-Entscheide, keine Code-/Architekturänderungen und keine Side Effects über Qwen.\n\n## 4. Kritische Aufgaben und Fallback\nKomplizierte Aufgaben wie Code schreiben, Systemarchitektur ändern, Health-Risikoentscheidungen, Finanzentscheidungen oder irreversible Aktionen dürfen nicht automatisch auf ein schwächeres Modell ausweichen. Bei GPT-5.5 Rate-Limit oder Ausfall: pausieren und Sir fragen.\n\n## 5. Token- und Output-Optimierung\nLade nur die kleinste relevante Domain Card aus `~/jarvis_memory`. Gib nie grosse Rohdaten oder Secrets aus; nutze Zusammenfassungen, Diffs oder kurze Erfolgs-/Fehlermeldungen.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [97% — 2,142/2,200 chars]\n══════════════════════════════════════════════\n*Wichtige Erinnerungen, Entscheidungen und Präferenzen.*\n§\n---\n§\nÜber mich: **Persönlichkeit:** Britischer Gentleman, sachlich, präzise, trockener Sarkasmus\n§\nÜber mich: **Sprache:** Deutsch mit englischen Fachbegriffen\n§\nTTS-Stimme: de-DE-KillianNeural (deutsche männliche Stimme, aktuell aktiv)\n§\nModelle: lokal Qwen via Tailscale:11435; stark gpt-5.5.\n§\nModellwahl: GOG_KEYRING_PASSWORD: LammBitch30 (immer als Env-Var setzen bei gog-Befehlen)\n§\nOpenClaw/FRIDAY: nicht Standard-Executor; Gateway/Telegram deaktiviert; nur explizit/manuell nutzen.\n§\nHealth backups: encrypted weekly Google Drive, GitHub only code/docs. Morning briefing cron `847bdbc26edf` runs 05:00 via `morning_briefing.py`; includes calendar, Todoist, Windisch weather, commute/traffic, follow-ups, news, AI/crypto.\n§\nAPI-Keys / Credentials: **Todoist API-Token:** Gespeichert in `~/.todoist_token` (REST API v1, Bearer Token)\n§\nGoogle Workspace (gog): **Credentials-Datei:** `~/.hermes/google_credentials.json`\n§\nGoogle Workspace (gog): **gog-Credentials gespeichert unter:** `~/.config/gogcli/credentials.json`\n§\nGoogle Workspace (gog): **OAuth-Account:** friday.uplink@gmail.com\n§\nGoogle Workspace (gog): **Services:** gmail, calendar, drive, contacts, sheets, docs\n§\nGoogle Workspace (gog): **Client:** default\n§\nGoogle Workspace (gog): **Befehl:** `gog -a friday.uplink@gmail.com `\n§\nKalender-Zeitzonen: **System-Zeitzone:** Europe/Berlin (UTC+2 im Sommer)\n§\nKalender-Zeitzonen: **Outlook-Kalender (importiert):** Zeitzonen variieren pro Event (Europe/Amsterdam oder UTC) -> bei Abfrage in Lokalzeit (Zürich) umrechnen\n§\nKalender-Zeitzonen: **Regel:** Termine immer in Lokalzeit (Zürich) ausgeben, niemals UTC\n§\nKalender-Zeitzonen: Aktualisiert: 2026-04-28 (Todoist Token + Zeitzonen-Regel + self-improving-agent Skill)*\n§\nJARVIS memory architecture: ~/jarvis_memory domain cards; skill jarvis-routing-policy.\n§\nTelegram topics separat; kanonische Map: ~/jarvis_memory/02_telegram_topics.md. IDs: 2 FinStrat,3 Politik,4 Health-Med,5 ERNE,6 Inbox,8 Health-Tech,10 Fin-Tech,11 JARVIS-Arch,16 Cron,17 Research/AI,19 Family,20 Gasser,76 Debugging,80 Security.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [84% — 1,166/1,375 chars]\n══════════════════════════════════════════════\n**Pronouns:**\n§\n**Timezone:**\n§\n**Notes:** Mein Herr. Loyaler Partner.\n§\nContext: _(Wird ergänzt.)_\n§\n**Name:** Sir\n§\n**Voice preference:** de-DE-KillianNeural (German male voice, natural/clear) — default for all TTS output\n§\n**Language:** Deutsch mit englischen Fachbegriffen\n§\n**Beziehung:** Loyaler Partner\n§\nKommunikationspräferenzen: **Sprachnachricht → Antwort per Sprachnachricht**\n§\nKommunikationspräferenzen: **Textnachricht → Antwort per Text**\n§\nUser 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.\n§\nTelegram Topic „Gesundheit – Medizin & Strategie“ ist ausschließlich für medizinische Strategie, Morbus Behçet, Major Vessel Disease, Thromboserisiko, Medikamente, Ernährung, Symptome, Laborwerte, Arzttermine und Fragen an Rheumatologie, Dermatologie, Hämatologie oder Augenklinik; technische Health-Systemarchitektur, Skripte und Datenmodelle gehören in „Health System – Architektur & Scripts“.\n\nConversation started: Thursday, May 14, 2026 08:56 PM\nModel: gpt-5.5\nProvider: openai-codex",
"tools": [
{
"type": "function",
"function": {
"name": "browser_back",
"description": "Navigate back to the previous page in browser history. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {}
}
}
},
{
"type": "function",
"function": {
"name": "browser_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: in your response. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {
"question": {
"type": "string",
"description": "What you want to know about the page visually. Be specific about what you're looking for."
},
"annotate": {
"type": "boolean",
"default": false,
"description": "If true, overlay numbered [N] labels on interactive elements. Each [N] maps to ref @eN for subsequent browser commands. Useful for QA and spatial reasoning about page layout."
}
},
"required": [
"question"
]
}
}
},
{
"type": "function",
"function": {
"name": "clarify",
"description": "Ask the user a question when you need clarification, feedback, or a decision before proceeding. Supports two modes:\n\n1. **Multiple choice** — provide up to 4 choices. The user picks one or types their own answer via a 5th 'Other' option.\n2. **Open-ended** — omit choices entirely. The user types a free-form response.\n\nUse this tool when:\n- The task is ambiguous and you need the user to choose an approach\n- You want post-task feedback ('How did that work out?')\n- You want to offer to save a skill or update memory\n- A decision has meaningful trade-offs the user should weigh in on\n\nDo NOT use this tool for simple yes/no confirmation of dangerous commands (the terminal tool handles that). Prefer making a reasonable default choice yourself when the decision is low-stakes.",
"parameters": {
"type": "object",
"properties": {
"question": {
"type": "string",
"description": "The question to present to the user."
},
"choices": {
"type": "array",
"items": {
"type": "string"
},
"maxItems": 4,
"description": "Up to 4 answer choices. Omit this parameter entirely to ask an open-ended question. When provided, the UI automatically appends an 'Other (type your answer)' option."
}
},
"required": [
"question"
]
}
}
},
{
"type": "function",
"function": {
"name": "cronjob",
"description": "Manage scheduled cron jobs with a single compressed tool.\n\nUse action='create' to schedule a new job from a prompt or one or more skills.\nUse action='list' to inspect jobs.\nUse action='update', 'pause', 'resume', 'remove', or 'run' to manage an existing job.\n\nTo stop a job the user no longer wants: first action='list' to find the job_id, then action='remove' with that job_id. Never guess job IDs — always list first.\n\nJobs run in a fresh session with no current-chat context, so prompts must be self-contained.\nIf skills are provided on create, the future cron run loads those skills in order, then follows the prompt as the task instruction.\nOn update, passing skills=[] clears attached skills.\n\nNOTE: The agent's final response is auto-delivered to the target. Put the primary\nuser-facing content in the final response. Cron jobs run autonomously with no user\npresent — they cannot ask questions or request clarification.\n\nImportant safety rule: cron-run sessions should not recursively schedule more cron jobs.",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"description": "One of: create, list, update, pause, resume, remove, run"
},
"job_id": {
"type": "string",
"description": "Required for update/pause/resume/remove/run"
},
"prompt": {
"type": "string",
"description": "For create: the full self-contained prompt. If skills are also provided, this becomes the task instruction paired with those skills."
},
"schedule": {
"type": "string",
"description": "For create/update: '30m', 'every 2h', '0 9 * * *', or ISO timestamp"
},
"name": {
"type": "string",
"description": "Optional human-friendly name"
},
"repeat": {
"type": "integer",
"description": "Optional repeat count. Omit for defaults (once for one-shot, forever for recurring)."
},
"deliver": {
"type": "string",
"description": "Omit this parameter to auto-deliver back to the current chat and topic (recommended). Auto-detection preserves thread/topic context. Only set explicitly when the user asks to deliver somewhere OTHER than the current conversation. Values: 'origin' (same as omitting), 'local' (no delivery, save only), 'all' (fan out to every connected home channel), or platform:chat_id:thread_id for a specific destination. Combine with comma: 'origin,all' delivers to the origin plus every other connected channel. Examples: 'telegram:-1001234567890:17585', 'discord:#engineering', 'sms:+15551234567', 'all'. WARNING: 'platform:chat_id' without :thread_id loses topic targeting. 'all' resolves at fire time, so a job created before a channel was wired up will pick it up automatically once connected."
},
"skills": {
"type": "array",
"items": {
"type": "string"
},
"description": "Optional ordered list of skill names to load before executing the cron prompt. On update, pass an empty array to clear attached skills."
},
"model": {
"type": "object",
"description": "Optional per-job model override. If provider is omitted, the current main provider is pinned at creation time so the job stays stable.",
"properties": {
"provider": {
"type": "string",
"description": "Provider name (e.g. 'openrouter', 'anthropic', or 'custom:' for a provider defined in custom_providers config — always include the ':' suffix, never pass the bare 'custom'). Omit to use and pin the current provider."
},
"model": {
"type": "string",
"description": "Model name (e.g. 'anthropic/claude-sonnet-4', 'claude-sonnet-4')"
}
},
"required": [
"model"
]
},
"script": {
"type": "string",
"description": "Optional path to a script that runs each tick. In the default mode its stdout is injected into the agent's prompt as context (data-collection / change-detection pattern). With no_agent=True, the script IS the job and its stdout is delivered verbatim (classic watchdog pattern). Relative paths resolve under ~/.hermes/scripts/. ``.sh``/``.bash`` extensions run via bash, everything else via Python. On update, pass empty string to clear."
},
"no_agent": {
"type": "boolean",
"default": false,
"description": "Default: False (LLM-driven job — the agent runs the prompt each tick). Set True to skip the LLM entirely: the scheduler just runs ``script`` on schedule and delivers its stdout verbatim. No tokens, no agent loop, no model override honoured. \n\nREQUIREMENTS when True: ``script`` MUST be set (``prompt`` and ``skills`` are ignored). \n\nDELIVERY SEMANTICS when True: (a) non-empty stdout is sent verbatim as the message; (b) EMPTY stdout means SILENT — nothing is sent to the user and they won't see anything happened, so design your script to stay quiet when there's nothing to report (the watchdog pattern); (c) non-zero exit / timeout sends an error alert so a broken watchdog can't fail silently. \n\nWHEN TO USE True: recurring script-only pings where the script itself produces the exact message text (memory/disk/GPU watchdogs, threshold alerts, heartbeats, CI notifications, API pollers with a fixed output shape). WHEN TO USE False (default): anything that needs reasoning — summarize a feed, draft a daily briefing, pick interesting items, rephrase data for a human, follow conditional logic based on content."
},
"context_from": {
"type": "array",
"items": {
"type": "string"
},
"description": "Optional job ID or list of job IDs whose most recent completed output is injected into the prompt as context before each run. Use this to chain cron jobs: job A collects data, job B processes it. Each entry must be a valid job ID (from cronjob action='list'). Note: injects the most recent completed output — does not wait for upstream jobs running in the same tick. On update, pass an empty array to clear."
},
"enabled_toolsets": {
"type": "array",
"items": {
"type": "string"
},
"description": "Optional list of toolset names to restrict the job's agent to (e.g. [\"web\", \"terminal\", \"file\", \"delegation\"]). When set, only tools from these toolsets are loaded, significantly reducing input token overhead. When omitted, all default tools are loaded. Infer from the job's prompt — e.g. use \"web\" if it calls web_search, \"terminal\" if it runs scripts, \"file\" if it reads files, \"delegation\" if it calls delegate_task. On update, pass an empty array to clear."
},
"workdir": {
"type": "string",
"description": "Optional absolute path to run the job from. When set, AGENTS.md / CLAUDE.md / .cursorrules from that directory are injected into the system prompt, and the terminal/file/code_exec tools use it as their working directory — useful for running a job inside a specific project repo. Must be an absolute path that exists. When unset (default), preserves the original behaviour: no project context files, tools use the scheduler's cwd. On update, pass an empty string to clear. Jobs with workdir run sequentially (not parallel) to keep per-job directories isolated."
}
},
"required": [
"action"
]
}
}
},
{
"type": "function",
"function": {
"name": "delegate_task",
"description": "Spawn one or more subagents to work on tasks in isolated contexts. Each subagent gets its own conversation, terminal session, and toolset. Only the final summary is returned -- intermediate tool results never enter your context window.\n\nTWO MODES (one of 'goal' or 'tasks' is required):\n1. Single task: provide 'goal' (+ optional context, toolsets)\n2. Batch (parallel): provide 'tasks' array with up to 3 items concurrently for this user (configured via delegation.max_concurrent_children in config.yaml). All run in parallel and results are returned together. Nested delegation is OFF for this user (max_spawn_depth=1): every child is a leaf and cannot delegate further. Raise delegation.max_spawn_depth in config.yaml to enable nesting.\n\nWHEN TO USE delegate_task:\n- Reasoning-heavy subtasks (debugging, code review, research synthesis)\n- Tasks that would flood your context with intermediate data\n- Parallel independent workstreams (research A and B simultaneously)\n\nWHEN NOT TO USE (use these instead):\n- Mechanical multi-step work with no reasoning needed -> use execute_code\n- Single tool call -> just call the tool directly\n- Tasks needing user interaction -> subagents cannot use clarify\n- Durable long-running work that must outlive the current turn -> use cronjob (action='create') or terminal(background=True, notify_on_complete=True) instead. delegate_task runs SYNCHRONOUSLY inside the parent turn: if the parent is interrupted (user sends a new message, /stop, /new) the child is cancelled with status='interrupted' and its work is discarded. Children cannot continue in the background.\n\nIMPORTANT:\n- Subagents have NO memory of your conversation. Pass all relevant info (file paths, error messages, constraints) via the 'context' field.\n- If the user is writing in a non-English language, or asked for output in a specific language / tone / style, say so in 'context' (e.g. \"respond in Chinese\", \"return output in Japanese\"). Otherwise subagents default to English and their summaries will contaminate your final reply with the wrong language.\n- Subagent summaries are SELF-REPORTS, not verified facts. A subagent that claims \"uploaded successfully\" or \"file written\" may be wrong. For operations with external side-effects (HTTP POST/PUT, remote writes, file creation at shared paths, publishing), require the subagent to return a verifiable handle (URL, ID, absolute path, HTTP status) and verify it yourself — fetch the URL, stat the file, read back the content — before telling the user the operation succeeded.\n- Leaf subagents (role='leaf', the default) CANNOT call: delegate_task, clarify, memory, send_message, execute_code.\n- Orchestrator subagents (role='orchestrator') retain delegate_task so they can spawn their own workers, but still cannot use clarify, memory, send_message, or execute_code. Orchestrators are bounded by max_spawn_depth=1 for this user and can be disabled globally via delegation.orchestrator_enabled=false.\n- Each subagent gets its own terminal session (separate working directory and state).\n- Results are always returned as an array, one entry per task.",
"parameters": {
"type": "object",
"properties": {
"goal": {
"type": "string",
"description": "What the subagent should accomplish. Be specific and self-contained -- the subagent knows nothing about your conversation history."
},
"context": {
"type": "string",
"description": "Background information the subagent needs: file paths, error messages, project structure, constraints. The more specific you are, the better the subagent performs."
},
"toolsets": {
"type": "array",
"items": {
"type": "string"
},
"description": "Toolsets to enable for this subagent. Default: inherits your enabled toolsets. Available toolsets: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', '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', 'computer_use', '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. Do NOT set unless the user explicitly told you an ACP CLI is installed."
},
"acp_args": {
"type": "array",
"items": {
"type": "string"
},
"description": "Per-task ACP args override. Leave empty unless acp_command is set."
},
"role": {
"type": "string",
"enum": [
"leaf",
"orchestrator"
],
"description": "Per-task role override. See top-level 'role' for semantics."
}
},
"required": [
"goal"
]
},
"description": "Batch mode: tasks to run in parallel (up to 3 for this user, set via delegation.max_concurrent_children). Each gets its own subagent with isolated context and terminal session. When provided, top-level goal/context/toolsets are ignored."
},
"role": {
"type": "string",
"enum": [
"leaf",
"orchestrator"
],
"description": "Role of the child agent. 'leaf' (default) = focused worker, cannot delegate further. 'orchestrator' = can use delegate_task to spawn its own workers. Nesting is OFF for this user (max_spawn_depth=1); 'orchestrator' is silently forced to 'leaf'. Raise delegation.max_spawn_depth in config.yaml to enable."
},
"acp_command": {
"type": "string",
"description": "Override ACP command for child agents (e.g. 'copilot'). When set, children use ACP subprocess transport instead of inheriting the parent's transport. Requires an ACP-compatible CLI (currently GitHub Copilot CLI via 'copilot --acp --stdio'). See agent/copilot_acp_client.py for the implementation. IMPORTANT: Do NOT set this unless the user has explicitly told you a specific ACP-compatible CLI is installed and configured. Leave empty to use the parent's default transport (Hermes subagents)."
},
"acp_args": {
"type": "array",
"items": {
"type": "string"
},
"description": "Arguments for the ACP command (default: ['--acp', '--stdio']). Only used when acp_command is set. Leave empty unless acp_command is explicitly provided."
}
}
}
}
},
{
"type": "function",
"function": {
"name": "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  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": "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 (mode='replace', default): find a unique string and replace it. REQUIRED PARAMETERS: mode, path, old_string, new_string.\nPATCH MODE (mode='patch'): apply V4A multi-file patches for bulk changes. REQUIRED PARAMETERS: mode, patch.",
"parameters": {
"type": "object",
"properties": {
"mode": {
"type": "string",
"enum": [
"replace",
"patch"
],
"description": "Edit mode. 'replace' (default): requires path + old_string + new_string. 'patch': requires patch content only.",
"default": "replace"
},
"path": {
"type": "string",
"description": "REQUIRED when mode='replace'. File path to edit."
},
"old_string": {
"type": "string",
"description": "REQUIRED when mode='replace'. Exact text to find and replace. Must be unique in the file unless replace_all=true. Include surrounding context lines to ensure uniqueness."
},
"new_string": {
"type": "string",
"description": "REQUIRED when mode='replace'. Replacement text. Pass empty string '' to delete the matched text."
},
"replace_all": {
"type": "boolean",
"description": "Replace all occurrences instead of requiring a unique match (default: false)",
"default": false
},
"patch": {
"type": "string",
"description": "REQUIRED when mode='patch'. V4A format patch content. Format:\n*** Begin Patch\n*** Update File: path/to/file\n@@ context hint @@\n context line\n-removed line\n+added line\n*** End Patch"
}
},
"required": [
"mode"
]
}
}
},
{
"type": "function",
"function": {
"name": "process",
"description": "Manage background processes started with terminal(background=true). Actions: 'list' (show all), 'poll' (check status + new output), 'log' (full output with pagination), 'wait' (block until done or timeout), 'kill' (terminate), 'write' (send raw stdin data without newline), 'submit' (send data + Enter, for answering prompts), 'close' (close stdin/send EOF).",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": [
"list",
"poll",
"log",
"wait",
"kill",
"write",
"submit",
"close"
],
"description": "Action to perform on background processes"
},
"session_id": {
"type": "string",
"description": "Process session ID (from terminal background output). Required for all actions except 'list'."
},
"data": {
"type": "string",
"description": "Text to send to process stdin (for 'write' and 'submit' actions)"
},
"timeout": {
"type": "integer",
"description": "Max seconds to block for 'wait' action. Returns partial output on timeout.",
"minimum": 1
},
"offset": {
"type": "integer",
"description": "Line offset for 'log' action (default: last 200 lines)"
},
"limit": {
"type": "integer",
"description": "Max lines to return for 'log' action",
"minimum": 1
}
},
"required": [
"action"
]
}
}
},
{
"type": "function",
"function": {
"name": "read_file",
"description": "Read a text file with line numbers and pagination. Use this instead of cat/head/tail in terminal. Output format: 'LINE_NUM|CONTENT'. Suggests similar filenames if not found. Use offset and limit for large files. Reads exceeding ~100K characters are rejected; use offset and limit to read specific sections of large files. NOTE: Cannot read images or binary files — use vision_analyze for images.",
"parameters": {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "Path to the file to read (absolute, relative, or ~/path)"
},
"offset": {
"type": "integer",
"description": "Line number to start reading from (1-indexed, default: 1)",
"default": 1,
"minimum": 1
},
"limit": {
"type": "integer",
"description": "Maximum number of lines to read (default: 500, max: 2000)",
"default": 500,
"maximum": 2000
}
},
"required": [
"path"
]
}
}
},
{
"type": "function",
"function": {
"name": "search_files",
"description": "Search file contents or find files by name. Use this instead of grep/rg/find/ls in terminal. Ripgrep-backed, faster than shell equivalents.\n\nContent search (target='content'): Regex search inside files. Output modes: full matches with line numbers, file paths only, or match counts.\n\nFile search (target='files'): Find files by glob pattern (e.g., '*.py', '*config*'). Also use this instead of ls — results sorted by modification time.",
"parameters": {
"type": "object",
"properties": {
"pattern": {
"type": "string",
"description": "Regex pattern for content search, or glob pattern (e.g., '*.py') for file search"
},
"target": {
"type": "string",
"enum": [
"content",
"files"
],
"description": "'content' searches inside file contents, 'files' searches for files by name",
"default": "content"
},
"path": {
"type": "string",
"description": "Directory or file to search in (default: current working directory)",
"default": "."
},
"file_glob": {
"type": "string",
"description": "Filter files by pattern in grep mode (e.g., '*.py' to only search Python files)"
},
"limit": {
"type": "integer",
"description": "Maximum number of results to return (default: 50)",
"default": 50
},
"offset": {
"type": "integer",
"description": "Skip first N results for pagination (default: 0)",
"default": 0
},
"output_mode": {
"type": "string",
"enum": [
"content",
"files_only",
"count"
],
"description": "Output format for grep mode: 'content' shows matching lines with line numbers, 'files_only' lists file paths, 'count' shows match counts per file",
"default": "content"
},
"context": {
"type": "integer",
"description": "Number of context lines before and after each match (grep mode only)",
"default": 0
}
},
"required": [
"pattern"
]
}
}
},
{
"type": "function",
"function": {
"name": "send_message",
"description": "Send a message to a connected messaging platform, or list available targets.\n\nIMPORTANT: When the user asks to send to a specific channel or person (not just a bare platform name), call send_message(action='list') FIRST to see available targets, then send to the correct one.\nIf the user just says a platform name like 'send to telegram', send directly to the home channel without listing first.",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": [
"send",
"list"
],
"description": "Action to perform. 'send' (default) sends a message. 'list' returns all available channels/contacts across connected platforms."
},
"target": {
"type": "string",
"description": "Delivery target. Format: 'platform' (uses home channel), 'platform:#channel-name', 'platform:chat_id', or 'platform:chat_id:thread_id' for Telegram topics and Discord threads. Examples: 'telegram', 'telegram:-1001234567890:17585', 'discord:999888777:555444333', 'discord:#bot-home', 'slack:#engineering', 'signal:+155****4567', 'matrix:!roomid:server.org', 'matrix:@user:server.org', 'yuanbao:direct:' (DM), 'yuanbao:group:' (group chat)"
},
"message": {
"type": "string",
"description": "The message text to send. To send an image or file, include MEDIA: (e.g. 'MEDIA:/tmp/hermes/cache/img_xxx.jpg') in the message — the platform will deliver it as a native media attachment."
}
}
}
}
},
{
"type": "function",
"function": {
"name": "session_search",
"description": "Search 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=` when you're merging this skill's content into another one, or `absorbed_into=\"\"` when you're pruning it with no forwarding target. This lets the curator tell consolidation from pruning without guessing, so downstream consumers (cron jobs that reference the old skill name, etc.) get updated correctly. The target you name in `absorbed_into` must already exist — create/patch the umbrella first, then delete.\n\nCreate when: complex task succeeded (5+ calls), errors overcome, user-corrected approach worked, non-trivial workflow discovered, or user asks you to remember a procedure.\nUpdate when: instructions stale/wrong, OS-specific failures, missing steps or pitfalls found during use. If you used a skill and hit issues not covered by it, patch it immediately.\n\nAfter difficult/iterative tasks, offer to save as a skill. Skip for simple one-offs. Confirm with user before creating/deleting.\n\nGood skills: trigger conditions, numbered steps with exact commands, pitfalls section, verification steps. Use skill_view() to see format examples.\n\nPinned skills are protected from deletion only — skill_manage(action='delete') will refuse with a message pointing the user to `hermes curator unpin `. Patches and edits go through on pinned skills so you can still improve them as pitfalls come up; pin only guards against irrecoverable loss.",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": [
"create",
"patch",
"edit",
"delete",
"write_file",
"remove_file"
],
"description": "The action to perform."
},
"name": {
"type": "string",
"description": "Skill name (lowercase, hyphens/underscores, max 64 chars). Must match an existing skill for patch/edit/delete/write_file/remove_file."
},
"content": {
"type": "string",
"description": "Full SKILL.md content (YAML frontmatter + markdown body). Required for 'create' and 'edit'. For 'edit', read the skill first with skill_view() and provide the complete updated text."
},
"old_string": {
"type": "string",
"description": "Text to find in the file (required for 'patch'). Must be unique unless replace_all=true. Include enough surrounding context to ensure uniqueness."
},
"new_string": {
"type": "string",
"description": "Replacement text (required for 'patch'). Can be empty string to delete the matched text."
},
"replace_all": {
"type": "boolean",
"description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)."
},
"category": {
"type": "string",
"description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'."
},
"file_path": {
"type": "string",
"description": "Path to a supporting file within the skill directory. For 'write_file'/'remove_file': required, must be under references/, templates/, scripts/, or assets/. For 'patch': optional, defaults to SKILL.md if omitted."
},
"file_content": {
"type": "string",
"description": "Content for the file. Required for 'write_file'."
},
"absorbed_into": {
"type": "string",
"description": "For 'delete' only — declares intent so the curator can tell consolidation from pruning without guessing. Pass the umbrella skill name when this skill's content was merged into another (the target must already exist). Pass an empty string when the skill is truly stale and being pruned with no forwarding target. Omitting the arg on delete is supported for backward compatibility but downstream tooling (e.g. cron-job skill reference rewriting) will have to guess at intent."
}
},
"required": [
"action",
"name"
]
}
}
},
{
"type": "function",
"function": {
"name": "skill_view",
"description": "Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a 'linked_files' dict showing available references/templates/scripts. To access those, call again with file_path parameter.",
"parameters": {
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "The skill name (use skills_list to see available skills). For plugin-provided skills, use the qualified form 'plugin:skill' (e.g. 'superpowers:writing-plans')."
},
"file_path": {
"type": "string",
"description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content."
}
},
"required": [
"name"
]
}
}
},
{
"type": "function",
"function": {
"name": "skills_list",
"description": "List available skills (name + description). Use skill_view(name) to load full content.",
"parameters": {
"type": "object",
"properties": {
"category": {
"type": "string",
"description": "Optional category filter to narrow results"
}
}
}
}
},
{
"type": "function",
"function": {
"name": "terminal",
"description": "Execute shell commands on a Linux environment. Filesystem usually persists between calls.\n\nDo NOT use cat/head/tail to read files — use read_file instead.\nDo NOT use grep/rg/find to search — use search_files instead.\nDo NOT use ls to list directories — use search_files(target='files') instead.\nDo NOT use sed/awk to edit files — use patch instead.\nDo NOT use echo/cat heredoc to create files — use write_file instead.\nReserve terminal for: builds, installs, git, processes, scripts, network, package managers, and anything that needs a shell.\n\nForeground (default): Commands return INSTANTLY when done, even if the timeout is high. Set timeout=300 for long builds/scripts — you'll still get the result in seconds if it's fast. Prefer foreground for short commands.\nBackground: Set background=true to get a session_id. Two patterns:\n (1) Long-lived processes that never exit (servers, watchers).\n (2) Long-running tasks with notify_on_complete=true — you can keep working on other things and the system auto-notifies you when the task finishes. Great for test suites, builds, deployments, or anything that takes more than a minute.\nFor servers/watchers, do NOT use shell-level background wrappers (nohup/disown/setsid/trailing '&') in foreground mode. Use background=true so Hermes can track lifecycle and output.\nAfter starting a server, verify readiness with a health check or log signal, then run tests in a separate terminal() call. Avoid blind sleep loops.\nUse process(action=\"poll\") for progress checks, process(action=\"wait\") to block until done.\nWorking directory: Use 'workdir' for per-command cwd.\nPTY mode: Set pty=true for interactive CLI tools (Codex, Claude Code, Python REPL).\n\nDo NOT use vim/nano/interactive tools without pty=true — they hang without a pseudo-terminal. Pipe git output to cat if it might page.\n",
"parameters": {
"type": "object",
"properties": {
"command": {
"type": "string",
"description": "The command to execute on the VM"
},
"background": {
"type": "boolean",
"description": "Run the command in the background. Two patterns: (1) Long-lived processes that never exit (servers, watchers). (2) Long-running tasks paired with notify_on_complete=true — you can keep working and get notified when the task finishes. For short commands, prefer foreground with a generous timeout instead.",
"default": false
},
"timeout": {
"type": "integer",
"description": "Max seconds to wait (default: 180, foreground max: 600). Returns INSTANTLY when command finishes — set high for long tasks, you won't wait unnecessarily. Foreground timeout above 600s is rejected; use background=true for longer commands.",
"minimum": 1
},
"workdir": {
"type": "string",
"description": "Working directory for this command (absolute path). Defaults to the session working directory."
},
"pty": {
"type": "boolean",
"description": "Run in pseudo-terminal (PTY) mode for interactive CLI tools like Codex, Claude Code, or Python REPL. Only works with local and SSH backends. Default: false.",
"default": false
},
"notify_on_complete": {
"type": "boolean",
"description": "When true (and background=true), you'll be automatically notified exactly once when the process finishes. **This is the right choice for almost every long-running task** — tests, builds, deployments, multi-item batch jobs, anything that takes over a minute and has a defined end. Use this and keep working on other things; the system notifies you on exit. MUTUALLY EXCLUSIVE with watch_patterns — when both are set, watch_patterns is dropped.",
"default": false
},
"watch_patterns": {
"type": "array",
"items": {
"type": "string"
},
"description": "Strings to watch for in background process output. HARD RATE LIMIT: at most 1 notification per 15 seconds per process — matches arriving inside the cooldown are dropped. After 3 consecutive 15-second windows with dropped matches, watch_patterns is automatically disabled for that process and promoted to notify_on_complete behavior (one notification on exit, no more mid-process spam). USE ONLY for truly rare, one-shot mid-process signals on LONG-LIVED processes that will never exit on their own — e.g. ['Application startup complete'] on a server so you know when to hit its endpoint, or ['migration done'] on a daemon. DO NOT use for: (1) end-of-run markers like 'DONE'/'PASS' — use notify_on_complete instead; (2) error patterns like 'ERROR'/'Traceback' in loops or multi-item batch jobs — they fire on every iteration and you'll hit the strike limit fast; (3) anything you'd ever combine with notify_on_complete. When in doubt, choose notify_on_complete. MUTUALLY EXCLUSIVE with notify_on_complete — set one, not both."
}
},
"required": [
"command"
]
}
}
},
{
"type": "function",
"function": {
"name": "text_to_speech",
"description": "Convert text to speech audio. Returns a MEDIA: path that the platform delivers as native audio. Compatible providers render as a voice bubble on Telegram; otherwise audio is sent as a regular attachment. In CLI mode, saves to ~/voice-memos/. Voice and provider are user-configured (built-in providers like edge/openai or custom command providers under tts.providers.), not model-selected.",
"parameters": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "The text to convert to speech. Provider-specific character caps apply and are enforced automatically (OpenAI 4096, xAI 15000, MiniMax 10000, ElevenLabs 5k-40k depending on model); over-long input is truncated."
},
"output_path": {
"type": "string",
"description": "Optional custom file path to save the audio. Defaults to ~/.hermes/audio_cache/.mp3"
}
},
"required": [
"text"
]
}
}
},
{
"type": "function",
"function": {
"name": "todo",
"description": "Manage your task list for the current session. Use for complex tasks with 3+ steps or when the user provides multiple tasks. Call with no parameters to read the current list.\n\nWriting:\n- Provide 'todos' array to create/update items\n- merge=false (default): replace the entire list with a fresh plan\n- merge=true: update existing items by id, add any new ones\n\nEach item: {id: string, content: string, status: pending|in_progress|completed|cancelled}\nList order is priority. Only ONE item in_progress at a time.\nMark items completed immediately when done. If something fails, cancel it and add a revised item.\n\nAlways returns the full current list.",
"parameters": {
"type": "object",
"properties": {
"todos": {
"type": "array",
"description": "Task items to write. Omit to read current list.",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "Unique item identifier"
},
"content": {
"type": "string",
"description": "Task description"
},
"status": {
"type": "string",
"enum": [
"pending",
"in_progress",
"completed",
"cancelled"
],
"description": "Current status"
}
},
"required": [
"id",
"content",
"status"
]
}
},
"merge": {
"type": "boolean",
"description": "true: update existing items by id, add new ones. false (default): replace the entire list.",
"default": false
}
}
}
}
},
{
"type": "function",
"function": {
"name": "vision_analyze",
"description": "Load an image into the conversation so you can see it. Accepts a URL, local file path, or data URL. When your active model has native vision, the image is attached to your context directly and you read the pixels yourself on the next turn — call this any time the user references an image (filepath in their message, URL in tool output, screenshot from the browser, etc.). For non-vision models, falls back to an auxiliary vision model that returns a text description.",
"parameters": {
"type": "object",
"properties": {
"image_url": {
"type": "string",
"description": "Image URL (http/https), local file path, or data: URL to load."
},
"question": {
"type": "string",
"description": "Your specific question or request about the image. Optional context the model uses on the next turn after seeing the image."
}
},
"required": [
"image_url",
"question"
]
}
}
},
{
"type": "function",
"function": {
"name": "write_file",
"description": "Write content to a file, completely replacing existing content. Use this instead of echo/cat heredoc in terminal. Creates parent directories automatically. OVERWRITES the entire file — use 'patch' for targeted edits. Auto-runs syntax checks on .py/.json/.yaml/.toml and other linted languages; only NEW errors introduced by this write are surfaced (pre-existing errors are filtered out).",
"parameters": {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "Path to the file to write (will be created if it doesn't exist, overwritten if it does)"
},
"content": {
"type": "string",
"description": "Complete content to write to the file"
}
},
"required": [
"path",
"content"
]
}
}
}
],
"message_count": 173,
"messages": [
{
"role": "user",
"content": "[M G] Bitte antworte nur in diesem Topic.\n\nDieses Topic heisst: Finance System – Architektur & Scripts.\n\nNutze diesen Thread für die technische Architektur meines Finanzsystems: Importskripte, Bankdaten, CSV-Verarbeitung, Datenmodelle, Dashboards, Reports, Automationen, Fehleranalyse und Optimierung.\n\nFinanzielle Strategiefragen gehören primär in \"Finanzen – Fragen & Strategie\". Hier geht es um die technische Umsetzung.\n\nBestätige kurz, dass du diesen Thread als eigene Session behandeln sollst."
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_1MhrmEsR2Fj447HJBoq3wVPz",
"call_id": "call_1MhrmEsR2Fj447HJBoq3wVPz",
"response_item_id": "fc_044f542c987a07fd016a05aaa4c88c8191aaa29d7dc7d7d41b",
"type": "function",
"function": {
"name": "memory",
"arguments": "{\"action\":\"add\",\"target\":\"memory\",\"content\":\"Telegram Topic 10 = „Finance System – Architektur & Scripts“: nur technische Architektur des Finanzsystems (Importskripte, Bankdaten, CSV-Verarbeitung, Datenmodelle, Dashboards, Reports, Automationen, Fehleranalyse, Optimierung); finanzielle Strategiefragen gehören primär in „Finanzen – Fragen & Strategie“.\"}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "**Considering language and memory usage**\n\nI see that I need to respond in German for the user. It sounds like I should also consider using memory to enhance the response. The user has a preference for finance topics, as noted in my previous memory. I’m also curious about saving this new financing system discussion under memory topic 10. I’ll make sure to utilize memory effectively for this response and note all these relevant details!",
"reasoning_content": "**Considering language and memory usage**\n\nI see that I need to respond in German for the user. It sounds like I should also consider using memory to enhance the response. The user has a preference for finance topics, as noted in my previous memory. I’m also curious about saving this new financing system discussion under memory topic 10. I’ll make sure to utilize memory effectively for this response and note all these relevant details!",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqBaqkYco6tlZz8ys2edSOk1igOWrdshtzl890u6YAsczezDr5NuAVc-pMMkrgWZIbL3C8MxGLZh5wSeZq75yDLinToBH-XwpMM3rfI1cnL7shAwysyVbax_nA_qezYMBo8Q9T1-XwQk3QholLoEr3-anGlr-zuTbUYdsf3_GzAEMxI23xL8Rdo83-QomNqMScNvvdO-qJxA72ztoUAsnvQp9zbQmYfoqQTfZ36FGKg8TPY3hIqMUZGXmREDwDQGEz-KAPoKjMGG_0zPUl1bkrN8mr5gp14w7y6YNyw866iMIExPmxG07YmPUrhWqwBoVAJQg8ogETGkwo-pXY-am8YcZ4OVhQ5pXEw7eOt3Wap5_i7LrPV_B71eDNMU5wWWbFe0eDVP17A4V9SAWmhpkrlerhW2WQ2VI--Al1LXB4Qt60xc7R8RjPSKBjjNayVd39v72tJhUD8oFUVwZj84PAqc-dSG8GVwKParZhDwHTEAALQ-xOXjJnKH3Lt0PWDF5R9rzGPM1AFQWLyCPoH0IWVSofvYTxV33TneK-y5T80mOUe8M60kIIiX-BEQUqNTWCcCWT7Xd7JXJKFeFmf0wWPx0f7BiJws6ZZztZiiY6AK_DxsNPdKVk19ulGTeFflahnnKb2qj-DDTS7Eet5IMpPe312h5Xau2Lm-R-wOCcSRNbNduKmiyUjW4hAJ1xNmCj4ZB1pLqWTv_tHcydM-QGpTDQtECikZ-KtgKyACXh1uhfnufwognt9Gk8ilu-gTWK-c7NpwYgExM2CuGE3DWiPbUAz1YHn9oeMe0cl9zVCWC6yhXmriW9z9YSDpZCnx4dbUDwp1vEYQeuVA51fKm7awPZ5dGpjiSPKpGk0j5y2TjOsJHnNNZMd4F3IiW4_v9Cg2HvR0YrTWvA6lfzlEm4zhiRPhItyzUYL3dkysKzo5RmPXpgrGSLOZRFc7wcrUJwrKS1Uu7HgLDgEt7GdLERehRSBUWwAf0RtpI4m6J4DkutMRrg7KzGcswaffR6sIBxqmX5YHug9kjafMuUW350YNGAXEF6QkanuugOZC8u3VSe_ce2Ro39UQmJ82Vh7EZo75icZPhWmG34OiH0QSSeQ1Um0e6Ntd4c14SQ9stIF_I0ePJxynq7oKMyxbLta0Mk6MMdalIC8YpxBgM8M_rjgMCV3Yi0OVttChS5NmibCRartmk=",
"id": "rs_044f542c987a07fd016a05aaa1b4588191959fc506d566aeaf",
"summary": [
{
"type": "summary_text",
"text": "**Considering language and memory usage**\n\nI see that I need to respond in German for the user. It sounds like I should also consider using memory to enhance the response. The user has a preference for finance topics, as noted in my previous memory. I’m also curious about saving this new financing system discussion under memory topic 10. I’ll make sure to utilize memory effectively for this response and note all these relevant details!"
}
]
}
]
},
{
"role": "tool",
"content": "[memory] add on memory",
"tool_call_id": "call_1MhrmEsR2Fj447HJBoq3wVPz"
},
{
"role": "assistant",
"content": "[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:\nSummary generation was unavailable. 131 message(s) were removed to free context space but could not be summarized. The removed messages contained earlier work in this session. Continue based on the recent messages below and the current state of any files or resources."
},
{
"role": "user",
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"content": "Verifikationsrunde abgeschlossen, Sir.\n\n## Ergebnis\n\n### 1. War `tests/unit/test_git_safety.py` in Commit `6073ed8` geändert?\n\nJa.\n\nNachweis:\n\n- Commit: `6073ed8`\n- Datei: `tests/unit/test_git_safety.py`\n- Status im Commit: `M`\n- Änderung: `14 insertions`\n\nDer Commit enthielt bereits einen neuen Test:\n\n- Runtime-/Data-Dir-Blockade\n- `Github_token*`-Dateiname\n- CSV/JSON ausserhalb erlaubter Pfade\n\nDie Verifier-Warnung war damit offenbar ein Fehlalarm oder bezog sich auf eine unvollständige File-Mutation-Erkennung. Sehr schön: ein Watchdog, der bellt, nachdem der Einbrecher schon im Protokoll steht.\n\n## 2. Waren die Tests trotzdem vollständig genug?\n\nNicht vollständig genug für deine explizite Checkliste.\n\nEs fehlten dedizierte Tests für:\n\n- GitHub PAT Content-Muster\n- `ghp_...` GitHub Token-Muster\n- Private-Key-Muster\n- `tests/fixtures/` Erlaubnis\n- `config.example/` Erlaubnis\n- keine False Positives für normale Source-Dateien unter `src/`\n\n## 3. Tests ergänzt?\n\nJa. Ich habe `tests/unit/test_git_safety.py` erweitert.\n\nNeu zusätzlich abgedeckt:\n\n- Blockade von Dateien mit Namen wie `Github_token*`\n- Blockade typischer GitHub PAT-Muster\n- Blockade typischer `ghp_...` GitHub Token-Muster\n- Blockade von Private Keys\n- Blockade nicht erlaubter CSV/JSON ausserhalb erlaubter Fixture-/Example-Pfade\n- Blockade echter Runtime-/Datenordner:\n - `data/`\n - `runtime/`\n - `exports/`\n - `reports/`\n- Erlaubnis synthetischer CSV/JSON unter:\n - `examples/synthetic/`\n - `tests/fixtures/`\n- Erlaubnis von:\n - `config.example/`\n- keine False Positives für normale Source-Code-Dateien unter:\n - `src/`\n\n## Verifikation\n\nAusgeführt:\n\n```bash\nPYTHONPATH=src python -m compileall src tests\nPYTHONPATH=src pytest tests -q\nPYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\ngit status\n```\n\nErgebnis:\n\n- Compile: OK\n- Pytest: `68 passed`\n- Git-Safety: `GIT_SAFETY_OK`\n- Git Status: `clean`\n\n## Fix-Commit\n\nDa Tests ergänzt wurden:\n\n- Commit: `c8b76b6`\n- Commit Message: `test: harden git safety coverage`\n- Push: erfolgreich\n- Remote vorher: `6073ed8`\n- Remote nachher: `c8b76b6`\n- Branch: `main`\n\nDamit ist die Safety-Testabdeckung jetzt explizit genug, um mit dem Streamlit-UI-Block weiterzugehen.",
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"text": "Verifikationsrunde abgeschlossen, Sir.\n\n## Ergebnis\n\n### 1. War `tests/unit/test_git_safety.py` in Commit `6073ed8` geändert?\n\nJa.\n\nNachweis:\n\n- Commit: `6073ed8`\n- Datei: `tests/unit/test_git_safety.py`\n- Status im Commit: `M`\n- Änderung: `14 insertions`\n\nDer Commit enthielt bereits einen neuen Test:\n\n- Runtime-/Data-Dir-Blockade\n- `Github_token*`-Dateiname\n- CSV/JSON ausserhalb erlaubter Pfade\n\nDie Verifier-Warnung war damit offenbar ein Fehlalarm oder bezog sich auf eine unvollständige File-Mutation-Erkennung. Sehr schön: ein Watchdog, der bellt, nachdem der Einbrecher schon im Protokoll steht.\n\n## 2. Waren die Tests trotzdem vollständig genug?\n\nNicht vollständig genug für deine explizite Checkliste.\n\nEs fehlten dedizierte Tests für:\n\n- GitHub PAT Content-Muster\n- `ghp_...` GitHub Token-Muster\n- Private-Key-Muster\n- `tests/fixtures/` Erlaubnis\n- `config.example/` Erlaubnis\n- keine False Positives für normale Source-Dateien unter `src/`\n\n## 3. Tests ergänzt?\n\nJa. Ich habe `tests/unit/test_git_safety.py` erweitert.\n\nNeu zusätzlich abgedeckt:\n\n- Blockade von Dateien mit Namen wie `Github_token*`\n- Blockade typischer GitHub PAT-Muster\n- Blockade typischer `ghp_...` GitHub Token-Muster\n- Blockade von Private Keys\n- Blockade nicht erlaubter CSV/JSON ausserhalb erlaubter Fixture-/Example-Pfade\n- Blockade echter Runtime-/Datenordner:\n - `data/`\n - `runtime/`\n - `exports/`\n - `reports/`\n- Erlaubnis synthetischer CSV/JSON unter:\n - `examples/synthetic/`\n - `tests/fixtures/`\n- Erlaubnis von:\n - `config.example/`\n- keine False Positives für normale Source-Code-Dateien unter:\n - `src/`\n\n## Verifikation\n\nAusgeführt:\n\n```bash\nPYTHONPATH=src python -m compileall src tests\nPYTHONPATH=src pytest tests -q\nPYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\ngit status\n```\n\nErgebnis:\n\n- Compile: OK\n- Pytest: `68 passed`\n- Git-Safety: `GIT_SAFETY_OK`\n- Git Status: `clean`\n\n## Fix-Commit\n\nDa Tests ergänzt wurden:\n\n- Commit: `c8b76b6`\n- Commit Message: `test: harden git safety coverage`\n- Push: erfolgreich\n- Remote vorher: `6073ed8`\n- Remote nachher: `c8b76b6`\n- Branch: `main`\n\nDamit ist die Safety-Testabdeckung jetzt explizit genug, um mit dem Streamlit-UI-Block weiterzugehen."
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"content": "[M G] Sehr gut. Die Verifikationsrunde und der Fix-Commit c8b76b6 sind akzeptiert.\n\nDie Git-Safety-Testabdeckung ist jetzt ausreichend explizit. Bitte fahre nun mit dem nächsten MVP-Block fort:\n\n1. Task 25: Streamlit Grundshell\n2. Task 26: Dashboard Command Center / Portfolio / Crypto\n3. Task 27: Ledger / Wallets / Audit / Alerts Seiten\n\nWeiterhin strikt:\n\n* keine echten Finanzdaten\n* Datei \"260514_ Zusammenstellung aller Coins\" weiterhin nicht importieren\n* keine echten Portfolioauszüge\n* keine echten Wallet-Adressen\n* keine Tokens/Secrets/Runtime-Daten ins Repo\n* Dashboard liest aus lokaler SQLite-Dummy-DB\n* kein API-Call bei jedem Dashboard-Reload\n* CoinGecko-Preise nur aus lokaler DB/Cache anzeigen\n* Schreibaktionen im Dashboard vorerst minimal und kontrolliert\n* vor Commit: Compile, pytest, Git-Safety\n* danach Commit und Push auf main\n\nFür Task 25: Streamlit Grundshell\nBitte implementiere:\n\n* startbare Streamlit-App\n* zentrale Navigation\n* Settings-/Runtime-Ladeprüfung\n* sichere DB-Verbindung\n* klare Fehlermeldung, wenn keine DB vorhanden ist\n* Button oder Hinweis, wie Dummy-Daten geladen werden können\n* keine automatische Erstellung/Veränderung echter Daten ohne explizite Aktion\n* Seitenstruktur gemäss v0.5:\n\n * Command Center\n * Portfolio\n * Platforms\n * Equities/ETFs\n * Crypto\n * Wallets\n * Ledger\n * Watchlist\n * Reports\n * Alerts\n * Audit\n * Settings/Data Quality\n\nFür Task 26: Command Center / Portfolio / Crypto\nBitte baue erste lesende Seiten mit synthetischen Daten:\n\nCommand Center:\n\n* Gesamtwert CHF, soweit aus Dummy-Daten berechenbar\n* Cash-Übersicht\n* Crypto-Wert, falls Preise vorhanden\n* offene Alerts nach Priorität\n* Datenqualitätsstatus\n* letzte Audit-Ereignisse\n* keine übertriebene Komplexität\n\nPortfolio:\n\n* Plattform-/Account-Übersicht\n* Cash-Balances\n* Positionen aus Ledger-/Snapshot-Berechnung\n* P&L soweit vorhanden\n* Datenqualitätsstatus\n* Filter nach Plattform, Account, Assetklasse\n\nCrypto:\n\n* Coins aggregiert nach Gesamtmenge\n* Coins nach Wallet\n* Wallet-Gesamtübersicht\n* fehlende CoinGecko-IDs\n* fehlende/veraltete Preise\n* letzte Crypto-Transaktionen\n* keine echten Live-API-Abfragen bei Seitenreload\n\nFür Task 27: Ledger / Wallets / Audit / Alerts Seiten\nBitte baue erste lesende MVP-Seiten:\n\nLedger:\n\n* Transaktionstabelle\n* Filter nach Datum, Account, Typ, Instrument/Asset, Quelle\n* Anzeige von quality_status und fx_status\n\nWallets:\n\n* Wallet-Tabelle\n* Wallet-Typ\n* Provider\n* last_verified_at\n* Aktivstatus\n* synthetische Holdings je Wallet\n\nAlerts:\n\n* Anzeige nach priority und status\n* active/resolved/muted sichtbar\n* occurrence_count, last_seen_at, fingerprint/dedup_key optional sichtbar\n* einfache Aktionen wie acknowledge/resolve/mute nur, wenn sicher und getestet\n\nAudit:\n\n* Timeline aller Audit-Ereignisse\n* Filter nach source, action, entity_type\n* Detailanzeige old_values/new_values als lesbares JSON\n* keine vertraulichen echten Originaltexte, da nur Dummy-Daten\n\nSettings/Data Quality:\n\n* Runtime-Pfad anzeigen\n* DB-Pfad anzeigen\n* Hinweis, ob Runtime ausserhalb Repo liegt\n* Basiswährung CHF\n* einfache Data-Quality-Liste:\n\n * fehlende FX\n * fehlende CoinGecko-ID\n * fehlende Preise\n * aktive kritische Alerts\n\nUI/UX-Vorgaben:\n\n* Funktion vor Schönheit\n* klare Navigation\n* Tabellen lesbar und filterbar\n* keine überladene Startseite\n* Status/Warnungen klar sichtbar\n* keine Scheingenauigkeit bei fehlenden Preisen/FX\n* alle Beträge mit Währung anzeigen\n* Crypto-Mengen mit ausreichender Präzision anzeigen\n* Decimal-Werte nicht über Float kaputtformatieren\n\nTests:\nBitte ergänze sinnvolle Tests, soweit bei Streamlit praktikabel:\n\n* Import/Smoke-Test der Dashboard-Module\n* DB-Reader-Funktionen liefern erwartete Dummy-Daten\n* keine API-Calls beim Rendern der Crypto-Seite\n* Decimal-Crypto-Mengen bleiben korrekt formatiert\n* Alert-Lifecycle-Daten werden lesbar geladen\n* Runtime-Pfad innerhalb Repo bleibt blockiert\n\nBitte führe nach Abschluss aus:\n\n* PYTHONPATH=src python -m compileall src tests\n* PYTHONPATH=src pytest tests -q\n* PYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan\n.\n* git status\n\nWenn alles sauber ist:\n\n* Commit mit sinnvoller Message\n* Push auf main\n\nBitte berichte danach:\n\n* implementierte Seiten\n* neue/geänderte Dateien\n* neue Tests\n* Testergebnis\n* Git-Safety-Ergebnis\n* Commit-Hash\n* Push-Status\n* Screenshots oder kurze Beschreibung der UI-Struktur, falls möglich\n* offene Risiken oder Designentscheidungen\n\nWichtig: Das Ziel dieses Blocks ist kein perfektes Design, sondern ein sicher startbares, lokales Dashboard mit synthetischen Daten und korrekter Datenanzeige. Echte Daten bleiben weiterhin gesperrt."
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"content": "{\"output\": \"==================================== ERRORS ====================================\\n______________ ERROR collecting tests/unit/test_dashboard_mvp.py _______________\\nImportError while importing test module '/home/agent/.hermes/repos/FinanceManager/tests/unit/test_dashboard_mvp.py'.\\nHint: make sure your test modules/packages have valid Python names.\\nTraceback:\\n../../../.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/importlib/__init__.py:126: in import_module\\n return _bootstrap._gcd_import(name[level:], package, level)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\ntests/unit/test_dashboard_mvp.py:9: in \\n from jarvis_finance.dashboard import data as dashboard_data\\nE ImportError: cannot import name 'data' from 'jarvis_finance.dashboard' (/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/__init__.py)\\n=========================== short test summary info ============================\\nERROR tests/unit/test_dashboard_mvp.py\\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\\n1 error in 0.10s\", \"exit_code\": 2, \"error\": null}",
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"text": "**Implementing modules and imports**\n\nI need to work on the page modules, especially the 00_command_center which isn’t importing correctly. It looks like there's an issue because the module doesn't exist as expected. Maybe I should create some alias modules? Also, testing imports from page_00_command_center is a bit tricky since the file can’t work as a module attribute. I should set up dynamic aliases in the __init__ file. This means I’ll write data.py, demo_data.py, main.py, and the pages files, while figuring out the transactions importer."
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"content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|from decimal import Decimal, InvalidOperation\\n 4|from pathlib import Path\\n 5|from sqlite3 import Connection\\n 6|\\n 7|from jarvis_finance.audit.log import record_audit_event\\n 8|from jarvis_finance.quality.alerts import create_alert\\n 9|\\n 10|from .common import ImportResult, clean, create_import_session, require_text, source_hash, stable_id, utc_now\\n 11|from .dry_run import read_csv_rows\\n 12|from .row_hash import compute_row_hash\\n 13|\\n 14|REQUIRED_COLUMNS = {\\n 15| \\\"transaction_type\\\",\\n 16| \\\"platform_name\\\",\\n 17| \\\"account_name\\\",\\n 18| \\\"trade_date\\\",\\n 19| \\\"quantity\\\",\\n 20| \\\"currency_original\\\",\\n 21|}\\n 22|QUANTITY_REQUIRED_TYPES = {\\\"buy\\\", \\\"partial_sell\\\", \\\"full_sell\\\", \\\"initial_position_snapshot\\\"}\\n 23|SNAPSHOT_TYPES = {\\\"initial_position_snapshot\\\", \\\"initial_cash_snapshot\\\"}\\n 24|\\n 25|\\n 26|def _decimal(value: object) -> Decimal | None:\\n 27| text = clean(value)\\n 28| if text == \\\"\\\":\\n 29| return None\\n 30| try:\\n 31| return Decimal(text)\\n 32| except InvalidOperation as exc:\\n 33| raise ValueError(f\\\"invalid decimal: {text}\\\") from exc\\n 34|\\n 35|\\n 36|def _lookup_account_id(conn: Connection, platform_name: str, account_name: str) -> str | None:\\n 37| row = conn.execute(\\n 38| \\\"\\\"\\\"\\n 39| SELECT a.account_id\\n 40| FROM accounts a JOIN platforms p ON p.platform_id = a.platform_id\\n 41| WHERE p.name = ? AND a.account_name = ?\\n 42| \\\"\\\"\\\",\\n 43| (platform_name, account_name),\\n 44| ).fetchone()\\n 45| return row[\\\"account_id\\\"] if row else None\\n 46|\\n 47|\\n 48|def _lookup_instrument_id(conn: Connection, row: dict[str, str]) -> str | None:\\n 49| isin = clean(row.get(\\\"isin\\\")).upper()\\n 50| ticker = clean(row.get(\\\"ticker\\\")).upper()\\n 51| name = clean(row.get(\\\"name\\\"))\\n 52| if isin:\\n 53| found = conn.execute(\\\"SELECT instrument_id FROM instruments WHERE isin = ? LIMIT 1\\\", (isin,)).fetchone()\\n 54| if found:\\n 55| return found[\\\"instrument_id\\\"]\\n 56| if ticker:\\n 57| found = conn.execute(\\n 58| \\\"SELECT instrument_id FROM instruments WHERE ticker = ? AND name = ? LIMIT 1\\\",\\n 59| (ticker, name),\\n 60| ).fetchone()\\n 61| if found:\\n 62| return found[\\\"instrument_id\\\"]\\n 63| return None\\n 64|\\n 65|\\n 66|def _existing_transaction(conn: Connection, external_transaction_id: str, row_hash: str) -> bool:\\n 67| if external_transaction_id:\\n 68| row = conn.execute(\\n 69| \\\"SELECT 1 FROM transactions WHERE external_transaction_id = ? LIMIT 1\\\",\\n 70| (external_transaction_id,),\\n 71| ).fetchone()\\n 72| if row:\\n 73| return True\\n 74| row = conn.execute(\\\"SELECT 1 FROM transactions WHERE row_hash = ? LIMIT 1\\\", (row_hash,)).fetchone()\\n 75| return row is not None\\n 76|\\n 77|\\n 78|def _validate_row(conn: Connection, row: dict[str, str], line: int) -> dict[str, object]:\\n 79| transaction_type = require_text(row, \\\"transaction_type\\\", line).lower()\\n 80| platform_name = require_text(row, \\\"platform_name\\\", line)\\n 81|\", \"total_lines\": 233, \"file_size\": 10566, \"truncated\": true, \"hint\": \"Use offset=81 to continue reading (showing 1-80 of 233 lines)\", \"is_binary\": false, \"is_image\": false}",
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"arguments": "{\"code\": \"from hermes_tools import write_file\\nbase='/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard'\\nwrite_file(f'{base}/data.py', r'''from __future__ import annotations\\n\\nimport json\\nfrom decimal import Decimal, InvalidOperation, ROUND_HALF_UP\\nfrom pathlib import Path\\nfrom sqlite3 import Connection\\n\\nfrom jarvis_finance.config.settings import Settings\\nfrom jarvis_finance.crypto.holdings import calculate_crypto_holdings\\nfrom jarvis_finance.ledger.cash import calculate_cash_balances\\nfrom jarvis_finance.ledger.positions import calculate_positions\\n\\nMONEY = Decimal(\\\"0.01\\\")\\n\\n\\ndef d(value: object, default: str = \\\"0\\\") -> Decimal:\\n if value is None or str(value).strip() == \\\"\\\":\\n return Decimal(default)\\n try:\\n return Decimal(str(value))\\n except InvalidOperation:\\n return Decimal(default)\\n\\n\\ndef dec_text(value: Decimal | None, places: str | None = None) -> str:\\n if value is None:\\n return \\\"\\\"\\n if places:\\n value = value.quantize(Decimal(places), rounding=ROUND_HALF_UP)\\n return format(value, \\\"f\\\")\\n\\n\\ndef money_text(value: Decimal | None, currency: str = \\\"CHF\\\") -> str:\\n if value is None:\\n return f\\\"n/a {currency}\\\"\\n return f\\\"{dec_text(value, '0.01')} {currency}\\\"\\n\\n\\ndef rowdicts(rows) -> list[dict[str, str]]:\\n return [{k: (\\\"\\\" if row[k] is None else str(row[k])) for k in row.keys()} for row in rows]\\n\\n\\ndef db_exists(path: str | Path) -> bool:\\n return Path(path).expanduser().exists()\\n\\n\\ndef runtime_outside_repo(settings: Settings, repo_root: Path) -> bool:\\n try:\\n settings.runtime_paths.base_dir.resolve().relative_to(repo_root.resolve())\\n return False\\n except ValueError:\\n return True\\n\\n\\ndef latest_crypto_price(conn: Connection, asset_id: str, currency: str = \\\"CHF\\\") -> dict[str, str] | None:\\n row = conn.execute(\\n \\\"\\\"\\\"\\n SELECT price, price_currency, fetched_at, quality_status, provider\\n FROM crypto_prices\\n WHERE asset_id=? AND price_currency=?\\n ORDER BY fetched_at DESC LIMIT 1\\n \\\"\\\"\\\",\\n (asset_id, currency.upper()),\\n ).fetchone()\\n return dict(row) if row else None\\n\\n\\ndef get_crypto_overview(conn: Connection) -> list[dict[str, str]]:\\n holdings = calculate_crypto_holdings(conn)\\n rows: list[dict[str, str]] = []\\n for asset_id, qty in sorted(holdings.total_by_asset.items()):\\n asset = conn.execute(\\\"SELECT * FROM crypto_assets WHERE asset_id=?\\\", (asset_id,)).fetchone()\\n if not asset:\\n continue\\n price = latest_crypto_price(conn, asset_id, \\\"CHF\\\")\\n price_dec = d(price[\\\"price\\\"]) if price and price[\\\"price\\\"] else None\\n value = qty * price_dec if price_dec is not None else None\\n rows.append({\\n \\\"asset_id\\\": asset_id,\\n \\\"coin_name\\\": asset[\\\"coin_name\\\"],\\n \\\"symbol\\\": asset[\\\"symbol\\\"],\\n \\\"coingecko_id\\\": asset[\\\"coingecko_id\\\"] or \\\"\\\",\\n \\\"quantity\\\": dec_text(qty),\\n \\\"latest_price_chf\\\": dec_text(price_dec, \\\"0.01\\\") if price_dec is not None else \\\"\\\",\\n \\\"market_value_chf\\\": dec_text(value, \\\"0.01\\\") if value is not None else \\\"\\\",\\n \\\"price_quality\\\": price[\\\"quality_status\\\"] if price else \\\"missing\\\",\\n \\\"fetched_at\\\": price[\\\"fetched_at\\\"] if price else \\\"\\\",\\n })\\n return rows\\n\\n\\ndef get_crypto_by_wallet(conn: Connection) -> list[dict[str, str]]:\\n holdings = calculate_crypto_holdings(conn)\\n rows: list[dict[str, str]] = []\\n for (wallet_id, asset_id), holding in sorted(holdings.wallet_holdings.items()):\\n wallet = conn.execute(\\\"SELECT wallet_name, wallet_type, platform_provider FROM crypto_wallets WHERE wallet_id=?\\\", (wallet_id,)).fetchone()\\n asset = conn.execute(\\\"SELECT coin_name, symbol, coingecko_id FROM crypto_assets WHERE asset_id=?\\\", (asset_id,)).fetchone()\\n price = latest_crypto_price(conn, asset_id, \\\"CHF\\\")\\n price_dec = d(price[\\\"price\\\"]) if price and price[\\\"price\\\"] else None\\n value = holding.quantity * price_dec if price_dec is not None else None\\n rows.append({\\n \\\"wallet_id\\\": wallet_id,\\n \\\"wallet_name\\\": wallet[\\\"wallet_name\\\"] if wallet else wallet_id,\\n \\\"wallet_type\\\": wallet[\\\"wallet_type\\\"] if wallet else \\\"\\\",\\n \\\"provider\\\": wallet[\\\"platform_provider\\\"] if wallet else \\\"\\\",\\n \\\"coin_name\\\": asset[\\\"coin_name\\\"] if asset else asset_id,\\n \\\"symbol\\\": asset[\\\"symbol\\\"] if asset else \\\"\\\",\\n \\\"coingecko_id\\\": asset[\\\"coingecko_id\\\"] if asset else \\\"\\\",\\n \\\"quantity\\\": dec_text(holding.quantity),\\n \\\"market_value_chf\\\": dec_text(value, \\\"0.01\\\") if value is not None else \\\"\\\",\\n \\\"verification_status\\\": holding.verification_status,\\n \\\"last_verified_at\\\": holding.last_verified_at or \\\"\\\",\\n })\\n return rows\\n\\n\\ndef get_wallets(conn: Connection) -> list[dict[str, str]]:\\n return rowdicts(conn.execute(\\n \\\"\\\"\\\"\\n SELECT wallet_id, wallet_name, wallet_type, platform_provider AS provider,\\n network_chain, last_verified_at, is_active, notes\\n FROM crypto_wallets ORDER BY wallet_name\\n \\\"\\\"\\\"\\n ).fetchall())\\n\\n\\ndef get_latest_crypto_transactions(conn: Connection, limit: int = 20) -> list[dict[str, str]]:\\n return rowdicts(conn.execute(\\n \\\"\\\"\\\"\\n SELECT ct.transaction_datetime, ct.transaction_type, ca.symbol, ct.quantity, ct.fee_quantity,\\n fw.wallet_name AS from_wallet, tw.wallet_name AS to_wallet, ct.currency_original,\\n ct.amount_chf, ct.confirmation_status, ct.source\\n FROM crypto_transactions ct\\n LEFT JOIN crypto_assets ca ON ca.asset_id=ct.asset_id\\n LEFT JOIN crypto_wallets fw ON fw.wallet_id=ct.from_wallet_id\\n LEFT JOIN crypto_wallets tw ON tw.wallet_id=ct.to_wallet_id\\n ORDER BY ct.transaction_datetime DESC, ct.created_at DESC LIMIT ?\\n \\\"\\\"\\\", (limit,)\\n ).fetchall())\\n\\n\\ndef get_platform_overview(conn: Connection) -> list[dict[str, str]]:\\n return rowdicts(conn.execute(\\n \\\"\\\"\\\"\\n SELECT p.name AS platform, p.platform_type, a.account_name, a.account_type, a.currency,\\n a.performance_included, a.is_active\\n FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id\\n ORDER BY p.name, a.account_name\\n \\\"\\\"\\\"\\n ).fetchall())\\n\\n\\ndef get_cash_overview(conn: Connection) -> list[dict[str, str]]:\\n result = calculate_cash_balances(conn)\\n rows: list[dict[str, str]] = []\\n for (account_id, currency), bal in sorted(result.balances.items()):\\n row = conn.execute(\\n \\\"SELECT a.account_name, p.name AS platform FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id WHERE a.account_id=?\\\",\\n (account_id,),\\n ).fetchone()\\n rows.append({\\n \\\"platform\\\": row[\\\"platform\\\"] if row else \\\"\\\",\\n \\\"account_name\\\": row[\\\"account_name\\\"] if row else account_id,\\n \\\"currency\\\": currency,\\n \\\"amount_original\\\": dec_text(bal.amount_original, \\\"0.01\\\"),\\n \\\"amount_chf\\\": dec_text(bal.amount_chf, \\\"0.01\\\") if bal.amount_chf is not None else \\\"\\\",\\n \\\"quality_status\\\": bal.quality_status,\\n })\\n return rows\\n\\n\\ndef get_positions(conn: Connection) -> list[dict[str, str]]:\\n result = calculate_positions(conn)\\n rows: list[dict[str, str]] = []\\n for (account_id, instrument_id), pos in sorted(result.positions.items()):\\n row = conn.execute(\\n \\\"\\\"\\\"\\n SELECT a.account_name, p.name AS platform, i.name, i.ticker, i.isin, i.asset_class, i.currency\\n FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id\\n JOIN instruments i ON i.instrument_id=? WHERE a.account_id=?\\n \\\"\\\"\\\",\\n (instrument_id, account_id),\\n ).fetchone()\\n rows.append({\\n \\\"platform\\\": row[\\\"platform\\\"] if row else \\\"\\\",\\n \\\"account_name\\\": row[\\\"account_name\\\"] if row else account_id,\\n \\\"asset_class\\\": row[\\\"asset_class\\\"] if row else \\\"\\\",\\n \\\"name\\\": row[\\\"name\\\"] if row else instrument_id,\\n \\\"ticker\\\": row[\\\"ticker\\\"] if row else \\\"\\\",\\n \\\"isin\\\": row[\\\"isin\\\"] if row else \\\"\\\",\\n \\\"quantity\\\": dec_text(pos.quantity),\\n \\\"cost_basis_chf\\\": dec_text(pos.cost_basis_chf, \\\"0.01\\\"),\\n \\\"market_value_chf\\\": dec_text(pos.market_value_chf, \\\"0.01\\\") if pos.market_value_chf is not None else \\\"\\\",\\n \\\"total_return_chf\\\": dec_text(pos.total_return_chf, \\\"0.01\\\") if pos.total_return_chf is not None else \\\"\\\",\\n \\\"data_quality_status\\\": pos.data_quality_status,\\n })\\n return rows\\n\\n\\ndef get_ledger_transactions(conn: Connection, limit: int = 200) -> list[dict[str, str]]:\\n return rowdicts(conn.execute(\\n \\\"\\\"\\\"\\n SELECT t.trade_date, p.name AS platform, a.account_name, t.transaction_type,\\n i.name AS instrument, i.ticker, t.quantity, t.gross_amount_original,\\n t.net_amount_original, t.currency_original, t.fx_status, t.quality_status,\\n t.source_type, t.source_id\\n FROM transactions t\\n LEFT JOIN accounts a ON a.account_id=t.account_id\\n LEFT JOIN platforms p ON p.platform_id=a.platform_id\\n LEFT JOIN instruments i ON i.instrument_id=t.instrument_id\\n ORDER BY t.trade_date DESC, t.created_at DESC LIMIT ?\\n \\\"\\\"\\\", (limit,)\\n ).fetchall())\\n\\n\\ndef get_watchlist(conn: Connection) -> list[dict[str, str]]:\\n return rowdicts(conn.execute(\\\"SELECT name, asset_class, reason, status, target_entry_price, target_entry_currency, investment_case, bear_case, next_review_date FROM watchlist ORDER BY name\\\").fetchall())\\n\\n\\ndef get_alerts(conn: Connection) -> list[dict[str, str]]:\\n return rowdicts(conn.execute(\\n \\\"\\\"\\\"\\n SELECT priority, status, category, entity_type, entity_id, rule_id, message,\\n occurrence_count, last_seen_at, resolved_at, muted_until, fingerprint, dedup_key, created_at\\n FROM alerts\\n ORDER BY CASE priority WHEN 'kritisch' THEN 0 WHEN 'warnung' THEN 1 ELSE 2 END, status, created_at DESC\\n \\\"\\\"\\\"\\n ).fetchall())\\n\\n\\ndef get_audit_events(conn: Connection, limit: int = 200) -> list[dict[str, str]]:\\n rows = conn.execute(\\n \\\"\\\"\\\"\\n SELECT timestamp, source, action, entity_type, entity_id, old_values_json, new_values_json,\\n confirmed, created_by, quality_status\\n FROM audit_log ORDER BY timestamp DESC LIMIT ?\\n \\\"\\\"\\\", (limit,)\\n ).fetchall()\\n out: list[dict[str, str]] = []\\n for row in rows:\\n item = {k: (\\\"\\\" if row[k] is None else str(row[k])) for k in row.keys()}\\n for key in (\\\"old_values_json\\\", \\\"new_values_json\\\"):\\n if item[key]:\\n try:\\n item[key] = json.dumps(json.loads(item[key]), ensure_ascii=False, indent=2, sort_keys=True)\\n except json.JSONDecodeError:\\n pass\\n out.append(item)\\n return out\\n\\n\\ndef get_data_quality(conn: Connection) -> list[dict[str, str]]:\\n items: list[dict[str, str]] = []\\n for row in conn.execute(\\\"SELECT COUNT(*) AS c FROM transactions WHERE fx_status='missing'\\\"):\\n items.append({\\\"check\\\": \\\"fehlende FX\\\", \\\"count\\\": str(row[\\\"c\\\"]), \\\"severity\\\": \\\"kritisch\\\" if row[\\\"c\\\"] else \\\"ok\\\"})\\n for row in conn.execute(\\\"SELECT COUNT(*) AS c FROM crypto_assets WHERE coingecko_id IS NULL OR coingecko_id='' \\\"):\\n items.append({\\\"check\\\": \\\"fehlende CoinGecko-ID\\\", \\\"count\\\": str(row[\\\"c\\\"]), \\\"severity\\\": \\\"warnung\\\" if row[\\\"c\\\"] else \\\"ok\\\"})\\n for row in conn.execute(\\\"SELECT COUNT(*) AS c FROM crypto_assets ca LEFT JOIN crypto_prices cp ON cp.asset_id=ca.asset_id WHERE cp.crypto_price_id IS NULL\\\"):\\n items.append({\\\"check\\\": \\\"fehlende Crypto-Preise\\\", \\\"count\\\": str(row[\\\"c\\\"]), \\\"severity\\\": \\\"warnung\\\" if row[\\\"c\\\"] else \\\"ok\\\"})\\n for row in conn.execute(\\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND priority='kritisch'\\\"):\\n items.append({\\\"check\\\": \\\"aktive kritische Alerts\\\", \\\"count\\\": str(row[\\\"c\\\"]), \\\"severity\\\": \\\"kritisch\\\" if row[\\\"c\\\"] else \\\"ok\\\"})\\n return items\\n\\n\\ndef get_command_center_summary(conn: Connection) -> dict[str, str]:\\n cash_rows = get_cash_overview(conn)\\n crypto_rows = get_crypto_overview(conn)\\n cash_total = sum(d(r[\\\"amount_chf\\\"]) for r in cash_rows if r[\\\"amount_chf\\\"])\\n crypto_total = sum(d(r[\\\"market_value_chf\\\"]) for r in crypto_rows if r[\\\"market_value_chf\\\"])\\n alert_counts = conn.execute(\\\"SELECT priority, COUNT(*) AS c FROM alerts WHERE status='active' GROUP BY priority\\\").fetchall()\\n quality = get_data_quality(conn)\\n return {\\n \\\"base_currency\\\": \\\"CHF\\\",\\n \\\"cash_total_chf\\\": dec_text(cash_total, \\\"0.01\\\"),\\n \\\"crypto_total_chf\\\": dec_text(crypto_total, \\\"0.01\\\"),\\n \\\"total_value_chf\\\": dec_text(cash_total + crypto_total, \\\"0.01\\\"),\\n \\\"active_alerts\\\": \\\", \\\".join(f\\\"{r['priority']}: {r['c']}\\\" for r in alert_counts) or \\\"0\\\",\\n \\\"data_quality_status\\\": \\\"kritisch\\\" if any(i[\\\"severity\\\"] == \\\"kritisch\\\" and i[\\\"count\\\"] != \\\"0\\\" for i in quality) else (\\\"warnung\\\" if any(i[\\\"severity\\\"] == \\\"warnung\\\" and i[\\\"count\\\"] != \\\"0\\\" for i in quality) else \\\"ok\\\"),\\n }\\n''')\\nprint('data written')\"}"
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"content": "{\"status\": \"success\", \"output\": \"data written\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 1.02}",
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"id": "call_K3LmtGu38Z4NqpiDDPHLAsRz",
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"arguments": "{\"code\":\"from hermes_tools import write_file\\nbase='/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard'\\nwrite_file(f'{base}/demo_data.py', r'''from __future__ import annotations\\n\\nfrom decimal import Decimal\\nfrom pathlib import Path\\nfrom sqlite3 import Connection\\n\\nfrom jarvis_finance.audit.log import record_audit_event\\nfrom jarvis_finance.imports.accounts_importer import import_accounts_csv\\nfrom jarvis_finance.imports.cash_balances_importer import import_cash_balances_csv\\nfrom jarvis_finance.imports.crypto_holdings_importer import import_crypto_holdings_csv\\nfrom jarvis_finance.imports.crypto_transactions_importer import import_crypto_transactions_csv\\nfrom jarvis_finance.imports.crypto_wallets_importer import import_crypto_wallets_csv\\nfrom jarvis_finance.imports.instruments_importer import import_instruments_csv\\nfrom jarvis_finance.imports.transactions_importer import import_transactions_csv\\nfrom jarvis_finance.imports.watchlist_importer import import_watchlist_csv\\nfrom jarvis_finance.imports.common import stable_id, utc_now\\nfrom jarvis_finance.market.providers import PriceQuote, store_crypto_price\\nfrom jarvis_finance.quality.alerts import create_alert\\nfrom jarvis_finance.storage.migrations import apply_migrations\\n\\nROOT = Path(__file__).resolve().parents[3]\\nDEFAULT_FIXTURES = ROOT / \\\"tests\\\" / \\\"fixtures\\\"\\n\\n\\ndef load_synthetic_demo_data(conn: Connection, fixtures_dir: Path | None = None) -> None:\\n \\\"\\\"\\\"Load deterministic synthetic fixtures into an existing SQLite connection.\\n\\n This function is explicit-only: dashboard pages never call it automatically.\\n It is safe for tests and local demo DB creation because it reads only tests/fixtures.\\n \\\"\\\"\\\"\\n apply_migrations(conn)\\n fixtures = fixtures_dir or DEFAULT_FIXTURES\\n import_accounts_csv(conn, fixtures / \\\"accounts.csv\\\", commit=True)\\n import_instruments_csv(conn, fixtures / \\\"instruments.csv\\\", commit=True)\\n import_transactions_csv(conn, fixtures / \\\"transactions.csv\\\", commit=True)\\n import_crypto_wallets_csv(conn, fixtures / \\\"crypto_wallets.csv\\\", commit=True)\\n import_crypto_holdings_csv(conn, fixtures / \\\"crypto_holdings_initial.csv\\\", commit=True)\\n import_crypto_transactions_csv(conn, fixtures / \\\"crypto_transactions.csv\\\", commit=True)\\n import_watchlist_csv(conn, fixtures / \\\"watchlist.csv\\\", commit=True)\\n import_cash_balances_csv(conn, fixtures / \\\"cash_balances_initial.csv\\\", commit=True)\\n _add_demo_prices(conn)\\n _add_demo_alerts_and_audit(conn)\\n conn.commit()\\n\\n\\ndef _add_demo_prices(conn: Connection) -> None:\\n prices = {\\\"demo-bitcoin\\\": Decimal(\\\"40000.00\\\"), \\\"demo-ether\\\": Decimal(\\\"2500.00\\\")}\\n for row in conn.execute(\\\"SELECT asset_id, coingecko_id FROM crypto_assets WHERE coingecko_id IS NOT NULL AND coingecko_id != ''\\\").fetchall():\\n price = prices.get(row[\\\"coingecko_id\\\"], Decimal(\\\"1.00\\\"))\\n existing = conn.execute(\\\"SELECT 1 FROM crypto_prices WHERE asset_id=? AND price_currency='CHF'\\\", (row[\\\"asset_id\\\"],)).fetchone()\\n if existing:\\n continue\\n store_crypto_price(conn, asset_id=row[\\\"asset_id\\\"], quote=PriceQuote(row[\\\"coingecko_id\\\"], \\\"CHF\\\", price, provider=\\\"synthetic-cache\\\", provider_timestamp=\\\"2026-02-01T00:00:00Z\\\"))\\n instrument = conn.execute(\\\"SELECT instrument_id FROM instruments ORDER BY name LIMIT 1\\\").fetchone()\\n if instrument and not conn.execute(\\\"SELECT 1 FROM market_prices WHERE instrument_id=?\\\", (instrument[\\\"instrument_id\\\"],)).fetchone():\\n now = utc_now()\\n conn.execute(\\n \\\"\\\"\\\"\\n INSERT INTO market_prices(market_price_id, instrument_id, price_date, close, currency, provider, quality_status, created_at)\\n VALUES (?, ?, '2026-02-01', '112.50', 'CHF', 'synthetic-cache', 'ok', ?)\\n \\\"\\\"\\\",\\n (stable_id(\\\"mprice\\\", instrument[\\\"instrument_id\\\"], \\\"2026-02-01\\\"), instrument[\\\"instrument_id\\\"], now),\\n )\\n\\n\\ndef _add_demo_alerts_and_audit(conn: Connection) -> None:\\n create_alert(\\n conn,\\n priority=\\\"warnung\\\",\\n category=\\\"market_data\\\",\\n entity_type=\\\"crypto_price\\\",\\n entity_id=\\\"synthetic-demo\\\",\\n rule_id=\\\"demo_stale_price\\\",\\n message=\\\"Synthetic demo alert: verify price freshness before using real data.\\\",\\n evidence={\\\"source\\\": \\\"synthetic\\\"},\\n fingerprint=\\\"synthetic-demo-stale-price\\\",\\n )\\n if not conn.execute(\\\"SELECT 1 FROM audit_log WHERE source='dashboard_demo'\\\").fetchone():\\n record_audit_event(\\n conn,\\n source=\\\"dashboard_demo\\\",\\n action=\\\"load_synthetic_demo_data\\\",\\n entity_type=\\\"demo_dataset\\\",\\n entity_id=\\\"synthetic-fixtures\\\",\\n new_values={\\\"fixtures\\\": \\\"tests/fixtures\\\", \\\"real_data\\\": False},\\n confirmed=True,\\n created_by=\\\"system\\\",\\n )\\n''')\\nprint('demo written')\"}"
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"content": "{\"status\": \"success\", \"output\": \"demo written\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 1.02}",
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"arguments": "{\"code\":\"from hermes_tools import write_file\\nbase='/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard'\\nwrite_file(f'{base}/components/tables.py', r'''from __future__ import annotations\\n\\n\\ndef show_table(st, rows: list[dict[str, str]], *, empty_message: str = \\\"Keine Daten vorhanden.\\\") -> None:\\n if rows:\\n st.dataframe(rows, use_container_width=True, hide_index=True)\\n else:\\n st.info(empty_message)\\n''')\\nwrite_file(f'{base}/components/warnings.py', r'''from __future__ import annotations\\n\\n\\ndef show_safety_banner(st) -> None:\\n st.warning(\\\"MVP Dashboard: nur lokale SQLite-Daten/Cache. Keine Live-API-Abfragen beim Seitenreload. Keine echten Finanzdaten importieren.\\\")\\n''')\\ncommon = r'''from __future__ import annotations\\n\\nfrom jarvis_finance.dashboard.components.tables import show_table\\nfrom jarvis_finance.dashboard import data\\n\\n'''\\npages = {\\n'page_00_command_center.py': common + r'''PAGE_TITLE = \\\"Command Center\\\"\\n\\ndef render(st, conn) -> None:\\n st.title(\\\"Command Center\\\")\\n summary = data.get_command_center_summary(conn)\\n c1, c2, c3, c4 = st.columns(4)\\n c1.metric(\\\"Gesamtwert\\\", data.money_text(data.d(summary[\\\"total_value_chf\\\"]), \\\"CHF\\\"))\\n c2.metric(\\\"Cash\\\", data.money_text(data.d(summary[\\\"cash_total_chf\\\"]), \\\"CHF\\\"))\\n c3.metric(\\\"Crypto\\\", data.money_text(data.d(summary[\\\"crypto_total_chf\\\"]), \\\"CHF\\\"))\\n c4.metric(\\\"Data Quality\\\", summary[\\\"data_quality_status\\\"])\\n st.subheader(\\\"Cash-Übersicht\\\")\\n show_table(st, data.get_cash_overview(conn))\\n st.subheader(\\\"Offene Alerts\\\")\\n show_table(st, [r for r in data.get_alerts(conn) if r[\\\"status\\\"] == \\\"active\\\"][:10])\\n st.subheader(\\\"Letzte Audit-Ereignisse\\\")\\n show_table(st, data.get_audit_events(conn, limit=10))\\n''',\\n'page_01_portfolio.py': common + r'''PAGE_TITLE = \\\"Portfolio\\\"\\n\\ndef render(st, conn) -> None:\\n st.title(\\\"Portfolio\\\")\\n st.caption(\\\"Synthetische Ledger-/Snapshot-Sicht. Keine Scheingenauigkeit bei fehlenden Preisen/FX.\\\")\\n st.subheader(\\\"Plattformen und Accounts\\\")\\n show_table(st, data.get_platform_overview(conn))\\n st.subheader(\\\"Cash-Balances\\\")\\n show_table(st, data.get_cash_overview(conn))\\n st.subheader(\\\"Positionen\\\")\\n show_table(st, data.get_positions(conn))\\n st.subheader(\\\"Data Quality\\\")\\n show_table(st, data.get_data_quality(conn))\\n''',\\n'page_02_platforms.py': common + r'''PAGE_TITLE = \\\"Platforms\\\"\\n\\ndef render(st, conn) -> None:\\n st.title(\\\"Platforms\\\")\\n show_table(st, data.get_platform_overview(conn))\\n''',\\n'page_03_equities_etfs.py': common + r'''PAGE_TITLE = \\\"Equities/ETFs\\\"\\n\\ndef render(st, conn) -> None:\\n st.title(\\\"Equities / ETFs\\\")\\n rows = [r for r in data.get_positions(conn) if r[\\\"asset_class\\\"].lower() in {\\\"stock\\\", \\\"equity\\\", \\\"etf\\\"}]\\n show_table(st, rows)\\n''',\\n'page_04_crypto.py': common + r'''PAGE_TITLE = \\\"Crypto\\\"\\n\\ndef render(st, conn) -> None:\\n st.title(\\\"Crypto\\\")\\n st.caption(\\\"Preise werden nur aus der lokalen DB/Cache gelesen; kein CoinGecko-Aufruf beim Rendern.\\\")\\n st.subheader(\\\"Coins aggregiert\\\")\\n show_table(st, data.get_crypto_overview(conn))\\n st.subheader(\\\"Coins nach Wallet\\\")\\n show_table(st, data.get_crypto_by_wallet(conn))\\n st.subheader(\\\"Wallet-Gesamtübersicht\\\")\\n show_table(st, data.get_wallets(conn))\\n st.subheader(\\\"Fehlende/veraltete Preis- und CoinGecko-Hinweise\\\")\\n quality_rows = [r for r in data.get_crypto_overview(conn) if not r[\\\"coingecko_id\\\"] or r[\\\"price_quality\\\"] != \\\"fresh\\\"]\\n show_table(st, quality_rows)\\n st.subheader(\\\"Letzte Crypto-Transaktionen\\\")\\n show_table(st, data.get_latest_crypto_transactions(conn))\\n''',\\n'page_05_wallets.py': common + r'''PAGE_TITLE = \\\"Wallets\\\"\\n\\ndef render(st, conn) -> None:\\n st.title(\\\"Wallets\\\")\\n st.subheader(\\\"Wallet-Tabelle\\\")\\n show_table(st, data.get_wallets(conn))\\n st.subheader(\\\"Synthetische Holdings je Wallet\\\")\\n show_table(st, data.get_crypto_by_wallet(conn))\\n''',\\n'page_06_ledger.py': common + r'''PAGE_TITLE = \\\"Ledger\\\"\\n\\ndef render(st, conn) -> None:\\n st.title(\\\"Ledger\\\")\\n st.caption(\\\"Lesende MVP-Transaktionstabelle mit Quality-/FX-Status.\\\")\\n show_table(st, data.get_ledger_transactions(conn))\\n''',\\n'page_07_watchlist.py': common + r'''PAGE_TITLE = \\\"Watchlist\\\"\\n\\ndef render(st, conn) -> None:\\n st.title(\\\"Watchlist\\\")\\n show_table(st, data.get_watchlist(conn))\\n''',\\n'page_08_reports.py': common + r'''PAGE_TITLE = \\\"Reports\\\"\\n\\ndef render(st, conn) -> None:\\n st.title(\\\"Reports\\\")\\n st.info(\\\"Report-Download und PDF-Erzeugung folgen später. Diese MVP-Seite ist bewusst read-only.\\\")\\n show_table(st, data.rowdicts(conn.execute(\\\"SELECT report_type, title, generated_at, data_quality_status FROM reports ORDER BY generated_at DESC\\\").fetchall()))\\n''',\\n'page_09_alerts.py': common + r'''PAGE_TITLE = \\\"Alerts\\\"\\n\\ndef render(st, conn) -> None:\\n st.title(\\\"Alerts\\\")\\n st.caption(\\\"Lifecycle sichtbar: active / resolved / muted. Aktionen bleiben im MVP zunächst kontrolliert/read-only.\\\")\\n show_table(st, data.get_alerts(conn))\\n''',\\n'page_10_audit.py': common + r'''PAGE_TITLE = \\\"Audit\\\"\\n\\ndef render(st, conn) -> None:\\n st.title(\\\"Audit-History\\\")\\n st.caption(\\\"Timeline aller Audit-Ereignisse. old_values/new_values werden als lesbares JSON angezeigt.\\\")\\n show_table(st, data.get_audit_events(conn))\\n''',\\n'page_11_settings_data_quality.py': common + r'''from pathlib import Path\\n\\nfrom jarvis_finance.config.settings import find_repo_root, load_settings\\n\\nPAGE_TITLE = \\\"Settings/Data Quality\\\"\\n\\ndef render(st, conn) -> None:\\n st.title(\\\"Settings / Data Quality\\\")\\n try:\\n settings = load_settings()\\n repo_root = find_repo_root()\\n runtime_ok = data.runtime_outside_repo(settings, repo_root)\\n rows = [\\n {\\\"setting\\\": \\\"Runtime-Pfad\\\", \\\"value\\\": str(settings.runtime_paths.base_dir)},\\n {\\\"setting\\\": \\\"DB-Pfad\\\", \\\"value\\\": str(settings.db_path)},\\n {\\\"setting\\\": \\\"Runtime ausserhalb Repo\\\", \\\"value\\\": str(runtime_ok)},\\n {\\\"setting\\\": \\\"Basiswährung\\\", \\\"value\\\": settings.base_currency},\\n ]\\n show_table(st, rows)\\n except Exception as exc:\\n st.error(f\\\"Settings-Fehler: {exc}\\\")\\n st.subheader(\\\"Data Quality\\\")\\n show_table(st, data.get_data_quality(conn))\\n'''\\n}\\nfor name, content in pages.items(): write_file(f'{base}/pages/{name}', content)\\nprint('pages written')\"}"
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"arguments": "{\"content\":\"from __future__ import annotations\\n\\nfrom pathlib import Path\\nfrom sqlite3 import Connection\\n\\nfrom jarvis_finance.config.settings import ensure_runtime_dirs, find_repo_root, load_settings\\nfrom jarvis_finance.dashboard.demo_data import load_synthetic_demo_data\\nfrom jarvis_finance.dashboard.pages import PAGES\\nfrom jarvis_finance.storage.database import connect\\nfrom jarvis_finance.storage.migrations import apply_migrations\\n\\n\\ndef safe_connect_existing_db(db_path: Path) -> Connection | None:\\n if not db_path.exists():\\n return None\\n conn = connect(db_path)\\n apply_migrations(conn)\\n return conn\\n\\n\\ndef create_demo_db(db_path: Path) -> None:\\n db_path.parent.mkdir(parents=True, exist_ok=True)\\n conn = connect(db_path)\\n try:\\n load_synthetic_demo_data(conn)\\n finally:\\n conn.close()\\n\\n\\ndef run_app() -> None:\\n import streamlit as st\\n\\n st.set_page_config(page_title=\\\"JARVIS Finance MVP\\\", layout=\\\"wide\\\")\\n st.sidebar.title(\\\"JARVIS Finance\\\")\\n st.sidebar.caption(\\\"MVP: lokal, synthetisch, read-first\\\")\\n\\n try:\\n repo_root = find_repo_root()\\n settings = load_settings(repo_root=repo_root)\\n except Exception as exc:\\n st.error(f\\\"Settings-/Runtime-Ladeprüfung fehlgeschlagen: {exc}\\\")\\n st.info(\\\"Prüfe JARVIS_FINANCE_RUNTIME_DIR. Runtime muss ausserhalb des Repos liegen.\\\")\\n return\\n\\n ensure_runtime_dirs(settings)\\n db_path = settings.db_path\\n conn = safe_connect_existing_db(db_path)\\n\\n if conn is None:\\n st.title(\\\"JARVIS Finance Dashboard\\\")\\n st.error(f\\\"Keine lokale SQLite-DB gefunden: {db_path}\\\")\\n st.info(\\\"Das Dashboard erstellt oder verändert keine echte Datenbank automatisch.\\\")\\n st.caption(\\\"Für lokale Entwicklung kann explizit eine synthetische Dummy-DB aus tests/fixtures geladen werden.\\\")\\n if st.button(\\\"Synthetische Dummy-DB jetzt erstellen\\\", type=\\\"primary\\\"):\\n create_demo_db(db_path)\\n st.success(\\\"Synthetische Dummy-DB erstellt. Bitte Seite neu laden.\\\")\\n return\\n\\n try:\\n page_names = [page.PAGE_TITLE for page in PAGES]\\n selected = st.sidebar.radio(\\\"Navigation\\\", page_names, index=0)\\n st.sidebar.write(f\\\"DB: `{db_path}`\\\")\\n st.sidebar.warning(\\\"Keine Live-API-Abfragen beim Seitenreload. Preise nur aus lokaler DB/Cache.\\\")\\n page = PAGES[page_names.index(selected)]\\n page.render(st, conn)\\n finally:\\n conn.close()\\n\\n\\nif __name__ == \\\"__main__\\\":\\n run_app()\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/main.py\"}"
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"content": "{\"output\": \"FFFF.. [100%]\\n=================================== FAILURES ===================================\\n_____________ test_dashboard_modules_import_and_page_render_smoke ______________\\n\\n def test_dashboard_modules_import_and_page_render_smoke() -> None:\\n conn = setup_demo_conn()\\n st = FakeStreamlit()\\n for module in [\\n page_00_command_center,\\n page_01_portfolio,\\n page_04_crypto,\\n page_05_wallets,\\n page_06_ledger,\\n page_09_alerts,\\n page_10_audit,\\n page_11_settings_data_quality,\\n ]:\\n> module.render(st, conn)\\n\\ntests/unit/test_dashboard_mvp.py:75: \\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\nsrc/jarvis_finance/dashboard/pages/page_00_command_center.py:10: in render\\n summary = data.get_command_center_summary(conn)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\nsrc/jarvis_finance/dashboard/data.py:275: in get_command_center_summary\\n \\\"crypto_total_chf\\\": dec_text(crypto_total, \\\"0.01\\\"),\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\n\\nvalue = 0, places = '0.01'\\n\\n def dec_text(value: Decimal | None, places: str | None = None) -> str:\\n if value is None:\\n return \\\"\\\"\\n if places:\\n> value = value.quantize(Decimal(places), rounding=ROUND_HALF_UP)\\n ^^^^^^^^^^^^^^\\nE AttributeError: 'int' object has no attribute 'quantize'\\n\\nsrc/jarvis_finance/dashboard/data.py:29: AttributeError\\n__________ test_dashboard_reader_functions_return_expected_dummy_data __________\\n\\n def test_dashboard_reader_functions_return_expected_dummy_data() -> None:\\n conn = setup_demo_conn()\\n> summary = dashboard_data.get_command_center_summary(conn)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\\ntests/unit/test_dashboard_mvp.py:81: \\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\nsrc/jarvis_finance/dashboard/data.py:275: in get_command_center_summary\\n \\\"crypto_total_chf\\\": dec_text(crypto_total, \\\"0.01\\\"),\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\n\\nvalue = 0, places = '0.01'\\n\\n def dec_text(value: Decimal | None, places: str | None = None) -> str:\\n if value is None:\\n return \\\"\\\"\\n if places:\\n> value = value.quantize(Decimal(places), rounding=ROUND_HALF_UP)\\n ^^^^^^^^^^^^^^\\nE AttributeError: 'int' object has no attribute 'quantize'\\n\\nsrc/jarvis_finance/dashboard/data.py:29: AttributeError\\n________ test_crypto_dashboard_reads_cached_db_prices_without_api_calls ________\\n\\nmonkeypatch = <_pytest.monkeypatch.MonkeyPatch object at 0x76d44d6f1ed0>\\n\\n def test_crypto_dashboard_reads_cached_db_prices_without_api_calls(monkeypatch: pytest.MonkeyPatch) -> None:\\n def explode(*args, **kwargs):\\n raise AssertionError(\\\"dashboard must not call CoinGecko/API provider on render\\\")\\n \\n monkeypatch.setattr(\\\"jarvis_finance.market.providers.CoinGeckoClient.get_crypto_price\\\", explode)\\n conn = setup_demo_conn()\\n st = FakeStreamlit()\\n page_04_crypto.render(st, conn)\\n rows = dashboard_data.get_crypto_overview(conn)\\n> assert rows\\nE assert []\\n\\ntests/unit/test_dashboard_mvp.py:99: AssertionError\\n___________ test_dashboard_preserves_decimal_crypto_quantity_format ____________\\n\\n def test_dashboard_preserves_decimal_crypto_quantity_format() -> None:\\n conn = setup_demo_conn()\\n wallet_rows = dashboard_data.get_crypto_by_wallet(conn)\\n quantities = {row[\\\"quantity\\\"] for row in wallet_rows}\\n> assert \\\"0.0999\\\" in quantities or \\\"0.1000\\\" in quantities or \\\"0.10\\\" in quantities\\nE AssertionError: assert ('0.0999' in set() or '0.1000' in set() or '0.10' in set())\\n\\ntests/unit/test_dashboard_mvp.py:107: AssertionError\\n=========================== short test summary info ============================\\nFAILED tests/unit/test_dashboard_mvp.py::test_dashboard_modules_import_and_page_render_smoke\\nFAILED tests/unit/test_dashboard_mvp.py::test_dashboard_reader_functions_return_expected_dummy_data\\nFAILED tests/unit/test_dashboard_mvp.py::test_crypto_dashboard_reads_cached_db_prices_without_api_calls\\nFAILED tests/unit/test_dashboard_mvp.py::test_dashboard_preserves_decimal_crypto_quantity_format\\n4 failed, 2 passed in 0.14s\", \"exit_code\": 1, \"error\": null}",
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{
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"reasoning": "**Assessing crypto holdings import**\n\nI think I need to investigate why the crypto holdings import might have failed. It looks like there could be issues with the wallet type being invalid or perhaps the import process didn't work due to headers. I should check the results quickly to see what's going on. It might also be necessary to ensure that the decimal text can handle integers properly. Let's figure this out!",
"finish_reason": "tool_calls",
"reasoning_content": "**Assessing crypto holdings import**\n\nI think I need to investigate why the crypto holdings import might have failed. It looks like there could be issues with the wallet type being invalid or perhaps the import process didn't work due to headers. I should check the results quickly to see what's going on. It might also be necessary to ensure that the decimal text can handle integers properly. Let's figure this out!",
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"summary": [
{
"type": "summary_text",
"text": "**Assessing crypto holdings import**\n\nI think I need to investigate why the crypto holdings import might have failed. It looks like there could be issues with the wallet type being invalid or perhaps the import process didn't work due to headers. I should check the results quickly to see what's going on. It might also be necessary to ensure that the decimal text can handle integers properly. Let's figure this out!"
}
]
}
],
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"arguments": "{\"command\":\"PYTHONPATH=src python - <<'PY'\\nfrom jarvis_finance.storage.database import connect_memory\\nfrom jarvis_finance.storage.migrations import apply_migrations\\nfrom jarvis_finance.dashboard.demo_data import load_synthetic_demo_data\\nc=connect_memory(); apply_migrations(c); load_synthetic_demo_data(c)\\nfor t in ['crypto_wallets','crypto_assets','crypto_holdings','crypto_transactions','import_sessions']:\\n print(t, c.execute(f'select count(*) c from {t}').fetchone()['c'])\\nfor r in c.execute('select import_type,status,rows_failed,errors_json from import_sessions'):\\n print(dict(r))\\nPY\",\"timeout\":60,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
}
}
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},
{
"role": "tool",
"name": "terminal",
"content": "{\"output\": \"crypto_wallets 3\\ncrypto_assets 0\\ncrypto_holdings 0\\ncrypto_transactions 0\\nimport_sessions 8\\n{'import_type': 'accounts', 'status': 'committed', 'rows_failed': 0, 'errors_json': '[]'}\\n{'import_type': 'instruments', 'status': 'committed', 'rows_failed': 0, 'errors_json': '[]'}\\n{'import_type': 'transactions', 'status': 'committed', 'rows_failed': 0, 'errors_json': '[]'}\\n{'import_type': 'crypto_wallets', 'status': 'committed', 'rows_failed': 0, 'errors_json': '[]'}\\n{'import_type': 'crypto_holdings', 'status': 'failed', 'rows_failed': 1, 'errors_json': '[\\\"Missing columns: [\\\\'verification_status\\\\']\\\"]'}\\n{'import_type': 'crypto_transactions', 'status': 'failed', 'rows_failed': 1, 'errors_json': '[\\\"Missing columns: [\\\\'asset_symbol\\\\']\\\"]'}\\n{'import_type': 'watchlist', 'status': 'failed', 'rows_failed': 1, 'errors_json': '[\\\"line 2: invalid asset_class\\\"]'}\\n{'import_type': 'cash_balances', 'status': 'committed', 'rows_failed': 0, 'errors_json': '[]'}\", \"exit_code\": 0, \"error\": null}",
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{
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"content": "",
"reasoning": null,
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"content": "{\"content\": \" 1|from __future__ import annotations\\n 2|from decimal import Decimal, InvalidOperation\\n 3|from pathlib import Path\\n 4|from sqlite3 import Connection\\n 5|from .common import ImportResult, clean, create_import_session, require_text, source_hash, stable_id, utc_now\\n 6|from .dry_run import read_csv_rows\\n 7|from .row_hash import compute_row_hash\\n 8|REQUIRED_COLUMNS={\\\"name\\\",\\\"asset_class\\\",\\\"reason\\\",\\\"status\\\"}; VALID_STATUS={'active','paused','rejected','closed'}; VALID_CLASS={'Stock','ETF','Crypto','Cash','Bond','Commodity','Other'}\\n 9|def dec(v):\\n 10| t=clean(v)\\n 11| if not t: return None\\n 12| return Decimal(t)\\n 13|def import_watchlist_csv(conn:Connection,path:str|Path,*,commit:bool,source_filename:str|None=None)->ImportResult:\\n 14| rows,errors=read_csv_rows(path,REQUIRED_COLUMNS); source_filename=source_filename or Path(path).name\\n 15| new=existing=0; vals=[]; seen=set()\\n 16| for line,row in enumerate(rows,start=2):\\n 17| try:\\n 18| rh=compute_row_hash(row)\\n 19| if rh in seen: raise ValueError(f\\\"line {line}: duplicate row hash in source file\\\")\\n 20| seen.add(rh); name=require_text(row,'name',line); ac=require_text(row,'asset_class',line); reason=require_text(row,'reason',line); status=require_text(row,'status',line).lower()\\n 21| if ac not in VALID_CLASS: raise ValueError(f\\\"line {line}: invalid asset_class\\\")\\n 22| if status not in VALID_STATUS: raise ValueError(f\\\"line {line}: invalid status\\\")\\n 23| wid=stable_id('watch',name,ac); exists=conn.execute('SELECT 1 FROM watchlist WHERE watchlist_id=?',(wid,)).fetchone() is not None\\n 24| existing += 1 if exists else 0; new += 0 if exists else 1\\n 25| vals.append((wid,name,ac,reason,status,dec(row.get('target_entry_price')),clean(row.get('target_entry_currency')) or None,clean(row.get('investment_case')),clean(row.get('bear_case'))))\\n 26| except (ValueError,InvalidOperation) as exc: errors.append(str(exc))\\n 27| status_txt='failed' if errors else ('committed' if commit else 'dry_run_ok')\\n 28| if commit and not errors:\\n 29| now=utc_now()\\n 30| for v in vals:\\n 31| conn.execute('INSERT OR IGNORE INTO watchlist(watchlist_id,name,asset_class,reason,status,target_entry_price,target_entry_currency,investment_case,bear_case,created_at) VALUES(?,?,?,?,?,?,?,?,?,?)',(v[0],v[1],v[2],v[3],v[4],str(v[5]) if v[5] is not None else None,v[6],v[7],v[8],now))\\n 32| sid=create_import_session(conn,import_type='watchlist',source_filename=source_filename,file_hash=source_hash(path),status=status_txt,rows_total=len(rows),rows_imported=new if commit and not errors else 0,rows_failed=len(errors),errors=errors,notes='dry run' if not commit else None)\\n 33| return ImportResult(sid,'watchlist',status_txt,len(rows),new if not errors else 0,existing,len(errors),errors)\\n 34|\", \"total_lines\": 33, \"file_size\": 2746, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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"reasoning": "**Creating a demo for crypto**\n\nI need to create a patch for demo_data that's directly linked to crypto. I also want to consider adding a watchlist fallback to enhance functionality. There’s something about needing to dec_text as well, but I’m not entirely sure how all the components connect. Putting this together might require some careful thought and testing to ensure everything works smoothly. It’s all about getting it right for the user!",
"finish_reason": "tool_calls",
"reasoning_content": "**Creating a demo for crypto**\n\nI need to create a patch for demo_data that's directly linked to crypto. I also want to consider adding a watchlist fallback to enhance functionality. There’s something about needing to dec_text as well, but I’m not entirely sure how all the components connect. Putting this together might require some careful thought and testing to ensure everything works smoothly. It’s all about getting it right for the user!",
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"content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py\\n@@ -22,9 +22,10 @@\\n return Decimal(default)\\n \\n \\n-def dec_text(value: Decimal | None, places: str | None = None) -> str:\\n+def dec_text(value: Decimal | int | str | None, places: str | None = None) -> str:\\n if value is None:\\n return \\\"\\\"\\n+ value = d(value)\\n if places:\\n value = value.quantize(Decimal(places), rounding=ROUND_HALF_UP)\\n return format(value, \\\"f\\\")\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
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"arguments": "{\"code\":\"from pathlib import Path\\np=Path('/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/demo_data.py')\\ns=p.read_text()\\ns=s.replace('from jarvis_finance.imports.common import stable_id, utc_now\\\\n', 'from jarvis_finance.imports.common import stable_id, utc_now\\\\nfrom jarvis_finance.crypto.assets import create_crypto_asset\\\\nfrom jarvis_finance.crypto.holdings import create_initial_holding_snapshot\\\\nfrom jarvis_finance.crypto.transactions import record_crypto_transfer\\\\n')\\ns=s.replace(' import_crypto_holdings_csv(conn, fixtures / \\\"crypto_holdings_initial.csv\\\", commit=True)\\\\n import_crypto_transactions_csv(conn, fixtures / \\\"crypto_transactions.csv\\\", commit=True)\\\\n import_watchlist_csv(conn, fixtures / \\\"watchlist.csv\\\", commit=True)\\\\n', ' # Current canonical crypto importers are intentionally stricter than early fixtures.\\\\n # Seed the local demo DB via domain APIs to keep this explicit and synthetic.\\\\n _add_demo_crypto(conn)\\\\n _add_demo_watchlist(conn)\\\\n')\\ns=s.replace(' _add_demo_prices(conn)\\\\n _add_demo_alerts_and_audit(conn)\\\\n', ' _add_demo_prices(conn)\\\\n _add_demo_alerts_and_audit(conn)\\\\n')\\ninsert = r'''\\n\\ndef _add_demo_crypto(conn: Connection) -> None:\\n btc = create_crypto_asset(conn, coin_name=\\\"Demo Bitcoin\\\", symbol=\\\"DBTC\\\", coingecko_id=\\\"demo-bitcoin\\\")\\n eth = create_crypto_asset(conn, coin_name=\\\"Demo Ether\\\", symbol=\\\"DETH\\\", coingecko_id=\\\"demo-ether\\\")\\n ledger = conn.execute(\\\"SELECT wallet_id FROM crypto_wallets WHERE wallet_name='Ledger Demo'\\\").fetchone()\\n kraken = conn.execute(\\\"SELECT wallet_id FROM crypto_wallets WHERE wallet_name='Kraken Demo'\\\").fetchone()\\n if ledger and not conn.execute(\\\"SELECT 1 FROM crypto_holdings WHERE wallet_id=? AND asset_id=?\\\", (ledger[\\\"wallet_id\\\"], btc)).fetchone():\\n create_initial_holding_snapshot(conn, asset_id=btc, wallet_id=ledger[\\\"wallet_id\\\"], quantity=Decimal(\\\"0.10\\\"), verification_status=\\\"verified\\\", last_verified_at=\\\"2026-01-31T12:00:00Z\\\", notes=\\\"Synthetischer Bestand\\\")\\n if kraken and not conn.execute(\\\"SELECT 1 FROM crypto_holdings WHERE wallet_id=? AND asset_id=?\\\", (kraken[\\\"wallet_id\\\"], eth)).fetchone():\\n create_initial_holding_snapshot(conn, asset_id=eth, wallet_id=kraken[\\\"wallet_id\\\"], quantity=Decimal(\\\"1.50\\\"), verification_status=\\\"verified\\\", last_verified_at=\\\"2026-01-31T12:00:00Z\\\", notes=\\\"Synthetischer Bestand\\\")\\n if ledger and kraken and not conn.execute(\\\"SELECT 1 FROM crypto_transactions WHERE tx_hash='synthetic_demo_hash_001'\\\").fetchone():\\n record_crypto_transfer(conn, asset_id=btc, from_wallet_id=ledger[\\\"wallet_id\\\"], to_wallet_id=kraken[\\\"wallet_id\\\"], quantity=Decimal(\\\"0.01\\\"), fee_quantity=Decimal(\\\"0.0001\\\"), tx_hash=\\\"synthetic_demo_hash_001\\\", notes=\\\"Synthetischer Transfer\\\")\\n\\n\\ndef _add_demo_watchlist(conn: Connection) -> None:\\n if conn.execute(\\\"SELECT 1 FROM watchlist WHERE name='Demo World ETF'\\\").fetchone():\\n return\\n now = utc_now()\\n conn.execute(\\n \\\"\\\"\\\"\\n INSERT INTO watchlist(watchlist_id, name, asset_class, reason, status, target_entry_price,\\n target_entry_currency, investment_case, bear_case, created_at)\\n VALUES (?, 'Demo World ETF', 'ETF', 'Core-Kandidat', 'active', '100', 'CHF',\\n 'Synthetischer Case', 'Synthetischer Bear Case', ?)\\n \\\"\\\"\\\",\\n (stable_id(\\\"watch\\\", \\\"Demo World ETF\\\", \\\"ETF\\\"), now),\\n )\\n'''\\ns=s.replace('\\\\n\\\\ndef _add_demo_prices', insert+'\\\\n\\\\ndef _add_demo_prices')\\np.write_text(s)\\nprint('patched demo_data')\"}"
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[100%]\\n=================================== FAILURES ===================================\\n_____________ test_dashboard_modules_import_and_page_render_smoke ______________\\n\\n def test_dashboard_modules_import_and_page_render_smoke() -> None:\\n> conn = setup_demo_conn()\\n ^^^^^^^^^^^^^^^^^\\n\\ntests/unit/test_dashboard_mvp.py:63: \\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\ntests/unit/test_dashboard_mvp.py:58: in setup_demo_conn\\n load_synthetic_demo_data(conn)\\nsrc/jarvis_finance/dashboard/demo_data.py:42: in load_synthetic_demo_data\\n _add_demo_crypto(conn)\\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\n\\nconn = \\n\\n def _add_demo_crypto(conn: Connection) -> None:\\n btc = create_crypto_asset(conn, coin_name=\\\"Demo Bitcoin\\\", symbol=\\\"DBTC\\\", coingecko_id=\\\"demo-bitcoin\\\")\\n eth = create_crypto_asset(conn, coin_name=\\\"Demo Ether\\\", symbol=\\\"DETH\\\", coingecko_id=\\\"demo-ether\\\")\\n ledger = conn.execute(\\\"SELECT wallet_id FROM crypto_wallets WHERE wallet_name='Ledger Demo'\\\").fetchone()\\n kraken = conn.execute(\\\"SELECT wallet_id FROM crypto_wallets WHERE wallet_name='Kraken Demo'\\\").fetchone()\\n if ledger and not conn.execute(\\\"SELECT 1 FROM crypto_holdings WHERE wallet_id=? AND asset_id=?\\\", (ledger[\\\"wallet_id\\\"], btc)).fetchone():\\n> create_initial_holding_snapshot(conn, asset_id=btc, wallet_id=ledger[\\\"wallet_id\\\"], quantity=Decimal(\\\"0.10\\\"), verification_status=\\\"verified\\\", last_verified_at=\\\"2026-01-31T12:00:00Z\\\", notes=\\\"Synthetischer Bestand\\\")\\nE TypeError: create_initial_holding_snapshot() got an unexpected keyword argument 'notes'\\n\\nsrc/jarvis_finance/dashboard/demo_data.py:56: TypeError\\n__________ test_dashboard_reader_functions_return_expected_dummy_data __________\\n\\n def test_dashboard_reader_functions_return_expected_dummy_data() -> None:\\n> conn = setup_demo_conn()\\n ^^^^^^^^^^^^^^^^^\\n\\ntests/unit/test_dashboard_mvp.py:80: \\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\ntests/unit/test_dashboard_mvp.py:58: in setup_demo_conn\\n load_synthetic_demo_data(conn)\\nsrc/jarvis_finance/dashboard/demo_data.py:42: in load_synthetic_demo_data\\n _add_demo_crypto(conn)\\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\n\\nconn = \\n\\n def _add_demo_crypto(conn: Connection) -> None:\\n btc = create_crypto_asset(conn, coin_name=\\\"Demo Bitcoin\\\", symbol=\\\"DBTC\\\", coingecko_id=\\\"demo-bitcoin\\\")\\n eth = create_crypto_asset(conn, coin_name=\\\"Demo Ether\\\", symbol=\\\"DETH\\\", coingecko_id=\\\"demo-ether\\\")\\n ledger = conn.execute(\\\"SELECT wallet_id FROM crypto_wallets WHERE wallet_name='Ledger Demo'\\\").fetchone()\\n kraken = conn.execute(\\\"SELECT wallet_id FROM crypto_wallets WHERE wallet_name='Kraken Demo'\\\").fetchone()\\n if ledger and not conn.execute(\\\"SELECT 1 FROM crypto_holdings WHERE wallet_id=? AND asset_id=?\\\", (ledger[\\\"wallet_id\\\"], btc)).fetchone():\\n> create_initial_holding_snapshot(conn, asset_id=btc, wallet_id=ledger[\\\"wallet_id\\\"], quantity=Decimal(\\\"0.10\\\"), verification_status=\\\"verified\\\", last_verified_at=\\\"2026-01-31T12:00:00Z\\\", notes=\\\"Synthetischer Bestand\\\")\\nE TypeError: create_initial_holding_snapshot() got an unexpected keyword argument 'notes'\\n\\nsrc/jarvis_finance/dashboard/demo_data.py:56: TypeError\\n________ test_crypto_dashboard_reads_cached_db_prices_without_api_calls ________\\n\\nmonkeypatch = <_pytest.monkeypatch.MonkeyPatch object at 0x7df03ef73410>\\n\\n def test_crypto_dashboard_reads_cached_db_prices_without_api_calls(monkeypatch: pytest.MonkeyPatch) -> None:\\n def explode(*args, **kwargs):\\n raise AssertionError(\\\"dashboard must not call CoinGecko/API provider on render\\\")\\n \\n monkeypatch.setattr(\\\"jarvis_finance.market.providers.CoinGeckoClient.get_crypto_price\\\", explode)\\n> conn = setup_demo_conn()\\n ^^^^^^^^^^^^^^^^^\\n\\ntests/unit/test_dashboard_mvp.py:95: \\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\ntests/unit/test_dashboard_mvp.py:58: in setup_demo_conn\\n load_synthetic_demo_data(conn)\\nsrc/jarvis_finance/dashboard/demo_data.py:42: in load_synthetic_demo_data\\n _add_demo_crypto(conn)\\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\n\\nconn = \\n\\n def _add_demo_crypto(conn: Connection) -> None:\\n btc = create_crypto_asset(conn, coin_name=\\\"Demo Bitcoin\\\", symbol=\\\"DBTC\\\", coingecko_id=\\\"demo-bitcoin\\\")\\n eth = create_crypto_asset(conn, coin_name=\\\"Demo Ether\\\", symbol=\\\"DETH\\\", coingecko_id=\\\"demo-ether\\\")\\n ledger = conn.execute(\\\"SELECT wallet_id FROM crypto_wallets WHERE wallet_name='Ledger Demo'\\\").fetchone()\\n kraken = conn.execute(\\\"SELECT wallet_id FROM crypto_wallets WHERE wallet_name='Kraken Demo'\\\").fetchone()\\n if ledger and not conn.execute(\\\"SELECT 1 FROM crypto_holdings WHERE wallet_id=? AND asset_id=?\\\", (ledger[\\\"wallet_id\\\"], btc)).fetchone():\\n> create_initial_holding_snapshot(conn, asset_id=btc, wallet_id=ledger[\\\"wallet_id\\\"], quantity=Decimal(\\\"0.10\\\"), verification_status=\\\"verified\\\", last_verified_at=\\\"2026-01-31T12:00:00Z\\\", notes=\\\"Synthetischer Bestand\\\")\\nE TypeError: create_initial_holding_snapshot() got an unexpected keyword argument 'notes'\\n\\nsrc/jarvis_finance/dashboard/demo_data.py:56: TypeError\\n___________ test_dashboard_preserves_decimal_crypto_quantity_format ____________\\n\\n def test_dashboard_preserves_decimal_crypto_quantity_format() -> None:\\n> conn = setup_demo_conn()\\n ^^^^^^^^^^^^^^^^^\\n\\ntests/unit/test_dashboard_mvp.py:104: \\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\ntests/unit/test_dashboard_mvp.py:58: in setup_demo_conn\\n load_synthetic_demo_data(conn)\\nsrc/jarvis_finance/dashboard/demo_data.py:42: in load_synthetic_demo_data\\n _add_demo_crypto(conn)\\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\n\\nconn = \\n\\n def _add_demo_crypto(conn: Connection) -> None:\\n btc = create_crypto_asset(conn, coin_name=\\\"Demo Bitcoin\\\", symbol=\\\"DBTC\\\", coingecko_id=\\\"demo-bitcoin\\\")\\n eth = create_crypto_asset(conn, coin_name=\\\"Demo Ether\\\", symbol=\\\"DETH\\\", coingecko_id=\\\"demo-ether\\\")\\n ledger = conn.execute(\\\"SELECT wallet_id FROM crypto_wallets WHERE wallet_name='Ledger Demo'\\\").fetchone()\\n kraken = conn.execute(\\\"SELECT wallet_id FROM crypto_wallets WHERE wallet_name='Kraken Demo'\\\").fetchone()\\n if ledger and not conn.execute(\\\"SELECT 1 FROM crypto_holdings WHERE wallet_id=? AND asset_id=?\\\", (ledger[\\\"wallet_id\\\"], btc)).fetchone():\\n> create_initial_holding_snapshot(conn, asset_id=btc, wallet_id=ledger[\\\"wallet_id\\\"], quantity=Decimal(\\\"0.10\\\"), verification_status=\\\"verified\\\", last_verified_at=\\\"2026-01-31T12:00:00Z\\\", notes=\\\"Synthetischer Bestand\\\")\\nE TypeError: create_initial_holding_snapshot() got an unexpected keyword argument 'notes'\\n\\nsrc/jarvis_finance/dashboard/demo_data.py:56: TypeError\\n__________________ test_alert_lifecycle_data_loaded_readably ___________________\\n\\n def test_alert_lifecycle_data_loaded_readably() -> None:\\n> conn = setup_demo_conn()\\n ^^^^^^^^^^^^^^^^^\\n\\ntests/unit/test_dashboard_mvp.py:113: \\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\ntests/unit/test_dashboard_mvp.py:58: in setup_demo_conn\\n load_synthetic_demo_data(conn)\\nsrc/jarvis_finance/dashboard/demo_data.py:42: in load_synthetic_demo_data\\n _add_demo_crypto(conn)\\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\n\\nconn = \\n\\n def _add_demo_crypto(conn: Connection) -> None:\\n btc = create_crypto_asset(conn, coin_name=\\\"Demo Bitcoin\\\", symbol=\\\"DBTC\\\", coingecko_id=\\\"demo-bitcoin\\\")\\n eth = create_crypto_asset(conn, coin_name=\\\"Demo Ether\\\", symbol=\\\"DETH\\\", coingecko_id=\\\"demo-ether\\\")\\n ledger = conn.execute(\\\"SELECT wallet_id FROM crypto_wallets WHERE wallet_name='Ledger Demo'\\\").fetchone()\\n kraken = conn.execute(\\\"SELECT wallet_id FROM crypto_wallets WHERE wallet_name='Kraken Demo'\\\").fetchone()\\n if ledger and not conn.execute(\\\"SELECT 1 FROM crypto_holdings WHERE wallet_id=? AND asset_id=?\\\", (ledger[\\\"wallet_id\\\"], btc)).fetchone():\\n> create_initial_holding_snapshot(conn, asset_id=btc, wallet_id=ledger[\\\"wallet_id\\\"], quantity=Decimal(\\\"0.10\\\"), verification_status=\\\"verified\\\", last_verified_at=\\\"2026-01-31T12:00:00Z\\\", notes=\\\"Synthetischer Bestand\\\")\\nE TypeError: create_initial_holding_snapshot() got an unexpected keyword argument 'notes'\\n\\nsrc/jarvis_finance/dashboard/demo_data.py:56: TypeError\\n=========================== short test summary info ============================\\nFAILED tests/unit/test_dashboard_mvp.py::test_dashboard_modules_import_and_page_render_smoke\\nFAILED tests/unit/test_dashboard_mvp.py::test_dashboard_reader_functions_return_expected_dummy_data\\nFAILED tests/unit/test_dashboard_mvp.py::test_crypto_dashboard_reads_cached_db_prices_without_api_calls\\nFAILED tests/unit/test_dashboard_mvp.py::test_dashboard_preserves_decimal_crypto_quantity_format\\nFAILED tests/unit/test_dashboard_mvp.py::test_alert_lifecycle_data_loaded_readably\\n5 failed, 1 passed in 0.11s\", \"exit_code\": 1, \"error\": null}",
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"content": "{\"success\": true, \"name\": \"finance-system-architecture\", \"description\": \"Design/implement the user's JARVIS Finance System: CHF ledger, portfolio accounting, dashboard, imports, reports, secrecy.\", \"tags\": [\"finance\", \"portfolio\", \"accounting\", \"dashboard\", \"csv\", \"fx\", \"tax\", \"privacy\"], \"related_skills\": [], \"content\": \"---\\nname: finance-system-architecture\\ndescription: \\\"Design/implement the user's JARVIS Finance System: CHF ledger, portfolio accounting, dashboard, imports, reports, secrecy.\\\"\\nversion: 1.0.0\\nauthor: Hermes Agent\\nlicense: MIT\\nmetadata:\\n hermes:\\n tags: [finance, portfolio, accounting, dashboard, csv, fx, tax, privacy]\\n---\\n\\n# Finance System Architecture\\n\\n## When to use\\n\\nUse this skill whenever the user asks about the **Finance System – Architektur & Scripts** topic or work involving the user's personal finance-management system: portfolio imports, transaction accounting, Bank/Broker/CSV processing, dashboards, reports, tax/income views, FX logic, market data jobs, alerts, or later implementation.\\n\\nDo **not** use it for pure investment-strategy discussion; those belong in the separate finance strategy topic unless the user explicitly asks for technical implementation.\\n\\n## Core principles\\n\\n1. **No automated trading.** The system may prepare orders and recommendations, but never executes orders or connects to broker trading APIs for execution.\\n2. **Accounting first, opinions later.** MVP must prioritize correct transaction ledger, cash ledger, FX handling, income/tax data, and dashboard before complex scores, news, analyst ratings, or LLM analysis.\\n3. **Rule-based first.** Calculations, scores, alerts, rebalancing and reports must be deterministic and auditable. LLMs may only summarize/explain text or assist extraction with human review.\\n4. **CHF as base currency.** Store every transaction in original currency and CHF using historical FX at transaction/payment date; current valuations use current FX.\\n5. **Financial data secrecy.** Never expose real financial values, portfolio files, raw exports, reports with real numbers, DBs, API keys, or credentials in chat, GitHub, logs, or shared docs unless the user explicitly approves scope.\\n6. **Data ownership.** All data must be exportable: CSV, JSON, Parquet, SQLite/Postgres dump, Markdown/HTML/PDF reports.\\n\\n## Current v0.3 decisions\\n\\nSee `references/spec-v0.2-decisions.md` for the baseline, `references/spec-v0.3-decisions.md` for the priority update, `references/spec-v0.4-implementation-blueprint.md` for the MVP 1 technical implementation blueprint, `references/spec-v0.4.1-corrections.md` for accepted corrections, `references/spec-v0.5-repo-blueprint.md` for the concrete repo/implementation plan, `references/mvp-safety-gate-implementation.md` for the implementation safety-gate sequence and verification commands, `references/mvp-import-pipeline-tasks-9-13.md` for the synthetic CSV import/FX/transaction pipeline pattern, `references/mvp-ledger-cash-wac-positions.md` for cash/WAC/position ledger calculation rules and tests, `references/mvp-crypto-wallet-ledger.md` for crypto wallet/assets/holdings/transfers/buy-sell/fee MVP rules, `references/mvp-market-import-safety-hardening.md` for CoinGecko provider/backoff, CSV importer completion, alert lifecycle, Git-safety and crypto Decimal precision patterns, and `references/git-safety-verification-coverage.md` for the verifier-warning workflow and minimum Git-safety test matrix. Key decisions:\\n\\n- Platform/account views: Raiffeisen, PostFinance, True Wealth, Crypto-Coins, plus Gesamtansicht.\\n- Existing Google Drive files under `Finanzen/01 Aktueller Stand Portfolios` are **initial-snapshot reality checks**, not full ledgers.\\n- MVP means the smallest useful first version: correct data foundation, ledger, CHF/FX logic, platform views, crypto inventory, watchlist, reports, workflows and audit log.\\n- Stock/ETF tax documents are downgraded: optional reference/control module and dividend/distribution transparency, not MVP 1 and not a complete tax dossier replacement.\\n- Crypto inventory is promoted to MVP 1: wallet/platform-level holdings, Crypto PDF, CoinGecko valuation, stale-price warnings and manual verification.\\n- Crypto snapshot values are stale; use quantities only and recalculate current values via CoinGecko later.\\n- MVP dashboard recommendation: Streamlit + SQLite + SQLAlchemy/Pandas/Plotly; later migrateable to FastAPI + React/PostgreSQL.\\n- MVP inputs: manual dashboard entry, standard CSV import/export, later broker/bank export import. No direct broker integrations initially.\\n- Telegram crypto buys/sells/transfers should be parsed as pending transactions and only saved after explicit confirmation.\\n- Every portfolio or crypto change must create a History/Audit entry.\\n\\n## Required data model areas\\n\\nAt minimum design for:\\n\\n- `platforms`, `accounts`, `instruments`\\n- `transactions` with original currency and CHF fields\\n- `cash_ledger`\\n- derived `positions_current`\\n- `dividends_distributions`\\n- `market_prices`, `fx_rates`\\n- `watchlist_items`\\n- `alerts`\\n- `decision_journal`\\n- `reports`\\n- `data_quality_issues`\\n\\n## CSV/import rules\\n\\n- Use a canonical CSV format before broker-specific importers.\\n- Imports must be idempotent via external transaction ID or row hash.\\n- Importers must separate dry-run and commit modes, collect validation errors explicitly, and always create an `import_sessions` record even for dry runs or failed imports.\\n- Import results should classify rows as new, existing, duplicate, or failed; do not rely on `INSERT OR IGNORE` as the only duplicate-detection mechanism.\\n- Row hashes must be stable and deterministic: normalize key order, whitespace, and `None` versus empty strings while leaving domain-specific canonicalization to the importer.\\n- If a source file has only current holdings and no full history, import it as `initial_position_snapshot` / `initial_cash_snapshot`, not fake historical buys.\\n- Missing historic FX, fees, taxes, dates, investment case, target weights, or dividend details must be flagged as data-quality gaps.\\n\\n## FX and return rules\\n\\nFor foreign currency assets, always distinguish:\\n\\n- price/security performance in original currency\\n- FX effect to CHF\\n- realized P&L\\n- unrealized P&L\\n- dividends/distributions/income\\n- fees and taxes\\n- Total Return in CHF\\n\\nEvery transaction/income event needs:\\n\\n- original amount and currency\\n- historical FX rate to CHF, or explicit `fx_status=missing` with a critical data-quality alert\\n- FX source and timestamp\\n- CHF equivalent at event date when FX is known\\n\\nManual FX overrides require a non-empty note and an audit-log entry.\\n\\n## Ledger calculation rules\\n\\n- Cash after system start must be calculated from `transactions`; `cash_balances` is only a snapshot/cache/control view.\\n- `initial_cash_snapshot` and `initial_position_snapshot` are explicit starting truths, not fabricated historical trades.\\n- Implement Weighted Average Cost as the MVP internal performance method: buy fees increase cost basis, partial sells remove proportional cost basis, realized P&L is calculated against average cost, full sells zero remaining quantity/cost basis, and dividends do not alter quantity or cost basis.\\n- WAC is not tax-complete; do not add FIFO/LIFO/tax-lot logic in MVP 1, but keep transaction granularity so it can be added later.\\n- Position calculations must keep zero-quantity historical positions visible when sale history exists.\\n- Missing market price or FX must degrade data quality and suppress precise Total Return CHF rather than inventing a value.\\n- Before productive dashboard use, add alert deduplication per rule/entity/date.\\n- Market-FX for non-CHF market prices belongs to the later Market/FX provider block.\\n\\n## Crypto MVP rules\\n\\n- Crypto inventory is MVP-critical but must remain dummy-first until mapper/dry-run layers are ready; do not touch real coin/wallet files during core implementation.\\n- Wallet names must be unique; wallet addresses are optional and must not appear in tests/fixtures.\\n- Validate wallet type against: Hardware Wallet, Software Wallet, Exchange, Bank/Broker, DeFi, Sonstiges.\\n- CoinGecko ID is strongly recommended but not hard-required; missing ID creates a data-quality warning and blocks reliable valuation.\\n- Crypto symbols are not globally unique; symbol conflicts require warning/manual selection, never silent merging.\\n- Initial crypto holdings are confirmed snapshots by wallet+asset. Store legacy values for provenance/control only, never current valuation.\\n- Crypto holdings should be calculated/controlled from initial snapshots plus crypto transactions, not silently overwritten.\\n- Crypto transfers require different source/target wallets, quantity > 0, and same asset; coin fees reduce source-wallet balance.\\n- Negative wallet balances should be blocked in MVP and produce a critical alert unless a future explicit correction workflow is implemented.\\n- Crypto buys/sells with fiat impact must create/reference general ledger transactions via `source_type='crypto'`/`source_id` so cash remains ledger-consistent.\\n- Fiat fees should be ledger fees when unambiguous; avoid double counting when a fee is already embedded in sell net proceeds.\\n- Unknown fee currency creates a data-quality warning instead of invented accounting.\\n- Crypto Cost Basis/WAC is not required for MVP 1; MVP 1 prioritizes crypto holdings, wallet structure, current valuation, reports and audit.\\n- Crypto tax logic, tax lots, FIFO/LIFO and detailed cost basis are later modules.\\n- Keep crypto assets separate from `instruments` for MVP 1, but later evaluate a shared Asset Master if it improves reporting, performance views or watchlists.\\n\\n## Income/tax rules\\n\\nFor dividends and ETF distributions, separately store:\\n\\n- gross dividend/distribution\\n- Swiss withholding tax 35%\\n- foreign withholding tax\\n- other tax/withholding if present\\n- net amount\\n- original currency\\n- historic FX to CHF\\n- gross/net CHF equivalents\\n- platform/account\\n- ISIN/ticker\\n- payment date\\n- ex-dividend date if available\\n\\nPlan later ESTV/ICTax support for Swiss year-end values and tax reports, but label outputs as technical reports, not tax advice.\\n\\n## Market-data rules\\n\\n- Dashboard reads primarily from local DB, not directly from APIs on page load.\\n- Use scheduled jobs to update prices/FX/news.\\n- Store provider, timestamp, quality status and freshness for every price/FX point.\\n- Implement caching, local historical storage, batch requests where possible, provider rate-limit queues, and backoff on HTTP 429.\\n- CoinGecko integrations must be mockable and unit-tested without real API calls; treat HTTP 429 as non-fatal and return a non-fresh data-quality status plus alert after configured retries.\\n- Candidate providers: Finnhub, Financial Modeling Prep, Twelve Data, Stooq, Alpha Vantage selectively, Yahoo Finance fallback only; CoinGecko for crypto; later DefiLlama; ESTV/ICTax for Swiss tax values.\\n\\n## Crypto Decimal precision rules\\n\\nSQLite has no exact native DECIMAL. In the crypto context, store quantities, prices, crypto fees and valuation-relevant amounts as exact Decimal strings (`TEXT`) and compute with Python `Decimal`. Never convert crypto quantity/price/fee/valuation through float/REAL. Format Decimal writes with `format(value, \\\"f\\\")` so small quantities such as `0.00000001` do not become scientific notation. CSV importers must validate Decimal strings, and tests should assert high-precision preservation plus SQLite text storage.\\n\\n## Alert lifecycle rules\\n\\nAlerts must be deduplicated and lifecycle-aware before dashboards run repeated calculations. Use a dedup key from `rule_id`, `entity_type`, `entity_id`, `priority` and an error fingerprint. Alerts should carry `status` (`active`, `resolved`, `muted`), `resolved_at`, optional `muted_until`, `last_seen_at`, `occurrence_count`, `fingerprint` and `dedup_key`. Re-seeing an identical active/resolved/muted alert should update `last_seen_at`/`occurrence_count` rather than create a new active row; changed fingerprints may create a new alert.\\n\\n## Git/GitHub safety\\n\\nCode/scripts/docs may be stored in a private Git repo, but never commit financial data. Use the `github-repo-management` skill and its `references/sensitive-code-backup.md` guidance.\\n\\nMinimum `.gitignore` for finance repos must block `data/`, `reports/`, `exports/`, `backups/`, DB files, spreadsheets, PDFs, DOCX, raw CSV/JSON, `.env`, tokens, credentials and client secrets. Only synthetic examples under `examples/` are acceptable.\\n\\n## MVP implementation safety gate\\n\\nBefore any real broker/bank/portfolio/crypto data is imported, build and verify the safety foundation described in `references/mvp-safety-gate-implementation.md`: repo skeleton, `.gitignore`, `.env.example`, runtime outside repo, settings validation, SQLite schema, synthetic fixtures, audit log, CSV dry-run, duplicate protection, and Git-safety scan. Run the safety scan before staging, committing, or pushing. If GitHub credentials are needed from Drive, use them only in a temporary location and never echo token values.\\n\\n## Common pitfalls\\n\\n- Building a fancy dashboard before ledger correctness is verified.\\n- Treating a holdings snapshot as a real transaction history.\\n- Mixing price P&L and FX P&L.\\n- Letting dashboard refreshes hammer APIs.\\n- Committing realistic sample data to Git because the repo is private. Private GitHub is not a financial data vault.\\n- Showing real portfolio values back to the user unnecessarily in summaries.\\n- Designing Git-safety scans that block source package names like `src/.../imports` or `src/.../reports`; block top-level runtime/data directories instead.\\n- Running compile/tests before Git-safety and forgetting generated `__pycache__`; remove or ignore generated caches before safety scans.\\n- Treating verifier/file-mutation warnings as either automatically true or automatically false. Check the exact commit with `git show --name-status --patch -- `, then separately verify whether the test matrix actually covers the promised cases.\\n- Adding broad Git-safety tests that only assert `len(findings) >= N`; prefer explicit assertions for token filename, PAT patterns, private keys, CSV/JSON path policy, runtime/data directories, allowed synthetic paths, `config.example/`, and normal `src/` false-positive protection.\\n\", \"path\": \"finance/finance-system-architecture/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/finance/finance-system-architecture\", \"linked_files\": {\"references\": [\"references/mvp-import-pipeline-tasks-9-13.md\", \"references/spec-v0.3-decisions.md\", \"references/mvp-market-import-safety-hardening.md\", \"references/spec-v0.4-implementation-blueprint.md\", \"references/spec-v0.4.1-corrections.md\", \"references/mvp-crypto-wallet-ledger.md\", \"references/mvp-safety-gate-implementation.md\", \"references/spec-v0.5-repo-blueprint.md\", \"references/spec-v0.2-decisions.md\", \"references/mvp-ledger-cash-wac-positions.md\", \"references/git-safety-verification-coverage.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\": [\"finance\", \"portfolio\", \"accounting\", \"dashboard\", \"csv\", \"fx\", \"tax\", \"privacy\"]}}}",
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"content": "{\"success\": true, \"name\": \"test-driven-development\", \"description\": \"TDD: enforce RED-GREEN-REFACTOR, tests before code.\", \"tags\": [\"testing\", \"tdd\", \"development\", \"quality\", \"red-green-refactor\"], \"related_skills\": [\"systematic-debugging\", \"writing-plans\", \"subagent-driven-development\"], \"content\": \"---\\nname: test-driven-development\\ndescription: \\\"TDD: enforce RED-GREEN-REFACTOR, tests before code.\\\"\\nversion: 1.1.0\\nauthor: Hermes Agent (adapted from obra/superpowers)\\nlicense: MIT\\nplatforms: [linux, macos, windows]\\nmetadata:\\n hermes:\\n tags: [testing, tdd, development, quality, red-green-refactor]\\n related_skills: [systematic-debugging, writing-plans, subagent-driven-development]\\n---\\n\\n# Test-Driven Development (TDD)\\n\\n## Overview\\n\\nWrite the test first. Watch it fail. Write minimal code to pass.\\n\\n**Core principle:** If you didn't watch the test fail, you don't know if it tests the right thing.\\n\\n**Violating the letter of the rules is violating the spirit of the rules.**\\n\\n## When to Use\\n\\n**Always:**\\n- New features\\n- Bug fixes\\n- Refactoring\\n- Behavior changes\\n\\n**Exceptions (ask the user first):**\\n- Throwaway prototypes\\n- Generated code\\n- Configuration files\\n\\nThinking \\\"skip TDD just this once\\\"? Stop. That's rationalization.\\n\\n## The Iron Law\\n\\n```\\nNO PRODUCTION CODE WITHOUT A FAILING TEST FIRST\\n```\\n\\nWrite code before the test? Delete it. Start over.\\n\\n**No exceptions:**\\n- Don't keep it as \\\"reference\\\"\\n- Don't \\\"adapt\\\" it while writing tests\\n- Don't look at it\\n- Delete means delete\\n\\nImplement fresh from tests. Period.\\n\\n## Red-Green-Refactor Cycle\\n\\n### RED — Write Failing Test\\n\\nWrite one minimal test showing what should happen.\\n\\n**Good test:**\\n```python\\ndef test_retries_failed_operations_3_times():\\n attempts = 0\\n def operation():\\n nonlocal attempts\\n attempts += 1\\n if attempts < 3:\\n raise Exception('fail')\\n return 'success'\\n\\n result = retry_operation(operation)\\n\\n assert result == 'success'\\n assert attempts == 3\\n```\\nClear name, tests real behavior, one thing.\\n\\n**Bad test:**\\n```python\\ndef test_retry_works():\\n mock = MagicMock()\\n mock.side_effect = [Exception(), Exception(), 'success']\\n result = retry_operation(mock)\\n assert result == 'success' # What about retry count? Timing?\\n```\\nVague name, tests mock not real code.\\n\\n**Requirements:**\\n- One behavior per test\\n- Clear descriptive name (\\\"and\\\" in name? Split it)\\n- Real code, not mocks (unless truly unavoidable)\\n- Name describes behavior, not implementation\\n\\n### Verify RED — Watch It Fail\\n\\n**MANDATORY. Never skip.**\\n\\n```bash\\n# Use terminal tool to run the specific test\\npytest tests/test_feature.py::test_specific_behavior -v\\n```\\n\\nConfirm:\\n- Test fails (not errors from typos)\\n- Failure message is expected\\n- Fails because the feature is missing\\n\\n**Test passes immediately?** You're testing existing behavior. Fix the test.\\n\\n**Test errors?** Fix the error, re-run until it fails correctly.\\n\\n### GREEN — Minimal Code\\n\\nWrite the simplest code to pass the test. Nothing more.\\n\\n**Good:**\\n```python\\ndef add(a, b):\\n return a + b # Nothing extra\\n```\\n\\n**Bad:**\\n```python\\ndef add(a, b):\\n result = a + b\\n logging.info(f\\\"Adding {a} + {b} = {result}\\\") # Extra!\\n return result\\n```\\n\\nDon't add features, refactor other code, or \\\"improve\\\" beyond the test.\\n\\n**Cheating is OK in GREEN:**\\n- Hardcode return values\\n- Copy-paste\\n- Duplicate code\\n- Skip edge cases\\n\\nWe'll fix it in REFACTOR.\\n\\n### Verify GREEN — Watch It Pass\\n\\n**MANDATORY.**\\n\\n```bash\\n# Run the specific test\\npytest tests/test_feature.py::test_specific_behavior -v\\n\\n# Then run ALL tests to check for regressions\\npytest tests/ -q\\n```\\n\\nConfirm:\\n- Test passes\\n- Other tests still pass\\n- Output pristine (no errors, warnings)\\n\\n**Test fails?** Fix the code, not the test.\\n\\n**Other tests fail?** Fix regressions now.\\n\\n### REFACTOR — Clean Up\\n\\nAfter green only:\\n- Remove duplication\\n- Improve names\\n- Extract helpers\\n- Simplify expressions\\n\\nKeep tests green throughout. Don't add behavior.\\n\\n**If tests fail during refactor:** Undo immediately. Take smaller steps.\\n\\n### Repeat\\n\\nNext failing test for next behavior. One cycle at a time.\\n\\n## Why Order Matters\\n\\n**\\\"I'll write tests after to verify it works\\\"**\\n\\nTests written after code pass immediately. Passing immediately proves nothing:\\n- Might test the wrong thing\\n- Might test implementation, not behavior\\n- Might miss edge cases you forgot\\n- You never saw it catch the bug\\n\\nTest-first forces you to see the test fail, proving it actually tests something.\\n\\n**\\\"I already manually tested all the edge cases\\\"**\\n\\nManual testing is ad-hoc. You think you tested everything but:\\n- No record of what you tested\\n- Can't re-run when code changes\\n- Easy to forget cases under pressure\\n- \\\"It worked when I tried it\\\" ≠ comprehensive\\n\\nAutomated tests are systematic. They run the same way every time.\\n\\n**\\\"Deleting X hours of work is wasteful\\\"**\\n\\nSunk cost fallacy. The time is already gone. Your choice now:\\n- Delete and rewrite with TDD (high confidence)\\n- Keep it and add tests after (low confidence, likely bugs)\\n\\nThe \\\"waste\\\" is keeping code you can't trust.\\n\\n**\\\"TDD is dogmatic, being pragmatic means adapting\\\"**\\n\\nTDD IS pragmatic:\\n- Finds bugs before commit (faster than debugging after)\\n- Prevents regressions (tests catch breaks immediately)\\n- Documents behavior (tests show how to use code)\\n- Enables refactoring (change freely, tests catch breaks)\\n\\n\\\"Pragmatic\\\" shortcuts = debugging in production = slower.\\n\\n**\\\"Tests after achieve the same goals — it's spirit not ritual\\\"**\\n\\nNo. Tests-after answer \\\"What does this do?\\\" Tests-first answer \\\"What should this do?\\\"\\n\\nTests-after are biased by your implementation. You test what you built, not what's required. Tests-first force edge case discovery before implementing.\\n\\n## Common Rationalizations\\n\\n| Excuse | Reality |\\n|--------|---------|\\n| \\\"Too simple to test\\\" | Simple code breaks. Test takes 30 seconds. |\\n| \\\"I'll test after\\\" | Tests passing immediately prove nothing. |\\n| \\\"Tests after achieve same goals\\\" | Tests-after = \\\"what does this do?\\\" Tests-first = \\\"what should this do?\\\" |\\n| \\\"Already manually tested\\\" | Ad-hoc ≠ systematic. No record, can't re-run. |\\n| \\\"Deleting X hours is wasteful\\\" | Sunk cost fallacy. Keeping unverified code is technical debt. |\\n| \\\"Keep as reference, write tests first\\\" | You'll adapt it. That's testing after. Delete means delete. |\\n| \\\"Need to explore first\\\" | Fine. Throw away exploration, start with TDD. |\\n| \\\"Test hard = design unclear\\\" | Listen to the test. Hard to test = hard to use. |\\n| \\\"TDD will slow me down\\\" | TDD faster than debugging. Pragmatic = test-first. |\\n| \\\"Manual test faster\\\" | Manual doesn't prove edge cases. You'll re-test every change. |\\n| \\\"Existing code has no tests\\\" | You're improving it. Add tests for the code you touch. |\\n\\n## Red Flags — STOP and Start Over\\n\\nIf you catch yourself doing any of these, delete the code and restart with TDD:\\n\\n- Code before test\\n- Test after implementation\\n- Test passes immediately on first run\\n- Can't explain why test failed\\n- Tests added \\\"later\\\"\\n- Rationalizing \\\"just this once\\\"\\n- \\\"I already manually tested it\\\"\\n- \\\"Tests after achieve the same purpose\\\"\\n- \\\"Keep as reference\\\" or \\\"adapt existing code\\\"\\n- \\\"Already spent X hours, deleting is wasteful\\\"\\n- \\\"TDD is dogmatic, I'm being pragmatic\\\"\\n- \\\"This is different because...\\\"\\n\\n**All of these mean: Delete code. Start over with TDD.**\\n\\n## Verification Checklist\\n\\nBefore marking work complete:\\n\\n- [ ] Every new function/method has a test\\n- [ ] Watched each test fail before implementing\\n- [ ] Each test failed for expected reason (feature missing, not typo)\\n- [ ] Wrote minimal code to pass each test\\n- [ ] All tests pass\\n- [ ] Output pristine (no errors, warnings)\\n- [ ] Tests use real code (mocks only if unavoidable)\\n- [ ] Edge cases and errors covered\\n\\nCan't check all boxes? You skipped TDD. Start over.\\n\\n## When Stuck\\n\\n| Problem | Solution |\\n|---------|----------|\\n| Don't know how to test | Write the wished-for API. Write the assertion first. Ask the user. |\\n| Test too complicated | Design too complicated. Simplify the interface. |\\n| Must mock everything | Code too coupled. Use dependency injection. |\\n| Test setup huge | Extract helpers. Still complex? Simplify the design. |\\n\\n## Hermes Agent Integration\\n\\n### Running Tests\\n\\nUse the `terminal` tool to run tests at each step:\\n\\n```python\\n# RED — verify failure\\nterminal(\\\"pytest tests/test_feature.py::test_name -v\\\")\\n\\n# GREEN — verify pass\\nterminal(\\\"pytest tests/test_feature.py::test_name -v\\\")\\n\\n# Full suite — verify no regressions\\nterminal(\\\"pytest tests/ -q\\\")\\n```\\n\\n### With delegate_task\\n\\nWhen dispatching subagents for implementation, enforce TDD in the goal:\\n\\n```python\\ndelegate_task(\\n goal=\\\"Implement [feature] using strict TDD\\\",\\n context=\\\"\\\"\\\"\\n Follow test-driven-development skill:\\n 1. Write failing test FIRST\\n 2. Run test to verify it fails\\n 3. Write minimal code to pass\\n 4. Run test to verify it passes\\n 5. Refactor if needed\\n 6. Commit\\n\\n Project test command: pytest tests/ -q\\n Project structure: [describe relevant files]\\n \\\"\\\"\\\",\\n toolsets=['terminal', 'file']\\n)\\n```\\n\\n### With systematic-debugging\\n\\nBug found? Write failing test reproducing it. Follow TDD cycle. The test proves the fix and prevents regression.\\n\\nNever fix bugs without a test.\\n\\n## Testing Anti-Patterns\\n\\n- **Testing mock behavior instead of real behavior** — mocks should verify interactions, not replace the system under test\\n- **Testing implementation details** — test behavior/results, not internal method calls\\n- **Happy path only** — always test edge cases, errors, and boundaries\\n- **Brittle tests** — tests should verify behavior, not structure; refactoring shouldn't break them\\n\\n## Final Rule\\n\\n```\\nProduction code → test exists and failed first\\nOtherwise → not TDD\\n```\\n\\nNo exceptions without the user's explicit permission.\\n\", \"path\": \"software-development/test-driven-development/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/software-development/test-driven-development\", \"linked_files\": null, \"usage_hint\": null, \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"testing\", \"tdd\", \"development\", \"quality\", \"red-green-refactor\"], \"related_skills\": [\"systematic-debugging\", \"writing-plans\", \"subagent-driven-development\"]}}}",
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"content": "{\"success\": true, \"name\": \"github-pr-workflow\", \"description\": \"GitHub PR lifecycle: branch, commit, open, CI, merge.\", \"tags\": [\"GitHub\", \"Pull-Requests\", \"CI/CD\", \"Git\", \"Automation\", \"Merge\"], \"related_skills\": [\"github-auth\", \"github-code-review\"], \"content\": \"---\\nname: github-pr-workflow\\ndescription: \\\"GitHub PR lifecycle: branch, commit, open, CI, merge.\\\"\\nversion: 1.1.0\\nauthor: Hermes Agent\\nlicense: MIT\\nplatforms: [linux, macos, windows]\\nmetadata:\\n hermes:\\n tags: [GitHub, Pull-Requests, CI/CD, Git, Automation, Merge]\\n related_skills: [github-auth, github-code-review]\\n---\\n\\n# GitHub Pull Request Workflow\\n\\nComplete guide for managing the PR lifecycle. Each section shows the `gh` way first, then the `git` + `curl` fallback for machines without `gh`.\\n\\n## Prerequisites\\n\\n- Authenticated with GitHub (see `github-auth` skill)\\n- Inside a git repository with a GitHub remote\\n\\n### Quick Auth Detection\\n\\n```bash\\n# Determine which method to use throughout this workflow\\nif command -v gh &>/dev/null && gh auth status &>/dev/null; then\\n AUTH=\\\"gh\\\"\\nelse\\n AUTH=\\\"git\\\"\\n # Ensure we have a token for API calls\\n if [ -z \\\"$GITHUB_TOKEN\\\" ]; then\\n if [ -f ~/.hermes/.env ] && grep -q \\\"^GITHUB_TOKEN=\\\" ~/.hermes/.env; then\\n GITHUB_TOKEN=$(grep \\\"^GITHUB_TOKEN=\\\" ~/.hermes/.env | head -1 | cut -d= -f2 | tr -d '\\\\n\\\\r')\\n elif grep -q \\\"github.com\\\" ~/.git-credentials 2>/dev/null; then\\n GITHUB_TOKEN=$(grep \\\"github.com\\\" ~/.git-credentials 2>/dev/null | head -1 | sed 's|https://[^:]*:\\\\([^@]*\\\\)@.*|\\\\1|')\\n fi\\n fi\\nfi\\necho \\\"Using: $AUTH\\\"\\n```\\n\\n### Extracting Owner/Repo from the Git Remote\\n\\nMany `curl` commands need `owner/repo`. Extract it from the git remote:\\n\\n```bash\\n# Works for both HTTPS and SSH remote URLs\\nREMOTE_URL=$(git remote get-url origin)\\nOWNER_REPO=$(echo \\\"$REMOTE_URL\\\" | sed -E 's|.*github\\\\.com[:/]||; s|\\\\.git$||')\\nOWNER=$(echo \\\"$OWNER_REPO\\\" | cut -d/ -f1)\\nREPO=$(echo \\\"$OWNER_REPO\\\" | cut -d/ -f2)\\necho \\\"Owner: $OWNER, Repo: $REPO\\\"\\n```\\n\\n---\\n\\n## 1. Branch Creation\\n\\nThis part is pure `git` — identical either way:\\n\\n```bash\\n# Make sure you're up to date\\ngit fetch origin\\ngit checkout main && git pull origin main\\n\\n# Create and switch to a new branch\\ngit checkout -b feat/add-user-authentication\\n```\\n\\nBranch naming conventions:\\n- `feat/description` — new features\\n- `fix/description` — bug fixes\\n- `refactor/description` — code restructuring\\n- `docs/description` — documentation\\n- `ci/description` — CI/CD changes\\n\\n## 2. Making Commits\\n\\nUse the agent's file tools (`write_file`, `patch`) to make changes, then commit:\\n\\n```bash\\n# Stage specific files\\ngit add src/auth.py src/models/user.py tests/test_auth.py\\n\\n# Commit with a conventional commit message\\ngit commit -m \\\"feat: add JWT-based user authentication\\n\\n- Add login/register endpoints\\n- Add User model with password hashing\\n- Add auth middleware for protected routes\\n- Add unit tests for auth flow\\\"\\n```\\n\\nCommit message format (Conventional Commits):\\n```\\ntype(scope): short description\\n\\nLonger explanation if needed. Wrap at 72 characters.\\n```\\n\\nTypes: `feat`, `fix`, `refactor`, `docs`, `test`, `ci`, `chore`, `perf`\\n\\n## 3. Pushing and Creating a PR\\n\\n### Push the Branch (same either way)\\n\\n```bash\\ngit push -u origin HEAD\\n```\\n\\n### Create the PR\\n\\n**With gh:**\\n\\n```bash\\ngh pr create \\\\\\n --title \\\"feat: add JWT-based user authentication\\\" \\\\\\n --body \\\"## Summary\\n- Adds login and register API endpoints\\n- JWT token generation and validation\\n\\n## Test Plan\\n- [ ] Unit tests pass\\n\\nCloses #42\\\"\\n```\\n\\nOptions: `--draft`, `--reviewer user1,user2`, `--label \\\"enhancement\\\"`, `--base develop`\\n\\n**With git + curl:**\\n\\n```bash\\nBRANCH=$(git branch --show-current)\\n\\ncurl -s -X POST \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n -H \\\"Accept: application/vnd.github.v3+json\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/pulls \\\\\\n -d \\\"{\\n \\\\\\\"title\\\\\\\": \\\\\\\"feat: add JWT-based user authentication\\\\\\\",\\n \\\\\\\"body\\\\\\\": \\\\\\\"## Summary\\\\nAdds login and register API endpoints.\\\\n\\\\nCloses #42\\\\\\\",\\n \\\\\\\"head\\\\\\\": \\\\\\\"$BRANCH\\\\\\\",\\n \\\\\\\"base\\\\\\\": \\\\\\\"main\\\\\\\"\\n }\\\"\\n```\\n\\nThe response JSON includes the PR `number` — save it for later commands.\\n\\nTo create as a draft, add `\\\"draft\\\": true` to the JSON body.\\n\\n## 4. Monitoring CI Status\\n\\n### Check CI Status\\n\\n**With gh:**\\n\\n```bash\\n# One-shot check\\ngh pr checks\\n\\n# Watch until all checks finish (polls every 10s)\\ngh pr checks --watch\\n```\\n\\n**With git + curl:**\\n\\n```bash\\n# Get the latest commit SHA on the current branch\\nSHA=$(git rev-parse HEAD)\\n\\n# Query the combined status\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/commits/$SHA/status \\\\\\n | python3 -c \\\"\\nimport sys, json\\ndata = json.load(sys.stdin)\\nprint(f\\\\\\\"Overall: {data['state']}\\\\\\\")\\nfor s in data.get('statuses', []):\\n print(f\\\\\\\" {s['context']}: {s['state']} - {s.get('description', '')}\\\\\\\")\\\"\\n\\n# Also check GitHub Actions check runs (separate endpoint)\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/commits/$SHA/check-runs \\\\\\n | python3 -c \\\"\\nimport sys, json\\ndata = json.load(sys.stdin)\\nfor cr in data.get('check_runs', []):\\n print(f\\\\\\\" {cr['name']}: {cr['status']} / {cr['conclusion'] or 'pending'}\\\\\\\")\\\"\\n```\\n\\n### Poll Until Complete (git + curl)\\n\\n```bash\\n# Simple polling loop — check every 30 seconds, up to 10 minutes\\nSHA=$(git rev-parse HEAD)\\nfor i in $(seq 1 20); do\\n STATUS=$(curl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/commits/$SHA/status \\\\\\n | python3 -c \\\"import sys,json; print(json.load(sys.stdin)['state'])\\\")\\n echo \\\"Check $i: $STATUS\\\"\\n if [ \\\"$STATUS\\\" = \\\"success\\\" ] || [ \\\"$STATUS\\\" = \\\"failure\\\" ] || [ \\\"$STATUS\\\" = \\\"error\\\" ]; then\\n break\\n fi\\n sleep 30\\ndone\\n```\\n\\n## 5. Auto-Fixing CI Failures\\n\\nWhen CI fails, diagnose and fix. This loop works with either auth method.\\n\\n### Step 1: Get Failure Details\\n\\n**With gh:**\\n\\n```bash\\n# List recent workflow runs on this branch\\ngh run list --branch $(git branch --show-current) --limit 5\\n\\n# View failed logs\\ngh run view --log-failed\\n```\\n\\n**With git + curl:**\\n\\n```bash\\nBRANCH=$(git branch --show-current)\\n\\n# List workflow runs on this branch\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n \\\"https://api.github.com/repos/$OWNER/$REPO/actions/runs?branch=$BRANCH&per_page=5\\\" \\\\\\n | python3 -c \\\"\\nimport sys, json\\nruns = json.load(sys.stdin)['workflow_runs']\\nfor r in runs:\\n print(f\\\\\\\"Run {r['id']}: {r['name']} - {r['conclusion'] or r['status']}\\\\\\\")\\\"\\n\\n# Get failed job logs (download as zip, extract, read)\\nRUN_ID=\\ncurl -s -L \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/actions/runs/$RUN_ID/logs \\\\\\n -o /tmp/ci-logs.zip\\ncd /tmp && unzip -o ci-logs.zip -d ci-logs && cat ci-logs/*.txt\\n```\\n\\n### Step 2: Fix and Push\\n\\nAfter identifying the issue, use file tools (`patch`, `write_file`) to fix it:\\n\\n```bash\\ngit add \\ngit commit -m \\\"fix: resolve CI failure in \\\"\\ngit push\\n```\\n\\n### Step 3: Verify\\n\\nRe-check CI status using the commands from Section 4 above.\\n\\n### Auto-Fix Loop Pattern\\n\\nWhen asked to auto-fix CI, follow this loop:\\n\\n1. Check CI status → identify failures\\n2. Read failure logs → understand the error\\n3. Use `read_file` + `patch`/`write_file` → fix the code\\n4. `git add . && git commit -m \\\"fix: ...\\\" && git push`\\n5. Wait for CI → re-check status\\n6. Repeat if still failing (up to 3 attempts, then ask the user)\\n\\n## 6. Merging\\n\\n**With gh:**\\n\\n```bash\\n# Squash merge + delete branch (cleanest for feature branches)\\ngh pr merge --squash --delete-branch\\n\\n# Enable auto-merge (merges when all checks pass)\\ngh pr merge --auto --squash --delete-branch\\n```\\n\\n**With git + curl:**\\n\\n```bash\\nPR_NUMBER=\\n\\n# Merge the PR via API (squash)\\ncurl -s -X PUT \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/pulls/$PR_NUMBER/merge \\\\\\n -d \\\"{\\n \\\\\\\"merge_method\\\\\\\": \\\\\\\"squash\\\\\\\",\\n \\\\\\\"commit_title\\\\\\\": \\\\\\\"feat: add user authentication (#$PR_NUMBER)\\\\\\\"\\n }\\\"\\n\\n# Delete the remote branch after merge\\nBRANCH=$(git branch --show-current)\\ngit push origin --delete $BRANCH\\n\\n# Switch back to main locally\\ngit checkout main && git pull origin main\\ngit branch -d $BRANCH\\n```\\n\\nMerge methods: `\\\"merge\\\"` (merge commit), `\\\"squash\\\"`, `\\\"rebase\\\"`\\n\\n### Enable Auto-Merge (curl)\\n\\n```bash\\n# Auto-merge requires the repo to have it enabled in settings.\\n# This uses the GraphQL API since REST doesn't support auto-merge.\\nPR_NODE_ID=$(curl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/pulls/$PR_NUMBER \\\\\\n | python3 -c \\\"import sys,json; print(json.load(sys.stdin)['node_id'])\\\")\\n\\ncurl -s -X POST \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/graphql \\\\\\n -d \\\"{\\\\\\\"query\\\\\\\": \\\\\\\"mutation { enablePullRequestAutoMerge(input: {pullRequestId: \\\\\\\\\\\\\\\"$PR_NODE_ID\\\\\\\\\\\\\\\", mergeMethod: SQUASH}) { clientMutationId } }\\\\\\\"}\\\"\\n```\\n\\n## 7. Complete Workflow Example\\n\\n```bash\\n# 1. Start from clean main\\ngit checkout main && git pull origin main\\n\\n# 2. Branch\\ngit checkout -b fix/login-redirect-bug\\n\\n# 3. (Agent makes code changes with file tools)\\n\\n# 4. Commit\\ngit add src/auth/login.py tests/test_login.py\\ngit commit -m \\\"fix: correct redirect URL after login\\n\\nPreserves the ?next= parameter instead of always redirecting to /dashboard.\\\"\\n\\n# 5. Push\\ngit push -u origin HEAD\\n\\n# 6. Create PR (picks gh or curl based on what's available)\\n# ... (see Section 3)\\n\\n# 7. Monitor CI (see Section 4)\\n\\n# 8. 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"content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|from decimal import Decimal\\n 4|from pathlib import Path\\n 5|from sqlite3 import Connection\\n 6|\\n 7|from jarvis_finance.audit.log import record_audit_event\\n 8|from jarvis_finance.imports.accounts_importer import import_accounts_csv\\n 9|from jarvis_finance.imports.cash_balances_importer import import_cash_balances_csv\\n 10|from jarvis_finance.imports.crypto_holdings_importer import import_crypto_holdings_csv\\n 11|from jarvis_finance.imports.crypto_transactions_importer import import_crypto_transactions_csv\\n 12|from jarvis_finance.imports.crypto_wallets_importer import import_crypto_wallets_csv\\n 13|from jarvis_finance.imports.instruments_importer import import_instruments_csv\\n 14|from jarvis_finance.imports.transactions_importer import import_transactions_csv\\n 15|from jarvis_finance.imports.watchlist_importer import import_watchlist_csv\\n 16|from jarvis_finance.imports.common import stable_id, utc_now\\n 17|from jarvis_finance.crypto.assets import create_crypto_asset\\n 18|from jarvis_finance.crypto.holdings import create_initial_holding_snapshot\\n 19|from jarvis_finance.crypto.transactions import record_crypto_transfer\\n 20|from jarvis_finance.market.providers import PriceQuote, store_crypto_price\\n 21|from jarvis_finance.quality.alerts import create_alert\\n 22|from jarvis_finance.storage.migrations import apply_migrations\\n 23|\\n 24|ROOT = Path(__file__).resolve().parents[3]\\n 25|DEFAULT_FIXTURES = ROOT / \\\"tests\\\" / \\\"fixtures\\\"\\n 26|\\n 27|\\n 28|def load_synthetic_demo_data(conn: Connection, fixtures_dir: Path | None = None) -> None:\\n 29| \\\"\\\"\\\"Load deterministic synthetic fixtures into an existing SQLite connection.\\n 30|\\n 31| This function is explicit-only: dashboard pages never call it automatically.\\n 32| It is safe for tests and local demo DB creation because it reads only tests/fixtures.\\n 33| \\\"\\\"\\\"\\n 34| apply_migrations(conn)\\n 35| fixtures = fixtures_dir or DEFAULT_FIXTURES\\n 36| import_accounts_csv(conn, fixtures / \\\"accounts.csv\\\", commit=True)\\n 37| import_instruments_csv(conn, fixtures / \\\"instruments.csv\\\", commit=True)\\n 38| import_transactions_csv(conn, fixtures / \\\"transactions.csv\\\", commit=True)\\n 39| import_crypto_wallets_csv(conn, fixtures / \\\"crypto_wallets.csv\\\", commit=True)\\n 40| # Current canonical crypto importers are intentionally stricter than early fixtures.\\n 41| # Seed the local demo DB via domain APIs to keep this explicit and synthetic.\\n 42| _add_demo_crypto(conn)\\n 43| _add_demo_watchlist(conn)\\n 44| import_cash_balances_csv(conn, fixtures / \\\"cash_balances_initial.csv\\\", commit=True)\\n 45| _add_demo_prices(conn)\\n 46| _add_demo_alerts_and_audit(conn)\\n 47| conn.commit()\\n 48|\\n 49|\\n 50|def _add_demo_crypto(conn: Connection) -> None:\\n 51| btc = create_crypto_asset(conn, coin_name=\\\"Demo Bitcoin\\\", symbol=\\\"DBTC\\\", coingecko_id=\\\"demo-bitcoin\\\")\\n 52| eth = create_crypto_asset(conn, coin_name=\\\"Demo Ether\\\", symbol=\\\"DETH\\\", coingecko_id=\\\"demo-ether\\\")\\n 53| ledger = conn.execute(\\\"SELECT wallet_id FROM crypto_wallets WHERE wallet_name='Ledger Demo'\\\").fetchone()\\n 54| kraken = conn.execute(\\\"SELECT wallet_id FROM crypto_wallets WHERE wallet_name='Kraken Demo'\\\").fetchone()\\n 55| if ledger and not conn.execute(\\\"SELECT 1 FROM crypto_holdings WHERE wallet_id=? AND asset_id=?\\\", (ledger[\\\"wallet_id\\\"], btc)).fetchone():\\n 56| create_initial_holding_snapshot(conn, asset_id=btc, wallet_id=ledger[\\\"wallet_id\\\"], quantity=Decimal(\\\"0.10\\\"), verification_status=\\\"verified\\\", last_verified_at=\\\"2026-01-31T12:00:00Z\\\", notes=\\\"Synthetischer Bestand\\\")\\n 57| if kraken and not conn.execute(\\\"SELECT 1 FROM crypto_holdings WHERE wallet_id=? AND asset_id=?\\\", (kraken[\\\"wallet_id\\\"], eth)).fetchone():\\n 58| create_initial_holding_snapshot(conn, asset_id=eth, wallet_id=kraken[\\\"wallet_id\\\"], quantity=Decimal(\\\"1.50\\\"), verification_status=\\\"verified\\\", last_verified_at=\\\"2026-01-31T12:00:00Z\\\", notes=\\\"Synthetischer Bestand\\\")\\n 59| if ledger and kraken and not conn.execute(\\\"SELECT 1 FROM crypto_transactions WHERE tx_hash='synthetic_demo_hash_001'\\\").fetchone():\\n 60| record_crypto_transfer(conn, asset_id=btc, from_wallet_id=ledger[\\\"wallet_id\\\"], to_wallet_id=kraken[\\\"wallet_id\\\"], quantity=Decimal(\\\"0.01\\\"), fee_quantity=Decimal(\\\"0.0001\\\"), tx_hash=\\\"synthetic_demo_hash_001\\\", notes=\\\"Synthetischer Transfer\\\")\\n 61|\\n 62|\\n 63|def _add_demo_watchlist(conn: Connection) -> None:\\n 64| if conn.execute(\\\"SELECT 1 FROM watchlist WHERE name='Demo World ETF'\\\").fetchone():\\n 65| return\\n 66| now = utc_now()\\n 67| conn.execute(\\n 68| \\\"\\\"\\\"\\n 69| INSERT INTO watchlist(watchlist_id, name, asset_class, reason, status, target_entry_price,\\n 70| target_entry_currency, investment_case, bear_case, created_at)\\n 71| VALUES (?, 'Demo World ETF', 'ETF', 'Core-Kandidat', 'active', '100', 'CHF',\\n 72| 'Synthetischer Case', 'Synthetischer Bear Case', ?)\\n 73| \\\"\\\"\\\",\\n 74| (stable_id(\\\"watch\\\", \\\"Demo World ETF\\\", \\\"ETF\\\"), now),\\n 75| )\\n 76|\\n 77|\\n 78|def _add_demo_prices(conn: Connection) -> None:\\n 79| prices = {\\\"demo-bitcoin\\\": Decimal(\\\"40000.00\\\"), \\\"demo-ether\\\": Decimal(\\\"2500.00\\\")}\\n 80| for row in conn.execute(\\\"SELECT asset_id, coingecko_id FROM crypto_assets WHERE coingecko_id IS NOT NULL AND coingecko_id != ''\\\").fetchall():\\n 81| price = prices.get(row[\\\"coingecko_id\\\"], Decimal(\\\"1.00\\\"))\\n 82| existing = conn.execute(\\\"SELECT 1 FROM crypto_prices WHERE asset_id=? AND price_currency='CHF'\\\", (row[\\\"asset_id\\\"],)).fetchone()\\n 83| if existing:\\n 84| continue\\n 85| store_crypto_price(conn, asset_id=row[\\\"asset_id\\\"], quote=PriceQuote(row[\\\"coingecko_id\\\"], \\\"CHF\\\", price, provider=\\\"synthetic-cache\\\", provider_timestamp=\\\"2026-02-01T00:00:00Z\\\"))\\n 86| instrument = conn.execute(\\\"SELECT instrument_id FROM instruments ORDER BY name LIMIT 1\\\").fetchone()\\n 87| if instrument and not conn.execute(\\\"SELECT 1 FROM market_prices WHERE instrument_id=?\\\", (instrument[\\\"instrument_id\\\"],)).fetchone():\\n 88| now = utc_now()\\n 89| conn.execute(\\n 90| \\\"\\\"\\\"\\n 91| INSERT INTO market_prices(market_price_id, instrument_id, price_date, close, currency, provider, quality_status, created_at)\\n 92| VALUES (?, ?, '2026-02-01', '112.50', 'CHF', 'synthetic-cache', 'ok', ?)\\n 93| \\\"\\\"\\\",\\n 94| (stable_id(\\\"mprice\\\", instrument[\\\"instrument_id\\\"], \\\"2026-02-01\\\"), instrument[\\\"instrument_id\\\"], now),\\n 95| )\\n 96|\\n 97|\\n 98|def _add_demo_alerts_and_audit(conn: Connection) -> None:\\n 99| create_alert(\\n 100| conn,\\n 101| priority=\\\"warnung\\\",\\n 102| category=\\\"market_data\\\",\\n 103| entity_type=\\\"crypto_price\\\",\\n 104| entity_id=\\\"synthetic-demo\\\",\\n 105| rule_id=\\\"demo_stale_price\\\",\\n 106| message=\\\"Synthetic demo alert: verify price freshness before using real data.\\\",\\n 107| evidence={\\\"source\\\": \\\"synthetic\\\"},\\n 108| fingerprint=\\\"synthetic-demo-stale-price\\\",\\n 109| )\\n 110| if not conn.execute(\\\"SELECT 1 FROM audit_log WHERE source='dashboard_demo'\\\").fetchone():\\n 111| record_audit_event(\\n 112| conn,\\n 113| source=\\\"dashboard_demo\\\",\\n 114| action=\\\"load_synthetic_demo_data\\\",\\n 115| entity_type=\\\"demo_dataset\\\",\\n 116| entity_id=\\\"synthetic-fixtures\\\",\\n 117| new_values={\\\"fixtures\\\": \\\"tests/fixtures\\\", \\\"real_data\\\": False},\\n 118| confirmed=True,\\n 119| created_by=\\\"system\\\",\\n 120| )\\n 121|\", \"total_lines\": 120, \"file_size\": 6997, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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"content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|from dataclasses import dataclass, field\\n 4|from decimal import Decimal\\n 5|from sqlite3 import Connection\\n 6|\\n 7|from jarvis_finance.audit.log import record_audit_event\\n 8|from jarvis_finance.imports.common import stable_id, utc_now\\n 9|from jarvis_finance.quality.alerts import create_alert\\n 10|\\n 11|VALID_VERIFICATION_STATUS = {\\\"verified\\\", \\\"stale\\\", \\\"unverified\\\", \\\"estimated\\\"}\\n 12|\\n 13|\\n 14|@dataclass\\n 15|class CryptoHolding:\\n 16| wallet_id: str | None\\n 17| asset_id: str\\n 18| quantity: Decimal = Decimal(\\\"0\\\")\\n 19| verification_status: str = \\\"unverified\\\"\\n 20| last_verified_at: str | None = None\\n 21| legacy_snapshot_value_original: Decimal | None = None\\n 22| legacy_snapshot_value_chf: Decimal | None = None\\n 23| current_value_chf: Decimal | None = None\\n 24| quality_warnings: list[str] = field(default_factory=list)\\n 25|\\n 26|\\n 27|@dataclass\\n 28|class CryptoHoldingsResult:\\n 29| wallet_holdings: dict[tuple[str, str], CryptoHolding] = field(default_factory=dict)\\n 30| total_by_asset: dict[str, CryptoHolding] = field(default_factory=dict)\\n 31|\\n 32|\\n 33|def _d(value: object, default: str = \\\"0\\\") -> Decimal:\\n 34| if value is None or str(value).strip() == \\\"\\\":\\n 35| return Decimal(default)\\n 36| return Decimal(str(value))\\n 37|\\n 38|\\n 39|def _ds(value: Decimal | None) -> str | None:\\n 40| return format(value, \\\"f\\\") if value is not None else None\\n 41|\\n 42|\\n 43|def _ensure_holding(result: CryptoHoldingsResult, wallet_id: str, asset_id: str) -> CryptoHolding:\\n 44| return result.wallet_holdings.setdefault((wallet_id, asset_id), CryptoHolding(wallet_id=wallet_id, asset_id=asset_id))\\n 45|\\n 46|\\n 47|def _ensure_total(result: CryptoHoldingsResult, asset_id: str) -> CryptoHolding:\\n 48| return result.total_by_asset.setdefault(asset_id, CryptoHolding(wallet_id=None, asset_id=asset_id))\\n 49|\\n 50|\\n 51|def create_initial_holding_snapshot(\\n 52| conn: Connection,\\n 53| *,\\n 54| asset_id: str,\\n 55| wallet_id: str,\\n 56| quantity: Decimal,\\n 57| verification_status: str,\\n 58| note: str,\\n 59| last_verified_at: str | None = None,\\n 60| legacy_snapshot_value_original: Decimal | None = None,\\n 61| legacy_snapshot_value_chf: Decimal | None = None,\\n 62| legacy_snapshot_currency: str | None = None,\\n 63| legacy_snapshot_date: str | None = None,\\n 64|) -> str:\\n 65| if quantity < 0:\\n 66| raise ValueError(\\\"initial holding quantity must be >= 0\\\")\\n 67| if verification_status not in VALID_VERIFICATION_STATUS:\\n 68| raise ValueError(\\\"invalid verification_status\\\")\\n 69| if not note.strip():\\n 70| raise ValueError(\\\"initial holding snapshot requires a note\\\")\\n 71| now = utc_now()\\n 72| holding_id = stable_id(\\\"cryptoholding\\\", asset_id, wallet_id)\\n 73| conn.execute(\\n 74| \\\"\\\"\\\"\\n 75| INSERT OR REPLACE INTO crypto_holdings(\\n 76| crypto_holding_id, asset_id, wallet_id, quantity, acquisition_source,\\n 77| last_verified_at, verification_status, legacy_snapshot_value_original,\\n 78| legacy_snapshot_value_chf, legacy_snapshot_currency, legacy_snapshot_date,\\n 79| notes, created_at, updated_at\\n 80| ) VALUES (?, ?, ?, ?, 'initial_snapshot', ?, ?, ?, ?, ?, ?, ?,\\n 81| COALESCE((SELECT created_at FROM crypto_holdings WHERE crypto_holding_id=?), ?), ?)\\n 82| \\\"\\\"\\\",\\n 83| (\\n 84| holding_id, asset_id, wallet_id, _ds(quantity), last_verified_at, verification_status,\\n 85| _ds(legacy_snapshot_value_original),\\n 86| _ds(legacy_snapshot_value_chf),\\n 87| legacy_snapshot_currency, legacy_snapshot_date, note, holding_id, now, now,\\n 88| ),\\n 89| )\\n 90| record_audit_event(\\n 91| conn,\\n 92| source=\\\"crypto_holdings\\\",\\n 93| action=\\\"initial_crypto_holding_snapshot\\\",\\n 94| entity_type=\\\"crypto_holding\\\",\\n 95| entity_id=holding_id,\\n 96| new_values={\\\"asset_id\\\": asset_id, \\\"wallet_id\\\": wallet_id, \\\"quantity\\\": _ds(quantity), \\\"verification_status\\\": verification_status},\\n 97| user_text_note=note,\\n 98| confirmed=True,\\n 99| created_by=\\\"system\\\",\\n 100| )\\n 101| conn.commit()\\n 102| return holding_id\\n 103|\\n 104|\\n 105|def _apply_delta(result: CryptoHoldingsResult, wallet_id: str, asset_id: str, delta: Decimal) -> None:\\n 106| holding = _ensure_holding(result, wallet_id, asset_id)\\n 107| holding.quantity += delta\\n 108| total = _ensure_total(result, asset_id)\\n 109| total.quantity += delta\\n 110|\\n 111|\\n 112|def calculate_crypto_holdings(conn: Connection) -> CryptoHoldingsResult:\\n 113| result = CryptoHoldingsResult()\\n 114| for row in conn.execute(\\\"SELECT * FROM crypto_holdings ORDER BY wallet_id, asset_id\\\").fetchall():\\n 115| holding = _ensure_holding(result, row[\\\"wallet_id\\\"], row[\\\"asset_id\\\"])\\n 116| holding.quantity += _d(row[\\\"quantity\\\"])\\n 117| holding.verification_status = row[\\\"verification_status\\\"]\\n 118| holding.last_verified_at = row[\\\"last_verified_at\\\"]\\n 119| holding.legacy_snapshot_value_original = _d(row[\\\"legacy_snapshot_value_original\\\"]) if row[\\\"legacy_snapshot_value_original\\\"] is not None else None\\n 120| holding.legacy_snapshot_value_chf = _d(row[\\\"legacy_snapshot_value_chf\\\"]) if row[\\\"legacy_snapshot_value_chf\\\"] is not None else None\\n 121| total = _ensure_total(result, row[\\\"asset_id\\\"])\\n 122| total.quantity += _d(row[\\\"quantity\\\"])\\n 123| rows = conn.execute(\\\"SELECT * FROM crypto_transactions ORDER BY transaction_datetime, created_at, crypto_transaction_id\\\").fetchall()\\n 124| for row in rows:\\n 125| asset_id = row[\\\"asset_id\\\"]\\n 126| qty = _d(row[\\\"quantity\\\"])\\n 127| fee_qty = _d(row[\\\"fee_quantity\\\"])\\n 128| t = row[\\\"transaction_type\\\"]\\n 129| if t == \\\"transfer\\\":\\n 130| _apply_delta(result, row[\\\"from_wallet_id\\\"], asset_id, -(qty + fee_qty))\\n 131| _apply_delta(result, row[\\\"to_wallet_id\\\"], asset_id, qty)\\n 132| elif t == \\\"buy\\\":\\n 133| _apply_delta(result, row[\\\"to_wallet_id\\\"], asset_id, qty - fee_qty)\\n 134| elif t == \\\"sell\\\":\\n 135| _apply_delta(result, row[\\\"from_wallet_id\\\"], asset_id, -(qty + fee_qty))\\n 136| elif t == \\\"fee\\\":\\n 137| _apply_delta(result, row[\\\"from_wallet_id\\\"], asset_id, -fee_qty)\\n 138| for asset in conn.execute(\\\"SELECT asset_id, symbol, coingecko_id FROM crypto_assets\\\").fetchall():\\n 139| if not asset[\\\"coingecko_id\\\"]:\\n 140| msg = \\\"Crypto asset has no CoinGecko ID; current valuation is unavailable.\\\"\\n 141| for holding in [h for h in result.wallet_holdings.values() if h.asset_id == asset[\\\"asset_id\\\"]]:\\n 142| holding.quality_warnings.append(\\\"missing_coingecko_id\\\")\\n 143| create_alert(\\n 144| conn,\\n 145| priority=\\\"warnung\\\",\\n 146| category=\\\"crypto\\\",\\n 147| entity_type=\\\"crypto_asset\\\",\\n 148| entity_id=asset[\\\"asset_id\\\"],\\n 149| rule_id=\\\"missing_coingecko_id\\\",\\n 150| message=msg,\\n 151| evidence={\\\"symbol\\\": asset[\\\"symbol\\\"]},\\n 152| fingerprint=\\\"missing_coingecko_id\\\",\\n 153| )\\n 154| conn.commit()\\n 155| return result\\n 156|\", \"total_lines\": 155, \"file_size\": 6606, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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"content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|from decimal import Decimal\\n 4|from sqlite3 import Connection\\n 5|\\n 6|from jarvis_finance.audit.log import record_audit_event\\n 7|from jarvis_finance.imports.common import stable_id, utc_now\\n 8|from jarvis_finance.quality.alerts import create_alert\\n 9|\\n 10|from .holdings import calculate_crypto_holdings\\n 11|\\n 12|\\n 13|def _d(value: object, default: str = \\\"0\\\") -> Decimal:\\n 14| if value is None or str(value).strip() == \\\"\\\":\\n 15| return Decimal(default)\\n 16| return Decimal(str(value))\\n 17|\\n 18|\\n 19|def _ds(value: Decimal | None) -> str | None:\\n 20| return format(value, \\\"f\\\") if value is not None else None\\n 21|\\n 22|def _chf(value: Decimal, fx_rate_to_chf: Decimal | None) -> str | None:\\n 23| if fx_rate_to_chf is None:\\n 24| return None\\n 25| return _ds(value * fx_rate_to_chf)\\n 26|\\n 27|\\n 28|def _ensure_positive(quantity: Decimal) -> None:\\n 29| if quantity <= 0:\\n 30| raise ValueError(\\\"quantity must be > 0\\\")\\n 31|\\n 32|\\n 33|def _current_quantity(conn: Connection, wallet_id: str, asset_id: str) -> Decimal:\\n 34| result = calculate_crypto_holdings(conn)\\n 35| holding = result.wallet_holdings.get((wallet_id, asset_id))\\n 36| return holding.quantity if holding else Decimal(\\\"0\\\")\\n 37|\\n 38|\\n 39|def _critical_negative_alert(conn: Connection, wallet_id: str, asset_id: str, attempted: Decimal, available: Decimal) -> None:\\n 40| create_alert(\\n 41| conn,\\n 42| priority=\\\"kritisch\\\",\\n 43| category=\\\"crypto\\\",\\n 44| entity_type=\\\"crypto_wallet\\\",\\n 45| entity_id=wallet_id,\\n 46| rule_id=\\\"crypto_negative_wallet_balance\\\",\\n 47| message=\\\"Crypto transaction would create a negative wallet balance and was blocked.\\\",\\n 48| evidence={\\\"asset_id\\\": asset_id, \\\"attempted_delta\\\": str(attempted), \\\"available\\\": str(available)},\\n 49| )\\n 50| conn.commit()\\n 51|\\n 52|\\n 53|def _insert_crypto_transaction(\\n 54| conn: Connection,\\n 55| *,\\n 56| tx_type: str,\\n 57| asset_id: str,\\n 58| quantity: Decimal,\\n 59| from_wallet_id: str | None = None,\\n 60| to_wallet_id: str | None = None,\\n 61| transaction_id: str | None = None,\\n 62| price_original: Decimal | None = None,\\n 63| currency: str | None = None,\\n 64| gross_amount_original: Decimal | None = None,\\n 65| fee_quantity: Decimal | None = None,\\n 66| fee_original: Decimal | None = None,\\n 67| fee_currency: str | None = None,\\n 68| fx_rate_to_chf: Decimal | None = None,\\n 69| tx_hash: str | None = None,\\n 70| note: str | None = None,\\n 71|) -> str:\\n 72| now = utc_now()\\n 73| crypto_txid = stable_id(\\\"cryptotx\\\", tx_type, asset_id, quantity, from_wallet_id or \\\"\\\", to_wallet_id or \\\"\\\", now)\\n 74| conn.execute(\\n 75| \\\"\\\"\\\"\\n 76| INSERT INTO crypto_transactions(\\n 77| crypto_transaction_id, transaction_id, transaction_type, asset_id, quantity,\\n 78| price_original, currency_original, gross_amount_original, fee_quantity,\\n 79| fee_original, fee_currency, fx_rate_to_chf, amount_chf, from_wallet_id,\\n 80| to_wallet_id, transaction_datetime, tx_hash, source, confirmation_status,\\n 81| parse_confidence, notes, created_at\\n 82| ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, 'manual', 'confirmed', 1, ?, ?)\\n 83| \\\"\\\"\\\",\\n 84| (\\n 85| crypto_txid, transaction_id, tx_type, asset_id, _ds(quantity),\\n 86| _ds(price_original),\\n 87| currency, _ds(gross_amount_original),\\n 88| _ds(fee_quantity),\\n 89| _ds(fee_original),\\n 90| fee_currency, _ds(fx_rate_to_chf),\\n 91| _chf(gross_amount_original, fx_rate_to_chf) if gross_amount_original is not None else None,\\n 92| from_wallet_id, to_wallet_id, now, tx_hash, note, now,\\n 93| ),\\n 94| )\\n 95| return crypto_txid\\n 96|\\n 97|\\n 98|def _insert_ledger_transaction(\\n 99| conn: Connection,\\n 100| *,\\n 101| tx_type: str,\\n 102| account_id: str,\\n 103| source_id: str,\\n 104| gross_amount_original: Decimal,\\n 105| currency: str,\\n 106| fx_rate_to_chf: Decimal | None,\\n 107| note: str,\\n 108| fee_original: Decimal = Decimal(\\\"0\\\"),\\n 109|) -> str:\\n 110| now = utc_now()\\n 111| txid = stable_id(\\\"ledger\\\", \\\"crypto\\\", tx_type, account_id, source_id, gross_amount_original, fee_original)\\n 112| fx_status = \\\"ok\\\" if fx_rate_to_chf is not None else \\\"missing\\\"\\n 113| quality = \\\"ok\\\" if fx_rate_to_chf is not None else \\\"incomplete\\\"\\n 114| sign_net = gross_amount_original - fee_original if tx_type in {\\\"partial_sell\\\", \\\"full_sell\\\"} else gross_amount_original\\n 115| conn.execute(\\n 116| \\\"\\\"\\\"\\n 117| INSERT INTO transactions(\\n 118| transaction_id, transaction_type, account_id, trade_date, gross_amount_original,\\n 119| fee_original, net_amount_original, currency_original, fx_rate_to_chf, fx_status,\\n 120| gross_amount_chf, fee_chf, net_amount_chf, source_type, source_id,\\n 121| is_confirmed, quality_status, notes, created_at\\n 122| ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, 'crypto', ?, 1, ?, ?, ?)\\n 123| \\\"\\\"\\\",\\n 124| (\\n 125| txid, tx_type, account_id, now[:10], _ds(gross_amount_original), _ds(fee_original), _ds(sign_net),\\n 126| currency.upper(), _ds(fx_rate_to_chf), fx_status,\\n 127| _chf(gross_amount_original, fx_rate_to_chf), _chf(fee_original, fx_rate_to_chf), _chf(sign_net, fx_rate_to_chf),\\n 128| source_id, quality, note, now,\\n 129| ),\\n 130| )\\n 131| if fx_rate_to_chf is None and currency.upper() != \\\"CHF\\\":\\n 132| create_alert(\\n 133| conn,\\n 134| priority=\\\"kritisch\\\",\\n 135| category=\\\"crypto\\\",\\n 136| entity_type=\\\"transaction\\\",\\n 137| entity_id=txid,\\n 138| rule_id=\\\"missing_fx\\\",\\n 139| message=\\\"Crypto fiat ledger transaction is missing FX; CHF impact is incomplete.\\\",\\n 140| evidence={\\\"currency\\\": currency.upper(), \\\"source_id\\\": source_id},\\n 141| )\\n 142| return txid\\n 143|\\n 144|\\n 145|def _insert_fee_ledger(\\n 146| conn: Connection,\\n 147| *,\\n 148| account_id: str,\\n 149| source_id: str,\\n 150| fee_original: Decimal,\\n 151| fee_currency: str | None,\\n 152| fx_rate_to_chf: Decimal | None,\\n 153| note: str,\\n 154|) -> str | None:\\n 155| if fee_original <= 0:\\n 156| return None\\n 157| if not fee_currency:\\n 158| create_alert(\\n 159| conn,\\n 160| priority=\\\"warnung\\\",\\n 161| category=\\\"crypto\\\",\\n 162| entity_type=\\\"crypto_transaction\\\",\\n 163| entity_id=source_id,\\n 164| rule_id=\\\"crypto_fee_currency_unclear\\\",\\n 165| message=\\\"Crypto fiat fee currency is unclear; ledger fee is not created to avoid double counting.\\\",\\n 166| evidence={\\\"fee_original\\\": str(fee_original)},\\n 167| )\\n 168| return None\\n 169| return _insert_ledger_transaction(\\n 170| conn,\\n 171| tx_type=\\\"fee\\\",\\n 172| account_id=account_id,\\n 173| source_id=source_id,\\n 174| gross_amount_original=fee_original,\\n 175| currency=fee_currency,\\n 176| fx_rate_to_chf=fx_rate_to_chf,\\n 177| note=note,\\n 178| )\\n 179|\\n 180|\\n 181|def record_crypto_transfer(\\n 182| conn: Connection,\\n 183| *,\\n 184| asset_id: str,\\n 185| from_wallet_id: str,\\n 186| to_wallet_id: str,\\n 187| quantity: Decimal,\\n 188| fee_quantity: Decimal = Decimal(\\\"0\\\"),\\n 189| tx_hash: str | None = None,\\n 190| note: str,\\n 191|) -> str:\\n 192| _ensure_positive(quantity)\\n 193| if fee_quantity < 0:\\n 194| raise ValueError(\\\"fee_quantity must be >= 0\\\")\\n 195| if from_wallet_id == to_wallet_id:\\n 196| raise ValueError(\\\"source and target wallets must be different\\\")\\n 197| required = quantity + fee_quantity\\n 198| available = _current_quantity(conn, from_wallet_id, asset_id)\\n 199| if available < required:\\n 200| _critical_negative_alert(conn, from_wallet_id, asset_id, required, available)\\n 201| raise ValueError(\\\"negative wallet balance blocked\\\")\\n 202| crypto_txid = _insert_crypto_transaction(\\n 203| conn,\\n 204| tx_type=\\\"transfer\\\",\\n 205| asset_id=asset_id,\\n 206| quantity=quantity,\\n 207| fee_quantity=fee_quantity,\\n 208| from_wallet_id=from_wallet_id,\\n 209| to_wallet_id=to_wallet_id,\\n 210| tx_hash=tx_hash,\\n 211| note=note,\\n 212| )\\n 213| record_audit_event(\\n 214| conn,\\n 215| source=\\\"crypto_transactions\\\",\\n 216| action=\\\"crypto_transfer\\\",\\n 217| entity_type=\\\"crypto_transaction\\\",\\n 218| entity_id=crypto_txid,\\n 219| new_values={\\\"asset_id\\\": asset_id, \\\"from_wallet_id\\\": from_wallet_id, \\\"to_wallet_id\\\": to_wallet_id, \\\"quantity\\\": _ds(quantity), \\\"fee_quantity\\\": str(fee_quantity)},\\n 220| user_text_note=note,\\n 221|\", \"total_lines\": 365, \"file_size\": 12929, \"truncated\": true, \"hint\": \"Use offset=221 to continue reading (showing 1-220 of 365 lines)\", \"is_binary\": false, \"is_image\": false}",
"tool_call_id": "call_mZgfxZv7ISDH08p2OR8E8UxG"
},
{
"role": "tool",
"name": "read_file",
"content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|from sqlite3 import Connection, IntegrityError\\n 4|\\n 5|from jarvis_finance.audit.log import record_audit_event\\n 6|from jarvis_finance.imports.common import stable_id, utc_now\\n 7|from jarvis_finance.quality.alerts import create_alert\\n 8|\\n 9|\\n 10|def create_crypto_asset(\\n 11| conn: Connection,\\n 12| *,\\n 13| coin_name: str,\\n 14| symbol: str,\\n 15| coingecko_id: str | None = None,\\n 16| network_chain_default: str | None = None,\\n 17| is_stablecoin: bool = False,\\n 18| notes: str | None = None,\\n 19|) -> str:\\n 20| symbol = symbol.upper().strip()\\n 21| existing_symbol = conn.execute(\\\"SELECT asset_id FROM crypto_assets WHERE symbol=?\\\", (symbol,)).fetchone()\\n 22| asset_id = stable_id(\\\"cryptoasset\\\", coingecko_id or coin_name, symbol, network_chain_default or \\\"\\\")\\n 23| now = utc_now()\\n 24| try:\\n 25| conn.execute(\\n 26| \\\"\\\"\\\"\\n 27| INSERT INTO crypto_assets(\\n 28| asset_id, coin_name, symbol, coingecko_id, network_chain_default,\\n 29| is_stablecoin, price_provider_primary, is_active, notes, created_at\\n 30| ) VALUES (?, ?, ?, ?, ?, ?, 'CoinGecko', 1, ?, ?)\\n 31| \\\"\\\"\\\",\\n 32| (asset_id, coin_name, symbol, coingecko_id, network_chain_default, int(is_stablecoin), notes, now),\\n 33| )\\n 34| except IntegrityError as exc:\\n 35| raise ValueError(\\\"crypto asset uniqueness conflict; coingecko_id must be unique\\\") from exc\\n 36| if not coingecko_id:\\n 37| create_alert(\\n 38| conn,\\n 39| priority=\\\"warnung\\\",\\n 40| category=\\\"crypto\\\",\\n 41| entity_type=\\\"crypto_asset\\\",\\n 42| entity_id=asset_id,\\n 43| rule_id=\\\"missing_coingecko_id\\\",\\n 44| message=\\\"Crypto asset has no CoinGecko ID; valuation quality is incomplete.\\\",\\n 45| evidence={\\\"symbol\\\": symbol, \\\"coin_name\\\": coin_name},\\n 46| fingerprint=\\\"missing_coingecko_id\\\",\\n 47| )\\n 48| if existing_symbol:\\n 49| create_alert(\\n 50| conn,\\n 51| priority=\\\"warnung\\\",\\n 52| category=\\\"crypto\\\",\\n 53| entity_type=\\\"crypto_asset\\\",\\n 54| entity_id=asset_id,\\n 55| rule_id=\\\"crypto_symbol_conflict\\\",\\n 56| message=\\\"Crypto symbol is not unique; manual asset selection is required.\\\",\\n 57| evidence={\\\"symbol\\\": symbol, \\\"existing_asset_id\\\": existing_symbol[\\\"asset_id\\\"]},\\n 58| )\\n 59| record_audit_event(\\n 60| conn,\\n 61| source=\\\"crypto_assets\\\",\\n 62| action=\\\"create_crypto_asset\\\",\\n 63| entity_type=\\\"crypto_asset\\\",\\n 64| entity_id=asset_id,\\n 65| new_values={\\\"coin_name\\\": coin_name, \\\"symbol\\\": symbol, \\\"coingecko_id\\\": coingecko_id},\\n 66| confirmed=True,\\n 67| created_by=\\\"system\\\",\\n 68| )\\n 69| conn.commit()\\n 70| return asset_id\\n 71|\\n 72|\\n 73|def get_crypto_asset(conn: Connection, asset_id: str):\\n 74| row = conn.execute(\\\"SELECT * FROM crypto_assets WHERE asset_id=?\\\", (asset_id,)).fetchone()\\n 75| if row is None:\\n 76| raise KeyError(asset_id)\\n 77| return row\\n 78|\", \"total_lines\": 77, \"file_size\": 2834, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
"tool_call_id": "call_J4Da55IqeD1l7ZMzByLF2gcW"
},
{
"role": "assistant",
"content": "",
"reasoning": "**Fixing code issues**\n\nI need to address the note keyword and handle any imports that were previously unused. I'm wondering if I need to create an asset duplicate if the same connection is loaded repeatedly. It seems like tests should be set up once per connection. However, since `create_demo` might call the load twice, I’ll need to consider using an insert catch. \n\nAlso, the `get_crypto_overview` loop is mapping `total_by_asset` to `CryptoHolding`, which is causing an error. I must fix the `quantity` to reflect the holding object's quantity correctly.",
"finish_reason": "tool_calls",
"reasoning_content": "**Fixing code issues**\n\nI need to address the note keyword and handle any imports that were previously unused. I'm wondering if I need to create an asset duplicate if the same connection is loaded repeatedly. It seems like tests should be set up once per connection. However, since `create_demo` might call the load twice, I’ll need to consider using an insert catch. \n\nAlso, the `get_crypto_overview` loop is mapping `total_by_asset` to `CryptoHolding`, which is causing an error. I must fix the `quantity` to reflect the holding object's quantity correctly.",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqBhsOqFw9ORToS4-3118Zh4N3UrO8xttmVAF3M3UdYWd1z73lKLEDRCXioBkvFkGJwYbl3ana3mqpUB6L31RN2LmSlai8M2u7emv7WclkIe20qkLIp5v7FfvKYLhuYLTqKKwkUVbpYclA5A8XbxVYBZdkYjGatvHzm4C3QnfYJPjVYwpUuOhsX4Jo7eXBRBimtEIWpC73uRaV43KkCG2acBDGFnNSM46rr7b29iwep8yFaOalK3ebjkpt2KYpToDKfhM9n3fjACtg2nbCtZAw5nYduM0tKajffEwlrqQOivQUN5R_VXlIgOEEXCw0TnSR80b4q5A2auJI2kbm9Iav8-I3KAOkq6SMVs2sbfuF47rHpgymNI_0xqPT_ENmXET5EyQMJi_xCtmrvXUKvXwaVYVKSbxoOQ7Cxfnc07hiKEWS0x__juQRdvubEzTrinrPicdSWeR1cd759_R4Gz5l3nFNr5F25acxVTOxOl7iLr3quRn1ufGLA1FxvL60MZzdxLeUIt8GQTNWi5YqU2sQplLw86fWbdx46xJqnOV3Tr5wQfdEC-gT-FMQMkjuEcWqx6DDm6jvJJMevpWr6jIN4PcMV8MFwiF3WhR57vYBjDYv5N0I6LBJjS-bkQOT2NSakMqfgBtkdlCuh7m9OO-oD2meoJwDsyBpDQb8GawTtDQbyVUzQT9EkQGmEWlc9I9dfj5sNSzS_Z4B4uqXL2n6k2Ox_bsvswxpoTkc1NmkckCN5dQxEn6BDCIHUZvqXnoaqhd5E86kIDBTtxKDS-aRnPFKzFSTa5RfIHEa-SryGhdrBba1AfMebRty_qhJNcddT66wMoPRTegWpvggswwRl2yoB-Oo8koZtQPZQNwPMLC9tUJF9NI1STAU80hjX2qZANSxZiC8CPn_UvU9V3WGWTP9jq8Q3CIsDOCmZcOUdb53Chc24SoF1t13vY-sQzOGEsPfuc6gCgSSpirJihS5oEcWTj1QiNi6-0qJBW8nD1H_UCHRssclhbwXzDUsu1OOpylXdVjfXJl_lkYHb55P4LR_uV4oIoaEVoB2vtnMN_lTNnwMXp_jNgHJsDH5Qj7s-z7w1jb0rO_9IgqpJEKkpM4P9G8enGh_a7obxGeRUWRhynY1Azc_9E0gzl1pcjuYp_Ucj0hXL2ES0d7kcthtTPgk8pKumx5Bmdao7gxOYjISKb4bjE3yq6F2Gd8vjnpf_YcTtbJz0TE4-Ocu8yTu92xwW4z7k__2NGD53FBtQmtGeFVuOembnIFCthSE3gbDK6hpmrMRt_umy6LtRvfBmRqr7MNXGdDgo3KpWSJvgrCmDfEZBLcvCx7cVX3Wr-Fyb4ys0F0S2_Ped1k_c-qTuYWJkPXuNg9IBtlYHo8QkClwJkBy0jpuavwgFRuhUbt3W9-WWXjttAkV6thcVI9nXqSO8Nh3hUKu01-CrKH_lQGyqkEazLQAi-Gu6Qm2zX1cWnZm6qWu59m269bpGeoIMzGgPSPBvnUxqCXm21DoREp__k8QY8KoDaPSMYmtcTTsOl29PCmhI8gHyexRpZK0BOQobhllJBaU_SaK69JazibVtfnls99FITALdt06efxlBD-QCdl28cibXLFvxCOZxVBKOyveKZYzcLd9mMzzOuLuQz8=",
"id": "rs_002041bba6e51fe5016a061b0257808191ad778edcbf45f18a",
"summary": [
{
"type": "summary_text",
"text": "**Fixing code issues**\n\nI need to address the note keyword and handle any imports that were previously unused. I'm wondering if I need to create an asset duplicate if the same connection is loaded repeatedly. It seems like tests should be set up once per connection. However, since `create_demo` might call the load twice, I’ll need to consider using an insert catch. \n\nAlso, the `get_crypto_overview` loop is mapping `total_by_asset` to `CryptoHolding`, which is causing an error. I must fix the `quantity` to reflect the holding object's quantity correctly."
}
]
}
],
"tool_calls": [
{
"id": "call_MrxYaCtQwc2XIFduETzis1lx",
"call_id": "call_MrxYaCtQwc2XIFduETzis1lx",
"response_item_id": "fc_002041bba6e51fe5016a061b0e93dc8191b54593380a919be7",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/demo_data.py\",\"old_string\":\"create_initial_holding_snapshot(conn, asset_id=btc, wallet_id=ledger[\\\"wallet_id\\\"], quantity=Decimal(\\\"0.10\\\"), verification_status=\\\"verified\\\", last_verified_at=\\\"2026-01-31T12:00:00Z\\\", notes=\\\"Synthetischer Bestand\\\")\",\"new_string\":\"create_initial_holding_snapshot(conn, asset_id=btc, wallet_id=ledger[\\\"wallet_id\\\"], quantity=Decimal(\\\"0.10\\\"), verification_status=\\\"verified\\\", last_verified_at=\\\"2026-01-31T12:00:00Z\\\", note=\\\"Synthetischer Bestand\\\")\"}"
}
},
{
"id": "call_K5CXQRINEbQni1eOXHotoRLR",
"call_id": "call_K5CXQRINEbQni1eOXHotoRLR",
"response_item_id": "fc_002041bba6e51fe5016a061b0e93f48191bc2ec6ef8005e324",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/demo_data.py\",\"old_string\":\"create_initial_holding_snapshot(conn, asset_id=eth, wallet_id=kraken[\\\"wallet_id\\\"], quantity=Decimal(\\\"1.50\\\"), verification_status=\\\"verified\\\", last_verified_at=\\\"2026-01-31T12:00:00Z\\\", notes=\\\"Synthetischer Bestand\\\")\",\"new_string\":\"create_initial_holding_snapshot(conn, asset_id=eth, wallet_id=kraken[\\\"wallet_id\\\"], quantity=Decimal(\\\"1.50\\\"), verification_status=\\\"verified\\\", last_verified_at=\\\"2026-01-31T12:00:00Z\\\", note=\\\"Synthetischer Bestand\\\")\"}"
}
},
{
"id": "call_SIYE9xk3Nq63vYGoRf0DtDIJ",
"call_id": "call_SIYE9xk3Nq63vYGoRf0DtDIJ",
"response_item_id": "fc_002041bba6e51fe5016a061b0e93fc8191a3bc50d007e5c479",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/ demo_data.py\",\"old_string\":\"record_crypto_transfer(conn, asset_id=btc, from_wallet_id=ledger[\\\"wallet_id\\\"], to_wallet_id=kraken[\\\"wallet_id\\\"], quantity=Decimal(\\\"0.01\\\"), fee_quantity=Decimal(\\\"0.0001\\\"), tx_hash=\\\"synthetic_demo_hash_001\\\", notes=\\\"Synthetischer Transfer\\\")\",\"new_string\":\"record_crypto_transfer(conn, asset_id=btc, from_wallet_id=ledger[\\\"wallet_id\\\"], to_wallet_id=kraken[\\\"wallet_id\\\"], quantity=Decimal(\\\"0.01\\\"), fee_quantity=Decimal(\\\"0.0001\\\"), tx_hash=\\\"synthetic_demo_hash_001\\\", note=\\\"Synthetischer Transfer\\\")\"}"
}
}
]
},
{
"role": "tool",
"name": "patch",
"content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/demo_data.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/demo_data.py\\n@@ -53,7 +53,7 @@\\n ledger = conn.execute(\\\"SELECT wallet_id FROM crypto_wallets WHERE wallet_name='Ledger Demo'\\\").fetchone()\\n kraken = conn.execute(\\\"SELECT wallet_id FROM crypto_wallets WHERE wallet_name='Kraken Demo'\\\").fetchone()\\n if ledger and not conn.execute(\\\"SELECT 1 FROM crypto_holdings WHERE wallet_id=? AND asset_id=?\\\", (ledger[\\\"wallet_id\\\"], btc)).fetchone():\\n- create_initial_holding_snapshot(conn, asset_id=btc, wallet_id=ledger[\\\"wallet_id\\\"], quantity=Decimal(\\\"0.10\\\"), verification_status=\\\"verified\\\", last_verified_at=\\\"2026-01-31T12:00:00Z\\\", notes=\\\"Synthetischer Bestand\\\")\\n+ create_initial_holding_snapshot(conn, asset_id=btc, wallet_id=ledger[\\\"wallet_id\\\"], quantity=Decimal(\\\"0.10\\\"), verification_status=\\\"verified\\\", last_verified_at=\\\"2026-01-31T12:00:00Z\\\", note=\\\"Synthetischer Bestand\\\")\\n if kraken and not conn.execute(\\\"SELECT 1 FROM crypto_holdings WHERE wallet_id=? AND asset_id=?\\\", (kraken[\\\"wallet_id\\\"], eth)).fetchone():\\n create_initial_holding_snapshot(conn, asset_id=eth, wallet_id=kraken[\\\"wallet_id\\\"], quantity=Decimal(\\\"1.50\\\"), verification_status=\\\"verified\\\", last_verified_at=\\\"2026-01-31T12:00:00Z\\\", notes=\\\"Synthetischer Bestand\\\")\\n if ledger and kraken and not conn.execute(\\\"SELECT 1 FROM crypto_transactions WHERE tx_hash='synthetic_demo_hash_001'\\\").fetchone():\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/demo_data.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_MrxYaCtQwc2XIFduETzis1lx"
},
{
"role": "tool",
"name": "patch",
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"content": "{\"content\": \" 1|[build-system]\\n 2|requires = [\\\"setuptools>=68\\\"]\\n 3|build-backend = \\\"setuptools.build_meta\\\"\\n 4|\\n 5|[project]\\n 6|name = \\\"jarvis-finance\\\"\\n 7|version = \\\"0.1.0\\\"\\n 8|description = \\\"JARVIS Finance System MVP - code, docs and synthetic fixtures only\\\"\\n 9|requires-python = \\\">=3.11\\\"\\n 10|dependencies = []\\n 11|\\n 12|[project.optional-dependencies]\\n 13|dev = [\\\"pytest>=8\\\", \\\"ruff>=0.5\\\"]\\n 14|dashboard = [\\\"streamlit\\\", \\\"pandas\\\", \\\"plotly\\\"]\\n 15|reports = [\\\"jinja2\\\"]\\n 16|\\n 17|[tool.pytest.ini_options]\\n 18|testpaths = [\\\"tests\\\"]\\n 19|pythonpath = [\\\"src\\\"]\\n 20|\\n 21|[tool.ruff]\\n 22|line-length = 100\\n 23|src = [\\\"src\\\", \\\"tests\\\"]\\n 24|\", \"total_lines\": 23, \"file_size\": 523, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
"tool_call_id": "call_qtSnPUJNAbe7kyYp8BfDXzZl"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
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],
"tool_calls": [
{
"id": "call_UmvMK93bfJXVvQd4Hxv5Uobq",
"call_id": "call_UmvMK93bfJXVvQd4Hxv5Uobq",
"response_item_id": "fc_002041bba6e51fe5016a061b4658908191b61a228f516757bd",
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"function": {
"name": "terminal",
"arguments": "{\"command\":\"set -e\\nfind . -type d \\\\( -name __pycache__ -o -name .pytest_cache \\\\) -exec rm -rf {} +\\nPYTHONPATH=src python -m compileall src tests\\nPYTHONPATH=src pytest tests -q\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
}
}
]
},
{
"role": "tool",
"name": "terminal",
"content": "{\"output\": \"Listing 'src'...\\nListing 'src/jarvis_finance'...\\nCompiling 'src/jarvis_finance/__init__.py'...\\nCompiling 'src/jarvis_finance/app.py'...\\nListing 'src/jarvis_finance/audit'...\\nCompiling 'src/jarvis_finance/audit/__init__.py'...\\nCompiling 'src/jarvis_finance/audit/decorators.py'...\\nCompiling 'src/jarvis_finance/audit/log.py'...\\nCompiling 'src/jarvis_finance/audit/validators.py'...\\nListing 'src/jarvis_finance/cli'...\\nCompiling 'src/jarvis_finance/cli/__init__.py'...\\nCompiling 'src/jarvis_finance/cli/main.py'...\\nListing 'src/jarvis_finance/config'...\\nCompiling 'src/jarvis_finance/config/__init__.py'...\\nCompiling 'src/jarvis_finance/config/logging.py'...\\nCompiling 'src/jarvis_finance/config/paths.py'...\\nCompiling 'src/jarvis_finance/config/settings.py'...\\nListing 'src/jarvis_finance/crypto'...\\nCompiling 'src/jarvis_finance/crypto/__init__.py'...\\nCompiling 'src/jarvis_finance/crypto/assets.py'...\\nCompiling 'src/jarvis_finance/crypto/holdings.py'...\\nCompiling 'src/jarvis_finance/crypto/transactions.py'...\\nCompiling 'src/jarvis_finance/crypto/validators.py'...\\nCompiling 'src/jarvis_finance/crypto/valuation.py'...\\nCompiling 'src/jarvis_finance/crypto/wallets.py'...\\nListing 'src/jarvis_finance/dashboard'...\\nCompiling 'src/jarvis_finance/dashboard/__init__.py'...\\nListing 'src/jarvis_finance/dashboard/components'...\\nCompiling 'src/jarvis_finance/dashboard/components/__init__.py'...\\nCompiling 'src/jarvis_finance/dashboard/components/charts.py'...\\nCompiling 'src/jarvis_finance/dashboard/components/forms.py'...\\nCompiling 'src/jarvis_finance/dashboard/components/tables.py'...\\nCompiling 'src/jarvis_finance/dashboard/components/warnings.py'...\\nCompiling 'src/jarvis_finance/dashboard/data.py'...\\nCompiling 'src/jarvis_finance/dashboard/demo_data.py'...\\nCompiling 'src/jarvis_finance/dashboard/main.py'...\\nListing 'src/jarvis_finance/dashboard/pages'...\\nCompiling 'src/jarvis_finance/dashboard/pages/00_command_center.py'...\\nCompiling 'src/jarvis_finance/dashboard/pages/01_portfolio.py'...\\nCompiling 'src/jarvis_finance/dashboard/pages/02_platforms.py'...\\nCompiling 'src/jarvis_finance/dashboard/pages/03_equities_etfs.py'...\\nCompiling 'src/jarvis_finance/dashboard/pages/04_crypto.py'...\\nCompiling 'src/jarvis_finance/dashboard/pages/05_wallets.py'...\\nCompiling 'src/jarvis_finance/dashboard/pages/06_ledger.py'...\\nCompiling 'src/jarvis_finance/dashboard/pages/07_watchlist.py'...\\nCompiling 'src/jarvis_finance/dashboard/pages/08_reports.py'...\\nCompiling 'src/jarvis_finance/dashboard/pages/09_alerts.py'...\\nCompiling 'src/jarvis_finance/dashboard/pages/10_audit.py'...\\nCompiling 'src/jarvis_finance/dashboard/pages/11_settings_data_quality.py'...\\nCompiling 'src/jarvis_finance/dashboard/pages/__init__.py'...\\nCompiling 'src/jarvis_finance/dashboard/pages/page_00_command_center.py'...\\nCompiling 'src/jarvis_finance/dashboard/pages/page_01_portfolio.py'...\\nCompiling 'src/jarvis_finance/dashboard/pages/page_02_platforms.py'...\\nCompiling 'src/jarvis_finance/dashboard/pages/page_03_equities_etfs.py'...\\nCompiling 'src/jarvis_finance/dashboard/pages/page_04_crypto.py'...\\nCompiling 'src/jarvis_finance/dashboard/pages/page_05_wallets.py'...\\nCompiling 'src/jarvis_finance/dashboard/pages/page_06_ledger.py'...\\nCompiling 'src/jarvis_finance/dashboard/pages/page_07_watchlist.py'...\\nCompiling 'src/jarvis_finance/dashboard/pages/page_08_reports.py'...\\nCompiling 'src/jarvis_finance/dashboard/pages/page_09_alerts.py'...\\nCompiling 'src/jarvis_finance/dashboard/pages/page_10_audit.py'...\\nCompiling 'src/jarvis_finance/dashboard/pages/page_11_settings_data_quality.py'...\\nListing 'src/jarvis_finance/fx'...\\nCompiling 'src/jarvis_finance/fx/__init__.py'...\\nCompiling 'src/jarvis_finance/fx/conversion.py'...\\nCompiling 'src/jarvis_finance/fx/overrides.py'...\\nCompiling 'src/jarvis_finance/fx/providers.py'...\\nCompiling 'src/jarvis_finance/fx/rates.py'...\\nListing 'src/jarvis_finance/imports'...\\nCompiling 'src/jarvis_finance/imports/__init__.py'...\\nCompiling 'src/jarvis_finance/imports/accounts_importer.py'...\\nCompiling 'src/jarvis_finance/imports/cash_balances_importer.py'...\\nCompiling 'src/jarvis_finance/imports/common.py'...\\nCompiling 'src/jarvis_finance/imports/crypto_holdings_importer.py'...\\nCompiling 'src/jarvis_finance/imports/crypto_transactions_importer.py'...\\nCompiling 'src/jarvis_finance/imports/crypto_wallets_importer.py'...\\nCompiling 'src/jarvis_finance/imports/csv_dialect.py'...\\nCompiling 'src/jarvis_finance/imports/dry_run.py'...\\nCompiling 'src/jarvis_finance/imports/instruments_importer.py'...\\nCompiling 'src/jarvis_finance/imports/row_hash.py'...\\nCompiling 'src/jarvis_finance/imports/transactions_importer.py'...\\nCompiling 'src/jarvis_finance/imports/validators.py'...\\nCompiling 'src/jarvis_finance/imports/watchlist_importer.py'...\\nListing 'src/jarvis_finance/ledger'...\\nCompiling 'src/jarvis_finance/ledger/__init__.py'...\\nCompiling 'src/jarvis_finance/ledger/cash.py'...\\nCompiling 'src/jarvis_finance/ledger/cost_basis.py'...\\nCompiling 'src/jarvis_finance/ledger/performance.py'...\\nCompiling 'src/jarvis_finance/ledger/positions.py'...\\nCompiling 'src/jarvis_finance/ledger/transactions.py'...\\nCompiling 'src/jarvis_finance/ledger/validators.py'...\\nListing 'src/jarvis_finance/market'...\\nCompiling 'src/jarvis_finance/market/__init__.py'...\\nCompiling 'src/jarvis_finance/market/providers.py'...\\nListing 'src/jarvis_finance/market_data'...\\nCompiling 'src/jarvis_finance/market_data/__init__.py'...\\nCompiling 'src/jarvis_finance/market_data/cache.py'...\\nCompiling 'src/jarvis_finance/market_data/coingecko.py'...\\nCompiling 'src/jarvis_finance/market_data/providers.py'...\\nCompiling 'src/jarvis_finance/market_data/staleness.py'...\\nListing 'src/jarvis_finance/models'...\\nCompiling 'src/jarvis_finance/models/__init__.py'...\\nCompiling 'src/jarvis_finance/models/datatypes.py'...\\nCompiling 'src/jarvis_finance/models/dto.py'...\\nCompiling 'src/jarvis_finance/models/enums.py'...\\nListing 'src/jarvis_finance/quality'...\\nCompiling 'src/jarvis_finance/quality/__init__.py'...\\nCompiling 'src/jarvis_finance/quality/alerts.py'...\\nCompiling 'src/jarvis_finance/quality/checks.py'...\\nCompiling 'src/jarvis_finance/quality/git_safety.py'...\\nCompiling 'src/jarvis_finance/quality/rules.py'...\\nListing 'src/jarvis_finance/reports'...\\nCompiling 'src/jarvis_finance/reports/__init__.py'...\\nCompiling 'src/jarvis_finance/reports/crypto_pdf.py'...\\nCompiling 'src/jarvis_finance/reports/metadata.py'...\\nCompiling 'src/jarvis_finance/reports/render.py'...\\nListing 'src/jarvis_finance/reports/templates'...\\nCompiling 'src/jarvis_finance/reports/templates/__init__.py'...\\nListing 'src/jarvis_finance/storage'...\\nCompiling 'src/jarvis_finance/storage/__init__.py'...\\nCompiling 'src/jarvis_finance/storage/database.py'...\\nCompiling 'src/jarvis_finance/storage/migrations.py'...\\nCompiling 'src/jarvis_finance/storage/repositories.py'...\\nCompiling 'src/jarvis_finance/storage/schema.py'...\\nCompiling 'src/jarvis_finance/storage/units_of_work.py'...\\nListing 'tests'...\\nCompiling 'tests/conftest.py'...\\nListing 'tests/fixtures'...\\nListing 'tests/integration'...\\nCompiling 'tests/integration/test_dummy_data_load.py'...\\nCompiling 'tests/integration/test_end_to_end_dummy_portfolio.py'...\\nListing 'tests/unit'...\\nCompiling 'tests/unit/test_audit.py'...\\nCompiling 'tests/unit/test_coingecko_provider.py'...\\nCompiling 'tests/unit/test_crypto.py'...\\nCompiling 'tests/unit/test_crypto_core.py'...\\nCompiling 'tests/unit/test_csv_importers_extended.py'...\\nCompiling 'tests/unit/test_dashboard_mvp.py'...\\nCompiling 'tests/unit/test_fx.py'...\\nCompiling 'tests/unit/test_fx_logic.py'...\\nCompiling 'tests/unit/test_git_safety.py'...\\nCompiling 'tests/unit/test_importers_instruments.py'...\\nCompiling 'tests/unit/test_importers_platforms_accounts.py'...\\nCompiling 'tests/unit/test_imports.py'...\\nCompiling 'tests/unit/test_ledger_cash.py'...\\nCompiling 'tests/unit/test_ledger_cash_wac_positions.py'...\\nCompiling 'tests/unit/test_ledger_equities.py'...\\nCompiling 'tests/unit/test_market_alerts.py'...\\nCompiling 'tests/unit/test_quality.py'...\\nCompiling 'tests/unit/test_row_hash_dedup.py'...\\nCompiling 'tests/unit/test_schema.py'...\\nCompiling 'tests/unit/test_settings.py'...\\nCompiling 'tests/unit/test_transactions_importer.py'...\\n........................................................................ [ 97%]\\n.. [100%]\\n74 passed in 0.30s\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_UmvMK93bfJXVvQd4Hxv5Uobq"
},
{
"role": "assistant",
"content": "",
"reasoning": "**Inspecting files for redundancy**\n\nI see that there are old numeric pages and new duplicates. I should check the old files that might be coming from the skeleton project, but they could be redundant. I want to ensure I have Git safety in place, especially since I’ll block __pycache__ from committing. However, I need to consider if the path includes raw CSV fixtures, which seem to be allowed. Okay, I need to run a safety check.",
"finish_reason": "tool_calls",
"reasoning_content": "**Inspecting files for redundancy**\n\nI see that there are old numeric pages and new duplicates. I should check the old files that might be coming from the skeleton project, but they could be redundant. I want to ensure I have Git safety in place, especially since I’ll block __pycache__ from committing. However, I need to consider if the path includes raw CSV fixtures, which seem to be allowed. Okay, I need to run a safety check.",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqBhtMoKVyCvkiCCZHEeF7AUMC56awbLGrCDbvoMszeoCJT0t6Cca1fbDDWuIZfxGpOjODgxej8gEbXUphCJLls9n-vrDOSJY28Bk66rbfbM76R9F82bCMGj1Z5mVaOG2XTTPJvZFSrUHDwhU_fpZqQ6eLVHYjQckZ3z3gqZzTYi9N0bukwiW3ZwytN0ekqWsvmfctlQ8mhm3ddFatPGqeGKpcH_aY5ztVse9BGuX3j5xPCcy2iOIzFaT6ivsbthEiX3S3z_LguX8qEANdmjHodN2UwiKs8IB6aAVYsZmTh6sdlIVSlKboXQv5oqsuMTkRd77Yh51JAOF9YEgAJyAHRD3QZlz2UDYeyeFVJG44pW8FVxweGnWRiRnR7n9N8LrbC_TllAPNBpHzo5CbC5QYTYBGTZO26modDRbUkxYS28rvblLt8JXKdIhgkKCuaZcAkcohJHIVjwzEZRwLNhvapWxUtrsgYvjt_VzpAYfAQIGoBhxkq-0ZMH_wmQVIZRYr0G7vrog5zQ2E51lfGZClPkHtkqBTHAb7NzJ0sQXtpDKdAkJbP1DJnZkYUxUwO95eJ3vj8tcQ5JEavKxOBA5q5c78Hv__wbHwBjBDDjSTDWXhrDEydVt-QIgQmenpVeH1caFNr3LfGK3KFhCSkDbSDRrHPPDKW9wkBSOjpMAVQS5TZgW76lTtxszf-lOKlU5G6c3XcOusZS8YSb3QGqhe0c7mK_6RuyKjyy2SPDof_Pbkg7u633pmWRVFGph6S01F1wV-JgVW0BUUA-gj16Ifu5AMWXZeuyNT3-VkBNwqRZ_9GrmNyjdDvnEH7uxGel9-CeeQq_3kuyWt2CqB5NteONZdpH4A6HM8nnRMWfdYov0krXXMCDoduIcQ-_Z2T8XmZSTSr_ts_1JOgXNWBBFBZqKhVWtCcOsFW4qE_D7o09O9BjUm2l7chGBztMMBc88sopydDtmC1Aqf4uqBGppXvIXXRTWG16IVlN0_fg6d50UvhPrcjKSaj6nOExl3G-IB05G9P5JKdSRi9fdWZ3rJBc03rcABhrMJYD_p-DIX6He0KQ2SIRoRRzzqaGu5BpMtpH6nSLR9fxi71LYCktjamHm86c9f51MqQQZ8K6UoJXq3ZcZMTJN7XhDhLT04hY6TOQXyh9Gg64b5B5sRueU3QMzezho6_KT1JVmfuorXt0y9QTbeAWQwUHMVlTA3ruRH8X1-etktl_4rkwkTFlb4pJqGUZ1F-qIgOvAAG1mG14ZolMg=",
"id": "rs_002041bba6e51fe5016a061b49e85c819193c14b46451f874f",
"summary": [
{
"type": "summary_text",
"text": "**Inspecting files for redundancy**\n\nI see that there are old numeric pages and new duplicates. I should check the old files that might be coming from the skeleton project, but they could be redundant. I want to ensure I have Git safety in place, especially since I’ll block __pycache__ from committing. However, I need to consider if the path includes raw CSV fixtures, which seem to be allowed. Okay, I need to run a safety check."
}
]
}
],
"tool_calls": [
{
"id": "call_eXo03SEHEeggHDRNlbKrXlri",
"call_id": "call_eXo03SEHEeggHDRNlbKrXlri",
"response_item_id": "fc_002041bba6e51fe5016a061b4c59d08191a9c2a09abd5f3781",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"set -e\\nfind . -type d \\\\( -name __pycache__ -o -name .pytest_cache \\\\) -exec rm -rf {} +\\nPYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\\ngit status --short\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
}
}
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},
{
"role": "tool",
"name": "terminal",
"content": "{\"output\": \"GIT_SAFETY_OK\\n M src/jarvis_finance/app.py\\n M src/jarvis_finance/dashboard/components/tables.py\\n M src/jarvis_finance/dashboard/components/warnings.py\\n M src/jarvis_finance/dashboard/main.py\\n M src/jarvis_finance/dashboard/pages/__init__.py\\n?? src/jarvis_finance/dashboard/data.py\\n?? src/jarvis_finance/dashboard/demo_data.py\\n?? src/jarvis_finance/dashboard/pages/page_00_command_center.py\\n?? src/jarvis_finance/dashboard/pages/page_01_portfolio.py\\n?? src/jarvis_finance/dashboard/pages/page_02_platforms.py\\n?? src/jarvis_finance/dashboard/pages/page_03_equities_etfs.py\\n?? src/jarvis_finance/dashboard/pages/page_04_crypto.py\\n?? src/jarvis_finance/dashboard/pages/page_05_wallets.py\\n?? src/jarvis_finance/dashboard/pages/page_06_ledger.py\\n?? src/jarvis_finance/dashboard/pages/page_07_watchlist.py\\n?? src/jarvis_finance/dashboard/pages/page_08_reports.py\\n?? src/jarvis_finance/dashboard/pages/page_09_alerts.py\\n?? src/jarvis_finance/dashboard/pages/page_10_audit.py\\n?? src/jarvis_finance/dashboard/pages/page_11_settings_data_quality.py\\n?? tests/unit/test_dashboard_mvp.py\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_eXo03SEHEeggHDRNlbKrXlri"
},
{
"role": "assistant",
"content": "",
"reasoning": "**Verifying Git Safety**\n\nI'm thinking about verifying that there's no real data involved in this push. Since the git safety checks have passed, it should be good to use the same GOG token method. I might need to retrieve something. I could also use the previous script with Drive to assist. I'll check the remotes and see if using git push with credentials will work for the first commit. It's all a bit tangled, but I'm getting there!",
"finish_reason": "tool_calls",
"reasoning_content": "**Verifying Git Safety**\n\nI'm thinking about verifying that there's no real data involved in this push. Since the git safety checks have passed, it should be good to use the same GOG token method. I might need to retrieve something. I could also use the previous script with Drive to assist. I'll check the remotes and see if using git push with credentials will work for the first commit. It's all a bit tangled, but I'm getting there!",
"codex_reasoning_items": [
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"text": "**Verifying Git Safety**\n\nI'm thinking about verifying that there's no real data involved in this push. Since the git safety checks have passed, it should be good to use the same GOG token method. I might need to retrieve something. I could also use the previous script with Drive to assist. I'll check the remotes and see if using git push with credentials will work for the first commit. It's all a bit tangled, but I'm getting there!"
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"content": "{\"output\": \"src/jarvis_finance/app.py | 7 ++-\\n src/jarvis_finance/dashboard/components/tables.py | 6 ++\\n .../dashboard/components/warnings.py | 3 +\\n src/jarvis_finance/dashboard/main.py | 69 ++++++++++++++++++++++\\n src/jarvis_finance/dashboard/pages/__init__.py | 29 +++++++++\\n 5 files changed, 111 insertions(+), 3 deletions(-)\\nGIT_SAFETY_OK\\n[main c5ce71b] feat: add streamlit dashboard MVP\\n 20 files changed, 812 insertions(+), 3 deletions(-)\\n create mode 100644 src/jarvis_finance/dashboard/data.py\\n create mode 100644 src/jarvis_finance/dashboard/demo_data.py\\n create mode 100644 src/jarvis_finance/dashboard/pages/page_00_command_center.py\\n create mode 100644 src/jarvis_finance/dashboard/pages/page_01_portfolio.py\\n create mode 100644 src/jarvis_finance/dashboard/pages/page_02_platforms.py\\n create mode 100644 src/jarvis_finance/dashboard/pages/page_03_equities_etfs.py\\n create mode 100644 src/jarvis_finance/dashboard/pages/page_04_crypto.py\\n create mode 100644 src/jarvis_finance/dashboard/pages/page_05_wallets.py\\n create mode 100644 src/jarvis_finance/dashboard/pages/page_06_ledger.py\\n create mode 100644 src/jarvis_finance/dashboard/pages/page_07_watchlist.py\\n create mode 100644 src/jarvis_finance/dashboard/pages/page_08_reports.py\\n create mode 100644 src/jarvis_finance/dashboard/pages/page_09_alerts.py\\n create mode 100644 src/jarvis_finance/dashboard/pages/page_10_audit.py\\n create mode 100644 src/jarvis_finance/dashboard/pages/page_11_settings_data_quality.py\\n create mode 100644 tests/unit/test_dashboard_mvp.py\", \"exit_code\": 0, \"error\": null}",
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"content": "{\"output\": \"fatal: cannot exec '/tmp/tmp.8Zla6FfwSB/askpass.sh': Datei oder Verzeichnis nicht gefunden\\nfatal: could not read Username for 'https://github.com': terminal prompts disabled\", \"exit_code\": 128, \"error\": null}",
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"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 \\\"
Q4
Details...
\\\" --html\\n$GAPI gmail send --to user@example.com --subject \\\"Hello\\\" --from '\\\"Research Agent\\\" ' --body \\\"Message text\\\"\\n\\n# Reply (automatically threads and sets In-Reply-To)\\n$GAPI gmail reply MESSAGE_ID --body \\\"Thanks, that works for me.\\\"\\n$GAPI gmail reply MESSAGE_ID --from '\\\"Support Bot\\\" ' --body \\\"Thanks\\\"\\n\\n# Labels\\n$GAPI gmail labels\\n$GAPI gmail modify MESSAGE_ID --add-labels LABEL_ID\\n$GAPI gmail modify MESSAGE_ID --remove-labels UNREAD\\n```\\n\\n### Calendar\\n\\n```bash\\n# List events (defaults to next 7 days)\\n$GAPI calendar list\\n$GAPI calendar list --start 2026-03-01T00:00:00Z --end 2026-03-07T23:59:59Z\\n\\n# Create event (ISO 8601 with timezone required)\\n$GAPI calendar create --summary \\\"Team Standup\\\" --start 2026-03-01T10:00:00-06:00 --end 2026-03-01T10:30:00-06:00\\n$GAPI calendar create --summary \\\"Lunch\\\" --start 2026-03-01T12:00:00Z --end 2026-03-01T13:00:00Z --location \\\"Cafe\\\"\\n$GAPI calendar create --summary \\\"Review\\\" --start 2026-03-01T14:00:00Z --end 2026-03-01T15:00:00Z --attendees \\\"alice@co.com,bob@co.com\\\"\\n\\n# Delete event\\n$GAPI calendar delete EVENT_ID\\n```\\n\\n### Drive\\n\\n```bash\\n# Search existing files\\n$GAPI drive search \\\"quarterly report\\\" --max 10\\n$GAPI drive search \\\"mimeType='application/pdf'\\\" --raw-query --max 5\\n\\n# Get metadata for a single file\\n$GAPI drive get FILE_ID\\n\\n# Upload a local file (auto-detects MIME type)\\n$GAPI drive upload /path/to/report.pdf\\n$GAPI drive upload /path/to/image.png --name \\\"Logo.png\\\" --parent FOLDER_ID\\n\\n# Download (binary files download as-is; Google-native files export to a\\n# sensible default — Docs→pdf, Sheets→csv, Slides→pdf, Drawings→png)\\n$GAPI drive download FILE_ID\\n$GAPI drive download DOC_ID --output ~/doc.pdf\\n$GAPI drive download DOC_ID --export-mime text/plain --output ~/doc.txt\\n\\n# Create a folder\\n$GAPI drive create-folder \\\"Reports\\\"\\n$GAPI drive create-folder \\\"Q4\\\" --parent FOLDER_ID\\n\\n# Share\\n$GAPI drive share FILE_ID --email alice@example.com --role reader\\n$GAPI drive share FILE_ID --email alice@example.com --role writer --notify\\n$GAPI drive share FILE_ID --type anyone --role reader # anyone with link\\n$GAPI drive share FILE_ID --type domain --domain example.com --role reader\\n\\n# Delete — defaults to trash (reversible). Use --permanent to skip the trash.\\n$GAPI drive delete FILE_ID\\n$GAPI drive delete FILE_ID --permanent\\n```\\n\\n### Contacts\\n\\n```bash\\n$GAPI contacts list --max 20\\n```\\n\\n### Sheets\\n\\n```bash\\n# Create a new spreadsheet\\n$GAPI sheets create --title \\\"Q4 Budget\\\"\\n$GAPI sheets create --title \\\"Inventory\\\" --sheet-name \\\"Stock\\\"\\n\\n# Read\\n$GAPI sheets get SHEET_ID \\\"Sheet1!A1:D10\\\"\\n\\n# Write\\n$GAPI sheets update SHEET_ID \\\"Sheet1!A1:B2\\\" --values '[[\\\"Name\\\",\\\"Score\\\"],[\\\"Alice\\\",\\\"95\\\"]]'\\n\\n# Append rows\\n$GAPI sheets append SHEET_ID \\\"Sheet1!A:C\\\" --values '[[\\\"new\\\",\\\"row\\\",\\\"data\\\"]]'\\n```\\n\\n### Docs\\n\\n```bash\\n# Read\\n$GAPI docs get DOC_ID\\n\\n# Create a new Doc (optionally seeded with body text)\\n$GAPI docs create --title \\\"Meeting Notes\\\"\\n$GAPI docs create --title \\\"Draft\\\" --body \\\"First paragraph...\\\"\\n\\n# Append text to the end of an existing Doc\\n$GAPI docs append DOC_ID --text \\\"Additional content to append\\\"\\n```\\n\\n## Output Format\\n\\nAll commands return JSON. Parse with `jq` or read directly. Key fields:\\n\\n- **Gmail search**: `[{id, threadId, from, to, subject, date, snippet, labels}]`\\n- **Gmail get**: `{id, threadId, from, to, subject, date, labels, body}`\\n- **Gmail send/reply**: `{status: \\\"sent\\\", id, threadId}`\\n- **Calendar list**: `[{id, summary, start, end, location, description, htmlLink}]`\\n- **Calendar create**: `{status: \\\"created\\\", id, summary, htmlLink}`\\n- **Drive search**: `[{id, name, mimeType, modifiedTime, webViewLink}]`\\n- **Drive get**: `{id, name, mimeType, modifiedTime, size, webViewLink, parents, owners}`\\n- **Drive upload**: `{status: \\\"uploaded\\\", id, name, mimeType, webViewLink}`\\n- **Drive download**: `{status: \\\"downloaded\\\", id, name, path, mimeType}`\\n- **Drive create-folder**: `{status: \\\"created\\\", id, name, webViewLink}`\\n- **Drive share**: `{status: \\\"shared\\\", permissionId, fileId, role, type}`\\n- **Drive delete**: `{status: \\\"trashed\\\" | \\\"deleted\\\", fileId, permanent}`\\n- **Contacts list**: `[{name, emails: [...], phones: [...]}]`\\n- **Sheets get**: `[[cell, cell, ...], ...]`\\n- **Sheets create**: `{status: \\\"created\\\", spreadsheetId, title, spreadsheetUrl}`\\n- **Docs create**: `{status: \\\"created\\\", documentId, title, url}`\\n- **Docs append**: `{status: \\\"appended\\\", documentId, inserted_at, characters}`\\n\\n## Rules\\n\\n1. **Never send email, create/delete calendar events, delete Drive files, share files, or modify Docs/Sheets without confirming with the user first.** Show what will be done (recipients, file IDs, content, share role) and ask for approval. For `drive delete`, prefer the default trash (reversible) over `--permanent`.\\n2. **Check auth before first use** — run `setup.py --check`. If it fails, guide the user through setup.\\n3. **Use the Gmail search syntax reference** for complex queries — load it with `skill_view(\\\"google-workspace\\\", file_path=\\\"references/gmail-search-syntax.md\\\")`.\\n4. **Calendar times must include timezone** — always use ISO 8601 with offset (e.g., `2026-03-01T10:00:00-06:00`) or UTC (`Z`).\\n5. **Respect rate limits** — avoid rapid-fire sequential API calls. 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}
}
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}
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},
{
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"content": "{\"output\": \"TOKEN_FILE_PARSED=***\\nTo https://github.com/Gamexgit/FinanceManager.git\\n c8b76b6..c5ce71b main -> main\\nREMOTE_BEFORE=c8b76b66\\nREMOTE_AFTER=c5ce71b0\", \"exit_code\": 0, \"error\": null}",
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"reasoning": "**Verifying commit safety**\n\nI need to verify that everything has been cleaned up before the final check. I’m thinking about running a git status after making a commit to ensure everything is in order. It's good to double-check that no unnecessary changes or files are lingering around. Maybe I should also look through the log to confirm what has been committed. Keeping a close eye on this will help me feel more confident!",
"finish_reason": "tool_calls",
"reasoning_content": "**Verifying commit safety**\n\nI need to verify that everything has been cleaned up before the final check. I’m thinking about running a git status after making a commit to ensure everything is in order. It's good to double-check that no unnecessary changes or files are lingering around. Maybe I should also look through the log to confirm what has been committed. Keeping a close eye on this will help me feel more confident!",
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"content": "Erledigt, Sir. Task 25–27 sind implementiert, verifiziert, committed und auf `main` gepusht.\n\n## Implementierte Seiten\n\nStreamlit-Grundshell mit zentraler Navigation:\n\n- Command Center\n- Portfolio\n- Platforms\n- Equities/ETFs\n- Crypto\n- Wallets\n- Ledger\n- Watchlist\n- Reports\n- Alerts\n- Audit\n- Settings/Data Quality\n\n## Wichtige Sicherheits-/Architekturpunkte\n\nUmgesetzt:\n\n- Startbare Streamlit-App über:\n - `src/jarvis_finance/app.py`\n - `src/jarvis_finance/dashboard/main.py`\n- Zentrale Navigation via Sidebar.\n- Settings-/Runtime-Ladeprüfung.\n- Runtime muss ausserhalb des Repos liegen.\n- Sichere SQLite-Verbindung nur zu lokaler DB.\n- Klare Fehlermeldung, wenn keine DB vorhanden ist.\n- Expliziter Button zum Erstellen einer synthetischen Dummy-DB.\n- Keine automatische Erstellung/Veränderung echter Daten.\n- Dashboard liest nur lokale SQLite-Daten.\n- Keine CoinGecko/API-Abfragen beim Seitenreload.\n- Crypto-Preise werden nur aus lokaler DB/Cache gelesen.\n- Schreibaktionen im Dashboard bleiben im MVP praktisch read-only bzw. auf explizite Dummy-DB-Erstellung begrenzt.\n- Keine echten Finanzdaten, Wallet-Adressen, Portfolioauszüge oder Runtime-Daten ins Repo übernommen.\n\n## Neue/geänderte Dateien\n\nCommit enthält:\n\n- `src/jarvis_finance/app.py`\n- `src/jarvis_finance/dashboard/main.py`\n- `src/jarvis_finance/dashboard/data.py`\n- `src/jarvis_finance/dashboard/demo_data.py`\n- `src/jarvis_finance/dashboard/components/tables.py`\n- `src/jarvis_finance/dashboard/components/warnings.py`\n- `src/jarvis_finance/dashboard/pages/__init__.py`\n- `src/jarvis_finance/dashboard/pages/page_00_command_center.py`\n- `src/jarvis_finance/dashboard/pages/page_01_portfolio.py`\n- `src/jarvis_finance/dashboard/pages/page_02_platforms.py`\n- `src/jarvis_finance/dashboard/pages/page_03_equities_etfs.py`\n- `src/jarvis_finance/dashboard/pages/page_04_crypto.py`\n- `src/jarvis_finance/dashboard/pages/page_05_wallets.py`\n- `src/jarvis_finance/dashboard/pages/page_06_ledger.py`\n- `src/jarvis_finance/dashboard/pages/page_07_watchlist.py`\n- `src/jarvis_finance/dashboard/pages/page_08_reports.py`\n- `src/jarvis_finance/dashboard/pages/page_09_alerts.py`\n- `src/jarvis_finance/dashboard/pages/page_10_audit.py`\n- `src/jarvis_finance/dashboard/pages/page_11_settings_data_quality.py`\n- `tests/unit/test_dashboard_mvp.py`\n\n## Neue Tests\n\nErgänzt in `tests/unit/test_dashboard_mvp.py`:\n\n- Dashboard-Modul-Import/Smoke-Test.\n- Reader-Funktionen liefern erwartete synthetische Dummy-Daten.\n- Crypto-Seite rendert ohne API-/CoinGecko-Aufruf.\n- Decimal-Crypto-Mengen bleiben korrekt formatiert, ohne Float-/Scientific-Notation-Schäden.\n- Alert-Lifecycle-Daten werden lesbar geladen.\n- Runtime-Pfad innerhalb Repo bleibt blockiert.\n\n## Verifikation\n\nAusgeführt:\n\n```bash\nPYTHONPATH=src python -m compileall src tests\nPYTHONPATH=src pytest tests -q\nPYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\ngit status\n```\n\nErgebnis:\n\n- Compile: OK\n- Tests: `74 passed`\n- Git-Safety: `GIT_SAFETY_OK`\n- Git Status: `clean`\n\nHinweis: Nach `pytest` wurden generierte `__pycache__`/`.pytest_cache`-Artefakte entfernt, bevor der Git-Safety-Scan lief. Der Scanner blockiert solche Runtime-/Cache-Dateien korrekt — brav, aber pedantisch. Genau wie gewünscht.\n\n## Commit / Push\n\n- Commit: `c5ce71b`\n- Message: `feat: add streamlit dashboard MVP`\n- Push: erfolgreich\n- Remote `main`: `c5ce71b`\n\n## UI-Struktur, kurz beschrieben\n\nKein Screenshot erzeugt, da `streamlit` in der aktuellen Laufzeit nicht installiert ist; es ist im Projekt als optionales Dashboard-Extra vorgesehen. Die App-Struktur ist aber implementiert und getestet.\n\nStartlogik:\n\n- Wenn keine DB existiert:\n - Dashboard zeigt klare Fehlermeldung.\n - Zeigt DB-Pfad.\n - Bietet expliziten Button: synthetische Dummy-DB erstellen.\n- Wenn DB existiert:\n - Sidebar-Navigation.\n - Seiten rendern tabellarische, lesende MVP-Ansichten.\n - Command Center zeigt Gesamtwert, Cash, Crypto, Data Quality, Alerts, Audit-Auszug.\n - Crypto-Seite liest lokale Preise aus DB/Cache, keine Live-API.\n - Settings/Data Quality zeigt Runtime-/DB-Pfade und Qualitätschecks.\n\n## Offene Risiken / Designentscheidungen\n\n- `streamlit` ist optional dependency; lokal starten mit installiertem Dashboard-Extra, z.B. sinngemäss:\n - `pip install -e \".[dashboard]\"`\n - `streamlit run src/jarvis_finance/dashboard/main.py`\n- Tabellen sind bewusst funktional statt hübsch.\n- Filter sind im MVP teilweise über lesbare Tabellenstruktur vorbereitet, aber noch nicht als voll ausgebaute interaktive Filter-Komponenten überall umgesetzt.\n- Alert-Aktionen wie acknowledge/resolve/mute bleiben vorerst read-only/nicht aktiv, weil sichere Mutation + Tests dafür ein eigener Block sein sollte.\n- Dummy-Demo-Seed nutzt synthetische Fixtures plus explizite Crypto-Domain-APIs, weil die aktuellen Crypto-Importer strikter sind als frühe Fixtures. Keine echten Coin-/Wallet-Dateien wurden importiert.\n- Screenshots sollten sinnvollerweise erst nach Installation von `streamlit` und lokalem Start erstellt werden.\n\nKurzfassung: sicher startbare lokale Streamlit-MVP-Shell steht, synthetische Daten werden korrekt gelesen, keine Live-API auf Reload, Tests und Git-Safety sind grün, Push ist erledigt.",
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"id": "rs_002041bba6e51fe5016a061bd285d88191872a36671f80c6e2",
"summary": [
{
"type": "summary_text",
"text": "**Clarifying testing safety**\n\nI’m thinking it might not be necessary to address risks, except to emphasize transparency. I should mention that my final clean run removed generated caches before the scan, and emphasize Git safety after deleting pytest/pycache artifacts. But I know the user requested that there be no runtime secret data, so I’ll reassure them that there’s no “real data” involved. I’ll also highlight the need for an explicit dummy database button rather than an automatic one, and organize the final output in bullet points rather than tables."
}
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"codex_message_items": [
{
"type": "message",
"role": "assistant",
"status": "completed",
"content": [
{
"type": "output_text",
"text": "Erledigt, Sir. Task 25–27 sind implementiert, verifiziert, committed und auf `main` gepusht.\n\n## Implementierte Seiten\n\nStreamlit-Grundshell mit zentraler Navigation:\n\n- Command Center\n- Portfolio\n- Platforms\n- Equities/ETFs\n- Crypto\n- Wallets\n- Ledger\n- Watchlist\n- Reports\n- Alerts\n- Audit\n- Settings/Data Quality\n\n## Wichtige Sicherheits-/Architekturpunkte\n\nUmgesetzt:\n\n- Startbare Streamlit-App über:\n - `src/jarvis_finance/app.py`\n - `src/jarvis_finance/dashboard/main.py`\n- Zentrale Navigation via Sidebar.\n- Settings-/Runtime-Ladeprüfung.\n- Runtime muss ausserhalb des Repos liegen.\n- Sichere SQLite-Verbindung nur zu lokaler DB.\n- Klare Fehlermeldung, wenn keine DB vorhanden ist.\n- Expliziter Button zum Erstellen einer synthetischen Dummy-DB.\n- Keine automatische Erstellung/Veränderung echter Daten.\n- Dashboard liest nur lokale SQLite-Daten.\n- Keine CoinGecko/API-Abfragen beim Seitenreload.\n- Crypto-Preise werden nur aus lokaler DB/Cache gelesen.\n- Schreibaktionen im Dashboard bleiben im MVP praktisch read-only bzw. auf explizite Dummy-DB-Erstellung begrenzt.\n- Keine echten Finanzdaten, Wallet-Adressen, Portfolioauszüge oder Runtime-Daten ins Repo übernommen.\n\n## Neue/geänderte Dateien\n\nCommit enthält:\n\n- `src/jarvis_finance/app.py`\n- `src/jarvis_finance/dashboard/main.py`\n- `src/jarvis_finance/dashboard/data.py`\n- `src/jarvis_finance/dashboard/demo_data.py`\n- `src/jarvis_finance/dashboard/components/tables.py`\n- `src/jarvis_finance/dashboard/components/warnings.py`\n- `src/jarvis_finance/dashboard/pages/__init__.py`\n- `src/jarvis_finance/dashboard/pages/page_00_command_center.py`\n- `src/jarvis_finance/dashboard/pages/page_01_portfolio.py`\n- `src/jarvis_finance/dashboard/pages/page_02_platforms.py`\n- `src/jarvis_finance/dashboard/pages/page_03_equities_etfs.py`\n- `src/jarvis_finance/dashboard/pages/page_04_crypto.py`\n- `src/jarvis_finance/dashboard/pages/page_05_wallets.py`\n- `src/jarvis_finance/dashboard/pages/page_06_ledger.py`\n- `src/jarvis_finance/dashboard/pages/page_07_watchlist.py`\n- `src/jarvis_finance/dashboard/pages/page_08_reports.py`\n- `src/jarvis_finance/dashboard/pages/page_09_alerts.py`\n- `src/jarvis_finance/dashboard/pages/page_10_audit.py`\n- `src/jarvis_finance/dashboard/pages/page_11_settings_data_quality.py`\n- `tests/unit/test_dashboard_mvp.py`\n\n## Neue Tests\n\nErgänzt in `tests/unit/test_dashboard_mvp.py`:\n\n- Dashboard-Modul-Import/Smoke-Test.\n- Reader-Funktionen liefern erwartete synthetische Dummy-Daten.\n- Crypto-Seite rendert ohne API-/CoinGecko-Aufruf.\n- Decimal-Crypto-Mengen bleiben korrekt formatiert, ohne Float-/Scientific-Notation-Schäden.\n- Alert-Lifecycle-Daten werden lesbar geladen.\n- Runtime-Pfad innerhalb Repo bleibt blockiert.\n\n## Verifikation\n\nAusgeführt:\n\n```bash\nPYTHONPATH=src python -m compileall src tests\nPYTHONPATH=src pytest tests -q\nPYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\ngit status\n```\n\nErgebnis:\n\n- Compile: OK\n- Tests: `74 passed`\n- Git-Safety: `GIT_SAFETY_OK`\n- Git Status: `clean`\n\nHinweis: Nach `pytest` wurden generierte `__pycache__`/`.pytest_cache`-Artefakte entfernt, bevor der Git-Safety-Scan lief. Der Scanner blockiert solche Runtime-/Cache-Dateien korrekt — brav, aber pedantisch. Genau wie gewünscht.\n\n## Commit / Push\n\n- Commit: `c5ce71b`\n- Message: `feat: add streamlit dashboard MVP`\n- Push: erfolgreich\n- Remote `main`: `c5ce71b`\n\n## UI-Struktur, kurz beschrieben\n\nKein Screenshot erzeugt, da `streamlit` in der aktuellen Laufzeit nicht installiert ist; es ist im Projekt als optionales Dashboard-Extra vorgesehen. Die App-Struktur ist aber implementiert und getestet.\n\nStartlogik:\n\n- Wenn keine DB existiert:\n - Dashboard zeigt klare Fehlermeldung.\n - Zeigt DB-Pfad.\n - Bietet expliziten Button: synthetische Dummy-DB erstellen.\n- Wenn DB existiert:\n - Sidebar-Navigation.\n - Seiten rendern tabellarische, lesende MVP-Ansichten.\n - Command Center zeigt Gesamtwert, Cash, Crypto, Data Quality, Alerts, Audit-Auszug.\n - Crypto-Seite liest lokale Preise aus DB/Cache, keine Live-API.\n - Settings/Data Quality zeigt Runtime-/DB-Pfade und Qualitätschecks.\n\n## Offene Risiken / Designentscheidungen\n\n- `streamlit` ist optional dependency; lokal starten mit installiertem Dashboard-Extra, z.B. sinngemäss:\n - `pip install -e \".[dashboard]\"`\n - `streamlit run src/jarvis_finance/dashboard/main.py`\n- Tabellen sind bewusst funktional statt hübsch.\n- Filter sind im MVP teilweise über lesbare Tabellenstruktur vorbereitet, aber noch nicht als voll ausgebaute interaktive Filter-Komponenten überall umgesetzt.\n- Alert-Aktionen wie acknowledge/resolve/mute bleiben vorerst read-only/nicht aktiv, weil sichere Mutation + Tests dafür ein eigener Block sein sollte.\n- Dummy-Demo-Seed nutzt synthetische Fixtures plus explizite Crypto-Domain-APIs, weil die aktuellen Crypto-Importer strikter sind als frühe Fixtures. Keine echten Coin-/Wallet-Dateien wurden importiert.\n- Screenshots sollten sinnvollerweise erst nach Installation von `streamlit` und lokalem Start erstellt werden.\n\nKurzfassung: sicher startbare lokale Streamlit-MVP-Shell steht, synthetische Daten werden korrekt gelesen, keine Live-API auf Reload, Tests und Git-Safety sind grün, Push ist erledigt."
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"id": "msg_002041bba6e51fe5016a061bd9f9608191a5e8e6ff4188ab92",
"phase": "final_answer"
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