{
  "session_id": "20260516_153021_576c77",
  "model": "gpt-5.5",
  "base_url": "https://chatgpt.com/backend-api/codex",
  "platform": "telegram",
  "session_start": "2026-05-16T09:22:57.370601",
  "last_updated": "2026-05-16T15:34:36.720694",
  "system_prompt": "# Hermes Agent Persona\n\n<!--\nThis file defines the agent's personality and tone.\nThe agent will embody whatever you write here.\nEdit this to customize how Hermes communicates with you.\n\nExamples:\n  - \"You are a warm, playful assistant who uses kaomoji occasionally.\"\n  - \"You are a concise technical expert. No fluff, just facts.\"\n  - \"You speak like a friendly coworker who happens to know everything.\"\n\nThis file is loaded fresh each message -- no restart needed.\nDelete the contents (or this file) to use the default personality.\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<tool_persistence>\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</tool_persistence>\n\n<mandatory_tool_use>\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</mandatory_tool_use>\n\n<act_dont_ask>\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</act_dont_ask>\n\n<prerequisite_checks>\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</prerequisite_checks>\n\n<verification>\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</verification>\n\n<missing_context>\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</missing_context>\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<available_skills>\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</available_skills>\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 ![alt](url) 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) [99% — 2,196/2,200 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 <command>`\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§\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§\nFinanceManager GitHub token CSV path: `~/jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv` (outside repo, mode 600); never store/quote token.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [97% — 1,340/1,375 chars]\n══════════════════════════════════════════════\n**Notes:** Mein Herr. Loyaler Partner.\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§\nFinance-system preference: phased safety gates; no mass imports without approval; aggregate-only reporting; hide real rows/values/raw IDs; polished User Mode dashboard. User has an OpenFIGI key available; never store/show the value.\n\nConversation started: Saturday, May 16, 2026 03:30 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:<screenshot_path> in your response. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "question": {
              "type": "string",
              "description": "What you want to know about the page visually. Be specific about what you're looking for."
            },
            "annotate": {
              "type": "boolean",
              "default": false,
              "description": "If true, overlay numbered [N] labels on interactive elements. Each [N] maps to ref @eN for subsequent browser commands. Useful for QA and spatial reasoning about page layout."
            }
          },
          "required": [
            "question"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "clarify",
        "description": "Ask the user a question when you need clarification, feedback, or a decision before proceeding. Supports two modes:\n\n1. **Multiple choice** — provide up to 4 choices. The user picks one or types their own answer via a 5th 'Other' option.\n2. **Open-ended** — omit choices entirely. The user types a free-form response.\n\nUse this tool when:\n- The task is ambiguous and you need the user to choose an approach\n- You want post-task feedback ('How did that work out?')\n- You want to offer to save a skill or update memory\n- A decision has meaningful trade-offs the user should weigh in on\n\nDo NOT use this tool for simple yes/no confirmation of dangerous commands (the terminal tool handles that). Prefer making a reasonable default choice yourself when the decision is low-stakes.",
        "parameters": {
          "type": "object",
          "properties": {
            "question": {
              "type": "string",
              "description": "The question to present to the user."
            },
            "choices": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "maxItems": 4,
              "description": "Up to 4 answer choices. Omit this parameter entirely to ask an open-ended question. When provided, the UI automatically appends an 'Other (type your answer)' option."
            }
          },
          "required": [
            "question"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "cronjob",
        "description": "Manage scheduled cron jobs with a single compressed tool.\n\nUse action='create' to schedule a new job from a prompt or one or more skills.\nUse action='list' to inspect jobs.\nUse action='update', 'pause', 'resume', 'remove', or 'run' to manage an existing job.\n\nTo stop a job the user no longer wants: first action='list' to find the job_id, then action='remove' with that job_id. Never guess job IDs — always list first.\n\nJobs run in a fresh session with no current-chat context, so prompts must be self-contained.\nIf skills are provided on create, the future cron run loads those skills in order, then follows the prompt as the task instruction.\nOn update, passing skills=[] clears attached skills.\n\nNOTE: The agent's final response is auto-delivered to the target. Put the primary\nuser-facing content in the final response. Cron jobs run autonomously with no user\npresent — they cannot ask questions or request clarification.\n\nImportant safety rule: cron-run sessions should not recursively schedule more cron jobs.",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "description": "One of: create, list, update, pause, resume, remove, run"
            },
            "job_id": {
              "type": "string",
              "description": "Required for update/pause/resume/remove/run"
            },
            "prompt": {
              "type": "string",
              "description": "For create: the full self-contained prompt. If skills are also provided, this becomes the task instruction paired with those skills."
            },
            "schedule": {
              "type": "string",
              "description": "For create/update: '30m', 'every 2h', '0 9 * * *', or ISO timestamp"
            },
            "name": {
              "type": "string",
              "description": "Optional human-friendly name"
            },
            "repeat": {
              "type": "integer",
              "description": "Optional repeat count. Omit for defaults (once for one-shot, forever for recurring)."
            },
            "deliver": {
              "type": "string",
              "description": "Omit this parameter to auto-deliver back to the current chat and topic (recommended). Auto-detection preserves thread/topic context. Only set explicitly when the user asks to deliver somewhere OTHER than the current conversation. Values: 'origin' (same as omitting), 'local' (no delivery, save only), 'all' (fan out to every connected home channel), or platform:chat_id:thread_id for a specific destination. Combine with comma: 'origin,all' delivers to the origin plus every other connected channel. Examples: 'telegram:-1001234567890:17585', 'discord:#engineering', 'sms:+15551234567', 'all'. WARNING: 'platform:chat_id' without :thread_id loses topic targeting. 'all' resolves at fire time, so a job created before a channel was wired up will pick it up automatically once connected."
            },
            "skills": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Optional ordered list of skill names to load before executing the cron prompt. On update, pass an empty array to clear attached skills."
            },
            "model": {
              "type": "object",
              "description": "Optional per-job model override. If provider is omitted, the current main provider is pinned at creation time so the job stays stable.",
              "properties": {
                "provider": {
                  "type": "string",
                  "description": "Provider name (e.g. 'openrouter', 'anthropic', or 'custom:<name>' for a provider defined in custom_providers config — always include the ':<name>' suffix, never pass the bare 'custom'). Omit to use and pin the current provider."
                },
                "model": {
                  "type": "string",
                  "description": "Model name (e.g. 'anthropic/claude-sonnet-4', 'claude-sonnet-4')"
                }
              },
              "required": [
                "model"
              ]
            },
            "script": {
              "type": "string",
              "description": "Optional path to a script that runs each tick. In the default mode its stdout is injected into the agent's prompt as context (data-collection / change-detection pattern). With no_agent=True, the script IS the job and its stdout is delivered verbatim (classic watchdog pattern). Relative paths resolve under ~/.hermes/scripts/. ``.sh``/``.bash`` extensions run via bash, everything else via Python. On update, pass empty string to clear."
            },
            "no_agent": {
              "type": "boolean",
              "default": false,
              "description": "Default: False (LLM-driven job — the agent runs the prompt each tick). Set True to skip the LLM entirely: the scheduler just runs ``script`` on schedule and delivers its stdout verbatim. No tokens, no agent loop, no model override honoured. \n\nREQUIREMENTS when True: ``script`` MUST be set (``prompt`` and ``skills`` are ignored). \n\nDELIVERY SEMANTICS when True: (a) non-empty stdout is sent verbatim as the message; (b) EMPTY stdout means SILENT — nothing is sent to the user and they won't see anything happened, so design your script to stay quiet when there's nothing to report (the watchdog pattern); (c) non-zero exit / timeout sends an error alert so a broken watchdog can't fail silently. \n\nWHEN TO USE True: recurring script-only pings where the script itself produces the exact message text (memory/disk/GPU watchdogs, threshold alerts, heartbeats, CI notifications, API pollers with a fixed output shape). WHEN TO USE False (default): anything that needs reasoning — summarize a feed, draft a daily briefing, pick interesting items, rephrase data for a human, follow conditional logic based on content."
            },
            "context_from": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Optional job ID or list of job IDs whose most recent completed output is injected into the prompt as context before each run. Use this to chain cron jobs: job A collects data, job B processes it. Each entry must be a valid job ID (from cronjob action='list'). Note: injects the most recent completed output — does not wait for upstream jobs running in the same tick. On update, pass an empty array to clear."
            },
            "enabled_toolsets": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Optional list of toolset names to restrict the job's agent to (e.g. [\"web\", \"terminal\", \"file\", \"delegation\"]). When set, only tools from these toolsets are loaded, significantly reducing input token overhead. When omitted, all default tools are loaded. Infer from the job's prompt — e.g. use \"web\" if it calls web_search, \"terminal\" if it runs scripts, \"file\" if it reads files, \"delegation\" if it calls delegate_task. On update, pass an empty array to clear."
            },
            "workdir": {
              "type": "string",
              "description": "Optional absolute path to run the job from. When set, AGENTS.md / CLAUDE.md / .cursorrules from that directory are injected into the system prompt, and the terminal/file/code_exec tools use it as their working directory — useful for running a job inside a specific project repo. Must be an absolute path that exists. When unset (default), preserves the original behaviour: no project context files, tools use the scheduler's cwd. On update, pass an empty string to clear. Jobs with workdir run sequentially (not parallel) to keep per-job directories isolated."
            }
          },
          "required": [
            "action"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "delegate_task",
        "description": "Spawn one or more subagents to work on tasks in isolated contexts. Each subagent gets its own conversation, terminal session, and toolset. Only the final summary is returned -- intermediate tool results never enter your context window.\n\nTWO MODES (one of 'goal' or 'tasks' is required):\n1. Single task: provide 'goal' (+ optional context, toolsets)\n2. Batch (parallel): provide 'tasks' array with up to 3 items concurrently for this user (configured via delegation.max_concurrent_children in config.yaml). All run in parallel and results are returned together. Nested delegation is OFF for this user (max_spawn_depth=1): every child is a leaf and cannot delegate further. Raise delegation.max_spawn_depth in config.yaml to enable nesting.\n\nWHEN TO USE delegate_task:\n- Reasoning-heavy subtasks (debugging, code review, research synthesis)\n- Tasks that would flood your context with intermediate data\n- Parallel independent workstreams (research A and B simultaneously)\n\nWHEN NOT TO USE (use these instead):\n- Mechanical multi-step work with no reasoning needed -> use execute_code\n- Single tool call -> just call the tool directly\n- Tasks needing user interaction -> subagents cannot use clarify\n- Durable long-running work that must outlive the current turn -> use cronjob (action='create') or terminal(background=True, notify_on_complete=True) instead. delegate_task runs SYNCHRONOUSLY inside the parent turn: if the parent is interrupted (user sends a new message, /stop, /new) the child is cancelled with status='interrupted' and its work is discarded. Children cannot continue in the background.\n\nIMPORTANT:\n- Subagents have NO memory of your conversation. Pass all relevant info (file paths, error messages, constraints) via the 'context' field.\n- If the user is writing in a non-English language, or asked for output in a specific language / tone / style, say so in 'context' (e.g. \"respond in Chinese\", \"return output in Japanese\"). Otherwise subagents default to English and their summaries will contaminate your final reply with the wrong language.\n- Subagent summaries are SELF-REPORTS, not verified facts. A subagent that claims \"uploaded successfully\" or \"file written\" may be wrong. For operations with external side-effects (HTTP POST/PUT, remote writes, file creation at shared paths, publishing), require the subagent to return a verifiable handle (URL, ID, absolute path, HTTP status) and verify it yourself — fetch the URL, stat the file, read back the content — before telling the user the operation succeeded.\n- Leaf subagents (role='leaf', the default) CANNOT call: delegate_task, clarify, memory, send_message, execute_code.\n- Orchestrator subagents (role='orchestrator') retain delegate_task so they can spawn their own workers, but still cannot use clarify, memory, send_message, or execute_code. Orchestrators are bounded by max_spawn_depth=1 for this user and can be disabled globally via delegation.orchestrator_enabled=false.\n- Each subagent gets its own terminal session (separate working directory and state).\n- Results are always returned as an array, one entry per task.",
        "parameters": {
          "type": "object",
          "properties": {
            "goal": {
              "type": "string",
              "description": "What the subagent should accomplish. Be specific and self-contained -- the subagent knows nothing about your conversation history."
            },
            "context": {
              "type": "string",
              "description": "Background information the subagent needs: file paths, error messages, project structure, constraints. The more specific you are, the better the subagent performs."
            },
            "toolsets": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Toolsets to enable for this subagent. Default: inherits your enabled toolsets. Available toolsets: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'video_gen', 'vision', 'web', 'yuanbao'. Common patterns: ['terminal', 'file'] for code work, ['web'] for research, ['browser'] for web interaction, ['terminal', 'file', 'web'] for full-stack tasks."
            },
            "tasks": {
              "type": "array",
              "items": {
                "type": "object",
                "properties": {
                  "goal": {
                    "type": "string",
                    "description": "Task goal"
                  },
                  "context": {
                    "type": "string",
                    "description": "Task-specific context"
                  },
                  "toolsets": {
                    "type": "array",
                    "items": {
                      "type": "string"
                    },
                    "description": "Toolsets for this specific task. Available: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'video_gen', 'vision', 'web', '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 ![description](url-or-path) and the gateway will deliver it.",
        "parameters": {
          "type": "object",
          "properties": {
            "prompt": {
              "type": "string",
              "description": "The text prompt describing the desired image. Be detailed and descriptive."
            },
            "aspect_ratio": {
              "type": "string",
              "enum": [
                "landscape",
                "square",
                "portrait"
              ],
              "description": "The aspect ratio of the generated image. 'landscape' is 16:9 wide, 'portrait' is 16:9 tall, 'square' is 1:1.",
              "default": "landscape"
            }
          },
          "required": [
            "prompt"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "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:<account_id>' (DM), 'yuanbao:group:<group_code>' (group chat)"
            },
            "message": {
              "type": "string",
              "description": "The message text to send. To send an image or file, include MEDIA:<local_path> (e.g. 'MEDIA:/tmp/hermes/cache/img_xxx.jpg') in the message — the platform will deliver it as a native media attachment."
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "session_search",
        "description": "Search your long-term memory of past conversations, or browse recent sessions. This is your recall -- every past session is searchable, and this tool summarizes what happened.\n\nTWO MODES:\n1. Recent sessions (no query): Call with no arguments to see what was worked on recently. Returns titles, previews, and timestamps. Zero LLM cost, instant. Start here when the user asks what were we working on or what did we do recently.\n2. Keyword search (with query): Search for specific topics across all past sessions. Returns LLM-generated summaries of matching sessions.\n\nUSE THIS PROACTIVELY when:\n- The user says 'we did this before', 'remember when', 'last time', 'as I mentioned'\n- The user asks about a topic you worked on before but don't have in current context\n- The user references a project, person, or concept that seems familiar but isn't in memory\n- You want to check if you've solved a similar problem before\n- The user asks 'what did we do about X?' or 'how did we fix Y?'\n\nDon't hesitate to search when it is actually cross-session -- it's fast and cheap. Better to search and confirm than to guess or ask the user to repeat themselves.\n\nSearch syntax: keywords joined with OR for broad recall (elevenlabs OR baseten OR funding), phrases for exact match (\"docker networking\"), boolean (python NOT java), prefix (deploy*). IMPORTANT: Use OR between keywords for best results — FTS5 defaults to AND which misses sessions that only mention some terms. If a broad OR query returns nothing, try individual keyword searches in parallel. Returns summaries of the top matching sessions.",
        "parameters": {
          "type": "object",
          "properties": {
            "query": {
              "type": "string",
              "description": "Search query — keywords, phrases, or boolean expressions to find in past sessions. Omit this parameter entirely to browse recent sessions instead (returns titles, previews, timestamps with no LLM cost)."
            },
            "role_filter": {
              "type": "string",
              "description": "Optional: only search messages from specific roles (comma-separated). E.g. 'user,assistant' to skip tool outputs."
            },
            "limit": {
              "type": "integer",
              "description": "Max sessions to summarize (default: 3, max: 5).",
              "default": 3
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "skill_manage",
        "description": "Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/.hermes/skills/; existing skills can be modified wherever they live.\n\nActions: create (full SKILL.md + optional category), patch (old_string/new_string — preferred for fixes), edit (full SKILL.md rewrite — major overhauls only), delete, write_file, remove_file.\n\nOn delete, pass `absorbed_into=<umbrella>` when you're merging this skill's content into another one, or `absorbed_into=\"\"` when you're pruning it with no forwarding target. This lets the curator tell consolidation from pruning without guessing, so downstream consumers (cron jobs that reference the old skill name, etc.) get updated correctly. The target you name in `absorbed_into` must already exist — create/patch the umbrella first, then delete.\n\nCreate when: complex task succeeded (5+ calls), errors overcome, user-corrected approach worked, non-trivial workflow discovered, or user asks you to remember a procedure.\nUpdate when: instructions stale/wrong, OS-specific failures, missing steps or pitfalls found during use. If you used a skill and hit issues not covered by it, patch it immediately.\n\nAfter difficult/iterative tasks, offer to save as a skill. Skip for simple one-offs. Confirm with user before creating/deleting.\n\nGood skills: trigger conditions, numbered steps with exact commands, pitfalls section, verification steps. Use skill_view() to see format examples.\n\nPinned skills are protected from deletion only — skill_manage(action='delete') will refuse with a message pointing the user to `hermes curator unpin <name>`. Patches and edits go through on pinned skills so you can still improve them as pitfalls come up; pin only guards against irrecoverable loss.",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "enum": [
                "create",
                "patch",
                "edit",
                "delete",
                "write_file",
                "remove_file"
              ],
              "description": "The action to perform."
            },
            "name": {
              "type": "string",
              "description": "Skill name (lowercase, hyphens/underscores, max 64 chars). Must match an existing skill for patch/edit/delete/write_file/remove_file."
            },
            "content": {
              "type": "string",
              "description": "Full SKILL.md content (YAML frontmatter + markdown body). Required for 'create' and 'edit'. For 'edit', read the skill first with skill_view() and provide the complete updated text."
            },
            "old_string": {
              "type": "string",
              "description": "Text to find in the file (required for 'patch'). Must be unique unless replace_all=true. Include enough surrounding context to ensure uniqueness."
            },
            "new_string": {
              "type": "string",
              "description": "Replacement text (required for 'patch'). Can be empty string to delete the matched text."
            },
            "replace_all": {
              "type": "boolean",
              "description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)."
            },
            "category": {
              "type": "string",
              "description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'."
            },
            "file_path": {
              "type": "string",
              "description": "Path to a supporting file within the skill directory. For 'write_file'/'remove_file': required, must be under references/, templates/, scripts/, or assets/. For 'patch': optional, defaults to SKILL.md if omitted."
            },
            "file_content": {
              "type": "string",
              "description": "Content for the file. Required for 'write_file'."
            },
            "absorbed_into": {
              "type": "string",
              "description": "For 'delete' only — declares intent so the curator can tell consolidation from pruning without guessing. Pass the umbrella skill name when this skill's content was merged into another (the target must already exist). Pass an empty string when the skill is truly stale and being pruned with no forwarding target. Omitting the arg on delete is supported for backward compatibility but downstream tooling (e.g. cron-job skill reference rewriting) will have to guess at intent."
            }
          },
          "required": [
            "action",
            "name"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "skill_view",
        "description": "Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a 'linked_files' dict showing available references/templates/scripts. To access those, call again with file_path parameter.",
        "parameters": {
          "type": "object",
          "properties": {
            "name": {
              "type": "string",
              "description": "The skill name (use skills_list to see available skills). For plugin-provided skills, use the qualified form 'plugin:skill' (e.g. 'superpowers:writing-plans')."
            },
            "file_path": {
              "type": "string",
              "description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content."
            }
          },
          "required": [
            "name"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "skills_list",
        "description": "List available skills (name + description). Use skill_view(name) to load full content.",
        "parameters": {
          "type": "object",
          "properties": {
            "category": {
              "type": "string",
              "description": "Optional category filter to narrow results"
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "terminal",
        "description": "Execute shell commands on a Linux environment. Filesystem usually persists between calls.\n\nDo NOT use cat/head/tail to read files — use read_file instead.\nDo NOT use grep/rg/find to search — use search_files instead.\nDo NOT use ls to list directories — use search_files(target='files') instead.\nDo NOT use sed/awk to edit files — use patch instead.\nDo NOT use echo/cat heredoc to create files — use write_file instead.\nReserve terminal for: builds, installs, git, processes, scripts, network, package managers, and anything that needs a shell.\n\nForeground (default): Commands return INSTANTLY when done, even if the timeout is high. Set timeout=300 for long builds/scripts — you'll still get the result in seconds if it's fast. Prefer foreground for short commands.\nBackground: Set background=true to get a session_id. Two patterns:\n  (1) Long-lived processes that never exit (servers, watchers).\n  (2) Long-running tasks with notify_on_complete=true — you can keep working on other things and the system auto-notifies you when the task finishes. Great for test suites, builds, deployments, or anything that takes more than a minute.\nFor servers/watchers, do NOT use shell-level background wrappers (nohup/disown/setsid/trailing '&') in foreground mode. Use background=true so Hermes can track lifecycle and output.\nAfter starting a server, verify readiness with a health check or log signal, then run tests in a separate terminal() call. Avoid blind sleep loops.\nUse process(action=\"poll\") for progress checks, process(action=\"wait\") to block until done.\nWorking directory: Use 'workdir' for per-command cwd.\nPTY mode: Set pty=true for interactive CLI tools (Codex, Claude Code, Python REPL).\n\nDo NOT use vim/nano/interactive tools without pty=true — they hang without a pseudo-terminal. Pipe git output to cat if it might page.\n",
        "parameters": {
          "type": "object",
          "properties": {
            "command": {
              "type": "string",
              "description": "The command to execute on the VM"
            },
            "background": {
              "type": "boolean",
              "description": "Run the command in the background. Two patterns: (1) Long-lived processes that never exit (servers, watchers). (2) Long-running tasks paired with notify_on_complete=true — you can keep working and get notified when the task finishes. For short commands, prefer foreground with a generous timeout instead.",
              "default": false
            },
            "timeout": {
              "type": "integer",
              "description": "Max seconds to wait (default: 180, foreground max: 600). Returns INSTANTLY when command finishes — set high for long tasks, you won't wait unnecessarily. Foreground timeout above 600s is rejected; use background=true for longer commands.",
              "minimum": 1
            },
            "workdir": {
              "type": "string",
              "description": "Working directory for this command (absolute path). Defaults to the session working directory."
            },
            "pty": {
              "type": "boolean",
              "description": "Run in pseudo-terminal (PTY) mode for interactive CLI tools like Codex, Claude Code, or Python REPL. Only works with local and SSH backends. Default: false.",
              "default": false
            },
            "notify_on_complete": {
              "type": "boolean",
              "description": "When true (and background=true), you'll be automatically notified exactly once when the process finishes. **This is the right choice for almost every long-running task** — tests, builds, deployments, multi-item batch jobs, anything that takes over a minute and has a defined end. Use this and keep working on other things; the system notifies you on exit. MUTUALLY EXCLUSIVE with watch_patterns — when both are set, watch_patterns is dropped.",
              "default": false
            },
            "watch_patterns": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Strings to watch for in background process output. HARD RATE LIMIT: at most 1 notification per 15 seconds per process — matches arriving inside the cooldown are dropped. After 3 consecutive 15-second windows with dropped matches, watch_patterns is automatically disabled for that process and promoted to notify_on_complete behavior (one notification on exit, no more mid-process spam). USE ONLY for truly rare, one-shot mid-process signals on LONG-LIVED processes that will never exit on their own — e.g. ['Application startup complete'] on a server so you know when to hit its endpoint, or ['migration done'] on a daemon. DO NOT use for: (1) end-of-run markers like 'DONE'/'PASS' — use notify_on_complete instead; (2) error patterns like 'ERROR'/'Traceback' in loops or multi-item batch jobs — they fire on every iteration and you'll hit the strike limit fast; (3) anything you'd ever combine with notify_on_complete. When in doubt, choose notify_on_complete. MUTUALLY EXCLUSIVE with notify_on_complete — set one, not both."
            }
          },
          "required": [
            "command"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "text_to_speech",
        "description": "Convert text to speech audio. Returns a MEDIA: path that the platform delivers as native audio. Compatible providers render as a voice bubble on Telegram; otherwise audio is sent as a regular attachment. In CLI mode, saves to ~/voice-memos/. Voice and provider are user-configured (built-in providers like edge/openai or custom command providers under tts.providers.<name>), not model-selected.",
        "parameters": {
          "type": "object",
          "properties": {
            "text": {
              "type": "string",
              "description": "The text to convert to speech. Provider-specific character caps apply and are enforced automatically (OpenAI 4096, xAI 15000, MiniMax 10000, ElevenLabs 5k-40k depending on model); over-long input is truncated."
            },
            "output_path": {
              "type": "string",
              "description": "Optional custom file path to save the audio. Defaults to ~/.hermes/audio_cache/<timestamp>.mp3"
            }
          },
          "required": [
            "text"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "todo",
        "description": "Manage your task list for the current session. Use for complex tasks with 3+ steps or when the user provides multiple tasks. Call with no parameters to read the current list.\n\nWriting:\n- Provide 'todos' array to create/update items\n- merge=false (default): replace the entire list with a fresh plan\n- merge=true: update existing items by id, add any new ones\n\nEach item: {id: string, content: string, status: pending|in_progress|completed|cancelled}\nList order is priority. Only ONE item in_progress at a time.\nMark items completed immediately when done. If something fails, cancel it and add a revised item.\n\nAlways returns the full current list.",
        "parameters": {
          "type": "object",
          "properties": {
            "todos": {
              "type": "array",
              "description": "Task items to write. Omit to read current list.",
              "items": {
                "type": "object",
                "properties": {
                  "id": {
                    "type": "string",
                    "description": "Unique item identifier"
                  },
                  "content": {
                    "type": "string",
                    "description": "Task description"
                  },
                  "status": {
                    "type": "string",
                    "enum": [
                      "pending",
                      "in_progress",
                      "completed",
                      "cancelled"
                    ],
                    "description": "Current status"
                  }
                },
                "required": [
                  "id",
                  "content",
                  "status"
                ]
              }
            },
            "merge": {
              "type": "boolean",
              "description": "true: update existing items by id, add new ones. false (default): replace the entire list.",
              "default": false
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "vision_analyze",
        "description": "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": 107,
  "messages": [
    {
      "role": "user",
      "content": "[M G] ich habe den API key für Openfigi. wo soll ich dir diesen ablegen? gib mir die befehle fürs Terminal."
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "call_qqE1X4vodSsTOMG176nuQKS2",
          "call_id": "call_qqE1X4vodSsTOMG176nuQKS2",
          "response_item_id": "fc_03507daf03b84d1d016a081825a2948191bca31f4b12ebbdf2",
          "type": "function",
          "function": {
            "name": "skill_view",
            "arguments": "{\"name\":\"finance-system-architecture\"}"
          }
        }
      ],
      "finish_reason": "tool_calls",
      "reasoning": "**Setting up the OpenFIGI key**\n\nI see that we need the answer in German. It’s important to set up the OpenFIGI key properly, but I'm wondering if this is more about configuration rather than Hermes itself, which could be a finance-related aspect. The user seems to be asking where to place the API key, so I might want to focus on the relevant finance skill or even the finance system architecture. Let’s load the finance-system architecture for clarity!",
      "reasoning_content": "**Setting up the OpenFIGI key**\n\nI see that we need the answer in German. It’s important to set up the OpenFIGI key properly, but I'm wondering if this is more about configuration rather than Hermes itself, which could be a finance-related aspect. The user seems to be asking where to place the API key, so I might want to focus on the relevant finance skill or even the finance system architecture. Let’s load the finance-system architecture for clarity!",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
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              "type": "summary_text",
              "text": "**Setting up the OpenFIGI key**\n\nI see that we need the answer in German. It’s important to set up the OpenFIGI key properly, but I'm wondering if this is more about configuration rather than Hermes itself, which could be a finance-related aspect. The user seems to be asking where to place the API key, so I might want to focus on the relevant finance skill or even the finance system architecture. Let’s load the finance-system architecture for clarity!"
            }
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    {
      "role": "tool",
      "content": "[skill_view] name=finance-system-architecture (46,556 chars)",
      "tool_call_id": "call_qqE1X4vodSsTOMG176nuQKS2"
    },
    {
      "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. 239 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",
      "content": "[M G] Der letzte Sprint ist technisch akzeptiert, aber das Dashboard ist aus Nutzersicht weiterhin nicht sauber genug.\n\nIch habe erneut getestet und Screenshots erstellt. Die wichtigsten Probleme:\n\n1. Cash wird im Command Center zum Gesamtwert addiert, ist aber nicht sauber in allen Ansichten sichtbar.\n2. In „Aktien & ETFs“ erscheint Cash nur bei „Nach Assettyp“, aber nicht bei „Nach Anbieter / Depot“.\n3. Es gibt weiterhin Alt-/Review-Artefakte wie „True Wealth Review Brokerage“.\n4. Positionen sind immer noch nicht direkt interaktiv genug. Ich muss über Dropdowns suchen, statt Zeilen anklicken/auswählen zu können.\n5. Die Übersicht ist visuell noch zu roh.\n6. Summary Cards sind teilweise abgeschnitten, z.B. „Bewertung u...“ oder „kein Preisup...“.\n7. Aktien-/ETF-Ansicht zeigt noch zu wenig wertvolle Hinweise und Zusammenzüge.\n8. Der Admin-/Review-Modus ist zu präsent und soll im Alltag möglichst nicht nötig sein.\n\nBitte starte jetzt einen gezielten:\n\n# User Dashboard Acceptance Sprint\n\nZiel:\nDas Dashboard soll im User Mode als echtes Portfolio-Dashboard bedienbar werden. Nicht mehr „technisch korrekt“, sondern verständlich, aufgeräumt und interaktiv.\n\nKeine neuen Provider.\nKeine neuen grossen Fachfeatures.\nKeine DOCX-Imports.\nKeine echten Daten ins Git.\nKeine neuen Reports/Screenshots/DBs ins Repo.\n\n## 1. Echte Runtime-UI zuerst inspizieren\n\nBitte starte das Dashboard mit der echten Runtime-DB und prüfe aktiv:\n\n* Command Center\n* Aktien & ETFs\n* Crypto\n* Wallets\n* Position hinzufügen\n* Reports\n\nNicht nur Unit-Tests. Bitte den echten User Mode prüfen.\n\nBericht ohne echte Werte/Mengen:\n\n* welche Seiten sichtbar sind\n* welche Seiten noch problematisch sind\n* ob Cash überall korrekt angezeigt wird\n* ob Review-/Test-Artefakte sichtbar sind\n* ob Tabellen Auswahl/Detail/Actions sauber unterstützen\n\n## 2. User Mode radikal vom Admin Mode trennen\n\nUser Mode soll im Alltag reichen.\n\nUser Mode sichtbar:\n\n* Command Center\n* Portfolio oder Übersicht, falls sauber\n* Crypto\n* Wallets\n* Aktien & ETFs\n* Position hinzufügen\n* Reports\n\nAdmin Mode:\n\n* Ledger\n* Audit\n* Alerts\n* Data Quality\n* Import Wizard\n* Manual Review Queue\n* Settings\n* technische Provider-/Mapping-Ansichten\n\nWichtig:\nIm User Mode keine Review Queue, keine Audit-Rohdaten, keine technische Mapping-/Import-Sprache.\n\n## 3. Review-/Test-/Altartefakte endgültig entfernen oder deaktivieren\n\nIn der Runtime sind weiterhin Dinge sichtbar, die nicht mehr in den Alltag gehören:\n\n* True Wealth Review Brokerage\n* alte Review-/DOCX-/Testpositionen\n* ggf. Testinstrumente wie frühere Wizard-Testpositionen\n* Synthetic/Dryrun/Review Accounts\n\nBitte nicht nur nach offensichtlichen Transaktionen suchen, sondern auch:\n\n* accounts\n* platforms\n* instruments\n* transactions\n* positions_snapshot\n* cash_balances\n* alerts\n* audit_log references\n\nPreflight:\n\n* Backup Runtime-DB\n* Git-Safety\n* Git Status\n\nDry Run:\n\n* alle Kandidaten nennen nach Label/Typ/Count, aber ohne Mengen/Werte\n\nProduktiv:\n\n* Wenn eindeutig Review/Test: archivieren/deaktivieren oder entfernen\n* manuelle echte Positionen erhalten\n* Crypto nicht anfassen\n* Audit-/Cleanup-Event schreiben\n\nZiel:\nDie Aktien-/ETF-/Cash-Ansicht soll nur echte manuell erfasste Positionen zeigen oder leer sein.\n\n## 4. Cash-Gruppierung fixen\n\nAktueller Bug:\nCash erscheint bei „Nach Assettyp“, aber nicht sauber bei „Nach Anbieter / Depot“.\n\nBitte fixen:\n\nCash muss sichtbar sein in:\n\n### Command Center\n\n* Cash CHF\n* Bestandteil von Gesamtportfolio\n\n### Aktien & ETFs / Portfolio\n\nJe nach Benennung:\n\n* Cash als eigene Assetklasse sichtbar\n* gruppierbar nach Anbieter/Depot\n* gruppierbar nach Assettyp\n* in „Alle Positionen“ sichtbar\n\n### Nach Anbieter / Depot\n\nPro Anbieter:\n\n* PostFinance\n* Raiffeisen\n* True Wealth\n* Anderes Konto\n\nIn jeder Anbietergruppe:\n\n* Cash\n* Aktien\n* ETFs\n\nWenn ein Anbieter nur Cash hat, trotzdem anzeigen.\n\n## 5. Aktien-&-ETFs-Seite umbenennen oder breiter denken\n\nDie Seite „Aktien & ETFs“ enthält inzwischen auch Cash. Das ist verwirrend.\n\nBitte entweder:\n\nOption A:\nSeite umbenennen in „Vermögenswerte“ oder „Portfolio\nPositionen“\n\noder\n\nO\nption B:\nCash separat als eigene User-Mode-Seite/Section führen.\n\nMeine Präferenz:\nUser Mode Seite „Portfolio“ oder „Vermögenswerte“ mit Tabs/Abschnitten:\n\n* Cash\n* Aktien\n* ETFs\n\nCrypto bleibt eigene Seite.\n\n## 6. Übersicht auf der Seite verbessern\n\nOben Summary Cards:\n\n* Gesamtwert dieser Seite CHF\n* Cash CHF\n* Aktien CHF\n* ETFs CHF\n* Positionen ohne Preis\n* Positionen ohne FX\n* Einstand unvollständig\n* Letztes Preisupdate\n\nBitte Karten nicht abschneiden.\nFalls Text zu lang:\n\n* kleinere Labels\n* Bewertung unvollständig als Badge/Text unter Card\n* Card-Werte nicht abgeschnitten anzeigen\n\nKeine Anzeige wie:\n\n* „Bewertung u...“\n* „kein Preisup...“\n\n## 7. Zusammenzüge unterhalb der Listen ergänzen\n\nUnter den Tabellen sollen Zusammenzüge erscheinen.\n\nBeispiele:\n\n### Nach Anbieter / Depot\n\nFür jeden Anbieter:\n\n* Summe Cash CHF\n* Summe Aktien CHF\n* Summe ETFs CHF\n* Gesamtwert Anbieter CHF\n* Anzahl Positionen\n* Anzahl unbewertete Positionen\n\n### Nach Assettyp\n\nFür Cash:\n\n* Gesamt Cash CHF\n* Anzahl Konten/Währungen\n\nFür Aktien:\n\n* Gesamt Aktien CHF\n* Anzahl Aktien\n* unbewertete Aktien\n\nFür ETFs:\n\n* Gesamt ETFs CHF\n* Anzahl ETFs\n* unbewertete ETFs\n\nWenn Wert nicht berechenbar:\n\n* „nicht vollständig bewertet“\n* nicht 0 vortäuschen\n\n## 8. Tabellen sortierbar und schlanker machen\n\nUser Mode Tabellen maximal:\n\n* Name\n* Ticker\n* ISIN\n* Depot\n* Assettyp\n* Menge/Betrag\n* Währung\n* Kurs\n* Marktwert CHF\n* Status\n\nFür Cash:\n\n* Name/Konto\n* Depot\n* Assettyp = Cash\n* Betrag\n* Währung\n* Marktwert CHF\n* Status\n\nKeine technischen IDs.\nKeine Review-/Importnotizen.\nKeine provider raw fields.\n\nSortierung:\n\n* Marktwert CHF absteigend\n* Name A–Z\n* Depot\n* Assettyp\n* Status\n* Währung\n\n## 9. Zeileninteraktion statt Dropdown-Suche\n\nIch bin unzufrieden damit, dass Positionen nur über Dropdowns ausgewählt werden können.\n\nBitte prüfen und möglichst implementieren:\n\n### Primär:\n\nst.dataframe mit Row Selection.\n\nFalls Streamlit-Version es unterstützt:\n\n* eine Zeile auswählen\n* Auswahl in session_state speichern\n* Detailpanel unterhalb anzeigen\n\n### Fallback:\n\nFalls Row Selection nicht robust möglich:\n\n* pro Zeile ein echter Button „Öffnen“\n* oder Kartenansicht mit Button „Details“\n* Dropdown nur als Fallback, nicht als Hauptinteraktion\n\nZiel:\nIch klicke bzw. wähle eine Position aus der Liste und sehe direkt Details.\n\n## 10. Detailpanel pro Position\n\nNach Auswahl einer Position:\n\n* Name\n* Assettyp\n* Depot\n* Menge/Betrag\n* Währung\n* Kurs\n* Marktwert CHF\n* Preisstatus\n* FX-Status\n* Einstandstatus\n* letzte Aktualisierung\n* Audit-/Verlauf-Kurzinfo\n\nAktionen:\n\n* Korrigieren\n* Verlauf anzeigen\n* Kaufen\n* Verkaufen\n* Dividende/Ausschüttung\n* Preis aktualisieren\n\nMVP:\n\n* Korrigieren muss funktionieren oder klar deaktiviert sein\n* Verlauf anzeigen muss funktionieren\n* Preis aktualisieren für diese Position sollte funktionieren oder klar deaktiviert sein\n\nKeine Fake-Buttons.\n\n## 11. Preisupdate wirklich nachvollziehbar machen\n\nDer Button „Bewertung aktualisieren“ soll nach Klick sichtbar erklären:\n\n* wie viele Instrumente geprüft\n* wie viele Preise aktualisiert\n* wie viele übersprungen\n* welche Provider genutzt\n* welche Instrumente weiterhin ohne Preis\n* ob FX fehlt\n\nKeine konkreten Werte im Chat nötig, aber im Dashboard darf der Nutzer sehen, was passiert.\n\nNach erfolgreichem Update:\n\n* Tabelle zeigt Kurs\n* Tabelle zeigt Marktwert CHF\n* Summary Cards aktualisieren sich\n\nWenn kein Preis gefunden:\n\n* klare Meldung je Position: „Preis fehlt“\n* nicht einfach unverändert lassen ohne Erklärung\n\n## 12. FX-Workflow für Nutzer nochmals prüfen\n\nBeim Erfassen von USD/EUR soll User Mode niemals interne Status wie ok, missing, manual_override_required zeigen.\n\nBitte echten UI-Test durchführen:\n\n* USD-Position hinzufügen\n* EUR-Position hinzufügen\n* CHF-Position hinzufügen\n\nErwartung:\n\n* CHF: FX nicht nötig\n* USD/EUR: System versucht FX automatisch\n* falls FX nicht gefunden: klare Auswahl „manuell eingeben“ oder „unvollständig speichern“\n* kein technisches Dropdown\n\n## 13. Command Center korrigieren\n\nCommand Center soll zeigen:\n\n* Gesamtportfolio CHF\n* Crypto CHF\n* Cash\nCHF\n* Aktien CHF\n* ETFs CHF\n* unbewertete Positionen\n* letzte Updates\n\nWenn Aktien/ETF/Cash nicht vollständig bewertet:\n\n* klar markieren\n* keine falschen 0-Werte\n\nTop Positionen:\n\n* Top Crypto\n* Top Aktien/ETF, falls bewertet\n* Top Cash/Depots optional\n* ansonsten Hinweis „noch nicht bewertet“\n\n## 14. Screenshots/Vorlagen analysieren\n\nIch habe im Google-Drive-Ordner:\n\nFinanzen/02 Vorlagen\n\nBeispiel-Screenshots von Portfolio-Dashboards abgelegt.\n\nBitte diese nur als UX-Inspiration analysieren:\n\n* keine Screenshots ins Git kopieren\n* keine echten Daten daraus übernehmen\n* keine Rohbilder committen\n\nBitte ableiten:\n\n* welche Layout-Ideen sinnvoll sind\n* welche Summary Cards sinnvoll sind\n* welche Tabellenstruktur sinnvoll ist\n* wie Details/Aktionen besser angeordnet werden können\n\nBericht kurz:\n\n* übernommene UX-Ideen\n* verworfene UX-Ideen\n* konkrete Anpassungen im Dashboard\n\n## 15. Streamlit vs Dash/NiceGUI/FastAPI+React bewerten\n\nBitte kurz prüfen und dokumentieren:\n\n* Kann Streamlit mit st.dataframe Row Selection ausreichend für MVP?\n* Wenn ja: nutzen.\n* Wenn nein: pragmatischer Fallback mit Karten/Buttons.\n\nBitte keine Migration jetzt.\n\nAber erstelle eine kurze technische Einschätzung:\n\n* Was mit Streamlit noch gut geht\n* Was mit Plotly Dash besser wäre\n* Was mit NiceGUI besser wäre\n* Wann FastAPI + React sinnvoll wäre\n\nMeine aktuelle Vermutung:\nFür MVP bleibt Streamlit möglich, aber nur wenn die User-Flows stark vereinfacht und nicht zu tabellarisch bleiben.\n\n## 16. Tests\n\nBitte Tests ergänzen für:\n\n* Cash erscheint nach Anbieter/Depot\n* Cash erscheint nach Assettyp\n* Cash erscheint in Gesamtportfolio\n* Review/Test-Accounts sind nicht im User Mode sichtbar\n* Summary Cards schneiden Status nicht ab bzw. liefern volle Labels im Data Model\n* Positionen können per Row Selection oder Button geöffnet werden\n* Detailpanel zeigt ausgewählte Position\n* User Mode zeigt keine technischen IDs\n* Preisupdate-Button zeigt Ergebniszusammenfassung\n* Preisupdate aktualisiert Marktwert wenn Preis+FX vorhanden\n* fehlender Preis bleibt klar markiert\n* FX-UI zeigt keine internen Statuswerte\n* Command Center zeigt Cash, Aktien, ETFs, Crypto getrennt\n* keine Live-API beim normalen Rendern\n* Git-Safety bleibt sauber\n\n## 17. Akzeptanz\n\nBitte erst als erledigt melden, wenn:\n\n* User Mode keine Review-/Test-Artefakte zeigt\n* Cash in allen relevanten Ansichten sichtbar ist\n* Nach Anbieter/Depot funktioniert\n* Nach Assettyp funktioniert\n* Alle Positionen funktioniert\n* Summary Cards sind lesbar, nicht abgeschnitten\n* Positionen sind aus der Liste heraus auswählbar oder per Öffnen-Button erreichbar\n* Detailpanel erscheint ohne Dropdown-Suchfrust\n* Preisupdate zeigt nachvollziehbare Resultate\n* FX-UI ist nutzerfreundlich\n* Command Center zeigt Gesamtportfolio sinnvoll\n* Tests grün\n* Git-Safety OK\n* Commit und Push erledigt\n\n## 18. Abschlussbericht\n\nBitte berichten:\n\n* Runtime-UI getestet: ja/nein\n* Review/Test-Artefakte entfernt: ja/nein\n* Cash-Gruppierung gefixt: ja/nein\n* Seite umbenannt/Struktur angepasst: ja/nein\n* Zusammenzüge ergänzt: ja/nein\n* Row Selection oder Öffnen-Buttons implementiert: ja/nein\n* Detailpanel funktioniert: ja/nein\n* Preisupdate nachvollziehbar: ja/nein\n* FX-UI geprüft: ja/nein\n* Command Center korrigiert: ja/nein\n* Vorlagen analysiert: ja/nein\n* Streamlit/Dash/NiceGUI-Einschätzung dokumentiert: ja/nein\n* Tests\n* Git-Safety\n* Commit-Hash\n* Push-Status\n* offene Grenzen\n\nWichtig:\nBitte keine weiteren „vorbereitet“-Meldungen. Entweder der User-Workflow ist sichtbar bedienbar, oder er gilt als offen."
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      "reasoning": "**Planning software execution**\n\nI need to figure things out before acting. First, do I have the finance system loaded already? It should be in place before I proceed with this task. I also wonder about whether I need to load any relevant software development tools, like those from GitHub for pull requests or test-driven development. Perhaps I’ll need screenshots from Google Drive as well. I should inspect the repository, but I think there’s time to organize this all with some todos.",
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          "text": "Image loaded into your context — you can see it natively now. Use your built-in vision to answer the user.\n\nQuestion: Analyze this portfolio dashboard screenshot only for UX inspiration. Summarize layout patterns, summary cards, table structure, row interaction/detail/action ideas. Do not transcribe any real values if present."
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"
          }
        }
      ],
      "tool_call_id": "call_iqMv1wjKABRaDMbipcrCAwrB"
    },
    {
      "role": "tool",
      "name": "vision_analyze",
      "content": "{\"error\": \"Only real image files are supported for vision analysis.\", \"success\": false}",
      "tool_call_id": "call_EEKP28f4EE0tIlYSgfTJxuN4"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Considering image format issues**\n\nI'm running into a problem with image formats. The initial attempt worked, but the second one seems to have failed, possibly due to a .webp format issue? I need to think about how to analyze this in the final output. Maybe I should convert the .webp image to a different format? I want to ensure I handle this correctly, so I’ll definitely take the time to figure it out!",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Considering image format issues**\n\nI'm running into a problem with image formats. The initial attempt worked, but the second one seems to have failed, possibly due to a .webp format issue? I need to think about how to analyze this in the final output. Maybe I should convert the .webp image to a different format? I want to ensure I handle this correctly, so I’ll definitely take the time to figure it out!",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqCHDYVE2WB9xWZxHdhfd3rBMuus2RdaeBduOqz1GOGWIt2E0Vq7OCI9G35_7SClhD8FWMsyAe8EhdkWlx507-nIsxIl3eZW--M6dNUIrdvQHly7fcNknIzCvnyMcoy2HLyVuN-pTmfoWfFHl9DzMpyLpuO2M9lpwYfxsUgeIZKRDqJmZaO0muks3-tmYQ85WMWk_8XT-WNyPX5_veNrJM5f606EMm4GvKk_3sN1lKVwYLSnoH_ZJcd42mtyZJV_7VoC3BiafTuqvxXeIkMl9VnXKLfF1gpUcGKjSvlA-WnAtqgCI5QNnuxDqzONpGwUo4-0Uh93hWT0bxaoYJzwOgetZOCPlq8hgHghTtUH-UQ2BW9Bjzt-SfI6l72XCA9L0igc4wJaJBgwqtfUozcZyRChTyRAFyzzBg-XQXo96ZVQWxhs_vkbS0UjOr2te8XvRXX6ujkdu7gHe6f2-v2NFPW9z6zGYS9YA7Yf_IOtU9Z6w5TS3ixKjWNWK7fuBW030Kkel1M67qKWfJNcRKewKPgTLhO-5BnjGhGg7m1pbWfhwMdynmN0LQ4phBxCMDcAt5oRjNXLQRfdDiO12LRaT80eM3_mQOkaIQOb9RgMxvEUNH-7wd4y0m6PnE3UJcA7We68gDq3fTjtxaNcByU-ZcGtRpwh_4TkSmKkNoKesAD1nSBpFSBtHZmj5Eew_8_vYIXyKKthxGS2b4y1qcml8oNk-N5sWKi-kuZOuHxM_RgUpOcoeAbTMXmubbAe2XsvayguW5hgve5vXi__wiLkc85QP9f7VjyoVOSwsYqFwTtkYYRyZAlfkpsQFKxIQxbN1MjVO_GPDQMgV1hES8iEaAgIG1JWw9QFe8XkJZe_DuCyoelYjPSL34YKqEgVQjIUT2B-2NzuBzBYScHKpprwfcgK4pvWuFqnn_hhYz9cz8hjBGF2iILQoZ6NVU56sBynLYm-T2GTbHfKmt1LnkXlmaJUed6bIsqVnvqH1foH-NETFKet1w7L4i9iQh6yszSbHrpgCkDST6RnF4Su4iDgnUALU9iOqsLiAVwrD32X-0jPy1UhcGDQuKiHbmqbD2Jl2S_trvOa2CZ-o8gs5vrQiBrYuW4A==",
          "id": "rs_04bb3c4ba9cb80fb016a0870d64ef0819191dd3a8099debdf3",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Considering image format issues**\n\nI'm running into a problem with image formats. The initial attempt worked, but the second one seems to have failed, possibly due to a .webp format issue? I need to think about how to analyze this in the final output. Maybe I should convert the .webp image to a different format? I want to ensure I handle this correctly, so I’ll definitely take the time to figure it out!"
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_BGpHqQrI2aT8tdCRR2kZ2Z5k",
          "call_id": "call_BGpHqQrI2aT8tdCRR2kZ2Z5k",
          "response_item_id": "fc_04bb3c4ba9cb80fb016a0870d8a21c8191b5cf41c4768925c4",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"file /tmp/finance_ux_templates/* && python - <<'PY'\\nfrom PIL import Image\\nfor src,dst in [('/tmp/finance_ux_templates/swissquote_positions.jpg','/tmp/finance_ux_templates/swissquote_positions.png'),('/tmp/finance_ux_templates/swissquote_dashboard.jpg','/tmp/finance_ux_templates/swissquote_dashboard.png')]:\\n im=Image.open(src); print(src, im.format, im.size); im.save(dst)\\nPY\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"/tmp/finance_ux_templates/swissquote_dashboard.jpg: ISO Media, AVIF Image\\n/tmp/finance_ux_templates/swissquote_positions.jpg: RIFF (little-endian) data, Web/P image, VP8 encoding, 1024x644, Scaling: [none]x[none], YUV color, decoders should clamp\\n/tmp/finance_ux_templates/swissquote_positions.jpg WEBP (1024, 644)\\n/tmp/finance_ux_templates/swissquote_dashboard.jpg AVIF (2266, 1496)\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_BGpHqQrI2aT8tdCRR2kZ2Z5k"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_dvNfDiutIywHr2NbSKFHzrRl",
          "call_id": "call_dvNfDiutIywHr2NbSKFHzrRl",
          "response_item_id": "fc_04bb3c4ba9cb80fb016a0870df0e548191876a48587e70dfa1",
          "type": "function",
          "function": {
            "name": "vision_analyze",
            "arguments": "{\"image_url\":\"/tmp/finance_ux_templates/swissquote_dashboard.png\",\"question\":\"Analyze this portfolio dashboard screenshot only for UX inspiration. Summarize layout patterns, summary cards, table structure, row interaction/detail/action ideas. Do not transcribe any real values if present.\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "vision_analyze",
      "content": [
        {
          "type": "text",
          "text": "Image loaded into your context — you can see it natively now. Use your built-in vision to answer the user.\n\nQuestion: Analyze this portfolio dashboard screenshot only for UX inspiration. Summarize layout patterns, summary cards, table structure, row interaction/detail/action ideas. Do not transcribe any real values if present."
        },
        {
          "type": "image_url",
          "image_url": {
            "url": 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"
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        }
      ],
      "tool_call_id": "call_dvNfDiutIywHr2NbSKFHzrRl"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqCHDoo3H27Plup0jBATv2lnRrjAHhPrzGHDJfJmUyE4hdRebuhvLSEjL4joUtuuhNk_tmz5eUHzsdyPx13j5If03JQsNCTS_ePP-SP0nCK3q2YT4MXLzZclnM9zs9tTP5NfHoRLxQXXK974snhIXwiLeidY_JEvhSd_l9xKPgNlYygtMP5UpVO36xwWfBE6GDkRHhPzOQ-FVff6anK2ZqyDjt3W8ev-FerjtdIyhaGNuDYIg1tzDVEm5MvZOTXPryNaNpo_hnqI9zSlrxFWEYGGL8C-tqZoPqnh9zA87MZ8fOavBNwq-54qyHEjpbwObtJSrfbM-wLQJAU0snq-8uK6GaZ3sab9Yw7_dTCDMQZI91A6afMis2zQQ0RCECiBLg6y-NXqV-78-sz-uK2ONcdZZ5tOIb5MW8zax5nMu9fg8DglQw3zuR2OVfN6G38lq1MpIoVju8uDWzDrF0DKQlkLnp0nlum5dPHLE9LsPupHiLshW8T7RiwRxIeLX2NL9PW0E7963tFDfNwB6A6PqY6xUSleEIM6pRHCvQHaw73YHJunmmrNQg1dihbmiLrHMMNqSPIs026vvMIu9ObVisr8yajDzo7iGX5E3mV1PAxVPbbymUm33fNcrH47J2IYPvZZ_tGn-D1LOVU7SqOk-7gyhzg9GeL2jteRERvo9lAqg7ToUJCEX1DNjX6wkmLNKe7waFUz-cadTwv8gd9wsQISFHKMClcxYLe0OOQ25G-AG0QdVheDjcaZYQ2dWMxv3vN7a6gmFtDa-kyQHWo3cL-p3vO5_CU8lgg7WKQPzPeJanfqWMrUS_RQQq6ZDBEjUmFKBqMQouKDeUjZ-J-GyAVJysJ4vW-ZP29QsFiE-pZ87Wk9s_OcumoPqnbN4ImGZMzDYtzytMX0JLSoT0-j84sjru2pWuFPyreU0Y2nldwLfV3oQd8XjTnZZ97dwpRsALMZvpKQg_tM0sOEDxR68liSXygVgdddeXCnroutOfuVjPc5A_T7b4wEagmfQ-sUnN6Z3xSHaw3YYfszEMZg9AgJ83Ew==",
          "id": "rs_04bb3c4ba9cb80fb016a0870e59f58819187688e945c9f5b23",
          "summary": []
        }
      ],
      "tool_calls": [
        {
          "id": "call_5jzyfN5uldAzz3wItYVcPopS",
          "call_id": "call_5jzyfN5uldAzz3wItYVcPopS",
          "response_item_id": "fc_04bb3c4ba9cb80fb016a0870e885bc8191970b30a19916e9c1",
          "type": "function",
          "function": {
            "name": "read_file",
            "arguments": "{\"limit\":1100,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|import json\\n     4|from decimal import Decimal, InvalidOperation, ROUND_HALF_UP\\n     5|from pathlib import Path\\n     6|from sqlite3 import Connection\\n     7|\\n     8|from jarvis_finance.config.settings import Settings\\n     9|from jarvis_finance.crypto.holdings import calculate_crypto_holdings\\n    10|from jarvis_finance.ledger.cash import calculate_cash_balances\\n    11|from jarvis_finance.ledger.positions import calculate_positions\\n    12|from jarvis_finance.market.providers import is_price_stale\\n    13|\\n    14|MONEY = Decimal(\\\"0.01\\\")\\n    15|\\n    16|\\n    17|def d(value: object, default: str = \\\"0\\\") -> Decimal:\\n    18|    if value is None or str(value).strip() == \\\"\\\":\\n    19|        return Decimal(default)\\n    20|    try:\\n    21|        return Decimal(str(value))\\n    22|    except InvalidOperation:\\n    23|        return Decimal(default)\\n    24|\\n    25|\\n    26|def dec_text(value: Decimal | int | str | None, places: str | None = None) -> str:\\n    27|    if value is None:\\n    28|        return \\\"\\\"\\n    29|    value = d(value)\\n    30|    if places:\\n    31|        value = value.quantize(Decimal(places), rounding=ROUND_HALF_UP)\\n    32|    return format(value, \\\"f\\\")\\n    33|\\n    34|\\n    35|def grouped_number(value: Decimal | int | str, places: str = \\\"0.01\\\") -> str:\\n    36|    text = dec_text(value, places)\\n    37|    whole, _, frac = text.partition(\\\".\\\")\\n    38|    sign = \\\"-\\\" if whole.startswith(\\\"-\\\") else \\\"\\\"\\n    39|    whole = whole.lstrip(\\\"-\\\")\\n    40|    groups: list[str] = []\\n    41|    while whole:\\n    42|        groups.append(whole[-3:])\\n    43|        whole = whole[:-3]\\n    44|    grouped = \\\"'\\\".join(reversed(groups)) if groups else \\\"0\\\"\\n    45|    return f\\\"{sign}{grouped}{('.' + frac) if frac else ''}\\\"\\n    46|\\n    47|\\n    48|def chf_text(value: Decimal | int | str | None) -> str:\\n    49|    if value is None:\\n    50|        return \\\"nicht bewertet\\\"\\n    51|    return f\\\"CHF {grouped_number(value)}\\\"\\n    52|\\n    53|\\n    54|def date_text(value: str | None) -> str:\\n    55|    if not value:\\n    56|        return \\\"\\\"\\n    57|    raw = str(value)\\n    58|    if \\\"T\\\" in raw:\\n    59|        return raw.split(\\\"T\\\", 1)[0]\\n    60|    return raw[:10]\\n    61|\\n    62|\\n    63|def money_text(value: Decimal | None, currency: str = \\\"CHF\\\") -> str:\\n    64|    if currency.upper() == \\\"CHF\\\":\\n    65|        return chf_text(value)\\n    66|    if value is None:\\n    67|        return f\\\"n/a {currency}\\\"\\n    68|    return f\\\"{dec_text(value, '0.01')} {currency}\\\"\\n    69|\\n    70|\\n    71|STATUS_LABELS = {\\n    72|    \\\"missing_market_price\\\": \\\"Preis fehlt\\\",\\n    73|    \\\"missing_provider_symbol\\\": \\\"Mapping fehlt\\\",\\n    74|    \\\"missing_price\\\": \\\"Preis fehlt\\\",\\n    75|    \\\"missing_fx\\\": \\\"FX-Kurs fehlt\\\",\\n    76|    \\\"cost_basis_uncertain\\\": \\\"Einstand unvollständig\\\",\\n    77|    \\\"incomplete\\\": \\\"Unvollständig\\\",\\n    78|    \\\"snapshot_only\\\": \\\"Snapshot-only\\\",\\n    79|    \\\"fresh\\\": \\\"Aktuell\\\",\\n    80|    \\\"stale\\\": \\\"Veraltet\\\",\\n    81|    \\\"missing\\\": \\\"Preis fehlt\\\",\\n    82|    \\\"unknown\\\": \\\"Ungeklärt\\\",\\n    83|    \\\"mapped\\\": \\\"Zugeordnet\\\",\\n    84|    \\\"confirmed\\\": \\\"Bestätigt\\\",\\n    85|    \\\"user_confirmed\\\": \\\"Bestätigt\\\",\\n    86|    \\\"ok\\\": \\\"Aktuell\\\",\\n    87|    \\\"warning\\\": \\\"Hinweis\\\",\\n    88|    \\\"critical\\\": \\\"Kritisch\\\",\\n    89|    \\\"kritisch\\\": \\\"Kritisch\\\",\\n    90|    \\\"warnung\\\": \\\"Wichtig\\\",\\n    91|    \\\"info\\\": \\\"Info\\\",\\n    92|    \\\"active\\\": \\\"Aktiv\\\",\\n    93|    \\\"inactive\\\": \\\"Inaktiv\\\",\\n    94|    \\\"verified\\\": \\\"Verifiziert\\\",\\n    95|}\\n    96|\\n    97|\\n    98|def translate_status(status: str | None) -> str:\\n    99|    if not status:\\n   100|        return \\\"Ungeklärt\\\"\\n   101|    return STATUS_LABELS.get(str(status), str(status).replace(\\\"_\\\", \\\" \\\").capitalize())\\n   102|\\n   103|\\n   104|def is_technical_note(text: str | None) -> bool:\\n   105|    if not text:\\n   106|        return False\\n   107|    lowered = text.lower()\\n   108|    markers = [\\\"productive initial crypto snapshot import\\\", \\\"no wallet address from xlsx\\\", \\\"initial crypto snapshot import\\\"]\\n   109|    return any(marker in lowered for marker in markers)\\n   110|\\n   111|\\n   112|def user_note(text: str | None) -> str:\\n   113|    return \\\"\\\" if is_technical_note(text) else (text or \\\"\\\")\\n   114|\\n   115|\\n   116|def visible_user_columns(row: dict[str, str]) -> list[str]:\\n   117|    hidden = {\\\"asset_id\\\", \\\"wallet_id\\\", \\\"instrument_id\\\", \\\"account_id\\\", \\\"entity_id\\\", \\\"rule_id\\\", \\\"source_id\\\", \\\"provider_symbol_status\\\", \\\"hedge_status\\\", \\\"dedup_key\\\", \\\"fingerprint\\\", \\\"raw_json\\\"}\\n   118|    return [k for k in row if not k.startswith(\\\"_\\\") and k not in hidden]\\n   119|\\n   120|\\n   121|def percent_text(value: Decimal | None) -> str:\\n   122|    if value is None:\\n   123|        return \\\"\\\"\\n   124|    return f\\\"{dec_text(value, '0.01')}%\\\"\\n   125|\\n   126|\\n   127|def price_status(price: dict[str, str] | None) -> str:\\n   128|    if not price:\\n   129|        return \\\"missing\\\"\\n   130|    return price.get(\\\"quality_status\\\") or \\\"missing\\\"\\n   131|\\n   132|\\n   133|def _latest_price_time(conn: Connection, *, currency: str = \\\"CHF\\\") -> str:\\n   134|    row = conn.execute(\\n   135|        \\\"\\\"\\\"\\n   136|        SELECT COALESCE(MAX(provider_timestamp), MAX(fetched_at)) AS ts\\n   137|        FROM crypto_prices WHERE price_currency=?\\n   138|        \\\"\\\"\\\",\\n   139|        (currency.upper(),),\\n   140|    ).fetchone()\\n   141|    return row[\\\"ts\\\"] if row and row[\\\"ts\\\"] else \\\"\\\"\\n   142|\\n   143|\\n   144|def _crypto_value_rows(conn: Connection, *, price_max_age_seconds: int = 86_400) -> list[dict[str, object]]:\\n   145|    holdings = calculate_crypto_holdings(conn)\\n   146|    rows: list[dict[str, object]] = []\\n   147|    for asset_id, holding in sorted(holdings.total_by_asset.items()):\\n   148|        asset = conn.execute(\\\"SELECT * FROM crypto_assets WHERE asset_id=?\\\", (asset_id,)).fetchone()\\n   149|        if not asset:\\n   150|            continue\\n   151|        price = latest_crypto_price(conn, asset_id, \\\"CHF\\\", max_age_seconds=price_max_age_seconds)\\n   152|        price_dec = d(price[\\\"price\\\"]) if price and price[\\\"price\\\"] else None\\n   153|        value = holding.quantity * price_dec if price_dec is not None else None\\n   154|        wallets = {wid for (wid, aid), wh in holdings.wallet_holdings.items() if aid == asset_id and wh.quantity != 0}\\n   155|        rows.append({\\n   156|            \\\"asset_id\\\": asset_id,\\n   157|            \\\"coin\\\": asset[\\\"coin_name\\\"],\\n   158|            \\\"symbol\\\": asset[\\\"symbol\\\"],\\n   159|            \\\"coingecko_id\\\": asset[\\\"coingecko_id\\\"] or \\\"\\\",\\n   160|            \\\"quantity\\\": holding.quantity,\\n   161|            \\\"price\\\": price_dec,\\n   162|            \\\"value\\\": value,\\n   163|            \\\"wallet_count\\\": len(wallets),\\n   164|            \\\"price_status\\\": price_status(price),\\n   165|            \\\"last_price_update\\\": (price[\\\"provider_timestamp\\\"] or price[\\\"fetched_at\\\"]) if price else \\\"\\\",\\n   166|        })\\n   167|    return rows\\n   168|\\n   169|\\n   170|def rowdicts(rows) -> list[dict[str, str]]:\\n   171|    return [{k: (\\\"\\\" if row[k] is None else str(row[k])) for k in row.keys()} for row in rows]\\n   172|\\n   173|\\n   174|def db_exists(path: str | Path) -> bool:\\n   175|    return Path(path).expanduser().exists()\\n   176|\\n   177|\\n   178|def runtime_outside_repo(settings: Settings, repo_root: Path) -> bool:\\n   179|    try:\\n   180|        settings.runtime_paths.base_dir.resolve().relative_to(repo_root.resolve())\\n   181|        return False\\n   182|    except ValueError:\\n   183|        return True\\n   184|\\n   185|\\n   186|def latest_crypto_price(conn: Connection, asset_id: str, currency: str = \\\"CHF\\\", *, max_age_seconds: int = 86_400) -> dict[str, str] | None:\\n   187|    row = conn.execute(\\n   188|        \\\"\\\"\\\"\\n   189|        SELECT price, price_currency, fetched_at, provider_timestamp, quality_status, provider\\n   190|        FROM crypto_prices\\n   191|        WHERE asset_id=? AND price_currency=?\\n   192|        ORDER BY COALESCE(provider_timestamp, fetched_at, '') DESC, fetched_at DESC LIMIT 1\\n   193|        \\\"\\\"\\\",\\n   194|        (asset_id, currency.upper()),\\n   195|    ).fetchone()\\n   196|    if not row:\\n   197|        return None\\n   198|    item = dict(row)\\n   199|    ts = item.get(\\\"provider_timestamp\\\") or item.get(\\\"fetched_at\\\")\\n   200|    if item.get(\\\"quality_status\\\") == \\\"fresh\\\" and is_price_stale(ts, max_age_seconds=max_age_seconds):\\n   201|        item[\\\"quality_status\\\"] = \\\"stale\\\"\\n   202|    return item\\n   203|\\n   204|\\n   205|def get_crypto_summary_cards(conn: Connection, *, price_max_age_seconds: int = 86_400) -> dict[str, str]:\\n   206|    rows = _crypto_value_rows(conn, price_max_age_seconds=price_max_age_seconds)\\n   207|    holdings = calculate_crypto_holdings(conn)\\n   208|    total_value = sum((r[\\\"value\\\"] for r in rows if r[\\\"value\\\"] is not None), Decimal(\\\"0\\\"))\\n   209|    missing = sum(1 for r in rows if r[\\\"price_status\\\"] == \\\"missing\\\")\\n   210|    stale = sum(1 for r in rows if r[\\\"price_status\\\"] == \\\"stale\\\")\\n   211|    wallets_with_holdings = {wid for (wid, _aid), holding in holdings.wallet_holdings.items() if holding.quantity != 0}\\n   212|    status = \\\"ok\\\" if missing == 0 and stale == 0 else (\\\"warning\\\" if missing or stale else \\\"ok\\\")\\n   213|    return {\\n   214|        \\\"total_value_chf\\\": dec_text(total_value),\\n   215|        \\\"coin_count\\\": str(len(rows)),\\n   216|        \\\"wallets_with_holdings\\\": str(len(wallets_with_holdings)),\\n   217|        \\\"holding_count\\\": str(sum(1 for h in holdings.wallet_holdings.values() if h.quantity != 0)),\\n   218|        \\\"coins_without_price\\\": str(missing),\\n   219|        \\\"stale_price_count\\\": str(stale),\\n   220|        \\\"last_price_update_at\\\": _latest_price_time(conn),\\n   221|        \\\"data_quality_status\\\": status,\\n   222|    }\\n   223|\\n   224|\\n   225|def _wallet_names_for_asset(conn: Connection, asset_id: str) -> list[str]:\\n   226|    holdings = calculate_crypto_holdings(conn)\\n   227|    names: list[str] = []\\n   228|    for (wallet_id, aid), holding in holdings.wallet_holdings.items():\\n   229|        if aid == asset_id and holding.quantity != 0:\\n   230|            row = conn.execute(\\\"SELECT wallet_name FROM crypto_wallets WHERE wallet_id=?\\\", (wallet_id,)).fetchone()\\n   231|            if row:\\n   232|                names.append(row[\\\"wallet_name\\\"])\\n   233|    return sorted(names)\\n   234|\\n   235|\\n   236|def get_crypto_coin_summary(\\n   237|    conn: Connection,\\n   238|    *,\\n   239|    admin_mode: bool = False,\\n   240|    price_max_age_seconds: int = 86_400,\\n   241|    sort_by: str = \\\"Wert absteigend\\\",\\n   242|    search: str | None = None,\\n   243|    status_filter: str | None = None,\\n   244|    wallet_filter: str | None = None,\\n   245|) -> list[dict[str, str]]:\\n   246|    raw = _crypto_value_rows(conn, price_max_age_seconds=price_max_age_seconds)\\n   247|    total = sum((r[\\\"value\\\"] for r in raw if r[\\\"value\\\"] is not None), Decimal(\\\"0\\\"))\\n   248|    out: list[dict[str, str]] = []\\n   249|    for r in sorted(raw, key=lambda item: item[\\\"value\\\"] or Decimal(\\\"-1\\\"), reverse=True):\\n   250|        value = r[\\\"value\\\"]\\n   251|        share = ((value / total) * Decimal(\\\"100\\\")) if value is not None and total else None\\n   252|        item = {\\n   253|            \\\"coin\\\": str(r[\\\"coin\\\"]),\\n   254|            \\\"symbol\\\": str(r[\\\"symbol\\\"]),\\n   255|            \\\"gesamtmenge\\\": dec_text(r[\\\"quantity\\\"]),\\n   256|            \\\"kurs_chf\\\": chf_text(r[\\\"price\\\"]) if r[\\\"price\\\"] is not None else \\\"nicht bewertet\\\",\\n   257|            \\\"gesamtwert_chf\\\": chf_text(value) if value is not None else \\\"nicht bewertet\\\",\\n   258|            \\\"anteil\\\": percent_text(share),\\n   259|            \\\"wallets\\\": str(r[\\\"wallet_count\\\"]),\\n   260|            \\\"status\\\": translate_status(str(r[\\\"price_status\\\"])),\\n   261|            \\\"_sort_value_chf\\\": dec_text(value or Decimal(\\\"0\\\"), \\\"0.01\\\"),\\n   262|            \\\"_last_price_update\\\": date_text(str(r[\\\"last_price_update\\\"])),\\n   263|            \\\"_asset_id\\\": str(r[\\\"asset_id\\\"]),\\n   264|            \\\"_wallet_names\\\": \\\" | \\\".join(_wallet_names_for_asset(conn, str(r[\\\"asset_id\\\"]))),\\n   265|        }\\n   266|        if admin_mode:\\n   267|            item.update({\\\"asset_id\\\": str(r[\\\"asset_id\\\"]), \\\"coingecko_id\\\": str(r[\\\"coingecko_id\\\"]), \\\"price_status\\\": str(r[\\\"price_status\\\"]), \\\"last_price_update\\\": str(r[\\\"last_price_update\\\"])})\\n   268|        out.append(item)\\n   269|    if search:\\n   270|        needle = search.lower()\\n   271|        out = [row for row in out if needle in row[\\\"coin\\\"].lower() or needle in row[\\\"symbol\\\"].lower()]\\n   272|    if status_filter and status_filter != \\\"Alle\\\":\\n   273|        out = [row for row in out if row[\\\"status\\\"] == status_filter]\\n   274|    if wallet_filter and wallet_filter != \\\"Alle\\\":\\n   275|        out = [row for row in out if wallet_filter in row.get(\\\"_wallet_names\\\", \\\"\\\")]\\n   276|    sorters = {\\n   277|        \\\"Wert absteigend\\\": lambda row: (d(row[\\\"_sort_value_chf\\\"]), row[\\\"coin\\\"]),\\n   278|        \\\"Wert aufsteigend\\\": lambda row: (d(row[\\\"_sort_value_chf\\\"]), row[\\\"coin\\\"]),\\n   279|        \\\"Name A–Z\\\": lambda row: row[\\\"coin\\\"].lower(),\\n   280|        \\\"Anteil\\\": lambda row: (d(row[\\\"anteil\\\"].replace(\\\"%\\\", \\\"\\\")), row[\\\"coin\\\"]),\\n   281|        \\\"Wallet-Anzahl\\\": lambda row: (int(row[\\\"wallets\\\"]), row[\\\"coin\\\"]),\\n   282|        \\\"Status\\\": lambda row: (row[\\\"status\\\"], row[\\\"coin\\\"]),\\n   283|    }\\n   284|    reverse = sort_by in {\\\"Wert absteigend\\\", \\\"Anteil\\\", \\\"Wallet-Anzahl\\\"}\\n   285|    return sorted(out, key=sorters.get(sort_by, sorters[\\\"Wert absteigend\\\"]), reverse=reverse)\\n   286|\\n   287|\\n   288|def get_crypto_coin_wallet_details(conn: Connection, asset_id: str, *, price_max_age_seconds: int = 86_400, admin_mode: bool = False) -> list[dict[str, str]]:\\n   289|    holdings = calculate_crypto_holdings(conn)\\n   290|    price = latest_crypto_price(conn, asset_id, \\\"CHF\\\", max_age_seconds=price_max_age_seconds)\\n   291|    price_dec = d(price[\\\"price\\\"]) if price and price[\\\"price\\\"] else None\\n   292|    total_qty = sum((h.quantity for (wid, aid), h in holdings.wallet_holdings.items() if aid == asset_id), Decimal(\\\"0\\\"))\\n   293|    rows: list[dict[str, str]] = []\\n   294|    for (wallet_id, aid), holding in sorted(holdings.wallet_holdings.items()):\\n   295|        if aid != asset_id or holding.quantity == 0:\\n   296|            continue\\n   297|        wallet = conn.execute(\\\"SELECT wallet_name, wallet_type, platform_provider, notes FROM crypto_wallets WHERE wallet_id=?\\\", (wallet_id,)).fetchone()\\n   298|        value = holding.quantity * price_dec if price_dec is not None else None\\n   299|        share = (holding.quantity / total_qty * Decimal(\\\"100\\\")) if total_qty else None\\n   300|        item = {\\n   301|            \\\"wallet\\\": wallet[\\\"wallet_name\\\"] if wallet else wallet_id,\\n   302|            \\\"typ\\\": wallet[\\\"wallet_type\\\"] if wallet else \\\"\\\",\\n   303|            \\\"menge\\\": dec_text(holding.quantity),\\n   304|            \\\"wert_chf\\\": chf_text(value) if value is not None else \\\"nicht bewertet\\\",\\n   305|            \\\"anteil\\\": percent_text(share),\\n   306|            \\\"letzte_verifikation\\\": date_text(holding.last_verified_at),\\n   307|            \\\"status\\\": translate_status(holding.verification_status),\\n   308|            \\\"notiz\\\": user_note(wallet[\\\"notes\\\"] if wallet and wallet[\\\"notes\\\"] else \\\"\\\"),\\n   309|            \\\"_wallet_id\\\": wallet_id,\\n   310|            \\\"_asset_id\\\": asset_id,\\n   311|        }\\n   312|        if admin_mode:\\n   313|            item.update({\\\"wallet_id\\\": wallet_id, \\\"asset_id\\\": asset_id})\\n   314|        rows.append(item)\\n   315|    return rows\\n   316|\\n   317|\\n   318|def get_wallet_overview_cards(conn: Connection, *, price_max_age_seconds: int = 86_400) -> dict[str, str]:\\n   319|    rows = get_wallet_user_overview(conn, price_max_age_seconds=price_max_age_seconds)\\n   320|    total_value = sum((d(r[\\\"_numeric_value_chf\\\"]) for r in rows), Decimal(\\\"0\\\"))\\n   321|    missing_verification = sum(1 for r in rows if not r.get(\\\"last_verified_at\\\"))\\n   322|    return {\\\"wallet_count\\\": str(len(rows)), \\\"total_value_chf\\\": dec_text(total_value), \\\"wallets_missing_verification\\\": str(missing_verification)}\\n   323|\\n   324|\\n   325|def get_wallet_user_overview(conn: Connection, *, price_max_age_seconds: int = 86_400, admin_mode: bool = False) -> list[dict[str, str]]:\\n   326|    holdings = calculate_crypto_holdings(conn)\\n   327|    rows: list[dict[str, str]] = []\\n   328|    for wallet in conn.execute(\\\"SELECT * FROM crypto_wallets ORDER BY wallet_name\\\").fetchall():\\n   329|        value = Decimal(\\\"0\\\")\\n   330|        has_missing_price = False\\n   331|        coins: set[str] = set()\\n   332|        for (wallet_id, asset_id), holding in holdings.wallet_holdings.items():\\n   333|            if wallet_id != wallet[\\\"wallet_id\\\"] or holding.quantity == 0:\\n   334|                continue\\n   335|            coins.add(asset_id)\\n   336|            price = latest_crypto_price(conn, asset_id, \\\"CHF\\\", max_age_seconds=price_max_age_seconds)\\n   337|            if price and price.get(\\\"price\\\"):\\n   338|                value += holding.quantity * d(price[\\\"price\\\"])\\n   339|            else:\\n   340|                has_missing_price = True\\n   341|        item = {\\n   342|            \\\"wallet_name\\\": wallet[\\\"wallet_name\\\"],\\n   343|            \\\"wallet_type\\\": wallet[\\\"wallet_type\\\"],\\n   344|            \\\"provider\\\": wallet[\\\"platform_provider\\\"] or \\\"\\\",\\n   345|            \\\"total_value_chf\\\": chf_text(value) if not has_missing_price else f\\\"{chf_text(value)} + unbewertet\\\",\\n   346|            \\\"coin_count\\\": str(len(coins)),\\n   347|            \\\"last_verified_at\\\": date_text(wallet[\\\"last_verified_at\\\"]),\\n   348|            \\\"status\\\": translate_status(\\\"active\\\" if int(wallet[\\\"is_active\\\"] or 0) else \\\"inactive\\\"),\\n   349|            \\\"actions\\\": \\\"Öffnen · Coin hinzufügen · Korrigieren · Transfer\\\",\\n   350|            \\\"_numeric_value_chf\\\": dec_text(value, \\\"0.01\\\"),\\n   351|            \\\"_wallet_id\\\": wallet[\\\"wallet_id\\\"],\\n   352|        }\\n   353|        if admin_mode:\\n   354|            item[\\\"wallet_id\\\"] = wallet[\\\"wallet_id\\\"]\\n   355|        rows.append(item)\\n   356|    return rows\\n   357|\\n   358|\\n   359|def get_wallet_coin_details(conn: Connection, wallet_id: str, *, price_max_age_seconds: int = 86_400, admin_mode: bool = False) -> list[dict[str, str]]:\\n   360|    holdings = calculate_crypto_holdings(conn)\\n   361|    rows: list[dict[str, str]] = []\\n   362|    for (wid, asset_id), holding in sorted(holdings.wallet_holdings.items()):\\n   363|        if wid != wallet_id or holding.quantity == 0:\\n   364|            continue\\n   365|        asset = conn.execute(\\\"SELECT coin_name, symbol FROM crypto_assets WHERE asset_id=?\\\", (asset_id,)).fetchone()\\n   366|        price = latest_crypto_price(conn, asset_id, \\\"CHF\\\", max_age_seconds=price_max_age_seconds)\\n   367|        price_dec = d(price[\\\"price\\\"]) if price and price[\\\"price\\\"] else None\\n   368|        value = holding.quantity * price_dec if price_dec is not None else None\\n   369|        item = {\\n   370|            \\\"coin\\\": asset[\\\"coin_name\\\"] if asset else asset_id,\\n   371|            \\\"symbol\\\": asset[\\\"symbol\\\"] if asset else \\\"\\\",\\n   372|            \\\"menge\\\": dec_text(holding.quantity),\\n   373|            \\\"wert_chf\\\": chf_text(value) if value is not None else \\\"nicht bewertet\\\",\\n   374|            \\\"status\\\": translate_status(price_status(price)),\\n   375|            \\\"actions\\\": \\\"Bestand korrigieren · Transfer aus Wallet · Audit anzeigen\\\",\\n   376|            \\\"_asset_id\\\": asset_id,\\n   377|            \\\"_wallet_id\\\": wallet_id,\\n   378|        }\\n   379|        if admin_mode:\\n   380|            item.update({\\\"asset_id\\\": asset_id, \\\"wallet_id\\\": wallet_id})\\n   381|        rows.append(item)\\n   382|    return rows\\n   383|\\n   384|\\n   385|def get_crypto_coin_allocation_chart(conn: Connection, *, price_max_age_seconds: int = 86_400) -> list[dict[str, str]]:\\n   386|    rows = _crypto_value_rows(conn, price_max_age_seconds=price_max_age_seconds)\\n   387|    out = []\\n   388|    for r in sorted(rows, key=lambda item: item[\\\"value\\\"] or Decimal(\\\"-1\\\"), reverse=True):\\n   389|        if r[\\\"value\\\"] is not None:\\n   390|            out.append({\\\"label\\\": str(r[\\\"coin\\\"]), \\\"value_chf\\\": dec_text(r[\\\"value\\\"], \\\"0.01\\\")})\\n   391|    return out\\n   392|\\n   393|\\n   394|def get_crypto_wallet_allocation_chart(conn: Connection, *, price_max_age_seconds: int = 86_400) -> list[dict[str, str]]:\\n   395|    rows = get_wallet_user_overview(conn, price_max_age_seconds=price_max_age_seconds)\\n   396|    out = []\\n   397|    for row in rows:\\n   398|        value = row[\\\"_numeric_value_chf\\\"]\\n   399|        if d(value) > 0:\\n   400|            out.append({\\\"label\\\": row[\\\"wallet_name\\\"], \\\"value_chf\\\": dec_text(value, \\\"0.01\\\")})\\n   401|    return sorted(out, key=lambda item: d(item[\\\"value_chf\\\"]), reverse=True)\\n   402|\\n   403|\\n   404|def get_crypto_coin_detail(conn: Connection, asset_id: str, *, price_max_age_seconds: int = 86_400) -> dict[str, object]:\\n   405|    row = next((r for r in _crypto_value_rows(conn, price_max_age_seconds=price_max_age_seconds) if r[\\\"asset_id\\\"] == asset_id), None)\\n   406|    if not row:\\n   407|        return {}\\n   408|    all_value = sum((r[\\\"value\\\"] for r in _crypto_value_rows(conn, price_max_age_seconds=price_max_age_seconds) if r[\\\"value\\\"] is not None), Decimal(\\\"0\\\"))\\n   409|    value = row[\\\"value\\\"]\\n   410|    share = (value / all_value * Decimal(\\\"100\\\")) if value is not None and all_value else None\\n   411|    latest_price = latest_crypto_price(conn, asset_id, \\\"CHF\\\", max_age_seconds=price_max_age_seconds)\\n   412|    return {\\n   413|        \\\"coin\\\": str(row[\\\"coin\\\"]),\\n   414|        \\\"symbol\\\": str(row[\\\"symbol\\\"]),\\n   415|        \\\"gesamtmenge\\\": dec_text(row[\\\"quantity\\\"]),\\n   416|        \\\"gesamtwert_chf\\\": chf_text(value) if value is not None else \\\"nicht bewertet\\\",\\n   417|        \\\"kurs_chf\\\": chf_text(row[\\\"price\\\"]) if row[\\\"price\\\"] is not None else \\\"nicht bewertet\\\",\\n   418|        \\\"anteil\\\": percent_text(share),\\n   419|        \\\"preisstatus\\\": translate_status(str(row[\\\"price_status\\\"])),\\n   420|        \\\"letzte_preisaktualisierung\\\": date_text(str(row[\\\"last_price_update\\\"])),\\n   421|        \\\"preisquelle\\\": str(latest_price.get(\\\"provider\\\") or \\\"unbekannt\\\") if latest_price else \\\"unbekannt\\\",\\n   422|        \\\"cache_status\\\": \\\"lokaler Cache\\\" if latest_price else \\\"kein lokaler Preis\\\",\\n   423|        \\\"coingecko_link\\\": f\\\"https://www.coingecko.com/en/coins/{row['coingecko_id']}\\\" if row.get(\\\"coingecko_id\\\") else \\\"\\\",\\n   424|        \\\"wallets\\\": get_crypto_coin_wallet_details(conn, asset_id, price_max_age_seconds=price_max_age_seconds),\\n   425|        \\\"actions\\\": [\\\"Bestand hinzufügen\\\", \\\"Bestand korrigieren\\\", \\\"Transfer\\\", \\\"Bestand auf 0 setzen\\\", \\\"Audit / Verlauf anzeigen\\\"],\\n   426|    }\\n   427|\\n   428|\\n   429|def get_wallet_detail(conn: Connection, wallet_id: str, *, price_max_age_seconds: int = 86_400) -> dict[str, object]:\\n   430|    wallet = next((w for w in get_wallet_user_overview(conn, price_max_age_seconds=price_max_age_seconds, admin_mode=True) if w.get(\\\"wallet_id\\\") == wallet_id), None)\\n   431|    if not wallet:\\n   432|        return {}\\n   433|    return {\\n   434|        \\\"wallet_name\\\": wallet[\\\"wallet_name\\\"],\\n   435|        \\\"typ\\\": wallet[\\\"wallet_type\\\"],\\n   436|        \\\"provider\\\": wallet[\\\"provider\\\"],\\n   437|        \\\"gesamtwert_chf\\\": wallet[\\\"total_value_chf\\\"],\\n   438|        \\\"coins\\\": get_wallet_coin_details(conn, wallet_id, price_max_age_seconds=price_max_age_seconds),\\n   439|        \\\"letzte_verifikation\\\": wallet[\\\"last_verified_at\\\"],\\n   440|        \\\"notizen\\\": user_note(wallet.get(\\\"notes\\\", \\\"\\\")),\\n   441|        \\\"status\\\": wallet[\\\"status\\\"],\\n   442|        \\\"actions\\\": [\\\"Coin in Wallet hinzufügen\\\", \\\"Bestand korrigieren\\\", \\\"Transfer aus Wallet\\\", \\\"Wallet verifizieren\\\", \\\"Wallet bearbeiten\\\", \\\"Wallet deaktivieren\\\"],\\n   443|    }\\n   444|\\n   445|\\n   446|def get_crypto_overview(conn: Connection, *, price_max_age_seconds: int = 86_400) -> list[dict[str, str]]:\\n   447|    holdings = calculate_crypto_holdings(conn)\\n   448|    rows: list[dict[str, str]] = []\\n   449|    for asset_id, holding in sorted(holdings.total_by_asset.items()):\\n   450|        qty = holding.quantity\\n   451|        asset = conn.execute(\\\"SELECT * FROM crypto_assets WHERE asset_id=?\\\", (asset_id,)).fetchone()\\n   452|        if not asset:\\n   453|            continue\\n   454|        price = latest_crypto_price(conn, asset_id, \\\"CHF\\\", max_age_seconds=price_max_age_seconds)\\n   455|        price_dec = d(price[\\\"price\\\"]) if price and price[\\\"price\\\"] else None\\n   456|        value = qty * price_dec if price_dec is not None else None\\n   457|        rows.append({\\n   458|            \\\"asset_id\\\": asset_id,\\n   459|            \\\"coin_name\\\": asset[\\\"coin_name\\\"],\\n   460|            \\\"symbol\\\": asset[\\\"symbol\\\"],\\n   461|            \\\"coingecko_id\\\": asset[\\\"coingecko_id\\\"] or \\\"\\\",\\n   462|            \\\"quantity\\\": dec_text(qty),\\n   463|            \\\"latest_price_chf\\\": dec_text(price_dec, \\\"0.01\\\") if price_dec is not None else \\\"\\\",\\n   464|            \\\"market_value_chf\\\": dec_text(value, \\\"0.01\\\") if value is not None else \\\"\\\",\\n   465|            \\\"price_quality\\\": price[\\\"quality_status\\\"] if price else \\\"missing\\\",\\n   466|            \\\"fetched_at\\\": price[\\\"fetched_at\\\"] if price else \\\"\\\",\\n   467|        })\\n   468|    return rows\\n   469|\\n   470|\\n   471|def get_crypto_by_wallet(conn: Connection, *, price_max_age_seconds: int = 86_400) -> list[dict[str, str]]:\\n   472|    holdings = calculate_crypto_holdings(conn)\\n   473|    rows: list[dict[str, str]] = []\\n   474|    for (wallet_id, asset_id), holding in sorted(holdings.wallet_holdings.items()):\\n   475|        wallet = conn.execute(\\\"SELECT wallet_name, wallet_type, platform_provider FROM crypto_wallets WHERE wallet_id=?\\\", (wallet_id,)).fetchone()\\n   476|        asset = conn.execute(\\\"SELECT coin_name, symbol, coingecko_id FROM crypto_assets WHERE asset_id=?\\\", (asset_id,)).fetchone()\\n   477|        price = latest_crypto_price(conn, asset_id, \\\"CHF\\\", max_age_seconds=price_max_age_seconds)\\n   478|        price_dec = d(price[\\\"price\\\"]) if price and price[\\\"price\\\"] else None\\n   479|        value = holding.quantity * price_dec if price_dec is not None else None\\n   480|        rows.append({\\n   481|            \\\"wallet_id\\\": wallet_id,\\n   482|            \\\"wallet_name\\\": wallet[\\\"wallet_name\\\"] if wallet else wallet_id,\\n   483|            \\\"wallet_type\\\": wallet[\\\"wallet_type\\\"] if wallet else \\\"\\\",\\n   484|            \\\"provider\\\": wallet[\\\"platform_provider\\\"] if wallet else \\\"\\\",\\n   485|            \\\"coin_name\\\": asset[\\\"coin_name\\\"] if asset else asset_id,\\n   486|            \\\"symbol\\\": asset[\\\"symbol\\\"] if asset else \\\"\\\",\\n   487|            \\\"coingecko_id\\\": asset[\\\"coingecko_id\\\"] if asset else \\\"\\\",\\n   488|            \\\"quantity\\\": dec_text(holding.quantity),\\n   489|            \\\"market_value_chf\\\": dec_text(value, \\\"0.01\\\") if value is not None else \\\"\\\",\\n   490|            \\\"wallet_value_chf\\\": dec_text(value, \\\"0.01\\\") if value is not None else \\\"\\\",\\n   491|            \\\"price_quality\\\": price[\\\"quality_status\\\"] if price else \\\"missing\\\",\\n   492|            \\\"price_fetched_at\\\": price[\\\"fetched_at\\\"] if price else \\\"\\\",\\n   493|            \\\"verification_status\\\": holding.verification_status,\\n   494|            \\\"last_verified_at\\\": holding.last_verified_at or \\\"\\\",\\n   495|        })\\n   496|    return rows\\n   497|\\n   498|\\n   499|def get_wallets(conn: Connection) -> list[dict[str, str]]:\\n   500|    return rowdicts(conn.execute(\\n   501|        \\\"\\\"\\\"\\n   502|        SELECT wallet_id, wallet_name, wallet_type, platform_provider AS provider,\\n   503|               network_chain, last_verified_at, is_active, notes\\n   504|        FROM crypto_wallets ORDER BY wallet_name\\n   505|        \\\"\\\"\\\"\\n   506|    ).fetchall())\\n   507|\\n   508|\\n   509|def get_latest_crypto_transactions(conn: Connection, limit: int = 20) -> list[dict[str, str]]:\\n   510|    return rowdicts(conn.execute(\\n   511|        \\\"\\\"\\\"\\n   512|        SELECT ct.transaction_datetime, ct.transaction_type, ca.symbol, ct.quantity, ct.fee_quantity,\\n   513|               fw.wallet_name AS from_wallet, tw.wallet_name AS to_wallet, ct.currency_original,\\n   514|               ct.amount_chf, ct.confirmation_status, ct.source\\n   515|        FROM crypto_transactions ct\\n   516|        LEFT JOIN crypto_assets ca ON ca.asset_id=ct.asset_id\\n   517|        LEFT JOIN crypto_wallets fw ON fw.wallet_id=ct.from_wallet_id\\n   518|        LEFT JOIN crypto_wallets tw ON tw.wallet_id=ct.to_wallet_id\\n   519|        ORDER BY ct.transaction_datetime DESC, ct.created_at DESC LIMIT ?\\n   520|        \\\"\\\"\\\", (limit,)\\n   521|    ).fetchall())\\n   522|\\n   523|\\n   524|def get_platform_overview(conn: Connection) -> list[dict[str, str]]:\\n   525|    return rowdicts(conn.execute(\\n   526|        \\\"\\\"\\\"\\n   527|        SELECT p.name AS platform, p.platform_type, a.account_name, a.account_type, a.currency,\\n   528|               a.performance_included, a.is_active\\n   529|        FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id\\n   530|        ORDER BY p.name, a.account_name\\n   531|        \\\"\\\"\\\"\\n   532|    ).fetchall())\\n   533|\\n   534|\\n   535|def get_cash_overview(conn: Connection) -> list[dict[str, str]]:\\n   536|    result = calculate_cash_balances(conn)\\n   537|    rows: list[dict[str, str]] = []\\n   538|    for (account_id, currency), bal in sorted(result.balances.items()):\\n   539|        row = conn.execute(\\n   540|            \\\"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   541|            (account_id,),\\n   542|        ).fetchone()\\n   543|        rows.append({\\n   544|            \\\"platform\\\": row[\\\"platform\\\"] if row else \\\"\\\",\\n   545|            \\\"account_name\\\": row[\\\"account_name\\\"] if row else account_id,\\n   546|            \\\"currency\\\": currency,\\n   547|            \\\"amount_original\\\": dec_text(bal.amount_original, \\\"0.01\\\"),\\n   548|            \\\"amount_chf\\\": dec_text(bal.amount_chf, \\\"0.01\\\") if bal.amount_chf is not None else \\\"\\\",\\n   549|            \\\"quality_status\\\": bal.quality_status,\\n   550|        })\\n   551|    return rows\\n   552|\\n   553|\\n   554|def get_positions(conn: Connection) -> list[dict[str, str]]:\\n   555|    result = calculate_positions(conn)\\n   556|    rows: list[dict[str, str]] = []\\n   557|    for (account_id, instrument_id), pos in sorted(result.positions.items()):\\n   558|        row = conn.execute(\\n   559|            \\\"\\\"\\\"\\n   560|            SELECT a.account_name, p.name AS platform, i.name, i.ticker, i.isin, i.asset_class, i.currency,\\n   561|                   i.hedge_status, i.instrument_status, i.valuation_policy, i.corporate_action_status,\\n   562|                   mp.close AS latest_price, mp.currency AS latest_price_currency, mp.price_date AS latest_price_date,\\n   563|                   mp.provider AS latest_price_provider\\n   564|            FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id\\n   565|            JOIN instruments i ON i.instrument_id=?\\n   566|            LEFT JOIN market_prices mp ON mp.market_price_id = (\\n   567|                SELECT market_price_id FROM market_prices\\n   568|                WHERE instrument_id=i.instrument_id AND quality_status IN ('fresh','ok')\\n   569|                ORDER BY price_date DESC, created_at DESC LIMIT 1\\n   570|            )\\n   571|            WHERE a.account_id=?\\n   572|            \\\"\\\"\\\",\\n   573|            (instrument_id, account_id),\\n   574|        ).fetchone()\\n   575|        rows.append({\\n   576|            \\\"account_id\\\": account_id,\\n   577|            \\\"instrument_id\\\": instrument_id,\\n   578|            \\\"platform\\\": row[\\\"platform\\\"] if row else \\\"\\\",\\n   579|            \\\"account_name\\\": row[\\\"account_name\\\"] if row else account_id,\\n   580|            \\\"asset_class\\\": row[\\\"asset_class\\\"] if row else \\\"\\\",\\n   581|            \\\"name\\\": row[\\\"name\\\"] if row else instrument_id,\\n   582|            \\\"ticker\\\": row[\\\"ticker\\\"] if row else \\\"\\\",\\n   583|            \\\"isin\\\": row[\\\"isin\\\"] if row else \\\"\\\",\\n   584|            \\\"quantity\\\": dec_text(pos.quantity),\\n   585|            \\\"cost_basis_chf\\\": dec_text(pos.cost_basis_chf, \\\"0.01\\\"),\\n   586|            \\\"market_price_original\\\": dec_text(pos.market_price_original, \\\"0.01\\\") if pos.market_price_original is not None else \\\"\\\",\\n   587|            \\\"price_currency\\\": row[\\\"latest_price_currency\\\"] if row else \\\"\\\",\\n   588|            \\\"price_date\\\": date_text(row[\\\"latest_price_date\\\"] if row else \\\"\\\"),\\n   589|            \\\"price_provider\\\": row[\\\"latest_price_provider\\\"] if row else \\\"\\\",\\n   590|            \\\"market_value_chf\\\": dec_text(pos.market_value_chf, \\\"0.01\\\") if pos.market_value_chf is not None else \\\"\\\",\\n   591|            \\\"price_status\\\": \\\"ok\\\" if pos.market_price_original is not None else \\\"missing_market_price\\\",\\n   592|            \\\"provider_symbol_status\\\": \\\"mapped\\\" if conn.execute(\\\"SELECT 1 FROM instrument_price_mappings WHERE instrument_id=? AND mapping_status IN ('mapped','confirmed','user_confirmed') AND provider_symbol IS NOT NULL LIMIT 1\\\", (instrument_id,)).fetchone() else \\\"missing_provider_symbol\\\",\\n   593|            \\\"hedge_status\\\": row[\\\"hedge_status\\\"] if row else pos.hedge_status,\\n   594|            \\\"instrument_status\\\": row[\\\"instrument_status\\\"] if row else pos.instrument_status,\\n   595|            \\\"valuation_policy\\\": row[\\\"valuation_policy\\\"] if row else pos.valuation_policy,\\n   596|            \\\"fx_status\\\": \\\"ok\\\" if \\\"missing_fx\\\" not in pos.quality_warnings else \\\"missing_fx\\\",\\n   597|            \\\"market_price_status\\\": \\\"ok\\\" if pos.market_price_original is not None else \\\"missing_market_price\\\",\\n   598|            \\\"valuation_timestamp_status\\\": pos.valuation_timestamp_status,\\n   599|            \\\"corporate_action_status\\\": row[\\\"corporate_action_status\\\"] if row else pos.corporate_action_status,\\n   600|            \\\"valuation_status\\\": pos.valuation_status,\\n   601|            \\\"total_return_chf\\\": dec_text(pos.total_return_chf, \\\"0.01\\\") if pos.total_return_chf is not None else \\\"\\\",\\n   602|            \\\"total_return_status\\\": \\\"complete\\\" if pos.total_return_chf is not None else \\\"incomplete\\\",\\n   603|            \\\"quality_warnings\\\": \\\",\\\".join(pos.quality_warnings),\\n   604|            \\\"data_quality_status\\\": pos.data_quality_status,\\n   605|        })\\n   606|    return rows\\n   607|\\n   608|\\n   609|def get_portfolio_positions_user(conn: Connection) -> list[dict[str, str]]:\\n   610|    rows: list[dict[str, str]] = []\\n   611|    for row in get_positions(conn):\\n   612|        if row.get(\\\"asset_class\\\", \\\"\\\").lower() not in {\\\"stock\\\", \\\"equity\\\", \\\"etf\\\"}:\\n   613|            continue\\n   614|        rows.append({\\n   615|            \\\"name\\\": row.get(\\\"name\\\", \\\"\\\"),\\n   616|            \\\"ticker\\\": row.get(\\\"ticker\\\", \\\"\\\"),\\n   617|            \\\"isin\\\": row.get(\\\"isin\\\", \\\"\\\"),\\n   618|            \\\"depot\\\": row.get(\\\"account_name\\\", \\\"\\\"),\\n   619|            \\\"assettyp\\\": \\\"ETF\\\" if row.get(\\\"asset_class\\\", \\\"\\\").lower() == \\\"etf\\\" else \\\"Aktie\\\",\\n   620|            \\\"menge\\\": row.get(\\\"quantity\\\", \\\"\\\"),\\n   621|            \\\"kurs\\\": row.get(\\\"market_price_original\\\") or \\\"Preis noch nicht verfügbar\\\",\\n   622|            \\\"kurswaehrung\\\": row.get(\\\"price_currency\\\", \\\"\\\"),\\n   623|            \\\"marktwert_chf\\\": chf_text(row.get(\\\"market_value_chf\\\")) if row.get(\\\"market_value_chf\\\") else \\\"nicht bewertet\\\",\\n   624|            \\\"einstand_chf\\\": chf_text(row.get(\\\"cost_basis_chf\\\")) if row.get(\\\"cost_basis_chf\\\") else \\\"unvollständig\\\",\\n   625|            \\\"p_l_chf\\\": chf_text(row.get(\\\"total_return_chf\\\")) if row.get(\\\"total_return_chf\\\") else \\\"nicht berechenbar\\\",\\n   626|            \\\"status\\\": translate_status(row.get(\\\"price_status\\\") or row.get(\\\"data_quality_status\\\")),\\n   627|        })\\n   628|    return rows\\n   629|\\n   630|\\n   631|def get_portfolio_asset_class_chart(conn: Connection) -> list[dict[str, str]]:\\n   632|    summary = get_command_center_summary(conn)\\n   633|    return [\\n   634|        {\\\"label\\\": \\\"Crypto\\\", \\\"value_chf\\\": summary[\\\"crypto_total_chf\\\"]},\\n   635|        {\\\"label\\\": \\\"Aktien/ETF\\\", \\\"value_chf\\\": summary[\\\"equity_etf_total_chf\\\"]},\\n   636|        {\\\"label\\\": \\\"Cash\\\", \\\"value_chf\\\": summary[\\\"cash_total_chf\\\"]},\\n   637|    ]\\n   638|\\n   639|\\n   640|def get_platform_value_chart(conn: Connection) -> list[dict[str, str]]:\\n   641|    totals: dict[str, Decimal] = {}\\n   642|    for row in get_cash_overview(conn):\\n   643|        totals[row[\\\"platform\\\"]] = totals.get(row[\\\"platform\\\"], Decimal(\\\"0\\\")) + d(row.get(\\\"amount_chf\\\"))\\n   644|    for row in get_positions(conn):\\n   645|        totals[row[\\\"platform\\\"]] = totals.get(row[\\\"platform\\\"], Decimal(\\\"0\\\")) + d(row.get(\\\"market_value_chf\\\"))\\n   646|    crypto_total = d(get_crypto_summary_cards(conn)[\\\"total_value_chf\\\"])\\n   647|    if crypto_total:\\n   648|        totals[\\\"Crypto Wallets\\\"] = totals.get(\\\"Crypto Wallets\\\", Decimal(\\\"0\\\")) + crypto_total\\n   649|    return [{\\\"label\\\": k, \\\"value_chf\\\": dec_text(v, \\\"0.01\\\")} for k, v in sorted(totals.items(), key=lambda item: item[1], reverse=True)]\\n   650|\\n   651|\\n   652|def get_ledger_transactions(conn: Connection, limit: int = 200) -> list[dict[str, str]]:\\n   653|    return rowdicts(conn.execute(\\n   654|        \\\"\\\"\\\"\\n   655|        SELECT t.trade_date, p.name AS platform, a.account_name, t.transaction_type,\\n   656|               i.name AS instrument, i.ticker, t.quantity, t.gross_amount_original,\\n   657|               t.net_amount_original, t.currency_original, t.fx_status, t.quality_status,\\n   658|               t.source_type, t.source_id\\n   659|        FROM transactions t\\n   660|        LEFT JOIN accounts a ON a.account_id=t.account_id\\n   661|        LEFT JOIN platforms p ON p.platform_id=a.platform_id\\n   662|        LEFT JOIN instruments i ON i.instrument_id=t.instrument_id\\n   663|        ORDER BY t.trade_date DESC, t.created_at DESC LIMIT ?\\n   664|        \\\"\\\"\\\", (limit,)\\n   665|    ).fetchall())\\n   666|\\n   667|\\n   668|def get_watchlist(conn: Connection) -> list[dict[str, str]]:\\n   669|    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   670|\\n   671|\\n   672|def resolve_alert_entity_label(conn: Connection, entity_type: str | None, entity_id: str | None) -> str:\\n   673|    if not entity_id:\\n   674|        return entity_type or \\\"Portfolio\\\"\\n   675|    if entity_type == \\\"instrument\\\" or str(entity_id).startswith(\\\"instrument-\\\"):\\n   676|        row = conn.execute(\\\"SELECT name, ticker FROM instruments WHERE instrument_id=?\\\", (entity_id,)).fetchone()\\n   677|        if row:\\n   678|            return f\\\"{row['name']} ({row['ticker']})\\\" if row[\\\"ticker\\\"] else row[\\\"name\\\"]\\n   679|        return \\\"Unbekanntes Instrument\\\"\\n   680|    if entity_type == \\\"crypto_asset\\\":\\n   681|        row = conn.execute(\\\"SELECT coin_name, symbol FROM crypto_assets WHERE asset_id=?\\\", (entity_id,)).fetchone()\\n   682|        if row:\\n   683|            return f\\\"{row['coin_name']} ({row['symbol']})\\\"\\n   684|    if entity_type == \\\"crypto_wallet\\\":\\n   685|        row = conn.execute(\\\"SELECT wallet_name FROM crypto_wallets WHERE wallet_id=?\\\", (entity_id,)).fetchone()\\n   686|        if row:\\n   687|            return row[\\\"wallet_name\\\"]\\n   688|    return entity_type or \\\"Portfolio\\\"\\n   689|\\n   690|\\n   691|def alert_title(rule_id: str, message: str = \\\"\\\", entity: str = \\\"\\\") -> str:\\n   692|    labels = {\\n   693|        \\\"missing_fx\\\": \\\"FX-Kurs fehlt\\\",\\n   694|        \\\"stale_fx\\\": \\\"FX-Kurs veraltet\\\",\\n   695|        \\\"missing_market_price\\\": \\\"Marktpreis fehlt\\\",\\n   696|        \\\"stale_market_price\\\": \\\"Marktpreis veraltet\\\",\\n   697|        \\\"missing_provider_symbol\\\": \\\"Marktdaten-Zuordnung fehlt\\\",\\n   698|        \\\"manual_fx_override_required\\\": \\\"Manueller FX-Kurs nötig\\\",\\n   699|        \\\"historical_fx_unavailable\\\": \\\"Historischer FX-Kurs fehlt\\\",\\n   700|        \\\"candidate_review_required\\\": \\\"Mapping muss geprüft werden\\\",\\n   701|        \\\"cost_basis_uncertain\\\": \\\"Einstand unvollständig\\\",\\n   702|        \\\"snapshot_only\\\": \\\"Nur Snapshot-Historie vorhanden\\\",\\n   703|        \\\"missing_crypto_price\\\": \\\"Crypto-Preis fehlt\\\",\\n   704|        \\\"crypto_price_missing\\\": \\\"Crypto-Preis fehlt\\\",\\n   705|    }\\n   706|    title = labels.get(rule_id, translate_status(rule_id))\\n   707|    return f\\\"{title} für {entity}\\\" if entity else title\\n   708|\\n   709|\\n   710|def alert_description(rule_id: str, message: str = \\\"\\\") -> str:\\n   711|    descriptions = {\\n   712|        \\\"missing_fx\\\": \\\"Ein historischer FX-Kurs fehlt. CHF-Performance ist daher unvollständig.\\\",\\n   713|        \\\"stale_fx\\\": \\\"Ein FX-Kurs ist veraltet und sollte aktualisiert werden.\\\",\\n   714|        \\\"missing_market_price\\\": \\\"Für diese Position fehlt ein lokaler Marktpreis. Bewertung bleibt unvollständig.\\\",\\n   715|        \\\"stale_market_price\\\": \\\"Der lokale Marktpreis ist veraltet. Bitte Preisupdate ausführen.\\\",\\n   716|        \\\"missing_provider_symbol\\\": \\\"Für diese Position fehlt oder fehlt noch die bestätigte Marktdaten-Zuordnung.\\\",\\n   717|        \\\"candidate_review_required\\\": \\\"Es gibt Marktdaten-Kandidaten, die manuell bestätigt werden müssen.\\\",\\n   718|        \\\"cost_basis_uncertain\\\": \\\"Die Kaufhistorie oder Einstandsdaten sind unvollständig.\\\",\\n   719|        \\\"snapshot_only\\\": \\\"Diese Position basiert auf einem Snapshot und nicht auf kompletter Historie.\\\",\\n   720|    }\\n   721|    return descriptions.get(rule_id, message.replace(\\\"_\\\", \\\" \\\") if message else \\\"Bitte im Review-Bereich prüfen.\\\")\\n   722|\\n   723|\\n   724|def get_alert_summary_cards(conn: Connection) -> dict[str, str]:\\n   725|    rows = conn.execute(\\\"SELECT priority, COUNT(*) AS c FROM alerts WHERE status='active' GROUP BY priority\\\").fetchall()\\n   726|    out = {\\\"kritisch\\\": \\\"0\\\", \\\"wichtig\\\": \\\"0\\\", \\\"info\\\": \\\"0\\\"}\\n   727|    for row in rows:\\n   728|        key = \\\"kritisch\\\" if row[\\\"priority\\\"] == \\\"kritisch\\\" else (\\\"info\\\" if row[\\\"priority\\\"] == \\\"info\\\" else \\\"wichtig\\\")\\n   729|        out[key] = str(int(out[key]) + int(row[\\\"c\\\"] or 0))\\n   730|    return out\\n   731|\\n   732|\\n   733|def get_alert_cards(conn: Connection, limit: int = 5) -> list[dict[str, str]]:\\n   734|    rows = conn.execute(\\n   735|        \\\"\\\"\\\"\\n   736|        SELECT alert_id, priority, category, entity_type, entity_id, rule_id, message, occurrence_count, last_seen_at\\n   737|        FROM alerts WHERE status='active'\\n   738|        ORDER BY CASE priority WHEN 'kritisch' THEN 0 WHEN 'warnung' THEN 1 ELSE 2 END, last_seen_at DESC, created_at DESC\\n   739|        LIMIT ?\\n   740|        \\\"\\\"\\\",\\n   741|        (limit,),\\n   742|    ).fetchall()\\n   743|    cards = []\\n   744|    for row in rows:\\n   745|        affected = resolve_alert_entity_label(conn, row[\\\"entity_type\\\"], row[\\\"entity_id\\\"])\\n   746|        cards.append({\\n   747|            \\\"_alert_id\\\": row[\\\"alert_id\\\"],\\n   748|            \\\"title\\\": alert_title(row[\\\"rule_id\\\"], row[\\\"message\\\"], affected),\\n   749|            \\\"description\\\": alert_description(row[\\\"rule_id\\\"], row[\\\"message\\\"]),\\n   750|            \\\"affected\\\": affected,\\n   751|            \\\"severity\\\": translate_status(row[\\\"priority\\\"]),\\n   752|            \\\"last_seen\\\": date_text(row[\\\"last_seen_at\\\"]),\\n   753|            \\\"actions\\\": \\\"Prüfen · Ignorieren · Details\\\",\\n   754|        })\\n   755|    return cards\\n   756|\\n   757|\\n   758|def get_alerts(conn: Connection) -> list[dict[str, str]]:\\n   759|    return rowdicts(conn.execute(\\n   760|        \\\"\\\"\\\"\\n   761|        SELECT priority, status, category, entity_type, entity_id, rule_id, message,\\n   762|               occurrence_count, last_seen_at, resolved_at, muted_until, fingerprint, dedup_key, created_at\\n   763|        FROM alerts\\n   764|        ORDER BY CASE priority WHEN 'kritisch' THEN 0 WHEN 'warnung' THEN 1 ELSE 2 END, status, created_at DESC\\n   765|        \\\"\\\"\\\"\\n   766|    ).fetchall())\\n   767|\\n   768|\\n   769|def get_audit_events(conn: Connection, limit: int = 200) -> list[dict[str, str]]:\\n   770|    rows = conn.execute(\\n   771|        \\\"\\\"\\\"\\n   772|        SELECT timestamp, source, action, entity_type, entity_id, old_values_json, new_values_json,\\n   773|               confirmed, created_by, quality_status\\n   774|        FROM audit_log ORDER BY timestamp DESC LIMIT ?\\n   775|        \\\"\\\"\\\", (limit,)\\n   776|    ).fetchall()\\n   777|    out: list[dict[str, str]] = []\\n   778|    for row in rows:\\n   779|        item = {k: (\\\"\\\" if row[k] is None else str(row[k])) for k in row.keys()}\\n   780|        for key in (\\\"old_values_json\\\", \\\"new_values_json\\\"):\\n   781|            if item[key]:\\n   782|                try:\\n   783|                    item[key] = json.dumps(json.loads(item[key]), ensure_ascii=False, indent=2, sort_keys=True)\\n   784|                except json.JSONDecodeError:\\n   785|                    pass\\n   786|        out.append(item)\\n   787|    return out\\n   788|\\n   789|\\n   790|def get_data_quality(conn: Connection) -> list[dict[str, str]]:\\n   791|    items: list[dict[str, str]] = []\\n   792|    checks = [\\n   793|        (\\\"fehlende FX\\\", \\\"SELECT COUNT(*) AS c FROM transactions WHERE fx_status='missing'\\\", \\\"kritisch\\\"),\\n   794|        (\\\"fehlende/stale FX Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id IN ('missing_fx','stale_fx','historical_fx_unavailable','manual_override_required')\\\", \\\"kritisch\\\"),\\n   795|        (\\\"historical FX unavailable\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='historical_fx_unavailable'\\\", \\\"kritisch\\\"),\\n   796|        (\\\"manual override required\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='manual_override_required'\\\", \\\"kritisch\\\"),\\n   797|        (\\\"fehlende Provider-Symbole\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='missing_provider_symbol'\\\", \\\"warnung\\\"),\\n   798|        (\\\"provider lookup unavailable\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='provider_lookup_unavailable'\\\", \\\"warnung\\\"),\\n   799|        (\\\"ambiguous_provider_mapping\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='ambiguous_provider_mapping'\\\", \\\"warnung\\\"),\\n   800|        (\\\"multiple_listings_same_isin\\\", \\\"SELECT COUNT(*) AS c FROM (SELECT isin FROM instrument_price_mapping_candidates WHERE COALESCE(isin,'')<>'' AND review_status IN ('proposed','needs_manual_review') GROUP BY isin HAVING COUNT(DISTINCT COALESCE(candidate_exchange,'') || ':' || COALESCE(candidate_currency,''))>1)\\\", \\\"warnung\\\"),\\n   801|        (\\\"currency_mismatch\\\", \\\"SELECT COUNT(*) AS c FROM instrument_price_mapping_candidates WHERE review_status IN ('proposed','needs_manual_review') AND risk_flags LIKE '%currency_mismatch%'\\\", \\\"warnung\\\"),\\n   802|        (\\\"hedge_status_unknown\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='hedge_status_unknown'\\\", \\\"warnung\\\"),\\n   803|        (\\\"instrument_status_unknown\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='instrument_status_unknown'\\\", \\\"warnung\\\"),\\n   804|        (\\\"provider_symbol_missing\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='missing_provider_symbol'\\\", \\\"warnung\\\"),\\n   805|        (\\\"candidate_review_required\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='candidate_review_required'\\\", \\\"warnung\\\"),\\n   806|        (\\\"valuation_not_ready\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id IN ('missing_provider_symbol','missing_market_price','missing_fx','hedge_status_unknown','instrument_status_unknown','candidate_review_required')\\\", \\\"warnung\\\"),\\n   807|        (\\\"instrument status unknown\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='instrument_status_unknown'\\\", \\\"warnung\\\"),\\n   808|        (\\\"manual FX override required\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id IN ('manual_override_required','manual_fx_override_required')\\\", \\\"kritisch\\\"),\\n   809|        (\\\"fehlende Market Prices\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='missing_market_price'\\\", \\\"warnung\\\"),\\n   810|        (\\\"stale Market Prices\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='stale_market_price'\\\", \\\"warnung\\\"),\\n   811|        (\\\"ambiguous Instrument Mapping\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='ambiguous_instrument_mapping'\\\", \\\"warnung\\\"),\\n   812|        (\\\"price currency mismatch\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='price_currency_mismatch'\\\", \\\"warnung\\\"),\\n   813|        (\\\"hedge status unknown\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='hedge_status_unknown'\\\", \\\"warnung\\\"),\\n   814|        (\\\"stale valuation\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='stale_valuation'\\\", \\\"warnung\\\"),\\n   815|        (\\\"corporate action suspected\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='corporate_action_suspected'\\\", \\\"warnung\\\"),\\n   816|        (\\\"split/corporate action review\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='split_or_corporate_action_review_required'\\\", \\\"warnung\\\"),\\n   817|        (\\\"delisted/suspended\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='delisted_or_suspended'\\\", \\\"warnung\\\"),\\n   818|        (\\\"snapshot_only Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='snapshot_only'\\\", \\\"info\\\"),\\n   819|        (\\\"cost_basis_uncertain Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='cost_basis_uncertain'\\\", \\\"warnung\\\"),\\n   820|        (\\\"fehlende CoinGecko-ID\\\", \\\"SELECT COUNT(*) AS c FROM crypto_assets WHERE coingecko_id IS NULL OR coingecko_id='' \\\", \\\"warnung\\\"),\\n   821|        (\\\"fehlende Crypto-Preise\\\", \\\"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\\\", \\\"warnung\\\"),\\n   822|        (\\\"fehlende ISIN\\\", \\\"SELECT COUNT(*) AS c FROM instrument_mappings WHERE asset_class IN ('equity','etf') AND (isin IS NULL OR isin='') AND mapping_status!='ignored'\\\", \\\"warnung\\\"),\\n   823|        (\\\"Catalog Instrumente ohne ISIN\\\", \\\"SELECT COUNT(*) AS c FROM instrument_catalog_entries WHERE asset_class IN ('equity','stock','etf') AND (isin IS NULL OR isin='')\\\", \\\"warnung\\\"),\\n   824|        (\\\"Catalog Ticker ohne Exchange\\\", \\\"SELECT COUNT(*) AS c FROM instrument_catalog_entries WHERE COALESCE(ticker,'')<>'' AND COALESCE(exchange,'')=''\\\", \\\"warnung\\\"),\\n   825|        (\\\"Catalog mehrere Listings gleicher ISIN\\\", \\\"SELECT COUNT(*) AS c FROM (SELECT isin FROM instrument_catalog_entries WHERE COALESCE(isin,'')<>'' GROUP BY isin HAVING COUNT(DISTINCT COALESCE(exchange,'') || ':' || COALESCE(trading_currency,''))>1)\\\", \\\"info\\\"),\\n   826|        (\\\"Manual Review needed\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='manual_review_needed'\\\", \\\"warnung\\\"),\\n   827|        (\\\"Mapping-Kandidaten unbestätigt\\\", \\\"SELECT COUNT(*) AS c FROM instrument_price_mapping_candidates WHERE review_status IN ('proposed','needs_manual_review')\\\", \\\"warnung\\\"),\\n   828|        (\\\"Instrumente mit mehreren Mapping-Kandidaten\\\", \\\"SELECT COUNT(*) AS c FROM (SELECT instrument_id FROM instrument_price_mapping_candidates WHERE review_status IN ('proposed','needs_manual_review') GROUP BY instrument_id HAVING COUNT(*) > 1)\\\", \\\"warnung\\\"),\\n   829|        (\\\"Valuation not ready\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id IN ('missing_provider_symbol','missing_market_price','missing_fx','hedge_status_unknown','instrument_status_unknown')\\\", \\\"warnung\\\"),\\n   830|        (\\\"fehlende FX in Import-Reviews\\\", \\\"SELECT COUNT(*) AS c FROM instrument_mappings WHERE quality_flags_json LIKE '%missing_fx%' AND mapping_status!='ignored'\\\", \\\"warnung\\\"),\\n   831|        (\\\"snapshot_only Positionen\\\", \\\"SELECT COUNT(*) AS c FROM instrument_mappings WHERE quality_flags_json LIKE '%snapshot_only%' AND mapping_status!='ignored'\\\", \\\"info\\\"),\\n   832|        (\\\"cost_basis_uncertain\\\", \\\"SELECT COUNT(*) AS c FROM instrument_mappings WHERE quality_flags_json LIKE '%cost_basis_uncertain%' AND mapping_status!='ignored'\\\", \\\"warnung\\\"),\\n   833|        (\\\"Instrument Import Kandidaten unbestätigt\\\", \\\"SELECT COUNT(*) AS c FROM instrument_import_candidates WHERE mapping_status NOT IN ('confirmed','rejected')\\\", \\\"warnung\\\"),\\n   834|        (\\\"Instrument Import Kandidaten ohne ISIN\\\", \\\"SELECT COUNT(*) AS c FROM instrument_import_candidates WHERE COALESCE(proposed_isin, raw_isin, '')='' AND mapping_status!='rejected'\\\", \\\"warnung\\\"),\\n   835|        (\\\"aktive Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active'\\\", \\\"warnung\\\"),\\n   836|        (\\\"resolved Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='resolved'\\\", \\\"ok\\\"),\\n   837|        (\\\"alte aktive Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND last_seen_at < datetime('now', '-7 days')\\\", \\\"info\\\"),\\n   838|    ]\\n   839|    for label, sql, severity in checks:\\n   840|        row = conn.execute(sql).fetchone()\\n   841|        count = int(row[\\\"c\\\"] or 0) if row else 0\\n   842|        sev = severity if count else \\\"ok\\\"\\n   843|        items.append({\\\"check\\\": label, \\\"count\\\": str(count), \\\"severity\\\": sev})\\n   844|    for flag_row in get_review_quality_flag_counts(conn):\\n   845|        count = int(flag_row[\\\"open_items\\\"] or 0)\\n   846|        items.append({\\\"check\\\": f\\\"Review Flag: {flag_row['quality_flag']}\\\", \\\"count\\\": str(count), \\\"severity\\\": \\\"warnung\\\" if count else \\\"ok\\\"})\\n   847|    for ready in get_review_readiness_counts(conn):\\n   848|        count = int(ready[\\\"count\\\"] or 0)\\n   849|        sev = \\\"ok\\\" if ready[\\\"readiness_status\\\"] in {\\\"ready_for_import\\\", \\\"ignored\\\"} else (\\\"warnung\\\" if count else \\\"ok\\\")\\n   850|        items.append({\\\"check\\\": f\\\"Review Readiness: {ready['readiness_status']}\\\", \\\"count\\\": str(count), \\\"severity\\\": sev})\\n   851|    for source in get_ready_for_import_by_source(conn):\\n   852|        if int(source[\\\"total\\\"] or 0) and int(source[\\\"ready_for_import\\\"] or 0) == 0:\\n   853|            items.append({\\\"check\\\": f\\\"Quelle ohne ready_for_import: {source['source_platform']}\\\", \\\"count\\\": source[\\\"total\\\"], \\\"severity\\\": \\\"warnung\\\"})\\n   854|    missing_snapshot = conn.execute(\\\"SELECT COUNT(*) AS c FROM broker_import_dry_runs WHERE snapshot_date_status='missing'\\\").fetchone()\\n   855|    count = int(missing_snapshot[\\\"c\\\"] or 0) if missing_snapshot else 0\\n   856|    items.append({\\\"check\\\": \\\"Dry Runs ohne Snapshot Date\\\", \\\"count\\\": str(count), \\\"severity\\\": \\\"warnung\\\" if count else \\\"ok\\\"})\\n   857|    return items\\n   858|\\n   859|\\n   860|def get_instrument_catalog_entries(conn: Connection, query: str | None = None, asset_class: str | None = None) -> list[dict[str, str]]:\\n   861|    if query:\\n   862|        from jarvis_finance.market_data.catalog import search_local_catalog\\n   863|        return [r.__dict__ for r in search_local_catalog(conn, query, asset_class)]\\n   864|    sql = \\\"\\\"\\\"\\n   865|        SELECT catalog_entry_id, asset_class, name, isin, ticker, exchange, trading_currency,\\n   866|               instrument_currency, provider, provider_symbol, provider_market, hedge_status,\\n   867|               instrument_status, valuation_policy, source, source_confidence, last_verified_at\\n   868|        FROM instrument_catalog_entries\\n   869|    \\\"\\\"\\\"\\n   870|    params: list[object] = []\\n   871|    if asset_class:\\n   872|        sql += \\\" WHERE asset_class=?\\\"\\n   873|        params.append(asset_class.lower())\\n   874|    sql += \\\" ORDER BY name, exchange, trading_currency LIMIT 100\\\"\\n   875|    return rowdicts(conn.execute(sql, tuple(params)).fetchall())\\n   876|\\n   877|\\n   878|def get_instrument_catalog_summary(conn: Connection) -> dict[str, str]:\\n   879|    total = conn.execute(\\\"SELECT COUNT(*) AS c FROM instrument_catalog_entries\\\").fetchone()[\\\"c\\\"]\\n   880|    multi = conn.execute(\\\"SELECT COUNT(*) AS c FROM (SELECT isin FROM instrument_catalog_entries WHERE COALESCE(isin,'')<>'' GROUP BY isin HAVING COUNT(DISTINCT COALESCE(exchange,'') || ':' || COALESCE(trading_currency,''))>1)\\\").fetchone()[\\\"c\\\"]\\n   881|    no_provider = conn.execute(\\\"SELECT COUNT(*) AS c FROM instrument_catalog_entries WHERE COALESCE(provider_symbol,'')='' \\\").fetchone()[\\\"c\\\"]\\n   882|    manual = conn.execute(\\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id IN ('manual_review_needed','missing_provider_symbol','ambiguous_provider_mapping')\\\").fetchone()[\\\"c\\\"]\\n   883|    return {\\\"catalog_entries\\\": str(total or 0), \\\"multiple_listings\\\": str(multi or 0), \\\"without_provider_symbol\\\": str(no_provider or 0), \\\"manual_review_required\\\": str(manual or 0)}\\n   884|\\n   885|\\n   886|def get_instrument_mapping_review(conn: Connection) -> list[dict[str, str]]:\\n   887|    rows = conn.execute(\\n   888|        \\\"\\\"\\\"\\n   889|        SELECT i.instrument_id, i.isin, i.name, i.ticker, i.exchange, i.currency,\\n   890|               i.hedge_status, i.instrument_status, i.valuation_policy,\\n   891|               COALESCE(m.mapping_status, 'missing_provider_symbol') AS mapping_status,\\n   892|               COALESCE(m.provider, '') AS provider,\\n   893|               COALESCE(m.provider_symbol, '') AS provider_symbol,\\n   894|               COUNT(c.candidate_id) AS candidate_count\\n   895|        FROM instruments i\\n   896|        JOIN transactions t ON t.instrument_id=i.instrument_id\\n   897|        LEFT JOIN instrument_price_mappings m ON m.instrument_id=i.instrument_id AND m.mapping_status='mapped'\\n   898|        LEFT JOIN instrument_price_mapping_candidates c ON c.instrument_id=i.instrument_id AND c.review_status IN ('proposed','needs_manual_review')\\n   899|        WHERE t.transaction_type='initial_position_snapshot'\\n   900|          AND t.source_type='broker_import_reviewed_snapshot'\\n   901|          AND COALESCE(t.is_voided,0)=0\\n   902|        GROUP BY i.instrument_id\\n   903|        ORDER BY i.isin, i.name\\n   904|        \\\"\\\"\\\"\\n   905|    ).fetchall()\\n   906|    return rowdicts(rows)\\n   907|\\n   908|\\n   909|def get_instrument_import_candidates(conn: Connection, status: str | None = None) -> list[dict[str, str]]:\\n   910|    sql = \\\"\\\"\\\"\\n   911|        SELECT candidate_id, source_file, platform, account, source_row_number,\\n   912|               raw_name, raw_ticker, raw_isin, raw_currency,\\n   913|               CASE WHEN COALESCE(raw_quantity,'')<>'' THEN '<present>' ELSE '' END AS raw_quantity_present,\\n   914|               raw_asset_class, extracted_by, extraction_confidence,\\n   915|               proposed_name, proposed_ticker, proposed_isin, proposed_exchange,\\n   916|               proposed_currency, proposed_asset_class, provider, provider_symbol,\\n   917|               mapping_status, review_note, created_at, updated_at\\n   918|        FROM instrument_import_candidates\\n   919|    \\\"\\\"\\\"\\n   920|    params: list[object] = []\\n   921|    if status:\\n   922|        sql += \\\" WHERE mapping_status=?\\\"\\n   923|        params.append(status)\\n   924|    sql += \\\" ORDER BY CASE mapping_status WHEN 'needs_manual_review' THEN 0 WHEN 'probable' THEN 1 WHEN 'exact_isin_match' THEN 2 WHEN 'confirmed' THEN 3 ELSE 4 END, platform, source_row_number\\\"\\n   925|    return rowdicts(conn.execute(sql, tuple(params)).fetchall())\\n   926|\\n   927|\\n   928|def get_instrument_import_candidate_summary(conn: Connection) -> dict[str, str]:\\n   929|    def c(where: str) -> str:\\n   930|        row = conn.execute(f\\\"SELECT COUNT(*) AS n FROM instrument_import_candidates WHERE {where}\\\").fetchone()\\n   931|        return str(row[\\\"n\\\"] or 0)\\n   932|    return {\\n   933|        \\\"candidates_total\\\": c(\\\"1=1\\\"),\\n   934|        \\\"with_isin\\\": c(\\\"COALESCE(proposed_isin, raw_isin, '')<>''\\\"),\\n   935|        \\\"without_isin\\\": c(\\\"COALESCE(proposed_isin, raw_isin, '')=''\\\"),\\n   936|        \\\"with_ticker\\\": c(\\\"COALESCE(proposed_ticker, raw_ticker, '')<>''\\\"),\\n   937|        \\\"with_currency\\\": c(\\\"COALESCE(proposed_currency, raw_currency, '')<>''\\\"),\\n   938|        \\\"exact_isin_match\\\": c(\\\"mapping_status='exact_isin_match'\\\"),\\n   939|        \\\"probable\\\": c(\\\"mapping_status='probable'\\\"),\\n   940|        \\\"needs_manual_review\\\": c(\\\"mapping_status='needs_manual_review'\\\"),\\n   941|        \\\"confirmed\\\": c(\\\"mapping_status='confirmed'\\\"),\\n   942|        \\\"blocked\\\": c(\\\"mapping_status!='confirmed'\\\"),\\n   943|    }\\n   944|\\n   945|\\n   946|def get_instrument_mapping_candidates(conn: Connection, instrument_id: str | None = None) -> list[dict[str, str]]:\\n   947|    if instrument_id:\\n   948|        rows = conn.execute(\\n   949|            \\\"\\\"\\\"\\n   950|            SELECT candidate_id, instrument_id, isin, candidate_provider, candidate_provider_symbol,\\n   951|                   candidate_exchange, candidate_currency, candidate_name, candidate_asset_class,\\n   952|                   candidate_is_hedged, candidate_hedged_to_currency, candidate_hedge_status,\\n   953|                   candidate_instrument_status, candidate_valuation_policy, confidence,\\n   954|                   ranking_score, ranking_reason, risk_flags, recommended_action,\\n   955|                   CASE\\n   956|                       WHEN recommended_action='select_candidate' OR ranking_score >= 75 THEN 'wahrscheinlich passend'\\n   957|                       WHEN recommended_action='reject_candidate' OR ranking_score < 40 THEN 'wahrscheinlich falsch'\\n   958|                       ELSE 'unsicher'\\n   959|                   END AS ranking_mark,\\n   960|                   candidate_currency AS closing_currency,\\n   961|                   evidence_source, evidence_note, review_status, created_at\\n   962|            FROM instrument_price_mapping_candidates WHERE instrument_id=?\\n   963|            ORDER BY ranking_score DESC, CASE confidence WHEN 'high' THEN 0 WHEN 'medium' THEN 1 ELSE 2 END, candidate_provider\\n   964|            \\\"\\\"\\\",\\n   965|            (instrument_id,),\\n   966|        ).fetchall()\\n   967|    else:\\n   968|        rows = conn.execute(\\n   969|            \\\"\\\"\\\"\\n   970|            SELECT candidate_id, instrument_id, isin, candidate_provider, candidate_provider_symbol,\\n   971|                   candidate_exchange, candidate_currency, candidate_name, candidate_asset_class,\\n   972|                   candidate_is_hedged, candidate_hedged_to_currency, candidate_hedge_status,\\n   973|                   candidate_instrument_status, candidate_valuation_policy, confidence,\\n   974|                   ranking_score, ranking_reason, risk_flags, recommended_action,\\n   975|                   CASE\\n   976|                       WHEN recommended_action='select_candidate' OR ranking_score >= 75 THEN 'wahrscheinlich passend'\\n   977|                       WHEN recommended_action='reject_candidate' OR ranking_score < 40 THEN 'wahrscheinlich falsch'\\n   978|                       ELSE 'unsicher'\\n   979|                   END AS ranking_mark,\\n   980|                   candidate_currency AS closing_currency,\\n   981|                   evidence_source, evidence_note, review_status, created_at\\n   982|            FROM instrument_price_mapping_candidates\\n   983|            ORDER BY instrument_id, ranking_score DESC, CASE confidence WHEN 'high' THEN 0 WHEN 'medium' THEN 1 ELSE 2 END, candidate_provider\\n   984|            \\\"\\\"\\\"\\n   985|        ).fetchall()\\n   986|    return rowdicts(rows)\\n   987|\\n   988|\\n   989|def get_fx_override_requirements(conn: Connection) -> list[dict[str, str]]:\\n   990|    rows = conn.execute(\\n   991|        \\\"\\\"\\\"\\n   992|        SELECT t.currency_original AS base_currency, 'CHF' AS quote_currency, t.trade_date AS rate_date,\\n   993|               COUNT(DISTINCT t.instrument_id) AS instrument_count,\\n   994|               CASE WHEN fr.fx_rate_id IS NULL THEN 'missing_fx' ELSE fr.quality_status END AS fx_status\\n   995|        FROM transactions t\\n   996|        LEFT JOIN fx_rates fr ON fr.base_currency=t.currency_original AND fr.quote_currency='CHF' AND fr.rate_date=t.trade_date\\n   997|        WHERE t.transaction_type='initial_position_snapshot'\\n   998|          AND t.source_type='broker_import_reviewed_snapshot'\\n   999|          AND COALESCE(t.is_voided,0)=0\\n  1000|          AND t.currency_original IS NOT NULL\\n  1001|          AND t.currency_original <> 'CHF'\\n  1002|        GROUP BY t.currency_original, t.trade_date, fx_status\\n  1003|        ORDER BY t.currency_original, t.trade_date\\n  1004|        \\\"\\\"\\\"\\n  1005|    ).fetchall()\\n  1006|    return rowdicts(rows)\\n  1007|\\n  1008|\\n  1009|def get_import_wizard_summary(conn: Connection) -> dict[str, str]:\\n  1010|    from jarvis_finance.imports.broker_mapping import build_import_wizard_summary\\n  1011|\\n  1012|    return build_import_wizard_summary(conn)\\n  1013|\\n  1014|\\n  1015|def get_manual_review_items(conn: Connection) -> list[dict[str, str]]:\\n  1016|    from jarvis_finance.imports.broker_mapping import get_manual_review_queue\\n  1017|\\n  1018|    return get_manual_review_queue(conn)\\n  1019|\\n  1020|\\n  1021|def get_broker_dry_runs(conn: Connection, limit: int = 20) -> list[dict[str, str]]:\\n  1022|    from jarvis_finance.imports.broker_mapping import get_dry_run_sessions\\n  1023|\\n  1024|    return get_dry_run_sessions(conn, limit=limit)\\n  1025|\\n  1026|\\n  1027|def get_safe_mode_status(conn: Connection) -> dict[str, str]:\\n  1028|    backup = conn.execute(\\\"SELECT created_at FROM audit_log WHERE action LIKE '%backup%' ORDER BY created_at DESC LIMIT 1\\\").fetchone()\\n  1029|    return {\\n  1030|        \\\"db_mode\\\": \\\"Runtime\\\",\\n  1031|        \\\"write_mode\\\": \\\"Read-only\\\",\\n  1032|        \\\"last_backup_at\\\": backup[\\\"created_at\\\"] if backup else \\\"nicht verfügbar\\\",\\n  1033|        \\\"git_safety_status\\\": \\\"zuletzt OK / CLI prüfen\\\",\\n  1034|        \\\"data_location\\\": \\\"Echte Daten liegen außerhalb Git\\\",\\n  1035|    }\\n  1036|\\n  1037|\\n  1038|def get_broker_review_items(conn: Connection, limit: int = 100, **filters) -> list[dict[str, str]]:\\n  1039|    from jarvis_finance.imports.broker_mapping import get_broker_review_items as _items\\n  1040|\\n  1041|    return _items(conn, limit=limit, **filters)\\n  1042|\\n  1043|\\n  1044|def get_review_readiness_counts(conn: Connection) -> list[dict[str, str]]:\\n  1045|    from jarvis_finance.imports.broker_mapping import get_review_readiness_counts as _counts\\n  1046|\\n  1047|    return _counts(conn)\\n  1048|\\n  1049|\\n  1050|def get_ready_for_import_by_source(conn: Connection) -> list[dict[str, str]]:\\n  1051|    from jarvis_finance.imports.broker_mapping import get_ready_for_import_by_source as _counts\\n  1052|\\n  1053|    return _counts(conn)\\n  1054|\\n  1055|\\n  1056|def get_review_quality_flag_counts(conn: Connection) -> list[dict[str, str]]:\\n  1057|    from jarvis_finance.imports.broker_mapping import aggregate_review_quality_flags\\n  1058|\\n  1059|    return [{\\\"quality_flag\\\": k, \\\"open_items\\\": str(v)} for k, v in sorted(aggregate_review_quality_flags(conn).items())]\\n  1060|\\n  1061|\\n  1062|def equity_etf_user_label(summary: dict[str, str]) -> str:\\n  1063|    value = d(summary.get(\\\"equity_etf_total_chf\\\"))\\n  1064|    return chf_text(value) if value > 0 else \\\"noch nicht bewertet\\\"\\n  1065|\\n  1066|\\n  1067|def equity_etf_is_user_ready(summary: dict[str, str]) -> bool:\\n  1068|    return d(summary.get(\\\"equity_etf_total_chf\\\")) > 0 and summary.get(\\\"data_quality_status\\\") == \\\"ok\\\"\\n  1069|\\n  1070|\\n  1071|def get_top_user_hints(conn: Connection, limit: int = 3) -> list[str]:\\n  1072|    hints: list[str] = []\\n  1073|    summary = get_command_center_summary(conn)\\n  1074|    if equity_etf_user_label(summary) == \\\"noch nicht bewertet\\\":\\n  1075|        hints.append(\\\"Aktien/ETF: Bewertung unvollständig\\\")\\n  1076|    crypto = get_crypto_summary_cards(conn)\\n  1077|    if d(crypto.get(\\\"coins_without_price\\\")) > 0:\\n  1078|        hints.append(\\\"Crypto-Preise fehlen für einzelne Coins\\\")\\n  1079|    elif d(crypto.get(\\\"stale_price_count\\\")) > 0:\\n  1080|        hints.append(\\\"Crypto-Preise teilweise veraltet\\\")\\n  1081|    else:\\n  1082|        hints.append(\\\"Crypto-Preise aktuell\\\")\\n  1083|    for alert in get_alert_cards(conn, limit=limit):\\n  1084|        text = alert[\\\"title\\\"]\\n  1085|        if not any(marker in text for marker in (\\\"asset_id\\\", \\\"wallet_id\\\", \\\"instrument-\\\", \\\"rule_id\\\", \\\"entity_id\\\")):\\n  1086|            hints.append(text)\\n  1087|        if len(hints) >= limit:\\n  1088|            break\\n  1089|    return hints[:limit]\\n  1090|\\n  1091|\\n  1092|def compact_chart_rows(rows: list[dict[str, str]], *, limit: int = 10) -> list[dict[str, str]]:\\n  1093|    ordered = sorted(rows, key=lambda row: d(row.get(\\\"value_chf\\\")), reverse=True)\\n  1094|    if len(ordered) <= limit:\\n  1095|        return ordered\\n  1096|    head = ordered[:limit]\\n  1097|    other = sum((d(row.get(\\\"value_chf\\\")) for row in ordered[limit:]), Decimal(\\\"0\\\"))\\n  1098|    if other > 0:\\n  1099|        head.append({\\\"label\\\": \\\"Andere\\\", \\\"value_chf\\\": dec_text(other, \\\"0.01\\\")})\\n  1100|    return head\\n  1101|\", \"total_lines\": 1126, \"file_size\": 61393, \"truncated\": true, \"hint\": \"Use offset=1101 to continue reading (showing 1-1100 of 1126 lines)\", \"is_binary\": false, \"is_image\": false}",
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      "finish_reason": "tool_calls",
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        {
          "id": "call_fyqPbfa6PNa0GnynHbgJX1PY",
          "call_id": "call_fyqPbfa6PNa0GnynHbgJX1PY",
          "response_item_id": "fc_04bb3c4ba9cb80fb016a0870f256048191b9b913ea4f84b618",
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            "arguments": "{\"offset\":1101,\"limit\":80,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"  1101|\\n  1102|\\n  1103|def get_command_center_summary(conn: Connection) -> dict[str, str]:\\n  1104|    cash_rows = get_cash_overview(conn)\\n  1105|    crypto_summary = get_crypto_summary_cards(conn)\\n  1106|    positions = get_positions(conn)\\n  1107|    cash_total = sum(d(r[\\\"amount_chf\\\"]) for r in cash_rows if r[\\\"amount_chf\\\"])\\n  1108|    crypto_total = d(crypto_summary[\\\"total_value_chf\\\"])\\n  1109|    equity_total = sum(d(r[\\\"market_value_chf\\\"]) for r in positions if r.get(\\\"market_value_chf\\\"))\\n  1110|    alert_counts = conn.execute(\\\"SELECT priority, COUNT(*) AS c FROM alerts WHERE status='active' GROUP BY priority\\\").fetchall()\\n  1111|    critical = sum(int(r[\\\"c\\\"] or 0) for r in alert_counts if r[\\\"priority\\\"] == \\\"kritisch\\\")\\n  1112|    quality = get_data_quality(conn)\\n  1113|    dq = \\\"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  1114|    return {\\n  1115|        \\\"base_currency\\\": \\\"CHF\\\",\\n  1116|        \\\"cash_total_chf\\\": dec_text(cash_total, \\\"0.01\\\"),\\n  1117|        \\\"crypto_total_chf\\\": dec_text(crypto_total, \\\"0.01\\\"),\\n  1118|        \\\"equity_etf_total_chf\\\": dec_text(equity_total, \\\"0.01\\\"),\\n  1119|        \\\"total_portfolio_chf\\\": dec_text(cash_total + crypto_total + equity_total, \\\"0.01\\\"),\\n  1120|        \\\"total_value_chf\\\": dec_text(cash_total + crypto_total + equity_total, \\\"0.01\\\"),\\n  1121|        \\\"critical_alert_count\\\": str(critical),\\n  1122|        \\\"active_alerts\\\": \\\", \\\".join(f\\\"{r['priority']}: {r['c']}\\\" for r in alert_counts) or \\\"0\\\",\\n  1123|        \\\"data_quality_status\\\": dq,\\n  1124|        \\\"last_price_update_at\\\": crypto_summary.get(\\\"last_price_update_at\\\", \\\"\\\"),\\n  1125|        \\\"crypto_price_data_as_of\\\": crypto_summary.get(\\\"last_price_update_at\\\", \\\"\\\"),\\n  1126|    }\\n  1127|\", \"total_lines\": 1126, \"file_size\": 61393, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_fyqPbfa6PNa0GnynHbgJX1PY"
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      "content": "[Your active task list was preserved across context compression]\n- [>] preflight. Git-/Runtime-Preflight, Backup, echte Runtime-UI in User Mode auf Kernseiten inspizieren (in_progress)\n- [ ] driveux. Google-Drive-Vorlagen nur als UX-Inspiration analysieren, ohne Rohbilder ins Repo (pending)\n- [ ] redtests. Acceptance-Regressionstests für Cash-Gruppierung, User/Admin-Trennung, Artefakte, Row Selection/Buttons, Detailpanel, Preisupdate, FX und Command Center ergänzen und RED/GREEN belegen (pending)\n- [ ] cleanup. Runtime Review/Test/Altartefakte trocken identifizieren, sicher archivieren/deaktivieren, Audit-Event schreiben (pending)\n- [ ] portfolio. User Mode Portfolio/Vermögenswerte-Seite bauen: Cash/Aktien/ETFs, Gruppierungen, Zusammenzüge, schlanke Tabellen, Auswahl/Detailpanel, Actions (pending)\n- [ ] command. Command Center auf getrennte Portfolio-Summen, Cash/Aktien/ETFs/Crypto, unbewertete Positionen und klare Updates korrigieren (pending)\n- [ ] fxprice. Preisupdate-Ergebnis nachvollziehbar machen und FX-UI ohne interne Statuswerte prüfen/korrigieren (pending)\n- [ ] uisanity. Echte Runtime-UI erneut auf Command Center, Portfolio, Crypto, Wallets, Position hinzufügen, Reports prüfen (pending)\n- [ ] docs. Streamlit/Dash/NiceGUI/FastAPI+React Einschätzung dokumentieren (pending)\n- [ ] verify. Compile, pytest, Git-Safety, git diff --check, clean status verifizieren (pending)\n- [ ] commitpush. Commit, Push und remote Hash verifizieren (pending)"
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      "reasoning": "**Continuing task instructions**\n\nI’m looking to inspect the repository and considering whether I need to load skills. It seems like the finance skill might have been loaded before, but the current message indicates an active list. I’ll need to use tools to move forward. This could be a larger task, so maybe I can delegate to subagents. Perhaps I should load the GitHub workflow while modifying code commits. Let’s explore these options!",
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            "name": "skill_view",
            "arguments": "{\"name\":\"systematic-debugging\"}"
          }
        },
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          "id": "call_Nvmuy0bzFN0t9E1RGKUcvolC",
          "call_id": "call_Nvmuy0bzFN0t9E1RGKUcvolC",
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          "type": "function",
          "function": {
            "name": "skill_view",
            "arguments": "{\"name\":\"finance-system-architecture\"}"
          }
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      ]
    },
    {
      "role": "tool",
      "name": "skill_view",
      "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 $(git branch --show-current) --limit 5\\n\\n# View failed logs\\ngh run view <RUN_ID> --log-failed\\n```\\n\\n**With git + curl:**\\n\\n```bash\\nBRANCH=$(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=<run_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 <fixed_files>\\ngit commit -m \\\"fix: resolve CI failure in <check_name>\\\"\\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=<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. Merge when green (see Section 6)\\n```\\n\\n## Useful PR Commands Reference\\n\\n| Action | gh | git + curl |\\n|--------|-----|-----------|\\n| List my PRs | `gh pr list --author @me` | `curl -s -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\"https://api.github.com/repos/$OWNER/$REPO/pulls?state=open\\\"` |\\n| View PR diff | `gh pr diff` | `git diff main...HEAD` (local) or `curl -H \\\"Accept: application/vnd.github.diff\\\" ...` |\\n| Add comment | `gh pr comment N --body \\\"...\\\"` | `curl -X POST .../issues/N/comments -d '{\\\"body\\\":\\\"...\\\"}'` |\\n| Request review | `gh pr edit N --add-reviewer user` | `curl -X POST .../pulls/N/requested_reviewers -d '{\\\"reviewers\\\":[\\\"user\\\"]}'` |\\n| Close PR | `gh pr close N` | `curl -X PATCH .../pulls/N -d '{\\\"state\\\":\\\"closed\\\"}'` |\\n| Check out someone's PR | `gh pr checkout N` | `git fetch origin pull/N/head:pr-N && git checkout pr-N` |\\n\", \"path\": \"github/github-pr-workflow/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/github/github-pr-workflow\", \"linked_files\": {\"references\": [\"references/conventional-commits.md\", \"references/ci-troubleshooting.md\"], \"templates\": [\"templates/pr-body-bugfix.md\", \"templates/pr-body-feature.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\": [\"GitHub\", \"Pull-Requests\", \"CI/CD\", \"Git\", \"Automation\", \"Merge\"], \"related_skills\": [\"github-auth\", \"github-code-review\"]}}}",
      "tool_call_id": "call_S8uTqqWJJVfLbVO4rcA6VocP"
    },
    {
      "role": "tool",
      "name": "skill_view",
      "content": "{\"success\": true, \"name\": \"systematic-debugging\", \"description\": \"4-phase root cause debugging: understand bugs before fixing.\", \"tags\": [\"debugging\", \"troubleshooting\", \"problem-solving\", \"root-cause\", \"investigation\"], \"related_skills\": [\"test-driven-development\", \"writing-plans\", \"subagent-driven-development\"], \"content\": \"---\\nname: systematic-debugging\\ndescription: \\\"4-phase root cause debugging: understand bugs before fixing.\\\"\\nversion: 1.2.0\\nauthor: Hermes Agent (adapted from obra/superpowers)\\nlicense: MIT\\nmetadata:\\n  hermes:\\n    tags: [debugging, troubleshooting, problem-solving, root-cause, investigation]\\n    related_skills: [test-driven-development, writing-plans, subagent-driven-development]\\n---\\n\\n# Systematic Debugging\\n\\n## Overview\\n\\nRandom fixes waste time and create new bugs. Quick patches mask underlying issues.\\n\\n**Core principle:** ALWAYS find root cause before attempting fixes. Symptom fixes are failure.\\n\\n**Violating the letter of this process is violating the spirit of debugging.**\\n\\n## The Iron Law\\n\\n```\\nNO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST\\n```\\n\\nIf you haven't completed Phase 1, you cannot propose fixes.\\n\\n## When to Use\\n\\nUse for ANY technical issue:\\n- Test failures\\n- Bugs in production\\n- Unexpected behavior\\n- Performance problems\\n- Build failures\\n- Integration issues\\n\\n**Use this ESPECIALLY when:**\\n- Under time pressure (emergencies make guessing tempting)\\n- \\\"Just one quick fix\\\" seems obvious\\n- You've already tried multiple fixes\\n- Previous fix didn't work\\n- You don't fully understand the issue\\n\\n**Don't skip when:**\\n- Issue seems simple (simple bugs have root causes too)\\n- You're in a hurry (rushing guarantees rework)\\n- Someone wants it fixed NOW (systematic is faster than thrashing)\\n\\n## The Four Phases\\n\\nYou MUST complete each phase before proceeding to the next.\\n\\n---\\n\\n## Phase 1: Root Cause Investigation\\n\\n**BEFORE attempting ANY fix:**\\n\\n### 1. Read Error Messages Carefully\\n\\n- Don't skip past errors or warnings\\n- They often contain the exact solution\\n- Read stack traces completely\\n- Note line numbers, file paths, error codes\\n\\n**Action:** Use `read_file` on the relevant source files. Use `search_files` to find the error string in the codebase.\\n\\n### 2. Reproduce Consistently\\n\\n- Can you trigger it reliably?\\n- What are the exact steps?\\n- Does it happen every time?\\n- If not reproducible → gather more data, don't guess\\n\\n**Action:** Use the `terminal` tool to run the failing test or trigger the bug:\\n\\n```bash\\n# Run specific failing test\\npytest tests/test_module.py::test_name -v\\n\\n# Run with verbose output\\npytest tests/test_module.py -v --tb=long\\n```\\n\\n### 3. Check Recent Changes\\n\\n- What changed that could cause this?\\n- Git diff, recent commits\\n- New dependencies, config changes\\n\\n**Action:**\\n\\n```bash\\n# Recent commits\\ngit log --oneline -10\\n\\n# Uncommitted changes\\ngit diff\\n\\n# Changes in specific file\\ngit log -p --follow src/problematic_file.py | head -100\\n```\\n\\n### 4. Gather Evidence in Multi-Component Systems\\n\\n**WHEN system has multiple components (API → service → database, CI → build → deploy):**\\n\\n**BEFORE proposing fixes, add diagnostic instrumentation:**\\n\\nFor EACH component boundary:\\n- Log what data enters the component\\n- Log what data exits the component\\n- Verify environment/config propagation\\n- Check state at each layer\\n\\nRun once to gather evidence showing WHERE it breaks.\\nTHEN analyze evidence to identify the failing component.\\nTHEN investigate that specific component.\\n\\n### 5. Trace Data Flow\\n\\n**WHEN error is deep in the call stack:**\\n\\n- Where does the bad value originate?\\n- What called this function with the bad value?\\n- Keep tracing upstream until you find the source\\n- Fix at the source, not at the symptom\\n\\n**Action:** Use `search_files` to trace references:\\n\\n```python\\n# Find where the function is called\\nsearch_files(\\\"function_name(\\\", path=\\\"src/\\\", file_glob=\\\"*.py\\\")\\n\\n# Find where the variable is set\\nsearch_files(\\\"variable_name\\\\\\\\s*=\\\", path=\\\"src/\\\", file_glob=\\\"*.py\\\")\\n```\\n\\n### Phase 1 Completion Checklist\\n\\n- [ ] Error messages fully read and understood\\n- [ ] Issue reproduced consistently\\n- [ ] Recent changes identified and reviewed\\n- [ ] Evidence gathered (logs, state, data flow)\\n- [ ] Problem isolated to specific component/code\\n- [ ] Root cause hypothesis formed\\n\\n**STOP:** Do not proceed to Phase 2 until you understand WHY it's happening.\\n\\n---\\n\\n## Phase 2: Pattern Analysis\\n\\n**Find the pattern before fixing:**\\n\\n### 1. Find Working Examples\\n\\n- Locate similar working code in the same codebase\\n- What works that's similar to what's broken?\\n\\n**Action:** Use `search_files` to find comparable patterns:\\n\\n```python\\nsearch_files(\\\"similar_pattern\\\", path=\\\"src/\\\", file_glob=\\\"*.py\\\")\\n```\\n\\n### 2. Compare Against References\\n\\n- If implementing a pattern, read the reference implementation COMPLETELY\\n- Don't skim — read every line\\n- Understand the pattern fully before applying\\n\\n### 3. Identify Differences\\n\\n- What's different between working and broken?\\n- List every difference, however small\\n- Don't assume \\\"that can't matter\\\"\\n\\n### 4. Understand Dependencies\\n\\n- What other components does this need?\\n- What settings, config, environment?\\n- What assumptions does it make?\\n\\n---\\n\\n## Phase 3: Hypothesis and Testing\\n\\n**Scientific method:**\\n\\n### 1. Form a Single Hypothesis\\n\\n- State clearly: \\\"I think X is the root cause because Y\\\"\\n- Write it down\\n- Be specific, not vague\\n\\n### 2. Test Minimally\\n\\n- Make the SMALLEST possible change to test the hypothesis\\n- One variable at a time\\n- Don't fix multiple things at once\\n\\n### 3. Verify Before Continuing\\n\\n- Did it work? → Phase 4\\n- Didn't work? → Form NEW hypothesis\\n- DON'T add more fixes on top\\n\\n### 4. When You Don't Know\\n\\n- Say \\\"I don't understand X\\\"\\n- Don't pretend to know\\n- Ask the user for help\\n- Research more\\n\\n---\\n\\n## Phase 4: Implementation\\n\\n**Fix the root cause, not the symptom:**\\n\\n### 1. Create Failing Test Case\\n\\n- Simplest possible reproduction\\n- Automated test if possible\\n- MUST have before fixing\\n- Use the `test-driven-development` skill\\n\\n### 2. Implement Single Fix\\n\\n- Address the root cause identified\\n- ONE change at a time\\n- No \\\"while I'm here\\\" improvements\\n- No bundled refactoring\\n\\n### 3. Verify Fix\\n\\n```bash\\n# Run the specific regression test\\npytest tests/test_module.py::test_regression -v\\n\\n# Run full suite — no regressions\\npytest tests/ -q\\n```\\n\\n### 4. If Fix Doesn't Work — The Rule of Three\\n\\n- **STOP.**\\n- Count: How many fixes have you tried?\\n- If < 3: Return to Phase 1, re-analyze with new information\\n- **If ≥ 3: STOP and question the architecture (step 5 below)**\\n- DON'T attempt Fix #4 without architectural discussion\\n\\n### 5. If 3+ Fixes Failed: Question Architecture\\n\\n**Pattern indicating an architectural problem:**\\n- Each fix reveals new shared state/coupling in a different place\\n- Fixes require \\\"massive refactoring\\\" to implement\\n- Each fix creates new symptoms elsewhere\\n\\n**STOP and question fundamentals:**\\n- Is this pattern fundamentally sound?\\n- Are we \\\"sticking with it through sheer inertia\\\"?\\n- Should we refactor the architecture vs. continue fixing symptoms?\\n\\n**Discuss with the user before attempting more fixes.**\\n\\nThis is NOT a failed hypothesis — this is a wrong architecture.\\n\\n---\\n\\n## Red Flags — STOP and Follow Process\\n\\nIf you catch yourself thinking:\\n- \\\"Quick fix for now, investigate later\\\"\\n- \\\"Just try changing X and see if it works\\\"\\n- \\\"Add multiple changes, run tests\\\"\\n- \\\"Skip the test, I'll manually verify\\\"\\n- \\\"It's probably X, let me fix that\\\"\\n- \\\"I don't fully understand but this might work\\\"\\n- \\\"Pattern says X but I'll adapt it differently\\\"\\n- \\\"Here are the main problems: [lists fixes without investigation]\\\"\\n- Proposing solutions before tracing data flow\\n- **\\\"One more fix attempt\\\" (when already tried 2+)**\\n- **Each fix reveals a new problem in a different place**\\n\\n**ALL of these mean: STOP. Return to Phase 1.**\\n\\n**If 3+ fixes failed:** Question the architecture (Phase 4 step 5).\\n\\n## Common Rationalizations\\n\\n| Excuse | Reality |\\n|--------|---------|\\n| \\\"Issue is simple, don't need process\\\" | Simple issues have root causes too. Process is fast for simple bugs. |\\n| \\\"Emergency, no time for process\\\" | Systematic debugging is FASTER than guess-and-check thrashing. |\\n| \\\"Just try this first, then investigate\\\" | First fix sets the pattern. Do it right from the start. |\\n| \\\"I'll write test after confirming fix works\\\" | Untested fixes don't stick. Test first proves it. |\\n| \\\"Multiple fixes at once saves time\\\" | Can't isolate what worked. Causes new bugs. |\\n| \\\"Reference too long, I'll adapt the pattern\\\" | Partial understanding guarantees bugs. Read it completely. |\\n| \\\"I see the problem, let me fix it\\\" | Seeing symptoms ≠ understanding root cause. |\\n| \\\"One more fix attempt\\\" (after 2+ failures) | 3+ failures = architectural problem. Question the pattern, don't fix again. |\\n\\n## Quick Reference\\n\\n| Phase | Key Activities | Success Criteria |\\n|-------|---------------|------------------|\\n| **1. Root Cause** | Read errors, reproduce, check changes, gather evidence, trace data flow | Understand WHAT and WHY |\\n| **2. Pattern** | Find working examples, compare, identify differences | Know what's different |\\n| **3. Hypothesis** | Form theory, test minimally, one variable at a time | Confirmed or new hypothesis |\\n| **4. Implementation** | Create regression test, fix root cause, verify | Bug resolved, all tests pass |\\n\\n## Hermes Agent Integration\\n\\n### Investigation Tools\\n\\nUse these Hermes tools during Phase 1:\\n\\n- **`search_files`** — Find error strings, trace function calls, locate patterns\\n- **`read_file`** — Read source code with line numbers for precise analysis\\n- **`terminal`** — Run tests, check git history, reproduce bugs\\n- **`web_search`/`web_extract`** — Research error messages, library docs\\n\\n### With delegate_task\\n\\nFor complex multi-component debugging, dispatch investigation subagents:\\n\\n```python\\ndelegate_task(\\n    goal=\\\"Investigate why [specific test/behavior] fails\\\",\\n    context=\\\"\\\"\\\"\\n    Follow systematic-debugging skill:\\n    1. Read the error message carefully\\n    2. Reproduce the issue\\n    3. Trace the data flow to find root cause\\n    4. Report findings — do NOT fix yet\\n\\n    Error: [paste full error]\\n    File: [path to failing code]\\n    Test command: [exact command]\\n    \\\"\\\"\\\",\\n    toolsets=['terminal', 'file']\\n)\\n```\\n\\n### With test-driven-development\\n\\nWhen fixing bugs:\\n1. Write a test that reproduces the bug (RED)\\n2. Debug systematically to find root cause\\n3. Fix the root cause (GREEN)\\n4. The test proves the fix and prevents regression\\n\\n## Real-World Impact\\n\\nFrom debugging sessions:\\n- Systematic approach: 15-30 minutes to fix\\n- Random fixes approach: 2-3 hours of thrashing\\n- First-time fix rate: 95% vs 40%\\n- New bugs introduced: Near zero vs common\\n\\n**No shortcuts. No guessing. Systematic always wins.**\\n\\n## Advanced Pitfalls\\n\\n### Variable Shadowing\\n\\nIf you import `text` from SQLAlchemy (`from sqlalchemy import text`) and then assign to a local variable named `text`, it shadows the import. This causes `UnboundLocalError` or silent misbehavior.\\n\\n**Rule:** Never use imported names as local variable names. Use descriptive alternatives: `pdf_text`, `page_text`, `ocr_text`, `query_result`, etc.\\n\\n**Detection:** After any `import`, scan the function body for variables with the same name.\\n\\n### CHECK Constraint Failures\\n\\nSQLite CHECK constraints can fail silently in ORM layers. An INSERT may raise `IntegrityError` but the actual constraint definition is hidden.\\n\\n**Debug:** Always inspect the schema:\\n```sql\\nPRAGMA table_info(table_name);\\nSELECT sql FROM sqlite_master WHERE type='table' AND name='table_name';\\n```\\n\\n### Daemon Process Management\\n\\nLong-running daemons (watchdog, monitoring services) may not restart cleanly with `systemctl` if root permissions are unavailable.\\n\\n**Pattern:** Use wrapper scripts with PID file management:\\n```bash\\nkill $(cat pidfile) 2>/dev/null\\nnohup python3.12 script.py > log 2>&1 &\\necho $! > pidfile\\n```\", \"path\": \"software-development/systematic-debugging/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/software-development/systematic-debugging\", \"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\": [\"debugging\", \"troubleshooting\", \"problem-solving\", \"root-cause\", \"investigation\"], \"related_skills\": [\"test-driven-development\", \"writing-plans\", \"subagent-driven-development\"]}}}",
      "tool_call_id": "call_bHZcCrnU3ggYLXLH4Tm8X8Em"
    },
    {
      "role": "tool",
      "name": "skill_view",
      "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/crypto-xlsx-initial-snapshot-dry-run.md` for the controlled real-file XLSX crypto initial-snapshot dry-run pattern and mapping decisions, `references/crypto-xlsx-initial-snapshot-production-import.md` for productive safe-subset XLSX import operations, compatibility/partial-write recovery, and dashboard correction follow-up, `references/crypto-single-coin-runtime-test.md` for controlled one-coin productive runtime tests and the coin-vs-holding ambiguity guard, `references/multi-wallet-crypto-and-equity-manage-ui.md` for approved multi-wallet single-coin snapshots, SQLite Decimal/TEXT affinity pitfalls, and synthetic-first Equity/ETF Manage UI patterns, `references/crypto-price-refresh-and-idempotent-btc-runtime.md` for robust batch price refresh and re-run-safe BTC/single-coin runtime checks, `references/crypto-runtime-db-consistency-verification.md` for post-import runtime DB consistency checks, exact safe-set verification, dashboard no-live-API testing, and runtime-only report generation, `references/mvp-crypto-manual-management-ui.md` for audited dashboard add/correct/remove crypto holding workflows after an initial snapshot, `references/mvp-market-import-safety-hardening.md` for CoinGecko provider/backoff, CSV importer completion, alert lifecycle, Git-safety and crypto Decimal precision patterns, `references/git-safety-verification-coverage.md` for the verifier-warning workflow and minimum Git-safety test matrix, `references/mvp-streamlit-dashboard.md` for the safe local Streamlit dashboard shell/read-model/testing pattern, `references/mvp-crypto-report-export.md` for local-only crypto report context/export rules, `references/github-token-push-from-drive.md` for the safe Google-Drive-token push workflow when local FinanceManager commits are ahead of GitHub, `references/runtime-backup-and-broker-mapping.md` for runtime DB backup/restore hardening plus PostFinance/True Wealth/Raiffeisen structural mapping/dry-run rules, `references/import-wizard-mapping-layer.md` for the Phase B1 import wizard, instrument/account mapping, review queue, data-quality and read-only safety pattern, `references/broker-parser-dry-run-pipeline.md` for the Phase B2 synthetic broker parser, dry-run, runtime review-item and UI quality-flag pipeline, `references/controlled-real-broker-dry-run.md` for the Phase B3 controlled real-file dry-run pattern with backup, aggregate-only reporting, runtime-only review items, and no productive position writes, and `references/broker-review-queue-hardening.md` for Phase B4 manual review queue filters, auditable mapping actions, import-readiness gating, dry-run session management, and Data Quality Center hardening without productive portfolio writes, and `references/guided-manual-review-pilot.md` for Phase B5 small-scope runtime metadata pilots that move selected review items to `ready_for_import` without productive imports, `references/broker-import-execution-plan-mini-import.md` for Phase B6 final dry-run execution plans plus exactly-one productive broker mini-import, `references/broker-mini-import-regression-and-corrections.md` for post-mini-import regression, void/correction workflows, backup/restore checks, and one-at-a-time follow-up imports, and `references/broker-mini-import-completion-and-dq-consolidation.md` for completing the last ready True-Wealth mini-import plus active-vs-resolved Data Quality alert consolidation, `references/equity-fx-market-data-phase-c.md` for the local FX/market-data foundation after broker mini-imports and before broader Equity/ETF valuation/imports, and `references/true-wealth-valuation-pilot-c2.md` for the True-Wealth valuation pilot safeguards around hedge metadata, provider mappings, historical FX failures, timestamp alignment, corporate-action flags, and aggregate-only runtime reporting, `references/true-wealth-mapping-candidate-review-c3.md` for the controlled mapping-candidate review pattern before any productive Equity/ETF price or FX valuation, `references/instrument-catalog-manual-add-workflow.md` for the general Instrument Catalog + dashboard manual-add workflow that must underpin future Equity/ETF/Crypto adds, and `references/public-instrument-lookup-candidate-generator.md` for runtime-only public metadata lookups, candidate review packs, alert dedupe, and no-auto-selection rules, and `references/mapping-candidate-ranking-decision-pack.md` for ranking raw candidates into a manual-review decision aid, Data Quality alerts, confirmation workflow, and migration pitfalls, and `references/dashboard-user-mode-ux-and-runtime-review.md` for User/Admin dashboard navigation, crypto wallet drilldowns, audited Crypto Manage actions, and runtime-only mapping demotion patterns, and `references/dashboard-functional-ux-stabilization.md` for removing duplicate Streamlit navigation, hiding unfinished User Mode pages, enforcing Read-only/Edit Mode button behavior, and testing explicit-click price/report actions, and `references/dashboard-usability-simplification.md` for the stricter MVP User Mode reduction, calm Command Center, compact Crypto/Wallet pages, direct inline action forms, and disabled-not-fake button rule, and `references/crypto-adjusted-xlsx-and-equity-docx-dryrun.md` for adjusted real crypto XLSX completion using CoinGecko IDs plus aggregate-only True Wealth/PostFinance DOCX Equity/ETF dry-run preparation, and `references/equity-docx-instrument-resolver-review-workflow.md` for the controlled Equity/ETF DOCX staging, resolver, review queue, local-Qwen-as-parser-only, and confirmed-only initial-snapshot workflow, `references/manual-equity-etf-entry-wizard.md` for the preferred manual Equity/ETF search/add-position wizard when DOCX imports are too unsafe or not approved, and `references/manual-position-entry-provider-ux.md` for User Mode placement, explicit-click provider lookup, runtime-secret loading, caching, and final verification/push discipline, and `references/equity-etf-provider-integration-openfigi-fmp.md` for the concrete OpenFIGI-first/FMP-second integration pattern, provider merge rules, local-price preview semantics, and `update-equity-prices` workflow, `references/provider-integration-sprint-v2.md` for the multi-provider Free/Fallback pattern covering OpenFIGI/FMP/Finnhub/Twelve Data/Massive/EODHD, explicit-action dashboard semantics, sanitized status/error categories, and low-volume EODHD handling, and `references/provider-secret-auth-debugging.md` for targeted runtime-secret/provider-auth debugging when keys are present but OpenFIGI/FMP smoke tests fail, and `references/mvp-freeze-zwischenbericht-abnahme.md` for the MVP-freeze Zwischenbericht/Abnahmeplan pattern after an accepted implementation sprint, and `references/mvp-dashboard-workflow-regressions.md` for MVP dashboard regression coverage around cached FX, Cash wizard writes, explicit-click Equity/Crypto price refresh, Crypto cache-detail UX, runtime cleanup archives, and authenticated push verification, and `references/mvp-acceptance-dashboard-fx-valuation-cleanup.md` for acceptance-mode dashboard fixes covering hidden internal FX statuses, cache/provider/manual/missing FX flows, Equity/ETF valuation labels, runtime cleanup backup/audit, and final push verification. 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- For broker/bank imports (PostFinance, True Wealth, Raiffeisen), build the safe review layer before productive imports: Import Wizard, instrument mappings, platform/account mappings, dry-run summaries, Manual Review Queue, Data Quality Center and visible read-only/write-enabled state. Follow `references/import-wizard-mapping-layer.md`. When wiring parser output into the wizard, use the synthetic-first parser/dry-run/review-item pipeline in `references/broker-parser-dry-run-pipeline.md`. After explicit approval for real-file dry-runs, follow `references/controlled-real-broker-dry-run.md`: preflight, verified runtime backup, temp-only file handling, aggregate-only reporting, runtime-only review items, and verification that productive positions/ledger rows stayed unchanged. For DOCX portfolio extracts from True Wealth/PostFinance, follow `references/crypto-adjusted-xlsx-and-equity-docx-dryrun.md`: use structural/masked parsing only, count field coverage and mapping status, treat ticker-without-exchange as review-needed, and stop before productive import. If the DOCX dry run shows low ISIN coverage/no cost basis/no transaction history or the user withholds final import approval, switch to `references/equity-docx-instrument-resolver-review-workflow.md`: create `instrument_import_candidates`-style staging, use local Qwen only as an assistive parser if available, classify ticker-only rows as `needs_manual_review`, expose a Mapping Review Queue, and import only later from `confirmed` candidates after explicit approval. If the user rejects productive DOCX import or wants direct manual control, follow `references/manual-equity-etf-entry-wizard.md`: make the main path an audited portfolio-app-style search/add-position wizard with explicit candidate selection, no live API on render, no ticker-only auto-selection, hidden technical IDs in User Mode, cost-basis/FX quality alerts, and audit-log writes. When the user asks to make real dry-run results manually editable, follow `references/broker-review-queue-hardening.md`: add filters/detail views, auditable review-metadata actions, per-item/session import-readiness status, dry-run session management, and Data Quality Center counts while keeping productive portfolio writes disabled. For a guided manual-review pilot on real runtime items, follow `references/guided-manual-review-pilot.md`: select 1–3 clear ETF/equity items (prefer True Wealth), write only audited review metadata, correct only presence booleans if needed, derive `ready_for_import` via readiness logic, and verify productive tables remain unchanged. Before the first productive broker position import, follow `references/broker-import-execution-plan-mini-import.md`: create runtime-only execution plans from the ready review items, validate exact Decimal-text payloads from the runtime source, preserve missing FX/cost-basis quality flags, then import exactly one ledger `initial_position_snapshot` after a verified backup; do not write `positions_snapshot` as the source of truth. After the first mini-import and before broader imports, follow `references/broker-mini-import-regression-and-corrections.md`: verify import links/audit/Decimal handling/re-import blocking, add or test safe void/correction flows, run backup/restore-to-test-DB regression, and only then optionally import one more ready plan. When the user approves finishing a remaining small set, follow `references/broker-mini-import-completion-and-dq-consolidation.md`: first disambiguate active vs resolved stale crypto alerts with `check-data-quality --scope crypto --resolve-fixed`, then import exactly one remaining ready execution plan after backup/verify, and consolidate Review Queue/Data Quality counts without exposing values.\\n- Do not pivot into later analytics modules while the user has asked for import/mapping hardening. Monte Carlo, backtesting, rebalancing, scores, heatmaps and projections are later phases unless explicitly re-authorized.\\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 acceptance-mode dashboard fixes around manual position entry and valuation UX, follow `references/mvp-acceptance-dashboard-fx-valuation-cleanup.md`: hide internal FX status codes from User Mode, treat CHF as `not_needed`, resolve USD/EUR via cache/provider on explicit save, require a conscious manual-or-missing choice when FX cannot be resolved, and never store `ok` without a rate. For real Runtime-DB Streamlit regression sprints spanning Alerts, navigation, FX/Cash, Equity/ETF interaction, cleanup, no-live-render, browser sanity, and final push verification, also follow `references/dashboard-real-ui-acceptance-regression.md`.\\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. After explicit user approval, real files may be read only from temp/runtime for controlled dry runs using `references/crypto-xlsx-initial-snapshot-dry-run.md`; report only aggregate counts/labels and never quantities or values. Productive safe-subset imports require a second explicit approval and must follow `references/crypto-xlsx-initial-snapshot-production-import.md`: external runtime DB only, no real CSV/XLSX/reports/DBs in Git, Git-safety before/after, import-session + audit-log creation, and aggregate-only reporting. When the user supplies an adjusted real crypto workbook with CoinGecko IDs for missing/previously skipped assets, follow `references/crypto-adjusted-xlsx-and-equity-docx-dryrun.md`: detect the actual structure first, validate IDs against CoinGecko metadata, import only clear missing asset/holding subsets after verified backup, preserve Decimal/Text quantities, ignore legacy CHF values, and delete temporary source files.\\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 report context/export must be renderer-neutral and local-only: build from SQLite, aggregate by coin and wallet, use local cached prices only, preserve Decimal/Text values, ignore legacy snapshot values for current valuation, include data-quality warnings, and write generated files only to the external runtime reports directory.\\n- Crypto PDF export should be optional-dependency tolerant: prefer PDF when a renderer is available, otherwise fall back to HTML/Markdown with a clear warning while still recording report metadata and audit.\\n- After productive real-data crypto imports, run the post-import runtime verification in `references/crypto-runtime-db-consistency-verification.md`: exact safe-set membership checks, aggregate-only counts, audit/import-session traceability, dashboard render with no live API, runtime-only report generation, and Git-safety before/after.\\n- Manual dashboard additions/corrections/removals after an initial snapshot must follow `references/mvp-crypto-manual-management-ui.md`: no silent `crypto_holdings` mutation, explicit confirmation, mandatory notes for adjustments/removals, audit-log entries with old/new values, Decimal/TEXT quantity handling, no negative holdings, and no live API lookup during render. For dashboard UX/read-model work, also follow `references/dashboard-user-mode-ux-and-runtime-review.md`: split User Mode from Admin/Review/Debug, aggregate coins across wallets, hide technical IDs in normal views, keep cached-price semantics explicit, and make Crypto Manage actions audited workflows rather than raw table edits.\\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- For Equity/ETF FX and market-data hardening after broker mini-imports, follow `references/equity-fx-market-data-phase-c.md`: validate active `missing_fx` alerts by original transaction currency first, correct only CHF false positives with audit, keep foreign-currency missing-FX alerts active until local historical rates exist, use ISIN as instrument identity and provider symbols only as market-data mappings, and run market-price providers only from explicit CLI/scheduled jobs.\\n- For the True-Wealth valuation pilot, follow `references/true-wealth-valuation-pilot-c2.md`: do not import more positions, do not guess provider symbols or hedge status, extend instrument metadata for currency hedging/status/valuation policy/corporate-action state, handle historical-FX paywalls as `manual_override_required` without crashing, align price/FX timestamps before claiming valuation precision, and report only aggregate runtime counts.\\n- For True-Wealth mapping-candidate review after the valuation pilot, follow `references/true-wealth-mapping-candidate-review-c3.md`: create runtime-only provider-symbol candidates keyed by ISIN/instrument, keep name-only or ticker-without-exchange candidates review-required, mark multiple candidates `needs_manual_review`, do not auto-select final mappings on ambiguity, keep hedge/instrument status unknown until confirmed, and ensure market-price dry runs call no provider when there are zero confirmed mappings. For public metadata lookup implementation details, provider result caps, OpenFIGI/Yahoo evidence handling, alert dedupe, runtime-only review templates, and UI/test requirements, use `references/public-instrument-lookup-candidate-generator.md`. For ranking/scoring candidates, generating a runtime-only user decision pack, surfacing `candidate_review_required` and same-ISIN multiple-listing risks, and confirming/rejecting candidates with audit logs, use `references/mapping-candidate-ranking-decision-pack.md`.\\n- For the broader Instrument Catalog + manual-add workflow, follow `references/instrument-catalog-manual-add-workflow.md`: documents/import files are initial-population aids, but the dashboard must allow audited manual add of equities/ETFs and later coins via search, candidate selection, account/wallet selection, Decimal/Text quantity, date, cost-basis/snapshot info and notes. ISIN is primary for equities/ETFs but can have multiple listings; ticker/symbol alone is never unique; provider symbols are market-data mappings only; CoinGecko ID is primary for crypto provider identity. External lookups may use only non-confidential instrument metadata and must never send quantities, balances, account/wallet IDs, cost basis, private notes or source documents. If DOCX/Broker import is not approved or structurally weak, use `references/manual-equity-etf-entry-wizard.md` as the preferred user path: search on explicit click, show candidates, require conscious selection, allow warned manual creation, then review/confirm an audited initial snapshot or transaction. For the concrete Dashboard/User-Mode implementation pattern, provider order (local/OpenFIGI/FMP/Finnhub/manual), runtime `.env` secret lookup, provider-result caching, and final compile/test/Git-safety/commit/push discipline, also follow `references/manual-position-entry-provider-ux.md` and `references/equity-etf-provider-integration-openfigi-fmp.md`. For multi-provider hardening across OpenFIGI/FMP/Finnhub/Twelve Data/Massive/EODHD, follow `references/provider-integration-sprint-v2.md`: support all documented secret aliases including `TWELVEDATA_API_KEY`, keep FMP primary, use Twelve/Finnhub/Massive as fallback, keep EODHD explicit low-volume only, sanitize status/error output, and ensure dashboard status uses non-probing render mode. If provider smoke tests report missing candidates or unreachable providers despite keys being stored, first follow `references/provider-secret-auth-debugging.md`: verify runtime secret loading without printing values, classify 401/403 as `auth_failed` rather than generic reachability failure, and improve status diagnostics before adding features.\\n- First Streamlit MVP should be a safe, local, read-first shell over SQLite with explicit synthetic demo DB creation only; page render functions must not call CoinGecko/market APIs, and tests should prove that by monkeypatching provider methods to fail.\\n- Functional UX stabilization work must prioritize making the existing dashboard genuinely usable before adding more pages. Follow `references/dashboard-functional-ux-stabilization.md`: use one navigation system, move executable page modules out of Streamlit `pages/` when using a custom router, hide unfinished pages from User Mode, replace text-link/fake actions with real buttons or disabled controls, enforce session-based Edit Mode for writes, keep IDs/debug notes out of User Mode, and test price/report provider calls happen only on explicit clicks. If the user says the dashboard is still too busy or prototype-like, follow `references/dashboard-usability-simplification.md`: reduce User Mode to only currently useful pages, keep the Command Center calm, avoid misleading `CHF 0.00` Equity/ETF displays when valuation is incomplete, make Crypto the primary MVP surface, and ensure every visible button either works immediately, opens an inline form, or is disabled with a reason. For regression hardening after manual-position/provider work, also follow `references/mvp-dashboard-workflow-regressions.md`: cache-first historical FX, audited Cash wizard writes, explicit-click Equity/ETF and Crypto refreshes, no live API on render, User Mode cache-source labels without raw IDs, and manifest-based runtime cleanup.\\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- Crypto price refresh belongs in CLI/scheduled-job commands, not dashboard/report rendering. Prefer CoinGecko batch requests over per-coin requests; expose conservative controls (`--sleep-seconds`, `--max-retries`, `--initial-backoff`, `--max-backoff`, `--only-missing`, `--only-stale`, `--only-symbol`, `--limit`, `--dry-run`, `--currency`). Commands should use aggregate-only output (`total_assets/updated/cached/skipped/stale/warnings/errors/assets_still_missing_local_price`), cache by configurable `max_age_seconds`, store exact Decimal prices as TEXT in `crypto_prices`, and verify dashboard/report contexts read local prices with `live_api_calls=False`. For details and tests see `references/crypto-price-refresh-and-idempotent-btc-runtime.md`.\\n- After an accepted sprint, respect an explicit MVP freeze: do not add providers or large features; write/update the sanitized repo report and acceptance checklist, verify with compile/tests/Git-safety, commit/push, and prepare the next real end-to-end runtime test. See `references/mvp-freeze-zwischenbericht-abnahme.md`.\\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. For multi-wallet real-data snapshots and Equity/ETF ledger fields, also see `references/multi-wallet-crypto-and-equity-manage-ui.md`; SQLite `NUMERIC` affinity can coerce Decimal-looking text to `real`, so schema/migrations should use `TEXT` for exact quantities, FX rates, original amounts and CHF equivalents where precision matters.\\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- Before broader productive imports, implement or verify the runtime backup loop in `references/runtime-backup-and-broker-mapping.md`: backup outside Git, SHA256 verification, restore requiring explicit confirmation, tests for backup/restore/checksum, and Git-safety coverage that blocks backup artifacts in the repo. For PostFinance/True Wealth/Raiffeisen, perform structural mapping and dry-runs only until the user approves import; report aggregate counts/field coverage/quality flags only, never real values or raw rows. If backup CLI output is too terse to evidence the backup path/checksum, call `jarvis_finance.runtime.backup.backup_runtime_db(...)` and `verify_backup(...)` directly and report only path-existence/outside-repo/checksum status, not DB contents.\\n\\n## Common pitfalls\\n\\n- Starting later analytics (Monte Carlo, backtesting, rebalancing, scoring, heatmaps, projections) while import/mapping/data-quality phases are still being hardened or while the user explicitly asked to postpone them.\\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- In broker/bank real-file dry-runs, aggregating Data Quality flags only for `review_status='open'`. Blocked review items are still actionable data-quality issues; include `open` and `blocked` so defensive Raiffeisen aggregate-only rows remain visible.\\n- Letting manual review actions blur into productive import actions. Review-metadata writes (ISIN/ticker/exchange/account/instrument confirmations, ignore/resolve, dry-run archive/current status) may be allowed with audit logs, but they must not write `positions_snapshot`, `transactions`, `cash_balances`, ledger rows, or cash snapshots. Name-only mapping must never become `mapped`/`ready_for_import`; ticker-only without exchange remains review-needed; `aggregate_only` remains blocked for instrument import. In guided pilots, do not force `ready_for_import` by direct status edits; let readiness logic derive it after audited metadata actions, and if parser presence flags were missed, correct only boolean presence metadata with an audit event, never actual quantities/values.\\n- Skipping the execution-plan layer between ready review items and productive broker imports. A final dry-run should materialize runtime-only execution plans with source row hash, target IDs, exact Decimal-text payload summary, quality flags and planned write status. Productive mini-imports should consume exactly one planned ready payload, write exactly one ledger `initial_position_snapshot`, mark that plan/review item imported, leave the other ready plans untouched, and verify zero direct `positions_snapshot`/cash writes. After the first productive mini-import, do not proceed straight to mass import: run regression checks, implement/test void and correction audit paths, verify backup/restore to a separate test DB, and import at most one additional ready plan. When later completing the final ready plan, first resolve Data Quality alert ambiguity by counting only active alerts (`status='active'`) and treating resolved rows as history; then import exactly one plan and consolidate counts. See `references/broker-import-execution-plan-mini-import.md`, `references/broker-mini-import-regression-and-corrections.md`, and `references/broker-mini-import-completion-and-dq-consolidation.md`.\\n- Running compile/tests before Git-safety and forgetting generated `__pycache__`; remove or ignore generated caches before safety scans. `pytest` may recreate `.pytest_cache`, so remove `__pycache__`/`.pytest_cache` again after test execution and before `git-safety-scan`.\\n- Treating every active `missing_fx` alert after a broker mini-import as a bug. First aggregate by original currency: CHF rows may be false positives (`fx=1`, `not_needed`, resolve with audit), but foreign-currency rows without local historical FX should remain active and block precise CHF valuation until rates are populated.\\n- Auto-mapping Equity/ETF market prices by instrument name or ticker alone. ISIN is the instrument identity, but one ISIN can have multiple listings across exchange/currency, so even ISIN matches may need candidate selection. Provider symbols are separate market-data mappings, ticker without exchange is review-needed, and missing provider symbols should create deduplicated Data Quality alerts rather than triggering provider guesses. For mapping-candidate phases, candidate creation is allowed in the runtime DB, but final selection must remain manual/audited unless the user explicitly approves and the match is unambiguous. Public lookup endpoints can return dozens of listings; cap result sets, dedupe active mapping alerts by rule/entity, and do not treat search-fallback results as ISIN-confirmed unless the provider response supplies ISIN evidence.\\n- Designing future portfolio entry as import-file-only. Imports/documents are for initial population and existing holdings; the system must also support dashboard manual add/search workflows with audited ledger writes, explicit candidate selection, Decimal/Text quantities, required notes where history is incomplete, and no silent overwrites. If the user says DOCX/Broker files are too unsafe or not approved, stop the productive import path and pivot to the manual Equity/ETF wizard in `references/manual-equity-etf-entry-wizard.md`; keep the review queue optional/admin-only, ensure manual-entry broker accounts exist, and do not expose technical IDs in User Mode. The manual entry path must be visible in normal User Mode (e.g. `Position hinzufügen`) with Command Center routing; provider lookup must be explicit-click only, cache results locally, load provider keys from runtime secrets, and degrade missing keys to warnings. See `references/instrument-catalog-manual-add-workflow.md` and `references/manual-position-entry-provider-ux.md`.\\n- Letting an Equity/ETF market-price dry run call providers when no confirmed mappings exist. The safe outcome is `total_mappings=0`, no provider calls, and aggregate reporting only.\\n- For valuation pilots on historical broker snapshots, treating a computable current market value as a clean performance result. `snapshot_only`, `cost_basis_uncertain`, missing hedge confirmation, missing historical FX, stale price/FX timestamp alignment, or suspected corporate actions must keep valuation `partially_valuable` or suppress precise Total Return until reviewed.\\n- Inferring CHF-hedged ETF behavior from the name alone. Hedge status is methodology-critical: unknown status should create a warning/review item; confirmed CHF hedging must prevent naive free FX-PnL attribution.\\n- Crashing or blocking on historical-FX provider paywalls. Persist `manual_override_required`, create deduplicated alerts, keep the flow moving, and require a noted audited manual override instead of guessing latest FX.\\n- Productive real-data imports can partially write before surfacing schema/importer compatibility issues. Do not rerun blindly or dump row-level data; inspect aggregate counts and unique identifiers needed for idempotency, patch/complete via missing-only inserts, then verify committed import session, audit log, Git clean and Git-safety OK.\\n- In controlled one-coin runtime tests from a real XLSX, distinguish **one coin/asset** from **one holding/wallet row**. A coin may be split across multiple wallet columns; if the user required an unambiguous target wallet or one holding, stop and ask rather than choosing a wallet silently. If the user explicitly approves multi-wallet import for that coin, import exactly one asset plus one audited holding per non-empty approved wallet cell; verify aggregate counts only. If re-running a BTC/single-coin test finds the exact approved asset and holdings already present, do not import duplicates; perform the aggregate-only idempotency checks and report that asset/holding counts did not increase because duplicate prevention succeeded. See `references/crypto-single-coin-runtime-test.md`, `references/multi-wallet-crypto-and-equity-manage-ui.md`, and `references/crypto-price-refresh-and-idempotent-btc-runtime.md`.\\n- After productive crypto imports, do a separate aggregate-only consistency pass before building new features: DB/runtime outside repo, exact safe-subset membership, no duplicate/negative/orphan holdings, correct snapshot date, null legacy-value fields when ignored, import sessions committed, holding-level audit traces present, dashboard local-read/no-live-API verified, and report generated only under runtime reports.\\n- Letting a dashboard correction UI mutate crypto holdings directly. Add/remove/edit operations must become audited transactions or `manual_adjustment` events with mandatory notes where appropriate; preserve history instead of silently overwriting balances.\\n- Letting normal dashboard pages become technical raw-table dumps. For this user's Finance dashboard, implement an Alltag/User Mode that hides internal IDs/provider internals and presents aggregate, actionable read models; keep raw identifiers, candidate details and audit/debug fields in Admin/Review/Data Quality views. See `references/dashboard-user-mode-ux-and-runtime-review.md`.\\n- Treating Streamlit dashboard UX stabilization as a chance to build more modules. When the user complains about prototype feel, first eliminate duplicate navigation, empty User Mode pages, fake/text buttons, unclear Read-only/Edit state, and raw technical IDs. Keep unfinished pages in Admin/Debug or hide them; every visible button must work, prefill a real workflow, or be disabled with a reason. See `references/dashboard-functional-ux-stabilization.md` and `references/dashboard-usability-simplification.md`.\\n- Letting an accepted sprint half-finished because the next feature is tempting. If cleanup, final tests, Git-safety, commit, and push are still missing, finish those in order before starting new work. Remove `.pytest_cache`/`__pycache__` before and after tests, then run Git-safety, `git diff --check`, verify clean status, commit, push, and fetch/update `origin/main` to prove sync. See `references/dashboard-usability-simplification.md`.\\n- Breaking an explicit MVP freeze by adding more providers/features after the user accepted the sprint. In freeze mode, produce the sanitized Zwischenbericht/Abnahmeplan, separate implemented vs not-finished vs risks, include concrete user acceptance checklists, and run the same verification/push discipline as code changes. See `references/mvp-freeze-zwischenbericht-abnahme.md`.\\n- Running Git-safety immediately after pytest without cleaning generated caches. Pytest can recreate `.pytest_cache`; remove `.pytest_cache` and `__pycache__` after the final test run, then run Git-safety before staging/commit/push.\\n- In MVP acceptance mode, exposing raw internal workflow states (`ok`, `missing`, `manual_override_required`, `not_needed`) to User Mode is a bug, not documentation. Convert them into plain choices such as automatic FX, manual FX, or save incomplete; keep the stored internal status deterministic and audited.\\n- Treating absent CoinGecko/Crypto detailcache code as something to invent during an acceptance bugfix sprint. If the codebase has no implementation, report it as an explicit open gap unless the user authorizes a new feature mini-sprint.\\n- Relying on the user's prose description of a spreadsheet layout instead of detecting the actual workbook structure. In adjusted crypto XLSX files, CoinGecko IDs may appear as an `API ID` column in the same row rather than a preceding row; use the detected structure, validate IDs, and report the difference aggregate-only.\\n- Treating formula/scientific-notation source cells as automatic import blockers. Count them, but block only when exact Decimal/Text conversion fails; never use float arithmetic for crypto quantities.\\n- Printing raw DOCX/table rows while analyzing real broker files. Use masked structural flags and aggregate counts only; real position names/values/quantities stay out of chat/log summaries.\\n- Counting ticker-like tokens from DOCX as confirmed Equity/ETF mappings. Without ISIN plus exchange/provider confirmation, mappings are `probable` or `needs_manual_review`, not productive-import ready.\\n- Treating low-confidence Equity/ETF DOCX extraction as enough for import. If most positions lack ISIN, cost basis or transaction history, build/operate a staging resolver and Mapping Review Queue first. Ticker-only rows stay `needs_manual_review`; local Qwen may help extract candidates but must not decide mappings or write ledger rows. See `references/equity-docx-instrument-resolver-review-workflow.md`.\\n- Treating verifier/file-mutation warnings as either automatically true or automatically false. Check the exact commit with `git show --name-status --patch <commit> -- <file>`, then separately verify whether the test matrix actually covers the promised cases.\\n- Treating provider lookup smoke-test failures as simple `not reachable` / `no candidates` when runtime keys exist. 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      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from pathlib import Path\\n     4|from sqlite3 import Connection\\n     5|\\n     6|from jarvis_finance.config.settings import ensure_runtime_dirs, find_repo_root, load_settings\\n     7|from jarvis_finance.dashboard.demo_data import load_synthetic_demo_data\\n     8|from jarvis_finance.dashboard.pages import PAGES\\n     9|from jarvis_finance.dashboard import data as dashboard_data\\n    10|from jarvis_finance.storage.database import connect\\n    11|from jarvis_finance.storage.migrations import apply_migrations\\n    12|\\n    13|USER_PAGE_TITLES = [\\\"Command Center\\\", \\\"Crypto\\\", \\\"Wallets\\\", \\\"Aktien & ETFs\\\", \\\"Position hinzufügen\\\", \\\"Reports\\\"]\\n    14|ADMIN_PAGE_TITLES = [\\\"Ledger\\\", \\\"Audit\\\", \\\"Alerts\\\", \\\"Data Quality\\\", \\\"Import Wizard\\\", \\\"Settings\\\", \\\"Crypto Manage\\\", \\\"Equity/ETF Manage\\\", \\\"Manual Review Queue\\\", \\\"Watchlist\\\"]\\n    15|TITLE_ALIASES = {\\\"Settings / Data Quality\\\": \\\"Settings\\\", \\\"Data Quality Center\\\": \\\"Data Quality\\\", \\\"Equities/ETFs\\\": \\\"Aktien & ETFs\\\"}\\n    16|\\n    17|\\n    18|def safe_connect_existing_db(db_path: Path) -> Connection | None:\\n    19|    if not db_path.exists():\\n    20|        return None\\n    21|    conn = connect(db_path)\\n    22|    apply_migrations(conn)\\n    23|    return conn\\n    24|\\n    25|\\n    26|def create_demo_db(db_path: Path) -> None:\\n    27|    db_path.parent.mkdir(parents=True, exist_ok=True)\\n    28|    conn = connect(db_path)\\n    29|    try:\\n    30|        load_synthetic_demo_data(conn)\\n    31|    finally:\\n    32|        conn.close()\\n    33|\\n    34|\\n    35|def get_user_navigation_titles() -> list[str]:\\n    36|    return list(USER_PAGE_TITLES)\\n    37|\\n    38|\\n    39|def get_admin_navigation_titles() -> list[str]:\\n    40|    return list(ADMIN_PAGE_TITLES)\\n    41|\\n    42|\\n    43|def _display_title(page) -> str:\\n    44|    return TITLE_ALIASES.get(page.PAGE_TITLE, page.PAGE_TITLE)\\n    45|\\n    46|\\n    47|def _page_by_display_title() -> dict[str, object]:\\n    48|    return {_display_title(page): page for page in PAGES}\\n    49|\\n    50|\\n    51|def run_app() -> None:\\n    52|    import streamlit as st\\n    53|\\n    54|    st.set_page_config(page_title=\\\"JARVIS Finance\\\", layout=\\\"wide\\\")\\n    55|    st.sidebar.title(\\\"JARVIS Finance\\\")\\n    56|    st.sidebar.caption(\\\"Investment Dashboard · lokal · auditierbar\\\")\\n    57|\\n    58|    try:\\n    59|        repo_root = find_repo_root()\\n    60|        settings = load_settings(repo_root=repo_root)\\n    61|    except Exception as exc:\\n    62|        st.error(f\\\"Settings-/Runtime-Ladeprüfung fehlgeschlagen: {exc}\\\")\\n    63|        st.info(\\\"Prüfe JARVIS_FINANCE_RUNTIME_DIR. Runtime muss ausserhalb des Repos liegen.\\\")\\n    64|        return\\n    65|\\n    66|    ensure_runtime_dirs(settings)\\n    67|    db_path = settings.db_path\\n    68|    conn = safe_connect_existing_db(db_path)\\n    69|\\n    70|    if conn is None:\\n    71|        st.title(\\\"JARVIS Finance Dashboard\\\")\\n    72|        st.error(f\\\"Keine lokale SQLite-DB gefunden: {db_path}\\\")\\n    73|        st.info(\\\"Das Dashboard erstellt oder verändert keine echte Datenbank automatisch.\\\")\\n    74|        st.caption(\\\"Für lokale Entwicklung kann explizit eine synthetische Dummy-DB aus tests/fixtures geladen werden.\\\")\\n    75|        if st.button(\\\"Synthetische Dummy-DB jetzt erstellen\\\", type=\\\"primary\\\"):\\n    76|            create_demo_db(db_path)\\n    77|            st.success(\\\"Synthetische Dummy-DB erstellt. Bitte Seite neu laden.\\\")\\n    78|        return\\n    79|\\n    80|    try:\\n    81|        page_map = _page_by_display_title()\\n    82|        mode = st.sidebar.radio(\\\"Modus\\\", [\\\"User Mode\\\", \\\"Admin / Review / Debug\\\"], index=0)\\n    83|        st.sidebar.markdown(\\\"---\\\")\\n    84|        if mode == \\\"User Mode\\\":\\n    85|            names = [name for name in USER_PAGE_TITLES if name in page_map]\\n    86|            requested = st.session_state.pop(\\\"jarvis_requested_page\\\", None) if hasattr(st, \\\"session_state\\\") else None\\n    87|            default_index = names.index(requested) if requested in names else 0\\n    88|            if requested in names and hasattr(st, \\\"session_state\\\"):\\n    89|                st.session_state[\\\"jarvis_user_navigation\\\"] = requested\\n    90|            selected = st.sidebar.radio(\\\"Hauptnavigation\\\", names, index=default_index, key=\\\"jarvis_user_navigation\\\")\\n    91|            st.sidebar.caption(\\\"Technische IDs und Rohdaten sind im User Mode ausgeblendet.\\\")\\n    92|        else:\\n    93|            user_default = [name for name in USER_PAGE_TITLES if name in page_map]\\n    94|            admin_names = [name for name in ADMIN_PAGE_TITLES if name in page_map]\\n    95|            selected = st.sidebar.radio(\\\"Admin / Daten\\\", admin_names or user_default, index=0)\\n    96|            st.sidebar.warning(\\\"Admin Mode: technische IDs, Rohdaten und Review-Details sichtbar.\\\")\\n    97|        st.session_state[\\\"jarvis_dashboard_mode\\\"] = mode\\n    98|        st.session_state[\\\"jarvis_admin_mode\\\"] = mode != \\\"User Mode\\\"\\n    99|        edit_enabled = bool(st.sidebar.toggle(\\\"Bearbeiten aktivieren\\\", value=bool(st.session_state.get(\\\"jarvis_edit_mode\\\", False))))\\n   100|        st.session_state[\\\"jarvis_edit_mode\\\"] = edit_enabled\\n   101|        if edit_enabled:\\n   102|            st.sidebar.warning(\\\"Edit Mode aktiv: Änderungen schreiben in die Runtime-DB und benötigen Review/Bestätigung.\\\")\\n   103|        else:\\n   104|            st.sidebar.info(\\\"Read-only Mode: Schreibaktionen sind deaktiviert.\\\")\\n   105|\\n   106|        st.sidebar.write(f\\\"DB: `{db_path}`\\\")\\n   107|        safe = dashboard_data.get_safe_mode_status(conn)\\n   108|        st.sidebar.info(f\\\"DB-Modus: {safe['db_mode']} | Write Mode: {safe['write_mode']}\\\")\\n   109|        st.sidebar.caption(f\\\"Backup: {safe['last_backup_at']}\\\")\\n   110|        st.sidebar.warning(\\\"Keine Live-API-Abfragen beim Seitenreload. Preise nur aus lokaler DB/Cache. Echte Daten liegen außerhalb Git.\\\")\\n   111|        page = page_map[selected]\\n   112|        page.render(st, conn)\\n   113|    finally:\\n   114|        conn.close()\\n   115|\\n   116|\\n   117|if __name__ == \\\"__main__\\\":\\n   118|    run_app()\\n   119|\", \"total_lines\": 118, \"file_size\": 5196, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from pathlib import Path\\n     4|\\n     5|from jarvis_finance.config.paths import RuntimePaths\\n     6|from jarvis_finance.config.settings import Settings, load_settings\\n     7|from jarvis_finance.dashboard.components.tables import show_table\\n     8|from jarvis_finance.dashboard import data\\n     9|from jarvis_finance.market.providers import CoinGeckoClient, refresh_crypto_prices\\n    10|from jarvis_finance.market_data.prices import equity_price_provider_by_name, refresh_market_prices\\n    11|from jarvis_finance.reports.crypto_inventory import export_crypto_inventory_report\\n    12|\\n    13|PAGE_TITLE = \\\"Command Center\\\"\\n    14|\\n    15|\\n    16|def _metric_row(st, metrics: list[tuple[str, str, str | None]]) -> None:\\n    17|    cols = st.columns(len(metrics))\\n    18|    for col, (label, value, help_text) in zip(cols, metrics):\\n    19|        col.metric(label, value, help=help_text)\\n    20|\\n    21|\\n    22|def _report_settings(st) -> Settings:\\n    23|    runtime_override = st.session_state.get(\\\"jarvis_reports_runtime_dir\\\") if hasattr(st, \\\"session_state\\\") else None\\n    24|    if runtime_override:\\n    25|        return Settings(runtime_paths=RuntimePaths.from_base(Path(str(runtime_override))))\\n    26|    return load_settings()\\n    27|\\n    28|\\n    29|def _request_position_add(st) -> None:\\n    30|    if hasattr(st, \\\"session_state\\\"):\\n    31|        st.session_state[\\\"jarvis_requested_page\\\"] = \\\"Position hinzufügen\\\"\\n    32|\\n    33|\\n    34|def render(st, conn) -> None:\\n    35|    st.title(\\\"Command Center\\\")\\n    36|    st.caption(\\\"Ruhige Startseite: wichtigste Werte, wenige Hinweise, direkte MVP-Aktionen. Keine API-Abfragen beim Laden.\\\")\\n    37|    summary = data.get_command_center_summary(conn)\\n    38|    crypto = data.get_crypto_summary_cards(conn)\\n    39|    _metric_row(st, [\\n    40|        (\\\"Gesamtportfolio CHF\\\", data.chf_text(summary[\\\"total_portfolio_chf\\\"]), None),\\n    41|        (\\\"Crypto CHF\\\", data.chf_text(summary[\\\"crypto_total_chf\\\"]), None),\\n    42|        (\\\"Aktien/ETF CHF\\\", data.equity_etf_user_label(summary), \\\"nicht prominent bewertet, solange Marktpreise/FX fehlen\\\"),\\n    43|        (\\\"Kritische Punkte\\\", summary[\\\"critical_alert_count\\\"], \\\"aktive kritische Hinweise\\\"),\\n    44|        (\\\"Letztes Preisupdate\\\", data.date_text(summary[\\\"last_price_update_at\\\"]), None),\\n    45|    ])\\n    46|\\n    47|    if data.equity_etf_user_label(summary) == \\\"noch nicht bewertet\\\":\\n    48|        st.info(\\\"Aktien/ETF: Bewertung unvollständig. Details bitte im Admin/Data-Quality-Bereich prüfen; im User Mode wird kein irreführender CHF-0-Wert angezeigt.\\\")\\n    49|\\n    50|    st.subheader(\\\"Was ist wichtig?\\\")\\n    51|    hints = data.get_top_user_hints(conn, limit=3)\\n    52|    if not hints:\\n    53|        st.success(\\\"Keine wichtigen Hinweise.\\\")\\n    54|    for hint in hints[:3]:\\n    55|        st.markdown(f\\\"**Wichtig:** {hint}\\\")\\n    56|\\n    57|    st.subheader(\\\"Top 5 Crypto-Positionen\\\")\\n    58|    crypto_rows = data.get_crypto_coin_summary(conn)[:5]\\n    59|    show_table(st, [{k: r[k] for k in [\\\"coin\\\", \\\"symbol\\\", \\\"gesamtwert_chf\\\", \\\"anteil\\\", \\\"status\\\"] if k in r} for r in crypto_rows])\\n    60|\\n    61|    st.subheader(\\\"Schnellaktionen\\\")\\n    62|    a, b, c, d = st.columns(4)\\n    63|    if a.button(\\\"+ Position hinzufügen\\\", key=\\\"cc_position_add\\\", on_click=_request_position_add, args=(st,)):\\n    64|        a.success(\\\"Öffne die User-Mode-Seite „Position hinzufügen“. Dort startet der Wizard.\\\")\\n    65|    if b.button(\\\"Preise aktualisieren\\\", key=\\\"cc_price_refresh\\\"):\\n    66|        b.spinner(\\\"Lokale CHF-Preise werden aktualisiert …\\\")\\n    67|        crypto_result = refresh_crypto_prices(conn, provider=CoinGeckoClient(max_retries=2, initial_backoff_seconds=1.0, max_backoff_seconds=8.0), currency=\\\"CHF\\\", only_missing=True, sleep_seconds=1.0)\\n    68|        stock = refresh_market_prices(conn, provider=equity_price_provider_by_name(\\\"auto\\\"), asset_class=\\\"stock\\\", only_missing=True)\\n    69|        etf = refresh_market_prices(conn, provider=equity_price_provider_by_name(\\\"auto\\\"), asset_class=\\\"etf\\\", only_missing=True)\\n    70|        b.success(\\n    71|            f\\\"Preisupdate: Crypto aktualisiert={crypto_result.updated_count}, warnings={crypto_result.warning_count}, errors={crypto_result.error_count}, ohne Preis={crypto_result.missing_local_price_count}; \\\"\\n    72|            f\\\"Aktien/ETF aktualisiert={stock.updated_count + etf.updated_count}, warnings={stock.warning_count + etf.warning_count}, errors={stock.error_count + etf.error_count}\\\"\\n    73|        )\\n    74|    if b.button(\\\"Crypto-Report erzeugen\\\", key=\\\"cc_crypto_report\\\"):\\n    75|        try:\\n    76|            b.spinner(\\\"Crypto-Report wird aus lokalen Daten erzeugt …\\\")\\n    77|            result = export_crypto_inventory_report(conn, settings=_report_settings(st), preferred_format=\\\"pdf\\\")\\n    78|            b.success(f\\\"Report erzeugt ({result['format']}): {result['file_path']}\\\")\\n    79|        except Exception as exc:\\n    80|            b.error(f\\\"Report konnte nicht erzeugt werden: {exc}\\\")\\n    81|    c.button(\\\"Coin hinzufügen\\\", key=\\\"cc_coin_add\\\", disabled=True, help=\\\"Bitte auf der Crypto-Seite eine Position auswählen; dort öffnet das Formular direkt.\\\")\\n    82|    d.button(\\\"Wallet öffnen\\\", key=\\\"cc_wallet_open\\\", disabled=True, help=\\\"Bitte die Wallets-Seite über die Hauptnavigation öffnen; dort ist die Auswahl direkt sichtbar.\\\")\\n    83|\\n    84|    alerts = data.get_alert_summary_cards(conn)\\n    85|    st.caption(f\\\"Hinweise zusammengefasst — Kritisch: {alerts['kritisch']} · Wichtig: {alerts['wichtig']} · Info: {alerts['info']}\\\")\\n    86|\", \"total_lines\": 85, \"file_size\": 4997, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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      "role": "tool",
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      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from jarvis_finance.dashboard.components.tables import show_table\\n     4|from jarvis_finance.dashboard import data\\n     5|\\n     6|PAGE_TITLE = \\\"Portfolio\\\"\\n     7|\\n     8|\\n     9|def _bar_chart(st, title: str, rows: list[dict[str, str]]) -> None:\\n    10|    st.markdown(f\\\"**{title}**\\\")\\n    11|    if rows:\\n    12|        st.bar_chart({r[\\\"label\\\"]: float(data.d(r[\\\"value_chf\\\"])) for r in rows})\\n    13|    else:\\n    14|        st.info(\\\"Keine Daten vorhanden.\\\")\\n    15|\\n    16|\\n    17|def render(st, conn) -> None:\\n    18|    st.title(\\\"Portfolio\\\")\\n    19|    st.caption(\\\"Gesamtüberblick nach Assetklasse und Plattform. Technische Rohdaten bleiben im Admin-Bereich.\\\")\\n    20|    summary = data.get_command_center_summary(conn)\\n    21|    c1, c2, c3, c4, c5 = st.columns(5)\\n    22|    c1.metric(\\\"Gesamtportfolio\\\", data.chf_text(summary[\\\"total_portfolio_chf\\\"]))\\n    23|    c2.metric(\\\"Crypto\\\", data.chf_text(summary[\\\"crypto_total_chf\\\"]))\\n    24|    c3.metric(\\\"Aktien/ETF\\\", data.chf_text(summary[\\\"equity_etf_total_chf\\\"]))\\n    25|    c4.metric(\\\"Cash\\\", data.chf_text(summary[\\\"cash_total_chf\\\"]))\\n    26|    c5.metric(\\\"Datenqualität\\\", data.translate_status(summary[\\\"data_quality_status\\\"]))\\n    27|\\n    28|    left, right = st.columns(2)\\n    29|    with left:\\n    30|        _bar_chart(st, \\\"Assetklassen\\\", data.get_portfolio_asset_class_chart(conn))\\n    31|    with right:\\n    32|        _bar_chart(st, \\\"Plattformen\\\", data.get_platform_value_chart(conn))\\n    33|\\n    34|    st.subheader(\\\"Aktien / ETFs\\\")\\n    35|    rows = data.get_portfolio_positions_user(conn)\\n    36|    if rows:\\n    37|        show_table(st, rows)\\n    38|    else:\\n    39|        st.info(\\\"Keine Aktien-/ETF-Positionen im User Mode vorhanden.\\\")\\n    40|\\n    41|    with st.expander(\\\"Technische Details anzeigen\\\"):\\n    42|        st.markdown(\\\"**Plattformen und Accounts**\\\")\\n    43|        show_table(st, data.get_platform_overview(conn))\\n    44|        st.markdown(\\\"**Cash-Balances**\\\")\\n    45|        show_table(st, data.get_cash_overview(conn))\\n    46|        st.markdown(\\\"**Alle Positionen / Admin**\\\")\\n    47|        show_table(st, data.get_positions(conn))\\n    48|        st.markdown(\\\"**Data Quality / Admin**\\\")\\n    49|        show_table(st, data.get_data_quality(conn))\\n    50|\", \"total_lines\": 49, \"file_size\": 1943, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_kosSy6ZlQdrSywBFUhKB0pKt"
    },
    {
      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from decimal import Decimal\\n     4|\\n     5|from jarvis_finance.dashboard.actions import action_button, edit_mode_enabled, read_only_hint\\n     6|from jarvis_finance.dashboard.components.tables import show_table\\n     7|from jarvis_finance.dashboard import data\\n     8|from jarvis_finance.equity.manage import add_equity_transaction\\n     9|from jarvis_finance.market_data.prices import equity_price_provider_by_name, refresh_market_prices\\n    10|\\n    11|PAGE_TITLE = \\\"Equities/ETFs\\\"\\n    12|\\n    13|\\n    14|def _go_to_add_position(st) -> None:\\n    15|    if hasattr(st, \\\"session_state\\\"):\\n    16|        st.session_state[\\\"jarvis_requested_page\\\"] = \\\"Position hinzufügen\\\"\\n    17|\\n    18|\\n    19|def _equity_rows(conn) -> list[dict]:\\n    20|    return [r for r in data.get_positions(conn) if str(r.get(\\\"asset_class\\\", \\\"\\\")).lower() in {\\\"stock\\\", \\\"equity\\\", \\\"etf\\\"} and data.d(r.get(\\\"quantity\\\")) != 0]\\n    21|\\n    22|\\n    23|def _asset_type(row: dict) -> str:\\n    24|    return \\\"ETF\\\" if str(row.get(\\\"asset_class\\\", \\\"\\\")).lower() == \\\"etf\\\" else \\\"Aktie\\\"\\n    25|\\n    26|\\n    27|def _status(row: dict) -> str:\\n    28|    warnings = set(str(row.get(\\\"quality_warnings\\\") or \\\"\\\").split(\\\",\\\"))\\n    29|    if not row.get(\\\"market_price_original\\\"):\\n    30|        return \\\"Preis fehlt\\\"\\n    31|    if \\\"missing_fx\\\" in warnings or row.get(\\\"fx_status\\\") == \\\"missing_fx\\\" or (row.get(\\\"price_currency\\\") not in {\\\"\\\", \\\"CHF\\\"} and not row.get(\\\"market_value_chf\\\")):\\n    32|        return \\\"FX fehlt\\\"\\n    33|    if \\\"cost_basis_uncertain\\\" in warnings or not row.get(\\\"cost_basis_chf\\\"):\\n    34|        return \\\"Einstand unvollständig\\\"\\n    35|    if row.get(\\\"market_value_chf\\\"):\\n    36|        return \\\"Bewertet\\\"\\n    37|    return \\\"Unvollständig\\\"\\n    38|\\n    39|\\n    40|def _market_value(row: dict) -> str:\\n    41|    return data.chf_text(row.get(\\\"market_value_chf\\\")) if row.get(\\\"market_value_chf\\\") else \\\"nicht bewertet\\\"\\n    42|\\n    43|\\n    44|def _price(row: dict) -> str:\\n    45|    return row.get(\\\"market_price_original\\\") or \\\"Preis fehlt\\\"\\n    46|\\n    47|\\n    48|def _table_row(row: dict) -> dict[str, str]:\\n    49|    return {\\n    50|        \\\"Name\\\": row.get(\\\"name\\\", \\\"\\\"),\\n    51|        \\\"Ticker\\\": row.get(\\\"ticker\\\", \\\"\\\"),\\n    52|        \\\"ISIN\\\": row.get(\\\"isin\\\", \\\"\\\"),\\n    53|        \\\"Depot\\\": row.get(\\\"account_name\\\", \\\"\\\"),\\n    54|        \\\"Assettyp\\\": _asset_type(row),\\n    55|        \\\"Menge\\\": row.get(\\\"quantity\\\", \\\"\\\"),\\n    56|        \\\"Kurs\\\": _price(row),\\n    57|        \\\"Kurswährung\\\": row.get(\\\"price_currency\\\") or row.get(\\\"currency\\\") or \\\"\\\",\\n    58|        \\\"Marktwert CHF\\\": _market_value(row),\\n    59|        \\\"Status\\\": _status(row),\\n    60|    }\\n    61|\\n    62|\\n    63|def _sort_key(label: str):\\n    64|    if label == \\\"Marktwert CHF absteigend\\\":\\n    65|        return lambda r: (data.d(r.get(\\\"market_value_chf\\\")), r.get(\\\"name\\\", \\\"\\\").lower())\\n    66|    if label == \\\"Name A–Z\\\":\\n    67|        return lambda r: r.get(\\\"name\\\", \\\"\\\").lower()\\n    68|    if label == \\\"Depot\\\":\\n    69|        return lambda r: (r.get(\\\"account_name\\\", \\\"\\\"), r.get(\\\"name\\\", \\\"\\\"))\\n    70|    if label == \\\"Assettyp\\\":\\n    71|        return lambda r: (_asset_type(r), r.get(\\\"name\\\", \\\"\\\"))\\n    72|    if label == \\\"Status\\\":\\n    73|        return lambda r: (_status(r), r.get(\\\"name\\\", \\\"\\\"))\\n    74|    if label == \\\"Währung\\\":\\n    75|        return lambda r: (r.get(\\\"price_currency\\\") or r.get(\\\"currency\\\") or \\\"\\\", r.get(\\\"name\\\", \\\"\\\"))\\n    76|    return lambda r: r.get(\\\"name\\\", \\\"\\\").lower()\\n    77|\\n    78|\\n    79|def _summary_cards(st, rows: list[dict]) -> None:\\n    80|    missing_price = sum(1 for r in rows if not r.get(\\\"market_price_original\\\"))\\n    81|    missing_fx = sum(1 for r in rows if _status(r) == \\\"FX fehlt\\\")\\n    82|    incomplete_cost = sum(1 for r in rows if \\\"cost_basis_uncertain\\\" in str(r.get(\\\"quality_warnings\\\") or \\\"\\\") or not r.get(\\\"cost_basis_chf\\\"))\\n    83|    values = [data.d(r.get(\\\"market_value_chf\\\")) for r in rows if r.get(\\\"market_value_chf\\\")]\\n    84|    latest_price_update = max((str(r.get(\\\"price_date\\\") or \\\"\\\") for r in rows), default=\\\"\\\") or \\\"kein Preisupdate\\\"\\n    85|    c1, c2, c3, c4, c5, c6 = st.columns(6)\\n    86|    c1.metric(\\\"Gesamtwert Aktien/ETFs CHF\\\", data.chf_text(sum(values, Decimal(\\\"0\\\"))) if values and not missing_price and not missing_fx else \\\"Bewertung unvollständig\\\")\\n    87|    c2.metric(\\\"Anzahl Positionen\\\", str(len(rows)))\\n    88|    c3.metric(\\\"Positionen ohne Preis\\\", str(missing_price))\\n    89|    c4.metric(\\\"Positionen ohne FX\\\", str(missing_fx))\\n    90|    c5.metric(\\\"Einstand unvollständig\\\", str(incomplete_cost))\\n    91|    c6.metric(\\\"Letztes Preisupdate\\\", latest_price_update)\\n    92|\\n    93|\\n    94|def _render_detail(st, conn, row: dict) -> None:\\n    95|    st.subheader(\\\"Detailpanel\\\")\\n    96|    detail = {\\n    97|        \\\"Name\\\": row.get(\\\"name\\\", \\\"\\\"),\\n    98|        \\\"ISIN\\\": row.get(\\\"isin\\\", \\\"\\\"),\\n    99|        \\\"Ticker\\\": row.get(\\\"ticker\\\", \\\"\\\"),\\n   100|        \\\"Depot\\\": row.get(\\\"account_name\\\", \\\"\\\"),\\n   101|        \\\"Assettyp\\\": _asset_type(row),\\n   102|        \\\"Menge\\\": row.get(\\\"quantity\\\", \\\"\\\"),\\n   103|        \\\"Währung\\\": row.get(\\\"currency\\\", \\\"\\\"),\\n   104|        \\\"Kurs\\\": _price(row),\\n   105|        \\\"Marktwert CHF\\\": _market_value(row),\\n   106|        \\\"Preisstatus\\\": \\\"Bewertet\\\" if row.get(\\\"market_price_original\\\") else \\\"Preis fehlt\\\",\\n   107|        \\\"FX-Status\\\": \\\"OK\\\" if _status(row) != \\\"FX fehlt\\\" else \\\"FX fehlt\\\",\\n   108|        \\\"Einstandsstatus\\\": \\\"Einstand unvollständig\\\" if \\\"cost_basis_uncertain\\\" in str(row.get(\\\"quality_warnings\\\") or \\\"\\\") or not row.get(\\\"cost_basis_chf\\\") else \\\"OK\\\",\\n   109|    }\\n   110|    st.write(detail)\\n   111|    a, b, c, d, e, f = st.columns(6)\\n   112|    if a.button(\\\"Details\\\", key=\\\"equity_action_details\\\"):\\n   113|        st.session_state[\\\"equity_active_action\\\"] = \\\"Details\\\"\\n   114|    if action_button(b, \\\"Korrigieren\\\", key=\\\"equity_action_correct\\\", edit_required=True):\\n   115|        st.session_state[\\\"equity_active_action\\\"] = \\\"Korrigieren\\\"\\n   116|    if c.button(\\\"Verlauf\\\", key=\\\"equity_action_history\\\"):\\n   117|        st.session_state[\\\"equity_active_action\\\"] = \\\"Verlauf\\\"\\n   118|    d.button(\\\"Dividende/Ausschüttung\\\", key=\\\"equity_action_dividend\\\", disabled=True, help=\\\"kommt später\\\")\\n   119|    e.button(\\\"Kaufen\\\", key=\\\"equity_action_buy\\\", disabled=True, help=\\\"kommt später\\\")\\n   120|    f.button(\\\"Verkaufen\\\", key=\\\"equity_action_sell\\\", disabled=True, help=\\\"kommt später\\\")\\n   121|    active = st.session_state.get(\\\"equity_active_action\\\", \\\"Details\\\") if hasattr(st, \\\"session_state\\\") else \\\"Details\\\"\\n   122|    if active == \\\"Korrigieren\\\":\\n   123|        if not edit_mode_enabled(st):\\n   124|            read_only_hint(st)\\n   125|            return\\n   126|        st.markdown(\\\"### Korrigieren — Inline-Formular\\\")\\n   127|        st.caption(\\\"Auditierbare manuelle Korrektur; keine Löschung, keine Admin-Suche nötig.\\\")\\n   128|        qty = st.text_input(\\\"Korrektur-Menge als Decimal\\\", key=\\\"equity_correct_qty\\\")\\n   129|        gross = st.text_input(\\\"Korrektur-Betrag original\\\", key=\\\"equity_correct_gross\\\")\\n   130|        note = st.text_area(\\\"Korrektur-Notiz Pflicht\\\", key=\\\"equity_correct_note\\\")\\n   131|        confirm = st.checkbox(\\\"Ich bestätige die Korrektur.\\\", key=\\\"equity_correct_confirm\\\")\\n   132|        if st.button(\\\"Korrektur speichern\\\", key=\\\"equity_correct_save\\\"):\\n   133|            try:\\n   134|                result = add_equity_transaction(conn, account_id=row[\\\"account_id\\\"], instrument_id=row[\\\"instrument_id\\\"], transaction_type=\\\"manual_adjustment\\\", trade_date=str(row.get(\\\"price_date\\\") or \\\"2026-01-01\\\"), quantity_text=qty, gross_amount_original_text=gross or \\\"0\\\", currency=row.get(\\\"currency\\\") or \\\"CHF\\\", note=note, confirm=confirm, fx_status=\\\"not_needed\\\" if (row.get(\\\"currency\\\") or \\\"CHF\\\") == \\\"CHF\\\" else \\\"missing\\\")\\n   135|                st.success(f\\\"Korrektur auditiert: {result.transaction_id}\\\")\\n   136|            except Exception as exc:\\n   137|                st.error(f\\\"Korrektur abgelehnt: {exc}\\\")\\n   138|    elif active == \\\"Verlauf\\\":\\n   139|        st.markdown(\\\"### Verlauf\\\")\\n   140|        tx = data.rowdicts(conn.execute(\\\"SELECT trade_date, transaction_type, quantity, currency_original, fx_status, quality_status, notes FROM transactions WHERE account_id=? AND instrument_id=? ORDER BY trade_date DESC, created_at DESC\\\", (row[\\\"account_id\\\"], row[\\\"instrument_id\\\"])).fetchall())\\n   141|        audit = data.rowdicts(conn.execute(\\\"SELECT timestamp, source, action, user_text_note, created_by FROM audit_log WHERE entity_id IN (SELECT transaction_id FROM transactions WHERE account_id=? AND instrument_id=?) ORDER BY timestamp DESC LIMIT 50\\\", (row[\\\"account_id\\\"], row[\\\"instrument_id\\\"])).fetchall())\\n   142|        show_table(st, tx, empty_message=\\\"Kein Transaktionsverlauf vorhanden.\\\")\\n   143|        show_table(st, audit, empty_message=\\\"Kein Audit-Verlauf vorhanden.\\\")\\n   144|    else:\\n   145|        st.info(\\\"Details werden oben im Detailpanel angezeigt.\\\")\\n   146|\\n   147|\\n   148|def render(st, conn) -> None:\\n   149|    st.title(\\\"Aktien & ETFs\\\")\\n   150|    st.caption(\\\"Bedienbare User-Ansicht für manuell erfasste Aktien-/ETF- und Cash-nahe Portfolio-Positionen. Keine DOCX-Review-Rohdaten im Alltag.\\\")\\n   151|    rows = _equity_rows(conn)\\n   152|    _summary_cards(st, rows)\\n   153|\\n   154|    if st.button(\\\"Bewertung aktualisieren\\\", key=\\\"equity_refresh_valuation\\\"):\\n   155|        stock = refresh_market_prices(conn, provider=equity_price_provider_by_name(\\\"auto\\\"), asset_class=\\\"stock\\\", only_missing=True)\\n   156|        etf = refresh_market_prices(conn, provider=equity_price_provider_by_name(\\\"auto\\\"), asset_class=\\\"etf\\\", only_missing=True)\\n   157|        st.success(f\\\"Bewertung aktualisiert: Aktien/ETF aktualisiert={stock.updated_count + etf.updated_count}, cached={stock.cached_count + etf.cached_count}, warnings={stock.warning_count + etf.warning_count}, errors={stock.error_count + etf.error_count}\\\")\\n   158|        rows = _equity_rows(conn)\\n   159|\\n   160|    if not rows:\\n   161|        st.info(\\\"Noch keine Aktien oder ETFs erfasst.\\\")\\n   162|        if st.button(\\\"Aktie/ETF hinzufügen\\\", key=\\\"equity_empty_add_position\\\", on_click=_go_to_add_position, args=(st,)):\\n   163|            st.success(\\\"Öffne im User Mode die Seite 'Position hinzufügen'.\\\")\\n   164|        return\\n   165|\\n   166|    sort_by = st.selectbox(\\\"Sortierung\\\", [\\\"Marktwert CHF absteigend\\\", \\\"Name A–Z\\\", \\\"Depot\\\", \\\"Assettyp\\\", \\\"Status\\\", \\\"Währung\\\"], key=\\\"equity_sort_by\\\")\\n   167|    rows = sorted(rows, key=_sort_key(sort_by), reverse=sort_by == \\\"Marktwert CHF absteigend\\\")\\n   168|    view = st.radio(\\\"Ansicht\\\", [\\\"Nach Anbieter / Depot\\\", \\\"Nach Assettyp\\\", \\\"Alle Positionen\\\"], key=\\\"equity_view\\\")\\n   169|\\n   170|    if view == \\\"Nach Anbieter / Depot\\\":\\n   171|        groups = [\\\"PostFinance\\\", \\\"Raiffeisen\\\", \\\"True Wealth\\\", \\\"Anderes Konto\\\"]\\n   172|        for group in groups:\\n   173|            group_rows = [r for r in rows if group.lower() in (r.get(\\\"platform\\\", \\\"\\\") + \\\" \\\" + r.get(\\\"account_name\\\", \\\"\\\")).lower()]\\n   174|            if group_rows:\\n   175|                st.markdown(f\\\"### {group}\\\")\\n   176|                show_table(st, [_table_row(r) for r in group_rows])\\n   177|    elif view == \\\"Nach Assettyp\\\":\\n   178|        cash_rows = data.get_cash_overview(conn)\\n   179|        if cash_rows:\\n   180|            st.markdown(\\\"### Cash\\\")\\n   181|            show_table(st, [{\\\"Name\\\": r[\\\"account_name\\\"], \\\"Depot\\\": r[\\\"platform\\\"], \\\"Assettyp\\\": \\\"Cash\\\", \\\"Menge\\\": r[\\\"amount_original\\\"], \\\"Kurswährung\\\": r[\\\"currency\\\"], \\\"Marktwert CHF\\\": data.chf_text(r[\\\"amount_chf\\\"]) if r.get(\\\"amount_chf\\\") else \\\"Bewertung unvollständig\\\", \\\"Status\\\": data.translate_status(r.get(\\\"quality_status\\\"))} for r in cash_rows])\\n   182|        for label in [\\\"Aktie\\\", \\\"ETF\\\"]:\\n   183|            group_rows = [r for r in rows if _asset_type(r) == label]\\n   184|            if group_rows:\\n   185|                st.markdown(f\\\"### {label if label == 'Aktie' else 'ETFs'}\\\")\\n   186|                show_table(st, [_table_row(r) for r in group_rows])\\n   187|    else:\\n   188|        st.markdown(\\\"### Alle Positionen\\\")\\n   189|        show_table(st, [_table_row(r) for r in rows])\\n   190|\\n   191|    st.subheader(\\\"Position auswählen\\\")\\n   192|    labels = [f\\\"{r.get('name')} | {r.get('ticker') or 'Ticker fehlt'} | {r.get('account_name')}\\\" for r in rows]\\n   193|    selected_label = st.selectbox(\\\"Position auswählen\\\", labels, key=\\\"equity_selected_position\\\")\\n   194|    selected = rows[labels.index(selected_label)] if selected_label in labels else rows[0]\\n   195|    _render_detail(st, conn, selected)\\n   196|\\n   197|    st.subheader(\\\"Weitere Aktion\\\")\\n   198|    if st.button(\\\"Aktie/ETF hinzufügen\\\", key=\\\"equity_add_position\\\", on_click=_go_to_add_position, args=(st,)):\\n   199|        st.success(\\\"Öffne im User Mode die Seite 'Position hinzufügen'.\\\")\\n   200|\", \"total_lines\": 199, \"file_size\": 11237, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from jarvis_finance.dashboard import data as dashboard_data\\n     4|from jarvis_finance.dashboard.views import page_03_equities_etfs, page_09_alerts\\n     5|from jarvis_finance.dashboard.main import get_admin_navigation_titles, get_user_navigation_titles\\n     6|from jarvis_finance.equity.cleanup import apply_review_test_equity_cleanup, identify_review_test_equity_artifacts\\n     7|from jarvis_finance.equity.manage import add_manual_position_from_catalog, create_manual_catalog_entry, ensure_standard_broker_accounts\\n     8|from jarvis_finance.storage.database import connect_memory\\n     9|from jarvis_finance.storage.migrations import apply_migrations\\n    10|from test_dashboard_mvp_regressions import setup_equity_conn\\n    11|from test_dashboard_ux_sprint2 import FakeStreamlit, setup_multi_wallet_crypto_conn\\n    12|\\n    13|\\n    14|class DuplicateKeyGuardStreamlit(FakeStreamlit):\\n    15|    def __init__(self, *args, **kwargs) -> None:\\n    16|        super().__init__(*args, **kwargs)\\n    17|        self.seen_button_keys: set[str] = set()\\n    18|\\n    19|    def __getattr__(self, name: str):\\n    20|        base = super().__getattr__(name)\\n    21|\\n    22|        def recorder(*args, **kwargs):\\n    23|            if name == \\\"button\\\":\\n    24|                key = kwargs.get(\\\"key\\\")\\n    25|                if key:\\n    26|                    assert str(key) not in self.seen_button_keys, f\\\"duplicate Streamlit button key: {key}\\\"\\n    27|                    self.seen_button_keys.add(str(key))\\n    28|            return base(*args, **kwargs)\\n    29|\\n    30|        return recorder\\n    31|\\n    32|\\n    33|def _visible_text(st: FakeStreamlit) -> str:\\n    34|    parts: list[str] = []\\n    35|    for _name, args, kwargs in st.calls:\\n    36|        parts.extend(str(arg) for arg in args)\\n    37|        parts.extend(str(value) for value in kwargs.values())\\n    38|    return \\\"\\\\n\\\".join(parts)\\n    39|\\n    40|\\n    41|def test_user_navigation_is_short_and_admin_keeps_review_tools() -> None:\\n    42|    user = get_user_navigation_titles()\\n    43|    admin = get_admin_navigation_titles()\\n    44|\\n    45|    assert user == [\\\"Command Center\\\", \\\"Crypto\\\", \\\"Wallets\\\", \\\"Aktien & ETFs\\\", \\\"Position hinzufügen\\\", \\\"Reports\\\"]\\n    46|    assert \\\"Manual Review Queue\\\" not in user\\n    47|    assert \\\"Equity/ETF Manage\\\" not in user\\n    48|    assert \\\"Manual Review Queue\\\" in admin\\n    49|    assert \\\"Alerts\\\" in admin\\n    50|\\n    51|\\n    52|def test_alert_page_uses_unique_button_keys_and_hides_admin_table_in_user_mode() -> None:\\n    53|    conn = connect_memory()\\n    54|    apply_migrations(conn)\\n    55|    for idx in range(2):\\n    56|        conn.execute(\\n    57|            \\\"\\\"\\\"\\n    58|            INSERT INTO alerts(alert_id, priority, status, category, entity_type, entity_id, rule_id, message, occurrence_count, last_seen_at, created_at)\\n    59|            VALUES (?, 'warnung', 'active', 'test', 'instrument', ?, 'missing_market_price', 'synthetic message', 1, '2026-01-01T00:00:00Z', '2026-01-01T00:00:00Z')\\n    60|            \\\"\\\"\\\",\\n    61|            (f\\\"alert-{idx}\\\", f\\\"instrument-{idx}\\\"),\\n    62|        )\\n    63|    conn.commit()\\n    64|    st = DuplicateKeyGuardStreamlit()\\n    65|\\n    66|    page_09_alerts.render(st, conn)\\n    67|\\n    68|    assert {\\\"alert_alert-0_prüfen\\\", \\\"alert_alert-1_prüfen\\\"} <= st.seen_button_keys\\n    69|    assert \\\"Admin: technische Alert-Tabelle anzeigen\\\" not in _visible_text(st)\\n    70|\\n    71|\\n    72|def test_review_docx_equity_cleanup_preserves_manual_dashboard_positions() -> None:\\n    73|    conn, account_id, manual_catalog_id = setup_equity_conn()\\n    74|    add_manual_position_from_catalog(\\n    75|        conn,\\n    76|        catalog_entry_id=manual_catalog_id,\\n    77|        account_id=account_id,\\n    78|        position_type=\\\"initial_snapshot\\\",\\n    79|        quantity_text=\\\"1\\\",\\n    80|        trade_date=\\\"2026-01-15\\\",\\n    81|        currency=\\\"USD\\\",\\n    82|        cost_basis_original_text=\\\"100\\\",\\n    83|        fx_status=\\\"missing\\\",\\n    84|        note=\\\"real manual dashboard position\\\",\\n    85|        confirm=True,\\n    86|    )\\n    87|    review_catalog_id = create_manual_catalog_entry(\\n    88|        conn,\\n    89|        asset_class=\\\"stock\\\",\\n    90|        name=\\\"DOCX Review Test AG\\\",\\n    91|        currency=\\\"CHF\\\",\\n    92|        isin=\\\"CH0000000009\\\",\\n    93|        ticker=\\\"DOCXT\\\",\\n    94|        exchange=\\\"SIX\\\",\\n    95|        provider=\\\"manual\\\",\\n    96|        provider_symbol=\\\"DOCXT\\\",\\n    97|        note=\\\"docx review synthetic artifact\\\",\\n    98|    )\\n    99|    review_result = add_manual_position_from_catalog(\\n   100|        conn,\\n   101|        catalog_entry_id=review_catalog_id,\\n   102|        account_id=account_id,\\n   103|        position_type=\\\"initial_snapshot\\\",\\n   104|        quantity_text=\\\"5\\\",\\n   105|        trade_date=\\\"2026-01-15\\\",\\n   106|        currency=\\\"CHF\\\",\\n   107|        cost_basis_original_text=\\\"50\\\",\\n   108|        note=\\\"docx review synthetic artifact\\\",\\n   109|        confirm=True,\\n   110|    )\\n   111|    conn.execute(\\n   112|        \\\"UPDATE transactions SET source_type='broker_import_reviewed_snapshot', notes='docx review synthetic artifact' WHERE transaction_id=?\\\",\\n   113|        (review_result.transaction_id,),\\n   114|    )\\n   115|    conn.commit()\\n   116|\\n   117|    plan = identify_review_test_equity_artifacts(conn)\\n   118|    assert len(plan.transaction_ids) == 1\\n   119|    assert plan.manual_position_count == 1\\n   120|    audit_id = apply_review_test_equity_cleanup(conn, plan=plan, note=\\\"test cleanup\\\")\\n   121|\\n   122|    assert audit_id\\n   123|    active_manual = conn.execute(\\\"SELECT COUNT(*) AS c FROM transactions WHERE source_type='manual_dashboard' AND COALESCE(is_voided,0)=0\\\").fetchone()[\\\"c\\\"]\\n   124|    voided_review = conn.execute(\\\"SELECT COUNT(*) AS c FROM transactions WHERE source_type='broker_import_reviewed_snapshot' AND COALESCE(is_voided,0)=1\\\").fetchone()[\\\"c\\\"]\\n   125|    assert active_manual == 1\\n   126|    assert voided_review == 1\\n   127|\\n   128|\\n   129|def test_equity_page_renders_user_summary_selection_actions_and_no_raw_ids() -> None:\\n   130|    conn, account_id, catalog_id = setup_equity_conn()\\n   131|    add_manual_position_from_catalog(\\n   132|        conn,\\n   133|        catalog_entry_id=catalog_id,\\n   134|        account_id=account_id,\\n   135|        position_type=\\\"initial_snapshot\\\",\\n   136|        quantity_text=\\\"2\\\",\\n   137|        trade_date=\\\"2026-01-15\\\",\\n   138|        currency=\\\"USD\\\",\\n   139|        cost_basis_original_text=\\\"100\\\",\\n   140|        fx_status=\\\"missing\\\",\\n   141|        note=\\\"synthetic equity interaction\\\",\\n   142|        confirm=True,\\n   143|    )\\n   144|    st = FakeStreamlit(inputs={\\\"equity_view\\\": \\\"Alle Positionen\\\", \\\"equity_sort_by\\\": \\\"Name A–Z\\\"})\\n   145|\\n   146|    page_03_equities_etfs.render(st, conn)\\n   147|\\n   148|    text = _visible_text(st)\\n   149|    for expected in [\\\"Gesamtwert Aktien/ETFs CHF\\\", \\\"Position auswählen\\\", \\\"Detailpanel\\\", \\\"Korrigieren\\\", \\\"Verlauf\\\", \\\"Aktie/ETF hinzufügen\\\"]:\\n   150|        assert expected in text\\n   151|    assert \\\"instrument_id\\\" not in text\\n   152|    assert \\\"account_id\\\" not in text\\n   153|\\n   154|\\n   155|def test_crypto_detail_contains_minimal_coingecko_link_without_raw_ids() -> None:\\n   156|    conn = setup_multi_wallet_crypto_conn()\\n   157|    eth = next(row for row in dashboard_data.get_crypto_coin_summary(conn) if row[\\\"symbol\\\"] == \\\"ETH\\\")\\n   158|\\n   159|    detail = dashboard_data.get_crypto_coin_detail(conn, eth[\\\"_asset_id\\\"], price_max_age_seconds=999999999)\\n   160|\\n   161|    assert detail[\\\"coingecko_link\\\"] == \\\"https://www.coingecko.com/en/coins/ethereum\\\"\\n   162|    assert \\\"coingecko_id\\\" not in detail\\n   163|    assert \\\"asset_id\\\" not in detail\\n   164|\\n   165|    from jarvis_finance.dashboard.views import page_04_crypto\\n   166|\\n   167|    st = FakeStreamlit()\\n   168|    page_04_crypto.render(st, conn)\\n   169|    text = _visible_text(st)\\n   170|    assert \\\"CoinGecko öffnen\\\" in text\\n   171|    assert \\\"https://www.coingecko.com/en/coins/ethereum\\\" in text\\n   172|\\n   173|\\n   174|def test_equity_page_does_not_refresh_prices_on_plain_render(monkeypatch) -> None:\\n   175|    conn, account_id, catalog_id = setup_equity_conn()\\n   176|    add_manual_position_from_catalog(\\n   177|        conn,\\n   178|        catalog_entry_id=catalog_id,\\n   179|        account_id=account_id,\\n   180|        position_type=\\\"initial_snapshot\\\",\\n   181|        quantity_text=\\\"1\\\",\\n   182|        trade_date=\\\"2026-01-15\\\",\\n   183|        currency=\\\"USD\\\",\\n   184|        cost_basis_original_text=\\\"100\\\",\\n   185|        fx_status=\\\"missing\\\",\\n   186|        note=\\\"plain render should not call provider\\\",\\n   187|        confirm=True,\\n   188|    )\\n   189|\\n   190|    def fail_provider(*_args, **_kwargs):\\n   191|        raise AssertionError(\\\"provider must not be called during normal page render\\\")\\n   192|\\n   193|    monkeypatch.setattr(page_03_equities_etfs, \\\"equity_price_provider_by_name\\\", fail_provider)\\n   194|    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      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from decimal import Decimal\\n     4|\\n     5|from jarvis_finance.crypto.assets import create_crypto_asset\\n     6|from jarvis_finance.crypto.holdings import create_initial_holding_snapshot\\n     7|from jarvis_finance.crypto.wallets import create_wallet\\n     8|from jarvis_finance.dashboard import data as dashboard_data\\n     9|from jarvis_finance.dashboard.demo_data import load_synthetic_demo_data\\n    10|from jarvis_finance.dashboard.pages import page_12_crypto_manage\\n    11|from jarvis_finance.market.providers import PriceQuote, store_crypto_price\\n    12|from jarvis_finance.storage.database import connect_memory\\n    13|from jarvis_finance.storage.migrations import apply_migrations\\n    14|\\n    15|\\n    16|class FakeStreamlit:\\n    17|    def __init__(self, button_presses: set[str] | None = None, *, inputs: dict[str, object] | None = None, checkboxes: set[str] | None = None) -> None:\\n    18|        self.calls: list[tuple[str, tuple[object, ...], dict[str, object]]] = []\\n    19|        self.sidebar = self\\n    20|        self.session_state = {}\\n    21|        self.button_presses = button_presses or set()\\n    22|        self.inputs = inputs or {}\\n    23|        self.checkboxes = checkboxes or set()\\n    24|\\n    25|    def __getattr__(self, name: str):\\n    26|        def recorder(*args, **kwargs):\\n    27|            self.calls.append((name, args, kwargs))\\n    28|            if name == \\\"button\\\":\\n    29|                label = str(args[0]) if args else str(kwargs.get(\\\"label\\\", \\\"\\\"))\\n    30|                pressed = label in self.button_presses and not bool(kwargs.get(\\\"disabled\\\", False))\\n    31|                if pressed and callable(kwargs.get(\\\"on_click\\\")):\\n    32|                    kwargs[\\\"on_click\\\"](*kwargs.get(\\\"args\\\", ()), **kwargs.get(\\\"kwargs\\\", {}))\\n    33|                return pressed\\n    34|            if name == \\\"checkbox\\\":\\n    35|                label = str(args[0]) if args else str(kwargs.get(\\\"label\\\", \\\"\\\"))\\n    36|                key = str(kwargs.get(\\\"key\\\", label))\\n    37|                return bool(self.inputs.get(key, label in self.checkboxes))\\n    38|            if name == \\\"toggle\\\":\\n    39|                return bool(kwargs.get(\\\"value\\\", False))\\n    40|            if name in {\\\"text_input\\\", \\\"text_area\\\", \\\"date_input\\\"}:\\n    41|                key = str(kwargs.get(\\\"key\\\", args[0] if args else \\\"\\\"))\\n    42|                if key in self.inputs:\\n    43|                    return self.inputs[key]\\n    44|                return \\\"\\\"\\n    45|            if name in {\\\"selectbox\\\", \\\"radio\\\", \\\"pills\\\"}:\\n    46|                options = args[1] if len(args) > 1 else kwargs.get(\\\"options\\\", [])\\n    47|                key = str(kwargs.get(\\\"key\\\", args[0] if args else \\\"\\\"))\\n    48|                if key in self.inputs:\\n    49|                    return self.inputs[key]\\n    50|                return list(options)[0] if options else None\\n    51|            if name in {\\\"tabs\\\", \\\"columns\\\"}:\\n    52|                values = args[0] if args else []\\n    53|                count = values if isinstance(values, int) else len(values)\\n    54|                return [self for _ in range(count)]\\n    55|            if name == \\\"expander\\\":\\n    56|                return self\\n    57|            return None\\n    58|        return recorder\\n    59|\\n    60|    def __enter__(self):\\n    61|        return self\\n    62|\\n    63|    def __exit__(self, *args):\\n    64|        return False\\n    65|\\n    66|\\n    67|def setup_demo_conn():\\n    68|    conn = connect_memory()\\n    69|    apply_migrations(conn)\\n    70|    load_synthetic_demo_data(conn)\\n    71|    return conn\\n    72|\\n    73|\\n    74|def setup_multi_wallet_crypto_conn():\\n    75|    conn = connect_memory()\\n    76|    apply_migrations(conn)\\n    77|    w1 = create_wallet(conn, wallet_name=\\\"MetaMask Demo\\\", wallet_type=\\\"Software Wallet\\\", platform_provider=\\\"MetaMask\\\", last_verified_at=\\\"2026-01-31T10:00:00Z\\\")\\n    78|    w2 = create_wallet(conn, wallet_name=\\\"SwissBorg Demo\\\", wallet_type=\\\"Exchange\\\", platform_provider=\\\"SwissBorg\\\", last_verified_at=\\\"2026-01-31T11:00:00Z\\\")\\n    79|    eth = create_crypto_asset(conn, coin_name=\\\"Ethereum\\\", symbol=\\\"ETH\\\", coingecko_id=\\\"ethereum\\\")\\n    80|    btc = create_crypto_asset(conn, coin_name=\\\"Bitcoin\\\", symbol=\\\"BTC\\\", coingecko_id=\\\"bitcoin\\\")\\n    81|    create_initial_holding_snapshot(conn, asset_id=eth, wallet_id=w1, quantity=Decimal(\\\"2\\\"), verification_status=\\\"verified\\\", last_verified_at=\\\"2026-01-31T10:00:00Z\\\", note=\\\"synthetic eth split\\\")\\n    82|    create_initial_holding_snapshot(conn, asset_id=eth, wallet_id=w2, quantity=Decimal(\\\"2\\\"), verification_status=\\\"verified\\\", last_verified_at=\\\"2026-01-31T11:00:00Z\\\", note=\\\"synthetic eth split\\\")\\n    83|    create_initial_holding_snapshot(conn, asset_id=btc, wallet_id=w1, quantity=Decimal(\\\"0.00000001\\\"), verification_status=\\\"stale\\\", last_verified_at=\\\"2026-01-01T00:00:00Z\\\", note=\\\"synthetic btc tiny\\\")\\n    84|    store_crypto_price(conn, asset_id=eth, quote=PriceQuote(\\\"ethereum\\\", \\\"CHF\\\", Decimal(\\\"2500.00\\\"), provider=\\\"synthetic-cache\\\", provider_timestamp=\\\"2026-02-01T00:00:00Z\\\"))\\n    85|    store_crypto_price(conn, asset_id=btc, quote=PriceQuote(\\\"bitcoin\\\", \\\"CHF\\\", Decimal(\\\"40000.00\\\"), provider=\\\"synthetic-cache\\\", provider_timestamp=\\\"2026-02-01T00:00:00Z\\\"))\\n    86|    return conn\\n    87|\\n    88|TECHNICAL_FIELDS = {\\n    89|    \\\"asset_id\\\",\\n    90|    \\\"wallet_id\\\",\\n    91|    \\\"instrument_id\\\",\\n    92|    \\\"account_id\\\",\\n    93|    \\\"entity_id\\\",\\n    94|    \\\"rule_id\\\",\\n    95|    \\\"source_id\\\",\\n    96|    \\\"provider_symbol_status\\\",\\n    97|    \\\"hedge_status\\\",\\n    98|    \\\"dedup_key\\\",\\n    99|    \\\"fingerprint\\\",\\n   100|}\\n   101|\\n   102|\\n   103|def test_user_mode_crypto_and_portfolio_tables_are_clean_and_formatted() -> None:\\n   104|    conn = setup_multi_wallet_crypto_conn()\\n   105|    crypto_rows = dashboard_data.get_crypto_coin_summary(conn)\\n   106|    assert crypto_rows\\n   107|    visible_crypto = dashboard_data.visible_user_columns(crypto_rows[0])\\n   108|    assert len(visible_crypto) <= 8\\n   109|    assert TECHNICAL_FIELDS.isdisjoint(visible_crypto)\\n   110|    assert crypto_rows[0][\\\"kurs_chf\\\"].startswith(\\\"CHF \\\")\\n   111|    assert \\\"'\\\" in dashboard_data.chf_text(Decimal(\\\"12345.67\\\"))\\n   112|    assert dashboard_data.translate_status(\\\"missing_market_price\\\") == \\\"Preis fehlt\\\"\\n   113|    assert dashboard_data.translate_status(\\\"fresh\\\") == \\\"Aktuell\\\"\\n   114|\\n   115|    portfolio = dashboard_data.get_portfolio_positions_user(conn)\\n   116|    assert portfolio == [] or TECHNICAL_FIELDS.isdisjoint(portfolio[0])\\n   117|    assert all(len(row) <= 8 for row in portfolio)\\n   118|\\n   119|\\n   120|def test_chart_data_for_crypto_coin_and_wallet_distribution_is_correct() -> None:\\n   121|    conn = setup_multi_wallet_crypto_conn()\\n   122|    coin_chart = dashboard_data.get_crypto_coin_allocation_chart(conn)\\n   123|    wallet_chart = dashboard_data.get_crypto_wallet_allocation_chart(conn)\\n   124|    assert [row[\\\"label\\\"] for row in coin_chart][:2] == [\\\"Ethereum\\\", \\\"Bitcoin\\\"]\\n   125|    assert coin_chart[0][\\\"value_chf\\\"] == \\\"10000.00\\\"\\n   126|    assert {row[\\\"label\\\"] for row in wallet_chart} == {\\\"MetaMask Demo\\\", \\\"SwissBorg Demo\\\"}\\n   127|    assert all(\\\"asset_id\\\" not in row and \\\"wallet_id\\\" not in row for row in coin_chart + wallet_chart)\\n   128|\\n   129|\\n   130|def test_coin_detail_and_wallet_detail_are_selectable_read_models() -> None:\\n   131|    conn = setup_multi_wallet_crypto_conn()\\n   132|    eth = next(row for row in dashboard_data.get_crypto_coin_summary(conn) if row[\\\"symbol\\\"] == \\\"ETH\\\")\\n   133|    detail = dashboard_data.get_crypto_coin_detail(conn, eth[\\\"_asset_id\\\"], price_max_age_seconds=999999999)\\n   134|    assert detail[\\\"coin\\\"] == \\\"Ethereum\\\"\\n   135|    assert detail[\\\"gesamtwert_chf\\\"] == \\\"CHF 10'000.00\\\"\\n   136|    assert detail[\\\"preisstatus\\\"] == \\\"Aktuell\\\"\\n   137|    assert len(detail[\\\"wallets\\\"]) == 2\\n   138|    assert {\\\"Bestand hinzufügen\\\", \\\"Bestand korrigieren\\\", \\\"Transfer\\\", \\\"Bestand auf 0 setzen\\\", \\\"Audit / Verlauf anzeigen\\\"} <= set(detail[\\\"actions\\\"])\\n   139|    assert TECHNICAL_FIELDS.isdisjoint(detail)\\n   140|    assert TECHNICAL_FIELDS.isdisjoint(detail[\\\"wallets\\\"][0])\\n   141|\\n   142|    wallet = dashboard_data.get_wallet_user_overview(conn)[0]\\n   143|    wallet_detail = dashboard_data.get_wallet_detail(conn, wallet[\\\"_wallet_id\\\"])\\n   144|    assert wallet_detail[\\\"wallet_name\\\"]\\n   145|    assert wallet_detail[\\\"coins\\\"]\\n   146|    assert {\\\"Coin in Wallet hinzufügen\\\", \\\"Bestand korrigieren\\\", \\\"Transfer aus Wallet\\\", \\\"Wallet verifizieren\\\", \\\"Wallet bearbeiten\\\", \\\"Wallet deaktivieren\\\"} <= set(wallet_detail[\\\"actions\\\"])\\n   147|    assert TECHNICAL_FIELDS.isdisjoint(wallet_detail)\\n   148|\\n   149|\\n   150|def test_alert_cards_are_readable_and_do_not_expose_rule_ids() -> None:\\n   151|    conn = setup_demo_conn()\\n   152|    cards = dashboard_data.get_alert_cards(conn, limit=5)\\n   153|    summary = dashboard_data.get_alert_summary_cards(conn)\\n   154|    assert {\\\"kritisch\\\", \\\"wichtig\\\", \\\"info\\\"} <= set(summary)\\n   155|    assert cards\\n   156|    assert {\\\"title\\\", \\\"description\\\", \\\"affected\\\", \\\"severity\\\", \\\"actions\\\"} <= set(cards[0])\\n   157|    assert TECHNICAL_FIELDS.isdisjoint(cards[0])\\n   158|    assert not cards[0][\\\"title\\\"].startswith(\\\"missing_\\\")\\n   159|\\n   160|\\n   161|def test_crypto_manage_renders_action_cards_not_all_forms_by_default() -> None:\\n   162|    conn = setup_multi_wallet_crypto_conn()\\n   163|    st = FakeStreamlit()\\n   164|    page_12_crypto_manage.render(st, conn)\\n   165|    buttons = [args[0] for name, args, _kwargs in st.calls if name == \\\"button\\\" and args]\\n   166|    text_inputs = [args[0] for name, args, _kwargs in st.calls if name == \\\"text_input\\\" and args]\\n   167|    assert {\\\"Coin hinzufügen\\\", \\\"Bestand korrigieren\\\", \\\"Transfer zwischen Wallets\\\", \\\"Bestand entfernen / auf 0 setzen\\\", \\\"Neues Wallet\\\", \\\"Verlauf ansehen\\\"} <= set(buttons)\\n   168|    assert len(text_inputs) <= 3\\n   169|\\n   170|\\n   171|def test_admin_mode_can_still_access_technical_fields() -> None:\\n   172|    conn = setup_multi_wallet_crypto_conn()\\n   173|    assert \\\"asset_id\\\" in dashboard_data.get_crypto_coin_summary(conn, admin_mode=True)[0]\\n   174|    assert \\\"wallet_id\\\" in dashboard_data.get_wallet_user_overview(conn, admin_mode=True)[0]\\n   175|\", \"total_lines\": 174, \"file_size\": 8926, \"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\\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 utc_now\\n     8|\\n     9|REVIEW_TOKENS = (\\\"review\\\", \\\"docx\\\", \\\"test\\\", \\\"demo\\\", \\\"synthetic\\\", \\\"dryrun\\\", \\\"dry run\\\", \\\"wizard-test\\\", \\\"wizard test\\\")\\n    10|REVIEW_SOURCE_TYPES = (\\\"broker_import_reviewed_snapshot\\\", \\\"broker_import_dry_run\\\", \\\"docx_import\\\", \\\"wizard_test\\\", \\\"test\\\", \\\"demo\\\", \\\"synthetic\\\", \\\"dryrun\\\")\\n    11|\\n    12|\\n    13|@dataclass(frozen=True)\\n    14|class CleanupPlan:\\n    15|    account_ids: list[str]\\n    16|    instrument_ids: list[str]\\n    17|    transaction_ids: list[str]\\n    18|    alert_ids: list[str]\\n    19|    manual_position_count: int\\n    20|\\n    21|    @property\\n    22|    def artifact_count(self) -> int:\\n    23|        return len(self.account_ids) + len(self.instrument_ids) + len(self.transaction_ids)\\n    24|\\n    25|\\n    26|def _token_sql(alias: str, columns: list[str]) -> str:\\n    27|    parts = []\\n    28|    for col in columns:\\n    29|        for token in REVIEW_TOKENS:\\n    30|            parts.append(f\\\"lower(coalesce({alias}.{col},'')) LIKE '%{token}%'\\\")\\n    31|    return \\\" OR \\\".join(parts) or \\\"0\\\"\\n    32|\\n    33|\\n    34|def identify_review_test_equity_artifacts(conn: Connection) -> CleanupPlan:\\n    35|    \\\"\\\"\\\"Find clearly non-manual review/test/DOCX equity artifacts without exposing values.\\n    36|\\n    37|    Conservative by design: manual_dashboard/manual_position_add data is excluded unless the\\n    38|    account itself is clearly a review/test account. Crypto tables are never touched.\\n    39|    \\\"\\\"\\\"\\n    40|    account_where = _token_sql(\\\"a\\\", [\\\"account_name\\\", \\\"notes\\\"])\\n    41|    platform_where = _token_sql(\\\"p\\\", [\\\"name\\\", \\\"notes\\\"])\\n    42|    account_rows = conn.execute(\\n    43|        f\\\"\\\"\\\"\\n    44|        SELECT DISTINCT a.account_id\\n    45|        FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id\\n    46|        WHERE ({account_where} OR {platform_where})\\n    47|          AND EXISTS (\\n    48|              SELECT 1 FROM transactions t JOIN instruments i ON i.instrument_id=t.instrument_id\\n    49|              WHERE t.account_id=a.account_id AND lower(i.asset_class) IN ('stock','equity','etf')\\n    50|          )\\n    51|        \\\"\\\"\\\"\\n    52|    ).fetchall()\\n    53|    account_ids = sorted({row[\\\"account_id\\\"] for row in account_rows})\\n    54|\\n    55|    source_placeholders = \\\",\\\".join(\\\"?\\\" for _ in REVIEW_SOURCE_TYPES)\\n    56|    tx_rows = conn.execute(\\n    57|        f\\\"\\\"\\\"\\n    58|        SELECT DISTINCT t.transaction_id\\n    59|        FROM transactions t\\n    60|        JOIN instruments i ON i.instrument_id=t.instrument_id\\n    61|        LEFT JOIN accounts a ON a.account_id=t.account_id\\n    62|        WHERE lower(i.asset_class) IN ('stock','equity','etf')\\n    63|          AND coalesce(t.is_voided,0)=0\\n    64|          AND (\\n    65|              t.source_type IN ({source_placeholders})\\n    66|              OR lower(coalesce(t.source_type,'')) LIKE '%review%'\\n    67|              OR lower(coalesce(t.source_id,'')) LIKE '%review%'\\n    68|              OR lower(coalesce(t.notes,'')) LIKE '%review%'\\n    69|              OR lower(coalesce(t.notes,'')) LIKE '%docx%'\\n    70|              OR lower(coalesce(t.notes,'')) LIKE '%synthetic%'\\n    71|              OR lower(coalesce(t.notes,'')) LIKE '%demo%'\\n    72|              OR lower(coalesce(t.notes,'')) LIKE '%test%'\\n    73|              OR a.account_id IN ({','.join('?' for _ in account_ids) if account_ids else \\\"''\\\"})\\n    74|          )\\n    75|          AND t.source_type NOT IN ('manual_dashboard')\\n    76|        \\\"\\\"\\\",\\n    77|        (*REVIEW_SOURCE_TYPES, *account_ids),\\n    78|    ).fetchall()\\n    79|    transaction_ids = sorted({row[\\\"transaction_id\\\"] for row in tx_rows})\\n    80|\\n    81|    # Instruments are removable only when all their open equity transactions are in the cleanup set.\\n    82|    if transaction_ids:\\n    83|        tx_ph = \\\",\\\".join(\\\"?\\\" for _ in transaction_ids)\\n    84|        instrument_rows = conn.execute(\\n    85|            f\\\"\\\"\\\"\\n    86|            SELECT i.instrument_id\\n    87|            FROM instruments i\\n    88|            WHERE lower(i.asset_class) IN ('stock','equity','etf')\\n    89|              AND EXISTS (SELECT 1 FROM transactions t WHERE t.instrument_id=i.instrument_id AND t.transaction_id IN ({tx_ph}))\\n    90|              AND NOT EXISTS (\\n    91|                  SELECT 1 FROM transactions t\\n    92|                  WHERE t.instrument_id=i.instrument_id\\n    93|                    AND coalesce(t.is_voided,0)=0\\n    94|                    AND t.transaction_id NOT IN ({tx_ph})\\n    95|              )\\n    96|            \\\"\\\"\\\",\\n    97|            (*transaction_ids, *transaction_ids),\\n    98|        ).fetchall()\\n    99|        instrument_ids = sorted({row[\\\"instrument_id\\\"] for row in instrument_rows})\\n   100|    else:\\n   101|        instrument_ids = []\\n   102|\\n   103|    # Deactivate cleanup accounts only when no non-cleanup active transactions remain.\\n   104|    removable_accounts: list[str] = []\\n   105|    for account_id in account_ids:\\n   106|        remaining = conn.execute(\\n   107|            f\\\"\\\"\\\"\\n   108|            SELECT COUNT(*) AS c FROM transactions\\n   109|            WHERE account_id=? AND coalesce(is_voided,0)=0\\n   110|              {'AND transaction_id NOT IN (' + ','.join('?' for _ in transaction_ids) + ')' if transaction_ids else ''}\\n   111|            \\\"\\\"\\\",\\n   112|            (account_id, *transaction_ids),\\n   113|        ).fetchone()[\\\"c\\\"]\\n   114|        if int(remaining or 0) == 0:\\n   115|            removable_accounts.append(account_id)\\n   116|\\n   117|    if instrument_ids:\\n   118|        inst_ph = \\\",\\\".join(\\\"?\\\" for _ in instrument_ids)\\n   119|        alert_rows = conn.execute(f\\\"SELECT alert_id FROM alerts WHERE entity_id IN ({inst_ph})\\\", tuple(instrument_ids)).fetchall()\\n   120|        alert_ids = sorted({row[\\\"alert_id\\\"] for row in alert_rows})\\n   121|    else:\\n   122|        alert_ids = []\\n   123|\\n   124|    manual_position_count = int(conn.execute(\\n   125|        \\\"\\\"\\\"\\n   126|        SELECT COUNT(*) AS c\\n   127|        FROM transactions t JOIN instruments i ON i.instrument_id=t.instrument_id\\n   128|        WHERE lower(i.asset_class) IN ('stock','equity','etf')\\n   129|          AND coalesce(t.is_voided,0)=0\\n   130|          AND t.source_type='manual_dashboard'\\n   131|        \\\"\\\"\\\"\\n   132|    ).fetchone()[\\\"c\\\"] or 0)\\n   133|    return CleanupPlan(removable_accounts, instrument_ids, transaction_ids, alert_ids, manual_position_count)\\n   134|\\n   135|\\n   136|def apply_review_test_equity_cleanup(conn: Connection, *, plan: CleanupPlan | None = None, note: str = \\\"MVP Real UI Acceptance cleanup\\\") -> str:\\n   137|    plan = plan or identify_review_test_equity_artifacts(conn)\\n   138|    now = utc_now()\\n   139|    if plan.transaction_ids:\\n   140|        ph = \\\",\\\".join(\\\"?\\\" for _ in plan.transaction_ids)\\n   141|        conn.execute(\\n   142|            f\\\"UPDATE transactions SET is_voided=1, voided_at=?, void_reason=?, voided_by='dashboard_cleanup', updated_at=? WHERE transaction_id IN ({ph})\\\",\\n   143|            (now, note, now, *plan.transaction_ids),\\n   144|        )\\n   145|    if plan.alert_ids:\\n   146|        ph = \\\",\\\".join(\\\"?\\\" for _ in plan.alert_ids)\\n   147|        conn.execute(\\n   148|            f\\\"UPDATE alerts SET status='resolved', resolved_at=? WHERE alert_id IN ({ph})\\\",\\n   149|            (now, *plan.alert_ids),\\n   150|        )\\n   151|    if plan.instrument_ids:\\n   152|        ph = \\\",\\\".join(\\\"?\\\" for _ in plan.instrument_ids)\\n   153|        conn.execute(f\\\"UPDATE instruments SET is_active=0, updated_at=? WHERE instrument_id IN ({ph})\\\", (now, *plan.instrument_ids))\\n   154|    if plan.account_ids:\\n   155|        ph = \\\",\\\".join(\\\"?\\\" for _ in plan.account_ids)\\n   156|        conn.execute(f\\\"UPDATE accounts SET is_active=0, updated_at=? WHERE account_id IN ({ph})\\\", (now, *plan.account_ids))\\n   157|    audit_id = record_audit_event(\\n   158|        conn,\\n   159|        source=\\\"runtime_cleanup\\\",\\n   160|        action=\\\"archive_review_test_equity_artifacts\\\",\\n   161|        entity_type=\\\"runtime_db\\\",\\n   162|        entity_id=\\\"equity_review_test_artifacts\\\",\\n   163|        old_values={},\\n   164|        new_values={\\n   165|            \\\"accounts_archived\\\": len(plan.account_ids),\\n   166|            \\\"instruments_archived\\\": len(plan.instrument_ids),\\n   167|            \\\"transactions_voided\\\": len(plan.transaction_ids),\\n   168|            \\\"alerts_resolved\\\": len(plan.alert_ids),\\n   169|            \\\"manual_positions_preserved\\\": plan.manual_position_count,\\n   170|        },\\n   171|        user_text_note=note,\\n   172|        confirmed=True,\\n   173|        created_by=\\\"dashboard_cleanup\\\",\\n   174|    )\\n   175|    conn.commit()\\n   176|    return audit_id\\n   177|\", \"total_lines\": 176, \"file_size\": 7583, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from . import page_00_command_center\\n     4|from . import page_01_portfolio\\n     5|from . import page_02_platforms\\n     6|from . import page_03_equities_etfs\\n     7|from . import page_04_crypto\\n     8|from . import page_05_wallets\\n     9|from . import page_06_ledger\\n    10|from . import page_07_watchlist\\n    11|from . import page_08_reports\\n    12|from . import page_09_alerts\\n    13|from . import page_10_audit\\n    14|from . import page_11_settings_data_quality\\n    15|from . import page_12_crypto_manage\\n    16|from . import page_13_equity_manage\\n    17|from . import page_14_import_wizard\\n    18|from . import page_15_manual_review_queue\\n    19|from . import page_16_data_quality_center\\n    20|from . import page_17_position_add\\n    21|\\n    22|PAGES = [\\n    23|    page_00_command_center,\\n    24|    page_01_portfolio,\\n    25|    page_02_platforms,\\n    26|    page_03_equities_etfs,\\n    27|    page_04_crypto,\\n    28|    page_05_wallets,\\n    29|    page_06_ledger,\\n    30|    page_07_watchlist,\\n    31|    page_08_reports,\\n    32|    page_09_alerts,\\n    33|    page_10_audit,\\n    34|    page_11_settings_data_quality,\\n    35|    page_12_crypto_manage,\\n    36|    page_13_equity_manage,\\n    37|    page_14_import_wizard,\\n    38|    page_15_manual_review_queue,\\n    39|    page_16_data_quality_center,\\n    40|    page_17_position_add,\\n    41|]\\n    42|\", \"total_lines\": 41, \"file_size\": 1117, \"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, InvalidOperation\\n     5|from sqlite3 import Connection\\n     6|from typing import Protocol\\n     7|from urllib import error, parse, request\\n     8|import json\\n     9|\\n    10|from jarvis_finance.imports.common import stable_id, utc_now\\n    11|from jarvis_finance.market_data.catalog import _runtime_secret_value\\n    12|from jarvis_finance.market_data.instruments import resolve_instrument_alerts, update_instrument_metadata\\n    13|from jarvis_finance.quality.alerts import create_alert\\n    14|\\n    15|\\n    16|@dataclass(frozen=True)\\n    17|class EquityPriceQuote:\\n    18|    provider_symbol: str\\n    19|    currency: str\\n    20|    close: Decimal | None\\n    21|    provider: str = \\\"mock\\\"\\n    22|    provider_market: str | None = None\\n    23|    price_timestamp: str | None = None\\n    24|    adjusted_close: Decimal | None = None\\n    25|    quality_status: str = \\\"fresh\\\"\\n    26|    error_message: str | None = None\\n    27|\\n    28|\\n    29|@dataclass\\n    30|class MarketPriceRefreshResult:\\n    31|    asset_class: str\\n    32|    total_mappings: int = 0\\n    33|    updated_count: int = 0\\n    34|    skipped_count: int = 0\\n    35|    excluded_count: int = 0\\n    36|    cached_count: int = 0\\n    37|    stale_count: int = 0\\n    38|    warning_count: int = 0\\n    39|    error_count: int = 0\\n    40|    dry_run: bool = False\\n    41|    warnings: list[str] = field(default_factory=list)\\n    42|    errors: list[str] = field(default_factory=list)\\n    43|\\n    44|\\n    45|class EquityPriceProvider(Protocol):\\n    46|    name: str\\n    47|    def get_price(self, provider_symbol: str, *, price_date: str | None = None) -> EquityPriceQuote: ...\\n    48|\\n    49|\\n    50|class MockEquityPriceProvider:\\n    51|    name = \\\"mock\\\"\\n    52|\\n    53|    def __init__(self, prices: dict[str, Decimal | str | None], *, currency: str = \\\"USD\\\", timestamps: dict[str, str] | None = None) -> None:\\n    54|        self.prices = {k: (Decimal(str(v)) if v is not None else None) for k, v in prices.items()}\\n    55|        self.currency = currency.upper()\\n    56|        self.timestamps = timestamps or {}\\n    57|\\n    58|    def get_price(self, provider_symbol: str, *, price_date: str | None = None) -> EquityPriceQuote:\\n    59|        if provider_symbol not in self.prices or self.prices[provider_symbol] is None:\\n    60|            return EquityPriceQuote(provider_symbol=provider_symbol, currency=self.currency, close=None, quality_status=\\\"missing\\\", error_message=\\\"price missing\\\", provider=self.name)\\n    61|        return EquityPriceQuote(provider_symbol=provider_symbol, currency=self.currency, close=self.prices[provider_symbol], price_timestamp=self.timestamps.get(provider_symbol), provider=self.name)\\n    62|\\n    63|\\n    64|class FmpEquityPriceProvider:\\n    65|    name = \\\"fmp\\\"\\n    66|\\n    67|    def __init__(self, *, api_key: str | None = None, timeout_seconds: float = 8.0) -> None:\\n    68|        self.api_key = api_key or _runtime_secret_value((\\\"FMP_API_KEY\\\", \\\"FINANCIAL_MODELING_PREP_API_KEY\\\", \\\"JARVIS_FMP_API_KEY\\\"))\\n    69|        self.timeout_seconds = timeout_seconds\\n    70|\\n    71|    def _get_json(self, path: str, params: dict[str, str]) -> object:\\n    72|        if not self.api_key:\\n    73|            raise RuntimeError(\\\"fmp_api_key_missing\\\")\\n    74|        path = path if path.startswith(\\\"/\\\") else \\\"/\\\" + path\\n    75|        url = \\\"https://financialmodelingprep.com\\\" + path + \\\"?\\\" + parse.urlencode({**params, \\\"apikey\\\": self.api_key})\\n    76|        req = request.Request(url, headers={\\\"Accept\\\": \\\"application/json\\\"})\\n    77|        try:\\n    78|            with request.urlopen(req, timeout=self.timeout_seconds) as response:  # noqa: S310 - explicit user-triggered provider lookup\\n    79|                return json.loads(response.read().decode(\\\"utf-8\\\"))\\n    80|        except error.HTTPError as exc:\\n    81|            if exc.code in {401, 403}:\\n    82|                raise RuntimeError(\\\"fmp_auth_failed\\\") from exc\\n    83|            if exc.code == 402:\\n    84|                raise RuntimeError(\\\"fmp_endpoint_restricted\\\") from exc\\n    85|            if exc.code == 429:\\n    86|                raise RuntimeError(\\\"fmp_rate_limited\\\") from exc\\n    87|            raise RuntimeError(\\\"fmp_provider_error\\\") from exc\\n    88|        except error.URLError as exc:\\n    89|            raise RuntimeError(\\\"fmp_network_error\\\") from exc\\n    90|\\n    91|    def get_price(self, provider_symbol: str, *, price_date: str | None = None) -> EquityPriceQuote:\\n    92|        symbol = (provider_symbol or \\\"\\\").strip().upper()\\n    93|        if not symbol:\\n    94|            return EquityPriceQuote(provider_symbol=symbol, currency=\\\"\\\", close=None, provider=self.name, quality_status=\\\"missing\\\", error_message=\\\"provider_symbol_missing\\\")\\n    95|        try:\\n    96|            payload = self._get_json(\\\"/stable/profile\\\", {\\\"symbol\\\": symbol})\\n    97|        except RuntimeError as exc:\\n    98|            return EquityPriceQuote(provider_symbol=symbol, currency=\\\"\\\", close=None, provider=self.name, quality_status=\\\"missing\\\", error_message=str(exc))\\n    99|        row = payload[0] if isinstance(payload, list) and payload and isinstance(payload[0], dict) else payload if isinstance(payload, dict) else {}\\n   100|        if isinstance(row.get(\\\"data\\\"), list) and row[\\\"data\\\"] and isinstance(row[\\\"data\\\"][0], dict):\\n   101|            row = row[\\\"data\\\"][0]\\n   102|        price = row.get(\\\"price\\\") or row.get(\\\"lastPrice\\\")\\n   103|        try:\\n   104|            close = Decimal(str(price)) if price not in {None, \\\"\\\"} else None\\n   105|        except (InvalidOperation, ValueError):\\n   106|            close = None\\n   107|        if close is None or close <= 0:\\n   108|            return EquityPriceQuote(provider_symbol=symbol, currency=\\\"\\\", close=None, provider=self.name, quality_status=\\\"missing\\\", error_message=\\\"price_missing\\\")\\n   109|        currency = str(row.get(\\\"currency\\\") or row.get(\\\"priceCurrency\\\") or \\\"\\\").upper()\\n   110|        return EquityPriceQuote(provider_symbol=symbol, currency=currency or \\\"USD\\\", close=close, provider=self.name, price_timestamp=utc_now(), quality_status=\\\"fresh\\\")\\n   111|\\n   112|\\n   113|class _HttpEquityPriceProvider:\\n   114|    name = \\\"provider\\\"\\n   115|    api_key_env: tuple[str, ...] = ()\\n   116|\\n   117|    def __init__(self, *, api_key: str | None = None, timeout_seconds: float = 8.0) -> None:\\n   118|        self.api_key = api_key or _runtime_secret_value(self.api_key_env)\\n   119|        self.timeout_seconds = timeout_seconds\\n   120|\\n   121|    def _json_url(self, url: str, *, headers: dict[str, str] | None = None) -> object:\\n   122|        req = request.Request(url, headers=headers or {\\\"Accept\\\": \\\"application/json\\\"})\\n   123|        try:\\n   124|            with request.urlopen(req, timeout=self.timeout_seconds) as response:  # noqa: S310 - explicit CLI/user provider lookup\\n   125|                return json.loads(response.read().decode(\\\"utf-8\\\"))\\n   126|        except error.HTTPError as exc:\\n   127|            if exc.code in {401, 403}:\\n   128|                raise RuntimeError(f\\\"{self.name}_auth_failed\\\") from exc\\n   129|            if exc.code == 402:\\n   130|                raise RuntimeError(f\\\"{self.name}_endpoint_restricted\\\") from exc\\n   131|            if exc.code == 429:\\n   132|                raise RuntimeError(f\\\"{self.name}_rate_limited\\\") from exc\\n   133|            raise RuntimeError(f\\\"{self.name}_provider_error\\\") from exc\\n   134|        except error.URLError as exc:\\n   135|            raise RuntimeError(f\\\"{self.name}_network_error\\\") from exc\\n   136|\\n   137|    @staticmethod\\n   138|    def _decimal_price(value: object) -> Decimal | None:\\n   139|        try:\\n   140|            price = Decimal(str(value)) if value not in {None, \\\"\\\"} else None\\n   141|        except (InvalidOperation, ValueError):\\n   142|            return None\\n   143|        return price if price is not None and price > 0 else None\\n   144|\\n   145|    def _missing(self, symbol: str, message: str) -> EquityPriceQuote:\\n   146|        return EquityPriceQuote(provider_symbol=symbol, currency=\\\"\\\", close=None, provider=self.name, quality_status=\\\"missing\\\", error_message=message)\\n   147|\\n   148|\\n   149|class FinnhubEquityPriceProvider(_HttpEquityPriceProvider):\\n   150|    name = \\\"finnhub\\\"\\n   151|    api_key_env = (\\\"FINNHUB_API_KEY\\\", \\\"JARVIS_FINNHUB_API_KEY\\\")\\n   152|\\n   153|    def get_price(self, provider_symbol: str, *, price_date: str | None = None) -> EquityPriceQuote:\\n   154|        symbol = (provider_symbol or \\\"\\\").strip().upper()\\n   155|        if not symbol:\\n   156|            return self._missing(symbol, \\\"provider_symbol_missing\\\")\\n   157|        if not self.api_key:\\n   158|            return self._missing(symbol, \\\"finnhub_api_key_missing\\\")\\n   159|        try:\\n   160|            payload = self._json_url(\\\"https://finnhub.io/api/v1/quote?\\\" + parse.urlencode({\\\"symbol\\\": symbol, \\\"token\\\": self.api_key}))\\n   161|            profile = self._json_url(\\\"https://finnhub.io/api/v1/stock/profile2?\\\" + parse.urlencode({\\\"symbol\\\": symbol, \\\"token\\\": self.api_key}))\\n   162|        except RuntimeError as exc:\\n   163|            return self._missing(symbol, str(exc))\\n   164|        row = payload if isinstance(payload, dict) else {}\\n   165|        price = self._decimal_price(row.get(\\\"c\\\") or row.get(\\\"pc\\\"))\\n   166|        if price is None:\\n   167|            return self._missing(symbol, \\\"price_missing\\\")\\n   168|        currency = str(profile.get(\\\"currency\\\") or \\\"USD\\\").upper() if isinstance(profile, dict) else \\\"USD\\\"\\n   169|        return EquityPriceQuote(provider_symbol=symbol, currency=currency or \\\"USD\\\", close=price, provider=self.name, price_timestamp=utc_now(), quality_status=\\\"fresh\\\")\\n   170|\\n   171|\\n   172|class TwelveDataEquityPriceProvider(_HttpEquityPriceProvider):\\n   173|    name = \\\"twelvedata\\\"\\n   174|    api_key_env = (\\\"TWELVEDATA_API_KEY\\\", \\\"TWELVE_DATA_API_KEY\\\", \\\"JARVIS_TWELVEDATA_API_KEY\\\", \\\"JARVIS_TWELVE_DATA_API_KEY\\\")\\n   175|\\n   176|    def get_price(self, provider_symbol: str, *, price_date: str | None = None) -> EquityPriceQuote:\\n   177|        symbol = (provider_symbol or \\\"\\\").strip().upper()\\n   178|        if not symbol:\\n   179|            return self._missing(symbol, \\\"provider_symbol_missing\\\")\\n   180|        if not self.api_key:\\n   181|            return self._missing(symbol, \\\"twelvedata_api_key_missing\\\")\\n   182|        try:\\n   183|            payload = self._json_url(\\\"https://api.twelvedata.com/quote?\\\" + parse.urlencode({\\\"symbol\\\": symbol, \\\"apikey\\\": self.api_key}))\\n   184|        except RuntimeError as exc:\\n   185|            return self._missing(symbol, str(exc))\\n   186|        row = payload if isinstance(payload, dict) else {}\\n   187|        if str(row.get(\\\"status\\\") or \\\"\\\").lower() == \\\"error\\\":\\n   188|            return self._missing(symbol, \\\"twelvedata_provider_error\\\")\\n   189|        price = self._decimal_price(row.get(\\\"close\\\") or row.get(\\\"previous_close\\\") or row.get(\\\"price\\\"))\\n   190|        if price is None:\\n   191|            return self._missing(symbol, \\\"price_missing\\\")\\n   192|        currency = str(row.get(\\\"currency\\\") or \\\"USD\\\").upper()\\n   193|        ts = str(row.get(\\\"datetime\\\") or row.get(\\\"timestamp\\\") or utc_now())\\n   194|        return EquityPriceQuote(provider_symbol=symbol, currency=currency or \\\"USD\\\", close=price, provider=self.name, price_timestamp=ts, quality_status=\\\"fresh\\\")\\n   195|\\n   196|\\n   197|class MassiveEquityPriceProvider(_HttpEquityPriceProvider):\\n   198|    name = \\\"massive\\\"\\n   199|    api_key_env = (\\\"MASSIVE_API_KEY\\\", \\\"JARVIS_MASSIVE_API_KEY\\\")\\n   200|\\n   201|    def _massive_json(self, path: str) -> object:\\n   202|        if not self.api_key:\\n   203|            raise RuntimeError(\\\"massive_api_key_missing\\\")\\n   204|        base = \\\"https://api.massive.com\\\" + path\\n   205|        try:\\n   206|            return self._json_url(base, headers={\\\"Accept\\\": \\\"application/json\\\", \\\"Authorization\\\": f\\\"Bearer {self.api_key}\\\"})\\n   207|        except RuntimeError as exc:\\n   208|            if \\\"auth_failed\\\" not in str(exc):\\n   209|                raise\\n   210|            sep = \\\"&\\\" if \\\"?\\\" in base else \\\"?\\\"\\n   211|            return self._json_url(base + sep + parse.urlencode({\\\"apiKey\\\": self.api_key}), headers={\\\"Accept\\\": \\\"application/json\\\"})\\n   212|\\n   213|    def get_price(self, provider_symbol: str, *, price_date: str | None = None) -> EquityPriceQuote:\\n   214|        symbol = (provider_symbol or \\\"\\\").strip().upper()\\n   215|        if not symbol:\\n   216|            return self._missing(symbol, \\\"provider_symbol_missing\\\")\\n   217|        try:\\n   218|            payload = self._massive_json(f\\\"/v2/aggs/ticker/{parse.quote(symbol)}/prev\\\")\\n   219|        except RuntimeError as exc:\\n   220|            return self._missing(symbol, str(exc))\\n   221|        results = payload.get(\\\"results\\\", []) if isinstance(payload, dict) else []\\n   222|        row = results[0] if results and isinstance(results[0], dict) else {}\\n   223|        price = self._decimal_price(row.get(\\\"c\\\") or row.get(\\\"vw\\\"))\\n   224|        if price is None:\\n   225|            return self._missing(symbol, \\\"price_missing\\\")\\n   226|        return EquityPriceQuote(provider_symbol=symbol, currency=\\\"USD\\\", close=price, provider=self.name, price_timestamp=utc_now(), quality_status=\\\"fresh\\\")\\n   227|\\n   228|\\n   229|class EodhdEquityPriceProvider(_HttpEquityPriceProvider):\\n   230|    name = \\\"eodhd\\\"\\n   231|    api_key_env = (\\\"EODHD_API_KEY\\\", \\\"JARVIS_EODHD_API_KEY\\\")\\n   232|\\n   233|    def get_price(self, provider_symbol: str, *, price_date: str | None = None) -> EquityPriceQuote:\\n   234|        symbol = (provider_symbol or \\\"\\\").strip().upper()\\n   235|        if not symbol:\\n   236|            return self._missing(symbol, \\\"provider_symbol_missing\\\")\\n   237|        if not self.api_key:\\n   238|            return self._missing(symbol, \\\"eodhd_api_key_missing\\\")\\n   239|        eod_symbol = symbol if \\\".\\\" in symbol else f\\\"{symbol}.US\\\"\\n   240|        try:\\n   241|            payload = self._json_url(\\\"https://eodhd.com/api/real-time/\\\" + parse.quote(eod_symbol) + \\\"?\\\" + parse.urlencode({\\\"api_token\\\": self.api_key, \\\"fmt\\\": \\\"json\\\"}))\\n   242|        except RuntimeError as exc:\\n   243|            return self._missing(symbol, str(exc))\\n   244|        row = payload if isinstance(payload, dict) else {}\\n   245|        price = self._decimal_price(row.get(\\\"close\\\") or row.get(\\\"previousClose\\\"))\\n   246|        if price is None:\\n   247|            return self._missing(symbol, \\\"price_missing\\\")\\n   248|        return EquityPriceQuote(provider_symbol=symbol, currency=str(row.get(\\\"currency\\\") or \\\"USD\\\").upper(), close=price, provider=self.name, price_timestamp=utc_now(), quality_status=\\\"fresh\\\")\\n   249|\\n   250|\\n   251|class CompositeEquityPriceProvider:\\n   252|    name = \\\"auto\\\"\\n   253|\\n   254|    def __init__(self, providers: list[EquityPriceProvider] | None = None) -> None:\\n   255|        self.providers = providers or [FmpEquityPriceProvider(), TwelveDataEquityPriceProvider(), FinnhubEquityPriceProvider(), MassiveEquityPriceProvider()]\\n   256|\\n   257|    def get_price(self, provider_symbol: str, *, price_date: str | None = None) -> EquityPriceQuote:\\n   258|        last_quote: EquityPriceQuote | None = None\\n   259|        for provider in self.providers:\\n   260|            quote = provider.get_price(provider_symbol, price_date=price_date)\\n   261|            if quote.close is not None and quote.quality_status == \\\"fresh\\\":\\n   262|                return quote\\n   263|            last_quote = quote\\n   264|        return last_quote or EquityPriceQuote(provider_symbol=provider_symbol, currency=\\\"\\\", close=None, provider=self.name, quality_status=\\\"missing\\\", error_message=\\\"price_missing\\\")\\n   265|\\n   266|\\n   267|def equity_price_provider_by_name(name: str) -> EquityPriceProvider:\\n   268|    key = (name or \\\"\\\").lower().replace(\\\"-\\\", \\\"\\\")\\n   269|    providers = {\\n   270|        \\\"auto\\\": CompositeEquityPriceProvider,\\n   271|        \\\"fmp\\\": FmpEquityPriceProvider,\\n   272|        \\\"finnhub\\\": FinnhubEquityPriceProvider,\\n   273|        \\\"twelvedata\\\": TwelveDataEquityPriceProvider,\\n   274|        \\\"massive\\\": MassiveEquityPriceProvider,\\n   275|        \\\"eodhd\\\": EodhdEquityPriceProvider,\\n   276|    }\\n   277|    if key not in providers:\\n   278|        raise ValueError(\\\"unknown equity price provider\\\")\\n   279|    return providers[key]()\\n   280|\\n   281|\\n   282|def _resolve_market_alerts(conn: Connection, *, instrument_id: str) -> int:\\n   283|    return resolve_instrument_alerts(conn, instrument_id=instrument_id, rule_ids=[\\\"missing_market_price\\\", \\\"stale_market_price\\\"])\\n   284|\\n   285|\\n   286|def _previous_price(conn: Connection, *, instrument_id: str, price_date: str, provider: str):\\n   287|    return conn.execute(\\n   288|        \\\"\\\"\\\"\\n   289|        SELECT * FROM market_prices\\n   290|        WHERE instrument_id=? AND provider=? AND price_date<? AND close IS NOT NULL AND close!=''\\n   291|        ORDER BY price_date DESC, created_at DESC LIMIT 1\\n   292|        \\\"\\\"\\\",\\n   293|        (instrument_id, provider, price_date),\\n   294|    ).fetchone()\\n   295|\\n   296|\\n   297|def _corporate_action_status(conn: Connection, *, instrument_id: str, price_date: str, provider: str, close: Decimal | None) -> str:\\n   298|    if close is None or close <= 0:\\n   299|        return \\\"not_checked\\\"\\n   300|    prev = _previous_price(conn, instrument_id=instrument_id, price_date=price_date, provider=provider)\\n   301|    if not prev or not prev[\\\"close\\\"]:\\n   302|        return \\\"not_checked\\\"\\n   303|    old = Decimal(str(prev[\\\"close\\\"]))\\n   304|    if old <= 0:\\n   305|        return \\\"not_checked\\\"\\n   306|    change = abs((close - old) / old)\\n   307|    if change > Decimal(\\\"0.25\\\"):\\n   308|        create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=\\\"corporate_action_suspected\\\", message=\\\"Large local price move detected; corporate action review required before high-confidence valuation.\\\", evidence={\\\"previous_price_date\\\": prev[\\\"price_date\\\"], \\\"price_date\\\": price_date}, fingerprint=\\\"corporate_action_suspected\\\")\\n   309|        create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=\\\"split_or_corporate_action_review_required\\\", message=\\\"Split/corporate-action review required; no automatic split correction is applied.\\\", evidence={\\\"previous_price_date\\\": prev[\\\"price_date\\\"], \\\"price_date\\\": price_date}, fingerprint=\\\"split_or_corporate_action_review_required\\\")\\n   310|        update_instrument_metadata(conn, instrument_id=instrument_id, corporate_action_status=\\\"suspected\\\", split_or_corporate_action_review_required=True, note=\\\"Automatic C2 heuristic detected >25% local price move; review required.\\\")\\n   311|        return \\\"suspected\\\"\\n   312|    return \\\"none_known\\\"\\n   313|\\n   314|\\n   315|def store_market_price(\\n   316|    conn: Connection,\\n   317|    *,\\n   318|    instrument_id: str,\\n   319|    price_date: str,\\n   320|    close: Decimal | None,\\n   321|    currency: str,\\n   322|    provider: str,\\n   323|    provider_symbol: str | None,\\n   324|    provider_market: str | None = None,\\n   325|    price_timestamp: str | None = None,\\n   326|    adjusted_close: Decimal | None = None,\\n   327|    quality_status: str = \\\"fresh\\\",\\n   328|    error_message: str | None = None,\\n   329|) -> str:\\n   330|    now = utc_now()\\n   331|    corp_status = _corporate_action_status(conn, instrument_id=instrument_id, price_date=price_date, provider=provider, close=close) if quality_status == \\\"fresh\\\" else \\\"not_checked\\\"\\n   332|    market_price_id = stable_id(\\\"marketprice\\\", instrument_id, price_date, provider, provider_symbol or \\\"\\\", now)\\n   333|    conn.execute(\\n   334|        \\\"\\\"\\\"\\n   335|        INSERT INTO market_prices(\\n   336|            market_price_id, instrument_id, price_date, price_timestamp, close, adjusted_close,\\n   337|            currency, provider, provider_symbol, quality_status, created_at, provider_market, error_message,\\n   338|            corporate_action_status\\n   339|        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n   340|        ON CONFLICT(instrument_id, price_date, provider) DO UPDATE SET\\n   341|            price_timestamp=excluded.price_timestamp,\\n   342|            close=excluded.close,\\n   343|            adjusted_close=excluded.adjusted_close,\\n   344|            currency=excluded.currency,\\n   345|            provider_symbol=excluded.provider_symbol,\\n   346|            quality_status=excluded.quality_status,\\n   347|            created_at=excluded.created_at,\\n   348|            provider_market=excluded.provider_market,\\n   349|            error_message=excluded.error_message,\\n   350|            corporate_action_status=excluded.corporate_action_status\\n   351|        \\\"\\\"\\\",\\n   352|        (market_price_id, instrument_id, price_date, price_timestamp, format(close, \\\"f\\\") if close is not None else \\\"\\\", format(adjusted_close, \\\"f\\\") if adjusted_close is not None else None, currency.upper(), provider, provider_symbol, quality_status, now, provider_market, error_message, corp_status),\\n   353|    )\\n   354|    if quality_status in {\\\"missing\\\", \\\"stale\\\", \\\"error\\\", \\\"conflict\\\"} or close is None:\\n   355|        rule = \\\"stale_market_price\\\" if quality_status == \\\"stale\\\" else \\\"missing_market_price\\\"\\n   356|        create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=rule, message=\\\"Instrument local market price is not fresh.\\\", evidence={\\\"provider\\\": provider, \\\"provider_symbol\\\": provider_symbol, \\\"price_date\\\": price_date, \\\"quality_status\\\": quality_status}, fingerprint=f\\\"{rule}:{provider}:{provider_symbol}\\\")\\n   357|    elif quality_status == \\\"fresh\\\":\\n   358|        _resolve_market_alerts(conn, instrument_id=instrument_id)\\n   359|    conn.commit()\\n   360|    return market_price_id\\n   361|\\n   362|\\n   363|def refresh_market_prices(\\n   364|    conn: Connection,\\n   365|    *,\\n   366|    provider: EquityPriceProvider,\\n   367|    asset_class: str,\\n   368|    price_date: str | None = None,\\n   369|    only_missing: bool = False,\\n   370|    only_stale: bool = False,\\n   371|    only_isin: str | None = None,\\n   372|    limit: int | None = None,\\n   373|    dry_run: bool = False,\\n   374|) -> MarketPriceRefreshResult:\\n   375|    asset = asset_class.lower()\\n   376|    result = MarketPriceRefreshResult(asset_class=asset, dry_run=dry_run)\\n   377|    query = \\\"\\\"\\\"\\n   378|        SELECT m.*, i.asset_class, i.isin, i.instrument_status AS current_instrument_status, i.valuation_policy AS current_valuation_policy FROM instrument_price_mappings m\\n   379|        JOIN instruments i ON i.instrument_id=m.instrument_id\\n   380|        WHERE LOWER(i.asset_class)=? AND m.mapping_status='mapped' AND m.provider_symbol IS NOT NULL\\n   381|        ORDER BY i.isin, m.provider_symbol\\n   382|    \\\"\\\"\\\"\\n   383|    mappings = conn.execute(query, (asset,)).fetchall()\\n   384|    if only_isin:\\n   385|        mappings = [m for m in mappings if (m[\\\"isin\\\"] or \\\"\\\").upper() == only_isin.upper()]\\n   386|    if limit is not None:\\n   387|        mappings = mappings[:limit]\\n   388|    result.total_mappings = len(mappings)\\n   389|    effective_date = price_date or utc_now()[:10]\\n   390|    for mapping in mappings:\\n   391|        if mapping[\\\"current_instrument_status\\\"] in {\\\"delisted\\\", \\\"suspended\\\", \\\"merged\\\", \\\"inactive\\\"} or mapping[\\\"current_valuation_policy\\\"] == \\\"exclude_from_auto_price_update\\\":\\n   392|            result.excluded_count += 1\\n   393|            result.skipped_count += 1\\n   394|            if not dry_run:\\n   395|                create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=mapping[\\\"instrument_id\\\"], rule_id=\\\"delisted_or_suspended\\\", message=\\\"Instrument excluded from automatic market-price update.\\\", evidence={\\\"instrument_status\\\": mapping[\\\"current_instrument_status\\\"], \\\"valuation_policy\\\": mapping[\\\"current_valuation_policy\\\"]}, fingerprint=f\\\"excluded:{mapping['current_instrument_status']}:{mapping['current_valuation_policy']}\\\")\\n   396|            continue\\n   397|        latest = conn.execute(\\\"SELECT * FROM market_prices WHERE instrument_id=? AND quality_status='fresh' ORDER BY price_date DESC, created_at DESC LIMIT 1\\\", (mapping[\\\"instrument_id\\\"],)).fetchone()\\n   398|        if only_missing and latest:\\n   399|            result.cached_count += 1\\n   400|            continue\\n   401|        if only_stale and latest and latest[\\\"price_date\\\"] >= effective_date:\\n   402|            result.cached_count += 1\\n   403|            continue\\n   404|        quote = provider.get_price(mapping[\\\"provider_symbol\\\"], price_date=effective_date)\\n   405|        status = quote.quality_status\\n   406|        if not dry_run:\\n   407|            store_market_price(conn, instrument_id=mapping[\\\"instrument_id\\\"], price_date=effective_date, close=quote.close, currency=quote.currency or mapping[\\\"currency\\\"], provider=quote.provider or provider.name, provider_symbol=mapping[\\\"provider_symbol\\\"], provider_market=mapping[\\\"provider_market\\\"], price_timestamp=quote.price_timestamp, adjusted_close=quote.adjusted_close, quality_status=status, error_message=quote.error_message)\\n   408|        if quote.close is not None and status == \\\"fresh\\\":\\n   409|            result.updated_count += 1\\n   410|        elif status in {\\\"missing\\\", \\\"stale\\\"}:\\n   411|            result.warning_count += 1\\n   412|            result.warnings.append(mapping[\\\"instrument_id\\\"])\\n   413|            if status == \\\"stale\\\":\\n   414|                result.stale_count += 1\\n   415|            if status == \\\"missing\\\" and not dry_run:\\n   416|                update_instrument_metadata(conn, instrument_id=mapping[\\\"instrument_id\\\"], instrument_status=\\\"suspected_inactive\\\", note=\\\"Provider returned missing price; suspected inactive requires manual review.\\\")\\n   417|        else:\\n   418|            result.error_count += 1\\n   419|            result.errors.append(mapping[\\\"instrument_id\\\"])\\n   420|    if not dry_run:\\n   421|        conn.commit()\\n   422|    return result\\n   423|\", \"total_lines\": 422, \"file_size\": 22927, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_QlUvpOejYYYzBYsPn6H3uJ8k"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Evaluating FX UI changes**\n\nI need to inspect and possibly add a position in the FX user interface. It sounds like a straightforward task but I want to ensure everything is functioning properly before making any adjustments. I’ll check the current layout and see where I can make the necessary additions without causing confusion or clutter. It's important to maintain clarity, so I’ll take my time to review everything thoroughly before proceeding.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Evaluating FX UI changes**\n\nI need to inspect and possibly add a position in the FX user interface. It sounds like a straightforward task but I want to ensure everything is functioning properly before making any adjustments. I’ll check the current layout and see where I can make the necessary additions without causing confusion or clutter. It's important to maintain clarity, so I’ll take my time to review everything thoroughly before proceeding.",
      "codex_reasoning_items": [
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          "id": "rs_0bedd21c27d570dd016a0871e955b481919b13cf9b13925e24",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Evaluating FX UI changes**\n\nI need to inspect and possibly add a position in the FX user interface. It sounds like a straightforward task but I want to ensure everything is functioning properly before making any adjustments. I’ll check the current layout and see where I can make the necessary additions without causing confusion or clutter. It's important to maintain clarity, so I’ll take my time to review everything thoroughly before proceeding."
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      "tool_calls": [
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          "type": "function",
          "function": {
            "name": "read_file",
            "arguments": "{\"limit\":740,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/views/page_17_position_add.py\"}"
          }
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    {
      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from decimal import Decimal\\n     4|\\n     5|from jarvis_finance.dashboard.components.tables import show_table\\n     6|from jarvis_finance.equity.manage import (\\n     7|    add_manual_position_from_catalog,\\n     8|    create_manual_catalog_entry,\\n     9|    ensure_standard_broker_accounts,\\n    10|    get_equity_management_options,\\n    11|    search_instrument_candidates,\\n    12|)\\n    13|from jarvis_finance.ledger.cash import apply_manual_cash_correction\\n    14|from jarvis_finance.market_data.catalog import instrument_provider_statuses\\n    15|\\n    16|PAGE_TITLE = \\\"Position hinzufügen\\\"\\n    17|SECRET_ENV_PATH = \\\"~/jarvis_runtime/finance-system/secrets/.env\\\"\\n    18|SUPPORTED_PROVIDER_KEYS = \\\"OPENFIGI_API_KEY/JARVIS_OPENFIGI_API_KEY, FMP_API_KEY/JARVIS_FMP_API_KEY, FINNHUB_API_KEY/JARVIS_FINNHUB_API_KEY, TWELVEDATA_API_KEY/TWELVE_DATA_API_KEY/JARVIS_*, MASSIVE_API_KEY/JARVIS_MASSIVE_API_KEY, EODHD_API_KEY/JARVIS_EODHD_API_KEY, ALPHA_VANTAGE_API_KEY/JARVIS_ALPHA_VANTAGE_API_KEY\\\"\\n    19|\\n    20|\\n    21|def _account_label(row: dict) -> str:\\n    22|    return f\\\"{row['platform_name']} · {row['account_name']} · {row['currency']}\\\"\\n    23|\\n    24|\\n    25|def _selected(rows: list[dict], label: str | None, labeler) -> dict | None:\\n    26|    if not label:\\n    27|        return None\\n    28|    for row in rows:\\n    29|        if labeler(row) == label:\\n    30|            return row\\n    31|    return None\\n    32|\\n    33|\\n    34|def _asset_label(value: str) -> str:\\n    35|    return \\\"Aktie\\\" if value == \\\"stock\\\" else \\\"ETF\\\" if value == \\\"etf\\\" else value\\n    36|\\n    37|\\n    38|def _search_rows(results: list[dict]) -> list[dict[str, str]]:\\n    39|    return [\\n    40|        {\\n    41|            \\\"Name\\\": r.get(\\\"name\\\", \\\"\\\"),\\n    42|            \\\"ISIN\\\": r.get(\\\"isin\\\", \\\"\\\"),\\n    43|            \\\"Ticker\\\": r.get(\\\"ticker\\\", \\\"\\\"),\\n    44|            \\\"Exchange\\\": r.get(\\\"exchange\\\", \\\"\\\"),\\n    45|            \\\"Währung\\\": r.get(\\\"currency\\\", \\\"\\\"),\\n    46|            \\\"Assetklasse\\\": _asset_label(r.get(\\\"asset_class\\\", \\\"\\\")),\\n    47|            \\\"Land\\\": r.get(\\\"country\\\", \\\"\\\"),\\n    48|            \\\"Datenquelle\\\": r.get(\\\"data_source\\\", \\\"\\\"),\\n    49|            \\\"Status\\\": r.get(\\\"trust_status\\\", r.get(\\\"mapping_status\\\", \\\"Manuell prüfen\\\")),\\n    50|        }\\n    51|        for r in results\\n    52|    ]\\n    53|\\n    54|\\n    55|def _price_preview(selected: dict | None) -> str:\\n    56|    if not selected:\\n    57|        return \\\"Preis noch nicht verfügbar\\\"\\n    58|    price = selected.get(\\\"last_price\\\")\\n    59|    if not price:\\n    60|        return \\\"Preis noch nicht verfügbar\\\"\\n    61|    currency = selected.get(\\\"price_currency\\\") or selected.get(\\\"currency\\\") or \\\"\\\"\\n    62|    date = selected.get(\\\"price_date\\\") or \\\"Datum unbekannt\\\"\\n    63|    source = selected.get(\\\"price_source\\\") or \\\"lokale market_prices\\\"\\n    64|    return f\\\"{price} {currency} per {date} · Quelle: {source}\\\".strip()\\n    65|\\n    66|\\n    67|def _quality_warnings(*, selected: dict | None, quantity: str, account_label: str | None, cost_basis: str, currency: str, fx_status: str, fx_rate: str, note: str, transaction_type: str) -> list[str]:\\n    68|    warnings: list[str] = []\\n    69|    if not selected:\\n    70|        warnings.append(\\\"Instrument noch nicht ausgewählt\\\")\\n    71|    if not account_label:\\n    72|        warnings.append(\\\"Depot/Konto fehlt\\\")\\n    73|    if not str(quantity or \\\"\\\").strip() and transaction_type not in {\\\"Dividende / Ausschüttung\\\"}:\\n    74|        warnings.append(\\\"Menge fehlt\\\")\\n    75|    if not str(cost_basis or \\\"\\\").strip():\\n    76|        warnings.append(\\\"cost_basis_uncertain: Einstand/Cost Basis fehlt; Performance bleibt unvollständig\\\")\\n    77|    if currency in {\\\"USD\\\", \\\"EUR\\\"} and not str(fx_rate or \\\"\\\").strip() and fx_status not in {\\\"ok\\\", \\\"missing\\\", \\\"manual_override_required\\\"}:\\n    78|        warnings.append(\\\"FX fehlt: Fremdwährung braucht Auto-FX, manuellen FX-Kurs oder bewusst unvollständige Bewertung\\\")\\n    79|    if transaction_type in {\\\"Manuelle Korrektur\\\"} and not str(note or \\\"\\\").strip():\\n    80|        warnings.append(\\\"Notiz fehlt für manuelle Korrektur\\\")\\n    81|    if selected and selected.get(\\\"trust_status\\\") in {\\\"Unsicher\\\", \\\"Manuell prüfen\\\"}:\\n    82|        warnings.append(\\\"Treffer ist prüfpflichtig; Auswahl bewusst bestätigen\\\")\\n    83|    return warnings\\n    84|\\n    85|\\n    86|def render(st, conn) -> None:\\n    87|    st.title(\\\"Position hinzufügen\\\")\\n    88|    st.caption(\\\"Geführter User-Mode-Wizard für manuelle Aktien-/ETF-Erfassung. Kein DOCX-Import, keine Live-API beim normalen Laden.\\\")\\n    89|    st.info(\\\"Hauptpfad: Assetklasse wählen → lokal/online suchen → Treffer bewusst auswählen → Position erfassen → Review → bestätigen.\\\")\\n    90|\\n    91|    ensure_standard_broker_accounts(conn)\\n    92|    options = get_equity_management_options(conn)\\n    93|    account_labels = [_account_label(row) for row in options[\\\"accounts\\\"]]\\n    94|\\n    95|    st.subheader(\\\"Provider-Status\\\")\\n    96|    show_table(st, instrument_provider_statuses(probe=False))\\n    97|    st.caption(f\\\"API-Keys lokal ablegen unter: {SECRET_ENV_PATH}\\\")\\n    98|    st.caption(f\\\"Unterstützte Variablen: {SUPPORTED_PROVIDER_KEYS}\\\")\\n    99|    st.caption(\\\"Keys werden nicht ins Repo geschrieben, nicht geloggt und nicht im Dashboard angezeigt.\\\")\\n   100|\\n   101|    st.subheader(\\\"1. Assetklasse wählen\\\")\\n   102|    asset_choice = st.selectbox(\\\"Assetklasse\\\", [\\\"Alle\\\", \\\"Aktie\\\", \\\"ETF\\\", \\\"Crypto\\\", \\\"Cash\\\"], key=\\\"position_add_asset_choice\\\")\\n   103|    if asset_choice == \\\"Crypto\\\":\\n   104|        st.warning(\\\"Für Crypto bitte die Crypto-/Wallet-Funktionen nutzen; dort sind Coin-Detail und auditierbare Aktionen verfügbar.\\\")\\n   105|        return\\n   106|    if asset_choice == \\\"Cash\\\":\\n   107|        st.subheader(\\\"Cash erfassen\\\")\\n   108|        st.caption(\\\"Auditierbare Cash-Buchung/Korrektur. Positive Beträge erhöhen Cash, negative Beträge reduzieren Cash.\\\")\\n   109|        account_label = st.selectbox(\\\"Plattform/Depot\\\", account_labels, key=\\\"position_add_cash_account\\\") if account_labels else None\\n   110|        currency = st.selectbox(\\\"Währung\\\", [\\\"CHF\\\", \\\"EUR\\\", \\\"USD\\\"], key=\\\"position_add_cash_currency\\\")\\n   111|        amount = st.text_input(\\\"Betrag als Decimal-Text\\\", key=\\\"position_add_cash_amount\\\")\\n   112|        trade_date = st.date_input(\\\"Buchungsdatum\\\", key=\\\"position_add_cash_date\\\")\\n   113|        note = st.text_area(\\\"Review-Notiz\\\", key=\\\"position_add_cash_note\\\")\\n   114|        confirmed = st.checkbox(\\\"Ich bestätige diese Cash-Buchung.\\\", key=\\\"position_add_cash_confirm\\\")\\n   115|        selected_account = _selected(options[\\\"accounts\\\"], account_label, _account_label)\\n   116|        if st.button(\\\"Cash speichern\\\", key=\\\"position_add_cash_save\\\", type=\\\"primary\\\"):\\n   117|            try:\\n   118|                if not selected_account:\\n   119|                    raise ValueError(\\\"Depot/Konto ist erforderlich\\\")\\n   120|                audit_id = apply_manual_cash_correction(\\n   121|                    conn,\\n   122|                    account_id=selected_account[\\\"account_id\\\"],\\n   123|                    currency=currency,\\n   124|                    amount=Decimal(str(amount)),\\n   125|                    note=note if confirmed else \\\"\\\",\\n   126|                    trade_date=str(trade_date),\\n   127|                )\\n   128|                st.success(f\\\"Cash gespeichert und auditiert: {audit_id}\\\")\\n   129|            except Exception as exc:\\n   130|                st.error(f\\\"Cash-Speicherung abgelehnt: {exc}\\\")\\n   131|        return\\n   132|    asset_class = None if asset_choice == \\\"Alle\\\" else \\\"stock\\\" if asset_choice == \\\"Aktie\\\" else \\\"etf\\\"\\n   133|\\n   134|    st.subheader(\\\"2. Instrument suchen\\\")\\n   135|    query = st.text_input(\\\"ISIN, Name oder Ticker\\\", key=\\\"position_add_query\\\")\\n   136|    currency_filter = st.selectbox(\\\"Währung optional\\\", [\\\"\\\", \\\"CHF\\\", \\\"EUR\\\", \\\"USD\\\"], key=\\\"position_add_currency\\\")\\n   137|    exchange_filter = st.text_input(\\\"Börse/Exchange optional\\\", key=\\\"position_add_exchange\\\")\\n   138|    country_filter = st.text_input(\\\"Land optional\\\", key=\\\"position_add_country\\\")\\n   139|    provider_filter = st.text_input(\\\"Provider optional\\\", key=\\\"position_add_provider\\\")\\n   140|    c1, c2, c3 = st.columns(3)\\n   141|    if c1.button(\\\"Lokal suchen\\\", key=\\\"position_add_local_search\\\"):\\n   142|        st.session_state[\\\"position_add_search_results\\\"] = search_instrument_candidates(\\n   143|            conn,\\n   144|            query=query,\\n   145|            asset_class=asset_class,\\n   146|            exchange=exchange_filter or None,\\n   147|            currency=currency_filter or None,\\n   148|            country=country_filter or None,\\n   149|            provider=provider_filter or None,\\n   150|            include_external=False,\\n   151|        )\\n   152|        st.session_state.pop(\\\"position_add_selected_index\\\", None)\\n   153|    if c2.button(\\\"Online suchen\\\", key=\\\"position_add_online_search\\\"):\\n   154|        st.session_state[\\\"position_add_search_results\\\"] = search_instrument_candidates(\\n   155|            conn,\\n   156|            query=query,\\n   157|            asset_class=asset_class,\\n   158|            exchange=exchange_filter or None,\\n   159|            currency=currency_filter or None,\\n   160|            country=country_filter or None,\\n   161|            provider=provider_filter or None,\\n   162|            include_external=True,\\n   163|        )\\n   164|        st.session_state.pop(\\\"position_add_selected_index\\\", None)\\n   165|    c3.caption(\\\"Online-Suche läuft nur bei Klick. Fehlende Keys erzeugen Hinweis, keinen Crash.\\\")\\n   166|\\n   167|    search_state = st.session_state.get(\\\"position_add_search_results\\\", {\\\"results\\\": [], \\\"warnings\\\": [], \\\"selection_required\\\": True, \\\"provider_lookup_attempted\\\": False})\\n   168|    warnings = [str(w) for w in search_state.get(\\\"warnings\\\", [])]\\n   169|    if warnings:\\n   170|        st.warning(\\\"; \\\".join(warnings))\\n   171|    results = list(search_state.get(\\\"results\\\", []))\\n   172|    if results:\\n   173|        for label, predicate in [\\n   174|            (\\\"Lokale Treffer\\\", lambda row: \\\"local\\\" in str(row.get(\\\"data_source\\\", \\\"\\\")).lower()),\\n   175|            (\\\"OpenFIGI Treffer\\\", lambda row: \\\"openfigi\\\" in str(row.get(\\\"data_source\\\", \\\"\\\")).lower()),\\n   176|            (\\\"FMP Treffer\\\", lambda row: \\\"fmp\\\" in str(row.get(\\\"data_source\\\", \\\"\\\")).lower()),\\n   177|        ]:\\n   178|            grouped = [row for row in results if predicate(row)]\\n   179|            st.caption(f\\\"{label}: {len(grouped)}\\\")\\n   180|            if grouped:\\n   181|                show_table(st, _search_rows(grouped))\\n   182|        other = [row for row in results if not any(token in str(row.get(\\\"data_source\\\", \\\"\\\")).lower() for token in (\\\"local\\\", \\\"openfigi\\\", \\\"fmp\\\"))]\\n   183|        if other:\\n   184|            st.caption(f\\\"Weitere Treffer: {len(other)}\\\")\\n   185|            show_table(st, _search_rows(other))\\n   186|        st.caption(\\\"Manuell anlegen: verfügbar, falls lokale/Online-Treffer nicht eindeutig passen.\\\")\\n   187|    else:\\n   188|        show_table(st, [], empty_message=\\\"Noch keine Suche ausgeführt oder kein Treffer. Nutze 'Lokal suchen', 'Online suchen' oder 'Manuell anlegen'.\\\")\\n   189|\\n   190|    st.subheader(\\\"3. Instrument auswählen\\\")\\n   191|    selected = None\\n   192|    labels = [f\\\"{i + 1}. {r.get('name')} | {r.get('isin') or 'ISIN fehlt'} | {r.get('ticker') or 'Ticker fehlt'} | {r.get('exchange') or 'Exchange fehlt'} | {r.get('currency') or 'Währung fehlt'} | {r.get('trust_status', 'Manuell prüfen')}\\\" for i, r in enumerate(results)]\\n   193|    if labels:\\n   194|        chosen = st.selectbox(\\\"Treffer auswählen\\\", labels, key=\\\"position_add_selected_label\\\")\\n   195|        chosen_index = int(chosen.split('.', 1)[0]) - 1 if chosen else 0\\n   196|        if st.button(\\\"Auswählen\\\", key=\\\"position_add_select_result\\\"):\\n   197|            st.session_state[\\\"position_add_selected_index\\\"] = chosen_index\\n   198|        selected_index = st.session_state.get(\\\"position_add_selected_index\\\", chosen_index)\\n   199|        if 0 <= int(selected_index) < len(results):\\n   200|            selected = results[int(selected_index)]\\n   201|            st.success(\\\"Instrument ausgewählt. Ticker allein wird nie automatisch übernommen; die Auswahl bleibt bewusst.\\\")\\n   202|            show_table(st, [_search_rows([selected])[0]])\\n   203|            st.subheader(\\\"Preisvorschau\\\")\\n   204|            preview = _price_preview(selected)\\n   205|            if preview == \\\"Preis noch nicht verfügbar\\\":\\n   206|                st.info(preview)\\n   207|            else:\\n   208|                st.success(preview)\\n   209|    else:\\n   210|        st.info(\\\"Noch kein Instrument ausgewählt.\\\")\\n   211|\\n   212|    with st.expander(\\\"Manuell anlegen\\\"):\\n   213|        manual_name = st.text_input(\\\"Name\\\", key=\\\"position_add_manual_name\\\")\\n   214|        manual_isin = st.text_input(\\\"ISIN stark empfohlen\\\", key=\\\"position_add_manual_isin\\\")\\n   215|        manual_ticker = st.text_input(\\\"Ticker\\\", key=\\\"position_add_manual_ticker\\\")\\n   216|        manual_exchange = st.text_input(\\\"Exchange\\\", key=\\\"position_add_manual_exchange\\\")\\n   217|        manual_currency = st.selectbox(\\\"Währung\\\", [\\\"CHF\\\", \\\"EUR\\\", \\\"USD\\\"], key=\\\"position_add_manual_currency\\\")\\n   218|        manual_note = st.text_area(\\\"Notiz / Quelle\\\", key=\\\"position_add_manual_note\\\")\\n   219|        st.warning(\\\"Manuelle Anlage ohne ISIN bleibt prüfpflichtig. ISIN und Ticker dürfen nicht beide leer sein.\\\")\\n   220|        if st.button(\\\"Manuell anlegen\\\", key=\\\"position_add_manual_save\\\"):\\n   221|            try:\\n   222|                if not manual_isin and not manual_ticker:\\n   223|                    raise ValueError(\\\"ISIN oder Ticker ist erforderlich\\\")\\n   224|                manual_asset_class = asset_class or \\\"stock\\\"\\n   225|                create_manual_catalog_entry(conn, asset_class=manual_asset_class, name=manual_name, currency=manual_currency, isin=manual_isin, ticker=manual_ticker, exchange=manual_exchange, note=manual_note)\\n   226|                st.success(\\\"Instrument lokal gespeichert. Jetzt lokal suchen und bewusst auswählen.\\\")\\n   227|            except Exception as exc:\\n   228|                st.error(f\\\"Manuelle Anlage abgelehnt: {exc}\\\")\\n   229|\\n   230|    st.subheader(\\\"4. Position erfassen\\\")\\n   231|    account_label = st.selectbox(\\\"Plattform/Depot\\\", account_labels, key=\\\"position_add_account\\\") if account_labels else None\\n   232|    transaction_type = st.selectbox(\\\"Transaktionstyp\\\", [\\\"Initial Snapshot\\\", \\\"Kauf\\\", \\\"Dividende / Ausschüttung\\\", \\\"Manuelle Korrektur\\\"], key=\\\"position_add_tx_type\\\")\\n   233|    tx_map = {\\\"Initial Snapshot\\\": \\\"initial_snapshot\\\", \\\"Kauf\\\": \\\"buy\\\", \\\"Dividende / Ausschüttung\\\": \\\"dividend\\\", \\\"Manuelle Korrektur\\\": \\\"manual_adjustment\\\"}\\n   234|    quantity = st.text_input(\\\"Menge als Decimal-Text\\\", key=\\\"position_add_quantity\\\")\\n   235|    trade_date = st.date_input(\\\"Snapshot-/Buchungsdatum\\\", key=\\\"position_add_date\\\")\\n   236|    default_currency = selected.get(\\\"currency\\\") if selected else \\\"CHF\\\"\\n   237|    currencies = [\\\"CHF\\\", \\\"EUR\\\", \\\"USD\\\"]\\n   238|    currency = st.selectbox(\\\"Originalwährung\\\", currencies, index=currencies.index(default_currency) if default_currency in currencies else 0, key=\\\"position_add_pos_currency\\\")\\n   239|    cost_basis = st.text_input(\\\"Einstand / Cost Basis optional\\\", key=\\\"position_add_cost_basis\\\")\\n   240|    fees = st.text_input(\\\"Gebühren optional\\\", key=\\\"position_add_fees\\\")\\n   241|    fx_status = \\\"not_needed\\\" if currency == \\\"CHF\\\" else \\\"ok\\\"\\n   242|    fx_rate = \\\"\\\"\\n   243|    fx_source = \\\"\\\"\\n   244|    fx_label = \\\"Nicht nötig — CHF\\\" if currency == \\\"CHF\\\" else \\\"Automatisch aus Cache/Provider holen\\\"\\n   245|    if currency == \\\"CHF\\\":\\n   246|        st.caption(\\\"FX: Nicht nötig — CHF wird direkt mit Kurs 1 gespeichert.\\\")\\n   247|    else:\\n   248|        st.caption(\\\"FX: Zuerst lokaler Cache, dann Frankfurter, danach Twelve Data falls ein Key vorhanden ist. Keine Live-Abfrage beim Seitenladen — erst beim Speichern.\\\")\\n   249|        fx_handling = st.radio(\\n   250|            \\\"FX-Behandlung\\\",\\n   251|            [\\\"Automatisch aus Cache/Provider holen\\\", \\\"FX manuell eingeben\\\", \\\"Ohne FX speichern – Bewertung unvollständig\\\"],\\n   252|            key=\\\"position_add_fx_handling\\\",\\n   253|        )\\n   254|        fx_label = fx_handling\\n   255|        if fx_handling == \\\"FX manuell eingeben\\\":\\n   256|            fx_status = \\\"manual_override\\\"\\n   257|            fx_rate = st.text_input(\\\"Manueller FX-Kurs zu CHF\\\", key=\\\"position_add_fx_rate\\\")\\n   258|            fx_source = st.text_input(\\\"Quelle/Notiz für manuellen FX-Kurs\\\", key=\\\"position_add_fx_source\\\")\\n   259|        elif fx_handling == \\\"Ohne FX speichern – Bewertung unvollständig\\\":\\n   260|            fx_status = \\\"missing\\\"\\n   261|            st.warning(\\\"Die Position wird gespeichert, aber die CHF-Bewertung bleibt unvollständig bis ein FX-Kurs nachgetragen wird.\\\")\\n   262|    category = st.selectbox(\\\"Kategorie\\\", [\\\"Core\\\", \\\"Opportunity\\\", \\\"Unknown\\\"], key=\\\"position_add_category\\\")\\n   263|    note = st.text_area(\\\"Notiz — Pflicht bei manueller Korrektur oder unvollständiger Historie\\\", key=\\\"position_add_note\\\")\\n   264|\\n   265|    st.subheader(\\\"5. Review\\\")\\n   266|    missing = _quality_warnings(selected=selected, quantity=quantity, account_label=account_label, cost_basis=cost_basis, currency=currency, fx_status=fx_status, fx_rate=fx_rate, note=note, transaction_type=transaction_type)\\n   267|    review = {\\n   268|        \\\"Was wird gespeichert?\\\": transaction_type,\\n   269|        \\\"Instrument\\\": selected.get(\\\"name\\\") if selected else \\\"noch nicht ausgewählt\\\",\\n   270|        \\\"ISIN\\\": selected.get(\\\"isin\\\") if selected else \\\"\\\",\\n   271|        \\\"Ticker\\\": selected.get(\\\"ticker\\\") if selected else \\\"\\\",\\n   272|        \\\"Exchange\\\": selected.get(\\\"exchange\\\") if selected else \\\"\\\",\\n   273|        \\\"Datenquelle\\\": selected.get(\\\"data_source\\\") if selected else \\\"\\\",\\n   274|        \\\"Depot\\\": account_label or \\\"fehlt\\\",\\n   275|        \\\"Menge\\\": quantity or \\\"fehlt\\\",\\n   276|        \\\"Datum\\\": str(trade_date),\\n   277|        \\\"Kategorie\\\": category,\\n   278|        \\\"Cost Basis\\\": \\\"erfasst\\\" if cost_basis else \\\"fehlt/ungewiss\\\",\\n   279|        \\\"Gebühren\\\": \\\"notiert\\\" if fees else \\\"keine/fehlt\\\",\\n   280|        \\\"FX\\\": fx_label,\\n   281|        \\\"Datenqualitätswarnungen\\\": \\\"; \\\".join(missing) if missing else \\\"keine\\\",\\n   282|    }\\n   283|    st.write(review)\\n   284|    if missing:\\n   285|        st.warning(\\\"Review-Hinweise: \\\" + \\\"; \\\".join(missing))\\n   286|    confirmed = st.checkbox(\\\"Ich bestätige diese Buchung.\\\", key=\\\"position_add_confirm\\\")\\n   287|\\n   288|    st.subheader(\\\"6. Speichern\\\")\\n   289|    selected_account = _selected(options[\\\"accounts\\\"], account_label, _account_label)\\n   290|    if st.button(\\\"Position speichern\\\", key=\\\"position_add_save\\\", type=\\\"primary\\\"):\\n   291|        try:\\n   292|            if not selected or not selected.get(\\\"catalog_entry_id\\\"):\\n   293|                raise ValueError(\\\"Instrument muss vor Speicherung ausgewählt werden\\\")\\n   294|            if not selected_account:\\n   295|                raise ValueError(\\\"Depot/Konto ist erforderlich\\\")\\n   296|            final_note = note if not fees else f\\\"{note}\\\\nGebühren notiert: {fees}\\\".strip()\\n   297|            result = add_manual_position_from_catalog(\\n   298|                conn,\\n   299|                catalog_entry_id=selected[\\\"catalog_entry_id\\\"],\\n   300|                account_id=selected_account[\\\"account_id\\\"],\\n   301|                position_type=tx_map[transaction_type],\\n   302|                quantity_text=quantity,\\n   303|                trade_date=str(trade_date),\\n   304|                currency=currency,\\n   305|                cost_basis_original_text=cost_basis or None,\\n   306|                fx_status=fx_status,\\n   307|                fx_rate_to_chf_text=fx_rate or None,\\n   308|                fx_source=fx_source or None,\\n   309|                note=final_note,\\n   310|                category=category,\\n   311|                confirm=bool(confirmed),\\n   312|            )\\n   313|            st.success(\\\"Position gespeichert: Ledger-Ereignis und Audit-Log wurden erzeugt.\\\")\\n   314|            st.info(\\\"Position in Aktien & ETFs anzeigen: öffne im User Mode die Seite 'Aktien & ETFs'.\\\")\\n   315|            if result.warnings:\\n   316|                st.warning(\\\"Datenqualität: \\\" + \\\"; \\\".join(result.warnings))\\n   317|        except Exception as exc:\\n   318|            st.error(f\\\"Speicherung abgelehnt: {exc}\\\")\\n   319|\", \"total_lines\": 318, \"file_size\": 18033, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_aml6tkrEwIgz5vL7UMobNDjP"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
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          "id": "rs_09e162d360478131016a0871eee0dc81919f549a47f7fea635",
          "summary": []
        }
      ],
      "tool_calls": [
        {
          "id": "call_oCLpsEAHpic22S2ReVkbqxiM",
          "call_id": "call_oCLpsEAHpic22S2ReVkbqxiM",
          "response_item_id": "fc_09e162d360478131016a0871f810648191bb9d06507acd376b",
          "type": "function",
          "function": {
            "name": "read_file",
            "arguments": "{\"limit\":280,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/cash.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "read_file",
      "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|\\n    12|@dataclass\\n    13|class CashBalance:\\n    14|    account_id: str\\n    15|    currency: str\\n    16|    amount_original: Decimal = Decimal(\\\"0\\\")\\n    17|    amount_chf: Decimal | None = Decimal(\\\"0\\\")\\n    18|    quality_status: str = \\\"ok\\\"\\n    19|\\n    20|\\n    21|@dataclass\\n    22|class CashCalculationResult:\\n    23|    balances: dict[tuple[str, str], CashBalance] = field(default_factory=dict)\\n    24|    negative_cash_warnings: list[str] = field(default_factory=list)\\n    25|\\n    26|\\n    27|def _d(value: object, default: str = \\\"0\\\") -> Decimal:\\n    28|    if value is None or str(value).strip() == \\\"\\\":\\n    29|        return Decimal(default)\\n    30|    return Decimal(str(value))\\n    31|\\n    32|\\n    33|def _signed_cash_delta(row) -> tuple[Decimal, Decimal | None]:\\n    34|    t = row[\\\"transaction_type\\\"]\\n    35|    gross = _d(row[\\\"gross_amount_original\\\"])\\n    36|    net = _d(row[\\\"net_amount_original\\\"]) if row[\\\"net_amount_original\\\"] is not None else None\\n    37|    fee = _d(row[\\\"fee_original\\\"])\\n    38|    tax = _d(row[\\\"tax_original\\\"])\\n    39|    fx = _d(row[\\\"fx_rate_to_chf\\\"], \\\"1\\\") if row[\\\"fx_rate_to_chf\\\"] is not None else None\\n    40|\\n    41|    if t == \\\"initial_cash_snapshot\\\":\\n    42|        original = net if net is not None else gross\\n    43|    elif t == \\\"cash_deposit\\\":\\n    44|        original = net if net is not None else gross\\n    45|    elif t == \\\"cash_withdrawal\\\":\\n    46|        original = -(net if net is not None else gross)\\n    47|    elif t == \\\"buy\\\":\\n    48|        original = -(net if net is not None else gross + fee + tax)\\n    49|    elif t in {\\\"partial_sell\\\", \\\"full_sell\\\"}:\\n    50|        original = net if net is not None else gross - fee - tax\\n    51|    elif t in {\\\"dividend\\\", \\\"etf_distribution\\\"}:\\n    52|        original = net if net is not None else gross - tax - fee\\n    53|    elif t in {\\\"fee\\\", \\\"tax\\\"}:\\n    54|        original = -(net if net is not None else gross or fee or tax)\\n    55|    elif t == \\\"fx_conversion\\\":\\n    56|        original = net if net is not None else gross\\n    57|    elif t == \\\"manual_cash_correction\\\":\\n    58|        original = net if net is not None else gross\\n    59|    else:\\n    60|        original = Decimal(\\\"0\\\")\\n    61|    chf = original * fx if fx is not None else None\\n    62|    return original, chf\\n    63|\\n    64|\\n    65|def calculate_cash_balances(conn: Connection, *, as_of_date: str | None = None) -> CashCalculationResult:\\n    66|    result = CashCalculationResult()\\n    67|    params: tuple[object, ...] = ()\\n    68|    where = \\\"WHERE COALESCE(is_voided, 0) = 0\\\"\\n    69|    if as_of_date:\\n    70|        where += \\\" AND trade_date <= ?\\\"\\n    71|        params = (as_of_date,)\\n    72|    rows = conn.execute(\\n    73|        f\\\"\\\"\\\"\\n    74|        SELECT * FROM transactions\\n    75|        {where}\\n    76|        ORDER BY account_id, currency_original, trade_date, created_at, transaction_id\\n    77|        \\\"\\\"\\\",\\n    78|        params,\\n    79|    ).fetchall()\\n    80|    for row in rows:\\n    81|        account_id = row[\\\"account_id\\\"]\\n    82|        currency = row[\\\"currency_original\\\"]\\n    83|        key = (account_id, currency)\\n    84|        balance = result.balances.setdefault(key, CashBalance(account_id, currency))\\n    85|        original, chf = _signed_cash_delta(row)\\n    86|        balance.amount_original += original\\n    87|        if chf is None:\\n    88|            balance.amount_chf = None\\n    89|            balance.quality_status = \\\"incomplete\\\"\\n    90|        elif balance.amount_chf is not None:\\n    91|            balance.amount_chf += chf\\n    92|    for key, balance in result.balances.items():\\n    93|        if balance.amount_original < 0:\\n    94|            msg = f\\\"Negative cash balance for account={balance.account_id} currency={balance.currency}: {balance.amount_original}\\\"\\n    95|            result.negative_cash_warnings.append(msg)\\n    96|            create_alert(\\n    97|                conn,\\n    98|                priority=\\\"warnung\\\",\\n    99|                category=\\\"cash\\\",\\n   100|                entity_type=\\\"account\\\",\\n   101|                entity_id=balance.account_id,\\n   102|                rule_id=\\\"negative_cash\\\",\\n   103|                message=msg,\\n   104|                evidence={\\\"currency\\\": balance.currency, \\\"amount_original\\\": str(balance.amount_original)},\\n   105|            )\\n   106|    conn.commit()\\n   107|    return result\\n   108|\\n   109|\\n   110|def apply_manual_cash_correction(\\n   111|    conn: Connection,\\n   112|    *,\\n   113|    account_id: str,\\n   114|    currency: str,\\n   115|    amount: Decimal,\\n   116|    note: str,\\n   117|    trade_date: str | None = None,\\n   118|) -> str:\\n   119|    if not note.strip():\\n   120|        raise ValueError(\\\"manual cash correction requires a note\\\")\\n   121|    now = utc_now()\\n   122|    trade_date = trade_date or now[:10]\\n   123|    transaction_id = stable_id(\\\"cashcorr\\\", account_id, currency, trade_date, amount, note)\\n   124|    fx_rate = Decimal(\\\"1\\\") if currency.upper() == \\\"CHF\\\" else None\\n   125|    conn.execute(\\n   126|        \\\"\\\"\\\"\\n   127|        INSERT INTO transactions(\\n   128|            transaction_id, transaction_type, account_id, trade_date, gross_amount_original,\\n   129|            net_amount_original, currency_original, fx_rate_to_chf, fx_status,\\n   130|            gross_amount_chf, net_amount_chf, source_type, is_confirmed,\\n   131|            quality_status, notes, created_at\\n   132|        ) VALUES (?, 'manual_cash_correction', ?, ?, ?, ?, ?, ?, ?, ?, ?, 'manual', 1, ?, ?, ?)\\n   133|        \\\"\\\"\\\",\\n   134|        (\\n   135|            transaction_id, account_id, trade_date, str(amount), str(amount), currency.upper(),\\n   136|            str(fx_rate) if fx_rate is not None else None,\\n   137|            \\\"ok\\\" if fx_rate is not None else \\\"missing\\\",\\n   138|            str(amount * fx_rate) if fx_rate is not None else None,\\n   139|            str(amount * fx_rate) if fx_rate is not None else None,\\n   140|            \\\"ok\\\" if fx_rate is not None else \\\"incomplete\\\",\\n   141|            note,\\n   142|            now,\\n   143|        ),\\n   144|    )\\n   145|    audit_id = record_audit_event(\\n   146|        conn,\\n   147|        source=\\\"manual_cash_correction\\\",\\n   148|        action=\\\"manual_cash_correction\\\",\\n   149|        entity_type=\\\"transaction\\\",\\n   150|        entity_id=transaction_id,\\n   151|        new_values={\\\"account_id\\\": account_id, \\\"currency\\\": currency.upper(), \\\"amount\\\": str(amount)},\\n   152|        user_text_note=note,\\n   153|        confirmed=True,\\n   154|        created_by=\\\"system\\\",\\n   155|    )\\n   156|    conn.commit()\\n   157|    return audit_id\\n   158|\", \"total_lines\": 157, \"file_size\": 5827, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_oCLpsEAHpic22S2ReVkbqxiM"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Planning iterative tests**\n\nI need to run tests iteratively, which means I'll be working on them in a step-by-step manner. It’s essential for me to keep track of the results and make adjustments based on the findings. I'll start by writing page_03 and then checking its performance. I just want to ensure everything flows smoothly and works together as intended. Let’s get this done effectively!",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Planning iterative tests**\n\nI need to run tests iteratively, which means I'll be working on them in a step-by-step manner. It’s essential for me to keep track of the results and make adjustments based on the findings. I'll start by writing page_03 and then checking its performance. I just want to ensure everything flows smoothly and works together as intended. Let’s get this done effectively!",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqCHH9BricTv4GKkQkSNV9MHTvhI4atqtzhRuJvuMsI0OmsypUW7uGzku7F_7x09MHAJRgEY3PtX18YPJOeQYM-WXV8fGdhFC-QryTFYlvAZrYhkaJaGLPbtw1uyGxwlSONtQ0wUF7Fi0UrGQHX3h1i7G51ISVud5zUkgnn3bkJRn00O55xgsygfmG5rTrYlPJCIh_ka_vg30jpLvvH69S5wSDwWHiAMxWQoUVJFjYMddqDY769GiBVitta2vuhl_BsFfGP_ANrPg8UBl4atHciIJxVcxpKQnoey2Lh1T0o3l-BYSO83gaN8CHmYJb0YE8cLz1AUR4qQBIqxpRtEwCqLrHw7RebRmXJusmk3MD1h12VCGTbjkgzuQHr4MFXIg9ixqKB_WJdZ9bkfZEcNInlh3prpFSfe-g5eVcN6O3OmFxjHOP18Vw2LPOJnXLco4ciD_hiv2Y_GHdaoEobsVq9KZ9oJI5nFdEJo-3x1EHwebNOQe4xNODZDgDJCCvRWdlHKw8g9U2Gp76MIZe3DGbObP2llpM7ha-Y12BUn-8aU36cy7jZUFO3sv-VMXjuPUF6LRXQlm5SA0l2-PRNVSm-Ow0FX8KAZtJofqY6IcJqWHYKK4GyXIRHSQkeeov1MHA1yMtNuTjKYoqyKdF2nBy-ZBF08r5Mkwz-tPZSHphvVB81LaqAVAYCgBfUajBl7HhUiaVksOCNqpjeUX-5Gq9tUbz_SHflTw4w7LhYkaN_wF8mtUlhWXzyFdpe1TqCcAiilGfGjcBYRMBxK7WpmowGew8a9AD6iFWM2_kIibGDghGs8PyonVHBdWqPoNCMf7OJWxYyDCIo_bzs98hE7QxZWBE4F35jAloeXo7XFOPyKmVgJjckvMrqnL94wybxRtW2AYkK428dn4HTD3gLVptVm_eP1IKnYxHarZ06_72rrJ04pMenj-nXV6xIA0QPFe5MNUu-bwQUbs13m7lQGKUCGtVlQ==",
          "id": "rs_07fc6a24f20f113b016a0871fc1c1081918e4d353e3005abc6",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Planning iterative tests**\n\nI need to run tests iteratively, which means I'll be working on them in a step-by-step manner. It’s essential for me to keep track of the results and make adjustments based on the findings. I'll start by writing page_03 and then checking its performance. I just want to ensure everything flows smoothly and works together as intended. Let’s get this done effectively!"
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_9ubIRelIkBUcJ7yB5maUF0O7",
          "call_id": "call_9ubIRelIkBUcJ7yB5maUF0O7",
          "response_item_id": "fc_07fc6a24f20f113b016a0871fde7048191837ebdd7cfe03d5d",
          "type": "function",
          "function": {
            "name": "write_file",
            "arguments": "{\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/views/page_03_equities_etfs.py\",\"content\":\"from __future__ import annotations\\n\\nfrom decimal import Decimal\\n\\nfrom jarvis_finance.dashboard.actions import action_button, edit_mode_enabled, read_only_hint\\nfrom jarvis_finance.dashboard.components.tables import show_table\\nfrom jarvis_finance.dashboard import data\\nfrom jarvis_finance.equity.manage import add_equity_transaction\\nfrom jarvis_finance.market_data.prices import equity_price_provider_by_name, refresh_market_prices\\n\\nPAGE_TITLE = \\\"Portfolio\\\"\\n\\n\\ndef _go_to_add_position(st) -> None:\\n    if hasattr(st, \\\"session_state\\\"):\\n        st.session_state[\\\"jarvis_requested_page\\\"] = \\\"Position hinzufügen\\\"\\n\\n\\ndef _equity_rows(conn) -> list[dict]:\\n    return [\\n        r for r in data.get_positions(conn)\\n        if str(r.get(\\\"asset_class\\\", \\\"\\\")).lower() in {\\\"stock\\\", \\\"equity\\\", \\\"etf\\\"}\\n        and data.d(r.get(\\\"quantity\\\")) != 0\\n        and str(r.get(\\\"instrument_status\\\", \\\"\\\")).lower() != \\\"inactive\\\"\\n    ]\\n\\n\\ndef _cash_rows(conn) -> list[dict]:\\n    rows: list[dict] = []\\n    for row in data.get_cash_overview(conn):\\n        if data.d(row.get(\\\"amount_original\\\")) == 0:\\n            continue\\n        key = f\\\"cash::{row.get('platform','')}::{row.get('account_name','')}::{row.get('currency','')}\\\"\\n        rows.append({\\n            \\\"_kind\\\": \\\"cash\\\",\\n            \\\"_key\\\": key,\\n            \\\"account_id\\\": row.get(\\\"account_id\\\", \\\"\\\"),\\n            \\\"instrument_id\\\": \\\"\\\",\\n            \\\"platform\\\": row.get(\\\"platform\\\", \\\"\\\"),\\n            \\\"account_name\\\": row.get(\\\"account_name\\\", \\\"\\\"),\\n            \\\"asset_class\\\": \\\"cash\\\",\\n            \\\"name\\\": row.get(\\\"account_name\\\") or row.get(\\\"platform\\\") or \\\"Cash\\\",\\n            \\\"ticker\\\": \\\"\\\",\\n            \\\"isin\\\": \\\"\\\",\\n            \\\"quantity\\\": row.get(\\\"amount_original\\\", \\\"\\\"),\\n            \\\"currency\\\": row.get(\\\"currency\\\", \\\"\\\"),\\n            \\\"market_price_original\\\": \\\"1\\\" if row.get(\\\"currency\\\") == \\\"CHF\\\" else \\\"\\\",\\n            \\\"price_currency\\\": row.get(\\\"currency\\\", \\\"\\\"),\\n            \\\"price_date\\\": \\\"\\\",\\n            \\\"price_provider\\\": \\\"cash ledger\\\",\\n            \\\"market_value_chf\\\": row.get(\\\"amount_chf\\\", \\\"\\\"),\\n            \\\"price_status\\\": \\\"ok\\\" if row.get(\\\"amount_chf\\\") else \\\"missing_fx\\\",\\n            \\\"fx_status\\\": \\\"ok\\\" if row.get(\\\"amount_chf\\\") else \\\"missing_fx\\\",\\n            \\\"cost_basis_chf\\\": \\\"\\\",\\n            \\\"quality_warnings\\\": \\\"\\\" if row.get(\\\"amount_chf\\\") else \\\"missing_fx\\\",\\n            \\\"data_quality_status\\\": row.get(\\\"quality_status\\\", \\\"\\\"),\\n        })\\n    return rows\\n\\n\\ndef _portfolio_rows(conn) -> list[dict]:\\n    rows: list[dict] = []\\n    for row in _cash_rows(conn):\\n        rows.append(row)\\n    for row in _equity_rows(conn):\\n        item = dict(row)\\n        item[\\\"_kind\\\"] = \\\"position\\\"\\n        item[\\\"_key\\\"] = f\\\"position::{row.get('account_id')}::{row.get('instrument_id')}\\\"\\n        rows.append(item)\\n    return rows\\n\\n\\ndef _asset_type(row: dict) -> str:\\n    asset = str(row.get(\\\"asset_class\\\", \\\"\\\")).lower()\\n    if asset == \\\"cash\\\":\\n        return \\\"Cash\\\"\\n    return \\\"ETF\\\" if asset == \\\"etf\\\" else \\\"Aktie\\\"\\n\\n\\ndef _status(row: dict) -> str:\\n    if _asset_type(row) == \\\"Cash\\\":\\n        return \\\"Bewertet\\\" if row.get(\\\"market_value_chf\\\") else \\\"FX fehlt\\\"\\n    warnings = set(str(row.get(\\\"quality_warnings\\\") or \\\"\\\").split(\\\",\\\"))\\n    if not row.get(\\\"market_price_original\\\"):\\n        return \\\"Preis fehlt\\\"\\n    if \\\"missing_fx\\\" in warnings or row.get(\\\"fx_status\\\") == \\\"missing_fx\\\" or (row.get(\\\"price_currency\\\") not in {\\\"\\\", \\\"CHF\\\"} and not row.get(\\\"market_value_chf\\\")):\\n        return \\\"FX fehlt\\\"\\n    if \\\"cost_basis_uncertain\\\" in warnings or not row.get(\\\"cost_basis_chf\\\"):\\n        return \\\"Einstand unvollständig\\\"\\n    if row.get(\\\"market_value_chf\\\"):\\n        return \\\"Bewertet\\\"\\n    return \\\"Unvollständig\\\"\\n\\n\\ndef _market_value(row: dict) -> str:\\n    return data.chf_text(row.get(\\\"market_value_chf\\\")) if row.get(\\\"market_value_chf\\\") else \\\"nicht vollständig bewertet\\\"\\n\\n\\ndef _price(row: dict) -> str:\\n    if _asset_type(row) == \\\"Cash\\\":\\n        return \\\"1\\\" if row.get(\\\"currency\\\") == \\\"CHF\\\" else \\\"FX offen\\\"\\n    return row.get(\\\"market_price_original\\\") or \\\"Preis fehlt\\\"\\n\\n\\ndef _table_row(row: dict) -> dict[str, str]:\\n    return {\\n        \\\"Name\\\": row.get(\\\"name\\\", \\\"\\\"),\\n        \\\"Ticker\\\": row.get(\\\"ticker\\\", \\\"\\\"),\\n        \\\"ISIN\\\": row.get(\\\"isin\\\", \\\"\\\"),\\n        \\\"Depot\\\": row.get(\\\"platform\\\") or row.get(\\\"account_name\\\", \\\"\\\"),\\n        \\\"Assettyp\\\": _asset_type(row),\\n        \\\"Menge/Betrag\\\": row.get(\\\"quantity\\\", \\\"\\\"),\\n        \\\"Währung\\\": row.get(\\\"currency\\\") or row.get(\\\"price_currency\\\") or \\\"\\\",\\n        \\\"Kurs\\\": _price(row),\\n        \\\"Marktwert CHF\\\": _market_value(row),\\n        \\\"Status\\\": _status(row),\\n    }\\n\\n\\ndef _sort_key(label: str):\\n    if label == \\\"Marktwert CHF absteigend\\\":\\n        return lambda r: (data.d(r.get(\\\"market_value_chf\\\")), r.get(\\\"name\\\", \\\"\\\").lower())\\n    if label == \\\"Name A–Z\\\":\\n        return lambda r: r.get(\\\"name\\\", \\\"\\\").lower()\\n    if label == \\\"Depot\\\":\\n        return lambda r: (r.get(\\\"platform\\\", \\\"\\\"), r.get(\\\"account_name\\\", \\\"\\\"), r.get(\\\"name\\\", \\\"\\\"))\\n    if label == \\\"Assettyp\\\":\\n        return lambda r: (_asset_type(r), r.get(\\\"name\\\", \\\"\\\"))\\n    if label == \\\"Status\\\":\\n        return lambda r: (_status(r), r.get(\\\"name\\\", \\\"\\\"))\\n    if label == \\\"Währung\\\":\\n        return lambda r: (r.get(\\\"price_currency\\\") or r.get(\\\"currency\\\") or \\\"\\\", r.get(\\\"name\\\", \\\"\\\"))\\n    return lambda r: r.get(\\\"name\\\", \\\"\\\").lower()\\n\\n\\ndef _summary_numbers(rows: list[dict]) -> dict[str, object]:\\n    cash = sum((data.d(r.get(\\\"market_value_chf\\\")) for r in rows if _asset_type(r) == \\\"Cash\\\" and r.get(\\\"market_value_chf\\\")), Decimal(\\\"0\\\"))\\n    stocks = sum((data.d(r.get(\\\"market_value_chf\\\")) for r in rows if _asset_type(r) == \\\"Aktie\\\" and r.get(\\\"market_value_chf\\\")), Decimal(\\\"0\\\"))\\n    etfs = sum((data.d(r.get(\\\"market_value_chf\\\")) for r in rows if _asset_type(r) == \\\"ETF\\\" and r.get(\\\"market_value_chf\\\")), Decimal(\\\"0\\\"))\\n    missing_price = sum(1 for r in rows if _asset_type(r) != \\\"Cash\\\" and not r.get(\\\"market_price_original\\\"))\\n    missing_fx = sum(1 for r in rows if _status(r) == \\\"FX fehlt\\\")\\n    incomplete_cost = sum(1 for r in rows if _asset_type(r) != \\\"Cash\\\" and (\\\"cost_basis_uncertain\\\" in str(r.get(\\\"quality_warnings\\\") or \\\"\\\") or not r.get(\\\"cost_basis_chf\\\")))\\n    latest_price_update = max((str(r.get(\\\"price_date\\\") or \\\"\\\") for r in rows if _asset_type(r) != \\\"Cash\\\"), default=\\\"\\\") or \\\"kein Preisupdate\\\"\\n    return {\\n        \\\"cash\\\": cash,\\n        \\\"stocks\\\": stocks,\\n        \\\"etfs\\\": etfs,\\n        \\\"total\\\": cash + stocks + etfs,\\n        \\\"missing_price\\\": missing_price,\\n        \\\"missing_fx\\\": missing_fx,\\n        \\\"incomplete_cost\\\": incomplete_cost,\\n        \\\"latest_price_update\\\": latest_price_update,\\n    }\\n\\n\\ndef _summary_cards(st, rows: list[dict]) -> None:\\n    n = _summary_numbers(rows)\\n    c1, c2, c3, c4 = st.columns(4)\\n    c1.metric(\\\"Gesamtwert CHF\\\", data.chf_text(n[\\\"total\\\"]))\\n    c2.metric(\\\"Cash CHF\\\", data.chf_text(n[\\\"cash\\\"]))\\n    c3.metric(\\\"Aktien CHF\\\", data.chf_text(n[\\\"stocks\\\"]) if n[\\\"missing_price\\\"] == 0 and n[\\\"missing_fx\\\"] == 0 else f\\\"{data.chf_text(n['stocks'])} + offen\\\")\\n    c4.metric(\\\"ETFs CHF\\\", data.chf_text(n[\\\"etfs\\\"]) if n[\\\"missing_price\\\"] == 0 and n[\\\"missing_fx\\\"] == 0 else f\\\"{data.chf_text(n['etfs'])} + offen\\\")\\n    c5, c6, c7, c8 = st.columns(4)\\n    c5.metric(\\\"Ohne Preis\\\", str(n[\\\"missing_price\\\"]))\\n    c6.metric(\\\"Ohne FX\\\", str(n[\\\"missing_fx\\\"]))\\n    c7.metric(\\\"Einstand offen\\\", str(n[\\\"incomplete_cost\\\"]))\\n    c8.metric(\\\"Letztes Preisupdate\\\", str(n[\\\"latest_price_update\\\"]))\\n\\n\\ndef _provider_summary(rows: list[dict]) -> list[dict[str, str]]:\\n    out: list[dict[str, str]] = []\\n    groups = sorted({r.get(\\\"platform\\\") or r.get(\\\"account_name\\\") or \\\"Anderes Konto\\\" for r in rows})\\n    for group in groups:\\n        group_rows = [r for r in rows if (r.get(\\\"platform\\\") or r.get(\\\"account_name\\\") or \\\"Anderes Konto\\\") == group]\\n        nums = _summary_numbers(group_rows)\\n        out.append({\\n            \\\"Anbieter/Depot\\\": group,\\n            \\\"Cash CHF\\\": data.chf_text(nums[\\\"cash\\\"]),\\n            \\\"Aktien CHF\\\": data.chf_text(nums[\\\"stocks\\\"]) if nums[\\\"missing_price\\\"] == 0 and nums[\\\"missing_fx\\\"] == 0 else \\\"nicht vollständig bewertet\\\",\\n            \\\"ETFs CHF\\\": data.chf_text(nums[\\\"etfs\\\"]) if nums[\\\"missing_price\\\"] == 0 and nums[\\\"missing_fx\\\"] == 0 else \\\"nicht vollständig bewertet\\\",\\n            \\\"Gesamtwert Anbieter CHF\\\": data.chf_text(nums[\\\"total\\\"]) if nums[\\\"missing_price\\\"] == 0 and nums[\\\"missing_fx\\\"] == 0 else f\\\"{data.chf_text(nums['total'])} + offen\\\",\\n            \\\"Positionen\\\": str(len(group_rows)),\\n            \\\"Unbewertet\\\": str(nums[\\\"missing_price\\\"] + nums[\\\"missing_fx\\\"]),\\n        })\\n    return out\\n\\n\\ndef _asset_summary(rows: list[dict]) -> list[dict[str, str]]:\\n    out: list[dict[str, str]] = []\\n    for label in [\\\"Cash\\\", \\\"Aktie\\\", \\\"ETF\\\"]:\\n        group_rows = [r for r in rows if _asset_type(r) == label]\\n        if not group_rows:\\n            continue\\n        nums = _summary_numbers(group_rows)\\n        value = nums[\\\"cash\\\"] if label == \\\"Cash\\\" else nums[\\\"stocks\\\"] if label == \\\"Aktie\\\" else nums[\\\"etfs\\\"]\\n        out.append({\\n            \\\"Assettyp\\\": \\\"Aktien\\\" if label == \\\"Aktie\\\" else \\\"ETFs\\\" if label == \\\"ETF\\\" else \\\"Cash\\\",\\n            \\\"Gesamt CHF\\\": data.chf_text(value) if nums[\\\"missing_price\\\"] == 0 and nums[\\\"missing_fx\\\"] == 0 else \\\"nicht vollständig bewertet\\\",\\n            \\\"Anzahl\\\": str(len(group_rows)),\\n            \\\"Unbewertet\\\": str(nums[\\\"missing_price\\\"] + nums[\\\"missing_fx\\\"]),\\n        })\\n    return out\\n\\n\\ndef _selected_from_dataframe_event(event, rows: list[dict]) -> dict | None:\\n    try:\\n        selected_rows = list(event.selection.rows)  # streamlit >= 1.35\\n    except Exception:\\n        try:\\n            selected_rows = list(event[\\\"selection\\\"][\\\"rows\\\"])\\n        except Exception:\\n            selected_rows = []\\n    if selected_rows:\\n        idx = int(selected_rows[0])\\n        if 0 <= idx < len(rows):\\n            return rows[idx]\\n    return None\\n\\n\\ndef _render_open_buttons(st, rows: list[dict]) -> dict | None:\\n    st.caption(\\\"Fallback falls Zeilenauswahl im Browser nicht greift: Position direkt öffnen.\\\")\\n    selected = None\\n    for idx, row in enumerate(rows):\\n        label = f\\\"Öffnen: {row.get('name','Position')} · {_asset_type(row)} · {row.get('platform') or row.get('account_name','Depot')}\\\"\\n        if st.button(label, key=f\\\"portfolio_open_{idx}_{abs(hash(row.get('_key', idx)))}\\\"):\\n            st.session_state[\\\"portfolio_selected_key\\\"] = row.get(\\\"_key\\\")\\n            selected = row\\n    return selected\\n\\n\\ndef _price_update_message(stock, etf, rows_after: list[dict]) -> str:\\n    checked = stock.total_mappings + etf.total_mappings\\n    updated = stock.updated_count + etf.updated_count\\n    skipped = stock.skipped_count + etf.skipped_count + stock.cached_count + etf.cached_count\\n    providers = \\\"auto: FMP → Twelve Data → Finnhub → Massive\\\"\\n    still_missing = [r.get(\\\"name\\\", \\\"Unbekannte Position\\\") for r in rows_after if _asset_type(r) != \\\"Cash\\\" and not r.get(\\\"market_price_original\\\")]\\n    fx_missing = [r.get(\\\"name\\\", \\\"Unbekannte Position\\\") for r in rows_after if _status(r) == \\\"FX fehlt\\\"]\\n    parts = [\\n        f\\\"Geprüft: {checked} Instrumente\\\",\\n        f\\\"Aktualisiert: {updated}\\\",\\n        f\\\"Übersprungen/Cache: {skipped}\\\",\\n        f\\\"Provider: {providers}\\\",\\n        f\\\"Weiterhin ohne Preis: {len(still_missing)}\\\" + (f\\\" ({', '.join(still_missing[:5])})\\\" if still_missing else \\\"\\\"),\\n        f\\\"FX fehlt: {len(fx_missing)}\\\" + (f\\\" ({', '.join(fx_missing[:5])})\\\" if fx_missing else \\\"\\\"),\\n    ]\\n    warnings = stock.warning_count + etf.warning_count\\n    errors = stock.error_count + etf.error_count\\n    if warnings or errors:\\n        parts.append(f\\\"Hinweise/Fehler: {warnings}/{errors}\\\")\\n    return \\\" · \\\".join(parts)\\n\\n\\ndef _render_detail(st, conn, row: dict) -> None:\\n    st.subheader(\\\"Detailpanel\\\")\\n    detail = {\\n        \\\"Name\\\": row.get(\\\"name\\\", \\\"\\\"),\\n        \\\"Assettyp\\\": _asset_type(row),\\n        \\\"Depot\\\": row.get(\\\"platform\\\") or row.get(\\\"account_name\\\", \\\"\\\"),\\n        \\\"Menge/Betrag\\\": row.get(\\\"quantity\\\", \\\"\\\"),\\n        \\\"Währung\\\": row.get(\\\"currency\\\", \\\"\\\"),\\n        \\\"Kurs\\\": _price(row),\\n        \\\"Marktwert CHF\\\": _market_value(row),\\n        \\\"Preisstatus\\\": \\\"Nicht nötig\\\" if _asset_type(row) == \\\"Cash\\\" else (\\\"Bewertet\\\" if row.get(\\\"market_price_original\\\") else \\\"Preis fehlt\\\"),\\n        \\\"FX-Status\\\": \\\"Nicht nötig\\\" if row.get(\\\"currency\\\") == \\\"CHF\\\" else (\\\"OK\\\" if _status(row) != \\\"FX fehlt\\\" else \\\"FX fehlt\\\"),\\n        \\\"Einstandsstatus\\\": \\\"Nicht nötig\\\" if _asset_type(row) == \\\"Cash\\\" else (\\\"Einstand unvollständig\\\" if \\\"cost_basis_uncertain\\\" in str(row.get(\\\"quality_warnings\\\") or \\\"\\\") or not row.get(\\\"cost_basis_chf\\\") else \\\"OK\\\"),\\n        \\\"Letzte Aktualisierung\\\": row.get(\\\"price_date\\\") or \\\"kein Preisupdate\\\",\\n        \\\"Audit/Verlauf\\\": \\\"Verlauf über Button anzeigen\\\",\\n    }\\n    st.write(detail)\\n    a, b, c, d, e, f = st.columns(6)\\n    row_key = str(row.get(\\\"_key\\\", \\\"selected\\\")).replace(\\\":\\\", \\\"_\\\")\\n    if action_button(a, \\\"Korrigieren\\\", key=f\\\"portfolio_action_correct_{row_key}\\\", edit_required=True):\\n        st.session_state[\\\"portfolio_active_action\\\"] = \\\"Korrigieren\\\"\\n    if b.button(\\\"Verlauf anzeigen\\\", key=f\\\"portfolio_action_history_{row_key}\\\"):\\n        st.session_state[\\\"portfolio_active_action\\\"] = \\\"Verlauf\\\"\\n    if _asset_type(row) == \\\"Cash\\\":\\n        c.button(\\\"Preis aktualisieren\\\", key=f\\\"portfolio_action_price_{row_key}\\\", disabled=True, help=\\\"Cash braucht keinen Marktpreis; FX wird über Cash-/FX-Workflow gepflegt.\\\")\\n    else:\\n        if c.button(\\\"Preis aktualisieren\\\", key=f\\\"portfolio_action_price_{row_key}\\\"):\\n            stock = refresh_market_prices(conn, provider=equity_price_provider_by_name(\\\"auto\\\"), asset_class=\\\"stock\\\", only_isin=row.get(\\\"isin\\\") or None, only_missing=False)\\n            etf = refresh_market_prices(conn, provider=equity_price_provider_by_name(\\\"auto\\\"), asset_class=\\\"etf\\\", only_isin=row.get(\\\"isin\\\") or None, only_missing=False)\\n            st.success(_price_update_message(stock, etf, _portfolio_rows(conn)))\\n    d.button(\\\"Kaufen\\\", key=f\\\"portfolio_action_buy_{row_key}\\\", disabled=True, help=\\\"MVP: bitte aktuell über Position hinzufügen als Kauf erfassen.\\\")\\n    e.button(\\\"Verkaufen\\\", key=f\\\"portfolio_action_sell_{row_key}\\\", disabled=True, help=\\\"MVP: Verkaufsworkflow noch nicht freigeschaltet.\\\")\\n    f.button(\\\"Dividende/Ausschüttung\\\", key=f\\\"portfolio_action_dividend_{row_key}\\\", disabled=True, help=\\\"MVP: Dividendenworkflow folgt später.\\\")\\n\\n    active = st.session_state.get(\\\"portfolio_active_action\\\", \\\"Details\\\") if hasattr(st, \\\"session_state\\\") else \\\"Details\\\"\\n    if active == \\\"Korrigieren\\\":\\n        if _asset_type(row) == \\\"Cash\\\":\\n            st.info(\\\"Cash-Korrektur bitte über Position hinzufügen → Cash erfassen ausführen, damit sie auditiert wird.\\\")\\n            return\\n        if not edit_mode_enabled(st):\\n            read_only_hint(st)\\n            return\\n        st.markdown(\\\"### Korrigieren — Inline-Formular\\\")\\n        st.caption(\\\"Auditierbare manuelle Korrektur; keine Löschung, keine Admin-Suche nötig.\\\")\\n        qty = st.text_input(\\\"Korrektur-Menge als Decimal\\\", key=f\\\"equity_correct_qty_{row_key}\\\")\\n        gross = st.text_input(\\\"Korrektur-Betrag original\\\", key=f\\\"equity_correct_gross_{row_key}\\\")\\n        note = st.text_area(\\\"Korrektur-Notiz Pflicht\\\", key=f\\\"equity_correct_note_{row_key}\\\")\\n        confirm = st.checkbox(\\\"Ich bestätige die Korrektur.\\\", key=f\\\"equity_correct_confirm_{row_key}\\\")\\n        if st.button(\\\"Korrektur speichern\\\", key=f\\\"equity_correct_save_{row_key}\\\"):\\n            try:\\n                result = add_equity_transaction(conn, account_id=row[\\\"account_id\\\"], instrument_id=row[\\\"instrument_id\\\"], transaction_type=\\\"manual_adjustment\\\", trade_date=str(row.get(\\\"price_date\\\") or \\\"2026-01-01\\\"), quantity_text=qty, gross_amount_original_text=gross or \\\"0\\\", currency=row.get(\\\"currency\\\") or \\\"CHF\\\", note=note, confirm=confirm, fx_status=\\\"not_needed\\\" if (row.get(\\\"currency\\\") or \\\"CHF\\\") == \\\"CHF\\\" else \\\"missing\\\")\\n                st.success(f\\\"Korrektur auditiert: {result.transaction_id}\\\")\\n            except Exception as exc:\\n                st.error(f\\\"Korrektur abgelehnt: {exc}\\\")\\n    elif active == \\\"Verlauf\\\":\\n        st.markdown(\\\"### Verlauf\\\")\\n        if _asset_type(row) == \\\"Cash\\\":\\n            tx = data.rowdicts(conn.execute(\\\"SELECT trade_date, transaction_type, net_amount_original, currency_original, quality_status, notes FROM transactions WHERE account_id=? AND currency_original=? AND COALESCE(is_voided,0)=0 ORDER BY trade_date DESC, created_at DESC LIMIT 50\\\", (row.get(\\\"account_id\\\"), row.get(\\\"currency\\\"))).fetchall())\\n            show_table(st, tx, empty_message=\\\"Kein Cash-Verlauf vorhanden.\\\")\\n        else:\\n            tx = data.rowdicts(conn.execute(\\\"SELECT trade_date, transaction_type, quantity, currency_original, quality_status, notes FROM transactions WHERE account_id=? AND instrument_id=? AND COALESCE(is_voided,0)=0 ORDER BY trade_date DESC, created_at DESC\\\", (row[\\\"account_id\\\"], row[\\\"instrument_id\\\"])).fetchall())\\n            audit = data.rowdicts(conn.execute(\\\"SELECT timestamp, source, action, user_text_note, created_by FROM audit_log WHERE entity_id IN (SELECT transaction_id FROM transactions WHERE account_id=? AND instrument_id=?) ORDER BY timestamp DESC LIMIT 50\\\", (row[\\\"account_id\\\"], row[\\\"instrument_id\\\"])).fetchall())\\n            show_table(st, tx, empty_message=\\\"Kein Transaktionsverlauf vorhanden.\\\")\\n            show_table(st, audit, empty_message=\\\"Kein Audit-Verlauf vorhanden.\\\")\\n    else:\\n        st.info(\\\"Details werden oben im Detailpanel angezeigt.\\\")\\n\\n\\ndef render(st, conn) -> None:\\n    st.title(\\\"Portfolio\\\")\\n    st.caption(\\\"Bedienbare User-Ansicht für Cash, Aktien und ETFs. Keine DOCX-/Review-Rohdaten, keine technischen IDs, keine API-Abfragen beim Laden.\\\")\\n    rows = _portfolio_rows(conn)\\n    _summary_cards(st, rows)\\n\\n    if st.button(\\\"Bewertung aktualisieren\\\", key=\\\"portfolio_refresh_valuation\\\"):\\n        stock = refresh_market_prices(conn, provider=equity_price_provider_by_name(\\\"auto\\\"), asset_class=\\\"stock\\\", only_missing=True)\\n        etf = refresh_market_prices(conn, provider=equity_price_provider_by_name(\\\"auto\\\"), asset_class=\\\"etf\\\", only_missing=True)\\n        rows = _portfolio_rows(conn)\\n        st.success(_price_update_message(stock, etf, rows))\\n\\n    if not rows:\\n        st.info(\\\"Noch keine Cash-, Aktien- oder ETF-Positionen im User Mode vorhanden.\\\")\\n        if st.button(\\\"Position hinzufügen\\\", key=\\\"portfolio_empty_add_position\\\", on_click=_go_to_add_position, args=(st,)):\\n            st.success(\\\"Öffne im User Mode die Seite 'Position hinzufügen'.\\\")\\n        return\\n\\n    sort_by = st.selectbox(\\\"Sortierung\\\", [\\\"Marktwert CHF absteigend\\\", \\\"Name A–Z\\\", \\\"Depot\\\", \\\"Assettyp\\\", \\\"Status\\\", \\\"Währung\\\"], key=\\\"portfolio_sort_by\\\")\\n    rows = sorted(rows, key=_sort_key(sort_by), reverse=sort_by == \\\"Marktwert CHF absteigend\\\")\\n    view = st.radio(\\\"Ansicht\\\", [\\\"Nach Anbieter / Depot\\\", \\\"Nach Assettyp\\\", \\\"Alle Positionen\\\"], key=\\\"portfolio_view\\\")\\n\\n    if view == \\\"Nach Anbieter / Depot\\\":\\n        preferred = [\\\"PostFinance\\\", \\\"Raiffeisen\\\", \\\"True Wealth\\\", \\\"Anderes Konto\\\"]\\n        seen: set[str] = set()\\n        ordered_groups = preferred + sorted({r.get(\\\"platform\\\") or r.get(\\\"account_name\\\") or \\\"Anderes Konto\\\" for r in rows if (r.get(\\\"platform\\\") or r.get(\\\"account_name\\\") or \\\"Anderes Konto\\\") not in preferred})\\n        for group in ordered_groups:\\n            if group in seen:\\n                continue\\n            seen.add(group)\\n            group_rows = [r for r in rows if group.lower() in ((r.get(\\\"platform\\\", \\\"\\\") + \\\" \\\" + r.get(\\\"account_name\\\", \\\"\\\")).lower())]\\n            if group_rows:\\n                st.markdown(f\\\"### {group}\\\")\\n                show_table(st, [_table_row(r) for r in group_rows])\\n        st.markdown(\\\"### Zusammenzug nach Anbieter / Depot\\\")\\n        show_table(st, _provider_summary(rows))\\n    elif view == \\\"Nach Assettyp\\\":\\n        for label in [\\\"Cash\\\", \\\"Aktie\\\", \\\"ETF\\\"]:\\n            group_rows = [r for r in rows if _asset_type(r) == label]\\n            if group_rows:\\n                st.markdown(f\\\"### {'Aktien' if label == 'Aktie' else 'ETFs' if label == 'ETF' else 'Cash'}\\\")\\n                show_table(st, [_table_row(r) for r in group_rows])\\n        st.markdown(\\\"### Zusammenzug nach Assettyp\\\")\\n        show_table(st, _asset_summary(rows))\\n    else:\\n        st.markdown(\\\"### Alle Positionen\\\")\\n        show_table(st, [_table_row(r) for r in rows])\\n\\n    st.subheader(\\\"Position aus Liste öffnen\\\")\\n    display_rows = [_table_row(r) for r in rows]\\n    event = st.dataframe(display_rows, use_container_width=True, hide_index=True, on_select=\\\"rerun\\\", selection_mode=\\\"single-row\\\", key=\\\"portfolio_positions_dataframe\\\")\\n    selected = _selected_from_dataframe_event(event, rows)\\n    if selected:\\n        st.session_state[\\\"portfolio_selected_key\\\"] = selected.get(\\\"_key\\\")\\n    selected = selected or _render_open_buttons(st, rows)\\n    selected_key = st.session_state.get(\\\"portfolio_selected_key\\\") if hasattr(st, \\\"session_state\\\") else None\\n    if selected_key:\\n        selected = next((r for r in rows if r.get(\\\"_key\\\") == selected_key), selected)\\n    selected = selected or rows[0]\\n    _render_detail(st, conn, selected)\\n\\n    st.subheader(\\\"Weitere Aktion\\\")\\n    if st.button(\\\"Position hinzufügen\\\", key=\\\"portfolio_add_position\\\", on_click=_go_to_add_position, args=(st,)):\\n        st.success(\\\"Öffne im User Mode die Seite 'Position hinzufügen'.\\\")\\n\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "write_file",
      "content": "{\"bytes_written\": 20875, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"lsp_diagnostics\": \"LSP diagnostics introduced by this edit:\\n<diagnostics file=\\\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/views/page_03_equities_etfs.py\\\">\\nERROR [159:47] Argument of type \\\"object\\\" cannot be assigned to parameter \\\"value\\\" of type \\\"Decimal | int | str | None\\\" in function \\\"chf_text\\\"\\n  Type \\\"object\\\" is not assignable to type \\\"Decimal | int | str | None\\\"\\n    \\\"object\\\" is not assignable to \\\"Decimal\\\"\\n    \\\"object\\\" is not assignable to \\\"int\\\"\\n    \\\"object\\\" is not assignable to \\\"str\\\"\\n    \\\"object\\\" is not assignable to \\\"None\\\" [reportArgumentType] (Pyright)\\nERROR [160:41] Argument of type \\\"object\\\" cannot be assigned to parameter \\\"value\\\" of type \\\"Decimal | int | str | None\\\" in function \\\"chf_text\\\"\\n  Type \\\"object\\\" is not assignable to type \\\"Decimal | int | str | None\\\"\\n    \\\"object\\\" is not assignable to \\\"Decimal\\\"\\n    \\\"object\\\" is not assignable to \\\"int\\\"\\n    \\\"object\\\" is not assignable to \\\"str\\\"\\n    \\\"object\\\" is not assignable to \\\"None\\\" [reportArgumentType] (Pyright)\\nERROR [161:43] Argument of type \\\"object\\\" cannot be assigned to parameter \\\"value\\\" of type \\\"Decimal | int | str | None\\\" in function \\\"chf_text\\\"\\n  Type \\\"object\\\" is not assignable to type \\\"Decimal | int | str | None\\\"\\n    \\\"object\\\" is not assignable to \\\"Decimal\\\"\\n    \\\"object\\\" is not assignable to \\\"int\\\"\\n    \\\"object\\\" is not assignable to \\\"str\\\"\\n    \\\"object\\\" is not assignable to \\\"None\\\" [reportArgumentType] (Pyright)\\nERROR [161:130] Argument of type \\\"object\\\" cannot be assigned to parameter \\\"value\\\" of type \\\"Decimal | int | str | None\\\" in function \\\"chf_text\\\"\\n  Type \\\"object\\\" is not assignable to type \\\"Decimal | int | str | None\\\"\\n    \\\"object\\\" is not assignable to \\\"Decimal\\\"\\n    \\\"object\\\" is not assignable to \\\"int\\\"\\n    \\\"object\\\" is not assignable to \\\"str\\\"\\n    \\\"object\\\" is not assignable to \\\"None\\\" [reportArgumentType] (Pyright)\\nERROR [162:41] Argument of type \\\"object\\\" cannot be assigned to parameter \\\"value\\\" of type \\\"Decimal | int | str | None\\\" in function \\\"chf_text\\\"\\n  Type \\\"object\\\" is not assignable to type \\\"Decimal | int | str | None\\\"\\n    \\\"object\\\" is not assignable to \\\"Decimal\\\"\\n    \\\"object\\\" is not assignable to \\\"int\\\"\\n    \\\"object\\\" is not assignable to \\\"str\\\"\\n    \\\"object\\\" is not assignable to \\\"None\\\" [reportArgumentType] (Pyright)\\nERROR [162:126] Argument of type \\\"object\\\" cannot be assigned to parameter \\\"value\\\" of type \\\"Decimal | int | str | None\\\" in function \\\"chf_text\\\"\\n  Type \\\"object\\\" is not assignable to type \\\"Decimal | int | str | None\\\"\\n    \\\"object\\\" is not assignable to \\\"Decimal\\\"\\n    \\\"object\\\" is not assignable to \\\"int\\\"\\n    \\\"object\\\" is not assignable to \\\"str\\\"\\n    \\\"object\\\" is not assignable to \\\"None\\\" [reportArgumentType] (Pyright)\\nERROR [178:39] Argument of type \\\"object\\\" cannot be assigned to parameter \\\"value\\\" of type \\\"Decimal | int | str | None\\\" in function \\\"chf_text\\\"\\n  Type \\\"object\\\" is not assignable to type \\\"Decimal | int | str | None\\\"\\n    \\\"object\\\" is not assignable to \\\"Decimal\\\"\\n    \\\"object\\\" is not assignable to \\\"int\\\"\\n    \\\"object\\\" is not assignable to \\\"str\\\"\\n    \\\"object\\\" is not assignable to \\\"None\\\" [reportArgumentType] (Pyright)\\nERROR [179:41] Argument of type \\\"object\\\" cannot be assigned to parameter \\\"value\\\" of type \\\"Decimal | int | str | None\\\" in function \\\"chf_text\\\"\\n  Type \\\"object\\\" is not assignable to type \\\"Decimal | int | str | None\\\"\\n    \\\"object\\\" is not assignable to \\\"Decimal\\\"\\n    \\\"object\\\" is not assignable to \\\"int\\\"\\n    \\\"object\\\" is not assignable to \\\"str\\\"\\n    \\\"object\\\" is not assignable to \\\"None\\\" [reportArgumentType] (Pyright)\\nERROR [180:39] Argument of type \\\"object\\\" cannot be assigned to parameter \\\"value\\\" of type \\\"Decimal | int | str | None\\\" in function \\\"chf_text\\\"\\n  Type \\\"object\\\" is not assignable to type \\\"Decimal | int | str | None\\\"\\n    \\\"object\\\" is not assignable to \\\"Decimal\\\"\\n    \\\"object\\\" is not assignable to \\\"int\\\"\\n    \\\"object\\\" is not assignable to \\\"str\\\"\\n    \\\"object\\\" is not assignable to \\\"None\\\" [reportArgumentType] (Pyright)\\nERROR [181:54] Argument of type \\\"object\\\" cannot be assigned to parameter \\\"value\\\" of type \\\"Decimal | int | str | None\\\" in function \\\"chf_text\\\"\\n  Type \\\"o\\n…[truncated]\"}",
      "tool_call_id": "call_9ubIRelIkBUcJ7yB5maUF0O7"
    }
  ]
}