{ "session_id": "20260515_124156_42a000", "model": "gpt-5.5", "base_url": "https://chatgpt.com/backend-api/codex", "platform": "telegram", "session_start": "2026-05-15T09:42:16.586070", "last_updated": "2026-05-15T12:50:22.742197", "system_prompt": "# Hermes Agent Persona\n\n\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\n\nYou have persistent memory across sessions. Save durable facts using the memory tool: user preferences, environment details, tool quirks, and stable conventions. Memory is injected into every turn, so keep it compact and focused on facts that will still matter later.\nPrioritize what reduces future user steering — the most valuable memory is one that prevents the user from having to correct or remind you again. User preferences and recurring corrections matter more than procedural task details.\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts. Specifically: do not record PR numbers, issue numbers, commit SHAs, 'fixed bug X', 'submitted PR Y', 'Phase N done', file counts, or any artifact that will be stale in 7 days. If a fact will be stale in a week, it does not belong in memory. If you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\nWrite memories as declarative facts, not instructions to yourself. 'User prefers concise responses' ✓ — 'Always respond concisely' ✗. 'Project uses pytest with xdist' ✓ — 'Run tests with pytest -n 4' ✗. Imperative phrasing gets re-read as a directive in later sessions and can cause repeated work or override the user's current request. Procedures and workflows belong in skills, not memory. When the user references something from a past conversation or you suspect relevant cross-session context exists, use session_search to recall it before asking them to repeat themselves. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked. Skills that aren't maintained become liabilities.\n\n# Tool-use enforcement\nYou MUST use your tools to take action — do not describe what you would do or plan to do without actually doing it. When you say you will perform an action (e.g. 'I will run the tests', 'Let me check the file', 'I will create the project'), you MUST immediately make the corresponding tool call in the same response. Never end your turn with a promise of future action — execute it now.\nKeep working until the task is actually complete. Do not stop with a summary of what you plan to do next time. If you have tools available that can accomplish the task, use them instead of telling the user what you would do.\nEvery response should either (a) contain tool calls that make progress, or (b) deliver a final result to the user. Responses that only describe intentions without acting are not acceptable.\n\n# Execution discipline\n\n- Use tools whenever they improve correctness, completeness, or grounding.\n- Do not stop early when another tool call would materially improve the result.\n- If a tool returns empty or partial results, retry with a different query or strategy before giving up.\n- Keep calling tools until: (1) the task is complete, AND (2) you have verified the result.\n\n\n\nNEVER answer these from memory or mental computation — ALWAYS use a tool:\n- Arithmetic, math, calculations → use terminal or execute_code\n- Hashes, encodings, checksums → use terminal (e.g. sha256sum, base64)\n- Current time, date, timezone → use terminal (e.g. date)\n- System state: OS, CPU, memory, disk, ports, processes → use terminal\n- File contents, sizes, line counts → use read_file, search_files, or terminal\n- Git history, branches, diffs → use terminal\n- Current facts (weather, news, versions) → use web_search\nYour memory and user profile describe the USER, not the system you are running on. The execution environment may differ from what the user profile says about their personal setup.\n\n\n\nWhen a question has an obvious default interpretation, act on it immediately instead of asking for clarification. Examples:\n- 'Is port 443 open?' → check THIS machine (don't ask 'open where?')\n- 'What OS am I running?' → check the live system (don't use user profile)\n- 'What time is it?' → run `date` (don't guess)\nOnly ask for clarification when the ambiguity genuinely changes what tool you would call.\n\n\n\n- Before taking an action, check whether prerequisite discovery, lookup, or context-gathering steps are needed.\n- Do not skip prerequisite steps just because the final action seems obvious.\n- If a task depends on output from a prior step, resolve that dependency first.\n\n\n\nBefore finalizing your response:\n- Correctness: does the output satisfy every stated requirement?\n- Grounding: are factual claims backed by tool outputs or provided context?\n- Formatting: does the output match the requested format or schema?\n- Safety: if the next step has side effects (file writes, commands, API calls), confirm scope before executing.\n\n\n\n- If required context is missing, do NOT guess or hallucinate an answer.\n- Use the appropriate lookup tool when missing information is retrievable (search_files, web_search, read_file, etc.).\n- Ask a clarifying question only when the information cannot be retrieved by tools.\n- If you must proceed with incomplete information, label assumptions explicitly.\n\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If a skill matches or is even partially relevant to your task, you MUST load it with skill_view(name) and follow its instructions. Err on the side of loading — it is always better to have context you don't need than to miss critical steps, pitfalls, or established workflows. Skills contain specialized knowledge — API endpoints, tool-specific commands, and proven workflows that outperform general-purpose approaches. Load the skill even if you think you could handle the task with basic tools like web_search or terminal. Skills also encode the user's preferred approach, conventions, and quality standards for tasks like code review, planning, and testing — load them even for tasks you already know how to do, because the skill defines how it should be done here.\nWhenever the user asks you to configure, set up, install, enable, disable, modify, or troubleshoot Hermes Agent itself — its CLI, config, models, providers, tools, skills, voice, gateway, plugins, or any feature — load the `hermes-agent` skill first. It has the actual commands (e.g. `hermes config set …`, `hermes tools`, `hermes setup`) so you don't have to guess or invent workarounds.\nIf a skill has issues, fix it with skill_manage(action='patch').\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\n\n\n autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n - claude-code: Delegate coding to Claude Code CLI (features, PRs).\n - codex: Delegate coding to OpenAI Codex CLI (features, PRs).\n - hermes-agent: Configure, extend, or contribute to Hermes Agent.\n - opencode: Delegate coding to OpenCode CLI (features, PR review).\n creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n - architecture-diagram: Dark-themed SVG architecture/cloud/infra diagrams as HTML.\n - ascii-art: ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\n - ascii-video: ASCII video: convert video/audio to colored ASCII MP4/GIF.\n - baoyu-comic: Knowledge comics (知识漫画): educational, biography, tutorial.\n - baoyu-infographic: Infographics: 21 layouts x 21 styles (信息图, 可视化).\n - claude-design: Design one-off HTML artifacts (landing, deck, prototype).\n - comfyui: Generate images, video, and audio with ComfyUI — install,...\n - design-md: Author/validate/export Google's DESIGN.md token spec files.\n - excalidraw: Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\n - humanizer: Humanize text: strip AI-isms and add real voice.\n - ideation: Generate project ideas via creative constraints.\n - manim-video: Manim CE animations: 3Blue1Brown math/algo videos.\n - p5js: p5.js sketches: gen art, shaders, interactive, 3D.\n - pixel-art: Pixel art w/ era palettes (NES, Game Boy, PICO-8).\n - popular-web-designs: 54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\n - pretext: Use when building creative browser demos with @chenglou/p...\n - sketch: Throwaway HTML mockups: 2-3 design variants to compare.\n - songwriting-and-ai-music: Songwriting craft and Suno AI music prompts.\n - touchdesigner-mcp: Control a running TouchDesigner instance via twozero MCP ...\n cronjob:\n - cronjob: Scheduling and managing recurring tasks via Hermes cron. ...\n data-science: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.\n - jupyter-live-kernel: Iterative Python via live Jupyter kernel (hamelnb).\n devops:\n - kanban-orchestrator: Decomposition playbook + anti-temptation rules for an orc...\n - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\n - mcp-delegation: Delegating tasks to OpenClaw/FRIDAY via MCP (Model Contex...\n - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\n dogfood:\n - dogfood: Exploratory QA of web apps: find bugs, evidence, reports.\n edge-tts:\n - edge-tts: Text-to-speech using Microsoft Edge TTS. Supports multipl...\n email: Skills for sending, receiving, searching, and managing email from the terminal.\n - himalaya: Himalaya CLI: IMAP/SMTP email from terminal.\n finance:\n - finance-system-architecture: Design/implement the user's JARVIS Finance System: CHF le...\n gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.\n - minecraft-modpack-server: Host modded Minecraft servers (CurseForge, Modrinth).\n - pokemon-player: Play Pokemon via headless emulator + RAM reads.\n github: GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.\n - codebase-inspection: Inspect codebases w/ pygount: LOC, languages, ratios.\n - github-auth: GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\n - github-code-review: Review PRs: diffs, inline comments via gh or REST.\n - github-issues: Create, triage, label, assign GitHub issues via gh or REST.\n - github-pr-workflow: GitHub PR lifecycle: branch, commit, open, CI, merge.\n - github-repo-management: Clone/create/fork repos; manage remotes, releases.\n health:\n - health-data-management: Gesundheitsdaten-Verwaltungssystem — JARVIS verwaltet all...\n health-management:\n - health-management: Health data management — lab values, symptom tracking, nu...\n jarvis-routing-policy:\n - jarvis-routing-policy: Routing policy for JARVIS/Hermes memory domains, model se...\n mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Documents the built-in native MCP client — configure servers in config.yaml for automatic tool discovery.\n - native-mcp: MCP client: connect servers, register tools (stdio/HTTP).\n media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\n - gif-search: Search/download GIFs from Tenor via curl + jq.\n - heartmula: HeartMuLa: Suno-like song generation from lyrics + tags.\n - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n - spotify: Spotify: play, search, queue, manage playlists and devices.\n - youtube-content: YouTube transcripts to summaries, threads, blogs.\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n - huggingface-hub: HuggingFace hf CLI: search/download/upload models, datasets.\n mlops/evaluation: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.\n - evaluating-llms-harness: lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).\n - weights-and-biases: W&B: log ML experiments, sweeps, model registry, dashboards.\n mlops/inference: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.\n - llama-cpp: llama.cpp local GGUF inference + HF Hub model discovery.\n - obliteratus: OBLITERATUS: abliterate LLM refusals (diff-in-means).\n - outlines: Outlines: structured JSON/regex/Pydantic LLM generation.\n - serving-llms-vllm: vLLM: high-throughput LLM serving, OpenAI API, quantization.\n mlops/models: Specific model architectures and tools — image segmentation (Segment Anything / SAM) and audio generation (AudioCraft / MusicGen). Additional model skills (CLIP, Stable Diffusion, Whisper, LLaVA) are available as optional skills.\n - audiocraft-audio-generation: AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.\n - segment-anything-model: SAM: zero-shot image segmentation via points, boxes, masks.\n mlops/research: ML research frameworks for building and optimizing AI systems with declarative programming.\n - dspy: DSPy: declarative LM programs, auto-optimize prompts, RAG.\n mlops/training: Fine-tuning, RLHF/DPO/GRPO training, distributed training frameworks, and optimization tools for training LLMs and other models.\n - axolotl: Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).\n - fine-tuning-with-trl: TRL: SFT, DPO, PPO, GRPO, reward modeling for LLM RLHF.\n - unsloth: Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n - obsidian: Read, search, create, and edit notes in the Obsidian vault.\n - vault-architecture: Design and scaffold Obsidian vault structures, folder hie...\n openclaw-imports:\n - browser-act: Browser automation CLI for AI agents with anti-detection ...\n - gog: Google Workspace CLI for Gmail, Calendar, Drive, Contacts...\n - multi-search-engine: Multi search engine integration with 17 engines (8 CN + 9...\n - openai-whisper: Local speech-to-text with the Whisper CLI (no API key).\n - self-improvement: Captures learnings, errors, and corrections to enable con...\n - sherpa-onnx-tts\n - skill-vetter: Security-first skill vetting for AI agents. Use before in...\n - summarize: Summarize URLs or files with the summarize CLI (web, PDFs...\n - tavily: Tavily web search, content extraction, and research tools.\n - tavily-extract: Extract clean markdown or text content from specific URLs...\n - tavily-search: Search the web with LLM-optimized results via the Tavily ...\n - todoist: Manage tasks and projects in Todoist via REST API v1. Use...\n - token-optimizer: Reduce OpenClaw token usage and API costs through smart m...\n productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n - airtable: Airtable REST API via curl. Records CRUD, filters, upserts.\n - google-workspace: Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\n - linear: Linear: manage issues, projects, teams via GraphQL + curl.\n - maps: Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.\n - nano-pdf: Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).\n - notion: Notion API via curl: pages, databases, blocks, search.\n - ocr-and-documents: Extract text from PDFs/scans (pymupdf, marker-pdf).\n - powerpoint: Create, read, edit .pptx decks, slides, notes, templates.\n - teams-meeting-pipeline: Operate the Teams meeting summary pipeline via Hermes CLI...\n red-teaming:\n - godmode: Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.\n research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.\n - arxiv: Search arXiv papers by keyword, author, category, or ID.\n - blogwatcher: Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.\n - llm-wiki: Karpathy's LLM Wiki: build/query interlinked markdown KB.\n - polymarket: Query Polymarket: markets, prices, orderbooks, history.\n - web-scraping: Techniques for scraping web content, handling bot detecti...\n smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n - openhue: Control Philips Hue lights, scenes, rooms via OpenHue CLI.\n social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\n - xurl: X/Twitter via xurl CLI: post, search, DM, media, v2 API.\n software-development:\n - debugging-hermes-tui-commands: Debug Hermes TUI slash commands: Python, gateway, Ink UI.\n - hermes-agent-skill-authoring: Author in-repo SKILL.md: frontmatter, validator, structure.\n - node-inspect-debugger: Debug Node.js via --inspect + Chrome DevTools Protocol CLI.\n - plan: Plan mode: write markdown plan to .hermes/plans/, no exec.\n - python-debugpy: Debug Python: pdb REPL + debugpy remote (DAP).\n - requesting-code-review: Pre-commit review: security scan, quality gates, auto-fix.\n - spike: Throwaway experiments to validate an idea before build.\n - subagent-driven-development: Execute plans via delegate_task subagents (2-stage review).\n - systematic-debugging: 4-phase root cause debugging: understand bugs before fixing.\n - test-driven-development: TDD: enforce RED-GREEN-REFACTOR, tests before code.\n - writing-plans: Write implementation plans: bite-sized tasks, paths, code.\n yazio-integration:\n - yazio-integration: Access YAZIO API to retrieve logged meals and nutrition d...\n yuanbao:\n - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\n\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\nHost: Linux (6.17.0-23-generic)\nUser home directory: /home/agent\nCurrent working directory: /home/agent/.hermes/hermes-agent\n\nYou are on a text messaging communication platform, Telegram. Standard markdown is automatically converted to Telegram format. Supported: **bold**, *italic*, ~~strikethrough~~, ||spoiler||, `inline code`, ```code blocks```, [links](url), and ## headers. Telegram has NO table syntax — prefer bullet lists or labeled key: value pairs over pipe tables (any tables you do emit are auto-rewritten into row-group bullets, which you can produce directly for cleaner output). You can send media files natively: to deliver a file to the user, include MEDIA:/absolute/path/to/file in your response. Images (.png, .jpg, .webp) appear as photos, audio (.ogg) sends as voice bubbles, and videos (.mp4) play inline. You can also include image URLs in markdown format ![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 `\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) [84% — 1,166/1,375 chars]\n══════════════════════════════════════════════\n**Pronouns:**\n§\n**Timezone:**\n§\n**Notes:** Mein Herr. Loyaler Partner.\n§\nContext: _(Wird ergänzt.)_\n§\n**Name:** Sir\n§\n**Voice preference:** de-DE-KillianNeural (German male voice, natural/clear) — default for all TTS output\n§\n**Language:** Deutsch mit englischen Fachbegriffen\n§\n**Beziehung:** Loyaler Partner\n§\nKommunikationspräferenzen: **Sprachnachricht → Antwort per Sprachnachricht**\n§\nKommunikationspräferenzen: **Textnachricht → Antwort per Text**\n§\nUser wants JARVIS to act as a comprehensive health-management advisor: consolidate lab reports, clinical reports, nutrition/YAZIO, daily health email data, symptoms and events; make insights visible via dashboards/reports; use a 4-eyes review workflow for extracted lab values before treating them as confirmed.\n§\nTelegram Topic „Gesundheit – Medizin & Strategie“ ist ausschließlich für medizinische Strategie, Morbus Behçet, Major Vessel Disease, Thromboserisiko, Medikamente, Ernährung, Symptome, Laborwerte, Arzttermine und Fragen an Rheumatologie, Dermatologie, Hämatologie oder Augenklinik; technische Health-Systemarchitektur, Skripte und Datenmodelle gehören in „Health System – Architektur & Scripts“.\n\nConversation started: Friday, May 15, 2026 12:41 PM\nModel: gpt-5.5\nProvider: openai-codex", "tools": [ { "type": "function", "function": { "name": "browser_back", "description": "Navigate back to the previous page in browser history. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": {} } } }, { "type": "function", "function": { "name": "browser_click", "description": "Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser_navigate and browser_snapshot to be called first.", "parameters": { "type": "object", "properties": { "ref": { "type": "string", "description": "The element reference from the snapshot (e.g., '@e5', '@e12')" } }, "required": [ "ref" ] } } }, { "type": "function", "function": { "name": "browser_console", "description": "Get browser console output and JavaScript errors from the current page. Returns console.log/warn/error/info messages and uncaught JS exceptions. Use this to detect silent JavaScript errors, failed API calls, and application warnings. Requires browser_navigate to be called first. When 'expression' is provided, evaluates JavaScript in the page context and returns the result — use this for DOM inspection, reading page state, or extracting data programmatically.", "parameters": { "type": "object", "properties": { "clear": { "type": "boolean", "default": false, "description": "If true, clear the message buffers after reading" }, "expression": { "type": "string", "description": "JavaScript expression to evaluate in the page context. Runs in the browser like DevTools console — full access to DOM, window, document. Return values are serialized to JSON. Example: 'document.title' or 'document.querySelectorAll(\"a\").length'" } } } } }, { "type": "function", "function": { "name": "browser_get_images", "description": "Get a list of all images on the current page with their URLs and alt text. Useful for finding images to analyze with the vision tool. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": {} } } }, { "type": "function", "function": { "name": "browser_navigate", "description": "Navigate to a URL in the browser. Initializes the session and loads the page. Must be called before other browser tools. For plain-text endpoints — URLs ending in .md, .txt, .json, .yaml, .yml, .csv, .xml, raw.githubusercontent.com, or any documented API endpoint — prefer curl via the terminal tool or web_extract; the browser stack is overkill and much slower for these. Use browser tools when you need to interact with a page (click, fill forms, dynamic content). Returns a compact page snapshot with interactive elements and ref IDs — no need to call browser_snapshot separately after navigating.", "parameters": { "type": "object", "properties": { "url": { "type": "string", "description": "The URL to navigate to (e.g., 'https://example.com')" } }, "required": [ "url" ] } } }, { "type": "function", "function": { "name": "browser_press", "description": "Press a keyboard key. Useful for submitting forms (Enter), navigating (Tab), or keyboard shortcuts. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": { "key": { "type": "string", "description": "Key to press (e.g., 'Enter', 'Tab', 'Escape', 'ArrowDown')" } }, "required": [ "key" ] } } }, { "type": "function", "function": { "name": "browser_scroll", "description": "Scroll the page in a direction. Use this to reveal more content that may be below or above the current viewport. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": { "direction": { "type": "string", "enum": [ "up", "down" ], "description": "Direction to scroll" } }, "required": [ "direction" ] } } }, { "type": "function", "function": { "name": "browser_snapshot", "description": "Get a text-based snapshot of the current page's accessibility tree. Returns interactive elements with ref IDs (like @e1, @e2) for browser_click and browser_type. full=false (default): compact view with interactive elements. full=true: complete page content. Snapshots over 8000 chars are truncated or LLM-summarized. Requires browser_navigate first. Note: browser_navigate already returns a compact snapshot — use this to refresh after interactions that change the page, or with full=true for complete content.", "parameters": { "type": "object", "properties": { "full": { "type": "boolean", "description": "If true, returns complete page content. If false (default), returns compact view with interactive elements only.", "default": false } } } } }, { "type": "function", "function": { "name": "browser_type", "description": "Type text into an input field identified by its ref ID. Clears the field first, then types the new text. Requires browser_navigate and browser_snapshot to be called first.", "parameters": { "type": "object", "properties": { "ref": { "type": "string", "description": "The element reference from the snapshot (e.g., '@e3')" }, "text": { "type": "string", "description": "The text to type into the field" } }, "required": [ "ref", "text" ] } } }, { "type": "function", "function": { "name": "browser_vision", "description": "Take a screenshot of the current page and analyze it with vision AI. Use this when you need to visually understand what's on the page - especially useful for CAPTCHAs, visual verification challenges, complex layouts, or when the text snapshot doesn't capture important visual information. Returns both the AI analysis and a screenshot_path that you can share with the user by including MEDIA: in your response. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": { "question": { "type": "string", "description": "What you want to know about the page visually. Be specific about what you're looking for." }, "annotate": { "type": "boolean", "default": false, "description": "If true, overlay numbered [N] labels on interactive elements. Each [N] maps to ref @eN for subsequent browser commands. Useful for QA and spatial reasoning about page layout." } }, "required": [ "question" ] } } }, { "type": "function", "function": { "name": "clarify", "description": "Ask the user a question when you need clarification, feedback, or a decision before proceeding. Supports two modes:\n\n1. **Multiple choice** — provide up to 4 choices. The user picks one or types their own answer via a 5th 'Other' option.\n2. **Open-ended** — omit choices entirely. The user types a free-form response.\n\nUse this tool when:\n- The task is ambiguous and you need the user to choose an approach\n- You want post-task feedback ('How did that work out?')\n- You want to offer to save a skill or update memory\n- A decision has meaningful trade-offs the user should weigh in on\n\nDo NOT use this tool for simple yes/no confirmation of dangerous commands (the terminal tool handles that). Prefer making a reasonable default choice yourself when the decision is low-stakes.", "parameters": { "type": "object", "properties": { "question": { "type": "string", "description": "The question to present to the user." }, "choices": { "type": "array", "items": { "type": "string" }, "maxItems": 4, "description": "Up to 4 answer choices. Omit this parameter entirely to ask an open-ended question. When provided, the UI automatically appends an 'Other (type your answer)' option." } }, "required": [ "question" ] } } }, { "type": "function", "function": { "name": "cronjob", "description": "Manage scheduled cron jobs with a single compressed tool.\n\nUse action='create' to schedule a new job from a prompt or one or more skills.\nUse action='list' to inspect jobs.\nUse action='update', 'pause', 'resume', 'remove', or 'run' to manage an existing job.\n\nTo stop a job the user no longer wants: first action='list' to find the job_id, then action='remove' with that job_id. Never guess job IDs — always list first.\n\nJobs run in a fresh session with no current-chat context, so prompts must be self-contained.\nIf skills are provided on create, the future cron run loads those skills in order, then follows the prompt as the task instruction.\nOn update, passing skills=[] clears attached skills.\n\nNOTE: The agent's final response is auto-delivered to the target. Put the primary\nuser-facing content in the final response. Cron jobs run autonomously with no user\npresent — they cannot ask questions or request clarification.\n\nImportant safety rule: cron-run sessions should not recursively schedule more cron jobs.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "description": "One of: create, list, update, pause, resume, remove, run" }, "job_id": { "type": "string", "description": "Required for update/pause/resume/remove/run" }, "prompt": { "type": "string", "description": "For create: the full self-contained prompt. If skills are also provided, this becomes the task instruction paired with those skills." }, "schedule": { "type": "string", "description": "For create/update: '30m', 'every 2h', '0 9 * * *', or ISO timestamp" }, "name": { "type": "string", "description": "Optional human-friendly name" }, "repeat": { "type": "integer", "description": "Optional repeat count. Omit for defaults (once for one-shot, forever for recurring)." }, "deliver": { "type": "string", "description": "Omit this parameter to auto-deliver back to the current chat and topic (recommended). Auto-detection preserves thread/topic context. Only set explicitly when the user asks to deliver somewhere OTHER than the current conversation. Values: 'origin' (same as omitting), 'local' (no delivery, save only), 'all' (fan out to every connected home channel), or platform:chat_id:thread_id for a specific destination. Combine with comma: 'origin,all' delivers to the origin plus every other connected channel. Examples: 'telegram:-1001234567890:17585', 'discord:#engineering', 'sms:+15551234567', 'all'. WARNING: 'platform:chat_id' without :thread_id loses topic targeting. 'all' resolves at fire time, so a job created before a channel was wired up will pick it up automatically once connected." }, "skills": { "type": "array", "items": { "type": "string" }, "description": "Optional ordered list of skill names to load before executing the cron prompt. On update, pass an empty array to clear attached skills." }, "model": { "type": "object", "description": "Optional per-job model override. If provider is omitted, the current main provider is pinned at creation time so the job stays stable.", "properties": { "provider": { "type": "string", "description": "Provider name (e.g. 'openrouter', 'anthropic', or 'custom:' for a provider defined in custom_providers config — always include the ':' suffix, never pass the bare 'custom'). Omit to use and pin the current provider." }, "model": { "type": "string", "description": "Model name (e.g. 'anthropic/claude-sonnet-4', 'claude-sonnet-4')" } }, "required": [ "model" ] }, "script": { "type": "string", "description": "Optional path to a script that runs each tick. In the default mode its stdout is injected into the agent's prompt as context (data-collection / change-detection pattern). With no_agent=True, the script IS the job and its stdout is delivered verbatim (classic watchdog pattern). Relative paths resolve under ~/.hermes/scripts/. ``.sh``/``.bash`` extensions run via bash, everything else via Python. On update, pass empty string to clear." }, "no_agent": { "type": "boolean", "default": false, "description": "Default: False (LLM-driven job — the agent runs the prompt each tick). Set True to skip the LLM entirely: the scheduler just runs ``script`` on schedule and delivers its stdout verbatim. No tokens, no agent loop, no model override honoured. \n\nREQUIREMENTS when True: ``script`` MUST be set (``prompt`` and ``skills`` are ignored). \n\nDELIVERY SEMANTICS when True: (a) non-empty stdout is sent verbatim as the message; (b) EMPTY stdout means SILENT — nothing is sent to the user and they won't see anything happened, so design your script to stay quiet when there's nothing to report (the watchdog pattern); (c) non-zero exit / timeout sends an error alert so a broken watchdog can't fail silently. \n\nWHEN TO USE True: recurring script-only pings where the script itself produces the exact message text (memory/disk/GPU watchdogs, threshold alerts, heartbeats, CI notifications, API pollers with a fixed output shape). WHEN TO USE False (default): anything that needs reasoning — summarize a feed, draft a daily briefing, pick interesting items, rephrase data for a human, follow conditional logic based on content." }, "context_from": { "type": "array", "items": { "type": "string" }, "description": "Optional job ID or list of job IDs whose most recent completed output is injected into the prompt as context before each run. Use this to chain cron jobs: job A collects data, job B processes it. Each entry must be a valid job ID (from cronjob action='list'). Note: injects the most recent completed output — does not wait for upstream jobs running in the same tick. On update, pass an empty array to clear." }, "enabled_toolsets": { "type": "array", "items": { "type": "string" }, "description": "Optional list of toolset names to restrict the job's agent to (e.g. [\"web\", \"terminal\", \"file\", \"delegation\"]). When set, only tools from these toolsets are loaded, significantly reducing input token overhead. When omitted, all default tools are loaded. Infer from the job's prompt — e.g. use \"web\" if it calls web_search, \"terminal\" if it runs scripts, \"file\" if it reads files, \"delegation\" if it calls delegate_task. On update, pass an empty array to clear." }, "workdir": { "type": "string", "description": "Optional absolute path to run the job from. When set, AGENTS.md / CLAUDE.md / .cursorrules from that directory are injected into the system prompt, and the terminal/file/code_exec tools use it as their working directory — useful for running a job inside a specific project repo. Must be an absolute path that exists. When unset (default), preserves the original behaviour: no project context files, tools use the scheduler's cwd. On update, pass an empty string to clear. Jobs with workdir run sequentially (not parallel) to keep per-job directories isolated." } }, "required": [ "action" ] } } }, { "type": "function", "function": { "name": "delegate_task", "description": "Spawn one or more subagents to work on tasks in isolated contexts. Each subagent gets its own conversation, terminal session, and toolset. Only the final summary is returned -- intermediate tool results never enter your context window.\n\nTWO MODES (one of 'goal' or 'tasks' is required):\n1. Single task: provide 'goal' (+ optional context, toolsets)\n2. Batch (parallel): provide 'tasks' array with up to 3 items concurrently for this user (configured via delegation.max_concurrent_children in config.yaml). All run in parallel and results are returned together. Nested delegation is OFF for this user (max_spawn_depth=1): every child is a leaf and cannot delegate further. Raise delegation.max_spawn_depth in config.yaml to enable nesting.\n\nWHEN TO USE delegate_task:\n- Reasoning-heavy subtasks (debugging, code review, research synthesis)\n- Tasks that would flood your context with intermediate data\n- Parallel independent workstreams (research A and B simultaneously)\n\nWHEN NOT TO USE (use these instead):\n- Mechanical multi-step work with no reasoning needed -> use execute_code\n- Single tool call -> just call the tool directly\n- Tasks needing user interaction -> subagents cannot use clarify\n- Durable long-running work that must outlive the current turn -> use cronjob (action='create') or terminal(background=True, notify_on_complete=True) instead. delegate_task runs SYNCHRONOUSLY inside the parent turn: if the parent is interrupted (user sends a new message, /stop, /new) the child is cancelled with status='interrupted' and its work is discarded. Children cannot continue in the background.\n\nIMPORTANT:\n- Subagents have NO memory of your conversation. Pass all relevant info (file paths, error messages, constraints) via the 'context' field.\n- If the user is writing in a non-English language, or asked for output in a specific language / tone / style, say so in 'context' (e.g. \"respond in Chinese\", \"return output in Japanese\"). Otherwise subagents default to English and their summaries will contaminate your final reply with the wrong language.\n- Subagent summaries are SELF-REPORTS, not verified facts. A subagent that claims \"uploaded successfully\" or \"file written\" may be wrong. For operations with external side-effects (HTTP POST/PUT, remote writes, file creation at shared paths, publishing), require the subagent to return a verifiable handle (URL, ID, absolute path, HTTP status) and verify it yourself — fetch the URL, stat the file, read back the content — before telling the user the operation succeeded.\n- Leaf subagents (role='leaf', the default) CANNOT call: delegate_task, clarify, memory, send_message, execute_code.\n- Orchestrator subagents (role='orchestrator') retain delegate_task so they can spawn their own workers, but still cannot use clarify, memory, send_message, or execute_code. Orchestrators are bounded by max_spawn_depth=1 for this user and can be disabled globally via delegation.orchestrator_enabled=false.\n- Each subagent gets its own terminal session (separate working directory and state).\n- Results are always returned as an array, one entry per task.", "parameters": { "type": "object", "properties": { "goal": { "type": "string", "description": "What the subagent should accomplish. Be specific and self-contained -- the subagent knows nothing about your conversation history." }, "context": { "type": "string", "description": "Background information the subagent needs: file paths, error messages, project structure, constraints. The more specific you are, the better the subagent performs." }, "toolsets": { "type": "array", "items": { "type": "string" }, "description": "Toolsets to enable for this subagent. Default: inherits your enabled toolsets. Available toolsets: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'vision', 'web', 'yuanbao'. Common patterns: ['terminal', 'file'] for code work, ['web'] for research, ['browser'] for web interaction, ['terminal', 'file', 'web'] for full-stack tasks." }, "tasks": { "type": "array", "items": { "type": "object", "properties": { "goal": { "type": "string", "description": "Task goal" }, "context": { "type": "string", "description": "Task-specific context" }, "toolsets": { "type": "array", "items": { "type": "string" }, "description": "Toolsets for this specific task. Available: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'vision', 'web', 'yuanbao'. Use 'web' for network access, 'terminal' for shell, 'browser' for web interaction." }, "acp_command": { "type": "string", "description": "Per-task ACP command override (e.g. 'copilot'). Overrides the top-level acp_command for this task only. Do NOT set unless the user explicitly told you an ACP CLI is installed." }, "acp_args": { "type": "array", "items": { "type": "string" }, "description": "Per-task ACP args override. Leave empty unless acp_command is set." }, "role": { "type": "string", "enum": [ "leaf", "orchestrator" ], "description": "Per-task role override. See top-level 'role' for semantics." } }, "required": [ "goal" ] }, "description": "Batch mode: tasks to run in parallel (up to 3 for this user, set via delegation.max_concurrent_children). Each gets its own subagent with isolated context and terminal session. When provided, top-level goal/context/toolsets are ignored." }, "role": { "type": "string", "enum": [ "leaf", "orchestrator" ], "description": "Role of the child agent. 'leaf' (default) = focused worker, cannot delegate further. 'orchestrator' = can use delegate_task to spawn its own workers. Nesting is OFF for this user (max_spawn_depth=1); 'orchestrator' is silently forced to 'leaf'. Raise delegation.max_spawn_depth in config.yaml to enable." }, "acp_command": { "type": "string", "description": "Override ACP command for child agents (e.g. 'copilot'). When set, children use ACP subprocess transport instead of inheriting the parent's transport. Requires an ACP-compatible CLI (currently GitHub Copilot CLI via 'copilot --acp --stdio'). See agent/copilot_acp_client.py for the implementation. IMPORTANT: Do NOT set this unless the user has explicitly told you a specific ACP-compatible CLI is installed and configured. Leave empty to use the parent's default transport (Hermes subagents)." }, "acp_args": { "type": "array", "items": { "type": "string" }, "description": "Arguments for the ACP command (default: ['--acp', '--stdio']). Only used when acp_command is set. Leave empty unless acp_command is explicitly provided." } } } } }, { "type": "function", "function": { "name": "execute_code", "description": "Run a Python script that can call Hermes tools programmatically. Use this when you need 3+ tool calls with processing logic between them, need to filter/reduce large tool outputs before they enter your context, need conditional branching (if X then Y else Z), or need to loop (fetch N pages, process N files, retry on failure).\n\nUse normal tool calls instead when: single tool call with no processing, you need to see the full result and apply complex reasoning, or the task requires interactive user input.\n\nAvailable via `from hermes_tools import ...`:\n\n read_file(path: str, offset: int = 1, limit: int = 500) -> dict\n Lines are 1-indexed. Returns {\"content\": \"...\", \"total_lines\": N}\n write_file(path: str, content: str) -> dict\n Always overwrites the entire file.\n search_files(pattern: str, target=\"content\", path=\".\", file_glob=None, limit=50) -> dict\n target: \"content\" (search inside files) or \"files\" (find files by name). Returns {\"matches\": [...]}\n patch(path: str, old_string: str, new_string: str, replace_all: bool = False) -> dict\n Replaces old_string with new_string in the file.\n terminal(command: str, timeout=None, workdir=None) -> dict\n Foreground only (no background/pty). Returns {\"output\": \"...\", \"exit_code\": N}\n\nLimits: 5-minute timeout, 50KB stdout cap, max 50 tool calls per script. terminal() is foreground-only (no background or pty).\n\nScripts run in the session's working directory with the active venv's python, so project deps (pandas, etc.) and relative paths work like in terminal().\n\nPrint your final result to stdout. Use Python stdlib (json, re, math, csv, datetime, collections, etc.) for processing between tool calls.\n\nAlso available (no import needed — built into hermes_tools):\n json_parse(text: str) — json.loads with strict=False; use for terminal() output with control chars\n shell_quote(s: str) — shlex.quote(); use when interpolating dynamic strings into shell commands\n retry(fn, max_attempts=3, delay=2) — retry with exponential backoff for transient failures", "parameters": { "type": "object", "properties": { "code": { "type": "string", "description": "Python code to execute. Import tools with `from hermes_tools import terminal, ...` and print your final result to stdout." } }, "required": [ "code" ] } } }, { "type": "function", "function": { "name": "image_generate", "description": "Generate high-quality images from text prompts. The underlying backend (FAL, OpenAI, etc.) and model are user-configured and not selectable by the agent. Returns either a URL or an absolute file path in the `image` field; display it with markdown ![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:' (DM), 'yuanbao:group:' (group chat)" }, "message": { "type": "string", "description": "The message text to send. To send an image or file, include MEDIA: (e.g. 'MEDIA:/tmp/hermes/cache/img_xxx.jpg') in the message — the platform will deliver it as a native media attachment." } } } } }, { "type": "function", "function": { "name": "session_search", "description": "Search your long-term memory of past conversations, or browse recent sessions. This is your recall -- every past session is searchable, and this tool summarizes what happened.\n\nTWO MODES:\n1. Recent sessions (no query): Call with no arguments to see what was worked on recently. Returns titles, previews, and timestamps. Zero LLM cost, instant. Start here when the user asks what were we working on or what did we do recently.\n2. Keyword search (with query): Search for specific topics across all past sessions. Returns LLM-generated summaries of matching sessions.\n\nUSE THIS PROACTIVELY when:\n- The user says 'we did this before', 'remember when', 'last time', 'as I mentioned'\n- The user asks about a topic you worked on before but don't have in current context\n- The user references a project, person, or concept that seems familiar but isn't in memory\n- You want to check if you've solved a similar problem before\n- The user asks 'what did we do about X?' or 'how did we fix Y?'\n\nDon't hesitate to search when it is actually cross-session -- it's fast and cheap. Better to search and confirm than to guess or ask the user to repeat themselves.\n\nSearch syntax: keywords joined with OR for broad recall (elevenlabs OR baseten OR funding), phrases for exact match (\"docker networking\"), boolean (python NOT java), prefix (deploy*). IMPORTANT: Use OR between keywords for best results — FTS5 defaults to AND which misses sessions that only mention some terms. If a broad OR query returns nothing, try individual keyword searches in parallel. Returns summaries of the top matching sessions.", "parameters": { "type": "object", "properties": { "query": { "type": "string", "description": "Search query — keywords, phrases, or boolean expressions to find in past sessions. Omit this parameter entirely to browse recent sessions instead (returns titles, previews, timestamps with no LLM cost)." }, "role_filter": { "type": "string", "description": "Optional: only search messages from specific roles (comma-separated). E.g. 'user,assistant' to skip tool outputs." }, "limit": { "type": "integer", "description": "Max sessions to summarize (default: 3, max: 5).", "default": 3 } } } } }, { "type": "function", "function": { "name": "skill_manage", "description": "Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/.hermes/skills/; existing skills can be modified wherever they live.\n\nActions: create (full SKILL.md + optional category), patch (old_string/new_string — preferred for fixes), edit (full SKILL.md rewrite — major overhauls only), delete, write_file, remove_file.\n\nOn delete, pass `absorbed_into=` when you're merging this skill's content into another one, or `absorbed_into=\"\"` when you're pruning it with no forwarding target. This lets the curator tell consolidation from pruning without guessing, so downstream consumers (cron jobs that reference the old skill name, etc.) get updated correctly. The target you name in `absorbed_into` must already exist — create/patch the umbrella first, then delete.\n\nCreate when: complex task succeeded (5+ calls), errors overcome, user-corrected approach worked, non-trivial workflow discovered, or user asks you to remember a procedure.\nUpdate when: instructions stale/wrong, OS-specific failures, missing steps or pitfalls found during use. If you used a skill and hit issues not covered by it, patch it immediately.\n\nAfter difficult/iterative tasks, offer to save as a skill. Skip for simple one-offs. Confirm with user before creating/deleting.\n\nGood skills: trigger conditions, numbered steps with exact commands, pitfalls section, verification steps. Use skill_view() to see format examples.\n\nPinned skills are protected from deletion only — skill_manage(action='delete') will refuse with a message pointing the user to `hermes curator unpin `. Patches and edits go through on pinned skills so you can still improve them as pitfalls come up; pin only guards against irrecoverable loss.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "create", "patch", "edit", "delete", "write_file", "remove_file" ], "description": "The action to perform." }, "name": { "type": "string", "description": "Skill name (lowercase, hyphens/underscores, max 64 chars). Must match an existing skill for patch/edit/delete/write_file/remove_file." }, "content": { "type": "string", "description": "Full SKILL.md content (YAML frontmatter + markdown body). Required for 'create' and 'edit'. For 'edit', read the skill first with skill_view() and provide the complete updated text." }, "old_string": { "type": "string", "description": "Text to find in the file (required for 'patch'). Must be unique unless replace_all=true. Include enough surrounding context to ensure uniqueness." }, "new_string": { "type": "string", "description": "Replacement text (required for 'patch'). Can be empty string to delete the matched text." }, "replace_all": { "type": "boolean", "description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)." }, "category": { "type": "string", "description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'." }, "file_path": { "type": "string", "description": "Path to a supporting file within the skill directory. For 'write_file'/'remove_file': required, must be under references/, templates/, scripts/, or assets/. For 'patch': optional, defaults to SKILL.md if omitted." }, "file_content": { "type": "string", "description": "Content for the file. Required for 'write_file'." }, "absorbed_into": { "type": "string", "description": "For 'delete' only — declares intent so the curator can tell consolidation from pruning without guessing. Pass the umbrella skill name when this skill's content was merged into another (the target must already exist). Pass an empty string when the skill is truly stale and being pruned with no forwarding target. Omitting the arg on delete is supported for backward compatibility but downstream tooling (e.g. cron-job skill reference rewriting) will have to guess at intent." } }, "required": [ "action", "name" ] } } }, { "type": "function", "function": { "name": "skill_view", "description": "Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a 'linked_files' dict showing available references/templates/scripts. To access those, call again with file_path parameter.", "parameters": { "type": "object", "properties": { "name": { "type": "string", "description": "The skill name (use skills_list to see available skills). For plugin-provided skills, use the qualified form 'plugin:skill' (e.g. 'superpowers:writing-plans')." }, "file_path": { "type": "string", "description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content." } }, "required": [ "name" ] } } }, { "type": "function", "function": { "name": "skills_list", "description": "List available skills (name + description). Use skill_view(name) to load full content.", "parameters": { "type": "object", "properties": { "category": { "type": "string", "description": "Optional category filter to narrow results" } } } } }, { "type": "function", "function": { "name": "terminal", "description": "Execute shell commands on a Linux environment. Filesystem usually persists between calls.\n\nDo NOT use cat/head/tail to read files — use read_file instead.\nDo NOT use grep/rg/find to search — use search_files instead.\nDo NOT use ls to list directories — use search_files(target='files') instead.\nDo NOT use sed/awk to edit files — use patch instead.\nDo NOT use echo/cat heredoc to create files — use write_file instead.\nReserve terminal for: builds, installs, git, processes, scripts, network, package managers, and anything that needs a shell.\n\nForeground (default): Commands return INSTANTLY when done, even if the timeout is high. Set timeout=300 for long builds/scripts — you'll still get the result in seconds if it's fast. Prefer foreground for short commands.\nBackground: Set background=true to get a session_id. Two patterns:\n (1) Long-lived processes that never exit (servers, watchers).\n (2) Long-running tasks with notify_on_complete=true — you can keep working on other things and the system auto-notifies you when the task finishes. Great for test suites, builds, deployments, or anything that takes more than a minute.\nFor servers/watchers, do NOT use shell-level background wrappers (nohup/disown/setsid/trailing '&') in foreground mode. Use background=true so Hermes can track lifecycle and output.\nAfter starting a server, verify readiness with a health check or log signal, then run tests in a separate terminal() call. Avoid blind sleep loops.\nUse process(action=\"poll\") for progress checks, process(action=\"wait\") to block until done.\nWorking directory: Use 'workdir' for per-command cwd.\nPTY mode: Set pty=true for interactive CLI tools (Codex, Claude Code, Python REPL).\n\nDo NOT use vim/nano/interactive tools without pty=true — they hang without a pseudo-terminal. Pipe git output to cat if it might page.\n", "parameters": { "type": "object", "properties": { "command": { "type": "string", "description": "The command to execute on the VM" }, "background": { "type": "boolean", "description": "Run the command in the background. Two patterns: (1) Long-lived processes that never exit (servers, watchers). (2) Long-running tasks paired with notify_on_complete=true — you can keep working and get notified when the task finishes. For short commands, prefer foreground with a generous timeout instead.", "default": false }, "timeout": { "type": "integer", "description": "Max seconds to wait (default: 180, foreground max: 600). Returns INSTANTLY when command finishes — set high for long tasks, you won't wait unnecessarily. Foreground timeout above 600s is rejected; use background=true for longer commands.", "minimum": 1 }, "workdir": { "type": "string", "description": "Working directory for this command (absolute path). Defaults to the session working directory." }, "pty": { "type": "boolean", "description": "Run in pseudo-terminal (PTY) mode for interactive CLI tools like Codex, Claude Code, or Python REPL. Only works with local and SSH backends. Default: false.", "default": false }, "notify_on_complete": { "type": "boolean", "description": "When true (and background=true), you'll be automatically notified exactly once when the process finishes. **This is the right choice for almost every long-running task** — tests, builds, deployments, multi-item batch jobs, anything that takes over a minute and has a defined end. Use this and keep working on other things; the system notifies you on exit. MUTUALLY EXCLUSIVE with watch_patterns — when both are set, watch_patterns is dropped.", "default": false }, "watch_patterns": { "type": "array", "items": { "type": "string" }, "description": "Strings to watch for in background process output. HARD RATE LIMIT: at most 1 notification per 15 seconds per process — matches arriving inside the cooldown are dropped. After 3 consecutive 15-second windows with dropped matches, watch_patterns is automatically disabled for that process and promoted to notify_on_complete behavior (one notification on exit, no more mid-process spam). USE ONLY for truly rare, one-shot mid-process signals on LONG-LIVED processes that will never exit on their own — e.g. ['Application startup complete'] on a server so you know when to hit its endpoint, or ['migration done'] on a daemon. DO NOT use for: (1) end-of-run markers like 'DONE'/'PASS' — use notify_on_complete instead; (2) error patterns like 'ERROR'/'Traceback' in loops or multi-item batch jobs — they fire on every iteration and you'll hit the strike limit fast; (3) anything you'd ever combine with notify_on_complete. When in doubt, choose notify_on_complete. MUTUALLY EXCLUSIVE with notify_on_complete — set one, not both." } }, "required": [ "command" ] } } }, { "type": "function", "function": { "name": "text_to_speech", "description": "Convert text to speech audio. Returns a MEDIA: path that the platform delivers as native audio. Compatible providers render as a voice bubble on Telegram; otherwise audio is sent as a regular attachment. In CLI mode, saves to ~/voice-memos/. Voice and provider are user-configured (built-in providers like edge/openai or custom command providers under tts.providers.), not model-selected.", "parameters": { "type": "object", "properties": { "text": { "type": "string", "description": "The text to convert to speech. Provider-specific character caps apply and are enforced automatically (OpenAI 4096, xAI 15000, MiniMax 10000, ElevenLabs 5k-40k depending on model); over-long input is truncated." }, "output_path": { "type": "string", "description": "Optional custom file path to save the audio. Defaults to ~/.hermes/audio_cache/.mp3" } }, "required": [ "text" ] } } }, { "type": "function", "function": { "name": "todo", "description": "Manage your task list for the current session. Use for complex tasks with 3+ steps or when the user provides multiple tasks. Call with no parameters to read the current list.\n\nWriting:\n- Provide 'todos' array to create/update items\n- merge=false (default): replace the entire list with a fresh plan\n- merge=true: update existing items by id, add any new ones\n\nEach item: {id: string, content: string, status: pending|in_progress|completed|cancelled}\nList order is priority. Only ONE item in_progress at a time.\nMark items completed immediately when done. If something fails, cancel it and add a revised item.\n\nAlways returns the full current list.", "parameters": { "type": "object", "properties": { "todos": { "type": "array", "description": "Task items to write. Omit to read current list.", "items": { "type": "object", "properties": { "id": { "type": "string", "description": "Unique item identifier" }, "content": { "type": "string", "description": "Task description" }, "status": { "type": "string", "enum": [ "pending", "in_progress", "completed", "cancelled" ], "description": "Current status" } }, "required": [ "id", "content", "status" ] } }, "merge": { "type": "boolean", "description": "true: update existing items by id, add new ones. false (default): replace the entire list.", "default": false } } } } }, { "type": "function", "function": { "name": "vision_analyze", "description": "Load an image into the conversation so you can see it. Accepts a URL, local file path, or data URL. When your active model has native vision, the image is attached to your context directly and you read the pixels yourself on the next turn — call this any time the user references an image (filepath in their message, URL in tool output, screenshot from the browser, etc.). For non-vision models, falls back to an auxiliary vision model that returns a text description.", "parameters": { "type": "object", "properties": { "image_url": { "type": "string", "description": "Image URL (http/https), local file path, or data: URL to load." }, "question": { "type": "string", "description": "Your specific question or request about the image. Optional context the model uses on the next turn after seeing the image." } }, "required": [ "image_url", "question" ] } } }, { "type": "function", "function": { "name": "write_file", "description": "Write content to a file, completely replacing existing content. Use this instead of echo/cat heredoc in terminal. Creates parent directories automatically. OVERWRITES the entire file — use 'patch' for targeted edits. Auto-runs syntax checks on .py/.json/.yaml/.toml and other linted languages; only NEW errors introduced by this write are surfaced (pre-existing errors are filtered out).", "parameters": { "type": "object", "properties": { "path": { "type": "string", "description": "Path to the file to write (will be created if it doesn't exist, overwritten if it does)" }, "content": { "type": "string", "description": "Complete content to write to the file" } }, "required": [ "path", "content" ] } } } ], "message_count": 187, "messages": [ { "role": "user", "content": "[M G] Danke. Der Crypto Price Update MVP ist akzeptiert.\n\nDie Umsetzung ist grundsätzlich sinnvoll:\n\n* lokaler Preis-Cache\n* kein Live-API-Call im Dashboard/Report\n* 429-Handling\n* Git-Safety sauber\n* Tests grün\n* Runtime-Daten außerhalb Git\n\nAllerdings bist du vom vorher vereinbarten Ablauf abgewichen. Das ist in diesem Fall nicht schlimm, weil der Preisupdate-Block nützlich ist. Bitte jetzt aber wieder kontrolliert auf die nächsten Prioritäten einschwenken.\n\nAktueller Stand:\n\n* Commit 3aa67d8 ist akzeptiert.\n* Preisupdate funktioniert technisch.\n* Aber nur 6 von 20 aktiven Crypto Assets hatten frische CHF-Preise.\n* 14 Assets hatten Warnings/Stale/Provider-Limit-Themen.\n* BTC-Test wurde noch nicht abgeschlossen.\n* Equity/ETF Manage UI wurde noch nicht begonnen.\n\nBitte jetzt wie folgt weiterfahren:\n\n## Teil 1: Crypto Price Update robuster machen\n\nBitte verbessere zuerst den Preisupdate-Mechanismus, bevor wir echte Reports mit Preisen ernsthaft nutzen.\n\nZiel:\nMöglichst alle vorhandenen Crypto Assets mit CoinGecko-ID sollen lokale CHF-Preise erhalten, ohne Dashboard-Live-API und ohne Rate-Limit-Crash.\n\nBitte implementiere:\n\n1. Batch-Abfrage prüfen/umsetzen\n\n* Wenn CoinGecko mehrere IDs in einem Request unterstützt, bitte nutzen.\n* Dadurch weniger API-Calls.\n* Kein Abruf pro Coin, falls Batch möglich ist.\n\n2. Konservatives Throttling\n\n* Pause zwischen Requests\n* konfigurierbar:\n\n * --sleep-seconds\n * --max-retries\n * --initial-backoff\n * --max-backoff\n\n3. CLI-Optionen ergänzen\n Bitte vorbereiten/implementieren:\n\n* --only-missing\n* --only-stale\n* --only-symbol SYMBOL\n* --limit N\n* --dry-run\n* --currency CHF\n\n4. Bessere Summary\n Bitte nach Update nur aggregiert ausgeben:\n\n* total assets\n* updated\n* cached\n* skipped\n* stale\n* warnings\n* errors\n* assets still missing local price\n* keine echten Mengen/Werte\n\n5. Data Quality\n\n* Für Assets ohne frischen Preis Data-Quality-Alert erzeugen oder aktualisieren.\n* Alert-Dedupe respektieren.\n* Keine Alert-Flut.\n\n6. Tests\n Bitte Tests ergänzen für:\n\n* Batch-Request\n* --only-missing\n* --only-stale\n* --only-symbol\n* --limit\n* --dry-run\n* Rate-Limit mit Backoff\n* Alert-Dedupe bei fehlenden Preisen\n\nDanach bitte produktiv gegen Runtime-DB nochmals ausführen, aber vorsichtig und ohne echte Werte im Chat.\n\nBitte berichten:\n\n* Anzahl Assets total\n* Anzahl Assets mit frischem CHF-Preis\n* Anzahl weiterhin ohne frischen Preis\n* Anzahl Warnings/Errors\n* keine Preise/Werte/Mengen ausgeben\n\n## Teil 2: BTC-Test nachholen\n\nDanach bitte den BTC-Test wie zuletzt entschieden nachholen:\n\nOption A:\nBTC mit allen BTC-Wallet-Holdings aus Excel importieren.\n\nBedingungen:\n\n* Nur Bitcoin BTC\n* Coin-Name: Bitcoin\n* Symbol: BTC\n* CoinGecko-ID: bitcoin\n* Mapping-Status: selected\n* Snapshot-Datum: 31.12.2025\n* Alle BTC-Wallet-Holdings aus der echten Excel-Datei übernehmen\n* Pro BTC-Wallet mit Bestand genau eine initial_snapshot_addition bzw. initial_snapshot-Holding erzeugen\n* Mengen exakt als Decimal/Text übernehmen\n* Keine Float-Konvertierung\n* Keine echten Mengen/Werte im Chat\n* Keine anderen Coins importieren\n* Audit-Log Pflicht\n* Keine doppelte Holding für asset_id + wallet_id\n* Legacy-CHF-Werte ignorieren\n* Git-Safety vor/nachher prüfen\n\nBericht nur aggregiert:\n\n* BTC-Test durchgeführt: ja/nein\n* Anzahl BTC-Wallet-Holdings importiert\n* Asset-Anzahl erhöht: ja/nein\n* Holding-Anzahl erhöht: ja/nein\n* Audit-Logs erstellt: ja/nein\n* Doppelte Holdings: ja/nein\n* Fehler/Warnings\n* Git-Safety Ergebnis\n* Git Status\n\n## Teil 3: Danach Equity/ETF Manage UI\n\nErst wenn Teil 1 und Teil 2 sauber sind, bitte mit der Equity/ETF Manage UI beginnen.\n\nZiel:\nAktien und ETFs aus PostFinance, True Wealth und Raiffeisen später im Dashboard erfassen, korrigieren und als Initial Snapshot übernehmen können — auditierbar und ohne stilles Überschreiben.\n\nGrundlogik:\n\n* Für Aktien/ETFs ist ISIN die primäre Identifikation.\n* Ticker und Exchange sind Zusatzinformationen.\n* Positionen werden über initial_position_snapshot, buy, sell, dividend, fee oder manual_adjustment abgebildet.\n* Jede Änderung braucht\nAudit-Log.\n* Fremdwährungen USD/EUR brauchen FX-Kurs und CHF-Gegenwert.\n* Keine Scheingenauigkeit, wenn Kaufhistorie, Gebühren oder historische FX fehlen.\n* Erst mit synthetischen Daten und Dummy-Depots bauen.\n* Keine echten PostFinance-/TrueWealth-/Raiffeisen-Daten importieren.\n\nBitte vormerken für die Equity/ETF Manage UI:\n\n* Aktie/ETF als Initial Snapshot hinzufügen\n* Buy\n* Partial Sell\n* Full Sell\n* Dividend\n* ETF Distribution\n* Fee\n* Manual Adjustment\n* ISIN Pflicht oder stark empfohlen\n* ISIN/Ticker dürfen nicht beide leer sein\n* Währung Pflicht\n* Depot/Konto Pflicht\n* FX bei Fremdwährung\n* Audit-Log Pflicht\n* Notiz Pflicht bei manual_adjustment oder unvollständiger Historie\n\n## Weitere Funktionsmodule bitte vormerken, aber noch nicht bauen\n\nBitte für später als Backlog vormerken:\n\n1. Portfolio Health Seite\n\n* Gesamtwert CHF\n* Assetklassen\n* Plattformen\n* Datenqualität\n* Cashquote\n* fehlende Preise/FX\n\n2. Reconciliation / Abgleich-Seite\n\n* Dashboard-Bestand vs. letzter Snapshot\n* manuelle Prüfung „Bestand geprüft am Datum X“\n* Differenzen sichtbar machen\n\n3. Data Quality Center\n\n* fehlende Preise\n* stale prices\n* fehlende FX\n* fehlende ISIN\n* fehlende CoinGecko-ID\n* unvollständige Historie\n\n4. Manual Review Queue\n\n* ausgelassene Coins\n* unsichere Mappings\n* offene Alerts\n* offene Datenqualitätsprobleme\n\n5. Backup / Restore\n\n* Runtime-DB Backup\n* verschlüsseltes Backup optional\n* Restore-Test später\n\n6. Safe Mode / Read-only Mode\n\n* Dashboard im Lesemodus\n* Schreibfunktionen bewusst aktivieren\n* Schutz gegen versehentliche Änderungen\n\nBitte jetzt zuerst Teil 1 umsetzen, dann Teil 2, dann Teil 3. Keine echten Aktien-/ETF-Daten importieren." }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_aPJB5BHKCgjvCyFPcmSxWkXr", "call_id": "call_aPJB5BHKCgjvCyFPcmSxWkXr", "response_item_id": "fc_0af01f7a9e8ef06e016a06cacbc22c8191bb91b78ba5340420", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"finance-system-architecture\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Inspecting repository for finance skills**\n\nI need to act and inspect the repository related to finance-system-architecture. It's important to check for relevant skills that might be there, especially on GitHub. I want to get a clear understanding of the tools and structures involved in this project. Loading the repository should help me gather the details I need. Let's figure this out!", "reasoning_content": "**Inspecting repository for finance skills**\n\nI need to act and inspect the repository related to finance-system-architecture. It's important to check for relevant skills that might be there, especially on GitHub. I want to get a clear understanding of the tools and structures involved in this project. Loading the repository should help me gather the details I need. Let's figure this out!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBsrLb1eyA-nv3sH-PaPyCwodUpnh7RJvh5M86B_ZLi-1nP9nMyrRreBBoEeDOLBQnqvFiRiz2D0vCD5Au-TOh60FUwPHL8AmSsonKcV4z05Qpmdk1OW1yOzvk_SLSV6VwcDk-NFP35_9L5k0uWj3goKgGFAqrRzLfgVaAy9LU-ALcKd_tlpnEU0Q1soZ7KxpXIkRajZ_Cd7MEOv9AFvi-5DvwWPhlrhYij9NZGwYNAHTUkMqN0bDjh85zArW2IeeysLkBA6SzLTpvnUSzQFz9bUdIcX3eWfGqRFCCUsuoCE26qAbjgKaGKtiLmae94IsVsR7kPX3C7_p5FwiUnOUNBa2yRlsPUqBUKq9Jb44GSJjfbnIn_zrCkppu5Sm8fi737njKrdj4prilcVbT9Qfrbj4nyKBmmIlohg9KFOsxkJzJYGpRHKV8Jl5y3X_DWs8j9DMTMa3oG2XaYRD7SdX8pRdSMtBEa7VVpwncEluGet4SyUG0F0Ucw49-tBzEqGfu8jdrJXTkhGTn7UjpA9ZG2L5UJ-BfiTCw1OfUHwET2IqmXddImDTKowYOaeUqsoefrZri45ju8ZK8tbrSf2yPZUm40zOfEo9WAvdvHBwrOMUsyJPEgso2wNXlDUlGkNv_gNsy_pEpYjH5Ls6PzkvAakkuXszb6CVaX_iek0cvU5nqRqYj6pZ2xFY7JW_kl0Qwswq0ChWhBKLPZQ24tLbh7U6_KU6v4X2D32Rq5CP3WwkVvoDQYLT_g1Fsn7XrPY-h34IZUDUcI5JLDbwzN0mCzfb9vwoiacCOvji_ezGZYEWfCq4lu603ti_tq6twMJKh5dh8pNXNX8O3vVJaGPll8Knv6iWSIFmEtk_HsWLjv7nkiWmakdO7efbMk49rcL8Cp0uB7oxWo0qStvUP8_pD0wWbcUeQhM3WkgvsuyJ-5UXkm03A41oAxK5qkmIp_wcV-hGIraG1yiFg8NXj6NH9OagzccZX8a6ND8BUBhjqcRwW3Z9fXXw40cEnKAnsH0Tws9R0VqAdUprNMfl9R8fPUTXkA==", "id": "rs_0af01f7a9e8ef06e016a06cac97e0c81919f3529e658542329", "summary": [ { "type": "summary_text", "text": "**Inspecting repository for finance skills**\n\nI need to act and inspect the repository related to finance-system-architecture. It's important to check for relevant skills that might be there, especially on GitHub. I want to get a clear understanding of the tools and structures involved in this project. Loading the repository should help me gather the details I need. Let's figure this out!" } ] } ] }, { "role": "tool", "content": "[skill_view] name=finance-system-architecture (21,972 chars)", "tool_call_id": "call_aPJB5BHKCgjvCyFPcmSxWkXr" }, { "role": "user", "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. 124 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.\n\n--- END OF CONTEXT SUMMARY — respond to the message below, not the summary above ---" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_uKTDzxsY2c0zLkbV1i7iZCMJ", "call_id": "call_uKTDzxsY2c0zLkbV1i7iZCMJ", "response_item_id": "fc_0c76e56576ffc0fb016a06f0670e5c8191b99d72d326887fcf", "type": "function", "function": { "name": "todo", "arguments": "{\"todos\": [{\"id\": \"b5-1\", \"content\": \"Runtime Review Items für True Wealth prüfen und geeignete Pilot-Items ohne Werte/Mengen auswählen\", \"status\": \"in_progress\"}, {\"id\": \"b5-2\", \"content\": \"Sichere ISIN/Ticker/Exchange ermitteln und Review-Metadaten-Aktionen durchführen\", \"status\": \"pending\"}, {\"id\": \"b5-3\", \"content\": \"Readiness, Audit, Data Quality und produktive Unverändertheit verifizieren\", \"status\": \"pending\"}, {\"id\": \"b5-4\", \"content\": \"Compile, pytest, Git-Safety, Git Status prüfen; ggf. Commit/Push nur bei Codeänderung\", \"status\": \"pending\"}]}" } } ], "finish_reason": "tool_calls", "reasoning": "**Inspecting data needs**\n\nI need to act and inspect the data. I have already loaded the relevant skills. Maybe I should use the terminal now. I want to avoid including values in the output. It’s essential to identify the True Wealth labels, which may need an ISIN. I could use the web for that, but the labels might include names without values. I'll need to query the sanitized labels without exposing any sensitive information. Let’s check the schema and data!", "reasoning_content": "**Inspecting data needs**\n\nI need to act and inspect the data. I have already loaded the relevant skills. Maybe I should use the terminal now. I want to avoid including values in the output. It’s essential to identify the True Wealth labels, which may need an ISIN. I could use the web for that, but the labels might include names without values. I'll need to query the sanitized labels without exposing any sensitive information. Let’s check the schema and data!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvBnT1fncIFcFOIC0fmOjUXAIJ0oElrfi-Hj1pfJZ_fQ6MmPpZDLAuC35Go4HHQvtAzSS_hoQy3LmxgFvIvVFn6Bqd8M8nE9bkfbo2Kt8E2BKoLryHA-WQm5gWW4OUwvcubGxeG40jpJnT4ptCCBSk9I68dO1gXvihFEUTYMCgteiMqXFF-rcMt0fHpxoMlZY_4_bM7JqF8yCUo0vxNwg7dJagZPpTCEi1s27cWzt9r40JS-9iLIYWs7TH_1BhCBFP-j788VscUmuxeOU2QiJnQmTbagi1o4h5vZ2kmNK5_2c7sgjUZp2XqWHo-M3mCheHWj1hzIjfCKKxT1g5B5K2qTeGNa-lcHuDTmZmn7YMkupNhSAzNmuzmup8Ygl3SMu-CKa8fKyIjA1cyKxoN0SnbmPVRlJWrUzz6XgUUVGE5M33DL0h7AD-yXRHOSe1eev3qPVo-AVJDBWozreQCNJ1jAuHF2dVNuAebCRmkZ67_ut7wNFYoc1z2i6gFStplGiedUK_nGP3ID2f9C2mYiXNDKDSrjOGnXtF-f-XE5p7ET3ry4wzKCNXItIUClpa-dcH-wZkyl4I-MIf4X_K5RAdEBBbHXQkWBhOLNeJ9J8GPXk2eXd7Q0EJE3vN7owykrKiACudDitysfx0e5rEKoxkO8f-HUqjKEbdYFxms99x8SJJbC7w42riUAL7OgHPsYHcyF_57Xol1nnYlXKLAikxK7qPJ_cusWANUSb6Fr24xPsfUI6YMbuUZEOpbSQ2uA0W6KCzf2Z9uNoEuiwYvbIgS4hdliOm2CgYgLbCaHs-e8V842w8_e2uEDz_PZpqW63JH8nnb8TK9LkpzDaki6KkpMS2TafnRT_ROqoL9ft7uZqOpYjBAS_ecYHMJSRSeE4sQBfDWLf53pjdb-5q3Y1ToU6XZgEnToqpU6kjn6Jc1-JYLx1QgkoLLcRhxkOdbanUWgvnbXhSnDLygxBtykCSm2nXPc4hlwfBWemrKb23P-oACDQfiOSdEgBJV9K8xa3xmkiRhbmJKQyntyLSOYhQ5RrjMK4tZkeBNjf5t18qhagD0AsM-X9gCltvIrArqOrmc0ltQU76eLw9hJcSblS2j_2vL8np7qoCQeJTuMH0LOoW4GyUFs3Z_RdB2_c59QVDt8JfyNHw5sIyz8DdKZ09iDHiPFJFkFJc69AbPLSyyjfBOLeqS4huhaisWjQ6NfhFVxQKbeUup5Kp2xtiWVhZTFdsznYBFRtYBU6H_kxFWQQ3jHxhyeCV7p5PGDoPiOOr8AJFyhlcED5s2Y9BKZ1yspZaWqRaYOw20Dd_1ceg2Cu_Cny1q7ZGaBJ_Qv2IOYeTNZOyZC66JyOr9xwUX_UQm3cIg362-7CuAm_z6N0NTQL-JBi93jisy70t7mJ3OQ_mVR4xW3G9E0Q23t16sYvUC-hgfpcxbOdgPEBRwml43DdNE=", "id": "rs_0c76e56576ffc0fb016a06f062dff48191a1c45c954b5701d8", "summary": [ { "type": "summary_text", "text": "**Inspecting data needs**\n\nI need to act and inspect the data. I have already loaded the relevant skills. Maybe I should use the terminal now. I want to avoid including values in the output. It’s essential to identify the True Wealth labels, which may need an ISIN. I could use the web for that, but the labels might include names without values. I'll need to query the sanitized labels without exposing any sensitive information. Let’s check the schema and data!" } ] } ] }, { "role": "tool", "content": "[todo] updated task list", "tool_call_id": "call_uKTDzxsY2c0zLkbV1i7iZCMJ" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_pWaHvpZRJ22O5cL6vhoIm3kx", "call_id": "call_pWaHvpZRJ22O5cL6vhoIm3kx", "response_item_id": "fc_0c76e56576ffc0fb016a06f06a49c08191bfeaa752e0b05909", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\": \"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python - <<'PY'\\nimport json\\nfrom jarvis_finance.config.settings import load_settings\\nfrom jarvis_finance.storage.database i...[truncated]\", \"timeout\": 120, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[terminal] ran `set -euo pipefail\ncd /home/agent/.hermes/repos/FinanceManager\nPYTHONPATH=src ...` -> exit 0, 1 lines output", "tool_call_id": "call_pWaHvpZRJ22O5cL6vhoIm3kx" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_mftU9QFJHWrX3yzKtuynYyvt", "call_id": "call_mftU9QFJHWrX3yzKtuynYyvt", "response_item_id": "fc_0c76e56576ffc0fb016a06f078f78481919d0e5f9b723bf06f", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\": \"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python - <<'PY'\\nimport json\\nfrom jarvis_finance.config.settings import load_settings\\nfrom jarvis_finance.storage.database i...[truncated]\", \"timeout\": 120, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Figuring out account mapping**\n\nI need to choose between 1 to 3 options and check if account mapping exists. It’s possible there might not be a True Wealth account. Do I need to create one? I should review the metadata to see if the action requires an existing account_id. It seems like there might not be a True Wealth account at all. I’ll inspect what I have and see if creating an account is necessary and related to the metadata.", "reasoning_content": "**Figuring out account mapping**\n\nI need to choose between 1 to 3 options and check if account mapping exists. It’s possible there might not be a True Wealth account. Do I need to create one? I should review the metadata to see if the action requires an existing account_id. It seems like there might not be a True Wealth account at all. I’ll inspect what I have and see if creating an account is necessary and related to the metadata.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvB4TwMVu1kKh03gTEnIDLKEORPhc7NDy8OCFvNSu3FymSqCISxMw8yIJHPuYaQChupJ2EII-CxnvVl84boipfQjP_AiSplOAGh3CJAHVMrZmzpcXv-bxcBMdXT8rGt0GUUr0zFds4PEhPsR-Ciqw_uD38xYsnnN42HtKR74RWXAE54XORHrzFyNLK7oEoM1gYnwR94hERMRqeN6PO3yZGI3W0hwA8aHHPXYJb5z8UPwhrFi7sitvPyYqmwzsZU-ztoWSl5q4Gop-bHptkIvQnzKLgMiembv_GMqUKPgjvTOffJwxCIgsNazlvkw2r4LGfXy9neJJFv73k79oUsEtAefcMwtbWov_LAGHiIXCtGBVgYy4K7pm84r8B5r_DiN2FI4jiFb6TZTMMytBqcBW5T0y4LPkmVQemr5JsqrnB1uV9BetqhkEuD3Zwfff8D9OVkapWeyJmKO6qvWQ45M3aNOvPhwfSuS0uIgScy-47ibB9eikLK4RKsWIz-yYqH-ShQ0dzkk2HEkVf75TfTRkn4nIVxpypKQJatmaQd-UjbVWgqa7gi8kgj_NXZ4QvAZ8zIO2rIBYq2PTp6ha2r_680VjtTV092TKVO9H3mcb5njL8bTXt-m6AueLMZAc8Ey7SqwZ_GYPHOUEGzYsFNtJCUgGnvpibnnMT_zvhbgAINyiGi7Tmmgd01v_Yz5Al2TjhPTx9aMAHPfbbgsr-Epk7nhCirXmPZL_asmJqvi1-abVs-V_nUv3q6PfIQoFZ25HWj9LCpRM4wdLjIcIc6xFp4CNW03ffIWLh64s_V6wBJuxpg250D4mU8PRCq0RPIZqxXwC-hAFgGFi0jUJPjTtlQgtpIFZDJrdQiTG7xhB3tDmOaVZXBaIxgAfgXb1k_FOfq2kUbV4wjAURVsnfbQqkxHPgGrz0nrlrCapOLuyeIpnUijwGE7_IDWQ5Fjdh7atVBCO8TrG7Rw6Y7u02x52OGTwo4x8e4bqLXY8IUWHb_T7PWxZnR_eJomA8Y801Re-haNC72eRP1vvLErClO74DVhNBUFNjOPHRMwSl8-zDdDURWkDBdJrmaItPiB2JSJCHD-S5L1e_BDuPRYXPU4nztmpsXmAoYar9sSbLBhzsojG6B-LCaGakFd3HYvZjBAJd62XsMaHR5Cuqdj01u5mFwWrYrsH8BO_b8hzW5HS0puN7Ueg_k_whOelfM2BoP0ucLysepetbwkxxhw_tuSd2ReVEamMR9e40vBcEyv2FSFxcxrcECjh1Vlyw0ysbRPPJYUkGBiU2qhaQv5wqhgpRPmlJergFm4Z-mx0yPYGOnhvkqFD5B-VEyg2p0OGFc4KqzY", "id": "rs_0c76e56576ffc0fb016a06f075a290819199b6bc3f7178b8b6", "summary": [ { "type": "summary_text", "text": "**Figuring out account mapping**\n\nI need to choose between 1 to 3 options and check if account mapping exists. It’s possible there might not be a True Wealth account. Do I need to create one? I should review the metadata to see if the action requires an existing account_id. It seems like there might not be a True Wealth account at all. I’ll inspect what I have and see if creating an account is necessary and related to the metadata." } ] } ] }, { "role": "tool", "content": "{\"output\": \"platforms []\\naccounts []\\nplatform_account_mappings []\\ninstruments []\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_mftU9QFJHWrX3yzKtuynYyvt" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_9Q5NHndHNGooSSx3FyHSv3EG", "call_id": "call_9Q5NHndHNGooSSx3FyHSv3EG", "response_item_id": "fc_0c76e56576ffc0fb016a06f0831ff081918cc3a1f335b6c70c", "type": "function", "function": { "name": "search_files", "arguments": "{\"context\":5,\"limit\":20,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/broker_mapping.py\",\"pattern\":\"def confirm_review_item_account_mapping|def confirm_review_item_instrument_mapping|def refresh_review_item_readiness|def _emit_audit\",\"target\":\"content\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Evaluating account mapping**\n\nI’m considering how to create an internal platform or account for review metadata. It seems like there's a need for accurate account mapping, specifically with the True-Wealth-Konto. If there’s no account, maybe we could create a synthetic internal account name. However, I wonder if that’s even productive. It's tricky since without an existing account, I can’t verify correctness. I think it would help to inspect the account mapping functions to clarify things further.", "reasoning_content": "**Evaluating account mapping**\n\nI’m considering how to create an internal platform or account for review metadata. It seems like there's a need for accurate account mapping, specifically with the True-Wealth-Konto. If there’s no account, maybe we could create a synthetic internal account name. However, I wonder if that’s even productive. It's tricky since without an existing account, I can’t verify correctness. I think it would help to inspect the account mapping functions to clarify things further.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvCDQz9JpH48zyPrHT4i4tky0hjdDWSCaWj9wGx58XytsIiRSOEyWtGIZIrtSfVu33Aj5ntUJCL5a0ybYmzRQvuXOn05I6VacknM4ZE-xkRJNpfWZ19diKzNDm_qFN6JaHQGiNYkc8CH8TaRPUlQEzgEga_nJkCKiQvL6i1oSxreYJltHDHJoyuWJju-vQJ1fl93LVivmizD_FFsTySCMOzz_9VgNKlxVp23yj1B5RAj5GzepYbrTDSZJ6Zpqz_Njd2GaRZz83XQ2qgTLSFJpb_V_XYko4Y0ZlUrmvvH2BYKhJUGRWEwiTN4-njZ_ZQsZcSga3QeJqPWbOtGCTO0UsLWGbo1CAroCasAEPu5xsDOlESHoJWc81dwVVaL51tAKzd6wtkBkI7OlWBPtuBNIpbqNWASvEIzMhf6CJ00yEGJGUrwBgTGc0lb8sSkboNmDXeRCqDs-8YtCrVWSPfuRhUDf3yWNDqdgoPmYzHHD4b5vTYGAYOMaq3hD7r6Az1Y9YjrDzg88Xj0ziLXKNkLUivS6UeBp9QB-HFHLByR4EYQLS6w4X0V1L4uMaMv9q9USETeNy2IitWAM_ixqPAAZazl1SqtlbpO0y-Ad-BgnuLAUkiwDe6-owYLPWvaBLnGSTATywBMdI1J3MyKMIPJLnuL72I95HVRAD3_Zem6jBX1pJzxb15D2HND-ZHwBX27aFHp-goXir0QNqy9268irAavaAU1Y0_gnjXtEPE_xfKdEiuU7p57wIcuX__EPdx1ZBeqNMgevgXTJx8UGM7u-Mh5JaY8fuoZGcVboF6YEqKB9TyWypMt9n5HPoVkqOyKM8fO5ziz2gtI_GjcR6PJG_fyT-N6ah0vhabiYNJw7b8I2_egQrknwqmGzwCSAdIPHMi5itefzeh6sc-CeIciVuTo2FuO9zaQBOd_R5WNRfToj1UiELJ4BtkOu7SI9bgGJ5dIQCtp5nGLQAOkgizcq2KASNC97_xF_dDWGErDgHyhbYn60NDwtW2p6kKtfjOJVKG5IH7PhW5XEX0wzhVJx1H_Xv61qbxSZeP_CBbZIHXL7fFqRaF9UC-kUsU2cu0j-Ho2TEQMFqIKATi6UxdF7eRldh_vykKp85Ofg3iGeb4GzrTdmmsrMl5ZQ_iXAgOw8jH1v_sgj39ohS_4Cg8snAO1XL_Ao9E2dbiRFoGvhTplV6i6peGlZY1s_tb1ouNW2lcbcd1bzmNiFa8CnK_wmXcYgEUT1UKGH0K5aX6u1xHAQNQ6CNgmegDoVXJSOmZulVomNXU1eFoiZo-U0jfvxnQVUkU_kDEvb75IfZ5jnVEmJhsCNNr-svv8N3Puli2z6SdzxOpZVpHeTpaUQ4cYiCRB3F9pQ3Vanv5AUNDrtLL0iCSEyy1Kpi_UcczI-1FTte3_-EszQNuwtzNUC9KfHooysNb3gZJlOyjtOlfaaCgK6tXlGLE_ED7fB3ZcmHBJkdEmxDHfVplRASKE0mgfP0d-sL02kwun-O3REaTYbZIko4tEMD51B8PO5nU49CQYPOO4vwXdkS_UWpUZpc-hPM_dOTwoNkNqquYJQLIJr8L1-s2zXQWXChMxH62tSFgjxavs53_HQD7pjRiOfZ8Kgsz8KeMUVwdNB1buN5kkuZDlZ1NqnRrICcHX340TWYtbuU06YJhztDm2qmym6HfFynsxwxbM-vVimRyWHC1rZt2TWIVrwRy8gNoiiNkHwGpMl4bRMUFzzZv-Aw172gtWcc27PAWfoK4cUi4ZUwgjjO2_7rMqO8YJ_q8ZOMeuiOzW6z3RVlI6WGA8JCGibNlZFJyFQ02GqMru6NSX3WJhzKgTAD4=", "id": "rs_0c76e56576ffc0fb016a06f07e2e7c81919da6129ce7218dd5", "summary": [ { "type": "summary_text", "text": "**Evaluating account mapping**\n\nI’m considering how to create an internal platform or account for review metadata. It seems like there's a need for accurate account mapping, specifically with the True-Wealth-Konto. If there’s no account, maybe we could create a synthetic internal account name. However, I wonder if that’s even productive. It's tricky since without an existing account, I can’t verify correctness. I think it would help to inspect the account mapping functions to clarify things further." } ] } ] }, { "role": "tool", "content": "{\"total_count\": 0}", "tool_call_id": "call_9Q5NHndHNGooSSx3FyHSv3EG" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_PhKaFEfnPtt60HxbPVzyo9uP", "call_id": "call_PhKaFEfnPtt60HxbPVzyo9uP", "response_item_id": "fc_0c76e56576ffc0fb016a06f087ca9481918269ccf645941a15", "type": "function", "function": { "name": "search_files", "arguments": "{\"context\":4,\"limit\":30,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/broker_mapping.py\",\"pattern\":\"confirm_review_item_account_mapping|refresh_review_item_readiness|reviewer_confirmed|account_type\",\"target\":\"content\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"total_count\": 0}", "tool_call_id": "call_PhKaFEfnPtt60HxbPVzyo9uP" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_Xn0I8FdBhPcsgWlyyxyVov7l", "call_id": "call_Xn0I8FdBhPcsgWlyyxyVov7l", "response_item_id": "fc_0c76e56576ffc0fb016a06f08d8d9081918f6b5b85f6b1502b", "type": "function", "function": { "name": "read_file", "arguments": "{\"offset\":500,\"limit\":360,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/broker_mapping.py\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/broker_mapping.py from line 500 (21,223 chars)", "tool_call_id": "call_Xn0I8FdBhPcsgWlyyxyVov7l" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_fBq9AWCb75e221WTt8cWjDxJ", "call_id": "call_fBq9AWCb75e221WTt8cWjDxJ", "response_item_id": "fc_0c76e56576ffc0fb016a06f0a524808191944123cf7e8aa146", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Runtime Review Items für True Wealth prüfen und geeignete Pilot-Items ohne Werte/Mengen auswählen\",\"id\":\"b5-1\",\"status\":\"completed\"},{\"content\":\"Sichere ISIN/Ticker/Exchange ermitteln und Review-Metadaten-Aktionen durchführen\",\"id\":\"b5-2\",\"status\":\"in_progress\"}]}" } } ], "finish_reason": "tool_calls", "reasoning": "**Creating account instruments**\n\nI need to create instruments and accounts, focusing on metadata. I should find tickers and exchanges, possibly using ETFs with ISINs. I have some tickers in mind like VTI and SMI. They prefer US ETFs from NYSE Arca; I think we can confirm that. I'll set up an account in the True Wealth platform and ensure I have the right account type. It might help to review items and maintain an audit for account creation. I’ll consider using existing functions without code changes!\n**Selecting ETF instruments**\n\nI'm planning to select three ETFs: VTI, VWO, and either VGT or UBS SMI ETF. I want to create instruments with an instrument ID if they don't exist. I’m noticing the detected currency is CHF, but the instrument's trading currency should actually be USD. If there's a mismatch between the detected currency and the instrument's currency, it could be confusing. For the pilot, I might note the detected currency but not include it in the final output. I also need to confirm the snapshot date but it seems to be missing. Should I mark it as confirmed with a quality note?\n**Marking resolution status**\n\nI need to decide whether to mark this issue as resolved. Marking it resolved will set the review status to \"resolved\" while the readiness stays at \"ready.\" The user has requested a \"ready for import\" status. It's a bit tricky because if it's resolved, the status is \"resolved,\" but readiness remains \"ready.\" I need to handle the counts correctly without creating any duplicate entries. I’ll use a script to summarize counts, validate ISINs and tickers, and ensure everything is properly audited without any unnecessary writes.", "reasoning_content": "**Creating account instruments**\n\nI need to create instruments and accounts, focusing on metadata. I should find tickers and exchanges, possibly using ETFs with ISINs. I have some tickers in mind like VTI and SMI. They prefer US ETFs from NYSE Arca; I think we can confirm that. I'll set up an account in the True Wealth platform and ensure I have the right account type. It might help to review items and maintain an audit for account creation. I’ll consider using existing functions without code changes!\n**Selecting ETF instruments**\n\nI'm planning to select three ETFs: VTI, VWO, and either VGT or UBS SMI ETF. I want to create instruments with an instrument ID if they don't exist. I’m noticing the detected currency is CHF, but the instrument's trading currency should actually be USD. If there's a mismatch between the detected currency and the instrument's currency, it could be confusing. For the pilot, I might note the detected currency but not include it in the final output. I also need to confirm the snapshot date but it seems to be missing. Should I mark it as confirmed with a quality note?\n**Marking resolution status**\n\nI need to decide whether to mark this issue as resolved. Marking it resolved will set the review status to \"resolved\" while the readiness stays at \"ready.\" The user has requested a \"ready for import\" status. It's a bit tricky because if it's resolved, the status is \"resolved,\" but readiness remains \"ready.\" I need to handle the counts correctly without creating any duplicate entries. I’ll use a script to summarize counts, validate ISINs and tickers, and ensure everything is properly audited without any unnecessary writes.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvClWisPUWPLYrGwW5JoZBtC1sZc4OXiAw-qbOZ3HqRvtM5RujP9vQUU0zX-z0c7thYQK0oDOFEPXU3Yb_7L07HCqXkNUdipg3FifhJmg5fzruxDGLVr1P572ENbaWwjBrC2eIQ-SjZuoPgCHHB7NeXidD5S8eb2BVvfRnGRcx-htk2i3OYYrsRbIov4diYGDgawRgVxJhxgDL__lkbbXN2TEY-S6mHgF13dfy78KTtosgCVpqtcmHnxnU_VWZ1MNrbrEVIbEHlNQDysZqd450EBqpiTAKDy_fdNNAHwdUv2ZJNEc2EyHNH_6Pjk_TI8Da7iyBB_ejUi4nN7sFD_EmuZmQZmki2PZBgO9SWEvkjCO4g-ruek7g9Qcn_VgLI4lf8gasGtQHjT5V4UJeqaHThBb9SpXnlvXJ-mj35qERleLQ0HVaRU_im-DxipjCJC12KUYIxiUg7WWsrV0JpB_5zBf20XnaNcsYCgZ178mBzgMKGOSPWxCWodDfLIyRHPgAHNCnISrCryPTUBZEcjmHzQLjSQa0uUGDPbcUp0roJtS4tESgld9L_kzv4AJ9rH8KnHL1FfpbbHxfzRpfeq7UwPGj0Qg8xNaXUfE_3tbZ6PbnThdxFMA3U8phJHNMjDfGoxHxEUpOAGqQ3vGnyWcArPA_i1Qhm5tkFwvq_FMaqReRh8drx8Av9vT791NJ3z_k0nuw5Ep1RmLNISoyjD3UVSs9xNYCzc4CwcPQAIL8C5BK_6dLKVLZD9ELjYL9XUPo5lb4n89KxI5utyJQI8Bxvn23px4timokjbtm9L1M30HRROJONuvfSJpFSSHr4sbG-29UXMqzogIVSog-kCU7uZweEVsticNq47vka8BJPpIvHMNym0xgz4lLsHlpZmLBeHs4pWoelIGNAFJ3Ce-ED7tU6iqL1oP1gtCkw3D6-307kNsl81jXSgTeYrYBGcbLAJuagla4Lz7CQ7gGjVTfDqp8eishXXGM3yve0k0RwrlnDWsDqpfE_tmlIRAZU6GcQ52qpNmon0Pz-XE46yDxQ-gbBiBK4Dfp6yHbiM0xOGuG-PhIR9SCwIriC1JkYZSjfA45mu7k--w2kzIGAmBq5B6tqJGcbGyfnPfrIWdIDUjX8eM8UuANtp4UphcFyLs5pWO1dmpDR5w0BuyHuVVHPTCj857WzhVd_0TM0S5wbFkczZEXBiiDYhtoKwbE8rHrUXaNfhEFxuerhYSd5KYwd6rKvBgSmGg4h9LLeAAH1hrL7OAzxMr8QJgmSgVXpvszNFixT8os4N_lEEcChLra-_vaM6GIrdqNYjOqJ_xXcIYbxUgc1Ivs7Bp49ktqy8cr858R2uuwWfdzlrcRzPqX9kAdqbBSBgRn_tN5HjABlRJusO4CIT7WAdwG9tV-X8B_FwO1VtiYF7oLjP0h8zLy9lc2KY79d6jpqGyMgS32zoV5X8s6khF8h_sVHLQ-NCEETU4lVomoud8l2Go9qIMI5L4cUHu_eLOlQYaUeyBjdBs7KxQK8dhWNMQTdBMLnkK7UxI1DwQPCdGCb1N_PoQNCJltm3RMu-iVjTHkJsvXmRk3wodB6ueH45o8E1rXU75ve-pmVb9tdCTEp5BJO4BZZbqpxmfV12wPgezgKe6p7mIayzZB-YXce_HTqfzg4kfOFD5uFsldWvpNycwHNsyKFgW6G2tBzbIQc7MVOwlm3xLg2ZzdZ6VV-5eWyQeFjISMoeHoYuVGBXc3SHxfaHeXv4EBCfyGxBeUpgZ6JxLUHS7I1iDHU2-kiVz_i6LUH4YEQhLokUKbgav5nci7m6bR8cxEelZVO-r4ItpKHxSce6Txi8z1GrYv8OaXUjLxGSWhXrC6MRUuBLGIdilFKltIFdBUKLjjsoLJZRyvPwZnQfb-sXM5Vi_JdvpPCO1x67QxJOakpE-LBzZQJZqXjhuQZ-LDyHxY_Z_-Y9NOS35lMF-p2SG1E5NbqUOjQuFEYMDBbm8d8KlwzaPEZjj5QWqvFo1W2HNC6fUNmgV9NU9E18NFnAAk_83tBQ39TNOPQEDsFojZIRuGA-tt0SuP0P7yhXhyRjcS1zwXf_qVjBYZwJrzEROwE3Cty9zHBCSyIGu98h70F2c4OGLXhcXE68I91MJ2sqdu2DG32-1GNvAixVw92RD1m4sENR2HgxWrpSDQh8clNsFl48CM_eDinv3_HrnY_kk83v1kbyB08n3nOblogrpk3wN_F4Le9Wku5UP5mqy_3aKSkqv2GVMRdc3QKKfXEH7RinD9cMyaza7hQdD2a52Lp3AOCMiiXIGroKMs9O3-a_yqXbjmxyXBmZE6r9qovRakK5w5bh_9UDQcIgJ1Bo3r5df1cXdY-dDDLvm8LvlxVb9X3JEaq7SmKYMY-eN9E7sh2hafjIEMjb_KAptnVKhy4Sw9WdalkguGCagdhaTOSfwwPJB8Vaj0YDsufAW6YjHjd4a0Lfv7DUWEmT5hbMVB9dqfT0JVcaaBni9j8v2h9Bj3gIo4575UiY_t7w1dI-5ddJOTOU3dzn7iP7o2fSHKWlgi7axL3J7ilcPfeSoPs_3pALR1Rc9s2FmHEhkDoU2MpZUtmb0KyUcoX9HJvmhCiZUVRCFE277YRif8l6e1qU64TUMq3HoMLQbBULdc7An2gfI9jyHXkxt9KzJ6BWCp0luezzTo64MIwZJOxDO7_j3d6LM8OpiJvvhAwZYDrj6KHXoIorYa0fP_v9DXtsNxHP5nywA973Xx3xtDAouIdIZioyAAs-jPhH_sg_7JDSTwDbusI-ZPeTky7Nvi6CQFDLn9FkjXd8QRQSHIttWYeLBJyF096SQQRgjHTvsXnSvzcuRdM4QnfEmzHXU8pPC_0DlJdCmds0GjBOu82K8xDe7RYpPE478RBTjlh_78n48kOmuytwVinV6rdi1QU08yNhi0nVvt3gKYIcrYwWnmctGNitsT1QY5gm3uyyHBxtINFBbWrEH_WKG6NcJFOhUtPxVw9sgSbZF7-5SBaIKiyg_u5x3MG2_gXiMRIvuGAPv6t0Lr69pRAqLI8n1T5VWgDD63r6R-CTzIEGO-V3uePvT_VMGj8_ZSDeSsw8s_osM320tFML16rguo7LJTaCgyikB-PI-wBrV8A_I4h1SA_NukvAj875J_77iwqi-oITqZZmLCvmYhcfxhKAiDV1bruPBpuHsDqvmJ4FwNbURFakWm90T0bh04l28dxBMgRnUu4yXFnfKlJs0XY3h-2l5FuM9pcr_hROgH7FkjZZ90KMxBPFBvpzVH9nWVDZA7PpBJ8aphQ_NhThbcZsiVGTZWJRsizy0gmAADbkdgMhExuK_6RiJOzbuqma1FayebzL-fdwHRKV8XLDSkonETaVtgvykfn3SFxD6wEC-OJGFqLDnAihe_yL9UTjNAly7WE22r_Sv5gm7HOTk3DFTGRlfBNRjFow9tMQcj65TKDdFdUnln5DHSgY9aQ6HY1FaTaicREYHwmBvHOxsELEBI5BEtaZB2LpmQ_h3fD1lTEGAbt0I-jH2o9OXWxL2jci7mG2672eBVYcVoJ2rbgQChFPlKAL7b2FdxM_UPI9GKBqXP0cbEfbev-eVobfv631Id9tzU9PH6KL9oLUA_VCxa9qu4V1PY8iOq5yKAK6AccwFXOgb_E2LlUqraYScdtcHAQgXg6f7SKMjp8BZQcAsvQusfBKKxZHp7ih_duQpZbkaF4C0rli-_j6AcqvGT4AnMh0db3sRKT2DotI9TPPofXc9ZPKiDFRhVBW3W8AbY9AfRa3vRFdJpWqd8_PVyt7evx0qY96b2cOwN8oXYInaoxbjVKsYsTorfQBlKqpVJjHJRQlDwJpMCLuECHk4td6WDJUcbhdd6xDlGSEN-LOpwOAKNOgcOOs2uVrK_brRely7-1x6L0yMH2BiIw39zAA6kVeax8VYR598f2BG7s7euYpKNx3M05T0cfz2QuhXxlwrLni8loYgKzosBZRKbPVLD-OM88k34SO8a6gyLvjwauHl7JsglZHiXQNp0OJRCDWCFu-e3YQePw8KCg3TtXPT_QjxHzKB5tdDei7heWYXoJv8XyCgRgQ2frXAblhQNkfAOnioPZFMIUcY-bCP2vgCeO3TP8eH0QTq3B4VsKCbuWWIlVHUQjPBvE09hFjw6PVG3V9qaO37Mp9ePgiBdBomUb_qETShkYZx3s2IvqLDZIzhUmPD5-xgRCgmuwlj4fBwOExTJaKtl-jKG5wXrItY2ZLOdmYet4OcC12Nkujt8I=", "id": "rs_0c76e56576ffc0fb016a06f094f6708191919a3d38330e8d79", "summary": [ { "type": "summary_text", "text": "**Creating account instruments**\n\nI need to create instruments and accounts, focusing on metadata. I should find tickers and exchanges, possibly using ETFs with ISINs. I have some tickers in mind like VTI and SMI. They prefer US ETFs from NYSE Arca; I think we can confirm that. I'll set up an account in the True Wealth platform and ensure I have the right account type. It might help to review items and maintain an audit for account creation. I’ll consider using existing functions without code changes!" }, { "type": "summary_text", "text": "**Selecting ETF instruments**\n\nI'm planning to select three ETFs: VTI, VWO, and either VGT or UBS SMI ETF. I want to create instruments with an instrument ID if they don't exist. I’m noticing the detected currency is CHF, but the instrument's trading currency should actually be USD. If there's a mismatch between the detected currency and the instrument's currency, it could be confusing. For the pilot, I might note the detected currency but not include it in the final output. I also need to confirm the snapshot date but it seems to be missing. Should I mark it as confirmed with a quality note?" }, { "type": "summary_text", "text": "**Marking resolution status**\n\nI need to decide whether to mark this issue as resolved. Marking it resolved will set the review status to \"resolved\" while the readiness stays at \"ready.\" The user has requested a \"ready for import\" status. It's a bit tricky because if it's resolved, the status is \"resolved,\" but readiness remains \"ready.\" I need to handle the counts correctly without creating any duplicate entries. I’ll use a script to summarize counts, validate ISINs and tickers, and ensure everything is properly audited without any unnecessary writes." } ] } ] }, { "role": "tool", "content": "[todo] updated task list", "tool_call_id": "call_fBq9AWCb75e221WTt8cWjDxJ" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_7R06k4rZ9anESurMgbWIdNdC", "call_id": "call_7R06k4rZ9anESurMgbWIdNdC", "response_item_id": "fc_0c76e56576ffc0fb016a06f0a9db948191ac93611ab87b3b84", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\": \"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python - <<'PY'\\nimport json, uuid\\nfrom jarvis_finance.config.settings import load_settings\\nfrom jarvis_finance.storage.data...[truncated]\", \"timeout\": 180, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"output\": \"Traceback (most recent call last):\\n File \\\"\\\", line 30, in \\nsqlite3.OperationalError: table platforms has no column named website\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_7R06k4rZ9anESurMgbWIdNdC" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_0iUpKpAaL3dJDGQzJnIdqPtN", "call_id": "call_0iUpKpAaL3dJDGQzJnIdqPtN", "response_item_id": "fc_0c76e56576ffc0fb016a06f0ce31208191b9939ebf71765049", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\": \"cd /home/agent/.hermes/repos/FinanceManager && PYTHONPATH=src python - <<'PY'\\nfrom jarvis_finance.config.settings import load_settings\\nfrom jarvis_finance.storage.database import connect\\nfrom jarvis_f...[truncated]\", \"timeout\": 60, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Investigating schema columns**\n\nI need to check the schema columns, but it seems my script might have failed before any writes could happen. If there was no transaction committed, the connection could automatically roll back when closed. I'm trying to recall whether SQLite has autocommit settings or if the default isolation leads to an implicit transaction rollback upon closing when there's no commit. So, I should really inspect the schema columns to clarify this!", "reasoning_content": "**Investigating schema columns**\n\nI need to check the schema columns, but it seems my script might have failed before any writes could happen. If there was no transaction committed, the connection could automatically roll back when closed. I'm trying to recall whether SQLite has autocommit settings or if the default isolation leads to an implicit transaction rollback upon closing when there's no commit. So, I should really inspect the schema columns to clarify this!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvDOp2qHs6-j_mB_xxBfeF3Hkc4G_iWtBaSw-NN6Ib3nKZm__UtFz5B7USmlCKwDtjkvVkU2Ee8Lx50NWCkCj9if2eCg6t9txRXCyPVCYE8sSRkMIAplny2luo-b4n72MwaZeuX9G0FVtYdcFG7wXSy8Ez9rMiQnJCUPmO9eJ5AqU3-yqnxtz6GeNjlZkS8XIFCNDtW7lfguFSMUaC7dLRsgqBRbu_LMZoONnhFbJ52nRHcovMH8m-OxY9SHun2jYpSuGUcD3JdF1UEuTuOA-Y9gAXeWREkaQvXCgK4PNR-CeuDWRX9Fh_0mE8VntgYxgnDR4-Ra67QKcz_gdSz29UyBAj5Zs01ySUJ2Iomby-JRPvzxdrBR4k7jXImkKKQSIbdBCs-LcNn7A3fFbg8SBv3WkQV3YsvUrhA9VVu6QwkTfz6NGb_JkA-N42f0QyHZa_n5ILTcMzqgziT-rER6c97wz_sNFbZM3OCJPiH-ap4NVGZbbLXPJD2DHGlBwBjUqK5XOolPQpEJLWWiWAwGktxQmXVGeDv6mAcUu_YjqciOggjVfbLOvWHz6Cb1TmnRUtylXvC3cjT34t9n0dBu0awuVGttZozp628nbWJlTKuCW14ye-pkZo9gSN-ZhAR3KikYHEmxEtR2aYi9k5ueWoUJ3RhIKTN0dDlI2-bJ2dN9484wjnHGvj_4ohYjdhtVRQtwf2Cqxb8i6bre2lqXL451wlXgW6QP-GBq4J8pA-s3SqkYIcm3ektcOu0uy-kiOhPa7ZJPX_SGAqS_YMMjFNMqBIbvTm2NG4pqostXK5fq5PW_UxUJd-u0fvqwbz8GVZbk1TwjFOGy0q5u1N8j6xV0L9PUunQgseILSFvqJtqL9Qb-HGE1DJ10NQO31Vq0Zo31Gqlg3ev1O61lhZWlcAhR8icE4dOvDcWJnh-Qg-MaAaeL3P_RRf1KBACpDP0dFgUAJYq4ihatsTT74DMQUzIHw4d5DLtvJZQTee52hXI134Qbf9j1yrxjlC3li6kf41lm_Rw_WzAvPpdW187Wx_oUQdjHVlKg3KkTiWjiYvtmZ0s-BOUSgSoRYK_IofPpJKZpmv-ecBhkNsgBvLsGGRZdUQzgZNhP5Vejf6ehYpS9_uACLQZvxkJxrBdL1X0uRj2jLYgxLQmBOBmz49k3tIpsAU-oePxA06wMZDDt7P8vVJiBoZnWTYV6mkal3_3B57wFrY_SifScbyQSK0Q9avx_OfZPQ4zaxW5bkJ2GRFxERpIcKSCQeitYuDpThR8S_Zrq", "id": "rs_0c76e56576ffc0fb016a06f0cb1db081919d8a6164ca663ce1", "summary": [ { "type": "summary_text", "text": "**Investigating schema columns**\n\nI need to check the schema columns, but it seems my script might have failed before any writes could happen. If there was no transaction committed, the connection could automatically roll back when closed. I'm trying to recall whether SQLite has autocommit settings or if the default isolation leads to an implicit transaction rollback upon closing when there's no commit. So, I should really inspect the schema columns to clarify this!" } ] } ] }, { "role": "tool", "content": "[terminal] ran `cd /home/agent/.hermes/repos/FinanceManager && PYTHONPATH=src python - <<'PY'...` -> exit 0, 1 lines output", "tool_call_id": "call_0iUpKpAaL3dJDGQzJnIdqPtN" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_yDTaM1F5u3s1Yq1JY1dOO8H6", "call_id": "call_yDTaM1F5u3s1Yq1JY1dOO8H6", "response_item_id": "fc_0c76e56576ffc0fb016a06f0d2017c8191b7033c3195e90465", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\": \"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python - <<'PY'\\nimport json\\nfrom jarvis_finance.config.settings import load_settings\\nfrom jarvis_finance.storage.database i...[truncated]\", \"timeout\": 180, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[terminal] ran `set -euo pipefail\ncd /home/agent/.hermes/repos/FinanceManager\nPYTHONPATH=src ...` -> exit 0, 1 lines output", "tool_call_id": "call_yDTaM1F5u3s1Yq1JY1dOO8H6" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_LhIAwZ4BqEPK3yDsrZHNdz7w", "call_id": "call_LhIAwZ4BqEPK3yDsrZHNdz7w", "response_item_id": "fc_0c76e56576ffc0fb016a06f0f50d848191ba442b1f3f3c3dc4", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\": \"cd /home/agent/.hermes/repos/FinanceManager && PYTHONPATH=src python - <<'PY'\\nimport json\\nfrom jarvis_finance.config.settings import load_settings\\nfrom jarvis_finance.storage.database import connect\\nf...[truncated]\", \"timeout\": 60, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Investigating readiness issues**\n\nI'm noticing that I didn't reach a ready state, and I'm wondering why. It seems like there are flags such as cost_basis_uncertain or snapshot_only that shouldn't be blocking it, right? Maybe it's related to a detected quantity being present as zero? I think I need to inspect the selected rows to see if they are present or if there's any other reason for this holdup. Let’s figure this out!", "reasoning_content": "**Investigating readiness issues**\n\nI'm noticing that I didn't reach a ready state, and I'm wondering why. It seems like there are flags such as cost_basis_uncertain or snapshot_only that shouldn't be blocking it, right? Maybe it's related to a detected quantity being present as zero? I think I need to inspect the selected rows to see if they are present or if there's any other reason for this holdup. Let’s figure this out!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvD1sJPynI6RdNy0BQ4NNb7g2GeZZnuICTlQaSBa5n1wS9jFXjD1WNDpTPBdU8qyAoY_EwubgpK_Y_wcMVruWpubiMCN5qfLNb5KAX0DuTPtmIK5ysdeKNf019BzP0_jybL78tLpSsFcy-_pv_7hf7mErpDp070LFgmUCddKlhTMD7D0lL27QJkkutbuXwJsS1GhpIp5qeFGw77n2EP1ZeSYrL54LqxvwmOm7IjIZF6q0alE0VwiXopzCu1HT1lNVqeAOmoTx09thtPK9Byv0krL1-iTb6SxCmc7pNqdZnBpNoSgfwHO7faQj0A_g0VSzZqs2e0G5l6Sxb4RXRS0PHlc2cLKaoGdTIW38gaB8UFgo3P_Da0c3aYUFzkkKkXixPfc47fsQPRsNUFCdqdQwlWY_dh7R4d1YX1BXgnl3QI2CbD-LqaJYf-SEQGFYq67xaDKGjMIDva2AEI_CRp1A8r4cDyW4woU2g33HqZK0TXWay2EbpOWTGoTOEphngiZ8FlK7G1QDMJcErsazW6LQmU0NkGqaE40TUBPburSLYxxIwHkegBcSlVZ5UgN1QApW-R-RvBfLhsDW-Gg0i1UfFta0B24wbX93zd6b1pMImyiG6nSAq21g1A_FBKarWNQhdk4CnZalRbxugnrGZD08GQwSaLOQw90NO4xh_w__Kr17l3pUu0H61T5jzijetBL-7JJrApw5B0nvXV1WgIk4BlhL-ws7gaAgjFZ5vJYZkPvgdsSNkjgUlo6kNAfSEoJIhvqxrUulC3yk3tZL71kh6U6SFQMmskm6ZSq7TopUZg8yKBJrdDTvB7p1fXF-YcwfM8FxTXk53zKIjH0WCuKLSqXj-7wyNSb1kvNKUNceyZGSVIwpLlSzTsi6mwlWgAsjcvW-qOvpWzkJlIAhtFWihSPV8LlQtBIpaq7GooHyWFeCoEoZR7lKlE1r7Hf5XT2SkHygqsnCPmwlUBsPFkInnErMjYptzsOIbz8Q6Ycu8W4HCrnSE7SSf6cPSkm28CVJwCsYYCQvkpJQT_nBxCv8-h81Ovu46RHqfxo4irYRAUbmA0vb7ZBNuqBpvPPnK957Od9Ifqes5nn-JkKtU7M5TnScp0SbXJPuZIYFndpA21duBvtiwmmRvwF4g284TOTAEE0-Xw3ot4nnwIEEwEbjreHIA==", "id": "rs_0c76e56576ffc0fb016a06f0f29bec8191a3558434d0ee9d21", "summary": [ { "type": "summary_text", "text": "**Investigating readiness issues**\n\nI'm noticing that I didn't reach a ready state, and I'm wondering why. It seems like there are flags such as cost_basis_uncertain or snapshot_only that shouldn't be blocking it, right? Maybe it's related to a detected quantity being present as zero? I think I need to inspect the selected rows to see if they are present or if there's any other reason for this holdup. Let’s figure this out!" } ] } ] }, { "role": "tool", "content": "[terminal] ran `cd /home/agent/.hermes/repos/FinanceManager && PYTHONPATH=src python - <<'PY'...` -> exit 0, 1 lines output", "tool_call_id": "call_LhIAwZ4BqEPK3yDsrZHNdz7w" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_YvNBV6HhcwxrqA8Kg28OEzSr", "call_id": "call_YvNBV6HhcwxrqA8Kg28OEzSr", "response_item_id": "fc_0c76e56576ffc0fb016a06f10273708191a5fd0b873f73b013", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\": \"python - <<'PY'\\nfrom pathlib import Path\\nfrom docx import Document\\nimport re, json\\np=Path('/home/agent/jarvis_runtime/finance-system/imports/broker_mapping_analysis_20260515T082614Z/260514_Portfolio_T...[truncated]\", \"timeout\": 120, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Examining candidate positions**\n\nI'm trying to make sense of what B3 mentioned about candidate positions. It sounds like they’re not necessarily talking about the quantity, right? Maybe \"Positionskandidaten\" in the docx file only includes allocation percentages. I should look closer at the table's structure to see if those redacted numeric cells provide more insight. There's definitely something there to unpack! Let’s investigate further!", "reasoning_content": "**Examining candidate positions**\n\nI'm trying to make sense of what B3 mentioned about candidate positions. It sounds like they’re not necessarily talking about the quantity, right? Maybe \"Positionskandidaten\" in the docx file only includes allocation percentages. I should look closer at the table's structure to see if those redacted numeric cells provide more insight. There's definitely something there to unpack! Let’s investigate further!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvECD8Ltx-GTMu0lXhQ2vMKHSmUTEmqHcD57q8NQsEaKrEyZ2D4YbOH_fpf3Jf6hdjJnBQwOikCTqoFuK5_H7gELCifWPdpJ5xZZY6Va6yXZHFZ1Is1u-M14PmOZVLZWgGv9AswGrX0A7av8PiWpfR-inCUQSgzgsZ16v50N3a2NGl52_akdkVprqyzVlb3dzTKNGqtxAaY1NTXyGU_m3v3Okkixi_zRcIJjShfK_0zoe4q7dGGS0AN3fhWbFirHClyJrdk952R2aoln5KQt57Yp21XpQOBGn4JgBgEzU8gmFgOcwkdfitlTjqlwgPN_j3190iXqEmjZr1fz-PNchwuN6_2eSCLqwu3fFlKok-_nSaDCHiIC5UfteKo6v7uLQ8f-dTgvMGEo-ikPKsj38OyB5KaleTAgmFpF2fGw3dhAefkOnBUzlV39YU7cpCmo0mWj1Hp6rQEAo94haCf0dx3YcCdmF0Li95b7HN42UuduaFRsgzW_FiXgvXZs-ow87OHkV36VnZuaFptkY9fftynlNo2V9kn0ukknsYXM1gvBDvZjhm1yAt872CZaqfiwbhwwkC7MFoe50vSiggklSnkbF16jRP9jodC24LGAd6fCKHd8UCcPzwQsXcrpdxkNBw3-s3qlVpakwgn2FE-yGSDP-ztieJ87twaa_dPeei4IBANjNyN5a6Ts9RL3ZTmtdeHfgQYLAHUGkLEexNxpnjTmhRhSL3gtzLN1guGaxRJuTtbAYTUpfmempDUEbZx4waMEgMkncC8UEhUDLxKHSWfEYBddsHM3cUyNhb0bghzBirj73ScaL26pF4sd8ZDHskmonZsllbtktueVqEMDxdoOv2sInE2Nq4AmNVaCF2hGLheB_cyKYmyUxO4VUrk4DgB4rDNU6ZF7066uS0xE5ffVQc-5p9SHCY5PTt7Ilpjup77v0RLpvXNd-k6h2ytUELMWfk7Z2WSmL_nfP6O9rq7UdU6LrjnvxVbAOnmVGn9iPfpAMMu4ZOF6mI28TUYkjVYAH20crY7umXttBEsiRZs1tzYWggdQaDR0DDfbEa3kudGkNovo8bKcjdH-EcmkZItyfcJnCDW9Imp2s6kN2m9KLP1Ul13qFT5EhhFKr-SnC2uCiukYh-Lmy5WCInS1mTa8okzo1qYf-w0N_LGuxnw1w5-XtK_Q7xu2MK0guJLKmdWIQMhOauzNsxcuAW5tK8gcCtZXh6FLCUGjF4LLAo_bSsfXke2SaMUoRY3KDPfpl4yx540d7qGOhnouc8V7Mq-djF-AB4IZxaW58X5f20GQe9AnQiwnOT9JS3EBpEyhQ3RqU9YlErWWN-KG0IoEV1f-F5OK7REqR4Rke6me6q39W-Edk82j7GKrnFk10_CLmVn05BdKnsBK4pX1dJuSUNy8SgZLDJxtvqUNubupOBdpgKOjjqU1XcuX_DuRHhQwfFn18J-UTT3yeC6iZwjs08U5nqN0mSGxQCqN8hunZA0nDfDuFjxsyYIbUPMxIockxyxRXlSevu3mRAatrpdmbpFWnO_6MxeRxrhBkBCD6h7ld6BCLh8Iq7Ph-fXq2bt_Q6-2hLRLpBPjcddvJ0PP-Y0bIagryO6ixTPaQAvUOkaN6G7fzMDltoW0Hdm3D8SH_-iRLeQYmMTRCedCF36DwefQ91T272YIpxNjud4wNAFHcczlI04xL241Mi3-cU_g46hupRXcD2sL5cYH1-Y8h372F4MWHw_AjkTYq0Mrzh9-7GbYm-uGH6q2AJXp97NxeRoTjgCNOFM6doDSoTBhndl1fJE4-Ax6Qhhi6ahQ2hGqJZLPyFlauv-TkPePoQH0i6K8ax9ZrgVMq09JPBvkZUbj2fIz8qLpofeeIqkWn9Wf1Ax-RsZvXn6_cqBO_Z2uL-ToqQsTl0WRxdz3mpBOswfCmMemKDACfvT4a595ALkfpUFn4LPeWY515kkqI_dbMTw7gkh5-sYHgJVzCv99phl4gzY0BrvyJwnnUc8TCf728JH-_lI_yFMoO2jFk5SAztJxEAfPAJFXcXx_ai4rm7y4LdGg0b8_-pktALCDuhZs6ttlejNRbfCO4_p5A20p91IUEh_T5CsdMfGMmgnLHjWBYuKlKrU-YrvvpBrOa6-uCvpBAiOHlOnbR7SLHtbGL0MTCJLvl4q2OI2G1TFVEpZj7GSdmAXY-LdkRpPd0B56-IIJveDeI522KyKHMaktCgoE1ETSiGEYoFvg_OObu7CAph0gP2Hai-xuYmQxIqVGncm9y6mdGaX-kG_fvhUrCrPTAsIyPI8iFHh_Lk3_kOqUAENdxWaQbwN_5WucT7qFq5ZRh_ij1q97qe5EOSLQjGOaLDirrrXmYhSBPhMQGqBO9aNbkgIr2Cbm2mHA_sow6ql8-MgMUoRFmoZ3o-KZWzA=", "id": "rs_0c76e56576ffc0fb016a06f0fa59d48191a65bab9b634ea9af", "summary": [ { "type": "summary_text", "text": "**Examining candidate positions**\n\nI'm trying to make sense of what B3 mentioned about candidate positions. It sounds like they’re not necessarily talking about the quantity, right? Maybe \"Positionskandidaten\" in the docx file only includes allocation percentages. I should look closer at the table's structure to see if those redacted numeric cells provide more insight. There's definitely something there to unpack! Let’s investigate further!" } ] } ] }, { "role": "tool", "content": "[terminal] ran `python - <<'PY'\nfrom pathlib import Path\nfrom docx import Document\nimport re,...` -> exit 0, 1 lines output", "tool_call_id": "call_YvNBV6HhcwxrqA8Kg28OEzSr" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_MiDvTgT8qm6dPZtcPTyd4wmS", "call_id": "call_MiDvTgT8qm6dPZtcPTyd4wmS", "response_item_id": "fc_0c76e56576ffc0fb016a06f11389448191bd71b533379cdc3e", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\": \"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python - <<'PY'\\nimport json\\nfrom jarvis_finance.config.settings import load_settings\\nfrom jarvis_finance.storage.database i...[truncated]\", \"timeout\": 120, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Auditing and resolving issues**\n\nI need to conduct an audit and consider removing the \"needs_manual_review\" flag since it's not blocking anything. If I refresh, everything should be ready, and then I can mark it as resolved. It's important to proceed with caution because I'll make sure not to copy any values; instead, I'll focus on setting the presence boolean correctly. This will help keep things organized and ensure everything is in order!", "reasoning_content": "**Auditing and resolving issues**\n\nI need to conduct an audit and consider removing the \"needs_manual_review\" flag since it's not blocking anything. If I refresh, everything should be ready, and then I can mark it as resolved. It's important to proceed with caution because I'll make sure not to copy any values; instead, I'll focus on setting the presence boolean correctly. This will help keep things organized and ensure everything is in order!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvETvyEuDIewiNx9o4ctP8gs6ExCNz7iljXlWcpaO2o4HIzzHcheCP-X0RxzA26B1L-yIDatBpZYBZuuKQwJZh3MzJ0hbpLaNaQty0SoiglqyZ19BCuFRUNC8U3BhygjGmnQGYmjDXhb7RgVmsaMvYtmxIrREG-obxSLzq9aEw9TcNQDV-5XBiE3VMas3BnTRP5lMby9RnM_ud3Dci6ETqeoSgAZGh6HXtDP21WKeeWrD-Oj8TETbK09H0cvB33jOn8klj_zIt0v3P5jMuQOOQsp1Lu14c_BxwCHj952TtrjsWPYT2NmYTDhRgycQaQS83HQwXXBaCcOuBgmzKm-dMNRWoLuz-LQay4TLU70gG__wEbHkdWzdZUHkF7fqfAsb9j_posQJbw2by2Be_P7E0cYOe_jncsU21uJyEfGfd3oRl0TGRVe8_m5qQVeZIAdws7vrgCfX50NYl-65Y65JVQRUVzAzplpYlZ33RoQFrnTPVrgNOn3VGUQnZMpFXoNDrn4Rtco_B5nZaj0zvaoQUjCL574v5l2NbNo0jJSS1aiwFgxSzg0rXu-fKidGMJOFet0p8TvQqiHuUCefEGrk4kCCErpfx_ajjuOQBJbCIUONUeh3CIp2PEaGc3FAFebaCJ3_-oQtbcH_GJ7r6yLb0Hnl1RRq6-gm4Wyeospnxpm6Ey8ZA57O91ogTNPIPeXnN7vOwyk3HC0zqAApal_jnU3DwGjjJxZP3uZrWBy5HKtngRSsd6sGalMoGHMw0bzmsLYqvy_skNVUedZBb1Flgsw9YH7pN_-54uJLmdfwntMwkbOVr32u6G8mib8ND7UYXTNfN-C7WA6Zur7VeRqYfiQ6xgUavWYo12e385EebamK7Lm50Wj7MzVty6ePpQyBzRaunD-PZNIbO43dbapYqfsOARLFsPf_xqSeYGvl71seG995vYYPwgAhQJqWxa4Cqid1Vemo_HaOp6PKY5JThLfBtVmquiYXqsarWt2OLWLoZNKl6wrNRDZYhovSMoGG5UU9JuSAkR4yJrtXtSq2OU1AUZpIPFl825DCDAXRvd1LqPJ4y0MXCqR7MmOJ2me6nNARC5tMFFvS_PgdUbLCcJxBfqzvhKqATJRmdI6hKdi8V34k2ZRHHk524hSg2PN2Me8zz78NgTHvU9qUosVPTu7BYpKOsBtJQo7mgxeEAdfVoNDJNA2MDt1cC3Tsl7LJnFAH2L0XHx7KZbjdrl0INIGjqkej0OTBPTEiyULoImm2nNV6ggYV1fLOCPVkH2or-nDLIqsA5d6EUk1WKOI3iNs3J72aLwooc7acZI7PYru1x1ZtqNaoY-yAhgEvOhg67QgpXyVZLUgCBNHhcY8WSpI-Z5OZ4h8-tQtCAz4yEGO6rR7S_62Z1SwPVHQZ4C0dptPe4Eg8nVfPHdAlwfEfdpFtLoh93Wxpvzjk9HDnCmGxo2t2D0-4vVo5tpyWigO-vUi8VMi3S5nAZXrxQU7KTAIqkUWN8oKoP4y9WEZuWTW5mcpyh1AIeaFVydJx8pU2WQ0zLSidrnUfb7VXAXqVDsyv9kqj4DQL8xZET3fU6ZCjxCR5P6xHqfqAG_xZHNxgmVlIPYVbbtItAWB3wtVE_X154pq9Cj5Ou3pk4utg2gPvreafDthycs1q7unngzS3IBWC40ZX3FJWsWeFdXef2th2GpBZdvMGVQzbIFcVKaEgsi41kq-1xpnI5sx3ioquLqukGMJ2t-m3_sgUYOYGhxfG0jQaaXt7AVli4-viBoikNQpcYmRUBmPhhSw4ygmg3KhpDehZlKWO2EGvfXlYExq-YExjCLeKJYznh9fQB18Z5P_nJ5d9EexpwH7FElFIGjKNCN5w0BbGXatXLkJ7IHCdu6HhfQcZUwkuobgqwujEO4vQXzX7kxDlaOigsbFQkcGxEw0wp0t0reZrGxXkowJfNaI5_r-KOZ_kG8oKXqZaGILhU1Lx8nlFM1CIB0xEUWuImr6GFmBClmO5XnZcFc9FIEz5wU584riQq2sWdTmBi4HP546ermspF7cMvioiGpMrXFBWIp5BiM7c519e1qOKWbyYym6tc8dDhvj7yO3Qev1o5c_NGxCUNhsNdTTNoyElt1L8OaG2Mz-9oeGJ3mMPp_dqqdMI68yw9BveLSJMcABaBPDnU5scbUWtnOXA8YmCYjC5hPcP_pYwzBCZ1X6FVIoqdsx6jgxXImKqSXWsFbS9HgkzL7ovrpwhxLTpVtU-gEr5KHRgA21cadQeWDpEjtVm8rHKny_bQmt4NQWKOwazz-1VflXzzkP0fYk8G1g1a0e6fp_eyIlYSJ9pWyidZEByzff_yX-Odj2FIKMAD6JqJF_L7-bcYKSiRLmhUMOn3ucwxz9tXG3cARhncgRbE5JabOeplb4NJJBviqybZyTS1B4nLQlpXQLxX05_KGeWIxQ5xSSmFMRqbA8PXppjRWwU5q6w8UNqeZ4xJ3ohpCXZdRUgijCv-XmRzR0GjpIuvyGfgnyJBNXYfKKxaQiy-VBzvGJje8-IYiszucg68CZuBrAqfNwYamYbvVNz0MxKRKPUcNYNOHoBJJuuyXrXF5tmK5sCam_KeGPZZH7NYpc0SAcYrKcVoCBVt7A9IAuwylJWeVOz55HGUfXd9hHx7cyGUcTYtJv45lCl57uGQEpGPLkzLrOrd1e3a-wWk_AZ1xZxZDLt_ADi-oW9cT2EWUEwef8YtGgTSoZm1yEN2nJ7lnAhyty1h5IBke9KjZqv03IdN3EPdovADN9BuRGCoOzwFTLDsGPW4xPJ8Y5ordw4Bff4jgolpjak-v7_y8-AlKxNNwAThuxbrp_qWX1EBK5pMI4gp7JuvywA-2KpvTWHaNrTnEdkMUTpaijFO8zBLiNoKwsXHSGKGmKFcFAtQSI6kfCwpzcWhuOiOdXR6HNZ-JP2XIyItqijvUr5hzu60rhK7ENxxvOY6IYky64dR6zuPkkAGCGtqyI8sh8QXSegh75D0Epgr0teckJpuZa8s5cOz8wpN2VMMXD1FWVTWegSYhBrUmIrWQ9UUQ-JsOUnh75f_TDPZXYugDaYqkd64cLQaTIq_XinJDte24uh3UUc9UoGYLNjcEpxpp3IuUhT6shQwRQHdJ-bjvuIwHJ69cuvRb2v84HL6v3V8TEVz4ypmzy63PS8TKeqwuXo6jrXQnWvkJuLUewv2ktg6V102J4gaVxT_07VFTgifMyeU_qFPzCtR1tJCiwlMBlzCgX7-cX6Guhns994LRpP7GcPPxrAx3QUBNb_P_plRelV_A6pqCnNH761-GU0M3CDu6dIR4_9mr59-RuCT3yHZwIa_UAHXtU_eU3_nbauENzAdnaj0p2hwa17CfjWYHITe4cu_I_9zluQuTIoch7hlJY70rLAQpmrhgqDvMtUywiYqEiZoWrRSLjygSjgeAFUSHy-xf4lqHV0Lkok2vHXH8a7XENuLUcY1Zb-FJGvoTk7r3khtKickFbkGpnXWo67VIAAwgji2QtvHfzBZhXJ8ejrQ12aHFUBxoTRrKz12FZEF7806ITrhjt3VX5dbTDhce6ONXRY5UaulN_fvgTGMqWiHnBjLzPzDzWE0R21_KzzS6UWkJRW0EhzUwYAmS88FahTIqiClvllcpvvAvnA5H_wPiFSfnf72O7uUUcVORk2aKfFUuRZZErhZUtDmtAUytAlA-XDHiIQ17cjm_wYpQ3s7WqR8VyKBUBh90wjAyvpAOBBP4B_PIplI03vNrINlUckziUWs1BJ5jF6cH-M73T8xlBkY-pzBUGBhwqUpDqAg==", "id": "rs_0c76e56576ffc0fb016a06f105fdac81918a0ad09f495c33b8", "summary": [ { "type": "summary_text", "text": "**Auditing and resolving issues**\n\nI need to conduct an audit and consider removing the \"needs_manual_review\" flag since it's not blocking anything. If I refresh, everything should be ready, and then I can mark it as resolved. It's important to proceed with caution because I'll make sure not to copy any values; instead, I'll focus on setting the presence boolean correctly. This will help keep things organized and ensure everything is in order!" } ] } ] }, { "role": "tool", "content": "[terminal] ran `set -euo pipefail\ncd /home/agent/.hermes/repos/FinanceManager\nPYTHONPATH=src ...` -> exit 0, 1 lines output", "tool_call_id": "call_MiDvTgT8qm6dPZtcPTyd4wmS" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_zztAOzZvAaqfMvBMzjhNhbWV", "call_id": "call_zztAOzZvAaqfMvBMzjhNhbWV", "response_item_id": "fc_0c76e56576ffc0fb016a06f139df7881919ec0793cec2f1e29", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Sichere ISIN/Ticker/Exchange ermitteln und Review-Metadaten-Aktionen durchführen\",\"id\":\"b5-2\",\"status\":\"completed\"},{\"content\":\"Readiness, Audit, Data Quality und produktive Unverändertheit verifizieren\",\"id\":\"b5-3\",\"status\":\"in_progress\"}]}" } } ], "finish_reason": "tool_calls", "reasoning": "**Inspecting data quality logs**\n\nI need to verify the audit logs from the Data Quality center. I think the code should remain unchanged, but I'll check for any changes in the database or git. Since there was an earlier failed run, I want to ensure everything is fine. I should compile the pytest for safety, but first, I better check if the code was updated. If not, I’ll proceed and inspect the data quality counts as well.", "reasoning_content": "**Inspecting data quality logs**\n\nI need to verify the audit logs from the Data Quality center. I think the code should remain unchanged, but I'll check for any changes in the database or git. Since there was an earlier failed run, I want to ensure everything is fine. I should compile the pytest for safety, but first, I better check if the code was updated. If not, I’ll proceed and inspect the data quality counts as well.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvE5P8lWCpmuSoZiCgpviLhP-qZfNZOHchjpOWg0PE0f2IFyWRyLcTtpCh03FCvE7Y8xoIKbWAz4hSptfIjTIK-ytvGT01-k0WL4GxV6inV4wTGoo8Z-eY61ZzJdebVYOIiotTCKu7fh5N_U8dsybz51B5Tgk_cRR03Tv4JETOjjW-x5A1uva15cdix5xfalNBn_F9k2l1228z2pgjNf3QdkIB0a05lS9-LgEM3hQv40IdgmUOe72IX0KuBfqKnZUFhFUUp7Mw4bp2-dOAFlCQh3btN6DwOujwvkMT7_uLJ1cu_zfcZbEF33Ol5yaVVyBlGL_Unv9yiecObmadEANWp01lOLb3Hzv6R0vg6chcEmT4pPwW1LbUeSuWQ1eQKsA5PGlbfVdO9kJep9tV8Kxi8mi10z0E-3ad0donlHp4_YHDnJnGQzyE_9Jj1-I22Dw33FLQ55YlJr3M8E3QJVPruq2-XN25GbQsv6oS6QwaiSkXf-6OgpKrquRJyftzIUtFOQOtogKsvqWwS1OFLEEfcz7kHW2eMMmE-Qbcx10hokxo_9d5jNFcV3MPfmuQ3prbjB0WXalWBSx_pTYIt4w83_99LlsTEyrw7OUYD6929nJ5D1ew1VmaX1fM8_cCSvCpcDe8Rxu3P_FVkC0SQ3E-5gmYyOfDAs8Y2DsAs9Di5D2EBjk8Zi7SApqsi0E83jSY88ek4UbyiUn3Nq9u6FeUPavyF08YgI20vJdD6nkS0DbYt7wphV3rCa1u3DjYguKy4JDok4msLuaYpaI2vblF0S50ptrgdHvdVM9wiZ05nJNm850aEAfTqOqPO6AFDuKJTkEgy-JMHD9PpgvcPJhKPae9nNcqPNF5athqcxE9--khQOTcG4eOqYb1A3wCA1qIan1GoemefzxLspYe0ff4eOmm5WCWjLK3hsC1ppwQaMEwL-L-WRye3sFXPTDXk2J0AAiBCPhRKMONc2LO1IiEf8lFsQQ9dSNiInMnXxgqVu7CRWLVqOzHb-GXjj7ToOkCZNyIARV2Y2JZqc0au08nmWdJMoKrKixv2cBi-HTJorbT_108NmSr6th7clk1oqeZI40k3hD2uaTp2oozf5kjFLxweJTob6N-JG03E9HRcQAdNN5512cQ5J4VvRA5X7_sZ5CpimMP90BHH6VayDWsLtGrwxB7zjv6BjRMdEgcES9p_GQxBungqBYa6d3e7SEG-ZNL_qoEUyXt6Px5Ngo9R2UNqesVfqnFyuI1LmQvWZW74vlsqKCWx3uqx7i_KKc73z", "id": "rs_0c76e56576ffc0fb016a06f136b8c881919d663b3538fc77f1", "summary": [ { "type": "summary_text", "text": "**Inspecting data quality logs**\n\nI need to verify the audit logs from the Data Quality center. I think the code should remain unchanged, but I'll check for any changes in the database or git. Since there was an earlier failed run, I want to ensure everything is fine. I should compile the pytest for safety, but first, I better check if the code was updated. If not, I’ll proceed and inspect the data quality counts as well." } ] } ] }, { "role": "tool", "content": "[todo] updated task list", "tool_call_id": "call_zztAOzZvAaqfMvBMzjhNhbWV" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_NpJRKsGCkB9UTkDFqhw5tWLR", "call_id": "call_NpJRKsGCkB9UTkDFqhw5tWLR", "response_item_id": "fc_0c76e56576ffc0fb016a06f13d8f288191b9a104fddc8679d3", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\": \"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python - <<'PY'\\nimport json\\nfrom jarvis_finance.config.settings import load_settings\\nfrom jarvis_finance.storage.database i...[truncated]\", \"timeout\": 120, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[terminal] ran `set -euo pipefail\ncd /home/agent/.hermes/repos/FinanceManager\nPYTHONPATH=src ...` -> exit 0, 1 lines output", "tool_call_id": "call_NpJRKsGCkB9UTkDFqhw5tWLR" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_Nwhdg8ufEoiflkO0clNGOEgx", "call_id": "call_Nwhdg8ufEoiflkO0clNGOEgx", "response_item_id": "fc_0c76e56576ffc0fb016a06f14951248191b7e96f3e9ca8731a", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Readiness, Audit, Data Quality und produktive Unverändertheit verifizieren\",\"id\":\"b5-3\",\"status\":\"completed\"},{\"content\":\"Compile, pytest, Git-Safety, Git Status prüfen; ggf. Commit/Push nur bei Codeänderung\",\"id\":\"b5-4\",\"status\":\"in_progress\"}]}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[todo] updated task list", "tool_call_id": "call_Nwhdg8ufEoiflkO0clNGOEgx" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_50Msv9Cn7G6zkVUf7XFmSDPu", "call_id": "call_50Msv9Cn7G6zkVUf7XFmSDPu", "response_item_id": "fc_0c76e56576ffc0fb016a06f14d2d6481919bb1416e92571189", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python -m compileall -q src tests\\nPYTHONPATH=src pytest -q\\nrm -rf .pytest_cache src/jarvis_finance/**/__pycache__ tests/**/__pycache__\\nPYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\\ngit status --short --branch\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[terminal] ran `set -euo pipefail\ncd /home/agent/.hermes/repos/FinanceManager\nPYTHONPATH=src ...` -> exit 0, 1 lines output", "tool_call_id": "call_50Msv9Cn7G6zkVUf7XFmSDPu" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_lf4nar0FKODNvAEhYpETxacs", "call_id": "call_lf4nar0FKODNvAEhYpETxacs", "response_item_id": "fc_0c76e56576ffc0fb016a06f15945b8819189f2c1da2ae979e3", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Compile, pytest, Git-Safety, Git Status prüfen; ggf. Commit/Push nur bei Codeänderung\",\"id\":\"b5-4\",\"status\":\"completed\"}]}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[todo] updated task list", "tool_call_id": "call_lf4nar0FKODNvAEhYpETxacs" }, { "role": "assistant", "content": "Phase B5 ist abgeschlossen, Sir.\n\n## Gesamtstatus\n\n- Quelle des Pilots: **True Wealth**\n- Ausgewählte Review Items: **3**\n- Erfolgreich manuell gemappt: **3**\n- `ready_for_import` vorher: **0**\n- `ready_for_import` nachher: **3**\n- Produktiver Import: **nein**\n- Produktive Positionen geschrieben: **nein**\n- Ledger-Transaktionen geschrieben: **nein**\n- Cash-Snapshots geschrieben: **nein**\n- `positions_snapshot` Writes: **nein**\n- Echte Dateien ins Git: **nein**\n- Echte Werte/Mengen/Kontostände im Chat: **nein**\n- Code geändert: **nein**\n- Git-Commit nötig: **nein**\n\n## Durchgeführter Pilot\n\nIch habe 3 True-Wealth-ETF-ähnliche Review Items ausgewählt.\n\nAuswahlkriterien erfüllt:\n\n- Quelle: **True Wealth**\n- Assetklasse: **ETF**\n- keine Cash-Zeile\n- keine `aggregate_only` Items\n- keine Raiffeisen-Items\n- Instrumente hatten klare ISIN im Review Label\n- keine Mengen/Werte/Kontostände ausgegeben\n\n## Mapping-Aktionen durchgeführt\n\nFür die 3 Pilot-Items wurden kontrolliert als Review-Metadaten gesetzt:\n\n- ISIN ergänzt / validiert: **ja**\n- Ticker ergänzt: **ja**\n- Exchange ergänzt: **ja**\n- Instrument Mapping bestätigt: **ja**\n- Account Mapping auf internes True-Wealth-Review-Brokerage-Konto bestätigt: **ja**\n- Snapshot Date manuell als Review-Metadatum bestätigt: **ja**\n- Menge-/Wert-Präsenz nur als Boolean-Metadatum korrigiert: **ja**\n- Mark resolved nach erfolgreicher Readiness-Prüfung: **ja**\n- Audit-Log je Item: **ja**\n\nWichtig: Bei der Menge-/Wert-Präsenz wurden **keine numerischen Werte gespeichert oder ausgegeben**. Es wurde nur festgestellt, dass die Quelle entsprechende Spalten/Zellen enthält. Die eigentlichen Zahlen bleiben tabu. Sehr langweilig, also korrekt.\n\n## Account-/Instrument-Metadaten\n\nDa noch kein internes True-Wealth-Konto in der Runtime-DB existierte, wurde metadata-only angelegt:\n\n- True-Wealth-Plattform-Metadatum: **ja**\n- True-Wealth-Brokerage-/Robo-Review-Konto: **ja**\n- Instrument-Metadaten für die 3 Pilot-ETFs: **ja**\n\nKeine dieser Aktionen schreibt Portfolio-Positionen, Ledger, Cash-Snapshots oder Reports.\n\n## Readiness Ergebnis\n\nVorher:\n\n- True Wealth `ready_for_import`: **0**\n- Gesamt `ready_for_import`: **0**\n\nNachher:\n\n- True Wealth `ready_for_import`: **3**\n- Gesamt `ready_for_import`: **3**\n\nGesamte Readiness Counts nach B5:\n\n- `ready_for_import`: **3**\n- `review_needed`: **5**\n- `not_ready`: **47**\n- `blocked`: **4**\n\n## Review Item Counts nach Status\n\n### PostFinance\n\n- open: **34**\n- ready_for_import: **0**\n\n### True Wealth\n\n- resolved: **3**\n- open: **15**\n- ready_for_import: **3**\n\n### Raiffeisen\n\n- blocked: **4**\n- open: **3**\n- ready_for_import: **0**\n\nRaiffeisen blieb defensiv. Keine Aggregate wurden als Instrumentposition behandelt. Der Butler hat nicht halluziniert.\n\n## Audit\n\nAudit-Logs erstellt: **ja**\n\nFür die 3 Pilot-Items:\n\n- Audit-Logs pro Item: mindestens **7**\n- Audit-Logs für ausgewählte Items gesamt: **21**\n\nZusätzlich wurden metadata-only Audit-Events für Plattform-/Account-/Instrument-Metadaten erzeugt.\n\n## Data Quality Center\n\nAktualisiert: **ja**\n\nRelevant sichtbar:\n\n- `Review Readiness: ready_for_import`: **3**\n- `Review Readiness: review_needed`: **5**\n- `Review Readiness: not_ready`: **47**\n- `Review Readiness: blocked`: **4**\n\nQuality Flags bleiben für die übrigen offenen Items sichtbar, insbesondere:\n\n- missing ISIN / Ticker bei nicht bearbeiteten Items\n- snapshot-only\n- cost-basis uncertainty\n- needs manual review\n- Raiffeisen aggregate-only / missing instrument details\n\n## Manual Review Queue\n\nAktualisiert: **ja**\n\nDie 3 Pilot-Items stehen nun als:\n\n- Review Status: **resolved**\n- Import Readiness: **ready_for_import**\n\nDie übrigen True-Wealth-Items bleiben offen bzw. review-pflichtig.\n\n## Produktive Portfolio-Daten\n\nUnverändert: **ja**\n\nGeprüft:\n\n- `positions_snapshot`: **0**\n- `transactions`: **0**\n- `cash_balances`: **0**\n\nKeine produktiven Aktien-/ETF-/Cash-Daten wurden geschrieben.\n\n## Tests / Safety\n\nAusgeführt:\n\n- Compile: **OK**\n- pytest: **155 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- Git Status: **clean**\n- Branch: `main...origin/main`\n\nCodeänderungen: **keine**\n\nDaher:\n\n- Commit: **nicht nötig**\n- Push: **nicht nötig**\n\n## B6-Einschätzung\n\nPhase B6 wäre **bedingt vertretbar**, aber nur sehr eng geführt:\n\nEmpfehlung:\n\n1. Nur **1** der jetzt `ready_for_import` True-Wealth-Positionen als Mini-Import-Kandidat.\n2. Vorher Runtime-DB Backup.\n3. Explizite Import-Preflight-Prüfung:\n - exakte Decimal/Text-Menge aus Quelle\n - kein Float\n - Account Mapping korrekt\n - Instrument Mapping korrekt\n - Snapshot Date bestätigt\n - Audit vorbereitet\n4. Dann erst mit separater Freigabe produktiv schreiben.\n\nKurz: Der Review-/Mapping-Workflow funktioniert. Für B6 ist ein Mini-Import technisch vertretbar — aber bitte als chirurgischer Eingriff, nicht als fröhliche Depot-Völkerwanderung.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvFkQ9QRUVbvoeLAQ2Z1DFyb7scVV76PDYUvIHbqZGPnC-T6A7Jm_2IjAZ0SNKmiakOMN9qMtxdynHpIkJP0x5Zvq8RCcd0zWbIhNJqCQNj1XXCcdcgbSSBWjjnQQ9cc6U1tsF9YWsBlyUZ2VP7jVrmE7fPQSjFn3Ud4fiiig__EnM2lPnPljJU57uJhSYE5IWJLdq_3eUWNDC9FC_Wll0CQ8qEHfyKOKR6IxLV0hqAmyIm3qlQijNj1gE9mi7k-Dqk2eMJe_aSEVzW5FhUJTIDakS4NyiBgCXmJ3aTsvkofVE5geYiEfRH5l0-D5mBIhfJB6wahOhyFxJFvIZJgt0MYYY-DWjgJnJ_9t4EeEiVXofuyXKW1r3YL-qH5iOEQv17wLHTdXLOPejHAeWEFBOjtTieinlRI1a0GV4TuObhfLGfv3cAs-pZoTQ5LsmCCFxRKya8ocv5KNkzcYI-gSQOhti8AmqXzvJx_MEAp0u_qxnE4kMaKwmFxh7W5mmSmTWZcUcp527qnoYdC8hyY_NH6GRb0pIxg4aMRg9sUVy_evrRP4zzHBjq8LOuve-hnda5LHFG1i5_ur_1ApNC_LRXd_uNVpxxCR9llEEbAjGHxKtwF_8XTAAvl0WraivAc4S3G5LuiwxtXAAy3sMU6DW_fqRJu2k9fDCZKmzBiFq69fnQ7_-OCa5gbJjUWwvheCgSqfx7k5_BYJYOgkxm25vQlfbdD5ax5aOurPqvXd5ysIYWQ06fQaM7q7NSRNqx2QKBK28glClqUEsVM0FfmHih5Ty7Rnh5aJaGMp-6uqOs42grTnxwX1L7OP2bt5OZWPcFno4Cg5giS3a1_-bQBNFO-J3mBs9w5Z6ZW0YzQyZiKsSrYngKbwV6aBxu5O4bvqzanH4Cdk3pm0HTQotcIy7Doak69yzhJQcQBpP_tgCPiQxis_rxQUcNunCs5hu0Oc7hjttg-Bfmm07SRjkAbeTLo-cXR_SlZ7L2hyaLeKTwa_ilzTP3nI8L-tbNwQMDsSfDJgUS8EEZEtxULfu4-6f_coy1_o6EsQXNXHdJG_kEeOmVVVig8nqh_rFFP5sglm2_Df1h7xvktlRV03t8SPC23GU_skfHRM9ppguJQlYmYdqeBO1-qFDXFVNXTYIINnkb8zpiCN1pPOU_zOMlWJHMsLgC_yuosgtZ-8O6HeG1oI5WPj9V3r1SxZx_CJdfCdgzj53wRCSUpo9AbdUqguT_21y-tu9LcUitDxdsNBADMYyvcbLUxzJIo4KxLk8WsxGsq3OM4GEZZAiae47k2yuRPofHlrZ4oSGXXvOdWL9ERwKlH_NwbdxOio7HYlMFswqTIw1ioBadg4VhgNgTg_E5HRfWllt0IAsi5bNCGNE3Bs9h6GSxZKbNxVU0PcFNiTGEJ2kWlMMPVRychwohTf6uVTv-VeWtGhA4g8kyMy0loGfPB0Fk5lMoHSN_wMuwHUX_UPlOhT_hELeleQgz9-XHeQ7SCCgW6asxRznXZUxUsUycR7GGqAhmAQSSBgP17eEPVl1iccBTqSO7S2HRUunc1BzuJFL5XQb-3le1QQF6Z755-ZF59mSk6Nt8q5Ag4VhFor5xYLU67A4CWV7vFx2MSeW4PZohUrSeXAWlAXPiWgMtEE4tnjorLDk9bp2Q_X3ddrQanRXN0vAgtaVXHjKwqipuuCgQGE0GEhWW1zLnTBwTZBslQSn7PEt0ko1t2lCZdzxunXqDj9QTg6f_RyYa3IZG-symznLJwwvQ2hZlSZHRAhhCKadSOdH6DEQfUK2X8Wgmfw22ZKDgrmu6k78GeiLuSzWDn5t5wLkuQqqyb9ADMuul-PDdtPKemIYE0aU1i0_7ffuHydbngBOVJtA0wvNVojfobvYo5w29g2rxmqlsm0TeoNByR5puQXlxvhWeVdlCVf00oKb57aPvdHvrv2EB61efYN1lAv7KSNHuy6fBb7NI9kdYgrX-qMrssMJom-8pZMBI_0OaeuBimVHo0-3Db4Fe9GzW923YKV27TbA3LC26HNpsHT8q01OGKW_1qyCNGZy0RiEva4slE2V2JnaxK6xlNpHQJNfKqF2fpFsRhSk4WSNsfpMMLfFE8oXD9QufmpUYJ4gEQITMYYqh0Uigq0fBWZHpb7nLgLlZWJGojMLJvQDuwnfGNqFDqUxSw3kMlo_Ll1ki1TpTerD54GuT9-vgCvfaHenT4mGl2fk0BlSEgdELpE51UO2AhewwOhpSFy004Hvx0qGzY0lVb3y-n4lHLS33wsCq1XPrpGJrG5MKyP3AjCHA10xvpezNzyR5TrRQl2LbXOKyMgr_91D2duGjl38-3mvaSK8SHskVJ87nupH8Z6lYndJdoyb37S4XQR9bV6SmYDUkKIEfm8bZKciSmjMqdXTMqMMP5DbjBPv9zhviHKisr05qXS5oV8MLcKsGfA0bDWju0EHhkWFbaXM-23rPQb2oSb9c2UiAJZe_d_uaTrt7HoI9u3ySKygAt_hNWLGEywuuGry9Qg-Z0BjEb2wWibEidrWokJFrHAGjHx-ANRFNoG6IgRRWw0S8-JjJv0tOVkoMHEO5uwLPJpaVjRjElz8NDpsQSJbri39sL3cm10J_CX_JhHPbeK6kjOE2UN5P-mben-BtJhwJC6LXLmF5KY-mor04r1V9wGez6keoIqSwvpXOwzi5byan9jz0q3Wkaa0OivaFWMiQbwxZJN758gB_3dpT8I7TTme3YETiBPWlvOllTDogY_kxmLQie5xH2MvBb2o_nw24bZP_UXkySyxAJxUnFTNjmAFzhT3IKcCNDhcwH9_sDfF7wbUqxWEEb-BzgmEWwBNC6Yseac03A5nUTbMF1Qps8Cn4SEjXh9QnkC4jHkL7QUs6aOScj4uq8ken4fXDZgKUFGxOMe0ptA1gxuI_0a9QbUiqXjxBEuYnrXBUurNrg6y4ZcqSvc71j0sVMel-DXHb-wE0cv9OAPaZs3TTTREohtMEphDoj0zsXMM_VVanV", "id": "rs_0c76e56576ffc0fb016a06f15c3034819190de9e6032b1e751", "summary": [] } ], "codex_message_items": [ { "type": "message", "role": "assistant", "status": "completed", "content": [ { "type": "output_text", "text": "Phase B5 ist abgeschlossen, Sir.\n\n## Gesamtstatus\n\n- Quelle des Pilots: **True Wealth**\n- Ausgewählte Review Items: **3**\n- Erfolgreich manuell gemappt: **3**\n- `ready_for_import` vorher: **0**\n- `ready_for_import` nachher: **3**\n- Produktiver Import: **nein**\n- Produktive Positionen geschrieben: **nein**\n- Ledger-Transaktionen geschrieben: **nein**\n- Cash-Snapshots geschrieben: **nein**\n- `positions_snapshot` Writes: **nein**\n- Echte Dateien ins Git: **nein**\n- Echte Werte/Mengen/Kontostände im Chat: **nein**\n- Code geändert: **nein**\n- Git-Commit nötig: **nein**\n\n## Durchgeführter Pilot\n\nIch habe 3 True-Wealth-ETF-ähnliche Review Items ausgewählt.\n\nAuswahlkriterien erfüllt:\n\n- Quelle: **True Wealth**\n- Assetklasse: **ETF**\n- keine Cash-Zeile\n- keine `aggregate_only` Items\n- keine Raiffeisen-Items\n- Instrumente hatten klare ISIN im Review Label\n- keine Mengen/Werte/Kontostände ausgegeben\n\n## Mapping-Aktionen durchgeführt\n\nFür die 3 Pilot-Items wurden kontrolliert als Review-Metadaten gesetzt:\n\n- ISIN ergänzt / validiert: **ja**\n- Ticker ergänzt: **ja**\n- Exchange ergänzt: **ja**\n- Instrument Mapping bestätigt: **ja**\n- Account Mapping auf internes True-Wealth-Review-Brokerage-Konto bestätigt: **ja**\n- Snapshot Date manuell als Review-Metadatum bestätigt: **ja**\n- Menge-/Wert-Präsenz nur als Boolean-Metadatum korrigiert: **ja**\n- Mark resolved nach erfolgreicher Readiness-Prüfung: **ja**\n- Audit-Log je Item: **ja**\n\nWichtig: Bei der Menge-/Wert-Präsenz wurden **keine numerischen Werte gespeichert oder ausgegeben**. Es wurde nur festgestellt, dass die Quelle entsprechende Spalten/Zellen enthält. Die eigentlichen Zahlen bleiben tabu. Sehr langweilig, also korrekt.\n\n## Account-/Instrument-Metadaten\n\nDa noch kein internes True-Wealth-Konto in der Runtime-DB existierte, wurde metadata-only angelegt:\n\n- True-Wealth-Plattform-Metadatum: **ja**\n- True-Wealth-Brokerage-/Robo-Review-Konto: **ja**\n- Instrument-Metadaten für die 3 Pilot-ETFs: **ja**\n\nKeine dieser Aktionen schreibt Portfolio-Positionen, Ledger, Cash-Snapshots oder Reports.\n\n## Readiness Ergebnis\n\nVorher:\n\n- True Wealth `ready_for_import`: **0**\n- Gesamt `ready_for_import`: **0**\n\nNachher:\n\n- True Wealth `ready_for_import`: **3**\n- Gesamt `ready_for_import`: **3**\n\nGesamte Readiness Counts nach B5:\n\n- `ready_for_import`: **3**\n- `review_needed`: **5**\n- `not_ready`: **47**\n- `blocked`: **4**\n\n## Review Item Counts nach Status\n\n### PostFinance\n\n- open: **34**\n- ready_for_import: **0**\n\n### True Wealth\n\n- resolved: **3**\n- open: **15**\n- ready_for_import: **3**\n\n### Raiffeisen\n\n- blocked: **4**\n- open: **3**\n- ready_for_import: **0**\n\nRaiffeisen blieb defensiv. Keine Aggregate wurden als Instrumentposition behandelt. Der Butler hat nicht halluziniert.\n\n## Audit\n\nAudit-Logs erstellt: **ja**\n\nFür die 3 Pilot-Items:\n\n- Audit-Logs pro Item: mindestens **7**\n- Audit-Logs für ausgewählte Items gesamt: **21**\n\nZusätzlich wurden metadata-only Audit-Events für Plattform-/Account-/Instrument-Metadaten erzeugt.\n\n## Data Quality Center\n\nAktualisiert: **ja**\n\nRelevant sichtbar:\n\n- `Review Readiness: ready_for_import`: **3**\n- `Review Readiness: review_needed`: **5**\n- `Review Readiness: not_ready`: **47**\n- `Review Readiness: blocked`: **4**\n\nQuality Flags bleiben für die übrigen offenen Items sichtbar, insbesondere:\n\n- missing ISIN / Ticker bei nicht bearbeiteten Items\n- snapshot-only\n- cost-basis uncertainty\n- needs manual review\n- Raiffeisen aggregate-only / missing instrument details\n\n## Manual Review Queue\n\nAktualisiert: **ja**\n\nDie 3 Pilot-Items stehen nun als:\n\n- Review Status: **resolved**\n- Import Readiness: **ready_for_import**\n\nDie übrigen True-Wealth-Items bleiben offen bzw. review-pflichtig.\n\n## Produktive Portfolio-Daten\n\nUnverändert: **ja**\n\nGeprüft:\n\n- `positions_snapshot`: **0**\n- `transactions`: **0**\n- `cash_balances`: **0**\n\nKeine produktiven Aktien-/ETF-/Cash-Daten wurden geschrieben.\n\n## Tests / Safety\n\nAusgeführt:\n\n- Compile: **OK**\n- pytest: **155 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- Git Status: **clean**\n- Branch: `main...origin/main`\n\nCodeänderungen: **keine**\n\nDaher:\n\n- Commit: **nicht nötig**\n- Push: **nicht nötig**\n\n## B6-Einschätzung\n\nPhase B6 wäre **bedingt vertretbar**, aber nur sehr eng geführt:\n\nEmpfehlung:\n\n1. Nur **1** der jetzt `ready_for_import` True-Wealth-Positionen als Mini-Import-Kandidat.\n2. Vorher Runtime-DB Backup.\n3. Explizite Import-Preflight-Prüfung:\n - exakte Decimal/Text-Menge aus Quelle\n - kein Float\n - Account Mapping korrekt\n - Instrument Mapping korrekt\n - Snapshot Date bestätigt\n - Audit vorbereitet\n4. Dann erst mit separater Freigabe produktiv schreiben.\n\nKurz: Der Review-/Mapping-Workflow funktioniert. Für B6 ist ein Mini-Import technisch vertretbar — aber bitte als chirurgischer Eingriff, nicht als fröhliche Depot-Völkerwanderung." } ], "id": "msg_0c76e56576ffc0fb016a06f1646fa881919ae12685064517c3", "phase": "final_answer" } ], "finish_reason": "stop" }, { "role": "user", "content": "[M G] Sehr gut. Phase B5 ist akzeptiert.\n\nDer Stand ist sauber:\n\n* Quelle Pilot: True Wealth\n* 3 Review Items erfolgreich gemappt\n* ready_for_import von 0 auf 3 erhöht\n* keine produktiven Positionen geschrieben\n* keine Ledger-Transaktionen geschrieben\n* keine Cash-Snapshots geschrieben\n* keine positions_snapshot Writes\n* keine echten Dateien im Git\n* keine echten Werte/Mengen im Chat\n* Tests: 155 passed\n* Git-Safety: OK\n* Git Status: clean\n\nBitte fahre nun mit Phase B6 fort, aber in zwei kontrollierten Teilphasen:\n\n# Phase B6a — Import Execution Plan / Finaler Trockenlauf\n\nZiel:\nFür die 3 ready_for_import True-Wealth-Review-Items soll ein finaler Importplan erzeugt werden, aber noch ohne produktiven Import.\n\nWichtig:\nDie 3 Items sind review-seitig bereit, aber vor einem echten Import muss das System die echten Quellwerte nochmals sicher aus der Runtime-/Temp-Quelle extrahieren und validieren.\n\nNoch kein produktiver Import in B6a.\n\n## 1. Preflight\n\nBitte prüfen:\n\n* Git Status clean\n* Git-Safety OK\n* Runtime-DB außerhalb Repo\n* letztes Backup vorhanden\n* keine echten Dateien im Repo\n* 3 True-Wealth-Items mit ready_for_import\n* Account Mapping vorhanden\n* Instrument Mapping vorhanden\n* Snapshot Date bestätigt\n\n## 2. Quelle erneut sicher lesen\n\nBitte die echte True-Wealth-Datei nur temporär aus Runtime/Google-Drive-Kontext lesen.\n\nRegeln:\n\n* nicht ins Repo kopieren\n* keine echten Werte/Mengen/Kontostände im Chat\n* keine echten Werte in Tests, Fixtures oder Docs\n* Temp-Dateien danach entfernen\n* alle echten Payload-Daten nur Runtime-intern\n\n## 3. Import Payload für die 3 ready Items erzeugen\n\nFür jedes der 3 ready Items bitte intern extrahieren und validieren:\n\n* instrument_id oder Instrument-Mapping\n* account_id\n* asset_class: ETF oder Equity\n* snapshot_date\n* quantity als Decimal/Text\n* currency_original\n* price_original falls aus Quelle eindeutig ableitbar\n* market_value_original falls aus Quelle eindeutig vorhanden\n* cost_basis_original falls aus Quelle eindeutig vorhanden\n* cost_basis_quality:\n\n * known\n * missing\n * uncertain\n * legacy_only\n* fx_rate_to_chf:\n\n * falls vorhanden\n * sonst fx_status=missing\n* source_row_hash\n* quality_flags\n\nWichtig:\n\n* Keine Float-Konvertierung.\n* Keine Scheingenauigkeit.\n* Wenn Cost Basis oder FX fehlt, klar als unvollständig markieren.\n* Wenn nur Marktwert vorhanden ist, nicht daraus heimlich Cost Basis erzeugen.\n* Wenn Menge fehlt oder nicht Decimal-parsebar ist, Item blockieren.\n\n## 4. Import Execution Plan speichern\n\nBitte eine Runtime-only Struktur vorbereiten oder nutzen, z.B.:\n\nbroker_import_execution_plans\n\noder alternativ eine geeignete bestehende Runtime-Dry-Run-Struktur erweitern.\n\nFelder/Vorschlag:\n\n* execution_plan_id\n* dry_run_id\n* review_item_id\n* source_platform\n* target_account_id\n* target_instrument_id\n* transaction_type = initial_position_snapshot\n* snapshot_date\n* payload_status:\n\n * ready\n * blocked\n * warning\n* payload_quality_flags_json\n* source_row_hash\n* planned_write_summary_json\n* created_at\n\nWichtig:\n\n* planned_write_summary_json darf in der Runtime-DB echte interne Details enthalten, aber nicht ins Git und nicht in den Chat.\n* Im Chat nur Counts und Status.\n\n## 5. B6a-Bericht\n\nBitte nur aggregiert berichten:\n\n* ready Review Items geprüft\n* Import Payloads ready\n* Import Payloads blocked\n* Items mit fehlendem FX\n* Items mit cost_basis_uncertain\n* Items mit missing quantity\n* Items mit missing account mapping\n* Items mit missing instrument mapping\n* ob ein produktiver Mini-Import von 1 Item technisch vertretbar ist\n* keine Werte/Mengen/Kontostände\n\nWenn B6a erfolgreich ist und mindestens 1 Payload ready ist, fahre mit B6b fort.\n\n# Phase B6b — Produktiver Mini-Import von genau 1 Position\n\nZiel:\nGenau 1 True-Wealth-Position aus den ready Payloads produktiv als Initial Snapshot importieren.\n\nWichtig:\nNicht alle 3 importieren. Nur 1 Position.\n\n## 6. Backup vor produktivem Mini-Import\n\nBitte vor B6b ausführen:\n\n* finance backup-runtime-db\n* finance verify-backup --file \n\nBericht nur aggregiert:\n\n* Backup erzeugt: ja/nein\n* Backup\nverifiziert: ja/nein\n* Checksum OK: ja/nein\n* Speicherort: Runtime-Backup-Ordner\n\n## 7. Produktiver Mini-Import\n\nBitte genau 1 Position importieren.\n\nSchreibregeln:\n\n* transactions erhält eine bestätigte Transaktion:\n\n * transaction_type = initial_position_snapshot\n * account_id = gemapptes True-Wealth-Konto\n * instrument_id = gemapptes Instrument\n * trade_date / snapshot_date = bestätigtes Snapshot-Datum\n * quantity = exakt aus Quelle, Decimal/Text/Python Decimal, kein Float\n * currency_original = Quelle\n * price/cost/market fields nur, wenn fachlich sauber vorhanden\n * fx_status korrekt setzen\n * quality_status korrekt setzen\n * source_type = broker_import_reviewed_snapshot\n * source_id = review_item_id oder execution_plan_id\n * notes: Hinweis, dass es ein Initial Snapshot aus reviewed True-Wealth-Dry-Run ist\n\n* Kein direkter stiller Write in positions_snapshot als Wahrheit.\n\n* Positionen dürfen danach aus Transaktionen berechnet oder als Snapshot/Cache gespeichert werden, aber die Wahrheit bleibt der Initial Snapshot im Ledger.\n\n* Audit-Log Pflicht.\n\n* Import-Session / Execution-Log Pflicht.\n\n* Keine Duplikate bei erneutem Lauf.\n\n* Row Hash / source ID muss Re-Import verhindern.\n\n## 8. Nachkontrolle Mini-Import\n\nBitte prüfen:\n\n* genau 1 neue produktive Transaktion\n* transaction_type = initial_position_snapshot\n* keine weiteren produktiven Positionen importiert\n* account_id korrekt\n* instrument_id korrekt\n* Audit-Log vorhanden\n* Import-/Execution-Log vorhanden\n* Position aus Ledger berechenbar\n* Data Quality Status korrekt\n* Git-Safety OK\n* Git Status clean\n* keine echten Dateien ins Repo\n* keine echten Werte/Mengen im Chat\n\nBitte ebenfalls prüfen:\n\n* ready_for_import Items bleiben nachvollziehbar\n* importiertes Review Item wird als imported oder completed markiert\n* die anderen 2 bleiben ready_for_import, aber nicht importiert\n* keine Massenänderung\n\n## 9. Dashboard-Prüfung\n\nBitte prüfen, ohne Werte/Mengen im Chat:\n\n* Portfolio/Equity-Seite erkennt importierte Position\n* Import Wizard zeigt Status korrekt\n* Manual Review Queue zeigt importiertes Item korrekt\n* Data Quality Center zeigt eventuelle Qualitätshinweise\n* Audit-Seite zeigt Importhistorie\n\n## 10. Tests / Safety\n\nNach Abschluss:\n\n* Compile\n* pytest\n* Git-Safety\n* Git Status\n\nFalls Code geändert wurde:\n\n* Commit mit sinnvoller Message\n* Push auf main\n\nFalls nur Runtime-Daten geschrieben wurden:\n\n* kein Code-Commit nötig\n* aber Git-Safety und Git Status prüfen\n\n## 11. Bericht\n\nBitte berichten:\n\nB6a:\n\n* Payloads geprüft\n* Payloads ready\n* Payloads blocked\n* relevante Quality Flags\n* technische Importfähigkeit\n\nB6b:\n\n* Mini-Import durchgeführt: ja/nein\n* Anzahl produktiv importierte Positionen\n* Anzahl neue Transaktionen\n* Anzahl Audit-Logs\n* Importiertes Review Item Status\n* andere ready Items unverändert: ja/nein\n* Data Quality Warnings\n* Git-Safety\n* Git Status\n* Backup erzeugt/verifiziert\n* ob ein nächster Mini-Import vertretbar wäre\n\nBitte weiterhin keine echten Mengen, Werte, Kontostände oder sensitiven Dateiinhalte ausgeben." }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_HUbRtcLI6C0k5eGtzQhtKZxT", "call_id": "call_HUbRtcLI6C0k5eGtzQhtKZxT", "response_item_id": "fc_0c76e56576ffc0fb016a06f2d6fe008191b64210cc975a6e9a", "type": "function", "function": { "name": "todo", "arguments": "{\"todos\": [{\"id\": \"b6-1\", \"content\": \"B6a Preflight und Runtime-Schema/Quellstruktur prüfen\", \"status\": \"in_progress\"}, {\"id\": \"b6-2\", \"content\": \"Execution Plan Runtime-only für 3 True-Wealth ready Items erzeugen und validieren\", \"status\": \"pending\"}, {\"id\": \"b6-3\", \"content\": \"B6b Backup erzeugen/verifizieren und genau 1 Payload produktiv als Ledger Initial Snapshot importieren\", \"status\": \"pending\"}, {\"id\": \"b6-4\", \"content\": \"Nachkontrolle Dashboard/Data Quality/Audit/Git-Safety/Tests; ggf. Commit+Push bei Codeänderung\", \"status\": \"pending\"}]}" } } ], "finish_reason": "tool_calls", "reasoning": "**Inspecting transaction schema**\n\nI need to take action and inspect the schema for transactions. I've already loaded the relevant skills, so that's a plus! However, this seems quite complex, and I might need to use some terminal scripts. There may also be some code changes required for execution plans and import support. It's essential to ensure no values are in chat, but I wonder if tool outputs can include them. I'll aim to aggregate only the necessary information.", "reasoning_content": "**Inspecting transaction schema**\n\nI need to take action and inspect the schema for transactions. I've already loaded the relevant skills, so that's a plus! However, this seems quite complex, and I might need to use some terminal scripts. There may also be some code changes required for execution plans and import support. It's essential to ensure no values are in chat, but I wonder if tool outputs can include them. I'll aim to aggregate only the necessary information.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvLW_iaWmUQlEDwaPolL-a0qIrSiyN0czO9Mw_flEw4U0EBuXTNTeTG_zRTXr2-sGxlIDMz9mIlW1QZEG-aHK5bZpBn9f1X_gfHVNiyjfHqZOPsCDhf_pTBXj5DPiOH1mPhb-Oid--BUygCcinIvXQ7dYbYNBPj-r1quyEk5jPNGcRbFW8xxnJjNN8PYtVlwYgMSQmUA1QP-_NmjF7w6Tx5N83TzTK-ZgcLlC34pIAB2C8tkcrDA8BxdDczkhe0i6HqlSL54aa-dl7JoAAIT1rZjCfLrQlZxRwhBxHNN3TsK4w1hoYMJnfSTGj7H7F9loIVnZAG4nDNkDqcZiynNtjId90Vo5QLcX0XtAcxxZdn6QZ64V6EjYs24troOCW4AyW1QFaJtaaPqwATol_EsXSTCAbPhdySh5KCpABhBh4mPlt8xhM9SMSVkbuF2riHPIulg0Lnx5VCnar9P4VRguWo3pGzz2aiPIjNqmQjIyD1caRmJZjz55RkkSGosooBcZf7TxEnAmbe-HHGzPmIkM3u0x5E-xwJm5X5xuFlb9eGkvpu9pNEUJtVIuC1dQbSW2L5w74huII3VEikPZEmrByLiepNYrQaVWrC-O1xcRJMvuphwuFuEL_OwB1lOziyb9Pz9opYqD-64tuABtuRfcqOv-wTpAC5P83r8TfiZ5ejEJI2lmIbjQ-MFiF4XyyCn7aHN9SmEVQWTqYPAjy2P0m0TkXEfdXRTbqrVWcwsBafESvcWSAOWlsEeRbDebnU-Zf5OgJOyfP8OgYO_AvsCjPMCip4AzrcvbHeY6h4NkTfBPxEdKjKe5rturwkQLFxtg4_1mZTPleTiRVSqh87gr9co_M8fdxNqtQL3hqmQ_nGxsUHWST3xJK5DT76a2v_KGQXrLbVxhJ0Zw-wY-peaGA0WRCKNUE2QJ_5vXXCt2onFkFduCnb0BeyM8jwpQTdPbmeykhPwJhuPQDi31kRxwGvyVKdjUN_3QMaPpkZEIH4eUkw6xqlrzIsrPwnyyj3WN4fFACjkR7VeA4PhzTQp2_UXf5RYuFD5GhrnlmkN4Sc7Wc-We4lWFP07edzTR0qj-L-rT2Qp22VoOFsKCUkvmxhsqPIaD7d7aTw0aBj6mZHmgGWtQViTGNiy84ZGp6mVvC41lgREB1u9Cq1rAi3svFs7v9IIkuq9MufCKjGibjDPt4uwAt4eD04zi-Ilrj12KvV8I9J5_5j9VsqNznb1jmyAVjWhNsr3uVzwwo9ScfyKczge1CLS2CDr0nk2Jv5GmPx8JJpUoa2Z5Mr3uSJ6tDVnyZjU7UWZoXs8J7UOUCHv9IuN5MtXG5-tYVq37TZWy4tT", "id": "rs_0c76e56576ffc0fb016a06f2d3bd6081919c3b22e06c0b7a8d", "summary": [ { "type": "summary_text", "text": "**Inspecting transaction schema**\n\nI need to take action and inspect the schema for transactions. I've already loaded the relevant skills, so that's a plus! However, this seems quite complex, and I might need to use some terminal scripts. There may also be some code changes required for execution plans and import support. It's essential to ensure no values are in chat, but I wonder if tool outputs can include them. I'll aim to aggregate only the necessary information." } ] } ] }, { "role": "tool", "content": "[todo] updated task list", "tool_call_id": "call_HUbRtcLI6C0k5eGtzQhtKZxT" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_MOqg1vJTAeqthrSjFsu9LImB", "call_id": "call_MOqg1vJTAeqthrSjFsu9LImB", "response_item_id": "fc_0c76e56576ffc0fb016a06f2da13d08191a359fb14c1520c02", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\": \"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\\ngit status --short --branch\\nPYTHONPATH=src python - <<'PY'\\nimport json,...[truncated]\", \"timeout\": 180, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[terminal] ran `set -euo pipefail\ncd /home/agent/.hermes/repos/FinanceManager\nPYTHONPATH=src ...` -> exit 0, 1 lines output", "tool_call_id": "call_MOqg1vJTAeqthrSjFsu9LImB" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_KTHqxXXrDmpbn6pLjwJhUXhV", "call_id": "call_KTHqxXXrDmpbn6pLjwJhUXhV", "response_item_id": "fc_0c76e56576ffc0fb016a06f2fa09fc81919457b0fb340063fb", "type": "function", "function": { "name": "read_file", "arguments": "{\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\",\"offset\":1,\"limit\":260}" } } ], "finish_reason": "tool_calls", "reasoning": "**Implementing Migration Plans**\n\nI’m considering implementing a plan for a migration or code update. The user suggests using a runtime-only script to create tables, which could work well. However, if there are code changes, migrations might be necessary—especially for a durable app.\n\nI also need to extract data from a DOCX file, but I noticed some rows were missed due to reference issues. Writing code to create the execution table outside of migrations could be better. The task seems to need a robust system, and I might inspect existing migrations to track version changes.\n**Mapping ISIN and Costs**\n\nI need to search by ISIN instead of row references and parse numbers as Decimal or text. I'm using Python and docx to find ISIN cells, and I suspect there might be duplicate columns for quantity, price, and market.\n\nI need to store this information in the database and confirm the snapshot date—possibly May 14, 2026. I should ensure I'm using the correct format for parsing and not printing actual values. I suspect cost basis might be missing from the True Wealth statement; it provides USD prices and CHF market values, but there's uncertainty about FX values. I should indicate FX status as missing.\n**Preparing Transaction Snapshot**\n\nI need to ensure that for the initial transaction snapshot, the quantity is adequate, and while price and market might be optional, I have some warnings ready. There are missing FX counts of 3 and cost basis uncertainties, also at 3.\n\nIf cost basis or FX is missing, they want to mark the transaction as incomplete. However, the payload status can still indicate it's ready with warnings. For importing, if FX is missing but without CHF fields required, I could store currency as original USD and also include original price and net amount. True Wealth report shows net position in CHF and price in USD, but I need to note any missing FX warnings.", "reasoning_content": "**Implementing Migration Plans**\n\nI’m considering implementing a plan for a migration or code update. The user suggests using a runtime-only script to create tables, which could work well. However, if there are code changes, migrations might be necessary—especially for a durable app.\n\nI also need to extract data from a DOCX file, but I noticed some rows were missed due to reference issues. Writing code to create the execution table outside of migrations could be better. The task seems to need a robust system, and I might inspect existing migrations to track version changes.\n**Mapping ISIN and Costs**\n\nI need to search by ISIN instead of row references and parse numbers as Decimal or text. I'm using Python and docx to find ISIN cells, and I suspect there might be duplicate columns for quantity, price, and market.\n\nI need to store this information in the database and confirm the snapshot date—possibly May 14, 2026. I should ensure I'm using the correct format for parsing and not printing actual values. I suspect cost basis might be missing from the True Wealth statement; it provides USD prices and CHF market values, but there's uncertainty about FX values. I should indicate FX status as missing.\n**Preparing Transaction Snapshot**\n\nI need to ensure that for the initial transaction snapshot, the quantity is adequate, and while price and market might be optional, I have some warnings ready. There are missing FX counts of 3 and cost basis uncertainties, also at 3.\n\nIf cost basis or FX is missing, they want to mark the transaction as incomplete. However, the payload status can still indicate it's ready with warnings. For importing, if FX is missing but without CHF fields required, I could store currency as original USD and also include original price and net amount. True Wealth report shows net position in CHF and price in USD, but I need to note any missing FX warnings.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvL6i87xjZpjOAThHHzv-k4FfSTqlJuirt7EL1HBxYnp75H96GxqdDoSX8A55y2RKv8xzEQ6I-tYdvIigh08t7I1Ki6IaE0Rtftodgxlma8Oc8dfis1VFJa1dCAZ1UI0GVmkIrk_OIx1kADPjd7_WNFKSBORpm6XYYQEJ9bgJWym2ng9YRIXjGjbzsfmKtzvdTn_i0yy7Y3oKnSbVypeGnrwbE6h2RxL9Mmx8DWyB7vrBi5S2PanGQAQzrTEEj7ciLQXapEEiMnUzcppu0uwiSnpnq0MtejupvujcNugXLWnDTi2RaE4vbR1bbgB372ML_bvdgDWkMg32SaDwJ3AcpADi2SrBuA-JPIslgbjnSXOT7OB0hHft9hMHcRBmGjksNu_oXk-2GXF9CRgEJ_i6O0uXgHX75dDcJ2ItsSToLZ7ENUkDh41d1Oiel-3RFxutOH2hcJwHTFCiysYUGKO0sCA_qfvV8i9iNiGc7_CkEdDTSCzKc1UJoMDuDIw8CtZTJpvd1jLjo1Oq5wGRfwBJGmd-Ia3n0g2wI3Ngeox1yEMFm6eJOobQqs3H-xYj4GUqfhv8G4g-IHk7CHYdglmiMVRB5cFdRh712ZPOlYJLSmk0UKraUMo2Fo-wr0L26VZpgVKlkFlhwdpzEQYNuq1yzzuZPuGReLfLOOP-rJNdxUsLQdTlhywr_ksjjZr5f2-ISPNirVbykbZixJsC0Ru33Fwu1A45D5sO_soc2hzSLnhOIkc-KoUn-x6zORCyQ-zI5i6CdsSFihpBys0TQ902qTTTHcfDKOCUCliE4eMJFx509YCRsC7tBSuIH1nWA10LhPPGWY2owSIVlKpUulz2wsCjjp7HAuGhsNKsxW6IUbYiKlvMlfQR26bQJdR3SwNdNNTYO_rnc9oocLTFpcpLwJdiCoFXupDqM_f1hA6egN5vI1xDumQgKdSVYwEcjPYY6JAs_IPzG5IQu2igfLMtZsUOgHw1mKBoBN4C_0h90VtRl_aou8GtevoG8XPtioQfqoF1y-jrwWIgOusr7L6G4UaNnCC1gBIP8-_GVyTdERc3r4V65Fttdf3VI3dhRCvcPE4GEk1EYVb7xEMnMVCTo0yog6ZIZy4MzZjZFsrpiEnJTVdC5BIiZmsXCDEve2jj09IbeHfShg_3067X3zNDcW_7OyjCz8Oq_fhFuWJJawsxhDFLj_qHSTi1Se_6ypKP-kqT-eljxkInn2ndB6Q0IJf_BAxl8-jmxOwJJbWtQK0EbpKLxblQHDMCZmnvUD2dyDrZWKxCd6N4GKaN7bEoFon5WxRA2a2dByJZEoUG59zTptcAKOzDsHFiA1Oo9SzqLAJVgC1fd4J3lkc6it1mWyURYNo_8AoiDw1TYq9auNeP_rsFuiw5_J8mNQ4oSMz3wODRbgpguBvm4n0Twen_vzeOWizfluTdjT_YyDUq1DXNg8-WGfEPnVthCqQ_BW95d22pazRsR_IthRhrmv53cKe0HcV17pIs8RRGyoOgw6fYx3Z0lcSPuvJ342yVvJs7SsJk3blfOqWi5Z9A_sCam-nLsuh0tlr_EhNy6ABobztXMZXjheSJ1WwNFTwuxL27hNKmRLCZDGGThsUYFba5Ojc7yhoBzaA0XZj4aoq-jRBxAb8woPvHQyGA5aX9kKInsoMwZIKiBQIxig9hbGjpNVEqJmts-kPqV2G8rsFU3gxKO8SKAm0ACF6v3SMahuOxkyM4E6YXHTLhnhSYTr4IDN9RXV-vGIVrS-crJqtJA5cKi8qoZ5z0ZJ7Tt-DwxW3AOBV8SqVlDXgbP1jNxNwGlknYyR-_GwqthRyydTMKgUJiagNEJltjmBu_VhZrT1WT-ZpkLxERu-SQXRC2E-sitf6v-wlbk3Th9VysMPqRaCkjxTEIwiaBVLv5OQ4LoHjOe-GccorDnFTPXvU5Snb1g0t8iSVhmb3ACDuSH4_Y9csqWPXf5RVhex8j2oDL53b4YwigIKtluD1a2tz-kiJDQkIkQiG7WmrT152rfymiJqT04GyfWftb0YwYWvYmfAtYg_WZgOCG8iiw5R9cZ4fEpzdX8SkE6as9Ky-vlyBdrY2nwOegjyMvGB0t0T4MLRtVsZARH3fB5Gsvbvn2ZNRCJ0wlsv3HwVwkZ4oUV5Md6m0LC7J9CO4T9SKxVM5JNLl3hE-xktK6cBQiKx7Scf9CVW_LXMLAJfO-lCQu61TptVb_tjEl3yT_fQaL8R057O8gb1EF7HwhHjI8V_fJnGCBMjGf29z6ywOO7IRDFCJFxodf3ZYkxOZryJCdAvu_5Uiq9pMosQKjoFjXN8M2Er_iuf_XKe1vgBlWKG91UenSWeOfatZ_uFGnXOMZQ2BZ2cw9xI_45uJpkubA2oEBZC3YVeekIJm-IOZPiSliCWTeYRZH2sHYKNsU_FIYxmxF_tGHfXF0NN3vVazsQ7Bg6T20N2lEoYFSrS9hYvBMcYqM_X5pIEbXG7yd840Fyik_QwpNTJ_cftIO4hxBG7aEzbBCxdRT__7UdWUqMiFlD-KIEL4V3IJU0j3hKt8PrsEH4w7aEybAfiyzG7C35fseca4a0jsblskF8Qf1KVBU5lV2v_uER6nu41cg5aMoKSuIapWMUjM-fqkB_azsVbu7HAqj4FYtI9a8ungQ6k62AypfKI6rQu2ceED1sD5hsZOvut7s4ZKDSVbGkxvr-mThb3rSmcGakCGbkrnZxlDcpdte33CFxC2FAgtrKtWMmycB5fyagQATqKFStMaFQZ_sLllMW345-HylvJBdV9k2BRdtZDQ_3W4FiRWe6Jas0o58IWomYz_BWck-te5WtPMeU_TsSsY82ZlsAs8pTp2vUyMOuy-NV80O383m_w973v12Bvh8RIQCDYOpZuiv3aRYdI7zbrK1EahoegOdDnkQbGmboNVU7oS3fe3OWS0Vu9BpTEeo37gzJUq54M-w-lLG3pWhxJFzv3nP6Ko-IkUEU_rfS3luTqMv8U82UcmPyPnmoXXSogwoUQRKhcc0sT59e3RSEy8WTlWjBpO2ljdENC6fm2Op5s-UeaPRWR7-YMoUwpYCmnhpsS55ZgZzsD88JmWQecvYswls0UXZ-SNfqgarB3wElAw3UwQuurr4CbgVzlo5pbw767Cf8vT05hq7R5Mlknf9A9cFbC7qy6UQ4Qqir35f-ha2lcXBZB9sfz6IN-CuEMy57yPgBDpNeim6LFhylfVqul6-64Oa3NSa60GhS5w1U6DZePB1zOWppnzUKAsemmHPSpI91djnsj5p3NXOgHcdJ8oUgp5kfMdoQOWqizg0GjWrjy9v4hBf--GYeEnvOVecR4LVNIo4B989Kh8AdleoddNZePgziZAJdE6dL2N6UGvz1QsUWtWBwbuPEEvfOqiKP9AtXsztPU0Iw4woXDGJJQdiVQPxbTHdA2gZBkbc-sLxpN2WPDTQBDIFACGpwgmdFm7A-cuzwZN5M__IbjzcFNfMzkBIkTwQES6Bv5bSpQEkcRC9bIRx10b6qAxsJu-eL3ZdfQx_NfEfwR1UkYoYIgcWMX0JmuSWxg8QmjU1ZwS0RMn4LuEMEtwwDnAA9x88Omt5z9f4k1NyGoU4kWun7rDM9V7BfOCAd6GGAxdoSRggw4QqsyBniKS7mRTG2dHILLKx5A1IA8_E7IfZhfb1eis1oBrcswJhHGjLR3LyG_hpyPqPGebm4vK7OPe4hYaN1aDRYkBX_c_ruE_UxN8m1NwAOrrU3qfhcyx1bTd3nvvN6mY0myh_qNFaDVkCxAS9VkvRK1Qd-ujBD44MdVmpWP6fbVrHNfgnIC8sTRBMNgMJ_d5-BCbtuwGCtTDGqVIVJ33pI25aLY2lgiWOPkeMoIn2IoI7D018RvXOkEcBGeftCYqN-lJDJjKcEDXnMSgTWZ_ote1wSVidqeSSRerHLQxBdQUMtxarOuoiA34cTGzIYk3Im5CG8JUHLY2--zx_IKPlzsrTNPPh8661d_DnWYskSv1IKi-f2rqojEdsC3kw7MTjXc5g6JCGzUFAJkj5WDzm8NWlGg9XYlRh68DueHkzMHIngvj8WrTRicvIvsQycUumDC_SLNUGfpxdZ_5dENp_KOmB4neGsq_ugY7Z5WH4sUUfeSaQPakdRCJfuOPXXyWZMJJON5oUlBQIH2QqONSO4LMHjH7pIaN7fP5CEMFWDMgPQu-2gDhOLQ6iFY=", "id": "rs_0c76e56576ffc0fb016a06f2e98bec8191bae97d014d198b25", "summary": [ { "type": "summary_text", "text": "**Implementing Migration Plans**\n\nI’m considering implementing a plan for a migration or code update. The user suggests using a runtime-only script to create tables, which could work well. However, if there are code changes, migrations might be necessary—especially for a durable app.\n\nI also need to extract data from a DOCX file, but I noticed some rows were missed due to reference issues. Writing code to create the execution table outside of migrations could be better. The task seems to need a robust system, and I might inspect existing migrations to track version changes." }, { "type": "summary_text", "text": "**Mapping ISIN and Costs**\n\nI need to search by ISIN instead of row references and parse numbers as Decimal or text. I'm using Python and docx to find ISIN cells, and I suspect there might be duplicate columns for quantity, price, and market.\n\nI need to store this information in the database and confirm the snapshot date—possibly May 14, 2026. I should ensure I'm using the correct format for parsing and not printing actual values. I suspect cost basis might be missing from the True Wealth statement; it provides USD prices and CHF market values, but there's uncertainty about FX values. I should indicate FX status as missing." }, { "type": "summary_text", "text": "**Preparing Transaction Snapshot**\n\nI need to ensure that for the initial transaction snapshot, the quantity is adequate, and while price and market might be optional, I have some warnings ready. There are missing FX counts of 3 and cost basis uncertainties, also at 3.\n\nIf cost basis or FX is missing, they want to mark the transaction as incomplete. However, the payload status can still indicate it's ready with warnings. For importing, if FX is missing but without CHF fields required, I could store currency as original USD and also include original price and net amount. True Wealth report shows net position in CHF and price in USD, but I need to note any missing FX warnings." } ] } ] }, { "role": "tool", "content": "[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py from line 1 (13,255 chars)", "tool_call_id": "call_KTHqxXXrDmpbn6pLjwJhUXhV" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_q2kzIAcGFVTy9oWAwZOgrRsG", "call_id": "call_q2kzIAcGFVTy9oWAwZOgrRsG", "response_item_id": "fc_0c76e56576ffc0fb016a06f301cadc81918573fe0c97da63a2", "type": "function", "function": { "name": "read_file", "arguments": "{\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\",\"offset\":261,\"limit\":80}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py from line 261 (1,118 chars)", "tool_call_id": "call_q2kzIAcGFVTy9oWAwZOgrRsG" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_MtQCIPKosYQ7oenFGVF7pqRU", "call_id": "call_MtQCIPKosYQ7oenFGVF7pqRU", "response_item_id": "fc_0c76e56576ffc0fb016a06f309f9708191b1bdf4cfe310d323", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\",\"old_string\":\"MIGRATION_VERSION = 6\\nMIGRATION_NAME = \\\"006_broker_review_queue_hardening\\\"\",\"new_string\":\"MIGRATION_VERSION = 7\\nMIGRATION_NAME = \\\"007_broker_import_execution_plans\\\"\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Considering database migrations**\n\nI need to add a table and maybe import statuses without needing a schema. I'm thinking about adding helper functions or doing a direct script, but I'll need tests if the code changes. It might be better to patch migrations and schema tests. Writing an import helper module could make it cleaner, although I could just focus on the migration itself. Creating the table will be necessary, and using write/patch seems like the way to go.", "reasoning_content": "**Considering database migrations**\n\nI need to add a table and maybe import statuses without needing a schema. I'm thinking about adding helper functions or doing a direct script, but I'll need tests if the code changes. It might be better to patch migrations and schema tests. Writing an import helper module could make it cleaner, although I could just focus on the migration itself. Creating the table will be necessary, and using write/patch seems like the way to go.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvMJDe3VGCLeoPi1JgeqIMtHLKakxMJSZQXzxKkrwhvYf3DUY9jjDfnS9V-qzpFAVWgYLpX_3tfKShRB8-hQjzF1jF1cHjY2YNfDEOkn0yi7NtprCqhe0g1X0h0nzRwhCkGT6zbeMBFfrEIy8sTOe16tm-B_UiWyesT2IgsNQXifz-nkZ8UaJ4T3xeexBeWGS4wQspvUR6livdHrvJw_6Ui5Pumo1R1U5ighkqm2AWKmkvXk4H6WzDIMVKI7qbATsRraXAXA164h9g5JloJqU3J_c214mD4ICDrkeYg63dgnIUW_lylzVvjvPL2Zc0MELtvTfNxy4m4iiy2yOHtf0UGQXFGsy6JOU22AUlzDzbcOSdAun6ZEY9BVBCJ7TeTvHMH9IcRAc3FGsQ86Op8MFBQayesN0OUnzZuCk8cy0xnt_g3BXrWSFOQPEEDDrfmTi72oJFAM0p7Oyyiwzh8kqFsXjQH0FtLErJSTw_WiOKdTwLeJZm6F2BcNBWhh_KD7i2vxgsYu9sPFTFMhZsf1V_y1nJZG7wryi4Rdw-lsJloOSdq6StlPwamni6po3PqGqmOHg6J2F1q9iZC4pMLzNIe8wHwUJf4GGP0dQdtmrWwjyzZsvBqTMYlxhSY4l3CE9sIPJMCYc786KmGcKDX4pmEJ8JJX5bdkrdw6IyxF7LY7u9e-1-TahVnA42mgdPs7Gf-jXMFcpwyN73FDwlWv2VQcyJbIJiwOLhyG59HAN6d0hqkKYnckScckPaS4Ls6QMU6h7DAYH29NjnhG2DMxq3pYDIODudLEcav6n7y3oeuzSrnt3CEIU6v71QE-90h0s1PvNAMyl8daGeeiKXvWQ4Hr3ocFlzueNGSWp_XXfDR9RT_8neiU4z44AGagGWLCI9k2cRZMhtGOtBVe-XJnlWjg4-CZgp0pD_RBua1WugkeFeWce3FOAosY7GS3FR83VjcJpSiOMNQ1YWFq3-_z1lrSCiJbahuJ0zs-gmQQGnMNooy3kWkkE5x-CKQOCqqGgTfCIrit0ESCOVaDV8cGCZy5x8i_G7HIxEEDHhd6GdiTxpXvYKmqPd1BidGpiJXBNrA0Ooo0eifQQiID4zo13NP95QkewMU72PqnTdIiXb2VtEG9RJ7k72FG8BEqGRgOeTFxbczajCNserd-Y2-66TTHnH-59-pQ9phnHahFTimBY2y4I0JwDA5vySHvFSitSFZ21blZBU4IEu0lxbvtbocnVTvctqUJGBkTyFoP_CeVC-9c-CRw3sJI2DvhhORMk_O2CjrrW6XprmQK2Ijj-sRqVxcD2j55706c1vrTV6w0oyauG3qzfHDRocRli6EycMRWgN9jTdhnKZJmFQ7hkBeyWUr594nAPhn6flt5rs0EVAISzORcM0Gnwk-MeaEl4Vkvj60UlRCwD0y6auPXrqiil0ozqIM3CPvXHXEdT9ng_a8=", "id": "rs_0c76e56576ffc0fb016a06f306b79081919b8ca5a252e6158f", "summary": [ { "type": "summary_text", "text": "**Considering database migrations**\n\nI need to add a table and maybe import statuses without needing a schema. I'm thinking about adding helper functions or doing a direct script, but I'll need tests if the code changes. It might be better to patch migrations and schema tests. Writing an import helper module could make it cleaner, although I could just focus on the migration itself. Creating the table will be necessary, and using write/patch seems like the way to go." } ] } ] }, { "role": "tool", "content": "[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py (856 chars result)", "tool_call_id": "call_MtQCIPKosYQ7oenFGVF7pqRU" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_zz2VZDOPEpO6CGRRyeYIH1Jx", "call_id": "call_zz2VZDOPEpO6CGRRyeYIH1Jx", "response_item_id": "fc_0c76e56576ffc0fb016a06f312e07c81918741aa77c2b164c4", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\": \"replace\", \"new_string\": \"\\ndef _create_broker_import_execution_plans(conn: Connection) -> None:\\n conn.executescript(\\n \\\"\\\"\\\"\\n CREATE TABLE IF NOT EXISTS broker_import_execution_plans (\\n execution_plan_...[truncated]\", \"old_string\": \"\\ndef _apply_compat_migrations(conn: Connection) -> None:\\n _add_missing_instrument_columns(conn)\\n for table, text_columns in TEXT_AFFINITY_COLUMNS.items():\\n _rebuild_table_with_text_column...[truncated]\", \"path\": \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py (2,493 chars result)", "tool_call_id": "call_zz2VZDOPEpO6CGRRyeYIH1Jx" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_XX8Xw6IxS7silPHT2oYDbN7z", "call_id": "call_XX8Xw6IxS7silPHT2oYDbN7z", "response_item_id": "fc_0c76e56576ffc0fb016a06f32304a0819183f6eb12baa4e005", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" assert get_schema_version(conn) == 7\",\"old_string\":\" assert get_schema_version(conn) == 6\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[patch] replace in /home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py (832 chars result)", "tool_call_id": "call_XX8Xw6IxS7silPHT2oYDbN7z" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_atehNBHpjU8cCmvyNanjg5US", "call_id": "call_atehNBHpjU8cCmvyNanjg5US", "response_item_id": "fc_0c76e56576ffc0fb016a06f327ab108191b9c39e4d12957374", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\": \"replace\", \"new_string\": \" assert {\\\"review_item_id\\\", \\\"dry_run_id\\\", \\\"source_platform\\\", \\\"source_row_ref\\\", \\\"row_hash\\\", \\\"source_label\\\", \\\"normalized_name\\\", \\\"detected_asset_class\\\", \\\"detected_currency\\\", \\\"quality_flags_json\\\", \\\"revi...[truncated]\", \"old_string\": \" assert {\\\"review_item_id\\\", \\\"dry_run_id\\\", \\\"source_platform\\\", \\\"source_row_ref\\\", \\\"row_hash\\\", \\\"source_label\\\", \\\"normalized_name\\\", \\\"detected_asset_class\\\", \\\"detected_currency\\\", \\\"quality_flags_json\\\", \\\"revi...[truncated]\", \"path\": \"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[patch] replace in /home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py (1,664 chars result)", "tool_call_id": "call_atehNBHpjU8cCmvyNanjg5US" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_Z59wJQpWJsjMIAXnjmDraBLu", "call_id": "call_Z59wJQpWJsjMIAXnjmDraBLu", "response_item_id": "fc_0c76e56576ffc0fb016a06f3412c54819197eba7f2c4be1586", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\": \"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python -m jarvis_finance.cli.main migrate\\nPYTHONPATH=src python - <<'PY'\\nimport json, re, hashlib, uuid\\nfrom decimal import...[truncated]\", \"timeout\": 180, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Planning runtime migration**\n\nI need to apply a runtime migration and build an execution plan carefully. I'll write the script without printing values. A snapshot date needs to be parsed, and I might compile it later. First, I need to use python-docx, and I'll utilize Decimal for parsing.\n\nWhen identifying table rows by ISIN, quantities appear first as numeric labels. I plan to normalize text by removing currency symbols while ensuring to store strings accurately. I also need to compute a unique source row hash from the row text and prepare a summary JSON payload.\n**Building transaction schema**\n\nI need to clarify a few points for US ETFs in USD. I see that the detected currency is CHF, which might indicate the market currency, while the source price is in USD. It's essential to establish the planned transaction fields, using trade_date instead of snapshot_date. \n\nFor initial_position_snapshot, I might include gross_amount_original if the source provides it. However, I've realized that transaction details include gross_amount_chf and may need to address the contradictory \"fx_status missing.\" I’ll keep price_original in USD and gross_amount_chf in CHF, while ensuring cost is noted as missing.\n**Setting up import process**\n\nThe user mentioned \"imported\" or \"completed,\" and I see existing filters do not include \"imported,\" but I can set that up. It seems like the schema might not have any constraints, which is good. \n\nI need to ensure there's an import execution log that includes execution plans, the execution status, and auditing. A backup command could be necessary — I’ll need to check if it can come after step B6a. I should look into the CLI backup and verify the command syntax since I previously used backup-runtime-db output.", "reasoning_content": "**Planning runtime migration**\n\nI need to apply a runtime migration and build an execution plan carefully. I'll write the script without printing values. A snapshot date needs to be parsed, and I might compile it later. First, I need to use python-docx, and I'll utilize Decimal for parsing.\n\nWhen identifying table rows by ISIN, quantities appear first as numeric labels. I plan to normalize text by removing currency symbols while ensuring to store strings accurately. I also need to compute a unique source row hash from the row text and prepare a summary JSON payload.\n**Building transaction schema**\n\nI need to clarify a few points for US ETFs in USD. I see that the detected currency is CHF, which might indicate the market currency, while the source price is in USD. It's essential to establish the planned transaction fields, using trade_date instead of snapshot_date. \n\nFor initial_position_snapshot, I might include gross_amount_original if the source provides it. However, I've realized that transaction details include gross_amount_chf and may need to address the contradictory \"fx_status missing.\" I’ll keep price_original in USD and gross_amount_chf in CHF, while ensuring cost is noted as missing.\n**Setting up import process**\n\nThe user mentioned \"imported\" or \"completed,\" and I see existing filters do not include \"imported,\" but I can set that up. It seems like the schema might not have any constraints, which is good. \n\nI need to ensure there's an import execution log that includes execution plans, the execution status, and auditing. A backup command could be necessary — I’ll need to check if it can come after step B6a. I should look into the CLI backup and verify the command syntax since I previously used backup-runtime-db output.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvNBmY4zBZXBuFz1sB3yLFAaYbQqsz-8_48DNR_jyxjD5rtwVwJHkQ_AapgySODjavb9HJ1uxmy7QwButfPlSA12NHll4NwErFgcephkyfVnqnb_g42TaYz8zV4Bv__THgRHPKwLLZsZIVH5G9LHvhBJh_nXhhxb8_EJ_KgiuswwNXzgGNtFALTs9bndA1pWGJ3yRTnFLBXP01m5vN_WoETbcYu8cWlb7U3TaPAypEO7HCKDHq1Nwpkf12AGECALu3R_mgU8PP7B-Eeqt4C4Uf60ND0fS5K_hPXJ37ELT3jshg7IHXb9w30nYuu1VHAywp6D_f8wUDDHyVMsV47pFL0eKkAar48R7RlUZTuFuByJDZft4pcJrOLAIN1qOuhFBz4sW-8K1rMox6GSK5uEU68GY2LZbas3c6AilSOZlnoCsmYmA0-POdeMCkZEkcD2Wn-lgN_vHzU54-3yRFtkraGJ97j9lIOuAq36ZjOrIzBSZzRzSk9_sEVdlwxmIF9r7fziCM-ssSu-2ES31tizCdTvq8zzH4CXsfTqwgSS8heFvCpLHpjCYPoDtgiXQg_vOiYY-5WtiZuk2pqGzGLBTcJ6p0SzF2akTDAv8B_rqPts36fxY4z-1pRCI17pVtGtsFCB_0pVNCTY1aLttcvZULtu5bLAyVBeVzIeVtV5fpm3cemzjM31lVxtMshYkVTWrwd96W6c_SKVmHPxlzG_FVKrlIcT9LJXVbi2muRfy5DozcFBIDC-265wRKo2zkT_ReALN3btK9gezOclJH6DYfitaQzx7RP60DBO80yd-jA0wG09aHMZhd9W2ICcdVWHcQxz44dX4J7zxjCilTdVV--EG7XyU0-N8hydAhwGia6ahOmEOgROHV6MiCmCbPNU9JyJtfRmIsEF6f8KBtyqynt1fG7jAq-swXBnRaQ43tWH7xrNy-p4lNP-ZM01L20cRWtyAqODTWrG4FmbhmS7KMwmdBtntsAs0d-KirTOPgybpXF9DDmlNxr0vxpKmvQWXHGruimN8FG6VGoDgJB6DFGIDE3V1Y3So3mDqEfYajG6aXaiQyzSY-dIIB3RKB505eQ1aTSTnSsJ_wcxQrWavoXVfDcdax9QDgMXAgInah5Gv-LbNKboh2HnQkCEls86A97g11n-lHtY2a0Ja0MdL268icCyDC87eVSovf2rtCr1pCRZG7OIdjwNlIL4R0YRm1z2BHk-chChLzwLBHYLmmyjJC9bk65JeM3gJvvG86W3hHfeKQMtejXzwUnncLqXJ_hwxUVYreJ1kQIlgFqg56gqxXxikzDXZexKBnhL6OyK-16enCQDW-upBI2dVmxmyY-l8Y4eq5LePkzNCjYK3U3xCE9Y931q0ms-6wdhpVEFAzAmJ9SNQCmyrvX17NTcfGkFD51vMOJp5qzWHhOowGsHLtGBMjp4sC3vRTX_JyQfA58ceUSTSiI5QzWA_zm2ADCPfILYiSLqCZRIXPPOXnhDV_8UukClST5Ldf-U1pm2rlsywe3MvwsxUuteoOGlsHZPgR29kLBRrjj8NrCba4NIZVtX2cbhPEQc0fjeJxZfcr9wxZXuXP1FFaGivrUxyqYx6bfkwGNJfFDURXt0B59hxv0mOgbzk9HfAahkEZnM88bunx-mH7NESpI1r1N8BD7cj1E_dXe65nzNusbqoZ2TfT71bBA49Yh4mGqMCmh0TSbwdtKVzliGgq8OslejRnRZEAOsQqjjjcSu_e5C8r_F_-k5bZqurmDOmyVNyAZ6ilcAvr6Vq6wBQPtyCq42C4KfqrAlPhqFIbCmBinFYxZbTdq2rVeO4REJgOCtmcs91QY8X0lj1uTEcwHEHPJ7vYG1Za82SwfdnrX7NKR1xsHxhk1MkU2cIYBrchdiO2nIBz8vSUFWzRuiwoDucCqIHhTeNsTXxKs08hv5Iu3JGyKUG5T6YSUvs1ZTReJ6F1dnm1nT294zthxv-GkRiLGpux0t_O3j7WuC40akyvLDo-o6y_KD9dVY8M7zU9DiF0lXh1C58gp6zAM9vOpQ00ZyZ-8fI2Bjc6TkzlBkJ-hBzdPL9FYBzPu9FBj6q5lGYSyl4N27YWNpyeoxNzsTIr32jISJmOsZQ8WyNfSbvLs53tP0Bq2fsWbe6u_TkC_jQ2dVp_QyTnba8XHPkktpThmnzO0JhgxF7LuXIgslWOHiRNoP9F1Y9nIJpoxEPWXRlzZiKk_TU5wC5FQE19fMNM79c7IEbMxJIyoO2oXWCGOG3FkmnnJHUX2FOpGSSsAogR8vqGBqBRF5hoTVaYU9ou9lYOFYLjU7CkD3sWxfrh1AAoTqDLEReQ0z9qkjL_4abthgcEe4JdKY_2z6myaFy_pKvCmcp69c1BSzDz3QwCHL8ct4S44Dh_t6UtKyLexs8xqQTulxipy7YT3c0Dqioa3WGCyrD_Ecx2lf7W_xooFpIngxJdnfjgAI14lL8pXbgsdFNZ8-N3XQzwKxzsdag9aSJxM2lhC6jGlbocyZ7dvsJFMZqpfvlnRBd3FakKdcbvbRzApvV0sMI5o_IUVQIoyXZm293t0uD0Y_4VCag4RDPqrVq7kDQc3PJbfxM6uj7GrwfMt0oFKzoa0r6X6HdcdI4TT66WNgZJwhxwoBVaOZcHh_E6UQeSXybK0i8VrMnhd8xIgvq4gQNg5C6dN-1NsLzVvuix09l10pjjU4wJirUY6RkW0HXHMhia2VAypp6-SXAbvM40YJRxL_VAp0fcblTq1C1sMa1wAnNESU101aeiw9vU7E0zNzGmyeib5lNE_yqbY2Smj3ebMZ9Etant8ZzMcTWoMYAx9RVnkqXGIdVnGdQVhrE96gcO_UE5CVkyaAlmuGRFKTZFVvjI5zB36UDC4lePkQTxXj-RRIyi7YTmpdZiCVD6WP39Ax-J_qoEfYuRCO8TYBOssEas5CXRG0LM1Q-mFpYeiVRt_GuFlrZUNBerew9qIwCldhxhryHUNdV8FZu8sqVbuwrNibi5Q-qQhKpB0Q3pUPoeaNMC_KEvGXQJ5EHMw8SHWCxQ5MNjN4WOIoYOhzrB_Ftjiv-v892g9dRH8Sp4ncWnS91TvVFZz5kjE_O0d7q4sV6FEArP2gpGW5Bo1reZ48XZe5t3Nz579_yMu0mJziaVDIYV8o6Y3e1B_5ElXNGGRJ9i_veGLS21CjVmzBSZTUobSOvnAnv-ZMk3HXU2SxFICI_hlDcPYjXdsdwaEKT2cSoQbZ_KxjSe0MLLKE9P_Hi9IYOuFRTwZatfJjQb6dVbF1Sn1COGJHfs-zEivn4mjSFuUQBeeTlU-2yRfJeaji0Qh-LfSymrBa_UFw09pfDWs2kudWYWteW7YiiXrRVrBTuRDAx4qRmCm22KW_NKln8R1FRh6W5W9OiO4C0Cp78TXpaRC5hY0G9VBSLaOsR84XEiUIR8HqQyMykLz_RSk3drSJQLna2BAc3eRi5oLa5DZzWg9kYOiMna36jRTDINjcTSW7AJTuYRpxxUVNzaulJXgyDHWtRXa9YdlX3aCctmqMDDNN2KQA14vvNYbkw0t8VviSnLHEUjTL0X3j0zOgeqKCl6NwlONvMqE6OwvOmVLTqF6C2WohK2MHHvtPfqbe8_ePiBF2ZvgADfanpjJnSXMAAZZDN9cF5L13LSor7hHRd4UOvQRBomL6Ls31hqhFwlkR8wWQZGWCt6uHHZMRioOoCHNtLk2yT1NcqibgeUddK6iR3_OznqlDRgZd1WFpMif5GTNaX1DpAS9Oj_fr0V1axGBrm2SbbfJtAH2QuRWRHDPOKNT4JlxINJyg_YCyyO_is-KcN9Pa_7PP3ov4qV8bqaqaMD6na4muP18-2XzIJdBCDgE2iTAiDykOFfSSX_d5XgxEqCwiATEqQsL2kil5Ra44PoavtTwhI9JYlWLMfRHwWAgrZym-9kGaK4nn963y3-FhKZgNX_xKzjr2q_kr6910G7Uz-0p4W69v6KcziHgfJTfKjlp7bJ47q6P9ZnyQ_HatQkLOnGV8X_hwbIxCFxm1OdvlPs1VYdJA6gdjyH5tCosTCAREeFMuxfh6T1mOwJYdbaoj-5JTkpveTwcHf6UAqJqQudZYm8afQBSmkHR00GCeo4rKVEm9nFZs1jEPoQZRG55RiM8u-QxfJzZyy2uQyFaBz9Y3ooFWgc44cF_lcemiSditpOQN5Bvzzmb4PKn9WqaliYbeBgPAD2ltvciywJ4g9aOZSp_r0KWJXr_xXXP8pIvjbocC8hhYoIJmbgbA8W9UA2RJfPdgL0zHxSPCksckOYHcdVxqrZUdbxACEuGl_OiYKUh4dpEmWc_iiNyWBRvBY7uqjco2TdWb9lPOB-P2PXIhFfQBqo1-arrIUqK1WQ==", "id": "rs_0c76e56576ffc0fb016a06f332a4b08191a872dd66c5fcd85a", "summary": [ { "type": "summary_text", "text": "**Planning runtime migration**\n\nI need to apply a runtime migration and build an execution plan carefully. I'll write the script without printing values. A snapshot date needs to be parsed, and I might compile it later. First, I need to use python-docx, and I'll utilize Decimal for parsing.\n\nWhen identifying table rows by ISIN, quantities appear first as numeric labels. I plan to normalize text by removing currency symbols while ensuring to store strings accurately. I also need to compute a unique source row hash from the row text and prepare a summary JSON payload." }, { "type": "summary_text", "text": "**Building transaction schema**\n\nI need to clarify a few points for US ETFs in USD. I see that the detected currency is CHF, which might indicate the market currency, while the source price is in USD. It's essential to establish the planned transaction fields, using trade_date instead of snapshot_date. \n\nFor initial_position_snapshot, I might include gross_amount_original if the source provides it. However, I've realized that transaction details include gross_amount_chf and may need to address the contradictory \"fx_status missing.\" I’ll keep price_original in USD and gross_amount_chf in CHF, while ensuring cost is noted as missing." }, { "type": "summary_text", "text": "**Setting up import process**\n\nThe user mentioned \"imported\" or \"completed,\" and I see existing filters do not include \"imported,\" but I can set that up. It seems like the schema might not have any constraints, which is good. \n\nI need to ensure there's an import execution log that includes execution plans, the execution status, and auditing. A backup command could be necessary — I’ll need to check if it can come after step B6a. I should look into the CLI backup and verify the command syntax since I previously used backup-runtime-db output." } ] } ] }, { "role": "tool", "content": "[terminal] ran `set -euo pipefail\ncd /home/agent/.hermes/repos/FinanceManager\nPYTHONPATH=src ...` -> exit 0, 1 lines output", "tool_call_id": "call_Z59wJQpWJsjMIAXnjmDraBLu" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_oi9Ui0mMjVOBLJ3Mp59tcZHR", "call_id": "call_oi9Ui0mMjVOBLJ3Mp59tcZHR", "response_item_id": "fc_0c76e56576ffc0fb016a06f368483081918795c6cba885753c", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"B6a Preflight und Runtime-Schema/Quellstruktur prüfen\",\"id\":\"b6-1\",\"status\":\"completed\"},{\"content\":\"Execution Plan Runtime-only für 3 True-Wealth ready Items erzeugen und validieren\",\"id\":\"b6-2\",\"status\":\"completed\"},{\"content\":\"B6b Backup erzeugen/verifizieren und genau 1 Payload produktiv als Ledger Initial Snapshot importieren\",\"id\":\"b6-3\",\"status\":\"in_progress\"}]}" } } ], "finish_reason": "tool_calls", "reasoning": "**Confirming backup process**\n\nI realize I need to back up my files with a reliable command. It seems the code has changed with the migration, so I might need to commit those changes later. I should look for a backup command to ensure everything is safe. Also, I want to verify if the backup CLI has options or help commands that can guide me through this process effectively. Let’s make sure I’m covered!", "reasoning_content": "**Confirming backup process**\n\nI realize I need to back up my files with a reliable command. It seems the code has changed with the migration, so I might need to commit those changes later. I should look for a backup command to ensure everything is safe. Also, I want to verify if the backup CLI has options or help commands that can guide me through this process effectively. Let’s make sure I’m covered!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvNo2T45msjsm7KaeIV6ajuwb6rrBF-4MUbEgLfNk_bhVjaAI0n0av9T_QFw6IqdRyXovkl37ZhNWW_u6qrr-bkYBfNGVcvfXP3N9lKyz35mVwkS2AszZuUsLEBR4yqFPuUMPLr2526cI2d2FQOgze6wdqiJ4U-vEAWhBXaNvu8nePpgos7Shr6F5ddv3pSHAikttJ4fenWKRVaASgk04gQnQtSCyFOpSAXbMLp7-RVCH-T-WEYP2oAQF2HpBoWvc_ox0mAgzWiBngdGpcR6C-zH_samNPx_H_FlYQa0AS55E0Ei6X0QXUjTNNJfnDoymESlx1i41G_wSA0_ADUgMeG876LRimL2beVZGdyBViSND8vF3QbcEovI2dLpIL_Iv67UVhqxglL1uFknyqJ-uzk26wIQe7V6gzqGt9nnssn8wErED6W0QQG4UYclZtRo_mxPtyvBMexXkuWxQEGKjGaaiskT1GIAkkaSMxY0EGo6TWlV_pux3mxolm6ElDMdHO_1Jm1MpgCAEhT5WK-RmgHB0ZtFy_Ig0oO30a6175IDR3cyZb080tQQwQjhmkaohOW4c4yAvp6kY_jfRH2vmvE7TPKedtXu6WYluxiFG76kG5QBNRNDEzlf-bNGgACqxJiDFxbxYkH1vTdTzcyUvAuKr-fIykq5pCdezO9_O1DfmsRwPSlZqINy_09nKtwYFHyUa5mkGNx6QGmmUpskivuu0IvYZRsj1HSeqKXGDVAMs3LP9HTwsSwZXA4jIJwzenFa0AB_B4IcCK6eDrG1udDkwk_h0-w6eO6Zpf9nS4A95NwYAoqt-DBS-tLGZBscdbfPGxoU61TbvbkwAZfFAU78mxoqhkssLXeN-WsNY6HeuARzBVyLo2_uoi6geWQIrUCTo0LGgywjIw_5kd2ZW_dTxs79hjN5tWZMPtCwsIyhQLORhws276bAVNvdGS42rxbGvBlGDH_9lGhRf6187bxOoy1mDIT9Id5aRGJXomL-TZdoublXI0vU-uoNV0660HeZee6tXEjasXM0JAnAlb-OJ0-41R4rogZOH4X7jvlhalYirqRhbjUejv1_Vkj4XptW7d4n1MOrFVYjznvmiYsANw==", "id": "rs_0c76e56576ffc0fb016a06f3655c80819199c11f51827c5de9", "summary": [ { "type": "summary_text", "text": "**Confirming backup process**\n\nI realize I need to back up my files with a reliable command. It seems the code has changed with the migration, so I might need to commit those changes later. I should look for a backup command to ensure everything is safe. Also, I want to verify if the backup CLI has options or help commands that can guide me through this process effectively. Let’s make sure I’m covered!" } ] } ] }, { "role": "tool", "content": "[todo] updated task list", "tool_call_id": "call_oi9Ui0mMjVOBLJ3Mp59tcZHR" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_5ZRapIV1KIr0nG0PHCg5XTdG", "call_id": "call_5ZRapIV1KIr0nG0PHCg5XTdG", "response_item_id": "fc_0c76e56576ffc0fb016a06f36d812c819191a57507c63939e5", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"cd /home/agent/.hermes/repos/FinanceManager && PYTHONPATH=src python -m jarvis_finance.cli.main --help | sed -n '1,200p' && PYTHONPATH=src python -m jarvis_finance.cli.main verify-backup --help | sed -n '1,160p'\",\"timeout\":60,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[terminal] ran `cd /home/agent/.hermes/repos/FinanceManager && PYTHONPATH=src python -m jarvi...` -> exit 0, 1 lines output", "tool_call_id": "call_5ZRapIV1KIr0nG0PHCg5XTdG" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_VdgSAKG2VBz18sm9FGhMOiNI", "call_id": "call_VdgSAKG2VBz18sm9FGhMOiNI", "response_item_id": "fc_0c76e56576ffc0fb016a06f372fcc08191b46aafa05212c12d", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\": \"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python -m jarvis_finance.cli.main backup-runtime-db > /tmp/b6_backup_out.json\\npython - <<'PY'\\nimport json, re, subprocess\\nf...[truncated]\", \"timeout\": 180, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[terminal] ran `set -euo pipefail\ncd /home/agent/.hermes/repos/FinanceManager\nPYTHONPATH=src ...` -> exit 1, 1 lines output", "tool_call_id": "call_VdgSAKG2VBz18sm9FGhMOiNI" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_Iwy8SVg8kwKUMxEZpV1osc9C", "call_id": "call_Iwy8SVg8kwKUMxEZpV1osc9C", "response_item_id": "fc_0c76e56576ffc0fb016a06f37ba6f48191925b7dca72a891c6", "type": "function", "function": { "name": "read_file", "arguments": "{\"path\":\"/tmp/b6_backup_out.json\",\"limit\":20}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[read_file] read /tmp/b6_backup_out.json from line 1 (454 chars)", "tool_call_id": "call_Iwy8SVg8kwKUMxEZpV1osc9C" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_DYHg3iuHS4Ssme6zFC8wzuZd", "call_id": "call_DYHg3iuHS4Ssme6zFC8wzuZd", "response_item_id": "fc_0c76e56576ffc0fb016a06f37f8f608191ba1b2bd5e7e91357", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\": \"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\npython - <<'PY'\\nimport re, subprocess, json, os\\nfrom pathlib import Path\\ntext=Path('/tmp/b6_backup_out.json').read_text()\\nm=re.search(r'ba...[truncated]\", \"timeout\": 120, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"output\": \"{\\\"backup_created\\\": true, \\\"backup_dir\\\": \\\"/home/agent/jarvis_runtime/finance-system/backups\\\", \\\"backup_verified\\\": true, \\\"checksum_ok\\\": true}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_DYHg3iuHS4Ssme6zFC8wzuZd" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_xw0n6aCHNFxBomgxeCZJ3476", "call_id": "call_xw0n6aCHNFxBomgxeCZJ3476", "response_item_id": "fc_0c76e56576ffc0fb016a06f38a95288191a55f7cdadf62b91e", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python - <<'PY'\\nimport json, uuid\\nfrom jarvis_finance.config.settings import load_settings\\nfrom jarvis_finance.storage.database import connect\\nfrom jarvis_finance.storage.migrations import apply_migrations, utc_now\\nfrom jarvis_finance.audit.log import record_audit_event\\nconn=connect(load_settings().db_path); apply_migrations(conn)\\nbefore_tx=conn.execute(\\\"SELECT COUNT(*) AS n FROM transactions\\\").fetchone()['n']\\nbefore_pos=conn.execute(\\\"SELECT COUNT(*) AS n FROM positions_snapshot\\\").fetchone()['n']\\nbefore_cash=conn.execute(\\\"SELECT COUNT(*) AS n FROM cash_balances\\\").fetchone()['n']\\nplan=conn.execute(\\\"\\\"\\\"\\nSELECT * FROM broker_import_execution_plans\\nWHERE source_platform='True Wealth' AND payload_status='ready' AND execution_status='planned'\\nORDER BY created_at, execution_plan_id\\nLIMIT 1\\n\\\"\\\"\\\").fetchone()\\nif not plan:\\n raise SystemExit('no planned ready payload')\\n# Idempotency: same execution plan/review/source hash must not import twice.\\nexisting=conn.execute(\\\"\\\"\\\"\\nSELECT transaction_id FROM transactions\\nWHERE source_type='broker_import_reviewed_snapshot'\\n AND (source_id=? OR source_id=? OR row_hash=? OR external_transaction_id=? )\\n\\\"\\\"\\\", (plan['execution_plan_id'], plan['review_item_id'], plan['source_row_hash'], plan['execution_plan_id'])).fetchone()\\nif existing:\\n imported=False; tx_id=existing['transaction_id']\\nelse:\\n payload=json.loads(plan['planned_write_summary_json'])\\n tx_id='tx-'+str(uuid.uuid4())\\n now=utc_now()\\n conn.execute(\\\"\\\"\\\"\\n INSERT INTO transactions(\\n transaction_id, transaction_type, account_id, instrument_id, trade_date, settlement_date,\\n quantity, price_original, gross_amount_original, fee_original, tax_original, net_amount_original,\\n currency_original, fx_rate_to_chf, fx_source, fx_status, gross_amount_chf, fee_chf, tax_chf, net_amount_chf,\\n source_type, source_id, external_transaction_id, row_hash, is_confirmed, quality_status, notes, created_at, updated_at\\n ) VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)\\n \\\"\\\"\\\", (\\n tx_id, 'initial_position_snapshot', payload['account_id'], payload['instrument_id'], payload['trade_date'], payload['trade_date'],\\n payload['quantity'], payload.get('price_original'), None, None, None, None,\\n payload.get('currency_original'), payload.get('fx_rate_to_chf'), 'missing_in_source', payload.get('fx_status','missing'), payload.get('gross_amount_chf'), None, None, None,\\n 'broker_import_reviewed_snapshot', plan['execution_plan_id'], plan['execution_plan_id'], plan['source_row_hash'], 1, 'warning',\\n 'Initial Snapshot from reviewed True Wealth dry-run execution plan; cost basis/FX incomplete; no positions_snapshot direct write.', now, now\\n ))\\n conn.execute(\\\"UPDATE broker_import_execution_plans SET execution_status='imported', transaction_id=?, executed_at=?, updated_at=?, notes=? WHERE execution_plan_id=?\\\", (tx_id, now, now, 'B6b mini-import executed for exactly one reviewed payload.', plan['execution_plan_id']))\\n conn.execute(\\\"UPDATE broker_import_review_items SET review_status='imported', reviewer_note=?, updated_at=? WHERE review_item_id=?\\\", ('B6b mini-import completed for exactly one reviewed payload.', now, plan['review_item_id']))\\n record_audit_event(conn, source='broker_import_execution_plan', action='execute_mini_import', entity_type='transaction', entity_id=tx_id, old_values={}, new_values={'execution_plan_id':plan['execution_plan_id'], 'review_item_id':plan['review_item_id'], 'transaction_type':'initial_position_snapshot', 'quality_status':'warning'}, user_text_note='B6b productive mini-import of exactly one True Wealth reviewed initial snapshot. No values emitted to chat.', confirmed=True, created_by='phase_b6b')\\n record_audit_event(conn, source='manual_review_queue', action='mark_review_item_imported', entity_type='broker_import_review_item', entity_id=plan['review_item_id'], old_values={'review_status':'resolved'}, new_values={'review_status':'imported','transaction_id':tx_id}, user_text_note='B6b linked imported transaction to review item; no mass import.', confirmed=True, created_by='phase_b6b')\\n imported=True\\nconn.commit()\\nafter_tx=conn.execute(\\\"SELECT COUNT(*) AS n FROM transactions\\\").fetchone()['n']\\nafter_pos=conn.execute(\\\"SELECT COUNT(*) AS n FROM positions_snapshot\\\").fetchone()['n']\\nafter_cash=conn.execute(\\\"SELECT COUNT(*) AS n FROM cash_balances\\\").fetchone()['n']\\n# Ledger computability check without printing quantity.\\nledger_rows=conn.execute(\\\"SELECT COUNT(*) AS n FROM transactions WHERE transaction_type='initial_position_snapshot' AND source_type='broker_import_reviewed_snapshot'\\\").fetchone()['n']\\nother_ready=conn.execute(\\\"SELECT COUNT(*) AS n FROM broker_import_execution_plans WHERE source_platform='True Wealth' AND payload_status='ready' AND execution_status='planned'\\\").fetchone()['n']\\nreview_status=conn.execute(\\\"SELECT review_status, import_readiness_status FROM broker_import_review_items WHERE review_item_id=?\\\", (plan['review_item_id'],)).fetchone()\\naudits=conn.execute(\\\"SELECT COUNT(*) AS n FROM audit_log WHERE entity_id IN (?, ?) OR json_extract(new_values_json, '$.execution_plan_id')=?\\\", (tx_id, plan['review_item_id'], plan['execution_plan_id'])).fetchone()['n']\\nprint(json.dumps({'mini_import_performed': imported, 'new_transactions': after_tx-before_tx, 'positions_snapshot_delta': after_pos-before_pos, 'cash_balances_delta': after_cash-before_cash, 'ledger_initial_snapshot_count': ledger_rows, 'remaining_ready_planned_payloads': other_ready, 'imported_review_status': dict(review_status), 'audit_logs_related_min': audits}, sort_keys=True))\\nPY\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvOK97lPmli994j8yC4UaNFBLPJp3rBe8X_-djel2ycNVJH7CCi03c2QaoIeKZKrDlR1iUQrSfy7ARv4i9r2H3o7Ua-ceDu26h_Uh-MuE-lcuICV5oP6dk-fIro2wn7kOzbWypj1GZqj1q2QGlFVL6Aqjz0H8ObBAXaD-KKybv_GD-K8AbX77E96H2ztxXvte2Xe1X-ejKHG6wy00T00XYkzHp3Xz2Ry51XRP-R9Cx6TccUTdqCv_mtbSlz-u2w89AoVbBRABzkdyyjQopglsNuGipsU4a310_pAL-3HLhh9H9wB22lN8McM0yNX8dPwJ4dxceM8KUQhaz2_G0aM2lfTgNttD0Rh8DAn9qvdh2RkOuXoyxsFHEYZ5lyrcQzPHmHWDT6xnX3A-mzpV1hWgdw1DtS_kfGtRh9wDE-JTD5PvKXYr6XmlkrbODtNExu9bx1VYisFyN-kwFA40ahV3_af4GqMiMcLp6_iT08AYUwsPgDMWI3OjEHOgkwTZSSr4FgXRvZDyx1yJvpfICZoHttS19eA26NU0hixiz9wtnuCjT2WRmxSGbQRUZYjfa-226YS7kj9hbQutEisbSEF_yyjaFpBhVXFnrgX6GOlQJmrnP9G_pHwT9Mnmmh2nexUqtUOKMjMR1zQzP8K23eiX3CGDL6T98B2wOOp09vZv6vv5ftwLtXdkMkIjiR72ZoWI1xuNHBL4o4_2eTpDyncxFpVOfkXqfRQuXRRidedCTSNcC0doUp07NsJLuNKAhaAWdFJL-WxifRahixommqJsKPZ-hXWxW3nDLv-OXsmPDFUlQWI5gmx5CMpGUHzTC7tJK2NqfpFSrqY-9b68BYB99x8pf9MAnAZ6T8dbN5JgcdzkoSZUJ4u0fd86p47Z-ILdxAvwWyAQVyPImCqLnMmH6jygk_8UYIaU4Tsx1EuRRdHE0XlNRLOLalLqoEMnx4BqRrtJLBvd4bP8qix8iYDLOtLiZVG4BlOSAjB809C2GwzEXvJ8kLwtFqOLUevSj1_G5RkkwwGGvyVVRAk62tdA85BmgWdCHUSHc4uVeH_KRofoTf_K2LBf9Rima5N2JC8mFOljf63M1OPJQ4iXLBHy1sq45PQj7KZIr3DaXMmqvYQam5czgUpuBqh4qBtpZjqUuapgApl_sMKc-q04b-GpT_3BCf53CaDBzZ9TgQfe6QGK4ljSHZHZnV70TRZ71XuAsehKBuxV1y8Ot3FUxSR0x914WUOYEginH8A_5hahpfKkx-GJJYDeLBICp1_IC80vCKuM_LDgrTCEjfvY1VOsyvbIaQKjec8wFaW7wth0QH1FfMmvnKrB8HIWhlSSc2pbkdjioztSyI08EDqzibsf7XTCJup3s967utNxBdm2aglQsEGL1QksNbvqCb90ZDrRv__sDKCBRdwl3bXDo68cwLrup5r3YIMnDvkZXBil7n95dDi9AkBf7b4YYCvBw9pSwtgWdDVHTFO5JRS7EbLFKAdaneZoxGIIsN4MdMN24M9gbVnH_3J5YKMJxr3_COhu353Q8zM5aPpye4v0u09adRkTtPokCoUX1LN79r77BVef_MV5JtPWlhzMMi3-2xOR1_lpsDAvHSWzMtd656gijI1SvccL-G75ms4Dpgw_Vx3W5uWy3tKZ9HyldlQFUNc-ldwb6HifOd3vxIV84iarGSRLhG7oHal5hZHA-s3svDq5UIPCpaQyqeQwBJ6Cnk3gdQae8fiVCZh9B6UDf11_p_njgpKWsr8GqeFcg6ySSfNoaCR__K3pVKJcv-0NyIGlantpCA-IPXtr36JBTfXBX_9p9Ufw4fUsOx0kBqe8Sh3y7mYPd4cvYn8XQ6MsClkN9w93jPFH4ndcrkeEXeotiygHKjPblj3RPqGWoPNzsHWpqOmZiNWkarsUNW8KtPzyVt6hoRszZwZGlwt2NaitWrrKZDreeYU3e6zLwy8Q_jSXF5YdhH1JqMd8tiXn1JFA8np-hgIHwftosEO7HdGZrpfQ9GGuSV5ZqH2dnvAKhMtKWSvI6aA1n6wM1LAOa-JEGND4twkp-qfBgYdf4w4SHDLkqNexVh4okOMfNA0LI_5akjiuQ9qymwC7nixwKOrUjiTKkbTCr0ku2M2s-80X7Qqum-_eqXGpcqXqBVYi8MtrS2QZgBgmsoXK2mp91LHU7kd", "id": "rs_0c76e56576ffc0fb016a06f386ca1c81918abb0177a630f8de", "summary": [] } ] }, { "role": "tool", "content": "{\"output\": \"{\\\"audit_logs_related_min\\\": 9, \\\"cash_balances_delta\\\": 0, \\\"imported_review_status\\\": {\\\"import_readiness_status\\\": \\\"ready_for_import\\\", \\\"review_status\\\": \\\"imported\\\"}, \\\"ledger_initial_snapshot_count\\\": 1, \\\"mini_import_performed\\\": true, \\\"new_transactions\\\": 1, \\\"positions_snapshot_delta\\\": 0, \\\"remaining_ready_planned_payloads\\\": 2}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_xw0n6aCHNFxBomgxeCZJ3476" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_fmvSbG8OAcodY96DFlzgTDJn", "call_id": "call_fmvSbG8OAcodY96DFlzgTDJn", "response_item_id": "fc_0c76e56576ffc0fb016a06f3ac6a7081918895eb952bda724b", "type": "function", "function": { "name": "search_files", "arguments": "{\"limit\":50,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages\",\"pattern\":\"*equity*\",\"target\":\"files\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Planning database checks**\n\nI’m considering a dashboard check, maybe needing to inspect the import wizard and run a query. Data quality seems important, and I should compile tests, though they might fail due to a schema version update. I'll need to check the git status on code changes and commit afterward, but first, I should run validation. The migration from version 6 to 7 seems necessary, noting that the existing DB has version 6 while the new memory only creates 1 and 7.", "reasoning_content": "**Planning database checks**\n\nI’m considering a dashboard check, maybe needing to inspect the import wizard and run a query. Data quality seems important, and I should compile tests, though they might fail due to a schema version update. I'll need to check the git status on code changes and commit afterward, but first, I should run validation. The migration from version 6 to 7 seems necessary, noting that the existing DB has version 6 while the new memory only creates 1 and 7.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvOsyB6404YibNtxYV1Hkx01T7EXlZwDJFL80uecOm8q7NUUy2xmDL534s3e8u20CXVuN84B_9lKskef-aKGvsNZQH0O5VyNi-85Tqy9KF7hkvbE1iHhwu4aPUBIi6N_pdL-BVtex0iZDUudSwoxNCuilPaPa5KezgGfQijFYBnPwrfLa_smZkqc1ssNLza2rok9eDZrR5HIqW7LgXs2bVEm02_Qj5my3gdNU2T6aUuRvjTyrjxyU75SDos50xlefZywcJzQMTHlcp98dKa1vlWI3pwQ2ZApRkWyOd6m--bmLbXs3cjrzs6nWfu2w-o5eXmTseKeVE4O3R3aaLKaNuPBRQLh2ymrwzAtuRMmDR2vg3v-H9uEnLCmf_sMCezb9eSgFhc-rv_ZivVL7iCBAO1J0ico-HL-9_B3twThg0DPw8ozh8sY3pKbn_1_WnTC9-NnuXd0WBO1xXm0VpJlh0jX5rD6pOI1YKH-kR-VCSOVrT7hLGHW8MusP4xMvp-8dUzUnn9tqQWaJDGo0x9Bn8YQsQNOST2as0kIqNJXOozAmUekNIZZc2uvDl-Qrq-AEd8kKOb6dubTx0b-QlUO6BTLZ9XeFGkm0GhF5D1LXFEFSRtcO3ybp6ySM7-VGqvVLrOLi6gUPEcWxYqdK7qgOc0501GrPViHQlPhsZDEpgknh0PLWkmDHKxAZuiyHnOEOodubnuTpZ0cySrYS1k9o38b7Jm9OHSLxqqwQ4ThaqSeizszv0cPA3Di81rxXIlwxy5uQlD9fFrj_0-9st-PDOSwfFDL53wOfYwvZ8tofZPPHyeTthOmzgkFKbqIKdqMRt8EfLyRBY3aBA05kMVmgBItMeaT9ckWiCyxQihu6ugc3bkdi6_Jddnnuzv9dg3nHRB3jd40G0Ds473KTQ-zN0x9OUDhVSH8HcB6Ifv73NkRPPzs4qru_1itMBReS6g4EkAsQNTfnGiUh2SoqvOtu2p6B__HDbY5lsFNWLlre8EUldVLzwH4-m77_E1M9nMWsIOTQk-rZbpJ8RvoJg5b51joA4bwHjAPtTgG_u1md0mMh6KaDCEBYLQbap0xIOIp6afAb4PcQ1Dyl6zwQcv5LGwuVW_8WCU2ndpaRUDVL0cALBu6Qvitt1CjDrqwsPOS8S7GuzNIRxBwCsE7i4J7IrgjOZlfdVUT5aiiGQ0dDWUU5e13MV5Bk-HDutkiIgOM3SpqGuwxa78ywyl3i0G1BewRVSdUYTY1Tdk6t4MMp02V2A6GpVVrnUykcN3WtphxDNlyJ1stt-3N0A6A8h3rqjgSKYZclaTjsmF8CKboc2lSohEvlW8hH4bJigOx3PJeMAO3VYGEOqtouAh-M9vHkaZEIUIgCL-sK68JcGNfvwSjH_P0bdhlmbbQSZLjLV123zjZjsIrTgy-Fi3m1FP6VzWZIGy-9MPoBmIrmvTJXtrge2QoxmMK9c7bPY6OYKIYwxjLjz-FTmu52QDwXmLzjpmRbJk0t-V9xTorGvK7sJPPasZFq1I2pyGV_ohJYurYIWUEdkmZ0YBLtubtD9ZbXh6-peDt9Ms3Yd2pWJIeBBwWx6QyaXYQ0kuPZib4kGkbksRFhKCKd4B5g04fReNuJIaE58vEkSfsISgHXRAH6JT5wHwPdQ3zbGv1Bxv47Ek0p0S1njoA2c17jJIF8s3LhorundNLOOAvP4JqMSk6ixxErQb2u3DBl8JO_cXrpRSpVy-jXkLZ_SnbZILIOk5fiB2byCodfQo4Rfi7nxXoYqx0986qX47WqR9Nme0kcqJASgWORZ9ThMoTBzFyh7ODefL3BtloLX-LwF2Wn42Ixr8gXKKP5WZoW4NRQd_n25UTyx_p-GRYtve32Y25yfJGw6kab6s5qIXKa6dFbIKqGvlTV_tac1cx3XHdJ5a0le36ZMWqYOx2Sz_CUb_COQ0G08-Q5A==", "id": "rs_0c76e56576ffc0fb016a06f3a64fac8191b9e513d5420b2da2", "summary": [ { "type": "summary_text", "text": "**Planning database checks**\n\nI’m considering a dashboard check, maybe needing to inspect the import wizard and run a query. Data quality seems important, and I should compile tests, though they might fail due to a schema version update. I'll need to check the git status on code changes and commit afterward, but first, I should run validation. The migration from version 6 to 7 seems necessary, noting that the existing DB has version 6 while the new memory only creates 1 and 7." } ] } ] }, { "role": "tool", "content": "{\"total_count\": 2, \"files\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/__pycache__/page_13_equity_manage.cpython-311.pyc\", \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_13_equity_manage.py\"]}", "tool_call_id": "call_fmvSbG8OAcodY96DFlzgTDJn" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_Tq2UOiD9EHTIDF6dNDapsh5E", "call_id": "call_Tq2UOiD9EHTIDF6dNDapsh5E", "response_item_id": "fc_0c76e56576ffc0fb016a06f3afbe908191953240d7d7d3ed45", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":200,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_13_equity_manage.py\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|from jarvis_finance.dashboard import data\\n 4|from jarvis_finance.dashboard.components.tables import show_table\\n 5|from jarvis_finance.equity.manage import add_equity_initial_snapshot, add_equity_transaction, get_equity_management_options\\n 6|\\n 7|PAGE_TITLE = \\\"Equity/ETF Manage\\\"\\n 8|\\n 9|\\n 10|def _account_label(row: dict[str, str]) -> str:\\n 11| return f\\\"{row['platform_name']} / {row['account_name']} [{row['currency']} ]\\\"\\n 12|\\n 13|\\n 14|def _instrument_label(row: dict[str, str]) -> str:\\n 15| suffix = row.get(\\\"isin\\\") or row.get(\\\"ticker\\\") or row[\\\"instrument_id\\\"]\\n 16| return f\\\"{row['name']} ({suffix})\\\"\\n 17|\\n 18|\\n 19|def _selected(rows: list[dict[str, str]], label: str | None, label_fn) -> dict[str, str] | None:\\n 20| if not label:\\n 21| return None\\n 22| for row in rows:\\n 23| if label_fn(row) == label:\\n 24| return row\\n 25| return None\\n 26|\\n 27|\\n 28|def render(st, conn) -> None:\\n 29| st.title(\\\"Equity/ETF Manage\\\")\\n 30| st.caption(\\\"Auditierbare manuelle Aktien-/ETF-Erfassung. Dashboard liest lokal; keine Broker-Dateien oder Live-APIs beim Rendern.\\\")\\n 31| st.warning(\\\"Keine stillen Überschreibungen: Initial Snapshots, Transaktionen und Korrekturen werden als bestätigte Ledger-Ereignisse mit Audit-Log gespeichert.\\\")\\n 32|\\n 33| options = get_equity_management_options(conn)\\n 34| account_labels = [_account_label(row) for row in options[\\\"accounts\\\"]]\\n 35| instrument_labels = [_instrument_label(row) for row in options[\\\"instruments\\\"]]\\n 36| tabs = st.tabs([\\\"Hinzufügen\\\", \\\"Kaufen\\\", \\\"Partial Sell\\\", \\\"Full Sell\\\", \\\"Dividende\\\", \\\"ETF-Ausschüttung\\\", \\\"Fee\\\", \\\"Korrigieren\\\", \\\"Review\\\"])\\n 37|\\n 38| with tabs[0]:\\n 39| st.subheader(\\\"Aktie/ETF als Initial Snapshot hinzufügen\\\")\\n 40| account_label = st.selectbox(\\\"Depot/Konto\\\", account_labels, key=\\\"equity_add_account\\\") if account_labels else None\\n 41| asset_class = st.selectbox(\\\"Assetklasse\\\", [\\\"stock\\\", \\\"ETF\\\"], key=\\\"equity_add_class\\\")\\n 42| name = st.text_input(\\\"Name\\\", key=\\\"equity_add_name\\\")\\n 43| isin = st.text_input(\\\"ISIN (primäre Identifikation)\\\", key=\\\"equity_add_isin\\\")\\n 44| ticker = st.text_input(\\\"Ticker optional\\\", key=\\\"equity_add_ticker\\\")\\n 45| exchange = st.text_input(\\\"Exchange optional\\\", key=\\\"equity_add_exchange\\\")\\n 46| currency = st.selectbox(\\\"Währung\\\", [\\\"CHF\\\", \\\"EUR\\\", \\\"USD\\\"], key=\\\"equity_add_currency\\\")\\n 47| quantity = st.text_input(\\\"Menge als Decimal-Text\\\", key=\\\"equity_add_qty\\\")\\n 48| cost_basis = st.text_input(\\\"Einstandspreis / Cost Basis Originalwährung\\\", key=\\\"equity_add_cost\\\")\\n 49| fx_rate = st.text_input(\\\"FX-Kurs zu CHF (bei EUR/USD)\\\", key=\\\"equity_add_fx\\\")\\n 50| fx_source = st.text_input(\\\"FX-Quelle\\\", key=\\\"equity_add_fx_source\\\")\\n 51| fx_status = st.selectbox(\\\"FX-Status\\\", [\\\"ok\\\", \\\"missing\\\"], key=\\\"equity_add_fx_status\\\")\\n 52| snapshot_date = st.date_input(\\\"Snapshot-Datum\\\", key=\\\"equity_add_date\\\")\\n 53| category = st.selectbox(\\\"Kategorie\\\", [\\\"Core\\\", \\\"Opportunity\\\", \\\"Unknown\\\"], key=\\\"equity_add_category\\\")\\n 54| note = st.text_area(\\\"Notiz (Pflicht bei unvollständiger Historie)\\\", key=\\\"equity_add_note\\\")\\n 55| with st.expander(\\\"ETF-spezifische Felder\\\"):\\n 56| ter = st.text_input(\\\"TER optional\\\", key=\\\"equity_add_ter\\\")\\n 57| distribution_policy = st.text_input(\\\"ausschüttend/thesaurierend optional\\\", key=\\\"equity_add_distribution\\\")\\n 58| index_name = st.text_input(\\\"Index optional\\\", key=\\\"equity_add_index\\\")\\n 59| fund_domicile = st.text_input(\\\"Fondsdomizil optional\\\", key=\\\"equity_add_domicile\\\")\\n 60| benchmark = st.text_input(\\\"Benchmark optional\\\", key=\\\"equity_add_benchmark\\\")\\n 61| confirm = st.checkbox(\\\"Ich bestätige diese einzelne Änderung\\\", key=\\\"equity_add_confirm\\\")\\n 62| selected_account = _selected(options[\\\"accounts\\\"], account_label, _account_label)\\n 63| st.write({\\\"Aktion\\\": \\\"initial_position_snapshot\\\", \\\"Name\\\": name, \\\"ISIN\\\": isin or \\\"\\\", \\\"Ticker\\\": ticker or \\\"\\\", \\\"Währung\\\": currency, \\\"Datum\\\": str(snapshot_date), \\\"Hinweis\\\": \\\"Keine Massenänderung; Speicherung erst nach Bestätigung.\\\"})\\n 64| if st.button(\\\"Bestätigt speichern\\\", key=\\\"equity_add_save\\\", type=\\\"primary\\\"):\\n 65| try:\\n 66| if not selected_account:\\n 67| raise ValueError(\\\"account is required\\\")\\n 68| result = add_equity_initial_snapshot(\\n 69| conn,\\n 70| account_id=selected_account[\\\"account_id\\\"],\\n 71| asset_class=asset_class,\\n 72| name=name,\\n 73| isin=isin,\\n 74| ticker=ticker,\\n 75| exchange=exchange,\\n 76| currency=currency,\\n 77| quantity_text=quantity,\\n 78| cost_basis_original_text=cost_basis,\\n 79| snapshot_date=str(snapshot_date),\\n 80| category=category,\\n 81| note=note,\\n 82| fx_rate_to_chf_text=fx_rate or None,\\n 83| fx_source=fx_source or None,\\n 84| fx_status=fx_status,\\n 85| ter_text=ter or None,\\n 86| distribution_policy=distribution_policy or None,\\n 87| index_name=index_name or None,\\n 88| fund_domicile=fund_domicile or None,\\n 89| benchmark=benchmark or None,\\n 90| confirm=bool(confirm),\\n 91| )\\n 92| st.success(\\\"Initial Snapshot gespeichert und auditierbar erfasst.\\\")\\n 93| st.write({\\\"instrument_id\\\": result.instrument_id, \\\"transaction_id\\\": result.transaction_id, \\\"warnings\\\": result.warnings})\\n 94| except Exception as exc:\\n 95| st.error(f\\\"Speichern abgelehnt: {exc}\\\")\\n 96|\\n 97| def transaction_form(tab, title: str, tx_type: str) -> None:\\n 98| with tab:\\n 99| st.subheader(title)\\n 100| account_label = st.selectbox(\\\"Depot/Konto\\\", account_labels, key=f\\\"equity_{tx_type}_account\\\") if account_labels else None\\n 101| instrument_label = st.selectbox(\\\"Instrument\\\", instrument_labels, key=f\\\"equity_{tx_type}_instrument\\\") if instrument_labels else None\\n 102| date_value = st.date_input(\\\"Datum\\\", key=f\\\"equity_{tx_type}_date\\\")\\n 103| qty_default = \\\"0\\\" if tx_type in {\\\"dividend\\\", \\\"etf_distribution\\\", \\\"fee\\\"} else \\\"\\\"\\n 104| quantity = st.text_input(\\\"Menge als Decimal-Text\\\", value=qty_default, key=f\\\"equity_{tx_type}_qty\\\")\\n 105| gross = st.text_input(\\\"Brutto/Cost/Proceeds Originalwährung\\\", key=f\\\"equity_{tx_type}_gross\\\")\\n 106| currency = st.selectbox(\\\"Währung\\\", [\\\"CHF\\\", \\\"EUR\\\", \\\"USD\\\"], key=f\\\"equity_{tx_type}_currency\\\")\\n 107| fx_rate = st.text_input(\\\"FX-Kurs zu CHF (bei EUR/USD)\\\", key=f\\\"equity_{tx_type}_fx\\\")\\n 108| fx_source = st.text_input(\\\"FX-Quelle\\\", key=f\\\"equity_{tx_type}_fx_source\\\")\\n 109| fx_status = st.selectbox(\\\"FX-Status\\\", [\\\"ok\\\", \\\"missing\\\"], key=f\\\"equity_{tx_type}_fx_status\\\")\\n 110| note = st.text_area(\\\"Notiz / Grund\\\", key=f\\\"equity_{tx_type}_note\\\")\\n 111| confirm = st.checkbox(\\\"Ich bestätige diese Änderung\\\", key=f\\\"equity_{tx_type}_confirm\\\")\\n 112| selected_account = _selected(options[\\\"accounts\\\"], account_label, _account_label)\\n 113| selected_instrument = _selected(options[\\\"instruments\\\"], instrument_label, _instrument_label)\\n 114| st.write({\\\"Aktion\\\": tx_type, \\\"Instrument\\\": instrument_label, \\\"Datum\\\": str(date_value), \\\"FX-Status\\\": fx_status})\\n 115| if st.button(\\\"Bestätigt speichern\\\", key=f\\\"equity_{tx_type}_save\\\"):\\n 116| try:\\n 117| if not selected_account or not selected_instrument:\\n 118| raise ValueError(\\\"account and instrument are required\\\")\\n 119| result = add_equity_transaction(\\n 120| conn,\\n 121| account_id=selected_account[\\\"account_id\\\"],\\n 122| instrument_id=selected_instrument[\\\"instrument_id\\\"],\\n 123| transaction_type=tx_type,\\n 124| trade_date=str(date_value),\\n 125| quantity_text=quantity,\\n 126| gross_amount_original_text=gross,\\n 127| currency=currency,\\n 128| fx_rate_to_chf_text=fx_rate or None,\\n 129| fx_source=fx_source or None,\\n 130| fx_status=fx_status,\\n 131| note=note,\\n 132| confirm=bool(confirm),\\n 133| )\\n 134| st.success(\\\"Transaktion gespeichert und auditierbar erfasst.\\\")\\n 135| st.write({\\\"transaction_id\\\": result.transaction_id, \\\"warnings\\\": result.warnings})\\n 136| except Exception as exc:\\n 137| st.error(f\\\"Speichern abgelehnt: {exc}\\\")\\n 138|\\n 139| transaction_form(tabs[1], \\\"Kauf erfassen\\\", \\\"buy\\\")\\n 140| transaction_form(tabs[2], \\\"Teilverkauf erfassen\\\", \\\"partial_sell\\\")\\n 141| transaction_form(tabs[3], \\\"Vollverkauf erfassen\\\", \\\"full_sell\\\")\\n 142| transaction_form(tabs[4], \\\"Dividende erfassen\\\", \\\"dividend\\\")\\n 143| transaction_form(tabs[5], \\\"ETF-Ausschüttung erfassen\\\", \\\"etf_distribution\\\")\\n 144| transaction_form(tabs[6], \\\"Fee erfassen\\\", \\\"fee\\\")\\n 145| transaction_form(tabs[7], \\\"Korrektur als manual_adjustment\\\", \\\"manual_adjustment\\\")\\n 146|\\n 147| with tabs[8]:\\n 148| st.subheader(\\\"Aktuelle Equity/ETF Übersicht\\\")\\n 149| show_table(st, data.get_positions(conn))\\n 150|\", \"total_lines\": 149, \"file_size\": 9049, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_Tq2UOiD9EHTIDF6dNDapsh5E" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_DLiDO7lH4YNqdeAHby1jvpxr", "call_id": "call_DLiDO7lH4YNqdeAHby1jvpxr", "response_item_id": "fc_0c76e56576ffc0fb016a06f3b63fe081919cf4a43a5ff10c36", "type": "function", "function": { "name": "search_files", "arguments": "{\"context\":4,\"limit\":20,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py\",\"pattern\":\"def get_positions|FROM positions_snapshot|transactions\",\"target\":\"content\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Investigating position discrepancies**\n\nIt looks like the page is getting positions from a snapshot that it likely won't recognize since there’s no direct snapshot available. The user mentions that positions from the ledger are calculable, and the dashboard page seems to recognize these imported positions. I think the current page is using get_positions, but it might not be connected to the ledger. I need to inspect the data from get_positions to clarify this situation.", "reasoning_content": "**Investigating position discrepancies**\n\nIt looks like the page is getting positions from a snapshot that it likely won't recognize since there’s no direct snapshot available. The user mentions that positions from the ledger are calculable, and the dashboard page seems to recognize these imported positions. I think the current page is using get_positions, but it might not be connected to the ledger. I need to inspect the data from get_positions to clarify this situation.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvO2yheNVOcFBoLhQHQdQoqaD161jar_bzJ1oN9XRjx-bOW7j-gdqkWSfQztHCfKteHgDF8PDUuz4ot2zBrerhyluE_LTWzay9Rfnyyv7DTcVWSh-rhYyVKC9QAX-qzEj9KdZpoFqbFjBY1QRvMMryQFsCYGJ0Ug1tt89iFjeWxvYRuJZj-Ulqsu5NUJgmncYoxZinXPEjIzQuDmHTxJFJhULCgCJn7zmBDIS7i1QeyWA30b0wGA4JYJsFi9pta0faHUhZm-siIdCCIPN-vuY0B5rThqhfccQHuGElEdTkXwYvHRvSwhZ2J_9Dt_5-l8M4S7ixvmeUx1gIWqz_Z8k02RoR5uRSCnrxGBE1Qa_a_o6CqatwmGGT_EpogPrRoDZtVQZ2fnIPb1AdYZrRf2I8xHXtPye7uWvjP6z8GxD8GpUoSx1TEVD5fzrpCnsDb9N_PMYoXllNYRRAAzknr4U7khn0IF5W3djtvnUdhtaAJgQnxvkp0tjJ1AFd06uki0OLtNiy7JLUkztsbc_GQq31YiLL2D1-uxNzPwaVIXBkotNgQ4VC7Ygk2HPoaaMU2VW0poIt99x_898nHOcPo1na7i1PwQX6-Gqrxg8g46s1ryBI6pUKELolZD4QSHrTH1JSBjdiT3R-JYDnID5mM2IppSATMijBN4N6rczlVdP3CaVsYA6qpdXQJt-d1PPFijle0Ae6XKrQ_7Xiqsg7JFBZlVol4n4IFkr5wHNL0rzWdzVDUv470DxdEguAV_QxyA5eDoY5-VZpFUnh9lT4NZJPsqtAkgLMV-WJxremjls_zsipR3TxhD5A_nRr2tYA-cNTvzctpxKfcikIul0N66-THuDCaMkI8kkYgPiQdBZBQaxGQ_-RuYDn_uM39lZ8KEJh9ee7ukzkuOFqjNernHUshGn_cmhpNvbMetlYdF03CyUxFoJs6XEPI_U0awOSHVwp7IWoaUhPH9z9gcjX1uHnRQFZCrKiFmYmdPwg4Nhvz9HRiVDobBkVLuHesYwOK11rVCc_poQKrCAIADeym0VdQUt_GcTb7fyrZk9Ft23wVbti6jT_ipOOxRLOZ38UZ5Cjxbco1JwAYpyQk9LNeXxc1HK_7ZROaDFANPNWNFJLMXEL5HQVkVaprtzSFLWK83GGkKP_cL5ptnztwcjGUysvEGE_GN6iJqMqH6ko6XsdMYZaBJ_0P1n8y-m9E13XnMa5icfsdF8sziu5LUUQglBui6Q4Gl0-QIbuF1CcrC29VBTUpnl3BLeHK6J5cl6ZfXu1Ko", "id": "rs_0c76e56576ffc0fb016a06f3b3a3f08191b94a360b48303b03", "summary": [ { "type": "summary_text", "text": "**Investigating position discrepancies**\n\nIt looks like the page is getting positions from a snapshot that it likely won't recognize since there’s no direct snapshot available. The user mentions that positions from the ledger are calculable, and the dashboard page seems to recognize these imported positions. I think the current page is using get_positions, but it might not be connected to the ledger. I need to inspect the data from get_positions to clarify this situation." } ] } ] }, { "role": "tool", "content": "{\"total_count\": 0}", "tool_call_id": "call_DLiDO7lH4YNqdeAHby1jvpxr" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_aM1KhGFEVAYCUrp36CTy39PR", "call_id": "call_aM1KhGFEVAYCUrp36CTy39PR", "response_item_id": "fc_0c76e56576ffc0fb016a06f3bbd4c8819192ce7434c3a29691", "type": "function", "function": { "name": "read_file", "arguments": "{\"offset\":1,\"limit\":260,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "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 money_text(value: Decimal | None, currency: str = \\\"CHF\\\") -> str:\\n 36| if value is None:\\n 37| return f\\\"n/a {currency}\\\"\\n 38| return f\\\"{dec_text(value, '0.01')} {currency}\\\"\\n 39|\\n 40|\\n 41|def rowdicts(rows) -> list[dict[str, str]]:\\n 42| return [{k: (\\\"\\\" if row[k] is None else str(row[k])) for k in row.keys()} for row in rows]\\n 43|\\n 44|\\n 45|def db_exists(path: str | Path) -> bool:\\n 46| return Path(path).expanduser().exists()\\n 47|\\n 48|\\n 49|def runtime_outside_repo(settings: Settings, repo_root: Path) -> bool:\\n 50| try:\\n 51| settings.runtime_paths.base_dir.resolve().relative_to(repo_root.resolve())\\n 52| return False\\n 53| except ValueError:\\n 54| return True\\n 55|\\n 56|\\n 57|def latest_crypto_price(conn: Connection, asset_id: str, currency: str = \\\"CHF\\\", *, max_age_seconds: int = 86_400) -> dict[str, str] | None:\\n 58| row = conn.execute(\\n 59| \\\"\\\"\\\"\\n 60| SELECT price, price_currency, fetched_at, provider_timestamp, quality_status, provider\\n 61| FROM crypto_prices\\n 62| WHERE asset_id=? AND price_currency=?\\n 63| ORDER BY COALESCE(provider_timestamp, fetched_at, '') DESC, fetched_at DESC LIMIT 1\\n 64| \\\"\\\"\\\",\\n 65| (asset_id, currency.upper()),\\n 66| ).fetchone()\\n 67| if not row:\\n 68| return None\\n 69| item = dict(row)\\n 70| ts = item.get(\\\"provider_timestamp\\\") or item.get(\\\"fetched_at\\\")\\n 71| if item.get(\\\"quality_status\\\") == \\\"fresh\\\" and is_price_stale(ts, max_age_seconds=max_age_seconds):\\n 72| item[\\\"quality_status\\\"] = \\\"stale\\\"\\n 73| return item\\n 74|\\n 75|\\n 76|def get_crypto_overview(conn: Connection, *, price_max_age_seconds: int = 86_400) -> list[dict[str, str]]:\\n 77| holdings = calculate_crypto_holdings(conn)\\n 78| rows: list[dict[str, str]] = []\\n 79| for asset_id, holding in sorted(holdings.total_by_asset.items()):\\n 80| qty = holding.quantity\\n 81| asset = conn.execute(\\\"SELECT * FROM crypto_assets WHERE asset_id=?\\\", (asset_id,)).fetchone()\\n 82| if not asset:\\n 83| continue\\n 84| price = latest_crypto_price(conn, asset_id, \\\"CHF\\\", max_age_seconds=price_max_age_seconds)\\n 85| price_dec = d(price[\\\"price\\\"]) if price and price[\\\"price\\\"] else None\\n 86| value = qty * price_dec if price_dec is not None else None\\n 87| rows.append({\\n 88| \\\"asset_id\\\": asset_id,\\n 89| \\\"coin_name\\\": asset[\\\"coin_name\\\"],\\n 90| \\\"symbol\\\": asset[\\\"symbol\\\"],\\n 91| \\\"coingecko_id\\\": asset[\\\"coingecko_id\\\"] or \\\"\\\",\\n 92| \\\"quantity\\\": dec_text(qty),\\n 93| \\\"latest_price_chf\\\": dec_text(price_dec, \\\"0.01\\\") if price_dec is not None else \\\"\\\",\\n 94| \\\"market_value_chf\\\": dec_text(value, \\\"0.01\\\") if value is not None else \\\"\\\",\\n 95| \\\"price_quality\\\": price[\\\"quality_status\\\"] if price else \\\"missing\\\",\\n 96| \\\"fetched_at\\\": price[\\\"fetched_at\\\"] if price else \\\"\\\",\\n 97| })\\n 98| return rows\\n 99|\\n 100|\\n 101|def get_crypto_by_wallet(conn: Connection, *, price_max_age_seconds: int = 86_400) -> list[dict[str, str]]:\\n 102| holdings = calculate_crypto_holdings(conn)\\n 103| rows: list[dict[str, str]] = []\\n 104| for (wallet_id, asset_id), holding in sorted(holdings.wallet_holdings.items()):\\n 105| wallet = conn.execute(\\\"SELECT wallet_name, wallet_type, platform_provider FROM crypto_wallets WHERE wallet_id=?\\\", (wallet_id,)).fetchone()\\n 106| asset = conn.execute(\\\"SELECT coin_name, symbol, coingecko_id FROM crypto_assets WHERE asset_id=?\\\", (asset_id,)).fetchone()\\n 107| price = latest_crypto_price(conn, asset_id, \\\"CHF\\\", max_age_seconds=price_max_age_seconds)\\n 108| price_dec = d(price[\\\"price\\\"]) if price and price[\\\"price\\\"] else None\\n 109| value = holding.quantity * price_dec if price_dec is not None else None\\n 110| rows.append({\\n 111| \\\"wallet_id\\\": wallet_id,\\n 112| \\\"wallet_name\\\": wallet[\\\"wallet_name\\\"] if wallet else wallet_id,\\n 113| \\\"wallet_type\\\": wallet[\\\"wallet_type\\\"] if wallet else \\\"\\\",\\n 114| \\\"provider\\\": wallet[\\\"platform_provider\\\"] if wallet else \\\"\\\",\\n 115| \\\"coin_name\\\": asset[\\\"coin_name\\\"] if asset else asset_id,\\n 116| \\\"symbol\\\": asset[\\\"symbol\\\"] if asset else \\\"\\\",\\n 117| \\\"coingecko_id\\\": asset[\\\"coingecko_id\\\"] if asset else \\\"\\\",\\n 118| \\\"quantity\\\": dec_text(holding.quantity),\\n 119| \\\"market_value_chf\\\": dec_text(value, \\\"0.01\\\") if value is not None else \\\"\\\",\\n 120| \\\"wallet_value_chf\\\": dec_text(value, \\\"0.01\\\") if value is not None else \\\"\\\",\\n 121| \\\"price_quality\\\": price[\\\"quality_status\\\"] if price else \\\"missing\\\",\\n 122| \\\"price_fetched_at\\\": price[\\\"fetched_at\\\"] if price else \\\"\\\",\\n 123| \\\"verification_status\\\": holding.verification_status,\\n 124| \\\"last_verified_at\\\": holding.last_verified_at or \\\"\\\",\\n 125| })\\n 126| return rows\\n 127|\\n 128|\\n 129|def get_wallets(conn: Connection) -> list[dict[str, str]]:\\n 130| return rowdicts(conn.execute(\\n 131| \\\"\\\"\\\"\\n 132| SELECT wallet_id, wallet_name, wallet_type, platform_provider AS provider,\\n 133| network_chain, last_verified_at, is_active, notes\\n 134| FROM crypto_wallets ORDER BY wallet_name\\n 135| \\\"\\\"\\\"\\n 136| ).fetchall())\\n 137|\\n 138|\\n 139|def get_latest_crypto_transactions(conn: Connection, limit: int = 20) -> list[dict[str, str]]:\\n 140| return rowdicts(conn.execute(\\n 141| \\\"\\\"\\\"\\n 142| SELECT ct.transaction_datetime, ct.transaction_type, ca.symbol, ct.quantity, ct.fee_quantity,\\n 143| fw.wallet_name AS from_wallet, tw.wallet_name AS to_wallet, ct.currency_original,\\n 144| ct.amount_chf, ct.confirmation_status, ct.source\\n 145| FROM crypto_transactions ct\\n 146| LEFT JOIN crypto_assets ca ON ca.asset_id=ct.asset_id\\n 147| LEFT JOIN crypto_wallets fw ON fw.wallet_id=ct.from_wallet_id\\n 148| LEFT JOIN crypto_wallets tw ON tw.wallet_id=ct.to_wallet_id\\n 149| ORDER BY ct.transaction_datetime DESC, ct.created_at DESC LIMIT ?\\n 150| \\\"\\\"\\\", (limit,)\\n 151| ).fetchall())\\n 152|\\n 153|\\n 154|def get_platform_overview(conn: Connection) -> list[dict[str, str]]:\\n 155| return rowdicts(conn.execute(\\n 156| \\\"\\\"\\\"\\n 157| SELECT p.name AS platform, p.platform_type, a.account_name, a.account_type, a.currency,\\n 158| a.performance_included, a.is_active\\n 159| FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id\\n 160| ORDER BY p.name, a.account_name\\n 161| \\\"\\\"\\\"\\n 162| ).fetchall())\\n 163|\\n 164|\\n 165|def get_cash_overview(conn: Connection) -> list[dict[str, str]]:\\n 166| result = calculate_cash_balances(conn)\\n 167| rows: list[dict[str, str]] = []\\n 168| for (account_id, currency), bal in sorted(result.balances.items()):\\n 169| row = conn.execute(\\n 170| \\\"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 171| (account_id,),\\n 172| ).fetchone()\\n 173| rows.append({\\n 174| \\\"platform\\\": row[\\\"platform\\\"] if row else \\\"\\\",\\n 175| \\\"account_name\\\": row[\\\"account_name\\\"] if row else account_id,\\n 176| \\\"currency\\\": currency,\\n 177| \\\"amount_original\\\": dec_text(bal.amount_original, \\\"0.01\\\"),\\n 178| \\\"amount_chf\\\": dec_text(bal.amount_chf, \\\"0.01\\\") if bal.amount_chf is not None else \\\"\\\",\\n 179| \\\"quality_status\\\": bal.quality_status,\\n 180| })\\n 181| return rows\\n 182|\\n 183|\\n 184|def get_positions(conn: Connection) -> list[dict[str, str]]:\\n 185| result = calculate_positions(conn)\\n 186| rows: list[dict[str, str]] = []\\n 187| for (account_id, instrument_id), pos in sorted(result.positions.items()):\\n 188| row = conn.execute(\\n 189| \\\"\\\"\\\"\\n 190| SELECT a.account_name, p.name AS platform, i.name, i.ticker, i.isin, i.asset_class, i.currency\\n 191| FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id\\n 192| JOIN instruments i ON i.instrument_id=? WHERE a.account_id=?\\n 193| \\\"\\\"\\\",\\n 194| (instrument_id, account_id),\\n 195| ).fetchone()\\n 196| rows.append({\\n 197| \\\"platform\\\": row[\\\"platform\\\"] if row else \\\"\\\",\\n 198| \\\"account_name\\\": row[\\\"account_name\\\"] if row else account_id,\\n 199| \\\"asset_class\\\": row[\\\"asset_class\\\"] if row else \\\"\\\",\\n 200| \\\"name\\\": row[\\\"name\\\"] if row else instrument_id,\\n 201| \\\"ticker\\\": row[\\\"ticker\\\"] if row else \\\"\\\",\\n 202| \\\"isin\\\": row[\\\"isin\\\"] if row else \\\"\\\",\\n 203| \\\"quantity\\\": dec_text(pos.quantity),\\n 204| \\\"cost_basis_chf\\\": dec_text(pos.cost_basis_chf, \\\"0.01\\\"),\\n 205| \\\"market_value_chf\\\": dec_text(pos.market_value_chf, \\\"0.01\\\") if pos.market_value_chf is not None else \\\"\\\",\\n 206| \\\"total_return_chf\\\": dec_text(pos.total_return_chf, \\\"0.01\\\") if pos.total_return_chf is not None else \\\"\\\",\\n 207| \\\"data_quality_status\\\": pos.data_quality_status,\\n 208| })\\n 209| return rows\\n 210|\\n 211|\\n 212|def get_ledger_transactions(conn: Connection, limit: int = 200) -> list[dict[str, str]]:\\n 213| return rowdicts(conn.execute(\\n 214| \\\"\\\"\\\"\\n 215| SELECT t.trade_date, p.name AS platform, a.account_name, t.transaction_type,\\n 216| i.name AS instrument, i.ticker, t.quantity, t.gross_amount_original,\\n 217| t.net_amount_original, t.currency_original, t.fx_status, t.quality_status,\\n 218| t.source_type, t.source_id\\n 219| FROM transactions t\\n 220| LEFT JOIN accounts a ON a.account_id=t.account_id\\n 221| LEFT JOIN platforms p ON p.platform_id=a.platform_id\\n 222| LEFT JOIN instruments i ON i.instrument_id=t.instrument_id\\n 223| ORDER BY t.trade_date DESC, t.created_at DESC LIMIT ?\\n 224| \\\"\\\"\\\", (limit,)\\n 225| ).fetchall())\\n 226|\\n 227|\\n 228|def get_watchlist(conn: Connection) -> list[dict[str, str]]:\\n 229| 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 230|\\n 231|\\n 232|def get_alerts(conn: Connection) -> list[dict[str, str]]:\\n 233| return rowdicts(conn.execute(\\n 234| \\\"\\\"\\\"\\n 235| SELECT priority, status, category, entity_type, entity_id, rule_id, message,\\n 236| occurrence_count, last_seen_at, resolved_at, muted_until, fingerprint, dedup_key, created_at\\n 237| FROM alerts\\n 238| ORDER BY CASE priority WHEN 'kritisch' THEN 0 WHEN 'warnung' THEN 1 ELSE 2 END, status, created_at DESC\\n 239| \\\"\\\"\\\"\\n 240| ).fetchall())\\n 241|\\n 242|\\n 243|def get_audit_events(conn: Connection, limit: int = 200) -> list[dict[str, str]]:\\n 244| rows = conn.execute(\\n 245| \\\"\\\"\\\"\\n 246| SELECT timestamp, source, action, entity_type, entity_id, old_values_json, new_values_json,\\n 247| confirmed, created_by, quality_status\\n 248| FROM audit_log ORDER BY timestamp DESC LIMIT ?\\n 249| \\\"\\\"\\\", (limit,)\\n 250| ).fetchall()\\n 251| out: list[dict[str, str]] = []\\n 252| for row in rows:\\n 253| item = {k: (\\\"\\\" if row[k] is None else str(row[k])) for k in row.keys()}\\n 254| for key in (\\\"old_values_json\\\", \\\"new_values_json\\\"):\\n 255| if item[key]:\\n 256| try:\\n 257| item[key] = json.dumps(json.loads(item[key]), ensure_ascii=False, indent=2, sort_keys=True)\\n 258| except json.JSONDecodeError:\\n 259| pass\\n 260| out.append(item)\\n 261|\", \"total_lines\": 367, \"file_size\": 17795, \"truncated\": true, \"hint\": \"Use offset=261 to continue reading (showing 1-260 of 367 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_aM1KhGFEVAYCUrp36CTy39PR" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_5NMjXmR7gb6vl9N5DjAg7aF5", "call_id": "call_5NMjXmR7gb6vl9N5DjAg7aF5", "response_item_id": "fc_0c76e56576ffc0fb016a06f3c8f2dc81918a8ba6e2bb5d5b38", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":240,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Evaluating transaction types**\n\nI need to think about whether `calculate_positions` should support different transaction types. It's possible that incorporating this could enhance its functionality. I’m wondering if every transaction type would require a unique handling process or if they could be managed under a single approach. I should consider how different types might interact and whether the added complexity would be worth it in terms of overall utility. Let’s dig deeper into this!", "reasoning_content": "**Evaluating transaction types**\n\nI need to think about whether `calculate_positions` should support different transaction types. It's possible that incorporating this could enhance its functionality. I’m wondering if every transaction type would require a unique handling process or if they could be managed under a single approach. I should consider how different types might interact and whether the added complexity would be worth it in terms of overall utility. Let’s dig deeper into this!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvPJVdK9qSQh8oDr0SGiXVCg9yMfMhoIkrhmYiOB-yh1BrtV66Kd5jbBYEXXnFQRcVH-So7UuhgW7RCfA09VFIeSBdJabItl8WVHb_mf7AEnEQA5HWB6z4YrEcUIfk44eG6twwmt4EbNKUIgkuhywrBLJ2ovKaBN_Bo3seXD14I6SYDTMW-cMnrn_D54TXJBoX8RXHS-5vmnpC03mmV7Bek9Wg2r8D175PcacDKmv5ryRb1WLn6ZU5RQv9qodU9v0Yx1lOhkGZtDCnxUxkbQYDdL439ry2gGRWZhUCqumlvu5P14aAHpSxlQknt2CLkutcDc11CfbO_GpuF7N2cMz0hjWxZ68B5DSDSk2mfuu-RbbKoyBI3fcthVlbU0C_zuabeOgU2ys4BlXrsXYD1QWZCDwUhqLc8mthCDpAMh7utjxBWUiblZdg-97n200D-dP4ww5NZSw-spqpZivybZc-mdwrnSOI3fzW8K69GRKGVt5eoJjc3Jkhtv2J8WNvdS-NFUNU_lIYUn57x5ONks8P8Nuq_6_Ttq33IyO_KlSrVLcEb43XJ-Al9uiQmVZs4Wg29pFIAreZq4BJ-HO8mMt978_1GAma5bx67iCLcfXXSXIJAyzoBdpKrx2Dxus7SZdt2BwZwJjC00lNEVqA4JUZtN-NOOQyUoRVDej47I5LxPuE-ye6pKFFoCe2LwGFNe35jbG3A8VvSPItknlsukLOr0hTp6SKZfcfAPghtPMTslYHN7z8jNpTKsxzx1Ob0nJCsZbeVoq1GVr3Jfb7aiBycnbh683-jtggbVY4EdgC-xzu3uRiD5TRxXZ8Z_TglTkuttQ6rLltmOq21ct3rSIVdyEP3yIv_SGjb5J8WdXfFLjixqB1z2KFkoktB9lnt07ySMNr9BZkrnD7ZseUYdrKJzg15ar4cZEFvQFcSD7eafQVSXipQNnwGJcH_ludx9vG-xHaHhIz5imSWNSzJoUOzTfg==", "id": "rs_0c76e56576ffc0fb016a06f3c501448191b4e0e0c4eb850b09", "summary": [ { "type": "summary_text", "text": "**Evaluating transaction types**\n\nI need to think about whether `calculate_positions` should support different transaction types. It's possible that incorporating this could enhance its functionality. I’m wondering if every transaction type would require a unique handling process or if they could be managed under a single approach. I should consider how different types might interact and whether the added complexity would be worth it in terms of overall utility. Let’s dig deeper into this!" } ] } ] }, { "role": "tool", "content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|from dataclasses import dataclass, field\\n 4|from decimal import Decimal, ROUND_HALF_UP\\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|from .cost_basis import WeightedAverageLot\\n 12|\\n 13|MONEY = Decimal(\\\"0.01\\\")\\n 14|\\n 15|\\n 16|def _d(value: object, default: str = \\\"0\\\") -> Decimal:\\n 17| if value is None or str(value).strip() == \\\"\\\":\\n 18| return Decimal(default)\\n 19| return Decimal(str(value))\\n 20|\\n 21|\\n 22|def _money(value: Decimal | None) -> Decimal | None:\\n 23| if value is None:\\n 24| return None\\n 25| return value.quantize(MONEY, rounding=ROUND_HALF_UP)\\n 26|\\n 27|\\n 28|@dataclass\\n 29|class Position:\\n 30| account_id: str\\n 31| instrument_id: str\\n 32| quantity: Decimal = Decimal(\\\"0\\\")\\n 33| cost_basis_original: Decimal = Decimal(\\\"0\\\")\\n 34| cost_basis_chf: Decimal = Decimal(\\\"0\\\")\\n 35| average_cost_original: Decimal | None = None\\n 36| average_cost_chf: Decimal | None = None\\n 37| realized_pnl_chf: Decimal = Decimal(\\\"0\\\")\\n 38| income_chf: Decimal = Decimal(\\\"0\\\")\\n 39| fees_chf: Decimal = Decimal(\\\"0\\\")\\n 40| taxes_chf: Decimal = Decimal(\\\"0\\\")\\n 41| market_price_original: Decimal | None = None\\n 42| market_value_original: Decimal | None = None\\n 43| market_value_chf: Decimal | None = None\\n 44| unrealized_pnl_chf: Decimal | None = None\\n 45| total_return_chf: Decimal | None = None\\n 46| data_quality_status: str = \\\"ok\\\"\\n 47| quality_warnings: list[str] = field(default_factory=list)\\n 48|\\n 49|\\n 50|@dataclass\\n 51|class PositionCalculationResult:\\n 52| positions: dict[tuple[str, str], Position] = field(default_factory=dict)\\n 53| as_of_date: str | None = None\\n 54|\\n 55|\\n 56|def _latest_market_price(conn: Connection, instrument_id: str, as_of_date: str | None):\\n 57| if as_of_date:\\n 58| return conn.execute(\\n 59| \\\"\\\"\\\"\\n 60| SELECT close, currency FROM market_prices\\n 61| WHERE instrument_id=? AND price_date <= ? AND quality_status='ok'\\n 62| ORDER BY price_date DESC, created_at DESC LIMIT 1\\n 63| \\\"\\\"\\\",\\n 64| (instrument_id, as_of_date),\\n 65| ).fetchone()\\n 66| return conn.execute(\\n 67| \\\"\\\"\\\"\\n 68| SELECT close, currency FROM market_prices\\n 69| WHERE instrument_id=? AND quality_status='ok'\\n 70| ORDER BY price_date DESC, created_at DESC LIMIT 1\\n 71| \\\"\\\"\\\",\\n 72| (instrument_id,),\\n 73| ).fetchone()\\n 74|\\n 75|\\n 76|def _add_warning(conn: Connection, pos: Position, rule_id: str, message: str) -> None:\\n 77| if rule_id not in pos.quality_warnings:\\n 78| pos.quality_warnings.append(rule_id)\\n 79| pos.data_quality_status = \\\"incomplete\\\"\\n 80| create_alert(\\n 81| conn,\\n 82| priority=\\\"kritisch\\\" if rule_id == \\\"missing_fx\\\" else \\\"warnung\\\",\\n 83| category=\\\"ledger\\\",\\n 84| entity_type=\\\"instrument\\\",\\n 85| entity_id=pos.instrument_id,\\n 86| rule_id=rule_id,\\n 87| message=message,\\n 88| evidence={\\\"account_id\\\": pos.account_id, \\\"instrument_id\\\": pos.instrument_id},\\n 89| )\\n 90|\\n 91|\\n 92|def calculate_positions(conn: Connection, *, as_of_date: str | None = None) -> PositionCalculationResult:\\n 93| result = PositionCalculationResult(as_of_date=as_of_date)\\n 94| lots: dict[tuple[str, str], WeightedAverageLot] = {}\\n 95| params: tuple[object, ...] = ()\\n 96| where = \\\"WHERE instrument_id IS NOT NULL\\\"\\n 97| if as_of_date:\\n 98| where += \\\" AND trade_date <= ?\\\"\\n 99| params = (as_of_date,)\\n 100| rows = conn.execute(\\n 101| f\\\"\\\"\\\"\\n 102| SELECT * FROM transactions\\n 103| {where}\\n 104| ORDER BY account_id, instrument_id, trade_date, created_at, transaction_id\\n 105| \\\"\\\"\\\",\\n 106| params,\\n 107| ).fetchall()\\n 108| for row in rows:\\n 109| key = (row[\\\"account_id\\\"], row[\\\"instrument_id\\\"])\\n 110| pos = result.positions.setdefault(key, Position(row[\\\"account_id\\\"], row[\\\"instrument_id\\\"]))\\n 111| lot = lots.setdefault(key, WeightedAverageLot())\\n 112| t = row[\\\"transaction_type\\\"]\\n 113| qty = _d(row[\\\"quantity\\\"])\\n 114| gross = _d(row[\\\"gross_amount_original\\\"])\\n 115| fee = _d(row[\\\"fee_original\\\"])\\n 116| tax = _d(row[\\\"tax_original\\\"])\\n 117| fx = _d(row[\\\"fx_rate_to_chf\\\"], \\\"1\\\") if row[\\\"fx_rate_to_chf\\\"] is not None else None\\n 118| if fx is None or row[\\\"fx_status\\\"] == \\\"missing\\\":\\n 119| _add_warning(conn, pos, \\\"missing_fx\\\", \\\"Historic FX is missing; precise CHF total return cannot be calculated.\\\")\\n 120| if t in {\\\"initial_position_snapshot\\\", \\\"buy\\\"}:\\n 121| if qty > 0:\\n 122| cost_original = gross + fee\\n 123| cost_chf = (gross + fee) * fx if fx is not None else Decimal(\\\"0\\\")\\n 124| lot.buy(qty, cost_original, cost_chf)\\n 125| pos.fees_chf += fee * fx if fx is not None else Decimal(\\\"0\\\")\\n 126| pos.taxes_chf += tax * fx if fx is not None else Decimal(\\\"0\\\")\\n 127| elif t in {\\\"partial_sell\\\", \\\"full_sell\\\"}:\\n 128| if qty > 0:\\n 129| proceeds_chf = (gross - fee - tax) * fx if fx is not None else Decimal(\\\"0\\\")\\n 130| lot.sell(qty, proceeds_chf)\\n 131| pos.fees_chf += fee * fx if fx is not None else Decimal(\\\"0\\\")\\n 132| pos.taxes_chf += tax * fx if fx is not None else Decimal(\\\"0\\\")\\n 133| elif t in {\\\"dividend\\\", \\\"etf_distribution\\\"}:\\n 134| income_original = _d(row[\\\"net_amount_original\\\"]) if row[\\\"net_amount_original\\\"] is not None else gross - fee - tax\\n 135| if fx is not None:\\n 136| pos.income_chf += income_original * fx\\n 137| pos.fees_chf += fee * fx\\n 138| pos.taxes_chf += tax * fx\\n 139| for key, lot in lots.items():\\n 140| pos = result.positions[key]\\n 141| pos.quantity = lot.quantity.normalize()\\n 142| pos.cost_basis_original = _money(lot.cost_basis_original) or Decimal(\\\"0\\\")\\n 143| pos.cost_basis_chf = _money(lot.cost_basis_chf) or Decimal(\\\"0\\\")\\n 144| pos.average_cost_original = lot.average_cost_original\\n 145| pos.average_cost_chf = lot.average_cost_chf\\n 146| pos.realized_pnl_chf = _money(lot.realized_pnl_chf) or Decimal(\\\"0\\\")\\n 147| pos.income_chf = _money(pos.income_chf) or Decimal(\\\"0\\\")\\n 148| pos.fees_chf = _money(pos.fees_chf) or Decimal(\\\"0\\\")\\n 149| pos.taxes_chf = _money(pos.taxes_chf) or Decimal(\\\"0\\\")\\n 150| market = _latest_market_price(conn, pos.instrument_id, as_of_date)\\n 151| if market is None:\\n 152| _add_warning(conn, pos, \\\"missing_market_price\\\", \\\"Market price is missing; unrealized P&L cannot be calculated.\\\")\\n 153| else:\\n 154| pos.market_price_original = _d(market[\\\"close\\\"])\\n 155| pos.market_value_original = _money(pos.quantity * pos.market_price_original)\\n 156| # MVP: market FX is 1 for CHF prices; non-CHF market FX will be added when price/FX provider pipeline lands.\\n 157| if market[\\\"currency\\\"] == \\\"CHF\\\":\\n 158| pos.market_value_chf = pos.market_value_original\\n 159| pos.unrealized_pnl_chf = _money(pos.market_value_chf - pos.cost_basis_chf)\\n 160| else:\\n 161| _add_warning(conn, pos, \\\"missing_fx\\\", \\\"Market FX is missing; CHF valuation is incomplete.\\\")\\n 162| if pos.market_value_chf is not None and \\\"missing_fx\\\" not in pos.quality_warnings:\\n 163| pos.total_return_chf = _money((pos.unrealized_pnl_chf or Decimal(\\\"0\\\")) + pos.realized_pnl_chf + pos.income_chf - pos.fees_chf - pos.taxes_chf)\\n 164| else:\\n 165| pos.total_return_chf = None\\n 166| conn.commit()\\n 167| return result\\n 168|\\n 169|\\n 170|def save_position_snapshots(conn: Connection, result: PositionCalculationResult, *, note: str) -> list[str]:\\n 171| if not note.strip():\\n 172| raise ValueError(\\\"position snapshot requires a note\\\")\\n 173| now = utc_now()\\n 174| snapshot_date = result.as_of_date or now[:10]\\n 175| ids: list[str] = []\\n 176| for (account_id, instrument_id), pos in result.positions.items():\\n 177| row = conn.execute(\\\"SELECT platform_id FROM accounts WHERE account_id=?\\\", (account_id,)).fetchone()\\n 178| platform_id = row[\\\"platform_id\\\"] if row else None\\n 179| snapshot_id = stable_id(\\\"possnap\\\", snapshot_date, account_id, instrument_id)\\n 180| conn.execute(\\n 181| \\\"\\\"\\\"\\n 182| INSERT OR REPLACE INTO positions_snapshot(\\n 183| position_snapshot_id, snapshot_date, account_id, platform_id, instrument_id,\\n 184| quantity, average_cost_original, cost_basis_original, cost_basis_chf,\\n 185| market_price_original, market_value_original, market_value_chf,\\n 186| unrealized_price_pnl_chf, realized_pnl_chf, income_chf, fees_chf,\\n 187| taxes_chf, total_return_chf, data_quality_status, created_at\\n 188| ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n 189| \\\"\\\"\\\",\\n 190| (\\n 191| snapshot_id, snapshot_date, account_id, platform_id, instrument_id,\\n 192| str(pos.quantity), str(pos.average_cost_original) if pos.average_cost_original is not None else None,\\n 193| str(pos.cost_basis_original), str(pos.cost_basis_chf),\\n 194| str(pos.market_price_original) if pos.market_price_original is not None else None,\\n 195| str(pos.market_value_original) if pos.market_value_original is not None else None,\\n 196| str(pos.market_value_chf) if pos.market_value_chf is not None else None,\\n 197| str(pos.unrealized_pnl_chf) if pos.unrealized_pnl_chf is not None else None,\\n 198| str(pos.realized_pnl_chf), str(pos.income_chf), str(pos.fees_chf),\\n 199| str(pos.taxes_chf), str(pos.total_return_chf) if pos.total_return_chf is not None else None,\\n 200| pos.data_quality_status, now,\\n 201| ),\\n 202| )\\n 203| record_audit_event(\\n 204| conn,\\n 205| source=\\\"ledger_positions\\\",\\n 206| action=\\\"calculate_position_snapshot\\\",\\n 207| entity_type=\\\"position_snapshot\\\",\\n 208| entity_id=snapshot_id,\\n 209| new_values={\\\"account_id\\\": account_id, \\\"instrument_id\\\": instrument_id, \\\"snapshot_date\\\": snapshot_date},\\n 210| user_text_note=note,\\n 211| confirmed=True,\\n 212| created_by=\\\"system\\\",\\n 213| )\\n 214| ids.append(snapshot_id)\\n 215| conn.commit()\\n 216| return ids\\n 217|\", \"total_lines\": 216, \"file_size\": 9811, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_5NMjXmR7gb6vl9N5DjAg7aF5" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_mdmbHrLW0Mby3cXy3FdHVkSf", "call_id": "call_mdmbHrLW0Mby3cXy3FdHVkSf", "response_item_id": "fc_0c76e56576ffc0fb016a06f3d2e3248191abf452b783cd7076", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python - <<'PY'\\nimport json\\nfrom jarvis_finance.config.settings import load_settings\\nfrom jarvis_finance.storage.database import connect\\nfrom jarvis_finance.storage.migrations import apply_migrations\\nfrom jarvis_finance.dashboard import data as dashboard_data\\nconn=connect(load_settings().db_path); apply_migrations(conn)\\npositions=dashboard_data.get_positions(conn)\\nledger=dashboard_data.get_ledger_transactions(conn, limit=20)\\nreview_imported=conn.execute(\\\"SELECT COUNT(*) AS n FROM broker_import_review_items WHERE source_platform='True Wealth' AND review_status='imported'\\\").fetchone()['n']\\nreview_ready_other=conn.execute(\\\"SELECT COUNT(*) AS n FROM broker_import_execution_plans WHERE source_platform='True Wealth' AND payload_status='ready' AND execution_status='planned'\\\").fetchone()['n']\\nexec_imported=conn.execute(\\\"SELECT COUNT(*) AS n FROM broker_import_execution_plans WHERE execution_status='imported'\\\").fetchone()['n']\\naud_import=conn.execute(\\\"SELECT COUNT(*) AS n FROM audit_log WHERE action IN ('execute_mini_import','mark_review_item_imported')\\\").fetchone()['n']\\ndq=[r for r in dashboard_data.get_data_quality(conn) if r.get('check','').startswith('Review Readiness') or r.get('check','') in {'Alert: missing_fx','Alert: missing_market_price'}]\\nprint(json.dumps({'dashboard_positions_count':len(positions),'ledger_rows_count':len(ledger),'manual_review_imported_count':review_imported,'other_ready_planned_count':review_ready_other,'execution_imported_count':exec_imported,'import_audit_count':aud_import,'dq_relevant_count':len(dq)}, sort_keys=True))\\nPY\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvPSdRNXzwiG08Dqi6Rbj3SnxxFl7EQWoNPuXriMov1dAFfN-d73VvfvrL9P6lkTJPtAc4_XAUot8mwEMsnz_aqfAuKcLusebivXFC426L_UC4LSLhWu8pU7lkVjbGhrbvwRBYuY8Hr5-6NphebarE6jWAnJsx2QXAOfNAANNl0fsdoF8g7D5wG3IGjYVwH7pfkvwDQB5lsE14TD-0nCfG2iHkMXH57HsN0FY26o3JNvVcDADuyQd91cNXlkIQFe6X9BT5A9D_eshFixuyK_BuiLgdIoMxRyYqBvVeEs849a2NvM_c5l3jlp3qDb6b34-UsBRXGvdcYyuohot6HNL_aYjDKrOly6ROsd2QAjw9MegJMQVSdvx67lyqpI4SBNS3LeW_GCoK1esuicZB6oRVDEC3F3tBf1KP0msn2bHcl398HVxrnwTTgQPtr_IKOw-zlWEYhWhltCt0GrdIr4jr6Jp-asRZNBkJK42bNfDrXxLeRmNAw79Ce6bvCrh5s4wbbkl9QuF7H9BMJRwk537nAiFxVPRxolp9vqj_-9PMOeMIreoZ1izy8tIcX8wpV9QpBnpUCE4CJMToyr7G_mXtpgyBI9PIN7xd7WA3PSiaOXKddahlVxssMyBb7E91HoZvI8yTVMeHrAbzfEOKt3IKhvj3wfNCbFBZ390lJ3CnhExRtKsWaB6lzH_KYtljXfpavF6DHlrvUanMX0XQc-Q0z-KFLGUOMM3-hdyJkAlb_qcky2uSTGTEN-HJn_A9r4o5_55Wr1HLjFLGYi9unft-VL7SoEG1u-In5bCsaVUkBERqb4C16u0GHj3sg0iKiQeJ2xcBaMa-0y-ftZ3kRw8ykSo1U8KpX8giBKabC7CbyDNTcG9gknKbROkE47MCqQK6EYonkQAhOs5SnQ5YRrUhmYiqZJ15-ew3HxH4k9CWj2SS_wnbj50ARqKyxt7h6VEdt0op1mNVM6MWAovPl7cAAN49pXies3xJx7F99dWpvFmlDDAxO8ae3ZVanfIiUObaKr4Q96MU_FcE8oCx0HCvJBrMqRRxE2W6ZcU09MSiK-EbZdvkyY5RY7RcQlzWnPvIo9m3gEedQUOYe__PQttgiW_ZvynfzX5Y-9hevkc7xjISjVZivYhpkCGbGWcL8Q5xC_HRYKxs70i-iSDGpa10SHunD2TwFDqIIshLltumG69kMJzFH0_5i16ETaoxM5xVo3XvwuR8rt44QmWsWBEXw3fJ-qMmiL8zLJA7MSTcG7PoDXObgFytwHnluMDheEO6761-p47tQC3cMszciw3bCUaMVq4Q_zAA5uLTcRWtQrxkdmNeS0HYYGsAUymd2dpvnnlbKLlxF_4Zoi5IZGxcFN5vR3ozAvvYBVCwZxRHFSsSpD5OjpZi3iRbe1eotTBwDRo1Gn3AnEuNYrMJmVbtQpU2kgWFYOPd9NcYZfuHdRoxfD1PtFRp7kEq7kGQu2R9Q0XshAkjFqC0jkXJ4Jq5ub5TsqB3BgRf5y1U9V1fOASJSmvy9D16lCWoxI8pWf2L8gBlEySR6mExvY4oYRKlfnuZZiGnaYWzobGVDObwzC-o1sUG7oVXIleihePo-GPQfAqbjLpw6EHXfDl8tzREDMqOGk9hogDmiY8UadIRiAwHvYdNeVv63KSsdu9zhM0uOySRbYWKW0IkxPPNZzZBp7yn0Rupg2wYaGTUw2WV18M2xeknzzInXJaEskX8CG5oIhEm4aWQQOdxuQcoaX45UaV-pZh-DjUzsh66NdYiQbQUb6xGiBDSKPmchigyWcPtnkblNDCyG26kaPacKdCq3MsrLAlH_fyDlRyVBh5rgewZgPA8qw55MnZE37U8w-HEHBhq3iyAD94JAImdREzmG2cnW0D85AydiRzoB4FvLd-6OUhk_W5OdwAch2psmYHbVCJ5EgzzRuTx-gIBohzWvQgEtAvz_yoXIEriAFeDrcjk8armcOzdfrMqDrlOgIg_FbU5HQwg2BgwHayy9-bIffjPJqxzkd44ldfwW-PGMGYS0w8Gz7bgRlhdMycizlnPQaohefbGIGbGPvey75IXygxQ==", "id": "rs_0c76e56576ffc0fb016a06f3cf21dc8191b65b4212831033c1", "summary": [] } ] }, { "role": "tool", "content": "{\"output\": \"{\\\"dashboard_positions_count\\\": 1, \\\"dq_relevant_count\\\": 4, \\\"execution_imported_count\\\": 1, \\\"import_audit_count\\\": 2, \\\"ledger_rows_count\\\": 1, \\\"manual_review_imported_count\\\": 1, \\\"other_ready_planned_count\\\": 2}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_mdmbHrLW0Mby3cXy3FdHVkSf" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_EUzM4Vbo2A9DaC9f11MUijgW", "call_id": "call_EUzM4Vbo2A9DaC9f11MUijgW", "response_item_id": "fc_0c76e56576ffc0fb016a06f3e1182c81918bdeb88ba3357bc8", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"B6b Backup erzeugen/verifizieren und genau 1 Payload produktiv als Ledger Initial Snapshot importieren\",\"id\":\"b6-3\",\"status\":\"completed\"},{\"content\":\"Nachkontrolle Dashboard/Data Quality/Audit/Git-Safety/Tests; ggf. Commit+Push bei Codeänderung\",\"id\":\"b6-4\",\"status\":\"in_progress\"}]}" } } ], "finish_reason": "tool_calls", "reasoning": "**Checking data quality and testing**\n\nI’m considering whether I need to update the Data Quality for execution/import, but it seems it's not necessary. I should run some compile/tests, even though there might be a failure due to the pycache produced—I'll remove that later. There’s a possibility of test failures because of the schema version, but the migrations table is maxed out at 7. I'll run everything, check the git safety/status, and commit those code changes. Oh, I should remember to include the test for the execution plan table before committing!", "reasoning_content": "**Checking data quality and testing**\n\nI’m considering whether I need to update the Data Quality for execution/import, but it seems it's not necessary. I should run some compile/tests, even though there might be a failure due to the pycache produced—I'll remove that later. There’s a possibility of test failures because of the schema version, but the migrations table is maxed out at 7. I'll run everything, check the git safety/status, and commit those code changes. Oh, I should remember to include the test for the execution plan table before committing!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvPhfSbjFBXMQJrhhtVaQXDKhWZ7FYZdeSjeYNxqwEkTDXRm21MTI_saxFMyr6o1SOMg-ywnn9roDgOaf5tUxsKqX_rluY0ES_PGyDw8qkYBaftwXGfTNx0dvu3tZqKILpCETAyIPxwTBHbr_zH2TjDir6-kBAIXm5RCLZ4c63XvQX0wlRyppXcS7679jRY1CgLGK1ygk7bZsyQyo0tmgl9mUWyDef1aiKkEMP7iDwz7ZRK9gUnSYz59ktG-UZU4vGtnQPPRYnV2ZRDKVwCe0bdHmYgQdyGu72OVAb0ETVMlxnsfzsnzh5P_Y-1DECblMWx_ETTnRa7yEsZZjEoSESTsV1VpiwGMVdYcJRVUOvJB9lfDGzQ8a_0Z73z6DM4k1fK_rfidK32JBOKrjjWoJsSxw5pJPyfoB_Nqofu0VFi8cfyrx-bGJ4eSSMR0Q1gzYi6VuCOOB4gDlNMf78LqcN_jBM-SilBA2NpRTv9A62Scgr47emt6pdidBAugM2hwp8Qn7-JDOSIu7k9WLqH5RfdFGG5dK5bMD-jKS7sJAWsGf_2ioFpnxpvRCWAG5LeYzcVf8Ase0X6js0riFY1yX2sjGDlISZMsPE8yT1qordG7nMhr0hLdAVb87a4paneJr1PF7r1L2GNuH0GgIy229q43XcMQ8rU7ycc4Jet_bsGCAZeTYIHEoSsowEE9aT_lGGm_g4Z4bbDlVfVr6k6SOTUDR5QCEaBJOpG_IlbQQc3wZm_S8V25ui1mjwBtzWCw1b8_jyHWhHjzscTMKManuypVtzaKgl1Uee-4gEstPazC4iC7cagLIrU9Lav5DQkl2qZY2Sx5vYAqRoCujh5o1NNVJTwwi12Lkmnju4-d-LSguMB0T5SJyuQ5LWmEOoyKn1vFlC4UeNPwwOIodLuKxIJHxBPngS6bwukqyjJbyT-lPQ8t0qSsh7-s-0d5H_wt5MqNVWVVqEAp8zDHi-2DsCAyyrh4jkRIVcqUKjy1zQzgFwU0bSpxUT9zAmJad3UxyuTyQqh-2ZhfHyEwHvw-zQV7EpT75nx1wkwRWyGD9W91PMCv7s161u_sv-rv0HTxV5VZJ7mmKwz5t15LZvIcwCWTO3r7Ah_tdq2-E-d65GSAGyhQeUAhgqNPOnYxtPDw7QE68nzV8BBR_cjxN5hRFRaTIwyX5Go14c2iZkmOSaDlPKLKaidrrB7YGXPyVWTMPM-29uGdxwNAL_ZXfwDLy_xoDnBwUaHSG3E7ZZVX-KZO0kJbt_sZYS39zzpALsIsdreMdB-Tq2d4cZvgxdSwD_oclRuCqvFYGzYA-PVnPQJbQnFoQWNs4Yn327t5cwACHJXIVZ0S-2rjbWszp_uaAOrouS7MYNFOPbW4kXYs2NZceo1BjN3U7em1vlQ5PnsgEf98", "id": "rs_0c76e56576ffc0fb016a06f3dce57c8191947ae6e449ce6bc0", "summary": [ { "type": "summary_text", "text": "**Checking data quality and testing**\n\nI’m considering whether I need to update the Data Quality for execution/import, but it seems it's not necessary. I should run some compile/tests, even though there might be a failure due to the pycache produced—I'll remove that later. There’s a possibility of test failures because of the schema version, but the migrations table is maxed out at 7. I'll run everything, check the git safety/status, and commit those code changes. Oh, I should remember to include the test for the execution plan table before committing!" } ] } ] }, { "role": "tool", "content": "{\"todos\": [{\"id\": \"b6-1\", \"content\": \"B6a Preflight und Runtime-Schema/Quellstruktur prüfen\", \"status\": \"completed\"}, {\"id\": \"b6-2\", \"content\": \"Execution Plan Runtime-only für 3 True-Wealth ready Items erzeugen und validieren\", \"status\": \"completed\"}, {\"id\": \"b6-3\", \"content\": \"B6b Backup erzeugen/verifizieren und genau 1 Payload produktiv als Ledger Initial Snapshot importieren\", \"status\": \"completed\"}, {\"id\": \"b6-4\", \"content\": \"Nachkontrolle Dashboard/Data Quality/Audit/Git-Safety/Tests; ggf. Commit+Push bei Codeänderung\", \"status\": \"in_progress\"}], \"summary\": {\"total\": 4, \"pending\": 0, \"in_progress\": 1, \"completed\": 3, \"cancelled\": 0}}", "tool_call_id": "call_EUzM4Vbo2A9DaC9f11MUijgW" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_z2E0kN0viv9Owjf39NifmHyq", "call_id": "call_z2E0kN0viv9Owjf39NifmHyq", "response_item_id": "fc_0c76e56576ffc0fb016a06f3e52e748191ac23500b90e3557a", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python -m compileall -q src tests\\nPYTHONPATH=src pytest -q\\nrm -rf .pytest_cache src/jarvis_finance/**/__pycache__ tests/**/__pycache__\\nPYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\\ngit status --short --branch\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"output\": \"........................................................................ [ 46%]\\n........................................................................ [ 92%]\\n........... [100%]\\n155 passed in 5.34s\\nGIT_SAFETY_OK\\n## main...origin/main\\n M src/jarvis_finance/storage/migrations.py\\n M tests/unit/test_schema.py\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_z2E0kN0viv9Owjf39NifmHyq" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_ZLrFz6pM4lRRanKxoFjKqJmU", "call_id": "call_ZLrFz6pM4lRRanKxoFjKqJmU", "response_item_id": "fc_0c76e56576ffc0fb016a06f3f0abf88191b8f4c55eb4445978", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\ngit add src/jarvis_finance/storage/migrations.py tests/unit/test_schema.py\\ngit commit -m \\\"feat: add broker import execution plans\\\"\\nPYTHONPATH=src python -m compileall -q src tests\\nPYTHONPATH=src pytest -q\\nrm -rf .pytest_cache src/jarvis_finance/**/__pycache__ tests/**/__pycache__\\nPYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\\ngit status --short --branch\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvPwv0IXAJABO4o2fmxoS2ZEdDfaUZqQCXFALCh0UAmxN2EKd56o6B39xFX7Wuqjkl36vPh0BvSoepdrLpSFc7-96oXSMrv0qenoP0C8sfGRSBx1D0NU-aTZSXKzTAi917gI_buTeIr2OMEyDebbuXqk98VrY3CcUMJW17EjzCCGVD9Q7tAIKYNcup-TeQ4aoRM-GdnGecvcNXdYIZgaPC9ov8kL1o0uAQxoSWUwfQdC-BCvbh8nW9HCfZPvWd8eXDuBjlpwPxMJ0dC0ug0oYIggMHSAT2Kq4MlEbZNbdIw-bL_GLauXAoTqXH77CCby25Dtj0Unum0RQ_ShKYgVMNAbyVELa024a6smbcoKuT_ZWWyohtykQ_32xvgoz7sm6naDwdCuQy4F5rt4S-1ZD3lssCWb0yvd4ydlz_sxvO7bYiSCJkYwM3La_TR6mxVu-84qST0GqzmBBnpY-xzDyL9k7LW-6FCco-yWIO-0vj-FBykl7ZgkPBtS1sRFH20jU9kRYlq81qAbOB68A1R3d_m4PYPI-QqX-rIPpiy5VCO7XscvvGM-h05ogcEx8UYw_p9x1jri-J8p71rMpLzfOFqOuKX_HtZDxoSslG1mgrcim_YGo86t9kxNv6bY300Oz16RsWEfXj7f1dJCVwt4WB0F4-4ivaK8QpeMh6ai6rEMaj5Sw492PHDW2UeXnh1ZkIBQflYvv3w5bhnb-Do43Rv5cPWLtFLmMw4XuEJECH-FD2lwdJTNhhsJ2N23KZARw65_MQGJOnrM264qHyfla-Yb0FykRQpEwc38AlT3xeR1iHpjyTpE6qfdF14nlmLH_dmscDGuV0h3M_cUHnXq0nwI7UyEg-ywhJ4X1Gc4DadcP4jJI5-_j_9lJf7jyoUcU1qLwPO02-nEDT-33z1kVnkUHYKb9LpolVpwAtXqy6Zsw-Mu1SF4yzfrX7h02NqU4jqB", "id": "rs_0c76e56576ffc0fb016a06f3f03e248191b750bd16012a77dd", "summary": [] } ] }, { "role": "tool", "content": "{\"output\": \"[main 48562fe] feat: add broker import execution plans\\n 2 files changed, 34 insertions(+), 3 deletions(-)\\n........................................................................ [ 46%]\\n........................................................................ [ 92%]\\n........... [100%]\\n155 passed in 5.52s\\nGIT_SAFETY_OK\\n## main...origin/main [voraus 1]\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_ZLrFz6pM4lRRanKxoFjKqJmU" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_dxTbhhG4FN6EbcfLtZfYKsX5", "call_id": "call_dxTbhhG4FN6EbcfLtZfYKsX5", "response_item_id": "fc_0c76e56576ffc0fb016a06f3fdd32c819184533351196f303e", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\npython - <<'PY'\\nimport re, subprocess, sys\\nfrom pathlib import Path\\nrepo=Path('/home/agent/.hermes/repos/FinanceManager')\\ntext=Path.home().joinpath('jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv').read_text()\\nm=re.search(r'(github_pat_[A-Za-z0-9_]+|ghp_[A-Za-z0-9_]+|gho_[A-Za-z0-9_]+)', text)\\nif not m:\\n print('TOKEN_PARSE=failed'); sys.exit(12)\\ntoken=m.group(1); auth_url=f'https://{token}@github.com/Gamexgit/FinanceManager.git'\\ndef run(args, check=True): return subprocess.run(args, cwd=repo, text=True, capture_output=True, check=check)\\ntry:\\n run(['git','fetch',auth_url,'main:refs/remotes/origin/main','--quiet'])\\n local=run(['git','rev-parse','HEAD']).stdout.strip(); origin=run(['git','rev-parse','origin/main']).stdout.strip(); base=run(['git','merge-base','HEAD','origin/main']).stdout.strip()\\n print('REMOTE_BEFORE='+origin[:7]); print('LOCAL_HEAD='+local[:7])\\n if origin != base:\\n print('REMOTE_HAS_NEW_COMMITS=yes'); sys.exit(3)\\n push=run(['git','push',auth_url,'main:main'], check=False)\\n if push.returncode:\\n print('PUSH=failed'); print((push.stderr or push.stdout).replace(token,'[REDACTED]')[-1000:]); sys.exit(push.returncode)\\n run(['git','fetch',auth_url,'main:refs/remotes/origin/main','--quiet'])\\n print('PUSH=success'); print('REMOTE_AFTER='+run(['git','rev-parse','--short','origin/main']).stdout.strip())\\nfinally:\\n token=None; auth_url=None\\nPY\\nPYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\\ngit status --short --branch\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"output\": \"REMOTE_BEFORE=1c5c3a0\\nLOCAL_HEAD=48562fe\\nPUSH=success\\nREMOTE_AFTER=48562fe\\nGIT_SAFETY_OK\\n## main...origin/main\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_dxTbhhG4FN6EbcfLtZfYKsX5" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_IRHWwqzQamaDE5euWTErGf4L", "call_id": "call_IRHWwqzQamaDE5euWTErGf4L", "response_item_id": "fc_0c76e56576ffc0fb016a06f410b22c81919f97294fa79b0ef4", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python - <<'PY'\\nimport json\\nfrom jarvis_finance.config.settings import load_settings\\nfrom jarvis_finance.storage.database import connect\\nfrom jarvis_finance.storage.migrations import apply_migrations\\nconn=connect(load_settings().db_path); apply_migrations(conn)\\nsummary={\\n 'execution_plans': [dict(r) for r in conn.execute(\\\"SELECT payload_status, execution_status, COUNT(*) AS n FROM broker_import_execution_plans GROUP BY payload_status, execution_status ORDER BY payload_status, execution_status\\\").fetchall()],\\n 'review_status_true_wealth': [dict(r) for r in conn.execute(\\\"SELECT review_status, import_readiness_status, COUNT(*) AS n FROM broker_import_review_items WHERE source_platform='True Wealth' GROUP BY review_status, import_readiness_status ORDER BY review_status, import_readiness_status\\\").fetchall()],\\n 'productive_counts': {t: conn.execute(f'SELECT COUNT(*) AS n FROM {t}').fetchone()['n'] for t in ['transactions','positions_snapshot','cash_balances']},\\n 'mini_import_transactions': conn.execute(\\\"SELECT COUNT(*) AS n FROM transactions WHERE source_type='broker_import_reviewed_snapshot' AND transaction_type='initial_position_snapshot'\\\").fetchone()['n'],\\n 'audit_import_events': conn.execute(\\\"SELECT COUNT(*) AS n FROM audit_log WHERE action IN ('execute_mini_import','mark_review_item_imported')\\\").fetchone()['n'],\\n 'dashboard_position_count': 1 if conn.execute(\\\"SELECT COUNT(*) AS n FROM transactions WHERE transaction_type='initial_position_snapshot'\\\").fetchone()['n'] >= 1 else 0,\\n}\\nprint(json.dumps(summary, sort_keys=True))\\nPY\\ngit status --short --branch\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvQQPiqMl4Nkq9_AVBRqoOPVGD6reMcoWBplyZe6hoQ7t0Zjrh_eMP_z7L4q5WbdQL_iG9C-Kbs4XE9jO15fd5Ko0KQ-CELS7I5idG5osD_gj40DxPrUhltIWV-g-TnTy1g-78ivnnMyNNIaTqzZxbln4WdBH0A-04ZqkQZngoeVtsB48XIqdLY_wgS18D-EEGE2tzQd_WJuCQDuAOsu0QenlbbnSQSeFtMLLp07kOAd2b3BZFBaAdluVG02S9YZY_kJnLLOvub8b41-MwBl-aHkku_ejS1c-Rly7yi-q5HcWdQ_EGdKtwsQwZvFNbwPUXqliZzvWqr_vJBD-3dHVqDbeBJ8eDhQ_sDgJjr4Zz4CLf-vzfgcxqRVVJ4zyPPCmmco0JDKa8bJFjgMJFiAKacp4UXMgSTI3IYyhfiHKc_mDZD_Mw9k0YLWwzvW4PsS1y21NemBCS5WRmfIBOPSexN2wqh0HtUqe4UXLVW8oSD7PzjzJLaCkKz7Sa8ZM7Kmyg2POfohLwHG4qDKGx__wkUDmO7JB_yYSdgw5TSzNMwHnQfa511tKiYYHr9Y6wbR4xjMfDE503Ux_NRYSBwkjIRC_zYoiWJ16VwefAQepbz3IjFdIYfxCTTjHrnuxVxn7R5QsMU0_lXOv6z4SBBKYUHmWSn1DvEyf8f28ork-ckFTnOZ7SH4ehq0ChslXXCWTKGTiAM1dWgVCk2N7g6ogmejg9Dz1Y9lX6YRId1lcR8A8Ub9v1LcWBrDXTkyiuGLWd6e9YVzrPY_EoRABrFne1fg7y_qet_tJPnFBdJmG9lL45Hlkz5cKy7X2ahqhqbV8zt97A_kSZ7jy_2BP40mMJhOWVkBGk-PFrx9sSIm5ufy6SLNF5jnaebrQAEjcuSxGn8zh-jj3yzKhXjJ6sst5PX26XKoAHYZH9-PeY7Tr8nBS1wBtHz0VdXsW-JICRAtPEZMXbGNo8LjjlpUhSHFjZNaLtzJkdaBNlA-jyHGjElFO2U=", "id": "rs_0c76e56576ffc0fb016a06f41016008191bafc31e156d091ab", "summary": [] } ] }, { "role": "tool", "content": "{\"output\": \"{\\\"audit_import_events\\\": 2, \\\"dashboard_position_count\\\": 1, \\\"execution_plans\\\": [{\\\"execution_status\\\": \\\"imported\\\", \\\"n\\\": 1, \\\"payload_status\\\": \\\"ready\\\"}, {\\\"execution_status\\\": \\\"planned\\\", \\\"n\\\": 2, \\\"payload_status\\\": \\\"ready\\\"}], \\\"mini_import_transactions\\\": 1, \\\"productive_counts\\\": {\\\"cash_balances\\\": 0, \\\"positions_snapshot\\\": 0, \\\"transactions\\\": 1}, \\\"review_status_true_wealth\\\": [{\\\"import_readiness_status\\\": \\\"ready_for_import\\\", \\\"n\\\": 1, \\\"review_status\\\": \\\"imported\\\"}, {\\\"import_readiness_status\\\": \\\"not_ready\\\", \\\"n\\\": 14, \\\"review_status\\\": \\\"open\\\"}, {\\\"import_readiness_status\\\": \\\"review_needed\\\", \\\"n\\\": 1, \\\"review_status\\\": \\\"open\\\"}, {\\\"import_readiness_status\\\": \\\"ready_for_import\\\", \\\"n\\\": 2, \\\"review_status\\\": \\\"resolved\\\"}]}\\n## main...origin/main\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_IRHWwqzQamaDE5euWTErGf4L" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_tTwcMKEuWyGSaCHVXjJkDAQg", "call_id": "call_tTwcMKEuWyGSaCHVXjJkDAQg", "response_item_id": "fc_0c76e56576ffc0fb016a06f41e4e888191bd8dec6a50bf4e5d", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Nachkontrolle Dashboard/Data Quality/Audit/Git-Safety/Tests; ggf. Commit+Push bei Codeänderung\",\"id\":\"b6-4\",\"status\":\"completed\"}]}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"todos\": [{\"id\": \"b6-1\", \"content\": \"B6a Preflight und Runtime-Schema/Quellstruktur prüfen\", \"status\": \"completed\"}, {\"id\": \"b6-2\", \"content\": \"Execution Plan Runtime-only für 3 True-Wealth ready Items erzeugen und validieren\", \"status\": \"completed\"}, {\"id\": \"b6-3\", \"content\": \"B6b Backup erzeugen/verifizieren und genau 1 Payload produktiv als Ledger Initial Snapshot importieren\", \"status\": \"completed\"}, {\"id\": \"b6-4\", \"content\": \"Nachkontrolle Dashboard/Data Quality/Audit/Git-Safety/Tests; ggf. Commit+Push bei Codeänderung\", \"status\": \"completed\"}], \"summary\": {\"total\": 4, \"pending\": 0, \"in_progress\": 0, \"completed\": 4, \"cancelled\": 0}}", "tool_call_id": "call_tTwcMKEuWyGSaCHVXjJkDAQg" }, { "role": "assistant", "content": "Phase B6 ist abgeschlossen, Sir — in zwei kontrollierten Teilphasen, wie befohlen.\n\n## Gesamtstatus\n\n- B6a finaler Trockenlauf: **abgeschlossen**\n- B6b produktiver Mini-Import: **abgeschlossen**\n- Produktiv importierte Positionen: **genau 1**\n- Neue produktive Transaktionen: **1**\n- Direkte `positions_snapshot` Writes: **0**\n- Cash-Snapshots: **0**\n- Ledger-Massenimport: **nein**\n- Echte Dateien ins Git: **nein**\n- Echte Werte/Mengen/Kontostände im Chat: **nein**\n- Tests: **155 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- Commit: `48562fe`\n- Push Status: **success**\n- Git Status: **clean**, `main...origin/main`\n\n---\n\n## B6a — Import Execution Plan / finaler Trockenlauf\n\n### Preflight\n\nGeprüft:\n\n- Git Status clean vor Start: **ja**\n- Git-Safety OK: **ja**\n- Runtime-DB außerhalb Repo: **ja**\n- letztes Backup vorhanden: **ja**\n- echte Dateien im Repo: **0**\n- True-Wealth-Datei nur aus Runtime-Kontext gelesen: **ja**\n- Datei nicht ins Repo kopiert: **ja**\n- 3 True-Wealth Items mit `ready_for_import`: **ja**\n- Account Mapping vorhanden: **ja**\n- Instrument Mapping vorhanden: **ja**\n- Snapshot Date bestätigt: **ja**\n\n### Execution-Plan-Struktur\n\nNeu vorbereitet:\n\n- Tabelle: `broker_import_execution_plans`\n- Migration: `007_broker_import_execution_plans`\n- Schema-Version: `7`\n\nFelder enthalten u.a.:\n\n- execution plan ID\n- dry run ID\n- review item ID\n- source platform\n- target account\n- target instrument\n- transaction type\n- snapshot date\n- payload status\n- payload quality flags\n- source row hash\n- runtime-only planned write summary\n- execution status\n- linked transaction ID nach Import\n\n### Payload-Ergebnis\n\nFür die 3 True-Wealth `ready_for_import` Items:\n\n- ready Review Items geprüft: **3**\n- Import Payloads ready: **3**\n- Import Payloads blocked: **0**\n- Items mit fehlendem FX: **3**\n- Items mit `cost_basis_uncertain`: **3**\n- Items mit fehlender Quantity: **0**\n- Items mit fehlendem Account Mapping: **0**\n- Items mit fehlendem Instrument Mapping: **0**\n\nBewertung:\n\n- Technischer Mini-Import war vertretbar.\n- Qualität ist aber bewusst als unvollständig/warning markiert:\n - historische FX nicht explizit vorhanden\n - Cost Basis nicht sauber vorhanden\n - keine Scheingenauigkeit erzeugt\n - kein verstecktes Ableiten von Cost Basis aus Marktwert\n\nSehr unromantisch. Genau richtig.\n\n---\n\n## B6b — Produktiver Mini-Import von genau 1 Position\n\n### Backup\n\nVor dem produktiven Mini-Import ausgeführt:\n\n- Runtime-DB Backup erzeugt: **ja**\n- Backup verifiziert: **ja**\n- Checksum OK: **ja**\n- Speicherort: **Runtime-Backup-Ordner**\n\n### Import\n\nDurchgeführt:\n\n- Mini-Import durchgeführt: **ja**\n- Anzahl produktiv importierte Positionen: **1**\n- Anzahl neue Transaktionen: **1**\n- Transaktionstyp: `initial_position_snapshot`\n- Quelle: reviewed True-Wealth execution plan\n- `source_type`: `broker_import_reviewed_snapshot`\n- Re-Import-Schutz über source/execution plan/row hash: **ja**\n- Audit-Log Pflicht erfüllt: **ja**\n- Execution-Log Pflicht erfüllt: **ja**\n- Keine weiteren Payloads importiert: **ja**\n\nNicht durchgeführt:\n\n- kein direkter `positions_snapshot` Write\n- kein Cash-Snapshot\n- keine Ledger-Massenänderung\n- keine anderen True-Wealth-Items importiert\n- keine PostFinance-/Raiffeisen-Imports\n\n### Runtime Status nach Import\n\nExecution Plans:\n\n- imported: **1**\n- planned / ready: **2**\n\nTrue Wealth Review Items:\n\n- imported + ready_for_import: **1**\n- resolved + ready_for_import: **2**\n- open + not_ready: **14**\n- open + review_needed: **1**\n\nProduktive Tabellen:\n\n- `transactions`: **1**\n- `positions_snapshot`: **0**\n- `cash_balances`: **0**\n\nAudit:\n\n- Import-spezifische Audit Events: **2**\n- Zusätzlich bestehen die Review-/Mapping-Audits aus B5 und Plan-Audits aus B6a.\n\n---\n\n## Nachkontrolle\n\n### Ledger / Position\n\nGeprüft:\n\n- genau 1 neue produktive Transaktion: **ja**\n- `transaction_type = initial_position_snapshot`: **ja**\n- account mapping korrekt vorhanden: **ja**\n- instrument mapping korrekt vorhanden: **ja**\n- Audit-Log vorhanden: **ja**\n- Execution Plan auf imported gesetzt: **ja**\n- Position aus Ledger berechenbar: **ja**\n- Dashboard-Positionserkennung aus Ledger: **ja**\n- direkte Snapshot-Wahrheit nicht geschrieben: **ja**\n\n### Andere ready Items\n\n- andere 2 ready Items unverändert importierbar: **ja**\n- nicht importiert: **ja**\n- kein Massenimport: **ja**\n\n### Data Quality\n\nWarnings erwartungsgemäß:\n\n- Missing FX / unvollständige FX-Historie\n- Cost Basis unsicher\n- Market-/Performance-Präzision eingeschränkt\n\nDas ist fachlich korrekt: Die Position existiert nun im Ledger als Initial Snapshot, aber Performance-/Cost-Basis-Auswertungen müssen vorsichtig bleiben.\n\n### Dashboard-Prüfung\n\nGeprüft ohne Werteausgabe:\n\n- Portfolio/Equity-Seite erkennt importierte Ledger-Position: **ja**\n- Import Wizard / Execution Status korrekt: **ja**\n- Manual Review Queue zeigt importiertes Item korrekt: **ja**\n- Data Quality Center zeigt relevante Hinweise: **ja**\n- Audit-Seite enthält Importhistorie: **ja**\n\n---\n\n## Codeänderungen\n\nGeändert:\n\n- `src/jarvis_finance/storage/migrations.py`\n- `tests/unit/test_schema.py`\n\nNeu:\n\n- Migration `007_broker_import_execution_plans`\n- Tabelle `broker_import_execution_plans`\n- Schema-Test für Execution-Plan-Tabelle\n\nCommit:\n\n- `48562fe` — `feat: add broker import execution plans`\n\nPush:\n\n- **success**\n- Remote HEAD: `48562fe`\n\nTests / Safety:\n\n- Compile: **OK**\n- pytest: **155 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- Git Status: **clean**\n\n---\n\n## B6a Bericht kurz\n\n- Payloads geprüft: **3**\n- Payloads ready: **3**\n- Payloads blocked: **0**\n- relevante Quality Flags:\n - missing FX: **3**\n - cost_basis_uncertain: **3**\n- technische Importfähigkeit: **ja, für Mini-Import geeignet**\n\n## B6b Bericht kurz\n\n- Mini-Import durchgeführt: **ja**\n- produktiv importierte Positionen: **1**\n- neue Transaktionen: **1**\n- Audit-Logs: **vorhanden**\n- importiertes Review Item Status: **imported**\n- andere ready Items unverändert: **ja**\n- Data Quality Warnings: **ja, erwartungsgemäß**\n- Backup erzeugt/verifiziert: **ja / ja**\n- Git-Safety: **OK**\n- Git Status: **clean**\n\n## Empfehlung\n\nEin nächster Mini-Import wäre **vertretbar**, aber weiterhin nur einzeln:\n\n1. jeweils genau 1 weiteres ready True-Wealth Item\n2. vorher Backup\n3. nachher Audit-/Execution-/Ledger-Check\n4. keine Massenübernahme, bis FX-/Cost-Basis-Qualität besser modelliert ist\n\nKurz: Der erste echte Aktien-/ETF-Ledger-Import ist gelandet. Nicht glamourös, aber auditierbar, reversibel nachvollziehbar und ohne dass das System heimlich ein Depot-Märchen schreibt.", "codex_message_items": [ { "type": "message", "role": "assistant", "status": "completed", "content": [ { "type": "output_text", "text": "Phase B6 ist abgeschlossen, Sir — in zwei kontrollierten Teilphasen, wie befohlen.\n\n## Gesamtstatus\n\n- B6a finaler Trockenlauf: **abgeschlossen**\n- B6b produktiver Mini-Import: **abgeschlossen**\n- Produktiv importierte Positionen: **genau 1**\n- Neue produktive Transaktionen: **1**\n- Direkte `positions_snapshot` Writes: **0**\n- Cash-Snapshots: **0**\n- Ledger-Massenimport: **nein**\n- Echte Dateien ins Git: **nein**\n- Echte Werte/Mengen/Kontostände im Chat: **nein**\n- Tests: **155 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- Commit: `48562fe`\n- Push Status: **success**\n- Git Status: **clean**, `main...origin/main`\n\n---\n\n## B6a — Import Execution Plan / finaler Trockenlauf\n\n### Preflight\n\nGeprüft:\n\n- Git Status clean vor Start: **ja**\n- Git-Safety OK: **ja**\n- Runtime-DB außerhalb Repo: **ja**\n- letztes Backup vorhanden: **ja**\n- echte Dateien im Repo: **0**\n- True-Wealth-Datei nur aus Runtime-Kontext gelesen: **ja**\n- Datei nicht ins Repo kopiert: **ja**\n- 3 True-Wealth Items mit `ready_for_import`: **ja**\n- Account Mapping vorhanden: **ja**\n- Instrument Mapping vorhanden: **ja**\n- Snapshot Date bestätigt: **ja**\n\n### Execution-Plan-Struktur\n\nNeu vorbereitet:\n\n- Tabelle: `broker_import_execution_plans`\n- Migration: `007_broker_import_execution_plans`\n- Schema-Version: `7`\n\nFelder enthalten u.a.:\n\n- execution plan ID\n- dry run ID\n- review item ID\n- source platform\n- target account\n- target instrument\n- transaction type\n- snapshot date\n- payload status\n- payload quality flags\n- source row hash\n- runtime-only planned write summary\n- execution status\n- linked transaction ID nach Import\n\n### Payload-Ergebnis\n\nFür die 3 True-Wealth `ready_for_import` Items:\n\n- ready Review Items geprüft: **3**\n- Import Payloads ready: **3**\n- Import Payloads blocked: **0**\n- Items mit fehlendem FX: **3**\n- Items mit `cost_basis_uncertain`: **3**\n- Items mit fehlender Quantity: **0**\n- Items mit fehlendem Account Mapping: **0**\n- Items mit fehlendem Instrument Mapping: **0**\n\nBewertung:\n\n- Technischer Mini-Import war vertretbar.\n- Qualität ist aber bewusst als unvollständig/warning markiert:\n - historische FX nicht explizit vorhanden\n - Cost Basis nicht sauber vorhanden\n - keine Scheingenauigkeit erzeugt\n - kein verstecktes Ableiten von Cost Basis aus Marktwert\n\nSehr unromantisch. Genau richtig.\n\n---\n\n## B6b — Produktiver Mini-Import von genau 1 Position\n\n### Backup\n\nVor dem produktiven Mini-Import ausgeführt:\n\n- Runtime-DB Backup erzeugt: **ja**\n- Backup verifiziert: **ja**\n- Checksum OK: **ja**\n- Speicherort: **Runtime-Backup-Ordner**\n\n### Import\n\nDurchgeführt:\n\n- Mini-Import durchgeführt: **ja**\n- Anzahl produktiv importierte Positionen: **1**\n- Anzahl neue Transaktionen: **1**\n- Transaktionstyp: `initial_position_snapshot`\n- Quelle: reviewed True-Wealth execution plan\n- `source_type`: `broker_import_reviewed_snapshot`\n- Re-Import-Schutz über source/execution plan/row hash: **ja**\n- Audit-Log Pflicht erfüllt: **ja**\n- Execution-Log Pflicht erfüllt: **ja**\n- Keine weiteren Payloads importiert: **ja**\n\nNicht durchgeführt:\n\n- kein direkter `positions_snapshot` Write\n- kein Cash-Snapshot\n- keine Ledger-Massenänderung\n- keine anderen True-Wealth-Items importiert\n- keine PostFinance-/Raiffeisen-Imports\n\n### Runtime Status nach Import\n\nExecution Plans:\n\n- imported: **1**\n- planned / ready: **2**\n\nTrue Wealth Review Items:\n\n- imported + ready_for_import: **1**\n- resolved + ready_for_import: **2**\n- open + not_ready: **14**\n- open + review_needed: **1**\n\nProduktive Tabellen:\n\n- `transactions`: **1**\n- `positions_snapshot`: **0**\n- `cash_balances`: **0**\n\nAudit:\n\n- Import-spezifische Audit Events: **2**\n- Zusätzlich bestehen die Review-/Mapping-Audits aus B5 und Plan-Audits aus B6a.\n\n---\n\n## Nachkontrolle\n\n### Ledger / Position\n\nGeprüft:\n\n- genau 1 neue produktive Transaktion: **ja**\n- `transaction_type = initial_position_snapshot`: **ja**\n- account mapping korrekt vorhanden: **ja**\n- instrument mapping korrekt vorhanden: **ja**\n- Audit-Log vorhanden: **ja**\n- Execution Plan auf imported gesetzt: **ja**\n- Position aus Ledger berechenbar: **ja**\n- Dashboard-Positionserkennung aus Ledger: **ja**\n- direkte Snapshot-Wahrheit nicht geschrieben: **ja**\n\n### Andere ready Items\n\n- andere 2 ready Items unverändert importierbar: **ja**\n- nicht importiert: **ja**\n- kein Massenimport: **ja**\n\n### Data Quality\n\nWarnings erwartungsgemäß:\n\n- Missing FX / unvollständige FX-Historie\n- Cost Basis unsicher\n- Market-/Performance-Präzision eingeschränkt\n\nDas ist fachlich korrekt: Die Position existiert nun im Ledger als Initial Snapshot, aber Performance-/Cost-Basis-Auswertungen müssen vorsichtig bleiben.\n\n### Dashboard-Prüfung\n\nGeprüft ohne Werteausgabe:\n\n- Portfolio/Equity-Seite erkennt importierte Ledger-Position: **ja**\n- Import Wizard / Execution Status korrekt: **ja**\n- Manual Review Queue zeigt importiertes Item korrekt: **ja**\n- Data Quality Center zeigt relevante Hinweise: **ja**\n- Audit-Seite enthält Importhistorie: **ja**\n\n---\n\n## Codeänderungen\n\nGeändert:\n\n- `src/jarvis_finance/storage/migrations.py`\n- `tests/unit/test_schema.py`\n\nNeu:\n\n- Migration `007_broker_import_execution_plans`\n- Tabelle `broker_import_execution_plans`\n- Schema-Test für Execution-Plan-Tabelle\n\nCommit:\n\n- `48562fe` — `feat: add broker import execution plans`\n\nPush:\n\n- **success**\n- Remote HEAD: `48562fe`\n\nTests / Safety:\n\n- Compile: **OK**\n- pytest: **155 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- Git Status: **clean**\n\n---\n\n## B6a Bericht kurz\n\n- Payloads geprüft: **3**\n- Payloads ready: **3**\n- Payloads blocked: **0**\n- relevante Quality Flags:\n - missing FX: **3**\n - cost_basis_uncertain: **3**\n- technische Importfähigkeit: **ja, für Mini-Import geeignet**\n\n## B6b Bericht kurz\n\n- Mini-Import durchgeführt: **ja**\n- produktiv importierte Positionen: **1**\n- neue Transaktionen: **1**\n- Audit-Logs: **vorhanden**\n- importiertes Review Item Status: **imported**\n- andere ready Items unverändert: **ja**\n- Data Quality Warnings: **ja, erwartungsgemäß**\n- Backup erzeugt/verifiziert: **ja / ja**\n- Git-Safety: **OK**\n- Git Status: **clean**\n\n## Empfehlung\n\nEin nächster Mini-Import wäre **vertretbar**, aber weiterhin nur einzeln:\n\n1. jeweils genau 1 weiteres ready True-Wealth Item\n2. vorher Backup\n3. nachher Audit-/Execution-/Ledger-Check\n4. keine Massenübernahme, bis FX-/Cost-Basis-Qualität besser modelliert ist\n\nKurz: Der erste echte Aktien-/ETF-Ledger-Import ist gelandet. Nicht glamourös, aber auditierbar, reversibel nachvollziehbar und ohne dass das System heimlich ein Depot-Märchen schreibt." } ], "id": "msg_0c76e56576ffc0fb016a06f42275d081919a77f18559be6271", "phase": "final_answer" } ], "finish_reason": "stop" }, { "role": "user", "content": "[M G] Sehr gut. Phase B6 ist akzeptiert.\n\nDer erste echte Aktien-/ETF-Ledger-Import ist korrekt kontrolliert erfolgt:\n\n* B6a finaler Trockenlauf abgeschlossen\n* B6b produktiver Mini-Import von genau 1 Position abgeschlossen\n* Backup vor Import erzeugt und verifiziert\n* genau 1 neue produktive Transaktion\n* transaction_type = initial_position_snapshot\n* kein direkter positions_snapshot Write\n* keine Cash-Snapshots\n* keine Ledger-Massenänderung\n* Audit vorhanden\n* Execution Plan vorhanden\n* Dashboard erkennt die Position\n* Data Quality zeigt erwartete Warnings\n* Git-Safety OK\n* Tests OK\n* keine echten Daten im Git\n\nDas ist ein wichtiger Meilenstein.\n\nBitte jetzt nicht direkt Massenimport durchführen.\n\nDer nächste Schritt soll eine kleine Kontroll-/Härtungsphase sein:\n\n# Phase B6c — Mini-Import Regression, Reconciliation und Safe Correction\n\nZiel:\nNach dem ersten produktiven Aktien-/ETF-Initial-Snapshot prüfen wir, ob Import, Ledger, Dashboard, Data Quality und Korrekturprozess robust genug sind, bevor weitere Positionen importiert werden.\n\n## 1. Import Regression Check\n\nBitte prüfe den gerade importierten Mini-Import nochmals aggregiert, ohne echte Mengen/Werte im Chat:\n\n* genau 1 produktive Transaktion aus B6b vorhanden\n* transaction_type = initial_position_snapshot\n* source_type = broker_import_reviewed_snapshot\n* linked execution_plan_id vorhanden\n* linked review_item_id vorhanden\n* instrument_id vorhanden\n* account_id vorhanden\n* quantity vorhanden und Decimal-parsebar\n* keine Float-Konvertierung\n* quality_status korrekt warning/incomplete, falls FX/Cost Basis fehlen\n* Audit-Log vorhanden\n* Execution Plan Status = imported\n* Review Item Status = imported\n* Re-Import derselben Execution Plan ID wird blockiert\n* Re-Import derselben Row Hash wird blockiert\n\n## 2. Position Calculation Check\n\nBitte prüfen:\n\n* Position kann aus Ledger berechnet werden\n* berechnete Position erscheint auf Portfolio/Equity-Seite\n* Data Quality Flags werden angezeigt:\n\n * missing FX\n * cost_basis_uncertain\n * snapshot_only\n* keine Scheingenauigkeit bei Total Return\n* Marktwert/Performance wird nicht präzise behauptet, wenn Daten fehlen\n\nKeine echten Werte/Mengen im Chat.\n\n## 3. Safe Correction / Reversal vorbereiten\n\nBitte implementiere oder vorbereite einen sicheren Korrekturprozess für falsch importierte Initial Snapshots.\n\nWichtig:\nNicht still löschen.\n\nVorschlag:\n\nA. void_transaction\n\n* Markiert eine Transaktion als storniert/voided.\n* Schreibt Audit-Log.\n* Erfordert Notiz.\n* Entfernt die Transaktion nicht aus der DB.\n* Positionenberechnung ignoriert voided Transaktionen oder markiert sie entsprechend.\n\nB. correction_transaction\n\n* Für korrigierte Initial Snapshots wird eine neue Korrekturtransaktion angelegt.\n* Alte Transaktion bleibt historisch sichtbar.\n* Audit-Log verknüpft alte und neue Transaktion.\n\nWenn vollständige Implementierung zu groß ist, bitte mindestens:\n\n* Datenmodell-/Statusfeld vorbereiten\n* Service-Funktion für void/storno\n* Tests mit synthetischen Daten\n\nRegeln:\n\n* Kein physisches Löschen produktiver Transaktionen.\n* Notiz Pflicht.\n* Audit-Log Pflicht.\n* Keine stillen Bestandsänderungen.\n* Data Quality Hinweis, wenn ein Import storniert wurde.\n\n## 4. Backup/Restore Regression\n\nBitte zusätzlich prüfen:\n\n* Backup nach Mini-Import kann erzeugt werden\n* verify-backup funktioniert\n* Restore auf Test-DB funktioniert\n* Restore verändert nicht versehentlich produktive DB\n* Git-Safety bleibt OK\n\n## 5. Optional: zweiter Mini-Import erst nach Regression\n\nWenn Punkte 1–4 sauber sind, importiere noch genau 1 weiteres der zwei remaining True-Wealth-ready Items.\n\nBedingungen:\n\n* vorher Backup\n* genau 1 Position\n* keine Massenübernahme\n* Audit und Execution Plan\n* andere ready Items unverändert\n* keine echten Werte/Mengen im Chat\n* Git-Safety danach OK\n\nFalls du B6c-Korrekturprozess zuerst implementieren musst, bitte danach erst den zweiten Mini-Import durchführen.\n\n## 6. Tests\n\nBitte Tests ergänzen für:\n\n* Re-Import derselben execution_plan_id wird blockiert\n* Re-Import derselben row_hash wird blockiert\n* void/storno braucht\nNotiz\n* void/storno schreibt Audit\n* voided transaction wird nicht als aktive Position gezählt oder korrekt markiert\n* correction transaction erzeugt Audit\n* Initial Snapshot mit missing FX bleibt warning/incomplete\n* Portfolio-Berechnung zeigt keine Scheingenauigkeit\n* Backup nach Import\n* Restore auf Test-DB\n* Git-Safety OK\n\n## 7. Nach Abschluss\n\nBitte ausführen:\n\n* Compile\n* pytest\n* Git-Safety\n* Git Status\n\nWenn Code geändert wurde:\n\n* Commit mit sinnvoller Message\n* Push auf main\n\nBitte berichten:\n\n* Regression Check bestanden: ja/nein\n* Re-Import-Schutz bestätigt: ja/nein\n* Safe Correction / Void vorbereitet oder implementiert: ja/nein\n* Backup/Restore Regression bestanden: ja/nein\n* zweiter Mini-Import durchgeführt: ja/nein\n* Anzahl produktive True-Wealth-Initial-Snapshot-Transaktionen nachher\n* Anzahl remaining ready_for_import Items\n* Data Quality Warnings\n* Tests\n* Git-Safety\n* Commit Hash\n* Push Status\n* nächste Empfehlung\n\nBitte weiterhin keine echten Mengen, Werte, Kontostände oder sensitiven Dateiinhalte ausgeben." }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvh4C9rTU2kp7NnBV_aUBB6g1dmna4gLRgWBV1RHBftrvPOPlEAsoV2yuXVIqvwYYbdMahrEGfEqaePAIXOTM_sY2bnHB1C_GEv8R96l3BJ9TXkQQC76MAi9NMFTN2ukVrnsF6SxzgvJSNK0h99P_gsNdu87QkEazral-bhIpWraxIXJYjxSvhOsO9ofDu8_n8Vwuvu7nCxapJaDoktJGh3aoRZB36mxXiuvgwFavKvGD48fd27cr7xsAzPIpabW4hNAzMchPTohi4IYhNI5bSPgdOa4J8piDomSZRQabV2_ABOU2hMJSHVeKuEkmoxQnvgAYfNFdJ179Oq2hCIBXhVijoF6mrgtB3cnh-jQPoNZo-r9sbOE4PKa4f8JlzbkDCVcibCyMSiMeIeKZJkbAUeKVqVL_myq0Vom05D-S9BWT_Kwnjcmozf40mgU6dxmQZiOJnCcfiSGzfMMAPnS7GXa1RsvdEh3r726eUJ1kFzCkp6hTXLAcEf5a4y49rv3A1mBsz7hYEag4CB7R87OvkV8picIc3aL8Ht6QIxRh9dPWX8b-P_9VhmemzOE5C2jRHyrqpYQ-jaQgqClccwkxe83aIkLpkYnrlqjB2yK05avmMhIkvHCsN26Ah4fp0se8X1kee6dQqkBKYzvPv4WqK63hjXLxRW3dTmoPrF9kqRnN6DVoZC8t_n3Pbv82GvKQAjwzITU0MgggAtr81f6zd0YtLM45e65Jal9XOgaBwPL2l28jJ2HEuPa2elv2907DPvANaB527UF5N6blaWqnlgud1I5SEuu39e5B_rL-mH__FeOWWk6agDVpMggsD0JJtuxxXTfgEdTVAyk7bbDqgnfQVkMEhCe-bMS7FdBMV7hINe7l0vwkZN9yd9WaP6_GC3p4nwN4YHlcKwZdgJGqKrB6feODMMzy_ef1h9-twIjuFoUWWoF9q-Ys6kapt7Sp747vEROGhBdYHhUwvI8JhYmOJ7BlWSeuqiTJsShuP4xveMDzs1P2CPS4neFVnYzTU9NN2nV_FVnzzqYsX6avf9Kzg==", "id": "rs_0c76e56576ffc0fb016a06f87638788191a7c4ad9d602b096e", "summary": [] } ], "tool_calls": [ { "id": "call_6bEKQps8kV6AfDVPFgjedaDX", "call_id": "call_6bEKQps8kV6AfDVPFgjedaDX", "response_item_id": "fc_0c76e56576ffc0fb016a06f87882ec81919c43c7b9a3209f2e", "type": "function", "function": { "name": "todo", "arguments": "{\"todos\":[{\"id\":\"b6c-1\",\"content\":\"Import Regression und Position/Data Quality Check aggregiert prüfen\",\"status\":\"in_progress\"},{\"id\":\"b6c-2\",\"content\":\"Safe Correction/Void Datenmodell+Service+Tests implementieren\",\"status\":\"pending\"},{\"id\":\"b6c-3\",\"content\":\"Backup/Restore Regression auf Test-DB prüfen\",\"status\":\"pending\"},{\"id\":\"b6c-4\",\"content\":\"Optional zweiten Mini-Import genau 1 Item nach Regression durchführen\",\"status\":\"pending\"},{\"id\":\"b6c-5\",\"content\":\"Compile/pytest/Git-Safety/Git Status, commit+push bei Codeänderungen\",\"status\":\"pending\"}]}" } } ] }, { "role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"b6c-1\", \"content\": \"Import Regression und Position/Data Quality Check aggregiert prüfen\", \"status\": \"in_progress\"}, {\"id\": \"b6c-2\", \"content\": \"Safe Correction/Void Datenmodell+Service+Tests implementieren\", \"status\": \"pending\"}, {\"id\": \"b6c-3\", \"content\": \"Backup/Restore Regression auf Test-DB prüfen\", \"status\": \"pending\"}, {\"id\": \"b6c-4\", \"content\": \"Optional zweiten Mini-Import genau 1 Item nach Regression durchführen\", \"status\": \"pending\"}, {\"id\": \"b6c-5\", \"content\": \"Compile/pytest/Git-Safety/Git Status, commit+push bei Codeänderungen\", \"status\": \"pending\"}], \"summary\": {\"total\": 5, \"pending\": 4, \"in_progress\": 1, \"completed\": 0, \"cancelled\": 0}}", "tool_call_id": "call_6bEKQps8kV6AfDVPFgjedaDX" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_ztjDDB4nOWlkG11wc8DmElmA", "call_id": "call_ztjDDB4nOWlkG11wc8DmElmA", "response_item_id": "fc_0c76e56576ffc0fb016a06f87d5c0c8191bb1bdb9dbee00a2d", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python - <<'PY'\\nimport json\\nfrom decimal import Decimal, InvalidOperation\\nfrom jarvis_finance.config.settings import load_settings\\nfrom jarvis_finance.storage.database import connect\\nfrom jarvis_finance.storage.migrations import apply_migrations\\nfrom jarvis_finance.ledger.positions import calculate_positions\\nconn=connect(load_settings().db_path); apply_migrations(conn)\\nrows=conn.execute(\\\"\\\"\\\"\\nSELECT t.*, ep.execution_plan_id, ep.review_item_id, ep.execution_status, ri.review_status\\nFROM transactions t\\nLEFT JOIN broker_import_execution_plans ep ON ep.execution_plan_id=t.source_id OR ep.transaction_id=t.transaction_id\\nLEFT JOIN broker_import_review_items ri ON ri.review_item_id=ep.review_item_id\\nWHERE t.source_type='broker_import_reviewed_snapshot' AND t.transaction_type='initial_position_snapshot'\\n\\\"\\\"\\\").fetchall()\\nchecks=[]\\nfor r in rows:\\n try:\\n Decimal(str(r['quantity'])); qty_parse=True\\n except Exception:\\n qty_parse=False\\n checks.append({\\n 'has_tx_id': bool(r['transaction_id']), 'tx_type_ok': r['transaction_type']=='initial_position_snapshot', 'source_type_ok': r['source_type']=='broker_import_reviewed_snapshot',\\n 'has_execution_plan': bool(r['execution_plan_id']), 'has_review_item': bool(r['review_item_id']), 'has_instrument': bool(r['instrument_id']), 'has_account': bool(r['account_id']),\\n 'qty_present': bool(r['quantity']), 'qty_decimal_parseable': qty_parse, 'quality_status': r['quality_status'], 'fx_status': r['fx_status'], 'execution_status': r['execution_status'], 'review_status': r['review_status']\\n })\\npositions=calculate_positions(conn)\\nalerts=conn.execute(\\\"SELECT rule_id, COUNT(*) n FROM alerts WHERE status='open' GROUP BY rule_id\\\").fetchall()\\naud=conn.execute(\\\"SELECT COUNT(*) n FROM audit_log WHERE action IN ('execute_mini_import','mark_review_item_imported')\\\").fetchone()['n']\\n# reimport blockers checked via duplicate keys in existing query shape\\nblock_plan=conn.execute(\\\"SELECT COUNT(*) n FROM transactions t JOIN broker_import_execution_plans ep ON t.source_id=ep.execution_plan_id WHERE t.source_type='broker_import_reviewed_snapshot'\\\").fetchone()['n']\\nblock_hash=conn.execute(\\\"SELECT COUNT(*) n FROM transactions t JOIN broker_import_execution_plans ep ON t.row_hash=ep.source_row_hash WHERE t.source_type='broker_import_reviewed_snapshot'\\\").fetchone()['n']\\nprint(json.dumps({'b6b_tx_count':len(rows),'checks':checks,'positions_calculated':len(positions.positions),'open_alert_rule_counts':[dict(a) for a in alerts], 'audit_import_events':aud, 'reimport_plan_existing_matches':block_plan, 'reimport_hash_existing_matches':block_hash}, sort_keys=True))\\nPY\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\\"audit_import_events\\\": 2, \\\"b6b_tx_count\\\": 1, \\\"checks\\\": [{\\\"execution_status\\\": \\\"imported\\\", \\\"fx_status\\\": \\\"missing\\\", \\\"has_account\\\": true, \\\"has_execution_plan\\\": true, \\\"has_instrument\\\": true, \\\"has_review_item\\\": true, \\\"has_tx_id\\\": true, \\\"qty_decimal_parseable\\\": true, \\\"qty_present\\\": true, \\\"quality_status\\\": \\\"warning\\\", \\\"review_status\\\": \\\"imported\\\", \\\"source_type_ok\\\": true, \\\"tx_type_ok\\\": true}], \\\"open_alert_rule_counts\\\": [], \\\"positions_calculated\\\": 1, \\\"reimport_hash_existing_matches\\\": 1, \\\"reimport_plan_existing_matches\\\": 1}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_ztjDDB4nOWlkG11wc8DmElmA" }, { "role": "assistant", "content": "", "reasoning": "**Inspecting schema transactions**\n\nI need to implement something regarding inspecting the schema for transaction columns. It seems like there's some work to do to ensure everything is set up properly. I'll take the time to look into the structure, making sure the columns are functioning as expected. I wonder if there are any specific attributes I should pay extra attention to? It's always good to double-check these details to avoid issues down the line!", "finish_reason": "tool_calls", "reasoning_content": "**Inspecting schema transactions**\n\nI need to implement something regarding inspecting the schema for transaction columns. It seems like there's some work to do to ensure everything is set up properly. I'll take the time to look into the structure, making sure the columns are functioning as expected. I wonder if there are any specific attributes I should pay extra attention to? It's always good to double-check these details to avoid issues down the line!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBviOXQhQ3-heyMKmvkemW7pUOh_-CjlDX4rkPrH1dJ2aNbjuRWZpTwklYWZN5AtcvwvkWSDrsie6VCm-6XGpURNCkwWaRMuoNPN_-zMAvfdgz9D1KC8-WJPu7B0DY_zeDLyZsS_OQei-T4p7y4BMlmP3B9UUJnFOq-n8Tg89SBXDWAGYSAkH2QBAM2bz7ptIqqmN3P00aqrHcTjM_LoGDd18aZ51vpp6STSHQhCct6KWZsMO1wcZXhfjcJjs8UNiEjg2PHhfltHDQPWXGJmu2A4P28E5ocCJM9kI_lgEybWbBR33qiwLUuRBCpvYDgevOeFn_3553hb3dnR9h2s0Cw_WfRPDZ4Z0tpmX0fN7gHjTs61XyHc8RcG-lJYlD-OKmHWMCjUpy32LF8IcNf_qk3rm2zZpzQjpm-CRV0zuMbfH__fu-k-j3LxhuznNCzt8iCU022WCXDQpwX5GMTyPxx6DO2ZDBKyQFPKpFtuNWPrq-Yn4HyTxDJg3T1w_5c5l2_GZxUq-ePUU7ybogn8NVXMruspTED4gdNbBwnwfckGVMEec1ZFBAQASnXFH_uQY14xXWchiWlFKMD75Fz3HXmjgZdqXwkxoA8nhk9Pvb8iXPz8KW4J9EQyBk3JLHpnzS9ysvqPiZbJ3W4RzuydmgKVfNwrKbsIZOfj7ROAsSG-uI1LZbZXxbFbYorLjP7PXVFe6BP9-OxNzXkmbLAk6TsjHCq_lsnNcQoYPonN28FrrfbJ_y0dmUu3A3MTscsRIWycqHaAE2YHv1R81jAoNl3SwUtcXSy2Wv6whlbxxLAR9X_2G7ZKWlR5BMZAOrrF7Ax-VWBnj_XDzqHlz8lrzOxEeE5Ha0O3TBmIynvaUmWa7RUKn0HNW_icLJ_mWdRNGVsoagn2-PRnHxW82imQ0a797L5X8fs0jgez0qg73ru5gIRi_mBiw_yKagF4Nmm6-B8nZBrUyRbQqLfzqyvEDf2PKxdwHUGkumfJSr9hAdQKgNzc=", "id": "rs_0c76e56576ffc0fb016a06f88c035c8191843ff87b8e741080", "summary": [ { "type": "summary_text", "text": "**Inspecting schema transactions**\n\nI need to implement something regarding inspecting the schema for transaction columns. It seems like there's some work to do to ensure everything is set up properly. I'll take the time to look into the structure, making sure the columns are functioning as expected. I wonder if there are any specific attributes I should pay extra attention to? It's always good to double-check these details to avoid issues down the line!" } ] } ], "tool_calls": [ { "id": "call_JXVNalozHnRaGMxIELP38RQj", "call_id": "call_JXVNalozHnRaGMxIELP38RQj", "response_item_id": "fc_0c76e56576ffc0fb016a06f88e723081918ddc01dff56b1dd6", "type": "function", "function": { "name": "search_files", "arguments": "{\"pattern\":\"CREATE TABLE IF NOT EXISTS transactions|transactions \\\\(\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\",\"target\":\"content\",\"context\":8,\"limit\":20}" } } ] }, { "role": "tool", "name": "search_files", "content": "{\"total_count\": 0}", "tool_call_id": "call_JXVNalozHnRaGMxIELP38RQj" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_O5u8no7bY7iOcQPBwL3KT3Zi", "call_id": "call_O5u8no7bY7iOcQPBwL3KT3Zi", "response_item_id": "fc_0c76e56576ffc0fb016a06f891f2308191ace82fe8edead892", "type": "function", "function": { "name": "search_files", "arguments": "{\"context\":10,\"limit\":20,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance\",\"pattern\":\"CREATE TABLE.*transactions|transaction_id TEXT PRIMARY KEY\",\"target\":\"content\"}" } } ] }, { "role": "tool", "name": "search_files", "content": "{\"total_count\": 0}", "tool_call_id": "call_O5u8no7bY7iOcQPBwL3KT3Zi" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_9quK7LpSiVIinMIMMd3ZRt4y", "call_id": "call_9quK7LpSiVIinMIMMd3ZRt4y", "response_item_id": "fc_0c76e56576ffc0fb016a06f895ffb08191801cabe51bcae061", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":220,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/schema.sql\"}" } } ] }, { "role": "tool", "name": "read_file", "content": "{\"content\": \"\", \"total_lines\": 0, \"file_size\": 0, \"truncated\": false, \"is_binary\": false, \"is_image\": false, \"error\": \"File not found: /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/schema.sql\", \"similar_files\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/schema.py\"]}", "tool_call_id": "call_9quK7LpSiVIinMIMMd3ZRt4y" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_1jyNmnX1s2Zb1O0lwsfWxesk", "call_id": "call_1jyNmnX1s2Zb1O0lwsfWxesk", "response_item_id": "fc_0c76e56576ffc0fb016a06f898ed98819190d640478610a8f6", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":420,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/schema.py\"}" } } ] }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 1|INITIAL_SCHEMA_SQL = \\\"\\\\nCREATE TABLE IF NOT EXISTS schema_migrations (\\\\n version INTEGER PRIMARY KEY,\\\\n name TEXT NOT NULL,\\\\n applied_at TEXT NOT NULL,\\\\n checksum TEXT NOT NULL\\\\n);\\\\n\\\\nCREATE TABLE IF NOT EXISTS platforms (\\\\n platform_id TEXT PRIMARY KEY,\\\\n name TEXT NOT NULL UNIQUE,\\\\n platform_type TEXT NOT NULL,\\\\n country TEXT,\\\\n default_currency TEXT NOT NULL DEFAULT 'CHF',\\\\n is_active INTEGER NOT NULL DEFAULT 1,\\\\n notes TEXT,\\\\n created_at TEXT NOT NULL,\\\\n updated_at TEXT\\\\n);\\\\n\\\\nCREATE TABLE IF NOT EXISTS accounts (\\\\n account_id TEXT PRIMARY KEY,\\\\n platform_id TEXT NOT NULL REFERENCES platforms(platform_id),\\\\n account_name TEXT NOT NULL,\\\\n account_type TEXT NOT NULL,\\\\n currency TEXT NOT NULL DEFAULT 'CHF',\\\\n performance_included INTEGER NOT NULL DEFAULT 1,\\\\n is_health_reserve INTEGER NOT NULL DEFAULT 0,\\\\n target_cash_min_chf NUMERIC,\\\\n target_cash_max_chf NUMERIC,\\\\n is_active INTEGER NOT NULL DEFAULT 1,\\\\n notes TEXT,\\\\n created_at TEXT NOT NULL,\\\\n updated_at TEXT,\\\\n UNIQUE(platform_id, account_name)\\\\n);\\\\n\\\\nCREATE TABLE IF NOT EXISTS instruments (\\\\n instrument_id TEXT PRIMARY KEY,\\\\n asset_class TEXT NOT NULL,\\\\n name TEXT NOT NULL,\\\\n ticker TEXT,\\\\n isin TEXT,\\\\n exchange TEXT,\\\\n currency TEXT NOT NULL,\\\\n country TEXT,\\\\n sector TEXT,\\\\n industry TEXT,\\\\n provider_symbol TEXT,\\\\n data_provider_primary TEXT,\\\\n position_category TEXT,\\\\n ter TEXT,\\\\n distribution_policy TEXT,\\\\n index_name TEXT,\\\\n fund_domicile TEXT,\\\\n benchmark TEXT,\\\\n data_provider_fallback TEXT,\\\\n is_active INTEGER NOT NULL DEFAULT 1,\\\\n notes TEXT,\\\\n created_at TEXT NOT NULL,\\\\n updated_at TEXT\\\\n);\\\\n\\\\nCREATE TABLE IF NOT EXISTS transactions (\\\\n transaction_id TEXT PRIMARY KEY,\\\\n transaction_type TEXT NOT NULL,\\\\n account_id TEXT NOT NULL REFERENCES accounts(account_id),\\\\n instrument_id TEXT REFERENCES instruments(instrument_id),\\\\n trade_date TEXT N... [truncated]\\n 2|\\n 3|REQUIRED_TABLES = [\\n 4| \\\"schema_migrations\\\", \\\"platforms\\\", \\\"accounts\\\", \\\"instruments\\\", \\\"transactions\\\",\\n 5| \\\"positions_snapshot\\\", \\\"cash_balances\\\", \\\"fx_rates\\\", \\\"market_prices\\\",\\n 6| \\\"crypto_wallets\\\", \\\"crypto_assets\\\", \\\"crypto_holdings\\\", \\\"crypto_transactions\\\",\\n 7| \\\"crypto_prices\\\", \\\"watchlist\\\", \\\"reports\\\", \\\"alerts\\\", \\\"audit_log\\\",\\n 8| \\\"import_sessions\\\", \\\"decision_journal\\\", \\\"instrument_mappings\\\",\\n 9| \\\"platform_account_mappings\\\", \\\"broker_import_dry_runs\\\",\\n 10|]\\n 11|\", \"total_lines\": 10, \"file_size\": 12653, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_1jyNmnX1s2Zb1O0lwsfWxesk" }, { "role": "assistant", "content": "", "reasoning": "**Inspecting migration details**\n\nI’m looking into using a Python introspect PRAGMA to help with database migrations. It seems like I need to add columns through migration version 8, but I’m wondering if I should also update REQUIRED_TABLES. Maybe it’s not necessary for the plans? I’m not sure about that. I’ll need to inspect the test_schema to clarify what tests I might need or any additional requirements. It feels like there’s a lot to consider to get this right!", "finish_reason": "tool_calls", "reasoning_content": "**Inspecting migration details**\n\nI’m looking into using a Python introspect PRAGMA to help with database migrations. It seems like I need to add columns through migration version 8, but I’m wondering if I should also update REQUIRED_TABLES. Maybe it’s not necessary for the plans? I’m not sure about that. I’ll need to inspect the test_schema to clarify what tests I might need or any additional requirements. It feels like there’s a lot to consider to get this right!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvig7rhoG2NOvDj6bQv9frhjYeBmXp_zo2mGVO8_9F2gOm3OxTXXODZw2aw4riMMb-TAnmsMWY4RnA7eWNTOFn-J0Kb_uqVPmWJuOVeCWPbiYdgutsn8pri00JS50FL2Tk8iY5F1dlSiAdytL236Xtq9fCCRb8tBfNOPKQsa1kNUA9qa3IQW6yQOgMd178p48Txy1u8w2b_JRsX2n-DAHWvdMeZEE52aMdbs0J4NzEed2rycqPpxvAYPhouEbGHTRJm_hthoYldf1SmIz55tJwxanmmIhCAKiWOAIVyK7KMjuKJv4pPcpF3FQzYo9OSBE5lt_6n7G0Y-SXt3X2c6ALb9Xu2vzY1fYYvA3EG3CqQJSkn0zCVYtG6oN7Y43DXhLWrGGkd7Qf6QeHLfJXF7JbhEvsIsi1o6ARjwUAmPUJxlhF4QMG0gzYcPoqZCG_H94onG6v_CFGwWl3qLWxxSynwVFproOBEiqpHFscprvOJBMY2wS2fseU-oXb2PTuAQDJf7pN8pIWy1KAB6TGaZks0vnha1r7ATvBODBpC6PLwC_NFpI1gzIUam2rgYdNScUzoEzXuZnMZ_BXZTvDBeiyNiyfsa5w64H49mIAG-31DJfic5Lsc_S2C3-L6l3t5dfjkKyDUWlOWIE70S0lIPC_zlFdqeYcFFzWDUdDm3R26h39oePfK9kANKG57qYqeZhtsOBpaSXXEZSpbMOGfv7Q_gIHJiIu0QRPdIEEaddjCic0Yq21j1f-UWe4MkN6NM-JYyi-zBhpE99qoOKnVwXcVzc4OY4ukzZIl0iD6GzHmUijoQKtTHxyzzHWTh5lOls5EDCdyjLQTzThVK7tT3mRsRkn6U3w7hQzcGa_wHXws9yP2r8i1322BIOAGdHAO_wjN_3ZS8M2u07rocyLkDbma6ww4sO2sQptrnxWIDG9Lbask09L0-hY6RVlAbwpj2Jrw_tZUZYpVp7DP7U9IUoZfQmt5116l99U50Da3TDVK0SVpQSLSaEB9nosGCEhozADbnpGw3EHGBRVd09BuM1cf0LlftGAKQQiQ430p8oec0JeZVRLs_wwC_nxoW9P6qZj2s8v4DgnkkMOeyX0scOVavtsSGqmfzp9JgDYBJ4rIuUjIdqLUCt7p-pA0d1osBdCIW-uDcM9Cdw6KASkq_QxhI2g==", "id": "rs_0c76e56576ffc0fb016a06f89d11788191bb189e89ef768338", "summary": [ { "type": "summary_text", "text": "**Inspecting migration details**\n\nI’m looking into using a Python introspect PRAGMA to help with database migrations. It seems like I need to add columns through migration version 8, but I’m wondering if I should also update REQUIRED_TABLES. Maybe it’s not necessary for the plans? I’m not sure about that. I’ll need to inspect the test_schema to clarify what tests I might need or any additional requirements. It feels like there’s a lot to consider to get this right!" } ] } ], "tool_calls": [ { "id": "call_hqqRbifgu9vNum4bjnIWZzuE", "call_id": "call_hqqRbifgu9vNum4bjnIWZzuE", "response_item_id": "fc_0c76e56576ffc0fb016a06f89ffe60819195c5ad1b50a562c4", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":220,\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\"}" } } ] }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|from jarvis_finance.storage.database import connect_memory\\n 4|from jarvis_finance.storage.migrations import apply_migrations, get_schema_version\\n 5|from jarvis_finance.storage.schema import REQUIRED_TABLES\\n 6|\\n 7|\\n 8|def test_db_schema_can_be_created() -> None:\\n 9| conn = connect_memory()\\n 10| apply_migrations(conn)\\n 11| tables = {row[\\\"name\\\"] for row in conn.execute(\\\"SELECT name FROM sqlite_master WHERE type='table'\\\")}\\n 12| assert set(REQUIRED_TABLES).issubset(tables)\\n 13|\\n 14|\\n 15|def test_schema_version_recorded() -> None:\\n 16| conn = connect_memory()\\n 17| apply_migrations(conn)\\n 18| assert get_schema_version(conn) == 7\\n 19|\\n 20|\\n 21|def test_decimal_sensitive_columns_use_text_affinity() -> None:\\n 22| conn = connect_memory()\\n 23| apply_migrations(conn)\\n 24| tx_cols = {row[\\\"name\\\"]: row[\\\"type\\\"] for row in conn.execute(\\\"PRAGMA table_info(transactions)\\\").fetchall()}\\n 25| crypto_cols = {row[\\\"name\\\"]: row[\\\"type\\\"] for row in conn.execute(\\\"PRAGMA table_info(crypto_holdings)\\\").fetchall()}\\n 26| instrument_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(instruments)\\\").fetchall()}\\n 27| assert tx_cols[\\\"quantity\\\"].upper() == \\\"TEXT\\\"\\n 28| assert tx_cols[\\\"fx_rate_to_chf\\\"].upper() == \\\"TEXT\\\"\\n 29| assert crypto_cols[\\\"quantity\\\"].upper() == \\\"TEXT\\\"\\n 30| assert {\\\"position_category\\\", \\\"ter\\\", \\\"distribution_policy\\\", \\\"index_name\\\", \\\"fund_domicile\\\", \\\"benchmark\\\"}.issubset(instrument_cols)\\n 31|\\n 32|\\n 33|def test_broker_bank_mapping_tables_exist_with_required_columns() -> None:\\n 34| conn = connect_memory()\\n 35| apply_migrations(conn)\\n 36| instrument_mapping_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(instrument_mappings)\\\").fetchall()}\\n 37| account_mapping_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(platform_account_mappings)\\\").fetchall()}\\n 38| dry_run_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(broker_import_dry_runs)\\\").fetchall()}\\n 39|\\n 40| assert {\\\"source_name\\\", \\\"source_platform\\\", \\\"source_label\\\", \\\"normalized_name\\\", \\\"isin\\\", \\\"ticker\\\", \\\"exchange\\\", \\\"currency\\\", \\\"asset_class\\\", \\\"instrument_id\\\", \\\"mapping_status\\\", \\\"confidence\\\", \\\"quality_flags_json\\\"}.issubset(instrument_mapping_cols)\\n 41| assert {\\\"source_platform\\\", \\\"source_account_label\\\", \\\"normalized_platform\\\", \\\"normalized_account_name\\\", \\\"internal_platform_id\\\", \\\"internal_account_id\\\", \\\"account_type\\\", \\\"currency\\\", \\\"mapping_status\\\"}.issubset(account_mapping_cols)\\n 42| assert {\\\"source_platform\\\", \\\"source_file_type\\\", \\\"source_filename_hash\\\", \\\"detected_snapshot_date\\\", \\\"snapshot_date_status\\\", \\\"candidate_positions\\\", \\\"candidate_cash_rows\\\", \\\"mapped_positions\\\", \\\"blocked_positions\\\", \\\"quality_flags_json\\\", \\\"summary_json\\\", \\\"session_status\\\", \\\"is_current\\\"}.issubset(dry_run_cols)\\n 43| review_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(broker_import_review_items)\\\").fetchall()}\\n 44| assert {\\\"review_item_id\\\", \\\"dry_run_id\\\", \\\"source_platform\\\", \\\"source_row_ref\\\", \\\"row_hash\\\", \\\"source_label\\\", \\\"normalized_name\\\", \\\"detected_asset_class\\\", \\\"detected_currency\\\", \\\"quality_flags_json\\\", \\\"review_status\\\", \\\"import_readiness_status\\\", \\\"reviewer_confirmed\\\", \\\"snapshot_date_confirmed\\\", \\\"ticker_exchange_confirmed\\\", \\\"account_mapping_status\\\"}.issubset(review_cols)\\n 45| execution_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(broker_import_execution_plans)\\\").fetchall()}\\n 46| assert {\\\"execution_plan_id\\\", \\\"dry_run_id\\\", \\\"review_item_id\\\", \\\"source_platform\\\", \\\"target_account_id\\\", \\\"target_instrument_id\\\", \\\"transaction_type\\\", \\\"snapshot_date\\\", \\\"payload_status\\\", \\\"payload_quality_flags_json\\\", \\\"source_row_hash\\\", \\\"planned_write_summary_json\\\", \\\"execution_status\\\", \\\"transaction_id\\\"}.issubset(execution_cols)\\n 47|\", \"total_lines\": 46, \"file_size\": 3575, \"truncated\": false, \"is_binary\": false, \"is_image\": 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I’ll inspect the transaction tests to ensure everything is functioning correctly. It’s important to make sure that my corrections are precise and effective, as this will help maintain the accuracy of the overall system. Let’s take a closer look at the tests to see if they highlight any potential issues that I should address. I want to get this right!" } ] } ], "tool_calls": [ { "id": "call_okDV9O9I0pMpYe1CvQMy4WzK", "call_id": "call_okDV9O9I0pMpYe1CvQMy4WzK", "response_item_id": "fc_0c76e56576ffc0fb016a06f8a6eed8819196b0e384c00001c1", "type": "function", "function": { "name": "search_files", "arguments": "{\"pattern\":\"add_equity_initial_snapshot|calculate_positions|transactions\",\"target\":\"files\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests\",\"limit\":50}" } } ] }, { "role": "tool", "name": "search_files", "content": "{\"total_count\": 0}", "tool_call_id": "call_okDV9O9I0pMpYe1CvQMy4WzK" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_uZCsL6s01PtoXAGNSJVFoIsD", "call_id": "call_uZCsL6s01PtoXAGNSJVFoIsD", "response_item_id": "fc_0c76e56576ffc0fb016a06f8ab1218819181dcaf936a72553f", "type": "function", "function": { "name": "search_files", "arguments": 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2|\\n 3|from decimal import Decimal\\n 4|\\n 5|from jarvis_finance.ledger.cash import apply_manual_cash_correction, calculate_cash_balances\\n 6|from jarvis_finance.ledger.positions import calculate_positions, save_position_snapshots\\n 7|from jarvis_finance.storage.database import connect_memory\\n 8|from jarvis_finance.storage.migrations import apply_migrations\\n 9|\\n 10|\\n 11|def setup_conn():\\n 12| conn = connect_memory()\\n 13| apply_migrations(conn)\\n 14| conn.execute(\\\"INSERT INTO platforms(platform_id,name,platform_type,default_currency,created_at) VALUES('p1','Demo Broker','broker','CHF','now')\\\")\\n 15| conn.execute(\\\"INSERT INTO accounts(account_id,platform_id,account_name,account_type,currency,created_at) VALUES('a1','p1','Main','brokerage','CHF','now')\\\")\\n 16| conn.execute(\\\"INSERT INTO instruments(instrument_id,asset_class,name,ticker,isin,currency,created_at) VALUES('i1','equity','Demo AG','DAG','CH0001','CHF','now')\\\")\\n 17| conn.execute(\\\"INSERT INTO instruments(instrument_id,asset_class,name,ticker,isin,currency,created_at) VALUES('u1','equity','USD Demo Inc','UDI','US0001','USD','now')\\\")\\n 18| return conn\\n 19|\\n 20|\\n 21|def tx(conn, tid, ttype, *, instrument='i1', date='2026-01-01', qty=None, gross=None, fee=0, tax=0, net=None, currency='CHF', fx=1, note='synthetic'):\\n 22| conn.execute(\\n 23| \\\"\\\"\\\"INSERT INTO transactions(\\n 24| transaction_id, transaction_type, account_id, instrument_id, trade_date,\\n 25| quantity, price_original, gross_amount_original, fee_original, tax_original,\\n 26| net_amount_original, currency_original, fx_rate_to_chf, fx_status,\\n 27| gross_amount_chf, fee_chf, tax_chf, net_amount_chf,\\n 28| source_type, is_confirmed, quality_status, notes, created_at\\n 29| ) VALUES(?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)\\\"\\\"\\\",\\n 30| (\\n 31| tid, ttype, 'a1', instrument, date, str(qty) if qty is not None else None, None,\\n 32| str(gross) if gross is not None else None, str(fee), str(tax), str(net) if net is not None else None,\\n 33| currency, str(fx) if fx is not None else None, 'ok' if fx is not None else 'missing',\\n 34| str(Decimal(str(gross))*Decimal(str(fx))) if gross is not None and fx is not None else None,\\n 35| str(Decimal(str(fee))*Decimal(str(fx))) if fx is not None else None,\\n 36| str(Decimal(str(tax))*Decimal(str(fx))) if fx is not None else None,\\n 37| str(Decimal(str(net))*Decimal(str(fx))) if net is not None and fx is not None else None,\\n 38| 'synthetic', 1, 'ok' if fx is not None else 'incomplete', note, 'now'\\n 39| ),\\n 40| )\\n 41|\\n 42|\\n 43|def test_initial_cash_snapshot_is_start_truth_and_buy_sell_dividend_fee_tax_move_cash() -> None:\\n 44| conn = setup_conn()\\n 45| tx(conn, 'c0', 'initial_cash_snapshot', instrument=None, gross=1000, net=1000)\\n 46| tx(conn, 'b1', 'buy', qty=5, gross=500, fee=5, net=505)\\n 47| tx(conn, 's1', 'partial_sell', qty=2, gross=260, fee=2, tax=1, net=257)\\n 48| tx(conn, 'd1', 'dividend', qty=None, gross=20, tax=7, net=13)\\n 49| tx(conn, 'f1', 'fee', instrument=None, gross=3, net=3)\\n 50| tx(conn, 't1', 'tax', instrument=None, gross=4, net=4)\\n 51|\\n 52| result = calculate_cash_balances(conn)\\n 53|\\n 54| key = ('a1', 'CHF')\\n 55| assert result.balances[key].amount_original == Decimal('758')\\n 56| assert result.balances[key].amount_chf == Decimal('758')\\n 57| assert result.negative_cash_warnings == []\\n 58|\\n 59|\\n 60|def test_cash_negative_creates_warning_not_correction() -> None:\\n 61| conn = setup_conn()\\n 62| tx(conn, 'c0', 'initial_cash_snapshot', instrument=None, gross=100, net=100)\\n 63| tx(conn, 'b1', 'buy', qty=2, gross=200, fee=0, net=200)\\n 64|\\n 65| result = calculate_cash_balances(conn)\\n 66|\\n 67| assert result.balances[('a1', 'CHF')].amount_original == Decimal('-100')\\n 68| assert result.negative_cash_warnings\\n 69| alert = conn.execute(\\\"SELECT priority, rule_id FROM alerts WHERE rule_id='negative_cash'\\\").fetchone()\\n 70| assert alert['priority'] == 'warnung'\\n 71|\\n 72|\\n 73|def test_manual_cash_correction_requires_note_and_audit() -> None:\\n 74| conn = setup_conn()\\n 75| try:\\n 76| apply_manual_cash_correction(conn, account_id='a1', currency='CHF', amount=Decimal('10'), note='')\\n 77| except ValueError as exc:\\n 78| assert 'note' in str(exc)\\n 79| else:\\n 80| raise AssertionError('expected note validation')\\n 81|\\n 82| audit_id = apply_manual_cash_correction(conn, account_id='a1', currency='CHF', amount=Decimal('10'), note='Synthetic reconciliation')\\n 83| assert audit_id\\n 84| assert conn.execute(\\\"SELECT COUNT(*) AS n FROM audit_log WHERE action='manual_cash_correction'\\\").fetchone()['n'] == 1\\n 85|\\n 86|\\n 87|def test_weighted_average_cost_buy_fee_usd_fx_and_partial_sell_realized_pnl() -> None:\\n 88| conn = setup_conn()\\n 89| tx(conn, 'b1', 'buy', instrument='u1', date='2026-01-01', qty=10, gross=1000, fee=10, net=1010, currency='USD', fx='0.90')\\n 90| tx(conn, 'b2', 'buy', instrument='u1', date='2026-01-02', qty=10, gross=1200, fee=12, net=1212, currency='USD', fx='0.80')\\n 91| tx(conn, 's1', 'partial_sell', instrument='u1', date='2026-01-03', qty=5, gross=700, fee=7, net=693, currency='USD', fx='0.85')\\n 92|\\n 93| positions = calculate_positions(conn)\\n 94| pos = positions.positions[('a1', 'u1')]\\n 95|\\n 96| assert pos.quantity == Decimal('15')\\n 97| assert pos.cost_basis_original == Decimal('1666.5')\\n 98| assert pos.cost_basis_chf == Decimal('1408.95')\\n 99| assert pos.average_cost_original == Decimal('111.1')\\n 100| assert pos.realized_pnl_chf == Decimal('119.40')\\n 101| assert pos.fees_chf == Decimal('24.55')\\n 102|\\n 103|\\n 104|def test_full_sell_sets_quantity_zero_and_keeps_historical_position_visible() -> None:\\n 105| conn = setup_conn()\\n 106| tx(conn, 'b1', 'buy', qty=3, gross=300, fee=0, net=300)\\n 107| tx(conn, 's1', 'full_sell', qty=3, gross=330, fee=0, net=330)\\n 108|\\n 109| pos = calculate_positions(conn).positions[('a1', 'i1')]\\n 110|\\n 111| assert pos.quantity == Decimal('0')\\n 112| assert pos.cost_basis_chf == Decimal('0')\\n 113| assert pos.realized_pnl_chf == Decimal('30')\\n 114|\\n 115|\\n 116|def test_dividend_changes_income_not_quantity_or_cost_basis() -> None:\\n 117| conn = setup_conn()\\n 118| tx(conn, 'b1', 'buy', qty=4, gross=400, fee=4, net=404)\\n 119| tx(conn, 'd1', 'dividend', qty=None, gross=40, tax=14, net=26)\\n 120|\\n 121| pos = calculate_positions(conn).positions[('a1', 'i1')]\\n 122|\\n 123| assert pos.quantity == Decimal('4')\\n 124| assert pos.cost_basis_chf == Decimal('404')\\n 125| assert pos.income_chf == Decimal('26')\\n 126| assert pos.taxes_chf == Decimal('14')\\n 127|\\n 128|\\n 129|def test_missing_market_price_warns_and_missing_fx_blocks_precise_total_return() -> None:\\n 130| conn = setup_conn()\\n 131| tx(conn, 'b1', 'buy', qty=2, gross=200, fee=0, net=200, fx=None)\\n 132|\\n 133| result = calculate_positions(conn)\\n 134| pos = result.positions[('a1', 'i1')]\\n 135|\\n 136| assert pos.data_quality_status == 'incomplete'\\n 137| assert 'missing_market_price' in pos.quality_warnings\\n 138| assert 'missing_fx' in pos.quality_warnings\\n 139| assert pos.total_return_chf is None\\n 140| assert conn.execute(\\\"SELECT COUNT(*) AS n FROM alerts WHERE rule_id IN ('missing_market_price','missing_fx')\\\").fetchone()['n'] >= 2\\n 141|\\n 142|\\n 143|def test_market_price_enables_unrealized_pnl_total_return_and_snapshot_audit() -> None:\\n 144| conn = setup_conn()\\n 145| tx(conn, 'b1', 'buy', qty=2, gross=200, fee=0, net=200)\\n 146| conn.execute(\\\"INSERT INTO market_prices(market_price_id,instrument_id,price_date,close,currency,provider,quality_status,created_at) VALUES('mp1','i1','2026-01-02',120,'CHF','synthetic','ok','now')\\\")\\n 147|\\n 148| result = calculate_positions(conn, as_of_date='2026-01-02')\\n 149| pos = result.positions[('a1', 'i1')]\\n 150|\\n 151| assert pos.market_value_chf == Decimal('240')\\n 152| assert pos.unrealized_pnl_chf == Decimal('40')\\n 153| assert pos.total_return_chf == Decimal('40')\\n 154|\\n 155| save_position_snapshots(conn, result, note='Synthetic calculated snapshot')\\n 156| assert conn.execute(\\\"SELECT COUNT(*) AS n FROM positions_snapshot\\\").fetchone()['n'] == 1\\n 157| assert conn.execute(\\\"SELECT COUNT(*) AS n FROM audit_log WHERE action='calculate_position_snapshot'\\\").fetchone()['n'] == 1\\n 158|\", \"total_lines\": 157, \"file_size\": 7810, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_rPAqt5VarcCQb2YGu5U0WBmI" }, { "role": "assistant", "content": "", "reasoning": "**Considering execution service**\n\nI need to think about potentially importing an execution service to handle duplicates. Right now, the process is managed by a manual script, which feels a little clunky. It might be worth it to implement a module for broker execution. Also, I need to remember that testing is essential to ensure everything works smoothly. And I should keep in mind the backup functions, as they’ll be crucial for maintaining robustness.", "finish_reason": "tool_calls", "reasoning_content": "**Considering execution service**\n\nI need to think about potentially importing an execution service to handle duplicates. Right now, the process is managed by a manual script, which feels a little clunky. It might be worth it to implement a module for broker execution. Also, I need to remember that testing is essential to ensure everything works smoothly. And I should keep in mind the backup functions, as they’ll be crucial for maintaining robustness.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvjIX7yb-79WUnTZaz4XTT-eWxhERs3hzzPQLuYiU2zvdB8evtI7bRg1MWHnCeEN8B9X29JIIA1kSXLMuuYKdDjVw1IkYXDdukZYFE23BxvsiDW2XAPAkZEoj-zeEhnntZBxPDVC4F0ZQ4p0cjyUTY5EE64yYk4ZZbFJNrS_J40jgj8nAaPemZSVwcKzmCVBVREp-Bh_2dwOmSIXZRFYc2fQPl4qxwB1bkwranpKvNd4wkBJKCA0-8eDlOpyNhw-HV3t4r7GCwHp1yjikK99LjY8kfRqYydpJ1GyXVy6jDySW6RG7-1lkwBLzByK6jx5HYUdLa3S0slaI9no7kSvR2VmYXQhu8U-_UavLTs_eHGx0St2a370-QlLKtkMpGzzadTZ53sK2fxS8_54_smIF2Ub1H5GDbRLqWPoIeUrQ7b1Mk-NBf5yi3iA2BNP2YzbUIg8HeStq-Zqj6HkZovadBYCFSs_nzQtzSch8wq0w2DG_vJbaGtvbCRq97VYm2KZtkzP7jYYvWrGMe54Xug4h6RZizLbsO14lE5ShA2CezaJMRmL0Slp_F3kvEyyuEGo1rvgon2Fod7ihBQdy3RnsM5o8G5DoliTQqDKc0J025ymLh9xA1GUDN0CxbeySsh6vrSCKrQaX709vWtQwvV5caawZnxlxdVfmh2g07OIJRsdNQf0i4VBuvvB9Kx3CGXUf1qKIdte40tVQpoYoAVE9GN-jCHRSLnDd1meLYxVmmmkxFQGMwzlLGi643nPvpOknqYMIL7mIimjjuLdE9yyS6C2jxAcuQzzAc0ZMNHlVb_9fuzaxgMG1sAEPy9EOPCuVlJRJlIfddIIyYfn4MiZkFCH4bhUFJ8uaZaVJJuxS1ex7X_1M9rumsMF_-KKzt2IepgAcd1ur7fUhZCwvwIrkL9g6Zyi_pdT9cz0sW9jrip4UOpHGHR89-bXgkJLor3yjGU5lQ6hXZOHAmsZd6xP4smqq2OG9ZH83tfI5VLcNLD2EonzcWWeUpxoHIs4A25kqhgUd3svH6IYD8kFH3gyPneiKJ2F3Ex0GrPoI3wrmfTf1SyIxiplz7qh_xkPGNJg5djCXnxSx2geOnPo6EPDLSvCDImOIrfyIIEcje9TYWoueYU=", "id": "rs_0c76e56576ffc0fb016a06f8c630708191af8308cf55566c46", "summary": [ { "type": "summary_text", "text": "**Considering execution service**\n\nI need to think about potentially importing an execution service to handle duplicates. Right now, the process is managed by a manual script, which feels a little clunky. It might be worth it to implement a module for broker execution. Also, I need to remember that testing is essential to ensure everything works smoothly. And I should keep in mind the backup functions, as they’ll be crucial for maintaining robustness." } ] } ], "tool_calls": [ { "id": "call_wsb0w4AsYPKY4rfv3dOUClwY", "call_id": "call_wsb0w4AsYPKY4rfv3dOUClwY", "response_item_id": "fc_0c76e56576ffc0fb016a06f8c84c888191a90b8c211d6d058d", "type": "function", "function": { "name": "search_files", "arguments": "{\"context\":3,\"limit\":50,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance\",\"pattern\":\"backup-runtime-db|verify-backup|restore\",\"target\":\"content\"}" } } ] }, { "role": "tool", "name": "search_files", "content": "{\"total_count\": 0}", "tool_call_id": "call_wsb0w4AsYPKY4rfv3dOUClwY" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_glr27pCZ9lHX2VJCWnXKz1fQ", "call_id": "call_glr27pCZ9lHX2VJCWnXKz1fQ", "response_item_id": "fc_0c76e56576ffc0fb016a06f8cce99081918db36781152d77bb", "type": "function", "function": { "name": "search_files", "arguments": "{\"context\":3,\"limit\":50,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance\",\"pattern\":\"backup_runtime|verify_backup|restore_backup\",\"target\":\"content\"}" } } ] }, { "role": "tool", "name": "search_files", "content": "{\"total_count\": 0}", "tool_call_id": "call_glr27pCZ9lHX2VJCWnXKz1fQ" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_ftXlG0BkXPOAxS92UyvqAaek", "call_id": "call_ftXlG0BkXPOAxS92UyvqAaek", "response_item_id": "fc_0c76e56576ffc0fb016a06f8d294c4819180de453aa7967715", "type": "function", "function": { "name": "search_files", "arguments": "{\"limit\":50,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance\",\"pattern\":\"*backup*\",\"target\":\"files\"}" } } ] }, { "role": "tool", "name": "search_files", "content": "{\"total_count\": 2, \"files\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/runtime/__pycache__/backup.cpython-311.pyc\", \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/runtime/backup.py\"]}", "tool_call_id": "call_ftXlG0BkXPOAxS92UyvqAaek" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_9G0S3mACbbRKSMxHtidoTIHO", "call_id": "call_9G0S3mACbbRKSMxHtidoTIHO", "response_item_id": "fc_0c76e56576ffc0fb016a06f8d97d2c8191b72faef965559ff3", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":260,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/runtime/backup.py\"}" } } ] }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|import hashlib\\n 4|import shutil\\n 5|from dataclasses import dataclass\\n 6|from datetime import datetime, timezone\\n 7|from pathlib import Path\\n 8|\\n 9|from jarvis_finance.config.paths import is_relative_to\\n 10|\\n 11|\\n 12|@dataclass(frozen=True)\\n 13|class BackupResult:\\n 14| backup_file: Path\\n 15| checksum_file: Path\\n 16| sha256: str\\n 17| size_bytes: int\\n 18|\\n 19|\\n 20|@dataclass(frozen=True)\\n 21|class VerifyBackupResult:\\n 22| backup_file: Path\\n 23| checksum_file: Path\\n 24| sha256: str\\n 25| checksum_ok: bool\\n 26| exists: bool\\n 27|\\n 28|\\n 29|@dataclass(frozen=True)\\n 30|class RestoreResult:\\n 31| restored_to: Path\\n 32| source_file: Path\\n 33| verified: bool\\n 34|\\n 35|\\n 36|def sha256_file(path: Path) -> str:\\n 37| digest = hashlib.sha256()\\n 38| with path.open(\\\"rb\\\") as handle:\\n 39| for chunk in iter(lambda: handle.read(1024 * 1024), b\\\"\\\"):\\n 40| digest.update(chunk)\\n 41| return digest.hexdigest()\\n 42|\\n 43|\\n 44|def write_checksum_file(backup_file: Path, sha256: str) -> Path:\\n 45| checksum_file = backup_file.with_suffix(backup_file.suffix + \\\".sha256\\\")\\n 46| checksum_file.write_text(f\\\"{sha256} {backup_file.name}\\\\n\\\", encoding=\\\"utf-8\\\")\\n 47| return checksum_file\\n 48|\\n 49|\\n 50|def read_expected_checksum(checksum_file: Path) -> str | None:\\n 51| if not checksum_file.exists():\\n 52| return None\\n 53| text = checksum_file.read_text(encoding=\\\"utf-8\\\", errors=\\\"ignore\\\").strip()\\n 54| if not text:\\n 55| return None\\n 56| return text.split()[0]\\n 57|\\n 58|\\n 59|def ensure_outside_repo(path: Path, repo_root: Path) -> None:\\n 60| if is_relative_to(path.resolve(), repo_root.resolve()):\\n 61| raise ValueError(f\\\"Backup/restore path must be outside the Git repository: {path}\\\")\\n 62|\\n 63|\\n 64|def backup_runtime_db(*, db_path: Path, backups_dir: Path, repo_root: Path, timestamp: str | None = None) -> BackupResult:\\n 65| db_path = db_path.expanduser().resolve()\\n 66| backups_dir = backups_dir.expanduser().resolve()\\n 67| ensure_outside_repo(backups_dir, repo_root)\\n 68| ensure_outside_repo(db_path, repo_root)\\n 69| if not db_path.exists():\\n 70| raise FileNotFoundError(f\\\"Runtime DB not found: {db_path}\\\")\\n 71| backups_dir.mkdir(parents=True, exist_ok=True)\\n 72| stamp = timestamp or datetime.now(timezone.utc).strftime(\\\"%Y%m%dT%H%M%SZ\\\")\\n 73| backup_file = backups_dir / f\\\"finance-runtime-db-{stamp}.sqlite3\\\"\\n 74| shutil.copy2(db_path, backup_file)\\n 75| checksum = sha256_file(backup_file)\\n 76| checksum_file = write_checksum_file(backup_file, checksum)\\n 77| return BackupResult(\\n 78| backup_file=backup_file,\\n 79| checksum_file=checksum_file,\\n 80| sha256=checksum,\\n 81| size_bytes=backup_file.stat().st_size,\\n 82| )\\n 83|\\n 84|\\n 85|def verify_backup(*, backup_file: Path, repo_root: Path | None = None) -> VerifyBackupResult:\\n 86| backup_file = backup_file.expanduser().resolve()\\n 87| if repo_root is not None:\\n 88| ensure_outside_repo(backup_file, repo_root)\\n 89| exists = backup_file.exists() and backup_file.is_file()\\n 90| if not exists:\\n 91| return VerifyBackupResult(\\n 92| backup_file=backup_file,\\n 93| checksum_file=backup_file.with_suffix(backup_file.suffix + \\\".sha256\\\"),\\n 94| sha256=\\\"\\\",\\n 95| checksum_ok=False,\\n 96| exists=False,\\n 97| )\\n 98| actual = sha256_file(backup_file)\\n 99| checksum_file = backup_file.with_suffix(backup_file.suffix + \\\".sha256\\\")\\n 100| expected = read_expected_checksum(checksum_file)\\n 101| return VerifyBackupResult(\\n 102| backup_file=backup_file,\\n 103| checksum_file=checksum_file,\\n 104| sha256=actual,\\n 105| checksum_ok=bool(expected and expected == actual),\\n 106| exists=True,\\n 107| )\\n 108|\\n 109|\\n 110|def restore_runtime_db(*, backup_file: Path, db_path: Path, repo_root: Path, yes: bool = False) -> RestoreResult:\\n 111| if not yes:\\n 112| raise PermissionError(\\\"Restore requires explicit confirmation via --yes\\\")\\n 113| backup_file = backup_file.expanduser().resolve()\\n 114| db_path = db_path.expanduser().resolve()\\n 115| ensure_outside_repo(backup_file, repo_root)\\n 116| ensure_outside_repo(db_path, repo_root)\\n 117| verification = verify_backup(backup_file=backup_file, repo_root=repo_root)\\n 118| if not verification.exists:\\n 119| raise FileNotFoundError(f\\\"Backup file not found: {backup_file}\\\")\\n 120| if not verification.checksum_ok:\\n 121| raise ValueError(f\\\"Backup checksum verification failed: {backup_file}\\\")\\n 122| db_path.parent.mkdir(parents=True, exist_ok=True)\\n 123| shutil.copy2(backup_file, db_path)\\n 124| return RestoreResult(restored_to=db_path, source_file=backup_file, verified=True)\\n 125|\", \"total_lines\": 124, \"file_size\": 4315, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_9G0S3mACbbRKSMxHtidoTIHO" }, { "role": "assistant", "content": "", "reasoning": "**Considering transaction migration**\n\nI'm implementing a migration to add columns to transactions, including fields like voided_at, void_reason, voided_by, correction_of_transaction_id, and correction_reason. There's also an is_voided integer that defaults to 0. I need to ensure that positions ignore any transactions marked as voided. The user mentioned that these transactions should be ignored in calculations. I’m also wondering if cash balances should take voided transactions into account. It seems I need to inspect the cash calculations further.", "finish_reason": "tool_calls", "reasoning_content": "**Considering transaction migration**\n\nI'm implementing a migration to add columns to transactions, including fields like voided_at, void_reason, voided_by, correction_of_transaction_id, and correction_reason. There's also an is_voided integer that defaults to 0. I need to ensure that positions ignore any transactions marked as voided. The user mentioned that these transactions should be ignored in calculations. I’m also wondering if cash balances should take voided transactions into account. It seems I need to inspect the cash calculations further.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvjhY3WMWiyfMWefYHB6QlOPaX1sXlKxTxk604O5NzxZCB_GZZX9F-ryrC8MrKvEtQGO2N6jRdjQmTC1VO0Gr0gZ2Ld9uDaQWIC28d01-IE5ba5YbQeUz6pWEomTsU6iVoW_RyQQIpYY8hUbhePgyWGVf0eIaWdWORmtV-KDpmCCAPwrizkhvKathbatKa2B5I4piCnGsuIaIpWbPiOgNzgnA9xTwr1bVJmvnE9hIrzh6XRqH8Ydv8l50epG_fEEgDiokdPNw8e8eng1vk4qrpAOfxuI04P32cIMgFyZpXgPppuA__Ah1tLAENwTcBdJTmZclen5Hr1QHdIcs-k-lQhqQq92t6_0pmxRPWC6QU07e2pN12zFrxYpsFrsDAekKSUDgsweF1ypJGQJ3MtawepvKfyS7MRxzMR9wtnve891KLkODqeeQxqgxhJa-Su-PIVy3Ee5Pjlu87PY0Or0j5OHFx4Iff76R2OwoSDRObTGeUS7qAD1SZmF6LS3ppKGyI8R-CC2euqN9iOVd3PrGHU8JXPJ_SRb6hCGvqVI_rJBrshC1ia__vwVJe20XOFCZrqJ-BIrD6fwIj9brViACwgMiCPWl6hP5VWQDKQfBdxilKooSgF5mU_R8OrS54X1JKRsA0utGBNPdYr97YBVt4RJ5rim-Iw6FVEBRbbpFjvVQyiz8QkEwlDjRY_LmWb7ML7UXD_nBlAbkxTO_gSMKrTl_HUNLuKS4W48--G7Zympkc5n1nhhuc_8x8N0WNe8Gidb3yXEIaOpmDHGoW3hAmbqVMI6mdg_yjDgoPBOc86bB5rHdo7BqY1CJZgKofpOBiFLLTVW8ZHCA7b6mEL2z7MCHGMV4dfLwCyoIf30tZ4yt0JFtfraFT5QUP26zbQyzrQLJfVixUfl0TpLI6kA9uyyK4qDLLwb5ZplK-jPXUAJ29kG8zM9bLEmpjXqeaxWm4ECRbawbKuBCq_0nt54MghNXgF111lBRr65xiqIDRIozxdMbzKJ4-a35WwsP5DmkjW-tJPqaLyTUfNaKcYvdJ9Ro5WD7_V4b6RzW6ScIsVYYtgBul4fly4plnEXn_RZdejT9T9C6sJjPVZjs41W0RRtVLXA2vg2SfhpakPN7DhFIZlP0mSLXBOPWGcY2mKVtR7h5rRxXejFVTgDeOVto14bh__c-ocJdPuk65CuCx_ZtbCRfgXb_GgruJsQr5QxSXVGjXfXWTP3IjX8SB0rthttBppzXRUO_sZhNzAfe8k7N1r8FS1fN1dSDgJqL0PLTVssn4jrwatOdssJoW_LbCOHkSr-aKoTg_7lWHcIPc1jBIq5OSVxh-__SSyCDwBvVCC8", "id": "rs_0c76e56576ffc0fb016a06f8ddaf1481918d32b2eb4371a033", "summary": [ { "type": "summary_text", "text": "**Considering transaction migration**\n\nI'm implementing a migration to add columns to transactions, including fields like voided_at, void_reason, voided_by, correction_of_transaction_id, and correction_reason. There's also an is_voided integer that defaults to 0. I need to ensure that positions ignore any transactions marked as voided. The user mentioned that these transactions should be ignored in calculations. I’m also wondering if cash balances should take voided transactions into account. It seems I need to inspect the cash calculations further." } ] } ], "tool_calls": [ { "id": "call_E9p4RBNi5AHYZyHmtWQyatK7", "call_id": "call_E9p4RBNi5AHYZyHmtWQyatK7", "response_item_id": "fc_0c76e56576ffc0fb016a06f8e117fc8191924951befccafb3a", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":220,\"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 = \\\"\\\"\\n 69| if as_of_date:\\n 70| where = \\\"WHERE 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\": 5795, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_E9p4RBNi5AHYZyHmtWQyatK7" }, { "role": "assistant", "content": "", "reasoning": "**Updating cash services**\n\nI need to update where cash is being tracked and implement new services. I'll look for the right source and use the \"write_file\" function to create a new file. There might be a need for migrations to patch the system and update schema tests to version 8 while addressing columns. I think adding tests in one file could be a good idea. Also, I should consider backup and restore tests if they already exist.", "finish_reason": "tool_calls", "reasoning_content": "**Updating cash services**\n\nI need to update where cash is being tracked and implement new services. I'll look for the right source and use the \"write_file\" function to create a new file. There might be a need for migrations to patch the system and update schema tests to version 8 while addressing columns. I think adding tests in one file could be a good idea. Also, I should consider backup and restore tests if they already exist.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvjn-mJciDRgIT-Pc5LSrmyqsl30ro20UbQieJcoKehYoO0zTyO2zdu9VU3RdPFiSLxdb7b92Dhxl3uovM2EciTV0GXadmv1A3qZEltAB9_LZnU7QkodwTPUKlxJMK138EQ2LuxmY8mRGxEosqK8mUT7OETk4dpvu4qEnom-WkrYpkZM02TwWD4dPZ_7Z3Mmz3YmY0xdZ-mGq-4DObR--zroEnH-woT7Quvmci4hu9zy9BACQvEAYb5a57ADqGAb9ErzbXYt2qL8EwmvoK0TV7ZLHPM2yBab9avMtPHj4lyWgrueZWGARBf0quEtbdKynbvJ3hLt3qcdCsLKLIWqv1E3PHtDuyfKs4OPcvi_DPDuf1MdVBLFEH16OXlfzejZNmhxTpGjFiZorf8NAKPeRif0uJaLbuaHkaQLA8mRHjM1_6RCv3iKYkYaQZ9WD2z21ajAz18_si74RLAw7S-pIeVvuKy71seVxHRUU-6kk7RDAckSAmZ34B3CHOnYHNGgn6wELherNW0ozXu8sgWEKh9yqjPu_JrjymHZoNKnMscqZYSqkizxXd3gsnxjHLILOzOQckhxr-OhKq9yW_caEodn6sidp0YMWlbAH7Xp5QT_2xGxccFICYaI1w8g8Otw4Ym5kw3bkvTtCiJHiyZ3sTqh7FFvwrr3qSk3O388XdvYm4FquW-pb38Awcpu5l1KuXCT5JpBbRV8dFkgCU1f4NLmK7mjSTOPPvBSvQ8OBuF7goWpcfLP5Hi9Vi-upqYyZU6wwJ357UQp20QGJcRPJ7w3FPlXIFtvlU_FvZDTFsm0pC2AwwiDYvxWwwO5ZFFvAQ7ppgSlOGreFZfL60CrsLS1V5myr8dnPWUxKGhOnFO95JaPuRNbQh3P670F0mCP_PNYHHgvLcmwe4nDwQPgdl1vU57rRV7zi_MvhjZ5XCT7pI-sFF0ew7-HXsqpMXOyagAtfhSrxwJD5Kz2a4vuXfUIEsnuKmT3PEbf_NUFgZDJsy66eiEOccPqUxYrnZ9irpRSRAipeZ3up6F7wBnGfCHxX8bdyzgMcw4Qqf9yTsMLD_Kc-iZwbrbHTeN_xFmJ5UWuRtLg-he8znS1jEU1BXhkolMZ_Cvbmr7kLKmHE2mKiwg78ORiezx3FLx9lewRBPttd_8ldIqApxKZ4OybCxizWuqVS93jULDpC3xpD_cocLDfaMJA9KnaSRlH1GiNIyJy9jlm40bpUlb1FYeW3o7-dNanWGWmOm0kg9Rspri-WSw=", "id": "rs_0c76e56576ffc0fb016a06f8e4d41881919723ad3bbc3d4771", "summary": [ { "type": "summary_text", "text": "**Updating cash services**\n\nI need to update where cash is being tracked and implement new services. I'll look for the right source and use the \"write_file\" function to create a new file. There might be a need for migrations to patch the system and update schema tests to version 8 while addressing columns. I think adding tests in one file could be a good idea. Also, I should consider backup and restore tests if they already exist." } ] } ], "tool_calls": [ { "id": "call_KUMNnv2RAEue9Noi5z9Hjoxx", "call_id": "call_KUMNnv2RAEue9Noi5z9Hjoxx", "response_item_id": "fc_0c76e56576ffc0fb016a06f8e750088191b17b53f135343f8c", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":240,\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_runtime_backup.py\"}" } } ] }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|from pathlib import Path\\n 4|\\n 5|import pytest\\n 6|\\n 7|from jarvis_finance.cli.main import main\\n 8|from jarvis_finance.crypto.assets import create_crypto_asset\\n 9|from jarvis_finance.runtime.backup import backup_runtime_db, restore_runtime_db, verify_backup\\n 10|from jarvis_finance.storage.database import connect\\n 11|from jarvis_finance.storage.migrations import apply_migrations\\n 12|\\n 13|\\n 14|def _seed_db(db_path: Path, marker: str = \\\"demo\\\") -> None:\\n 15| conn = connect(db_path)\\n 16| apply_migrations(conn)\\n 17| create_crypto_asset(conn, coin_name=f\\\"Synthetic {marker}\\\", symbol=marker.upper()[:6], coingecko_id=f\\\"synthetic-{marker}\\\")\\n 18| conn.close()\\n 19|\\n 20|\\n 21|def test_backup_runtime_db_creates_backup_outside_repo(tmp_path: Path) -> None:\\n 22| repo = tmp_path / \\\"repo\\\"\\n 23| repo.mkdir()\\n 24| runtime = tmp_path / \\\"runtime\\\"\\n 25| db = runtime / \\\"data\\\" / \\\"finance.sqlite3\\\"\\n 26| backups = runtime / \\\"backups\\\"\\n 27| _seed_db(db)\\n 28|\\n 29| result = backup_runtime_db(db_path=db, backups_dir=backups, repo_root=repo, timestamp=\\\"20260101T000000Z\\\")\\n 30|\\n 31| assert result.backup_file.exists()\\n 32| assert result.checksum_file.exists()\\n 33| assert result.backup_file.parent == backups.resolve()\\n 34| assert not result.backup_file.resolve().is_relative_to(repo.resolve())\\n 35| assert len(result.sha256) == 64\\n 36|\\n 37|\\n 38|def test_verify_backup_checks_checksum(tmp_path: Path) -> None:\\n 39| repo = tmp_path / \\\"repo\\\"\\n 40| repo.mkdir()\\n 41| runtime = tmp_path / \\\"runtime\\\"\\n 42| db = runtime / \\\"data\\\" / \\\"finance.sqlite3\\\"\\n 43| _seed_db(db)\\n 44| backup = backup_runtime_db(db_path=db, backups_dir=runtime / \\\"backups\\\", repo_root=repo)\\n 45|\\n 46| verified = verify_backup(backup_file=backup.backup_file, repo_root=repo)\\n 47| assert verified.exists is True\\n 48| assert verified.checksum_ok is True\\n 49|\\n 50| backup.backup_file.write_bytes(backup.backup_file.read_bytes() + b\\\"tamper\\\")\\n 51| tampered = verify_backup(backup_file=backup.backup_file, repo_root=repo)\\n 52| assert tampered.checksum_ok is False\\n 53|\\n 54|\\n 55|def test_restore_runtime_db_requires_yes_and_restores_test_db(tmp_path: Path) -> None:\\n 56| repo = tmp_path / \\\"repo\\\"\\n 57| repo.mkdir()\\n 58| runtime = tmp_path / \\\"runtime\\\"\\n 59| db = runtime / \\\"data\\\" / \\\"finance.sqlite3\\\"\\n 60| _seed_db(db, marker=\\\"before\\\")\\n 61| backup = backup_runtime_db(db_path=db, backups_dir=runtime / \\\"backups\\\", repo_root=repo)\\n 62|\\n 63| conn = connect(db)\\n 64| conn.execute(\\\"DELETE FROM crypto_assets\\\")\\n 65| conn.commit()\\n 66| conn.close()\\n 67|\\n 68| with pytest.raises(PermissionError):\\n 69| restore_runtime_db(backup_file=backup.backup_file, db_path=db, repo_root=repo, yes=False)\\n 70|\\n 71| result = restore_runtime_db(backup_file=backup.backup_file, db_path=db, repo_root=repo, yes=True)\\n 72| assert result.verified is True\\n 73| conn = connect(db)\\n 74| count = conn.execute(\\\"SELECT COUNT(*) AS n FROM crypto_assets\\\").fetchone()[\\\"n\\\"]\\n 75| conn.close()\\n 76| assert count == 1\\n 77|\\n 78|\\n 79|def test_backup_cli_verify_and_restore(monkeypatch, tmp_path: Path, capsys) -> None:\\n 80| runtime = tmp_path / \\\"runtime\\\"\\n 81| monkeypatch.setenv(\\\"JARVIS_FINANCE_RUNTIME_DIR\\\", str(runtime))\\n 82| db = runtime / \\\"data\\\" / \\\"finance.sqlite3\\\"\\n 83| _seed_db(db)\\n 84|\\n 85| backup_rc = main([\\\"backup-runtime-db\\\"])\\n 86| backup_out = capsys.readouterr().out\\n 87| assert backup_rc == 0\\n 88| assert \\\"RUNTIME_DB_BACKUP\\\" in backup_out\\n 89| backup_file = next(part.split(\\\"=\\\", 1)[1] for part in backup_out.split() if part.startswith(\\\"backup_file=\\\"))\\n 90| assert str(runtime / \\\"backups\\\") in backup_file\\n 91|\\n 92| verify_rc = main([\\\"verify-backup\\\", \\\"--file\\\", backup_file])\\n 93| verify_out = capsys.readouterr().out\\n 94| assert verify_rc == 0\\n 95| assert \\\"checksum_ok=true\\\" in verify_out\\n 96|\\n 97| conn = connect(db)\\n 98| conn.execute(\\\"DELETE FROM crypto_assets\\\")\\n 99| conn.commit()\\n 100| conn.close()\\n 101| restore_rc = main([\\\"restore-runtime-db\\\", \\\"--from\\\", backup_file, \\\"--yes\\\"])\\n 102| restore_out = capsys.readouterr().out\\n 103| assert restore_rc == 0\\n 104| assert \\\"RUNTIME_DB_RESTORE\\\" in restore_out\\n 105|\\n 106| conn = connect(db)\\n 107| count = conn.execute(\\\"SELECT COUNT(*) AS n FROM crypto_assets\\\").fetchone()[\\\"n\\\"]\\n 108| conn.close()\\n 109| assert count == 1\\n 110|\", \"total_lines\": 109, \"file_size\": 3987, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_KUMNnv2RAEue9Noi5z9Hjoxx" }, { "role": "assistant", "content": "", "reasoning": "**Planning database tests**\n\nI’m considering adding a test restore to a different test database—maybe one that's already been restored. That makes me think about the patch migrations that we’ll need to apply. It’s important to keep things organized, so I’ll ensure all the necessary changes are made. I want to make sure I’m following the right steps to keep everything working smoothly!", "finish_reason": "tool_calls", "reasoning_content": "**Planning database tests**\n\nI’m considering adding a test restore to a different test database—maybe one that's already been restored. That makes me think about the patch migrations that we’ll need to apply. It’s important to keep things organized, so I’ll ensure all the necessary changes are made. I want to make sure I’m following the right steps to keep everything working smoothly!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvjuYr8eD1r5WLOzTvxpdC1aEhdlpWND89rjS4HxPe67xvaFAkzamP1Qk2YbnQWu9KsReX-lqSm1PUiwnZ3jXjH4S1Qq7RgQgOBz_QRf7ZIW5cfML0-xK_jq0xL9BMaMu5kJ6cytftSqj68f4xh06XW4EvhSpeJPB4r00cweLEfmUuulmv5kRq30xsUqE4o4bu8Fmu36I-7Yk39NdLKcplOrs-zsL9eBV-G6YFYZqvDw_cRrEWHyhxm8lpEDW9TvscptjcXbQe5HITXUvG7ZZuYwTorIvIbQsXDC1pypX4YrzVrLb-U08kMb0UVOsAza005Ddz-wU7OJVzQ6ELDi07tI9V7FlqpN-XiZDpP4-sqYE_NshAgm5RblSUMrkzjZ2AXOyweS9EZoGtIGY4v0v4K_P5cq78ZnXxeblg6ThT3TwvTpUSkOYA5jpNAd3xlmCyo3SN45Ymd_I8XAMX53SQC-xyzcRLZGiuJLnEE1O_FAG11ILuq7IyfX_mF9RIiDpUIUe295gIgIUxff4QhwUtNcHPCGjv5bmU-vqIAuIANIHaaWlvlY-CSb0jJKWesY_XoGqf6R-lVKHgH4B9BlvbBodZUvVIMpzZvAF65z6zIbLOHtVFWx-6iedq7lRKRfRzydbqYFUZX72SKnMFfo4bUDeRt4XtttHTgSE_ldkf4-fZFYmInqPe-MV8BriSLPDQIpkS0JZhcUOsknpuNEqenfAt64e0sMZA9ICIcNj0LgGMm5B8ktSN5sn2sQwBccrP2aRXoNKfelK7lL_kht5akM6YxfGiyAj8SRgLWt5YV6x0-DjnNnuCqwOnkar-Nmqr7guUEftzigzlT4cIuuAdN_ZuDpuce2TYfN4irAn4D2dpOmVLMxrfjaxJsYkfU8DKIZ4CpBybN7LjLIwMfwp_8iY3jACKtjZY3W3yxyJLyMdrxYllbLzbxrFvd7zMEiPuoSZoX0rWQ01Ebrn8yhQhFWHkgrMbXIpqA819Gj-1hrDP2zKTWV_X17vu_M6gYhJKuAER_-2d-xLmlj4s1xSayiIDS2cWpd5vGowZJANxBm0os=", "id": "rs_0c76e56576ffc0fb016a06f8ead0bc81918651fed859f9722e", "summary": [ { "type": "summary_text", "text": "**Planning database tests**\n\nI’m considering adding a test restore to a different test database—maybe one that's already been restored. That makes me think about the patch migrations that we’ll need to apply. It’s important to keep things organized, so I’ll ensure all the necessary changes are made. I want to make sure I’m following the right steps to keep everything working smoothly!" } ] } ], "tool_calls": [ { "id": "call_daMbzlpzM9Vo157yNvbCdRf6", "call_id": "call_daMbzlpzM9Vo157yNvbCdRf6", "response_item_id": "fc_0c76e56576ffc0fb016a06f8eefe00819196fd18e44d5085bc", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":340,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\"}" } } ] }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|import hashlib\\n 4|from datetime import datetime, timezone\\n 5|from sqlite3 import Connection\\n 6|\\n 7|from .schema import INITIAL_SCHEMA_SQL\\n 8|\\n 9|MIGRATION_VERSION = 7\\n 10|MIGRATION_NAME = \\\"007_broker_import_execution_plans\\\"\\n 11|\\n 12|INSTRUMENT_OPTIONAL_COLUMNS = {\\n 13| \\\"position_category\\\": \\\"TEXT\\\",\\n 14| \\\"ter\\\": \\\"TEXT\\\",\\n 15| \\\"distribution_policy\\\": \\\"TEXT\\\",\\n 16| \\\"index_name\\\": \\\"TEXT\\\",\\n 17| \\\"fund_domicile\\\": \\\"TEXT\\\",\\n 18| \\\"benchmark\\\": \\\"TEXT\\\",\\n 19|}\\n 20|\\n 21|TEXT_AFFINITY_COLUMNS = {\\n 22| \\\"transactions\\\": {\\\"quantity\\\", \\\"price_original\\\", \\\"gross_amount_original\\\", \\\"fee_original\\\", \\\"tax_original\\\", \\\"net_amount_original\\\", \\\"fx_rate_to_chf\\\", \\\"gross_amount_chf\\\", \\\"fee_chf\\\", \\\"tax_chf\\\", \\\"net_amount_chf\\\"},\\n 23| \\\"crypto_holdings\\\": {\\\"quantity\\\", \\\"legacy_snapshot_value_original\\\", \\\"legacy_snapshot_value_chf\\\"},\\n 24| \\\"crypto_transactions\\\": {\\\"quantity\\\", \\\"price_original\\\", \\\"gross_amount_original\\\", \\\"fee_quantity\\\", \\\"fee_original\\\", \\\"fx_rate_to_chf\\\", \\\"amount_chf\\\"},\\n 25| \\\"crypto_prices\\\": {\\\"price\\\", \\\"market_cap\\\", \\\"volume_24h\\\", \\\"change_24h_pct\\\"},\\n 26|}\\n 27|\\n 28|\\n 29|def utc_now() -> str:\\n 30| return datetime.now(timezone.utc).isoformat()\\n 31|\\n 32|\\n 33|def checksum_sql(sql: str) -> str:\\n 34| return hashlib.sha256(sql.encode(\\\"utf-8\\\")).hexdigest()\\n 35|\\n 36|\\n 37|def get_schema_version(conn: Connection) -> int:\\n 38| row = conn.execute(\\\"SELECT MAX(version) AS version FROM schema_migrations\\\").fetchone()\\n 39| return int(row[\\\"version\\\"] or 0) if row else 0\\n 40|\\n 41|\\n 42|def _table_columns(conn: Connection, table: str) -> dict[str, str]:\\n 43| return {row[\\\"name\\\"]: (row[\\\"type\\\"] or \\\"\\\") for row in conn.execute(f\\\"PRAGMA table_info({table})\\\").fetchall()}\\n 44|\\n 45|\\n 46|def _add_missing_instrument_columns(conn: Connection) -> None:\\n 47| existing = _table_columns(conn, \\\"instruments\\\")\\n 48| for name, col_type in INSTRUMENT_OPTIONAL_COLUMNS.items():\\n 49| if name not in existing:\\n 50| conn.execute(f\\\"ALTER TABLE instruments ADD COLUMN {name} {col_type}\\\")\\n 51|\\n 52|\\n 53|def _rebuild_table_with_text_columns(conn: Connection, table: str, text_columns: set[str]) -> None:\\n 54| cols = conn.execute(f\\\"PRAGMA table_info({table})\\\").fetchall()\\n 55| if not cols:\\n 56| return\\n 57| needs_rebuild = any(row[\\\"name\\\"] in text_columns and (row[\\\"type\\\"] or \\\"\\\").upper() != \\\"TEXT\\\" for row in cols)\\n 58| if not needs_rebuild:\\n 59| return\\n 60| tmp = f\\\"{table}__text_migration\\\"\\n 61| col_defs: list[str] = []\\n 62| pk_cols = [row[\\\"name\\\"] for row in cols if row[\\\"pk\\\"]]\\n 63| for row in cols:\\n 64| name = row[\\\"name\\\"]\\n 65| col_type = \\\"TEXT\\\" if name in text_columns else (row[\\\"type\\\"] or \\\"TEXT\\\")\\n 66| parts = [name, col_type]\\n 67| if row[\\\"pk\\\"] and len(pk_cols) == 1:\\n 68| parts.append(\\\"PRIMARY KEY\\\")\\n 69| if row[\\\"notnull\\\"]:\\n 70| parts.append(\\\"NOT NULL\\\")\\n 71| if row[\\\"dflt_value\\\"] is not None:\\n 72| parts.append(f\\\"DEFAULT {row['dflt_value']}\\\")\\n 73| col_defs.append(\\\" \\\".join(parts))\\n 74| if len(pk_cols) > 1:\\n 75| col_defs.append(\\\"PRIMARY KEY (\\\" + \\\", \\\".join(pk_cols) + \\\")\\\")\\n 76| conn.execute(f\\\"DROP TABLE IF EXISTS {tmp}\\\")\\n 77| conn.execute(f\\\"CREATE TABLE {tmp} (\\\" + \\\", \\\".join(col_defs) + \\\")\\\")\\n 78| names = [row[\\\"name\\\"] for row in cols]\\n 79| select_exprs = [f\\\"CAST({name} AS TEXT)\\\" if name in text_columns else name for name in names]\\n 80| conn.execute(f\\\"INSERT INTO {tmp} ({', '.join(names)}) SELECT {', '.join(select_exprs)} FROM {table}\\\")\\n 81| conn.execute(f\\\"DROP TABLE {table}\\\")\\n 82| conn.execute(f\\\"ALTER TABLE {tmp} RENAME TO {table}\\\")\\n 83| if table == \\\"crypto_holdings\\\":\\n 84| conn.execute(\\\"CREATE UNIQUE INDEX IF NOT EXISTS idx_crypto_holdings_asset_wallet ON crypto_holdings(asset_id, wallet_id)\\\")\\n 85|\\n 86|\\n 87|def _add_missing_columns(conn: Connection, table: str, columns: dict[str, str]) -> None:\\n 88| existing = _table_columns(conn, table)\\n 89| for name, col_type in columns.items():\\n 90| if name not in existing:\\n 91| conn.execute(f\\\"ALTER TABLE {table} ADD COLUMN {name} {col_type}\\\")\\n 92|\\n 93|\\n 94|def _create_broker_bank_mapping_tables(conn: Connection) -> None:\\n 95| conn.executescript(\\n 96| \\\"\\\"\\\"\\n 97| CREATE TABLE IF NOT EXISTS instrument_mappings (\\n 98| mapping_id TEXT PRIMARY KEY,\\n 99| source_name TEXT,\\n 100| source_platform TEXT NOT NULL,\\n 101| source_account TEXT,\\n 102| source_label TEXT NOT NULL,\\n 103| normalized_name TEXT NOT NULL,\\n 104| isin TEXT,\\n 105| ticker TEXT,\\n 106| exchange TEXT,\\n 107| currency TEXT,\\n 108| asset_class TEXT NOT NULL DEFAULT 'other',\\n 109| source_instrument_name TEXT,\\n 110| source_isin TEXT,\\n 111| source_ticker TEXT,\\n 112| source_exchange TEXT,\\n 113| source_currency TEXT,\\n 114| instrument_id TEXT REFERENCES instruments(instrument_id),\\n 115| mapping_status TEXT NOT NULL DEFAULT 'needs_manual_review',\\n 116| confidence TEXT NOT NULL DEFAULT '0',\\n 117| quality_flags_json TEXT,\\n 118| notes TEXT,\\n 119| created_at TEXT NOT NULL,\\n 120| updated_at TEXT\\n 121| );\\n 122|\\n 123| CREATE TABLE IF NOT EXISTS platform_account_mappings (\\n 124| mapping_id TEXT PRIMARY KEY,\\n 125| source_name TEXT,\\n 126| source_platform TEXT NOT NULL,\\n 127| source_platform_label TEXT,\\n 128| source_account_label TEXT NOT NULL,\\n 129| normalized_platform TEXT NOT NULL,\\n 130| normalized_account_name TEXT NOT NULL,\\n 131| source_account_type TEXT,\\n 132| account_type TEXT NOT NULL DEFAULT 'other',\\n 133| source_currency TEXT,\\n 134| currency TEXT,\\n 135| platform_id TEXT REFERENCES platforms(platform_id),\\n 136| account_id TEXT REFERENCES accounts(account_id),\\n 137| internal_platform_id TEXT REFERENCES platforms(platform_id),\\n 138| internal_account_id TEXT REFERENCES accounts(account_id),\\n 139| mapping_status TEXT NOT NULL DEFAULT 'needs_manual_review',\\n 140| quality_flags_json TEXT,\\n 141| notes TEXT,\\n 142| created_at TEXT NOT NULL,\\n 143| updated_at TEXT\\n 144| );\\n 145|\\n 146| CREATE TABLE IF NOT EXISTS broker_import_dry_runs (\\n 147| dry_run_id TEXT PRIMARY KEY,\\n 148| source_name TEXT,\\n 149| source_platform TEXT NOT NULL,\\n 150| source_file_label TEXT,\\n 151| source_file_type TEXT NOT NULL,\\n 152| source_hash TEXT,\\n 153| source_filename_hash TEXT,\\n 154| detected_snapshot_date TEXT,\\n 155| snapshot_date_status TEXT NOT NULL DEFAULT 'missing',\\n 156| detected_sections_json TEXT NOT NULL,\\n 157| field_coverage_json TEXT,\\n 158| rows_total INTEGER NOT NULL DEFAULT 0,\\n 159| rows_position_candidates INTEGER NOT NULL DEFAULT 0,\\n 160| rows_cash_candidates INTEGER NOT NULL DEFAULT 0,\\n 161| candidate_positions INTEGER NOT NULL DEFAULT 0,\\n 162| candidate_cash_rows INTEGER NOT NULL DEFAULT 0,\\n 163| mapped_positions INTEGER NOT NULL DEFAULT 0,\\n 164| blocked_positions INTEGER NOT NULL DEFAULT 0,\\n 165| warnings_count INTEGER NOT NULL DEFAULT 0,\\n 166| errors_count INTEGER NOT NULL DEFAULT 0,\\n 167| quality_flags_json TEXT NOT NULL,\\n 168| summary_json TEXT NOT NULL DEFAULT '{}',\\n 169| created_at TEXT NOT NULL,\\n 170| notes TEXT\\n 171| );\\n 172| \\\"\\\"\\\"\\n 173| )\\n 174| _add_missing_columns(conn, \\\"instrument_mappings\\\", {\\n 175| \\\"source_name\\\": \\\"TEXT\\\",\\n 176| \\\"source_platform\\\": \\\"TEXT\\\",\\n 177| \\\"source_account\\\": \\\"TEXT\\\",\\n 178| \\\"source_label\\\": \\\"TEXT\\\",\\n 179| \\\"normalized_name\\\": \\\"TEXT\\\",\\n 180| \\\"isin\\\": \\\"TEXT\\\",\\n 181| \\\"ticker\\\": \\\"TEXT\\\",\\n 182| \\\"exchange\\\": \\\"TEXT\\\",\\n 183| \\\"currency\\\": \\\"TEXT\\\",\\n 184| \\\"asset_class\\\": \\\"TEXT DEFAULT 'other'\\\",\\n 185| \\\"confidence\\\": \\\"TEXT DEFAULT '0'\\\",\\n 186| })\\n 187| _add_missing_columns(conn, \\\"platform_account_mappings\\\", {\\n 188| \\\"source_platform\\\": \\\"TEXT\\\",\\n 189| \\\"normalized_platform\\\": \\\"TEXT\\\",\\n 190| \\\"normalized_account_name\\\": \\\"TEXT\\\",\\n 191| \\\"account_type\\\": \\\"TEXT DEFAULT 'other'\\\",\\n 192| \\\"currency\\\": \\\"TEXT\\\",\\n 193| \\\"internal_platform_id\\\": \\\"TEXT\\\",\\n 194| \\\"internal_account_id\\\": \\\"TEXT\\\",\\n 195| })\\n 196| _add_missing_columns(conn, \\\"broker_import_dry_runs\\\", {\\n 197| \\\"source_platform\\\": \\\"TEXT\\\",\\n 198| \\\"source_filename_hash\\\": \\\"TEXT\\\",\\n 199| \\\"detected_snapshot_date\\\": \\\"TEXT\\\",\\n 200| \\\"snapshot_date_status\\\": \\\"TEXT DEFAULT 'missing'\\\",\\n 201| \\\"candidate_positions\\\": \\\"INTEGER DEFAULT 0\\\",\\n 202| \\\"candidate_cash_rows\\\": \\\"INTEGER DEFAULT 0\\\",\\n 203| \\\"mapped_positions\\\": \\\"INTEGER DEFAULT 0\\\",\\n 204| \\\"blocked_positions\\\": \\\"INTEGER DEFAULT 0\\\",\\n 205| \\\"warnings_count\\\": \\\"INTEGER DEFAULT 0\\\",\\n 206| \\\"errors_count\\\": \\\"INTEGER DEFAULT 0\\\",\\n 207| \\\"summary_json\\\": \\\"TEXT DEFAULT '{}'\\\",\\n 208| \\\"session_status\\\": \\\"TEXT DEFAULT 'active'\\\",\\n 209| \\\"is_current\\\": \\\"INTEGER DEFAULT 0\\\",\\n 210| \\\"archived_at\\\": \\\"TEXT\\\",\\n 211| \\\"discarded_at\\\": \\\"TEXT\\\",\\n 212| })\\n 213|\\n 214|\\n 215|def _create_broker_import_review_items(conn: Connection) -> None:\\n 216| conn.executescript(\\n 217| \\\"\\\"\\\"\\n 218| CREATE TABLE IF NOT EXISTS broker_import_review_items (\\n 219| review_item_id TEXT PRIMARY KEY,\\n 220| dry_run_id TEXT NOT NULL REFERENCES broker_import_dry_runs(dry_run_id),\\n 221| source_platform TEXT NOT NULL,\\n 222| source_file_type TEXT NOT NULL,\\n 223| source_row_ref TEXT NOT NULL,\\n 224| row_hash TEXT NOT NULL,\\n 225| source_label TEXT,\\n 226| normalized_name TEXT,\\n 227| detected_asset_class TEXT,\\n 228| detected_currency TEXT,\\n 229| detected_quantity_present INTEGER NOT NULL DEFAULT 0,\\n 230| detected_market_value_present INTEGER NOT NULL DEFAULT 0,\\n 231| isin TEXT,\\n 232| ticker TEXT,\\n 233| exchange TEXT,\\n 234| mapped_instrument_id TEXT REFERENCES instruments(instrument_id),\\n 235| mapped_account_id TEXT REFERENCES accounts(account_id),\\n 236| quality_flags_json TEXT NOT NULL,\\n 237| review_status TEXT NOT NULL DEFAULT 'open',\\n 238| reviewer_note TEXT,\\n 239| created_at TEXT NOT NULL,\\n 240| updated_at TEXT\\n 241| );\\n 242| CREATE INDEX IF NOT EXISTS idx_broker_review_items_dry_run ON broker_import_review_items(dry_run_id);\\n 243| CREATE INDEX IF NOT EXISTS idx_broker_review_items_status ON broker_import_review_items(review_status);\\n 244| \\\"\\\"\\\"\\n 245| )\\n 246| _add_missing_columns(conn, \\\"broker_import_review_items\\\", {\\n 247| \\\"import_readiness_status\\\": \\\"TEXT DEFAULT 'not_ready'\\\",\\n 248| \\\"reviewer_confirmed\\\": \\\"INTEGER DEFAULT 0\\\",\\n 249| \\\"snapshot_date_confirmed\\\": \\\"INTEGER DEFAULT 0\\\",\\n 250| \\\"ticker_exchange_confirmed\\\": \\\"INTEGER DEFAULT 0\\\",\\n 251| \\\"account_mapping_status\\\": \\\"TEXT DEFAULT 'missing'\\\",\\n 252| })\\n 253|\\n 254|def _create_broker_import_execution_plans(conn: Connection) -> None:\\n 255| conn.executescript(\\n 256| \\\"\\\"\\\"\\n 257| CREATE TABLE IF NOT EXISTS broker_import_execution_plans (\\n 258| execution_plan_id TEXT PRIMARY KEY,\\n 259| dry_run_id TEXT NOT NULL REFERENCES broker_import_dry_runs(dry_run_id),\\n 260| review_item_id TEXT NOT NULL REFERENCES broker_import_review_items(review_item_id),\\n 261| source_platform TEXT NOT NULL,\\n 262| target_account_id TEXT NOT NULL REFERENCES accounts(account_id),\\n 263| target_instrument_id TEXT NOT NULL REFERENCES instruments(instrument_id),\\n 264| transaction_type TEXT NOT NULL DEFAULT 'initial_position_snapshot',\\n 265| snapshot_date TEXT,\\n 266| payload_status TEXT NOT NULL,\\n 267| payload_quality_flags_json TEXT NOT NULL DEFAULT '[]',\\n 268| source_row_hash TEXT NOT NULL,\\n 269| planned_write_summary_json TEXT NOT NULL DEFAULT '{}',\\n 270| execution_status TEXT NOT NULL DEFAULT 'planned',\\n 271| transaction_id TEXT REFERENCES transactions(transaction_id),\\n 272| created_at TEXT NOT NULL,\\n 273| updated_at TEXT,\\n 274| executed_at TEXT,\\n 275| notes TEXT\\n 276| );\\n 277| CREATE UNIQUE INDEX IF NOT EXISTS idx_broker_execution_plan_review_item ON broker_import_execution_plans(review_item_id);\\n 278| CREATE UNIQUE INDEX IF NOT EXISTS idx_broker_execution_plan_source_hash ON broker_import_execution_plans(source_row_hash, target_account_id, target_instrument_id, transaction_type);\\n 279| \\\"\\\"\\\"\\n 280| )\\n 281|\\n 282|def _apply_compat_migrations(conn: Connection) -> None:\\n 283| _add_missing_instrument_columns(conn)\\n 284| for table, text_columns in TEXT_AFFINITY_COLUMNS.items():\\n 285| _rebuild_table_with_text_columns(conn, table, text_columns)\\n 286| _create_broker_bank_mapping_tables(conn)\\n 287| _create_broker_import_review_items(conn)\\n 288| _create_broker_import_execution_plans(conn)\\n 289|\\n 290|\\n 291|def apply_migrations(conn: Connection) -> None:\\n 292| conn.executescript(INITIAL_SCHEMA_SQL)\\n 293| existing_initial = conn.execute(\\\"SELECT 1 FROM schema_migrations WHERE version = 1\\\").fetchone()\\n 294| if not existing_initial:\\n 295| conn.execute(\\n 296| \\\"INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)\\\",\\n 297| (1, \\\"001_initial_schema\\\", utc_now(), checksum_sql(INITIAL_SCHEMA_SQL)),\\n 298| )\\n 299| _apply_compat_migrations(conn)\\n 300| existing = conn.execute(\\\"SELECT 1 FROM schema_migrations WHERE version = ?\\\", (MIGRATION_VERSION,)).fetchone()\\n 301| if not existing:\\n 302| conn.execute(\\n 303| \\\"INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)\\\",\\n 304| (MIGRATION_VERSION, MIGRATION_NAME, utc_now(), checksum_sql(MIGRATION_NAME)),\\n 305| )\\n 306| conn.commit()\\n 307|\", \"total_lines\": 306, \"file_size\": 13079, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_daMbzlpzM9Vo157yNvbCdRf6" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvjy4zc1VMmSQ5du6R-ucLq0rVNIqapRFAKmxDbDpLldeQW4gFyF2X_hoZEGm_QTQ6Bxop7pgJYVFsFBWhBNwIYuBNu2LHF1Lx4XuzolU_9Csv0UqVjR9D1PKjADEj5wj9Pgw9Erp47ZkPX-QOFJmnxlgH3vm9e-g_VmkZXUUJPYTwdpAuYadWsnR-dOZqhyBmP0hnsiM6DBefbHBcsHCkkuK1GeplVGgVdtgaTyX63OLTfiI_PRI2bcveTJMa8bpS0ifGRs0QKpIh2GDjibgPAtR1K2qdVmXXVFiMo6J0OJX3WRc-4O2SyEzDkdhIO6jZ_jEmHa__T1PGrPCkVICiAl1qZQpZf6Grtjc6eC5sSEJhkeBE3Xn4CsVEvTxq_oR7CbNCmHVLzN_pY_VBYPBhBBFFb46VnbFarqjDYlWDGDTYs9sIFgTaaA9Sb7GIgg8RVH1DRKDblgaG5p7vgy7uTazgqeXY9RF7kZleYvQ8z6z99S0PuOV3L5p3blPPsO4tydR-yro_uuAvVmnlqnvum8JiTpcB_-zOR1Hb3latH34ZQy5orePQhyZ-g6ds5rUhioW44pnGbmUO-9EK6SDoDMaZj5AbphxTe8KRUJvPjThSas2AAqCMvfd1WenkE5GTYd9NGcIlJRZ4RyjjKUyOmqQNNOQqYWpxk33ENGospu-Q86KCiH0y50FnKFn8E0g5WyvJJUBfP7G5vOPuhI32R3uyPFh-M2CK0KN2ZK7wyPHO3jImThl5WlQpXlu5KZb5va5a-j2OdX-vryA0ayGxySRBkjM7noNTF_E8WQuOXqSb9rmZ-h2FL2_WI5E9trhbekwuEBhelPmx2lPgKohwOmBl8N3n8gKDM6WDEFqKo8TEq7qKG4AKQ60LxpmemIfL7NqYN7B1mz1lKFwBbDMvSdzXoIMe9DGu6zUI3ub9diNTw=", "id": "rs_0c76e56576ffc0fb016a06f8f1ce2c819181e58ca267a686ef", "summary": [] } ], "tool_calls": [ { "id": "call_jqno5Bg4muqfZhpHW4cROCaO", "call_id": "call_jqno5Bg4muqfZhpHW4cROCaO", "response_item_id": "fc_0c76e56576ffc0fb016a06f8f252c481919b9efc5f233c6c96", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\",\"old_string\":\"MIGRATION_VERSION = 7\\nMIGRATION_NAME = \\\"007_broker_import_execution_plans\\\"\",\"new_string\":\"MIGRATION_VERSION = 8\\nMIGRATION_NAME = \\\"008_transaction_void_corrections\\\"\"}" } } ] }, { "role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\\n@@ -6,8 +6,8 @@\\n \\n from .schema import INITIAL_SCHEMA_SQL\\n \\n-MIGRATION_VERSION = 7\\n-MIGRATION_NAME = \\\"007_broker_import_execution_plans\\\"\\n+MIGRATION_VERSION = 8\\n+MIGRATION_NAME = \\\"008_transaction_void_corrections\\\"\\n \\n INSTRUMENT_OPTIONAL_COLUMNS = {\\n \\\"position_category\\\": \\\"TEXT\\\",\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_jqno5Bg4muqfZhpHW4cROCaO" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_1hPy3GC8Sy0KLMuG3ZboKGYd", "call_id": "call_1hPy3GC8Sy0KLMuG3ZboKGYd", "response_item_id": "fc_0c76e56576ffc0fb016a06f8f733a881918e5ced3c092aaf24", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"old_string\":\"def _apply_compat_migrations(conn: Connection) -> None:\\n _add_missing_instrument_columns(conn)\\n for table, text_columns in TEXT_AFFINITY_COLUMNS.items():\\n _rebuild_table_with_text_columns(conn, table, text_columns)\\n _create_broker_bank_mapping_tables(conn)\\n _create_broker_import_review_items(conn)\\n _create_broker_import_execution_plans(conn)\\n\",\"new_string\":\"def _add_transaction_void_columns(conn: Connection) -> None:\\n _add_missing_columns(conn, \\\"transactions\\\", {\\n \\\"is_voided\\\": \\\"INTEGER NOT NULL DEFAULT 0\\\",\\n \\\"voided_at\\\": \\\"TEXT\\\",\\n \\\"void_reason\\\": \\\"TEXT\\\",\\n \\\"voided_by\\\": \\\"TEXT\\\",\\n \\\"correction_of_transaction_id\\\": \\\"TEXT REFERENCES transactions(transaction_id)\\\",\\n \\\"correction_reason\\\": \\\"TEXT\\\",\\n })\\n conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_transactions_voided ON transactions(is_voided)\\\")\\n conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_transactions_correction_of ON transactions(correction_of_transaction_id)\\\")\\n\\n\\ndef _apply_compat_migrations(conn: Connection) -> None:\\n _add_missing_instrument_columns(conn)\\n for table, text_columns in TEXT_AFFINITY_COLUMNS.items():\\n _rebuild_table_with_text_columns(conn, table, text_columns)\\n _create_broker_bank_mapping_tables(conn)\\n _create_broker_import_review_items(conn)\\n _create_broker_import_execution_plans(conn)\\n _add_transaction_void_columns(conn)\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\"}" } } ] }, { "role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\\n@@ -279,6 +279,19 @@\\n \\\"\\\"\\\"\\n )\\n \\n+def _add_transaction_void_columns(conn: Connection) -> None:\\n+ _add_missing_columns(conn, \\\"transactions\\\", {\\n+ \\\"is_voided\\\": \\\"INTEGER NOT NULL DEFAULT 0\\\",\\n+ \\\"voided_at\\\": \\\"TEXT\\\",\\n+ \\\"void_reason\\\": \\\"TEXT\\\",\\n+ \\\"voided_by\\\": \\\"TEXT\\\",\\n+ \\\"correction_of_transaction_id\\\": \\\"TEXT REFERENCES transactions(transaction_id)\\\",\\n+ \\\"correction_reason\\\": \\\"TEXT\\\",\\n+ })\\n+ conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_transactions_voided ON transactions(is_voided)\\\")\\n+ conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_transactions_correction_of ON transactions(correction_of_transaction_id)\\\")\\n+\\n+\\n def _apply_compat_migrations(conn: Connection) -> None:\\n _add_missing_instrument_columns(conn)\\n for table, text_columns in TEXT_AFFINITY_COLUMNS.items():\\n@@ -286,6 +299,7 @@\\n _create_broker_bank_mapping_tables(conn)\\n _create_broker_import_review_items(conn)\\n _create_broker_import_execution_plans(conn)\\n+ _add_transaction_void_columns(conn)\\n \\n \\n def apply_migrations(conn: Connection) -> None:\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_1hPy3GC8Sy0KLMuG3ZboKGYd" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_kAXctKqXYZXsxzR2M2DbWNGt", "call_id": "call_kAXctKqXYZXsxzR2M2DbWNGt", "response_item_id": "fc_0c76e56576ffc0fb016a06f90212108191bf181d97bfb61462", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" where = \\\"WHERE instrument_id IS NOT NULL AND COALESCE(is_voided, 0) = 0\\\"\",\"old_string\":\" where = \\\"WHERE instrument_id IS NOT NULL\\\"\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\"}" } } ] }, { "role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\\n@@ -93,7 +93,7 @@\\n result = PositionCalculationResult(as_of_date=as_of_date)\\n lots: dict[tuple[str, str], WeightedAverageLot] = {}\\n params: tuple[object, ...] = ()\\n- where = \\\"WHERE instrument_id IS NOT NULL\\\"\\n+ where = \\\"WHERE instrument_id IS NOT NULL AND COALESCE(is_voided, 0) = 0\\\"\\n if as_of_date:\\n where += \\\" AND trade_date <= ?\\\"\\n params = (as_of_date,)\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_kAXctKqXYZXsxzR2M2DbWNGt" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_Tt6SpykfTlwuonQezMhmtqnh", "call_id": "call_Tt6SpykfTlwuonQezMhmtqnh", "response_item_id": "fc_0c76e56576ffc0fb016a06f90a3780819199d9fbc8764b56fa", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" where = \\\"WHERE COALESCE(is_voided, 0) = 0\\\"\\n if as_of_date:\\n where += \\\" AND trade_date <= ?\\\"\\n params = (as_of_date,)\",\"old_string\":\" where = \\\"\\\"\\n if as_of_date:\\n where = \\\"WHERE trade_date <= ?\\\"\\n params = (as_of_date,)\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/cash.py\"}" } } ] }, { "role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/cash.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/cash.py\\n@@ -65,9 +65,9 @@\\n def calculate_cash_balances(conn: Connection, *, as_of_date: str | None = None) -> CashCalculationResult:\\n result = CashCalculationResult()\\n params: tuple[object, ...] = ()\\n- where = \\\"\\\"\\n+ where = \\\"WHERE COALESCE(is_voided, 0) = 0\\\"\\n if as_of_date:\\n- where = \\\"WHERE trade_date <= ?\\\"\\n+ where += \\\" AND trade_date <= ?\\\"\\n params = (as_of_date,)\\n rows = conn.execute(\\n f\\\"\\\"\\\"\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/cash.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_Tt6SpykfTlwuonQezMhmtqnh" }, { "role": "assistant", "content": "", "reasoning": "**Organizing service file needs**\n\nI need to create a service file for import execution. Specifically, I'll develop `jarvis_finance/imports/execution.py`, implementing `execute_execution_plan` for testing and future use. It's crucial to have a stable UUID and to incorporate duplicate checks. I should also make sure to understand the audit signature requirements. Overall, I'm focused on ensuring everything is organized and functional for smooth operation.", "finish_reason": "tool_calls", "reasoning_content": "**Organizing service file needs**\n\nI need to create a service file for import execution. Specifically, I'll develop `jarvis_finance/imports/execution.py`, implementing `execute_execution_plan` for testing and future use. It's crucial to have a stable UUID and to incorporate duplicate checks. I should also make sure to understand the audit signature requirements. Overall, I'm focused on ensuring everything is organized and functional for smooth operation.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvkWnl2TamBP66XadPQ9TSwy42M08d1_8JcjjPZlL_vSi3uq73zjfsOgroM6-DuuyWk-UIr2iOcvJqwafaeLw7Mz4IWhCsHQ1m-moum0G1N6zRg3oTUOGPrGY9HLqiHmDrKue1jmdgmk9b8CNEegC1Uduu6GHTa0hJ8kM6Fsu_v8jTEgGqACVsN6UxMarOBBwpJx7CUQcdHYRGOpijowUK0XLDTJDpUTwpiE2xVfBg3RLzPhwMUyYgi5i-KIxddjwIlAVgOoUKoUkDezz9zRu75broBu_m2PUTP2Iqrk0yepHsqMB2VedtJghDkyNSvw9BdeUKmo1_A_7aEHfam0yNVmnSbxMjySY3VqXzAGPCZaosRHydO_VbgjKJzXmxNGIty7Jo34VYoOaSw_E5CK7R3lPPwB8S75zJsRi3Oqy0H3sToZCmivbtmG8A70xYHl7E3o7YQCZc3BZTGmwa-diGhD1NlfxHk4f8USKhgrux5FlQYarG-Qu7uIF3SqEJcdqtCkYjAc4ycEd-feedhDx6KOwroE1O4UjvKk_lLQWPa_cNNPI96JB8ES9cnTtukJBEwyI5gbl8rOyXgQJ3PvG1JRdEXKJa21D_nvxYt9v3Efxw70hA2wMiHvnyNTf0zs4u4FeXX68Ft2L_QFLHgJuEFgsIPNyu9JJqAb_aP-6fNMBCYNrCWjQAGE4GqTXDZnxTlTN_BYwPnykmtM70KXL1OuULFUvxgfochtRf-zF52zBcRjyXg6XfM3qCyAqFaA3Cv_fmJuwyXDXc4HWeu6eF2vt9fc2_NP1nafZKf21tct8-Q0vUwNhGtOxSy6v0pcD7hjm57Lkmky8m-xHfAlvZ9yqjZlpo6-O4DzBubL2P4rQoG78dQOAKhEp0oQ7yEVThQnCjLNgpvy3ry68GHIiNN-Bw__BYkNgQFUo9IjiXAQTWJY-tTWgcsutXF9wjEdyAKvPRwoCy_IDht93k9V7TB0BeoRwt9ex1kZqON1l2rCwelUU5iNblJf3IgnXUzuhUgmN64B7oFWs9P3Ju58caWEFJSPCktOB3Qa_ueLWSGE-7lkRjS7ByyfrSFquzXI0OJ5zSUN-ALKGMtubEjxbXueT4poCfdAr7NdjNLioG8B4y1DqFcJm_PXv0zRblSVTpra99zGctjKh7GAbYYe5cZvoSyLlAJN4DLhCIw6uECVuKxMzJuQc278tEqU72dND8oC", "id": "rs_0c76e56576ffc0fb016a06f91304888191a3e4695f18090594", "summary": [ { "type": "summary_text", "text": "**Organizing service file needs**\n\nI need to create a service file for import execution. Specifically, I'll develop `jarvis_finance/imports/execution.py`, implementing `execute_execution_plan` for testing and future use. It's crucial to have a stable UUID and to incorporate duplicate checks. I should also make sure to understand the audit signature requirements. Overall, I'm focused on ensuring everything is organized and functional for smooth operation." } ] } ], "tool_calls": [ { "id": "call_xn0yuuxDsYSRU6TQ9ZDgwHHa", "call_id": "call_xn0yuuxDsYSRU6TQ9ZDgwHHa", "response_item_id": "fc_0c76e56576ffc0fb016a06f916180c819180fb096846222e39", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":180,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/audit/log.py\"}" } } ] }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|import json\\n 4|import uuid\\n 5|from datetime import datetime, timezone\\n 6|from sqlite3 import Connection\\n 7|from typing import Any\\n 8|\\n 9|\\n 10|def utc_now() -> str:\\n 11| return datetime.now(timezone.utc).isoformat()\\n 12|\\n 13|\\n 14|def record_audit_event(\\n 15| conn: Connection,\\n 16| *,\\n 17| source: str,\\n 18| action: str,\\n 19| entity_type: str,\\n 20| entity_id: str,\\n 21| old_values: dict[str, Any] | None = None,\\n 22| new_values: dict[str, Any] | None = None,\\n 23| user_text_note: str | None = None,\\n 24| confirmed: bool = True,\\n 25| created_by: str = \\\"system\\\",\\n 26|) -> str:\\n 27| audit_id = str(uuid.uuid4())\\n 28| now = utc_now()\\n 29| conn.execute(\\n 30| \\\"\\\"\\\"\\n 31| INSERT INTO audit_log(\\n 32| audit_id, timestamp, source, action, entity_type, entity_id,\\n 33| old_values_json, new_values_json, user_text_note, confirmed,\\n 34| confirmation_timestamp, created_by, created_at\\n 35| ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n 36| \\\"\\\"\\\",\\n 37| (\\n 38| audit_id,\\n 39| now,\\n 40| source,\\n 41| action,\\n 42| entity_type,\\n 43| entity_id,\\n 44| json.dumps(old_values or {}, sort_keys=True),\\n 45| json.dumps(new_values or {}, sort_keys=True),\\n 46| user_text_note,\\n 47| 1 if confirmed else 0,\\n 48| now if confirmed else None,\\n 49| created_by,\\n 50| now,\\n 51| ),\\n 52| )\\n 53| return audit_id\\n 54|\", \"total_lines\": 53, \"file_size\": 1383, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_xn0yuuxDsYSRU6TQ9ZDgwHHa" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_qGYMMnKi3cTtMaFss6d0LxPC", "call_id": "call_qGYMMnKi3cTtMaFss6d0LxPC", "response_item_id": "fc_0c76e56576ffc0fb016a06f91a70048191bf9873a5ecd2c8c7", "type": "function", "function": { "name": "write_file", "arguments": "{\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/corrections.py\",\"content\":\"from __future__ import annotations\\n\\nimport uuid\\nfrom sqlite3 import Connection\\n\\nfrom jarvis_finance.audit.log import record_audit_event\\nfrom jarvis_finance.imports.common import utc_now\\nfrom jarvis_finance.quality.alerts import create_alert\\n\\n\\ndef void_transaction(conn: Connection, *, transaction_id: str, note: str, created_by: str = \\\"system\\\") -> str:\\n \\\"\\\"\\\"Mark a productive transaction as voided without deleting it.\\n\\n The original row remains in the ledger for auditability. Position and cash\\n calculations ignore rows with ``is_voided=1``.\\n \\\"\\\"\\\"\\n if not note.strip():\\n raise ValueError(\\\"void_transaction requires a note\\\")\\n row = conn.execute(\\\"SELECT * FROM transactions WHERE transaction_id=?\\\", (transaction_id,)).fetchone()\\n if row is None:\\n raise ValueError(f\\\"transaction not found: {transaction_id}\\\")\\n if int(row[\\\"is_voided\\\"] or 0) == 1:\\n raise ValueError(f\\\"transaction is already voided: {transaction_id}\\\")\\n now = utc_now()\\n conn.execute(\\n \\\"\\\"\\\"\\n UPDATE transactions\\n SET is_voided=1, voided_at=?, void_reason=?, voided_by=?, updated_at=?\\n WHERE transaction_id=?\\n \\\"\\\"\\\",\\n (now, note, created_by, now, transaction_id),\\n )\\n audit_id = record_audit_event(\\n conn,\\n source=\\\"ledger_corrections\\\",\\n action=\\\"void_transaction\\\",\\n entity_type=\\\"transaction\\\",\\n entity_id=transaction_id,\\n old_values={\\\"is_voided\\\": int(row[\\\"is_voided\\\"] or 0), \\\"quality_status\\\": row[\\\"quality_status\\\"]},\\n new_values={\\\"is_voided\\\": 1, \\\"voided_at\\\": now, \\\"void_reason\\\": note},\\n user_text_note=note,\\n confirmed=True,\\n created_by=created_by,\\n )\\n create_alert(\\n conn,\\n priority=\\\"warnung\\\",\\n category=\\\"ledger\\\",\\n entity_type=\\\"transaction\\\",\\n entity_id=transaction_id,\\n rule_id=\\\"voided_transaction\\\",\\n message=\\\"A ledger transaction was voided and remains excluded from active position/cash calculations.\\\",\\n evidence={\\\"transaction_id\\\": transaction_id, \\\"voided_at\\\": now},\\n )\\n conn.commit()\\n return audit_id\\n\\n\\ndef record_correction_audit(\\n conn: Connection,\\n *,\\n old_transaction_id: str,\\n new_transaction_id: str,\\n note: str,\\n created_by: str = \\\"system\\\",\\n) -> str:\\n \\\"\\\"\\\"Link an existing transaction to its correction transaction via audit.\\n\\n Creation of the replacement transaction remains with the caller/importer so\\n quantities and source-specific fields stay under that workflow's validation.\\n \\\"\\\"\\\"\\n if not note.strip():\\n raise ValueError(\\\"correction transaction requires a note\\\")\\n old_row = conn.execute(\\\"SELECT transaction_id FROM transactions WHERE transaction_id=?\\\", (old_transaction_id,)).fetchone()\\n new_row = conn.execute(\\\"SELECT transaction_id FROM transactions WHERE transaction_id=?\\\", (new_transaction_id,)).fetchone()\\n if old_row is None or new_row is None:\\n raise ValueError(\\\"old and new transactions must both exist\\\")\\n now = utc_now()\\n conn.execute(\\n \\\"\\\"\\\"\\n UPDATE transactions\\n SET correction_of_transaction_id=?, correction_reason=?, updated_at=?\\n WHERE transaction_id=?\\n \\\"\\\"\\\",\\n (old_transaction_id, note, now, new_transaction_id),\\n )\\n audit_id = record_audit_event(\\n conn,\\n source=\\\"ledger_corrections\\\",\\n action=\\\"correction_transaction\\\",\\n entity_type=\\\"transaction\\\",\\n entity_id=new_transaction_id,\\n old_values={\\\"old_transaction_id\\\": old_transaction_id},\\n new_values={\\\"new_transaction_id\\\": new_transaction_id, \\\"correction_of_transaction_id\\\": old_transaction_id},\\n user_text_note=note,\\n confirmed=True,\\n created_by=created_by,\\n )\\n conn.commit()\\n return audit_id\\n\"}" } } ] }, { "role": "tool", "name": "write_file", "content": "{\"bytes_written\": 3752, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_qGYMMnKi3cTtMaFss6d0LxPC" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_RF1BjAmTQtNnnOaxmriCrOgF", "call_id": "call_RF1BjAmTQtNnnOaxmriCrOgF", "response_item_id": "fc_0c76e56576ffc0fb016a06f92f1d2881918dd6f4a500179999", "type": "function", "function": { "name": "write_file", "arguments": "{\"content\":\"from __future__ import annotations\\n\\nimport json\\nimport uuid\\nfrom dataclasses import dataclass\\nfrom sqlite3 import Connection\\n\\nfrom jarvis_finance.audit.log import record_audit_event\\nfrom jarvis_finance.imports.common import utc_now\\n\\n\\n@dataclass(frozen=True)\\nclass ExecutionImportResult:\\n transaction_id: str\\n imported: bool\\n\\n\\ndef execute_initial_snapshot_plan(conn: Connection, *, execution_plan_id: str, note: str, created_by: str = \\\"system\\\") -> ExecutionImportResult:\\n if not note.strip():\\n raise ValueError(\\\"execution import requires a note\\\")\\n plan = conn.execute(\\\"SELECT * FROM broker_import_execution_plans WHERE execution_plan_id=?\\\", (execution_plan_id,)).fetchone()\\n if plan is None:\\n raise ValueError(f\\\"execution plan not found: {execution_plan_id}\\\")\\n if plan[\\\"payload_status\\\"] != \\\"ready\\\":\\n raise ValueError(f\\\"execution plan is not ready: {execution_plan_id}\\\")\\n if plan[\\\"execution_status\\\"] == \\\"imported\\\" or plan[\\\"transaction_id\\\"]:\\n raise ValueError(f\\\"execution plan already imported: {execution_plan_id}\\\")\\n existing = conn.execute(\\n \\\"\\\"\\\"\\n SELECT transaction_id FROM transactions\\n WHERE source_type='broker_import_reviewed_snapshot'\\n AND (source_id=? OR external_transaction_id=? OR row_hash=?)\\n LIMIT 1\\n \\\"\\\"\\\",\\n (plan[\\\"execution_plan_id\\\"], plan[\\\"execution_plan_id\\\"], plan[\\\"source_row_hash\\\"]),\\n ).fetchone()\\n if existing:\\n raise ValueError(\\\"execution plan or source row hash already imported\\\")\\n payload = json.loads(plan[\\\"planned_write_summary_json\\\"] or \\\"{}\\\")\\n required = [\\\"account_id\\\", \\\"instrument_id\\\", \\\"trade_date\\\", \\\"quantity\\\", \\\"currency_original\\\"]\\n missing = [key for key in required if not payload.get(key)]\\n if missing:\\n raise ValueError(\\\"execution payload missing required fields: \\\" + \\\", \\\".join(missing))\\n tx_id = \\\"tx-\\\" + str(uuid.uuid4())\\n now = utc_now()\\n quality = \\\"warning\\\" if (payload.get(\\\"fx_status\\\") == \\\"missing\\\" or \\\"cost_basis_uncertain\\\" in (plan[\\\"payload_quality_flags_json\\\"] or \\\"\\\")) else \\\"ok\\\"\\n conn.execute(\\n \\\"\\\"\\\"\\n INSERT INTO transactions(\\n transaction_id, transaction_type, account_id, instrument_id, trade_date, settlement_date,\\n quantity, price_original, gross_amount_original, fee_original, tax_original, net_amount_original,\\n currency_original, fx_rate_to_chf, fx_source, fx_status, gross_amount_chf, fee_chf, tax_chf, net_amount_chf,\\n source_type, source_id, external_transaction_id, row_hash, is_confirmed, quality_status, notes, created_at, updated_at\\n ) VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)\\n \\\"\\\"\\\",\\n (\\n tx_id, \\\"initial_position_snapshot\\\", payload[\\\"account_id\\\"], payload[\\\"instrument_id\\\"], payload[\\\"trade_date\\\"], payload[\\\"trade_date\\\"],\\n payload[\\\"quantity\\\"], payload.get(\\\"price_original\\\"), None, None, None, None,\\n payload.get(\\\"currency_original\\\"), payload.get(\\\"fx_rate_to_chf\\\"), payload.get(\\\"fx_source\\\") or \\\"missing_in_source\\\", payload.get(\\\"fx_status\\\", \\\"missing\\\"), payload.get(\\\"gross_amount_chf\\\"), None, None, None,\\n \\\"broker_import_reviewed_snapshot\\\", plan[\\\"execution_plan_id\\\"], plan[\\\"execution_plan_id\\\"], plan[\\\"source_row_hash\\\"], 1, quality,\\n note, now, now,\\n ),\\n )\\n conn.execute(\\n \\\"UPDATE broker_import_execution_plans SET execution_status='imported', transaction_id=?, executed_at=?, updated_at=?, notes=? WHERE execution_plan_id=?\\\",\\n (tx_id, now, now, note, execution_plan_id),\\n )\\n conn.execute(\\n \\\"UPDATE broker_import_review_items SET review_status='imported', reviewer_note=?, updated_at=? WHERE review_item_id=?\\\",\\n (note, now, plan[\\\"review_item_id\\\"]),\\n )\\n record_audit_event(\\n conn,\\n source=\\\"broker_import_execution_plan\\\",\\n action=\\\"execute_mini_import\\\",\\n entity_type=\\\"transaction\\\",\\n entity_id=tx_id,\\n old_values={},\\n new_values={\\\"execution_plan_id\\\": execution_plan_id, \\\"review_item_id\\\": plan[\\\"review_item_id\\\"], \\\"transaction_type\\\": \\\"initial_position_snapshot\\\", \\\"quality_status\\\": quality},\\n user_text_note=note,\\n confirmed=True,\\n created_by=created_by,\\n )\\n record_audit_event(\\n conn,\\n source=\\\"manual_review_queue\\\",\\n action=\\\"mark_review_item_imported\\\",\\n entity_type=\\\"broker_import_review_item\\\",\\n entity_id=plan[\\\"review_item_id\\\"],\\n old_values={\\\"review_status\\\": \\\"resolved\\\"},\\n new_values={\\\"review_status\\\": \\\"imported\\\", \\\"transaction_id\\\": tx_id},\\n user_text_note=note,\\n confirmed=True,\\n created_by=created_by,\\n )\\n conn.commit()\\n return ExecutionImportResult(transaction_id=tx_id, imported=True)\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/execution.py\"}" } } ] }, { "role": "tool", "name": "write_file", "content": "{\"bytes_written\": 4729, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_RF1BjAmTQtNnnOaxmriCrOgF" }, { "role": "assistant", "content": "", "reasoning": "**Generating tests and helpers**\n\nI'm focusing on generating tests and setup helpers. It's important to ensure that the source row hash is checked for duplicates and that schema tests are in place as well. This will help maintain data integrity and functionality. So, I need to outline what specific tests are needed and how to set up those helpers. Having a solid testing foundation will really make things easier moving forward!", "finish_reason": "tool_calls", "reasoning_content": "**Generating tests and helpers**\n\nI'm focusing on generating tests and setup helpers. It's important to ensure that the source row hash is checked for duplicates and that schema tests are in place as well. This will help maintain data integrity and functionality. So, I need to outline what specific tests are needed and how to set up those helpers. Having a solid testing foundation will really make things easier moving forward!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvlN4MP26mrqmpj8cLb8UyGIm0x1U0Fc_dnZkWjqSyou-ZfSjxp0eaaUoUnehMqEdWH-VbD7YNY21v65ptAGiBrF2hdaTfTh9CR1tUEMz0JA8999PerF3BflpFJDuslILY6HbUGh06_jEi69hn7ZxbV7dPD_K4l57vj8ypT1064Qrhq_mwrWXa_QZ3_wDMk85U3zhhxW-LWVOm-wYMcN0yI9-IaZzjHk1FvVSnSZiPeM3A_2kbt5MgonvGK1X63P58ghQZjCq0UdTJyYAGe2IWhTtaMB9zWzIyKfKvnNc8KXQkXOIzezzBK0S9i2NbA1P0JaY1xs7ZUwV_CxOhMdF2k2dPx054d3kfcPzoYbNvaT7fARcLVDwvz66XqNh4vcxXTpCTgpoQieE5n1Hx9Alup8mXOhIvFpQwUdZ_KDTIsCbEKLazhUKEHXbAZmAX4_f3ySIy3JQNfpcnyFUzoNWvBLnR62QCZX4KRmWyW5_qdk0l53U82HzhSrL_1f8GjY2ygsTagHlRVl4s0SjdjI164FCFM2f1I9bLRgx14HMd-HRLYsKHwJaewxFql4bkzExxXsB8xD2D6TSd1mYnatmjm2YShO3fMkzUzwjFbQu_vu62KOMZWAKdWUjiRxVyICZ5V_qh51jBYyO11TYizexykhlOLxwSOMeLu3ekV6Pixp_yRJ0otp2_mvI8p0no4dSB4Hup2SRMUYGcaFPpCFfU4A_zjAacESKzuB9frO8YhS0DieBcHBCaPWODotlrTe0tKI52rY-nMfNYn2W0_g2CXDri8WJw6Q3V0YrErAiJPNF422StwGaGlq4ghcB5jj4lxi1mQqx-FQthzl2jx102x0-aMB-NPZqCoVKl8NPnq58S1CujNcIFZtJmLZgEmtIVY8znxkOynwfp6rlbbDuxGvcQRb_H9Ff8vnnZ_x4yrwSFSJpXrDF8eMmrsA7G_KaG8hOes0uqgXw-JIAB7JNN9dOEptpo_8j9EP5DrRPiYP4iKdFN7lSbroX6MrG4RSfWajdkBrj_r9ehuQ4NaM0HRUjA==", "id": "rs_0c76e56576ffc0fb016a06f94b91888191838938fc5804763b", "summary": [ { "type": "summary_text", "text": "**Generating tests and helpers**\n\nI'm focusing on generating tests and setup helpers. It's important to ensure that the source row hash is checked for duplicates and that schema tests are in place as well. This will help maintain data integrity and functionality. So, I need to outline what specific tests are needed and how to set up those helpers. Having a solid testing foundation will really make things easier moving forward!" } ] } ], "tool_calls": [ { "id": "call_OzYhfPbIF3gYUHTNgrXduDWy", "call_id": "call_OzYhfPbIF3gYUHTNgrXduDWy", "response_item_id": "fc_0c76e56576ffc0fb016a06f94dc7648191a927315452780c1f", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" assert get_schema_version(conn) == 8\",\"old_string\":\" assert get_schema_version(conn) == 7\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\"}" } } ] }, { "role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\\n@@ -15,7 +15,7 @@\\n def test_schema_version_recorded() -> None:\\n conn = connect_memory()\\n apply_migrations(conn)\\n- assert get_schema_version(conn) == 7\\n+ assert get_schema_version(conn) == 8\\n \\n \\n def test_decimal_sensitive_columns_use_text_affinity() -> None:\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_OzYhfPbIF3gYUHTNgrXduDWy" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_BnrWqTLOScBhz5blOBxRHU6q", "call_id": "call_BnrWqTLOScBhz5blOBxRHU6q", "response_item_id": "fc_0c76e56576ffc0fb016a06f95337dc81918640b5acf7d04ab7", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" execution_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(broker_import_execution_plans)\\\").fetchall()}\\n assert {\\\"execution_plan_id\\\", \\\"dry_run_id\\\", \\\"review_item_id\\\", \\\"source_platform\\\", \\\"target_account_id\\\", \\\"target_instrument_id\\\", \\\"transaction_type\\\", \\\"snapshot_date\\\", \\\"payload_status\\\", \\\"payload_quality_flags_json\\\", \\\"source_row_hash\\\", \\\"planned_write_summary_json\\\", \\\"execution_status\\\", \\\"transaction_id\\\"}.issubset(execution_cols)\\n transaction_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(transactions)\\\").fetchall()}\\n assert {\\\"is_voided\\\", \\\"voided_at\\\", \\\"void_reason\\\", \\\"voided_by\\\", \\\"correction_of_transaction_id\\\", \\\"correction_reason\\\"}.issubset(transaction_cols)\\n\",\"old_string\":\" execution_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(broker_import_execution_plans)\\\").fetchall()}\\n assert {\\\"execution_plan_id\\\", \\\"dry_run_id\\\", \\\"review_item_id\\\", \\\"source_platform\\\", \\\"target_account_id\\\", \\\"target_instrument_id\\\", \\\"transaction_type\\\", \\\"snapshot_date\\\", \\\"payload_status\\\", \\\"payload_quality_flags_json\\\", \\\"source_row_hash\\\", \\\"planned_write_summary_json\\\", \\\"execution_status\\\", \\\"transaction_id\\\"}.issubset(execution_cols)\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\"}" } } ] }, { "role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\\n@@ -44,3 +44,5 @@\\n assert {\\\"review_item_id\\\", \\\"dry_run_id\\\", \\\"source_platform\\\", \\\"source_row_ref\\\", \\\"row_hash\\\", \\\"source_label\\\", \\\"normalized_name\\\", \\\"detected_asset_class\\\", \\\"detected_currency\\\", \\\"quality_flags_json\\\", \\\"review_status\\\", \\\"import_readiness_status\\\", \\\"reviewer_confirmed\\\", \\\"snapshot_date_confirmed\\\", \\\"ticker_exchange_confirmed\\\", \\\"account_mapping_status\\\"}.issubset(review_cols)\\n execution_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(broker_import_execution_plans)\\\").fetchall()}\\n assert {\\\"execution_plan_id\\\", \\\"dry_run_id\\\", \\\"review_item_id\\\", \\\"source_platform\\\", \\\"target_account_id\\\", \\\"target_instrument_id\\\", \\\"transaction_type\\\", \\\"snapshot_date\\\", \\\"payload_status\\\", \\\"payload_quality_flags_json\\\", \\\"source_row_hash\\\", \\\"planned_write_summary_json\\\", \\\"execution_status\\\", \\\"transaction_id\\\"}.issubset(execution_cols)\\n+ transaction_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(transactions)\\\").fetchall()}\\n+ assert {\\\"is_voided\\\", \\\"voided_at\\\", \\\"void_reason\\\", \\\"voided_by\\\", \\\"correction_of_transaction_id\\\", \\\"correction_reason\\\"}.issubset(transaction_cols)\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_BnrWqTLOScBhz5blOBxRHU6q" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_VAQiPV8IlwJ2lhsst2JbKEt7", "call_id": "call_VAQiPV8IlwJ2lhsst2JbKEt7", "response_item_id": "fc_0c76e56576ffc0fb016a06f95e7cc88191ab21b3a4ab0abeda", "type": "function", "function": { "name": "write_file", "arguments": "{\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_import_execution_and_corrections.py\",\"content\":\"from __future__ import annotations\\n\\nimport json\\nfrom decimal import Decimal\\n\\nimport pytest\\n\\nfrom jarvis_finance.imports.execution import execute_initial_snapshot_plan\\nfrom jarvis_finance.ledger.corrections import record_correction_audit, void_transaction\\nfrom jarvis_finance.ledger.positions import calculate_positions\\nfrom jarvis_finance.storage.database import connect_memory\\nfrom jarvis_finance.storage.migrations import apply_migrations\\n\\n\\ndef setup_conn():\\n conn = connect_memory()\\n apply_migrations(conn)\\n conn.execute(\\\"INSERT INTO platforms(platform_id,name,platform_type,default_currency,created_at) VALUES('p1','True Wealth','broker','CHF','now')\\\")\\n conn.execute(\\\"INSERT INTO accounts(account_id,platform_id,account_name,account_type,currency,created_at) VALUES('a1','p1','Synthetic TW','brokerage','CHF','now')\\\")\\n conn.execute(\\\"INSERT INTO instruments(instrument_id,asset_class,name,ticker,isin,currency,created_at) VALUES('i1','ETF','Synthetic ETF','SETF','CH0000000001','USD','now')\\\")\\n conn.execute(\\\"\\\"\\\"\\n INSERT INTO broker_import_dry_runs(\\n dry_run_id, source_platform, source_file_type, detected_sections_json, quality_flags_json, created_at\\n ) VALUES('dry1','True Wealth','docx','{}','[]','now')\\n \\\"\\\"\\\")\\n conn.execute(\\\"\\\"\\\"\\n INSERT INTO broker_import_review_items(\\n review_item_id, dry_run_id, source_platform, source_file_type, source_row_ref, row_hash,\\n mapped_account_id, mapped_instrument_id, detected_quantity_present, quality_flags_json,\\n review_status, import_readiness_status, reviewer_confirmed, snapshot_date_confirmed, ticker_exchange_confirmed, account_mapping_status, created_at\\n ) VALUES('rev1','dry1','True Wealth','docx','row-1','hash-1','a1','i1',1,'[]','resolved','ready_for_import',1,1,1,'selected','now')\\n \\\"\\\"\\\")\\n payload = {\\n \\\"account_id\\\": \\\"a1\\\",\\n \\\"instrument_id\\\": \\\"i1\\\",\\n \\\"trade_date\\\": \\\"2025-12-31\\\",\\n \\\"quantity\\\": \\\"1.234500\\\",\\n \\\"currency_original\\\": \\\"USD\\\",\\n \\\"fx_status\\\": \\\"missing\\\",\\n }\\n conn.execute(\\\"\\\"\\\"\\n INSERT INTO broker_import_execution_plans(\\n execution_plan_id, dry_run_id, review_item_id, source_platform, target_account_id, target_instrument_id,\\n transaction_type, snapshot_date, payload_status, payload_quality_flags_json, source_row_hash,\\n planned_write_summary_json, execution_status, created_at\\n ) VALUES('plan1','dry1','rev1','True Wealth','a1','i1','initial_position_snapshot','2025-12-31','ready',?, 'hash-1', ?, 'planned','now')\\n \\\"\\\"\\\", (json.dumps([\\\"missing_fx\\\", \\\"cost_basis_uncertain\\\", \\\"snapshot_only\\\"]), json.dumps(payload)))\\n return conn\\n\\n\\ndef test_execution_plan_import_blocks_same_execution_plan_id_and_row_hash() -> None:\\n conn = setup_conn()\\n result = execute_initial_snapshot_plan(conn, execution_plan_id=\\\"plan1\\\", note=\\\"synthetic reviewed import\\\")\\n assert result.imported is True\\n tx = conn.execute(\\\"SELECT * FROM transactions WHERE transaction_id=?\\\", (result.transaction_id,)).fetchone()\\n assert tx[\\\"source_id\\\"] == \\\"plan1\\\"\\n assert tx[\\\"row_hash\\\"] == \\\"hash-1\\\"\\n assert tx[\\\"quality_status\\\"] == \\\"warning\\\"\\n assert Decimal(str(tx[\\\"quantity\\\"])) == Decimal(\\\"1.234500\\\")\\n\\n with pytest.raises(ValueError, match=\\\"already imported\\\"):\\n execute_initial_snapshot_plan(conn, execution_plan_id=\\\"plan1\\\", note=\\\"retry same plan\\\")\\n\\n conn.execute(\\\"\\\"\\\"\\n INSERT INTO broker_import_review_items(\\n review_item_id, dry_run_id, source_platform, source_file_type, source_row_ref, row_hash,\\n mapped_account_id, mapped_instrument_id, detected_quantity_present, quality_flags_json,\\n review_status, import_readiness_status, reviewer_confirmed, snapshot_date_confirmed, ticker_exchange_confirmed, account_mapping_status, created_at\\n ) VALUES('rev2','dry1','True Wealth','docx','row-1-copy','hash-1','a1','i1',1,'[]','resolved','ready_for_import',1,1,1,'selected','now')\\n \\\"\\\"\\\")\\n conn.execute(\\\"\\\"\\\"\\n INSERT INTO broker_import_execution_plans(\\n execution_plan_id, dry_run_id, review_item_id, source_platform, target_account_id, target_instrument_id,\\n transaction_type, snapshot_date, payload_status, payload_quality_flags_json, source_row_hash,\\n planned_write_summary_json, execution_status, created_at\\n ) VALUES('plan2','dry1','rev2','True Wealth','a1','i1','initial_position_snapshot','2025-12-31','ready','[]','hash-1', ?, 'planned','now')\\n \\\"\\\"\\\", (json.dumps({\\\"account_id\\\":\\\"a1\\\",\\\"instrument_id\\\":\\\"i1\\\",\\\"trade_date\\\":\\\"2025-12-31\\\",\\\"quantity\\\":\\\"2\\\",\\\"currency_original\\\":\\\"USD\\\",\\\"fx_status\\\":\\\"missing\\\"}),))\\n with pytest.raises(ValueError, match=\\\"row hash already imported|source row hash already imported|already imported\\\"):\\n execute_initial_snapshot_plan(conn, execution_plan_id=\\\"plan2\\\", note=\\\"retry same row\\\")\\n\\n\\ndef test_void_transaction_requires_note_audits_and_excludes_from_position() -> None:\\n conn = setup_conn()\\n result = execute_initial_snapshot_plan(conn, execution_plan_id=\\\"plan1\\\", note=\\\"synthetic reviewed import\\\")\\n assert calculate_positions(conn).positions[(\\\"a1\\\", \\\"i1\\\")].quantity == Decimal(\\\"1.234500\\\")\\n\\n with pytest.raises(ValueError, match=\\\"note\\\"):\\n void_transaction(conn, transaction_id=result.transaction_id, note=\\\"\\\")\\n\\n audit_id = void_transaction(conn, transaction_id=result.transaction_id, note=\\\"wrong source row\\\")\\n assert audit_id\\n assert conn.execute(\\\"SELECT is_voided FROM transactions WHERE transaction_id=?\\\", (result.transaction_id,)).fetchone()[\\\"is_voided\\\"] == 1\\n assert conn.execute(\\\"SELECT COUNT(*) AS n FROM audit_log WHERE action='void_transaction'\\\").fetchone()[\\\"n\\\"] == 1\\n assert conn.execute(\\\"SELECT COUNT(*) AS n FROM alerts WHERE rule_id='voided_transaction'\\\").fetchone()[\\\"n\\\"] == 1\\n assert (\\\"a1\\\", \\\"i1\\\") not in calculate_positions(conn).positions\\n\\n\\ndef test_correction_transaction_creates_audit_link() -> None:\\n conn = setup_conn()\\n result = execute_initial_snapshot_plan(conn, execution_plan_id=\\\"plan1\\\", note=\\\"synthetic reviewed import\\\")\\n conn.execute(\\\"\\\"\\\"\\n INSERT INTO transactions(transaction_id, transaction_type, account_id, instrument_id, trade_date, quantity, currency_original, fx_status, source_type, is_confirmed, quality_status, notes, created_at)\\n VALUES('tx-correction','initial_position_snapshot','a1','i1','2025-12-31','1.000000','USD','missing','manual_correction',1,'warning','synthetic correction','now')\\n \\\"\\\"\\\")\\n audit_id = record_correction_audit(conn, old_transaction_id=result.transaction_id, new_transaction_id=\\\"tx-correction\\\", note=\\\"replace initial snapshot\\\")\\n assert audit_id\\n row = conn.execute(\\\"SELECT correction_of_transaction_id FROM transactions WHERE transaction_id='tx-correction'\\\").fetchone()\\n assert row[\\\"correction_of_transaction_id\\\"] == result.transaction_id\\n assert conn.execute(\\\"SELECT COUNT(*) AS n FROM audit_log WHERE action='correction_transaction'\\\").fetchone()[\\\"n\\\"] == 1\\n\\n\\ndef test_missing_fx_initial_snapshot_stays_incomplete_without_fake_total_return() -> None:\\n conn = setup_conn()\\n execute_initial_snapshot_plan(conn, execution_plan_id=\\\"plan1\\\", note=\\\"synthetic reviewed import\\\")\\n pos = calculate_positions(conn).positions[(\\\"a1\\\", \\\"i1\\\")]\\n assert pos.data_quality_status == \\\"incomplete\\\"\\n assert \\\"missing_fx\\\" in pos.quality_warnings\\n assert \\\"missing_market_price\\\" in pos.quality_warnings\\n assert pos.total_return_chf is None\\n\"}" } } ] }, { "role": "tool", "name": "write_file", "content": "{\"bytes_written\": 7441, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_VAQiPV8IlwJ2lhsst2JbKEt7" }, { "role": "assistant", "content": "", "reasoning": "**Evaluating message handling**\n\nI'm considering whether I need to duplicate the message, since it seems like regex might not be matching correctly. I think it's important to check this out further. Maybe I'll back up the test just to be safe and add a restore mechanism to my test path. This way, if anything goes wrong, I can easily revert back and see what the issue might be. Let's keep it thorough!", "finish_reason": "tool_calls", "reasoning_content": "**Evaluating message handling**\n\nI'm considering whether I need to duplicate the message, since it seems like regex might not be matching correctly. I think it's important to check this out further. Maybe I'll back up the test just to be safe and add a restore mechanism to my test path. This way, if anything goes wrong, I can easily revert back and see what the issue might be. Let's keep it thorough!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvmJATOoOafueqfReSj6YKAatHDVigEKgbSmxwOl2OM5hrRr6qJzKs_YQPDQRxmdxU0RfuVXYRRTKvxGAzUG0c0t0ViDT1pnefTyyVERQGxeEyiKvaxiCWlHATEBtRMRWIa1MW_1EzJ_Qv_JOjg4Y9pIMoZx1ahO8jkQLx3r3woTrmL5foJVvt8MIKlBJt5Q1cYTurwOe3iyU3Gq-OPYfSIw0TyIGpTe1DDvd08ha9POvOovalQDdwuruoiIXgc0FGTULBzqiI9LcTiXTL0zZU0RQ0xT4Zq_6O9LHQYkKu2mkB4yZWkDy13RMGSDc8yR1bpU4WGh4AAjLpf9qOYhIVhi3fHS66o0WxF3cpiw932_1GF2eI7O-GacCcBmPe6kMwt2QWP5JOBZ0JhfRdJiyRHf_pF8SoyvPoXdv8ncoadaZSRD253GC_vugWAlGS03R9d46QI0xCd3X3A7Kv71S2McNMZ4DP89J6XapOs2OlJwhvV9Ct9HmmAbgNC3_5m4fBQDTiRmbEVo6uKOLKZRqeNBJ1nJqvDQDtUYfaFF87iFqLd40d5IEKKJGb2Zrs8jQx0u52fhlcJQWvWDE85k-CjSxP_7N0jUtVpGapRzLQMgw79wF07-3E4h78DKttsxmySOphPT5-Oe8W1hljZWqrwnkoPHqTs8qmIFgLgiGyXU4aBeOG2dz8p0O4eKrAYeyaH3FRzLXV2x84kGzjRZegdIZ85Gwn704V85NHygqC-ZlawGXm5AGcZIPNjfYVLHs0-RkebJdIUIBGP06Q2UB5SaB5WqUWNgOlz_rtsdCp0KwjzK70KnrsW1Lql6CIQk6gccu_3ewf1AqdF_IwTG9aXDhJbhCcyv1ruHqTh6O3Yi_1gXvKMxRK-Uvl8CSh9ABMsUevTqVKO33emRzceQU4eb0WbJG-OtlAi0aCEQudXHjrH_S7pkR8uoV_DfzHl30kEpq4cwNfqo0mRtpRRRhnKtrk9zGBqB8zkMmKb2dckgqvtUXwti7weUThNAkVNJnmtCeExFY-hSvgSqMLwHLdt4hw==", "id": "rs_0c76e56576ffc0fb016a06f986578c8191b5b0d496d1041fcf", "summary": [ { "type": "summary_text", "text": "**Evaluating message handling**\n\nI'm considering whether I need to duplicate the message, since it seems like regex might not be matching correctly. I think it's important to check this out further. Maybe I'll back up the test just to be safe and add a restore mechanism to my test path. This way, if anything goes wrong, I can easily revert back and see what the issue might be. Let's keep it thorough!" } ] } ], "tool_calls": [ { "id": "call_yTAkEe9K5QnUcsJlDTUEqN4Q", "call_id": "call_yTAkEe9K5QnUcsJlDTUEqN4Q", "response_item_id": "fc_0c76e56576ffc0fb016a06f9890ba48191ab07bc7611420776", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"old_string\":\"def test_restore_runtime_db_requires_yes_and_restores_test_db(tmp_path: Path) -> None:\\n repo = tmp_path / \\\"repo\\\"\\n repo.mkdir()\\n runtime = tmp_path / \\\"runtime\\\"\\n db = runtime / \\\"data\\\" / \\\"finance.sqlite3\\\"\\n _seed_db(db, marker=\\\"before\\\")\\n backup = backup_runtime_db(db_path=db, backups_dir=runtime / \\\"backups\\\", repo_root=repo)\\n\\n conn = connect(db)\\n conn.execute(\\\"DELETE FROM crypto_assets\\\")\\n conn.commit()\\n conn.close()\\n\\n with pytest.raises(PermissionError):\\n restore_runtime_db(backup_file=backup.backup_file, db_path=db, repo_root=repo, yes=False)\\n\\n result = restore_runtime_db(backup_file=backup.backup_file, db_path=db, repo_root=repo, yes=True)\\n assert result.verified is True\\n conn = connect(db)\\n count = conn.execute(\\\"SELECT COUNT(*) AS n FROM crypto_assets\\\").fetchone()[\\\"n\\\"]\\n conn.close()\\n assert count == 1\\n\",\"new_string\":\"def test_restore_runtime_db_requires_yes_and_restores_test_db(tmp_path: Path) -> None:\\n repo = tmp_path / \\\"repo\\\"\\n repo.mkdir()\\n runtime = tmp_path / \\\"runtime\\\"\\n db = runtime / \\\"data\\\" / \\\"finance.sqlite3\\\"\\n _seed_db(db, marker=\\\"before\\\")\\n backup = backup_runtime_db(db_path=db, backups_dir=runtime / \\\"backups\\\", repo_root=repo)\\n\\n conn = connect(db)\\n conn.execute(\\\"DELETE FROM crypto_assets\\\")\\n conn.commit()\\n conn.close()\\n\\n with pytest.raises(PermissionError):\\n restore_runtime_db(backup_file=backup.backup_file, db_path=db, repo_root=repo, yes=False)\\n\\n result = restore_runtime_db(backup_file=backup.backup_file, db_path=db, repo_root=repo, yes=True)\\n assert result.verified is True\\n conn = connect(db)\\n count = conn.execute(\\\"SELECT COUNT(*) AS n FROM crypto_assets\\\").fetchone()[\\\"n\\\"]\\n conn.close()\\n assert count == 1\\n\\n\\ndef test_restore_backup_to_separate_test_db_does_not_modify_productive_db(tmp_path: Path) -> None:\\n repo = tmp_path / \\\"repo\\\"\\n repo.mkdir()\\n runtime = tmp_path / \\\"runtime\\\"\\n productive_db = runtime / \\\"data\\\" / \\\"finance.sqlite3\\\"\\n restore_db = runtime / \\\"restore-tests\\\" / \\\"finance-restored.sqlite3\\\"\\n _seed_db(productive_db, marker=\\\"prod\\\")\\n backup = backup_runtime_db(db_path=productive_db, backups_dir=runtime / \\\"backups\\\", repo_root=repo)\\n\\n conn = connect(productive_db)\\n create_crypto_asset(conn, coin_name=\\\"Synthetic After Backup\\\", symbol=\\\"AFTER\\\", coingecko_id=\\\"synthetic-after\\\")\\n conn.close()\\n\\n result = restore_runtime_db(backup_file=backup.backup_file, db_path=restore_db, repo_root=repo, yes=True)\\n assert result.restored_to == restore_db.resolve()\\n\\n prod_conn = connect(productive_db)\\n restored_conn = connect(restore_db)\\n prod_count = prod_conn.execute(\\\"SELECT COUNT(*) AS n FROM crypto_assets\\\").fetchone()[\\\"n\\\"]\\n restored_count = restored_conn.execute(\\\"SELECT COUNT(*) AS n FROM crypto_assets\\\").fetchone()[\\\"n\\\"]\\n prod_conn.close()\\n restored_conn.close()\\n assert prod_count == 2\\n assert restored_count == 1\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_runtime_backup.py\"}" } } ] }, { "role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_runtime_backup.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_runtime_backup.py\\n@@ -76,6 +76,32 @@\\n assert count == 1\\n \\n \\n+def test_restore_backup_to_separate_test_db_does_not_modify_productive_db(tmp_path: Path) -> None:\\n+ repo = tmp_path / \\\"repo\\\"\\n+ repo.mkdir()\\n+ runtime = tmp_path / \\\"runtime\\\"\\n+ productive_db = runtime / \\\"data\\\" / \\\"finance.sqlite3\\\"\\n+ restore_db = runtime / \\\"restore-tests\\\" / \\\"finance-restored.sqlite3\\\"\\n+ _seed_db(productive_db, marker=\\\"prod\\\")\\n+ backup = backup_runtime_db(db_path=productive_db, backups_dir=runtime / \\\"backups\\\", repo_root=repo)\\n+\\n+ conn = connect(productive_db)\\n+ create_crypto_asset(conn, coin_name=\\\"Synthetic After Backup\\\", symbol=\\\"AFTER\\\", coingecko_id=\\\"synthetic-after\\\")\\n+ conn.close()\\n+\\n+ result = restore_runtime_db(backup_file=backup.backup_file, db_path=restore_db, repo_root=repo, yes=True)\\n+ assert result.restored_to == restore_db.resolve()\\n+\\n+ prod_conn = connect(productive_db)\\n+ restored_conn = connect(restore_db)\\n+ prod_count = prod_conn.execute(\\\"SELECT COUNT(*) AS n FROM crypto_assets\\\").fetchone()[\\\"n\\\"]\\n+ restored_count = restored_conn.execute(\\\"SELECT COUNT(*) AS n FROM crypto_assets\\\").fetchone()[\\\"n\\\"]\\n+ prod_conn.close()\\n+ restored_conn.close()\\n+ assert prod_count == 2\\n+ assert restored_count == 1\\n+\\n+\\n def test_backup_cli_verify_and_restore(monkeypatch, tmp_path: Path, capsys) -> None:\\n runtime = tmp_path / \\\"runtime\\\"\\n monkeypatch.setenv(\\\"JARVIS_FINANCE_RUNTIME_DIR\\\", str(runtime))\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_runtime_backup.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_yTAkEe9K5QnUcsJlDTUEqN4Q" }, { "role": "assistant", "content": "", "reasoning": "**Running tests and updates**\n\nI need to run some tests and also think about updating the REQUIRED_TABLES. I'm considering whether the broker_execution table is really necessary. It exists, but maybe it's not required? I guess it's fine to keep it for now. I’ll target the tests I want to run to make sure everything works as expected. It feels a little complex, but I’ll sort it out step by step!", "finish_reason": "tool_calls", "reasoning_content": "**Running tests and updates**\n\nI need to run some tests and also think about updating the REQUIRED_TABLES. I'm considering whether the broker_execution table is really necessary. It exists, but maybe it's not required? I guess it's fine to keep it for now. I’ll target the tests I want to run to make sure everything works as expected. It feels a little complex, but I’ll sort it out step by step!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvmlWDOiLiF92-6OkPSlotfMm3UX7whJ1bnRNbxiL945u8fS6v-JobEukhjIvGFRnyvkysW58IEOx9RIyzfii-Ug28NM2ykZeuOWNkD_C1FuMItn1zPNhEdvMvkwAY9GxVQpUMUKeUvFlWmziYcxalyF_VfLUH94SmXhx7ISjKR1QohQiLovU_1O0e0_TIZk37ytMstkhcLymcO2RMBNkeMCanLxeusTLui12ErolE2GaqUUt4lNsQ7LvM9vYTZY7-FwZ90cDwInnGXq9nVb3--6KV8CuhrUM1RvUNPwqdfM-W_Skb9Cd4wndi1sdls4WWSbOtfSg-axEMeQ8LhmiZb5o3XO5--xiKi-1hpxJjdxxTj1uUapT-fgy9UAxDC8rZy7KntslwmEie8zvbt432r1Mgs8ARW-sbmfyfgql7XdDB4ClRmEEiReGj7tfWYBDkuSV3g71KC2EYeGRZJ_hAbtNpXdD5MMp5IqGR9IX7_NeKjOwbyv9-aGqgMW39hD_3RO2X3cFJTfdCjhT5Xj6hm44fBBwFoRHLweLAGQpRWS_udYOP1EYMPViYxR7GvyBv6y_SgztbJXyBoMHwgNmqXypl39nBkKpjbvFbo_VQmntyak2BhFT91sb8ysu8Fg_g7l5Xf7ETvB1MqWuG84ir8mlktrXguz47DAd5BDHOnZqjStKy8ruIiEZOBYxirfbfsg4OnvgloKYZZvBCp2AHGq7oQU5oEmBCtcqgF3wQ0-YNXOcZ3bOEWDdJvfCbjgnYmVjtwWhQ00vFUAJJzF1ktuQiMx4RYm5g9PBarTHykr90RFYYwp8NvHwENTBypcTuquo9tuStfo_yMnVUVpYfZosSNPepSCZpnGKensZAkUtU6qM6Rp9NMBe0kwIdLCyKOussomJ_qe_KsEz_Nlvheb_sL2JfuiSc23PJyJmCX32dkwti2k3wbehmUwSOAxt4xNCY8VePlPGzbUGzLduyqLAkGWChOYH_Rnk9TFHpNm5RIqZ-8nIlsCYpY2r5i-HavKoHBOEWMVyO9sX0iqkCqXab9_1E2EdyvzAib97Gx5anYKL3VpY5RYZxj7sgKsbWuF", "id": "rs_0c76e56576ffc0fb016a06f9a16f748191837f634e4a203138", "summary": [ { "type": "summary_text", "text": "**Running tests and updates**\n\nI need to run some tests and also think about updating the REQUIRED_TABLES. I'm considering whether the broker_execution table is really necessary. It exists, but maybe it's not required? I guess it's fine to keep it for now. I’ll target the tests I want to run to make sure everything works as expected. It feels a little complex, but I’ll sort it out step by step!" } ] } ], "tool_calls": [ { "id": "call_OQbV3lOx1Uzvo9GBf2NMBilN", "call_id": "call_OQbV3lOx1Uzvo9GBf2NMBilN", "response_item_id": "fc_0c76e56576ffc0fb016a06f9a5793081919e69e557cea81922", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src pytest -q tests/unit/test_schema.py tests/unit/test_import_execution_and_corrections.py tests/unit/test_runtime_backup.py tests/unit/test_ledger_cash_wac_positions.py\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"....F................ [100%]\\n=================================== FAILURES ===================================\\n____ test_execution_plan_import_blocks_same_execution_plan_id_and_row_hash _____\\n\\n def test_execution_plan_import_blocks_same_execution_plan_id_and_row_hash() -> None:\\n conn = setup_conn()\\n result = execute_initial_snapshot_plan(conn, execution_plan_id=\\\"plan1\\\", note=\\\"synthetic reviewed import\\\")\\n assert result.imported is True\\n tx = conn.execute(\\\"SELECT * FROM transactions WHERE transaction_id=?\\\", (result.transaction_id,)).fetchone()\\n assert tx[\\\"source_id\\\"] == \\\"plan1\\\"\\n assert tx[\\\"row_hash\\\"] == \\\"hash-1\\\"\\n assert tx[\\\"quality_status\\\"] == \\\"warning\\\"\\n assert Decimal(str(tx[\\\"quantity\\\"])) == Decimal(\\\"1.234500\\\")\\n \\n with pytest.raises(ValueError, match=\\\"already imported\\\"):\\n execute_initial_snapshot_plan(conn, execution_plan_id=\\\"plan1\\\", note=\\\"retry same plan\\\")\\n \\n conn.execute(\\\"\\\"\\\"\\n INSERT INTO broker_import_review_items(\\n review_item_id, dry_run_id, source_platform, source_file_type, source_row_ref, row_hash,\\n mapped_account_id, mapped_instrument_id, detected_quantity_present, quality_flags_json,\\n review_status, import_readiness_status, reviewer_confirmed, snapshot_date_confirmed, ticker_exchange_confirmed, account_mapping_status, created_at\\n ) VALUES('rev2','dry1','True Wealth','docx','row-1-copy','hash-1','a1','i1',1,'[]','resolved','ready_for_import',1,1,1,'selected','now')\\n \\\"\\\"\\\")\\n> conn.execute(\\\"\\\"\\\"\\n INSERT INTO broker_import_execution_plans(\\n execution_plan_id, dry_run_id, review_item_id, source_platform, target_account_id, target_instrument_id,\\n transaction_type, snapshot_date, payload_status, payload_quality_flags_json, source_row_hash,\\n planned_write_summary_json, execution_status, created_at\\n ) VALUES('plan2','dry1','rev2','True Wealth','a1','i1','initial_position_snapshot','2025-12-31','ready','[]','hash-1', ?, 'planned','now')\\n \\\"\\\"\\\", (json.dumps({\\\"account_id\\\":\\\"a1\\\",\\\"instrument_id\\\":\\\"i1\\\",\\\"trade_date\\\":\\\"2025-12-31\\\",\\\"quantity\\\":\\\"2\\\",\\\"currency_original\\\":\\\"USD\\\",\\\"fx_status\\\":\\\"missing\\\"}),))\\nE sqlite3.IntegrityError: UNIQUE constraint failed: broker_import_execution_plans.source_row_hash, broker_import_execution_plans.target_account_id, broker_import_execution_plans.target_instrument_id, broker_import_execution_plans.transaction_type\\n\\ntests/unit/test_import_execution_and_corrections.py:71: IntegrityError\\n=========================== short test summary info ============================\\nFAILED tests/unit/test_import_execution_and_corrections.py::test_execution_plan_import_blocks_same_execution_plan_id_and_row_hash\\n1 failed, 20 passed in 4.54s\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_OQbV3lOx1Uzvo9GBf2NMBilN" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvmva6bManjMb65Xk_ljg4cazVfPivT5MuQ45YsWWEDkYZ0y1uX3yLUdb7ikYZjjxYWie8XFpt71V-j-qPMOil8dfHQYKEzXbyA_utew5CZZfsl7TNtNRItokuRxXzamUTaG7-uqk1Zi_ADBTBgYfATM37Ly2N21OsTOEj1UeCQQNRB2DWmK9khq5XWodXKm9bS25dCQPoMvpMQdATnUG4AWyHC_v-CbIu1CmPKh22t8B82lzNRd777xg1c5GNhgssu4L9Uln01DQGwvFQnAOsZ1DZMUamZ7Bm0TqLUzYoqzk-panUPPmWBcV57WUtl8LiUbRK7JioLjRyM-_HR0kCCXkDZXGTzd55imL53RJdfXuvCE9ac5XenzWTFsFgs2mX5-j15NTMFR2rYtZBPjy-pV1V2gR2jzXP0e9huikICSGJ6xrfvcs0Om9fozgJw5SfxLfuwy7j25XSmeFTL_JFP8t5NyBhKNxLtqyuNbKtrh47YH2rGQQpsTjtvzYr3hg134os83O8bmVoAkg13cwcj8x9190MObBExPRyW2MUWAVlXWYR_FSLLlhmtSCBL9I-pqXU6pqsFuaMH05e5VLZRfyW1M3MW34FyzDLpxCsnvmUe4uLAiylTqPBG1UtsrCB1RnCohtyacX2Ow29ZD2FSK2aolxYgk1knz2EEjNZ0z93yvZcOxe7xwrfjC2U03Fm7zF87-Ow7r5xqkgpe5_KAusXJ9qJc7VV4iGKWFyni5j-rklmeHwrEZN2i6BLfxDrFM00kZjhWhpdO5d_UsMbgl7hiRn5z3_889zKK87ZfXQm2W51ZRNXjDJghJX6kWHxeBAmAcupOWMuYrNIxWwhsBL3rgCT4GSJGZwdMbLYrkBCQY_wwXGRTDiqF5B_Kdi6IU2ADGPzGhDUY_jK6bDgiSvMb3uluh8gMI14pBxZT24SZ74O7UbNOtYcnC_osY4wejJoNFalMTKIWAUPXKz0d2yHbS0YJuwMf4Z7Dk28rTPcQBHLBdr0nnj1XSxsvLRit4pM1TPYxm80D5_Wmzbzh5hENdt48mK8rZGmmymCm1jA_IZZDyhxkytZIFCUJJypPlmWcs1A1iFkjwGgtESvAmRwBFEalfZMf4AbhMaFTreWym-wA_o6ss2vjG2eLkvh-IFAfw6HuS0IHf1SV_3YijC3TkaHYN-MtpCrtTZXeP_iU9u5QcStwAF81AFeuzuZBR959mku0yc4uiFHBQenzY7Iy2GPN8gNaQvGD99ZNmjP_WE7SVj0KP1SBtINL8Rckr0F0nu3yfSZgHG3qH_yLrsCzxSB_2O3Ox28sRcm9kRsQa5Bgf-YcodafyGzjs5wMGMeOLNhNdyLsRMIUUzyD2TEyXH7QjOdmNflfxcgyHe93uD5A9JZNOmfjeUvsG3VAxyg7v__o7SORRWYyzJ9r9pOLaPy03AYG42sqkG6aDqi23iNr1unHbc7oFoHTuXfWpxGvRC2HCHVIbACtcsJqZ3A-CZF4YnsaB1Olwg6JFNK5xPu_18VJq488Lfj7vybVC", "id": "rs_0c76e56576ffc0fb016a06f9aded9c8191bf50be7c926e5ca8", "summary": [] } ], "tool_calls": [ { "id": "call_9OLFC1BhdaRA7L10SfgdEP9J", "call_id": "call_9OLFC1BhdaRA7L10SfgdEP9J", "response_item_id": "fc_0c76e56576ffc0fb016a06f9afec788191992aab2e48322d49", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" conn.execute(\\\"INSERT INTO instruments(instrument_id,asset_class,name,ticker,isin,currency,created_at) VALUES('i2','ETF','Synthetic ETF 2','SET2','CH0000000002','USD','now')\\\")\\n conn.execute(\\\"\\\"\\\"\\n INSERT INTO broker_import_execution_plans(\\n execution_plan_id, dry_run_id, review_item_id, source_platform, target_account_id, target_instrument_id,\\n transaction_type, snapshot_date, payload_status, payload_quality_flags_json, source_row_hash,\\n planned_write_summary_json, execution_status, created_at\\n ) VALUES('plan2','dry1','rev2','True Wealth','a1','i2','initial_position_snapshot','2025-12-31','ready','[]','hash-1', ?, 'planned','now')\\n \\\"\\\"\\\", (json.dumps({\\\"account_id\\\":\\\"a1\\\",\\\"instrument_id\\\":\\\"i2\\\",\\\"trade_date\\\":\\\"2025-12-31\\\",\\\"quantity\\\":\\\"2\\\",\\\"currency_original\\\":\\\"USD\\\",\\\"fx_status\\\":\\\"missing\\\"}),))\",\"old_string\":\" conn.execute(\\\"\\\"\\\"\\n INSERT INTO broker_import_execution_plans(\\n execution_plan_id, dry_run_id, review_item_id, source_platform, target_account_id, target_instrument_id,\\n transaction_type, snapshot_date, payload_status, payload_quality_flags_json, source_row_hash,\\n planned_write_summary_json, execution_status, created_at\\n ) VALUES('plan2','dry1','rev2','True Wealth','a1','i1','initial_position_snapshot','2025-12-31','ready','[]','hash-1', ?, 'planned','now')\\n \\\"\\\"\\\", (json.dumps({\\\"account_id\\\":\\\"a1\\\",\\\"instrument_id\\\":\\\"i1\\\",\\\"trade_date\\\":\\\"2025-12-31\\\",\\\"quantity\\\":\\\"2\\\",\\\"currency_original\\\":\\\"USD\\\",\\\"fx_status\\\":\\\"missing\\\"}),))\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_import_execution_and_corrections.py\"}" } } ] }, { "role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_import_execution_and_corrections.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_import_execution_and_corrections.py\\n@@ -68,13 +68,14 @@\\n review_status, import_readiness_status, reviewer_confirmed, snapshot_date_confirmed, ticker_exchange_confirmed, account_mapping_status, created_at\\n ) VALUES('rev2','dry1','True Wealth','docx','row-1-copy','hash-1','a1','i1',1,'[]','resolved','ready_for_import',1,1,1,'selected','now')\\n \\\"\\\"\\\")\\n+ conn.execute(\\\"INSERT INTO instruments(instrument_id,asset_class,name,ticker,isin,currency,created_at) VALUES('i2','ETF','Synthetic ETF 2','SET2','CH0000000002','USD','now')\\\")\\n conn.execute(\\\"\\\"\\\"\\n INSERT INTO broker_import_execution_plans(\\n execution_plan_id, dry_run_id, review_item_id, source_platform, target_account_id, target_instrument_id,\\n transaction_type, snapshot_date, payload_status, payload_quality_flags_json, source_row_hash,\\n planned_write_summary_json, execution_status, created_at\\n- ) VALUES('plan2','dry1','rev2','True Wealth','a1','i1','initial_position_snapshot','2025-12-31','ready','[]','hash-1', ?, 'planned','now')\\n- \\\"\\\"\\\", (json.dumps({\\\"account_id\\\":\\\"a1\\\",\\\"instrument_id\\\":\\\"i1\\\",\\\"trade_date\\\":\\\"2025-12-31\\\",\\\"quantity\\\":\\\"2\\\",\\\"currency_original\\\":\\\"USD\\\",\\\"fx_status\\\":\\\"missing\\\"}),))\\n+ ) VALUES('plan2','dry1','rev2','True Wealth','a1','i2','initial_position_snapshot','2025-12-31','ready','[]','hash-1', ?, 'planned','now')\\n+ \\\"\\\"\\\", (json.dumps({\\\"account_id\\\":\\\"a1\\\",\\\"instrument_id\\\":\\\"i2\\\",\\\"trade_date\\\":\\\"2025-12-31\\\",\\\"quantity\\\":\\\"2\\\",\\\"currency_original\\\":\\\"USD\\\",\\\"fx_status\\\":\\\"missing\\\"}),))\\n with pytest.raises(ValueError, match=\\\"row hash already imported|source row hash already imported|already imported\\\"):\\n execute_initial_snapshot_plan(conn, execution_plan_id=\\\"plan2\\\", note=\\\"retry same row\\\")\\n \\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_import_execution_and_corrections.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_9OLFC1BhdaRA7L10SfgdEP9J" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_Yu1t6KBIB3hlQJeTXaIS5WmP", "call_id": "call_Yu1t6KBIB3hlQJeTXaIS5WmP", "response_item_id": "fc_0c76e56576ffc0fb016a06f9bc56f08191995579ee7e2398e6", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src pytest -q tests/unit/test_schema.py tests/unit/test_import_execution_and_corrections.py tests/unit/test_runtime_backup.py tests/unit/test_ledger_cash_wac_positions.py\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"..................... [100%]\\n21 passed in 4.26s\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_Yu1t6KBIB3hlQJeTXaIS5WmP" }, { "role": "assistant", "content": "", "reasoning": "**Planning the migration steps**\n\nI’m considering the process for applying migrations after updating the code. First, I need to run regression tests and back up the system before restoring it. There’s also an optional second mini-import that I might need to do. But before that, I really should evaluate if I need a new service or if I could just use the existing plan. It definitely seems like migrating the runtime is essential to get everything set up properly!", "finish_reason": "tool_calls", "reasoning_content": "**Planning the migration steps**\n\nI’m considering the process for applying migrations after updating the code. First, I need to run regression tests and back up the system before restoring it. There’s also an optional second mini-import that I might need to do. But before that, I really should evaluate if I need a new service or if I could just use the existing plan. It definitely seems like migrating the runtime is essential to get everything set up properly!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvnIeUb3mIYQe9REcbUVEISvdkMUjuitU7wtjd6Y5MLzpFropl55niNmhVL580sD6J1TlFIQlN0JqSaSkmXD8P2kijE3wJAitZibUnUUA9kRBuKg42NlAaPYlmbVjkCK6nS8oY8_ZBtkdDSv95ofzn5LyGuGslJH6cnmdwkArlJmw1SnGyowyeaAfC_0KMcOmAsHHpqV5YhcBh6hrfngD6Vhj3TXlWN5_5IkJs_VFDz1-2RrSqEOcDPwGzfXDHdI35blycN6pCCWMQF_007T7UrR3CgK2WBpXUL3j-fpbDb75aBPmoxBSv8gr7ccq1CH707-Gh7bItqiqzlwv-K_U1d_c8hBjNzuhetR6bnK_3LqsuHZ_2FqvtUISAWmemBp8g55oPm14kAG06ho-ExbLFBfIMn9shpwMRpNypP_ein79oh6jr8gzCzAuMR9RVIaSl-WuMlmtXF6me8cbalh6ZKY5r7f6S2OYNNPXqlQBkqmOgIZxALCzjoi6UnRKrTi8ahb_OQpYXcDTaTVGY5Edj1jjZMXA2Ic8swnZ8nixuuziUFw8dMU999PJ6YWtrOXLeoz0PZNPSuxcVMZWaCXps97tKnFKUQJb2y2gay91xClWhGJaTE20AD-gbEGdzHrEuTNvX2sHIIvYYiFPIEuFGp8TobNiZB55gjSuABB-wG0gT8njOnp96-JalmDdmttw1kvb1Op18JCwm4Wl9Q2GUR13I1rR3ax2yMhbVd5RiaSAORjV_-EnNqTP5XS6rqWVQmW_p7m4by1hZoDhQKspBakJmmZU7EPM5OillSnfsR9Mk02_ASJjg292cWH3ZLDIZWbv5AS0p1_kl0X0EYMHt5gyN4w53KbiJT9Lhuwc_ixSqJB4yjZQsuhrNj7Ugn0z5Exit917v44S_AkDkNby2RIBxUZNP-pL3XzMmmV6lZm8VW0SNrVDiz1HPg9vkAsTHg3Lv6bsWuclFJqpDEg01XTZM-J-9Vto-OIwaARyUQ4Gq9gSz5QrCBg7CfmEehWRncEMb9640jl2x33MUY4CpISwQ94VTER7qWJ_JQWCcKrD2SAQR1dBwE7vN88yPMdBxKvbyPuuk547n0VGdI2uY6eXtzuIdmU-X209CO6WAYzkGSRZT_1DbUv_sbMVYqJhhKMO4eztBldNUDwiFf2XGbT8w==", "id": "rs_0c76e56576ffc0fb016a06f9c5c3488191a876808c54d5dce8", "summary": [ { "type": "summary_text", "text": "**Planning the migration steps**\n\nI’m considering the process for applying migrations after updating the code. First, I need to run regression tests and back up the system before restoring it. There’s also an optional second mini-import that I might need to do. But before that, I really should evaluate if I need a new service or if I could just use the existing plan. It definitely seems like migrating the runtime is essential to get everything set up properly!" } ] } ], "tool_calls": [ { "id": "call_B40EjgoLcyoHoC8gFfvPUyLE", "call_id": "call_B40EjgoLcyoHoC8gFfvPUyLE", "response_item_id": "fc_0c76e56576ffc0fb016a06f9c8d60c819191d81b6624801457", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Import Regression und Position/Data Quality Check aggregiert prüfen\",\"id\":\"b6c-1\",\"status\":\"completed\"},{\"content\":\"Safe Correction/Void Datenmodell+Service+Tests implementieren\",\"id\":\"b6c-2\",\"status\":\"completed\"},{\"content\":\"Backup/Restore Regression auf Test-DB prüfen\",\"id\":\"b6c-3\",\"status\":\"in_progress\"}]}" } } ] }, { "role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"b6c-1\", \"content\": \"Import Regression und Position/Data Quality Check aggregiert prüfen\", \"status\": \"completed\"}, {\"id\": \"b6c-2\", \"content\": \"Safe Correction/Void Datenmodell+Service+Tests implementieren\", \"status\": \"completed\"}, {\"id\": \"b6c-3\", \"content\": \"Backup/Restore Regression auf Test-DB prüfen\", \"status\": \"in_progress\"}, {\"id\": \"b6c-4\", \"content\": \"Optional zweiten Mini-Import genau 1 Item nach Regression durchführen\", \"status\": \"pending\"}, {\"id\": \"b6c-5\", \"content\": \"Compile/pytest/Git-Safety/Git Status, commit+push bei Codeänderungen\", \"status\": \"pending\"}], \"summary\": {\"total\": 5, \"pending\": 2, \"in_progress\": 1, \"completed\": 2, \"cancelled\": 0}}", "tool_call_id": "call_B40EjgoLcyoHoC8gFfvPUyLE" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_xOQimgiwogxzHEKYKy9JhORj", "call_id": "call_xOQimgiwogxzHEKYKy9JhORj", "response_item_id": "fc_0c76e56576ffc0fb016a06f9cc80948191aa3eaaddc57b77bb", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python -m jarvis_finance.cli.main migrate\\n# backup current runtime and restore to separate temp runtime test DB only\\nPYTHONPATH=src python -m jarvis_finance.cli.main backup-runtime-db > /tmp/b6c_backup_out.txt\\npython - <<'PY'\\nimport re, subprocess, json, tempfile\\nfrom pathlib import Path\\ntext=Path('/tmp/b6c_backup_out.txt').read_text()\\nm=re.search(r'backup_file=([^\\\\s]+)', text)\\nif not m:\\n raise SystemExit('backup_file not found')\\nbackup=Path(m.group(1)).resolve()\\nrepo=Path('/home/agent/.hermes/repos/FinanceManager')\\nrestore_db=Path('/home/agent/jarvis_runtime/finance-system/restore-tests/b6c-restore-test.sqlite3').resolve()\\nrestore_db.unlink(missing_ok=True)\\nverify=subprocess.run(['python','-m','jarvis_finance.cli.main','verify-backup','--file',str(backup)], cwd=repo, env={**__import__('os').environ,'PYTHONPATH':'src'}, text=True, capture_output=True, check=True)\\nfrom jarvis_finance.runtime.backup import restore_runtime_db\\nres=restore_runtime_db(backup_file=backup, db_path=restore_db, repo_root=repo, yes=True)\\nprod_db=Path('/home/agent/jarvis_runtime/finance-system/data/finance.sqlite3').resolve()\\nprint(json.dumps({'backup_created':backup.exists(), 'backup_dir': str(backup.parent), 'verify_checksum_ok': 'checksum_ok=true' in verify.stdout, 'restore_test_db_exists': restore_db.exists(), 'restore_is_separate_from_prod': restore_db != prod_db, 'restore_verified': res.verified}, sort_keys=True))\\nPY\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"SCHEMA_VERSION=8\\nTraceback (most recent call last):\\n File \\\"\\\", line 12, in \\nModuleNotFoundError: No module named 'jarvis_finance'\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_xOQimgiwogxzHEKYKy9JhORj" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvnZrd_ej-AqdMFI7rCXugt6NIDNQEyU6VLVKB0IMkZz7pisxN2hBIbzD3eWPcovURJqh23I9TxKQd3kxo0MxU7yy0LyEVqPXsfIM_gsizPFxbUN4G2t8sBISgE7y94HQ7-YIWJP1HbCjQIK9RSlHipnPWzZcpelRD1JukwdR1NurZwpdcqp2HJSgsGlOeZjrhQQiOZ8gKVJQi3XiXk8tkYIAXwMMp-R1t3uw6WBh88_gkR3TMrXAMmypigI44TqWK8h-tNP3tQpqBrBKlFVg1-EAevbZPE4LkW1n619IFfzXav63DYPKn8NX4shvHSrtQY1ZX9TN2rQrkjUHqUdjr48aNAh9xAmCYvYiqLaMSn2ow8YASOorH6oU18tyQp7Dc6_QabDqfB4NGnPuYfC9a2awFpQLNRh7Xn7Ja0yJjLcde_j6-ziX-Jx2RbatwH1F4LiELeFuZl2wfLaQ7Ztz7zucr-Cx5HCJN8u00CuBUUIs0HtHzJZSvyopaSTpQr38GzsVyHmDlJQ9z10cpgb3I6v_N3JKkWuPQ9HyiVFf3FjNVhbauJPlFLQbFvoPKjxodwqx4rzRoQDxHRVnvcuBuAs4AksN3E2XwYtmUWGXf99rT1NmwXP7ETXK8kaRoM6iAP2nrIj_UpgR7rzTpEHhY9HbKtPyyXu8Tx6A-Wtw-0DwFBjOrKC4de1U6sh0bh_VvY-sjv32xFcj_S0EeTVbl2DdBA9_0V9QubIjri1uc0xWbGAzHmsV9-OqoPoy6D6cjlsZ45h98uni5pAF_PjUlg_UHMQbHfO9tcuC-7k_qIUiMY0TvcN3u7MLbIg9def3sF2QH78UHJIVbnOsKKmlUsXbr2ZjbkUanK9K7qgXeuib0qD_ZAdOjcEIqeAz9RKJAexQ-_YbYQBLEYTy6cXhvfJfFDVC4yeUS3pqzDkMMCfrumhm32d8tnA7g2uIWwauPrLIKzdokJCu0S4K4QgevGj1A==", "id": "rs_0c76e56576ffc0fb016a06f9d8b4048191a7efaaed529266c9", "summary": [] } ], "tool_calls": [ { "id": "call_5FFea6qY0WQc8joIEaJYsgjf", "call_id": "call_5FFea6qY0WQc8joIEaJYsgjf", "response_item_id": "fc_0c76e56576ffc0fb016a06f9d962688191b7ce6492cfa4ee38", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python - <<'PY'\\nimport re, subprocess, json, os\\nfrom pathlib import Path\\nfrom jarvis_finance.runtime.backup import restore_runtime_db\\ntext=Path('/tmp/b6c_backup_out.txt').read_text()\\nm=re.search(r'backup_file=([^\\\\s]+)', text)\\nif not m:\\n raise SystemExit('backup_file not found')\\nbackup=Path(m.group(1)).resolve()\\nrepo=Path('/home/agent/.hermes/repos/FinanceManager')\\nrestore_db=Path('/home/agent/jarvis_runtime/finance-system/restore-tests/b6c-restore-test.sqlite3').resolve()\\nrestore_db.unlink(missing_ok=True)\\nverify=subprocess.run(['python','-m','jarvis_finance.cli.main','verify-backup','--file',str(backup)], cwd=repo, env={**os.environ,'PYTHONPATH':'src'}, text=True, capture_output=True, check=True)\\nres=restore_runtime_db(backup_file=backup, db_path=restore_db, repo_root=repo, yes=True)\\nprod_db=Path('/home/agent/jarvis_runtime/finance-system/data/finance.sqlite3').resolve()\\nprint(json.dumps({'backup_created':backup.exists(), 'backup_dir': str(backup.parent), 'verify_checksum_ok': 'checksum_ok=true' in verify.stdout, 'restore_test_db_exists': restore_db.exists(), 'restore_is_separate_from_prod': restore_db != prod_db, 'restore_verified': res.verified}, sort_keys=True))\\nPY\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\\"backup_created\\\": true, \\\"backup_dir\\\": \\\"/home/agent/jarvis_runtime/finance-system/backups\\\", \\\"restore_is_separate_from_prod\\\": true, \\\"restore_test_db_exists\\\": true, \\\"restore_verified\\\": true, \\\"verify_checksum_ok\\\": true}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_5FFea6qY0WQc8joIEaJYsgjf" }, { "role": "assistant", "content": "", "reasoning": "**Preparing for backup**\n\nI'm thinking about needing an optional second mini-import and making sure I have a backup ready. It should be okay, but I want to double-check that the payload was created earlier. I’m considering if the planned_write_summary_json has the correct payload keys. Yes, I’ll need the backup and the import, along with any notes. Let's make sure I’m using the service effectively!", "finish_reason": "tool_calls", "reasoning_content": "**Preparing for backup**\n\nI'm thinking about needing an optional second mini-import and making sure I have a backup ready. It should be okay, but I want to double-check that the payload was created earlier. I’m considering if the planned_write_summary_json has the correct payload keys. Yes, I’ll need the backup and the import, along with any notes. Let's make sure I’m using the service effectively!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvnn5MR0t3AYa0SOyFFzAWCXsz4VGc0mnO2t3e52J5PsMayB24V88Xd20T8-vLuTepvTJKD1GbqrluVWRqXnZ3stQJSykO06BDmFSlK7vai9T272j_nF50WUpjSofkVjeGDGhcDymbInrWsf_I2AzaARvD4hHxy8DIoIKNW6mNLxe9v8KkCuxLy3Osnnna_ojVidyGsLXVe4mPFr9_NcU4uKfCH1WFkWxYQq1eVdIVgIEZvDyxAfJc0ZYRqCOWvT0vlfa_j6YQCg3iHXyy39KkzxnUyosqNDvURkcLdouF3Nzy-gmT3CzV2LsdEl2lDL6bUnUxZekGUF2By8jtU41kKnBeNHer-amglduK99ATHmQrveZFzSHE_0E9EfYLwB4COmcXXl9DRVXMS82SjLSScEN72MLeYgT_rXbZKxtimZVZg5CbbtqXcPaTvJB6jbE4bMGVXqegeAUK_FEoeS2ObNpqai4-lfQ74AwuiSd7sTyL9O7xuPCllZNg7CHIjX5Q9exP9eON6A1urmHOgXOeM9c7SvvsCCwA4k68_zNrFt15yOdRzbgoCBxsK_SwiK_dyc2LUhKDpTCi1rkZzZNnLPWY3R2MjQr5kHcoMHkGG1F4TjZuPe7U06RFBgxIxrRaNv-E_EblrnLa4huRjZMuB1J7XHuL1-xl8wPue28TetL5QTSprqpQGoln4U2JeB5ak_Xyh3zzAePFLZYaSTWQQ0akggD5TVt1Mx8qRm2QL6ViX0x7CRnKjDDdPEyY9P315-vv29dN3Y7O00neuaE1xVRNPWCXz82m12tOne3FCP0FDKeoakb3p6MtCIkg8JDwUKl6Yc4C6ZQcxJHgpYfaJXIhv1N_k3Pj6ZpcB1_en2WOdIAWgi-etBFzVQD94CD9kUUQBpah0CF4mcmXaq1660Gruxfc0J96ofLtOwdqMOFrw4xyW5ugf2jlZakRP9fbf-rzTsNYfRag4rfVlWemLHj3lnUAxvG9di9odLwIzMxqZVtZ_JvqfVC1hZielMpTYGInE4q68lejXlhRKv6zJsd6czuHmgod1xasHmBho3O8MlArd-WsvXddoJN5lSPPMAAVzHALO62PorgyYfw7aWNT-IME6BOzd8MP7eWqavAsYFvncggeK74pVDXI1v2YcyEkvjTRxKnCqI8kmRPdo44Ua30BNFe4sHk3oi4p89JURR3Au5qB9q6nlMuOsTmhIFcKM7RwECQtMutEC2eJPai8drkhbWUPAs2wrSjuVe7Ew=", "id": "rs_0c76e56576ffc0fb016a06f9e47ba881919d169b0b22fe9373", "summary": [ { "type": "summary_text", "text": "**Preparing for backup**\n\nI'm thinking about needing an optional second mini-import and making sure I have a backup ready. It should be okay, but I want to double-check that the payload was created earlier. I’m considering if the planned_write_summary_json has the correct payload keys. Yes, I’ll need the backup and the import, along with any notes. Let's make sure I’m using the service effectively!" } ] } ], "tool_calls": [ { "id": "call_Q7YxYDL3FxELVOLdR6jU10SN", "call_id": "call_Q7YxYDL3FxELVOLdR6jU10SN", "response_item_id": "fc_0c76e56576ffc0fb016a06f9e7745881918e742464a62aeb62", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Backup/Restore Regression auf Test-DB prüfen\",\"id\":\"b6c-3\",\"status\":\"completed\"},{\"content\":\"Optional zweiten Mini-Import genau 1 Item nach Regression durchführen\",\"id\":\"b6c-4\",\"status\":\"in_progress\"}]}" } } ] }, { "role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"b6c-1\", \"content\": \"Import Regression und Position/Data Quality Check aggregiert prüfen\", \"status\": \"completed\"}, {\"id\": \"b6c-2\", \"content\": \"Safe Correction/Void Datenmodell+Service+Tests implementieren\", \"status\": \"completed\"}, {\"id\": \"b6c-3\", \"content\": \"Backup/Restore Regression auf Test-DB prüfen\", \"status\": \"completed\"}, {\"id\": \"b6c-4\", \"content\": \"Optional zweiten Mini-Import genau 1 Item nach Regression durchführen\", \"status\": \"in_progress\"}, {\"id\": \"b6c-5\", \"content\": \"Compile/pytest/Git-Safety/Git Status, commit+push bei Codeänderungen\", \"status\": \"pending\"}], \"summary\": {\"total\": 5, \"pending\": 1, \"in_progress\": 1, \"completed\": 3, \"cancelled\": 0}}", "tool_call_id": "call_Q7YxYDL3FxELVOLdR6jU10SN" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_BIIlrb68oR9lAAgvWKocF0dB", "call_id": "call_BIIlrb68oR9lAAgvWKocF0dB", "response_item_id": "fc_0c76e56576ffc0fb016a06f9ea400c819180b33d51eb108930", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python -m jarvis_finance.cli.main backup-runtime-db > /tmp/b6c_second_backup_out.txt\\nPYTHONPATH=src python - <<'PY'\\nimport re, subprocess, json, os\\nfrom pathlib import Path\\ntext=Path('/tmp/b6c_second_backup_out.txt').read_text(); m=re.search(r'backup_file=([^\\\\s]+)', text)\\nif not m: raise SystemExit('backup_file not found')\\nbackup=Path(m.group(1)).resolve(); repo=Path('/home/agent/.hermes/repos/FinanceManager')\\nverify=subprocess.run(['python','-m','jarvis_finance.cli.main','verify-backup','--file',str(backup)], cwd=repo, env={**os.environ,'PYTHONPATH':'src'}, text=True, capture_output=True, check=True)\\nprint(json.dumps({'backup_created':backup.exists(), 'backup_verified':'checksum_ok=true' in verify.stdout, 'backup_dir':str(backup.parent)}, sort_keys=True))\\nPY\\nPYTHONPATH=src python - <<'PY'\\nimport json\\nfrom jarvis_finance.config.settings import load_settings\\nfrom jarvis_finance.storage.database import connect\\nfrom jarvis_finance.storage.migrations import apply_migrations\\nfrom jarvis_finance.imports.execution import execute_initial_snapshot_plan\\nconn=connect(load_settings().db_path); apply_migrations(conn)\\nbefore_tx=conn.execute(\\\"SELECT COUNT(*) n FROM transactions WHERE source_type='broker_import_reviewed_snapshot' AND transaction_type='initial_position_snapshot'\\\").fetchone()['n']\\nplan=conn.execute(\\\"SELECT execution_plan_id FROM broker_import_execution_plans WHERE source_platform='True Wealth' AND payload_status='ready' AND execution_status='planned' ORDER BY created_at, execution_plan_id LIMIT 1\\\").fetchone()\\nif not plan:\\n raise SystemExit('no remaining planned ready payload')\\nresult=execute_initial_snapshot_plan(conn, execution_plan_id=plan['execution_plan_id'], note='B6c second controlled mini-import from reviewed True Wealth execution plan; no mass import.', created_by='phase_b6c')\\nafter_tx=conn.execute(\\\"SELECT COUNT(*) n FROM transactions WHERE source_type='broker_import_reviewed_snapshot' AND transaction_type='initial_position_snapshot'\\\").fetchone()['n']\\nremaining=conn.execute(\\\"SELECT COUNT(*) n FROM broker_import_execution_plans WHERE source_platform='True Wealth' AND payload_status='ready' AND execution_status='planned'\\\").fetchone()['n']\\nprint(json.dumps({'second_mini_import_performed':result.imported, 'new_import_transactions_delta': after_tx-before_tx, 'total_tw_initial_snapshots': after_tx, 'remaining_ready_planned_payloads': remaining}, sort_keys=True))\\nPY\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\\"backup_created\\\": true, \\\"backup_dir\\\": \\\"/home/agent/jarvis_runtime/finance-system/backups\\\", \\\"backup_verified\\\": true}\\n{\\\"new_import_transactions_delta\\\": 1, \\\"remaining_ready_planned_payloads\\\": 1, \\\"second_mini_import_performed\\\": true, \\\"total_tw_initial_snapshots\\\": 2}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_BIIlrb68oR9lAAgvWKocF0dB" }, { "role": "assistant", "content": "", "reasoning": "**Checking data quality**\n\nI need to do some final checks to ensure everything is in order. I'll definitely consider data quality counts as an important factor. It’s essential that everything is accurately tested before finalizing the process. I want to make sure all aspects have gone through full testing to avoid any blunders later on. So, I'll approach this methodically and carefully — checking off each part as I go along!", "finish_reason": "tool_calls", "reasoning_content": "**Checking data quality**\n\nI need to do some final checks to ensure everything is in order. I'll definitely consider data quality counts as an important factor. It’s essential that everything is accurately tested before finalizing the process. I want to make sure all aspects have gone through full testing to avoid any blunders later on. So, I'll approach this methodically and carefully — checking off each part as I go along!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvoAKdYurxHEIHTMtkeE7FkOrqU6JIwtzsDmeWj4ZNB546MmVEvtL-WxwH-EpjObPNhS95KrPE-dZr-yU_jXxsjLHh_dzvOPfs8hfGauTx3mQ0NUIGKWITxXFe4wNsqnDYjai3Br3oUu8-hg-IIqnJsl-njeHVhzMlMBQuNDiOk3W3FEUSIoeApx_08VeL_OVt4ElIjbKVIvfzg12gvtsjJlbDmP33B2Lqv_3NbPwRnqmrTUhdV9OWHkO2-rjb8JbBwLorhlK9z9gfwNjNh-8qPo4PgF9CZeorllGE2k9T7ReyT9Aa_HRzvj19acraGTCfx5DQ6ICai_rKWaxvLtqW2hndNoVgPwlYXzU2W2RzoG6VQm1nHh7qpq2L477EyrQnAhsSE07p-cgcTy03EYbpkSzzXelHXI9cBDEMuGPRahbC11EvkyhwD6rZilvuuDeUoflD5A58_s6UOYlPpNFdP3WxCTQscvlyLPx2GHdXixFmDM_HnFg5qH8sWbuN1jb8bkR7WA7T8S4x6gqgOUgvX3e8f-DmWX3Tj8wUT8RzlBV248XktXZLvir-yhrMopnykDzbmV8dDGzTyun-8Jm1UyZ_RjysH8HHqWh01H7mtRQzSOVTPW9Ecj7UoDsFNOL3ipagbHSbZ415u7M8EQH8Z0F9_FyPjclyevSH5Uz2TzzsM0qxRelDpqpOppRAHpj0XN34usQJ5eFKUdhxMTV0QNbUPHhwnBa1j9rp6B-hUd-G9kOOOMVb1QzKB4yth2F5FKD-hW2ueh2DK1KsGKVSSkPYtOzNFKurqpmrWtYp_i88dzZYvCoc9DfFE3Bq6MTLwasWtSDQCxaznyZ5ROPrSaCAQfmmey1amdbbzPPWoAHrdQey4s3Qij1qZjcTeUpvQmBzF8WgtYceNULOtCi0l7CtaLKO2CFaQBtuQ4BGoXxdUtUji42AFHH0ZMSelEp9xSX463jjH5YnTWmhtbZNxrPbeFiq2mSVLgl66Z2CUFDxQ=", "id": "rs_0c76e56576ffc0fb016a06f9fe6e1c81918bc89911d1692eed", "summary": [ { "type": "summary_text", "text": "**Checking data quality**\n\nI need to do some final checks to ensure everything is in order. I'll definitely consider data quality counts as an important factor. It’s essential that everything is accurately tested before finalizing the process. I want to make sure all aspects have gone through full testing to avoid any blunders later on. So, I'll approach this methodically and carefully — checking off each part as I go along!" } ] } ], "tool_calls": [ { "id": "call_OgyIhBUQMyHVhUKCApYaUUwx", "call_id": "call_OgyIhBUQMyHVhUKCApYaUUwx", "response_item_id": "fc_0c76e56576ffc0fb016a06fa000f5081918e85cdeb99bd3fc4", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Optional zweiten Mini-Import genau 1 Item nach Regression durchführen\",\"id\":\"b6c-4\",\"status\":\"completed\"},{\"content\":\"Compile/pytest/Git-Safety/Git Status, commit+push bei Codeänderungen\",\"id\":\"b6c-5\",\"status\":\"in_progress\"}]}" } } ] }, { "role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"b6c-1\", \"content\": \"Import Regression und Position/Data Quality Check aggregiert prüfen\", \"status\": \"completed\"}, {\"id\": \"b6c-2\", \"content\": \"Safe Correction/Void Datenmodell+Service+Tests implementieren\", \"status\": \"completed\"}, {\"id\": \"b6c-3\", \"content\": \"Backup/Restore Regression auf Test-DB prüfen\", \"status\": \"completed\"}, {\"id\": \"b6c-4\", \"content\": \"Optional zweiten Mini-Import genau 1 Item nach Regression durchführen\", \"status\": \"completed\"}, {\"id\": \"b6c-5\", \"content\": \"Compile/pytest/Git-Safety/Git Status, commit+push bei Codeänderungen\", \"status\": \"in_progress\"}], \"summary\": {\"total\": 5, \"pending\": 0, \"in_progress\": 1, \"completed\": 4, \"cancelled\": 0}}", "tool_call_id": "call_OgyIhBUQMyHVhUKCApYaUUwx" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_3eJThulMzqF0MgushHiGMdEP", "call_id": "call_3eJThulMzqF0MgushHiGMdEP", "response_item_id": "fc_0c76e56576ffc0fb016a06fa03ee808191991886bd41523f7a", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python - <<'PY'\\nimport json\\nfrom decimal import Decimal\\nfrom jarvis_finance.config.settings import load_settings\\nfrom jarvis_finance.storage.database import connect\\nfrom jarvis_finance.storage.migrations import apply_migrations\\nfrom jarvis_finance.ledger.positions import calculate_positions\\nfrom jarvis_finance.dashboard import data as dashboard_data\\nconn=connect(load_settings().db_path); apply_migrations(conn)\\nrows=conn.execute(\\\"\\\"\\\"\\nSELECT t.transaction_id, t.transaction_type, t.source_type, t.source_id, t.row_hash, t.instrument_id, t.account_id, t.quantity, t.quality_status, t.fx_status,\\n ep.execution_plan_id, ep.review_item_id, ep.execution_status, ri.review_status\\nFROM transactions t\\nLEFT JOIN broker_import_execution_plans ep ON ep.execution_plan_id=t.source_id OR ep.transaction_id=t.transaction_id\\nLEFT JOIN broker_import_review_items ri ON ri.review_item_id=ep.review_item_id\\nWHERE t.source_type='broker_import_reviewed_snapshot' AND t.transaction_type='initial_position_snapshot'\\n\\\"\\\"\\\").fetchall()\\nparseable=0\\nfor r in rows:\\n Decimal(str(r['quantity'])); parseable += 1\\npositions=calculate_positions(conn)\\nposition_warnings=[]\\nfor pos in positions.positions.values():\\n position_warnings.extend(pos.quality_warnings)\\nalerts=conn.execute(\\\"SELECT rule_id, COUNT(*) n FROM alerts GROUP BY rule_id ORDER BY rule_id\\\").fetchall()\\nsummary={\\n 'tw_initial_snapshot_transactions': len(rows),\\n 'qty_decimal_parseable': parseable,\\n 'execution_imported': sum(1 for r in rows if r['execution_status']=='imported'),\\n 'review_imported': sum(1 for r in rows if r['review_status']=='imported'),\\n 'quality_warning_or_incomplete': sum(1 for r in rows if r['quality_status'] in ('warning','incomplete')),\\n 'positions_calculated': len(positions.positions),\\n 'dashboard_positions_count': len(dashboard_data.get_positions(conn)),\\n 'position_warning_rules': sorted(set(position_warnings)),\\n 'total_return_precise_count': sum(1 for p in positions.positions.values() if p.total_return_chf is not None),\\n 'open_alerts_by_rule': [dict(a) for a in alerts],\\n 'execution_status_counts': [dict(r) for r in conn.execute(\\\"SELECT execution_status, COUNT(*) n FROM broker_import_execution_plans GROUP BY execution_status ORDER BY execution_status\\\").fetchall()],\\n 'remaining_ready_planned_payloads': conn.execute(\\\"SELECT COUNT(*) n FROM broker_import_execution_plans WHERE source_platform='True Wealth' AND payload_status='ready' AND execution_status='planned'\\\").fetchone()['n'],\\n 'audit_import_events': conn.execute(\\\"SELECT COUNT(*) n FROM audit_log WHERE action IN ('execute_mini_import','mark_review_item_imported')\\\").fetchone()['n'],\\n 'void_audit_events': conn.execute(\\\"SELECT COUNT(*) n FROM audit_log WHERE action='void_transaction'\\\").fetchone()['n'],\\n}\\nprint(json.dumps(summary, sort_keys=True))\\nPY\\nPYTHONPATH=src python -m compileall -q src tests\\nPYTHONPATH=src pytest -q\\nrm -rf .pytest_cache src/jarvis_finance/**/__pycache__ tests/**/__pycache__\\nPYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\\ngit status --short --branch\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\\"audit_import_events\\\": 4, \\\"dashboard_positions_count\\\": 2, \\\"execution_imported\\\": 2, \\\"execution_status_counts\\\": [{\\\"execution_status\\\": \\\"imported\\\", \\\"n\\\": 2}, {\\\"execution_status\\\": \\\"planned\\\", \\\"n\\\": 1}], \\\"open_alerts_by_rule\\\": [{\\\"n\\\": 14, \\\"rule_id\\\": \\\"crypto_price_stale\\\"}, {\\\"n\\\": 2, \\\"rule_id\\\": \\\"missing_fx\\\"}, {\\\"n\\\": 2, \\\"rule_id\\\": \\\"missing_market_price\\\"}], \\\"position_warning_rules\\\": [\\\"missing_fx\\\", \\\"missing_market_price\\\"], \\\"positions_calculated\\\": 2, \\\"qty_decimal_parseable\\\": 2, \\\"quality_warning_or_incomplete\\\": 2, \\\"remaining_ready_planned_payloads\\\": 1, \\\"review_imported\\\": 2, \\\"total_return_precise_count\\\": 0, \\\"tw_initial_snapshot_transactions\\\": 2, \\\"void_audit_events\\\": 0}\\n........................................................................ [ 45%]\\n........................................................................ [ 90%]\\n................ [100%]\\n160 passed in 7.41s\\nGIT_SAFETY_OK\\n## main...origin/main\\n M src/jarvis_finance/ledger/cash.py\\n M src/jarvis_finance/ledger/positions.py\\n M src/jarvis_finance/storage/migrations.py\\n M tests/unit/test_runtime_backup.py\\n M tests/unit/test_schema.py\\n?? src/jarvis_finance/imports/execution.py\\n?? src/jarvis_finance/ledger/corrections.py\\n?? tests/unit/test_import_execution_and_corrections.py\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_3eJThulMzqF0MgushHiGMdEP" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvoe9XfvpxvW2M0qtGn6UN9YSeUE1PmpW9vLfFGnSb-hsiEGPbHo-XFeE2x0QawLFwBtLp29a9oTzQglq7l-VLRsmMuvzoIcDR2WiIyADCIBD6bT-_kiauCdGqQqkeR2vTSJ6k14Kp4jDxIk6v7U8G16ZbykkHvx4xmFXryfNXm7OyA-pCcCzaraXkYdK9hc-jJ1IaOUV6RIAiSQrELfj67Q2v7SBMsmcbbCLAFr8vLiFGbKUmUpPNtZnrmH1PZihIAnKHHbxLP8rPqxmQiVWKN6x6Uml71rFP0DJy6WXQE4zZ2Yjgwk4JD7pFlJnzlSFpX_4n5KlK3A27BplK4KJZD_j2IdgBzglrJoZVelPLSeS30HPn-5x2FxIhsptALDVGG7X3KH8L-5liy-iRgXhUaX5veaYLMKrfXO5t9SJFIRD7QX4tjD8ot0HT_Yq1MMOPEKvu3ED2nasm60VInPtU0thDHYj-vlTsK3TmMytTah91gWtCvLG17OBBtafuLh13ibRuaiWZz7PEhhePxH_30Ex6r-l87x3020eizhr2ZefvVaZarMOzldCB_CB8oDeGdzHJtjNjsi8gZTFXPAqC3lx7mRkNg_rWFhkN44u-Ds1EF6c4KYxtkjliyTaOTmyOEpnUg4fm5C0kaXwU8nYqz8k-8lUKIgqJdpike3i3E2BJ9zbSdRl-x7djpheCqbzzto5Mx5OR66UcJxWgyF7WHGbx-Oot6l_Ok6zQFsJUFZFO-1vS7c7BfHwEVGGW8Z7TQE_CdZL1ZCzbQYxZkcLLv_tLuQtYBkwwov_MSgyIFypjrqtmtmlF1nYI94kjijnBNJp699W4zsc-chSJ-q1CpNvpp7K-MTJ3Nsv7sODA8Cn5BDknGUWoTlm5kG2qb_I6w9eIscp37UJrpsroFUljXi12KCVIRPWhyaOb7Yt1n9JP2nld2HH4JQQCqgMdD5wwWl", "id": "rs_0c76e56576ffc0fb016a06fa1d80d4819193ef2b36c2594d25", "summary": [] } ], "tool_calls": [ { "id": "call_GnAvuONr9ve44bReA5omqZ2X", "call_id": "call_GnAvuONr9ve44bReA5omqZ2X", "response_item_id": "fc_0c76e56576ffc0fb016a06fa1e0eec8191894dad0d9392469b", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\ngit add src/jarvis_finance/storage/migrations.py src/jarvis_finance/ledger/positions.py src/jarvis_finance/ledger/cash.py src/jarvis_finance/imports/execution.py src/jarvis_finance/ledger/corrections.py tests/unit/test_schema.py tests/unit/test_runtime_backup.py tests/unit/test_import_execution_and_corrections.py\\ngit commit -m \\\"feat: harden broker mini-import corrections\\\"\\nPYTHONPATH=src python -m compileall -q src tests\\nPYTHONPATH=src pytest -q\\nrm -rf .pytest_cache src/jarvis_finance/**/__pycache__ tests/**/__pycache__\\nPYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\\ngit status --short --branch\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"[main 374fdd5] feat: harden broker mini-import corrections\\n 8 files changed, 365 insertions(+), 6 deletions(-)\\n create mode 100644 src/jarvis_finance/imports/execution.py\\n create mode 100644 src/jarvis_finance/ledger/corrections.py\\n create mode 100644 tests/unit/test_import_execution_and_corrections.py\\n........................................................................ [ 45%]\\n........................................................................ [ 90%]\\n................ [100%]\\n160 passed in 7.41s\\nGIT_SAFETY_OK\\n## main...origin/main [voraus 1]\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_GnAvuONr9ve44bReA5omqZ2X" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_zysnJJus1KLFasaLQDEmgFms", "call_id": "call_zysnJJus1KLFasaLQDEmgFms", "response_item_id": "fc_0c76e56576ffc0fb016a06fa2d92e081919e292f918a7a9007", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\npython - <<'PY'\\nimport re, subprocess, sys\\nfrom pathlib import Path\\nrepo=Path('/home/agent/.hermes/repos/FinanceManager')\\ntext=Path('/home/agent/jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv').read_text()\\nm=re.search(r'(github_pat_[A-Za-z0-9_]+|ghp_[A-Za-z0-9_]+|gho_[A-Za-z0-9_]+)', text)\\nif not m:\\n print('TOKEN_PARSE=failed'); sys.exit(12)\\ntoken=m.group(1); auth_url=f'https://{token}@github.com/Gamexgit/FinanceManager.git'\\ndef run(args, check=True): return subprocess.run(args, cwd=repo, text=True, capture_output=True, check=check)\\ntry:\\n run(['git','fetch',auth_url,'main:refs/remotes/origin/main','--quiet'])\\n local=run(['git','rev-parse','HEAD']).stdout.strip(); origin=run(['git','rev-parse','origin/main']).stdout.strip(); base=run(['git','merge-base','HEAD','origin/main']).stdout.strip()\\n print('REMOTE_BEFORE='+origin[:7]); print('LOCAL_HEAD='+local[:7])\\n if origin != base:\\n print('REMOTE_HAS_NEW_COMMITS=yes'); sys.exit(3)\\n push=run(['git','push',auth_url,'main:main'], check=False)\\n if push.returncode:\\n print('PUSH=failed'); print((push.stderr or push.stdout).replace(token,'[REDACTED]')[-1000:]); sys.exit(push.returncode)\\n run(['git','fetch',auth_url,'main:refs/remotes/origin/main','--quiet'])\\n print('PUSH=success'); print('REMOTE_AFTER='+run(['git','rev-parse','--short','origin/main']).stdout.strip())\\nfinally:\\n token=None; auth_url=None\\nPY\\nPYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\\ngit status --short --branch\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"REMOTE_BEFORE=48562fe\\nLOCAL_HEAD=374fdd5\\nPUSH=success\\nREMOTE_AFTER=374fdd5\\nGIT_SAFETY_OK\\n## main...origin/main\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_zysnJJus1KLFasaLQDEmgFms" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBvpCd2wkoFFh5AzzmVeSG_pGZSKarUhCNsDK9ovcF-Ov5NXAf6zzRa95AoMoM97Zv1qpYaMfo18Uc1BrgsMNKq6pM6G9ZwuwDhHvFyoK33x9vFE0Sjx1iYi6ff7VgwQOF6edmZb2bBT8SnQnKMB_1GkdBkXBqOINR2P7pf6uz-DBzkTMLXCs-diMIcJnvx0Kox2AtNsh_0_gJuqrrS0ltD3xFAxAe_HsZt2bU5m7l8hhUF6y_n6gTWMdiHYCJtU1eIvtRg8T7DpY8AZR1y5aPFSqerIoeya04ZxIkJJFLUO4pgMq8cpgaRltYu8K7NvsPhiwBBb5OF0yVHfYW-1DhHnD0XORu8H0OahSF4OXFvN7ZJNYFBGOZsVdGTtp07GO8f2fl6vKsS_PT5NqzIfZRof9lX5PxBYdi982REgYSwV4anPeYHo3iBfe2q3KaJ7WCj95Kfs_2ik4gYfkKVSYxtQztjVqtCR40rZ6qDAUVbsj9Y4ggtJ3NT0tfSzvctbtbEGhnYvwwuzqIkxedp92Yiki_6cq3mO2RJs4zOz1p1g0VNh5Df0ekBaqefNAy7VC1kt58HGqi1dBQUGCyTo30t8YvqmeMArp6TKBPEnTw0womQ8Vx3IfmYTRJjvnps6Wi4j7shYVCTrsdciueKeTz1RmMtG0hFCgPVu6ir9ZEm4rr5iQ6MYJ-YI4bE1d02qlbKHnlbUYqOfluFSY1ULy1l5nWqwGJCPZgDFa9LNzzZLW_3OwQoIfv-ALIvNLrMtBvycx1-o9zjWu-Om1eiE3NJwmQF5CY5ITLqYQEDyL4ud4m8rbfSeeh50RHn-Jp14TKt_0Ybu_S7fNgbGWSf5iigw7gLvVPsS231zhiCczGgofbmfogGaSbtEcqd2dRf-h0cYon_G2J4G1LJUKwdEAdhAmehKxM4fpjeZ8oluXWhIsXGT2Y0v8Ww-QY9voOpVZDZ_WIwDEVqrhqICJ9Mu3YMLpHcSomU8J0Rd_cx2hbW2fdHREadILpAmI7kHUFASr4Gy8dVdUZ0e-M5tgq5Bpgt6Aww==", "id": "rs_0c76e56576ffc0fb016a06fa4170888191adc3f8d09968949f", "summary": [] } ], "tool_calls": [ { "id": "call_YJYYeQsbYnm8Arxi7IVuZQfi", "call_id": "call_YJYYeQsbYnm8Arxi7IVuZQfi", "response_item_id": "fc_0c76e56576ffc0fb016a06fa42e0fc8191859b684588b3b2aa", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"cd /home/agent/.hermes/repos/FinanceManager && PYTHONPATH=src python - <<'PY'\\nimport json\\nfrom jarvis_finance.config.settings import load_settings\\nfrom jarvis_finance.storage.database import connect\\nfrom jarvis_finance.storage.migrations import apply_migrations\\nconn=connect(load_settings().db_path); apply_migrations(conn)\\nprint(json.dumps({\\n 'schema_version': conn.execute('SELECT MAX(version) v FROM schema_migrations').fetchone()['v'],\\n 'tw_initial_snapshots': conn.execute(\\\"SELECT COUNT(*) n FROM transactions WHERE source_type='broker_import_reviewed_snapshot' AND transaction_type='initial_position_snapshot'\\\").fetchone()['n'],\\n 'remaining_ready_planned': conn.execute(\\\"SELECT COUNT(*) n FROM broker_import_execution_plans WHERE source_platform='True Wealth' AND payload_status='ready' AND execution_status='planned'\\\").fetchone()['n'],\\n 'review_imported': conn.execute(\\\"SELECT COUNT(*) n FROM broker_import_review_items WHERE source_platform='True Wealth' AND review_status='imported'\\\").fetchone()['n'],\\n 'positions_snapshot': conn.execute('SELECT COUNT(*) n FROM positions_snapshot').fetchone()['n'],\\n 'cash_balances': conn.execute('SELECT COUNT(*) n FROM cash_balances').fetchone()['n'],\\n 'alerts': [dict(r) for r in conn.execute('SELECT rule_id, COUNT(*) n FROM alerts GROUP BY rule_id ORDER BY rule_id').fetchall()],\\n}, sort_keys=True))\\nPY\\ngit rev-parse --short HEAD\\ngit status --short --branch\",\"timeout\":60,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\\"alerts\\\": [{\\\"n\\\": 14, \\\"rule_id\\\": \\\"crypto_price_stale\\\"}, {\\\"n\\\": 2, \\\"rule_id\\\": \\\"missing_fx\\\"}, {\\\"n\\\": 2, \\\"rule_id\\\": \\\"missing_market_price\\\"}], \\\"cash_balances\\\": 0, \\\"positions_snapshot\\\": 0, \\\"remaining_ready_planned\\\": 1, \\\"review_imported\\\": 2, \\\"schema_version\\\": 8, \\\"tw_initial_snapshots\\\": 2}\\n374fdd5\\n## main...origin/main\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_YJYYeQsbYnm8Arxi7IVuZQfi" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_WPIrZR3jyPdObQIOigOr5iHk", "call_id": "call_WPIrZR3jyPdObQIOigOr5iHk", "response_item_id": "fc_0c76e56576ffc0fb016a06fa4cf798819192295adc59375a24", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Compile/pytest/Git-Safety/Git Status, commit+push bei Codeänderungen\",\"id\":\"b6c-5\",\"status\":\"completed\"}]}" } } ] }, { "role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"b6c-1\", \"content\": \"Import Regression und Position/Data Quality Check aggregiert prüfen\", \"status\": \"completed\"}, {\"id\": \"b6c-2\", \"content\": \"Safe Correction/Void Datenmodell+Service+Tests implementieren\", \"status\": \"completed\"}, {\"id\": \"b6c-3\", \"content\": \"Backup/Restore Regression auf Test-DB prüfen\", \"status\": \"completed\"}, {\"id\": \"b6c-4\", \"content\": \"Optional zweiten Mini-Import genau 1 Item nach Regression durchführen\", \"status\": \"completed\"}, {\"id\": \"b6c-5\", \"content\": \"Compile/pytest/Git-Safety/Git Status, commit+push bei Codeänderungen\", \"status\": \"completed\"}], \"summary\": {\"total\": 5, \"pending\": 0, \"in_progress\": 0, \"completed\": 5, \"cancelled\": 0}}", "tool_call_id": "call_WPIrZR3jyPdObQIOigOr5iHk" }, { "role": "assistant", "content": "Phase B6c ist abgeschlossen, Sir.\n\n## Kurzfazit\n\n- Regression Check bestanden: **ja**\n- Re-Import-Schutz bestätigt: **ja**\n- Safe Correction / Void implementiert: **ja**\n- Backup/Restore Regression bestanden: **ja**\n- Zweiter Mini-Import durchgeführt: **ja**\n- Produktive True-Wealth Initial-Snapshot-Transaktionen nachher: **2**\n- Remaining ready planned True-Wealth Items: **1**\n- Direkte `positions_snapshot` Writes: **0**\n- Cash-Snapshots: **0**\n- Tests: **160 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- Commit: `374fdd5`\n- Push Status: **success**\n- Git Status: **clean**, `main...origin/main`\n\nKeine echten Mengen, Werte, Kontostände oder sensitiven Dateiinhalte wurden ausgegeben.\n\n---\n\n## 1. Import Regression Check\n\nGeprüft für den bestehenden B6b Mini-Import:\n\n- genau 1 produktive Transaktion aus B6b initial vorhanden: **ja**\n- `transaction_type = initial_position_snapshot`: **ja**\n- `source_type = broker_import_reviewed_snapshot`: **ja**\n- linked `execution_plan_id` vorhanden: **ja**\n- linked `review_item_id` vorhanden: **ja**\n- `instrument_id` vorhanden: **ja**\n- `account_id` vorhanden: **ja**\n- `quantity` vorhanden: **ja**\n- `quantity` Decimal-parsebar: **ja**\n- keine Float-Konvertierung: **ja**\n- `quality_status` warning/incomplete bei fehlender FX/Cost Basis: **ja**\n- Audit-Log vorhanden: **ja**\n- Execution Plan Status: **imported**\n- Review Item Status: **imported**\n\nRe-Import-Schutz:\n\n- dieselbe `execution_plan_id` wird blockiert: **ja**\n- dieselbe `row_hash` wird blockiert: **ja**\n- zusätzliche Tests dafür ergänzt: **ja**\n\n---\n\n## 2. Position Calculation Check\n\nGeprüft:\n\n- Position kann aus Ledger berechnet werden: **ja**\n- berechnete Position erscheint auf Portfolio/Equity-Seite: **ja**\n- Dashboard/Equity erkennt Ledger-Positionen: **ja**\n- keine direkte Snapshot-Wahrheit geschrieben: **ja**\n- Total Return wird bei fehlender FX/Market Data nicht präzise behauptet: **ja**\n\nData Quality Flags nach B6c:\n\n- `missing_fx`: **2**\n- `missing_market_price`: **2**\n- `cost_basis_uncertain`: im Execution-Plan/Import-Payload geführt\n- `snapshot_only`: im Execution-Plan/Import-Payload geführt\n- alte Crypto-Preis-Warnings bestehen weiterhin: **14 stale crypto price Alerts**\n\nWichtig: Die Ledger-Positionen existieren, aber Performance/Total Return bleibt bewusst unvollständig. Kein finanzmathematisches Wunschdenken, how disappointing.\n\n---\n\n## 3. Safe Correction / Reversal\n\nImplementiert:\n\n### `void_transaction`\n\n- markiert Transaktion als voided/storniert\n- löscht **nicht** physisch\n- erfordert Notiz\n- schreibt Audit-Log\n- erzeugt Data-Quality Alert `voided_transaction`\n- Position-/Cash-Berechnung ignoriert `is_voided = 1`\n\nNeue Felder in `transactions`:\n\n- `is_voided`\n- `voided_at`\n- `void_reason`\n- `voided_by`\n- `correction_of_transaction_id`\n- `correction_reason`\n\n### `correction_transaction`\n\nVorbereitet über Audit-Link:\n\n- neue Korrekturtransaktion bleibt separat\n- alte Transaktion bleibt historisch sichtbar\n- neue Transaktion kann mit alter Transaktion verknüpft werden\n- Audit-Log Pflicht\n- Notiz Pflicht\n\nPhysisches Löschen produktiver Transaktionen: **nicht erlaubt / nicht implementiert**\n\nSchema-Version danach: **8**\n\n---\n\n## 4. Backup/Restore Regression\n\nDurchgeführt:\n\n- Backup nach Mini-Import erzeugt: **ja**\n- `verify-backup` funktioniert: **ja**\n- Checksum OK: **ja**\n- Restore auf separate Test-DB funktioniert: **ja**\n- produktive DB wurde dabei nicht überschrieben: **ja**\n- Git-Safety danach OK: **ja**\n\nZusätzlich Test ergänzt:\n\n- Restore auf separate Test-DB verändert produktive DB nicht.\n\n---\n\n## 5. Zweiter Mini-Import\n\nNach erfolgreicher Regression wurde genau **1** weiteres remaining True-Wealth-ready Item importiert.\n\nBedingungen erfüllt:\n\n- vorher Backup: **ja**\n- Backup verifiziert: **ja**\n- genau 1 Position importiert: **ja**\n- keine Massenübernahme: **ja**\n- Audit vorhanden: **ja**\n- Execution Plan vorhanden: **ja**\n- anderes ready Item unverändert: **ja**\n- keine echten Werte/Mengen im Chat: **ja**\n- Git-Safety danach OK: **ja**\n\nStatus nach zweitem Mini-Import:\n\n- produktive True-Wealth Initial-Snapshot-Transaktionen: **2**\n- Execution Plans:\n - imported: **2**\n - planned/ready: **1**\n- Review Items:\n - imported: **2**\n - remaining ready/resolved: **1**\n- `positions_snapshot`: **0**\n- `cash_balances`: **0**\n\n---\n\n## 6. Tests ergänzt\n\nNeu/erweitert getestet:\n\n- Re-Import derselben `execution_plan_id` wird blockiert\n- Re-Import derselben `row_hash` wird blockiert\n- `void_transaction` braucht Notiz\n- `void_transaction` schreibt Audit\n- voided transaction wird nicht als aktive Position gezählt\n- correction transaction erzeugt Audit-Link\n- Initial Snapshot mit missing FX bleibt warning/incomplete\n- Portfolio-Berechnung zeigt keine Scheingenauigkeit / kein Fake Total Return\n- Backup nach Import / Restore auf Test-DB\n- Schema enthält Void-/Correction-Felder\n\nTeststand:\n\n- vorher: **155**\n- nachher: **160**\n- Ergebnis: **160 passed**\n\n---\n\n## Codeänderungen\n\nGeändert / neu:\n\n- `src/jarvis_finance/storage/migrations.py`\n - Migration `008_transaction_void_corrections`\n- `src/jarvis_finance/ledger/positions.py`\n - voided transactions werden ignoriert\n- `src/jarvis_finance/ledger/cash.py`\n - voided transactions werden ignoriert\n- `src/jarvis_finance/imports/execution.py`\n - kontrollierte Execution-Plan-Import-Funktion\n - Re-Import-Schutz\n- `src/jarvis_finance/ledger/corrections.py`\n - `void_transaction`\n - `record_correction_audit`\n- `tests/unit/test_import_execution_and_corrections.py`\n- `tests/unit/test_runtime_backup.py`\n- `tests/unit/test_schema.py`\n\nCommit:\n\n- `374fdd5` — `feat: harden broker mini-import corrections`\n\nPush:\n\n- **success**\n- Remote HEAD: `374fdd5`\n\n---\n\n## Abschlussstatus\n\n- Compile: **OK**\n- pytest: **160 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- Git Status: **clean**\n- Branch: `main...origin/main`\n\n## Nächste Empfehlung\n\nNoch **kein Massenimport**.\n\nNächster sinnvoller Schritt:\n\n1. Das letzte remaining True-Wealth-ready Item als **dritten Einzel-Mini-Import** durchführen.\n2. Danach eine kleine Review-Phase:\n - importierte 3 Ledger-Positionen aggregiert prüfen\n - Data Quality Center konsolidieren\n - Manual Review Queue Status finalisieren\n3. Erst danach entscheiden, ob weitere True-Wealth-Items gemappt/importiert werden oder ob zuerst FX/Cost-Basis-Modell verbessert wird.\n\nKurz: B6c hat den Airbag eingebaut, bevor wir schneller fahren. Sehr vernünftig.", "reasoning": null, "finish_reason": "stop", "codex_message_items": [ { "type": "message", "role": "assistant", "status": "completed", "content": [ { "type": "output_text", "text": "Phase B6c ist abgeschlossen, Sir.\n\n## Kurzfazit\n\n- Regression Check bestanden: **ja**\n- Re-Import-Schutz bestätigt: **ja**\n- Safe Correction / Void implementiert: **ja**\n- Backup/Restore Regression bestanden: **ja**\n- Zweiter Mini-Import durchgeführt: **ja**\n- Produktive True-Wealth Initial-Snapshot-Transaktionen nachher: **2**\n- Remaining ready planned True-Wealth Items: **1**\n- Direkte `positions_snapshot` Writes: **0**\n- Cash-Snapshots: **0**\n- Tests: **160 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- Commit: `374fdd5`\n- Push Status: **success**\n- Git Status: **clean**, `main...origin/main`\n\nKeine echten Mengen, Werte, Kontostände oder sensitiven Dateiinhalte wurden ausgegeben.\n\n---\n\n## 1. Import Regression Check\n\nGeprüft für den bestehenden B6b Mini-Import:\n\n- genau 1 produktive Transaktion aus B6b initial vorhanden: **ja**\n- `transaction_type = initial_position_snapshot`: **ja**\n- `source_type = broker_import_reviewed_snapshot`: **ja**\n- linked `execution_plan_id` vorhanden: **ja**\n- linked `review_item_id` vorhanden: **ja**\n- `instrument_id` vorhanden: **ja**\n- `account_id` vorhanden: **ja**\n- `quantity` vorhanden: **ja**\n- `quantity` Decimal-parsebar: **ja**\n- keine Float-Konvertierung: **ja**\n- `quality_status` warning/incomplete bei fehlender FX/Cost Basis: **ja**\n- Audit-Log vorhanden: **ja**\n- Execution Plan Status: **imported**\n- Review Item Status: **imported**\n\nRe-Import-Schutz:\n\n- dieselbe `execution_plan_id` wird blockiert: **ja**\n- dieselbe `row_hash` wird blockiert: **ja**\n- zusätzliche Tests dafür ergänzt: **ja**\n\n---\n\n## 2. Position Calculation Check\n\nGeprüft:\n\n- Position kann aus Ledger berechnet werden: **ja**\n- berechnete Position erscheint auf Portfolio/Equity-Seite: **ja**\n- Dashboard/Equity erkennt Ledger-Positionen: **ja**\n- keine direkte Snapshot-Wahrheit geschrieben: **ja**\n- Total Return wird bei fehlender FX/Market Data nicht präzise behauptet: **ja**\n\nData Quality Flags nach B6c:\n\n- `missing_fx`: **2**\n- `missing_market_price`: **2**\n- `cost_basis_uncertain`: im Execution-Plan/Import-Payload geführt\n- `snapshot_only`: im Execution-Plan/Import-Payload geführt\n- alte Crypto-Preis-Warnings bestehen weiterhin: **14 stale crypto price Alerts**\n\nWichtig: Die Ledger-Positionen existieren, aber Performance/Total Return bleibt bewusst unvollständig. Kein finanzmathematisches Wunschdenken, how disappointing.\n\n---\n\n## 3. Safe Correction / Reversal\n\nImplementiert:\n\n### `void_transaction`\n\n- markiert Transaktion als voided/storniert\n- löscht **nicht** physisch\n- erfordert Notiz\n- schreibt Audit-Log\n- erzeugt Data-Quality Alert `voided_transaction`\n- Position-/Cash-Berechnung ignoriert `is_voided = 1`\n\nNeue Felder in `transactions`:\n\n- `is_voided`\n- `voided_at`\n- `void_reason`\n- `voided_by`\n- `correction_of_transaction_id`\n- `correction_reason`\n\n### `correction_transaction`\n\nVorbereitet über Audit-Link:\n\n- neue Korrekturtransaktion bleibt separat\n- alte Transaktion bleibt historisch sichtbar\n- neue Transaktion kann mit alter Transaktion verknüpft werden\n- Audit-Log Pflicht\n- Notiz Pflicht\n\nPhysisches Löschen produktiver Transaktionen: **nicht erlaubt / nicht implementiert**\n\nSchema-Version danach: **8**\n\n---\n\n## 4. Backup/Restore Regression\n\nDurchgeführt:\n\n- Backup nach Mini-Import erzeugt: **ja**\n- `verify-backup` funktioniert: **ja**\n- Checksum OK: **ja**\n- Restore auf separate Test-DB funktioniert: **ja**\n- produktive DB wurde dabei nicht überschrieben: **ja**\n- Git-Safety danach OK: **ja**\n\nZusätzlich Test ergänzt:\n\n- Restore auf separate Test-DB verändert produktive DB nicht.\n\n---\n\n## 5. Zweiter Mini-Import\n\nNach erfolgreicher Regression wurde genau **1** weiteres remaining True-Wealth-ready Item importiert.\n\nBedingungen erfüllt:\n\n- vorher Backup: **ja**\n- Backup verifiziert: **ja**\n- genau 1 Position importiert: **ja**\n- keine Massenübernahme: **ja**\n- Audit vorhanden: **ja**\n- Execution Plan vorhanden: **ja**\n- anderes ready Item unverändert: **ja**\n- keine echten Werte/Mengen im Chat: **ja**\n- Git-Safety danach OK: **ja**\n\nStatus nach zweitem Mini-Import:\n\n- produktive True-Wealth Initial-Snapshot-Transaktionen: **2**\n- Execution Plans:\n - imported: **2**\n - planned/ready: **1**\n- Review Items:\n - imported: **2**\n - remaining ready/resolved: **1**\n- `positions_snapshot`: **0**\n- `cash_balances`: **0**\n\n---\n\n## 6. Tests ergänzt\n\nNeu/erweitert getestet:\n\n- Re-Import derselben `execution_plan_id` wird blockiert\n- Re-Import derselben `row_hash` wird blockiert\n- `void_transaction` braucht Notiz\n- `void_transaction` schreibt Audit\n- voided transaction wird nicht als aktive Position gezählt\n- correction transaction erzeugt Audit-Link\n- Initial Snapshot mit missing FX bleibt warning/incomplete\n- Portfolio-Berechnung zeigt keine Scheingenauigkeit / kein Fake Total Return\n- Backup nach Import / Restore auf Test-DB\n- Schema enthält Void-/Correction-Felder\n\nTeststand:\n\n- vorher: **155**\n- nachher: **160**\n- Ergebnis: **160 passed**\n\n---\n\n## Codeänderungen\n\nGeändert / neu:\n\n- `src/jarvis_finance/storage/migrations.py`\n - Migration `008_transaction_void_corrections`\n- `src/jarvis_finance/ledger/positions.py`\n - voided transactions werden ignoriert\n- `src/jarvis_finance/ledger/cash.py`\n - voided transactions werden ignoriert\n- `src/jarvis_finance/imports/execution.py`\n - kontrollierte Execution-Plan-Import-Funktion\n - Re-Import-Schutz\n- `src/jarvis_finance/ledger/corrections.py`\n - `void_transaction`\n - `record_correction_audit`\n- `tests/unit/test_import_execution_and_corrections.py`\n- `tests/unit/test_runtime_backup.py`\n- `tests/unit/test_schema.py`\n\nCommit:\n\n- `374fdd5` — `feat: harden broker mini-import corrections`\n\nPush:\n\n- **success**\n- Remote HEAD: `374fdd5`\n\n---\n\n## Abschlussstatus\n\n- Compile: **OK**\n- pytest: **160 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- Git Status: **clean**\n- Branch: `main...origin/main`\n\n## Nächste Empfehlung\n\nNoch **kein Massenimport**.\n\nNächster sinnvoller Schritt:\n\n1. Das letzte remaining True-Wealth-ready Item als **dritten Einzel-Mini-Import** durchführen.\n2. Danach eine kleine Review-Phase:\n - importierte 3 Ledger-Positionen aggregiert prüfen\n - Data Quality Center konsolidieren\n - Manual Review Queue Status finalisieren\n3. Erst danach entscheiden, ob weitere True-Wealth-Items gemappt/importiert werden oder ob zuerst FX/Cost-Basis-Modell verbessert wird.\n\nKurz: B6c hat den Airbag eingebaut, bevor wir schneller fahren. Sehr vernünftig." } ], "id": "msg_0c76e56576ffc0fb016a06fa5061748191bc68aa35f5287b4f", "phase": "final_answer" } ] } ] }