{
"session_id": "20260519_141721_11644d",
"model": "gpt-5.5",
"base_url": "https://chatgpt.com/backend-api/codex",
"platform": "telegram",
"session_start": "2026-05-19T14:17:21.475411",
"last_updated": "2026-05-19T14:19:33.344286",
"system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below. Be targeted and efficient in your exploration and investigations.\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\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\nHost: Linux (6.17.0-23-generic)\nUser home directory: /home/agent\nCurrent working directory: /home/agent/.hermes/hermes-agent\n\nYou are on a text messaging communication platform, Telegram. Standard markdown is automatically converted to Telegram format. Supported: **bold**, *italic*, ~~strikethrough~~, ||spoiler||, `inline code`, ```code blocks```, [links](url), and ## headers. Telegram has NO table syntax — prefer bullet lists or labeled key: value pairs over pipe tables (any tables you do emit are auto-rewritten into row-group bullets, which you can produce directly for cleaner output). You can send media files natively: to deliver a file to the user, include MEDIA:/absolute/path/to/file in your response. Images (.png, .jpg, .webp) appear as photos, audio (.ogg) sends as voice bubbles, and videos (.mp4) play inline. You can also include image URLs in markdown format  and they will be sent as native photos.\n\nConversation started: Tuesday, May 19, 2026 02:17 PM\nModel: gpt-5.5\nProvider: openai-codex",
"tools": [
{
"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": [
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"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
}
},
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"action"
]
}
}
},
{
"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",
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"type": "object",
"properties": {
"command": {
"type": "string",
"description": "The command to execute on the VM"
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"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": {
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},
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"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."
}
},
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]
}
}
}
],
"message_count": 24,
"messages": [
{
"role": "user",
"content": "Focused re-review of Grocery Optimizer Product Price Providers v1 after blocker fixes. Verify previous cache overwrite, no-price zero, source timestamp, cache staleness blockers are fixed; check for any new security_concerns or logic_errors. Return ONLY JSON with passed, security_concerns, logic_errors, suggestions, summary."
},
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"reasoning": "**Exploring file access methods**\n\nI need to inspect a repository and focus on getting only the final JSON file. The tools available are limited to the terminal, and it seems I can't use commands like ls, grep, or find as per the instructions. I'm wondering if reading files in Python might work instead since some commands aren't available. First, I'll check the git status and files, then decide how to proceed with the scripts allowed.",
"finish_reason": "tool_calls",
"reasoning_content": "**Exploring file access methods**\n\nI need to inspect a repository and focus on getting only the final JSON file. The tools available are limited to the terminal, and it seems I can't use commands like ls, grep, or find as per the instructions. I'm wondering if reading files in Python might work instead since some commands aren't available. First, I'll check the git status and files, then decide how to proceed with the scripts allowed.",
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}
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},
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"content": "{\"output\": \"/home/agent\\nfatal: Kein Git-Repository (oder irgendeines der Elternverzeichnisse): .git\", \"exit_code\": 128, \"error\": null}",
"tool_call_id": "call_SpzBQCSg01pAv5KMfqHSrYUZ"
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{
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"reasoning": "**Exploring repository discovery**\n\nI want to discover a repository, but it seems like I can’t use the traditional find method. Instead, I’m considering using Python’s os.walk. This will let me traverse directories and find what I need. It sounds like a good approach to explore the file structure in a more efficient way. Okay, let’s see how this goes! I'll dive into using os.walk to locate the repo.",
"finish_reason": "tool_calls",
"reasoning_content": "**Exploring repository discovery**\n\nI want to discover a repository, but it seems like I can’t use the traditional find method. Instead, I’m considering using Python’s os.walk. This will let me traverse directories and find what I need. It sounds like a good approach to explore the file structure in a more efficient way. Okay, let’s see how this goes! I'll dive into using os.walk to locate the repo.",
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"content": "{\"output\": \"M frontend/src/api/budget.ts\\n M frontend/src/components/SidebarNav.vue\\n M frontend/src/pages/BudgetGroceryOptimizerPage.vue\\n M src/jarvis_finance/api/routers/budget.py\\n M src/jarvis_finance/services/grocery_optimizer.py\\n M src/jarvis_finance/storage/migrations.py\\n M tests/unit/test_budget_monthly_import_rule_learning_v1.py\\n M tests/unit/test_budget_phase1.py\\n M tests/unit/test_budget_phase11.py\\n M tests/unit/test_budget_phase12_seed_review.py\\n M tests/unit/test_budget_phase16_user_rules.py\\n M tests/unit/test_fixed_costs_subscriptions_v1.py\\n M tests/unit/test_schema.py\\n?? docs/grocery/\\n?? frontend/src/pages/GroceryPriceProvidersV1.test.ts\\n?? src/jarvis_finance/services/grocery_price_providers.py\\n?? tests/unit/test_grocery_price_providers_v1.py\\nfeat/grocery-product-price-providers-v1\\n frontend/src/api/budget.ts | 58 ++-\\n frontend/src/api/portfolio.ts | 4 +-\\n frontend/src/api/reports.ts | 4 +-\\n frontend/src/api/types.ts | 1 +\\n frontend/src/components/AppLayout.vue | 4 +\\n frontend/src/components/PageHelpButton.vue | 20 +\\n frontend/src/components/SidebarNav.vue | 12 +-\\n frontend/src/help/pageHelp.ts | 38 ++\\n frontend/src/pages/BudgetCategoriesPage.test.ts | 73 +++\\n frontend/src/pages/BudgetCategoriesPage.vue | 143 +++---\\n .../src/pages/BudgetGroceryOptimizerPage.test.ts | 51 ++\\n frontend/src/pages/BudgetGroceryOptimizerPage.vue | 99 ++++\\n .../src/pages/BudgetImportProductionV2.test.ts | 46 +-\\n frontend/src/pages/BudgetImportReviewPage.vue | 41 +-\\n frontend/src/pages/BudgetIncomePage.test.ts | 18 +-\\n frontend/src/pages/BudgetIncomePage.vue | 21 +-\\n frontend/src/pages/BudgetMonthlyImportPage.test.ts | 38 ++\\n frontend/src/pages/BudgetMonthlyImportPage.vue | 65 +++\\n frontend/src/pages/BudgetPlanningPage.test.ts | 93 ++++\\n frontend/src/pages/BudgetPlanningPage.vue | 92 ++++\\n frontend/src/pages/BudgetRecurringPage.test.ts | 48 ++\\n frontend/src/pages/BudgetRecurringPage.vue | 75 +++\\n frontend/src/pages/BudgetRulesPage.vue | 15 +-\\n frontend/src/pages/BudgetStatusPage.vue | 2 +-\\n frontend/src/pages/BudgetTransactionsPage.vue | 11 +-\\n frontend/src/pages/BudgetTransfersPage.vue | 45 ++\\n frontend/src/pages/BudgetUxV2.test.ts | 8 +-\\n frontend/src/pages/BudgetVsActualPage.vue | 2 +-\\n frontend/src/pages/BudgetWorkflowHelpUx.test.ts | 96 ++++\\n frontend/src/pages/CommandCenter.test.ts | 56 +--\\n frontend/src/pages/CommandCenter.vue | 105 ++---\\n frontend/src/pages/DataExplorerPage.vue | 6 +-\\n frontend/src/pages/ReportsPage.test.ts | 29 ++\\n frontend/src/pages/ReportsPage.vue | 17 +-\\n frontend/src/pages/VueCockpitV11.test.ts | 7 +-\\n frontend/src/router/index.ts | 11 +-\\n frontend/src/utils/month.test.ts | 15 +\\n frontend/src/utils/month.ts | 4 +\\n src/jarvis_finance/api/routers/budget.py | 211 ++++++++-\\n src/jarvis_finance/api/routers/overview.py | 11 +-\\n src/jarvis_finance/api/routers/reports.py | 13 +-\\n src/jarvis_finance/services/budget_analytics_v2.py | 17 +\\n src/jarvis_finance/services/budget_categories.py | 205 +++++++-\\n .../services/budget_data_explorer.py | 8 +\\n src/jarvis_finance/services/budget_imports.py | 109 ++++-\\n .../services/budget_monthly_import.py | 252 ++++++++++\\n src/jarvis_finance/services/budget_overview.py | 29 ++\\n src/jarvis_finance/services/budget_planning.py | 513 +++++++++++++++++++++\\n src/jarvis_finance/services/budget_plans.py | 48 +-\\n src/jarvis_finance/services/budget_recurring.py | 379 +++++++++++++++\\n src/jarvis_finance/services/budget_transactions.py | 40 +-\\n .../services/finance_command_center.py | 258 +++++++++++\\n src/jarvis_finance/services/grocery_optimizer.py | 209 +++++++++\\n src/jarvis_finance/storage/migrations.py | 214 ++++++++-\\n .../test_budget_categories_cleanup_duplicates.py | 135 ++++++\\n tests/unit/test_budget_categories_ux_fix.py | 48 ++\\n .../test_budget_monthly_import_rule_learning_v1.py | 114 +++++\\n tests/unit/test_budget_phase1.py | 2 +-\\n tests/unit/test_budget_phase11.py | 2 +-\\n tests/unit/test_budget_phase12_seed_review.py | 2 +-\\n tests/unit/test_budget_phase16_user_rules.py | 2 +-\\n tests/unit/test_budget_planning_forecast_v1.py | 149 ++++++\\n tests/unit/test_budget_planning_usability_v2.py | 108 +++++\\n .../unit/test_budget_review_bulk_assign_confirm.py | 131 ++++++\\n tests/unit/test_budget_workflow_help_ux.py | 79 ++++\\n ...test_finance_command_center_monthly_close_v1.py | 109 +++++\\n tests/unit/test_fixed_costs_subscriptions_v1.py | 146 ++++++\\n tests/unit/test_migros_grocery_optimizer_v1.py | 142 ++++++\\n tests/unit/test_schema.py | 2 +-\\n 69 files changed, 4881 insertions(+), 279 deletions(-)\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_au3lOZWzhD3KtU6u9p97AFJ4"
},
{
"role": "assistant",
"content": "",
"reasoning": "**Focusing on relevant files**\n\nI'm thinking about how to approach the branch since it includes a broader scope. I really need to narrow down and focus on the specific files. I should check the provider, optimizer, API, and migrations tests. Maybe I can use Python to print out the relevant files to make sure I'm not missing anything important. It feels like I’m trying to keep everything organized, and I want to get it right!",
"finish_reason": "tool_calls",
"reasoning_content": "**Focusing on relevant files**\n\nI'm thinking about how to approach the branch since it includes a broader scope. I really need to narrow down and focus on the specific files. I should check the provider, optimizer, API, and migrations tests. Maybe I can use Python to print out the relevant files to make sure I'm not missing anything important. It feels like I’m trying to keep everything organized, and I want to get it right!",
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{
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"summary": [
{
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"text": "**Focusing on relevant files**\n\nI'm thinking about how to approach the branch since it includes a broader scope. I really need to narrow down and focus on the specific files. I should check the provider, optimizer, API, and migrations tests. Maybe I can use Python to print out the relevant files to make sure I'm not missing anything important. It feels like I’m trying to keep everything organized, and I want to get it right!"
}
]
}
],
"tool_calls": [
{
"id": "call_SVlSjVepN43pbM2amPObT6mr",
"call_id": "call_SVlSjVepN43pbM2amPObT6mr",
"response_item_id": "fc_0f71ad4574a0f34f016a0c54f98f9c81918cc7f7bd4688aa6a",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"python3 - <<'PY'\\nfrom pathlib import Path\\nfor p in [\\n'src/jarvis_finance/services/grocery_price_providers.py',\\n'src/jarvis_finance/services/grocery_optimizer.py',\\n'src/jarvis_finance/api/routers/budget.py',\\n'tests/unit/test_grocery_price_providers_v1.py']:\\n print('\\\\n###',p)\\n text=Path(p).read_text()\\n lines=text.splitlines()\\n for i,l in enumerate(lines,1):\\n print(f'{i:4}: {l}')\\nPY\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
}
}
]
},
{
"role": "tool",
"name": "terminal",
"content": "{\"output\": \"### src/jarvis_finance/services/grocery_price_providers.py\\n 1: from __future__ import annotations\\n 2: \\n 3: import hashlib\\n 4: import html\\n 5: import json\\n 6: import re\\n 7: from dataclasses import dataclass\\n 8: from datetime import datetime, timezone, timedelta\\n 9: from decimal import Decimal, InvalidOperation\\n 10: from sqlite3 import Connection\\n 11: from typing import Any, Callable\\n 12: from urllib.parse import quote_plus, urljoin\\n 13: from urllib.request import Request, urlopen\\n 14: \\n 15: from jarvis_finance.services.budget_common import new_id, row_to_dict\\n 16: from jarvis_finance.services.grocery_optimizer import _items_for_receipt, upsert_product_match\\n 17: \\n 18: SAFE_MATCH_FLAGS = {\\\"exact_match\\\", \\\"close_match\\\", \\\"cheaper_private_label\\\"}\\n 19: UNSAFE_FLAGS = {\\\"needs_review\\\", \\\"no_price\\\", \\\"no_unit_price\\\", \\\"different_pack_size\\\", \\\"different_quality\\\", \\\"organic_mismatch\\\"}\\n 20: \\n 21: \\n 22: def _now() -> str:\\n 23: return datetime.now(timezone.utc).isoformat()\\n 24: \\n 25: \\n 26: def _decimal_text(value: Any) -> str | None:\\n 27: if value is None:\\n 28: return None\\n 29: text = str(value).replace(\\\"CHF\\\", \\\"\\\").replace(\\\"'\\\", \\\"\\\").replace(\\\"’\\\", \\\"\\\").strip().replace(\\\",\\\", \\\".\\\")\\n 30: match = re.search(r\\\"-?\\\\d+(?:\\\\.\\\\d+)?\\\", text)\\n 31: if not match:\\n 32: return None\\n 33: try:\\n 34: return f\\\"{Decimal(match.group(0)).quantize(Decimal('0.01')):.2f}\\\"\\n 35: except InvalidOperation:\\n 36: return None\\n 37: \\n 38: \\n 39: def _money(value: Any) -> Decimal:\\n 40: text = _decimal_text(value)\\n 41: return Decimal(text or \\\"0.00\\\")\\n 42: \\n 43: \\n 44: def _abs_url(base: str, url: str) -> str:\\n 45: return urljoin(base, html.unescape(url or \\\"\\\"))\\n 46: \\n 47: \\n 48: class GroceryProviderRateLimitError(RuntimeError):\\n 49: pass\\n 50: \\n 51: \\n 52: @dataclass\\n 53: class GroceryProviderResult:\\n 54: retailer: str\\n 55: product_name: str\\n 56: product_url: str\\n 57: price_text: str | None = None\\n 58: unit_price_text: str | None = None\\n 59: brand: str | None = None\\n 60: image_url: str | None = None\\n 61: package_size: str | None = None\\n 62: unit: str | None = None\\n 63: currency: str = \\\"CHF\\\"\\n 64: availability_status: str = \\\"unknown\\\"\\n 65: promotion_text: str | None = None\\n 66: source: str = \\\"web_fetch\\\"\\n 67: confidence: str = \\\"0.60\\\"\\n 68: quality_flags: list[str] | None = None\\n 69: status: str = \\\"suggested\\\"\\n 70: fetched_at: str | None = None\\n 71: raw_result: dict[str, Any] | None = None\\n 72: \\n 73: def as_dict(self) -> dict[str, Any]:\\n 74: price_decimal = _decimal_text(self.price_text)\\n 75: unit_decimal = _decimal_text(self.unit_price_text)\\n 76: flags = list(self.quality_flags or [])\\n 77: if not price_decimal and \\\"no_price\\\" not in flags:\\n 78: flags.append(\\\"no_price\\\")\\n 79: if not unit_decimal and \\\"no_unit_price\\\" not in flags:\\n 80: flags.append(\\\"no_unit_price\\\")\\n 81: if not flags:\\n 82: flags = [\\\"needs_review\\\"]\\n 83: return {\\n 84: \\\"retailer\\\": self.retailer,\\n 85: \\\"product_name\\\": self.product_name,\\n 86: \\\"brand\\\": self.brand,\\n 87: \\\"product_url\\\": self.product_url,\\n 88: \\\"image_url\\\": self.image_url,\\n 89: \\\"price_text\\\": price_decimal or self.price_text,\\n 90: \\\"price_decimal_text\\\": price_decimal,\\n 91: \\\"currency\\\": self.currency,\\n 92: \\\"package_size\\\": self.package_size,\\n 93: \\\"unit\\\": self.unit,\\n 94: \\\"unit_price_text\\\": self.unit_price_text,\\n 95: \\\"unit_price_decimal_text\\\": unit_decimal,\\n 96: \\\"availability_status\\\": self.availability_status,\\n 97: \\\"promotion_text\\\": self.promotion_text,\\n 98: \\\"fetched_at\\\": self.fetched_at or _now(),\\n 99: \\\"source\\\": self.source,\\n 100: \\\"confidence\\\": self.confidence,\\n 101: \\\"quality_flags\\\": flags,\\n 102: \\\"status\\\": self.status if self.status else (\\\"suggested\\\" if set(flags) & SAFE_MATCH_FLAGS else \\\"needs_review\\\"),\\n 103: \\\"raw_result\\\": self.raw_result or {},\\n 104: }\\n 105: \\n 106: \\n 107: class GroceryProductProvider:\\n 108: retailer = \\\"generic\\\"\\n 109: base_url = \\\"https://example.invalid/\\\"\\n 110: future_status: str | None = None\\n 111: \\n 112: def __init__(self, fetcher: Callable[[str], str] | None = None, max_requests: int = 5):\\n 113: self.fetcher = fetcher or self._default_fetcher\\n 114: self.max_requests = max_requests\\n 115: self.request_count = 0\\n 116: \\n 117: def search_url(self, query: str, locale: str = \\\"de-CH\\\") -> str:\\n 118: return self.base_url + \\\"search?q=\\\" + quote_plus(query)\\n 119: \\n 120: def _default_fetcher(self, url: str) -> str:\\n 121: if self.future_status:\\n 122: raise NotImplementedError(self.future_status)\\n 123: req = Request(url, headers={\\\"User-Agent\\\": \\\"JarvisFinanceBot/1.0 low-volume product price lookup\\\"})\\n 124: with urlopen(req, timeout=8) as response: # noqa: S310 - explicit user-triggered low-volume public lookup\\n 125: if response.status == 429:\\n 126: raise GroceryProviderRateLimitError(\\\"rate_limited\\\")\\n 127: return response.read().decode(\\\"utf-8\\\", errors=\\\"ignore\\\")\\n 128: \\n 129: def _fetch(self, url: str) -> str:\\n 130: self.request_count += 1\\n 131: if self.request_count > self.max_requests:\\n 132: raise GroceryProviderRateLimitError(\\\"rate_limited\\\")\\n 133: return self.fetcher(url)\\n 134: \\n 135: def normalize_result(self, raw_result: dict[str, Any]) -> GroceryProviderResult:\\n 136: return GroceryProviderResult(retailer=self.retailer, **raw_result)\\n 137: \\n 138: def parse_search_results(self, html_text: str) -> list[dict[str, Any]]:\\n 139: chunks = re.findall(r\\\"]*data-product[^>]*>(.*?)\\\", html_text, flags=re.I | re.S) or [html_text]\\n 140: results: list[dict[str, Any]] = []\\n 141: for chunk in chunks[:5]:\\n 142: link = re.search(r\\\"]+href=[\\\\\\\"']([^\\\\\\\"']+)[\\\\\\\"'][^>]*>(.*?)\\\", chunk, flags=re.I | re.S)\\n 143: price = re.search(r\\\"class=[\\\\\\\"'][^\\\\\\\"']*price[^\\\\\\\"']*[\\\\\\\"'][^>]*>(.*?)]*>(.*?)]*>(.*?)]+>\\\", \\\"\\\", link.group(2)).strip()\\n 149: results.append({\\n 150: \\\"product_name\\\": html.unescape(name),\\n 151: \\\"product_url\\\": _abs_url(self.base_url, link.group(1)),\\n 152: \\\"price_text\\\": re.sub(r\\\"<[^>]+>\\\", \\\"\\\", price.group(1)).strip() if price else None,\\n 153: \\\"unit_price_text\\\": re.sub(r\\\"<[^>]+>\\\", \\\"\\\", unit_price.group(1)).strip() if unit_price else None,\\n 154: \\\"brand\\\": re.sub(r\\\"<[^>]+>\\\", \\\"\\\", brand.group(1)).strip() if brand else None,\\n 155: \\\"raw_result\\\": {\\\"source\\\": \\\"html_article\\\"},\\n 156: })\\n 157: return results\\n 158: \\n 159: def _cache_key(self, query: str) -> str:\\n 160: return f\\\"provider-search://{self.retailer}/{quote_plus(query.lower().strip())}\\\"\\n 161: \\n 162: def get_cached_result(self, conn: Connection, query: str, max_results: int = 5, max_age_seconds: int = 86400) -> list[dict[str, Any]]:\\n 163: rows = conn.execute(\\\"SELECT * FROM grocery_product_details_cache WHERE retailer=? AND source_hash=? AND cache_status='cached' ORDER BY fetched_at DESC LIMIT ?\\\", (self.retailer, self._cache_key(query), max_results)).fetchall()\\n 164: output = []\\n 165: cutoff = datetime.now(timezone.utc) - timedelta(seconds=max_age_seconds)\\n 166: for row in rows:\\n 167: d = row_to_dict(row)\\n 168: try:\\n 169: fetched_dt = datetime.fromisoformat(str(d.get(\\\"fetched_at\\\")))\\n 170: if fetched_dt.tzinfo is None:\\n 171: fetched_dt = fetched_dt.replace(tzinfo=timezone.utc)\\n 172: if fetched_dt < cutoff:\\n 173: continue\\n 174: except Exception:\\n 175: continue\\n 176: output.append({\\\"retailer\\\": d[\\\"retailer\\\"], \\\"product_name\\\": d.get(\\\"product_name\\\"), \\\"brand\\\": d.get(\\\"brand\\\"), \\\"product_url\\\": d.get(\\\"product_url\\\"), \\\"image_url\\\": d.get(\\\"image_url\\\"), \\\"price_text\\\": d.get(\\\"price_text\\\"), \\\"price_decimal_text\\\": d.get(\\\"price_decimal_text\\\"), \\\"currency\\\": d.get(\\\"currency\\\") or \\\"CHF\\\", \\\"package_size\\\": d.get(\\\"package_size\\\"), \\\"unit\\\": d.get(\\\"unit\\\"), \\\"unit_price_text\\\": d.get(\\\"unit_price_text\\\"), \\\"unit_price_decimal_text\\\": d.get(\\\"unit_price_decimal_text\\\"), \\\"availability_status\\\": d.get(\\\"availability_status\\\"), \\\"promotion_text\\\": d.get(\\\"promotion_text\\\"), \\\"fetched_at\\\": d.get(\\\"fetched_at\\\"), \\\"source\\\": \\\"cache\\\", \\\"confidence\\\": d.get(\\\"confidence\\\") or \\\"0\\\", \\\"quality_flags\\\": json.loads(d.get(\\\"quality_flags_json\\\") or \\\"[]\\\"), \\\"status\\\": \\\"suggested\\\"})\\n 177: return output\\n 178: \\n 179: def store_cache(self, conn: Connection, query: str, result: dict[str, Any]) -> None:\\n 180: detail_id = new_id(\\\"gdetail\\\")\\n 181: conn.execute(\\\"\\\"\\\"INSERT OR REPLACE INTO grocery_product_details_cache(detail_id,retailer,product_url,product_name,price_text,unit_price_text,package_size,ingredients_text,nutrition_json,fetched_at,cache_status,source_hash,brand,image_url,price_decimal_text,currency,unit,unit_price_decimal_text,availability_status,promotion_text,source,confidence,quality_flags_json,raw_result_json)\\n 182: VALUES (COALESCE((SELECT detail_id FROM grocery_product_details_cache WHERE retailer=? AND product_url=?), ?), ?, ?, ?, ?, ?, ?, NULL, '{}', ?, 'cached', ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\\"\\\"\\\",\\n 183: (self.retailer, result[\\\"product_url\\\"], detail_id, self.retailer, result[\\\"product_url\\\"], result.get(\\\"product_name\\\"), result.get(\\\"price_text\\\"), result.get(\\\"unit_price_text\\\"), result.get(\\\"package_size\\\"), result.get(\\\"fetched_at\\\") or _now(), self._cache_key(query), result.get(\\\"brand\\\"), result.get(\\\"image_url\\\"), result.get(\\\"price_decimal_text\\\"), result.get(\\\"currency\\\") or \\\"CHF\\\", result.get(\\\"unit\\\"), result.get(\\\"unit_price_decimal_text\\\"), result.get(\\\"availability_status\\\"), result.get(\\\"promotion_text\\\"), result.get(\\\"source\\\"), result.get(\\\"confidence\\\"), json.dumps(result.get(\\\"quality_flags\\\") or []), json.dumps(result.get(\\\"raw_result\\\") or {})))\\n 184: conn.commit()\\n 185: \\n 186: def search_products(self, conn: Connection, query: str, retailer: str | None = None, locale: str = \\\"de-CH\\\", use_cache: bool = True, max_results: int = 5, max_age_seconds: int = 86400) -> list[dict[str, Any]]:\\n 187: if self.future_status:\\n 188: return [{\\\"retailer\\\": self.retailer, \\\"query\\\": query, \\\"status\\\": \\\"needs_review\\\", \\\"future_status\\\": self.future_status, \\\"quality_flags\\\": [\\\"needs_review\\\"], \\\"source\\\": \\\"skeleton\\\"}]\\n 189: if use_cache:\\n 190: cached = self.get_cached_result(conn, query, max_results=max_results, max_age_seconds=max_age_seconds)\\n 191: if cached:\\n 192: return cached\\n 193: try:\\n 194: html_text = self._fetch(self.search_url(query, locale=locale))\\n 195: raw_rows = self.parse_search_results(html_text)[:max_results]\\n 196: results = [self.normalize_result(raw).as_dict() for raw in raw_rows]\\n 197: for result in results:\\n 198: self.store_cache(conn, query, result)\\n 199: return results\\n 200: except GroceryProviderRateLimitError:\\n 201: return [{\\\"retailer\\\": self.retailer, \\\"query\\\": query, \\\"status\\\": \\\"needs_review\\\", \\\"quality_flags\\\": [\\\"rate_limited\\\", \\\"needs_review\\\"], \\\"source\\\": \\\"web_fetch\\\", \\\"fetched_at\\\": _now()}]\\n 202: except Exception as exc:\\n 203: return [{\\\"retailer\\\": self.retailer, \\\"query\\\": query, \\\"status\\\": \\\"needs_review\\\", \\\"quality_flags\\\": [\\\"provider_error\\\", \\\"needs_review\\\"], \\\"error\\\": type(exc).__name__, \\\"source\\\": \\\"web_fetch\\\", \\\"fetched_at\\\": _now()}]\\n 204: \\n 205: def fetch_product_detail(self, url: str) -> dict[str, Any]:\\n 206: html_text = self._fetch(url)\\n 207: parsed = self.parse_search_results(html_text)\\n 208: return parsed[0] if parsed else {\\\"product_url\\\": url, \\\"status\\\": \\\"needs_review\\\"}\\n 209: \\n 210: \\n 211: class MigrosProvider(GroceryProductProvider):\\n 212: retailer = \\\"Migros\\\"\\n 213: base_url = \\\"https://www.migros.ch/de/search?query=\\\"\\n 214: \\n 215: def search_url(self, query: str, locale: str = \\\"de-CH\\\") -> str:\\n 216: return self.base_url + quote_plus(query)\\n 217: \\n 218: \\n 219: class CoopProvider(GroceryProductProvider):\\n 220: retailer = \\\"Coop\\\"\\n 221: base_url = \\\"https://www.coop.ch/de/search/?text=\\\"\\n 222: \\n 223: def search_url(self, query: str, locale: str = \\\"de-CH\\\") -> str:\\n 224: return self.base_url + quote_plus(query)\\n 225: \\n 226: \\n 227: class AldiSuisseProvider(GroceryProductProvider):\\n 228: retailer = \\\"Aldi Suisse\\\"\\n 229: future_status = \\\"skeleton_provider_not_live\\\"\\n 230: \\n 231: \\n 232: class LidlSchweizProvider(GroceryProductProvider):\\n 233: retailer = \\\"Lidl\\\"\\n 234: future_status = \\\"skeleton_provider_not_live\\\"\\n 235: \\n 236: \\n 237: class DennerProvider(GroceryProductProvider):\\n 238: retailer = \\\"Denner\\\"\\n 239: future_status = \\\"skeleton_provider_not_live\\\"\\n 240: \\n 241: \\n 242: class OttosProvider(GroceryProductProvider):\\n 243: retailer = \\\"Otto's\\\"\\n 244: future_status = \\\"skeleton_provider_not_live\\\"\\n 245: \\n 246: \\n 247: def provider_for_retailer(retailer: str) -> GroceryProductProvider:\\n 248: mapping: dict[str, type[GroceryProductProvider]] = {\\\"Migros\\\": MigrosProvider, \\\"Coop\\\": CoopProvider, \\\"Aldi Suisse\\\": AldiSuisseProvider, \\\"Lidl\\\": LidlSchweizProvider, \\\"Denner\\\": DennerProvider, \\\"Otto's\\\": OttosProvider}\\n 249: return mapping.get(retailer, GroceryProductProvider)()\\n 250: \\n 251: \\n 252: def quality_flags_for_match(original_name: str, result: dict[str, Any]) -> list[str]:\\n 253: original = original_name.lower()\\n 254: candidate = str(result.get(\\\"product_name\\\") or \\\"\\\").lower()\\n 255: flags: list[str] = []\\n 256: if not result.get(\\\"price_decimal_text\\\"):\\n 257: flags.append(\\\"no_price\\\")\\n 258: if not result.get(\\\"unit_price_decimal_text\\\"):\\n 259: flags.append(\\\"no_unit_price\\\")\\n 260: if original and original == candidate:\\n 261: flags.append(\\\"exact_match\\\")\\n 262: elif any(token in candidate for token in original.split()[:2]):\\n 263: flags.append(\\\"close_match\\\")\\n 264: else:\\n 265: flags.append(\\\"needs_review\\\")\\n 266: if (\\\"bio\\\" in original) != (\\\"bio\\\" in candidate):\\n 267: flags.append(\\\"organic_mismatch\\\")\\n 268: if result.get(\\\"brand\\\") and str(result.get(\\\"brand\\\")).lower() in {\\\"prix garantie\\\", \\\"m-budget\\\", \\\"aldi\\\", \\\"lidl\\\"}:\\n 269: flags.append(\\\"cheaper_private_label\\\")\\n 270: if \\\"no_price\\\" in flags or \\\"needs_review\\\" in flags:\\n 271: if \\\"needs_review\\\" not in flags:\\n 272: flags.append(\\\"needs_review\\\")\\n 273: return flags\\n 274: \\n 275: \\n 276: def compare_product_prices(*, original_price_text: str, candidate_price_text: str | None, original_unit_price_text: str | None = None, candidate_unit_price_text: str | None = None, currency: str = \\\"CHF\\\", quality_flags: list[str] | None = None) -> dict[str, Any]:\\n 277: flags = list(quality_flags or [])\\n 278: if currency != \\\"CHF\\\" or not candidate_price_text or \\\"needs_review\\\" in flags or \\\"no_price\\\" in flags:\\n 279: return {\\\"can_calculate_savings\\\": False, \\\"savings_text\\\": \\\"0.00\\\", \\\"basis\\\": \\\"none\\\", \\\"quality_flags\\\": flags}\\n 280: if original_unit_price_text and candidate_unit_price_text and _decimal_text(original_unit_price_text) and _decimal_text(candidate_unit_price_text):\\n 281: savings = max(Decimal(\\\"0.00\\\"), _money(original_unit_price_text) - _money(candidate_unit_price_text))\\n 282: return {\\\"can_calculate_savings\\\": True, \\\"savings_text\\\": f\\\"{savings:.2f}\\\", \\\"basis\\\": \\\"unit_price\\\", \\\"quality_flags\\\": flags}\\n 283: if not any(f in flags for f in [\\\"different_pack_size\\\", \\\"different_quality\\\", \\\"organic_mismatch\\\"]):\\n 284: savings = max(Decimal(\\\"0.00\\\"), _money(original_price_text) - _money(candidate_price_text))\\n 285: if \\\"package_price_fallback\\\" not in flags:\\n 286: flags.append(\\\"package_price_fallback\\\")\\n 287: return {\\\"can_calculate_savings\\\": True, \\\"savings_text\\\": f\\\"{savings:.2f}\\\", \\\"basis\\\": \\\"package_price\\\", \\\"quality_flags\\\": flags}\\n 288: return {\\\"can_calculate_savings\\\": False, \\\"savings_text\\\": \\\"0.00\\\", \\\"basis\\\": \\\"none\\\", \\\"quality_flags\\\": flags}\\n 289: \\n 290: \\n 291: def search_and_store_product_matches(conn: Connection, receipt_id: str, *, providers: list[GroceryProductProvider], included_product_item_ids: list[str] | None = None, max_products: int = 5, use_cache: bool = True, only_safe_matches: bool = True) -> dict[str, Any]:\\n 292: items = _items_for_receipt(conn, receipt_id)\\n 293: if included_product_item_ids is not None:\\n 294: allowed = set(included_product_item_ids)\\n 295: items = [item for item in items if item[\\\"product_item_id\\\"] in allowed]\\n 296: items = items[:max_products]\\n 297: matches: list[dict[str, Any]] = []\\n 298: provider_calls = 0\\n 299: cache_hits = 0\\n 300: for item in items:\\n 301: query = item.get(\\\"normalized_product_name\\\") or item.get(\\\"raw_product_name\\\")\\n 302: for provider in providers:\\n 303: before = provider.request_count\\n 304: results = provider.search_products(conn, query, use_cache=use_cache, max_results=3)\\n 305: provider_calls += max(0, provider.request_count - before)\\n 306: for result in results:\\n 307: if result.get(\\\"source\\\") == \\\"cache\\\":\\n 308: cache_hits += 1\\n 309: if not result.get(\\\"product_url\\\") or not result.get(\\\"product_name\\\"):\\n 310: matches.append({\\\"product_item_id\\\": item[\\\"product_item_id\\\"], **result})\\n 311: continue\\n 312: flags = quality_flags_for_match(item.get(\\\"normalized_product_name\\\") or item.get(\\\"raw_product_name\\\"), result)\\n 313: comparison = compare_product_prices(original_price_text=str(item.get(\\\"total_price_text\\\") or \\\"0\\\"), original_unit_price_text=item.get(\\\"unit_price_text\\\"), candidate_price_text=result.get(\\\"price_decimal_text\\\") or result.get(\\\"price_text\\\"), candidate_unit_price_text=result.get(\\\"unit_price_decimal_text\\\") or result.get(\\\"unit_price_text\\\"), currency=result.get(\\\"currency\\\") or \\\"CHF\\\", quality_flags=flags)\\n 314: status = \\\"suggested\\\" if comparison[\\\"can_calculate_savings\\\"] and (not only_safe_matches or not (set(flags) & UNSAFE_FLAGS)) else \\\"needs_review\\\"\\n 315: if not comparison[\\\"can_calculate_savings\\\"] or not result.get(\\\"price_decimal_text\\\"):\\n 316: matches.append({\\\"product_item_id\\\": item[\\\"product_item_id\\\"], \\\"retailer\\\": result.get(\\\"retailer\\\"), \\\"product_name\\\": result.get(\\\"product_name\\\"), \\\"product_url\\\": result.get(\\\"product_url\\\"), \\\"price_text\\\": result.get(\\\"price_decimal_text\\\") or result.get(\\\"price_text\\\"), \\\"unit_price_text\\\": result.get(\\\"unit_price_text\\\"), \\\"source_fetched_at\\\": result.get(\\\"fetched_at\\\"), \\\"fetched_at\\\": result.get(\\\"fetched_at\\\"), \\\"quality_flags\\\": comparison[\\\"quality_flags\\\"], \\\"confidence\\\": result.get(\\\"confidence\\\"), \\\"status\\\": status, \\\"source\\\": result.get(\\\"source\\\")})\\n 317: continue\\n 318: stored = upsert_product_match(conn, item[\\\"product_item_id\\\"], retailer=result[\\\"retailer\\\"], candidate_product_name=result[\\\"product_name\\\"], candidate_url=result[\\\"product_url\\\"], candidate_price_text=result.get(\\\"price_decimal_text\\\") or result.get(\\\"price_text\\\") or \\\"0\\\", candidate_unit_price_text=result.get(\\\"u\\n\\n... [OUTPUT TRUNCATED - 42810 chars omitted out of 92810 total] ...\\n\\nr(payload.get(\\\"csv_text\\\") or \\\"\\\"), source_file_label=payload.get(\\\"source_file_label\\\") or f\\\"{profile_name}.csv\\\", dry_run=True, default_category_id=payload.get(\\\"default_category_id\\\"), income_category_id=payload.get(\\\"income_category_id\\\"))\\n 520: \\n 521: \\n 522: @router.post(\\\"/import-profiles/{profile_name}/candidates\\\")\\n 523: def budget_import_profile_candidates(profile_name: str, payload: dict, conn: Connection = Depends(get_db)):\\n 524: return import_budget_csv_text(conn, profile_name, str(payload.get(\\\"csv_text\\\") or \\\"\\\"), source_file_label=payload.get(\\\"source_file_label\\\") or f\\\"{profile_name}.csv\\\", dry_run=False, default_category_id=payload.get(\\\"default_category_id\\\"), income_category_id=payload.get(\\\"income_category_id\\\"))\\n 525: \\n 526: \\n 527: @router.get(\\\"/transaction-candidates\\\")\\n 528: def transaction_candidates(status: str | None = None, tab: str | None = None, source_type: str | None = None, category_id: str | None = None, merchant: str | None = None, rule: str | None = None, min_confidence: str | None = None, date_from: str | None = None, date_to: str | None = None, amount_min: str | None = None, amount_max: str | None = None, sort_by: str = \\\"created_at\\\", sort_dir: str = \\\"desc\\\", budget_year: str = \\\"2026\\\", include_reference: bool = False, conn: Connection = Depends(get_db)):\\n 529: return list_transaction_candidates(conn, status=status, tab=tab, source_type=source_type, category_id=category_id, merchant=merchant, rule=rule, min_confidence=min_confidence, date_from=date_from, date_to=date_to, amount_min=amount_min, amount_max=amount_max, sort_by=sort_by, sort_dir=sort_dir, budget_year=budget_year, include_reference=include_reference)\\n 530: \\n 531: \\n 532: @router.get(\\\"/transaction-candidates/summary\\\")\\n 533: def transaction_candidates_summary(budget_year: str = \\\"2026\\\", conn: Connection = Depends(get_db)):\\n 534: return review_candidate_summary(conn, budget_year=budget_year)\\n 535: \\n 536: \\n 537: @router.post(\\\"/transaction-candidates/generate\\\")\\n 538: def transaction_candidates_generate(payload: dict, conn: Connection = Depends(get_db)):\\n 539: source_type = payload.get(\\\"source_type\\\") or \\\"csv_seed\\\"\\n 540: rows = payload.get(\\\"rows\\\") or []\\n 541: if source_type == \\\"credit_card_csv\\\":\\n 542: return seed_credit_card_candidates_from_rows(conn, rows, source_file_label=payload.get(\\\"source_file_label\\\") or \\\"Credit card CSV\\\", subscription_category_id=payload.get(\\\"subscription_category_id\\\"), migros_covered=payload.get(\\\"migros_covered\\\", True))\\n 543: if source_type == \\\"migros_csv\\\":\\n 544: return seed_migros_candidates_from_rows(conn, rows, source_file_label=payload.get(\\\"source_file_label\\\") or \\\"Migros CSV\\\", auto_category_id=payload.get(\\\"auto_category_id\\\"), threshold_chf=str(payload.get(\\\"threshold_chf\\\") or \\\"50.00\\\"))\\n 545: if source_type == \\\"bank_csv\\\":\\n 546: return seed_bank_transfer_candidates_from_rows(conn, rows, source_file_label=payload.get(\\\"source_file_label\\\") or \\\"Bank CSV\\\", income_category_id=payload.get(\\\"income_category_id\\\"))\\n 547: if payload.get(\\\"csv_text\\\"):\\n 548: return seed_transaction_candidates_from_csv_text(conn, payload[\\\"csv_text\\\"], source_file_label=payload.get(\\\"source_file_label\\\") or \\\"CSV Import\\\", source_type=source_type)\\n 549: return seed_transaction_candidates_from_rows(conn, rows, source_file_label=payload.get(\\\"source_file_label\\\") or \\\"Budget Import\\\", source_type=source_type)\\n 550: \\n 551: \\n 552: @router.post(\\\"/transaction-candidates/bank-income/reclassify\\\")\\n 553: def transaction_candidates_bank_income_reclassify(payload: dict | None = None, conn: Connection = Depends(get_db)):\\n 554: return reclassify_bank_income_candidates(conn, budget_year=str((payload or {}).get(\\\"budget_year\\\") or \\\"2026\\\"))\\n 555: \\n 556: \\n 557: @router.post(\\\"/transaction-candidates/migros-2026/preview\\\")\\n 558: def transaction_candidates_migros_2026_preview(payload: dict | None = None, conn: Connection = Depends(get_db)):\\n 559: return preview_migros_receipts_2026(conn, year=str((payload or {}).get(\\\"year\\\") or \\\"2026\\\"))\\n 560: \\n 561: \\n 562: @router.post(\\\"/transaction-candidates/migros-2026/confirm\\\")\\n 563: def transaction_candidates_migros_2026_confirm(payload: dict, conn: Connection = Depends(get_db)):\\n 564: return confirm_migros_receipts_2026(conn, account_id=str(payload.get(\\\"account_id\\\") or \\\"\\\"), year=str(payload.get(\\\"year\\\") or \\\"2026\\\"))\\n 565: \\n 566: \\n 567: @router.post(\\\"/transaction-candidates/{candidate_id}/preview\\\")\\n 568: def transaction_candidates_preview(candidate_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):\\n 569: return preview_transaction_candidate(conn, candidate_id, payload or {})\\n 570: \\n 571: \\n 572: @router.post(\\\"/transaction-candidates/{candidate_id}/confirm\\\")\\n 573: def transaction_candidates_confirm(candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n 574: return confirm_transaction_candidate(conn, candidate_id, payload)\\n 575: \\n 576: \\n 577: @router.post(\\\"/transaction-candidates/{candidate_id}/ignore\\\")\\n 578: def transaction_candidates_ignore(candidate_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):\\n 579: return ignore_transaction_candidate(conn, candidate_id, (payload or {}).get(\\\"note\\\"))\\n 580: \\n 581: \\n 582: @router.post(\\\"/transaction-candidates/{candidate_id}/reopen\\\")\\n 583: def transaction_candidates_reopen(candidate_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):\\n 584: return reopen_transaction_candidate(conn, candidate_id, (payload or {}).get(\\\"note\\\"))\\n 585: \\n 586: \\n 587: @router.post(\\\"/transaction-candidates/{candidate_id}/category\\\")\\n 588: def transaction_candidates_category(candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n 589: return update_transaction_candidate_category(conn, candidate_id, payload.get(\\\"category_id\\\"), payload.get(\\\"note\\\"))\\n 590: \\n 591: \\n 592: @router.post(\\\"/transaction-candidates/bulk-category\\\")\\n 593: def transaction_candidates_bulk_category(payload: dict, conn: Connection = Depends(get_db)):\\n 594: category_id = str(payload.get(\\\"category_id\\\") or \\\"\\\")\\n 595: return bulk_update_transaction_candidate_category(conn, candidate_ids=payload.get(\\\"candidate_ids\\\") or [], category_id=category_id, note=payload.get(\\\"note\\\"))\\n 596: \\n 597: \\n 598: @router.post(\\\"/transaction-candidates/{candidate_id}/split\\\")\\n 599: def transaction_candidates_split(candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n 600: return create_candidate_split(conn, candidate_id, payload.get(\\\"splits\\\") or [])\\n 601: \\n 602: \\n 603: @router.post(\\\"/transaction-candidates/{candidate_id}/split/confirm\\\")\\n 604: def transaction_candidates_split_confirm(candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n 605: return confirm_candidate_split(conn, candidate_id, payload)\\n 606: \\n 607: \\n 608: @router.post(\\\"/transaction-candidates/{candidate_id}/category/create\\\")\\n 609: def transaction_candidates_create_category(candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n 610: return create_review_category_for_candidate(conn, candidate_id, payload)\\n 611: \\n 612: \\n 613: @router.post(\\\"/transaction-candidates/{candidate_id}/transfer\\\")\\n 614: def transaction_candidates_transfer(candidate_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):\\n 615: return mark_candidate_transfer(conn, candidate_id, (payload or {}).get(\\\"note\\\"))\\n 616: \\n 617: \\n 618: @router.post(\\\"/transaction-candidates/{candidate_id}/type\\\")\\n 619: def transaction_candidates_type(candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n 620: return mark_candidate_type(conn, candidate_id, str(payload.get(\\\"candidate_type\\\") or \\\"\\\"), (payload or {}).get(\\\"note\\\"))\\n 621: \\n 622: \\n 623: @router.post(\\\"/transaction-candidates/batch-confirm-safe/preview\\\")\\n 624: def transaction_candidates_batch_confirm_safe_preview(conn: Connection = Depends(get_db)):\\n 625: return preview_safe_auto_candidates(conn)\\n 626: \\n 627: \\n 628: @router.post(\\\"/transaction-candidates/batch/preview\\\")\\n 629: def transaction_candidates_batch_preview(payload: dict, conn: Connection = Depends(get_db)):\\n 630: return preview_batch_confirm_candidates(conn, candidate_ids=payload.get(\\\"candidate_ids\\\") or [], account_id=str(payload.get(\\\"account_id\\\") or \\\"\\\"), budget_year=str(payload.get(\\\"budget_year\\\") or \\\"2026\\\"))\\n 631: \\n 632: \\n 633: @router.post(\\\"/transaction-candidates/batch\\\")\\n 634: def transaction_candidates_batch(payload: dict, conn: Connection = Depends(get_db)):\\n 635: return batch_mark_candidates(conn, candidate_ids=payload.get(\\\"candidate_ids\\\") or [], action=str(payload.get(\\\"action\\\") or \\\"\\\"), account_id=payload.get(\\\"account_id\\\"), category_id=payload.get(\\\"category_id\\\"), preview_id=payload.get(\\\"preview_id\\\"), note=payload.get(\\\"note\\\"), budget_year=str(payload.get(\\\"budget_year\\\") or \\\"2026\\\"))\\n 636: \\n 637: \\n 638: @router.post(\\\"/transaction-candidates/archive-reference-year\\\")\\n 639: def transaction_candidates_archive_reference(payload: dict | None = None, conn: Connection = Depends(get_db)):\\n 640: payload = payload or {}\\n 641: return archive_reference_year_candidates(conn, active_year=str(payload.get(\\\"active_year\\\") or \\\"2026\\\"), reference_year=str(payload.get(\\\"reference_year\\\") or \\\"2025\\\"))\\n 642: \\n 643: \\n 644: @router.post(\\\"/transaction-candidates/batch-confirm-safe\\\")\\n 645: def transaction_candidates_batch_confirm_safe(payload: dict, conn: Connection = Depends(get_db)):\\n 646: account_id = str(payload.get(\\\"account_id\\\") or \\\"\\\")\\n 647: return batch_confirm_safe_candidates(conn, account_id=account_id, candidate_ids=payload.get(\\\"candidate_ids\\\") or None)\\n 648: \\n 649: \\n 650: @router.post(\\\"/transaction-candidates/detect-duplicates\\\")\\n 651: def transaction_candidates_detect_duplicates(conn: Connection = Depends(get_db)):\\n 652: return detect_duplicate_candidates(conn)\\n 653: \\n 654: \\n 655: @router.get(\\\"/merchants\\\")\\n 656: def merchants(include_inactive: bool = False, conn: Connection = Depends(get_db)):\\n 657: return list_merchants(conn, include_inactive=include_inactive)\\n 658: \\n 659: \\n 660: @router.post(\\\"/merchants\\\")\\n 661: def merchants_create(payload: dict, conn: Connection = Depends(get_db)):\\n 662: return create_merchant(conn, payload)\\n 663: \\n 664: \\n 665: @router.post(\\\"/merchants/{merchant_id}/aliases\\\")\\n 666: def merchants_create_alias(merchant_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n 667: return create_merchant_alias(conn, merchant_id, payload)\\n 668: \\n 669: \\n 670: @router.post(\\\"/merchants/{merchant_id}/category\\\")\\n 671: def merchants_update_category(merchant_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n 672: return update_merchant_category(conn, merchant_id, payload.get(\\\"category_id\\\"))\\n 673: \\n 674: \\n 675: @router.post(\\\"/merchants/{merchant_id}/apply\\\")\\n 676: def merchants_apply(merchant_id: str, conn: Connection = Depends(get_db)):\\n 677: return apply_merchant_to_open_candidates(conn, merchant_id)\\n 678: \\n 679: \\n 680: @router.post(\\\"/merchants/merge\\\")\\n 681: def merchants_merge(payload: dict, conn: Connection = Depends(get_db)):\\n 682: return merge_merchants(conn, str(payload.get(\\\"source_merchant_id\\\") or \\\"\\\"), str(payload.get(\\\"target_merchant_id\\\") or \\\"\\\"))\\n 683: \\n 684: \\n 685: @router.post(\\\"/seed-candidates/generate\\\")\\n 686: def seed_candidates_generate(payload: dict, conn: Connection = Depends(get_db)):\\n 687: return seed_budget_candidates_from_rows(conn, payload.get(\\\"workbook_rows\\\") or {}, source_file_label=payload.get(\\\"source_file_label\\\") or \\\"Budget workbook\\\")\\n 688: \\n 689: \\n 690: @router.post(\\\"/seed-candidates/{seed_candidate_id}/preview\\\")\\n 691: def seed_candidates_preview(seed_candidate_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):\\n 692: return preview_seed_candidate(conn, seed_candidate_id, payload or {})\\n 693: \\n 694: \\n 695: @router.post(\\\"/seed-candidates/{seed_candidate_id}/confirm\\\")\\n 696: def seed_candidates_confirm(seed_candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n 697: return confirm_seed_candidate(conn, seed_candidate_id, payload)\\n 698: \\n 699: \\n 700: @router.post(\\\"/seed-candidates/{seed_candidate_id}/ignore\\\")\\n 701: def seed_candidates_ignore(seed_candidate_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):\\n 702: return ignore_seed_candidate(conn, seed_candidate_id, (payload or {}).get(\\\"note\\\"))\\n 703: \\n 704: \\n 705: @router.post(\\\"/seed-candidates/{seed_candidate_id}/reopen\\\")\\n 706: def seed_candidates_reopen(seed_candidate_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):\\n 707: return reopen_seed_candidate(conn, seed_candidate_id, (payload or {}).get(\\\"note\\\"))\\n 708: \\n 709: \\n 710: @router.post(\\\"/seed-candidates/{seed_candidate_id}/status\\\")\\n 711: def seed_candidates_status(seed_candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n 712: return set_seed_candidate_status(conn, seed_candidate_id, payload.get(\\\"status\\\"), payload.get(\\\"note\\\"))\\n 713: \\n 714: \\n 715: @router.post(\\\"/seed-candidates/{seed_candidate_id}/convert-unclean\\\")\\n 716: def seed_candidates_convert_unclean(seed_candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n 717: return convert_unclean_range(conn, seed_candidate_id, payload.get(\\\"target_type\\\"), payload)\\n 718: \\n 719: \\n 720: @router.post(\\\"/seed-candidates/categories/preview-clear-takeover\\\")\\n 721: def seed_candidates_categories_preview_clear_takeover(conn: Connection = Depends(get_db)):\\n 722: return preview_clear_category_takeover(conn)\\n 723: \\n 724: \\n 725: @router.post(\\\"/seed-candidates/categories/confirm-clear-takeover\\\")\\n 726: def seed_candidates_categories_confirm_clear_takeover(conn: Connection = Depends(get_db)):\\n 727: return confirm_clear_category_takeover(conn)\\n 728: \\n 729: \\n 730: @router.post(\\\"/seed-candidates/budget-plans/preview-takeover\\\")\\n 731: def seed_candidates_budget_plans_preview_takeover(conn: Connection = Depends(get_db)):\\n 732: return preview_budget_plan_takeover(conn)\\n 733: \\n 734: \\n 735: @router.post(\\\"/seed-candidates/budget-plans/confirm-takeover\\\")\\n 736: def seed_candidates_budget_plans_confirm_takeover(conn: Connection = Depends(get_db)):\\n 737: return confirm_budget_plan_takeover(conn)\\n 738: \\n 739: \\n 740: @router.post(\\\"/categories/preview\\\")\\n 741: def categories_preview(payload: dict, conn: Connection = Depends(get_db)):\\n 742: return create_category_preview(conn, payload)\\n 743: \\n 744: \\n 745: @router.post(\\\"/categories/confirm\\\")\\n 746: def categories_confirm(payload: dict, conn: Connection = Depends(get_db)):\\n 747: return confirm_create_category(conn, payload)\\n 748: \\n 749: \\n 750: @router.post(\\\"/categories/{category_id}/update\\\")\\n 751: def categories_update(category_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n 752: return update_category(conn, category_id, payload)\\n 753: \\n 754: \\n 755: @router.post(\\\"/categories/{category_id}/archive\\\")\\n 756: def categories_archive(category_id: str, conn: Connection = Depends(get_db)):\\n 757: return archive_category(conn, category_id)\\n 758: \\n 759: \\n 760: @router.post(\\\"/categories/{category_id}/delete-empty\\\")\\n 761: def categories_delete_empty(category_id: str, conn: Connection = Depends(get_db)):\\n 762: return delete_empty_category(conn, category_id)\\n 763: \\n 764: \\n 765: @router.delete(\\\"/categories/{category_id}\\\")\\n 766: def categories_delete(category_id: str, conn: Connection = Depends(get_db)):\\n 767: return delete_empty_category(conn, category_id)\\n 768: \\n 769: \\n 770: @router.post(\\\"/categories/cleanup/preview\\\")\\n 771: def categories_cleanup_preview(conn: Connection = Depends(get_db)):\\n 772: return preview_budget_category_cleanup(conn)\\n 773: \\n 774: \\n 775: @router.post(\\\"/categories/cleanup/confirm\\\")\\n 776: def categories_cleanup_confirm(payload: dict, conn: Connection = Depends(get_db)):\\n 777: return confirm_budget_category_cleanup(conn, payload)\\n 778: \\n 779: \\n 780: @router.post(\\\"/categories/reorder\\\")\\n 781: def categories_reorder(payload: dict, conn: Connection = Depends(get_db)):\\n 782: return reorder_categories(conn, payload.get(\\\"category_ids\\\") or [], category_type=str(payload.get(\\\"category_type\\\") or \\\"expense\\\"))\\n 783: \\n 784: \\n 785: @router.post(\\\"/categories/merge/preview\\\")\\n 786: def categories_merge_preview(conn: Connection = Depends(get_db)):\\n 787: return preview_category_merges(conn)\\n 788: \\n 789: \\n 790: @router.post(\\\"/categories/merge/confirm\\\")\\n 791: def categories_merge_confirm(payload: dict, conn: Connection = Depends(get_db)):\\n 792: return confirm_category_merge(conn, payload)\\n 793: \\n 794: \\n 795: @router.get(\\\"/rules\\\")\\n 796: def rules(include_inactive: bool = False, conn: Connection = Depends(get_db)):\\n 797: return list_budget_rules(conn, include_inactive=include_inactive)\\n 798: \\n 799: \\n 800: @router.post(\\\"/rules\\\")\\n 801: def rules_create(payload: dict, conn: Connection = Depends(get_db)):\\n 802: return create_budget_rule(conn, payload)\\n 803: \\n 804: \\n 805: @router.post(\\\"/rules/{rule_id}/deactivate\\\")\\n 806: def rules_deactivate(rule_id: str, conn: Connection = Depends(get_db)):\\n 807: return deactivate_budget_rule(conn, rule_id)\\n 808: \\n 809: \\n 810: @router.post(\\\"/rules/{rule_id}/update\\\")\\n 811: def rules_update(rule_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n 812: return update_budget_rule(conn, rule_id, payload)\\n 813: \\n 814: \\n 815: @router.post(\\\"/rules/{rule_id}/priority\\\")\\n 816: def rules_prioritize(rule_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n 817: return prioritize_budget_rule(conn, rule_id, int(payload.get(\\\"priority\\\") or 100))\\n 818: \\n 819: \\n 820: @router.post(\\\"/rules/{rule_id}/test\\\")\\n 821: def rules_test(rule_id: str, conn: Connection = Depends(get_db)):\\n 822: return test_budget_rule(conn, rule_id)\\n 823: \\n 824: \\n 825: @router.post(\\\"/rules/{rule_id}/apply\\\")\\n 826: def rules_apply(rule_id: str, conn: Connection = Depends(get_db)):\\n 827: return apply_budget_rules_to_open_candidates(conn, rule_id)\\n 828: \\n 829: \\n 830: @router.get(\\\"/transactions\\\")\\n 831: def transactions(month: str | None = None, year: str | None = \\\"2026\\\", account_id: str | None = None, category_id: str | None = None, transaction_type: str | None = None, merchant: str | None = None, tag: str | None = None, status: str | None = None, source_type: str | None = None, search: str | None = None, date_from: str | None = None, date_to: str | None = None, conn: Connection = Depends(get_db)):\\n 832: return list_budget_transactions(conn, month=month, year=year, account_id=account_id, category_id=category_id, transaction_type=transaction_type, merchant=merchant, tag=tag, status=status, source_type=source_type, search=search, date_from=date_from, date_to=date_to)\\n 833: \\n 834: \\n 835: @router.post(\\\"/transactions/preview\\\")\\n 836: def transactions_preview(payload: dict, conn: Connection = Depends(get_db)):\\n 837: return create_budget_transaction_preview(conn, payload)\\n 838: \\n 839: \\n 840: @router.post(\\\"/transactions/confirm\\\")\\n 841: def transactions_confirm(payload: dict, conn: Connection = Depends(get_db)):\\n 842: return confirm_budget_transaction(conn, payload)\\n 843: \\n 844: \\n 845: @router.post(\\\"/transactions/{transaction_id}/update\\\")\\n 846: def transactions_update(transaction_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n 847: return update_budget_transaction(conn, transaction_id, payload)\\n 848: \\n 849: \\n 850: @router.post(\\\"/transactions/{transaction_id}/reverse/preview\\\")\\n 851: def transactions_reverse_preview(transaction_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):\\n 852: return reverse_budget_transaction_preview(conn, transaction_id, payload or {})\\n 853: \\n 854: \\n 855: @router.post(\\\"/transactions/{transaction_id}/reverse/confirm\\\")\\n 856: def transactions_reverse_confirm(transaction_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n 857: return confirm_reverse_budget_transaction(conn, transaction_id, payload)\\n 858: \\n 859: \\n 860: @router.get(\\\"/transfers\\\")\\n 861: def transfers(year: str | None = \\\"2026\\\", account_id: str | None = None, transfer_type: str | None = None, conn: Connection = Depends(get_db)):\\n 862: return list_budget_transfers(conn, year=year, account_id=account_id, transfer_type=transfer_type)\\n 863: \\n 864: \\n 865: @router.post(\\\"/transfers/preview\\\")\\n 866: def transfers_preview(payload: dict, conn: Connection = Depends(get_db)):\\n 867: return create_transfer_preview(conn, payload)\\n 868: \\n 869: \\n 870: @router.post(\\\"/transfers/confirm\\\")\\n 871: def transfers_confirm(payload: dict, conn: Connection = Depends(get_db)):\\n 872: return confirm_transfer(conn, payload)\\n\\n### tests/unit/test_grocery_price_providers_v1.py\\n 1: from __future__ import annotations\\n 2: \\n 3: import sqlite3\\n 4: from datetime import datetime, timezone\\n 5: \\n 6: import pytest\\n 7: \\n 8: from jarvis_finance.storage.migrations import apply_migrations, get_schema_version\\n 9: from jarvis_finance.services.grocery_optimizer import add_demo_migros_receipt, run_grocery_optimization\\n 10: from jarvis_finance.services.grocery_price_providers import (\\n 11: AldiSuisseProvider,\\n 12: CoopProvider,\\n 13: DennerProvider,\\n 14: LidlSchweizProvider,\\n 15: MigrosProvider,\\n 16: OttosProvider,\\n 17: GroceryProviderRateLimitError,\\n 18: compare_product_prices,\\n 19: search_and_store_product_matches,\\n 20: )\\n 21: \\n 22: \\n 23: def db() -> sqlite3.Connection:\\n 24: conn = sqlite3.connect(':memory:')\\n 25: conn.row_factory = sqlite3.Row\\n 26: apply_migrations(conn)\\n 27: return conn\\n 28: \\n 29: \\n 30: def test_schema_version_33_provider_cache_columns_exist() -> None:\\n 31: conn = db()\\n 32: assert get_schema_version(conn) == 33\\n 33: cols = {row['name'] for row in conn.execute('PRAGMA table_info(grocery_product_details_cache)').fetchall()}\\n 34: assert {'brand', 'image_url', 'price_decimal_text', 'currency', 'unit', 'unit_price_decimal_text', 'availability_status', 'promotion_text', 'source', 'confidence', 'quality_flags_json', 'raw_result_json'}.issubset(cols)\\n 35: \\n 36: \\n 37: def test_migros_and_coop_provider_search_parse_mock_html_and_cache() -> None:\\n 38: conn = db()\\n 39: migros = MigrosProvider(fetcher=lambda url: 'Migros Milch 1LCHF 1.601.60/lMigros')\\n 40: coop = CoopProvider(fetcher=lambda url: 'Prix Garantie Milch 1LCHF 1.201.20/lPrix Garantie')\\n 41: \\n 42: first = migros.search_products(conn, 'milch', use_cache=False, max_results=3)\\n 43: assert first[0]['retailer'] == 'Migros'\\n 44: assert first[0]['price_decimal_text'] == '1.60'\\n 45: assert first[0]['currency'] == 'CHF'\\n 46: assert first[0]['source'] == 'web_fetch'\\n 47: cached = migros.search_products(conn, 'milch', use_cache=True, max_results=3)\\n 48: assert cached[0]['source'] == 'cache'\\n 49: assert cached[0]['product_url'].endswith('/milch')\\n 50: coop_result = coop.search_products(conn, 'milch', use_cache=False, max_results=3)[0]\\n 51: assert coop_result['retailer'] == 'Coop'\\n 52: assert coop_result['unit_price_decimal_text'] == '1.20'\\n 53: \\n 54: \\n 55: def test_provider_rate_limit_and_skeleton_future_status() -> None:\\n 56: conn = db()\\n 57: def rate_limited(_url: str) -> str:\\n 58: raise GroceryProviderRateLimitError('rate_limited')\\n 59: provider = MigrosProvider(fetcher=rate_limited)\\n 60: result = provider.search_products(conn, 'milch', use_cache=False)\\n 61: assert result[0]['status'] == 'needs_review'\\n 62: assert 'rate_limited' in result[0]['quality_flags']\\n 63: for skeleton in [AldiSuisseProvider(), LidlSchweizProvider(), DennerProvider(), OttosProvider()]:\\n 64: rows = skeleton.search_products(conn, 'milch')\\n 65: assert rows[0]['future_status'] == 'skeleton_provider_not_live'\\n 66: assert rows[0]['status'] == 'needs_review'\\n 67: \\n 68: \\n 69: def test_search_and_store_product_matches_uses_sources_and_no_provider_call_on_render() -> None:\\n 70: conn = db()\\n 71: receipt = add_demo_migros_receipt(conn, purchase_date='2026-05-19', store_name='Migros Test', items=[{'raw_product_name': 'Milch 1L', 'total_price_text': '1.50'}])\\n 72: calls = []\\n 73: provider = CoopProvider(fetcher=lambda url: calls.append(url) or 'Prix Garantie Milch 1LCHF 1.201.20/l')\\n 74: matches = search_and_store_product_matches(conn, receipt['receipt_id'], providers=[provider], included_product_item_ids=[receipt['items'][0]['product_item_id']], max_products=1, use_cache=False)\\n 75: assert calls\\n 76: assert matches['provider_calls'] == 1\\n 77: stored = conn.execute('SELECT * FROM grocery_product_matches').fetchone()\\n 78: assert stored['source'] == 'web_fetch'\\n 79: assert stored['candidate_url'].startswith('https://')\\n 80: assert stored['fetched_at']\\n 81: \\n 82: \\n 83: def test_price_comparison_prefers_unit_price_and_excludes_uncertain_matches() -> None:\\n 84: safe = compare_product_prices(original_price_text='1.50', candidate_price_text='1.20', original_unit_price_text='1.50/l', candidate_unit_price_text='1.20/l', currency='CHF', quality_flags=['close_match'])\\n 85: assert safe['can_calculate_savings'] is True\\n 86: assert safe['savings_text'] == '0.30'\\n 87: assert safe['basis'] == 'unit_price'\\n 88: package = compare_product_prices(original_price_text='3.00', candidate_price_text='2.50', original_unit_price_text=None, candidate_unit_price_text=None, currency='CHF', quality_flags=['exact_match'])\\n 89: assert package['can_calculate_savings'] is True\\n 90: assert 'package_price_fallback' in package['quality_flags']\\n 91: unsafe = compare_product_prices(original_price_text='3.00', candidate_price_text='2.50', currency='CHF', quality_flags=['needs_review'])\\n 92: assert unsafe['can_calculate_savings'] is False\\n 93: assert unsafe['savings_text'] == '0.00'\\n 94: \\n 95: \\n 96: def test_search_and_store_preserves_provider_cache_and_source_timestamp() -> None:\\n 97: conn = db()\\n 98: receipt = add_demo_migros_receipt(conn, purchase_date='2026-05-19', store_name='Migros Test', items=[{'raw_product_name': 'Milch 1L', 'total_price_text': '1.50'}])\\n 99: calls = []\\n 100: provider = CoopProvider(fetcher=lambda url: calls.append(url) or 'Prix Garantie Milch 1LCHF 1.201.20/l')\\n 101: first = search_and_store_product_matches(conn, receipt['receipt_id'], providers=[provider], included_product_item_ids=[receipt['items'][0]['product_item_id']], use_cache=False)\\n 102: first_timestamp = first['matches'][0]['source_fetched_at']\\n 103: second = search_and_store_product_matches(conn, receipt['receipt_id'], providers=[provider], included_product_item_ids=[receipt['items'][0]['product_item_id']], use_cache=True)\\n 104: assert len(calls) == 1\\n 105: assert second['cache_hits'] >= 1\\n 106: assert second['matches'][0]['source'] == 'cache'\\n 107: assert second['matches'][0]['source_fetched_at'] == first_timestamp\\n 108: \\n 109: \\n 110: def test_missing_provider_price_is_not_stored_as_zero_match() -> None:\\n 111: conn = db()\\n 112: receipt = add_demo_migros_receipt(conn, purchase_date='2026-05-19', store_name='Migros Test', items=[{'raw_product_name': 'Milch 1L', 'total_price_text': '1.50'}])\\n 113: provider = CoopProvider(fetcher=lambda _url: 'Coop Milch ohne Preis')\\n 114: result = search_and_store_product_matches(conn, receipt['receipt_id'], providers=[provider], included_product_item_ids=[receipt['items'][0]['product_item_id']], use_cache=False)\\n 115: assert result['matches'][0]['status'] == 'needs_review'\\n 116: assert result['matches'][0]['price_text'] is None\\n 117: assert conn.execute('SELECT COUNT(*) AS c FROM grocery_product_matches').fetchone()['c'] == 0\\n 118: \\n 119: \\n 120: def test_stale_cache_is_not_used_without_refresh() -> None:\\n 121: conn = db()\\n 122: provider = CoopProvider(fetcher=lambda _url: 'Coop MilchCHF 1.20')\\n 123: rows = provider.search_products(conn, 'milch', use_cache=False)\\n 124: conn.execute(\\\"UPDATE grocery_product_details_cache SET fetched_at='2000-01-01T00:00:00+00:00'\\\")\\n 125: conn.commit()\\n 126: calls_before = provider.request_count\\n 127: rows = provider.search_products(conn, 'milch', use_cache=True, max_age_seconds=60)\\n 128: assert provider.request_count == calls_before + 1\\n 129: assert rows[0]['source'] == 'web_fetch'\\n 130: \\n 131: \\n 132: def test_provider_matches_feed_optimizer_only_when_safe() -> None:\\n 133: conn = db()\\n 134: receipt = add_demo_migros_receipt(conn, purchase_date='2026-05-19', store_name='Migros Test', items=[{'raw_product_name': 'Milch 1L', 'unit_price_text': '1.50/l', 'total_price_text': '1.50'}])\\n 135: provider = CoopProvider(fetcher=lambda url: 'Prix Garantie Milch 1LCHF 1.201.20/l')\\n 136: search_and_store_product_matches(conn, receipt['receipt_id'], providers=[provider], included_product_item_ids=[receipt['items'][0]['product_item_id']], use_cache=False)\\n 137: run = run_grocery_optimization(conn, receipt['receipt_id'], selected_retailers=['Coop'], max_store_count=1, included_product_item_ids=[receipt['items'][0]['product_item_id']])\\n 138: assert run['summary']['estimated_savings_text'] == '0.30'\\n 139: assert run['product_comparisons'][0]['source_url'].startswith('https://')\", \"exit_code\": 0, \"error\": null}",
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"name": "terminal",
"content": "{\"output\": \"### src/jarvis_finance/services/grocery_price_providers.py 291 360\\n 291: def search_and_store_product_matches(conn: Connection, receipt_id: str, *, providers: list[GroceryProductProvider], included_product_item_ids: list[str] | None = None, max_products: int = 5, use_cache: bool = True, only_safe_matches: bool = True) -> dict[str, Any]:\\n 292: items = _items_for_receipt(conn, receipt_id)\\n 293: if included_product_item_ids is not None:\\n 294: allowed = set(included_product_item_ids)\\n 295: items = [item for item in items if item[\\\"product_item_id\\\"] in allowed]\\n 296: items = items[:max_products]\\n 297: matches: list[dict[str, Any]] = []\\n 298: provider_calls = 0\\n 299: cache_hits = 0\\n 300: for item in items:\\n 301: query = item.get(\\\"normalized_product_name\\\") or item.get(\\\"raw_product_name\\\")\\n 302: for provider in providers:\\n 303: before = provider.request_count\\n 304: results = provider.search_products(conn, query, use_cache=use_cache, max_results=3)\\n 305: provider_calls += max(0, provider.request_count - before)\\n 306: for result in results:\\n 307: if result.get(\\\"source\\\") == \\\"cache\\\":\\n 308: cache_hits += 1\\n 309: if not result.get(\\\"product_url\\\") or not result.get(\\\"product_name\\\"):\\n 310: matches.append({\\\"product_item_id\\\": item[\\\"product_item_id\\\"], **result})\\n 311: continue\\n 312: flags = quality_flags_for_match(item.get(\\\"normalized_product_name\\\") or item.get(\\\"raw_product_name\\\"), result)\\n 313: comparison = compare_product_prices(original_price_text=str(item.get(\\\"total_price_text\\\") or \\\"0\\\"), original_unit_price_text=item.get(\\\"unit_price_text\\\"), candidate_price_text=result.get(\\\"price_decimal_text\\\") or result.get(\\\"price_text\\\"), candidate_unit_price_text=result.get(\\\"unit_price_decimal_text\\\") or result.get(\\\"unit_price_text\\\"), currency=result.get(\\\"currency\\\") or \\\"CHF\\\", quality_flags=flags)\\n 314: status = \\\"suggested\\\" if comparison[\\\"can_calculate_savings\\\"] and (not only_safe_matches or not (set(flags) & UNSAFE_FLAGS)) else \\\"needs_review\\\"\\n 315: if not comparison[\\\"can_calculate_savings\\\"] or not result.get(\\\"price_decimal_text\\\"):\\n 316: matches.append({\\\"product_item_id\\\": item[\\\"product_item_id\\\"], \\\"retailer\\\": result.get(\\\"retailer\\\"), \\\"product_name\\\": result.get(\\\"product_name\\\"), \\\"product_url\\\": result.get(\\\"product_url\\\"), \\\"price_text\\\": result.get(\\\"price_decimal_text\\\") or result.get(\\\"price_text\\\"), \\\"unit_price_text\\\": result.get(\\\"unit_price_text\\\"), \\\"source_fetched_at\\\": result.get(\\\"fetched_at\\\"), \\\"fetched_at\\\": result.get(\\\"fetched_at\\\"), \\\"quality_flags\\\": comparison[\\\"quality_flags\\\"], \\\"confidence\\\": result.get(\\\"confidence\\\"), \\\"status\\\": status, \\\"source\\\": result.get(\\\"source\\\")})\\n 317: continue\\n 318: stored = upsert_product_match(conn, item[\\\"product_item_id\\\"], retailer=result[\\\"retailer\\\"], candidate_product_name=result[\\\"product_name\\\"], candidate_url=result[\\\"product_url\\\"], candidate_price_text=result.get(\\\"price_decimal_text\\\") or result.get(\\\"price_text\\\") or \\\"0\\\", candidate_unit_price_text=result.get(\\\"unit_price_text\\\"), quality_flags=comparison[\\\"quality_flags\\\"], match_confidence=result.get(\\\"confidence\\\") or \\\"0.60\\\", status=status, source=result.get(\\\"source\\\") or \\\"web_fetch\\\", candidate_brand=result.get(\\\"brand\\\"), candidate_package_size=result.get(\\\"package_size\\\"), candidate_unit=result.get(\\\"unit\\\"))\\n 319: matches.append({\\\"product_item_id\\\": item[\\\"product_item_id\\\"], \\\"retailer\\\": result[\\\"retailer\\\"], \\\"product_name\\\": result[\\\"product_name\\\"], \\\"product_url\\\": result[\\\"product_url\\\"], \\\"price_text\\\": result.get(\\\"price_decimal_text\\\") or result.get(\\\"price_text\\\"), \\\"unit_price_text\\\": result.get(\\\"unit_price_text\\\"), \\\"source_fetched_at\\\": result.get(\\\"fetched_at\\\"), \\\"fetched_at\\\": stored.get(\\\"fetched_at\\\"), \\\"quality_flags\\\": comparison[\\\"quality_flags\\\"], \\\"confidence\\\": result.get(\\\"confidence\\\"), \\\"status\\\": status, \\\"source\\\": result.get(\\\"source\\\")})\\n 320: return {\\\"receipt_id\\\": receipt_id, \\\"provider_calls\\\": provider_calls, \\\"cache_hits\\\": cache_hits, \\\"matches\\\": matches}\\n\\n### src/jarvis_finance/services/grocery_optimizer.py 1 260\\n 1: from __future__ import annotations\\n 2: \\n 3: import hashlib\\n 4: import json\\n 5: import re\\n 6: from collections import defaultdict\\n 7: from datetime import datetime, timezone\\n 8: from decimal import Decimal, InvalidOperation\\n 9: from pathlib import Path\\n 10: from sqlite3 import Connection\\n 11: from typing import Any\\n 12: \\n 13: from jarvis_finance.config.settings import find_repo_root, load_settings\\n 14: from jarvis_finance.services.budget_common import new_id, row_to_dict\\n 15: \\n 16: SAFE_RETAILERS = {\\\"Coop\\\", \\\"Aldi Suisse\\\", \\\"Lidl\\\", \\\"Denner\\\", \\\"Otto's\\\", \\\"Migros\\\"}\\n 17: SAFE_FLAGS = {\\\"exact_match\\\", \\\"close_match\\\", \\\"cheaper_private_label\\\"}\\n 18: UNCERTAIN_FLAGS = {\\\"different_pack_size\\\", \\\"needs_review\\\", \\\"bio_vs_non_bio\\\", \\\"brand_vs_private_label\\\"}\\n 19: \\n 20: \\n 21: def _now() -> str:\\n 22: return datetime.now(timezone.utc).isoformat()\\n 23: \\n 24: \\n 25: def _money(value: Any) -> Decimal:\\n 26: try:\\n 27: text = str(value or \\\"0\\\").replace(\\\"CHF\\\", \\\"\\\").replace(\\\"'\\\", \\\"\\\").replace(\\\"’\\\", \\\"\\\").strip().replace(\\\",\\\", \\\".\\\")\\n 28: return Decimal(text or \\\"0\\\").quantize(Decimal(\\\"0.01\\\"))\\n 29: except (InvalidOperation, ValueError):\\n 30: return Decimal(\\\"0.00\\\")\\n 31: \\n 32: \\n 33: def _fmt(value: Decimal | Any) -> str:\\n 34: return f\\\"{_money(value):.2f}\\\"\\n 35: \\n 36: \\n 37: def normalize_product_name(raw_product_name: str) -> dict[str, str]:\\n 38: raw = raw_product_name\\n 39: text = re.sub(r\\\"\\\\b(aktion|rabatt|bonus|cumulus|hit|promo)\\\\b\\\", \\\" \\\", raw, flags=re.I)\\n 40: quantity = re.search(r\\\"\\\\b\\\\d+(?:[.,]\\\\d+)?\\\\s*(?:kg|g|l|ml|stk|stück|x)\\\\b\\\", text, flags=re.I)\\n 41: brand = \\\"M-Budget\\\" if re.search(r\\\"m[- ]?budget\\\", text, flags=re.I) else None\\n 42: text = re.sub(r\\\"m[- ]?budget|bio\\\", \\\" \\\", text, flags=re.I)\\n 43: text = re.sub(r\\\"\\\\b\\\\d+(?:[.,]\\\\d+)?\\\\s*(?:kg|g|l|ml|stk|stück|x)\\\\b\\\", \\\" \\\", text, flags=re.I)\\n 44: words = [w.lower() for w in re.findall(r\\\"[A-Za-zÄÖÜäöüß]+\\\", text) if len(w) > 1]\\n 45: core_map = {\\\"milch\\\": \\\"milch\\\", \\\"eier\\\": \\\"eier\\\", \\\"ei\\\": \\\"eier\\\", \\\"reis\\\": \\\"reis\\\", \\\"poulet\\\": \\\"poulet\\\", \\\"joghurt\\\": \\\"joghurt\\\", \\\"yogurt\\\": \\\"joghurt\\\", \\\"käse\\\": \\\"käse\\\", \\\"kaese\\\": \\\"käse\\\", \\\"waschmittel\\\": \\\"waschmittel\\\", \\\"katzenfutter\\\": \\\"katzenfutter\\\"}\\n 46: core = next((core_map[w] for w in words if w in core_map), \\\" \\\".join(words[:3]).strip() or raw.strip().lower())\\n 47: return {\\\"raw_product_name\\\": raw, \\\"normalized_product_name\\\": core, \\\"brand_hint\\\": brand or \\\"\\\", \\\"quantity_hint\\\": quantity.group(0).replace(\\\" \\\", \\\"\\\") if quantity else \\\"\\\", \\\"confidence\\\": \\\"0.82\\\" if core else \\\"0.50\\\"}\\n 48: \\n 49: \\n 50: def add_demo_migros_receipt(conn: Connection, *, purchase_date: str, store_name: str, items: list[dict[str, Any]], receipt_id: str | None = None) -> dict[str, Any]:\\n 51: rid = receipt_id or new_id(\\\"mreceipt\\\")\\n 52: out_items: list[dict[str, Any]] = []\\n 53: for idx, item in enumerate(items, start=1):\\n 54: norm = normalize_product_name(str(item.get(\\\"raw_product_name\\\") or \\\"\\\"))\\n 55: pid = new_id(\\\"gitem\\\")\\n 56: total = _fmt(item.get(\\\"total_price_text\\\") or item.get(\\\"total\\\") or \\\"0\\\")\\n 57: conn.execute(\\n 58: \\\"\\\"\\\"INSERT INTO grocery_product_items(product_item_id,source_type,receipt_id,receipt_key,source_line_id,purchase_date,store_name,raw_product_name,normalized_product_name,normalization_confidence,brand_hint,quantity_hint,quantity_text,unit,unit_price_text,total_price_text,currency,action_label,include_in_analysis,notes,health_analysis_status,health_flags_json,health_notes,created_at)\\n 59: VALUES (?, 'migros_receipt', ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, 'CHF', ?, 1, ?, 'prepared_not_run', '{}', ?, ?)\\\"\\\"\\\",\\n 60: (pid, rid, f\\\"{purchase_date}:{store_name}\\\", str(idx), purchase_date, store_name, item.get(\\\"raw_product_name\\\"), norm[\\\"normalized_product_name\\\"], norm[\\\"confidence\\\"], norm[\\\"brand_hint\\\"], norm[\\\"quantity_hint\\\"], item.get(\\\"quantity_text\\\"), item.get(\\\"unit\\\"), item.get(\\\"unit_price_text\\\"), total, item.get(\\\"action_label\\\"), item.get(\\\"notes\\\"), \\\"Gesundheitsanalyse später\\\", _now()),\\n 61: )\\n 62: row = row_to_dict(conn.execute(\\\"SELECT * FROM grocery_product_items WHERE product_item_id=?\\\", (pid,)).fetchone())\\n 63: out_items.append(row)\\n 64: conn.commit()\\n 65: return {\\\"receipt_id\\\": rid, \\\"purchase_date\\\": purchase_date, \\\"store_name\\\": store_name, \\\"items\\\": out_items}\\n 66: \\n 67: \\n 68: def _items_for_receipt(conn: Connection, receipt_id: str) -> list[dict[str, Any]]:\\n 69: rows = conn.execute(\\\"SELECT * FROM grocery_product_items WHERE receipt_id=? ORDER BY source_line_id, product_item_id\\\", (receipt_id,)).fetchall()\\n 70: return [row_to_dict(r) for r in rows]\\n 71: \\n 72: \\n 73: def get_grocery_optimizer_dashboard(conn: Connection) -> dict[str, Any]:\\n 74: rows = conn.execute(\\\"\\\"\\\"SELECT receipt_id, purchase_date, store_name, COUNT(*) AS article_count, COALESCE(SUM(CAST(total_price_text AS REAL)),0) AS total_value FROM grocery_product_items GROUP BY receipt_id,purchase_date,store_name ORDER BY purchase_date DESC, receipt_id DESC\\\"\\\"\\\").fetchall()\\n 75: receipts = []\\n 76: for r in rows:\\n 77: items = _items_for_receipt(conn, r[\\\"receipt_id\\\"])\\n 78: receipts.append({\\\"receipt_id\\\": r[\\\"receipt_id\\\"], \\\"purchase_date\\\": r[\\\"purchase_date\\\"], \\\"store_name\\\": r[\\\"store_name\\\"], \\\"article_count\\\": int(r[\\\"article_count\\\"] or 0), \\\"total_text\\\": _fmt(r[\\\"total_value\\\"]), \\\"items\\\": items})\\n 79: return {\\\"purpose\\\": \\\"migros_product_savings_grocery_optimizer_v1\\\", \\\"receipts\\\": receipts, \\\"supported_retailers\\\": sorted(SAFE_RETAILERS - {\\\"Migros\\\"}), \\\"health_analysis_status\\\": \\\"prepared_not_run\\\", \\\"disclaimer\\\": \\\"Keine medizinische Bewertung; keine automatische Bestellung.\\\"}\\n 80: \\n 81: \\n 82: def upsert_product_match(conn: Connection, product_item_id: str, *, retailer: str, candidate_product_name: str, candidate_url: str, candidate_price_text: str, candidate_unit_price_text: str | None = None, quality_flags: list[str] | None = None, match_confidence: str = \\\"0.60\\\", status: str = \\\"suggested\\\", source: str = \\\"manual\\\", candidate_brand: str | None = None, candidate_package_size: str | None = None, candidate_unit: str | None = None) -> dict[str, Any]:\\n 83: if retailer not in SAFE_RETAILERS:\\n 84: raise ValueError(\\\"unsupported_retailer\\\")\\n 85: mid = new_id(\\\"gmatch\\\")\\n 86: flags = quality_flags or [\\\"needs_review\\\"]\\n 87: fetched = _now()\\n 88: source_hash = hashlib.sha256((retailer + candidate_url + candidate_product_name + str(candidate_price_text)).encode()).hexdigest()\\n 89: conn.execute(\\n 90: \\\"\\\"\\\"INSERT INTO grocery_product_matches(match_id,product_item_id,retailer,candidate_product_name,candidate_url,candidate_brand,candidate_package_size,candidate_unit,candidate_price_text,candidate_unit_price_text,price_currency,match_confidence,match_reason,quality_flags_json,fetched_at,source,status)\\n 91: VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, 'CHF', ?, ?, ?, ?, ?, ?)\\\"\\\"\\\",\\n 92: (mid, product_item_id, retailer, candidate_product_name, candidate_url, candidate_brand, candidate_package_size, candidate_unit, _fmt(candidate_price_text), candidate_unit_price_text, match_confidence, \\\"reviewable sourced candidate\\\", json.dumps(flags), fetched, source, status),\\n 93: )\\n 94: if source not in {\\\"web_fetch\\\", \\\"cache\\\"}:\\n 95: conn.execute(\\n 96: \\\"\\\"\\\"INSERT OR REPLACE INTO grocery_product_details_cache(detail_id,retailer,product_url,product_name,price_text,unit_price_text,package_size,ingredients_text,nutrition_json,fetched_at,cache_status,source_hash)\\n 97: VALUES (COALESCE((SELECT detail_id FROM grocery_product_details_cache WHERE retailer=? AND product_url=?), ?), ?, ?, ?, ?, ?, ?, NULL, '{}', ?, 'cached', ?)\\\"\\\"\\\",\\n 98: (retailer, candidate_url, new_id(\\\"gdetail\\\"), retailer, candidate_url, candidate_product_name, _fmt(candidate_price_text), candidate_unit_price_text, candidate_package_size, fetched, source_hash),\\n 99: )\\n 100: conn.commit()\\n 101: return row_to_dict(conn.execute(\\\"SELECT * FROM grocery_product_matches WHERE match_id=?\\\", (mid,)).fetchone())\\n 102: \\n 103: \\n 104: def _matches(conn: Connection, product_item_id: str) -> list[dict[str, Any]]:\\n 105: return [row_to_dict(r) for r in conn.execute(\\\"SELECT * FROM grocery_product_matches WHERE product_item_id=? ORDER BY CAST(match_confidence AS REAL) DESC\\\", (product_item_id,)).fetchall()]\\n 106: \\n 107: \\n 108: def _safe_match(match: dict[str, Any]) -> bool:\\n 109: flags = set(json.loads(match.get(\\\"quality_flags_json\\\") or \\\"[]\\\"))\\n 110: return match.get(\\\"status\\\") in {\\\"suggested\\\", \\\"accepted\\\"} and flags <= SAFE_FLAGS and bool(flags & SAFE_FLAGS)\\n 111: \\n 112: \\n 113: def run_grocery_optimization(conn: Connection, receipt_id: str, *, selected_retailers: list[str], max_store_count: int = 3, included_product_item_ids: list[str] | None = None) -> dict[str, Any]:\\n 114: max_store_count = min(max(1, int(max_store_count or 3)), 3)\\n 115: selected = [r for r in selected_retailers if r in SAFE_RETAILERS]\\n 116: items = _items_for_receipt(conn, receipt_id)\\n 117: if included_product_item_ids is not None:\\n 118: include = set(included_product_item_ids)\\n 119: items = [i for i in items if i[\\\"product_item_id\\\"] in include]\\n 120: else:\\n 121: items = [i for i in items if int(i.get(\\\"include_in_analysis\\\") or 0) == 1]\\n 122: original = sum((_money(i[\\\"total_price_text\\\"]) for i in items), Decimal(\\\"0.00\\\"))\\n 123: \\n 124: # First pass: determine each item's best safe alternative and potential saving.\\n 125: item_options: list[dict[str, Any]] = []\\n 126: retailer_savings: dict[str, Decimal] = defaultdict(lambda: Decimal(\\\"0.00\\\"))\\n 127: uncertain = 0\\n 128: for item in items:\\n 129: item_price = _money(item[\\\"total_price_text\\\"])\\n 130: candidates = [m for m in _matches(conn, item[\\\"product_item_id\\\"]) if m[\\\"retailer\\\"] in selected]\\n 131: safe = [m for m in candidates if _safe_match(m)]\\n 132: best = min(safe, key=lambda m: _money(m[\\\"candidate_price_text\\\"]), default=None)\\n 133: if best:\\n 134: retailer_savings[best[\\\"retailer\\\"]] += max(Decimal(\\\"0.00\\\"), item_price - _money(best[\\\"candidate_price_text\\\"]))\\n 135: elif candidates:\\n 136: uncertain += 1\\n 137: item_options.append({\\\"item\\\": item, \\\"item_price\\\": item_price, \\\"candidates\\\": candidates, \\\"safe\\\": safe, \\\"best\\\": best})\\n 138: \\n 139: allowed_retailers = set(r for r, _saving in sorted(retailer_savings.items(), key=lambda kv: kv[1], reverse=True)[:max_store_count])\\n 140: comparisons = []\\n 141: by_store: dict[str, list[dict[str, Any]]] = defaultdict(list)\\n 142: optimized = Decimal(\\\"0.00\\\")\\n 143: replaceable = 0\\n 144: for option in item_options:\\n 145: item = option[\\\"item\\\"]; item_price = option[\\\"item_price\\\"]\\n 146: safe_in_allowed = [m for m in option[\\\"safe\\\"] if m[\\\"retailer\\\"] in allowed_retailers]\\n 147: best = min(safe_in_allowed, key=lambda m: _money(m[\\\"candidate_price_text\\\"]), default=None)\\n 148: original_best = option[\\\"best\\\"]\\n 149: status = \\\"not_found\\\"\\n 150: savings = Decimal(\\\"0.00\\\")\\n 151: flags: list[str] = []\\n 152: if best:\\n 153: alt = _money(best[\\\"candidate_price_text\\\"])\\n 154: savings = max(Decimal(\\\"0.00\\\"), item_price - alt)\\n 155: optimized += alt\\n 156: replaceable += 1\\n 157: status = \\\"suggested\\\"\\n 158: flags = json.loads(best.get(\\\"quality_flags_json\\\") or \\\"[]\\\")\\n 159: by_store[best[\\\"retailer\\\"]].append({\\\"product\\\": item[\\\"raw_product_name\\\"], \\\"candidate_product_name\\\": best[\\\"candidate_product_name\\\"], \\\"price_text\\\": _fmt(alt), \\\"source_url\\\": best[\\\"candidate_url\\\"]})\\n 160: else:\\n 161: optimized += item_price\\n 162: if original_best and original_best.get(\\\"retailer\\\") not in allowed_retailers:\\n 163: status = \\\"not_selected_due_to_store_limit\\\"\\n 164: flags = json.loads(original_best.get(\\\"quality_flags_json\\\") or \\\"[]\\\")\\n 165: elif option[\\\"candidates\\\"]:\\n 166: status = \\\"needs_review\\\"\\n 167: flags = json.loads(option[\\\"candidates\\\"][0].get(\\\"quality_flags_json\\\") or \\\"[]\\\")\\n 168: comparisons.append({\\\"product_item_id\\\": item[\\\"product_item_id\\\"], \\\"migros_product\\\": item[\\\"raw_product_name\\\"], \\\"migros_price_text\\\": _fmt(item_price), \\\"best_alternative\\\": best[\\\"candidate_product_name\\\"] if best else None, \\\"retailer\\\": best[\\\"retailer\\\"] if best else None, \\\"alternative_price_text\\\": _fmt(best[\\\"candidate_price_text\\\"]) if best else None, \\\"unit_price_text\\\": best.get(\\\"candidate_unit_price_text\\\") if best else None, \\\"savings_text\\\": _fmt(savings), \\\"confidence\\\": best.get(\\\"match_confidence\\\") if best else \\\"0\\\", \\\"status\\\": status, \\\"quality_flags\\\": flags, \\\"source_url\\\": best.get(\\\"candidate_url\\\") if best else None})\\n 169: stores = sorted(by_store.items(), key=lambda kv: len(kv[1]), reverse=True)\\n 170: optimized_lists = [{\\\"variant\\\": \\\"max_3_stores\\\", \\\"store_count\\\": len(stores), \\\"stores\\\": [{\\\"retailer\\\": retailer, \\\"items\\\": rows} for retailer, rows in stores], \\\"not_found_products\\\": [c[\\\"migros_product\\\"] for c in comparisons if c[\\\"status\\\"] == \\\"not_found\\\"], \\\"needs_review_products\\\": [c[\\\"migros_product\\\"] for c in comparisons if c[\\\"status\\\"] == \\\"needs_review\\\"], \\\"store_limit_omitted_products\\\": [c[\\\"migros_product\\\"] for c in comparisons if c[\\\"status\\\"] == \\\"not_selected_due_to_store_limit\\\"]}]\\n 171: savings_total = max(Decimal(\\\"0.00\\\"), original - optimized)\\n 172: quality = \\\"review_required\\\" if uncertain or any(c[\\\"status\\\"] != \\\"suggested\\\" for c in comparisons) else \\\"ok\\\"\\n 173: run_id = new_id(\\\"grun\\\")\\n 174: summary = {\\\"replaceable_product_count\\\": replaceable, \\\"uncertain_product_count\\\": uncertain, \\\"estimated_savings_text\\\": _fmt(savings_total), \\\"optimized_lists\\\": optimized_lists, \\\"product_comparisons\\\": comparisons}\\n 175: conn.execute(\\\"\\\"\\\"INSERT INTO grocery_optimization_runs(run_id,receipt_id,run_date,selected_retailers_json,max_store_count,original_total_text,optimized_total_text,estimated_savings_text,quality_status,summary_json,created_at) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\\"\\\"\\\", (run_id, receipt_id, _now(), json.dumps(selected), max_store_count, _fmt(original), _fmt(optimized), _fmt(savings_total), quality, json.dumps(summary), _now()))\\n 176: conn.commit()\\n 177: return {\\\"run_id\\\": run_id, \\\"receipt_id\\\": receipt_id, \\\"max_store_count\\\": max_store_count, \\\"original_total_text\\\": _fmt(original), \\\"optimized_total_text\\\": _fmt(optimized), \\\"quality_status\\\": quality, \\\"summary\\\": summary, \\\"optimized_lists\\\": optimized_lists, \\\"product_comparisons\\\": comparisons, \\\"health_analysis_status\\\": \\\"prepared_not_run\\\"}\\n 178: \\n 179: def _outside_repo(path: Path, repo_root: Path) -> bool:\\n 180: try:\\n 181: path.resolve().relative_to(repo_root.resolve())\\n 182: return False\\n 183: except ValueError:\\n 184: return True\\n 185: \\n 186: \\n 187: def generate_grocery_optimization_report(conn: Connection, run_id: str, *, reports_dir: Path | None = None, repo_root: Path | None = None) -> dict[str, Any]:\\n 188: repo = (repo_root or find_repo_root()).resolve()\\n 189: if reports_dir is None:\\n 190: reports_dir = load_settings(repo_root=repo).runtime_paths.reports_dir / \\\"grocery_optimizer\\\"\\n 191: reports_dir = reports_dir.resolve()\\n 192: if not _outside_repo(reports_dir, repo):\\n 193: raise ValueError(\\\"reports_dir_must_be_outside_repo\\\")\\n 194: row = conn.execute(\\\"SELECT * FROM grocery_optimization_runs WHERE run_id=?\\\", (run_id,)).fetchone()\\n 195: if not row:\\n 196: raise ValueError(\\\"run_not_found\\\")\\n 197: run = row_to_dict(row); summary = json.loads(run[\\\"summary_json\\\"])\\n 198: items = _items_for_receipt(conn, run[\\\"receipt_id\\\"])\\n 199: date = items[0].get(\\\"purchase_date\\\") if items else run[\\\"run_date\\\"][:10]\\n 200: reports_dir.mkdir(parents=True, exist_ok=True)\\n 201: path = (reports_dir / f\\\"migros_einkaufsoptimierung_{date}_{run_id}.md\\\").resolve()\\n 202: if reports_dir not in path.parents:\\n 203: raise ValueError(\\\"report_path_must_stay_under_runtime_reports_dir\\\")\\n 204: lines = [f\\\"# Migros Einkaufsoptimierung – {date}\\\", \\\"\\\", \\\"## Originalwarenkorb\\\", f\\\"- Artikel: {len(items)}\\\", f\\\"- Originaltotal: CHF {run['original_total_text']}\\\", \\\"\\\", \\\"## Optimierung\\\", f\\\"- Optimiertes Total: CHF {run['optimized_total_text']}\\\", f\\\"- Geschätzte Ersparnis: CHF {run['estimated_savings_text']}\\\", f\\\"- Qualität: {run['quality_status']}\\\", \\\"\\\", \\\"## Produkte ohne sichere Alternative\\\"]\\n 205: lines += [f\\\"- {p}\\\" for p in summary.get(\\\"optimized_lists\\\", [{}])[0].get(\\\"not_found_products\\\", [])] or [\\\"- keine\\\"]\\n 206: lines += [\\\"\\\", \\\"## Unsichere Matches\\\"] + ([f\\\"- {p}\\\" for p in summary.get(\\\"optimized_lists\\\", [{}])[0].get(\\\"needs_review_products\\\", [])] or [\\\"- keine\\\"])\\n 207: lines += [\\\"\\\", \\\"## Quellen\\\", \\\"Alle Alternativen enthalten Quellen-URLs und Zeitstempel im lokalen Cache.\\\", \\\"\\\", \\\"## Disclaimer\\\", \\\"Preise können sich ändern. Produktgleichheit nicht garantiert. Verfügbarkeit nicht garantiert. Dies ist keine medizinische Empfehlung. Keine automatische Bestellung.\\\"]\\n 208: path.write_text(\\\"\\\\n\\\".join(lines), encoding=\\\"utf-8\\\")\\n 209: conn.execute(\\\"UPDATE grocery_optimization_runs SET report_path=? WHERE run_id=?\\\", (str(path), run_id)); conn.commit()\\n 210: return {\\\"run_id\\\": run_id, \\\"format\\\": \\\"markdown\\\", \\\"report_path\\\": str(path), \\\"runtime_only\\\": True}\\n\\n### src/jarvis_finance/api/routers/budget.py 1 140\\n 1: from __future__ import annotations\\n 2: \\n 3: from fastapi import APIRouter, Depends\\n 4: from sqlite3 import Connection\\n 5: \\n 6: from jarvis_finance.api.dependencies import get_db\\n 7: from jarvis_finance.services.budget_accounts import archive_budget_account, confirm_create_budget_account, create_budget_account_preview, list_budget_accounts\\n 8: from jarvis_finance.services.budget_categories import (\\n 9: archive_category,\\n 10: archive_tag,\\n 11: confirm_budget_category_cleanup,\\n 12: confirm_category_merge,\\n 13: confirm_create_category,\\n 14: confirm_create_tag,\\n 15: create_category_preview,\\n 16: create_tag_preview,\\n 17: delete_empty_category,\\n 18: list_category_tree_grouped,\\n 19: list_categories,\\n 20: list_tags,\\n 21: preview_budget_category_cleanup,\\n 22: preview_category_merges,\\n 23: reorder_categories,\\n 24: update_category,\\n 25: )\\n 26: from jarvis_finance.services.budget_csv_imports import import_budget_csv_text, import_profile_specs\\n 27: from jarvis_finance.services.budget_imports import (\\n 28: archive_reference_year_candidates,\\n 29: apply_budget_rules_to_open_candidates,\\n 30: apply_merchant_to_open_candidates,\\n 31: batch_confirm_safe_candidates,\\n 32: batch_mark_candidates,\\n 33: confirm_migros_receipts_2026,\\n 34: bulk_update_transaction_candidate_category,\\n 35: confirm_candidate_split,\\n 36: confirm_transaction_candidate,\\n 37: create_budget_rule,\\n 38: create_merchant,\\n 39: create_merchant_alias,\\n 40: create_candidate_split,\\n 41: create_review_category_for_candidate,\\n 42: deactivate_budget_rule,\\n 43: detect_duplicate_candidates,\\n 44: ignore_transaction_candidate,\\n 45: list_budget_rules,\\n 46: list_merchants,\\n 47: list_transaction_candidates,\\n 48: merge_merchants,\\n 49: mark_candidate_transfer,\\n 50: mark_candidate_type,\\n 51: preview_migros_receipts_2026,\\n 52: preview_batch_confirm_candidates,\\n 53: preview_safe_auto_candidates,\\n 54: preview_transaction_candidate,\\n 55: prioritize_budget_rule,\\n 56: reclassify_bank_income_candidates,\\n 57: reopen_transaction_candidate,\\n 58: review_candidate_summary,\\n 59: seed_bank_transfer_candidates_from_rows,\\n 60: seed_credit_card_candidates_from_rows,\\n 61: seed_migros_candidates_from_rows,\\n 62: seed_transaction_candidates_from_csv_text,\\n 63: seed_transaction_candidates_from_rows,\\n 64: test_budget_rule,\\n 65: update_budget_rule,\\n 66: update_merchant_category,\\n 67: update_transaction_candidate_category,\\n 68: )\\n 69: from jarvis_finance.services.budget_analytics import get_monthly_comparison\\n 70: from jarvis_finance.services.budget_analytics_v2 import get_budget_dashboard_cockpit, get_budget_vs_actual_analysis\\n 71: from jarvis_finance.services.budget_data_explorer import get_budget_data_explorer, get_budget_deviation_analysis, get_category_analysis_v2, get_merchant_analysis\\n 72: from jarvis_finance.services.budget_overview import get_budget_charts_2026, get_budget_overview, get_budget_status_by_category, get_category_month_detail, get_category_summary, get_income_status, get_monthly_summary\\n 73: from jarvis_finance.services.budget_planning import (\\n 74: confirm_budget_planning_batch,\\n 75: confirm_category_budget_values,\\n 76: get_budget_planning_audit_timeline,\\n 77: get_budget_planning_matrix,\\n 78: preview_budget_planning_batch,\\n 79: preview_budget_planning_excel_template,\\n 80: preview_category_budget_values,\\n 81: )\\n 82: from jarvis_finance.services.budget_recurring import (\\n 83: archive_recurring_payment,\\n 84: confirm_manual_recurring_payment,\\n 85: confirm_recurring_candidate_action,\\n 86: detect_recurring_payment_candidates,\\n 87: get_recurring_dashboard,\\n 88: preview_manual_recurring_payment,\\n 89: preview_recurring_candidate_action,\\n 90: )\\n 91: from jarvis_finance.services.budget_monthly_import import (\\n 92: apply_rule_suggestion,\\n 93: get_import_history,\\n 94: get_monthly_import_dashboard,\\n 95: list_rule_suggestions,\\n 96: preview_drive_monthly_import,\\n 97: reject_rule_suggestion,\\n 98: run_monthly_import_dry_run,\\n 99: scan_budget_drive_files,\\n 100: scan_google_drive_budget_folder,\\n 101: )\\n 102: from jarvis_finance.services.grocery_optimizer import (\\n 103: add_demo_migros_receipt,\\n 104: generate_grocery_optimization_report,\\n 105: get_grocery_optimizer_dashboard,\\n 106: run_grocery_optimization,\\n 107: upsert_product_match,\\n 108: )\\n 109: from jarvis_finance.services.grocery_price_providers import provider_for_retailer, search_and_store_product_matches\\n 110: from jarvis_finance.services.budget_plans import (\\n 111: archive_budget_plan_item,\\n 112: confirm_budget_plan_item,\\n 113: confirm_income_plan_templates,\\n 114: confirm_update_income_plan_item,\\n 115: create_budget_plan_item_preview,\\n 116: list_budget_plan_items,\\n 117: list_income_plan_items,\\n 118: list_income_seed_candidates,\\n 119: preview_income_plan_templates,\\n 120: preview_update_income_plan_item,\\n 121: reorder_income_plan_items,\\n 122: )\\n 123: from jarvis_finance.services.budget_seed_review import (\\n 124: confirm_budget_plan_takeover,\\n 125: confirm_clear_category_takeover,\\n 126: confirm_seed_candidate,\\n 127: convert_unclean_range,\\n 128: ignore_seed_candidate,\\n 129: list_seed_candidates,\\n 130: preview_budget_plan_takeover,\\n 131: preview_clear_category_takeover,\\n 132: preview_seed_candidate,\\n 133: reopen_seed_candidate,\\n 134: seed_budget_candidates_from_rows,\\n 135: set_seed_candidate_status,\\n 136: )\\n 137: from jarvis_finance.services.budget_transactions import (\\n 138: confirm_budget_transaction,\\n 139: confirm_reverse_budget_transaction,\\n 140: confirm_transfer,\\n\\n### src/jarvis_finance/storage/migrations.py 1 220\\n 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 = 33\\n 10: MIGRATION_NAME = \\\"033_grocery_product_price_providers_v1\\\"\\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: \\\"is_currency_hedged\\\": \\\"INTEGER NOT NULL DEFAULT 0\\\",\\n 20: \\\"hedged_to_currency\\\": \\\"TEXT\\\",\\n 21: \\\"hedge_status\\\": \\\"TEXT NOT NULL DEFAULT 'unknown'\\\",\\n 22: \\\"base_exposure_currency\\\": \\\"TEXT\\\",\\n 23: \\\"trading_currency\\\": \\\"TEXT\\\",\\n 24: \\\"instrument_status\\\": \\\"TEXT NOT NULL DEFAULT 'unknown'\\\",\\n 25: \\\"valuation_policy\\\": \\\"TEXT NOT NULL DEFAULT 'live_price'\\\",\\n 26: \\\"corporate_action_status\\\": \\\"TEXT NOT NULL DEFAULT 'not_checked'\\\",\\n 27: \\\"split_or_corporate_action_review_required\\\": \\\"INTEGER NOT NULL DEFAULT 0\\\",\\n 28: }\\n 29: \\n 30: CATALOG_OPTIONAL_COLUMNS = {\\n 31: \\\"last_price\\\": \\\"TEXT\\\",\\n 32: \\\"price_currency\\\": \\\"TEXT\\\",\\n 33: \\\"price_date\\\": \\\"TEXT\\\",\\n 34: \\\"price_source\\\": \\\"TEXT\\\",\\n 35: \\\"exchange_name\\\": \\\"TEXT\\\",\\n 36: \\\"mic\\\": \\\"TEXT\\\",\\n 37: \\\"security_type\\\": \\\"TEXT\\\",\\n 38: }\\n 39: \\n 40: TEXT_AFFINITY_COLUMNS = {\\n 41: \\\"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 42: \\\"crypto_holdings\\\": {\\\"quantity\\\", \\\"legacy_snapshot_value_original\\\", \\\"legacy_snapshot_value_chf\\\"},\\n 43: \\\"crypto_transactions\\\": {\\\"quantity\\\", \\\"price_original\\\", \\\"gross_amount_original\\\", \\\"fee_quantity\\\", \\\"fee_original\\\", \\\"fx_rate_to_chf\\\", \\\"amount_chf\\\"},\\n 44: \\\"crypto_prices\\\": {\\\"price\\\", \\\"market_cap\\\", \\\"volume_24h\\\", \\\"change_24h_pct\\\"},\\n 45: \\\"fx_rates\\\": {\\\"rate\\\"},\\n 46: \\\"market_prices\\\": {\\\"open\\\", \\\"high\\\", \\\"low\\\", \\\"close\\\", \\\"adjusted_close\\\"},\\n 47: }\\n 48: \\n 49: \\n 50: def utc_now() -> str:\\n 51: return datetime.now(timezone.utc).isoformat()\\n 52: \\n 53: \\n 54: def checksum_sql(sql: str) -> str:\\n 55: return hashlib.sha256(sql.encode(\\\"utf-8\\\")).hexdigest()\\n 56: \\n 57: \\n 58: def get_schema_version(conn: Connection) -> int:\\n 59: row = conn.execute(\\\"SELECT MAX(version) AS version FROM schema_migrations\\\").fetchone()\\n 60: return int(row[\\\"version\\\"] or 0) if row else 0\\n 61: \\n 62: \\n 63: def _table_columns(conn: Connection, table: str) -> dict[str, str]:\\n 64: return {row[\\\"name\\\"]: (row[\\\"type\\\"] or \\\"\\\") for row in conn.execute(f\\\"PRAGMA table_info({table})\\\").fetchall()}\\n 65: \\n 66: \\n 67: def _add_missing_instrument_columns(conn: Connection) -> None:\\n 68: existing = _table_columns(conn, \\\"instruments\\\")\\n 69: for name, col_type in INSTRUMENT_OPTIONAL_COLUMNS.items():\\n 70: if name not in existing:\\n 71: conn.execute(f\\\"ALTER TABLE instruments ADD COLUMN {name} {col_type}\\\")\\n 72: \\n 73: \\n 74: def _rebuild_table_with_text_columns(conn: Connection, table: str, text_columns: set[str]) -> None:\\n 75: cols = conn.execute(f\\\"PRAGMA table_info({table})\\\").fetchall()\\n 76: if not cols:\\n 77: return\\n 78: needs_rebuild = any(row[\\\"name\\\"] in text_columns and (row[\\\"type\\\"] or \\\"\\\").upper() != \\\"TEXT\\\" for row in cols)\\n 79: if not needs_rebuild:\\n 80: return\\n 81: tmp = f\\\"{table}__text_migration\\\"\\n 82: col_defs: list[str] = []\\n 83: pk_cols = [row[\\\"name\\\"] for row in cols if row[\\\"pk\\\"]]\\n 84: for row in cols:\\n 85: name = row[\\\"name\\\"]\\n 86: col_type = \\\"TEXT\\\" if name in text_columns else (row[\\\"type\\\"] or \\\"TEXT\\\")\\n 87: parts = [name, col_type]\\n 88: if row[\\\"pk\\\"] and len(pk_cols) == 1:\\n 89: parts.append(\\\"PRIMARY KEY\\\")\\n 90: if row[\\\"notnull\\\"]:\\n 91: parts.append(\\\"NOT NULL\\\")\\n 92: if row[\\\"dflt_value\\\"] is not None:\\n 93: parts.append(f\\\"DEFAULT {row['dflt_value']}\\\")\\n 94: col_defs.append(\\\" \\\".join(parts))\\n 95: if len(pk_cols) > 1:\\n 96: col_defs.append(\\\"PRIMARY KEY (\\\" + \\\", \\\".join(pk_cols) + \\\")\\\")\\n 97: conn.execute(f\\\"DROP TABLE IF EXISTS {tmp}\\\")\\n 98: conn.execute(f\\\"CREATE TABLE {tmp} (\\\" + \\\", \\\".join(col_defs) + \\\")\\\")\\n 99: names = [row[\\\"name\\\"] for row in cols]\\n 100: select_exprs = [f\\\"CAST({name} AS TEXT)\\\" if name in text_columns else name for name in names]\\n 101: conn.execute(f\\\"INSERT INTO {tmp} ({', '.join(names)}) SELECT {', '.join(select_exprs)} FROM {table}\\\")\\n 102: conn.execute(f\\\"DROP TABLE {table}\\\")\\n 103: conn.execute(f\\\"ALTER TABLE {tmp} RENAME TO {table}\\\")\\n 104: if table == \\\"crypto_holdings\\\":\\n 105: conn.execute(\\\"CREATE UNIQUE INDEX IF NOT EXISTS idx_crypto_holdings_asset_wallet ON crypto_holdings(asset_id, wallet_id)\\\")\\n 106: \\n 107: \\n 108: def _add_missing_columns(conn: Connection, table: str, columns: dict[str, str]) -> None:\\n 109: existing = _table_columns(conn, table)\\n 110: for name, col_type in columns.items():\\n 111: if name not in existing:\\n 112: conn.execute(f\\\"ALTER TABLE {table} ADD COLUMN {name} {col_type}\\\")\\n 113: \\n 114: \\n 115: def _create_broker_bank_mapping_tables(conn: Connection) -> None:\\n 116: conn.executescript(\\n 117: \\\"\\\"\\\"\\n 118: CREATE TABLE IF NOT EXISTS instrument_mappings (\\n 119: mapping_id TEXT PRIMARY KEY,\\n 120: source_name TEXT,\\n 121: source_platform TEXT NOT NULL,\\n 122: source_account TEXT,\\n 123: source_label TEXT NOT NULL,\\n 124: normalized_name TEXT NOT NULL,\\n 125: isin TEXT,\\n 126: ticker TEXT,\\n 127: exchange TEXT,\\n 128: currency TEXT,\\n 129: asset_class TEXT NOT NULL DEFAULT 'other',\\n 130: source_instrument_name TEXT,\\n 131: source_isin TEXT,\\n 132: source_ticker TEXT,\\n 133: source_exchange TEXT,\\n 134: source_currency TEXT,\\n 135: instrument_id TEXT REFERENCES instruments(instrument_id),\\n 136: mapping_status TEXT NOT NULL DEFAULT 'needs_manual_review',\\n 137: confidence TEXT NOT NULL DEFAULT '0',\\n 138: quality_flags_json TEXT,\\n 139: notes TEXT,\\n 140: created_at TEXT NOT NULL,\\n 141: updated_at TEXT\\n 142: );\\n 143: \\n 144: CREATE TABLE IF NOT EXISTS platform_account_mappings (\\n 145: mapping_id TEXT PRIMARY KEY,\\n 146: source_name TEXT,\\n 147: source_platform TEXT NOT NULL,\\n 148: source_platform_label TEXT,\\n 149: source_account_label TEXT NOT NULL,\\n 150: normalized_platform TEXT NOT NULL,\\n 151: normalized_account_name TEXT NOT NULL,\\n 152: source_account_type TEXT,\\n 153: account_type TEXT NOT NULL DEFAULT 'other',\\n 154: source_currency TEXT,\\n 155: currency TEXT,\\n 156: platform_id TEXT REFERENCES platforms(platform_id),\\n 157: account_id TEXT REFERENCES accounts(account_id),\\n 158: internal_platform_id TEXT REFERENCES platforms(platform_id),\\n 159: internal_account_id TEXT REFERENCES accounts(account_id),\\n 160: mapping_status TEXT NOT NULL DEFAULT 'needs_manual_review',\\n 161: quality_flags_json TEXT,\\n 162: notes TEXT,\\n 163: created_at TEXT NOT NULL,\\n 164: updated_at TEXT\\n 165: );\\n 166: \\n 167: CREATE TABLE IF NOT EXISTS broker_import_dry_runs (\\n 168: dry_run_id TEXT PRIMARY KEY,\\n 169: source_name TEXT,\\n 170: source_platform TEXT NOT NULL,\\n 171: source_file_label TEXT,\\n 172: source_file_type TEXT NOT NULL,\\n 173: source_hash TEXT,\\n 174: source_filename_hash TEXT,\\n 175: detected_snapshot_date TEXT,\\n 176: snapshot_date_status TEXT NOT NULL DEFAULT 'missing',\\n 177: detected_sections_json TEXT NOT NULL,\\n 178: field_coverage_json TEXT,\\n 179: rows_total INTEGER NOT NULL DEFAULT 0,\\n 180: rows_position_candidates INTEGER NOT NULL DEFAULT 0,\\n 181: rows_cash_candidates INTEGER NOT NULL DEFAULT 0,\\n 182: candidate_positions INTEGER NOT NULL DEFAULT 0,\\n 183: candidate_cash_rows INTEGER NOT NULL DEFAULT 0,\\n 184: mapped_positions INTEGER NOT NULL DEFAULT 0,\\n 185: blocked_positions INTEGER NOT NULL DEFAULT 0,\\n 186: warnings_count INTEGER NOT NULL DEFAULT 0,\\n 187: errors_count INTEGER NOT NULL DEFAULT 0,\\n 188: quality_flags_json TEXT NOT NULL,\\n 189: summary_json TEXT NOT NULL DEFAULT '{}',\\n 190: created_at TEXT NOT NULL,\\n 191: notes TEXT\\n 192: );\\n 193: \\\"\\\"\\\"\\n 194: )\\n 195: _add_missing_columns(conn, \\\"instrument_mappings\\\", {\\n 196: \\\"source_name\\\": \\\"TEXT\\\",\\n 197: \\\"source_platform\\\": \\\"TEXT\\\",\\n 198: \\\"source_account\\\": \\\"TEXT\\\",\\n 199: \\\"source_label\\\": \\\"TEXT\\\",\\n 200: \\\"normalized_name\\\": \\\"TEXT\\\",\\n 201: \\\"isin\\\": \\\"TEXT\\\",\\n 202: \\\"ticker\\\": \\\"TEXT\\\",\\n 203: \\\"exchange\\\": \\\"TEXT\\\",\\n 204: \\\"currency\\\": \\\"TEXT\\\",\\n 205: \\\"asset_class\\\": \\\"TEXT DEFAULT 'other'\\\",\\n 206: \\\"confidence\\\": \\\"TEXT DEFAULT '0'\\\",\\n 207: })\\n 208: _add_missing_columns(conn, \\\"platform_account_mappings\\\", {\\n 209: \\\"source_platform\\\": \\\"TEXT\\\",\\n 210: \\\"normalized_platform\\\": \\\"TEXT\\\",\\n 211: \\\"normalized_account_name\\\": \\\"TEXT\\\",\\n 212: \\\"account_type\\\": \\\"TEXT DEFAULT 'other'\\\",\\n 213: \\\"currency\\\": \\\"TEXT\\\",\\n 214: \\\"internal_platform_id\\\": \\\"TEXT\\\",\\n 215: \\\"internal_account_id\\\": \\\"TEXT\\\",\\n 216: })\\n 217: _add_missing_columns(conn, \\\"broker_import_dry_runs\\\", {\\n 218: \\\"source_platform\\\": \\\"TEXT\\\",\\n 219: \\\"source_filename_hash\\\": \\\"TEXT\\\",\\n 220: \\\"detected_snapshot_date\\\": \\\"TEXT\\\",\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_eIrFTzdE9o7gSMGuSexePtWv"
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"arguments": "{\"command\":\"python3 - <<'PY'\\nfrom pathlib import Path\\ntext=Path('src/jarvis_finance/storage/migrations.py').read_text().splitlines()\\nfor idx,line in enumerate(text,1):\\n if 'grocery_product_details_cache' in line or 'grocery_product_matches' in line or 'MIGRATION_VERSION' in line:\\n start=max(1,idx-25); end=min(len(text),idx+45)\\n print('\\\\n--- around',idx,'---')\\n for i in range(start-1,end): print(f'{i+1:4}: {text[i]}')\\nPY\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
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"role": "tool",
"name": "terminal",
"content": "{\"output\": \"--- around 9 ---\\n 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 = 33\\n 10: MIGRATION_NAME = \\\"033_grocery_product_price_providers_v1\\\"\\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: \\\"is_currency_hedged\\\": \\\"INTEGER NOT NULL DEFAULT 0\\\",\\n 20: \\\"hedged_to_currency\\\": \\\"TEXT\\\",\\n 21: \\\"hedge_status\\\": \\\"TEXT NOT NULL DEFAULT 'unknown'\\\",\\n 22: \\\"base_exposure_currency\\\": \\\"TEXT\\\",\\n 23: \\\"trading_currency\\\": \\\"TEXT\\\",\\n 24: \\\"instrument_status\\\": \\\"TEXT NOT NULL DEFAULT 'unknown'\\\",\\n 25: \\\"valuation_policy\\\": \\\"TEXT NOT NULL DEFAULT 'live_price'\\\",\\n 26: \\\"corporate_action_status\\\": \\\"TEXT NOT NULL DEFAULT 'not_checked'\\\",\\n 27: \\\"split_or_corporate_action_review_required\\\": \\\"INTEGER NOT NULL DEFAULT 0\\\",\\n 28: }\\n 29: \\n 30: CATALOG_OPTIONAL_COLUMNS = {\\n 31: \\\"last_price\\\": \\\"TEXT\\\",\\n 32: \\\"price_currency\\\": \\\"TEXT\\\",\\n 33: \\\"price_date\\\": \\\"TEXT\\\",\\n 34: \\\"price_source\\\": \\\"TEXT\\\",\\n 35: \\\"exchange_name\\\": \\\"TEXT\\\",\\n 36: \\\"mic\\\": \\\"TEXT\\\",\\n 37: \\\"security_type\\\": \\\"TEXT\\\",\\n 38: }\\n 39: \\n 40: TEXT_AFFINITY_COLUMNS = {\\n 41: \\\"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 42: \\\"crypto_holdings\\\": {\\\"quantity\\\", \\\"legacy_snapshot_value_original\\\", \\\"legacy_snapshot_value_chf\\\"},\\n 43: \\\"crypto_transactions\\\": {\\\"quantity\\\", \\\"price_original\\\", \\\"gross_amount_original\\\", \\\"fee_quantity\\\", \\\"fee_original\\\", \\\"fx_rate_to_chf\\\", \\\"amount_chf\\\"},\\n 44: \\\"crypto_prices\\\": {\\\"price\\\", \\\"market_cap\\\", \\\"volume_24h\\\", \\\"change_24h_pct\\\"},\\n 45: \\\"fx_rates\\\": {\\\"rate\\\"},\\n 46: \\\"market_prices\\\": {\\\"open\\\", \\\"high\\\", \\\"low\\\", \\\"close\\\", \\\"adjusted_close\\\"},\\n 47: }\\n 48: \\n 49: \\n 50: def utc_now() -> str:\\n 51: return datetime.now(timezone.utc).isoformat()\\n 52: \\n 53: \\n 54: def checksum_sql(sql: str) -> str:\\n\\n--- around 1263 ---\\n1238: receipt_id TEXT NOT NULL,\\n1239: receipt_key TEXT,\\n1240: source_line_id TEXT,\\n1241: purchase_date TEXT,\\n1242: store_name TEXT,\\n1243: raw_product_name TEXT NOT NULL,\\n1244: normalized_product_name TEXT,\\n1245: normalization_confidence TEXT NOT NULL DEFAULT '0',\\n1246: brand_hint TEXT,\\n1247: quantity_hint TEXT,\\n1248: quantity_text TEXT,\\n1249: unit TEXT,\\n1250: unit_price_text TEXT,\\n1251: total_price_text TEXT NOT NULL,\\n1252: currency TEXT NOT NULL DEFAULT 'CHF',\\n1253: action_label TEXT,\\n1254: include_in_analysis INTEGER NOT NULL DEFAULT 1,\\n1255: notes TEXT,\\n1256: health_analysis_status TEXT NOT NULL DEFAULT 'prepared_not_run',\\n1257: health_flags_json TEXT NOT NULL DEFAULT '{}',\\n1258: health_notes TEXT,\\n1259: created_at TEXT NOT NULL\\n1260: );\\n1261: CREATE INDEX IF NOT EXISTS idx_grocery_items_receipt ON grocery_product_items(receipt_id, purchase_date);\\n1262: \\n1263: CREATE TABLE IF NOT EXISTS grocery_product_matches (\\n1264: match_id TEXT PRIMARY KEY,\\n1265: product_item_id TEXT NOT NULL REFERENCES grocery_product_items(product_item_id),\\n1266: retailer TEXT NOT NULL,\\n1267: candidate_product_name TEXT NOT NULL,\\n1268: candidate_url TEXT,\\n1269: candidate_brand TEXT,\\n1270: candidate_package_size TEXT,\\n1271: candidate_unit TEXT,\\n1272: candidate_price_text TEXT,\\n1273: candidate_unit_price_text TEXT,\\n1274: price_currency TEXT NOT NULL DEFAULT 'CHF',\\n1275: match_confidence TEXT NOT NULL DEFAULT '0',\\n1276: match_reason TEXT,\\n1277: quality_flags_json TEXT NOT NULL DEFAULT '[]',\\n1278: fetched_at TEXT NOT NULL,\\n1279: source TEXT NOT NULL DEFAULT 'manual',\\n1280: status TEXT NOT NULL DEFAULT 'suggested'\\n1281: );\\n1282: CREATE INDEX IF NOT EXISTS idx_grocery_matches_item ON grocery_product_matches(product_item_id, status);\\n1283: \\n1284: CREATE TABLE IF NOT EXISTS grocery_product_details_cache (\\n1285: detail_id TEXT PRIMARY KEY,\\n1286: retailer TEXT NOT NULL,\\n1287: product_url TEXT NOT NULL,\\n1288: product_name TEXT,\\n1289: price_text TEXT,\\n1290: unit_price_text TEXT,\\n1291: package_size TEXT,\\n1292: ingredients_text TEXT,\\n1293: nutrition_json TEXT NOT NULL DEFAULT '{}',\\n1294: fetched_at TEXT NOT NULL,\\n1295: cache_status TEXT NOT NULL DEFAULT 'cached',\\n1296: source_hash TEXT\\n1297: );\\n1298: CREATE UNIQUE INDEX IF NOT EXISTS idx_grocery_detail_cache_url ON grocery_product_details_cache(retailer, product_url);\\n1299: \\n1300: CREATE TABLE IF NOT EXISTS grocery_optimization_runs (\\n1301: run_id TEXT PRIMARY KEY,\\n1302: receipt_id TEXT NOT NULL,\\n1303: run_date TEXT NOT NULL,\\n1304: selected_retailers_json TEXT NOT NULL,\\n1305: max_store_count INTEGER NOT NULL DEFAULT 3,\\n1306: original_total_text TEXT NOT NULL,\\n1307: optimized_total_text TEXT NOT NULL,\\n1308: estimated_savings_text TEXT NOT NULL,\\n\\n--- around 1282 ---\\n1257: health_flags_json TEXT NOT NULL DEFAULT '{}',\\n1258: health_notes TEXT,\\n1259: created_at TEXT NOT NULL\\n1260: );\\n1261: CREATE INDEX IF NOT EXISTS idx_grocery_items_receipt ON grocery_product_items(receipt_id, purchase_date);\\n1262: \\n1263: CREATE TABLE IF NOT EXISTS grocery_product_matches (\\n1264: match_id TEXT PRIMARY KEY,\\n1265: product_item_id TEXT NOT NULL REFERENCES grocery_product_items(product_item_id),\\n1266: retailer TEXT NOT NULL,\\n1267: candidate_product_name TEXT NOT NULL,\\n1268: candidate_url TEXT,\\n1269: candidate_brand TEXT,\\n1270: candidate_package_size TEXT,\\n1271: candidate_unit TEXT,\\n1272: candidate_price_text TEXT,\\n1273: candidate_unit_price_text TEXT,\\n1274: price_currency TEXT NOT NULL DEFAULT 'CHF',\\n1275: match_confidence TEXT NOT NULL DEFAULT '0',\\n1276: match_reason TEXT,\\n1277: quality_flags_json TEXT NOT NULL DEFAULT '[]',\\n1278: fetched_at TEXT NOT NULL,\\n1279: source TEXT NOT NULL DEFAULT 'manual',\\n1280: status TEXT NOT NULL DEFAULT 'suggested'\\n1281: );\\n1282: CREATE INDEX IF NOT EXISTS idx_grocery_matches_item ON grocery_product_matches(product_item_id, status);\\n1283: \\n1284: CREATE TABLE IF NOT EXISTS grocery_product_details_cache (\\n1285: detail_id TEXT PRIMARY KEY,\\n1286: retailer TEXT NOT NULL,\\n1287: product_url TEXT NOT NULL,\\n1288: product_name TEXT,\\n1289: price_text TEXT,\\n1290: unit_price_text TEXT,\\n1291: package_size TEXT,\\n1292: ingredients_text TEXT,\\n1293: nutrition_json TEXT NOT NULL DEFAULT '{}',\\n1294: fetched_at TEXT NOT NULL,\\n1295: cache_status TEXT NOT NULL DEFAULT 'cached',\\n1296: source_hash TEXT\\n1297: );\\n1298: CREATE UNIQUE INDEX IF NOT EXISTS idx_grocery_detail_cache_url ON grocery_product_details_cache(retailer, product_url);\\n1299: \\n1300: CREATE TABLE IF NOT EXISTS grocery_optimization_runs (\\n1301: run_id TEXT PRIMARY KEY,\\n1302: receipt_id TEXT NOT NULL,\\n1303: run_date TEXT NOT NULL,\\n1304: selected_retailers_json TEXT NOT NULL,\\n1305: max_store_count INTEGER NOT NULL DEFAULT 3,\\n1306: original_total_text TEXT NOT NULL,\\n1307: optimized_total_text TEXT NOT NULL,\\n1308: estimated_savings_text TEXT NOT NULL,\\n1309: quality_status TEXT NOT NULL,\\n1310: summary_json TEXT NOT NULL,\\n1311: report_path TEXT,\\n1312: created_at TEXT NOT NULL\\n1313: );\\n1314: CREATE INDEX IF NOT EXISTS idx_grocery_runs_receipt ON grocery_optimization_runs(receipt_id, created_at);\\n1315: \\\"\\\"\\\"\\n1316: )\\n1317: \\n1318: \\n1319: def _add_grocery_price_provider_v1_columns(conn: Connection) -> None:\\n1320: existing = _table_columns(conn, \\\"grocery_product_details_cache\\\")\\n1321: columns = {\\n1322: \\\"brand\\\": \\\"TEXT\\\",\\n1323: \\\"image_url\\\": \\\"TEXT\\\",\\n1324: \\\"price_decimal_text\\\": \\\"TEXT\\\",\\n1325: \\\"currency\\\": \\\"TEXT NOT NULL DEFAULT 'CHF'\\\",\\n1326: \\\"unit\\\": \\\"TEXT\\\",\\n1327: \\\"unit_price_decimal_text\\\": \\\"TEXT\\\",\\n\\n--- around 1284 ---\\n1259: created_at TEXT NOT NULL\\n1260: );\\n1261: CREATE INDEX IF NOT EXISTS idx_grocery_items_receipt ON grocery_product_items(receipt_id, purchase_date);\\n1262: \\n1263: CREATE TABLE IF NOT EXISTS grocery_product_matches (\\n1264: match_id TEXT PRIMARY KEY,\\n1265: product_item_id TEXT NOT NULL REFERENCES grocery_product_items(product_item_id),\\n1266: retailer TEXT NOT NULL,\\n1267: candidate_product_name TEXT NOT NULL,\\n1268: candidate_url TEXT,\\n1269: candidate_brand TEXT,\\n1270: candidate_package_size TEXT,\\n1271: candidate_unit TEXT,\\n1272: candidate_price_text TEXT,\\n1273: candidate_unit_price_text TEXT,\\n1274: price_currency TEXT NOT NULL DEFAULT 'CHF',\\n1275: match_confidence TEXT NOT NULL DEFAULT '0',\\n1276: match_reason TEXT,\\n1277: quality_flags_json TEXT NOT NULL DEFAULT '[]',\\n1278: fetched_at TEXT NOT NULL,\\n1279: source TEXT NOT NULL DEFAULT 'manual',\\n1280: status TEXT NOT NULL DEFAULT 'suggested'\\n1281: );\\n1282: CREATE INDEX IF NOT EXISTS idx_grocery_matches_item ON grocery_product_matches(product_item_id, status);\\n1283: \\n1284: CREATE TABLE IF NOT EXISTS grocery_product_details_cache (\\n1285: detail_id TEXT PRIMARY KEY,\\n1286: retailer TEXT NOT NULL,\\n1287: product_url TEXT NOT NULL,\\n1288: product_name TEXT,\\n1289: price_text TEXT,\\n1290: unit_price_text TEXT,\\n1291: package_size TEXT,\\n1292: ingredients_text TEXT,\\n1293: nutrition_json TEXT NOT NULL DEFAULT '{}',\\n1294: fetched_at TEXT NOT NULL,\\n1295: cache_status TEXT NOT NULL DEFAULT 'cached',\\n1296: source_hash TEXT\\n1297: );\\n1298: CREATE UNIQUE INDEX IF NOT EXISTS idx_grocery_detail_cache_url ON grocery_product_details_cache(retailer, product_url);\\n1299: \\n1300: CREATE TABLE IF NOT EXISTS grocery_optimization_runs (\\n1301: run_id TEXT PRIMARY KEY,\\n1302: receipt_id TEXT NOT NULL,\\n1303: run_date TEXT NOT NULL,\\n1304: selected_retailers_json TEXT NOT NULL,\\n1305: max_store_count INTEGER NOT NULL DEFAULT 3,\\n1306: original_total_text TEXT NOT NULL,\\n1307: optimized_total_text TEXT NOT NULL,\\n1308: estimated_savings_text TEXT NOT NULL,\\n1309: quality_status TEXT NOT NULL,\\n1310: summary_json TEXT NOT NULL,\\n1311: report_path TEXT,\\n1312: created_at TEXT NOT NULL\\n1313: );\\n1314: CREATE INDEX IF NOT EXISTS idx_grocery_runs_receipt ON grocery_optimization_runs(receipt_id, created_at);\\n1315: \\\"\\\"\\\"\\n1316: )\\n1317: \\n1318: \\n1319: def _add_grocery_price_provider_v1_columns(conn: Connection) -> None:\\n1320: existing = _table_columns(conn, \\\"grocery_product_details_cache\\\")\\n1321: columns = {\\n1322: \\\"brand\\\": \\\"TEXT\\\",\\n1323: \\\"image_url\\\": \\\"TEXT\\\",\\n1324: \\\"price_decimal_text\\\": \\\"TEXT\\\",\\n1325: \\\"currency\\\": \\\"TEXT NOT NULL DEFAULT 'CHF'\\\",\\n1326: \\\"unit\\\": \\\"TEXT\\\",\\n1327: \\\"unit_price_decimal_text\\\": \\\"TEXT\\\",\\n1328: \\\"availability_status\\\": \\\"TEXT\\\",\\n1329: \\\"promotion_text\\\": \\\"TEXT\\\",\\n\\n--- around 1298 ---\\n1273: candidate_unit_price_text TEXT,\\n1274: price_currency TEXT NOT NULL DEFAULT 'CHF',\\n1275: match_confidence TEXT NOT NULL DEFAULT '0',\\n1276: match_reason TEXT,\\n1277: quality_flags_json TEXT NOT NULL DEFAULT '[]',\\n1278: fetched_at TEXT NOT NULL,\\n1279: source TEXT NOT NULL DEFAULT 'manual',\\n1280: status TEXT NOT NULL DEFAULT 'suggested'\\n1281: );\\n1282: CREATE INDEX IF NOT EXISTS idx_grocery_matches_item ON grocery_product_matches(product_item_id, status);\\n1283: \\n1284: CREATE TABLE IF NOT EXISTS grocery_product_details_cache (\\n1285: detail_id TEXT PRIMARY KEY,\\n1286: retailer TEXT NOT NULL,\\n1287: product_url TEXT NOT NULL,\\n1288: product_name TEXT,\\n1289: price_text TEXT,\\n1290: unit_price_text TEXT,\\n1291: package_size TEXT,\\n1292: ingredients_text TEXT,\\n1293: nutrition_json TEXT NOT NULL DEFAULT '{}',\\n1294: fetched_at TEXT NOT NULL,\\n1295: cache_status TEXT NOT NULL DEFAULT 'cached',\\n1296: source_hash TEXT\\n1297: );\\n1298: CREATE UNIQUE INDEX IF NOT EXISTS idx_grocery_detail_cache_url ON grocery_product_details_cache(retailer, product_url);\\n1299: \\n1300: CREATE TABLE IF NOT EXISTS grocery_optimization_runs (\\n1301: run_id TEXT PRIMARY KEY,\\n1302: receipt_id TEXT NOT NULL,\\n1303: run_date TEXT NOT NULL,\\n1304: selected_retailers_json TEXT NOT NULL,\\n1305: max_store_count INTEGER NOT NULL DEFAULT 3,\\n1306: original_total_text TEXT NOT NULL,\\n1307: optimized_total_text TEXT NOT NULL,\\n1308: estimated_savings_text TEXT NOT NULL,\\n1309: quality_status TEXT NOT NULL,\\n1310: summary_json TEXT NOT NULL,\\n1311: report_path TEXT,\\n1312: created_at TEXT NOT NULL\\n1313: );\\n1314: CREATE INDEX IF NOT EXISTS idx_grocery_runs_receipt ON grocery_optimization_runs(receipt_id, created_at);\\n1315: \\\"\\\"\\\"\\n1316: )\\n1317: \\n1318: \\n1319: def _add_grocery_price_provider_v1_columns(conn: Connection) -> None:\\n1320: existing = _table_columns(conn, \\\"grocery_product_details_cache\\\")\\n1321: columns = {\\n1322: \\\"brand\\\": \\\"TEXT\\\",\\n1323: \\\"image_url\\\": \\\"TEXT\\\",\\n1324: \\\"price_decimal_text\\\": \\\"TEXT\\\",\\n1325: \\\"currency\\\": \\\"TEXT NOT NULL DEFAULT 'CHF'\\\",\\n1326: \\\"unit\\\": \\\"TEXT\\\",\\n1327: \\\"unit_price_decimal_text\\\": \\\"TEXT\\\",\\n1328: \\\"availability_status\\\": \\\"TEXT\\\",\\n1329: \\\"promotion_text\\\": \\\"TEXT\\\",\\n1330: \\\"source\\\": \\\"TEXT NOT NULL DEFAULT 'cache'\\\",\\n1331: \\\"confidence\\\": \\\"TEXT NOT NULL DEFAULT '0'\\\",\\n1332: \\\"quality_flags_json\\\": \\\"TEXT NOT NULL DEFAULT '[]'\\\",\\n1333: \\\"raw_result_json\\\": \\\"TEXT NOT NULL DEFAULT '{}'\\\",\\n1334: }\\n1335: for name, col_type in columns.items():\\n1336: if name not in existing:\\n1337: conn.execute(f\\\"ALTER TABLE grocery_product_details_cache ADD COLUMN {name} {col_type}\\\")\\n1338: \\n1339: \\n1340: def _apply_compat_migrations(conn: Connection) -> None:\\n1341: _add_missing_instrument_columns(conn)\\n1342: for table, text_columns in TEXT_AFFINITY_COLUMNS.items():\\n1343: _rebuild_table_with_text_columns(conn, table, text_columns)\\n\\n--- around 1320 ---\\n1295: cache_status TEXT NOT NULL DEFAULT 'cached',\\n1296: source_hash TEXT\\n1297: );\\n1298: CREATE UNIQUE INDEX IF NOT EXISTS idx_grocery_detail_cache_url ON grocery_product_details_cache(retailer, product_url);\\n1299: \\n1300: CREATE TABLE IF NOT EXISTS grocery_optimization_runs (\\n1301: run_id TEXT PRIMARY KEY,\\n1302: receipt_id TEXT NOT NULL,\\n1303: run_date TEXT NOT NULL,\\n1304: selected_retailers_json TEXT NOT NULL,\\n1305: max_store_count INTEGER NOT NULL DEFAULT 3,\\n1306: original_total_text TEXT NOT NULL,\\n1307: optimized_total_text TEXT NOT NULL,\\n1308: estimated_savings_text TEXT NOT NULL,\\n1309: quality_status TEXT NOT NULL,\\n1310: summary_json TEXT NOT NULL,\\n1311: report_path TEXT,\\n1312: created_at TEXT NOT NULL\\n1313: );\\n1314: CREATE INDEX IF NOT EXISTS idx_grocery_runs_receipt ON grocery_optimization_runs(receipt_id, created_at);\\n1315: \\\"\\\"\\\"\\n1316: )\\n1317: \\n1318: \\n1319: def _add_grocery_price_provider_v1_columns(conn: Connection) -> None:\\n1320: existing = _table_columns(conn, \\\"grocery_product_details_cache\\\")\\n1321: columns = {\\n1322: \\\"brand\\\": \\\"TEXT\\\",\\n1323: \\\"image_url\\\": \\\"TEXT\\\",\\n1324: \\\"price_decimal_text\\\": \\\"TEXT\\\",\\n1325: \\\"currency\\\": \\\"TEXT NOT NULL DEFAULT 'CHF'\\\",\\n1326: \\\"unit\\\": \\\"TEXT\\\",\\n1327: \\\"unit_price_decimal_text\\\": \\\"TEXT\\\",\\n1328: \\\"availability_status\\\": \\\"TEXT\\\",\\n1329: \\\"promotion_text\\\": \\\"TEXT\\\",\\n1330: \\\"source\\\": \\\"TEXT NOT NULL DEFAULT 'cache'\\\",\\n1331: \\\"confidence\\\": \\\"TEXT NOT NULL DEFAULT '0'\\\",\\n1332: \\\"quality_flags_json\\\": \\\"TEXT NOT NULL DEFAULT '[]'\\\",\\n1333: \\\"raw_result_json\\\": \\\"TEXT NOT NULL DEFAULT '{}'\\\",\\n1334: }\\n1335: for name, col_type in columns.items():\\n1336: if name not in existing:\\n1337: conn.execute(f\\\"ALTER TABLE grocery_product_details_cache ADD COLUMN {name} {col_type}\\\")\\n1338: \\n1339: \\n1340: def _apply_compat_migrations(conn: Connection) -> None:\\n1341: _add_missing_instrument_columns(conn)\\n1342: for table, text_columns in TEXT_AFFINITY_COLUMNS.items():\\n1343: _rebuild_table_with_text_columns(conn, table, text_columns)\\n1344: _create_broker_bank_mapping_tables(conn)\\n1345: _create_broker_import_review_items(conn)\\n1346: _create_broker_import_execution_plans(conn)\\n1347: _add_transaction_void_columns(conn)\\n1348: _create_fx_market_data_tables(conn)\\n1349: _create_instrument_import_candidates(conn)\\n1350: _create_budget_phase1_tables(conn)\\n1351: _create_budget_phase11_tables(conn)\\n1352: _create_budget_phase14_tables(conn)\\n1353: _create_budget_phase15_tables(conn)\\n1354: _create_budget_phase18_tables(conn)\\n1355: _create_budget_phase19_tables(conn)\\n1356: _create_budget_import_production_v1_tables(conn)\\n1357: _create_budget_categories_ux_fix_tables(conn)\\n1358: _create_budget_planning_forecast_v1_tables(conn)\\n1359: _create_budget_fixed_costs_subscriptions_v1_tables(conn)\\n1360: _create_budget_monthly_import_rule_learning_v1_tables(conn)\\n1361: _create_grocery_optimizer_v1_tables(conn)\\n1362: _add_grocery_price_provider_v1_columns(conn)\\n1363: \\n1364: \\n1365: def apply_migrations(conn: Connection) -> None:\\n\\n--- around 1337 ---\\n1312: created_at TEXT NOT NULL\\n1313: );\\n1314: CREATE INDEX IF NOT EXISTS idx_grocery_runs_receipt ON grocery_optimization_runs(receipt_id, created_at);\\n1315: \\\"\\\"\\\"\\n1316: )\\n1317: \\n1318: \\n1319: def _add_grocery_price_provider_v1_columns(conn: Connection) -> None:\\n1320: existing = _table_columns(conn, \\\"grocery_product_details_cache\\\")\\n1321: columns = {\\n1322: \\\"brand\\\": \\\"TEXT\\\",\\n1323: \\\"image_url\\\": \\\"TEXT\\\",\\n1324: \\\"price_decimal_text\\\": \\\"TEXT\\\",\\n1325: \\\"currency\\\": \\\"TEXT NOT NULL DEFAULT 'CHF'\\\",\\n1326: \\\"unit\\\": \\\"TEXT\\\",\\n1327: \\\"unit_price_decimal_text\\\": \\\"TEXT\\\",\\n1328: \\\"availability_status\\\": \\\"TEXT\\\",\\n1329: \\\"promotion_text\\\": \\\"TEXT\\\",\\n1330: \\\"source\\\": \\\"TEXT NOT NULL DEFAULT 'cache'\\\",\\n1331: \\\"confidence\\\": \\\"TEXT NOT NULL DEFAULT '0'\\\",\\n1332: \\\"quality_flags_json\\\": \\\"TEXT NOT NULL DEFAULT '[]'\\\",\\n1333: \\\"raw_result_json\\\": \\\"TEXT NOT NULL DEFAULT '{}'\\\",\\n1334: }\\n1335: for name, col_type in columns.items():\\n1336: if name not in existing:\\n1337: conn.execute(f\\\"ALTER TABLE grocery_product_details_cache ADD COLUMN {name} {col_type}\\\")\\n1338: \\n1339: \\n1340: def _apply_compat_migrations(conn: Connection) -> None:\\n1341: _add_missing_instrument_columns(conn)\\n1342: for table, text_columns in TEXT_AFFINITY_COLUMNS.items():\\n1343: _rebuild_table_with_text_columns(conn, table, text_columns)\\n1344: _create_broker_bank_mapping_tables(conn)\\n1345: _create_broker_import_review_items(conn)\\n1346: _create_broker_import_execution_plans(conn)\\n1347: _add_transaction_void_columns(conn)\\n1348: _create_fx_market_data_tables(conn)\\n1349: _create_instrument_import_candidates(conn)\\n1350: _create_budget_phase1_tables(conn)\\n1351: _create_budget_phase11_tables(conn)\\n1352: _create_budget_phase14_tables(conn)\\n1353: _create_budget_phase15_tables(conn)\\n1354: _create_budget_phase18_tables(conn)\\n1355: _create_budget_phase19_tables(conn)\\n1356: _create_budget_import_production_v1_tables(conn)\\n1357: _create_budget_categories_ux_fix_tables(conn)\\n1358: _create_budget_planning_forecast_v1_tables(conn)\\n1359: _create_budget_fixed_costs_subscriptions_v1_tables(conn)\\n1360: _create_budget_monthly_import_rule_learning_v1_tables(conn)\\n1361: _create_grocery_optimizer_v1_tables(conn)\\n1362: _add_grocery_price_provider_v1_columns(conn)\\n1363: \\n1364: \\n1365: def apply_migrations(conn: Connection) -> None:\\n1366: conn.executescript(INITIAL_SCHEMA_SQL)\\n1367: existing_initial = conn.execute(\\\"SELECT 1 FROM schema_migrations WHERE version = 1\\\").fetchone()\\n1368: if not existing_initial:\\n1369: conn.execute(\\n1370: \\\"INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)\\\",\\n1371: (1, \\\"001_initial_schema\\\", utc_now(), checksum_sql(INITIAL_SCHEMA_SQL)),\\n1372: )\\n1373: _apply_compat_migrations(conn)\\n1374: existing = conn.execute(\\\"SELECT 1 FROM schema_migrations WHERE version = ?\\\", (MIGRATION_VERSION,)).fetchone()\\n1375: if not existing:\\n1376: conn.execute(\\n1377: \\\"INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)\\\",\\n1378: (MIGRATION_VERSION, MIGRATION_NAME, utc_now(), checksum_sql(MIGRATION_NAME)),\\n1379: )\\n1380: conn.commit()\\n\\n--- around 1374 ---\\n1349: _create_instrument_import_candidates(conn)\\n1350: _create_budget_phase1_tables(conn)\\n1351: _create_budget_phase11_tables(conn)\\n1352: _create_budget_phase14_tables(conn)\\n1353: _create_budget_phase15_tables(conn)\\n1354: _create_budget_phase18_tables(conn)\\n1355: _create_budget_phase19_tables(conn)\\n1356: _create_budget_import_production_v1_tables(conn)\\n1357: _create_budget_categories_ux_fix_tables(conn)\\n1358: _create_budget_planning_forecast_v1_tables(conn)\\n1359: _create_budget_fixed_costs_subscriptions_v1_tables(conn)\\n1360: _create_budget_monthly_import_rule_learning_v1_tables(conn)\\n1361: _create_grocery_optimizer_v1_tables(conn)\\n1362: _add_grocery_price_provider_v1_columns(conn)\\n1363: \\n1364: \\n1365: def apply_migrations(conn: Connection) -> None:\\n1366: conn.executescript(INITIAL_SCHEMA_SQL)\\n1367: existing_initial = conn.execute(\\\"SELECT 1 FROM schema_migrations WHERE version = 1\\\").fetchone()\\n1368: if not existing_initial:\\n1369: conn.execute(\\n1370: \\\"INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)\\\",\\n1371: (1, \\\"001_initial_schema\\\", utc_now(), checksum_sql(INITIAL_SCHEMA_SQL)),\\n1372: )\\n1373: _apply_compat_migrations(conn)\\n1374: existing = conn.execute(\\\"SELECT 1 FROM schema_migrations WHERE version = ?\\\", (MIGRATION_VERSION,)).fetchone()\\n1375: if not existing:\\n1376: conn.execute(\\n1377: \\\"INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)\\\",\\n1378: (MIGRATION_VERSION, MIGRATION_NAME, utc_now(), checksum_sql(MIGRATION_NAME)),\\n1379: )\\n1380: conn.commit()\\n\\n--- around 1378 ---\\n1353: _create_budget_phase15_tables(conn)\\n1354: _create_budget_phase18_tables(conn)\\n1355: _create_budget_phase19_tables(conn)\\n1356: _create_budget_import_production_v1_tables(conn)\\n1357: _create_budget_categories_ux_fix_tables(conn)\\n1358: _create_budget_planning_forecast_v1_tables(conn)\\n1359: _create_budget_fixed_costs_subscriptions_v1_tables(conn)\\n1360: _create_budget_monthly_import_rule_learning_v1_tables(conn)\\n1361: _create_grocery_optimizer_v1_tables(conn)\\n1362: _add_grocery_price_provider_v1_columns(conn)\\n1363: \\n1364: \\n1365: def apply_migrations(conn: Connection) -> None:\\n1366: conn.executescript(INITIAL_SCHEMA_SQL)\\n1367: existing_initial = conn.execute(\\\"SELECT 1 FROM schema_migrations WHERE version = 1\\\").fetchone()\\n1368: if not existing_initial:\\n1369: conn.execute(\\n1370: \\\"INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)\\\",\\n1371: (1, \\\"001_initial_schema\\\", utc_now(), checksum_sql(INITIAL_SCHEMA_SQL)),\\n1372: )\\n1373: _apply_compat_migrations(conn)\\n1374: existing = conn.execute(\\\"SELECT 1 FROM schema_migrations WHERE version = ?\\\", (MIGRATION_VERSION,)).fetchone()\\n1375: if not existing:\\n1376: conn.execute(\\n1377: \\\"INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)\\\",\\n1378: (MIGRATION_VERSION, MIGRATION_NAME, utc_now(), checksum_sql(MIGRATION_NAME)),\\n1379: )\\n1380: conn.commit()\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_kOiHsn0o0VumCbQyLPUrosKz"
},
{
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}
],
"tool_calls": [
{
"id": "call_WqRgPHhRn8M89go0GtJBT6hL",
"call_id": "call_WqRgPHhRn8M89go0GtJBT6hL",
"response_item_id": "fc_04b46a229b62083a016a0c5509fbb08191a4abffe5ce3a411f",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"python3 - <<'PY'\\nfrom pathlib import Path\\nlines=Path('src/jarvis_finance/api/routers/budget.py').read_text().splitlines()\\nfor idx,line in enumerate(lines,1):\\n if 'grocery' in line.lower() or 'product_matches' in line:\\n if 140MilchCHF 2.00')\\nsearch=search_and_store_product_matches(conn,receipt['receipt_id'],providers=[provider],included_product_item_ids=[receipt['items'][0]['product_item_id']],use_cache=False)\\nrun=run_grocery_optimization(conn,receipt['receipt_id'],selected_retailers=['Coop'],included_product_item_ids=[receipt['items'][0]['product_item_id']])\\nprint(json.dumps({'match':search['matches'][0], 'run_summary':run['summary'], 'comparison':run['product_comparisons'][0]},indent=2))\\nPY\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
}
}
]
},
{
"role": "tool",
"name": "terminal",
"content": "{\"output\": \"{\\n \\\"match\\\": {\\n \\\"product_item_id\\\": \\\"gitem_78b4d556b2e6476a\\\",\\n \\\"retailer\\\": \\\"Coop\\\",\\n \\\"product_name\\\": \\\"Milch\\\",\\n \\\"product_url\\\": \\\"https://www.coop.ch/milch\\\",\\n \\\"price_text\\\": \\\"2.00\\\",\\n \\\"unit_price_text\\\": null,\\n \\\"source_fetched_at\\\": \\\"2026-05-19T12:19:06.989905+00:00\\\",\\n \\\"fetched_at\\\": \\\"2026-05-19T12:19:06.990085+00:00\\\",\\n \\\"quality_flags\\\": [\\n \\\"no_unit_price\\\",\\n \\\"exact_match\\\",\\n \\\"package_price_fallback\\\"\\n ],\\n \\\"confidence\\\": \\\"0.60\\\",\\n \\\"status\\\": \\\"needs_review\\\",\\n \\\"source\\\": \\\"web_fetch\\\"\\n },\\n \\\"run_summary\\\": {\\n \\\"replaceable_product_count\\\": 0,\\n \\\"uncertain_product_count\\\": 1,\\n \\\"estimated_savings_text\\\": \\\"0.00\\\",\\n \\\"optimized_lists\\\": [\\n {\\n \\\"variant\\\": \\\"max_3_stores\\\",\\n \\\"store_count\\\": 0,\\n \\\"stores\\\": [],\\n \\\"not_found_products\\\": [],\\n \\\"needs_review_products\\\": [\\n \\\"Milch 1L\\\"\\n ],\\n \\\"store_limit_omitted_products\\\": []\\n }\\n ],\\n \\\"product_comparisons\\\": [\\n {\\n \\\"product_item_id\\\": \\\"gitem_78b4d556b2e6476a\\\",\\n \\\"migros_product\\\": \\\"Milch 1L\\\",\\n \\\"migros_price_text\\\": \\\"1.50\\\",\\n \\\"best_alternative\\\": null,\\n \\\"retailer\\\": null,\\n \\\"alternative_price_text\\\": null,\\n \\\"unit_price_text\\\": null,\\n \\\"savings_text\\\": \\\"0.00\\\",\\n \\\"confidence\\\": \\\"0\\\",\\n \\\"status\\\": \\\"needs_review\\\",\\n \\\"quality_flags\\\": [\\n \\\"no_unit_price\\\",\\n \\\"exact_match\\\",\\n \\\"package_price_fallback\\\"\\n ],\\n \\\"source_url\\\": null\\n }\\n ]\\n },\\n \\\"comparison\\\": {\\n \\\"product_item_id\\\": \\\"gitem_78b4d556b2e6476a\\\",\\n \\\"migros_product\\\": \\\"Milch 1L\\\",\\n \\\"migros_price_text\\\": \\\"1.50\\\",\\n \\\"best_alternative\\\": null,\\n \\\"retailer\\\": null,\\n \\\"alternative_price_text\\\": null,\\n \\\"unit_price_text\\\": null,\\n \\\"savings_text\\\": \\\"0.00\\\",\\n \\\"confidence\\\": \\\"0\\\",\\n \\\"status\\\": \\\"needs_review\\\",\\n \\\"quality_flags\\\": [\\n \\\"no_unit_price\\\",\\n \\\"exact_match\\\",\\n \\\"package_price_fallback\\\"\\n ],\\n \\\"source_url\\\": null\\n }\\n}\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_7V5E9w2M70ttg8nFmz45ezST"
},
{
"role": "assistant",
"content": "",
"reasoning": "**Testing unit price status**\n\nI’m thinking that since no_unit_price is deemed unsafe, the status should be marked as \"needs review,\" and the safe optimizer excludes it. If there is a unit price of 2.00/l and it has an exact match without being unsafe, I need to compare it while considering unit price savings with a maximum of 0 and without no_unit. So, the status is suggested, making it time to test this out!",
"finish_reason": "tool_calls",
"reasoning_content": "**Testing unit price status**\n\nI’m thinking that since no_unit_price is deemed unsafe, the status should be marked as \"needs review,\" and the safe optimizer excludes it. If there is a unit price of 2.00/l and it has an exact match without being unsafe, I need to compare it while considering unit price savings with a maximum of 0 and without no_unit. So, the status is suggested, making it time to test this out!",
"codex_reasoning_items": [
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"id": "rs_01276ebab342cb61016a0c553e47e88191a487231022f6a840",
"summary": [
{
"type": "summary_text",
"text": "**Testing unit price status**\n\nI’m thinking that since no_unit_price is deemed unsafe, the status should be marked as \"needs review,\" and the safe optimizer excludes it. If there is a unit price of 2.00/l and it has an exact match without being unsafe, I need to compare it while considering unit price savings with a maximum of 0 and without no_unit. So, the status is suggested, making it time to test this out!"
}
]
}
],
"tool_calls": [
{
"id": "call_9BftZIJ09PosaBiB0qwKGS6Z",
"call_id": "call_9BftZIJ09PosaBiB0qwKGS6Z",
"response_item_id": "fc_01276ebab342cb61016a0c554154c481918e19a72499529226",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"python3 - <<'PY'\\nimport sqlite3,json\\nfrom jarvis_finance.storage.migrations import apply_migrations\\nfrom jarvis_finance.services.grocery_optimizer import add_demo_migros_receipt, run_grocery_optimization\\nfrom jarvis_finance.services.grocery_price_providers import CoopProvider, search_and_store_product_matches\\nconn=sqlite3.connect(':memory:'); conn.row_factory=sqlite3.Row; apply_migrations(conn)\\nreceipt=add_demo_migros_receipt(conn,purchase_date='2026-05-19',store_name='Migros Test',items=[{'raw_product_name':'Milch 1L','unit_price_text':'1.50/l','total_price_text':'1.50'}])\\nprovider=CoopProvider(fetcher=lambda url:'MilchCHF 2.002.00/l')\\nsearch=search_and_store_product_matches(conn,receipt['receipt_id'],providers=[provider],included_product_item_ids=[receipt['items'][0]['product_item_id']],use_cache=False)\\nrun=run_grocery_optimization(conn,receipt['receipt_id'],selected_retailers=['Coop'],included_product_item_ids=[receipt['items'][0]['product_item_id']])\\nprint(json.dumps({'match':search['matches'][0], 'stored':dict(conn.execute('select candidate_price_text,status,quality_flags_json from grocery_product_matches').fetchone()), 'run_summary':run['summary'], 'comparison':run['product_comparisons'][0]},indent=2))\\nPY\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
}
}
]
},
{
"role": "tool",
"name": "terminal",
"content": "{\"output\": \"{\\n \\\"match\\\": {\\n \\\"product_item_id\\\": \\\"gitem_b5093ed304fb4cba\\\",\\n \\\"retailer\\\": \\\"Coop\\\",\\n \\\"product_name\\\": \\\"Milch\\\",\\n \\\"product_url\\\": \\\"https://www.coop.ch/milch\\\",\\n \\\"price_text\\\": \\\"2.00\\\",\\n \\\"unit_price_text\\\": \\\"2.00/l\\\",\\n \\\"source_fetched_at\\\": \\\"2026-05-19T12:19:19.031163+00:00\\\",\\n \\\"fetched_at\\\": \\\"2026-05-19T12:19:19.031301+00:00\\\",\\n \\\"quality_flags\\\": [\\n \\\"exact_match\\\"\\n ],\\n \\\"confidence\\\": \\\"0.60\\\",\\n \\\"status\\\": \\\"suggested\\\",\\n \\\"source\\\": \\\"web_fetch\\\"\\n },\\n \\\"stored\\\": {\\n \\\"candidate_price_text\\\": \\\"2.00\\\",\\n \\\"status\\\": \\\"suggested\\\",\\n \\\"quality_flags_json\\\": \\\"[\\\\\\\"exact_match\\\\\\\"]\\\"\\n },\\n \\\"run_summary\\\": {\\n \\\"replaceable_product_count\\\": 1,\\n \\\"uncertain_product_count\\\": 0,\\n \\\"estimated_savings_text\\\": \\\"0.00\\\",\\n \\\"optimized_lists\\\": [\\n {\\n \\\"variant\\\": \\\"max_3_stores\\\",\\n \\\"store_count\\\": 1,\\n \\\"stores\\\": [\\n {\\n \\\"retailer\\\": \\\"Coop\\\",\\n \\\"items\\\": [\\n {\\n \\\"product\\\": \\\"Milch 1L\\\",\\n \\\"candidate_product_name\\\": \\\"Milch\\\",\\n \\\"price_text\\\": \\\"2.00\\\",\\n \\\"source_url\\\": \\\"https://www.coop.ch/milch\\\"\\n }\\n ]\\n }\\n ],\\n \\\"not_found_products\\\": [],\\n \\\"needs_review_products\\\": [],\\n \\\"store_limit_omitted_products\\\": []\\n }\\n ],\\n \\\"product_comparisons\\\": [\\n {\\n \\\"product_item_id\\\": \\\"gitem_b5093ed304fb4cba\\\",\\n \\\"migros_product\\\": \\\"Milch 1L\\\",\\n \\\"migros_price_text\\\": \\\"1.50\\\",\\n \\\"best_alternative\\\": \\\"Milch\\\",\\n \\\"retailer\\\": \\\"Coop\\\",\\n \\\"alternative_price_text\\\": \\\"2.00\\\",\\n \\\"unit_price_text\\\": \\\"2.00/l\\\",\\n \\\"savings_text\\\": \\\"0.00\\\",\\n \\\"confidence\\\": \\\"0.60\\\",\\n \\\"status\\\": \\\"suggested\\\",\\n \\\"quality_flags\\\": [\\n \\\"exact_match\\\"\\n ],\\n \\\"source_url\\\": \\\"https://www.coop.ch/milch\\\"\\n }\\n ]\\n },\\n \\\"comparison\\\": {\\n \\\"product_item_id\\\": \\\"gitem_b5093ed304fb4cba\\\",\\n \\\"migros_product\\\": \\\"Milch 1L\\\",\\n \\\"migros_price_text\\\": \\\"1.50\\\",\\n \\\"best_alternative\\\": \\\"Milch\\\",\\n \\\"retailer\\\": \\\"Coop\\\",\\n \\\"alternative_price_text\\\": \\\"2.00\\\",\\n \\\"unit_price_text\\\": \\\"2.00/l\\\",\\n \\\"savings_text\\\": \\\"0.00\\\",\\n \\\"confidence\\\": \\\"0.60\\\",\\n \\\"status\\\": \\\"suggested\\\",\\n \\\"quality_flags\\\": [\\n \\\"exact_match\\\"\\n ],\\n \\\"source_url\\\": \\\"https://www.coop.ch/milch\\\"\\n }\\n}\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_9BftZIJ09PosaBiB0qwKGS6Z"
},
{
"role": "assistant",
"content": "{\n \"passed\": false,\n \"security_concerns\": [],\n \"logic_errors\": [\n {\n \"severity\": \"medium\",\n \"file\": \"src/jarvis_finance/services/grocery_price_providers.py\",\n \"lines\": \"276-288, 314-319\",\n \"issue\": \"Provider matches can be persisted as status='suggested' even when the candidate price/unit price is higher than the original item price. compare_product_prices clamps negative savings to 0.00 but still returns can_calculate_savings=True, so search_and_store_product_matches treats the higher-priced exact match as safe. run_grocery_optimization can then include a more expensive product in the optimized list with savings_text='0.00'.\",\n \"evidence\": \"Reproduced locally with original Milch 1L at CHF 1.50 / 1.50/l and Coop result CHF 2.00 / 2.00/l: stored grocery_product_matches row had status='suggested' and quality_flags_json='[\\\"exact_match\\\"]'; optimizer output listed the CHF 2.00 alternative as suggested.\",\n \"recommendation\": \"Only mark/store provider alternatives as suggested when computed savings is strictly positive, or add a quality flag/status such as no_savings/not_cheaper and exclude these from safe optimizer candidates.\"\n }\n ],\n \"suggestions\": [\n \"Add a regression test for higher-priced provider results with valid unit prices to ensure they are not suggested as savings alternatives.\",\n \"Consider exposing max_age_seconds through the search-prices API if users need a manual refresh/staleness override; current service-level TTL behavior is fixed at the default 86400 seconds from the API path.\"\n ],\n \"summary\": \"Focused re-review completed in /home/agent/.hermes/repos/FinanceManager. Verified the previous blockers are fixed: provider cache rows are preserved when matches are upserted from web_fetch/cache sources, missing provider prices are returned as needs_review/no_price without persisting a zero-price match, API/service results distinguish provider source_fetched_at from match fetched_at, and stale cached provider rows are skipped/refetched via max_age_seconds. Ran pytest tests/unit/test_grocery_price_providers_v1.py -q: 9 passed. No files were created or modified. One medium logic error remains/newly identified: more expensive provider alternatives with valid unit prices can still be stored and optimized as safe suggested replacements because savings are clamped to 0.00 while can_calculate_savings stays true.\"\n}",
"reasoning": "**Evaluating logic errors**\n\nI'm spotting a logic error here. I'm not sure if it was preexisting, but it’s important to ensure that any new reviews catch issues. Do we mark \"passed\" as false? The verification for fixed blockers might mean \"passed\" is likely false due to this logic error. If there are new logic errors, \"passed\" should be false. I need to ensure valid JSON and mention no files modified while including focused tests and an accurate summary.",
"finish_reason": "stop",
"reasoning_content": "**Evaluating logic errors**\n\nI'm spotting a logic error here. I'm not sure if it was preexisting, but it’s important to ensure that any new reviews catch issues. Do we mark \"passed\" as false? The verification for fixed blockers might mean \"passed\" is likely false due to this logic error. If there are new logic errors, \"passed\" should be false. I need to ensure valid JSON and mention no files modified while including focused tests and an accurate summary.",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqDFVNZBez9jxDartIO9ysTRofplz9hwMZ7s-NJH1UHUs2CVKup4TbMNAF71QVuQOyhZ1NnHamPgp-2UCR_zHXlQrqkf_JZJLSXsexW6WK9D4PfdEnZtOGSd32NyzuLWPXYKlsxah-9eulSTd5rIWJB-sdlDEce5bqmGqMcUZiXa0xHi6DeKZxcXsHt6C0YqmL5Qn7hRYKYgPnbFpFpYbHs1vqM71eqfJWQC8AKw9fO8e_e6EF6eK1eSVghak0XZYOdgQsE7qrYfokR4qJ0O57f0UJziJXeCkayVF4xqyrpjcdUx0IkeBlSQm-C07DQcW3EkUvo0_VYcnI0zIBLgBlQeEbxX_bzeezRjaTORkqM-3J3AKGKdbxKvACS18asWKvrgTMEIZFlFqvzN3XALZ3eopWTEWq1LoDSpvkyxL5fZ870aGPnDekkT6XwLEUX8pjaZ2VqUHAOVjqJxP6p6SHfWm2mDcWgey1NosN2RVoTzg5T2GsbdxXof6MaNBEoY7fea22fDDIbhp0NuUBXSAvlmr54glaZTqVdx7ihA4j2dbAczM9PPTAnezWZ4Pk4-fGlHg3T4_ooFYnSCABuK_LjprF1jK3A-TzcRLQG-36AYeUu474GuYqPk8nPCftS7LgUrPCDxymn5kwZqQcgCcZvBIDx2uX1f-yxu5FVf2jE0UV38z1bTq-fJWJXvSDroDmG_LcWZY4PO75nO48_Yat-v0hj2-A_D_8_KQyKGa4b1Llh3CDk0mUHXW_DSO0k30_N8Bg1gBTPwTQmzgJKcENOdqhlKmfXD9yIWOMtJ784VGSHF-Mgu6hkA_varx63CNm0rnrabo7paPg8Um2m0eFTDST6vPFmY50WvWFPsRFbUhew-P_XeBZNMLTPoNU4-dlZXLhv_xUuYtc6nUBhKVKPrBuHxW2hN4IzXTwLJcA5rEIRKoEN45nfVoNeSi9BVFTuz87skSuCybYkPC-l9JOo_BSUSoc7-eHalZKF1Kz8ZUBUfG7nzkHFnS8k38iEZCkG0N8eYHrtNfcAql7Fjjmi0Nx7kSRYCGlR6vw7xuMif8D7RgTEuiXh1_zLWrAGI7KqB8cvMqt7RqTvUZTwN9vV8yFfzv0XO8zFuT4QMfu5l8W6PuvTD4AM9BQzWoi6pDoLK-vvkTWLlbjpQJBdpmT5Tby5FFxiLZ3-3wYq3XZdYUrpLrS6SZT-ngpV0fJCb9NWInBbLdPjYYxCAyjywW7cPoKiBJ5Qp43qeydxsQV19x-cpBH4yA14NSehEzHHVAgt7TS1SrlYck0pRHtQiZ3H2K7EtEfWapT0FfZFxvZtd1ilx6Kr-u-cS8QmIELGAzToa4uKIZep74BEYxfvQa-jtsjt5or322Xhrp4SWYCxlJokBRH5IOh19dzekXd5xqdUElA1boWC0GqR5Fw1FDzxGoDYDLzO0nDWDVkvj7AzIDIHr0AANTwXuDCQA9icULFhQm0-GYbU5ngXxb6MIKaKTA6DTDg6DszgYTjXznK3NIdMv1Za37a762RIWhxNIRypCGhVkG2USCDmsvI5jXHdyxDqLmIm3GnbfHmOhs4fBLeM-MxCA-4w4zoalX1C_RnOuDj7KictKatoiySAP_gYimBBuAEVKbhuobP9OvWKEb8HnJXmJSaLHi6D6vEFplw4bZQw_y7cmgX_Ot0nG7aYmN-zjN_VPPJJA28jpv_PU8nGOibrDxE6Guxd0shpSGVVi7h-ivMIWPO9nrxn_gqcfaC1uQFZZrowueU0R_yzXtzAJqAdoNPZNUmaj2_ajKEAGOPzRjcUv3FaiXogPwT3IN8LXfFRyuihaJE-YfQWogWHZn4nVU_MDEYKBo-4ghtXkba4damLcV5jpgm5lV_1wcLrw==",
"id": "rs_0bc633a2c71222fa016a0c5548f7f48191a64c60fd34ddada3",
"summary": [
{
"type": "summary_text",
"text": "**Evaluating logic errors**\n\nI'm spotting a logic error here. I'm not sure if it was preexisting, but it’s important to ensure that any new reviews catch issues. Do we mark \"passed\" as false? The verification for fixed blockers might mean \"passed\" is likely false due to this logic error. If there are new logic errors, \"passed\" should be false. I need to ensure valid JSON and mention no files modified while including focused tests and an accurate summary."
}
]
}
],
"codex_message_items": [
{
"type": "message",
"role": "assistant",
"status": "completed",
"content": [
{
"type": "output_text",
"text": "{\n \"passed\": false,\n \"security_concerns\": [],\n \"logic_errors\": [\n {\n \"severity\": \"medium\",\n \"file\": \"src/jarvis_finance/services/grocery_price_providers.py\",\n \"lines\": \"276-288, 314-319\",\n \"issue\": \"Provider matches can be persisted as status='suggested' even when the candidate price/unit price is higher than the original item price. compare_product_prices clamps negative savings to 0.00 but still returns can_calculate_savings=True, so search_and_store_product_matches treats the higher-priced exact match as safe. run_grocery_optimization can then include a more expensive product in the optimized list with savings_text='0.00'.\",\n \"evidence\": \"Reproduced locally with original Milch 1L at CHF 1.50 / 1.50/l and Coop result CHF 2.00 / 2.00/l: stored grocery_product_matches row had status='suggested' and quality_flags_json='[\\\"exact_match\\\"]'; optimizer output listed the CHF 2.00 alternative as suggested.\",\n \"recommendation\": \"Only mark/store provider alternatives as suggested when computed savings is strictly positive, or add a quality flag/status such as no_savings/not_cheaper and exclude these from safe optimizer candidates.\"\n }\n ],\n \"suggestions\": [\n \"Add a regression test for higher-priced provider results with valid unit prices to ensure they are not suggested as savings alternatives.\",\n \"Consider exposing max_age_seconds through the search-prices API if users need a manual refresh/staleness override; current service-level TTL behavior is fixed at the default 86400 seconds from the API path.\"\n ],\n \"summary\": \"Focused re-review completed in /home/agent/.hermes/repos/FinanceManager. Verified the previous blockers are fixed: provider cache rows are preserved when matches are upserted from web_fetch/cache sources, missing provider prices are returned as needs_review/no_price without persisting a zero-price match, API/service results distinguish provider source_fetched_at from match fetched_at, and stale cached provider rows are skipped/refetched via max_age_seconds. Ran pytest tests/unit/test_grocery_price_providers_v1.py -q: 9 passed. No files were created or modified. One medium logic error remains/newly identified: more expensive provider alternatives with valid unit prices can still be stored and optimized as safe suggested replacements because savings are clamped to 0.00 while can_calculate_savings stays true.\"\n}"
}
],
"id": "msg_0bc633a2c71222fa016a0c554d5aa88191b10e7579f3f7f2ec",
"phase": "final_answer"
}
]
}
]
}