Output:
To https://github.com/Gamexgit/FinanceManager.git
   c6a9d1e..27aa030  main -> main
To https://github.com/Gamexgit/FinanceManager.git
 * [new tag]         v0.3.2 -> v0.3.2
local_head=27aa030c9bf09ca083364ea5e65dd61d8e73bc26
remote_head=27aa030c9bf09ca083364ea5e65dd61d8e73bc26
head_match=yes
local_tag_commit=27aa030c9bf09ca083364ea5e65dd61d8e73bc26
remote_tag_commit=27aa030c9bf09ca083364ea5e65dd61d8e73bc26
tag_match=yes


`main` und `v0.3.2` sind remote verifiziert. Ich starte jetzt Dashboard aus `main` neu und prüfe Health/Tailscale.

terminal

set -euo pipefail
cd /home/agent/.hermes/repos/FinanceManager
printf 'branch='; git branch --show-current; printf '\nhead='; git rev-parse HEAD; printf '\ntag_contains='; git tag --points-at HEAD | tr '\n' ' '; printf '\n'
for port in 8000 5173; do
  pids=$(ss -ltnp 2>/dev/null | awk -v p=":$port" '$4 ~ p {print $0}' | sed -n 's/.*pid=\([0-9]*\).*/\1/p' | sort -u || true)
  if [ -n "$pids" ]; then kill $pids || true; fi
done


Output:
branch=main

head=27aa030c9bf09ca083364ea5e65dd61d8e73bc26

tag_contains=v0.3.2


source ~/jarvis_runtime/finance-system/venv/bin/activate
export JARVIS_FINANCE_RUNTIME_DIR=~/jarvis_runtime/finance-system
unset JARVIS_FINANCE_DB_PATH
PYTHONPATH=src uvicorn jarvis_finance.api.main:app --host 0.0.0.0 --port 8000


Output: Background process started


export VITE_API_BASE_URL=http://100.85.29.67:8000
npm run dev -- --host 0.0.0.0 --port 5173


Output: Background process started


set -euo pipefail
for i in $(seq 1 60); do
  if curl -fsS http://127.0.0.1:8000/api/health >/dev/null && curl -fsS http://127.0.0.1:5173/ >/dev/null; then break; fi
  sleep 1
  if [ "$i" = 60 ]; then echo timeout; exit 1; fi
done
printf 'backend_health='; curl -fsS -o /dev/null -w '%{http_code}' http://127.0.0.1:8000/api/health; printf '\n'
printf 'frontend_local='; curl -fsS -o /dev/null -w '%{http_code}' http://127.0.0.1:5173/; printf '\n'
printf 'frontend_tailscale='; curl -fsS -o /dev/null -w '%{http_code}' http://100.85.29.67:5173/; printf '\n'
printf 'grocery_api='; curl -fsS -o /dev/null -w '%{http_code}' http://127.0.0.1:8000/api/budget/grocery-optimizer/dashboard; printf '\n'


Output:
backend_health=200
frontend_local=200
frontend_tailscale=200
grocery_api=200


Release-Teil ist erledigt. Ich aktualisiere die Tasks und führe jetzt den kleinen Real-Bon-UAT mit 5–10 Produkten durch — aggregiert, keine Preise/Produktdetails im Chat.

todo

V2 nach main mergen, v0.3.2 taggen, main/tag pushen, Dashboard aus main neu starten

Kleinen Real-Bon-UAT mit 5–10 Produkten durchführen; keine Preise/Produktdetails im Chat/Git

Mapping-Qualität aggregiert bewerten und Mapping-Library Reuse/Reject/Manual/Refresh prüfen


Release-Preflight: Branch/Remote/Main/Working Tree/Merge-Konflikt-Risiko/Tests/Git-Safety prüfen

Provider-Härtung kontrolliert bewerten/dokumentieren ohne Massenscrape

UI/Report v3 Ergänzungen: Produktfilter, sichere/unsichere Trennung, Mapping-Liste/Preisrefresh/Report-Hinweise

Finale Tests/Build/Scans/Git-Safety/Browser-Sanity/Commit/Push/Abschlussbericht


Ich wähle den neuesten echten Migros-Bon aus der Runtime-DB mit 5–10 Artikeln aus und arbeite intern mit IDs/Counts. Produktnamen/Preise gebe ich weder hier noch ins Git aus.

from hermes_tools import terminal
script = r'''
from pathlib import Path
import sqlite3, json
repo=Path('/home/agent/.hermes/repos/FinanceManager')
db=Path.home()/'jarvis_runtime/finance-system/data/finance.sqlite3'
conn=sqlite3.connect(db); conn.row_factory=sqlite3.Row
rows=conn.execute("""
SELECT receipt_id, purchase_date, store_name, COUNT(*) AS c
FROM grocery_product_items
WHERE lower(store_name) LIKE '%migros%' AND source_type='migros_receipt'
GROUP BY receipt_id,purchase_date,store_name
HAVING c >= 5
ORDER BY purchase_date DESC, receipt_id DESC
LIMIT 5
""").fetchall()
if not rows:
    rows=conn.execute("""
SELECT receipt_id, purchase_date, store_name, COUNT(*) AS c
FROM grocery_product_items
WHERE lower(store_name) LIKE '%migros%'
GROUP BY receipt_id,purchase_date,store_name
HAVING c >= 5
ORDER BY purchase_date DESC, receipt_id DESC
LIMIT 5
""").fetchall()
print(json.dumps({'candidate_receipts': len(rows), 'selected_count': int(rows[0]['c']) if rows else 0, 'selected_date': rows[0]['purchase_date'] if rows else None}, ensure_ascii=False))
'''
print(terminal('python - <<\'PY\'\n'+script+'\nPY', workdir='/home/agent/.hermes/repos/FinanceManager', timeout=60)['output'])


Output: {"candidate_receipts": 0, "selected_count": 0, "selected_date": null}


In `grocery_product_items` liegt noch kein echter Migros-Bon mit ≥5 Artikeln. Ich suche jetzt read-only in den bestehenden Budget-/Import-/Detailtabellen nach produktdetailfähigen Migros-Zeilen, ohne Produktdaten auszugeben.

Explanation:
**Investigating grocery products**

It seems like there might not be any actual grocery product items. I need to check if there’s a way to import them from the existing detail rows. First, I'll search through the tables to inspect their names and counts to see what’s going on. Let's make sure everything is safe while I do this. It sounds like a bit of a puzzle, but I’m ready to find the solution!

from hermes_tools import terminal
script = r'''
import sqlite3, json
from pathlib import Path
db=Path.home()/'jarvis_runtime/finance-system/data/finance.sqlite3'
conn=sqlite3.connect(db); conn.row_factory=sqlite3.Row
tables=[r['name'] for r in conn.execute("SELECT name FROM sqlite_master WHERE type='table' ORDER BY name")]
counts={}
for t in tables:
    if any(k in t.lower() for k in ['migros','receipt','line','article','import','transaction','candidate']):
        try: counts[t]=conn.execute(f'SELECT COUNT(*) c FROM {t}').fetchone()['c']
        except Exception: pass
cols={}
for t in counts:
    cols[t]=[r['name'] for r in conn.execute(f'PRAGMA table_info({t})')]
print(json.dumps({'tables': counts, 'columns': {k: v[:20] for k,v in cols.items()}}, ensure_ascii=False)[:5000])
'''
print(terminal('python - <<\'PY\'\n'+script+'\nPY', workdir='/home/agent/.hermes/repos/FinanceManager', timeout=60)['output'])


Output: {"tables": {"broker_import_dry_runs": 3, "broker_import_execution_plans": 3, "broker_import_review_items": 59, "budget_candidate_splits": 1, "budget_category_baselines": 0, "budget_excel_seed_candidates": 0, "budget_import_line_items": 9776, "budget_import_rules": 0, "budget_import_sessions": 0, "budget_seed_candidates": 97, "budget_transaction_candidates": 13274, "budget_transaction_tags": 2, "budget_transactions": 201, "crypto_transactions": 0, "import_sessions": 4, "instrument_import_candidates": 30, "instrument_price_mapping_candidates": 57, "transactions": 6}, "columns": {"broker_import_dry_runs": ["dry_run_id", "source_name", "source_platform", "source_file_label", "source_file_type", "source_hash", "source_filename_hash", "detected_snapshot_date", "snapshot_date_status", "detected_sections_json", "field_coverage_json", "rows_total", "rows_position_candidates", "rows_cash_candidates", "candidate_positions", "candidate_cash_rows", "mapped_positions", "blocked_positions", "warnings_count", "errors_count"], "broker_import_execution_plans": ["execution_plan_id", "dry_run_id", "review_item_id", "source_platform", "target_account_id", "target_instrument_id", "transaction_type", "snapshot_date", "payload_status", "payload_quality_flags_json", "source_row_hash", "planned_write_summary_json", "execution_status", "transaction_id", "created_at", "updated_at", "executed_at", "notes"], "broker_import_review_items": ["review_item_id", "dry_run_id", "source_platform", "source_file_type", "source_row_ref", "row_hash", "source_label", "normalized_name", "detected_asset_class", "detected_currency", "detected_quantity_present", "detected_market_value_present", "isin", "ticker", "exchange", "mapped_instrument_id", "mapped_account_id", "quality_flags_json", "review_status", "reviewer_note"], "budget_candidate_splits": ["split_id", "transaction_candidate_id", "category_id", "amount_original", "notes", "created_at", "updated_at", "tag_name", "confirmed_transaction_id"], "budget_category_baselines": ["baseline_id", "category_id", "year", "month", "amount_text", "currency", "baseline_type", "source", "notes", "created_at", "updated_at"], "budget_excel_seed_candidates": ["candidate_id", "dry_run_id", "candidate_type", "sheet_name", "category_name", "parent_category_name", "position_name", "cadence", "has_monthly_values", "has_annual_value", "quality_flags_json", "created_at"], "budget_import_line_items": ["line_item_id", "transaction_candidate_id", "source_file_label", "receipt_key", "source_row_or_range", "item_name", "quantity", "is_promotion", "amount_original", "currency_original", "raw_fingerprint", "created_at"], "budget_import_rules": ["rule_id", "rule_type", "pattern", "source_type", "target_action", "target_category_id", "threshold_amount", "confidence", "is_active", "notes", "created_at", "updated_at"], "budget_import_sessions": ["import_session_id", "source", "file_id", "file_name", "file_modified_time", "file_period_start", "file_period_end", "profile", "rows_total", "new_candidates", "already_known", "duplicate_count", "ignored_count", "covered_by_source_count", "error_count", "status", "review_url", "created_at", "updated_at"], "budget_seed_candidates": ["seed_candidate_id", "source_file_label", "source_sheet", "source_row_or_range", "candidate_type", "source_label", "proposed_category_id", "proposed_parent_label", "proposed_name", "proposed_period_type", "proposed_amount_text", "currency", "confidence", "requires_review", "status", "notes", "created_at", "updated_at"], "budget_transaction_candidates": ["transaction_candidate_id", "source_file_label", "source_row_or_range", "source_type", "transaction_date", "description", "merchant", "amount_original", "currency_original", "proposed_category_id", "proposed_category_name", "duplicate_of_transaction_id", "confidence", "requires_review", "status", "notes", "created_at", "updated_at", "classification", "review_reason"], "budget_transaction_tags": ["budget_transaction_id", "tag_id"], "budget_transactions": ["budget_transaction_id", "account_id", "transaction_type", "transaction_date", "booking_date", "description", "payee", "merchant_id", "amount_original", "currency_original", "fx_rate_to_chf", "amount_chf", "fx_status", "category_id", "status", "source_type", "notes", "created_at", "updated_at", "reversal_of_transaction_id"], "crypto_transactions": ["crypto_transaction_id", "transaction_id", "transaction_type", "asset_id", "quantity", "price_original", "currency_original", "gross_amount_original", "fee_quantity", "fee_original", "fee_currency", "fx_rate_to_chf", "fx_source", "amount_chf", "from_wallet_id", "to_wallet_id", "transaction_datetime", "tx_hash", "source", "confirmation_status"], "import_sessions": ["import_session_id", "import_type", "source_filename", "source_hash", "started_at", "finished_at", "status", "rows_total", "rows_imported", "rows_failed", "errors_json", "notes"], "instrument_import_candidates": ["candidate_id", "source_file", "platform", "acc


Der echte Bon steckt in den importierten Line-Items, nicht in der neuen Grocery-Tabelle. Ich migriere für den UAT kontrolliert **einen** Migros-Bon aus Runtime-Line-Items in `grocery_product_items` — nur Runtime, mit Backup bereits vorhanden, keine Dateien ins Git.

Explanation:
**Considering grocery product items**

I need to create grocery product items from real line items and check the budget import line items. I should choose a receipt key, perhaps with Migros as a candidate merchant. The query aggregates without names, so I might seed or add real info if writing runtime is allowed with backup. I also wonder if I need to run a migration since the schema is already 34. I need to select and derive the purchase date and store, joining with budget transaction candidates where the merchant/source label exists.

from hermes_tools import terminal
script = r'''
from pathlib import Path
import sqlite3, json
db=Path.home()/'jarvis_runtime/finance-system/data/finance.sqlite3'
conn=sqlite3.connect(db); conn.row_factory=sqlite3.Row
rows=conn.execute("""
SELECT li.receipt_key, COALESCE(c.transaction_date,'') AS date, COALESCE(c.merchant,'') AS merchant, COALESCE(c.description,'') AS descr, COUNT(*) AS item_count
FROM budget_import_line_items li
LEFT JOIN budget_transaction_candidates c ON c.transaction_candidate_id=li.transaction_candidate_id
WHERE lower(COALESCE(c.merchant,'') || ' ' || COALESCE(c.description,'') || ' ' || COALESCE(li.source_file_label,'')) LIKE '%migros%'
GROUP BY li.receipt_key, c.transaction_date, c.merchant, c.description
HAVING item_count >= 5
ORDER BY c.transaction_date DESC, item_count DESC
LIMIT 10
""").fetchall()
print(json.dumps({'candidate_receipts': len(rows), 'selected_item_count': int(rows[0]['item_count']) if rows else 0, 'selected_date': rows[0]['date'] if rows else None}, ensure_ascii=False))
'''
print(terminal('python - <<\'PY\'\n'+script+'\nPY', workdir='/home/agent/.hermes/repos/FinanceManager', timeout=60)['output'])


Output: {"candidate_receipts": 10, "selected_item_count": 76, "selected_date": "2026-05-12"}


Explanation:
**Considering manual mappings**

If there are no live results due to a provider failure, I think about manually creating mappings. The user wants real product mappings, and manual acceptance is okay. I can handle “2-3 matches manuell akzeptieren oder ablehnen.” If there's no live provider result, I can create manual mappings but should avoid inventing prices. I should create a receipt first and use the API search with a maximum of eight products from Coop.

from hermes_tools import terminal
script = r'''
from pathlib import Path
import sqlite3, json, hashlib, sys
sys.path.insert(0, str(Path('/home/agent/.hermes/repos/FinanceManager/src')))
from jarvis_finance.services.grocery_optimizer import add_demo_migros_receipt

db=Path.home()/'jarvis_runtime/finance-system/data/finance.sqlite3'
conn=sqlite3.connect(db); conn.row_factory=sqlite3.Row
row=conn.execute("""
SELECT li.receipt_key, COALESCE(c.transaction_date,'') AS date, COALESCE(c.merchant,'Migros') AS merchant
FROM budget_import_line_items li
LEFT JOIN budget_transaction_candidates c ON c.transaction_candidate_id=li.transaction_candidate_id
WHERE lower(COALESCE(c.merchant,'') || ' ' || COALESCE(c.description,'') || ' ' || COALESCE(li.source_file_label,'')) LIKE '%migros%'
GROUP BY li.receipt_key, c.transaction_date, c.merchant
HAVING COUNT(*) >= 5
ORDER BY c.transaction_date DESC, COUNT(*) DESC
LIMIT 1
""").fetchone()
if not row: raise SystemExit('no_real_migros_receipt_found')
receipt_key=row['receipt_key']
receipt_id='uat_real_migros_'+hashlib.sha1(receipt_key.encode()).hexdigest()[:12]
exists=conn.execute('SELECT COUNT(*) c FROM grocery_product_items WHERE receipt_id=?',(receipt_id,)).fetchone()['c']
if not exists:
    items=[]
    for li in conn.execute("""
        SELECT item_name, quantity, amount_original, currency_original
        FROM budget_import_line_items
        WHERE receipt_key=? AND COALESCE(item_name,'')<>'' AND COALESCE(amount_original,'')<>''
        ORDER BY line_item_id
        LIMIT 8
    """, (receipt_key,)).fetchall():
        items.append({'raw_product_name': li['item_name'], 'quantity_text': str(li['quantity'] or ''), 'unit': None, 'unit_price_text': None, 'total_price_text': str(li['amount_original'])})
    add_demo_migros_receipt(conn, receipt_id=receipt_id, purchase_date=row['date'] or '2026-05-01', store_name='Migros Real-Bon UAT', items=items)
count=conn.execute('SELECT COUNT(*) c FROM grocery_product_items WHERE receipt_id=?',(receipt_id,)).fetchone()['c']
print(json.dumps({'uat_receipt_id': receipt_id, 'created': not bool(exists), 'selected_products': int(count), 'source_date': row['date']}, ensure_ascii=False))
'''
print(terminal('python - <<\'PY\'\n'+script+'\nPY', workdir='/home/agent/.hermes/repos/FinanceManager', timeout=60)['output'])


Output: {"uat_receipt_id": "uat_real_migros_ccfd30c93c00", "created": true, "selected_products": 8, "source_date": "2026-05-12"}


Real-Bon-UAT-Subset ist angelegt: 8 Produkte, Runtime-only. Jetzt starte ich die explizite Websuche über den API-Flow mit begrenztem Scope.

terminal

set -euo pipefail
curl -fsS -X POST http://127.0.0.1:8000/api/budget/grocery-optimizer/search-prices \
  -H 'content-type: application/json' \
  -d '{"receipt_id":"uat_real_migros_ccfd30c93c00","retailers":["Coop","Migros","Denner"],"use_cache":true,"max_products":8,"max_retailers":3,"only_safe_matches":false,"prefer_known_mappings":true}' \
  | python - <<'PY'
import json,sys
j=json.load(sys.stdin)
statuses={}
retailers={}
price=unit=0
for m in j.get('matches',[]):
    statuses[m.get('status','?')]=statuses.get(m.get('status','?'),0)+1
    retailers[m.get('retailer','?')]=retailers.get(m.get('retailer','?'),0)+1
    if m.get('price_text'): price+=1
    if m.get('unit_price_text'): unit+=1
print(json.dumps({'matches':len(j.get('matches',[])), 'provider_calls':j.get('provider_calls'), 'cache_hits':j.get('cache_hits'), 'statuses':statuses, 'retailers':retailers, 'price_present':price, 'unit_price_present':unit}, ensure_ascii=False))
PY


Output:
Traceback (most recent call last):
  File "<stdin>", line 2, in <module>
  File "/usr/lib/python3.12/json/__init__.py", line 293, in load
    return loads(fp.read(),
           ^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.12/json/__init__.py", line 346, in loads
    return _default_decoder.decode(s)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.12/json/decoder.py", line 337, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.12/json/decoder.py", line 355, in raw_decode
    raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
curl: (23) Failure writing output to destination


Die Pipeline war technisch falsch (Here-doc hat stdin verbraucht), nicht der API-Call. Ich wiederhole die Websuche und fasse die JSON-Antwort ohne Produktdetails zusammen.

Explanation:
**Figuring out stdin consumption**

I'm looking at an issue where the here-document seems to be consuming stdin. I think I need to set up a pipe to pass it to a Python command, using the `python -c` option. This way, I can ensure that the data is properly directed. But I wonder if I’m missing something in the execution flow. Let's make sure I’m getting this right so that the input works as intended!

set -euo pipefail
resp=$(curl -fsS -X POST http://127.0.0.1:8000/api/budget/grocery-optimizer/search-prices \
  -H 'content-type: application/json' \
  -d '{"receipt_id":"uat_real_migros_ccfd30c93c00","retailers":["Coop","Migros","Denner"],"use_cache":true,"max_products":8,"max_retailers":3,"only_safe_matches":false,"prefer_known_mappings":true}')
python -c 'import json,sys; j=json.loads(sys.argv[1]); statuses={}; retailers={}; price=unit=0
for m in j.get("matches",[]):
    statuses[m.get("status","?")]=statuses.get(m.get("status","?"),0)+1
    retailers[m.get("retailer","?")]=retailers.get(m.get("retailer","?"),0)+1
    price += 1 if m.get("price_text") else 0
    unit += 1 if m.get("unit_price_text") else 0
print(json.dumps({"matches":len(j.get("matches",[])), "provider_calls":j.get("provider_calls"), "cache_hits":j.get("cache_hits"), "statuses":statuses, "retailers":retailers, "price_present":price, "unit_price_present":unit}, ensure_ascii=False))' "$resp"


Output: {"matches": 24, "provider_calls": 16, "cache_hits": 0, "statuses": {"needs_review": 24}, "retailers": {"Coop": 8, "Migros": 8, "Denner": 8}, "price_present": 0, "unit_price_present": 0}


Die kontrollierte Websuche lieferte reviewbare Kandidaten, aber **keine sourced Preise**. Daher akzeptiere/lehne ich nur auditierbar als Mapping-Review, ohne diese als sichere Ersparnis zu zählen.

from hermes_tools import terminal
script = r'''
import json, urllib.request
base='http://127.0.0.1:8000'
body=json.dumps({"receipt_id":"uat_real_migros_ccfd30c93c00","retailers":["Coop","Migros","Denner"],"use_cache":True,"max_products":8,"max_retailers":3,"only_safe_matches":False,"prefer_known_mappings":True}).encode()
req=urllib.request.Request(base+'/api/budget/grocery-optimizer/search-prices', data=body, headers={'content-type':'application/json'})
j=json.loads(urllib.request.urlopen(req, timeout=120).read())
ids=[m['match_id'] for m in j.get('matches',[]) if m.get('match_id')]
accepted=rejected=0
if ids:
    data=json.dumps({'match_id': ids[0], 'save_as_preferred': True, 'user_note': 'UAT v3 accepted as reviewable no-price mapping'}).encode()
    urllib.request.urlopen(urllib.request.Request(base+f'/api/budget/grocery-optimizer/matches/{ids[0]}/accept', data=data, headers={'content-type':'application/json'}), timeout=60).read(); accepted+=1
for mid in ids[1:3]:
    data=json.dumps({'match_id': mid, 'user_note': 'UAT v3 rejected during real-bon review'}).encode()
    urllib.request.urlopen(urllib.request.Request(base+f'/api/budget/grocery-optimizer/matches/{mid}/reject', data=data, headers={'content-type':'application/json'}), timeout=60).read(); rejected+=1
print(json.dumps({'review_actions': accepted+rejected, 'accepted': accepted, 'rejected': rejected}, ensure_ascii=False))
'''
print(terminal('python - <<\'PY\'\n'+script+'\nPY', workdir='/home/agent/.hermes/repos/FinanceManager', timeout=180)['output'])


Output:
Traceback (most recent call last):
  File "<stdin>", line 11, in <module>
  File "/usr/lib/python3.12/urllib/request.py", line 215, in urlopen
    return opener.open(url, data, timeout)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.12/urllib/request.py", line 521, in open
    response = meth(req, response)
               ^^^^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.12/urllib/request.py", line 630, in http_response
    response = self.parent.error(
               ^^^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.12/urllib/request.py", line 559, in error
    return self._call_chain(*args)
           ^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.12/urllib/request.py", line 492, in _call_chain
    result = func(*args)
             ^^^^^^^^^^^
  File "/usr/lib/python3.12/urllib/request.py", line 639, in http_error_default
    raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 500: Internal Server Error


Eine Accept-Aktion ist mit 500 fehlgeschlagen. Ich prüfe den Backend-Fehler und behebe, falls es ein echter Edge-Case aus dem Real-UAT ist.


process

Output:
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:8000 (Press CTRL+C to quit)
INFO:     100.85.29.67:33228 - "GET /api/health HTTP/1.1" 200 OK
INFO:     100.85.29.67:33236 - "GET /api/runtime/status HTTP/1.1" 200 OK
INFO:     100.85.29.67:33274 - "GET /api/equity/positions HTTP/1.1" 200 OK
INFO:     100.85.29.67:33284 - "GET /api/cash/summary HTTP/1.1" 200 OK
INFO:     100.85.29.67:33244 - "GET /api/overview HTTP/1.1" 200 OK
INFO:     100.85.29.67:33260 - "GET /api/crypto/positions HTTP/1.1" 200 OK
INFO:     127.0.0.1:59528 - "GET /api/health HTTP/1.1" 200 OK
INFO:     127.0.0.1:59532 - "GET /api/health HTTP/1.1" 200 OK
INFO:     127.0.0.1:59540 - "GET /api/budget/grocery-optimizer/dashboard HTTP/1.1" 200 OK
INFO:     127.0.0.1:53926 - "POST /api/budget/grocery-optimizer/search-prices HTTP/1.1" 200 OK
INFO:     127.0.0.1:55544 - "POST /api/budget/grocery-optimizer/search-prices HTTP/1.1" 200 OK
INFO:     127.0.0.1:42666 - "POST /api/budget/grocery-optimizer/search-prices HTTP/1.1" 200 OK
INFO:     127.0.0.1:42674 - "POST /api/budget/grocery-optimizer/matches/gmatch_b3bf5538ab41420b/accept HTTP/1.1" 500 Internal Server Error
ERROR:    Exception in ASGI application
Traceback (most recent call last):
  File "/home/agent/jarvis_runtime/finance-system/venv/lib/python3.12/site-packages/uvicorn/protocols/http/httptools_impl.py", line 421, in run_asgi
    result = await app(  # type: ignore[func-returns-value]
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/agent/jarvis_runtime/finance-system/venv/lib/python3.12/site-packages/uvicorn/middleware/proxy_headers.py", line 56, in __call__
    return await self.app(scope, receive, send)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/agent/jarvis_runtime/finance-system/venv/lib/python3.12/site-packages/fastapi/applications.py", line 1159, in __call__
    await super().__call__(scope, receive, send)
  File "/home/agent/jarvis_runtime/finance-system/venv/lib/python3.12/site-packages/starlette/applications.py", line 90, in __call__
    await self.middleware_stack(scope, receive, send)
  File "/home/agent/jarvis_runtime/finance-system/venv/lib/python3.12/site-packages/starlette/middleware/errors.py", line 186, in __call__
    raise exc
  File "/home/agent/jarvis_runtime/finance-system/venv/lib/python3.12/site-packages/starlette/middleware/errors.py", line 164, in __call__
    await self.app(scope, receive, _send)
  File "/home/agent/jarvis_runtime/finance-system/venv/lib/python3.12/site-packages/starlette/middleware/cors.py", line 88, in __call__
    await self.app(scope, receive, send)
  File "/home/agent/jarvis_runtime/finance-system/venv/lib/python3.12/site-packages/starlette/middleware/exceptions.py", line 63, in __call__
    await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)
  File "/home/agent/jarvis_runtime/finance-system/venv/lib/python3.12/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
    raise exc
  File "/home/agent/jarvis_runtime/finance-system/venv/lib/python3.12/site-packages/starlette/_exception_handler.py", line 42, in wrapped_app
    await app(scope, receive, sender)
  File "/home/agent/jarvis_runtime/finance-system/venv/lib/python3.12/site-packages/fastapi/middleware/asyncexitstack.py", line 18, in __call__
    await self.app(scope, receive, send)
  File "/home/agent/jarvis_runtime/finance-system/venv/lib/python3.12/site-packages/starlette/routing.py", line 660, in __call__
    await self.middleware_stack(scope, receive, send)
  File "/home/agent/jarvis_runtime/finance-system/venv/lib/python3.12/site-packages/starlette/routing.py", line 680, in app
    await route.handle(scope, receive, send)
  File "/home/agent/jarvis_runtime/finance-system/venv/lib/python3.12/site-packages/starlette/routing.py", line 276, in handle
    await self.app(scope, receive, send)
  File "/home/agent/jarvis_runtime/finance-system/venv/lib/python3.12/site-packages/fastapi/routing.py", line 134, in app
    await wrap_app_handling_exceptions(app, request)(scope, receive, send)
  File "/home/agent/jarvis_runtime/finance-system/venv/lib/python3.12/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
    raise exc
  File "/home/agent/jarvis_runtime/finance-system/venv/lib/python3.12/site-packages/starlette/_exception_handler.py", line 42, in wrapped_app
    await app(scope, receive, sender)
  File "/home/agent/jarvis_runtime/finance-system/venv/lib/python3.12/site-packages/fastapi/routing.py", line 120, in app
    response = await f(request)
               ^^^^^^^^^^^^^^^^
  File "/home/agent/jarvis_runtime/finance-system/venv/lib/python3.12/site-packages/fastapi/routing.py", line 674, in app
    raw_response = await run_endpoint_function(
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/agent/jarvis_runtime/finance-system/venv/lib/python3.12/site-packages/fastapi/routing.py", line 330, in run_endpoint_function
    return await run_in_threadpool(dependant.call, **values)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/agent/jarvis_runtime/finance-system/venv/lib/python3.12/site-packages/starlette/concurrency.py", line 32, in run_in_threadpool
    return await anyio.to_thread.run_sync(func)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/agent/jarvis_runtime/finance-system/venv/lib/python3.12/site-packages/anyio/to_thread.py", line 63, in run_sync
    return await get_async_backend().run_sync_in_worker_thread(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/agent/jarvis_runtime/finance-system/venv/lib/python3.12/site-packages/anyio/_backends/_asyncio.py", line 2518, in run_sync_in_worker_thread
    return await future
           ^^^^^^^^^^^^
  File "/home/agent/jarvis_runtime/finance-system/venv/lib/python3.12/site-packages/anyio/_backends/_asyncio.py", line 1002, in run
    result = context.run(func, *args)
             ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py", line 174, in grocery_optimizer_accept_match
    return accept_grocery_product_match(conn, match_id, user_note=payload.get("user_note"), save_as_preferred=bool(payload.get("save_as_preferred", True)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/grocery_optimizer.py", line 190, in accept_grocery_product_match
    mapping = _insert_mapping(conn, item=item, target_retailer=match["retailer"], target_product_name=match["candidate_product_name"], target_product_url=match["candidate_url"], target_brand=match.get("candidate_brand"), target_package_size=match.get("candidate_package_size"), target_unit=match.get("candidate_unit"), target_price_text=match.get("candidate_price_text"), target_unit_price_text=match.get("candidate_unit_price_text"), match_type=(json.loads(match.get("quality_flags_json") or "[]") or ["manual_match"])[0], status="accepted" if save_as_preferred else "needs_review", confidence=match.get("match_confidence") or "0.80", user_note=user_note, source_match_id=match_id, quality_flags=json.loads(match.get("quality_flags_json") or "[]"), last_price_checked_at=match.get("fetched_at"))
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^


Output:
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/grocery_optimizer.py", line 190, in accept_grocery_product_match
    mapping = _insert_mapping(conn, item=item, target_retailer=match["retailer"], target_product_name=match["candidate_product_name"], target_product_url=match["candidate_url"], target_brand=match.get("candidate_brand"), target_package_size=match.get("candidate_package_size"), target_unit=match.get("candidate_unit"), target_price_text=match.get("candidate_price_text"), target_unit_price_text=match.get("candidate_unit_price_text"), match_type=(json.loads(match.get("quality_flags_json") or "[]") or ["manual_match"])[0], status="accepted" if save_as_preferred else "needs_review", confidence=match.get("match_confidence") or "0.80", user_note=user_note, source_match_id=match_id, quality_flags=json.loads(match.get("quality_flags_json") or "[]"), last_price_checked_at=match.get("fetched_at"))
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^


Real-UAT hat einen echten Edge-Case gefunden: Provider-Error/`needs_review`-Flags dürfen beim Akzeptieren nicht als `match_type` in die Mapping-Tabelle wandern. Ich fixiere das jetzt test-first: unsichere Provider-Kandidaten werden als `manual_match`/`needs_review`-Mapping auditierbar gespeichert, nicht als sichere Ersparnis.

patch

def test_no_price_provider_candidate_is_persisted_and_rejectable() -> None:
    conn = db()
    receipt = seed_receipt(conn)
    provider = StaticProvider('Coop', [GroceryProviderResult(retailer='Coop', product_name='Coop Milch ohne Preis', product_url='https://coop.example/no-price', price_text=None, unit_price_text=None, confidence='0.50')])
    found = search_and_store_product_matches(conn, 'r1', providers=[provider], included_product_item_ids=[receipt['items'][0]['product_item_id']], use_cache=False)
    assert found['matches'][0]['status'] == 'needs_review'
    assert found['matches'][0]['match_id']
    accepted = accept_grocery_product_match(conn, found['matches'][0]['match_id'], save_as_preferred=False)
    assert accepted['status'] == 'needs_review'
    assert accepted['match_type'] == 'manual_match'
    rejected = reject_grocery_product_match(conn, found['matches'][0]['match_id'])
    assert rejected['status'] == 'rejected'

def test_no_price_provider_candidate_is_persisted_and_rejectable() -> None:
    conn = db()
    receipt = seed_receipt(conn)
    provider = StaticProvider('Coop', [GroceryProviderResult(retailer='Coop', product_name='Coop Milch ohne Preis', product_url='https://coop.example/no-price', price_text=None, unit_price_text=None, confidence='0.50')])
    found = search_and_store_product_matches(conn, 'r1', providers=[provider], included_product_item_ids=[receipt['items'][0]['product_item_id']], use_cache=False)
    assert found['matches'][0]['status'] == 'needs_review'
    assert found['matches'][0]['match_id']
    rejected = reject_grocery_product_match(conn, found['matches'][0]['match_id'])
    assert rejected['status'] == 'rejected'


--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_grocery_matching_learning_v2.py
+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_grocery_matching_learning_v2.py
@@ -141,6 +141,9 @@
     found = search_and_store_product_matches(conn, 'r1', providers=[provider], included_product_item_ids=[receipt['items'][0]['product_item_id']], use_cache=False)
     assert found['matches'][0]['status'] == 'needs_review'
     assert found['matches'][0]['match_id']
+    accepted = accept_grocery_product_match(conn, found['matches'][0]['match_id'], save_as_preferred=False)
+    assert accepted['status'] == 'needs_review'
+    assert accepted['match_type'] == 'manual_match'
     rejected = reject_grocery_product_match(conn, found['matches'][0]['match_id'])
     assert rejected['status'] == 'rejected'


terminal

source ~/jarvis_runtime/finance-system/venv/bin/activate && unset JARVIS_FINANCE_DB_PATH && PYTHONPATH=src pytest tests/unit/test_grocery_matching_learning_v2.py::test_no_price_provider_candidate_is_persisted_and_rejectable -q


Output:
F                                                                        [100%]
=================================== FAILURES ===================================
_________ test_no_price_provider_candidate_is_persisted_and_rejectable _________

    def test_no_price_provider_candidate_is_persisted_and_rejectable() -> None:
        conn = db()
        receipt = seed_receipt(conn)
        provider = StaticProvider('Coop', [GroceryProviderResult(retailer='Coop', product_name='Coop Milch ohne Preis', product_url='https://coop.example/no-price', price_text=None, unit_price_text=None, confidence='0.50')])
        found = search_and_store_product_matches(conn, 'r1', providers=[provider], included_product_item_ids=[receipt['items'][0]['product_item_id']], use_cache=False)
        assert found['matches'][0]['status'] == 'needs_review'
        assert found['matches'][0]['match_id']
>       accepted = accept_grocery_product_match(conn, found['matches'][0]['match_id'], save_as_preferred=False)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/unit/test_grocery_matching_learning_v2.py:144:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
src/jarvis_finance/services/grocery_optimizer.py:190: in accept_grocery_product_match
    mapping = _insert_mapping(conn, item=item, target_retailer=match["retailer"], target_product_name=match["candidate_product_name"], target_product_url=match["candidate_url"], target_brand=match.get("candidate_brand"), target_package_size=match.get("candidate_package_size"), target_unit=match.get("candidate_unit"), target_price_text=match.get("candidate_price_text"), target_unit_price_text=match.get("candidate_unit_price_text"), match_type=(json.loads(match.get("quality_flags_json") or "[]") or ["manual_match"])[0], status="accepted" if save_as_preferred else "needs_review", confidence=match.get("match_confidence") or "0.80", user_note=user_note, source_match_id=match_id, quality_flags=json.loads(match.get("quality_flags_json") or "[]"), last_price_checked_at=match.get("fetched_at"))
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

conn = <sqlite3.Connection object at 0x77639c81d300>

    def _insert_mapping(conn: Connection, *, item: dict[str, Any], target_retailer: str, target_product_name: str, target_product_url: str, match_type: str, status: str, confidence: str = "0.80", user_note: str | None = None, source_match_id: str | None = None, target_brand: str | None = None, target_package_size: str | None = None, target_unit: str | None = None, target_price_text: str | None = None, target_unit_price_text: str | None = None, quality_flags: list[str] | None = None, last_price_checked_at: str | None = None) -> dict[str, Any]:
        if target_retailer not in SAFE_RETAILERS:
            raise ValueError("unsupported_retailer")
        if match_type not in SAFE_MATCH_TYPES:
>           raise ValueError("unsupported_match_type")
E           ValueError: unsupported_match_type

src/jarvis_finance/services/grocery_optimizer.py:170: ValueError
=========================== short test summary info ============================
FAILED tests/unit/test_grocery_matching_learning_v2.py::test_no_price_provider_candidate_is_persisted_and_rejectable
1 failed in 0.35s


patch

    conn.execute("UPDATE grocery_product_matches SET status='accepted' WHERE match_id=?", (match_id,))
    flags = json.loads(match.get("quality_flags_json") or "[]")
    match_type = next((flag for flag in flags if flag in SAFE_MATCH_TYPES), "manual_match")
    mapping = _insert_mapping(conn, item=item, target_retailer=match["retailer"], target_product_name=match["candidate_product_name"], target_product_url=match["candidate_url"], target_brand=match.get("candidate_brand"), target_package_size=match.get("candidate_package_size"), target_unit=match.get("candidate_unit"), target_price_text=match.get("candidate_price_text"), target_unit_price_text=match.get("candidate_unit_price_text"), match_type=match_type, status="accepted" if save_as_preferred else "needs_review", confidence=match.get("match_confidence") or "0.80", user_note=user_note, source_match_id=match_id, quality_flags=flags or [match_type], last_price_checked_at=match.get("fetched_at") if match.get("candidate_price_text") else None)

    conn.execute("UPDATE grocery_product_matches SET status='accepted' WHERE match_id=?", (match_id,))
    mapping = _insert_mapping(conn, item=item, target_retailer=match["retailer"], target_product_name=match["candidate_product_name"], target_product_url=match["candidate_url"], target_brand=match.get("candidate_brand"), target_package_size=match.get("candidate_package_size"), target_unit=match.get("candidate_unit"), target_price_text=match.get("candidate_price_text"), target_unit_price_text=match.get("candidate_unit_price_text"), match_type=(json.loads(match.get("quality_flags_json") or "[]") or ["manual_match"])[0], status="accepted" if save_as_preferred else "needs_review", confidence=match.get("match_confidence") or "0.80", user_note=user_note, source_match_id=match_id, quality_flags=json.loads(match.get("quality_flags_json") or "[]"), last_price_checked_at=match.get("fetched_at"))


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/grocery_optimizer.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/grocery_optimizer.py
@@ -187,7 +187,9 @@
     match = row_to_dict(row)
     item = row_to_dict(conn.execute("SELECT * FROM grocery_product_items WHERE product_item_id=?", (match["product_item_id"],)).fetchone())
     conn.execute("UPDATE grocery_product_matches SET status='accepted' WHERE match_id=?", (match_id,))
-    mapping = _insert_mapping(conn, item=item, target_retailer=match["retailer"], target_product_name=match["candidate_product_name"], target_product_url=match["candidate_url"], target_brand=match.get("candidate_brand"), target_package_size=match.get("candidate_package_size"), target_unit=match.get("candidate_unit"), target_price_text=match.get("candidate_price_text"), target_unit_price_text=match.get("candidate_unit_price_text"), match_type=(json.loads(match.get("quality_flags_json") or "[]") or ["manual_match"])[0], status="accepted" if save_as_preferred else "needs_review", confidence=match.get("match_confidence") or "0.80", user_note=user_note, source_match_id=match_id, quality_flags=json.loads(match.get("quality_flags_json") or "[]"), last_price_checked_at=match.get("fetched_at"))
+    flags = json.loads(match.get("quality_flags_json") or "[]")
+    match_type = next((flag for flag in flags if flag in SAFE_MATCH_TYPES), "manual_match")
+    mapping = _insert_mapping(conn, item=item, target_retailer=match["retailer"], target_product_name=match["candidate_product_name"], target_product_url=match["candidate_url"], target_brand=match.get("candidate_brand"), target_package_size=match.get("candidate_package_size"), target_unit=match.get("candidate_unit"), target_price_text=match.get("candidate_price_text"), target_unit_price_text=match.get("candidate_unit_price_text"), match_type=match_type, status="accepted" if save_as_preferred else "needs_review", confidence=match.get("match_confidence") or "0.80", user_note=user_note, source_match_id=match_id, quality_flags=flags or [match_type], last_price_checked_at=match.get("fetched_at") if match.get("candidate_price_text") else None)
     return mapping


terminal

{"output": "F                                                                        [100%]\n=================================== FAILURES ===================================\n_________ test_no_price_provider_candidate_is_persisted_and_rejectable _________\n\n    def test_no_price_provider_candidate_is_persisted_and_rejectable() -> None:\n        conn = db()\n        receipt = seed_receipt(conn)\n        provider = StaticProvider('Coop', [GroceryProviderResult(retailer='Coop', product_name='Coop Milch ohne Preis', product_url='https://coop.example/no-price', price_text=None, unit_price_text=None, confidence='0.50')])\n        found = search_and_store_product_matches(conn, 'r1', providers=[provider], included_product_item_ids=[receipt['items'][0]['product_item_id']], use_cache=False)\n        assert found['matches'][0]['status'] == 'needs_review'\n        assert found['matches'][0]['match_id']\n        accepted = accept_grocery_product_match(conn, found['matches'][0]['match_id'], save_as_preferred=False)\n        assert accepted['status'] == 'needs_review'\n>       assert accepted['match_type'] == 'manual_match'\nE       AssertionError: assert 'close_match' == 'manual_match'\nE         \nE         - manual_match\nE         + close_match\n\ntests/unit/test_grocery_matching_learning_v2.py:146: AssertionError\n=========================== short test summary info ============================\nFAILED tests/unit/test_grocery_matching_learning_v2.py::test_no_price_provider_candidate_is_persisted_and_rejectable\n1 failed in 0.28s", "exit_code": 1, "error": null}

[Tool loop warning: repeated_exact_failure_warning; count=2; terminal has failed 2 times with identical arguments. This looks like a loop; inspect the error and change strategy instead of retrying it unchanged.]


Explanation:
**Adjusting price matching logic**

I need to check the flags, especially for close matches, even when there's no price. Should I include a desired state? If the test indicates no price, then there's a fallback to a manual match. I might need to adjust the code to ensure that if there's no candidate price text available, it defaults to this manual matching process. I want to make sure everything works smoothly and efficiently for the user!

patch

match_type = "manual_match" if not match.get("candidate_price_text") else next((flag for flag in flags if flag in SAFE_MATCH_TYPES), "manual_match")

match_type = next((flag for flag in flags if flag in SAFE_MATCH_TYPES), "manual_match")


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/grocery_optimizer.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/grocery_optimizer.py
@@ -188,7 +188,7 @@
     item = row_to_dict(conn.execute("SELECT * FROM grocery_product_items WHERE product_item_id=?", (match["product_item_id"],)).fetchone())
     conn.execute("UPDATE grocery_product_matches SET status='accepted' WHERE match_id=?", (match_id,))
     flags = json.loads(match.get("quality_flags_json") or "[]")
-    match_type = next((flag for flag in flags if flag in SAFE_MATCH_TYPES), "manual_match")
+    match_type = "manual_match" if not match.get("candidate_price_text") else next((flag for flag in flags if flag in SAFE_MATCH_TYPES), "manual_match")
     mapping = _insert_mapping(conn, item=item, target_retailer=match["retailer"], target_product_name=match["candidate_product_name"], target_product_url=match["candidate_url"], target_brand=match.get("candidate_brand"), target_package_size=match.get("candidate_package_size"), target_unit=match.get("candidate_unit"), target_price_text=match.get("candidate_price_text"), target_unit_price_text=match.get("candidate_unit_price_text"), match_type=match_type, status="accepted" if save_as_preferred else "needs_review", confidence=match.get("match_confidence") or "0.80", user_note=user_note, source_match_id=match_id, quality_flags=flags or [match_type], last_price_checked_at=match.get("fetched_at") if match.get("candidate_price_text") else None)
     return mapping


terminal

Output:
.                                                                        [100%]
1 passed in 0.29s


Der UAT-Edge-Case ist lokal gefixt und testgrün. Da `v0.3.2` bereits ohne Force gepusht ist, verschiebe ich den Tag nicht. Ich nutze jetzt den gefixten `main`-Working-Tree für UAT, verifiziere final und pushe danach einen normalen Hotfix-Commit auf `main` — sauberer als Tag-Herumbiegerei.

Explanation:
**Considering versioning and tagging**

I need to restart the backend to apply a fix before UAT. The fix isn't committed after tagging v0.3.2, which means I might need a new commit. Since I already pushed the tag, I can't overwrite it. Instead of moving the tag, I could create a new v0.3.3 release. The user mentioned v0.3.2, but we found a bug after tagging. Committing the hotfix to main and tagging v0.3.3 seems like the best option.
**Planning versioning steps**

Since I can't force a retag, it might not be ideal to create a v0.3.3 tag without fully verifying things first. The user is asking for v0.3.2, so I should hold off tagging the hotfix until I get more confirmation. The release tag is already out, so I need to stabilize the main branch with the hotfix. I'll report that the "Release tag v0.3.2 was set," and we found a post-tag issue during UAT that was fixed in a follow-up commit. I'll focus on restarting the backend with the fix before UAT.

set -euo pipefail
cd /home/agent/.hermes/repos/FinanceManager
for port in 8000 5173; do
  pids=$(ss -ltnp 2>/dev/null | awk -v p=":$port" '$4 ~ p {print $0}' | sed -n 's/.*pid=\([0-9]*\).*/\1/p' | sort -u || true)
  if [ -n "$pids" ]; then kill $pids || true; fi
done


Output: Background process started


Output: Background process started


set -euo pipefail
for i in $(seq 1 60); do curl -fsS http://127.0.0.1:8000/api/health >/dev/null && curl -fsS http://127.0.0.1:5173/ >/dev/null && break; sleep 1; done
printf 'backend=%s\n' "$(curl -fsS -o /dev/null -w '%{http_code}' http://127.0.0.1:8000/api/health)"
printf 'frontend=%s\n' "$(curl -fsS -o /dev/null -w '%{http_code}' http://127.0.0.1:5173/)"


Output:
backend=200
frontend=200


from hermes_tools import terminal
script = r'''
import json, urllib.request, urllib.error
base='http://127.0.0.1:8000'
body=json.dumps({"receipt_id":"uat_real_migros_ccfd30c93c00","retailers":["Coop","Migros","Denner"],"use_cache":True,"max_products":8,"max_retailers":3,"only_safe_matches":False,"prefer_known_mappings":True}).encode()
def post(path, data):
    return json.loads(urllib.request.urlopen(urllib.request.Request(base+path, data=json.dumps(data).encode(), headers={'content-type':'application/json'}), timeout=120).read())
j=json.loads(urllib.request.urlopen(urllib.request.Request(base+'/api/budget/grocery-optimizer/search-prices', data=body, headers={'content-type':'application/json'}), timeout=120).read())
ids=[]
for m in j.get('matches',[]):
    if m.get('match_id') and m['match_id'] not in ids:
        ids.append(m['match_id'])
accepted=rejected=0
if ids:
    post(f'/api/budget/grocery-optimizer/matches/{ids[0]}/accept', {'match_id': ids[0], 'save_as_preferred': False, 'user_note': 'UAT v3 accepted as reviewable no-price mapping'}); accepted+=1
for mid in ids[1:3]:
    post(f'/api/budget/grocery-optimizer/matches/{mid}/reject', {'match_id': mid, 'user_note': 'UAT v3 rejected during real-bon review'}); rejected+=1
print(json.dumps({'review_actions': accepted+rejected, 'accepted_needs_review': accepted, 'rejected': rejected}, ensure_ascii=False))
'''
print(terminal('python - <<\'PY\'\n'+script+'\nPY', workdir='/home/agent/.hermes/repos/FinanceManager', timeout=180)['output'])


Output: {"review_actions": 3, "accepted_needs_review": 1, "rejected": 2}


Review-Aktionen sind erfolgt: 1 akzeptiert als `needs_review`, 2 abgelehnt. Ich erzeuge jetzt Einkaufsliste und Runtime-Report und erfasse die Mapping-Qualität aggregiert ohne Preise/Produktnamen.

from hermes_tools import terminal
script = r'''
import json, urllib.request, sqlite3, os
from pathlib import Path
base='http://127.0.0.1:8000'
def post(path, data):
    return json.loads(urllib.request.urlopen(urllib.request.Request(base+path, data=json.dumps(data).encode(), headers={'content-type':'application/json'}), timeout=120).read())
run=post('/api/budget/grocery-optimizer/optimize', {'receipt_id':'uat_real_migros_ccfd30c93c00','selected_retailers':['Coop','Migros','Denner'],'max_store_count':3})
report=post('/api/budget/grocery-optimizer/report', {'run_id': run['run_id']})
db=Path.home()/'jarvis_runtime/finance-system/data/finance.sqlite3'
conn=sqlite3.connect(db); conn.row_factory=sqlite3.Row
items=conn.execute('SELECT product_item_id, normalized_product_name FROM grocery_product_items WHERE receipt_id=? ORDER BY source_line_id LIMIT 8',('uat_real_migros_ccfd30c93c00',)).fetchall()
status_counts={}; retailer_counts={}; match_type_counts={}; price_present=unit_present=package_comparable=0
final_status={'accepted':0,'rejected':0,'needs_review':0,'later':0}
for item in items:
    maps=conn.execute('SELECT * FROM grocery_product_mappings WHERE source_product_normalized_name=? ORDER BY updated_at DESC',(item['normalized_product_name'],)).fetchall()
    if maps:
        m=maps[0]
        final_status[m['status'] if m['status'] in final_status else 'later'] += 1
        retailer_counts[m['target_retailer']]=retailer_counts.get(m['target_retailer'],0)+1
        match_type_counts[m['match_type']]=match_type_counts.get(m['match_type'],0)+1
        if m['target_price_text']: price_present += 1
        if m['target_unit_price_text']: unit_present += 1
        if m['target_package_size'] or m['target_unit']: package_comparable += 1
    else:
        final_status['later'] += 1
for c in run.get('product_comparisons',[]):
    status_counts[c.get('status','?')]=status_counts.get(c.get('status','?'),0)+1
report_path=Path(report['report_path'])
repo=Path('/home/agent/.hermes/repos/FinanceManager').resolve()
inside_repo=False
try:
    report_path.resolve().relative_to(repo); inside_repo=True
except ValueError:
    pass
print(json.dumps({
 'tested_products': len(items),
 'run_quality': run.get('quality_status'),
 'comparison_statuses': status_counts,
 'mapping_final_status': final_status,
 'retailer_counts': retailer_counts,
 'match_type_counts': match_type_counts,
 'price_present_count': price_present,
 'unit_price_present_count': unit_present,
 'package_comparable_count': package_comparable,
 'shopping_list_store_count': run.get('optimized_lists',[{}])[0].get('store_count'),
 'report_runtime_only': report.get('runtime_only'),
 'report_inside_repo': inside_repo,
 'report_exists': report_path.exists()
}, ensure_ascii=False))
'''
print(terminal('python - <<\'PY\'\n'+script+'\nPY', workdir='/home/agent/.hermes/repos/FinanceManager', timeout=180)['output'])


Output: {"tested_products": 8, "run_quality": "review_required", "comparison_statuses": {"needs_review": 3, "rejected": 2, "not_found": 3}, "mapping_final_status": {"accepted": 0, "rejected": 2, "needs_review": 2, "later": 4}, "retailer_counts": {"Migros": 4}, "match_type_counts": {"manual_match": 4}, "price_present_count": 0, "unit_price_present_count": 0, "package_comparable_count": 0, "shopping_list_store_count": 0, "report_runtime_only": true, "report_inside_repo": false, "report_exists": true}


UAT-Run und Runtime-Report sind erzeugt; Report liegt außerhalb des Repos. Ich bewerte jetzt Provider kontrolliert aus Code + kleinem UAT-Ergebnis, ohne weitere Massensuche.

Explanation:
**Assessing provider details**

I need to conduct a provider assessment, but I should start without specific product details. Maybe I can first query the hidden items. Assessing from user acceptance testing (UAT) might be useful since I have Coop, Migros, and Denner, but I lack prices. I should also include Aldi, Lidl, and Otto for a skeletal outline. It sounds like I need to inspect the classes of the providers to gather more information.


1|from __future__ import annotations
     2|
     3|import hashlib
     4|import html
     5|import json
     6|import re
     7|from dataclasses import dataclass
     8|from datetime import datetime, timezone, timedelta
     9|from decimal import Decimal, InvalidOperation
    10|from sqlite3 import Connection
    11|from typing import Any, Callable
    12|from urllib.parse import quote_plus, urljoin
    13|from urllib.request import Request, urlopen
    14|
    15|from jarvis_finance.services.budget_common import new_id, row_to_dict
    16|from jarvis_finance.services.grocery_optimizer import _items_for_receipt, upsert_product_match, known_mappings_for_item
    17|
    18|SAFE_MATCH_FLAGS = {"exact_match", "close_match", "cheaper_private_label"}
    19|UNSAFE_FLAGS = {"needs_review", "no_price", "no_unit_price", "different_pack_size", "different_quality", "organic_mismatch"}
    20|
    21|
    22|def _now() -> str:
    23|    return datetime.now(timezone.utc).isoformat()
    24|
    25|
    26|def _decimal_text(value: Any) -> str | None:
    27|    if value is None:
    28|        return None
    29|    text = str(value).replace("CHF", "").replace("'", "").replace("’", "").strip().replace(",", ".")
    30|    match = re.search(r"-?\d+(?:\.\d+)?", text)
    31|    if not match:
    32|        return None
    33|    try:
    34|        return f"{Decimal(match.group(0)).quantize(Decimal('0.01')):.2f}"
    35|    except InvalidOperation:
    36|        return None
    37|
    38|
    39|def _money(value: Any) -> Decimal:
    40|    text = _decimal_text(value)
    41|    return Decimal(text or "0.00")
    42|
    43|
    44|def _abs_url(base: str, url: str) -> str:
    45|    return urljoin(base, html.unescape(url or ""))
    46|
    47|
    48|class GroceryProviderRateLimitError(RuntimeError):
    49|    pass
    50|
    51|
    52|@dataclass
    53|class GroceryProviderResult:
    54|    retailer: str
    55|    product_name: str
    56|    product_url: str
    57|    price_text: str | None = None
    58|    unit_price_text: str | None = None
    59|    brand: str | None = None
    60|    image_url: str | None = None
    61|    package_size: str | None = None
    62|    unit: str | None = None
    63|    currency: str = "CHF"
    64|    availability_status: str = "unknown"
    65|    promotion_text: str | None = None
    66|    source: str = "web_fetch"
    67|    confidence: str = "0.60"
    68|    quality_flags: list[str] | None = None
    69|    status: str = "suggested"
    70|    fetched_at: str | None = None
    71|    raw_result: dict[str, Any] | None = None
    72|
    73|    def as_dict(self) -> dict[str, Any]:
    74|        price_decimal = _decimal_text(self.price_text)
    75|        unit_decimal = _decimal_text(self.unit_price_text)
    76|        flags = list(self.quality_flags or [])
    77|        if not price_decimal and "no_price" not in flags:
    78|            flags.append("no_price")
    79|        if not unit_decimal and "no_unit_price" not in flags:
    80|            flags.append("no_unit_price")
    81|        if not flags:
    82|            flags = ["needs_review"]
    83|        return {
    84|            "retailer": self.retailer,
    85|            "product_name": self.product_name,
    86|            "brand": self.brand,
    87|            "product_url": self.product_url,
    88|            "image_url": self.image_url,
    89|            "price_text": price_decimal or self.price_text,
    90|            "price_decimal_text": price_decimal,
    91|            "currency": self.currency,
    92|            "package_size": self.package_size,
    93|            "unit": self.unit,
    94|            "unit_price_text": self.unit_price_text,
    95|            "unit_price_decimal_text": unit_decimal,
    96|            "availability_status": self.availability_status,
    97|            "promotion_text": self.promotion_text,
    98|            "fetched_at": self.fetched_at or _now(),
    99|            "source": self.source,
   100|            "confidence": self.confidence,
   101|            "quality_flags": flags,
   102|            "status": self.status if self.status else ("suggested" if set(flags) & SAFE_MATCH_FLAGS else "needs_review"),
   103|            "raw_result": self.raw_result or {},
   104|        }
   105|
   106|
   107|class GroceryProductProvider:
   108|    retailer = "generic"
   109|    base_url = "https://example.invalid/"
   110|    future_status: str | None = None
   111|
   112|    def __init__(self, fetcher: Callable[[str], str] | None = None, max_requests: int = 5):
   113|        self.fetcher = fetcher or self._default_fetcher
   114|        self.max_requests = max_requests
   115|        self.request_count = 0
   116|
   117|    def search_url(self, query: str, locale: str = "de-CH") -> str:
   118|        return self.base_url + "search?q=" + quote_plus(query)
   119|
   120|    def _default_fetcher(self, url: str) -> str:
   121|        if self.future_status:
   122|            raise NotImplementedError(self.future_status)
   123|        req = Request(url, headers={"User-Agent": "JarvisFinanceBot/1.0 low-volume product price lookup"})
   124|        with urlopen(req, timeout=8) as response:  # noqa: S310 - explicit user-triggered low-volume public lookup
   125|            if response.status == 429:
   126|                raise GroceryProviderRateLimitError("rate_limited")
   127|            return response.read().decode("utf-8", errors="ignore")
   128|
   129|    def _fetch(self, url: str) -> str:
   130|        self.request_count += 1
   131|        if self.request_count > self.max_requests:
   132|            raise GroceryProviderRateLimitError("rate_limited")
   133|        return self.fetcher(url)
   134|
   135|    def normalize_result(self, raw_result: dict[str, Any]) -> GroceryProviderResult:
   136|        return GroceryProviderResult(retailer=self.retailer, **raw_result)
   137|
   138|    def parse_search_results(self, html_text: str) -> list[dict[str, Any]]:
   139|        chunks = re.findall(r"
]*data-product[^>]*>(.*?)
", html_text, flags=re.I | re.S) or [html_text]
   140|        results: list[dict[str, Any]] = []
   141|        for chunk in chunks[:5]:
   142|            link = re.search(r"]+href=[\"']([^\"']+)[\"'][^>]*>(.*?)", chunk, flags=re.I | re.S)
   143|            price = re.search(r"class=[\"'][^\"']*price[^\"']*[\"'][^>]*>(.*?)</", chunk, flags=re.I | re.S)
   144|            unit_price = re.search(r"class=[\"'][^\"']*unit-price[^\"']*[\"'][^>]*>(.*?)</", chunk, flags=re.I | re.S)
   145|            brand = re.search(r"class=[\"'][^\"']*brand[^\"']*[\"'][^>]*>(.*?)</", chunk, flags=re.I | re.S)
   146|            if not link:
   147|                continue
   148|            name = re.sub(r"<[^>]+>", "", link.group(2)).strip()
   149|            results.append({
   150|                "product_name": html.unescape(name),
   151|                "product_url": _abs_url(self.base_url, link.group(1)),
   152|                "price_text": re.sub(r"<[^>]+>", "", price.group(1)).strip() if price else None,
   153|                "unit_price_text": re.sub(r"<[^>]+>", "", unit_price.group(1)).strip() if unit_price else None,
   154|                "brand": re.sub(r"<[^>]+>", "", brand.group(1)).strip() if brand else None,
   155|                "raw_result": {"source": "html_article"},
   156|            })
   157|        return results
   158|
   159|    def _cache_key(self, query: str) -> str:
   160|        return f"provider-search://{self.retailer}/{quote_plus(query.lower().strip())}"
   161|
   162|    def get_cached_result(self, conn: Connection, query: str, max_results: int = 5, max_age_seconds: int = 86400) -> list[dict[str, Any]]:
   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()
   164|        output = []
   165|        cutoff = datetime.now(timezone.utc) - timedelta(seconds=max_age_seconds)
   166|        for row in rows:
   167|            d = row_to_dict(row)
   168|            try:
   169|                fetched_dt = datetime.fromisoformat(str(d.get("fetched_at")))
   170|                if fetched_dt.tzinfo is None:
   171|                    fetched_dt = fetched_dt.replace(tzinfo=timezone.utc)
   172|                if fetched_dt < cutoff:
   173|                    continue
   174|            except Exception:
   175|                continue
   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"})
   177|        return output
   178|
   179|    def store_cache(self, conn: Connection, query: str, result: dict[str, Any]) -> None:
   180|        detail_id = new_id("gdetail")
   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)
   182|            VALUES (COALESCE((SELECT detail_id FROM grocery_product_details_cache WHERE retailer=? AND product_url=?), ?), ?, ?, ?, ?, ?, ?, NULL, '{}', ?, 'cached', ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)""",
   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 {})))
   184|        conn.commit()
   185|
   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]]:
   187|        if self.future_status:
   188|            return [{"retailer": self.retailer, "query": query, "status": "needs_review", "future_status": self.future_status, "quality_flags": ["needs_review"], "source": "skeleton"}]
   189|        if use_cache:
   190|            cached = self.get_cached_result(conn, query, max_results=max_results, max_age_seconds=max_age_seconds)
   191|            if cached:
   192|                return cached
   193|        try:
   194|            html_text = self._fetch(self.search_url(query, locale=locale))
   195|            raw_rows = self.parse_search_results(html_text)[:max_results]
   196|            results = [self.normalize_result(raw).as_dict() for raw in raw_rows]
   197|            for result in results:
   198|                self.store_cache(conn, query, result)
   199|            return results
   200|        except GroceryProviderRateLimitError:
   201|            return [{"retailer": self.retailer, "query": query, "status": "needs_review", "quality_flags": ["rate_limited", "needs_review"], "source": "web_fetch", "fetched_at": _now()}]
   202|        except Exception as exc:
   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()}]
   204|
   205|    def fetch_product_detail(self, url: str) -> dict[str, Any]:
   206|        html_text = self._fetch(url)
   207|        parsed = self.parse_search_results(html_text)
   208|        return parsed[0] if parsed else {"product_url": url, "status": "needs_review"}
   209|
   210|
   211|class MigrosProvider(GroceryProductProvider):
   212|    retailer = "Migros"
   213|    base_url = "https://www.migros.ch/de/search?query="
   214|
   215|    def search_url(self, query: str, locale: str = "de-CH") -> str:
   216|        return self.base_url + quote_plus(query)
   217|
   218|
   219|class CoopProvider(GroceryProductProvider):
   220|    retailer = "Coop"
   221|    base_url = "https://www.coop.ch/de/search/?text="
   222|
   223|    def search_url(self, query: str, locale: str = "de-CH") -> str:
   224|        return self.base_url + quote_plus(query)
   225|
   226|
   227|class AldiSuisseProvider(GroceryProductProvider):
   228|    retailer = "Aldi Suisse"
   229|    future_status = "skeleton_provider_not_live"
   230|
   231|
   232|class LidlSchweizProvider(GroceryProductProvider):
   233|    retailer = "Lidl"
   234|    future_status = "skeleton_provider_not_live"
   235|
   236|
   237|class DennerProvider(GroceryProductProvider):
   238|    retailer = "Denner"
   239|    future_status = "skeleton_provider_not_live"
   240|
   241|
   242|class OttosProvider(GroceryProductProvider):
   243|    retailer = "Otto's"
   244|    future_status = "skeleton_provider_not_live"
   245|
   246|
   247|def provider_for_retailer(retailer: str) -> GroceryProductProvider:
   248|    mapping: dict[str, type[GroceryProductProvider]] = {"Migros": MigrosProvider, "Coop": CoopProvider, "Aldi Suisse": AldiSuisseProvider, "Lidl": LidlSchweizProvider, "Denner": DennerProvider, "Otto's": OttosProvider}
   249|    return mapping.get(retailer, GroceryProductProvider)()
   250|
   251|
   252|def quality_flags_for_match(original_name: str, result: dict[str, Any]) -> list[str]:
   253|    original = original_name.lower()
   254|    candidate = str(result.get("product_name") or "").lower()
   255|    flags: list[str] = []
   256|    if not result.get("price_decimal_text"):
   257|        flags.append("no_price")
   258|    if not result.get("unit_price_decimal_text"):
   259|        flags.append("no_unit_price")
   260|    if original and original == candidate:
   261|

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Providerstatus ist aus UAT+Code klar: Coop/Migros Live-Search liefert aktuell keine parsebaren Preise im Real-Bon-Flow; Denner/Aldi/Lidl/Otto’s sind bewusst Skeleton. Ich mache jetzt finale Tests/Scans mit dem UAT-Hotfix, commite/pushe main, und lasse danach Browser-Sanity laufen.

Explanation:
**Verifying changes and commits**

I need to check the UI in the browser, but it’s crucial to commit the hotfix first. After that, I’ll run full tests to make sure everything works correctly. I also noticed that the UAT generated runtime modifications aren't reflected in git, so I should do a git status to check the current state. It sounds like there are several important steps to tackle!

todo

Kleinen Real-Bon-UAT mit 5–10 Produkten durchführen; keine Preise/Produktdetails im Chat/Git

Mapping-Qualität aggregiert bewerten und Mapping-Library Reuse/Reject/Manual/Refresh prüfen

Provider-Härtung kontrolliert bewerten/dokumentieren ohne Massenscrape

UI/Report v3 Ergänzungen: Produktfilter, sichere/unsichere Trennung, Mapping-Liste/Preisrefresh/Report-Hinweise

Finale Tests/Build/Scans/Git-Safety/Browser-Sanity/Commit/Push/Abschlussbericht


Release-Preflight: Branch/Remote/Main/Working Tree/Merge-Konflikt-Risiko/Tests/Git-Safety prüfen

V2 nach main mergen, v0.3.2 taggen, main/tag pushen, Dashboard aus main neu starten


terminal

set -euo pipefail
cd /home/agent/.hermes/repos/FinanceManager
source ~/jarvis_runtime/finance-system/venv/bin/activate
unset JARVIS_FINANCE_DB_PATH GIT_ASKPASS
PYTHONPATH=src python -m compileall -q src tests
PYTHONPATH=src pytest -q
cd frontend
npm test -- --run
npm run build


Output:
........................................................................ [ 14%]
........................................................................ [ 29%]
........................................................................ [ 43%]
........................................................................ [ 58%]
........................................................................ [ 72%]
........................................................................ [ 87%]
................................................................         [100%]
496 passed in 55.43s

> jarvis-finance-dashboard-vue@0.0.0 test
> vitest run --environment jsdom --run

 RUN  v4.1.6 /home/agent/.hermes/repos/FinanceManager/frontend

 ✓ src/pages/PositionAddPage.test.ts (4 tests) 483ms
 ✓ src/pages/BudgetGroceryOptimizerPage.test.ts (3 tests) 448ms
 ✓ src/pages/BudgetIncomePage.test.ts (6 tests) 720ms
 ✓ src/pages/CryptoPage.test.ts (4 tests) 576ms
stderr | src/pages/BudgetPhase1.test.ts > Budget Phase 1 Vue UI > renders Budget Overview with current month KPIs and latest transactions
[Vue warn]: Failed to resolve component: RouterLink
If this is a native custom element, make sure to exclude it from component resolution via compilerOptions.isCustomElement.
  at <BudgetOverviewPage ref="VTU_COMPONENT" >
  at <VTUROOT>

stderr | src/pages/BudgetPhase1.test.ts > Budget Phase 1 Vue UI > renders Budget Overview with current month KPIs and latest transactions
[Vue warn]: Failed to resolve component: RouterLink
If this is a native custom element, make sure to exclude it from component resolution via compilerOptions.isCustomElement.
  at <BudgetOverviewPage ref="VTU_COMPONENT" >
  at <VTUROOT>

 ✓ src/pages/VueCockpitV11.test.ts (6 tests) 889ms
stderr | src/pages/BudgetPhase1.test.ts > Budget Phase 1 Vue UI > renders transactions workflow and confirms via API after preview summary
[Vue warn]: injection "Symbol(route location)" not found.
  at <BudgetTransactionsPage ref="VTU_COMPONENT" >
  at <VTUROOT>

 ✓ src/pages/BudgetPhase1.test.ts (5 tests) 1597ms
     ✓ renders Budget Overview with current month KPIs and latest transactions  532ms
     ✓ renders transactions workflow and confirms via API after preview summary  653ms
stderr | src/pages/MobileUx.test.ts > Vue mobile UX v1 > uses mobile-safe layout shell padding and bottom nav space
[Vue warn]: injection "Symbol(route location)" not found.
  at <AppLayout ref="VTU_COMPONENT" >
  at <VTUROOT>

stderr | src/pages/BudgetAnalyticsDashboardV2.test.ts > Budget Analytics & Dashboard v2 > renders Budget Übersicht as monthly cockpit, not category status table
[Vue warn]: Failed to resolve component: RouterLink
If this is a native custom element, make sure to exclude it from component resolution via compilerOptions.isCustomElement.
  at <BudgetOverviewPage ref="VTU_COMPONENT" >
  at <VTUROOT>

 ✓ src/pages/BudgetPlanningPage.test.ts (3 tests) 513ms
stderr | src/pages/BudgetAnalyticsDashboardV2.test.ts > Budget Analytics & Dashboard v2 > renders Budget Übersicht as monthly cockpit, not category status table
[Vue warn]: Failed to resolve component: RouterLink
If this is a native custom element, make sure to exclude it from component resolution via compilerOptions.isCustomElement.
  at <BudgetOverviewPage ref="VTU_COMPONENT" >
  at <VTUROOT>

stderr | src/pages/MobileUx.test.ts > Vue mobile UX v1 > renders mobile expense cards and non-clickable coming-soon receipt hints
[Vue warn]: injection "Symbol(route location)" not found.
  at <BudgetTransactionsPage ref="VTU_COMPONENT" >
  at <VTUROOT>

stderr | src/pages/BudgetWorkflowHelpUx.test.ts > Budget Workflow Clarification & Help UX > renders effective expenses with Geldfluss columns and confirmed-only empty state text
[Vue warn]: injection "Symbol(route location)" not found.
  at <BudgetTransactionsPage ref="VTU_COMPONENT" >
  at <VTUROOT>

 ✓ src/pages/MobileUx.test.ts (5 tests) 1438ms
     ✓ renders mobile expense cards and non-clickable coming-soon receipt hints  707ms
 ✓ src/pages/BudgetAnalyticsDashboardV2.test.ts (3 tests) 1457ms
     ✓ renders Budget Übersicht as monthly cockpit, not category status table  827ms
     ✓ renders Budget vs Ist as analysis page with distinct charts and top deviations  423ms
stderr | src/pages/BudgetWorkflowHelpUx.test.ts > Budget Workflow Clarification & Help UX > renders effective expenses with Geldfluss columns and confirmed-only empty state text
[Vue warn]: injection "Symbol(route location)" not found.
  at <BudgetTransactionsPage ref="VTU_COMPONENT" >
  at <VTUROOT>

 ✓ src/pages/BudgetUxV2.test.ts (10 tests) 3581ms
     ✓ renders effective expenses as date-grouped confirmed transaction list with month controls and audit drawer  794ms
     ✓ shows review candidates without technical user-mode fields  630ms
     ✓ uses ConfirmDialog and success Toast for risky review confirm actions  737ms
     ✓ renders category analysis and links category drilldown to data explorer  437ms
 ✓ src/pages/GlobalPrimeVueMigration.test.ts (6 tests) 407ms
     ✓ provides reusable shared PrimeVue UI building blocks  398ms
stderr | src/pages/BudgetWorkflowHelpUx.test.ts > Budget Workflow Clarification & Help UX > central help text covers purpose actions exclusions and opens from app shell
[Vue warn]: injection "Symbol(route location)" not found.
  at <AppLayout ref="VTU_COMPONENT" >
  at <VTUROOT>

 ✓ src/pages/BudgetWorkflowHelpUx.test.ts (5 tests) 2538ms
     ✓ keeps effective expenses route in desktop, mobile bottom and fallback menu links  305ms
     ✓ renders effective expenses with Geldfluss columns and confirmed-only empty state text  1178ms
     ✓ renders transfer review explanations including True Wealth target and non-budget effect  689ms
 ✓ src/pages/ReadOnlySurfaces.test.ts (4 tests) 608ms
     ✓ Portfolio page auto-loads asset/platform overview and top positions  312ms
 ✓ src/pages/BudgetImportProductionV2.test.ts (4 tests) 2850ms
     ✓ shows source-aware review tabs and candidate type actions  1192ms
     ✓ marks a candidate as credit card payment through audited type action  569ms
     ✓ shows bulk toolbar state, applies category to selected candidates, and keeps partial feedback visible  558ms
     ✓ opens bulk confirm preview dialog and disables final confirm when blockers exist  530ms
 ✓ src/pages/BudgetCategoriesPage.test.ts (3 tests) 387ms
 ✓ src/pages/BudgetRecurringPage.test.ts (1 test) 220ms
 ✓ src/pages/GroceryMatchingLearningV2.test.ts (2 tests) 363ms
 ✓ src/pages/CommandCenter.test.ts (2 tests) 401ms
 ✓ src/components/SidebarNav.mobile.test.ts (3 tests) 407ms
 ✓ src/pages/GroceryPriceProvidersV1.test.ts (2 tests) 426ms
 ✓ src/api/client.test.ts (2 tests) 12ms
 ✓ src/pages/BudgetMonthlyImportPage.test.ts (1 test) 321ms
     ✓ renders dashboard, import history and review transition without auto booking  318ms
 ✓ src/pages/BudgetSetupPage.test.ts (1 test) 239ms
 ✓ src/pages/DataExplorerPage.test.ts (2 tests) 1504ms
     ✓ renders filters, KPI cards and confirmed transaction table  950ms
     ✓ opens a detail dialog on row click  551ms
 ✓ src/utils/formatters.test.ts (2 tests) 15ms
 ✓ src/pages/ReportsPage.test.ts (1 test) 168ms
stderr | src/App.test.ts > App > renders the user dashboard shell
[Vue Router warn]: No match found for location with path "/portfolio"
[Vue Router warn]: No match found for location with path "/crypto"
[Vue Router warn]: No match found for location with path "/equity"
[Vue Router warn]: No match found for location with path "/wallets"
[Vue Router warn]: No match found for location with path "/positions/add"
[Vue Router warn]: No match found for location with path "/reports"
[Vue Router warn]: No match found for location with path "/planning/budget"
[Vue Router warn]: No match found for location with path "/planning/budget/status"
[Vue Router warn]: No match found for location with path "/planning/budget/planning"
[Vue Router warn]: No match found for location with path "/planning/budget/fixed-costs"
[Vue Router warn]: No match found for location with path "/planning/budget/analysis/budget-vs-actual"
[Vue Router warn]: No match found for location with path "/planning/budget/monthly"
[Vue Router warn]: No match found for location with path "/planning/budget/yearly"
[Vue Router warn]: No match found for location with path "/planning/budget/plans"
[Vue Router warn]: No match found for location with path "/planning/budget/monthly-import"
[Vue Router warn]: No match found for location with path "/planning/budget/expenses/actual"
[Vue Router warn]: No match found for location with path "/planning/budget/income/actual"
[Vue Router warn]: No match found for location with path "/planning/budget/expenses/review"
[Vue Router warn]: No match found for location with path "/planning/budget/transfers"
[Vue Router warn]: No match found for location with path "/planning/budget/analysis/data-explorer"
[Vue Router warn]: No match found for location with path "/planning/budget/grocery-optimizer"
[Vue Router warn]: No match found for location with path "/planning/budget/analysis/categories"
[Vue Router warn]: No match found for location with path "/planning/budget/analysis/monthly"
[Vue Router warn]: No match found for location with path "/planning/budget/accounts"
[Vue Router warn]: No match found for location with path "/planning/budget/categories"
[Vue Router warn]: No match found for location with path "/planning/budget/setup"

 ✓ src/App.test.ts (1 test) 240ms
 ✓ src/utils/month.test.ts (1 test) 3ms

 Test Files  28 passed (28)
      Tests  92 passed (92)
   Start at  17:22:46
   Duration  11.04s (transform 6.71s, setup 6.40s, import 10.94s, tests 22.81s, environment 28.00s)

> jarvis-finance-dashboard-vue@0.0.0 build
> vue-tsc -b && vite build

vite v8.0.13 building client environment for production...

transforming...✓ 369 modules transformed.
rendering chunks...
computing gzip size...
dist/index.html                                        0.36 kB │ gzip:   0.27 kB
dist/assets/primeicons-C6QP2o4f.woff2                 35.14 kB
dist/assets/primeicons-MpK4pl85.ttf                   84.98 kB
dist/assets/primeicons-WjwUDZjB.woff                  85.05 kB
dist/assets/primeicons-DMOk5skT.eot                   85.15 kB
dist/assets/primeicons-Dr5RGzOO.svg                  342.52 kB │ gzip: 108.35 kB
dist/assets/BudgetStatusPage-BMZrR7-x.css              0.12 kB │ gzip:   0.12 kB
dist/assets/ReportsPage-CqBWvHJN.css                   0.21 kB │ gzip:   0.15 kB
dist/assets/BudgetAccountsPage-CvvWTfDA.css            0.25 kB │ gzip:   0.16 kB
dist/assets/BudgetRecurringPage-D6HtQ9Wm.css           0.43 kB │ gzip:   0.22 kB
dist/assets/BudgetMonthlyImportPage-Bfskf1qM.css       0.45 kB │ gzip:   0.23 kB
dist/assets/BudgetPlanningPage-C7R-DDrQ.css            0.46 kB │ gzip:   0.23 kB
dist/assets/BudgetCategoriesPage-DTdQz_j1.css          0.47 kB │ gzip:   0.23 kB
dist/assets/BudgetRulesPage-Cz-qBzD4.css               0.56 kB │ gzip:   0.23 kB
dist/assets/BudgetSetupPage-DnHS5HVt.css               0.64 kB │ gzip:   0.30 kB
dist/assets/BudgetGroceryOptimizerPage-D4YBBg2P.css    0.84 kB │ gzip:   0.32 kB
dist/assets/CommandCenter-SmpHf3r7.css                 0.85 kB │ gzip:   0.38 kB
dist/assets/index-CbmF89dl.css                        41.48 kB │ gzip:   9.53 kB
dist/assets/month-BBSPVD2y.js                          0.11 kB │ gzip:   0.12 kB
dist/assets/runtime-CzFtCkch.js                        0.14 kB │ gzip:   0.13 kB
dist/assets/portfolio-Dgw_YOLe.js                      0.23 kB │ gzip:   0.19 kB
dist/assets/MoneyValue-C8e2dIXt.js                     0.35 kB │ gzip:   0.27 kB
dist/assets/FilterToolbar-Bd_JcbRO.js                  0.41 kB │ gzip:   0.29 kB
dist/assets/formatters-7zuAcqgS.js                     0.42 kB │ gzip:   0.28 kB
dist/assets/crypto-C4kAkVm1.js                         0.56 kB │ gzip:   0.26 kB
dist/assets/equity-BDHol0KS.js                         0.62 kB │ gzip:   0.29 kB
dist/assets/positions-NIYamjIJ.js                      0.70 kB │ gzip:   0.28 kB
dist/assets/ChartPanel-CTKONkQ5.js                     0.71 kB │ gzip:   0.45 kB
dist/assets/SectionCard-C9ooVwdR.js                    0.72 kB │ gzip:   0.46 kB
dist/assets/RoadmapPage-BsPkcYv-.js                    0.76 kB │ gzip:   0.48 kB
dist/assets/client-CZ7t1qgF.js                         0.83 kB │ gzip:   0.45 kB
dist/assets/SummaryCard-BzDmBRVv.js                    0.99 kB │ gzip:   0.57 kB
dist/assets/LoadActionBar-x9cn4nhu.js                  1.02 kB │ gzip:   0.62 kB
dist/assets/DetailDrawer-3wBV8bNs.js                   1.14 kB │ gzip:   0.70 kB
dist/assets/auto-BsUVNjDh.js                           1.20 kB │ gzip:   0.59 kB
dist/assets/SparklineChart-D2dXDsbg.js                 1.20 kB │ gzip:   0.73 kB
dist/assets/PositionTable-CMCj4Y1q.js                  1.31 kB │ gzip:   0.73 kB
dist/assets/toolbar-CB6kOFGL.js                        1.36 kB │ gzip:   0.60 kB
dist/assets/AllocationBars-BxHOKXHC.js                 1.54 kB │ gzip:   0.82 kB
dist/assets/card-CzNxnvOi.js                           2.00 kB │ gzip:   0.68 kB
dist/assets/LocalDataStatus-DpYlY03e.js                2.13 kB │ gzip:   1.06 kB
dist/assets/BudgetAccountsPage-Cg89Vb5B.js             2.77 kB │ gzip:   1.20 kB
dist/assets/ReportsPage-CEM-JkaR.js                    3.07 kB │ gzip:   1.58 kB
dist/assets/chart-DX_RiHR7.js                          3.34 kB │ gzip:   1.44 kB
dist/assets/BudgetTransfersPage-DLMa1UBA.js            3.71 kB │ gzip:   1.66 kB
dist/assets/PortfolioPage-BivvYJDW.js                  4.12 kB │ gzip:   1.75 kB
dist/assets/CategoryAnalysisPage-yzxExr_S.js           5.36 kB │ gzip:   2.18 kB
dist/assets/MonthlyComparisonPage-CU_9cXtK.js          5.47 kB │ gzip:   2.10 kB
dist/assets/WalletsPage-CMCc7P-H.js                    5.81 kB │ gzip:   2.45 kB
dist/assets/BudgetMonthlyImportPage-CxQZ2Ml3.js        5.92 kB │ gzip:   2.33 kB
dist/assets/BudgetVsActualPage-DQkd57BV.js             6.77 kB │ gzip:   2.39 kB
dist/assets/BudgetOverviewPage-BEnkp4J_.js             6.88 kB │ gzip:   2.73 kB
dist/assets/CommandCenter-zQemAGia.js                  6.99 kB │ gzip:   2.63 kB
dist/assets/BudgetStatusPage-DBfbrVoc.js               7.13 kB │ gzip:   2.60 kB
dist/assets/budget-DTQukmBc.js                         7.39 kB │ gzip:   1.94 kB
dist/assets/BudgetSetupPage-bRQv3AXk.js                8.66 kB │ gzip:   2.92 kB
dist/assets/BudgetRecurringPage-C3EkAPD_.js            9.87 kB │ gzip:   3.13 kB
dist/assets/DataExplorerPage-WHc0Y_SO.js              10.35 kB │ gzip:   3.55 kB
dist/assets/BudgetRulesPage-COy0bw-o.js               10.99 kB │ gzip:   3.11 kB
dist/assets/BudgetCategoriesPage-DtU9Pw4N.js          12.46 kB │ gzip:   4.01 kB
dist/assets/message-CXUmKWEY.js                       14.69 kB │ gzip:   3.00 kB
dist/assets/BudgetPlanningPage-F8ujAQAL.js            16.59 kB │ gzip:   5.17 kB
dist/assets/CryptoPage-8R1GRE23.js                    17.51 kB │ gzip:   5.40 kB
dist/assets/BudgetGroceryOptimizerPage-31eMCFkC.js    18.85 kB │ gzip:   5.69 kB
dist/assets/BudgetTransactionsPage-Cl_G0Y23.js        19.90 kB │ gzip:   6.44 kB
dist/assets/EquityPage-Ctu5quo2.js                    20.35 kB │ gzip:   5.62 kB
dist/assets/PositionAddPage-Uzaw0BiZ.js               20.98 kB │ gzip:   5.89 kB
dist/assets/BudgetIncomePage-Y_RupWC4.js              32.64 kB │ gzip:   8.22 kB
dist/assets/BudgetImportReviewPage-CGvjvq66.js        40.31 kB │ gzip:  11.50 kB
dist/assets/tag-DZl4uNoC.js                           84.52 kB │ gzip:  20.08 kB
dist/assets/datatable-Dap1KQca.js                    305.76 kB │ gzip:  63.58 kB
dist/assets/index-B51eMY1p.js                        630.48 kB │ gzip: 177.02 kB

✓ built in 1.45s
[plugin builtin:vite-reporter]
(!) Some chunks are larger than 500 kB after minification. Consider:
- Using dynamic import() to code-split the application
- Use build.rolldownOptions.output.codeSplitting to improve chunking: https://rolldown.rs/reference/OutputOptions.codeSplitting
- Adjust chunk size limit for this warning via build.chunkSizeWarningLimit.


set -euo pipefail
cd /home/agent/.hermes/repos/FinanceManager
python - <<'PY'
from pathlib import Path
import subprocess, shutil
changed = [line.strip() for line in subprocess.check_output(['git','diff','--name-only']).decode().splitlines() if line.strip()]
changed += [line.strip()[3:] for line in subprocess.check_output(['git','status','--short']).decode().splitlines() if line.startswith('?? ')]
patterns = ['github_pat_', 'ghp_', 'OPENFIGI_API_KEY=', 'OPENFIGI_KEY=', 'api_key=', 'password=', 'Bearer ']
hits=[]
for s in sorted(set(changed)):
    p=Path(s)
    if not p.is_file() or 'frontend/dist/' in s: continue
    txt=p.read_text(errors='ignore')
    for pat in patterns:
        if pat.lower() in txt.lower(): hits.append((s, pat))
if hits:
    print('changed_file_secret_hits=', hits); raise SystemExit(1)
print('changed_files_secret_scan=OK')
PY
python - <<'PY'
from pathlib import Path
hits=[]
for p in Path('frontend/dist').rglob('*'):
    if p.is_file() and p.suffix in {'.js','.css','.html','.map'}:
        txt=p.read_text(errors='ignore')
        for pat in ['github_pat_', 'ghp_', 'OPENFIGI_API_KEY=', 'OPENFIGI_KEY=', 'api_key=', 'password=', 'Bearer ']:
            if pat.lower() in txt.lower(): hits.append((str(p), pat))
if hits:
    print('dist_secret_hits=', hits[:20]); raise SystemExit(1)
print('frontend_build_secret_scan=OK')
PY
python - <<'PY'
from pathlib import Path
import shutil
for p in Path('.').rglob('__pycache__'):
    shutil.rmtree(p, ignore_errors=True)
for p in [Path('.pytest_cache'), Path('frontend/.pytest_cache'), Path('frontend/dist'), Path('frontend/node_modules/.vite')]:
    shutil.rmtree(p, ignore_errors=True)
PY
if git status --short | grep -E '(^| )[AM?].*(finance\.sqlite3|jarvis_runtime|secrets/|\.env|\.csv|\.xlsx|\.pdf|frontend/dist/|reports/)'; then echo 'unsafe artifact in working tree'; exit 1; fi
git diff --check
printf 'git_safety_artifacts=OK\ngit_diff_check=OK\nstatus=\n'
git status --short --branch


Output:
changed_files_secret_scan=OK
frontend_build_secret_scan=OK
git_safety_artifacts=OK
git_diff_check=OK
status=
## main...origin/main
 M src/jarvis_finance/services/grocery_optimizer.py
 M tests/unit/test_grocery_matching_learning_v2.py


set -euo pipefail
cd /home/agent/.hermes/repos/FinanceManager
git add src/jarvis_finance/services/grocery_optimizer.py tests/unit/test_grocery_matching_learning_v2.py
git commit -m "fix: keep no-price grocery accepts reviewable"
unset GIT_ASKPASS
TOKEN_FILE="$HOME/jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv"
ASKPASS=$(mktemp)
python - "$TOKEN_FILE" "$ASKPASS" <<'PY'
import csv, os, stat, sys
from pathlib import Path
token=None
for row in csv.reader(Path(sys.argv[1]).read_text().splitlines()):
    for cell in row:
        cell=cell.strip()
        if cell.startswith(('github_pat_', 'ghp_')):
            token=cell; break
    if token: break
if not token: raise SystemExit('token not found')
Path(sys.argv[2]).write_text('#!/bin/sh\ncase "$1" in *Username*) printf %s x-access-token;; *Password*) printf %s "{}";; *) printf "";; esac\n'.format(token.replace('"','')))
os.chmod(sys.argv[2], stat.S_IRWXU)
PY
export GIT_ASKPASS="$ASKPASS" GIT_TERMINAL_PROMPT=0
git push origin main
local_head=$(git rev-parse HEAD)
remote_head=$(git ls-remote origin refs/heads/main | awk '{print $1}')
printf 'local_head=%s\nremote_head=%s\nhead_match=%s\n' "$local_head" "$remote_head" "$(test "$local_head" = "$remote_head" && echo yes || echo no)"
rm -f "$ASKPASS"


Output:
[main c855c77] fix: keep no-price grocery accepts reviewable
 2 files changed, 6 insertions(+), 1 deletion(-)
To https://github.com/Gamexgit/FinanceManager.git
   27aa030..c855c77  main -> main
local_head=c855c7772db6d8addb58d3b053304d680e58f0d7
remote_head=c855c7772db6d8addb58d3b053304d680e58f0d7
head_match=yes


Hotfix-Commit ist auf `main` gepusht und remote verifiziert. Ich starte final neu aus aktuellem `main` und mache Browser-Sanity: Route, Bon, Accept/Reject, Einkaufsliste, Report, keine JS-Fehler.

set -euo pipefail
cd /home/agent/.hermes/repos/FinanceManager
for port in 8000 5173; do
  pids=$(ss -ltnp 2>/dev/null | awk -v p=":$port" '$4 ~ p {print $0}' | sed -n 's/.*pid=\([0-9]*\).*/\1/p' | sort -u || true)
  if [ -n "$pids" ]; then kill $pids || true; fi
done
printf 'branch='; git branch --show-current; printf '\nhead='; git rev-parse HEAD; printf '\nstatus=\n'; git status --short --branch


Output:
branch=main

head=c855c7772db6d8addb58d3b053304d680e58f0d7

status=
## main...origin/main


Output: Background process started


Output: Background process started


Output:
backend_health=200
frontend_local=200
frontend_tailscale=200
grocery_api=200