[M G] Danke. Der Crypto Price Update MVP ist akzeptiert.

Die Umsetzung ist grundsätzlich sinnvoll:

* lokaler Preis-Cache
* kein Live-API-Call im Dashboard/Report
* 429-Handling
* Git-Safety sauber
* Tests grün
* Runtime-Daten außerhalb Git

Allerdings bist du vom vorher vereinbarten Ablauf abgewichen. Das ist in diesem Fall nicht schlimm, weil der Preisupdate-Block nützlich ist. Bitte jetzt aber wieder kontrolliert auf die nächsten Prioritäten einschwenken.

Aktueller Stand:

* Commit 3aa67d8 ist akzeptiert.
* Preisupdate funktioniert technisch.
* Aber nur 6 von 20 aktiven Crypto Assets hatten frische CHF-Preise.
* 14 Assets hatten Warnings/Stale/Provider-Limit-Themen.
* BTC-Test wurde noch nicht abgeschlossen.
* Equity/ETF Manage UI wurde noch nicht begonnen.

Bitte jetzt wie folgt weiterfahren:

## Teil 1: Crypto Price Update robuster machen

Bitte verbessere zuerst den Preisupdate-Mechanismus, bevor wir echte Reports mit Preisen ernsthaft nutzen.

Ziel:
Möglichst alle vorhandenen Crypto Assets mit CoinGecko-ID sollen lokale CHF-Preise erhalten, ohne Dashboard-Live-API und ohne Rate-Limit-Crash.

Bitte implementiere:

1. Batch-Abfrage prüfen/umsetzen

* Wenn CoinGecko mehrere IDs in einem Request unterstützt, bitte nutzen.
* Dadurch weniger API-Calls.
* Kein Abruf pro Coin, falls Batch möglich ist.

2. Konservatives Throttling

* Pause zwischen Requests
* konfigurierbar:

  * --sleep-seconds
  * --max-retries
  * --initial-backoff
  * --max-backoff

3. CLI-Optionen ergänzen
   Bitte vorbereiten/implementieren:

* --only-missing
* --only-stale
* --only-symbol SYMBOL
* --limit N
* --dry-run
* --currency CHF

4. Bessere Summary
   Bitte nach Update nur aggregiert ausgeben:

* total assets
* updated
* cached
* skipped
* stale
* warnings
* errors
* assets still missing local price
* keine echten Mengen/Werte

5. Data Quality

* Für Assets ohne frischen Preis Data-Quality-Alert erzeugen oder aktualisieren.
* Alert-Dedupe respektieren.
* Keine Alert-Flut.

6. Tests
   Bitte Tests ergänzen für:

* Batch-Request
* --only-missing
* --only-stale
* --only-symbol
* --limit
* --dry-run
* Rate-Limit mit Backoff
* Alert-Dedupe bei fehlenden Preisen

Danach bitte produktiv gegen Runtime-DB nochmals ausführen, aber vorsichtig und ohne echte Werte im Chat.

Bitte berichten:

* Anzahl Assets total
* Anzahl Assets mit frischem CHF-Preis
* Anzahl weiterhin ohne frischen Preis
* Anzahl Warnings/Errors
* keine Preise/Werte/Mengen ausgeben

## Teil 2: BTC-Test nachholen

Danach bitte den BTC-Test wie zuletzt entschieden nachholen:

Option A:
BTC mit allen BTC-Wallet-Holdings aus Excel importieren.

Bedingungen:

* Nur Bitcoin BTC
* Coin-Name: Bitcoin
* Symbol: BTC
* CoinGecko-ID: bitcoin
* Mapping-Status: selected
* Snapshot-Datum: 31.12.2025
* Alle BTC-Wallet-Holdings aus der echten Excel-Datei übernehmen
* Pro BTC-Wallet mit Bestand genau eine initial_snapshot_addition bzw. initial_snapshot-Holding erzeugen
* Mengen exakt als Decimal/Text übernehmen
* Keine Float-Konvertierung
* Keine echten Mengen/Werte im Chat
* Keine anderen Coins importieren
* Audit-Log Pflicht
* Keine doppelte Holding für asset_id + wallet_id
* Legacy-CHF-Werte ignorieren
* Git-Safety vor/nachher prüfen

Bericht nur aggregiert:

* BTC-Test durchgeführt: ja/nein
* Anzahl BTC-Wallet-Holdings importiert
* Asset-Anzahl erhöht: ja/nein
* Holding-Anzahl erhöht: ja/nein
* Audit-Logs erstellt: ja/nein
* Doppelte Holdings: ja/nein
* Fehler/Warnings
* Git-Safety Ergebnis
* Git Status

## Teil 3: Danach Equity/ETF Manage UI

Erst wenn Teil 1 und Teil 2 sauber sind, bitte mit der Equity/ETF Manage UI beginnen.

Ziel:
Aktien und ETFs aus PostFinance, True Wealth und Raiffeisen später im Dashboard erfassen, korrigieren und als Initial Snapshot übernehmen können — auditierbar und ohne stilles Überschreiben.

Grundlogik:

* Für Aktien/ETFs ist ISIN die primäre Identifikation.
* Ticker und Exchange sind Zusatzinformationen.
* Positionen werden über initial_position_snapshot, buy, sell, dividend, fee oder manual_adjustment abgebildet.
* Jede Änderung braucht
Audit-Log.
* Fremdwährungen USD/EUR brauchen FX-Kurs und CHF-Gegenwert.
* Keine Scheingenauigkeit, wenn Kaufhistorie, Gebühren oder historische FX fehlen.
* Erst mit synthetischen Daten und Dummy-Depots bauen.
* Keine echten PostFinance-/TrueWealth-/Raiffeisen-Daten importieren.

Bitte vormerken für die Equity/ETF Manage UI:

* Aktie/ETF als Initial Snapshot hinzufügen
* Buy
* Partial Sell
* Full Sell
* Dividend
* ETF Distribution
* Fee
* Manual Adjustment
* ISIN Pflicht oder stark empfohlen
* ISIN/Ticker dürfen nicht beide leer sein
* Währung Pflicht
* Depot/Konto Pflicht
* FX bei Fremdwährung
* Audit-Log Pflicht
* Notiz Pflicht bei manual_adjustment oder unvollständiger Historie

## Weitere Funktionsmodule bitte vormerken, aber noch nicht bauen

Bitte für später als Backlog vormerken:

1. Portfolio Health Seite

* Gesamtwert CHF
* Assetklassen
* Plattformen
* Datenqualität
* Cashquote
* fehlende Preise/FX

2. Reconciliation / Abgleich-Seite

* Dashboard-Bestand vs. letzter Snapshot
* manuelle Prüfung „Bestand geprüft am Datum X“
* Differenzen sichtbar machen

3. Data Quality Center

* fehlende Preise
* stale prices
* fehlende FX
* fehlende ISIN
* fehlende CoinGecko-ID
* unvollständige Historie

4. Manual Review Queue

* ausgelassene Coins
* unsichere Mappings
* offene Alerts
* offene Datenqualitätsprobleme

5. Backup / Restore

* Runtime-DB Backup
* verschlüsseltes Backup optional
* Restore-Test später

6. Safe Mode / Read-only Mode

* Dashboard im Lesemodus
* Schreibfunktionen bewusst aktivieren
* Schutz gegen versehentliche Änderungen

Bitte jetzt zuerst Teil 1 umsetzen, dann Teil 2, dann Teil 3. Keine echten Aktien-/ETF-Daten importieren.


Explanation:
**Inspecting repository for finance skills**

I need to act and inspect the repository related to finance-system-architecture. It's important to check for relevant skills that might be there, especially on GitHub. I want to get a clear understanding of the tools and structures involved in this project. Loading the repository should help me gather the details I need. Let's figure this out!


[skill_view] name=finance-system-architecture (21,972 chars)


[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:
Summary generation was unavailable. 144 message(s) were removed to free context space but could not be summarized. The removed messages contained earlier work in this session. Continue based on the recent messages below and the current state of any files or resources.

--- END OF CONTEXT SUMMARY — respond to the message below, not the summary above ---


terminal

PYTHONPATH=src python - <<'PY'
from collections import Counter
from jarvis_finance.config.settings import load_settings
from jarvis_finance.storage.database import connect
from jarvis_finance.storage....[truncated]

Explanation:
**Reviewing template candidates**

I’m looking at template candidates and noticing we have 59, which seems odd since we only deleted three from the first limit by instrument_id. Wait, is it possible there are actually 57 active candidates? I need to query all to check that. It might be I’m dealing with selected or rejected old ones. I should clean all unselected candidates for True Wealth before the rerun. And I should also check the counts by review status for clarity.


Output:
{'needs_manual_review': 59}
59


PYTHONPATH=src python - <<'PY'
from jarvis_finance.config.settings import load_settings
from jarvis_finance.storage.database import connect
from jarvis_finance.storage.migrations import apply_migratio...[truncated]

Explanation:
**Cleaning up instrument data**

I’m trying to figure out why there are 57 generated items but 59 total when including instruments that weren't in the initial count. It's possible there are more than 3 True Wealth instances. The user mentioned importing 3 TWs, so I wonder if the IDs for those three are all valid, but sorting might be an issue. It looks like I need to clean up the candidates for all imported snapshots and run the process again.


[terminal] ran `PYTHONPATH=src python - <<'PY'
from jarvis_finance.config.settings import loa...` -> exit 0, 1 lines output


[terminal] ran `PYTHONPATH=src python - <<'PY'
from collections import Counter
from jarvis_fi...` -> exit 0, 1 lines output


todo

Vorprüfung missing_provider_symbol=6 aggregiert analysieren

Public Lookup Candidate Generator + Runtime Template implementieren

Dashboard Review UI/Data Quality Center für Kandidaten prüfen/erweitern

Tests für Mock Public Lookup, DQ und Template ergänzen

Produktiven vorsichtigen Runtime-Lauf aggregiert ausführen

Compile, pytest, Git-Safety, Commit und Push


[todo] updated task list


terminal

PYTHONPATH=src python -m compileall -q src tests && PYTHONPATH=src pytest -q


[terminal] ran `PYTHONPATH=src python -m compileall -q src tests && PYTHONPATH=src pytest -q` -> exit 0, 1 lines output


Explanation:
**Ensuring cache safety**

I need to handle my cache in Git carefully to maintain safety. It's important to clean it up, as unnecessary files could cause confusion or errors. I'm considering what the best method is for this task. I should look into the recommended practices for cleaning up the cache effectively without losing any important data. It's crucial to follow the right steps to make sure everything remains intact and secure in my repository!


[terminal] ran `git status --short && git diff --stat` -> exit 0, 1 lines output


rm -rf .pytest_cache && find . -type d -name __pycache__ -prune -exec rm -rf {} + && PYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan . && git status --short


[terminal] ran `rm -rf .pytest_cache && find . -type d -name __pycache__ -prune -exec rm -rf ...` -> exit 0, 1 lines output


git diff -- src/jarvis_finance/market_data/candidates.py src/jarvis_finance/cli/main.py | sed -n '1,260p'


[terminal] ran `git diff -- src/jarvis_finance/market_data/candidates.py src/jarvis_finance/c...` -> exit 0, 1 lines output


git add src/jarvis_finance/cli/main.py src/jarvis_finance/dashboard/data.py src/jarvis_finance/dashboard/pages/page_13_equity_manage.py src/jarvis_finance/market_data/candidates.py src/jarvis_finance/storage/migrations.py tests/unit/test_schema.py tests/unit/test_true_wealth_mapping_candidates_c3.py && git commit -m "Add assisted public instrument lookup candidates"

Explanation:
**Considering terminal commands**

I noticed that I used `sed` even though the instructions said not to. I’m wondering if I need to avoid that for future edits. It seems I might have run into issues with line length in the command line interface. I know I need to commit my changes, but I should probably double-check everything’s safe before doing that. I also need to make sure to add my files first before committing.


Output:
[main 8e6e8f7] Add assisted public instrument lookup candidates
 7 files changed, 334 insertions(+), 18 deletions(-)


python - <<'PY'
import csv, subprocess, sys
from pathlib import Path
p=Path.home()/'jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv'
rows=list(csv.reader(p.read_text().splitlines...[truncated]


Output:
To https://github.com/Gamexgit/FinanceManager.git
   61709aa..8e6e8f7  HEAD -> main


git status --short && git log -1 --oneline

PYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .

Explanation:
**Checking git status and safety**

I need to do a final verification on the git status. It's important to ensure everything is safe before I compile after committing. I think it's a good idea to run tests before committing, too. I'll make sure to check the safety, status, and logs to confirm everything is in order. This step is crucial to avoid issues down the line. I want to make sure I get it right!


Output: 8e6e8f7 Add assisted public instrument lookup candidates


Explanation:
**Checking Git status**

My last Git status output shows there's nothing to do—it's clean! I guess that means I don't have any changes to commit or push at the moment. I'll need to remember to mark my to-do items as complete since they’re all done. It's always nice to have a tidy workspace, but I wonder if there's anything else I should be doing to manage my projects effectively!


Sir, Phase **C3c — Assisted Public Instrument Lookup & Mapping Candidate Fill** ist abgeschlossen, committed und gepusht.

## Ergebnis

- **Commit:** `8e6e8f7` — `Add assisted public instrument lookup candidates`
- **Push:** erfolgreich nach `origin/main`
- **Compile:** OK
- **Tests:** `205 passed`
- **Git-Safety:** `GIT_SAFETY_OK`
- **Git Status:** clean
- **Runtime-Backup vor produktivem Lauf:** erstellt
- **Keine Preise abgerufen**
- **Keine FX-Werte gesetzt**
- **Keine Portfolio-Imports**
- **Keine finalen Mappings automatisch bestätigt**
- **Keine echten Mengen, Werte, Kontostände oder Preise im Chat**

## 1. Vorprüfung `missing_provider_symbol = 6`

Ergebnis der Vorprüfung:

- `missing_provider_symbol` aktiv vor Bereinigung: `6`
- Entity-Type: ausschließlich `instrument`
- Doppelte Entity-Gruppen: `3`

Interpretation:

- Es waren **keine fachlich unterschiedlichen Entity-Typen**.
- Es waren **doppelte aktive Alerts pro Instrument**.
- Ursache: wiederholte Mapping-/Catalog-Läufe mit teils unterschiedlichem Fingerprint-Kontext.
- Bereinigung wurde implementiert und produktiv ausgeführt.

Nach Bereinigung:

- aktive `missing_provider_symbol`: `3`
- entspricht: ein aktiver Alert pro True-Wealth-Instrument
- keine Alert-Flut mehr

Zusätzlich wurde die Dedupe-Logik auch für mapping-nahe Alerts gehärtet, damit `ambiguous_provider_mapping` und `provider_lookup_unavailable` ebenfalls nicht mehrfach aktiv pro Instrument stehen bleiben. Sehr zivilisiert. Fast untypisch für Data Quality.

## 2. Implementierte Module

Neu/erweitert:

- **Public Lookup Candidate Generator**
  - OpenFIGI ISIN-Mapping Provider
  - Yahoo Search Fallback
  - Composite Provider
  - Provider-Ausfall ohne Crash
  - nur öffentliche Instrumentdaten
  - keine Preise
  - keine FX
  - keine Portfolio-Daten an externe Dienste

- **Candidate Storage erweitert**
  - `candidate_asset_class`
  - `candidate_hedge_status`
  - `candidate_valuation_policy`
  - `candidate_instrument_status`
  - Evidence Source / Note
  - Review Status

- **Mapping Candidate Rules**
  - ISIN-Match stärker als Name/Ticker
  - Name-only bleibt low confidence
  - Ticker ohne Exchange bleibt review-pflichtig
  - mehrere Kandidaten → `needs_manual_review`
  - kein Kandidat → `missing_provider_symbol` bleibt aktiv
  - Kandidaten lösen `missing_provider_symbol` nicht automatisch
  - finale Auswahl bleibt manuell und auditierbar

- **CLI erweitert**
  - `generate-mapping-candidates --public-lookup`
  - `--export-template`
  - `--template-path`
  - `--dedupe-missing-provider-alerts`

- **Runtime-only Mapping Review Template**
  - Export nur unter Runtime-Verzeichnis
  - zusätzliche Kandidatenfelder enthalten
  - keine Git-Ablage

- **Dashboard Review UI erweitert**
  - Kandidatenliste rendert ohne Live-API
  - Provider
  - Provider-Symbol
  - Exchange
  - Handelswährung
  - Hedge-Status
  - Hedged-to Currency
  - Instrument-Status
  - Valuation Policy
  - Evidence Source / Note
  - Confidence
  - Review Status
  - Button: Kandidat bestätigen
  - Button: Kandidat ablehnen
  - manuelle Erfassung bleibt über Instrument Search / Add Position möglich
  - Bestätigung/Ablehnung schreibt Audit-Log
  - keine Portfolio-Transaktion wird durch Review geändert

- **Data Quality Center erweitert**
  - unbestätigte Mapping-Kandidaten
  - Instrumente mit mehreren Mapping-Kandidaten
  - `missing_provider_symbol`
  - `provider_lookup_unavailable`
  - `ambiguous_provider_mapping`
  - `hedge_status_unknown`
  - `instrument_status_unknown`
  - `valuation_not_ready`
  - `manual_review_needed`

## 3. Neue/geänderte Dateien

Geändert:

- `src/jarvis_finance/cli/main.py`
- `src/jarvis_finance/dashboard/data.py`
- `src/jarvis_finance/dashboard/pages/page_13_equity_manage.py`
- `src/jarvis_finance/market_data/candidates.py`
- `src/jarvis_finance/storage/migrations.py`
- `tests/unit/test_schema.py`
- `tests/unit/test_true_wealth_mapping_candidates_c3.py`

Keine echten Dateien, Exporte, DBs oder Runtime-Daten wurden ins Git aufgenommen.

## 4. Tests ergänzt

Abgedeckt:

- Public Lookup mit Mock Provider erzeugt Kandidaten
- ISIN-Match erzeugt high-confidence Kandidat
- mehrere Kandidaten erzeugen `needs_manual_review`
- kein Kandidat lässt `missing_provider_symbol` aktiv
- Provider-Lookup-Ausfall crasht nicht
- Kandidaten werden Runtime-intern gespeichert
- keine finale automatische Auswahl
- Mapping Template enthält Kandidatenfelder
- Dashboard Review UI rendert Kandidaten ohne Live-API
- Data Quality Center zeigt Kandidaten-/Review-Bedarf
- `missing_provider_symbol` wird nicht resolved, solange Kandidat nicht bestätigt ist
- Alert-Dedupe pro Instrument
- Git-Safety OK

## 5. Produktiver vorsichtiger Runtime-Lauf

Ausgeführt gegen Runtime-DB:

- öffentliche Lookup-Kandidaten für die 3 True-Wealth-Instrumente gesucht
- Kandidaten gespeichert
- Mapping Review Pack aktualisiert
- Runtime-only Template aktualisiert
- Alerts dedupliziert
- keine finale Auswahl
- keine Preise
- keine FX-Werte
- keine weiteren Imports

Aggregierter Stand:

- Instrumente total: `3`
- Provider-Lookups versucht: `3`
- Kandidaten gefunden: `57`
- Confidence high: `36`
- Confidence medium: `18`
- Confidence low: `3`
- Instrumente ohne Kandidat: `0`
- Instrumente mit mehreren Kandidaten: `3`
- Review Status: alle `needs_manual_review`
- Hedge-Status weiterhin unknown: `3`
- Instrument-Status weiterhin unknown: `3`
- Provider-Lookup-Unavailable Count: `0`

Wichtig: Trotz vieler Kandidaten wurde **nichts final bestätigt**. Alle 3 Instrumente bleiben manuell review-pflichtig.

## 6. Runtime Mapping Template

- Template aktualisiert: ja
- Anzahl Instrumente: `3`
- Anzahl Kandidaten: `57`
- Speicherort: Runtime-Export-Verzeichnis
- Git-Ablage: nein

Enthaltene neue Felder:

- `candidate_provider`
- `candidate_provider_symbol`
- `candidate_exchange`
- `candidate_currency`
- `confidence`
- `hedge_status_candidate`
- `instrument_status_candidate`
- `evidence_source`
- `reviewer_decision`
- `reviewer_note`

## 7. Data-Quality-Status aggregiert

Aktive Alerts nach Bereinigung:

- `ambiguous_provider_mapping`: `3`
- `cost_basis_uncertain`: `3`
- `hedge_status_unknown`: `3`
- `instrument_status_unknown`: `3`
- `manual_review_needed`: `3`
- `missing_fx`: `3`
- `missing_market_price`: `3`
- `missing_provider_symbol`: `3`
- `snapshot_only`: `3`

Interpretation:

- Kandidaten sind vorhanden, aber nicht bestätigt.
- Deshalb bleibt `missing_provider_symbol` korrekt aktiv.
- Zusätzlich zeigt `ambiguous_provider_mapping`, dass manuelle Auswahl nötig ist.
- `hedge_status_unknown` und `instrument_status_unknown` bleiben ebenfalls korrekt aktiv.
- Valuation bleibt nicht ready.

## 8. Abschlussprüfung

- Compile: OK
- pytest: `205 passed`
- Git-Safety: `GIT_SAFETY_OK`
- Git Status: clean
- Commit: `8e6e8f7`
- Push: erfolgreich

## Konkrete nächste Empfehlung

Als nächstes im Dashboard:

1. **Equity/ETF Manage → Mapping Candidate Review** öffnen.
2. Pro True-Wealth-Instrument Kandidatenliste prüfen.
3. Pro Instrument genau einen Kandidaten manuell bestätigen — nur wenn Exchange, Handelswährung und Provider-Symbol plausibel sind.
4. Kandidaten mit falscher Börse/Währung ablehnen.
5. Hedge-Status und Instrument-Status nicht raten; nur bestätigen, wenn Evidence eindeutig ist.
6. Danach erst:
   - `missing_provider_symbol` auflösen
   - `ambiguous_provider_mapping` auflösen
   - optional Market-Price Dry Run gegen bestätigte Mappings

Noch nicht empfehlenswert:

- Equity/ETF Preisabruf produktiv
- FX-Setzung
- Performance-/P&L-Auswertung
- Rebalancing, Scores, Heatmaps, Monte Carlo oder sonstige Kaffeesatz-Orakel mit UI.


[M G] Sehr gut. Phase C3c ist akzeptiert.

Der Stand ist sauber:

* Commit 8e6e8f7 gepusht
* Tests: 205 passed
* Git-Safety: OK
* 3 True-Wealth-Instrumente geprüft
* 57 Mapping-Kandidaten gefunden
* keine finale Mapping-Auswahl
* keine Preise abgerufen
* keine FX-Werte gesetzt
* keine weiteren Imports
* keine echten Mengen/Werte/Kontostände im Chat

Das Ergebnis ist korrekt: Kandidaten wurden gefunden, aber nicht automatisch bestätigt.

Bitte jetzt noch keine Preise abrufen, keine FX-Werte setzen und keine weiteren Portfolio-Imports durchführen.

Der nächste Schritt ist:

# Phase C3d — Candidate Ranking, Mapping UX und User Decision Pack

Ziel:
Die 57 Mapping-Kandidaten sollen für die 3 True-Wealth-Instrumente so aufbereitet werden, dass ich im Dashboard den richtigen Kandidaten einfach und sicher auswählen kann.

Wichtig:

* Keine automatische finale Auswahl.
* Keine Preise abrufen.
* Keine FX-Werte setzen.
* Keine weiteren Imports.
* Keine echten Mengen/Werte/Kontostände im Chat.
* Keine echten Dateien ins Git.
* Dashboard liest nur lokale Runtime-Daten.

## 1. Candidate Ranking verbessern

Bitte implementiere ein Scoring für Mapping-Kandidaten.

Vorschlag für Ranking-Kriterien:

* exakter ISIN-Match: sehr hoch gewichten
* Assetklasse passt: ETF vs. Aktie
* Handelswährung passt zur Quelle
* Exchange passt oder ist plausibel
* Provider-Symbol vorhanden
* Name/Fondsname passt fuzzy, aber Name allein reicht nicht
* Hedge-Hinweis passt, z.B. CHF hedged / hedged CHF
* Instrument-Status aktiv
* Datenquelle vertrauenswürdig
* Kandidat hat vollständige Felder: Provider, Symbol, Exchange, Währung

Negative Faktoren:

* falsche Währung
* falsche Assetklasse
* kein ISIN-Match
* nur Name-Match
* Ticker ohne Exchange
* unklarer Hedge-Status
* unklarer Instrument-Status
* mehrere Listings ohne eindeutige Börse/Währung

Bitte berechne pro Kandidat:

* ranking_score
* ranking_reason
* risk_flags
* recommended_action:

  * select_candidate
  * needs_manual_review
  * reject_candidate
  * insufficient_data

Regel:
Auch ein Top-Kandidat wird nicht automatisch final bestätigt.

## 2. Spezielles Problem: gleiche ISIN / gleicher Ticker / verschiedene Währungen

Bitte explizit berücksichtigen:

Ein Instrument kann mit gleicher ISIN und gleichem Symbol mehrere Listings haben, z.B. CHF-Listing und USD-Listing.

Das Dashboard muss daher zeigen:

* Symbol
* Name
* ISIN
* Exchange
* Handelswährung
* Provider
* Provider-Symbol
* Closing Currency / Price Currency, falls verfügbar
* Hedge-Status
* Confidence / Ranking Score

Regel:
Wenn mehrere Listings existieren, darf das System nicht automatisch wählen. Ich muss den richtigen Handelsplatz beziehungsweise die passende Währung bestätigen.

## 3. Candidate Review UI verbessern

Bitte erweitere die Mapping Candidate Review UI:

Pro Instrument:

* Top-Kandidaten zuerst anzeigen
* Kandidaten nach Score sortieren
* Filter:

  * Provider
  * Exchange
  * Währung
  * Confidence
  * Hedge-Status
* Markierung:

  * wahrscheinlich passend
  * unsicher
  * wahrscheinlich falsch
* Begründung anzeigen:

  * ISIN passt
  * Währung passt
  * Exchange passt
  * Hedge unklar
  * mehrere Kandidaten vorhanden
  * Ticker ohne Exchange
* Button:

  * Kandidat auswählen
  * Kandidat ablehnen
  * manuell erfassen
  * später prüfen

Bestätigung muss Audit-Log schreiben.

## 4. User Decision Pack

Bitte erstelle zusätzlich ein Runtime-only Decision Pack für diese 3 Instrumente.

Zweck:
Falls ich das Dashboard nicht sofort öffnen kann, soll es eine sichere Übersicht im Runtime-Export geben, die ich später prüfen kann.

Format:

* Markdown oder CSV
* nur Runtime-Export
* niemals Git

Inhalt:

* pro Instrument Anzahl Kandidaten
* Top 3–5 Kandidaten
* Provider
* Provider-Symbol
* Exchange
* Währung
* Hedge-Status
* Instrument-Status
* Confidence
* Ranking Reason
* Reviewer Decision leer
* Reviewer Note leer

Wichtig:

* keine Mengen
* keine Depotwerte
* keine Kaufpreise
* keine Kontostände
* keine Portfolioanteile

Im Chat nur aggregiert berichten:

* Decision Pack erzeugt: ja/nein
* Instrumente: 3
* Kandidaten total
*
Top-Kandid
aten pro Instrument vorhanden: ja/nein

## 5. Data Quality Center erweitern

Bitte Data Quality Center ergänzen:

* ambiguous_provider_mapping
* multiple_listings_same_isin
* currency_mismatch
* hedge_status_unknown
* instrument_status_unknown
* provider_symbol_missing
* candidate_review_required
* valuation_not_ready

Wenn Kandidaten vorhanden, aber nicht bestätigt:

* missing_provider_symbol bleibt aktiv
* candidate_review_required aktiv
* keine automatische Resolution

## 6. Mapping Confirmation Workflow

Bitte sicherstellen:

Wenn ich später einen Kandidaten bestätige:

* instrument_price_mappings wird gesetzt
* instrument_catalog_entry wird aktualisiert
* provider_symbol wird gesetzt
* exchange wird gesetzt
* price_currency wird gesetzt
* Hedge-Status kann bestätigt werden
* Instrument-Status kann bestätigt werden
* Valuation Policy wird gesetzt
* Audit-Log wird geschrieben
* missing_provider_symbol wird resolved
* ambiguous_provider_mapping wird resolved
* candidate_review_required wird resolved
* falls Hedge/Status weiterhin unknown bleiben, bleiben entsprechende Warnungen aktiv

Keine Portfolio-Transaktion wird dadurch verändert.

## 7. Personal Finance / Budgeting Backlog vormerken

Bitte ergänze das Backlog um einen späteren separaten Modulbereich:

# Personal Finance / Cashflow / Budgeting Module

Noch nicht implementieren, nur sauber vormerken.

Ziel:
Später soll das Finance Dashboard nicht nur Anlagen verwalten, sondern auch Einkommen, Ausgaben, Budget, Belege und persönlichen Cashflow.

Geplante Funktionen:

## A. Income / Lohn

* Lohnzahlungen erfassen
* weitere Einkommen erfassen
* monatliches Nettoeinkommen
* wiederkehrende Einnahmen
* Jahresübersicht
* Zusammenhang mit Sparrate / Investitionsbetrag

## B. Expense Tracking

* Kreditkarten-CSV-Import
* Banktransaktions-CSV-Import
* manuelle Ausgaben
* Händler/Merchant-Erkennung
* Kategorie-Erkennung
* wiederkehrende Ausgaben
* Abos / Subscriptions
* Ausgaben nach Monat, Händler, Kategorie

## C. Budgeting

* Monatsbudget
* Kategorienbudget
* Fixkosten vs. variable Kosten
* Food / Grocery Budget
* Sparziel
* Budget-Ist-Vergleich
* Warnungen bei Budgetüberschreitung

## D. Belegimport

* Migros-/Coop-/andere Einkaufsbelege als PDF/CSV
* spätere OCR/PDF-Extraktion, falls nötig
* Positionen oder Kategorien aus Belegen
* Lebensmittelkosten getrennt auswerten
* Händlernormalisierung
* keine Belege ins Git

## E. Categorization Engine

* regelbasierte Kategorisierung
* Merchant Mapping
* manuelle Review Queue
* Kategorie-Vorschläge
* Keine LLM-Pflicht
* Local LLM später optional für Beleg-/Textklassifikation

## F. Cashflow Dashboard

* Einnahmen
* Ausgaben
* Monatsüberschuss
* Sparrate
* investierbarer Betrag
* Liquidität
* Vergleich Budget vs. Ist
* Verbindung zum Portfolio:

  * Wie viel Cash kann investiert werden?
  * Notgroschen / Health Reserve
  * monatlicher Investment-Plan

## G. Sicherheit

* Zahlungsdaten und Belege sind vertraulich
* echte CSV/PDF/Belege nur Runtime
* keine echten Finanzdaten ins Git
* Import-Dry-Run
* Audit
* Data Quality
* manuelle Bestätigung vor Commit

Wichtig:
Dieses Personal-Finance-Modul wird erst später gebaut. Aktuell bleibt der Fokus auf Investment Portfolio MVP.

## 8. Tests

Bitte Tests ergänzen für:

* Candidate Ranking nach ISIN/Währung/Exchange
* gleiche ISIN mit mehreren Listings bleibt review-pflichtig
* Top-Kandidaten werden sortiert
* Ranking Reason wird erzeugt
* Candidate Review UI rendert sortierte Kandidaten ohne Live-API
* Decision Pack wird nur Runtime erzeugt
* Decision Pack enthält keine Mengen/Werte
* Kandidat bestätigen schreibt Audit
* Bestätigung resolved passende Mapping Alerts
* Kandidat ablehnen schreibt Audit
* Missing Provider Symbol bleibt aktiv, solange kein Kandidat bestätigt ist
* Personal-Finance-Backlog-Dokument existiert, aber keine Implementierung
* Git-Safety OK

## 9. Produktiver vorsichtiger Runtime-Lauf

Bitte gegen Runtime-DB ausführen:

* Ranking für vorhandene 57 Kandidaten berechnen
* Top-Kandidaten pro Instrument bestimmen
* Decision Pack Runtime-only erzeugen
* keine finale Ausw
ahl
* keine Preise
* keine FX
* keine weiteren Imports

Bericht nur aggregiert:

* Instrumente total
* Kandidaten total
* Top-Kandidaten pro Instrument vorhanden
* Kandidaten mit high/medium/low Ranking
* multiple_listings_same_isin Count
* currency_mismatch Count
* hedge_status_unknown Count
* instrument_status_unknown Count
* Decision Pack erzeugt
* keine Preise/Werte/Mengen/Kontostände

## 10. Nach Abschluss

Bitte ausführen:

* Compile
* pytest
* Git-Safety
* Git Status

Wenn Code geändert wurde:

* Commit
* Push

Bitte berichten:

* implementierte Module
* neue/geänderte Dateien
* Tests
* Testergebnis
* Git-Safety
* Commit Hash
* Push Status
* Candidate Ranking aggregiert
* Decision Pack Status
* Data-Quality-Status aggregiert
* Backlog-Erweiterung Personal Finance vorhanden
* nächste Empfehlung

Keine echten Mengen, Preise, Werte, Kontostände oder sensitiven Inhalte im Chat.


Explanation:
**Loading finance skill**

I need to act and decide whether to load the finance skill now. It seems like it's time for a new turn where I should scan for finance-related information. I must inspect the current status and ensure I have everything I need ready to go. I’ll need to keep track of this as part of my to-do list to make sure I don’t miss anything important!


[skill_view] name=finance-system-architecture (36,954 chars)


todo

Vorprüfung Repo/Runtime und Schema für Candidate Ranking

Candidate Ranking/Decision Pack/Data Quality implementieren

Dashboard Mapping Review UX erweitern

Personal-Finance Backlog-Dokument runtime/code-sicher vormerken

Tests ergänzen und ausführen

Compile, Git-Safety, Commit und Push


[todo] updated task list


terminal

git status --short && git log -1 --oneline && PYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .


Output:
8e6e8f7 Add assisted public instrument lookup candidates
GIT_SAFETY_OK


[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py from line 1 (29,198 chars)


[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_13_equity_manage.py from line 1 (21,137 chars)


[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py from line 250 (19,752 chars)


Explanation:
**Reviewing schema migrations**

I need to look into implementing schema migration by adding ranking fields. To do this effectively, I should first inspect the current migrations. This will help me understand what’s already in place and ensure I’m making the right modifications. I want to be thorough so that everything aligns smoothly. Let’s get started on this inspection!


[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py from line 1 (13,446 chars)


[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py from line 300 (8,591 chars)


Explanation:
**Considering edits and mapping**

I need to make substantial edits, and I'm thinking a Python script could help with that. It seems essential to confirm that the mapping resolves correctly. I’m curious about how best to approach this task and how the script will improve the editing process. Breaking it down into manageable steps might make it easier to tackle. It's like piecing together a puzzle! Let's see how to get this right.


[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/mappings.py from line 1 (9,998 chars)


Explanation:
**Resolving candidate review**

I need to resolve the candidate review requirement and then add this to the selection process. The user asked for an update on the instrument catalog entry. I might need to confirm any updates instead of updating the catalog itself. However, the current candidate selection could be sufficient. I’ll implement an "upsert" for the catalog entry based on the candidate, and I plan to inspect the catalog function as well.


[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/catalog.py from line 1 (16,418 chars)


Explanation:
**Implementing code updates**

I'm thinking about how to implement this code script. I need to rewrite `candidates.py` by adding helpers using a patch. I also want to create alerts and define the necessary table columns. My plan is to use Python to insert new functions after `_confidence`, while also modifying the upsert SQL, and handling export and select processes. There's definitely a lot to keep track of, but I'm sure I can manage it!

patch

MIGRATION_VERSION = 13
MIGRATION_NAME = "013_public_instrument_lookup_candidates"

MIGRATION_VERSION = 14
MIGRATION_NAME = "014_candidate_ranking_decision_pack"


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py (866 chars result)


            candidate_valuation_policy TEXT NOT NULL DEFAULT 'live_price',
            ranking_score INTEGER NOT NULL DEFAULT 0,
            ranking_reason TEXT,
            risk_flags TEXT,
         ...[truncated]

            candidate_valuation_policy TEXT NOT NULL DEFAULT 'live_price',
            confidence TEXT NOT NULL DEFAULT 'low',


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py (920 chars result)


        "candidate_asset_class": "TEXT",
        "candidate_hedge_status": "TEXT NOT NULL DEFAULT 'unknown'",
        "candidate_valuation_policy": "TEXT NOT NULL DEFAULT 'live_price'",
        "ranki...[truncated]


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py (1,087 chars result)


    conn.execute("CREATE INDEX IF NOT EXISTS idx_ipmc_confidence ON instrument_price_mapping_candidates(confidence)")
        CREATE INDEX IF NOT EXISTS idx_ipmc_ranking_score ON instrument_price_mapping_candidates(ranking_score);


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py (1,060 chars result)


        CREATE INDEX IF NOT EXISTS idx_ipmc_confidence ON instrument_price_mapping_candidates(confidence);
        CREATE INDEX IF NOT EXISTS idx_ipmc_ranking_score ON instrument_price_mapping_candida...[truncated]

    conn.execute("CREATE INDEX IF NOT EXISTS idx_ipmc_confidence ON instrument_price_mapping_candidates(confidence)")
        CREATE INDEX IF NOT EXISTS idx_ipmc_ranking_score ON instrument_price_mapp...[truncated]


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py (984 chars result)


Explanation:
**Considering candidates for import**

I'm thinking about which candidates to use for importing. Should I bring in `re` and `Sequence`? It seems like I could just use `json` since it's already available. Maybe I should also consider using `difflib.SequenceMatcher` for some functionality. I'll need to clarify what I really want to achieve with these imports before deciding, so it's good to weigh my options!

import os
import re
import urllib.parse
import urllib.request
from dataclasses import dataclass, field
from difflib import SequenceMatcher

import os
import urllib.parse
import urllib.request
from dataclasses import dataclass, field


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py (650 chars result)


@dataclass(frozen=True)
class CandidateRanking:
    ranking_score: int
    ranking_reason: str
    risk_flags: str
    recommended_action: str

@dataclass
class CandidateGenerationResult:


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py (717 chars result)


def _review_status_for(confidence: str, count: int, inst, cand: ProviderCandidate) -> str:
    if count > 1:
        return "needs_manual_review"
    if confidence == "high":
        return "proposed"...[truncated]

def _norm(value: str | None) -> str:
    return re.sub(r"[^a-z0-9]+", " ", (value or "").lower()).strip()

def _name_similarity(a: str | None, b: str | None) -> float:
    na, nb = _norm(a), _norm(b)...[truncated]


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py (6,006 chars result)


    candidate_id = stable_id("ipmc", instrument_id, candidate.provider, candidate.provider_symbol, candidate.exchange or "", candidate.currency or "")
    ranking = rank_candidate(inst, candidate, candidate_count=1)
    now = utc_now()

    candidate_id = stable_id("ipmc", instrument_id, candidate.provider, candidate.provider_symbol, candidate.exchange or "", candidate.currency or "")
    now = utc_now()


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
@@ -368,6 +368,7 @@
     elif hedge_status == "unknown" and hedged is False:
         hedge_status = "unhedged"
     candidate_id = stable_id("ipmc", instrument_id, candidate.provider, candidate.provider_symbol, candidate.exchange or "", candidate.currency or "")
+    ranking = rank_candidate(inst, candidate, candidate_count=1)
     now = utc_now()
     conn.execute(
         """


Explanation:
**Considering function adjustments**

I realize I need to include candidate_count in the upsert function. So, I’ll change the signature accordingly to accommodate this new parameter. It’s important to make sure that all necessary details are incorporated to avoid any issues later on. Let’s clarify what information to pass, double-check everything, and ensure smooth functionality moving forward. This will help prevent any errors during execution and keep things running efficiently.

def upsert_candidate(conn: Connection, *, instrument_id: str, candidate: ProviderCandidate, confidence: str, review_status: str, evidence_note: str, candidate_count: int = 1) -> str:

def upsert_candidate(conn: Connection, *, instrument_id: str, candidate: ProviderCandidate, confidence: str, review_status: str, evidence_note: str) -> str:


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
@@ -357,7 +357,7 @@
     return "needs_manual_review"

-def upsert_candidate(conn: Connection, *, instrument_id: str, candidate: ProviderCandidate, confidence: str, review_status: str, evidence_note: str) -> str:
+def upsert_candidate(conn: Connection, *, instrument_id: str, candidate: ProviderCandidate, confidence: str, review_status: str, evidence_note: str, candidate_count: int = 1) -> str:
     inst = conn.execute("SELECT * FROM instruments WHERE instrument_id=?", (instrument_id,)).fetchone()
     if inst is None:
         raise ValueError(f"instrument not found: {instrument_id}")


ranking = rank_candidate(inst, candidate, candidate_count=candidate_count)

ranking = rank_candidate(inst, candidate, candidate_count=1)


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
@@ -368,7 +368,7 @@
     elif hedge_status == "unknown" and hedged is False:
         hedge_status = "unhedged"
     candidate_id = stable_id("ipmc", instrument_id, candidate.provider, candidate.provider_symbol, candidate.exchange or "", candidate.currency or "")
-    ranking = rank_candidate(inst, candidate, candidate_count=1)
+    ranking = rank_candidate(inst, candidate, candidate_count=candidate_count)
     now = utc_now()
     conn.execute(
         """


            candidate_instrument_status, candidate_valuation_policy, ranking_score,
            ranking_reason, risk_flags, recommended_action, confidence,


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
@@ -376,7 +376,8 @@
             candidate_id, instrument_id, isin, candidate_provider, candidate_provider_symbol,
             candidate_exchange, candidate_currency, candidate_name, candidate_asset_class,
             candidate_is_hedged, candidate_hedged_to_currency, candidate_hedge_status,
-            candidate_instrument_status, candidate_valuation_policy, confidence,
+            candidate_instrument_status, candidate_valuation_policy, ranking_score,
+            ranking_reason, risk_flags, recommended_action, confidence,
             evidence_source, evidence_note, review_status, created_at, updated_at
         ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
         ON CONFLICT(candidate_id) DO UPDATE SET


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
@@ -379,7 +379,7 @@
             candidate_instrument_status, candidate_valuation_policy, ranking_score,
             ranking_reason, risk_flags, recommended_action, confidence,
             evidence_source, evidence_note, review_status, created_at, updated_at
-        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
         ON CONFLICT(candidate_id) DO UPDATE SET
             candidate_exchange=excluded.candidate_exchange,
             candidate_currency=excluded.candidate_currency,


            candidate_instrument_status=excluded.candidate_instrument_status,
            candidate_valuation_policy=excluded.candidate_valuation_policy,
            ranking_score=excluded.ranking_score,
            ranking_reason=excluded.ranking_reason,
            risk_flags=excluded.risk_flags,
            recommended_action=excluded.recommended_action,
            confidence=excluded.confidence,

            candidate_instrument_status=excluded.candidate_instrument_status,
            candidate_valuation_policy=excluded.candidate_valuation_policy,
            confidence=excluded.confidence,


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
@@ -390,6 +390,10 @@
             candidate_hedge_status=excluded.candidate_hedge_status,
             candidate_instrument_status=excluded.candidate_instrument_status,
             candidate_valuation_policy=excluded.candidate_valuation_policy,
+            ranking_score=excluded.ranking_score,
+            ranking_reason=excluded.ranking_reason,
+            risk_flags=excluded.risk_flags,
+            recommended_action=excluded.recommended_action,
             confidence=excluded.confidence,
             evidence_source=excluded.evidence_source,
             evidence_note=excluded.evidence_note,


            candidate.instrument_status or "unknown", candidate.valuation_policy or "live_price",
            ranking.ranking_score, ranking.ranking_reason, ranking.risk_flags, ranking.recommended_action,
            confidence, candidate.evidence_source,

candidate.instrument_status or "unknown", candidate.valuation_policy or "live_price", confidence, candidate.evidence_source,


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
@@ -404,7 +404,9 @@
             candidate_id, instrument_id, inst["isin"], candidate.provider, candidate.provider_symbol,
             candidate.exchange, candidate.currency or inst["currency"], candidate.name, candidate.asset_class or (inst["asset_class"] or "").lower(),
             1 if hedged else 0 if hedged is False else None, hedged_to, hedge_status,
-            candidate.instrument_status or "unknown", candidate.valuation_policy or "live_price", confidence, candidate.evidence_source,
+            candidate.instrument_status or "unknown", candidate.valuation_policy or "live_price",
+            ranking.ranking_score, ranking.ranking_reason, ranking.risk_flags, ranking.recommended_action,
+            confidence, candidate.evidence_source,
             evidence_note or candidate.evidence_note, review_status, now, now,
         ),
     )


upsert_candidate(conn, instrument_id=instrument_id, candidate=cand, confidence=confidence, review_status=status, evidence_note=note, candidate_count=len(candidates))

upsert_candidate(conn, instrument_id=instrument_id, candidate=cand, confidence=confidence, review_status=status, evidence_note=note)


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
@@ -462,7 +462,7 @@
             status = _review_status_for(confidence, len(candidates), inst, cand)
             result.candidates_found += 1
             if not dry_run:
-                upsert_candidate(conn, instrument_id=instrument_id, candidate=cand, confidence=confidence, review_status=status, evidence_note=note)
+                upsert_candidate(conn, instrument_id=instrument_id, candidate=cand, confidence=confidence, review_status=status, evidence_note=note, candidate_count=len(candidates))
     if not dry_run:
         conn.commit()
     return result


Explanation:
**Recalculating function for rows**

I need to recalibrate the function for the existing rows, specifically to utilize the ProviderCandidate. This means I should also add a helper function to support this process. It’s important to ensure everything is set up correctly so that the system can work efficiently. Let’s clarify that, and then I’ll proceed to implement these updates without any hiccups! Keeping everything organized will help in the long run.

def _candidate_from_row(row) -> ProviderCandidate:
    return ProviderCandidate(
        provider=row["candidate_provider"],
        provider_symbol=row["candidate_provider_symbol"],
        exchange=row["candidate_exchange"],
        currency=row["candidate_currency"],
        name=row["candidate_name"],
        isin=row["isin"],
        asset_class=row["candidate_asset_class"],
        is_hedged=True if row["candidate_is_hedged"] == 1 else False if row["candidate_is_hedged"] == 0 else None,
        hedged_to_currency=row["candidate_hedged_to_currency"],
        hedge_status=row["candidate_hedge_status"] or "unknown",
        instrument_status=row["candidate_instrument_status"] or "unknown",
        valuation_policy=row["candidate_valuation_policy"] or "live_price",
        evidence_source=row["evidence_source"] or "provider_lookup",
        evidence_note=row["evidence_note"] or "",
    )

def recalculate_candidate_rankings(conn: Connection, *, instrument_ids: list[str] | None = None) -> dict[str, int]:
    clauses = []
    params: list[object] = []
    if instrument_ids:
        clauses.append("c.instrument_id IN (" + ",".join("?" for _ in instrument_ids) + ")")
        params.extend(instrument_ids)
    where = " WHERE " + " AND ".join(clauses) if clauses else ""
    rows = conn.execute(
        """
        SELECT c.*, i.asset_class AS instrument_asset_class, i.name AS instrument_name,
               i.ticker AS instrument_ticker, i.exchange AS instrument_exchange,
               i.currency AS instrument_currency, i.trading_currency AS instrument_trading_currency,
               i.hedge_status AS instrument_hedge_status, i.instrument_status AS source_instrument_status
        FROM instrument_price_mapping_candidates c
        JOIN instruments i ON i.instrument_id=c.instrument_id
        """ + where,
        tuple(params),
    ).fetchall()
    counts: dict[str, int] = {}
    for row in rows:
        counts[row["instrument_id"]] = counts.get(row["instrument_id"], 0) + 1
    summary = {"candidates_total": len(rows), "rank_high": 0, "rank_medium": 0, "rank_low": 0, "multiple_listings_same_isin": 0, "currency_mismatch": 0, "hedge_status_unknown": 0, "instrument_status_unknown": 0, "candidate_review_required": 0}
    by_isin: dict[str, set[tuple[str, str]]] = {}
    for row in rows:
        inst = {
            "isin": row["isin"],
            "asset_class": row["instrument_asset_class"],
            "name": row["instrument_name"],
            "ticker": row["instrument_ticker"],
            "exchange": row["instrument_exchange"],
            "currency": row["instrument_currency"],
            "trading_currency": row["instrument_trading_currency"],
        }
        cand = _candidate_from_row(row)
        ranking = rank_candidate(inst, cand, candidate_count=counts[row["instrument_id"]])
        if ranking.ranking_score >= 75:
            summary["rank_high"] += 1
        elif ranking.ranking_score >= 50:
            summary["rank_medium"] += 1
        else:
            summary["rank_low"] += 1
        risk_flags = set(filter(None, ranking.risk_flags.split(",")))
        if "currency_mismatch" in risk_flags:
            summary["currency_mismatch"] += 1
        if (row["candidate_hedge_status"] or "unknown") == "unknown":
            summary["hedge_status_unknown"] += 1
        if (row["candidate_instrument_status"] or "unknown") == "unknown":
            summary["instrument_status_unknown"] += 1
        if row["review_status"] in {"proposed", "needs_manual_review"}:
            summary["candidate_review_required"] += 1
        if row["isin"]:
            by_isin.setdefault(row["isin"], set()).add((row["candidate_exchange"] or "", row["candidate_currency"] or ""))
        conn.execute(
            """
            UPDATE instrument_price_mapping_candidates
            SET ranking_score=?, ranking_reason=?, risk_flags=?, recommended_action=?, updated_at=?
            WHERE candidate_id=?
            """,
            (ranking.ranking_score, ranking.ranking_reason, ranking.risk_flags, ranking.recommended_action, utc_now(), row["candidate_id"]),
        )
    summary["multiple_listings_same_isin"] = sum(1 for listings in by_isin.values() if len(listings) > 1)
    for instrument_id, count in counts.items():
        if count:
            create_alert(conn, priority="warnung", category="market_data", entity_type="instrument", entity_id=instrument_id, rule_id="candidate_review_required", message="Provider-symbol candidates exist but require manual selection before valuation.", evidence={"candidate_count": count}, fingerprint="candidate_review_required")
    conn.commit()
    return summary

def dedupe_missing_provider_symbol_alerts(conn: Connection) -> int:


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
@@ -468,6 +468,93 @@
     return result

+def _candidate_from_row(row) -> ProviderCandidate:
+    return ProviderCandidate(
+        provider=row["candidate_provider"],
+        provider_symbol=row["candidate_provider_symbol"],
+        exchange=row["candidate_exchange"],
+        currency=row["candidate_currency"],
+        name=row["candidate_name"],
+        isin=row["isin"],
+        asset_class=row["candidate_asset_class"],
+        is_hedged=True if row["candidate_is_hedged"] == 1 else False if row["candidate_is_hedged"] == 0 else None,
+        hedged_to_currency=row["candidate_hedged_to_currency"],
+        hedge_status=row["candidate_hedge_status"] or "unknown",
+        instrument_status=row["candidate_instrument_status"] or "unknown",
+        valuation_policy=row["candidate_valuation_policy"] or "live_price",
+        evidence_source=row["evidence_source"] or "provider_lookup",
+        evidence_note=row["evidence_note"] or "",
+    )
+
+
+def recalculate_candidate_rankings(conn: Connection, *, instrument_ids: list[str] | None = None) -> dict[str, int]:
+    clauses = []
+    params: list[object] = []
+    if instrument_ids:
+        clauses.append("c.instrument_id IN (" + ",".join("?" for _ in instrument_ids) + ")")
+        params.extend(instrument_ids)
+    where = " WHERE " + " AND ".join(clauses) if clauses else ""
+    rows = conn.execute(
+        """
+        SELECT c.*, i.asset_class AS instrument_asset_class, i.name AS instrument_name,
+               i.ticker AS instrument_ticker, i.exchange AS instrument_exchange,
+               i.currency AS instrument_currency, i.trading_currency AS instrument_trading_currency,
+               i.hedge_status AS instrument_hedge_status, i.instrument_status AS source_instrument_status
+        FROM instrument_price_mapping_candidates c
+        JOIN instruments i ON i.instrument_id=c.instrument_id
+        """ + where,
+        tuple(params),
+    ).fetchall()
+    counts: dict[str, int] = {}
+    for row in rows:
+        counts[row["instrument_id"]] = counts.get(row["instrument_id"], 0) + 1
+    summary = {"candidates_total": len(rows), "rank_high": 0, "rank_medium": 0, "rank_low": 0, "multiple_listings_same_isin": 0, "currency_mismatch": 0, "hedge_status_unknown": 0, "instrument_status_unknown": 0, "candidate_review_required": 0}
+    by_isin: dict[str, set[tuple[str, str]]] = {}
+    for row in rows:
+        inst = {
+            "isin": row["isin"],
+            "asset_class": row["instrument_asset_class"],
+            "name": row["instrument_name"],
+            "ticker": row["instrument_ticker"],
+            "exchange": row["instrument_exchange"],
+            "currency": row["instrument_currency"],
+            "trading_currency": row["instrument_trading_currency"],
+        }
+        cand = _candidate_from_row(row)
+        ranking = rank_candidate(inst, cand, candidate_count=counts[row["instrument_id"]])
+        if ranking.ranking_score >= 75:
+            summary["rank_high"] += 1
+        elif ranking.ranking_score >= 50:
+            summary["rank_medium"] += 1
+        else:
+            summary["rank_low"] += 1
+        risk_flags = set(filter(None, ranking.risk_flags.split(",")))
+        if "currency_mismatch" in risk_flags:
+            summary["currency_mismatch"] += 1
+        if (row["candidate_hedge_status"] or "unknown") == "unknown":
+            summary["hedge_status_unknown"] += 1
+        if (row["candidate_instrument_status"] or "unknown") == "unknown":
+            summary["instrument_status_unknown"] += 1
+        if row["review_status"] in {"proposed", "needs_manual_review"}:
+            summary["candidate_review_required"] += 1
+        if row["isin"]:
+            by_isin.setdefault(row["isin"], set()).add((row["candidate_exchange"] or "", row["candidate_currency"] or ""))
+        conn.execute(
+            """
+            UPDATE instrument_price_mapping_candidates
+            SET ranking_score=?, ranking_reason=?, risk_flags=?, recommended_action=?, updated_at=?
+            WHERE candidate_id=?
+            """,
+            (ranking.ranking_score, ranking.ranking_reason, ranking.risk_flags, ranking.recommended_action, utc_now(), row["candidate_id"]),
+        )
+    summary["multiple_listings_same_isin"] = sum(1 for listings in by_isin.values() if len(listings) > 1)
+    for instrument_id, count in counts.items():
+        if count:
+            create_alert(conn, priority="warnung", category="market_data", entity_type="instrument", entity_id=instrument_id, rule_id="candidate_review_required", message="Provider-symbol candidates exist but require manual selection before valuation.", evidence={"candidate_count": count}, fingerprint="candidate_review_required")
+    conn.commit()
+    return summary
+
+
 def dedupe_missing_provider_symbol_alerts(conn: Connection) -> int:
     """Keep one active mapping-quality alert per rule/instrument; resolve duplicate active rows."""
     now = utc_now()


Explanation:
**Organizing candidate data**

I need to current candidates and realize there are no columns until the migrations are complete. This is a bit tricky, but I’ll be fine. I’ll have to export the data and then add some ranking fields for clarity. Sorting it out will help in understanding how these candidates stack up, but I want to ensure I'm doing it correctly while keeping everything organized. Let's get this right!

               c.candidate_currency, c.confidence, c.ranking_score, c.ranking_reason,
               c.risk_flags, c.recommended_action, c.candidate_hedge_status,


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
@@ -586,7 +586,8 @@
         """
         SELECT i.instrument_id, i.asset_class, i.name, i.isin, i.ticker, i.exchange, i.currency,
                c.candidate_provider, c.candidate_provider_symbol, c.candidate_exchange,
-               c.candidate_currency, c.confidence, c.candidate_hedge_status,
+               c.candidate_currency, c.confidence, c.ranking_score, c.ranking_reason,
+               c.risk_flags, c.recommended_action, c.candidate_hedge_status,
                c.candidate_instrument_status, c.evidence_source, c.evidence_note,
                c.review_status
         FROM instruments i


ORDER BY i.isin, i.name, c.ranking_score DESC, c.confidence, c.candidate_provider

ORDER BY i.isin, i.name, c.confidence, c.candidate_provider


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
@@ -599,7 +599,7 @@
               AND COALESCE(is_voided,0)=0
               AND instrument_id IS NOT NULL
         )
-        ORDER BY i.isin, i.name, c.confidence, c.candidate_provider
+        ORDER BY i.isin, i.name, c.ranking_score DESC, c.confidence, c.candidate_provider
         """
     ).fetchall()
     fields = [


        "candidate_provider", "candidate_provider_symbol", "candidate_exchange", "candidate_currency",
        "confidence", "ranking_score", "ranking_reason", "risk_flags", "recommended_action", "hedge_status_candidate", "instrument_status_candidate", "evidence_source",

        "candidate_provider", "candidate_provider_symbol", "candidate_exchange", "candidate_currency",
        "confidence", "hedge_status_candidate", "instrument_status_candidate", "evidence_source",


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
@@ -605,7 +605,7 @@
     fields = [
         "instrument_id", "asset_class", "name", "isin", "ticker", "exchange", "currency",
         "candidate_provider", "candidate_provider_symbol", "candidate_exchange", "candidate_currency",
-        "confidence", "hedge_status_candidate", "instrument_status_candidate", "evidence_source",
+        "confidence", "ranking_score", "ranking_reason", "risk_flags", "recommended_action", "hedge_status_candidate", "instrument_status_candidate", "evidence_source",
         "evidence_note", "review_status", "reviewer_decision", "reviewer_note",
     ]
     with path.open("w", newline="", encoding="utf-8") as handle:


                "confidence": row["confidence"], "ranking_score": row["ranking_score"] or 0,
                "ranking_reason": row["ranking_reason"] or "", "risk_flags": row["risk_flags"] or "",
                "recommended_action": row["recommended_action"] or "needs_manual_review", "hedge_status_candidate": row["candidate_hedge_status"],

"confidence": row["confidence"], "hedge_status_candidate": row["candidate_hedge_status"],


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
@@ -617,7 +617,9 @@
                 "isin": row["isin"], "ticker": row["ticker"], "exchange": row["exchange"], "currency": row["currency"],
                 "candidate_provider": row["candidate_provider"], "candidate_provider_symbol": row["candidate_provider_symbol"],
                 "candidate_exchange": row["candidate_exchange"], "candidate_currency": row["candidate_currency"],
-                "confidence": row["confidence"], "hedge_status_candidate": row["candidate_hedge_status"],
+                "confidence": row["confidence"], "ranking_score": row["ranking_score"] or 0,
+                "ranking_reason": row["ranking_reason"] or "", "risk_flags": row["risk_flags"] or "",
+                "recommended_action": row["recommended_action"] or "needs_manual_review", "hedge_status_candidate": row["candidate_hedge_status"],
                 "instrument_status_candidate": row["candidate_instrument_status"], "evidence_source": row["evidence_source"],
                 "evidence_note": row["evidence_note"], "review_status": row["review_status"],
                 "reviewer_decision": "", "reviewer_note": "",


def export_mapping_decision_pack(conn: Connection, *, output_path: str | Path, top_n: int = 5) -> dict[str, int | str | bool]:
    path = Path(output_path).expanduser().resolve()
    path.parent.mkdir(parents=True, exist_ok=True)
    instruments = conn.execute(
        """
        SELECT DISTINCT i.instrument_id, i.name, i.isin, i.ticker, i.exchange, i.currency
        FROM instruments i
        JOIN transactions t ON t.instrument_id=i.instrument_id
        WHERE t.transaction_type='initial_position_snapshot'
          AND t.source_type='broker_import_reviewed_snapshot'
          AND COALESCE(t.is_voided,0)=0
        ORDER BY i.isin, i.name
        """
    ).fetchall()
    lines = ["# Mapping Candidate Decision Pack", "", "Runtime-only review aid. Contains no quantities, values, prices, account balances or portfolio weights.", ""]
    total_candidates = 0
    instruments_with_top = 0
    for inst in instruments:
        candidates = conn.execute(
            """
            SELECT candidate_provider, candidate_provider_symbol, candidate_exchange, candidate_currency,
                   candidate_name, isin, candidate_hedge_status, candidate_instrument_status,
                   confidence, ranking_score, ranking_reason, risk_flags, recommended_action
            FROM instrument_price_mapping_candidates
            WHERE instrument_id=? AND review_status IN ('proposed','needs_manual_review')
            ORDER BY ranking_score DESC, CASE confidence WHEN 'high' THEN 0 WHEN 'medium' THEN 1 ELSE 2 END, candidate_provider
            """,
            (inst["instrument_id"],),
        ).fetchall()
        total_candidates += len(candidates)
        if candidates:
            instruments_with_top += 1
        lines.extend([f"## Instrument {inst['instrument_id']}", "", f"- Name: {inst['name'] or ''}", f"- ISIN: {inst['isin'] or ''}", f"- Source ticker: {inst['ticker'] or ''}", f"- Source exchange: {inst['exchange'] or ''}", f"- Source currency: {inst['currency'] or ''}", f"- Candidate count: {len(candidates)}", "", "### Top Candidates", ""])
        for idx, row in enumerate(candidates[:top_n], start=1):
            lines.extend([
                f"#### Candidate {idx}",
                f"- Provider: {row['candidate_provider'] or ''}",
                f"- Provider-Symbol: {row['candidate_provider_symbol'] or ''}",
                f"- Name: {row['candidate_name'] or ''}",
                f"- ISIN: {row['isin'] or ''}",
                f"- Exchange: {row['candidate_exchange'] or ''}",
                f"- Währung: {row['candidate_currency'] or ''}",
                f"- Closing/Price Currency: {row['candidate_currency'] or ''}",
                f"- Hedge-Status: {row['candidate_hedge_status'] or 'unknown'}",
                f"- Instrument-Status: {row['candidate_instrument_status'] or 'unknown'}",
                f"- Confidence: {row['confidence'] or ''}",
                f"- Ranking Score: {row['ranking_score'] or 0}",
                f"- Recommended Action: {row['recommended_action'] or 'needs_manual_review'}",
                f"- Ranking Reason: {row['ranking_reason'] or ''}",
                f"- Risk Flags: {row['risk_flags'] or ''}",
                "- Reviewer Decision: ",
                "- Reviewer Note: ",
                "",
            ])
    path.write_text("\n".join(lines), encoding="utf-8")
    return {"output_path": str(path), "instrument_count": len(instruments), "candidate_rows": total_candidates, "instruments_with_top_candidates": instruments_with_top, "top_candidates_present": instruments_with_top == len(instruments) if instruments else False}

def select_mapping_candidate(conn: Connection, *, candidate_id: str, note: str, created_by: str = "system") -> str:


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
@@ -627,6 +627,64 @@
     return {"output_path": str(path), "rows": len(rows), "candidate_rows": sum(1 for r in rows if r["candidate_provider_symbol"]), "instrument_count": len({r["instrument_id"] for r in rows})}

+def export_mapping_decision_pack(conn: Connection, *, output_path: str | Path, top_n: int = 5) -> dict[str, int | str | bool]:
+    path = Path(output_path).expanduser().resolve()
+    path.parent.mkdir(parents=True, exist_ok=True)
+    instruments = conn.execute(
+        """
+        SELECT DISTINCT i.instrument_id, i.name, i.isin, i.ticker, i.exchange, i.currency
+        FROM instruments i
+        JOIN transactions t ON t.instrument_id=i.instrument_id
+        WHERE t.transaction_type='initial_position_snapshot'
+          AND t.source_type='broker_import_reviewed_snapshot'
+          AND COALESCE(t.is_voided,0)=0
+        ORDER BY i.isin, i.name
+        """
+    ).fetchall()
+    lines = ["# Mapping Candidate Decision Pack", "", "Runtime-only review aid. Contains no quantities, values, prices, account balances or portfolio weights.", ""]
+    total_candidates = 0
+    instruments_with_top = 0
+    for inst in instruments:
+        candidates = conn.execute(
+            """
+            SELECT candidate_provider, candidate_provider_symbol, candidate_exchange, candidate_currency,
+                   candidate_name, isin, candidate_hedge_status, candidate_instrument_status,
+                   confidence, ranking_score, ranking_reason, risk_flags, recommended_action
+            FROM instrument_price_mapping_candidates
+            WHERE instrument_id=? AND review_status IN ('proposed','needs_manual_review')
+            ORDER BY ranking_score DESC, CASE confidence WHEN 'high' THEN 0 WHEN 'medium' THEN 1 ELSE 2 END, candidate_provider
+            """,
+            (inst["instrument_id"],),
+        ).fetchall()
+        total_candidates += len(candidates)
+        if candidates:
+            instruments_with_top += 1
+        lines.extend([f"## Instrument {inst['instrument_id']}", "", f"- Name: {inst['name'] or ''}", f"- ISIN: {inst['isin'] or ''}", f"- Source ticker: {inst['ticker'] or ''}", f"- Source exchange: {inst['exchange'] or ''}", f"- Source currency: {inst['currency'] or ''}", f"- Candidate count: {len(candidates)}", "", "### Top Candidates", ""])
+        for idx, row in enumerate(candidates[:top_n], start=1):
+            lines.extend([
+                f"#### Candidate {idx}",
+                f"- Provider: {row['candidate_provider'] or ''}",
+                f"- Provider-Symbol: {row['candidate_provider_symbol'] or ''}",
+                f"- Name: {row['candidate_name'] or ''}",
+                f"- ISIN: {row['isin'] or ''}",
+                f"- Exchange: {row['candidate_exchange'] or ''}",
+                f"- Währung: {row['candidate_currency'] or ''}",
+                f"- Closing/Price Currency: {row['candidate_currency'] or ''}",
+                f"- Hedge-Status: {row['candidate_hedge_status'] or 'unknown'}",
+                f"- Instrument-Status: {row['candidate_instrument_status'] or 'unknown'}",
+                f"- Confidence: {row['confidence'] or ''}",
+                f"- Ranking Score: {row['ranking_score'] or 0}",
+                f"- Recommended Action: {row['recommended_action'] or 'needs_manual_review'}",
+                f"- Ranking Reason: {row['ranking_reason'] or ''}",
+                f"- Risk Flags: {row['risk_flags'] or ''}",
+                "- Reviewer Decision: ",
+                "- Reviewer Note: ",
+                "",
+            ])
+    path.write_text("\n".join(lines), encoding="utf-8")
+    return {"output_path": str(path), "instrument_count": len(instruments), "candidate_rows": total_candidates, "instruments_with_top_candidates": instruments_with_top, "top_candidates_present": instruments_with_top == len(instruments) if instruments else False}
+
+
 def select_mapping_candidate(conn: Connection, *, candidate_id: str, note: str, created_by: str = "system") -> str:
     if not note.strip():
         raise ValueError("candidate selection requires a note")


Explanation:
**Resolving catalog issues**

I need to select an update for the catalog and handle the candidate review requirement. I'm considering importing the catalog within the function to prevent circular imports since candidates would circularly import the catalog. I think it makes sense to do a local import inside the select function. I might add this after mapping the data. Overall, I just know I need those catalog updates handled properly!

    now = utc_now()
    try:
        from jarvis_finance.market_data.catalog import CatalogEntryInput, upsert_catalog_entry
        inst = conn.execute("SELECT * FROM instruments WHERE instrument_id=?", (cand["instrument_id"],)).fetchone()
        upsert_catalog_entry(
            conn,
            CatalogEntryInput(
                asset_class=(cand["candidate_asset_class"] or inst["asset_class"] or "equity"),
                name=cand["candidate_name"] or inst["name"],
                isin=cand["isin"] or inst["isin"],
                ticker=inst["ticker"],
                exchange=cand["candidate_exchange"],
                trading_currency=cand["candidate_currency"],
                instrument_currency=cand["candidate_currency"] or inst["currency"],
                provider=cand["candidate_provider"],
                provider_symbol=cand["candidate_provider_symbol"],
                provider_market=cand["candidate_exchange"],
                is_currency_hedged=True if cand["candidate_hedge_status"] == "hedged" else False if cand["candidate_hedge_status"] == "unhedged" else None,
                hedged_to_currency=cand["candidate_hedged_to_currency"],
                hedge_status=cand["candidate_hedge_status"] or "unknown",
                instrument_status=cand["candidate_instrument_status"] or "unknown",
                valuation_policy=cand["candidate_valuation_policy"] or "live_price",
                source="mapping_candidate_review",
                source_confidence=cand["confidence"] or "low",
                notes="Created/updated from confirmed mapping candidate; no portfolio amounts included.",
            ),
            note=note,
            created_by=created_by,
        )
    except Exception:
        # Mapping confirmation already wrote the authoritative mapping; catalog update is best-effort and audited by upsert when it succeeds.
        pass
    conn.execute("UPDATE instrument_price_mapping_candidates SET review_status='selected', updated_at=? WHERE candidate_id=?", (now, candidate_id))

    now = utc_now()
    conn.execute("UPDATE instrument_price_mapping_candidates SET review_status='selected', updated_at=? WHERE candidate_id=?", (now, candidate_id))


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
@@ -709,6 +709,37 @@
         created_by=created_by,
     )
     now = utc_now()
+    try:
+        from jarvis_finance.market_data.catalog import CatalogEntryInput, upsert_catalog_entry
+        inst = conn.execute("SELECT * FROM instruments WHERE instrument_id=?", (cand["instrument_id"],)).fetchone()
+        upsert_catalog_entry(
+            conn,
+            CatalogEntryInput(
+                asset_class=(cand["candidate_asset_class"] or inst["asset_class"] or "equity"),
+                name=cand["candidate_name"] or inst["name"],
+                isin=cand["isin"] or inst["isin"],
+                ticker=inst["ticker"],
+                exchange=cand["candidate_exchange"],
+                trading_currency=cand["candidate_currency"],
+                instrument_currency=cand["candidate_currency"] or inst["currency"],
+                provider=cand["candidate_provider"],
+                provider_symbol=cand["candidate_provider_symbol"],
+                provider_market=cand["candidate_exchange"],
+                is_currency_hedged=True if cand["candidate_hedge_status"] == "hedged" else False if cand["candidate_hedge_status"] == "unhedged" else None,
+                hedged_to_currency=cand["candidate_hedged_to_currency"],
+                hedge_status=cand["candidate_hedge_status"] or "unknown",
+                instrument_status=cand["candidate_instrument_status"] or "unknown",
+                valuation_policy=cand["candidate_valuation_policy"] or "live_price",
+                source="mapping_candidate_review",
+                source_confidence=cand["confidence"] or "low",
+                notes="Created/updated from confirmed mapping candidate; no portfolio amounts included.",
+            ),
+            note=note,
+            created_by=created_by,
+        )
+    except Exception:
+        # Mapping confirmation already wrote the authoritative mapping; catalog update is best-effort and audited by upsert when it succeeds.
+        pass
     conn.execute("UPDATE instrument_price_mapping_candidates SET review_status='selected', updated_at=? WHERE candidate_id=?", (now, candidate_id))
     conn.execute("UPDATE instrument_price_mapping_candidates SET review_status='rejected', updated_at=? WHERE instrument_id=? AND candidate_id<>? AND review_status IN ('proposed','needs_manual_review')", (now, cand["instrument_id"], candidate_id))
     record_audit_event(


Explanation:
**Evaluating function commits**

I’m thinking about potential upsert commits in mid function, which sounds like it could be important. I need to figure out how to resolve the add candidate review required aspect, which might involve checking details to ensure everything aligns correctly. It feels like there’s a bit to untangle here, but I'll focus on getting it right so I can move forward confidently with this function. Let me just take a closer look at the specifics!


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py
@@ -753,7 +753,7 @@
         confirmed=True,
         created_by=created_by,
     )
-    resolve_instrument_alerts(conn, instrument_id=cand["instrument_id"], rule_ids=["missing_provider_symbol", "ambiguous_provider_mapping"])
+    resolve_instrument_alerts(conn, instrument_id=cand["instrument_id"], rule_ids=["missing_provider_symbol", "ambiguous_provider_mapping", "candidate_review_required"])
     conn.commit()
     return mapping_id


     1|from __future__ import annotations
     2|
     3|import argparse
     4|from decimal import Decimal
     5|from pathlib import Path
     6|
     7|from jarvis_finance.config.settings import ensure_runtime_dirs, load_settings
     8|from jarvis_finance.fx.providers import MockFxProvider
     9|from jarvis_finance.fx.rates import recheck_transaction_fx_status, update_fx_rates
    10|from jarvis_finance.market.providers import CoinGeckoClient, refresh_crypto_prices
    11|from jarvis_finance.market_data.candidates import CompositePublicLookupProvider, EmptyLookupProvider, dedupe_missing_provider_symbol_alerts, export_mapping_review_template, generate_mapping_candidates
    12|from jarvis_finance.market_data.catalog import prepare_catalog_from_instruments
    13|from jarvis_finance.market_data.prices import MockEquityPriceProvider, refresh_market_prices
    14|from jarvis_finance.quality.data_quality import check_crypto_data_quality
    15|from jarvis_finance.quality.git_safety import assert_safe, scan_path
    16|from jarvis_finance.runtime.backup import backup_runtime_db, restore_runtime_db, verify_backup
    17|from jarvis_finance.storage.database import connect
    18|from jarvis_finance.storage.migrations import apply_migrations, get_schema_version
    19|
    20|
    21|def main(argv: list[str] | None = None) -> int:
    22|    parser = argparse.ArgumentParser(prog="finance")
    23|    sub = parser.add_subparsers(dest="command", required=True)
    24|    sub.add_parser("init-db")
    25|    sub.add_parser("migrate")
    26|    scan = sub.add_parser("git-safety-scan")
    27|    scan.add_argument("path", nargs="?", default=".")
    28|    prices = sub.add_parser("update-crypto-prices")
    29|    prices.add_argument("--currency", default="CHF")
    30|    prices.add_argument("--max-age-seconds", type=int, default=3600)
    31|    prices.add_argument("--sleep-seconds", type=float, default=0.0)
    32|    prices.add_argument("--max-retries", type=int, default=2)
    33|    prices.add_argument("--initial-backoff", type=float, default=1.0)
    34|    prices.add_argument("--max-backoff", type=float, default=8.0)
    35|    prices.add_argument("--only-missing", action="store_true")
    36|    prices.add_argument("--only-stale", action="store_true")
    37|    prices.add_argument("--only-symbol")
    38|    prices.add_argument("--limit", type=int)
    39|    prices.add_argument("--dry-run", action="store_true")
    40|    dq = sub.add_parser("check-data-quality")
    41|    dq.add_argument("--scope", choices=["crypto"], default="crypto")
    42|    dq.add_argument("--resolve-fixed", action="store_true")
    43|    dq.add_argument("--dry-run", action="store_true")
    44|    dq.add_argument("--currency", default="CHF")
    45|    dq.add_argument("--max-age-seconds", type=int, default=86_400)
    46|    fx = sub.add_parser("update-fx-rates")
    47|    fx.add_argument("--date", dest="rate_date")
    48|    fx.add_argument("--latest", action="store_true")
    49|    fx.add_argument("--missing-only", action="store_true")
    50|    fx.add_argument("--dry-run", action="store_true")
    51|    fx.add_argument("--currency", action="append", dest="currencies")
    52|    fx.add_argument("--mock-rate", action="append", default=[], help="Test-only BASE=RATE, e.g. USD=0.9")
    53|    fx.add_argument("--recheck-transactions", action="store_true")
    54|    fx.add_argument("--source-type")
    55|    market_prices = sub.add_parser("update-market-prices")
    56|    market_prices.add_argument("--asset-class", choices=["etf", "equity"], required=True)
    57|    market_prices.add_argument("--only-missing", action="store_true")
    58|    market_prices.add_argument("--only-stale", action="store_true")
    59|    market_prices.add_argument("--only-isin")
    60|    market_prices.add_argument("--limit", type=int)
    61|    market_prices.add_argument("--dry-run", action="store_true")
    62|    market_prices.add_argument("--date", dest="price_date")
    63|    market_prices.add_argument("--mock-price", action="append", default=[], help="Test-only SYMBOL=PRICE")
    64|    catalog = sub.add_parser("prepare-instrument-catalog")
    65|    catalog.add_argument("--source", default="true_wealth")
    66|    catalog.add_argument("--limit", type=int)
    67|    candidates = sub.add_parser("generate-mapping-candidates")
    68|    candidates.add_argument("--source", default="true_wealth")
    69|    candidates.add_argument("--limit", type=int)
    70|    candidates.add_argument("--dry-run", action="store_true")
    71|    candidates.add_argument("--public-lookup", action="store_true")
    72|    candidates.add_argument("--export-template", action="store_true")
    73|    candidates.add_argument("--template-path")
    74|    candidates.add_argument("--dedupe-missing-provider-alerts", action="store_true")
    75|    sub.add_parser("backup-runtime-db")
    76|    restore = sub.add_parser("restore-runtime-db")
    77|    restore.add_argument("--from", dest="backup_file", required=True)
    78|    restore.add_argument("--yes", action="store_true")
    79|    verify = sub.add_parser("verify-backup")
    80|    verify.add_argument("--file", required=True)
    81|    args = parser.parse_args(argv)
    82|
    83|    if args.command in {"init-db", "migrate"}:
    84|        settings = load_settings()
    85|        ensure_runtime_dirs(settings)
    86|        conn = connect(settings.db_path)
    87|        apply_migrations(conn)
    88|        print(f"SCHEMA_VERSION={get_schema_version(conn)}")
    89|        return 0
    90|    if args.command == "git-safety-scan":
    91|        findings = scan_path(Path(args.path))
    92|        if findings:
    93|            for finding in findings:
    94|                print(f"{finding.path}: {finding.reason}")
    95|            return 1
    96|        assert_safe(Path(args.path))
    97|        print("GIT_SAFETY_OK")
    98|        return 0
    99|    if args.command == "update-crypto-prices":
   100|        settings = load_settings()
   101|        ensure_runtime_dirs(settings)
   102|        conn = connect(settings.db_path)
   103|        try:
   104|            apply_migrations(conn)
   105|            result = refresh_crypto_prices(
   106|                conn,
   107|                provider=CoinGeckoClient(
   108|                    max_retries=args.max_retries,
   109|                    initial_backoff_seconds=args.initial_backoff,
   110|                    max_backoff_seconds=args.max_backoff,
   111|                ),
   112|                currency=args.currency,
   113|                max_age_seconds=args.max_age_seconds,
   114|                only_missing=args.only_missing,
   115|                only_stale=args.only_stale,
   116|                only_symbol=args.only_symbol,
   117|                limit=args.limit,
   118|                dry_run=args.dry_run,
   119|                sleep_seconds=args.sleep_seconds,
   120|            )
   121|            print(
   122|                "CRYPTO_PRICE_UPDATE "
   123|                f"currency={result.currency} total_assets={result.total_assets} "
   124|                f"updated={result.updated_count} cached={result.cached_count} "
   125|                f"skipped={result.skipped_count} stale={result.stale_count} "
   126|                f"warnings={result.warning_count} errors={result.error_count} "
   127|                f"assets_still_missing_local_price={result.missing_local_price_count} "
   128|                f"dry_run={str(result.dry_run).lower()}"
   129|            )
   130|            return 1 if result.error_count else 0
   131|        finally:
   132|            conn.close()
   133|    if args.command == "update-fx-rates":
   134|        settings = load_settings()
   135|        ensure_runtime_dirs(settings)
   136|        conn = connect(settings.db_path)
   137|        try:
   138|            apply_migrations(conn)
   139|            if args.recheck_transactions:
   140|                result = recheck_transaction_fx_status(conn, source_type=args.source_type, dry_run=args.dry_run)
   141|                print(
   142|                    "FX_RECHECK "
   143|                    f"transactions={result.transaction_count} chf_positions={result.chf_positions} "
   144|                    f"foreign_currency_positions={result.foreign_currency_positions} "
   145|                    f"justified_missing_fx_alerts={result.justified_missing_fx_alerts} "
   146|                    f"false_positive_missing_fx_alerts={result.false_positive_missing_fx_alerts} "
   147|                    f"corrected_transactions={result.corrected_transactions} resolved_alerts={result.resolved_alerts} "
   148|                    f"audit_events={result.audit_events} dry_run={str(result.dry_run).lower()}"
   149|                )
   150|                return 0
   151|            if not args.rate_date and not args.latest:
   152|                parser.error("update-fx-rates requires --date or --latest unless --recheck-transactions is used")
   153|            mock_rates: dict[tuple[str, str, str], Decimal | None] = {}
   154|            for item in args.mock_rate:
   155|                base, rate = item.split("=", 1)
   156|                mock_rates[(base.upper(), "CHF", args.rate_date or "latest")] = Decimal(rate)
   157|            currencies = args.currencies or sorted({r["currency_original"] for r in conn.execute("SELECT DISTINCT currency_original FROM transactions WHERE currency_original IS NOT NULL").fetchall()})
   158|            provider = MockFxProvider(mock_rates)
   159|            result = update_fx_rates(conn, provider=provider, currencies=currencies, rate_date=args.rate_date or "latest", latest=args.latest, missing_only=args.missing_only, dry_run=args.dry_run)
   160|            print(
   161|                "FX_RATE_UPDATE "
   162|                f"updated={result.updated_count} cached={result.cached_count} skipped={result.skipped_count} "
   163|                f"warnings={result.warning_count} errors={result.error_count} resolved_alerts={result.resolved_alerts} "
   164|                f"dry_run={str(result.dry_run).lower()}"
   165|            )
   166|            return 1 if result.error_count else 0
   167|        finally:
   168|            conn.close()
   169|    if args.command == "update-market-prices":
   170|        settings = load_settings()
   171|        ensure_runtime_dirs(settings)
   172|        conn = connect(settings.db_path)
   173|        try:
   174|            apply_migrations(conn)
   175|            prices = {}
   176|            for item in args.mock_price:
   177|                symbol, price = item.split("=", 1)
   178|                prices[symbol] = Decimal(price)
   179|            result = refresh_market_prices(
   180|                conn,
   181|                provider=MockEquityPriceProvider(prices),
   182|                asset_class=args.asset_class,
   183|                price_date=args.price_date,
   184|                only_missing=args.only_missing,
   185|                only_stale=args.only_stale,
   186|                only_isin=args.only_isin,
   187|                limit=args.limit,
   188|                dry_run=args.dry_run,
   189|            )
   190|            print(
   191|                "MARKET_PRICE_UPDATE "
   192|                f"asset_class={result.asset_class} total_mappings={result.total_mappings} updated={result.updated_count} "
   193|                f"cached={result.cached_count} skipped={result.skipped_count} stale={result.stale_count} "
   194|                f"warnings={result.warning_count} errors={result.error_count} dry_run={str(result.dry_run).lower()}"
   195|            )
   196|            return 1 if result.error_count else 0
   197|        finally:
   198|            conn.close()
   199|    if args.command == "prepare-instrument-catalog":
   200|        settings = load_settings()
   201|        ensure_runtime_dirs(settings)
   202|        conn = connect(settings.db_path)
   203|        try:
   204|            apply_migrations(conn)
   205|            rows = conn.execute(
   206|                """
   207|                SELECT DISTINCT t.instrument_id
   208|                FROM transactions t JOIN instruments i ON i.instrument_id=t.instrument_id
   209|                WHERE t.transaction_type='initial_position_snapshot'
   210|                  AND t.source_type='broker_import_reviewed_snapshot'
   211|                  AND COALESCE(t.is_voided,0)=0
   212|                  AND t.instrument_id IS NOT NULL
   213|                ORDER BY i.isin, i.name
   214|                """
   215|            ).fetchall()
   216|            ids = [r["instrument_id"] for r in rows]
   217|            if args.limit is not None:
   218|                ids = ids[:args.limit]
   219|            summary = prepare_catalog_from_instruments(conn, instrument_ids=ids, source=args.source)
   220|            print(
   221|                "INSTRUMENT_CATALOG_PREP "
   222|                f"instruments_total={summary['instruments_total']} catalog_entries_created={summary['catalog_entries_created']} "
   223|                f"multiple_listings={summary['multiple_listings']} manual_review_required={summary['manual_review_required']} "
   224|                f"hedge_unknown={summary['hedge_unknown']} instrument_status_unknown={summary['instrument_status_unknown']} "
   225|                f"valuation_ready={summary['valuation_ready']}"
   226|            )
   227|            return 0
   228|        finally:
   229|            conn.close()
   230|    if args.command == "generate-mapping-candidates":
   231|        settings = load_settings()
   232|        ensure_runtime_dirs(settings)
   233|        conn = connect(settings.db_path)
   234|        try:
   235|            apply_migrations(conn)
   236|            if args.dedupe_missing_provider_alerts:
   237|                resolved = dedupe_missing_provider_symbol_alerts(conn)
   238|            else:
   239|                resolved = 0
   240|            provider = CompositePublicLookupProvider() if args.public_lookup else EmptyLookupProvider()
   241|            result = generate_mapping_candidates(conn, provider=provider, source=args.source, limit=args.limit, dry_run=args.dry_run)
   242|            template = None
   243|            if args.export_template:
   244|                template_path = args.template_path or str(settings.runtime_paths.exports_dir / "true_wealth_mapping_review_template.csv")
   245|                template = export_mapping_review_template(conn, output_path=template_path)
   246|            print(
   247|                "MAPPING_CANDIDATES "
   248|                f"instruments_total={result.instruments_total} candidates_found={result.candidates_found} "
   249|                f"high={result.high_confidence} medium={result.medium_confidence} low={result.low_confidence} "
   250|                f"instruments_without_candidate={result.instruments_without_candidate} "
   251|                f"hedge_unknown={result.instruments_with_hedge_unknown} instrument_status_unknown={result.instruments_with_status_unknown} "
   252|                f"provider_lookup_unavailable={result.provider_lookup_unavailable} ambiguous={result.ambiguous_provider_mapping} "
   253|                f"deduped_missing_provider_alerts={resolved} "
   254|                f"template_updated={str(bool(template)).lower()} template_instruments={template['instrument_count'] if template else 0} template_candidates={template['candidate_rows'] if template else 0} "
   255|                f"dry_run={str(result.dry_run).lower()}"
   256|            )
   257|            return 0
   258|        finally:
   259|            conn.close()
   260|    if args.command == "check-data-quality":
   261|        settings = load_settings()
   262|        ensure_runtime_dirs(settings)
   263|        conn = connect(settings.db_path)
   264|        try:
   265|            apply_migrations(conn)
   266|            result = check_crypto_data_quality(
   267|                conn,
   268|                currency=args.currency,
   269|                max_age_seconds=args.max_age_seconds,
   270|                resolve_fixed=args.resolve_fixed,
   271|                dry_run=args.dry_run,
   272|            )
   273|            print(
   274|                "DATA_QUALITY_CHECK "
   275|                f"scope={result.scope} active_crypto_assets={result.active_crypto_assets} "
   276|                f"fresh_price_assets={result.fresh_price_assets} "
   277|                f"active_stale_price_alerts_before={result.active_stale_price_alerts_before} "
   278|                f"active_stale_price_alerts_after={result.active_stale_price_alerts_after} "
   279|                f"resolved_alerts={result.resolved_alerts} "
   280|                f"warnings={result.warnings} errors={result.errors} "
   281|

Use offset=281 to continue reading (showing 1-280 of 328 lines)


from jarvis_finance.market_data.candidates import CompositePublicLookupProvider, EmptyLookupProvider, dedupe_missing_provider_symbol_alerts, export_mapping_decision_pack, export_mapping_review_template, generate_mapping_candidates, recalculate_candidate_rankings

from jarvis_finance.market_data.candidates import CompositePublicLookupProvider, EmptyLookupProvider, dedupe_missing_provider_symbol_alerts, export_mapping_review_template, generate_mapping_candidates


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py
@@ -8,7 +8,7 @@
 from jarvis_finance.fx.providers import MockFxProvider
 from jarvis_finance.fx.rates import recheck_transaction_fx_status, update_fx_rates
 from jarvis_finance.market.providers import CoinGeckoClient, refresh_crypto_prices
-from jarvis_finance.market_data.candidates import CompositePublicLookupProvider, EmptyLookupProvider, dedupe_missing_provider_symbol_alerts, export_mapping_review_template, generate_mapping_candidates
+from jarvis_finance.market_data.candidates import CompositePublicLookupProvider, EmptyLookupProvider, dedupe_missing_provider_symbol_alerts, export_mapping_decision_pack, export_mapping_review_template, generate_mapping_candidates, recalculate_candidate_rankings
 from jarvis_finance.market_data.catalog import prepare_catalog_from_instruments
 from jarvis_finance.market_data.prices import MockEquityPriceProvider, refresh_market_prices
 from jarvis_finance.quality.data_quality import check_crypto_data_quality

/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py was last read with offset/limit pagination (partial view). Re-read the whole file before overwriting it.


[Your active task list was preserved across context compression]
- [>] c3d-0. Vorprüfung Repo/Runtime und Schema für Candidate Ranking (in_progress)
- [ ] c3d-1. Candidate Ranking/Decision Pack/Data Quality implementieren (pending)
- [ ] c3d-2. Dashboard Mapping Review UX erweitern (pending)
- [ ] c3d-3. Personal-Finance Backlog-Dokument runtime/code-sicher vormerken (pending)
- [ ] c3d-4. Tests ergänzen und ausführen (pending)
- [ ] c3d-5. Produktiven vorsichtigen Runtime-Lauf aggregiert ausführen (pending)
- [ ] c3d-6. Compile, Git-Safety, Commit und Push (pending)


Explanation:
**Inspecting current files**

I need to continue my work and inspect the current files, even if they might be partial. It looks like the skill is already loaded, which is good. I need to utilize the available tools effectively and also fix the command in the command-line interface (CLI). It's important to make those adjustments seamlessly so I can move forward with my tasks!

todo

Vorprüfung Repo/Runtime und Schema für Candidate Ranking

Candidate Ranking/Decision Pack/Data Quality implementieren


Dashboard Mapping Review UX erweitern

Personal-Finance Backlog-Dokument runtime/code-sicher vormerken

Tests ergänzen und ausführen

Produktiven vorsichtigen Runtime-Lauf aggregiert ausführen

Compile, Git-Safety, Commit und Push