Each enrichment failure now records {"_error": "...", "_step": "..."} into
enrichment_json, mirrors the message into the errors log (visible in
/logs/protokoll), and the list shows the cause as a tooltip on the
"Fehler beim Abrufen der Infos" text. Admins also get a "erneut versuchen"
link per failed row that re-queues just that flat (POST /actions/enrich-flat).
The pipeline raises a typed EnrichmentError per step (fetch / llm / crash)
so future failure modes don't get swallowed as a silent "failed".
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
apply service
- POST /internal/fetch-listing: headless Playwright fetch of a listing URL,
returns {html, image_urls[], final_url}. Uses the same browser
fingerprint/profile as the apply run so bot guards don't kick in
web service
- New enrichment pipeline (web/enrichment.py):
/internal/flats → upsert → kick() enrichment in a background thread
1. POST /internal/fetch-listing on apply
2. llm.extract_flat_details(html, url) — Haiku tool-use call returns
structured JSON (address, rooms, rent, description, pros/cons, etc.)
3. Download each image directly to /data/flats/<slug>/NN.<ext>
4. Persist enrichment_json + image_count + enrichment_status on the flat
- llm.py: minimal Anthropic /v1/messages wrapper, no SDK
- DB migration v5 adds enrichment_json/_status/_updated_at + image_count
- Admin "Altbestand anreichern" button (POST /actions/enrich-all) queues
backfill for all pending/failed rows; runs in a detached task
- GET /partials/wohnung/<id> renders _wohnung_detail.html
- GET /flat-images/<slug>/<n> serves the downloaded image
UI
- Chevron on each list row toggles an inline detail pane (HTMX fetch on
first open, hx-preserve keeps it open across the 3–30 s polls)
- CSS .flat-gallery normalises image tiles to a 4/3 aspect with object-fit:
cover so different source sizes align cleanly
- "analysiert…" / "?" chips on the list reflect enrichment_status
Config
- ANTHROPIC_API_KEY + ANTHROPIC_MODEL wired into docker-compose's web
service (default model: claude-haiku-4-5-20251001)
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
