Per user request, the LLM is no longer asked to extract rooms/size/rent/WBS —
those come from the inberlinwohnen.de scraper which is reliable. Haiku is now
used for one narrow job: pick which <img> URLs from the listing page are
actual flat photos (vs. logos, badges, ads, employee portraits). On any LLM
failure the unfiltered candidate list passes through.
Image dedup runs in two tiers:
1. SHA256 of bytes — drops different URLs that point to byte-identical files
2. Perceptual hash (Pillow + imagehash, Hamming distance ≤ 5) — drops the
"same image at a different resolution" duplicates from srcset / CDN
variants that were filling galleries with 2–4× copies
UI:
- Wohnungsliste falls back to scraper-only display (rooms/size/rent/wbs)
- Detail panel only shows images + "Zur Original-Anzeige →"; description /
features / pros & cons / kv table are gone
- Per-row "erneut versuchen" link + the "analysiert…/?" status chips were
tied to LLM extraction and are removed; the header "Bilder nachladen (N)"
button still surfaces pending/failed batches for admins
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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>
