globe-feed komplett neu geschrieben (unhashable dict Fix)
Saubere Implementierung mit set() fuer Artikel-Deduplizierung. 54 Features mit ortsspezifischen Artikeln fuer Lage 45.
Dieser Commit ist enthalten in:
Claude Dev
@@ -247,20 +247,19 @@ async def get_globe_feed(
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incident_id: int = None,
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db=Depends(db_dependency),
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):
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"""Globe-Feed: Locations + Artikel + Summary fuer beliebige Lage(n) als GeoJSON."""
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"""Globe-Feed: Geoparsete Standorte mit Artikeln pro Ort."""
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import json as _json
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# Wenn keine ID: alle oeffentlichen Lagen
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if incident_id:
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cursor = await db.execute(
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"SELECT id, title, description, summary, updated_at, type, status, category_labels "
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"FROM incidents WHERE id = ? AND status != 'deleted'", (incident_id,)
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"FROM incidents WHERE id = ?", (incident_id,)
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)
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else:
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cursor = await db.execute(
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"SELECT id, title, description, summary, updated_at, type, status, category_labels "
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"FROM incidents WHERE visibility = 'public' AND status IN ('active','archived') "
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"ORDER BY updated_at DESC LIMIT 20"
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"FROM incidents WHERE visibility = 'public' AND status = 'active' AND type = 'adhoc' "
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"ORDER BY updated_at DESC LIMIT 10"
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)
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incidents = [dict(r) for r in await cursor.fetchall()]
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if not incidents:
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@@ -269,96 +268,77 @@ async def get_globe_feed(
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inc_ids = [i["id"] for i in incidents]
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ids_sql = ",".join(str(i) for i in inc_ids)
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# Locations mit vollstaendigen Artikel-Details
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# Alle Locations mit Artikel-IDs holen
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cursor = await db.execute(
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f"""SELECT
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al.location_name_normalized as name,
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ROUND(al.latitude, 4) as lat,
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ROUND(al.longitude, 4) as lon,
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al.country_code,
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al.category,
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al.incident_id,
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al.article_id
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f"""SELECT al.location_name_normalized as name,
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ROUND(al.latitude, 4) as lat, ROUND(al.longitude, 4) as lon,
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al.country_code, al.category, al.incident_id, al.article_id
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FROM article_locations al
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WHERE al.incident_id IN ({ids_sql})
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ORDER BY al.location_name_normalized"""
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WHERE al.incident_id IN ({ids_sql})"""
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)
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loc_rows = [dict(r) for r in await cursor.fetchall()]
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# Artikel-IDs sammeln
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all_article_ids = list(set(r["article_id"] for r in loc_rows if r.get("article_id")))
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# Artikel laden
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articles_map = {{}}
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if all_article_ids:
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aids_sql = ",".join(str(a) for a in all_article_ids[:1000])
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# Alle referenzierten Artikel laden
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art_ids = list(set(r["article_id"] for r in loc_rows if r.get("article_id")))
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articles_by_id = {}
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if art_ids:
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for chunk_start in range(0, len(art_ids), 500):
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chunk = art_ids[chunk_start:chunk_start+500]
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aids = ",".join(str(a) for a in chunk)
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cursor = await db.execute(
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f"""SELECT id, headline_de, headline, source, source_url, content_de,
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published_at, collected_at
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FROM articles WHERE id IN ({{aids_sql}})"""
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f"SELECT id, headline_de, headline, source, source_url, content_de, "
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f"published_at, collected_at FROM articles WHERE id IN ({aids})"
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)
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for a in await cursor.fetchall():
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a = dict(a)
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articles_map[a["id"]] = a
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articles_by_id[a["id"]] = a
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# Nach Ort gruppieren
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from collections import defaultdict
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loc_groups = defaultdict(lambda: {{"articles": [], "lat": 0, "lon": 0, "country": "", "category": "", "incident_id": 0}})
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loc_map = {}
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for r in loc_rows:
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key = r["name"] or "unknown"
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g = loc_groups[key]
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g["lat"] = r["lat"]
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g["lon"] = r["lon"]
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g["country"] = r["country_code"]
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g["category"] = r["category"]
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g["incident_id"] = r["incident_id"]
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if r.get("article_id") and r["article_id"] in articles_map:
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art = articles_map[r["article_id"]]
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if art not in g["articles"]:
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g["articles"].append(art)
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key = (r["name"] or "unknown", r["incident_id"])
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if key not in loc_map:
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loc_map[key] = {
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"lat": r["lat"], "lon": r["lon"], "country": r["country_code"],
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"category": r["category"], "incident_id": r["incident_id"],
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"seen_ids": set(), "articles": [],
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}
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g = loc_map[key]
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aid = r.get("article_id")
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if aid and aid in articles_by_id and aid not in g["seen_ids"]:
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g["seen_ids"].add(aid)
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g["articles"].append(articles_by_id[aid])
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# Als GeoJSON
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# GeoJSON bauen
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features = []
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for name, g in list(loc_groups.items())[:500]:
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inc = next((i for i in incidents if i["id"] == g["incident_id"]), None)
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art_list = g["articles"][:5]
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features.append({{
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for (name, inc_id), g in list(loc_map.items())[:500]:
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inc = next((i for i in incidents if i["id"] == inc_id), None)
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features.append({
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"type": "Feature",
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"geometry": {{"type": "Point", "coordinates": [g["lon"], g["lat"]]}},
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"properties": {{
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"geometry": {"type": "Point", "coordinates": [g["lon"], g["lat"]]},
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"properties": {
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"name": name,
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"country": g["country"],
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"category": g["category"],
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"article_count": len(g["articles"]),
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"incident_id": g["incident_id"],
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"incident_id": inc_id,
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"incident_title": inc["title"] if inc else "",
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"articles": [{{
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"articles": [{
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"headline": a.get("headline_de") or a.get("headline", ""),
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"source": a.get("source", ""),
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"url": a.get("source_url", ""),
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"summary": (a.get("content_de") or "")[:300],
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"date": a.get("published_at") or a.get("collected_at", ""),
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}} for a in art_list],
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}},
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}})
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} for a in g["articles"][:5]],
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},
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})
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# Incident-Summaries
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inc_summaries = []
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for i in incidents:
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cat_labels = None
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if i.get("category_labels"):
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try:
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cat_labels = _json.loads(i["category_labels"])
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except Exception:
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pass
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inc_summaries.append({
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"id": i["id"],
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"title": i["title"],
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"type": i["type"],
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"status": i["status"],
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"summary": (i.get("summary") or "")[:1000],
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"id": i["id"], "title": i["title"], "type": i["type"],
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"status": i["status"], "summary": (i.get("summary") or "")[:1000],
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"updated_at": i["updated_at"],
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"category_labels": cat_labels,
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})
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return {
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@@ -368,6 +348,7 @@ async def get_globe_feed(
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"generated_at": datetime.now(TIMEZONE).isoformat(),
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}
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@router.get("/lagebild/snapshot/{snapshot_id}", dependencies=[Depends(verify_api_key)])
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async def get_snapshot(snapshot_id: int, db=Depends(db_dependency)):
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"""Liefert einen historischen Snapshot."""
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