- Duplikat-Check basiert auf source_id+type statt exaktem Titel - add_source ohne source_id prüft per Domain-Match - Stale-Check überspringt web_sources (nur RSS-Feeds prüfen) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
278 Zeilen
10 KiB
Python
278 Zeilen
10 KiB
Python
"""KI-gestützte Quellen-Vorschläge via Haiku."""
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import json
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import logging
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import re
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import aiosqlite
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from agents.claude_client import call_claude
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from config import CLAUDE_MODEL_FAST
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logger = logging.getLogger("osint.source_suggester")
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async def generate_suggestions(db: aiosqlite.Connection) -> int:
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"""Generiert Quellen-Vorschläge basierend auf Health-Checks und Lückenanalyse."""
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logger.info("Starte Quellen-Vorschläge via Haiku...")
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# 1. Aktuelle Quellen laden
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cursor = await db.execute(
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"SELECT id, name, url, domain, source_type, category, status, "
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"article_count, last_seen_at "
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"FROM sources WHERE tenant_id IS NULL ORDER BY category, name"
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)
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sources = [dict(row) for row in await cursor.fetchall()]
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# 2. Health-Check-Probleme laden
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cursor = await db.execute("""
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SELECT h.source_id, s.name, s.domain, s.url,
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h.check_type, h.status, h.message
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FROM source_health_checks h
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JOIN sources s ON s.id = h.source_id
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WHERE h.status IN ('error', 'warning')
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""")
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issues = [dict(row) for row in await cursor.fetchall()]
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# 3. Alte pending-Vorschläge entfernen (älter als 30 Tage)
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await db.execute(
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"DELETE FROM source_suggestions "
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"WHERE status = 'pending' AND created_at < datetime('now', '-30 days')"
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)
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# 4. Quellen-Zusammenfassung für Haiku
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categories = {}
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for s in sources:
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cat = s["category"]
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if cat not in categories:
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categories[cat] = []
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categories[cat].append(s)
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source_summary = ""
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for cat, cat_sources in sorted(categories.items()):
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active = [
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s for s in cat_sources
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if s["status"] == "active" and s["source_type"] != "excluded"
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]
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source_summary += f"\n{cat} ({len(active)} aktiv): "
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source_summary += ", ".join(s["name"] for s in active[:10])
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if len(active) > 10:
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source_summary += f" ... (+{len(active) - 10} weitere)"
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issues_summary = ""
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if issues:
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issues_summary = "\n\nProbleme gefunden:\n"
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for issue in issues[:20]:
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issues_summary += (
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f"- [source_id={issue['source_id']}] {issue['name']} ({issue['domain']}): "
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f"{issue['check_type']} = {issue['status']} - {issue['message']}\n"
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)
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prompt = f"""Du bist ein OSINT-Analyst und verwaltest die Quellensammlung eines Lagebildmonitors für Sicherheitsbehörden.
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Aktuelle Quellensammlung:{source_summary}{issues_summary}
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Aufgabe: Analysiere die Quellensammlung und schlage Verbesserungen vor.
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Beachte:
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1. Bei Problemen (nicht erreichbar, leere Feeds): Schlage "deactivate_source" vor und setze "source_id" auf die ID aus [source_id=X] in der Problemliste
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2. Fehlende wichtige OSINT-Quellen: Schlage "add_source" mit konkreter RSS-Feed-URL vor
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3. Fokus auf deutschsprachige + wichtige internationale Nachrichtenquellen
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4. Nur Quellen vorschlagen, die NICHT bereits vorhanden sind
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5. Maximal 5 Vorschläge
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Antworte NUR mit einem JSON-Array. Jedes Element:
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{{
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"type": "add_source|deactivate_source|fix_url|remove_source",
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"title": "Kurzer Titel",
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"description": "Begründung",
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"priority": "low|medium|high",
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"source_id": null,
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"data": {{
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"name": "Anzeigename",
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"url": "https://...",
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"domain": "example.de",
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"category": "international|nachrichtenagentur|qualitaetszeitung|behoerde|fachmedien|think-tank|regional|sonstige"
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}}
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}}
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Nur das JSON-Array, kein anderer Text."""
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try:
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response, usage = await call_claude(
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prompt, tools=None, model=CLAUDE_MODEL_FAST,
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)
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json_match = re.search(r'\[.*\]', response, re.DOTALL)
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if not json_match:
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logger.warning("Keine Vorschläge von Haiku erhalten (kein JSON)")
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return 0
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suggestions = json.loads(json_match.group(0))
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count = 0
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for suggestion in suggestions[:5]:
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stype = suggestion.get("type", "add_source")
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title = suggestion.get("title", "")
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desc = suggestion.get("description", "")
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priority = suggestion.get("priority", "medium")
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source_id = suggestion.get("source_id")
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data = json.dumps(
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suggestion.get("data", {}), ensure_ascii=False,
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)
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# source_id validieren (muss existieren oder None sein)
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if source_id is not None:
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cursor = await db.execute(
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"SELECT id FROM sources WHERE id = ?", (source_id,),
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)
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if not await cursor.fetchone():
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source_id = None
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# Duplikat-Check: gleicher Typ + gleiche source_id oder gleiche Domain pending?
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if source_id is not None:
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cursor = await db.execute(
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"SELECT id FROM source_suggestions "
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"WHERE suggestion_type = ? AND source_id = ? AND status = 'pending'",
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(stype, source_id),
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)
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else:
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# Bei add_source ohne source_id: Domain aus suggested_data prüfen
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check_domain = suggestion.get('data', {}).get('domain', '')
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if check_domain:
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cursor = await db.execute(
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"SELECT id FROM source_suggestions "
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"WHERE suggestion_type = ? AND suggested_data LIKE ? AND status = 'pending'",
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(stype, f'%{check_domain}%'),
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)
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else:
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cursor = await db.execute(
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"SELECT id FROM source_suggestions "
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"WHERE title = ? AND status = 'pending'",
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(title,),
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)
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if await cursor.fetchone():
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continue
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await db.execute(
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"INSERT INTO source_suggestions "
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"(suggestion_type, title, description, source_id, "
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"suggested_data, priority, status) "
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"VALUES (?, ?, ?, ?, ?, ?, 'pending')",
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(stype, title, desc, source_id, data, priority),
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)
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count += 1
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await db.commit()
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logger.info(
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f"Quellen-Vorschläge: {count} neue Vorschläge generiert "
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f"(Haiku: {usage.input_tokens} in / {usage.output_tokens} out / "
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f"${usage.cost_usd:.4f})"
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)
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return count
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except Exception as e:
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logger.error(f"Fehler bei Quellen-Vorschlägen: {e}", exc_info=True)
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return 0
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async def apply_suggestion(
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db: aiosqlite.Connection, suggestion_id: int, accept: bool,
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) -> dict:
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"""Wendet einen Vorschlag an oder lehnt ihn ab."""
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cursor = await db.execute(
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"SELECT * FROM source_suggestions WHERE id = ?", (suggestion_id,),
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)
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suggestion = await cursor.fetchone()
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if not suggestion:
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raise ValueError("Vorschlag nicht gefunden")
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suggestion = dict(suggestion)
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if suggestion["status"] != "pending":
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raise ValueError(f"Vorschlag bereits {suggestion['status']}")
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new_status = "accepted" if accept else "rejected"
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result = {"status": new_status, "action": None}
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if accept:
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stype = suggestion["suggestion_type"]
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data = (
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json.loads(suggestion["suggested_data"])
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if suggestion["suggested_data"]
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else {}
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)
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if stype == "add_source":
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name = data.get("name", "Unbenannt")
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url = data.get("url")
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domain = data.get("domain", "")
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category = data.get("category", "sonstige")
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source_type = "rss_feed" if url and any(
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x in (url or "").lower()
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for x in ("rss", "feed", "xml", "atom")
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) else "web_source"
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if url:
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cursor = await db.execute(
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"SELECT id FROM sources WHERE url = ? AND tenant_id IS NULL",
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(url,),
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)
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if await cursor.fetchone():
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result["action"] = "übersprungen (URL bereits vorhanden)"
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new_status = "rejected"
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else:
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await db.execute(
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"INSERT INTO sources "
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"(name, url, domain, source_type, category, status, "
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"added_by, tenant_id) "
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"VALUES (?, ?, ?, ?, ?, 'active', 'haiku-vorschlag', NULL)",
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(name, url, domain, source_type, category),
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)
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result["action"] = f"Quelle '{name}' angelegt"
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else:
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result["action"] = "übersprungen (keine URL)"
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new_status = "rejected"
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elif stype == "deactivate_source":
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source_id = suggestion["source_id"]
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if source_id:
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await db.execute(
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"UPDATE sources SET status = 'inactive' WHERE id = ?",
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(source_id,),
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)
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result["action"] = "Quelle deaktiviert"
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else:
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result["action"] = "übersprungen (keine source_id)"
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elif stype == "remove_source":
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source_id = suggestion["source_id"]
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if source_id:
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await db.execute(
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"DELETE FROM sources WHERE id = ?", (source_id,),
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)
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result["action"] = "Quelle gelöscht"
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else:
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result["action"] = "übersprungen (keine source_id)"
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elif stype == "fix_url":
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source_id = suggestion["source_id"]
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new_url = data.get("url")
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if source_id and new_url:
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await db.execute(
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"UPDATE sources SET url = ? WHERE id = ?",
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(new_url, source_id),
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)
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result["action"] = f"URL aktualisiert auf {new_url}"
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else:
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result["action"] = "übersprungen (keine source_id oder URL)"
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await db.execute(
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"UPDATE source_suggestions SET status = ?, reviewed_at = CURRENT_TIMESTAMP "
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"WHERE id = ?",
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(new_status, suggestion_id),
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)
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await db.commit()
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result["status"] = new_status
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return result
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