Promote develop → main (2026-05-01 14:09 UTC)

RELEASES.json

@@ -1,13 +1,4 @@
 [
-  {
-    "version": "2026-05-03T15:21Z",
-    "date": "2026-05-03",
-    "title": "Übersichtlichere Navigation in der Seitenleiste",
-    "items": [
-      "Schaltflächen in der Seitenleiste haben jetzt klarere Icons und kürzere Beschriftungen",
-      "Der Feedback-Button zeigt nun ein Brief-Symbol für bessere Erkennbarkeit"
-    ]
-  },
   {
     "version": "2026-04-30T23:12Z",
     "date": "2026-04-30",

requirements.txt

@@ -11,8 +11,4 @@ python-multipart
 aiosmtplib
 geonamescache>=2.0
 telethon
-# Bericht-Export (PDF via WeasyPrint + DOCX via python-docx)
-Jinja2>=3.1
-weasyprint>=68.0
-python-docx>=1.2
 pikepdf>=9.0

scripts/migrate_sources_classification.py

@@ -1,64 +0,0 @@
-"""Einmalige LLM-Klassifikation aller noch unklassifizierten Quellen.
-
-Verwendung:
-    python3 scripts/migrate_sources_classification.py --limit 50
-    python3 scripts/migrate_sources_classification.py --limit 500     # Alle
-    python3 scripts/migrate_sources_classification.py --recheck-pending  # bereits Pending neu
-
-Schreibt Vorschlaege in proposed_*-Spalten. Approval erfolgt anschliessend
-ueber das Verwaltungs-UI / API (POST /api/sources/{id}/classification/approve).
-"""
-import argparse
-import asyncio
-import logging
-import sys
-from pathlib import Path
-
-# src/ in PYTHONPATH aufnehmen, wenn Skript direkt aufgerufen wird
-HERE = Path(__file__).resolve().parent
-SRC = HERE.parent / "src"
-if str(SRC) not in sys.path:
-    sys.path.insert(0, str(SRC))
-
-from database import get_db  # noqa: E402
-from services.source_classifier import bulk_classify  # noqa: E402
-
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s [%(name)s] %(levelname)s: %(message)s",
-)
-logger = logging.getLogger("migrate_sources")
-
-
-async def main():
-    parser = argparse.ArgumentParser(description="LLM-Klassifikation aller Quellen.")
-    parser.add_argument("--limit", type=int, default=50, help="Max. Quellen pro Lauf")
-    parser.add_argument(
-        "--recheck-pending",
-        action="store_true",
-        help="Auch Quellen mit classification_source='llm_pending' neu klassifizieren",
-    )
-    args = parser.parse_args()
-
-    db = await get_db()
-    try:
-        result = await bulk_classify(
-            db,
-            limit=args.limit,
-            only_unclassified=not args.recheck_pending,
-        )
-    finally:
-        await db.close()
-
-    print(f"Verarbeitet: {result['processed']}")
-    print(f"Erfolgreich: {result['success']}")
-    print(f"Fehler:      {len(result['errors'])}")
-    print(f"Kosten:      ${result['total_cost_usd']:.4f}")
-    if result["errors"]:
-        print("\nFehler-Details:")
-        for e in result["errors"][:10]:
-            print(f"  source_id={e['source_id']}: {e['error']}")
-
-
-if __name__ == "__main__":
-    asyncio.run(main())

src/agents/analyzer.py

@@ -16,7 +16,7 @@ WICHTIG: Verwende IMMER echte UTF-8-Umlaute (ä, ö, ü, ß) — NIEMALS Umschre
 VORFALL: {title}
 KONTEXT: {description}
 
-{fact_context_block}VORHANDENE MELDUNGEN:
+VORHANDENE MELDUNGEN:
 {articles_text}
 
 AUFTRAG:
@@ -47,6 +47,7 @@ Antworte AUSSCHLIESSLICH als JSON-Objekt mit diesen Feldern:
 - "summary": Zusammenfassung auf {output_language} mit Quellenverweisen [1], [2] etc. im Text (Markdown-Überschriften ## erlaubt wenn sinnvoll, aber KEINE "## ZUSAMMENFASSUNG"/"## ÜBERBLICK"-Sektion)
 - "sources": Array von Quellenobjekten, je: {{"nr": 1, "name": "Quellenname", "url": "https://..."}}
 - "key_facts": Array von bestätigten Kernfakten (Strings, in Ausgabesprache)
+- "translations": Array von Objekten mit "article_id", "headline_de", "content_de" (nur für fremdsprachige Artikel)
 
 Antworte NUR mit dem JSON-Objekt. Keine Einleitung, keine Erklärung."""
 
@@ -59,7 +60,7 @@ WICHTIG: Verwende IMMER echte UTF-8-Umlaute (ä, ö, ü, ß) — NIEMALS Umschre
 THEMA: {title}
 KONTEXT: {description}
 
-{fact_context_block}VORLIEGENDE QUELLEN:
+VORLIEGENDE QUELLEN:
 {articles_text}
 
 AUFTRAG:
@@ -101,6 +102,7 @@ Antworte AUSSCHLIESSLICH als JSON-Objekt mit diesen Feldern:
 - "summary": Das strukturierte Briefing als Markdown-Text mit Quellenverweisen [1], [2] etc.
 - "sources": Array von Quellenobjekten, je: {{"nr": 1, "name": "Quellenname", "url": "https://..."}}
 - "key_facts": Array von gesicherten Kernfakten (Strings, in Ausgabesprache)
+- "translations": Array von Objekten mit "article_id", "headline_de", "content_de" (nur für fremdsprachige Artikel)
 
 Antworte NUR mit dem JSON-Objekt. Keine Einleitung, keine Erklärung."""
 
@@ -118,7 +120,7 @@ BISHERIGES LAGEBILD:
 BISHERIGE QUELLEN:
 {previous_sources_text}
 
-{fact_context_block}NEUE MELDUNGEN SEIT DEM LETZTEN UPDATE:
+NEUE MELDUNGEN SEIT DEM LETZTEN UPDATE:
 {new_articles_text}
 
 AUFTRAG:
@@ -147,6 +149,7 @@ Antworte AUSSCHLIESSLICH als JSON-Objekt mit diesen Feldern:
 - "summary": Aktualisierte Zusammenfassung mit Quellenverweisen [1], [2] etc.
 - "sources": Array mit NUR den NEUEN Quellen aus den neuen Meldungen, je: {{"nr": <fortlaufende ganze Zahl, KEINE Buchstaben-Suffixe>, "name": "Quellenname", "url": "https://..."}}. Alte Quellen werden automatisch gemerged.
 - "key_facts": Array aller aktuellen Kernfakten (in Ausgabesprache)
+- "translations": Array von Objekten mit "article_id", "headline_de", "content_de" (nur für neue fremdsprachige Artikel)
 
 Antworte NUR mit dem JSON-Objekt. Keine Einleitung, keine Erklärung."""
 
@@ -165,7 +168,7 @@ BISHERIGES BRIEFING:
 BISHERIGE QUELLEN:
 {previous_sources_text}
 
-{fact_context_block}NEUE QUELLEN SEIT DEM LETZTEN UPDATE:
+NEUE QUELLEN SEIT DEM LETZTEN UPDATE:
 {new_articles_text}
 
 AUFTRAG:
@@ -198,6 +201,7 @@ Antworte AUSSCHLIESSLICH als JSON-Objekt mit diesen Feldern:
 - "summary": Das aktualisierte Briefing als Markdown-Text mit Quellenverweisen
 - "sources": Array mit NUR den NEUEN Quellen aus den neuen Meldungen, je: {{"nr": <fortlaufende ganze Zahl, KEINE Buchstaben-Suffixe>, "name": "Quellenname", "url": "https://..."}}. Alte Quellen werden automatisch gemerged.
 - "key_facts": Array aller gesicherten Kernfakten (in Ausgabesprache)
+- "translations": Array von Objekten mit "article_id", "headline_de", "content_de" (nur für neue fremdsprachige Artikel)
 
 Antworte NUR mit dem JSON-Objekt. Keine Einleitung, keine Erklärung."""
 
@@ -264,112 +268,6 @@ Antworte AUSSCHLIESSLICH als JSON-Objekt — KEINE Erklärung, KEINE Einleitung:
 {{"relevant_ids": [1, 3, 7]}}"""
 
 
-
-
-# Status-Gruppen fuer den Fakten-Kontext im Analyse-Prompt.
-# adhoc nutzt confirmed/unconfirmed/contradicted/developing,
-# research nutzt established/unverified/disputed/developing — beide Domaenen
-# werden in dieselben vier Anzeige-Gruppen abgebildet.
-_FACT_STATUS_GROUPS = [
-    ("Bestätigt (mehrere unabhängige Quellen oder durch Faktencheck als gesichert eingestuft):",
-     {"confirmed", "established"}),
-    ("Umstritten (Quellen widersprechen sich oder Faktencheck hat Widersprüche dokumentiert):",
-     {"contradicted", "disputed"}),
-    ("Unbestätigt (nur eine einzelne Quelle, eine unabhängige Bestätigung steht aus):",
-     {"unconfirmed", "unverified"}),
-    ("In Entwicklung (laufender Sachverhalt, Stand offen):",
-     {"developing"}),
-]
-
-_FACT_STATUS_PRIORITY = {
-    "confirmed": 5, "established": 5,
-    "contradicted": 4, "disputed": 4,
-    "unconfirmed": 3, "unverified": 3,
-    "developing": 1,
-}
-
-
-def build_fact_context_block(
-    existing_facts: list[dict] | None,
-    new_or_updated_facts: list[dict] | None,
-    incident_type: str,
-    max_total: int = 20,
-) -> str:
-    """Baut den 'GEPRUEFTE FAKTEN'-Block fuer den Analyse-Prompt.
-
-    Wird vom Orchestrator zwischen Faktencheck und Lagebild aufgerufen, damit
-    das Lagebild auf gepruefter Faktenbasis schreibt und Unklarheiten explizit
-    benennt. Bei leerer Faktenliste wird ein leerer String zurueckgegeben — der
-    Prompt laeuft dann ohne Fakten-Kontext (Fallback bei Faktencheck-Fail oder
-    bei Lagen ohne bisherige Fakten).
-    """
-    existing_facts = existing_facts or []
-    new_or_updated_facts = new_or_updated_facts or []
-    if not existing_facts and not new_or_updated_facts:
-        return ""
-
-    seen_claims: set[str] = set()
-    merged: list[dict] = []
-    # Neue/aktualisierte Fakten zuerst (Status ist aktueller Stand).
-    for f in new_or_updated_facts:
-        c = (f.get("claim") or "").strip().lower()
-        if not c or c in seen_claims:
-            continue
-        seen_claims.add(c)
-        merged.append(f)
-    # Dann alte unveraenderte Fakten.
-    for f in existing_facts:
-        c = (f.get("claim") or "").strip().lower()
-        if not c or c in seen_claims:
-            continue
-        seen_claims.add(c)
-        merged.append(f)
-
-    if not merged:
-        return ""
-
-    merged.sort(key=lambda f: (
-        -_FACT_STATUS_PRIORITY.get((f.get("status") or "").lower(), 0),
-        -(f.get("sources_count") or 0),
-    ))
-    merged = merged[:max_total]
-
-    grouped: dict[str, list[dict]] = {label: [] for label, _ in _FACT_STATUS_GROUPS}
-    for f in merged:
-        s = (f.get("status") or "").lower()
-        for label, codes in _FACT_STATUS_GROUPS:
-            if s in codes:
-                grouped[label].append(f)
-                break
-
-    if not any(grouped.values()):
-        return ""
-
-    lines: list[str] = []
-    lines.append("GEPRÜFTE FAKTEN (Stand nach dem Faktencheck dieses Refresh, max. {n} priorisiert):".format(n=max_total))
-    for label, _codes in _FACT_STATUS_GROUPS:
-        items = grouped[label]
-        if not items:
-            continue
-        lines.append("")
-        lines.append(label)
-        for f in items:
-            claim = (f.get("claim") or "").strip()
-            sc = f.get("sources_count") or 0
-            sc_text = f" ({sc} {'Quellen' if sc != 1 else 'Quelle'})" if sc else ""
-            lines.append(f"- {claim}{sc_text}")
-
-    lines.append("")
-    lines.append("AUSSAGE-DISZIPLIN für das Lagebild:")
-    lines.append("- Bestätigte Fakten als Grundgerüst nehmen, ohne Hedging.")
-    lines.append("- Umstrittene Punkte explizit als umstritten kennzeichnen, beide Seiten knapp benennen.")
-    lines.append("- Unbestätigtes klar einordnen ('Eine einzelne Quelle berichtet ...', 'Eine unabhängige Bestätigung steht aus.').")
-    lines.append("- Bei Aussagen, die durch keinen geprüften Fakt gedeckt sind und auch nicht direkt aus einer der vorliegenden Meldungen hervorgehen: NICHT spekulieren — entweder weglassen oder als unklar kennzeichnen.")
-    lines.append("- Triff KEINE Aussagen, die mit den oben gelisteten geprüften Fakten in Widerspruch stehen.")
-    lines.append("")
-    return "\n".join(lines)
-
-
 class AnalyzerAgent:
     """Analysiert und übersetzt Meldungen über Claude CLI."""
 
@@ -396,7 +294,7 @@ class AnalyzerAgent:
                 articles_text += f"Inhalt: {content[:800]}\n"
         return articles_text
 
-    async def analyze(self, title: str, description: str, articles: list[dict], incident_type: str = "adhoc", fact_context_block: str = "") -> tuple[dict | None, ClaudeUsage | None]:
+    async def analyze(self, title: str, description: str, articles: list[dict], incident_type: str = "adhoc") -> tuple[dict | None, ClaudeUsage | None]:
         """Erstanalyse: Analysiert alle Meldungen zu einem Vorfall (erster Refresh)."""
         if not articles:
             return None, None
@@ -412,7 +310,6 @@ class AnalyzerAgent:
             articles_text=articles_text,
             today=today,
             output_language=OUTPUT_LANGUAGE,
-            fact_context_block=fact_context_block,
         )
 
         try:
@@ -434,7 +331,6 @@ class AnalyzerAgent:
         previous_summary: str,
         previous_sources_json: str | None,
         incident_type: str = "adhoc",
-        fact_context_block: str = "",
     ) -> tuple[dict | None, ClaudeUsage | None]:
         """Inkrementelle Analyse: Aktualisiert das Lagebild mit nur den neuen Artikeln.
 
@@ -477,7 +373,6 @@ class AnalyzerAgent:
             new_articles_text=new_articles_text,
             today=today,
             output_language=OUTPUT_LANGUAGE,
-            fact_context_block=fact_context_block,
         )
 
         try:
@@ -901,5 +796,5 @@ class AnalyzerAgent:
             except json.JSONDecodeError:
                 pass
 
-        return {"summary": summary, "sources": sources, "key_facts": []}
+        return {"summary": summary, "sources": sources, "key_facts": [], "translations": []}
 

src/agents/orchestrator.py

@@ -21,21 +21,15 @@ from source_rules import (
 
 logger = logging.getLogger("osint.orchestrator")
 
-# Reputations-Score nach Quellenkategorie (fuer Relevanz-Scoring).
-# Keys muessen mit den tatsaechlichen DB-Werten in sources.category uebereinstimmen
-# (siehe DOMAIN_CATEGORY_MAP in source_rules.py).
+# Reputations-Score nach Quellenkategorie (für Relevanz-Scoring)
 CATEGORY_REPUTATION = {
-    "nachrichtenagentur":    1.0,   # Reuters, AP, dpa, AFP — Primärquellen
-    "behoerde":              1.0,   # BMI, BSI, Europol — offizielle Quellen
-    "oeffentlich-rechtlich": 0.95,  # tagesschau, ZDF, ARD, BBC, ORF
-    "qualitaetszeitung":     0.85,  # Spiegel, Zeit, FAZ, NZZ, Süddeutsche
-    "think-tank":            0.85,  # SWP, IISS, Brookings, Chatham House
-    "fachmedien":            0.8,   # heise, golem, netzpolitik, Handelsblatt
-    "international":         0.75,  # CNN, Guardian, NYT, Al Jazeera, France24
-    "regional":              0.65,  # regionale Tageszeitungen
-    "telegram":              0.5,   # OSINT-Kanaele — gemischte Qualitaet
-    "sonstige":              0.4,   # unkategorisiert
-    "boulevard":             0.3,   # Bild, Sun etc.
+    "nachrichten_de": 0.9,
+    "nachrichten_int": 0.9,
+    "presseagenturen": 1.0,
+    "behoerden": 1.0,
+    "fachmedien": 0.8,
+    "international": 0.7,
+    "sonstige": 0.4,
 }
 
 # Research-Modus: Automatisch 3 Durchläufe für optimale Ergebnisse
@@ -489,9 +483,6 @@ class AgentOrchestrator:
 
             logger.info(f"Lage {incident_id} aus Warteschlange entfernt (removed={removed})")
 
-            # refresh_log-Eintrag schreiben, damit Auto-Refresh nicht im naechsten Tick erneut einreiht
-            await self._log_queued_cancellation(incident_id)
-
             # Send cancelled event
             if self._ws_manager:
                 try:
@@ -627,59 +618,21 @@ class AgentOrchestrator:
                 self._queue.task_done()
 
     async def _mark_refresh_cancelled(self, incident_id: int):
-        """Markiert den laufenden Refresh-Log-Eintrag als cancelled und schliesst
-        alle noch aktiven Pipeline-Schritte. Ohne den zweiten Schritt blieb der
-        zuletzt aktive Step-Eintrag verwaist und das Frontend zeigte dauerhaft
-        'Schritt X laeuft', weil /api/incidents/<id>/pipeline aus
-        refresh_pipeline_steps liest."""
+        """Markiert den laufenden Refresh-Log-Eintrag als cancelled."""
         from database import get_db
-        from services.pipeline_tracker import cancel_active_steps
         db = await get_db()
         try:
-            now_str = datetime.now(TIMEZONE).strftime('%Y-%m-%d %H:%M:%S')
-            cur = await db.execute(
-                "SELECT id FROM refresh_log WHERE incident_id = ? AND status = 'running'",
-                (incident_id,),
-            )
-            row = await cur.fetchone()
-            refresh_log_id = row["id"] if row else None
-
             await db.execute(
                 """UPDATE refresh_log SET status = 'cancelled', error_message = 'Vom Nutzer abgebrochen',
                    completed_at = ? WHERE incident_id = ? AND status = 'running'""",
-                (now_str, incident_id),
+                (datetime.now(TIMEZONE).strftime('%Y-%m-%d %H:%M:%S'), incident_id),
             )
             await db.commit()
-
-            if refresh_log_id is not None:
-                await cancel_active_steps(db, refresh_log_id=refresh_log_id)
         except Exception as e:
             logger.warning(f"Konnte Refresh-Log nicht als abgebrochen markieren: {e}")
         finally:
             await db.close()
 
-    async def _log_queued_cancellation(self, incident_id: int):
-        """Schreibt einen cancelled-Eintrag fuer einen Queue-Abbruch (Lage war noch nicht laufend).
-        Verhindert, dass der Auto-Refresh-Scheduler im naechsten Tick sofort wieder einreiht."""
-        from database import get_db
-        db = await get_db()
-        try:
-            cur = await db.execute("SELECT tenant_id FROM incidents WHERE id = ?", (incident_id,))
-            row = await cur.fetchone()
-            tid = row["tenant_id"] if row else None
-            now_str = datetime.now(TIMEZONE).strftime("%Y-%m-%d %H:%M:%S")
-            await db.execute(
-                """INSERT INTO refresh_log (incident_id, started_at, completed_at, status,
-                   trigger_type, error_message, tenant_id)
-                   VALUES (?, ?, ?, 'cancelled', 'manual', 'Aus Warteschlange entfernt', ?)""",
-                (incident_id, now_str, now_str, tid),
-            )
-            await db.commit()
-        except Exception as e:
-            logger.warning(f"Konnte Queue-Cancel nicht in refresh_log loggen: {e}")
-        finally:
-            await db.close()
-
     async def _mark_refresh_failed(self, incident_id: int, error: str):
         """Markiert den laufenden Refresh-Log-Eintrag als error."""
         from database import get_db
@@ -891,7 +844,7 @@ class AgentOrchestrator:
                 return articles, feed_usage
 
             async def _web_search_pipeline():
-                """Claude WebSearch-Recherche mit Vorselektion eingetragener Web-Quellen."""
+                """Claude WebSearch-Recherche."""
                 researcher = ResearcherAgent()
                 # Bestehende Artikel als Kontext mitgeben (Research + Adhoc)
                 existing_for_context = None
@@ -902,31 +855,13 @@ class AgentOrchestrator:
                          "source_url": row["source_url"]}
                         for row in existing_db_articles_full
                     ]
-
-                # Web-Quellen vorselektieren (Haiku) — nur thematisch passende werden Claude im Prompt empfohlen
-                preferred_sources = []
-                try:
-                    from source_rules import get_feeds_with_metadata
-                    web_sources = await get_feeds_with_metadata(tenant_id=tenant_id, source_type="web_source")
-                    if web_sources:
-                        preferred_sources, web_sel_usage = await researcher.select_relevant_web_sources(
-                            title, description, web_sources,
-                        )
-                        if web_sel_usage:
-                            usage_acc.add(web_sel_usage)
-                except Exception as e:
-                    logger.warning(f"Web-Source-Vorselektion fehlgeschlagen (Pipeline laeuft weiter): {e}")
-                    preferred_sources = []
-
                 results, usage, parse_failed = await researcher.search(
                     title, description, incident_type,
                     international=international, user_id=user_id,
                     existing_articles=existing_for_context,
-                    preferred_sources=preferred_sources,
                 )
                 logger.info(
                     f"Claude-Recherche: {len(results)} Ergebnisse"
-                    + (f" (mit {len(preferred_sources)} Web-Quellen-Hinweis)" if preferred_sources else "")
                     + (" (Parser fehlgeschlagen)" if parse_failed else "")
                 )
                 return results, usage, parse_failed
@@ -1299,22 +1234,18 @@ class AgentOrchestrator:
                 except Exception as e:
                     logger.warning("Bias-Anreicherung fehlgeschlagen (Pipeline laeuft weiter): %s", e)
 
-                # --- Analyse-Task (wird nach _do_factcheck mit fact_context_block aufgerufen) ---
-                async def _do_analysis(fact_context_block: str = ""):
+                # --- Analyse-Task ---
+                async def _do_analysis():
                     analyzer = AnalyzerAgent()
                     if previous_summary and new_count > 0:
                         logger.info(f"Inkrementelle Analyse: {new_count} neue Artikel zum bestehenden Lagebild")
                         return await analyzer.analyze_incremental(
                             title, description, new_articles_for_analysis,
                             previous_summary, previous_sources_json, incident_type,
-                            fact_context_block=fact_context_block,
                         )
                     else:
                         logger.info("Erstanalyse: Alle Artikel werden analysiert")
-                        return await analyzer.analyze(
-                            title, description, all_articles_preloaded, incident_type,
-                            fact_context_block=fact_context_block,
-                        )
+                        return await analyzer.analyze(title, description, all_articles_preloaded, incident_type)
 
                 # --- Faktencheck-Task ---
                 async def _do_factcheck():
@@ -1348,61 +1279,20 @@ class AgentOrchestrator:
                             articles_for_check = [dict(row) for row in await cursor.fetchall()]
                         return await factchecker.check(title, articles_for_check, incident_type)
 
-                # Pipeline-Schritt 6: Faktencheck zuerst (sequenziell). Liefert den
-                # Faktenkontext fuer das Lagebild, damit dieses auf geprueftem Stand
-                # schreibt und Unklarheiten explizit benennt. Variante 1: bei
-                # Faktencheck-Fehler faellt das Lagebild auf den alten Pfad ohne
-                # Faktenkontext zurueck (Refresh bricht NICHT ab).
-                await _pipe_start("factcheck")
-                factcheck_result: tuple = ([], None)
-                fact_context_block = ""
-                factcheck_failed_reason: str | None = None
-                try:
-                    factcheck_result = await _do_factcheck()
-                except Exception as fc_err:
-                    factcheck_failed_reason = str(fc_err)
-                    logger.warning(
-                        "Faktencheck fehlgeschlagen, Lagebild laeuft ohne Faktenkontext: %s",
-                        fc_err, exc_info=True,
-                    )
-
-                fact_checks, fc_usage = factcheck_result if factcheck_result else ([], None)
-
-                # Pipeline-Schritt 6 done direkt nach dem Aufruf — die finale
-                # DB-Persistierung passiert weiter unten, aber fuer die UI ist
-                # der Faktencheck-Aufruf hier abgeschlossen. Der count_value
-                # ist eine Schaetzung (echte Zahl steht spaeter in der DB).
-                _fc_estimated_new = max(0, len(fact_checks or []) - len(existing_facts or []))
-                await _pipe_done(
-                    "factcheck",
-                    count_value=_fc_estimated_new,
-                    count_secondary=len(fact_checks) if fact_checks else 0,
-                )
-
-                # Faktenkontext fuer das Lagebild bauen.
-                try:
-                    from agents.analyzer import build_fact_context_block as _build_fc_ctx
-                    fact_context_block = _build_fc_ctx(
-                        existing_facts or [], fact_checks or [], incident_type,
-                    )
-                    if fact_context_block:
-                        logger.info(
-                            "Faktenkontext fuer Lagebild: %d Zeichen, basierend auf %d alten + %d neuen Fakten",
-                            len(fact_context_block), len(existing_facts or []), len(fact_checks or []),
-                        )
-                except Exception as ctx_err:
-                    logger.warning("build_fact_context_block fehlgeschlagen: %s", ctx_err, exc_info=True)
-                    fact_context_block = ""
-
-                # Pipeline-Schritt 7: Lagebild verfassen (jetzt mit Faktenkontext)
+                # Pipeline-Schritte 6+7: Lagebild verfassen + Fakten prüfen (Start, parallel)
                 await _pipe_start("summary")
-                logger.info(
-                    "Starte Lagebild (sequenziell nach Faktencheck%s)",
-                    " — OHNE Faktenkontext (Fallback)" if factcheck_failed_reason else "",
+                await _pipe_start("factcheck")
+
+                # Beide Tasks PARALLEL starten
+                logger.info("Starte Analyse und Faktencheck parallel...")
+                analysis_result, factcheck_result = await asyncio.gather(
+                    _do_analysis(),
+                    _do_factcheck(),
                 )
-                analysis_result = await _do_analysis(fact_context_block)
 
                 analysis, analysis_usage = analysis_result
+                fact_checks, fc_usage = factcheck_result
+                # Pipeline-Schritt 6: Lagebild verfassen (fertig, keine Zahl, nur Status)
                 await _pipe_done("summary", count_value=None, count_secondary=None)
 
                 # --- Analyse-Ergebnisse verarbeiten ---
@@ -1496,64 +1386,20 @@ class AgentOrchestrator:
                              snap_articles, snap_fcs, log_id, now, tenant_id),
                         )
 
-                    # Translations werden vom dedizierten Translator-Agent unten
-                    # erzeugt (frueher inline im Analyzer-Output, das war token-
-                    # instabil und schaetzte regelmaessig content_de aus).
+                    # Übersetzungen aktualisieren (nur für gültige DB-IDs)
+                    for translation in analysis.get("translations", []):
+                        article_id = translation.get("article_id")
+                        if isinstance(article_id, int):
+                            await db.execute(
+                                "UPDATE articles SET headline_de = ?, content_de = ? WHERE id = ? AND incident_id = ?",
+                                (translation.get("headline_de"), translation.get("content_de"), article_id, incident_id),
+                            )
 
                     await db.commit()
 
                 # Cancel-Check nach paralleler Verarbeitung
                 self._check_cancelled(incident_id)
 
-                # --- Translator (Haiku) fuer fremdsprachige Artikel ohne DE-Texte ---
-                # Idempotent: nur Artikel ohne headline_de/content_de werden geholt.
-                # Lauft nach der Analyse (Lagebild ist schon committed) und vor QC
-                # (damit normalize_umlaut_articles auch die frischen DE-Texte fasst).
-                try:
-                    tr_cursor = await db.execute(
-                        """SELECT id, headline, content_original, language
-                           FROM articles
-                           WHERE incident_id = ?
-                             AND language IS NOT NULL AND LOWER(language) != 'de'
-                             AND (headline_de IS NULL OR headline_de = ''
-                                  OR content_de IS NULL OR content_de = '')""",
-                        (incident_id,),
-                    )
-                    pending_translations = [dict(r) for r in await tr_cursor.fetchall()]
-                    if pending_translations:
-                        logger.info(
-                            "Translator fuer Incident %d: %d Artikel ohne DE-Uebersetzung",
-                            incident_id, len(pending_translations),
-                        )
-                        from agents.translator import translate_articles
-                        from services.post_refresh_qc import normalize_german_umlauts as _norm_de2
-                        translations = await translate_articles(
-                            pending_translations,
-                            output_lang="de",
-                            usage_accumulator=usage_acc,
-                        )
-                        for t in translations:
-                            hd = t.get("headline_de")
-                            cd = t.get("content_de")
-                            if hd:
-                                hd, _ = _norm_de2(hd)
-                            if cd:
-                                cd, _ = _norm_de2(cd)
-                            if hd or cd:
-                                await db.execute(
-                                    "UPDATE articles SET headline_de = COALESCE(?, headline_de), "
-                                    "content_de = COALESCE(?, content_de) WHERE id = ? AND incident_id = ?",
-                                    (hd, cd, t["id"], incident_id),
-                                )
-                        await db.commit()
-                        logger.info(
-                            "Translator fuer Incident %d: %d/%d Artikel uebersetzt",
-                            incident_id, len(translations), len(pending_translations),
-                        )
-                except Exception as e:
-                    logger.error("Translator-Fehler fuer Incident %d: %s", incident_id, e, exc_info=True)
-                    # Refresh trotz Translator-Fehler weiterlaufen lassen
-
                 # --- Neueste Entwicklungen (nur Live-Monitoring / adhoc) ---
                 # Basis ist jetzt das frisch generierte Lagebild (autoritativ, thematisch sauber).
                 # Zeitstempel und Quellen kommen aus den jüngsten belegenden Artikeln.
@@ -1701,10 +1547,9 @@ class AgentOrchestrator:
 
                 await db.commit()
 
-                # Pipeline-Schritt 7 (Fakten pruefen) wurde bereits frueher als done
-                # markiert (siehe weiter oben — direkt nach dem _do_factcheck-Aufruf,
-                # bevor das Lagebild generiert wurde). Hier nur noch die DB-
-                # Persistierung der Fakten, ohne den Step erneut zu schliessen.
+                # Pipeline-Schritt 7: Fakten prüfen (fertig)
+                _new_facts_count = max(0, len(fact_checks) - len(existing_facts))
+                await _pipe_done("factcheck", count_value=_new_facts_count, count_secondary=len(fact_checks) if fact_checks else 0)
 
                 # Pipeline-Schritt 8: Qualitätscheck (Start, ohne Zahlen)
                 await _pipe_start("qc")

src/agents/researcher.py

@@ -69,7 +69,7 @@ WICHTIG: Verwende IMMER echte UTF-8-Umlaute (ä, ö, ü, ß) — NIEMALS Umschre
 AUFTRAG: Suche nach aktuellen Informationen zu folgendem Vorfall:
 Titel: {title}
 Kontext: {description}
-{existing_context}{preferred_sources_block}
+{existing_context}
 REGELN:
 - Suche nur bei seriösen Nachrichtenquellen (Nachrichtenagenturen, Qualitätszeitungen, öffentlich-rechtliche Medien, Behörden)
 - KEIN Social Media (Twitter/X, Facebook, Instagram, TikTok, Reddit)
@@ -77,7 +77,7 @@ REGELN:
 {language_instruction}
 - Faktenbasiert und neutral - keine Spekulationen
 - KRITISCH für source_url: Kopiere die EXAKTE URL aus den WebSearch-Ergebnissen. Erfinde oder konstruiere NIEMALS URLs aus Mustern oder Erinnerung. Wenn du die exakte URL eines Artikels nicht aus den Suchergebnissen hast, lass diesen Artikel komplett weg.
-- Nutze removepaywall.com für Paywall-geschützte Artikel (z.B. Spiegel+, Zeit+, SZ+): https://www.removepaywall.com/search?url=ARTIKEL_URL
+- Nutze removepaywalls.com für Paywall-geschützte Artikel (z.B. Spiegel+, Zeit+, SZ+): https://www.removepaywalls.com/search?url=ARTIKEL_URL
 - Nutze WebFetch um die 3-5 wichtigsten Artikel vollständig abzurufen und zusammenzufassen
 
 Gib die Ergebnisse AUSSCHLIESSLICH als JSON-Array zurück, ohne Erklärungen davor oder danach.
@@ -100,7 +100,7 @@ WICHTIG: Verwende IMMER echte UTF-8-Umlaute (ä, ö, ü, ß) — NIEMALS Umschre
 AUFTRAG: Führe eine umfassende, mehrstufige Hintergrundrecherche durch zu:
 Titel: {title}
 Kontext: {description}
-{existing_context}{preferred_sources_block}
+{existing_context}
 RECHERCHE IN 4 PHASEN — Führe ALLE Phasen nacheinander durch:
 
 PHASE 1 — BREITE ERFASSUNG:
@@ -124,7 +124,7 @@ Nutze spezifische Suchbegriffe für institutionelle Quellen. Ziel: 6-10 weitere
 PHASE 4 — VERIFIKATION UND VERTIEFUNG:
 Nutze WebFetch um die 6-10 wichtigsten Artikel vollständig abzurufen und ausführlich zusammenzufassen.
 Priorisiere dabei Primärquellen und investigative Berichte.
-Nutze removepaywall.com für Paywall-geschützte Artikel (z.B. https://www.removepaywall.com/search?url=ARTIKEL_URL)
+Nutze removepaywalls.com für Paywall-geschützte Artikel (z.B. https://www.removepaywalls.com/search?url=ARTIKEL_URL)
 
 {language_instruction}
 
@@ -199,45 +199,19 @@ AKTUELLE HEADLINES (die letzten Meldungen zu diesem Thema):
 
 AUFGABE:
 Generiere 5 Begriffspaare (DE + EN), mit denen neue RSS-Artikel zu diesem Thema gefunden werden.
-Ein Artikel gilt als relevant, wenn mindestens 2 dieser Begriffe im Titel oder der Beschreibung vorkommen
-- bei spezifischen Begriffen (Eigennamen, lange Begriffe ab 7 Zeichen) reicht 1 Treffer.
+Ein Artikel gilt als relevant, wenn mindestens 2 dieser Begriffe im Titel oder der Beschreibung vorkommen.
 
 REGELN:
-- ZWINGEND: Eigennamen oder spezifische Begriffe aus dem THEMA (z.B. Personennamen, Tiernamen,
-  Ortsnamen wie "timmy", "buckelwal", "merz", "dobrindt") MUESSEN als eigene Begriffspaare
-  enthalten sein. Solche Begriffe sind oft das einzige, was in kurzen Headlines vorkommt.
-- Die ersten 2 Begriffspaare sind die zentralen Akteure/Laender/Themen (z.B. iran, israel,
-  buckelwal, timmy) — also die Begriffe, die in fast JEDEM Artikel zum Thema vorkommen.
-- Die uebrigen 3 Begriffspaare sind aktuelle Entwicklungen aus den Headlines (Orte, Akteure,
-  Schluesselwoerter der aktuellen Phase).
-- Wenn DE und EN identisch sind (Eigennamen), trotzdem das Paar einreichen.
-- Begriffe muessen so gewaehlt sein, dass sie in kurzen RSS-Titeln matchen (einzelne Woerter,
-  keine Phrasen, keine Konjunktionen).
-- Alle Begriffe in Kleinbuchstaben.
-- Exakt 5 Begriffspaare.
+- Die ersten 2 Begriffspaare MUESSEN die zentralen Akteure/Laender/Themen sein (z.B. iran, israel, usa) — also die Begriffe, die in fast JEDEM Artikel zum Thema vorkommen
+- Die letzten 3 Begriffspaare sind aktuelle Entwicklungen aus den Headlines (Orte, Akteure, Schluesselwoerter der aktuellen Phase)
+- Begriffe muessen so gewaehlt sein, dass sie in kurzen RSS-Titeln matchen (einzelne Woerter, keine Phrasen)
+- Alle Begriffe in Kleinbuchstaben
+- Exakt 5 Begriffspaare
 
 Antwort NUR als JSON-Array:
 [{{"de": "iran", "en": "iran"}}, {{"de": "israel", "en": "israel"}}, {{"de": "teheran", "en": "tehran"}}, {{"de": "luftangriff", "en": "airstrike"}}, {{"de": "trump", "en": "trump"}}]"""
 
 
-WEB_SOURCE_SELECTION_PROMPT = """Du bist ein OSINT-Analyst. Pruefe diese eingetragenen Web-Quellen und waehle nur die thematisch passenden aus.
-
-LAGE: {title}
-KONTEXT: {description}
-
-WEB-QUELLEN:
-{source_list}
-
-REGELN:
-- Waehle nur Quellen, die thematisch tatsaechlich zur Lage passen
-- Lieber leere Liste zurueckgeben als pauschal alle aufnehmen
-- Behoerden- und institutionelle Quellen sind oft hochwertig, aber nur wenn das Thema passt
-- Petitions-Plattformen z.B. nur bei Lagen zu Buergerinitiativen, Gesetzen, oeffentlichem Druck
-- Bei reinen Kriegs-/Konflikt-/Tagesnachrichten meistens leere Liste
-
-Antworte NUR mit einem JSON-Array der Quellen-Nummern, z.B. [1, 3] oder []."""
-
-
 TELEGRAM_CHANNEL_SELECTION_PROMPT = """Du bist ein OSINT-Analyst. Waehle aus dieser Liste von Telegram-Kanaelen diejenigen aus, die fuer die Lage relevant sein koennten.
 
 LAGE: {title}
@@ -373,17 +347,6 @@ class ResearcherAgent:
                 if en and en != de:
                     keywords.append(en)
 
-            # Bug-2-Fallback: Lagentitel-Wörter (>=4 Zeichen) zwingend in Keyword-Liste,
-            # falls Haiku sie weggelassen hat. Verhindert "Buckelwal timmy"-Bug, bei dem
-            # der Eigenname "timmy" fehlte und damit Headlines mit nur "Buckelwal" durchfielen.
-            STOPWORDS = {"der", "die", "das", "und", "oder", "von", "vom", "zum", "zur",
-                         "the", "and", "for", "with", "ueber", "über", "von", "for"}
-            for word in (title or "").lower().split():
-                w = word.strip(".,;:!?\"\'()[]{}")
-                if len(w) >= 4 and w not in STOPWORDS and w not in keywords:
-                    keywords.append(w)
-                    logger.info(f"Lagentitel-Keyword '{w}' nachträglich injiziert")
-
             if keywords:
                 logger.info(f"Dynamische Keywords ({len(keywords)}): {keywords}")
             return keywords if keywords else None, usage
@@ -392,7 +355,7 @@ class ResearcherAgent:
             logger.warning(f"Keyword-Extraktion fehlgeschlagen: {e}")
             return None, None
 
-    async def search(self, title: str, description: str = "", incident_type: str = "adhoc", international: bool = True, user_id: int = None, existing_articles: list[dict] = None, preferred_sources: list[dict] = None) -> tuple[list[dict], ClaudeUsage | None, bool]:
+    async def search(self, title: str, description: str = "", incident_type: str = "adhoc", international: bool = True, user_id: int = None, existing_articles: list[dict] = None) -> tuple[list[dict], ClaudeUsage | None, bool]:
         """Sucht nach Informationen zu einem Vorfall.
 
         Returns:
@@ -401,26 +364,6 @@ class ResearcherAgent:
             "echt keine Treffer" und "kaputte Antwort" unterscheiden.
         """
         from config import OUTPUT_LANGUAGE
-
-        # Bevorzugte Web-Quellen als Prompt-Block (optional)
-        preferred_sources_block = ""
-        if preferred_sources:
-            ps_lines = []
-            for s in preferred_sources:
-                domain = s.get("domain", "")
-                name = s.get("name", domain) or domain
-                if not domain:
-                    continue
-                ps_lines.append(f"- {domain} ({name})")
-            if ps_lines:
-                preferred_sources_block = (
-                    "\nEINGETRAGENE WEB-QUELLEN (vom Betreiber als seriös markiert):\n"
-                    + "\n".join(ps_lines) + "\n"
-                    "EMPFEHLUNG: Wenn diese Domains thematisch zur Lage passen, suche dort gezielt "
-                    "mit \"site:domain [Suchbegriff]\". Sie sind vertrauenswuerdig eingetragen, ersetzen "
-                    "aber nicht deine sonstige Recherche.\n"
-                )
-
         if incident_type == "research":
             lang_instruction = LANG_DEEP_INTERNATIONAL if international else LANG_DEEP_GERMAN_ONLY
             # Bestehende Artikel als Kontext für den Prompt aufbereiten
@@ -440,7 +383,6 @@ class ResearcherAgent:
             prompt = DEEP_RESEARCH_PROMPT_TEMPLATE.format(
                 title=title, description=description, language_instruction=lang_instruction,
                 output_language=OUTPUT_LANGUAGE, existing_context=existing_context,
-                preferred_sources_block=preferred_sources_block,
             )
         else:
             lang_instruction = LANG_INTERNATIONAL if international else LANG_GERMAN_ONLY
@@ -459,7 +401,6 @@ class ResearcherAgent:
             prompt = RESEARCH_PROMPT_TEMPLATE.format(
                 title=title, description=description, language_instruction=lang_instruction,
                 output_language=OUTPUT_LANGUAGE, existing_context=existing_context,
-                preferred_sources_block=preferred_sources_block,
             )
 
         try:
@@ -573,67 +514,6 @@ class ResearcherAgent:
         )
         raise ResearcherParseError(f"Claude-Antwort enthielt kein verwertbares JSON (Laenge: {len(text)})")
 
-    async def select_relevant_web_sources(
-        self,
-        title: str,
-        description: str,
-        web_sources: list[dict],
-    ) -> tuple[list[dict], ClaudeUsage | None]:
-        """Laesst Claude die thematisch passenden Web-Quellen auswaehlen (Haiku).
-
-        Returns:
-            (ausgewaehlte Quellen, usage). Bei Fehler: ([], None).
-            Leere Auswahl ist explizit erlaubt — keine Quelle wird zwangsweise aufgenommen.
-        """
-        if not web_sources:
-            return [], None
-
-        # Bei sehr wenigen Quellen lohnt der Selektions-Call kaum — alle weiterreichen.
-        if len(web_sources) <= 3:
-            logger.info("Web-Source-Selektion: Nur %d Quellen, alle uebernehmen", len(web_sources))
-            return list(web_sources), None
-
-        lines = []
-        for i, src in enumerate(web_sources, 1):
-            cat = src.get("category", "sonstige")
-            notes = (src.get("notes") or "")[:80]
-            domain = src.get("domain", "")
-            line = f"{i}. {src.get('name', domain)} ({domain}) [{cat}]"
-            if notes:
-                line += f" - {notes}"
-            lines.append(line)
-
-        prompt = WEB_SOURCE_SELECTION_PROMPT.format(
-            title=title,
-            description=description or "Keine weitere Beschreibung",
-            source_list="\n".join(lines),
-        )
-
-        try:
-            result, usage = await call_claude(prompt, tools=None, model=CLAUDE_MODEL_FAST)
-            indices = _extract_json_array(result)
-            if not isinstance(indices, list):
-                logger.warning(
-                    "Web-Source-Selektion: Kein JSON in Antwort, ignoriere Quellen. Sample: %s",
-                    _truncate_for_log(result),
-                )
-                return [], usage
-
-            selected = []
-            for idx in indices:
-                if isinstance(idx, int) and 1 <= idx <= len(web_sources):
-                    selected.append(web_sources[idx - 1])
-
-            logger.info(
-                "Web-Source-Selektion: %d von %d ausgewaehlt%s",
-                len(selected), len(web_sources),
-                f" ({', '.join(s.get('domain', '') for s in selected)})" if selected else "",
-            )
-            return selected, usage
-        except Exception as e:
-            logger.warning("Web-Source-Selektion fehlgeschlagen (%s)", e)
-            return [], None
-
     async def select_relevant_telegram_channels(
         self,
         title: str,

src/agents/translator.py

@@ -1,254 +0,0 @@
-"""Translator-Agent: uebersetzt fremdsprachige Artikel ins Deutsche.
-
-Eigener Agent (separat vom Analyzer), damit Token-Limits nicht zwischen
-Lagebild und Uebersetzung konkurrieren. Nutzt CLAUDE_MODEL_FAST (Haiku) in
-Batches.
-
-Aufgerufen vom Orchestrator nach analyzer.analyze() und vor post_refresh_qc.
-Backfill-Skript nutzt dieselbe Funktion fuer rueckwirkendes Auffuellen.
-"""
-import json
-import logging
-import re
-
-from agents.claude_client import call_claude, ClaudeUsage, UsageAccumulator
-from config import CLAUDE_MODEL_FAST, TRANSLATOR_ENABLED
-
-logger = logging.getLogger("osint.translator")
-
-# Pro Batch nicht mehr als so viele Artikel an Claude geben.
-# Bei Haiku ist das Output-Limit ca. 8k Tokens. Pro Artikel kommen leicht
-# 400-600 Tokens raus (headline_de + content_de bis 1000 Zeichen). Bei 15
-# wurde regelmaessig getrunkt (mid-JSON broken). 5 ist sicher mit Reserve.
-DEFAULT_BATCH_SIZE = 5
-
-# content_original wird ohnehin auf 1000 Zeichen gecappt (rss_parser).
-# Fuer den Translator nochmal verkuerzen, falls vorhanden mehr.
-CONTENT_INPUT_MAX = 1200
-
-# content_de soll wie content_original auf 1000 Zeichen begrenzt sein.
-CONTENT_OUTPUT_MAX = 1000
-
-
-def _extract_complete_objects(text: str) -> list[dict]:
-    """Extrahiert vollstaendige JSON-Objekte aus moeglicherweise abgeschnittenem Text.
-
-    Klammer-Counter-Ansatz: jedes balancierte {...} wird probiert.
-    """
-    results = []
-    depth = 0
-    start = -1
-    in_string = False
-    escape = False
-    for i, ch in enumerate(text):
-        if escape:
-            escape = False
-            continue
-        if ch == "\\":
-            escape = True
-            continue
-        if ch == '"' and not escape:
-            in_string = not in_string
-            continue
-        if in_string:
-            continue
-        if ch == "{":
-            if depth == 0:
-                start = i
-            depth += 1
-        elif ch == "}":
-            depth -= 1
-            if depth == 0 and start >= 0:
-                obj_text = text[start:i + 1]
-                try:
-                    obj = json.loads(obj_text)
-                    if isinstance(obj, dict):
-                        results.append(obj)
-                except json.JSONDecodeError:
-                    pass
-                start = -1
-    return results
-
-
-def _build_prompt(articles: list[dict], output_lang: str = "de") -> str:
-    """Bauen den Translation-Prompt fuer eine Batch."""
-    lang_label = {"de": "Deutsch", "en": "Englisch"}.get(output_lang, output_lang)
-
-    items = []
-    for a in articles:
-        items.append({
-            "id": a["id"],
-            "headline": a.get("headline", "") or "",
-            "content": (a.get("content_original") or "")[:CONTENT_INPUT_MAX],
-            "source_lang": a.get("language", "en"),
-        })
-
-    return f"""Du bist ein praeziser Uebersetzer fuer Nachrichten-Artikel.
-Uebersetze die folgenden Artikel nach {lang_label}.
-
-WICHTIG:
-- Verwende IMMER echte UTF-8-Umlaute (ä, ö, ü, ß) - NIEMALS Umschreibungen wie ae, oe, ue, ss.
-  Beispiele: "Gespraeche" -> "Gespräche", "Fuehrer" -> "Führer", "grosse" -> "große".
-- Behalte Eigennamen (Personen, Orte, Organisationen) im Original.
-- Headline kurz und buendig wie im Original.
-- Content auf MAX {CONTENT_OUTPUT_MAX} Zeichen kuerzen, kein HTML, kein Markdown.
-- Wenn der Artikel schon auf {lang_label} ist (z.B. source_lang="{output_lang}"),
-  kopiere headline und content unveraendert.
-
-Antworte AUSSCHLIESSLICH mit einem flachen JSON-Array (kein Wrapper-Objekt!).
-Format genau so:
-[
-  {{"id": 1, "headline_de": "Titel auf Deutsch", "content_de": "Inhalt auf Deutsch"}},
-  {{"id": 2, "headline_de": "...", "content_de": "..."}}
-]
-
-NICHT erlaubt: {{"translations": [...]}} oder {{"items": [...]}} oder Markdown-Codefences.
-Nur das Array, ohne Einleitung, ohne Erklaerung.
-
-ARTIKEL:
-{json.dumps(items, ensure_ascii=False, indent=2)}
-"""
-
-
-def _parse_response(text: str) -> list[dict]:
-    """Robustes JSON-Array-Parsing.
-
-    Handhabt:
-    - reines JSON
-    - JSON in Markdown-Codefence ```json ... ```
-    - abgeschnittene Antworten (extrahiert vollstaendige Top-Level-Objekte)
-    """
-    text = text.strip()
-    # Markdown-Codefence entfernen
-    if text.startswith("```"):
-        text = re.sub(r"^```(?:json)?\s*", "", text)
-        text = re.sub(r"\s*```\s*$", "", text)
-        text = text.strip()
-
-    try:
-        data = json.loads(text)
-    except json.JSONDecodeError:
-        # Erst Array versuchen
-        match = re.search(r"\[.*\]", text, re.DOTALL)
-        if match:
-            try:
-                data = json.loads(match.group(0))
-            except json.JSONDecodeError:
-                # Truncate-Fallback: einzelne Top-Level-Objekte extrahieren
-                data = _extract_complete_objects(text)
-        else:
-            data = _extract_complete_objects(text)
-
-    # Claude wraps das Array gelegentlich in {"translations": [...]} oder {"items": [...]}
-    if isinstance(data, dict):
-        for key in ("translations", "items", "results", "data"):
-            if isinstance(data.get(key), list):
-                data = data[key]
-                break
-        else:
-            # Einzelnes Objekt? Dann als Liste mit einem Element behandeln
-            if "id" in data:
-                data = [data]
-            else:
-                raise ValueError(f"Translator-Antwort: Dict ohne erwarteten Array-Key (keys={list(data.keys())[:5]})")
-
-    if not isinstance(data, list):
-        raise ValueError(f"Translator-Antwort ist kein Array: {type(data).__name__}")
-
-    cleaned = []
-    for item in data:
-        if not isinstance(item, dict):
-            continue
-        aid = item.get("id")
-        if not isinstance(aid, int):
-            try:
-                aid = int(aid)
-            except (TypeError, ValueError):
-                continue
-        cleaned.append({
-            "id": aid,
-            "headline_de": (item.get("headline_de") or "").strip() or None,
-            "content_de": (item.get("content_de") or "").strip() or None,
-        })
-    return cleaned
-
-
-async def translate_articles_batch(
-    articles: list[dict],
-    output_lang: str = "de",
-) -> tuple[list[dict], ClaudeUsage]:
-    """Uebersetzt eine Batch von Artikeln.
-
-    Erwartet articles als Liste von Dicts mit den Feldern id, headline,
-    content_original, language.
-
-    Rueckgabe: (uebersetzte_artikel, usage)
-    Wenn der Call fehlschlaegt, wird ([], leere_usage) zurueckgegeben - der
-    Caller kann entscheiden, ob retry oder skip.
-    """
-    if not articles:
-        return [], ClaudeUsage()
-
-    prompt = _build_prompt(articles, output_lang)
-
-    try:
-        result_text, usage = await call_claude(prompt, tools=None, model=CLAUDE_MODEL_FAST)
-    except Exception as e:
-        logger.error(f"Translator Claude-Call fehlgeschlagen: {e}")
-        return [], ClaudeUsage()
-
-    try:
-        translations = _parse_response(result_text)
-    except Exception as e:
-        logger.error(f"Translator JSON-Parsing fehlgeschlagen: {e}; raw: {result_text[:300]!r}")
-        return [], usage
-
-    # Validierung: nur Translations zurueckgeben, deren id wirklich
-    # in der angefragten Batch war
-    requested_ids = {a["id"] for a in articles}
-    valid = [t for t in translations if t["id"] in requested_ids]
-    if len(valid) != len(translations):
-        logger.warning(
-            "Translator: %d von %d Translations referenzieren unbekannte IDs",
-            len(translations) - len(valid), len(translations),
-        )
-    return valid, usage
-
-
-async def translate_articles(
-    articles: list[dict],
-    output_lang: str = "de",
-    batch_size: int = DEFAULT_BATCH_SIZE,
-    usage_accumulator: UsageAccumulator | None = None,
-) -> list[dict]:
-    """Uebersetzt eine beliebige Anzahl Artikel in Batches.
-
-    Bringt die Batches durch Logik in `translate_articles_batch` und gibt
-    EINE flache Liste der Translations zurueck. Wenn ein Batch fehlschlaegt,
-    wird er uebersprungen (anderer Batches laufen weiter).
-    """
-    if not articles:
-        return []
-
-    if not TRANSLATOR_ENABLED:
-        logger.info(
-            "Translator deaktiviert (TRANSLATOR_ENABLED=false), %d Artikel uebersprungen",
-            len(articles),
-        )
-        return []
-
-    all_translations = []
-    for i in range(0, len(articles), batch_size):
-        batch = articles[i : i + batch_size]
-        translations, usage = await translate_articles_batch(batch, output_lang)
-        if usage_accumulator is not None:
-            usage_accumulator.add(usage)
-        all_translations.extend(translations)
-        logger.info(
-            "Translator-Batch %d/%d: %d/%d uebersetzt (cost=$%.4f)",
-            (i // batch_size) + 1,
-            (len(articles) + batch_size - 1) // batch_size,
-            len(translations), len(batch),
-            usage.cost_usd,
-        )
-    return all_translations

src/config.py

@@ -41,10 +41,6 @@ OUTPUT_LANGUAGE = "Deutsch"
 # In Kundenversion auf False setzen oder Env-Variable entfernen
 DEV_MODE = os.environ.get("DEV_MODE", "true").lower() == "true"
 
-# Feature-Flag: Translator-Agent (Haiku) komplett deaktivieren.
-# False = keine Uebersetzungen mehr, fremdsprachige Artikel bleiben unuebersetzt.
-TRANSLATOR_ENABLED = os.environ.get("TRANSLATOR_ENABLED", "true").lower() == "true"
-
 # RSS-Feeds (Fallback, primär aus DB geladen)
 RSS_FEEDS = {
     "deutsch": [
@@ -95,9 +91,3 @@ TELEGRAM_API_ID = int(os.environ.get("TELEGRAM_API_ID", "0"))
 TELEGRAM_API_HASH = os.environ.get("TELEGRAM_API_HASH", "")
 TELEGRAM_SESSION_PATH = os.environ.get("TELEGRAM_SESSION_PATH", "/home/claude-dev/.telegram/telegram_session")
 
-# Health-Check (genutzt von services/source_health.py)
-HEALTH_CHECK_USER_AGENT = os.environ.get(
-    "HEALTH_CHECK_USER_AGENT",
-    "Mozilla/5.0 (compatible; AegisSight-HealthCheck/1.0)",
-)
-HEALTH_CHECK_TIMEOUT_S = float(os.environ.get("HEALTH_CHECK_TIMEOUT_S", "15.0"))

src/database.py

@@ -158,36 +158,7 @@ CREATE TABLE IF NOT EXISTS sources (
     article_count INTEGER DEFAULT 0,
     last_seen_at TIMESTAMP,
     created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
-    tenant_id INTEGER REFERENCES organizations(id),
-    language TEXT,
-    bias TEXT,
-    political_orientation TEXT DEFAULT 'na',
-    media_type TEXT DEFAULT 'sonstige',
-    reliability TEXT DEFAULT 'na',
-    state_affiliated INTEGER DEFAULT 0,
-    country_code TEXT,
-    classification_source TEXT DEFAULT 'legacy',
-    classified_at TIMESTAMP,
-    proposed_political_orientation TEXT,
-    proposed_media_type TEXT,
-    proposed_reliability TEXT,
-    proposed_state_affiliated INTEGER,
-    proposed_country_code TEXT,
-    proposed_alignments_json TEXT,
-    proposed_confidence REAL,
-    proposed_reasoning TEXT,
-    proposed_at TIMESTAMP,
-    eu_disinfo_listed INTEGER DEFAULT 0,
-    eu_disinfo_case_count INTEGER DEFAULT 0,
-    eu_disinfo_last_seen TIMESTAMP,
-    ifcn_signatory INTEGER DEFAULT 0,
-    external_data_synced_at TIMESTAMP
-);
-
-CREATE TABLE IF NOT EXISTS source_alignments (
-    source_id INTEGER NOT NULL REFERENCES sources(id) ON DELETE CASCADE,
-    alignment TEXT NOT NULL,
-    PRIMARY KEY (source_id, alignment)
+    tenant_id INTEGER REFERENCES organizations(id)
 );
 
 CREATE TABLE IF NOT EXISTS notifications (
@@ -640,71 +611,6 @@ async def init_db():
             await db.execute("ALTER TABLE sources ADD COLUMN tenant_id INTEGER REFERENCES organizations(id)")
             await db.commit()
 
-        # Migration: language + bias (Freitext, schon laenger im Einsatz, Schema-Lueck schliessen)
-        if "language" not in src_columns:
-            await db.execute("ALTER TABLE sources ADD COLUMN language TEXT")
-            await db.commit()
-        if "bias" not in src_columns:
-            await db.execute("ALTER TABLE sources ADD COLUMN bias TEXT")
-            await db.commit()
-
-        # Migration: strukturierte Klassifikations-Spalten fuer sources
-        for col, ddl in [
-            ("political_orientation", "ALTER TABLE sources ADD COLUMN political_orientation TEXT DEFAULT 'na'"),
-            ("media_type", "ALTER TABLE sources ADD COLUMN media_type TEXT DEFAULT 'sonstige'"),
-            ("reliability", "ALTER TABLE sources ADD COLUMN reliability TEXT DEFAULT 'na'"),
-            ("state_affiliated", "ALTER TABLE sources ADD COLUMN state_affiliated INTEGER DEFAULT 0"),
-            ("country_code", "ALTER TABLE sources ADD COLUMN country_code TEXT"),
-            ("classification_source", "ALTER TABLE sources ADD COLUMN classification_source TEXT DEFAULT 'legacy'"),
-            ("classified_at", "ALTER TABLE sources ADD COLUMN classified_at TIMESTAMP"),
-            ("proposed_political_orientation", "ALTER TABLE sources ADD COLUMN proposed_political_orientation TEXT"),
-            ("proposed_media_type", "ALTER TABLE sources ADD COLUMN proposed_media_type TEXT"),
-            ("proposed_reliability", "ALTER TABLE sources ADD COLUMN proposed_reliability TEXT"),
-            ("proposed_state_affiliated", "ALTER TABLE sources ADD COLUMN proposed_state_affiliated INTEGER"),
-            ("proposed_country_code", "ALTER TABLE sources ADD COLUMN proposed_country_code TEXT"),
-            ("proposed_alignments_json", "ALTER TABLE sources ADD COLUMN proposed_alignments_json TEXT"),
-            ("proposed_confidence", "ALTER TABLE sources ADD COLUMN proposed_confidence REAL"),
-            ("proposed_reasoning", "ALTER TABLE sources ADD COLUMN proposed_reasoning TEXT"),
-            ("proposed_at", "ALTER TABLE sources ADD COLUMN proposed_at TIMESTAMP"),
-        ]:
-            if col not in src_columns:
-                await db.execute(ddl)
-                await db.commit()
-        if any(c not in src_columns for c in ("political_orientation", "media_type", "reliability")):
-            logger.info("Migration: Klassifikations-Spalten zu sources hinzugefuegt")
-
-        # Migration: externe Reputations-Daten (EUvsDisinfo + IFCN)
-        for col, ddl in [
-            ("eu_disinfo_listed", "ALTER TABLE sources ADD COLUMN eu_disinfo_listed INTEGER DEFAULT 0"),
-            ("eu_disinfo_case_count", "ALTER TABLE sources ADD COLUMN eu_disinfo_case_count INTEGER DEFAULT 0"),
-            ("eu_disinfo_last_seen", "ALTER TABLE sources ADD COLUMN eu_disinfo_last_seen TIMESTAMP"),
-            ("ifcn_signatory", "ALTER TABLE sources ADD COLUMN ifcn_signatory INTEGER DEFAULT 0"),
-            ("external_data_synced_at", "ALTER TABLE sources ADD COLUMN external_data_synced_at TIMESTAMP"),
-        ]:
-            if col not in src_columns:
-                await db.execute(ddl)
-                await db.commit()
-        if any(c not in src_columns for c in ("eu_disinfo_listed", "ifcn_signatory")):
-            logger.info("Migration: externe Reputations-Spalten zu sources hinzugefuegt")
-
-        # Migration: source_alignments-Tabelle (Mehrfach-Tags fuer geopolitische Naehe)
-        cursor = await db.execute(
-            "SELECT name FROM sqlite_master WHERE type='table' AND name='source_alignments'"
-        )
-        if not await cursor.fetchone():
-            await db.executescript(
-                """
-                CREATE TABLE source_alignments (
-                    source_id INTEGER NOT NULL REFERENCES sources(id) ON DELETE CASCADE,
-                    alignment TEXT NOT NULL,
-                    PRIMARY KEY (source_id, alignment)
-                );
-                CREATE INDEX IF NOT EXISTS idx_source_alignments_alignment ON source_alignments(alignment);
-                """
-            )
-            await db.commit()
-            logger.info("Migration: source_alignments-Tabelle erstellt")
-
         # Migration: tenant_id fuer notifications
         cursor = await db.execute("PRAGMA table_info(notifications)")
         notif_columns = [row[1] for row in await cursor.fetchall()]

src/feeds/rss_parser.py

@@ -6,8 +6,6 @@ import httpx
 from datetime import datetime, timezone
 from config import TIMEZONE, MAX_ARTICLES_PER_DOMAIN_RSS
 from source_rules import _extract_domain
-from feeds.transcript_extractors._common import html_to_text
-from services.post_refresh_qc import normalize_german_umlauts
 
 logger = logging.getLogger("osint.rss")
 
@@ -154,26 +152,10 @@ class RSSParser:
 
             for entry in feed.entries[:50]:
                 title = entry.get("title", "")
-                # RSS-summary ist bei vielen Quellen HTML (Guardian, AP, SZ, ...).
-                # Vor weiterer Verwendung strippen, sonst landet HTML in DB
-                # und KI-Agenten und Sprach-Heuristik werden gestoert.
-                summary_raw = entry.get("summary", "")
-                summary = html_to_text(summary_raw) if summary_raw else ""
-                # ASCII-Umlaut-Normalisierung (z.B. dpa-AFX schreibt "Gespraeche").
-                # Dictionary-basiert, sicher gegen englische Woerter wie "Boeing".
-                title, _ = normalize_german_umlauts(title)
-                summary, _ = normalize_german_umlauts(summary)
+                summary = entry.get("summary", "")
                 text = f"{title} {summary}".lower()
 
-                # Adaptive Match-Schwelle:
-                # - Bei mindestens einem spezifischen Keyword (>=7 Zeichen) im Text reicht 1 Treffer.
-                #   Verhindert, dass Headlines mit nur einem starken Keyword wie "buckelwal"
-                #   rausfallen, wenn die Lage thematisch eng ist (Bug 1, vom User dokumentiert).
-                # - Sonst: alte Heuristik (mindestens halb der Wörter, max. 2).
-                specific_in_text = any(w in text for w in search_words if len(w) >= 7)
-                if specific_in_text:
-                    min_matches = 1
-                else:
+                # Flexibles Keyword-Matching: mindestens die Hälfte der Suchworte muss vorkommen (aufgerundet)
                 min_matches = min(2, max(1, (len(search_words) + 1) // 2))
                 match_count = sum(1 for word in search_words if word in text)
 

src/main.py

@@ -124,7 +124,7 @@ async def check_auto_refresh():
 
             # Letzten abgeschlossenen oder laufenden Refresh pruefen
             cursor = await db.execute(
-                "SELECT started_at, status FROM refresh_log WHERE incident_id = ? AND status IN ('completed', 'running', 'cancelled', 'error') ORDER BY id DESC LIMIT 1",
+                "SELECT started_at, status FROM refresh_log WHERE incident_id = ? AND status IN ('completed', 'running') ORDER BY id DESC LIMIT 1",
                 (incident_id,),
             )
             last_refresh = await cursor.fetchone()

src/middleware/license_check.py

@@ -40,25 +40,12 @@ async def require_writable_license(
 ) -> dict:
     """Dependency die sicherstellt, dass die Lizenz Schreibzugriff erlaubt.
 
-    Blockiert neue Lagen/Refreshes bei abgelaufener Lizenz, deaktivierter Org
-    oder aufgebrauchtem Token-Budget (Hard-Stop).
+    Blockiert neue Lagen/Refreshes bei abgelaufener Lizenz (Nur-Lesen-Modus).
     """
     lic = current_user.get("license", {})
     if lic.get("read_only"):
-        reason = lic.get("read_only_reason") or "expired"
-        if reason == "budget_exceeded":
-            detail = "Token-Budget aufgebraucht. Für Aufstockung oder Upgrade bitte info@aegis-sight.de kontaktieren."
-        elif reason == "expired":
-            detail = "Lizenz abgelaufen. Nur Lesezugriff moeglich."
-        elif reason == "no_license":
-            detail = "Keine aktive Lizenz. Bitte Verwaltung kontaktieren."
-        elif reason == "org_disabled":
-            detail = "Organisation deaktiviert. Bitte Support kontaktieren."
-        else:
-            detail = lic.get("message") or "Nur Lesezugriff moeglich."
         raise HTTPException(
             status_code=status.HTTP_403_FORBIDDEN,
-            detail=detail,
-            headers={"X-License-Status": reason},
+            detail="Lizenz abgelaufen oder widerrufen. Nur Lesezugriff moeglich.",
         )
     return current_user

src/models.py

@@ -37,8 +37,6 @@ class UserMeResponse(BaseModel):
     license_status: str = "unknown"
     license_type: str = ""
     read_only: bool = False
-    read_only_reason: Optional[str] = None
-    unlimited_budget: bool = False
     credits_total: Optional[int] = None
     credits_remaining: Optional[int] = None
     credits_percent_used: Optional[float] = None
@@ -54,7 +52,7 @@ class IncidentCreate(BaseModel):
     refresh_interval: int = Field(default=15, ge=10, le=10080)
     refresh_start_time: Optional[str] = Field(default=None, pattern=r"^([01]\d|2[0-3]):[0-5]\d$")
     retention_days: int = Field(default=0, ge=0, le=999)
-    international_sources: bool = False
+    international_sources: bool = True
     include_telegram: bool = False
     visibility: str = Field(default="public", pattern="^(public|private)$")
 
@@ -139,51 +137,24 @@ class IncidentListItem(BaseModel):
 
 
 # Sources (Quellenverwaltung)
-SOURCE_TYPE_PATTERN = "^(rss_feed|web_source|excluded|telegram_channel|podcast_feed)$"
-SOURCE_CATEGORY_PATTERN = "^(nachrichtenagentur|oeffentlich-rechtlich|qualitaetszeitung|behoerde|fachmedien|think-tank|international|regional|boulevard|sonstige)$"
-SOURCE_STATUS_PATTERN = "^(active|inactive)$"
-POLITICAL_ORIENTATION_PATTERN = "^(links_extrem|links|mitte_links|liberal|mitte|konservativ|mitte_rechts|rechts|rechts_extrem|na)$"
-MEDIA_TYPE_PATTERN = "^(tageszeitung|wochenzeitung|magazin|tv_sender|radio|oeffentlich_rechtlich|nachrichtenagentur|online_only|blog|telegram_kanal|telegram_bot|podcast|social_media|imageboard|think_tank|ngo|behoerde|staatsmedium|fachmedium|sonstige)$"
-RELIABILITY_PATTERN = "^(sehr_hoch|hoch|gemischt|niedrig|sehr_niedrig|na)$"
-ALIGNMENT_PATTERN = "^(prorussisch|proiranisch|prowestlich|proukrainisch|prochinesisch|projapanisch|proisraelisch|propalaestinensisch|protuerkisch|panarabisch|neutral|sonstige)$"
-COUNTRY_CODE_PATTERN = "^[A-Z]{2}$"
-CLASSIFICATION_SOURCE_PATTERN = "^(manual|llm_approved|llm_pending|legacy)$"
-
-
 class SourceCreate(BaseModel):
     name: str = Field(min_length=1, max_length=200)
     url: Optional[str] = None
     domain: Optional[str] = None
-    source_type: str = Field(default="rss_feed", pattern=SOURCE_TYPE_PATTERN)
-    category: str = Field(default="sonstige", pattern=SOURCE_CATEGORY_PATTERN)
-    status: str = Field(default="active", pattern=SOURCE_STATUS_PATTERN)
+    source_type: str = Field(default="rss_feed", pattern="^(rss_feed|web_source|excluded|telegram_channel|podcast_feed)$")
+    category: str = Field(default="sonstige", pattern="^(nachrichtenagentur|oeffentlich-rechtlich|qualitaetszeitung|behoerde|fachmedien|think-tank|international|regional|boulevard|sonstige)$")
+    status: str = Field(default="active", pattern="^(active|inactive)$")
     notes: Optional[str] = None
-    language: Optional[str] = None
-    bias: Optional[str] = None
-    political_orientation: Optional[str] = Field(default=None, pattern=POLITICAL_ORIENTATION_PATTERN)
-    media_type: Optional[str] = Field(default=None, pattern=MEDIA_TYPE_PATTERN)
-    reliability: Optional[str] = Field(default=None, pattern=RELIABILITY_PATTERN)
-    state_affiliated: Optional[bool] = None
-    country_code: Optional[str] = Field(default=None, pattern=COUNTRY_CODE_PATTERN)
-    alignments: Optional[list[str]] = None
 
 
 class SourceUpdate(BaseModel):
     name: Optional[str] = Field(default=None, max_length=200)
     url: Optional[str] = None
     domain: Optional[str] = None
-    source_type: Optional[str] = Field(default=None, pattern=SOURCE_TYPE_PATTERN)
-    category: Optional[str] = Field(default=None, pattern=SOURCE_CATEGORY_PATTERN)
-    status: Optional[str] = Field(default=None, pattern=SOURCE_STATUS_PATTERN)
+    source_type: Optional[str] = Field(default=None, pattern="^(rss_feed|web_source|excluded|telegram_channel|podcast_feed)$")
+    category: Optional[str] = Field(default=None, pattern="^(nachrichtenagentur|oeffentlich-rechtlich|qualitaetszeitung|behoerde|fachmedien|think-tank|international|regional|boulevard|sonstige)$")
+    status: Optional[str] = Field(default=None, pattern="^(active|inactive)$")
     notes: Optional[str] = None
-    language: Optional[str] = None
-    bias: Optional[str] = None
-    political_orientation: Optional[str] = Field(default=None, pattern=POLITICAL_ORIENTATION_PATTERN)
-    media_type: Optional[str] = Field(default=None, pattern=MEDIA_TYPE_PATTERN)
-    reliability: Optional[str] = Field(default=None, pattern=RELIABILITY_PATTERN)
-    state_affiliated: Optional[bool] = None
-    country_code: Optional[str] = Field(default=None, pattern=COUNTRY_CODE_PATTERN)
-    alignments: Optional[list[str]] = None
 
 
 class SourceResponse(BaseModel):
@@ -201,20 +172,7 @@ class SourceResponse(BaseModel):
     created_at: str
     language: Optional[str] = None
     bias: Optional[str] = None
-    political_orientation: Optional[str] = None
-    media_type: Optional[str] = None
-    reliability: Optional[str] = None
-    state_affiliated: bool = False
-    country_code: Optional[str] = None
-    classification_source: Optional[str] = None
-    classified_at: Optional[str] = None
-    alignments: list[str] = []
     is_global: bool = False
-    ifcn_signatory: bool = False
-    eu_disinfo_listed: bool = False
-    eu_disinfo_case_count: int = 0
-    eu_disinfo_last_seen: Optional[str] = None
-    external_data_synced_at: Optional[str] = None
 
 
 # Source Discovery

src/report_generator.py

@@ -26,15 +26,10 @@ LOGO_PATH = Path(__file__).parent / "static" / "favicon.svg"
 
 
 FC_STATUS_LABELS = {
-    # 1:1 vom Monitor-Frontend (components.js) — konsistent zum UI.
     "confirmed": "Bestätigt",
     "unconfirmed": "Unbestätigt",
-    "contradicted": "Widerlegt",
-    "developing":   "Unklar",
-    "established":  "Gesichert",
     "disputed": "Umstritten",
-    "unverified":   "Ungeprüft",
-    "false":        "Falsch",  # Legacy-Fallback
+    "false": "Falsch",
 }
 
 
@@ -714,7 +709,7 @@ async def generate_pdf(
         ),
         lagebild_timestamp=(incident.get("updated_at") or "")[:16].replace("T", " "),
         sources=_prepare_sources(incident)[:30] if scope == "report" else _prepare_sources(incident),
-        fact_checks=_prepare_fact_checks(fact_checks),
+        fact_checks=_prepare_fact_checks(fact_checks[:20] if scope == "report" else fact_checks),
         source_stats=_prepare_source_stats(articles)[:20] if scope == "report" else _prepare_source_stats(articles),
         timeline=_prepare_timeline(articles) if scope == "full" else [],
         articles=articles if scope == "full" else [],

src/routers/auth.py

@@ -1,13 +1,7 @@
 """Auth-Router: Magic-Link-Login und Nutzerverwaltung."""
 import logging
-import os
 from datetime import datetime, timedelta
 from fastapi import APIRouter, Depends, HTTPException, Request, status
-
-
-def _staging_mode() -> bool:
-    """STAGING_MODE Env-Flag (vgl. services.license_service)."""
-    return os.environ.get("STAGING_MODE", "").lower() in ("1", "true", "yes")
 from models import (
     MagicLinkRequest,
     MagicLinkResponse,
@@ -193,11 +187,10 @@ async def get_me(
         from services.license_service import check_license
         license_info = await check_license(db, current_user["tenant_id"])
 
-    # Credits-Daten laden (echte Prozente, nicht gekappt)
+    # Credits-Daten laden
     credits_total = None
     credits_remaining = None
     credits_percent_used = None
-    unlimited_budget = bool(license_info.get("unlimited_budget", False))
     if current_user.get("tenant_id"):
         lic_cursor = await db.execute(
             "SELECT credits_total, credits_used, cost_per_credit FROM licenses WHERE organization_id = ? AND status = 'active' ORDER BY id DESC LIMIT 1",
@@ -207,12 +200,7 @@ async def get_me(
             credits_total = lic_row["credits_total"]
             credits_used = lic_row["credits_used"] or 0
             credits_remaining = max(0, int(credits_total - credits_used))
-            credits_percent_used = round((credits_used / credits_total) * 100, 1) if credits_total > 0 else 0
-
-    # STAGING_MODE: Org-Switcher im Frontend deaktivieren
-    is_global_admin_response = current_user.get("is_global_admin", False)
-    if _staging_mode():
-        is_global_admin_response = False
+            credits_percent_used = round(min(100, (credits_used / credits_total) * 100), 1) if credits_total > 0 else 0
 
     return UserMeResponse(
         id=current_user["id"],
@@ -228,9 +216,7 @@ async def get_me(
         license_status=license_info.get("status", "unknown"),
         license_type=license_info.get("license_type", ""),
         read_only=license_info.get("read_only", False),
-        read_only_reason=license_info.get("read_only_reason"),
-        unlimited_budget=unlimited_budget,
-        is_global_admin=is_global_admin_response,
+        is_global_admin=current_user.get("is_global_admin", False),
     )
 
 

src/routers/incidents.py

@@ -1165,17 +1165,7 @@ async def export_incident(
         )
         snapshots = [dict(r) for r in await cursor.fetchall()]
 
-    # Zusammenfassung fuer den Export:
-    # - Bei Adhoc-Lagen primaer "Neueste Entwicklungen" (latest_developments) als Markdown-Bullets,
-    #   weil Live-Monitoring von Aktualitaet lebt.
-    # - Fallback (oder bei Research): Executive Summary (KI-generiert, gecacht).
-    is_adhoc = (incident.get("type") or "adhoc") != "research"
-    latest_dev = (incident.get("latest_developments") or "").strip()
-    exec_summary = None
-    if is_adhoc and latest_dev:
-        from report_generator import _markdown_to_html as _md_to_html
-        exec_summary = _md_to_html(latest_dev)
-    if not exec_summary:
+    # Executive Summary (KI-generiert, gecacht)
     exec_summary = incident.get("executive_summary")
     if not exec_summary:
         summary_text = incident.get("summary") or ""

src/routers/sources.py

@@ -1,13 +1,10 @@
 """Sources-Router: Quellenverwaltung (Multi-Tenant)."""
-import json
 import logging
 from collections import defaultdict
-from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException, status
+from fastapi import APIRouter, Depends, HTTPException, status
 from models import SourceCreate, SourceUpdate, SourceResponse, DiscoverRequest, DiscoverResponse, DiscoverMultiResponse, DomainActionRequest
 from auth import get_current_user
-from database import db_dependency, get_db, refresh_source_counts
-from services.external_reputation import apply_reputation_overrides, sync_all as sync_external_reputation
-from services.source_classifier import bulk_classify, classify_source
+from database import db_dependency, refresh_source_counts
 from source_rules import discover_source, discover_all_feeds, evaluate_feeds_with_claude, _extract_domain, _detect_category, domain_to_display_name, _DOMAIN_ALIASES
 import aiosqlite
 
@@ -15,56 +12,7 @@ logger = logging.getLogger("osint.sources")
 
 router = APIRouter(prefix="/api/sources", tags=["sources"])
 
-SOURCE_UPDATE_COLUMNS = {
-    "name", "url", "domain", "source_type", "category", "status", "notes",
-    "language", "bias",
-    "political_orientation", "media_type", "reliability",
-    "state_affiliated", "country_code",
-}
-SOURCE_CLASSIFICATION_FIELDS = {
-    "political_orientation", "media_type", "reliability",
-    "state_affiliated", "country_code",
-}
-ALLOWED_ALIGNMENTS = {
-    "prorussisch", "proiranisch", "prowestlich", "proukrainisch",
-    "prochinesisch", "projapanisch", "proisraelisch", "propalaestinensisch",
-    "protuerkisch", "panarabisch", "neutral", "sonstige",
-}
-
-
-async def _load_alignments_for(db: aiosqlite.Connection, source_ids: list[int]) -> dict[int, list[str]]:
-    """Lädt alignments fuer mehrere Quellen in einer Query und gibt {source_id: [alignment, ...]} zurück."""
-    if not source_ids:
-        return {}
-    placeholders = ",".join("?" for _ in source_ids)
-    cursor = await db.execute(
-        f"SELECT source_id, alignment FROM source_alignments WHERE source_id IN ({placeholders}) ORDER BY alignment",
-        source_ids,
-    )
-    out: dict[int, list[str]] = {sid: [] for sid in source_ids}
-    for row in await cursor.fetchall():
-        out.setdefault(row["source_id"], []).append(row["alignment"])
-    return out
-
-
-async def _replace_alignments(db: aiosqlite.Connection, source_id: int, alignments: list[str]):
-    """Ersetzt die alignments-Liste einer Quelle (DELETE + INSERT) — Aufrufer muss commit() machen."""
-    await db.execute("DELETE FROM source_alignments WHERE source_id = ?", (source_id,))
-    seen: set[str] = set()
-    for raw in alignments:
-        a = (raw or "").strip().lower()
-        if not a or a in seen:
-            continue
-        if a not in ALLOWED_ALIGNMENTS:
-            raise HTTPException(
-                status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
-                detail=f"Ungueltiger alignment-Wert: '{a}'",
-            )
-        seen.add(a)
-        await db.execute(
-            "INSERT INTO source_alignments (source_id, alignment) VALUES (?, ?)",
-            (source_id, a),
-        )
+SOURCE_UPDATE_COLUMNS = {"name", "url", "domain", "source_type", "category", "status", "notes"}
 
 
 def _check_source_ownership(source: dict, username: str):
@@ -86,13 +34,6 @@ async def list_sources(
     source_type: str = None,
     category: str = None,
     source_status: str = None,
-    political_orientation: str = None,
-    media_type: str = None,
-    reliability: str = None,
-    state_affiliated: bool = None,
-    alignment: str = None,
-    ifcn_signatory: bool = None,
-    eu_disinfo_listed: bool = None,
     current_user: dict = Depends(get_current_user),
     db: aiosqlite.Connection = Depends(db_dependency),
 ):
@@ -100,51 +41,27 @@ async def list_sources(
     tenant_id = current_user.get("tenant_id")
 
     # Global (tenant_id=NULL) + eigene Org
-    query = "SELECT s.* FROM sources s WHERE (s.tenant_id IS NULL OR s.tenant_id = ?)"
-    params: list = [tenant_id]
+    query = "SELECT * FROM sources WHERE (tenant_id IS NULL OR tenant_id = ?)"
+    params = [tenant_id]
 
     if source_type:
-        query += " AND s.source_type = ?"
+        query += " AND source_type = ?"
         params.append(source_type)
     if category:
-        query += " AND s.category = ?"
+        query += " AND category = ?"
         params.append(category)
     if source_status:
-        query += " AND s.status = ?"
+        query += " AND status = ?"
         params.append(source_status)
-    if political_orientation:
-        query += " AND s.political_orientation = ?"
-        params.append(political_orientation)
-    if media_type:
-        query += " AND s.media_type = ?"
-        params.append(media_type)
-    if reliability:
-        query += " AND s.reliability = ?"
-        params.append(reliability)
-    if state_affiliated is not None:
-        query += " AND s.state_affiliated = ?"
-        params.append(1 if state_affiliated else 0)
-    if alignment:
-        query += " AND EXISTS (SELECT 1 FROM source_alignments sa WHERE sa.source_id = s.id AND sa.alignment = ?)"
-        params.append(alignment.lower())
-    if ifcn_signatory is not None:
-        query += " AND s.ifcn_signatory = ?"
-        params.append(1 if ifcn_signatory else 0)
-    if eu_disinfo_listed is not None:
-        query += " AND s.eu_disinfo_listed = ?"
-        params.append(1 if eu_disinfo_listed else 0)
 
-    query += " ORDER BY s.source_type, s.category, s.name"
+    query += " ORDER BY source_type, category, name"
     cursor = await db.execute(query, params)
     rows = await cursor.fetchall()
-    results = [dict(row) for row in rows]
-    alignments_map = await _load_alignments_for(db, [r["id"] for r in results])
-    for d in results:
+    results = []
+    for row in rows:
+        d = dict(row)
         d["is_global"] = d.get("tenant_id") is None
-        d["state_affiliated"] = bool(d.get("state_affiliated"))
-        d["ifcn_signatory"] = bool(d.get("ifcn_signatory"))
-        d["eu_disinfo_listed"] = bool(d.get("eu_disinfo_listed"))
-        d["alignments"] = alignments_map.get(d["id"], [])
+        results.append(d)
     return results
 
 
@@ -537,16 +454,10 @@ async def create_source(
                     detail=f"Domain '{domain}' bereits als Quelle vorhanden: {domain_existing['name']}. Für einen neuen RSS-Feed bitte die Feed-URL angeben.",
                 )
 
-    payload = data.model_dump(exclude_unset=True)
-    alignments = payload.pop("alignments", None)
-    classification_touched = bool(SOURCE_CLASSIFICATION_FIELDS & payload.keys()) or alignments is not None
-
-    cols = ["name", "url", "domain", "source_type", "category", "status", "notes",
-            "language", "bias",
-            "political_orientation", "media_type", "reliability",
-            "state_affiliated", "country_code",
-            "added_by", "tenant_id"]
-    vals = [
+    cursor = await db.execute(
+        """INSERT INTO sources (name, url, domain, source_type, category, status, notes, added_by, tenant_id)
+           VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)""",
+        (
             data.name,
             data.url,
             domain,
@@ -554,43 +465,15 @@ async def create_source(
             data.category,
             data.status,
             data.notes,
-        payload.get("language"),
-        payload.get("bias"),
-        payload.get("political_orientation"),
-        payload.get("media_type"),
-        payload.get("reliability"),
-        1 if payload.get("state_affiliated") else 0,
-        payload.get("country_code"),
             current_user["username"],
             tenant_id,
-    ]
-    if classification_touched:
-        cols += ["classification_source", "classified_at"]
-        vals += ["manual"]
-        ts_marker = True
-    else:
-        ts_marker = False
-
-    placeholders = ", ".join(["?"] * len(vals) + (["CURRENT_TIMESTAMP"] if ts_marker else []))
-    cursor = await db.execute(
-        f"INSERT INTO sources ({', '.join(cols)}) VALUES ({placeholders})",
-        vals,
+        ),
     )
-    new_id = cursor.lastrowid
-
-    if alignments:
-        await _replace_alignments(db, new_id, alignments)
-
     await db.commit()
 
-    cursor = await db.execute("SELECT * FROM sources WHERE id = ?", (new_id,))
+    cursor = await db.execute("SELECT * FROM sources WHERE id = ?", (cursor.lastrowid,))
     row = await cursor.fetchone()
-    result = dict(row)
-    result["is_global"] = result.get("tenant_id") is None
-    result["state_affiliated"] = bool(result.get("state_affiliated"))
-    alignments_map = await _load_alignments_for(db, [new_id])
-    result["alignments"] = alignments_map.get(new_id, [])
-    return result
+    return dict(row)
 
 
 @router.put("/{source_id}", response_model=SourceResponse)
@@ -611,51 +494,27 @@ async def update_source(
 
     _check_source_ownership(dict(row), current_user["username"])
 
-    payload = data.model_dump(exclude_unset=True)
-    alignments = payload.pop("alignments", None)
-
     updates = {}
-    for field, value in payload.items():
+    for field, value in data.model_dump(exclude_none=True).items():
         if field not in SOURCE_UPDATE_COLUMNS:
             continue
         # Domain normalisieren
         if field == "domain" and value:
             value = _DOMAIN_ALIASES.get(value.lower(), value.lower())
-        if field == "state_affiliated":
-            value = 1 if value else 0
         updates[field] = value
 
-    classification_touched = bool(SOURCE_CLASSIFICATION_FIELDS & updates.keys()) or alignments is not None
-    if classification_touched:
-        updates["classification_source"] = "manual"
-        updates["classified_at"] = "CURRENT_TIMESTAMP_MARKER"
+    if not updates:
+        return dict(row)
 
-    if updates:
-        set_parts = []
-        values = []
-        for k, v in updates.items():
-            if v == "CURRENT_TIMESTAMP_MARKER":
-                set_parts.append(f"{k} = CURRENT_TIMESTAMP")
-            else:
-                set_parts.append(f"{k} = ?")
-                values.append(v)
-        values.append(source_id)
-        await db.execute(f"UPDATE sources SET {', '.join(set_parts)} WHERE id = ?", values)
+    set_clause = ", ".join(f"{k} = ?" for k in updates)
+    values = list(updates.values()) + [source_id]
 
-    if alignments is not None:
-        await _replace_alignments(db, source_id, alignments)
-
-    if updates or alignments is not None:
+    await db.execute(f"UPDATE sources SET {set_clause} WHERE id = ?", values)
     await db.commit()
 
     cursor = await db.execute("SELECT * FROM sources WHERE id = ?", (source_id,))
     row = await cursor.fetchone()
-    result = dict(row)
-    result["is_global"] = result.get("tenant_id") is None
-    result["state_affiliated"] = bool(result.get("state_affiliated"))
-    alignments_map = await _load_alignments_for(db, [source_id])
-    result["alignments"] = alignments_map.get(source_id, [])
-    return result
+    return dict(row)
 
 
 @router.delete("/{source_id}", status_code=status.HTTP_204_NO_CONTENT)
@@ -713,328 +572,3 @@ async def trigger_refresh_counts(
     """Artikelzaehler fuer alle Quellen neu berechnen."""
     await refresh_source_counts(db)
     return {"status": "ok"}
-
-
-# === Klassifikations-Review (LLM-Vorschlaege approve/reject/reclassify) ===
-
-def _require_admin_for_global(row: dict, current_user: dict):
-    """Globale Quellen (tenant_id IS NULL) duerfen nur org_admins approve-en/reclassify-en."""
-    if row.get("tenant_id") is None and current_user.get("role") != "org_admin":
-        raise HTTPException(
-            status_code=status.HTTP_403_FORBIDDEN,
-            detail="Globale Quellen koennen nur von Admins klassifiziert werden",
-        )
-
-
-@router.get("/classification/stats")
-async def classification_stats(
-    current_user: dict = Depends(get_current_user),
-    db: aiosqlite.Connection = Depends(db_dependency),
-):
-    """Counts pro classification_source-Wert (global + eigene Org)."""
-    tenant_id = current_user.get("tenant_id")
-    cursor = await db.execute(
-        """SELECT classification_source, COUNT(*) as cnt
-           FROM sources
-           WHERE (tenant_id IS NULL OR tenant_id = ?) AND status = 'active'
-           GROUP BY classification_source""",
-        (tenant_id,),
-    )
-    by_source = {row["classification_source"] or "legacy": row["cnt"] for row in await cursor.fetchall()}
-    cursor = await db.execute(
-        """SELECT COUNT(*) as cnt FROM sources
-           WHERE (tenant_id IS NULL OR tenant_id = ?) AND status = 'active'
-           AND proposed_political_orientation IS NOT NULL""",
-        (tenant_id,),
-    )
-    pending = (await cursor.fetchone())["cnt"]
-    return {
-        "by_classification_source": by_source,
-        "pending_review": pending,
-        "total": sum(by_source.values()),
-    }
-
-
-@router.get("/classification/queue")
-async def classification_queue(
-    limit: int = 50,
-    min_confidence: float = 0.0,
-    current_user: dict = Depends(get_current_user),
-    db: aiosqlite.Connection = Depends(db_dependency),
-):
-    """Liefert Quellen mit nicht-leeren proposed_*-Spalten (Review-Queue)."""
-    tenant_id = current_user.get("tenant_id")
-    cursor = await db.execute(
-        """SELECT s.* FROM sources s
-           WHERE (s.tenant_id IS NULL OR s.tenant_id = ?)
-             AND s.proposed_political_orientation IS NOT NULL
-             AND COALESCE(s.proposed_confidence, 0) >= ?
-           ORDER BY s.proposed_confidence DESC, s.proposed_at DESC
-           LIMIT ?""",
-        (tenant_id, min_confidence, limit),
-    )
-    rows = [dict(r) for r in await cursor.fetchall()]
-    alignments_map = await _load_alignments_for(db, [r["id"] for r in rows])
-    out = []
-    for d in rows:
-        try:
-            proposed_aligns = json.loads(d.get("proposed_alignments_json") or "[]")
-        except (json.JSONDecodeError, TypeError):
-            proposed_aligns = []
-        out.append({
-            "id": d["id"],
-            "name": d["name"],
-            "url": d.get("url"),
-            "domain": d.get("domain"),
-            "source_type": d.get("source_type"),
-            "category": d.get("category"),
-            "is_global": d.get("tenant_id") is None,
-            "current": {
-                "political_orientation": d.get("political_orientation"),
-                "media_type": d.get("media_type"),
-                "reliability": d.get("reliability"),
-                "state_affiliated": bool(d.get("state_affiliated")),
-                "country_code": d.get("country_code"),
-                "alignments": alignments_map.get(d["id"], []),
-                "classification_source": d.get("classification_source"),
-            },
-            "proposed": {
-                "political_orientation": d.get("proposed_political_orientation"),
-                "media_type": d.get("proposed_media_type"),
-                "reliability": d.get("proposed_reliability"),
-                "state_affiliated": bool(d.get("proposed_state_affiliated")),
-                "country_code": d.get("proposed_country_code"),
-                "alignments": proposed_aligns,
-                "confidence": d.get("proposed_confidence"),
-                "reasoning": d.get("proposed_reasoning"),
-                "proposed_at": d.get("proposed_at"),
-            },
-        })
-    return out
-
-
-async def _clear_proposed(db: aiosqlite.Connection, source_id: int):
-    """Loescht die proposed_*-Felder einer Quelle (ohne commit)."""
-    await db.execute(
-        """UPDATE sources SET
-            proposed_political_orientation = NULL,
-            proposed_media_type = NULL,
-            proposed_reliability = NULL,
-            proposed_state_affiliated = NULL,
-            proposed_country_code = NULL,
-            proposed_alignments_json = NULL,
-            proposed_confidence = NULL,
-            proposed_reasoning = NULL,
-            proposed_at = NULL
-        WHERE id = ?""",
-        (source_id,),
-    )
-
-
-@router.post("/{source_id}/classification/approve")
-async def approve_classification(
-    source_id: int,
-    current_user: dict = Depends(get_current_user),
-    db: aiosqlite.Connection = Depends(db_dependency),
-):
-    """Uebernimmt proposed_* in echte Felder, setzt classification_source='llm_approved'."""
-    cursor = await db.execute("SELECT * FROM sources WHERE id = ?", (source_id,))
-    row = await cursor.fetchone()
-    if not row:
-        raise HTTPException(status_code=404, detail="Quelle nicht gefunden")
-    src = dict(row)
-    _require_admin_for_global(src, current_user)
-
-    if src.get("proposed_political_orientation") is None:
-        raise HTTPException(status_code=400, detail="Keine LLM-Vorschlaege fuer diese Quelle vorhanden")
-
-    try:
-        proposed_aligns = json.loads(src.get("proposed_alignments_json") or "[]")
-    except (json.JSONDecodeError, TypeError):
-        proposed_aligns = []
-
-    await db.execute(
-        """UPDATE sources SET
-            political_orientation = ?,
-            media_type = ?,
-            reliability = ?,
-            state_affiliated = ?,
-            country_code = ?,
-            classification_source = 'llm_approved',
-            classified_at = CURRENT_TIMESTAMP
-        WHERE id = ?""",
-        (
-            src["proposed_political_orientation"],
-            src["proposed_media_type"],
-            src["proposed_reliability"],
-            1 if src.get("proposed_state_affiliated") else 0,
-            src.get("proposed_country_code"),
-            source_id,
-        ),
-    )
-    await _replace_alignments(db, source_id, [a for a in proposed_aligns if a in ALLOWED_ALIGNMENTS])
-    await _clear_proposed(db, source_id)
-    await db.commit()
-    # Reliability-Override anwenden (IFCN/EUvsDisinfo)
-    try:
-        await apply_reputation_overrides(db, source_id)
-    except Exception as e:
-        logger.warning("Reputation-Override fuer source_id=%s fehlgeschlagen: %s", source_id, e)
-    return {"source_id": source_id, "status": "approved"}
-
-
-@router.post("/{source_id}/classification/reject")
-async def reject_classification(
-    source_id: int,
-    current_user: dict = Depends(get_current_user),
-    db: aiosqlite.Connection = Depends(db_dependency),
-):
-    """Verwirft die LLM-Vorschlaege ohne Uebernahme. classification_source bleibt unveraendert."""
-    cursor = await db.execute("SELECT * FROM sources WHERE id = ?", (source_id,))
-    row = await cursor.fetchone()
-    if not row:
-        raise HTTPException(status_code=404, detail="Quelle nicht gefunden")
-    src = dict(row)
-    _require_admin_for_global(src, current_user)
-
-    await _clear_proposed(db, source_id)
-    # Wenn classification_source noch 'llm_pending' war, zurueck auf 'legacy'
-    if src.get("classification_source") == "llm_pending":
-        await db.execute(
-            "UPDATE sources SET classification_source = 'legacy' WHERE id = ?",
-            (source_id,),
-        )
-    await db.commit()
-    return {"source_id": source_id, "status": "rejected"}
-
-
-@router.post("/{source_id}/classification/reclassify")
-async def reclassify_source(
-    source_id: int,
-    current_user: dict = Depends(get_current_user),
-    db: aiosqlite.Connection = Depends(db_dependency),
-):
-    """Triggert eine LLM-Klassifikation einer einzelnen Quelle (synchron, ~3-5s)."""
-    cursor = await db.execute("SELECT * FROM sources WHERE id = ?", (source_id,))
-    row = await cursor.fetchone()
-    if not row:
-        raise HTTPException(status_code=404, detail="Quelle nicht gefunden")
-    src = dict(row)
-    _require_admin_for_global(src, current_user)
-
-    try:
-        result = await classify_source(db, source_id)
-    except Exception as e:
-        logger.error("Reclassify source_id=%s fehlgeschlagen: %s", source_id, e, exc_info=True)
-        raise HTTPException(status_code=500, detail=f"Klassifikation fehlgeschlagen: {e}")
-    return result
-
-
-async def _bulk_classify_background(limit: int, only_unclassified: bool):
-    """Hintergrund-Task: oeffnet eigene DB-Connection."""
-    db = await get_db()
-    try:
-        await bulk_classify(db, limit=limit, only_unclassified=only_unclassified)
-    finally:
-        await db.close()
-
-
-@router.post("/classification/bulk-classify")
-async def trigger_bulk_classify(
-    background_tasks: BackgroundTasks,
-    limit: int = 50,
-    only_unclassified: bool = True,
-    current_user: dict = Depends(get_current_user),
-):
-    """Startet eine Bulk-Klassifikation im Hintergrund (nur Admins)."""
-    if current_user.get("role") != "org_admin":
-        raise HTTPException(status_code=403, detail="Nur Admins koennen Bulk-Klassifikation starten")
-    if limit < 1 or limit > 500:
-        raise HTTPException(status_code=400, detail="limit muss zwischen 1 und 500 liegen")
-    background_tasks.add_task(_bulk_classify_background, limit, only_unclassified)
-    return {"status": "started", "limit": limit, "only_unclassified": only_unclassified}
-
-
-@router.post("/external-reputation/sync")
-async def trigger_external_reputation_sync(
-    background_tasks: BackgroundTasks,
-    current_user: dict = Depends(get_current_user),
-):
-    """Startet Sync von IFCN- und EUvsDisinfo-Daten (Admin, Hintergrund)."""
-    if current_user.get("role") != "org_admin":
-        raise HTTPException(status_code=403, detail="Nur Admins koennen den externen Sync starten")
-
-    async def _bg():
-        db = await get_db()
-        try:
-            await sync_external_reputation(db)
-        finally:
-            await db.close()
-
-    background_tasks.add_task(_bg)
-    return {"status": "started"}
-
-
-@router.post("/classification/bulk-approve")
-async def bulk_approve_classifications(
-    min_confidence: float = 0.85,
-    current_user: dict = Depends(get_current_user),
-    db: aiosqlite.Connection = Depends(db_dependency),
-):
-    """Genehmigt alle Pending-Vorschlaege ueber dem confidence-Schwellwert (nur Admins).
-
-    Globale Quellen werden nur bearbeitet, wenn der Aufrufer org_admin ist;
-    Tenant-eigene Quellen sowieso.
-    """
-    if current_user.get("role") != "org_admin":
-        raise HTTPException(status_code=403, detail="Nur Admins koennen Bulk-Approve nutzen")
-    tenant_id = current_user.get("tenant_id")
-    cursor = await db.execute(
-        """SELECT id, proposed_political_orientation, proposed_media_type,
-                  proposed_reliability, proposed_state_affiliated,
-                  proposed_country_code, proposed_alignments_json, tenant_id
-           FROM sources
-           WHERE proposed_political_orientation IS NOT NULL
-             AND COALESCE(proposed_confidence, 0) >= ?
-             AND (tenant_id IS NULL OR tenant_id = ?)""",
-        (min_confidence, tenant_id),
-    )
-    rows = [dict(r) for r in await cursor.fetchall()]
-    approved_ids: list[int] = []
-    for src in rows:
-        try:
-            proposed_aligns = json.loads(src.get("proposed_alignments_json") or "[]")
-        except (json.JSONDecodeError, TypeError):
-            proposed_aligns = []
-        await db.execute(
-            """UPDATE sources SET
-                political_orientation = ?,
-                media_type = ?,
-                reliability = ?,
-                state_affiliated = ?,
-                country_code = ?,
-                classification_source = 'llm_approved',
-                classified_at = CURRENT_TIMESTAMP
-            WHERE id = ?""",
-            (
-                src["proposed_political_orientation"],
-                src["proposed_media_type"],
-                src["proposed_reliability"],
-                1 if src.get("proposed_state_affiliated") else 0,
-                src.get("proposed_country_code"),
-                src["id"],
-            ),
-        )
-        await _replace_alignments(
-            db, src["id"], [a for a in proposed_aligns if a in ALLOWED_ALIGNMENTS]
-        )
-        await _clear_proposed(db, src["id"])
-        approved_ids.append(src["id"])
-    await db.commit()
-    # Reliability-Override fuer alle gerade Approved
-    try:
-        for sid in approved_ids:
-            await apply_reputation_overrides(db, sid)
-    except Exception as e:
-        logger.warning("Bulk Reputation-Override fehlgeschlagen: %s", e)
-    return {"approved_count": len(approved_ids), "min_confidence": min_confidence}

src/services/external_reputation.py

@@ -1,282 +0,0 @@
-"""Externe Reputations-Daten fuer Quellen.
-
-Synchronisiert Domain-Listen von oeffentlichen Reputations-/Faktencheck-Datenbanken
-und schreibt die Treffer in die sources-Spalten:
-
-- IFCN-Signatories (anerkannte Faktenchecker) -> ifcn_signatory
-- EUvsDisinfo (pro-Kreml-Desinformation, Zenodo-CSV) -> eu_disinfo_listed,
-  eu_disinfo_case_count, eu_disinfo_last_seen
-
-Anschliessend wendet apply_reputation_overrides() Override-Regeln auf die
-reliability-Spalte an:
-- ifcn_signatory=1 -> reliability='sehr_hoch'
-- eu_disinfo_case_count >= 5 -> reliability='sehr_niedrig'
-- eu_disinfo_case_count >= 1 -> reliability eine Stufe runter (max bis 'niedrig')
-"""
-import csv
-import io
-import logging
-from collections import defaultdict
-from urllib.parse import urlparse
-
-import aiosqlite
-import httpx
-
-logger = logging.getLogger("osint.external_reputation")
-
-IFCN_LIST_URL = "https://raw.githubusercontent.com/IFCN/verified-signatories/main/list"
-EU_DISINFO_CSV_URL = "https://zenodo.org/records/10514307/files/euvsdisinfo_base.csv?download=1"
-
-HTTP_TIMEOUT = httpx.Timeout(60.0, connect=10.0)
-
-# Generische Plattform-Domains, die NICHT als Quelle markiert werden duerfen
-# (EUvsDisinfo aggregiert anonyme Telegram-/Twitter-Posts unter Plattform-Domains).
-PLATFORM_DOMAINS = {
-    "t.me", "telegram.me", "telegram.org",
-    "twitter.com", "x.com", "mobile.twitter.com",
-    "youtube.com", "youtu.be", "m.youtube.com",
-    "facebook.com", "fb.com", "m.facebook.com",
-    "instagram.com", "tiktok.com", "vk.com", "ok.ru",
-    "rumble.com", "bitchute.com", "odysee.com",
-    "reddit.com", "old.reddit.com",
-    "wordpress.com", "blogspot.com", "medium.com",
-    "substack.com", "wixsite.com",
-}
-
-# Reliability-Skala in Stufenfolge (schlecht -> gut)
-RELIABILITY_ORDER = ["sehr_niedrig", "niedrig", "gemischt", "hoch", "sehr_hoch"]
-
-
-def _normalize_domain(raw: str | None) -> str | None:
-    """Normalisiert eine Domain: lowercase, ohne www., ohne Schema/Pfad."""
-    if not raw:
-        return None
-    raw = raw.strip().lower()
-    if not raw:
-        return None
-    # Falls eine vollstaendige URL uebergeben wurde
-    if "://" in raw:
-        try:
-            raw = urlparse(raw).netloc or raw
-        except ValueError:
-            pass
-    # Pfad/Query strippen
-    raw = raw.split("/")[0].split("?")[0].split("#")[0]
-    if raw.startswith("www."):
-        raw = raw[4:]
-    return raw or None
-
-
-async def _fetch_text(url: str) -> str:
-    """Laedt Text von einer URL. Wirft HTTPException bei Fehler."""
-    async with httpx.AsyncClient(timeout=HTTP_TIMEOUT, follow_redirects=True) as client:
-        resp = await client.get(url)
-        resp.raise_for_status()
-        return resp.text
-
-
-async def sync_ifcn_signatories(db: aiosqlite.Connection) -> dict:
-    """Laedt IFCN-Domain-Liste und matcht gegen sources.domain.
-
-    Setzt ifcn_signatory=1 wo die Domain in der Liste vorkommt, sonst 0.
-    """
-    text = await _fetch_text(IFCN_LIST_URL)
-    domains: set[str] = set()
-    for line in text.splitlines():
-        d = _normalize_domain(line)
-        if d:
-            domains.add(d)
-    logger.info("IFCN-Liste geladen: %d Domains", len(domains))
-
-    # Aktuelle Quellen mit Domain laden
-    cursor = await db.execute(
-        "SELECT id, domain FROM sources WHERE domain IS NOT NULL AND domain != ''"
-    )
-    sources = [dict(r) for r in await cursor.fetchall()]
-
-    matched_ids: list[int] = []
-    unmatched_ids: list[int] = []
-    for s in sources:
-        nd = _normalize_domain(s["domain"])
-        if nd and nd not in PLATFORM_DOMAINS and nd in domains:
-            matched_ids.append(s["id"])
-        else:
-            unmatched_ids.append(s["id"])
-
-    # Bulk-Update in zwei Statements
-    if matched_ids:
-        placeholders = ",".join("?" for _ in matched_ids)
-        await db.execute(
-            f"UPDATE sources SET ifcn_signatory = 1 WHERE id IN ({placeholders})",
-            matched_ids,
-        )
-    if unmatched_ids:
-        placeholders = ",".join("?" for _ in unmatched_ids)
-        await db.execute(
-            f"UPDATE sources SET ifcn_signatory = 0 WHERE id IN ({placeholders})",
-            unmatched_ids,
-        )
-    await db.commit()
-    logger.info("IFCN-Sync: %d Quellen als Faktenchecker markiert (von %d)",
-                len(matched_ids), len(sources))
-    return {
-        "list_size": len(domains),
-        "sources_checked": len(sources),
-        "matched": len(matched_ids),
-    }
-
-
-async def sync_eu_disinfo(db: aiosqlite.Connection) -> dict:
-    """Laedt EUvsDisinfo-CSV von Zenodo, aggregiert pro Domain, schreibt sources.
-
-    - eu_disinfo_listed: 1 wenn Domain mindestens 1x als 'disinformation' debunkt
-    - eu_disinfo_case_count: Anzahl Disinformation-Faelle
-    - eu_disinfo_last_seen: spaetestes debunk_date
-    """
-    text = await _fetch_text(EU_DISINFO_CSV_URL)
-    reader = csv.DictReader(io.StringIO(text))
-
-    # Per-Domain aggregieren (nur class='disinformation')
-    counts: dict[str, int] = defaultdict(int)
-    last_seen: dict[str, str] = {}
-    total_rows = 0
-    for row in reader:
-        total_rows += 1
-        if (row.get("class") or "").strip().lower() != "disinformation":
-            continue
-        d = _normalize_domain(row.get("article_domain"))
-        if not d:
-            continue
-        counts[d] += 1
-        debunk_date = (row.get("debunk_date") or "").strip()
-        if debunk_date:
-            prev = last_seen.get(d)
-            if not prev or debunk_date > prev:
-                last_seen[d] = debunk_date
-    logger.info("EUvsDisinfo-CSV: %d Zeilen, %d Domains mit Desinformation",
-                total_rows, len(counts))
-
-    # Quellen laden + matchen
-    cursor = await db.execute(
-        "SELECT id, domain FROM sources WHERE domain IS NOT NULL AND domain != ''"
-    )
-    sources = [dict(r) for r in await cursor.fetchall()]
-
-    matched = 0
-    for s in sources:
-        nd = _normalize_domain(s["domain"])
-        if nd and nd not in PLATFORM_DOMAINS and nd in counts:
-            await db.execute(
-                """UPDATE sources SET
-                    eu_disinfo_listed = 1,
-                    eu_disinfo_case_count = ?,
-                    eu_disinfo_last_seen = ?
-                WHERE id = ?""",
-                (counts[nd], last_seen.get(nd), s["id"]),
-            )
-            matched += 1
-        else:
-            await db.execute(
-                """UPDATE sources SET
-                    eu_disinfo_listed = 0,
-                    eu_disinfo_case_count = 0,
-                    eu_disinfo_last_seen = NULL
-                WHERE id = ?""",
-                (s["id"],),
-            )
-    await db.commit()
-    logger.info("EUvsDisinfo-Sync: %d Quellen als Desinformations-Quelle markiert (von %d)",
-                matched, len(sources))
-    return {
-        "rows_in_csv": total_rows,
-        "domains_with_disinfo_in_csv": len(counts),
-        "sources_checked": len(sources),
-        "matched": matched,
-    }
-
-
-def _override_reliability(current: str | None, ifcn: bool, eu_count: int) -> str | None:
-    """Wendet Override-Regeln auf eine reliability-Stufe an.
-
-    Rueckgabe: neue Stufe (oder None, wenn unveraendert).
-    """
-    cur = current or "na"
-
-    # IFCN gewinnt: zertifizierter Faktenchecker -> sehr_hoch (immer)
-    if ifcn:
-        return "sehr_hoch" if cur != "sehr_hoch" else None
-
-    # EUvsDisinfo: Downgrade
-    if eu_count >= 5:
-        return "sehr_niedrig" if cur != "sehr_niedrig" else None
-    if eu_count >= 1:
-        # Eine Stufe runter, mindestens bis 'niedrig'
-        if cur == "na":
-            return "niedrig"
-        if cur in RELIABILITY_ORDER:
-            idx = RELIABILITY_ORDER.index(cur)
-            new_idx = max(0, idx - 1)
-            new = RELIABILITY_ORDER[new_idx]
-            # Mindeststufe 'niedrig' bei eu_count >= 1
-            if RELIABILITY_ORDER.index(new) > RELIABILITY_ORDER.index("niedrig"):
-                new = "niedrig"
-            return new if new != cur else None
-    return None
-
-
-async def apply_reputation_overrides(db: aiosqlite.Connection, source_id: int | None = None) -> dict:
-    """Wendet Reliability-Override-Regeln an.
-
-    Wenn source_id angegeben ist, nur fuer diese Quelle. Sonst fuer alle Quellen.
-    """
-    if source_id is not None:
-        cursor = await db.execute(
-            "SELECT id, reliability, ifcn_signatory, eu_disinfo_case_count "
-            "FROM sources WHERE id = ?",
-            (source_id,),
-        )
-    else:
-        cursor = await db.execute(
-            "SELECT id, reliability, ifcn_signatory, eu_disinfo_case_count FROM sources"
-        )
-    sources = [dict(r) for r in await cursor.fetchall()]
-
-    changed = 0
-    for s in sources:
-        new = _override_reliability(
-            s.get("reliability"),
-            bool(s.get("ifcn_signatory")),
-            int(s.get("eu_disinfo_case_count") or 0),
-        )
-        if new is not None:
-            await db.execute(
-                "UPDATE sources SET reliability = ? WHERE id = ?",
-                (new, s["id"]),
-            )
-            changed += 1
-    await db.commit()
-    logger.info("Reliability-Override: %d Quellen angepasst (von %d gepruefte)",
-                changed, len(sources))
-    return {"checked": len(sources), "changed": changed}
-
-
-async def sync_all(db: aiosqlite.Connection) -> dict:
-    """Vollstaendiger Sync: IFCN + EUvsDisinfo + Reliability-Override.
-
-    Setzt external_data_synced_at fuer alle Quellen.
-    """
-    ifcn_result = await sync_ifcn_signatories(db)
-    eu_result = await sync_eu_disinfo(db)
-    override_result = await apply_reputation_overrides(db)
-
-    await db.execute(
-        "UPDATE sources SET external_data_synced_at = CURRENT_TIMESTAMP "
-        "WHERE domain IS NOT NULL AND domain != ''"
-    )
-    await db.commit()
-
-    return {
-        "ifcn": ifcn_result,
-        "eu_disinfo": eu_result,
-        "override": override_result,
-    }

src/services/license_service.py

@@ -1,6 +1,5 @@
 """Lizenz-Verwaltung und -Pruefung."""
 import logging
-import os
 from datetime import datetime
 from config import TIMEZONE
 import aiosqlite
@@ -8,21 +7,11 @@ import aiosqlite
 logger = logging.getLogger("osint.license")
 
 
-def _staging_mode() -> bool:
-    """Staging-Mode aktiv? Wenn ja, gilt: immer unlimited Budget, kein Hard-Stop.
-
-    Wird ueber ENV-Variable STAGING_MODE=1 (oder true) aktiviert.
-    Nur in Staging-.env gesetzt; Live-.env hat das Flag nicht.
-    """
-    return os.environ.get("STAGING_MODE", "").lower() in ("1", "true", "yes")
-
-
 async def check_license(db: aiosqlite.Connection, organization_id: int) -> dict:
     """Prueft den Lizenzstatus einer Organisation.
 
     Returns:
-        dict mit: valid, status, license_type, max_users, current_users, read_only,
-        read_only_reason, message, unlimited_budget, credits_total, credits_used
+        dict mit: valid, status, license_type, max_users, current_users, read_only, message
     """
     # Organisation pruefen
     cursor = await db.execute(
@@ -31,14 +20,10 @@ async def check_license(db: aiosqlite.Connection, organization_id: int) -> dict:
     )
     org = await cursor.fetchone()
     if not org:
-        return {"valid": False, "status": "not_found", "read_only": True,
-                "read_only_reason": "not_found",
-                "message": "Organisation nicht gefunden"}
+        return {"valid": False, "status": "not_found", "read_only": True, "message": "Organisation nicht gefunden"}
 
     if not org["is_active"]:
-        return {"valid": False, "status": "org_disabled", "read_only": True,
-                "read_only_reason": "org_disabled",
-                "message": "Organisation deaktiviert"}
+        return {"valid": False, "status": "org_disabled", "read_only": True, "message": "Organisation deaktiviert"}
 
     # Aktive Lizenz suchen
     cursor = await db.execute(
@@ -50,19 +35,7 @@ async def check_license(db: aiosqlite.Connection, organization_id: int) -> dict:
     license_row = await cursor.fetchone()
 
     if not license_row:
-        return {"valid": False, "status": "no_license", "read_only": True,
-                "read_only_reason": "no_license",
-                "message": "Keine aktive Lizenz"}
-
-    # Felder zur weiteren Verwendung extrahieren
-    lic_dict = dict(license_row)
-    unlimited_budget = bool(lic_dict.get("unlimited_budget"))
-    credits_total = lic_dict.get("credits_total")
-    credits_used = lic_dict.get("credits_used") or 0
-
-    # STAGING_MODE: kein Token-Budget-Hard-Stop, immer unlimited
-    if _staging_mode():
-        unlimited_budget = True
+        return {"valid": False, "status": "no_license", "read_only": True, "message": "Keine aktive Lizenz"}
 
     # Ablauf pruefen
     now = datetime.now(TIMEZONE)
@@ -79,21 +52,11 @@ async def check_license(db: aiosqlite.Connection, organization_id: int) -> dict:
                     "status": "expired",
                     "license_type": license_row["license_type"],
                     "read_only": True,
-                    "read_only_reason": "expired",
                     "message": "Lizenz abgelaufen",
-                    "unlimited_budget": unlimited_budget,
-                    "credits_total": credits_total,
-                    "credits_used": credits_used,
                 }
         except (ValueError, TypeError):
             pass
 
-    # Budget-Check (Hard-Stop bei aufgebrauchten Credits, ausser unlimited)
-    budget_exceeded = False
-    if not unlimited_budget and credits_total and credits_total > 0:
-        if credits_used >= credits_total:
-            budget_exceeded = True
-
     # Nutzerzahl pruefen
     cursor = await db.execute(
         "SELECT COUNT(*) as cnt FROM users WHERE organization_id = ? AND is_active = 1",
@@ -101,21 +64,6 @@ async def check_license(db: aiosqlite.Connection, organization_id: int) -> dict:
     )
     current_users = (await cursor.fetchone())["cnt"]
 
-    if budget_exceeded:
-        return {
-            "valid": True,  # Lizenz ist gueltig, aber Budget aufgebraucht -> read-only
-            "status": "budget_exceeded",
-            "license_type": license_row["license_type"],
-            "max_users": license_row["max_users"],
-            "current_users": current_users,
-            "read_only": True,
-            "read_only_reason": "budget_exceeded",
-            "message": "Token-Budget aufgebraucht",
-            "unlimited_budget": False,
-            "credits_total": credits_total,
-            "credits_used": credits_used,
-        }
-
     return {
         "valid": True,
         "status": license_row["status"],
@@ -123,11 +71,7 @@ async def check_license(db: aiosqlite.Connection, organization_id: int) -> dict:
         "max_users": license_row["max_users"],
         "current_users": current_users,
         "read_only": False,
-        "read_only_reason": None,
         "message": "Lizenz aktiv",
-        "unlimited_budget": unlimited_budget,
-        "credits_total": credits_total,
-        "credits_used": credits_used,
     }
 
 

src/services/pipeline_tracker.py

@@ -50,18 +50,18 @@ PIPELINE_STEPS = [
         "icon": "map-pin",
         "tooltip": "Aus den Meldungen werden Ortsangaben erkannt und auf der Karte verortet.",
     },
-    {
-        "key": "factcheck",
-        "label": "Fakten prüfen",
-        "icon": "shield",
-        "tooltip": "Behauptungen aus den Meldungen werden gegeneinander abgeglichen: Bestätigt? Umstritten? Noch unklar?",
-    },
     {
         "key": "summary",
         "label": "Lagebild verfassen",
         "icon": "file-text",
         "tooltip": "Aus allen geprüften Meldungen wird ein zusammenhängendes Lagebild geschrieben, mit Quellenangaben am Text.",
     },
+    {
+        "key": "factcheck",
+        "label": "Fakten prüfen",
+        "icon": "shield",
+        "tooltip": "Behauptungen aus den Meldungen werden gegeneinander abgeglichen: Bestätigt? Umstritten? Noch unklar?",
+    },
     {
         "key": "qc",
         "label": "Qualitätscheck",
@@ -228,25 +228,3 @@ async def error_step(db, ws_manager, *, step_id: Optional[int], refresh_log_id:
         "status": "error",
         "pass_number": pass_number,
     }, visibility, created_by, tenant_id)
-
-
-async def cancel_active_steps(db, *, refresh_log_id: int) -> int:
-    """Schliesst alle noch aktiven Pipeline-Schritte eines Refreshs als 'cancelled' ab.
-
-    Wird vom Orchestrator nach einem User-Cancel aufgerufen. Ohne diesen Schritt
-    bleibt der zuletzt aktive Step-Eintrag verwaist und der Pipeline-Endpoint
-    liefert dauerhaft 'Schritt X laeuft' an die UI.
-    """
-    try:
-        cur = await db.execute(
-            """UPDATE refresh_pipeline_steps
-               SET status = 'cancelled', completed_at = ?
-               WHERE refresh_log_id = ? AND status = 'active'""",
-            (_now_db(), refresh_log_id),
-        )
-        await db.commit()
-        return cur.rowcount or 0
-    except Exception as e:
-        logger.warning(f"Pipeline cancel_active_steps DB-Fehler: {e}")
-        return 0
-

src/services/post_refresh_qc.py

@@ -400,20 +400,18 @@ async def run_post_refresh_qc(db, incident_id: int) -> dict:
             db, incident_id, incident_title, incident_desc
         )
         umlauts_fixed = await normalize_umlaut_fields(db, incident_id)
-        article_umlauts_fixed = await normalize_umlaut_articles(db, incident_id)
 
-        total_umlaut_changes = umlauts_fixed + article_umlauts_fixed
-        if facts_removed > 0 or locations_fixed > 0 or total_umlaut_changes > 0:
+        if facts_removed > 0 or locations_fixed > 0 or umlauts_fixed > 0:
             await db.commit()
             logger.info(
-                "Post-Refresh QC fuer Incident %d: %d Duplikate entfernt, %d Locations korrigiert, %d Umlaute normalisiert (davon %d in Articles)",
-                incident_id, facts_removed, locations_fixed, total_umlaut_changes, article_umlauts_fixed,
+                "Post-Refresh QC fuer Incident %d: %d Duplikate entfernt, %d Locations korrigiert, %d Umlaute normalisiert",
+                incident_id, facts_removed, locations_fixed, umlauts_fixed,
             )
 
         return {
             "facts_removed": facts_removed,
             "locations_fixed": locations_fixed,
-            "umlauts_fixed": total_umlaut_changes,
+            "umlauts_fixed": umlauts_fixed,
         }
 
     except Exception as e:
@@ -570,64 +568,3 @@ async def normalize_umlaut_fields(db, incident_id: int) -> int:
         incident_id, count_summary, count_dev,
     )
     return total
-
-
-async def normalize_umlaut_articles(db, incident_id: int) -> int:
-    """Normalisiert Umlaute in allen Artikel-Texten des Incidents.
-
-    Felder die behandelt werden:
-    - headline_de und content_de bei allen Artikeln (LLM-Uebersetzung kann
-      ASCII-Umlaute liefern trotz Prompt-Anweisung)
-    - headline und content_original bei language='de' (manche Quellen wie
-      dpa-AFX, Telegram-Kanaele liefern selbst schon ASCII-Umlaute)
-
-    Idempotent: Wenn der Text schon korrekt ist, macht das Dict-Lookup
-    keine Aenderung und wir schreiben nicht zurueck.
-
-    Rueckgabe: Gesamtzahl der Wort-Ersetzungen ueber alle Artikel.
-    """
-    cursor = await db.execute(
-        """SELECT id, language, headline, headline_de, content_original, content_de
-           FROM articles WHERE incident_id = ?""",
-        (incident_id,),
-    )
-    rows = await cursor.fetchall()
-    if not rows:
-        return 0
-
-    total = 0
-    for row in rows:
-        is_de = (row["language"] or "").lower() == "de"
-        updates = {}
-
-        # Felder die immer behandelt werden (LLM-Uebersetzungen)
-        if row["headline_de"]:
-            new, n = normalize_german_umlauts(row["headline_de"])
-            if n > 0:
-                updates["headline_de"] = new
-                total += n
-        if row["content_de"]:
-            new, n = normalize_german_umlauts(row["content_de"])
-            if n > 0:
-                updates["content_de"] = new
-                total += n
-
-        # Originalfelder nur bei deutschen Quellen
-        if is_de:
-            if row["headline"]:
-                new, n = normalize_german_umlauts(row["headline"])
-                if n > 0:
-                    updates["headline"] = new
-                    total += n
-            if row["content_original"]:
-                new, n = normalize_german_umlauts(row["content_original"])
-                if n > 0:
-                    updates["content_original"] = new
-                    total += n
-
-        if updates:
-            set_clause = ", ".join(f"{k} = ?" for k in updates)
-            values = list(updates.values()) + [row["id"]]
-            await db.execute(f"UPDATE articles SET {set_clause} WHERE id = ?", values)
-
-    return total

src/services/source_classifier.py

@@ -1,295 +0,0 @@
-"""Klassifiziert Quellen via Claude (Haiku) nach 4 Achsen + state_affiliated + country.
-
-Schreibt Vorschlaege in die proposed_*-Spalten von sources und setzt
-classification_source='llm_pending'. Approval erfolgt ueber separate Endpoints,
-die proposed_* in die echten Spalten kopieren.
-"""
-import asyncio
-import json
-import logging
-import re
-
-import aiosqlite
-
-from agents.claude_client import call_claude
-from config import CLAUDE_MODEL_FAST
-
-logger = logging.getLogger("osint.source_classifier")
-
-POLITICAL_VALUES = {
-    "links_extrem", "links", "mitte_links", "liberal", "mitte",
-    "konservativ", "mitte_rechts", "rechts", "rechts_extrem", "na",
-}
-MEDIA_TYPE_VALUES = {
-    "tageszeitung", "wochenzeitung", "magazin", "tv_sender", "radio",
-    "oeffentlich_rechtlich", "nachrichtenagentur", "online_only", "blog",
-    "telegram_kanal", "telegram_bot", "podcast", "social_media", "imageboard",
-    "think_tank", "ngo", "behoerde", "staatsmedium", "fachmedium", "sonstige",
-}
-RELIABILITY_VALUES = {"sehr_hoch", "hoch", "gemischt", "niedrig", "sehr_niedrig", "na"}
-ALIGNMENT_VALUES = {
-    "prorussisch", "proiranisch", "prowestlich", "proukrainisch",
-    "prochinesisch", "projapanisch", "proisraelisch", "propalaestinensisch",
-    "protuerkisch", "panarabisch", "neutral", "sonstige",
-}
-
-
-def _build_prompt(src: dict, sample_articles: list[dict]) -> str:
-    sample_text = ""
-    if sample_articles:
-        lines = []
-        for i, art in enumerate(sample_articles[:5], 1):
-            headline = (art.get("headline") or art.get("headline_de") or "").strip()
-            if headline:
-                lines.append(f"{i}. {headline[:200]}")
-        if lines:
-            sample_text = "\nLetzte Artikel/Headlines:\n" + "\n".join(lines)
-
-    return f"""Du bist ein OSINT-Analyst und klassifizierst Nachrichten- und Medienquellen fuer ein Lagebild-Monitoring-System (DACH-Raum).
-
-QUELLE:
-Name: {src.get('name')}
-URL: {src.get('url') or '-'}
-Domain: {src.get('domain') or '-'}
-Quellentyp: {src.get('source_type')}
-Bisherige Kategorie: {src.get('category')}
-Sprache: {src.get('language') or 'unbekannt'}
-Bisherige Notiz (Freitext): {src.get('bias') or '-'}{sample_text}
-
-AUFGABE: Klassifiziere die Quelle nach folgenden Achsen.
-
-1. political_orientation:
-   - links_extrem (z.B. linksunten.indymedia)
-   - links (klar links, z.B. junge Welt, taz)
-   - mitte_links (linksliberal/sozialdemokratisch, z.B. SZ, Spiegel)
-   - liberal (wirtschafts-/grünliberal, z.B. NZZ, Zeit)
-   - mitte (politisch neutral, Agentur, z.B. dpa, Reuters, tagesschau)
-   - konservativ (buergerlich-konservativ, z.B. FAZ, Welt)
-   - mitte_rechts (rechts-buergerlich, z.B. Tichys Einblick, Achgut)
-   - rechts (klar rechts, z.B. Junge Freiheit, EpochTimes)
-   - rechts_extrem (z.B. Compact, PI-News)
-   - na (nicht klassifizierbar: Behoerde, Fachmedium, Think Tank ohne klare politische Linie)
-
-2. media_type (genau einer):
-   tageszeitung, wochenzeitung, magazin, tv_sender, radio, oeffentlich_rechtlich,
-   nachrichtenagentur, online_only, blog, telegram_kanal, telegram_bot, podcast,
-   social_media, imageboard, think_tank, ngo, behoerde, staatsmedium, fachmedium, sonstige
-
-3. reliability:
-   - sehr_hoch (etablierte Qualitaet, Faktencheck: tagesschau, dpa, FAZ, Reuters)
-   - hoch (serioes mit gelegentlichen Schwaechen: taz, Welt, BILD bei harten News)
-   - gemischt (Mix Meinung/Einseitigkeit: Tichys Einblick, Achgut, Boulevard)
-   - niedrig (haeufig irrefuehrend, schwache Quellenarbeit: Junge Freiheit, EpochTimes)
-   - sehr_niedrig (bekannt fuer Desinformation/Verschwoerung: Compact, RT, Sputnik, PI-News)
-   - na (nicht bewertbar)
-
-4. alignments (Mehrfach, leeres Array wenn keine ausgepraegte Naehe):
-   prorussisch, proiranisch, prowestlich, proukrainisch, prochinesisch, projapanisch,
-   proisraelisch, propalaestinensisch, protuerkisch, panarabisch, neutral, sonstige
-
-5. state_affiliated (true/false): true wenn vom Staat finanziert/kontrolliert
-   (RT, Sputnik, CGTN, PressTV, Xinhua, TRT). Public Service Broadcaster
-   wie ARD/ZDF/BBC sind NICHT state_affiliated.
-
-6. country_code (ISO 3166-1 alpha-2): Heimatland (DE, AT, CH, RU, US, ...). null wenn unklar.
-
-7. confidence (0.0-1.0): 0.85+ fuer bekannte Outlets, 0.5-0.85 fuer mittelbekannt, <0.5 fuer unsicher.
-
-8. reasoning (1-2 Saetze): Kurze Begruendung der Hauptklassifikationen.
-
-WICHTIG:
-- Antworte AUSSCHLIESSLICH mit einem JSON-Objekt, kein Text drumherum.
-- Nutze ausschliesslich die genannten enum-Werte (snake_case).
-- Bei Unklarheit lieber `na` und niedrige confidence.
-
-JSON-Schema:
-{{
-  "political_orientation": "...",
-  "media_type": "...",
-  "reliability": "...",
-  "alignments": ["..."],
-  "state_affiliated": false,
-  "country_code": "DE",
-  "confidence": 0.9,
-  "reasoning": "..."
-}}"""
-
-
-async def _load_sample_articles(db: aiosqlite.Connection, name: str, domain: str | None, limit: int = 5) -> list[dict]:
-    """Laedt die letzten Headlines einer Quelle (per name oder Domain-Match)."""
-    rows: list = []
-    if name:
-        cursor = await db.execute(
-            "SELECT headline, headline_de FROM articles WHERE source = ? ORDER BY collected_at DESC LIMIT ?",
-            (name, limit),
-        )
-        rows = await cursor.fetchall()
-    if not rows and domain:
-        cursor = await db.execute(
-            "SELECT headline, headline_de FROM articles WHERE source_url LIKE ? ORDER BY collected_at DESC LIMIT ?",
-            (f"%{domain}%", limit),
-        )
-        rows = await cursor.fetchall()
-    return [dict(r) for r in rows]
-
-
-def _validate(parsed: dict) -> dict:
-    """Validiert + normalisiert eine LLM-Antwort gegen die Enums."""
-    pol = parsed.get("political_orientation", "na")
-    if pol not in POLITICAL_VALUES:
-        pol = "na"
-    mt = parsed.get("media_type", "sonstige")
-    if mt not in MEDIA_TYPE_VALUES:
-        mt = "sonstige"
-    rel = parsed.get("reliability", "na")
-    if rel not in RELIABILITY_VALUES:
-        rel = "na"
-    aligns_raw = parsed.get("alignments") or []
-    if not isinstance(aligns_raw, list):
-        aligns_raw = []
-    aligns = sorted({a for a in aligns_raw if isinstance(a, str) and a in ALIGNMENT_VALUES})
-    sa = bool(parsed.get("state_affiliated", False))
-    cc = parsed.get("country_code")
-    if isinstance(cc, str) and len(cc) == 2 and cc.isalpha():
-        cc = cc.upper()
-    else:
-        cc = None
-    try:
-        confidence = float(parsed.get("confidence", 0.5))
-        confidence = max(0.0, min(1.0, confidence))
-    except (TypeError, ValueError):
-        confidence = 0.5
-    reasoning = str(parsed.get("reasoning", ""))[:1000]
-    return {
-        "political_orientation": pol,
-        "media_type": mt,
-        "reliability": rel,
-        "alignments": aligns,
-        "state_affiliated": sa,
-        "country_code": cc,
-        "confidence": confidence,
-        "reasoning": reasoning,
-    }
-
-
-async def classify_source(
-    db: aiosqlite.Connection,
-    source_id: int,
-    sample_limit: int = 5,
-    model: str = CLAUDE_MODEL_FAST,
-) -> dict:
-    """Klassifiziert eine einzelne Quelle und schreibt die Vorschlaege in proposed_*-Spalten."""
-    cursor = await db.execute(
-        "SELECT id, name, url, domain, source_type, category, language, bias, "
-        "classification_source FROM sources WHERE id = ?",
-        (source_id,),
-    )
-    row = await cursor.fetchone()
-    if not row:
-        raise ValueError(f"Quelle {source_id} nicht gefunden")
-    src = dict(row)
-
-    sample = await _load_sample_articles(db, src["name"], src.get("domain"), sample_limit)
-    prompt = _build_prompt(src, sample)
-    response, usage = await call_claude(prompt, tools=None, model=model)
-
-    json_match = re.search(r"\{.*\}", response, re.DOTALL)
-    if not json_match:
-        raise ValueError(f"Keine JSON-Antwort von Claude fuer source_id={source_id}: {response[:200]}")
-    parsed = json.loads(json_match.group(0))
-    result = _validate(parsed)
-
-    # Nur classification_source auf 'llm_pending' setzen, wenn nicht bereits manuell/approved
-    new_src = "CASE WHEN classification_source IN ('manual','llm_approved') THEN classification_source ELSE 'llm_pending' END"
-    await db.execute(
-        f"""UPDATE sources SET
-            proposed_political_orientation = ?,
-            proposed_media_type = ?,
-            proposed_reliability = ?,
-            proposed_state_affiliated = ?,
-            proposed_country_code = ?,
-            proposed_alignments_json = ?,
-            proposed_confidence = ?,
-            proposed_reasoning = ?,
-            proposed_at = CURRENT_TIMESTAMP,
-            classification_source = {new_src}
-        WHERE id = ?""",
-        (
-            result["political_orientation"],
-            result["media_type"],
-            result["reliability"],
-            1 if result["state_affiliated"] else 0,
-            result["country_code"],
-            json.dumps(result["alignments"], ensure_ascii=False),
-            result["confidence"],
-            result["reasoning"],
-            source_id,
-        ),
-    )
-    await db.commit()
-
-    logger.info(
-        "Klassifiziert source_id=%s '%s' -> %s/%s/%s conf=%.2f ($%.4f)",
-        source_id, src["name"], result["political_orientation"],
-        result["media_type"], result["reliability"], result["confidence"],
-        usage.cost_usd,
-    )
-
-    result["source_id"] = source_id
-    result["usage"] = {
-        "cost_usd": usage.cost_usd,
-        "input_tokens": usage.input_tokens,
-        "output_tokens": usage.output_tokens,
-    }
-    return result
-
-
-async def bulk_classify(
-    db: aiosqlite.Connection,
-    limit: int = 50,
-    only_unclassified: bool = True,
-    model: str = CLAUDE_MODEL_FAST,
-) -> dict:
-    """Klassifiziert noch unklassifizierte Quellen (sequenziell).
-
-    Args:
-        limit: Maximale Anzahl Quellen pro Aufruf
-        only_unclassified: Wenn True, nur classification_source='legacy'.
-                           Wenn False, auch 'llm_pending' neu klassifizieren.
-    """
-    if only_unclassified:
-        where = "classification_source = 'legacy'"
-    else:
-        where = "classification_source IN ('legacy', 'llm_pending')"
-    cursor = await db.execute(
-        f"SELECT id FROM sources WHERE {where} AND status = 'active' "
-        f"AND source_type != 'excluded' ORDER BY id LIMIT ?",
-        (limit,),
-    )
-    ids = [row["id"] for row in await cursor.fetchall()]
-
-    total_cost = 0.0
-    success = 0
-    errors: list[dict] = []
-
-    for sid in ids:
-        try:
-            r = await classify_source(db, sid, model=model)
-            total_cost += r["usage"]["cost_usd"]
-            success += 1
-        except asyncio.CancelledError:
-            raise
-        except Exception as e:
-            logger.error("Klassifikation source_id=%s fehlgeschlagen: %s", sid, e, exc_info=True)
-            errors.append({"source_id": sid, "error": str(e)})
-
-    logger.info(
-        "Bulk-Klassifikation fertig: %d/%d erfolgreich, $%.4f Kosten, %d Fehler",
-        success, len(ids), total_cost, len(errors),
-    )
-    return {
-        "processed": len(ids),
-        "success": success,
-        "errors": errors,
-        "total_cost_usd": total_cost,
-    }

src/services/source_health.py

@@ -1,69 +1,41 @@
-"""Quellen-Health-Check Engine - prüft Erreichbarkeit, Feed-Validität, Duplikate."""
+"""Quellen-Health-Check Engine - prüft Erreichbarkeit, Feed-Validität, Duplikate."""
 import asyncio
 import logging
 import json
-import uuid
 from urllib.parse import urlparse
 
 import httpx
 import feedparser
 import aiosqlite
 
-try:
-    from config import HEALTH_CHECK_USER_AGENT, HEALTH_CHECK_TIMEOUT_S
-except ImportError:
-    HEALTH_CHECK_USER_AGENT = "Mozilla/5.0 (compatible; AegisSight-HealthCheck/1.0)"
-    HEALTH_CHECK_TIMEOUT_S = 15.0
-
-# Phase 18: alternative User-Agents fuer Bot-Block-Bypass
-USER_AGENT_GOOGLEBOT = "Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)"
-USER_AGENT_BROWSER = (
-    "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 "
-    "(KHTML, like Gecko) Chrome/120.0 Safari/537.36"
-)
-REMOVEPAYWALLS_PREFIX = "https://www.removepaywall.com/search?url="
-
-# HTTP-Codes, die einen Retry mit anderem UA rechtfertigen
-RETRY_ON_STATUS = {403, 406, 429}
-
 logger = logging.getLogger("osint.source_health")
 
 
 async def run_health_checks(db: aiosqlite.Connection) -> dict:
-    """Führt Health-Checks für alle aktiven Quellen durch (global + Tenant)."""
+    """Führt alle Health-Checks für aktive Grundquellen durch."""
     logger.info("Starte Quellen-Health-Check...")
 
-    # Alle aktiven Quellen laden (global UND Tenant-spezifisch)
+    # Alle aktiven Grundquellen laden
     cursor = await db.execute(
-        "SELECT id, name, url, domain, source_type, article_count, last_seen_at, "
-        "COALESCE(fetch_strategy, 'default') AS fetch_strategy "
-        "FROM sources WHERE status = 'active' "
+        "SELECT id, name, url, domain, source_type, article_count, last_seen_at "
+        "FROM sources WHERE status = 'active' AND tenant_id IS NULL"
     )
     sources = [dict(row) for row in await cursor.fetchall()]
 
-    # Bisherigen Stand in History archivieren, dann frisch starten
-    run_id = uuid.uuid4().hex[:12]
-    await db.execute(
-        "INSERT INTO source_health_history "
-        "(run_id, source_id, check_type, status, message, details, checked_at) "
-        "SELECT ?, source_id, check_type, status, message, details, checked_at "
-        "FROM source_health_checks",
-        (run_id,),
-    )
+    # Aktuelle Health-Check-Ergebnisse löschen (werden neu geschrieben)
     await db.execute("DELETE FROM source_health_checks")
     await db.commit()
-    logger.info(f"Health-Check Run {run_id}: vorigen Stand archiviert")
 
     checks_done = 0
     issues_found = 0
 
-    # 1. Erreichbarkeit + Feed-Validität (nur Quellen mit URL)
+    # 1. Erreichbarkeit + Feed-Validität (nur Quellen mit URL)
     sources_with_url = [s for s in sources if s["url"]]
 
     async with httpx.AsyncClient(
-        timeout=HEALTH_CHECK_TIMEOUT_S,
+        timeout=15.0,
         follow_redirects=True,
-        headers={"User-Agent": HEALTH_CHECK_USER_AGENT},
+        headers={"User-Agent": "Mozilla/5.0 (compatible; OSINT-Monitor/1.0)"},
     ) as client:
         for i in range(0, len(sources_with_url), 5):
             batch = sources_with_url[i:i + 5]
@@ -74,7 +46,7 @@ async def run_health_checks(db: aiosqlite.Connection) -> dict:
                 if isinstance(result, Exception):
                     await _save_check(
                         db, source["id"], "reachability", "error",
-                        f"Prüfung fehlgeschlagen: {result}",
+                        f"Prüfung fehlgeschlagen: {result}",
                     )
                     issues_found += 1
                 else:
@@ -111,7 +83,7 @@ async def run_health_checks(db: aiosqlite.Connection) -> dict:
 
     await db.commit()
     logger.info(
-        f"Health-Check abgeschlossen: {checks_done} Quellen geprüft, "
+        f"Health-Check abgeschlossen: {checks_done} Quellen geprüft, "
         f"{issues_found} Probleme gefunden"
     )
     return {"checked": checks_done, "issues": issues_found}
@@ -120,63 +92,12 @@ async def run_health_checks(db: aiosqlite.Connection) -> dict:
 async def _check_source_reachability(
     client: httpx.AsyncClient, source: dict,
 ) -> list[dict]:
-    """Prüft Erreichbarkeit und Feed-Validität einer Quelle.
-
-    Phase 18: pro Quelle eine fetch_strategy ('default' | 'googlebot' | 'paywall' | 'skip').
-    Bei 'default' wird im Fehlerfall (403/406/429) ein Retry mit Googlebot-UA gemacht.
-    Bei 'paywall' wird auf removepaywall.com umgeleitet.
-    Bei 'skip' wird kein Check ausgeführt.
-    """
+    """Prüft Erreichbarkeit und Feed-Validität einer Quelle."""
     checks = []
     url = source["url"]
-    strategy = source.get("fetch_strategy") or "default"
-
-    # 'skip' -> kein Check (bekannte unerreichbare Quellen, z.B. Login-only)
-    if strategy == "skip":
-        checks.append({
-            "type": "reachability", "status": "ok",
-            "message": "Health-Check uebersprungen (fetch_strategy=skip)",
-        })
-        return checks
-
-    # URL-Schema sicherstellen
-    if url and not url.startswith(("http://", "https://")):
-        url = "https://" + url.lstrip("/")
-
-    # Initialen UA waehlen
-    initial_ua = HEALTH_CHECK_USER_AGENT
-    initial_url = url
-    if strategy == "googlebot":
-        initial_ua = USER_AGENT_GOOGLEBOT
-    elif strategy == "paywall":
-        # Paywall-Quellen: Feed-URL direkt laden, aber mit Browser-UA (versucht Bot-Detection zu umgehen).
-        # removepaywall.com ist fuer Article-URLs, NICHT fuer RSS-Feed-Validity-Checks
-        # (gibt HTML statt XML zurueck). Researcher-Pipeline nutzt removepaywall fuer Inhalte.
-        initial_ua = USER_AGENT_BROWSER
 
     try:
-        resp = await client.get(initial_url, headers={"User-Agent": initial_ua})
-
-        # Paywall-Quellen: 4xx ist erwartbar (Bot-Detection), als warning markieren statt error
-        if strategy == "paywall" and resp.status_code in RETRY_ON_STATUS:
-            checks.append({
-                "type": "reachability", "status": "warning",
-                "message": f"Paywall-Quelle, Direkt-Zugang HTTP {resp.status_code} (Researcher-Pipeline nutzt removepaywall.com fuer Inhalte)",
-            })
-            return checks  # Feed-Validity-Check skippen (Paywall liefert kein RSS)
-
-        # Bot-Block-Retry nur bei strategy='default'
-        if (
-            strategy == "default"
-            and resp.status_code in RETRY_ON_STATUS
-        ):
-            retry = await client.get(url, headers={"User-Agent": USER_AGENT_GOOGLEBOT})
-            if retry.status_code < 400:
-                resp = retry  # Retry hat geholfen
-                checks.append({
-                    "type": "reachability", "status": "warning",
-                    "message": f"Erreichbar nur mit Googlebot-UA (Standard-UA bekam HTTP {initial_url and 'unknown' or 'XXX'})",
-                })
+        resp = await client.get(url)
 
         if resp.status_code >= 400:
             checks.append({
@@ -204,14 +125,14 @@ async def _check_source_reachability(
                 "message": "Erreichbar",
             })
 
-        # Feed-Validität nur für RSS-Feeds
+        # Feed-Validität nur für RSS-Feeds
         if source["source_type"] == "rss_feed":
             text = resp.text[:20000]
             if "<rss" not in text and "<feed" not in text and "<channel" not in text:
                 checks.append({
                     "type": "feed_validity",
                     "status": "error",
-                    "message": "Kein gültiger RSS/Atom-Feed",
+                    "message": "Kein gültiger RSS/Atom-Feed",
                 })
             else:
                 feed = await asyncio.to_thread(feedparser.parse, text)
@@ -234,7 +155,7 @@ async def _check_source_reachability(
                     checks.append({
                         "type": "feed_validity",
                         "status": "ok",
-                        "message": f"Feed gültig ({len(feed.entries)} Einträge)",
+                        "message": f"Feed gültig ({len(feed.entries)} Einträge)",
                     })
 
     except httpx.TimeoutException:
@@ -260,7 +181,7 @@ async def _check_source_reachability(
 
 
 def _check_stale(source: dict) -> dict | None:
-    """Prüft ob eine Quelle veraltet ist (keine Artikel seit >30 Tagen)."""
+    """Prüft ob eine Quelle veraltet ist (keine Artikel seit >30 Tagen)."""
     if source["source_type"] == "excluded":
         return None
 
@@ -328,7 +249,7 @@ async def _save_check(
 
 
 async def get_health_summary(db: aiosqlite.Connection) -> dict:
-    """Gibt eine Zusammenfassung der letzten Health-Check-Ergebnisse zurück."""
+    """Gibt eine Zusammenfassung der letzten Health-Check-Ergebnisse zurück."""
     cursor = await db.execute("""
         SELECT
             h.id, h.source_id, s.name, s.domain, s.url, s.source_type,

src/services/source_suggester.py

@@ -1,4 +1,4 @@
-"""KI-gestützte Quellen-Vorschläge via Haiku."""
+"""KI-gestützte Quellen-Vorschläge via Haiku."""
 import json
 import logging
 import re
@@ -12,8 +12,8 @@ logger = logging.getLogger("osint.source_suggester")
 
 
 async def generate_suggestions(db: aiosqlite.Connection) -> int:
-    """Generiert Quellen-Vorschläge basierend auf Health-Checks und Lückenanalyse."""
-    logger.info("Starte Quellen-Vorschläge via Haiku...")
+    """Generiert Quellen-Vorschläge basierend auf Health-Checks und Lückenanalyse."""
+    logger.info("Starte Quellen-Vorschläge via Haiku...")
 
     # 1. Aktuelle Quellen laden
     cursor = await db.execute(
@@ -33,13 +33,13 @@ async def generate_suggestions(db: aiosqlite.Connection) -> int:
     """)
     issues = [dict(row) for row in await cursor.fetchall()]
 
-    # 3. Alte pending-Vorschläge entfernen (älter als 30 Tage)
+    # 3. Alte pending-Vorschläge entfernen (älter als 30 Tage)
     await db.execute(
         "DELETE FROM source_suggestions "
         "WHERE status = 'pending' AND created_at < datetime('now', '-30 days')"
     )
 
-    # 4. Quellen-Zusammenfassung für Haiku
+    # 4. Quellen-Zusammenfassung für Haiku
     categories = {}
     for s in sources:
         cat = s["category"]
@@ -67,7 +67,7 @@ async def generate_suggestions(db: aiosqlite.Connection) -> int:
                 f"{issue['check_type']} = {issue['status']} - {issue['message']}\n"
             )
 
-    prompt = f"""Du bist ein OSINT-Analyst und verwaltest die Quellensammlung eines Lagebildmonitors für Sicherheitsbehörden.
+    prompt = f"""Du bist ein OSINT-Analyst und verwaltest die Quellensammlung eines Lagebildmonitors für Sicherheitsbehörden.
 
 Aktuelle Quellensammlung:{source_summary}{issues_summary}
 
@@ -78,13 +78,13 @@ Beachte:
 2. Fehlende wichtige OSINT-Quellen: Schlage "add_source" mit konkreter RSS-Feed-URL vor
 3. Fokus auf deutschsprachige + wichtige internationale Nachrichtenquellen
 4. Nur Quellen vorschlagen, die NICHT bereits vorhanden sind
-5. Maximal 5 Vorschläge
+5. Maximal 5 Vorschläge
 
 Antworte NUR mit einem JSON-Array. Jedes Element:
 {{
   "type": "add_source|deactivate_source|fix_url|remove_source",
   "title": "Kurzer Titel",
-  "description": "Begründung",
+  "description": "Begründung",
   "priority": "low|medium|high",
   "source_id": null,
   "data": {{
@@ -104,7 +104,7 @@ Nur das JSON-Array, kein anderer Text."""
 
         json_match = re.search(r'\[.*\]', response, re.DOTALL)
         if not json_match:
-            logger.warning("Keine Vorschläge von Haiku erhalten (kein JSON)")
+            logger.warning("Keine Vorschläge von Haiku erhalten (kein JSON)")
             return 0
 
         suggestions = json.loads(json_match.group(0))
@@ -164,14 +164,14 @@ Nur das JSON-Array, kein anderer Text."""
 
         await db.commit()
         logger.info(
-            f"Quellen-Vorschläge: {count} neue Vorschläge generiert "
+            f"Quellen-Vorschläge: {count} neue Vorschläge generiert "
             f"(Haiku: {usage.input_tokens} in / {usage.output_tokens} out / "
             f"${usage.cost_usd:.4f})"
         )
         return count
 
     except Exception as e:
-        logger.error(f"Fehler bei Quellen-Vorschlägen: {e}", exc_info=True)
+        logger.error(f"Fehler bei Quellen-Vorschlägen: {e}", exc_info=True)
         return 0
 
 
@@ -218,7 +218,7 @@ async def apply_suggestion(
                     (url,),
                 )
                 if await cursor.fetchone():
-                    result["action"] = "übersprungen (URL bereits vorhanden)"
+                    result["action"] = "übersprungen (URL bereits vorhanden)"
                     new_status = "rejected"
                 else:
                     await db.execute(
@@ -230,7 +230,7 @@ async def apply_suggestion(
                     )
                     result["action"] = f"Quelle '{name}' angelegt"
             else:
-                result["action"] = "übersprungen (keine URL)"
+                result["action"] = "übersprungen (keine URL)"
                 new_status = "rejected"
 
         elif stype == "deactivate_source":
@@ -242,7 +242,7 @@ async def apply_suggestion(
                 )
                 result["action"] = "Quelle deaktiviert"
             else:
-                result["action"] = "übersprungen (keine source_id)"
+                result["action"] = "übersprungen (keine source_id)"
 
         elif stype == "remove_source":
             source_id = suggestion["source_id"]
@@ -250,9 +250,9 @@ async def apply_suggestion(
                 await db.execute(
                     "DELETE FROM sources WHERE id = ?", (source_id,),
                 )
-                result["action"] = "Quelle gelöscht"
+                result["action"] = "Quelle gelöscht"
             else:
-                result["action"] = "übersprungen (keine source_id)"
+                result["action"] = "übersprungen (keine source_id)"
 
         elif stype == "fix_url":
             source_id = suggestion["source_id"]
@@ -264,7 +264,7 @@ async def apply_suggestion(
                 )
                 result["action"] = f"URL aktualisiert auf {new_url}"
             else:
-                result["action"] = "übersprungen (keine source_id oder URL)"
+                result["action"] = "übersprungen (keine source_id oder URL)"
 
     await db.execute(
         "UPDATE source_suggestions SET status = ?, reviewed_at = CURRENT_TIMESTAMP "

src/source_rules.py

@@ -649,14 +649,14 @@ async def get_feeds_with_metadata(tenant_id: int = None, source_type: str = "rss
     try:
         if tenant_id:
             cursor = await db.execute(
-                "SELECT name, url, domain, category, notes, COALESCE(article_count, 0) AS article_count FROM sources "
+                "SELECT name, url, domain, category, COALESCE(article_count, 0) AS article_count FROM sources "
                 "WHERE source_type = ? AND status = 'active' "
                 "AND (tenant_id IS NULL OR tenant_id = ?)",
                 (source_type, tenant_id),
             )
         else:
             cursor = await db.execute(
-                "SELECT name, url, domain, category, notes, COALESCE(article_count, 0) AS article_count FROM sources "
+                "SELECT name, url, domain, category, COALESCE(article_count, 0) AS article_count FROM sources "
                 "WHERE source_type = ? AND status = 'active'",
                 (source_type,),
             )

src/static/css/style.css

@@ -549,31 +549,6 @@ a:hover {
     font-weight: 500;
 }
 
-.header-dropdown-action {
-    display: flex;
-    align-items: center;
-    gap: 8px;
-    width: 100%;
-    background: transparent;
-    border: 0;
-    padding: 8px 12px;
-    color: var(--text-secondary);
-    font-size: 12px;
-    font-family: inherit;
-    cursor: pointer;
-    border-radius: 6px;
-    text-align: left;
-    transition: background 0.15s ease, color 0.15s ease;
-}
-.header-dropdown-action:hover {
-    background: var(--bg-hover, rgba(255, 255, 255, 0.04));
-    color: var(--text-primary);
-}
-.header-dropdown-action svg {
-    flex-shrink: 0;
-    color: var(--accent);
-}
-
 .header-license-badge {
     display: inline-block;
     font-size: 10px;
@@ -1729,108 +1704,6 @@ a.dev-source-pill:hover {
     border-radius: var(--radius);
     background: var(--bg-primary);
     border: 1px solid var(--border);
-    cursor: pointer;
-    transition: border-color 0.15s ease, background 0.15s ease;
-    outline: none;
-}
-.source-overview-item:hover {
-    border-color: var(--accent);
-    background: var(--bg-elevated);
-}
-.source-overview-item:focus-visible {
-    box-shadow: 0 0 0 2px var(--tint-accent-strong);
-}
-.source-overview-item.active {
-    border-color: var(--accent);
-    background: var(--tint-accent-subtle);
-    box-shadow: var(--glow-accent);
-}
-
-/* Inline-Aufklapp-Bereich (volle Reihen-Breite, direkt unter dem geklickten Item) */
-.source-overview-detail {
-    grid-column: 1 / -1;
-    padding: var(--sp-md) var(--sp-lg);
-    background: var(--bg-elevated);
-    border: 1px solid var(--accent);
-    border-radius: var(--radius);
-    animation: source-detail-in 0.18s ease;
-}
-@keyframes source-detail-in {
-    from { opacity: 0; transform: translateY(-4px); }
-    to   { opacity: 1; transform: translateY(0); }
-}
-.source-overview-detail-empty {
-    font-size: 12px;
-    color: var(--text-tertiary);
-    font-style: italic;
-}
-.source-overview-detail-list {
-    list-style: none;
-    margin: 0;
-    padding: 0;
-    display: flex;
-    flex-direction: column;
-    gap: 4px;
-    max-height: 320px;
-    overflow-y: auto;
-}
-.source-overview-detail-list::-webkit-scrollbar { width: 6px; }
-.source-overview-detail-list::-webkit-scrollbar-track { background: var(--bg-primary); border-radius: 3px; }
-.source-overview-detail-list::-webkit-scrollbar-thumb { background: var(--text-disabled); border-radius: 3px; }
-.source-overview-detail-list li {
-    font-size: 12px;
-    line-height: 1.4;
-    padding: 4px 0;
-    border-top: 1px dashed var(--border);
-    display: grid;
-    grid-template-columns: auto auto 1fr;
-    gap: var(--sp-md);
-    align-items: baseline;
-}
-.source-overview-detail-list li:first-child { border-top: none; }
-.source-overview-detail-list li a {
-    color: var(--text-primary);
-    text-decoration: none;
-}
-.source-overview-detail-list li a:hover {
-    color: var(--accent);
-    text-decoration: underline;
-}
-.source-overview-detail-num {
-    font-family: var(--font-mono);
-    font-size: 11px;
-    font-weight: 700;
-    color: var(--accent);
-    min-width: 36px;
-    text-align: right;
-    white-space: nowrap;
-}
-.source-overview-detail-num--none {
-    color: var(--text-disabled);
-    font-weight: 400;
-}
-.source-overview-detail-date {
-    font-family: var(--font-mono);
-    font-size: 11px;
-    color: var(--text-tertiary);
-    white-space: nowrap;
-}
-.source-overview-detail-headline {
-    min-width: 0;
-    overflow-wrap: anywhere;
-}
-@media (max-width: 600px) {
-    .source-overview-detail-list li {
-        grid-template-columns: auto 1fr;
-    }
-    .source-overview-detail-date {
-        grid-column: 1 / -1;
-        margin-left: 32px;
-    }
-}
-@media (prefers-reduced-motion: reduce) {
-    .source-overview-detail { animation: none; }
-    .source-overview-item { transition: none; }
 }
 
 .source-overview-name {
@@ -3503,341 +3376,6 @@ a.dev-source-pill:hover {
     color: var(--info);
 }
 
-/* Sources-Modal: Tabs */
-.sources-tabs {
-    display: flex;
-    gap: 2px;
-    border-bottom: 1px solid var(--border-color, rgba(0,0,0,0.1));
-    margin-bottom: 12px;
-}
-.sources-tab {
-    background: transparent;
-    border: none;
-    padding: 8px 16px;
-    font-size: 13px;
-    font-weight: 500;
-    color: var(--text-secondary, #555);
-    cursor: pointer;
-    border-bottom: 2px solid transparent;
-    margin-bottom: -1px;
-    display: inline-flex;
-    align-items: center;
-    gap: 8px;
-}
-.sources-tab:hover {
-    color: var(--text-primary, #222);
-}
-.sources-tab.active {
-    color: var(--primary, #2a81cb);
-    border-bottom-color: var(--primary, #2a81cb);
-}
-.sources-tab-badge {
-    display: inline-flex;
-    align-items: center;
-    justify-content: center;
-    min-width: 20px;
-    padding: 0 6px;
-    height: 18px;
-    border-radius: 9px;
-    background: var(--primary, #2a81cb);
-    color: #fff;
-    font-size: 10px;
-    font-weight: 700;
-}
-
-/* Review-Queue */
-.review-toolbar {
-    display: flex;
-    align-items: center;
-    justify-content: space-between;
-    padding: 8px 12px;
-    background: var(--cat-sonstige-bg, #f6f6fa);
-    border-radius: var(--radius);
-    margin-bottom: 12px;
-    flex-wrap: wrap;
-    gap: 12px;
-}
-.review-toolbar-info {
-    display: flex;
-    align-items: center;
-    gap: 16px;
-    font-size: 13px;
-}
-.review-conf-filter {
-    display: inline-flex;
-    align-items: center;
-    gap: 6px;
-    font-size: 12px;
-    color: var(--text-secondary, #555);
-}
-.review-conf-filter select {
-    padding: 2px 6px;
-    font-size: 12px;
-    border-radius: var(--radius);
-    border: 1px solid var(--border-color, rgba(0,0,0,0.15));
-}
-.review-toolbar-actions {
-    display: flex;
-    gap: 6px;
-}
-
-.review-list {
-    display: flex;
-    flex-direction: column;
-    gap: 8px;
-}
-.review-card {
-    background: var(--surface, #fff);
-    border: 1px solid var(--border-color, rgba(0,0,0,0.08));
-    border-radius: var(--radius);
-    padding: 12px 14px;
-}
-.review-card-header {
-    display: flex;
-    justify-content: space-between;
-    align-items: flex-start;
-    gap: 12px;
-    margin-bottom: 10px;
-}
-.review-card-title {
-    display: flex;
-    flex-wrap: wrap;
-    align-items: center;
-    gap: 8px;
-}
-.review-card-name {
-    font-weight: 600;
-    font-size: 14px;
-}
-.review-card-domain {
-    font-size: 11px;
-    color: var(--text-disabled, #888);
-}
-.review-global-badge {
-    display: inline-flex;
-    align-items: center;
-    padding: 1px 6px;
-    border-radius: var(--radius);
-    background: #5e35b1;
-    color: #fff;
-    font-size: 9px;
-    font-weight: 600;
-    letter-spacing: 0.3px;
-    text-transform: uppercase;
-}
-.review-card-confidence {
-    display: inline-flex;
-    flex-direction: column;
-    align-items: center;
-    padding: 4px 10px;
-    border-radius: var(--radius);
-    min-width: 60px;
-}
-.review-card-confidence .conf-value {
-    font-size: 14px;
-    font-weight: 700;
-}
-.review-card-confidence .conf-label {
-    font-size: 9px;
-    text-transform: uppercase;
-    letter-spacing: 0.3px;
-    opacity: 0.8;
-}
-.review-card-confidence.conf-high { background: #e8f5e9; color: #2e7d32; }
-.review-card-confidence.conf-medium { background: #fff8e1; color: #ef6c00; }
-.review-card-confidence.conf-low { background: #ffebee; color: #c62828; }
-
-.review-card-diff {
-    display: grid;
-    grid-template-columns: 1fr;
-    gap: 4px;
-    font-size: 12px;
-    margin-bottom: 10px;
-}
-.review-diff-row {
-    display: grid;
-    grid-template-columns: 110px 1fr 24px 1fr;
-    align-items: center;
-    gap: 8px;
-    padding: 3px 6px;
-    border-radius: 3px;
-}
-.review-diff-row.changed {
-    background: #fff8e1;
-}
-.review-diff-label {
-    color: var(--text-secondary, #555);
-    font-weight: 500;
-}
-.review-diff-current {
-    color: var(--text-disabled, #888);
-}
-.review-diff-arrow {
-    text-align: center;
-    color: var(--text-disabled, #888);
-    font-weight: 600;
-}
-.review-diff-proposed {
-    color: var(--text-primary, #222);
-    font-weight: 500;
-}
-.review-diff-row.changed .review-diff-proposed {
-    color: #ef6c00;
-    font-weight: 600;
-}
-
-.review-card-reasoning {
-    font-size: 12px;
-    color: var(--text-secondary, #555);
-    background: var(--cat-sonstige-bg, #f6f6fa);
-    padding: 8px 10px;
-    border-radius: var(--radius);
-    margin-bottom: 10px;
-    line-height: 1.5;
-}
-.review-card-actions {
-    display: flex;
-    gap: 6px;
-    flex-wrap: wrap;
-}
-
-/* Klassifikations-Badges (politisch / reliability / alignments / state) */
-.source-classification-badges {
-    display: inline-flex;
-    align-items: center;
-    gap: 4px;
-    flex-wrap: wrap;
-}
-
-.source-political-badge {
-    display: inline-flex;
-    align-items: center;
-    justify-content: center;
-    min-width: 22px;
-    padding: 2px 6px;
-    border-radius: var(--radius);
-    font-size: 10px;
-    font-weight: 700;
-    letter-spacing: 0.4px;
-    color: #fff;
-    background: #9e9e9e;
-}
-.source-political-badge.pol-links_extrem { background: #b71c1c; }
-.source-political-badge.pol-links { background: #e53935; }
-.source-political-badge.pol-mitte_links { background: #ef9a9a; color: #4a0d0d; }
-.source-political-badge.pol-liberal { background: #fdd835; color: #4a3700; }
-.source-political-badge.pol-mitte { background: #9e9e9e; }
-.source-political-badge.pol-konservativ { background: #90caf9; color: #0d2740; }
-.source-political-badge.pol-mitte_rechts { background: #5c6bc0; }
-.source-political-badge.pol-rechts { background: #1976d2; }
-.source-political-badge.pol-rechts_extrem { background: #0d47a1; }
-
-.source-reliability-dot {
-    display: inline-block;
-    width: 10px;
-    height: 10px;
-    border-radius: 50%;
-    background: #9e9e9e;
-    border: 1px solid rgba(0, 0, 0, 0.15);
-}
-.source-reliability-dot.rel-sehr_hoch { background: #2e7d32; }
-.source-reliability-dot.rel-hoch { background: #66bb6a; }
-.source-reliability-dot.rel-gemischt { background: #fbc02d; }
-.source-reliability-dot.rel-niedrig { background: #ef6c00; }
-.source-reliability-dot.rel-sehr_niedrig { background: #c62828; }
-
-.source-state-badge {
-    display: inline-flex;
-    align-items: center;
-    justify-content: center;
-    width: 18px;
-    height: 18px;
-    border-radius: 50%;
-    background: #4a148c;
-    color: #fff;
-    font-size: 11px;
-    line-height: 1;
-}
-
-.source-ifcn-badge {
-    display: inline-flex;
-    align-items: center;
-    padding: 1px 6px;
-    border-radius: var(--radius);
-    background: #e8f5e9;
-    color: #1b5e20;
-    border: 1px solid #66bb6a;
-    font-size: 10px;
-    font-weight: 600;
-    letter-spacing: 0.3px;
-}
-
-.source-eu-disinfo-badge {
-    display: inline-flex;
-    align-items: center;
-    padding: 1px 6px;
-    border-radius: var(--radius);
-    background: #ffebee;
-    color: #b71c1c;
-    border: 1px solid #c62828;
-    font-size: 10px;
-    font-weight: 600;
-    letter-spacing: 0.3px;
-}
-
-.source-alignment-chip-badge {
-    display: inline-flex;
-    align-items: center;
-    padding: 1px 6px;
-    border-radius: 999px;
-    font-size: 10px;
-    font-weight: 500;
-    background: var(--cat-sonstige-bg, #eef);
-    color: var(--text-secondary, #555);
-    border: 1px solid rgba(0, 0, 0, 0.08);
-}
-
-/* Edit-Form: Klassifikations-Sektion */
-.sources-classification-section {
-    margin-top: 12px;
-    padding-top: 12px;
-    border-top: 1px solid var(--border-color, rgba(0,0,0,0.08));
-}
-.sources-classification-header {
-    font-size: 12px;
-    font-weight: 600;
-    color: var(--text-secondary, #555);
-    margin-bottom: 8px;
-    letter-spacing: 0.3px;
-    text-transform: uppercase;
-}
-.alignment-chips {
-    display: flex;
-    flex-wrap: wrap;
-    gap: 6px;
-}
-.alignment-chip {
-    display: inline-flex;
-    align-items: center;
-    padding: 4px 10px;
-    border-radius: 999px;
-    font-size: 11px;
-    font-weight: 500;
-    background: transparent;
-    color: var(--text-secondary, #555);
-    border: 1px solid var(--border-color, rgba(0,0,0,0.15));
-    cursor: pointer;
-    transition: all 0.12s ease;
-}
-.alignment-chip:hover {
-    background: var(--cat-sonstige-bg, #eef);
-}
-.alignment-chip.active {
-    background: var(--primary, #2a81cb);
-    color: #fff;
-    border-color: var(--primary, #2a81cb);
-}
-
 /* Typ-Badges */
 .source-type-badge {
     display: inline-flex;

src/static/dashboard.html

@@ -13,7 +13,7 @@
     <link rel="stylesheet" href="/static/vendor/leaflet.css">
     <link rel="stylesheet" href="/static/vendor/MarkerCluster.css">
     <link rel="stylesheet" href="/static/vendor/MarkerCluster.Default.css">
-    <link rel="stylesheet" href="/static/css/style.css?v=20260501h">
+    <link rel="stylesheet" href="/static/css/style.css?v=20260501e">
 <style>
 /* Export Modal Radio */
 .export-radio { display:flex; align-items:center; gap:10px; padding:8px 12px; cursor:pointer; border-radius:var(--radius-sm); transition:background 0.15s; border:1px solid transparent; margin-bottom:4px; }
@@ -72,11 +72,6 @@
                                 <span class="credits-percent" id="credits-percent"></span>
                             </div>
                         </div>
-                        <div class="credits-divider"></div>
-                        <button class="header-dropdown-action" type="button" onclick="AIDisclaimer && AIDisclaimer.show()">
-                            <svg xmlns="http://www.w3.org/2000/svg" width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true"><circle cx="12" cy="12" r="10"/><path d="M12 16v-4"/><path d="M12 8h.01"/></svg>
-                            <span>Über KI-Inhalte</span>
-                        </button>
                     </div>
                 </div>
                 <div class="header-license-warning" id="header-license-warning"></div>
@@ -123,14 +118,8 @@
                 <div id="archived-incidents" aria-live="polite" style="display:none;"></div>
             </div>
             <div class="sidebar-sources-link">
-                <button class="btn btn-secondary btn-full btn-small" onclick="App.openSourceManagement()" title="Quellen verwalten">
-                    <svg xmlns="http://www.w3.org/2000/svg" width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true"><ellipse cx="12" cy="5" rx="9" ry="3"/><path d="M3 5v14c0 1.66 4.03 3 9 3s9-1.34 9-3V5"/><path d="M3 12c0 1.66 4.03 3 9 3s9-1.34 9-3"/></svg>
-                    <span>Quellen</span>
-                </button>
-                <button class="btn btn-secondary btn-full btn-small sidebar-feedback-btn" onclick="App.openFeedback()" title="Feedback senden">
-                    <svg xmlns="http://www.w3.org/2000/svg" width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true"><rect width="20" height="16" x="2" y="4" rx="2"/><path d="m22 7-10 5L2 7"/></svg>
-                    <span>Feedback</span>
-                </button>
+                <button class="btn btn-secondary btn-full btn-small" onclick="App.openSourceManagement()">Quellen verwalten</button>
+                <button class="btn btn-secondary btn-full btn-small sidebar-feedback-btn" onclick="App.openFeedback()">Feedback senden</button>
                 <!-- Tutorial-Einstieg temporaer deaktiviert (Ueberarbeitung) - reaktivieren durch Entfernen der Kommentarzeichen:
                 <button class="btn btn-secondary btn-full btn-small" onclick="Tutorial.start()" title="Interaktiven Rundgang starten">Rundgang starten</button>
                 -->
@@ -362,9 +351,9 @@
                         <label>Quellen</label>
                         <div class="toggle-group">
                             <label class="toggle-label">
-                                <input type="checkbox" id="inc-international">
+                                <input type="checkbox" id="inc-international" checked>
                                 <span class="toggle-switch"></span>
-                                <span class="toggle-text">Internationale Quellen einbeziehen <span class="info-icon tooltip-below" data-tooltip="Aktiviert: Sucht auch in englischsprachigen und internationalen Medien.&#10;&#10;Deaktiviert (Standard): Nur deutschsprachige Quellen - empfohlen für DACH-Lagen."><svg xmlns="http://www.w3.org/2000/svg" width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><circle cx="12" cy="12" r="10"/><path d="M12 16v-4"/><path d="M12 8h.01"/></svg></span></span>
+                                <span class="toggle-text">Internationale Quellen einbeziehen <span class="info-icon tooltip-below" data-tooltip="Aktiviert: Sucht auch in englischsprachigen und internationalen Medien.&#10;&#10;Deaktiviert: Nur deutschsprachige Quellen."><svg xmlns="http://www.w3.org/2000/svg" width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><circle cx="12" cy="12" r="10"/><path d="M12 16v-4"/><path d="M12 8h.01"/></svg></span></span>
                             </label>
                         </div>
                         <div class="toggle-group" style="margin-top: 8px;">
@@ -456,15 +445,6 @@
                 <!-- Stats-Leiste -->
                 <div class="sources-stats-bar" id="sources-stats-bar"></div>
 
-                <!-- Tabs: Liste vs. Klassifikations-Review -->
-                <div class="sources-tabs" role="tablist">
-                    <button type="button" class="sources-tab active" id="sources-tab-list" role="tab" aria-selected="true" onclick="App.switchSourcesTab('list')">Quellenliste</button>
-                    <button type="button" class="sources-tab" id="sources-tab-review" role="tab" aria-selected="false" onclick="App.switchSourcesTab('review')" style="display:none;">Klassifikations-Review <span id="sources-review-count" class="sources-tab-badge">0</span></button>
-                </div>
-
-                <!-- View: Quellenliste -->
-                <div id="sources-list-view">
-
                 <!-- Toolbar -->
                 <div class="sources-toolbar">
                     <div class="sources-filters">
@@ -490,76 +470,6 @@
                             <option value="boulevard">Boulevard</option>
                             <option value="sonstige">Sonstige</option>
                         </select>
-                        <label for="sources-filter-political" class="sr-only">Politische Ausrichtung filtern</label>
-                        <select id="sources-filter-political" class="timeline-filter-select" onchange="App.filterSources()">
-                            <option value="">Alle Ausrichtungen</option>
-                            <option value="links_extrem">Links (extrem)</option>
-                            <option value="links">Links</option>
-                            <option value="mitte_links">Mitte-Links</option>
-                            <option value="liberal">Liberal</option>
-                            <option value="mitte">Mitte</option>
-                            <option value="konservativ">Konservativ</option>
-                            <option value="mitte_rechts">Mitte-Rechts</option>
-                            <option value="rechts">Rechts</option>
-                            <option value="rechts_extrem">Rechts (extrem)</option>
-                            <option value="na">Nicht eingeordnet</option>
-                        </select>
-                        <label for="sources-filter-mediatype" class="sr-only">Medientyp filtern</label>
-                        <select id="sources-filter-mediatype" class="timeline-filter-select" onchange="App.filterSources()">
-                            <option value="">Alle Medientypen</option>
-                            <option value="tageszeitung">Tageszeitung</option>
-                            <option value="wochenzeitung">Wochenzeitung</option>
-                            <option value="magazin">Magazin</option>
-                            <option value="tv_sender">TV-Sender</option>
-                            <option value="radio">Radio</option>
-                            <option value="oeffentlich_rechtlich">Öffentlich-Rechtlich</option>
-                            <option value="nachrichtenagentur">Nachrichtenagentur</option>
-                            <option value="online_only">Online-only</option>
-                            <option value="blog">Blog</option>
-                            <option value="telegram_kanal">Telegram-Kanal</option>
-                            <option value="telegram_bot">Telegram-Bot</option>
-                            <option value="podcast">Podcast</option>
-                            <option value="social_media">Social Media</option>
-                            <option value="imageboard">Imageboard</option>
-                            <option value="think_tank">Think Tank</option>
-                            <option value="ngo">NGO</option>
-                            <option value="behoerde">Behörde</option>
-                            <option value="staatsmedium">Staatsmedium</option>
-                            <option value="fachmedium">Fachmedium</option>
-                            <option value="sonstige">Sonstige</option>
-                        </select>
-                        <label for="sources-filter-reliability" class="sr-only">Glaubwürdigkeit filtern</label>
-                        <select id="sources-filter-reliability" class="timeline-filter-select" onchange="App.filterSources()">
-                            <option value="">Alle Glaubwürdigkeiten</option>
-                            <option value="sehr_hoch">Sehr hoch</option>
-                            <option value="hoch">Hoch</option>
-                            <option value="gemischt">Gemischt</option>
-                            <option value="niedrig">Niedrig</option>
-                            <option value="sehr_niedrig">Sehr niedrig</option>
-                            <option value="na">Nicht eingeordnet</option>
-                        </select>
-                        <label for="sources-filter-extern" class="sr-only">Externe Reputation filtern</label>
-                        <select id="sources-filter-extern" class="timeline-filter-select" onchange="App.filterSources()">
-                            <option value="">Externe Reputation: alle</option>
-                            <option value="ifcn">IFCN-Faktenchecker</option>
-                            <option value="eu_disinfo">EU-Desinfo gelistet</option>
-                        </select>
-                        <label for="sources-filter-alignment" class="sr-only">Geopolitische Nähe filtern</label>
-                        <select id="sources-filter-alignment" class="timeline-filter-select" onchange="App.filterSources()">
-                            <option value="">Alle Nähen</option>
-                            <option value="prorussisch">Prorussisch</option>
-                            <option value="proiranisch">Proiranisch</option>
-                            <option value="prowestlich">Prowestlich</option>
-                            <option value="proukrainisch">Proukrainisch</option>
-                            <option value="prochinesisch">Prochinesisch</option>
-                            <option value="projapanisch">Projapanisch</option>
-                            <option value="proisraelisch">Proisraelisch</option>
-                            <option value="propalaestinensisch">Propalästinensisch</option>
-                            <option value="protuerkisch">Protürkisch</option>
-                            <option value="panarabisch">Panarabisch</option>
-                            <option value="neutral">Neutral</option>
-                            <option value="sonstige">Sonstige</option>
-                        </select>
                         <label for="sources-search" class="sr-only">Quellen durchsuchen</label>
                         <input type="text" id="sources-search" class="timeline-filter-input sources-search-input" placeholder="Suche..." oninput="App.filterSources()">
                     </div>
@@ -627,89 +537,6 @@
                                 <input type="text" id="src-notes" placeholder="Optional">
                             </div>
                         </div>
-                        <div class="sources-classification-section">
-                            <div class="sources-classification-header">Einordnung</div>
-                            <div class="sources-add-form-grid">
-                                <div class="form-group">
-                                    <label for="src-political">Politische Ausrichtung</label>
-                                    <select id="src-political">
-                                        <option value="na">Nicht eingeordnet</option>
-                                        <option value="links_extrem">Links (extrem)</option>
-                                        <option value="links">Links</option>
-                                        <option value="mitte_links">Mitte-Links</option>
-                                        <option value="liberal">Liberal</option>
-                                        <option value="mitte">Mitte</option>
-                                        <option value="konservativ">Konservativ</option>
-                                        <option value="mitte_rechts">Mitte-Rechts</option>
-                                        <option value="rechts">Rechts</option>
-                                        <option value="rechts_extrem">Rechts (extrem)</option>
-                                    </select>
-                                </div>
-                                <div class="form-group">
-                                    <label for="src-mediatype">Medientyp</label>
-                                    <select id="src-mediatype">
-                                        <option value="sonstige">Sonstige</option>
-                                        <option value="tageszeitung">Tageszeitung</option>
-                                        <option value="wochenzeitung">Wochenzeitung</option>
-                                        <option value="magazin">Magazin</option>
-                                        <option value="tv_sender">TV-Sender</option>
-                                        <option value="radio">Radio</option>
-                                        <option value="oeffentlich_rechtlich">Öffentlich-Rechtlich</option>
-                                        <option value="nachrichtenagentur">Nachrichtenagentur</option>
-                                        <option value="online_only">Online-only</option>
-                                        <option value="blog">Blog</option>
-                                        <option value="telegram_kanal">Telegram-Kanal</option>
-                                        <option value="telegram_bot">Telegram-Bot</option>
-                                        <option value="podcast">Podcast</option>
-                                        <option value="social_media">Social Media</option>
-                                        <option value="imageboard">Imageboard</option>
-                                        <option value="think_tank">Think Tank</option>
-                                        <option value="ngo">NGO</option>
-                                        <option value="behoerde">Behörde</option>
-                                        <option value="staatsmedium">Staatsmedium</option>
-                                        <option value="fachmedium">Fachmedium</option>
-                                    </select>
-                                </div>
-                                <div class="form-group">
-                                    <label for="src-reliability">Glaubwürdigkeit</label>
-                                    <select id="src-reliability">
-                                        <option value="na">Nicht eingeordnet</option>
-                                        <option value="sehr_hoch">Sehr hoch</option>
-                                        <option value="hoch">Hoch</option>
-                                        <option value="gemischt">Gemischt</option>
-                                        <option value="niedrig">Niedrig</option>
-                                        <option value="sehr_niedrig">Sehr niedrig</option>
-                                    </select>
-                                </div>
-                                <div class="form-group">
-                                    <label for="src-country">Land (ISO 3166)</label>
-                                    <input type="text" id="src-country" maxlength="2" placeholder="z.B. DE, RU, US" style="text-transform:uppercase;">
-                                </div>
-                                <div class="form-group">
-                                    <label class="checkbox-label" style="display:flex;align-items:center;gap:8px;">
-                                        <input type="checkbox" id="src-state-affiliated">
-                                        <span>Staatsnah/-kontrolliert</span>
-                                    </label>
-                                </div>
-                            </div>
-                            <div class="form-group" style="margin-top:8px;">
-                                <label>Geopolitische Nähe (Mehrfachauswahl)</label>
-                                <div id="src-alignments-chips" class="alignment-chips" onclick="App.handleAlignmentChipClick(event)">
-                                    <button type="button" class="alignment-chip" data-alignment="prorussisch">prorussisch</button>
-                                    <button type="button" class="alignment-chip" data-alignment="proiranisch">proiranisch</button>
-                                    <button type="button" class="alignment-chip" data-alignment="prowestlich">prowestlich</button>
-                                    <button type="button" class="alignment-chip" data-alignment="proukrainisch">proukrainisch</button>
-                                    <button type="button" class="alignment-chip" data-alignment="prochinesisch">prochinesisch</button>
-                                    <button type="button" class="alignment-chip" data-alignment="projapanisch">projapanisch</button>
-                                    <button type="button" class="alignment-chip" data-alignment="proisraelisch">proisraelisch</button>
-                                    <button type="button" class="alignment-chip" data-alignment="propalaestinensisch">propalästinensisch</button>
-                                    <button type="button" class="alignment-chip" data-alignment="protuerkisch">protürkisch</button>
-                                    <button type="button" class="alignment-chip" data-alignment="panarabisch">panarabisch</button>
-                                    <button type="button" class="alignment-chip" data-alignment="neutral">neutral</button>
-                                    <button type="button" class="alignment-chip" data-alignment="sonstige">sonstige</button>
-                                </div>
-                            </div>
-                        </div>
                         <div class="sources-discovery-actions">
                             <button class="btn btn-primary btn-small" onclick="App.saveSource()">Speichern</button>
                             <button class="btn btn-secondary btn-small" onclick="App.toggleSourceForm(false)">Abbrechen</button>
@@ -721,36 +548,6 @@
                 <div class="sources-list" id="sources-list">
                     <div class="empty-state-text" style="padding:var(--sp-3xl);text-align:center;">Lade Quellen...</div>
                 </div>
-
-                </div>
-                <!-- /sources-list-view -->
-
-                <!-- View: Klassifikations-Review (Admin-only) -->
-                <div id="sources-review-view" style="display:none;">
-                    <div class="review-toolbar">
-                        <div class="review-toolbar-info">
-                            <span><strong id="review-pending-count">0</strong> Vorschlaege ausstehend</span>
-                            <label class="review-conf-filter">
-                                Mindest-Konfidenz:
-                                <select id="review-min-confidence" onchange="App.loadClassificationQueue()">
-                                    <option value="0">alle</option>
-                                    <option value="0.5">0.5+</option>
-                                    <option value="0.7">0.7+</option>
-                                    <option value="0.85">0.85+</option>
-                                    <option value="0.9">0.9+</option>
-                                </select>
-                            </label>
-                        </div>
-                        <div class="review-toolbar-actions">
-                            <button class="btn btn-small btn-secondary" onclick="App.triggerExternalReputationSync()" title="IFCN-Faktenchecker-Liste und EUvsDisinfo-Daten synchronisieren">Externe Daten syncen</button>
-                            <button class="btn btn-small btn-secondary" onclick="App.triggerBulkClassify()" title="LLM-Klassifikation fuer noch unklassifizierte Quellen starten">+ Klassifikation starten</button>
-                            <button class="btn btn-small btn-primary" onclick="App.bulkApproveHighConfidence()" title="Alle Vorschlaege ueber dem Konfidenz-Schwellwert genehmigen">Alle &ge; 0.85 genehmigen</button>
-                        </div>
-                    </div>
-                    <div class="review-list" id="sources-review-list">
-                        <div class="empty-state-text" style="padding:var(--sp-3xl);text-align:center;">Lade Review-Queue...</div>
-                    </div>
-                </div>
             </div>
         </div>
     </div>
@@ -849,8 +646,8 @@
     <script src="/static/js/ws.js?v=20260316b"></script>
     <script src="/static/js/components.js?v=20260427a"></script>
     <script src="/static/js/layout.js?v=20260316b"></script>
-    <script src="/static/js/pipeline.js?v=20260501i"></script>
-    <script src="/static/js/app.js?v=20260501h"></script>
+    <script src="/static/js/pipeline.js?v=20260501a"></script>
+    <script src="/static/js/app.js?v=20260501e"></script>
     <script src="/static/js/cluster-data.js?v=20260322f"></script>
     <script src="/static/js/tutorial.js?v=20260316z"></script>
     <script src="/static/js/chat.js?v=20260422a"></script>
@@ -941,6 +738,5 @@
     </div>
 
     <script src="/static/js/update-system.js"></script>
-    <script src="/static/js/ai-disclaimer.js"></script>
 </body>
 </html>

src/static/js/ai-disclaimer.js

@@ -1,195 +0,0 @@
-/**
- * AI-Hallucination-Disclaimer fuer den AegisSight Monitor.
- *
- * Zeigt:
- *   1) Beim ersten Besuch (oder bei neuem v-Bump) ein Modal mit Hinweisen
- *      zur Fehlbarkeit von KI-Modellen.
- *   2) Im Header-User-Dropdown immer einen Eintrag "Ueber KI-Inhalte",
- *      ueber den der User das Modal jederzeit erneut oeffnen kann.
- *
- * Persistenz:
- *   localStorage 'aegis_ai_disclaimer_seen' -> Versionsstring (z.B. "v1").
- *   Wenn die Version sich aendert (Wortlaut-Update), erscheint das Modal
- *   beim naechsten Login erneut.
- */
-(function () {
-    'use strict';
-
-    const STORAGE_KEY = 'aegis_ai_disclaimer_seen';
-    const CURRENT_VERSION = 'v1';
-
-    // ---- DOM-Helpers (analog zu update-system.js) ----
-    function el(tag, attrs, ...children) {
-        const e = document.createElement(tag);
-        for (const k in (attrs || {})) {
-            if (k === 'class') e.className = attrs[k];
-            else if (k === 'html') e.innerHTML = attrs[k];
-            else if (k.startsWith('on')) e.addEventListener(k.slice(2), attrs[k]);
-            else e.setAttribute(k, attrs[k]);
-        }
-        for (const c of children) {
-            if (c == null) continue;
-            e.appendChild(typeof c === 'string' ? document.createTextNode(c) : c);
-        }
-        return e;
-    }
-
-    function injectStyles() {
-        if (document.getElementById('aegis-aidisc-styles')) return;
-        const css = `
-        #aegis-aidisc-overlay {
-            position: fixed; inset: 0; background: rgba(0,0,0,0.55); z-index: 99998;
-            backdrop-filter: blur(3px);
-            display: flex; align-items: center; justify-content: center; padding: 24px;
-            animation: aegis-aidisc-fade 0.25s ease;
-        }
-        @keyframes aegis-aidisc-fade { from { opacity: 0; } to { opacity: 1; } }
-        #aegis-aidisc-modal {
-            background: var(--bg-card);
-            color: var(--text-primary);
-            border-radius: 14px;
-            border: 1px solid var(--border);
-            box-shadow: 0 24px 80px rgba(0,0,0,0.4);
-            font-family: 'Inter', -apple-system, sans-serif;
-            max-width: 580px; width: 100%; max-height: 85vh; overflow: hidden;
-            display: flex; flex-direction: column;
-        }
-        #aegis-aidisc-modal header {
-            padding: 22px 28px 18px; border-bottom: 1px solid var(--border);
-            display: flex; align-items: center; gap: 12px;
-        }
-        #aegis-aidisc-modal header svg { color: var(--accent); flex-shrink: 0; }
-        #aegis-aidisc-modal h2 { margin: 0; color: var(--accent); font-size: 1.25rem; font-weight: 700; }
-        #aegis-aidisc-modal .body { padding: 18px 28px; overflow-y: auto; line-height: 1.55; }
-        #aegis-aidisc-modal .body p { margin: 0 0 12px; color: var(--text-primary); font-size: 0.94rem; }
-        #aegis-aidisc-modal .body strong { color: var(--accent); }
-        #aegis-aidisc-modal .body ul { margin: 8px 0 14px; padding-left: 22px; }
-        #aegis-aidisc-modal .body li { margin-bottom: 6px; color: var(--text-secondary); font-size: 0.92rem; }
-        #aegis-aidisc-modal .footnote {
-            margin-top: 10px; padding-top: 12px; border-top: 1px solid var(--border);
-            color: var(--text-tertiary); font-size: 0.82rem;
-        }
-        #aegis-aidisc-modal footer {
-            padding: 14px 28px 20px; border-top: 1px solid var(--border);
-            display: flex; justify-content: flex-end; gap: 10px;
-        }
-        #aegis-aidisc-modal footer button {
-            background: var(--accent); color: #fff; border: 0; padding: 10px 22px;
-            border-radius: 6px; font: inherit; font-size: 0.92rem; font-weight: 600;
-            cursor: pointer;
-        }
-        #aegis-aidisc-modal footer button:hover { background: var(--accent-hover); }
-        #aegis-aidisc-modal footer button.secondary {
-            background: transparent; color: var(--text-secondary); border: 1px solid var(--border);
-        }
-        #aegis-aidisc-modal footer button.secondary:hover {
-            background: var(--bg-hover, rgba(255,255,255,0.04)); color: var(--text-primary);
-        }`;
-        document.head.appendChild(el('style', { id: 'aegis-aidisc-styles', html: css }));
-    }
-
-    // ---- Modal-Aufbau ----
-    function buildModal(opts) {
-        const isFromUser = !!(opts && opts.fromUserAction);
-
-        // Lucide info-Icon (gleiches Pattern wie .info-icon im Repo)
-        const headerIcon = el('span', {
-            html: '<svg xmlns="http://www.w3.org/2000/svg" width="22" height="22" '
-                + 'viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" '
-                + 'stroke-linecap="round" stroke-linejoin="round">'
-                + '<circle cx="12" cy="12" r="10"/>'
-                + '<path d="M12 16v-4"/><path d="M12 8h.01"/></svg>'
-        });
-
-        const body = el('div', { class: 'body' });
-        body.appendChild(el('p', null,
-            'Der AegisSight Monitor nutzt Künstliche Intelligenz '
-            + 'zur Analyse, Übersetzung und Zusammenfassung von Nachrichten.'));
-
-        const warn = el('p');
-        warn.innerHTML = '<strong>KI-Modelle können Fehler machen</strong> '
-            + '(sogenannte „Halluzinationen"): erfundene Details, falsche Verbindungen oder '
-            + 'ungenaue Zusammenfassungen sind möglich, auch wenn der Text plausibel klingt.';
-        body.appendChild(warn);
-
-        body.appendChild(el('p', null, 'Wir empfehlen daher:'));
-        body.appendChild(el('ul', null,
-            el('li', null, 'Wichtige Informationen mit den verlinkten Quellen verifizieren'),
-            el('li', null, 'Bei kritischen Entscheidungen die Originalartikel prüfen'),
-            el('li', null, 'Faktenchecks als Hinweis verstehen, nicht als endgültige Wahrheit')
-        ));
-
-        body.appendChild(el('p', { class: 'footnote' },
-            'Diesen Hinweis findest du jederzeit wieder im Menü oben rechts unter „Über KI-Inhalte".'));
-
-        const closeAndStore = () => {
-            try { localStorage.setItem(STORAGE_KEY, CURRENT_VERSION); } catch (e) {}
-            overlay.remove();
-            document.removeEventListener('keydown', escHandler);
-        };
-        const closeOnly = () => {
-            overlay.remove();
-            document.removeEventListener('keydown', escHandler);
-        };
-
-        const footer = el('footer', null);
-        if (!isFromUser) {
-            footer.appendChild(el('button', { class: 'secondary', onclick: closeOnly }, 'Später nochmal'));
-        }
-        footer.appendChild(el('button', { onclick: closeAndStore }, 'Verstanden'));
-
-        const overlay = el('div', { id: 'aegis-aidisc-overlay' },
-            el('div', { id: 'aegis-aidisc-modal' },
-                el('header', null, headerIcon, el('h2', null, 'Hinweis zu KI-generierten Inhalten')),
-                body,
-                footer
-            )
-        );
-
-        function escHandler(ev) {
-            if (ev.key === 'Escape' && document.getElementById('aegis-aidisc-overlay')) {
-                // ESC = wie "Verstanden" beim erstmaligen Anzeigen, sonst nur schliessen
-                if (isFromUser) closeOnly(); else closeAndStore();
-            }
-        }
-        overlay.addEventListener('click', (ev) => {
-            if (ev.target === overlay) {
-                if (isFromUser) closeOnly(); else closeAndStore();
-            }
-        });
-        document.addEventListener('keydown', escHandler);
-
-        return overlay;
-    }
-
-    function show(opts) {
-        if (document.getElementById('aegis-aidisc-overlay')) return;
-        injectStyles();
-        document.body.appendChild(buildModal(opts));
-    }
-
-    function init() {
-        // Nur auf der Dashboard-Seite zeigen, nicht auf der Login-Seite
-        if (!document.body || document.body.classList.contains('login-page')) return;
-
-        injectStyles();
-        let seenVersion = '';
-        try { seenVersion = localStorage.getItem(STORAGE_KEY) || ''; } catch (e) {}
-        if (seenVersion !== CURRENT_VERSION) {
-            // Etwas verzoegern, damit Hauptdashboard sichtbar ist bevor Modal kommt
-            setTimeout(() => show({ fromUserAction: false }), 600);
-        }
-    }
-
-    // Globaler Zugriff zum manuellen Oeffnen aus dem Header-Dropdown
-    window.AIDisclaimer = {
-        show: () => show({ fromUserAction: true }),
-        VERSION: CURRENT_VERSION,
-    };
-
-    if (document.readyState === 'loading') {
-        document.addEventListener('DOMContentLoaded', init);
-    } else {
-        init();
-    }
-})();

src/static/js/api.js

@@ -67,29 +67,6 @@ const API = {
             } else if (typeof detail === 'object' && detail !== null) {
                 detail = JSON.stringify(detail);
             }
-
-            // Lizenz-Status aus Header auslesen (vom Backend gesetzt bei 403)
-            const licStatus = response.headers.get('X-License-Status');
-            if (response.status === 403 && licStatus && typeof App !== 'undefined') {
-                if (!App.user) App.user = {};
-                App.user.read_only = true;
-                App.user.read_only_reason = licStatus;
-                const warningEl = document.getElementById('header-license-warning');
-                if (warningEl) {
-                    let text = 'Nur Lesezugriff';
-                    if (licStatus === 'budget_exceeded') text = 'Token-Budget aufgebraucht – nur Lesezugriff. Bitte Verwaltung kontaktieren.';
-                    else if (licStatus === 'expired') text = 'Lizenz abgelaufen – nur Lesezugriff';
-                    else if (licStatus === 'no_license') text = 'Keine aktive Lizenz – nur Lesezugriff';
-                    else if (licStatus === 'org_disabled') text = 'Organisation deaktiviert – nur Lesezugriff';
-                    warningEl.textContent = text;
-                    warningEl.classList.add('visible');
-                }
-                if (typeof App._updateRefreshButton === 'function') App._updateRefreshButton(false);
-                if (typeof UI !== 'undefined' && UI.showToast) {
-                    UI.showToast(detail || 'Lizenz-Beschränkung – nur Lesezugriff', 'error');
-                }
-            }
-
             throw new ApiError(response.status, detail);
         }
 
@@ -198,46 +175,10 @@ const API = {
         if (params.source_type) query.set('source_type', params.source_type);
         if (params.category) query.set('category', params.category);
         if (params.source_status) query.set('source_status', params.source_status);
-        if (params.political_orientation) query.set('political_orientation', params.political_orientation);
-        if (params.media_type) query.set('media_type', params.media_type);
-        if (params.reliability) query.set('reliability', params.reliability);
-        if (params.alignment) query.set('alignment', params.alignment);
-        if (params.state_affiliated !== undefined && params.state_affiliated !== null) {
-            query.set('state_affiliated', String(params.state_affiliated));
-        }
         const qs = query.toString();
         return this._request('GET', `/sources${qs ? '?' + qs : ''}`);
     },
 
-    // Sources: Klassifikations-Review (LLM)
-    getClassificationStats() {
-        return this._request('GET', '/sources/classification/stats');
-    },
-    getClassificationQueue(limit = 50, minConfidence = 0.0) {
-        const qs = new URLSearchParams({ limit: String(limit), min_confidence: String(minConfidence) }).toString();
-        return this._request('GET', `/sources/classification/queue?${qs}`);
-    },
-    approveClassification(id) {
-        return this._request('POST', `/sources/${id}/classification/approve`);
-    },
-    rejectClassification(id) {
-        return this._request('POST', `/sources/${id}/classification/reject`);
-    },
-    reclassifySource(id) {
-        return this._request('POST', `/sources/${id}/classification/reclassify`);
-    },
-    triggerBulkClassify(limit = 50, onlyUnclassified = true) {
-        const qs = new URLSearchParams({ limit: String(limit), only_unclassified: String(onlyUnclassified) }).toString();
-        return this._request('POST', `/sources/classification/bulk-classify?${qs}`);
-    },
-    bulkApproveClassifications(minConfidence = 0.85) {
-        const qs = new URLSearchParams({ min_confidence: String(minConfidence) }).toString();
-        return this._request('POST', `/sources/classification/bulk-approve?${qs}`);
-    },
-    triggerExternalReputationSync() {
-        return this._request('POST', '/sources/external-reputation/sync');
-    },
-
     createSource(data) {
         return this._request('POST', '/sources', data);
     },

src/static/js/app.js

@@ -450,7 +450,6 @@ const App = {
 
         try {
             const user = await API.getMe();
-            this.user = user;
             this._currentUsername = user.email;
             document.getElementById('header-user').textContent = user.email;
 
@@ -516,27 +515,11 @@ const App = {
                 });
             }
 
-            // Warnung bei Read-Only (Lizenz abgelaufen oder Token-Budget aufgebraucht)
+            // Warnung bei abgelaufener Lizenz
             const warningEl = document.getElementById('header-license-warning');
-            if (warningEl) {
-                if (user.read_only) {
-                    let text = 'Nur Lesezugriff';
-                    const reason = user.read_only_reason;
-                    if (reason === 'budget_exceeded') {
-                        text = 'Token-Budget aufgebraucht – nur Lesezugriff. Für Aufstockung oder Upgrade bitte info@aegis-sight.de kontaktieren.';
-                    } else if (reason === 'expired') {
-                        text = 'Lizenz abgelaufen – nur Lesezugriff';
-                    } else if (reason === 'no_license') {
-                        text = 'Keine aktive Lizenz – nur Lesezugriff';
-                    } else if (reason === 'org_disabled') {
-                        text = 'Organisation deaktiviert – nur Lesezugriff';
-                    }
-                    warningEl.textContent = text;
+            if (warningEl && user.read_only) {
+                warningEl.textContent = 'Lizenz abgelaufen – nur Lesezugriff';
                 warningEl.classList.add('visible');
-                } else {
-                    warningEl.textContent = '';
-                    warningEl.classList.remove('visible');
-                }
             }
 
             // --- Global Admin: Org-Switcher (herausnehmbar) ---
@@ -618,10 +601,6 @@ const App = {
                     const inc = this.incidents.find(i => i.id === id);
                     const isFirst = inc && !inc.has_summary;
                     UI.showProgress('queued', { queue_position: idx + 1 }, id, isFirst);
-                    // Pipeline-Reset auch nach F5: aktive Lage in Queue -> Icons grau
-                    if (id === this.currentIncidentId && typeof Pipeline !== 'undefined' && Pipeline.beginQueue) {
-                        Pipeline.beginQueue(id);
-                    }
                 });
             }
 
@@ -887,97 +866,6 @@ const App = {
         }
     },
 
-    /** Klick auf eine Quellen-Box: Liste der Artikel inline aufklappen (mutual-exclusive). */
-    toggleSourceOverviewDetail(el) {
-        if (!el) return;
-        const grid = el.parentElement;
-        if (!grid) return;
-        const sourceName = el.dataset.source || '';
-        const wasActive = el.classList.contains('active');
-
-        // Alle anderen schliessen + bestehendes Detail entfernen
-        grid.querySelectorAll('.source-overview-item.active').forEach(it => {
-            it.classList.remove('active');
-            it.setAttribute('aria-expanded', 'false');
-        });
-        const existingDetail = grid.querySelector('.source-overview-detail');
-        if (existingDetail) existingDetail.remove();
-
-        // Wenn das geklickte Item bereits aktiv war: nur schliessen
-        if (wasActive) return;
-
-        // Neues Detail einfuegen direkt nach dem geklickten Item
-        el.classList.add('active');
-        el.setAttribute('aria-expanded', 'true');
-
-        const type = this._currentIncidentType;
-        const getDate = (a) => (type === 'research' && a.published_at) ? a.published_at : (a.collected_at || a.published_at);
-        const articles = (this._currentArticles || [])
-            .filter(a => (a.source || 'Unbekannt') === sourceName)
-            .sort((a, b) => {
-                const ta = new Date(getDate(a) || 0).getTime();
-                const tb = new Date(getDate(b) || 0).getTime();
-                return tb - ta;
-            });
-
-        // Lagebild-Quellennummer pro Artikel ermitteln (matcht Artikel zu sources_json)
-        const normalize = (s) => (s || '').toLowerCase().replace(/^(der|die|das)\s+/, '').replace(/\s+/g, ' ').trim();
-        const sourcesList = this._currentSources || [];
-        const urlToNr = new Map();
-        sourcesList.forEach(s => {
-            if (s.url && s.nr != null) urlToNr.set(String(s.url).trim(), s.nr);
-        });
-        const findNr = (a) => {
-            // 1) Exakter URL-Match
-            if (a.source_url) {
-                const exact = urlToNr.get(String(a.source_url).trim());
-                if (exact != null) return exact;
-            }
-            // 2) Fallback: Match via Quellen-Namen (kann mehrfach treffen, nimm erstes)
-            if (a.source) {
-                const target = normalize(a.source);
-                const hit = sourcesList.find(s => s.nr != null && normalize(s.name) === target);
-                if (hit) return hit.nr;
-            }
-            return null;
-        };
-
-        const detail = document.createElement('div');
-        detail.className = 'source-overview-detail';
-        if (articles.length === 0) {
-            detail.innerHTML = '<div class="source-overview-detail-empty">Keine Artikel gefunden.</div>';
-        } else {
-            const fmtDate = (ts) => {
-                if (!ts) return '—';
-                try {
-                    const d = new Date(ts);
-                    if (isNaN(d.getTime())) return '—';
-                    return d.toLocaleDateString('de-DE', { day: '2-digit', month: '2-digit', year: '2-digit', timeZone: TIMEZONE })
-                        + ' '
-                        + d.toLocaleTimeString('de-DE', { hour: '2-digit', minute: '2-digit', timeZone: TIMEZONE });
-                } catch (e) { return '—'; }
-            };
-            const items = articles.map(a => {
-                const nr = findNr(a);
-                const numHtml = nr != null
-                    ? `<span class="source-overview-detail-num">[${UI.escape(String(nr))}]</span>`
-                    : `<span class="source-overview-detail-num source-overview-detail-num--none" title="Nicht im Lagebild zitiert">—</span>`;
-                const dateStr = fmtDate(getDate(a));
-                const headline = UI.escape(a.headline_de || a.headline || '(ohne Titel)');
-                const inner = a.source_url
-                    ? `<a href="${UI.escape(a.source_url)}" target="_blank" rel="noopener">${headline}</a>`
-                    : headline;
-                return `<li>
-                    ${numHtml}
-                    <span class="source-overview-detail-date">${UI.escape(dateStr)}</span>
-                    <span class="source-overview-detail-headline">${inner}</span>
-                </li>`;
-            }).join('');
-            detail.innerHTML = `<ul class="source-overview-detail-list">${items}</ul>`;
-        }
-        el.insertAdjacentElement('afterend', detail);
-    },
-
     /** Restliche Artikel seitenweise im Hintergrund nachladen und in _currentArticles mergen. */
     async _loadRemainingArticlesInBackground(incidentId) {
         const BATCH = 500;
@@ -1930,11 +1818,6 @@ async handleRefresh() {
             this._updateRefreshButton(true);
             // showProgress called via handleStatusUpdate
             const result = await API.refreshIncident(this.currentIncidentId);
-            // Pipeline auf "pending" setzen, damit alte gruene Haekchen nicht
-            // faelschlich "schon fertig" suggerieren waehrend die Lage in der Queue steht
-            if (typeof Pipeline !== 'undefined' && Pipeline.beginQueue) {
-                Pipeline.beginQueue(this.currentIncidentId);
-            }
             if (result && result.status === 'skipped') {
                 UI.showToast('Aktualisierung ist in der Warteschlange und wird ausgefuehrt, sobald die aktuelle Recherche abgeschlossen ist.', 'info');
             } else {
@@ -2156,19 +2039,8 @@ async handleRefresh() {
     _updateRefreshButton(disabled) {
         const btn = document.getElementById('refresh-btn');
         if (!btn) return;
-        // Hard-Stop: Lese-Modus (Budget aufgebraucht / Lizenz abgelaufen) -> immer disabled
-        if (this.user && this.user.read_only) {
-            btn.disabled = true;
-            const reason = this.user.read_only_reason;
-            btn.textContent = reason === 'budget_exceeded' ? 'Budget aufgebraucht' : 'Nur Lesezugriff';
-            btn.title = reason === 'budget_exceeded'
-                ? 'Token-Budget aufgebraucht. Bitte Verwaltung kontaktieren.'
-                : 'Lizenz erlaubt keinen Schreibzugriff';
-            return;
-        }
         btn.disabled = disabled;
         btn.textContent = disabled ? 'Läuft...' : 'Aktualisieren';
-        btn.title = '';
     },
 
     async handleDelete() {
@@ -2702,12 +2574,6 @@ async handleRefresh() {
     async openSourceManagement() {
         openModal('modal-sources');
         await this.loadSources();
-        // Admin sieht den Review-Tab
-        const reviewTab = document.getElementById('sources-tab-review');
-        if (reviewTab && this.user && this.user.role === 'org_admin') {
-            reviewTab.style.display = '';
-            this._refreshReviewBadge().catch(() => {});
-        }
     },
 
     async loadSources() {
@@ -2728,122 +2594,6 @@ async handleRefresh() {
         }
     },
 
-    async _refreshReviewBadge() {
-        try {
-            const stats = await API.getClassificationStats();
-            const badge = document.getElementById('sources-review-count');
-            if (badge) badge.textContent = String(stats.pending_review || 0);
-        } catch (_) { /* still ok */ }
-    },
-
-    switchSourcesTab(tab) {
-        const listView = document.getElementById('sources-list-view');
-        const reviewView = document.getElementById('sources-review-view');
-        const tabList = document.getElementById('sources-tab-list');
-        const tabReview = document.getElementById('sources-tab-review');
-        if (!listView || !reviewView) return;
-        if (tab === 'review') {
-            listView.style.display = 'none';
-            reviewView.style.display = '';
-            if (tabList) { tabList.classList.remove('active'); tabList.setAttribute('aria-selected', 'false'); }
-            if (tabReview) { tabReview.classList.add('active'); tabReview.setAttribute('aria-selected', 'true'); }
-            this.loadClassificationQueue();
-        } else {
-            listView.style.display = '';
-            reviewView.style.display = 'none';
-            if (tabList) { tabList.classList.add('active'); tabList.setAttribute('aria-selected', 'true'); }
-            if (tabReview) { tabReview.classList.remove('active'); tabReview.setAttribute('aria-selected', 'false'); }
-        }
-    },
-
-    async loadClassificationQueue() {
-        const list = document.getElementById('sources-review-list');
-        if (!list) return;
-        const minConf = parseFloat(document.getElementById('review-min-confidence')?.value || '0');
-        list.innerHTML = '<div class="empty-state-text" style="padding:var(--sp-3xl);text-align:center;">Lade...</div>';
-        try {
-            const items = await API.getClassificationQueue(200, minConf);
-            this._reviewItems = items;
-            const countEl = document.getElementById('review-pending-count');
-            if (countEl) countEl.textContent = String(items.length);
-            if (items.length === 0) {
-                list.innerHTML = '<div class="empty-state-text" style="padding:var(--sp-3xl);text-align:center;">Keine ausstehenden Vorschlaege.</div>';
-                return;
-            }
-            list.innerHTML = items.map(item => UI.renderClassificationQueueItem(item)).join('');
-        } catch (err) {
-            list.innerHTML = `<div class="empty-state-text" style="padding:var(--sp-3xl);text-align:center;color:var(--danger);">Fehler: ${err.message}</div>`;
-        }
-    },
-
-    async approveClassification(id) {
-        try {
-            await API.approveClassification(id);
-            UI.showToast('Klassifikation uebernommen.', 'success');
-            await this.loadClassificationQueue();
-            this._refreshReviewBadge();
-        } catch (err) {
-            UI.showToast('Approve fehlgeschlagen: ' + err.message, 'error');
-        }
-    },
-
-    async rejectClassification(id) {
-        try {
-            await API.rejectClassification(id);
-            UI.showToast('Vorschlag verworfen.', 'success');
-            await this.loadClassificationQueue();
-            this._refreshReviewBadge();
-        } catch (err) {
-            UI.showToast('Reject fehlgeschlagen: ' + err.message, 'error');
-        }
-    },
-
-    async reclassifySource(id) {
-        const btn = document.querySelector(`[data-reclassify-id="${id}"]`);
-        if (btn) { btn.disabled = true; btn.textContent = '...'; }
-        try {
-            await API.reclassifySource(id);
-            UI.showToast('Neu klassifiziert.', 'success');
-            await this.loadClassificationQueue();
-        } catch (err) {
-            UI.showToast('Reclassify fehlgeschlagen: ' + err.message, 'error');
-        } finally {
-            if (btn) { btn.disabled = false; btn.textContent = 'Neu klassifizieren'; }
-        }
-    },
-
-    async triggerBulkClassify() {
-        if (!confirm('Bulk-Klassifikation aller noch nicht klassifizierten Quellen starten? Lauft im Hintergrund (~3-5 Sek pro Quelle, ~0.02 USD pro Quelle).')) return;
-        try {
-            const r = await API.triggerBulkClassify(500, true);
-            UI.showToast(`Bulk-Klassifikation gestartet (limit=${r.limit}). Nachschauen mit Reload.`, 'info');
-        } catch (err) {
-            UI.showToast('Start fehlgeschlagen: ' + err.message, 'error');
-        }
-    },
-
-    async bulkApproveHighConfidence() {
-        if (!confirm('Alle Vorschlaege mit Konfidenz >= 0.85 genehmigen?')) return;
-        try {
-            const r = await API.bulkApproveClassifications(0.85);
-            UI.showToast(`${r.approved_count} Vorschlaege uebernommen.`, 'success');
-            await this.loadClassificationQueue();
-            this._refreshReviewBadge();
-        } catch (err) {
-            UI.showToast('Bulk-Approve fehlgeschlagen: ' + err.message, 'error');
-        }
-    },
-
-    async triggerExternalReputationSync() {
-        if (!confirm('IFCN- und EUvsDisinfo-Datenbanken jetzt syncen? Lauft im Hintergrund (~30 Sek).')) return;
-        try {
-            await API.triggerExternalReputationSync();
-            UI.showToast('Externer Sync gestartet. Quellenliste in 30 Sek neu laden.', 'info');
-        } catch (err) {
-            UI.showToast('Sync fehlgeschlagen: ' + err.message, 'error');
-        }
-    },
-
     renderSourceStats(stats) {
         const bar = document.getElementById('sources-stats-bar');
         if (!bar) return;
@@ -2872,11 +2622,6 @@ async handleRefresh() {
         // Filter anwenden
         const typeFilter = document.getElementById('sources-filter-type')?.value || '';
         const catFilter = document.getElementById('sources-filter-category')?.value || '';
-        const politicalFilter = document.getElementById('sources-filter-political')?.value || '';
-        const mediaTypeFilter = document.getElementById('sources-filter-mediatype')?.value || '';
-        const reliabilityFilter = document.getElementById('sources-filter-reliability')?.value || '';
-        const alignmentFilter = document.getElementById('sources-filter-alignment')?.value || '';
-        const externFilter = document.getElementById('sources-filter-extern')?.value || '';
         const search = (document.getElementById('sources-search')?.value || '').toLowerCase();
 
         // Alle Quellen nach Domain gruppieren
@@ -2927,25 +2672,6 @@ async handleRefresh() {
                 if (!hasMatchingCat) continue;
             }
 
-            // Klassifikations-Filter
-            if (politicalFilter) {
-                if (!feeds.some(f => (f.political_orientation || 'na') === politicalFilter)) continue;
-            }
-            if (mediaTypeFilter) {
-                if (!feeds.some(f => (f.media_type || 'sonstige') === mediaTypeFilter)) continue;
-            }
-            if (reliabilityFilter) {
-                if (!feeds.some(f => (f.reliability || 'na') === reliabilityFilter)) continue;
-            }
-            if (alignmentFilter) {
-                if (!feeds.some(f => Array.isArray(f.alignments) && f.alignments.includes(alignmentFilter))) continue;
-            }
-            if (externFilter === 'ifcn') {
-                if (!feeds.some(f => f.ifcn_signatory)) continue;
-            } else if (externFilter === 'eu_disinfo') {
-                if (!feeds.some(f => f.eu_disinfo_listed)) continue;
-            }
-
             // Suche
             if (search) {
                 const groupText = feeds.map(f =>
@@ -3200,13 +2926,6 @@ async handleRefresh() {
             document.getElementById('src-discover-btn').disabled = false;
             document.getElementById('src-discover-btn').textContent = 'Erkennen';
             document.getElementById('src-type-select').value = 'rss_feed';
-            // Klassifikations-Felder auf Default zurücksetzen
-            const polEl = document.getElementById('src-political'); if (polEl) polEl.value = 'na';
-            const mtEl = document.getElementById('src-mediatype'); if (mtEl) mtEl.value = 'sonstige';
-            const relEl = document.getElementById('src-reliability'); if (relEl) relEl.value = 'na';
-            const ccEl = document.getElementById('src-country'); if (ccEl) ccEl.value = '';
-            const saEl = document.getElementById('src-state-affiliated'); if (saEl) saEl.checked = false;
-            this._setAlignmentChips([]);
             // Save-Button Text zurücksetzen
             const saveBtn = document.querySelector('#src-discovery-result .sources-discovery-actions .btn-primary');
             if (saveBtn) saveBtn.textContent = 'Speichern';
@@ -3388,19 +3107,6 @@ async handleRefresh() {
             rss_url: source.url,
         };
 
-        // Klassifikations-Felder setzen
-        const polEl = document.getElementById('src-political');
-        if (polEl) polEl.value = source.political_orientation || 'na';
-        const mtEl = document.getElementById('src-mediatype');
-        if (mtEl) mtEl.value = source.media_type || 'sonstige';
-        const relEl = document.getElementById('src-reliability');
-        if (relEl) relEl.value = source.reliability || 'na';
-        const ccEl = document.getElementById('src-country');
-        if (ccEl) ccEl.value = source.country_code || '';
-        const saEl = document.getElementById('src-state-affiliated');
-        if (saEl) saEl.checked = !!source.state_affiliated;
-        this._setAlignmentChips(source.alignments || []);
-
         // Submit-Button-Text ändern
         const saveBtn = document.querySelector('#src-discovery-result .sources-discovery-actions .btn-primary');
         if (saveBtn) saveBtn.textContent = 'Quelle speichern';
@@ -3409,27 +3115,6 @@ async handleRefresh() {
         if (form) form.scrollIntoView({ behavior: 'smooth', block: 'start' });
     },
 
-    _setAlignmentChips(active) {
-        const chips = document.querySelectorAll('#src-alignments-chips .alignment-chip');
-        const set = new Set((active || []).map(a => (a || '').toLowerCase()));
-        chips.forEach(chip => {
-            if (set.has(chip.dataset.alignment)) chip.classList.add('active');
-            else chip.classList.remove('active');
-        });
-    },
-
-    _getAlignmentChips() {
-        return Array.from(document.querySelectorAll('#src-alignments-chips .alignment-chip.active'))
-            .map(chip => chip.dataset.alignment);
-    },
-
-    handleAlignmentChipClick(e) {
-        const chip = e.target.closest('.alignment-chip');
-        if (!chip) return;
-        e.preventDefault();
-        chip.classList.toggle('active');
-    },
-
     async saveSource() {
         const name = document.getElementById('src-name').value.trim();
         if (!name) {
@@ -3445,12 +3130,6 @@ async handleRefresh() {
             url: discovered.rss_url || (discovered.source_type === 'telegram_channel' ? (document.getElementById('src-domain').value || null) : null),
             domain: document.getElementById('src-domain').value.trim() || discovered.domain || null,
             notes: document.getElementById('src-notes').value.trim() || null,
-            political_orientation: document.getElementById('src-political')?.value || 'na',
-            media_type: document.getElementById('src-mediatype')?.value || 'sonstige',
-            reliability: document.getElementById('src-reliability')?.value || 'na',
-            country_code: (document.getElementById('src-country')?.value || '').trim().toUpperCase() || null,
-            state_affiliated: !!document.getElementById('src-state-affiliated')?.checked,
-            alignments: this._getAlignmentChips(),
         };
 
         if (!data.domain && discovered.domain) {

src/static/js/components.js

@@ -354,22 +354,9 @@ const UI = {
         const minBtn = document.getElementById('progress-popup-minimize');
         if (minBtn) minBtn.style.display = state.isFirst ? 'none' : '';
 
-        // Title - haengt von Status ab (queued = wartet, cancelling = bricht ab, sonst laeuft)
+        // Title
         const titleEl = document.getElementById('progress-popup-title');
-        if (titleEl) {
-            let title;
-            if (status === 'queued') {
-                const pos = (state && state._queuePos) ? ' (#' + state._queuePos + ')' : '';
-                title = 'In Warteschlange' + pos;
-            } else if (status === 'cancelling') {
-                title = 'Wird abgebrochen\u2026';
-            } else if (state.isFirst) {
-                title = 'Erste Recherche l\u00e4uft';
-            } else {
-                title = 'Aktualisierung l\u00e4uft';
-            }
-            titleEl.textContent = title;
-        }
+        if (titleEl) titleEl.textContent = state.isFirst ? 'Erste Recherche l\u00e4uft' : 'Aktualisierung l\u00e4uft';
 
         // Multi-pass info
         const passEl = document.getElementById('progress-popup-pass');
@@ -984,9 +971,8 @@ const UI = {
         html += '<div class="source-overview-grid">';
         data.sources.forEach(s => {
             const langs = (s.languages || ['de']).map(l => (l || 'de').toUpperCase()).join('/');
-            const sourceName = this.escape(s.source || 'Unbekannt');
-            html += `<div class="source-overview-item" data-source="${sourceName}" tabindex="0" role="button" aria-expanded="false" onclick="App.toggleSourceOverviewDetail(this)" onkeydown="if(event.key==='Enter'||event.key===' '){event.preventDefault();App.toggleSourceOverviewDetail(this);}">
-                <span class="source-overview-name">${sourceName}</span>
+            html += `<div class="source-overview-item">
+                <span class="source-overview-name">${this.escape(s.source || 'Unbekannt')}</span>
                 <span class="source-overview-lang">${langs}</span>
                 <span class="source-overview-count">${s.article_count}</span>
             </div>`;
@@ -1062,163 +1048,6 @@ const UI = {
         'sonstige': 'Sonstige',
     },
 
-    _politicalLabels: {
-        links_extrem: { short: 'L+', full: 'Links (extrem)' },
-        links: { short: 'L', full: 'Links' },
-        mitte_links: { short: 'ML', full: 'Mitte-Links' },
-        liberal: { short: 'LIB', full: 'Liberal' },
-        mitte: { short: 'M', full: 'Mitte' },
-        konservativ: { short: 'KON', full: 'Konservativ' },
-        mitte_rechts: { short: 'MR', full: 'Mitte-Rechts' },
-        rechts: { short: 'R', full: 'Rechts' },
-        rechts_extrem: { short: 'R+', full: 'Rechts (extrem)' },
-        na: { short: '?', full: 'Nicht eingeordnet' },
-    },
-    _reliabilityLabels: {
-        sehr_hoch: 'Sehr hoch',
-        hoch: 'Hoch',
-        gemischt: 'Gemischt',
-        niedrig: 'Niedrig',
-        sehr_niedrig: 'Sehr niedrig',
-        na: 'Nicht eingeordnet',
-    },
-    _mediaTypeLabels: {
-        tageszeitung: 'Tageszeitung',
-        wochenzeitung: 'Wochenzeitung',
-        magazin: 'Magazin',
-        tv_sender: 'TV-Sender',
-        radio: 'Radio',
-        oeffentlich_rechtlich: 'Öffentlich-Rechtlich',
-        nachrichtenagentur: 'Nachrichtenagentur',
-        online_only: 'Online-only',
-        blog: 'Blog',
-        telegram_kanal: 'Telegram-Kanal',
-        telegram_bot: 'Telegram-Bot',
-        podcast: 'Podcast',
-        social_media: 'Social Media',
-        imageboard: 'Imageboard',
-        think_tank: 'Think Tank',
-        ngo: 'NGO',
-        behoerde: 'Behörde',
-        staatsmedium: 'Staatsmedium',
-        fachmedium: 'Fachmedium',
-        sonstige: 'Sonstige',
-    },
-    _alignmentLabels: {
-        prorussisch: 'prorussisch',
-        proiranisch: 'proiranisch',
-        prowestlich: 'prowestlich',
-        proukrainisch: 'proukrainisch',
-        prochinesisch: 'prochinesisch',
-        projapanisch: 'projapanisch',
-        proisraelisch: 'proisraelisch',
-        propalaestinensisch: 'propalästinensisch',
-        protuerkisch: 'protürkisch',
-        panarabisch: 'panarabisch',
-        neutral: 'neutral',
-        sonstige: 'sonstige',
-    },
-
-    /**
-     * Eintrag in der Klassifikations-Review-Queue.
-     * Zeigt Diff zwischen aktuellem Wert und LLM-Vorschlag.
-     */
-    renderClassificationQueueItem(item) {
-        const cur = item.current || {};
-        const prop = item.proposed || {};
-        const conf = prop.confidence || 0;
-        const confPct = Math.round(conf * 100);
-        const confClass = conf >= 0.85 ? 'high' : (conf >= 0.7 ? 'medium' : 'low');
-
-        const diffRow = (label, currentVal, proposedVal, formatter) => {
-            const fmt = formatter || (v => v == null || v === '' ? '–' : String(v));
-            const c = fmt(currentVal);
-            const p = fmt(proposedVal);
-            const changed = c !== p;
-            return `<div class="review-diff-row${changed ? ' changed' : ''}">
-                <span class="review-diff-label">${this.escape(label)}</span>
-                <span class="review-diff-current">${this.escape(c)}</span>
-                <span class="review-diff-arrow">→</span>
-                <span class="review-diff-proposed">${this.escape(p)}</span>
-            </div>`;
-        };
-
-        const polFmt = v => (v && v !== 'na') ? (this._politicalLabels[v]?.full || v) : '–';
-        const mtFmt = v => (v && v !== 'sonstige') ? (this._mediaTypeLabels[v] || v) : (v === 'sonstige' ? 'Sonstige' : '–');
-        const relFmt = v => (v && v !== 'na') ? (this._reliabilityLabels[v] || v) : '–';
-        const stateFmt = v => v ? 'ja' : 'nein';
-        const ccFmt = v => v || '–';
-        const alignFmt = v => (Array.isArray(v) && v.length > 0)
-            ? v.map(a => this._alignmentLabels[a] || a).join(', ')
-            : '–';
-
-        const globalBadge = item.is_global ? '<span class="review-global-badge">Grundquelle</span>' : '';
-        const reasoning = prop.reasoning ? this.escape(prop.reasoning) : '';
-
-        return `<div class="review-card" data-source-id="${item.id}">
-            <div class="review-card-header">
-                <div class="review-card-title">
-                    <span class="review-card-name">${this.escape(item.name)}</span>
-                    ${globalBadge}
-                    <span class="review-card-domain">${this.escape(item.domain || '')}</span>
-                </div>
-                <div class="review-card-confidence conf-${confClass}" title="LLM-Konfidenz">
-                    <span class="conf-value">${confPct}%</span>
-                    <span class="conf-label">Konfidenz</span>
-                </div>
-            </div>
-            <div class="review-card-diff">
-                ${diffRow('Politik', cur.political_orientation, prop.political_orientation, polFmt)}
-                ${diffRow('Medientyp', cur.media_type, prop.media_type, mtFmt)}
-                ${diffRow('Glaubwürdigkeit', cur.reliability, prop.reliability, relFmt)}
-                ${diffRow('Staatsnah', cur.state_affiliated, prop.state_affiliated, stateFmt)}
-                ${diffRow('Land', cur.country_code, prop.country_code, ccFmt)}
-                ${diffRow('Geopol. Nähe', cur.alignments, prop.alignments, alignFmt)}
-            </div>
-            ${reasoning ? `<div class="review-card-reasoning"><strong>Begründung:</strong> ${reasoning}</div>` : ''}
-            <div class="review-card-actions">
-                <button class="btn btn-small btn-primary" onclick="App.approveClassification(${item.id})">Übernehmen</button>
-                <button class="btn btn-small btn-secondary" onclick="App.rejectClassification(${item.id})">Verwerfen</button>
-                <button class="btn btn-small btn-secondary" data-reclassify-id="${item.id}" onclick="App.reclassifySource(${item.id})">Neu klassifizieren</button>
-            </div>
-        </div>`;
-    },
-
-    _renderClassificationBadges(feed) {
-        const parts = [];
-        const pol = feed.political_orientation;
-        if (pol && pol !== 'na') {
-            const label = this._politicalLabels[pol] || { short: pol, full: pol };
-            parts.push(`<span class="source-political-badge pol-${this.escape(pol)}" title="${this.escape(label.full)}">${this.escape(label.short)}</span>`);
-        }
-        const rel = feed.reliability;
-        if (rel && rel !== 'na') {
-            const relLabel = this._reliabilityLabels[rel] || rel;
-            const relSource = feed.ifcn_signatory ? '(IFCN-Faktenchecker)'
-                : (feed.eu_disinfo_listed ? `(EU-Desinfo, ${feed.eu_disinfo_case_count || 0} Fälle)`
-                : '(LLM-Schätzung)');
-            const relTitle = `Glaubwürdigkeit: ${relLabel} ${relSource}`;
-            parts.push(`<span class="source-reliability-dot rel-${this.escape(rel)}" title="${this.escape(relTitle)}" aria-label="${this.escape(relTitle)}"></span>`);
-        }
-        if (feed.ifcn_signatory) {
-            parts.push(`<span class="source-ifcn-badge" title="IFCN-zertifizierter Faktenchecker" aria-label="IFCN-Faktenchecker">✓ IFCN</span>`);
-        }
-        if (feed.eu_disinfo_listed) {
-            const cnt = feed.eu_disinfo_case_count || 0;
-            const title = `EUvsDisinfo: ${cnt} dokumentierte Desinformations-Fälle`;
-            parts.push(`<span class="source-eu-disinfo-badge" title="${this.escape(title)}" aria-label="${this.escape(title)}">⚠ EU-Desinfo (${cnt})</span>`);
-        }
-        if (feed.state_affiliated) {
-            parts.push(`<span class="source-state-badge" title="Staatsnah/-kontrolliert" aria-label="Staatsnah">⚑</span>`);
-        }
-        const aligns = Array.isArray(feed.alignments) ? feed.alignments : [];
-        aligns.forEach(a => {
-            const label = this._alignmentLabels[a] || a;
-            parts.push(`<span class="source-alignment-chip-badge align-${this.escape(a)}">${this.escape(label)}</span>`);
-        });
-        return parts.join('');
-    },
-
     /**
      * Domain-Gruppe rendern (aufklappbar mit Feeds).
      */
@@ -1274,52 +1103,20 @@ const UI = {
             ? `<span class="source-feed-count">${feedCount} Feed${feedCount !== 1 ? 's' : ''}</span>`
             : '';
 
-        // Info-Button mit Tooltip (Typ, Sprache, Ausrichtung, Klassifikation)
+        // Info-Button mit Tooltip (Typ, Sprache, Ausrichtung)
         let infoButtonHtml = '';
         const firstFeed = feeds[0] || {};
-        const hasInfo = firstFeed.language || firstFeed.bias
-            || (firstFeed.political_orientation && firstFeed.political_orientation !== 'na')
-            || (firstFeed.media_type && firstFeed.media_type !== 'sonstige')
-            || (firstFeed.reliability && firstFeed.reliability !== 'na')
-            || firstFeed.state_affiliated
-            || firstFeed.country_code
-            || (Array.isArray(firstFeed.alignments) && firstFeed.alignments.length > 0);
+        const hasInfo = firstFeed.language || firstFeed.bias;
         if (hasInfo) {
-            const typeMap = { rss_feed: 'RSS-Feed', web_source: 'Web-Quelle', telegram_channel: 'Telegram-Kanal', podcast_feed: 'Podcast' };
+            const typeMap = { rss_feed: 'RSS-Feed', web_source: 'Web-Quelle', telegram_channel: 'Telegram-Kanal' };
             const lines = [];
             lines.push('Typ: ' + (typeMap[firstFeed.source_type] || firstFeed.source_type || 'Unbekannt'));
             if (firstFeed.language) lines.push('Sprache: ' + firstFeed.language);
-            if (firstFeed.country_code) lines.push('Land: ' + firstFeed.country_code);
-            if (firstFeed.media_type && firstFeed.media_type !== 'sonstige') {
-                lines.push('Medientyp: ' + (this._mediaTypeLabels[firstFeed.media_type] || firstFeed.media_type));
-            }
-            if (firstFeed.political_orientation && firstFeed.political_orientation !== 'na') {
-                const pl = this._politicalLabels[firstFeed.political_orientation];
-                lines.push('Politisch: ' + (pl ? pl.full : firstFeed.political_orientation));
-            }
-            if (firstFeed.reliability && firstFeed.reliability !== 'na') {
-                const relLabel = this._reliabilityLabels[firstFeed.reliability] || firstFeed.reliability;
-                const relSrc = firstFeed.ifcn_signatory ? ' (IFCN-Faktenchecker)'
-                    : (firstFeed.eu_disinfo_listed ? ` (EU-Desinfo, ${firstFeed.eu_disinfo_case_count || 0} Fälle)`
-                    : ' (LLM-Schätzung)');
-                lines.push('Glaubwürdigkeit: ' + relLabel + relSrc);
-            }
-            if (firstFeed.ifcn_signatory) lines.push('IFCN-Faktenchecker: ja');
-            if (firstFeed.eu_disinfo_listed) {
-                lines.push(`EUvsDisinfo: ${firstFeed.eu_disinfo_case_count || 0} Fälle` + (firstFeed.eu_disinfo_last_seen ? ` (zuletzt ${firstFeed.eu_disinfo_last_seen})` : ''));
-            }
-            if (firstFeed.state_affiliated) lines.push('Staatsnah: ja');
-            if (Array.isArray(firstFeed.alignments) && firstFeed.alignments.length > 0) {
-                const labels = firstFeed.alignments.map(a => this._alignmentLabels[a] || a);
-                lines.push('Geopolitische Nähe: ' + labels.join(', '));
-            }
-            if (firstFeed.bias) lines.push('Notiz: ' + firstFeed.bias);
+            if (firstFeed.bias) lines.push('Ausrichtung: ' + firstFeed.bias);
             const tooltipText = this.escape(lines.join('\n'));
             infoButtonHtml = ` <span class="info-icon tooltip-below" data-tooltip="${tooltipText}"><svg xmlns="http://www.w3.org/2000/svg" width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><circle cx="12" cy="12" r="10"/><path d="M12 16v-4"/><path d="M12 8h.01"/></svg></span>`;
         }
 
-        const classificationBadges = this._renderClassificationBadges(firstFeed);
-
         return `<div class="source-group">
             <div class="source-group-header" ${toggleAttr}>
                 ${toggleIcon}
@@ -1327,7 +1124,6 @@ const UI = {
                     <span class="source-group-name">${this.escape(displayName)}</span>${infoButtonHtml}
                 </div>
                 <span class="source-category-badge cat-${feeds[0]?.category || 'sonstige'}">${catLabel}</span>
-                ${classificationBadges ? `<span class="source-classification-badges">${classificationBadges}</span>` : ''}
                 ${feedCountBadge}
                 <div class="source-group-actions" onclick="event.stopPropagation()">
                     ${!isGlobal && !hasMultiple && feeds[0]?.id ? `<button class="source-edit-btn" onclick="App.editSource(${feeds[0].id})" title="Bearbeiten" aria-label="Bearbeiten">&#9998;</button>` : ''}

src/static/js/pipeline.js

@@ -19,7 +19,6 @@ const Pipeline = {
     _incidentId: null,
     _definition: null,        // PIPELINE_STEPS vom Backend
     _stateByKey: {},          // step_key -> {status, count_value, count_secondary, pass_number}
-    _snapshotState: null,     // deep-copy von _stateByKey vor Refresh-Start (fuer Cancel-Restore)
     _isResearch: false,
     _passTotal: 1,
     _lastRefreshHeader: null,
@@ -43,11 +42,10 @@ const Pipeline = {
         if (this._wsBound) return;
         if (typeof WS !== 'undefined' && WS.on) {
             WS.on('pipeline_step', (msg) => this._onWsStep(msg));
-            // Erfolg: API-State neu laden (finaler Stand sichtbar)
-            WS.on('refresh_complete', (msg) => this._onRefreshDoneSuccess(msg));
-            // Cancel/Error: vor-Refresh-Snapshot zurueckspielen, damit Pipeline nicht im Mix-Zustand stehen bleibt
-            WS.on('refresh_cancelled', (msg) => this._onRefreshDoneCancel(msg));
-            WS.on('refresh_error', (msg) => this._onRefreshDoneError(msg));
+            // Bei Refresh-Complete den finalen Stand neu laden, damit Zahlen gefroren sichtbar bleiben
+            WS.on('refresh_complete', (msg) => this._onRefreshDone(msg));
+            WS.on('refresh_cancelled', (msg) => this._onRefreshDone(msg));
+            WS.on('refresh_error', (msg) => this._onRefreshDone(msg));
             this._wsBound = true;
         }
         // Hover-Tooltip-Element vorbereiten
@@ -70,7 +68,6 @@ const Pipeline = {
     async bindToIncident(incidentId) {
         this._incidentId = incidentId;
         this._stateByKey = {};
-        this._snapshotState = null;  // Snapshot ist immer lagen-spezifisch
         this._isResearch = false;
         this._passTotal = 1;
         this._lastRefreshHeader = null;
@@ -104,20 +101,6 @@ const Pipeline = {
 
             this._render();
             this._renderMini();
-
-            // Edge-Case: Lage ist gerade in Queue (z.B. via Lagen-Wechsel beim
-            // Klick in der Sidebar). API liefert den LETZTEN gespeicherten Stand
-            // (alles done = gruen), aber tatsaechlich wartet ein neuer Refresh.
-            // -> beginQueue() selbst ausloesen, damit Icons grau zeigen.
-            try {
-                if (typeof App !== 'undefined' && App._refreshingIncidents
-                    && App._refreshingIncidents.has(incidentId)
-                    && typeof UI !== 'undefined' && UI._progressState
-                    && UI._progressState[incidentId]
-                    && UI._progressState[incidentId].step === 'queued') {
-                    this.beginQueue(incidentId);
-                }
-            } catch (e) { /* tolerant */ }
         } catch (e) {
             console.warn('Pipeline laden fehlgeschlagen:', e);
             this._renderEmpty('Pipeline-Daten konnten nicht geladen werden.');
@@ -158,90 +141,30 @@ const Pipeline = {
             }
         }
 
-        // Wenn der ERSTE Schritt (sources_review) auf "active" geht, beginnt ein neuer
-        // Refresh oder ein neuer Multi-Pass-Durchlauf — alle nachfolgenden Schritte auf
-        // "pending" (grau) zuruecksetzen, damit der User sieht: das ist neu und
-        // noch nicht durchlaufen. Sonst stehen sie als "done" vom letzten Mal da.
-        let didReset = false;
+        // Wenn ein neuer Pass startet (pass_number > prev und status="active" beim ERSTEN step):
+        // alle Schritte zurück auf pending setzen, damit die Animation neu durchläuft.
         if (d.status === 'active' && this._definition && this._definition.length
-            && key === this._definition[0].key) {
+            && key === this._definition[0].key && passNr > 1 && (!prev || prev.pass_number < passNr)) {
+            // Alle anderen Steps in "pending" zurueck (visuell), Werte behalten wir
             this._definition.forEach(s => {
                 if (s.key !== key && this._stateByKey[s.key]) {
                     this._stateByKey[s.key].status = 'pending';
-                    didReset = true;
                 }
             });
         }
 
-        if (didReset) {
-            // Beim Reset alle Bloecke neu zeichnen, nicht nur den aktuellen
-            this._render();
-            this._renderMini();
-        } else {
         this._patchBlock(key);
         this._patchMiniBlock(key);
-        }
     },
 
-    /**
-     * Wird vom Frontend gerufen, wenn ein Refresh angestossen wurde (queued).
-     * Macht einen Snapshot des aktuellen Pipeline-Stands (zur spaeteren Wiederherstellung
-     * bei Cancel/Error) und setzt dann alle Steps auf "pending" - damit der User sieht:
-     * "neuer Refresh laeuft an, alte gruene Haekchen sind nicht mehr aktuell".
-     */
-    beginQueue(incidentId) {
-        if (this._incidentId !== incidentId) return;          // andere Lage offen
-        if (!this._definition) return;                        // noch keine Pipeline-Definition geladen
-        // Aktuellen Stand sichern (deep-copy). Bei Mehrfach-Refresh ohne Cancel
-        // dazwischen wird der Snapshot bewusst ueberschrieben - er soll immer
-        // der "Stand kurz vor diesem Refresh" sein.
-        this._snapshotState = JSON.parse(JSON.stringify(this._stateByKey));
-        // Alle Steps auf pending setzen
-        this._definition.forEach(s => {
-            if (this._stateByKey[s.key]) {
-                this._stateByKey[s.key].status = 'pending';
-            } else {
-                this._stateByKey[s.key] = { status: 'pending', count_value: null, count_secondary: null, pass_number: 1 };
-            }
-        });
-        this._render();
-        this._renderMini();
-    },
-
-    /** Restauriert den letzten Snapshot. Rueckgabe: true bei Erfolg, false wenn keiner da war. */
-    _restoreSnapshot() {
-        if (!this._snapshotState) return false;
-        this._stateByKey = this._snapshotState;
-        this._snapshotState = null;
-        this._render();
-        this._renderMini();
-        return true;
-    },
-
-    _onRefreshDoneSuccess(msg) {
+    _onRefreshDone(msg) {
         if (this._incidentId == null || (msg && msg.incident_id !== this._incidentId)) return;
-        this._snapshotState = null;  // verworfen, neuer Stand wird vom API geladen
         // Daten frisch nachladen, damit Header (Dauer) und finale Zahlen passen
         setTimeout(() => {
             if (this._incidentId != null) this.bindToIncident(this._incidentId);
         }, 600);
     },
 
-    _onRefreshDoneCancel(msg) {
-        if (this._incidentId == null || (msg && msg.incident_id !== this._incidentId)) return;
-        if (!this._restoreSnapshot()) {
-            // Kein Snapshot vorhanden (z.B. Page-Reload mitten im Refresh) -> wie bisher API-Reload
-            setTimeout(() => {
-                if (this._incidentId != null) this.bindToIncident(this._incidentId);
-            }, 600);
-        }
-    },
-
-    _onRefreshDoneError(msg) {
-        // Wie Cancel: vorheriger Stand zurueck (nicht im Mix-Zustand stehenbleiben)
-        this._onRefreshDoneCancel(msg);
-    },
-
     /** Vollbild-Pipeline (Tab "Analysepipeline") als 3x3-Snake rendern. */
     _render() {
         const stage = document.getElementById('pipeline-stage');