feat(klassifikation): Quellen-Klassifikation aus Monitor in Verwaltung verschoben

Service-Module (source_classifier, external_reputation) liegen jetzt in shared/services/, Endpoints unter /api/sources/classification/* sind hier statt im Monitor:
- classification/{stats,queue,bulk-classify,bulk-approve}
- {id}/classification/{approve,reject,reclassify}
- external-reputation/sync

modalSource erweitert um Klassifikations-Section (Politik, Medientyp, Reliability, state-affiliated, Land, 12 Alignment-Chips). Neuer Sub-Tab Klassifikation mit Review-Queue, Pending-Counter, Bulk-Actions. Auth via get_current_admin, Audit-Logging.

Begleit-Refactor: Monitor verliert die Klassifikations-UI/-Endpoints separat.

src/routers/sources.py

@@ -1,15 +1,16 @@
 """Grundquellen-Verwaltung und Kundenquellen-Übersicht."""
+import json
 import logging
 import uuid
 
-from fastapi import APIRouter, Depends, HTTPException, Request
+from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException, Request, status
 from fastapi.responses import StreamingResponse
 from pydantic import BaseModel, Field
 from typing import Optional
 import aiosqlite
 
 from auth import get_current_admin
-from database import db_dependency
+from database import db_dependency, get_db
 from audit import log_action, get_client_ip
 from source_meta import get_meta
 from config import HEALTH_CHECK_USER_AGENT, HEALTH_CHECK_TIMEOUT_S
@@ -19,12 +20,84 @@ from shared.source_rules import (
     evaluate_feeds_with_claude,
     domain_to_display_name,
 )
+from shared.services.source_classifier import (
+    bulk_classify,
+    classify_source,
+    ALIGNMENT_VALUES,
+    POLITICAL_VALUES,
+    MEDIA_TYPE_VALUES,
+    RELIABILITY_VALUES,
+)
+from shared.services.external_reputation import (
+    apply_reputation_overrides,
+    sync_all as sync_external_reputation,
+)
 
 logger = logging.getLogger("verwaltung.sources")
 
 router = APIRouter(prefix="/api/sources", tags=["sources"])
 
-SOURCE_UPDATE_COLUMNS = {"name", "url", "domain", "source_type", "category", "status", "notes", "language", "bias", "fetch_strategy"}
+SOURCE_UPDATE_COLUMNS = {
+    "name", "url", "domain", "source_type", "category", "status", "notes",
+    "language", "bias", "fetch_strategy",
+    "political_orientation", "media_type", "reliability",
+    "state_affiliated", "country_code",
+}
+SOURCE_CLASSIFICATION_FIELDS = {
+    "political_orientation", "media_type", "reliability",
+    "state_affiliated", "country_code",
+}
+
+
+async def _load_alignments_for(db: aiosqlite.Connection, source_ids: list[int]) -> dict[int, list[str]]:
+    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 ALIGNMENT_VALUES:
+            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),
+        )
+
+
+async def _clear_proposed(db: aiosqlite.Connection, source_id: int):
+    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.get("/meta")
@@ -61,6 +134,12 @@ class GlobalSourceUpdate(BaseModel):
     notes: Optional[str] = None
     language: Optional[str] = Field(default=None, max_length=100)
     bias: Optional[str] = Field(default=None, max_length=500)
+    political_orientation: Optional[str] = None
+    media_type: Optional[str] = None
+    reliability: Optional[str] = None
+    state_affiliated: Optional[bool] = None
+    country_code: Optional[str] = Field(default=None, max_length=8)
+    alignments: Optional[list[str]] = None
 
 
 @router.get("/global")
@@ -120,7 +199,11 @@ async def list_global_sources(
         WHERE s.tenant_id IS NULL
         ORDER BY s.category, s.source_type, s.name
     """)
-    return [dict(row) for row in await cursor.fetchall()]
+    rows = [dict(row) for row in await cursor.fetchall()]
+    alignments_map = await _load_alignments_for(db, [r["id"] for r in rows])
+    for r in rows:
+        r["alignments"] = alignments_map.get(r["id"], [])
+    return rows
 
 
 @router.post("/global", status_code=201)
@@ -170,7 +253,7 @@ async def update_global_source(
     admin: dict = Depends(get_current_admin),
     db: aiosqlite.Connection = Depends(db_dependency),
 ):
-    """Grundquelle bearbeiten."""
+    """Grundquelle bearbeiten — inkl. Klassifikation + alignments."""
     cursor = await db.execute(
         "SELECT * FROM sources WHERE id = ? AND tenant_id IS NULL", (source_id,)
     )
@@ -178,21 +261,50 @@ async def update_global_source(
     if not row:
         raise HTTPException(status_code=404, detail="Grundquelle nicht gefunden")
     before = dict(row)
+    before_alignments = sorted((await _load_alignments_for(db, [source_id])).get(source_id, []))
 
-    updates = {}
+    payload = data.model_dump(exclude_none=True)
-    for field, value in data.model_dump(exclude_none=True).items():
+    alignments = payload.pop("alignments", None)
-        updates[field] = value
 
-    if not updates:
+    if "political_orientation" in payload and payload["political_orientation"] not in POLITICAL_VALUES:
-        return before
+        raise HTTPException(status_code=422, detail=f"Ungueltige political_orientation: {payload['political_orientation']}")
+    if "media_type" in payload and payload["media_type"] not in MEDIA_TYPE_VALUES:
+        raise HTTPException(status_code=422, detail=f"Ungueltiger media_type: {payload['media_type']}")
+    if "reliability" in payload and payload["reliability"] not in RELIABILITY_VALUES:
+        raise HTTPException(status_code=422, detail=f"Ungueltige reliability: {payload['reliability']}")
+
+    updates = {k: v for k, v in payload.items() if k in SOURCE_UPDATE_COLUMNS}
+    if "state_affiliated" in updates:
+        updates["state_affiliated"] = 1 if updates["state_affiliated"] else 0
+
+    classification_touched = any(k in updates for k in SOURCE_CLASSIFICATION_FIELDS) or alignments is not None
+    if classification_touched:
+        updates["classification_source"] = "manual"
+        updates["classified_at"] = None  # CURRENT_TIMESTAMP via SQL — siehe unten
+
+    if updates:
+        sets = []
+        vals = []
+        for k, v in updates.items():
+            if k == "classified_at":
+                sets.append("classified_at = CURRENT_TIMESTAMP")
+            else:
+                sets.append(f"{k} = ?")
+                vals.append(v)
+        vals.append(source_id)
+        await db.execute(f"UPDATE sources SET {', '.join(sets)} WHERE id = ?", vals)
+
+    if alignments is not None:
+        await _replace_alignments(db, source_id, alignments)
 
-    set_clause = ", ".join(f"{k} = ?" for k in updates)
-    values = list(updates.values()) + [source_id]
-    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,))
     after = dict(await cursor.fetchone())
+    after_alignments = sorted((await _load_alignments_for(db, [source_id])).get(source_id, []))
+    if before_alignments != after_alignments:
+        before["alignments"] = before_alignments
+        after["alignments"] = after_alignments
     await log_action(
         db, admin, get_client_ip(request),
         action="update", resource_type="source", resource_id=source_id,
@@ -1086,3 +1198,307 @@ Nur das JSON, kein anderer Text."""
 
     except Exception as e:
         raise HTTPException(status_code=500, detail=f"Recherche fehlgeschlagen: {e}")
+
+
+# === Klassifikations-Review (LLM-Vorschlaege approve/reject/reclassify) ===
+
+
+@router.get("/classification/stats")
+async def classification_stats(
+    admin: dict = Depends(get_current_admin),
+    db: aiosqlite.Connection = Depends(db_dependency),
+):
+    """Counts pro classification_source-Wert + Anzahl Pending-Reviews (alle Quellen)."""
+    cursor = await db.execute(
+        """SELECT classification_source, COUNT(*) as cnt
+           FROM sources
+           WHERE status = 'active'
+           GROUP BY classification_source"""
+    )
+    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 status = 'active' AND proposed_political_orientation IS NOT NULL"""
+    )
+    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,
+    admin: dict = Depends(get_current_admin),
+    db: aiosqlite.Connection = Depends(db_dependency),
+):
+    """Liefert Quellen mit nicht-leeren proposed_*-Spalten (Review-Queue)."""
+    cursor = await db.execute(
+        """SELECT s.* FROM sources s
+           WHERE s.proposed_political_orientation IS NOT NULL
+             AND COALESCE(s.proposed_confidence, 0) >= ?
+           ORDER BY s.proposed_confidence DESC, s.proposed_at DESC
+           LIMIT ?""",
+        (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
+
+
+@router.post("/{source_id}/classification/approve")
+async def approve_classification(
+    source_id: int,
+    request: Request,
+    admin: dict = Depends(get_current_admin),
+    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)
+    before_alignments = sorted((await _load_alignments_for(db, [source_id])).get(source_id, []))
+    before = {**src, "alignments": before_alignments}
+
+    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 ALIGNMENT_VALUES])
+    await _clear_proposed(db, source_id)
+    await db.commit()
+
+    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)
+
+    cursor = await db.execute("SELECT * FROM sources WHERE id = ?", (source_id,))
+    after_row = dict(await cursor.fetchone())
+    after_alignments = sorted((await _load_alignments_for(db, [source_id])).get(source_id, []))
+    after = {**after_row, "alignments": after_alignments}
+    await log_action(
+        db, admin, get_client_ip(request),
+        action="update", resource_type="source", resource_id=source_id,
+        before=before, after=after,
+    )
+    return {"source_id": source_id, "status": "approved"}
+
+
+@router.post("/{source_id}/classification/reject")
+async def reject_classification(
+    source_id: int,
+    request: Request,
+    admin: dict = Depends(get_current_admin),
+    db: aiosqlite.Connection = Depends(db_dependency),
+):
+    """Verwirft die LLM-Vorschlaege ohne Uebernahme. classification_source: 'llm_pending' -> 'legacy'."""
+    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)
+    before = dict(src)
+
+    await _clear_proposed(db, source_id)
+    if src.get("classification_source") == "llm_pending":
+        await db.execute(
+            "UPDATE sources SET classification_source = 'legacy' WHERE id = ?",
+            (source_id,),
+        )
+    await db.commit()
+
+    cursor = await db.execute("SELECT * FROM sources WHERE id = ?", (source_id,))
+    after = dict(await cursor.fetchone())
+    await log_action(
+        db, admin, get_client_ip(request),
+        action="update", resource_type="source", resource_id=source_id,
+        before=before, after=after,
+    )
+    return {"source_id": source_id, "status": "rejected"}
+
+
+@router.post("/{source_id}/classification/reclassify")
+async def reclassify_source(
+    source_id: int,
+    admin: dict = Depends(get_current_admin),
+    db: aiosqlite.Connection = Depends(db_dependency),
+):
+    """Triggert eine LLM-Klassifikation einer einzelnen Quelle (synchron, ~3-5s)."""
+    cursor = await db.execute("SELECT id FROM sources WHERE id = ?", (source_id,))
+    row = await cursor.fetchone()
+    if not row:
+        raise HTTPException(status_code=404, detail="Quelle nicht gefunden")
+    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,
+    admin: dict = Depends(get_current_admin),
+):
+    """Startet eine Bulk-Klassifikation im Hintergrund."""
+    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,
+    admin: dict = Depends(get_current_admin),
+):
+    """Startet Sync von IFCN- und EUvsDisinfo-Daten (Hintergrund)."""
+    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(
+    request: Request,
+    min_confidence: float = 0.85,
+    admin: dict = Depends(get_current_admin),
+    db: aiosqlite.Connection = Depends(db_dependency),
+):
+    """Genehmigt alle Pending-Vorschlaege ueber dem confidence-Schwellwert."""
+    cursor = await db.execute(
+        """SELECT id, proposed_political_orientation, proposed_media_type,
+                  proposed_reliability, proposed_state_affiliated,
+                  proposed_country_code, proposed_alignments_json
+           FROM sources
+           WHERE proposed_political_orientation IS NOT NULL
+             AND COALESCE(proposed_confidence, 0) >= ?""",
+        (min_confidence,),
+    )
+    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 ALIGNMENT_VALUES]
+        )
+        await _clear_proposed(db, src["id"])
+        approved_ids.append(src["id"])
+    await db.commit()
+
+    try:
+        for sid in approved_ids:
+            await apply_reputation_overrides(db, sid)
+    except Exception as e:
+        logger.warning("Bulk Reputation-Override fehlgeschlagen: %s", e)
+
+    await log_action(
+        db, admin, get_client_ip(request),
+        action="update", resource_type="source", resource_id=None,
+        after={"bulk_approved_ids": approved_ids, "min_confidence": min_confidence},
+    )
+    return {"approved": len(approved_ids), "ids": approved_ids}

src/shared/services/external_reputation.py

@@ -0,0 +1,282 @@
+"""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/shared/services/source_classifier.py

@@ -0,0 +1,295 @@
+"""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 shared.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/static/css/style.css

@@ -962,3 +962,162 @@ input[type="date"].filter-select { padding: 6px 10px; }
     font-weight: 400;
 }
 
+/* === Klassifikations-Review === */
+.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(--accent);
+  color: var(--bg-primary);
+  font-size: 10px;
+  font-weight: 700;
+}
+
+.review-toolbar {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  padding: 10px 14px;
+  background: var(--bg-secondary);
+  border: 1px solid var(--border);
+  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;
+  color: var(--text-primary);
+}
+.review-conf-filter {
+  display: inline-flex;
+  align-items: center;
+  gap: 6px;
+  font-size: 12px;
+  color: var(--text-secondary);
+}
+.review-toolbar-actions { display: flex; gap: 6px; }
+
+.review-list { display: flex; flex-direction: column; gap: 8px; }
+.review-card {
+  background: var(--bg-secondary);
+  border: 1px solid var(--border);
+  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; color: var(--text-primary); }
+.review-card-domain { font-size: 11px; color: var(--text-muted); }
+.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: rgba(34,197,94,0.15); color: var(--success); }
+.review-card-confidence.conf-medium { background: rgba(245,158,11,0.15); color: var(--warning); }
+.review-card-confidence.conf-low { background: rgba(239,68,68,0.15); color: var(--danger); }
+
+.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: 130px 1fr 24px 1fr;
+  align-items: center;
+  gap: 8px;
+  padding: 3px 6px;
+  border-radius: 3px;
+}
+.review-diff-row.changed { background: rgba(245,158,11,0.10); }
+.review-diff-label { color: var(--text-secondary); font-weight: 500; }
+.review-diff-current { color: var(--text-muted); }
+.review-diff-arrow { text-align: center; color: var(--text-muted); font-weight: 600; }
+.review-diff-proposed { color: var(--text-primary); font-weight: 500; }
+.review-diff-row.changed .review-diff-proposed { color: var(--warning); font-weight: 600; }
+
+.review-card-reasoning {
+  font-size: 12px;
+  color: var(--text-secondary);
+  background: var(--bg-tertiary);
+  padding: 8px 10px;
+  border-radius: var(--radius);
+  margin-bottom: 10px;
+  line-height: 1.5;
+}
+.review-card-actions { display: flex; gap: 6px; flex-wrap: wrap; }
+
+/* Edit-Form: Klassifikations-Sektion */
+.sources-classification-section {
+  margin-top: 14px;
+  padding-top: 14px;
+  border-top: 1px solid var(--border);
+}
+.sources-classification-header {
+  font-size: 12px;
+  font-weight: 600;
+  color: var(--text-secondary);
+  margin-bottom: 10px;
+  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);
+  border: 1px solid var(--border);
+  cursor: pointer;
+  transition: all 0.12s ease;
+}
+.alignment-chip:hover { background: var(--bg-tertiary); color: var(--text-primary); }
+.alignment-chip.active {
+  background: var(--accent);
+  color: var(--bg-primary);
+  border-color: var(--accent);
+}
+

src/static/dashboard.html

@@ -294,6 +294,7 @@
         <button class="nav-tab active" data-subtab="global-sources">Grundquellen</button>
         <button class="nav-tab" data-subtab="tenant-sources">Kundenquellen</button>
         <button class="nav-tab" data-subtab="source-health">Quellen-Health</button>
+        <button class="nav-tab" data-subtab="classification-review">Klassifikation <span class="sources-tab-badge" id="classificationPendingBadge">0</span></button>
       </div>
 
       <!-- Grundquellen -->
@@ -406,6 +407,35 @@
         <div id="ht-verlauf" class="health-pane" style="display:none;"></div>
       </div>
 
+      <!-- Klassifikations-Review -->
+      <div class="section" id="sub-classification-review">
+        <div class="action-bar review-toolbar">
+          <div class="review-toolbar-info">
+            <span><strong id="reviewPendingCount">0</strong> Vorschläge ausstehend</span>
+            <label class="review-conf-filter">
+              Mindest-Konfidenz:
+              <select class="filter-select" id="reviewMinConfidence" onchange="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-secondary btn-small" onclick="triggerExternalReputationSync()" title="IFCN-Faktenchecker und EUvsDisinfo neu syncen">Externe Daten syncen</button>
+            <button class="btn btn-secondary btn-small" onclick="triggerBulkClassify()" title="LLM-Klassifikation für noch unklassifizierte Quellen starten">+ Klassifikation starten</button>
+            <button class="btn btn-primary btn-small" onclick="bulkApproveHighConfidence()" title="Alle Vorschläge ab 0.85 Konfidenz übernehmen">Alle ≥ 0.85 genehmigen</button>
+          </div>
+        </div>
+        <div class="card">
+          <div class="review-list" id="classificationReviewList">
+            <div class="text-muted" style="padding:24px;text-align:center;">Lade Review-Queue…</div>
+          </div>
+        </div>
+      </div>
+
     </div> <!-- /sec-sources -->
 
     <!-- Audit-Log Section -->
@@ -653,6 +683,96 @@
             <label for="sourceNotes">Notizen</label>
             <input type="text" id="sourceNotes" placeholder="Optional">
           </div>
+
+          <div class="sources-classification-section">
+            <div class="sources-classification-header">Einordnung (Klassifikation)</div>
+            <div style="display:grid;grid-template-columns:1fr 1fr 1fr;gap:12px;">
+              <div class="form-group">
+                <label for="sourcePolitical">Politische Ausrichtung</label>
+                <select id="sourcePolitical">
+                  <option value="">— unverändert —</option>
+                  <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="sourceMediaType">Medientyp</label>
+                <select id="sourceMediaType">
+                  <option value="">— unverändert —</option>
+                  <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="sourceReliability">Glaubwürdigkeit</label>
+                <select id="sourceReliability">
+                  <option value="">— unverändert —</option>
+                  <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>
+            <div style="display:grid;grid-template-columns:1fr 1fr;gap:12px;margin-top:8px;">
+              <div class="form-group">
+                <label for="sourceCountryCode">Land (ISO 3166)</label>
+                <input type="text" id="sourceCountryCode" 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;margin-top:24px;">
+                  <input type="checkbox" id="sourceStateAffiliated">
+                  <span>Staatsnah / staatlich kontrolliert</span>
+                </label>
+              </div>
+            </div>
+            <div class="form-group" style="margin-top:8px;">
+              <label>Geopolitische Nähe (Mehrfachauswahl)</label>
+              <div id="sourceAlignmentChips" class="alignment-chips" onclick="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 id="sourceError" class="error-msg" style="display:none"></div>
         </div>
         <div class="modal-footer">

src/static/js/sources.js

@@ -37,6 +37,7 @@ function setupSourceSubTabs() {
       if (subtab === "global-sources") loadGlobalSources();
       else if (subtab === "tenant-sources") loadTenantSources();
       else if (subtab === "source-health") loadHealthData();
+      else if (subtab === "classification-review") loadClassificationQueue();
     });
   });
 }
@@ -280,6 +281,7 @@ function openNewGlobalSource() {
   editingSourceId = null;
   document.getElementById("sourceModalTitle").textContent = "Neue Grundquelle";
   document.getElementById("sourceForm").reset();
+  setAlignmentChips([]);
   openModal("modalSource");
 }
 
@@ -298,6 +300,12 @@ function editGlobalSource(id) {
   document.getElementById("sourceLanguage").value = s.language || "";
   document.getElementById("sourceBias").value = s.bias || "";
   document.getElementById("sourceFetchStrategy").value = s.fetch_strategy || "default";
+  document.getElementById("sourcePolitical").value = s.political_orientation || "";
+  document.getElementById("sourceMediaType").value = s.media_type || "";
+  document.getElementById("sourceReliability").value = s.reliability || "";
+  document.getElementById("sourceCountryCode").value = s.country_code || "";
+  document.getElementById("sourceStateAffiliated").checked = !!s.state_affiliated;
+  setAlignmentChips(s.alignments || []);
   openModal("modalSource");
 }
 
@@ -328,6 +336,19 @@ function setupSourceForms() {
       fetch_strategy: document.getElementById("sourceFetchStrategy").value || "default",
     };
 
+    const pol = document.getElementById("sourcePolitical")?.value;
+    if (pol) body.political_orientation = pol;
+    const mt = document.getElementById("sourceMediaType")?.value;
+    if (mt) body.media_type = mt;
+    const rel = document.getElementById("sourceReliability")?.value;
+    if (rel) body.reliability = rel;
+    const cc = (document.getElementById("sourceCountryCode")?.value || "").trim().toUpperCase();
+    if (cc) body.country_code = cc;
+    if (editingSourceId) {
+      body.state_affiliated = !!document.getElementById("sourceStateAffiliated")?.checked;
+      body.alignments = getAlignmentChips();
+    }
+
     try {
       if (editingSourceId) {
         await API.put("/api/sources/global/" + editingSourceId, body);
@@ -641,6 +662,213 @@ async function addDiscoveredFeeds() {
   }
 }
 
+
+// === Klassifikations-Review ===
+
+const POLITICAL_LABELS = {
+  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" },
+};
+const RELIABILITY_LABELS = {
+  sehr_hoch: "Sehr hoch", hoch: "Hoch", gemischt: "Gemischt",
+  niedrig: "Niedrig", sehr_niedrig: "Sehr niedrig", na: "Nicht eingeordnet",
+};
+const MEDIA_TYPE_LABELS = {
+  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",
+};
+const ALIGNMENT_LABELS = {
+  prorussisch: "prorussisch", proiranisch: "proiranisch", prowestlich: "prowestlich",
+  proukrainisch: "proukrainisch", prochinesisch: "prochinesisch", projapanisch: "projapanisch",
+  proisraelisch: "proisraelisch", propalaestinensisch: "propalästinensisch",
+  protuerkisch: "protürkisch", panarabisch: "panarabisch", neutral: "neutral", sonstige: "sonstige",
+};
+
+function setAlignmentChips(active) {
+  const chips = document.querySelectorAll("#sourceAlignmentChips .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");
+  });
+}
+
+function getAlignmentChips() {
+  return Array.from(document.querySelectorAll("#sourceAlignmentChips .alignment-chip.active"))
+    .map((chip) => chip.dataset.alignment);
+}
+
+function handleAlignmentChipClick(e) {
+  const chip = e.target.closest(".alignment-chip");
+  if (!chip) return;
+  e.preventDefault();
+  chip.classList.toggle("active");
+}
+
+async function refreshClassificationStats() {
+  try {
+    const stats = await API.get("/api/sources/classification/stats");
+    const badge = document.getElementById("classificationPendingBadge");
+    if (badge) badge.textContent = String(stats.pending_review || 0);
+  } catch (_) { /* still ok */ }
+}
+
+async function loadClassificationQueue() {
+  const list = document.getElementById("classificationReviewList");
+  if (!list) return;
+  const minConf = parseFloat(document.getElementById("reviewMinConfidence")?.value || "0");
+  list.innerHTML = '<div class="text-muted" style="padding:24px;text-align:center;">Lade…</div>';
+  try {
+    const items = await API.get(`/api/sources/classification/queue?limit=200&min_confidence=${minConf}`);
+    const countEl = document.getElementById("reviewPendingCount");
+    if (countEl) countEl.textContent = String(items.length);
+    refreshClassificationStats();
+    if (items.length === 0) {
+      list.innerHTML = '<div class="text-muted" style="padding:24px;text-align:center;">Keine ausstehenden Vorschläge.</div>';
+      return;
+    }
+    list.innerHTML = items.map((it) => renderClassificationQueueItem(it)).join("");
+  } catch (err) {
+    list.innerHTML = `<div class="text-danger" style="padding:24px;text-align:center;">Fehler: ${esc(err.message)}</div>`;
+  }
+}
+
+function renderClassificationQueueItem(item) {
+  const cur = item.current || {};
+  const prop = item.proposed || {};
+  const conf = prop.confidence || 0;
+  const confPct = Math.round(conf * 100);
+  const confClass = conf >= 0.85 ? "high" : conf >= 0.7 ? "medium" : "low";
+
+  const polFmt = (v) => (v && v !== "na" ? POLITICAL_LABELS[v]?.full || v : "–");
+  const mtFmt = (v) => (v ? MEDIA_TYPE_LABELS[v] || v : "–");
+  const relFmt = (v) => (v && v !== "na" ? RELIABILITY_LABELS[v] || v : "–");
+  const stateFmt = (v) => (v ? "ja" : "nein");
+  const ccFmt = (v) => v || "–";
+  const alignFmt = (v) =>
+    Array.isArray(v) && v.length > 0 ? v.map((a) => ALIGNMENT_LABELS[a] || a).join(", ") : "–";
+
+  const row = (label, c, p, fmt) => {
+    const cs = fmt(c);
+    const ps = fmt(p);
+    const changed = cs !== ps;
+    return `<div class="review-diff-row${changed ? " changed" : ""}">
+      <span class="review-diff-label">${esc(label)}</span>
+      <span class="review-diff-current">${esc(cs)}</span>
+      <span class="review-diff-arrow">→</span>
+      <span class="review-diff-proposed">${esc(ps)}</span>
+    </div>`;
+  };
+
+  const reasoning = prop.reasoning ? esc(prop.reasoning) : "";
+
+  return `<div class="review-card" data-source-id="${item.id}">
+    <div class="review-card-header">
+      <div class="review-card-title">
+        <span class="review-card-name">${esc(item.name)}</span>
+        ${item.is_global ? '<span class="review-global-badge">Grundquelle</span>' : ""}
+        <span class="review-card-domain">${esc(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">
+      ${row("Politik", cur.political_orientation, prop.political_orientation, polFmt)}
+      ${row("Medientyp", cur.media_type, prop.media_type, mtFmt)}
+      ${row("Glaubwürdigkeit", cur.reliability, prop.reliability, relFmt)}
+      ${row("Staatsnah", cur.state_affiliated, prop.state_affiliated, stateFmt)}
+      ${row("Land", cur.country_code, prop.country_code, ccFmt)}
+      ${row("Geopol. Nähe", cur.alignments, prop.alignments, alignFmt)}
+    </div>
+    ${reasoning ? `<div class="review-card-reasoning"><strong>Begründung:</strong> ${reasoning}</div>` : ""}
+    <div class="review-card-actions">
+      <button class="btn btn-small btn-primary" onclick="approveClassification(${item.id})">Übernehmen</button>
+      <button class="btn btn-small btn-secondary" onclick="rejectClassification(${item.id})">Verwerfen</button>
+      <button class="btn btn-small btn-secondary" data-reclassify-id="${item.id}" onclick="reclassifySource(${item.id})">Neu klassifizieren</button>
+    </div>
+  </div>`;
+}
+
+async function approveClassification(id) {
+  try {
+    await API.post(`/api/sources/${id}/classification/approve`, {});
+    showToast("Klassifikation übernommen.", "success");
+    loadClassificationQueue();
+  } catch (err) {
+    showToast("Approve fehlgeschlagen: " + err.message, "error");
+  }
+}
+
+async function rejectClassification(id) {
+  try {
+    await API.post(`/api/sources/${id}/classification/reject`, {});
+    showToast("Vorschlag verworfen.", "success");
+    loadClassificationQueue();
+  } catch (err) {
+    showToast("Reject fehlgeschlagen: " + err.message, "error");
+  }
+}
+
+async function reclassifySource(id) {
+  const btn = document.querySelector(`[data-reclassify-id="${id}"]`);
+  if (btn) { btn.disabled = true; btn.textContent = "..."; }
+  try {
+    await API.post(`/api/sources/${id}/classification/reclassify`, {});
+    showToast("Neu klassifiziert.", "success");
+    loadClassificationQueue();
+  } catch (err) {
+    showToast("Reclassify fehlgeschlagen: " + err.message, "error");
+  } finally {
+    if (btn) { btn.disabled = false; btn.textContent = "Neu klassifizieren"; }
+  }
+}
+
+async function triggerBulkClassify() {
+  if (!confirm("Bulk-Klassifikation aller noch nicht klassifizierten Quellen starten? Läuft im Hintergrund (~3-5 Sek pro Quelle, ~0.02 USD pro Quelle).")) return;
+  try {
+    const r = await API.post("/api/sources/classification/bulk-classify?limit=500&only_unclassified=true", {});
+    showToast(`Bulk-Klassifikation gestartet (limit=${r.limit}). In ~10 min neu laden.`, "info");
+  } catch (err) {
+    showToast("Start fehlgeschlagen: " + err.message, "error");
+  }
+}
+
+async function bulkApproveHighConfidence() {
+  if (!confirm("Alle Vorschläge mit Konfidenz ≥ 0.85 genehmigen?")) return;
+  try {
+    const r = await API.post("/api/sources/classification/bulk-approve?min_confidence=0.85", {});
+    showToast(`${r.approved} Vorschläge übernommen.`, "success");
+    loadClassificationQueue();
+  } catch (err) {
+    showToast("Bulk-Approve fehlgeschlagen: " + err.message, "error");
+  }
+}
+
+async function triggerExternalReputationSync() {
+  if (!confirm("IFCN- und EUvsDisinfo-Datenbanken jetzt syncen? Läuft im Hintergrund (~30 Sek).")) return;
+  try {
+    await API.post("/api/sources/external-reputation/sync", {});
+    showToast("Externer Sync gestartet. Quellenliste in ~30 Sek neu laden.", "info");
+  } catch (err) {
+    showToast("Sync fehlgeschlagen: " + err.message, "error");
+  }
+}
+
 function toggleSourceInfo(id) {
   const row = document.getElementById("notes-" + id);
   if (!row) return;