Analysepipeline: Visualisierung der Refresh-Schritte

Neuer Tab "Analysepipeline" zwischen Faktencheck und Quellenuebersicht.
Zeigt 9 Verarbeitungsschritte als n8n-artige Blockkette: Quellen sichten,
Nachrichten sammeln, Doppeltes filtern, Relevanz bewerten, Orte erkennen,
Lagebild verfassen, Fakten pruefen, Qualitaetscheck, Benachrichtigen.

- Backend: refresh_pipeline_steps-Tabelle persistiert pro Refresh+Pass die
  Status- und Zahlen-Werte. pipeline_tracker.py kapselt Start/Done/Skip/Error
  inkl. WebSocket-Broadcast (Event-Typ pipeline_step). 9 Hooks im Orchestrator
  speisen die Anzeige.
- API: GET /api/incidents/{id}/pipeline liefert Definition + letzten Stand
  (Zahlen aus letztem Refresh, Multi-Pass-Konsolidierung).
- Frontend: pipeline.js rendert Vollbild-Blockkette mit pulsierendem Glow am
  aktiven Block, animierten Pfeilen bei Datenfluss, Haekchen am fertigen Block.
  Hover-Tooltip mit Erklaerung in Nutzersprache, Klick oeffnet Detail-Popup.
  Bei Research-Lagen leuchtet ein Schleifen-Pfeil pro Mehrfach-Durchlauf auf.
  Mini-Variante (nur Icons) im Refresh-Progress-Popup.
- CSS: Light/Dark-Theme-fest, dezenter Circuit-Hintergrund (5% Opacity),
  Mobile-vertikale Stapelung unter 900px, prefers-reduced-motion respektiert.
- Uebersprungene Schritte (z.B. Geoparsing ohne neue Artikel) werden
  ausgeblendet, brandneue Lagen ohne Refresh zeigen Hinweis.

Tooltips bewusst in normaler Sprache ohne Internas (keine Modellnamen,
keine Toolnamen, keine Phasen-Labels).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

src/database.py

@@ -117,6 +117,22 @@ CREATE TABLE IF NOT EXISTS refresh_log (
     tenant_id INTEGER REFERENCES organizations(id)
 );
 
+CREATE TABLE IF NOT EXISTS refresh_pipeline_steps (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    refresh_log_id INTEGER REFERENCES refresh_log(id) ON DELETE CASCADE,
+    incident_id INTEGER REFERENCES incidents(id) ON DELETE CASCADE,
+    step_key TEXT NOT NULL,
+    pass_number INTEGER DEFAULT 1,
+    started_at TIMESTAMP,
+    completed_at TIMESTAMP,
+    status TEXT DEFAULT 'pending',
+    count_value INTEGER,
+    count_secondary INTEGER,
+    tenant_id INTEGER REFERENCES organizations(id)
+);
+CREATE INDEX IF NOT EXISTS idx_pipeline_steps_incident ON refresh_pipeline_steps(incident_id, started_at DESC);
+CREATE INDEX IF NOT EXISTS idx_pipeline_steps_log ON refresh_pipeline_steps(refresh_log_id);
+
 CREATE TABLE IF NOT EXISTS incident_snapshots (
     id INTEGER PRIMARY KEY AUTOINCREMENT,
     incident_id INTEGER REFERENCES incidents(id) ON DELETE CASCADE,
@@ -418,6 +434,29 @@ async def init_db():
             await db.execute("ALTER TABLE refresh_log ADD COLUMN tenant_id INTEGER REFERENCES organizations(id)")
             await db.commit()
 
+        # Migration: refresh_pipeline_steps-Tabelle (Analysepipeline-Visualisierung)
+        cursor = await db.execute("SELECT name FROM sqlite_master WHERE type='table' AND name='refresh_pipeline_steps'")
+        if not await cursor.fetchone():
+            await db.executescript("""
+                CREATE TABLE refresh_pipeline_steps (
+                    id INTEGER PRIMARY KEY AUTOINCREMENT,
+                    refresh_log_id INTEGER REFERENCES refresh_log(id) ON DELETE CASCADE,
+                    incident_id INTEGER REFERENCES incidents(id) ON DELETE CASCADE,
+                    step_key TEXT NOT NULL,
+                    pass_number INTEGER DEFAULT 1,
+                    started_at TIMESTAMP,
+                    completed_at TIMESTAMP,
+                    status TEXT DEFAULT 'pending',
+                    count_value INTEGER,
+                    count_secondary INTEGER,
+                    tenant_id INTEGER REFERENCES organizations(id)
+                );
+                CREATE INDEX IF NOT EXISTS idx_pipeline_steps_incident ON refresh_pipeline_steps(incident_id, started_at DESC);
+                CREATE INDEX IF NOT EXISTS idx_pipeline_steps_log ON refresh_pipeline_steps(refresh_log_id);
+            """)
+            await db.commit()
+            logger.info("Migration: refresh_pipeline_steps-Tabelle erstellt")
+
         # Migration: notifications-Tabelle (fuer bestehende DBs)
         cursor = await db.execute("SELECT name FROM sqlite_master WHERE type='table' AND name='notifications'")
         if not await cursor.fetchone():