feat: ALLRIS-Rescrape vor KI-Neubewertung (#10)

- backend/src/tracker/core/rescrape.py: Eigenständiges Rescrape-Modul
  - rescrape_vorlage(): Beratungsfolge + Beschlusstexte + PDF-Volltext
  - rescrape_kette(): Alle Glieder einer Kette rescrapen
  - Eigene DB-Connection (thread-safe), Rate-Limiting 1s, Fehlertoleranz
- bewertung.py: Rescrape-Phase vor KI-Call in beiden Workflows
  - _run_zusammenfassung(): rescrape_vorlage() → frische Daten → KI
  - _run_ketten_bewertung(): rescrape_kette() → frische Daten → KI
  - Status-Endpoint liefert 'phase' Feld mit
- Frontend: Phase-aware Status-Anzeige im Explorer
  - rescrape → '📡 Daten aktualisieren...'
  - ki_bewertung → '🤖 KI bewertet...'

backend/src/tracker/api/routes/bewertung.py

@@ -12,6 +12,9 @@ from fastapi import APIRouter, Depends, HTTPException
 from pydantic import BaseModel
 
 from tracker.db.session import get_connection
+
+import logging
+logger = logging.getLogger(__name__)
 # Note: Re-evaluation should re-scrape ALLRIS data before KI evaluation
 # to exclude transfer errors. See Gitea issue for full spec.
 # IMPORTANT: Destructive changes (deleting old bewertungen etc.) only after
@@ -182,6 +185,16 @@ def _run_zusammenfassung(vorlage_id: int, anmerkung: str, job_id: str):
     try:
         conn = get_connection()
 
+        # --- Rescrape ALLRIS data before KI evaluation ---
+        _jobs[job_id]["phase"] = "rescrape"
+        try:
+            from tracker.core.rescrape import rescrape_vorlage
+            rescrape_vorlage(conn, vorlage_id)
+        except Exception as e:
+            logger.warning("Rescrape failed for vorlage %s: %s", vorlage_id, e)
+        _jobs[job_id]["phase"] = "ki_bewertung"
+
+        # Reload fresh data after rescrape
         row = conn.execute("SELECT volltext_clean, aktenzeichen FROM vorlagen WHERE id = ?", (vorlage_id,)).fetchone()
         if not row or not row["volltext_clean"]:
             _jobs[job_id] = {"status": "error", "error": "Kein Volltext vorhanden"}
@@ -256,6 +269,15 @@ def _run_ketten_bewertung(kette_id: int, anmerkung: str, job_id: str):
     try:
         conn = get_connection()
 
+        # --- Rescrape all Glieder before KI evaluation ---
+        _jobs[job_id]["phase"] = "rescrape"
+        try:
+            from tracker.core.rescrape import rescrape_kette
+            rescrape_kette(conn, kette_id)
+        except Exception as e:
+            logger.warning("Rescrape failed for kette %s: %s", kette_id, e)
+        _jobs[job_id]["phase"] = "ki_bewertung"
+
         # Get kette + ursprung
         kette = conn.execute(
             "SELECT k.*, v.aktenzeichen, v.volltext_clean FROM ketten k JOIN vorlagen v ON k.ursprung_id = v.id WHERE k.id = ?",
@@ -426,4 +448,5 @@ def get_job_status(job_id: str):
     """Check status of a re-evaluation job."""
     if job_id not in _jobs:
         raise HTTPException(status_code=404, detail="Job nicht gefunden")
-    return _jobs[job_id]
+    job = _jobs[job_id]
+    return {**job, "phase": job.get("phase", "")}

backend/src/tracker/core/rescrape.py

@@ -0,0 +1,274 @@
+"""
+ALLRIS Rescrape-Modul.
+
+Scrapet Beratungsfolge, Beschlusstexte und PDF-Volltext für eine Vorlage
+oder alle Glieder einer Kette. Eigenständig importierbar aus dem Backend.
+"""
+from __future__ import annotations
+
+import logging
+import re
+import subprocess
+import tempfile
+import time
+
+import httpx
+from bs4 import BeautifulSoup
+
+from tracker.db.session import get_connection
+
+logger = logging.getLogger(__name__)
+
+ALLRIS_BASE = "https://allris.hagen.de"
+DELAY_SECONDS = 1.0
+HTTP_TIMEOUT = 30
+
+
+# ---------------------------------------------------------------------------
+# HTTP helpers
+# ---------------------------------------------------------------------------
+
+def _get(url: str) -> httpx.Response:
+    """GET with timeout and redirect following."""
+    return httpx.get(url, timeout=HTTP_TIMEOUT, follow_redirects=True)
+
+
+# ---------------------------------------------------------------------------
+# Scraping functions (adapted from scripts/scrape_beratungsfolge.py)
+# ---------------------------------------------------------------------------
+
+def _scrape_vorlage_page(url: str) -> list[dict]:
+    """Scrape Beratungsfolge von einer ALLRIS Vorlagen-Seite."""
+    resp = _get(url)
+    resp.raise_for_status()
+    soup = BeautifulSoup(resp.text, "html.parser")
+
+    beratungen: list[dict] = []
+
+    for link in soup.find_all("a", href=True):
+        href = link["href"]
+        if "to020" not in href or "TOLFDNR=" not in href:
+            continue
+
+        tolfdnr_match = re.search(r"TOLFDNR=(\d+)", href)
+        if not tolfdnr_match:
+            continue
+
+        tolfdnr = tolfdnr_match.group(1)
+        beschlussart = link.get_text(strip=True)
+
+        # Sitzungsinfo aus vorherigem Link
+        sitzung_name = None
+        prev = link.find_previous("a", href=re.compile(r"to010.*SILFDNR="))
+        if prev:
+            sitzung_name = prev.get_text(strip=True)
+
+        to_url = href if href.startswith("http") else ALLRIS_BASE + href
+
+        beratungen.append({
+            "tolfdnr": tolfdnr,
+            "beschlussart": beschlussart,
+            "sitzung_name": sitzung_name,
+            "to_url": to_url,
+        })
+
+    return beratungen
+
+
+def _scrape_to_page(url: str) -> dict:
+    """Scrape Beschlusstext und Wortprotokoll von einer TO-Seite."""
+    resp = _get(url)
+    resp.raise_for_status()
+    soup = BeautifulSoup(resp.text, "html.parser")
+
+    result: dict = {
+        "beschlusstext": None,
+        "wortprotokoll": None,
+        "sitzung_datum": None,
+    }
+
+    # Datum aus Titel
+    title = soup.find("h1", class_="title")
+    if title:
+        date_match = re.search(r"(\d{2}\.\d{2}\.\d{4})", title.get_text())
+        if date_match:
+            result["sitzung_datum"] = date_match.group(1)
+
+    # Texte in <span style="font-family:…Arial…">
+    text_spans = soup.find_all("span", style=re.compile(r"font-family.*Arial"))
+    texts = [s.get_text(strip=True) for s in text_spans if s.get_text(strip=True)]
+
+    if texts:
+        result["beschlusstext"] = texts[-1]
+        if len(texts) > 1:
+            result["wortprotokoll"] = "\n\n".join(texts[:-1])
+
+    return result
+
+
+def _extract_pdf_text(url: str) -> str | None:
+    """Download PDF and extract text via PyMuPDF."""
+    try:
+        import pymupdf
+    except ImportError:
+        logger.warning("pymupdf not installed, skipping PDF extraction")
+        return None
+
+    resp = httpx.get(url, timeout=60, follow_redirects=True)
+    resp.raise_for_status()
+
+    if len(resp.content) < 100:
+        return None
+
+    with tempfile.NamedTemporaryFile(suffix=".pdf", delete=True) as tmp:
+        tmp.write(resp.content)
+        tmp.flush()
+        doc = pymupdf.open(tmp.name)
+        parts = [page.get_text() for page in doc]
+        doc.close()
+
+    text = "\n".join(parts).strip()
+    return text if len(text) >= 50 else None
+
+
+# ---------------------------------------------------------------------------
+# Public API
+# ---------------------------------------------------------------------------
+
+def rescrape_vorlage(conn_or_none, vorlage_id: int) -> dict:
+    """
+    Rescrape ALLRIS data for a single Vorlage.
+
+    Opens its OWN DB connection (thread-safe).
+    ``conn_or_none`` is accepted for signature compat but ignored —
+    we always create a fresh connection so this is safe from threads.
+
+    Returns: {"updated_beratungen": N, "updated_volltext": bool, "errors": [...]}
+    """
+    own_conn = get_connection()
+    try:
+        return _rescrape_vorlage_impl(own_conn, vorlage_id)
+    finally:
+        own_conn.close()
+
+
+def _rescrape_vorlage_impl(conn, vorlage_id: int) -> dict:
+    result = {"updated_beratungen": 0, "updated_volltext": False, "errors": []}
+
+    row = conn.execute(
+        "SELECT web_url, aktenzeichen, pdf_url, volltext_clean FROM vorlagen WHERE id = ?",
+        (vorlage_id,),
+    ).fetchone()
+
+    if not row:
+        result["errors"].append(f"Vorlage {vorlage_id} nicht gefunden")
+        return result
+
+    web_url = row["web_url"]
+    pdf_url = row["pdf_url"]
+    volltext_clean = row["volltext_clean"]
+
+    # --- 1. Beratungsfolge scrapen ---
+    if web_url:
+        try:
+            beratungen = _scrape_vorlage_page(web_url)
+            logger.info("Vorlage %s: %d Beratungen gefunden", vorlage_id, len(beratungen))
+
+            for b in beratungen:
+                time.sleep(DELAY_SECONDS)
+                try:
+                    to_details = _scrape_to_page(b["to_url"])
+                except Exception as e:
+                    result["errors"].append(f"TO {b['tolfdnr']}: {e}")
+                    to_details = {}
+
+                # Upsert: try update first, then insert
+                cur = conn.execute(
+                    """UPDATE beratungen
+                       SET to_url = ?, beschlussart = ?,
+                           beschlusstext = ?, wortprotokoll = ?,
+                           scraped_at = CURRENT_TIMESTAMP
+                       WHERE vorlage_id = ? AND tolfdnr = ?""",
+                    (
+                        b["to_url"],
+                        b["beschlussart"],
+                        to_details.get("beschlusstext"),
+                        to_details.get("wortprotokoll"),
+                        vorlage_id,
+                        b["tolfdnr"],
+                    ),
+                )
+                if cur.rowcount == 0:
+                    conn.execute(
+                        """INSERT INTO beratungen
+                           (vorlage_id, to_url, tolfdnr, beschlussart,
+                            beschlusstext, wortprotokoll, scraped_at)
+                           VALUES (?, ?, ?, ?, ?, ?, CURRENT_TIMESTAMP)""",
+                        (
+                            vorlage_id,
+                            b["to_url"],
+                            b["tolfdnr"],
+                            b["beschlussart"],
+                            to_details.get("beschlusstext"),
+                            to_details.get("wortprotokoll"),
+                        ),
+                    )
+                result["updated_beratungen"] += 1
+
+            conn.commit()
+        except Exception as e:
+            result["errors"].append(f"Beratungsfolge: {e}")
+            logger.exception("Fehler beim Scrapen der Beratungsfolge für Vorlage %s", vorlage_id)
+
+    # --- 2. PDF-Volltext ---
+    if pdf_url and not volltext_clean:
+        try:
+            time.sleep(DELAY_SECONDS)
+            text = _extract_pdf_text(pdf_url)
+            if text:
+                conn.execute(
+                    "UPDATE vorlagen SET volltext_clean = ? WHERE id = ?",
+                    (text, vorlage_id),
+                )
+                conn.commit()
+                result["updated_volltext"] = True
+                logger.info("Vorlage %s: Volltext extrahiert (%d Zeichen)", vorlage_id, len(text))
+        except Exception as e:
+            result["errors"].append(f"PDF: {e}")
+            logger.exception("Fehler bei PDF-Extraktion für Vorlage %s", vorlage_id)
+
+    return result
+
+
+def rescrape_kette(conn_or_none, kette_id: int) -> dict:
+    """
+    Rescrape all Glieder of a Kette.
+
+    Opens its OWN DB connection (thread-safe).
+    Returns: {"vorlage_results": [...], "total_beratungen": N, "total_volltext": N, "errors": [...]}
+    """
+    own_conn = get_connection()
+    try:
+        glieder = own_conn.execute(
+            "SELECT vorlage_id FROM ketten_glieder WHERE kette_id = ?",
+            (kette_id,),
+        ).fetchall()
+
+        summary = {
+            "vorlage_results": [],
+            "total_beratungen": 0,
+            "total_volltext": 0,
+            "errors": [],
+        }
+
+        for g in glieder:
+            vid = g["vorlage_id"]
+            r = _rescrape_vorlage_impl(own_conn, vid)
+            summary["vorlage_results"].append({"vorlage_id": vid, **r})
+            summary["total_beratungen"] += r["updated_beratungen"]
+            summary["total_volltext"] += int(r["updated_volltext"])
+            summary["errors"].extend(r["errors"])
+
+        return summary
+    finally:
+        own_conn.close()

frontend/src/lib/api.ts

@@ -234,7 +234,7 @@ export const reevalKette = (id: number, anmerkung: string) =>
 	post<{ job_id: string; status: string }>(`/bewertung/ketten/${id}`, { anmerkung });
 
 export const fetchJobStatus = (jobId: string) =>
-	get<{ status: string; result?: object; error?: string }>(`/bewertung/status/${jobId}`);
+	get<{ status: string; result?: object; error?: string; phase?: string }>(`/bewertung/status/${jobId}`);
 
 export interface SuchVorschlag {
 	id: number;

frontend/src/routes/explorer/+page.svelte

@@ -89,6 +89,7 @@
 	let showReeval = $state(false);
 	let reevalAnmerkung = $state('');
 	let reevalStatus = $state<'idle' | 'running' | 'done' | 'error'>('idle');
+	let reevalPhase = $state<string>('');
 	let reevalError = $state('');
 
 	async function triggerReeval() {
@@ -100,6 +101,7 @@
 			for (let i = 0; i < 60; i++) {
 				await new Promise(r => setTimeout(r, 3000));
 				const status = await fetchJobStatus(job_id);
+				reevalPhase = status.phase || '';
 				if (status.status === 'done') {
 					reevalStatus = 'done';
 					selectedVorlage = await fetchVorlage(selectedVorlage!.id);
@@ -706,7 +708,13 @@
 								{#if reevalStatus === 'running'}
 									<span class="inline-flex items-center gap-2">
 										<span class="animate-spin h-4 w-4 border-2 border-white border-t-transparent rounded-full"></span>
-										KI bewertet…
+										{#if reevalPhase === 'rescrape'}
+											📡 Daten aktualisieren…
+										{:else if reevalPhase === 'ki_bewertung'}
+											🤖 KI bewertet…
+										{:else}
+											KI bewertet…
+										{/if}
 									</span>
 								{:else}
 									Bewertung starten