Commits vergleichen

..

6 Commits

Autor SHA1 Nachricht Datum
b3bc96c580 Promote develop → main (2026-05-01 12:48 UTC) 2026-05-01 14:48:16 +02:00
c9bd6310ae Analysepipeline: Snake-Track mittig zentrieren statt 100% breit
Track war 100% breit, dadurch saß die ltr-Reihe links und die rtl-Reihe
rechts in der Karte. Block 3 (Ende Reihe 1) und Block 4 (Anfang Reihe 2)
lagen weit auseinander, der Reihenwechsel-Pfeil wirkte zusammenhanglos.

Track ist jetzt inline-flex (schrumpft auf Inhaltsbreite, ca. 3 Blöcke
plus Lücken) und wird in der Karte zentriert. Alle drei Reihen sind
gleich breit, Block 3 sitzt direkt über Block 4, die Snake-Form wird
optisch nachvollziehbar.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-01 14:38:19 +02:00
392028a9aa Analysepipeline: kompakter Reihenwechsel-Pfeil statt langem Bogen
Der U-Turn-Bogen, der quer ueber die ganze Box-Breite lief, wirkte bei
nur drei Bloecken pro Reihe optisch ueberladen. Jetzt sitzt unter dem
letzten Block der oberen Reihe ein schlichter, kurzer Pfeil nach unten,
der direkt zum ersten Block der naechsten Reihe zeigt.

- pipeline.js: Neue _renderUturn-Variante, die Spacer (Block-Breite)
  vor oder hinter den Pfeil setzt, sodass er passgenau unter dem letzten
  Block sitzt (rechts nach ltr-Reihe, links nach rtl-Reihe).
- style.css: Pfeil-Container nutzt Flex mit Block-Breite-Spacern statt
  100%-breitem SVG. Kurzer ↓ als gerader Pfad mit Pfeilkopf,
  is-flowing-Animation bleibt erhalten.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-01 14:35:13 +02:00
7b5adccf2b Analysepipeline: echte Umlaute und ASCII-Bindestriche
Em-dashes und Umlaut-Umschreibungen aus den Pipeline-Aenderungen
entfernt: Tooltip-Texte, HTML-Empty-State, JS-Kommentare,
Count-Status-Platzhalter, Orchestrator-Kommentare und CSS-Kommentare.

Anstelle von typografischen Gedankenstrichen werden jetzt Kommas oder
Punkte gesetzt, "uebersprungen" -> "uebersprungen" mit echtem Umlaut,
"laeuft" usw. analog. UI-Text "&mdash; Refresh starten" wird zu zwei
Saetzen.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-01 14:16:28 +02:00
059a9a2dc7 Analysepipeline: Snake-Layout (3x3) statt linearer Reihe
Pipeline laeuft jetzt zickzack: Reihe 1 von links nach rechts, U-Turn
nach unten, Reihe 2 von rechts nach links, U-Turn nach unten,
Reihe 3 wieder von links nach rechts. Karte waechst auf benoetigte
Hoehe statt horizontalem Scrollen.

- pipeline.js: Bloecke werden in Dreier-Gruppen aufgeteilt, Direction
  ltr/rtl wechselt pro Reihe. Zwischen Reihen rendert ein SVG-U-Turn-Pfeil
  (Bogen mit Pfeilkopf) die Verbindung. Daten-Fluss-Animation (is-flowing)
  funktioniert sowohl auf Inner-Pfeilen als auch auf U-Turns.
- CSS: .pipeline-row mit flex-direction abhaengig von data-direction.
  rtl-Reihen kippen Pfeilkopf und Animation in entgegengesetzte Richtung.
  U-Turn-Pfad als SVG mit stroke-dasharray-Animation bei aktivem Fluss.
- Mobile (<900px): Snake aufgeloest, alle Reihen werden vertikal
  gestapelt, U-Turns ausgeblendet — bestehende Vertikal-Stilistik bleibt.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-01 14:07:58 +02:00
3a346ba2ec 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>
2026-05-01 13:53:44 +02:00
10 geänderte Dateien mit 1452 neuen und 2 gelöschten Zeilen

Datei anzeigen

@@ -677,6 +677,7 @@ class AgentOrchestrator:
from agents.analyzer import AnalyzerAgent from agents.analyzer import AnalyzerAgent
from agents.factchecker import FactCheckerAgent from agents.factchecker import FactCheckerAgent
from feeds.rss_parser import RSSParser from feeds.rss_parser import RSSParser
from services import pipeline_tracker as _pipe
db = await get_db() db = await get_db()
try: try:
@@ -719,6 +720,47 @@ class AgentOrchestrator:
log_id = cursor.lastrowid log_id = cursor.lastrowid
usage_acc = UsageAccumulator() usage_acc = UsageAccumulator()
# --- Pipeline-Tracking (Analysepipeline-Visualisierung) ---
_pass_nr = (_pass_info or {}).get("nr", 1)
_step_ids: dict[str, Optional[int]] = {}
async def _pipe_start(step_key: str):
try:
sid = await _pipe.start_step(
db, self._ws_manager,
refresh_log_id=log_id, incident_id=incident_id, step_key=step_key,
pass_number=_pass_nr, tenant_id=tenant_id,
visibility=visibility, created_by=created_by,
)
_step_ids[step_key] = sid
return sid
except Exception as _e:
logger.debug(f"_pipe_start({step_key}) ignoriert: {_e}")
return None
async def _pipe_done(step_key: str, count_value=None, count_secondary=None):
try:
sid = _step_ids.pop(step_key, None)
await _pipe.complete_step(
db, self._ws_manager, step_id=sid,
refresh_log_id=log_id, incident_id=incident_id, step_key=step_key,
pass_number=_pass_nr, count_value=count_value, count_secondary=count_secondary,
tenant_id=tenant_id, visibility=visibility, created_by=created_by,
)
except Exception as _e:
logger.debug(f"_pipe_done({step_key}) ignoriert: {_e}")
async def _pipe_skip(step_key: str):
try:
await _pipe.skip_step(
db, self._ws_manager,
refresh_log_id=log_id, incident_id=incident_id, step_key=step_key,
pass_number=_pass_nr, tenant_id=tenant_id,
visibility=visibility, created_by=created_by,
)
except Exception as _e:
logger.debug(f"_pipe_skip({step_key}) ignoriert: {_e}")
research_status = "deep_researching" if incident_type == "research" else "researching" research_status = "deep_researching" if incident_type == "research" else "researching"
research_detail = "Hintergrundrecherche im Web läuft..." if incident_type == "research" else "RSS-Feeds und Web werden durchsucht..." research_detail = "Hintergrundrecherche im Web läuft..." if incident_type == "research" else "RSS-Feeds und Web werden durchsucht..."
# Multi-Pass: Detail-Text mit Durchlauf-Info versehen # Multi-Pass: Detail-Text mit Durchlauf-Info versehen
@@ -741,6 +783,23 @@ class AgentOrchestrator:
) )
existing_db_articles_full = await cursor.fetchall() existing_db_articles_full = await cursor.fetchall()
# Pipeline-Schritt 1: Quellen sichten (vorbereitet)
await _pipe_start("sources_review")
try:
if incident_type == "adhoc":
_src_cursor = await db.execute(
"SELECT COUNT(*) AS cnt FROM sources WHERE tenant_id = ? AND status = 'active'",
(tenant_id,),
)
_src_row = await _src_cursor.fetchone()
_src_total = _src_row["cnt"] if _src_row else 0
else:
_src_total = None
except Exception:
_src_total = None
# secondary wird später mit der Anzahl tatsächlich liefernder Quellen ergänzt
await _pipe_done("sources_review", count_value=_src_total, count_secondary=None)
# Schritt 1+2: RSS-Feeds und Claude-Recherche parallel ausführen # Schritt 1+2: RSS-Feeds und Claude-Recherche parallel ausführen
async def _rss_pipeline(): async def _rss_pipeline():
"""RSS-Feed-Suche (Feed-Selektion + dynamische Keywords + Parsing).""" """RSS-Feed-Suche (Feed-Selektion + dynamische Keywords + Parsing)."""
@@ -880,6 +939,9 @@ class AgentOrchestrator:
logger.info(f"Telegram-Pipeline: {len(articles)} Nachrichten") logger.info(f"Telegram-Pipeline: {len(articles)} Nachrichten")
return articles, None return articles, None
# Pipeline-Schritt 2: Nachrichten sammeln (Start)
await _pipe_start("collect")
# Pipelines parallel starten (RSS + WebSearch + Podcasts + optional Telegram) # Pipelines parallel starten (RSS + WebSearch + Podcasts + optional Telegram)
pipelines = [_rss_pipeline(), _web_search_pipeline(), _podcast_pipeline()] pipelines = [_rss_pipeline(), _web_search_pipeline(), _podcast_pipeline()]
if include_telegram: if include_telegram:
@@ -910,6 +972,15 @@ class AgentOrchestrator:
# Alle Ergebnisse zusammenführen # Alle Ergebnisse zusammenführen
all_results = rss_articles + search_results + telegram_articles all_results = rss_articles + search_results + telegram_articles
# Pipeline-Schritt 2: Nachrichten sammeln (fertig)
try:
_delivering_sources = len({a.get("source", "") for a in all_results if a.get("source")})
except Exception:
_delivering_sources = None
await _pipe_done("collect", count_value=len(all_results), count_secondary=_delivering_sources)
# Pipeline-Schritt 3: Doppeltes filtern (Start)
await _pipe_start("dedup")
# Duplikate entfernen (normalisierte URL + Headline-Ähnlichkeit) # Duplikate entfernen (normalisierte URL + Headline-Ähnlichkeit)
seen_urls = set() seen_urls = set()
@@ -922,6 +993,7 @@ class AgentOrchestrator:
dupes_removed = len(all_results) - len(unique_results) dupes_removed = len(all_results) - len(unique_results)
if dupes_removed > 0: if dupes_removed > 0:
logger.info(f"Deduplizierung: {dupes_removed} Duplikate entfernt, {len(unique_results)} verbleibend") logger.info(f"Deduplizierung: {dupes_removed} Duplikate entfernt, {len(unique_results)} verbleibend")
await _pipe_done("dedup", count_value=dupes_removed, count_secondary=len(unique_results))
# Relevanz-Scoring und Sortierung # Relevanz-Scoring und Sortierung
for article in unique_results: for article in unique_results:
@@ -978,6 +1050,10 @@ class AgentOrchestrator:
new_candidates.append(article) new_candidates.append(article)
# Pipeline-Schritt 4: Relevanz bewerten (Start)
await _pipe_start("relevance")
_candidates_before_topic = len(new_candidates)
# --- Semantischer Topic-Filter (Haiku) --- # --- Semantischer Topic-Filter (Haiku) ---
# Wirft Artikel raus, die zwar Keyword-Treffer hatten, aber das Kernthema # Wirft Artikel raus, die zwar Keyword-Treffer hatten, aber das Kernthema
# der Lage nicht inhaltlich behandeln. Bei Fehler Fallback auf alle Kandidaten. # der Lage nicht inhaltlich behandeln. Bei Fehler Fallback auf alle Kandidaten.
@@ -988,6 +1064,7 @@ class AgentOrchestrator:
) )
if _tf_usage: if _tf_usage:
usage_acc.add(_tf_usage) usage_acc.add(_tf_usage)
await _pipe_done("relevance", count_value=len(new_candidates), count_secondary=_candidates_before_topic)
# --- Neue (thematisch gefilterte) Artikel speichern und für Analyse tracken --- # --- Neue (thematisch gefilterte) Artikel speichern und für Analyse tracken ---
new_count = 0 new_count = 0
@@ -1019,6 +1096,8 @@ class AgentOrchestrator:
# Geoparsing: Orte aus neuen Artikeln extrahieren und speichern # Geoparsing: Orte aus neuen Artikeln extrahieren und speichern
if new_articles_for_analysis: if new_articles_for_analysis:
# Pipeline-Schritt 5: Orte erkennen (Start)
await _pipe_start("geoparsing")
try: try:
from agents.geoparsing import geoparse_articles from agents.geoparsing import geoparse_articles
incident_context = f"{title} - {description}" incident_context = f"{title} - {description}"
@@ -1049,8 +1128,12 @@ class AgentOrchestrator:
) )
await db.commit() await db.commit()
logger.info(f"Category-Labels gespeichert fuer Incident {incident_id}: {category_labels}") logger.info(f"Category-Labels gespeichert fuer Incident {incident_id}: {category_labels}")
await _pipe_done("geoparsing", count_value=geo_count, count_secondary=len(geo_results) if geo_results else 0)
except Exception as e: except Exception as e:
logger.warning(f"Geoparsing fehlgeschlagen (Pipeline laeuft weiter): {e}") logger.warning(f"Geoparsing fehlgeschlagen (Pipeline laeuft weiter): {e}")
await _pipe_done("geoparsing", count_value=0, count_secondary=0)
else:
await _pipe_skip("geoparsing")
# Quellen-Statistiken aktualisieren # Quellen-Statistiken aktualisieren
if new_count > 0: if new_count > 0:
@@ -1196,6 +1279,10 @@ class AgentOrchestrator:
articles_for_check = [dict(row) for row in await cursor.fetchall()] articles_for_check = [dict(row) for row in await cursor.fetchall()]
return await factchecker.check(title, articles_for_check, incident_type) return await factchecker.check(title, articles_for_check, incident_type)
# Pipeline-Schritte 6+7: Lagebild verfassen + Fakten prüfen (Start, parallel)
await _pipe_start("summary")
await _pipe_start("factcheck")
# Beide Tasks PARALLEL starten # Beide Tasks PARALLEL starten
logger.info("Starte Analyse und Faktencheck parallel...") logger.info("Starte Analyse und Faktencheck parallel...")
analysis_result, factcheck_result = await asyncio.gather( analysis_result, factcheck_result = await asyncio.gather(
@@ -1205,6 +1292,8 @@ class AgentOrchestrator:
analysis, analysis_usage = analysis_result analysis, analysis_usage = analysis_result
fact_checks, fc_usage = factcheck_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 --- # --- Analyse-Ergebnisse verarbeiten ---
if analysis_usage: if analysis_usage:
@@ -1458,6 +1547,13 @@ class AgentOrchestrator:
await db.commit() await db.commit()
# 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")
# Post-Refresh Quality Check: Duplikate und Karten-Kategorien pruefen # Post-Refresh Quality Check: Duplikate und Karten-Kategorien pruefen
try: try:
from services.post_refresh_qc import run_post_refresh_qc from services.post_refresh_qc import run_post_refresh_qc
@@ -1469,6 +1565,12 @@ class AgentOrchestrator:
) )
except Exception as qc_err: except Exception as qc_err:
logger.warning(f"Post-Refresh QC fehlgeschlagen: {qc_err}") logger.warning(f"Post-Refresh QC fehlgeschlagen: {qc_err}")
await _pipe_done("qc", count_value=None, count_secondary=None)
# Pipeline-Schritt 9: Benachrichtigen (Start)
await _pipe_start("notify")
_notify_count = 0
# Gebündelte Notification senden (nicht beim ersten Refresh) # Gebündelte Notification senden (nicht beim ersten Refresh)
if not is_first_refresh: if not is_first_refresh:
if self._ws_manager: if self._ws_manager:
@@ -1525,6 +1627,32 @@ class AgentOrchestrator:
db, incident_id, title, visibility, created_by, tenant_id, db_notifications, db, incident_id, title, visibility, created_by, tenant_id, db_notifications,
incident_type=incident_type, incident_type=incident_type,
) )
_notify_count = len(db_notifications)
# Pipeline-Schritt 9: Benachrichtigen (fertig)
await _pipe_done("notify", count_value=_notify_count, count_secondary=None)
# Falls Analyse-Block übersprungen wurde (kein neuer Artikel und Summary existiert),
# die noch offenen Pipeline-Schritte als übersprungen markieren.
for _skipped_key in ("summary", "factcheck", "qc", "notify"):
if _skipped_key in _step_ids or _skipped_key not in {"summary", "factcheck", "qc", "notify"}:
pass
# Saubere Variante: alle noch offenen Steps am Ende skippen
for _open_key in list(_step_ids.keys()):
await _pipe_skip(_open_key)
# Auch Steps die nie gestartet wurden (bei übersprungenem Outer-If)
_started_keys = set()
try:
_check_cursor = await db.execute(
"SELECT step_key FROM refresh_pipeline_steps WHERE refresh_log_id = ? AND pass_number = ?",
(log_id, _pass_nr),
)
_started_keys = {row[0] for row in await _check_cursor.fetchall()}
except Exception:
pass
for _missing_key in ("summary", "factcheck", "qc", "notify"):
if _missing_key not in _started_keys:
await _pipe_skip(_missing_key)
# Refresh-Log abschließen (mit Token-Statistiken) # Refresh-Log abschließen (mit Token-Statistiken)
await db.execute( await db.execute(

Datei anzeigen

@@ -117,6 +117,22 @@ CREATE TABLE IF NOT EXISTS refresh_log (
tenant_id INTEGER REFERENCES organizations(id) 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 ( CREATE TABLE IF NOT EXISTS incident_snapshots (
id INTEGER PRIMARY KEY AUTOINCREMENT, id INTEGER PRIMARY KEY AUTOINCREMENT,
incident_id INTEGER REFERENCES incidents(id) ON DELETE CASCADE, 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.execute("ALTER TABLE refresh_log ADD COLUMN tenant_id INTEGER REFERENCES organizations(id)")
await db.commit() 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) # Migration: notifications-Tabelle (fuer bestehende DBs)
cursor = await db.execute("SELECT name FROM sqlite_master WHERE type='table' AND name='notifications'") cursor = await db.execute("SELECT name FROM sqlite_master WHERE type='table' AND name='notifications'")
if not await cursor.fetchone(): if not await cursor.fetchone():

Datei anzeigen

@@ -613,6 +613,98 @@ async def get_factchecks(
return [dict(row) for row in rows] return [dict(row) for row in rows]
@router.get("/{incident_id}/pipeline")
async def get_pipeline(
incident_id: int,
current_user: dict = Depends(get_current_user),
db: aiosqlite.Connection = Depends(db_dependency),
):
"""Analysepipeline-Status der Lage: Definition aller Schritte + Stand des
letzten (oder gerade laufenden) Refreshs.
Antwort:
{
"is_research": bool,
"is_running": bool,
"last_refresh": {started_at, completed_at, duration_sec, status, pass_total} | null,
"steps_definition": [{key, label, icon, tooltip}, ...],
"steps": [{step_key, status, count_value, count_secondary, pass_number}, ...]
}
"""
from services.pipeline_tracker import PIPELINE_STEPS
tenant_id = current_user.get("tenant_id")
incident_row = await _check_incident_access(db, incident_id, current_user["id"], tenant_id)
is_research = (incident_row["type"] or "adhoc") == "research"
# Jüngsten Refresh-Log wählen: bevorzugt running, sonst der letzte completed
cursor = await db.execute(
"""SELECT id, started_at, completed_at, status, retry_count
FROM refresh_log
WHERE incident_id = ? AND status = 'running'
ORDER BY started_at DESC LIMIT 1""",
(incident_id,),
)
row = await cursor.fetchone()
if not row:
cursor = await db.execute(
"""SELECT id, started_at, completed_at, status, retry_count
FROM refresh_log
WHERE incident_id = ?
ORDER BY started_at DESC LIMIT 1""",
(incident_id,),
)
row = await cursor.fetchone()
last_refresh = None
steps = []
is_running = False
if row:
is_running = row["status"] == "running"
# Pipeline-Steps zu diesem Refresh laden
sc = await db.execute(
"""SELECT step_key, pass_number, status, count_value, count_secondary,
started_at, completed_at
FROM refresh_pipeline_steps
WHERE refresh_log_id = ?
ORDER BY pass_number ASC, id ASC""",
(row["id"],),
)
steps = [dict(r) for r in await sc.fetchall()]
# Pass-Total: bei Research-Lagen mit Multi-Pass-Daten ermitteln
max_pass = 1
for s in steps:
if s["pass_number"] and s["pass_number"] > max_pass:
max_pass = s["pass_number"]
# Dauer berechnen (nur wenn completed)
duration_sec = None
try:
if row["started_at"] and row["completed_at"]:
t0 = datetime.strptime(row["started_at"], "%Y-%m-%d %H:%M:%S")
t1 = datetime.strptime(row["completed_at"], "%Y-%m-%d %H:%M:%S")
duration_sec = max(0, int((t1 - t0).total_seconds()))
except Exception:
duration_sec = None
last_refresh = {
"started_at": row["started_at"],
"completed_at": row["completed_at"],
"status": row["status"],
"duration_sec": duration_sec,
"pass_total": max_pass,
}
return {
"is_research": is_research,
"is_running": is_running,
"last_refresh": last_refresh,
"steps_definition": PIPELINE_STEPS,
"steps": steps,
}
@router.get("/{incident_id}/locations") @router.get("/{incident_id}/locations")
async def get_locations( async def get_locations(
incident_id: int, incident_id: int,

Datei anzeigen

@@ -0,0 +1,230 @@
"""Analysepipeline-Tracking: persistiert Pipeline-Schritte pro Refresh und sendet
Live-Status an die Frontend-Visualisierung.
Die Pipeline hat 9 Schritte und ist eine bewusst vereinfachte Außensicht der
internen Refresh-Pipeline (siehe orchestrator.py). Sie verschweigt Internas
(Modellnamen, Tools, Phasen, Multi-Pass-Labels) und beschreibt jeden Schritt in
verständlicher Sprache.
"""
from __future__ import annotations
import logging
from datetime import datetime
from typing import Optional
from config import TIMEZONE
logger = logging.getLogger("osint.pipeline")
# Single Source of Truth für die Pipeline-Definition.
# Reihenfolge bestimmt die Anzeige im Frontend.
PIPELINE_STEPS = [
{
"key": "sources_review",
"label": "Quellen sichten",
"icon": "search",
"tooltip": "Wir prüfen alle deine Nachrichtenquellen, ob sie aktuell erreichbar sind und was sie zu deiner Lage melden.",
},
{
"key": "collect",
"label": "Nachrichten sammeln",
"icon": "rss",
"tooltip": "Aus den passenden Quellen werden alle relevanten Meldungen eingesammelt - aus deinen RSS-Feeds, dem Web und optional Telegram-Kanälen.",
},
{
"key": "dedup",
"label": "Doppeltes filtern",
"icon": "copy-x",
"tooltip": "Mehrfach gemeldete Nachrichten werden zusammengefasst, damit nichts doppelt im Lagebild auftaucht.",
},
{
"key": "relevance",
"label": "Relevanz bewerten",
"icon": "scale",
"tooltip": "Jede Meldung wird darauf geprüft, ob sie wirklich zu deiner Lage passt. Themenfremdes wird aussortiert.",
},
{
"key": "geoparsing",
"label": "Orte erkennen",
"icon": "map-pin",
"tooltip": "Aus den Meldungen werden Ortsangaben erkannt und auf der Karte verortet.",
},
{
"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",
"icon": "check-circle",
"tooltip": "Eine letzte Kontrollprüfung am Ergebnis: Doppelte Fakten zusammenführen, Karten-Verortung prüfen, bevor du benachrichtigt wirst.",
},
{
"key": "notify",
"label": "Benachrichtigen",
"icon": "bell",
"tooltip": "Wenn etwas Wichtiges dabei war, gehen Benachrichtigungen raus, im Glockensymbol oben rechts und optional per E-Mail.",
},
]
VALID_KEYS = {s["key"] for s in PIPELINE_STEPS}
def _now_db() -> str:
"""Aktuelle Zeit im DB-Format (lokal)."""
return datetime.now(TIMEZONE).strftime("%Y-%m-%d %H:%M:%S")
async def _broadcast(ws_manager, incident_id: int, payload: dict,
visibility: str, created_by: Optional[int], tenant_id: Optional[int]):
"""Sendet ein pipeline_step-Event an verbundene Clients der Lage."""
if not ws_manager:
return
try:
await ws_manager.broadcast_for_incident(
{"type": "pipeline_step", "incident_id": incident_id, "data": payload},
visibility, created_by, tenant_id,
)
except Exception as e:
logger.warning(f"Pipeline-WS-Broadcast fehlgeschlagen: {e}")
async def start_step(db, ws_manager, *, refresh_log_id: int, incident_id: int,
step_key: str, pass_number: int = 1, tenant_id: Optional[int] = None,
visibility: str = "public", created_by: Optional[int] = None) -> Optional[int]:
"""Markiert einen Pipeline-Schritt als aktiv.
Returns die DB-ID der Step-Zeile (für späteres Update via complete_step), oder None bei Fehler.
"""
if step_key not in VALID_KEYS:
logger.warning(f"Unbekannter Pipeline-Schritt: {step_key}")
return None
try:
cursor = await db.execute(
"""INSERT INTO refresh_pipeline_steps
(refresh_log_id, incident_id, step_key, pass_number, started_at, status, tenant_id)
VALUES (?, ?, ?, ?, ?, 'active', ?)""",
(refresh_log_id, incident_id, step_key, pass_number, _now_db(), tenant_id),
)
await db.commit()
step_id = cursor.lastrowid
except Exception as e:
logger.warning(f"Pipeline start_step({step_key}) DB-Fehler: {e}")
step_id = None
await _broadcast(ws_manager, incident_id, {
"step_key": step_key,
"status": "active",
"pass_number": pass_number,
}, visibility, created_by, tenant_id)
return step_id
async def complete_step(db, ws_manager, *, step_id: Optional[int], refresh_log_id: int,
incident_id: int, step_key: str, pass_number: int = 1,
count_value: Optional[int] = None, count_secondary: Optional[int] = None,
tenant_id: Optional[int] = None, visibility: str = "public",
created_by: Optional[int] = None):
"""Markiert einen Pipeline-Schritt als abgeschlossen, mit Zahlen."""
if step_key not in VALID_KEYS:
return
try:
if step_id:
await db.execute(
"""UPDATE refresh_pipeline_steps
SET status = 'done', completed_at = ?, count_value = ?, count_secondary = ?
WHERE id = ?""",
(_now_db(), count_value, count_secondary, step_id),
)
else:
# Fallback wenn start_step keine ID lieferte
await db.execute(
"""INSERT INTO refresh_pipeline_steps
(refresh_log_id, incident_id, step_key, pass_number, started_at, completed_at,
status, count_value, count_secondary, tenant_id)
VALUES (?, ?, ?, ?, ?, ?, 'done', ?, ?, ?)""",
(refresh_log_id, incident_id, step_key, pass_number, _now_db(), _now_db(),
count_value, count_secondary, tenant_id),
)
await db.commit()
except Exception as e:
logger.warning(f"Pipeline complete_step({step_key}) DB-Fehler: {e}")
await _broadcast(ws_manager, incident_id, {
"step_key": step_key,
"status": "done",
"pass_number": pass_number,
"count_value": count_value,
"count_secondary": count_secondary,
}, visibility, created_by, tenant_id)
async def skip_step(db, ws_manager, *, refresh_log_id: int, incident_id: int,
step_key: str, pass_number: int = 1, tenant_id: Optional[int] = None,
visibility: str = "public", created_by: Optional[int] = None):
"""Markiert einen Schritt als übersprungen (z.B. Geoparsing ohne neue Artikel)."""
if step_key not in VALID_KEYS:
return
try:
await db.execute(
"""INSERT INTO refresh_pipeline_steps
(refresh_log_id, incident_id, step_key, pass_number, started_at, completed_at,
status, tenant_id)
VALUES (?, ?, ?, ?, ?, ?, 'skipped', ?)""",
(refresh_log_id, incident_id, step_key, pass_number, _now_db(), _now_db(), tenant_id),
)
await db.commit()
except Exception as e:
logger.warning(f"Pipeline skip_step({step_key}) DB-Fehler: {e}")
await _broadcast(ws_manager, incident_id, {
"step_key": step_key,
"status": "skipped",
"pass_number": pass_number,
}, visibility, created_by, tenant_id)
async def error_step(db, ws_manager, *, step_id: Optional[int], refresh_log_id: int,
incident_id: int, step_key: str, pass_number: int = 1,
tenant_id: Optional[int] = None, visibility: str = "public",
created_by: Optional[int] = None):
"""Markiert einen Schritt als fehlgeschlagen."""
if step_key not in VALID_KEYS:
return
try:
if step_id:
await db.execute(
"""UPDATE refresh_pipeline_steps
SET status = 'error', completed_at = ?
WHERE id = ?""",
(_now_db(), step_id),
)
else:
await db.execute(
"""INSERT INTO refresh_pipeline_steps
(refresh_log_id, incident_id, step_key, pass_number, started_at, completed_at,
status, tenant_id)
VALUES (?, ?, ?, ?, ?, ?, 'error', ?)""",
(refresh_log_id, incident_id, step_key, pass_number, _now_db(), _now_db(), tenant_id),
)
await db.commit()
except Exception as e:
logger.warning(f"Pipeline error_step({step_key}) DB-Fehler: {e}")
await _broadcast(ws_manager, incident_id, {
"step_key": step_key,
"status": "error",
"pass_number": pass_number,
}, visibility, created_by, tenant_id)

Datei anzeigen

@@ -5638,3 +5638,420 @@ body.tutorial-active .tutorial-cursor {
border-color: var(--accent); border-color: var(--accent);
box-shadow: 0 0 0 2px rgba(var(--accent-rgb, 59, 130, 246), 0.15); box-shadow: 0 0 0 2px rgba(var(--accent-rgb, 59, 130, 246), 0.15);
} }
/* === Analysepipeline (Visualisierung n8n-Stil) === */
.pipeline-card { padding: 0; overflow: hidden; }
.pipeline-card .card-header { padding: var(--sp-lg) var(--sp-xl); border-bottom: 1px solid var(--border); }
.pipeline-header-meta { font-size: 12px; color: var(--text-secondary); }
.pipeline-body {
position: relative;
padding: var(--sp-3xl) var(--sp-xl);
background-color: var(--bg-card);
background-image:
linear-gradient(var(--pipeline-circuit, rgba(150, 121, 26, 0.045)) 1px, transparent 1px),
linear-gradient(90deg, var(--pipeline-circuit, rgba(150, 121, 26, 0.045)) 1px, transparent 1px),
radial-gradient(circle at 30px 30px, var(--pipeline-circuit-dot, rgba(150, 121, 26, 0.10)) 1.5px, transparent 2px);
background-size: 60px 60px, 60px 60px, 60px 60px;
}
[data-theme="light"] .pipeline-body {
--pipeline-circuit: rgba(31, 51, 89, 0.05);
--pipeline-circuit-dot: rgba(31, 51, 89, 0.10);
}
.pipeline-stage {
position: relative;
overflow: visible;
display: flex;
justify-content: center;
}
.pipeline-track {
display: inline-flex;
flex-direction: column;
align-items: stretch;
gap: 0;
padding: var(--sp-md) 0;
}
.pipeline-row {
display: flex;
align-items: stretch;
gap: var(--sp-md);
flex-wrap: nowrap;
justify-content: flex-start;
}
.pipeline-row[data-direction="rtl"] {
flex-direction: row-reverse;
}
.pipeline-empty {
text-align: center;
color: var(--text-secondary);
padding: var(--sp-4xl) var(--sp-xl);
font-style: italic;
}
.pipeline-sidenote {
margin-top: var(--sp-xl);
padding: var(--sp-lg) var(--sp-xl);
border-left: 3px solid var(--accent);
background: var(--tint-accent-faint);
border-radius: 0 var(--radius-lg) var(--radius-lg) 0;
font-size: 13px;
color: var(--text-secondary);
max-width: 720px;
}
.pipeline-block {
position: relative;
flex: 0 0 168px;
min-height: 132px;
padding: var(--sp-lg) var(--sp-md);
background: var(--bg-elevated);
border: 1px solid var(--border);
border-radius: var(--radius-lg);
display: flex;
flex-direction: column;
align-items: center;
justify-content: flex-start;
text-align: center;
cursor: pointer;
transition: transform 0.2s ease, box-shadow 0.2s ease, border-color 0.2s ease;
outline: none;
}
.pipeline-block:hover { transform: translateY(-2px); border-color: var(--accent); }
.pipeline-block:focus-visible { box-shadow: 0 0 0 3px var(--tint-accent-strong); }
.pipeline-block-icon {
width: 36px;
height: 36px;
color: var(--text-secondary);
margin-bottom: var(--sp-sm);
transition: color 0.3s ease;
}
.pipeline-block-icon svg { width: 100%; height: 100%; }
.pipeline-block-title {
font-size: 13px;
font-weight: 600;
color: var(--text-primary);
margin-bottom: var(--sp-xs);
line-height: 1.2;
}
.pipeline-block-count {
font-size: 11px;
color: var(--text-secondary);
line-height: 1.3;
}
.pipeline-block-count small { display: block; opacity: 0.75; font-size: 10px; }
.pipeline-block-count .count-status { font-style: italic; opacity: 0.7; }
.pipeline-block-check {
position: absolute;
top: 6px;
right: 6px;
width: 18px;
height: 18px;
color: var(--success);
opacity: 0;
transform: scale(0.6);
transition: opacity 0.3s ease, transform 0.3s ease;
}
.pipeline-block-check svg { width: 100%; height: 100%; }
.pipeline-block.status-pending { opacity: 0.55; }
.pipeline-block.status-pending .pipeline-block-icon { color: var(--text-tertiary); }
.pipeline-block.status-active {
border-color: var(--accent);
box-shadow: var(--glow-accent-strong);
animation: pipelinePulse 1.6s ease-in-out infinite;
}
.pipeline-block.status-active .pipeline-block-icon { color: var(--accent); }
@keyframes pipelinePulse {
0%, 100% { box-shadow: 0 0 8px rgba(150, 121, 26, 0.35), 0 0 0 1px var(--accent); }
50% { box-shadow: 0 0 22px rgba(150, 121, 26, 0.65), 0 0 0 2px var(--accent); }
}
.pipeline-block.status-done {
border-color: var(--success);
background: linear-gradient(180deg, var(--bg-elevated) 0%, var(--tint-success) 100%);
}
.pipeline-block.status-done .pipeline-block-icon { color: var(--success); }
.pipeline-block.status-done .pipeline-block-check { opacity: 1; transform: scale(1); }
.pipeline-block.status-error {
border-color: var(--error);
background: linear-gradient(180deg, var(--bg-elevated) 0%, var(--tint-error) 100%);
}
.pipeline-block.status-error .pipeline-block-icon { color: var(--error); }
.pipeline-arrow {
flex: 0 0 28px;
align-self: center;
height: 2px;
position: relative;
background: var(--border);
}
.pipeline-arrow::after {
content: "";
position: absolute;
right: -4px;
top: 50%;
width: 0;
height: 0;
border-top: 4px solid transparent;
border-bottom: 4px solid transparent;
border-left: 6px solid var(--border);
transform: translateY(-50%);
}
.pipeline-arrow.is-flowing {
background: linear-gradient(90deg, var(--accent), var(--accent) 50%, transparent 50%, transparent);
background-size: 12px 100%;
animation: pipelineFlow 0.8s linear infinite;
}
.pipeline-arrow.is-flowing::after { border-left-color: var(--accent); }
@keyframes pipelineFlow {
from { background-position: 0 0; }
to { background-position: 12px 0; }
}
/* Pfeil in rtl-Reihe: Pfeilkopf nach links, Animation rückwärts */
.pipeline-row[data-direction="rtl"] .pipeline-arrow::after {
border-left: none;
border-right: 6px solid var(--border);
right: auto;
left: -4px;
}
.pipeline-row[data-direction="rtl"] .pipeline-arrow.is-flowing::after {
border-right-color: var(--accent);
border-left-color: transparent;
}
.pipeline-row[data-direction="rtl"] .pipeline-arrow.is-flowing {
animation: pipelineFlowReverse 0.8s linear infinite;
}
@keyframes pipelineFlowReverse {
from { background-position: 12px 0; }
to { background-position: 0 0; }
}
/* Reihenwechsel-Pfeil (kompakter ↓ direkt unter dem letzten Block) */
.pipeline-uturn {
display: flex;
gap: var(--sp-md);
align-items: stretch;
height: 32px;
width: 100%;
margin: var(--sp-xs) 0;
pointer-events: none;
}
.uturn-spacer { flex: 0 0 168px; }
.uturn-arrow {
flex: 0 0 168px;
display: flex;
justify-content: center;
align-items: stretch;
}
.uturn-arrow svg {
width: 24px;
height: 100%;
overflow: visible;
}
.pipeline-uturn-path,
.pipeline-uturn-head {
fill: none;
stroke: var(--border);
stroke-width: 2;
stroke-linecap: round;
stroke-linejoin: round;
}
.pipeline-uturn.is-flowing .pipeline-uturn-path {
stroke: var(--accent);
stroke-dasharray: 6 4;
animation: pipelineUturnDash 0.7s linear infinite;
}
.pipeline-uturn.is-flowing .pipeline-uturn-head { stroke: var(--accent); }
@keyframes pipelineUturnDash {
to { stroke-dashoffset: -20; }
}
.pipeline-loop {
position: absolute;
bottom: -10px;
right: -10px;
width: 26px;
height: 26px;
color: var(--accent);
background: var(--bg-card);
border-radius: 50%;
padding: 4px;
border: 1px solid var(--border);
opacity: 0.5;
transition: opacity 0.3s ease;
}
.pipeline-loop svg { width: 100%; height: 100%; }
.pipeline-stage.is-looping .pipeline-loop {
opacity: 1;
animation: pipelineLoop 1.2s ease-in-out;
}
@keyframes pipelineLoop {
0% { transform: rotate(0deg) scale(1); }
50% { transform: rotate(180deg) scale(1.3); }
100% { transform: rotate(360deg) scale(1); }
}
.pipeline-tooltip {
position: fixed;
background: var(--bg-card);
color: var(--text-primary);
border: 1px solid var(--accent);
padding: var(--sp-md) var(--sp-lg);
border-radius: var(--radius);
font-size: 12px;
line-height: 1.4;
width: 280px;
box-shadow: var(--shadow-md);
pointer-events: none;
opacity: 0;
transition: opacity 0.15s ease;
z-index: 9999;
}
.pipeline-tooltip.visible { opacity: 1; }
.pipeline-popup {
position: fixed;
inset: 0;
background: var(--backdrop);
display: flex;
align-items: center;
justify-content: center;
z-index: 9998;
}
.pipeline-popup-inner {
background: var(--bg-card);
border: 1px solid var(--accent);
border-radius: var(--radius-lg);
padding: var(--sp-3xl);
max-width: 480px;
width: 90%;
box-shadow: var(--shadow-lg);
position: relative;
}
.pipeline-popup-title {
font-family: var(--font-title);
font-size: 18px;
font-weight: 600;
color: var(--text-primary);
margin-bottom: var(--sp-lg);
}
.pipeline-popup-text { color: var(--text-secondary); line-height: 1.6; font-size: 14px; }
.pipeline-popup-close {
position: absolute;
top: 8px;
right: 8px;
width: 30px;
height: 30px;
border: none;
background: transparent;
color: var(--text-secondary);
font-size: 22px;
cursor: pointer;
border-radius: var(--radius);
}
.pipeline-popup-close:hover { background: var(--bg-hover); color: var(--text-primary); }
.pipeline-mini {
display: flex;
align-items: center;
justify-content: center;
flex-wrap: wrap;
gap: var(--sp-xs);
padding: var(--sp-md) 0;
margin-bottom: var(--sp-md);
}
.pipeline-mini-block {
width: 28px;
height: 28px;
padding: 5px;
border: 1px solid var(--border);
border-radius: 50%;
color: var(--text-tertiary);
display: inline-flex;
align-items: center;
justify-content: center;
transition: all 0.3s ease;
}
.pipeline-mini-block svg { width: 100%; height: 100%; }
.pipeline-mini-block.status-pending { opacity: 0.4; }
.pipeline-mini-block.status-active {
color: var(--accent);
border-color: var(--accent);
box-shadow: var(--glow-accent);
animation: pipelinePulse 1.6s ease-in-out infinite;
}
.pipeline-mini-block.status-done {
color: var(--success);
border-color: var(--success);
background: var(--tint-success);
}
.pipeline-mini-block.status-error {
color: var(--error);
border-color: var(--error);
background: var(--tint-error);
}
.pipeline-mini-sep {
width: 12px;
height: 1px;
background: var(--border);
}
@media (max-width: 900px) {
/* Snake auflösen, alle Reihen werden vertikal gestapelt */
.pipeline-row,
.pipeline-row[data-direction="rtl"] {
flex-direction: column;
align-items: stretch;
}
.pipeline-uturn { display: none; }
.pipeline-block { flex: 0 0 auto; width: 100%; min-height: auto; flex-direction: row; padding: var(--sp-md); text-align: left; gap: var(--sp-md); }
.pipeline-block-icon { width: 28px; height: 28px; margin-bottom: 0; flex-shrink: 0; }
.pipeline-block-title { margin-bottom: 2px; }
.pipeline-block-count { font-size: 11px; }
.pipeline-arrow {
flex: 0 0 18px;
width: 2px;
height: 18px;
margin: 0 auto;
align-self: center;
background: var(--border);
}
.pipeline-arrow::after,
.pipeline-row[data-direction="rtl"] .pipeline-arrow::after {
right: 50%;
left: auto;
top: auto;
bottom: -4px;
border-top: 6px solid var(--border);
border-bottom: none;
border-left: 4px solid transparent;
border-right: 4px solid transparent;
transform: translateX(50%);
}
.pipeline-arrow.is-flowing,
.pipeline-row[data-direction="rtl"] .pipeline-arrow.is-flowing {
background: linear-gradient(180deg, var(--accent), var(--accent) 50%, transparent 50%, transparent);
background-size: 100% 12px;
animation: pipelineFlowVertical 0.8s linear infinite;
}
.pipeline-arrow.is-flowing::after,
.pipeline-row[data-direction="rtl"] .pipeline-arrow.is-flowing::after {
border-top-color: var(--accent);
border-right-color: transparent;
border-left-color: transparent;
}
@keyframes pipelineFlowVertical {
from { background-position: 0 0; }
to { background-position: 0 12px; }
}
}
@media (prefers-reduced-motion: reduce) {
.pipeline-block,
.pipeline-mini-block { animation: none !important; }
.pipeline-arrow.is-flowing { animation: none !important; }
.pipeline-block.status-active { box-shadow: var(--glow-accent); }
.pipeline-stage.is-looping .pipeline-loop { animation: none !important; opacity: 1; }
}

Datei anzeigen

@@ -198,6 +198,7 @@
<button class="tab-btn" data-tab="timeline">Ereignis-Timeline</button> <button class="tab-btn" data-tab="timeline">Ereignis-Timeline</button>
<button class="tab-btn" data-tab="karte">Geografische Verteilung</button> <button class="tab-btn" data-tab="karte">Geografische Verteilung</button>
<button class="tab-btn" data-tab="faktencheck">Faktencheck</button> <button class="tab-btn" data-tab="faktencheck">Faktencheck</button>
<button class="tab-btn" data-tab="pipeline">Analysepipeline</button>
<button class="tab-btn" data-tab="quellen">Quellenübersicht</button> <button class="tab-btn" data-tab="quellen">Quellenübersicht</button>
</div> </div>
@@ -281,6 +282,23 @@
</div> </div>
</div> </div>
<div class="tab-panel" id="panel-pipeline">
<div class="card pipeline-card" id="pipeline-card">
<div class="card-header">
<div class="card-title">Analysepipeline</div>
<span class="pipeline-header-meta" id="pipeline-header-meta"></span>
</div>
<div class="pipeline-body">
<div class="pipeline-stage" id="pipeline-stage" aria-label="Analysepipeline-Visualisierung">
<div class="pipeline-empty" id="pipeline-empty">Noch nie aktualisiert. Starte den ersten Refresh.</div>
</div>
<aside class="pipeline-sidenote" id="pipeline-sidenote" hidden>
Recherche-Lagen werden mehrfach evaluiert, um das Bild Schritt für Schritt aufzubauen.
</aside>
</div>
</div>
</div>
<div class="tab-panel" id="panel-quellen"> <div class="tab-panel" id="panel-quellen">
<div class="card source-overview-card"> <div class="card source-overview-card">
<div class="card-header"> <div class="card-header">
@@ -628,6 +646,7 @@
<script src="/static/js/ws.js?v=20260316b"></script> <script src="/static/js/ws.js?v=20260316b"></script>
<script src="/static/js/components.js?v=20260427a"></script> <script src="/static/js/components.js?v=20260427a"></script>
<script src="/static/js/layout.js?v=20260316b"></script> <script src="/static/js/layout.js?v=20260316b"></script>
<script src="/static/js/pipeline.js?v=20260501a"></script>
<script src="/static/js/app.js?v=20260427c"></script> <script src="/static/js/app.js?v=20260427c"></script>
<script src="/static/js/cluster-data.js?v=20260322f"></script> <script src="/static/js/cluster-data.js?v=20260322f"></script>
<script src="/static/js/tutorial.js?v=20260316z"></script> <script src="/static/js/tutorial.js?v=20260316z"></script>
@@ -687,7 +706,8 @@
</div> </div>
<div class="progress-popup-body"> <div class="progress-popup-body">
<div class="progress-popup-pass" id="progress-popup-pass" style="display:none;"></div> <div class="progress-popup-pass" id="progress-popup-pass" style="display:none;"></div>
<div class="progress-checklist" id="progress-checklist"> <div class="pipeline-mini" id="progress-pipeline-mini" aria-label="Analyseschritte"></div>
<div class="progress-checklist" id="progress-checklist" style="display:none;">
<div class="progress-check-item" data-step="queued"> <div class="progress-check-item" data-step="queued">
<span class="progress-check-icon"></span> <span class="progress-check-icon"></span>
<span class="progress-check-label">In Warteschlange</span> <span class="progress-check-label">In Warteschlange</span>

Datei anzeigen

@@ -133,6 +133,10 @@ const API = {
return this._request('GET', `/incidents/${incidentId}/factchecks`); return this._request('GET', `/incidents/${incidentId}/factchecks`);
}, },
getPipeline(incidentId) {
return this._request('GET', `/incidents/${incidentId}/pipeline`);
},
getSnapshots(incidentId) { getSnapshots(incidentId) {
return this._request('GET', `/incidents/${incidentId}/snapshots`); return this._request('GET', `/incidents/${incidentId}/snapshots`);
}, },

Datei anzeigen

@@ -833,6 +833,11 @@ const App = {
this.renderIncidentDetail(incident, articles, factchecks, snapshots, locations, categoryLabels); this.renderIncidentDetail(incident, articles, factchecks, snapshots, locations, categoryLabels);
// Pipeline an die geladene Lage binden (laedt /api/incidents/{id}/pipeline)
if (typeof Pipeline !== 'undefined' && Pipeline.bindToIncident) {
Pipeline.bindToIncident(id).catch(err => console.warn('pipeline-bind:', err));
}
// Quellenuebersicht aus Aggregat-Endpunkt (alle Quellen, nicht nur erste Seite) // Quellenuebersicht aus Aggregat-Endpunkt (alle Quellen, nicht nur erste Seite)
this._loadSourcesSummary(id).catch(err => console.warn('sources-summary:', err)); this._loadSourcesSummary(id).catch(err => console.warn('sources-summary:', err));

Datei anzeigen

@@ -3,7 +3,7 @@
* Nur ein Tab-Panel gleichzeitig sichtbar, pro Lage gemerkt in localStorage. * Nur ein Tab-Panel gleichzeitig sichtbar, pro Lage gemerkt in localStorage.
*/ */
const LayoutManager = { const LayoutManager = {
TAB_ORDER: ['zusammenfassung', 'lagebild', 'timeline', 'karte', 'faktencheck', 'quellen'], TAB_ORDER: ['zusammenfassung', 'lagebild', 'timeline', 'karte', 'faktencheck', 'pipeline', 'quellen'],
_currentIncidentId: null, _currentIncidentId: null,
_initialized: false, _initialized: false,

515
src/static/js/pipeline.js Normale Datei
Datei anzeigen

@@ -0,0 +1,515 @@
/**
* Pipeline-Modul: Visualisierung der Analysepipeline pro Lage.
*
* - Liest Pipeline-Definition + letzten Refresh-Stand vom Backend
* (GET /api/incidents/{id}/pipeline)
* - Hört auf WebSocket-Events vom Typ "pipeline_step" und animiert Live
* den jeweils aktiven Schritt
* - Bei Lagen-Wechsel wird die Visualisierung an die neue Lage neu gebunden
*
* Stilkonzept:
* - Blöcke = Karten mit Icon + Titel + Zahl
* - Verbindungspfeile als SVG zwischen den Blöcken
* - Aktiver Block: pulsierender Glow (CSS-Klasse .is-active)
* - Fertiger Block: Häkchen + dezente Outline (.is-done)
* - Übersprungener Block: ausgeblendet (laut Anforderung)
* - Multi-Pass (Research): am letzten Block leuchtet ein Schleifen-Pfeil auf
*/
const Pipeline = {
_incidentId: null,
_definition: null, // PIPELINE_STEPS vom Backend
_stateByKey: {}, // step_key -> {status, count_value, count_secondary, pass_number}
_isResearch: false,
_passTotal: 1,
_lastRefreshHeader: null,
_hoverTooltipEl: null,
_isLoading: false,
_wsBound: false,
_icons: {
search: '<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><circle cx="11" cy="11" r="7"/><path d="M21 21l-4.3-4.3"/></svg>',
rss: '<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M4 11a9 9 0 0 1 9 9"/><path d="M4 4a16 16 0 0 1 16 16"/><circle cx="5" cy="19" r="1.5"/></svg>',
'copy-x': '<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><rect x="3" y="3" width="13" height="13" rx="2"/><path d="M8 21h11a2 2 0 0 0 2-2V8"/><path d="M11 11l4 4M15 11l-4 4"/></svg>',
scale: '<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M12 3v18"/><path d="M5 8h14"/><path d="M5 8l-3 7h6z"/><path d="M19 8l-3 7h6z"/></svg>',
'map-pin': '<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M12 22s7-7 7-13a7 7 0 0 0-14 0c0 6 7 13 7 13z"/><circle cx="12" cy="9" r="2.5"/></svg>',
'file-text': '<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M14 3H6a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V9z"/><path d="M14 3v6h6"/><path d="M8 13h8M8 17h8M8 9h2"/></svg>',
shield: '<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M12 2l8 4v6c0 5-3.5 9-8 10-4.5-1-8-5-8-10V6z"/><path d="M9 12l2 2 4-4"/></svg>',
'check-circle': '<svg 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="M8 12l3 3 5-6"/></svg>',
bell: '<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M6 8a6 6 0 0 1 12 0c0 7 3 9 3 9H3s3-2 3-9"/><path d="M10 21a2 2 0 0 0 4 0"/></svg>',
},
/** Wird einmal beim Seitenstart aufgerufen, hängt sich an WebSocket. */
init() {
if (this._wsBound) return;
if (typeof WS !== 'undefined' && WS.on) {
WS.on('pipeline_step', (msg) => this._onWsStep(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
if (!this._hoverTooltipEl) {
const t = document.createElement('div');
t.className = 'pipeline-tooltip';
t.setAttribute('role', 'tooltip');
document.body.appendChild(t);
this._hoverTooltipEl = t;
}
// Klick auf Body schliesst Tooltip-Popup
document.addEventListener('click', (e) => {
if (!e.target.closest('.pipeline-block') && !e.target.closest('.pipeline-popup')) {
this._closePopup();
}
});
},
/** Bindet die Pipeline an eine Lage. Lädt Daten und rendert. */
async bindToIncident(incidentId) {
this._incidentId = incidentId;
this._stateByKey = {};
this._isResearch = false;
this._passTotal = 1;
this._lastRefreshHeader = null;
this._renderEmpty('Lade...');
if (incidentId == null) return;
this._isLoading = true;
try {
const data = await API.getPipeline(incidentId);
// Lagen-Wechsel waehrend Request: alte Antwort verwerfen
if (this._incidentId !== incidentId) return;
this._definition = data.steps_definition || [];
this._isResearch = !!data.is_research;
this._lastRefreshHeader = data.last_refresh || null;
this._passTotal = (data.last_refresh && data.last_refresh.pass_total) || 1;
// Letzten Stand pro step_key konsolidieren (bei Multi-Pass: letzter Pass-Eintrag gewinnt)
(data.steps || []).forEach(s => {
const key = s.step_key;
const prev = this._stateByKey[key];
if (!prev || (s.pass_number || 1) >= (prev.pass_number || 1)) {
this._stateByKey[key] = {
status: s.status,
count_value: s.count_value,
count_secondary: s.count_secondary,
pass_number: s.pass_number || 1,
};
}
});
this._render();
this._renderMini();
} catch (e) {
console.warn('Pipeline laden fehlgeschlagen:', e);
this._renderEmpty('Pipeline-Daten konnten nicht geladen werden.');
} finally {
this._isLoading = false;
}
},
/** WebSocket: einzelner Pipeline-Schritt-Status. */
_onWsStep(msg) {
if (!msg || !msg.data) return;
if (this._incidentId == null || msg.incident_id !== this._incidentId) return;
const d = msg.data;
const key = d.step_key;
if (!key) return;
// State aktualisieren, letzter Pass gewinnt
const prev = this._stateByKey[key];
const passNr = d.pass_number || 1;
if (!prev || passNr >= (prev.pass_number || 1)) {
this._stateByKey[key] = {
status: d.status,
count_value: d.count_value !== undefined ? d.count_value : (prev ? prev.count_value : null),
count_secondary: d.count_secondary !== undefined ? d.count_secondary : (prev ? prev.count_secondary : null),
pass_number: passNr,
};
}
// Multi-Pass-Erkennung: pass_number > _passTotal -> erweitern + Loop-Animation triggern
if (passNr > this._passTotal) {
this._passTotal = passNr;
// Schleifen-Pfeil aufflackern
const stage = document.getElementById('pipeline-stage');
if (stage) {
stage.classList.add('is-looping');
setTimeout(() => stage.classList.remove('is-looping'), 1500);
}
}
// 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 && 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';
}
});
}
this._patchBlock(key);
this._patchMiniBlock(key);
},
_onRefreshDone(msg) {
if (this._incidentId == null || (msg && msg.incident_id !== this._incidentId)) return;
// Daten frisch nachladen, damit Header (Dauer) und finale Zahlen passen
setTimeout(() => {
if (this._incidentId != null) this.bindToIncident(this._incidentId);
}, 600);
},
/** Vollbild-Pipeline (Tab "Analysepipeline") als 3x3-Snake rendern. */
_render() {
const stage = document.getElementById('pipeline-stage');
const meta = document.getElementById('pipeline-header-meta');
const sidenote = document.getElementById('pipeline-sidenote');
if (!stage) return;
if (meta) meta.textContent = this._formatHeader();
if (sidenote) sidenote.hidden = !this._isResearch;
// Brandneue Lage ohne Refresh
if (!this._lastRefreshHeader) {
this._renderEmpty('Noch nie aktualisiert. Starte den ersten Refresh.');
return;
}
// Sichtbare Blöcke (skipped komplett ausgeblendet, Anforderung 4b)
const visible = (this._definition || []).filter(s => {
const st = this._stateByKey[s.key];
return !st || st.status !== 'skipped';
});
// In Dreier-Reihen aufteilen, Snake-Direction abwechselnd
const ROW_SIZE = 3;
const rows = [];
for (let i = 0; i < visible.length; i += ROW_SIZE) {
rows.push({
steps: visible.slice(i, i + ROW_SIZE),
direction: (rows.length % 2 === 0) ? 'ltr' : 'rtl',
});
}
let trackHtml = '';
rows.forEach((row, rowIdx) => {
const isLastRow = rowIdx === rows.length - 1;
let rowHtml = `<div class="pipeline-row" data-direction="${row.direction}">`;
row.steps.forEach((s, i) => {
const isLastBlockOverall = isLastRow && i === row.steps.length - 1;
rowHtml += this._renderBlock(s, isLastBlockOverall);
// Inner-Pfeil zwischen Blöcken einer Reihe (nicht hinter dem letzten)
if (i < row.steps.length - 1) {
rowHtml += `<div class="pipeline-arrow" data-from="${s.key}" data-arrow-type="inner"></div>`;
}
});
rowHtml += '</div>';
trackHtml += rowHtml;
// U-Turn-Pfeil zwischen dieser und der nächsten Reihe
if (!isLastRow) {
const lastInRow = row.steps[row.steps.length - 1];
const side = row.direction === 'ltr' ? 'right' : 'left';
trackHtml += this._renderUturn(side, lastInRow.key);
}
});
stage.innerHTML = `<div class="pipeline-track">${trackHtml}</div>`;
this._bindBlockEvents(stage);
},
_renderBlock(stepDef, isLastOverall) {
const st = this._stateByKey[stepDef.key];
const status = (st && st.status) || 'pending';
const cv = st ? st.count_value : null;
const cs = st ? st.count_secondary : null;
const loopMark = isLastOverall && this._isResearch
? `<div class="pipeline-loop" title="Mehrfach-Durchlauf"><svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M21 12a9 9 0 1 1-3-6.7"/><path d="M21 4v5h-5"/></svg></div>`
: '';
const icon = this._icons[stepDef.icon] || this._icons.search;
return `
<div class="pipeline-block status-${status}" data-step-key="${stepDef.key}" tabindex="0" aria-label="${this._escape(stepDef.label)}">
<div class="pipeline-block-icon">${icon}</div>
<div class="pipeline-block-title">${this._escape(stepDef.label)}</div>
<div class="pipeline-block-count">${this._formatCount(stepDef.key, cv, cs, status)}</div>
<div class="pipeline-block-check" aria-hidden="true">
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="3" stroke-linecap="round" stroke-linejoin="round"><path d="M5 12l5 5 9-11"/></svg>
</div>
${loopMark}
</div>
`;
},
/** Kompakter Reihenwechsel-Pfeil: kurzer ↓ direkt unter dem letzten Block der oberen Reihe. */
_renderUturn(side, fromKey) {
const arrowSvg = `
<div class="uturn-arrow">
<svg viewBox="0 0 24 32" preserveAspectRatio="xMidYMid meet">
<path d="M 12 2 L 12 24" class="pipeline-uturn-path"/>
<polyline points="6,18 12,24 18,18" class="pipeline-uturn-head"/>
</svg>
</div>`;
const spacers = '<span class="uturn-spacer"></span><span class="uturn-spacer"></span>';
const inner = side === 'right' ? (spacers + arrowSvg) : (arrowSvg + spacers);
return `
<div class="pipeline-uturn" data-side="${side}" data-from="${fromKey}" data-arrow-type="uturn" aria-hidden="true">
${inner}
</div>
`;
},
/** Einzelnen Block neu zeichnen (ohne kompletten Re-Render). */
_patchBlock(stepKey) {
const stage = document.getElementById('pipeline-stage');
if (!stage) return;
const def = (this._definition || []).find(s => s.key === stepKey);
if (!def) return;
const st = this._stateByKey[stepKey];
const status = (st && st.status) || 'pending';
// Übersprungene komplett ausblenden -> kompletter Re-Render
if (status === 'skipped') {
this._render();
return;
}
const block = stage.querySelector(`.pipeline-block[data-step-key="${stepKey}"]`);
if (!block) {
// Block fehlt im DOM (z.B. vorher skipped): kompletter Re-Render
this._render();
return;
}
block.className = `pipeline-block status-${status}`;
block.setAttribute('tabindex', '0');
const cv = st ? st.count_value : null;
const cs = st ? st.count_secondary : null;
const cEl = block.querySelector('.pipeline-block-count');
if (cEl) cEl.innerHTML = this._formatCount(stepKey, cv, cs, status);
// Aktiven Pfeil/U-Turn zum nächsten Block markieren (alles mit data-from)
stage.querySelectorAll('.pipeline-arrow, .pipeline-uturn')
.forEach(a => a.classList.remove('is-flowing'));
if (status === 'done') {
const next = stage.querySelector(`[data-from="${stepKey}"]`);
if (next) next.classList.add('is-flowing');
}
},
_bindBlockEvents(stage) {
stage.querySelectorAll('.pipeline-block').forEach(block => {
const key = block.getAttribute('data-step-key');
const def = (this._definition || []).find(s => s.key === key);
if (!def) return;
block.addEventListener('mouseenter', (e) => this._showTooltip(e, def));
block.addEventListener('mouseleave', () => this._hideTooltip());
block.addEventListener('focus', (e) => this._showTooltip(e, def));
block.addEventListener('blur', () => this._hideTooltip());
block.addEventListener('click', (e) => {
e.stopPropagation();
this._openPopup(def);
});
block.addEventListener('keydown', (e) => {
if (e.key === 'Enter' || e.key === ' ') {
e.preventDefault();
this._openPopup(def);
}
});
});
},
_showTooltip(evt, def) {
if (!this._hoverTooltipEl) return;
this._hoverTooltipEl.textContent = def.tooltip || def.label;
this._hoverTooltipEl.classList.add('visible');
const rect = evt.currentTarget.getBoundingClientRect();
const tipW = 280;
let left = rect.left + rect.width / 2 - tipW / 2;
if (left < 8) left = 8;
if (left + tipW > window.innerWidth - 8) left = window.innerWidth - tipW - 8;
this._hoverTooltipEl.style.left = left + 'px';
this._hoverTooltipEl.style.top = (rect.top - 8) + 'px';
this._hoverTooltipEl.style.transform = 'translateY(-100%)';
},
_hideTooltip() {
if (!this._hoverTooltipEl) return;
this._hoverTooltipEl.classList.remove('visible');
},
_openPopup(def) {
this._closePopup();
const popup = document.createElement('div');
popup.className = 'pipeline-popup';
popup.setAttribute('role', 'dialog');
popup.innerHTML = `
<div class="pipeline-popup-inner">
<div class="pipeline-popup-title">${this._escape(def.label)}</div>
<div class="pipeline-popup-text">${this._escape(def.tooltip || '')}</div>
<button class="pipeline-popup-close" aria-label="Schliessen">&times;</button>
</div>
`;
popup.querySelector('.pipeline-popup-close').addEventListener('click', () => this._closePopup());
document.body.appendChild(popup);
// ESC schliesst
this._escListener = (e) => { if (e.key === 'Escape') this._closePopup(); };
document.addEventListener('keydown', this._escListener);
},
_closePopup() {
const existing = document.querySelector('.pipeline-popup');
if (existing) existing.remove();
if (this._escListener) {
document.removeEventListener('keydown', this._escListener);
this._escListener = null;
}
},
/** Mini-Variante (Refresh-Popup): Icons + Status, keine Zahlen, keine Tooltips. */
_renderMini() {
const mini = document.getElementById('progress-pipeline-mini');
if (!mini) return;
if (!this._definition || !this._definition.length) {
mini.innerHTML = '';
return;
}
const visible = this._definition.filter(s => {
const st = this._stateByKey[s.key];
return !st || st.status !== 'skipped';
});
const html = visible.map((s, i) => {
const st = this._stateByKey[s.key];
const status = (st && st.status) || 'pending';
const icon = this._icons[s.icon] || this._icons.search;
const sep = (i < visible.length - 1) ? '<span class="pipeline-mini-sep" aria-hidden="true"></span>' : '';
return `<span class="pipeline-mini-block status-${status}" data-step-key="${s.key}" title="${this._escape(s.label)}">${icon}</span>${sep}`;
}).join('');
mini.innerHTML = html;
},
_patchMiniBlock(stepKey) {
const mini = document.getElementById('progress-pipeline-mini');
if (!mini) return;
const st = this._stateByKey[stepKey];
const status = (st && st.status) || 'pending';
if (status === 'skipped') {
this._renderMini();
return;
}
const el = mini.querySelector(`.pipeline-mini-block[data-step-key="${stepKey}"]`);
if (!el) {
this._renderMini();
return;
}
el.className = `pipeline-mini-block status-${status}`;
},
_renderEmpty(msg) {
const stage = document.getElementById('pipeline-stage');
const meta = document.getElementById('pipeline-header-meta');
const sidenote = document.getElementById('pipeline-sidenote');
if (meta) meta.textContent = '';
if (sidenote) sidenote.hidden = true;
if (stage) stage.innerHTML = `<div class="pipeline-empty">${msg}</div>`;
// Mini im Refresh-Popup zuruecksetzen
const mini = document.getElementById('progress-pipeline-mini');
if (mini) mini.innerHTML = '';
},
_formatHeader() {
const r = this._lastRefreshHeader;
if (!r) return '';
let parts = [];
if (r.started_at) {
const rel = this._relativeTime(r.started_at);
parts.push(rel ? `Letzter Refresh: ${rel}` : `Letzter Refresh: ${r.started_at}`);
}
if (r.duration_sec != null) {
parts.push(`Dauer: ${r.duration_sec} s`);
}
if (r.status === 'running') {
parts = ['Aktualisierung läuft...'];
} else if (r.status === 'cancelled') {
parts.push('abgebrochen');
} else if (r.status === 'error') {
parts.push('mit Fehler beendet');
}
return parts.join(' · ');
},
_relativeTime(dbStr) {
try {
// dbStr ist lokal "YYYY-MM-DD HH:MM:SS"
const d = new Date(dbStr.replace(' ', 'T'));
if (isNaN(d.getTime())) return '';
const diffMs = Date.now() - d.getTime();
const min = Math.floor(diffMs / 60000);
if (min < 1) return 'gerade eben';
if (min < 60) return `vor ${min} Min`;
const h = Math.floor(min / 60);
if (h < 24) return `vor ${h} Std`;
const days = Math.floor(h / 24);
return `vor ${days} Tag${days === 1 ? '' : 'en'}`;
} catch (e) {
return '';
}
},
_formatCount(stepKey, cv, cs, status) {
// Qualitaetscheck: KEINE Zahlen, nur Status (Anforderung 3 vom User)
if (stepKey === 'qc' || stepKey === 'summary') {
if (status === 'done') return '<span class="count-status">erledigt</span>';
if (status === 'active') return '<span class="count-status">läuft...</span>';
if (status === 'error') return '<span class="count-status">Fehler</span>';
return '<span class="count-status">-</span>';
}
if (status === 'pending') return '<span class="count-status">-</span>';
if (status === 'active') return '<span class="count-status">läuft...</span>';
if (status === 'error') return '<span class="count-status">Fehler</span>';
if (cv == null) return '<span class="count-status">-</span>';
switch (stepKey) {
case 'sources_review':
return `${cv} Quellen geprüft`;
case 'collect':
return cs != null
? `${cv} Meldungen<small> aus ${cs} Quellen</small>`
: `${cv} Meldungen`;
case 'dedup':
return cs != null
? `${cv} Duplikate<small> (${cs} verbleiben)</small>`
: `${cv} Duplikate`;
case 'relevance':
return cs != null && cs > 0
? `${cv} relevant<small> von ${cs}</small>`
: `${cv} relevant`;
case 'geoparsing':
return cs != null
? `${cv} Orte<small> aus ${cs} Meldungen</small>`
: `${cv} Orte erkannt`;
case 'factcheck':
return cs != null
? `${cv} neue Fakten<small> (${cs} gesamt)</small>`
: `${cv} Fakten geprüft`;
case 'notify':
return cv === 0 ? 'keine versendet' : `${cv} Hinweis${cv === 1 ? '' : 'e'} versendet`;
default:
return `${cv}`;
}
},
_escape(s) {
if (s == null) return '';
return String(s).replace(/[&<>"']/g, c => ({
'&': '&amp;', '<': '&lt;', '>': '&gt;', '"': '&quot;', "'": '&#39;'
}[c]));
},
};
document.addEventListener('DOMContentLoaded', () => Pipeline.init());