Kartenfeature: Geoparsing + Leaflet-Karte im Dashboard

- Neues Geoparsing-Modul (spaCy NER + geonamescache/Nominatim)
- article_locations-Tabelle mit Migration
- Pipeline-Integration nach Artikel-Speicherung
- API-Endpunkt GET /incidents/{id}/locations
- Leaflet.js + MarkerCluster im Dashboard-Grid
- Theme-aware Kartenkacheln (CartoDB dark / OSM light)
- Gold-Akzent MarkerCluster, Popup mit Artikelliste

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Dieser Commit ist enthalten in:
claude-dev
2026-03-04 22:04:07 +01:00
Ursprung 23ac6d6fd7
Commit 4bfc626067
11 geänderte Dateien mit 746 neuen und 10 gelöschten Zeilen

287
src/agents/geoparsing.py Normale Datei
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@@ -0,0 +1,287 @@
"""Geoparsing-Modul: NER-basierte Ortsextraktion und Geocoding fuer Artikel."""
import asyncio
import logging
import re
from typing import Optional
logger = logging.getLogger("osint.geoparsing")
# Lazy-loaded spaCy-Modelle (erst beim ersten Aufruf geladen)
_nlp_de = None
_nlp_en = None
# Stopwords: Entitaeten die von spaCy faelschlicherweise als Orte erkannt werden
LOCATION_STOPWORDS = {
"EU", "UN", "NATO", "WHO", "OSZE", "OPEC", "G7", "G20", "BRICS",
"Nato", "Eu", "Un", "Onu",
"Bundesregierung", "Bundestag", "Bundesrat", "Bundeskanzler",
"Kreml", "Weisses Haus", "White House", "Pentagon", "Elysee",
"Twitter", "Facebook", "Telegram", "Signal", "WhatsApp",
"Reuters", "AP", "AFP", "DPA", "dpa",
"Internet", "Online", "Web",
}
# Maximale Textlaenge fuer NER-Verarbeitung
MAX_TEXT_LENGTH = 10000
def _load_spacy_model(lang: str):
"""Laedt ein spaCy-Modell lazy (nur beim ersten Aufruf)."""
global _nlp_de, _nlp_en
try:
import spacy
except ImportError:
logger.error("spaCy nicht installiert - pip install spacy")
return None
if lang == "de" and _nlp_de is None:
try:
_nlp_de = spacy.load("de_core_news_sm", disable=["parser", "lemmatizer", "textcat"])
logger.info("spaCy-Modell de_core_news_sm geladen")
except OSError:
logger.warning("spaCy-Modell de_core_news_sm nicht gefunden - python -m spacy download de_core_news_sm")
return None
elif lang == "en" and _nlp_en is None:
try:
_nlp_en = spacy.load("en_core_web_sm", disable=["parser", "lemmatizer", "textcat"])
logger.info("spaCy-Modell en_core_web_sm geladen")
except OSError:
logger.warning("spaCy-Modell en_core_web_sm nicht gefunden - python -m spacy download en_core_web_sm")
return None
return _nlp_de if lang == "de" else _nlp_en
def _extract_locations_from_text(text: str, language: str = "de") -> list[dict]:
"""Extrahiert Ortsnamen aus Text via spaCy NER.
Returns:
Liste von dicts: [{name: str, source_text: str}]
"""
if not text:
return []
text = text[:MAX_TEXT_LENGTH]
nlp = _load_spacy_model(language)
if nlp is None:
# Fallback: anderes Modell versuchen
fallback = "en" if language == "de" else "de"
nlp = _load_spacy_model(fallback)
if nlp is None:
return []
doc = nlp(text)
locations = []
seen = set()
for ent in doc.ents:
if ent.label_ in ("LOC", "GPE"):
name = ent.text.strip()
# Filter: zu kurz, Stopword, oder nur Zahlen/Sonderzeichen
if len(name) < 2:
continue
if name in LOCATION_STOPWORDS:
continue
if re.match(r'^[\d\W]+$', name):
continue
name_lower = name.lower()
if name_lower not in seen:
seen.add(name_lower)
# Kontext: 50 Zeichen um die Entitaet herum
start = max(0, ent.start_char - 25)
end = min(len(text), ent.end_char + 25)
source_text = text[start:end].strip()
locations.append({"name": name, "source_text": source_text})
return locations
# Geocoding-Cache (in-memory, lebt solange der Prozess laeuft)
_geocode_cache: dict[str, Optional[dict]] = {}
# geonamescache-Instanz (lazy)
_gc = None
def _get_geonamescache():
"""Laedt geonamescache lazy."""
global _gc
if _gc is None:
try:
import geonamescache
_gc = geonamescache.GeonamesCache()
logger.info("geonamescache geladen")
except ImportError:
logger.error("geonamescache nicht installiert - pip install geonamescache")
return None
return _gc
def _geocode_location(name: str) -> Optional[dict]:
"""Geocoded einen Ortsnamen. Offline via geonamescache, Fallback Nominatim.
Returns:
dict mit {lat, lon, country_code, normalized_name, confidence} oder None
"""
name_lower = name.lower().strip()
if name_lower in _geocode_cache:
return _geocode_cache[name_lower]
result = _geocode_offline(name)
if result is None:
result = _geocode_nominatim(name)
_geocode_cache[name_lower] = result
return result
def _geocode_offline(name: str) -> Optional[dict]:
"""Versucht Geocoding ueber geonamescache (offline)."""
gc = _get_geonamescache()
if gc is None:
return None
name_lower = name.lower().strip()
# 1. Direkte Suche in Staedten
cities = gc.get_cities()
matches = []
for gid, city in cities.items():
city_name = city.get("name", "")
alt_names = city.get("alternatenames", "")
if city_name.lower() == name_lower:
matches.append(city)
elif name_lower in [n.strip().lower() for n in alt_names.split(",") if n.strip()]:
matches.append(city)
if matches:
# Disambiguierung: groesste Stadt gewinnt
best = max(matches, key=lambda c: c.get("population", 0))
return {
"lat": float(best["latitude"]),
"lon": float(best["longitude"]),
"country_code": best.get("countrycode", ""),
"normalized_name": best["name"],
"confidence": min(1.0, 0.6 + (best.get("population", 0) / 10_000_000)),
}
# 2. Laendersuche
countries = gc.get_countries()
for code, country in countries.items():
if country.get("name", "").lower() == name_lower:
# Hauptstadt-Koordinaten als Fallback
capital = country.get("capital", "")
if capital:
cap_result = _geocode_offline(capital)
if cap_result:
cap_result["normalized_name"] = country["name"]
cap_result["confidence"] = 0.5 # Land, nicht Stadt
return cap_result
return None
def _geocode_nominatim(name: str) -> Optional[dict]:
"""Fallback-Geocoding ueber Nominatim (1 Request/Sekunde)."""
try:
from geopy.geocoders import Nominatim
from geopy.exc import GeocoderTimedOut, GeocoderServiceError
except ImportError:
return None
try:
geocoder = Nominatim(user_agent="aegissight-monitor/1.0", timeout=5)
location = geocoder.geocode(name, language="de", exactly_one=True)
if location:
# Country-Code aus Address extrahieren falls verfuegbar
raw = location.raw or {}
country_code = ""
if "address" in raw:
country_code = raw["address"].get("country_code", "").upper()
return {
"lat": float(location.latitude),
"lon": float(location.longitude),
"country_code": country_code,
"normalized_name": location.address.split(",")[0] if location.address else name,
"confidence": 0.4, # Nominatim-Ergebnis = niedrigere Konfidenz
}
except (GeocoderTimedOut, GeocoderServiceError) as e:
logger.debug(f"Nominatim-Fehler fuer '{name}': {e}")
except Exception as e:
logger.debug(f"Geocoding-Fehler fuer '{name}': {e}")
return None
async def geoparse_articles(articles: list[dict]) -> dict[int, list[dict]]:
"""Geoparsing fuer eine Liste von Artikeln.
Args:
articles: Liste von Artikel-Dicts (mit id, content_de, content_original, language, headline, headline_de)
Returns:
dict[article_id -> list[{location_name, location_name_normalized, country_code, lat, lon, confidence, source_text}]]
"""
if not articles:
return {}
result = {}
for article in articles:
article_id = article.get("id")
if not article_id:
continue
language = article.get("language", "de")
# Text zusammenbauen: Headline + Content
text_parts = []
if language == "de":
if article.get("headline_de"):
text_parts.append(article["headline_de"])
elif article.get("headline"):
text_parts.append(article["headline"])
if article.get("content_de"):
text_parts.append(article["content_de"])
elif article.get("content_original"):
text_parts.append(article["content_original"])
else:
if article.get("headline"):
text_parts.append(article["headline"])
if article.get("content_original"):
text_parts.append(article["content_original"])
text = "\n".join(text_parts)
if not text.strip():
continue
# NER-Extraktion (CPU-bound, in Thread ausfuehren)
locations_raw = await asyncio.to_thread(
_extract_locations_from_text, text, language
)
if not locations_raw:
continue
# Geocoding (enthaelt potentiell Netzwerk-Calls)
locations = []
for loc in locations_raw:
geo = await asyncio.to_thread(_geocode_location, loc["name"])
if geo:
locations.append({
"location_name": loc["name"],
"location_name_normalized": geo["normalized_name"],
"country_code": geo["country_code"],
"lat": geo["lat"],
"lon": geo["lon"],
"confidence": geo["confidence"],
"source_text": loc.get("source_text", ""),
})
if locations:
result[article_id] = locations
return result

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@@ -708,6 +708,31 @@ class AgentOrchestrator:
await db.commit()
# Geoparsing: Orte aus neuen Artikeln extrahieren und speichern
if new_articles_for_analysis:
try:
from agents.geoparsing import geoparse_articles
logger.info(f"Geoparsing fuer {len(new_articles_for_analysis)} neue Artikel...")
geo_results = await geoparse_articles(new_articles_for_analysis)
geo_count = 0
for art_id, locations in geo_results.items():
for loc in locations:
await db.execute(
"""INSERT INTO article_locations
(article_id, incident_id, location_name, location_name_normalized,
country_code, latitude, longitude, confidence, source_text, tenant_id)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)""",
(art_id, incident_id, loc["location_name"], loc["location_name_normalized"],
loc["country_code"], loc["lat"], loc["lon"], loc["confidence"],
loc.get("source_text", ""), tenant_id),
)
geo_count += 1
if geo_count > 0:
await db.commit()
logger.info(f"Geoparsing: {geo_count} Orte aus {len(geo_results)} Artikeln gespeichert")
except Exception as e:
logger.warning(f"Geoparsing fehlgeschlagen (Pipeline laeuft weiter): {e}")
# Quellen-Statistiken aktualisieren
if new_count > 0:
try:

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@@ -167,6 +167,22 @@ CREATE TABLE IF NOT EXISTS incident_subscriptions (
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
UNIQUE(user_id, incident_id)
);
CREATE TABLE IF NOT EXISTS article_locations (
id INTEGER PRIMARY KEY AUTOINCREMENT,
article_id INTEGER REFERENCES articles(id) ON DELETE CASCADE,
incident_id INTEGER REFERENCES incidents(id) ON DELETE CASCADE,
location_name TEXT NOT NULL,
location_name_normalized TEXT,
country_code TEXT,
latitude REAL NOT NULL,
longitude REAL NOT NULL,
confidence REAL DEFAULT 0.0,
source_text TEXT,
tenant_id INTEGER REFERENCES organizations(id)
);
CREATE INDEX IF NOT EXISTS idx_article_locations_incident ON article_locations(incident_id);
CREATE INDEX IF NOT EXISTS idx_article_locations_article ON article_locations(article_id);
"""
@@ -366,6 +382,29 @@ async def init_db():
except Exception:
pass
# Migration: article_locations-Tabelle (fuer bestehende DBs)
cursor = await db.execute("SELECT name FROM sqlite_master WHERE type='table' AND name='article_locations'")
if not await cursor.fetchone():
await db.executescript("""
CREATE TABLE IF NOT EXISTS article_locations (
id INTEGER PRIMARY KEY AUTOINCREMENT,
article_id INTEGER REFERENCES articles(id) ON DELETE CASCADE,
incident_id INTEGER REFERENCES incidents(id) ON DELETE CASCADE,
location_name TEXT NOT NULL,
location_name_normalized TEXT,
country_code TEXT,
latitude REAL NOT NULL,
longitude REAL NOT NULL,
confidence REAL DEFAULT 0.0,
source_text TEXT,
tenant_id INTEGER REFERENCES organizations(id)
);
CREATE INDEX IF NOT EXISTS idx_article_locations_incident ON article_locations(incident_id);
CREATE INDEX IF NOT EXISTS idx_article_locations_article ON article_locations(article_id);
""")
await db.commit()
logger.info("Migration: article_locations-Tabelle erstellt")
# Verwaiste running-Eintraege beim Start als error markieren (aelter als 15 Min)
await db.execute(
"""UPDATE refresh_log SET status = 'error', error_message = 'Verwaist beim Neustart',

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@@ -271,6 +271,55 @@ async def get_factchecks(
return [dict(row) for row in rows]
@router.get("/{incident_id}/locations")
async def get_locations(
incident_id: int,
current_user: dict = Depends(get_current_user),
db: aiosqlite.Connection = Depends(db_dependency),
):
"""Geografische Orte einer Lage abrufen (aggregiert nach Ort)."""
tenant_id = current_user.get("tenant_id")
await _check_incident_access(db, incident_id, current_user["id"], tenant_id)
cursor = await db.execute(
"""SELECT al.location_name, al.location_name_normalized, al.country_code,
al.latitude, al.longitude, al.confidence,
a.id as article_id, a.headline, a.headline_de, a.source, a.source_url
FROM article_locations al
JOIN articles a ON a.id = al.article_id
WHERE al.incident_id = ?
ORDER BY al.location_name_normalized, a.collected_at DESC""",
(incident_id,),
)
rows = await cursor.fetchall()
# Aggregierung nach normalisiertem Ortsnamen + Koordinaten
loc_map = {}
for row in rows:
row = dict(row)
key = (row["location_name_normalized"] or row["location_name"], round(row["latitude"], 2), round(row["longitude"], 2))
if key not in loc_map:
loc_map[key] = {
"location_name": row["location_name_normalized"] or row["location_name"],
"lat": row["latitude"],
"lon": row["longitude"],
"country_code": row["country_code"],
"confidence": row["confidence"],
"article_count": 0,
"articles": [],
}
loc_map[key]["article_count"] += 1
# Maximal 10 Artikel pro Ort mitliefern
if len(loc_map[key]["articles"]) < 10:
loc_map[key]["articles"].append({
"id": row["article_id"],
"headline": row["headline_de"] or row["headline"],
"source": row["source"],
"source_url": row["source_url"],
})
return list(loc_map.values())
@router.get("/{incident_id}/refresh-log")
async def get_refresh_log(
incident_id: int,

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@@ -4142,3 +4142,174 @@ a:hover {
color: black !important;
}
}
/* === Karten-Kachel (Leaflet) === */
.map-card {
display: flex;
flex-direction: column;
height: 100%;
}
.map-card .card-header {
flex-shrink: 0;
}
.map-stats {
font-size: 12px;
color: var(--text-secondary);
font-family: var(--font-body);
}
.map-container {
flex: 1;
min-height: 200px;
position: relative;
z-index: 1;
}
.map-empty {
display: flex;
align-items: center;
justify-content: center;
height: 100%;
min-height: 200px;
color: var(--text-tertiary);
font-size: 13px;
font-family: var(--font-body);
}
/* Leaflet-Popup-Overrides */
.map-popup-container .leaflet-popup-content-wrapper {
background: var(--bg-card);
color: var(--text-primary);
border: 1px solid var(--border);
border-radius: var(--radius-lg);
box-shadow: var(--shadow-md);
}
.map-popup-container .leaflet-popup-tip {
background: var(--bg-card);
border: 1px solid var(--border);
}
.map-popup-container .leaflet-popup-content {
margin: 10px 12px;
font-family: var(--font-body);
font-size: 13px;
line-height: 1.5;
}
.map-popup-container .leaflet-popup-close-button {
color: var(--text-secondary);
}
.map-popup-container .leaflet-popup-close-button:hover {
color: var(--text-primary);
}
.map-popup-title {
font-weight: 600;
font-family: var(--font-title);
font-size: 14px;
margin-bottom: 2px;
}
.map-popup-cc {
font-size: 10px;
color: var(--text-secondary);
font-weight: 400;
text-transform: uppercase;
}
.map-popup-count {
font-size: 11px;
color: var(--text-secondary);
margin-bottom: 6px;
}
.map-popup-articles {
display: flex;
flex-direction: column;
gap: 4px;
}
.map-popup-article {
display: block;
font-size: 12px;
color: var(--text-primary);
text-decoration: none;
padding: 3px 0;
border-top: 1px solid var(--border);
line-height: 1.4;
}
a.map-popup-article:hover {
color: var(--accent);
}
.map-popup-source {
color: var(--text-secondary);
font-size: 11px;
}
.map-popup-more {
font-size: 11px;
color: var(--text-secondary);
font-style: italic;
padding-top: 4px;
border-top: 1px solid var(--border);
}
/* MarkerCluster in Gold-Akzent */
.map-cluster {
background: rgba(200, 168, 81, 0.25);
border-radius: 50%;
}
.map-cluster div {
width: 30px;
height: 30px;
margin: 5px;
background: var(--accent);
border-radius: 50%;
display: flex;
align-items: center;
justify-content: center;
}
.map-cluster span {
font-family: var(--font-body);
font-size: 12px;
font-weight: 600;
color: #0B1121;
}
.map-cluster-medium div {
width: 36px;
height: 36px;
margin: 2px;
}
.map-cluster-medium span {
font-size: 13px;
}
.map-cluster-large div {
width: 44px;
height: 44px;
margin: -2px;
}
.map-cluster-large span {
font-size: 14px;
}
/* Leaflet Controls: Dark-Theme */
.leaflet-control-zoom a {
background-color: var(--bg-card) !important;
color: var(--text-primary) !important;
border-color: var(--border) !important;
}
.leaflet-control-zoom a:hover {
background-color: var(--bg-hover) !important;
}
.leaflet-control-attribution {
background: rgba(11, 17, 33, 0.7) !important;
color: var(--text-secondary) !important;
font-size: 10px !important;
}
.leaflet-control-attribution a {
color: var(--text-secondary) !important;
}
/* Light-Theme Karten-Overrides */
[data-theme="light"] .leaflet-control-zoom a {
background-color: #fff !important;
color: #333 !important;
border-color: #ccc !important;
}
[data-theme="light"] .leaflet-control-attribution {
background: rgba(255, 255, 255, 0.7) !important;
color: #666 !important;
}
[data-theme="light"] .map-cluster span {
color: #fff;
}

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@@ -13,7 +13,10 @@
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Poppins:wght@400;500;600;700&display=swap" rel="stylesheet">
<link href="https://cdn.jsdelivr.net/npm/gridstack@12/dist/gridstack.min.css" rel="stylesheet">
<link rel="stylesheet" href="/static/css/style.css?v=20260304b">
<link rel="stylesheet" href="https://unpkg.com/leaflet@1.9.4/dist/leaflet.css" integrity="sha256-p4NxAoJBhIIN+hmNHrzRCf9tD/miZyoHS5obTRR9BMY=" crossorigin="">
<link rel="stylesheet" href="https://unpkg.com/leaflet.markercluster@1.5.3/dist/MarkerCluster.css">
<link rel="stylesheet" href="https://unpkg.com/leaflet.markercluster@1.5.3/dist/MarkerCluster.Default.css">
<link rel="stylesheet" href="/static/css/style.css?v=20260304c">
</head>
<body>
<a href="#main-content" class="skip-link">Zum Hauptinhalt springen</a>
@@ -179,6 +182,7 @@
<button class="layout-toggle-btn active" data-tile="faktencheck" onclick="LayoutManager.toggleTile('faktencheck')" aria-pressed="true">Faktencheck</button>
<button class="layout-toggle-btn active" data-tile="quellen" onclick="LayoutManager.toggleTile('quellen')" aria-pressed="true">Quellen</button>
<button class="layout-toggle-btn active" data-tile="timeline" onclick="LayoutManager.toggleTile('timeline')" aria-pressed="true">Timeline</button>
<button class="layout-toggle-btn active" data-tile="karte" onclick="LayoutManager.toggleTile('karte')" aria-pressed="true">Karte</button>
</div>
<button class="btn btn-secondary btn-small" onclick="LayoutManager.reset()">Layout zurücksetzen</button>
</div>
@@ -255,6 +259,20 @@
</div>
</div>
</div>
<div class="grid-stack-item" gs-id="karte" gs-x="0" gs-y="9" gs-w="12" gs-h="4" gs-min-w="6" gs-min-h="3">
<div class="grid-stack-item-content">
<div class="card map-card">
<div class="card-header">
<div class="card-title">Geografische Verteilung</div>
<span class="map-stats" id="map-stats"></span>
</div>
<div class="map-container" id="map-container">
<div class="map-empty" id="map-empty">Keine Orte erkannt</div>
</div>
</div>
</div>
</div>
</div>
<!-- Parkplatz für ausgeblendete Kacheln -->
@@ -539,10 +557,12 @@
<div class="toast-container" id="toast-container" aria-live="polite" aria-atomic="true"></div>
<script src="https://cdn.jsdelivr.net/npm/gridstack@12/dist/gridstack-all.js"></script>
<script src="/static/js/api.js?v=20260304a"></script>
<script src="/static/js/ws.js?v=20260304a"></script>
<script src="/static/js/components.js?v=20260304a"></script>
<script src="/static/js/layout.js?v=20260304a"></script>
<script src="/static/js/app.js?v=20260304a"></script>
<script src="https://unpkg.com/leaflet@1.9.4/dist/leaflet.js" integrity="sha256-20nQCchB9co0qIjJZRGuk2/Z9VM+kNiyxNV1lvTlZBo=" crossorigin=""></script>
<script src="https://unpkg.com/leaflet.markercluster@1.5.3/dist/leaflet.markercluster.js"></script>
<script src="/static/js/api.js?v=20260304c"></script>
<script src="/static/js/ws.js?v=20260304c"></script>
<script src="/static/js/components.js?v=20260304c"></script>
<script src="/static/js/layout.js?v=20260304c"></script>
<script src="/static/js/app.js?v=20260304c"></script>
</body>
</html>

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@@ -102,6 +102,10 @@ const API = {
return this._request('GET', `/incidents/${incidentId}/snapshots`);
},
getLocations(incidentId) {
return this._request('GET', `/incidents/${incidentId}/locations`);
},
refreshIncident(id) {
return this._request('POST', `/incidents/${id}/refresh`);
},

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@@ -19,6 +19,7 @@ const ThemeManager = {
document.documentElement.setAttribute('data-theme', next);
localStorage.setItem(this._key, next);
this._updateIcon(next);
UI.updateMapTheme();
},
_updateIcon(theme) {
const btn = document.getElementById('theme-toggle');
@@ -589,20 +590,21 @@ const App = {
async loadIncidentDetail(id) {
try {
const [incident, articles, factchecks, snapshots] = await Promise.all([
const [incident, articles, factchecks, snapshots, locations] = await Promise.all([
API.getIncident(id),
API.getArticles(id),
API.getFactChecks(id),
API.getSnapshots(id),
API.getLocations(id).catch(() => []),
]);
this.renderIncidentDetail(incident, articles, factchecks, snapshots);
this.renderIncidentDetail(incident, articles, factchecks, snapshots, locations);
} catch (err) {
UI.showToast('Fehler beim Laden: ' + err.message, 'error');
}
},
renderIncidentDetail(incident, articles, factchecks, snapshots) {
renderIncidentDetail(incident, articles, factchecks, snapshots, locations) {
// Header Strip
document.getElementById('incident-title').textContent = incident.title;
document.getElementById('incident-description').textContent = incident.description || '';
@@ -726,6 +728,9 @@ const App = {
});
this.rerenderTimeline();
this._resizeTimelineTile();
// Karte rendern
UI.renderMap(locations || []);
},
_collectEntries(filterType, searchTerm, range) {

Datei anzeigen

@@ -596,6 +596,133 @@ const UI = {
return url.length > 50 ? url.substring(0, 47) + '...' : url;
}
},
/**
* Leaflet-Karte mit Locations rendern.
*/
_map: null,
_mapCluster: null,
renderMap(locations) {
const container = document.getElementById('map-container');
const emptyEl = document.getElementById('map-empty');
const statsEl = document.getElementById('map-stats');
if (!container) return;
if (!locations || locations.length === 0) {
if (emptyEl) emptyEl.style.display = 'flex';
if (statsEl) statsEl.textContent = '';
if (this._map) {
this._map.remove();
this._map = null;
this._mapCluster = null;
}
return;
}
if (emptyEl) emptyEl.style.display = 'none';
// Statistik
const totalArticles = locations.reduce((s, l) => s + l.article_count, 0);
if (statsEl) statsEl.textContent = `${locations.length} Orte / ${totalArticles} Artikel`;
// Karte initialisieren oder updaten
if (!this._map) {
this._map = L.map(container, {
zoomControl: true,
attributionControl: true,
}).setView([51.1657, 10.4515], 5); // Deutschland-Zentrum
this._applyMapTiles();
this._mapCluster = L.markerClusterGroup({
maxClusterRadius: 40,
iconCreateFunction: function(cluster) {
const count = cluster.getChildCount();
let size = 'small';
if (count >= 10) size = 'medium';
if (count >= 50) size = 'large';
return L.divIcon({
html: '<div><span>' + count + '</span></div>',
className: 'map-cluster map-cluster-' + size,
iconSize: L.point(40, 40),
});
},
});
this._map.addLayer(this._mapCluster);
} else {
this._mapCluster.clearLayers();
}
// Marker hinzufuegen
const bounds = [];
locations.forEach(loc => {
const marker = L.marker([loc.lat, loc.lon]);
// Popup-Inhalt
let popupHtml = `<div class="map-popup">`;
popupHtml += `<div class="map-popup-title">${this.escape(loc.location_name)}`;
if (loc.country_code) popupHtml += ` <span class="map-popup-cc">${this.escape(loc.country_code)}</span>`;
popupHtml += `</div>`;
popupHtml += `<div class="map-popup-count">${loc.article_count} Artikel</div>`;
popupHtml += `<div class="map-popup-articles">`;
const maxShow = 5;
loc.articles.slice(0, maxShow).forEach(art => {
const headline = this.escape(art.headline || 'Ohne Titel');
const source = this.escape(art.source || '');
if (art.source_url) {
popupHtml += `<a href="${this.escape(art.source_url)}" target="_blank" rel="noopener" class="map-popup-article">${headline} <span class="map-popup-source">${source}</span></a>`;
} else {
popupHtml += `<div class="map-popup-article">${headline} <span class="map-popup-source">${source}</span></div>`;
}
});
if (loc.articles.length > maxShow) {
popupHtml += `<div class="map-popup-more">+${loc.articles.length - maxShow} weitere</div>`;
}
popupHtml += `</div></div>`;
marker.bindPopup(popupHtml, { maxWidth: 300, className: 'map-popup-container' });
this._mapCluster.addLayer(marker);
bounds.push([loc.lat, loc.lon]);
});
// Ansicht auf Marker zentrieren
if (bounds.length > 0) {
if (bounds.length === 1) {
this._map.setView(bounds[0], 8);
} else {
this._map.fitBounds(bounds, { padding: [30, 30], maxZoom: 12 });
}
}
// Resize-Fix fuer gridstack
setTimeout(() => { if (this._map) this._map.invalidateSize(); }, 200);
},
_applyMapTiles() {
if (!this._map) return;
// Alte Tile-Layer entfernen
this._map.eachLayer(layer => {
if (layer instanceof L.TileLayer) this._map.removeLayer(layer);
});
const theme = document.documentElement.getAttribute('data-theme') || 'dark';
const tileUrl = theme === 'dark'
? 'https://{s}.basemaps.cartocdn.com/dark_all/{z}/{x}/{y}{r}.png'
: 'https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png';
const attribution = theme === 'dark'
? '&copy; <a href="https://www.openstreetmap.org/copyright">OSM</a> &copy; <a href="https://carto.com/">CARTO</a>'
: '&copy; <a href="https://www.openstreetmap.org/copyright">OpenStreetMap</a>';
L.tileLayer(tileUrl, { attribution, maxZoom: 18 }).addTo(this._map);
},
updateMapTheme() {
this._applyMapTiles();
},
invalidateMap() {
if (this._map) this._map.invalidateSize();
},
/**
* HTML escapen.
*/

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@@ -14,6 +14,7 @@ const LayoutManager = {
{ id: 'faktencheck', x: 6, y: 0, w: 6, h: 4, minW: 4, minH: 4 },
{ id: 'quellen', x: 0, y: 4, w: 12, h: 2, minW: 6, minH: 2 },
{ id: 'timeline', x: 0, y: 5, w: 12, h: 4, minW: 6, minH: 4 },
{ id: 'karte', x: 0, y: 9, w: 12, h: 4, minW: 6, minH: 3 },
],
TILE_MAP: {
@@ -21,6 +22,7 @@ const LayoutManager = {
faktencheck: '.incident-analysis-factcheck',
quellen: '.source-overview-card',
timeline: '.timeline-card',
karte: '.map-card',
},
init() {
@@ -44,7 +46,11 @@ const LayoutManager = {
this._applyLayout(saved);
}
this._grid.on('change', () => this._debouncedSave());
this._grid.on('change', () => {
this._debouncedSave();
// Leaflet-Map bei Resize invalidieren
if (typeof UI !== 'undefined') UI.invalidateMap();
});
const toolbar = document.getElementById('layout-toolbar');
if (toolbar) toolbar.style.display = 'flex';