#8/#10 Cross-Mindmap: Combined-Visualisierung mit Theme-Clustering ueber Podcast-Grenzen
scripts/cluster_themes.py:
- Berechnet Embeddings je Theme (label + description), single-linkage Clustering
ueber Cosinus-Schwelle (default 0.55) ueber Podcast-Grenzen hinweg.
- Output: data/theme_clusters.json mit Cluster-Liste, je Cluster Mitglieder
(podcast_id, theme_id, label) und Cross-Flag.
Backend:
- /api/analyses/cross-themes: liefert die Cluster-Datei aus.
Frontend (CrossMindmapView):
- Force-Graph mit zwei Podcast-Hubs (links/rechts), je Themen radial drumherum,
Cross-Cluster-Member als gestrichelte gelbe Verbindungslinien mit Cluster-Label.
- Panel: Cross-Cluster oben (klickbar zur Episode), Solo-Cluster darunter.
- Klick auf Theme oeffnet den jeweiligen Podcast.
- 'Cross-Mindmap'-Button im Selector.
Initiales Cluster-Ergebnis: 13 Cluster aus 14 Themen, 1 Cross-Cluster
('Trump-USA' x 'Plattformmacht/Debattenkultur').
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
Dotty Dotter
parent
b8c808cd87
commit
d7a0ed2715
@ -271,6 +271,21 @@ def get_shifts_analysis(podcast: Optional[str] = None, theme: Optional[str] = No
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}
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@app.get("/api/analyses/cross-themes")
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def get_cross_themes():
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"""Cross-Podcast-Themen-Cluster (#8/#10): Themen aus verschiedenen Podcasts,
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die semantisch zusammengehoeren."""
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path = Path(DATA_DIR) / "theme_clusters.json"
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if not path.exists():
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return {"available": False}
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try:
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with open(path) as f:
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data = json.load(f)
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except Exception:
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return {"available": False}
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return {"available": True, **data}
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@app.get("/api/analyses/density")
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def get_density(podcast_id: Optional[str] = None, bins: int = 20):
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"""Faktendichte (#16): claims-Verteilung je Episode in N Bins ueber die Paragraph-Achse."""
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150
scripts/cluster_themes.py
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150
scripts/cluster_themes.py
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@ -0,0 +1,150 @@
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#!/usr/bin/env python3
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"""#8 Standardisiertes Themen-Tagging: cluster Themes ueber Podcasts hinweg.
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Berechnet Embeddings fuer alle Themes (label + description) und ordnet aehnliche
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Themes ueber Podcast-Grenzen hinweg einem gemeinsamen Cluster zu.
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Output: data/theme_clusters.json
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{
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"clusters": [
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{
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"id": "klima",
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"label": "Klima",
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"members": [
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{"podcast_id": "ldn", "theme_id": "klima-verkehr", "label": "..."},
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{"podcast_id": "neu-denken", "theme_id": "klimakrise", "label": "..."}
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]
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}
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]
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}
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"""
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import json
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import os
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import sqlite3
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import sys
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from pathlib import Path
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import numpy as np
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from openai import OpenAI
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DB_PATH = sys.argv[1] if len(sys.argv) > 1 else "data/db.sqlite"
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OUT_PATH = sys.argv[2] if len(sys.argv) > 2 else "data/theme_clusters.json"
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THRESHOLD = float(os.environ.get("THEME_CLUSTER_THRESHOLD", "0.65"))
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API_KEY = os.environ.get("DASHSCOPE_API_KEY", "")
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BASE_URL = "https://dashscope-intl.aliyuncs.com/compatible-mode/v1"
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EMBED_MODEL = "text-embedding-v3"
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def embed(client, texts):
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resp = client.embeddings.create(model=EMBED_MODEL, input=texts, dimensions=1024)
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return [item.embedding for item in resp.data]
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def normalize(v):
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n = np.linalg.norm(v)
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return v / n if n else v
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def main():
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if not API_KEY:
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print("DASHSCOPE_API_KEY nicht gesetzt.")
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sys.exit(1)
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client = OpenAI(api_key=API_KEY, base_url=BASE_URL)
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db = sqlite3.connect(DB_PATH)
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db.row_factory = sqlite3.Row
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rows = db.execute("""
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SELECT podcast_id, id, label, description, color
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FROM themes ORDER BY podcast_id, id
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""").fetchall()
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print(f"Themes gefunden: {len(rows)}")
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if not rows:
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print("Nichts zu tun.")
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return
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texts = []
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for r in rows:
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snippet = r["label"]
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if r["description"]:
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snippet += " — " + r["description"]
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texts.append(snippet[:500])
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# Batch limit der DashScope-API ist 10 Texte je Call
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embs = []
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for i in range(0, len(texts), 8):
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embs.extend(embed(client, texts[i:i + 8]))
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vectors = np.array([normalize(np.array(e, dtype=np.float32)) for e in embs])
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# Single-Linkage Clustering ueber THRESHOLD
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n = len(rows)
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parent = list(range(n))
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def find(x):
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while parent[x] != x:
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parent[x] = parent[parent[x]]
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x = parent[x]
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return x
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def union(a, b):
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ra, rb = find(a), find(b)
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if ra != rb:
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parent[rb] = ra
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sim = vectors @ vectors.T
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for i in range(n):
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for j in range(i + 1, n):
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# Nur ueber Podcast-Grenzen oder bei sehr hoher Aehnlichkeit clustern
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if rows[i]["podcast_id"] != rows[j]["podcast_id"] and sim[i, j] >= THRESHOLD:
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union(i, j)
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# Cluster bilden
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cluster_map = {}
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for i in range(n):
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cluster_map.setdefault(find(i), []).append(i)
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clusters = []
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for cid, idxs in cluster_map.items():
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members = []
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for i in idxs:
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r = rows[i]
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members.append({
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"podcast_id": r["podcast_id"],
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"theme_id": r["id"],
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"label": r["label"],
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"color": r["color"],
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})
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# Cluster-Label: kuerzeste Member-Bezeichnung
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cluster_label = min((m["label"] for m in members), key=len)
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if len(members) > 1:
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# Cluster-ID aus erstem Theme-ID
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cid_str = members[0]["theme_id"]
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else:
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cid_str = members[0]["theme_id"]
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clusters.append({
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"id": cid_str,
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"label": cluster_label,
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"n_members": len(members),
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"is_cross": len(set(m["podcast_id"] for m in members)) > 1,
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"members": members,
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})
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# Sortieren: Cross-Cluster zuerst, dann nach Mitgliederzahl
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clusters.sort(key=lambda c: (-c["is_cross"], -c["n_members"]))
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out = {"threshold": THRESHOLD, "clusters": clusters}
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Path(OUT_PATH).parent.mkdir(parents=True, exist_ok=True)
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with open(OUT_PATH, "w", encoding="utf-8") as f:
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json.dump(out, f, ensure_ascii=False, indent=2)
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print(f"\n{len(clusters)} Cluster geschrieben nach {OUT_PATH}")
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cross = [c for c in clusters if c["is_cross"]]
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print(f" davon cross-podcast: {len(cross)}")
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for c in cross:
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members = ", ".join(f"{m['podcast_id']}/{m['theme_id']}" for m in c["members"])
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print(f" [{c['label']}] {members}")
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db.close()
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if __name__ == "__main__":
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main()
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@ -746,7 +746,7 @@ const AnalysisView = {
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async show(episodeId, mode) {
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if (!CURRENT_PODCAST) return;
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TranscriptView.hide(); AnalysisView.hide(); GapsView.hide(); ShiftsView.hide(); DebatesView.hide(); ArgumentsView.hide(); DensityView.hide();
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TranscriptView.hide(); AnalysisView.hide(); GapsView.hide(); ShiftsView.hide(); DebatesView.hide(); ArgumentsView.hide(); DensityView.hide(); CrossMindmapView.hide();
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this.episodeId = episodeId;
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this.mode = mode;
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this.visible = true;
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@ -919,7 +919,7 @@ const GapsView = {
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minSize: 0,
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async show() {
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TranscriptView.hide(); AnalysisView.hide(); GapsView.hide(); ShiftsView.hide(); DebatesView.hide(); ArgumentsView.hide(); DensityView.hide();
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TranscriptView.hide(); AnalysisView.hide(); GapsView.hide(); ShiftsView.hide(); DebatesView.hide(); ArgumentsView.hide(); DensityView.hide(); CrossMindmapView.hide();
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this.visible = true;
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const panel = document.getElementById('panel');
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panel.innerHTML = `<h2>Leerstellen</h2><p class="subtitle">Lädt …</p>`;
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@ -1041,7 +1041,7 @@ const ShiftsView = {
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expanded: {},
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async show() {
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TranscriptView.hide(); AnalysisView.hide(); GapsView.hide(); ShiftsView.hide(); DebatesView.hide(); ArgumentsView.hide(); DensityView.hide();
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TranscriptView.hide(); AnalysisView.hide(); GapsView.hide(); ShiftsView.hide(); DebatesView.hide(); ArgumentsView.hide(); DensityView.hide(); CrossMindmapView.hide();
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this.visible = true;
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const panel = document.getElementById('panel');
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panel.innerHTML = `<h2>Narrative Shifts</h2><p class="subtitle">Lädt …</p>`;
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@ -1425,7 +1425,7 @@ const DensityView = {
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sort: 'density', // 'density' | 'order'
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async show() {
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TranscriptView.hide(); AnalysisView.hide(); GapsView.hide(); ShiftsView.hide(); DebatesView.hide(); ArgumentsView.hide(); DensityView.hide();
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TranscriptView.hide(); AnalysisView.hide(); GapsView.hide(); ShiftsView.hide(); DebatesView.hide(); ArgumentsView.hide(); DensityView.hide(); CrossMindmapView.hide();
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this.visible = true;
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const panel = document.getElementById('panel');
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panel.innerHTML = `<h2>Faktendichte</h2><p class="subtitle">Lädt …</p>`;
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@ -1526,6 +1526,187 @@ const DensityView = {
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hide() { this.visible = false; }
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};
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// ── Cross Mindmap (#8/#10 Combined) ──
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const CrossMindmapView = {
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visible: false,
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data: null,
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podcastsData: null,
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async show() {
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TranscriptView.hide(); AnalysisView.hide(); GapsView.hide(); ShiftsView.hide(); DebatesView.hide(); ArgumentsView.hide(); DensityView.hide(); CrossMindmapView.hide();
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this.visible = true;
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// Mindmap-Container fuer SVG aufbereiten
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const mindmap = document.getElementById('mindmap');
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mindmap.style.overflow = 'hidden';
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mindmap.style.display = '';
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mindmap.style.padding = '';
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mindmap.innerHTML = '<svg id="svg"></svg>';
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document.querySelectorAll('.view-tab').forEach(t => t.classList.remove('active'));
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document.getElementById('tab-mindmap')?.classList.add('active');
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document.getElementById('staffel-filters').innerHTML = '';
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document.getElementById('app-title').innerHTML = `<span style="cursor:pointer" onclick="showPodcastList()" title="Zurück zur Übersicht">←</span> <span>Cross-Mindmap</span>`;
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document.title = 'Cross-Mindmap — Podcast Mindmap';
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const panel = document.getElementById('panel');
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panel.innerHTML = `<div class="welcome"><h2>Cross-Mindmap</h2><p>Themen aus verschiedenen Podcasts in einer Visualisierung. Cross-Cluster verbinden Themen, die semantisch zusammengehören.</p><p class="subtitle">Lädt …</p></div>`;
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try {
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// Cluster-Daten holen
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const cr = await fetch(`${API_BASE}/api/analyses/cross-themes`);
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this.data = await cr.json();
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// Daten beider Podcasts holen
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const pr = await fetch(`${API_BASE}/api/podcasts`);
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const podcasts = await pr.json();
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this.podcastsData = {};
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for (const p of podcasts) {
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const r = await fetch(`${API_BASE}/api/podcasts/${p.id}`);
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this.podcastsData[p.id] = await r.json();
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}
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} catch (e) {
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panel.innerHTML = `<h2>Cross-Mindmap</h2><p style="color:var(--accent-warm)">Fehler: ${escHtml(e.message)}</p>`;
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return;
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}
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requestAnimationFrame(() => requestAnimationFrame(() => this.render()));
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},
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render() {
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const svg = d3.select('#svg');
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svg.selectAll('*').remove();
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const container = document.getElementById('mindmap');
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let W = container.clientWidth, H = container.clientHeight;
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if (!W || W < 100) W = window.innerWidth - 400;
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if (!H || H < 100) H = window.innerHeight - 52;
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if (W < 200) W = 800;
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if (H < 200) H = 600;
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const isMobile = W < 600;
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const sc = isMobile ? 0.6 : 1;
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svg.attr('viewBox', `0 0 ${W} ${H}`).attr('preserveAspectRatio', 'xMidYMid meet');
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const nodes = [], links = [];
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const podcastIds = Object.keys(this.podcastsData);
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const colors = { 0: '#60a5fa', 1: '#dc7850' }; // blau / orange als Hub-Farben
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// Hubs links und rechts
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podcastIds.forEach((pid, i) => {
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const data = this.podcastsData[pid];
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const cx = i === 0 ? W * 0.28 : W * 0.72;
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const cy = H * 0.5;
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nodes.push({
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id: `hub-${pid}`, type: 'hub', pid,
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label: data.name,
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r: 36 * sc, fx: cx, fy: cy, color: colors[i] || '#888',
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});
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});
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// Themen je Podcast
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podcastIds.forEach(pid => {
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const data = this.podcastsData[pid];
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(data.themes || []).forEach(t => {
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nodes.push({
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id: `t-${pid}-${t.id}`, type: 'theme', pid,
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themeId: t.id, label: t.label.length > 22 ? t.label.slice(0, 20) + '…' : t.label,
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fullLabel: t.label, r: 22 * sc, color: t.color,
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});
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links.push({ source: `hub-${pid}`, target: `t-${pid}-${t.id}`, type: 'hub-theme' });
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});
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});
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// Cross-Links zwischen Themen verschiedener Podcasts
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const crossClusters = (this.data?.clusters || []).filter(c => c.is_cross);
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crossClusters.forEach(c => {
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const memberIds = c.members.map(m => `t-${m.podcast_id}-${m.theme_id}`);
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// Vollverbinde alle Mitglieder eines Cross-Clusters
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for (let i = 0; i < memberIds.length; i++) {
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for (let j = i + 1; j < memberIds.length; j++) {
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links.push({ source: memberIds[i], target: memberIds[j], type: 'cross', cluster: c.label });
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}
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}
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});
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const sim = d3.forceSimulation(nodes)
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.force('link', d3.forceLink(links).id(d => d.id).distance(d => d.type === 'hub-theme' ? 130 * sc : 220 * sc).strength(d => d.type === 'cross' ? 0.06 : 0.6))
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.force('charge', d3.forceManyBody().strength(d => d.type === 'hub' ? -1200 * sc : -250 * sc))
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.force('collision', d3.forceCollide().radius(d => d.r + 6))
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.alphaDecay(0.02);
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const zoom = d3.zoom().scaleExtent([0.3, 3]).on('zoom', e => g.attr('transform', e.transform));
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svg.call(zoom);
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const g = svg.append('g');
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const linkEls = g.append('g').selectAll('line').data(links).join('line')
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.attr('stroke', d => d.type === 'cross' ? '#fcd34d' : '#374151')
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.attr('stroke-width', d => d.type === 'cross' ? 2.4 : 1)
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.attr('stroke-dasharray', d => d.type === 'cross' ? '6,3' : null)
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.attr('opacity', d => d.type === 'cross' ? 0.85 : 0.5);
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// Cross-Cluster-Label auf den Verbindungen
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const crossLabels = g.append('g').selectAll('text').data(links.filter(l => l.type === 'cross')).join('text')
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.attr('font-size', '10px').attr('fill', '#fcd34d').attr('text-anchor', 'middle')
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.text(d => d.cluster);
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const nodeG = g.append('g');
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const themeNodes = nodeG.selectAll('.cross-theme').data(nodes.filter(n => n.type === 'theme')).join('g')
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.attr('class', 'cross-theme').style('cursor', 'pointer')
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.on('click', (e, d) => CrossMindmapView.openTheme(d.pid, d.themeId));
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themeNodes.append('circle').attr('r', d => d.r).attr('fill', d => d.color + '55').attr('stroke', d => d.color).attr('stroke-width', 1.6);
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themeNodes.append('text').attr('dy', d => -d.r - 6).attr('text-anchor', 'middle').attr('font-size', '11px').attr('fill', 'var(--text)').text(d => d.label);
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themeNodes.append('title').text(d => d.fullLabel);
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const hubNodes = nodeG.selectAll('.cross-hub').data(nodes.filter(n => n.type === 'hub')).join('g')
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.attr('class', 'cross-hub').style('cursor', 'pointer')
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.on('click', (e, d) => selectPodcast(d.pid));
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hubNodes.append('circle').attr('r', d => d.r).attr('fill', d => d.color + '22').attr('stroke', d => d.color).attr('stroke-width', 2.5);
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hubNodes.append('text').attr('text-anchor', 'middle').attr('font-size', '12px').attr('font-weight', '700').attr('fill', d => d.color)
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.selectAll('tspan').data(d => d.label.split(/\s+/)).join('tspan').attr('x', 0).attr('dy', (d, i) => i === 0 ? '-0.3em' : '1.2em').text(d => d);
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sim.on('tick', () => {
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linkEls.attr('x1', d => d.source.x).attr('y1', d => d.source.y).attr('x2', d => d.target.x).attr('y2', d => d.target.y);
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crossLabels.attr('x', d => (d.source.x + d.target.x) / 2).attr('y', d => (d.source.y + d.target.y) / 2 - 4);
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themeNodes.attr('transform', d => `translate(${d.x},${d.y})`);
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hubNodes.attr('transform', d => `translate(${d.x},${d.y})`);
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});
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// Panel: Cluster-Liste
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const panel = document.getElementById('panel');
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let html = `<h2>Cross-Mindmap</h2>`;
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const cross = crossClusters;
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html += `<p class="subtitle">${this.data.clusters.length} Themen-Cluster · ${cross.length} davon cross-podcast (Cosinus-Schwelle ${(this.data.threshold || 0).toFixed(2)})</p>`;
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if (cross.length) {
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html += `<h3 style="margin-top:14px;font-size:14px">Cross-Cluster</h3>`;
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||||
cross.forEach(c => {
|
||||
html += `<div class="transcript-para" style="cursor:default;border-left:3px solid #fcd34d">`;
|
||||
html += `<strong>${escHtml(c.label)}</strong>`;
|
||||
html += `<div class="subtitle" style="margin-top:4px">`;
|
||||
html += c.members.map(m => `<span class="theme-tag" style="cursor:pointer" onclick="CrossMindmapView.openTheme('${escAttr(m.podcast_id)}','${escAttr(m.theme_id)}')">${escHtml(m.podcast_id)} / ${escHtml(m.label)}</span>`).join(' ');
|
||||
html += `</div></div>`;
|
||||
});
|
||||
}
|
||||
html += `<h3 style="margin-top:14px;font-size:14px">Solo-Cluster (kein Cross-Match)</h3>`;
|
||||
this.data.clusters.filter(c => !c.is_cross).forEach(c => {
|
||||
const m = c.members[0];
|
||||
html += `<div class="transcript-para" style="cursor:pointer" onclick="CrossMindmapView.openTheme('${escAttr(m.podcast_id)}','${escAttr(m.theme_id)}')">`;
|
||||
html += `<span class="theme-tag" style="font-size:10px">${escHtml(m.podcast_id)}</span> ${escHtml(c.label)}`;
|
||||
html += `</div>`;
|
||||
});
|
||||
panel.innerHTML = html;
|
||||
},
|
||||
|
||||
openTheme(podcastId, themeId) {
|
||||
selectPodcast(podcastId).then(() => {
|
||||
// Theme-Knoten in der normalen Mindmap fokussieren
|
||||
setTimeout(() => {
|
||||
const t = (DATA?.themes || []).find(x => x.id === themeId);
|
||||
if (t && typeof showTheme === 'function') showTheme(t);
|
||||
}, 400);
|
||||
});
|
||||
},
|
||||
|
||||
hide() { this.visible = false; }
|
||||
};
|
||||
|
||||
// ── Search ──
|
||||
const Search = {
|
||||
init() {
|
||||
@ -1622,7 +1803,7 @@ const Search = {
|
||||
|
||||
showResults(results, query) {
|
||||
const panel = document.getElementById('panel');
|
||||
TranscriptView.hide(); AnalysisView.hide(); GapsView.hide(); ShiftsView.hide(); DebatesView.hide(); ArgumentsView.hide(); DensityView.hide();
|
||||
TranscriptView.hide(); AnalysisView.hide(); GapsView.hide(); ShiftsView.hide(); DebatesView.hide(); ArgumentsView.hide(); DensityView.hide(); CrossMindmapView.hide();
|
||||
|
||||
if (results.length === 0) {
|
||||
panel.innerHTML = `<p class="subtitle">Keine Treffer für "${escHtml(query)}"</p>`;
|
||||
@ -1650,7 +1831,7 @@ const Search = {
|
||||
},
|
||||
|
||||
showSemanticResults(results, query) {
|
||||
TranscriptView.hide(); AnalysisView.hide(); GapsView.hide(); ShiftsView.hide(); DebatesView.hide(); ArgumentsView.hide(); DensityView.hide();
|
||||
TranscriptView.hide(); AnalysisView.hide(); GapsView.hide(); ShiftsView.hide(); DebatesView.hide(); ArgumentsView.hide(); DensityView.hide(); CrossMindmapView.hide();
|
||||
const panel = document.getElementById('panel');
|
||||
let html = `<h2>${results.length} semantische Treffer für "${escHtml(query)}" <span class="semantic-badge">KI</span></h2>`;
|
||||
results.forEach(r => {
|
||||
@ -1663,7 +1844,7 @@ const Search = {
|
||||
},
|
||||
|
||||
showApiResults(results, query) {
|
||||
TranscriptView.hide(); AnalysisView.hide(); GapsView.hide(); ShiftsView.hide(); DebatesView.hide(); ArgumentsView.hide(); DensityView.hide();
|
||||
TranscriptView.hide(); AnalysisView.hide(); GapsView.hide(); ShiftsView.hide(); DebatesView.hide(); ArgumentsView.hide(); DensityView.hide(); CrossMindmapView.hide();
|
||||
const panel = document.getElementById('panel');
|
||||
let html = `<h2>${results.length} Treffer für "${escHtml(query)}"</h2>`;
|
||||
results.forEach(r => {
|
||||
@ -1826,6 +2007,7 @@ function showPodcastSelector(podcasts) {
|
||||
selectorHtml += '<button class="compare-btn" onclick="DebatesView.show()">Debatten</button>';
|
||||
selectorHtml += '<button class="compare-btn" onclick="ArgumentsView.show()">Argumentketten</button>';
|
||||
selectorHtml += '<button class="compare-btn" onclick="DensityView.show()">Faktendichte</button>';
|
||||
selectorHtml += '<button class="compare-btn" onclick="CrossMindmapView.show()">Cross-Mindmap</button>';
|
||||
selectorHtml += '</div>';
|
||||
}
|
||||
|
||||
@ -2219,7 +2401,7 @@ function drag(sim) {
|
||||
|
||||
// ── Panel: Theme ──
|
||||
function showTheme(theme) {
|
||||
TranscriptView.hide(); AnalysisView.hide(); GapsView.hide(); ShiftsView.hide(); DebatesView.hide(); ArgumentsView.hide(); DensityView.hide();
|
||||
TranscriptView.hide(); AnalysisView.hide(); GapsView.hide(); ShiftsView.hide(); DebatesView.hide(); ArgumentsView.hide(); DensityView.hide(); CrossMindmapView.hide();
|
||||
const panel = document.getElementById('panel');
|
||||
const td = DATA.themes.find(t => t.id === theme.id);
|
||||
const quotes = DATA.quotes.filter(q => q.themes.includes(theme.id));
|
||||
|
||||
Loading…
Reference in New Issue
Block a user