Add tag relationship graph visualization for topic clusters#890
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Features: - Tag-based relationship graph using force-directed layout - Hybrid weight calculation (frequency + TF-IDF) - Automatic community detection using Louvain algorithm - Interactive visualization with ECharts - Support for Tag and Cluster nodes - Click to search images by tag - Top-N filtering to avoid visual clutter Backend: - New API endpoint: POST /db/cluster_tag_graph - Tag weight calculation with configurable alpha - Category inference (character/style/scene/object) - Community detection (requires networkx, optional) Frontend: - New component: TagRelationGraph.vue - Switch between Cluster Cards and Tag Graph views - Interactive graph with drag/zoom/pan - Node details panel with search functionality - Stats panel showing tags/clusters/images count Documentation: - Added TAG_GRAPH_README.md with usage guide Co-Authored-By: Claude <noreply@anthropic.com>
- Install echarts@6.0.0 for graph visualization - Update TagRelationGraph.vue to use echarts instead of custom canvas - Build completed successfully
- Add get_all_keywords_frequency method to TopicTitleCache - Initialize keyword frequency from historical cached cluster keywords - Prioritize top 100 high-frequency keywords when generating new keywords - Update LLM prompt to prefer existing keywords from frequency list - Reduce duplicate/similar keyword generation across clusters - Add streaming support for tag_graph LLM requests - Increase LLM timeout and retry limits for better reliability
…cache banner - Add keyword count limit (default 600) for Tag layer to improve performance - Implement irregular node layout with random perturbations - Add layer spacing based on adjacent layer widths for consistent gaps - Add cache result banner with collapse/expand functionality - Add streaming response utility for LLM API calls - Update i18n translations for new cache banner texts - Optimize tag graph: increase max tags to 500, add level-2 tiered requirements - Fix keyword deduplication and null handling in tag graph
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