Phase 0: TKG builder populate face_detections from face.json - Fix face.json parser for pose_angle format - Call store_traced_faces.py to set trace_id - Skip if trace_id already populated Phase 1: Qdrant face embeddings integration - Add FaceEmbeddingDb module (src/core/db/face_embedding_db.rs) - Create dev_face_embeddings collection (dim=512) - Store 1122 face embeddings with pose metadata - API: init_collection, batch_upsert, search_similar Rule2: TKG edges → relationship chunks - Design: RULE2_TKG_RELATIONSHIP_V1.0.md - Implementation: rule2_ingest.rs - ChunkType::Relationship added - Edge types: SPEAKS_AS, MUTUAL_GAZE, CO_OCCURS_WITH, HAS_APPEARANCE, WEARS - Auto-trigger on TKG rebuild API: - POST /api/v1/file/:file_uuid/rule2 (vectorization) - POST /api/v1/file/:file_uuid/tkg/rebuild (auto Rule2) Test: 75 relationship chunks created + vectorized
14 lines
350 B
Rust
14 lines
350 B
Rust
pub mod rule1_ingest;
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pub mod rule2_ingest;
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pub mod rule3_ingest;
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pub mod splitter;
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pub mod trace_ingest;
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pub mod types;
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pub use rule1_ingest::execute_rule1;
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pub use rule2_ingest::ingest_rule2;
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pub use rule3_ingest::ingest_rule3;
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pub use splitter::{AsrSegment, ChunkSplitter};
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pub use trace_ingest::ingest_traces;
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pub use types::{Chunk, ChunkType};
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