Commit graph

5 commits

Author SHA1 Message Date
Cyber MacGeddon
33f031d664 The metadata field (list of triples) in the pipeline Metadata class
was redundant. Document metadata triples already flow directly from
librarian to triple-store via emit_document_provenance() - they don't
need to pass through the extraction pipeline.

Additionally, chunker and PDF decoder were overwriting metadata to []
anyway, so any metadata passed through the pipeline was being
discarded.

Changes:
- Remove metadata field from Metadata dataclass
  (schema/core/metadata.py)
- Update all Metadata instantiations to remove metadata=[]
  parameter
- Remove metadata handling from translators (document_loading,
  knowledge)
- Remove metadata consumption from extractors (ontology, agent)
- Update gateway serializers and import handlers
- Update all unit, integration, and contract tests
2026-03-11 10:50:41 +00:00
cybermaggedon
cd5580be59
Extract-time provenance (#661)
1. Shared Provenance Module - URI generators, namespace constants,
   triple builders, vocabulary bootstrap
2. Librarian - Emits document metadata to graph on processing
   initiation (vocabulary bootstrap + PROV-O triples)
3. PDF Extractor - Saves pages as child documents, emits parent-child
   provenance edges, forwards page IDs
4. Chunker - Saves chunks as child documents, emits provenance edges,
   forwards chunk ID + content
5. Knowledge Extractors (both definitions and relationships):
   - Link entities to chunks via SUBJECT_OF (not top-level document)
   - Removed duplicate metadata emission (now handled by librarian)
   - Get chunk_doc_id and chunk_uri from incoming Chunk message
6. Embedding Provenance:
   - EntityContext schema has chunk_id field
   - EntityEmbeddings schema has chunk_id field
   - Definitions extractor sets chunk_id when creating EntityContext
   - Graph embeddings processor passes chunk_id through to
     EntityEmbeddings

Provenance Flow:
Document → Page (PDF) → Chunk → Extracted Facts/Embeddings
    ↓           ↓          ↓              ↓
  librarian  librarian  librarian    (chunk_id reference)
  + graph    + graph    + graph

Each artifact is stored in librarian with parent-child linking, and PROV-O
edges are emitted to the knowledge graph for full traceability from any
extracted fact back to its source document.

Also, updating tests
2026-03-05 18:36:10 +00:00
cybermaggedon
a630e143ef
Incremental / large document loading (#659)
Tech spec

BlobStore (trustgraph-flow/trustgraph/librarian/blob_store.py):
- get_stream() - yields document content in chunks for streaming retrieval
- create_multipart_upload() - initializes S3 multipart upload, returns
  upload_id
- upload_part() - uploads a single part, returns etag
- complete_multipart_upload() - finalizes upload with part etags
- abort_multipart_upload() - cancels and cleans up

Cassandra schema (trustgraph-flow/trustgraph/tables/library.py):
- New upload_session table with 24-hour TTL
- Index on user for listing sessions
- Prepared statements for all operations
- Methods: create_upload_session(), get_upload_session(),
  update_upload_session_chunk(), delete_upload_session(),
  list_upload_sessions()

- Schema extended with UploadSession, UploadProgress, and new
  request/response fields
- Librarian methods: begin_upload, upload_chunk, complete_upload,
  abort_upload, get_upload_status, list_uploads
- Service routing for all new operations
- Python SDK with transparent chunked upload:
  - add_document() auto-switches to chunked for files > 10MB
  - Progress callback support (on_progress)
  - get_pending_uploads(), get_upload_status(), abort_upload(),
    resume_upload()

- Document table: Added parent_id and document_type columns with index
- Document schema (knowledge/document.py): Added document_id field for
  streaming retrieval
- Librarian operations:
  - add-child-document for extracted PDF pages
  - list-children to get child documents
  - stream-document for chunked content retrieval
  - Cascade delete removes children when parent is deleted
  - list-documents filters children by default
- PDF decoder (decoding/pdf/pdf_decoder.py): Updated to stream large
  documents from librarian API to temp file
- Librarian service (librarian/service.py): Sends document_id instead of
  content for large PDFs (>2MB)
- Deprecated tools (load_pdf.py, load_text.py): Added deprecation
  warnings directing users to tg-add-library-document +
  tg-start-library-processing

Remove load_pdf and load_text utils

Move chunker/librarian comms to base class

Updating tests
2026-03-04 16:57:58 +00:00
cybermaggedon
8929a680a1
Chunking dynamic params (#536)
* Chunking params are dynamic

* Update tests
2025-09-26 10:53:32 +01:00
cybermaggedon
258dfaeb7c
Fix token chunker, broken API invocation (#455) 2025-08-08 18:59:27 +01:00