jpmschweitzerandClaude Opus 4.5
68eb1add3d
Returns counts for: - Neo4j: nodes by type (Document, Entity, Collection, Search) - Qdrant: vectors per collection - Wiki.js: total page count - Paperless: documents, tags, correspondents, document types 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
44 lines
1.2 KiB
Markdown
44 lines
1.2 KiB
Markdown
# TODO
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Outstanding work items for Library Desk.
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## Stub Endpoints to Implement
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The following endpoints in `src/main.py` return stub responses and need real implementations:
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### Ingestion Status Endpoints
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#### `POST /ingest/check-updates`
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Check which documents need updating based on content hashes. Used by Scheduler to determine what changed since last sync.
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**Implementation needed:**
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1. Query existing documents by path
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2. Compare content hashes
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3. Return list of updates needed
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#### `GET /ingest/status/{document_id}`
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Get processing status for a document.
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**Implementation needed:**
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- Status tracking system (Redis or database)
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- Track ingestion progress per document
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#### `GET /ingest/repo-status/{repository}`
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Get indexing status for an entire repository.
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**Implementation needed:**
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- Repository-level statistics
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- Track which documents from a repo are indexed
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### Deduplication
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#### `POST /deduplicate/check`
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Check for duplicate or highly similar documents using vector similarity and graph analysis.
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**Implementation needed:**
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1. Get document embedding from Qdrant
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2. Find similar vectors above threshold
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3. Check graph relationships
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4. Return candidates with similarity scores
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