dolgolyov.alexei
8b8fe916f0
Backend:
- Document + MemoryEntry models with Alembic migration (GIN FTS index)
- File upload endpoint with path traversal protection (sanitized filenames)
- Background document text extraction (PyMuPDF)
- Full-text search on extracted_text via PostgreSQL tsvector/tsquery
- Memory CRUD with enum-validated categories/importance, field allow-list
- AI tools: save_memory, search_documents, get_memory (Claude function calling)
- Tool execution loop in stream_ai_response (multi-turn tool use)
- Context assembly: injects critical memory + relevant doc excerpts
- File storage abstraction (local filesystem, S3-swappable)
- Secure file deletion (DB flush before disk delete)
Frontend:
- Document upload dialog (drag-and-drop + file picker)
- Document list with status badges, search, download (via authenticated blob)
- Document viewer with extracted text preview
- Memory list grouped by category with importance color coding
- Memory editor with category/importance dropdowns
- Documents + Memory pages with full CRUD
- Enabled sidebar navigation for both sections
Review fixes applied:
- Sanitized upload filenames (path traversal prevention)
- Download via axios blob (not bare <a href>, preserves auth)
- Route ordering: /search before /{id}/reindex
- Memory update allows is_active=False + field allow-list
- MemoryEditor form resets on mode switch
- Literal enum validation on category/importance schemas
- DB flush before file deletion for data integrity
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
33 lines
729 B
Python
33 lines
729 B
Python
import uuid
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from datetime import datetime
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from pydantic import BaseModel, Field
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class DocumentResponse(BaseModel):
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id: uuid.UUID
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user_id: uuid.UUID
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filename: str
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original_filename: str
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mime_type: str
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file_size: int
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doc_type: str
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processing_status: str
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extracted_text: str | None = None
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metadata: dict | None = Field(None, alias="metadata_")
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created_at: datetime
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model_config = {"from_attributes": True, "populate_by_name": True}
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class DocumentListResponse(BaseModel):
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documents: list[DocumentResponse]
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class UpdateDocumentRequest(BaseModel):
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doc_type: str | None = None
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class DocumentSearchRequest(BaseModel):
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query: str = Field(min_length=1, max_length=500)
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