07f9ac91fc
- Add outgoing_links (JSON) and backlinks_count to Document model
- POST /documents/{id}/detect-links — detect [[uuid]] patterns in content
- GET /documents/{id}/backlinks — documents referencing this doc
- GET /documents/{id}/outgoing-links — documents this doc references
- GET /documents/{id}/links — combined incoming + outgoing
- GET /projects/{id}/graph — full project relationship graph
- GET /search/quick — fuzzy search (Quick Switcher Cmd+K)
- GET /projects/{id}/documents/search — project-scoped search
- GET /documents/{id}/export — markdown|json export
- GET /projects/{id}/export — json|zip export
- 27 new tests
55 lines
1.2 KiB
Python
55 lines
1.2 KiB
Python
from datetime import datetime
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from pydantic import BaseModel
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from app.schemas.document import TagInfo
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class SearchResult(BaseModel):
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id: str
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title: str
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excerpt: str
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project_id: str
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tags: list[TagInfo] = []
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score: float
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class SearchResponse(BaseModel):
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results: list[SearchResult]
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# =============================================================================
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# Phase 3: Quick Switcher Schemas (Fuzzy Search)
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# =============================================================================
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class QuickSwitcherItem(BaseModel):
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id: str
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type: str # "document" | "project"
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title: str
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subtitle: str | None = None
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highlight: str | None = None # HTML with <mark> tags
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icon: str | None = None
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project_id: str | None = None
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class QuickSwitcherResponse(BaseModel):
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query: str
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results: list[QuickSwitcherItem]
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total: int
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search_type: str = "fuzzy"
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class ProjectDocumentSearchItem(BaseModel):
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document_id: str
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title: str
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excerpt: str
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updated_at: datetime
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score: float
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class ProjectDocumentSearchResponse(BaseModel):
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project_id: str
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query: str
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results: list[ProjectDocumentSearchItem]
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total: int
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