curo1305
c4f0c7ad49
- Introduce async priority queue service in ai-service; all /chat calls now route through it - Refactor chat router to separate execute_chat (core logic) from the HTTP handler - Add /queue endpoints (status, pause, resume, cancel) for queue management - Update ai-service config to use Pydantic v2 model_config style - Add STATUS.md files for backend, ai-service, doc-service, and frontend - Document STATUS.md workflow in CLAUDE.md - Update doc-service documents router and schemas; frontend DocumentsPage and API client Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
56 lines
1.1 KiB
Python
56 lines
1.1 KiB
Python
from datetime import datetime
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from pydantic import BaseModel
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class CategoryOut(BaseModel):
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id: str
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name: str
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model_config = {"from_attributes": True}
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class DocumentOut(BaseModel):
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id: str
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user_id: str
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filename: str
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title: str | None
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file_size: int
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status: str
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document_type: str | None
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extracted_data: str | None # JSON string — frontend calls JSON.parse()
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tags: str | None # JSON array string
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error_message: str | None
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created_at: datetime
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processed_at: datetime | None
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categories: list[CategoryOut] = []
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model_config = {"from_attributes": True}
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class DocumentPage(BaseModel):
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items: list[DocumentOut]
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total: int
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page: int
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pages: int
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class DocumentStatusOut(BaseModel):
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id: str
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status: str
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error_message: str | None
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processed_at: datetime | None
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model_config = {"from_attributes": True}
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class DocumentTypeUpdate(BaseModel):
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document_type: str
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class TagsUpdate(BaseModel):
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tags: list[str]
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class TitleUpdate(BaseModel):
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title: str
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