fe4e792885
- Delete domain/parsing.py (broke hexagonal layering by importing infra) - Migrate all tests to import directly from domain.value_objects and infra.local_converter - Rewrite ServeConverter to match real Docling Serve v1 API contract: options sent as individual form fields (not JSON blob), response parsed from document.json_content (DoclingDocument), proper bbox coord_origin handling (TOPLEFT/BOTTOMLEFT) - Transmit all conversion options including generate_picture_images - Replace fragile lazy import circular dep with FastAPI Depends() + app.state for AnalysisService injection - Add frontend file size validation (50MB) before upload Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
79 lines
2.6 KiB
Python
79 lines
2.6 KiB
Python
"""Analysis API router — create, list, get, delete analysis jobs."""
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from __future__ import annotations
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import logging
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from typing import Annotated
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from fastapi import APIRouter, Depends, HTTPException, Request
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from api.schemas import AnalysisResponse, CreateAnalysisRequest
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from services.analysis_service import AnalysisService
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logger = logging.getLogger(__name__)
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router = APIRouter(prefix="/api/analyses", tags=["analyses"])
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def _get_service(request: Request) -> AnalysisService:
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return request.app.state.analysis_service
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ServiceDep = Annotated[AnalysisService, Depends(_get_service)]
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def _to_response(job) -> AnalysisResponse:
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return AnalysisResponse(
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id=job.id,
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document_id=job.document_id,
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document_filename=job.document_filename,
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status=job.status.value,
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content_markdown=job.content_markdown,
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content_html=job.content_html,
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pages_json=job.pages_json,
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error_message=job.error_message,
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started_at=str(job.started_at) if job.started_at else None,
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completed_at=str(job.completed_at) if job.completed_at else None,
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created_at=str(job.created_at),
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)
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@router.post("", response_model=AnalysisResponse)
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async def create_analysis(body: CreateAnalysisRequest, service: ServiceDep):
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"""Create a new analysis job for a document."""
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if not body.documentId or not body.documentId.strip():
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raise HTTPException(status_code=400, detail="documentId is required")
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pipeline_opts = None
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if body.pipelineOptions:
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pipeline_opts = body.pipelineOptions.model_dump()
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try:
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job = await service.create(body.documentId, pipeline_options=pipeline_opts)
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except ValueError as e:
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raise HTTPException(status_code=404, detail=str(e)) from e
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return _to_response(job)
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@router.get("", response_model=list[AnalysisResponse])
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async def list_analyses(service: ServiceDep):
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"""List all analysis jobs."""
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jobs = await service.find_all()
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return [_to_response(j) for j in jobs]
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@router.get("/{job_id}", response_model=AnalysisResponse)
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async def get_analysis(job_id: str, service: ServiceDep):
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"""Get a single analysis job."""
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job = await service.find_by_id(job_id)
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if not job:
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raise HTTPException(status_code=404, detail="Analysis not found")
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return _to_response(job)
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@router.delete("/{job_id}", status_code=204)
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async def delete_analysis(job_id: str, service: ServiceDep):
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"""Delete an analysis job."""
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deleted = await service.delete(job_id)
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if not deleted:
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raise HTTPException(status_code=404, detail="Analysis not found")
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