95 lines
4.1 KiB
Python
95 lines
4.1 KiB
Python
import logging
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import uuid6
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from fastapi import APIRouter, BackgroundTasks, Depends, File, Form, HTTPException, UploadFile, status
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from common.deps import verify_api_key
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from common.db.hospital import select_hospital
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from common.db.source import select_source_mainpage, insert_source, insert_raw_info
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from common.db.run import insert_run, select_run_status
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from models.analysis import AnalysisCreate, AnalysisStartResponse, AnalysisStatusResponse
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from models.file import FileListItem, FileType, FileUploadResponse
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from models.status import AnalysisStatus, SourceType
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from services.pipeline import run_pipeline
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from services.file_data import get_analysis_files_response, handle_analysis_file_upload, soft_delete_analysis_file
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router = APIRouter(prefix="/api/analysis", tags=["analysis"], dependencies=[Depends(verify_api_key)])
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logger = logging.getLogger(__name__)
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@router.post("", status_code=status.HTTP_202_ACCEPTED, response_model=AnalysisStartResponse)
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async def start_analysis(body: AnalysisCreate, background_tasks: BackgroundTasks):
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logger.info("POST /api/analysis clinic_id=%s", body.clinic_id)
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analysis_run_id = str(uuid6.uuid7())
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hospital_id = body.clinic_id
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# 사실 hospital과 owner_user_id 비교 후 검증이 필요한 거지만 일단 PoC 니까. 나중에 바꿉니다.
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hospital = await select_hospital(hospital_id)
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if not hospital:
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raise HTTPException(status_code=409, detail="Clinic not found")
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analysis_run_id = await insert_run(analysis_run_id, hospital_id, hospital["owner_user_id"])
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mainpage = await select_source_mainpage(hospital_id)
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if mainpage:
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await insert_raw_info(mainpage["source_id"], analysis_run_id, data_tag=SourceType.MAINPAGE)
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channels = [
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(SourceType.INSTAGRAM, body.channels.instagram),
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(SourceType.FACEBOOK, body.channels.facebook),
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(SourceType.NAVER_BLOG, body.channels.naver_blog),
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(SourceType.YOUTUBE, body.channels.youtube),
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(SourceType.GANGNAM_UNNI, body.channels.gangnam_unni),
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]
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for source_type, url in channels:
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if url:
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source_id = await insert_source(hospital_id, source_type, url)
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await insert_raw_info(source_id, analysis_run_id, data_tag=source_type)
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background_tasks.add_task(run_pipeline, analysis_run_id)
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return AnalysisStartResponse(
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analysis_run_id=analysis_run_id,
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clinic_id=hospital_id,
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status=AnalysisStatus.DISCOVERING,
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estimated_seconds=90,
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poll_url=f"/api/analysis/{analysis_run_id}/status",
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)
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@router.post("/{run_id}/files", status_code=status.HTTP_201_CREATED, response_model=FileUploadResponse)
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async def upload_analysis_run_file(
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run_id: str,
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file: UploadFile = File(..., description="업로드할 파일"),
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file_type: FileType = Form(default=FileType.FILE, description="파일 타입 (image/video/audio/document/file)"),
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) -> FileUploadResponse:
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logger.info("POST /api/analysis/%s/files name=%s file_type=%s", run_id, file.filename, file_type.value)
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return await handle_analysis_file_upload(run_id, file, file_type)
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@router.get("/{run_id}/files", response_model=list[FileListItem])
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async def get_analysis_run_files(run_id: str) -> list[FileListItem]:
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logger.info("GET /api/analysis/%s/files", run_id)
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return await get_analysis_files_response(run_id)
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@router.delete("/{run_id}/files/{file_id}", status_code=status.HTTP_204_NO_CONTENT)
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async def delete_analysis_run_file(run_id: str, file_id: int) -> None:
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logger.info("DELETE /api/analysis/%s/files/%s", run_id, file_id)
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await soft_delete_analysis_file(analysis_run_id=run_id, file_id=file_id)
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return None
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@router.get("/{run_id}/status", response_model=AnalysisStatusResponse)
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async def get_analysis_status(run_id: str):
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logger.info("GET /api/analysis/%s/status", run_id)
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run_status = await select_run_status(run_id)
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if run_status is None:
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raise HTTPException(status_code=404, detail="Run not found")
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return AnalysisStatusResponse(
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analysis_run_id=run_id,
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status=AnalysisStatus(run_status),
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progress=50.0,
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current_step="",
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channel_errors={},
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completed_at=None,
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)
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