fda9142155
Introduced a `processing` router to handle job streaming using server-sent events. Added `Jobs` and `JobStatus` models for managing job-related data, along with database creation logic. Updated the `sample` router to create new job entries during experiment creation.
25 lines
687 B
Python
25 lines
687 B
Python
from fastapi import APIRouter, Depends
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from sqlalchemy.orm import Session
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from starlette.responses import StreamingResponse
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import asyncio
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import json
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from app.models import JobStatus, Jobs as JobModel
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from app.dependencies import get_db
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router = APIRouter()
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async def job_event_generator(db):
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while True:
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jobs = db.query(JobModel).filter(JobModel.status == JobStatus.TODO).all()
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if jobs:
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yield json.dumps([job.parameters for job in jobs]) + "\n\n"
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await asyncio.sleep(5)
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@router.get("/jobs/stream")
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async def stream_jobs(db: Session = Depends(get_db)):
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return StreamingResponse(job_event_generator(db), media_type="text/event-stream")
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