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ML-Learner / python_backend /api /CodeRunAndModelTrain /routes /jobFetcher_router.py

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c01955c verified 7 months ago

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import fastapi
from src.CodeRunAndModelTrain.pipelines.JobFetcherPipeline import JobFetcherPipeline
from exception import MyException
import pandas as pd
import sys
router=fastapi.APIRouter()

@router.post("/fetchJobs")
async def jobFetcher(jobtile: str="machine learning intern",updated:bool=False):
    try:
        job_fetcher_pipeline=JobFetcherPipeline()
        jobtile=jobtile.lower()
        res=await job_fetcher_pipeline.initiate(jobtile=jobtile,updated=updated)
        data=pd.read_csv(res.saved_jobs_file_path)
        data = data.where(pd.notnull(data), None)
        return data.to_dict(orient="records")
    except Exception as e:
        raise MyException(e, sys)

	import fastapi
	from src.CodeRunAndModelTrain.pipelines.JobFetcherPipeline import JobFetcherPipeline
	from exception import MyException
	import pandas as pd
	import sys
	router=fastapi.APIRouter()

	@router.post("/fetchJobs")
	async def jobFetcher(jobtile: str="machine learning intern",updated:bool=False):
	try:
	job_fetcher_pipeline=JobFetcherPipeline()
	jobtile=jobtile.lower()
	res=await job_fetcher_pipeline.initiate(jobtile=jobtile,updated=updated)
	data=pd.read_csv(res.saved_jobs_file_path)
	data = data.where(pd.notnull(data), None)
	return data.to_dict(orient="records")
	except Exception as e:
	raise MyException(e, sys)