async def create_convert_str_job(
data: InputStrData, style: StyleType, level: Optional[LvType] = "MAX",
):
"""
Args:
data:
style:
level:
Returns:
"""
token = create_job_token(JobType(job="convert"))
job_execute_data = {
"names": data.data,
"export_style": style,
"export_level": level,
}
Process(target=converter_client, args=(token, job_execute_data),).start()
job_status_data = {
"data": data.dict(),
"style": style,
"level": level,
}
job_status = "created"
job_info = JobStatus(token=token, status=job_status, data=job_status_data)
return job_info
async def create_convert_dict_job(
data: InputDictData,
style: StyleType,
level: Optional[LvType] = "MAX",
file_type: str = "xlsx",
):
"""
Args:
file_type:
data:
style:
level:
Returns:
"""
token = create_job_token(JobType(job="convert"))
job_execute_data = {
"data": data.data,
"params": {"style": style, "level": level, "file_type": file_type,},
}
Process(target=converter_client, args=(token, job_execute_data, "dict"),).start()
job_status_data = {
"data": data.dict(),
"params": {"style": style, "level": level, "file_type": file_type,},
}
job_status = "created"
job_info = JobStatus(token=token, status=job_status, data=job_status_data)
return job_info
async def check_linker_job(token: str, ):
""""""
if is_job_finished(token):
job_data = get_job_output(token)
job_status = "finished"
else:
job_data = {}
job_status = "working"
job_info = JobStatus(token=token, status=job_status, data=job_data)
return job_info
async def check_converter_job_status(token: str,):
"""
Check the status of a job submitted to converter module.
"""
if is_job_finished(token):
job_data = get_job_output(token)
job_status = "finished"
else:
job_data = {}
job_status = "working"
job_info = JobStatus(token=token, status=job_status, data=job_data)
return job_info
async def create_equalize_job(
data: InputDictData, levels: Union[str, List[str]] = "B1", file_type: str = "xlsx",
):
"""
"""
token = create_job_token(JobType(job="convert"))
job_execute_data = {
"data": data.data,
"params": {"levels": levels, "file_type": file_type},
}
Process(target=equalizer_client, args=(token, job_execute_data, "dict"),).start()
job_status_data = {
"data": data.dict(),
"params": {"levels": levels, "file_type": file_type},
}
job_status = "created"
job_info = JobStatus(token=token, status=job_status, data=job_status_data)
return job_info
async def create_link_dict_job(
data: InputDictData,
export_url: bool = True,
export_names: bool = True,
file_type: str = "xlsx",
):
""""""
token = create_job_token(JobType(job="link"))
job_execute_data = {
"data": data.data,
"params": {
"export_url": export_url,
"export_names": export_names,
"file_type": file_type,
},
}
Process(
target=linker_client,
args=(token, job_execute_data, "dict"),
).start()
job_status = "created"
job_info = JobStatus(token=token, status=job_status, data=job_execute_data)
return job_info