# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# --------------------------------------------------------------------------
from typing import TYPE_CHECKING
import warnings
from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
from azure.core.pipeline import PipelineResponse
from azure.core.pipeline.transport import HttpRequest, HttpResponse
from azure.core.polling import LROPoller, NoPolling, PollingMethod
from azure.core.polling.base_polling import LROBasePolling
from .. import models as _models
if TYPE_CHECKING:
# pylint: disable=unused-import,ungrouped-imports
from typing import Any, Callable, Dict, Generic, Optional, TypeVar, Union
T = TypeVar('T')
ClsType = Optional[Callable[[PipelineResponse[HttpRequest, HttpResponse], T, Dict[str, Any]], Any]]
[docs]class FarmOperationsOperations(object):
"""FarmOperationsOperations operations.
You should not instantiate this class directly. Instead, you should create a Client instance that
instantiates it for you and attaches it as an attribute.
:ivar models: Alias to model classes used in this operation group.
:type models: ~azure.agrifood.farming.models
:param client: Client for service requests.
:param config: Configuration of service client.
:param serializer: An object model serializer.
:param deserializer: An object model deserializer.
"""
models = _models
def __init__(self, client, config, serializer, deserializer):
self._client = client
self._serialize = serializer
self._deserialize = deserializer
self._config = config
def _create_data_ingestion_job_initial(
self,
job_id, # type: str
job=None, # type: Optional["_models.FarmOperationDataIngestionJob"]
**kwargs # type: Any
):
# type: (...) -> "_models.FarmOperationDataIngestionJob"
cls = kwargs.pop('cls', None) # type: ClsType["_models.FarmOperationDataIngestionJob"]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
api_version = "2021-03-31-preview"
content_type = kwargs.pop("content_type", "application/json")
accept = "application/json"
# Construct URL
url = self._create_data_ingestion_job_initial.metadata['url'] # type: ignore
path_format_arguments = {
'Endpoint': self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
'jobId': self._serialize.url("job_id", job_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str')
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
body_content_kwargs = {} # type: Dict[str, Any]
if job is not None:
body_content = self._serialize.body(job, 'FarmOperationDataIngestionJob')
else:
body_content = None
body_content_kwargs['content'] = body_content
request = self._client.put(url, query_parameters, header_parameters, **body_content_kwargs)
pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [202]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize.failsafe_deserialize(_models.ErrorResponse, response)
raise HttpResponseError(response=response, model=error)
deserialized = self._deserialize('FarmOperationDataIngestionJob', pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
_create_data_ingestion_job_initial.metadata = {'url': '/farm-operations/ingest-data/{jobId}'} # type: ignore
[docs] def begin_create_data_ingestion_job(
self,
job_id, # type: str
job=None, # type: Optional["_models.FarmOperationDataIngestionJob"]
**kwargs # type: Any
):
# type: (...) -> LROPoller["_models.FarmOperationDataIngestionJob"]
"""Create a farm operation data ingestion job.
:param job_id: Job ID supplied by user.
:type job_id: str
:param job: Job parameters supplied by user.
:type job: ~azure.agrifood.farming.models.FarmOperationDataIngestionJob
:keyword callable cls: A custom type or function that will be passed the direct response
:keyword str continuation_token: A continuation token to restart a poller from a saved state.
:keyword polling: By default, your polling method will be LROBasePolling.
Pass in False for this operation to not poll, or pass in your own initialized polling object for a personal polling strategy.
:paramtype polling: bool or ~azure.core.polling.PollingMethod
:keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present.
:return: An instance of LROPoller that returns either FarmOperationDataIngestionJob or the result of cls(response)
:rtype: ~azure.core.polling.LROPoller[~azure.agrifood.farming.models.FarmOperationDataIngestionJob]
:raises ~azure.core.exceptions.HttpResponseError:
"""
polling = kwargs.pop('polling', True) # type: Union[bool, PollingMethod]
cls = kwargs.pop('cls', None) # type: ClsType["_models.FarmOperationDataIngestionJob"]
lro_delay = kwargs.pop(
'polling_interval',
self._config.polling_interval
)
cont_token = kwargs.pop('continuation_token', None) # type: Optional[str]
if cont_token is None:
raw_result = self._create_data_ingestion_job_initial(
job_id=job_id,
job=job,
cls=lambda x,y,z: x,
**kwargs
)
kwargs.pop('error_map', None)
kwargs.pop('content_type', None)
def get_long_running_output(pipeline_response):
deserialized = self._deserialize('FarmOperationDataIngestionJob', pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
path_format_arguments = {
'Endpoint': self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
'jobId': self._serialize.url("job_id", job_id, 'str'),
}
if polling is True: polling_method = LROBasePolling(lro_delay, lro_options={'final-state-via': 'location'}, path_format_arguments=path_format_arguments, **kwargs)
elif polling is False: polling_method = NoPolling()
else: polling_method = polling
if cont_token:
return LROPoller.from_continuation_token(
polling_method=polling_method,
continuation_token=cont_token,
client=self._client,
deserialization_callback=get_long_running_output
)
else:
return LROPoller(self._client, raw_result, get_long_running_output, polling_method)
begin_create_data_ingestion_job.metadata = {'url': '/farm-operations/ingest-data/{jobId}'} # type: ignore
[docs] def get_data_ingestion_job_details(
self,
job_id, # type: str
**kwargs # type: Any
):
# type: (...) -> "_models.FarmOperationDataIngestionJob"
"""Get a farm operation data ingestion job.
:param job_id: ID of the job.
:type job_id: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: FarmOperationDataIngestionJob, or the result of cls(response)
:rtype: ~azure.agrifood.farming.models.FarmOperationDataIngestionJob
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType["_models.FarmOperationDataIngestionJob"]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
api_version = "2021-03-31-preview"
accept = "application/json"
# Construct URL
url = self.get_data_ingestion_job_details.metadata['url'] # type: ignore
path_format_arguments = {
'Endpoint': self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
'jobId': self._serialize.url("job_id", job_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
request = self._client.get(url, query_parameters, header_parameters)
pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize.failsafe_deserialize(_models.ErrorResponse, response)
raise HttpResponseError(response=response, model=error)
deserialized = self._deserialize('FarmOperationDataIngestionJob', pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
get_data_ingestion_job_details.metadata = {'url': '/farm-operations/ingest-data/{jobId}'} # type: ignore