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"""This module contains Facebook Ad Reporting to GCS operators."""
import csv
import tempfile
import warnings
from typing import Any, Dict, List, Optional, Sequence, Union

from airflow.exceptions import AirflowException
from airflow.models import BaseOperator
from import FacebookAdsReportingHook
from import GCSHook

[docs]class FacebookAdsReportToGcsOperator(BaseOperator): """ Fetches the results from the Facebook Ads API as desired in the params Converts and saves the data as a temporary JSON file Uploads the JSON to Google Cloud Storage .. seealso:: For more information on the Facebook Ads API, take a look at the API docs: .. seealso:: For more information on the Facebook Ads Python SDK, take a look at the docs: .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:FacebookAdsReportToGcsOperator` :param bucket_name: The GCS bucket to upload to :type bucket_name: str :param object_name: GCS path to save the object. Must be the full file path (ex. `path/to/file.txt`) :type object_name: str :param gcp_conn_id: Airflow Google Cloud connection ID :type gcp_conn_id: str :param facebook_conn_id: Airflow Facebook Ads connection ID :type facebook_conn_id: str :param api_version: The version of Facebook API. Default to v6.0 :type api_version: str :param fields: List of fields that is obtained from Facebook. Found in AdsInsights.Field class. :type fields: List[str] :param params: Parameters that determine the query for Facebook. This keyword is deprecated, please use `parameters` keyword to pass the parameters. :type params: Dict[str, Any] :param parameters: Parameters that determine the query for Facebook :type parameters: Dict[str, Any] :param gzip: Option to compress local file or file data for upload :type gzip: bool :param impersonation_chain: Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated). :type impersonation_chain: Union[str, Sequence[str]] """
[docs] template_fields = ( "facebook_conn_id", "bucket_name", "object_name", "impersonation_chain", "parameters",
) def __init__( self, *, bucket_name: str, object_name: str, fields: List[str], params: Dict[str, Any] = None, parameters: Dict[str, Any] = None, gzip: bool = False, api_version: str = "v6.0", gcp_conn_id: str = "google_cloud_default", facebook_conn_id: str = "facebook_default", impersonation_chain: Optional[Union[str, Sequence[str]]] = None, **kwargs, ) -> None: super().__init__(**kwargs) self.bucket_name = bucket_name self.object_name = object_name self.gcp_conn_id = gcp_conn_id self.facebook_conn_id = facebook_conn_id self.api_version = api_version self.fields = fields self.parameters = parameters self.gzip = gzip self.impersonation_chain = impersonation_chain if params is None and parameters is None: raise AirflowException("Argument ['parameters'] is required") if params and parameters is None: # TODO: Remove in provider version 6.0 warnings.warn( "Please use 'parameters' instead of 'params'", DeprecationWarning, stacklevel=2, ) self.parameters = params
[docs] def execute(self, context: dict): service = FacebookAdsReportingHook( facebook_conn_id=self.facebook_conn_id, api_version=self.api_version ) rows = service.bulk_facebook_report(params=self.parameters, fields=self.fields) converted_rows = [dict(row) for row in rows]"Facebook Returned %s data points", len(converted_rows)) if converted_rows: headers = converted_rows[0].keys() with tempfile.NamedTemporaryFile("w", suffix=".csv") as csvfile: writer = csv.DictWriter(csvfile, fieldnames=headers) writer.writeheader() writer.writerows(converted_rows) csvfile.flush() hook = GCSHook( gcp_conn_id=self.gcp_conn_id, impersonation_chain=self.impersonation_chain, ) hook.upload( bucket_name=self.bucket_name, object_name=self.object_name,, gzip=self.gzip, )"%s uploaded to GCS",

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