mik-laj commented on a change in pull request #8008: Custom Facebook Ads Operator URL: https://github.com/apache/airflow/pull/8008#discussion_r404426868
########## File path: airflow/providers/facebook/ads/example_dags/example_ads.py ########## @@ -0,0 +1,110 @@ +# +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. +""" +Example Airflow DAG that shows how to use FacebookAdsReportToGcsOperator. +""" +from facebook_business.adobjects.adsinsights import AdsInsights + +from airflow import models +from airflow.providers.facebook.ads.operators.ads import FacebookAdsReportToGcsOperator +from airflow.providers.google.cloud.operators.bigquery import ( + BigQueryCreateEmptyDatasetOperator, BigQueryCreateEmptyTableOperator, BigQueryExecuteQueryOperator, +) +from airflow.providers.google.cloud.operators.gcs_to_bigquery import GCSToBigQueryOperator +from airflow.utils.dates import days_ago + +# [START howto_GCS_env_variables] +GCP_PROJECT_ID = "free-tier-1997" +GCS_BUCKET = "airflow_bucket_fb" +GCS_OBJ_PATH = "Temp/this_is_my_report_csv.csv" +GCS_CONN_ID = "google_cloud_default" +DATASET_NAME = "airflow_test_dataset" +TABLE_NAME = "airflow_test_datatable" +# [END howto_GCS_env_variables] + +# [START howto_FB_ADS_env_variables] +FACEBOOK_ADS_CONN_ID = "facebook_default" +FIELDS = [ + AdsInsights.Field.campaign_name, + AdsInsights.Field.campaign_id, + AdsInsights.Field.ad_id, + AdsInsights.Field.clicks, + AdsInsights.Field.impressions, +] +PARAMS = { + 'level': 'ad', + 'date_preset': 'yesterday' +} +# [END howto_FB_ADS_env_variables] + +default_args = {"start_date": days_ago(1)} + +with models.DAG( + "example_fb_operator", + default_args=default_args, + schedule_interval=None, # Override to match your needs +) as dag: + + create_dataset = BigQueryCreateEmptyDatasetOperator(task_id="create-dataset", + dataset_id=DATASET_NAME) + + create_table = BigQueryCreateEmptyTableOperator( + task_id="create_table", + dataset_id=DATASET_NAME, + table_id=TABLE_NAME, + schema_fields=[ + {'name': 'campaign_name', 'type': 'STRING', 'mode': 'NULLABLE'}, + {'name': 'campaign_id', 'type': 'STRING', 'mode': 'NULLABLE'}, + {'name': 'ad_id', 'type': 'STRING', 'mode': 'NULLABLE'}, + {'name': 'clicks', 'type': 'STRING', 'mode': 'NULLABLE'}, + {'name': 'impressions', 'type': 'STRING', 'mode': 'NULLABLE'}, + ], + ) + + # [START howto_FB_ADS_to_gcs_operator] + run_operator = FacebookAdsReportToGcsOperator( + task_id='run_fetch_data', + start_date=days_ago(2), + owner='airflow', + facebook_conn_id=FACEBOOK_ADS_CONN_ID, + bucket_name=GCS_BUCKET, + params=PARAMS, + fields=FIELDS, + gcp_conn_id=GCS_CONN_ID, + object_name=GCS_OBJ_PATH, + ) + # [END howto_FB_ADS_to_gcs_operator] + + # [START howto_operator_gcs_to_bq] + load_csv = GCSToBigQueryOperator( + task_id='gcs_to_bq_example', + bucket=GCS_BUCKET, + source_objects=[GCS_OBJ_PATH], + destination_project_dataset_table=f"{DATASET_NAME}.{TABLE_NAME}", + write_disposition='WRITE_TRUNCATE') + # [END howto_operator_gcs_to_bq] + + # [START howto_operator_read_data_from_gcs] + read_data_from_gcs_many_chunks = BigQueryExecuteQueryOperator( Review comment: Thank you very much for the BigQuery example. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
