Apache Airflow Google Provider

# Hooks - Base connectivity to Google services
from airflow.providers.google.cloud.hooks.bigquery import BigQueryHook
from airflow.providers.google.cloud.hooks.gcs import GCSHook
from airflow.providers.google.ads.hooks.ads import GoogleAdsHook

# Operators - Task execution components
from airflow.providers.google.cloud.operators.bigquery import BigQueryCreateDatasetOperator
from airflow.providers.google.cloud.operators.gcs import GCSCreateBucketOperator

# Sensors - Condition monitoring components
from airflow.providers.google.cloud.sensors.gcs import GCSObjectExistenceSensor
from airflow.providers.google.cloud.sensors.bigquery import BigQueryTableExistenceSensor

# Transfers - Data movement components
from airflow.providers.google.cloud.transfers.gcs_to_bigquery import GCSToBigQueryOperator
from airflow.providers.google.cloud.transfers.s3_to_gcs import S3ToGCSOperator

from datetime import datetime
from airflow import DAG
from airflow.providers.google.cloud.hooks.bigquery import BigQueryHook
from airflow.providers.google.cloud.operators.bigquery import BigQueryCreateDatasetOperator
from airflow.providers.google.cloud.sensors.gcs import GCSObjectExistenceSensor
from airflow.providers.google.cloud.transfers.gcs_to_bigquery import GCSToBigQueryOperator

# Define DAG
dag = DAG(
    'google_provider_example',
    default_args={'start_date': datetime(2023, 1, 1)},
    schedule_interval='@daily',
    catchup=False
)

# Create BigQuery dataset
create_dataset = BigQueryCreateDatasetOperator(
    task_id='create_dataset',
    dataset_id='example_dataset',
    project_id='my-gcp-project',
    gcp_conn_id='google_cloud_default',
    dag=dag
)

# Wait for file in GCS
wait_for_file = GCSObjectExistenceSensor(
    task_id='wait_for_file',
    bucket='my-bucket',
    object='data/input.csv',
    gcp_conn_id='google_cloud_default',
    dag=dag
)

# Load data from GCS to BigQuery
load_data = GCSToBigQueryOperator(
    task_id='load_data',
    bucket='my-bucket',
    source_objects=['data/input.csv'],
    destination_project_dataset_table='my-gcp-project.example_dataset.example_table',
    schema_fields=[
        {'name': 'id', 'type': 'INTEGER', 'mode': 'REQUIRED'},
        {'name': 'name', 'type': 'STRING', 'mode': 'NULLABLE'},
    ],
    write_disposition='WRITE_TRUNCATE',
    gcp_conn_id='google_cloud_default',
    dag=dag
)

# Set task dependencies
create_dataset >> wait_for_file >> load_data

# Using Service Account Key File
hook = BigQueryHook(
    gcp_conn_id='my_connection',
    key_path='/path/to/service-account.json'
)

# Using impersonation
hook = BigQueryHook(
    gcp_conn_id='my_connection',
    impersonation_chain='service-account@project.iam.gserviceaccount.com'
)

# Key GCP hooks and operators
class BigQueryHook: ...
class GCSHook: ...
class DataprocHook: ...
class DataflowHook: ...
class VertexAIHook: ...

class BigQueryCreateDatasetOperator: ...
class GCSCreateBucketOperator: ...
class DataprocCreateClusterOperator: ...
class DataflowCreatePythonJobOperator: ...

class GoogleAdsHook: ...
class GoogleAdsListAccountsOperator: ...
class GoogleAdsToGcsOperator: ...

class GoogleAnalyticsAdminHook: ...
class GoogleCampaignManagerHook: ...
class GoogleDisplayVideo360Hook: ...
class GoogleSearchAdsHook: ...

class GoogleDriveHook: ...
class GSheetsHook: ...
class GoogleCalendarHook: ...
class GCSToGoogleSheetsOperator: ...

class CloudFirestoreHook: ...
class CloudFirestoreExportDatabaseOperator: ...

class LevelDBHook: ...
class LevelDBOperator: ...
class LevelDBHookException: ...

class GCSToBigQueryOperator: ...
class S3ToGCSOperator: ...
class BigQueryToGCSOperator: ...
class MySQLToGCSOperator: ...
class AzureBlobStorageToGCSOperator: ...

class GoogleBaseHook: ...
class GoogleBaseAsyncHook: ...
class GoogleDiscoveryApiHook: ...
class OperationHelper: ...

# Common type definitions used across the provider
from typing import Dict, List, Optional, Union, Any, Sequence
from airflow.models import BaseOperator
from airflow.providers.google.common.hooks.base_google import GoogleBaseHook

# Connection and authentication types
GoogleCredentials = Union[str, Dict[str, Any]]
ImpersonationChain = Union[str, Sequence[str]]
GcpConnId = str

# Common parameter types
ProjectId = str
Location = str
ResourceId = str
Labels = Dict[str, str]