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"""
Example DAG using PostgresSQLToGCSOperator.
This DAG relies on the following OS environment variables
* AIRFLOW__API__GOOGLE_KEY_PATH - Path to service account key file. Note, you can skip this variable if you
run this DAG in a Composer environment.
"""
from __future__ import annotations
import logging
import os
from datetime import datetime
from typing import Any
try:
from airflow.sdk import task
except ImportError:
# Airflow 2 path
from airflow.decorators import task # type: ignore[attr-defined,no-redef]
from airflow.models.dag import DAG
from airflow.providers.common.sql.operators.sql import SQLExecuteQueryOperator
from airflow.providers.google.cloud.hooks.compute import ComputeEngineHook
from airflow.providers.google.cloud.hooks.compute_ssh import ComputeEngineSSHHook
from airflow.providers.google.cloud.operators.compute import (
ComputeEngineDeleteInstanceOperator,
ComputeEngineInsertInstanceOperator,
)
from airflow.providers.google.cloud.operators.gcs import (
GCSCreateBucketOperator,
GCSDeleteBucketOperator,
)
from airflow.providers.google.cloud.transfers.postgres_to_gcs import PostgresToGCSOperator
from airflow.providers.ssh.operators.ssh import SSHOperator
from airflow.providers.standard.operators.bash import BashOperator
try:
from airflow.sdk import TriggerRule
except ImportError:
# Compatibility for Airflow < 3.1
from airflow.utils.trigger_rule import TriggerRule # type: ignore[no-redef,attr-defined]
from system.google.gcp_api_client_helpers import create_airflow_connection, delete_airflow_connection
DAG_ID = "postgres_to_gcs"
ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID", "default")
PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "example-project")
IS_COMPOSER = bool(os.environ.get("COMPOSER_ENVIRONMENT", ""))
REGION = "europe-west2"
ZONE = REGION + "-a"
NETWORK = "default"
CONNECTION_ID = f"pg_{DAG_ID}_{ENV_ID}".replace("-", "_")
CONNECTION_TYPE = "postgres"
BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
FILE_NAME = "result.json"
DB_NAME = "testdb"
DB_PORT = 5432
DB_USER_NAME = "root"
DB_USER_PASSWORD = "demo_password"
SETUP_POSTGRES_COMMAND = f"""
sudo apt update &&
sudo apt install -y docker.io &&
sudo docker run -d -p {DB_PORT}:{DB_PORT} --name {DB_NAME} \
-e PGUSER={DB_USER_NAME} \
-e POSTGRES_USER={DB_USER_NAME} \
-e POSTGRES_PASSWORD={DB_USER_PASSWORD} \
-e POSTGRES_DB={DB_NAME} \
postgres
"""
SQL_TABLE = "test_table"
SQL_CREATE = f"CREATE TABLE IF NOT EXISTS {SQL_TABLE} (col_1 INT, col_2 VARCHAR(8))"
SQL_INSERT = f"INSERT INTO {SQL_TABLE} (col_1, col_2) VALUES (1, 'one'), (2, 'two')"
SQL_SELECT = f"SELECT * FROM {SQL_TABLE}"
GCE_MACHINE_TYPE = "n1-standard-1"
GCE_INSTANCE_NAME = f"instance-{DAG_ID}-{ENV_ID}".replace("_", "-")
GCE_INSTANCE_BODY = {
"name": GCE_INSTANCE_NAME,
"machine_type": f"zones/{ZONE}/machineTypes/{GCE_MACHINE_TYPE}",
"disks": [
{
"boot": True,
"auto_delete": True,
"device_name": GCE_INSTANCE_NAME,
"initialize_params": {
"disk_size_gb": "10",
"disk_type": f"zones/{ZONE}/diskTypes/pd-balanced",
"source_image": "projects/debian-cloud/global/images/debian-12-bookworm-v20240611",
},
}
],
"network_interfaces": [
{
"access_configs": [{"name": "External NAT", "network_tier": "PREMIUM"}],
"stack_type": "IPV4_ONLY",
"subnetwork": f"regions/{REGION}/subnetworks/default",
}
],
}
FIREWALL_RULE_NAME = f"allow-http-{DB_PORT}-{DAG_ID}-{ENV_ID}".replace("_", "-")
CREATE_FIREWALL_RULE_COMMAND = f"""
if [ $AIRFLOW__API__GOOGLE_KEY_PATH ]; then \
gcloud auth activate-service-account --key-file=$AIRFLOW__API__GOOGLE_KEY_PATH; \
fi;
if [ -z $(gcloud compute firewall-rules list --filter=name:{FIREWALL_RULE_NAME} --format="value(name)" --project={PROJECT_ID}) ]; then \
gcloud compute firewall-rules create {FIREWALL_RULE_NAME} \
--project={PROJECT_ID} \
--direction=INGRESS \
--priority=100 \
--network={NETWORK} \
--action=ALLOW \
--rules=tcp:{DB_PORT} \
--source-ranges=0.0.0.0/0
else
echo "Firewall rule {FIREWALL_RULE_NAME} already exists."
fi
"""
DELETE_FIREWALL_RULE_COMMAND = f"""
if [ $AIRFLOW__API__GOOGLE_KEY_PATH ]; then \
gcloud auth activate-service-account --key-file=$AIRFLOW__API__GOOGLE_KEY_PATH; \
fi; \
if [ $(gcloud compute firewall-rules list --filter=name:{FIREWALL_RULE_NAME} --format="value(name)" --project={PROJECT_ID}) ]; then \
gcloud compute firewall-rules delete {FIREWALL_RULE_NAME} --project={PROJECT_ID} --quiet; \
fi;
"""
log = logging.getLogger(__name__)
with DAG(
dag_id=DAG_ID,
schedule="@once",
start_date=datetime(2021, 1, 1),
catchup=False,
tags=["example", "postgres", "gcs"],
) as dag:
create_gce_instance = ComputeEngineInsertInstanceOperator(
task_id="create_gce_instance",
project_id=PROJECT_ID,
zone=ZONE,
body=GCE_INSTANCE_BODY,
)
create_firewall_rule = BashOperator(
task_id="create_firewall_rule",
bash_command=CREATE_FIREWALL_RULE_COMMAND,
)
setup_postgres = SSHOperator(
task_id="setup_postgres",
ssh_hook=ComputeEngineSSHHook(
user="username",
instance_name=GCE_INSTANCE_NAME,
zone=ZONE,
project_id=PROJECT_ID,
use_oslogin=False,
use_iap_tunnel=False,
cmd_timeout=180,
),
command=SETUP_POSTGRES_COMMAND,
retries=2,
)
@task
def get_public_ip() -> str:
hook = ComputeEngineHook()
address = hook.get_instance_address(resource_id=GCE_INSTANCE_NAME, zone=ZONE, project_id=PROJECT_ID)
return address
get_public_ip_task = get_public_ip()
@task
def create_connection(connection_id: str, ip_address: str) -> None:
connection: dict[str, Any] = {
"description": "Example connection",
"conn_type": CONNECTION_TYPE,
"schema": DB_NAME,
"host": ip_address,
"login": DB_USER_NAME,
"password": DB_USER_PASSWORD,
"port": DB_PORT,
}
create_airflow_connection(
connection_id=connection_id,
connection_conf=connection,
is_composer=IS_COMPOSER,
)
create_connection_task = create_connection(connection_id=CONNECTION_ID, ip_address=get_public_ip_task)
create_sql_table = SQLExecuteQueryOperator(
task_id="create_sql_table",
conn_id=CONNECTION_ID,
sql=SQL_CREATE,
retries=4,
)
insert_sql_data = SQLExecuteQueryOperator(
task_id="insert_sql_data",
conn_id=CONNECTION_ID,
sql=SQL_INSERT,
)
create_gcs_bucket = GCSCreateBucketOperator(
task_id="create_gcs_bucket",
bucket_name=BUCKET_NAME,
)
# [START howto_operator_postgres_to_gcs]
postgres_to_gcs = PostgresToGCSOperator(
task_id="postgres_to_gcs",
postgres_conn_id=CONNECTION_ID,
sql=SQL_SELECT,
bucket=BUCKET_NAME,
filename=FILE_NAME,
export_format="csv",
)
# [END howto_operator_postgres_to_gcs]
delete_gcs_bucket = GCSDeleteBucketOperator(
task_id="delete_gcs_bucket",
bucket_name=BUCKET_NAME,
trigger_rule=TriggerRule.ALL_DONE,
)
delete_firewall_rule = BashOperator(
task_id="delete_firewall_rule",
bash_command=DELETE_FIREWALL_RULE_COMMAND,
trigger_rule=TriggerRule.ALL_DONE,
)
delete_gce_instance = ComputeEngineDeleteInstanceOperator(
task_id="delete_gce_instance",
resource_id=GCE_INSTANCE_NAME,
zone=ZONE,
project_id=PROJECT_ID,
trigger_rule=TriggerRule.ALL_DONE,
)
@task(task_id="delete_connection")
def delete_connection(connection_id: str) -> None:
delete_airflow_connection(connection_id=connection_id, is_composer=IS_COMPOSER)
delete_connection_task = delete_connection(connection_id=CONNECTION_ID)
# TEST SETUP
create_gce_instance >> get_public_ip_task >> create_connection_task
[create_gce_instance, create_firewall_rule] >> setup_postgres
[setup_postgres, create_connection_task, create_firewall_rule] >> create_sql_table >> insert_sql_data
(
[create_gcs_bucket, insert_sql_data]
# TEST BODY
>> postgres_to_gcs
)
# TEST TEARDOWN
postgres_to_gcs >> [delete_gcs_bucket, delete_firewall_rule, delete_gce_instance, delete_connection_task]
from tests_common.test_utils.watcher import watcher
# This test needs watcher in order to properly mark success/failure
# when "tearDown" task with trigger rule is part of the DAG
list(dag.tasks) >> watcher()
from tests_common.test_utils.system_tests import get_test_run # noqa: E402
# Needed to run the example DAG with pytest (see: contributing-docs/testing/system_tests.rst)
test_run = get_test_run(dag)