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from __future__ import annotations

import datetime

from airflow.providers.common.sql.config import DataSourceConfig
from airflow.providers.common.sql.operators.analytics import AnalyticsOperator
from airflow.sdk import DAG, task

datasource_config_s3 = DataSourceConfig(
    conn_id="aws_default", table_name="users_data", uri="s3://bucket/path/", format="parquet"
)

datasource_config_local = DataSourceConfig(
    conn_id="", table_name="users_data", uri="file:///path/to/", format="parquet"
)

datasource_config_iceberg = DataSourceConfig(
    conn_id="iceberg_default",
    table_name="users_data",
    db_name="demo",  # will be used to load table via pyiceberg eg: demo.users_data
    format="iceberg",
)

"""

For example when working iceberg with glue catalog provide the following format for iceberg connection extras:

{

    "client.access-key-id": "<>",
    "client.secret-access-key": "<>",
    'client.region': '<region>',
    "type": "glue",
    "uri": "https://glue.<region>.amazonaws.com/iceberg",

}

"""


# Please replace uri with appropriate value

with DAG(
    dag_id="example_analytics",
    schedule=datetime.timedelta(hours=4),
    start_date=datetime.datetime(2021, 1, 1),
    catchup=False,
    tags=["analytics", "common-sql"],
) as dag:
    # [START howto_analytics_operator_with_s3]
    analytics_with_s3 = AnalyticsOperator(
        task_id="analytics_with_s3",
        datasource_configs=[datasource_config_s3],
        queries=["SELECT * FROM users_data", "SELECT count(*) FROM users_data"],
    )

    # [END howto_analytics_operator_with_s3]

    # [START howto_analytics_operator_with_local]
    analytics_with_local = AnalyticsOperator(
        task_id="analytics_with_local",
        datasource_configs=[datasource_config_local],
        queries=["SELECT * FROM users_data", "SELECT count(*) FROM users_data"],
    )
    analytics_with_s3 >> analytics_with_local
    # [END howto_analytics_operator_with_local]

    # [START howto_analytics_decorator]
    @task.analytics(datasource_configs=[datasource_config_s3])
    def get_user_summary_queries():
        return ["SELECT * FROM users_data LIMIT 10", "SELECT count(*) FROM users_data"]

    # [END howto_analytics_decorator]

    # [START howto_analytics_iceberg]

    @task.analytics(datasource_configs=[datasource_config_iceberg])
    def get_users_product_queries_from_iceberg_catalog():
        return ["SELECT * FROM users_data LIMIT 10", "SELECT count(*) FROM users_data"]

    # [END howto_analytics_iceberg]

    analytics_with_local >> get_user_summary_queries() >> get_users_product_queries_from_iceberg_catalog()
