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p5-ingest-controller.py
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import airflow
from airflow import DAG
from airflow.operators.dummy import DummyOperator
from airflow.providers.google.cloud.operators.bigquery import BigQueryCreateEmptyDatasetOperator
from airflow.operators.trigger_dagrun import TriggerDagRunOperator
from airflow.utils.dates import days_ago
from datetime import timedelta
project_id = 'cs329e-sp2024'
dataset_name = 'airline_raw_af'
bucket_name = 'cs329e-open-access'
region = 'us-central1'
default_args = {
'start_date': airflow.utils.dates.days_ago(0),
'retries': 0
}
dag = DAG(
dag_id='p5-ingest-controller',
default_args=default_args,
description='controller dag',
schedule_interval=None,
max_active_runs=1,
concurrency=3,
catchup=False,
dagrun_timeout=timedelta(minutes=10),
)
ingest_start = DummyOperator(task_id="ingest_start", dag=dag)
ingest_end = DummyOperator(task_id="ingest_end", dag=dag)
# create dataset raw
create_dataset_raw = BigQueryCreateEmptyDatasetOperator(
task_id='create_dataset_raw',
project_id=project_id,
dataset_id=dataset_name,
location=region,
if_exists='ignore',
dag=dag)
# load air_carriers
air_carriers_table_name = 'air_carriers'
air_carriers_file_name = 'initial_load/air_carriers.csv'
air_carriers_delimiter = ','
air_carriers_skip_leading_rows = 1
air_carriers_schema_full = [
{"name": "code", "type": "INTEGER", "mode": "REQUIRED"},
{"name": "description", "type": "STRING", "mode": "REQUIRED"},
{"name": "load_time", "type": "TIMESTAMP", "mode": "REQUIRED", "default_value_expression": "CURRENT_TIMESTAMP"},
]
air_carriers_schema = [
{"name": "code", "type": "INTEGER", "mode": "REQUIRED"},
{"name": "description", "type": "STRING", "mode": "REQUIRED"},
]
air_carriers_raw = TriggerDagRunOperator(
task_id="air_carriers_raw",
trigger_dag_id="p5-ingest-table",
conf={"project_id": project_id, "dataset_name": dataset_name, "bucket_name": bucket_name, \
"table_name": air_carriers_table_name, "file_name": air_carriers_file_name, \
"delimiter": air_carriers_delimiter, "skip_leading_rows": air_carriers_skip_leading_rows, \
"schema_full": air_carriers_schema_full, "schema": air_carriers_schema},
dag=dag)
# load bird_airports
bird_airports_table_name = 'bird_airports'
bird_airports_file_name = 'initial_load/bird_airports.csv'
bird_airports_delimiter = ','
bird_airports_skip_leading_rows = 1
bird_airports_schema_full = [
{"name": "code", "type": "STRING", "mode": "NULLABLE"},
{"name": "description", "type": "STRING", "mode": "NULLABLE"},
{"name": "load_time", "type": "TIMESTAMP", "mode": "REQUIRED", "default_value_expression": "CURRENT_TIMESTAMP"},
]
bird_airports_schema = [
{"name": "code", "type": "STRING", "mode": "NULLABLE"},
{"name": "description", "type": "STRING", "mode": "NULLABLE"},
]
bird_airports_raw = TriggerDagRunOperator(
task_id="bird_airports_raw",
trigger_dag_id="p5-ingest-table",
conf={"project_id": project_id, "dataset_name": dataset_name, "bucket_name": bucket_name, \
"table_name": bird_airports_table_name, "file_name": bird_airports_file_name, \
"delimiter": bird_airports_delimiter, "skip_leading_rows": bird_airports_skip_leading_rows, \
"schema_full": bird_airports_schema_full, "schema": bird_airports_schema},
dag=dag)
# load faker_airports
faker_airports_table_name = 'faker_airports'
faker_airports_file_name = 'initial_load/faker_airports.csv'
faker_airports_delimiter = "|"
faker_airports_skip_leading_rows = 1
faker_airports_schema_full = [
{"name": "airport", "type": "STRING", "mode": "REQUIRED"},
{"name": "iata", "type": "STRING", "mode": "REQUIRED"},
{"name": "icao", "type": "STRING", "mode": "NULLABLE"},
{"name": "city", "type": "STRING", "mode": "NULLABLE"},
{"name": "state", "type": "STRING", "mode": "NULLABLE"},
{"name": "country", "type": "STRING", "mode": "NULLABLE"},
{"name": "load_time", "type": "TIMESTAMP", "mode": "REQUIRED", "default_value_expression": "CURRENT_TIMESTAMP"},
]
faker_airports_schema = [
{"name": "airport", "type": "STRING", "mode": "REQUIRED"},
{"name": "iata", "type": "STRING", "mode": "REQUIRED"},
{"name": "icao", "type": "STRING", "mode": "NULLABLE"},
{"name": "city", "type": "STRING", "mode": "NULLABLE"},
{"name": "state", "type": "STRING", "mode": "NULLABLE"},
{"name": "country", "type": "STRING", "mode": "NULLABLE"},
]
faker_airports_raw = TriggerDagRunOperator(
task_id="faker_airports_raw",
trigger_dag_id="p5-ingest-table",
conf={"project_id": project_id, "dataset_name": dataset_name, "bucket_name": bucket_name, \
"table_name": faker_airports_table_name, "file_name": faker_airports_file_name, \
"delimiter": faker_airports_delimiter, "skip_leading_rows": faker_airports_skip_leading_rows, \
"schema_full": faker_airports_schema_full, "schema": faker_airports_schema},
dag=dag)
# load airlines
airlines_table_name = 'airlines'
airlines_file_name = 'initial_load/airlines.csv'
airlines_delimiter = ","
airlines_skip_leading_rows = 1
airlines_schema_full = [
{"name": "fl_date", "type": "STRING", "mode": "REQUIRED"},
{"name": "op_carrier_airline_id", "type": "INTEGER", "mode": "REQUIRED"},
{"name": "tail_num", "type": "STRING", "mode": "NULLABLE"},
{"name": "op_carrier_fl_num", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "origin_airport_id", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "origin_airport_seq_id", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "origin_city_market_id", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "origin", "type": "STRING", "mode": "NULLABLE"},
{"name": "dest_airport_id", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "dest_airport_seq_id", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "dest_city_market_id", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "dest", "type": "STRING", "mode": "NULLABLE"},
{"name": "crs_dep_time", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "dep_time", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "dep_delay", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "dep_delay_new", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "arr_time", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "arr_delay", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "arr_delay_new", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "cancelled", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "cancellation_code", "type": "STRING", "mode": "NULLABLE"},
{"name": "crs_elapsed_time", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "actual_elapsed_time", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "carrier_delay", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "weather_delay", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "nas_delay", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "security_delay", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "late_aircraft_delay", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "load_time", "type": "TIMESTAMP", "mode": "REQUIRED", "default_value_expression": "CURRENT_TIMESTAMP"},
]
airlines_schema = [
{"name": "fl_date", "type": "STRING", "mode": "REQUIRED"},
{"name": "op_carrier_airline_id", "type": "INTEGER", "mode": "REQUIRED"},
{"name": "tail_num", "type": "STRING", "mode": "NULLABLE"},
{"name": "op_carrier_fl_num", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "origin_airport_id", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "origin_airport_seq_id", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "origin_city_market_id", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "origin", "type": "STRING", "mode": "NULLABLE"},
{"name": "dest_airport_id", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "dest_airport_seq_id", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "dest_city_market_id", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "dest", "type": "STRING", "mode": "NULLABLE"},
{"name": "crs_dep_time", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "dep_time", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "dep_delay", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "dep_delay_new", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "arr_time", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "arr_delay", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "arr_delay_new", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "cancelled", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "cancellation_code", "type": "STRING", "mode": "NULLABLE"},
{"name": "crs_elapsed_time", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "actual_elapsed_time", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "carrier_delay", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "weather_delay", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "nas_delay", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "security_delay", "type": "INTEGER", "mode": "NULLABLE"},
{"name": "late_aircraft_delay", "type": "INTEGER", "mode": "NULLABLE"},
]
airlines_raw = TriggerDagRunOperator(
task_id="airlines_raw",
trigger_dag_id="p5-ingest-table",
conf={"project_id": project_id, "dataset_name": dataset_name, "bucket_name": bucket_name, \
"table_name": airlines_table_name, "file_name": airlines_file_name, \
"delimiter": airlines_delimiter, "skip_leading_rows": airlines_skip_leading_rows, \
"schema_full": airlines_schema_full, "schema": airlines_schema},
dag=dag)
# load meals
meals_table_name = 'meals'
meals_file_name = 'initial_load/meals.csv'
meals_delimiter = "|"
meals_skip_leading_rows = 1
meals_schema_full = [
{"name": "meal_id", "type": "INTEGER", "mode": "REQUIRED"},
{"name": "meal_name", "type": "STRING", "mode": "REQUIRED"},
{"name": "meal_image", "type": "STRING", "mode": "NULLABLE"},
{"name": "cat_name", "type": "STRING", "mode": "NULLABLE"},
{"name": "tags", "type": "STRING", "mode": "NULLABLE"},
{"name": "area", "type": "STRING", "mode": "NULLABLE"},
{"name": "ingredient1", "type": "STRING", "mode": "NULLABLE"},
{"name": "ingredient2", "type": "STRING", "mode": "NULLABLE"},
{"name": "ingredient3", "type": "STRING", "mode": "NULLABLE"},
{"name": "ingredient4", "type": "STRING", "mode": "NULLABLE"},
{"name": "ingredient5", "type": "STRING", "mode": "NULLABLE"},
{"name": "source", "type": "STRING", "mode": "NULLABLE"},
{"name": "youtube", "type": "STRING", "mode": "NULLABLE"},
{"name": "load_time", "type": "TIMESTAMP", "mode": "REQUIRED", "default_value_expression": "CURRENT_TIMESTAMP"},
]
meals_schema = [
{"name": "meal_id", "type": "INTEGER", "mode": "REQUIRED"},
{"name": "meal_name", "type": "STRING", "mode": "REQUIRED"},
{"name": "meal_image", "type": "STRING", "mode": "NULLABLE"},
{"name": "cat_name", "type": "STRING", "mode": "NULLABLE"},
{"name": "tags", "type": "STRING", "mode": "NULLABLE"},
{"name": "area", "type": "STRING", "mode": "NULLABLE"},
{"name": "ingredient1", "type": "STRING", "mode": "NULLABLE"},
{"name": "ingredient2", "type": "STRING", "mode": "NULLABLE"},
{"name": "ingredient3", "type": "STRING", "mode": "NULLABLE"},
{"name": "ingredient4", "type": "STRING", "mode": "NULLABLE"},
{"name": "ingredient5", "type": "STRING", "mode": "NULLABLE"},
{"name": "source", "type": "STRING", "mode": "NULLABLE"},
{"name": "youtube", "type": "STRING", "mode": "NULLABLE"},
]
meals_raw = TriggerDagRunOperator(
task_id="meals_raw",
trigger_dag_id="p5-ingest-table",
conf={"project_id": project_id, "dataset_name": dataset_name, "bucket_name": bucket_name, \
"table_name": meals_table_name, "file_name": meals_file_name, \
"delimiter": meals_delimiter, "skip_leading_rows": meals_skip_leading_rows, \
"schema_full": meals_schema_full, "schema": meals_schema},
dag=dag)
# load snacks
snacks_table_name = 'snacks'
snacks_file_name = 'initial_load/snacks.csv'
snacks_delimiter = ","
snacks_skip_leading_rows = 1
snacks_schema_full = [
{"name": "code", "type": "STRING", "mode": "REQUIRED"},
{"name": "url", "type": "STRING", "mode": "NULLABLE"},
{"name": "product_name", "type": "STRING", "mode": "NULLABLE"},
{"name": "brands", "type": "STRING", "mode": "NULLABLE"},
{"name": "categories", "type": "STRING", "mode": "NULLABLE"},
{"name": "countries_en", "type": "STRING", "mode": "NULLABLE"},
{"name": "ingredients_text", "type": "STRING", "mode": "NULLABLE"},
{"name": "image_url", "type": "STRING", "mode": "NULLABLE"},
{"name": "created_datetime", "type": "TIMESTAMP", "mode": "NULLABLE"},
{"name": "last_modified_datetime", "type": "TIMESTAMP", "mode": "NULLABLE"},
{"name": "load_time", "type": "TIMESTAMP", "mode": "REQUIRED", "default_value_expression": "CURRENT_TIMESTAMP"},
]
snacks_schema = [
{"name": "code", "type": "STRING", "mode": "REQUIRED"},
{"name": "url", "type": "STRING", "mode": "NULLABLE"},
{"name": "product_name", "type": "STRING", "mode": "NULLABLE"},
{"name": "brands", "type": "STRING", "mode": "NULLABLE"},
{"name": "categories", "type": "STRING", "mode": "NULLABLE"},
{"name": "countries_en", "type": "STRING", "mode": "NULLABLE"},
{"name": "ingredients_text", "type": "STRING", "mode": "NULLABLE"},
{"name": "image_url", "type": "STRING", "mode": "NULLABLE"},
{"name": "created_datetime", "type": "TIMESTAMP", "mode": "NULLABLE"},
{"name": "last_modified_datetime", "type": "TIMESTAMP", "mode": "NULLABLE"},
]
snacks_raw = TriggerDagRunOperator(
task_id="snacks_raw",
trigger_dag_id="p5-ingest-table",
conf={"project_id": project_id, "dataset_name": dataset_name, "bucket_name": bucket_name, \
"table_name": snacks_table_name, "file_name": snacks_file_name, \
"delimiter": snacks_delimiter, "skip_leading_rows": snacks_skip_leading_rows, \
"schema_full": snacks_schema_full, "schema": snacks_schema},
dag=dag)
ingest_start >> create_dataset_raw >> air_carriers_raw >> ingest_end
ingest_start >> create_dataset_raw >> bird_airports_raw >> ingest_end
ingest_start >> create_dataset_raw >> faker_airports_raw >> ingest_end
ingest_start >> create_dataset_raw >> airlines_raw >> ingest_end
ingest_start >> create_dataset_raw >> meals_raw >> ingest_end
ingest_start >> create_dataset_raw >> snacks_raw >> ingest_end