DAG: user_rationales

schedule: 00 11 * * *

user_rationales

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from airflow import DAG
from airflow.operators.bash_operator import BashOperator
from datetime import datetime, timedelta
from airflow.contrib.operators.spark_submit_operator import SparkSubmitOperator
from datetime import timedelta,datetime
import pendulum
import pytz

tz = pytz.timezone('Asia/Shanghai')

default_args = {
    'owner': 'Terry',
    'depends_on_past': False,
    'start_date': pendulum.datetime(year=2025, month=2, day=17).astimezone(tz),
    'email': ['tian23.li@tcl.com'],
    'email_on_failure': True,
    'email_on_retry': True,
    'retries': 2,
    'retry_delay': timedelta(minutes=8),
}

_config = {
    'conf': {
        'spark.executor.extraJavaOptions': '-XX:+UseConcMarkSweepGC',
        "spark.dynamicAllocation.minExecutors":8,
        "spark.dynamicAllocation.maxExecutors":8,
        "spark.yarn.executor.memoryOverhead":2648,
        "spark.driver.maxResultSize": "8g",
        "spark.yarn.maxAppAttempts": 1,
        "spark.network.timeout": 1000000,
        "spark.executor.heartbeatInterval" : 1000000
    },
    'executor_cores': 4,
    'executor_memory': '8g',
    'name': '{{ task_instance.task_id }}',
    
    'driver_memory': '8g',
}

dag = DAG(
    dag_id='user_rationales',
    description='user_rationales',
    default_args=default_args,
    schedule_interval='00 11 * * *',
)
user_clustering = BashOperator(
    task_id='user_clustering',
    bash_command="cd /data/gangyanyuan/terry/terry-recsys-2024/Reland/script && /data/dev/miniconda/envs/easyrec/bin/python 1_user_clustering.py",
    depends_on_past =False,
    dag=dag,
)
rec_rationales = BashOperator(
    task_id='rec_rationales',
    bash_command="cd /data/gangyanyuan/terry/terry-recsys-2024/Reland/script && /data/dev/miniconda/envs/easyrec/bin/python 2_rec_rationales.py",
    depends_on_past =False,
    dag=dag,
)
save_rationales_to_hive = SparkSubmitOperator(
    task_id='save_rationales_to_hive',
    dag=dag,
    **_config,
    application= '/data/gangyanyuan/terry/terry-recsys-2024/Reland/script/3_save_rationales_to_hive.py',
    conn_id = "spark_local",
)

user_clustering_vip = BashOperator(
    task_id='user_clustering_vip',
    bash_command="cd /data/gangyanyuan/terry/terry-recsys-2024/Reland/script/vip && /data/dev/miniconda/envs/easyrec/bin/python 1_user_clustering_vip.py",
    depends_on_past =False,
    dag=dag,
)
rec_rationales_vip = BashOperator(
    task_id='rec_rationales_vip',
    bash_command="cd /data/gangyanyuan/terry/terry-recsys-2024/Reland/script/vip && /data/dev/miniconda/envs/easyrec/bin/python 2_rec_rationales_vip.py",
    depends_on_past =False,
    dag=dag,
)
save_rationales_vip_to_hive = SparkSubmitOperator(
    task_id='save_rationales_vip_to_hive',
    dag=dag,
    **_config,
    application= '/data/gangyanyuan/terry/terry-recsys-2024/Reland/script/vip/3_save_rationales_vip_to_hive.py',
    conn_id = "spark_local",
)
user_clustering >> rec_rationales >> save_rationales_to_hive

rec_rationales >> user_clustering_vip >> rec_rationales_vip >> save_rationales_vip_to_hive