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170 | 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=2024, month=5, day=28).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": "4g",
"spark.yarn.maxAppAttempts": 1,
"spark.network.timeout": 1000000,
"spark.executor.heartbeatInterval" : 1000000
},
'executor_cores': 4,
'executor_memory': '6g',
'name': '{{ task_instance.task_id }}',
'driver_memory': '6g',
}
dag = DAG(
dag_id='multi_interest_tv',
description='multi-interest tv',
default_args=default_args,
schedule_interval='10 07 * * *',#30 05
)
get_vip_users = BashOperator(
task_id='get_vip_users',
bash_command="cd /data/gangyanyuan/terry/terry-recsys-2024/multi-interest/script/movie_tv && /data/dev/miniconda/envs/deepmatch/bin/python 0_get_vip_users.py",
depends_on_past =False,
dag=dag,
)
get_pretrained_text_embedding_vip = BashOperator(
task_id='get_pretrained_text_embedding_vip',
bash_command="cd /data/gangyanyuan/terry/terry-recsys-2024/multi-interest/script/movie_tv && /data/dev/miniconda/envs/deepmatch/bin/python get_pretrained_text_embedding_vip.py --channel tv",
depends_on_past =False,
dag=dag,
)
# get_pretrained_image_embedding_vip = BashOperator(
# task_id='get_pretrained_image_embedding_vip',
# bash_command="cd /data/gangyanyuan/terry/terry-recsys-2024/multi-interest/script/movie_tv && /data/dev/miniconda/envs/deepmatch/bin/python get_pretrained_image_embedding_vip.py --channel tv",
# depends_on_past =False,
# dag=dag,
# )
update_training_data_movie_tv_60days = BashOperator(
task_id='update_training_data_movie_tv_60days',
bash_command="cd /data/gangyanyuan/terry/terry-recsys-2024/multi-interest/script/movie_tv && /data/dev/miniconda/envs/deepmatch/bin/python 2_1_update_training_data_movie_tv_60days.py --channel tv",
depends_on_past =False,
dag=dag,
)
generate_diffurec_dataset_tv = BashOperator(
task_id='generate_diffurec_dataset_tv',
bash_command="cd /data/gangyanyuan/terry/terry-recsys-2024/multi-interest/script/movie_tv && /data/dev/miniconda/envs/deepmatch/bin/python 3_generate_diffurec_dataset_movie_tv.py --dataset tv --channel tv",
depends_on_past =False,
dag=dag,
)
get_pretrained_text_embedding = BashOperator(
task_id='get_pretrained_text_embedding',
bash_command="cd /data/gangyanyuan/terry/terry-recsys-2024/multi-interest/script/movie_tv && /data/dev/miniconda/envs/deepmatch/bin/python get_pretrained_text_embedding.py --channel tv",
depends_on_past =False,
dag=dag,
)
pca_text = BashOperator(
task_id='pca_text',
bash_command="cd /data/gangyanyuan/terry/terry-recsys-2024/multi-interest/script && /data/dev/miniconda/envs/deepmatch/bin/python pca.py --dataset tv --text_feat",
depends_on_past =False,
dag=dag,
)
train_diffurec_tv = BashOperator(
task_id='train_diffurec_tv',
bash_command="cd /data/gangyanyuan/terry/terry-recsys-2024/multi-interest/DiffuRec/src_v2 && /data/dev/miniconda/envs/pt1.0/bin/python main_daily_movie_tv.py --dataset tv --max_len 10",
depends_on_past =False,
dag=dag,
)
generate_inference_dataset_tv = BashOperator(
task_id='generate_inference_dataset_tv',
bash_command="cd /data/gangyanyuan/terry/terry-recsys-2024/multi-interest/script/movie_tv && /data/dev/miniconda/envs/deepmatch/bin/python 4_generate_inference_dataset_movie_tv.py --dataset tv --channel tv",
depends_on_past =False,
dag=dag,
)
generate_diffurec_recall_result_tv = BashOperator(
task_id='generate_diffurec_recall_result_tv',
bash_command="cd /data/gangyanyuan/terry/terry-recsys-2024/multi-interest/script/movie_tv && /data/dev/miniconda/envs/pt1.0/bin/python 6_generate_diffurec_recall_result_movie_tv.py --dataset tv --max_len 10",
depends_on_past =False,
dag=dag,
)
## vip
generate_diffurec_dataset_tv_vip = BashOperator(
task_id='generate_diffurec_dataset_tv_vip',
bash_command="cd /data/gangyanyuan/terry/terry-recsys-2024/multi-interest/script/movie_tv/vip && /data/dev/miniconda/envs/deepmatch/bin/python 3_generate_diffurec_dataset_movie_tv_vip.py --dataset tv --channel tv",
depends_on_past =False,
dag=dag,
)
pca_text_vip = BashOperator(
task_id='pca_text_vip',
bash_command="cd /data/gangyanyuan/terry/terry-recsys-2024/multi-interest/script && /data/dev/miniconda/envs/deepmatch/bin/python pca_vip.py --dataset tv --text_feat",
depends_on_past =False,
dag=dag,
)
train_diffurec_tv_vip = BashOperator(
task_id='train_diffurec_tv_vip',
bash_command="cd /data/gangyanyuan/terry/terry-recsys-2024/multi-interest/DiffuRec/src_v2 && /data/dev/miniconda/envs/pt1.0/bin/python main_daily_vip.py --dataset tv --max_len 10",
depends_on_past =False,
dag=dag,
)
generate_inference_dataset_tv_vip = BashOperator(
task_id='generate_inference_dataset_tv_vip',
bash_command="cd /data/gangyanyuan/terry/terry-recsys-2024/multi-interest/script/movie_tv/vip && /data/dev/miniconda/envs/deepmatch/bin/python 4_generate_inference_dataset_movie_tv_vip.py --dataset tv --channel tv",
depends_on_past =False,
dag=dag,
)
generate_diffurec_recall_result_tv_vip = BashOperator(
task_id='generate_diffurec_recall_result_tv_vip',
bash_command="cd /data/gangyanyuan/terry/terry-recsys-2024/multi-interest/script/movie_tv/vip && /data/dev/miniconda/envs/pt1.0/bin/python 6_generate_diffurec_recall_result_movie_tv_vip.py --dataset tv --max_len 10",
depends_on_past =False,
dag=dag,
)
merge_xsimgcl_recall_tv_novip = BashOperator(
task_id='merge_xsimgcl_recall_tv_novip',
bash_command="cd /data/gangyanyuan/terry/terry-recsys-2024/multi-interest/script/movie_tv && /data/dev/miniconda/envs/deepmatch/bin/python merge_xsimgcl_recall.py --group novip",
depends_on_past =False,
dag=dag,
)
# merge_xsimgcl_recall_tv_vip = BashOperator(
# task_id='merge_xsimgcl_recall_tv_vip',
# bash_command="cd /data/gangyanyuan/terry/terry-recsys-2024/multi-interest/script/movie_tv && /data/dev/miniconda/envs/deepmatch/bin/python merge_xsimgcl_recall.py --group vip",
# depends_on_past =False,
# dag=dag,
# )
save_tv_recall_to_hive = SparkSubmitOperator(
task_id='save_tv_recall_to_hive',
dag=dag,
**_config,
application= '/data/gangyanyuan/terry/terry-recsys-2024/multi-interest/script/movie_tv/save_tv_recall_to_hive_v2.py',
conn_id = "spark_local",
)
get_vip_users >> update_training_data_movie_tv_60days >> generate_diffurec_dataset_tv >> get_pretrained_text_embedding >> pca_text >> train_diffurec_tv >> generate_inference_dataset_tv >> generate_diffurec_recall_result_tv >> merge_xsimgcl_recall_tv_novip
update_training_data_movie_tv_60days >> generate_diffurec_dataset_tv_vip >> get_pretrained_text_embedding_vip >> pca_text_vip >> train_diffurec_tv_vip >> generate_inference_dataset_tv_vip >> generate_diffurec_recall_result_tv_vip #>> merge_xsimgcl_recall_tv_vip
[merge_xsimgcl_recall_tv_novip, generate_diffurec_recall_result_tv_vip] >> save_tv_recall_to_hive
#[merge_xsimgcl_recall_tv_novip, merge_xsimgcl_recall_tv_vip] >> save_tv_recall_to_hive
|