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On_tripadvisor_click_cost_ver2_schedule 0 9 ^^^.py
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On_tripadvisor_click_cost_ver2_schedule 0 9 ^^^.py
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Python 3.6.7rc1 (v3.6.7rc1:311101f7b6, Sep 26 2018, 16:33:24) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license()" for more information.
>>> from airflow import DAG
from airflow.operators.python_operator import PythonOperator
from airflow.operators import (
SlackHQOperator,
SFTPTripadvisorListDir,
SFTPTripadvisorDownload,
GCSListDir,
GCSUpload,
BigQueryLoad,
)
from google.cloud.bigquery.schema import SchemaField
from airflow.macros import datetime, ds_add, ds_format
import os
import logging
import pandas as pd
import numpy as np
import csv
import math
sftp_path_directory = '/home/hotelquickly/ClickCost'
PARENT_DAG = 'tripadvisor_click_cost_ver2'
dag = DAG(
dag_id=PARENT_DAG,
schedule_interval='0 9 * * *',
start_date=datetime(2018, 3, 15),
catchup=True,
default_args={
'retries': 0
})
def is_exist(needle, exist_list):
for key in exist_list:
if needle in key:
return True
return False
def sanity_check(**context):
sftp = context['task_instance'].xcom_pull(task_ids='sftp_listdir')
gcs = context['task_instance'].xcom_pull(task_ids='gcs_listdir')
date = context['execution_date']
short_date = date.strftime('%Y-%m-%d')
# short_date = ds_add(short_date, -1)
logging.info('execution_date: {}, ftp_date: {}'.format(date, short_date))
context['task_instance'].xcom_push(key='short_date', value=short_date)
short_date = short_date.replace('-', '_')
if not is_exist(short_date, sftp):
raise RuntimeError('Not found file in SFTP: {}'.format(sftp))
if is_exist(short_date, gcs):
logging.warning('File already exist in GCS: {}', gcs)
for k in sftp:
if short_date in k:
logging.info('{}'.format(k))
return '{}/{}'.format(sftp_path_directory, k)
raise RuntimeError('Not found date in SFTP: {}'.format(short_date))
def _parse_number(number):
try:
num = int(number)
except ValueError:
num = 0
return num
def is_nan(number):
if math.isnan(number):
return -1
else: return int(number)
def transform(**context):
temp_file_path_zip = context['task_instance'].xcom_pull(task_ids='sftp_download')
short_date = context['task_instance'].xcom_pull(task_ids='sanity_check', key='short_date')
temp_file_path_gzip = 'ClickCost-V04-HotelQuickly-' + short_date.replace('-', '_') + '.csv.gz'
column_name = ['report_date', 'location_id', 'ta_location_id', 'provider_name', 'silo_name', 'bucket_name',
'revenue_share', 'cost_in_usd', 'clicks']
df = pd.read_csv(temp_file_path_zip, names=column_name, compression='zip', delimiter=',', quoting=csv.QUOTE_NONE,
header=16)
df = df[df['report_date'] == short_date]
df.drop(labels=['bucket_name', 'revenue_share'], axis=1, inplace=True)
df['location_id'] = df['location_id'].apply(is_nan)
df['ta_location_id'] = df['ta_location_id'].apply(is_nan)
df['cost_in_usd'] = df['cost_in_usd'].apply(float)
df['cost_in_usd'] = df['cost_in_usd']/100
df['clicks'] = df['clicks'].apply(int)
df.to_csv(temp_file_path_gzip, sep=',', quoting=csv.QUOTE_NONE, index=False, compression='gzip')
return temp_file_path_gzip
def generate_gcs_remote_path(**context):
temp_file_path = context['task_instance'].xcom_pull(task_ids='transform')
file_name = temp_file_path.split('/')[-1]
dates = context['task_instance'].xcom_pull(task_ids='sanity_check', key='short_date').split('-')
return 'tripadvisor/CLICKCOST_DAILY/{}/{}/{}'.format(dates[0], dates[1], file_name)
def generate_bigquery_table_name(**context):
short_date = context['task_instance'].xcom_pull(task_ids='sanity_check', key='short_date')
shorter_date = short_date.replace('-', '')
return 'click_cost_{}'.format(shorter_date)
def cleanup(**context):
temp_file_path = context['task_instance'].xcom_pull(task_ids='transform')
os.remove(temp_file_path)
sftp_listdir_operation = SFTPTripadvisorListDir(
task_id='sftp_listdir',
on_failure_callback=SlackHQOperator.on_failure_general_callback,
path=sftp_path_directory,
startswith='ClickCost-V04-HotelQuickly-',
dag=dag)
gcs_listdir_operation = GCSListDir(
task_id='gcs_listdir',
on_failure_callback=SlackHQOperator.on_failure_general_callback,
bucket='hq-metasearch-report',
path='tripadvisor/CLICKCOST_DAILY',
startswith='ClickCost-V04-HotelQuickly-',
dag=dag)
sanity_check_operator = PythonOperator(
task_id='sanity_check',
on_failure_callback=SlackHQOperator.on_failure_general_callback,
python_callable=sanity_check,
provide_context=True,
dag=dag)
sftp_download_operator = SFTPTripadvisorDownload(
task_id='sftp_download',
on_failure_callback=SlackHQOperator.on_failure_general_callback,
path_xcom_task_id='sanity_check',
dag=dag)
transform_operator = PythonOperator(
task_id='transform',
on_failure_callback=SlackHQOperator.on_failure_general_callback,
python_callable=transform,
provide_context=True,
dag=dag)
generate_gcs_remote_path_operator = PythonOperator(
task_id='generate_gcs_remote_path',
on_failure_callback=SlackHQOperator.on_failure_general_callback,
python_callable=generate_gcs_remote_path,
provide_context=True,
dag=dag)
gcs_upload_operator = GCSUpload(
task_id='gcs_upload',
on_failure_callback=SlackHQOperator.on_failure_general_callback,
bucket='hq-metasearch-report',
local_path_xcom_task_id='transform',
remote_dir_xcom_task_id='generate_gcs_remote_path',
content_type='application/gzip',
dag=dag)
generate_bigquery_table_name_operator = PythonOperator(
task_id='generate_bigquery_table_name',
on_failure_callback=SlackHQOperator.on_failure_general_callback,
python_callable=generate_bigquery_table_name,
provide_context=True,
dag=dag)
bigquery_load_operator = BigQueryLoad(
task_id='bigquery_load',
on_failure_callback=SlackHQOperator.on_failure_general_callback,
dataset='metasearch_tripadvisor_report_raw',
table_xcom_task_id='generate_bigquery_table_name',
schema=[SchemaField('report_date', 'DATE'),
SchemaField('location_id', 'INTEGER'),
SchemaField('ta_location_id', 'INTEGER'),
SchemaField('provider_name', 'STRING'),
SchemaField('silo_name', 'STRING'),
SchemaField('cost_in_usd', 'FLOAT'),
SchemaField('clicks', 'INTEGER')],
gs_path_xcom_task_id='gcs_upload',
write_disposition='WRITE_TRUNCATE',
field_delimiter=',',
source_format='CSV',
skip_leading_rows=1,
dag=dag)
cleanup_operator = PythonOperator(
task_id='cleanup',
on_failure_callback=SlackHQOperator.on_failure_general_callback,
python_callable=cleanup,
provide_context=True,
dag=dag)
sftp_listdir_operation >> sanity_check_operator
gcs_listdir_operation >> sanity_check_operator
sanity_check_operator >> sftp_download_operator >> transform_operator
transform_operator >> generate_gcs_remote_path_operator >> gcs_upload_operator
gcs_upload_operator >> generate_bigquery_table_name_operator >> bigquery_load_operator
gcs_upload_operator >> cleanup_operator