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from airflow import DAG
from airflow.utils.dates import days_ago
from airflow.models import Variable
from airflow import AirflowException
from airflow.operators.python_operator import PythonOperator
import pandas as pd
from datetime import datetime
import json
import gc
from os import environ as os_environ
from os import path as os_path
import sys
import uuid
# --Invoke utility based function
from utils.setCassandraDBConnection import setCassandraDBConnection
from utils.setDbEngine import setDbEngine
def getConfiguration(__file__):
from configparser import ConfigParser as conf_ConfigParser
print("DAG __file__ : %s" % __file__)
# Entity-Interaction
configProperties = conf_ConfigParser()
configFile = __file__.replace('/dags/', '/config/').replace('.py', '.config')
if not os_path.exists(configFile):
print("Entity config file does not exist.")
print("Entity config File: %s" % configFile)
configProperties.read(configFile)
# Entity-Generic
configMainProperties = conf_ConfigParser()
configMainFile = __file__.replace('/dags/', '/config/')
configMainFile = configMainFile[:configMainFile.find("_")] + ".config"
if not os_path.exists(configMainFile):
print("Entity generic config file does not exist.")
print("Config File : %s" % configMainFile)
configMainProperties.read(configMainFile)
return (configProperties, configMainProperties)
def func_pandas_factory(colnames, rows):
return pd.DataFrame(rows, columns=colnames)
def checkDag():
adminVariableValue = {}
overide = ""
adminVariableValue = None
configProperties, configMainProperties = getConfiguration(__file__)
if Variable.get("odsBulkMigration_Interaction", None):
adminVariableValue = Variable.get("odsBulkMigration_Interaction", None)
print('Airflow UI variable value assigned {odsBulkMigration_Interaction: %s}' % adminVariableValue)
if not adminVariableValue:
raise Exception("adminVariableValue{odsBulkMigration_Interaction} value not set.")
adminVariableValue = json.loads(adminVariableValue)
if "overRide" in adminVariableValue:
if 'overRide' in adminVariableValue.keys() and adminVariableValue['overRide'] == 'YES' or 'NO' and \
adminVariableValue['overRide'] != "":
overide = adminVariableValue['overRide']
elif configProperties.has_option("config", "overRide"):
overide = configProperties.get("config", "overRide")
elif adminVariableValue['overRide'] == "":
overide = 'NO'
else:
print("overRide flag not set")
elif configProperties.has_option("config", "overRide"):
overide = configProperties.get("config", "overRide")
else:
overide = 'NO'
return overide
def dataPopulate(tableName, dfValue, configMainProperties, fileSuffix=None):
from subprocess import Popen, PIPE
try:
print("Preparing files for data population")
fileSuffix = tableName + fileSuffix if fileSuffix else tableName
cassPath = os_environ.get('CASSANDRA_HOME')
cassCsvFile = os_environ.get('AIRFLOW_HOME') + '/logs/odsBulkMigration_Interaction/' + fileSuffix + '.csv'
cassCqlldr = os_environ.get('AIRFLOW_HOME') + '/logs/odsBulkMigration_Interaction/' + fileSuffix + '.cqlldr'
cassClog = os_environ.get('AIRFLOW_HOME') + '/logs/odsBulkMigration_Interaction/' + fileSuffix + '.clog'
cassCErr = os_environ.get('AIRFLOW_HOME') + '/logs/odsBulkMigration_Interaction/' + fileSuffix + '.cerr'
print("cassCsvFile: %s" % cassCsvFile)
print("cassCqlldr : %s" % cassCqlldr)
print("cassClog : %s" % cassClog)
print("cassCErr : %s" % cassCErr)
dfValue.to_csv(sep='|', header=True, index=False, path_or_buf=cassCsvFile)
cassCols = list(dfValue)
cassCols = ','.join(cassCols)
cassCqlldr_W = open(cassCqlldr, "w")
cassCqlldr_W.write("copy hobs_ods_staging." + tableName + " (" + cassCols + ") FROM '" + cassCsvFile + "'"
+ " WITH DELIMITER='|' AND ERRFILE='" + cassCErr + "'"
+ " AND HEADER=True "
+ " AND MAXATTEMPTS=1"
+ " AND MINBATCHSIZE=1 AND MAXBATCHSIZE=1 AND PAGESIZE=10 "
+ ";")
cassCqlldr_W.close()
print("Cassandra loader process")
shellCommand = cassPath + '/bin/cqlsh ' + configMainProperties.get('cassandra', 'host', raw=True) + ' ' \
+ configMainProperties.get('cassandra', 'port', raw=True) \
+ ' -u ' + configMainProperties.get('cassandra', 'username', raw=True) \
+ ' -p ' + configMainProperties.get('cassandra', 'password', raw=True) \
+ ' -k ' + configMainProperties.get('cassandra', 'keyspace', raw=True) \
+ ' -f ' + cassCqlldr + ' > ' + cassClog
shellProcess = Popen(shellCommand, stdin=PIPE, stdout=PIPE, stderr=PIPE, shell=True)
shellOutput, shellErr = shellProcess.communicate()
shellReturnCode = shellProcess.returncode
shellPid = str(shellProcess.pid)
print("cassandra dataload processId: %s" % shellPid)
print("shellProcess.returncode : %s" % shellReturnCode)
print("shellOutput : %s" % shellOutput)
print("shellErr : %s" % shellErr)
if shellReturnCode == 0:
return True
else:
raise Exception("ODS data store load failed")
gc.collect()
return True
except Exception as expCDB:
gc.collect()
print("Error - {} . Line No - {} ".format(str(expCDB), str(sys.exc_info()[-1].tb_lineno)))
return False
# def fn_processInteraction():
# __file__="/app/server/HOBS-DataPipeline/dags/odsBulkMigration/odsBulkMigration_Interaction.py"
def fn_processInteraction(**kwargs):
try:
entity = 'Interaction'
dagIdVar = os_path.basename(__file__).replace(".py", "")
adminVariableValue = {}
cassPath = os_environ.get('CASSANDRA_HOME')
dfDataSet = pd.DataFrame()
dfMigMasterFailed = pd.DataFrame()
failedEntities = {}
over_ride = checkDag()
if not cassPath:
raise Exception("CASSANDRA_HOME not configured.")
# Configuration Properties
configProperties, configMainProperties = getConfiguration(__file__)
print("configMainProperties")
print(configMainProperties.sections())
print("configProperties")
print(configProperties.sections())
opId = configMainProperties.get("config", "opId")
buId = configMainProperties.get("config", "buId")
dateTimeFormat = configMainProperties.get("config", "dateTimeFormat", raw=True)
dateFormat = configMainProperties.get("config", "dateFormat", raw=True)
entityType = json.loads(configProperties.get("config", "entityType"))
adminVariableValue = None
dfDataSet = pd.DataFrame()
dfMigMasterFailed = pd.DataFrame()
failedEntities = {}
cassPath = os_environ.get('CASSANDRA_HOME')
if Variable.get("odsBulkMigration_Interaction", None):
adminVariableValue = Variable.get("odsBulkMigration_Interaction", None)
print('Airflow UI variable value assigned {odsBulkMigration_Interaction: %s}' % adminVariableValue)
if not adminVariableValue:
raise Exception("adminVariableValue{odsBulkMigration_Interaction} value not set.")
adminVariableValue = json.loads(adminVariableValue)
if 'entityId' in adminVariableValue.keys() and adminVariableValue['entityId'] == 'Interaction':
entityId = adminVariableValue['entityId']
else:
raise Exception("entityId not set or entityId is not Interaction.")
if ('batchId' in adminVariableValue.keys() and adminVariableValue['batchId'] != ''):
batchId = int(adminVariableValue['batchId'])
print("batchId: %s [UI defined]" % batchId)
else:
raise Exception("batchId not present or batchId value is not valid")
if not cassPath:
raise Exception("CASSANDRA_HOME not configured.")
if ('opId' in adminVariableValue.keys() and adminVariableValue['opId']):
opId = adminVariableValue['opId']
print("opId : %s [UI defined]" % opId)
if ('buId' in adminVariableValue.keys() and adminVariableValue['buId']):
buId = adminVariableValue['buId']
print("buId : %s [UI defined]" % buId)
# Cassandra database connection
##dbConnectRetVal = setCassandraDBConnection(configMainProperties)
# --Invoke utility based function
dbConnectRetVal = setCassandraDBConnection(pandas_enabled=True)
if not dbConnectRetVal[0]:
raise Exception("Cassandra database connection failed: " + dbConnectRetVal[1])
cassDbSession = dbConnectRetVal[1]
print("Cassandra database connection established")
# Source database connection
# dbConnectRetVal = setSourceConnection(configMainProperties)
# --Invoke utility based function
dbConnectRetVal = setDbEngine()
if not dbConnectRetVal[0]:
raise Exception("Source database connection failed: " + dbConnectRetVal[1])
sourceDbEngine = dbConnectRetVal[1]
print("Source database connection established")
print("opId : %s" % opId)
print("buId : %s" % buId)
print("cassPath : %s" % cassPath)
for indx in entityType:
if configProperties.has_section(indx):
print("-------- PROCESSING ENTITY: %s ----------------" % indx)
if configProperties.has_option(indx, "datasets"):
dataset = json.loads(configProperties.get(indx, "datasets"))
print("dataset: %s" % dataset)
if configProperties.has_option(indx, "datasets"):
dataset = json.loads(configProperties.get(indx, "datasets"))
print("dataset: %s" % dataset)
for indxDS in dataset:
if over_ride == 'YES' and indxDS == 'stageData':
continue # skip stageData dataset processing
print("--- Processing dataset: %s" % indxDS)
query = configProperties.get(indx, indxDS + ".query", raw=True)
columnsForComparison = json.loads(configProperties.get(indx, indxDS + ".columnsForComparison"))
lkupColumns = json.loads(configProperties.get(indx, indxDS + ".lkupColumns"))
joinCondition = configProperties.get(indx, indxDS + ".joinCondition", raw=True)
primaryKey = configProperties.get(indx, indxDS + ".primaryKey",
raw=True) if configProperties.has_option(indx,
indxDS + ".primaryKey") else None
dateTimeColumns = json.loads(
configProperties.get(indx, indxDS + ".dateTimeColumns")) if configProperties.has_option(
indx, indxDS + ".dateTimeColumns") else []
dateColumns = json.loads(
configProperties.get(indx, indxDS + ".dateColumns")) if configProperties.has_option(indx,
indxDS + ".dateColumns") else []
columnsToRemove = json.loads(
configProperties.get(indx, indxDS + ".columnsToRemove")) if configProperties.has_option(
indx, indxDS + ".columnsToRemove") else []
connDatabase = configProperties.get(indx, indxDS + ".database",
raw=True) if configProperties.has_option(indx,
indxDS + ".database") else None
columnsToInt = json.loads(
configProperties.get(indx, indxDS + ".columnsToInt")) if configProperties.has_option(indx,
indxDS + ".columnsToInt") else []
columnsToText = json.loads(
configProperties.get(indx, indxDS + ".columnsToText")) if configProperties.has_option(indx,
indxDS + ".columnsToText") else []
if 'homm_batch' in query.lower():
query = (configProperties.get(indx, indxDS + ".query", raw=True) % (batchId))
elif "op_id='%s'" in query.lower().replace(' ', '') and "bu_id='%s'" in query.lower().replace(
' ', ''):
query = (configProperties.get(indx, indxDS + ".query", raw=True) % (opId, buId))
print("Query : %s" % query)
print("columnsForComparison: %s" % columnsForComparison)
print("lkupColumns : %s" % lkupColumns)
print("joinCondition : %s" % joinCondition)
print("primaryKey : %s" % primaryKey)
print("dateTimeColumns : %s" % dateTimeColumns)
print("dateColumns : %s" % dateColumns)
print("columnsToInt : %s" % columnsToInt)
print("columnsToText : %s" % columnsToText)
print("connDatabase : %s" % connDatabase)
if indxDS == "stageData":
dfSrcData = cassDbSession.execute(query, timeout=1000)
dfSrcData = dfSrcData._current_rows
dfSrcData.columns = dfSrcData.columns.str.lower()
print("dfSrcData", type(dfSrcData))
print("Extracted : %s [%s]" % (len(dfSrcData), indxDS))
if len(dfSrcData) == 0:
raise Exception("Entity Interaction not stagged for batch[%s]" % batchId)
dfSrcData['homm_entity_value'] = dfSrcData['homm_entity_value'].astype(str)
dfDataSet = dfSrcData.copy().loc[(dfSrcData['homm_entity_status'] == 'staged')]
print("homm_entity_status : %s [Filter]" % (len(dfDataSet)))
if len(dfDataSet) == 0:
raise Exception(
"Entity Interaction not stagged for batch[%s] after filter=staged" % batchId)
dfMigMasterFailed = dfSrcData.copy()
else:
if not (len(lkupColumns) > 0 and len(columnsForComparison) > 0 and joinCondition):
raise Exception(
"Merge entity lkupColumns/columnsForComparison/joinCondition not defined properly")
dfSrcData = pd.read_sql(query, con=sourceDbEngine)
dfSrcData.columns = dfSrcData.columns.str.lower()
print("Extracted : %s [%s]" % (len(dfSrcData), indxDS))
if len(dfSrcData) == 0:
raise Exception("Entity Interaction failed in traversing datasets.")
if 'hosi_account_extn_attributes' in list(dfSrcData):
for indx, row in dfSrcData.copy().iterrows():
try:
extnVal = {}
temp = json.loads(row['hosi_account_extn_attributes']) if row[
'hosi_account_extn_attributes'] else []
for v in temp:
try:
if 'attributeName' in v and 'attributeValue' in v and v[
'attributeValue']:
extnVal.update({v['attributeName']: v['attributeValue']})
except Exception as errx:
print("Error - {} . Line No - {} ".format(str(errx), str(
sys.exc_info()[-1].tb_lineno)))
if len(extnVal) > 0:
dfSrcData.at[indx, 'hosi_account_extn_attributes'] = extnVal
except Exception as err:
print("Error - {} . Line No - {} ".format(str(err),
str(sys.exc_info()[-1].tb_lineno)))
if primaryKey:
dfSrcData[primaryKey] = uuid.uuid4()
dfSrcData[primaryKey] = dfSrcData[primaryKey].apply(lambda _: uuid.uuid4())
for indxDateTimCol in dateTimeColumns:
# dfSrcData[indxDateTimCol] = dfSrcData[indxDateTimCol].dt.strftime(dateTimeFormat)
dfSrcData[indxDateTimCol] = dfSrcData[indxDateTimCol].dt.strftime(dateTimeFormat).where(
dfSrcData[indxDateTimCol].notnull(), None)
for indxDateCol in dateColumns:
dfSrcData[indxDateCol] = dfSrcData[indxDateCol].dt.strftime(dateFormat).where(
dfSrcData[indxDateCol].notnull(), None)
for indxCharCol in columnsToInt:
dfSrcData[indxCharCol] = pd.to_numeric(dfSrcData[indxCharCol], errors='coerce')
for indxMiscelCol in columnsToText:
dfSrcData[indxMiscelCol] = dfSrcData[indxMiscelCol].astype(str)
print("dfDataSet : %s [Before Merge]" % len(dfDataSet))
dfDataSet = dfDataSet.copy().merge(dfSrcData
, how=joinCondition
, left_on=lkupColumns
, right_on=columnsForComparison
)
print("dfDataSet : %s [After Merge]" % len(dfDataSet))
print("Columns : %s" % (list(dfDataSet)))
if len(dfDataSet) == 0:
raise Exception("LOST RECORDS POST MERGE")
dfDataSet.drop_duplicates(subset=None, keep='first', inplace=True)
if indxDS != 'interaction':
if len(columnsToRemove) > 0:
print("columnsToRemove : %s {%s}" % (columnsToRemove, type(columnsToRemove)))
dfDataSet.drop(columnsToRemove, axis=1, inplace=True)
# endFor==dataset
else:
failedEntities.update({indx: "datasets section not found"})
else:
failedEntities.update({indx: "entityInteraction section not found"})
# endFor==>entityType
# DataLoading and update Status
if len(failedEntities):
raise Exception("Failed entities: " + str({k: v for k, v in failedEntities.items()}))
elif len(dfDataSet) == 0:
raise Exception("NO RECORDS TO PROCESS")
else:
print("dfDataSet : type{%s}" % type(list(dfDataSet)))
print(list(dfDataSet))
print("")
print("Total : %s" % len(dfDataSet))
tableName = 'hos_interaction'
if not dataPopulate(tableName
, dfDataSet
, configMainProperties
, "_" + str(batchId)):
raise Exception("ODS data store load failed.")
print("Cassandra dataload submitted")
tableName = 'hos_migration_master'
dfDataSet['homm_entity_value'] = dfDataSet['hosi_interaction_id']
dfDataSet['homm_batch'] = batchId
dfDataSet['homm_entity_id'] = 'interaction'
dfDataSet['homm_entity_status'] = 'odsStaged'
dfDataSet['homm_updated_on'] = datetime.strftime(datetime.utcnow(), dateTimeFormat)
if not dataPopulate(tableName
, dfDataSet[['homm_entity_id', 'homm_entity_status', 'homm_batch', 'homm_updated_on',
'homm_entity_value']]
, configMainProperties
, "_" + str(batchId)):
raise Exception("Staging master odsStaged update failed")
dfDataSet['homm_entity_value'] = dfDataSet['homm_entity_value'].astype(str)
dfMigMasterFailed = dfMigMasterFailed[['homm_entity_value']].merge(dfDataSet[['homm_entity_value']]
, how='left'
, on=['homm_entity_value']
, indicator=True
).loc[lambda x: x['_merge'] != 'both']
print("dfMigMasterFailed : %s" % len(dfMigMasterFailed))
dfMigMasterFailed['homm_batch'] = batchId
dfMigMasterFailed['homm_entity_id'] = 'interaction'
dfMigMasterFailed['homm_entity_status'] = 'odsFailed'
dfMigMasterFailed['homm_updated_on'] = datetime.strftime(datetime.utcnow(), dateTimeFormat)
if not dataPopulate(tableName
, dfMigMasterFailed[['homm_entity_id', 'homm_entity_status', 'homm_batch',
'homm_entity_value']]
, configMainProperties
, "_" + str(batchId) + "_Failed"):
raise Exception("Staging master odsFailed update failed")
# endIf
print("SUCCESS")
gc.collect()
except Exception as exp:
gc.collect()
print("Error - {} . Line No - {} ".format(str(exp), str(sys.exc_info()[-1].tb_lineno)))
raise AirflowException(str(exp))
# ********************* DAG Tasks********************************************************************************************#
default_args = {'owner': 'airflow'
, 'depends_on_past': False
, 'start_date': days_ago(2)
}
dag = DAG("odsBulkMigration_Interaction"
, catchup=False
, default_args=default_args
, description="odsBulkMigration_Interaction"
, schedule_interval="@once"
, tags=["odsBulkMigration"]
)
operatorStageData = PythonOperator(task_id='task_odsBulkMigration_Interaction'
, python_callable=fn_processInteraction
, dag=dag
, provide_context=True
)
# ********************* DAG Sequence*******************************************************************************************#
operatorStageData
"""
if __name__ == '__main__':
fn_processInteraction()
"""