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if over_ride == 'NO':
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")
print(over_ride)
# 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)
for indxDS in dataset:
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 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 loadDataFrameToCassandra(connection_id="cassandrahost"
, table_name=tableName
, df_data=dfDataSet
, load_type_cqlldr=True
, dag_name=kwargs['dag_run'].dag_id
, file_suffix="_" + 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 loadDataFrameToCassandra(connection_id="cassandrahost"
, table_name=tableName
, df_data=dfDataSet[
['homm_entity_id', 'homm_entity_status', 'homm_batch', 'homm_updated_on',
'homm_entity_value']]
, load_type_cqlldr=True
, dag_name=kwargs['dag_run'].dag_id
, file_suffix="_" + 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 loadDataFrameToCassandra(connection_id="cassandrahost"
, table_name=tableName
, df_data=dfMigMasterFailed[
['homm_entity_id', 'homm_entity_status', 'homm_batch', 'homm_updated_on',
'homm_entity_value']]
, load_type_cqlldr=True
, dag_name='odsBulkMigration_Interaction'
, file_suffix="_" + str(batchId) + "_Failed"):
raise Exception("Staging master odsFailed update failed")
# endIf
print("SUCCESS")Editor is loading...