def migrate_uk_data(filepaths, multi=False):
issues = []
filedata = get_file_data(filepaths, multi)
offer_ids_list = filedata.Tour__c1.EOSId__c.tolist()
data = ObjDict(get_eos_data(offer_ids_list))
duplicate_tourids = filedata.Tour__c1[filedata.Tour__c1.duplicated('EOSId__c', False)][['EOSId__c', 'Source_File']]
duplicate_tourids['Issue'] = 'Tour EOS Id in >1 Source File'
issues.append(duplicate_tourids)
filedata.Tour__c1.drop_duplicates(subset='EOSId__c', inplace=True)
data.update(filedata)
data.Tour__c = data.Tour__c.merge(data.Tour__c1, on=['EOSId__c'], how='outer', suffixes=['_EOS',None], indicator=True)
data.Tour__c['RecordTypeId'] = data.Tour__c['RecordType.Name'].apply(lambda x: session.record_type_id_mapper()('Tour__c', x).Id)
data.TourDeal__c = (
data.TourDeal__c.merge(data.TourDeal__c1, on=['SourceSystemId__c'], how='outer', suffixes=['_EOS',None], indicator=True)
.query("_merge != 'left_only'")
.drop(columns='_merge')
)
data.TourLeg__c = (
data.TourLeg__c.merge(data.TourLeg__c1, on=['SourceSystemId__c'], how='outer', suffixes=['_EOS',None], indicator=True)
.query("_merge != 'left_only'")
.drop(columns='_merge')
)
data.Event__c = data.Event__c.merge(data.Event__c1, on='EOSId__c', suffixes=['_EOS',None], indicator=True)
data.Deal__c = data.Deal__c.merge(data.Deal__c1, on='Event__r.EOSId__c', suffixes=['_EOS',None], indicator=True)
del data['Tour__c1']
del data['TourDeal__c1']
del data['TourLeg__c1']
del data['Event__c1']
del data['Deal__c1']
set_computed_fields(data)
data.Issues = pd.concat(data.Issues + issues + migration_data_issues(data))
pdh.to_excel(data, f'{folder}OUTPUT - UK Data to Migrate.xlsx')
# Questions:
# Add Deductions?
if True or prompt('Ready to migrate data to Rome?', boolean=True):
session.add_bypass_settings()
results = {}
def upsert(func, *args, **kwargs):
results[args[0]] = func(*args, **kwargs)
upsert(session.upsert, 'Tour__c', data.Tour__c, 'EOSId__c')
upsert(session.upsert, 'TourDeal__c', data.TourDeal__c, 'SourceSystemId__c')
upsert(session.upsert, 'TourLeg__c', data.TourLeg__c, 'SourceSystemId__c')
upsert(session.upsert, 'TourOnSale__c', data.TourOnSale__c, 'SourceSystemId__c')
event_results = session.create_events(data, upsert_field_names={
'Event__c': 'EOSId__c'
, 'EventDateTime__c': 'SourceSystemId__c'
, 'Deal__c': 'SourceSystemId__c'
, 'TicketScale__c': 'EOSId__c'
# , 'Deduction__c': 'SourceSystemId__c'
, 'LedgerEntry__c': 'SourceSystemId__c'
, 'LedgerEntryBreakout__c': 'SourceSystemId__c'
})
upsert(session.upsert, 'EventOnSale__c', data.EventOnSale__c, 'SourceSystemId__c')
session.remove_bypass_settings()
success_results = {obj: result.success for obj, result in results.items()}
success_results.update(event_results.success)
error_results = {obj: result.errors for obj, result in results.items()}
error_results.update(event_results.errors)
pdh.to_excel({f'{key} ({len(val)})':val for key,val in success_results.items()}, f'{folder}OUTPUT - UK Data Migration Results - SUCCESS.xlsx')
pdh.to_excel({f'{key} ({len(val)})':val for key,val in error_results.items()}, f'{folder}OUTPUT - UK Data Migration Results - ERROR.xlsx')
print('')
return
def get_eos_data(offer_ids_list):
data = ObjDict()
sql = SQL_Server_API('EOS-prod')
whereClause = """
WHERE o.Id IN ({})
""".format(",".join(offer_ids_list))
# -- AND o.RomeId IS NULL
rome_data = ObjDict({
'User': threading.new(session.select, "SELECT Id, EOSId__c FROM User WHERE EOSId__c <> NULL", return_type='dataframe', mute=True)
, 'Account': threading.new(session.select, "SELECT Id, EOSId__c FROM Account WHERE EOSId__c <> NULL AND RecordType.Name IN ('Venue','Artist','Agency','Office')", return_type='dataframe', mute=True)
, 'Contact': threading.new(session.select, "SELECT Id, EOSId__c FROM Contact WHERE EOSId__c <> NULL", return_type='dataframe', mute=True)
})
stageSQL = open(stageSQLFile, 'r', encoding='utf-8-sig').read().replace("QUERY_WHERE_CLAUSE_HERE", whereClause)
querySQL = open(querySQLFile, 'r', encoding='utf-8-sig').read()
tourOnSalesQuerySQL = open(tourOnSalesQuerySQLFile, 'r', encoding='utf-8-sig').read().replace("QUERY_WHERE_CLAUSE_HERE", whereClause)
eventOnSalesQuerySQL = open(eventOnSalesQuerySQLFile, 'r', encoding='utf-8-sig').read().replace("QUERY_WHERE_CLAUSE_HERE", whereClause)
print("EOS queries in progress")
sql.query(stageSQL, cast_to_string=True)
rows = sql.query(querySQL, cast_to_string=True)
tourOnSales = sql.query(tourOnSalesQuerySQL, cast_to_string=True)
eventOnSales = sql.query(eventOnSalesQuerySQL, cast_to_string=True)
print("EOS queries complete")
df1 = pd.DataFrame(rows)
df2 = pd.DataFrame(tourOnSales)
df3 = pd.DataFrame(eventOnSales)
df1["Tour__c.OldTourName"] = df1["Tour__c.TourName__c"]
# df1["Tour__c.TourName__c"] = df1["Tour__c.TourName__c"].apply(html.unescape)
df1 = df1.apply(html.unescape)
def set_blank_ts_type(row):
# desc = row['TicketScale__c.Notes__c']
if row['TicketScale__c.Type__c'] == '':
return f'PL{row["TicketScale__c.PriceLevelRank"]}'
return row['TicketScale__c.Type__c']
df1['TicketScale__c.Type__c'] = df1.apply(set_blank_ts_type, axis=1)
cols_to_string = [] + [c for c in list(df1.columns)+list(df2.columns) if 'EOSId' in c or 'SourceSystemId' in c]
for col in cols_to_string:
if col in df1:
df1[col] = df1[col].astype(str).replace('\.0','',regex=True)
if col in df2:
df2[col] = df2[col].astype(str).replace('\.0','',regex=True)
if col in df3:
df3[col] = df3[col].astype(str).replace('\.0','',regex=True)
data.Issues = []
eosidcolumns = [
c for c in df1.columns.values
if '__r.EOSId__c' in c
and 'Tour__r.EOSId__c' not in c
and 'Event__r.EOSId__c' not in c
and 'TicketBand__r.EOSId__c' not in c]
eosids = set(df1[eosidcolumns].to_numpy().flatten())
romeeosids = set()
for d in rome_data.values():
if len(d.result()) > 0:
romeeosids.update(d.result()['EOSId__c'].tolist())
missingeosids = {item for item in eosids if item not in romeeosids and item != ''}
data.Issues.append(pd.DataFrame([
{'Issue': 'Rome is missing Master Data', 'EOSId__c': item} for item in missingeosids
]).sort_values(by='EOSId__c'))
for item in missingeosids:
df1[eosidcolumns] = df1[eosidcolumns].replace(item, '')
# pdh.to_excel({
# 'FULL': df1
# , 'Tour Onsales': df2
# , 'Event Onsales': df3
# }, 'UK EOS Data Raw.xlsx')
data.Tour__c = (
df1[[c for c in df1 if 'Tour__c.' in c]]
.drop_duplicates(subset='Tour__c.EOSId__c')
.copy()
)
data.TourDeal__c = (
df1[[c for c in df1 if 'TourDeal__c.' in c]]
.drop_duplicates(subset='TourDeal__c.Tour__r.EOSId__c')
.copy()
)
data.TourLeg__c = (
df1[[c for c in df1 if 'TourLeg__c.' in c]]
.drop_duplicates(subset='TourLeg__c.Tour__r.EOSId__c')
.copy()
)
data.Event__c = (
df1[[c for c in df1 if 'Event__c.' in c]]
.drop_duplicates(subset='Event__c.EOSId__c')
.copy()
)
data.EventDateTime__c = (
df1[[c for c in df1 if 'EventDateTime__c.' in c]]
.drop_duplicates(subset='EventDateTime__c.SourceSystemId__c')
.copy()
)
data.Deal__c = (
df1[[c for c in df1 if c.startswith('Deal__c.')]]
.drop_duplicates(subset='Deal__c.SourceSystemId__c')
.copy()
)
data.TicketScale__c = (
df1[[c for c in df1 if 'TicketScale__c.' in c]]
.drop_duplicates(subset='TicketScale__c.EOSId__c')
.copy()
)
data.TourOnSale__c = df2
data.EventOnSale__c = df3
rename(data.Tour__c, 'Tour__c')
rename(data.TourDeal__c, 'TourDeal__c')
rename(data.TourLeg__c, 'TourLeg__c')
rename(data.Event__c, 'Event__c')
rename(data.EventDateTime__c, 'EventDateTime__c')
rename(data.Deal__c, 'Deal__c')
rename(data.TicketScale__c, 'TicketScale__c')
return data
