def get(self):
dateref = self.request.get('dateref')
def prepare_and_send_email():
to = cfg['notification_email']
if not to:
logging.info("No notification email has been setup.")
return
sender = 'noreply@{}.appspotmail.com'.format(project_id)
subject = 'A BVI process has failed.'
image_link = "https://{}.appspot.com/images/google-cloud.png".format(project_id)
template_values = {
'project': project_id,
'day': dateref,
'image_link': image_link
}
template_path = 'email_templates/processfailure.html'
send_email(template_values, template_path, subject, sender, to)
scopes = cfg['scopes']['big_query']
project_id = cfg['ids']['project_id']
bigquery = createBigQueryService(scopes, 'bigquery', 'v2')
logging.info('Checking the processes for [{}]'.format(dateref))
query = "SELECT report_date, status FROM logs.status_board WHERE report_date = \'" + dateref + "\'"
result = fetch_big_query_data(bigquery, project_id, query, 10)
if 'rows' in result:
rows = convert_big_query_result(result, DAILY_STATUS)
if 'rows' not in result or len(rows) == 0:
result = None
logging.info("There is no result for daily status so there is nothing to do.")
elif dateref == rows[0]['report_date'] and rows[0]['status'] == '0':
result = True
logging.info("All processes for the day[{}] went well, so no email to be sent.".format(dateref))
else:
result = False
logging.info("There is something wrong so an email will be sent to the admin.")
prepare_and_send_email()
try:
logging.info("Writing daily run results to BQ for the day[{}]...".format(dateref))
row = [{u'executionTime': datetime.utcnow().strftime("%s"), u'report_date': dateref, u'result': result}]
writeDatainBigQuery(row, 'daily_report_status')
except Exception:
logging.info("Error writing daily run results to BQ for the day[{}].".format(dateref))
def get(self):
logging.info('Create Volume Report')
sDate = self.request.get('sDate')
eDate = self.request.get('eDate')
start_date = date(int(sDate.split('-')[0]), int(sDate.split('-')[1]),
int(sDate.split('-')[2]))
end_date = date(int(eDate.split('-')[0]), int(eDate.split('-')[1]),
int(eDate.split('-')[2]))
date_delta = timedelta(days=1)
scopes = cfg['scopes']['big_query']
project_id = cfg['ids']['project_id']
bigquery = createBigQueryService(scopes, 'bigquery', 'v2')
for table in bigquery_setup['tables']:
logging.info('Start generating volume info for table [{}]'.format(
table['name']))
day_date = start_date
while day_date <= end_date:
logging.info("Generating volume for date {}".format(
day_date.strftime("%Y-%m-%d")))
yyyy, mm, dd = day_date.strftime("%Y-%m-%d").split("-")
decorator_date = "{yyyy}{mm}{dd}".format(yyyy=yyyy,
mm=mm,
dd=dd)
table_name_decorator = table['name'] + '$' + decorator_date
table_level = table['level'] if ('level'
in table) else 'raw_data'
table_type = table['type']
info = fetch_big_query_table_info(bigquery, project_id,
table['dataset'],
table_name_decorator)
num_rows = info['numRows'] if ('numRows' in info) else '0'
num_bytes = info['numBytes'] if ('numBytes' in info) else '0'
log_info = "TABLE_INFO: TABLE:{}, TABLE_DECORATOR:{}, LEVEL:{}, " \
"TYPE:{}, NUM_ROWS:{}, NUM_BYTES:{}".format(
table['name'], table_name_decorator, table_level, table_type, num_rows, num_bytes)
logging.info(log_info)
day_date += date_delta
def get(self):
def prepare_and_send_email():
to = cfg['notification_email']
if not to:
logging.info("No notification email has been setup.")
return
sender = 'noreply@{}.appspotmail.com'.format(project_id)
subject = 'A BVI process has failed.'
image_link = "https://{}.appspot.com/images/google-cloud.png".format(project_id)
template_values = {
'day': day,
'image_link': image_link
}
template_path = 'email_templates/processfailure.html'
send_email(template_values, template_path, subject, sender, to)
scopes = cfg['scopes']['big_query']
project_id = cfg['ids']['project_id']
bigquery = createBigQueryService(scopes, 'bigquery', 'v2')
today = date.today()
day = today.strftime("%Y-%m-%d")
logging.info('Checking the processes for [{}]'.format(day))
query = "SELECT date, status, value FROM logs.daily_status ORDER BY date desc LIMIT 1"
result = fetch_big_query_data(bigquery, project_id, query, 10)
rows = convert_big_query_result(result, DAILY_STATUS)
if len(rows) == 0:
logging.info("There is no result for daily status so there is nothing to do.".format(day))
elif day == rows[0]['date'] and rows[0]['status'] == 'SUCCESS':
logging.info("All processes for the day[{}] went well, so no email to be sent.".format(day))
else:
logging.info("There is something wrong so an email will be sent to the admin.".format(day))
prepare_and_send_email()
def get(self):
project_id = cfg['ids']['project_id']
# getting request parameters
exec_type = self.request.get('type', 'daily')
step = self.request.get('step')
begin_step = self.request.get('begin_step')
dateref = self.request.get('dateref')
start_date = self.request.get('Sdate')
end_date = self.request.get('Edate')
auto_recover = self.request.get('auto_recover', False)
if auto_recover == 'False' or not auto_recover:
auto_recover = False
enable_auto_recover = self.request.get('enable_auto_recover', True)
if enable_auto_recover == 'False' or not enable_auto_recover:
enable_auto_recover = False
if should_check_for_auto_recover() and enable_auto_recover and exec_type == 'daily' \
and step == 'first' and begin_step:
# verifying if an error occurred in the last days, only in every 'frequency' days
logging.info("[auto-recover] Verifying need to execute auto-recover...")
bigquery = createBigQueryService(cfg['scopes']['big_query'], 'bigquery', 'v2')
query = "SELECT MIN(min_date) as first_fail FROM [{}:logs.errors_dashboard]".format(project_id)
result = fetch_big_query_data(bigquery, project_id, query, 10)
rows = convert_big_query_result(result, ERROR_BEGIN)
if len(rows) == 1 and rows[0]['first_fail']:
exec_type = 'historical'
start_date = rows[0]['first_fail']
end_date = dateref
auto_recover = True
logging.info("[auto-recover] Error occurred in a previous day, moving to historical execution to run "
+ "again since the first failed execution date. "
+ "auto-recover starting from {}".format(start_date))
else:
logging.info("[auto-recover] Not needed, no errors found in last {} days.".format(
cfg['auto_recover']['days_lookback']))
log_date = dateref
if exec_type == 'daily':
date_params = '&dateref={}&enable_auto_recover={}'.format(dateref, str(enable_auto_recover))
elif exec_type == 'historical':
date_params = '&Sdate={}&Edate={}&enable_auto_recover={}'.format(start_date,
end_date, str(enable_auto_recover))
log_date = start_date
if step == 'first' and begin_step:
bvi_log(date=log_date, resource='exec_manager', message_id='start',
message='Start of BVI {} execution'.format(exec_type))
with open('manager.yaml', 'r') as mgrymlfile:
mgr = yaml.load(mgrymlfile)
exec_manager_queue = cfg['queues']['exec_manager']
if begin_step:
if exec_type == 'daily':
bvi_log(date=log_date, resource=get_log_step(step), message_id='start',
message='Start of {} step'.format(step))
endpoint = mgr[step]['endpoint'].replace('from_cron', dateref)
taskqueue.add(queue_name=exec_manager_queue, url=endpoint, method='GET')
elif exec_type == 'historical':
exec_historical(mgr, step, start_date, end_date)
# wait for tasks to be created in the queue
time.sleep(15)
count_tasks = count_queued_tasks(mgr[step].get('queues'))
if count_tasks == 0 and 'next_step' in mgr[step] and mgr[step]['next_step']:
# Finished all tasks from this step
if auto_recover and 'missing_data_table' in mgr[step]:
# Check if the auto-recover was successful
logging.info("[auto-recover] Checking for effectiveness...")
lookback_date_obj = date.today() - timedelta(days=cfg['auto_recover']['days_lookback'])
lookback_date = lookback_date_obj.strftime("%Y-%m-%d")
bigquery = createBigQueryService(cfg['scopes']['big_query'], 'bigquery', 'v2')
check_query = "SELECT MIN(report_date) AS report_date FROM [{}:{}] " \
"WHERE report_date > \'{}\'".format(project_id,
mgr[step]['missing_data_table'],
lookback_date)
check_result = fetch_big_query_data(bigquery, project_id, check_query, 10)
if 'rows' in check_result:
check_rows = convert_big_query_result(check_result, CHECK_ROW)
if len(check_rows) == 1 and check_rows[0]['report_date']:
min_error_date = check_rows[0]['report_date']
min_error_date_obj = datetime.strptime(min_error_date, "%Y-%m-%d").date()
start_date_obj = datetime.strptime(start_date, "%Y-%m-%d").date()
if min_error_date_obj > start_date_obj:
logging.info(
"[auto-recover] Min error date for '{}' ".format(mgr[step]['missing_data_table'])
+ "is greater than start_date, auto-recover should proceed.")
else:
logging.info("[auto-recover] Could not fix any missing data for '{}'. ".format(
mgr[step]['missing_data_table'])
+ "Reverting to daily ({}) execution.".format(end_date))
exec_type = 'daily'
date_params = '&dateref={}&enable_auto_recover=False'.format(end_date)
auto_recover = False
else:
logging.info(
"[auto-recover] No missing data for '{}', auto-recover should proceed.".format(
mgr[step]['missing_data_table']))
else:
logging.info(
"[auto-recover] No missing data for '{}', auto-recover should proceed.".format(
mgr[step]['missing_data_table']))
logging.info("[auto-recover] Finished checking for effectiveness.")
# Execute next step
bvi_log(date=log_date, resource=get_log_step(step), message_id='end',
message='End of {} step'.format(get_log_step(step)))
taskqueue.add(queue_name=exec_manager_queue,
url='/exec_manager?type={}{}&step={}&begin_step=True&auto_recover={}'.format(
exec_type, date_params, mgr[step]['next_step'], auto_recover),
method='GET')
elif count_tasks > 0:
# Still executing tasks, just schedule to monitor task queues again 10 seconds later
logging.info("Waiting for tasks to finish...")
taskqueue.add(queue_name=exec_manager_queue,
url='/exec_manager?type={}{}&step={}&auto_recover={}'.format(
exec_type, date_params, step, auto_recover),
method='GET', countdown=10)
else:
# Finished ALL tasks
bvi_log(date=log_date, resource='exec_manager', message_id='end',
message='End of BVI {} execution'.format(exec_type))
def get(self):
op = self.request.get('op')
scopes = cfg['scopes']['big_query']
bigquery = createBigQueryService(scopes, 'bigquery', 'v2')
if op == "list_projects":
self.response.write( list_projects(bigquery) )
elif op == "create_datasets":
for dataset_def in bigquery_setup['datasets']:
try:
destination_dataset = dataset_def['name']
if exists_dataset(
bigquery,
cfg['ids']['project_id'],
destination_dataset=destination_dataset,
num_retries=5) == False:
try:
create_dataset(
bigquery,
cfg['ids']['project_id'],
description=dataset_def['description'],
destination_dataset=destination_dataset,
num_retries=5)
salida = "<b>{destination_dataset}</b> created <br>".format(
destination_dataset=destination_dataset,
)
self.response.write(salida)
except gHttpError as err:
self.response.write( "Cant create {dataset}".format(dataset=destination_dataset) )
return
except HTTPError as err:
self.response.write( "Cant create {dataset}".format(dataset=destination_dataset) )
return
else:
salida = "<b>{destination_dataset}</b> already exists <br><hr/>".format(
destination_dataset=destination_dataset,
)
self.response.write(salida)
except HTTPError as err:
self.response.write('Error in get: %s' % err.content)
elif op == "create_tables":
create_tables_from_list(self=self, bigquery=bigquery, folder=bigquery_setup['folder'],
tables_list=bigquery_setup['tables'], op=op)
elif op == "create_custom_schemas":
create_tables_from_list(self=self, bigquery=bigquery, folder=bigquery_custom_schemas_setup['folder'],
tables_list=bigquery_custom_schemas_setup['tables'], op=op)
elif op == "create_survey_tables":
create_tables_from_list(self=self, bigquery=bigquery, folder=bigquery_survey_setup['folder'],
tables_list=bigquery_survey_setup['tables'], op=op)
elif op == "create_logs_tables":
create_tables_from_list(self=self, bigquery=bigquery, folder=bigquery_logs_setup['folder'],
tables_list=bigquery_logs_setup['tables'], op=op)
elif op == "create_billing_view":
create_tables_from_list(self=self, bigquery=bigquery, folder=bigquery_logs_setup['folder'],
tables_list=bigquery_billing_setup['tables'], op=op)
elif op == "update":
update_data_level(self, bigquery, 'update', bigquery_setup)
elif op == "custom_update":
if not custom_fields_empty(bigquery):
update_data_level(self, bigquery, 'custom_update', bigquery_custom_schemas_setup)
elif op == "__dir__":
options = [
"<a href='{base}?op={op}' target='_blank'>{op}</a>".format(base="/bq_api", op="list_projects"),
"<a href='{base}?op={op}' target='_blank'>{op}</a>".format(base="/bq_api", op="create_datasets"),
"<a href='{base}?op={op}' target='_blank'>{op}</a>".format(base="/bq_api", op="create_tables"),
"<a href='{base}?op={op}' target='_blank'>{op}</a>".format(base="/bq_api",
op="create_survey_tables"),
"<a href='{base}?op={op}' target='_blank'>{op}</a>".format(base="/bq_api", op="create_custom_schemas"),
"<a href='{base}?op={op}' target='_blank'>{op}</a>".format(base="/bq_api", op="create_logs_tables"),
"<a href='{base}?op={op}' target='_blank'>{op}</a>".format(base="/bq_api", op="create_billing_view"),
"<a href='{base}?op={op}' target='_blank'>{op}</a>".format(base="/bq_api", op="update"),
]
salida = "<br/>".join(options)
self.response.write(salida)
else: #illegal option
self.response.write("So sorry, but I didn't understand that order")
