def get_topic(name):
if has_kafka_api():
pass
else:
manager = ManagerApi()
broker_host = manager.get_kafka_brokers().split(',')[0].split(':')[0]
return manager.get_kafka_topics(broker_host)[name]
def get_topics(user):
if has_kafka_api():
return KafkaApi().topics()
else:
data = {'snippet': {}, 'database': 'topics'}
return [
topic['name']
for topic in _get_notebook_api(user, connector_id=56).autocomplete(
**data)['tables_meta'] if not topic['name'].startswith('__')
]
def get_topics(user):
if has_kafka_api():
return KafkaApi().topics()
else:
data = {'snippet': {}, 'database': 'topics'}
interpreter = _get_interpreter_from_dialect('ksql', user)
api = _get_notebook_api(user, connector_id=interpreter['type'])
return [
topic['name'] for topic in api.autocomplete(**data)['tables_meta']
if not topic['name'].startswith('__')
]
def get_topics():
if has_kafka_api():
return KafkaApi().topics()
else:
try:
manager = ManagerApi()
broker_host = manager.get_kafka_brokers().split(',')[0].split(
':')[0]
return [
name
for name in list(manager.get_kafka_topics(broker_host).keys())
if not name.startswith('__')
]
except Exception as e:
return ['user_behavior']
def get_topics():
if has_kafka_api():
return KafkaApi().topics()
else:
try:
manager = ManagerApi()
broker_host = manager.get_kafka_brokers().split(',')[0].split(
':')[0]
return [
name for name in manager.get_kafka_topics(broker_host).keys()
if not name.startswith('__')
]
except Exception, e:
print e
return ["traffic", "hueAccessLogs"]
def get_topic_data(user, name):
if has_kafka_api():
print(SchemaRegistryApi().subjects())
print(SchemaRegistryApi().subject(name='Kafka-value'))
data = {
'full_headers': [{
'name': 'message',
'type': 'string'
}],
'rows': [['This is rider 894 and I am at 38.1952, -123.1723'],
['This is rider 98 and I am at 39.2531, -121.9547'],
['This is rider 564 and I am at 22.3431, -111.7670']]
}
else:
from desktop.api_public import _get_interpreter_from_dialect # Avoid circular import
interpreter = _get_interpreter_from_dialect('ksql', user)
api = _get_notebook_api(user, connector_id=interpreter['type'])
data = api.get_sample_data(snippet={})
print(data)
return data
