def test_success_with_enhanced_ecommerce_request(self, patched_time_sleep):
# Bypass the time.sleep wait
patched_time_sleep.return_value = 1
self._worker = workers.BQToMeasurementProtocolProcessor(
{
'bq_project_id': 'BQID',
'bq_dataset_id': 'DTID',
'bq_table_id': 'table_id',
'bq_page_token': None,
'bq_batch_size': 10,
'mp_batch_size': 20,
'debug': False,
}, 1, 1)
self._use_query_results({
'tableReference': {
'tableId': 'mock_table',
},
'jobReference': {
'jobId': 'one-row-with-array-of-structs-query',
},
'rows': [{
'f': [
{
'v': 'UA-12345-6'
}, # tid
{
'v': '123456789.1234567890'
}, # cid
{
'v': 'pageview'
}, # t
{
'v': 'purchase'
}, # pa
{
'v': '987654321'
}, # ti
{
'v': 'Moscow'
}, # ta
{
'v': '1540.0'
}, # tr
{
'v': 'RUB'
}, # cu
{
'v': [ # pr
{
'v': { # pr1
'f': [
{
'v': 'SKU1'
}, # pr1id
{
'v': 'Product1'
}, # pr1nm
{
'v': 'Brand1'
}, # pr1br
{
'v': 'Cat1'
}, # pr1ca
{
'v': '110.0'
}, # pr1pr
{
'v': '1'
} # pr1qt
]
}
},
{
'v': { # pr2
'f': [
{
'v': 'SKU2'
}, # pr2id
{
'v': 'Product2'
}, # pr2nm
{
'v': 'Brand2'
}, # pr2br
{
'v': 'Cat2'
}, # pr2ca
{
'v': '220.0'
}, # pr2pr
{
'v': '2'
} # pr2qt
]
}
},
{
'v': { # pr3
'f': [
{
'v': 'SKU3'
}, # pr3id
{
'v': 'Product3'
}, # pr3nm
{
'v': 'Brand3'
}, # pr3br
{
'v': 'Cat3'
}, # pr3ca
{
'v': '330.0'
}, # pr3pr
{
'v': '3'
} # pr3qt
]
}
}
]
},
{
'v': [ # il
{ # il1
'v': {
'f': [
{
'v': 'List1'
}, # il1nm
{
'v': [ # il1pi
{
'v': { # il1pi1
'f': [
{
'v': 'SKU11'
}, # il1pi1id
{
'v':
'Product11'
}, # il1pi1nm
{
'v': 'Brand11'
}, # il1pi1br
{
'v': 'Cat11'
}, # il1pi1ca
{
'v': '1110.0'
} # il1pi1pr
]
}
},
{
'v': { # il1pi2
'f': [
{
'v': 'SKU12'
}, # il1pi2id
{
'v':
'Product12'
}, # il1pi2nm
{
'v': 'Brand12'
}, # il1pi2br
{
'v': 'Cat12'
}, # il1pi2ca
{
'v': '1220.0'
} # il1pi2pr
]
}
},
{
'v': { # il1pi3
'f': [
{
'v': 'SKU13'
}, # il1pi3id
{
'v':
'Product13'
}, # il1pi3nm
{
'v': 'Brand13'
}, # il1pi3br
{
'v': 'Cat13'
}, # il1pi3ca
{
'v': '1330.0'
} # il1pi3pr
]
}
}
]
}
]
}
},
{ # il2
'v': {
'f': [
{
'v': 'List2'
}, # il2nm
{
'v': [ # il2pi
{
'v': { # il2pi1
'f': [
{
'v': 'SKU21'
}, # il2pi1id
{
'v':
'Product21'
}, # il2pi1nm
{
'v': 'Brand21'
}, # il2pi1br
{
'v': 'Cat21'
}, # il2pi1ca
{
'v': '2110.0'
} # il2pi1pr
]
}
},
{
'v': { # il2pi2
'f': [
{
'v': 'SKU22'
}, # il2pi2id
{
'v':
'Product22'
}, # il2pi2nm
{
'v': 'Brand22'
}, # il2pi2br
{
'v': None
}, # il2pi2ca
{
'v': '2220.0'
} # il2pi2pr
]
}
},
{
'v': { # il2pi3
'f': [
{
'v': 'SKU23'
}, # il2pi3id
{
'v':
'Product23'
}, # il2pi3nm
{
'v': 'Brand23'
}, # il2pi3br
{
'v': 'Cat23'
}, # il2pi3ca
{
'v': '2330.0'
} # il2pi3pr
]
}
}
]
}
]
}
}
]
}
]
}],
'schema': {
'fields': [{
'name': 'tid',
'type': 'STRING',
'mode': 'NULLABLE'
}, {
'name': 'cid',
'type': 'STRING',
'mode': 'NULLABLE'
}, {
'name': 't',
'type': 'STRING',
'mode': 'NULLABLE'
}, {
'name': 'pa',
'type': 'STRING',
'mode': 'NULLABLE'
}, {
'name': 'ti',
'type': 'INTEGER',
'mode': 'NULLABLE'
}, {
'name': 'ta',
'type': 'STRING',
'mode': 'NULLABLE'
}, {
'name': 'tr',
'type': 'FLOAT',
'mode': 'NULLABLE'
}, {
'name': 'cu',
'type': 'STRING',
'mode': 'NULLABLE'
}, {
'name':
'pr',
'type':
'RECORD',
'mode':
'REPEATED',
'fields': [{
'name': 'id',
'type': 'STRING',
'mode': 'NULLABLE'
}, {
'name': 'nm',
'type': 'STRING',
'mode': 'NULLABLE'
}, {
'name': 'br',
'type': 'STRING',
'mode': 'NULLABLE'
}, {
'name': 'ca',
'type': 'STRING',
'mode': 'NULLABLE'
}, {
'name': 'pr',
'type': 'FLOAT',
'mode': 'NULLABLE'
}, {
'name': 'qt',
'type': 'INTEGER',
'mode': 'NULLABLE'
}]
}, {
'name':
'il',
'type':
'RECORD',
'mode':
'REPEATED',
'fields': [
{
'name': 'nm',
'type': 'STRING',
'mode': 'NULLABLE'
},
{
'name':
'pi',
'type':
'RECORD',
'mode':
'REPEATED',
'fields': [{
'name': 'id',
'type': 'STRING',
'mode': 'NULLABLE'
}, {
'name': 'nm',
'type': 'STRING',
'mode': 'NULLABLE'
}, {
'name': 'br',
'type': 'STRING',
'mode': 'NULLABLE'
}, {
'name': 'ca',
'type': 'STRING',
'mode': 'NULLABLE'
}, {
'name': 'pr',
'type': 'FLOAT',
'mode': 'NULLABLE'
}]
},
]
}]
}
})
mock_response = mock.Mock()
mock_response.status_code = 200
self._patched_post.return_value = mock_response
self._worker._execute()
self._patched_post.assert_called_once()
self.assertEqual(self._patched_post.call_args[0][0],
'https://www.google-analytics.com/batch')
self.assertEqual(
self._patched_post.call_args[1], {
'headers': {
'user-agent': 'CRMint / 0.1'
},
'data':
'cid=123456789.1234567890&cu=RUB&il1nm=List1&il1pi1br=Brand11&il1pi1ca=Cat11&il1pi1id=SKU11&il1pi1nm=Product11&il1pi1pr=1110.0&il1pi2br=Brand12&il1pi2ca=Cat12&il1pi2id=SKU12&il1pi2nm=Product12&il1pi2pr=1220.0&il1pi3br=Brand13&il1pi3ca=Cat13&il1pi3id=SKU13&il1pi3nm=Product13&il1pi3pr=1330.0&il2nm=List2&il2pi1br=Brand21&il2pi1ca=Cat21&il2pi1id=SKU21&il2pi1nm=Product21&il2pi1pr=2110.0&il2pi2br=Brand22&il2pi2id=SKU22&il2pi2nm=Product22&il2pi2pr=2220.0&il2pi3br=Brand23&il2pi3ca=Cat23&il2pi3id=SKU23&il2pi3nm=Product23&il2pi3pr=2330.0&pa=purchase&pr1br=Brand1&pr1ca=Cat1&pr1id=SKU1&pr1nm=Product1&pr1pr=110.0&pr1qt=1&pr2br=Brand2&pr2ca=Cat2&pr2id=SKU2&pr2nm=Product2&pr2pr=220.0&pr2qt=2&pr3br=Brand3&pr3ca=Cat3&pr3id=SKU3&pr3nm=Product3&pr3pr=330.0&pr3qt=3&t=pageview&ta=Moscow&ti=987654321&tid=UA-12345-6&tr=1540.0&v=1'
})
def test_log_exception_if_http_fails(self, patched_time_sleep,
patched_logger):
# Bypass the time.sleep wait
patched_time_sleep.return_value = 1
# NB: patching the StackDriver logger is needed because there is no
# testbed service available for now
patched_logger.log_struct.__name__ = 'foo'
patched_logger.log_struct.return_value = "patched_log_struct"
self._worker = workers.BQToMeasurementProtocolProcessor(
{
'bq_project_id': 'BQID',
'bq_dataset_id': 'DTID',
'bq_table_id': 'table_id',
'bq_page_token': None,
'bq_batch_size': 10,
'mp_batch_size': 20,
'debug': False,
}, 1, 1)
self._use_query_results({
'tableReference': {
'tableId': 'mock_table',
},
'jobReference': {
'jobId': 'one-row-query',
},
'rows': [{
'f': [
{
'v': 'UA-12345-1'
},
{
'v': '35009a79-1a05-49d7-b876-2b884d0f825b'
},
{
'v': 'event'
},
{
'v': 1
},
{
'v': 'category'
},
{
'v': 'action'
},
{
'v': 'label'
},
{
'v': 'value'
},
{
'v': 'User Agent / 1.0'
},
]
}],
'schema': {
'fields': [
{
'name': 'tid',
'type': 'STRING'
},
{
'name': 'cid',
'type': 'STRING'
},
{
'name': 't',
'type': 'STRING'
},
{
'name': 'ni',
'type': 'INTEGER'
},
{
'name': 'ec',
'type': 'STRING'
},
{
'name': 'ea',
'type': 'STRING'
},
{
'name': 'el',
'type': 'STRING'
},
{
'name': 'ev',
'type': 'STRING'
},
{
'name': 'ua',
'type': 'STRING'
},
]
}
})
mock_response = mock.Mock()
mock_response.status_code = 500
self._patched_post.return_value = mock_response
self._worker._execute()
# Called 2 times because of 1 retry.
self.assertEqual(self._patched_post.call_count, 2)
# When retry stops it should log the message as an error.
patched_logger.log_error.called_once()
def test_success_with_one_post_request(self, patched_time_sleep):
# Bypass the time.sleep wait
patched_time_sleep.return_value = 1
self._worker = workers.BQToMeasurementProtocolProcessor(
{
'bq_project_id': 'BQID',
'bq_dataset_id': 'DTID',
'bq_table_id': 'table_id',
'bq_page_token': None,
'bq_batch_size': 10,
'mp_batch_size': 20,
'debug': False,
}, 1, 1)
self._use_query_results({
'tableReference': {
'tableId': 'mock_table',
},
'jobReference': {
'jobId': 'two-rows-query',
},
'rows': [{
'f': [
{
'v': 'UA-12345-1'
},
{
'v': '35009a79-1a05-49d7-b876-2b884d0f825b'
},
{
'v': 'event'
},
{
'v': 1
},
{
'v': 'category'
},
{
'v': 'action'
},
{
'v': 'label'
},
{
'v': 0.9
},
{
'v': 'User Agent / 1.0'
},
{
'v': None
},
]
}, {
'f': [
{
'v': 'UA-12345-1'
},
{
'v': '35009a79-1a05-49d7-b876-2b884d0f825b'
},
{
'v': 'event'
},
{
'v': 1
},
{
'v': 'category'
},
{
'v': 'action'
},
{
'v': u'\u043c\u0435\u0442\u043a\u0430'
},
{
'v': 0.8
},
{
'v': 'User Agent / 1.0'
},
{
'v': 'segment1'
},
]
}],
'schema': {
'fields': [
{
'name': 'tid',
'type': 'STRING'
},
{
'name': 'cid',
'type': 'STRING'
},
{
'name': 't',
'type': 'STRING'
},
{
'name': 'ni',
'type': 'INTEGER'
},
{
'name': 'ec',
'type': 'STRING'
},
{
'name': 'ea',
'type': 'STRING'
},
{
'name': 'el',
'type': 'STRING'
},
{
'name': 'ev',
'type': 'FLOAT'
},
{
'name': 'ua',
'type': 'STRING'
},
{
'name': 'cd1',
'type': 'STRING'
},
]
}
})
mock_response = mock.Mock()
mock_response.status_code = 200
self._patched_post.return_value = mock_response
self._worker._execute()
self._patched_post.assert_called_once()
self.assertEqual(self._patched_post.call_args[0][0],
'https://www.google-analytics.com/batch')
self.assertEqual(
self._patched_post.call_args[1], {
'headers': {
'user-agent': 'CRMint / 0.1'
},
'data':
"""cid=35009a79-1a05-49d7-b876-2b884d0f825b&ea=action&ec=category&el=label&ev=0.9&ni=1&t=event&tid=UA-12345-1&ua=User+Agent+%2F+1.0&v=1
cd1=segment1&cid=35009a79-1a05-49d7-b876-2b884d0f825b&ea=action&ec=category&el=%D0%BC%D0%B5%D1%82%D0%BA%D0%B0&ev=0.8&ni=1&t=event&tid=UA-12345-1&ua=User+Agent+%2F+1.0&v=1""",
})
