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test_kafka.py
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# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import sys
from typing import List
import unittest
import json
from unittest.mock import patch
import azure.functions as func
import azure.functions.kafka as azf_ka
import azure.functions.meta as meta
from tests.utils.testutils import (CollectionBytes, CollectionString,
CollectionSint64)
class Kafka(unittest.TestCase):
SINGLE_KAFKA_DATAUM = '{"Offset":1,"Partition":0,"Topic":"users",'\
'"Timestamp":"2020-06-20T04:43:28.998Z","Value":"hello", ' \
'"Headers":[{"Key":"test","Value":"1"}]}'
SINGLE_KAFKA_TIMESTAMP = "2020-06-20T04:43:28.998Z"
MULTIPLE_KAFKA_TIMESTAMP_0 = "2020-06-20T05:06:25.139Z"
MULTIPLE_KAFKA_TIMESTAMP_1 = "2020-06-20T05:06:25.945Z"
MULTIPLE_KAFKA_DATA_0 = '{"Offset":62,"Partition":1,"Topic":"message",'\
'"Timestamp":"2020-06-20T05:06:25.139Z","Value":"a", ' \
'"Headers":[{"Key":"test","Value":"1"}], ' \
'"Key" : "1"}'
MULTIPLE_KAFKA_DATA_1 = '{"Offset":63,"Partition":1,"Topic":"message",'\
'"Timestamp":"2020-06-20T05:06:25.945Z","Value":"a", ' \
'"Headers":[{"Key":"test2","Value":"2"}], ' \
'"Key": "2"}'
def test_kafka_input_type(self):
check_input_type = (
azf_ka.KafkaConverter.check_input_type_annotation
)
if sys.version_info >= (3, 9):
self.assertTrue(check_input_type(list[func.KafkaEvent]))
self.assertTrue(check_input_type(func.KafkaEvent))
self.assertTrue(check_input_type(List[func.KafkaEvent]))
self.assertFalse(check_input_type(str))
self.assertFalse(check_input_type(bytes))
self.assertFalse(check_input_type(List[str]))
def test_kafka_output_type(self):
check_output_type = (
azf_ka.KafkaTriggerConverter.check_output_type_annotation
)
if sys.version_info >= (3, 9):
self.assertTrue(check_output_type(list[str]))
self.assertTrue(check_output_type(bytes))
self.assertTrue(check_output_type(str))
self.assertTrue(check_output_type(List[str]))
self.assertFalse(check_output_type(func.KafkaEvent))
self.assertFalse(check_output_type(List[bytes]))
self.assertFalse(check_output_type(List[func.KafkaEvent]))
@patch('azure.functions.kafka.KafkaTriggerConverter'
'.decode_single_event')
@patch('azure.functions.kafka.KafkaTriggerConverter'
'.decode_multiple_events')
def test_kafka_decode_single_event(self, dme_mock, dse_mock):
azf_ka.KafkaTriggerConverter.decode(
data=self._generate_single_kafka_datum(),
trigger_metadata=self._generate_single_trigger_metadatum()
)
dse_mock.assert_called_once()
dme_mock.assert_not_called()
@patch('azure.functions.kafka.KafkaTriggerConverter'
'.decode_single_event')
@patch('azure.functions.kafka.KafkaTriggerConverter'
'.decode_multiple_events')
def test_kafka_decode_multiple_events(self, dse_mock, dme_mock):
azf_ka.KafkaTriggerConverter.decode(
data=self._generate_multiple_kafka_data(),
trigger_metadata=self._generate_multiple_trigger_metadata()
)
dse_mock.assert_not_called()
dme_mock.assert_called_once()
def test_kafka_trigger_single_event_json(self):
result = azf_ka.KafkaTriggerConverter.decode(
data=self._generate_single_kafka_datum('json'),
trigger_metadata=self._generate_single_trigger_metadatum()
)
# Result body always has the datatype of bytes
self.assertEqual(
result.get_body().decode('utf-8'), self.SINGLE_KAFKA_DATAUM
)
self.assertEqual(result.timestamp, self.SINGLE_KAFKA_TIMESTAMP)
def test_kafka_trigger_single_event_bytes(self):
result = azf_ka.KafkaTriggerConverter.decode(
data=self._generate_single_kafka_datum('bytes'),
trigger_metadata=self._generate_single_trigger_metadatum()
)
self.assertEqual(
result.get_body().decode('utf-8'), self.SINGLE_KAFKA_DATAUM
)
self.assertEqual(result.timestamp, self.SINGLE_KAFKA_TIMESTAMP)
def test_kafka_trigger_single_event_string(self):
result = azf_ka.KafkaTriggerConverter.decode(
data=self._generate_single_kafka_datum('string'),
trigger_metadata=self._generate_single_trigger_metadatum()
)
self.assertEqual(
result.get_body().decode('utf-8'), self.SINGLE_KAFKA_DATAUM
)
self.assertEqual(result.timestamp, self.SINGLE_KAFKA_TIMESTAMP)
def test_kafka_trigger_multiple_events_collection_string(self):
result = azf_ka.KafkaTriggerConverter.decode(
data=self._generate_multiple_kafka_data('collection_string'),
trigger_metadata=self._generate_multiple_trigger_metadata()
)
self.assertIsInstance(result, list)
self.assertEqual(len(result), 2)
self.assertEqual(
result[0].timestamp,
self.MULTIPLE_KAFKA_TIMESTAMP_0)
self.assertEqual(
json.loads(result[0].get_body().decode('utf-8')),
json.loads(self.MULTIPLE_KAFKA_DATA_0)
)
self.assertEqual(
result[1].timestamp,
self.MULTIPLE_KAFKA_TIMESTAMP_1)
self.assertEqual(
json.loads(result[1].get_body().decode('utf-8')),
json.loads(self.MULTIPLE_KAFKA_DATA_1)
)
def test_kafka_trigger_multiple_events_collection_bytes(self):
result = azf_ka.KafkaTriggerConverter.decode(
data=self._generate_multiple_kafka_data('collection_bytes'),
trigger_metadata=self._generate_multiple_trigger_metadata()
)
self.assertIsInstance(result, list)
self.assertEqual(len(result), 2)
self.assertEqual(
result[0].timestamp,
self.MULTIPLE_KAFKA_TIMESTAMP_0)
self.assertEqual(
json.loads(result[0].get_body().decode('utf-8')),
json.loads(self.MULTIPLE_KAFKA_DATA_0)
)
self.assertEqual(
result[1].timestamp,
self.MULTIPLE_KAFKA_TIMESTAMP_1)
self.assertEqual(
json.loads(result[1].get_body().decode('utf-8')),
json.loads(self.MULTIPLE_KAFKA_DATA_1)
)
def test_single_kafka_trigger_metadata_field(self):
result = azf_ka.KafkaTriggerConverter.decode(
data=self._generate_single_kafka_datum(),
trigger_metadata=self._generate_single_trigger_metadatum()
)
# Timestamp
self.assertEqual(result.timestamp, self.SINGLE_KAFKA_TIMESTAMP)
# Offset should be 1
self.assertEqual(result.offset, 1)
# Topic
self.assertEqual(result.topic, "users")
# Partition
self.assertEqual(result.partition, 0)
# Value
self.assertEqual(
json.loads(result.get_body().decode('utf-8'))['Value'], "hello")
# Metadata
metadata_dict = result.metadata
sys = metadata_dict['sys']
sys_dict = json.loads(sys)
self.assertEqual(sys_dict['MethodName'], 'KafkaTrigger')
def test_multiple_kafka_triggers_metadata_field(self):
result = azf_ka.KafkaTriggerConverter.decode(
data=self._generate_multiple_kafka_data("collection_string"),
trigger_metadata=self._generate_multiple_trigger_metadata()
)
self.assertEqual(result[0].offset, 62)
self.assertEqual(result[1].offset, 63)
self.assertEqual(result[0].partition, 1)
self.assertEqual(result[1].partition, 2)
self.assertEqual(
result[0].timestamp,
"2020-06-20T05:06:25.139Z")
self.assertEqual(
result[1].timestamp,
"2020-06-20T05:06:25.945Z")
metadata_dict = result[0].metadata
sys = metadata_dict['sys']
sys_dict = json.loads(sys)
self.assertEqual(sys_dict['MethodName'], 'KafkaTriggerMany')
def test_kafka_convert_single_event_str(self):
datum = meta.Datum("dummy_body", "string")
result = azf_ka.KafkaConverter.decode(
data=datum, trigger_metadata=None)
self.assertEqual(result.get_body(), b"dummy_body")
def test_kafka_convert_single_event_bytes(self):
datum = meta.Datum(b"dummy_body", "bytes")
result = azf_ka.KafkaConverter.decode(
data=datum, trigger_metadata=None)
self.assertEqual(result.get_body(), b"dummy_body")
def test_kafka_convert_multiple_event_collection_string(self):
datum = meta.Datum(CollectionString(["dummy_body1", "dummy_body2"]),
"collection_string")
result = azf_ka.KafkaConverter.decode(
data=datum, trigger_metadata=None)
self.assertEqual([result[0].get_body(), result[1].get_body()],
[b"dummy_body1", b"dummy_body2"])
def test_kafka_convert_multiple_event_collection_bytes(self):
datum = meta.Datum(CollectionBytes([b"dummy_body1", b"dummy_body2"]),
"collection_bytes")
result = azf_ka.KafkaConverter.decode(
data=datum, trigger_metadata=None)
self.assertEqual([result[0].get_body(), result[1].get_body()],
[b"dummy_body1", b"dummy_body2"])
def _generate_single_kafka_datum(self, datum_type='string'):
datum = self.SINGLE_KAFKA_DATAUM
if datum_type == 'bytes':
datum = datum.encode('utf-8')
return meta.Datum(datum, datum_type)
def _generate_multiple_kafka_data(self, data_type='json'):
data = '[{"Offset":62,"Partition":1,"Topic":"message",'\
'"Timestamp":"2020-06-20T05:06:25.139Z","Value":"a",' \
' "Headers":[{"Key":"test","Value":"1"}], "Key": "1"},'\
' {"Offset":63,"Partition":1,"Topic":"message",'\
'"Timestamp":"2020-06-20T05:06:25.945Z","Value":"a", ' \
'"Headers":[{"Key":"test2","Value":"2"}], "Key": "2"}]'
if data_type == 'collection_bytes':
data = list(
map(lambda x: json.dumps(x).encode('utf-8'),
json.loads(data))
)
data = CollectionBytes(data)
elif data_type == 'collection_string':
data = list(
map(lambda x: json.dumps(x), json.loads(data))
)
data = CollectionString(data)
return meta.Datum(data, data_type)
def _generate_single_trigger_metadatum(self):
return {
'Offset': meta.Datum(
'1', 'string'
),
'Partition': meta.Datum(
'0', 'string'
),
'Timestamp': meta.Datum(
self.SINGLE_KAFKA_TIMESTAMP, 'string'
),
'Topic': meta.Datum(
'users', 'string'
),
'Value': meta.Datum(
'hello', 'string'
),
'sys': meta.Datum(
'{"MethodName":"KafkaTrigger",'
'"UtcNow":"2020-06-20T04:43:30.6756278Z",'
'"RandGuid":"b0870c0c-2b7a-40dc-b4be-45224c91a49c"}',
'json'
) # __len__: 6
}
def _generate_multiple_trigger_metadata(self):
key_array = ["1", "2"]
partition_array = [1, 2]
timestamp_array = ["2020-06-20T05:06:25.139Z",
"2020-06-20T05:06:25.945Z"]
return {
'KeyArray': meta.Datum(
json.dumps(key_array), 'json'
),
'OffsetArray': meta.Datum(
CollectionSint64([62, 63]), 'collection_sint64'
),
'PartitionArray': meta.Datum(
json.dumps(partition_array), 'json'
),
'TimestampArray': meta.Datum(
json.dumps(timestamp_array), 'json'
),
'TopicArray': meta.Datum(
CollectionString(['message', 'message']), "collection_string"
),
'HeadersArray': meta.Datum(
json.dumps([['{"Key":"test","Value":"1"}'],
['{"Key":"test2","Value":"2"}']]), 'json'
),
'sys': meta.Datum(
'{"MethodName":"KafkaTriggerMany",'
'"UtcNow":"2020-06-20T05:06:26.5550868Z",'
'"RandGuid":"57d5eeb7-c86c-4924-a14a-160092154093"}',
'json'
)
}