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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2023 Confluent Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import json
from unittest.mock import Mock
import orjson
import pytest
from confluent_kafka.schema_registry import (
Schema,
SchemaReference,
AsyncSchemaRegistryClient, RegisteredSchema,
)
from confluent_kafka.schema_registry.json_schema import AsyncJSONDeserializer, AsyncJSONSerializer
from confluent_kafka.schema_registry.rule_registry import RuleRegistry
from confluent_kafka.serialization import SerializationContext
async def test_json_deserializer_referenced_schema_no_schema_registry_client(load_avsc):
"""
Ensures that the deserializer raises a ValueError if a referenced schema is provided but no schema registry
client is provided.
"""
schema = Schema(load_avsc("order_details.json"), 'JSON',
[SchemaReference("http://example.com/customer.schema.json", "customer", 1)])
with pytest.raises(
ValueError,
match="""schema_registry_client must be provided if "schema_str" is a Schema instance with references"""):
await AsyncJSONDeserializer(schema, schema_registry_client=None)
async def test_json_deserializer_invalid_schema_type():
"""
Ensures that the deserializer raises a ValueError if an invalid schema type is provided.
"""
with pytest.raises(TypeError, match="You must pass either str or Schema"):
await AsyncJSONDeserializer(1)
async def test_custom_json_encoder():
"""Test custom JSON encoder using orjson for better performance"""
schema_str = """
{
"type": "object",
"properties": {
"name": {"type": "string"},
"age": {"type": "integer"}
}
}"""
test_data = {"name": "John", "age": 30}
ctx = SerializationContext("topic-name", "value")
# Create mock AsyncSchemaRegistryClient
mock_schema_registry_client = Mock(spec=AsyncSchemaRegistryClient)
mock_schema_registry_client.register_schema_full_response.return_value = RegisteredSchema(
schema_id=1,
guid=None,
schema=Schema(schema_str),
subject="topic-name-value",
version=1)
# Use orjson.dumps as the custom encoder
serializer = await AsyncJSONSerializer(
schema_str, mock_schema_registry_client, json_encode=orjson.dumps,
rule_registry=RuleRegistry()
)
result = await serializer(test_data, ctx)
# Since result includes schema registry framing (5 bytes prefix),
# we need to decode from bytes starting after the prefix
decoded = orjson.loads(result[5:])
assert decoded["name"] == "John"
assert decoded["age"] == 30
async def test_custom_json_decoder():
"""Test custom JSON decoder using orjson for better performance"""
schema_str = """
{
"type": "object",
"properties": {
"name": {"type": "string"},
"age": {"type": "integer"}
}
}"""
test_data = b'\x00\x00\x00\x00\x01{"name": "John", "age": 30}'
# Use orjson for decoding with custom transformation
def custom_decoder(data):
decoded = orjson.loads(data)
return {k.upper(): v for k, v in decoded.items()}
deserializer = await AsyncJSONDeserializer(
schema_str, json_decode=custom_decoder,
rule_registry=RuleRegistry())
ctx = SerializationContext("topic-name", "value")
result = await deserializer(test_data, ctx)
# Verify custom decoder transformed keys to uppercase
assert result["NAME"] == "John"
assert result["AGE"] == 30
async def test_custom_encoder_decoder_chain():
"""Test serialization/deserialization chain with custom encoding"""
schema_str = """
{
"type": "object",
"properties": {
"data": {"type": "string"}
}
}"""
test_data = {"data": "test value"}
ctx = SerializationContext("topic-name", "value")
mock_schema_registry_client = Mock(spec=AsyncSchemaRegistryClient)
mock_schema_registry_client.register_schema_full_response.return_value = RegisteredSchema(
schema_id=1,
guid=None,
schema=Schema(schema_str),
subject="topic-name-value",
version=1)
def custom_encoder(obj):
return orjson.dumps(obj, option=orjson.OPT_SORT_KEYS)
def custom_decoder(data):
return orjson.loads(data)
serializer = await AsyncJSONSerializer(
schema_str,
mock_schema_registry_client,
json_encode=custom_encoder,
rule_registry=RuleRegistry()
)
deserializer = await AsyncJSONDeserializer(
schema_str, json_decode=custom_decoder,
rule_registry=RuleRegistry())
# Serialize then deserialize
encoded = await serializer(test_data, ctx)
decoded = await deserializer(encoded, ctx)
assert decoded == test_data
async def test_custom_encoding_with_complex_data():
"""Test custom encoding with nested structures"""
schema_str = """
{
"type": "object",
"properties": {
"nested": {
"type": "object",
"properties": {
"array": {"type": "array", "items": {"type": "integer"}},
"string": {"type": "string"}
}
}
}
}"""
test_data = {"nested": {"array": [1, 2, 3], "string": "test"}}
mock_schema_registry_client = Mock(spec=AsyncSchemaRegistryClient)
mock_schema_registry_client.register_schema_full_response.return_value = RegisteredSchema(
schema_id=1,
guid=None,
schema=Schema(schema_str),
subject="topic-name-value",
version=1)
def custom_encoder(obj):
return json.dumps(obj, indent=2)
def custom_decoder(data):
return json.loads(data)
serializer = await AsyncJSONSerializer(
schema_str,
mock_schema_registry_client,
json_encode=custom_encoder,
rule_registry=RuleRegistry()
)
deserializer = await AsyncJSONDeserializer(
schema_str, json_decode=custom_decoder,
rule_registry=RuleRegistry())
ctx = SerializationContext("topic-name", "value")
encoded = await serializer(test_data, ctx)
decoded = await deserializer(encoded, ctx)
assert decoded == test_data
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