Add generic SerDe support

confluent_kafka/__init__.py

@@ -1,9 +1,7 @@
-__all__ = ['cimpl', 'admin', 'avro', 'kafkatest']
-from .cimpl import (Consumer,  # noqa
-                    KafkaError,
+__all__ = ['cimpl', 'admin', 'avro', 'kafkatest', 'producer', 'consumer']
+from .cimpl import (KafkaError, # noqa
                     KafkaException,
                     Message,
-                    Producer,
                     TopicPartition,
                     libversion,
                     version,
@@ -15,6 +13,10 @@
                     OFFSET_STORED,
                     OFFSET_INVALID)
 
+# High-level client wrappers used for extending cimpl.[Producer|Consumer] client functionality.
+from .producer import Producer # noqa
+from .consumer import Consumer # noqa
+
 __version__ = version()[0]
 
 

confluent_kafka/avro/schema.py

@@ -0,0 +1,64 @@
+#!/usr/bin/env python
+#
+# Copyright 2018 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.
+#
+
+from avro.schema import PrimitiveSchema
+
+# Python 2 considers int an instance of str
+try:
+    string_type = basestring  # noqa
+except NameError:
+    string_type = str
+
+
+class GenericAvroRecord(dict):
+    """
+    Pairs an AvroRecord with it's schema
+
+    :param schema schema: A parsed Avro schema.
+    :param dict record: Wraps existing dict in GenericAvroRecord.
+    :raises ValueError: If schema is None.
+    :returns: Avro record with its schema.
+    :rtype: GenericAvroRecord
+    """
+    __slots__ = ['schema']
+
+    def __init__(self, schema, record=None):
+        if schema is None:
+            raise ValueError("schema must not be None")
+        self.schema = schema
+        if record is not None:
+            self.update(record)
+
+    def put(self, key, value):
+        self[key] = value
+
+
+def get_schema(datum):
+    if isinstance(datum, GenericAvroRecord):
+        return datum.schema
+    elif (datum is None):
+        return PrimitiveSchema("null")
+    elif isinstance(datum, string_type):
+        return PrimitiveSchema('string')
+    elif isinstance(datum, bool):
+        return PrimitiveSchema('boolean')
+    elif isinstance(datum, int):
+        return PrimitiveSchema('int')
+    elif isinstance(datum, float):
+        return PrimitiveSchema('float')
+    else:
+        raise ValueError("Unsupported Avro type {}.".format(type(datum)))