Use Fetch/Produce API v2 for brokers >= 0.10 (uses message format v1) (#694)

1 files changed, 47 insertions, 0 deletions

diff --git a/test/test_sender.py b/test/test_sender.py
new file mode 100644
index 0000000..bb9068e
--- /dev/null
+++ b/test/test_sender.py
@@ -0,0 +1,47 @@
+# pylint: skip-file
+from __future__ import absolute_import
+
+import io
+
+import pytest
+
+from kafka.client_async import KafkaClient
+from kafka.cluster import ClusterMetadata
+from kafka.producer.buffer import MessageSetBuffer
+from kafka.producer.sender import Sender
+from kafka.producer.record_accumulator import RecordAccumulator, RecordBatch
+import kafka.errors as Errors
+from kafka.future import Future
+from kafka.protocol.produce import ProduceRequest
+from kafka.structs import TopicPartition, OffsetAndMetadata
+
+
+@pytest.fixture
+def client(mocker):
+    _cli = mocker.Mock(spec=KafkaClient(bootstrap_servers=[]))
+    _cli.cluster = mocker.Mock(spec=ClusterMetadata())
+    return _cli
+
+
+@pytest.fixture
+def accumulator():
+    return RecordAccumulator()
+
+
+@pytest.fixture
+def sender(client, accumulator):
+    return Sender(client, client.cluster, accumulator)
+
+
+@pytest.mark.parametrize(("api_version", "produce_version"), [
+    ((0, 10), 2),
+    ((0, 9), 1),
+    ((0, 8), 0)
+])
+def test_produce_request(sender, mocker, api_version, produce_version):
+    sender.config['api_version'] = api_version
+    tp = TopicPartition('foo', 0)
+    records = MessageSetBuffer(io.BytesIO(), 100000)
+    batch = RecordBatch(tp, records)
+    produce_request = sender._produce_request(0, 0, 0, [batch])
+    assert isinstance(produce_request, ProduceRequest[produce_version])