Don't use kafka.common internally

This finishes the split from `kafka.common` to `kafka.errors`/`kafka.structs`.

kafka/__init__.py

@@ -25,8 +25,8 @@ def emit(self, record):
 from kafka.protocol import (
     create_message, create_gzip_message, create_snappy_message)
 from kafka.partitioner import RoundRobinPartitioner, HashedPartitioner, Murmur2Partitioner
-from kafka.structs import TopicPartition, OffsetAndMetadata
 from kafka.serializer import Serializer, Deserializer
+from kafka.structs import TopicPartition, OffsetAndMetadata
 
 # To be deprecated when KafkaProducer interface is released
 from kafka.client import SimpleClient

kafka/consumer/multiprocess.py

@@ -8,7 +8,7 @@
 
 from kafka.vendor.six.moves import queue # pylint: disable=import-error
 
-from kafka.common import KafkaError
+from kafka.errors import KafkaError
 from kafka.consumer.base import (
     Consumer,
     AUTO_COMMIT_MSG_COUNT, AUTO_COMMIT_INTERVAL,
@@ -92,7 +92,7 @@ def _mp_consume(client, group, topic, message_queue, size, events, **consumer_op
 
         except KafkaError as e:
             # Retry with exponential backoff
-            log.error("Problem communicating with Kafka (%s), retrying in %d seconds..." % (e, interval))
+            log.exception("Problem communicating with Kafka, retrying in %d seconds...", interval)
             time.sleep(interval)
             interval = interval*2 if interval*2 < MAX_BACKOFF_SECONDS else MAX_BACKOFF_SECONDS
 

kafka/consumer/simple.py

@@ -24,13 +24,13 @@
     ITER_TIMEOUT_SECONDS,
     NO_MESSAGES_WAIT_TIME_SECONDS
 )
-from kafka.common import (
-    FetchRequestPayload, KafkaError, OffsetRequestPayload,
-    ConsumerFetchSizeTooSmall,
+from kafka.errors import (
+    KafkaError, ConsumerFetchSizeTooSmall,
     UnknownTopicOrPartitionError, NotLeaderForPartitionError,
     OffsetOutOfRangeError, FailedPayloadsError, check_error
 )
 from kafka.protocol.message import PartialMessage
+from kafka.structs import FetchRequestPayload, OffsetRequestPayload
 
 
 log = logging.getLogger(__name__)

kafka/coordinator/assignors/roundrobin.py

@@ -7,8 +7,8 @@
 from kafka.vendor import six
 
 from kafka.coordinator.assignors.abstract import AbstractPartitionAssignor
-from kafka.common import TopicPartition
 from kafka.coordinator.protocol import ConsumerProtocolMemberMetadata, ConsumerProtocolMemberAssignment
+from kafka.structs import TopicPartition
 
 log = logging.getLogger(__name__)
 

kafka/coordinator/consumer.py

@@ -11,7 +11,7 @@
 from kafka.coordinator.assignors.range import RangePartitionAssignor
 from kafka.coordinator.assignors.roundrobin import RoundRobinPartitionAssignor
 from kafka.coordinator.protocol import ConsumerProtocol
-from kafka import errors as Errors
+import kafka.errors as Errors
 from kafka.future import Future
 from kafka.metrics import AnonMeasurable
 from kafka.metrics.stats import Avg, Count, Max, Rate

kafka/producer/base.py

@@ -14,13 +14,13 @@
 
 from kafka.vendor import six
 
-from kafka.structs import (
-    ProduceRequestPayload, ProduceResponsePayload, TopicPartition, RetryOptions)
 from kafka.errors import (
     kafka_errors, UnsupportedCodecError, FailedPayloadsError,
     RequestTimedOutError, AsyncProducerQueueFull, UnknownError,
     RETRY_ERROR_TYPES, RETRY_BACKOFF_ERROR_TYPES, RETRY_REFRESH_ERROR_TYPES)
 from kafka.protocol import CODEC_NONE, ALL_CODECS, create_message_set
+from kafka.structs import (
+    ProduceRequestPayload, ProduceResponsePayload, TopicPartition, RetryOptions)
 
 log = logging.getLogger('kafka.producer')
 

kafka/producer/kafka.py

@@ -10,18 +10,18 @@
 
 from kafka.vendor import six
 
-from kafka import errors as Errors
+import kafka.errors as Errors
 from kafka.client_async import KafkaClient, selectors
 from kafka.codec import has_gzip, has_snappy, has_lz4
 from kafka.metrics import MetricConfig, Metrics
 from kafka.partitioner.default import DefaultPartitioner
+from kafka.producer.future import FutureRecordMetadata, FutureProduceResult
+from kafka.producer.record_accumulator import AtomicInteger, RecordAccumulator
+from kafka.producer.sender import Sender
 from kafka.record.default_records import DefaultRecordBatchBuilder
 from kafka.record.legacy_records import LegacyRecordBatchBuilder
 from kafka.serializer import Serializer
 from kafka.structs import TopicPartition
-from kafka.producer.future import FutureRecordMetadata, FutureProduceResult
-from kafka.producer.record_accumulator import AtomicInteger, RecordAccumulator
-from kafka.producer.sender import Sender
 
 
 log = logging.getLogger(__name__)

kafka/producer/record_accumulator.py

@@ -6,12 +6,12 @@
 import threading
 import time
 
-from kafka import errors as Errors
+import kafka.errors as Errors
 from kafka.producer.buffer import SimpleBufferPool
 from kafka.producer.future import FutureRecordMetadata, FutureProduceResult
-from kafka.structs import TopicPartition
 from kafka.record.memory_records import MemoryRecordsBuilder
 from kafka.record.legacy_records import LegacyRecordBatchBuilder
+from kafka.structs import TopicPartition
 
 
 log = logging.getLogger(__name__)

kafka/protocol/legacy.py

@@ -15,7 +15,6 @@
 
 from kafka.codec import gzip_encode, snappy_encode
 from kafka.errors import ProtocolError, UnsupportedCodecError
-from kafka.structs import ConsumerMetadataResponse
 from kafka.util import (
     crc32, read_short_string, relative_unpack,
     write_int_string, group_by_topic_and_partition)
@@ -322,7 +321,7 @@ def encode_consumer_metadata_request(cls, client_id, correlation_id, payloads):
     @classmethod
     def decode_consumer_metadata_response(cls, data):
         """
-        Decode bytes to a ConsumerMetadataResponse
+        Decode bytes to a kafka.structs.ConsumerMetadataResponse
 
         Arguments:
             data: bytes to decode
@@ -331,7 +330,7 @@ def decode_consumer_metadata_response(cls, data):
         (host, cur) = read_short_string(data, cur)
         ((port,), cur) = relative_unpack('>i', data, cur)
 
-        return ConsumerMetadataResponse(error, nodeId, host, port)
+        return kafka.structs.ConsumerMetadataResponse(error, nodeId, host, port)
 
     @classmethod
     def encode_offset_commit_request(cls, group, payloads):

kafka/structs.py

@@ -93,7 +93,3 @@
 # Limit value: int >= 0, 0 means no retries
 RetryOptions = namedtuple("RetryOptions",
     ["limit", "backoff_ms", "retry_on_timeouts"])
-
-
-# Support legacy imports from kafka.common
-from kafka.errors import *

test/test_client_async.py

@@ -13,14 +13,13 @@
 import pytest
 
 from kafka.client_async import KafkaClient, IdleConnectionManager
+from kafka.cluster import ClusterMetadata
 from kafka.conn import ConnectionStates
 import kafka.errors as Errors
 from kafka.future import Future
 from kafka.protocol.metadata import MetadataResponse, MetadataRequest
 from kafka.protocol.produce import ProduceRequest
 from kafka.structs import BrokerMetadata
-from kafka.cluster import ClusterMetadata
-from kafka.future import Future
 
 
 @pytest.fixture

test/test_conn.py

@@ -13,7 +13,7 @@
 from kafka.protocol.metadata import MetadataRequest
 from kafka.protocol.produce import ProduceRequest
 
-import kafka.common as Errors
+import kafka.errors as Errors
 
 
 @pytest.fixture

test/test_coordinator.py

@@ -5,7 +5,6 @@
 import pytest
 
 from kafka.client_async import KafkaClient
-from kafka.structs import TopicPartition, OffsetAndMetadata
 from kafka.consumer.subscription_state import (
     SubscriptionState, ConsumerRebalanceListener)
 from kafka.coordinator.assignors.range import RangePartitionAssignor
@@ -21,6 +20,7 @@
     OffsetCommitRequest, OffsetCommitResponse,
     OffsetFetchRequest, OffsetFetchResponse)
 from kafka.protocol.metadata import MetadataResponse
+from kafka.structs import TopicPartition, OffsetAndMetadata
 from kafka.util import WeakMethod
 
 
@@ -34,7 +34,7 @@ def coordinator(client):
 
 
 def test_init(client, coordinator):
-    # metadata update on init 
+    # metadata update on init
     assert client.cluster._need_update is True
     assert WeakMethod(coordinator._handle_metadata_update) in client.cluster._listeners
 
@@ -542,7 +542,7 @@ def test_send_offset_fetch_request_success(patched_coord, partitions):
     response = OffsetFetchResponse[0]([('foobar', [(0, 123, b'', 0), (1, 234, b'', 0)])])
     _f.success(response)
     patched_coord._handle_offset_fetch_response.assert_called_with(
-        future, response) 
+        future, response)
 
 
 @pytest.mark.parametrize('response,error,dead', [

test/test_fetcher.py

@@ -12,16 +12,16 @@
     CompletedFetch, ConsumerRecord, Fetcher, NoOffsetForPartitionError
 )
 from kafka.consumer.subscription_state import SubscriptionState
+from kafka.future import Future
 from kafka.metrics import Metrics
 from kafka.protocol.fetch import FetchRequest, FetchResponse
 from kafka.protocol.offset import OffsetResponse
-from kafka.structs import TopicPartition
-from kafka.future import Future
 from kafka.errors import (
     StaleMetadata, LeaderNotAvailableError, NotLeaderForPartitionError,
     UnknownTopicOrPartitionError, OffsetOutOfRangeError
 )
 from kafka.record.memory_records import MemoryRecordsBuilder, MemoryRecords
+from kafka.structs import TopicPartition
 
 
 @pytest.fixture

test/test_util.py

@@ -5,8 +5,8 @@
 from . import unittest
 
 import kafka.errors
-import kafka.util
 import kafka.structs
+import kafka.util
 
 
 class UtilTest(unittest.TestCase):

test/testutil.py

@@ -11,10 +11,12 @@
 from . import unittest
 
 from kafka import SimpleClient, create_message
-from kafka.errors import LeaderNotAvailableError, KafkaTimeoutError, InvalidTopicError
-from kafka.structs import OffsetRequestPayload, ProduceRequestPayload, \
-                          NotLeaderForPartitionError, UnknownTopicOrPartitionError, \
-                          FailedPayloadsError
+from kafka.errors import (
+    LeaderNotAvailableError, KafkaTimeoutError, InvalidTopicError,
+    NotLeaderForPartitionError, UnknownTopicOrPartitionError,
+    FailedPayloadsError
+)
+from kafka.structs import OffsetRequestPayload, ProduceRequestPayload
 from test.fixtures import random_string, version_str_to_list, version as kafka_version #pylint: disable=wrong-import-order
 
 def kafka_versions(*versions):