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from collections import namedtuple
###############
# Structs #
###############
# Request payloads
ProduceRequest = namedtuple("ProduceRequest",
["topic", "partition", "messages"])
FetchRequest = namedtuple("FetchRequest",
["topic", "partition", "offset", "max_bytes"])
OffsetRequest = namedtuple("OffsetRequest",
["topic", "partition", "time", "max_offsets"])
OffsetCommitRequest = namedtuple("OffsetCommitRequest",
["topic", "partition", "offset", "metadata"])
OffsetFetchRequest = namedtuple("OffsetFetchRequest", ["topic", "partition"])
# Response payloads
ProduceResponse = namedtuple("ProduceResponse",
["topic", "partition", "error", "offset"])
FetchResponse = namedtuple("FetchResponse", ["topic", "partition", "error",
"highwaterMark", "messages"])
OffsetResponse = namedtuple("OffsetResponse",
["topic", "partition", "error", "offsets"])
OffsetCommitResponse = namedtuple("OffsetCommitResponse",
["topic", "partition", "error"])
OffsetFetchResponse = namedtuple("OffsetFetchResponse",
["topic", "partition", "offset",
"metadata", "error"])
BrokerMetadata = namedtuple("BrokerMetadata", ["nodeId", "host", "port"])
PartitionMetadata = namedtuple("PartitionMetadata",
["topic", "partition", "leader",
"replicas", "isr"])
# Other useful structs
OffsetAndMessage = namedtuple("OffsetAndMessage", ["offset", "message"])
Message = namedtuple("Message", ["magic", "attributes", "key", "value"])
TopicAndPartition = namedtuple("TopicAndPartition", ["topic", "partition"])
#################
# Exceptions #
#################
class KafkaError(RuntimeError):
pass
class BrokerResponseError(KafkaError):
pass
class UnknownError(BrokerResponseError):
errno = -1
message = 'UNKNOWN'
class OffsetOutOfRangeError(BrokerResponseError):
errno = 1
message = 'OFFSET_OUT_OF_RANGE'
class InvalidMessageError(BrokerResponseError):
errno = 2
message = 'INVALID_MESSAGE'
class UnknownTopicOrPartitionError(BrokerResponseError):
errno = 3
message = 'UNKNOWN_TOPIC_OR_PARTITON'
class InvalidFetchRequestError(BrokerResponseError):
errno = 4
message = 'INVALID_FETCH_SIZE'
class LeaderNotAvailableError(BrokerResponseError):
errno = 5
message = 'LEADER_NOT_AVAILABLE'
class NotLeaderForPartitionError(BrokerResponseError):
errno = 6
message = 'NOT_LEADER_FOR_PARTITION'
class RequestTimedOutError(BrokerResponseError):
errno = 7
message = 'REQUEST_TIMED_OUT'
class BrokerNotAvailableError(BrokerResponseError):
errno = 8
message = 'BROKER_NOT_AVAILABLE'
class ReplicaNotAvailableError(BrokerResponseError):
errno = 9
message = 'REPLICA_NOT_AVAILABLE'
class MessageSizeTooLargeError(BrokerResponseError):
errno = 10
message = 'MESSAGE_SIZE_TOO_LARGE'
class StaleControllerEpochError(BrokerResponseError):
errno = 11
message = 'STALE_CONTROLLER_EPOCH'
class OffsetMetadataTooLargeError(BrokerResponseError):
errno = 12
message = 'OFFSET_METADATA_TOO_LARGE'
class StaleLeaderEpochCodeError(BrokerResponseError):
errno = 13
message = 'STALE_LEADER_EPOCH_CODE'
class KafkaUnavailableError(KafkaError):
pass
class LeaderUnavailableError(KafkaError):
pass
class PartitionUnavailableError(KafkaError):
pass
class FailedPayloadsError(KafkaError):
pass
class ConnectionError(KafkaError):
pass
class BufferUnderflowError(KafkaError):
pass
class ChecksumError(KafkaError):
pass
class ConsumerFetchSizeTooSmall(KafkaError):
pass
class ConsumerNoMoreData(KafkaError):
pass
class ProtocolError(KafkaError):
pass
class UnsupportedCodecError(KafkaError):
pass
kafka_errors = {
-1 : UnknownError,
1 : OffsetOutOfRangeError,
2 : InvalidMessageError,
3 : UnknownTopicOrPartitionError,
4 : InvalidFetchRequestError,
5 : LeaderNotAvailableError,
6 : NotLeaderForPartitionError,
7 : RequestTimedOutError,
8 : BrokerNotAvailableError,
9 : ReplicaNotAvailableError,
10 : MessageSizeTooLargeError,
11 : StaleControllerEpochError,
12 : OffsetMetadataTooLargeError,
13 : StaleLeaderEpochCodeError,
}
def check_error(response):
error = kafka_errors.get(response.error)
if error:
raise error(response)
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