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# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# 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.
# ==============================================================================
"""Kafka Dataset."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.contrib.kafka.python.ops import gen_kafka_ops
from tensorflow.python.data.ops.readers import Dataset
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.framework import tensor_shape
class KafkaDataset(Dataset):
"""A Kafka Dataset that consumes the message.
"""
def __init__(self,
topics,
servers="localhost",
group="",
eof=False,
timeout=1000):
"""Create a KafkaReader.
Args:
topics: A `tf.string` tensor containing one or more subscriptions,
in the format of [topic:partition:offset:length],
by default length is -1 for unlimited.
servers: A list of bootstrap servers.
group: The consumer group id.
eof: If True, the kafka reader will stop on EOF.
timeout: The timeout value for the Kafka Consumer to wait
(in millisecond).
"""
super(KafkaDataset, self).__init__()
self._topics = ops.convert_to_tensor(
topics, dtype=dtypes.string, name="topics")
self._servers = ops.convert_to_tensor(
servers, dtype=dtypes.string, name="servers")
self._group = ops.convert_to_tensor(
group, dtype=dtypes.string, name="group")
self._eof = ops.convert_to_tensor(eof, dtype=dtypes.bool, name="eof")
self._timeout = ops.convert_to_tensor(
timeout, dtype=dtypes.int64, name="timeout")
def _as_variant_tensor(self):
return gen_kafka_ops.kafka_dataset(self._topics, self._servers, self._group,
self._eof, self._timeout)
@property
def output_classes(self):
return ops.Tensor
@property
def output_shapes(self):
return tensor_shape.scalar()
@property
def output_types(self):
return dtypes.string
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