{
    "info": {
        "author": "Nikita Makeev",
        "author_email": "whale2.box@gmail.com",
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        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.7",
            "Topic :: Internet",
            "Topic :: Software Development :: Libraries"
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        "description": "# async-kinesis-client\nPython Kinesis Client library utilising asyncio\n\nBased on Kinesis-Python project by Evan Borgstrom <eborgstrom@nerdwallet.com>\nhttps://github.com/NerdWalletOSS/kinesis-python but with asyncio magic\n\nThe problem with Kinesis-Python is that all the data ends up in a single thread \nand being checkpointed from there - so despite having many processes, the client\nis clogged by checkpointing. Besides, it checkpoints every single record and this is\nnot configurable.\n\nThis client is based on aioboto3 library and uses Python 3.6+ async methods.\n\nUsage:\n\n```python\nimport asyncio\nfrom async_kinesis_client.kinesis_consumer import AsyncKinesisConsumer\n\nasync def read_stream():\n\n    # This is a coroutine that reads all the records from a shard\n    async def read_records(shard_reader):\n        async for records in shard_reader.get_records():\n            for r in records:\n                print('Shard: {}; Record: {}'.format(shard_reader.shard_id, r))\n\n    consumer = AsyncKinesisConsumer(\n                stream_name='my-stream',\n                checkpoint_table='my-checkpoint-table')\n\n    # consumer will yield existing shards and will continue yielding\n    # new shards if re-sharding happens             \n    async for shard_reader in consumer.get_shard_readers():\n        print('Got shard reader for shard id: {}'.format(shard_reader.shard_id))\n        asyncio.ensure_future(read_records(shard_reader)) \n\nasyncio.get_event_loop().run_until_complete(read_stream())\n\n```\n\n*AsyncShardReader* and *AsyncKinesisConsumer* can be stopped from parallel coroutine by calling *stop()* method,\nconsumer will stop all shard readers in that case.\nIf you want to be notified of shard closing, catch *ShardClosedException* while reading records\n\n*AsyncShardReader* exposes property millis_behind_latest which could be useful for determining application performance.\n\n*AsyncKinesisConsumer* has following configuration methods:\n\n*set_checkpoint_interval(records)* - how many records to skip before checkpointing\n\n*set_lock_duration(time)* - how many seconds to hold the lock. Consumer would attempt to refresh the lock before that time\n\n*set_reader_sleep_time(time)* - how long should shard reader wait (in seconds, fractions possible) if it did not receive any records from Kinesis stream\n\n*set_checkpoint_callback(coro)* - set callback coroutine to be called before checkpointing next batch of records. Coroutine arguments: *ShardId*, *SequenceNumber*\n\nProducer is rather trivial:\n\n```python\nfrom async_kinesis_client.kinesis_producer import AsyncKinesisProducer\n\n# ...\n\nasync def write_stream():\n    producer = AsyncKinesisProducer(\n        stream_name='my-stream',\n        ordered=True\n    )\n\n    await producer.put_record(\n        record=b'bytes',\n        partition_key='string',     # optional, if none, default time-based key is used\n        explicit_hash_key='string'  # optional\n    )\n\n```\n\nSending multiple records at once:\n\n```python\nfrom async_kinesis_client.kinesis_producer import AsyncKinesisProducer\n\n# ...\n\nasync def write_stream():\n    producer = AsyncKinesisProducer(\n        stream_name='my-stream',\n        ordered=True\n    )\n\n    records = [\n        {\n            'Data': b'bytes',\n            'PartitionKey': 'string',   # optional, if none, default time-based key is used\n            'ExplicitHashKey': 'string' # optional\n        },\n        ...\n    ]\n\n    response = await producer.put_records(\n        records=records\n    )\n\n    # See boto3 docs for response structure:\n    # https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/kinesis.html#Kinesis.Client.put_records\n```\n\n\nAWS authentication. For testing outside AWS cloud, especially when Mutil-Factor Authentication is in use I find following snippet extremely useful:\n```python\nimport os\nimport aioboto3\nfrom botocore import credentials\nfrom aiobotocore import AioSession\n\n    working_dir = os.path.join(os.path.expanduser('~'), '.aws/cli/cache')\n    session = AioSession(profile=os.environ.get('AWS_PROFILE'))\n    provider = session.get_component('credential_provider').get_provider('assume-role')\n    provider.cache = credentials.JSONFileCache(working_dir)\n    aioboto3.setup_default_session(botocore_session=session)\n\n```\n\nThis allows re-using cached session token after completing any aws command under *awsudo*, all you need is to set AWS_PROFILE environment variable.\n\nCurrently library still not tested enough for different network events.\nUse it on your own risk, you've been warned.\n\n\n",
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