automatic import of python-async-kinesis-client

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+/async-kinesis-client-0.2.14.tar.gz
diff --git a/python-async-kinesis-client.spec b/python-async-kinesis-client.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-async-kinesis-client
+Version:	0.2.14
+Release:	1
+Summary:	Asynchronous Python client for AWS Kinesis
+License:	MIT
+URL:		https://github.com/whale2/async-kinesis-client
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/b0/5e/e2d9b293c8cd76605beba210241b54badc8e33c1e46dd584a5681e0c0247/async-kinesis-client-0.2.14.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-aioboto3
+Requires:	python3-multidict
+
+%description
+# async-kinesis-client
+Python Kinesis Client library utilising asyncio
+
+Based on Kinesis-Python project by Evan Borgstrom <eborgstrom@nerdwallet.com>
+https://github.com/NerdWalletOSS/kinesis-python but with asyncio magic
+
+The problem with Kinesis-Python is that all the data ends up in a single thread 
+and being checkpointed from there - so despite having many processes, the client
+is clogged by checkpointing. Besides, it checkpoints every single record and this is
+not configurable.
+
+This client is based on aioboto3 library and uses Python 3.6+ async methods.
+
+Usage:
+
+```python
+import asyncio
+from async_kinesis_client.kinesis_consumer import AsyncKinesisConsumer
+
+async def read_stream():
+
+    # This is a coroutine that reads all the records from a shard
+    async def read_records(shard_reader):
+        async for records in shard_reader.get_records():
+            for r in records:
+                print('Shard: {}; Record: {}'.format(shard_reader.shard_id, r))
+
+    consumer = AsyncKinesisConsumer(
+                stream_name='my-stream',
+                checkpoint_table='my-checkpoint-table')
+
+    # consumer will yield existing shards and will continue yielding
+    # new shards if re-sharding happens             
+    async for shard_reader in consumer.get_shard_readers():
+        print('Got shard reader for shard id: {}'.format(shard_reader.shard_id))
+        asyncio.ensure_future(read_records(shard_reader)) 
+
+asyncio.get_event_loop().run_until_complete(read_stream())
+
+```
+
+*AsyncShardReader* and *AsyncKinesisConsumer* can be stopped from parallel coroutine by calling *stop()* method,
+consumer will stop all shard readers in that case.
+If you want to be notified of shard closing, catch *ShardClosedException* while reading records
+
+*AsyncShardReader* exposes property millis_behind_latest which could be useful for determining application performance.
+
+*AsyncKinesisConsumer* has following configuration methods:
+
+*set_checkpoint_interval(records)* - how many records to skip before checkpointing
+
+*set_lock_duration(time)* - how many seconds to hold the lock. Consumer would attempt to refresh the lock before that time
+
+*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
+
+*set_checkpoint_callback(coro)* - set callback coroutine to be called before checkpointing next batch of records. Coroutine arguments: *ShardId*, *SequenceNumber*
+
+Producer is rather trivial:
+
+```python
+from async_kinesis_client.kinesis_producer import AsyncKinesisProducer
+
+# ...
+
+async def write_stream():
+    producer = AsyncKinesisProducer(
+        stream_name='my-stream',
+        ordered=True
+    )
+
+    await producer.put_record(
+        record=b'bytes',
+        partition_key='string',     # optional, if none, default time-based key is used
+        explicit_hash_key='string'  # optional
+    )
+
+```
+
+Sending multiple records at once:
+
+```python
+from async_kinesis_client.kinesis_producer import AsyncKinesisProducer
+
+# ...
+
+async def write_stream():
+    producer = AsyncKinesisProducer(
+        stream_name='my-stream',
+        ordered=True
+    )
+
+    records = [
+        {
+            'Data': b'bytes',
+            'PartitionKey': 'string',   # optional, if none, default time-based key is used
+            'ExplicitHashKey': 'string' # optional
+        },
+        ...
+    ]
+
+    response = await producer.put_records(
+        records=records
+    )
+
+    # See boto3 docs for response structure:
+    # https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/kinesis.html#Kinesis.Client.put_records
+```
+
+
+AWS authentication. For testing outside AWS cloud, especially when Mutil-Factor Authentication is in use I find following snippet extremely useful:
+```python
+import os
+import aioboto3
+from botocore import credentials
+from aiobotocore import AioSession
+
+    working_dir = os.path.join(os.path.expanduser('~'), '.aws/cli/cache')
+    session = AioSession(profile=os.environ.get('AWS_PROFILE'))
+    provider = session.get_component('credential_provider').get_provider('assume-role')
+    provider.cache = credentials.JSONFileCache(working_dir)
+    aioboto3.setup_default_session(botocore_session=session)
+
+```
+
+This allows re-using cached session token after completing any aws command under *awsudo*, all you need is to set AWS_PROFILE environment variable.
+
+Currently library still not tested enough for different network events.
+Use it on your own risk, you've been warned.
+
+
+
+
+%package -n python3-async-kinesis-client
+Summary:	Asynchronous Python client for AWS Kinesis
+Provides:	python-async-kinesis-client
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-async-kinesis-client
+# async-kinesis-client
+Python Kinesis Client library utilising asyncio
+
+Based on Kinesis-Python project by Evan Borgstrom <eborgstrom@nerdwallet.com>
+https://github.com/NerdWalletOSS/kinesis-python but with asyncio magic
+
+The problem with Kinesis-Python is that all the data ends up in a single thread 
+and being checkpointed from there - so despite having many processes, the client
+is clogged by checkpointing. Besides, it checkpoints every single record and this is
+not configurable.
+
+This client is based on aioboto3 library and uses Python 3.6+ async methods.
+
+Usage:
+
+```python
+import asyncio
+from async_kinesis_client.kinesis_consumer import AsyncKinesisConsumer
+
+async def read_stream():
+
+    # This is a coroutine that reads all the records from a shard
+    async def read_records(shard_reader):
+        async for records in shard_reader.get_records():
+            for r in records:
+                print('Shard: {}; Record: {}'.format(shard_reader.shard_id, r))
+
+    consumer = AsyncKinesisConsumer(
+                stream_name='my-stream',
+                checkpoint_table='my-checkpoint-table')
+
+    # consumer will yield existing shards and will continue yielding
+    # new shards if re-sharding happens             
+    async for shard_reader in consumer.get_shard_readers():
+        print('Got shard reader for shard id: {}'.format(shard_reader.shard_id))
+        asyncio.ensure_future(read_records(shard_reader)) 
+
+asyncio.get_event_loop().run_until_complete(read_stream())
+
+```
+
+*AsyncShardReader* and *AsyncKinesisConsumer* can be stopped from parallel coroutine by calling *stop()* method,
+consumer will stop all shard readers in that case.
+If you want to be notified of shard closing, catch *ShardClosedException* while reading records
+
+*AsyncShardReader* exposes property millis_behind_latest which could be useful for determining application performance.
+
+*AsyncKinesisConsumer* has following configuration methods:
+
+*set_checkpoint_interval(records)* - how many records to skip before checkpointing
+
+*set_lock_duration(time)* - how many seconds to hold the lock. Consumer would attempt to refresh the lock before that time
+
+*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
+
+*set_checkpoint_callback(coro)* - set callback coroutine to be called before checkpointing next batch of records. Coroutine arguments: *ShardId*, *SequenceNumber*
+
+Producer is rather trivial:
+
+```python
+from async_kinesis_client.kinesis_producer import AsyncKinesisProducer
+
+# ...
+
+async def write_stream():
+    producer = AsyncKinesisProducer(
+        stream_name='my-stream',
+        ordered=True
+    )
+
+    await producer.put_record(
+        record=b'bytes',
+        partition_key='string',     # optional, if none, default time-based key is used
+        explicit_hash_key='string'  # optional
+    )
+
+```
+
+Sending multiple records at once:
+
+```python
+from async_kinesis_client.kinesis_producer import AsyncKinesisProducer
+
+# ...
+
+async def write_stream():
+    producer = AsyncKinesisProducer(
+        stream_name='my-stream',
+        ordered=True
+    )
+
+    records = [
+        {
+            'Data': b'bytes',
+            'PartitionKey': 'string',   # optional, if none, default time-based key is used
+            'ExplicitHashKey': 'string' # optional
+        },
+        ...
+    ]
+
+    response = await producer.put_records(
+        records=records
+    )
+
+    # See boto3 docs for response structure:
+    # https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/kinesis.html#Kinesis.Client.put_records
+```
+
+
+AWS authentication. For testing outside AWS cloud, especially when Mutil-Factor Authentication is in use I find following snippet extremely useful:
+```python
+import os
+import aioboto3
+from botocore import credentials
+from aiobotocore import AioSession
+
+    working_dir = os.path.join(os.path.expanduser('~'), '.aws/cli/cache')
+    session = AioSession(profile=os.environ.get('AWS_PROFILE'))
+    provider = session.get_component('credential_provider').get_provider('assume-role')
+    provider.cache = credentials.JSONFileCache(working_dir)
+    aioboto3.setup_default_session(botocore_session=session)
+
+```
+
+This allows re-using cached session token after completing any aws command under *awsudo*, all you need is to set AWS_PROFILE environment variable.
+
+Currently library still not tested enough for different network events.
+Use it on your own risk, you've been warned.
+
+
+
+
+%package help
+Summary:	Development documents and examples for async-kinesis-client
+Provides:	python3-async-kinesis-client-doc
+%description help
+# async-kinesis-client
+Python Kinesis Client library utilising asyncio
+
+Based on Kinesis-Python project by Evan Borgstrom <eborgstrom@nerdwallet.com>
+https://github.com/NerdWalletOSS/kinesis-python but with asyncio magic
+
+The problem with Kinesis-Python is that all the data ends up in a single thread 
+and being checkpointed from there - so despite having many processes, the client
+is clogged by checkpointing. Besides, it checkpoints every single record and this is
+not configurable.
+
+This client is based on aioboto3 library and uses Python 3.6+ async methods.
+
+Usage:
+
+```python
+import asyncio
+from async_kinesis_client.kinesis_consumer import AsyncKinesisConsumer
+
+async def read_stream():
+
+    # This is a coroutine that reads all the records from a shard
+    async def read_records(shard_reader):
+        async for records in shard_reader.get_records():
+            for r in records:
+                print('Shard: {}; Record: {}'.format(shard_reader.shard_id, r))
+
+    consumer = AsyncKinesisConsumer(
+                stream_name='my-stream',
+                checkpoint_table='my-checkpoint-table')
+
+    # consumer will yield existing shards and will continue yielding
+    # new shards if re-sharding happens             
+    async for shard_reader in consumer.get_shard_readers():
+        print('Got shard reader for shard id: {}'.format(shard_reader.shard_id))
+        asyncio.ensure_future(read_records(shard_reader)) 
+
+asyncio.get_event_loop().run_until_complete(read_stream())
+
+```
+
+*AsyncShardReader* and *AsyncKinesisConsumer* can be stopped from parallel coroutine by calling *stop()* method,
+consumer will stop all shard readers in that case.
+If you want to be notified of shard closing, catch *ShardClosedException* while reading records
+
+*AsyncShardReader* exposes property millis_behind_latest which could be useful for determining application performance.
+
+*AsyncKinesisConsumer* has following configuration methods:
+
+*set_checkpoint_interval(records)* - how many records to skip before checkpointing
+
+*set_lock_duration(time)* - how many seconds to hold the lock. Consumer would attempt to refresh the lock before that time
+
+*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
+
+*set_checkpoint_callback(coro)* - set callback coroutine to be called before checkpointing next batch of records. Coroutine arguments: *ShardId*, *SequenceNumber*
+
+Producer is rather trivial:
+
+```python
+from async_kinesis_client.kinesis_producer import AsyncKinesisProducer
+
+# ...
+
+async def write_stream():
+    producer = AsyncKinesisProducer(
+        stream_name='my-stream',
+        ordered=True
+    )
+
+    await producer.put_record(
+        record=b'bytes',
+        partition_key='string',     # optional, if none, default time-based key is used
+        explicit_hash_key='string'  # optional
+    )
+
+```
+
+Sending multiple records at once:
+
+```python
+from async_kinesis_client.kinesis_producer import AsyncKinesisProducer
+
+# ...
+
+async def write_stream():
+    producer = AsyncKinesisProducer(
+        stream_name='my-stream',
+        ordered=True
+    )
+
+    records = [
+        {
+            'Data': b'bytes',
+            'PartitionKey': 'string',   # optional, if none, default time-based key is used
+            'ExplicitHashKey': 'string' # optional
+        },
+        ...
+    ]
+
+    response = await producer.put_records(
+        records=records
+    )
+
+    # See boto3 docs for response structure:
+    # https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/kinesis.html#Kinesis.Client.put_records
+```
+
+
+AWS authentication. For testing outside AWS cloud, especially when Mutil-Factor Authentication is in use I find following snippet extremely useful:
+```python
+import os
+import aioboto3
+from botocore import credentials
+from aiobotocore import AioSession
+
+    working_dir = os.path.join(os.path.expanduser('~'), '.aws/cli/cache')
+    session = AioSession(profile=os.environ.get('AWS_PROFILE'))
+    provider = session.get_component('credential_provider').get_provider('assume-role')
+    provider.cache = credentials.JSONFileCache(working_dir)
+    aioboto3.setup_default_session(botocore_session=session)
+
+```
+
+This allows re-using cached session token after completing any aws command under *awsudo*, all you need is to set AWS_PROFILE environment variable.
+
+Currently library still not tested enough for different network events.
+Use it on your own risk, you've been warned.
+
+
+
+
+%prep
+%autosetup -n async-kinesis-client-0.2.14
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-async-kinesis-client -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 0.2.14-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..8b6e616
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+07c7195217d203b77ef2f3c15dc4ab07  async-kinesis-client-0.2.14.tar.gz