mirror of
https://github.com/sprockets/sprockets.clients.dynamodb.git
synced 2024-11-23 11:19:54 +00:00
Initial import of code from other projects.
This commit is contained in:
parent
00676c8051
commit
8641bebdca
9 changed files with 456 additions and 2 deletions
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@ -1,4 +1,5 @@
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API Documentation
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=================
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.. automodule:: sprockets.clients.dynamodb
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.. autoclass:: sprockets.clients.dynamodb.DynamoDB
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:members:
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6
docs/examples.rst
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6
docs/examples.rst
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Examples
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========
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Creating a Table
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----------------
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.. literalinclude:: ../examples/create-table.py
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@ -4,5 +4,6 @@
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:hidden:
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api
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examples
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contributing
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history
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0
examples/__init__.py
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0
examples/__init__.py
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79
examples/create-table.py
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79
examples/create-table.py
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"""
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Create the table described in `CreateTable`_.
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This example creates a table if it does not exist using chained
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callbacks.
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.. _CreateTable: http://docs.aws.amazon.com/amazondynamodb/latest/
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APIReference/API_CreateTable.html
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"""
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import logging
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import sys
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from sprockets.clients import dynamodb
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from tornado import ioloop
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LOGGER = logging.getLogger('create-database')
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TABLE_DEF = {
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'TableName': 'Thread',
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'AttributeDefinitions': [
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{'AttributeName': 'ForumName', 'AttributeType': 'S'},
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{'AttributeName': 'Subject', 'AttributeType': 'S'},
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{'AttributeName': 'LastPostDateTime', 'AttributeType': 'S'},
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],
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'KeySchema': [
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{'AttributeName': 'ForumName', 'KeyType': 'HASH'},
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{'AttributeName': 'Subject', 'KeyType': 'RANGE'},
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],
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'LocalSecondaryIndexes': [
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{
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'IndexName': 'LastPostIndex',
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'KeySchema': [
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{'AttributeName': 'ForumName', 'KeyType': 'HASH'},
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{'AttributeName': 'LastPostDateTime', 'KeyType': 'RANGE'},
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],
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'Projection': {
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'ProjectionType': 'KEYS_ONLY',
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},
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},
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],
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'ProvisionedThroughput': {
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'ReadCapacityUnits': 5,
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'WriteCapacityUnits': 5,
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}
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}
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dynamo = dynamodb.DynamoDB()
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iol = ioloop.IOLoop.instance()
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def on_table_described(describe_response):
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def on_created(create_response):
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try:
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result = create_response.result()
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LOGGER.info('table created - %r', result)
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iol.add_callback(iol.stop)
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except Exception:
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LOGGER.exception('failed to create table')
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sys.exit(-1)
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try:
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result = describe_response.result()
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LOGGER.info('found table %s, created %s',
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result['Table']['TableName'],
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result['Table']['CreationDateTime'])
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iol.add_callback(iol.stop)
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except Exception as error:
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LOGGER.warn('table not found, attempting to create: %s', error)
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next_future = dynamo.create_table(TABLE_DEF)
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iol.add_future(next_future, on_created)
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logging.basicConfig(level=logging.DEBUG,
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format='%(levelname)1.1s %(name)s: %(message)s')
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iol.add_future(dynamo.describe_table(TABLE_DEF['TableName']),
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on_table_described)
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iol.start()
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2
setup.py
2
setup.py
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install_requires=read_requirements('installation.txt'),
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license='BSD',
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namespace_packages=['sprockets', 'sprockets.clients'],
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packages=setuptools.find_packages(),
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packages=setuptools.find_packages(exclude=['examples']),
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classifiers=[
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'Development Status :: 1 - Planning',
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'Environment :: No Input/Output (Daemon)',
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try:
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from .connector import DynamoDB
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except ImportError as error:
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def DynamoDB(*args, **kwargs):
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raise error
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version_info = (0, 0, 0)
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__version__ = '.'.join(str(v) for v in version_info)
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__all__ = ['DynamoDB', 'version_info', '__version__']
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173
sprockets/clients/dynamodb/connector.py
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173
sprockets/clients/dynamodb/connector.py
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import json
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import logging
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import os
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from tornado import concurrent, ioloop
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from tornado_aws import client
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from . import utils
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LOGGER = logging.getLogger(__name__)
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class DynamoDB(object):
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"""
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Connects to a DynamoDB instance.
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:keyword str region: AWS region to send requests to
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:keyword str access_key: AWS access key. If unspecified, this
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defaults to the :envvar:`AWS_ACCESS_KEY_ID` environment
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variable and will fall back to using the AWS CLI credentials
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file. See :class:`tornado_aws.client.AsyncAWSClient` for
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more details.
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:keyword str secret_key: AWS secret used to secure API calls.
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If unspecified, this defaults to the :envvar:`AWS_SECRET_ACCESS_KEY`
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environment variable and will fall back to using the AWS CLI
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credentials as described in :class:`tornado_aws.client.AsyncAWSClient`.
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:keyword str profile: optional profile to use in AWS API calls.
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If unspecified, this defaults to the :envvar:`AWS_DEFAULT_PROFILE`
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environment variable or ``default`` if unset.
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:keyword str endpoint: DynamoDB endpoint to contact. If unspecified,
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the default is determined by the region.
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:keyword int max_clients: optional maximum number of HTTP requests
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that may be performed in parallel.
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Create an instance of this class to interact with a DynamoDB
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server. A :class:`tornado_aws.client.AsyncAWSClient` instance
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implements the AWS API wrapping and this class provides the
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DynamoDB specifics.
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"""
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def __init__(self, **kwargs):
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self.logger = LOGGER.getChild(self.__class__.__name__)
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self._client = None
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self._args = kwargs.copy()
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if os.environ.get('DYNAMODB_ENDPOINT', None):
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self._args.setdefault('endpoint', os.environ['DYNAMODB_ENDPOINT'])
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@property
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def client(self):
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if self._client is None:
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self._client = client.AsyncAWSClient('dynamodb', **self._args)
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return self._client
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def execute(self, function, body):
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"""
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Invoke a DynamoDB function.
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:param str function: DynamoDB function to invoke
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:param dict body: body to send with the function
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:rtype: tornado.concurrent.Future
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This method creates a future that will resolve to the result
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of calling the specified DynamoDB function. It does it's best
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to unwrap the response from the function to make life a little
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easier for you. It does this for the ``GetItem`` and ``Query``
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functions currrently.
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"""
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encoded = json.dumps(body).encode('utf-8')
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headers = {
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'x-amz-target': 'DynamoDB_20120810.{}'.format(function),
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'Content-Type': 'application/x-amz-json-1.0',
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}
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future = concurrent.TracebackFuture()
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def handle_response(f):
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self.logger.debug('processing %s() = %r', function, f)
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try:
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response = f.result()
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result = json.loads(response.body.decode('utf-8'))
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future.set_result(_unwrap_result(function, result))
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except Exception as exception:
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future.set_exception(exception)
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self.logger.debug('calling %s', function)
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aws_response = self.client.fetch('POST', '/', body=encoded,
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headers=headers)
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ioloop.IOLoop.current().add_future(aws_response, handle_response)
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return future
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def create_table(self, table_definition):
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"""
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Invoke the ``CreateTable`` function.
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:param dict table_definition: description of the table to
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create according to `CreateTable`_
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:rtype: tornado.concurrent.Future
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.. _CreateTable: http://docs.aws.amazon.com/amazondynamodb/
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latest/APIReference/API_CreateTable.html
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"""
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return self.execute('CreateTable', table_definition)
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def describe_table(self, table_name):
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"""
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Invoke the `DescribeTable`_ function.
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:param str table_name: name of the table to describe.
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:rtype: tornado.concurrent.Future
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.. _DescribeTable: http://docs.aws.amazon.com/amazondynamodb/
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latest/APIReference/API_DescribeTable.html
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"""
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return self.execute('DescribeTable', {'TableName': table_name})
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def delete_table(self, table_name):
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"""
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Invoke the `DeleteTable`_ function.
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:param str table_name: name of the table to describe.
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:rtype: tornado.concurrent.Future
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.. _DeleteTable: http://docs.aws.amazon.com/amazondynamodb/
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latest/APIReference/API_DeleteTable.html
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"""
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return self.execute('DeleteTable', {'TableName': table_name})
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def put_item(self, table_name, item):
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"""
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Invoke the `PutItem`_ function.
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:param str table_name: table to insert into
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:param dict item: item to insert. This will be marshalled
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for you so a native :class:`dict` of native items works.
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:rtype: tornado.concurrent.Future
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.. _PutItem: http://docs.aws.amazon.com/amazondynamodb/
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latest/APIReference/API_PutItem.html
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"""
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return self.execute('PutItem', {'TableName': table_name,
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'Item': utils.marshall(item)})
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def get_item(self, table_name, key_dict):
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"""
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Invoke the `GetItem`_ function.
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:param str table_name: table to retrieve the item from
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:param dict key_dict: key to use for retrieval. This will
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be marshalled for you so a native :class:`dict` works.
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:rtype: tornado.concurrent.Future
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.. _GetItem: http://docs.aws.amazon.com/amazondynamodb/
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latest/APIReference/API_GetItem.html
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"""
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return self.execute('GetItem', {'TableName': table_name,
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'Key': utils.marshall(key_dict)})
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def _unwrap_result(function, result):
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if result:
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if function == 'GetItem':
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return utils.unmarshall(result['Item'])
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if function == 'Query':
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return [utils.unmarshall(item) for item in result['Items']]
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return result
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187
sprockets/clients/dynamodb/utils.py
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187
sprockets/clients/dynamodb/utils.py
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"""
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Utilities for working with DynamoDB.
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- :func:`.marshall`
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- :func:`.unmarshal`
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This module contains some helpers that make working with the
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Amazon DynamoDB API a little less painful. Data is encoded as
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`AttributeValue`_ structures in the JSON payloads and this module
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defines functions that will handle the transcoding for you for
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the vast majority of types that we use.
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.. _AttributeValue: http://docs.aws.amazon.com/amazondynamodb/latest/
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APIReference/API_AttributeValue.html
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"""
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import datetime
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import uuid
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import sys
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try:
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import arrow
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except ImportError:
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arrow = None
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PYTHON3 = True if sys.version_info > (3, 0, 0) else False
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TEXTCHARS = bytearray({7,8,9,10,12,13,27} | set(range(0x20, 0x100)) - {0x7f})
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def marshall(values):
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"""
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Marshall a `dict` into something DynamoDB likes.
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:param dict values: The values to marshall
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:rtype: dict
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:raises ValueError: if an unsupported type is encountered
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Return the values in a nested dict structure that is required for
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writing the values to DynamoDB.
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"""
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serialized = {}
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for key in values:
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serialized[key] = _marshall_value(values[key])
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return serialized
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def _marshall_value(value):
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"""
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Recursively transform `value` into an AttributeValue `dict`
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:param mixed value: The value to encode
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:rtype: dict
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:raises ValueError: for unsupported types
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Return the value as dict indicating the data type and transform or
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recursively process the value if required.
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"""
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if PYTHON3 and isinstance(value, bytes):
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return {'B': value}
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elif PYTHON3 and isinstance(value, str):
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return {'S': value}
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elif not PYTHON3 and isinstance(value, str):
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if _is_binary(value):
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return {'B': value}
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return {'S': value}
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elif isinstance(value, dict):
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return {'M': marshall(value)}
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elif isinstance(value, bool):
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return {'BOOL': value}
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elif isinstance(value, (int, float)):
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return {'N': str(value)}
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elif isinstance(value, datetime.datetime):
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return {'S': value.isoformat()}
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elif arrow is not None and isinstance(value, arrow.Arrow):
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return {'S': value.isoformat()}
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elif isinstance(value, uuid.UUID):
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return {'S': str(value)}
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elif isinstance(value, list):
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return {'L': [_marshall_value(v) for v in value]}
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elif isinstance(value, set):
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if PYTHON3 and all([isinstance(v, bytes) for v in value]):
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return {'BS': sorted(list(value))}
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elif PYTHON3 and all([isinstance(v, str) for v in value]):
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return {'SS': sorted(list(value))}
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elif all([isinstance(v, (int, float)) for v in value]):
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return {'NS': sorted([str(v) for v in value])}
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elif not PYTHON3 and all([isinstance(v, str) for v in value]) and \
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all([_is_binary(v) for v in value]):
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return {'BS': sorted(list(value))}
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elif not PYTHON3 and all([isinstance(v, str) for v in value]) and \
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all([_is_binary(v) is False for v in value]):
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return {'SS': sorted(list(value))}
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else:
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raise ValueError('Can not mix types in a set')
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elif value is None:
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return {'NULL': True}
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raise ValueError('Unsupported type: %s' % type(value))
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def unmarshall(values):
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"""
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Transform a response payload from DynamoDB to a native dict
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:param dict values: The response payload from DynamoDB
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:rtype: dict
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:raises ValueError: if an unsupported type code is encountered
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"""
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unmarshalled = {}
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for key in values:
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unmarshalled[key] = _unmarshall_dict(values[key])
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return unmarshalled
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def _unmarshall_dict(value):
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"""Unmarshall a single dict value from a row that was returned from
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DynamoDB, returning the value as a normal Python dict.
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:param dict value: The value to unmarshall
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:rtype: mixed
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:raises ValueError: if an unsupported type code is encountered
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"""
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key = list(value.keys()).pop()
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if key == 'B':
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return bytes(value[key])
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elif key == 'BS':
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return set([bytes(v) for v in value[key]])
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elif key == 'BOOL':
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return value[key]
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elif key == 'L':
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return [_unmarshall_dict(v) for v in value[key]]
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elif key == 'M':
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return unmarshall(value[key])
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elif key == 'NULL':
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return None
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elif key == 'N':
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return _to_number(value[key])
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elif key == 'NS':
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return set([_to_number(v) for v in value[key]])
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elif key == 'S':
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return _maybe_convert(value[key])
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elif key == 'SS':
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return set([_maybe_convert(v) for v in value[key]])
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raise ValueError('Unsupported value type: %s' % key)
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def _to_number(value):
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"""
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Convert the string containing a number to a number
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:param str value: The value to convert
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:rtype: float|int
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"""
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return float(value) if '.' in value else int(value)
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def _maybe_convert(value):
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"""
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Try to convert a string into something useful.
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:param str value: The value to convert
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:rtype: uuid.UUID|datetime.datetime|str
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Possibly convert the value to a :py:class:`uuid.UUID` or
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:py:class:`datetime.datetime` if possible, otherwise just return
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the value.
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"""
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try:
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return uuid.UUID(value)
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except ValueError:
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return value
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def _is_binary(value):
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"""
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Check to see if a string contains binary data in Python2
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:param str value: The value to check
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:rtype: bool
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"""
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return bool(value.translate(None, TEXTCHARS))
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Reference in a new issue