Metadata-Version: 2.1
Name: pynamodb
Version: 4.3.2
Summary: A Pythonic Interface to DynamoDB
Home-page: http://jlafon.io/pynamodb.html
Author: Jharrod LaFon
Author-email: jlafon@eyesopen.com
License: MIT
Keywords: python dynamodb amazon
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: License :: OSI Approved :: MIT License
Requires-Dist: six
Requires-Dist: botocore (>=1.12.54)
Requires-Dist: python-dateutil (<3.0.0,>=2.1)
Provides-Extra: signals
Requires-Dist: blinker (<2.0,>=1.3) ; extra == 'signals'

========
PynamoDB
========

.. image:: https://img.shields.io/pypi/v/pynamodb.svg
    :target: https://pypi.python.org/pypi/pynamodb/
.. image:: https://img.shields.io/conda/vn/conda-forge/pynamodb.svg
    :target: https://anaconda.org/conda-forge/pynamodb
.. image:: https://img.shields.io/travis/pynamodb/PynamoDB/master.svg
    :target: https://travis-ci.org/pynamodb/PynamoDB
.. image:: https://img.shields.io/coveralls/pynamodb/PynamoDB/master.svg
    :target: https://coveralls.io/r/pynamodb/PynamoDB

A Pythonic interface for Amazon's `DynamoDB <http://aws.amazon.com/dynamodb/>`_ that supports
Python 2 and 3.

DynamoDB is a great NoSQL service provided by Amazon, but the API is verbose.
PynamoDB presents you with a simple, elegant API.

Useful links:

* See the full documentation at https://pynamodb.readthedocs.io/
* Ask questions in the `GitHub issues <https://github.com/pynamodb/PynamoDB/issues>`_
* See release notes at https://pynamodb.readthedocs.io/en/latest/release_notes.html

Installation
============
From PyPi::

    $ pip install pynamodb

From GitHub::

    $ pip install git+https://github.com/pynamodb/PynamoDB#egg=pynamodb

From conda-forge::

    $ conda install -c conda-forge pynamodb

Upgrading
=========

.. warning::

    The behavior of 'UnicodeSetAttribute' has changed in backwards-incompatible ways
    as of the 1.6.0 and 3.0.1 releases of PynamoDB.

The following steps can be used to safely update PynamoDB assuming that the data stored
in the item's UnicodeSetAttribute is not JSON. If JSON is being stored, these steps will
not work and a custom migration plan is required. Be aware that values such as numeric
strings (i.e. "123") are valid JSON.

When upgrading services that use PynamoDB with tables that contain UnicodeSetAttributes
with a version < 1.6.0, first deploy version 1.5.4 to prepare the read path for the new
serialization format.

Once all services that read from the tables have been deployed, then deploy version 2.2.0
and migrate your data using the provided convenience methods on the Model.
(Note: these methods are only available in version 2.2.0)

.. code-block:: python

    def get_save_kwargs(item):
        # any conditional args needed to ensure data does not get overwritten
        # for example if your item has a `version` attribute
        {'version__eq': item.version}

    # Re-serialize all UnicodeSetAttributes in the table by scanning all items.
    # See documentation of fix_unicode_set_attributes for rate limiting options
    # to avoid exceeding provisioned capacity.
    Model.fix_unicode_set_attributes(get_save_kwargs)

    # Verify the migration is complete
    print("Migration Complete? " + Model.needs_unicode_set_fix())

Once all data has been migrated then upgrade to a version >= 3.0.1.

Basic Usage
===========

Create a model that describes your DynamoDB table.

.. code-block:: python

    from pynamodb.models import Model
    from pynamodb.attributes import UnicodeAttribute

    class UserModel(Model):
        """
        A DynamoDB User
        """
        class Meta:
            table_name = "dynamodb-user"
        email = UnicodeAttribute(null=True)
        first_name = UnicodeAttribute(range_key=True)
        last_name = UnicodeAttribute(hash_key=True)

PynamoDB allows you to create the table if needed (it must exist before you can use it!):

.. code-block:: python

    UserModel.create_table(read_capacity_units=1, write_capacity_units=1)

Create a new user:

.. code-block:: python

    user = UserModel("John", "Denver")
    user.email = "djohn@company.org"
    user.save()

Now, search your table for all users with a last name of 'Denver' and whose
first name begins with 'J':

.. code-block:: python

    for user in UserModel.query("Denver", UserModel.first_name.startswith("J")):
        print(user.first_name)

Examples of ways to query your table with filter conditions:

.. code-block:: python

    for user in UserModel.query("Denver", UserModel.email=="djohn@company.org"):
        print(user.first_name)

.. code-block:: python

    for user in UserModel.query("Denver", UserModel.email=="djohn@company.org"):
        print(user.first_name)

Retrieve an existing user:

.. code-block:: python

    try:
        user = UserModel.get("John", "Denver")
        print(user)
    except UserModel.DoesNotExist:
        print("User does not exist")

Advanced Usage
==============

Want to use indexes? No problem:

.. code-block:: python

    from pynamodb.models import Model
    from pynamodb.indexes import GlobalSecondaryIndex, AllProjection
    from pynamodb.attributes import NumberAttribute, UnicodeAttribute

    class ViewIndex(GlobalSecondaryIndex):
        class Meta:
            read_capacity_units = 2
            write_capacity_units = 1
            projection = AllProjection()
        view = NumberAttribute(default=0, hash_key=True)

    class TestModel(Model):
        class Meta:
            table_name = "TestModel"
        forum = UnicodeAttribute(hash_key=True)
        thread = UnicodeAttribute(range_key=True)
        view = NumberAttribute(default=0)
        view_index = ViewIndex()

Now query the index for all items with 0 views:

.. code-block:: python

    for item in TestModel.view_index.query(0):
        print("Item queried from index: {0}".format(item))

It's really that simple.


Want to use DynamoDB local? Just add a ``host`` name attribute and specify your local server.

.. code-block:: python

    from pynamodb.models import Model
    from pynamodb.attributes import UnicodeAttribute

    class UserModel(Model):
        """
        A DynamoDB User
        """
        class Meta:
            table_name = "dynamodb-user"
            host = "http://localhost:8000"
        email = UnicodeAttribute(null=True)
        first_name = UnicodeAttribute(range_key=True)
        last_name = UnicodeAttribute(hash_key=True)

Want to enable streams on a table? Just add a ``stream_view_type`` name attribute and specify
the type of data you'd like to stream.

.. code-block:: python

    from pynamodb.models import Model
    from pynamodb.attributes import UnicodeAttribute
    from pynamodb.constants import STREAM_NEW_AND_OLD_IMAGE

    class AnimalModel(Model):
        """
        A DynamoDB Animal
        """
        class Meta:
            table_name = "dynamodb-user"
            host = "http://localhost:8000"
            stream_view_type = STREAM_NEW_AND_OLD_IMAGE
        type = UnicodeAttribute(null=True)
        name = UnicodeAttribute(range_key=True)
        id = UnicodeAttribute(hash_key=True)

Want to backup and restore a table? No problem.

.. code-block:: python

    # Backup the table
    UserModel.dump("usermodel_backup.json")

    # Restore the table
    UserModel.load("usermodel_backup.json")


Features
========

* Python >= 3.3, and 2.7 support
* An ORM-like interface with query and scan filters
* Compatible with DynamoDB Local
* Supports the entire DynamoDB API
* Full table backup/restore
* Support for Unicode, Binary, JSON, Number, Set, and UTC Datetime attributes
* Support for Global and Local Secondary Indexes
* Provides iterators for working with queries, scans, that are automatically paginated
* Automatic pagination for bulk operations
* Complex queries
* Batch operations with automatic pagination
* Iterators for working with Query and Scan operations



