semvec/pypi-packages huggingface dataset:
mja-graphene-sqlalchemy 2.2.0b0
Graphene SQLAlchemy integration
License: MIT
Keywords: api graphql protocol rest relay graphene

Please read
`UPGRADE-v2.0.md <https://github.com/graphql-python/graphene/blob/master/UPGRADE-v2.0.md>`__
to learn how to upgrade to Graphene ``2.0``.

--------------

|Graphene Logo| Graphene-SQLAlchemy |Build Status| |PyPI version| |Coverage Status|
===================================================================================

A `SQLAlchemy <http://www.sqlalchemy.org/>`__ integration for
`Graphene <http://graphene-python.org/>`__.

Installation
------------

For instaling graphene, just run this command in your shell

.. code:: bash

    pip install "graphene-sqlalchemy>=2.0"

Examples
--------

Here is a simple SQLAlchemy model:

.. code:: python

    from sqlalchemy import Column, Integer, String
    from sqlalchemy.orm import backref, relationship

    from sqlalchemy.ext.declarative import declarative_base

    Base = declarative_base()

    class UserModel(Base):
        __tablename__ = 'department'
        id = Column(Integer, primary_key=True)
        name = Column(String)
        last_name = Column(String)

To create a GraphQL schema for it you simply have to write the
following:

.. code:: python

    from graphene_sqlalchemy import SQLAlchemyObjectType

    class User(SQLAlchemyObjectType):
        class Meta:
            model = UserModel

    class Query(graphene.ObjectType):
        users = graphene.List(User)

        def resolve_users(self, info):
            query = User.get_query(info)  # SQLAlchemy query
            return query.all()

    schema = graphene.Schema(query=Query)

Then you can simply query the schema:

.. code:: python

    query = '''
        query {
          users {
            name,
            lastName
          }
        }
    '''
    result = schema.execute(query, context_value={'session': db_session})

To learn more check out the following `examples <examples/>`__:

-  **Full example**: `Flask SQLAlchemy
   example <examples/flask_sqlalchemy>`__

Contributing
------------

After cloning this repo, ensure dependencies are installed by running:

.. code:: sh

    python setup.py install

After developing, the full test suite can be evaluated by running:

.. code:: sh

    python setup.py test # Use --pytest-args="-v -s" for verbose mode

.. |Graphene Logo| image:: http://graphene-python.org/favicon.png
.. |Build Status| image:: https://travis-ci.org/graphql-python/graphene-sqlalchemy.svg?branch=master
   :target: https://travis-ci.org/graphql-python/graphene-sqlalchemy
.. |PyPI version| image:: https://badge.fury.io/py/graphene-sqlalchemy.svg
   :target: https://badge.fury.io/py/graphene-sqlalchemy
.. |Coverage Status| image:: https://coveralls.io/repos/graphql-python/graphene-sqlalchemy/badge.svg?branch=master&service=github
   :target: https://coveralls.io/github/graphql-python/graphene-sqlalchemy?branch=master
pluckit 0.6.0
extract values from collection items
License: MIT

pluckit
======
Extract values from collection items.


### Install
```pip install pluckit```


### Usage
```
from pluckit import pluck

data = [
  {'x': 1, 'y': 2},
  {'x': 2, 'y': 4},
  {'x': 3, 'y': 6},
]
pluck(data, 'x')
> [1, 2, 3]


# supports arbitrarily deep plucks and function calls
people = [
    { 'name': 'Daniel', 'friends': [ 'Josh', 'Mel' ] },
    { 'name': 'Mel', 'friends': [ 'Daniel', 'Suzy' ] },
]
pluck(people, 'friends[-1].lower[:3]')
> [ 'mel', 'suz' ]



# use Pluckables for built-in functionality

from pluckit.pluckable import PluckableList

PluckableList([
  {'x': 1, 'y': 2},
  {'x': 2, 'y': 4},
  {'x': 3, 'y': 6},
]).pluck('x')
> [1, 2, 3]


# use the Pluckable mixin to build your own

from pluckit import Pluckable
class MyDict(dict, Pluckable): pass

MyDict({
  'home' : {'x' : 1, 'y' : 2},
  'work' : {'x' : 3, 'y' : 6},
}).pluck('x')
> {'home' : 1, 'work' : 3}
```