Merge branch 'master' into master

.travis.yml

@@ -6,19 +6,19 @@ python:
 - 3.5
 - pypy
 before_install:
-  - |
-      if [ "$TRAVIS_PYTHON_VERSION" = "pypy" ]; then
-        export PYENV_ROOT="$HOME/.pyenv"
-        if [ -f "$PYENV_ROOT/bin/pyenv" ]; then
-          cd "$PYENV_ROOT" && git pull
-        else
-          rm -rf "$PYENV_ROOT" && git clone --depth 1 https://github.com/yyuu/pyenv.git "$PYENV_ROOT"
-        fi
-        export PYPY_VERSION="4.0.1"
-        "$PYENV_ROOT/bin/pyenv" install "pypy-$PYPY_VERSION"
-        virtualenv --python="$PYENV_ROOT/versions/pypy-$PYPY_VERSION/bin/python" "$HOME/virtualenvs/pypy-$PYPY_VERSION"
-        source "$HOME/virtualenvs/pypy-$PYPY_VERSION/bin/activate"
-      fi
+- |
+  if [ "$TRAVIS_PYTHON_VERSION" = "pypy" ]; then
+    export PYENV_ROOT="$HOME/.pyenv"
+    if [ -f "$PYENV_ROOT/bin/pyenv" ]; then
+      cd "$PYENV_ROOT" && git pull
+    else
+      rm -rf "$PYENV_ROOT" && git clone --depth 1 https://github.com/yyuu/pyenv.git "$PYENV_ROOT"
+    fi
+    export PYPY_VERSION="4.0.1"
+    "$PYENV_ROOT/bin/pyenv" install "pypy-$PYPY_VERSION"
+    virtualenv --python="$PYENV_ROOT/versions/pypy-$PYPY_VERSION/bin/python" "$HOME/virtualenvs/pypy-$PYPY_VERSION"
+    source "$HOME/virtualenvs/pypy-$PYPY_VERSION/bin/activate"
+  fi
 install:
 - |
   if [ "$TEST_TYPE" = build ]; then
@@ -52,3 +52,10 @@ matrix:
   include:
   - python: '2.7'
     env: TEST_TYPE=lint
+deploy:
+  provider: pypi
+  user: syrusakbary
+  on:
+    tags: true
+  password:
+    secure: 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

README.md

@@ -83,3 +83,21 @@ After developing, the full test suite can be evaluated by running:
 ```sh
 python setup.py test # Use --pytest-args="-v -s" for verbose mode
 ```
+
+
+### Documentation
+
+The documentation is generated using the excellent [Sphinx](http://www.sphinx-doc.org/) and a custom theme.
+
+The documentation dependencies are installed by running:
+
+```sh
+cd docs
+pip install -r requirements.txt
+```
+
+Then to produce a HTML version of the documentation:
+
+```sh
+make html
+```

README.rst

@@ -1,37 +1,38 @@
-Please read `UPGRADE-v1.0.md`_ to learn how to upgrade to Graphene ``1.0``.
+Please read `UPGRADE-v1.0.md </UPGRADE-v1.0.md>`__ to learn how to
+upgrade to Graphene ``1.0``.
 
 --------------
 
-|Graphene Logo| `Graphene`_ |Build Status| |PyPI version| |Coverage Status|
-===========================================================================
+|Graphene Logo| `Graphene <http://graphene-python.org>`__ |Build Status| |PyPI version| |Coverage Status|
+=========================================================================================================
 
-`Graphene`_ is a Python library for building GraphQL schemas/types fast
-and easily.
+`Graphene <http://graphene-python.org>`__ is a Python library for
+building GraphQL schemas/types fast and easily.
 
 -  **Easy to use:** Graphene helps you use GraphQL in Python without
    effort.
 -  **Relay:** Graphene has builtin support for Relay
 -  **Data agnostic:** Graphene supports any kind of data source: SQL
-   (Django, SQLAlchemy), NoSQL, custom Python objects, etc. We believe that
-   by providing a complete API you could plug Graphene anywhere your
-   data lives and make your data available through GraphQL.
+   (Django, SQLAlchemy), NoSQL, custom Python objects, etc. We believe
+   that by providing a complete API you could plug Graphene anywhere
+   your data lives and make your data available through GraphQL.
 
 Integrations
 ------------
 
 Graphene has multiple integrations with different frameworks:
 
-+---------------------+-------------------------------------+
-| integration         | Package                             |
-+=====================+=====================================+
-| Django              | `graphene-django`_                  |
-+---------------------+-------------------------------------+
-| SQLAlchemy          | `graphene-sqlalchemy`_              |
-+---------------------+-------------------------------------+
-| Google App Engine   | `graphene-gae`_                     |
-+---------------------+-------------------------------------+
-| Peewee              | *In progress* (`Tracking Issue`_)   |
-+---------------------+-------------------------------------+
++---------------------+----------------------------------------------------------------------------------------------+
+| integration         | Package                                                                                      |
++=====================+==============================================================================================+
+| Django              | `graphene-django <https://github.com/graphql-python/graphene-django/>`__                     |
++---------------------+----------------------------------------------------------------------------------------------+
+| SQLAlchemy          | `graphene-sqlalchemy <https://github.com/graphql-python/graphene-sqlalchemy/>`__             |
++---------------------+----------------------------------------------------------------------------------------------+
+| Google App Engine   | `graphene-gae <https://github.com/graphql-python/graphene-gae/>`__                           |
++---------------------+----------------------------------------------------------------------------------------------+
+| Peewee              | *In progress* (`Tracking Issue <https://github.com/graphql-python/graphene/issues/289>`__)   |
++---------------------+----------------------------------------------------------------------------------------------+
 
 Installation
 ------------
@@ -45,7 +46,8 @@ For instaling graphene, just run this command in your shell
 1.0 Upgrade Guide
 -----------------
 
-Please read `UPGRADE-v1.0.md`_ to learn how to upgrade.
+Please read `UPGRADE-v1.0.md </UPGRADE-v1.0.md>`__ to learn how to
+upgrade.
 
 Examples
 --------
@@ -74,10 +76,11 @@ Then Querying ``graphene.Schema`` is as simple as:
     result = schema.execute(query)
 
 If you want to learn even more, you can also check the following
-`examples`_:
+`examples <examples/>`__:
 
--  **Basic Schema**: `Starwars example`_
--  **Relay Schema**: `Starwars Relay example`_
+-  **Basic Schema**: `Starwars example <examples/starwars>`__
+-  **Relay Schema**: `Starwars Relay
+   example <examples/starwars_relay>`__
 
 Contributing
 ------------
@@ -94,15 +97,24 @@ After developing, the full test suite can be evaluated by running:
 
     python setup.py test # Use --pytest-args="-v -s" for verbose mode
 
-.. _UPGRADE-v1.0.md: /UPGRADE-v1.0.md
-.. _Graphene: http://graphene-python.org
-.. _graphene-django: https://github.com/graphql-python/graphene-django/
-.. _graphene-sqlalchemy: https://github.com/graphql-python/graphene-sqlalchemy/
-.. _graphene-gae: https://github.com/graphql-python/graphene-gae/
-.. _Tracking Issue: https://github.com/graphql-python/graphene/issues/289
-.. _examples: examples/
-.. _Starwars example: examples/starwars
-.. _Starwars Relay example: examples/starwars_relay
+Documentation
+~~~~~~~~~~~~~
+
+The documentation is generated using the excellent
+`Sphinx <http://www.sphinx-doc.org/>`__ and a custom theme.
+
+The documentation dependencies are installed by running:
+
+.. code:: sh
+
+    cd docs
+    pip install -r requirements.txt
+
+Then to produce a HTML version of the documentation:
+
+.. code:: sh
+
+    make html
 
 .. |Graphene Logo| image:: http://graphene-python.org/favicon.png
 .. |Build Status| image:: https://travis-ci.org/graphql-python/graphene.svg?branch=master

docs/Makefile

@@ -223,3 +223,7 @@ dummy:
 	$(SPHINXBUILD) -b dummy $(ALLSPHINXOPTS) $(BUILDDIR)/dummy
 	@echo
 	@echo "Build finished. Dummy builder generates no files."
+
+.PHONY: livehtml
+livehtml:
+	sphinx-autobuild -b html $(ALLSPHINXOPTS) $(BUILDDIR)/html

docs/execution/index.rst

@@ -0,0 +1,40 @@
+=========
+Execution
+=========
+
+For executing a query a schema, you can directly call the ``execute`` method on it.
+
+
+.. code:: python
+    
+    schema = graphene.Schema(...)
+    result = schema.execute('{ name }')
+
+``result`` represents he result of execution. ``result.data`` is the result of executing the query, ``result.errors`` is ``None`` if no errors occurred, and is a non-empty list if an error occurred.
+
+
+Context
+_______
+
+You can pass context to a query via ``context_value``.
+
+
+.. code:: python
+
+    class Query(graphene.ObjectType):
+        name = graphene.String()
+
+        def resolve_name(self, args, context, info):
+            return context.get('name')
+    
+    schema = graphene.Schema(Query)
+    result = schema.execute('{ name }', context_value={'name': 'Syrus'})
+
+
+Middleware
+__________
+
+.. toctree::
+   :maxdepth: 1
+
+   middleware

docs/execution/middleware.rst

@@ -0,0 +1,44 @@
+Middleware
+==========
+
+You can use ``middleware`` to affect the evaluation of fields in your schema.
+
+A middleware is any object that responds to ``resolve(*args, next_middleware)``.
+
+Inside that method, it should either:
+
+- Send ``resolve`` to the next middleware to continue the evaluation; or
+- Return a value to end the evaluation early.
+
+
+Resolve arguments
+-----------------
+
+Middlewares ``resolve`` is invoked with several arguments:
+
+- ``next`` represents the execution chain. Call ``next`` to continue evalution.
+- ``root`` is the root value object passed throughout the query.
+- ``args`` is the hash of arguments passed to the field.
+- ``context`` is the context object passed throughout the query.
+- ``info`` is the resolver info.
+
+
+Example
+-------
+
+This middleware only continues evaluation if the ``field_name`` is not ``'user'``
+
+.. code:: python
+
+	class AuthorizationMiddleware(object):
+		def resolve(self, next, root, args, context, info):
+			if info.field_name == 'user':
+				return None
+			return next(root, args, context, info)
+
+
+And then execute it with:
+
+.. code:: python
+
+	result = schema.execute('THE QUERY', middleware=[AuthorizationMiddleware()])

docs/index.rst

@@ -8,6 +8,7 @@ Contents:
 
    quickstart
    types/index
+   execution/index
    relay/index
 
 Integrations

docs/quickstart.rst

@@ -1,6 +1,12 @@
 Getting started
 ===============
 
+What is GraphQL?
+----------------
+
+For an introduction to GraphQL and an overview of its concepts, please refer
+to `the official introduction <http://graphql.org/learn/>`.
+
 Let’s build a basic GraphQL schema from scratch.
 
 Requirements

docs/types/interfaces.rst

@@ -23,14 +23,14 @@ and ``Droid`` are two implementations of that interface.
         name = graphene.String()
 
     # Human is a Character implementation
-    class Human(ObjectType):
+    class Human(graphene.ObjectType):
         class Meta:
             interfaces = (Character, )
 
         born_in = graphene.String()
 
     # Droid is a Character implementation
-    class Droid(Character):
+    class Droid(graphene.ObjectType):
         class Meta:
             interfaces = (Character, )
 

docs/types/mutations.rst

@@ -76,3 +76,69 @@ We should receive:
             "ok": true
         }
     }
+
+InputFields and InputObjectTypes
+----------------------
+InputFields are used in mutations to allow nested input data for mutations
+
+To use an InputField you define an InputObjectType that specifies the structure of your input data
+
+
+
+
+.. code:: python
+
+    import graphene
+
+    class PersonInput(graphene.InputObjectType):
+        name = graphene.String()
+        age = graphene.Int()
+
+    class CreatePerson(graphene.Mutation):
+        class Input:
+            person_data = graphene.InputField(PersonInput)
+
+        person = graphene.Field(lambda: Person)
+
+        def mutate(self, args, context, info):
+            p_data = args.get('person_data')
+
+            name = p_data.get('name')
+            age = p_data.get('age')
+
+            person = Person(name=name, age=age)
+            return CreatePerson(person=person)
+
+
+Note that  **name** and **age** are part of **person_data** now
+
+Using the above mutation your new query would look like this:
+
+.. code:: graphql
+
+    mutation myFirstMutation {
+        createPerson(personData: {name:"Peter", age: 24}) {
+            person {
+                name,
+                age
+            }
+        }
+    }
+
+InputObjectTypes can also be fields of InputObjectTypes allowing you to have
+as complex of input data as you need
+
+.. code:: python
+
+    import graphene
+
+    class LatLngInput(graphene.InputObjectType):
+        lat = graphene.Float()
+        lng = graphene.Float()
+
+    #A location has a latlng associated to it
+    class LocationInput(graphene.InputObjectType):
+        name = graphene.String()
+        latlng = graphene.InputField(LatLngInputType)
+
+