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Improved docs. Added schema page
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@ -10,4 +10,5 @@ Types Reference
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interfaces
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abstracttypes
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objecttypes
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schema
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mutations
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@ -5,6 +5,7 @@ An Interface contains the essential fields that will be implemented among
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multiple ObjectTypes.
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The basics:
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- Each Interface is a Python class that inherits from ``graphene.Interface``.
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- Each attribute of the Interface represents a GraphQL field.
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@ -2,6 +2,7 @@ Scalars
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=======
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Graphene define the following base Scalar Types:
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- ``graphene.String``
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- ``graphene.Int``
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- ``graphene.Float``
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@ -9,6 +10,7 @@ Graphene define the following base Scalar Types:
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- ``graphene.ID``
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Graphene also provides custom scalars for Dates and JSON:
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- ``graphene.types.datetime.DateTime``
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- ``graphene.types.json.JSONString``
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81
docs/types/schema.rst
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81
docs/types/schema.rst
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@ -0,0 +1,81 @@
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Schema
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======
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A Schema is created by supplying the root types of each type of operation, query and mutation (optional).
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A schema definition is then supplied to the validator and executor.
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.. code:: python
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my_schema = Schema(
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query=MyRootQuery,
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mutation=MyRootMutation,
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)
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Types
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-----
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There are some cases where the schema could not access all the types that we plan to have.
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For example, when a field returns an ``Interface``, the schema doesn't know any of the
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implementations.
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In this case, we would need to use the ``types`` argument when creating the Schema.
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.. code:: python
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my_schema = Schema(
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query=MyRootQuery,
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types=[SomeExtraObjectType, ]
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)
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Querying
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--------
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If you need to query a schema, you can directly call the ``execute`` method on it.
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.. code:: python
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my_schema.execute('{ lastName }')
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Auto CamelCase field names
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--------------------------
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By default all field and argument names (that are not
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explicitly set with the ``name`` arg) will be converted from
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`snake_case` to `camelCase` (`as the API is usually being consumed by a js/mobile client`)
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So, for example if we have the following ObjectType
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.. code:: python
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class Person(graphene.ObjectType):
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last_name = graphene.String()
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other_name = graphene.String(name='_other_Name')
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Then the ``last_name`` field name is converted to ``lastName``.
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In the case we don't want to apply any transformation, we can specify
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the field name with the ``name`` argument. So ``other_name`` field name
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would be converted to ``_other_Name`` (without any other transformation).
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So, you would need to query with:
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.. code:: graphql
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{
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lastName
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_other_Name
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}
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If you want to disable this behavior, you set use the ``auto_camelcase`` argument
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to ``False`` when you create the Schema.
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.. code:: python
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my_schema = Schema(
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query=MyRootQuery,
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auto_camelcase=False,
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)
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