graphene/docs/execution/execute.rst

177 lines
4.0 KiB
ReStructuredText
Raw Normal View History

.. _SchemaExecute:
2017-04-20 10:53:17 +03:00
Executing a query
=================
2019-12-20 10:02:45 +03:00
For executing a query against a schema, you can directly call the ``execute`` method on it.
2017-04-20 10:53:17 +03:00
.. code:: python
2017-04-27 02:27:44 +03:00
from graphene import Schema
schema = Schema(...)
2017-04-20 10:53:17 +03:00
result = schema.execute('{ name }')
2017-04-27 02:27:44 +03:00
``result`` represents the 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.
2017-04-20 10:53:17 +03:00
For executing a subscription, you can directly call the ``subscribe`` method on it.
This method is async and must be awaited.
.. code:: python
import asyncio
from datetime import datetime
from graphene import ObjectType, String, Schema, Field
# All schema require a query.
class Query(ObjectType):
hello = String()
def resolve_hello(root, info):
return 'Hello, world!'
class Subscription(ObjectType):
time_of_day = Field(String)
async def subscribe_time_of_day(root, info):
while True:
yield { 'time_of_day': datetime.now().isoformat()}
await asyncio.sleep(1)
SCHEMA = Schema(query=Query, subscription=Subscription)
async def main(schema):
subscription = 'subscription { timeOfDay }'
result = await schema.subscribe(subscription)
async for item in result:
print(item.data['timeOfDay'])
asyncio.run(main(SCHEMA))
The ``result`` is an async iterator which yields items in the same manner as a query.
.. _SchemaExecuteContext:
2017-04-20 10:53:17 +03:00
Context
_______
You can pass context to a query via ``context``.
2017-04-20 10:53:17 +03:00
.. code:: python
from graphene import ObjectType, String, Schema
class Query(ObjectType):
name = String()
2017-04-20 10:53:17 +03:00
def resolve_name(root, info):
2017-07-27 13:00:21 +03:00
return info.context.get('name')
2017-04-27 02:27:44 +03:00
schema = Schema(Query)
result = schema.execute('{ name }', context={'name': 'Syrus'})
assert result.data['name'] == 'Syrus'
Variables
_________
You can pass variables to a query via ``variables``.
.. code:: python
from graphene import ObjectType, Field, ID, Schema
class Query(ObjectType):
user = Field(User, id=ID(required=True))
def resolve_user(root, info, id):
return get_user_by_id(id)
schema = Schema(Query)
result = schema.execute(
'''
2019-04-08 22:36:35 +03:00
query getUser($id: ID) {
user(id: $id) {
id
firstName
lastName
}
2019-04-08 22:36:35 +03:00
}
''',
variables={'id': 12},
)
Root Value
__________
Value used for :ref:`ResolverParamParent` in root queries and mutations can be overridden using ``root`` parameter.
.. code:: python
from graphene import ObjectType, Field, Schema
class Query(ObjectType):
me = Field(User)
def resolve_user(root, info):
return {'id': root.id, 'firstName': root.name}
schema = Schema(Query)
user_root = User(id=12, name='bob'}
result = schema.execute(
'''
query getUser {
user {
id
firstName
lastName
}
}
''',
root=user_root
)
assert result.data['user']['id'] == user_root.id
Operation Name
______________
If there are multiple operations defined in a query string, ``operation_name`` should be used to indicate which should be executed.
.. code:: python
from graphene import ObjectType, Field, Schema
class Query(ObjectType):
me = Field(User)
def resolve_user(root, info):
return get_user_by_id(12)
schema = Schema(Query)
query_string = '''
query getUserWithFirstName {
user {
id
firstName
lastName
}
}
query getUserWithFullName {
user {
id
fullName
}
}
'''
result = schema.execute(
query_string,
operation_name='getUserWithFullName'
)
assert result.data['user']['fullName']