graphene + peewee-async integration ❤️
- Querying
- Fields selection (considered by
SELECT
statement) - Related entities subselection (using foreign key joins)
- Filters (django-style lookups, like
peewee.SelectQuery.filter
args) - Order (multiple fields, asc/dsc support)
- Pagination (
page
,paginate_by
support plus unpaginatedtotal
count auto-fetching)
- Fields selection (considered by
- Mutations (both single object and bulk operating, filtering just like for querying)
- Create
- Update
- Delete
- Clone
# Define models
class Author(Model):
name = CharField()
rating = IntegerField()
class Book(Model):
name = CharField()
year = IntegerField()
author = ForeignKeyField(Author)
# Create nodes
class BookNode(PeeweeObjectType):
class Meta:
model = Book
manager = db_manager
class AuthorNode(PeeweeObjectType):
class Meta:
model = Author
manager = db_manager
# Create connections
class BookConnection(PeeweeConnection):
class Meta:
node = BookNode
# Aggregate queries
class Query(ObjectType):
books = PeeweeConnectionField(BookConnection)
# Create schema
schema = Schema(query=Query, auto_camelcase=False)
# Execute graphql query
result = schema.execute('''
query {
books (filters: {author__name__ilike: "%Lovecraft%"}) {
total
edges {
node {
id
name
author {
id
name
}
}
}
}
}''',
return_promise=True,
executor=AsyncioExecutor()
)
# Await result if required (failed queries are usually returning result
# synchronously with non-empty `result.errors`
# while successful ones requires awaiting
# of peewee/DB level queries of course)
if not isinstance(result, ExecutionResult):
result = await result
# Enjoy the result :)
print(result.data)
#
# ===>
#
# {'books': {
# 'total': 2,
# 'edges': [
# {'node': {
# 'id': 5,
# 'name': 'Dagon',
# 'author': {
# 'id': 1,
# 'name': 'Howard Lovecraft'
# }
# }},
# {'node': {
# 'id': 6,
# 'name': 'At the Mountains of Madness',
# 'author': {
# 'id': 1,
# 'name': 'H.P. Lovecraft'
# }
# }}
# ]
# }}
Be sure to check API tests for advanced query/mutation usages and auto-generating such schema for them.
Install as package:
pip3 install graphene-peewee-async