Client library for making graphql calls.
Project description
A pythonic interface for making requests to a GraphQL server using standard library or pydantic dataclasses to spare you from string manipulation.
Features
Use standard library dataclasses to specify graphql parameters and responses
Use pydantic dataclasses to specify graphql parameters and responses that have type validation
Create and execute GraphQL Queries based upon typed models
Create and execute GraphQL Mutations based upon typed models
Async support
Installation
pip install gqlclientwith asyncio support
pip install gqlclient[async]with pydantic support
pip install gqlclient[pydantic]for developers
pip install gqlclient[test]
pip install pre-commit
pre-commit installExamples
Query
from pydantic.dataclasses import dataclass
from gqlclient import GraphQLClient
@dataclass
class Parameters:
attr_one: str
attr_two: int
@dataclass
class Response:
attr_three: int
attr_four: str
client = GraphQLClient(gql_uri="http://localhost:5000/graphql")
parameters = Parameters(attr_one="foo", attr_two=3)
query = client.get_query(query_base="baseType", query_response_cls=Response, query_parameters=parameters)
print(query)
# {'query': '{baseType(filterParams: {attr_one: "foo", attr_two: 3}){attr_three, attr_four} }'}
response = client.execute_gql_query(query_base="baseType", query_response_cls=Response, query_parameters=parameters, response_encoder=json_encoder)
print(response)
# with the default dataclass_encoder
# [Response(attr_three=5, attr_four="bar")]Mutation
from pydantic.dataclasses import dataclass
from gqlclient import GraphQLClient
@dataclass
class Parameters:
attr_one: str
attr_two: int
@dataclass
class Response:
attr_three: int
attr_four: str
client = GraphQLClient(gql_uri="http://localhost:5000/graphql")
parameters = Parameters(attr_one="foo", attr_two=3)
query = client.get_mutation(mutation_base="baseMutation", mutation_response_cls=Response, mutation_parameters=parameters)
print(query)
# {'query': 'mutation baseType {baseType(mutateParams: {attr_one: "foo", attr_two: 3}){attr_three, attr_four} }', 'operationName': 'baseType'}
response = client.execute_gql_mutation(mutation_base="baseMutation", mutation_response_cls=Response, mutation_parameters=parameters)
print(response)
# with the default dataclass_encoder
# [Response(attr_three=5, attr_four="bar")]Encoders
from dataclasses import dataclass
from gqlclient import GraphQLClient
from gqlclient import json_encoder
# set the default encoder to the json_encoder
client = GraphQLClient(gql_uri="http://127.0.0.1:30003/graphql", response_encoder=json_encoder)
@dataclass
class QueryResponse:
workflowId: int
workflowName: str
workflowDescription: str | None
response = client.execute_gql_query("workflows",QueryResponse)
print(response)
# Response is a json formatted string
# {"workflows": [{"workflowId": 1, "workflowName": "gql3_full - workflow_name", "workflowDescription": "gql3_full - workflow_description"}, {"workflowId": 2, "workflowName": "VBI base calibration", "workflowDescription": "The base set of calibration tasks for VBI."}]}
from gqlclient import dataclass_encoder
# for this call override the default encoder
response = client.execute_gql_query("workflows", QueryResponse, response_encoder=dataclass_encoder)
print(response)
# Response type is a list of dataclasses
# [QueryResponse(workflowId=1, workflowName='gql3_full - workflow_name', workflowDescription='gql3_full - workflow_description'), QueryResponse(workflowId=2, workflowName='VBI base calibration', workflowDescription='The base set of calibration tasks for VBI.')]Release history Release notifications | RSS feed
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