Source code for langchain_community.utilities.graphql
import json
from typing import Any, Callable, Dict, Optional
from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
[docs]class GraphQLAPIWrapper(BaseModel):
"""封装了GraphQL API。
要使用,您应该已安装``gql`` python包。
此封装将使用GraphQL API执行查询。"""
custom_headers: Optional[Dict[str, str]] = None
fetch_schema_from_transport: Optional[bool] = None
graphql_endpoint: str
gql_client: Any #: :meta private:
gql_function: Callable[[str], Any] #: :meta private:
class Config:
"""此pydantic对象的配置。"""
extra = Extra.forbid
@root_validator(pre=True)
def validate_environment(cls, values: Dict) -> Dict:
"""验证Python包是否存在于环境中。"""
try:
from gql import Client, gql
from gql.transport.requests import RequestsHTTPTransport
except ImportError as e:
raise ImportError(
"Could not import gql python package. "
f"Try installing it with `pip install gql`. Received error: {e}"
)
headers = values.get("custom_headers")
transport = RequestsHTTPTransport(
url=values["graphql_endpoint"],
headers=headers,
)
fetch_schema_from_transport = values.get("fetch_schema_from_transport", True)
client = Client(
transport=transport, fetch_schema_from_transport=fetch_schema_from_transport
)
values["gql_client"] = client
values["gql_function"] = gql
return values
[docs] def run(self, query: str) -> str:
"""运行一个GraphQL查询并获取结果。"""
result = self._execute_query(query)
return json.dumps(result, indent=2)
def _execute_query(self, query: str) -> Dict[str, Any]:
"""执行一个GraphQL查询并返回结果。"""
document_node = self.gql_function(query)
result = self.gql_client.execute(document_node)
return result