Python 3.x 在石墨烯中使用与多个解析器相同的连接

我有这样的代码

# SWAMI KARUPPASWAMI THUNNAI

import jwt
import graphene
from flask import request
from auth.helper import medease_token
from database.get_connection import get_connection
from flask_graphql import GraphQLView


class CredentialInformation(graphene.ObjectType):
    """
    graphene object type to get the personal information about the user
    """

    country_code = graphene.String()
    phone = graphene.String()
    verified = graphene.Int()

    @medease_token
    def resolve_country_code(self, root):
        customer_token = request.headers["x-access-token"]
        decoded_token = jwt.decode(customer_token, verify=False)
        customer_id = decoded_token["customer_id"]
        try:
            connection = get_connection()
            cursor = connection.cursor()
            cursor.execute("select country_code from customer_credential where id=%s limit 1", (customer_id, ))
            result = cursor.fetchone()
            return result["country_code"]
        finally:
            cursor.close()
            connection.close()

    @medease_token
    def resolve_phone(self, root):
        customer_token = request.headers["x-access-token"]
        decoded_token = jwt.decode(customer_token, verify=False)
        customer_id = decoded_token["customer_id"]
        try:
            connection = get_connection()
            cursor = connection.cursor()
            cursor.execute("select phone from customer_credential where id=%s limit 1", (customer_id, ))
            result = cursor.fetchone()
            return result["phone"]
        finally:
            cursor.close()
            connection.close()

    @medease_token
    def resolve_verified(self, root):
        customer_token = request.headers["x-access-token"]
        decoded_token = jwt.decode(customer_token, verify=False)
        customer_id = decoded_token["customer_id"]
        try:
            connection = get_connection()
            cursor = connection.cursor()
            cursor.execute("select verified from customer_credential where id=%s limit 1", (customer_id,))
            result = cursor.fetchone()
            return result["verified"]
        finally:
            cursor.close()
            connection.close()


def credential_information_wrapper():
    return GraphQLView.as_view("graphql", schema=graphene.Schema(query=CredentialInformation))

它使用flask graphql和graphene来表示Python graphql。代码运行得非常好，但我认为我缺少了一些东西，因为我需要在每个解析器中打开新的连接，并且我需要再次编写相同的查询，以便存在数据重复，那么这是正确的方法还是我缺少了一些东西

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任何帮助都将不胜感激！提前感谢。

在每个查询上打开一个新连接（本例中为解析器）是可以的。您还可以设置一个连接池，以最小化打开连接的成本

只是好奇，你用的是什么数据库适配器或ORM？如果您可以将连接和游标步骤重构为单个函数来调用每个解析器，并且只需传递SQL查询字符串，那就太好了