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石墨烯解析器用于没有模型的物体

[英]Graphene resolver for an object that has no model

I'm trying to write a resolver that returns an object created by a function. 我正在尝试编写一个返回函数创建的对象的解析器。 It gets the data from memcached, so there is no actual model I can tie it to. 它从memcached获取数据,因此没有可以将其绑定的实际model

I think my main issue is I can't figure out what type to use and how to set it up. 我认为我的主要问题是我无法弄清楚使用什么type以及如何设置它。 I'm using this in conjunction with Django, but I don't think it's a django issue (afaict). 我和Django一起使用它,但我不认为这是一个django问题(afaict)。 Here's my code so far: 到目前为止,这是我的代码:

class TextLogErrorGraph(DjangoObjectType):

    def bug_suggestions_resolver(root, args, context, info):
        from treeherder.model import error_summary
        return error_summary.bug_suggestions_line(root)

    bug_suggestions = graphene.Field(TypeForAnObjectHere, resolver=bug_suggestions_resolver)

Notice I don't know what type or field to use. 注意我不知道要使用什么typefield Can someone help me? 有人能帮我吗? :) :)

GraphQL is designed to be backend agnostic, and Graphene is build to support various python backends like Django and SQLAlchemy . GraphQL被设计为后端不可知,并且构建Graphene以支持各种python后端,如DjangoSQLAlchemy To integrate your custom backend, simply define your models using Graphene's type system and roll out your own resolvers. 要集成您的自定义后端,只需使用Graphene的类型系统定义您的模型并推出您自己的解析器。

import graphene
import time

class TextLogEntry(graphene.ObjectType):

    log_id = graphene.Int()
    text = graphene.String()
    timestamp = graphene.Float()
    level = graphene.String()

def textlog_resolver(root, args, context, info):
    log_id = args.get('log_id') # 123
    # fetch object...
    return TextLogEntry(
        log_id=log_id,
        text='Hello World',
        timestamp=time.time(),
        level='debug'
    )

class Query(graphene.ObjectType):

    textlog_entry = graphene.Field(
        TextLogEntry,
        log_id=graphene.Argument(graphene.Int, required=True),
        resolver=textlog_resolver
    )


schema = graphene.Schema(
    query=Query
)

使用GraphiQL进行示例查询

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