【开源自荐】Pydantic-resolve, 构造更精准的视图数据

[allmonday]

推荐项目

• 项目地址：https://github.com/allmonday/pydantic-resolve

• 类别：Python

• 项目标题：Pydantic-resolve, 为构造完美的视图数据而生

• 项目描述：解决后端构造前端视图数据中的所有痛点，类似graphql, 用schema 申明式的描述数据，充分发挥dataloader 的优势，将构造复杂结构的视图数据变得易如反掌。（解决了graphql 中只能层层下推无法回溯处理数据的痛点）

• 亮点：概念简单， API简洁，不需要引入复杂的 graphql 框架，却能生成比graphql 更精准的视图数据

• 示例代码：（可选）

class Comment(BaseModel):
    id: int
    content: str

class Blog(BaseModel):
    id: int
    title: str

    comments: list[Comment] = []
    def resolve_comments(self, loader=LoaderDepend(blog_to_comments_loader)):
        return loader.load(self.id)
    
    comment_count: int = 0
    def post_comment_count(self):
        return len(self.comments)

class MyBlogSite(BaseModel):
    blogs: list[Blog]
    name: str

    comment_count: int = 0
    def post_comment_count(self):
        return sum([b.comment_count for b in self.blogs])

async def main():
    my_blog_site = MyBlogSite(
        name: "tangkikodo's blog"
        blogs = [
            Blog(id=1, title='what is pydantic-resolve'),
            Blog(id=2, title='what is composition oriented development pattarn'),
        ]
    )
    my_blog_site = await Resolver().resolve(my_blog_site)

output

{
    "name": "tangkikodo's blog",
    "blogs": [
        {
            "id": 1,
            "title": "what is pydantic-resolve",
            "comments": [
                {
                    "id": 1,
                    "content": "its interesting"
                },
                {
                    "id": 2,
                    "content": "i dont understand"
                }
            ],
            "comment_count": 2
        },
        {
            "id": 2,
            "title": "what is composition oriented development pattarn",
            "comments": [
                {
                    "id": 3,
                    "content": "why? how?"
                },
                {
                    "id": 4,
                    "content": "wow!"
                }
            ],
            "comment_count": 2
        }
    ],
    "comment_count": 4
}

• 截图：

• 后续更新计划：

  • debug模式， 可以完整展示全部字段， 以及字段间的依赖关系。