{"id":28427424,"url":"https://github.com/viogami/favani","last_synced_at":"2026-05-07T08:31:53.137Z","repository":{"id":215078130,"uuid":"738036204","full_name":"viogami/FavAni","owner":"viogami","description":"FavAni，基于神经网络推荐算法，找到你最喜欢的动画！","archived":false,"fork":false,"pushed_at":"2024-04-02T21:05:06.000Z","size":5834,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-10-02T15:36:44.554Z","etag":null,"topics":["bangumi","go","grpc","pytorch","vue3"],"latest_commit_sha":null,"homepage":"http://fa.viogami.me","language":"Vue","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/viogami.png","metadata":{"files":{"readme":"Readme.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2024-01-02T09:07:06.000Z","updated_at":"2024-12-26T14:27:12.000Z","dependencies_parsed_at":"2024-01-20T04:30:58.538Z","dependency_job_id":"09cd03e9-1e6f-4366-adba-1627e47c03d6","html_url":"https://github.com/viogami/FavAni","commit_stats":null,"previous_names":["viogami/digbgm","viogami/favani"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/viogami/FavAni","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/viogami%2FFavAni","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/viogami%2FFavAni/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/viogami%2FFavAni/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/viogami%2FFavAni/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/viogami","download_url":"https://codeload.github.com/viogami/FavAni/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/viogami%2FFavAni/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":278981518,"owners_count":26079640,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-08T02:00:06.501Z","response_time":56,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["bangumi","go","grpc","pytorch","vue3"],"created_at":"2025-06-05T12:11:03.703Z","updated_at":"2025-10-08T17:11:26.939Z","avatar_url":"https://github.com/viogami.png","language":"Vue","funding_links":[],"categories":[],"sub_categories":[],"readme":"# FavAni\n\n\u003cp\u003e FavAni，基于神经网络推荐算法，找到你最喜欢的动画！\u003c/p\u003e\n\n\u003ca href=\"http://fa.viogami.me/\" rel=\"nofollow\"\u003e演示地址Demo\u003c/a\u003e\n\n前端使用 Vue3 和 Element Plus 进行构建，让你在使用该工具的同时享受良好的用户体验。\n后端使用golang的GIN框架,简洁高效，性能卓越，打包main文件一键服务器端部署。\n图算法依赖pytorch，处理为接口独立部署，通过grpc和此后端进行通信。\n\n\n后端地址:\u003ca\u003ehttp://faapi.viogami.me/\u003c/a\u003e\n\n使用【/routes】路由可查看后端全部接口 --\u003e \u003ca\u003ehttp://faapi.viogami.me/routes\u003c/a\u003e\n\n\u003cp\u003e 你可以访问它的 GitHub 仓库地址：\u003ca href=\"https://github.com/viogami/FavAni\" target=\"_blank\"\u003eFavAni\u003c/a\u003e \u003c/p\u003e\n\n## 首页面预览\n\n![preview](https://github.com/viogami/FavAni/raw/master/web/public/preview.png)\n\n## 前言\n个人开发的基于 BangumiAPI  执行推荐算法的数据分析网站。\n调用 Bangumi的 API  实现数据检索，并且构建知识图谱。使用jwt鉴权，并自动登录。\n\n后端 RestfulAPI ，通过 Gin  实现。接入 gorm  使用 mysql ，接入鉴权中间件。\n算法后端存放知识图谱和用户的收藏信息，每个用户的收藏用来构建子图，使用图卷积神经网络（GCN）并引入注意力机制实现推荐。\n\ngrpc服务使用redis缓存结果，高速访问。\n\n\n## 实现细节\n - 前端界面设计\n - 后端api接口设计\n - 登录注册功能\n - jwt鉴权，根据token有效与否自动登录\n - 数据库表设计\n - 基于bangumi构建知识图谱\n - 用户收藏构建子图，执行推荐算法\n - grpc通信\n - redis缓存grpc请求和结果，并对部分接口使用消息队列实现并发访问稳定性。\n - docker文件编写\n\n ## 快速上手\n\u003ca href=\"http://fa.viogami.me/\" rel=\"nofollow\"\u003e演示地址Demo\u003c/a\u003e\n\n使用【/routes】查看后端全部接口 --\u003e \u003ca\u003ehttp://faapi.viogami.me/routes\u003c/a\u003e\n\npython的gcn模型接口部署在9999端口\n\n## 文件夹解释\n- asserts: 存放必要且无法打包至可执行文件的外部文件\n- auth : 鉴权相关文件，目前为jwt\n- config：定义配置文件格式并存放配置文件，用于上线灵活修改项目\n- database: 定义数据库模型，以及创建mysql和redis\n- middleware：定义中间件，包含中间件函数\n- pb：定义grpc的protoc文件\n- repos：仓库的接口文件，每个数据库表对应一个仓库\n- server：启动服务，包括mysql，redis，grpc等\n- web：前端文件夹\n\n## grpc说明\n本后端做grpc客户端，gcn模型处理代码用py编写，做grpc的服务端。\n\n协议文件编写在`proto/gcn.proto`中\n\n### python服务端简要代码\n```python\nimport grpc\nfrom concurrent import futures\nfrom proto import gcn_pb2_grpc, gcn_pb2\n\nclass GCNServicer(gcn_pb2_grpc.GCNServiceServicer):\n    def ProcessGraph(self, request, context):\n        # Process graph data using GCN and return result\n        # example: \n        # return gcn_pb2.GCNResult(node_scores={\"node1\": 0.5, \"node2\": 0.8})\n\ndef server():\n    server = grpc.server(futures.ThreadPoolExecutor(max_workers=10))\n    gcn_pb2_grpc.add_GCNServiceServicer_to_server(GCNServicer(), server)\n    server.add_insecure_port('[::]:9999')\n    server.start()\n    print('gRPC 服务端已开启,端口为9999...')\n    server.wait_for_termination()\n\nif __name__ == '__main__':\n    server()\n\n```\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fviogami%2Ffavani","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fviogami%2Ffavani","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fviogami%2Ffavani/lists"}