{"id":22783156,"url":"https://github.com/frontmage/fishpond","last_synced_at":"2025-09-11T16:43:41.432Z","repository":{"id":81860411,"uuid":"303424500","full_name":"FrontMage/fishpond","owner":"FrontMage","description":"鱼塘","archived":false,"fork":false,"pushed_at":"2020-10-12T14:53:26.000Z","size":165,"stargazers_count":2,"open_issues_count":0,"forks_count":2,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-05-31T11:35:18.402Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"JavaScript","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/FrontMage.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,"publiccode":null,"codemeta":null}},"created_at":"2020-10-12T14:52:59.000Z","updated_at":"2020-10-13T06:22:28.000Z","dependencies_parsed_at":"2023-04-23T10:08:43.086Z","dependency_job_id":null,"html_url":"https://github.com/FrontMage/fishpond","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/FrontMage/fishpond","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FrontMage%2Ffishpond","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FrontMage%2Ffishpond/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FrontMage%2Ffishpond/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FrontMage%2Ffishpond/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/FrontMage","download_url":"https://codeload.github.com/FrontMage/fishpond/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FrontMage%2Ffishpond/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":274672217,"owners_count":25328547,"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":"2025-09-11T02:00:13.660Z","response_time":74,"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":[],"created_at":"2024-12-11T22:07:10.635Z","updated_at":"2025-09-11T16:43:41.384Z","avatar_url":"https://github.com/FrontMage.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cbr /\u003e\n\u003cp align=\"center\"\u003e\n  \u003ca href=\"https://github.com/frontmage/fishpond\"\u003e\n    \u003cimg src=\"./screenshots/logo.png\" alt=\"Logo\" width=\"80\" height=\"80\"\u003e\n  \u003c/a\u003e\n\n  \u003ch3 align=\"center\"\u003e鱼塘\u003c/h3\u003e\n\n  \u003cp align=\"center\"\u003e\n    基于网页微信的养鱼插件\n  \u003c/p\u003e\n\u003c/p\u003e\n\n\u003c!-- TABLE OF CONTENTS --\u003e\n\n## Table of Contents\n\n- [Table of Contents](#table-of-contents)\n- [About The Project](#about-the-project)\n  - [Built With](#built-with)\n- [Getting Started](#getting-started)\n  - [Prerequisites](#prerequisites)\n- [Roadmap](#roadmap)\n- [Contributing](#contributing)\n- [License](#license)\n\n\u003c!-- ABOUT THE PROJECT --\u003e\n\n## About The Project\n\n![screenshot2](./screenshots/screenshot2.jpg)\n![screenshot3](./screenshots/screenshot3.jpg)\n\n常年被养鱼突然有感而发，为何不把 NLP 技术用于养鱼，通过模型评测每一句聊天，给出对应的情感分析数据\n\n### Built With\n\n- [fastapi](https://fastapi.tiangolo.com/)\n- [snownlp](https://pypi.org/project/snownlp/)\n- [docker](https://www.docker.com/)\n\n## Getting Started\n\n先要安装[tampermonkey](https://chrome.google.com/webstore/detail/tampermonkey)或者其他类似的工具。\n\n然后把 repo 里的`fishpond.js`丢到用户脚本里面并启用。\n\n然后需要启动 NLP 模型服务器\n\n```bash\nclone the repo\ncd fishpond_sentiment_analysis\nuvicorn main:app --host 0.0.0.0 --log-level debug\n```\n\n然后登录网页微信即可使用。\n\n### Prerequisites\n\n- snownlp\n\n```sh\npip install snownlp\n```\n\n- fastapi\n\n```sh\npip install fastapi\n```\n\n## Roadmap\n\nSee the [open issues](https://github.com/frontmage/fishpond/issues) for a list of proposed features (and known issues).\n\n目前得做个看板用来统计各个鱼儿的情感曲线以及平均回复时间，统计这个是想看看塘主有没有什么特征，例如平均回复时间可能\u003e2 小时。\n\n## Contributing\n\n现在模型是用的`snownlp`，它的情感分析是基于商品评价语料库，我们需要真正的养鱼语料库，所以各位塘主和鱼儿们，把自己的聊天贡献出来吧～\n\n在`data/pond/sample.csv`可以参考如何标注自己的聊天记录为 csv，我每周用 bert 训练一发，模型会以 docker 镜像的形式发布。\n\n## License\n\nDistributed under the MIT License. See `LICENSE` for more information.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffrontmage%2Ffishpond","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffrontmage%2Ffishpond","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffrontmage%2Ffishpond/lists"}