Project Icon

NewsBlur

智能新闻聚合平台 促进用户交流探讨世界

NewsBlur是一个智能新闻聚合平台,旨在促进用户交流讨论世界事务。该平台展示原始网站内容,并根据用户设置的标签、关键词和作者等条件智能筛选文章。基于Python和Django开发,支持Web、iOS和Android多平台使用。NewsBlur通过个性化定制和社交功能,优化了用户的在线新闻阅读体验。

NewsBlur

Get it on F-Droid Get it on Google Play

   Download on the Apple App Store

Features

  1. Shows the original site (you have to see it to believe it).
  2. Hides stories you don't want to read based on tags, keywords, authors, etc.
  3. Highlights stories you want to read, based on the same criteria.

Technologies

Server-side

  • Python 3.7+: The language of choice.
  • Django: Web framework written in Python, used to serve all pages.
  • Celery & RabbitMQ: Asynchronous queueing server, used to fetch and parse RSS feeds.
  • MongoDB, Pymongo, & Mongoengine: Non-relational database, used to store stories, read stories, feed/page fetch histories, and proxied sites.
  • PostgreSQL: Relational database, used to store feeds, subscriptions, and user accounts.
  • Redis: Programmer's database, used to assemble stories for the river, store story ids, manage feed fetching schedules, and the minuscule bit of caching that NewsBlur uses.
  • Elasticsearch: Search database, use for searching stories. Optional.

Client-side and design

  • jQuery: Cross-browser compliant JavaScript code. IE works without effort.
  • Underscore.js: Functional programming for JavaScript. Indispensable.
  • Backbone.js: Framework for the web app. Also indispensable.
  • Miscellaneous jQuery Plugins: Everything from resizable layouts, to progress bars, sortables, date handling, colors, corners, JSON, animations. See the complete list.

Prerequisites

* Docker
* Docker-compose

Installation Instructions

  1. Clone this repo

  2. Run make nb to build all of the NewsBlur containers. This will set up all necessary databases, front-end django apps, celery tasks, node apps, flask database monitor and metrics, nginx, and a haproxy load balancer.

  3. Navigate to:

     https://localhost
    

    Note: You will be warned that you are using a self signed certificate. In order to get around this warning you must type "thisisunsafe" as per this blog post.

Using a custom domain

  1. Run the custom domain script

    bash ./utils/custom_domain.sh <domain name>
    

    This script will do the following:

    • Change NEWSBLUR_URL and SESSION_COOKIE_DOMAIN in newsblur_web/docker_local_settings.py
    • Change the domain in config/fixtures/bootstrap.json

You can also change domains: bash ./utils/custom_domain.sh <old domain> <new domain>

  1. If you're using a custom subdomain, you'll also want to add it to ALLOWED_SUBDOMAINS in apps/reader/views.py

  2. A way to make sure you updated all the correct places:

    • Go to the website address in your browser
    • Open developer tools and look at the network tab
    • Try to login
    • Look again at the developer tools, there should be a POST call to /login
    • Observe the Response headers for that call
    • The value of the "set-cookie" header should contain a "Domain=" string

    If the string after Domain= is not the domain you are using to access the website, then your configuration still needs your custom domain.

    You can also confirm that there is a domain name mismatch in the database by running make shell & typing Site.objects.all()[0] to show the domain that NewsBlur is expecting.

Making docker-compose work with your existing database

To make docker-compose work with your database, upgrade your local database to the docker-compose version and then volumize the database data path by changing the ./docker/volumes/ part of the volume directive in the service to point to your local database's data directory.

To make docker-compose work with an older database version, change the image version for the database service in the docker-compose file.

Contribution Instructions

  • Making Changes:

    • To apply changes to the Python or JavaScript code, use the make command.
    • To apply changes to the docker-compose.yml file, use the make rebuild command.
    • To apply changes to the docker/haproxy/haproxy.conf file, node packages, or any new database migrations you will need to use the make nb command.
  • Adding Python packages: Currently, the docker-compose.yml file uses the newsblur/newsblur_python3 image. It is built using the Dockerfile found in docker/newsblur_base_image.Dockerfile. Because of how the docker image is set up, you will need to create your own image and direct your docker-compose.yml file to use it. Please follow the following steps to do so.

    1. Add your new site-packages to config/requirements.txt.
    2. Add the following lines of code to your docker-compose.yml file to replace anywhere where it says image: newsblur/newsblur_python3
    build: context: . dockerfile: docker/newsblur_base_image.Dockerfile
    1. Run the make nb command to rebuild your docker-compose containers
  • Debugging Python

    • To debug your code, drop import pdb; pdb.set_trace() into the Python code where you would like to start debugging and run make and then make debug.
  • Using Django shell within Docker

    • Make sure your docker containers are up and run make shell to open the Django shell within the newsblur_web container.

Running unit and integration tests

NewsBlur comes complete with a test suite that tests the functionality of the rss_feeds, reader, and feed importer. To run the test suite:

`make test`

Running a performance test

Performance tests use the locust performance testing tool. To run performance tests via CLI, use make perf-cli users=1 rate=1 host=https://localhost. Feel free to change the users, rate, and host variables in the command to meet you needs.

You can also run locust performance tests using a UI by running make perf-ui and then navigating to http://127.0.0.1:8089. This allows you to chart and export your performance data.

To run locust using docker, just run make perf-docker and navigate to http://127.0.0.1:8089

Author

License

NewsBlur is licensed under the MIT License. (See LICENSE)

项目侧边栏1项目侧边栏2
推荐项目
Project Cover

豆包MarsCode

豆包 MarsCode 是一款革命性的编程助手,通过AI技术提供代码补全、单测生成、代码解释和智能问答等功能,支持100+编程语言,与主流编辑器无缝集成,显著提升开发效率和代码质量。

Project Cover

AI写歌

Suno AI是一个革命性的AI音乐创作平台,能在短短30秒内帮助用户创作出一首完整的歌曲。无论是寻找创作灵感还是需要快速制作音乐,Suno AI都是音乐爱好者和专业人士的理想选择。

Project Cover

白日梦AI

白日梦AI提供专注于AI视频生成的多样化功能,包括文生视频、动态画面和形象生成等,帮助用户快速上手,创造专业级内容。

Project Cover

有言AI

有言平台提供一站式AIGC视频创作解决方案,通过智能技术简化视频制作流程。无论是企业宣传还是个人分享,有言都能帮助用户快速、轻松地制作出专业级别的视频内容。

Project Cover

Kimi

Kimi AI助手提供多语言对话支持,能够阅读和理解用户上传的文件内容,解析网页信息,并结合搜索结果为用户提供详尽的答案。无论是日常咨询还是专业问题,Kimi都能以友好、专业的方式提供帮助。

Project Cover

讯飞绘镜

讯飞绘镜是一个支持从创意到完整视频创作的智能平台,用户可以快速生成视频素材并创作独特的音乐视频和故事。平台提供多样化的主题和精选作品,帮助用户探索创意灵感。

Project Cover

讯飞文书

讯飞文书依托讯飞星火大模型,为文书写作者提供从素材筹备到稿件撰写及审稿的全程支持。通过录音智记和以稿写稿等功能,满足事务性工作的高频需求,帮助撰稿人节省精力,提高效率,优化工作与生活。

Project Cover

阿里绘蛙

绘蛙是阿里巴巴集团推出的革命性AI电商营销平台。利用尖端人工智能技术,为商家提供一键生成商品图和营销文案的服务,显著提升内容创作效率和营销效果。适用于淘宝、天猫等电商平台,让商品第一时间被种草。

Project Cover

AIWritePaper论文写作

AIWritePaper论文写作是一站式AI论文写作辅助工具,简化了选题、文献检索至论文撰写的整个过程。通过简单设定,平台可快速生成高质量论文大纲和全文,配合图表、参考文献等一应俱全,同时提供开题报告和答辩PPT等增值服务,保障数据安全,有效提升写作效率和论文质量。

投诉举报邮箱: service@vectorlightyear.com
@2024 懂AI·鲁ICP备2024100362号-6·鲁公网安备37021002001498号