4bec613897
This is a big one, so let me enumerate: Accounts as well as stream entry pages now contain Link headers that reference the Atom feed and Webfinger URL for the former and Atom entry for the latter. So you only need to HEAD those resources to get that information, no need to download and parse HTML <link>s. ProcessFeedService will now queue ThreadResolveWorker for each remote status that it cannot find otherwise. Furthermore, entries are now processed in reverse order (from bottom to top) in case a newer entry references a chronologically previous one. ThreadResolveWorker uses FetchRemoteStatusService to obtain a status and attach the child status it was queued for to it. FetchRemoteStatusService looks up the URL, first with a HEAD, tests if it's an Atom feed, in which case it processes it directly. Next for Link headers to the Atom feed, in which case that is fetched and processed. Lastly if it's HTML, it is checked for <link>s to the Atom feed, and if such is found, that is fetched and processed. The account for the status is derived from author/name attribute in the XML and the hostname in the URL (domain). FollowRemoteAccountService and ProcessFeedService are used. This means that potentially threads are resolved recursively until a dead-end is encountered, however it is performed asynchronously over background jobs, so it should be ok. |
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| app | ||
| bin | ||
| config | ||
| db | ||
| lib | ||
| log | ||
| public | ||
| spec | ||
| vendor/assets | ||
| .babelrc | ||
| .dockerignore | ||
| .env.production.sample | ||
| .eslintrc | ||
| .gitignore | ||
| .rspec | ||
| .ruby-version | ||
| .travis.yml | ||
| Dockerfile | ||
| Gemfile | ||
| Gemfile.lock | ||
| LICENSE | ||
| README.md | ||
| Rakefile | ||
| config.ru | ||
| docker-compose.yml | ||
| package.json | ||
README.md
Mastodon
Mastodon is a federated microblogging engine. An alternative implementation of the GNU Social project. Based on ActivityStreams, Webfinger, PubsubHubbub and Salmon.
Focus of the project on a clean REST API and a good user interface. Ruby on Rails is used for the back-end, while React.js and Redux are used for the dynamic front-end. A static front-end for public resources (profiles and statuses) is also provided.
If you would like, you can support the development of this project on Patreon.
Current status of the project is early development
Resources
Status
- GNU Social users can follow Mastodon users
- Mastodon users can follow GNU Social users
- Retweets, favourites, mentions, replies work in both directions
- Public pages for profiles and single statuses
- Sign up, login, forgotten passwords and changing password
- Mentions and URLs converted to links in statuses
- REST API, including home and mention timelines
- OAuth2 provider system for the API
- Upload header image for profile page
- Deleting statuses, deletion propagation
- Real-time timelines via Websockets
Configuration
LOCAL_DOMAINshould be the domain/hostname of your instance. This is absolutely required as it is used for generating unique IDs for everything federation-relatedLOCAL_HTTPSset it totrueif HTTPS works on your website. This is used to generate canonical URLs, which is also important when generating and parsing federation-related IDsHUB_URLshould be the URL of the PubsubHubbub service that your instance is going to use. By default it is the open service of Superfeedr
Consult the example configuration file, .env.production.sample for the full list.
Requirements
- PostgreSQL
- Redis
Running with Docker and Docker-Compose
The project now includes a Dockerfile and a docker-compose.yml. You need to turn .env.production.sample into .env.production with all the variables set before you can:
docker-compose build
And finally
docker-compose up -d
As usual, the first thing you would need to do would be to run migrations:
docker-compose run web rake db:migrate
And since the instance running in the container will be running in production mode, you need to pre-compile assets:
docker-compose run web rake assets:precompile
The container has two volumes, for the assets and for user uploads. The default docker-compose.yml maps them to the repository's public/assets and public/system directories, you may wish to put them somewhere else. Likewise, the PostgreSQL and Redis images have data containers that you may wish to map somewhere where you know how to find them and back them up.
Updating
This approach makes updating to the latest version a real breeze.
git pull
To pull down the updates, re-run
docker-compose build
And finally,
docker-compose up -d
Which will re-create the updated containers, leaving databases and data as is. Depending on what files have been updated, you might need to re-run migrations and asset compilation.