Mark Felder
5da9cbd8a5
Rich Media parsing was previously handled on-demand with a 2 second HTTP request timeout and retained only in Cachex. Every time a Pleroma instance is restarted it will have to request and parse the data for each status with a URL detected. When fetching a batch of statuses they were processed in parallel to attempt to keep the maximum latency at 2 seconds, but often resulted in a timeline appearing to hang during loading due to a URL that could not be successfully reached. URLs which had images links that expire (Amazon AWS) were parsed and inserted with a TTL to ensure the image link would not break. Rich Media data is now cached in the database and fetched asynchronously. Cachex is used as a read-through cache. When the data becomes available we stream an update to the clients. If the result is returned quickly the experience is almost seamless. Activities were already processed for their Rich Media data during ingestion to warm the cache, so users should not normally encounter the asynchronous loading of the Rich Media data. Implementation notes: - The async worker is a Task with a globally unique process name to prevent duplicate processing of the same URL - The Task will attempt to fetch the data 3 times with increasing sleep time between attempts - The HTTP request obeys the default HTTP request timeout value instead of 2 seconds - URLs that cannot be successfully parsed due to an unexpected error receives a negative cache entry for 15 minutes - URLs that fail with an expected error will receive a negative cache with no TTL - Activities that have no detected URLs insert a nil value in the Cachex :scrubber_cache so we do not repeat parsing the object content with Floki every time the activity is rendered - Expiring image URLs are handled with an Oban job - There is no automatic cleanup of the Rich Media data in the database, but it is safe to delete at any time - The post draft/preview feature makes the URL processing synchronous so the rendered post preview will have an accurate rendering Overall performance of timelines and creating new posts which contain URLs is greatly improved. |
||
---|---|---|
.gitea/issue_template | ||
.woodpecker | ||
benchmarks | ||
changelog.d | ||
ci | ||
config | ||
docker-resources | ||
docs | ||
installation | ||
lib | ||
priv | ||
rel | ||
restarter | ||
scripts | ||
test | ||
uploads | ||
.credo.exs | ||
.dockerignore | ||
.formatter.exs | ||
.gitattributes | ||
.gitignore | ||
.mailmap | ||
AGPL-3 | ||
CC-BY-4.0 | ||
CC-BY-SA-4.0 | ||
CHANGELOG.md | ||
CODE_OF_CONDUCT.md | ||
COPYING | ||
docker-compose.yml | ||
docker-entrypoint.sh | ||
Dockerfile | ||
FEDERATION.md | ||
mix.exs | ||
mix.lock | ||
README.md | ||
SECURITY.md | ||
SIGNING_KEY.pub |
akkoma
a smallish microblogging platform, aka the cooler pleroma
About
This is a fork of Pleroma, which is a microblogging server software that can federate (= exchange messages with) other servers that support ActivityPub. What that means is that you can host a server for yourself or your friends and stay in control of your online identity, but still exchange messages with people on larger servers. Akkoma will federate with all servers that implement ActivityPub, like Friendica, GNU Social, Hubzilla, Mastodon, Misskey, Peertube, and Pixelfed.
Akkoma is written in Elixir and uses PostgreSQL for data storage.
For clients it supports the Mastodon client API with Pleroma extensions (see the API section on https://docs.akkoma.dev/stable/).
Differences with Pleroma
Akkoma is a faster-paced fork, it has a varied and potentially experimental feature set tailored specifically to the corner of the fediverse inhabited by the project creator and contributors.
This should not be considered a one-for-one match with pleroma; it is more opinionated in many ways, and has a smaller community (which is good or bad depending on your view)
For example, Akkoma has:
- Custom Emoji reactions (compatible with misskey)
- Misskey-flavoured markdown support
- Elasticsearch and Meilisearch support for search
- Mastodon frontend (Glitch-Soc and Fedibird flavours) support
- Automatic post translation via DeepL or LibreTranslate
- A multitude of heavy modifications to the Pleroma Frontend (Pleroma-FE)
- The "bubble" concept, in which instance administrators can choose closely-related instances to make a "community of communities", so to say
And takes a more opinionated stance on issues like Domain blocks, which are enforced far more on Akkoma.
Take a look at the Changelog if you want a full list of recent changes, everything since 3.0 has been Akkoma.
Installation
OTP releases (Recommended)
If you are running Linux (glibc or musl) on x86, the recommended way to install Akkoma is by using OTP releases. OTP releases are as close as you can get to binary releases with Erlang/Elixir. The release is self-contained, and provides everything needed to boot it. The installation instructions are available here.
From Source
If your platform is not supported, or you just want to be able to edit the source code easily, you may install Akkoma from source.
Docker
Docker installation is supported via this setup
Packages
Akkoma is packaged for YunoHost and can be found and installed from the YunoHost app catalogue.
Compilation Troubleshooting
If you ever encounter compilation issues during the updating of Akkoma, you can try these commands and see if they fix things:
mix deps.clean --all
mix local.rebar
mix local.hex
rm -r _build