I’m excited to announce the first alpha preview of this project that I’ve been working on for the past 4 months. I’m initially posting about this in a few small communities, and hoping to get some input from early adopters and beta testers.
What is a DHT crawler?
The DHT crawler is Bitmagnet’s killer feature that (currently) makes it unique. Well, almost unique, read on…
So what is it? You might be aware that you can enable DHT in your BitTorrent client, and that this allows you find peers who are announcing a torrent’s hash to a Distributed Hash Table (DHT), rather than to a centralized tracker. DHT’s lesser known feature is that it allows you to crawl the info hashes it knows about. This is how Bitmagnet’s DHT crawler works works - it crawls the DHT network, requesting metadata about each info hash it discovers. It then further enriches this metadata by attempting to classify it and associate it with known pieces of content, such as movies and TV shows. It then allows you to search everything it has indexed.
This means that Bitmagnet is not reliant on any external trackers or torrent indexers. It’s a self-contained, self-hosted torrent indexer, connected via the DHT to a global network of peers and constantly discovering new content.
The DHT crawler is not quite unique to Bitmagnet; another open-source project, magnetico was first (as far as I know) to implement a usable DHT crawler, and was a crucial reference point for implementing this feature. However that project is no longer maintained, and does not provide the other features such as content classification, and integration with other software in the ecosystem, that greatly improve usability.
Currently implemented features of Bitmagnet:
- A DHT crawler
- A generic BitTorrent indexer: Bitmagnet can index torrents from any source, not only the DHT network - currently this is only possible via the /import endpoint; more user-friendly methods are in the pipeline
- A content classifier that can currently identify movie and television content, along with key related attributes such as language, resolution, source (BluRay, webrip etc.) and enriches this with data from The Movie Database
- An import facility for ingesting torrents from any source, for example the RARBG backup
- A torrent search engine
- A GraphQL API: currently this provides a single search query; there is also an embedded GraphQL playground at /graphql
- A web user interface implemented in Angular: currently this is a simple single-page application providing a user interface for search queries via the GraphQL API
- A Torznab-compatible endpoint for integration with the Serverr stack
Interested?
If this project interests you then I’d really appreciate your input:
- How did you get along with following the documentation and installation instructions? Were there any pain points?
- There’s a roadmap of high-priority features on the website - what do you see as the highest priority for near-term development?
- If you’re a developer, are you interested in contributing to the project?
Thanks for your attention. If you’re interested in this project and would like to help it gain momentum then please give it a star on GitHub, and expect further updates soon!
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Dude this is amazing! Exactly the sort of thing I’ve been hoping would pop up to further “decentralize” the torrent search experience.
So I’m trying to run it on my machine through the docker-compose option, and I’m seeing something weird. It shows as successfully running, but when I go to the port it should be running on, I get “unable to connect” on my browser.
When I check my containers running, it shows the 3 bitmagnet containers, but the port doesn’t show.
@mgdigital, first thing I’be noticed: reliance on “heavier” database stack (pg + redis), at least from the first glance at docker-compose. My suggestion would be to have an option for minimalist setup with sqlite and without redis if possible. That would work better for those of us flying with minimal hardware (rpi, old PC and such).
A dht crawler is inherently an intensive service to run, magnetico used sqlite and would take 10 minutes just to load the splash page that includes the total count of discovered torrents.
Hi, this is a great point and one that I’ve already given consideration to. I’ll address separately the issue of the primary datastore ,i.e. Postgres, and the Redis dependency:
Postgres as the only option for the data store
There are 2 reasons for this:
- Performance: while SQLite could offer a simpler/embedded data store, it simply doesn’t have the performance and features of Postgres. Bitmagnet has a faceted search engine and is write-intensive (it will be discovering ~5k torrents per hour and writing these to the database along with associated metadata). As such, its database may not be suitable for running on older hardware. A SQLite adapter, if it was developed, may simply not be up to the job (although as I haven’t attempted this I can’t say what the performance would be like). That said, Bitmagnet itself is not especially resource intensive, you could probably run it on a Raspberry PI but point it to a Postgres instance on some more powerful hardware. At this stage I’ve only been running it on a M2 Mac Mini with Postgres located on its SSD and so would be interested to know people’s mileage on other hardware.
- Development, support and maintenance overhead: I’m a lone developer and this project is already too big for one person. A SQLite adapter, if feasible performance-wise, I think could only happen if other contributors joined the project as my to-do list is already pretty long. It would have to achieve feature parity with the Postgres implementation which makes use of several Postgres-specific features and extensions. It would also mean a longer testing cycle and therefore probably a slower release cadence. That said, if there was enough demand and assistance then I’d be open to looking into the feasibility of this once the rest of the application is a little more mature and the current database schema more finalised.
Redis dependency
Redis is currently used only for the asynchronous task queue. I would like to have put this in Postgres, but there simply is not a good out-of-the-box solution that works well with Postgres and GoLang, and is actively maintained. I looked at quite a few queuing libraries and eventually settled on asynq (https://github.com/hibiken/asynq), which is a great library and does the job well - but could really do with support for non-Redis backends.
Using Redis here was a pragmatic decision that allowed me to make progress, rather than an optimal one. I guess I could have built a simple Postgres-based queue myself but that would have been a distraction and probably sub-optimal compared with a mature/separately developed library. It remains an option. Since I looked into this a new project has sprung up which I’m keeping an eye on - https://www.tork.run/ - it has a Postgres backend and looks like it might be up to the job, but is very new.
So yes, I’m very aware that the additional Redis dependency is not ideal and it may well disappear at some point.
Acronyms, initialisms, abbreviations, contractions, and other phrases which expand to something larger, that I’ve seen in this thread:
Fewer Letters More Letters NAS Network-Attached Storage Plex Brand of media server package SSD Solid State Drive mass storage VPN Virtual Private Network
4 acronyms in this thread; the most compressed thread commented on today has 9 acronyms.
[Thread #191 for this sub, first seen 5th Oct 2023, 14:25] [FAQ] [Full list] [Contact] [Source code]
This looks really cool! How resource intensive is this? What sort of storage requirements are there for this to be a reasonably reliable method of acquiring media? I’m probably just gonna find out myself. I’ve recently fully switched over to usenet, but this could make torrents pretty compelling again.
As someone interested in Usenet, what’s the best provider and client to start with in your opinion?
I’ve been using easynews/nzbgeek/nzbget with an arr stack on debian and it’s worked well for me. I’m fairly new to usenet, so take this with a giant grain of salt.
Running for 6 days, save_pieces: false
My database is currently 184 GB
Great project !
Naming conventions are missing some important information like bitrate, color depth, and most importantly language and subtitles.
Do you plan to scrape additional infos from known torrent sites (searching for torrent hashes for well named torrents) ?
Scraping torrent sites will be avoided is it’ll be prohibitively slow and break the self-sufficiency concept - we’ll infer as much as possible from the torrent meta info alone. You could have a guess at the bitrate from the file sizes. Sonarr/Radarr will already do this for you with quality profiles I think.
This sounds amazing, definitely going to add this to my servarr setup next few days.
Is it safe to run this without a VPN if I am just using it to index?
Does it infiniely crawl, storing all metadata about every torrent it finds forever?
seems to work well
just one question, is it expected to have 10,000 out of 12,000 as unknown?
Very cool!
This looks kinda neat, I even tore down my whole servarr stack to give it a go, alas I can’t get bitmagnet to “talk” with prowlarr. I’m probably doing something really stupid, but I can’t figure out how to add the whole thing under a single docker network, I get errors like
network somename was found but has incorrect label com.docker.compose.network set to ""Looks super interesting; starred!
Will report back once I’ve run through the installation.
Hi, am i missing something, the bitmagnet image keep restarting when i check with “docker ps”, the other 2 containers are working as intended. And port 3333 doesn’t show anything.
There’s a PR currently open for multi-platform builds so should have this sorted soon
What are your logs showing?
docker logs -f bitmagnetlog: exec /bitmagnet: exec format error
I am on ARM (pi4) maybe it’s the issue
deleted by creator
the parent image should support that arm version, so you could just build the docker image locally on your pi and use that.
Btw. There already is an open pull request to add arm support
thanks, for pointing that out, it works great now.
Looks like a fun project, but will you be providing any info on setting it up from scratch? I just don’t have an interest in docker containers.
Hi, yes this is mentioned on the installation page of the website, below the Docker instructions. The app can be installed Dockerless using
go install; if you choose this option you’ll have to provide and configure Postgres and Redis instances for the app to connect to. That said, Docker is the recommended and easiest option.I saw that, but didn’t recognize the ‘go’ command as anything available on Debian. Just did some quick digging though and now I see it’s a new language and I believe I have an idea how to get it installed for compiling so I will give that a shot.
Golang v1.0 was released in March of 2012. Not sure I would consider it a new language.
Maybe I’m misunderstanding but wouldn’t it just be easier to use a good private tracker, assuming you can get an invite?
Yes, of course.
