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Create your own off-grid library
https://wrolpi.org
811793d767
* perpetual: clear in-progress flags after a crash; downloads only in the perpetual process Found by a kill -9 stress test on a device: A SIGKILL inside `with flags.file_worker_counting` (or any of the file worker's progress flags) left the shared flag set, so every later refresh raised "flag is already set" until the whole API was restarted. reconcile_after_predecessor now clears the perpetual process's in-progress flags (file_worker_*, global_refresh_active) and reports it. create_downloads started a dispatch in whatever process called it, so an API worker executed downloads (and could take transcode_lock) despite the single-process design. It now dispatches only inside the perpetual process (or under pytest); the download loop picks new rows up within seconds otherwise. The shared restart cooldown drops from 60 s to 15 s: it only has to outlast the manager acting on a request, and a replacement that dies right away was left dead for the rest of the minute. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> * systemd: KillMode=mixed for the API so main shuts its own children down With control-group kill, SIGTERM reaches the multiprocessing Manager at the same moment as Sanic's main process; main's cleanup then writes worker state to a dead Manager (broken pipe) and exits 1, so a plain `systemctl stop` is recorded as a failure whenever a child takes a moment to stop (a transcode being killed, for instance). Signal only main; it stops the workers and the perpetual process itself. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> * perpetual: clear an in-progress flag only when its holder is dead `with flag:` now records the holder pid in shared_ctx.flag_holders and drops it on exit. The reconcile step clears the flags only the perpetual process ever enters (file_worker_counting, file_worker_discovery, global_refresh_active) whenever they are set, and the flags API workers also enter (file_worker_modeling / indexing / cleanup via refresh_sync, map_search_building via the map rebuild endpoints) only when the recorded holder is dead. file_worker_busy is no longer touched: a collection move in an API worker holds it as a mutex, and process_queue drops a stale one itself. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> --------- Co-authored-by: Claude Fable 5.1 <noreply@anthropic.com> |
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WROLPi
Create your own off-grid library.
WROLPi is a self-contained collection of software to help you survive the world Without Rule of Law.
WROLPi is intended to be run on a Raspberry Pi with an optional external drive attached. It serves up it's own Wi-Fi network so that any user with a laptop/tablet/phone can connect and use the library created by the maintainer.
Table of Contents
Features
- Videos
- Web Archives
- Maps
- Wikipedia
- File search
- eBooks (EPUB / PDFs)
- Wi-Fi Hotspot
- Universal search
- Food Inventory management
- One-Time pad generator, encrypter/decrypter
- Synchronizer/duplicator
- Food storage calculator
Module features matrix
| Module | View | Search | Download | Project |
|---|---|---|---|---|
| Videos | yes | yes | yes | yt-dlp |
| Web Archives | yes | yes | yes | Singlefile |
| Wikipedia | yes | yes | yes | Kiwix |
| eBooks | yes | yes | planned | EPUB/PDF |
| Map | yes | yes | yes | Protomaps |
| Podcasts/Audio | yes | planned | planned |
Demo
Download
Images are available at wrolpi.org
Try WROLPi!
You can try out WROLPi by running the docker containers.
- Install docker-ce and docker-compose
- Copy the latest WROLPi code.
git clone https://github.com/lrnselfreliance/wrolpi.git
- Change directory into the code base.
cd wrolpi
- Initialize git submodules
git submodule update --init
- Build the containers.
docker-compose build --parallel
- Create volumes.
docker volume create --name=openstreetmap-datadocker volume create --name=openstreetmap-rendered-tiles
- Initialize the database (SQLite in the media directory).
docker-compose run --rm api db upgrade
- Start the docker containers.
docker-compose up
- Browse to WROLPi.
More Docker documentation is available in docker/README.md
Install WROLPi
Full installation instructions are in INSTALL.md. Pick the option that matches your hardware:
- WROLPi Portable (Live USB) — boot a complete WROLPi from a USB stick on any x86 PC or laptop. Nothing is installed to the computer; the first boot creates a persistence partition on the USB so your library, database, and configuration survive reboots.
- Debian 12 — install WROLPi onto an x86 PC or laptop.
- Raspberry Pi — install WROLPi onto a Raspberry Pi with an external drive.
- Docker — run the WROLPi containers on an existing Linux host.
Charter
Guiding Principals
- Storage is cheaper than power.
- Two is one, one is none.
- Run silently.
- Primary, secondary, tertiary.
- Secure as a bookshelf in your home.
Physical properties
- A WROLPi instance should be capable of running with a minimal of hardware:
- Raspberry Pi
- SD card
- External USB hard drive
- Power supply and cables
- Wi-Fi USER device such as a phone, tablet, or laptop.
- A WROLPi instance should consume a minimal amount of electricity during WROL event. It is expected power will be scarce when WROLPi is needed most.
User expectations
- A WROLPi instance should be run and maintained by a person (MAINTAINER) with a moderate amount of Linux and Raspberry Pi experience. It is expected that they should be able to do this using only the documentation on their WROLPi.
Software properties and capabilities
- A WROLPi instance should be able to "factory-reset" itself without any outside services.
- WROLPi should function completely without any internet services.
- A user should have easy access to their data if WROLPi fails:
- For example, a user can watch their videos by navigating a short and intuitive directory structure and opening the video in their preferred video player.
- WROLPi should be self-documented. The UI should contain a tutorial for USERS as well as the MAINTAINER.
- If the UI isn't functional, the code should be documented such that a user can restore functionality.
- WROLPi should favor pre-processing, rather than processing during a WROL event. Such as re-encoding a video, or processing captions. This is to ensure that when a user adds content during non-WROL time, the processing for optimum performance is already done for a WROL event.
Join!
