Files
ansiblings/packages/nopy-cubes-core

@bitsquare/nopy-cubes-core

The core cube bundle for nopy: base packages, users, SSH, firewalling, networking, web serving and runtimes.

Install

pnpm add -D @bitsquare/nopy-cubes-core@main \
  --@bitsquare:registry=https://gitea.bitsquare.dev/api/packages/BitSquare/npm/

Both halves are required today. This bundle has not been published to npmjs yet, so it comes from the Gitea registry — and that registry publishes no latest tag, so an untagged install resolves to nothing at all. Name @main (a snapshot of every commit) or @next (a prerelease) explicitly. Point the scope at Gitea rather than setting a bare registry=: Gitea serves @bitsquare only and does not proxy npmjs, so everything else must keep resolving from there. Reading needs no token while the repository is public.

Then name it in .nopyrc.json:

{
  "hosts": ["web-1"],
  "cubePackages": ["@bitsquare/nopy-cubes-core"]
}

nopy resolves the package from the directory of the config file that named it and scans its cubes/ directory exactly as it scans a cubeDirs entry. Nothing has to be linked or copied.

What is in it

Area Cube ids
admin admin:cockpit, admin:hostname, admin:locale
packages apt:essentials, apt:install
hardening armor:fail2ban, armor:ssh, armor:ufw
web caddy, caddy:spa
source git:clone
networking net:tailscale, net:wifi:access-point, net:wifi:connection
runtimes runtime:docker, runtime:nodevm
services service:autostart
ssh ssh:authorize, ssh:keygen, ssh:keyman
users user:add, user:edit

Run nopy and pick from the list, or nopy -P to print the pyinfra commands without executing them. Each cube directory has its own README.md.

Cube ids are global

An id such as apt:essentials is claimed repo-wide, not per bundle: two cubes with the same id — whichever sources they came from — abort the run with an error naming both. Prefix your own cubes distinctly if you also point cubeDirs at a local tree.

The bundle is read-only

Under pnpm the installed files are hardlinked into the global store, so a cube that writes next to its own deploy.py corrupts that store for every project on the machine. Cubes here write to /tmp or to the remote host, never to their own directory.

License

MIT