a432091191
Server-side foundation for Phase-2 groups (no group-owned resources yet):
Shared types:
- GroupId, Group; App gains group_id; AppRole::{precedence,max} for
folding the highest effective role across the membership chain.
Repos:
- group_repo: tree CRUD with reparent (ancestor-walk cycle guard under a
coarse instance-wide structural advisory lock; slug frozen; bumps
structure_version) and delete=RESTRICT (refuses non-empty groups).
- group_members_repo: per-(user, group) role grants, mirroring app_members.
Hierarchy-aware authz (§5.3):
- AuthzRepo gains effective_app_role / effective_group_role (default to
direct membership / none, so the ~18 existing test stubs are untouched);
the Postgres impl resolves each via one depth-bounded recursive CTE that
MAXes the app's own row with every ancestor group_members row.
- can(): the Member path now folds inherited group roles, so a group_admin
on any ancestor is implicitly app_admin beneath it. New Capability
variants InstanceCreateGroup / Group{Read,Write,Admin}; group caps carry
no app_id (bound API keys can't manage groups). 8 new unit tests.
Admin API:
- groups_api: group CRUD + reparent (admin at both source and destination
parent, §5.6) + per-group members, all capability-gated.
- apps: POST /apps takes an optional parent group (default root); app
responses carry group_id; my_role now reflects the effective role.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
PiCloud
A lightweight, self-hosted, event-driven serverless compute platform. Upload a Rhai script, get an HTTP endpoint. Designed to run on a single modest server with no idle CPU cost, and to scale out to a small cluster when you need it.
Status: Phase 1 — MVP scaffolding in progress.
The authoritative design lives in
serverless_cloud_blueprint.md.
Why
Existing serverless platforms are either cloud-locked, heavyweight, or both. PiCloud aims for the opposite end of the spectrum: one binary, one database, one reverse proxy — running on hardware you already own.
Architecture (one paragraph)
PiCloud splits into three logical services — manager (control plane: scripts, schedules, dashboard), orchestrator (per-node event ingress and dispatch), and executor (per-node Rhai sandbox) — each backed by a *-core Rust library. In MVP they run in a single process; in cluster mode they run as three binaries with one manager and one orchestrator + executor per node. Caddy fronts everything; PostgreSQL is the single source of truth.
See CLAUDE.md for working notes and serverless_cloud_blueprint.md for the full design.
Quick Start
Coming as scaffolding lands. For now:
# Rust toolchain (pinned via rust-toolchain.toml)
cargo check --workspace
# Run the all-in-one MVP binary (once main.rs is wired up)
cargo run -p picloud
Repository Layout
crates/
shared/ cross-cutting types
executor-core/ Rhai engine + sandbox
orchestrator-core/ event ingress, dispatch
manager-core/ control plane
picloud/ MVP all-in-one binary
picloud-{manager,orchestrator,executor}/ cluster-mode binaries (skeleton)
dashboard/ SvelteKit
caddy/ Caddyfile
docker/ Dockerfiles
docs/
git-workflow.md Trunk-based workflow
Contributing
See docs/git-workflow.md for the branching and commit conventions. TL;DR: trunk-based, short-lived branches, Conventional Commits, no force-pushing main.
License
TBD.