d9766bcbc7
The runtime for shared group collections. A script reaches a shared store via
the explicit kv::shared("name") handle (distinct GroupKvHandle Rhai type, so
private-vs-shared scope is a deliberate choice). The service resolves the
owning group from cx.app_id's ancestor chain — the script never names a group,
and that walk is the isolation boundary (a foreign app's chain never contains
the owning group → CollectionNotShared).
- shared: GroupKvService trait + GroupKvError + NoopGroupKvService; threaded
into the Services bundle as a field defaulted to noop, opted into via a new
with_group_kv() (keeps the ~14 Services::new call sites unchanged).
- manager-core: GroupKvServiceImpl with the reads-open/writes-authed split —
reads use script_gate (anonymous public scripts skip), writes use the new
script_gate_require_principal (anonymous fails closed). Owner resolution
behind a GroupCollectionResolver trait (Postgres impl + injectable fake);
unit tests cover off-chain CollectionNotShared, anonymous-read-OK/
anonymous-write-Forbidden, authed-no-role-Forbidden.
- executor-core: GroupKvHandle + kv::shared constructor + get/set/has/delete/
list (Rhai dispatches by receiver type, reusing the block_on bridge).
- picloud: wire PostgresGroupKvRepo + resolver + GroupKvServiceImpl.
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.