pic plan/apply for a group node (Phase 5 C2)
Phase 5 C2. A `picloud.toml` can now declare a `[group]` node (instead of
`[app]`): the group's own scripts + `[vars]` (+ secret names). `pic plan` /
`pic apply` reconcile it via the C1 group endpoints — the same plan/apply/
bound-token flow as an app, routed by node kind.
* `Manifest` is now app-XOR-group: `app`/`group` are both optional with an
exactly-one check in `parse`, plus a group-node guard that rejects
`[[routes]]`/`[[triggers]]` (those bind to an app). Accessors `slug()` /
`is_group()` replace the hardcoded `manifest.app.slug`.
* `client`: `plan_node`/`apply_node` take a `NodeKind { App | Group }` that
selects the `apps` vs `groups` API path; the old `plan`/`apply` wrappers
are gone (callers pass the kind).
* `pic plan`/`apply` detect the node kind from the manifest and label output
`group`/`app`; `pic config --effective` cleanly rejects a group manifest
(effective config is an app's inherited view).
Live-validated: a `[group]` manifest with a script + var → `pic plan` (script
+ var creates) → `pic apply` (group-owned) → idempotent re-plan noop →
`pic scripts ls --group` shows it. Manifest unit test for group parse +
app-only-block rejection; init/pull/plan/apply/overlay journeys all green.
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.