563c44ad95
manager-core/invoke_service.rs implements InvokeService over:
- ScriptRepository (for Id + Name resolution)
- RouteTable (for Path resolution via the orchestrator's matcher)
- OutboxRepo (for invoke_async)
Same-app guard runs at the service entry point: resolve_id() always
verifies resolved.app_id == cx.app_id and returns InvokeError::CrossApp
otherwise. resolve_name() reads cx.app_id when querying (so a wrong
app_id from somewhere else couldn't slip through), but defense-in-depth
won't hurt — future hardening if it surfaces.
resolve_path() runs the matcher against this app's routes only
(RouteTable::snapshot_for_app). Method assumed POST→GET fallback for
v1.1.9 — surfacing method via the SDK is a future addition.
enqueue_async() resolves the target, then writes one outbox row with
source_kind = 'invoke'. The payload carries script_id, script_name,
args, fresh execution_id, root_execution_id (inherited from caller),
trigger_depth + 1. caller principal recorded as origin_principal
(forensic only — the executing script runs with no principal). One
shot — no retry policy on the row; users wrap in retry::with() if
they want retries.
picloud/lib.rs:
- route_table construction moved BEFORE Services::new so the invoke
service can hold it. populates from route_repo as before.
- InvokeServiceImpl wired into Services::new in place of the
NoopInvokeService placeholder.
Unit tests cover: resolve by Id same-app, cross-app rejected, resolve
by Name finds + not-found, enqueue_async writes Invoke outbox row with
trigger_depth=1.
Co-Authored-By: Claude Opus 4.7 (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.