6b99f74c48
Wires the KV store into Rhai scripts via the handle pattern:
let widgets = kv::collection("widgets");
widgets.set("k", #{ n: 1 });
let v = widgets.get("k"); // value or () if absent
widgets.has("k") / widgets.delete("k")
let page = widgets.list(); // cursor-style pagination
`KvHandle` is a custom Rhai type holding `Arc<dyn KvService>` + the
per-call `Arc<SdkCallCx>`. Methods route async service calls through
`tokio::Handle::current().block_on(...)` — works because
`LocalExecutorClient` runs the script under `spawn_blocking` so a
runtime is reachable. The bridge surfaces `app_id` exclusively
through `cx.app_id`; no public-facing argument can spoof an app.
`TriggerEvent` lands in `picloud-shared` as the wire shape the
dispatcher will emit (KV + DeadLetter variants — KV exercised now,
DL hooks up with the dispatcher in commit 5/8). `SdkCallCx` and
`ExecRequest` grow `is_dead_letter_handler: bool` and
`event: Option<TriggerEvent>`. `engine.rs::build_ctx_map` flattens
the event into `ctx.event` for triggered handlers; direct ingress
leaves the key absent so scripts can `if "event" in ctx`.
Tests:
- 7 `sdk_kv.rs` integration tests covering the full Rhai surface
(round-trip, missing-key unit, has bool, delete was-present,
empty-collection rejection, cursor pagination, cross-app
isolation through the bridge).
- 3 new `engine.rs` tests pinning `ctx.event` shape per
design notes §4 (KV insert with value, delete with unit value,
direct invocations have no `event` key).
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.