0473d295af
Establish how versions are assigned, bumped, and checked across the
five things that actually change for users: the product itself, the
Rhai SDK, the HTTP API, the database schema, and the inter-service
wire (reserved for cluster mode). Crates ship in lockstep — drift
between picloud-shared and picloud-manager-core is fiction since
they always release together — but surfaces are versioned and
checked at their natural boundaries.
* docs/versioning.md is the authoritative reference: what gets a
version, the per-surface compatibility rules, how each surface
bump cascades to the product version (loose pre-1.0, strict
post-1.0), and the five enforcement mechanisms (lockstep at
compile time, /version at runtime, golden SDK contract tests,
migration replay, CI guardrail).
* shared::version exposes four constants — PRODUCT_VERSION (from
CARGO_PKG_VERSION), SDK_VERSION ("1.0"), API_VERSION (1),
WIRE_VERSION (1). Scripts read SDK_VERSION as ctx.sdk_version
and can feature-detect against it.
* Workspace inheritance: `[workspace.package] version = "0.2.0"`
is the single point of truth; every crate uses
`version.workspace = true`. dashboard/package.json mirrors.
* Routes move to /api/v1/* — both control plane
(/api/v1/admin/*) and data plane (/api/v1/execute/{id}).
Picloud composes them via a single `/api/v{API_VERSION}` nest,
so the next major is a copy-paste-and-bump. Caddyfile (dev and
prod) routes /api/v1/* to picloud and 404s any other /api/*
so old clients fail loudly instead of getting the SPA shell.
Dashboard client + integration tests updated.
* /healthz remains a plain "ok" string (k8s probes); /version is
the new JSON endpoint returning every surface version in one
place — product, sdk, api, schema (from
manager-core::migrations::latest_version), wire.
* Reasonable bump rationale: API path changes are breaking by
definition, so 0.1.0 → 0.2.0 (pre-1.0 license to bump minor on
any breaking change). SDK starts at 1.0 because scripts depend
on it more strictly than the product depends on its internals;
we'd rather promise SDK stability early than pull the rug.
Verified live:
* /healthz → "ok" (plain text)
* /version → {product:"0.2.0",sdk:"1.0",api:1,schema:1,wire:1}
* /api/v1/admin/scripts → 200
* /api/admin/scripts → 404 with error JSON (sunset major)
* Script can read ctx.sdk_version → "1.0"
* All 14 integration tests pass against new paths
* 11 executor-core unit tests pass (added one for sdk_version
exposure with the major.minor format invariant)
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.