Make the declarative collection surface carry a `kind` so docs (and future
kinds) are declarable. Back-compatible: the shipped `collections = ["catalog"]`
form still means kv.
- manifest: `collections` entries are now `CollectionDecl` — an untagged enum of
a bare string (kv shorthand) or a `{ name, kind }` table (kind ∈ kv/docs).
`Manifest::collections()` normalizes to `(name, kind)` pairs; build_bundle
emits `[{name, kind}]`. Still `[group]`-only. Unit test covers the
string-or-table mix + app rejection.
- apply: `Bundle.collections: Vec<CollectionSpec>` ({name, kind=default "kv"});
`CurrentState.collections: Vec<(name,kind)>` via list_all_for_owner;
`diff_collections` keys each change by name with `detail = kind` and identity
`(LOWER(name), kind)` (so a kv and a docs collection of the same name are
distinct); reconcile reads the kind from `detail`; state_token folds
`coll|{kind}|{name}`; validate_bundle rejects unknown kinds + dups by
(name,kind); `collection_report`/CollectionInfo + `pic collections ls` gain a
kind column.
Existing kv journeys + nearest-wins still green (the bare-string form normalizes
to kind=kv end to end).
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.