MechaCat02 0973344515 feat(cli): collections manifest + ls + journeys; rename to kv::shared_collection (§11.6 C5)
Finish the §11.6 KV slice: declarative authoring, read-only inspection, the
runtime journey, and docs — plus a forced SDK-name fix.

- SDK name: `shared` is a Rhai RESERVED keyword, so `kv::shared(...)` is a parse
  error. Renamed the handle constructor to `kv::shared_collection(...)`
  (keeps the user's "shared" intent; unambiguous). Updated everywhere.
- CLI manifest: `collections = [...]` on `[group]` only (ManifestApp has no such
  field + deny_unknown_fields → an app manifest carrying it is a hard error);
  Manifest::collections() accessor; build_bundle emits it.
- plan/apply: a `collection` row group in `pic plan`; created/deleted counts in
  the apply summary; collections threaded through PlanDto/NodePlanDto/
  ApplyReportDto.
- read-only `pic collections ls --group` → GET /admin/groups/{id}/collections
  (viewer+), backed by ApplyService::collection_report + CollectionInfo.
- journey: a group declares `catalog`; app A writes, app B (same subtree) reads
  it back; a sibling-subtree app gets CollectionNotShared; `collections ls` +
  re-apply NoOp. Full suite 114/114.
- docs: groups-and-project-tool §11.6 (KV-only MVP shipped + deferrals),
  sdk-shape.md (the shared-collection handle + trust model), CLAUDE.md.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-29 22:26:43 +02:00

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.

Description
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