MechaCat02 4dcb8d1136 feat(hierarchies): extension points — opt-in dynamic module resolution (§5.5)
M1 of the remaining-hierarchies work. An extension point lets a PARENT/group
node opt a module name out of sealed lexical resolution: a parent script's
`import "x"` then resolves against the INHERITING app's module (with a declared
default body as fallback) instead of the parent's sealed chain — so each
descendant app supplies its own `x`. Only the declaring parent can open the
inversion; a descendant can never make a parent's sealed import dynamic or
hijack one (the "is this an extension point" decision keys on the importer's
trusted defining node, never a script-passed value).

Resolver (executor-core):
- `ModuleSource` gains `resolve_extension_point(origin, name)` and a
  chain-constrained `resolve_by_id(origin, id)`. The resolve seam checks for an
  ext point on the importer's chain first; on a hit it resolves against
  `App(cx.app_id)`, else the declared default, else ModuleNotFound. The Postgres
  query returns Some only when the NEAREST declaration of the name is an ext
  point (a peer/nearer concrete module shadows it). A group origin can't reach
  app-owned rows — the trust boundary holds. Cache stays id-keyed (no bleed).

Apply (manager-core, mirrors the `vars` pattern):
- migration 0051: owner-polymorphic `extension_points` table (group XOR app),
  optional `default_script_id` FK ON DELETE SET NULL, per-owner LOWER(name)
  unique indexes.
- Bundle/Plan/CurrentState gain extension_points; `diff_extension_points`
  (name-based, default change = Update), reconcile (upsert after scripts so the
  default resolves) + prune, `validate_bundle` (module-name shape; default must
  be a local module), `check_imports_resolve` (a declared/on-chain ext point
  satisfies an import), and the state_token fold. Writes gate on the
  script-write capability (AppWriteScript / GroupScriptsWrite).
- GET /apps|groups/{id}/extension-points so `pic pull` round-trips them — a
  re-applied pulled manifest is all-NoOp, so `--prune` can't silently drop one.

CLI: `[[extension_points]]` manifest table; plan/apply build + render; pull
exports them.

Tests: 5 resolver units (inversion, default fallback, no-provider error,
no-hijack of a sealed import, no cross-tenant cache bleed), 2 diff/state-token
units, 2 journeys (per-app resolution + default fallback via invoke; pull
round-trip). Schema golden re-blessed.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-26 21:35:29 +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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