5d1d4b3ff6
Data layer for extending shared group collections from KV to docs. KV behavior
unchanged (callers pass kind="kv").
- 0054_group_docs.sql: widen the group_collections kind CHECK to ('kv','docs')
and add the group-keyed group_docs store (clone of docs/0013, keyed by
group_id, CASCADE on group delete) + its (group_id,collection) and data GIN
indexes.
- group_collection_repo: thread a `kind` parameter through list_for_owner,
resolve_owning_group, insert/delete_collection_tx; add list_all_for_owner ->
(name,kind) for the kind-aware diff (D4). Relocate the injectable
GroupCollectionResolver trait + Postgres impl here (now shared by kv+docs;
resolve takes kind) — was in group_kv_service.
- group_docs_repo: a near-clone of docs_repo keyed by group_id; find reuses the
generalized build_find_query.
- docs_repo: generalize build_find_query(table, owner_col, owner_id, …) — both
are compile-time literals (no injection); app docs passes ("docs","app_id"),
group docs ("group_docs","group_id"). row_to_doc/build_find_query are now
pub(crate) for reuse.
Schema snapshot re-blessed (55 migrations).
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.