c38c46b8bc
Running the E2E suites against real Postgres surfaced three shape bugs
in the test scripts that caused false failures:
invoke_e2e:
- invoke_cross_app_rejects used two TestServer instances (one per app),
but the second server's Owner admin isn't a member of the first
server's app. Replaced with a single server that creates both apps
via the same Owner admin (which has implicit access to every app).
- invoke_depth_limit_exceeds_cleanly: the recurser script had its own
try/catch, so when the depth limit fired inside the deepest call the
caught error became the BODY of a 200 response (which invoke()
returns to the caller). The outer caller's try/catch never saw a
throw → assertion failed. Rewrote so the recurser propagates throws
(no inner try-catch); the outer caller's try-catch surfaces the
depth error all the way up.
retry_e2e:
- All three tests used HTTP routes which need a domain claim the test
apps don't have (`no app claims host ""` 404s). Switched to the
admin bypass POST /api/v1/execute/{id} — same pattern dispatcher_e2e
uses. Sidesteps the per-app domain matcher entirely.
- retry_run_surfaces_last_error_after_max_attempts: try-catch is a
statement in Rhai, not an expression, so the block didn't evaluate
to the catch arm's map. Refactored to bind to `let out` inside the
catch arm, then return `#{ statusCode: 200, body: out }` as the
final expression.
All 11 v1.1.9 E2E tests now pass against Postgres:
queue_e2e: 4 passed (33s — exercises retry + dead-letter)
invoke_e2e: 4 passed (2s)
retry_e2e: 3 passed (2.5s)
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.