e142d471e1
executor-core/sdk/retry.rs adds the retry:: namespace with:
retry::policy(opts) -> Policy
retry::on_codes(policy, codes) -> Policy
retry::run(policy, closure) -> Dynamic (closure's return value)
NOTE: the brief specified retry::with(...), but `with` is a Rhai
reserved keyword (parse error before registration even matters). `call`
is also reserved. Shipping retry::run instead — flagged in HANDBACK §7.
Policy:
- max_attempts clamped to [1, 20]
- base_ms clamped to [1, 60_000]
- jitter_pct clamped to [0, 100]
- backoff ∈ {"exponential" | "linear" | "constant"} — bogus values
surface a clear error
- on_codes is an empty default ("retry any throw"); when non-empty,
only error messages containing one of the codes retry — others
surface immediately
retry::run uses NativeCallContext + FnPtr::call_within_context to
re-invoke the closure inside the caller's engine. Closures share the
caller's cx (Rhai semantics). If the closure calls invoke(), the inner
call gets a fresh cx with trigger_depth + 1 via the invoke bridge —
retry doesn't see or interfere with that.
Sleep between attempts: tokio::time::sleep through TokioHandle::block_on.
Safe because we're already inside the caller's spawn_blocking thread.
register_all gains retry::register positionally between queue and
secrets.
Unit tests (7): policy default, max_attempts clamping (0→1, 999→20),
base_ms + jitter clamping, bogus backoff reject, exponential doubles,
linear sums, constant.
Integration tests (sdk_retry.rs, 6 binaries):
- succeeds first try (returns 42)
- max_attempts exhausted surfaces last error ("boom")
- on_codes filters — non-matching error throws immediately
- jitter clamping is silent (script still runs)
- bogus backoff string surfaces a clear error
- "fails 2 then succeeds" — counter mutates across retries, 3rd
attempt returns 3 (validates Rhai closure-capture semantics across
re-invocations through NativeCallContext)
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.