DocsServiceImpl mirrors KvServiceImpl's script-as-gate authz pattern,
the empty-collection rejection, and the best-effort emitter call —
adding "data must be a JSON object" validation, NotFound on update of
a missing doc, and prev_data plumbing via repo.update returning the
prior data.
PostgresDocsRepo handles CRUD against the docs table. The find path
runs through the v1.1.2 query DSL parser (docs_filter::parse_filter)
before building parameterised SQL via sqlx::QueryBuilder:
* Every field-path segment + comparison value is bound as $N.
* jsonb_extract_path_text(data, $N1, $N2, ...) handles variable
depth without segment interpolation.
* Base WHERE is fixed: WHERE app_id = $1 AND collection = $2.
Filter conditions can only narrow, never widen. Load-bearing
test in sql_shape_tests pins this prefix on every emitted query
+ asserts no user string ever lands in the SQL text.
* $ne uses IS DISTINCT FROM (not <>) so missing paths + JSON nulls
are correctly included.
* $in binds the value list as TEXT[] via = ANY($N::text[]).
* $sort always appends a ", id ASC" tiebreaker for stable cursor
pagination semantics; $limit is clamped to MAX_FIND_LIMIT.
docs_filter is the AST + parser for the DSL. Operator allowlist is
explicit; any non-v1.1.2 operator throws UnsupportedOperator with a
v1.2 pointer. Snapshot tests pin the SDK-contract error strings so
changing them is a deliberate act.
Two new Capability variants — AppDocsRead and AppDocsWrite — map to
the existing Scope::ScriptRead and ScriptWrite per the seven-scope
commitment from v1.1.0. role_satisfies grants read at Viewer,
write at Editor (same trust shape as KV).
59 unit tests added across the three new files. All pass.
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.