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wild-pc/docs/component-registry.md

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# Registry
How castle tracks, configures, and manages programs, services, and jobs.
This is the central reference for `castle.yaml` structure and the registry
architecture.
## castle.yaml
The single source of truth. Lives at `~/.castle/castle.yaml`. Three top-level
sections:
```yaml
gateway:
port: 9000
programs:
my-tool:
description: Does something useful
source: code/my-tool
stack: python-cli
behavior: tool
system_dependencies: [pandoc]
services:
my-service:
component: my-service
run:
runner: python
program: my-service
expose:
http:
internal: { port: 9001 }
health_path: /health
proxy:
caddy: { path_prefix: /my-service }
manage:
systemd: {}
jobs:
my-job:
component: my-tool
run:
runner: command
argv: [my-tool, sync]
schedule: "0 2 * * *"
manage:
systemd: {}
```
### Section semantics
| Section | Purpose | Category |
|---------|---------|----------|
| `programs:` | Software catalog — what exists | tool, frontend, daemon |
| `services:` | Long-running daemons — how they run | service |
| `jobs:` | Scheduled tasks — when they run | job |
Services and jobs can reference a program via `component:` for description
fallthrough and source code linking. They can also exist independently
(e.g., `castle-gateway` runs Caddy — not our software).
## Program blocks
Programs define **what software exists** — identity, source, behavior, builds.
### `behavior` — What role this program plays
```yaml
behavior: daemon # or: tool, frontend
```
Explicit declaration of how the program is used:
- **daemon** — long-running service (python-fastapi stack)
- **tool** — CLI utility (python-cli stack)
- **frontend** — web UI (react-vite stack)
### `source` — Where the source lives
```yaml
source: code/my-tool # your programs, under ~/.castle/code/
source: repo:castle-api # castle's own programs, inside the git repo
```
The `source` path is resolved one of three ways (`core/src/castle_core/config.py`):
| `source:` value | Resolves to | Used for |
|-----------------|-------------|----------|
| `code/my-tool` *(relative)* | `$CASTLE_HOME/code/my-tool` | Your own programs |
| `repo:castle-api` | `<repo>/castle-api` (via the top-level `repo:` field) | Castle's built-in programs |
| `/abs/path` | as-is | Anything explicitly absolute |
Relative sources resolve against the castle home (`$CASTLE_HOME`, default
`~/.castle` — see [Infrastructure paths](#infrastructure-paths)). Most programs
you create live under **`$CASTLE_HOME/code/`** and are recorded as
`source: code/<name>`. Castle's own programs (CLI, core, castle-api, app) live in
the git repo and use the `repo:` prefix. When `castle deploy` writes `castle.yaml`
back out, it rewrites absolute paths into these relative forms.
### `stack` — Development toolchain (optional)
```yaml
stack: python-fastapi # or: python-cli, react-vite — OPTIONAL
```
A stack provides **default** dev-verb commands (build/test/lint/type-check/…)
and a scaffold template for new code. It is **optional**: a program with no
stack works fine as long as it declares its own `commands:`. Stacks are a
creation-time convenience, not a runtime requirement.
### `commands` — Per-program dev verbs
```yaml
commands:
lint: [["ruff", "check", "."]]
test: [["pytest", "tests/"]]
run: [["./bin/my-tool", "--serve"]]
```
Each verb is a list of argv lists (run in sequence). A declared verb **overrides**
the stack default; an absent verb falls back to the stack handler (if any), else
the verb is unavailable. `build` is declared via `build:` (it also carries
`outputs:`); every other verb via `commands:`. This is what lets a wired-in repo
with no stack be linted/tested/run. Verb resolution lives in
`core/src/castle_core/stacks.py` (`run_action`, `available_actions`).
### `repo` / `ref` — Wiring in an existing repo
```yaml
repo: https://github.com/me/widget.git
ref: v2.1.0 # optional branch/tag/commit
```
`repo` records a git URL so `castle clone` can provision the source on a fresh
machine. When `source:` points at an existing working copy, that takes
precedence. Use `castle add <path|url>` to register an existing repo as a program.
### `system_dependencies` — Required system packages
```yaml
system_dependencies: [pandoc, poppler-utils]
```
System packages that must be installed for the program to work. Displayed
in `castle list --behavior tool` and the dashboard.
### `version` — Program version
```yaml
version: "1.0.0"
```
Optional version metadata.
### `build` — How to build it
```yaml
build:
commands:
- ["pnpm", "build"]
outputs:
- dist/
```
Programs with build outputs are typically frontends.
## Service blocks
Services define **how long-running daemons are deployed**.
### `run` — How to start it (required)
Discriminated union on `runner`:
| Runner | Sync | Deploy | Key fields |
|--------|------|--------|------------|
| `python` | `uv sync` | `which(program)` → installed binary | `program`, `args` |
| `command` | *(none)* | `which(argv[0])` → resolved path | `argv` |
| `container` | *(none)* | `docker`/`podman` `run` | `image`, `command`, `ports`, `volumes` |
| `node` | `package_manager install` | `package_manager run script` | `script`, `package_manager` |
| `remote` | *(none)* | *(none — no local process)* | `base_url`, `health_url` |
```yaml
run:
runner: python
program: my-service # name in [project.scripts]
```
### `expose` — What it exposes
```yaml
expose:
http:
internal:
port: 9001 # Required for HTTP services
health_path: /health # Used by health polling
```
### `proxy` — How to proxy it
```yaml
proxy:
caddy:
path_prefix: /my-service # Proxied at gateway:9000/my-service/
```
Castle generates a Caddyfile from these entries. Only needed for services
accessible through the gateway.
### `manage` — How to manage it
```yaml
manage:
systemd: {}
```
Enables `castle service enable/disable` and `castle logs`. An empty `{}`
uses defaults (enable=true, restart=on-failure, restart_sec=2).
Full options:
```yaml
manage:
systemd:
description: Custom unit description
restart: always # on-failure | always | no
restart_sec: 2
no_new_privileges: true
after: [network.target, castle-other.service]
wanted_by: [default.target]
exec_reload: "caddy reload ..."
```
### `defaults` — Default environment
```yaml
defaults:
env:
CENTRAL_CONTEXT_URL: http://localhost:9001
API_KEY: ${secret:MY_API_KEY}
```
Castle resolves `${secret:NAME}` by reading `~/.castle/secrets/NAME`.
Never store secrets in castle.yaml or project directories.
## Job blocks
Jobs define **how scheduled tasks run**. Same blocks as services plus
`schedule` and `timezone`.
### `schedule` — Cron expression (required)
```yaml
schedule: "*/5 * * * *"
timezone: America/Los_Angeles # default
```
Castle generates a systemd `.timer` file alongside the `.service` unit.
### Other blocks
Jobs also support `run` (required), `manage`, and `defaults` — same
semantics as services.
## How programs get into `~/.castle/code/`
Every program's source lives in one place — `~/.castle/code/<name>/`. It can
arrive there a few ways:
1. **Scaffold a new one** with `castle create` — writes the project into
`~/.castle/code/<name>/` and registers it in `castle.yaml` with
`source: code/<name>`.
2. **Clone an existing project**`git clone <url> ~/.castle/code/<name>`,
then add a `programs:` entry pointing at `source: code/<name>`.
3. **Drop files in directly** — a `code/<name>/` directory is just a working
tree; it doesn't have to be under version control to be registered and run.
`~/.castle/` and `~/.castle/code/` are **not** themselves git repos, and there
are no submodules. Each program directory manages its own version control (or
none) independently — some are standalone git clones, others are just loose
files.
Castle's own programs (CLI, core, castle-api, app) are the exception: they live
inside the castle git repo and are referenced with `source: repo:<name>`.
## Registering a new program
### Via `castle create` (recommended)
```bash
# Service — scaffolds into ~/.castle/code/, assigns port, registers in castle.yaml
castle create my-service --stack python-fastapi --description "Does something"
# Tool — scaffolds into ~/.castle/code/
castle create my-tool --stack python-cli --description "Does something"
```
### Manually
Clone or create the project under `~/.castle/code/`, then add entries to the
appropriate sections of `castle.yaml`:
```yaml
# Tool — only needs a program entry
programs:
my-tool:
description: Does something useful
source: code/my-tool
stack: python-cli
behavior: tool
# Service — needs both program and service entries
programs:
my-service:
description: Does something useful
source: code/my-service
stack: python-fastapi
behavior: daemon
services:
my-service:
component: my-service
run:
runner: python
program: my-service
expose:
http:
internal: { port: 9001 }
health_path: /health
proxy:
caddy: { path_prefix: /my-service }
manage:
systemd: {}
```
## Lifecycle
### Service lifecycle
```bash
castle create my-service --stack python-fastapi # 1. Scaffold + register
cd ~/.castle/code/my-service && uv sync # 2. Install deps
# ... implement ...
castle test my-service # 3. Run tests
castle service enable my-service # 4. Generate systemd unit, start
castle gateway reload # 5. Update Caddy routes
```
After `service enable`, the service starts automatically on boot and restarts
on failure. Manage with:
```bash
castle logs my-service -f # Tail logs
castle run my-service # Run in foreground (for debugging)
castle service disable my-service # Stop and remove systemd unit
```
### Tool lifecycle
```bash
castle create my-tool --stack python-cli # 1. Scaffold + register
cd ~/.castle/code/my-tool && uv sync # 2. Install deps
# ... implement ...
castle test my-tool # 3. Run tests
uv tool install --editable ~/.castle/code/my-tool/ # 4. Install to PATH
```
### Job lifecycle
Jobs are defined in the `jobs:` section with a `run` spec and `schedule`:
```yaml
jobs:
my-job:
description: Runs nightly
run:
runner: command
argv: ["my-job"]
schedule: "0 2 * * *"
manage:
systemd: {}
```
`castle service enable my-job` generates both a `.service` (Type=oneshot)
and a `.timer` file.
## Infrastructure paths
Castle uses **two** independent roots, each overridable by an environment
variable (both expand `~` and resolve relative paths):
- **`CASTLE_HOME`** — config, code, artifacts, and secrets. Default `~/.castle`.
- **`CASTLE_DATA_DIR`** — program/service data I/O (potentially large; lives on a
dedicated volume). Default `/data/castle`. Decoupled from `CASTLE_HOME` on
purpose so bulk data doesn't sit in the home directory.
| What | Where |
|------|-------|
| Castle home | `$CASTLE_HOME` (default `~/.castle`) |
| Registry | `$CASTLE_HOME/castle.yaml` |
| Program source (yours) | `$CASTLE_HOME/code/<name>/` |
| Program source (castle's) | `<repo>/<name>` (via `source: repo:<name>`) |
| Secrets | `$CASTLE_HOME/secrets/<NAME>` |
| Generated Caddyfile | `$CASTLE_HOME/artifacts/specs/Caddyfile` |
| Built frontends | `$CASTLE_HOME/artifacts/content/<name>/` |
| **Service data** | **`$CASTLE_DATA_DIR/<name>/` (default `/data/castle/<name>/`)** |
| Systemd units | `~/.config/systemd/user/castle-*.service` |
| Systemd timers | `~/.config/systemd/user/castle-*.timer` |
Defined in `core/src/castle_core/config.py`: `CASTLE_HOME` (with derived
`CODE_DIR`, `SECRETS_DIR`, `SPECS_DIR`, `CONTENT_DIR`) and the independent
`DATA_DIR` (`CASTLE_DATA_DIR`). `castle deploy` passes each service its data
path via the generated `<PREFIX>_DATA_DIR` env var. Systemd unit/timer paths are
fixed by systemd's user-unit convention.
## Manifest models
The Pydantic models live in `core/src/castle_core/manifest.py`. Key classes:
- `ProgramSpec` — software catalog entry (source, behavior, stack, build, system_dependencies)
- `ServiceSpec` — long-running daemon (run, expose, proxy, manage, defaults)
- `JobSpec` — scheduled task (run, schedule, manage, defaults)
- `RunSpec` — discriminated union (RunPython, RunCommand, RunContainer, RunNode, RunRemote)
- `ExposeSpec`, `ProxySpec`, `ManageSpec`, `BuildSpec`
- `CaddySpec`, `SystemdSpec`, `HttpExposeSpec`, `HttpInternal`
Config loading: `core/src/castle_core/config.py``load_config()` parses
castle.yaml into `CastleConfig` with typed `programs`, `services`, and
`jobs` dicts.
Infrastructure generators: `core/src/castle_core/generators/` — systemd unit/timer
generation (`systemd.py`) and Caddyfile generation (`caddyfile.py`).