The gateway does two things — reverse-proxy services and serve static
frontends — but the dashboard/API route table only ever showed the proxy
routes, so 'serving a frontend' and 'proxying a service' looked like unrelated
features and castle-app/power-graph-app were invisible in the route view.
Now there's one concept: a route maps an address (path '/foo' or host 'foo.lan')
to a target of one kind — static (a built dist served by file_server), proxy
(a local service port), or remote (a service on another node).
- core: caddyfile.py gains compute_routes() — the single source of truth for
the route list; generate_caddyfile_from_registry renders it (output byte-for-
byte identical, verified against the live Caddyfile). Adds a GatewayRoute
dataclass.
- api: GatewayRoute model → {address, kind, target, name, node}; GET /gateway
builds from compute_routes (incl. config for static frontends + mesh for
remote), so the table matches what Caddy actually does.
- app: Gateway panel shows Address · Kind · Target for every route (static
frontends + host routes now appear); program detail shows 'Reachable at
/foo/ · served (static)' for static frontends.
- cli: 'castle gateway status' prints the full route table.
- docs: registry.md/design.md/CLAUDE.md describe routes as one concept with
three target kinds.
core 94 / cli 24 / api 52 green; ruff + app build clean; Caddyfile unchanged.
A service/job's env is now exactly its defaults.env — castle injects no hidden
convention vars. Values support ${port}/${data_dir}/${name} placeholders
(resolved at deploy, alongside ${secret:…}), so a program's own env var names
map to castle's computed values without hardcoding.
Why: the auto-injected <PREFIX>_PORT/<PREFIX>_DATA_DIR were a guess at the
program's env names — right for castle-scaffolded services, dead weight for
adopted ones (lakehouse carried two dead vars; notification-bridge/backup jobs
too). They also weren't visible in the config editor (computed at deploy), which
was the source of the 'four env vars but the UI shows none' mystery.
- core: resolve_env_vars gains a context (${port}/${data_dir}/${name});
deploy builds env from defaults.env only — no <PREFIX>_* injection, no
port_env. Removed the port_env field and the dead _env_prefix helper.
- cli: 'service/job create' gains repeatable --env KEY=VALUE (replaces
--port-env); 'program create' scaffolds <PREFIX>_PORT/_DATA_DIR: ${…} for new
daemons.
- app: removed the 'Port env' field; the Environment editor (defaults.env) is
the single place, with a placeholder hint.
- live migration: central-context/castle-api/power-graph/protonmail mapped their
real vars explicitly; lakehouse → just LAKEHOUSED_DAEMON_PORT: ${port}, data
stays in ~/.lakehoused. Verified all services healthy on their ports, dead
vars gone, zero failed units.
- docs: registry.md/design.md/stack guides + findings updated to the explicit
model.
core 94 / cli 24 / api 52 green; ruff + app build clean.
Sweep of accumulated drift unrelated to the CLI reorg:
- Source paths: ~/.castle/code/<name> → /data/repos/<name> (REPOS_DIR), and
source: code/X → absolute /data/repos/X. registry.md source-resolution table
and 'how programs get in' section rewritten for the /data/repos layout.
- Old field name component: → program: in all YAML examples.
- Old term 'component' → 'program' throughout design.md and the stack guides.
- Frontend serving: corrected the copy-to-artifacts/content model to serve-in-
place from the repo (<source>/<dist>), matching Phase 2b; dropped the dead
_copy_app_static reference and the 'runtime never references the source tree'
claim (frontends are the deliberate exception).
- Stale endpoints/commands: /components → /deployments; castle create/add →
castle program create/add in the create.py/add.py docstrings.
CLAUDE.md was already current. cli 24 green; ruff clean.
- Updated the terminology from "components" to "programs" across the codebase, including in config loading, saving, and manifest specifications.
- Introduced a new `stacks.py` file to handle lifecycle actions for development stacks, implementing handlers for Python and React Vite stacks.
- Adjusted tests to reflect the new program structure and ensure proper functionality.
- Revised documentation to align with the new terminology and structure, ensuring clarity on the purpose and configuration of programs, services, and jobs.
