scheduler/CLAUDE.md

CLAUDE.md — scheduler

"The Scheduler" — system-wide maintenance orchestration for tower-of-joy: config backups, doc mirroring to Gitea, cleanup and retention, and arbitrary REST calls on a cron. Python 3.12 / FastAPI, APScheduler, PostgreSQL and Redis. Container scheduler on docker-dataplane, port 8090, Redis DB 3, Postgres DB scheduler.

It is the homelab's cron. Recurring work belongs here rather than in a systemd timer (workspace D-5).

Live contract

http://localhost:8090/openapi.json — 10 paths, version: 1.8.0 (verified 2026-08-11). Human docs at /docs. Generated from running code, so read it instead of inferring routes.

Every route except /health requires Authorization: Bearer $SCHEDULER_API_KEY. An unauthenticated call returns {"detail": "Missing API key"} at 200-shape JSON, not a 401 body you might pattern-match on.

Note the old AGENTS.md told you to verify deploys against 192.168.86.149:8000/health. That is tatlock's port, not this service's. It is 8090.

The thing that will mislead you: executors are chosen by data, not code

src/executors/*.py are never statically imported. src/tasks/executor.py:202 does:

module_path = f"src.executors.{executor_name}"
module = __import__(module_path, fromlist=['execute'])

where executor_name comes from a row in the scheduled_tasks table. Consequences, and they defeat both of the usual checks:

• grep finds nothing. No file imports config_backup_executor; the name only ever exists as a database string.
• sys.modules finds nothing either. A cold import src.main loads only src, src.config, src.main, src.models, src.tasks, src.tasks.executor. Every executor is absent until a task actually fires. Absence there is a timing artifact, not evidence of death.

The authoritative source is the database. As of 2026-08-09:

Executor	Rows	Enabled
rest_api_executor	16	yes
doc_sync_executor	2	yes
config_backup_executor, docker_prune_executor, gitea_release_cleanup_executor, portainer_backup_executor, postgres_retention_executor	1 each	yes
example_executor	1	no
gcs_backup_executor	0	—

gcs_backup_executor has no rows at all. That does not make it dead code: it becomes live the instant someone inserts a row naming it, with no code change and no deploy. Treat unreferenced executors as dormant, not removable. An executor's contract is a module-level execute(config, settings) — a missing one is caught at run time and reported as Executor <name> missing execute() function, not at import or startup.

Re-check with the query rather than trusting the table above:

docker exec scheduler python3 -c "
import psycopg2
from src.config import get_settings
s = get_settings()
c = psycopg2.connect(host=s.postgres_host, port=s.postgres_port, dbname=s.postgres_db,
                     user=s.postgres_user, password=s.postgres_password)
cur = c.cursor()
cur.execute('SELECT executor, count(*), bool_or(enabled) FROM scheduled_tasks GROUP BY executor ORDER BY 1')
[print(r) for r in cur.fetchall()]"

Build the connection from get_settings() fields as above. Do not print the assembled URL — it carries the Postgres password.

Database

Three tables, and the names do not match the API paths: scheduled_tasks (not tasks — SELECT … FROM tasks fails with UndefinedTable), task_executions, doc_sources. Schema is SQLAlchemy (src/models.py); there is no Alembic here, unlike core-api.

Layout, and one trap in it

src/main.py (app + routes), src/config.py (pydantic-settings), src/models.py, src/tasks/executor.py (the scheduling engine), src/executors/ (the dynamically-loaded units).

src/config/ also exists and is an empty directory. import src.config resolves to src/config.py — verified in the container, __file__ is /app/src/config.py, because a regular module wins over a namespace package. Do not "fix" this by moving config into the directory, and do not assume the directory is a package with contents.

Registering tasks

Tasks are DB-driven, registered over the API — not YAML, not a file in this repo. See TASK_REGISTRATION.md for the payload shape and the cron-field conventions (hour: -1 means every hour). There is also a workspace-level scheduler skill for driving it conversationally.

Working here

Group new work by domain rather than by file type; a single large routers/ folder is the thing to avoid. Reference: FastAPI best practices.

.venv/bin/python -m pytest tests/          # or: pytest tests/

Test dependencies are the test extra in pyproject.toml (pytest, pytest-asyncio, pytest-cov, freezegun). pytest.ini is at the repo root. No linter is configured — no ruff/flake8 config and neither in the dependencies — so do not assume ruff check exists here.

CI

.gitea/workflows/build.yml is the only workflow and triggers only on v* tag push: build, push image, ping Watchtower. There is no CI test or lint gate. Run the tests yourself before tagging.

Work tracking

Work lives in pql, not a markdown TODO. This repo's vault is standalone — its tickets and its internal decisions live here in .pql/ and governance/, and travel with a clone, because .pql/changelog/ is committed and replayed by the git hooks (workspace D-15). The databases are gitignored and rebuildable with pql plan rebuild.

pql is not on the non-interactive PATH — invoke it as /home/jpmschweitzer/.local/bin/pql. From inside this repo no --vault is needed: pql anchors at the nearest .git/ ancestor, which is this repo.

/home/jpmschweitzer/.local/bin/pql ticket list          # this repo's open work
/home/jpmschweitzer/.local/bin/pql plan whatsnext       # next unblocked item, with context
/home/jpmschweitzer/.local/bin/pql decisions list       # this repo's own decisions

Stack-level decisions that constrain this service — the host, the network, deploy mechanics, and the fact that recurring work belongs here at all (workspace D-5) — live in the workspace vault and need the flag:

/home/jpmschweitzer/.local/bin/pql --vault /mnt/media/Projects decisions list --domain scheduler

Note ticket new --decision D-N resolves ids within one vault, so a ticket here cannot link to a workspace decision. Cite the id in the ticket body instead.

Git

• History is linear — no merge commits. Work on main, or a short-lived branch that is fast-forwarded and deleted. The previous AGENTS.md mandated a feature branch per change; that rule was retired workspace-wide on 2026-08-08.
• Conventional Commits: feat:, fix:, refactor:, docs:, chore:.
• Stage explicitly. Never git add -A — it is denied by policy, and it sweeps in whatever else is dirty, including secrets.
• Update CHANGELOG.md for every user-facing change, under [Unreleased].

Releasing

Ask whether a deploy is wanted first — it is not automatic.

1. Bump version in pyproject.toml (patch for fixes, minor for features).
2. Move [Unreleased] entries into a dated section in CHANGELOG.md.
3. Stage the changed files by name, commit, tag vX.Y.Z, git push origin main --tags.
4. Gitea CI builds and pushes on the tag; Watchtower deploys it.
5. Verify: curl http://192.168.86.149:8090/health.