Lightweight error notifier for hobby Python projects
Project description
ml3error
A tiny error notifier for hobby Python projects. When your program crashes, it sends you a message on Telegram, Slack, or email — and won't buzz your phone again for the same error until tomorrow.
Built for personal bots, home-server scripts, and small apps where pulling in Sentry is overkill. Single runtime dependency (notifiers), SQLite for state (Redis optional), no external services beyond your chosen transport.
Install
uv add ml3error
Use it
Recommended: keep credentials out of code. Drop a .env next to your script:
ML3ERROR_TRANSPORT=telegram
ML3ERROR_TRANSPORT_TOKEN=1234567890:ABCdef-your-bot-token
ML3ERROR_TRANSPORT_CHAT_ID=123456789
Then in your code:
import ml3error
ml3error.init()
That's it. .env is loaded automatically (via python-dotenv). Shell-exported vars still take precedence, so uv run --env-file .env python your_script.py also works. See .env.example for the full set of recognized names.
From now on, any uncaught exception gets scrubbed for PII, fingerprinted, and sent to you. Repeated errors with the same fingerprint are grouped and suppressed for 24h by default. A once-a-day heartbeat tells you everything is still running.
You can also report caught exceptions manually:
try:
risky_thing()
except Exception as e:
ml3error.report(e)
Programmatic config (alternative)
If you'd rather not use env vars, every option takes an init() kwarg:
ml3error.init(
transport="telegram",
transport_config={"token": "...", "chat_id": "..."},
cooldown_hours=12,
)
Kwargs win over env vars when both are set.
Verify once
Call ml3error.ping() after init() the first time to confirm your credentials work — it sends a synthetic message and raises if the transport refuses.
Review UI
ml3error ships with a minimal web UI to review the errors you've been notified about and mark them resolved:
uv run ml3error
Opens http://127.0.0.1:6025 in your browser. State comes from .env / env vars, or pass --state sqlite:///path.db explicitly.
Preview the daily digest
The library sends a once-a-day heartbeat listing your most active errors, their counts, and how recently they fired. To see what that looks like on demand (e.g., after wiring up a new transport):
uv run ml3error heartbeat
Sends the same message the scheduled thread would send, using your configured transport. This is a pure preview — it does not advance last_heartbeat or reset counters, so the scheduled daily firing still happens normally.
What it doesn't do
- No structured context, breadcrumbs, or sampling — use Sentry if you want those.
- No framework auto-instrumentation.
- No retries on transport failures (one attempt, counted in the next heartbeat).
More
Full design and behavior details live in SPEC.md. Runnable end-to-end examples are in examples/.
Project details
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