Skip to main content

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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ml3error-0.1.1.tar.gz (31.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ml3error-0.1.1-py3-none-any.whl (40.0 kB view details)

Uploaded Python 3

File details

Details for the file ml3error-0.1.1.tar.gz.

File metadata

  • Download URL: ml3error-0.1.1.tar.gz
  • Upload date:
  • Size: 31.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.20

File hashes

Hashes for ml3error-0.1.1.tar.gz
Algorithm Hash digest
SHA256 f21e829fa54a687674967100f76bfbdaed39383967e1ccf2866c9df41b84972b
MD5 f32fb1587827022fc000b7ae62b0655a
BLAKE2b-256 9b7175820b7a298e2bc92c80d115791e181a5173ed76ab5804c38a874d62e5a2

See more details on using hashes here.

File details

Details for the file ml3error-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: ml3error-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 40.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.20

File hashes

Hashes for ml3error-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 03d88817b39bd4741b848b057096d19aa41ab4fb956468fa81a1e0d6b0737c55
MD5 b15c82467e5235d31d05f788e6b4e22e
BLAKE2b-256 4be57c322d4a60351a08c8c258080ec3fe6fb3ca6a446f82a2ad683cdba79906

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page