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-0.1.2.tar.gz (32.0 kB view details)

Uploaded Source

Built Distribution

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

ml3error-0.1.2-py3-none-any.whl (40.5 kB view details)

Uploaded Python 3

File details

Details for the file ml3error-0.1.2.tar.gz.

File metadata

  • Download URL: ml3error-0.1.2.tar.gz
  • Upload date:
  • Size: 32.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.20

File hashes

Hashes for ml3error-0.1.2.tar.gz
Algorithm Hash digest
SHA256 376914c40dc547667ab91893b0a8d8aa416c5a6be994053ba49b30444a3d1549
MD5 d27c9f7ecb1a6cef6dd0fcb70a980f91
BLAKE2b-256 a51d099b885a357ae2d5945c007a3a78c351300e5e77673524a26edd404c0fdf

See more details on using hashes here.

File details

Details for the file ml3error-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: ml3error-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 40.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.20

File hashes

Hashes for ml3error-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 91801dd5a934c26356b0c9aae22bd175b03932114471aa9cee2fa5675f3c9f32
MD5 bac34a2d409d78cf5edadc2ce4365a6a
BLAKE2b-256 fd2c5c249b7616d1b392ddb21b7c93abcb4b7f07c54d6ffb53493c1e9c2c02ba

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