🚥 Fast website monitoring backend service

Features

🍀 Feature-rich

• Each check tracks:
  • timestamp
  • response time
  • HTTP response status code
  • optionally, given regex is (safely) tested if it matches the response body or not
  • info about possible connection errors, like timeouts and/or unreachable host
• Websites to check & their results are stored in postgres by default 🐘 (the library is ready for other data stores / sockets).
  • You can use postgres locally installed, running on docker, or with a DBaaS, e.g. Aiven.
• Monitor stored websites once, at configurable-scheduled intervals (each website check can use an independent interval or use a default), or even with your system's cron.
• The scheduling keeps running even if the computer goes to sleep.
• Nice, configurable logging.
• CLI API & Python's (Python >= 3.11).
  • A webserver is planned.
• ...and more!

🚀 Speed

• All operations are asynchronous. This app sits on 3 giants:
  • aiohttp
  • psycopg (v3)
  • APScheduler (v4)
• Written in Python 3.11 for maximum speed 🐍
• Speedy regex checking thanks to google-re2 regex. Note that google-re2 syntax is very similar to python's native re but not equal. In particular, backreferences are not supported, to gain on speed and safety.
• No ORM libraries. Just good old (safely-escaped) SQL queries.

🧘 Safety

• Binary or too big responses will not be read.
• Safe regex thanks to google-re2 regex.
• Safe escaping of SQL queries with psycopg.
• Security static analysis with bandit, snyk, and GitHub CodeQL.
• Code is fully type-annotated and type-checked with mypy.
• Further type checking with Pydantic (v2).
• Further static analysis with pyflakes.

Install

Via pip

# You need to run this with a Python 3.11 environment -- You can manage different python versions for instance with `pyenv`
pip install -U fastchecks

or via source

You need to have python poetry installed. Then:

# clone this repository
_reponame="fastchecks";
_branch="main";
git clone -b "${_branch}" "https://github.com/juanmirocks/${_reponame}";
cd ${_reponame}

# Install project
poetry install
# Enter into the project's shell environment for simplicity with the running commands
poetry shell

Run

0. Create a postgres DB and take note of its postgres URL conninfo. NOTE: this app was tested with Postgres v15 only; some older versions should work too.

   • For instance, if you have a local postgres installation:

   _dbname="fastchecks";
   createdb "${_dbname}"
   
   # Its postgres URL (assuming default user) will be:
   # postgres://localhost/fastchecks
   
   # Then you need to pass the conninfo to the CLI,
   # * either with the explicit optional parameter `--pg_conninfo`, or
   # * by setting the envar: `FC_POSTGRES_CONNINFO`
   # For simplicity, commands below assume you've set `FC_POSTGRES_CONNINFO`, e.g.:
   export FC_POSTGRES_CONNINFO='postgres://localhost/fastchecks'
   

1. Add some website URLs to later check for:

   fastchecks upsert_check 'https://example.org'  # Add a simple URL check
   fastchecks upsert_check 'https://example.org' --regex 'Example D[a-z]+'  # Update the URL check to match the response body with a regex
   fastchecks upsert_check 'https://python.org' --interval 5  # Add another URL check with a specific interval (in seconds)
   

2. Run the checks at the scheduled intervals in the foreground until stopped.

   fastchecks check_all_loop_fg  # checks without interval will run with a default (configurable; see command help)
   

3. That's it! You might want to explore further options:

   • For all possibilities, run: fastchecks -h
   • For instance, might you want to run all checks only once (e.g. to schedule with cron), run: fastchecks check_all_once
   • Or run a single website check once (without registering it): fastchecks check_website 'https://www.postgresql.org/'

Copyright / License

Copyright 2023 Dr. Juan Miguel Cejuela

SPDX-License-Identifier: Apache-2.0

See files: LICENSE & NOTICE.