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Healthcheck-bot

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A simple Python script to verify if a service is up. Whenever the service falls, a message will be sent to a user/group/channel with Telegram

How to use?

Make a copy of the file config/settings.yaml.dist in the same directory and rename it to settings.yaml:

  • Set bot_token, your bot token
  • Set chat_ids, the ID(s) the bot will use to communicate any downtime. It's possible to set multiple IDs, semicolon separated without any space
  • Set the urls you'd like to check in urls.json

Telegram bots

This is bot is now able to contact other bots and check if their running correctly! In order to setup this module, obtain an api_id and api_hash following the Telegram guide, now add them your settings.yaml. The last step is to add the bot(s) to check in the same settings file, completing the value for each key:

  • Set username, the bot to be checked username without the prepending '@'
  • Set command, the command that will be sent to your bot
  • Set expected_response, the expected response from your bot or a substring. Any special character should be replaced with their equivalent character (a new line should be replaced with \n) Multiple bots could be added by added just by repeating the same structure of a sequence of objects in yaml.

Example

bot_token: "123456:ABC-DEF1234ghIkl-zyx57W2v1u123ew11" # Your bot token
chat_ids: ["10000000", "10000001", "10000002"]  # Single ID or Multiple IDs
api_id: 123456
api_hash: "123456:ABC-DEF1234ghIkl-zyx57W2v"
bots_to_check:
  - username: "WebpageBot"
    command: "/start"
    expected_response: "Hello, I'm the Webpage Bot!"

Run it every 5 minutes using crontab

  • Open crontab using:
$ crontab -e
  • Add the following line
*/5 * * * * cd /path/to/Healthcheck-bot/ && python3 src/main.py > checks.log 2> errors.log    

Write Unit Tests

In order to write Unit Tests, you have to put it inside tests. There are many possibilities,

Unit Tests without mocking

To add a new unit test without mocking, there are some examples at the beginning of tests, but let's inspect how they're implemented:

  • func: simply the function to mock
  • expected_res: the expected returned value of the function to test
  • arg: a tuple that contains the argument(s) of the function to test (the one previously defined in func). In case there are no passing arguments, just add an empty tuple object (tuple())
  • is_async: this is not a compulsory key, should be added and set to True only if the function is asynchronous

Unit Tests with mocking

If is necessary one or more mock(s), it's possible to append three more keys to the unit test. In case an async function needs to be mocked, its result can be wrapped in an AsyncMock and its return value set as a constructor element in the constructor. The test should have the same keys with three more keys:

  • mock_obj: it's a list of the objects in which there are the functions to mock. In our examples they often refer to the main object (the one imported from src.main)
  • mock_func: an array of strings, it indicates the functions to mock
  • mock_ret: a list of the returned values

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A simple Python script to verify if a service is up

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