Metadata-Version: 2.1
Name: custom-logger-cloudcity
Version: 0.0.3
Summary: UNKNOWN
Home-page: https://gitlab.com/dqna/custom-logger-cloudcity
License: UNKNOWN
Platform: UNKNOWN
Requires-Python: >=3.8
Description-Content-Type: text/markdown

# Custom Logger CloudCity

To unify the way we log and alert to Google Cloud Logger and Sentry, we have created this package.

## Example

How to use:

1. Include the package in your project by doing `pip install custom-logger-cloudcity`
2. Simply import the module!

Below is an examlpe how to use

```python

import os

os.environ.update({"GOOGLE_APPLICATION_CREDENTIALS": "/Users/sebas/dev/custom-logger/service_account.json"})
os.environ.update({"CLOUD_LOGGER_NAME": "nice_test_logger"})
os.environ.update({"ENV": ""})
# We need to set the environment vars before importing the custom_logger
# You can do so as this example or just set it in the machine wide environment
import custom_logger

if __name__ == '__main__':
    # A message as a string will end up in as a textPayload in Google Cloud Logging
    # custom_logger.info("This is a test log in a textPayload")
    custom_logger.error("not ok")
    # A message as an argument will end up in as a jsonPayload in Google Cloud Logging
    custom_logger.info(some_message="This is a test log in a jsonPayload")
    # An example with multiple arguments
    custom_logger.info(
        some_message="This is a test log in a jsonPayload",
        more_info="It has more info",
        and_even_more="These can all be metrics and stuff",
        but="We need to make sure that we catch the logging exceptions and print the whole lot",
    )
    # You can even nest data, as this is stored as a struct in Google Cloud Logging
    custom_logger.info(amount_transfered=10, amount_failed=10, errors=["a", "b", "c"])
```

