@Marvin How can I add a custom filter into Prefect's logging?

To add a custom filter to Prefect's logging, you can modify the logging configuration by providing your own

logging.yml

file. This allows you to specify custom logging settings, including filters. Here's a brief guide on how to do it: 1. Create a

logging.yml

file: This file should define your logging configuration, including any custom filters you want to apply. You can refer to the Python Logging configuration documentation for syntax and options. 2. Place the

logging.yml

file: You can either place this file in your

PREFECT_HOME

directory (default is

~/.prefect

) or specify a custom path using the

PREFECT_LOGGING_SETTINGS_PATH

environment variable. 3. Configure the custom filter: In your

logging.yml

, define your custom filter under the

filters

section and apply it to the desired handlers or loggers. For more details on how to configure logging in Prefect, you can refer to the Prefect Logging Documentation. If you need further guidance on the structure of the

logging.yml

file or the specifics of defining a custom filter, you may want to explore the Python logging module's documentation.

@Marvin I want to define my filter using a class in my own module. How can I do that?

To define a custom logging filter using a class from your own module in Prefect, you'll need to follow these steps: 1. Create Your Custom Filter Class: Define a class that inherits from

logging.Filter

in your Python module. Implement the

filter

method to define your filtering logic.

python
    import logging

    class MyCustomFilter(logging.Filter):
        def filter(self, record):
            # Your custom filter logic here
            return True  # Return True to log the record, False to filter it out

2. Reference Your Filter in

logging.yml

: In your

logging.yml

, you need to specify your custom filter class. Use the full import path to your filter class.

yaml
    version: 1
    filters:
      my_custom_filter:
        (): path.to.your.module.MyCustomFilter

    handlers:
      console:
        class: logging.StreamHandler
        level: DEBUG
        filters: [my_custom_filter]
        formatter: simple

    formatters:
      simple:
        format: '%(asctime)s - %(name)s - %(levelname)s - %(message)s'

    root:
      level: DEBUG
      handlers: [console]

3. Configure Prefect to Use Your Logging Configuration: Place your

logging.yml

in the

PREFECT_HOME

directory or set the

PREFECT_LOGGING_SETTINGS_PATH

environment variable to point to your

logging.yml

file. This setup will ensure that your custom filter is applied to the logging in Prefect. If you'd like more detailed information, you can refer to the Python Logging Configuration Documentation.