lognition 0.0.4

Log everything in style.

Lognition's CustomLogger

CustomLogger is a flexible and customizable logging utility for Python applications. This library extends the standard logging module to include additional features such as automatic message formatting, endpoint filtering, progress spinners, and timers.

Experimental

This package is currently under development and is only experimental. Features are likely to change in the upcoming updates.

Features

• Extended Logging Levels: Supports additional levels like SPAM, VERBOSE, NOTICE, and SUCCESS.
• Endpoint Filtering: Customizable filter to ignore logs containing specified endpoints.
• Flexible JSON Serialization: Automatically serializes complex objects to JSON in log messages.
• Progress Spinner: Context manager for displaying a progress spinner with customizable messages and optional timers.
• Execution Timer: Context manager for timing code blocks with automatic logging of elapsed time.

Installation

You can install lognition using pip:

pip install lognition

Usage

Basic Setup

from lognition import CustomLogger

# Initialize the logger
logger = CustomLogger()

Logging Messages

# Log a simple message
logger.info("This is an informational message.")

# Log a JSON serializable object
logger.debug({"key": "value", "list": [1, 2, 3]})

Filtering Endpoints

The EndpointFilter can be used to ignore logs containing specific endpoints or texts:

# Initialize the logger with endpoint filtering
logger = CustomLogger(ignore=["/health", "Press CTRL+C to quit"])

CustomLogger().spinner()

Use the spinner context manager to display a progress spinner with a message:

with logger.spinner("Processing 4 steps...") as spinner:
    time.sleep(2)
    spinner.log("Finished step 1.")

    time.sleep(2)
    spinner.log("Finished step 2.")
    spinner.change("Halfway done.")

    time.sleep(2)
    spinner.log("Finished step 3.")

    time.sleep(2)
    spinner.log("Finished step 4.")

    spinner.change("Processing complete!")

Finished step 1. (2.00s)
Finished step 2. (4.00s)
Finished step 3. (6.00s)
Finished step 4. (8.00s)
✅ Processing complete! (8.00s)

You can manually .fail() the spinner:

def add(a, b):
    return a + b

with logger.spinner("Doing heavy math...") as spinner:
    time.sleep(1)
    total = add(2, 2)
    if total != 3:
        spinner.fail(f"The function gave the wrong answer. Expected 3, got {total}")

💥 The function gave the wrong answer. Expected 3, got 4 (1.00s)

You can also manually run .success() to stop the spinner:

def add(a, b):
    return a + b

with logger.spinner("Doing heavy math...") as spinner:
    time.sleep(1)
    total = add(2, 2)
    if total == 3:
        spinner.success(f"Breakthrough in math achieved!")
        # The spinner will stop running below this point
    time.sleep(10)
    spinner.fail("Math is hard :(") # This has no effect

✅ Breakthrough in math achieved! (1.00s)

You can use .revert() to change message back to original:

with logger.spinner("Processing...") as spinner:
    time.sleep(2)
    spinner.change("Halfway done.")
    time.sleep(2)
    spinner.revert()

✅ Processing... (4.00s)

Using .get_time():

with logger.spinner(f"Encrypting {original_path}") as spinner:
    output_folder = "D:/Encrypted"
    encrypt_file(path, output_folder, "SECRET_PASSWORD", settings)
    time_taken = spinner.get_time()
    spinner.change(f"Encryption complete for {original_path}")
    mark_as_complete(name, time_taken)

You can also set the frequency of how fast the timer is updated (default is 0.1):

with logger.spinner("Processing...", frequency=0.5) as spinner:
    time.sleep(5)

CustomLogger().timer()

Use the timer context manager to measure and log the time taken for a code block:

with logger.timer("Executing task"):
    time.sleep(3)

Executing task: 3.0026s

The timer().get_time() behaves the same as spinner().timer(). It's only added to timer in case we want to store the elapsed time:

with logger.timer(f"Encrypting files") as timer:
    path = find_file()
    time_taken = timer.get_time()
    print(f"Time taken to find file: {time_taken}s")
    encrypt_file(path, output_folder, "SECRET_PASSWORD")
    time_taken = timer.get_time()
    print(f"Time taken to find file and encrypt it: {time_taken}s")
    mark_as_complete(path, time_taken)

Time taken to find file: 1.2001s
Time taken to find file and encrypt it: 2.6014s
Encrypting files: 2.6066s

License

This project is licensed under the MIT License.

Acknowledgements

This library uses the following third-party libraries:

• coloredlogs
• verboselogs
• yaspin

Contact

For any questions or suggestions, please open an issue on GitHub.