Introduction to Neuron Logger

Neuron Logger is a robust and advanced logging library designed to streamline your application’s logging processes. It comes with numerous APIs that make it highly versatile and easy to integrate into your existing projects.

Basic Logging Example

This is a simple example of how to get started with Neuron Logger:

  import neuron_logger as nl

  logger = nl.get_logger("my_app")
  logger.info("This is an info message")

Advanced Logging Features

Logging with Different Levels

Neuron Logger allows you to log messages at various levels:

  logger.debug("This is a debug message")
  logger.info("This is an info message")
  logger.warning("This is a warning message")
  logger.error("This is an error message")
  logger.critical("This is a critical message")

Formatted Logging

You can use formatted strings in your log messages:

  user = "John Doe"
  logger.info(f"User {user} has logged in")

Logging Exceptions

You can capture exceptions and log them:

  try:
      1 / 0
  except ZeroDivisionError as e:
      logger.exception("An error occurred: {e}")

File Logging

Neuron Logger supports logging to files:

  logger = nl.get_logger("file_logger", to_file=True, file_path="app.log")
  logger.info("This message will be logged to a file")

JSON Logging

Log your messages in JSON format for better integration with log analysis tools:

  logger = nl.get_logger("json_logger", formatter="json")
  logger.info("User login", extra={"user_id": 123, "status": "successful"})

App Example Using Neuron Logger

Here’s a small web application that uses Neuron Logger:

  from flask import Flask, request
  import neuron_logger as nl

  app = Flask(__name__)
  logger = nl.get_logger("web_app")

  @app.route("/login", methods=["POST"])
  def login():
      user = request.form["username"]
      logger.info(f"User {user} is trying to log in")
      # Authentication logic here
      logger.info(f"User {user} has successfully logged in")
      return "Login successful"

  if __name__ == "__main__":
      logger.info("Starting the web application")
      app.run(debug=True)

By using Neuron Logger in your web applications, you can easily track user activity and catch any issues that arise, making your application more reliable and easier to debug.

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