watchlog-python 0.1.5

A simple Python package for logging metrics.

watchlog-python

A Python client for watchlog server.

Installation

To install the package, use pip:

pip install watchlog-python

Usage

1. Import the Watchlog Class

First, import the Watchlog class from the watchlog package.

from watchlog import Watchlog

2. Create an Instance of Watchlog

Create an instance of the Watchlog class.

watchlog_instance = Watchlog()

3. Using Watchlog in Your Application

You can use the watchlog_instance to log different types of metrics. Below are examples of how to use various methods provided by the Watchlog class.

# Increment the specified metric by the given value (default is 1)
watchlog_instance.increment('page_views', 10)

# Decrement the specified metric by the given value (default is 1)
watchlog_instance.decrement('items_in_cart', 2)


# Set the specified metric to the given value
watchlog_instance.gauge('current_temperature', 22.5)

# Set the specified metric to a percentage value (0 to 100)
watchlog_instance.percentage('completion_rate', 85)


# Log a system byte metric
watchlog_instance.systembyte('memory_usage', 1024)

1. Example Usage in a Django View

# views.py
from django.http import HttpResponse
from watchlog import Watchlog

# Create an instance of Watchlog
watchlog_instance = Watchlog()

def some_view(request):
    # Increment the metric without blocking the main thread
    watchlog_instance.increment('view_hits')

    return HttpResponse("This is a view that increments a metric.")