watchlog-python 0.2.4

A simple and non-blocking Python package for sending custom metrics to Watchlog.

watchlog-python

A lightweight, non-blocking Python client for sending custom metrics to the Watchlog monitoring platform.

🚀 Installation

Install the package using pip:

pip install watchlog-python

📦 Usage

1. Import the Watchlog class

from watchlog import Watchlog

2. Create an instance of Watchlog

watchlog_instance = Watchlog()

3. Send metrics using simple method calls

# Increment a counter
watchlog_instance.increment('page_views', 10)

# Decrement a counter
watchlog_instance.decrement('items_in_cart', 2)

# Set a gauge value
watchlog_instance.gauge('current_temperature', 22.5)

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

# Log system byte metric (e.g., memory usage in bytes)
watchlog_instance.systembyte('memory_usage', 1024)

All operations are performed asynchronously and silently, ensuring zero interruption to your main application.

🌐 Example Usage in a Django View

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

watchlog_instance = Watchlog()

def some_view(request):
    watchlog_instance.increment('view_hits')
    return HttpResponse("This is a view that increments a metric.")

✅ Features

• ⚡️ Non-blocking & thread-based HTTP request
• 🛡️ No logging, printing, or exception leaks
• 🔐 Safe and isolated from your main application flow
• 🧩 Easy to integrate with any Python web framework

📄 License

MIT License