aiowatch

Develop a real-time logging and monitoring tool for a simple asynchronous web crawler using Python's aiohttp and the 'aiowatch' package. This tool will not only scrape data from websites but also provide detailed logs and performance metrics through OpenTelemetry, allowing you to monitor the health and performance of your web scraping tasks in real-time.

Step 1: Set up your environment with Python 3.8+ and install necessary packages including aiohttp, aiowatch, and opentelemetry-api.

Step 2: Create a basic asynchronous web crawler using aiohttp. This crawler should fetch HTML content from a list of URLs provided as input.

Step 3: Integrate 'aiowatch' into your web crawler. Use it to observe the execution of your asyncio tasks and thread pools. Configure aiowatch to capture key metrics such as task durations, number of requests made, and any errors encountered during the crawling process.

Step 4: Implement OpenTelemetry to collect and export these metrics. Consider using a backend like Jaeger or Zipkin for visualization and analysis.

Step 5: Extend the functionality of your tool by adding features like:
- A user interface for viewing real-time logs and metrics.
- Configurable logging levels for different parts of your application.
- Support for multiple concurrent crawlers to simulate more complex scenarios.
- An option to save logs and metrics to a file or database for later analysis.

Your goal is to create a robust, observable web scraping solution that demonstrates the power of 'aiowatch' in enhancing the monitoring capabilities of asyncio-based applications.