aevum-otel

Create a mini-application that integrates the 'aevum-otel' package to monitor and trace the execution of a simple task processing system. This application will simulate a basic task queue where tasks are added, processed, and completed. Each task will be represented as a span in the OpenTelemetry trace, allowing you to track the lifecycle of each task from start to finish.

### Steps:
1. **Setup the Environment**: Install Python and necessary libraries including 'aevum-otel'.
2. **Design the Task Queue**: Define classes or functions to represent tasks and a queue to manage these tasks.
3. **Task Processing**: Implement a function to process tasks from the queue, simulating real-world task handling such as data fetching, computation, or file writing.
4. **Integrate 'aevum-otel'**: Use 'aevum-otel' to create spans for each task added to the queue, each time a task is processed, and when a task is completed. Ensure that the span includes relevant metadata about the task and its execution.
5. **Visualization**: Optionally, implement a basic visualization tool or use an existing OpenTelemetry visualization service to display the traces of the tasks.

### Features:
- **Dynamic Task Creation**: Allow users to add custom tasks dynamically.
- **Task Prioritization**: Implement a feature to prioritize tasks based on their type or urgency.
- **Error Handling**: Gracefully handle errors during task processing and log them appropriately.
- **Performance Metrics**: Collect and display performance metrics for each task, such as processing time.
- **User Interface**: Develop a simple UI for adding tasks and viewing task status.

### How 'aevum-otel' is Utilized:
- **Span Creation**: For each task, create a new span using 'aevum-otel' at the point of task creation, indicating the task's details like ID, type, and priority.
- **Context Propagation**: Use context propagation to ensure that spans correctly follow the flow of task processing, even if tasks are distributed across different processes or services.
- **Event Logging**: Log significant events within the task processing lifecycle as annotations within the spans, providing insights into the task's progress and completion status.
- **Custom Attributes**: Add custom attributes to spans to provide more granular information about each task's characteristics and processing environment.

This project aims to demonstrate the power of 'aevum-otel' in simplifying the integration of OpenTelemetry tracing into applications, making it easier to understand and optimize the flow of operations.