Variable	Description	Default Value
TASK_CONFIG_PATH	Path to the task configuration JSON file	evaluation_examples/test_small.json
EXAMPLES_BASE_PATH	Base path for task example files	evaluation_examples/examples
RESULTS_BASE_PATH	Base path for execution results	results_operator_aws/pyautogui/screenshot/computer-use-preview
MAX_STEPS	Maximum steps to display for a task	50
FLASK_PORT	Port for the web server	8080
FLASK_HOST	Host address for the web server	0.0.0.0
FLASK_DEBUG	Enable debug mode (true/false)	true

For example:

# .env
TASK_CONFIG_PATH=evaluation_examples/test_small.json
EXAMPLES_BASE_PATH=evaluation_examples/examples
RESULTS_BASE_PATH=results_operator_aws/pyautogui/screenshot/computer-use-preview
MAX_STEPS=50
FLASK_PORT=8080
FLASK_HOST=0.0.0.0
FLASK_DEBUG=true

Running with Docker

The recommended way to run the monitor is using Docker with the provided Docker Compose configuration.

Prerequisites

Docker and Docker Compose installed on your system
OSWorld repository cloned to your local machine

Starting the Monitor

Navigate to the monitor directory:
```
cd /path/to/OSWorld/monitor
```
Edit the .env file if you need to customize any settings.
Build and start the Docker container:
```
docker-compose up -d
```
Access the monitor in your web browser at:
```
http://{your-ip-address}:{FLASK_PORT}
```

Stopping the Monitor

To stop the monitor:

docker-compose down

Viewing Logs

To view the monitor logs:

docker-compose logs -f

Running Without Docker

If you prefer to run the monitor directly, make sure you have created a .env file with the necessary configurations. You will also need to install the required Python packages.

Install the required Python packages:
```
pip install -r requirements.txt
```
Start the monitor:
```
python main.py
```

Features

Task Overview: View all tasks with their status, progress, and basic information
Task Filtering: Filter tasks by status (all, active, completed)
Task Details: Detailed view of each task showing step-by-step execution
Screenshots: View screenshots captured during task execution

Troubleshooting

If you encounter issues:

Check the logs for errors
Verify the paths in .env file point to valid directories
Ensure the Docker daemon is running (if using Docker)
Check that the port is not already in use by another application
Make sure you set the security group rules to allow access to the specified port