30138c5db1
* Enhance SetupController with improved logging and error handling during setup and file upload processes. Update instance type to t3.xlarge and AMI ID for AWS configuration. Add download progress logging and exception handling for better debugging. * Enhance VLC status evaluation by adding multiple paths for file and URL information extraction, improving robustness against varying VLC XML structures. Implement detailed logging for better debugging and error handling in case of mismatches or missing data. Update example JSON for VLC evaluation to use a valid HLS stream URL. * Improve audio comparison robustness in VLC evaluator by adding error handling for audio file loading and extraction. Implement detailed logging for empty or corrupt files, and normalize DTW distance calculation for more accurate similarity scoring. Remove deprecated audio fingerprint comparison function. --------- Co-authored-by: yuanmengqi <yuanmengqi@mail.ustc.edu.cn>
Evaluation examples
Here we put the data examples to benchmark the ability of agents when interacting with GUI.
The examples are stored in ./examples where each data item formatted as:
{
"id": "uid", # unique id
"snapshot": "snapshot_id", # the snapshot id of the environment, with some data already there and apps already opened, or just desktop
"instruction": "natural_language_instruction", # the natural language instruction of the task, what we want the agent to do
"source": "website_url", # where we know this example, some forum, or some website, or some paper
"config": {xxx}, # the scripts to setup the donwload and open files actions, as the initial state of a task
# (coming in next project) "trajectory": "trajectory_directory", # the trajectory directory, which contains the action sequence file, the screenshots and the recording video
"related_apps": ["app1", "app2", ...], # the related apps, which are opened during the task
"evaluator": "evaluation_dir", # the directory of the evaluator, which contains the evaluation script for this example
…
}
The ./trajectories file contains the annotated trajectories for each data item in ./examples for finishing the task.
For now, it is under construction, and only tested on Windows 10. Please:
- Modify the path accordingly to run the evaluation;
- Remind us if some parts are overfit to our environment.