Mark Gross

# Terminal Usage
$ python uat_automation.py init my_project
$ python uat_automation.py run my_project_tests
$ python uat_automation.py validate video.mp4

class Validators:
    @staticmethod
    def validate_video_codec(path, expected_codec):
        result = subprocess.run([
            'ffprobe', '-v', 'quiet',
            '-print_format', 'json',
            '-show_streams', path
        ], capture_output=True)
        
        data = json.loads(result.stdout)
        codec = data['streams'][0]['codec_name']
        
        return TestResult(
            status="PASSED" if codec == expected_codec else "FAILED"
        )

class MeshyPipeline:
    def process_concept(self, image_path):
        # Upload to Meshy AI
        task_id = self.meshy_api.create_task(image_path)
        
        # Poll for completion
        result = self.wait_for_result(task_id)
        
        # Validate and convert to USD
        usd_path = self.convert_to_usd(result.glb_path)
        
        # Publish to asset library
        self.shotgrid.publish_asset(
            usd_path, 
            asset_type="prop"
        )

function exportMarkersToJSON(comp) {
    var markers = [];
    var markerProp = comp.markerProperty;
    
    for (var i = 1; i <= markerProp.numKeys; i++) {
        markers.push({
            time: markerProp.keyTime(i),
            comment: markerProp.keyValue(i).comment,
            duration: markerProp.keyValue(i).duration
        });
    }
    
    return JSON.stringify(markers, null, 2);
}

def get_artist_workload(self, artist_id):
    tasks = self.sg.find("Task", [
        ["task_assignees", "is", {"type": "HumanUser", "id": artist_id}],
        ["sg_status_list", "not_in", ["fin", "omt"]]
    ], ["content", "sg_status_list", "due_date"])
    
    return {
        "total": len(tasks),
        "in_progress": sum(1 for t in tasks if t["sg_status_list"] == "ip"),
        "tasks": tasks
    }