shoehorning graphql, step functions and lamdas. aws deployment scripts

task/executor.py

@@ -110,7 +110,16 @@ class LocalExecutor(Executor):
 
 
 class LambdaExecutor(Executor):
-    """Execute jobs via AWS Lambda (future implementation)."""
+    """Execute jobs via AWS Step Functions + Lambda."""
+
+    def __init__(self):
+        import boto3
+
+        region = os.environ.get("AWS_REGION", "us-east-1")
+        self.sfn = boto3.client("stepfunctions", region_name=region)
+        self.state_machine_arn = os.environ["STEP_FUNCTION_ARN"]
+        self.callback_url = os.environ.get("CALLBACK_URL", "")
+        self.callback_api_key = os.environ.get("CALLBACK_API_KEY", "")
 
     def run(
         self,
@@ -123,8 +132,36 @@ class LambdaExecutor(Executor):
         duration: Optional[float] = None,
         progress_callback: Optional[Callable[[int, Dict[str, Any]], None]] = None,
     ) -> bool:
-        """Execute job via AWS Lambda."""
-        raise NotImplementedError("LambdaExecutor not yet implemented")
+        """Start a Step Functions execution for this job."""
+        import json
+
+        payload = {
+            "job_id": job_id,
+            "source_key": source_path,
+            "output_key": output_path,
+            "preset": preset,
+            "trim_start": trim_start,
+            "trim_end": trim_end,
+            "duration": duration,
+            "callback_url": self.callback_url,
+            "api_key": self.callback_api_key,
+        }
+
+        response = self.sfn.start_execution(
+            stateMachineArn=self.state_machine_arn,
+            name=f"mpr-{job_id}",
+            input=json.dumps(payload),
+        )
+
+        # Store execution ARN on the job
+        execution_arn = response["executionArn"]
+        try:
+            from mpr.media_assets.models import TranscodeJob
+            TranscodeJob.objects.filter(id=job_id).update(execution_arn=execution_arn)
+        except Exception:
+            pass
+
+        return True
 
 
 # Executor registry