#!/usr/bin/env python3 """ Stream Processing example for unsandbox Python SDK - Asynchronous Version Demonstrates async generator patterns and streaming data processing. Shows how to handle potentially large datasets with async/await. To run: export UNSANDBOX_PUBLIC_KEY="your-public-key" export UNSANDBOX_SECRET_KEY="your-secret-key" python3 stream_processing.py Expected output: Processing stream of data... [stream-task-1] Processed 10 items, sum: 45 [stream-task-2] Processed 10 items, sum: 145 [stream-task-3] Processed 10 items, sum: 245 Stream processing completed! """ import asyncio import sys import os # Add src to path for development sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "src")) from un_async import execute_code, CredentialsError async def run_stream_task(task_num: int, start: int, count: int, public_key: str, secret_key: str): """Execute stream processing task asynchronously.""" code = f""" # Simulate stream processing with generator def stream_generator(start, count): for i in range(start, start + count): yield i # Process stream total = 0 item_count = 0 for item in stream_generator({start}, {count}): total += item item_count += 1 print(f"Processed {{item_count}} items, sum: {{total}}") """ try: result = await execute_code("python", code, public_key, secret_key) output = result.get("stdout", "").strip() print(f"[stream-task-{task_num}] {output}") return {"task": task_num, "status": "completed"} except Exception as e: print(f"[stream-task-{task_num}] Error: {e}") return {"task": task_num, "status": "failed"} async def main(): """Execute multiple stream processing tasks concurrently.""" try: # Resolve credentials from environment public_key = os.environ.get("UNSANDBOX_PUBLIC_KEY") secret_key = os.environ.get("UNSANDBOX_SECRET_KEY") if not public_key or not secret_key: print("Error: UNSANDBOX_PUBLIC_KEY and UNSANDBOX_SECRET_KEY environment variables required") print("Run with: export UNSANDBOX_PUBLIC_KEY=your-key UNSANDBOX_SECRET_KEY=your-key") return 1 # Create concurrent tasks for stream processing print("Processing stream of data...") tasks = [ run_stream_task(1, 0, 10, public_key, secret_key), run_stream_task(2, 10, 10, public_key, secret_key), run_stream_task(3, 20, 10, public_key, secret_key), ] # Wait for all tasks to complete results = await asyncio.gather(*tasks) print("Stream processing completed!") # Check results all_completed = all(r.get("status") == "completed" for r in results) return 0 if all_completed else 1 except CredentialsError as e: print(f"Credentials error: {e}") return 1 except Exception as e: print(f"Error: {e}") import traceback traceback.print_exc() return 1 if __name__ == "__main__": exit_code = asyncio.run(main()) sys.exit(exit_code)