[+] Multithreaded launcher

launcher.py

@@ -0,0 +1,63 @@
+import argparse
+import subprocess
+import concurrent.futures
+import os
+from pathlib import Path
+from datetime import datetime
+
+def run_workflow(imdb_id: str, dl_dir: str, jellyfin_dir: str, logs_dir: Path):
+    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+    log_file = logs_dir / f"{imdb_id}_{timestamp}.log"
+    
+    cmd = [
+        "uv", "run", "workflow.py",
+        imdb_id,
+        "--dl-dir", dl_dir,
+        "--jellyfin-dir", jellyfin_dir
+    ]
+    
+    print(f"Starting workflow for {imdb_id}... (Logging to {log_file})")
+    with open(log_file, "w", encoding="utf-8") as f:
+        process = subprocess.Popen(
+            cmd,
+            stdout=f,
+            stderr=subprocess.STDOUT,
+            text=True
+        )
+        process.wait()
+        
+    status = "SUCCESS" if process.returncode == 0 else f"FAILED (code {process.returncode})"
+    print(f"[{status}] Workflow for {imdb_id} completed. Check {log_file} for details.")
+    return imdb_id, process.returncode
+
+def main():
+    parser = argparse.ArgumentParser(description="Multithreading launcher for IMDB workflow.")
+    parser.add_argument("imdb_ids", nargs="+", help="The IMDb IDs to process (e.g., tt38872297 tt0903747)")
+    parser.add_argument("--dl-dir", type=str, default="/data/QB", help="The qBittorrent download directory")
+    parser.add_argument("--jellyfin-dir", type=str, default="/data/Jellyfin", help="The base Jellyfin library directory")
+    parser.add_argument("--workers", type=int, default=4, help="Number of concurrent workers")
+    
+    args = parser.parse_args()
+    
+    logs_dir = Path("logs")
+    logs_dir.mkdir(exist_ok=True)
+    
+    print(f"Launching processing for {len(args.imdb_ids)} IMDB IDs across {args.workers} workers...")
+    
+    with concurrent.futures.ThreadPoolExecutor(max_workers=args.workers) as executor:
+        futures = []
+        for imdb_id in args.imdb_ids:
+            futures.append(
+                executor.submit(run_workflow, imdb_id, args.dl_dir, args.jellyfin_dir, logs_dir)
+            )
+            
+        for future in concurrent.futures.as_completed(futures):
+            try:
+                future.result()
+            except Exception as e:
+                print(f"Worker generated an exception: {e}")
+                
+    print("All tasks finished.")
+
+if __name__ == "__main__":
+    main()