[O] Reuse existing

workflow.py

@@ -80,6 +80,24 @@ def process_imdb_workflow(imdb_id: str, dl_dir: str = "/data/QB", jellyfin_base_
     else:
         jellyfin_dir = f"{jellyfin_base_dir}/Movie"
 
+    print(f"\n=== [0.5] Checking if torrent already exists in qBittorrent ===")
+    qb = get_qb_client()
+    jellyfin_base = Path(jellyfin_dir) / f"{title_dir} [{imdb_id}]"
+    new_name = f"{year} {title} [{imdb_id}]".strip()
+
+    existing_torrents = qb.torrents_info()
+    existing_t_hash = None
+    for t in existing_torrents:
+        if f"[{imdb_id}]" in t.name:
+            existing_t_hash = t.hash
+            break
+
+    hashes_to_process = []
+
+    if existing_t_hash:
+        print(f"Found existing torrent with hash {existing_t_hash}, skipping search and download.")
+        hashes_to_process.append((existing_t_hash, "existing"))
+    else:
         print(f"\n=== [1] Searching Torrents for {imdb_id} ===")
         imdb_url = f"https://www.imdb.com/title/{imdb_id}/"
         search_res = search_mteam_torrents(imdb_url)
@@ -114,9 +132,6 @@ def process_imdb_workflow(imdb_id: str, dl_dir: str = "/data/QB", jellyfin_base_
             print("No torrents selected.")
             return
 
-    qb = get_qb_client()
-    jellyfin_base = Path(jellyfin_dir) / f"{title_dir} [{imdb_id}]"
-
         for tid in selected_ids:
             print(f"\n=== [3] Downloading .torrent for ID: {tid} ===")
             torrent_bytes = generate_mteam_download_token(tid)
@@ -136,7 +151,6 @@ def process_imdb_workflow(imdb_id: str, dl_dir: str = "/data/QB", jellyfin_base_
             
             print(f"Tracking torrent Hash: {t_hash}")
 
-        new_name = f"{year} {title}".strip()
             rename_torrent_and_folder(qb, t_hash, new_name)
 
             while True:
@@ -156,6 +170,9 @@ def process_imdb_workflow(imdb_id: str, dl_dir: str = "/data/QB", jellyfin_base_
                 time.sleep(5)
             print("Download complete!")
             
+            hashes_to_process.append((t_hash, tid))
+
+    for t_hash, tid in hashes_to_process:
         print(f"\n=== [6] Generating rename mapping using LLM ===")
         file_tree = get_torrent_file_tree(qb, t_hash)