.env.example

@@ -138,6 +138,11 @@ BATCH_DELAY=5.0
 # Maximum concurrent series processing
 MAX_CONCURRENT_SERIES=3
 
+# Sequential processing delay for bulk downloads (seconds)
+# When multiple episodes are downloaded at once, process them one by one with this delay
+# Set to 0 to disable sequential processing (parallel mode)
+SEQUENTIAL_DELAY=20.0
+
 # API timeout in seconds
 TIMEOUT_SECONDS=45
 

config/settings.py

@@ -61,6 +61,7 @@ class NFOGuardConfig:
         # Batching and performance
         self.batch_delay = self._get_float_env("BATCH_DELAY", 5.0, 0.1, 300.0)
         self.max_concurrent = self._get_int_env("MAX_CONCURRENT_SERIES", 3, 1, 10)
+        self.sequential_delay = self._get_float_env("SEQUENTIAL_DELAY", 20.0, 0.0, 60.0)  # Delay between sequential episodes (default 20s)
         
         # Database
         self.db_type = os.environ.get("DB_TYPE", "sqlite").lower()

webhooks/webhook_batcher.py

@@ -3,6 +3,7 @@ Webhook Batching System for NFOGuard
 Handles batching and processing of webhook events to avoid processing storms
 """
 import threading
+import time
 from pathlib import Path
 from typing import Dict, Set
 from concurrent.futures import ThreadPoolExecutor
@@ -144,6 +145,12 @@ class WebhookBatcher:
                 
                 if processing_mode == 'targeted' and episodes_data:
                     _log("INFO", f"Using targeted episode processing for {len(episodes_data)} episodes")
+                    
+                    # Handle sequential processing for bulk downloads
+                    if len(episodes_data) > 1 and config.sequential_delay > 0:
+                        _log("INFO", f"Processing {len(episodes_data)} episodes sequentially with {config.sequential_delay}s delay")
+                        self._process_episodes_sequentially(path_obj, episodes_data)
+                    else:
                         self.tv_processor.process_webhook_episodes(path_obj, episodes_data)
                 else:
                     _log("INFO", f"Using series processing mode (fallback or configured)")
@@ -164,6 +171,29 @@ class WebhookBatcher:
             with self.lock:
                 self.processing.discard(key)
     
+    def _process_episodes_sequentially(self, path_obj: Path, episodes_data: list):
+        """Process episodes one by one with delays to avoid API spam"""        
+        total_episodes = len(episodes_data)
+        for i, episode in enumerate(episodes_data, 1):
+            try:
+                season = episode.get('seasonNumber', '?')
+                episode_num = episode.get('episodeNumber', '?')
+                _log("INFO", f"Processing episode {i}/{total_episodes}: S{season:02d}E{episode_num:02d}")
+                
+                # Process single episode
+                self.tv_processor.process_webhook_episodes(path_obj, [episode])
+                
+                # Add delay between episodes (except for the last one)
+                if i < total_episodes and config.sequential_delay > 0:
+                    _log("INFO", f"Waiting {config.sequential_delay}s before next episode...")
+                    time.sleep(config.sequential_delay)
+                    
+            except Exception as e:
+                _log("ERROR", f"Error processing episode {i}/{total_episodes}: {e}")
+                # Continue with next episode even if one fails
+                
+        _log("INFO", f"Completed sequential processing of {total_episodes} episodes")
+    
     def get_status(self) -> Dict:
         """Get batch queue status"""
         with self.lock: