# --- Standard Library Imports --- import threading import time import os import json import traceback from concurrent.futures import ThreadPoolExecutor, as_completed, Future # --- Local Application Imports --- # These imports reflect the new, organized project structure. from .api_client import download_from_api from .workers import PostProcessorWorker, DownloadThread from ..config.constants import ( STYLE_DATE_BASED, STYLE_POST_TITLE_GLOBAL_NUMBERING, MAX_THREADS, POST_WORKER_BATCH_THRESHOLD, POST_WORKER_NUM_BATCHES, POST_WORKER_BATCH_DELAY_SECONDS ) from ..utils.file_utils import clean_folder_name class DownloadManager: """ Manages the entire download lifecycle, acting as a bridge between the UI and the backend workers. It handles thread pools, task submission, and state management for a download session. """ def __init__(self, progress_queue): """ Initializes the DownloadManager. Args: progress_queue (queue.Queue): A thread-safe queue for sending status updates to the UI. """ self.progress_queue = progress_queue self.thread_pool = None self.active_futures = [] # --- Session State --- self.cancellation_event = threading.Event() self.pause_event = threading.Event() self.is_running = False self.total_posts = 0 self.processed_posts = 0 self.total_downloads = 0 self.total_skips = 0 self.all_kept_original_filenames = [] def _log(self, message): """Puts a progress message into the queue for the UI.""" self.progress_queue.put({'type': 'progress', 'payload': (message,)}) def start_session(self, config, restore_data=None): """ Starts a new download session based on the provided configuration. This is the main entry point called by the UI. Args: config (dict): A dictionary containing all settings from the UI. restore_data (dict, optional): Data from a previous, interrupted session. """ if self.is_running: self._log("❌ Cannot start a new session: A session is already in progress.") return # --- Reset state for the new session --- self.is_running = True self.cancellation_event.clear() self.pause_event.clear() self.active_futures.clear() self.total_posts = 0 self.processed_posts = 0 self.total_downloads = 0 self.total_skips = 0 self.all_kept_original_filenames = [] # --- Decide execution strategy (multi-threaded vs. single-threaded) --- is_single_post = bool(config.get('target_post_id_from_initial_url')) use_multithreading = config.get('use_multithreading', True) is_manga_sequential = config.get('manga_mode_active') and config.get('manga_filename_style') in [STYLE_DATE_BASED, STYLE_POST_TITLE_GLOBAL_NUMBERING] should_use_multithreading_for_posts = use_multithreading and not is_single_post and not is_manga_sequential if should_use_multithreading_for_posts: # Start a separate thread to manage fetching and queuing to the thread pool fetcher_thread = threading.Thread( target=self._fetch_and_queue_posts_for_pool, args=(config, restore_data), daemon=True ) fetcher_thread.start() else: # For single posts or sequential manga mode, use a single worker thread # which is simpler and ensures order. self._start_single_threaded_session(config) def _start_single_threaded_session(self, config): """Handles downloads that are best processed by a single worker thread.""" self._log("â„šī¸ Initializing single-threaded download process...") # The original DownloadThread is now a pure Python thread, not a QThread. # We run its `run` method in a standard Python thread. self.worker_thread = threading.Thread( target=self._run_single_worker, args=(config,), daemon=True ) self.worker_thread.start() def _run_single_worker(self, config): """Target function for the single-worker thread.""" try: # Pass the queue directly to the worker for it to send updates worker = DownloadThread(config, self.progress_queue) worker.run() # This is the main blocking call for this thread except Exception as e: self._log(f"❌ CRITICAL ERROR in single-worker thread: {e}") self._log(traceback.format_exc()) finally: self.is_running = False def _fetch_and_queue_posts_for_pool(self, config, restore_data): """ Fetches all posts from the API and submits them as tasks to a thread pool. This method runs in its own dedicated thread to avoid blocking. """ try: num_workers = min(config.get('num_threads', 4), MAX_THREADS) self.thread_pool = ThreadPoolExecutor(max_workers=num_workers, thread_name_prefix='PostWorker_') # Fetch posts # In a real implementation, this would call `api_client.download_from_api` if restore_data: all_posts = restore_data['all_posts_data'] processed_ids = set(restore_data['processed_post_ids']) posts_to_process = [p for p in all_posts if p.get('id') not in processed_ids] self.total_posts = len(all_posts) self.processed_posts = len(processed_ids) self._log(f"🔄 Restoring session. {len(posts_to_process)} posts remaining.") else: posts_to_process = self._get_all_posts(config) self.total_posts = len(posts_to_process) self.processed_posts = 0 self.progress_queue.put({'type': 'overall_progress', 'payload': (self.total_posts, self.processed_posts)}) if not posts_to_process: self._log("✅ No new posts to process.") return # Submit tasks to the pool for post_data in posts_to_process: if self.cancellation_event.is_set(): break # Each PostProcessorWorker gets the queue to send its own updates worker = PostProcessorWorker(post_data, config, self.progress_queue) future = self.thread_pool.submit(worker.process) future.add_done_callback(self._handle_future_result) self.active_futures.append(future) except Exception as e: self._log(f"❌ CRITICAL ERROR in post fetcher thread: {e}") self._log(traceback.format_exc()) finally: # Wait for all submitted tasks to complete before shutting down if self.thread_pool: self.thread_pool.shutdown(wait=True) self.is_running = False self._log("🏁 All processing tasks have completed.") # Emit final signal self.progress_queue.put({ 'type': 'finished', 'payload': (self.total_downloads, self.total_skips, self.cancellation_event.is_set(), self.all_kept_original_filenames) }) def _get_all_posts(self, config): """Helper to fetch all posts using the API client.""" all_posts = [] # This generator yields batches of posts post_generator = download_from_api( api_url_input=config['api_url'], logger=self._log, # ... pass other relevant config keys ... cancellation_event=self.cancellation_event, pause_event=self.pause_event ) for batch in post_generator: all_posts.extend(batch) return all_posts def _handle_future_result(self, future: Future): """Callback executed when a worker task completes.""" if self.cancellation_event.is_set(): return with threading.Lock(): # Protect shared counters self.processed_posts += 1 try: if future.cancelled(): self._log("âš ī¸ A post processing task was cancelled.") self.total_skips += 1 else: result = future.result() # Unpack result tuple from the worker (dl_count, skip_count, kept_originals, retryable, permanent, history) = result self.total_downloads += dl_count self.total_skips += skip_count self.all_kept_original_filenames.extend(kept_originals) # Queue up results for UI to handle if retryable: self.progress_queue.put({'type': 'retryable_failure', 'payload': (retryable,)}) if permanent: self.progress_queue.put({'type': 'permanent_failure', 'payload': (permanent,)}) if history: self.progress_queue.put({'type': 'post_processed_history', 'payload': (history,)}) except Exception as e: self._log(f"❌ Worker task resulted in an exception: {e}") self.total_skips += 1 # Count errored posts as skipped # Update overall progress self.progress_queue.put({'type': 'overall_progress', 'payload': (self.total_posts, self.processed_posts)}) def cancel_session(self): """Cancels the current running session.""" if not self.is_running: return self._log("âš ī¸ Cancellation requested by user...") self.cancellation_event.set() # For single thread mode, the worker checks the event # For multi-thread mode, shut down the pool if self.thread_pool: # Don't wait, just cancel pending futures and let the fetcher thread exit self.thread_pool.shutdown(wait=False, cancel_futures=True) self.is_running = False