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| from flask import Flask, request, render_template, send_file, jsonify, send_from_directory | |
| from flask_socketio import SocketIO, emit | |
| from flask_cors import CORS | |
| import io | |
| import os | |
| import argparse | |
| from PIL import Image | |
| import torch | |
| import gc | |
| from peft import PeftModel | |
| import queue | |
| import threading | |
| import uuid | |
| import concurrent.futures | |
| from scripts.process_utils import * | |
| app = Flask(__name__) | |
| # app.secret_key = 'super_secret_key' | |
| CORS(app) | |
| socketio = SocketIO(app, cors_allowed_origins="*") | |
| # タスクキューの作成 | |
| task_queue = queue.Queue() | |
| active_tasks = {} | |
| task_futures = {} | |
| # ThreadPoolExecutorの作成 | |
| executor = concurrent.futures.ThreadPoolExecutor(max_workers=1) | |
| class Task: | |
| def __init__(self, task_id, mode, weight1, weight2, file_data): | |
| self.task_id = task_id | |
| self.mode = mode | |
| self.weight1 = weight1 | |
| self.weight2 = weight2 | |
| self.file_data = file_data | |
| self.cancel_flag = False | |
| def update_queue_status(message=None): | |
| socketio.emit('queue_update', {'active_tasks': len(active_tasks), 'message': message}) | |
| def process_task(task): | |
| try: | |
| # ファイルデータをPIL Imageに変換 | |
| image = Image.open(io.BytesIO(task.file_data)) | |
| image = ensure_rgb(image) | |
| # キャンセルチェック | |
| if task.cancel_flag: | |
| return | |
| # 画像処理ロジックを呼び出す | |
| sotai_image, sketch_image = process_image_as_base64(image, task.mode, task.weight1, task.weight2) | |
| # キャンセルチェック | |
| if task.cancel_flag: | |
| return | |
| socketio.emit('task_complete', { | |
| 'task_id': task.task_id, | |
| 'sotai_image': sotai_image, | |
| 'sketch_image': sketch_image | |
| }) | |
| except Exception as e: | |
| if not task.cancel_flag: | |
| socketio.emit('task_error', {'task_id': task.task_id, 'error': str(e)}) | |
| finally: | |
| if task.task_id in active_tasks: | |
| del active_tasks[task.task_id] | |
| if task.task_id in task_futures: | |
| del task_futures[task.task_id] | |
| update_queue_status('Task completed or cancelled') | |
| def worker(): | |
| while True: | |
| try: | |
| task = task_queue.get() | |
| if task.task_id in active_tasks: | |
| future = executor.submit(process_task, task) | |
| task_futures[task.task_id] = future | |
| update_queue_status(f'Task started: {task.task_id}') | |
| except Exception as e: | |
| print(f"Worker error: {str(e)}") | |
| finally: | |
| # Ensure the task is always removed from the queue | |
| task_queue.task_done() | |
| # ワーカースレッドの開始 | |
| threading.Thread(target=worker, daemon=True).start() | |
| def submit_task(): | |
| task_id = str(uuid.uuid4()) | |
| file = request.files['file'] | |
| mode = request.form.get('mode', 'refine') | |
| weight1 = float(request.form.get('weight1', 0.4)) | |
| weight2 = float(request.form.get('weight2', 0.3)) | |
| # ファイルデータをバイト列として保存 | |
| file_data = file.read() | |
| task = Task(task_id, mode, weight1, weight2, file_data) | |
| task_queue.put(task) | |
| active_tasks[task_id] = task | |
| update_queue_status(f'Task submitted: {task_id}') | |
| queue_size = task_queue.qsize() | |
| return jsonify({'task_id': task_id, 'queue_size': queue_size}) | |
| def cancel_task(task_id): | |
| if task_id in active_tasks: | |
| task = active_tasks[task_id] | |
| task.cancel_flag = True | |
| if task_id in task_futures: | |
| task_futures[task_id].cancel() | |
| del task_futures[task_id] | |
| del active_tasks[task_id] | |
| update_queue_status('Task cancelled') | |
| return jsonify({'message': 'Task cancellation requested'}) | |
| else: | |
| return jsonify({'message': 'Task not found or already completed'}), 404 | |
| def get_active_task_order(task_id): | |
| return list(active_tasks.keys()).index(task_id) if task_id in active_tasks else None | |
| # get_task_orderイベントハンドラー | |
| def handle_get_task_order(task_id): | |
| task_order = get_active_task_order(task_id) | |
| return jsonify({'task_order': task_order}) | |
| def handle_connect(): | |
| emit('queue_update', {'active_tasks': len(active_tasks), 'active_task_order': None}) | |
| # Flaskルート | |
| def process_refined(): | |
| if request.method == 'POST': | |
| file = request.files['file'] | |
| weight1 = float(request.form.get('weight1', 0.4)) | |
| weight2 = float(request.form.get('weight2', 0.3)) | |
| image = ensure_rgb(Image.open(file.stream)) | |
| sotai_image, sketch_image = process_image_as_base64(image, "refine", weight1, weight2) | |
| return jsonify({ | |
| 'sotai_image': sotai_image, | |
| 'sketch_image': sketch_image | |
| }) | |
| def process_original(): | |
| if request.method == 'POST': | |
| file = request.files['file'] | |
| image = ensure_rgb(Image.open(file.stream)) | |
| sotai_image, sketch_image = process_image_as_base64(image, "original") | |
| return jsonify({ | |
| 'sotai_image': sotai_image, | |
| 'sketch_image': sketch_image | |
| }) | |
| def process_sketch(): | |
| if request.method == 'POST': | |
| file = request.files['file'] | |
| image = ensure_rgb(Image.open(file.stream)) | |
| sotai_image, sketch_image = process_image_as_base64(image, "sketch") | |
| return jsonify({ | |
| 'sotai_image': sotai_image, | |
| 'sketch_image': sketch_image | |
| }) | |
| # エラーハンドラー | |
| def server_error(e): | |
| return jsonify(error=str(e)), 500 | |
| if __name__ == '__main__': | |
| parser = argparse.ArgumentParser(description='Server options.') | |
| parser.add_argument('--use_local', action='store_true', help='Use local model') | |
| parser.add_argument('--use_gpu', action='store_true', help='Set to True to use GPU but if not available, it will use CPU') | |
| args = parser.parse_args() | |
| initialize(args.use_local, args.use_gpu) | |
| socketio.run(app, debug=True, host='0.0.0.0', port=80) |