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Running
on
Zero
File size: 10,746 Bytes
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from flask import Flask, request, render_template, send_file, jsonify, send_from_directory
from flask_socketio import SocketIO, join_room, leave_room, close_room, rooms, disconnect
from flask_cors import CORS
from flask_limiter import Limiter
from flask_limiter.util import get_remote_address
import concurrent.futures
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 *
from gevent import pywsgi
from geventwebsocket.handler import WebSocketHandler
app = Flask(__name__)
CORS(app)
socketio = SocketIO(app, cors_allowed_origins="*")
# レート制限の設定
limiter = Limiter(
get_remote_address,
app=app,
default_limits=["200 per day", "50 per hour"]
)
# タスクキューの作成とサイズ制限
MAX_QUEUE_SIZE = 100
task_queue = queue.Queue(maxsize=MAX_QUEUE_SIZE)
active_tasks = {}
task_futures = {}
# ThreadPoolExecutorの作成
executor = concurrent.futures.ThreadPoolExecutor(max_workers=8) # 8vCPUのインスタンスを使用
class Task:
def __init__(self, task_id, mode, weight1, weight2, file_data, client_ip):
self.task_id = task_id
self.mode = mode
self.weight1 = weight1
self.weight2 = weight2
self.file_data = file_data
self.cancel_flag = False
self.client_ip = client_ip
self.is_processing = False
# キューの状態を通知
def update_queue_status(message):
socketio.emit('queue_update', {'active_tasks': len(active_tasks), 'message': message})
def process_task(task):
try:
client_id = request.sid
task.is_processing = True
# 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
}, to=client_id)
except Exception as e:
if not task.cancel_flag:
socketio.emit('task_error', {'task_id': task.task_id, 'error': str(e)}, to=client_id)
finally:
task.is_processing = False
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]
# タスク数をデクリメント
client_ip = task.client_ip
tasks_per_client[client_ip] = tasks_per_client.get(client_ip, 0) - 1
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
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()
# グローバル変数を使用して接続数とタスク数を管理
connected_clients = 0
tasks_per_client = {}
@socketio.on('connect')
def handle_connect(auth):
client_id = request.sid # クライアントIDを取得
join_room(client_id) # クライアントを自身のルームに入れる
global connected_clients
connected_clients += 1
@socketio.on('disconnect')
def handle_disconnect():
client_id = request.sid # クライアントIDを取得
leave_room(client_id) # クライアントをルームから出す
global connected_clients
connected_clients -= 1
# キャンセル処理:接続が切断された場合、そのクライアントに関連するタスクをキャンセル。ただし、1番目で処理中のタスクはキャンセルしない
client_ip = get_remote_address()
for task_id, task in list(active_tasks.items()):
if task.client_ip == client_ip and not task.is_processing:
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]
tasks_per_client[client_ip] = tasks_per_client.get(client_ip, 0) - 1
@app.route('/submit_task', methods=['POST'])
@limiter.limit("10 per minute") # 1分間に10回までのリクエストに制限
def submit_task():
if task_queue.full():
return jsonify({'error': 'Task queue is full. Please try again later.'}), 503
# クライアントIPアドレスを取得
client_ip = get_remote_address()
client_id = request.sid # クライアントIDを取得
# 同一IPからの同時タスク数を制限
if tasks_per_client.get(client_ip, 0) >= 2:
return jsonify({'error': 'Maximum number of concurrent tasks reached'}), 429
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))
# ファイルタイプの制限
allowed_extensions = {'png', 'jpg', 'jpeg', 'gif'}
if '.' not in file.filename or file.filename.rsplit('.', 1)[1].lower() not in allowed_extensions:
return jsonify({'error': 'Invalid file type'}), 415
# 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, client_ip)
task_queue.put(task)
active_tasks[task_id] = task
# 同一IPからのタスク数をインクリメント
tasks_per_client[client_ip] = tasks_per_client.get(client_ip, 0) + 1
update_queue_status('Task submitted')
queue_size = task_queue.qsize()
return jsonify({'task_id': task_id, 'queue_size': queue_size})
@app.route('/cancel_task/<task_id>', methods=['POST'])
def cancel_task(task_id):
# クライアントIPアドレスを取得
client_ip = get_remote_address()
if task_id in active_tasks:
task = active_tasks[task_id]
# タスクの所有者を確認(IPアドレスで簡易的に判断)
if task.client_ip != client_ip:
return jsonify({'error': 'Unauthorized to cancel this task'}), 403
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]
# タスク数をデクリメント
tasks_per_client[client_ip] = tasks_per_client.get(client_ip, 0) - 1
update_queue_status('Task cancelled')
return jsonify({'message': 'Task cancellation requested'})
else:
for task in list(task_queue.queue):
if task.task_id == task_id and task.client_ip == client_ip:
task.cancel_flag = True
# タスク数をデクリメント
tasks_per_client[client_ip] = tasks_per_client.get(client_ip, 0) - 1
return jsonify({'message': 'Task cancellation requested for queued task'})
return jsonify({'error': 'Task not found'}), 404
@app.route('/task_status/<task_id>', methods=['GET'])
def task_status(task_id):
task = active_tasks.get(task_id, None)
if task:
return jsonify({'task_id': task_id, 'is_processing': task.is_processing})
return jsonify({'error': 'Task not found'}), 404
def get_active_task_order(task_id):
non_processing_tasks = [tid for tid, task in active_tasks.items() if not task.is_processing]
return non_processing_tasks.index(task_id) if task_id in non_processing_tasks else 0
# get_task_orderイベントハンドラー
@app.route('/get_task_order/<task_id>', methods=['GET'])
def handle_get_task_order(task_id):
if task_id not in active_tasks:
return jsonify({'error': 'Task not found'}), 404
return jsonify({'task_order': get_active_task_order(task_id)})
# Flaskルート
# ルートパスのGETリクエストに対するハンドラ
@app.route('/', methods=['GET'])
def root():
return render_template("index.html")
# process_refined のエンドポイント
@app.route('/process_refined', methods=['POST'])
def process_refined():
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
})
@app.route('/process_original', methods=['POST'])
def process_original():
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
})
@app.route('/process_sketch', methods=['POST'])
def process_sketch():
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
})
# グローバルエラーハンドラー
@app.errorhandler(Exception)
def handle_exception(e):
# ログにエラーを記録
app.logger.error(f"Unhandled exception: {str(e)}")
return jsonify({'error': 'An unexpected error occurred'}), 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')
parser.add_argument('--use_dotenv', action='store_true', help='Use .env file for environment variables')
args = parser.parse_args()
initialize(args.use_local, args.use_gpu, args.use_dotenv)
port = int(os.environ.get('PORT', 7860))
server = pywsgi.WSGIServer(('0.0.0.0', port), app, handler_class=WebSocketHandler)
server.serve_forever()
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