本番環境として起動できるように修正してみる

_voicepeak-api.service

@@ -1,13 +1,13 @@
 [Unit]
-Description=VOICEPEAK API Service
+Description=Gunicorn instance to serve VoicePeak API
 After=network.target
 
 [Service]
-User=your_user
+User=your_username
 Group=your_group
 WorkingDirectory=/path/to/your/project
 Environment="PATH=/path/to/your/project/venv/bin"
-ExecStart=/path/to/your/project/venv/bin/python /path/to/your/project/app.py
+ExecStart=/path/to/your/project/run_prod.sh
 Restart=always
 
 [Install]

app/__init__.py

@@ -0,0 +1,12 @@
+from flask import Flask
+from config import Config
+
+def create_app(config_class=Config):
+    app = Flask(__name__)
+    app.config.from_object(config_class)
+    config_class.init_app(app)
+
+    from app import routes
+    app.register_blueprint(routes.bp)
+
+    return app

app/routes.py

@@ -1,18 +1,11 @@
-from flask import Flask, request, jsonify, send_file
+from flask import Blueprint, request, jsonify, send_file
 import subprocess
 import os
 import logging
 import uuid
-from dotenv import load_dotenv
+from flask import current_app
 
-# .envファイルを読み込む
-load_dotenv()
-
-app = Flask(__name__)
-
-# 環境変数から基本設定を取得
-VOICEPEAK_PATH = os.getenv('VOICEPEAK_PATH')
-PROJECT_PATH = os.getenv('PROJECT_PATH')
+bp = Blueprint('main', __name__)
 
 def _build_command_args(args):
     return [
@@ -26,7 +19,7 @@ def _build_command_args(args):
 
 def _synthesize_with_voicepeak(script, narrator, emotions, pitch, output_path, retries=3):
     args = {
-        'voicepeak_path': VOICEPEAK_PATH,
+        'voicepeak_path': current_app.config['VOICEPEAK_PATH'],
         'script': script,
         'narrator': narrator,
         'output_path': output_path,
@@ -52,7 +45,7 @@ def _synthesize_with_voicepeak(script, narrator, emotions, pitch, output_path, r
     logging.error(error_message)
     raise FileNotFoundError(error_message)
 
-@app.route('/generate_voice', methods=['POST'])
+@bp.route('/generate_voice', methods=['POST'])
 def generate_voice():
     try:
         data = request.json
@@ -70,7 +63,7 @@ def generate_voice():
         emotions = f"happy={emotion_happy},sad={emotion_sad},angry={emotion_angry},fun={emotion_fun}"
         
         unique_id = str(uuid.uuid4())
-        output_file = os.path.join(PROJECT_PATH, f'{unique_id}.wav')
+        output_file = os.path.join(current_app.config['PROJECT_PATH'], f'{unique_id}.wav')
         
         _synthesize_with_voicepeak(text, narrator, emotions, pitch, output_file)
 
@@ -82,6 +75,3 @@ def generate_voice():
     
     except Exception as e:
         return jsonify({'error': str(e)}), 500
-
-if __name__ == '__main__':
-    app.run(host='0.0.0.0', port=5000)

config.py

@@ -0,0 +1,30 @@
+import os
+from dotenv import load_dotenv
+
+load_dotenv()
+
+class Config:
+    VOICEPEAK_PATH = os.getenv('VOICEPEAK_PATH')
+    PROJECT_PATH = os.getenv('PROJECT_PATH')
+    
+    # 開発環境かどうかの判定
+    FLASK_ENV = os.getenv('FLASK_ENV', 'production')
+
+    @classmethod
+    def init_app(cls, app): 
+        # Flaskアプリケーションのデバッグモードを設定
+        app.debug = cls.FLASK_ENV == 'development'
+
+class DevelopmentConfig(Config):
+    # 開発環境時の設定: 今回は特になし
+    pass
+
+class ProductionConfig(Config):
+    # 本番環境時の設定: 今回は特になし
+    pass
+
+config = {
+    'development': DevelopmentConfig,
+    'production': ProductionConfig,
+    'default': Config
+}

requirements.txt

@@ -1,3 +1,4 @@
 Flask
 requests
 python-dotenv
+gunicorn

run_dev.sh

@@ -4,6 +4,6 @@
 source venv/bin/activate
 
 # Flaskアプリケーションを起動
-export FLASK_APP=app.py
+export FLASK_APP=app
 export FLASK_ENV=development
 flask run --host=0.0.0.0 --port=5000

run_prod.sh

@@ -0,0 +1,4 @@
+#!/bin/bash
+
+source venv/bin/activate
+gunicorn --workers 2 --bind 0.0.0.0:5000 wsgi:app

wsgi.py

@@ -0,0 +1,7 @@
+from app import create_app
+from config import config
+
+app = create_app(config['production'])
+
+if __name__ == "__main__":
+    app.run()