3 expert Flask answers researched from official documentation. Every answer cites authoritative sources you can verify.
Run Flask as a background process using nohup: 'nohup python app.py > app.log 2>&1 &'. This runs Flask in the background, logs output to app.log, and continues even if the terminal closes. The & symbol backgrounds the process. For the Flask app to be detectable by process monitoring tools, ensure your main file is named app.py and run it with 'python app.py' not 'flask run'. Add sleep 5 or sleep 10 after starting to allow the server to initialize before running tests.
Create a Flask API endpoint using @app.route decorator with methods=['POST']. Get JSON data with request.get_json(). Example:
from flask import Flask, request, jsonify
app = Flask(name)
@app.route('/api/endpoint', methods=['POST'])
def handle_post():
data = request.get_json()
if not data:
return jsonify({'error': 'No JSON provided'}), 400
# Process data
return jsonify({'result': 'success'}), 200
if name == 'main':
app.run(host='0.0.0.0', port=5000)
Run the app with the file named app.py for automatic discovery.
Name your Flask main file app.py for simple applications. This is the Flask convention and works automatically with 'flask run' without needing the --app flag. Flask automatically detects app.py or wsgi.py in the current directory. Never name your file flask.py as it conflicts with Flask itself. For testing and process detection, app.py is essential since many test frameworks check for 'app.py' in the process command line.