flask-restful

问题 I have a websocket that I access from python as below. I then want to expose this websocket (with slightly altered data) over a restful interface (it cannot be a websocket for my purposes), where a client can ping it, and should get the latest fully up to date information (each time the full dataset from the beginning). How can I avoid that the websocket from restarting each time the client pings the restful interface? The code looks as follows: websocket: class WebSocketExample: async def

问题 Context: I have a Flask application serving a resource POST /start . The logic to be executed involves a PyQt5 QWebEnginePage loading a URL and returning certain data about it. Problem: When the QApplication is executed (calling app.exec_() ) I get the warning: WARNING: QApplication was not created in the main() thread. and then the error: 2019-07-17 13:06:19.461 Python[56513:5183122] *** Assertion failure in +[NSUndoManager _endTopLevelGroupings], /BuildRoot/Library/Caches/com.apple.xbs

问题 Context: I have a Flask application serving a resource POST /start . The logic to be executed involves a PyQt5 QWebEnginePage loading a URL and returning certain data about it. Problem: When the QApplication is executed (calling app.exec_() ) I get the warning: WARNING: QApplication was not created in the main() thread. and then the error: 2019-07-17 13:06:19.461 Python[56513:5183122] *** Assertion failure in +[NSUndoManager _endTopLevelGroupings], /BuildRoot/Library/Caches/com.apple.xbs

问题 Context: I have a Flask application serving a resource POST /start . The logic to be executed involves a PyQt5 QWebEnginePage loading a URL and returning certain data about it. Problem: When the QApplication is executed (calling app.exec_() ) I get the warning: WARNING: QApplication was not created in the main() thread. and then the error: 2019-07-17 13:06:19.461 Python[56513:5183122] *** Assertion failure in +[NSUndoManager _endTopLevelGroupings], /BuildRoot/Library/Caches/com.apple.xbs

问题 class posts(db.Model): __tablename__ = "posts" id = db.Column(db.Integer, primary_key=True) name = db.Column(db.String(100)) postName = db.Column(db.String(100)) postDescription = db.Column(db.String(500)) postLike = db.Column(db.Integer) class postComment(db.Model): __tablename__ = "postComment" id = db.Column(db.Integer, primary_key=True) postID = db.Column(db.Integer) senderName = db.Column(db.String(20)) commentPost = db.Column(db.String(300)) class PostsSchema(ma.Schema): class Meta:

问题 I am trying to write a file sharing application that exposes a REST interface. The library I am using, Flask-RESTful only supports returning JSON by default. Obviously attempting to serve binary data over JSON is not a good idea at all. What is the most "RESTful" way of serving up binary data through a GET method? It appears possible to extend Flask-RESTful to support returning different data representations besides JSON but the documentation is scarce and I'm not sure if it's even the best

问题 I am trying to write a file sharing application that exposes a REST interface. The library I am using, Flask-RESTful only supports returning JSON by default. Obviously attempting to serve binary data over JSON is not a good idea at all. What is the most "RESTful" way of serving up binary data through a GET method? It appears possible to extend Flask-RESTful to support returning different data representations besides JSON but the documentation is scarce and I'm not sure if it's even the best

问题 I am new to experimenting with creating API's and I was interested to make an app that returns data in an XML format only on the API post request. The flask-restful code below is just a glorified version of how to do an XML response from the git repo examples to view. from simplexml import dumps from flask import make_response, Flask from flask_restful import Api, Resource def output_xml(data, code, headers=None): """Makes a Flask response with a XML encoded body""" resp = make_response(dumps

问题 I'm deploying a ML model for the first time. I'm using flask-restful to create a rest api and gunicorn as stand-alone WSGI.my project directory has only 2 files , ML_model.py and rApi.py. i installed gunicorn and ran the server using gunicorn -w 4 -b 127.0.0.1:5000 rApi:app and i'm able to use the restAPi. I see many things like .env , .config and wsgi.py files mentioned in tutorials available online. what am I missing. why do i need all those files if i can use the API already? 回答1: I see

问题 My Flask app(postgresql db) is working fine in local. I pushed my code to server and there I tried to run.py db migrate , it throws me these errors Traceback (most recent call last): File "run.py", line 11, in <module> create_app().run() File "/usr/local/lib/python2.7/dist-packages/flask_script/__init__.py", line 412, in run result = self.handle(sys.argv[0], sys.argv[1:]) File "/usr/local/lib/python2.7/dist-packages/flask_script/__init__.py", line 383, in handle res = handle(*args, **config)