"Connection was reset" error on flask server - python

I'm having an issue with dockers, I followed official docker tutorial to deploy a web app (and luckily a python/flask one) but when I tried to deploy my app when I come to the connection part it failed and reply "Connection was reset"
Code
import json
import threading
import thread
import io
from flask import Flask, render_template, request
from flask_socketio import SocketIO
# Global variables
app = Flask(__name__)
lock = threading.Semaphore(0)
IOCReplay.lock = lock
async_mode = None
socketio = SocketIO(app)
IOCReplay.socketio = socketio
#app.route("/")
def root():
return render_template('index.html')
#app.route("/dependencies")
def getDependencies():
data = ''
with open('./dependencies.json') as data_file:
data = json.load(data_file)
return json.dumps(data)
if __name__ == "__main__":
socketio.run(app, port=5000)
docker run -d -P guitest:1
6d95689601b8(...)
docker ps
CONTAINER ID IMAGE COMMAND
6d95689601b8 guitest:1 "python test.py"
CREATED STATUS PORTS NAMES
4 seconds ago Up 2 seconds 0.0.0.0:32771->5000/tcp loving_boyd
Dockerfile is OK.
Issue
And so when I'm logging into 0.0.0.0:32771 it says "Connection was reset"
I saw from docker FAQ that to correct this problem, i have to "change the service’s configuration on [my] localhost so that the service accepts requests from all IPs"

Ok I have solved all my problems! Thanks to #n2o
The problem was incorrect arguments for socketio.run(app)
Previous:
from flask import Flask, render_template, request
from flask_socketio import SocketIO
# Code here #
if __name__ == "__main__":
socketio.run(app, port=5000)
Fixed:
import os
from flask import Flask, render_template, request
from flask_socketio import SocketIO
# code here #
if __name__ == "__main__":
port = int(os.environ.get('PORT', 5000))
socketio.run(app, host='0.0.0.0', port=port)

Related

How can i invoke a flask endpoint directly from code without using requests

Hey everyone I was tasked a few days ago to create an API style application that listens over a TCP socket for some commands then return some responses mainly success/failures (i know it's dumb but it's the client request) since I have some validation/database stuff I thought of flask directly but I am still stuck on how I am going to invoke the specific endpoints in code directly. here is a small snippet on how I am imagining things would be
from flask import Flask
import threading
data = 'foo'
app = Flask(__name__)
#app.route("/SomeCommand")
def SomeCommand():
return { 'Some' : 'Response'}
def flaskThread():
app.run()
def TcpListenner():
# logic that listens over tcp socket then invoks the flask app
# I was thinking about calling app.something() from here
pass
if __name__ == "__main__":
flaskApp = threading.Thread(target=flaskThread)
flaskApp.start()
listenner = threading.Thread(target=TcpListenner)
listenner.start()
any help/ideas would be much appreciated, thank you
You can use flask_socketio with which the flask app and socket i.e. tcp listener both start together...
Based on what I've understood, you can do something like this:
That the client will first make a connection to the flask socket.
Then, to send a command to the flask app, the client will send a message to the flask socket with the command in its message.
The flask socket will be listening for messages. So when it receives a message for the specific command, then it emits a response based on that command to the socket which will then be received by the client.
Below is an example code for the flask socket app:
import eventlet
eventlet.monkey_patch()
from flask import Flask
from flask_socketio import SocketIO, send, emit
app = Flask(__name__)
socketio = SocketIO(app, cors_allowed_origins="*", logger=True, engineio_logger=True)
# other flask APIs can come here and can be called by the client...
def someCommandOneResponse(): # function that sends response to client when flask socket gets command 1
commandOneResponse = 'Success'
socketio.emit('message', commandOneResponse)
def someCommandTwoResponse(): # function that sends response to client when flask socket gets command 2
commandTwoResponse = 'Failure'
socketio.emit('message', commandTwoResponse)
#socketio.on('message') # when any command is received on the socket from the client
def handleMessage(cmd):
print('\nCommand Received: ' + cmd + '\n')
if( cmd == 'SomeCommand1' ): # if the client has sent a message for command 1
print('Got Some Command 1')
someCommandOneResponse()
elif( cmd == 'SomeCommand2' ): # if the client has sent a message for command 2
print('Got Some Command 2')
someCommandTwoResponse
send(cmd, broadcast=True)
if __name__ == '__main__':
socketio.run(app, port=3000) # starts the flask socket (tcp listener) as well as the flask app

Add Tensorboard server to Flask endpoint

I have a Flask App and a Tensorboad server. Is there a way by which I can map the Tensorboard server to one of the endpoints of Flask so that as soon as I hit that endpoint it triggers the Tensorboard server?
Flask application
from flask import Flask, jsonify, request
app = Flask(__name__)
#app.route('/hello-world', methods=['GET', 'POST'])
def say_hello():
return jsonify({'result': 'Hello world'})
if __name__ == "__main__":
app.run(host=host, port=5000)
Tensorboard server code:
from tensorboard.program import TensorBoard, setup_environment
def tensorboard_main(host, port, logdir):
configuration = list([""])
configuration.extend(["--host", host])
configuration.extend(["--port", port])
configuration.extend(["--logdir", logdir])
tensorboard = TensorBoard()
tensorboard.configure(configuration)
tensorboard.main()
if __name__ == "__main__":
host = "0.0.0.0"
port = "7070"
logdir = '/tmp/logdir'
tensorboard_main(host, port, logdir)
I tried creating an endpoint in Flask app and then added tensorboard_main(host, port, logdir) in the hope that if I hit the endpoint then the server will start but I got no luck.
I found out that to integrate a TensorBoard server into a larger Flask app, the best way would be to compose the applications at the WSGI level.
The tensorboard.program API allows us to pass a custom server
class. The signature here is that server_class should be a callable which takes the TensorBoard WSGI app and returns a server that satisfies the TensorBoardServer interface.
Hence the code is:
import os
import flask
import tensorboard as tb
from werkzeug import serving
from werkzeug.middleware import dispatcher
HOST = "0.0.0.0"
PORT = 7070
flask_app = flask.Flask(__name__)
#flask_app.route("/hello-world", methods=["GET", "POST"])
def say_hello():
return flask.jsonify({"result": "Hello world"})
class CustomServer(tb.program.TensorBoardServer):
def __init__(self, tensorboard_app, flags):
del flags # unused
self._app = dispatcher.DispatcherMiddleware(
flask_app, {"/tensorboard": tensorboard_app}
)
def serve_forever(self):
serving.run_simple(HOST, PORT, self._app)
def get_url(self):
return "http://%s:%s" % (HOST, PORT)
def print_serving_message(self):
pass # Werkzeug's `serving.run_simple` handles this
def main():
program = tb.program.TensorBoard(server_class=CustomServer)
program.configure(logdir=os.path.expanduser("~/tensorboard_data"))
program.main()
if __name__ == "__main__":
main()
You can use multiprocessing here: create one process for flask and another for tensorboard, then run it on the same host.
Code:
from multiprocessing import Process
from tensorboard.program import TensorBoard
from flask import Flask, jsonify
app = Flask(__name__)
def tensorboard_main(host, port, logdir):
configuration = list([""])
configuration.extend(["--host", host])
configuration.extend(["--port", port])
configuration.extend(["--logdir", logdir])
tensorboard = TensorBoard()
tensorboard.configure(configuration)
tensorboard.main()
def flask_main(app, host, port):
return app.run(host=host, port=port)
#app.route("/hello-world", methods=["GET", "POST"])
def say_hello():
return jsonify({"result": "Hello world"})
if __name__ == "__main__":
host = "0.0.0.0"
port_for_tensorboard = "7070"
port_for_flask = "5000"
logdir = "/tmp/logdir"
process_for_tensorboard = Process(target=tensorboard_main, args=(host, port_for_tensorboard, logdir))
process_for_flask = Process(target=flask_main, args=(app, host, port_for_flask))
process_for_tensorboard.start()
process_for_flask.start()
process_for_tensorboard.join()
process_for_flask.join()
If you want that inside flask endpoint tensorboard will be show some things, then you need to look at shared data from one process to another (think it would be more complicated than this example)

Flask app should not exit when I use os.killpg

I have a flask app with 3 functions, one of the function is in a subprocess, and I am killing that subprocess using os.killpg, but when the program executes os.killpg, the command is terminating the flask app itself. I want to just terminate the subprocess, not flask app.
Can you please help with this?
flask import Flask, Response, request, jsonify
import subprocess
import time
import os
import signal
app = Flask(__name__)
#app.route("/cam", methods=['POST'])
def cam():
cmd3 = "gst-launch-1.0 -v v4l2src ! video/x-raw,format=YUY2 !
videoconvert ! autovideosink"
process3 = subprocess.Popen(cmd3, shell = True)
time.sleep(1)
os.killpg(os.getpgid(process3.pid), signal.SIGTERM)
#app.route("/one", methods=['POST'])
def one():
" some commands
"
#app.route("/two", methods=['POST'])
def two():
" some commands
"
if __name__ == "__main__":
app.run(debug=True, host='0.0.0.0', port = 6005)

How to display the data in browser?

I want to send some data(hello world) using python socket io client to flask socket io...but nothing is displayed in browser
this is my client code
from socketIO_client import SocketIO, LoggingNamespace
def on_aaa_response(args):
print('on_aaa_response', args['data'])
socketIO = SocketIO('127.0.0.1', 5000)
socketIO.on('aaa_response', on_aaa_response)
socketIO.emit('aaa')
socketIO.wait(seconds=1)
this is my flask code
from flask import Flask, render_template
from flask_socketio import SocketIO, emit
app = Flask(__name__)
app.config['SECRET_KEY'] = 'secret!'
socketio = SocketIO(app)
#socketio.on('aaa')
def test_connect():
print("Welcome, aaa received")
emit('aaa_response', {'data': 'Server'})
#app.route('/')
def hello_world():
return 'Hello, World!'
if __name__ == '__main__':
socketio.run(app)

Send WebSocket message from Flask view

I'm trying to make a Flask app that uses WebSockets. The example from Flask-sockets works but how would I send a message from a regular view?
Similarly to how Flask-SocketIO use .emit() and .send()-methods.
In the example below (from the Flask-Sockets example) I would for instance like to be able to broadcast a message from the hello-view.
from flask import Flask
from flask_sockets import Sockets
app = Flask(__name__)
sockets = Sockets(app)
#sockets.route('/echo')
def echo_socket(ws):
while not ws.closed:
message = ws.receive()
ws.send(message)
#app.route('/')
def hello():
# How can I send a WebSocket message from here?
return 'Hello World!'
if __name__ == "__main__":
from gevent import pywsgi
from geventwebsocket.handler import WebSocketHandler
server = pywsgi.WSGIServer(('', 5000), app, handler_class=WebSocketHandler)
server.serve_forever()
You can use a global socket list of all client. Traverse all list and send message to all ws instance.
Example code;
from flask import Flask, render_template
from flask_sockets import Sockets
app = Flask(__name__)
sockets = Sockets(app)
ws_list = []
#sockets.route('/echo')
def echo_socket(ws):
ws_list.append(ws)
while not ws.closed:
message = ws.receive()
ws.send(message)
#app.route('/')
def hello():
# How can I send a WebSocket message from here?
return render_template('index.html')
#app.route('/send_message_to_all_client')
def broadcast():
for ws in ws_list:
if not ws.closed:
ws.send("broadcast message")
else:
# Remove ws if connection closed.
ws_list.remove(ws)
return "ok"
if __name__ == "__main__":
from gevent import pywsgi
from geventwebsocket.handler import WebSocketHandler
server = pywsgi.WSGIServer(('', 5000), app, handler_class=WebSocketHandler)
server.serve_forever()

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