why request.body is empty? - python

I try to get data from a user:
class EchoWebSocket(tornado.websocket.WebSocketHandler):
def open(self):
print("WebSocket opened")
def on_message(self, message):
nom = self.get_argument("nom") # this will return an error, because nom is not found
# I then tried to retrieve the result of the body,
print(self.request.body) # nothing to show!
def on_close(self):
print("WebSocket closed")
client side:
$(document).ready(function() {
$("#frm").on("submit", function(e){
var formdata = $("#frm").serialize()
console.log(formdata) // gives _xsrf=2%7C0fc414f0%7Cf5e0bd645c867be5879aa239b5ce0dfe%7C1456505450&nom=sdfsdf
var ws = new WebSocket("ws://localhost:8000/websocket");
ws.onopen = function() {
ws.send(formdata);
};
ws.onmessage = function (evt) {
alert(evt.data);
};
e.preventDefault();
})
})
</script>
<form action="/websocket" method="post" id="frm">
{% raw xsrf_form_html() %}
<input type="text" name="nom" autofocus>
<button class="ui primary button">Envoyer</button>
</form>
I have tried a simple ajax way, and got:
class AjaxHandler(tornado.web.RequestHandler):
def post(self):
print self.request.body
#gives: _xsrf=2%7C0d466237%7Cf762cba35e040d228518d4feb74c7b39%7C1456505450&nom=hello+there
My question: How to get the user input using websocket?

A websocket message is not a new HTTP request. self.request (and related methods like self.get_argument()) refer to the HTTP request that opened the websocket and do not change when new messages arrive. Instead, the only thing you get with a websocket message is the message argument to on_message(). This contains the data that was sent by the javascript, and you must parse it yourself.
def on_message(self, message):
args = {}
tornado.httputil.parse_body_arguments("application/x-www-form-urlencoded", message, args, {})
print(args["nom"][0])
You may want to use JSON instead of form encoding for this; it is generally easier to work with when you don't need backwards-compatibility with plain HTML form submission.

Related

Python Flask Output to Webpage while processing continues [duplicate]

I have a view that generates data and streams it in real time. I can't figure out how to send this data to a variable that I can use in my HTML template. My current solution just outputs the data to a blank page as it arrives, which works, but I want to include it in a larger page with formatting. How do I update, format, and display the data as it is streamed to the page?
import flask
import time, math
app = flask.Flask(__name__)
#app.route('/')
def index():
def inner():
# simulate a long process to watch
for i in range(500):
j = math.sqrt(i)
time.sleep(1)
# this value should be inserted into an HTML template
yield str(i) + '<br/>\n'
return flask.Response(inner(), mimetype='text/html')
app.run(debug=True)
You can stream data in a response, but you can't dynamically update a template the way you describe. The template is rendered once on the server side, then sent to the client.
One solution is to use JavaScript to read the streamed response and output the data on the client side. Use XMLHttpRequest to make a request to the endpoint that will stream the data. Then periodically read from the stream until it's done.
This introduces complexity, but allows updating the page directly and gives complete control over what the output looks like. The following example demonstrates that by displaying both the current value and the log of all values.
This example assumes a very simple message format: a single line of data, followed by a newline. This can be as complex as needed, as long as there's a way to identify each message. For example, each loop could return a JSON object which the client decodes.
from math import sqrt
from time import sleep
from flask import Flask, render_template
app = Flask(__name__)
#app.route("/")
def index():
return render_template("index.html")
#app.route("/stream")
def stream():
def generate():
for i in range(500):
yield "{}\n".format(sqrt(i))
sleep(1)
return app.response_class(generate(), mimetype="text/plain")
<p>This is the latest output: <span id="latest"></span></p>
<p>This is all the output:</p>
<ul id="output"></ul>
<script>
var latest = document.getElementById('latest');
var output = document.getElementById('output');
var xhr = new XMLHttpRequest();
xhr.open('GET', '{{ url_for('stream') }}');
xhr.send();
var position = 0;
function handleNewData() {
// the response text include the entire response so far
// split the messages, then take the messages that haven't been handled yet
// position tracks how many messages have been handled
// messages end with a newline, so split will always show one extra empty message at the end
var messages = xhr.responseText.split('\n');
messages.slice(position, -1).forEach(function(value) {
latest.textContent = value; // update the latest value in place
// build and append a new item to a list to log all output
var item = document.createElement('li');
item.textContent = value;
output.appendChild(item);
});
position = messages.length - 1;
}
var timer;
timer = setInterval(function() {
// check the response for new data
handleNewData();
// stop checking once the response has ended
if (xhr.readyState == XMLHttpRequest.DONE) {
clearInterval(timer);
latest.textContent = 'Done';
}
}, 1000);
</script>
An <iframe> can be used to display streamed HTML output, but it has some downsides. The frame is a separate document, which increases resource usage. Since it's only displaying the streamed data, it might not be easy to style it like the rest of the page. It can only append data, so long output will render below the visible scroll area. It can't modify other parts of the page in response to each event.
index.html renders the page with a frame pointed at the stream endpoint. The frame has fairly small default dimensions, so you may want to to style it further. Use render_template_string, which knows to escape variables, to render the HTML for each item (or use render_template with a more complex template file). An initial line can be yielded to load CSS in the frame first.
from flask import render_template_string, stream_with_context
#app.route("/stream")
def stream():
#stream_with_context
def generate():
yield render_template_string('<link rel=stylesheet href="{{ url_for("static", filename="stream.css") }}">')
for i in range(500):
yield render_template_string("<p>{{ i }}: {{ s }}</p>\n", i=i, s=sqrt(i))
sleep(1)
return app.response_class(generate())
<p>This is all the output:</p>
<iframe src="{{ url_for("stream") }}"></iframe>
5 years late, but this actually can be done the way you were initially trying to do it, javascript is totally unnecessary (Edit: the author of the accepted answer added the iframe section after I wrote this). You just have to include embed the output as an <iframe>:
from flask import Flask, render_template, Response
import time, math
app = Flask(__name__)
#app.route('/content')
def content():
"""
Render the content a url different from index
"""
def inner():
# simulate a long process to watch
for i in range(500):
j = math.sqrt(i)
time.sleep(1)
# this value should be inserted into an HTML template
yield str(i) + '<br/>\n'
return Response(inner(), mimetype='text/html')
#app.route('/')
def index():
"""
Render a template at the index. The content will be embedded in this template
"""
return render_template('index.html.jinja')
app.run(debug=True)
Then the 'index.html.jinja' file will include an <iframe> with the content url as the src, which would something like:
<!doctype html>
<head>
<title>Title</title>
</head>
<body>
<div>
<iframe frameborder="0"
onresize="noresize"
style='background: transparent; width: 100%; height:100%;'
src="{{ url_for('content')}}">
</iframe>
</div>
</body>
When rendering user-provided data render_template_string() should be used to render the content to avoid injection attacks. However, I left this out of the example because it adds additional complexity, is outside the scope of the question, isn't relevant to the OP since he isn't streaming user-provided data, and won't be relevant for the vast majority of people seeing this post since streaming user-provided data is a far edge case that few if any people will ever have to do.
Originally I had a similar problem to the one posted here where a model is being trained and the update should be stationary and formatted in Html. The following answer is for future reference or people trying to solve the same problem and need inspiration.
A good solution to achieve this is to use an EventSource in Javascript, as described here. This listener can be started using a context variable, such as from a form or other source. The listener is stopped by sending a stop command. A sleep command is used for visualization without doing any real work in this example. Lastly, Html formatting can be achieved using Javascript DOM-Manipulation.
Flask Application
import flask
import time
app = flask.Flask(__name__)
#app.route('/learn')
def learn():
def update():
yield 'data: Prepare for learning\n\n'
# Preapre model
time.sleep(1.0)
for i in range(1, 101):
# Perform update
time.sleep(0.1)
yield f'data: {i}%\n\n'
yield 'data: close\n\n'
return flask.Response(update(), mimetype='text/event-stream')
#app.route('/', methods=['GET', 'POST'])
def index():
train_model = False
if flask.request.method == 'POST':
if 'train_model' in list(flask.request.form):
train_model = True
return flask.render_template('index.html', train_model=train_model)
app.run(threaded=True)
HTML Template
<form action="/" method="post">
<input name="train_model" type="submit" value="Train Model" />
</form>
<p id="learn_output"></p>
{% if train_model %}
<script>
var target_output = document.getElementById("learn_output");
var learn_update = new EventSource("/learn");
learn_update.onmessage = function (e) {
if (e.data == "close") {
learn_update.close();
} else {
target_output.innerHTML = "Status: " + e.data;
}
};
</script>
{% endif %}

How can I capture fastapi websocket messages without html/js?

Fastapi docs include a websocket example that receives data via html/javascript. Saving the script as main.py and running uvicorn main:app --reload, the example works as expected:
from fastapi import FastAPI, WebSocket
from fastapi.responses import HTMLResponse
app = FastAPI()
html = """
<!DOCTYPE html>
<html>
<head>
<title>Chat</title>
</head>
<body>
<h1>WebSocket Chat</h1>
<form action="" onsubmit="sendMessage(event)">
<input type="text" id="messageText" autocomplete="off"/>
<button>Send</button>
</form>
<ul id='messages'>
</ul>
<script>
var ws = new WebSocket("ws://localhost:8000/ws");
ws.onmessage = function(event) {
var messages = document.getElementById('messages')
var message = document.createElement('li')
var content = document.createTextNode(event.data)
message.appendChild(content)
messages.appendChild(message)
};
function sendMessage(event) {
var input = document.getElementById("messageText")
ws.send(input.value)
input.value = ''
event.preventDefault()
}
</script>
</body>
</html>
"""
#app.get("/")
async def get():
return HTMLResponse(html)
#app.websocket("/ws")
async def websocket_endpoint(websocket: WebSocket):
await websocket.accept()
while True:
data = await websocket.receive_text()
await websocket.send_text(f"Message text was: {data}")
How can I modify this example to write websocket messages to file without using any html/js? I'd like direct access to the incoming data (text/json) with python and I'm unable to capture it directly. Any additional info/clarity is appreciated.
So, probably in the comments I didn't explain myself well.
From what I understood you want to connect via python to your webserver with a websocket and log to file the messages the server sends to your python script on the client. In simpler terms, you need to mimic the html/js part via python.
TL;DR
The server is already there, you just need to connect to it.
Here's the code snippet that you have to copy and paste in a different file and run when the webserver is already running. Note that the webserver doesn't need to be changed, if not for the two line within the while True loop. These can go away and you may change them with something like await websocket.send_text("text")
import asyncio
import websockets
async def hello():
uri = "ws://localhost:8000/ws"
async with websockets.connect(uri) as websocket:
await websocket.send("Hello world!")
res = await websocket.recv()
print(res)
asyncio.get_event_loop().run_until_complete(hello())
I'm not sure what messages you need to write to file, but the code snippet above is working and is the basis for what you need.

How to read/process an audio file sent in a POST request to a Flask API?

I'm running a simple Flask backend that will process HTTP requests with audio files and read the data. Eventually I will like to read the data and have an ML model perform an inference with the audio data, but the first step is to simply read the data in the proper encoding format.
My code for the Flask app is below:
#app.route('/api/audio', methods=['GET', 'POST'])
def get_score():
if request.method == 'POST':
length = request.content_length
content_type = request.content_type
data = request.data
return f"""Content Type is {content_type} and data is {data} \n length is {length}"""
elif request.method == 'GET':
return 'get method received'
My test code on the client side generating the POST request is below:
def send_audio():
#print('attempting to send audio')
url = 'http://127.0.0.1:5000/api/audio'
with open('/Users/kaushikandra/laughter-detection/LaughDetection/crowd_laugh_1.wav', 'rb') as file:
data = {'uuid':'-jx-1', 'alarmType':1, 'timeDuration':10}
files = {'messageFile': file}
req = requests.post(url, files=files, json=data)
print(req.status_code)
print(req.text)
I get the following output from the server when I run the client script.
200
Content Type is multipart/form-data; boundary=d95c72e01bdfac029b16da2b8f144cbd and data is b''
length is 129722
I can see from the 200 status code that the flask app is correctly receiving the POST request, but when I try to read the data I get an empty b'' string. What is the proper method to use to decode the audio file? or is the problem with the way I'm sending the POST request in the client script?
I've looked at other questions on StackOverflow and they have mentioned to send the file as a part of the 'files' parameter in the POST request.
Try using request.files to get your audio file:
#app.route('/api/audio', methods=['GET', 'POST'])
def get_score():
if request.method == 'POST':
request.files['messageFile']
Also request.data is just an empty string if I recall. Use request.json() or request.get_json(force=True).
For those, who wants to save and process .wav or any files, you may use FileStorage.save.
main.py (Flask)
#app.route('/predict_with_db', methods=['POST'])
def predictWithDb():
if request.method == 'POST':
save_path = os.path.join(dirname, "temp.wav")
request.files['music_file'].save(save_path)
#continue processing...
index.html
<input id="music_file" name="music_file" type="file" accept=".mp3,.wav" class="hidden" />
form.js
var formData = new FormData();
const fp1 = $('#music_file').prop('files')[0];
formData.append('music_file', fp1, fp1.name);
$.ajax({
type: "POST",
url: "/predict",
data: formData,
processData: false,
contentType: false,
success: (result) => {
console.log(result);
},
error: (err) => {
console.log(err);
}
});

Is it possible to provide the user with status reports from Flask during a looping python function? [duplicate]

I have a view that generates data and streams it in real time. I can't figure out how to send this data to a variable that I can use in my HTML template. My current solution just outputs the data to a blank page as it arrives, which works, but I want to include it in a larger page with formatting. How do I update, format, and display the data as it is streamed to the page?
import flask
import time, math
app = flask.Flask(__name__)
#app.route('/')
def index():
def inner():
# simulate a long process to watch
for i in range(500):
j = math.sqrt(i)
time.sleep(1)
# this value should be inserted into an HTML template
yield str(i) + '<br/>\n'
return flask.Response(inner(), mimetype='text/html')
app.run(debug=True)
You can stream data in a response, but you can't dynamically update a template the way you describe. The template is rendered once on the server side, then sent to the client.
One solution is to use JavaScript to read the streamed response and output the data on the client side. Use XMLHttpRequest to make a request to the endpoint that will stream the data. Then periodically read from the stream until it's done.
This introduces complexity, but allows updating the page directly and gives complete control over what the output looks like. The following example demonstrates that by displaying both the current value and the log of all values.
This example assumes a very simple message format: a single line of data, followed by a newline. This can be as complex as needed, as long as there's a way to identify each message. For example, each loop could return a JSON object which the client decodes.
from math import sqrt
from time import sleep
from flask import Flask, render_template
app = Flask(__name__)
#app.route("/")
def index():
return render_template("index.html")
#app.route("/stream")
def stream():
def generate():
for i in range(500):
yield "{}\n".format(sqrt(i))
sleep(1)
return app.response_class(generate(), mimetype="text/plain")
<p>This is the latest output: <span id="latest"></span></p>
<p>This is all the output:</p>
<ul id="output"></ul>
<script>
var latest = document.getElementById('latest');
var output = document.getElementById('output');
var xhr = new XMLHttpRequest();
xhr.open('GET', '{{ url_for('stream') }}');
xhr.send();
var position = 0;
function handleNewData() {
// the response text include the entire response so far
// split the messages, then take the messages that haven't been handled yet
// position tracks how many messages have been handled
// messages end with a newline, so split will always show one extra empty message at the end
var messages = xhr.responseText.split('\n');
messages.slice(position, -1).forEach(function(value) {
latest.textContent = value; // update the latest value in place
// build and append a new item to a list to log all output
var item = document.createElement('li');
item.textContent = value;
output.appendChild(item);
});
position = messages.length - 1;
}
var timer;
timer = setInterval(function() {
// check the response for new data
handleNewData();
// stop checking once the response has ended
if (xhr.readyState == XMLHttpRequest.DONE) {
clearInterval(timer);
latest.textContent = 'Done';
}
}, 1000);
</script>
An <iframe> can be used to display streamed HTML output, but it has some downsides. The frame is a separate document, which increases resource usage. Since it's only displaying the streamed data, it might not be easy to style it like the rest of the page. It can only append data, so long output will render below the visible scroll area. It can't modify other parts of the page in response to each event.
index.html renders the page with a frame pointed at the stream endpoint. The frame has fairly small default dimensions, so you may want to to style it further. Use render_template_string, which knows to escape variables, to render the HTML for each item (or use render_template with a more complex template file). An initial line can be yielded to load CSS in the frame first.
from flask import render_template_string, stream_with_context
#app.route("/stream")
def stream():
#stream_with_context
def generate():
yield render_template_string('<link rel=stylesheet href="{{ url_for("static", filename="stream.css") }}">')
for i in range(500):
yield render_template_string("<p>{{ i }}: {{ s }}</p>\n", i=i, s=sqrt(i))
sleep(1)
return app.response_class(generate())
<p>This is all the output:</p>
<iframe src="{{ url_for("stream") }}"></iframe>
5 years late, but this actually can be done the way you were initially trying to do it, javascript is totally unnecessary (Edit: the author of the accepted answer added the iframe section after I wrote this). You just have to include embed the output as an <iframe>:
from flask import Flask, render_template, Response
import time, math
app = Flask(__name__)
#app.route('/content')
def content():
"""
Render the content a url different from index
"""
def inner():
# simulate a long process to watch
for i in range(500):
j = math.sqrt(i)
time.sleep(1)
# this value should be inserted into an HTML template
yield str(i) + '<br/>\n'
return Response(inner(), mimetype='text/html')
#app.route('/')
def index():
"""
Render a template at the index. The content will be embedded in this template
"""
return render_template('index.html.jinja')
app.run(debug=True)
Then the 'index.html.jinja' file will include an <iframe> with the content url as the src, which would something like:
<!doctype html>
<head>
<title>Title</title>
</head>
<body>
<div>
<iframe frameborder="0"
onresize="noresize"
style='background: transparent; width: 100%; height:100%;'
src="{{ url_for('content')}}">
</iframe>
</div>
</body>
When rendering user-provided data render_template_string() should be used to render the content to avoid injection attacks. However, I left this out of the example because it adds additional complexity, is outside the scope of the question, isn't relevant to the OP since he isn't streaming user-provided data, and won't be relevant for the vast majority of people seeing this post since streaming user-provided data is a far edge case that few if any people will ever have to do.
Originally I had a similar problem to the one posted here where a model is being trained and the update should be stationary and formatted in Html. The following answer is for future reference or people trying to solve the same problem and need inspiration.
A good solution to achieve this is to use an EventSource in Javascript, as described here. This listener can be started using a context variable, such as from a form or other source. The listener is stopped by sending a stop command. A sleep command is used for visualization without doing any real work in this example. Lastly, Html formatting can be achieved using Javascript DOM-Manipulation.
Flask Application
import flask
import time
app = flask.Flask(__name__)
#app.route('/learn')
def learn():
def update():
yield 'data: Prepare for learning\n\n'
# Preapre model
time.sleep(1.0)
for i in range(1, 101):
# Perform update
time.sleep(0.1)
yield f'data: {i}%\n\n'
yield 'data: close\n\n'
return flask.Response(update(), mimetype='text/event-stream')
#app.route('/', methods=['GET', 'POST'])
def index():
train_model = False
if flask.request.method == 'POST':
if 'train_model' in list(flask.request.form):
train_model = True
return flask.render_template('index.html', train_model=train_model)
app.run(threaded=True)
HTML Template
<form action="/" method="post">
<input name="train_model" type="submit" value="Train Model" />
</form>
<p id="learn_output"></p>
{% if train_model %}
<script>
var target_output = document.getElementById("learn_output");
var learn_update = new EventSource("/learn");
learn_update.onmessage = function (e) {
if (e.data == "close") {
learn_update.close();
} else {
target_output.innerHTML = "Status: " + e.data;
}
};
</script>
{% endif %}

post a file to flask url using ajax

I have a javascript method that reads the input file submitted via a form and tries to post its data to a flask url, which is supposed to read the posted data and return it with some amendments.
The HTML part:
<form id="form_1">
<input type="file" name="file_1" id="file_1">
<input type="submit" value="submit" id="regan">
</form>
The JS part:
$("#form_1").submit(function(e){
e.preventDefault(e);
var reader = new FileReader();
var line_data = $('#file_1').get(0);
if (line_data.files.length) {
var input_file = line_data.files[0];
reader.readAsText(input_file);
$(reader).on('load', function(e){
data_line = e.target.result;
$.ajax({
url:'url/validate/',
type:'POST',
data:{akey: data_line},
success:function(returned_data){console.log(returned_data);},
error:function(){console.log('sorry...');}
});
});
}
});
The Flask/Python part:
#app.route('/validate_line/')
def validate_line_data():
try:
data = request.form['akey']
except:
data = 'bad'
data = str(data)
return data+'was_received'
So far, its reading the submitted text file successfully in javascript, but it seems like its not posting via the ajax post method and giving an error url/validate/ 405 (METHOD NOT ALLOWED).
Any help would be great. Thanks.
For Flask to accept POST requests, you need to specify so in the decorator:
#app.route('/validate_line/', methods=['POST'])
If you want it to accept GET requests as well, change to
['GET', 'POST']

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