Proof of concept of using Flask to serve EEG.

client.py

import json
import numpy as np
import requests

for i in range(1000):
  # get some EEG samples
  r = requests.get('http://localhost:5000/eeg/%d' % i)
  S = np.fromstring(r.json['samples'].decode('base64'), np.float32)
  S.shape = r.json['shape']
  print 'Received:', r.json.keys(), S.shape
  
  # publish classification results
  probabilities = np.random.rand(3)
  r = requests.post('http://localhost:5000/prediction/%d' % i, 
    data=dict(probs=json.dumps(probabilities.tolist())))
  print 'Sent:', r

serve.py

import json
import numpy as np
from flask import Flask, request

app = Flask(__name__)
state = {}

@app.route('/')
def index():
  return r'Welcome. Try some <a href="eeg/1">JSON encoded EEG</a>.'


@app.route('/eeg/<int:offset>')
def data(offset):
  samples = np.random.randn(16, 10).astype(np.float32)
  return json.dumps(dict(
    offset=offset, format='float32',
    samples=samples.tostring().encode('base64'),
    shape=samples.shape))


@app.route('/prediction/<int:offset>', methods=['GET', 'POST'])
def prediction(offset):
  if request.method == 'POST':
    state[offset] = request.form['probs']
    return 'done.'
  else:
    return repr(state.get(offset, '?'))
  

if __name__ == '__main__':
  app.run()