[0d34a1]: / server / app.py

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from flask import Flask, send_from_directory, request
from flask_cors import CORS
import json
import csv
import model
import os
os.chdir(__file__.replace(os.path.basename(__file__), ''))
app = Flask(__name__, static_folder='../client/build')
CORS(app)
TEST_CASE_DATA_PATH = "../model/data/raw_subset"
# Serve React App
@app.route('/', defaults={'path': ''})
@app.route('/<path:path>')
def serve(path):
if path != "" and os.path.exists(app.static_folder + '/' + path):
return send_from_directory(app.static_folder, path)
else:
return send_from_directory(app.static_folder, 'index.html')
@app.route('/predict', methods=['POST'])
def predict():
data = []
for feat in model.selected_feats:
data.append(request.json[feat])
result, prob = model.predict(data)
return json.dumps({
'res': result,
'prob': prob,
'labels': model.labels
})
@app.route('/test/<int:num>')
def test_case(num):
with open(f"{TEST_CASE_DATA_PATH}/BVP_{num}.csv", 'r') as f:
csvReader = csv.DictReader(f)
BVP = []
for rows in csvReader:
key = rows['seconds']
if rows['BVP']:
BVP.append({
"timestamp": round(int(key)/1000, 1),
"value": rows['BVP']
})
with open(f"{TEST_CASE_DATA_PATH}/EDA_{num}.csv", 'r') as f:
csvReader = csv.DictReader(f)
EDA = []
for rows in csvReader:
key = rows['seconds']
if rows['EDA']:
EDA.append({
"timestamp": round(int(key)/1000, 1),
"value": rows['EDA']
})
return json.dumps({
"BVP": BVP,
"EDA": EDA
})
@app.route('/testresult/<int:num>')
def test_result(num):
with open(f"test_results/test{num}.json", 'r') as f:
res = f.read()
res = json.dumps(res)
return res
if __name__ == '__main__':
app.run(use_reloader=True, host='0.0.0.0', port=80, threaded=True)