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api.py
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api.py
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from flask import Flask, render_template, redirect, url_for, request
import pandas as pd
import numpy as np
app = Flask( __name__)
@app.route( '/home')
def index():
# get data
df = pd.read_csv('data_experiment.csv')
df['no_click'] = df['visit'] - df['click']
click_array = df.groupby('group').sum().reset_index()[['click', 'no_click']].T.to_numpy()
# Thompson Agent
prob_reward = np.random.beta( click_array[0], click_array[1])
if np.argmax(prob_reward) == 0:
return render_template( 'page01.html')
else:
return render_template( 'page02.html')
@app.route( '/yes', methods=['POST'] )
def yes_event():
df = pd.read_csv('data_experiment.csv')
if request.form['yescheckbox'] == 'red':
click = 1
visit = 1
group = 'treatment'
else:
click = 1
visit = 1
group = 'control'
df_raw = pd.DataFrame({'click': click, 'visit': visit, 'group':group}, index= [0])
df = pd.concat([df,df_raw])
df.to_csv('data_experiment.csv', index=False)
return redirect( url_for ( 'index') )
@app.route( '/no', methods=['POST'] )
def no_event():
df = pd.read_csv('data_experiment.csv')
if request.form['nocheckbox'] == 'red':
click = 0
visit = 1
group = 'treatment'
else:
click = 0
visit = 1
group = 'control'
df_raw = pd.DataFrame({'click': click, 'visit': visit, 'group':group}, index = [0])
df = pd.concat([df,df_raw])
df.to_csv('data_experiment.csv', index=False)
return redirect( url_for ( 'index') )
if __name__ == '__main__':
app.run(port=5000)