from flask import Flask, request, jsonify
from flask_cors import CORS, cross_origin
import os
import re
import psycopg2
import requests
import time
app = Flask(__name__)
url = os.getenv("FRONTEND_URL_WITH_PORT")
cors = CORS(app, resources={r"/api/predict": {"origins": url},
                            r"/api/feedback": {"origins": url},
                            r"/api/dm": {"origins": url},
                            r"/health": {"origins": "*"}
                           })
users = {}

conn = psycopg2.connect(
	host="janet-pg",
        database=os.getenv("POSTGRES_DB"),
        user=os.getenv("POSTGRES_USER"),
        password=os.getenv("POSTGRES_PASSWORD"))

cur = conn.cursor()							

@app.route("/health", methods=['GET'])
def health():
    return "Success", 200

@app.route("/api/dm", methods=['POST'])
def init_dm():
    token = request.get_json().get("token")
    status = request.get_json().get("stat")
    if status == "start":
        message = {"stat": "waiting"}
    elif status == "set":
        headers = {"gcube-token": token, "Accept": "application/json"}
        if token not in users:
            url = 'https://api.d4science.org/rest/2/people/profile'
            response = requests.get(url, headers=headers)
            if response.status_code == 200:
                username = response.json()['result']['username']
                name = response.json()['result']['fullname']
                message = {"stat": "done"}
            else:
                message = {"stat": "rejected"}
        else:
            message = {"stat": "done"}
    return message
@app.route("/api/predict", methods=['POST'])
def predict():
    time.sleep(10)
    text = request.get_json().get("message")
    message = {"answer": "answer", "query": "text", "cand": "candidate", "history": "history", "modQuery": "modQuery"}
    reply = jsonify(message)
    return reply

@app.route('/api/feedback', methods = ['POST'])
def feedback():
    data = request.get_json().get("feedback")
    print(data)
    
    cur.execute('INSERT INTO feedback_experimental (query, history, janet_modified_query, is_modified_query_correct, user_modified_query, evidence_useful, response, preferred_response, response_length_feedback, response_fluency_feedback, response_truth_feedback, response_useful_feedback, response_time_feedback, response_intent) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)',
            (data['query'], data['history'], data['modQuery'],
             data['queryModCorrect'], data['correctQuery'], data['evidence'], data['janetResponse'], data['preferredResponse'], data['length'],
             data['fluency'], data['truthfulness'], data['usefulness'],
             data['speed'], data['intent'])
            )
    conn.commit()
    
    reply = jsonify({"status": "done"})
    return reply

if __name__ == "__main__":
    
    cur.execute('CREATE TABLE IF NOT EXISTS feedback_experimental (id serial PRIMARY KEY,'
                                 'query text NOT NULL,'
                                 'history text NOT NULL,'
                                 'janet_modified_query text NOT NULL,'
                                 'is_modified_query_correct text NOT NULL,'
                                 'user_modified_query text, evidence_useful text NOT NULL,'
				 'response text NOT NULL,'
                                 'preferred_response text,'
                                 'response_length_feedback text NOT NULL,'
                                 'response_fluency_feedback text NOT NULL,'
                                 'response_truth_feedback text NOT NULL,'
                                 'response_useful_feedback text NOT NULL,'
                                 'response_time_feedback text NOT NULL,'
                                 'response_intent text NOT NULL);'
                                 )
    conn.commit()
    
    app.run(host='0.0.0.0')