theDestI

{
  "name": "Udemy Opinion",
  "description": "Pulls the latest comments for every course on Udemy",
  "version": "1.0",
  "manifest_version": 3,
  "action": {
      "default_popup": "index.html",
      "default_title": "Get the latest comments on your courses"
  },
  "icons": {

theDestI

"""https://www.udemy.com/api-2.0/courses/4202866/reviews/?courseId=4202866
&page=1&is_text_review=1&ordering=course_review_score__rank,-created
&fields[course_review]=content,rating
&fields[course_review_response]=@min,user"""

theDestI

version: '3'

services:
  flask-api:
    build: api
    command: [ "flask", "run" ]
    environment:
      - FLASK_APP=app.py
      - FLASK_ENV=development
      - FLASK_DEBUG=1

theDestI

import React from 'react';
import axios from 'axios';

import {
  Chart as ChartJS,
  CategoryScale,
  LinearScale,
  PointElement,
  LineElement,
  Title,

theDestI

import flask
from flask_cors import CORS, cross_origin

import os
import pandas as pd
from peewee import *

import json
from playhouse.db_url import connect
from playhouse.shortcuts import model_to_dict

theDestI

import pandas as pd
from datetime import datetime

import os
import time
import requests

from db.insert_records import insert_records
from tools.telegram import send_telegram_notification

theDestI

import pandas as pd
import os
import psycopg2

DATABASE_URL = os.environ.get('DATABASE_URL')

conn = None

def insert_records(records):
    sql = "INSERT INTO records(address, balance, insert_time) VALUES(%s, %s, %s)"

theDestI

import psycopg2, os

DATABASE_URL = os.environ.get('DATABASE_URL')

conn = None

try:
    conn = psycopg2.connect(DATABASE_URL)

    cur = conn.cursor()

theDestI

import requests
import os

from dotenv import load_dotenv

def send_telegram_notification(message):
    load_dotenv()

    BOT_API_KEY = os.getenv("BOT_API_KEY")
    url = 'https://api.telegram.org/bot{BOT_API_KEY}/sendMessage'

theDestI

def plot_ewm(df, column, span, figsize = (13, 10), ax = None):
    """
    Plots the exponential moving average of a series.
    """
    plt.figure(figsize=figsize)

    if ax == None:
        ax = plt.gca()

    ewm = get_exponential_moving_average_over_period(df, column, span)