natyrix

import pandas as pd
import re
class Clean_Tweets:
    """
    The PEP8 Standard AMAZING!!!
    """

    def __init__(self, df: pd.DataFrame):
        self.df = df
        print('Clean_Tweets INSTANCE CREATED')

natyrix

import json
import pandas as pd
from textblob import TextBlob
import re


def read_json(json_file: str) -> list:
    """
    json file reader to open and read json files into a list
    Args:

natyrix

import unittest
import pandas as pd
import sys
import os

sys.path.append(os.path.abspath(os.path.join("../Twitter-Data-Analysis/")))

from extract_dataframe import read_json
from extract_dataframe import TweetDfExtractor
# For unit testing the data reading and processing codes,

natyrix

name: twitter-data-analysis

on:
  push:
    branches: [main]
  pull_request:
    branches: [main]

permissions:
  contents: read

natyrix

CREATE TABLE IF NOT EXISTS `TweetInformation` 
(
    `id` INT NOT NULL AUTO_INCREMENT,
    `created_at` TEXT NOT NULL,
    `source` VARCHAR(200) NOT NULL,
    `full_text` TEXT DEFAULT NULL,
    `polarity` FLOAT DEFAULT NULL,
    `subjectivity` FLOAT DEFAULT NULL,
    `language` TEXT DEFAULT NULL,
    `favorite_count` INT DEFAULT NULL,

natyrix

import os
import pandas as pd
import mysql.connector as mysql
from mysql.connector import Error

def DBConnect(dbName=None):
    """

    Parameters
    ----------

natyrix

import numpy as np
import pandas as pd
import streamlit as st
import altair as alt
from wordcloud import WordCloud
import plotly.express as px 
from textblob import TextBlob
from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer
import pickle
from  pages.plots import *

natyrix

import numpy as np
import pandas as pd
import streamlit as st
import altair as alt
from wordcloud import WordCloud
import plotly.express as px
from textblob import TextBlob
from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer
import pickle

natyrix

import unittest
import pandas as pd
import sys
import os

sys.path.append(os.path.abspath(os.path.join("../Twitter-Data-Analysis/")))

from extract_dataframe import read_json
from extract_dataframe import TweetDfExtractor
from clean_tweets_dataframe import Clean_Tweets

natyrix

class VectorbotPipeline():
    def __init__(self,user_id, indicator="sma",init_cash=1000, ema_value=0,stock='AMZN', fast_ma=10, slow_ma=50, start='2021-10-11', end='2022-10-11', period=None, fees=0.005, is_experiment=False):
        self.user_id = user_id
        self.init_cash = init_cash
        self.ema_value = ema_value
        self.indicator = indicator
        self.stock = stock
        self.fast_ma = fast_ma
        self.slow_ma = slow_ma
        self.start = start