Nsryjdtyk

Program:
I have designed a program in python that does the following (in order):

1. Webscrapes google trends for the most popular searches


2. Stores the searches and traffic of the searches in an in-memory database along with a timestamp


3. Finds the trends that no longer exist (I.E the trends that are no longer in googles top 20 most popular) and then searches the database for the rows in which the trend first appeared and when it disappeared in order to find how long it has been popular (I.E the duration the trend spent in googles top 20 most popular searches)

Context:
I have only been programming for a month now and my experience is entirely limited to python. As a result, I'm 100% certain that I'm using atrocious practices and my code is super inefficient. Hence, these are my two big concerns: 1) My program is extremely slow. 2) It's clunky and looks unpleasant to a professional.

Issues:
Here I will try to be as comprehensive as possible as to what I think is wrong with my program:

It is slow. Particularly in my third script (which corresponds to the third step) there is a giant block of code in the function inst_range. I used two while loops to search from either end of the table. If the program finds the search while counting up the rows it treats the search as the first instance of the search that exists. Likewise, if it finds the search going backwards through the table it treats it as the last instance of the search that exists. Then it computes the time between these two rows to find how long the search has been popular. What is the most efficient, clear way I could express this in my code while maintaining speed?

I use bad practices / it looks unappealing My third script is the main culprit again. It looks very clunky to me. When I look at really good github projects they are all so readable and nice. How do I apply that to my project? Another thing I worry about is alot of the complex stuff I don't yet understand. I.E caching, threading, and different types of sorting which I should probably be using but I don't know about. Sorry to tack this bit on as well, but should I be using more OOP in my program? Is it messed up?

The code:

trend_parser.py (corresponds to step 1)

import re

import requests

from bs4 import BeautifulSoup



def fetch_xml(country_code):

    """Initialises a request to the Google Trends RSS feed



    Returns:

        string: Unparsed html stored as a string for use by BeautifulSoup 

    """

    try: 

        url = f"https://trends.google.com/trends/trendingsearches/daily/rss?geo={country_code}" 

        response = requests.get(url)

        return response.content

    except requests.exceptions.ConnectionError:

        print("failed to connect")



def trends_retriever(country_code):

    """Parses the Google Trends RSS feed using BeautifulSoup.



    Returns:

        dict: Trend title for key, trend approximate traffic for value.

    """

    xml_document = fetch_xml(country_code) 

    soup = BeautifulSoup(xml_document, "lxml")

    titles = soup.find_all("title")

    approximate_traffic = soup.find_all("ht:approx_traffic")

    return {title.text: re.sub("[+,]", "", traffic.text)

        for title, traffic in zip(titles[1:], approximate_traffic)}

models.py (corresponds to step 2)

from trend_parser import trends_retriever

from flask import Flask

from datetime import datetime

import os 



from flask_sqlalchemy import SQLAlchemy



app = Flask(__name__)

app.config["SQLALCHEMY_TRACK_MODIFICATIONS"] = False

app.config["SQLALCHEMY_DATABASE_URI"] = "sqlite:///trends.sqlite3"

app.config["SECRET_KEY"] = os.urandom(16)



db = SQLAlchemy(app)



class trends(db.Model):



    id = db.Column(db.Integer, primary_key = True)

    title = db.Column(db.String, nullable = False)

    traffic = db.Column(db.Integer, nullable = False)

    time = db.Column(db.DateTime, nullable = False)



    def __init__(self):

        """These are the parameters that are passed on to the database"""

        self.title = f"{list(trends_retriever('US').keys())}"

        self.traffic = f"{list(trends_retriever('US').values())}"

        self.time = datetime.now()

database_crawler.py (corresponds to step 3)

from models import trends

import ast

import itertools



queried_titles = [ast.literal_eval(item.title) for item in trends.query.all()]

queried_time = [item.time for item in trends.query.all()]





def title_query():

    for index, item in enumerate(itertools.count()):

        try:

            first_row = set(queried_titles[index])

            second_row = set(queried_titles[index + 1])

            removed_trend = first_row - second_row

            yield removed_trend

        except IndexError:

            break





def inst_range():

    removed_trends = list(itertools.chain(*title_query()))

    row_count, row_count2 = 0, -1

    for item in removed_trends:

        while item not in queried_titles[row_count]:

            row_count += 1

        if item in queried_titles[row_count]:

            first_instance = row_count

            row_count = 0

        while item not in queried_titles[row_count2]:

            row_count2 -= 1

        if item in queried_titles[row_count2]:

            last_instance = len(queried_titles) - abs(row_count2)

            row_count2 = -1

        first_time = queried_time[first_instance]

        last_time = queried_time[last_instance]

        time_difference = (last_time - first_time).total_seconds() / 3600

        yield item, round(time_difference, 2)



print(dict(inst_range()))

Outputs:

Output of the third script (value corresponds to duration of staying in the top 20 searches, key corresponds to title of search)

{'Chiefs': 0.24, 'The Mule': 4.28, 'KFC Firelog': 0.62, 'Yeezy': 1.46, 

'Chiko Juan': 0.96, 'Dragon Ball Super: Broly full movie': 0.0, 'Roma': 

4.28, 'Imagine Ariana Grande': 4.28, 'Canelo vs Rocky': 4.28, 'Chiefs 

schedule': 4.28, 'Nfl playoff picture 2019': 0.0, 'Mick Mulvaney': 4.28, 

'Nancy Wilson': 4.28, 'Johnson and Johnson': 4.28, 'JWoww': 4.28, 

'Jabari Parker': 4.28, 'Chick-fil-A': 4.28, 'Fuller House': 2.82, 'Artie 

Lange': 4.28, 'Al Roker': 4.28, 'Obamacare': 0.0, 'Bill Fralic': 4.28, 

'Sandy Hook': 4.28, 'Aus vs Ind': 4.28, "Shareef O'Neal": 4.28, 

'Jennifer Lawrence': 0.0, 'Alcorn State': 0.0, 'Spider-Man Spider- 

Verse': 0.0, 'NFL scores': 0.0, 'Pete Davidson': 0.0, 'Chivas': 0.0, 

'Juventus': 0.0, 'NFL games': 0.0, 'Fresno State football': 0.0, 

'Browns': 0.0, 'Lakers vs Hornets': 0.0, 'Matt Damon': 0.0, 'DAZN': 0.0, 

'Stoney Westmoreland': 0.0, 'Canelo fight December 15, 2018': 0.0, 'UNC 

basketball': 0.0, 'NFL': 0.0, 'Texans': 0.0, 'Nebraska volleyball': 0.0, 

'NFL schedule': 0.0, 'Chicago Bears': 0.09, 'Offset Cardi B': 0.09, 

'Appalachian State football': 0.09, '76ers vs Cavaliers': 0.09}

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