83 lines
2.6 KiB
Python
83 lines
2.6 KiB
Python
import os
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import pandas as pd
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import ujson
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from selenium import webdriver
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from selenium.webdriver.common.by import By
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from selenium.webdriver.chrome.service import Service
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from webdriver_manager.chrome import ChromeDriverManager
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from selenium.webdriver.chrome.options import Options
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from dotenv import load_dotenv
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import sqlite3
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def save_json(data, file_path):
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with open(file_path, 'w') as file:
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ujson.dump(data, file)
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query_template = """
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SELECT
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name, sector
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FROM
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stocks
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WHERE
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symbol = ?
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"""
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def main():
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# Load environment variables
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con = sqlite3.connect('stocks.db')
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load_dotenv()
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url = os.getenv('DIVIDEND_KINGS')
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# Set up the WebDriver options
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options = Options()
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options.add_argument("--headless")
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options.add_argument("--no-sandbox")
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options.add_argument("--disable-dev-shm-usage")
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# Initialize the WebDriver
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service = Service(ChromeDriverManager().install())
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driver = webdriver.Chrome(options=options)
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try:
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# Fetch the website
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driver.get(url)
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# Find the table element
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table = driver.find_element(By.TAG_NAME, 'table')
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# Extract the table HTML
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table_html = table.get_attribute('outerHTML')
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# Use pandas to read the HTML table
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df = pd.read_html(table_html)[0]
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# Rename the columns
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df = df.rename(columns={
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'Symbol': 'symbol',
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'Company Name': 'name',
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'Stock Price': 'price',
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'% Change': 'changesPercentage',
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'Div. Yield': 'dividiendYield',
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'Years': 'years'
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})
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df = df.drop(columns=['No.'])
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# Convert the DataFrame to JSON
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data = ujson.loads(df.to_json(orient='records'))
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res = []
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for item in data:
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symbol = item['symbol']
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try:
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item['changesPercentage'] = round(float(item['changesPercentage'].replace('%','')),2)
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item['dividiendYield'] = round(float(item['dividiendYield'].replace('%','')),2)
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db_data = pd.read_sql_query(query_template, con, params=(symbol,))
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res.append({**item,'sector': db_data['sector'].iloc[0]})
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except Exception as e:
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pass
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# Save the JSON data
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if len(res) > 0:
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save_json(res, 'json/stocks-list/dividend-kings.json')
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finally:
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# Ensure the WebDriver is closed
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driver.quit()
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con.close()
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if __name__ == '__main__':
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main() |