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extract_tables.py
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extract_tables.py
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import os
import warnings
import time
import pandas as pd
import re
import platform
import datetime
import glob
# import chromedriver_binary
from collections import Counter
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from utils import arguements, init_logger, ROOT_PATH
"""
document.querySelectorAll("body > document:nth-child(1) > type:nth-child(1) > sequence:nth-child(1) > filename:nth-child(1) > description:nth-child(1) > text:nth-child(1) > div:nth-child(418) ~ div"
"""
def test_xpath_elements(
url: str,
xpath: str
) -> list:
args = arguements()
options = Options()
# options.binary_location = args.chrome_path
options.set_capability('goog:loggerPrefs', {'browser': 'ALL'})
options.add_argument("--verbose")
driver = webdriver.Chrome(executable_path=args.chrome_driver_path, options=options) if platform.system(
) == "Linux" else webdriver.Chrome(options=options)
driver.get(url)
tables = driver.find_elements(By.XPATH, value=xpath)
tables = sorted(tables, key=lambda table: table.location['y'])
if not os.path.exists(os.path.join(ROOT_PATH, args.cik, 'test_path')):
os.mkdir(os.path.join(ROOT_PATH, args.cik, 'test_path'))
for i, table in enumerate(tables):
table = malformed_table(table.get_attribute("outerHTML"))
dfs = pd.read_html(table.prettify(), displayed_only=False)
for df in dfs:
df.to_csv(os.path.join(ROOT_PATH, args.cik,
'test_path', f"test_{i}.csv"))
driver.close()
return tables
def get_xpath_elements(
driver: webdriver,
xpaths: list,
) -> list:
tables = []
for path in xpaths:
time.sleep(1)
tables.extend(driver.find_elements(By.XPATH, value=path))
# driver.execute('document.querySelectorAll("body > document:nth-child(1) > type:nth-child(1) > sequence:nth-child(1) > filename:nth-child(1) > description:nth-child(1) > text:nth-child(1) > div:nth-child(418) ~ div"')
logger.debug(f"GOT ELEMENTS - {tables}")
return tables
def get_table_date(
page_content: str
) -> str:
datetime_pattern = r'\b(?:January|February|March|April|May|June|July|August|September|October|November|December) \d{1,2}, \d{4}\b'
datetimes = re.findall(datetime_pattern, page_content)
count = Counter(datetimes)
table_date = count.most_common(1)
if not table_date:
return 'no_date_found'
return datetime.datetime.strptime(table_date[0][0], '%B %d, %Y').strftime('%Y%m%d')
def parse_link_element(
driver: webdriver,
) -> str:
iframe = driver.find_elements(By.CSS_SELECTOR, value='#ixvFrame')
if iframe:
time.sleep(1)
logger.debug(f"IFRAME - {iframe[0]}")
driver.switch_to.frame(iframe[0])
link_element = driver.find_elements(By.ID, value="menu-dropdown-link")
logger.debug(f"LINK ELEMENT - {link_element}")
if not link_element:
return None
driver.execute_script("arguments[0].click();", link_element[0])
form_element = driver.find_elements(By.ID, value='form-information-html')
logger.debug(f"FORM ELEMENT - {form_element}")
if not form_element:
return None
driver.execute_script("arguments[0].click();", form_element[0])
logger.debug(f"SWITCHING HANDLES - {driver.window_handles[-1]}")
time.sleep(1)
driver.switch_to.window(driver.window_handles[-1])
return driver.current_url
def malformed_table(
table: str
) -> BeautifulSoup:
soup = BeautifulSoup(table, 'lxml')
# If there's no <table> tag, wrap everything inside a table
if not soup.table:
new_table = soup.new_tag("table")
for tag in soup.find_all(True):
new_table.append(tag.extract())
soup.append(new_table)
return soup
def remove_duplicate_element(
elements: webdriver.remote.webelement.WebElement
) -> list:
ids = set()
unique_elements = []
for e in elements:
if e.id not in ids:
ids.add(e.id)
unique_elements.append(e)
return unique_elements
def main() -> None:
assert os.path.exists(f"urls/{args.cik}.csv"),"SCRAP LINKS FIRST"
warnings.simplefilter(action='ignore', category=FutureWarning)
# desired_dpi = 2.0
options = Options()
# options.add_argument("--no-sandbox")
# options.add_argument("--headless")
# options.add_experimental_option('excludeSwitches', ['enable-logging'])
# options.add_argument(f"--force-device-scale-factor={desired_dpi}")
# options.add_experimental_option("mobileEmulation", {"deviceMetrics": {"width": 1920, "height": 1080, "pixelRatio": 3.0}})
driver = webdriver.Chrome(executable_path=args.chrome_driver_path, options=options) if platform.system(
) == "Linux" else webdriver.Chrome(options=options)
# driver.set_window_size(1920, 1080)
table_title = "Schedule of Investments"
urls = pd.read_csv(os.path.join(ROOT_PATH, args.url_csv), index_col=False)
with open(args.x_path) as file:
gen_paths = [line.rstrip() for line in file.readlines()]
for i in range(urls.shape[0]):
_, table_date, url = urls.iloc[i]
# table_date, url = '2018-12-31', 'https://www.sec.gov/Archives/edgar/data/0001512931/000114420419012276/tv514438_10k.htm'
logger.info(f"DATETIMES - {table_date}")
if len(glob.glob(f"{args.cik}/{table_date}/*.csv")) > 0:
continue
logger.info(f"ACCESSING - {url}")
driver.get(url)
inline_url = parse_link_element(driver)
if inline_url is not None:
logger.info(f'FINAL URL - {inline_url}')
time.sleep(2)
driver.get(inline_url)
html_content = driver.page_source
out_path, spec_path = os.path.join(ROOT_PATH, args.cik, table_date), os.path.join(
ROOT_PATH, args.cik, table_date, 'spec_paths.txt')
if not os.path.exists(out_path):
os.mkdir(out_path)
logger.info(
f'SAVE FILE - {url.split("/")[-1].replace(".htm","")+".html"}')
html_to_file = os.path.join(ROOT_PATH, out_path, url.split(
'/')[-1].replace(".htm", "")+".html")
with open(html_to_file, "w", encoding='utf-8') as file:
file.write(BeautifulSoup(html_content, 'html.parser').prettify())
xpaths = gen_paths
tables = get_xpath_elements(driver, xpaths)
if os.path.exists(spec_path):
with open(spec_path) as file:
xpaths = [line.rstrip() for line in file.readlines()]
# spec_paths.extend(xpaths)
tables = get_xpath_elements(driver, xpaths)
logger.debug(f"USING XPATHS - {xpaths}")
tables = sorted(tables, key=lambda table: table.location['y'])
tables = remove_duplicate_element(tables)
if not os.path.exists(args.save_image_path):
os.mkdir(args.save_image_path)
for i, table in enumerate(tables):
if os.path.exists(os.path.join(ROOT_PATH, args.cik, table_date, f"{table_title.replace(' ','_')}_{i}.csv")):
continue
table = malformed_table(table.get_attribute("outerHTML"))
dfs = pd.read_html(table.prettify(), displayed_only=False)
if not dfs:
logger.debug(f"NO TABLES - {dfs}")
continue
dfs[0].to_csv(os.path.join(ROOT_PATH, args.cik, table_date,
f"{table_title.replace(' ','_')}_{i}.csv"), encoding='utf-8')
ss_path = os.path.join(args.save_image_path, table_date, f'soi_table_{i}.png')
if os.path.exists(ss_path) or not args.take_sc:
continue
if not os.path.exists(os.path.join(args.save_image_path, table_date)):
os.mkdir(os.path.join(args.save_image_path, table_date))
try:
logger.info(
f"Taking screenshot {ss_path}")
ss = table.screenshot(ss_path)
except Exception as e:
logger.info(e)
# break
driver.close()
return
if __name__ == "__main__":
"""
python .\extract_tables.py --cik 1501729 --url-csv urls/1501729.csv --x-path xpaths/1501729.txt
python .\extract_tables.py --cik 1396440 --url-csv urls/1396440.csv --x-path xpaths/1396440.txt
python .\extract_tables.py --cik 1422183 --url-csv urls/1422183.csv --x-path xpaths/1422183.txt
python .\extract_tables.py --cik 1490349 --url-csv urls/1490349.csv --x-path xpaths/1490349.txt
python .\extract_tables.py --cik 1379785 --url-csv urls/1379785.csv --x-path xpaths/1379785.txt
python .\extract_tables.py --cik 1490927 --url-csv urls/1490927.csv --x-path xpaths/1490927.txt
python .\extract_tables.py --cik 1418076 --url-csv urls/1418076.csv --x-path xpaths/1418076.txt
python .\extract_tables.py --cik 1544206 --url-csv urls/1544206.csv --x-path xpaths/1544206.txt
python .\extract_tables.py --cik 1370755 --url-csv urls/1370755.csv --x-path xpaths/1370755.txt
python .\extract_tables.py --cik 1326003 --url-csv urls/1326003.csv --x-path xpaths/1326003.txt
python .\extract_tables.py --cik 1580345 --url-csv urls/1580345.csv --x-path xpaths/1580345.txt
python .\extract_tables.py --cik 1535778 --url-csv urls/1535778.csv --x-path xpaths/1535778.txt
python .\extract_tables.py --cik 1487918 --url-csv urls/1487918.csv --x-path xpaths/1487918.txt
python extract_tables.py --cik 1512931 --url-csv urls/1512931.csv --x-path xpaths/1512931.txt --chrome-driver-path /home/tony/Desktop/My_repos/sec_filings/sec/lib/python3.7/site-packages/chromedriver_binary/chromedriver
python3 extract_tables.py --cik 1372807 --url-csv urls/1372807.csv --x-path xpaths/1372807.txt
python3 extract_tables.py --cik 1675033 --url-csv urls/1675033.csv --x-path xpaths/1675033.txt
python3 extract_tables.py --cik 3906 --url-csv urls/3906.csv --x-path xpaths/3906.txt
sudo apt install chromium-chromedrive
sudo apt-get install chromium-driver
"""
args = arguements()
logger = init_logger(args.cik)
main()
# test_xpath_elements(
# url='https://www.sec.gov/Archives/edgar/data/0001501729/000110465921102950/tm2124358-1_10q.htm',
# xpath='//div[font[contains(text(), "Schedule of Investments")]]/parent::div/parent::font/following-sibling::table'
# )