Create test.py
Browse files
test.py
ADDED
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from typing import List, Union, Optional
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2 |
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import os
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import requests
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import re
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import time
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import shutil
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import subprocess
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import pandas as pd
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from selenium import webdriver
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from selenium.webdriver.common.keys import Keys
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from selenium.webdriver.chrome.service import Service
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from selenium.webdriver.chrome.options import Options
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from bs4 import BeautifulSoup
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from selenium.webdriver.common.by import By
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from selenium.webdriver.support.ui import WebDriverWait
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from selenium.webdriver.support import expected_conditions as EC
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import chromedriver_autoinstaller
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class PatentDownloader:
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url = "https://patents.google.com"
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def __init__(self, verbose: bool = False):
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"""
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Parameters
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----------
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verbose : bool
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Print additional debug information.
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"""
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self.verbose = verbose
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self.chrome_path = self.install_chrome()
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def install_chrome(self) -> str:
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"""
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Download and install Google Chrome dynamically.
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Returns
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-------
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str: Path to the Chrome binary.
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"""
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chrome_path = "/usr/bin/google-chrome"
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if not shutil.which("google-chrome"):
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print("Downloading and installing Google Chrome...")
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subprocess.run(
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"wget https://dl.google.com/linux/direct/google-chrome-stable_current_amd64.deb -O chrome.deb",
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shell=True,
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check=True,
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)
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subprocess.run(
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"apt-get update && apt-get install -y ./chrome.deb",
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shell=True,
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check=True,
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)
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os.remove("chrome.deb")
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if not shutil.which("google-chrome"):
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raise ValueError("Google Chrome installation failed!")
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return chrome_path
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def download(self, patent: Union[str, List[str]], output_path: str = "./",
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waiting_time: int = 10, remove_kind_codes: Optional[List[str]] = None) -> None:
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"""
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Download patent document(s) as PDF.
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"""
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if isinstance(patent, list) or os.path.isfile(patent):
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self.get_pdfs(patent, output_path, waiting_time, remove_kind_codes)
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else:
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self.get_pdf(patent, output_path, waiting_time, remove_kind_codes)
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def get_pdf(self, patent: str, output_path: str = "./", waiting_time: int = 10,
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remove_kind_codes: Optional[List[str]] = None) -> None:
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"""
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Download a single patent PDF.
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"""
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if remove_kind_codes:
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for kind_code in remove_kind_codes:
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patent = re.sub(kind_code + "$", "", patent)
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# Automatically install ChromeDriver
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chromedriver_autoinstaller.install()
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# Set up Chrome options
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chrome_options = Options()
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chrome_options.binary_location = self.chrome_path
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chrome_options.add_argument("--headless")
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chrome_options.add_argument("--no-sandbox")
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chrome_options.add_argument("--disable-dev-shm-usage")
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# Initialize Selenium WebDriver
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service = Service()
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driver = webdriver.Chrome(service=service, options=chrome_options)
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pdf_link = None # Ensure pdf_link is defined
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try:
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driver.get(self.url)
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# Wait for the search input field and interact with it
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print("Waiting for the search input field...")
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search_input_xpath = "//input[@aria-label='Search patents']"
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WebDriverWait(driver, 20).until(
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EC.presence_of_element_located((By.XPATH, search_input_xpath))
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)
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element = driver.find_element(By.XPATH, search_input_xpath)
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print("Search input field located.")
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element.send_keys(patent)
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element.send_keys(Keys.RETURN)
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# Wait for search results to load
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print("Waiting for search results to load...")
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WebDriverWait(driver, 20).until(
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EC.presence_of_element_located((By.TAG_NAME, "body"))
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)
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time.sleep(waiting_time)
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# Parse HTML and get the PDF link
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soup = BeautifulSoup(driver.page_source, "html.parser")
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pdf_link = self.get_pdf_link(soup, patent)
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except Exception as e:
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print(f"Error occurred: {e}")
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finally:
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driver.quit()
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# Download the PDF
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if pdf_link:
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validate_directory(output_path)
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pdf_content = requests.get(pdf_link).content
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with open(os.path.join(output_path, f"{patent}.pdf"), "wb") as file:
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file.write(pdf_content)
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print(f">>> Patent {patent} successfully downloaded <<<")
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else:
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print(f"Error: PDF link for patent {patent} not found!")
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def get_pdfs(self, patents: Union[List[str], str], output_path: str = "./",
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waiting_time: int = 10, remove_kind_codes: Optional[List[str]] = None) -> None:
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"""
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Download multiple patent PDFs from a list or file.
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"""
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if isinstance(patents, str):
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if patents.lower().endswith('csv'):
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df_patents = pd.read_csv(patents)
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patents = df_patents['patent_number'].to_list()
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elif patents.lower().endswith('txt'):
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with open(patents, 'r') as txt_file:
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patents = txt_file.read().splitlines()
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else:
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raise NotImplementedError(f'Unsupported file type: {patents}')
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for i, patent in enumerate(patents):
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print(len(patents) - i, "patent(s) remaining.")
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self.get_pdf(patent, output_path, waiting_time, remove_kind_codes)
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152 |
+
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153 |
+
@staticmethod
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154 |
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def get_pdf_link(soup: BeautifulSoup, patent: str) -> Optional[str]:
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155 |
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"""
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156 |
+
Extract the PDF link from parsed HTML.
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+
"""
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158 |
+
pdf_links = [link['href'] for link in soup.find_all('a', href=True) if link['href'].lower().endswith("pdf")]
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159 |
+
for link in pdf_links:
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if patent.lower() in link.lower():
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return link
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return None
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163 |
+
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164 |
+
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165 |
+
def validate_directory(directory: str) -> None:
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166 |
+
"""
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167 |
+
Ensure the output directory exists.
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168 |
+
"""
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169 |
+
if not os.path.exists(directory):
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+
os.makedirs(directory)
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