Update patent_downloader.py
Browse files- patent_downloader.py +105 -139
patent_downloader.py
CHANGED
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from typing import List, Union, Optional
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import os
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import requests
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import
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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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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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"""
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self.verbose = verbose
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self.chrome_path = self.install_chrome()
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def
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"""
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Download
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Returns
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-------
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str
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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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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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"""
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Download a single patent PDF.
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"""
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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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print(
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@staticmethod
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def
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"""
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Extract the PDF link from
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"""
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return None
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"""
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Ensure the output directory exists.
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"""
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if not os.path.exists(directory):
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os.makedirs(directory)
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from typing import List, Union, Optional
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import os
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import requests
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import tempfile
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from bs4 import BeautifulSoup
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class PatentDownloader:
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"""
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A class to automate downloading patent PDFs from Google Patents.
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"""
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base_url = "https://patents.google.com/patent"
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def __init__(self, verbose: bool = False):
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"""
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Initialize the downloader.
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Parameters
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----------
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verbose : bool
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If True, print detailed debug information.
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"""
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self.verbose = verbose
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def download(self, patents: Union[str, List[str]], output_path: Optional[str] = None) -> List[str]:
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"""
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Download single or multiple patent PDFs.
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Parameters
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----------
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patents : str or List[str]
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Single patent number or a list of patent numbers.
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output_path : Optional[str]
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Directory to save the PDFs. Defaults to a temporary directory.
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Returns
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-------
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List[str]
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List of paths to the downloaded PDFs.
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"""
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if isinstance(patents, str):
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patents = [patents]
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# Use a temporary directory if no output path is provided
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output_dir = output_path or tempfile.gettempdir()
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os.makedirs(output_dir, exist_ok=True)
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downloaded_files = []
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for i, patent in enumerate(patents):
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try:
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if self.verbose:
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print(f"π Downloading {i+1}/{len(patents)}: {patent}")
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file_path = self._download_single_pdf(patent, output_dir)
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downloaded_files.append(file_path)
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print(f"β
Successfully downloaded: {file_path}")
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except Exception as e:
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print(f"β Failed to download {patent}: {e}")
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return downloaded_files
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def _download_single_pdf(self, patent_number: str, output_dir: str) -> str:
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"""
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Download a single patent PDF.
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Parameters
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----------
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patent_number : str
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The patent number (e.g., "US8676427B1").
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output_dir : str
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Directory to save the PDF.
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Returns
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-------
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str
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Path to the downloaded PDF file.
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"""
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# Construct the Google Patents URL
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patent_url = f"{self.base_url}/{patent_number}/en"
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if self.verbose:
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print(f"Fetching patent page: {patent_url}")
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# Fetch the HTML content of the patent page
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response = requests.get(patent_url)
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if response.status_code != 200:
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raise Exception(f"Failed to fetch patent page for {patent_number}. HTTP Status: {response.status_code}")
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# Parse the HTML content and extract the PDF link
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soup = BeautifulSoup(response.content, "html.parser")
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pdf_url = self._extract_pdf_link(soup)
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if not pdf_url:
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raise Exception(f"No PDF link found for patent {patent_number}.")
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if self.verbose:
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print(f"Found PDF link: {pdf_url}")
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# Download the PDF file
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pdf_response = requests.get(pdf_url)
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if pdf_response.status_code != 200:
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raise Exception(f"Failed to download PDF for {patent_number}. HTTP Status: {pdf_response.status_code}")
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# Save the PDF to the specified output directory
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file_path = os.path.join(output_dir, f"{patent_number}.pdf")
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with open(file_path, "wb") as pdf_file:
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pdf_file.write(pdf_response.content)
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return file_path
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@staticmethod
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def _extract_pdf_link(soup: BeautifulSoup) -> Optional[str]:
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"""
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Extract the PDF link from the page's metadata.
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Parameters
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----------
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soup : BeautifulSoup
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Parsed HTML content of the patent page.
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Returns
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-------
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Optional[str]
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The direct PDF link if found.
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"""
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# Look for the 'citation_pdf_url' meta tag
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pdf_meta = soup.find("meta", {"name": "citation_pdf_url"})
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if pdf_meta and pdf_meta.get("content"):
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return pdf_meta["content"]
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# Fallback: search for any <a> tag containing '.pdf' in its href
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pdf_links = [a['href'] for a in soup.find_all("a", href=True) if a['href'].endswith(".pdf")]
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if pdf_links:
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return pdf_links[0] # Return the first matching PDF link
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return None
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