contract_missing_clausses.py

import openai
from PyPDF2 import PdfReader
import logging


# Configure logging
logging.basicConfig(
    filename='contract_missing_clausses.log',  # You can adjust the log file name here
    filemode='a',
    format='[%(asctime)s] [%(levelname)s] [%(filename)s] [%(lineno)s:%(funcName)s()] %(message)s',
    datefmt='%Y-%b-%d %H:%M:%S'
)
LOGGER = logging.getLogger(__name__)

log_level_env = 'INFO'  # You can adjust the log level here
log_level_dict = {
    'DEBUG': logging.DEBUG,
    'INFO': logging.INFO,
    'WARNING': logging.WARNING,
    'ERROR': logging.ERROR,
    'CRITICAL': logging.CRITICAL
}
if log_level_env in log_level_dict:
    log_level = log_level_dict[log_level_env]
else:
    log_level = log_level_dict['INFO']
LOGGER.setLevel(log_level)

class ContractMissingClauses:

  """
  Class for identifying missing clauses, sub-clauses, and terms in a contract.
  """

  def __init__(self):

      """
      Initialize the ContractMissingClauses class and set up the OpenAI API client.
      """

      # openai.api_type = os.getenv['api_type']
      # openai.api_base = os.getenv['api_base']
      # openai.api_version = os.getenv['api_version']
      # openai.api_key = os.getenv['api_key']
      pass
      
  def get_missing_clauses(self, contract: str):

      """
      Generate and print missing clauses, sub-clauses, and terms in the given contract.

      Args:
          contract (str): The text of the contract.
      """
      try:
            LOGGER.info("Analyzing contract and extracting missing clauses...")
            # Generate text using the OpenAI GPT-3 model
            conversation = [
                            {"role": "system", "content": "You are a helpful incomplete sentences finder"},
                            {"role": "user", "content": f"""list out the incomplete sentences in the following text: {text}"""}
                            ]
                        
            # Call OpenAI GPT-3.5-turbo
            chat_completion = openai.ChatCompletion.create(
                                  engine="ChatGPT",
                                  messages = conversation,
                                  temperature=0.7,
                                  max_tokens=800,
                                  top_p=0.95,
                                  frequency_penalty=0,
                                  presence_penalty=0,
                                  stop=None
                                )
            response = chat_completion.choices[0].message.content
            return response

      except Exception as e:
            # If an error occurs during the key-value extraction process, log the error
            LOGGER.error(f"Error occurred while extracting missing clauses: {str(e)}")

      
  def iterate_each_page(self,pdf_file):

    """
    Iterate through each page of a PDF contract, extract text, and call get_missing_clauses for each page.
    """

    try:

      LOGGER.info("Analyzing contract and extracting pdf page...")
        
      result = ''
        
      pdf = PdfReader(pdf_file_path.name)
        
      # Extract text from each page and pass it to the process_text function
      for page_number in range(len(pdf.pages)):

        # Extract text from the page
        page = pdf.pages[page_number]
        text = page.extract_text()
        result += self.get_missing_clauses(contract)
    
      return result
        
    except Exception as e:
            # If an error occurs during the key-value extraction process, log the error
            LOGGER.error(f"Error occurred while extracting pdf page: {str(e)}")