auditqa/utils.py

import re
import logging
import json
from langchain.schema import (
    HumanMessage,
    SystemMessage,
)
import requests
from datetime import datetime
from uuid import uuid4

# TESTING DEBUG LOG
from auditqa.logging_config import setup_logging
setup_logging()
import logging
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)  # Ensure debug logging is enabled


# def save_logs(scheduler, JSON_DATASET_PATH, logs, feedback=None) -> None:
#     """ Every interaction with app saves the log of question and answer, 
#         this is to get the usage statistics of app and evaluate model performances.
#         Also saves user feedback (when provided).
#     """
#     if feedback:
#         logs["feedback"] = feedback #optional
        
#     with scheduler.lock:
#         with open(JSON_DATASET_PATH, 'a') as f:
#             json.dump(logs, f)
#             f.write("\n")
#     print("logging done")


import os
from pathlib import Path

def save_logs(JSON_DATASET_PATH: str, logs: dict, feedback: str = None) -> None:
    """ Every interaction with app saves the log of question and answer, 
        this is to get the usage statistics of app and evaluate model performances.
        Also saves user feedback (when provided).
    """
    try:
        # Create directory if it doesn't exist
        os.makedirs(os.path.dirname(JSON_DATASET_PATH), exist_ok=True)
        
        if feedback:
            logs["feedback"] = feedback
            logger.debug(f"Adding feedback to logs: {feedback}")
        
        with open(JSON_DATASET_PATH, 'a') as f:
            json.dump(logs, f)
            f.write("\n")
        logger.info(f"Successfully saved logs to {JSON_DATASET_PATH}")
    except Exception as e:
        logger.error(f"Failed to save logs to {JSON_DATASET_PATH}: {str(e)}")
        raise


def get_message_template(type, SYSTEM_PROMPT, USER_PROMPT):
    if type == 'NVIDIA':
        messages =  [{"role": "system", "content": SYSTEM_PROMPT},
                {"role":"user","content":USER_PROMPT}]
    elif type == 'DEDICATED':
        messages = [
                 SystemMessage(content=SYSTEM_PROMPT),
                 HumanMessage(content=USER_PROMPT),]
    else:
        messages = None
    
    return messages


def make_html_source(source,i):
    """
    takes the text and converts it into html format for display in "source" side tab
    """
    meta = source.metadata
    content = source.page_content.strip()

    name = meta['subtype']
    card = f"""
        <div class="card" id="doc{i}">
            <div class="card-content">
                <h2>Doc {i} - {meta['subtype']} - Page {int(meta['page'])}</h2>
                <p>{content}</p>
            </div>
            <div class="card-footer">
                <span>{name}</span>
                <a href="{meta['subtype']}#page={int(meta['page'])}" target="_blank" class="pdf-link">
                    <span role="img" aria-label="Open PDF">🔗</span>
                </a>
            </div>
        </div>
        """

    return card


def parse_output_llm_with_sources(output):
    # Split the content into a list of text and "[Doc X]" references
    content_parts = re.split(r'\[(Doc\s?\d+(?:,\s?Doc\s?\d+)*)\]', output)
    parts = []
    for part in content_parts:
        if part.startswith("Doc"):
            subparts = part.split(",")
            subparts = [subpart.lower().replace("doc","").strip() for subpart in subparts]
            subparts = [f"""<a href="#doc{subpart}" class="a-doc-ref" target="_self"><span class='doc-ref'><sup>{subpart}</sup></span></a>""" for subpart in subparts]
            parts.append("".join(subparts))
        else:
            parts.append(part)
    content_parts = "".join(parts)
    return content_parts

def get_client_ip(request=None):
    """Get the client IP address from the request context"""
    try:
        if request:
            # Try different headers that might contain the real IP
            ip = request.client.host
            # Check for proxy headers
            forwarded_for = request.headers.get('X-Forwarded-For')
            if forwarded_for:
                # X-Forwarded-For can contain multiple IPs - first one is the client
                ip = forwarded_for.split(',')[0].strip()
            
            logging.debug(f"Client IP detected: {ip}")
            return ip
    except Exception as e:
        logging.error(f"Error getting client IP: {e}")
    return "127.0.0.1"


def get_client_location(ip_address) -> dict | None:
    """Get geolocation info using ipapi.co"""
    # Add headers so we don't get blocked...
    headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
    }
    try:
        response = requests.get(
            f'https://ipapi.co/{ip_address}/json/',
            headers=headers,
            timeout=5
        )
        if response.status_code == 200:
            data = response.json()
            return {
                'city': data.get('city'),
                'region': data.get('region'),
                'country': data.get('country_name'),
                'latitude': data.get('latitude'),
                'longitude': data.get('longitude')
            }
        elif response.status_code == 429:
            logging.warning(f"Rate limit exceeded. Response: {response.text}")
            return None
        else:
            logging.error(f"Error: Status code {response.status_code}. Response: {response.text}")
            return None
            
    except requests.exceptions.RequestException as e:
        logging.error(f"Request failed: {str(e)}")
        return None