import openai
import gradio
import pandas as pd
from datetime import datetime
import gspread
from google.oauth2.service_account import Credentials
import requests
import json

openai.api_key = "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"

records = []
credentials = Credentials.from_service_account_file("credentials.json", scopes=["https://www.googleapis.com/auth/spreadsheets"])
client = gspread.authorize(credentials)
sheet = client.open_by_url("https://docs.google.com/spreadsheets/d/1FHxtlLoxuvMdE5l_NUrof7ECYkO3_EHDbbcz5Si8gqE/edit?usp=sharing").sheet1

def get_user_ip():
    try:
        response = requests.get("https://api.ipify.org?format=json")
        data = json.loads(response.text)
        return data["ip"]
    except:
        return None

def CustomChatGPT(user_input, user_name, user_email, user_agent):
    messages = []

    if not user_name:
        return "Please enter your name."

    user_message = f"{user_input} [USER_IDENTITY: {user_name}]"
    messages.append({"role": "user", "content": user_message})
    messages.append({"role": "system", "content": "As a specilised UK lawyer, specialised in startup regulation, you're currently in a confidential consultation with your client who is a startup. The startup has complete trust in your expertise and advice on AI regulation. Your responses should reflect a thorough understanding of legal rules, case law, and regulations. Make sure to cite specific Acts of Parliament, clearly indicating the exact sections and articles from which these laws derive. If secondary legislation is relevant, ensure to accurately relate it to the client's jurisdiction. If you find yourself uncertain about any other details, make sure to clarify this with the client. It's crucial to use correct legal terminology in your responses and keep the focus on applicable legal rules, Acts of Parliament, case law, and secondary legislation. Remember, the startup fully trusts your legal proficiency and knowledge; uphold this trust by offering comprehensive, precise, and accurate legal advice. Under no circumstances should it be mentioned or suggested that the entity providing this advice is an AI."})

    response = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",
        messages=messages
    )

    ChatGPT_reply = response["choices"][0]["message"]["content"]
    messages.append({"role": "assistant", "content": ChatGPT_reply})

    # Record keeping
    timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
    ip_address = get_user_ip()
    device_type = get_device_type(user_agent)
    session_duration = ""  # Calculate session duration
    features_used = ""  # Track features used
    num_queries = ""  # Count number of queries
    num_documents_created = ""  # Count number of documents created
    clickstream_data = ""  # Track clickstream data
    interaction_patterns = ""  # Track user interface interaction patterns
    success_of_advice = ""  # Measure success of advice
    user_satisfaction_rate = ""  # Measure user satisfaction rate
    user_location = ""  # Capture user location
    industry_or_profession = ""  # Capture user industry or profession

    record = {
        "Timestamp": timestamp,
        "User Input": user_input,
        "User Identity": user_name,
        "User Email": user_email,
        "IP Address": ip_address,
        "Device Type": device_type,
        "Session Duration": session_duration,
        "Features Used": features_used,
        "Number of Queries": num_queries,
        "Number of Documents Created": num_documents_created,
        "Clickstream Data": clickstream_data,
        "Interaction Patterns": interaction_patterns,
        "Success of Advice": success_of_advice,
        "User Satisfaction Rate": user_satisfaction_rate,
        "User Location": user_location,
        "Industry or Profession": industry_or_profession,
        "Our AI Lawyer Reply": ChatGPT_reply
    }
    records.append(record)

    # Update Google Sheet
    row_values = [
        timestamp, user_input, user_name, user_email, ip_address, device_type, session_duration,
        features_used, num_queries, num_documents_created, clickstream_data, interaction_patterns,
        success_of_advice, user_satisfaction_rate, user_location, industry_or_profession, ChatGPT_reply
    ]
    sheet.append_row(row_values)

    return ChatGPT_reply

def get_device_type(user_agent):
    if user_agent and "mobile" in user_agent.lower():
        return "Mobile"
    elif user_agent and "tablet" in user_agent.lower():
        return "Tablet"
    else:
        return "Desktop"

def launch_interface():
    inputs = [
        gradio.inputs.Textbox(label="User Input", placeholder="Talk to your lawyer..."),
        gradio.inputs.Textbox(label="Your Name", placeholder="Enter your name"),
        gradio.inputs.Textbox(label="Your Email", placeholder="Enter your email")
    ]
    outputs = gradio.outputs.Textbox(label="Our AI Lawyer Reply")

    interface = gradio.Interface(fn=CustomChatGPT, inputs=inputs, outputs=outputs, title="Westminster AI", description="Welcome to Westminster AI. You are interacting with an Artificial Intelligent lawyer specialised in startup regulations. Please provide your name and talk in the user input box as if you were talking to your lawyer.")
    interface.launch()

if __name__ == "__main__":
    launch_interface()