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
import os

openai.api_key = os.getenv("API_SECRET")

# Global variables
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/1wBxvW2-VQFbbVKxnUfyEgrqpgM9fEaUFNddLL2YQyng/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 validate_passcode(passcode, user_input, user_name, user_email, is_fintech_startup, region, profession):
    valid_passcodes = {
        "organization1": "r-muttukrishnan",
    }

    if not passcode:
        return "Please provide a passcode. Email contact@westminster.ai to request a passcode."

    passcode = passcode.lower()  # Convert the passcode to lowercase for case-insensitive comparison

    if passcode not in valid_passcodes.values():
        return "Incorrect passcode. Access denied. Email contact@westminster.ai to request a passcode."

    return CustomChatGPT(passcode, user_input, user_name, user_email, is_fintech_startup, region, profession)

def CustomChatGPT(passcode, user_input, user_name, user_email, is_fintech_startup, region, profession):
    if not (user_input and user_name and user_email and is_fintech_startup and region and profession):
        return "Please fill in all the input fields."

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

    messages = []

    user_message = f"{user_input} [USER_IDENTITY: {user_name}]"
    messages.append({"role": "user", "content": user_message})
    messages.append({"role": "system", "content": "As a specialized Sri Lanka lawyer, specialized in sri lanka national regulations and law, you're currently in a confidential consultation with your client. The client has complete trust in your expertise and advice 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. 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 client 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-4",
        messages=messages
    )

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

    timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
    ip_address = get_user_ip()

    record = {
        "Passcode": passcode,
        "Timestamp": timestamp,
        "User Input": user_input,
        "User Identity": user_name,
        "User Email": user_email,
        "IP Address": ip_address,
        "Profession": profession,
        "Our AI Lawyer Reply": ChatGPT_reply
    }
    records.append(record)

    sheet_data = pd.DataFrame(records)
    rows_to_append = sheet_data.iloc[len(records) - 1:][["Passcode", "Timestamp", "User Input", "User Identity", "User Email", "IP Address", "Fintech Startup", "Region", "Profession", "Our AI Lawyer Reply"]].values.tolist()

    if len(records) == 1:
        header = ["Passcode", "Timestamp", "User Input", "User Identity", "User Email", "IP Address", "Fintech Startup", "Region", "Profession", "Our AI Lawyer Reply"]
        sheet.insert_row(header, 1)

    sheet.append_rows(rows_to_append, value_input_option='USER_ENTERED')

    return ChatGPT_reply

def launch_interface():
    inputs = [
        gradio.inputs.Textbox(label="Organisation's Passcode", placeholder="Enter your organisation's passcode"),
        gradio.inputs.Textbox(label="Your Legal Query", 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"),
        gradio.inputs.Textbox(label="Profession", placeholder="Enter your profession")
    ]
    outputs = gradio.outputs.Textbox(label="Our AI Lawyer Reply")

    interface = gradio.Interface(
        fn=validate_passcode,
        inputs=inputs,
        outputs=outputs,
        title="Westminster AI: AI Lawyer",
        description="Specialised in Sri Lanka Law"
    )
    interface.launch()

if __name__ == "__main__":
    launch_interface()