import streamlit as st
import os
import openai
import json
import pandas as pd
from docx import Document
from concurrent.futures import ThreadPoolExecutor, as_completed
from dotenv import load_dotenv

# Load the OpenAI API key from environment variables
load_dotenv()
api_key = os.getenv("OPENAI_API_KEY")
openai.api_key = api_key

def extract_text_from_docx(docx_path):
    doc = Document(docx_path)
    return "\n".join([para.text for para in doc.paragraphs])

def extract_terms_from_contract(contract_text):
    prompt = (
        "You are an AI tasked with analyzing a contract and extracting key terms and constraints. The contract contains "
        "various sections and subsections with terms related to budget constraints, types of allowable work, timelines, "
        "penalties, responsibilities, and other conditions for work execution. Your job is to extract these key terms and "
        "structure them in a clear JSON format, reflecting the hierarchy of sections and subsections. "
        "Ensure to capture all important constraints and conditions specified in the contract text. If a section or subsection "
        "contains multiple terms, list them all.\n\n"
        "Contract text:\n"
        f"{contract_text}\n\n"
        "Provide the extracted terms in JSON format."
    )

    response = openai.ChatCompletion.create(
        model="gpt-4",
        messages=[
            {"role": "system", "content": "You are an AI specialized in extracting structured data from text documents."},
            {"role": "user", "content": prompt},
        ],
        max_tokens=4096,
        n=1,
        stop=None,
        temperature=0.1,
    )
    return response.choices[0].message["content"]

def analyze_task_compliance(task_description, cost_estimate, contract_terms):
    prompt = (
        "You are an AI tasked with analyzing a task description and its associated cost estimate for compliance with contract conditions. "
        "Below are the key terms and constraints extracted from the contract, followed by a task description and its cost estimate. "
        "Your job is to analyze the task description and specify if it violates any conditions from the contract. "
        "If there are violations, list the reasons for each violation.\n\n"
        f"Contract terms:\n{json.dumps(contract_terms, indent=4)}\n\n"
        f"Task description:\n{task_description}\n"
        f"Cost estimate:\n{cost_estimate}\n\n"
        "Provide the compliance analysis in a clear JSON format."
    )

    response = openai.ChatCompletion.create(
        model="gpt-4",
        messages=[
            {"role": "system", "content": "You are an AI specialized in analyzing text for compliance with specified conditions."},
            {"role": "user", "content": prompt},
        ],
        max_tokens=4096,
        n=1,
        stop=None,
        temperature=0.1,
    )
    
    # Parse the response to extract structured explanations
    response_content = response.choices[0].message["content"]
    compliance_analysis = json.loads(response_content)
    
    return compliance_analysis

def main():
    st.title("Contract Compliance Analyzer")

    # File upload buttons in the same row
    col1, col2 = st.columns(2)
    
    with col1:
        docx_file = st.file_uploader("Upload Contract Document (DOCX)", type="docx")
    
    with col2:
        xlsx_file = st.file_uploader("Upload Task Descriptions (XLSX)", type="xlsx")

    if docx_file and xlsx_file:
        # Extract contract text and terms
        contract_text = extract_text_from_docx(docx_file)
        extracted_terms_json = extract_terms_from_contract(contract_text)
        
        try:
            contract_terms = json.loads(extracted_terms_json)
        except json.JSONDecodeError as e:
            st.error(f"JSON decoding error: {e}")
            return

        # Read task descriptions and cost estimates from XLSX
        tasks_df = pd.read_excel(xlsx_file)

        compliance_results = []
        futures = []

        # Use ThreadPoolExecutor to analyze tasks concurrently
        with ThreadPoolExecutor(max_workers=10) as executor:  # Adjust max_workers as needed
            for _, row in tasks_df.iterrows():
                task_description = row['Task Description']
                cost_estimate = row['Amount']
                futures.append(executor.submit(analyze_task_compliance, task_description, cost_estimate, contract_terms))
            
            for future in as_completed(futures):
                try:
                    result = future.result()
                    compliance_results.append(result)
                except Exception as e:
                    st.error(f"An error occurred: {e}")

        col1, col2 = st.columns(2)

        with col1:
            st.write("Extracted Contract Terms:")
            st.json(contract_terms)
            
            # Download button for contract terms
            st.download_button(
                label="Download Contract Terms",
                data=json.dumps(contract_terms, indent=4),
                file_name="contract_terms.json",
                mime="application/json"
            )

        with col2:
            st.write("Compliance Results:")
            st.json(compliance_results)

            # Download button for compliance results
            compliance_results_json = json.dumps(compliance_results, indent=4)
            st.download_button(
                label="Download Compliance Results",
                data=compliance_results_json,
                file_name="compliance_results.json",
                mime="application/json"
            )

if __name__ == "__main__":
    main()