import streamlit as st
import google.generativeai as genai
import os
import time
from dotenv import load_dotenv
from styles import get_custom_css, get_response_html_wrapper
from formulas import offer_formulas
import PyPDF2
import docx
from PIL import Image
import io

# Import the bullet generator
from bullets.generator import create_bullet_instruction
# Import the bonus generator
from bonuses.generator import create_bonus_instruction
# Import the offer instruction generator
from prompts import create_offer_instruction
# Import sophistication levels
from sophistication import sophistication_levels

# Set page to wide mode to use full width
st.set_page_config(layout="wide")

# Load environment variables
load_dotenv()

# Configure Google Gemini API
genai.configure(api_key=os.getenv('GOOGLE_API_KEY'))
model = genai.GenerativeModel('gemini-2.0-flash')

# Initialize session state variables if they don't exist
if 'submitted' not in st.session_state:
    st.session_state.submitted = False
if 'offer_result' not in st.session_state:
    st.session_state.offer_result = ""
if 'generated' not in st.session_state:
    st.session_state.generated = False

# Hide Streamlit menu and footer
st.markdown("""
<style>
#MainMenu {visibility: hidden;}
footer {visibility: hidden;}
header {visibility: hidden;}
</style>
""", unsafe_allow_html=True)

# Custom CSS
st.markdown(get_custom_css(), unsafe_allow_html=True)

# App title and description
st.markdown('<h1 style="text-align: center;">Great Offer Generator</h1>', unsafe_allow_html=True)
st.markdown('<h3 style="text-align: center;">Transform your skills into compelling offers!</h3>', unsafe_allow_html=True)

# Create two columns for layout - left column 40%, right column 60%
col1, col2 = st.columns([4, 6])

# Main input section in left column
with col1:
    # Define the generate_offer function first
    def handle_generate_button():  # Renamed to avoid conflict
        has_manual_input = bool(skills or product_service)
        has_file_input = bool(uploaded_file is not None and not is_image)
        has_image_input = bool(uploaded_file is not None and is_image)

        # Simple validation - check if we have at least one input type
        if not (has_manual_input or has_file_input or has_image_input):
            st.error('Por favor ingresa texto o sube un archivo/imagen')
            return
        
        st.session_state.submitted = True
        st.session_state.generated = False  # Reset generated flag
        
        # Store inputs based on what's available
        if has_manual_input:
            st.session_state.skills = skills if skills else ""
            st.session_state.product_service = product_service if product_service else ""
        
        if has_file_input:
            st.session_state.file_content = file_content
            
        if has_image_input:
            st.session_state.image_parts = image_parts
        
        # Set input type based on what's available
        if has_image_input:
            if has_manual_input:
                st.session_state.input_type = "manual_image"
            else:
                st.session_state.input_type = "image"
        else:
            if has_manual_input and has_file_input:
                st.session_state.input_type = "both"
            elif has_file_input:
                st.session_state.input_type = "file"
            elif has_manual_input:
                st.session_state.input_type = "manual"
        
        # Store common settings
        st.session_state.target_audience = target_audience
        st.session_state.temperature = temperature
        st.session_state.formula_type = formula_type
        st.session_state.sophistication_level = sophistication_level

    # Keep only the manual input tab
    with st.container():
        skills = st.text_area('💪 Tus Habilidades', height=70, 
                            help='Lista tus habilidades y experiencia clave')
        product_service = st.text_area('🎯 Producto/Servicio', height=70,
                                    help='Describe tu producto o servicio')
        
        # Generate button moved here - right after product/service
        st.button('Generar Oferta 🎉', on_click=handle_generate_button)  # Updated function name
    
    # Accordion for additional settings
    with st.expander('⚙️ Configuración Avanzada'):
        target_audience = st.text_area('👥 Público Objetivo', height=70,
                                    help='Describe tu cliente o público ideal')
        
        # Add sophistication level selector
        sophistication_level = st.selectbox(
            '🧠 Nivel de Sofisticación del Mercado',
            options=list(sophistication_levels.keys()),
            help='Selecciona el nivel de conocimiento que tiene tu público sobre soluciones similares'
        )
        
        # Add file/image uploader here
        uploaded_file = st.file_uploader("📄 Sube un archivo o imagen", 
                                        type=['txt', 'pdf', 'docx', 'jpg', 'jpeg', 'png'])
        
        if uploaded_file is not None:
            file_type = uploaded_file.name.split('.')[-1].lower()
            
            # Handle text files
            if file_type in ['txt', 'pdf', 'docx']:
                if file_type == 'txt':
                    try:
                        file_content = uploaded_file.read().decode('utf-8')
                    except Exception as e:
                        st.error(f"Error al leer el archivo TXT: {str(e)}")
                        file_content = ""
                    
                elif file_type == 'pdf':
                    try:
                        import PyPDF2
                        pdf_reader = PyPDF2.PdfReader(uploaded_file)
                        file_content = ""
                        for page in pdf_reader.pages:
                            file_content += page.extract_text() + "\n"
                    except Exception as e:
                        st.error(f"Error al leer el archivo PDF: {str(e)}")
                        file_content = ""
                        
                elif file_type == 'docx':
                    try:
                        import docx
                        doc = docx.Document(uploaded_file)
                        file_content = "\n".join([para.text for para in doc.paragraphs])
                    except Exception as e:
                        st.error(f"Error al leer el archivo DOCX: {str(e)}")
                        file_content = ""
                
                # Remove success message - no notification shown
                
                # Set file type flag
                # Initialize is_image variable
                is_image = False
            
            # Handle image files
            elif file_type in ['jpg', 'jpeg', 'png']:
                try:
                    image = Image.open(uploaded_file)
                    st.image(image, caption="Imagen cargada", use_container_width=True)
                    
                    image_bytes = uploaded_file.getvalue()
                    image_parts = [
                        {
                            "mime_type": uploaded_file.type,
                            "data": image_bytes
                        }
                    ]
                    
                    # Set file type flag
                    is_image = True
                except Exception as e:
                    st.error(f"Error al procesar la imagen: {str(e)}")
                    is_image = False
        
        # Selector de fórmula
        formula_type = st.selectbox(
            '📋 Tipo de Fórmula',
            options=list(offer_formulas.keys()),
            help='Selecciona el tipo de fórmula para tu oferta'
        )
        
        temperature = st.slider('🌡️ Nivel de Creatividad', min_value=0.0, max_value=2.0, value=1.0,
                            help='Valores más altos hacen que el resultado sea más creativo pero menos enfocado')

# Results column
# In the section where you're generating the offer
with col2:
    if st.session_state.submitted and not st.session_state.generated:
        with st.spinner('Creando tu oferta perfecta...'):
            # Use the create_offer_instruction function to generate the prompt
            target_audience_value = st.session_state.target_audience if hasattr(st.session_state, 'target_audience') and st.session_state.target_audience else 'General audience'
            
            # Get product_service from session state or use the current value
            product_service_value = st.session_state.product_service if hasattr(st.session_state, 'product_service') and st.session_state.product_service else product_service
            
            # Get skills from session state or use empty string
            skills_value = st.session_state.skills if hasattr(st.session_state, 'skills') and st.session_state.skills else ""
                
            # Preparar el contenido del archivo si existe
            file_content = ""
            if hasattr(st.session_state, 'file_content') and st.session_state.input_type in ["file", "both"]:
                file_content = st.session_state.file_content
                
            # Get the instruction using the formula
            instruction = create_offer_instruction(
                target_audience=target_audience_value,
                product_service=product_service_value,
                selected_formula_name=st.session_state.formula_type,
                file_content=file_content,
                skills=skills_value,
                sophistication_level=st.session_state.sophistication_level if hasattr(st.session_state, 'sophistication_level') else None
            )
                
            # Add instruction for generating benefit bullets based on the promise
            bullet_content = None
            if hasattr(st.session_state, 'file_content') and st.session_state.input_type in ["file", "both"]:
                bullet_content = st.session_state.file_content
                
            instruction += create_bullet_instruction(
                target_audience=target_audience_value,
                product_service=product_service_value,
                uploaded_content=bullet_content,
                skills=skills_value
            )
            
            # Add instruction for generating bonuses that complement the offer
            instruction += create_bonus_instruction(
                target_audience=target_audience_value,
                product_service=product_service_value,
                selected_formula_name=st.session_state.formula_type,
                uploaded_content=bullet_content,
                skills=skills_value
            )
            
            try:
                generation_config = genai.GenerationConfig(temperature=st.session_state.temperature)
                
                if "image" in st.session_state.input_type:
                    response = model.generate_content([instruction, st.session_state.image_parts[0]], generation_config=generation_config)
                else:
                    response = model.generate_content(instruction, generation_config=generation_config)
                
                # Get the response text
                response_text = response.text
                
                # Cuando procesas la respuesta del modelo para la Oferta Dorada
                if st.session_state.formula_type == "Oferta Dorada":
                                        
                    # Eliminar espacios al inicio de cada línea (indentación)
                    lines = response_text.split('\n')
                    lines = [line.lstrip() for line in lines]  # Elimina espacios al inicio de cada línea
                    
                    # Asegurarse de que no haya líneas en blanco extras que puedan afectar el formato
                    lines = [line for line in lines if line.strip()]
                    response_text = '\n\n'.join(lines)
                
                # Natural integration of product name in the response
                if hasattr(st.session_state, 'product_service') and st.session_state.product_service:
                    product_service_value = st.session_state.product_service
                    
                    # Split the text into lines to process each part of the formula
                    lines = response_text.split('\n')
                    
                    # Process each line for proper product name integration
                    for i in range(len(lines)):
                        # For the second line (usually the promise in ALL CAPS), make product name uppercase
                        if i == 1 and st.session_state.formula_type == "Oferta Dorada":
                            lines[i] = lines[i].upper()
                        
                        # Remove quotes around product name in all lines
                        lines[i] = lines[i].replace(f'"{product_service_value}"', product_service_value)
                        lines[i] = lines[i].replace(f"'{product_service_value}'", product_service_value)
                        
                        # Ensure product name is properly capitalized in benefit descriptions
                        if i >= 2 and "sistema" in lines[i].lower() and product_service_value.lower() not in lines[i].lower():
                            lines[i] = lines[i].replace("sistema", product_service_value, 1)
                        if i >= 2 and "método" in lines[i].lower() and product_service_value.lower() not in lines[i].lower():
                            lines[i] = lines[i].replace("método", product_service_value, 1)
                    
                    # Rejoin the lines
                    response_text = '\n'.join(lines)
                
                st.session_state.offer_result = response_text
                st.session_state.generated = True  # Mark as generated
                
            except Exception as e:
                st.error(f'Ocurrió un error: {str(e)}')
                st.session_state.submitted = False
    
    # Display results if we have an offer result
    if st.session_state.generated:
        # Remove the visualization mode option
        
        # Display the formatted result directly
        st.markdown(get_response_html_wrapper(st.session_state.offer_result), unsafe_allow_html=True)
        
        # Add a small space
        st.markdown('<div style="height: 15px;"></div>', unsafe_allow_html=True)
        
        # Apply the custom button style before rendering the download button
        st.markdown('<style>div.stDownloadButton > button {your-custom-styles-here}</style>', unsafe_allow_html=True)
        st.download_button(
            label="Descargar Oferta",
            data=st.session_state.offer_result,
            file_name="oferta_generada.txt",
            mime="text/plain"
        )

# Footer
st.markdown('---')
st.markdown('Made with ❤️ by Jesús Cabrera')

# Remove the duplicate functions at the bottom