import streamlit as st
from tantivy_search_agent import TantivySearchAgent
from agent_workflow import SearchAgent
import os
from typing import Optional, List
from dotenv import load_dotenv
import gdown

# Load environment variables
load_dotenv()

class SearchAgentUI:
    def __init__(self):
        self.tantivy_agent: Optional[TantivySearchAgent] = None
        self.agent: Optional[SearchAgent] = None
        self.index_path ="./index" # os.getenv("INDEX_PATH", "./index")
        # Google Drive folder ID for the index
        self.gdrive_index_id = os.getenv("GDRIVE_INDEX_ID", "1lpbBCPimwcNfC0VZOlQueA4SHNGIp5_t")

    def download_index_from_gdrive(self) -> bool:
        """Download index folder from Google Drive"""
        try:
            # Create a temporary zip file path
            zip_path = "index.zip"
            # Download the folder as a zip file
            url = f"https://drive.google.com/uc?id={self.gdrive_index_id}"
            gdown.download(url, zip_path, quiet=False)
            
            # Extract the zip file
            import zipfile
            with zipfile.ZipFile(zip_path, 'r') as zip_ref:
                zip_ref.extractall(".")
            
         
        except Exception as e:
            st.error(f"Failed to download index: {str(e)}")
            return False

    def get_available_providers(self, api_keys: dict) -> List[str]:
        """Get available providers without creating a SearchAgent instance"""
        temp_tantivy = TantivySearchAgent(self.index_path)
        temp_agent = SearchAgent(temp_tantivy, api_keys=api_keys)
        return temp_agent.get_available_providers()

    def initialize_system(self, api_keys: dict):
        try:
            # Check if index folder exists
            if not os.path.exists(self.index_path):
                st.warning("Index folder not found. Attempting to download from Google Drive...")
                if not self.download_index_from_gdrive():
                    return False, "שגיאה: לא ניתן להוריד את האינדקס", []
                st.success("Index downloaded successfully!")

            self.tantivy_agent = TantivySearchAgent(self.index_path)
            if self.tantivy_agent.validate_index():
                available_providers = self.get_available_providers(api_keys)
                if not available_providers:
                    return False, "שגיאה: לא נמצאו ספקי AI זמינים. אנא הזן מפתח API אחד לפחות.", []
                
                self.agent = SearchAgent(
                    self.tantivy_agent,
                    provider_name=st.session_state.get('provider', available_providers[0]),
                    api_keys=api_keys
                )
                return True, "המערכת מוכנה לחיפוש", available_providers
            else:
                return False, "שגיאה: אינדקס לא תקין", []
        except Exception as ex:
            return False, f"שגיאה באתחול המערכת: {str(ex)}", []

    def main(self):
        st.set_page_config(
            page_title="איתוריא",
            layout="wide",
            initial_sidebar_state="expanded"
        )

        # Enhanced RTL support and styling
        st.markdown("""
        <style>
            .stApp {
                direction: rtl;
            }
            .stTextInput > div > div > input {
                direction: rtl;
            }
            .stSelectbox > div > div > div {
                direction: rtl;
            }
            .stNumberInput > div > div > input {
                direction: rtl;
            }
            .search-step {
                border: 1px solid #e0e0e0;
                border-radius: 5px;
                padding: 10px;
                margin: 5px 0;
                background-color: #f8f9fa;
            }
            .document-group {
                border: 1px solid #e3f2fd;
                border-radius: 5px;
                padding: 10px;
                margin: 5px 0;
                background-color: #f5f9ff;
            }
            .document-item {
                border: 1px solid #e0e0e0;
                border-radius: 5px;
                padding: 10px;
                margin: 5px 0;
                background-color: white;
            }
            [data-testid="stSidebar"] {
                direction: rtl;
            }
        </style>
        """, unsafe_allow_html=True)
        
        st.session_state.api_keys = {
            'google': "",
            'openai': "",
            'anthropic': ""
            
        }



        # Sidebar settings
        with st.sidebar:
            st.title("הגדרות")
            
            # API Key Configuration
            st.subheader("הגדרת מפתחות API")
            
            # Google API Key
            google_key = st.text_input(
                "Google API Key",
                value=st.session_state.api_keys['google'],
                type="password",                
                key="google_key",
                help="הזן את מפתח ה-API של Google Gemini "
            )
            st.session_state.api_keys['google'] = google_key
            
            st.html('<small> ניתן להשיג מפתח <a href="https://aistudio.google.com/app/apikey">כאן</a> </small>', )
            
            # OpenAI API Key
            openai_key = st.text_input(
                "OpenAI API Key",
                value=st.session_state.api_keys['openai'],
                type="password",
                key="openai_key",
                help="הזן את מפתח ה-API של OpenAI"
            )
            st.session_state.api_keys['openai'] = openai_key 
            
                 
            st.html('<small> ניתן להשיג מפתח <a href="https://platform.openai.com/account/api-keys">כאן</a> </small> ', )
    
            
            # Anthropic API Key
            anthropic_key = st.text_input(
                "Anthropic API Key",
                value=st.session_state.api_keys['anthropic'],
                type="password",
                key="anthropic_key",
                help="הזן את מפתח ה-API של Anthropic Claude"
            )
            st.session_state.api_keys['anthropic'] = anthropic_key 
            
                 
            st.html('<small> ניתן להשיג מפתח <a href="https://console.anthropic.com/">כאן</a> </small>', )
    

            st.markdown("---")

        # Initialize system with current API keys
        success, status_msg, available_providers = self.initialize_system(st.session_state.api_keys)

        # Continue with sidebar settings
        with st.sidebar:
            if available_providers:
                if 'provider' not in st.session_state or st.session_state.provider not in available_providers:
                    st.session_state.provider = available_providers[0] if available_providers else None
                
                provider = st.selectbox(
                    "ספק בינה מלאכותית",
                    options=available_providers,
                    key='provider',
                    help="בחר את מודל הAI לשימוש (רק מודלים עם מפתח API זמין יוצגו)"
                )
                if self.agent:
                    self.agent.set_provider(provider)

            max_iterations = st.number_input(
                "מספר נסיונות מקסימלי",
                min_value=1,
                value=6,
                key='max_iterations'
            )
            
            results_per_search = st.number_input(
                "תוצאות לכל חיפוש",
                min_value=1,
                value=10,
                key='results_per_search'
            )

        # Main content area
        st.title("איתוריא")
        st.markdown("""                   
                    איתוריא היא מערכת חיפוש תורנית רב שלבית מבוססת בינה מלאכותית. היא משתמשת במודל שפה כדי ליצור שאילתת חיפוש, לדרג את התוצאות, ולסכם את התשובה הסופית. החיפוש מתבצע על המאגר של [אוצריא](https://www.otzaria.org/).
                    """)
        
        if success:
            st.success(status_msg)
        else:
            st.error(status_msg)

        # Search input
        query = st.text_input(
            "הכנס שאילתת חיפוש",
            disabled=not success,
            placeholder="הקלד את שאילתת החיפוש שלך כאן...",
            key='search_query'
        )

        # Search button
        if (st.button('חפש', disabled=not success) or query) and query!="" and self.agent:          
                try:
                    if 'steps' not in st.session_state:
                        st.session_state.steps = []
                    
                    steps_container = st.container()
                    answer_container = st.container()
                    sources_container = st.container()

                    with steps_container:
                        st.subheader("צעדי תהליך החיפוש")

                    def handle_step_update(step):
                        if 'final_result' in step:
                            final_result = step['final_result']
                            
                            with answer_container:
                                st.subheader("תשובה סופית")
                                st.info(final_result['answer'])

                            if final_result['sources']:
                                with sources_container:
                                    st.subheader("מסמכי מקור")
                                    st.markdown(f"נמצאו {len(final_result['sources'])} תוצאות")
                                    
                                    for i, source in enumerate(final_result['sources']):
                                        with st.expander(f"תוצאה {i+1}: {source['reference']} (ציון: {source['score']:.2f})"):
                                            st.write(source['text'])
 
                        else:
                            with steps_container:
                                step_number = len(st.session_state.steps) + 1
                                st.markdown(f"""
                                <div class='search-step'>
                                    <strong>צעד {step_number}. {step['action']}</strong>
                                </div>
                                """, unsafe_allow_html=True)
                                st.markdown(f"**{step['description']}**")
                                
                                if 'results' in step:
                                    documents = []
                                    
                                    for r in step['results']:
                                        if r['type'] == 'query':
                                            st.markdown("**שאילתת חיפוש:**")
                                            st.code(r['content'])
                                        
                                        elif r['type'] == 'document':
                                            documents.append(r['content'])
                                        
                                        elif r['type'] == 'evaluation':
                                            content = r['content']
                                            status = "✓" if content['status'] == 'accepted' else "↻"
                                            confidence = f"ביטחון: {content['confidence']}"
                                            if content['status'] == 'accepted':
                                                st.success(f"{status} {confidence}")
                                            else:
                                                st.warning(f"{status} {confidence}")
                                            if content['explanation']:
                                                st.info(content['explanation'])
                                        
                                        elif r['type'] == 'new_query':
                                            st.markdown("**ניסיון הבא:**")
                                            st.code(r['content'])
                                    
                                    # Display documents if any were found
                                    if documents:
                                        for i, doc in enumerate(documents):
                                            with st.expander(f"{doc['reference']} (ציון: {doc['score']:.2f})"):
                                                st.write(doc['highlights'][0])
                                    
                                st.markdown("---")
                            st.session_state.steps.append(step)

                    # Clear previous steps before starting new search
                    st.session_state.steps = []
                    
                    # Start the search process
                    self.agent.search_and_answer(
                        query=query,
                        num_results=results_per_search,
                        max_iterations=max_iterations,
                        on_step=handle_step_update
                    )

                except Exception as ex:
                    st.error(f"שגיאת חיפוש: {str(ex)}")

if __name__ == "__main__":
    app = SearchAgentUI()
    app.main()