components.py

"""
UI Components for Traffic Accident Reconstruction System
========================================================
Reusable Streamlit components for the application.
"""

import streamlit as st
from config import CASE_STUDY_LOCATION, ALTERNATIVE_LOCATIONS


def render_sidebar():
    """Render the application sidebar."""
    
    with st.sidebar:
        # MindSpore Logo at the top
        try:
            st.image("assets/mindspore_logo.png", width=120)
        except:
            st.markdown("### 🤖 MindSpore")
        
        st.markdown("---")
        
        st.header("🚗 Accident Analyzer")
        
        st.markdown("""
        This system helps traffic authorities 
        understand accidents through:
        
        - **AI-powered** scenario generation
        - **Real map** visualization
        - **2D simulation** of accidents
        - **Probability analysis** of scenarios
        """)
        
        st.markdown("---")
        
        st.subheader("📍 Case Study Location")
        
        st.info(f"""
        **{CASE_STUDY_LOCATION['name']}**
        
        📍 {CASE_STUDY_LOCATION['city']}, {CASE_STUDY_LOCATION['country']}
        
        🗺️ Lat: {CASE_STUDY_LOCATION['latitude']:.4f}
        🗺️ Lng: {CASE_STUDY_LOCATION['longitude']:.4f}
        """)
        
        st.markdown("---")
        
        st.subheader("📚 Help")
        
        with st.expander("How to use"):
            st.markdown("""
            1. **Select Location**: View the roundabout location
            2. **Vehicle 1**: Enter first vehicle details and draw its path
            3. **Vehicle 2**: Enter second vehicle details and draw its path
            4. **Analyze**: Let AI generate possible scenarios
            5. **Results**: View scenarios with probability scores
            """)
        
        with st.expander("About MindSpore"):
            st.markdown("""
            This system uses **Huawei MindSpore** 
            for AI-powered scenario generation.
            
            MindSpore is an open-source deep 
            learning framework optimized for 
            Ascend processors.
            """)
        
        st.markdown("---")
        
        st.caption("Huawei AI Innovation Challenge 2026")


def render_header():
    """Render the application header."""
    
    st.markdown("""
    <div style="
        background: linear-gradient(135deg, #1e3a5f 0%, #2d5a87 100%);
        padding: 2rem;
        border-radius: 10px;
        color: white;
        margin-bottom: 2rem;
        text-align: center;
    ">
        <h1 style="margin: 0; font-size: 2.5rem;">🚗 Traffic Accident Reconstruction System</h1>
        <p style="margin: 0.5rem 0 0 0; opacity: 0.9;">AI-Powered Analysis using Huawei MindSpore</p>
    </div>
    """, unsafe_allow_html=True)


def render_footer():
    """Render the application footer."""
    
    st.markdown("---")
    
    col1, col2, col3 = st.columns([2, 1, 2])
    
    with col1:
        st.markdown("🏆 **Huawei AI Innovation Challenge 2026**")
    
    with col2:
        # MindSpore logo in the center of footer
        try:
            st.image("assets/mindspore_logo.png", width=80)
        except:
            st.markdown("**[M]**")
    
    with col3:
        st.markdown("🤖 **Powered by MindSpore AI Framework**")


def render_info_card(title: str, content: str, color: str = "#2d5a87"):
    """Render an information card."""
    
    st.markdown(f"""
    <div style="
        background: #f8f9fa;
        padding: 1.5rem;
        border-radius: 10px;
        border-left: 4px solid {color};
        margin: 1rem 0;
    ">
        <h4 style="margin: 0 0 0.5rem 0;">{title}</h4>
        <p style="margin: 0;">{content}</p>
    </div>
    """, unsafe_allow_html=True)


def render_metric_card(label: str, value: str, delta: str = None, color: str = "#2d5a87"):
    """Render a metric card."""
    
    delta_html = ""
    if delta:
        delta_color = "#28a745" if "+" in delta or "High" in delta else "#dc3545"
        delta_html = f'<span style="color: {delta_color}; font-size: 0.9rem;">{delta}</span>'
    
    st.markdown(f"""
    <div style="
        background: rgba(255, 255, 255, 0.08);
        backdrop-filter: blur(10px);
        padding: 1.5rem;
        border-radius: 12px;
        border-top: 3px solid {color};
        text-align: center;
        box-shadow: 0 4px 12px rgba(0,0,0,0.2);
        border: 1px solid rgba(255, 255, 255, 0.12);
    ">
        <p style="margin: 0; color: rgba(255, 255, 255, 0.7); font-size: 0.9rem; font-weight: 500;">{label}</p>
        <h2 style="margin: 0.5rem 0; color: {color}; font-weight: 700;">{value}</h2>
        {delta_html}
    </div>
    """, unsafe_allow_html=True)


def render_progress_bar(value: float, label: str = "", color: str = "#2d5a87"):
    """Render a custom progress bar."""
    
    percentage = min(max(value * 100, 0), 100)
    
    st.markdown(f"""
    <div style="margin: 0.5rem 0;">
        <div style="display: flex; justify-content: space-between; margin-bottom: 0.25rem;">
            <span>{label}</span>
            <span>{percentage:.1f}%</span>
        </div>
        <div style="
            background: #e9ecef;
            border-radius: 5px;
            height: 20px;
            overflow: hidden;
        ">
            <div style="
                background: {color};
                width: {percentage}%;
                height: 100%;
                border-radius: 5px;
                transition: width 0.3s ease;
            "></div>
        </div>
    </div>
    """, unsafe_allow_html=True)