src/streamlit_app.py

import streamlit as st
import pandas as pd
import numpy as np
import networkx as nx
import folium
from streamlit_folium import st_folium
import requests
from io import StringIO
import math
from scipy.optimize import linear_sum_assignment
from geopy.distance import geodesic
import plotly.express as px
import plotly.graph_objects as go

# Konfigurasi halaman Streamlit
st.set_page_config(
    page_title="RASA ITS",
    page_icon="🍽️",
    layout="wide",
    initial_sidebar_state="expanded"
)

# Fungsi untuk memuat data CSV dengan caching
@st.cache_data
def load_csv_from_local(file_path):
    """Memuat data CSV dari file lokal dengan caching untuk performa"""
    try:
        return pd.read_csv(file_path)
    except Exception as e:
        st.error(f"Error memuat data dari {file_path}: {e}")
        return pd.DataFrame()

@st.cache_data
def load_all_data():
    """Memuat semua dataset yang diperlukan dari file lokal"""
    file_paths = {
    'buildings': 'data/building.csv',
    'road_nodes': 'data/road_nodes.csv',
    'road_edges': 'data/road_edges.csv',
    'menus': 'data/menu_with_tags.csv'
    }
    
    data = {}
    for key, path in file_paths.items():
        data[key] = load_csv_from_local(path)
    
    return data

def format_price(price_str):
    """Memformat string harga dengan format Indonesia (IDR)"""
    if pd.isna(price_str):
        return "Harga tidak tersedia"
    
    price_str = str(price_str)
    
    # Cek apakah harga dimulai dengan ">" (harga minimum)
    if price_str.startswith(">"):
        # Hapus ">" dan konversi ke angka
        price_num = price_str[1:]
        try:
            price_value = float(price_num)
            return f"mulai dari IDR {price_value:,.0f}".replace(",", ".")
        except ValueError:
            return f"mulai dari IDR {price_num}"
    else:
        try:
            price_value = float(price_str)
            return f"IDR {price_value:,.0f}".replace(",", ".")
        except ValueError:
            return f"IDR {price_str}"

def extract_numeric_price(price_str):
    """Ekstrak nilai numerik dari string harga untuk perhitungan"""
    if pd.isna(price_str):
        return np.nan
    
    price_str = str(price_str)
    
    # Hapus ">" jika ada
    if price_str.startswith(">"):
        price_str = price_str[1:]
    
    try:
        return float(price_str)
    except ValueError:
        return np.nan

@st.cache_data
def build_graph(road_nodes, road_edges, buildings):
    """Membangun graf terarah dari jaringan jalan dan bangunan untuk navigasi"""
    G = nx.DiGraph()
    
    # Tambahkan node jalan
    for _, row in road_nodes.iterrows():
        G.add_node(row['osmid'], x=row['x'], y=row['y'], type='road')
    
    # Tambahkan edge jalan dengan bobot jarak
    for _, row in road_edges.iterrows():
        if pd.notna(row['length']) and row['u'] in G.nodes and row['v'] in G.nodes:
            G.add_edge(row['u'], row['v'], length=row['length'])
    
    # Tambahkan node bangunan dan hubungkan ke node jalan terdekat
    road_coords = [(n, data['y'], data['x']) for n, data in G.nodes(data=True) if data.get('type') == 'road']
    
    for idx, building in buildings.iterrows():
        building_id = f"building_{idx}"
        G.add_node(building_id, 
                  x=building['longitude'], 
                  y=building['latitude'], 
                  name=building['name'],
                  type='building')
        
        # Cari node jalan terdekat
        if road_coords:
            nearest_road = min(road_coords, 
                             key=lambda item: haversine_distance(
                                 building['latitude'], building['longitude'],
                                 item[1], item[2]
                             ))[0]
            
            # Hitung jarak dan tambahkan edge dua arah
            dist = haversine_distance(
                building['latitude'], building['longitude'],
                G.nodes[nearest_road]['y'], G.nodes[nearest_road]['x']
            )
            G.add_edge(building_id, nearest_road, length=dist)
            G.add_edge(nearest_road, building_id, length=dist)
    
    return G

def haversine_distance(lat1, lon1, lat2, lon2):
    """Hitung jarak haversine antara dua titik dalam meter"""
    lat1, lon1, lat2, lon2 = map(math.radians, [lat1, lon1, lat2, lon2])
    dlat = lat2 - lat1
    dlon = lon2 - lon1
    a = math.sin(dlat/2)**2 + math.cos(lat1)*math.cos(lat2)*math.sin(dlon/2)**2
    c = 2 * math.asin(math.sqrt(a))
    return 6371000 * c  # Radius bumi dalam meter

def create_base_map(center_lat=-7.2820, center_lon=112.7950):
    """Buat peta dasar folium yang berpusat di ITS ITS"""
    m = folium.Map(
        location=[center_lat, center_lon],
        zoom_start=15.5,
        tiles='OpenStreetMap'
    )
    return m

def create_map_with_directions(graph, path, buildings):
    """Buat peta dengan marker awal dan tujuan plus rute navigasi"""
    # Buat peta dasar yang berpusat di ITS
    m = create_base_map()
    
    if not path or len(path) < 2:
        return m
    
    # Ambil node awal dan akhir
    start_node = path[0]
    end_node = path[-1]
    
    # Buat koordinat jalur
    path_coords = []
    for node in path:
        if node in graph.nodes:
            node_data = graph.nodes[node]
            path_coords.append([node_data['y'], node_data['x']])
    
    # Tambahkan garis rute
    if len(path_coords) >= 2:
        folium.PolyLine(
            locations=path_coords,
            color='red',
            weight=4,
            opacity=0.8,
            popup='Rute Terpendek'
        ).add_to(m)
    
    # Tambahkan marker awal (lokasi pengguna)
    if start_node in graph.nodes:
        start_data = graph.nodes[start_node]
        start_name = start_data.get('name', 'Lokasi Awal')
        folium.Marker(
            location=[start_data['y'], start_data['x']],
            icon=folium.Icon(color='green', icon='play'),
            popup=f'<b>Mulai:</b> {start_name}',
            tooltip='Lokasi Awal'
        ).add_to(m)
    
    # Tambahkan marker tujuan
    if end_node in graph.nodes:
        end_data = graph.nodes[end_node]
        end_name = end_data.get('name', 'Tujuan')
        folium.Marker(
            location=[end_data['y'], end_data['x']],
            icon=folium.Icon(color='red', icon='stop'),
            popup=f'<b>Tujuan:</b> {end_name}',
            tooltip='Tujuan'
        ).add_to(m)
    
    return m

def find_shortest_path(graph, start_node, end_node):
    """Cari jalur terpendek menggunakan algoritma Dijkstra"""
    try:
        path = nx.dijkstra_path(graph, start_node, end_node, weight='length')
        distance = nx.dijkstra_path_length(graph, start_node, end_node, weight='length')
        return path, distance
    except (nx.NetworkXNoPath, nx.NodeNotFound):
        return None, float('inf')

def filter_menus(menus, search_term="", selected_tags=None, price_range=(0, 100000)):
    """Filter menu berdasarkan kata kunci, tag, dan rentang harga"""
    filtered = menus.copy()
    
    # Filter berdasarkan kata kunci pencarian
    if search_term:
        filtered = filtered[filtered['menu'].str.contains(search_term, case=False, na=False)]
    
    # Filter berdasarkan tag yang dipilih
    if selected_tags:
        tag_filter = filtered['tags'].str.contains('|'.join(selected_tags), case=False, na=False)
        filtered = filtered[tag_filter]
    
    # Konversi harga ke numerik dan filter berdasarkan rentang harga
    filtered['price_numeric'] = filtered['price'].apply(extract_numeric_price)
    filtered = filtered.dropna(subset=['price_numeric'])
    
    filtered = filtered[
        (filtered['price_numeric'] >= price_range[0]) & 
        (filtered['price_numeric'] <= price_range[1])
    ]
    
    return filtered

def calculate_menu_distances(filtered_menus, buildings, graph, user_location):
    """Hitung jarak dari lokasi pengguna ke lokasi menu yang difilter"""
    # Jalankan Dijkstra sekali saja untuk seluruh node
    all_distances = nx.single_source_dijkstra_path_length(graph, user_location, weight='length')
    menu_distances = []

    for _, menu in filtered_menus.iterrows():
        building_match = buildings[buildings['name'].str.contains(menu['location'], case=False, na=False)]
        if not building_match.empty:
            building_idx = building_match.index[0]
            building_node = f"building_{building_idx}"

            dist = all_distances.get(building_node, float('inf'))
            if dist != float('inf'):
                menu_distances.append({
                    'menu': menu['menu'],
                    'location': menu['location'],
                    'price': menu['price'],
                    'price_numeric': menu['price_numeric'],
                    'category': menu['category'],
                    'tags': menu['tags'],
                    'distance': dist,
                    'building_node': building_node,
                    'building_idx': building_idx
                })
    return sorted(menu_distances, key=lambda x: x['distance'])

def has_user_input(user_location, search_term, selected_tags, price_range, default_price_range):
    """Cek apakah pengguna sudah memberikan input untuk pencarian menu"""
    has_location = user_location is not None
    has_search = search_term.strip() != ""
    has_tags = selected_tags and len(selected_tags) > 0
    has_custom_price = price_range != default_price_range
    
    return has_location or has_search or has_tags or has_custom_price

# Fungsi utama aplikasi
def main():
    st.title("🍽️ RASA ITS")
    st.markdown("Temukan pilihan makanan terbaik dan terdekat di sekitar ITS!")
    
    # Muat data dengan loading spinner
    with st.spinner("Memuat data ITS..."):
        data = load_all_data()
        
        if any(df.empty for df in data.values()):
            st.error("Gagal memuat data yang diperlukan.")
            return
        
        buildings = data['buildings']
        road_nodes = data['road_nodes']
        road_edges = data['road_edges']
        menus = data['menus']
        
        # Bangun graf untuk navigasi
        graph = build_graph(road_nodes, road_edges, buildings)
    
    # Inisialisasi session state untuk menyimpan status aplikasi
    if 'selected_path' not in st.session_state:
        st.session_state.selected_path = None
    if 'user_location' not in st.session_state:
        st.session_state.user_location = None
    if 'selected_building_name' not in st.session_state:
        st.session_state.selected_building_name = None
    if 'show_directions' not in st.session_state:
        st.session_state.show_directions = False
    
    # Kontrol sidebar
    st.sidebar.header("🎯 Kontrol Navigasi")
    
    # Pemilihan lokasi pengguna - HANYA DROPDOWN
    st.sidebar.subheader("📍 Lokasi Anda")
    building_names = [""] + buildings['name'].tolist()  # Tambah opsi kosong
    selected_building = st.sidebar.selectbox("Pilih lokasi Anda:", building_names)
    
    if selected_building:
        building_idx = buildings[buildings['name'] == selected_building].index[0]
        st.session_state.user_location = f"building_{building_idx}"
        st.session_state.selected_building_name = selected_building
    else:
        st.session_state.user_location = None
        st.session_state.selected_building_name = None
    
    # Pencarian dan filter menu
    st.sidebar.subheader("🔍 Pencarian & Filter Menu")
    search_term = st.sidebar.text_input("Cari menu:", placeholder="contoh: ayam, nasi")
    
    # Ambil tag unik untuk filtering
    all_tags = set()
    for tags_str in menus['tags'].dropna():
        if isinstance(tags_str, str):
            all_tags.update(tag.strip() for tag in tags_str.split(','))
    all_tags = sorted(list(all_tags))
    
    selected_tags = st.sidebar.multiselect("Filter berdasarkan tag:", all_tags)
    
    # Slider rentang harga - gunakan nilai numerik untuk filtering
    menus['price_numeric'] = menus['price'].apply(extract_numeric_price)
    menus_with_price = menus.dropna(subset=['price_numeric'])
    
    min_price = int(menus_with_price['price_numeric'].min()) if not menus_with_price['price_numeric'].empty else 0
    max_price = int(menus_with_price['price_numeric'].max()) if not menus_with_price['price_numeric'].empty else 100000
    default_price_range = (min_price, max_price)
    
    price_range = st.sidebar.slider(
        "Rentang harga (IDR):",
        min_value=min_price,
        max_value=max_price,
        value=default_price_range,
        step=1000
    )
    
    # Tombol hapus petunjuk arah
    if st.sidebar.button("🗺️ Hapus Petunjuk Arah"):
        st.session_state.selected_path = None
        st.session_state.show_directions = False
        st.rerun()
    
    # Cek apakah pengguna sudah memberikan input
    user_has_input = has_user_input(
        st.session_state.user_location, 
        search_term, 
        selected_tags, 
        price_range, 
        default_price_range
    )
    
    # Area konten utama dengan 2 kolom
    col1, col2 = st.columns([2, 1])
    
    with col1:
        st.subheader("🗺️ Peta ITS")
        
        # Tampilkan lokasi saat ini
        if st.session_state.selected_building_name:
            st.info(f"📍 Lokasi saat ini: {st.session_state.selected_building_name}")
        
        # Buat dan tampilkan peta
        if st.session_state.show_directions and st.session_state.selected_path:
            display_map = create_map_with_directions(graph, st.session_state.selected_path, buildings)
        else:
            display_map = create_base_map()
        
        # Tampilkan peta tanpa handling klik
        st_folium(display_map, width=700, height=500, key="main_map")
    
    with col2:
        st.subheader("🍽️ Pilihan Menu")
        
        # Hanya tampilkan opsi menu jika pengguna sudah memberikan input
        if not user_has_input:
            st.info("👋 **Selamat datang!** Untuk melihat pilihan menu, silakan:")
            st.markdown("""
            - 📍 **Pilih lokasi Anda** dari dropdown
            - 🔍 **Cari makanan tertentu** (contoh: "ayam", "nasi")
            - 🏷️ **Pilih tag makanan** (contoh: "pedas", "ayam")
            - 💰 **Sesuaikan rentang harga** jika diperlukan
            """)
            st.markdown("---")
            st.markdown("🗺️ **Tips:** Anda dapat menjelajahi peta ITS di sebelah kiri!")
            
        else:
            # Filter menu berdasarkan kriteria
            filtered_menus = filter_menus(menus, search_term, selected_tags, price_range)
            
            if not filtered_menus.empty:
                if st.session_state.user_location:
                    # Hitung jarak dan urutkan
                    menu_distances = calculate_menu_distances(
                        filtered_menus, buildings, graph, st.session_state.user_location
                    )
                    
                    if menu_distances:
                        st.write(f"Ditemukan {len(menu_distances)} pilihan menu:")
                        
                        # Tampilkan opsi menu dengan petunjuk arah
                        for i, menu_info in enumerate(menu_distances[:10]):  # Tampilkan 10 teratas
                            with st.expander(
                                f"🍽️ {menu_info['menu']} - {format_price(menu_info['price'])} "
                                f"({menu_info['distance']:.0f}m)"
                            ):
                                st.write(f"**Lokasi:** {menu_info['location']}")
                                st.write(f"**Kategori:** {menu_info['category']}")
                                st.write(f"**Tag:** {menu_info['tags']}")
                                st.write(f"**Jarak:** {menu_info['distance']:.0f} meter")
                                
                                if st.button(f"🧭 Tampilkan Petunjuk Arah", key=f"dir_{i}"):
                                    path, distance = find_shortest_path(
                                        graph, st.session_state.user_location, menu_info['building_node']
                                    )
                                    if path:
                                        st.session_state.selected_path = path
                                        st.session_state.show_directions = True
                                        st.success(f"Rute ditemukan! Jarak: {distance:.0f} meter")
                                        st.rerun()
                                    else:
                                        st.error("Tidak ada rute yang ditemukan ke lokasi ini.")
                    else:
                        st.info("Tidak ada lokasi menu yang dapat dijangkau.")
                else:
                    # Tampilkan menu yang difilter tanpa perhitungan jarak
                    st.write(f"Ditemukan {len(filtered_menus)} pilihan menu:")
                    st.info("💡 Pilih lokasi Anda untuk melihat jarak dan mendapatkan petunjuk arah!")
                    
                    for i, (_, menu) in enumerate(filtered_menus.head(10).iterrows()):
                        with st.expander(f"🍽️ {menu['menu']} - {format_price(menu['price'])}"):
                            st.write(f"**Lokasi:** {menu['location']}")
                            st.write(f"**Kategori:** {menu['category']}")
                            st.write(f"**Tag:** {menu['tags']}")
                            st.info("📍 Pilih lokasi Anda untuk melihat jarak dan mendapatkan petunjuk arah")
            else:
                st.info("Tidak ada menu yang ditemukan sesuai kriteria Anda. Coba sesuaikan filter!")


# Jalankan aplikasi jika file dieksekusi langsung
if __name__ == "__main__":
    main()