Update src/streamlit_app.py
Browse files- src/streamlit_app.py +82 -63
src/streamlit_app.py
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import os
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from pathlib import Path
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# ββ SUPPRESS telemetry & permission errors βββββββββββββββββββββββββββββββββ
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os.environ["HOME"] = "/tmp"
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os.environ["XDG_CONFIG_HOME"] = "/tmp"
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os.environ["XDG_CACHE_HOME"] = "/tmp"
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os.environ["STREAMLIT_HOME"] = "/tmp"
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os.environ["STREAMLIT_GATHER_USAGE_STATS"] = "false"
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import streamlit as st
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import pandas as pd
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import networkx as nx
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import warnings
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warnings.filterwarnings("ignore")
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# ββ
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# ββ
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st.set_page_config(
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page_title="MODA Multimodal Routing",
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layout="wide",
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initial_sidebar_state="expanded"
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)
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# ββ
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@st.cache_data
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def
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"""
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return
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@st.cache_data
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def build_graph(gdf_nodes, gdf_edges, gdf_poi):
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G = nx.Graph()
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# add road nodes
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for _,
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G.add_node(
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# add road edges
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for _,
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if pd.notna(
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G.add_edge(
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# add
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for idx,
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nid = f"poi_{idx}"
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G.add_node(nid, x=
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# connect
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road_list = [(n, d['y'], d['x']) for n, d in G.nodes(data=True) if isinstance(n, (int, float))]
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for idx,
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nid = f"poi_{idx}"
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lat, lon =
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nearest = min(road_list, key=lambda x: geodesic((lat, lon), (x[1], x[2])).meters)[0]
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dist = geodesic((lat, lon), (G.nodes[nearest]['y'], G.nodes[nearest]['x'])).meters
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G.add_edge(nid, nearest, length=dist)
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G.add_edge(nearest, nid, length=dist)
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return G
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# ββ
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def get_poi_id(name, gdf_poi):
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return f"poi_{
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def compute_route(G,
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path = nx.shortest_path(G,
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km =
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return path, km,
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# ββ
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# load data
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# sidebar inputs
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st.sidebar.header("π Input Rute")
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start = st.sidebar.selectbox("Dari:", poi_list)
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end = st.sidebar.selectbox("Ke:", poi_list, index=1)
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time_input = st.sidebar.time_input("Waktu Berangkat", value=datetime.now().time())
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#
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if st.sidebar.button("π Cari Rute"):
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G = build_graph(gdf_nodes, gdf_edges, gdf_poi)
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if not
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st.
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else:
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# Drive
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st.subheader("π Drive Mode")
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st.write(f"
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m1 = folium.Map(location=[gdf_poi
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coords1 = [(G.nodes[n]['y'], G.nodes[n]['x']) for n in
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folium.PolyLine(coords1, color='blue', weight=4).add_to(m1)
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st_folium(m1, width=700, height=400)
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# Bus
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st.subheader("π Bus Mode")
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st.write(f"
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m2 = folium.Map(location=[gdf_poi
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coords2 = [(G.nodes[n]['y'], G.nodes[n]['x']) for n in
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folium.PolyLine(coords2, color='green', weight=4).add_to(m2)
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st_folium(m2, width=700, height=400)
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else:
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st.info("Pilih rute dan klik
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import os
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from pathlib import Path
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import streamlit as st
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import pandas as pd
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import networkx as nx
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import warnings
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warnings.filterwarnings("ignore")
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# βββ ENVIRONMENT FIX FOR HUGGINGFACE SPACES βββββββββββββββββββββββββββββββββ
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os.environ["HOME"] = "/tmp"
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os.environ["XDG_CONFIG_HOME"] = "/tmp"
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os.environ["XDG_CACHE_HOME"] = "/tmp"
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os.environ["STREAMLIT_HOME"] = "/tmp"
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# βββ CONFIGURE PAGE βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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st.set_page_config(
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page_title="MODA Multimodal Routing",
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layout="wide",
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initial_sidebar_state="expanded"
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)
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# βββ PATH SETUP ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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BASE_DIR = Path(__file__).resolve().parent
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DATA_DIR = BASE_DIR.parent / "data"
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# βββ DATA LOADING FUNCTIONS βββββββββββββββββββββββββββββββββββββββββββββββββββ
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@st.cache_data
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def load_csv_from_local(file_path):
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"""Memuat CSV dengan caching. file_path relatif terhadap src/"""
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full_path = DATA_DIR / file_path
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if not full_path.exists():
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st.error(f"File tidak ditemukan: {full_path}")
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return pd.DataFrame()
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df = pd.read_csv(full_path)
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df.columns = [col.lower() for col in df.columns]
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return df
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@st.cache_data
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def load_all_data():
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"""Memuat semua dataset yang diperlukan"""
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file_paths = {
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'buildings': 'poi_places.csv',
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'road_nodes': 'road_nodes.csv',
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'road_edges': 'road_edges.csv'
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}
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data = {}
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for key, fname in file_paths.items():
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data[key] = load_csv_from_local(fname)
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return data
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# βββ BUILD GRAPH βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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@st.cache_data
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def build_graph(gdf_nodes, gdf_edges, gdf_poi):
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G = nx.Graph()
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# add road nodes
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for _, row in gdf_nodes.iterrows():
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G.add_node(row['osmid'], x=row['x'], y=row['y'])
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# add road edges
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for _, row in gdf_edges.iterrows():
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if pd.notna(row['length']):
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G.add_edge(row['u'], row['v'], length=row['length'])
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# add poi nodes
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for idx, row in gdf_poi.iterrows():
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nid = f"poi_{idx}"
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G.add_node(nid, x=row['longitude'], y=row['latitude'], name=row.get('name', f"POI {idx}"))
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# connect poi to nearest road node
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road_list = [(n, d['y'], d['x']) for n, d in G.nodes(data=True) if isinstance(n, (int, float))]
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for idx, row in gdf_poi.iterrows():
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nid = f"poi_{idx}"
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lat, lon = row['latitude'], row['longitude']
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nearest = min(road_list, key=lambda x: geodesic((lat, lon), (x[1], x[2])).meters)[0]
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dist = geodesic((lat, lon), (G.nodes[nearest]['y'], G.nodes[nearest]['x'])).meters
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G.add_edge(nid, nearest, length=dist)
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G.add_edge(nearest, nid, length=dist)
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return G
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# βββ HELPERS ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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def get_poi_id(name, gdf_poi):
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df = gdf_poi[gdf_poi['name'].str.lower().str.strip() == name.lower().strip()]
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return f"poi_{df.index[0]}" if not df.empty else None
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def compute_route(G, start, end, speed_kmh):
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path = nx.shortest_path(G, start, end, weight='length')
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dist_m = nx.shortest_path_length(G, start, end, weight='length')
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km = dist_m / 1000
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time_min = km / speed_kmh * 60
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return path, km, time_min
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# βββ MAIN βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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# load data
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data = load_all_data()
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gdf_poi = data['buildings']
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gdf_nodes = data['road_nodes']
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gdf_edges = data['road_edges']
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# sidebar inputs
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st.sidebar.header("π Input Rute")
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if 'name' not in gdf_poi.columns:
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st.sidebar.error("Kolom 'name' tidak ditemukan di poi_places.csv")
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st.stop()
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poi_list = gdf_poi['name'].dropna().tolist()
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start = st.sidebar.selectbox("Dari:", poi_list)
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end = st.sidebar.selectbox("Ke:", poi_list, index=1)
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time_input = st.sidebar.time_input("Waktu Berangkat", value=datetime.now().time())
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# show selection
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st.write(f"**Start:** {start} β’ **End:** {end} β’ **Depart:** {time_input.strftime('%H:%M')}")
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# on click search
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if st.sidebar.button("π Cari Rute"):
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G = build_graph(gdf_nodes, gdf_edges, gdf_poi)
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sid = get_poi_id(start, gdf_poi)
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eid = get_poi_id(end, gdf_poi)
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if not sid or not eid:
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st.error("Lokasi tidak valid.")
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else:
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# Drive
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p_d, km_d, t_d = compute_route(G, sid, eid, speed_kmh=30)
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cost_d = int(km_d * 3000)
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st.subheader("π Drive Mode")
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st.write(f"Jarak: **{km_d:.2f} km**, Waktu: **{t_d:.1f} menit**, Biaya: **{cost_d:,} IDR**")
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m1 = folium.Map(location=[gdf_poi['latitude'].mean(), gdf_poi['longitude'].mean()], zoom_start=13)
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coords1 = [(G.nodes[n]['y'], G.nodes[n]['x']) for n in p_d]
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folium.PolyLine(coords1, color='blue', weight=4).add_to(m1)
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st_folium(m1, width=700, height=400)
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# Bus
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p_b, km_b, t_b = compute_route(G, sid, eid, speed_kmh=25)
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arr = (datetime.combine(datetime.today(), time_input) + timedelta(minutes=t_b)).time()
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st.subheader("π Bus Mode")
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st.write(f"Jarak: **{km_b:.2f} km**, Waktu: **{t_b:.1f} menit**, Tiba: **{arr.strftime('%H:%M')}**, Biaya: **3,500 IDR**")
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m2 = folium.Map(location=[gdf_poi['latitude'].mean(), gdf_poi['longitude'].mean()], zoom_start=13)
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coords2 = [(G.nodes[n]['y'], G.nodes[n]['x']) for n in p_b]
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folium.PolyLine(coords2, color='green', weight=4).add_to(m2)
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st_folium(m2, width=700, height=400)
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else:
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st.info("Pilih rute dan klik Cari Rute di sidebar.")
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