Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,3 +1,7 @@
+import os
+os.environ["STREAMLIT_HOME"] = "/tmp"
+os.environ["MPLCONFIGDIR"] = "/tmp"
+
 import streamlit as st
 import pandas as pd
 import numpy as np
@@ -11,7 +15,7 @@ from scipy.optimize import linear_sum_assignment
 from geopy.distance import geodesic
 import plotly.express as px
 import plotly.graph_objects as go
-import os
+from datetime import datetime, timedelta
 
 # Dapatkan path absolut direktori saat ini (yaitu src/)
 BASE_DIR = os.path.dirname(__file__)
@@ -39,16 +43,16 @@ def load_csv_from_local(file_path):
 def load_all_data():
     """Memuat semua dataset yang diperlukan dari file lokal"""
     file_paths = {
-        'buildings': '../data/building.csv',
+        'buildings': '../data/poi_places.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
 
 @st.cache_data
@@ -63,7 +67,7 @@ def build_graph(gdf_nodes, gdf_edges, gdf_poi):
 
     for idx, row in gdf_poi.iterrows():
         nid = f"poi_{idx}"
-        G.add_node(nid, x=row.geometry.x, y=row.geometry.y, name=row['name'])
+        G.add_node(nid, x=row['longitude'], y=row['latitude'], name=row['name'])
 
     road_nodes_list = [(n, data['y'], data['x']) for n, data in G.nodes(data=True) if isinstance(n, (int, float))]
 
@@ -120,7 +124,9 @@ with st.sidebar:
     data = load_all_data()
     gdf_nodes = data["road_nodes"]
     gdf_edges = data["road_edges"]
-    gdf_poi   = data["buildings"]
+    gdf_poi = data["buildings"]
+
+    st.write("📋 Kolom tersedia di gdf_poi:", gdf_poi.columns.tolist())
 
     name_list = sorted(gdf_poi['name'].dropna().unique().tolist())
     start_name = st.selectbox("Pilih Lokasi Awal:", name_list)