Update app.py

app.py

@@ -7,15 +7,14 @@ import plotly.express as px
 import numpy as np
 
 # Function to fetch renewable energy data
-def get_renewable_energy_data(city_code):
-    url = f"https://energy-sustainability.jp/_ajax/renewable_energy/get/?code={city_code}"
-    response = requests.get(url)
-    if response.status_code != 200:
-        return None, "データの取得に失敗しました。"
-
-    data = response.json()
+def get_json():
+    """
+    open data.json
+    """
+    with open('data.json') as f:
+    data = json.load(f)
     if not data:
-        return None, "データが見つかりませんでした。"
+        return None, "No data found."
 
     base_times = data[next(iter(data))]['x']
     result_df = pd.DataFrame({"Time": base_times})
@@ -25,14 +24,11 @@ def get_renewable_energy_data(city_code):
             values = energy_data['y']
             result_df[f"{energy_type} hourly capacity factor"] = values
 
-    return result_df, None
+    return data
 
 # Function to optimize the energy system and create visualizations
-def optimize_energy_system(city_code, solar_cost, onshore_wind_cost, offshore_wind_cost, river_cost, battery_cost, yearly_demand, solar_range, wind_range, river_range, offshore_wind_range):
-    data, error = get_renewable_energy_data(city_code)
-    if error:
-        st.error(error)
-        return None, None, None, None, None, None
+def optimize_energy_system(solar_cost, onshore_wind_cost, offshore_wind_cost, river_cost, battery_cost, yearly_demand, solar_range, wind_range, river_range, offshore_wind_range):
+    data, error = get_json()
 
     for col in data.columns[1:]:
         data[col] = pd.to_numeric(data[col], errors='coerce')
@@ -276,7 +272,6 @@ The optimization problem aims to balance supply and demand at minimal cost, whil
 
 with st.sidebar:
     st.header('Input Parameters')
-    city_code = st.text_input("Enter City Code", value=999999)
     solar_cost = st.number_input("Solar Capacity Cost (￥/MW)", value=80.0)
     onshore_wind_cost = st.number_input("Onshore Wind Capacity Cost (￥/MW)", value=120.0)
     offshore_wind_cost = st.number_input("Offshore Wind Capacity Cost (￥/MW)", value=180.0)
@@ -292,7 +287,7 @@ calculated_optimal_energy_mix = False
 
 if st.button('Calculate Optimal Energy Mix'):
     fig_energy, heatmaps, curtailment_values, soc_per_hour, fig_capacity_ranges, renewable_capacity = optimize_energy_system(
-        city_code, solar_cost, onshore_wind_cost, offshore_wind_cost, river_cost, battery_cost, yearly_demand, solar_range, wind_range, river_range, offshore_wind_range
+        solar_cost, onshore_wind_cost, offshore_wind_cost, river_cost, battery_cost, yearly_demand, solar_range, wind_range, river_range, offshore_wind_range
     )
     
     if fig_energy: