Update app.py

app.py

@@ -2,115 +2,163 @@ import streamlit as st
 import pandas as pd
 import altair as alt
 import json
+import os
 from datetime import datetime
 
+# ----------------------------------------
+# App Configuration
+# ----------------------------------------
 st.set_page_config(page_title="Climate Clock Observatory", layout="wide")
-st.title("🌍 Real-Time Climate Clock Observatory")
+st.title("🌍 Climate Clock Observatory")
+st.write("This dashboard presents key climate indicators using pseudo real-time data from the Climate Clock API.")
 
-# Add a refresh button
+# ----------------------------------------
+# Display Last Updated Timestamp
+# ----------------------------------------
+try:
+    file_stats = os.stat("climate_data.json")
+    last_updated = datetime.fromtimestamp(file_stats.st_mtime).strftime("%Y-%m-%d %H:%M:%S")
+    st.caption(f"🕒 Data last updated: {last_updated}")
+except:
+    st.caption("🕒 Last updated time not available")
+
+# ----------------------------------------
+# Refresh Button (Triggers full rerun)
+# ----------------------------------------
 if st.button("🔁 Refresh Data"):
-    st.experimental_rerun()
+    with st.spinner("Refreshing data..."):
+        st.experimental_rerun()
 
-# Load static data from local file
+# ----------------------------------------
+# Load Local JSON Data
+# ----------------------------------------
 try:
     with open("climate_data.json") as f:
         clock = json.load(f)
-except Exception as e:
+except Exception:
     st.error("Failed to load climate data.")
     st.stop()
 
-# 1️⃣ CO₂ Budget Depletion Line Chart (10-year projection)
+# ----------------------------------------
+# 1. CO₂ Budget Depletion Projection (Line Chart)
+# ----------------------------------------
 st.header("1️⃣ CO₂ Budget Depletion Projection")
 try:
-    co2_clock = clock.get("co2", {})
-    co2_remaining = float(co2_clock.get("remaining", 0))
-    co2_rate = float(co2_clock.get("rate", 0))
+    co2 = clock.get("co2", {})
+    co2_remaining = float(co2.get("remaining", 0))
+    co2_rate = float(co2.get("rate", 0))
 
     years = list(range(datetime.now().year, datetime.now().year + 10))
-    values = [max(co2_remaining - i * co2_rate, 0) for i in range(10)]
-    df_proj = pd.DataFrame({"Year": years, "Remaining CO₂ Budget (Gt)": values})
+    remaining = [max(co2_remaining - co2_rate * i, 0) for i in range(10)]
+
+    co2_df = pd.DataFrame({
+        "Year": years,
+        "Remaining CO₂ Budget (Gt)": remaining
+    })
 
-    chart = alt.Chart(df_proj).mark_line(point=True).encode(
-        x='Year:O',
-        y='Remaining CO₂ Budget (Gt):Q',
-        tooltip=['Year', 'Remaining CO₂ Budget (Gt)']
+    chart = alt.Chart(co2_df).mark_line(point=True).encode(
+        x="Year:O",
+        y="Remaining CO₂ Budget (Gt):Q",
+        tooltip=["Year", "Remaining CO₂ Budget (Gt)"]
     ).properties(width=700)
     st.altair_chart(chart, use_container_width=True)
+
 except Exception as e:
-    st.warning(f"Could not generate CO₂ projection chart: {e}")
+    st.warning(f"Could not render CO₂ projection chart: {e}")
 
-# 2️⃣ Renewable Energy Share Donut Chart
+# ----------------------------------------
+# 2. Global Energy Mix (Donut Chart)
+# ----------------------------------------
 st.header("2️⃣ Global Energy Mix – Renewables vs Others")
 try:
-    renewables_clock = clock.get("renewables", {})
-    percent = float(renewables_clock.get("percentage", 0))
+    renewables = clock.get("renewables", {})
+    renewable_percent = float(renewables.get("percentage", 0))
+
     energy_df = pd.DataFrame({
-        'Type': ['Renewables', 'Other'],
-        'Percentage': [percent, 100 - percent]
+        "Type": ["Renewables", "Other"],
+        "Percentage": [renewable_percent, 100 - renewable_percent]
     })
 
-    pie = alt.Chart(energy_df).mark_arc(innerRadius=50).encode(
-        theta='Percentage:Q',
-        color='Type:N',
-        tooltip=['Type', 'Percentage']
+    donut = alt.Chart(energy_df).mark_arc(innerRadius=50).encode(
+        theta="Percentage:Q",
+        color="Type:N",
+        tooltip=["Type", "Percentage"]
     ).properties(width=400, height=400)
-    st.altair_chart(pie, use_container_width=True)
+    st.altair_chart(donut, use_container_width=True)
+
 except Exception as e:
-    st.warning(f"Could not load renewable energy chart: {e}")
+    st.warning(f"Could not render energy mix chart: {e}")
 
-# 3️⃣ Lifeline Metrics – Positive Climate Interventions
-st.header("3️⃣ Lifeline Metrics – Positive Contributions")
+# ----------------------------------------
+# 3. Lifeline Metrics (Bar Chart)
+# ----------------------------------------
+st.header("3️⃣ Lifeline Metrics – Positive Climate Interventions")
 try:
     lifelines = clock.get("lifelines", [])
     lifeline_df = pd.DataFrame([
-        {"Label": l.get("label", ""), "Value": float(l.get("value", 0))}
-        for l in lifelines
+        {"Label": item.get("label", ""), "Value": float(item.get("value", 0))}
+        for item in lifelines
     ])
-    bar = alt.Chart(lifeline_df).mark_bar().encode(
+
+    lifeline_chart = alt.Chart(lifeline_df).mark_bar().encode(
         x=alt.X("Label:N", sort="-y"),
         y="Value:Q",
         tooltip=["Label", "Value"]
     ).properties(width=700)
-    st.altair_chart(bar, use_container_width=True)
+    st.altair_chart(lifeline_chart, use_container_width=True)
+
 except Exception as e:
-    st.warning(f"Could not generate lifeline chart: {e}")
+    st.warning(f"Could not render lifeline chart: {e}")
 
-# 4️⃣ Climate Deadline Countdown Display
+# ----------------------------------------
+# 4. Climate Deadline Countdown
+# ----------------------------------------
 st.header("4️⃣ Time Left to 1.5°C Threshold")
 try:
-    deadline_clock = clock.get("deadline", {})
-    deadline_parts = list(map(int, deadline_clock.get("time_left", "0:0:0:0:0").split(":")))
-    time_left_str = f"{deadline_parts[0]} years, {deadline_parts[1]} months, {deadline_parts[2]} days"
-    st.success(f"⏳ Estimated Time Remaining Before 1.5°C Limit is Breached: {time_left_str}")
+    deadline = clock.get("deadline", {})
+    parts = list(map(int, deadline.get("time_left", "0:0:0:0:0").split(":")))
+    display_str = f"{parts[0]} years, {parts[1]} months, {parts[2]} days"
+    st.success(f"⏳ Estimated Time Remaining: {display_str}")
+
 except Exception as e:
-    st.warning(f"Could not show climate deadline: {e}")
+    st.warning(f"Could not display climate deadline: {e}")
 
-# 5️⃣ Interactive What-If: CO₂ Emission Reduction Simulator
+# ----------------------------------------
+# 5. CO₂ Budget Simulator (Interactive Slider)
+# ----------------------------------------
 st.header("5️⃣ CO₂ Budget Simulator – What If We Reduce Emissions?")
 try:
-    st.markdown("📉 Use the slider below to simulate reduced annual emissions and see when we would run out of CO₂ budget.")
-    new_rate = st.slider("New Annual CO₂ Emission Rate (Gt/year)", min_value=10.0, max_value=45.0, value=co2_rate, step=0.5)
+    st.markdown("Use the slider to simulate reduced emissions and project CO₂ budget timeline.")
+    new_rate = st.slider("New Annual CO₂ Emission Rate (Gt/year)", 10.0, 45.0, co2_rate, 0.5)
+
     sim_years = []
-    sim_budget = []
+    sim_budgets = []
     budget = co2_remaining
     year = datetime.now().year
 
     while budget > 0 and len(sim_years) < 20:
         sim_years.append(year)
-        sim_budget.append(budget)
+        sim_budgets.append(budget)
         budget -= new_rate
         year += 1
 
-    sim_df = pd.DataFrame({'Year': sim_years, 'Projected CO₂ Budget (Gt)': sim_budget})
+    sim_df = pd.DataFrame({
+        "Year": sim_years,
+        "Projected CO₂ Budget (Gt)": sim_budgets
+    })
+
     sim_chart = alt.Chart(sim_df).mark_line(point=True).encode(
-        x='Year:O',
-        y='Projected CO₂ Budget (Gt):Q',
-        tooltip=['Year', 'Projected CO₂ Budget (Gt)']
+        x="Year:O",
+        y="Projected CO₂ Budget (Gt):Q",
+        tooltip=["Year", "Projected CO₂ Budget (Gt)"]
     ).properties(width=700)
     st.altair_chart(sim_chart, use_container_width=True)
+
 except Exception as e:
-    st.warning(f"Could not run simulation: {e}")
+    st.warning(f"Could not run CO₂ simulation: {e}")
 
+# ----------------------------------------
 # Footer
+# ----------------------------------------
 st.markdown("---")
-st.caption("Made by Sanidhya and Group Members | Data from Climate Clock API (cached sample)")
+st.caption("Made by Sanidhya and Group Members | Data based on Climate Clock API (cached sample)")