tryout no plot

streamlit_simulation/app.py

@@ -242,7 +242,7 @@ def render_simulation_view(timestamp, prediction, actual, progress, fig, paused=
         f"{title}</div>",
         unsafe_allow_html=True
     )
-    #plot_container.pyplot(fig)
+    plot_container.pyplot(fig)
 
     st.markdown("<div style='margin-bottom: 0.5rem;'></div>", unsafe_allow_html=True)
     x_axis_label.markdown(
@@ -251,37 +251,37 @@ def render_simulation_view(timestamp, prediction, actual, progress, fig, paused=
         unsafe_allow_html=True
     )
 
-    #with info_container.container():
-    #    st.markdown("<div style='margin-top: 5rem;'></div>", unsafe_allow_html=True)
-    #    st.markdown(
-    #        f"<span style='font-size: 24px; font-weight: 600; color: {HEADER_COLOR} !important;'>Time: {timestamp}</span>",
-    #        unsafe_allow_html=True
-    #    )
-#
-    #    st.metric("Prediction", f"{prediction:,.0f} MW" if prediction is not None else "–")
-    #    st.metric("Actual", f"{actual:,.0f} MW" if actual is not None else "–")
-    #    #st.caption("Simulation Progress")
-    #    #st.progress(progress)
-#
-    #    if len(st.session_state.true_vals) > 1:
-    #        true_arr = np.array(st.session_state.true_vals)
-    #        pred_arr = np.array(st.session_state.pred_vals[:-1])
-#
-    #        min_len = min(len(true_arr), len(pred_arr)) #just start if there are 2 actual values
-    #        if min_len >= 1:
-    #            errors = np.abs(true_arr[:min_len] - pred_arr[:min_len])
-    #            mape = np.mean(errors / np.where(true_arr[:min_len] == 0, 1e-10, true_arr[:min_len])) * 100
-    #            mae = np.mean(errors)
-    #            max_error = np.max(errors)
-#
-    #            st.divider()
-    #            st.markdown(
-    #                f"<span style='font-size: 24px; font-weight: 600; color: {HEADER_COLOR} !important;'>Interim Metrics</span>",
-    #                unsafe_allow_html=True
-    #            )
-    #            st.metric("MAPE (so far)", f"{mape:.2f} %")
-    #            st.metric("MAE (so far)", f"{mae:,.0f} MW")
-    #            st.metric("Max Error", f"{max_error:,.0f} MW")
+    with info_container.container():
+        st.markdown("<div style='margin-top: 5rem;'></div>", unsafe_allow_html=True)
+        st.markdown(
+            f"<span style='font-size: 24px; font-weight: 600; color: {HEADER_COLOR} !important;'>Time: {timestamp}</span>",
+            unsafe_allow_html=True
+        )
+
+        st.metric("Prediction", f"{prediction:,.0f} MW" if prediction is not None else "–")
+        st.metric("Actual", f"{actual:,.0f} MW" if actual is not None else "–")
+        st.caption("Simulation Progress")
+        st.progress(progress)
+
+        if len(st.session_state.true_vals) > 1:
+            true_arr = np.array(st.session_state.true_vals)
+            pred_arr = np.array(st.session_state.pred_vals[:-1])
+
+            min_len = min(len(true_arr), len(pred_arr)) #just start if there are 2 actual values
+            if min_len >= 1:
+                errors = np.abs(true_arr[:min_len] - pred_arr[:min_len])
+                mape = np.mean(errors / np.where(true_arr[:min_len] == 0, 1e-10, true_arr[:min_len])) * 100
+                mae = np.mean(errors)
+                max_error = np.max(errors)
+
+                st.divider()
+                st.markdown(
+                    f"<span style='font-size: 24px; font-weight: 600; color: {HEADER_COLOR} !important;'>Interim Metrics</span>",
+                    unsafe_allow_html=True
+                )
+                st.metric("MAPE (so far)", f"{mape:.2f} %")
+                st.metric("MAE (so far)", f"{mae:,.0f} MW")
+                st.metric("Max Error", f"{max_error:,.0f} MW")