tryout

streamlit_simulation/app.py

@@ -241,37 +241,37 @@ 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")