Update app_web.py

app_web.py

@@ -635,13 +635,51 @@ def render_chat():
 
 def render_db():
     # rows = st.columns((5,5), gap='medium')
-    row0 = st.container()
+    row0 = st.columns((4,4), gap='medium')
     row1 = st.columns((2,6), gap='medium')
     row2 = st.container()
     row3 = st.container()
-    with row0:
-        st.markdown(f"#### Pillar 1: Alignemnt with Political Incentives")        
-        st.dataframe(st.session_state.c2vc_results,
+    
+    with row0[0]:
+        st.markdown(f"#### Pillar 1: Value Chain Alignemnt with Political Incentives")       
+        score_cols = ["value_chain", "trend", "strategic_importance_score", 
+              "institutional_committment_score", "trend_normalized",
+              "strategic_importance_normalized", "institutional_commitment_normalized"]
+        
+        vc_rename_cols = {
+            "noremalized_scores":"Distribution of Beneficiaries",
+            "committment_to_vc":"Commitment to Value Chain"
+            }
+        
+        vc_alignment = st.session_state.beneficiaries_var.merge(st.session_state.c2vc_results[score_cols], on="value_chain", how="outer")
+        vc_alignment["committment_to_vc"] = vc_alignment[["strategic_importance_normalized", "institutional_commitment_normalized"]].mean(axis=1)
+        vc_alignment["Alignment"] = vc_alignment[["noremalized_scores", "committment_to_vc"]].mean(axis=1)
+        
+        st.dataframe(vc_alignment[["noremalized_scores", "committment_to_vc", "Alignment"]].rename(columns=vc_rename_cols),
+                    # column_order=("states", "population"),
+                    hide_index=True,
+                    width='stretch',
+                    # column_config={
+                    #     "states": st.column_config.TextColumn(
+                    #         "States",
+                    #     ),
+                    #     "population": st.column_config.ProgressColumn(
+                    #         "Population",
+                    #         format="%f",
+                    #         min_value=0,
+                    #         max_value=max(st.session_state.beneficiaries_var.population),
+                    #     )}
+                    )
+    with row0[1]:
+        st.markdown(f"#### Pillar 1: Investment Alignemnt with Political Incentives") 
+        investment_rename_cols = {
+                "investments":"Investment",
+                "time_to_impact":"Time to Impact",
+                "targetability":"Targetability",
+                "visibility":"Visibility",
+                "agg_score":"Investment",
+            }
+        st.dataframe(st.session_state.investments_var[["investments","time_to_impact", "targetability", "visibility"]].rename(columns=investment_rename_cols),
                     # column_order=("states", "population"),
                     hide_index=True,
                     width='stretch',