Changed hard coding for selectbox to mapping in dictionary

streamlit/interface_2.py

@@ -195,6 +195,35 @@ if client:
             cur.execute(query)
             df2 = pd.DataFrame.from_records(iter(cur), columns=[x[0] for x in cur.description])
 
+
+        # Changed To Dictionary Mapping for Faster Runtime (Replace with above code when using more fields)
+
+        # Define the mapping
+        # field_group_mapping = {
+        #     'Unique Key': ('A', None, None),
+        #     'Contract Related': ('C', None, None),
+        #     'Pricing Before Carveouts - I': ('B', 2, 0),
+        #     'Pricing Before Carveouts - II': ('B', 2, 1),
+        #     'Carveout Indicator, Code Type and Code #s - I': ('F', 3, 0),
+        #     'Carveout Indicator, Code Type and Code #s - II': ('F', 3, 1),
+        #     'Carveout Indicator, Code Type and Code #s - III': ('F', 3, 2),
+        #     'Carveout Methodology - I': ('G', 4, 0),
+        #     'Carveout Methodology - II': ('G', 4, 1),
+        #     'Carveout Method - III': ('G', 4, 2),
+        #     'Carveout Method - IV': ('G', 4, 3),
+        #     'Provider': ('D', None, None),
+        #     'Timeline': ('E', None, None)
+        # }
+
+        # # Get the mapping for the current field group
+        # priority, split, index = field_group_mapping.get(field_group, (None, None, None))
+
+        # if priority:
+        #     fields = fields[fields['PRIORITY'] == priority]
+        #     if split is not None and index is not None:
+        #         fields = np.array_split(fields, split)[index]
+
+
         button_cols = st.columns([1,2,6])
         with button_cols[0]:
             if st.button("Show PDF"):