add search log

app.py

@@ -9,6 +9,7 @@ import streamlit as st
 import seaborn as sns
 from streamlit_folium import st_folium
 import matplotlib.pyplot as plt
+from datetime import datetime
 from utils import *
 
 ########## Title for the Web App ##########
@@ -111,6 +112,19 @@ with st.form("inputs"):
         elif input_propertyType == 'HDB':
             propertyType_HDB = 1        
 
+        # log searches
+        search_master = pd.read_csv('data/search.csv')
+        search_df = pd.DataFrame({'datetime': datetime.now().strftime('%Y-%m-%d %H:%M:%S'),
+                                'postal': input_postal,
+                                'storey': input_storey,
+                                'age': input_age_asof_transaction,
+                                'floor_area_sqft': input_floor_area_sqft,
+                                'property_type': input_propertyType
+        })
+        search_final = pd.concat([search_master, search_df])
+        search_final.to_csv('data/search.csv', index=False)
+
+
         latlong_geo['district'] = postal_final.loc[postal_final['2dpostal'] == input_postal[:2], 'district'].item() # all districts are covered in train set
         latlong_geo['storey'] = input_storey
         latlong_geo['age_asof_transaction'] = input_age_asof_transaction

data/search.csv

@@ -0,0 +1 @@
+datetime,postal,storey,age,floor_area_sqft,property_type