Update all

python_scripte/streamlit-app.py

@@ -1,10 +1,14 @@
 import streamlit as st
 import sqlite3
 import pandas as pd
+from datetime import datetime, timedelta
 
-def fetch_data_from_db(db_path, table_name):
+def fetch_data_from_db(db_path, table_name, start_date=None, end_date=None):
     conn = sqlite3.connect(db_path)
-    query = f"SELECT * FROM {table_name}"
+    if table_name == "sync_results" and start_date and end_date:
+        query = f"SELECT * FROM {table_name} WHERE date BETWEEN '{start_date}' AND '{end_date}'"
+    else:
+        query = f"SELECT * FROM {table_name}"
     df = pd.read_sql_query(query, conn)
     conn.close()
     return df
@@ -25,6 +29,9 @@ def delete_user_from_db(db_path, email):
     cursor.execute('''
     DELETE FROM users WHERE email = ?
     ''', (email,))
+    cursor.execute('''
+    DELETE FROM sync_results WHERE email = ?
+    ''', (email,))
     conn.commit()
     conn.close()
 
@@ -82,6 +89,11 @@ def main():
             emails.insert(0, "All")
             selected_email = st.selectbox("Filter by Email:", options=emails)
 
+            # Add date range picker for filtering results by date
+            st.subheader("Filter by Date Range:")
+            start_date = st.date_input("Start Date", value=datetime.now().date())
+            end_date = st.date_input("End Date + 1 Tag", value=start_date + timedelta(days=1))
+
             if selected_email == "All":
                 filtered_users_df = users_df
             else:
@@ -91,16 +103,21 @@ def main():
 
             # Display email transfer results if available
             if not results_df.empty:
+                # Filter by email and date
                 if selected_email == "All":
-                    st.write("Email Transfer Results:")
-                    st.dataframe(results_df)
+                    filtered_results_df = fetch_data_from_db(db_path, "sync_results", start_date=start_date, end_date=end_date)
                 else:
-                    filtered_results_df = results_df[results_df['email'] == selected_email]
-                    if not filtered_results_df.empty:
-                        st.write(f"Email Transfer Results for {selected_email}:")
-                        st.dataframe(filtered_results_df)
-                    else:
-                        st.write(f"No transfer data found for {selected_email}.")
+                    filtered_results_df = fetch_data_from_db(db_path, "sync_results", start_date=start_date, end_date=end_date)
+                    filtered_results_df = filtered_results_df[filtered_results_df['email'] == selected_email]
+
+                if not filtered_results_df.empty:
+                    # Replace 'auth_failed' values with icons
+                    filtered_results_df['auth_failed'] = filtered_results_df['auth_failed'].apply(lambda x: '✅' if x == 0 else '❌')
+
+                    st.write(f"Email Transfer Results for {selected_email}:")
+                    st.dataframe(filtered_results_df)
+                else:
+                    st.write(f"No transfer data found for {selected_email} in the selected date range.")
             else:
                 st.write("No email transfer results available.")