Anadir los querys en el sidebar

app.py

@@ -1,21 +1,28 @@
 import streamlit as st
 import pandas as pd
+import sqlite3
 from dataBaseSetup import create_connection
 
+# Funciones de conexión a la base de datos
+def create_connection():
+    conn = sqlite3.connect('bike_store.db')
+    return conn
+
+# Funciones de consulta
 def get_stocks_by_category_store(category_name, store_name):
-        conn = create_connection()
-        sql = '''
-        SELECT categories.category_name, stores.store_name, SUM(stocks.quantity) as total_stock
-        FROM stocks
-        JOIN products ON stocks.product_id = products.product_id
-        JOIN categories ON products.category_id = categories.category_id
-        JOIN stores ON stocks.store_id = stores.store_id
-        WHERE categories.category_name = ? AND stores.store_name = ?
-        GROUP BY categories.category_name, stores.store_name;
-        '''
-        df = pd.read_sql_query(sql, conn, params=(category_name, store_name))
-        conn.close()
-        return df
+    conn = create_connection()
+    sql = '''
+    SELECT categories.category_name, stores.store_name, SUM(stocks.quantity) as total_stock
+    FROM stocks
+    JOIN products ON stocks.product_id = products.product_id
+    JOIN categories ON products.category_id = categories.category_id
+    JOIN stores ON stocks.store_id = stores.store_id
+    WHERE categories.category_name = ? AND stores.store_name = ?
+    GROUP BY categories.category_name, stores.store_name;
+    '''
+    df = pd.read_sql_query(sql, conn, params=(category_name, store_name))
+    conn.close()
+    return df
 
 def get_order_items_by_category_store(category_name, store_name):
     conn = create_connection()
@@ -63,67 +70,70 @@ def get_staff_order_counts(desc=True):
     return df
 
 # STREAMLIT
-
-import streamlit as st
-
 def app():
     st.title("Bike Store Management System")
 
-    # Query 1: Stocks by Category and Store
-    st.sidebar.header("Query 1: Get Stocks")
-    category_name_1 = st.text_input("Category Name for Stocks", key='1')
-    store_name_1 = st.text_input("Store Name for Stocks", key='2')
-    if st.sidebar.button("Execute Query 1", key='3'):
-        df = get_stocks_by_category_store(category_name_1, store_name_1)
+    # Opciones de consulta en la barra lateral
+    query_options = [
+        "Query 1: Get Stocks",
+        "Query 2: Get Order Items",
+        "Query 3: Total Sales in Santa Cruz Bikes",
+        "Query 4: Total Sales in Baldwin Bikes",
+        "Query 5: Total Sales in Rowlett Bikes",
+        "Query 6: Staff with the Highest Number of Orders",
+        "Query 7: Staff with the Lowest Number of Orders"
+    ]
+    selected_query = st.sidebar.radio("Seleccione una consulta para ejecutar", query_options)
+
+    # Mostrar inputs y ejecutar la consulta basada en la selección
+    if selected_query == "Query 1: Get Stocks":
         st.write("### Query 1: Stocks by Category and Store")
-        st.write(df)
+        category_name_1 = st.text_input("Category Name for Stocks", key='1')
+        store_name_1 = st.text_input("Store Name for Stocks", key='2')
+        if st.button("Execute Query 1", key='3'):
+            df = get_stocks_by_category_store(category_name_1, store_name_1)
+            st.write(df)
 
-    # Query 2: Order Items by Category and Store
-    st.sidebar.header("Query 2: Get Order Items")
-    category_name_2 = st.text_input("Category Name for Order Items", key='4')
-    store_name_2 = st.text_input("Store Name for Order Items", key='5')
-    if st.sidebar.button("Execute Query 2", key='6'):
-        df = get_order_items_by_category_store(category_name_2, store_name_2)
+    elif selected_query == "Query 2: Get Order Items":
         st.write("### Query 2: Order Items by Category and Store")
-        st.write(df)
+        category_name_2 = st.text_input("Category Name for Order Items", key='4')
+        store_name_2 = st.text_input("Store Name for Order Items", key='5')
+        if st.button("Execute Query 2", key='6'):
+            df = get_order_items_by_category_store(category_name_2, store_name_2)
+            st.write(df)
 
-    # Query 3: Total Sales in Santa Cruz Bikes
-    st.sidebar.header("Query 3: Total Sales in Santa Cruz Bikes")
-    year_month_3 = st.text_input("Year-Month (YYYY-MM) for Santa Cruz Bikes", key='7')
-    if st.sidebar.button("Execute Query 3", key='8'):
-        df = get_total_sales_by_store_year_month("Santa Cruz Bikes", year_month_3)
+    elif selected_query == "Query 3: Total Sales in Santa Cruz Bikes":
         st.write("### Query 3: Total Sales in Santa Cruz Bikes")
-        st.write(df)
+        year_month_3 = st.text_input("Year-Month (YYYY-MM) for Santa Cruz Bikes", key='7')
+        if st.button("Execute Query 3", key='8'):
+            df = get_total_sales_by_store_year_month("Santa Cruz Bikes", year_month_3)
+            st.write(df)
 
-    # Query 4: Total Sales in Baldwin Bikes
-    st.sidebar.header("Query 4: Total Sales in Baldwin Bikes")
-    year_month_4 = st.text_input("Year-Month (YYYY-MM) for Baldwin Bikes", key='9')
-    if st.sidebar.button("Execute Query 4", key='10'):
-        df = get_total_sales_by_store_year_month("Baldwin Bikes", year_month_4)
+    elif selected_query == "Query 4: Total Sales in Baldwin Bikes":
         st.write("### Query 4: Total Sales in Baldwin Bikes")
-        st.write(df)
+        year_month_4 = st.text_input("Year-Month (YYYY-MM) for Baldwin Bikes", key='9')
+        if st.button("Execute Query 4", key='10'):
+            df = get_total_sales_by_store_year_month("Baldwin Bikes", year_month_4)
+            st.write(df)
 
-    # Query 5: Total Sales in Rowlett Bikes
-    st.sidebar.header("Query 5: Total Sales in Rowlett Bikes")
-    year_month_5 = st.text_input("Year-Month (YYYY-MM) for Rowlett Bikes", key='11')
-    if st.sidebar.button("Execute Query 5", key='12'):
-        df = get_total_sales_by_store_year_month("Rowlett Bikes", year_month_5)
+    elif selected_query == "Query 5: Total Sales in Rowlett Bikes":
         st.write("### Query 5: Total Sales in Rowlett Bikes")
-        st.write(df)
+        year_month_5 = st.text_input("Year-Month (YYYY-MM) for Rowlett Bikes", key='11')
+        if st.button("Execute Query 5", key='12'):
+            df = get_total_sales_by_store_year_month("Rowlett Bikes", year_month_5)
+            st.write(df)
 
-    # Query 6: Staff with the Highest Number of Orders
-    st.sidebar.header("Query 6: Staff with the Highest Number of Orders")
-    if st.sidebar.button("Execute Query 6", key='13'):
-        df = get_staff_order_counts(desc=True)
+    elif selected_query == "Query 6: Staff with the Highest Number of Orders":
         st.write("### Query 6: Staff with the Highest Number of Orders")
-        st.write(df)
+        if st.button("Execute Query 6", key='13'):
+            df = get_staff_order_counts(desc=True)
+            st.write(df)
 
-    # Query 7: Staff with the Lowest Number of Orders
-    st.sidebar.header("Query 7: Staff with the Lowest Number of Orders")
-    if st.sidebar.button("Execute Query 7", key='14'):
-        df = get_staff_order_counts(desc=False)
+    elif selected_query == "Query 7: Staff with the Lowest Number of Orders":
         st.write("### Query 7: Staff with the Lowest Number of Orders")
-        st.write(df)
+        if st.button("Execute Query 7", key='14'):
+            df = get_staff_order_counts(desc=False)
+            st.write(df)
 
-if __name__ == '__main__':
+if __name__ == "__main__":
     app()