change Folder name pages to sites

sites/services_reporting.py

@@ -0,0 +1,131 @@
+import streamlit as st
+import pandas as pd
+import mysql.connector
+from datetime import datetime, date
+import os
+from dotenv import load_dotenv
+
+load_dotenv()
+
+
+def get_filtered_data(customer_id, service_id, start_date, end_date):
+    mydb = mysql.connector.connect(
+        host=os.getenv("MYSQL_HOST"),
+        user=os.getenv("MYSQL_USER"),
+        password=os.getenv("MYSQL_PASSWORD"),
+        database=os.getenv("MYSQL_DATABASE")
+    )
+
+    # Prepare the query
+    query = f"""
+        SELECT DATE_FORMAT(sr.reportingdate, '%Y-%m') AS month, 
+               COUNT(DISTINCT sr.username) as count
+        FROM Kunden.`services.reporting` sr
+        JOIN Kunden.services s ON sr.service_ID = s.service_ID
+        WHERE sr.customer_ID = {customer_id}
+          AND sr.service_ID = {service_id} 
+          AND sr.username NOT LIKE '%admin%' 
+          AND sr.username NOT LIKE '%test%' 
+          AND sr.reportingdate BETWEEN '{start_date}' AND '{end_date}'
+        GROUP BY DATE_FORMAT(sr.reportingdate, '%Y-%m')
+        ORDER BY DATE_FORMAT(sr.reportingdate, '%Y-%m');
+    """
+
+    service_reporting = pd.read_sql_query(query, mydb)
+    mydb.close()
+    return service_reporting
+
+
+def get_initial_data():
+    mydb = mysql.connector.connect(
+        host=os.getenv("MYSQL_HOST"),
+        user=os.getenv("MYSQL_USER"),
+        password=os.getenv("MYSQL_PASSWORD"),
+        database=os.getenv("MYSQL_DATABASE")
+    )
+    # Fetch unique service IDs and names
+    service_id_query = """
+        SELECT DISTINCT s.service_ID, s.name
+        FROM Kunden.`services.reporting` sr
+        JOIN Kunden.services s ON sr.service_ID = s.service_ID
+    """
+    service_ids = pd.read_sql_query(service_id_query, mydb)
+
+    # Fetch customer information
+    customer_query = """
+        SELECT c.customer_ID, c.customer, co.companyname
+        FROM Kunden.company co
+        JOIN Kunden.customers c ON co.customer_ID = c.customer_ID
+        JOIN Kunden.`services.reporting`sr ON sr.customer_ID = co.customer_ID
+        GROUP BY c.customer_ID, c.customer, co.companyname;
+    """
+    customers = pd.read_sql_query(customer_query, mydb)
+
+    # Fetch date range
+    date_query = """
+        SELECT MIN(reportingdate) AS min_date, MAX(reportingdate) AS max_date 
+        FROM Kunden.`services.reporting`
+    """
+    date_range = pd.read_sql_query(date_query, mydb)
+    mydb.close()
+
+    return service_ids, customers, date_range
+
+def generate_month_range(min_date, max_date):
+    months = pd.date_range(start=min_date, end=max_date, freq='MS').strftime("%Y-%m").tolist()
+    return months
+
+def services_reporting():
+    st.title("Reporting :mag_right:")
+    # Get initial data for widgets
+    initial_service_ids, customers, initial_date_range = get_initial_data()
+    # Combine service_ID and name for display
+    service_options = initial_service_ids.apply(lambda row: f"{row['service_ID']} - {row['name']}", axis=1)
+
+    # Add selection widget for customer ID
+    selected_customer = st.selectbox(
+        'Select Customer',
+        customers.apply(lambda row: f"{row['customer_ID']} - {row['companyname']} - {row['customer']}", axis=1).tolist()
+    )
+
+    # Extract customer_ID from selected option
+    selected_customer_id = int(selected_customer.split(' - ')[0])
+
+    # Add selection widget for service ID
+    selected_service = st.selectbox(
+        'Select Service',
+        service_options.tolist()
+    )
+
+    # Extract service_ID from selected option
+    selected_service_id = int(selected_service.split(' - ')[0])
+
+    # Convert date range to datetime objects
+    min_date = initial_date_range['min_date'][0]
+    max_date = initial_date_range['max_date'][0]
+
+    # Generate month options for dropdown
+    month_options = generate_month_range(min_date, max_date)
+
+    # Add dropdown for start and end months
+    start_month = st.selectbox('Start Month', month_options)
+    end_month = st.selectbox('End Month', month_options, index=len(month_options) - 1)
+
+    # Convert 'YYYY-MM' to 'YYYY-MM-DD' format for SQL query
+    start_date = datetime.strptime(start_month, '%Y-%m').date().replace(day=1)
+    end_date = datetime.strptime(end_month, '%Y-%m').date().replace(day=1)
+    end_date = (end_date.replace(day=28) + pd.DateOffset(days=4)).replace(day=1) - pd.DateOffset(days=1)  # last day of the month
+
+    # Add a button to apply filters
+    if st.button('Apply Filters'):
+        # Fetch filtered data from the database
+        filtered_data = get_filtered_data(selected_customer_id, selected_service_id, start_date, end_date)
+
+        # Sort the data by month
+        filtered_data = filtered_data.sort_values('month')
+
+        # Create a bar chart with the filtered data
+        if not filtered_data.empty:
+            st.bar_chart(filtered_data.set_index('month')['count'])
+        else:
+            st.write("No data available for the selected filters.")