import streamlit as st
import pandas as pd
import mysql.connector
from datetime import datetime
import os
from dotenv import load_dotenv

load_dotenv()


def get_filtered_server(customer_id, service_id, service_status):
    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 base query
    query = f"""
            select s.hostname,s.privat_ipaddress,s.public_ipaddress, s.ram, s.createdate, s.disabledate,s.customer_ID,s.server_ID,hc.name,hc.core 
            from Kunden.server s
            join Kunden.`hardware.cpu` hc ON hc.cpu_ID = s.cpu_ID
            WHERE 1=1
    """
    if customer_id:
        query += f"AND s.customer_ID = {customer_id}"
    if service_id:
        query += f" AND s.service_ID = {service_id}"
    if service_status:
        query += f" AND s.status = {service_status}"

    users = pd.read_sql_query(query, mydb)
    print(query)
    mydb.close()
    return users


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 s
    """
    service_ids = pd.read_sql_query(service_id_query, mydb)

    # Fetch customer information
    customer_query = """
        SELECT DISTINCT c.customer_ID, c.customer, co.companyname
        FROM Kunden.company co
        JOIN Kunden.customers c ON co.customer_ID = c.customer_ID
    """
    customers = pd.read_sql_query(customer_query, mydb)

    mydb.close()
    return service_ids, customers


def server_filter():
    st.title("Server Filter :mag_right:")
    # Get initial data for widgets
    initial_service_ids, customers = 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',
        ["All"] + customers.apply(lambda row: f"{row['customer_ID']} - {row['companyname']} - {row['customer']}",
                                  axis=1).tolist()
    )

    # Extract customer_ID from selected option
    selected_customer_id = None if selected_customer == "All" else int(selected_customer.split(' - ')[0])

    # Add selection widget for service ID
    selected_service = st.selectbox(
        'Select Service',
        ["All"] + service_options.tolist()
    )

    # Extract service_ID from selected option
    selected_service_id = None if selected_service == "All" else int(selected_service.split(' - ')[0])

    # Add selection widget for service status
    selected_status = st.selectbox(
        'Select Service Status',
        ["All", "1 - Active", "0 - Inactive"]
    )

    # Extract status from selected option
    service_status = None if selected_status == "All" else int(selected_status.split(' - ')[0])

    # Add a button to apply filters
    if st.button('Apply Filters'):
        # Fetch filtered data from the database
        filtered_data = get_filtered_server(selected_customer_id, selected_service_id, service_status)

        # Display the filtered data
        if not filtered_data.empty:
            st.dataframe(filtered_data)
        else:
            st.write("No data available for the selected filters.")