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()

st.set_page_config(page_title="Reporting")

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.")