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

load_dotenv()
total_time_unit = []

def get_filtered_users(customer_id):
    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 number,title,createdate,time FROM Kunden.tickets
        WHERE 1=1
        """
    if customer_id:
        query += f"AND customer_ID = {customer_id} order by createdate"

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

    for column in users.select_dtypes(include=['datetime64[ns]', 'datetime64[ns, UTC]']).columns:
        users[column] = users[column].dt.strftime('%d.%m.%Y')

    users.iloc[:, 3] = users.iloc[:, 3].str.split('.').str[0]
    users['time'] = users['time'].astype(int)

    base_url = "https://ticket.stines.de/#ticket/zoom/number/"  # Replace with your actual base URL
    users['Link'] = users['number'].apply(lambda x: f'<a href="{base_url}{x}" target="_blank">{x}</a>')

    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 run_script_and_list_documents():
    output_area = st.empty()  # Platzhalter für die Ausgabe
    document_paths = []  # Liste der erstellten Dokumente

    # Verzeichnis, in dem das Skript ausgeführt werden soll
    working_directory = "apps/ticket_export/exports"

    # Führe das Skript in dem angegebenen Verzeichnis aus
    result = subprocess.run(
        ["python3", "apps/ticket_export/main.py"],
        capture_output=True,
        text=True
    )

    # Suche nach den erstellten Dokumenten im Arbeitsverzeichnis
    for filename in os.listdir("apps/ticket_export/exports"):
        if filename.endswith(".docx"):
            full_path = os.path.join(working_directory, filename)
            document_paths.append(full_path)

    # Zeige die Liste der erstellten Dokumente an und biete sie zum Download an
    if document_paths:
        st.write("Erstellte Dokumente:")
        for doc_path in document_paths:
            with open(doc_path, "rb") as file:
                st.download_button(
                    label=f"Download {os.path.basename(doc_path)}",
                    data=file,
                    file_name=os.path.basename(doc_path),
                    mime="application/vnd.openxmlformats-officedocument.wordprocessingml.document"
                )
    else:
        st.write("Keine Dokumente gefunden.")

def ticket_filter():
    st.title("Ticket Filter :mag_right:")
    # Get initial data for widgets
    initial_service_ids, customers = get_initial_data()

    # 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])

    if st.button("Rechnung erstellen"):
        st.write("Das Skript wird ausgeführt...")
        run_script_and_list_documents()

    # Add a button to apply filters
    if st.button('Apply Filters'):
        # Fetch filtered data from the database
        filtered_data = get_filtered_users(selected_customer_id)
        if not filtered_data.empty:
            # st.dataframe(filtered_data,hide_index=True)
            st.markdown(filtered_data.to_html(escape=False), unsafe_allow_html=True)
            # Convert DataFrame to CSV
            csv = filtered_data.drop(columns=['Link']).to_csv(index=False)

            st.write(f"Total Time Unit: {filtered_data['time'].sum()}")

            # Create a download button with a custom file name
            st.download_button(
                label="Download CSV",
                data=csv,
                file_name=f"filtered_data_{selected_customer}.csv",  # Custom file name
                mime='text/csv',
            )

        else:
            st.write("No data available for the selected filters.")