farm_report.py

import pandas as pd
import streamlit as st

def load_data():
    # Read the Excel file
    farms_df = pd.read_excel('نصب چاهک.xlsx')
    return farms_df

def main():
    st.set_page_config(page_title="گزارش مزارع", layout="wide")
    st.title("گزارش مزارع")
    
    # Load data
    farms_df = load_data()
    
    # Get unique administrations
    administrations = farms_df['اداره'].unique().tolist()
    
    # Add administration filter
    selected_admin = st.selectbox("انتخاب اداره", administrations)
    
    # Filter farms by selected administration
    filtered_farms = farms_df[farms_df['اداره'] == selected_admin]
    
    # Calculate statistics
    total_farms = len(filtered_farms)
    remaining_farms = len(filtered_farms[filtered_farms['وضعیت'] == 'در انتظار'])
    completed_farms = total_farms - remaining_farms
    
    # Display statistics in a row
    st.subheader("آمار کلی")
    col1, col2, col3 = st.columns(3)
    with col1:
        st.metric("تعداد کل مزارع", total_farms)
    with col2:
        st.metric("مزارع تکمیل شده", completed_farms)
    with col3:
        st.metric("مزارع باقی‌مانده", remaining_farms)
    
    # Display filtered farms
    st.subheader(f"مزارع اداره {selected_admin}")
    st.dataframe(filtered_farms)

if __name__ == "__main__":
    main()