Create farm_report.py

farm_report.py

@@ -0,0 +1,45 @@
+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()