Delete data_handler.py

data_handler.py

@@ -1,87 +0,0 @@
-import pandas as pd
-import streamlit as st
-import ee
-
-@st.cache_data
-def load_data(file_path='output (1).csv'):
-    """Load and preprocess farm data from CSV file"""
-    try:
-        df = pd.read_csv(file_path)
-        
-        # Convert coordinate columns to numeric
-        df['طول جغرافیایی'] = pd.to_numeric(df['طول جغرافیایی'], errors='coerce')
-        df['عرض جغرافیایی'] = pd.to_numeric(df['عرض جغرافیایی'], errors='coerce')
-        
-        # Remove rows with invalid coordinates
-        df = df[~((df['طول جغرافیایی'] == 0) | (df['عرض جغرافیایی'] == 0) | 
-                  df['طول جغرافیایی'].isna() | df['عرض جغرافیایی'].isna())]
-        
-        # Create display columns
-        df['مزرعه_نمایشی'] = df['مزرعه'].astype(str)
-        
-        return df
-    except Exception as e:
-        st.error(f"Error reading CSV file: {e}")
-        return None
-
-def filter_by_day(df, day):
-    """Filter dataframe by day of week"""
-    return df[df['روزهای هفته'] == day]
-
-def get_farm_data(df, farm_id):
-    """Get data for a specific farm"""
-    farm_data = df[df['مزرعه'] == farm_id]
-    if len(farm_data) > 0:
-        return farm_data.iloc[0]
-    return None
-
-def create_aoi_from_point(lon, lat, buffer_distance=500):
-    """Create an area of interest (buffer) around a point"""
-    point = ee.Geometry.Point([lon, lat])
-    return point.buffer(buffer_distance)
-
-def calculate_index_values_for_farms(farms_to_compare, filtered_df, start_date, end_date, indices, get_sentinel_imagery):
-    """Calculate index values for multiple farms"""
-    index_values = {}
-    
-    for farm_id in farms_to_compare:
-        farm_data = filtered_df[filtered_df['مزرعه'] == farm_id].iloc[0]
-        center_lat = farm_data['عرض جغرافیایی']
-        center_lon = farm_data['طول جغرافیایی']
-        
-        point = ee.Geometry.Point([center_lon, center_lat])
-        aoi = point.buffer(500)
-        
-        imagery = get_sentinel_imagery(start_date.strftime('%Y-%m-%d'), 
-                                     end_date.strftime('%Y-%m-%d'), 
-                                     aoi)
-        
-        if imagery is not None:
-            # Calculate mean indices
-            values = {}
-            for index_name in indices:
-                mean_value = imagery.select(index_name).reduceRegion(
-                    reducer=ee.Reducer.mean(),
-                    geometry=aoi,
-                    scale=10
-                ).get(index_name).getInfo()
-                
-                if mean_value is not None:
-                    values[index_name] = mean_value
-            
-            index_values[farm_id] = values
-    
-    return index_values
-
-def create_comparison_dataframe(farms_to_compare, index_values):
-    """Create a dataframe for comparing farms"""
-    comparison_data = []
-    for farm_id in farms_to_compare:
-        if farm_id in index_values:
-            row = {'مزرعه': farm_id}
-            row.update(index_values[farm_id])
-            comparison_data.append(row)
-    
-    if comparison_data:
-        return pd.DataFrame(comparison_data)
-    return None