Upload trend_report.py

trend_report.py

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+import pandas as pd
+import io
+from openpyxl.styles import Alignment, Font, Border, Side, PatternFill
+
+def generate_trend_report_excel(df1, df2):
+    """
+    df1: DataFrame of Base Semester (columns: USN, Name, SGPA, Marks, Pass_Percent)
+    df2: DataFrame of Current Semester (columns: USN, Name, SGPA, Marks, Pass_Percent)
+    """
+    # Merge on USN
+    df_trend = pd.merge(df1, df2, on='USN', suffixes=('_Sem1', '_Sem2'))
+    
+    if df_trend.empty:
+        output = io.BytesIO()
+        with pd.ExcelWriter(output, engine='openpyxl') as writer:
+            pd.DataFrame({'Message': ['No matching USNs found between the two datasets.']}).to_excel(writer, index=False)
+        output.seek(0)
+        return output
+
+    # Calculate Deltas
+    # SGPA
+    df_trend['SGPA_Sem1'] = pd.to_numeric(df_trend['SGPA_Sem1'], errors='coerce').fillna(0)
+    df_trend['SGPA_Sem2'] = pd.to_numeric(df_trend['SGPA_Sem2'], errors='coerce').fillna(0)
+    df_trend['SGPA_Delta'] = df_trend['SGPA_Sem2'] - df_trend['SGPA_Sem1']
+    
+    # Identify Toppers/Improvers
+    df_trend['Status'] = df_trend['SGPA_Delta'].apply(lambda x: 'Improved' if x > 0 else ('Dropped' if x < 0 else 'Same'))
+
+    # Prepare for output
+    output_cols = ['USN', 'Name_Sem2', 'SGPA_Sem1', 'SGPA_Sem2', 'SGPA_Delta', 'Status']
+    df_out = df_trend[output_cols].copy()
+    df_out.rename(columns={'Name_Sem2': 'Name', 'SGPA_Sem1': 'Base SGPA', 'SGPA_Sem2': 'Current SGPA', 'SGPA_Delta': 'SGPA Change'}, inplace=True)
+    
+    # Sort by biggest improvement
+    df_out = df_out.sort_values(by='SGPA Change', ascending=False)
+
+    output = io.BytesIO()
+    with pd.ExcelWriter(output, engine='openpyxl') as writer:
+        df_out.to_excel(writer, sheet_name='Student Trend Analysis', index=False)
+        ws = writer.sheets['Student Trend Analysis']
+        
+        # Formatting
+        header_font = Font(bold=True, color="FFFFFF")
+        dark_fill = PatternFill(start_color="2F75B5", end_color="2F75B5", fill_type="solid")
+        green_fill = PatternFill(start_color="C6EFCE", end_color="C6EFCE", fill_type="solid")
+        red_fill = PatternFill(start_color="FFC7CE", end_color="FFC7CE", fill_type="solid")
+        thin_border = Border(left=Side(style='thin'), right=Side(style='thin'), top=Side(style='thin'), bottom=Side(style='thin'))
+
+        # Header
+        for cell in ws[1]:
+            cell.font = header_font
+            cell.fill = dark_fill
+            cell.border = thin_border
+            
+        # Rows
+        for row in ws.iter_rows(min_row=2):
+            for cell in row:
+                cell.border = thin_border
+            
+            # Color Deltas
+            delta_cell = row[4] # SGPA Change
+            if delta_cell.value and isinstance(delta_cell.value, (int, float)):
+                if delta_cell.value > 0:
+                    delta_cell.fill = green_fill
+                elif delta_cell.value < 0:
+                    delta_cell.fill = red_fill
+                    
+        # Widths
+        from openpyxl.utils import get_column_letter
+        for col in ws.columns:
+            max_length = 0
+            column = get_column_letter(col[0].column)
+            for cell in col:
+                try:
+                    if len(str(cell.value)) > max_length:
+                        max_length = len(cell.value)
+                except: pass
+            ws.column_dimensions[column].width = min(max_length + 2, 50)
+            
+    output.seek(0)
+    return output