Update app.py

app.py

@@ -11,6 +11,8 @@ from datetime import datetime
 from reportlab.lib.pagesizes import letter
 from reportlab.pdfgen import canvas
 from reportlab.lib.utils import simpleSplit
+from reportlab.pdfbase import pdfmetrics
+from reportlab.pdfbase.ttfonts import TTFont
 from io import BytesIO
 import matplotlib.pyplot as plt
 import seaborn as sns
@@ -106,7 +108,17 @@ def generate_pdf_report(phase, weather, absentee_pct, delay_log, prediction, ris
     try:
         buffer = BytesIO()
         c = canvas.Canvas(buffer, pagesize=letter)
-        c.setFont("Helvetica", 12)
+        
+        # Register DejaVuSans font to support Unicode emojis
+        try:
+            # Assuming DejaVuSans.ttf is available in the project directory
+            pdfmetrics.registerFont(TTFont('DejaVuSans', 'DejaVuSans.ttf'))
+            c.setFont("DejaVuSans", 12)
+            flag_indicator = " 🚩" if prediction >= 75 else ""
+        except Exception as e:
+            print(f"Failed to load DejaVuSans font: {e}. Falling back to Helvetica with text flag.")
+            c.setFont("Helvetica", 12)
+            flag_indicator = " [FLAG]" if prediction >= 75 else ""
         
         c.drawString(100, 750, "Project Delay Prediction Report")
         c.drawString(100, 730, f"Generated on: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
@@ -119,20 +131,20 @@ def generate_pdf_report(phase, weather, absentee_pct, delay_log, prediction, ris
             f"Weather: {weather}",
             f"Absentee Percentage: {absentee_pct}%",
             f"Previous Delay Log: {delay_log}",
-            f"Predicted Delay: {prediction}%{' 🚩' if prediction >= 75 else ''}",
+            f"Predicted Delay: {prediction}%{flag_indicator}",
             f"Risk Level: {risk}",
             "AI Insight:"
         ]
         
         # Wrap and draw each line properly
         for line in details:
-            lines = simpleSplit(line, 'Helvetica', 12, max_width)
+            lines = simpleSplit(line, 'DejaVuSans' if 'DejaVuSans' in pdfmetrics.getRegisteredFontNames() else 'Helvetica', 12, max_width)
             for wrapped_line in lines:
                 c.drawString(100, y_position, wrapped_line)
                 y_position -= 16
         
         # Wrap and draw insight (which may be long)
-        insight_lines = simpleSplit(insight, 'Helvetica', 12, max_width)
+        insight_lines = simpleSplit(insight, 'DejaVuSans' if 'DejaVuSans' in pdfmetrics.getRegisteredFontNames() else 'Helvetica', 12, max_width)
         for wrapped_line in insight_lines:
             c.drawString(100, y_position, wrapped_line)
             y_position -= 16