Update app.py

app.py

@@ -368,48 +368,55 @@ def save_to_google_storage(bucket_name, file_path, destination_blob_name, expira
     return signed_url
 
 # Function to generate and save a document
-def generate_document(task_description, md_content, user_name = 'jayw', bucket_name='curify'):
-    logger.debug("starting to generate document")
+def generate_document(task_description, md_content, user_name='jayw', bucket_name='curify'):
+    logger.debug("Starting to generate document")
+
     # Hash the task description to generate a unique filename
     task_hash = generate_task_hash(task_description)
-    
+
     # Truncate the hash if needed (64 characters is sufficient for uniqueness)
     max_hash_length = 64  # Adjust if needed
     truncated_hash = task_hash[:max_hash_length]
-        
+
     # Generate PDF file locally
     local_filename = f"{truncated_hash}.pdf"  # Use the truncated hash as the local file name
     pdf = FPDF()
     pdf.add_page()
-    # Use a font that supports Unicode
-    pdf.add_font('ArialUnicode', '', '/path/to/arial-unicode-ms.ttf', uni=True)
-    pdf.set_font("ArialUnicode", size=12)
+
+    # Use a unified font that supports Unicode (e.g., NotoSansCJK)
+    font_path = 'NotoSansCJK-Regular.ttc'
+    try:
+        pdf.add_font('NotoSansCJK', '', font_path, uni=True)
+        pdf.set_font('NotoSansCJK', size=12)
+    except Exception as e:
+        logger.error(f"Error loading font from {font_path}: {e}")
+        raise RuntimeError("Failed to load the unified font. Ensure the font file is accessible.")
 
     # Process dictionary and render content
     for key, value in md_content.items():
         # Add key as a header
-        pdf.set_font("ArialUnicode", style='B', size=12)  # Bold font for headers
+        pdf.set_font('NotoSansCJK', style='B', size=12)  # Bold font for headers
         pdf.multi_cell(0, 10, f"# {key}")
-        
+
         # Add value
-        pdf.set_font("Arial", size=12)  # Regular font for content
+        pdf.set_font('NotoSansCJK', size=12)  # Regular font for content
         if isinstance(value, list):  # Handle lists
             for item in value:
                 pdf.multi_cell(0, 10, f"- {item}")
         else:  # Handle single strings
             pdf.multi_cell(0, 10, value)
 
+    # Output the PDF to a local file
     pdf.output(local_filename)
-    
+
     # Organize files into user-specific folders
     destination_blob_name = f"{user_name}/{truncated_hash}.pdf"
 
     # Upload to Google Cloud Storage and get the public URL
     public_url = save_to_google_storage(bucket_name, local_filename, destination_blob_name)
-    logger.debug("finished generating document")
+    logger.debug("Finished generating document")
     return public_url
 
-
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