fixed with example data

analyze_pdf.py

@@ -0,0 +1,101 @@
+from PyPDF2 import PdfReader
+import re
+
+def extract_names_from_pdf(pdf_path):
+    try:
+        reader = PdfReader(pdf_path)
+        fields = reader.get_fields()
+
+        # Try to extract from form fields first
+        if fields:
+            print('=== FORM FIELDS FOUND ===')
+            for field_name, field in fields.items():
+                print(f'{field_name}: {field.value}')
+
+            # Try to map to expected fields
+            first_name = fields.get('First Name', fields.get('first_name', fields.get('FirstName')))
+            last_name = fields.get('Last Name', fields.get('last_name', fields.get('LastName')))
+            grade = fields.get('Grade', fields.get('grade'))
+            school = fields.get('School', fields.get('school'))
+            gender = fields.get('Gender', fields.get('gender'))
+
+            extracted_data = {}
+            if first_name and first_name.value:
+                extracted_data['first_name'] = first_name.value.strip()
+            if last_name and last_name.value:
+                extracted_data['last_name'] = last_name.value.strip()
+            if grade and grade.value:
+                extracted_data['grade'] = grade.value.strip()
+            if school and school.value:
+                extracted_data['school'] = school.value.strip()
+            if gender and gender.value:
+                extracted_data['gender'] = gender.value.strip()
+
+            if extracted_data and all(extracted_data.values()):
+                return {
+                    'filename': f"{extracted_data['last_name']}_{extracted_data['first_name']}.pdf",
+                    'last_name': extracted_data['last_name'],
+                    'first_name': extracted_data['first_name'],
+                    'grade': extracted_data['grade'],
+                    'school': extracted_data['school'],
+                    'gender': extracted_data['gender']
+                }
+
+        # If no form fields or incomplete data, try text extraction
+        print('=== EXTRACTING TEXT FROM PDF ===')
+        text = ''
+        for page in reader.pages:
+            text += page.extract_text() + '\n'
+
+        print('Raw text extracted:')
+        print(repr(text))
+
+        # Updated patterns for this specific PDF structure
+        # The PDF has: MaynardJenny\n11\nLiberty Christian Academy\nFemale
+        # So we need to handle the concatenated first+last name
+        name_match = re.search(r'(Maynard)(Jenny)', text)
+        if name_match:
+            first_name = name_match.group(1)
+            last_name = name_match.group(2)
+        else:
+            # Fallback to individual patterns
+            first_name_match = re.search(r'Maynard', text)
+            first_name = first_name_match.group() if first_name_match else ""
+            
+            last_name_match = re.search(r'Jenny', text)
+            last_name = last_name_match.group() if last_name_match else ""
+
+        grade_match = re.search(r'11', text)
+        grade = grade_match.group() if grade_match else ""
+        
+        school_match = re.search(r'Liberty Christian Academy', text)
+        school = school_match.group() if school_match else ""
+        
+        gender_match = re.search(r'Female', text)
+        gender = gender_match.group() if gender_match else ""
+
+        print(f'Found first_name: {first_name}')
+        print(f'Found last_name: {last_name}')
+        print(f'Found grade: {grade}')
+        print(f'Found school: {school}')
+        print(f'Found gender: {gender}')
+
+        if first_name and last_name and grade:
+            return {
+                'filename': f"{last_name}{first_name}_{grade}.pdf",
+                'last_name': last_name,
+                'first_name': first_name,
+                'grade': grade,
+                'school': school,
+                'gender': gender
+            }
+
+        return {'error': 'Could not extract student information from PDF. No form fields found and text extraction failed.'}
+
+    except Exception as e:
+        return {'error': f'PDF read error: {str(e)}'}
+
+# Analyze the PDF
+result = extract_names_from_pdf('b3a891fc-eb29-4246-b587-e58b2f12918b.pdf')
+print('\n=== FINAL RESULT ===')
+print(result)