import pandas as pd from reportlab.lib.pagesizes import letter from reportlab.lib import colors from reportlab.lib.units import inch from reportlab.platypus import SimpleDocTemplate, Table, TableStyle, Paragraph, Spacer, Image, PageBreak from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.lib.enums import TA_CENTER, TA_LEFT from datetime import datetime import random import os reports_df = pd.read_csv('indiana_reports.csv') projections_df = pd.read_csv('indiana_projections.csv') def header_footer(canvas, doc): canvas.saveState() canvas.setFillColor(colors.HexColor('#1a365d')) canvas.setFont('Helvetica-Bold', 14) canvas.drawString(0.75*inch, letter[1] - 0.5*inch, "ST. LUKE'S MEDICAL CENTER") canvas.setFont('Helvetica', 9) canvas.setFillColor(colors.HexColor('#4a5568')) canvas.drawString(0.75*inch, letter[1] - 0.65*inch, "Global City • We love life") canvas.setFont('Helvetica-Bold', 11) canvas.setFillColor(colors.HexColor('#2b6cb0')) canvas.drawRightString(letter[0] - 0.75*inch, letter[1] - 0.5*inch, "DIAGNOSTIC X-RAY") canvas.setStrokeColor(colors.HexColor('#e2e8f0')) canvas.setLineWidth(0.5) canvas.line(0.75*inch, letter[1] - 0.75*inch, letter[0] - 0.75*inch, letter[1] - 0.75*inch) canvas.setFont('Helvetica', 8) canvas.setFillColor(colors.HexColor('#718096')) canvas.drawCentredString(letter[0]/2, 0.5*inch, f"Page {doc.page} of 2 | Validated: {datetime.now().strftime('%d-%b-%Y %I:%M %p')}") canvas.drawCentredString(letter[0]/2, 0.35*inch, "This report has been electronically signed and validated. No signature is required.") canvas.restoreState() def create_radiology_report(uid, report_row, output_filename, report_num): doc = SimpleDocTemplate(output_filename, pagesize=letter, rightMargin=0.75*inch, leftMargin=0.75*inch, topMargin=1*inch, bottomMargin=0.8*inch) story = [] styles = getSampleStyleSheet() section_style = ParagraphStyle( 'Section', parent=styles['Heading2'], fontSize=11, textColor=colors.HexColor('#1a365d'), spaceAfter=6, spaceBefore=10, fontName='Helvetica-Bold' ) body_style = ParagraphStyle( 'Body', parent=styles['Normal'], fontSize=10, leading=14, textColor=colors.HexColor('#2d3748'), alignment=TA_LEFT ) patient_id = f"{random.randint(1000000000, 9999999999)}" exam_date = datetime.now().strftime("%d-%b-%Y") exam_time = datetime.now().strftime("%I:%M %p") dob = f"{random.randint(1,28)}-{random.choice(['JAN','FEB','MAR','APR','MAY','JUN','JUL','AUG','SEP'])}-{random.randint(1950,2000)}" age = random.randint(25,85) gender = random.choice(['M', 'F']) print(f"\n{'='*70}") print(f" REPORT #{report_num} - UID: {uid}") print(f"{'='*70}") print(f" Patient ID: {patient_id}") print(f" Exam Date: {exam_date} {exam_time}") print(f" Age/Gender: {age}Y / {gender}") projection_rows_list = projections_df[projections_df['uid'] == uid] print(f" Images Expected: {len(projection_rows_list)}") images_found_count = 0 for idx, proj_row in projection_rows_list.iterrows(): filename = proj_row['filename'] image_path = f"images/{filename}" if os.path.exists(image_path): exists = "✓" images_found_count += 1 else: exists = "✗" print(f" {exists} {filename}") indication = report_row.get('indication', '') findings = report_row.get('findings', '') impression = report_row.get('impression', '') print(f"\n History: {str(indication)[:60]}..." if len(str(indication)) > 60 else f"\n History: {indication}") print(f" Findings: {str(findings)[:60]}..." if len(str(findings)) > 60 else f" Findings: {findings}") print(f" Impression: {str(impression)[:60]}..." if len(str(impression)) > 60 else f" Impression: {impression}") patient_name = random.choice(['DE LEON, Debbie Dichoco', 'SANTOS, Maria Clara', 'CRUZ, Juan Pedro', 'SOLOMON, Jannica Mica Estolano']) referring_physician = random.choice(['ANG, SAMUEL DEE M.D.', 'REYES, MARIA SANTOS M.D.', 'CRUZ, JOSE ANTONIO M.D.']) patient_info = [ ['', '', Paragraph(f"DATE OF BIRTH:", body_style), Paragraph(dob, body_style), Paragraph(f"AGE:", body_style), Paragraph(f"{age} year/s", body_style)], [Paragraph(f"{patient_id}", body_style), '', '', '', Paragraph(f"GENDER:", body_style), Paragraph(gender, body_style)], [Paragraph(f"{patient_name}", body_style), '', '', '', '', ''], [Paragraph(f"ROOM/BED:", body_style), Paragraph("OutPatient", body_style), Paragraph(f"REFERRING
PHYSICIAN:
", body_style), Paragraph(referring_physician, body_style), Paragraph(f"DATE/TIME OF
EXAM:
", body_style), Paragraph(f"{exam_date}
{exam_time}", body_style)], ['', '', '', '', Paragraph(f"DATE/TIME OF
REQUEST:
", body_style), Paragraph(f"{exam_date}
{exam_time}", body_style)] ] patient_table = Table(patient_info, colWidths=[1.3*inch, 1.2*inch, 1.2*inch, 1.4*inch, 1.2*inch, 1.2*inch]) patient_table.setStyle(TableStyle([ ('VALIGN', (0, 0), (-1, -1), 'TOP'), ('ALIGN', (0, 0), (-1, -1), 'LEFT'), ('BOTTOMPADDING', (0, 0), (-1, -1), 3), ('TOPPADDING', (0, 0), (-1, -1), 3), ('LEFTPADDING', (0, 0), (-1, -1), 0), ('RIGHTPADDING', (0, 0), (-1, -1), 5), ])) story.append(patient_table) story.append(Spacer(1, 0.25*inch)) story.append(Paragraph("EXAMINATION:", section_style)) story.append(Paragraph("CHEST", body_style)) story.append(Spacer(1, 0.1*inch)) if pd.notna(indication) and str(indication).strip() and str(indication).lower() not in ['none', 'nan', '']: story.append(Paragraph("HISTORY:", section_style)) clean_indication = str(indication).replace('XXXX', '[redacted]') story.append(Paragraph(clean_indication, body_style)) story.append(Spacer(1, 0.1*inch)) comparison = report_row.get('comparison', '') if pd.notna(comparison) and str(comparison).strip() and str(comparison).lower() not in ['none', 'none.', 'nan', '']: story.append(Paragraph("COMPARISON:", section_style)) clean_comparison = str(comparison).replace('XXXX', '[redacted]') story.append(Paragraph(clean_comparison, body_style)) story.append(Spacer(1, 0.1*inch)) if len(projection_rows_list) > 0: techniques = ", ".join([row['projection'] for _, row in projection_rows_list.iterrows()]) story.append(Paragraph("TECHNIQUE:", section_style)) story.append(Paragraph(f"{techniques} view", body_style)) story.append(Spacer(1, 0.1*inch)) story.append(Paragraph("FINDINGS:", section_style)) if pd.notna(findings) and str(findings).strip() and str(findings).lower() != 'nan': clean_findings = str(findings).replace('XXXX', '[redacted]') story.append(Paragraph(clean_findings, body_style)) else: story.append(Paragraph("No significant findings.", body_style)) story.append(Spacer(1, 0.1*inch)) story.append(Paragraph("IMPRESSION:", section_style)) if pd.notna(impression) and str(impression).strip() and str(impression).lower() != 'nan': clean_impression = str(impression).replace('XXXX', '[redacted]') story.append(Paragraph(clean_impression, body_style)) else: story.append(Paragraph("Normal chest radiograph.", body_style)) story.append(Spacer(1, 0.2*inch)) approval_data = [ [Paragraph("Approved By:", body_style), ''] ] signature_path = "images/signature.jpg" radiologist_name = random.choice(['JOSE ANTONIO CRUZ', 'NERELLA KRISHNA TEJA', 'MARIA ELENA SANTOS', 'MICHAEL VINCENTO CORSINO']) if os.path.exists(signature_path): sig_img = Image(signature_path, width=1.2*inch, height=0.4*inch) approval_data.append([sig_img, '']) approval_data.append([Paragraph(f"{radiologist_name}, M.D. (Radiologist)", body_style), '']) approval_data.append([Paragraph(f"MBBS, MD RADIO DIAGNOSIS | REG NO. APMC/FMR/{random.randint(90000, 99999)}", ParagraphStyle('Small', parent=body_style, fontSize=8)), '']) approval_table = Table(approval_data, colWidths=[3*inch, 4*inch]) approval_table.setStyle(TableStyle([ ('VALIGN', (0, 0), (-1, -1), 'TOP'), ('ALIGN', (0, 0), (0, -1), 'LEFT'), ('BOTTOMPADDING', (0, 0), (-1, -1), 2), ('TOPPADDING', (0, 0), (-1, -1), 2), ])) story.append(approval_table) story.append(PageBreak()) if len(projection_rows_list) > 0: images_found = [] for _, proj_row in projection_rows_list.iterrows(): filename = proj_row['filename'] image_path = f"images/{filename}" if os.path.exists(image_path): try: projection_label = proj_row.get('projection', 'View') images_found.append((image_path, projection_label)) except Exception as e: print(f" ✗ Error checking image {image_path}: {e}") print(f"\n Images Embedded: {len(images_found)}") if images_found: image_table_data = [] for i in range(0, len(images_found), 2): row_images = [] for j in range(2): if i + j < len(images_found): img_path, label = images_found[i + j] try: img = Image(img_path, width=3*inch, height=3*inch) caption = Paragraph(f"{label} View", ParagraphStyle('Caption', parent=body_style, alignment=TA_CENTER, fontSize=10)) cell = Table([[img], [caption]], colWidths=[3*inch]) cell.setStyle(TableStyle([ ('ALIGN', (0, 0), (-1, -1), 'CENTER'), ('VALIGN', (0, 0), (-1, -1), 'MIDDLE'), ])) row_images.append(cell) except Exception as e: print(f" ✗ Could not load image {img_path}: {e}") row_images.append('') else: row_images.append('') if row_images: image_table_data.append(row_images) if image_table_data: image_table = Table(image_table_data, colWidths=[3.3*inch, 3.3*inch]) image_table.setStyle(TableStyle([ ('ALIGN', (0, 0), (-1, -1), 'CENTER'), ('VALIGN', (0, 0), (-1, -1), 'TOP'), ('LEFTPADDING', (0, 0), (-1, -1), 10), ('RIGHTPADDING', (0, 0), (-1, -1), 10), ('TOPPADDING', (0, 0), (-1, -1), 15), ('BOTTOMPADDING', (0, 0), (-1, -1), 15), ])) story.append(image_table) doc.build(story, onFirstPage=header_footer, onLaterPages=header_footer) print(f"\n ✓ PDF Created: {output_filename}") print(f"{'='*70}\n") output_dir = "generated_reports" os.makedirs(output_dir, exist_ok=True) sample_reports = reports_df.head(5) print("\n" + "="*70) print(" RADIOLOGY REPORT GENERATOR") print("="*70) print(f" Total Reports: {len(sample_reports)}") print(f" Output Directory: {output_dir}/") print("="*70) for idx, (_, report_row) in enumerate(sample_reports.iterrows(), 1): uid = report_row['uid'] output_filename = f"{output_dir}/radiology_report_{idx}.pdf" create_radiology_report(uid, report_row, output_filename, idx) print("\n" + "="*70) print(f" ✓ ALL REPORTS GENERATED SUCCESSFULLY!") print(f" ✓ Location: {output_dir}/") print("="*70 + "\n")