Analysis
cd "/tmp/workspace/attachments/d5f17635-8c79-4ef3-8a0d-a81de4d8f36f/" && python3 -c " import pdfplumber with pdfplumber.open('New Doc 07-30-2026 20.10.pdf') as pdf: print(f'Pages: {len(pdf.pages)}') for i, page in enumerate(pdf.pages): text = page.extract_text() print(f'--- Page {i+1} ---') print(text) print() "
cd "/tmp/workspace/attachments/d5f17635-8c79-4ef3-8a0d-a81de4d8f36f/" && python3 -c " from pypdf import PdfReader reader = PdfReader('New Doc 07-30-2026 20.10.pdf') print(f'Pages: {len(reader.pages)}') # Check for images for i, page in enumerate(reader.pages): images = page.images print(f'Page {i+1}: {len(images)} images') for img in images: print(f' Image: {img.name}, size: {len(img.data)} bytes') "
cd "/tmp/workspace/attachments/d5f17635-8c79-4ef3-8a0d-a81de4d8f36f/" && python3 -c " from pypdf import PdfReader import os reader = PdfReader('New Doc 07-30-2026 20.10.pdf') os.makedirs('/tmp/workspace/pdf_images', exist_ok=True) for i, page in enumerate(reader.pages): for j, img in enumerate(page.images): out_path = f'/tmp/workspace/pdf_images/page{i+1}_img{j+1}_{img.name}' with open(out_path, 'wb') as f: f.write(img.data) print(f'Saved: {out_path} ({len(img.data)} bytes)') "
python3 -c " import base64, json files = [ '/tmp/workspace/pdf_images/page1_img2_X2.jpg', '/tmp/workspace/pdf_images/page2_img2_X2.jpg' ] for f in files: with open(f, 'rb') as img: data = img.read() b64 = base64.b64encode(data).decode() # Save as data URI file out = f + '.b64uri.txt' with open(out, 'w') as o: o.write('data:image/jpeg;base64,' + b64) print(f'Saved {out}, size: {len(b64)} chars') "
python3 -c " # Serve the images via a simple HTTP server - check if we can use a file:// URL or need another approach # Let's try reading the b64 data and using it directly import base64 with open('/tmp/workspace/pdf_images/page1_img2_X2.jpg', 'rb') as f: data = f.read() print(f'Page 1 image size: {len(data)} bytes') print(f'First bytes: {data[:10]}') "
# Start a simple HTTP server in background to serve the images cd /tmp/workspace/pdf_images && python3 -m http.server 8765 & sleep 2 echo "Server started, PID: $!" curl -s -o /dev/null -w "%{http_code}" http://localhost:8765/page1_img2_X2.jpg
python3 -c " from PIL import Image import os # Compress the page 2 image so it's under 512KB img = Image.open('/tmp/workspace/pdf_images/page2_img2_X2.jpg') print(f'Original size: {img.size}, mode: {img.mode}') # Resize if too large w, h = img.size if w > 1500: ratio = 1500 / w new_w = int(w * ratio) new_h = int(h * ratio) img = img.resize((new_w, new_h), Image.LANCZOS) print(f'Resized to: {img.size}') out_path = '/tmp/workspace/pdf_images/page2_img2_compressed.jpg' img.save(out_path, 'JPEG', quality=70) size = os.path.getsize(out_path) print(f'Compressed size: {size} bytes ({size/1024:.1f} KB)') "
| Parameter | Result | Significance |
|---|---|---|
| Colour | Brownish | Normal |
| Form & Consistency | Semisolid | Mildly abnormal (normal is formed) - suggests loose/soft stool |
| Mucous | Absent | Normal |
| Blood | Negative | Normal |
| Parameter | Result | Significance |
|---|---|---|
| Occult Blood | Negative | No hidden GI bleeding |
| Reducing Substance | Negative | No malabsorption of sugars (e.g., lactose intolerance unlikely) |
| Parameter | Result | Significance |
|---|---|---|
| Ova | Absent | No parasitic infection |
| Cysts | Absent | No protozoal cysts (Giardia, Entamoeba, etc.) |
| Trophozoites | Absent | No active protozoa |
| Pus Cells (WBCs) | 4-6/hpf | Mildly elevated - suggests intestinal inflammation/infection |
| RBCs | Nil/hpf | No hemorrhagic colitis |
| Crystal | Nil | Normal |
| Yeast & Moulds | Occasional budding yeast forms seen | Noteworthy - see interpretation below |
| Others | Nil | Normal |
| Parameter | Result |
|---|---|
| Culture Method | Aerobic |
| Specimen | Stool |
| Culture Result | Escherichia coli spp. grown after 24 hours of aerobic incubation |
| Culture Growth Severity | HIGH |
| Antibiotic | Sensitivity |
|---|---|
| Ampicillin-Sulbactam | Sensitive |
| Amoxyclave (Amox-Clav) | Moderate Sensitive |
| Amikasin (Amikacin) | Sensitive |
| Cefuroxime | Resistant |
| Ceftriaxone | Resistant |
| Cefaperazone/Sulbactam | Sensitive |
| Co-Trimaxazole (TMP-SMX) | Resistant |
| Imipenem | Sensitive |
| Meropenem | Sensitive |
| Piperacillin-Tazobactam | Sensitive |
| Cefepime-Tazobactam | Sensitive |
| Cefixime | Resistant |
| Levofloxacin | Sensitive |
| Ciprofloxacin | Sensitive |
| Gentamicin | Sensitive |
Disclaimer: This is an educational analysis for informational purposes. Clinical decisions should be made by the treating physician in context of the full clinical picture.