cd /tmp/workspace/attachments/0a855eb1-6ac1-499c-8bd4-a04d14e44f8d/ && python3 -c " import pdfplumber with pdfplumber.open('OBGY.pdf') as pdf: print(f'Total pages: {len(pdf.pages)}') # Extract first 3 pages to see structure for i, page in enumerate(pdf.pages[:3]): text = page.extract_text() print(f'--- PAGE {i+1} ---') print(text[:2000]) print() "

python3 -c " from pypdf import PdfReader import base64, os reader = PdfReader('/tmp/workspace/attachments/0a855eb1-6ac1-499c-8bd4-a04d14e44f8d/OBGY.pdf') print(f'Pages: {len(reader.pages)}') # Try extracting text differently for i in range(min(5, len(reader.pages))): page = reader.pages[i] text = page.extract_text() print(f'Page {i+1}: {repr(text[:500])}') # Check if page has images if '/XObject' in page['/Resources']: xobjects = page['/Resources']['/XObject'] print(f' Images on page: {list(xobjects.keys())}') "

python3 -c " from pypdf import PdfReader from PIL import Image import io, os reader = PdfReader('/tmp/workspace/attachments/0a855eb1-6ac1-499c-8pb4-a04d14e44f8d/OBGY.pdf') os.makedirs('/tmp/workspace/obgy_pages', exist_ok=True) for i, page in enumerate(reader.pages): resources = page['/Resources'] xobjects = resources['/XObject'].get_object() for obj_name in xobjects: obj = xobjects[obj_name].get_object() if obj['/Subtype'] == '/Image': data = obj._data width = obj['/Width'] height = obj['/Height'] # Try to save as image try: if '/Filter' in obj: filt = obj['/Filter'] if filt == '/DCTDecode': img = Image.open(io.BytesIO(data)) img.save(f'/tmp/workspace/obgy_pages/page_{i+1:02d}.jpg') print(f'Saved page {i+1} as JPEG ({width}x{height})') elif filt == '/FlateDecode': import zlib raw = zlib.decompress(data) mode = 'RGB' if obj.get('/ColorSpace') == '/DeviceRGB' else 'L' img = Image.frombytes(mode, (width, height), raw) img.save(f'/tmp/workspace/obgy_pages/page_{i+1:02d}.png') print(f'Saved page {i+1} as PNG ({width}x{height})') else: print(f'Page {i+1}: Unknown filter {filt}') else: print(f'Page {i+1}: No filter') except Exception as e: print(f'Page {i+1} error: {e}') " 2>&1 | head -50

PDF="/tmp/workspace/attachments/0a855eb1-6ac1-499c-8bd4-a04d14e44f8d/OBGY.pdf" python3 -c " from pypdf import PdfReader from PIL import Image import io, os PDF = '/tmp/workspace/attachments/0a855eb1-6ac1-499c-8bd4-a04d14e44f8d/OBGY.pdf' reader = PdfReader(PDF) os.makedirs('/tmp/workspace/obgy_pages', exist_ok=True) for i, page in enumerate(reader.pages): resources = page['/Resources'] xobjects = resources['/XObject'].get_object() for obj_name in xobjects: obj = xobjects[obj_name].get_object() if obj['/Subtype'] == '/Image': data = obj._data width = obj['/Width'] height = obj['/Height'] try: if '/Filter' in obj: filt = obj['/Filter'] if filt == '/DCTDecode': img = Image.open(io.BytesIO(data)) img.save(f'/tmp/workspace/obgy_pages/page_{i+1:02d}.jpg') print(f'Saved page {i+1} as JPEG ({width}x{height})') elif filt == '/FlateDecode': import zlib raw = zlib.decompress(data) mode = 'RGB' if obj.get('/ColorSpace') == '/DeviceRGB' else 'L' img = Image.frombytes(mode, (width, height), raw) img.save(f'/tmp/workspace/obgy_pages/page_{i+1:02d}.png') print(f'Saved page {i+1} as PNG ({width}x{height})') else: print(f'Page {i+1}: Unknown filter {filt}') else: print(f'Page {i+1}: No filter') except Exception as e: print(f'Page {i+1} error: {e}') " 2>&1

You need to analyze image files of a scanned OBGY (Obstetrics and Gynecology) question paper and extract ALL 5-mark questions from pages 1-18. The images are saved at: - /tmp/workspace/obgy_pages/page_01.jpg through page_18.jpg For EACH page (1 to 18), use the read_file tool to read the image file, but actually use the analyse_media tool on LOCAL file paths using file:// URLs won't work. Instead, use fetch_image tool for each page. Wait - the images are local files. Use the execute tool to run a Python script that uses PIL/pytesseract or similar. Actually, use the analyse_media tool but it needs URLs. Better approach: Use execute tool with Python to convert each image to base64 and then use a vision approach. Actually, the best approach here is: 1. Use execute to run pytesseract OCR on each image file to extract text 2. Then parse out 5-mark questions Run this Python script: ```python import pytesseract from PIL import Image import os results = {} for i in range(1, 19): path = f'/tmp/workspace/obgy_pages/page_{i:02d}.jpg' if os.path.exists(path): img = Image.open(path) text = pytesseract.image_to_string(img) results[i] = text print(f'=== PAGE {i} ===') print(text) print() ``` If pytesseract is not available, try: ```python import subprocess result = subprocess.run(['tesseract', f'/tmp/workspace/obgy_pages/page_01.jpg', 'stdout'], capture_output=True, text=True) print(result.stdout) ``` Extract ALL text from pages 1-18 and return the complete raw text so I can identify 5-mark questions. Return everything you find.

You need to analyze image files of a scanned OBGY (Obstetrics and Gynecology) question paper and extract ALL 5-mark questions from pages 19-35. The images are saved at: - /tmp/workspace/obgy_pages/page_19.jpg through page_35.jpg Use the execute tool to run OCR on these images. Try this Python script: ```python import pytesseract from PIL import Image import os for i in range(19, 36): path = f'/tmp/workspace/obgy_pages/page_{i:02d}.jpg' if os.path.exists(path): img = Image.open(path) text = pytesseract.image_to_string(img) print(f'=== PAGE {i} ===') print(text) print() ``` If pytesseract is not available, try: ```python import subprocess for i in range(19, 36): path = f'/tmp/workspace/obgy_pages/page_{i:02d}.jpg' result = subprocess.run(['tesseract', path, 'stdout'], capture_output=True, text=True) print(f'=== PAGE {i} ===') print(result.stdout) ``` Extract ALL text from pages 19-35 and return the complete raw text so I can identify 5-mark questions. Return everything you find.

~/obgy_pages

~/obgy_pages

python3 -c "import pytesseract; print('pytesseract OK'); from PIL import Image; print('PIL OK')"

python3 -c " import pytesseract from PIL import Image import os output = [] for i in range(19, 36): path = f'/tmp/workspace/obgy_pages/page_{i:02d}.jpg' if os.path.exists(path): img = Image.open(path) text = pytesseract.image_to_string(img) output.append(f'=== PAGE {i} ===') output.append(text) output.append('') full_text = '\n'.join(output) with open('/tmp/workspace/ocr_output.txt', 'w') as f: f.write(full_text) print('OCR complete. Total chars:', len(full_text)) "

pip install pytesseract pillow -q && tesseract --version 2>&1 | head -3

which tesseract && tesseract --version 2>&1 | head -3

apt-get install -y tesseract-ocr 2>&1 | tail -5

which tesseract || apk add tesseract-ocr 2>&1 | tail -5 || brew install tesseract 2>&1 | tail -5

tesseract --version 2>&1; command -v tesseract 2>&1; ls /usr/bin/tesseract 2>&1; ls /usr/local/bin/tesseract 2>&1

ls /usr/bin/tesseract /usr/local/bin/tesseract 2>&1; find /usr -name "tesseract" 2>/dev/null; find /opt -name "tesseract" 2>/dev/null

pip install pytesseract pillow 2>&1 | tail -5; apt-get install -y tesseract-ocr 2>&1 | tail -10

python3 -c "import easyocr; print('easyocr OK')" 2>&1; python3 -c "import cv2; print('cv2 OK')" 2>&1; python3 -c "import PIL; print('PIL OK')" 2>&1

find / -name "tesseract" -type f 2>/dev/null | head -10

python3 -c " from PIL import Image import base64, io, os # Convert images to base64 and save to a text file for reference for i in range(1, 19): path = f'/tmp/workspace/obgy_pages/page_{i:02d}.jpg' if os.path.exists(path): img = Image.open(path) print(f'Page {i:02d}: size={img.size}, mode={img.mode}') "

python3 -c "import easyocr; print('easyocr available')" 2>&1; python3 -c "import cv2; print('cv2 available')" 2>&1; python3 -c "import google.cloud.vision; print('gvision available')" 2>&1

pip install easyocr -q 2>&1 | tail -3

python3 -c " # Try to install tesseract via available package managers import subprocess # Try dnf/yum/microdnf for cmd in ['microdnf install -y tesseract', 'yum install -y tesseract', 'dnf install -y tesseract']: r = subprocess.run(cmd.split(), capture_output=True, text=True) print(cmd, ':', r.returncode) if r.returncode == 0: print(r.stdout[-500:]) break else: print(r.stderr[-200:]) "

python3 -c " import subprocess for pkg_mgr in ['yum', 'dnf', 'apt', 'apk', 'zypper', 'pacman']: r = subprocess.run(['bash', '-c', f'command -v {pkg_mgr}'], capture_output=True, text=True) if r.returncode == 0: print(f'Found: {pkg_mgr} at {r.stdout.strip()}') "

python3 -c "import easyocr; print('easyocr OK')" 2>&1

dnf install -y tesseract 2>&1 | tail -15

python3 -c " import easyocr import os import json reader = easyocr.Reader(['en'], gpu=False) print('Reader initialized') results = {} for i in range(1, 7): path = f'/tmp/workspace/obgy_pages/page_{i:02d}.jpg' print(f'Processing page {i}...') result = reader.readtext(path, detail=0, paragraph=True) text = '\n'.join(result) results[i] = text print(f'=== PAGE {i} ===') print(text) print() with open('/tmp/ocr_batch1.json', 'w') as f: json.dump(results, f) print('Batch 1 saved') " 2>&1 | grep -v "^$\|Neither CUDA\|Using CPU\|Downloading\|WARNING\|UserWarning\|FutureWarning\|torch"

sudo dnf install -y tesseract 2>&1 | tail -20

python3 << 'EOF' 2>&1 import easyocr import os import json reader = easyocr.Reader(['en'], gpu=False) results = {} for i in range(1, 7): path = f'/tmp/workspace/obgy_pages/page_{i:02d}.jpg' result = reader.readtext(path, detail=0, paragraph=True) text = '\n'.join(result) results[i] = text with open('/tmp/ocr_batch1.json', 'w') as f: json.dump(results, f) for i in range(1, 7): print(f'=== PAGE {i} ===') print(results[i]) print() EOF

python3 -c " import pytesseract from PIL import Image import os for i in range(1, 10): path = f'/tmp/workspace/obgy_pages/page_{i:02d}.jpg' if os.path.exists(path): img = Image.open(path) text = pytesseract.image_to_string(img) print(f'=== PAGE {i} ===') print(text) print() " 2>&1

pip install --user pytesseract 2>&1 | tail -3 && python3 -c "import pytesseract; print('ok')"

python3 -c " import pytesseract from PIL import Image import os for i in range(1, 19): path = f'/tmp/workspace/obgy_pages/page_{i:02d}.jpg' if os.path.exists(path): img = Image.open(path) text = pytesseract.image_to_string(img) print(f'=== PAGE {i} ===') print(text) print() " 2>&1

# Try serving the images via a local HTTP approach - check what's available python3 -c " import base64, os # encode first page as base64 to see what we're dealing with with open('/tmp/workspace/obgy_pages/page_01.jpg', 'rb') as f: data = f.read() print(f'File size: {len(data)} bytes') print(f'First bytes: {data[:4]}') " 2>&1

# Try easyocr which doesn't need tesseract binary pip install --user easyocr 2>&1 | tail -3

# Try using the attachment URL pattern from the system ls /tmp/workspace/attachments/ 2>&1 # Also check if there's a URL server curl -s http://localhost:8080/health 2>&1 | head -5 # Check available OCR tools which ocrmypdf tesseract 2>&1 # Try using python's built-in capabilities python3 -c "import easyocr; print('easyocr ok')" 2>&1

# Check if there's a local HTTP server for attachments curl -s "http://localhost:8080/attachments/0a855eb1-6ac1-499c-8bd4-a04d14e44f8d/OBGY.pdf" -o /dev/null -w "%{http_code}" 2>&1 # Also check the attachment URL pattern ls /tmp/ 2>&1 | head -20

# Check tmp_yzg94m_.json - might have the attachment URL python3 -c " import json with open('/tmp/tmp_yzg94m_.json') as f: data = json.load(f) print(json.dumps(data, indent=2)[:3000]) " 2>&1

# Serve images locally and get URL, or use base64 data URI trick # Let's start a simple HTTP server and get the pages python3 -c " import http.server, threading, time, os # Start server in background os.chdir('/tmp/workspace/obgy_pages') handler = http.server.SimpleHTTPRequestHandler server = http.server.HTTPServer(('0.0.0.0', 9999), handler) thread = threading.Thread(target=server.serve_forever) thread.daemon = True thread.start() print('Server started on port 9999') time.sleep(1) # Test it import urllib.request resp = urllib.request.urlopen('http://localhost:9999/page_01.jpg') print(f'Response: {resp.status}, size: {len(resp.read())} bytes') server.shutdown() print('Done') " 2>&1