cd "/tmp/workspace/attachments/ee517c14-1740-4821-97e9-45463d94d156/" && python3 -c " import pdfplumber with pdfplumber.open('☆Micro extra questions_260213_043934.pdf') as pdf: print(f'Total pages: {len(pdf.pages)}') for i, page in enumerate(pdf.pages): text = page.extract_text() print(f'--- PAGE {i+1} ---') print(text) print() "

python3 -c " from pypdf import PdfReader import base64, json reader = PdfReader('/tmp/workspace/attachments/ee517c14-1740-4821-97e9-45463d94d156/☆Micro extra questions_260213_043934.pdf') print(f'Pages: {len(reader.pages)}') # Check if there are images in the PDF for i, page in enumerate(reader.pages[:3]): images = list(page.images) print(f'Page {i+1}: {len(images)} images') for img in images: print(f' Image name: {img.name}, size: {len(img.data)} bytes') "

python3 -c " from pypdf import PdfReader import os os.makedirs('/tmp/workspace/micro_pages', exist_ok=True) reader = PdfReader('/tmp/workspace/attachments/ee517c14-1740-4821-97e9-45463d94d156/☆Micro extra questions_260213_043934.pdf') for i, page in enumerate(reader.pages): for img in page.images: out_path = f'/tmp/workspace/micro_pages/page_{i+1:02d}.png' with open(out_path, 'wb') as f: f.write(img.data) print(f'Saved page {i+1} -> {out_path}') "

You have 15 PNG images saved at /tmp/workspace/micro_pages/page_01.png through page_15.png. These are pages from a microbiology (medical) exam question PDF. Your job is to: 1. Use analyse_media to read as many pages as possible. You have 5 analyse_media calls available. Since analyse_media requires a URL, you'll need to convert images to base64 data URLs first. Use execute to do this: ```python import base64 with open('/tmp/workspace/micro_pages/page_01.png', 'rb') as f: data = base64.b64encode(f.read()).decode() url = f"data:image/png;base64,{data}" print(url[:100]) # just to confirm ``` Then call analyse_media with that data URL and focus="extract all text exactly as written, including all question numbers, options (A/B/C/D), and any highlighted or marked answers". Since you only have 5 analyse_media calls, try to cover as many pages as possible per call. Prioritize pages 1-5 first, then 6-10, then 11-15 if budget allows. 2. Extract ALL the text from every page - every question, every option, every answer marking. 3. Return the full extracted text of ALL pages you can read, formatted clearly as: PAGE 1: [full text] PAGE 2: [full text] etc. This is critical - extract ALL text exactly as it appears including question numbers and answer options.

import base64 def get_data_url(page_num): path = f'/tmp/workspace/micro_pages/page_{page_num:02d}.png' with open(path, 'rb') as f: data = base64.b64encode(f.read()).decode() return f"data:image/png;base64,{data}" # Generate URLs for pages 1-3 for i in range(1, 4): url = get_data_url(i) print(f"Page {i}: {url[:80]}... (len={len(url)})")

python3 -c " import base64 def get_data_url(page_num): path = f'/tmp/workspace/micro_pages/page_{page_num:02d}.png' with open(path, 'rb') as f: data = base64.b64encode(f.read()).decode() return f'data:image/png;base64,{data}' for i in range(1, 4): url = get_data_url(i) print(f'Page {i}: {url[:80]}... len={len(url)}') "

python3 -c " import base64 def get_data_url(page_num): path = f'/tmp/workspace/micro_pages/page_{page_num:02d}.png' with open(path, 'rb') as f: data = base64.b64encode(f.read()).decode() return f'data:image/png;base64,{data}' # Save URLs to files to avoid length issues in command output for i in range(1, 16): url = get_data_url(i) with open(f'/tmp/workspace/url_page_{i:02d}.txt', 'w') as f: f.write(url) print(f'Page {i}: saved, len={len(url)}') "

python3 -c " import base64 pages = [1, 2, 3] for p in pages: with open(f'/tmp/workspace/url_page_{p:02d}.txt') as f: url = f.read().strip() # just verify each starts correctly print(f'Page {p} URL length: {len(url)}, starts with: {url[:50]}') "

python3 -c " with open('/tmp/workspace/url_page_01.txt') as f: url1 = f.read().strip() print(url1[:100]) "

python3 << 'EOF' with open('/tmp/workspace/url_page_01.txt') as f: url1 = f.read().strip() with open('/tmp/workspace/url_page_02.txt') as f: url2 = f.read().strip() with open('/tmp/workspace/url_page_03.txt') as f: url3 = f.read().strip() # write a combined check print(f"p1 len={len(url1)} p2 len={len(url2)} p3 len={len(url3)}") EOF

python3 -c "from PIL import Image; print('PIL available')" 2>/dev/null || echo "PIL not available"

python3 << 'EOF' from PIL import Image import base64 def create_collage(page_nums, output_path): images = [] for p in page_nums: img = Image.open(f'/tmp/workspace/micro_pages/page_{p:02d}.png') images.append(img) # Stack vertically total_width = max(img.width for img in images) total_height = sum(img.height for img in images) collage = Image.new('RGB', (total_width, total_height), (255, 255, 255)) y_offset = 0 for img in images: collage.paste(img, (0, y_offset)) y_offset += img.height collage.save(output_path) print(f"Saved collage for pages {page_nums} to {output_path}, size: {collage.size}") # Create 5 collages of 3 pages each create_collage([1, 2, 3], '/tmp/workspace/collage_1_3.png') create_collage([4, 5, 6], '/tmp/workspace/collage_4_6.png') create_collage([7, 8, 9], '/tmp/workspace/collage_7_9.png') create_collage([10, 11, 12], '/tmp/workspace/collage_10_12.png') create_collage([13, 14, 15], '/tmp/workspace/collage_13_15.png') EOF

python3 << 'EOF' import base64 collages = [ '/tmp/workspace/collage_1_3.png', '/tmp/workspace/collage_4_6.png', '/tmp/workspace/collage_7_9.png', '/tmp/workspace/collage_10_12.png', '/tmp/workspace/collage_13_15.png', ] for path in collages: with open(path, 'rb') as f: data = base64.b64encode(f.read()).decode() url = f'data:image/png;base64,{data}' # Save to file outfile = path.replace('.png', '_url.txt') with open(outfile, 'w') as f: f.write(url) print(f"Saved URL for {path}, len={len(url)}") EOF

python3 -c " with open('/tmp/workspace/collage_1_3_url.txt') as f: url = f.read().strip() print(url[:60]) print(len(url)) "

python3 -c " with open('/tmp/workspace/collage_1_3_url.txt') as f: url = f.read() # Check for newlines print('Has newline:', '\n' in url) print('Has carriage return:', '\r' in url) url_clean = url.strip().replace('\n', '').replace('\r', '') print('Clean length:', len(url_clean)) # Save clean version with open('/tmp/workspace/collage_1_3_url_clean.txt', 'w') as f: f.write(url_clean) print('Saved clean URL') "

python3 -c " # Check the actual URL string for any non-ASCII chars with open('/tmp/workspace/collage_1_3_url.txt') as f: url = f.read().strip() # Find any non-printable ASCII for i, c in enumerate(url[:2000]): if ord(c) < 32 or ord(c) > 127: print(f'Non-ASCII at pos {i}: ord={ord(c)!r}') print('First 100 chars:', repr(url[:100])) "

python3 -c " with open('/tmp/workspace/url_page_01.txt') as f: url = f.read().strip() print(f'URL length: {len(url)}') print(f'First 80 chars: {url[:80]}') # Check for non-printable chars bad_chars = [(i, ord(c)) for i, c in enumerate(url) if ord(c) < 32 or ord(c) > 127] print(f'Non-ASCII chars: {len(bad_chars)}') if bad_chars: print(f'First bad char: pos={bad_chars[0][0]}, ord={bad_chars[0][1]}') "

python3 << 'EOF' # Let's try a smaller image by resizing pages first from PIL import Image import base64 def resize_and_encode(input_path, output_path, max_height=3000): img = Image.open(input_path) w, h = img.size if h > max_height: scale = max_height / h new_w = int(w * scale) new_h = max_height img = img.resize((new_w, new_h), Image.LANCZOS) img.save(output_path, quality=85, optimize=True) with open(output_path, 'rb') as f: data = base64.b64encode(f.read()).decode() return f'data:image/png;base64,{data}' # Single page - resize url = resize_and_encode('/tmp/workspace/micro_pages/page_01.png', '/tmp/workspace/page_01_small.png') print(f'Page 1 small URL length: {len(url)}') with open('/tmp/workspace/page_01_small_url.txt', 'w') as f: f.write(url) print('Saved') EOF

python3 << 'EOF' # Try converting to JPEG for smaller size from PIL import Image import base64 def convert_to_jpeg(input_path, output_path, quality=70): img = Image.open(input_path) # Convert to RGB (required for JPEG) if img.mode in ('RGBA', 'P'): img = img.convert('RGB') img.save(output_path, 'JPEG', quality=quality, optimize=True) with open(output_path, 'rb') as f: data = base64.b64encode(f.read()).decode() return f'data:image/jpeg;base64,{data}' # Try page 1 as JPEG url = convert_to_jpeg('/tmp/workspace/micro_pages/page_01.png', '/tmp/workspace/page_01.jpg') print(f'Page 1 JPEG URL length: {len(url)}') # Try collage 1-3 as JPEG from PIL import Image images = [Image.open(f'/tmp/workspace/micro_pages/page_{i:02d}.png') for i in [1,2,3]] total_width = max(img.width for img in images) total_height = sum(img.height for img in images) collage = Image.new('RGB', (total_width, total_height), (255, 255, 255)) y_offset = 0 for img in images: if img.mode in ('RGBA', 'P'): img = img.convert('RGB') collage.paste(img, (0, y_offset)) y_offset += img.height # Scale down to reduce size scale = 0.6 new_w = int(total_width * scale) new_h = int(total_height * scale) collage = collage.resize((new_w, new_h), Image.LANCZOS) collage.save('/tmp/workspace/collage_1_3.jpg', 'JPEG', quality=80, optimize=True) with open('/tmp/workspace/collage_1_3.jpg', 'rb') as f: data = base64.b64encode(f.read()).decode() url = f'data:image/jpeg;base64,{data}' print(f'Collage 1-3 JPEG URL length: {len(url)}') with open('/tmp/workspace/collage_1_3_url_jpg.txt', 'w') as f: f.write(url) print('Saved collage JPEG') EOF

python3 << 'EOF' from PIL import Image import base64 def make_collage_jpg(page_nums, output_path, scale=0.6, quality=80): images = [] for p in page_nums: img = Image.open(f'/tmp/workspace/micro_pages/page_{p:02d}.png') if img.mode in ('RGBA', 'P'): img = img.convert('RGB') images.append(img) total_width = max(img.width for img in images) total_height = sum(img.height for img in images) collage = Image.new('RGB', (total_width, total_height), (255, 255, 255)) y_offset = 0 for img in images: collage.paste(img, (0, y_offset)) y_offset += img.height new_w = int(total_width * scale) new_h = int(total_height * scale) collage = collage.resize((new_w, new_h), Image.LANCZOS) collage.save(output_path, 'JPEG', quality=quality, optimize=True) with open(output_path, 'rb') as f: data = base64.b64encode(f.read()).decode() url = f'data:image/jpeg;base64,{data}' url_path = output_path.replace('.jpg', '_url.txt') with open(url_path, 'w') as f: f.write(url) print(f'Collage {page_nums} JPEG URL length: {len(url)}, saved to {url_path}') return url make_collage_jpg([1,2,3], '/tmp/workspace/c1_3.jpg') make_collage_jpg([4,5,6], '/tmp/workspace/c4_6.jpg') make_collage_jpg([7,8,9], '/tmp/workspace/c7_9.jpg') make_collage_jpg([10,11,12], '/tmp/workspace/c10_12.jpg') make_collage_jpg([13,14,15], '/tmp/workspace/c13_15.jpg') EOF