Answer key
~/
python - <<'PY' from pypdf import PdfReader p='/tmp/workspace/attachments/ecf10955-8ec3-4d83-b0a0-f36c623b9158/SET 2.pdf' r=PdfReader(p) print('pages',len(r.pages)) for i,pg in enumerate(r.pages): t=pg.extract_text() or '' print('\n---PAGE',i+1,'chars',len(t),'---\n',t[:10000]) PY
mkdir -p "/tmp/workspace/set2-answer-key/rendered" && python - <<'PY' import fitz src='/tmp/workspace/attachments/ecf10955-8ec3-4d83-b0a0-f36c623b9158/SET 2.pdf' doc=fitz.open(src) for i,p in enumerate(doc): pix=p.get_pixmap(matrix=fitz.Matrix(1.6,1.6), alpha=False) pix.save(f'/tmp/workspace/set2-answer-key/rendered/page-{i+1:02}.png') print(len(doc)) PY
python - <<'PY' from pypdf import PdfReader from PIL import Image import io, os src='/tmp/workspace/attachments/ecf10955-8ec3-4d83-b0a0-f36c623b9158/SET 2.pdf' out='/tmp/workspace/set2-answer-key/rendered' os.makedirs(out,exist_ok=True) r=PdfReader(src) for n,p in enumerate(r.pages,1): imgs=list(p.images) print(n, len(imgs), [(im.name,len(im.data),im.image.size,im.image.mode) for im in imgs]) for j,im in enumerate(imgs,1): im.image.save(f'{out}/page-{n:02}-{j}.png') PY
python - <<'PY' from PIL import Image,ImageDraw import glob,os fs=sorted(glob.glob('/tmp/workspace/set2-answer-key/rendered/*.png')) thumbs=[] for f in fs: im=Image.open(f); im.thumbnail((280,420)); thumbs.append((f,im.copy())) out=Image.new('RGB',(4*300,4*460),'white');d=ImageDraw.Draw(out) for i,(f,im) in enumerate(thumbs): x=(i%4)*300;y=(i//4)*460;out.paste(im,(x,y+30));d.text((x+10,y+5),os.path.basename(f),fill='black') out.save('/tmp/workspace/set2-answer-key/contact.png') PY
python - <<'PY' from PIL import Image im=Image.open('/tmp/workspace/set2-answer-key/contact.png') im.thumbnail((700,1000)) im.save('/tmp/workspace/set2-answer-key/contact-small.jpg',quality=70,optimize=True) import os print(os.path.getsize('/tmp/workspace/set2-answer-key/contact-small.jpg')) PY
python - <<'PY' from PIL import Image import glob,os for f in glob.glob('/tmp/workspace/set2-answer-key/rendered/*.png'): im=Image.open(f); im.thumbnail((700,1000)); im.save(f.replace('.png','-small.jpg'),quality=55,optimize=True) print([(os.path.basename(x),os.path.getsize(x)) for x in glob.glob('/tmp/workspace/set2-answer-key/rendered/*-small.jpg')]) PY
python - <<'PY' try: import pytesseract; print('pytesseract',pytesseract.get_tesseract_version()) except Exception as e: print(type(e).__name__,e) PY
python - <<'PY' import importlib.util for p in ['easyocr','paddleocr','keras_ocr','cv2']: print(p, bool(importlib.util.find_spec(p))) PY
The user wants an answer key for a 14-page scanned PDF at /tmp/workspace/attachments/ecf10955-8ec3-4d83-b0a0-f36c623b9158/SET 2.pdf. It is likely a medical multiple-choice paper. Create a complete answer key: inspect/render pages, perform OCR or visual analysis as possible, identify every question and correct option. Follow mandatory skills for medical/PDF as applicable. Return a concise numbered list Q# -> answer (with wording if needed) plus explicit uncertainty for unreadable questions. Do not create unnecessary output files. Use available tools and external current search only as needed.
~/attachments/ecf10955-8ec3-4d83-b0a0-f36c623b9158
python -c "from pypdf import PdfReader; p='/tmp/workspace/attachments/ecf10955-8ec3-4d83-b0a0-f36c623b9158/SET 2.pdf'; r=PdfReader(p); print('pages',len(r.pages)); print(r.metadata); [print('\n---PAGE',i+1,'---\n', (x.extract_text() or '')[:300]) for i,x in enumerate(r.pages)]"
python -c "import fitz; p='/tmp/workspace/attachments/ecf10955-8ec3-4d83-b0a0-f36c623b9158/SET 2.pdf'; d=fitz.open(p); print([(i+1,pg.rect, len(pg.get_images(full=True))) for i,pg in enumerate(d)]); [pix:=pg.get_pixmap(matrix=fitz.Matrix(2,2),alpha=False), pix.save(f'/tmp/p{i+1}.png') for i,pg in enumerate(d)]" && python -c "import pytesseract; from PIL import Image; import glob; [print('\n--',f,'--\n',pytesseract.image_to_string(Image.open(f))[:4000]) for f in glob.glob('/tmp/p*.png')]"
python -c "import fitz; p='/tmp/workspace/attachments/ecf10955-8ec3-4d83-b0a0-f36c623b9158/SET 2.pdf'; d=fitz.open(p); print([(i+1, str(pg.rect), len(pg.get_images(full=True))) for i,pg in enumerate(d)]); [(lambda pix,n:(pix.save('/tmp/p%s.png'%n)))(pg.get_pixmap(matrix=fitz.Matrix(2,2),alpha=False),i+1) for i,pg in enumerate(d)]" && python -c "import pytesseract; from PIL import Image; [print('\n--PAGE',i,'--\n'+pytesseract.image_to_string(Image.open('/tmp/p%s.png'%i))[:5000]) for i in range(1,15)]"
python -c "from pypdf import PdfReader; p='/tmp/workspace/attachments/ecf10955-8ec3-4d83-b0a0-f36c623b9158/SET 2.pdf'; r=PdfReader(p); print([(i+1,len(x.images),[(im.name,im.image.size,im.image.mode) for im in x.images]) for i,x in enumerate(r.pages)]); [(im.image.save('/tmp/page%d_img%d.png'%(i+1,j))) for i,x in enumerate(r.pages) for j,im in enumerate(x.images)]" && python -c "import pytesseract; from PIL import Image; [print('\n--PAGE',i,'--\n'+pytesseract.image_to_string(Image.open('/tmp/page%d_img0.png'%i))[:5000]) for i in range(1,15)]"
python -c "import importlib.util; print('cv2',importlib.util.find_spec('cv2')); print('easyocr',importlib.util.find_spec('easyocr')); print('PIL',importlib.util.find_spec('PIL')); print('ocrmypdf',importlib.util.find_spec('ocrmypdf'))"; python -c "from PIL import Image; [(lambda im,n:(im.thumbnail((900,1300)),im.save('/tmp/s%d.jpg'%n,'JPEG',quality=55)))(Image.open('/tmp/page%d_img0.png'%i),i) for i in range(1,15) for n in [i]]"
which tesseract || true; which convert || true; python -c "import importlib.util; print(importlib.util.find_spec('rapidocr_onnxruntime')); print(importlib.util.find_spec('paddleocr')); print(importlib.util.find_spec('transformers'))"; ls -lh /tmp/s*.jpg
sudo apt-get update -qq && sudo apt-get install -y -qq tesseract-ocr
Read timeout on endpoint URL: "https://bedrock-agentcore.ap-south-1.amazonaws.com/code-interpreters/orris_code_interpreter-jiK9AacE5I/tools/invoke"
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