~/

Langerhans cell histiocytosis chemotherapy supportive care neutropenia infection CBC guidance

Langerhans cell histiocytosis chemotherapy

~/attachments/79525dd2-94cb-488b-94d8-960ee533eab4

mkdir -p "/tmp/workspace/report-review/output" && python -c "import pdfplumber; p='/tmp/workspace/attachments/79525dd2-94cb-488b-94d8-960ee533eab4/WhatsApp Scan 2026-09-07 at 23.07.56.pdf'; pdf=pdfplumber.open(p); print('pages',len(pdf.pages)); [print('---PAGE',i+1,'---\n'+(page.extract_text() or 'NO TEXT')) for i,page in enumerate(pdf.pages)]" && python -c "import fitz; p='/tmp/workspace/attachments/79525dd2-94cb-488b-94d8-960ee533eab4/WhatsApp Scan 2026-09-07 at 23.07.56.pdf'; d=fitz.open(p); [pg.get_pixmap(matrix=fitz.Matrix(2.5,2.5), alpha=False).save('/tmp/workspace/report-review/output/page_%d.png'%(i+1)) for i,pg in enumerate(d)]"

python -c "from pypdf import PdfReader; from pathlib import Path; p=Path('/tmp/workspace/attachments/79525dd2-94cb-488b-94d8-960ee533eab4/WhatsApp Scan 2026-09-07 at 23.07.56.pdf'); out=Path('/tmp/workspace/report-review/output'); r=PdfReader(str(p)); print('pages',len(r.pages)); for i,pg in enumerate(r.pages): print(i+1, len(pg.images)); for j,img in enumerate(pg.images): f=out/f'page_{i+1}_image_{j+1}.{img.name.split(chr(46))[-1]}'; f.write_bytes(img.data); print(f, len(img.data))"

python -c "import importlib.util; print('pytesseract', importlib.util.find_spec('pytesseract')); print('easyocr', importlib.util.find_spec('easyocr')); print('keras_ocr', importlib.util.find_spec('keras_ocr'))"; which tesseract || true

pip install --user easyocr

python -c "import importlib.util; print(importlib.util.find_spec('cv2')); print(importlib.util.find_spec('transformers')); print(importlib.util.find_spec('PIL'))" && pip install --user --no-deps easyocr && python -c "import easyocr; print('easyocr ready')"

pip install --user python-bidi pyclipper ninja && python -c "import easyocr; print('easyocr ready')"

python -c "import easyocr, glob; r=easyocr.Reader(['en'], gpu=False, verbose=True); files=sorted(glob.glob('/tmp/workspace/report-review/output/*.jpg')); out='/tmp/workspace/report-review/output/ocr.txt'; f=open(out,'w'); for p in files: x=r.readtext(p, detail=0, paragraph=False); f.write('\n\n--- '+p+' ---\n'+'\n'.join(x)); print(p, len(x)); f.close()"