Generate ans pharmacology notes for revision for university exams and

Generate ans pharmacology notes for revision for university exams and also add answers pyqs in detail as well

I'll start by reading the PDF skill and analyzing all three uploaded files in parallel to understand the content before creating comprehensive notes.

Reading File

Now let me extract all three PDFs in parallel:

Running Command

cd /home/daytona/workspace/attachments/e2a9ca2b-1a7b-4a6b-9ea9-c95164e9d4dd && python3 -c " import pdfplumber files = [ 'Ans.pdf', 'Ans (1).pdf', 'PYQs pharma.pdf' ] for fname in files: print(f'\n\n========== FILE: {fname} ==========\n') try: with pdfplumber.open(fname) as pdf: print(f'Total pages: {len(pdf.pages)}') for i, page in enumerate(pdf.pages): text = page.extract_text() if text: print(f'--- Page {i+1} ---') print(text[:3000]) except Exception as e: print(f'Error: {e}') "

I can see Ans(1).pdf has lots of content on ANS pharmacology. Let me now extract the PYQs PDF and the first Ans.pdf:

Running Command

cd /home/daytona/workspace/attachments/e2a9ca2b-1a7b-4a6b-9ea9-c95164e9d4dd && python3 -c " import pdfplumber # Extract PYQs print('========== PYQs pharma.pdf ==========') with pdfplumber.open('PYQs pharma.pdf') as pdf: print(f'Total pages: {len(pdf.pages)}') for i, page in enumerate(pdf.pages): text = page.extract_text() if text: print(f'--- Page {i+1} ---') print(text[:4000]) " 2>&1 | head -600

The PYQs PDF seems to have no extractable text. Let me try image-based extraction and also try to extract Ans.pdf text:

Running Command

cd /home/daytona/workspace/attachments/e2a9ca2b-1a7b-4a6b-9ea9-c95164e9d4dd && python3 -c " from pypdf import PdfReader # Try PYQs print('=== PYQs pharma.pdf ===') r = PdfReader('PYQs pharma.pdf') for i, page in enumerate(r.pages[:5]): t = page.extract_text() print(f'Page {i+1}: [{len(t) if t else 0} chars]') if t: print(t[:2000]) print() print('=== Ans.pdf ===') r2 = PdfReader('Ans.pdf') for i, page in enumerate(r2.pages[:5]): t = page.extract_text() print(f'Page {i+1}: [{len(t) if t else 0} chars]') if t: print(t[:2000]) "

Both Ans.pdf and PYQs pharma.pdf have 0 chars - they are scanned/image PDFs. Let me use OCR on them via analyse_media. I'll convert pages to images and use the analyse_media tool on key pages:

Running Command

cd /home/daytona/workspace/attachments/e2a9ca2b-1a7b-4a6b-9ea9-c95164e9d4dd && python3 -c " import fitz # PyMuPDF import os # Convert first few pages of PYQs and Ans.pdf to images os.makedirs('/home/daytona/workspace/pdf_images', exist_ok=True) for fname, prefix in [('PYQs pharma.pdf', 'pyq'), ('Ans.pdf', 'ans')]: doc = fitz.open(fname) print(f'{fname}: {len(doc)} pages') for i in range(min(8, len(doc))): page = doc[i] mat = fitz.Matrix(2, 2) # 2x zoom for better OCR pix = page.get_pixmap(matrix=mat) out = f'/home/daytona/workspace/pdf_images/{prefix}_page{i+1}.png' pix.save(out) print(f' Saved {out}') doc.close() print('Done') "

Running Command

which pdftoppm && pdftoppm -r 200 -png "/home/daytona/workspace/attachments/e2a9ca2b-1a7b-4a6b-9ea9-c95164e9d4dd/PYQs pharma.pdf" /home/daytona/workspace/pdf_images/pyq -l 10 && ls /home/daytona/workspace/pdf_images/ | head -20

Running Command

mkdir -p /home/daytona/workspace/pdf_images && ls -la /home/daytona/workspace/pdf_images && pdftoppm -r 150 -png "/home/daytona/workspace/attachments/e2a9ca2b-1a7b-4a6b-9ea9-c95164e9d4dd/PYQs pharma.pdf" /home/daytona/workspace/pdf_images/pyq -l 6 && ls /home/daytona/workspace/pdf_images/

Running Command

pdftoppm -r 150 -png "/home/daytona/workspace/attachments/e2a9ca2b-1a7b-4a6b-9ea9-c95164e9d4dd/PYQs pharma.pdf" /home/daytona/workspace/pdf_images/pyq && pdftoppm -r 150 -png "/home/daytona/workspace/attachments/e2a9ca2b-1a7b-4a6b-9ea9-c95164e9d4dd/Ans.pdf" /home/daytona/workspace/pdf_images/ans && ls /home/daytona/workspace/pdf_images/ | wc -l

Good - I already have 6 pages of PYQs converted. Let me use analyse_media on those images, and also convert Ans.pdf pages separately:

analyse_media

Running Command

# Try OCR on the images using tesseract which tesseract && tesseract /home/daytona/workspace/pdf_images/pyq-01.png stdout -l eng 2>/dev/null | head -100

Running Command

# OCR all PYQ pages for i in $(seq -w 1 6); do echo "=== PAGE $i ===" tesseract /home/daytona/workspace/pdf_images/pyq-0${i}.png stdout -l eng 2>/dev/null echo "" done

Running Command

# Continue PYQs pages 7 onwards ls /home/daytona/workspace/pdf_images/ | grep pyq

Running Command

# OCR pages 7-23 of PYQs for i in 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23; do echo "=== PAGE $i ===" tesseract /home/daytona/workspace/pdf_images/pyq-${i}.png stdout -l eng 2>/dev/null | head -40 echo "" done

Running Command

for i in 07 08 09 10; do echo "=== PAGE $i ==="; tesseract /home/daytona/workspace/pdf_images/pyq-${i}.png stdout -l eng 2>/dev/null | head -30; done

Running Command

for i in 11 12 13; do echo "=== PAGE $i ==="; tesseract /home/daytona/workspace/pdf_images/pyq-${i}.png stdout -l eng 2>/dev/null | head -30; done

I now have excellent content from Ans(1).pdf (full ANS pharmacology textbook) and can identify the PYQ topics clearly. Let me now write the comprehensive notes using the PPTX skill or create a DOCX. Given the richness of content, I'll create a comprehensive Word document (DOCX) with revision notes AND PYQ answers.

Create notes

Reading File

Running Command

for i in 14 15 16 17 18 19 20 21 22 23; do echo "=== PAGE $i ==="; tesseract /home/daytona/workspace/pdf_images/pyq-${i}.png stdout -l eng 2>/dev/null | head -35; echo ""; done

I now have all the PYQs and the full ANS pharmacology content. Let me create the comprehensive DOCX notes:

Running Command

mkdir -p /home/daytona/workspace/pharma-notes && ls /home/daytona/workspace/pharma-notes/