Analyse the images in pdf and add summary to the images andmake it into pdf

Reading File
Reading File
Now let me first extract images from the PDF to understand what's in it, then analyse them.
Running Command

cd /home/daytona/workspace && mkdir -p physio-pdf-project/images && python3 << 'EOF' import fitz # PyMuPDF import os pdf_path = "/home/daytona/workspace/attachments/0cad036d-04ba-4323-91ba-1d69d650ef99/physio charts.pdf" doc = fitz.open(pdf_path) print(f"Number of pages: {len(doc)}") print(f"Page dimensions (first page): {doc[0].rect}") # Extract images from each page images_info = [] for page_num in range(len(doc)): page = doc[page_num] img_list = page.get_images(full=True) print(f"\nPage {page_num+1}: {len(img_list)} images") for img_index, img in enumerate(img_list): xref = img[0] base_image = doc.extract_image(xref) image_bytes = base_image["image"] image_ext = base_image["ext"] img_filename = f"/home/daytona/workspace/physio-pdf-project/images/page{page_num+1}_img{img_index+1}.{image_ext}" with open(img_filename, "wb") as img_file: img_file.write(image_bytes) print(f" Saved: {img_filename} ({len(image_bytes)} bytes)") images_info.append((page_num+1, img_index+1, img_filename)) # Also render each page as an image for analysis print("\n--- Rendering pages as PNG ---") for page_num in range(len(doc)): page = doc[page_num] mat = fitz.Matrix(2, 2) # 2x zoom for better quality pix = page.get_pixmap(matrix=mat) page_img_path = f"/home/daytona/workspace/physio-pdf-project/images/page{page_num+1}_full.png" pix.save(page_img_path) print(f" Saved page {page_num+1} as: {page_img_path}") doc.close() print("\nDone!") EOF

Running Command

pip install --user pymupdf --quiet 2>&1 | tail -3

Running Command

cd /home/daytona/workspace && mkdir -p physio-pdf-project/images && python3 << 'EOF' import sys sys.path.insert(0, '/home/daytona/.local/lib/python3.11/site-packages') import fitz # PyMuPDF import os pdf_path = "/home/daytona/workspace/attachments/0cad036d-04ba-4323-91ba-1d69d650ef99/physio charts.pdf" doc = fitz.open(pdf_path) print(f"Number of pages: {len(doc)}") # Render each page as PNG for analysis for page_num in range(len(doc)): page = doc[page_num] mat = fitz.Matrix(2, 2) # 2x zoom for better quality pix = page.get_pixmap(matrix=mat) page_img_path = f"/home/daytona/workspace/physio-pdf-project/images/page{page_num+1}_full.png" pix.save(page_img_path) print(f"Saved page {page_num+1}: {page_img_path} ({pix.width}x{pix.height})") # Also extract text if any text = page.get_text() if text.strip(): print(f" Text: {text[:200]}") doc.close() print("Done!") EOF

The PDF has 20 pages. I have 5 analyse_media calls available, so I'll analyse pages in batches to cover all 20 pages. Let me analyse all pages in parallel (5 calls, each covering 4 pages at once using the rendered PNGs).I'll analyse pages in 5 parallel batches - but since analyse_media works on one image URL at a time, and I have local files, I need to serve them. Let me use a different approach - read each page image directly and analyse them in parallel groups.
analyse_media
analyse_media
analyse_media
analyse_media
analyse_media
The analyse_media tool requires HTTP URLs. I've used all 5 calls. I'll now use the read_file tool to directly view the PNG images (they support multimodal content) and analyse them myself.
Reading File
Reading File
Reading File
Reading File
Reading File
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Pdf

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