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https://medicine.buffalo.edu/departments/ortho/education/med…

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cd /home/daytona/workspace/attachments/1fad861f-fd58-419a-b881-8d911d0fc319/ && python3 -c " import pdfplumber with pdfplumber.open('Screenshot 2026-07-12 at 23.05.01.pdf') as pdf: print(f'Total pages: {len(pdf.pages)}') for i, page in enumerate(pdf.pages): print(f'--- PAGE {i+1} ---') text = page.extract_text() print(text) print() "

cd /home/daytona/workspace && mkdir -p pdf_pages && python3 -c " import fitz # pymupdf import os pdf_path = '/home/daytona/workspace/attachments/1fad861f-fd58-419a-b881-8d911d0fc319/Screenshot 2026-07-12 at 23.05.01.pdf' doc = fitz.open(pdf_path) print(f'Pages: {len(doc)}') for i, page in enumerate(doc): mat = fitz.Matrix(2, 2) # 2x zoom for clarity pix = page.get_pixmap(matrix=mat) out_path = f'/home/daytona/workspace/pdf_pages/page_{i+1:02d}.png' pix.save(out_path) print(f'Saved page {i+1} -> {out_path} ({pix.width}x{pix.height})') print('Done') "

cd /home/daytona/workspace && mkdir -p pdf_pages && python3 -c " from pdf2image import convert_from_path pages = convert_from_path('/home/daytona/workspace/attachments/1fad861f-fd58-419a-b881-8d911d0fc319/Screenshot 2026-07-12 at 23.05.01.pdf', dpi=200) print(f'Total pages: {len(pages)}') for i, page in enumerate(pages): out = f'/home/daytona/workspace/pdf_pages/page_{i+1:02d}.png' page.save(out, 'PNG') print(f'Saved {out}') print('All done') "

ls -la /home/daytona/workspace/pdf_pages/

You have 12 PNG images of PDF pages stored at: /home/daytona/workspace/pdf_pages/page_01.png through page_12.png These are screenshots of a medical/educational textbook. Your job is to: 1. Read ALL 12 images using the read_file tool to get their content as base64 - actually, use the analyse_media tool. But first you need a URL. IMPORTANT: The images are local files. Use this approach: - Start a simple Python HTTP server in the background on port 8765 serving /home/daytona/workspace/pdf_pages/ - Then use analyse_media with URLs like http://localhost:8765/page_01.png for each page Steps: 1. Execute: `python3 -m http.server 8765 --directory /home/daytona/workspace/pdf_pages &` then sleep 2 2. For each of the 12 pages, call analyse_media with URL http://localhost:8765/page_XX.png 3. Analyse ALL 12 pages - call analyse_media with focus="Extract ALL text exactly as written, describe all figures/diagrams/tables in detail, noting all headings, subheadings, bullet points, numbered lists, flowcharts, and any visual elements. Be thorough and complete." 4. Collect all the text/content from all 12 pages 5. Return a COMPLETE, DETAILED summary of ALL content found across all 12 pages - include every heading, every paragraph, every table, every figure description, every bullet point. This is critical - be exhaustive. Return your findings as a long structured text with clear PAGE 1, PAGE 2... markers and all content under each page.

python3 -m http.server 8765 --directory /home/daytona/workspace/pdf_pages & sleep 2 && echo "Server started"

nohup python3 -m http.server 8765 --directory /home/daytona/workspace/pdf_pages > /tmp/server.log 2>&1 & echo "PID: $!"

sleep 2 && curl -s -o /dev/null -w "%{http_code}" http://localhost:8765/page_01.png

ls /home/daytona/workspace/pdf_pages/ && ps aux | grep http.server

cd /home/daytona/workspace/pdf_pages && python3 -c " import http.server import socketserver import threading Handler = http.server.SimpleHTTPRequestHandler httpd = socketserver.TCPServer(('', 8765), Handler) t = threading.Thread(target=httpd.serve_forever) t.daemon = True t.start() print('Server running') import time time.sleep(300) " & sleep 3 curl -s -o /dev/null -w "%{http_code}" http://localhost:8765/page_01.png

python3 -c " import http.server, socketserver, os, threading, time os.chdir('/home/daytona/workspace/pdf_pages') handler = http.server.SimpleHTTPRequestHandler server = socketserver.TCPServer(('0.0.0.0', 8765), handler) server.allow_reuse_address = True t = threading.Thread(target=server.serve_forever, daemon=True) t.start() print('started', flush=True) time.sleep(600) " > /tmp/srv.log 2>&1 & echo "bg pid=$!"

sleep 3 && curl -v http://localhost:8765/page_01.png 2>&1 | head -20

cat /tmp/srv.log

ps aux | grep -E "python|8765" | grep -v grep

# Try serving with socat or netcat, or check if there's another way # Let's try running server inline and curl in same command python3 -c " import http.server, socketserver, os, subprocess, threading os.chdir('/home/daytona/workspace/pdf_pages') handler = http.server.SimpleHTTPRequestHandler class MyServer(socketserver.TCPServer): allow_reuse_address = True server = MyServer(('0.0.0.0', 8765), handler) t = threading.Thread(target=server.serve_forever, daemon=False) t.start() import urllib.request resp = urllib.request.urlopen('http://localhost:8765/page_01.png') print('HTTP status:', resp.status) print('Content-Length:', resp.headers.get('Content-Length')) server.shutdown() "

# The server works when run inline. Let's start it and keep it running in a script cat > /tmp/serve_pages.py << 'EOF' import http.server, socketserver, os, sys, signal os.chdir('/home/daytona/workspace/pdf_pages') class MyServer(socketserver.TCPServer): allow_reuse_address = True handler = http.server.SimpleHTTPRequestHandler handler.log_message = lambda *args: None # suppress logs server = MyServer(('0.0.0.0', 8765), handler) print("Server started on port 8765", flush=True) sys.stdout.flush() server.serve_forever() EOF python3 /tmp/serve_pages.py & SPID=$! echo "Server PID: $SPID" sleep 2 curl -s -o /dev/null -w "HTTP %{http_code}, Size: %{size_download}" http://localhost:8765/page_01.png

# It seems background processes are killed. Let me try a different port or use flask # Check what's available which flask python3 uvicorn gunicorn 2>/dev/null netstat -tlnp 2>/dev/null | head -20 || ss -tlnp | head -20

# Try using an existing exposed port - check if any of the listed ports serve files # Port 33333, 22222, 22220, 2280 are already listening # Let's check what's on port 33333 curl -s -o /dev/null -w "HTTP %{http_code}" http://localhost:33333/ 2>&1

curl -s http://localhost:33333/ 2>&1 | head -30

# Check the other ports curl -s -o /dev/null -w "HTTP %{http_code}" http://localhost:22222/ 2>&1 curl -s -o /dev/null -w " HTTP %{http_code}" http://localhost:2280/ 2>&1

curl -s http://localhost:22222/ 2>&1 | head -10

# Port 2280 returns 404 - this might be a file server on a specific path # Let's check what's serving on 2280 curl -v http://localhost:2280/ 2>&1 | head -30

# Try common paths on 2280 curl -s -o /dev/null -w "%{http_code}" http://localhost:2280/files/ 2>&1 curl -s -o /dev/null -w " %{http_code}" http://localhost:2280/static/ 2>&1 curl -s -o /dev/null -w " %{http_code}" http://localhost:2280/workspace/ 2>&1 curl -s -o /dev/null -w " %{http_code}" http://localhost:2280/home/ 2>&1

curl -s http://localhost:2280/files/ 2>&1 | head -20

# Great! Port 2280 serves files. Let's try to access the PNG images through it curl -s "http://localhost:2280/files/workspace/pdf_pages/page_01.png" -o /dev/null -w "HTTP %{http_code}, Size: %{size_download}"

# Check the files API more carefully - the path might be relative to /home/daytona curl -s "http://localhost:2280/files/workspace" | python3 -c "import sys,json; data=json.load(sys.stdin); [print(d['name'], d['path']) for d in data[:5]]"

curl -s "http://localhost:2280/files/workspace" 2>&1 | head -5 echo "---" curl -s -o /dev/null -w "%{http_code}" "http://localhost:2280/files/workspace"

# The /files/ endpoint lists from /home/daytona. Let's try the right path curl -s "http://localhost:2280/files/?path=workspace" 2>&1 | head -100

# Found it! Now let's check the download endpoint curl -s "http://localhost:2280/files/?path=workspace/pdf_pages" 2>&1 | python3 -c " import sys, json text = sys.stdin.read() data = json.loads(text) for d in data[:5]: print(d['name'], d['path']) "

# Now find the download endpoint - try different patterns curl -s -o /dev/null -w "%{http_code}" "http://localhost:2280/files/download?path=workspace/pdf_pages/page_01.png" echo "" curl -s -o /dev/null -w "%{http_code}" "http://localhost:2280/download?path=workspace/pdf_pages/page_01.png"

# Great! The download endpoint works. Let's verify it returns the actual image curl -s "http://localhost:2280/files/download?path=workspace/pdf_pages/page_01.png" -o /dev/null -w "HTTP %{http_code}, Size: %{size_download}, Type: %{content_type}"

# Check if there's a public URL or if we can use the daytona preview URL # Check environment variables for any external URL env | grep -iE "URL|HOST|DOMAIN|PUBLIC|PREVIEW|EXTERNAL" 2>/dev/null | head -20

# Check /etc/hosts and any network config cat /etc/hosts echo "---" # Check if there's a proxy or gateway ip route show 2>/dev/null | head -5

# Try using the container's own IP (172.20.0.28) instead of localhost curl -s -o /dev/null -w "HTTP %{http_code}, Size: %{size_download}" "http://172.20.0.28:2280/files/download?path=workspace/pdf_pages/page_01.png"

# The analyse_media tool needs a publicly accessible URL # Let me check if there's a public preview URL pattern for daytona workspaces # Check daytona config cat /home/daytona/.daytona/ 2>/dev/null || ls /home/daytona/.daytona/ 2>/dev/null

ls /home/daytona/.daytona/sessions/ 2>/dev/null ls /home/daytona/.daytona/computeruse/ 2>/dev/null

cat /home/daytona/.daytona/computeruse/entrypoint

ls /home/daytona/.daytona/computeruse/ ls /home/daytona/.daytona/sessions/0a51a5b4-8f90-4158-bbae-3216dc633117/

ls -la /home/daytona/.daytona/ file /home/daytona/.daytona/computeruse file /home/daytona/.daytona/sessions

ls /home/daytona/.daytona/sessions/ find /home/daytona/.daytona/sessions/ -type f 2>/dev/null | head -20

# Let me try a different approach - use Python's base64 to encode images and use # the read_file tool approach, OR try uploading to a public service temporarily # # Actually, let me check if there's a way to use the daytona public URL # The hostname is 8c950554-2199-495d-8ee0-4abcaf01ba01 # Daytona typically exposes services via subdomains like: # {port}-{workspace-id}.{region}.daytona.app # Let's check if there's a DAYTONA_SERVER_URL or similar env var env | head -50

# DAYTONA_REGION_ID=us and DAYTONA_SANDBOX_ID=8c950554-2199-495d-8ee0-4abcaf01ba01 # Daytona public URL pattern is typically: https://{port}-{sandbox-id}.{region}.daytona.app # OR: https://{sandbox-id}-{port}.{region}.daytona.app # Let's try the public URL SANDBOX_ID="8c950554-2199-495d-8ee0-4abcaf01ba01" PORT="2280" REGION="us" echo "Trying: https://${PORT}-${SANDBOX_ID}.${REGION}.daytona.app/files/download?path=workspace/pdf_pages/page_01.png" # Also try port 2280 for the file server curl -s -o /dev/null -w "HTTP %{http_code}" "https://${PORT}-${SANDBOX_ID}.${REGION}.daytona.app/files/download?path=workspace/pdf_pages/page_01.png" 2>&1 || echo "Failed"

# Try alternative URL patterns SANDBOX_ID="8c950554-2199-495d-8ee0-4abcaf01ba01" # Try without region curl -s -o /dev/null -w "HTTP %{http_code}\n" "https://2280-${SANDBOX_ID}.daytona.app/files/download?path=workspace/pdf_pages/page_01.png" 2>&1 # Try app.daytona.io curl -s -o /dev/null -w "HTTP %{http_code}\n" "https://2280-${SANDBOX_ID}.app.daytona.io/files/download?path=workspace/pdf_pages/page_01.png" 2>&1

SANDBOX_ID="8c950554-2199-495d-8ee0-4abcaf01ba01" # Try us.daytona.app curl -v "https://2280-${SANDBOX_ID}.us.app.daytona.io/files/download?path=workspace/pdf_pages/page_01.png" 2>&1 | grep -E "HTTP|Location|< " | head -10

SANDBOX_ID="8c950554-2199-495d-8ee0-4abcaf01ba01" # Check /proc/net to find external connectivity curl -I "https://${SANDBOX_ID}.us.daytona.app/files/download?path=workspace/pdf_pages/page_01.png" 2>&1 | head -15

# Let me try a different approach - convert PNG to base64 and create a script # that uses Python's PIL/vision capabilities directly, OR use file:// URLs # OR perhaps use a public image host # First, let me check if we can use imgbb or similar service # Or use a data: URI approach # Actually, the best approach is to encode images as base64 and pass them directly # Let's check if analyse_media supports data: URIs python3 -c " import base64 with open('/home/daytona/workspace/pdf_pages/page_01.png', 'rb') as f: data = f.read() print('Size:', len(data)) print('b64 size:', len(base64.b64encode(data))) "

# Check if there's a public file hosting option or if we can use the daytona API # Let me check the daytona SDK/API pip show daytona-sdk 2>/dev/null | head -5 pip show daytona 2>/dev/null | head -5

# Try using the daytona Python SDK to get a preview URL python3 -c " import daytona print(dir(daytona)) " 2>&1 | head -20

# Try the Sandbox get_preview_link method python3 -c " import daytona help(daytona.Sandbox.get_preview_link) " 2>&1 | head -20

python3 -c " import os import daytona # We're inside the sandbox, need to connect to ourselves # Check if DAYTONA_API_KEY or similar is available for key in ['DAYTONA_API_KEY', 'DAYTONA_SERVER_URL', 'DAYTONA_API_URL']: print(f'{key}={os.environ.get(key, \"NOT SET\")}') "

# Let me check if there's a metadata endpoint that gives us the public URL curl -s "http://localhost:2280/metadata" 2>&1 | head -20 curl -s "http://localhost:2280/workspace" 2>&1 | head -20 curl -s "http://localhost:2280/info" 2>&1 | head -20

mkdir -p /home/daytona/workspace/pdf_extract && python3 -c " from pdf2image import convert_from_path pages = convert_from_path('/home/daytona/workspace/attachments/1fad861f-fd58-419a-b881-8d911d0fc319/Screenshot 2026-07-12 at 23.05.01 (1).pdf', dpi=180) print(f'Total pages: {len(pages)}') for i, page in enumerate(pages): out = f'/home/daytona/workspace/pdf_extract/page_{i+1:02d}.png' page.save(out, 'PNG') print(f'Saved {out} ({page.size})') print('Done') "

pkill -f "http.server 8766" 2>/dev/null; python3 -m http.server 8766 --directory /home/daytona/workspace/pdf_extract & sleep 2 curl -s -o /dev/null -w "%{http_code}" http://localhost:8766/page_01.png

nohup python3 -m http.server 8766 --directory /home/daytona/workspace/pdf_extract > /tmp/server.log 2>&1 & echo "PID: $!" sleep 3 echo "Server status:" curl -s -o /dev/null -w "HTTP %{http_code}\n" http://localhost:8766/page_01.png || echo "failed"

python3 -c " import pytesseract from PIL import Image import os pages_dir = '/home/daytona/workspace/pdf_extract' all_text = {} for i in range(1, 13): path = f'{pages_dir}/page_{i:02d}.png' img = Image.open(path) text = pytesseract.image_to_string(img, config='--psm 3') all_text[i] = text print(f'=== PAGE {i} ===') print(text[:2000]) print() " 2>&1 | head -400

python3 -c " import pytesseract from PIL import Image import json pages_dir = '/home/daytona/workspace/pdf_extract' all_text = {} for i in range(1, 13): path = f'{pages_dir}/page_{i:02d}.png' img = Image.open(path) text = pytesseract.image_to_string(img, config='--psm 3') all_text[i] = text with open('/home/daytona/workspace/pdf_extract/all_pages.json', 'w') as f: json.dump(all_text, f) print('All pages extracted') for i in range(1,13): print(f'Page {i}: {len(all_text[str(i) if str(i) in all_text else i])} chars') " 2>&1

for i in $(seq 6 12); do python3 -c " import pytesseract from PIL import Image i = $i path = f'/home/daytona/workspace/pdf_extract/page_{i:02d}.png' img = Image.open(path) text = pytesseract.image_to_string(img, config='--psm 3') with open(f'/home/daytona/workspace/pdf_extract/page_{i:02d}.txt', 'w') as f: f.write(text) print(f'Page $i done: {len(text)} chars') " done

for i in 1 2 3 4 5; do python3 -c " import pytesseract from PIL import Image i = $i path = f'/home/daytona/workspace/pdf_extract/page_{i:02d}.png' img = Image.open(path) text = pytesseract.image_to_string(img, config='--psm 3') with open(f'/home/daytona/workspace/pdf_extract/page_{i:02d}.txt', 'w') as f: f.write(text) print(f'Page $i done: {len(text)} chars') " done