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https://gitee.com/wanwujie/deer-flow
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cfa97f7a96
Implement a skills framework that enables specialized workflows for specific tasks (e.g., PDF processing, web page generation). Skills are discovered from the skills/ directory and automatically mounted in sandboxes with path mapping support. - Add SkillsConfig for configuring skills path and container mount point - Implement dynamic skill loading from SKILL.md files with YAML frontmatter - Add path mapping in LocalSandbox to translate container paths to local paths - Mount skills directory in AIO Docker sandbox containers - Update lead agent prompt to dynamically inject available skills - Add setup documentation and expand config.example.yaml Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
36 lines
1.1 KiB
Python
36 lines
1.1 KiB
Python
import os
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import sys
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from pdf2image import convert_from_path
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# Converts each page of a PDF to a PNG image.
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def convert(pdf_path, output_dir, max_dim=1000):
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images = convert_from_path(pdf_path, dpi=200)
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for i, image in enumerate(images):
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# Scale image if needed to keep width/height under `max_dim`
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width, height = image.size
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if width > max_dim or height > max_dim:
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scale_factor = min(max_dim / width, max_dim / height)
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new_width = int(width * scale_factor)
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new_height = int(height * scale_factor)
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image = image.resize((new_width, new_height))
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image_path = os.path.join(output_dir, f"page_{i+1}.png")
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image.save(image_path)
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print(f"Saved page {i+1} as {image_path} (size: {image.size})")
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print(f"Converted {len(images)} pages to PNG images")
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if __name__ == "__main__":
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if len(sys.argv) != 3:
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print("Usage: convert_pdf_to_images.py [input pdf] [output directory]")
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sys.exit(1)
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pdf_path = sys.argv[1]
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output_directory = sys.argv[2]
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convert(pdf_path, output_directory)
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