a65adcc2e5
Sources: extracted from two upstream archives (skill-repo, skills-main),
merged with the following policy:
- 15 broken symlinks (pointing to /Users/jameslee/.cc-switch/skills or
../../.agents/skills on a foreign machine) discarded
- 3 real name collisions with identical content (ai-pair, ifind-http-api,
zhipu-websearch) kept as one copy
- Functional overlaps deduped keeping the strongest variant:
- docx family: kept docx (official, full toolchain) + docx-cn
(GB/T 9704 Chinese official-document constants),
dropped docx_writer (no scripts, name collided with docx)
- humanizer family: kept humanizer-zh (6 zh reference docs),
dropped humanizer (en, redundant for CN workflow)
- Skills that only ran in a foreign environment removed:
ablemind-ops, app-publish, hlb-design-system, openclaw-adj-skill,
claude-driver
- alphapai excluded from this public repo because its SKILL.md hard-coded
live credentials
Result: 25 skills, 572 files, ~7.5 MB.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
76 lines
2.3 KiB
Python
76 lines
2.3 KiB
Python
#!/usr/bin/env python3
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"""原子工具：渲染 PPT
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从 Job JSON 渲染 PPT 文件。支持 template 和 composer 两种模式。
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用法:
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python render_ppt.py job.json
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python render_ppt.py job.json --data-dir data/ # 覆盖 CSV 路径前缀
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输出 (stdout):
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{"status": "ok", "output": "<path>"}
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{"status": "error", "message": "..."}
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"""
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import sys
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import json
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import argparse
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import contextlib
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
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from ppt_station.models.job import Job
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def main():
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parser = argparse.ArgumentParser(description="PPT 渲染工具")
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parser.add_argument("job_json", help="Job JSON 配置文件路径")
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parser.add_argument("--data-dir", help="覆盖 CSV datasource 的路径前缀")
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args = parser.parse_args()
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job_path = Path(args.job_json)
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if not job_path.exists():
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print(json.dumps({"status": "error", "message": f"文件不存在: {job_path}"},
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ensure_ascii=False))
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sys.exit(1)
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# 加载并验证 Job JSON
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try:
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with open(job_path, "r", encoding="utf-8") as f:
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raw = json.load(f)
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# 可选：覆盖 CSV 路径前缀
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if args.data_dir:
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data_dir = Path(args.data_dir)
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for ds in raw.get("datasources", {}).values():
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if ds.get("type") == "csv" and ds.get("path"):
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original = Path(ds["path"])
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if not original.is_absolute():
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ds["path"] = str(data_dir / original.name)
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job = Job(**raw)
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except Exception as e:
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print(json.dumps({"status": "error", "message": f"Job JSON 加载失败: {e}"},
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ensure_ascii=False))
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sys.exit(1)
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# 渲染
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try:
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from ppt_station.engine import PptEngine
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with contextlib.redirect_stdout(sys.stderr):
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engine = PptEngine()
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output_path = engine.render(job)
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print(json.dumps({"status": "ok", "output": str(output_path)},
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ensure_ascii=False))
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except Exception as e:
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print(json.dumps({"status": "error", "message": f"渲染失败: {e}"},
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ensure_ascii=False))
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sys.exit(1)
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if __name__ == "__main__":
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main()
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