jerryandClaude Fable 5
b813cff005
- 收编工具链遗漏主项目 08-29 新增 src/rag/normalized_release.py(backend_guard 依赖) - 编译树 45 模块全部 .so,audit 0 错误,7922 健康检查金标过 - 修复:compile 目录相对依赖 tools/(elf_visibility.py) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
81 lines
2.7 KiB
Python
Executable File
81 lines
2.7 KiB
Python
Executable File
#!/usr/bin/env python3
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"""Write the customer-facing manifest for the three-project offline delivery."""
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from __future__ import annotations
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import argparse
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import json
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import os
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from pathlib import Path
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def tree_bytes(path: Path) -> int:
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total = 0
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for directory, _, files in os.walk(path, followlinks=True):
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for filename in files:
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total += (Path(directory) / filename).stat().st_size
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return total
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def main() -> int:
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parser = argparse.ArgumentParser()
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parser.add_argument("--runtime-root", required=True, type=Path)
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parser.add_argument("--output", required=True, type=Path)
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parser.add_argument("--version", required=True)
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parser.add_argument("--generation-model", required=True)
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parser.add_argument("--embed-model", required=True)
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args = parser.parse_args()
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root = args.runtime_root.resolve()
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assets = {
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"qdrant_storage": root / "qdrant" / "storage",
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"neo4j_data": root / "neo4j" / "data",
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"bge_reranker": root / "QA" / "models" / "bge-reranker-base",
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"ollama_models": root / "ollama-models",
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}
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missing = [str(path) for path in assets.values() if not path.is_dir()]
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if missing:
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raise SystemExit("Missing runtime asset directories: " + ", ".join(missing))
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payload = {
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"release_version": args.version,
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"runtime_data_archive": f"plantai-rag-runtime-data-{args.version}.tar",
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"applications": {
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"PlantAI": {"path": "app/PlantAI_compiled", "port": 7880},
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"RAG": {"path": "app/RAG", "port": 7900},
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"QA": {"path": "app/QA", "port": 7925},
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},
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"containers": {
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"qdrant": {
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"image": "qdrant/qdrant:latest",
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"http_port": 16333,
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"grpc_port": 16334,
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"data_path": "runtime-assets/qdrant/storage",
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},
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"neo4j": {
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"image": "neo4j:5.15.0-community",
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"http_port": 17474,
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"bolt_port": 17687,
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"data_path": "runtime-assets/neo4j/data",
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},
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},
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"models": {
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"ollama_generation": args.generation_model,
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"ollama_embedding": args.embed_model,
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"ollama_path": "runtime-assets/ollama-models",
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"reranker_path": "runtime-assets/QA/models/bge-reranker-base",
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},
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"asset_bytes": {name: tree_bytes(path) for name, path in assets.items()},
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}
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args.output.parent.mkdir(parents=True, exist_ok=True)
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args.output.write_text(
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json.dumps(payload, ensure_ascii=False, indent=2) + "\n",
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encoding="utf-8",
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)
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print(json.dumps(payload["asset_bytes"], ensure_ascii=False))
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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