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Deploy mindnet to llm-node / deploy (push) Successful in 3s
21 lines
651 B
Python
21 lines
651 B
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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from __future__ import annotations
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from app.core.qdrant import QdrantConfig, get_client
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from collections import Counter
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import json
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def main():
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cfg = QdrantConfig.from_env()
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cl = get_client(cfg)
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col = f"{cfg.prefix}_edges"
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pts,_ = cl.scroll(collection_name=col, with_payload=True, with_vectors=False, limit=10000)
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by_rel = Counter()
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for p in pts:
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rel = p.payload.get("relation") or p.payload.get("kind") or "edge"
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by_rel[rel] += 1
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print(json.dumps({"prefix": cfg.prefix, "relations": dict(by_rel)}, ensure_ascii=False))
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if __name__ == "__main__":
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main()
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