eSlider
4fdc0ef4a8
- tools/kblib.py: ladybug schema, embeddings, FTS+vector, hybrid RRF
- bin/kb/{index,search,get,stats,eval}: corpus indexing + deduction search
- bin/facts/{extract,audit}: 2-source evidence acquisition + gates
- serve/: async Go HTTP server (goroutines, bounded worker pool), TDD
- docker/ flattened to root: compose.yaml + Dockerfile (multi-stage Go)
- docker scripts -> bin/ shebang pattern (kb-watch, docker-entrypoint)
- bin/ci/semver + tools/semver.py: conventional-commit semver release
- ci.yml: go tests + shell checks; drop release-please (PR toggle blocked)
40 lines
966 B
Python
Executable File
40 lines
966 B
Python
Executable File
#!/usr/bin/env python3
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"""kb/stats - index health for the 2dph brain.
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bin/kb/stats # leaf counts by root, db size, model
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bin/kb/stats --json # machine-readable
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"""
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from __future__ import annotations
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import json
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import sys
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from pathlib import Path
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ROOT = Path(__file__).resolve().parents[2]
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sys.path.insert(0, str(ROOT / "tools"))
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from kblib import open_readonly, stats # noqa: E402
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from yamlout import to_yaml # noqa: E402
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def main(argv: list[str]) -> int:
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import argparse
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p = argparse.ArgumentParser(description="brain index health")
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p.add_argument("--json", action="store_true")
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a = p.parse_args(argv)
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try:
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db, conn = open_readonly()
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except FileNotFoundError as e:
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print(e, file=sys.stderr)
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return 1
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s = stats(conn)
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conn.close()
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db.close()
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print(json.dumps(s, indent=2) if a.json else to_yaml(s))
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return 0
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if __name__ == "__main__":
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sys.exit(main(sys.argv[1:])) |