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feat(hunt): feature table, producers, labels, metric, artifact, the DSPy hunt program, runner and CLI
hunter-learning-loop groups 1-3 (first increment). The feature table is the contract: one row per touched function with diff, source, semantic and taxonomy columns, provenance per producer, labels by the benchmark's rule. Producers read the repository at head only (a planted advisory id and commit text never reach a feature). The hunt program is a DSPy ReAct loop over a signature whose inputs are the unmasked columns in a fixed order; answers outside the closed family list or citing unseen lines score as unknown. The runner writes records the benchmark scorer reads, resumable by change, program id and mask, and refuses the held-out pilot unless the run is a report run. Research extra [hunt] = dspy, pandas; the core install is unchanged. 43 tests on a scripted model, no network. Co-Authored-By: Claude Fable 5.1 <[email protected]>
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co-authored by
Claude Fable 5.1
parent
e55e44d981
commit
d9d6335ab3
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"""Attach benchmark fix-site labels without exposing them to feature producers."""
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from __future__ import annotations
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from collections.abc import Mapping, Sequence
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from copy import deepcopy
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from typing import Any
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def label_rows(rows: Sequence[Mapping[str, Any]], change: Mapping[str, Any]) -> list[dict[str, Any]]:
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"""Label verified sites, leave other positive rows unknown and label ordinary rows zero."""
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kind = change.get("kind")
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if kind not in ("vulnerability", "ordinary"):
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raise ValueError("change kind must be vulnerability or ordinary")
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if not change.get("case_id"):
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raise ValueError("a label needs a traceable case_id")
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if kind == "vulnerability" and not all(change.get(k) for k in ("path", "function", "function_lines", "family")):
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raise ValueError("a vulnerability label needs its path, function, span and family")
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result = []
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for row in rows:
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data = deepcopy(dict(row))
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span = change.get("function_lines")
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function = row.get("function", row.get("feature.source.function"))
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site = kind == "vulnerability" and row.get("path") == change["path"] and (
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function == change["function"] or (span[0] <= row.get("line", 0) <= span[1])
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)
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data.update(label=1 if site else 0 if kind == "ordinary" else None,
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family=change["family"] if site else None,
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fix_span=list(span) if site else None,
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label_ref=change["case_id"] if site or kind == "ordinary" else None,
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verification=None)
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result.append(data)
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return result
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