35 lines
1.3 KiB
Python
35 lines
1.3 KiB
Python
"""Policy helpers for lead-agent approval and planning decisions."""
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from __future__ import annotations
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import hashlib
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from typing import Mapping
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CONFIDENCE_THRESHOLD = 80
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MIN_PLANNING_SIGNALS = 2
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def compute_confidence(rubric_scores: Mapping[str, int]) -> int:
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"""Compute aggregate confidence from rubric score components."""
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return int(sum(rubric_scores.values()))
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def approval_required(*, confidence: int, is_external: bool, is_risky: bool) -> bool:
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"""Return whether an action must go through explicit approval."""
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return is_external or is_risky or confidence < CONFIDENCE_THRESHOLD
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def infer_planning(signals: Mapping[str, bool]) -> bool:
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"""Infer planning intent from boolean heuristic signals."""
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# Require at least two planning signals to avoid spam on general boards.
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truthy = [key for key, value in signals.items() if value]
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return len(truthy) >= MIN_PLANNING_SIGNALS
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def task_fingerprint(title: str, description: str | None, board_id: str) -> str:
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"""Build a stable hash key for deduplicating similar board tasks."""
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normalized_title = title.strip().lower()
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normalized_desc = (description or "").strip().lower()
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seed = f"{board_id}::{normalized_title}::{normalized_desc}"
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return hashlib.sha256(seed.encode()).hexdigest()
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