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K-Ext-4/P8 deklarative Agent-Slots; P7 tech_debt Read Model und Vokabular; Review-Attention in den Kernel verlagert. Co-authored-by: Cursor <cursoragent@cursor.com>
55 lines
1.8 KiB
Python
55 lines
1.8 KiB
Python
"""Agent slots for due planned reviews."""
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from __future__ import annotations
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from datetime import datetime, timezone
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from typing import Any
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from steering.eval_context import SteeringEvalContext
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def _parse_due(value: Any) -> datetime | None:
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if not value:
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return None
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if isinstance(value, datetime):
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return value if value.tzinfo else value.replace(tzinfo=timezone.utc)
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try:
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text = str(value).replace("Z", "+00:00")
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parsed = datetime.fromisoformat(text)
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return parsed if parsed.tzinfo else parsed.replace(tzinfo=timezone.utc)
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except ValueError:
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return None
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def resolve_review_due_slots(ctx: SteeringEvalContext) -> list[dict[str, Any]]:
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now = datetime.now(timezone.utc)
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slots: list[dict[str, Any]] = []
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for review in ctx.reviews:
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if review.get("status") != "planned":
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continue
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due = _parse_due(review.get("due_at"))
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if due is None or due > now:
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continue
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slots.append(
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{
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"slot_key": "review.due",
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"scope_type": "review",
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"scope_id": str(review["id"]),
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"title": review.get("title") or "Review",
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"summary": "Geplantes Review ist fällig",
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"actor_role_hint": "reviewer",
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"payload_keys": ["review_id", "checklist_id"],
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"priority": "high" if due < now else "normal",
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"review_id": str(review["id"]),
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"action_id": (
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str(review["action_id"]) if review.get("action_id") else None
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),
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"milestone_id": (
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str(review["milestone_id"]) if review.get("milestone_id") else None
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),
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}
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)
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return slots
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