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AP2.0e rotiert Recurring bei maturity_stage reached. Maturity-Strategie priorisiert Routinen. Team zeigt Namen und Agent-Formular. Archetyp-Hints in Kontrolle und Stufe-A-Gruppierung bei Anlage. Co-authored-by: Cursor <cursoragent@cursor.com>
62 lines
1.9 KiB
Python
62 lines
1.9 KiB
Python
"""Recurring control NextAction strategy — AP2.0d."""
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from __future__ import annotations
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from typing import Any
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from steering.strategies.next_action.recurring_helpers import recurring_due_candidates
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from steering.signals import default_rules
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from steering.strategies.next_action.default_strategy import DefaultNextActionStrategy
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from steering.strategies.next_action.execution_ready import (
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list_execution_ready_candidates,
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merge_candidates,
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)
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from steering.strategies.next_action.registry import (
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get_next_action_strategy,
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register_next_action_strategy,
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)
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from tenant_context import TenantContext
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_default = DefaultNextActionStrategy()
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class RecurringControlStrategy:
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key = "recurring_control"
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def evaluate(
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self,
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ctx: TenantContext,
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*,
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initiative_id: str | None = None,
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limit: int = 10,
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) -> list[dict[str, Any]]:
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if limit < 1:
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limit = 1
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if not initiative_id:
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return _default.evaluate(ctx, limit=limit)
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recurring = recurring_due_candidates(ctx, initiative_id, limit=limit)
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remaining = limit - len(recurring)
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ready: list[dict[str, Any]] = []
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if remaining > 0:
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ready = list_execution_ready_candidates(
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ctx, initiative_id, limit=remaining, prefer_critical_path=False
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)
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merged = merge_candidates(recurring, ready, limit=limit)
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if len(merged) >= limit:
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return merged[:limit]
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rest = default_rules.get_next_action_candidates_for_initiative(
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ctx, initiative_id=initiative_id, limit=limit - len(merged)
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)
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return merge_candidates(merged, rest, limit=limit)
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recurring_control_strategy = RecurringControlStrategy()
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def register_recurring_control_strategy() -> None:
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if not get_next_action_strategy(recurring_control_strategy.key):
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register_next_action_strategy(recurring_control_strategy)
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