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Archetyp-Strategien priorisieren ausführungsbereite APs mit Begründung execution_ready/critical_path; continuous_product und program_delivery integriert. Co-authored-by: Cursor <cursoragent@cursor.com>
68 lines
2.0 KiB
Python
68 lines
2.0 KiB
Python
"""Sequential dependency 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.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 SequentialDependencyStrategy:
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key = "sequential_dependency"
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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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ready = list_execution_ready_candidates(
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ctx,
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initiative_id,
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limit=limit,
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prefer_critical_path=True,
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)
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if len(ready) >= limit:
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return ready[:limit]
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from steering.strategies.next_action.execution_ready import (
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blocked_execution_action_ids,
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)
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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(ready)
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)
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blocked_ids = blocked_execution_action_ids(ctx, initiative_id)
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filtered = [
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item
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for item in rest
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if not item.get("action_id") or item["action_id"] not in blocked_ids
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]
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return merge_candidates(ready, filtered, limit=limit)
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sequential_dependency_strategy = SequentialDependencyStrategy()
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def register_sequential_dependency_strategy() -> None:
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if not get_next_action_strategy(sequential_dependency_strategy.key):
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register_next_action_strategy(sequential_dependency_strategy)
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