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Zweite Built-in-Methode mit meilensteinorientierter NextAction-Strategie, API und UI-Auswahl pro Vorhaben; AP0.10d Validation-Vorlagen. Co-authored-by: Cursor <cursoragent@cursor.com>
45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
"""Signal Engine — method-aware NextAction (AP1.1)."""
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from __future__ import annotations
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from typing import Any, Literal
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from services import steering_context as sc_service
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from steering.methods.registry import get_method
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from steering.signals import default_rules
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from steering.strategies.next_action.default_strategy import default_strategy
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from steering.strategies.next_action.registry import get_next_action_strategy
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from tenant_context import TenantContext
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SignalKind = Literal["attention", "next_action"]
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def _resolve_method_key(ctx: TenantContext, initiative_id: str | None) -> str:
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if not initiative_id:
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return "generic_operating"
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row = sc_service.get_steering_context(
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tenant_id=ctx.tenant_id, initiative_id=initiative_id
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)
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if row:
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return row["method_key"]
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return "generic_operating"
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def evaluate(
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ctx: TenantContext,
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kind: SignalKind = "attention",
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*,
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limit: int = 10,
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initiative_id: str | None = None,
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) -> list[dict[str, Any]]:
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if kind == "attention":
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return default_rules.get_attention_items(ctx)
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method_key = _resolve_method_key(ctx, initiative_id)
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method = get_method(method_key)
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strategy_key = (
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method.next_action_strategy_key if method else default_strategy.key
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)
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strategy = get_next_action_strategy(strategy_key) or default_strategy
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return strategy.evaluate(ctx, initiative_id=initiative_id, limit=limit)
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