Kairo-Jinkendo/backend/steering/signals/engine.py
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AP2.2d: B2b Product-Backlog und B3 Sprint-Backlog in UI.
Zeitbox-API im Frontend, Plan/Ausführen Sprint-Ansichten, Backlog-Convert in aktiven Sprint. agile_iteration bei aktiver Zeitbox für continuous_product.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-07-12 16:27:34 +02:00

60 lines
1.9 KiB
Python

"""Signal Engine — method-aware NextAction (AP1.1)."""
from __future__ import annotations
from typing import Any, Literal
from services import steering_context as sc_service
from steering.methods.registry import get_method
from steering.signals import default_rules
from steering.strategies.next_action.default_strategy import default_strategy
from steering.strategies.next_action.registry import get_next_action_strategy
from tenant_context import TenantContext
SignalKind = Literal["attention", "next_action"]
def _resolve_method_key(ctx: TenantContext, initiative_id: str | None) -> str:
if not initiative_id:
return "generic_operating"
row = sc_service.get_steering_context(
tenant_id=ctx.tenant_id, initiative_id=initiative_id
)
if row:
return row["method_key"]
return "generic_operating"
def _resolve_next_action_strategy_key(
ctx: TenantContext, initiative_id: str | None
) -> str:
method_key = _resolve_method_key(ctx, initiative_id)
method = get_method(method_key)
strategy_key = method.next_action_strategy_key if method else default_strategy.key
if not initiative_id:
return strategy_key
from services.work_cycle import get_active_work_cycle
active = get_active_work_cycle(tenant_id=ctx.tenant_id, initiative_id=initiative_id)
if active and strategy_key == "continuous_product":
agile = get_next_action_strategy("agile_iteration")
if agile:
return agile.key
return strategy_key
def evaluate(
ctx: TenantContext,
kind: SignalKind = "attention",
*,
limit: int = 10,
initiative_id: str | None = None,
) -> list[dict[str, Any]]:
if kind == "attention":
return default_rules.get_attention_items(ctx)
strategy_key = _resolve_next_action_strategy_key(ctx, initiative_id)
strategy = get_next_action_strategy(strategy_key) or default_strategy
return strategy.evaluate(ctx, initiative_id=initiative_id, limit=limit)