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evaluate_steering() vereinheitlicht Horizon, Next Work und Attention; Snapshot und Signal Engine delegieren dorthin; slot_map deklarativ fuer sequential_dependency und generic_operating. Co-authored-by: Cursor <cursoragent@cursor.com>
151 lines
4.0 KiB
Python
151 lines
4.0 KiB
Python
"""Shared registration helper for AP2.0 method stubs — AP2.3e / AP2.4."""
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from __future__ import annotations
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from typing import Literal
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from steering.graph.profiles import (
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FULFILLMENT,
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GraphMethodProfile,
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LIGHT,
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STRICT,
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)
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from steering.lifecycle.states import STANDARD_LIFECYCLE_STEPS
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from steering.methods.registry import MethodDefinition, get_method, register_method
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_PRODUCT_LIKE_STEPS = (
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"intake",
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"method_selection",
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"structure_setup",
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"planning",
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"action_selection",
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"assignment",
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"waiting",
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"result_intake",
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"validation",
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"review",
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"adaptation",
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"closure",
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)
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_LIGHT_STEPS = (
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"intake",
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"structure_setup",
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"action_selection",
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"assignment",
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"waiting",
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"review",
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"adaptation",
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"closure",
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)
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SLICES_OM_STANDARD = frozenset(
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{
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"backlog",
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"actions",
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"roadmap",
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"projects",
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"blockers",
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"evidence",
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"decisions",
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"reviews",
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"steering_methods",
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}
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)
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SLICES_PRODUCT = SLICES_OM_STANDARD | frozenset({"work_cycles"})
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SLICES_QUEUE = frozenset({"backlog", "actions", "blockers", "steering_methods"})
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SLICES_MATURITY = frozenset(
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{
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"actions",
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"roadmap",
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"blockers",
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"evidence",
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"decisions",
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"reviews",
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"recurring",
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"steering_methods",
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}
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)
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SLICES_RECURRING = frozenset(
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{"actions", "roadmap", "recurring", "blockers", "steering_methods"}
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)
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SLICES_PROGRAM = SLICES_OM_STANDARD | frozenset({"work_cycles"})
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SLICES_GENERIC = SLICES_OM_STANDARD
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SLICES_AGILE = SLICES_PRODUCT
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ELEM_NEXT = frozenset({"next_action_primary"})
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def register_stub_method(
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*,
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key: str,
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label: str,
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description: str,
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next_action_strategy_key: str = "default",
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lifecycle_steps: tuple[str, ...] | None = None,
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data_slices: frozenset[str] | None = None,
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compatible_archetype_keys: frozenset[str] | Literal["*"] = "*",
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steering_elements: frozenset[str] | None = None,
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ui_features: frozenset[str] | None = None,
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graph_profile: GraphMethodProfile = LIGHT,
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method_role: Literal["primary", "modifier"] = "primary",
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composes_with: frozenset[str] | None = None,
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slot_map: tuple[tuple[str, str], ...] | None = None,
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) -> None:
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if get_method(key):
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return
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register_method(
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MethodDefinition(
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key=key,
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version="0.1.0",
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label=label,
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description=description,
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default_lifecycle_steps=lifecycle_steps or STANDARD_LIFECYCLE_STEPS,
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next_action_strategy_key=next_action_strategy_key,
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data_slices=data_slices or SLICES_GENERIC,
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compatible_archetype_keys=compatible_archetype_keys,
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steering_elements=steering_elements or ELEM_NEXT,
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ui_features=ui_features or frozenset(),
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graph_profile=graph_profile,
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method_role=method_role,
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composes_with=composes_with or frozenset(),
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slot_map=slot_map or (),
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)
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)
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def register_product_like_method(
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*,
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key: str,
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label: str,
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description: str,
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next_action_strategy_key: str,
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data_slices: frozenset[str] | None = None,
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compatible_archetype_keys: frozenset[str] | Literal["*"] | None = None,
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steering_elements: frozenset[str] | None = None,
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ui_features: frozenset[str] | None = None,
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graph_profile: GraphMethodProfile = STRICT,
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) -> None:
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register_stub_method(
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key=key,
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label=label,
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description=description,
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next_action_strategy_key=next_action_strategy_key,
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lifecycle_steps=_PRODUCT_LIKE_STEPS,
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data_slices=data_slices or SLICES_PRODUCT,
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compatible_archetype_keys=compatible_archetype_keys
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if compatible_archetype_keys is not None
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else frozenset({"initiative.product"}),
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steering_elements=steering_elements
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or (ELEM_NEXT | frozenset({"gate_fulfillment", "work_cycle_scope"})),
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ui_features=ui_features or frozenset(),
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graph_profile=graph_profile,
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)
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