"""Method graph profiles — AP1.4e."""

from __future__ import annotations

from dataclasses import dataclass

DEFAULT_METHOD_KEY = "generic_operating"


@dataclass(frozen=True)
class GraphMethodProfile:
    """Steuert Graph-Read-Models pro steering_context.method_key."""

    enforce_gate_blocking: bool
    emphasize_fulfillment: bool


_STRICT = GraphMethodProfile(enforce_gate_blocking=True, emphasize_fulfillment=False)
_FULFILLMENT = GraphMethodProfile(enforce_gate_blocking=False, emphasize_fulfillment=True)
_LIGHT = GraphMethodProfile(enforce_gate_blocking=False, emphasize_fulfillment=False)

METHOD_GRAPH_PROFILES: dict[str, GraphMethodProfile] = {
    "generic_operating": _LIGHT,
    "queue_pull": _LIGHT,
    "dispute_procedure": _LIGHT,
    "continuous_product": _FULFILLMENT,
    "maturity_progression": _FULFILLMENT,
    "chapter_based_progression": _FULFILLMENT,
    "product_milestone_driven": _STRICT,
    "program_delivery": _STRICT,
    "sequential_dependency": _STRICT,
    "agile_iteration": _STRICT,
    "recurring_control": _FULFILLMENT,
}


def get_graph_profile(method_key: str | None) -> GraphMethodProfile:
    if not method_key:
        return METHOD_GRAPH_PROFILES[DEFAULT_METHOD_KEY]
    return METHOD_GRAPH_PROFILES.get(method_key, _STRICT)


def enforce_gate_blocking_for_method(method_key: str | None) -> bool:
    return get_graph_profile(method_key).enforce_gate_blocking


def graph_profile_as_dict(profile: GraphMethodProfile) -> dict[str, bool]:
    return {
        "enforce_gate_blocking": profile.enforce_gate_blocking,
        "emphasize_fulfillment": profile.emphasize_fulfillment,
    }