"""Live planning turn: a real model must answer with a submit_plan or
ask_human tool call, not prose.

Plans with the test config's planner role. Planning escalates to a frontier
model unconditionally (A12), and small local models do not hold the tool-call
contract reliably, so that role must be one that does.
"""

import io
from pathlib import Path

import pytest

from nisse_dev.canonical import UserMessage
from nisse_dev.control import AskHuman, SubmitPlan
from nisse_dev.llm import LiteLLMClient, RoleMap
from nisse_dev.oplog import OpLog
from nisse_dev.planner import LLMPlanningAgent
from nisse_dev.state import StateStore

pytestmark = pytest.mark.integration


def test_live_planning_turn_returns_a_tool_action(
    tmp_path: Path, litellm: LiteLLMClient, live_model: str
) -> None:
    model = live_model
    roles = RoleMap(executor=model, planner=model, delegate=model, consultant=model)
    store = StateStore(tmp_path / "state.db", oplog=OpLog("nisse-dev", io.StringIO()))
    store.append_event(
        UserMessage(
            text=(
                "Project 'hello-cli': a Python script that prints a greeting. "
                "Draft the architecture plan."
            ),
            source="live-test",
        )
    )
    agent = LLMPlanningAgent(litellm, store, roles)

    action = agent.plan("arch", "hello-cli")

    assert isinstance(action, SubmitPlan | AskHuman)
    text = action.content if isinstance(action, SubmitPlan) else action.question
    assert text.strip(), "tool call carried empty content"
    # The turn must be durable regardless of what the model said (A2/A10).
    assert len(store.read_events()) > 1