"""Tests for KernelRunner greenlet-based execution (ADR-0020 D3)."""
import numpy as np
import simpy

from kernbench.sim_engine.memory_store import MemoryStore
from kernbench.triton_emu.kernel_runner import KernelRunner


def _make_runner(env, store=None):
    """Create a minimal KernelRunner with mock scheduler port."""
    scheduler_id = "sip0.cube0.pe0.pe_scheduler"
    out_ports = {scheduler_id: simpy.Store(env)}
    runner = KernelRunner(
        pe_prefix="sip0.cube0.pe0",
        pe_idx=0, sip_idx=0, cube_idx=0,
        scheduler_id=scheduler_id,
        out_ports=out_ports,
        store=store,
    )
    return runner, out_ports[scheduler_id]


def _mock_scheduler(env, inbox):
    """Consume PeInternalTxn from inbox and immediately succeed."""
    while True:
        pe_txn = yield inbox.get()
        pe_txn.done.succeed()


def test_kernel_runner_basic_load():
    """Kernel with tl.load runs through greenlet without hanging."""
    env = simpy.Environment()
    store = MemoryStore()
    data = np.ones((4, 4), dtype=np.float16)
    store.write("hbm", 0x1000, data)

    runner, sched_port = _make_runner(env, store)
    env.process(_mock_scheduler(env, sched_port))

    def kernel(a_ptr, tl):
        a = tl.load(a_ptr, (4, 4), "f16")
        assert a.data is not None
        assert a.data.shape == (4, 4)

    def run():
        yield from runner.run(env, kernel, [0x1000], num_programs=1)

    env.process(run())
    env.run()


def test_kernel_runner_load_returns_data():
    """tl.load returns actual numpy data from MemoryStore."""
    env = simpy.Environment()
    store = MemoryStore()
    data = np.array([[1.0, 2.0], [3.0, 4.0]], dtype=np.float16)
    store.write("hbm", 0x2000, data)

    runner, sched_port = _make_runner(env, store)
    env.process(_mock_scheduler(env, sched_port))

    results = {}

    def kernel(ptr, tl):
        a = tl.load(ptr, (2, 2), "f16")
        results["data"] = a.data

    def run():
        yield from runner.run(env, kernel, [0x2000], num_programs=1)

    env.process(run())
    env.run()
    assert results["data"] is data  # reference equality


def test_kernel_runner_composite():
    """Composite commands pass through without blocking kernel."""
    env = simpy.Environment()
    runner, sched_port = _make_runner(env)
    env.process(_mock_scheduler(env, sched_port))

    def kernel(a_ptr, b_ptr, out_ptr, tl):
        a = tl.ref(a_ptr, (4, 8), "f16")
        b = tl.ref(b_ptr, (8, 4), "f16")
        h = tl.composite(op="gemm", a=a, b=b, out_ptr=out_ptr)
        tl.wait(h)

    def run():
        yield from runner.run(env, kernel, [0, 64, 128], num_programs=1)

    env.process(run())
    env.run()


def test_kernel_runner_dynamic_branch():
    """Kernel can branch based on loaded data (ADR-0020 D3)."""
    env = simpy.Environment()
    store = MemoryStore()
    store.write("hbm", 0x100, np.array([1.0], dtype=np.float32))
    store.write("hbm", 0x200, np.array([0.0], dtype=np.float32))

    runner, sched_port = _make_runner(env, store)
    env.process(_mock_scheduler(env, sched_port))

    results = {"branch": None}

    def kernel(flag_ptr, tl):
        flag = tl.load(flag_ptr, (1,), "f32")
        if flag.data is not None and flag.data[0] > 0.5:
            results["branch"] = "taken"
        else:
            results["branch"] = "not_taken"

    # Test with flag=1.0 → branch taken
    def run():
        yield from runner.run(env, kernel, [0x100], num_programs=1)

    env.process(run())
    env.run()
    assert results["branch"] == "taken"


def test_kernel_runner_no_store():
    """Without MemoryStore, tl.load returns handle with data=None."""
    env = simpy.Environment()
    runner, sched_port = _make_runner(env, store=None)
    env.process(_mock_scheduler(env, sched_port))

    results = {}

    def kernel(ptr, tl):
        a = tl.load(ptr, (4,), "f16")
        results["data"] = a.data

    def run():
        yield from runner.run(env, kernel, [0], num_programs=1)

    env.process(run())
    env.run()
    assert results["data"] is None