import json

import pytest

from fluksio.flow.messages import DType, MessageSpec, flow_of, qualify


def test_port_defaults_to_last_name_segment():
    assert MessageSpec(name="temperature").port == "temperature"
    assert MessageSpec(name="heating.temperature").port == "temperature"
    assert MessageSpec(name="heating.temperature", port="t").port == "t"


def test_int_rejects_bool():
    # bool is a subclass of int, but a flag is not a number here.
    spec = MessageSpec(name="count", dtype=DType.INT)
    spec.check(3)
    with pytest.raises(TypeError):
        spec.check(True)


def test_float_accepts_int_but_not_bool():
    spec = MessageSpec(name="temp", dtype=DType.FLOAT)
    spec.check(21)
    spec.check(21.5)
    with pytest.raises(TypeError):
        spec.check(True)
    with pytest.raises(TypeError):
        spec.check("21")


def test_json_dtype_round_trips():
    spec = MessageSpec(name="payload", dtype=DType.JSON)
    value = {"a": [1, 2], "b": None}
    spec.check(value)
    assert json.loads(json.dumps(value)) == value


def test_record_takes_flat_scalars_only():
    spec = MessageSpec(name="notice", dtype=DType.RECORD)
    spec.check({"title": "Boiler", "count": 3, "hot": True, "detail": None})
    for wrong in ({"a": {"nested": 1}}, {"a": [1]}, [], "x"):
        with pytest.raises(TypeError):
            spec.check(wrong)


def test_series_carries_lines_and_whatever_else_the_answer_echoes():
    spec = MessageSpec(name="temps", dtype=DType.SERIES)
    spec.check(
        {
            "range_s": 3600,
            "interval_s": 60,
            "lines": [{"label": "living", "points": [[1.0, 21.5], [2.0, 21.6]]}],
        }
    )
    spec.check({"lines": []})
    for wrong in (
        {"lines": [{"label": "a", "points": [[1.0, 2.0, 3.0]]}]},
        {"lines": [{"label": "a", "points": [["1", 2.0]]}]},
        {"lines": [{"label": 1, "points": []}]},
        {"lines": {}},
        {},
    ):
        with pytest.raises(TypeError):
            spec.check(wrong)


def test_list_items_follow_the_declared_shape():
    records = MessageSpec(name="agenda", dtype=DType.LIST)
    records.check([{"title": "Dentist", "ts": 1.0}])
    records.check([])
    with pytest.raises(TypeError):
        records.check([1.0])

    numbers = MessageSpec(name="window", dtype=DType.LIST, item=DType.FLOAT)
    numbers.check([21.4, 2])
    for wrong in ([True], ["1"], 1.0):
        with pytest.raises(TypeError):
            numbers.check(wrong)


def test_the_failing_item_is_named():
    spec = MessageSpec(name="window", dtype=DType.LIST, item=DType.FLOAT)
    with pytest.raises(TypeError, match="index 1"):
        spec.check([1.0, "x"])


def test_a_list_holds_one_declared_level():
    for item in (DType.LIST, DType.SERIES):
        with pytest.raises(ValueError):
            MessageSpec(name="x", dtype=DType.LIST, item=item)


def test_coerce_parses_structured_text():
    spec = MessageSpec(name="notice", dtype=DType.RECORD)
    assert spec.coerce('{"title": "Boiler"}') == {"title": "Boiler"}
    assert spec.coerce({"title": "Boiler"}) == {"title": "Boiler"}


def test_coerce_from_text():
    assert MessageSpec(name="a", dtype=DType.FLOAT).coerce("2.5") == 2.5
    assert MessageSpec(name="a", dtype=DType.INT).coerce("7") == 7
    assert MessageSpec(name="a", dtype=DType.BOOL).coerce("yes") is True
    assert MessageSpec(name="a", dtype=DType.BOOL).coerce("0") is False


def test_spec_serializes():
    spec = MessageSpec(name="heating.temp", dtype=DType.FLOAT)
    assert MessageSpec.model_validate_json(spec.model_dump_json()) == spec


def test_qualify_scopes_bare_names_only():
    assert qualify("heating", "temp") == "heating.temp"
    assert qualify("heating", "solar.power") == "solar.power"
    assert qualify("heating", "") == ""
    assert flow_of("heating.temp") == "heating"