from operator import add, mul
import os
from time import sleep
from distutils.version import LooseVersion

from dask.diagnostics import Profiler, ResourceProfiler, CacheProfiler
from dask.threaded import get
from dask.utils import ignoring, tmpfile, apply
import pytest

try:
    import bokeh
except ImportError:
    bokeh = None
try:
    import psutil
except ImportError:
    psutil = None


prof = Profiler()


dsk = {"a": 1, "b": 2, "c": (add, "a", "b"), "d": (mul, "a", "b"), "e": (mul, "c", "d")}

dsk2 = {"a": 1, "b": 2, "c": (lambda a, b: sleep(0.1) or (a + b), "a", "b")}
# Bokeh, via jinja https://github.com/pallets/jinja/issues/998
ignore_abc_warning = pytest.mark.filterwarnings(
    "ignore:Using or importing:DeprecationWarning"
)


def test_profiler():
    with prof:
        out = get(dsk, "e")
    assert out == 6
    prof_data = sorted(prof.results, key=lambda d: d.key)
    keys = [i.key for i in prof_data]
    assert keys == ["c", "d", "e"]
    tasks = [i.task for i in prof_data]
    assert tasks == [(add, "a", "b"), (mul, "a", "b"), (mul, "c", "d")]
    prof.clear()
    assert prof.results == []


def test_profiler_works_under_error():
    div = lambda x, y: x / y
    dsk = {"x": (div, 1, 1), "y": (div, "x", 2), "z": (div, "y", 0)}

    with ignoring(ZeroDivisionError):
        with prof:
            get(dsk, "z")

    assert all(len(v) == 5 for v in prof.results)
    assert len(prof.results) == 2


def test_two_gets():
    with prof:
        get(dsk, "e")
    n = len(prof.results)

    dsk2 = {"x": (add, 1, 2), "y": (add, "x", "x")}

    with prof:
        get(dsk2, "y")
    m = len(prof.results)

    with prof:
        get(dsk, "e")
        get(dsk2, "y")
        get(dsk, "e")

    assert len(prof.results) == n + m + n


@pytest.mark.skipif("not psutil")
def test_resource_profiler():
    with ResourceProfiler(dt=0.01) as rprof:
        get(dsk2, "c")
    results = rprof.results
    assert len(results) > 0
    assert all(isinstance(i, tuple) and len(i) == 3 for i in results)

    # Tracker stopped on exit
    assert not rprof._is_running()

    rprof.clear()
    assert rprof.results == []

    # Close is idempotent
    rprof.close()
    assert not rprof._is_running()

    # Restarts tracker if already closed
    with rprof:
        get(dsk2, "c")
    assert len(rprof.results) > 0


@pytest.mark.skipif("not psutil")
def test_resource_profiler_multiple_gets():
    with ResourceProfiler(dt=0.01) as rprof:
        get(dsk2, "c")
        assert len(rprof.results) == 0
        get(dsk2, "c")
    results = rprof.results
    assert all(isinstance(i, tuple) and len(i) == 3 for i in results)

    rprof.clear()
    rprof.register()
    get(dsk2, "c")
    assert len(rprof.results) > 0
    get(dsk2, "c")
    rprof.unregister()

    results = rprof.results
    assert all(isinstance(i, tuple) and len(i) == 3 for i in results)

    rprof.close()
    assert not rprof._is_running()


def test_cache_profiler():
    with CacheProfiler() as cprof:
        get(dsk2, "c")
    results = cprof.results
    assert all(isinstance(i, tuple) and len(i) == 5 for i in results)

    cprof.clear()
    assert cprof.results == []

    tics = [0]

    def nbytes(res):
        tics[0] += 1
        return tics[0]

    with CacheProfiler(nbytes) as cprof:
        get(dsk2, "c")

    results = cprof.results
    assert tics[-1] == len(results)
    assert tics[-1] == results[-1].metric
    assert cprof._metric_name == "nbytes"
    assert CacheProfiler(metric=nbytes, metric_name="foo")._metric_name == "foo"


@pytest.mark.parametrize(
    "profiler",
    [
        Profiler,
        pytest.param(
            lambda: ResourceProfiler(dt=0.01), marks=pytest.mark.skipif("not psutil")
        ),
        CacheProfiler,
    ],
)
def test_register(profiler):
    prof = profiler()
    try:
        prof.register()
        get(dsk2, "c")
        n = len(prof.results)
        assert n > 0
        get(dsk2, "c")
        assert len(prof.results) > n
    finally:
        prof.unregister()


@pytest.mark.skipif("not bokeh")
@ignore_abc_warning
def test_unquote():
    from dask.diagnostics.profile_visualize import unquote

    t = {"a": 1, "b": 2, "c": 3}
    task_dask = (dict, [["a", 1], ["b", 2], ["c", 3]])
    assert unquote(task_dask) == t

    t = {"a": [1, 2, 3], "b": 2, "c": 3}
    task_dask = (dict, [["a", [1, 2, 3]], ["b", 2], ["c", 3]])
    assert unquote(task_dask) == t

    t = [1, 2, 3]
    task_dask = [1, 2, 3]
    assert unquote(task_dask) == t


@pytest.mark.skipif("not bokeh")
@ignore_abc_warning
def test_pprint_task():
    from dask.diagnostics.profile_visualize import pprint_task

    keys = set(["a", "b", "c", "d", "e"])
    assert pprint_task((add, "a", 1), keys) == "add(_, *)"
    assert pprint_task((add, (add, "a", 1)), keys) == "add(add(_, *))"
    res = "sum([*, _, add(_, *)])"
    assert pprint_task((sum, [1, "b", (add, "a", 1)]), keys) == res
    assert pprint_task((sum, (1, 2, 3, 4, 5, 6, 7)), keys) == "sum(*)"

    assert len(pprint_task((sum, list(keys) * 100), keys)) < 100
    assert pprint_task((sum, list(keys) * 100), keys) == "sum([_, _, _, ...])"
    assert (
        pprint_task((sum, [1, 2, (sum, ["a", 4]), 5, 6] * 100), keys)
        == "sum([*, *, sum([_, *]), ...])"
    )
    assert (
        pprint_task((sum, [1, 2, (sum, ["a", (sum, [1, 2, 3])]), 5, 6]), keys)
        == "sum([*, *, sum([_, sum(...)]), ...])"
    )

    # With kwargs
    def foo(w, x, y=(), z=3):
        return w + x + sum(y) + z

    task = (apply, foo, (tuple, ["a", "b"]), (dict, [["y", ["a", "b"]], ["z", "c"]]))
    assert pprint_task(task, keys) == "foo(_, _, y=[_, _], z=_)"
    task = (apply, foo, (tuple, ["a", "b"]), (dict, [["y", ["a", 1]], ["z", 1]]))
    assert pprint_task(task, keys) == "foo(_, _, y=[_, *], z=*)"


def check_title(p, title):
    # bokeh 0.12 changed the title attribute to not a string
    return getattr(p.title, "text", p.title) == title


@pytest.mark.skipif("not bokeh")
@ignore_abc_warning
def test_profiler_plot():
    with prof:
        get(dsk, "e")
    p = prof.visualize(
        plot_width=500,
        plot_height=300,
        tools="hover",
        title="Not the default",
        show=False,
        save=False,
    )
    assert p.plot_width == 500
    assert p.plot_height == 300
    assert len(p.tools) == 1
    assert isinstance(p.tools[0], bokeh.models.HoverTool)
    assert check_title(p, "Not the default")
    # Test empty, checking for errors
    prof.clear()
    with pytest.warns(None) as record:
        prof.visualize(show=False, save=False)

    assert len(record) == 0


@pytest.mark.skipif("not bokeh")
@pytest.mark.skipif("not psutil")
@ignore_abc_warning
def test_resource_profiler_plot():
    with ResourceProfiler(dt=0.01) as rprof:
        get(dsk2, "c")
    p = rprof.visualize(
        plot_width=500,
        plot_height=300,
        tools="hover",
        title="Not the default",
        show=False,
        save=False,
    )
    assert p.plot_width == 500
    assert p.plot_height == 300
    assert len(p.tools) == 1
    assert isinstance(p.tools[0], bokeh.models.HoverTool)
    assert check_title(p, "Not the default")

    # Test with empty and one point, checking for errors
    rprof.clear()
    for results in [[], [(1.0, 0, 0)]]:
        rprof.results = results
        with pytest.warns(None) as record:
            p = rprof.visualize(show=False, save=False)
        assert len(record) == 0
        # Check bounds are valid
        assert p.x_range.start == 0
        assert p.x_range.end == 1
        assert p.y_range.start == 0
        assert p.y_range.end == 100
        assert p.extra_y_ranges["memory"].start == 0
        assert p.extra_y_ranges["memory"].end == 100


@pytest.mark.skipif("not bokeh")
@ignore_abc_warning
def test_cache_profiler_plot():
    with CacheProfiler(metric_name="non-standard") as cprof:
        get(dsk, "e")
    p = cprof.visualize(
        plot_width=500,
        plot_height=300,
        tools="hover",
        title="Not the default",
        show=False,
        save=False,
    )
    assert p.plot_width == 500
    assert p.plot_height == 300
    assert len(p.tools) == 1
    assert isinstance(p.tools[0], bokeh.models.HoverTool)
    assert check_title(p, "Not the default")
    assert p.axis[1].axis_label == "Cache Size (non-standard)"
    # Test empty, checking for errors
    cprof.clear()
    with pytest.warns(None) as record:
        cprof.visualize(show=False, save=False)

    assert len(record) == 0


@pytest.mark.skipif("not bokeh")
@pytest.mark.skipif("not psutil")
@ignore_abc_warning
def test_plot_multiple():
    from dask.diagnostics.profile_visualize import visualize

    with ResourceProfiler(dt=0.01) as rprof:
        with prof:
            get(dsk2, "c")
    p = visualize(
        [prof, rprof], label_size=50, title="Not the default", show=False, save=False
    )
    bokeh_version = LooseVersion(bokeh.__version__)
    if bokeh_version >= "1.1.0":
        figures = [r[0] for r in p.children[1].children]
    elif bokeh_version >= "0.12.0":
        figures = [r.children[0] for r in p.children[1].children]
    else:
        figures = [r[0] for r in p.children]
    assert len(figures) == 2
    assert check_title(figures[0], "Not the default")
    assert figures[0].xaxis[0].axis_label is None
    assert figures[1].title is None
    assert figures[1].xaxis[0].axis_label == "Time (s)"
    # Test empty, checking for errors
    prof.clear()
    rprof.clear()
    visualize([prof, rprof], show=False, save=False)


@pytest.mark.skipif("not bokeh")
@ignore_abc_warning
def test_saves_file():
    with tmpfile("html") as fn:
        with prof:
            get(dsk, "e")
        # Run just to see that it doesn't error
        prof.visualize(show=False, file_path=fn)

        assert os.path.exists(fn)
        with open(fn) as f:
            assert "html" in f.read().lower()


@pytest.mark.skipif("not bokeh")
@ignore_abc_warning
def test_get_colors():
    from dask.diagnostics.profile_visualize import get_colors
    from bokeh.palettes import Blues5, Viridis

    # 256-color palettes were added in bokeh 1.4.0
    if LooseVersion(bokeh.__version__) >= "1.4.0":
        from bokeh.palettes import Blues256

        funcs = list(range(11))
        cmap = get_colors("Blues", funcs)
        assert set(cmap) < set(Blues256)
        assert len(set(cmap)) == 11

    funcs = list(range(5))
    cmap = get_colors("Blues", funcs)
    lk = dict(zip(funcs, Blues5))
    assert cmap == [lk[i] for i in funcs]

    funcs = [0, 1, 0, 1, 0, 1]
    cmap = get_colors("BrBG", funcs)
    assert len(set(cmap)) == 2

    funcs = list(range(100))
    cmap = get_colors("Viridis", funcs)
    assert len(set(cmap)) == 100

    funcs = list(range(300))
    cmap = get_colors("Viridis", funcs)
    assert len(set(cmap)) == len(set(Viridis[256]))
