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"""test the correctness of dump and load of data log"""
import time

import tvm
from tvm import te
from tvm.contrib import util

from tvm import autotvm
from tvm.autotvm.measure import MeasureInput, MeasureResult, MeasureErrorNo
from tvm.autotvm.record import encode, decode, ApplyHistoryBest, measure_str_key

from test_autotvm_common import get_sample_task

def test_load_dump():
    task, target = get_sample_task()

    inp = MeasureInput(target, task, task.config_space.get(0))
    result = MeasureResult((2.0, 2.23, 0.23, 0.123, 0.234, 0.123), MeasureErrorNo.NO_ERROR,
                           2.3, time.time())

    for protocol in ['json', 'pickle']:
        row = encode(inp, result, protocol=protocol)
        inp_2, result_2 = decode(row, protocol=protocol)

        assert measure_str_key(inp) == measure_str_key(inp_2), \
            "%s vs %s" % (measure_str_key(inp), measure_str_key(inp_2))
        assert result.costs == result_2.costs
        assert result.error_no == result_2.error_no
        assert result.timestamp == result_2.timestamp


def test_file_io():
    temp = util.tempdir()
    file_path = temp.relpath("temp.log")

    tsk, target = get_sample_task()
    inputs = [MeasureInput(target, tsk, tsk.config_space.get(i)) for i in range(0, 10)]
    results = [MeasureResult((i, ), 0, 0, 0) for i in range(0, 10)]

    invalid_inp = MeasureInput(target, tsk, tsk.config_space.get(10))
    invalid_res = MeasureResult((10, ), 0, 0, 0)

    # Erase the entity map to test if it will be ignored when loading back.
    invalid_inp.config._entity_map = {}

    with open(file_path, "w") as fo:
        cb = autotvm.callback.log_to_file(fo)
        cb(None, inputs, results)
        cb(None, [invalid_inp], [invalid_res])

    ref = zip(inputs, results)
    for x, y in zip(ref, autotvm.record.load_from_file(file_path)):
        assert x[1] == y[1]


def test_apply_history_best():
    tsk, target = get_sample_task()

    records = [
        (MeasureInput(target, tsk, tsk.config_space.get(0)), MeasureResult((0.1,), 0, 2.3, 0)),
        (MeasureInput(target, tsk, tsk.config_space.get(1)), MeasureResult((0.3,), 0, 2.3, 0)),
        (MeasureInput(target, tsk, tsk.config_space.get(2)), MeasureResult((0.01,), 0, 2.3, 0)),
        (MeasureInput(target, tsk, tsk.config_space.get(4)), MeasureResult((0.4,), 0, 2.3, 0))
    ]
    hist_best = ApplyHistoryBest(records)
    x = hist_best.query(target, tsk.workload)
    assert str(x) == str(tsk.config_space.get(2))


if __name__ == "__main__":
    test_load_dump()
    test_apply_history_best()
    test_file_io()
