#
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import pytest
from unittest import mock

import os
import tempfile
import pickle
from importlib.machinery import SourceFileLoader
import pandas as pd
import numpy as np
from pymeasure.experiment.results import Results, CSVFormatter
from pymeasure.experiment.procedure import Procedure, Parameter
from pymeasure.experiment import BooleanParameter

# Load the procedure, without it being in a module
#data_path = os.path.join(os.path.dirname(__file__), 'data/procedure_for_testing.py')
#RandomProcedure = SourceFileLoader('procedure', data_path).load_module().RandomProcedure
from data.procedure_for_testing import RandomProcedure


def test_procedure():
    """ Ensure that the loaded test procedure is properly functioning
    """
    p = RandomProcedure()
    assert p.iterations == 100
    assert hasattr(p, 'execute')


def test_csv_formatter_format_header():
    """Tests CSVFormatter.format_header() method."""
    columns = ['t', 'x', 'y', 'z', 'V']
    formatter = CSVFormatter(columns=columns)
    assert formatter.format_header() == 't,x,y,z,V'


def test_csv_formatter_format():
    """Tests CSVFormatter.format() method."""
    columns = ['t', 'x', 'y', 'z', 'V']
    formatter = CSVFormatter(columns=columns)
    data = {'t': 1, 'y': 2, 'z': 3.0, 'x': -1, 'V': 'abc'}
    assert formatter.format(data) == '1,-1,2,3.0,abc'


def test_procedure_wrapper():
    assert RandomProcedure.iterations.value == 100
    procedure = RandomProcedure()
    procedure.iterations = 101
    file = tempfile.mktemp()
    results = Results(procedure, file)

    new_results = pickle.loads(pickle.dumps(results))
    assert hasattr(new_results, 'procedure')
    assert new_results.procedure.iterations == 101
    assert RandomProcedure.iterations.value == 100


class TestResults:
    # TODO: add a full set of Results tests

    @mock.patch('pymeasure.experiment.results.open', mock.mock_open(), create=True)
    @mock.patch('os.path.exists', return_value=True)
    @mock.patch('pymeasure.experiment.results.pd.read_csv')
    def test_regression_attr_data_when_up_to_date_should_retain_dtype(self,
            read_csv_mock, path_exists_mock):
        procedure_mock = mock.MagicMock(spec=Procedure)
        result = Results(procedure_mock, 'test.csv')

        read_csv_mock.return_value = [pd.DataFrame(data={
                'A': [1,2,3,4,5,6,7],
                'B': [2,3,4,5,6,7,8]
            })]
        first_data = result.data

        # if no updates, read_csv returns a zero-row dataframe
        read_csv_mock.return_value = [pd.DataFrame(data={
            'A': [], 'B': []
            }, dtype=object)]
        second_data = result.data

        assert second_data.iloc[:,0].dtype is not object
        assert first_data.iloc[:,0].dtype is second_data.iloc[:,0].dtype
        
    def test_regression_param_str_should_not_include_newlines(self, tmpdir):
        class DummyProcedure(Procedure):
            par = Parameter('Generic Parameter with newline chars')           
            DATA_COLUMNS = ['Foo', 'Bar', 'Baz'] 
        procedure = DummyProcedure()
        procedure.par = np.linspace(1,100,17)
        filename = os.path.join(str(tmpdir), 'header_linebreak_test.csv')
        result = Results(procedure, filename)
        result.reload() # assert no error
        pd.read_csv(filename, comment="#") # assert no error
        assert (result.parameters['par'].value == np.linspace(1,100,17)).all()


def test_parameter_reading():
    data_path = os.path.join(os.path.dirname(__file__), "data/results_for_testing_parameters.csv")
    test_string = "/test directory with space/test_filename.csv"
    iterations = 101
    delay = 0.0005
    seed = '54321'

    class DummyProcedure(RandomProcedure):
        check_false = BooleanParameter('checkbox False')
        check_true = BooleanParameter('checkbox True')
        check_dir = Parameter('Directory string')

    results = Results.load(data_path, procedure_class=DummyProcedure)

    # Check if all parameters are correctly read from file
    assert results.parameters["iterations"].value == iterations
    assert results.parameters["delay"].value == delay
    assert results.parameters["seed"].value == seed

    assert results.parameters["check_true"].value == True
    assert results.parameters["check_false"].value == False
    assert results.parameters["check_dir"].value == test_string