# coding: utf-8

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import math
from math import sqrt
from ptl.utils.pbs_testsuite import *
import statistics


class TestPerformance(PBSTestSuite):
    """
    Base test suite for Performance tests
    """

    def check_value(self, res):
        if isinstance(res, list):
            for val in res:
                if not isinstance(val, (int, float)):
                    raise self.failureException(
                        "Test result list must be int or float")
        else:
            if not isinstance(res, (int, float)):
                raise self.failureException("Test result must be int or float")

    def perf_test_result(self, result, test_measure, unit):
        """
        Add test results to json file. If a multiple trial values are passed
        calculate mean,std_dev,min,max for the list.
        """
        self.check_value(result)

        if isinstance(result, list) and len(result) > 1:
            mean_res = statistics.mean(result)
            stddev_res = statistics.stdev(result)
            lowv = mean_res - (stddev_res * 2)
            uppv = mean_res + (stddev_res * 2)
            new_result = [x for x in result if x > lowv and x < uppv]
            if len(new_result) == 0:
                new_result = result
            max_res = round(max(new_result), 2)
            min_res = round(min(new_result), 2)
            mean_res = statistics.mean(new_result)
            mean_res = round(mean_res, 2)
            trial_no = 1
            trial_data = []
            for trial_result in result:
                trial_result = round(trial_result, 2)
                trial_data.append(
                    {"trial_no": trial_no, "value": trial_result})
                trial_no += 1
            test_data = {"test_measure": test_measure,
                         "unit": unit,
                         "test_data": {"mean": mean_res,
                                       "std_dev": stddev_res,
                                       "minimum": min_res,
                                       "maximum": max_res,
                                       "trials": trial_data,
                                       "samples_considered": len(new_result),
                                       "total_samples": len(result)}}
            return self.set_test_measurements(test_data)
        else:
            variance = 0
            if isinstance(result, list):
                result = result[0]
            if isinstance(result, float):
                result = round(result, 2)
            testdic = {"test_measure": test_measure, "unit": unit,
                       "test_data": {"mean": result,
                                     "std_dev": variance,
                                     "minimum": result,
                                     "maximum": result}}
            return self.set_test_measurements(testdic)

    pass