import {describe, ddescribe, it, iit, xit, expect, beforeEach, afterEach} from 'angular2/test_lib';
import {Date, DateWrapper} from 'angular2/src/facade/lang';
import {ListWrapper} from 'angular2/src/facade/collection';

import {
  Validator,
  RegressionSlopeValidator,
  Injector,
  bind,
  MeasureValues
} from 'benchpress/common';

export function main() {
  describe('regression slope validator', () => {
    var validator;

    function createValidator({size, metric}) {
      validator = Injector.resolveAndCreate([
                            RegressionSlopeValidator.BINDINGS,
                            bind(RegressionSlopeValidator.METRIC).toValue(metric),
                            bind(RegressionSlopeValidator.SAMPLE_SIZE).toValue(size)
                          ])
                      .get(RegressionSlopeValidator);
    }

    it('should return sampleSize and metric as description', () => {
      createValidator({size: 2, metric: 'script'});
      expect(validator.describe()).toEqual({'sampleSize': 2, 'regressionSlopeMetric': 'script'});
    });

    it('should return null while the completeSample is smaller than the given size', () => {
      createValidator({size: 2, metric: 'script'});
      expect(validator.validate([])).toBe(null);
      expect(validator.validate([mv(0, 0, {})])).toBe(null);
    });

    it('should return null while the regression slope is < 0', () => {
      createValidator({size: 2, metric: 'script'});
      expect(validator.validate([mv(0, 0, {'script': 2}), mv(1, 1, {'script': 1})])).toBe(null);
    });

    it('should return the last sampleSize runs when the regression slope is ==0', () => {
      createValidator({size: 2, metric: 'script'});
      var sample = [mv(0, 0, {'script': 1}), mv(1, 1, {'script': 1}), mv(2, 2, {'script': 1})];
      expect(validator.validate(ListWrapper.slice(sample, 0, 2)))
          .toEqual(ListWrapper.slice(sample, 0, 2));
      expect(validator.validate(sample)).toEqual(ListWrapper.slice(sample, 1, 3));
    });

    it('should return the last sampleSize runs when the regression slope is >0', () => {
      createValidator({size: 2, metric: 'script'});
      var sample = [mv(0, 0, {'script': 1}), mv(1, 1, {'script': 2}), mv(2, 2, {'script': 3})];
      expect(validator.validate(ListWrapper.slice(sample, 0, 2)))
          .toEqual(ListWrapper.slice(sample, 0, 2));
      expect(validator.validate(sample)).toEqual(ListWrapper.slice(sample, 1, 3));
    });

  });
}

function mv(runIndex, time, values) {
  return new MeasureValues(runIndex, DateWrapper.fromMillis(time), values);
}