def test_global_stats_aggregator():
    with moto.mock_s3_deprecated():
        s3_conn = boto.connect_s3()
        aggregator = GlobalStatsAggregator(s3_conn=s3_conn)

        add_s3_content(
            s3_conn, {
                'test-bucket/stats/dataset_summaries/CB.json':
                json.dumps(sample_dataset_stats()),
                'test-bucket/stats/dataset_summaries/VA.json':
                json.dumps(sample_dataset_stats()),
            })

        with freeze_time('2017-01-10'):
            aggregator.run('test-bucket/stats')

        expected_stats = {
            'total': 8,
            'output_counts': {
                'title': 8,
                'description': 4
            },
            'output_percentages': {
                'title': 1.0,
                'description': 0.5
            },
            'last_updated': '2017-01-10T00:00:00',
        }
        key = s3_conn.get_bucket('test-bucket').get_key('stats/summary.json')
        assert json.loads(
            key.get_contents_as_string().decode('utf-8')) == expected_stats
def test_dataset_stats_counter():
    counter = DatasetStatsCounter(quarter='2014Q1', dataset_id='VA')
    counter.track(input_document={
        'jobtitle': 'test',
        'jobdesc': 'test'
    },
                  output_document={
                      'title': 'test',
                      'description': 'test'
                  })
    counter.track(input_document={
        'jobtitle': 'test',
        'jobdesc': '',
        'extra': 'test'
    },
                  output_document={
                      'title': 'test',
                      'description': ''
                  })
    assert counter.stats['total'] == 2
    assert counter.stats['output_counts']['title'] == 2
    assert counter.stats['output_counts']['description'] == 1
    assert counter.stats['input_counts']['jobtitle'] == 2
    assert counter.stats['input_counts']['jobdesc'] == 1
    assert counter.stats['input_counts']['extra'] == 1

    with moto.mock_s3_deprecated():
        with freeze_time('2017-01-10'):
            s3_conn = boto.connect_s3()
            s3_conn.create_bucket('test-bucket')
            counter.save(s3_conn, 'test-bucket/stats')

            key = s3_conn.get_bucket('test-bucket')\
                .get_key('stats/quarterly/VA_2014Q1')

        expected_stats = {
            'total': 2,
            'output_counts': {
                'title': 2,
                'description': 1
            },
            'input_counts': {
                'jobtitle': 2,
                'jobdesc': 1,
                'extra': 1
            },
            'output_percentages': {
                'title': 1.0,
                'description': 0.5
            },
            'input_percentages': {
                'jobtitle': 1.0,
                'jobdesc': 0.5,
                'extra': 0.5
            },
            'last_updated': '2017-01-10T00:00:00',
            'quarter': '2014Q1',
        }
        assert json.loads(
            key.get_contents_as_string().decode('utf-8')) == expected_stats
    def setUp(self):
        mock_s3 = moto.mock_s3_deprecated()
        mock_s3.start()
        self.addCleanup(mock_s3.stop)

        self.s3 = boto.connect_s3()
        self.s3.create_bucket('test_s3_bucket')
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    def test_s3_save(self):
        with mock_s3_deprecated():
            s3_conn = boto.connect_s3()
            bucket_name = 'fake-matrix-bucket'
            bucket = s3_conn.create_bucket(bucket_name)

            matrix_store_list = self.matrix_store()

            for matrix_store in matrix_store_list:
                matrix_store.save(project_path='s3://fake-matrix-bucket',
                                  name='test')

            # HDF
            hdf = HDFMatrixStore(
                matrix_path='s3://fake-matrix-bucket/test.h5',
                metadata_path='s3://fake-matrix-bucket/test.yaml')
            # CSV
            csv = CSVMatrixStore(
                matrix_path='s3://fake-matrix-bucket/test.csv',
                metadata_path='s3://fake-matrix-bucket/test.yaml')

            assert csv.metadata == matrix_store_list[0].metadata
            assert csv.matrix.to_dict() == matrix_store_list[0].matrix.to_dict(
            )
            assert hdf.metadata == matrix_store_list[0].metadata
            assert hdf.matrix.to_dict() == matrix_store_list[0].matrix.to_dict(
            )
def test_partner_list():
    with moto.mock_s3_deprecated():
        s3_conn = boto.connect_s3()
        s3_conn.create_bucket('stats-bucket')
        bucket = s3_conn.get_bucket('stats-bucket')
        upload_partner_rollup(bucket, 'XX', 45)
        upload_partner_rollup(bucket, 'YY', 55)
        upload_partner_rollup(bucket, 'ZZ', 0)
        assert DatasetStatsAggregator.partners(
            s3_conn, config['partner_stats']['s3_path']) == ['XX', 'YY']
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    def setUp(self):
        from moto import mock_s3_deprecated
        self.mock_s3 = mock_s3_deprecated()
        self.mock_s3.start()

        # Make our fake bucket
        self.s3 = boto.connect_s3(self.aws_creds.access_id,
                                  self.aws_creds.secret_key,
                                  calling_format=OrdinaryCallingFormat())
        self.s3.create_bucket(self.old_style_bucket_id)
        self.s3.create_bucket(DOWNLOAD_SITE_BUCKET)
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def s3_conn(request):
    mock = mock_s3_deprecated()
    mock.start()
    conn = boto.connect_s3()

    def tear_down():
        mock.stop()

    request.addfinalizer(tear_down)

    return conn
    def test_template_image_image_url_s3(self):
        """Meta image links should work if using S3 storage."""
        mock_s3 = moto.mock_s3_deprecated()
        mock_s3.start()

        s3 = boto.connect_s3()
        s3.create_bucket('test_s3_bucket')

        try:
            # There should be no root required as the image rendition URL
            # should generate a fully qualified S3 path.
            self.check_template_meta_image_url(expected_root='')
        finally:
            mock_s3.stop()
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    def setUp(self):
        video_proto = VideoProto()
        video_proto.veda_id = 'XXXXXXXX2014-V00TEST'
        self.upload_filepath = os.path.join(
            os.path.dirname(os.path.abspath(__file__)), 'test_files',
            'OVTESTFILE_01.mp4')

        with patch.object(Hotstore, '_READ_AUTH',
                          PropertyMock(return_value=lambda: CONFIG_DATA)):
            self.hotstore = Hotstore(video_object=video_proto,
                                     upload_filepath=self.upload_filepath,
                                     video_proto=video_proto)

        # do s3 mocking
        mock = mock_s3_deprecated()
        mock.start()
        conn = S3Connection()
        conn.create_bucket(CONFIG_DATA['veda_s3_hotstore_bucket'])
        self.addCleanup(mock.stop)
def test_quarterly_posting_stats():
    with moto.mock_s3_deprecated():
        s3_conn = boto.connect_s3()
        s3_conn.create_bucket('stats-bucket')
        bucket = s3_conn.get_bucket('stats-bucket')
        upload_quarterly_dataset_counts(bucket, 'XX', '2014Q1', 5)
        upload_quarterly_dataset_counts(bucket, 'XX', '2014Q2', 6)
        upload_quarterly_dataset_counts(bucket, 'XX', '2014Q3', 7)
        upload_quarterly_dataset_counts(bucket, 'XX', '2014Q4', 8)
        upload_quarterly_dataset_counts(bucket, 'ZZ', '2014Q1', 10)
        upload_quarterly_dataset_counts(bucket, 'ZZ', '2014Q2', 9)
        upload_quarterly_dataset_counts(bucket, 'ZZ', '2014Q3', 8)
        upload_quarterly_dataset_counts(bucket, 'ZZ', '2014Q4', 10)
        assert DatasetStatsCounter.quarterly_posting_stats(
            s3_conn, config['partner_stats']['s3_path']) == {
                '2014Q1': 15,
                '2014Q2': 15,
                '2014Q3': 15,
                '2014Q4': 18
            }
def test_dataset_stats_counter_empty():
    counter = DatasetStatsCounter(quarter='2013Q1', dataset_id='VA')
    with moto.mock_s3_deprecated():
        with freeze_time('2017-01-10'):
            s3_conn = boto.connect_s3()
            s3_conn.create_bucket('test-bucket')
            counter.save(s3_conn, 'test-bucket/stats')

            key = s3_conn.get_bucket('test-bucket')\
                .get_key('stats/quarterly/VA_2013Q1')

        expected_stats = {
            'total': 0,
            'output_counts': {},
            'input_counts': {},
            'output_percentages': {},
            'input_percentages': {},
            'last_updated': '2017-01-10T00:00:00',
            'quarter': '2013Q1',
        }
        assert json.loads(
            key.get_contents_as_string().decode('utf-8')) == expected_stats
def test_total_job_postings():
    with moto.mock_s3_deprecated():
        s3_conn = boto.connect_s3()
        s3_conn.create_bucket('stats-bucket')
        bucket = s3_conn.get_bucket('stats-bucket')
        key = boto.s3.key.Key(bucket=bucket, name='partner-etl/summary.json')
        key.set_contents_from_string(
            json.dumps({
                'total': 8,
                'output_counts': {
                    'title': 8,
                    'description': 4
                },
                'output_percentages': {
                    'title': 1.0,
                    'description': 0.5
                },
                'last_updated': '2017-01-10T00:00:00',
            }))

        assert GlobalStatsAggregator(s3_conn)\
            .saved_total(config['partner_stats']['s3_path']) == 8
def test_dataset_stats_aggregator():
    with moto.mock_s3_deprecated():
        s3_conn = boto.connect_s3()
        aggregator = DatasetStatsAggregator(dataset_id='CB', s3_conn=s3_conn)

        add_s3_content(
            s3_conn, {
                'test-bucket/stats/quarterly/CB_2014Q1':
                json.dumps(sample_quarter_stats('2014Q1')),
                'test-bucket/stats/quarterly/CB_2014Q2':
                json.dumps(sample_quarter_stats('2014Q2')),
                'test-bucket/stats/quarterly/VA_2014Q1':
                json.dumps(sample_quarter_stats('2014Q1')),
            })

        with freeze_time('2017-01-10'):
            aggregator.run('test-bucket/stats')

        expected_stats = sample_dataset_stats()
        key = s3_conn.get_bucket('test-bucket')\
            .get_key('stats/dataset_summaries/CB.json')
        assert json.loads(
            key.get_contents_as_string().decode('utf-8')) == expected_stats
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def test_field_value_counter():
    counter = FieldValueCounter(quarter='2014Q1',
                                field_values=['jobtitle', 'jobdesc'])
    counter.track(input_document={'jobtitle': 'test', 'jobdesc': 'test'}, )
    counter.track(input_document={
        'jobtitle': 'test',
        'jobdesc': '',
        'extra': 'test'
    }, )
    assert counter.accumulator['jobtitle']['test'] == 2
    assert counter.accumulator['jobdesc']['test'] == 1
    assert counter.accumulator['jobdesc'][''] == 1

    with moto.mock_s3_deprecated():
        s3_conn = boto.connect_s3()
        s3_conn.create_bucket('test-bucket')
        counter.save(s3_conn, 'test-bucket/stats')

        key = s3_conn.get_bucket('test-bucket')\
            .get_key('stats/field_values/2014Q1/jobtitle.csv')
        expected_count = 'test,2'
        assert key.get_contents_as_string().decode(
            'utf-8').rstrip() == expected_count
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 def setUp(self):
     super(MockS3Mixin, self).setUp()
     self._mock_s3 = moto.mock_s3_deprecated()
     self._mock_s3.start()