Пример #1
0
def test_generate_event_if_over_threshold():
    monitor = Monitor(triggers={'test_event': 0.5}, notification_delay=0)

    # Set up test conditions
    now = datetime.utcnow()
    image = load_image()
    generated_events = []

    def event_received(sender, **data):
        generated_events.append(data)

    trigger_event.connect(event_received)

    image_analysis.send('test',
                        source="test_source",
                        timestamp=now,
                        image=image,
                        predictions=[('test_event', 0.99)])

    # Verify result
    expected = dict(timestamp=now,
                    source="test_source",
                    image=image,
                    prediction='test_event',
                    probability=0.99)

    assert len(generated_events) is 1
    assert generated_events[0] == expected
Пример #2
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def test_return_images_if_less_than_length():
    image_buffer_instance = ImageBuffer(buffer_length=4)

    # Set up test conditions
    now = datetime.utcnow()
    test_image = load_image()

    image.send('test', source="test_source", timestamp=now, image=test_image)

    result = get_image_buffer()

    # Verify result
    assert len(result) is 1
    assert result[0] == test_image
Пример #3
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def test_generate_event_once_active_cleared():
    monitor = Monitor(triggers={'test_event': 0.5}, notification_delay=0)

    # Set up test conditions
    now = datetime.utcnow()
    image = load_image()
    generated_events = []

    def event_received(sender, **data):
        generated_events.append(data)

    trigger_event.connect(event_received)

    # Trigger initial
    image_analysis.send('test',
                        source="test_source",
                        timestamp=now,
                        image=image,
                        predictions=[('test_event', 0.99)])

    # Clear the first alarm.
    image_analysis.send('test',
                        source="test_source",
                        timestamp=now + timedelta(seconds=1),
                        image=image,
                        predictions=[('test_event', 0.4)])

    # Send the third event
    image_analysis.send('test',
                        source="test_source",
                        timestamp=now + timedelta(seconds=2),
                        image=image,
                        predictions=[('test_event', 0.99)])

    # Verify result
    expected_first = dict(source="test_source",
                          timestamp=now,
                          image=image,
                          prediction='test_event',
                          probability=0.99)
    expected_second = dict(source="test_source",
                           timestamp=now + timedelta(seconds=2),
                           image=image,
                           prediction='test_event',
                           probability=0.99)

    assert len(generated_events) is 2
    assert generated_events[0] == expected_first
    assert generated_events[1] == expected_second
Пример #4
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def test_return_buffer_length_images():
    buffer_length = 4
    image_buffer_instance = ImageBuffer(buffer_length=buffer_length)

    # Set up test conditions
    now = datetime.utcnow()

    test_images = []
    for i in xrange(0, buffer_length + 1):
        test_image = load_image()
        test_images.append(test_image)
        image.send('test',
                   source="test_source",
                   timestamp=now + timedelta(seconds=i),
                   image=test_image)

    result = get_image_buffer()

    # Verify result
    assert len(result) is buffer_length

    offset = len(test_images) - buffer_length
    for i in xrange(0, len(result)):
        assert result[i] == test_images[i + offset]