def test_parsing(self):
builder = NodeFactory.detector("test_id", "SimpleThreshold")
builder.set_param_value("inside", False)
builder.set_param_value("strict", False)
builder.set_param_value("lower", 1)
builder.set_param_value("upper", None)
threshold = builder.build()
self.assertEqual(str(threshold),
"SimpleThreshold(1,None,False,False)[test_id]")
obj = {
"id":
"test_id",
"group":
"detector",
"type":
"SimpleThreshold",
"params": [
{
"id": "lower",
"value": 1
},
{
"id": "inside",
"value": False
},
{
"id": "strict",
"value": False
},
],
}
th_from_json = NodeFactory.from_json(obj)
self.assertEqual(str(threshold), str(th_from_json))
def test_analysis_histogram_heatmap(self):
self.maxDiff = None
series = Series.from_array([
[1628294400, 0],
[1628337600, 0],
[1628380800, 1],
[1628424000, 1],
[1628467200, 1],
[1628510400, 0],
[1628553600, 0],
[1628596800, 0],
])
factory = NodeFactory.detector('test_node', 'SimpleThreshold')
factory.set_param_value('inside', False)
factory.set_param_value('strict', False)
factory.set_param_value('lower', None)
factory.set_param_value('upper', 1)
factory.add_source(InputRef('input'))
node = factory.build()
pipeline = Pipeline([node])
analyzer = Analyzer(pipeline=pipeline, debug=True)
analysis = analyzer.analyze({'input': series})
actual_output = analysis.output_format()
expected_file = os.path.join(os.path.dirname(__file__), 'resources/analysis/expected_histogram_heatmap.json')
# Uncomment to fix test
# print(json.dumps(actual_output, indent=2), file=open(expected_file, 'w'))
expected_output = json.loads(Path(expected_file).read_text())
self.assertEqual(expected_output, actual_output)
def prepare_factory(self):
factory = NodeFactory.detector('test', 'Quantile')
factory.add_source(InputRef('input'))
return factory
def prepare_factory(self):
factory = NodeFactory.detector('test', 'SimpleThreshold')
factory.add_source(InputRef('input'))
return factory