Added status interface updated testcases

src/api/index.py

@@ -189,14 +189,33 @@ def learn():
 	return json.dumps(r)
 		
 
-
+"""
+	This function returns anomalies for a given context or group of processes
+	The information returned is around precision/recall and f-score and parameters
+"""
 @app.route('/anomalies/status')
 def anomalies_status():
-	pass
+	global CONFIG
+	p = CONFIG['store']['args']
+	class_read = CONFIG['store']['class']['read']	
+	gReader = factory.instance(type=class_read,args=p)
+	d =  gReader.read()
+	if 'learn' in d :
+		info = d['learn']
+		
+		del d['learn']
+	else :
+		info = []
+	print info
+	r = []
+	if 'id' in request.args:
+		id = request.args['id']
+		r = info
+	return json.dumps(r)
 
 if __name__== '__main__':
 	
-	ThreadManager.start(CONFIG)	
+#	ThreadManager.start(CONFIG)	
 	app.run(host='0.0.0.0',debug=True,threaded=True)
 
 	

test/TestML.py

@@ -30,14 +30,17 @@ class TestML(unittest.TestCase):
 		#
 		app = CONFIG['monitor']['processes']['config']['apps'][0]
 		x = ML.Filter('label',app,r)
-		for row in x:
+		app = ML.CleanupName(app)
+		for row in x:			
 			self.assertTrue(row['label'] == app)
 	def test_Extract(self):
 		r = self.greader.read()
 		r = r['apps']
 		app = CONFIG['monitor']['processes']['config']['apps'][0]
 		x = ML.Filter('label',app,r)
-		x_ = ML.Extract(['cpu_usage','memory_usage'], x)
+		features =  CONFIG['learner']['anomalies']['features']
+		self.assertTrue(features)
+		x_ = ML.Extract(features, x)
 		
 		self.assertTrue (len (x) == len(x_))
 		pass
@@ -49,9 +52,11 @@ class TestML(unittest.TestCase):
 		data = greader.read()
 		
 		data = data['apps']
-		app = CONFIG['monitor']['processes']['config']['apps'][1]
+		app = CONFIG['monitor']['processes']['config']['apps'][0]
 		lhandler = AnomalyDetection()
 		features = CONFIG['learner']['anomalies']['features']
+		print features
+		print app
 		label	= CONFIG['learner']['anomalies']['label']
 		x = lhandler.learn(data,'label',app,features,label)
 		print x