def setUp(self):
# Variables values
_dict = {
'x': 4,
'y': 5,
'metric_687a68bb895125cb02f768473985569f': 120004608.0,
'metric_f64a796c2e49d9ac3ba8cd1cdf350795': 3212440371.0,
'metric_02bc472f705c074b4156850e1b5adcf4': 90193784012.0
}
self.formula = Formulas(_dict)
def metric_raw(self, results, formula):
#nmetric = results[1]
metrics, _ = results
# Build points dictionnary
points = {}
length = False
for m in metrics:
cid = m['meta']['data_id']
mid = 'metric_' + hashlib.md5(cid).hexdigest()
mname = self.retreive_metric_name(cid)
# Replace metric name in formula by the unique id
formula = formula.replace(mname, mid)
self.logger.debug("Metric {0} - {1}".format(mname, mid))
points[mid] = m['points']
# Make sure we treat the same amount of points by selecting
# The metric with less points.
if not length or len(m['points']) < length:
length = len(m['points'])
self.logger.debug('formula: {}'.format(formula))
#self.logger.debug('points: {}'.format(points))
mids = points.keys()
finalSerie = []
# Now loop over all points to calculate the final serie
for i in range(length):
data = {}
ts = 0
for j in range(len(mids)):
mid = mids[j]
# Get point value at timestamp "i" for metric "mid"
data[mid] = points[mid][i][1]
# Set timestamp
ts = points[mid][i][0]
# import data in math context
math = Formulas(data)
# Evaluate the mathematic formula
pointval = math.evaluate(formula)
# Add computed point in the serie
finalSerie.append([ts * 1000, pointval])
# Remove variables values from math context
math.reset()
self.logger.debug('finalserie: {}'.format(finalSerie))
return finalSerie, points[mid]
def setUp(self):
# Variables values
_dict = {
"x": 4,
"y": 5,
"metric_687a68bb895125cb02f768473985569f": 120004608.0,
"metric_f64a796c2e49d9ac3ba8cd1cdf350795": 3212440371.0,
"metric_02bc472f705c074b4156850e1b5adcf4": 90193784012.0,
}
self.formula = Formulas(_dict)
def setUp(self):
# Variables values
_dict = {
'x': 4,
'y': 5,
'metric_687a68bb895125cb02f768473985569f': 120004608.0,
'metric_f64a796c2e49d9ac3ba8cd1cdf350795': 3212440371.0,
'metric_02bc472f705c074b4156850e1b5adcf4': 90193784012.0
}
self.formula = Formulas(_dict)
class FormulasTest(TestCase):
"""docstring for FormulasTest"""
def setUp(self):
# Variables values
_dict = {
'x': 4,
'y': 5,
'metric_687a68bb895125cb02f768473985569f': 120004608.0,
'metric_f64a796c2e49d9ac3ba8cd1cdf350795': 3212440371.0,
'metric_02bc472f705c074b4156850e1b5adcf4': 90193784012.0
}
self.formula = Formulas(_dict)
def test(self):
'''abs'''
expressions = {
"x^2 + 9*x + 5": 4**2 + 9*4 + 5,
"x^y": 4**5,
"x^y + x + 2*y": 4**5 + 4 + 2*5,
"-9": -9,
"-E": -math.e,
"9 + 3 + 6": 18,
"2*3.14159": 2*3.14159,
"PI * PI / 10": math.pi * math.pi / 10,
"PI^2": math.pi**2,
"E^PI": math.e**math.pi,
"2^3^2": 2**3**2,
"sgn(-2)": -1,
"sin(PI/2)": math.sin(math.pi/2),
"trunc(E)": int(math.e),
"round(E)": round(math.e),
"(x + y + 1)/3": float(10)/float(3),
"( metric_02bc472f705c074b4156850e1b5adcf4+ metric_687a68bb895125cb02f768473985569f+ metric_f64a796c2e49d9ac3ba8cd1cdf350795)/3": 31175409663.666668, # NOQA
"MIN(2, 5, y, x)": 2,
"MAX(2, 8, 45)": 45,
"sum(7, 13.56, 0.04)": 20.60
}
for k, v in expressions.iteritems():
self.assertEqual(self.formula.evaluate(k), v)
class FormulasTest(TestCase):
"""docstring for FormulasTest"""
def setUp(self):
# Variables values
_dict = {
'x': 4,
'y': 5,
'metric_687a68bb895125cb02f768473985569f': 120004608.0,
'metric_f64a796c2e49d9ac3ba8cd1cdf350795': 3212440371.0,
'metric_02bc472f705c074b4156850e1b5adcf4': 90193784012.0
}
self.formula = Formulas(_dict)
def test(self):
'''abs'''
expressions = {
"x^2 + 9*x + 5":
4**2 + 9 * 4 + 5,
"x^y":
4**5,
"x^y + x + 2*y":
4**5 + 4 + 2 * 5,
"-9":
-9,
"-E":
-math.e,
"9 + 3 + 6":
18,
"2*3.14159":
2 * 3.14159,
"PI * PI / 10":
math.pi * math.pi / 10,
"PI^2":
math.pi**2,
"E^PI":
math.e**math.pi,
"2^3^2":
2**3**2,
"sgn(-2)":
-1,
"sin(PI/2)":
math.sin(math.pi / 2),
"trunc(E)":
int(math.e),
"round(E)":
round(math.e),
"(x + y + 1)/3":
float(10) / float(3),
"( metric_02bc472f705c074b4156850e1b5adcf4+ metric_687a68bb895125cb02f768473985569f+ metric_f64a796c2e49d9ac3ba8cd1cdf350795)/3":
31175409663.666668, # NOQA
"MIN(2, 5, y, x)":
2,
"MAX(2, 8, 45)":
45,
"sum(7, 13.56, 0.04)":
20.60
}
for k, v in expressions.iteritems():
self.assertEqual(self.formula.evaluate(k), v)
