def test_getMultiple_descAsLabel(self):
tags = ["MDSSCSC1.ANVCALC.ADE1CA02", "MDSSCSC1.ANVCALC.ADE1CA03"]
start_time = "01/09/17 02:00:00"
end_time = "01/09/17 02:00:30"
df = dna.GetMultipleTags(tags, start_time, end_time,
desc_as_label=True)
good_columns = ["ADE1 Percent Load", "ADE1 Max EGT"]
test_columns = list(df.columns.values)
self.assertEqual(test_columns, good_columns)
def test_getMultiple_goodTags_resample(self):
tags = ["MDSSCSC1.ANVCALC.ADE1CA02", "MDSSCSC1.ANVCALC.ADE1CA03"]
start_time = "01/09/17 02:00:00"
end_time = "01/09/17 02:00:30"
df = dna.GetMultipleTags(tags, start_time, end_time, sampling_rate=5)
vals1 = np.array([74.3, 74.3, 71.3, 71.3, 70.7, 70.7, 72.2])
vals2 = np.array([420, 420, 419, 419, 413, 413, 415])
test_val1 = df["MDSSCSC1.ANVCALC.ADE1CA02"].values
test_val2 = df["MDSSCSC1.ANVCALC.ADE1CA03"].values
self.assertEqual(vals1.all(), test_val1.all())
self.assertEqual(vals2.all(), test_val2.all())
def test_getMultiple_allBadTags(self):
tags = ["GIBBERISH.DOESNOT1.EXIST123", "GIBBERISH.DOESNOT1.EXIST125"]
start_time = "01/02/17 01:58"
end_time = "01/02/17 02:00"
df = dna.GetMultipleTags(tags, start_time, end_time)
self.assertTrue(df.empty)
def test_getMultiple_oneBadTag(self):
tags = ["GIBBERISH.DOESNOT1.EXIST123", "MDSSCSC1.ANVCALC.ADE1CA02"]
start_time = "01/02/17 01:58"
end_time = "01/02/17 02:00"
df = dna.GetMultipleTags(tags, start_time, end_time)
self.assertFalse(df.empty)
# The following code will pull snap data from TESTPNT1 over a 30-second interval:
tag = "TESTSITE.TESTSERVICE.TESTPNT1" # format site.service.tag
start = "12/01/16 01:01:01" # format mm/dd/yy hh:mm:ss
end = "01/03/17 01:01:01" # format mm/dd/yy hh:mm:ss
period = "00:00:30" # format hh:mm:ss
df = dna.GetHist(tag, start, end, period=period, mode="snap")
# Raw data may be obtained from TESTPNT1 using:
df2 = dna.GetHist(tag, start, end)
# Other supported pull types include Average, Interpolated, Max, and Min. Please
# refer to eDNA documentation for more description about these pull types.
# Multiple tags can be pulled (in Raw mode) at the same time using:
tags = [
"TESTSITE.TESTSERVICE.TESTPNT1", "TESTSITE.TESTSERVICE.TESTPNT2",
"TESTSITE.TESTSERVICE.TESTPNT3", "TESTSITE.TESTSERVICE.TESTPNT4"
]
df3 = dna.GetMultipleTags(tags, start, end)
# A list of connected services may be obtained using GetServices:
services = dna.GetServices()
# A list of point information for a given service can be found using GetPoints:
points = dna.GetPoints("TESTSITE.TESTSERVICE")