def test_getHistHS_goodTag(self):
tag_name = "MDSSCSC1.ANVDD.ADE1C1PA"
start_time = "01/23/17"
end_time = "01/24/17"
df = dna.GetHist(tag_name, start_time, end_time, high_speed=True)
good_val = np.array([0, 0, 1, -1, 1, 721])
test_val = df["MDSSCSC1.ANVDD.ADE1C1PA"].values[0:6]
self.assertEqual(good_val.all(), test_val.all())
def test_getHist_label(self):
tag_name = "MDSSCSC1.ANVCALC.ADE1CA02"
start_time = "01/09/17 02:00:00"
end_time = "01/09/17 02:00:30"
df = dna.GetHist(tag_name, start_time, end_time, label="NEW")
good_val = ['NEW', 'NEW Status']
test_val = list(df.columns.values)
self.assertEqual(good_val, test_val)
def test_getHist_descAsLabel(self):
tag_name = "MDSSCSC1.ANVCALC.ADE1CA02"
start_time = "01/09/17 02:00:00"
end_time = "01/09/17 02:00:30"
df = dna.GetHist(tag_name, start_time, end_time, desc_as_label=True)
good_val = ['ADE1 Percent Load', 'ADE1 Percent Load Status']
test_val = list(df.columns.values)
self.assertEqual(good_val, test_val)
def test_getHist_goodTag(self):
tag_name = "MDSSCSC1.ANVCALC.ADE1CA02"
start_time = "01/09/17 02:00:00"
end_time = "01/09/17 02:00:30"
exp_val = np.array([74.3, 71.3, 70.7, 72.2, 72.2])
df = dna.GetHist(tag_name, start_time, end_time)
test_val = df["MDSSCSC1.ANVCALC.ADE1CA02"].values
self.assertEqual(exp_val.all(), test_val.all())
def test_getHist_badTag(self):
tag_name = "GIBBERISH.DOESNOT1.EXIST123"
start_time = "01/02/17 01:58"
end_time = "01/02/17 02:00"
df = dna.GetHist(tag_name, start_time, end_time)
self.assertTrue(df.empty)
# -*- coding: utf-8 -*-
import pandas as pd
import pyedna.ezdna as dna
# 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()