def __init__(self): # call BaseWorker's constructor to pull configurations # from the SIS api. This will tell our worker what databases # to look in, which feed key to use, etc super(ExampleWorker, self).__init__(WORKER_UUID, "staging") # this is the nGest feed key that was pulled from configuration self.feedKey = self.config['feed_key'] # initialize an NgestClient using the feed key. This will send data # to the SIS servers for us. self.nGestClient = NgestClient(self.feedKey)
class ExampleWorker(BaseWorker):
# this constructor initializes the ExampleWorker class
def __init__(self):
# call BaseWorker's constructor to pull configurations
# from the SIS api. This will tell our worker what databases
# to look in, which feed key to use, etc
super(ExampleWorker, self).__init__(WORKER_UUID, "staging")
# this is the nGest feed key that was pulled from configuration
self.feedKey = self.config['feed_key']
# initialize an NgestClient using the feed key. This will send data
# to the SIS servers for us.
self.nGestClient = NgestClient(self.feedKey)
# in this worker, we are going to get data from a simple text file not unlike
# the files Len's code has been generating. Each line of the file will
# contain a data point and a timestamp in ISO format separated by a comma
# e.g. 415.6,2015-06-15 21:15:00
def doWork(self):
# this field ID has to actually be created in the ndustrial.io system..
# it can be anything that is descriptive of the data it represents
field_id = "example_worker_field"
# Name of the file. It would be fairly easy to create an array of files from
# all the files in a folder, for example. But for now, just use one.
fileName = "test.txt"
# this NgestTimeSeriesDataObject will hold the data that we are going
# to send to SIS
nGestObject = NgestTimeSeriesDataObject(self.feedKey);
# open the file, and capture an object 'lines' that is a list of all the
# lines in the file.
with open(fileName) as f:
lines = f.readlines()
# Now loop through each line in the file, and add the data to
# nGest. Note that everything after the next statement that is
# similarly indented will be considered part of the loop.
for line in lines:
# spit the data. the resulting list will contain
# 2 entries.
data = line.split(',')
# this is the value, everything before the comma
value = data[0]
# this is the timestamp, everything after the comma
# this is still in string form, we will convert it
# to a datetime value
t = data[1]
print 'Sending ' + timestamp + ': ' + value;
# convert string representation of timestamp to datetime object
# the second argument tells python how to interperent the string
# %Y = year (2015, etc)
# %m = zero-padded month (04, 05, etc)
# %d = zero-padded day (12, 31, etc)
# %H = zero-padded hour, 24 hour clock (01, 22, etc)
# %M = zero-padded minute (03, 04, 05, etc)
# %S = zero-padded second (11, 12, 13, etc)
timestamp = strptime(t, "%Y-%m-%d %H:%M:%S")
# we now have everything we need to add the data to nGest!
nGestObject.addTimeValue(timestamp, field_id, data[0])
# loop to the next line in the file
# now that all values have been added to the NgestTimeSeriesDataObject,
# we can ask the nGestClient we set up in the __init__ method to send it for
# us.
self.nGestClient.sendData(nGestObject)