def __init__(self,user_device_set,user_timestamps):
self.fc = DataFileCreator(user_device_set, user_timestamps)
print("Created %s with %s lines of data\n",(self.fc.getFileName(),self.fc.getNLines()))
self.fc.cleanUp()
class DataRequestHandler:
#prefix user_ denotes unsanitized string from user
def __init__(self,user_device_set,user_timestamps):
self.fc = DataFileCreator(user_device_set, user_timestamps)
print("Created %s with %s lines of data\n",(self.fc.getFileName(),self.fc.getNLines()))
self.fc.cleanUp()
def makeDataPreview(self):
data_filename = self.fc.getFilePath()+self.fc.getFileName()
print('data_filename=%s'%data_filename)
#check existence of data file
if not os.path.isfile(data_filename):
print("File not found: '%s'\n" % data_filename)
exit()
#check if nLines > 1
if self.fc.getNLines() == 1:
print("No data points in file: '%s'\n" % data_filename)
exit()
#create dict for matplotlib
readings = self.makeDictFromFile(data_filename)
d1Data = list(zip(*readings["dev1"]))
#print(d1Data)
ts_format = '%Y-%m-%d %H:%M:%S'
times = [datetime.datetime.strptime(ts,ts_format) for ts in d1Data[0]]
print(times)
#----------begin making the plot----------
print("Begin making plot\n")
nDev = len(self.fc.devices)
host = host_subplot(111,axes_class = AA.Axes)
host.set_xlabel("Time",labelpad=20)
ax = plt.gca()
#http://stackoverflow.com/a/4091264/1717828
xfmt = md.DateFormatter('\n\n%m-%d\n%H:%M:%S')
ax.xaxis.set_major_formatter(xfmt)
host.set_ylabel(self.fc.devices[0])
plot0, = host.plot(times,d1Data[1],marker='o')
plt.draw()
plt.show()
#----------plot drawing finished----------
def makeDictFromFile(self,data_filename):
#make dictionary of readings
#{
# "evapSi":[
# ['2016-01-29 00:00:00','3'],
# ['2016-01-29 00:00:01','4']
# ],
# "he3Flow"[
# ['2016-01-29 00:00:00','3'],
# ['2016-01-29 00:00:01','4']
# ],
# "evapPress"[
# ['2016-01-29 00:00:00','3'],
# ['2016-01-29 00:00:01','4']
# ['2016-01-29 00:00:02','8']
# ],
# ]
#}
dev_list = self.fc.devices
readings = {device:[] for device in dev_list}
with open(data_filename, mode='r') as infile:
reader = csv.reader(infile)
next(reader,None) #skip header
for d,v,t in reader:
readings[d].append([t,v])
#print(json.dumps(readings,sort_keys=True,indent=2))
return readings
