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This example creates a request for a Time Series Scalar Data data product for the Barkley Canyon / Axis (POD 1) 150 kHz ADCP and returns information about the request. The returns a Request Id, which can be used to run the data product.
Python 3.x
import requests
import json
url = 'http://dmas.uvic.ca/api/dataProductDelivery'
parameters = {'method':'request',
'token':'YOUR_TOKEN_HERE', # replace YOUR_TOKEN_HERE with your personal token obtained from the 'Web Services API' tab at http://dmas.uvic.ca/Profile
'locationCode':'BACAX', # Barkley Canyon / Axis (POD 1)
'deviceCategoryCode':'ADCP2MHZ', # 150 kHz Acoustic Doppler Current Profiler
'dataProductCode':'TSSD', # Time Series Scalar Data
'extension':'csv', # Comma Separated spreadsheet file
'begin':'2016-07-27T00:00:00.000Z',
'end':'2016-08-01T00:00:00.000Z',
'dpo_qualityControl':1,
'dpo_resample':'none',
'dpo_dataGaps':0}
response = requests.get(url,params=parameters)
if (response.ok):
requestInfo = json.loads(str(response.content,'utf-8')) # convert the json response to an object
print('Request Id: {}'.format(requestInfo['dpRequestId'])) # Print the Request Id
if ('numFiles' in requestInfo.keys()):
print('File Count: {}'.format(requestInfo['numFiles'])) # Print the Estimated File Size
if ('fileSize' in requestInfo.keys()):
print('File Size: {}'.format(requestInfo['fileSize'])) # Print the Estimated File Size
if 'downloadTimes' in requestInfo.keys():
print('Estimated download time:')
for e in sorted(requestInfo['downloadTimes'].items(),key=lambda t: t[1]):
print(' {} - {} sec'.format(e[0],'{:0.2f}'.format(e[1])))
if 'estimatedFileSize' in requestInfo.keys():
print('Estimated File Size: {}'.format(requestInfo['estimatedFileSize']))
if 'estimatedProcessingTime' in requestInfo.keys():
print('Estimated Processing Time: {}'.format(requestInfo['estimatedProcessingTime']))
else:
if(response.status_code == 400):
error = json.loads(str(response.content,'utf-8'))
print(error) # json response contains a list of errors, with an errorMessage and parameter
else:
print ('Error {} - {}'.format(response.status_code,response.reason))
Python 2.x Expand source
import requests
import json
url = 'http://dmas.uvic.ca/api/dataProductDelivery'
parameters = {'method':'request',
'token':'YOUR_TOKEN_HERE', # replace YOUR_TOKEN_HERE with your personal token obtained from the 'Web Services API' tab at http://dmas.uvic.ca/Profile
'locationCode':'BACAX', # Barkley Canyon / Axis (POD 1)
'deviceCategoryCode':'ADCP2MHZ', # 150 kHz Acoustic Doppler Current Profiler
'dataProductCode':'TSSD', # Time Series Scalar Data
'extension':'csv', # Comma Separated spreadsheet file
'begin':'2016-07-27T00:00:00.000Z',
'end':'2016-08-01T00:00:00.000Z',
'dpo_qualityControl':1,
'dpo_resample':'none',
'dpo_dataGaps':0}
response = requests.get(url,params=parameters)
if (response.ok):
requestInfo = json.loads(str(response.content)) # convert the json response to an object
print('Request Id: {}'.format(requestInfo['dpRequestId'])) # Print the Request Id
if ('numFiles' in requestInfo.keys()):
print('File Count: {}'.format(requestInfo['numFiles'])) # Print the Estimated File Size
if ('fileSize' in requestInfo.keys()):
print('File Size: {}'.format(requestInfo['fileSize'])) # Print the Estimated File Size
if 'downloadTimes' in requestInfo.keys():
print('Estimated download time:')
for e in sorted(requestInfo['downloadTimes'].items(),key=lambda t: t[1]):
print(' {} - {} sec'.format(e[0],'{:0.2f}'.format(e[1])))
if 'estimatedFileSize' in requestInfo.keys():
print('Estimated File Size: {}'.format(requestInfo['estimatedFileSize']))
if 'estimatedProcessingTime' in requestInfo.keys():
print('Estimated Processing Time: {}'.format(requestInfo['estimatedProcessingTime']))
else:
if(response.status_code == 400):
error = json.loads(str(response.content))
print(error) # json response contains a list of errors, with an errorMessage and parameter
else:
print ('Error {} - {}'.format(response.status_code,response.reason))
MatLab
options = weboptions('Timeout',60);
try
requestInfo = webread('http://dmas.uvic.ca/api/dataProductDelivery',...
'method','request',...
'token','YOUR_TOKEN_HERE',... %replace YOUR_TOKEN_HERE with your personal token obtained from the 'Web Services API' tab at http://dmas.uvic.ca/Profile
'locationCode','BACAX',... %Barkley Canyon / Axis (POD 1)
'deviceCategoryCode','ADCP2MHZ',... %150 kHz Acoustic Doppler Current Profiler
'dataProductCode','TSSD',... %Time Series Scalar Data
'extension','csv',... %Comma Separated spreadsheet file
'begin','2016-07-27T00:00:00.000Z',...
'end','2016-08-01T00:00:00.000Z',...
'dpo_qualityControl',1,...
'dpo_resample','none',...
'dpo_dataGaps',0,...
options);
disp(requestInfo)
catch ME
if (strcmp(ME.identifier,'MATLAB:webservices:HTTP400StatusCodeError'))
disp(ME.message);
else
disp(ME);
end
end
R
library(httr)
r <- GET("http://dmas.uvic.ca/api/dataProductDelivery",
query = list(method="request",
token="YOUR_TOKEN_HERE", #>replace YOUR_TOKEN_HERE with your personal token obtained from the 'Web Services API' tab at http://dmas.uvic.ca/Profile
locationCode="BACAX", #>Barkley Canyon / Axis (POD 1)
deviceCategoryCode="ADCP2MHZ", #>150 kHz Acoustic Doppler Current Profiler
dataProductCode="TSSD", #>Time Series Scalar Data
extension="csv", #>Comma Separated spreadsheet file
begin="2016-07-27T00:00:00.000Z",
end="2016-08-01T00:00:00.000Z",
dpo_qualityControl=1,
dpo_resample="none",
dpo_dataGaps=0))
if (http_error(r)) {
if (r$status_code == 400){
error = content(r)
str(error)
} else {
str(http_status(r)$message)
}
} else {
requestInfo = content(r)
str(requestInfo)
}
This example runs a data product request using a Request Id returned from the 'Request Data Product' example
Python 3.x
import requests
import json
url = 'http://dmas.uvic.ca/api/dataProductDelivery'
parameters = {'method':'run',
'token':'YOUR_TOKEN_HERE', # replace YOUR_TOKEN_HERE with your personal token obtained from the 'Web Services API' tab at http://dmas.uvic.ca/Profile
'dpRequestId':YOUR_REQUEST_ID_HERE} # replace YOUR_REQUEST_ID_HERE with a requestId number returned from the request method
response = requests.get(url,params=parameters)
if (response.ok):
runs = json.loads(str(response.content,'utf-8')) # convert the json response to an object
for runId in runs['dpRunIds']:
print('Run Id: {}'.format(runId)) # Print each of the Run Ids
else:
if(response.status_code == 400):
error = json.loads(str(response.content,'utf-8'))
print(error) # json response contains a list of errors, with an errorMessage and parameter
else:
print ('Error {} - {}'.format(response.status_code,response.reason))
Python 2.x Expand source
import requests
import json
url = 'http://dmas.uvic.ca/api/dataProductDelivery'
parameters = {'method':'run',
'token':'YOUR_TOKEN_HERE', # replace YOUR_TOKEN_HERE with your personal token obtained from the 'Web Services API' tab at http://dmas.uvic.ca/Profile
'dpRequestId':YOUR_REQUEST_ID_HERE} # replace YOUR_REQUEST_ID_HERE with a requestId number returned from the request method
response = requests.get(url,params=parameters)
if (response.ok):
runs = json.loads(str(response.content)) # convert the json response to an object
for runId in runs['dpRunIds']:
print('Run Id: {}'.format(runId)) # Print each of the Run Ids
else:
if(response.status_code == 400):
error = json.loads(str(response.content))
print(error) # json response contains a list of errors, with an errorMessage and parameter
else:
print ('Error {} - {}'.format(response.status_code,response.reason))
MatLab
options = weboptions('Timeout',60);
try
runs = webread('http://dmas.uvic.ca/api/dataProductDelivery',...
'method','run',...
'token','YOUR_TOKEN_HERE',... %replace YOUR_TOKEN_HERE with your personal token obtained from the 'Web Services API' tab at http://dmas.uvic.ca/Profile
'dpRequestId',YOUR_REQUEST_ID_HERE,... %replace YOUR_REQUEST_ID_HERE with a requestId number returned from the request method
options);
for i=1:numel(runs)
run = runs(i);
disp(sprintf('Run Id: %s',run));
end
catch ME
if (strcmp(ME.identifier,'MATLAB:webservices:HTTP400StatusCodeError'))
disp(ME.message);
else
disp(ME);
end
end
R
library(httr)
r <- GET("http://dmas.uvic.ca/api/dataProductDelivery",
query = list(method="run",
token="YOUR_TOKEN_HERE", #>replace YOUR_TOKEN_HERE with your personal token obtained from the 'Web Services API' tab at http://dmas.uvic.ca/Profile
dpRequestId=YOUR_REQUEST_ID_HERE)) #>replace YOUR_REQUEST_ID_HERE with a requestId number returned from the request method
if (http_error(r)) {
if (r$status_code == 400){
error = content(r)
str(error)
} else {
str(http_status(r)$message)
}
} else {
runs = content(r)
for (run in runs){
cat(sprintf("Run Id: %s",run))
}
}
This example downloads all of the files generated by a data product request using a Run Id returned from the 'Run Data Product Request' example
Python 3.x
import requests
import json
import os
from contextlib import closing
import errno
url = 'http://dmas.uvic.ca/api/dataProductDelivery'
parameters = {'method':'download',
'token':'YOUR_TOKEN_HERE', # replace YOUR_TOKEN_HERE with your personal token obtained from the 'Web Services API' tab at http://dmas.uvic.ca/Profile.
'dpRunId':YOUR_RUN_ID, # replace YOUR_RUN_ID with the dpRunId returned from the 'run' method.
'index':1} # for run requests that contain more than one file, change the index number to the index of the file you would like to download.
# If the index number does not exist an HTTP 410 and a message will be returned.
outPath='c:/temp' # replace with the file location you would like the file to be downloaded to.
with closing(requests.get(url,params=parameters,stream=True)) as streamResponse:
if streamResponse.status_code == 200: #OK
if 'Content-Disposition' in streamResponse.headers.keys():
content = streamResponse.headers['Content-Disposition']
filename = content.split('filename=')[1]
else:
print('Error: Invalid Header')
streamResponse.close()
sys.exit(-1)
filePath = '{}/{}'.format(outPath,filename)
try:
if (not os.path.isfile(filePath)):
#Create the directory structure if it doesn't already exist
try:
os.makedirs(outPath)
except OSError as exc:
if exc.errno == errno.EEXIST and os.path.isdir(outPath):
pass
else:
raise
print ("Downloading '{}'".format(filename))
with open(filePath,'wb') as handle:
try:
for block in streamResponse.iter_content(1024):
handle.write(block)
except KeyboardInterrupt:
print('Process interupted: Deleting {}'.format(filePath))
handle.close()
streamResponse.close()
os.remove(filePath)
sys.exit(-1)
else:
print (" Skipping '{}': File Already Exists".format(filename))
except:
msg = 'Error streaming response.'
print(msg)
else:
if(streamResponse.status_code in [202,204,400,404,410]):
payload = json.loads(str(streamResponse.content,'utf-8'))
if len(payload) >= 1:
msg = payload['message']
print('HTTP {} - {}: {}'.format(streamResponse.status_code,streamResponse.reason,msg))
else:
print ('Error {} - {}'.format(streamResponse.status_code,streamResponse.reason))
streamResponse.close()
Python 2.x Expand source
import requests
import json
import os
from contextlib import closing
import errno
url = 'http://dmas.uvic.ca/api/dataProductDelivery'
parameters = {'method':'download',
'token':'YOUR_TOKEN_HERE', # replace YOUR_TOKEN_HERE with your personal token obtained from the 'Web Services API' tab at http://dmas.uvic.ca/Profile.
'dpRunId':YOUR_RUN_ID, # replace YOUR_RUN_ID with the dpRunId returned from the 'run' method.
'index':1} # for run requests that contain more than one file, change the index number to the index of the file you would like to download.
# If the index number does not exist an HTTP 410 and a message will be returned.
outPath='c:/temp' # replace with the file location you would like the file to be downloaded to.
with closing(requests.get(url,params=parameters,stream=True)) as streamResponse:
if streamResponse.status_code == 200: #OK
if 'Content-Disposition' in streamResponse.headers.keys():
content = streamResponse.headers['Content-Disposition']
filename = content.split('filename=')[1]
else:
print('Error: Invalid Header')
streamResponse.close()
sys.exit(-1)
filePath = '{}/{}'.format(outPath,filename)
try:
if (not os.path.isfile(filePath)):
#Create the directory structure if it doesn't already exist
try:
os.makedirs(outPath)
except OSError as exc:
if exc.errno == errno.EEXIST and os.path.isdir(outPath):
pass
else:
raise
print ("Downloading '{}'".format(filename))
with open(filePath,'wb') as handle:
try:
for block in streamResponse.iter_content(1024):
handle.write(block)
except KeyboardInterrupt:
print('Process interupted: Deleting {}'.format(filePath))
handle.close()
streamResponse.close()
os.remove(filePath)
sys.exit(-1)
else:
print (" Skipping '{}': File Already Exists".format(filename))
except:
msg = 'Error streaming response.'
print(msg)
else:
if(streamResponse.status_code in [202,204,400,404,410]):
payload = json.loads(str(streamResponse.content))
if len(payload) >= 1:
msg = payload['message']
print('HTTP {} - {}: {}'.format(streamResponse.status_code,streamResponse.reason,msg))
else:
print ('Error {} - {}'.format(streamResponse.status_code,streamResponse.reason))
streamResponse.close()
MatLab
options = weboptions('Timeout',60);
try
runs = webread('http://dmas.uvic.ca/api/dataProductDelivery',...
'method','run',...
'token','YOUR_TOKEN_HERE',... %replace YOUR_TOKEN_HERE with your personal token obtained from the 'Web Services API' tab at http://dmas.uvic.ca/Profile
'dpRequestId',YOUR_REQUEST_ID_HERE,... %replace YOUR_REQUEST_ID_HERE with a requestId number returned from the request method
options);
for i=1:numel(runs)
run = runs(i);
disp(sprintf('Run Id: %s',run));
end
catch ME
if (strcmp(ME.identifier,'MATLAB:webservices:HTTP400StatusCodeError'))
disp(ME.message);
else
disp(ME);
end
end
R
library(httr)
r <- GET("http://dmas.uvic.ca/api/dataProductDelivery",
query = list(method="run",
token="YOUR_TOKEN_HERE", #>replace YOUR_TOKEN_HERE with your personal token obtained from the 'Web Services API' tab at http://dmas.uvic.ca/Profile
dpRequestId=YOUR_REQUEST_ID_HERE)) #>replace YOUR_REQUEST_ID_HERE with a requestId number returned from the request method
if (http_error(r)) {
if (r$status_code == 400){
error = content(r)
str(error)
} else {
str(http_status(r)$message)
}
} else {
runs = content(r)
for (run in runs){
cat(sprintf("Run Id: %s",run))
}
}
This example shows the complete workflow from requesting a data product through to completing the download
Python 3.x
import requests
import json
import os
import sys
import time
from contextlib import closing
import errno
import math
url = 'http://qaweb2.neptune.uvic.ca/api/dataProductDelivery'
token = 'b6ede000-1865-4ac3-94ad-e87d8bdfd307' # replace YOUR_TOKEN_HERE with your personal token obtained from the 'Web Services API' tab at http://dmas.uvic.ca/Profile
requestParameters = {'method':'request',
'token':token,
'locationCode':'BACAX', # Barkley Canyon / Axis (POD 1)
'deviceCategoryCode':'ADCP2MHZ', # 150 kHz Acoustic Doppler Current Profiler
'dataProductCode':'TSSD', # Time Series Scalar Data
'extension':'csv', # Comma Separated spreadsheet file
'begin':'2016-07-27T00:00:00.000Z', # The datetime of the first (From) data point
'end':'2016-08-01T00:00:00.000Z', # The datetime of the last (To) data point
'dpo_qualityControl':1, # The Quality Control data product option - See https://wiki.oceannetworks.ca/display/DP/1
'dpo_resample':'none', # The Resampling data product option - See https://wiki.oceannetworks.ca/display/DP/1
'dpo_dataGaps':0} # The Data Gaps data product option - See https://wiki.oceannetworks.ca/display/DP/1
downloadFolder = 'c:/temp' # The folder that file(s) will be saved to
def main():
requestId = requestDataProduct(requestParameters)
for runId in runDataProduct(requestId):
indx = 1 #Index Number of file to download.
#Because the number of files are not known until the process is complete,
#we try the next index until we get back a 404 status indicating that we are beyond the end of the array
while True:
dict = downloadDataProductIndex(runId,indx,downloadFolder)
if dict:
indx+=1
else:
break
def requestDataProduct(parameters):
response = requests.get(url,params=parameters)
requestId = None
if (response.ok):
requestInfo = json.loads(str(response.content)) # convert the json response to an object # for python 3.x use str(response.content,'utf-8')
requestId = requestInfo['dpRequestId']
print('Request Id: {}'.format(requestId)) # Print the Request Id
if ('numFiles' in requestInfo.keys()):
print('File Count: {}'.format(requestInfo['numFiles'])) # Print the Estimated File Size
if ('fileSize' in requestInfo.keys()):
print('File Size: {}'.format(requestInfo['fileSize'])) # Print the Estimated File Size
if 'downloadTimes' in requestInfo.keys():
print('Estimated download time:')
for e in sorted(requestInfo['downloadTimes'].items(),key=lambda t: t[1]):
print(' {} - {} sec'.format(e[0],'{:0.2f}'.format(e[1])))
if 'estimatedFileSize' in requestInfo.keys():
print('Estimated File Size: {}'.format(requestInfo['estimatedFileSize']))
if 'estimatedProcessingTime' in requestInfo.keys():
print('Estimated Processing Time: {}'.format(requestInfo['estimatedProcessingTime']))
else:
if(response.status_code == 400):
error = json.loads(str(response.content,'utf-8'))
print(error) # json response contains a list of errors, with an errorMessage and parameter
else:
print ('Error {} - {}'.format(response.status_code,response.reason))
return requestId
def runDataProduct(requestId):
parameters = {'method':'run',
'token':token,
'dpRequestId':requestId}
response = requests.get(url,params=parameters)
runIds = []
if (response.ok):
runs = json.loads(str(response.content)) # convert the json response to an object # for python 3.x use str(response.content,'utf-8')
runIds = runs['dpRunIds']
for runId in runIds:
print('Run Id: {}'.format(runId)) # Print each of the Run Ids
else:
if(response.status_code == 400):
error = json.loads(str(response.content)) # for python 3.x use str(response.content,'utf-8')
print(error) # json response contains a list of errors, with an errorMessage and parameter
else:
print ('Error {} - {}'.format(response.status_code,response.reason))
return runIds
def downloadDataProductIndex(runId, # The ID of the run process to download the files for. RunIds are returned from the dataProductDelivery run method
indx=1, # The index of the file to be downloaded. Data files have an index of 1 or higher. The Metadata has an index of 'meta'
outPath='c:/temp',
fileCount=1, # The actual or estimated file count, which is returned from the dataProductDelivery request method
estimatedProcessingTime=1, # The estimated processing time in seconds, which is used to determine how often to poll the web service. The estimated processing time is returned from the dataProductDelivery request method
maxRetries=100): # Determines the maximum number of times the process will poll the service before it times out. The purpose of this property is to prevent hung processes on the Task server to hang this process.
url = 'http://qaweb2.neptune.uvic.ca/api/dataProductDelivery'
parameters = {'method':'download',
'token':'b6ede000-1865-4ac3-94ad-e87d8bdfd307', # replace YOUR_TOKEN_HERE with your personal token obtained from the 'Web Services API' tab at http://dmas.uvic.ca/Profile
'dpRunId':runId,
'index':indx}
defaultSleepTime = 2
downloadResult = {}
tryCount = 0
lastMessage = None
if (estimatedProcessingTime > 1):
sleepTime = estimatedProcessingTime * 0.5
else:
sleepTime = defaultSleepTime
while True:
tryCount+=1
if tryCount >= maxRetries:
msg = 'Maximum number of retries ({}) exceeded'.format(maxRetries)
print(msg)
break
with closing(requests.get(url,params=parameters,stream=True)) as streamResponse:
if (streamResponse.ok): #Indicates that the request was successful and did not fail. The status code indicates if the stream contains a file (200) or
if streamResponse.status_code == 200: #OK
tryCount=0
if 'Content-Disposition' in streamResponse.headers.keys():
content = streamResponse.headers['Content-Disposition']
filename = content.split('filename=')[1]
else:
print('Error: Invalid Header')
streamResponse.close()
break
if 'Content-Length' in streamResponse.headers.keys():
size = streamResponse.headers['Content-Length']
else:
size = 0
filePath = '{}/{}'.format(outPath,filename)
try:
if (indx==1):
print('')
if (not os.path.isfile(filePath)):
#Create the directory structure if it doesn't already exist
try:
os.makedirs(outPath)
except OSError as exc:
if exc.errno == errno.EEXIST and os.path.isdir(outPath):
pass
else:
raise
if fileCount == 0:
print (" Downloading {} '{}' ({})".format(indx,filename,convertSize(float(size))))
else:
print (" Downloading {}/{} '{}' ({})".format(indx,fileCount,filename,convertSize(float(size))))
with open(filePath,'wb') as handle:
try:
for block in streamResponse.iter_content(1024):
handle.write(block)
except KeyboardInterrupt:
print('Process interupted: Deleting {}'.format(filePath))
handle.close()
streamResponse.close()
os.remove(filePath)
sys.exit(-1)
else:
if fileCount == 0:
print (" Skipping {} '{}': File Already Exists".format(indx,filename))
else:
print (" Skipping {}/{} '{}': File Already Exists".format(indx,fileCount,filename))
except:
msg = 'Error streaming response.'
print(msg)
downloadResult['url'] = url
streamResponse.close()
break
elif streamResponse.status_code == 202: #Accepted - Result is not complete -> Retry
payload = json.loads(str(streamResponse.content))
if len(payload) >= 1:
msg = payload['message']
if (msg != lastMessage): #display a new message if it has changed
print '\n {}'.format(msg), # for python 3.x use print ('\n {}'.format(msg),end='')
sys.stdout.flush()
lastMessage=msg
tryCount=0
else: #Add a dot to the end of the message to indicate that it is still receiving the same message
print '.', # for python 3.x use print ('.',end='')
sys.stdout.flush()
else:
print('Retrying...')
elif streamResponse.status_code == 204: #No Content - No Data found
responseStr = str(streamResponse.content) # for python 3.x use str(response.content,'utf-8')
if not(responseStr == ''):
payload = json.loads(responseStr)
msg = ' {} [{}]'.format(payload['message'],streamResponse.status_code)
else:
msg = 'No Data found'
print('\n{}'.format(msg))
streamResponse.close()
break
else:
msg = 'HTTP Status: {}'.format(streamResponse.status_code)
print(msg)
elif streamResponse.status_code == 400: #Error occurred
print(' HTTP Status: {}'.format(streamResponse.status_code))
payload = json.loads(str(streamResponse.content)) # for python 3.x use str(response.content,'utf-8')
if len(payload) >= 1:
if ('errors' in payload):
for e in payload['errors']:
msg = e['errorMessage']
printErrorMesasge(streamResponse,parameters)
elif ('message' in payload):
msg = ' {} [{}]'.format(payload['message'],streamResponse.status_code)
print('\n{}'.format(msg))
else:
print(msg)
else:
msg = 'Error occurred processing data product request'
print(msg)
streamResponse.close()
break
elif streamResponse.status_code == 404: #Not Found - Beyond End of Index - Index # > Results Count
streamResponse.close()
downloadResult = None
break
elif streamResponse.status_code == 410: #Gone - file does not exist on the FTP server. It may not have been transfered to the FTP server yet
payload = json.loads(str(streamResponse.content)) # for python 3.x use str(response.content,'utf-8')
if len(payload) >= 1:
msg = payload['message']
if (msg != lastMessage):
print '\n Waiting... {}'.format(msg), # for python 3.x use print ('\n Waiting... {}'.format(msg),end='')
sys.stdout.flush()
lastMessage=msg
tryCount=0
else:
print '.', # for python 3.x use print ('.',end='',sep='')
sys.stdout.flush()
else:
print('\nRunning... Writing File.')
elif streamResponse.status_code == 500: #Internal Server Error occurred
msg = printErrorMesasge(streamResponse,parameters)
print(' URL: {}'.format(streamResponse.url))
streamResponse.close()
break
else:
try:
payload = json.loads(str(streamResponse.content)) # for python 3.x use str(response.content,'utf-8')
if len(payload) >= 1:
if ('errors' in payload):
for e in payload['errors']:
msg = e['errorMessage']
printErrorMesasge(streamResponse,parameters)
elif ('message' in payload):
msg = payload['message']
print('\n {} [{}]'.format(msg,streamResponse.status_code))
streamResponse.close()
break
except:
printErrorMesasge(streamResponse,parameters)
print('{} Retrying...'.format(msg))
streamResponse.close()
break
streamResponse.close()
if (tryCount <= 5) and (sleepTime > defaultSleepTime):
sleepTime = sleepTime * 0.5
time.sleep(sleepTime)
return downloadResult
def convertSize(size):
if (size == 0):
return '0 KB'
size_name = ("B","KB","MB", "GB", "TB", "PB", "EB", "ZB", "YB")
i = int(math.floor(math.log(size,1024)))
p = math.pow(1024,i)
s = round(size/p,2)
return '%s %s' % (s,size_name[i])
def printErrorMesasge(response,
parameters,
showUrl=False,
showValue=False):
if(response.status_code == 400):
if showUrl:print('Error Executing: {}'.format(response.url))
payload = json.loads(str(response.content)) # for python 3.x use str(response.content,'utf-8')
if len(payload) >= 1:
for e in payload['errors']:
msg = e['errorMessage']
parm = e['parameter']
matching = [p for p in parm.split(',') if p in parameters.keys()]
if len(matching) >=1:
for p in matching:print(" '{}' for {} - value: '{}'".format(msg,p,parameters[p]))
else:
print(" '{}' for {}".format(msg,parm))
if showValue:
for p in parm.split(','):
parmValue = parameters[p]
print(" {} for {} - value: '{}'".format(msg,p,parmValue))
return payload
else:
msg = 'Error {} - {}'.format(response.status_code,response.reason)
print (msg)
return msg
if __name__ == '__main__':
main()
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