def chart_metadata(request, res_ids):
print "running chart_metadata " + res_ids
# checks if there is two resource IDs
resources = res_ids.split("_")
data_for_chart = {'series':[None, None]}
if len(resources) == 2:
# checks if we already have an unzipped xml file
file_path = utilities.waterml_file_path(resources[0])
# if we don't have the xml file, downloads and unzips it
if not os.path.exists(file_path):
utilities.unzip_waterml(request, resources[0])
# returns an error message if the unzip_waterml failed
if not os.path.exists(file_path):
series_x = {'status': 'Resource file not found'}
else:
# parses the WaterML to a chart data object
series_x = waterml.parse(file_path, True)
# checks if we already have an unzipped xml file
file_path = utilities.waterml_file_path(resources[1])
# if we don't have the xml file, downloads and unzips it
if not os.path.exists(file_path):
utilities.unzip_waterml(request, resources[1])
# returns an error message if the unzip_waterml failed
if not os.path.exists(file_path):
series_y = {'status': 'Resource file not found'}
else:
# parses the WaterML to a chart data object
series_y = waterml.parse(file_path, True)
# retrieves the metadata
if series_x['status'] == 'success' and series_x['status'] == 'success':
# series_x['for_highchart'] = None
# series_y['for_highchart'] = None
metadata = {'status': 'success', 'x': series_x, 'y': series_y}
else:
metadata = {'status': 'error reading one of the time series', 'x': None, 'y': None}
else:
metadata = {'status': 'error loading data, expecting 2 time series, found ' + str(len(resources)), 'x': None, 'y': None}
return JsonResponse(metadata)
def chart_data(request, res_id):
# checks if we already have an unzipped xml file
file_path = utilities.waterml_file_path(res_id)
# if we don't have the xml file, downloads and unzips it
if not os.path.exists(file_path):
utilities.unzip_waterml(request, res_id)
# returns an error message if the unzip_waterml failed
if not os.path.exists(file_path):
data_for_chart = {'status': 'Resource file not found'}
else:
# parses the WaterML to a chart data object
data_for_chart = utilities.Original_Checker(file_path)
return JsonResponse(data_for_chart)
def chart_data(request, res_id, src):
print "start chart_data"
print datetime.now()
# checks if we already have an unzipped xml file
file_path = utilities.waterml_file_path(res_id)
# if we don't have the xml file, downloads and unzips it
if not os.path.exists(file_path):
utilities.unzip_waterml(request, res_id,src)
# returns an error message if the unzip_waterml failed
if not os.path.exists(file_path):
data_for_chart = {'status': 'Resource file not found'}
else:
# parses the WaterML to a chart data object
data_for_chart = utilities.Original_Checker(file_path,res_id)
# print data_for_chart
# print datetime.now()
# csv_file = utilities.get_workspace() + "/id/master.csv"
# print csv_file
print "JSON Reponse"
print datetime.now()
# data = []
# data1 = []
# with open(csv_file) as csvfile:
# reader = csv.reader(csvfile, delimiter = ',', quotechar = "'")
# # data1 = map(float,reader)
#
# counter = 0
# for row in reader:
#
# if counter ==0:
# print "first line"
# else:
# data.append(row)
# # print row
# counter = counter +1
#
# chart ={"for_highchart":data}
# chart = json.dumps(data_for_chart, sort_keys =True)
# response = HttpResponse(chart, content_type="text/plain")
return JsonResponse(data_for_chart )
def chart_data(request, res_id, src,id_qms):
data_for_chart =[]
test = ''
file_number =0
xml_id = None
xml_rest = False
if "xmlrest" in src:#id from USGS Gauge Viewer app
xml_rest = True
test = request.POST.get('url_xml')
xml_id = str(uuid.uuid4())#creates a unique id for the time series
# print datetime.now()
# checks if we already have an unzipped xml file
file_path = utilities.waterml_file_path(res_id,xml_rest,xml_id)
if src =='hydroshare':
file_number = utilities.unzip_waterml(request, res_id, src, test,xml_id)
else:
if not os.path.exists(file_path):
file_number = utilities.unzip_waterml(request, res_id, src, test,xml_id)
# if we don't have the xml file, downloads and unzips it
if file_number >0:
for i in range(0,file_number):
print i
temp_dir = utilities.get_workspace()
file_path = temp_dir+'/id/timeserieslayer' + str(i) + '.xml'
data_for_chart.append(utilities.Original_Checker(file_path,id_qms))
# data_for_chart.append({'file_number':file_number})
else:
# returns an error message if the unzip_waterml failed
if not os.path.exists(file_path):
data_for_chart = {'status': 'Resource file not found'}
else:
# parses the WaterML to a chart data object
data_for_chart.append(utilities.Original_Checker(file_path,id_qms))
# print "JSON Reponse"
# print datetime.now()
print "end of chart data"
return JsonResponse({'data':data_for_chart})