def parse_weather_for_data(json_data, bin_data):
climate_data_file = ClimateDataFile()
climate_data_file.load(json_data, bin_data)
# Retrieve all necessary data
node_ids = climate_data_file.nodeIDs
climate_data = climate_data_file.climateData
start_day_of_year = climate_data_file.startDayOfYear
data_value_count = climate_data_file.dataValueCount
original_data_years = climate_data_file.originalDataYears
# Fill dates
months = ['', 'January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October',
'November', 'December']
start_day_of_year_array = start_day_of_year.split(" ")
for month in range(len(months)):
if start_day_of_year_array[0] == months[month]:
start_month = month
break
else:
raise ValueError("Month name in StartDayOfYear must be in it's full name (ie January, not Jan or Jan.) "
"StartDayOfYear was " + start_day_of_year_array[0])
start_year = original_data_years.split("-")[0] # Gets first year of year range (ie 1950 if it is 1950-2000)
# This needs to be here to prevent it from incorrectly reading a date like 1955101 as 10/1/1955 instead of 1/01/1955
if start_month < 10:
start_month = "0" + str(start_month)
full_start_date = str(start_year) + str(start_month) + str(start_day_of_year_array[1])
start_date = time.strptime(full_start_date,'%Y%m%d')
start_date = date(start_date.tm_year, start_date.tm_mon, start_date.tm_mday)
dates = []
dates.append(start_date.strftime('%m/%d/%Y'))
for i in range(data_value_count-1):
new_date = start_date + timedelta(i+1)
dates.append(new_date.strftime('%m/%d/%Y'))
# This packs everything into the form that highstocks is expecting
node = []
count = 0
for data_point in climate_data[node_ids[0]]:
node.append([])
time_stamp = dates[count]
time_stamp = time.mktime(datetime.strptime(str(time_stamp), "%m/%d/%Y").timetuple())*1000
node[count].append(time_stamp)
node[count].append(climate_data[node_ids[0]][count])
count += 1
return node
def getChartData(jsonFile, binFile):
climateDataFile = ClimateDataFile()
climateDataFile.load(jsonFile, binFile)
dates = climateDataFile.getDates()
firstNode = climateDataFile.nodeIDs[0]
node = []
count = 0
for dataPoint in climateDataFile.climateData[firstNode]:
node.append([])
timeStamp = dates[count]
timeStamp = time.mktime(datetime.datetime.strptime(str(timeStamp), "%m/%d/%Y").timetuple())*1000
node[count].append(timeStamp)
node[count].append(climateDataFile.climateData[firstNode][count])
count += 1
return node