def test():
'''Test function.'''
print('---Module coordExport test---')
hurdatExport = fileIO.openFile('HURDAT_Export.txt')
hurdatExport.readline() # Reads headers
line = hurdatExport.readline()
print('***__getStage test***')
print('Stage :',__getStage(line))
print('***__getCat test***')
print('Cat :',__getCat(line))
print('***__getLandfall test***')
print('Landfall:',__getLandfall(line))
print('***__filter test***')
filterTerms = {}
#filterTerms = {'cat':['TS','H1','H2','H3','H4','H5']}
filterTerms = {'stage':'Tropical Cyclone'}
searchType = 'and'
filteredData = __filterData(hurdatExport, filterTerms, searchType)
verbose = False
if verbose:
for line in filteredData:
print(line)
print('Number of entires found:',len(filteredData))
def test():
'''Test function.'''
print('---Module hurdatReader test---')
import os, fileIO
## Atlantic
#hurdatData = fileIO.openFile('hurdat2-1851-2017-050118.txt', '..\\data')
# East Pacific
hurdatData = fileIO.openFile('hurdat2-nepac-1949-2017-050418.txt',
'..\\data')
hourList = [0, 6, 12, 18]
for line in hurdatData:
if isHeader(line):
ID = getStormID(line)
name = getName(line).strip()
year = getYear(line)
elif isFooter(line):
pass
else:
x = 0
y = 0
# for i in range(4):
lon = getLon(line, x, y)
if (getLat(line, x, y) and lon != 0.0 and year == 2014):
# if lon >= 180.0:
# lon = (lon - 360)*-1
# else:
# lon = lon * -1
print('\n')
print('ID :', str(ID))
print('Name :', name)
print('Year :', str(year))
print('Month:', str(getMonth(line)))
print('Day :', str(getDay(line)))
print('Hour :', str(getHour(line))) # write hour
print('Lat :', str(getLat(line, x, y)))
print('Lon :', str(lon).strip())
print('Wind :', str(getWind(line, x, y)))
print('Press:', str(getPressure(line, x, y)))
print('Stage:', getStage(line, x, y))
print('Cat :', getCategory(line, x, y))
print('Land :', str(madeLandfall(line)))
# x = y
# y = x + 17
if getMonth(line) == 12 and getDay(line) == 31 and getHour(
line) == 18:
year = year + 1
hurdatData.close()
def test():
'''Test function.'''
print('---Module hurdatReader test---')
import os, fileIO
hurdatData = fileIO.openFile('HURDAT_tracks1851to2010_atl_2011rev.txt', '..\\data')
hourList = [0,6,12,18]
for line in hurdatData:
if isHeader(line):
ID = getStormID(line)
name = getName(line).strip()
year = getYear(line)
landfall = madeLandfall(line)
elif isFooter(line):
pass
else:
x = 11
y = 28
for i in range(4):
lon = getLon(line, x, y)
if (getLat(line, x, y) and lon != 0.0 and year == 1886):
if lon >= 180.0:
lon = (lon - 360)*-1
else:
lon = lon * -1
print('\n')
print('ID :', str(ID))
print('Name :', name)
print('Year :', str(year))
print('Month:', str(getMonth(line)))
print('Day :', str(getDay(line)))
print('Hour :', str(hourList[i])) # write hour
print('Lat :', str(getLat(line, x, y)))
print('Lon :', str(lon).strip())
print('Wind :', str(getWind(line, x, y)))
print('Press:', str(getPressure(line, x, y)))
print('Stage:', getStage(line, x, y))
print('Cat :', getCategory(line, x, y))
print('Land :', str(landfall))
x = y
y = x + 17
if getMonth(line) == 12 and getDay(line) == 31 and hourList[i] == 18:
year = year + 1
hurdatData.close()
@author: David Stack
'''
import hurdatExport, fileIO, coordExport
# Read HURDAT Data
print('-----')
print('Reading HURDAT data...')
print('-----')
## Atlantic
#hurdatData = fileIO.openFile('hurdat2-1851-2017-050118.txt', '..\\data')
# East Pacific
hurdatData = fileIO.openFile('hurdat2-nepac-1949-2017-050418.txt', '..\\data')
hurdatExport.exportToCSV(hurdatData, '..\\output\\HURDAT_Export_Pacific.csv')
hurdatData.seek(0, 0)
hurdatExport.exportToTXT(hurdatData, '..\\output\\HURDAT_Export_Pacific.txt')
hurdatData.close()
## Average coordinates with all observations
#print('-----')
#print('Saving average coordinates data...')
#print('-----')
#hurdatExportFile = fileIO.openFile('..\\output\\HURDAT_Export.txt')
#coordExport.exportToTXT(hurdatExportFile, '..\\output\\Coord_Export.txt')
#
## Average coordinates using filters
## Only category TS-H5 Storms
preprocessed = fileIO.openJSONFile(config["base"] +
project["preprocessed"] +
preprocessedFileName)
filesToProcess = fileIO.getProjectFiles(config["base"] +
project["location"])
# Need to at some point remove the processing of the JSON file
# that stores preproccessed files.
print("Files indexed in " + project['name'] +
", attempting to match them against licenses.")
for document in filesToProcess:
if preprocessedFileName not in document:
hashOfFile = hashlib.md5(
fileIO.openFile(config['base'] + project["location"] +
document).read().encode('utf-8')).hexdigest()
hashOfFile = str(hashOfFile)
# A flag that signals a chance to the
# preprocessed file of an individual project.
editToPreprocessed = 0
for license in licenseAttributes["licenses"]:
if (hashOfFile in preprocessed['preprocessed']):
# In most cases I don't imagine a user is going to add their own
# license file. However, if they want to, we still want to utilise
# the preprocessed speedup.
if (license in preprocessed['preprocessed'][hashOfFile]):
if (preprocessed['preprocessed'][hashOfFile][license]
== "true"):
foundLicenses.append(license)
licenseAttributes = fileIO.openJSONFile(config['base'] + config['attributes_files'])
print("Beginning to scan through project files defined in config.")
for project in config["projects"]:
foundLicenses = []
preprocessed = fileIO.openJSONFile(config["base"]+project["preprocessed"] + preprocessedFileName)
filesToProcess = fileIO.getProjectFiles(config["base"]+project["location"])
# Need to at some point remove the processing of the JSON file
# that stores preproccessed files.
print("Files indexed in "+project['name']+", attempting to match them against licenses.")
for document in filesToProcess:
if preprocessedFileName not in document:
hashOfFile = hashlib.md5(fileIO.openFile(config['base']+project["location"]+document).read().encode('utf-8')).hexdigest()
hashOfFile = str(hashOfFile);
# A flag that signals a chance to the
# preprocessed file of an individual project.
editToPreprocessed = 0
for license in licenseAttributes["licenses"]:
if(hashOfFile in preprocessed['preprocessed']):
# In most cases I don't imagine a user is going to add their own
# license file. However, if they want to, we still want to utilise
# the preprocessed speedup.
if(license in preprocessed['preprocessed'][hashOfFile]):
if(preprocessed['preprocessed'][hashOfFile][license] == "true"):
foundLicenses.append(license)
#!/usr/bin/env python 3.2
'''
Main file to run HURDAT analysis.
@author: David Stack
'''
import hurdatExport, fileIO, coordExport
# Read HURDAT Data
print('-----')
print('Reading HURDAT data...')
print('-----')
hurdatData = fileIO.openFile('HURDAT_tracks1851to2010_atl_2011rev.txt', '..\\data')
hurdatExport.exportToCSV(hurdatData, '..\\output\\HURDAT_Export.csv')
hurdatData.seek(0, 0)
hurdatExport.exportToTXT(hurdatData, '..\\output\\HURDAT_Export.txt')
hurdatData.close()
# Average coordinates with all observations
print('-----')
print('Saving average coordinates data...')
print('-----')
hurdatExportFile = fileIO.openFile('..\\output\\HURDAT_Export.txt')
coordExport.exportToTXT(hurdatExportFile, '..\\output\\Coord_Export.txt')
# Average coordinates using filters
# Only category TS-H5 Storms
hurdatExportFile.seek(0, 0)
filterTerms = {'cat':['TS','H1','H2','H3','H4','H5']}
coordExport.exportToTXT(hurdatExportFile, '..\\output\\Coord_Export_TS-H5.txt', filterTerms)
