read_mod_aerosol_and_list_sds.py

'''
Module: read_mod_aerosol_and_list_sds.py
==========================================================================================
==========================================================================================
Disclaimer: The code is for demonstration purposes only. Users are responsible to check for accuracy and revise to fit their objective.

Originally Developed by:    Justin Roberts-Pierel & Pawan Gupta, 2015 
Organization:               NASA ARSET

Tested on Python Version: 3.7

Purpose: To print all SDS from an HDF4 file

See the README associated with this module for more information.
==========================================================================================
'''

from pyhdf import SD
import sys
#import numpy as np


# =============================================================================
# Inputs
#This uses the file "fileList.txt", containing the list of files, in order to read the files
try:
	fileList=open('fileList.txt','r')
except:
	print('Did not find a text file containing file names (perhaps name does not match)')
	sys.exit()

# =============================================================================


#loops through all files listed in the text file
for FILE_NAME in fileList:
	FILE_NAME=FILE_NAME.strip()
	user_input=input('Would you like to process\n' + FILE_NAME + '\n\n(Y/N)')
	if(user_input == 'N' or user_input == 'n'):
		continue
	else:
		if '3K' in FILE_NAME: #then this is a 3km MODIS file
			print('\nThis is a MODIS 3km file. Here is a list of SDS in your file:\n')
		elif 'L2' in FILE_NAME:
			print('\nThis is a MODIS 10km file. Here is a list of SDS in your file:\n')
		else:
			print('The file named :',FILE_NAME, ' is not a valid MODIS file (Or is named incorrectly). \n')
			continue
		try:
			# open the hdf file for reading
			hdf=SD.SD(FILE_NAME)
		except:
			print('Unable to open file: \n' + FILE_NAME + '\n Skipping...')
			continue
		#extract the list of SDS in the hdf4 file
		datasets=hdf.datasets()
		#Print the list
		for i,v in enumerate(datasets):
			print('{0}. {1}'.format(i+1,v))

		#asks if the user would like to continue to the next file, exits if not
print('\nAll valid files given have been processed')
2