lennymd · February 15, 2020 21:16 · lennymd · Feb 15, 2020 · lennymd · Feb 15, 2020
diff --git a/getFiles.py b/getFiles.py
 # This script will search for all the
 import glob, csv

 # the name of your hard drive
 hdName = "lennymartinezd"

 # the name of the folder where all the POY images are on"
 mainFolderName = "_photoExports"

 mainFolderPath = "/Volumes/" + hdName + "/" + mainFolderName

 # the different photo formats I expect would be used over the years
 fileTypes = ["jpg", "JPG", "jpeg", "JPEG", "png", "PNG"]

 # The single line of code is the same as the following extended code.
 # It's called a list comprehension and is slightly more efficient
 # queries = []
 # for fileType in fileTypes:
 #     queries.append(mainFolderPath + "/*/*." + fileType)
 queries = [mainFolderPath + "/*/*." + fileType for fileType in fileTypes]

 # print(queries[0])

 # From the above print, you may end up with a query that looks like this:
 # /Volumes/lennymartinezd/_photoExports/*/*.jpg
 # What we'll do now is use the glob module to run this query.
 # Starting at the /Volumes/lennymartinezd/_photoExports
 # it will go through every folder and any subfolder
 # to find all .jpg files.


 pictures = ["absoluteURL"]

 for query in queries:
    pictures.extend(glob.glob(query))

 # At this point, you have a list of all the paths for all the pictures.
 # If you try to save this as it is now to a CSV, you will 1 row
 # with n columns. Let's flip things so you have 1 column with n rows.

 pictures_col = []
 for picture in pictures:
    pictures_col.append([picture])

 # That worked out nice because python will do the stuff on the right
 # of the = before updating the pictures variable (on the left of the =)
 # All that's left is to save. I always look at how i did it in an old
 # project and change the names for what i need now:

 with open("pictures.csv", "w") as myFile:
    csv.writer(myFile, delimiter=",").writerows(pictures_col)
	# This script will search for all the
	import glob, csv

	# the name of your hard drive
	hdName = "lennymartinezd"

	# the name of the folder where all the POY images are on"
	mainFolderName = "_photoExports"

	mainFolderPath = "/Volumes/" + hdName + "/" + mainFolderName

	# the different photo formats I expect would be used over the years
	fileTypes = ["jpg", "JPG", "jpeg", "JPEG", "png", "PNG"]

	# The single line of code is the same as the following extended code.
	# It's called a list comprehension and is slightly more efficient
	# queries = []
	# for fileType in fileTypes:
	# queries.append(mainFolderPath + "//." + fileType)
	queries = [mainFolderPath + "//." + fileType for fileType in fileTypes]

	# print(queries[0])

	# From the above print, you may end up with a query that looks like this:
	# /Volumes/lennymartinezd/_photoExports//.jpg
	# What we'll do now is use the glob module to run this query.
	# Starting at the /Volumes/lennymartinezd/_photoExports
	# it will go through every folder and any subfolder
	# to find all .jpg files.


	pictures = ["absoluteURL"]

	for query in queries:
	pictures.extend(glob.glob(query))

	# At this point, you have a list of all the paths for all the pictures.
	# If you try to save this as it is now to a CSV, you will 1 row
	# with n columns. Let's flip things so you have 1 column with n rows.

	pictures_col = []
	for picture in pictures:
	pictures_col.append([picture])

	# That worked out nice because python will do the stuff on the right
	# of the = before updating the pictures variable (on the left of the =)
	# All that's left is to save. I always look at how i did it in an old
	# project and change the names for what i need now:

	with open("pictures.csv", "w") as myFile:
	csv.writer(myFile, delimiter=",").writerows(pictures_col)