#Cerca i file relativi alle immagini delle lettere DATINI e le copia
#%%
import csv
from fileinput import filename
import os
import os.path
import shutil



#%%

csv_lettere = open('C:\\Users\\OVI-CNR\\Desktop\\Immagini Datini\\datini_associate_images_2.csv')
reader = csv.DictReader(csv_lettere)
for row in reader:
    line = []
    filename_1 = row['filename_1']
    filename_2 = row['filename_2']
    filename_3 = row['filename_3']
    filename_4 = row['filename_4']
    filename_5 = row['filename_5']
    filename_6 = row['filename_6']

    for subdir, dirs, files in os.walk("Z:\\IMMAGINI DATINI"):
        for file in files:
            #print os.path.join(subdir, file)
            filepath = subdir + os.sep + file

            if filename_1 != "" and " ":
                if filepath.__contains__(filename_1): 
                    print (file)
                    shutil.copy(filepath, 'C:\\Users\\OVI-CNR\\Desktop\\extracted_images')
            if filename_2 != "" and " ":
                if filepath.__contains__(filename_2): 
                    print (file)
                    shutil.copy(filepath, 'C:\\Users\\OVI-CNR\\Desktop\\extracted_images')
            if filename_3 != "" and " ":
                if filepath.__contains__(filename_3):
                    print (file)
                    shutil.copy(filepath, 'C:\\Users\\OVI-CNR\\Desktop\\extracted_images')
            if filename_4 != "" and " ":        
                if filepath.__contains__(filename_4):
                    print (file)
                    shutil.copy(filepath, 'C:\\Users\\OVI-CNR\\Desktop\\extracted_images')
            if filename_5 != "" and " ":        
                if filepath.__contains__(filename_5): 
                    print (file)
                    shutil.copy(filepath, 'C:\\Users\\OVI-CNR\\Desktop\\extracted_images')
            if filename_6 != "" and " ":        
                if filepath.__contains__(filename_6): 
                    print (file)
                    shutil.copy(filepath, 'C:\\Users\\OVI-CNR\\Desktop\\extracted_images')    


            
           #if filepath.__contains__(filename_5):