sort_and_rename.py

#%%
import glob
import numpy as np
import pandas as pd
import exifread
import imagehash

import IPython.display
from PIL import Image
from datetime import datetime
from shutil import copyfile

#%%
photo_names = glob.glob('merged_photos/*.jpg')
target_dir = 'renamed_photos'

def photo_datetime(filename):
    with open(filename, 'rb') as photo:
        taken = exifread.process_file(photo)['EXIF DateTimeOriginal'].values
        return datetime.strptime(taken, "%Y:%m:%d %H:%M:%S")

def photo_hash(filename):
    with Image.open(filename) as photo:
        return imagehash.dhash(photo)

#%%
df = pd.DataFrame(photo_names, columns=["name"])
df['datetime'] = [photo_datetime(filename) for filename in photo_names]

df.sort(['datetime','name'], inplace=True)
df.reset_index(inplace=True, drop=True)
df

#%%
df['dhash'] = [photo_hash(filename) for filename in photo_names]
df

#%%
df['new_name'] = f"{target_dir}/fb_photo_" \
                    + df['datetime'].map(lambda x: x.strftime('%Y-%m-%d-%H-%M-%S')) \
                    + "_dhash_" + df['dhash'].map(str) \
                    + '.jpg'
df

# for p in df['name'][1200:]:
#     IPython.display.display(IPython.display.Image(p))

for index, row in df.iterrows():
    print(row['name'], row['new_name'])
    copyfile(row['name'], row['new_name'])