Implemented renaming schemes

2 files changed, 48 insertions, 0 deletions

diff --git a/file-tagger.py b/file-tagger.py
index d7d572b..4d25e90 100644
--- a/file-tagger.py
+++ b/file-tagger.py
@@ -48,6 +48,20 @@ def walk(tmsu, args):
         not_empty = bool(tags)
         logger.info("Existing tags: {}".format(tags))
 
+        if ".tmsu" in file_path:
+            logger.info("Database meta file, skipping.")
+            continue
+
+        logger.info("Renaming file {}".format(file_path))
+        file_path = files[i] =  {
+            "none": lambda x: x,
+            "sha1": rename_sha1,
+            "sha256": rename_sha256,
+            "cdate": rename_cdate,
+            "mdate": rename_mdate
+        }.get(args["rename"])(file_path)
+        logger.info("New file name: {}".format(file_path))
+
         if (not_empty and args["skip_tagged"]):
             logger.info("Already tagged, skipping.")
             continue
@@ -158,6 +172,7 @@ def walk(tmsu, args):
         if ((not args["gui_tag"]) and (not args["skip_prompt"])):
             tags = set(input_with_prefill("\nTags for file {}:\n".format(file_path), ','.join(tags)).split(","))
 
+        tags = { tag.lower().replace(" ", "_") for tag in tags }
         logger.info("Tagging {}".format(tags))
         tmsu.tag(file_path, tags, untag=not_empty)
 
@@ -168,6 +183,7 @@ if __name__ == "__main__":
     parser.add_argument('-f', '--file-dir', nargs='?', default='.', type=dir_path, help='File directory for walking (default: %(default)s)')
     parser.add_argument('-g', '--gui', nargs='?', const=1, default=False, type=bool, help='Show main GUI (default: %(default)s)')
     parser.add_argument('--tmsu-command', nargs='?', const=1, default="tmsu", type=str, help='TMSU command override (default: %(default)s)')
+    parser.add_argument('-r', '--rename', nargs='?', const=1, choices=["none", "sha1", "sha256", "cdate", "mdate"], default="none", type=str.lower, help='Rename files based on given scheme (default: %(default)s)')
     parser.add_argument('--tag-metadata', nargs='?', const=1, default=True, type=bool, help='Use metadata as default tags (default: %(default)s)')
     parser.add_argument('--predict-images', nargs='?', const=1, default=False, type=bool, help='Use prediction for image tagging (default: %(default)s)')
     parser.add_argument('--predict-images-backend', nargs='?', const=1, choices=["torch", "tensorflow", "keras"], default="torch", type=str.lower, help='Determines which backend should be used for keyword prediction (default: %(default)s)')
@@ -200,6 +216,7 @@ if __name__ == "__main__":
         "file_dir": args.file_dir,
         "gui": args.gui,
         "tmsu_command": args.tmsu_command,
+        "rename": args.rename,
         "tag_metadata": args.tag_metadata,
         "predict_images": args.predict_images,
         "predict_images_backend": args.predict_images_backend,
diff --git a/util.py b/util.py
index 9fca80c..5e0ccce 100644
--- a/util.py
+++ b/util.py
@@ -7,6 +7,37 @@ import os
 import numpy as np
 from queue import Queue
 from threading import Thread, Lock
+import hashlib
+import datetime
+
+BUF_SIZE = 65535
+
+def rename(old, new_base):
+    ext = os.path.splitext(os.path.basename(old))[1]
+    new_fpath = os.path.join(os.path.dirname(old), new_base + ext)
+    os.rename(old, new_fpath)
+    return new_fpath
+
+def rename_hash(fpath, hash):
+    with open(fpath, 'rb') as f:
+        while True:
+            data = f.read(BUF_SIZE)
+            if not data:
+                break
+            hash.update(data)
+    return rename(fpath, hash.hexdigest())
+
+def rename_sha1(fpath):
+    return rename_hash(fpath, hashlib.sha1())
+
+def rename_sha256(fpath):
+    return rename_hash(fpath, hashlib.sha256())
+
+def rename_cdate(fpath):
+    return rename(fpath, datetime.datetime.fromtimestamp(os.path.getctime(fpath)).strftime("%Y-%m-%d_%H:%M:%S:%f"))
+
+def rename_mdate(fpath):
+    return rename(fpath, datetime.datetime.fromtimestamp(os.path.getmtime(fpath)).strftime("%Y-%m-%d_%H:%M:%S:%f"))
 
 def image_resize(image, width = None, height = None, inter = cv2.INTER_AREA):
     # initialize the dimensions of the image to be resized and