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Forum Discussion
ctubbs
Dropbox Staff
Dropbox StaffPython TypeError using Dropbox API move_v2function
Hi, I am trying to use the API to batch rename file. I had specific questions are around the move_v2 function:
I’m running dropbox.files.move_v2(params), where the args are from_path and to_pa...
Hey Greg,
I tried to mod your code with some other snippets I've got so that I can rename all files within a root_file_path
file_path = '/root_path_here'
dbx.users_get_current_account()
result = dbx.files_list_folder(file_path, recursive=True)
file_list = []
def process_entries(entries):
for entry in entries:
if isinstance(entry, dropbox.files.FileMetadata):
original = '/'+entry.name
modified = '/test_'+entry.name
result = dbx.files_move(from_path=original, to_path=modified)
print(result)
process_entries(result.entries)
while result.has_more:
result = dbx.files_list_folder_continue(result.cursor)
process_entries(result.entries)But am still ending up with errors. :(
Also, why do we assign the method to var: result and print?
Thanks
Luciano
Greg-DB
Dropbox Community Moderator
Dropbox Community ModeratorLRomano What errors are you getting now?
Looking at your code, I expect the issue is that you're not specifying the correct file path for the file to move. The Metadata.name that you're using is just the name of the file, not the full path. To get the full path, including any parent path components, you would need to use Metadata.path_lower instead.
Also, I saved the result to a variable and printed it in my sample code just for demonstration purposes. You can do whatever you need in your actual code.
I see, so you need the entire path for each file you iterate over.
In which case, if I'm looking to change all names of all files (which have a certain extension, say .mp4 or .png), is there a way to extract just the folder path so I can change the name of each file as a modification of its original?
Thanks :)
Edit:
Error was
process_entries(result.entries)
File "test.py", line 25, in process_entries
result = dbx.files_move(from_path=original, to_path=modified)
File "/opt/anaconda3/lib/python3.7/site-packages/dropbox/base.py", line 2398, in files_move
None,
File "/opt/anaconda3/lib/python3.7/site-packages/dropbox/dropbox.py", line 338, in request
user_message_locale)
dropbox.exceptions.ApiError: ApiError('ffb95a528b5ad351d54e7d1722f6baae', RelocationError('from_lookup', LookupError('not_found', None)))
- Greg-DB
LRomano Thanks for sharing the error. That 'from_lookup/not_found' error does indicate that the issue is that the 'from_path' value doesn't point to anything. That does seem to be because you specified just the name and not the path, as discussed.
The Metadata.path_lower value is just a string containing the path for the item, which might look something like: "/folder/another folder/file.ext".
Since that's just a string, you can operate on it however you need. For instance, you could split it on "/" and take the parts you want, modify them, and build a new path string. Or, you could use a library or module like pathlib to work with it.
Fantastic. I used rsplit with '/' and to pull the lower_path apart giving me the file's directory and the file name.
Then I was able to add some text to the beginning of the file name, concat the whole thing together to create a new_path and it works perfectly!
Thanks so much for your help. Just FYI - code below if you want it (I had a spark DF with 1000s of rows of unique data that I needed to add to the beginning of each file):
result = dbx.files_list_folder(root_path, recursive=True) index = 0 def process_entries(entries): for entry in entries: if isinstance(entry, dropbox.files.FileMetadata): path = entry.path_lower.rsplit('/', 1)[0]+'/' file = entry.path_lower.rsplit('/', 1)[1] path_original = path+file global index code = sparkDF.collect()[index][2] path_new = path+code+'_'+file print(path_original) print(path_new) move = dbx.files_move(from_path=path_original, to_path=path_new) index += 1 process_entries(result.entries) while result.has_more: result = dbx.files_list_folder_continue(result.cursor) process_entries(result.entries)
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