NICE! MagnificentSeaurchin79 could you PR this fix?

I don't understand what I'm doing wrong..how are you supposed to call the remove_files function?

if I change line 217 in dataset.py :
fnmatch(k, '*/'+ wildcard)for
fnmatch(k, wildcard)then it works :-)

sure, but I don't know if this doesn't break something else

it's my first PR to an opensource project 😁

and in the plots section:

but I don't see any change...where is the link to the file removed from

In the meta data section, check the artifacts "state" object

How are these two datasets different?

Like comparing two experiments :)

is this ok?

MagnificentSeaurchin79 are you using the latest RC ?
(I think this was exactly the issue)
EDIT:
try to create the version withe the file removed after you upgrade to the latest RC (0.17.5rc3) in the summary you should see 1 file removed.

Thanks!
I think this one will cover both case (the issue is with files on the root of the dataset)
if not (fnmatch(k, path) and fnmatch(k if '/' in k else '/{}'.format(k), '*/' + wildcard))}

if I list_files the new dataset, I see the same files 😕

https://github.com/allegroai/clearml/pull/303

Thanks!

but I don't see any change...where is the link to the file removed from?
How are these two datasets different?
Thanks 🙂

are you planning on changing to f-strings incrementally?

You are doing great 🙂 don't worry about it

ah, I see master is the same as 0.17.5rc3

I did, but I still have the same issue..

tglema@mvd0000xlrndtl2 clearml-src

git:(28b8502) ✗

git status
HEAD detached at 0.17.5rc3

I did a python setup.py develop, and ran the script:
` from clearml import Dataset

dataset = Dataset.create(dataset_project='test', dataset_name='example')
dataset.add_files('/home/tglema/example.jpeg')
dataset.add_files('/home/tglema/logo.png')
print(dataset.list_files())
dataset.upload()
dataset.finalize()

dataset_new = Dataset.create(dataset_project='test', dataset_name='example_without_logo', parent_datasets=[dataset.id] )
print(dataset_new.list_files())
print(dataset_new.remove_files('logo.png'))
print(dataset_new.list_removed_files())
dataset_new.upload()
dataset_new.finalize() `and this is the output

['example.jpeg', 'logo.png']
Uploading compressed dataset changes (2 files, total 49.07 KB) to

Upload completed (49.07 KB)
2021-02-05 17:04:38,333 - clearml.Task - INFO - Waiting to finish uploads
2021-02-05 17:04:38,334 - clearml.Task - INFO - Finished uploading
!!!!!!!!!!!!!!!
!!!!!!!!!!!!!!!
['example.jpeg', 'logo.png']
0
[]
2021-02-05 17:04:41,339 - clearml - INFO - No pending files, skipping upload.
2021-02-05 17:04:41,935 - clearml.Task - INFO - Waiting to finish uploads
2021-02-05 17:04:41,935 - clearml.Task - INFO - Finished uploading
!!!!!!!!!!!!!!!
!!!!!!!!!!!!!!!

(I added the print('!'*15) to check that it was using that module)

Please go ahead with the PR 🙂

so how do I make a PR? 😅
I don't have write access..

Hi MagnificentSeaurchin79
Yes this is a bit confusing 🙂
Datasets are stored as delta changes from parent versions.

A dataset contains a list of files and list of artifacts where these files exist. This means that if we add a new file to a dataset we create a new dataset from a parent dataset and want to add a file, we have to add a link to the file, and have a new artifact containing just the delta (i.e. the new file) from the parent version When you delete a file you just remove the link to the file (no need to change the parent zip)
Make sense ?

btw: Make sure you are using the latest RC (I think we fixed a bug in some edge case I can't remeber regrading Datasets)

are you planning on changing to f-strings incrementally?

There is still py 2.7 & 3.5 support...
Hopefully we will be able to drop both (apparently enough users have legacy code), then we will probably switch to the nicer f' strings 🙂

ah, I see..so I do it in master or in 0.17.5rc3?

but I like f-strings better

example

awesome! will you do the PR or should I?

INHO, the remove_files('logo.png') shouldn't return 0..and I think the problem is that the file passed as argument is not correctly matched with the files stored in the dataset.

Oh, fork the repository (this will create a copy on your GitHub account), this is done from GitHub's web page
Then commit to your repository (on the master branch)
Then in the GitHub page of the repository on your account, you will have a green button suggesting you to PR it 🙂

Thanks MagnificentSeaurchin79 ! This code snippet is exactly what I needed, let me check if I can reproduce it.

I left it as you wrote it