tdruez

Results 55 issues of tdruez

`django-model-utils` is only used in one place: https://github.com/django-notifications/django-notifications/blob/51677dd83654eb1f457612f1d4e04f20e59ee89a/notifications/models.py#L16 This could easily be replaced by a simple tuple https://docs.djangoproject.com/en/2.1/ref/models/fields/#choices It seems overkill to depend on a thirdparty library for this. Also,...

enhancement
version 2.0
Break change

The "DejaCode Package Identification" output has recently evolved. The identified packages are injected in the scan JSON output as a `packages` list. A `match` entry is available including the `source`...

enhancement
needs-design

Using https://files.pythonhosted.org/packages/ce/21/41a0028f6d610987c0839250357c1a00f351790b8a448c2eb323caa719ac/celery-5.2.7.tar.gz as input. With the `scan_codebase` and `root_filesystems` pipelines, 88 dependencies are created. When using the `scan_package` pipelines, no dependencies are created. Note that the "Datafile resource" `requires.txt` and...

bug

While the "License clarity" and "Scan summary" data looks great when using source distributions, the quality of the results when using wheel as inputs could be improved. For example with...

- [x] Add ability to sort columns - [x] Add missing page title - [ ] Display available filter in list views

The user should be able to define the columns he want to see on each list views (resources, packages, dependencies, errors, ...). The "Export results as XLSX" actions should only...

This is a side effect of crafting and displaying the charts at all time in that view.

bug

Current sizes: - Uncompressed: `scancodeio-images-v30.0.1.tar` - 5.15 GB - Compressed: `scancodeio-images-v30.0.1.tar.gz` - 1.76 GB Some ideas at https://testdriven.io/blog/docker-best-practices/ and https://testdriven.io/blog/dockerizing-django-with-postgres-gunicorn-and-nginx/

Those Project issues are not particularly useful and there's often too much of those. It has the bad effect of hiding more important errors that happened during pipeline runs. @pombredanne...