You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
There are a lot of pinned dependencies in the created django project, most of which I cannot identify in use.
This seems a bit of a heavy handed pre-optimisation as the requirements file then does not communicate (to a developer) what genuine dependencies the project has.
I acknowledge I may have missed the point here, so posting issue to be corrected as much as to improve the template.
If the intent was just to ensure that all package versions are pinned if they are used, maybe we could use piptools to compile the base requirements.txt from a requirements.in? That way the genuine requirements would remain visible.
The text was updated successfully, but these errors were encountered:
If the intent was just to ensure that all package versions are pinned if they are used, maybe we could use piptools to compile the base requirements.txt from a requirements.in? That way the genuine requirements would remain visible.
There are a lot of pinned dependencies in the created django project, most of which I cannot identify in use.
This seems a bit of a heavy handed pre-optimisation as the requirements file then does not communicate (to a developer) what genuine dependencies the project has.
As an example, the wagtail section of base.txt:
I acknowledge I may have missed the point here, so posting issue to be corrected as much as to improve the template.
If the intent was just to ensure that all package versions are pinned if they are used, maybe we could use piptools to compile the base
requirements.txt
from arequirements.in
? That way the genuine requirements would remain visible.The text was updated successfully, but these errors were encountered: