Adds a temporary user_preference key, DARK_LANGUAGE_KEY, to hold the user's dark lang preference.
This preference key is deleted when ?clear-lang is placed in query params.
* Add a new cookie for user information
* Make marketing cookie names configurable.
* Handle URL reversal when URLs don't exist (in Studio)
* Move cookie code from student/helpers.py into its own module.
Updated styling for basic capa problems (multiple choice, dropdown, checkboxes, numerical input and text input) including support for mobile app experience.
This is primarily to reduce load on MongoDB, where we've lately
had performance problems that we suspect are caused by very
large course structures being evicted from MongoDB's cache. This
may potentially give us a path to better performance as well,
but that's not the goal of this commit.
Surprisingly, LZ4 seemed to actually run more slowly than zlib
for this. Possibly because of some overhead in the Python
bindings? GZip was also surprisingly slow given that it uses
zlib underneath (something like 5x slower).
Use separate cache backend for caching structures.
Abstract out course structure cache.
add datadog metrics for compressed course structure sizes
Since we're using a different cache background, we don't need to have a cache prefix
Use dummy cache backend for tests.
Fallback to default cache if course_structure_cache doesn't exist.
There were two helper methods that set the marketing site
"logged in" cookie. This commit deletes one of them
and ensures that all callers are using the other one.
This is primarily to reduce load on MongoDB, where we've lately
had performance problems that we suspect are caused by very
large course structures being evicted from MongoDB's cache. This
may potentially give us a path to better performance as well,
but that's not the goal of this commit.
Surprisingly, LZ4 seemed to actually run more slowly than zlib
for this. Possibly because of some overhead in the Python
bindings? GZip was also surprisingly slow given that it uses
zlib underneath (something like 5x slower).
Use separate cache backend for caching structures.
Abstract out course structure cache.
add datadog metrics for compressed course structure sizes
Since we're using a different cache background, we don't need to have a cache prefix
Use dummy cache backend for tests.
Fallback to default cache if course_structure_cache doesn't exist.
