Zulip converts :) to the 1F642 Unicode emoji and promotes the same emoji
in the popular section of the emoji picker.
Previously Zulip has labeled 1F642 as "slight smile". While that name
conforms to the Unicode standard (which describes the code point as
SLIGHTLY SMILING FACE), it didn't match our use case of the emoji.
If a user types :) or selects the first smile in the emoji picker they
probably mean to express a regular "smile" and not a "slight smile",
which raises the question why they are only smiling slightly.
This commit relabels 1F642 as 😄 and our previous 😄 263A as
:smiling_face:. Note that 263A looks different in our three supported
emoji sets, so it is not suited to be our "default smile".
This change does not require a migration since our emoji system stores
both unicode points and names and handles name changes transparently.
`emoji-datasource` package v4.0.4 introduced the concept of qualified
and non-qualified emoji codes. As chat programs don't need to use
emoji representation selector, so we used migrated our infrastructure
to use non-qualified emoji codes. But we missed the fact that the
emoji file names in emoji farm are based on emoji data's 'unified'
field and the value of this field has changed. Consequently the image
file names must also have been changed. We used `emoji_code` while
converting the span tags to img tags while processing notifications.
But since now `emoji_code` refers to non-qualified code while image
file names are based on qualified code, we need to rename images
to correctly do the conversion. This commit just fixes this.
Add `translate_emoticons` to `prop_types` and `expected_keys`.
Furthermore, create a emoji-translating Markdown inline pattern.
Also use a JavaScript version of `translate_emoticons` and then use
this function during Markdown previews and as a preprocessor. This
is only needed for previews, because usually emoticon translation
happens on the backend after sending.
Add tests for emoticon translation, a settings UI, and a /help/ page
as well.
Tweaked by tabbott to fix various test failurse as well as how this
handles whitespace, requiring emoticons to not have adjacent
characters.
Fixes#1768.
Alya Abbott
Gittenburg
Rishi Gupta
Akash Nimare
Puneeth Chaganti
Harshit Bansal
Lyla Fischer
Marco Burstein