Fixed a couple of bugs with search term highlighting (updated the logic to make the highlighted content follow similar logic to what terms would have actually matched)
Fixed a bug where info messages in search results weren't rendering correctly
Shifted some duplicate query code for global search into variables
Fixed a small bug where sending attachments could incorrectly result in the mentions UI being visible
Fixed a bug where quote content was appearing incorrectly
Consolidated the ShareExtension Item and the ConversationCell.ViewModel into one type (with a more-limited query) to remove duplicate code
Added back a missing asset (deleted a long time ago)
Fixed up quote attachment sending and retrieval
Validated attachment sending and retrieving is working correctly
Re-added the AttachmentUploadJob migration
Refactored the SignalApp class to Swift
Fixed a horizontal alignment issue in the ConversationTitleView
Fixed an issue where expiration timer update messages weren't migrated or rendering correctly
Fixed an issue where expiring messages weren't migrated correctly
Fixed an issue where closed groups which had been left were causing migration failures (due to data incorrectly being assumed to be required)
Shifted the Legacy Attachment types into the 'SMKLegacy' namespace
Moved all of the NSCoding logic for the TSMessage
Refactored the AppDelegate from Objective C to Swift
Updated the HomeVC to use GRDB
Refactored a number of the Job types to be driven via GRDB and the new JobRunner
Fixed a bug where the LinkPreviewView wouldn't render correctly in dark mode
Added the rest of the interaction structure to the database (testing some migration logic now - still needs to be finalised)
Updated the YDBToGRDB migrations to wrap their inserts in autorelease pools (helps memory slightly, unfortunately it's caching the YDB data which uses the most memory but we have opted for speed over RAM at the moment)
Updated the MockDataGenerator so it should now "chunk" the code generation (crazy large figures were previously resulting in excessive memory usage)