* Only add zoom options if camera device has the actual physical devices
* Fix mock
* Add mocks to unit test
* Revert "Add mocks to unit test"
This reverts commit 0738d2b115.
* Optional chaining
* Alternative return for match screen in absence of suggestion
* Add lower part text elements
* Add margin at bottom
* Copy code to make a new suggestions scrll for iconic taxa
* Removing not needed properties of the copied code
* Remove log
* Remove width constraints
* Add a state to track selected iconic taxon
* Comment and code style
* Pass prop down to taxa scroll
* Use new props in iconic taxa scroll
* Color border according to selected state
* Use iconic taxon as top ID if none given
* Remove testing code
* Update Match.test.js
* Build UI for loading state between AI->Match
* Make designs for AI loading screen match Figma
* Selective changes from bf872e2d4f
* Selective changes from 9ed81f99c7
* Selective changes from 4bc7c3474f
* Selective changes from 4916cf70fb
* Replace loading state from store with props
* Add some types
* Make component agnostic of what skipping does
* Remove debug info
* Add more debug data
* Elongate loading state if online errors out and offline is still loading in sequence
* Remove underline
This classname had no effect as far as I can tell.
* Hide skip button when it has no function
* Remove a comment that slipped through partial cherry-picking
* Split apart online and offline fetch status
Weird but even though they start in sequence it happened to me that online error was received after offline was fetched successfully. So, Let's split apart online and offline loading state.
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Co-authored-by: Amanda Bullington <albullington@gmail.com>
We are not sure if this screen will stay like this so this seems to me to be a better way. We are just expanding the interface to allow a customization that is already possible to pass through. Instead of adding a new "largeText" mode.
* Use unrestricted commonAncestorRankType for offline predictions from file
* The plugin provides an interface for this
* Fix type error
* Add missing type
* The iconic taxon is no longer part of the predictions result
If we use common ancestor rollup mode the ancestor taxa are no longer included in the result (which in turn are the top 10 species predictions). So, we have to get the iconic taxon name for each result in a different manner.
* Not needed as results are returned with highest score first
* Remove number wrapper
* Update comment
* There is no special offline not-confident criterion
This now returns common ancestor as top ID in case there is none over the threshold. So, same as online.
* No distinction between debug types
* Update ModelPrediction.js
* This is actually redundant
* Offline suggestions need to be sorted same as online
* Should not have removed the export
* Update comments
* Removes location picker from match screen, fetches user location and reloads suggestions instead
* fix variable name
* Remove unused prop
* changes requested, changes to fetching place guess, changes to refetch offline
* Close permission gate when permissions denied initially
* change toggle to set in reducer
* add optional chaining to location values
* Add optional chaining for place name
* Closing on initial block optional
The function of closing the permission gate on pressing the initial block button was as far as I can see only scoped to the Match container.
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Co-authored-by: Johannes Klein <johannes.t.klein@gmail.com>
* Show simple my obs header only for logged-in users
* ActivityCount TS
* CommentsCount TS
* IdentificationsCount TS
* ObsStatus TS initial pass not looking at errors
* QualityGradeStatus TS
* Update RealmObservation interface
* Update RealmObservation interface
* ObsUploadStatus TS, plain copy, no errors yet
* Update types
* Update type
* IconicTaxonIcon TS
* ObsImage TS
* PhotoCount TS
* ObsImagePreview TS
* Image is only opaque when logged in
* DateDisplay TS
* Remove debug flag from UploadObsStatus
* Update type
* Prop to hide ObsUploadStatus
* Test observations need those otherwise they appear as needing edit
* Update imports
This is likely no longer necessary now that offline scoring is based on common ancestor rollup instead of best branch. If we want to have a rank ceiling, it can be in filterSuggestions or at the UI level, applying both to offline and vision api results.
