feat: Vision Support + New UI (#1203)

* feat: add timer duration to showToast, show toast for preset selection

* refactor: replace old /chat/ route with /c/. e2e tests will fail here

* refactor: move typedefs to root of /api/ and add a few to assistant types in TS

* refactor: reorganize data-provider imports, fix dependency cycle, strategize new plan to separate react dependent packages

* feat: add dataService for uploading images

* feat(data-provider): add mutation keys

* feat: file resizing and upload

* WIP: initial API image handling

* fix: catch JSON.parse of localStorage tools

* chore: experimental: use module-alias for absolute imports

* refactor: change temp_file_id strategy

* fix: updating files state by using Map and defining react query callbacks in a way that keeps them during component unmount, initial delete handling

* feat: properly handle file deletion

* refactor: unexpose complete filepath and resize from server for higher fidelity

* fix: make sure resized height, width is saved, catch bad requests

* refactor: use absolute imports

* fix: prevent setOptions from being called more than once for OpenAIClient, made note to fix for PluginsClient

* refactor: import supportsFiles and models vars from schemas

* fix: correctly replace temp file id

* refactor(BaseClient): use absolute imports, pass message 'opts' to buildMessages method, count tokens for nested objects/arrays

* feat: add validateVisionModel to determine if model has vision capabilities

* chore(checkBalance): update jsdoc

* feat: formatVisionMessage: change message content format dependent on role and image_urls passed

* refactor: add usage to File schema, make create and updateFile, correctly set and remove TTL

* feat: working vision support
TODO: file size, type, amount validations, making sure they are styled right, and making sure you can add images from the clipboard/dragging

* feat: clipboard support for uploading images

* feat: handle files on drop to screen, refactor top level view code to Presentation component so the useDragHelpers hook  has ChatContext

* fix(Images): replace uploaded images in place

* feat: add filepath validation to protect sensitive files

* fix: ensure correct file_ids are push and not the Map key values

* fix(ToastContext): type issue

* feat: add basic file validation

* fix(useDragHelpers): correct context issue with `files` dependency

* refactor: consolidate setErrors logic to setError

* feat: add dialog Image overlay on image click

* fix: close endpoints menu on click

* chore: set detail to auto, make note for configuration

* fix: react warning (button desc. of button)

* refactor: optimize filepath handling, pass file_ids to images for easier re-use

* refactor: optimize image file handling, allow re-using files in regen, pass more file metadata in messages

* feat: lazy loading images including use of upload preview

* fix: SetKeyDialog closing, stopPropagation on Dialog content click

* style(EndpointMenuItem): tighten up the style, fix dark theme showing in lightmode, make menu more ux friendly

* style: change maxheight of all settings textareas to 138px from 300px

* style: better styling for textarea and enclosing buttons

* refactor(PresetItems): swap back edit and delete icons

* feat: make textarea placeholder dynamic to endpoint

* style: show user hover buttons only on hover when message is streaming

* fix: ordered list not going past 9, fix css

* feat: add User/AI labels; style: hide loading spinner

* feat: add back custom footer, change original footer text

* feat: dynamic landing icons based on endpoint

* chore: comment out assistants route

* fix: autoScroll to newest on /c/ view

* fix: Export Conversation on new UI

* style: match message style of official more closely

* ci: fix api jest unit tests, comment out e2e tests for now as they will fail until addressed

* feat: more file validation and use blob in preview field, not filepath, to fix temp deletion

* feat: filefilter for multer

* feat: better AI labels based on custom name, model, and endpoint instead of  `ChatGPT`

client/src/hooks/ScreenshotContext.tsx

@@ -1,5 +1,6 @@
 import { createContext, useRef, useContext, RefObject } from 'react';
 import { toCanvas } from 'html-to-image';
+import { ThemeContext } from '~/hooks/ThemeContext';
 
 type ScreenshotContextType = {
   ref?: RefObject<HTMLDivElement>;
@@ -9,14 +10,21 @@ const ScreenshotContext = createContext<ScreenshotContextType>({});
 
 export const useScreenshot = () => {
   const { ref } = useContext(ScreenshotContext);
+  const { theme } = useContext(ThemeContext);
 
   const takeScreenShot = async (node: HTMLElement) => {
     if (!node) {
       throw new Error('You should provide correct html node.');
     }
+
+    let isDark = theme === 'dark';
+    if (theme === 'system') {
+      isDark = window.matchMedia('(prefers-color-scheme: dark)').matches;
+    }
+    const backgroundColor = isDark ? '#343541' : 'white';
     const canvas = await toCanvas(node);
     const croppedCanvas = document.createElement('canvas');
-    const croppedCanvasContext = croppedCanvas.getContext('2d');
+    const croppedCanvasContext = croppedCanvas.getContext('2d') as CanvasRenderingContext2D;
     // init data
     const cropPositionTop = 0;
     const cropPositionLeft = 0;
@@ -26,6 +34,9 @@ export const useScreenshot = () => {
     croppedCanvas.width = cropWidth;
     croppedCanvas.height = cropHeight;
 
+    croppedCanvasContext.fillStyle = backgroundColor;
+    croppedCanvasContext?.fillRect(0, 0, cropWidth, cropHeight);
+
     croppedCanvasContext?.drawImage(canvas, cropPositionLeft, cropPositionTop);
 
     const base64Image = croppedCanvas.toDataURL('image/png', 1);