diff --git a/backend/.env.example b/backend/.env.example index e69de29..bdc89d1 100644 --- a/backend/.env.example +++ b/backend/.env.example @@ -0,0 +1,4 @@ +GOOGLE_API_KEY= +ADMIN_ACCESS=true +SUPABASE_URL= +SUPABASE_KEY= diff --git a/backend/app/controllers/image.py b/backend/app/controllers/image.py index 983093f..def61f8 100644 --- a/backend/app/controllers/image.py +++ b/backend/app/controllers/image.py @@ -1,13 +1,79 @@ import logging -from fastapi import APIRouter, HTTPException +from fastapi import APIRouter, BackgroundTasks, Header, HTTPException from app.models.image import ImageGenerationRequest, ImageGenerationResponse from app.services.image import ImageService +from app.utils.database import db_client +from app.utils.storage import save_image_pair_to_db, upload_image_to_storage log = logging.getLogger(__name__) +async def save_images_to_database( + authorization: str, + project_id: str, + input_image_data: str, + output_image_data: str, + prompt_text: str, +): + """ + Background task to upload images to storage and save the pair to database. + """ + try: + log.info(f"Starting background task to save images for project {project_id}") + + # Skip if no input image data (can't save without input) + if not input_image_data: + log.warning("No input image data provided, skipping database save") + return + + # Extract token from authorization header + token = authorization.replace("Bearer ", "") if authorization else "" + + # Get database client + supabase_client = await db_client(token=token) + + # Upload input image to storage + input_url, input_mime_type, input_width, input_height = ( + await upload_image_to_storage( + supabase_client=supabase_client, + image_data=input_image_data, + folder="image_pairs/input", + ) + ) + + # Upload output image to storage + output_url, output_mime_type, output_width, output_height = ( + await upload_image_to_storage( + supabase_client=supabase_client, + image_data=output_image_data, + folder="image_pairs/output", + ) + ) + + # Save image pair to database + await save_image_pair_to_db( + supabase_client=supabase_client, + project_id=project_id, + input_url=input_url, + input_mime_type=input_mime_type, + input_width=input_width, + input_height=input_height, + output_url=output_url, + output_mime_type=output_mime_type, + output_width=output_width, + output_height=output_height, + prompt_text=prompt_text, + ) + + log.info(f"Successfully saved image pair for project {project_id}") + + except Exception as e: + log.error(f"Error in background task save_images_to_database: {e}") + # Don't raise - background tasks should not affect the response + + class ImageController: def __init__(self, service: ImageService): self.router = APIRouter() @@ -23,6 +89,8 @@ def setup_routes(self): ) async def generate_image( input: ImageGenerationRequest, + background_tasks: BackgroundTasks, + authorization: str = Header(None), ) -> ImageGenerationResponse: log.info(f"Generating image with prompt: {input.prompt}") try: @@ -30,6 +98,17 @@ async def generate_image( input=input ) log.info("Image generation completed successfully") + + # Add background task to save images to database + background_tasks.add_task( + save_images_to_database, + authorization=authorization, + project_id=input.project_id, + input_image_data=input.image_data, + output_image_data=response.image_data, + prompt_text=input.prompt, + ) + return response except ValueError as e: log.error(f"Validation error: {e}") diff --git a/backend/app/models/image.py b/backend/app/models/image.py index f1a0c41..6d5147f 100644 --- a/backend/app/models/image.py +++ b/backend/app/models/image.py @@ -9,6 +9,9 @@ class ImageGenerationRequest(BaseModel): default=None, description="Optional base64 encoded image data to use as input for image generation.", ) + project_id: str = Field( + description="The project ID to associate with this image pair." + ) class ImageGenerationResponse(BaseModel): diff --git a/backend/app/services/image.py b/backend/app/services/image.py index 447cac7..9a551c0 100644 --- a/backend/app/services/image.py +++ b/backend/app/services/image.py @@ -29,7 +29,10 @@ async def generate_image( """ log.info(f"Generating image with prompt: {input.prompt}") - prompt = f"Generate an whiteboard drawingimage based on the following prompt and the reference image: {input.prompt}" + prompt = f"""Generate a drawing image based on the following prompt and the reference image. + The image background should match the reference image background. You are just drawing diagrams, so make sure you are not over verbose. + But if there are paragraphs in the image, you should keep them there. + Prompt: {input.prompt}""" # Prepare reference image if provided reference_image = None diff --git a/backend/app/utils/__init__.py b/backend/app/utils/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/app/utils/database.py b/backend/app/utils/database.py new file mode 100644 index 0000000..81b4619 --- /dev/null +++ b/backend/app/utils/database.py @@ -0,0 +1,65 @@ +import logging +import os +import uuid + +from supabase import AsyncClientOptions + +# from supabase import AsyncClientOptions +from supabase._async.client import AsyncClient as Client +from supabase._async.client import create_client + +# Import config to ensure environment variables are loaded + +log = logging.getLogger(__name__) + + +def is_valid_uuid(value): + try: + uuid.UUID(str(value)) + return True + except ValueError: + return False + + +def _get_required_env_var(var_name: str) -> str: + """Get a required environment variable with proper error handling.""" + value = os.environ.get(var_name) + if not value: + raise ValueError( + f"Required environment variable '{var_name}' is not set or is empty" + ) + return value + + +async def db_client( + token: str, +) -> Client: + try: + supabase_url = _get_required_env_var("SUPABASE_URL") + supabase_key = _get_required_env_var("SUPABASE_KEY") + except ValueError as e: + log.error(f"Failed to load required environment variables: {e}") + raise + + """ + Note that if we set ADMIN_ACCESS to true, there won't be an org_id associated with the db request, which might be a cause of problem when the entry requires org_id to be non-null. + """ + + # Development + if os.environ.get("ADMIN_ACCESS") == "true": + return await create_client( + supabase_url=supabase_url, + supabase_key=supabase_key, + ) + + # Production + return await create_client( + supabase_url=supabase_url, + supabase_key=supabase_key, + options=AsyncClientOptions( + headers={ + "Authorization": f"Bearer {token}", + "apiKey": supabase_key, + } + ), + ) diff --git a/backend/app/utils/storage.py b/backend/app/utils/storage.py new file mode 100644 index 0000000..e5acf8f --- /dev/null +++ b/backend/app/utils/storage.py @@ -0,0 +1,117 @@ +import base64 +import logging +import uuid +from io import BytesIO +from typing import Tuple + +from PIL import Image +from supabase._async.client import AsyncClient as Client + +log = logging.getLogger(__name__) + + +async def upload_image_to_storage( + supabase_client: Client, + image_data: str, + bucket_name: str = "whisprdraw", + folder: str = "image_pairs", +) -> Tuple[str, str, int, int]: + """ + Upload a base64 encoded image to Supabase storage. + + Args: + supabase_client: The Supabase client instance + image_data: Base64 encoded image data + bucket_name: The name of the storage bucket + folder: The folder path within the bucket + + Returns: + Tuple of (public_url, mime_type, width, height) + """ + try: + # Decode base64 image + image_bytes = base64.b64decode(image_data) + image = Image.open(BytesIO(image_bytes)) + + # Get image properties + width, height = image.size + mime_type = f"image/{image.format.lower()}" if image.format else "image/png" + + # Generate unique filename + file_extension = image.format.lower() if image.format else "png" + filename = f"{folder}/{uuid.uuid4()}.{file_extension}" + + # Upload to Supabase storage + response = await supabase_client.storage.from_(bucket_name).upload( + path=filename, + file=image_bytes, + file_options={"content-type": mime_type}, + ) + + # Get public URL + public_url_response = await supabase_client.storage.from_( + bucket_name + ).get_public_url(filename) + + log.info(f"Successfully uploaded image to {public_url_response}") + return public_url_response, mime_type, width, height + + except Exception as e: + log.error(f"Error uploading image to storage: {e}") + raise RuntimeError(f"Failed to upload image: {e}") + + +async def save_image_pair_to_db( + supabase_client: Client, + project_id: str, + input_url: str, + input_mime_type: str, + input_width: int, + input_height: int, + output_url: str, + output_mime_type: str, + output_width: int, + output_height: int, + prompt_text: str, + metadata: dict = None, +): + """ + Save an image pair record to the database. + + Args: + supabase_client: The Supabase client instance + project_id: The project ID + input_url: URL to the input image + input_mime_type: MIME type of the input image + input_width: Width of the input image + input_height: Height of the input image + output_url: URL to the output/generated image + output_mime_type: MIME type of the output image + output_width: Width of the output image + output_height: Height of the output image + prompt_text: The prompt used for generation + metadata: Optional metadata dictionary + """ + try: + data = { + "project_id": project_id, + "input_url": input_url, + "input_mime_type": input_mime_type, + "input_width": input_width, + "input_height": input_height, + "output_url": output_url, + "output_mime_type": output_mime_type, + "output_width": output_width, + "output_height": output_height, + "prompt_text": prompt_text, + "metadata": metadata, + } + + response = await supabase_client.table("image_pairs").insert(data).execute() + + log.info(f"Successfully saved image pair to database: {response.data}") + return response.data + + except Exception as e: + log.error(f"Error saving image pair to database: {e}") + raise RuntimeError(f"Failed to save image pair: {e}") diff --git a/backend/poetry.lock b/backend/poetry.lock index 5c2afef..b57fc59 100644 --- a/backend/poetry.lock +++ b/backend/poetry.lock @@ -118,6 +118,104 @@ files = [ {file = "certifi-2025.4.26.tar.gz", hash = "sha256:0a816057ea3cdefcef70270d2c515e4506bbc954f417fa5ade2021213bb8f0c6"}, ] +[[package]] +name = "cffi" +version = "2.0.0" +description = "Foreign Function Interface for 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b/backend/pyproject.toml index 6eda5e2..1bf8413 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -15,6 +15,7 @@ dependencies = [ "python-dotenv (>=1.1.0,<2.0.0)", "google-genai (>=1.0.0,<2.0.0)", "pillow (>=11.0.0,<12.0.0)", + "supabase (>=2.22.0,<3.0.0)", ] [tool.poetry] diff --git a/frontend/public/test.png b/frontend/public/test.png new file mode 100644 index 0000000..2e6301f Binary files /dev/null and b/frontend/public/test.png differ diff --git a/frontend/src/actions/image.ts b/frontend/src/actions/image.ts new file mode 100644 index 0000000..4d6247a --- /dev/null +++ b/frontend/src/actions/image.ts @@ -0,0 +1,30 @@ +'use client'; + +export interface GenerateImageRequest { + prompt: string; + image_data?: string | null; + project_id: string; +} + +export interface GenerateImageResponse { + image_data: string; + text_response?: string; +} + +export async function generateImage(request: GenerateImageRequest): Promise { + const apiUrl = process.env.NEXT_PUBLIC_API_URL || 'http://localhost:8080'; + const response = await fetch(`${apiUrl}/api/generate-image`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + }, + body: JSON.stringify(request), + }); + + if (!response.ok) { + const errorData = await response.json(); + throw new Error(errorData.detail || 'Failed to generate image'); + } + + return response.json(); +} diff --git a/frontend/src/app/page.tsx b/frontend/src/app/page.tsx index 8b363f1..2acb3d0 100644 --- a/frontend/src/app/page.tsx +++ b/frontend/src/app/page.tsx @@ -1,15 +1,12 @@ 'use client'; -import Image from 'next/image'; +import { useCallback, useEffect, useRef, useState } from 'react'; -import { useEffect, useRef, useState } from 'react'; - -import { Mic, MicOff } from 'lucide-react'; +import { generateImage } from '@/actions/image'; import { Tldraw, createShapeId } from 'tldraw'; import 'tldraw/tldraw.css'; -import { Button } from '@/components/ui/button'; -import { Input } from '@/components/ui/input'; +import { ImageSidebar } from '@/components/canvas/image-sidebar'; // Extend Window interface for Speech Recognition API interface WindowWithSpeechRecognition extends Window { @@ -26,6 +23,12 @@ export default function Home() { const [transcript, setTranscript] = useState(''); const [error, setError] = useState(null); const [frameId, setFrameId] = useState(null); + const [imageUsed, setImageUsed] = useState(false); + const [projectId] = useState(() => { + // Generate a UUID for the project session + return '6e8dec9f-4d2c-4b7e-9053-28e5ebe4aeb9'; + //return crypto.randomUUID(); + }); // eslint-disable-next-line @typescript-eslint/no-explicit-any const recognitionRef = useRef(null); // eslint-disable-next-line @typescript-eslint/no-explicit-any @@ -93,6 +96,158 @@ export default function Home() { } }; + const handleAcceptImage = useCallback(async () => { + if (!editorRef.current || !frameId || !generatedImage) { + setError('Canvas not ready or no image available'); + return; + } + + try { + const editor = editorRef.current; + const frame = editor.getShape(frameId); + + if (!frame) { + setError('Frame not found'); + return; + } + + // Convert base64 to data URL + const dataUrl = `data:image/png;base64,${generatedImage}`; + + // Get image dimensions + const img = document.createElement('img'); + const imageLoadPromise = new Promise<{ width: number; height: number }>((resolve, reject) => { + img.onload = () => resolve({ width: img.width, height: img.height }); + img.onerror = reject; + }); + img.src = dataUrl; + const { width: imageWidth, height: imageHeight } = await imageLoadPromise; + + // Create asset ID with the required "asset:" prefix + // eslint-disable-next-line @typescript-eslint/no-explicit-any + const assetId = `asset:${createShapeId()}` as any; + + // Create the asset + editor.createAssets([ + { + id: assetId, + type: 'image', + typeName: 'asset', + props: { + name: 'test.png', + src: dataUrl, + w: imageWidth, + h: imageHeight, + mimeType: 'image/png', + isAnimated: false, + }, + meta: {}, + }, + ]); + + // Get frame dimensions + const frameProps = frame.props as { w: number; h: number }; + + // Calculate scaled dimensions to fit in frame + const maxWidth = frameProps.w * 0.8; + const maxHeight = frameProps.h * 0.8; + const scale = Math.min(maxWidth / imageWidth, maxHeight / imageHeight, 1); + const scaledWidth = imageWidth * scale; + const scaledHeight = imageHeight * scale; + + // Calculate position to center the image within the frame + // Since we're using parentId, coordinates are relative to the frame's origin (0,0) + const imageX = (frameProps.w - scaledWidth) / 2; + const imageY = (frameProps.h - scaledHeight) / 2; + + // Create the image shape + const imageShapeId = createShapeId(); + editor.createShapes([ + { + id: imageShapeId, + type: 'image', + x: imageX, + y: imageY, + parentId: frameId, + props: { + w: scaledWidth, + h: scaledHeight, + assetId: assetId, + }, + }, + ]); + + setImageUsed(true); + console.log('Image placed in frame'); + } catch (err) { + console.error('Error placing image:', err); + setError(err instanceof Error ? err.message : 'Failed to place image'); + } + }, [frameId, generatedImage]); + + const handleRejectImage = useCallback(() => { + setImageUsed(true); + console.log('Image rejected'); + }, []); + + // Keyboard shortcuts for Accept/Reject + useEffect(() => { + const handleKeyDown = (e: KeyboardEvent) => { + // Only trigger if buttons are visible + if (imageUsed || !generatedImage) return; + + if (e.key === 'Tab') { + e.preventDefault(); + handleAcceptImage(); + } else if (e.key === 'Escape') { + e.preventDefault(); + handleRejectImage(); + } + }; + + window.addEventListener('keydown', handleKeyDown); + return () => window.removeEventListener('keydown', handleKeyDown); + }, [imageUsed, generatedImage, handleAcceptImage, handleRejectImage]); + + const exportCanvasImage = async (): Promise => { + if (!editorRef.current || !frameId) return null; + + const editor = editorRef.current; + const frame = editor.getShape(frameId); + + if (!frame) return null; + + // Get all shapes that are children of the frame + const childShapeIds = editor.getSortedChildIdsForParent(frameId).filter((id: string) => { + const shape = editor.getShape(id); + return shape && !shape.isLocked; + }); + + // Include the frame itself and all its children for export + const shapeIdsToExport = [frameId, ...childShapeIds]; + + if (shapeIdsToExport.length === 0) return null; + + // Export only the frame and its contents to PNG + const { blob } = await editor.toImage(shapeIdsToExport, { + format: 'png', + background: true, + padding: 0, + }); + + // Convert blob to base64 + return new Promise((resolve, reject) => { + const reader = new FileReader(); + reader.onloadend = () => { + const base64data = reader.result as string; + // Remove the data:image/png;base64, prefix + resolve(base64data.split(',')[1]); + }; + reader.onerror = reject; + reader.readAsDataURL(blob); + }); + }; + const handleGenerate = async () => { if (!transcript.trim()) { setError('Please provide a voice prompt first'); @@ -103,67 +258,16 @@ export default function Home() { setError(null); try { - // Export the canvas as base64 image - let canvasImageData: string | null = null; - - if (editorRef.current && frameId) { - const editor = editorRef.current; - const frame = editor.getShape(frameId); - - if (frame) { - // Get all shapes that are children of the frame - const childShapeIds = editor.getSortedChildIdsForParent(frameId).filter((id: string) => { - const shape = editor.getShape(id); - return shape && !shape.isLocked; - }); - - // Include the frame itself and all its children for export - const shapeIdsToExport = [frameId, ...childShapeIds]; - - if (shapeIdsToExport.length > 0) { - // Export only the frame and its contents to PNG - const { blob } = await editor.toImage(shapeIdsToExport, { - format: 'png', - background: true, - padding: 0, - }); - - // Convert blob to base64 - await new Promise((resolve, reject) => { - const reader = new FileReader(); - reader.onloadend = () => { - const base64data = reader.result as string; - // Remove the data:image/png;base64, prefix - canvasImageData = base64data.split(',')[1]; - resolve(null); - }; - reader.onerror = reject; - reader.readAsDataURL(blob); - }); - } - } - } + const canvasImageData = await exportCanvasImage(); - // Call the backend API - const apiUrl = process.env.NEXT_PUBLIC_API_URL || 'http://localhost:8080'; - const response = await fetch(`${apiUrl}/api/generate-image`, { - method: 'POST', - headers: { - 'Content-Type': 'application/json', - }, - body: JSON.stringify({ - prompt: transcript, - image_data: canvasImageData, - }), + const data = await generateImage({ + prompt: transcript, + image_data: canvasImageData, + project_id: projectId, }); - if (!response.ok) { - const errorData = await response.json(); - throw new Error(errorData.detail || 'Failed to generate image'); - } - - const data = await response.json(); setGeneratedImage(data.image_data); + setImageUsed(false); // Reset when new image is generated if (data.text_response) { console.log('Model response:', data.text_response); @@ -185,6 +289,9 @@ export default function Home() {
{ editorRef.current = editor; @@ -236,80 +343,20 @@ export default function Home() {
{/* Right Sidebar - Generated Image & Controls */} -
- {/* Generated Image Display */} -
- -
- {generatedImage ? ( - Generated - ) : ( - No image generated yet - )} -
-
- - {/* Divider */} -
- - {/* Text Input */} -
- - setTranscript(e.target.value)} - className="w-full bg-white" - /> -
- - {/* Microphone Control */} -
- - -
- - {/* Error Display */} - {error && ( -
- {error} -
- )} - - {/* Generate Button */} - - - {/* Spacer */} -
-
+
); } diff --git a/frontend/src/components/canvas/image-sidebar.tsx b/frontend/src/components/canvas/image-sidebar.tsx new file mode 100644 index 0000000..b830cf4 --- /dev/null +++ b/frontend/src/components/canvas/image-sidebar.tsx @@ -0,0 +1,131 @@ +'use client'; + +import Image from 'next/image'; + +import { Mic, MicOff } from 'lucide-react'; + +import { Button } from '@/components/ui/button'; +import { Input } from '@/components/ui/input'; + +interface ImageSidebarProps { + generatedImage: string | null; + imageUsed: boolean; + transcript: string; + isListening: boolean; + isGenerating: boolean; + error: string | null; + onTranscriptChange: (value: string) => void; + onToggleListening: () => void; + onGenerate: () => void; + onAcceptImage: () => void; + onRejectImage: () => void; + canvasReady: boolean; +} + +export function ImageSidebar({ + generatedImage, + imageUsed, + transcript, + isListening, + isGenerating, + error, + onTranscriptChange, + onToggleListening, + onGenerate, + onAcceptImage, + onRejectImage, + canvasReady, +}: ImageSidebarProps) { + return ( +
+ {/* Generated Image Display */} +
+ +
+ {generatedImage ? ( + Generated + ) : ( + No image generated yet + )} +
+ {!imageUsed && generatedImage && ( +
+ + +
+ )} +
+ + {/* Divider */} +
+ + {/* Text Input */} +
+ + onTranscriptChange(e.target.value)} + className="w-full bg-white text-black" + /> +
+ + {/* Microphone Control */} +
+ + +
+ + {/* Error Display */} + {error && ( +
+ {error} +
+ )} + + {/* Generate Button */} + + + {/* Spacer */} +
+
+ ); +}