732 lines
26 KiB
TypeScript
732 lines
26 KiB
TypeScript
import {
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BaseBoxShapeUtil,
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Geometry2d,
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HTMLContainer,
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Rectangle2d,
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TLBaseShape,
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} from "tldraw"
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import React, { useState } from "react"
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import { getRunPodConfig } from "@/lib/clientConfig"
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import { aiOrchestrator, isAIOrchestratorAvailable } from "@/lib/aiOrchestrator"
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// Feature flag: Set to false when AI Orchestrator or RunPod API is ready for production
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const USE_MOCK_API = false
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// Type definition for RunPod API responses
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interface RunPodJobResponse {
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id?: string
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status?: 'IN_QUEUE' | 'IN_PROGRESS' | 'STARTING' | 'COMPLETED' | 'FAILED' | 'CANCELLED'
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output?: string | {
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image?: string
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url?: string
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images?: Array<{ data?: string; url?: string; filename?: string; type?: string }>
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result?: string
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[key: string]: any
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}
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error?: string
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image?: string
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url?: string
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result?: string | {
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image?: string
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url?: string
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[key: string]: any
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}
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[key: string]: any
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}
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type IImageGen = TLBaseShape<
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"ImageGen",
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{
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w: number
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h: number
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prompt: string
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imageUrl: string | null
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isLoading: boolean
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error: string | null
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endpointId?: string // Optional custom endpoint ID
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}
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>
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// Helper function to poll RunPod job status until completion
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async function pollRunPodJob(
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jobId: string,
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apiKey: string,
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endpointId: string,
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maxAttempts: number = 60,
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pollInterval: number = 2000
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): Promise<string> {
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const statusUrl = `https://api.runpod.ai/v2/${endpointId}/status/${jobId}`
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console.log('🔄 ImageGen: Polling job:', jobId)
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for (let attempt = 0; attempt < maxAttempts; attempt++) {
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try {
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const response = await fetch(statusUrl, {
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method: 'GET',
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headers: {
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'Authorization': `Bearer ${apiKey}`
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}
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})
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if (!response.ok) {
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const errorText = await response.text()
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console.error(`❌ ImageGen: Poll error (attempt ${attempt + 1}/${maxAttempts}):`, response.status, errorText)
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throw new Error(`Failed to check job status: ${response.status} - ${errorText}`)
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}
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const data = await response.json() as RunPodJobResponse
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console.log(`🔄 ImageGen: Poll attempt ${attempt + 1}/${maxAttempts}, status:`, data.status)
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console.log(`📋 ImageGen: Full response data:`, JSON.stringify(data, null, 2))
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if (data.status === 'COMPLETED') {
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console.log('✅ ImageGen: Job completed, processing output...')
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// Extract image URL from various possible response formats
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let imageUrl = ''
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// Check if output exists at all
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if (!data.output) {
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// Only retry 2-3 times, then proceed to check alternatives
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if (attempt < 3) {
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console.log(`⏳ ImageGen: COMPLETED but no output yet, waiting briefly (attempt ${attempt + 1}/3)...`)
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await new Promise(resolve => setTimeout(resolve, 500))
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continue
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}
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// Try alternative ways to get the output - maybe it's at the top level
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console.log('⚠️ ImageGen: No output field found, checking for alternative response formats...')
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console.log('📋 ImageGen: All available fields:', Object.keys(data))
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// Check if image data is at top level
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if (data.image) {
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imageUrl = data.image
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console.log('✅ ImageGen: Found image at top level')
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} else if (data.url) {
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imageUrl = data.url
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console.log('✅ ImageGen: Found url at top level')
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} else if (data.result) {
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// Some endpoints return result instead of output
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if (typeof data.result === 'string') {
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imageUrl = data.result
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} else if (data.result.image) {
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imageUrl = data.result.image
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} else if (data.result.url) {
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imageUrl = data.result.url
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}
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console.log('✅ ImageGen: Found result field')
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} else {
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// Last resort: try to fetch output via stream endpoint (some RunPod endpoints use this)
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console.log('⚠️ ImageGen: Trying alternative endpoint to retrieve output...')
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try {
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const streamUrl = `https://api.runpod.ai/v2/${endpointId}/stream/${jobId}`
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const streamResponse = await fetch(streamUrl, {
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method: 'GET',
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headers: {
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'Authorization': `Bearer ${apiKey}`
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}
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})
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if (streamResponse.ok) {
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const streamData = await streamResponse.json() as RunPodJobResponse
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console.log('📥 ImageGen: Stream endpoint response:', JSON.stringify(streamData, null, 2))
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if (streamData.output) {
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if (typeof streamData.output === 'string') {
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imageUrl = streamData.output
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} else if (streamData.output.image) {
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imageUrl = streamData.output.image
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} else if (streamData.output.url) {
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imageUrl = streamData.output.url
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} else if (Array.isArray(streamData.output.images) && streamData.output.images.length > 0) {
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const firstImage = streamData.output.images[0]
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if (firstImage.data) {
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imageUrl = firstImage.data.startsWith('data:') ? firstImage.data : `data:image/${firstImage.type || 'png'};base64,${firstImage.data}`
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} else if (firstImage.url) {
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imageUrl = firstImage.url
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}
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}
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if (imageUrl) {
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console.log('✅ ImageGen: Found image URL via stream endpoint')
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return imageUrl
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}
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}
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}
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} catch (streamError) {
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console.log('⚠️ ImageGen: Stream endpoint not available or failed:', streamError)
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}
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console.error('❌ ImageGen: Job completed but no output field in response after retries:', JSON.stringify(data, null, 2))
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throw new Error(
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'Job completed but no output data found.\n\n' +
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'Possible issues:\n' +
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'1. The RunPod endpoint handler may not be returning output correctly\n' +
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'2. Check the endpoint handler logs in RunPod console\n' +
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'3. Verify the handler returns: { output: { image: "url" } } or { output: "url" }\n' +
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'4. For ComfyUI workers, ensure output.images array is returned\n' +
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'5. The endpoint may need to be reconfigured\n\n' +
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'Response received: ' + JSON.stringify(data, null, 2)
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)
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}
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} else {
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// Extract image URL from various possible response formats
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if (typeof data.output === 'string') {
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imageUrl = data.output
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} else if (data.output?.image) {
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imageUrl = data.output.image
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} else if (data.output?.url) {
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imageUrl = data.output.url
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} else if (data.output?.output) {
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// Handle nested output structure
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if (typeof data.output.output === 'string') {
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imageUrl = data.output.output
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} else if (data.output.output?.image) {
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imageUrl = data.output.output.image
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} else if (data.output.output?.url) {
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imageUrl = data.output.output.url
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}
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} else if (Array.isArray(data.output) && data.output.length > 0) {
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// Handle array responses
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const firstItem = data.output[0]
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if (typeof firstItem === 'string') {
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imageUrl = firstItem
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} else if (firstItem.image) {
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imageUrl = firstItem.image
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} else if (firstItem.url) {
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imageUrl = firstItem.url
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}
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} else if (data.output?.result) {
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// Some formats nest result inside output
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if (typeof data.output.result === 'string') {
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imageUrl = data.output.result
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} else if (data.output.result?.image) {
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imageUrl = data.output.result.image
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} else if (data.output.result?.url) {
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imageUrl = data.output.result.url
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}
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} else if (Array.isArray(data.output?.images) && data.output.images.length > 0) {
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// ComfyUI worker format: { output: { images: [{ filename, type, data }] } }
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const firstImage = data.output.images[0]
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if (firstImage.data) {
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// Base64 encoded image
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if (firstImage.data.startsWith('data:image')) {
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imageUrl = firstImage.data
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} else if (firstImage.data.startsWith('http')) {
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imageUrl = firstImage.data
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} else {
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// Assume base64 without prefix
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imageUrl = `data:image/${firstImage.type || 'png'};base64,${firstImage.data}`
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}
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console.log('✅ ImageGen: Found image in ComfyUI format (images array)')
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} else if (firstImage.url) {
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imageUrl = firstImage.url
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console.log('✅ ImageGen: Found image URL in ComfyUI format')
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} else if (firstImage.filename) {
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// Try to construct URL from filename (may need endpoint-specific handling)
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console.log('⚠️ ImageGen: Found filename but no URL, filename:', firstImage.filename)
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}
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}
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}
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if (!imageUrl || imageUrl.trim() === '') {
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console.error('❌ ImageGen: No image URL found in response:', JSON.stringify(data, null, 2))
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throw new Error(
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'Job completed but no image URL found in output.\n\n' +
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'Expected formats:\n' +
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'- { output: "https://..." }\n' +
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'- { output: { image: "https://..." } }\n' +
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'- { output: { url: "https://..." } }\n' +
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'- { output: ["https://..."] }\n\n' +
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'Received: ' + JSON.stringify(data, null, 2)
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)
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}
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return imageUrl
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}
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if (data.status === 'FAILED') {
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console.error('❌ ImageGen: Job failed:', data.error || 'Unknown error')
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throw new Error(`Job failed: ${data.error || 'Unknown error'}`)
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}
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// Wait before next poll
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await new Promise(resolve => setTimeout(resolve, pollInterval))
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} catch (error) {
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// If we get COMPLETED status without output, don't retry - fail immediately
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const errorMessage = error instanceof Error ? error.message : String(error)
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if (errorMessage.includes('no output') || errorMessage.includes('no image URL')) {
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console.error('❌ ImageGen: Stopping polling due to missing output data')
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throw error
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}
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// For other errors, retry up to maxAttempts
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if (attempt === maxAttempts - 1) {
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throw error
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}
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await new Promise(resolve => setTimeout(resolve, pollInterval))
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}
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}
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throw new Error('Job polling timed out')
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}
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export class ImageGenShape extends BaseBoxShapeUtil<IImageGen> {
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static override type = "ImageGen" as const
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MIN_WIDTH = 300 as const
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MIN_HEIGHT = 300 as const
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DEFAULT_WIDTH = 400 as const
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DEFAULT_HEIGHT = 400 as const
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getDefaultProps(): IImageGen["props"] {
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return {
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w: this.DEFAULT_WIDTH,
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h: this.DEFAULT_HEIGHT,
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prompt: "",
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imageUrl: null,
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isLoading: false,
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error: null,
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}
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}
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getGeometry(shape: IImageGen): Geometry2d {
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return new Rectangle2d({
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width: shape.props.w,
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height: shape.props.h,
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isFilled: true,
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})
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}
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component(shape: IImageGen) {
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const [isHovering, setIsHovering] = useState(false)
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const isSelected = this.editor.getSelectedShapeIds().includes(shape.id)
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const generateImage = async (prompt: string) => {
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console.log("🎨 ImageGen: Generating image with prompt:", prompt)
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// Clear any previous errors
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this.editor.updateShape<IImageGen>({
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id: shape.id,
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type: "ImageGen",
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props: {
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error: null,
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isLoading: true,
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imageUrl: null
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},
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})
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try {
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// Get RunPod configuration
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const runpodConfig = getRunPodConfig()
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const endpointId = shape.props.endpointId || runpodConfig?.endpointId || "tzf1j3sc3zufsy"
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const apiKey = runpodConfig?.apiKey
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// Mock API mode: Return placeholder image without calling RunPod
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if (USE_MOCK_API) {
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console.log("🎭 ImageGen: Using MOCK API mode (no real RunPod call)")
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console.log("🎨 ImageGen: Mock prompt:", prompt)
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// Simulate API delay
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await new Promise(resolve => setTimeout(resolve, 1500))
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// Use a placeholder image service
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const mockImageUrl = `https://via.placeholder.com/512x512/4F46E5/FFFFFF?text=${encodeURIComponent(prompt.substring(0, 30))}`
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console.log("✅ ImageGen: Mock image generated:", mockImageUrl)
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this.editor.updateShape<IImageGen>({
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id: shape.id,
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type: "ImageGen",
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props: {
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imageUrl: mockImageUrl,
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isLoading: false,
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error: null
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},
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})
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return
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}
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// Real API mode: Use RunPod
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if (!apiKey) {
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throw new Error("RunPod API key not configured. Please set VITE_RUNPOD_API_KEY environment variable.")
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}
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const url = `https://api.runpod.ai/v2/${endpointId}/run`
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console.log("📤 ImageGen: Sending request to:", url)
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const response = await fetch(url, {
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method: "POST",
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headers: {
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"Content-Type": "application/json",
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"Authorization": `Bearer ${apiKey}`
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},
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body: JSON.stringify({
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input: {
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prompt: prompt
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}
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})
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})
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if (!response.ok) {
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const errorText = await response.text()
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console.error("❌ ImageGen: Error response:", errorText)
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throw new Error(`HTTP error! status: ${response.status} - ${errorText}`)
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}
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const data = await response.json() as RunPodJobResponse
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console.log("📥 ImageGen: Response data:", JSON.stringify(data, null, 2))
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// Handle async job pattern (RunPod often returns job IDs)
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if (data.id && (data.status === 'IN_QUEUE' || data.status === 'IN_PROGRESS' || data.status === 'STARTING')) {
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console.log("⏳ ImageGen: Job queued/in progress, polling job ID:", data.id)
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const imageUrl = await pollRunPodJob(data.id, apiKey, endpointId)
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console.log("✅ ImageGen: Job completed, image URL:", imageUrl)
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this.editor.updateShape<IImageGen>({
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id: shape.id,
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type: "ImageGen",
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props: {
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imageUrl: imageUrl,
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isLoading: false,
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error: null
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},
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})
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} else if (data.output) {
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// Handle direct response
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let imageUrl = ''
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if (typeof data.output === 'string') {
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imageUrl = data.output
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} else if (data.output.image) {
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imageUrl = data.output.image
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} else if (data.output.url) {
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imageUrl = data.output.url
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} else if (Array.isArray(data.output) && data.output.length > 0) {
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const firstItem = data.output[0]
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if (typeof firstItem === 'string') {
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imageUrl = firstItem
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} else if (firstItem.image) {
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imageUrl = firstItem.image
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} else if (firstItem.url) {
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imageUrl = firstItem.url
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}
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}
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if (imageUrl) {
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this.editor.updateShape<IImageGen>({
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id: shape.id,
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type: "ImageGen",
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props: {
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imageUrl: imageUrl,
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isLoading: false,
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error: null
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},
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})
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} else {
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throw new Error("No image URL found in response")
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}
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} else if (data.error) {
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throw new Error(`RunPod API error: ${data.error}`)
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} else {
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throw new Error("No valid response from RunPod API")
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}
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} catch (error) {
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const errorMessage = error instanceof Error ? error.message : String(error)
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console.error("❌ ImageGen: Error:", errorMessage)
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let userFriendlyError = ''
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if (errorMessage.includes('API key not configured')) {
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userFriendlyError = '❌ RunPod API key not configured. Please set VITE_RUNPOD_API_KEY environment variable.'
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} else if (errorMessage.includes('401') || errorMessage.includes('403') || errorMessage.includes('Unauthorized')) {
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userFriendlyError = '❌ API key authentication failed. Please check your RunPod API key.'
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} else if (errorMessage.includes('404')) {
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userFriendlyError = '❌ Endpoint not found. Please check your endpoint ID.'
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} else if (errorMessage.includes('no output data found') || errorMessage.includes('no image URL found')) {
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// For multi-line error messages, show a concise version in the UI
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// The full details are already in the console
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userFriendlyError = '❌ Image generation completed but no image data was returned.\n\n' +
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'This usually means the RunPod endpoint handler is not configured correctly.\n\n' +
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'Please check:\n' +
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'1. RunPod endpoint handler logs\n' +
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'2. Handler returns: { output: { image: "url" } }\n' +
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'3. See browser console for full details'
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} else {
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// Truncate very long error messages for UI display
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const maxLength = 500
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if (errorMessage.length > maxLength) {
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userFriendlyError = `❌ Error: ${errorMessage.substring(0, maxLength)}...\n\n(Full error in console)`
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} else {
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userFriendlyError = `❌ Error: ${errorMessage}`
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}
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}
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this.editor.updateShape<IImageGen>({
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id: shape.id,
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type: "ImageGen",
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props: {
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isLoading: false,
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error: userFriendlyError
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},
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})
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}
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}
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const handleGenerate = () => {
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if (shape.props.prompt.trim() && !shape.props.isLoading) {
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generateImage(shape.props.prompt)
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this.editor.updateShape<IImageGen>({
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id: shape.id,
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type: "ImageGen",
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props: { prompt: "" },
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})
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}
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}
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return (
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<HTMLContainer
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style={{
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borderRadius: 6,
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border: "1px solid lightgrey",
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padding: 8,
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height: shape.props.h,
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width: shape.props.w,
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pointerEvents: isSelected || isHovering ? "all" : "none",
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backgroundColor: "#ffffff",
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overflow: "hidden",
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display: "flex",
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flexDirection: "column",
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gap: 8,
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}}
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onPointerEnter={() => setIsHovering(true)}
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onPointerLeave={() => setIsHovering(false)}
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>
|
||
{/* Error Display */}
|
||
{shape.props.error && (
|
||
<div
|
||
style={{
|
||
padding: "12px 16px",
|
||
backgroundColor: "#fee",
|
||
border: "1px solid #fcc",
|
||
borderRadius: "8px",
|
||
color: "#c33",
|
||
fontSize: "13px",
|
||
display: "flex",
|
||
alignItems: "flex-start",
|
||
gap: "8px",
|
||
whiteSpace: "pre-wrap",
|
||
wordBreak: "break-word",
|
||
}}
|
||
>
|
||
<span style={{ fontSize: "18px", flexShrink: 0 }}>⚠️</span>
|
||
<span style={{ flex: 1, lineHeight: "1.5" }}>{shape.props.error}</span>
|
||
<button
|
||
onClick={() => {
|
||
this.editor.updateShape<IImageGen>({
|
||
id: shape.id,
|
||
type: "ImageGen",
|
||
props: { error: null },
|
||
})
|
||
}}
|
||
style={{
|
||
padding: "4px 8px",
|
||
backgroundColor: "#fcc",
|
||
border: "1px solid #c99",
|
||
borderRadius: "4px",
|
||
cursor: "pointer",
|
||
fontSize: "11px",
|
||
flexShrink: 0,
|
||
}}
|
||
>
|
||
Dismiss
|
||
</button>
|
||
</div>
|
||
)}
|
||
|
||
{/* Image Display */}
|
||
{shape.props.imageUrl && !shape.props.isLoading && (
|
||
<div
|
||
style={{
|
||
flex: 1,
|
||
display: "flex",
|
||
alignItems: "center",
|
||
justifyContent: "center",
|
||
backgroundColor: "#f5f5f5",
|
||
borderRadius: "4px",
|
||
overflow: "hidden",
|
||
minHeight: 0,
|
||
}}
|
||
>
|
||
<img
|
||
src={shape.props.imageUrl}
|
||
alt={shape.props.prompt || "Generated image"}
|
||
style={{
|
||
maxWidth: "100%",
|
||
maxHeight: "100%",
|
||
objectFit: "contain",
|
||
}}
|
||
onError={(_e) => {
|
||
console.error("❌ ImageGen: Failed to load image:", shape.props.imageUrl)
|
||
this.editor.updateShape<IImageGen>({
|
||
id: shape.id,
|
||
type: "ImageGen",
|
||
props: {
|
||
error: "Failed to load generated image",
|
||
imageUrl: null
|
||
},
|
||
})
|
||
}}
|
||
/>
|
||
</div>
|
||
)}
|
||
|
||
{/* Loading State */}
|
||
{shape.props.isLoading && (
|
||
<div
|
||
style={{
|
||
flex: 1,
|
||
display: "flex",
|
||
flexDirection: "column",
|
||
alignItems: "center",
|
||
justifyContent: "center",
|
||
backgroundColor: "#f5f5f5",
|
||
borderRadius: "4px",
|
||
gap: 12,
|
||
}}
|
||
>
|
||
<div
|
||
style={{
|
||
width: 40,
|
||
height: 40,
|
||
border: "4px solid #f3f3f3",
|
||
borderTop: "4px solid #007AFF",
|
||
borderRadius: "50%",
|
||
animation: "spin 1s linear infinite",
|
||
}}
|
||
/>
|
||
<span style={{ color: "#666", fontSize: "14px" }}>
|
||
Generating image...
|
||
</span>
|
||
</div>
|
||
)}
|
||
|
||
{/* Empty State */}
|
||
{!shape.props.imageUrl && !shape.props.isLoading && (
|
||
<div
|
||
style={{
|
||
flex: 1,
|
||
display: "flex",
|
||
alignItems: "center",
|
||
justifyContent: "center",
|
||
backgroundColor: "#f5f5f5",
|
||
borderRadius: "4px",
|
||
color: "#999",
|
||
fontSize: "14px",
|
||
}}
|
||
>
|
||
Generated image will appear here
|
||
</div>
|
||
)}
|
||
|
||
{/* Input Section */}
|
||
<div
|
||
style={{
|
||
display: "flex",
|
||
gap: 8,
|
||
pointerEvents: isSelected || isHovering ? "all" : "none",
|
||
}}
|
||
>
|
||
<input
|
||
style={{
|
||
flex: 1,
|
||
height: "36px",
|
||
backgroundColor: "rgba(0, 0, 0, 0.05)",
|
||
border: "1px solid rgba(0, 0, 0, 0.1)",
|
||
borderRadius: "4px",
|
||
fontSize: 14,
|
||
padding: "0 8px",
|
||
}}
|
||
type="text"
|
||
placeholder="Enter image prompt..."
|
||
value={shape.props.prompt}
|
||
onChange={(e) => {
|
||
this.editor.updateShape<IImageGen>({
|
||
id: shape.id,
|
||
type: "ImageGen",
|
||
props: { prompt: e.target.value },
|
||
})
|
||
}}
|
||
onKeyDown={(e) => {
|
||
e.stopPropagation()
|
||
if (e.key === 'Enter' && !e.shiftKey) {
|
||
e.preventDefault()
|
||
if (shape.props.prompt.trim() && !shape.props.isLoading) {
|
||
handleGenerate()
|
||
}
|
||
}
|
||
}}
|
||
onPointerDown={(e) => {
|
||
e.stopPropagation()
|
||
}}
|
||
onClick={(e) => {
|
||
e.stopPropagation()
|
||
}}
|
||
disabled={shape.props.isLoading}
|
||
/>
|
||
<button
|
||
style={{
|
||
height: "36px",
|
||
padding: "0 16px",
|
||
pointerEvents: "all",
|
||
cursor: shape.props.prompt.trim() && !shape.props.isLoading ? "pointer" : "not-allowed",
|
||
backgroundColor: shape.props.prompt.trim() && !shape.props.isLoading ? "#007AFF" : "#ccc",
|
||
color: "white",
|
||
border: "none",
|
||
borderRadius: "4px",
|
||
fontWeight: "500",
|
||
fontSize: "14px",
|
||
opacity: shape.props.prompt.trim() && !shape.props.isLoading ? 1 : 0.6,
|
||
}}
|
||
onPointerDown={(e) => {
|
||
e.stopPropagation()
|
||
e.preventDefault()
|
||
if (shape.props.prompt.trim() && !shape.props.isLoading) {
|
||
handleGenerate()
|
||
}
|
||
}}
|
||
onClick={(e) => {
|
||
e.preventDefault()
|
||
e.stopPropagation()
|
||
if (shape.props.prompt.trim() && !shape.props.isLoading) {
|
||
handleGenerate()
|
||
}
|
||
}}
|
||
disabled={shape.props.isLoading || !shape.props.prompt.trim()}
|
||
>
|
||
Generate
|
||
</button>
|
||
</div>
|
||
|
||
{/* Add CSS for spinner animation */}
|
||
<style>{`
|
||
@keyframes spin {
|
||
0% { transform: rotate(0deg); }
|
||
100% { transform: rotate(360deg); }
|
||
}
|
||
`}</style>
|
||
</HTMLContainer>
|
||
)
|
||
}
|
||
|
||
override indicator(shape: IImageGen) {
|
||
return (
|
||
<rect
|
||
width={shape.props.w}
|
||
height={shape.props.h}
|
||
rx={6}
|
||
/>
|
||
)
|
||
}
|
||
}
|
||
|