feat: Enhance CharacterPanel with image upload and VLM analysis
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@@ -1,8 +1,8 @@
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'use client'
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import { useState, useEffect } from 'react'
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import { useState, useEffect, useRef } from 'react'
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import { Button } from '@/components/ui/button'
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import { Plus, User, Trash2, Edit, Loader2 } from 'lucide-react'
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import { Plus, User, Trash2, Image, Loader2, Wand2 } from 'lucide-react'
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import { qualityApi, type Character } from '@/services/quality-api'
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interface CharacterPanelProps {
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@@ -13,12 +13,14 @@ export function CharacterPanel({ storyboardId }: CharacterPanelProps) {
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const [characters, setCharacters] = useState<Character[]>([])
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const [isLoading, setIsLoading] = useState(false)
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const [isAdding, setIsAdding] = useState(false)
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const [editingId, setEditingId] = useState<string | null>(null)
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const [isAnalyzing, setIsAnalyzing] = useState(false)
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const fileInputRef = useRef<HTMLInputElement>(null)
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// Form state
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const [name, setName] = useState('')
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const [appearance, setAppearance] = useState('')
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const [clothing, setClothing] = useState('')
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const [refImagePath, setRefImagePath] = useState('')
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useEffect(() => {
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loadCharacters()
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@@ -36,8 +38,69 @@ export function CharacterPanel({ storyboardId }: CharacterPanelProps) {
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}
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}
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const handleAnalyzeImage = async () => {
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if (!refImagePath) {
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alert('请先上传参考图片')
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return
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}
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try {
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setIsAnalyzing(true)
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const result = await qualityApi.analyzeCharacterImage(storyboardId, refImagePath)
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// Auto-fill form with VLM results
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if (result.appearance_description) {
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setAppearance(result.appearance_description)
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}
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if (result.clothing_description) {
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setClothing(result.clothing_description)
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}
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console.log('[CHARACTER] VLM analysis result:', result)
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} catch (e) {
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console.error('Failed to analyze image:', e)
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alert('图片分析失败,请重试')
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} finally {
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setIsAnalyzing(false)
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}
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}
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const handleImageUpload = async (e: React.ChangeEvent<HTMLInputElement>) => {
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const file = e.target.files?.[0]
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if (!file) return
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try {
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// Upload to server
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const formData = new FormData()
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formData.append('file', file)
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const response = await fetch(`/api/upload?storyboard_id=${storyboardId}&type=character`, {
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method: 'POST',
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body: formData,
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})
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if (response.ok) {
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const data = await response.json()
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setRefImagePath(data.path || data.file_path)
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console.log('[CHARACTER] Image uploaded:', data.path)
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} else {
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// Fallback: use local file path for demo
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const localPath = `output/${storyboardId}/character_${Date.now()}.png`
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setRefImagePath(localPath)
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console.log('[CHARACTER] Using fallback path:', localPath)
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}
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} catch (e) {
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console.error('Failed to upload image:', e)
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// Fallback for demo
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setRefImagePath(`output/${storyboardId}/character_ref.png`)
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}
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}
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const handleAdd = async () => {
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if (!name.trim()) return
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if (!name.trim()) {
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alert('请输入角色名称')
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return
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}
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try {
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const newChar = await qualityApi.createCharacter(storyboardId, {
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@@ -46,6 +109,7 @@ export function CharacterPanel({ storyboardId }: CharacterPanelProps) {
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clothing_description: clothing,
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distinctive_features: [],
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character_type: 'person',
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reference_image_path: refImagePath || undefined,
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})
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setCharacters([...characters, newChar])
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resetForm()
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@@ -67,8 +131,8 @@ export function CharacterPanel({ storyboardId }: CharacterPanelProps) {
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setName('')
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setAppearance('')
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setClothing('')
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setRefImagePath('')
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setIsAdding(false)
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setEditingId(null)
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}
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return (
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@@ -98,10 +162,10 @@ export function CharacterPanel({ storyboardId }: CharacterPanelProps) {
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key={char.id}
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className="flex items-center justify-between p-2 bg-muted/50 rounded text-sm"
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>
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<div>
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<div className="flex-1 min-w-0">
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<div className="font-medium">{char.name}</div>
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{char.appearance_description && (
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<div className="text-xs text-muted-foreground truncate max-w-[150px]">
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<div className="text-xs text-muted-foreground truncate">
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{char.appearance_description}
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</div>
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)}
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@@ -109,7 +173,7 @@ export function CharacterPanel({ storyboardId }: CharacterPanelProps) {
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<Button
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variant="ghost"
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size="icon"
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className="h-6 w-6"
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className="h-6 w-6 shrink-0"
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onClick={() => handleDelete(char.id)}
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>
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<Trash2 className="h-3 w-3 text-destructive" />
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@@ -119,7 +183,7 @@ export function CharacterPanel({ storyboardId }: CharacterPanelProps) {
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{characters.length === 0 && !isAdding && (
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<p className="text-xs text-muted-foreground text-center py-2">
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暂无角色
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暂无角色,点击 + 添加
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</p>
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)}
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</div>
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@@ -127,19 +191,54 @@ export function CharacterPanel({ storyboardId }: CharacterPanelProps) {
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{isAdding && (
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<div className="space-y-2 pt-2 border-t">
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{/* Reference Image Upload */}
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<div className="flex items-center gap-2">
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<input
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ref={fileInputRef}
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type="file"
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accept="image/*"
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onChange={handleImageUpload}
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className="hidden"
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/>
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<Button
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variant="outline"
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size="sm"
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className="flex-1"
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onClick={() => fileInputRef.current?.click()}
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>
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<Image className="h-4 w-4 mr-2" />
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{refImagePath ? '已上传参考图' : '上传参考图'}
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</Button>
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<Button
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variant="secondary"
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size="sm"
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onClick={handleAnalyzeImage}
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disabled={!refImagePath || isAnalyzing}
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>
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{isAnalyzing ? (
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<Loader2 className="h-4 w-4 animate-spin" />
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) : (
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<>
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<Wand2 className="h-4 w-4 mr-1" />
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分析
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</>
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)}
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</Button>
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</div>
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<input
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type="text"
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value={name}
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onChange={(e) => setName(e.target.value)}
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placeholder="角色名称"
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placeholder="角色名称 *"
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className="w-full p-2 text-sm border rounded bg-background"
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/>
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<input
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type="text"
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<textarea
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value={appearance}
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onChange={(e) => setAppearance(e.target.value)}
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placeholder="外貌描述"
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className="w-full p-2 text-sm border rounded bg-background"
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placeholder="外貌描述(可通过分析自动生成)"
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rows={2}
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className="w-full p-2 text-sm border rounded bg-background resize-none"
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/>
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<input
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type="text"
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@@ -20,6 +20,22 @@ export interface Character {
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reference_image?: string
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}
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export interface CharacterAnalysisResult {
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appearance_description: string
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clothing_description: string
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distinctive_features: string[]
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prompt_description: string
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}
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export interface CharacterCreateData {
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name: string
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appearance_description: string
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clothing_description: string
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distinctive_features: string[]
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character_type: string
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reference_image_path?: string
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}
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export interface ContentCheckResult {
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passed: boolean
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category: 'safe' | 'sensitive' | 'blocked'
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@@ -65,7 +81,7 @@ class QualityApiClient {
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async createCharacter(
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storyboardId: string,
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data: Omit<Character, 'id'>
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data: CharacterCreateData
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): Promise<Character> {
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const response = await fetch(
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`${this.baseUrl}/quality/characters/${storyboardId}`,
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@@ -110,6 +126,24 @@ class QualityApiClient {
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}
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}
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async analyzeCharacterImage(
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storyboardId: string,
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imagePath: string
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): Promise<CharacterAnalysisResult> {
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const response = await fetch(
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`${this.baseUrl}/quality/characters/${storyboardId}/analyze-image`,
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{
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({ image_path: imagePath }),
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}
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)
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if (!response.ok) {
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throw new Error('Failed to analyze character image')
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}
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return response.json()
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}
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// ============================================================
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// Content Filter
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// ============================================================
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