初始化模版工程

This commit is contained in:
Cloud Bot
2026-03-20 07:33:46 +00:00
commit 23717e0ecd
386 changed files with 51675 additions and 0 deletions

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import { request } from '@/http/request'
import type { SimpleRect, TaskArtifact } from './type'
interface ImageMattingParams {
image_url: string
task_id: string
compress?: boolean
}
export function imageMatting(data: ImageMattingParams) {
return request.post<TaskArtifact>(
'/v1/image/remove_image_background',
data,
)
}
interface ImageOCRParams {
image_url: string
task_id: string
}
// 图片 OCR
export function imageOCR(data: ImageOCRParams) {
return request.post('/v1/image/ocr_normal', data)
}
interface RecognizeImageParams {
image_url: string
task_id: string
width: number
height: number
}
// 识别图片主体返回数据结构
interface RecognizedImageElement {
element: string
type: string
x: number
y: number
w: number
h: number
}
type RecognizeImageResponse = ReadonlyArray<RecognizedImageElement>
// 识别图片主体
export function recognizeImage(data: RecognizeImageParams) {
return request.post<RecognizeImageResponse>(
'/v1/image/read_image',
data,
)
}
type ImageOCRTextUpdateItem = SimpleRect & {
source: string
target: string
// @todo 临时兼容后端接口
w: number
h: number
}
interface UpdateImageOCRTextParams {
texts: ImageOCRTextUpdateItem[]
image_url: string
task_id: string
compress?: boolean
}
export function updateImageOCRText(data: UpdateImageOCRTextParams) {
return request.post<TaskArtifact>(
'/v1/image/gen_image_with_text_by_area',
data,
)
}
interface SegmentLayerParams {
image_url: string
task_id: string
width: number
height: number
}
// 分割图层 - 阶段 1: 提交任务
export function segmentLayer(data: SegmentLayerParams) {
return request.post<string>('/v1/image/segment_layer', data)
}
interface SegmentLayerItem {
line_text: string
line_rect: SimpleRect
image: TaskArtifact
}
interface SegmentLayerResponse {
text_layer: SegmentLayerItem[]
background: TaskArtifact
}
interface SegmentLayerTask {
task_id: string
status: 'PROCESSING' | 'FINISHED' | 'FAILED' | 'TIMEOUT'
result?: SegmentLayerResponse
error_message?: string
}
// 分割图层 - 阶段 2: 轮询结果
export function getSegmentLayerResult(execute_id: string) {
return request.get<SegmentLayerTask>('/v1/image/segment_layer', {
params: { execute_id },
})
}
interface SaveDomiBoardContentData {
data: Record<string, unknown>
task_id: string
}
export function saveDomiBoardContent(data: SaveDomiBoardContentData) {
return request.post('/v1/image/canvas', data)
}
export function getDomiBoardContent(task_id: string) {
return request.get<Record<string, unknown>>('/v1/image/canvas', {
params: { task_id },
})
}
export function getShortUrl(task_id: string, file_path: string) {
return request.post('/v1/oss/get_short_url', {
task_id,
file_paths: [file_path],
})
}
interface RedrawImageParams {
image_url: string
prompt: string
task_id: string
compress?: boolean
}
export function redrawImage(data: RedrawImageParams) {
return request.post<TaskArtifact>(
'/v1/image/gen_image_by_area',
data,
)
}
interface CreateAndSyncImageResponse {
upload_record_id: string
sandbox_path: string
url: string
}
export function createAndSyncImage(data: {
task_id: string
file_name: string
file_type: string
file_byte_size: number
file_url: string
}) {
return request.post<CreateAndSyncImageResponse>(
'/v1/super_agent/file_upload_record/create_and_sync',
data,
)
}
// 创建文件上传记录
export function createFileUploadRecord(payload: {
file_url: string
file_type: string
file_name: string
file_byte_size: number
conversation_id: string
}) {
return request.post(
'/v1/super_agent/file_upload_record/create',
payload,
)
}

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export interface TaskArtifact {
url?: string
path: string
file_name: string
file_type: string
last_modified?: number
isSummary?: boolean
content?: string
[key: string]: any
}
export interface SimpleRect {
x: number
y: number
width: number
height: number
}
export interface ImageOCRLine {
line_text: string
line_rect: SimpleRect
}
export type ImageOCRResponse = ReadonlyArray<ImageOCRLine>
export type ImageOCRTextUpdateItem = SimpleRect & {
source: string
target: string
// @todo 临时兼容后端接口
w: number
h: number
}
// 识别图片主体返回数据结构
export interface RecognizedImageElement {
element: string
type: string
x: number
y: number
w: number
h: number
}