chore: commit workspace updates

This commit is contained in:
ddCat
2026-09-14 01:11:56 +08:00
parent 01a2d171f5
commit 9727656b2b
491 changed files with 12826 additions and 72249 deletions

View File

@@ -2,19 +2,16 @@ import { getMediaBlob } from "@/services/file-storage";
import { getImageBlob } from "@/services/image-storage";
import { resourceIdFromStorageKey, resourceStorageKey, uploadResourceFile } from "@/services/api/resources";
import { createGenerationTask, waitForGenerationTask, type GenerationTask, type CreateTaskInput } from "@/services/api/task-center";
import { LOCAL_DREAMINA_WAIT_STOPPED_CODE, LocalDreaminaGenerationClientError, runLocalDreaminaGenerationTask, type LocalDreaminaGenerationInput, type LocalDreaminaGenerationTask } from "@/services/local-dreamina-generation";
import { isLocalDreaminaBackgroundTask, localDreaminaTaskId, projectLocalDreaminaTask, stripLocalDreaminaTaskPrefix } from "@/services/local-dreamina-task-projection";
import { modelCapabilityConfigFor } from "@/lib/model-capabilities";
import { grokImagePromptLimitError } from "@/lib/grok-image-prompt-limit";
import { resolveGenerationWorkflowExecution, type GenerationWorkflowExecution } from "@/lib/generation-workflow-execution";
import { isArkPlanBaseUrl } from "@/lib/seedance-video";
import { resolveVideoOperation } from "@/lib/model-selection";
import { logicalModelIDForConfig, modelOptionName, resolveModelChannel, resolveModelRequestConfig, type AiConfig } from "@/stores/use-config-store";
import { useLocalDreaminaModelStore } from "@/stores/use-local-dreamina-model-store";
import type { ReferenceImage } from "@/types/image";
import type { ReferenceAudio, ReferenceVideo } from "@/types/media";
import { buildBackendToolRequests, type ResponseFunctionTool, type ResponseInputMessage, type ToolChoice, type ToolResponseResult } from "@/services/api/image";
import { assertAgentExchangeBudget } from "@/lib/canvas/canvas-agent-context-budget";
import { assertAgentExchangeBudget } from "@/lib/canvas/agent-context-budget";
export { logicalModelIDForConfig };
@@ -46,8 +43,6 @@ type BackendGenerationTaskOptions = {
onTextDelta?: (text: string) => void;
streamText?: boolean;
enableThinking?: boolean;
localIdempotencyKey?: string;
localResumeOnly?: boolean;
clientOperationId?: string;
retryOf?: string;
retryContextsByBatchIndex?: Array<{ retryOf: string; attemptGroupId: string; clientOperationId: string }>;
@@ -57,19 +52,13 @@ type BackendGenerationTaskOptions = {
export type GenerationTaskDependencies = {
createTask: typeof createGenerationTask;
waitTask: typeof waitForGenerationTask;
runLocal: (input: LocalDreaminaGenerationInput, signal?: AbortSignal, onTaskUpdate?: (task: LocalDreaminaGenerationTask) => void) => ReturnType<typeof runLocalDreaminaGenerationTask>;
createId: () => string;
now: () => string;
ensureLocalDreaminaReady?: (signal?: AbortSignal) => Promise<unknown>;
};
const defaultDependencies: GenerationTaskDependencies = {
createTask: createGenerationTask,
waitTask: waitForGenerationTask,
runLocal: (input, signal, onTaskUpdate) => runLocalDreaminaGenerationTask(input, { onTaskUpdate }, signal),
createId: () => crypto.randomUUID(),
now: () => new Date().toISOString(),
ensureLocalDreaminaReady: (signal) => useLocalDreaminaModelStore.getState().ensureReady(signal),
};
type PreparedGenerationReferences = {
@@ -97,8 +86,6 @@ export async function runBackendGenerationTask(
onTextDelta,
streamText,
enableThinking,
localIdempotencyKey,
localResumeOnly,
clientOperationId,
retryOf,
attemptGroupId,
@@ -107,14 +94,6 @@ export async function runBackendGenerationTask(
) {
throwIfAborted(signal);
assertClientPromptLimit(mode, prompt, config, metadata);
if (usesLocalDreamina(config)) {
await dependencies.ensureLocalDreaminaReady?.(signal);
throwIfAborted(signal);
return await runLocalDreaminaGeneration(
{ projectId, mode, prompt, config, referenceImages, referenceVideos, referenceAudios, textHistory, mask, signal, metadata, onTaskUpdate, onTextDelta, streamText, enableThinking, localIdempotencyKey, localResumeOnly, clientOperationId, retryOf, attemptGroupId },
dependencies,
);
}
assertBackendRuntimeConfigured(config, mode);
const prepared = await prepareGenerationReferences({ config, referenceImages, referenceVideos, referenceAudios, mask });
throwIfAborted(signal);
@@ -129,7 +108,6 @@ export async function submitBackendGenerationTask(
): Promise<GenerationTask> {
throwIfAborted(options.signal);
assertClientPromptLimit(options.mode, options.prompt, options.config, options.metadata);
if (usesLocalDreamina(options.config)) throw new Error("本机即梦任务暂不支持后台提交");
assertBackendRuntimeConfigured(options.config, options.mode);
const prepared = await prepareGenerationReferences(options);
throwIfAborted(options.signal);
@@ -176,6 +154,7 @@ export function prepareBackendToolGenerationTask(options: BackendToolGenerationO
prompt: options.prompt,
config: backendProviderConfig(options.config, "text"),
agentRequests: buildBackendToolRequests(options.messages, options.tools, options.toolChoice, options.config),
textOptions: { stream: modelCapabilityConfigFor(options.config, requestConfig.model).text?.streaming !== false },
referenceImages: [...imageKeys].map((storageKey) => ({ storageKey })),
metadata: options.metadata || { source: "canvas-online-agent" },
},
@@ -203,27 +182,6 @@ export async function runBackendGenerationTaskBatch(options: BackendGenerationTa
throwIfAborted(options.signal);
assertClientPromptLimit(options.mode, options.prompt, options.config, options.metadata);
if (options.retryContextsByBatchIndex && options.retryContextsByBatchIndex.length !== count) throw new Error("生成重试批次任务数量不匹配");
if (usesLocalDreamina(options.config)) {
await dependencies.ensureLocalDreaminaReady?.(options.signal);
throwIfAborted(options.signal);
return Promise.allSettled(
Array.from({ length: count }, (_, batchIndex) => {
const retryContext = options.retryContextsByBatchIndex?.[batchIndex];
return runLocalDreaminaGeneration(
{
...options,
config: { ...options.config, count: "1" },
metadata: { ...options.metadata, batchIndex, batchCount: count },
localIdempotencyKey: options.localIdempotencyKey ? `${options.localIdempotencyKey}:${batchIndex + 1}` : undefined,
clientOperationId: retryContext?.clientOperationId ?? (options.clientOperationId ? `${options.clientOperationId}:${batchIndex + 1}` : undefined),
retryOf: retryContext?.retryOf ?? options.retryOf,
attemptGroupId: retryContext?.attemptGroupId ?? options.attemptGroupId,
},
dependencies,
);
}),
);
}
const prepared = await prepareGenerationReferences(options);
throwIfAborted(options.signal);
return Promise.allSettled(
@@ -240,88 +198,6 @@ export async function runBackendGenerationTaskBatch(options: BackendGenerationTa
);
}
async function runLocalDreaminaGeneration(options: BackendGenerationTaskOptions, dependencies: GenerationTaskDependencies): Promise<BackendGenerationResult> {
if (options.mode !== "image" && options.mode !== "video") throw new Error("即梦 CLI 仅支持图片或视频生成");
const runtimeId = stripLocalDreaminaTaskPrefix(options.localIdempotencyKey || options.clientOperationId || dependencies.createId());
const clientOperationId = options.clientOperationId ?? runtimeId;
const context = localTaskContext(options);
const timestamp = dependencies.now();
const task: GenerationTask = {
id: localDreaminaTaskId(runtimeId),
clientOperationId,
...(options.projectId ? { projectId: options.projectId } : {}),
type: `canvas_${options.mode}`,
status: "running",
stage: "submitting",
prompt: options.prompt,
operation: generationOperation(options),
provider: "dreamina-cli",
model: options.config.model,
attempts: 1,
createdAt: timestamp,
updatedAt: timestamp,
startedAt: timestamp,
clientContext: generationClientContext(context),
...(context.retryOf ? { retryOf: context.retryOf } : {}),
...(context.attemptGroupId ? { attemptGroupId: context.attemptGroupId } : {}),
};
let latestPublicTask = task;
options.onTaskUpdate?.(task);
try {
const references = await localGenerationReferences([...(options.referenceImages ?? []), ...(options.mask ? [options.mask] : [])], options.referenceVideos ?? [], options.referenceAudios ?? []);
const resolution = options.mode === "video" ? options.config.vquality : options.config.quality;
const result = await dependencies.runLocal(
{
model: options.config.model as `local:dreamina-cli:${string}`,
mode: options.mode,
prompt: options.prompt,
settings: {
aspect: options.config.size,
resolution,
...(options.mode === "video" ? { duration: Number(options.config.videoSeconds) } : { count: Number(options.config.count) }),
},
references,
resumeOnly: options.localResumeOnly,
idempotencyKey: runtimeId,
clientOperationId,
context,
},
options.signal,
(runtimeTask) => {
latestPublicTask = projectLocalDreaminaTask(runtimeTask, task);
options.onTaskUpdate?.(latestPublicTask);
},
);
const completedAt = dependencies.now();
latestPublicTask = { ...latestPublicTask, status: "succeeded", progress: 100, stage: "local_cli_succeeded", resultJson: JSON.stringify(result), completedAt, updatedAt: completedAt };
options.onTaskUpdate?.(latestPublicTask);
return result;
} catch (error) {
const completedAt = dependencies.now();
const cancelled = isGenerationTaskCancelled(error, options.signal);
const localWaitStopped = error instanceof LocalDreaminaGenerationClientError && error.code === LOCAL_DREAMINA_WAIT_STOPPED_CODE;
const localErrorCode = error instanceof LocalDreaminaGenerationClientError ? error.code : undefined;
if (!(cancelled && isLocalDreaminaBackgroundTask(latestPublicTask))) {
options.onTaskUpdate?.({
...latestPublicTask,
status: cancelled ? "cancelled" : "failed",
stage: cancelled ? "local_cli_cancelled" : "local_cli_failed",
completedAt,
updatedAt: completedAt,
...(localWaitStopped
? { errorCode: error.code, error: error.message }
: !cancelled
? {
...(localErrorCode ? { errorCode: localErrorCode } : {}),
error: error instanceof Error ? error.message : "即梦本机生成失败",
}
: {}),
});
}
throw error;
}
}
function generationOperation(options: BackendGenerationTaskOptions) {
if (options.mode !== "video") return options.mode;
return resolveVideoOperation({
@@ -334,84 +210,7 @@ function generationOperation(options: BackendGenerationTaskOptions) {
}
export function isGenerationTaskCancelled(error: unknown, signal?: AbortSignal) {
if (error instanceof LocalDreaminaGenerationClientError && error.code === "dreamina_submission_unknown") return false;
return signal?.aborted === true || (error instanceof Error && error.name === "AbortError") || (error instanceof LocalDreaminaGenerationClientError && error.code === LOCAL_DREAMINA_WAIT_STOPPED_CODE);
}
async function localGenerationReferences(images: ReferenceImage[], videos: ReferenceVideo[], audios: ReferenceAudio[]): Promise<LocalDreaminaGenerationInput["references"]> {
const imageReferences = await Promise.all(
images.map(async (image) => {
const source = image.dataUrl || image.url;
if (!source && !image.storageKey) throw new LocalDreaminaGenerationClientError("dreamina_reference_invalid", "即梦图片参考素材不可用", 400);
const blob = image.storageKey ? await getImageBlob(image.storageKey) : await (await fetch(source!)).blob();
if (!blob || !["image/png", "image/jpeg", "image/webp"].includes(blob.type)) throw invalidLocalReference();
return {
kind: "image" as const,
mimeType: blob.type as "image/png" | "image/jpeg" | "image/webp",
bytes: new Uint8Array(await blob.arrayBuffer()),
metadata: compactReferenceMetadata({ name: image.name, width: image.width, height: image.height }),
};
}),
);
const mediaReferences = async (items: Array<ReferenceVideo | ReferenceAudio>, kind: "video" | "audio") =>
Promise.all(
items.map(async (media) => {
const source = media.url || "";
const blob = media.storageKey ? await getMediaBlob(media.storageKey) : source ? await (await fetch(source)).blob() : null;
const allowed = kind === "video" ? ["video/mp4", "video/quicktime", "video/webm"] : ["audio/mpeg", "audio/wav", "audio/mp4", "audio/aac", "audio/flac"];
if (!blob || !allowed.includes(blob.type)) throw invalidLocalReference();
return {
kind,
mimeType: blob.type,
bytes: new Uint8Array(await blob.arrayBuffer()),
metadata: compactReferenceMetadata({
name: media.name,
...("width" in media ? { width: media.width, height: media.height } : {}),
durationMs: media.durationMs,
}),
};
}),
);
const references = [...imageReferences, ...(await mediaReferences(videos, "video")), ...(await mediaReferences(audios, "audio"))] as LocalDreaminaGenerationInput["references"];
if (references.reduce((total, reference) => total + reference.bytes.byteLength, 0) > 20 * 1024 * 1024) throw invalidLocalReference();
return references;
}
function invalidLocalReference() {
return new LocalDreaminaGenerationClientError("dreamina_reference_invalid", "即梦参考素材无效", 400);
}
function compactReferenceMetadata(metadata: Record<string, string | number | undefined>) {
return Object.fromEntries(Object.entries(metadata).filter(([, value]) => value !== undefined));
}
function localTaskContext(options: BackendGenerationTaskOptions): Extract<LocalDreaminaGenerationInput["context"], { scope: "scoped" }> {
const metadata = options.metadata ?? {};
return {
scope: "scoped",
...(options.projectId ? { projectId: options.projectId } : {}),
...(typeof metadata.nodeId === "string" ? { nodeId: metadata.nodeId } : {}),
...(typeof metadata.conversationId === "string" ? { conversationId: metadata.conversationId } : {}),
...(typeof metadata.messageId === "string" ? { messageId: metadata.messageId } : {}),
...(typeof metadata.batchIndex === "number" ? { batchIndex: metadata.batchIndex } : {}),
...(typeof metadata.batchCount === "number" ? { batchCount: metadata.batchCount } : {}),
...(options.retryOf ? { retryOf: options.retryOf } : {}),
...(options.attemptGroupId ? { attemptGroupId: options.attemptGroupId } : {}),
};
}
function generationClientContext(context: Extract<LocalDreaminaGenerationInput["context"], { scope: "scoped" }>) {
const { conversationId, messageId, nodeId, batchIndex, batchCount } = context;
if (!conversationId && !messageId && !nodeId && batchIndex === undefined && batchCount === undefined) return undefined;
return { ...(conversationId ? { conversationId } : {}), ...(messageId ? { messageId } : {}), ...(nodeId ? { nodeId } : {}), ...(batchIndex !== undefined ? { batchIndex } : {}), ...(batchCount !== undefined ? { batchCount } : {}) };
}
function isLocalDreaminaModel(model: string) {
return /^local:dreamina-cli:[A-Za-z0-9][A-Za-z0-9._:-]{0,119}$/.test(model.trim());
}
function usesLocalDreamina(config: AiConfig) {
return (config.taskWorkflowProvider || "model") === "model" && isLocalDreaminaModel(config.model);
return signal?.aborted === true || (error instanceof Error && error.name === "AbortError");
}
function assertBackendRuntimeConfigured(config: AiConfig, mode: BackendGenerationMode) {
@@ -468,7 +267,6 @@ async function createBackendGenerationTask(options: BackendGenerationTaskOptions
export async function prepareBackendGenerationTask(options: BackendGenerationTaskOptions): Promise<CreateTaskInput> {
throwIfAborted(options.signal);
if (usesLocalDreamina(options.config)) throw new Error("智能创作的在线授权暂不支持本机即梦,请使用现有本机入口");
assertClientPromptLimit(options.mode, options.prompt, options.config, options.metadata);
assertBackendRuntimeConfigured(options.config, options.mode);
const prepared = await prepareGenerationReferences(options);
@@ -614,7 +412,6 @@ export function backendProviderConfig(config: AiConfig, mode: BackendGenerationM
apiFormat: requestConfig.apiFormat,
interfaceType: requestConfig.interfaceType,
baseUrl: requestConfig.baseUrl,
allowLocalChannel: requestConfig.allowLocalChannel === true,
apiKey: requestConfig.apiKey,
secretKey: requestConfig.secretKey,
model: requestConfig.model,
@@ -626,13 +423,11 @@ export function backendProviderConfig(config: AiConfig, mode: BackendGenerationM
function workflowProviderConfig(config: AiConfig, requestConfig: ReturnType<typeof resolveModelRequestConfig>, workflow: GenerationWorkflowExecution) {
const runningHubActive = workflow.provider === "runninghub";
const comfyBridgeActive = workflow.provider === "comfyui-bridge";
return {
channelId: "",
apiFormat: requestConfig.apiFormat,
interfaceType: workflow.interfaceType,
baseUrl: comfyBridgeActive ? "bridge://local" : config.runningHub.baseUrl,
allowLocalChannel: false,
baseUrl: config.runningHub.baseUrl,
apiKey: runningHubActive ? config.runningHub.apiKey : "",
// 工作流是独立 Provider,不能继承普通模型渠道的密钥和自定义头。
secretKey: "",
@@ -655,7 +450,6 @@ function workflowProviderConfig(config: AiConfig, requestConfig: ReturnType<type
webappId: workflow.webappId,
workflowJson: workflow.workflowJson,
workflowFields: workflow.workflowFields,
bridgeId: workflow.bridgeId,
runningHubUseWallet: false,
runningHubWalletApiKey: "",
runningHubUploadApiKey: runningHubActive ? config.runningHub.uploadApiKey || "" : "",