feat(assets): 文件夹主题 - 新增多主题皮肤并同步主线

This commit is contained in:
echoD886
2026-08-20 16:33:51 +08:00
93 changed files with 4081 additions and 1143 deletions

View File

@@ -1,6 +1,7 @@
import axios from "axios";
import { buildApiUrl, isSystemProxyBaseUrl, resolveBackendApiUrl, resolveModelRequestConfig, type AiConfig, type ModelChannel } from "@/stores/use-config-store";
import { sanitizeChannelModelCatalogItem, type ChannelModelCatalogItem } from "@/lib/channel-model-catalog";
import { nanoid } from "nanoid";
import { dataUrlToFile } from "@/lib/image-utils";
import { buildImageReferencePromptText } from "@/lib/image-reference-prompt";
@@ -14,9 +15,14 @@ import { imageSizeRequest, modelCapabilityConfigFor, normalizeImageValue, type I
export type AiTextMessage = {
role: "system" | "user" | "assistant";
content: string | Array<{ type: "text"; text: string } | { type: "image_url"; image_url: { url: string } }>;
content: string | AiTextContentPart[];
};
export type AiTextContentPart =
| { type: "text"; text: string }
| { type: "image_url"; image_url: { url: string } }
| { type: "file_url"; file_url: { url: string; name: string; mimeType: string } };
export type ResponseToolCall = {
id: string;
type: "function";
@@ -39,11 +45,12 @@ export type ResponseFunctionTool = {
export type ToolResponseResult = {
content: string;
toolCalls: ResponseToolCall[];
reasoning?: string;
};
type ToolChoice = "auto" | "required" | { type: "function"; name: string };
type ResponseMessageContent = AiTextMessage["content"] | string;
type ResponseInputContent = { type: "input_text"; text: string } | { type: "input_image"; image_url: string };
type ResponseInputContent = { type: "input_text"; text: string } | { type: "input_image"; image_url: string } | { type: "input_file"; filename: string; file_data?: string; file_url?: string };
type ResponseInputItem = { role: "system" | "user" | "assistant"; content: string | ResponseInputContent[] } | { type: "function_call"; call_id: string; name: string; arguments: string } | { type: "function_call_output"; call_id: string; output: string };
type ResponseApiToolDefinition = {
type: "function";
@@ -61,16 +68,16 @@ type ResponseApiPayload = {
code?: number;
msg?: string;
};
type ResponseStreamState = { buffer: string; text: string; payload?: ResponseApiPayload; error?: string };
type ResponseStreamState = { buffer: string; text: string; reasoning: string; payload?: ResponseApiPayload; error?: string };
type ChatCompletionToolCall = { id?: string; type?: "function"; function?: { name?: string; arguments?: string } };
type ChatCompletionPayload = {
choices?: Array<{ message?: { content?: string | null; tool_calls?: ChatCompletionToolCall[] } }>;
choices?: Array<{ message?: { content?: string | null; reasoning_content?: string | null; tool_calls?: ChatCompletionToolCall[] } }>;
error?: { message?: string };
code?: number;
msg?: string;
};
type ChatCompletionStreamToolCall = { id: string; name: string; arguments: string };
type ChatCompletionStreamState = { buffer: string; text: string; toolCalls: Map<number, ChatCompletionStreamToolCall>; error?: string };
type ChatCompletionStreamState = { buffer: string; text: string; reasoning: string; toolCalls: Map<number, ChatCompletionStreamToolCall>; error?: string };
type ImageApiResponse = {
data?: Array<Record<string, unknown>>;
@@ -80,6 +87,7 @@ type ImageApiResponse = {
};
type GeminiPart = {
text?: string;
thought?: boolean;
inlineData?: { mimeType?: string; data?: string };
inline_data?: { mime_type?: string; mimeType?: string; data?: string };
fileData?: { mimeType?: string; fileUri?: string };
@@ -95,8 +103,8 @@ type GeminiPayload = {
error?: { message?: string };
promptFeedback?: { blockReason?: string };
};
type GeminiStreamState = { buffer: string; text: string; toolCalls: ResponseToolCall[]; error?: string };
type RequestOptions = { signal?: AbortSignal; promptCacheKey?: string };
type GeminiStreamState = { buffer: string; text: string; reasoning: string; toolCalls: ResponseToolCall[]; error?: string };
type RequestOptions = { signal?: AbortSignal; promptCacheKey?: string; onReasoning?: (text: string) => void };
const QUALITY_BASE: Record<string, number> = {
low: 1024,
@@ -347,7 +355,13 @@ function toResponseInput(messages: ResponseInputMessage[]): ResponseInputItem[]
function toResponseContent(content: ResponseMessageContent): string | ResponseInputContent[] {
if (!Array.isArray(content)) return String(content || "");
return content.map((item) => (item.type === "text" ? { type: "input_text" as const, text: item.text } : { type: "input_image" as const, image_url: item.image_url.url }));
return content.map((item) => {
if (item.type === "text") return { type: "input_text" as const, text: item.text };
if (item.type === "image_url") return { type: "input_image" as const, image_url: item.image_url.url };
return item.file_url.url.startsWith("data:")
? { type: "input_file" as const, filename: item.file_url.name, file_data: item.file_url.url }
: { type: "input_file" as const, filename: item.file_url.name, file_url: item.file_url.url };
});
}
function toResponseTool(tool: ResponseFunctionTool): ResponseApiToolDefinition {
@@ -377,13 +391,24 @@ function toChatCompletionMessages(messages: ResponseInputMessage[]) {
if (message.role === "tool") {
result.push({ role: "tool", tool_call_id: message.tool_call_id, content: message.content });
} else {
result.push({ role: message.role, content: message.content });
result.push({ role: message.role, content: toChatCompletionContent(message.content) });
}
index += 1;
}
return result;
}
function toChatCompletionContent(content: ResponseMessageContent) {
if (!Array.isArray(content)) return content;
return content.map((item) => {
if (item.type !== "file_url") return item;
const file = item.file_url.url.startsWith("data:")
? { filename: item.file_url.name, file_data: item.file_url.url }
: { filename: item.file_url.name, file_url: item.file_url.url };
return { type: "file", file };
});
}
function toChatCompletionToolChoice(toolChoice: ToolChoice) {
return typeof toolChoice === "object" ? { type: "function", function: { name: toolChoice.name } } : toolChoice;
}
@@ -404,7 +429,7 @@ function parseChatCompletionPayload(payload: ChatCompletionPayload): ToolRespons
function: { name: call.function?.name || "", arguments: call.function?.arguments || "{}" },
}))
.filter((call) => call.id && call.function.name);
return { content: message?.content || "", toolCalls };
return { content: message?.content || "", toolCalls, ...(message?.reasoning_content ? { reasoning: message.reasoning_content } : {}) };
}
function parseToolResponse(payload: ResponseApiPayload): ToolResponseResult {
@@ -472,7 +497,7 @@ async function readJsonPayload<T>(response: Response, fallback: string): Promise
}
}
function consumeResponseStreamBlock(block: string, state: ResponseStreamState, onDelta?: (text: string) => void) {
function consumeResponseStreamBlock(block: string, state: ResponseStreamState, onDelta?: (text: string) => void, onReasoning?: (text: string) => void) {
const data = block
.split(/\r?\n/)
.filter((line) => line.startsWith("data:"))
@@ -492,6 +517,14 @@ function consumeResponseStreamBlock(block: string, state: ResponseStreamState, o
state.text = event.text;
onDelta?.(state.text);
}
if (["response.reasoning.delta", "response.reasoning_text.delta", "response.reasoning_summary_text.delta"].includes(type) && typeof event.delta === "string") {
state.reasoning += event.delta;
onReasoning?.(state.reasoning);
}
if (["response.reasoning.done", "response.reasoning_text.done", "response.reasoning_summary_text.done"].includes(type) && !state.reasoning && typeof event.text === "string") {
state.reasoning = event.text;
onReasoning?.(state.reasoning);
}
if (type === "response.completed" && isRecord(event.response)) {
state.payload = event.response as ResponseApiPayload;
} else if (Array.isArray(event.output)) {
@@ -499,17 +532,17 @@ function consumeResponseStreamBlock(block: string, state: ResponseStreamState, o
}
}
function consumeResponseStreamText(state: ResponseStreamState, text: string, onDelta?: (text: string) => void, flush = false) {
function consumeResponseStreamText(state: ResponseStreamState, text: string, onDelta?: (text: string) => void, onReasoning?: (text: string) => void, flush = false) {
state.buffer += text;
for (;;) {
const match = state.buffer.match(/\r?\n\r?\n/);
if (!match) break;
const index = match.index ?? 0;
consumeResponseStreamBlock(state.buffer.slice(0, index), state, onDelta);
consumeResponseStreamBlock(state.buffer.slice(0, index), state, onDelta, onReasoning);
state.buffer = state.buffer.slice(index + match[0].length);
}
if (flush && state.buffer.trim()) {
consumeResponseStreamBlock(state.buffer, state, onDelta);
consumeResponseStreamBlock(state.buffer, state, onDelta, onReasoning);
state.buffer = "";
}
}
@@ -532,22 +565,22 @@ async function requestStreamingResponse(config: AiConfig, body: Record<string, u
const reader = response.body.getReader();
const decoder = new TextDecoder();
const state: ResponseStreamState = { buffer: "", text: "" };
const state: ResponseStreamState = { buffer: "", text: "", reasoning: "" };
for (;;) {
const { done, value } = await reader.read();
if (done) break;
consumeResponseStreamText(state, decoder.decode(value, { stream: true }), onDelta);
consumeResponseStreamText(state, decoder.decode(value, { stream: true }), onDelta, options?.onReasoning);
if (state.error) throw new Error(state.error);
}
consumeResponseStreamText(state, decoder.decode(), onDelta, true);
consumeResponseStreamText(state, decoder.decode(), onDelta, options?.onReasoning, true);
if (state.error) throw new Error(state.error);
if (!state.payload) return { content: state.text, toolCalls: [] };
if (!state.payload) return { content: state.text, toolCalls: [], ...(state.reasoning ? { reasoning: state.reasoning } : {}) };
validateResponsePayload(state.payload);
const result = parseToolResponse(state.payload);
return { ...result, content: state.text || result.content };
return { ...result, content: state.text || result.content, ...(state.reasoning ? { reasoning: state.reasoning } : {}) };
}
function consumeChatCompletionStreamBlock(block: string, state: ChatCompletionStreamState, onDelta?: (text: string) => void) {
function consumeChatCompletionStreamBlock(block: string, state: ChatCompletionStreamState, onDelta?: (text: string) => void, onReasoning?: (text: string) => void) {
const data = block
.split(/\r?\n/)
.filter((line) => line.startsWith("data:"))
@@ -566,6 +599,11 @@ function consumeChatCompletionStreamBlock(block: string, state: ChatCompletionSt
state.text += delta.content;
onDelta?.(state.text);
}
const reasoningDelta = stringValue(delta.reasoning_content) || stringValue(delta.reasoning) || stringValue(delta.reasoning_text);
if (reasoningDelta) {
state.reasoning += reasoningDelta;
onReasoning?.(state.reasoning);
}
const chunks = Array.isArray(delta.tool_calls) ? delta.tool_calls : [];
chunks.forEach((value, fallbackIndex) => {
if (!isRecord(value)) return;
@@ -580,17 +618,17 @@ function consumeChatCompletionStreamBlock(block: string, state: ChatCompletionSt
});
}
function consumeChatCompletionStreamText(state: ChatCompletionStreamState, text: string, onDelta?: (text: string) => void, flush = false) {
function consumeChatCompletionStreamText(state: ChatCompletionStreamState, text: string, onDelta?: (text: string) => void, onReasoning?: (text: string) => void, flush = false) {
state.buffer += text;
for (;;) {
const match = state.buffer.match(/\r?\n\r?\n/);
if (!match) break;
const index = match.index ?? 0;
consumeChatCompletionStreamBlock(state.buffer.slice(0, index), state, onDelta);
consumeChatCompletionStreamBlock(state.buffer.slice(0, index), state, onDelta, onReasoning);
state.buffer = state.buffer.slice(index + match[0].length);
}
if (flush && state.buffer.trim()) {
consumeChatCompletionStreamBlock(state.buffer, state, onDelta);
consumeChatCompletionStreamBlock(state.buffer, state, onDelta, onReasoning);
state.buffer = "";
}
}
@@ -606,24 +644,28 @@ async function requestStreamingChatCompletion(config: AiConfig, body: Record<str
});
if (!response.ok) throw new Error(await readFetchError(response, "请求失败"));
const contentType = response.headers.get("content-type") || "";
if (!response.body || !contentType.includes("text/event-stream")) return parseChatCompletionPayload(await readJsonPayload<ChatCompletionPayload>(response, "请求失败"));
if (!response.body || !contentType.includes("text/event-stream")) {
const result = parseChatCompletionPayload(await readJsonPayload<ChatCompletionPayload>(response, "请求失败"));
if (result.reasoning) options?.onReasoning?.(result.reasoning);
return result;
}
const reader = response.body.getReader();
const decoder = new TextDecoder();
const state: ChatCompletionStreamState = { buffer: "", text: "", toolCalls: new Map() };
const state: ChatCompletionStreamState = { buffer: "", text: "", reasoning: "", toolCalls: new Map() };
for (;;) {
const { done, value } = await reader.read();
if (done) break;
consumeChatCompletionStreamText(state, decoder.decode(value, { stream: true }), onDelta);
consumeChatCompletionStreamText(state, decoder.decode(value, { stream: true }), onDelta, options?.onReasoning);
if (state.error) throw new Error(state.error);
}
consumeChatCompletionStreamText(state, decoder.decode(), onDelta, true);
consumeChatCompletionStreamText(state, decoder.decode(), onDelta, options?.onReasoning, true);
if (state.error) throw new Error(state.error);
const toolCalls = Array.from(state.toolCalls.entries())
.sort(([left], [right]) => left - right)
.map(([, call]) => ({ id: call.id, type: "function" as const, function: { name: call.name, arguments: call.arguments || "{}" } }))
.filter((call) => call.id && call.function.name);
return { content: state.text, toolCalls };
return { content: state.text, toolCalls, ...(state.reasoning ? { reasoning: state.reasoning } : {}) };
}
function toGeminiBody(config: AiConfig, messages: ResponseInputMessage[], extra?: Record<string, unknown>) {
@@ -653,18 +695,22 @@ function toGeminiContents(messages: ResponseInputMessage[]): GeminiContent[] {
function toGeminiParts(content: ResponseMessageContent): GeminiPart[] {
if (!Array.isArray(content)) return [{ text: String(content || "") }];
return content.map((item) => (item.type === "text" ? { text: item.text } : toGeminiImagePart(item.image_url.url)));
return content.map((item) => {
if (item.type === "text") return { text: item.text };
if (item.type === "image_url") return toGeminiFilePart(item.image_url.url, "image/png");
return toGeminiFilePart(item.file_url.url, item.file_url.mimeType);
});
}
function toGeminiImagePart(url: string): GeminiPart {
function toGeminiFilePart(url: string, mimeType: string): GeminiPart {
const match = url.match(/^data:([^;,]+);base64,(.+)$/);
if (match) return { inlineData: { mimeType: match[1], data: match[2] } };
return { fileData: { fileUri: url, mimeType: "image/png" } };
return { fileData: { fileUri: url, mimeType } };
}
function geminiTextContent(content: ResponseMessageContent) {
if (!Array.isArray(content)) return String(content || "");
return content.map((item) => (item.type === "text" ? item.text : item.image_url.url)).join("\n");
return content.map((item) => item.type === "text" ? item.text : item.type === "image_url" ? item.image_url.url : `${item.file_url.name}: ${item.file_url.url}`).join("\n");
}
function jsonObject(value: string): Record<string, unknown> {
@@ -706,39 +752,41 @@ async function requestGeminiStreamingResponse(config: AiConfig, body: Record<str
if (!response.ok) throw new Error(await readFetchError(response, "请求失败"));
if (!response.body) {
const payload = (await response.json()) as GeminiPayload;
return parseGeminiToolResponse(payload);
const result = parseGeminiToolResponse(payload);
if (result.reasoning) options?.onReasoning?.(result.reasoning);
return result;
}
const reader = response.body.getReader();
const decoder = new TextDecoder();
const state: GeminiStreamState = { buffer: "", text: "", toolCalls: [] };
const state: GeminiStreamState = { buffer: "", text: "", reasoning: "", toolCalls: [] };
for (;;) {
const { done, value } = await reader.read();
if (done) break;
consumeGeminiStreamText(state, decoder.decode(value, { stream: true }), onDelta);
consumeGeminiStreamText(state, decoder.decode(value, { stream: true }), onDelta, options?.onReasoning);
if (state.error) throw new Error(state.error);
}
consumeGeminiStreamText(state, decoder.decode(), onDelta, true);
consumeGeminiStreamText(state, decoder.decode(), onDelta, options?.onReasoning, true);
if (state.error) throw new Error(state.error);
return { content: state.text, toolCalls: state.toolCalls };
return { content: state.text, toolCalls: state.toolCalls, ...(state.reasoning ? { reasoning: state.reasoning } : {}) };
}
function consumeGeminiStreamText(state: GeminiStreamState, text: string, onDelta?: (text: string) => void, flush = false) {
function consumeGeminiStreamText(state: GeminiStreamState, text: string, onDelta?: (text: string) => void, onReasoning?: (text: string) => void, flush = false) {
state.buffer += text;
for (;;) {
const match = state.buffer.match(/\r?\n\r?\n/);
if (!match) break;
const index = match.index ?? 0;
consumeGeminiStreamBlock(state.buffer.slice(0, index), state, onDelta);
consumeGeminiStreamBlock(state.buffer.slice(0, index), state, onDelta, onReasoning);
state.buffer = state.buffer.slice(index + match[0].length);
}
if (flush && state.buffer.trim()) {
consumeGeminiStreamBlock(state.buffer, state, onDelta);
consumeGeminiStreamBlock(state.buffer, state, onDelta, onReasoning);
state.buffer = "";
}
}
function consumeGeminiStreamBlock(block: string, state: GeminiStreamState, onDelta?: (text: string) => void) {
function consumeGeminiStreamBlock(block: string, state: GeminiStreamState, onDelta?: (text: string) => void, onReasoning?: (text: string) => void) {
const data = block
.split(/\r?\n/)
.filter((line) => line.startsWith("data:"))
@@ -747,6 +795,10 @@ function consumeGeminiStreamBlock(block: string, state: GeminiStreamState, onDel
.trim();
if (!data || data === "[DONE]") return;
const result = parseGeminiToolResponse(JSON.parse(data) as GeminiPayload);
if (result.reasoning) {
state.reasoning += result.reasoning;
onReasoning?.(state.reasoning);
}
if (result.content) {
state.text += result.content;
onDelta?.(state.text);
@@ -757,7 +809,8 @@ function consumeGeminiStreamBlock(block: string, state: GeminiStreamState, onDel
function parseGeminiToolResponse(payload: GeminiPayload): ToolResponseResult {
validateGeminiPayload(payload);
const parts = payload.candidates?.flatMap((candidate) => candidate.content?.parts || []) || [];
const content = parts.map((part) => part.text || "").join("");
const content = parts.filter((part) => !part.thought).map((part) => part.text || "").join("");
const reasoning = parts.filter((part) => part.thought).map((part) => part.text || "").join("");
const toolCalls = parts
.map((part) => part.functionCall)
.filter((call): call is NonNullable<GeminiPart["functionCall"]> => Boolean(call?.name))
@@ -771,7 +824,7 @@ function parseGeminiToolResponse(payload: GeminiPayload): ToolResponseResult {
...(thoughtSignature ? { thoughtSignature } : {}),
};
});
return { content, toolCalls };
return { content, toolCalls, ...(reasoning ? { reasoning } : {}) };
}
async function requestGeminiImages(config: AiConfig, prompt: string, references: ReferenceImage[], count: number, options?: RequestOptions) {
@@ -782,7 +835,7 @@ async function requestGeminiImages(config: AiConfig, prompt: string, references:
async function requestGeminiImagesOnce(config: AiConfig, prompt: string, references: ReferenceImage[], options?: RequestOptions) {
const parts: GeminiPart[] = [{ text: prompt }];
for (const image of references) {
parts.push(toGeminiImagePart(await imageToDataUrl(image)));
parts.push(toGeminiFilePart(await imageToDataUrl(image), image.type || "image/png"));
}
const request = channelRequest(config, geminiApiUrl(config, "generateContent"), geminiHeaders(config));
const response = await axios.post<GeminiPayload>(
@@ -860,6 +913,7 @@ export async function requestGeneration(config: AiConfig, prompt: string, option
model: requestConfig.model,
prompt: withSystemPrompt(requestConfig, prompt),
n,
watermark: false,
...(normalizedRequestSize ? { [normalizedRequestSize.parameter]: normalizedRequestSize.value } : {}),
}
: {
@@ -954,6 +1008,7 @@ export async function requestEdit(config: AiConfig, prompt: string, references:
model: requestConfig.model,
prompt: withSystemPrompt(requestConfig, requestPrompt),
n,
watermark: false,
...(requestSize ? { [requestSize.parameter]: requestSize.value } : {}),
...(images.length === 1 ? { image: images[0] } : images.length > 1 ? { image: images } : {}),
},
@@ -1113,8 +1168,6 @@ export async function fetchImageModels(config: Pick<AiConfig, "baseUrl" | "apiKe
}
}
export type ChannelModelCatalogItem = { id: string; supportedEndpointTypes?: string[] };
export type ChannelModelFetchResult = { models: string[]; catalog: ChannelModelCatalogItem[] };
export async function fetchChannelModels(channel: ModelChannel, viaBackend = false): Promise<ChannelModelFetchResult> {
@@ -1141,8 +1194,8 @@ export async function fetchChannelModels(channel: ModelChannel, viaBackend = fal
}
const catalog = new Map<string, ChannelModelCatalogItem>();
for (const item of response.data.data?.models || []) {
const entry = typeof item === "string" ? { id: item.trim() } : { id: String(item.id || "").trim(), supportedEndpointTypes: Array.isArray(item.supportedEndpointTypes) ? item.supportedEndpointTypes : undefined };
if (!entry.id) continue;
const entry = typeof item === "string" ? sanitizeChannelModelCatalogItem({ id: item }) : sanitizeChannelModelCatalogItem(item);
if (!entry) continue;
const existing = catalog.get(entry.id);
catalog.set(entry.id, existing || entry);
}

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@@ -70,6 +70,7 @@ export type ProjectAssetFolder = {
parentId?: string;
name: string;
style: "glass" | "stacked" | "midnight" | "paper" | "cinema" | "compact" | string;
theme: "aurora" | "obsidian" | "ember" | "pearl" | string;
position: number;
createdAt: string;
updatedAt: string;
@@ -258,11 +259,11 @@ export function listProjectAssetFolders(projectId: string, signal?: AbortSignal)
return request<{ folders: ProjectAssetFolder[] }>(api.get(`/projects/${encodeURIComponent(projectId)}/asset-folders`, { signal }));
}
export function createProjectAssetFolder(projectId: string, input: { name: string; parentId?: string; style?: ProjectAssetFolder["style"] }) {
export function createProjectAssetFolder(projectId: string, input: { name: string; parentId?: string; style?: ProjectAssetFolder["style"]; theme?: ProjectAssetFolder["theme"] }) {
return request<{ folder: ProjectAssetFolder }>(api.post(`/projects/${encodeURIComponent(projectId)}/asset-folders`, input));
}
export function updateProjectAssetFolder(projectId: string, folderId: string, input: { name?: string; parentId?: string; style?: ProjectAssetFolder["style"] }) {
export function updateProjectAssetFolder(projectId: string, folderId: string, input: { name?: string; parentId?: string; style?: ProjectAssetFolder["style"]; theme?: ProjectAssetFolder["theme"] }) {
return request<{ folder: ProjectAssetFolder }>(api.patch(`/projects/${encodeURIComponent(projectId)}/asset-folders/${encodeURIComponent(folderId)}`, input));
}

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@@ -142,7 +142,7 @@ export function resourceFileUrl(id: string) {
function resourceProxyFileUrl(id: string) {
const base = String(apiBaseURL).replace(/\/+$/, "");
return `${base}/resources/${encodeURIComponent(id)}/file`;
return `${base}/resources/${encodeURIComponent(id)}/file?proxy=1`;
}
export async function resolveResourceUrl(storageKey?: string, fallback = "") {

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@@ -6,7 +6,7 @@ import { getMediaBlob, uploadMediaFile, type UploadedFile } from "@/services/fil
import { getResourceOSSUrl } from "@/services/api/resources";
import { channelRequest } from "@/services/api/custom-channel-relay";
import { imageToDataUrl } from "@/services/image-storage";
import { modelCapabilityConfigFor, videoDurationAllowed } from "@/lib/model-capabilities";
import { modelCapabilityConfigFor, videoDurationAllowed, videoResolutionRequest } from "@/lib/model-capabilities";
import { boolConfig, buildSeedancePromptText, isArkPlanBaseUrl, isSeedanceVideoConfig, normalizeSeedanceDuration, normalizeSeedanceRatio, normalizeSeedanceResolution, seedanceVideoReferenceError, SEEDANCE_REFERENCE_LIMITS } from "@/lib/seedance-video";
import { buildApiUrl, isSystemProxyBaseUrl, modelOptionName, resolveModelRequestConfig, type AiConfig } from "@/stores/use-config-store";
import type { ReferenceImage } from "@/types/image";
@@ -85,6 +85,7 @@ export async function createVideoGenerationTask(config: AiConfig, prompt: string
function assertVideoCapability(profile: NonNullable<ReturnType<typeof modelCapabilityConfigFor>["video"]>, references: ReferenceImage[], videoReferences: ReferenceVideo[], audioReferences: ReferenceAudio[], seconds: string) {
if (references.length > profile.references.maxImages || videoReferences.length > profile.references.maxVideos || audioReferences.length > profile.references.maxAudios) throw new Error("参考素材数量超过当前模型限制");
if (references.length < profile.references.minImages) throw new Error(`当前视频模型至少需要 ${profile.references.minImages} 张参考图`);
if (!videoDurationAllowed(profile, Number(seconds))) throw new Error("视频时长不在当前模型支持范围内");
if (profile.references.maxImageBytes > 0 && references.some((image) => (image.bytes || 0) > profile.references.maxImageBytes)) throw new Error("参考图片文件超过当前模型大小限制");
for (const video of videoReferences) {
@@ -116,12 +117,13 @@ async function createVideoGenerationsTask(config: ResolvedAiConfig, model: strin
Promise.all(audioReferences.map((item) => resolveVideoGenerationsUrl(item.url, item.storageKey))),
]);
const profile = modelCapabilityConfigFor(config, model).video!;
const resolution = newAPIVideoResolutionRequest(profile, config.vquality, modelOptionName(model));
const payload = {
model: modelOptionName(model),
prompt: prompt.trim(),
seconds: normalizeVideoSeconds(config.videoSeconds),
aspect_ratio: normalizeVideoSize(config.size) || "16:9",
resolution: normalizeVideoResolution(config.vquality),
...(resolution ? { resolution } : {}),
...(profile.generateAudio.supported ? { generate_audio: boolConfig(config.videoGenerateAudio, profile.generateAudio.default) } : {}),
...(imageUrls.length ? { image_urls: imageUrls } : {}),
...(videoUrls.length ? { video_urls: videoUrls } : {}),
@@ -137,6 +139,11 @@ async function createVideoGenerationsTask(config: ResolvedAiConfig, model: strin
}
}
function newAPIVideoResolutionRequest(profile: NonNullable<ReturnType<typeof modelCapabilityConfigFor>["video"]>, value: string, model: string) {
if (model.trim().toLowerCase() === "grok-video-1.5-1080p") return "1080p";
return videoResolutionRequest(profile, value);
}
async function pollVideoGenerationsTask(config: ResolvedAiConfig, task: VideoGenerationTask, options?: RequestOptions): Promise<VideoGenerationTaskState> {
try {
const raw = await channelGet<ApiEnvelope<Record<string, unknown>>>(config, aiApiUrl(config, `/video/generations/${encodeURIComponent(task.id)}`), options);
@@ -356,7 +363,8 @@ async function createOpenAIVideoTask(config: ResolvedAiConfig, model: string, pr
body.append("prompt", prompt);
body.append("seconds", normalizeVideoSeconds(config.videoSeconds));
if (normalizeVideoSize(config.size)) body.append("size", normalizeVideoSize(config.size)!);
body.append("resolution_name", normalizeVideoResolution(config.vquality));
const resolution = videoResolutionRequest(modelCapabilityConfigFor(config, model).video!, config.vquality);
if (resolution) body.append("resolution_name", resolution);
body.append("preset", "normal");
const files = await Promise.all(references.slice(0, 7).map(async (image) => dataUrlToFile({ ...image, dataUrl: await imageToDataUrl(image) })));
files.forEach((file) => body.append("input_reference[]", file));
@@ -623,6 +631,7 @@ function normalizeVideoSize(value: string) {
function normalizeVideoResolution(value: string) {
if (value === "low") return "480p";
if (value === "auto" || value === "high" || value === "medium") return "720p";
if (value.toLowerCase() === "2k") return "1440p";
if (value.toLowerCase() === "4k") return "2160p";
const resolution = value.replace(/p$/i, "") || "720";
return `${resolution}p`;