Merge branch '108' of https://github.com/HBAI-Ltd/Toonflow-app into 108
# Conflicts: # src/router.ts # src/types/database.d.ts
This commit is contained in:
commit
9da2610cde
@ -1,4 +1,4 @@
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// @routes-hash 4320384558d78e1f5a302e2126dd9699
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// @routes-hash 6f4b1b062e88dc5cb13583c50c217537
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import { Express } from "express";
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import route1 from "./routes/agents/clearMemory";
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@ -55,13 +55,13 @@ import route51 from "./routes/production/getFlowData";
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import route52 from "./routes/production/getProductionData";
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import route53 from "./routes/production/getStoryboardData";
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import route54 from "./routes/production/saveFlowData";
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import route55 from "./routes/production/storyboard/downPreviewImage";
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import route56 from "./routes/production/storyboard/getStoryboardData";
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import route57 from "./routes/production/storyboard/previewImage";
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import route58 from "./routes/production/workbench/confirmSelection";
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import route59 from "./routes/production/workbench/delVideo";
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import route60 from "./routes/production/workbench/generateVideo";
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import route61 from "./routes/production/workbench/generateVideoPrompt";
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import route55 from "./routes/production/storyboard/batchGenerateImage";
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import route56 from "./routes/production/storyboard/downPreviewImage";
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import route57 from "./routes/production/storyboard/getStoryboardData";
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import route58 from "./routes/production/storyboard/previewImage";
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import route59 from "./routes/production/workbench/confirmSelection";
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import route60 from "./routes/production/workbench/delVideo";
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import route61 from "./routes/production/workbench/generateVideo";
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import route62 from "./routes/production/workbench/getChatLines";
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import route63 from "./routes/production/workbench/getVideoModelDetail";
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import route64 from "./routes/production/workbench/videoPolling";
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@ -171,13 +171,13 @@ export default async (app: Express) => {
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app.use("/api/production/getProductionData", route52);
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app.use("/api/production/getStoryboardData", route53);
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app.use("/api/production/saveFlowData", route54);
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app.use("/api/production/storyboard/downPreviewImage", route55);
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app.use("/api/production/storyboard/getStoryboardData", route56);
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app.use("/api/production/storyboard/previewImage", route57);
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app.use("/api/production/workbench/confirmSelection", route58);
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app.use("/api/production/workbench/delVideo", route59);
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app.use("/api/production/workbench/generateVideo", route60);
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app.use("/api/production/workbench/generateVideoPrompt", route61);
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app.use("/api/production/storyboard/batchGenerateImage", route55);
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app.use("/api/production/storyboard/downPreviewImage", route56);
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app.use("/api/production/storyboard/getStoryboardData", route57);
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app.use("/api/production/storyboard/previewImage", route58);
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app.use("/api/production/workbench/confirmSelection", route59);
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app.use("/api/production/workbench/delVideo", route60);
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app.use("/api/production/workbench/generateVideo", route61);
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app.use("/api/production/workbench/getChatLines", route62);
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app.use("/api/production/workbench/getVideoModelDetail", route63);
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app.use("/api/production/workbench/videoPolling", route64);
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74
src/routes/production/storyboard/batchGenerateImage.ts
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74
src/routes/production/storyboard/batchGenerateImage.ts
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@ -0,0 +1,74 @@
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import express from "express";
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import u from "@/utils";
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import { z } from "zod";
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import sharp from "sharp";
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import { success } from "@/lib/responseFormat";
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import { validateFields } from "@/middleware/middleware";
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import { Output } from "ai";
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const router = express.Router();
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export default router.post(
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"/",
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validateFields({
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storyboardIds: z.array(z.number()),
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projectId: z.number(),
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}),
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async (req, res) => {
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const { storyboardIds, projectId } = req.body;
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const projectSettingData = await u.db("o_project").where("id", projectId).select("imageModel", "imageQuality", "artStyle").first();
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const sceneArkPrompt = u.getArtPrompt(projectSettingData?.artStyle || "", "art_storyboard");
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const storyboardData = await u.db("o_storyboard").whereIn("id", storyboardIds).select("id", "description", "title");
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const { text } = await u.Ai.Text("universalAi").invoke({
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system: `
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你需要根据用户提供的分镜的标题与描述,结合当前项目的美术风格,为我优化提示词以便生成更符合项目美术风格的分镜图片。请你只优化提示词,不要添加任何额外的描述性文字,请以JSON格式输出: [{id:"对应分镜ID",prompt:"分镜提示词"}]。
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美术风格:${sceneArkPrompt}`,
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messages: [
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{
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role: "user",
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content: `一下是我的分镜内容\n ${storyboardData.map((s) => `分镜ID:${s.id},分镜描述:${s.description},分镜标题:${s.title}`).join("\n")}`,
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},
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],
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output: Output.object({
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schema: z.array(
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z.object({
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prompt: z.string().describe("优化后的提示词"),
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}),
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),
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}),
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});
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for (const item of storyboardData) {
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const repeloadObj = {
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prompt: text,
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size: projectSettingData?.imageQuality as "1K" | "2K" | "4K",
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aspectRatio: "16:9",
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};
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u.Ai.Image(projectSettingData?.imageModel as `${string}:${string}`).run({
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prompt: text,
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imageBase64: [],
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size: projectSettingData?.imageQuality as "1K" | "2K" | "4K",
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aspectRatio: "16:9",
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taskClass: "生成图片",
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describe: "资产图片生成",
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relatedObjects: JSON.stringify(repeloadObj),
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projectId: projectId,
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});
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// .then(async (imageCls) => {
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// const savePath = `/${resTool.data.projectId}/assets/${resTool.data.scriptId}/${u.uuid()}.jpg`;
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// await imageCls.save(savePath);
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// const obj = {
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// ...item,
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// id: item.assetId,
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// src: await u.oss.getFileUrl(savePath),
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// state: "已完成",
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// };
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//更新对应数据库
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// await u.db("o_assets").where("id", item.assetId).update({ imageId: imageId });
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// await u.db("o_image").where({ id: imageId }).update({ state: "已完成", filePath: savePath });
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// });
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}
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return res.status(200).send(success());
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},
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);
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22
src/types/database.d.ts
vendored
22
src/types/database.d.ts
vendored
@ -1,18 +1,12 @@
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// @db-hash 06e91b1ef334867ed5ea41d5a857d07a
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// @db-hash f7bc2fdb80756d5536929eb47155578b
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//该文件由脚本自动生成,请勿手动修改
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export interface _o_project_old_20260328 {
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'artStyle'?: string | null;
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export interface _o_script_old_20260327 {
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'content'?: string | null;
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'createTime'?: number | null;
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'id'?: number | null;
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'imageModel'?: string | null;
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'intro'?: string | null;
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'id'?: number;
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'name'?: string | null;
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'projectType'?: string | null;
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'type'?: string | null;
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'userId'?: number | null;
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'videoModel'?: string | null;
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'videoRatio'?: string | null;
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'projectId'?: number | null;
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}
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export interface memories {
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'content': string;
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@ -60,7 +54,6 @@ export interface o_assets {
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'name'?: string | null;
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'projectId'?: number | null;
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'prompt'?: string | null;
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'promptState'?: string | null;
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'remark'?: string | null;
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'scriptId'?: number | null;
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'startTime'?: number | null;
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@ -180,7 +173,7 @@ export interface o_storyboard {
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'filePath'?: string | null;
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'frameMode'?: string | null;
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'id'?: number;
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'index'?: number | null;
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'index'?: string | null;
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'lines'?: string | null;
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'mode'?: string | null;
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'model'?: string | null;
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@ -191,7 +184,6 @@ export interface o_storyboard {
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'sound'?: string | null;
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'state'?: string | null;
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'title'?: string | null;
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'videoPrompt'?: string | null;
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}
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export interface o_tasks {
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'describe'?: string | null;
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@ -246,7 +238,7 @@ export interface o_videoConfig {
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}
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export interface DB {
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"_o_project_old_20260328": _o_project_old_20260328;
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"_o_script_old_20260327": _o_script_old_20260327;
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"memories": memories;
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"o_agentDeploy": o_agentDeploy;
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"o_agentWorkData": o_agentWorkData;
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