增加分镜资产图片生成

This commit is contained in:
zhishi 2026-03-30 16:02:56 +08:00
parent 59b28459b3
commit c31a61b55c
9 changed files with 519 additions and 301 deletions

View File

@ -129,11 +129,11 @@ function createSubAgent(parentCtx: AgentContext) {
"\n" +
[
"你可以使用如下XML格式写入工作区\n```",
"剧本:<script>内容</script>",
"拍摄计划:<scriptPlan>内容</scriptPlan>",
"分镜表:<storyboardTable>内容</storyboardTable>",
"```",
].join("\n");
// "剧本:<script>内容</script>",
return runAgent({
prompt,

View File

@ -59,12 +59,6 @@ const flowDataSchema = z.object({
assets: z.array(assetItemSchema).describe("衍生资产"),
storyboardTable: z.string().describe("分镜表"),
storyboard: z.array(storyboardSchema).describe("分镜面板"),
workbench: workbenchDataSchema.describe("工作台配置"),
poster: z
.object({
items: z.array(posterItemSchema).describe("海报项目列表"),
})
.describe("海报配置"),
});
export type FlowData = z.infer<typeof flowDataSchema>;
@ -154,10 +148,46 @@ export default (toolCpnfig: ToolConfig) => {
return res ?? "删除成功";
},
}),
add_storyboard: tool({
description: "新增或更新分镜面板",
inputSchema: z.object({
id: z.number().nullable().describe("分镜面板ID,如果新增则为空"),
title: z.string().describe("分镜面板名称"),
desc: z.string().describe("分镜面板描述"),
group: z.number().describe("分镜面板分组,根据这个字段 对分镜图片,进行同时生成视频,例如 同一分组的两张图片会被用于首尾帧生成视频"),
}),
execute: async (storyboard) => {
const thinking = msg.thinking("正在操作资产...");
const { projectId, scriptId } = resTool.data;
const createTime = Date.now();
console.log("%c Line:161 🍤 storyboard", "background:#e41a6a", storyboard);
const data = {
id: storyboard.id ?? undefined,
title: storyboard.title,
description: storyboard.desc,
createTime,
scriptId,
};
if (storyboard.id) {
await u.db("o_storyboard").where("id", storyboard.id).update(data);
thinking.appendText(`已更新分镜面板ID: ${storyboard.id}\n`);
} else {
const [insertedId] = await u.db("o_storyboard").insert(data);
data.id = insertedId;
thinking.appendText(`已新增分镜面板ID: ${insertedId}\n`);
}
const res = await new Promise((resolve) => socket.emit("addStoryboard", data, (res: any) => resolve(res)));
thinking.updateTitle("分镜面板操作完成");
thinking.complete();
return res ?? "操作成功";
},
}),
generate_deriveAsset: tool({
description: "生成衍生资产",
inputSchema: z.object({
id: z.number().describe("衍生资产ID"),
id: z.array(z.number()).describe("需要生成的 衍生资产ID"),
}),
execute: async ({ id }) => {
const thinking = msg.thinking("正在生成衍生资产...");
@ -169,11 +199,13 @@ export default (toolCpnfig: ToolConfig) => {
},
}),
generate_storyboard: tool({
description: "生成分镜",
inputSchema: z.object({}),
execute: async ({ script }) => {
description: "生成分镜图片",
inputSchema: z.object({
storyboardIds: z.array(z.number()).describe("分镜ID列表"),
}),
execute: async ({ storyboardIds }) => {
const thinking = msg.thinking("正在生成分镜...");
const res = await new Promise((resolve) => socket.emit("generateStoryboard", { script }, (res: any) => resolve(res)));
const res = await new Promise((resolve) => socket.emit("generateStoryboard", { storyboardIds }, (res: any) => resolve(res)));
thinking.appendText("生成的分镜数据:\n" + JSON.stringify(res, null, 2));
thinking.updateTitle("分镜生成完成");
thinking.complete();

View File

@ -1,4 +1,4 @@
// @routes-hash c1392b39a921d712296ccb6b4aea3507
// @routes-hash 845d6aff66aab1f458a9f08f4f2eed34
import { Express } from "express";
import route1 from "./routes/agents/clearMemory";
@ -45,77 +45,80 @@ import route41 from "./routes/novel/getNovelIndex";
import route42 from "./routes/novel/updateNovel";
import route43 from "./routes/other/deleteAllData";
import route44 from "./routes/other/getVersion";
import route45 from "./routes/production/assets/getAssetsData";
import route46 from "./routes/production/editImage/generateFlowImage";
import route47 from "./routes/production/editImage/getImageFlow";
import route48 from "./routes/production/editImage/saveImageFlow";
import route49 from "./routes/production/editImage/updateImageFlow";
import route50 from "./routes/production/exportImage";
import route51 from "./routes/production/getFlowData";
import route52 from "./routes/production/getProductionData";
import route53 from "./routes/production/getStoryboardData";
import route54 from "./routes/production/saveFlowData";
import route55 from "./routes/production/storyboard/batchGenerateImage";
import route56 from "./routes/production/storyboard/downPreviewImage";
import route57 from "./routes/production/storyboard/getStoryboardData";
import route58 from "./routes/production/storyboard/previewImage";
import route59 from "./routes/production/workbench/confirmSelection";
import route60 from "./routes/production/workbench/delVideo";
import route61 from "./routes/production/workbench/generateVideo";
import route62 from "./routes/production/workbench/generateVideoPrompt";
import route63 from "./routes/production/workbench/getChatLines";
import route64 from "./routes/production/workbench/getVideoModelDetail";
import route65 from "./routes/production/workbench/videoPolling";
import route66 from "./routes/project/addProject";
import route67 from "./routes/project/addVisual";
import route68 from "./routes/project/addVisualManual";
import route69 from "./routes/project/deleteVisualManual";
import route70 from "./routes/project/delProject";
import route71 from "./routes/project/editProject";
import route72 from "./routes/project/editVisualManual";
import route73 from "./routes/project/getProject";
import route74 from "./routes/project/getVisualManual";
import route75 from "./routes/project/visualManual";
import route76 from "./routes/script/addScript";
import route77 from "./routes/script/delScript";
import route78 from "./routes/script/exportScript";
import route79 from "./routes/script/extractAssets";
import route80 from "./routes/script/getScrptApi";
import route81 from "./routes/script/pollScriptAssets";
import route82 from "./routes/script/updateScript";
import route83 from "./routes/scriptAgent/getPlanData";
import route84 from "./routes/scriptAgent/setPlanData";
import route85 from "./routes/setting/about/checkUpdate";
import route86 from "./routes/setting/about/downloadApp";
import route87 from "./routes/setting/agentDeploy/agentSetKey";
import route88 from "./routes/setting/agentDeploy/deployAgentModel";
import route89 from "./routes/setting/agentDeploy/getAgentDeploy";
import route90 from "./routes/setting/dbConfig/clearData";
import route91 from "./routes/setting/dev/getSwitchAiDevTool";
import route92 from "./routes/setting/dev/updateSwitchAiDevTool";
import route93 from "./routes/setting/fileManagement/openFolder";
import route94 from "./routes/setting/getTextModel";
import route95 from "./routes/setting/loginConfig/getUser";
import route96 from "./routes/setting/loginConfig/updateUserPwd";
import route97 from "./routes/setting/memoryConfig/delAllMemory";
import route98 from "./routes/setting/memoryConfig/getMemory";
import route99 from "./routes/setting/memoryConfig/sureMemory";
import route100 from "./routes/setting/promptManage/getPrompt";
import route101 from "./routes/setting/promptManage/updatePrompt";
import route102 from "./routes/setting/skillManagement/getSkillContent";
import route103 from "./routes/setting/skillManagement/getSkillList";
import route104 from "./routes/setting/skillManagement/saveSkillContent";
import route105 from "./routes/setting/vendorConfig/addVendor";
import route106 from "./routes/setting/vendorConfig/deleteVendor";
import route107 from "./routes/setting/vendorConfig/getVendorList";
import route108 from "./routes/setting/vendorConfig/modelTest";
import route109 from "./routes/setting/vendorConfig/updateCode";
import route110 from "./routes/setting/vendorConfig/updateVendor";
import route111 from "./routes/task/getProject";
import route112 from "./routes/task/getTaskApi";
import route113 from "./routes/task/getTaskCategories";
import route114 from "./routes/task/taskDetails";
import route115 from "./routes/test/test";
import route45 from "./routes/production/assets/batchGenerateAssetsImage";
import route46 from "./routes/production/assets/getAssetsData";
import route47 from "./routes/production/assets/pollingImage";
import route48 from "./routes/production/editImage/generateFlowImage";
import route49 from "./routes/production/editImage/getImageFlow";
import route50 from "./routes/production/editImage/saveImageFlow";
import route51 from "./routes/production/editImage/updateImageFlow";
import route52 from "./routes/production/exportImage";
import route53 from "./routes/production/getFlowData";
import route54 from "./routes/production/getProductionData";
import route55 from "./routes/production/getStoryboardData";
import route56 from "./routes/production/saveFlowData";
import route57 from "./routes/production/storyboard/batchGenerateImage";
import route58 from "./routes/production/storyboard/downPreviewImage";
import route59 from "./routes/production/storyboard/getStoryboardData";
import route60 from "./routes/production/storyboard/pollingImage";
import route61 from "./routes/production/storyboard/previewImage";
import route62 from "./routes/production/workbench/confirmSelection";
import route63 from "./routes/production/workbench/delVideo";
import route64 from "./routes/production/workbench/generateVideo";
import route65 from "./routes/production/workbench/generateVideoPrompt";
import route66 from "./routes/production/workbench/getChatLines";
import route67 from "./routes/production/workbench/getVideoModelDetail";
import route68 from "./routes/production/workbench/videoPolling";
import route69 from "./routes/project/addProject";
import route70 from "./routes/project/addVisual";
import route71 from "./routes/project/addVisualManual";
import route72 from "./routes/project/deleteVisualManual";
import route73 from "./routes/project/delProject";
import route74 from "./routes/project/editProject";
import route75 from "./routes/project/editVisualManual";
import route76 from "./routes/project/getProject";
import route77 from "./routes/project/getVisualManual";
import route78 from "./routes/project/visualManual";
import route79 from "./routes/script/addScript";
import route80 from "./routes/script/delScript";
import route81 from "./routes/script/exportScript";
import route82 from "./routes/script/extractAssets";
import route83 from "./routes/script/getScrptApi";
import route84 from "./routes/script/pollScriptAssets";
import route85 from "./routes/script/updateScript";
import route86 from "./routes/scriptAgent/getPlanData";
import route87 from "./routes/scriptAgent/setPlanData";
import route88 from "./routes/setting/about/checkUpdate";
import route89 from "./routes/setting/about/downloadApp";
import route90 from "./routes/setting/agentDeploy/agentSetKey";
import route91 from "./routes/setting/agentDeploy/deployAgentModel";
import route92 from "./routes/setting/agentDeploy/getAgentDeploy";
import route93 from "./routes/setting/dbConfig/clearData";
import route94 from "./routes/setting/dev/getSwitchAiDevTool";
import route95 from "./routes/setting/dev/updateSwitchAiDevTool";
import route96 from "./routes/setting/fileManagement/openFolder";
import route97 from "./routes/setting/getTextModel";
import route98 from "./routes/setting/loginConfig/getUser";
import route99 from "./routes/setting/loginConfig/updateUserPwd";
import route100 from "./routes/setting/memoryConfig/delAllMemory";
import route101 from "./routes/setting/memoryConfig/getMemory";
import route102 from "./routes/setting/memoryConfig/sureMemory";
import route103 from "./routes/setting/promptManage/getPrompt";
import route104 from "./routes/setting/promptManage/updatePrompt";
import route105 from "./routes/setting/skillManagement/getSkillContent";
import route106 from "./routes/setting/skillManagement/getSkillList";
import route107 from "./routes/setting/skillManagement/saveSkillContent";
import route108 from "./routes/setting/vendorConfig/addVendor";
import route109 from "./routes/setting/vendorConfig/deleteVendor";
import route110 from "./routes/setting/vendorConfig/getVendorList";
import route111 from "./routes/setting/vendorConfig/modelTest";
import route112 from "./routes/setting/vendorConfig/updateCode";
import route113 from "./routes/setting/vendorConfig/updateVendor";
import route114 from "./routes/task/getProject";
import route115 from "./routes/task/getTaskApi";
import route116 from "./routes/task/getTaskCategories";
import route117 from "./routes/task/taskDetails";
import route118 from "./routes/test/test";
export default async (app: Express) => {
app.use("/api/agents/clearMemory", route1);
@ -162,75 +165,78 @@ export default async (app: Express) => {
app.use("/api/novel/updateNovel", route42);
app.use("/api/other/deleteAllData", route43);
app.use("/api/other/getVersion", route44);
app.use("/api/production/assets/getAssetsData", route45);
app.use("/api/production/editImage/generateFlowImage", route46);
app.use("/api/production/editImage/getImageFlow", route47);
app.use("/api/production/editImage/saveImageFlow", route48);
app.use("/api/production/editImage/updateImageFlow", route49);
app.use("/api/production/exportImage", route50);
app.use("/api/production/getFlowData", route51);
app.use("/api/production/getProductionData", route52);
app.use("/api/production/getStoryboardData", route53);
app.use("/api/production/saveFlowData", route54);
app.use("/api/production/storyboard/batchGenerateImage", route55);
app.use("/api/production/storyboard/downPreviewImage", route56);
app.use("/api/production/storyboard/getStoryboardData", route57);
app.use("/api/production/storyboard/previewImage", route58);
app.use("/api/production/workbench/confirmSelection", route59);
app.use("/api/production/workbench/delVideo", route60);
app.use("/api/production/workbench/generateVideo", route61);
app.use("/api/production/workbench/generateVideoPrompt", route62);
app.use("/api/production/workbench/getChatLines", route63);
app.use("/api/production/workbench/getVideoModelDetail", route64);
app.use("/api/production/workbench/videoPolling", route65);
app.use("/api/project/addProject", route66);
app.use("/api/project/addVisual", route67);
app.use("/api/project/addVisualManual", route68);
app.use("/api/project/deleteVisualManual", route69);
app.use("/api/project/delProject", route70);
app.use("/api/project/editProject", route71);
app.use("/api/project/editVisualManual", route72);
app.use("/api/project/getProject", route73);
app.use("/api/project/getVisualManual", route74);
app.use("/api/project/visualManual", route75);
app.use("/api/script/addScript", route76);
app.use("/api/script/delScript", route77);
app.use("/api/script/exportScript", route78);
app.use("/api/script/extractAssets", route79);
app.use("/api/script/getScrptApi", route80);
app.use("/api/script/pollScriptAssets", route81);
app.use("/api/script/updateScript", route82);
app.use("/api/scriptAgent/getPlanData", route83);
app.use("/api/scriptAgent/setPlanData", route84);
app.use("/api/setting/about/checkUpdate", route85);
app.use("/api/setting/about/downloadApp", route86);
app.use("/api/setting/agentDeploy/agentSetKey", route87);
app.use("/api/setting/agentDeploy/deployAgentModel", route88);
app.use("/api/setting/agentDeploy/getAgentDeploy", route89);
app.use("/api/setting/dbConfig/clearData", route90);
app.use("/api/setting/dev/getSwitchAiDevTool", route91);
app.use("/api/setting/dev/updateSwitchAiDevTool", route92);
app.use("/api/setting/fileManagement/openFolder", route93);
app.use("/api/setting/getTextModel", route94);
app.use("/api/setting/loginConfig/getUser", route95);
app.use("/api/setting/loginConfig/updateUserPwd", route96);
app.use("/api/setting/memoryConfig/delAllMemory", route97);
app.use("/api/setting/memoryConfig/getMemory", route98);
app.use("/api/setting/memoryConfig/sureMemory", route99);
app.use("/api/setting/promptManage/getPrompt", route100);
app.use("/api/setting/promptManage/updatePrompt", route101);
app.use("/api/setting/skillManagement/getSkillContent", route102);
app.use("/api/setting/skillManagement/getSkillList", route103);
app.use("/api/setting/skillManagement/saveSkillContent", route104);
app.use("/api/setting/vendorConfig/addVendor", route105);
app.use("/api/setting/vendorConfig/deleteVendor", route106);
app.use("/api/setting/vendorConfig/getVendorList", route107);
app.use("/api/setting/vendorConfig/modelTest", route108);
app.use("/api/setting/vendorConfig/updateCode", route109);
app.use("/api/setting/vendorConfig/updateVendor", route110);
app.use("/api/task/getProject", route111);
app.use("/api/task/getTaskApi", route112);
app.use("/api/task/getTaskCategories", route113);
app.use("/api/task/taskDetails", route114);
app.use("/api/test/test", route115);
app.use("/api/production/assets/batchGenerateAssetsImage", route45);
app.use("/api/production/assets/getAssetsData", route46);
app.use("/api/production/assets/pollingImage", route47);
app.use("/api/production/editImage/generateFlowImage", route48);
app.use("/api/production/editImage/getImageFlow", route49);
app.use("/api/production/editImage/saveImageFlow", route50);
app.use("/api/production/editImage/updateImageFlow", route51);
app.use("/api/production/exportImage", route52);
app.use("/api/production/getFlowData", route53);
app.use("/api/production/getProductionData", route54);
app.use("/api/production/getStoryboardData", route55);
app.use("/api/production/saveFlowData", route56);
app.use("/api/production/storyboard/batchGenerateImage", route57);
app.use("/api/production/storyboard/downPreviewImage", route58);
app.use("/api/production/storyboard/getStoryboardData", route59);
app.use("/api/production/storyboard/pollingImage", route60);
app.use("/api/production/storyboard/previewImage", route61);
app.use("/api/production/workbench/confirmSelection", route62);
app.use("/api/production/workbench/delVideo", route63);
app.use("/api/production/workbench/generateVideo", route64);
app.use("/api/production/workbench/generateVideoPrompt", route65);
app.use("/api/production/workbench/getChatLines", route66);
app.use("/api/production/workbench/getVideoModelDetail", route67);
app.use("/api/production/workbench/videoPolling", route68);
app.use("/api/project/addProject", route69);
app.use("/api/project/addVisual", route70);
app.use("/api/project/addVisualManual", route71);
app.use("/api/project/deleteVisualManual", route72);
app.use("/api/project/delProject", route73);
app.use("/api/project/editProject", route74);
app.use("/api/project/editVisualManual", route75);
app.use("/api/project/getProject", route76);
app.use("/api/project/getVisualManual", route77);
app.use("/api/project/visualManual", route78);
app.use("/api/script/addScript", route79);
app.use("/api/script/delScript", route80);
app.use("/api/script/exportScript", route81);
app.use("/api/script/extractAssets", route82);
app.use("/api/script/getScrptApi", route83);
app.use("/api/script/pollScriptAssets", route84);
app.use("/api/script/updateScript", route85);
app.use("/api/scriptAgent/getPlanData", route86);
app.use("/api/scriptAgent/setPlanData", route87);
app.use("/api/setting/about/checkUpdate", route88);
app.use("/api/setting/about/downloadApp", route89);
app.use("/api/setting/agentDeploy/agentSetKey", route90);
app.use("/api/setting/agentDeploy/deployAgentModel", route91);
app.use("/api/setting/agentDeploy/getAgentDeploy", route92);
app.use("/api/setting/dbConfig/clearData", route93);
app.use("/api/setting/dev/getSwitchAiDevTool", route94);
app.use("/api/setting/dev/updateSwitchAiDevTool", route95);
app.use("/api/setting/fileManagement/openFolder", route96);
app.use("/api/setting/getTextModel", route97);
app.use("/api/setting/loginConfig/getUser", route98);
app.use("/api/setting/loginConfig/updateUserPwd", route99);
app.use("/api/setting/memoryConfig/delAllMemory", route100);
app.use("/api/setting/memoryConfig/getMemory", route101);
app.use("/api/setting/memoryConfig/sureMemory", route102);
app.use("/api/setting/promptManage/getPrompt", route103);
app.use("/api/setting/promptManage/updatePrompt", route104);
app.use("/api/setting/skillManagement/getSkillContent", route105);
app.use("/api/setting/skillManagement/getSkillList", route106);
app.use("/api/setting/skillManagement/saveSkillContent", route107);
app.use("/api/setting/vendorConfig/addVendor", route108);
app.use("/api/setting/vendorConfig/deleteVendor", route109);
app.use("/api/setting/vendorConfig/getVendorList", route110);
app.use("/api/setting/vendorConfig/modelTest", route111);
app.use("/api/setting/vendorConfig/updateCode", route112);
app.use("/api/setting/vendorConfig/updateVendor", route113);
app.use("/api/task/getProject", route114);
app.use("/api/task/getTaskApi", route115);
app.use("/api/task/getTaskCategories", route116);
app.use("/api/task/taskDetails", route117);
app.use("/api/test/test", route118);
}

View File

@ -0,0 +1,80 @@
import express from "express";
import u from "@/utils";
import { z } from "zod";
import sharp from "sharp";
import { success } from "@/lib/responseFormat";
import { validateFields } from "@/middleware/middleware";
import { Output } from "ai";
const router = express.Router();
export default router.post(
"/",
validateFields({
assetIds: z.array(z.number()),
projectId: z.number(),
scriptId: z.number(),
}),
async (req, res) => {
const { assetIds, projectId, scriptId } = req.body;
const projectSettingData = await u.db("o_project").where("id", projectId).select("imageModel", "imageQuality", "artStyle").first();
const assetsDataArr = await u.db("o_assets").whereIn("id", assetIds).select("id", "describe", "name", "type");
const rolePrompt = u.getArtPrompt(projectSettingData!.artStyle!, "art_character_derivative");
const toolPrompt = u.getArtPrompt(projectSettingData!.artStyle!, "art_prop_derivative");
const scenePrompt = u.getArtPrompt(projectSettingData!.artStyle!, "art_scene_derivative");
const promptRecord = {
role: rolePrompt,
tool: toolPrompt,
scene: scenePrompt,
};
for (const item of assetsDataArr) {
const { text } = await u.Ai.Text("universalAi").invoke({
system: `
便
${promptRecord[item.type! as keyof typeof promptRecord]}`,
messages: [
{
role: "user",
content: `资产名称:${item.name},资产描述:${item.describe}`,
},
],
});
console.log("%c Line:35 🎂 text", "background:#3f7cff", text);
const repeloadObj = {
prompt: text,
size: projectSettingData?.imageQuality as "1K" | "2K" | "4K",
aspectRatio: "16:9",
};
const [imageId] = await u.db("o_image").insert({
assetsId: item.id,
type: item.type,
state: "生成中",
resolution: projectSettingData?.imageQuality,
model: projectSettingData?.imageModel,
});
u.Ai.Image(projectSettingData?.imageModel as `${string}:${string}`)
.run({
prompt: text,
imageBase64: [],
size: projectSettingData?.imageQuality as "1K" | "2K" | "4K",
aspectRatio: "16:9",
taskClass: "生成图片",
describe: "资产图片生成",
relatedObjects: JSON.stringify(repeloadObj),
projectId: projectId,
})
.then(async (imageCls) => {
const savePath = `/${projectId}/assets/${scriptId}/${u.uuid()}.jpg`;
await imageCls.save(savePath);
// 更新对应数据库
await u.db("o_assets").where("id", item.id).update({ imageId: imageId });
await u.db("o_image").where({ id: imageId }).update({ state: "已完成", filePath: savePath });
});
}
return res.status(200).send(success());
},
);

View File

@ -0,0 +1,29 @@
import express from "express";
import u from "@/utils";
import { z } from "zod";
import { success } from "@/lib/responseFormat";
import { validateFields } from "@/middleware/middleware";
const router = express.Router();
export default router.post(
"/",
validateFields({
ids: z.array(z.number()),
}),
async (req, res) => {
const { ids } = req.body;
const data = await u
.db("o_assets")
.leftJoin("o_image", "o_assets.imageId", "o_image.id")
.whereIn("o_assets.id", ids)
.whereNot("o_image.state", "生成中")
.select("o_image.state", "o_assets.id", "o_image.filePath");
const result = await Promise.all(
data.map(async (item: any) => ({
...item,
src: item.filePath ? await u.oss.getFileUrl(item.filePath) : null,
})),
);
res.status(200).send(success(result));
},
);

View File

@ -12,61 +12,65 @@ export default router.post(
validateFields({
storyboardIds: z.array(z.number()),
projectId: z.number(),
scriptId: z.number(),
}),
async (req, res) => {
const { storyboardIds, projectId } = req.body;
const { storyboardIds, projectId, scriptId } = req.body;
const projectSettingData = await u.db("o_project").where("id", projectId).select("imageModel", "imageQuality", "artStyle").first();
const sceneArkPrompt = u.getArtPrompt(projectSettingData?.artStyle || "", "art_storyboard");
const storyboardData = await u.db("o_storyboard").whereIn("id", storyboardIds).select("id", "description", "title");
const { text } = await u.Ai.Text("universalAi").invoke({
system: `
for (const item of storyboardData) {
const { text } = await u.Ai.Text("universalAi").invoke({
system: `
便JSON格式输出: [{id:"对应分镜ID",prompt:"分镜提示词"}]
${sceneArkPrompt}`,
messages: [
{
role: "user",
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")}`,
},
],
output: Output.object({
schema: z.array(
z.object({
prompt: z.string().describe("优化后的提示词"),
}),
),
}),
});
for (const item of storyboardData) {
messages: [
{
role: "user",
content: `分镜描述:${item.description}`,
},
],
});
const repeloadObj = {
prompt: text,
size: projectSettingData?.imageQuality as "1K" | "2K" | "4K",
aspectRatio: "16:9",
};
u.Ai.Image(projectSettingData?.imageModel as `${string}:${string}`).run({
await u.db("o_storyboard").where("id", item.id).update({
prompt: text,
imageBase64: [],
size: projectSettingData?.imageQuality as "1K" | "2K" | "4K",
aspectRatio: "16:9",
taskClass: "生成图片",
describe: "资产图片生成",
relatedObjects: JSON.stringify(repeloadObj),
projectId: projectId,
state: "生成中",
});
// .then(async (imageCls) => {
// const savePath = `/${resTool.data.projectId}/assets/${resTool.data.scriptId}/${u.uuid()}.jpg`;
// await imageCls.save(savePath);
// const obj = {
// ...item,
// id: item.assetId,
// src: await u.oss.getFileUrl(savePath),
// state: "已完成",
// };
//更新对应数据库
// await u.db("o_assets").where("id", item.assetId).update({ imageId: imageId });
// await u.db("o_image").where({ id: imageId }).update({ state: "已完成", filePath: savePath });
// });
u.Ai.Image(projectSettingData?.imageModel as `${string}:${string}`)
.run({
prompt: text,
imageBase64: [],
size: projectSettingData?.imageQuality as "1K" | "2K" | "4K",
aspectRatio: "16:9",
taskClass: "生成图片",
describe: "资产图片生成",
relatedObjects: JSON.stringify(repeloadObj),
projectId: projectId,
})
.then(async (imageCls) => {
const savePath = `/${projectId}/assets/${scriptId}/${u.uuid()}.jpg`;
await imageCls.save(savePath);
await u.db("o_storyboard").where("id", item.id).update({
filePath: savePath,
state: "已完成",
});
})
.catch(async (e) => {
await u
.db("o_storyboard")
.where("id", item.id)
.update({
reason: u.error(e).message,
state: "生成失败",
});
});
}
return res.status(200).send(success());

View File

@ -0,0 +1,24 @@
import express from "express";
import u from "@/utils";
import { z } from "zod";
import { success } from "@/lib/responseFormat";
import { validateFields } from "@/middleware/middleware";
const router = express.Router();
export default router.post(
"/",
validateFields({
ids: z.array(z.number()),
}),
async (req, res) => {
const { ids } = req.body;
const data = await u.db("o_storyboard").whereIn("id", ids).whereNot("state", "生成中").select("id", "state", "reason", "filePath", "prompt");
const result = await Promise.all(
data.map(async (item: any) => ({
...item,
src: item.filePath ? await u.oss.getFileUrl(item.filePath) : null,
})),
);
res.status(200).send(success(result));
},
);

View File

@ -8,6 +8,22 @@ import { tool } from "ai";
import { o_script } from "@/types/database";
const router = express.Router();
/** 新资产AI 首次识别到的资产,需要完整信息 */
const NewAssetSchema = z.object({
prompt: z.string().describe("生成提示词"),
name: z.string().describe("资产名称,仅为名称不做其他任何表述"),
desc: z.string().describe("资产描述"),
type: z.enum(["role", "tool", "scene"]).describe("资产类型"),
scriptIds: z.array(z.number()).describe("使用该资产的剧本id数组"),
});
/** 已有资产:数据库中已存在的资产,只需给出名称和关联的剧本 */
const ExistingAssetRefSchema = z.object({
name: z.string().describe("已有资产的名称,必须与已有资产列表中的名称完全一致"),
scriptIds: z.array(z.number()).describe("使用该资产的剧本id数组"),
});
export const AssetSchema = z.object({
prompt: z.string().describe("生成提示词"),
name: z.string().describe("资产名称,仅为名称不做其他任何表述"),
@ -15,23 +31,24 @@ export const AssetSchema = z.object({
type: z.enum(["role", "tool", "scene"]).describe("资产类型"),
});
type NewAsset = z.infer<typeof NewAssetSchema>;
type ExistingAssetRef = z.infer<typeof ExistingAssetRefSchema>;
type Asset = z.infer<typeof AssetSchema>;
/** 按批次并发执行,每批 batchSize 个同时跑,批次完成后调用 onBatchDone */
async function pMapBatch<T, R>(
items: T[],
fn: (item: T) => Promise<R>,
batchSize: number,
onBatchDone?: (batchResults: R[]) => Promise<void>,
): Promise<R[]> {
const allResults: R[] = [];
for (let i = 0; i < items.length; i += batchSize) {
const batch = items.slice(i, i + batchSize);
const batchResults = await Promise.all(batch.map(fn));
allResults.push(...batchResults);
if (onBatchDone) await onBatchDone(batchResults);
/** 每批 AI 调用的结果 */
type GroupResult = {
batchScriptIds: number[];
newAssets: NewAsset[];
existingRefs: ExistingAssetRef[];
} | null;
/** 将 scriptIds 数组按 groupSize 分组 */
function chunkArray<T>(arr: T[], groupSize: number): T[][] {
const chunks: T[][] = [];
for (let i = 0; i < arr.length; i += groupSize) {
chunks.push(arr.slice(i, i + groupSize));
}
return allResults;
return chunks;
}
export default router.post(
@ -39,10 +56,10 @@ export default router.post(
validateFields({
scriptIds: z.array(z.number()),
projectId: z.number(),
concurrency: z.number().min(1).max(20).optional(),
groupSize: z.number().min(1).max(10).optional(),
}),
async (req, res) => {
const { scriptIds, projectId, concurrency = 3 } = req.body;
const { scriptIds, projectId, groupSize = 5 } = req.body;
if (!scriptIds.length) return res.status(400).send(error("请先选择剧本"));
const scripts = await u.db("o_script").whereIn("id", scriptIds);
const intansce = u.Ai.Text("universalAi");
@ -57,34 +74,21 @@ export default router.post(
const errors: { scriptId: number; error: string }[] = [];
let successCount = 0;
// 每批提取结果scriptId -> 资产列表
type BatchResult = { scriptId: number; assets: Asset[] } | null;
// 将 scriptIds 按 groupSize默认5分组每组一起发给 AI
const scriptGroups = chunkArray(scriptIds, groupSize);
/** 一批剧本提取完成后统一入库并建立关联 */
async function persistBatch(batchResults: BatchResult[]) {
const validResults = batchResults.filter((r): r is { scriptId: number; assets: Asset[] } => r !== null && r.assets.length > 0);
if (!validResults.length) return;
/** 一组剧本提取完成后统一入库并建立关联 */
async function persistGroupResult(result: GroupResult) {
if (!result) return;
const { batchScriptIds, newAssets, existingRefs } = result;
if (!newAssets.length && !existingRefs.length) return;
// 合并本批所有资产,同名去重
const mergedAssetsMap = new Map<string, Asset>();
const assetScriptIds = new Map<string, number[]>();
for (const { scriptId, assets } of validResults) {
for (const asset of assets) {
if (!mergedAssetsMap.has(asset.name)) {
mergedAssetsMap.set(asset.name, asset);
}
const ids = assetScriptIds.get(asset.name) || [];
ids.push(scriptId);
assetScriptIds.set(asset.name, ids);
}
}
// 查询已有资产,避免重复插入
// 查询已有资产
const existingAssets = await u.db("o_assets").where("projectId", projectId).select("id", "name");
const existingMap = new Map(existingAssets.map((a) => [a.name!, a.id!]));
// 插入不存在的资产
const toInsert = [...mergedAssetsMap.values()].filter((asset) => !existingMap.has(asset.name));
// 插入新资产(不在已有列表中的)
const toInsert = newAssets.filter((asset) => !existingMap.has(asset.name));
if (toInsert.length) {
await u.db("o_assets").insert(
toInsert.map((asset) => ({
@ -102,13 +106,24 @@ export default router.post(
const allAssets = await u.db("o_assets").where("projectId", projectId).select("id", "name");
const nameToId = new Map(allAssets.map((a) => [a.name, a.id]));
// 建立本批各 scriptId 与资产的关联
const batchScriptIds = validResults.map((r) => r.scriptId);
// 收集所有资产与剧本的关联关系
const scriptAssetRows: { scriptId: number; assetId: number }[] = [];
for (const [name, sIds] of assetScriptIds) {
const assetId = nameToId.get(name);
// 新资产的关联
for (const asset of newAssets) {
const assetId = nameToId.get(asset.name);
if (assetId) {
for (const sid of sIds) {
for (const sid of asset.scriptIds) {
scriptAssetRows.push({ scriptId: sid, assetId });
}
}
}
// 已有资产的关联
for (const ref of existingRefs) {
const assetId = nameToId.get(ref.name);
if (assetId) {
for (const sid of ref.scriptIds) {
scriptAssetRows.push({ scriptId: sid, assetId });
}
}
@ -127,74 +142,111 @@ export default router.post(
});
}
// 按批次并发提取剧本资产,每批完成后统一入库
await pMapBatch<number, BatchResult>(
scriptIds,
async (scriptId: number) => {
// 逐组处理(每组最多 groupSize 集剧本一起发给 AI
for (const group of scriptGroups) {
// 过滤有效剧本
const validScripts: { id: number; script: o_script }[] = [];
for (const scriptId of group as number[]) {
const script = scriptMap.get(scriptId);
if (!script) {
errors.push({ scriptId, error: "未找到对应剧本" });
await u.db("o_script").where("id", scriptId).update({ extractState: -1, errorReason: "未找到对应剧本" });
return null;
} else {
validScripts.push({ id: scriptId, script });
}
}
if (!validScripts.length) continue;
// 用闭包收集当前 scriptId 的资产
let collected: Asset[] = [];
// 查询当前项目已有的资产列表,提供给 AI 参考
const existingAssets = await u.db("o_assets").where("projectId", projectId).select("name", "type");
console.log("%c Line:162 🍔 existingAssets", "background:#ea7e5c", existingAssets);
const existingAssetsList = existingAssets.map((a) => `${a.name}(${a.type})`).join("、");
console.log("%c Line:164 🍫 existingAssetsList", "background:#33a5ff", existingAssetsList);
const resultTool = tool({
description: "返回结果时必须调用这个工具,",
inputSchema: z.object({
assetsList: z.array(AssetSchema).describe("剧本所使用资产列表,注意不要包含剧本内容,仅为所使用到的 道具、人物、场景、素材"),
}),
execute: async ({ assetsList }) => {
console.log("[tools] set_flowData script", assetsList);
if (assetsList && assetsList.length) {
collected = assetsList;
}
return true;
},
// 拼接多集剧本内容,每集用分隔标记
const scriptsContent = validScripts
.map(({ id, script }) => `===== 【剧本ID: ${id}${script.name || ""} =====\n${script.content}`)
.join("\n\n");
const validScriptIds = validScripts.map((v) => v.id);
// 用闭包收集 AI 返回的资产
let collectedNew: NewAsset[] = [];
let collectedExisting: ExistingAssetRef[] = [];
const resultTool = tool({
description: "返回结果时必须调用这个工具",
inputSchema: z.object({
newAssets: z
.array(NewAssetSchema)
.describe("新发现的资产列表(不在已有资产列表中的),需要完整的 prompt、name、desc、type 和使用该资产的 scriptIds"),
existingAssetRefs: z
.array(ExistingAssetRefSchema)
.describe("已有资产的引用列表(在已有资产列表中已存在的),只需给出资产名称和使用该资产的 scriptIds"),
}),
execute: async ({ newAssets, existingAssetRefs }) => {
console.log("[tools] extractAssets result", { newAssets, existingAssetRefs });
if (newAssets?.length) collectedNew = newAssets;
if (existingAssetRefs?.length) collectedExisting = existingAssetRefs;
return "无需回复用户任何内容";
},
});
try {
const data = await u.db("o_prompt").where("type", "scriptAssetExtraction").first("data");
const existingHint = existingAssetsList
? `\n\n【已有资产列表】${existingAssetsList}\n对于已有资产如果在剧本中出现只需在 existingAssetRefs 中给出资产名称和对应的 scriptIds 数组即可,无需重复生成 prompt/desc/type。对于新发现的资产不在已有列表中请在 newAssets 中给出完整信息。`
: "";
const output = await intansce.invoke({
messages: [
{
role: "system",
content:
data?.data +
"\n\n提取剧本中涉及的资产角色、场景、道具参考技能 script_assets_extract 规范,结果必须通过 resultTool 工具返回。" +
"\n\n注意本次会同时提供多集剧本每集剧本以 ===== 【剧本ID: xxx】 ===== 分隔。你需要分析每集剧本使用了哪些资产,并在输出中用 scriptIds 数组标明每个资产在哪些剧本中出现。" +
existingHint,
},
{
role: "user",
content: `请根据以下${validScripts.length}集剧本提取对应的剧本资产(角色、场景、道具):\n\n${scriptsContent}`,
},
],
tools: { resultTool },
});
try {
const data = await u.db("o_prompt").where("type", "scriptAssetExtraction").first("data");
await intansce.invoke({
messages: [
{
role: "system",
content:
data?.data +
"\n\n提取剧本中涉及的资产角色、场景、道具参考技能 script_assets_extract 规范,结果必须通过 resultTool 工具返回。",
},
{
role: "user",
content: `请根据以下剧本提取对应的剧本资产(角色、场景、道具、素材片段):\n\n${script.content}`,
},
],
tools: { resultTool },
});
} catch (e: any) {
const msg = e?.message || String(e);
console.error(`[extractAssets] scriptId=${scriptId} name=${script.name} 提取失败:`, msg);
errors.push({ scriptId, error: script.name + ":" + u.error(e).message });
console.log("%c Line:extractAssets 🍧 output", "background:#f5ce50", output.text);
} catch (e: any) {
const msg = e?.message || String(e);
const scriptNames = validScripts.map((v) => v.script.name).join(", ");
console.error(`[extractAssets] group=[${validScriptIds.join(",")}] 提取失败:`, msg);
for (const { id, script } of validScripts) {
errors.push({ scriptId: id, error: (script.name || "") + ":" + u.error(e).message });
await u
.db("o_script")
.where("id", scriptId)
.where("id", id)
.update({ extractState: -1, errorReason: u.error(e).message });
return null;
}
continue;
}
if (!collected.length) {
errors.push({ scriptId, error: "AI 未返回任何资产" });
await u.db("o_script").where("id", scriptId).update({ extractState: -1, errorReason: "AI 未返回任何资产" });
return null;
if (!collectedNew.length && !collectedExisting.length) {
for (const { id } of validScripts) {
errors.push({ scriptId: id, error: "AI 未返回任何资产" });
await u.db("o_script").where("id", id).update({ extractState: -1, errorReason: "AI 未返回任何资产" });
}
continue;
}
successCount++;
return { scriptId, assets: collected };
},
concurrency,
persistBatch,
);
successCount += validScripts.length;
// 入库
await persistGroupResult({
batchScriptIds: validScriptIds,
newAssets: collectedNew,
existingRefs: collectedExisting,
});
}
return res.send(success("开始提取资产"));
},

View File

@ -1,8 +1,3 @@
<<<<<<< HEAD
// @db-hash 93b2462070c45c2b449e9a18c4e88763
//该文件由脚本自动生成,请勿手动修改
=======
// @db-hash f7bc2fdb80756d5536929eb47155578b
//该文件由脚本自动生成,请勿手动修改
@ -13,7 +8,6 @@ export interface _o_script_old_20260327 {
'name'?: string | null;
'projectId'?: number | null;
}
>>>>>>> 9da2610cdedc1e293b351ed3ab67fbc6fcd989f1
export interface memories {
'content': string;
'createTime': number;
@ -34,7 +28,7 @@ export interface o_agentDeploy {
'model'?: string | null;
'modelName'?: string | null;
'name'?: string | null;
'vendorId'?: string | null;
'vendorId'?: number | null;
}
export interface o_agentWorkData {
'createTime'?: number | null;
@ -244,10 +238,7 @@ export interface o_videoConfig {
}
export interface DB {
<<<<<<< HEAD
=======
"_o_script_old_20260327": _o_script_old_20260327;
>>>>>>> 9da2610cdedc1e293b351ed3ab67fbc6fcd989f1
"memories": memories;
"o_agentDeploy": o_agentDeploy;
"o_agentWorkData": o_agentWorkData;