85 lines
2.7 KiB
TypeScript

import _ from "lodash";
import Request from "@/lib/request/Request.ts";
import { generateImages } from "@/api/controllers/images.ts";
import { tokenSplit } from "@/api/controllers/core.ts";
import util from "@/lib/util.ts";
import { ImagesTaskCache } from '@/api/ImagesTaskCache.ts';
export default {
prefix: "/v1/images",
get: {
"/query": async (request: Request) => {
const imagesTaskCache = ImagesTaskCache.getInstance();
request
.validate("query.task_id", _.isString) // 从 query 中校验
const {
task_id,
} = request.query; // 从 query 中获取
let res = imagesTaskCache.getTaskStatus(task_id);
// console.log("查询任务状态", task_id, 'res:',res);
if(typeof res === 'string'){
return {
created: util.unixTimestamp(),
data:{task_id, url:res, status:-1},
};
}else{
return {
created: util.unixTimestamp(),
data:{task_id, url:"", status:res||0},
};
}
},
},
post: {
"/generations": async (request: Request) => {
request
// .validate("body.model", v => _.isUndefined(v) || _.isString(v))
.validate("body.task_id", _.isString)
.validate("body.prompt", _.isString)
// .validate("body.negative_prompt", v => _.isUndefined(v) || _.isString(v))
.validate("body.width", v => _.isUndefined(v) || _.isFinite(v))
.validate("body.height", v => _.isUndefined(v) || _.isFinite(v))
// .validate("body.sample_strength", v => _.isUndefined(v) || _.isFinite(v))
.validate("body.response_format", v => _.isUndefined(v) || _.isString(v))
.validate("headers.authorization", _.isString);
// refresh_token切分
const tokens = tokenSplit(request.headers.authorization);
// 随机挑选一个refresh_token
const token = _.sample(tokens);
const {
// model,
task_id,
prompt,
// negative_prompt: negativePrompt,
width,
height,
// sample_strength: sampleStrength,
response_format,
} = request.body;
const responseFormat = _.defaultTo(response_format, "url");
const imageUrls = await generateImages('jimeng-3.1', task_id, prompt, {
width,
height,
sampleStrength:0.5,
negativePrompt:"",
}, token);
let data = [];
if (responseFormat == "b64_json") {
data = (
await Promise.all(imageUrls.map((url) => util.fetchFileBASE64(url)))
).map((b64) => ({ b64_json: b64 }));
} else {
data = imageUrls.map((url) => ({
url,
}));
}
return {
created: util.unixTimestamp(),
data,
};
},
},
};