| 1 | /* |
| 2 | * @Author: nevin |
| 3 | * @Date: 2024-06-17 19:19:15 |
| 4 | * @LastEditTime: 2024-09-05 15:19:25 |
| 5 | * @LastEditors: nevin |
| 6 | * @Description: |
| 7 | */ |
| 8 | import { Injectable } from '@nestjs/common'; |
| 9 | import axios from 'axios'; |
| 10 | import OpenAI from 'openai'; |
| 11 | import { Observable } from 'rxjs'; |
| 12 | import { RedisService } from 'src/lib/redis/redis.service'; |
| 13 | import { v4 as uuidv4 } from 'uuid'; |
| 14 | |
| 15 | export enum FireflycardTempTypes { |
| 16 | A = 'tempA', // 默认 |
| 17 | B = 'tempB', // 书摘 |
| 18 | C = 'tempC', // 透明 |
| 19 | Jin = 'tempJin', // 金句 |
| 20 | Memo = 'tempMemo', // 备忘录 |
| 21 | Easy = 'tempEasy', // 便当 |
| 22 | BlackSun = 'tempBlackSun', // 黑日 |
| 23 | E = 'tempE', // 框界 |
| 24 | Write = 'tempWrite', // 手写 |
| 25 | Code = 'code', // 代码 |
| 26 | D = 'tempD', // 图片(暂时不用) |
| 27 | } |
| 28 | @Injectable() |
| 29 | export class AiToolsService { |
| 30 | openai: OpenAI; |
| 31 | |
| 32 | constructor(private readonly redisService: RedisService) { |
| 33 | this.openai = new OpenAI({ |
| 34 | apiKey: process.env.QWEN_KEY, |
| 35 | baseURL: 'https://dashscope.aliyuncs.com/compatible-mode/v1', |
| 36 | }); |
| 37 | } |
| 38 | |
| 39 | /** |
| 40 | * 视频智能标题 |
| 41 | * @param url |
| 42 | * @param min |
| 43 | * @param max |
| 44 | * @returns |
| 45 | */ |
| 46 | async videoAiTitle(url: string, min?: 5, max?: 50) { |
| 47 | const completion = await this.openai.chat.completions.create({ |
| 48 | model: 'qwen-omni-turbo', //模型列表：https://help.aliyun.com/zh/model-studio/getting-started/models |
| 49 | stream: true, |
| 50 | messages: [ |
| 51 | { |
| 52 | role: 'system', |
| 53 | content: [ |
| 54 | { |
| 55 | type: 'text', |
| 56 | text: '你是一个短视频创作者,请帮我作品进行智能标题设置,只需要返回标题', |
| 57 | }, |
| 58 | ], |
| 59 | }, |
| 60 | { |
| 61 | role: 'user', |
| 62 | content: [ |
| 63 | { |
| 64 | type: 'video_url', |
| 65 | video_url: { |
| 66 | url: url, |
| 67 | }, |
| 68 | }, |
| 69 | { |
| 70 | type: 'text', |
| 71 | text: `给视频设置一个标题,长度为${min}到${max}个字. 只需要返回该标题`, |
| 72 | }, |
| 73 | ] as any, |
| 74 | }, |
| 75 | ], |
| 76 | stream_options: { |
| 77 | include_usage: true, |
| 78 | }, |
| 79 | modalities: ['text'], |
| 80 | }); |
| 81 | let res = ''; |
| 82 | |
| 83 | for await (const chunk of completion) { |
| 84 | if (Array.isArray(chunk.choices) && chunk.choices.length > 0) { |
| 85 | const content = chunk.choices[0].delta.content; |
| 86 | if (content === null) return res; |
| 87 | res += content; |
| 88 | } else { |
| 89 | console.log(chunk.usage); |
| 90 | } |
| 91 | } |
| 92 | |
| 93 | return res; |
| 94 | } |
| 95 | |
| 96 | /** |
| 97 | * 智能评论图片 |
| 98 | * @param imgUrl |
| 99 | * @param title |
| 100 | * @param desc |
| 101 | * @param max |
| 102 | * @returns |
| 103 | */ |
| 104 | async reviewImgByAi( |
| 105 | imgUrl: string, |
| 106 | title: string = '无', |
| 107 | desc: string = '无', |
| 108 | max = 50, |
| 109 | ): Promise<string> { |
| 110 | const completion = await this.openai.chat.completions.create({ |
| 111 | stream: true, |
| 112 | model: 'qwen-omni-turbo', |
| 113 | messages: [ |
| 114 | { |
| 115 | role: 'system', |
| 116 | content: `你是我的好友,请对我发的短视频的作品或者朋友圈短视频作品进行评论,我会提供作品的封面图. 请用中文回复,并且回复内容不超过${max}字.只需要返回评论内容.`, |
| 117 | }, |
| 118 | { |
| 119 | role: 'user', |
| 120 | content: [ |
| 121 | { |
| 122 | type: 'image_url', |
| 123 | image_url: { |
| 124 | url: imgUrl, |
| 125 | }, |
| 126 | }, |
| 127 | { |
| 128 | type: 'text', |
| 129 | text: `作品标题: ${title}, 作品描述: ${desc}`, |
| 130 | }, |
| 131 | ], |
| 132 | }, |
| 133 | ], |
| 134 | stream_options: { |
| 135 | include_usage: true, |
| 136 | }, |
| 137 | modalities: ['text'], |
| 138 | }); |
| 139 | |
| 140 | let res = ''; |
| 141 | |
| 142 | for await (const chunk of completion) { |
| 143 | if (Array.isArray(chunk.choices) && chunk.choices.length > 0) { |
| 144 | console.log(chunk.choices[0].delta); |
| 145 | const content = chunk.choices[0].delta.content; |
| 146 | if (content === null) return res; |
| 147 | res += content; |
| 148 | } else { |
| 149 | console.log(chunk.usage); |
| 150 | } |
| 151 | } |
| 152 | |
| 153 | return res; |
| 154 | } |
| 155 | |
| 156 | // 智能评论 |
| 157 | async reviewAi( |
| 158 | title: string, |
| 159 | desc: string = '无', |
| 160 | max = 50, |
| 161 | ): Promise<string> { |
| 162 | const completion = await this.openai.chat.completions.create({ |
| 163 | stream: true, |
| 164 | model: 'qwen-omni-turbo', |
| 165 | messages: [ |
| 166 | { |
| 167 | role: 'system', |
| 168 | content: `你是我的好友,请对我发的短视频作品或者朋友圈作品进行评论. 请用中文回复,并且回复内容不超过${max}字.只需要返回评论内容.`, |
| 169 | }, |
| 170 | { |
| 171 | role: 'user', |
| 172 | content: `作品标题: ${title}, 作品描述: ${desc}`, |
| 173 | }, |
| 174 | ], |
| 175 | stream_options: { |
| 176 | include_usage: true, |
| 177 | }, |
| 178 | modalities: ['text'], |
| 179 | }); |
| 180 | |
| 181 | let res = ''; |
| 182 | |
| 183 | for await (const chunk of completion) { |
| 184 | if (Array.isArray(chunk.choices) && chunk.choices.length > 0) { |
| 185 | console.log(chunk.choices[0].delta); |
| 186 | const content = chunk.choices[0].delta.content; |
| 187 | if (content === null) return res; |
| 188 | res += content; |
| 189 | } else { |
| 190 | console.log(chunk.usage); |
| 191 | } |
| 192 | } |
| 193 | |
| 194 | return res; |
| 195 | } |
| 196 | |
| 197 | /** |
| 198 | * 智能回复评论 |
| 199 | * @param content |
| 200 | * @param title |
| 201 | * @param desc |
| 202 | * @param max |
| 203 | */ |
| 204 | async reviewAiRecover( |
| 205 | content: string, |
| 206 | title: string = '无', |
| 207 | desc: string = '无', |
| 208 | max = 50, |
| 209 | ): Promise<string> { |
| 210 | const completion = await this.openai.chat.completions.create({ |
| 211 | stream: true, |
| 212 | model: 'qwen-omni-turbo', |
| 213 | messages: [ |
| 214 | { |
| 215 | role: 'system', |
| 216 | content: `你是一个风趣幽默又有分寸的文字创作者的助手,请帮我对别人对我作品的评论进行回复. 请用中文回复,并且回复内容不超过${max}字.只需要返回你的回复内容.`, |
| 217 | }, |
| 218 | { |
| 219 | role: 'user', |
| 220 | content: `作品标题: ${title}, 作品描述: ${desc}, 评论内容: ${content}`, |
| 221 | }, |
| 222 | ], |
| 223 | stream_options: { |
| 224 | include_usage: true, |
| 225 | }, |
| 226 | modalities: ['text'], |
| 227 | }); |
| 228 | |
| 229 | let res = ''; |
| 230 | |
| 231 | for await (const chunk of completion) { |
| 232 | if (Array.isArray(chunk.choices) && chunk.choices.length > 0) { |
| 233 | console.log(chunk.choices[0].delta); |
| 234 | const content = chunk.choices[0].delta.content; |
| 235 | if (content === null) return res; |
| 236 | res += content; |
| 237 | } else { |
| 238 | console.log(chunk.usage); |
| 239 | } |
| 240 | } |
| 241 | |
| 242 | return res; |
| 243 | } |
| 244 | |
| 245 | /** |
| 246 | * 生成AI的html图文 |
| 247 | * @param content |
| 248 | */ |
| 249 | async aiArticleHtml(content: string): Promise<string> { |
| 250 | const completion = await this.openai.chat.completions.create({ |
| 251 | stream: true, |
| 252 | model: 'deepseek-v3', |
| 253 | messages: [ |
| 254 | { |
| 255 | role: 'system', |
| 256 | content: `你是一个web前端开发者,根据我发的内容进行web页面开发.注意,只需要返回代码`, |
| 257 | }, |
| 258 | { |
| 259 | role: 'user', |
| 260 | content, |
| 261 | }, |
| 262 | ], |
| 263 | stream_options: { |
| 264 | include_usage: true, |
| 265 | }, |
| 266 | modalities: ['text'], |
| 267 | }); |
| 268 | |
| 269 | let res = ''; |
| 270 | |
| 271 | for await (const chunk of completion) { |
| 272 | if (Array.isArray(chunk.choices) && chunk.choices.length > 0) { |
| 273 | console.log(chunk.choices[0].delta); |
| 274 | const content = chunk.choices[0].delta.content; |
| 275 | if (content === null) return res; |
| 276 | res += content; |
| 277 | } else { |
| 278 | console.log(chunk.usage); |
| 279 | } |
| 280 | } |
| 281 | |
| 282 | return res; |
| 283 | } |
| 284 | |
| 285 | /** |
| 286 | * 生成AI的html图文-测试 |
| 287 | * @param content |
| 288 | */ |
| 289 | async aiArticleHtml2( |
| 290 | model: string, |
| 291 | content: string, |
| 292 | content2: string, |
| 293 | ): Promise<string> { |
| 294 | const completion = await this.openai.chat.completions.create({ |
| 295 | stream: true, |
| 296 | model, |
| 297 | messages: [ |
| 298 | { |
| 299 | role: 'system', |
| 300 | content: content2, |
| 301 | }, |
| 302 | { |
| 303 | role: 'user', |
| 304 | content, |
| 305 | }, |
| 306 | ], |
| 307 | stream_options: { |
| 308 | include_usage: true, |
| 309 | }, |
| 310 | modalities: ['text'], |
| 311 | }); |
| 312 | |
| 313 | let res = ''; |
| 314 | |
| 315 | for await (const chunk of completion) { |
| 316 | if (Array.isArray(chunk.choices) && chunk.choices.length > 0) { |
| 317 | console.log(chunk.choices[0].delta); |
| 318 | const content = chunk.choices[0].delta.content; |
| 319 | if (content === null) return res; |
| 320 | res += content; |
| 321 | } else { |
| 322 | console.log(chunk.usage); |
| 323 | } |
| 324 | } |
| 325 | |
| 326 | return res; |
| 327 | } |
| 328 | |
| 329 | /** |
| 330 | * 获取AI的markdown |
| 331 | * @param content |
| 332 | */ |
| 333 | async aiMarkdown(data: { content: string; prompt: string }): Promise<string> { |
| 334 | const taskId = uuidv4().replace(/-/g, ''); |
| 335 | this.openai.chat.completions |
| 336 | .create({ |
| 337 | stream: true, |
| 338 | model: 'deepseek-v3', |
| 339 | messages: [ |
| 340 | { |
| 341 | role: 'system', |
| 342 | content: `将以下内容美化成Markdown格式,${data.prompt},只需要美化样式,内容不改变,只返回markdown格式,不返回其他内容`, |
| 343 | }, |
| 344 | { |
| 345 | role: 'user', |
| 346 | content: data.content, |
| 347 | }, |
| 348 | ], |
| 349 | stream_options: { |
| 350 | include_usage: true, |
| 351 | }, |
| 352 | modalities: ['text'], |
| 353 | }) |
| 354 | .then(async (completion) => { |
| 355 | let text = ''; |
| 356 | |
| 357 | for await (const chunk of completion) { |
| 358 | if (Array.isArray(chunk.choices) && chunk.choices.length > 0) { |
| 359 | console.log(chunk.choices[0].delta); |
| 360 | const content = chunk.choices[0].delta.content; |
| 361 | if (content !== null) text += content; |
| 362 | } else { |
| 363 | console.log(chunk.usage); |
| 364 | } |
| 365 | } |
| 366 | this.redisService.setKey(`aiMarkdown:${taskId}`, text, 60 * 5); |
| 367 | }); |
| 368 | |
| 369 | return taskId; |
| 370 | } |
| 371 | |
| 372 | // 获取aiMarkdown的结果 |
| 373 | async getAiMarkdown(taskId: string) { |
| 374 | try { |
| 375 | const text = await this.redisService.get(`aiMarkdown:${taskId}`, false); |
| 376 | return text; |
| 377 | } catch (error) { |
| 378 | console.log('------ getAiMarkdown error ----', error); |
| 379 | |
| 380 | return ''; |
| 381 | } |
| 382 | } |
| 383 | |
| 384 | /** |
| 385 | * 生成AI的html图文 |
| 386 | * @param content |
| 387 | */ |
| 388 | async aiArticleHtmlSse(content: string): Promise<Observable<any>> { |
| 389 | const completion = await this.openai.chat.completions.create({ |
| 390 | stream: true, |
| 391 | model: 'deepseek-v3', |
| 392 | messages: [ |
| 393 | { |
| 394 | role: 'system', |
| 395 | content: `你是一个web前端开发者,根据我发的内容进行web页面开发.注意,只需要返回代码`, |
| 396 | }, |
| 397 | { |
| 398 | role: 'user', |
| 399 | content, |
| 400 | }, |
| 401 | ], |
| 402 | stream_options: { |
| 403 | include_usage: true, |
| 404 | }, |
| 405 | modalities: ['text'], |
| 406 | }); |
| 407 | |
| 408 | return new Observable((observer) => { |
| 409 | (async () => { |
| 410 | for await (const chunk of completion) { |
| 411 | if (Array.isArray(chunk.choices) && chunk.choices.length > 0) { |
| 412 | console.log(chunk.choices[0].delta); |
| 413 | const content = chunk.choices[0].delta.content; |
| 414 | if (content === null) return observer.complete(); |
| 415 | observer.next(content); |
| 416 | } else { |
| 417 | console.log(chunk.usage); |
| 418 | } |
| 419 | } |
| 420 | observer.complete(); |
| 421 | })(); |
| 422 | }); |
| 423 | } |
| 424 | |
| 425 | /** |
| 426 | * 获取流光卡片内容 |
| 427 | * @param title |
| 428 | * @param content |
| 429 | * @returns Promise<string> 返回流光卡片图片编码 |
| 430 | */ |
| 431 | async fireflycard( |
| 432 | content: string, |
| 433 | temp: FireflycardTempTypes, |
| 434 | title: string = '', |
| 435 | ): Promise<Buffer> { |
| 436 | const url = `https://fireflycard-api.302ai.cn/api/saveImg`; |
| 437 | |
| 438 | const body = { |
| 439 | form: { |
| 440 | title, |
| 441 | content, |
| 442 | pagination: '01', |
| 443 | }, |
| 444 | style: { |
| 445 | align: 'left', |
| 446 | backgroundName: 'vertical-blue-color-29', |
| 447 | backShadow: '', |
| 448 | font: 'Alibaba-PuHuiTi-Regular', |
| 449 | width: 440, |
| 450 | ratio: '', |
| 451 | height: 0, |
| 452 | fontScale: 1, |
| 453 | padding: '30px', |
| 454 | borderRadius: '15px', |
| 455 | color: '#000000', |
| 456 | opacity: 1, |
| 457 | blur: 0, |
| 458 | backgroundAngle: '0deg', |
| 459 | lineHeights: { |
| 460 | content: '', |
| 461 | }, |
| 462 | letterSpacings: { |
| 463 | content: '', |
| 464 | }, |
| 465 | }, |
| 466 | switchConfig: { |
| 467 | showIcon: false, |
| 468 | showDate: true, |
| 469 | showTitle: !!title, |
| 470 | showContent: true, |
| 471 | showAuthor: false, |
| 472 | showTextCount: false, |
| 473 | showQRCode: false, |
| 474 | showPageNum: false, |
| 475 | showWatermark: false, |
| 476 | }, |
| 477 | temp, |
| 478 | language: 'zh', |
| 479 | }; |
| 480 | |
| 481 | const response = await axios.post(url, body, { |
| 482 | responseType: 'arraybuffer', |
| 483 | }); |
| 484 | return response.data; |
| 485 | } |
| 486 | |
| 487 | /** |
| 488 | * 即梦生成封面 任务提交 |
| 489 | * @returns |
| 490 | */ |
| 491 | async upJmImgTask(data: { |
| 492 | prompt: string; |
| 493 | width: number; |
| 494 | height: number; |
| 495 | sessionIds: string[]; |
| 496 | }) { |
| 497 | const body = { |
| 498 | id: uuidv4(), // 标识符 |
| 499 | // jimeng-3.0（默认） / jimeng-2.1 / jimeng-2.0-pro / jimeng-2.0 / jimeng-1.4 / jimeng-xl-pro |
| 500 | model: 'jimeng-3.0', |
| 501 | // 提示词，必填 |
| 502 | prompt: data.prompt, |
| 503 | // 反向提示词，默认空字符串 |
| 504 | negativePrompt: '', |
| 505 | // 图像宽度，默认1024 |
| 506 | width: data.width, |
| 507 | // 图像高度，默认1024 |
| 508 | height: data.height, |
| 509 | // 精细度，取值范围0-1，默认0.5 |
| 510 | sample_strength: 0.5, |
| 511 | sessionId: data.sessionIds.join(','), |
| 512 | }; |
| 513 | |
| 514 | const result = await axios.post<{ |
| 515 | code: number; // 0; |
| 516 | msg: string; // 'success'; |
| 517 | data: { |
| 518 | _id: string; // 'f05f1c88b28ced57d42c29b799185079'; |
| 519 | taskId: string; // 'f05f1c88b28ced57d42c29b799185079'; |
| 520 | id: string; // '0130c639-3d80-4e77-8da3-64de1dba8d2e'; |
| 521 | model: string; // 'jimeng-3.0'; |
| 522 | prompt: string; // '美好花园'; |
| 523 | negativePrompt: string; // ''; |
| 524 | width: number; // 10; |
| 525 | height: number; // 10; |
| 526 | sample_strength: number; // 0.5; |
| 527 | status: string; // 'pending'; |
| 528 | createTime: string; // '2025-05-14 22:31:32'; |
| 529 | images: string[]; // []; |
| 530 | }; |
| 531 | }>('https://att-contents.yikart.cn/api/third/v1/images/generations', body); |
| 532 | |
| 533 | if (!!result.data.code) { |
| 534 | console.log('------- upJmImgTask error ---', result.data.msg); |
| 535 | return ''; |
| 536 | } |
| 537 | |
| 538 | return result.data.data.taskId; |
| 539 | } |
| 540 | |
| 541 | /** |
| 542 | * 即梦生成图片任务获取 |
| 543 | * @returns |
| 544 | */ |
| 545 | async getJmImgTaskRes(taskId: string): Promise<{ |
| 546 | taskId: string; |
| 547 | status: string; |
| 548 | imgList: string[]; |
| 549 | }> { |
| 550 | const result = await axios.get<{ |
| 551 | code: number; // 0; |
| 552 | msg: string; // 'success'; |
| 553 | data: { |
| 554 | status: string; |
| 555 | taskId: string; // '997272a47ac2b46e2b7660ae905b33cb'; |
| 556 | images: { |
| 557 | url: string; |
| 558 | }[]; |
| 559 | }; |
| 560 | }>('https://att-contents.yikart.cn/api/third/v1/images/query', { |
| 561 | params: { taskId }, |
| 562 | }); |
| 563 | |
| 564 | console.log( |
| 565 | '----------- getJmImgTaskRes result.data ----------', |
| 566 | result.data, |
| 567 | ); |
| 568 | |
| 569 | if (!!result.data.code) { |
| 570 | console.log('------- getJmImgTaskRes error ---', result.data.msg); |
| 571 | return { |
| 572 | taskId: '', |
| 573 | status: 'error', |
| 574 | imgList: [], |
| 575 | }; |
| 576 | } |
| 577 | |
| 578 | if (result.data.data.status === 'failed') { |
| 579 | return { |
| 580 | taskId, |
| 581 | status: 'failed', |
| 582 | imgList: [], |
| 583 | }; |
| 584 | } |
| 585 | |
| 586 | if (result.data.data.status !== 'success') { |
| 587 | return { |
| 588 | taskId, |
| 589 | status: result.data.data.status, |
| 590 | imgList: [], |
| 591 | }; |
| 592 | } |
| 593 | |
| 594 | return { |
| 595 | taskId, |
| 596 | status: 'success', |
| 597 | imgList: result.data.data.images.map((item: any) => { |
| 598 | return item.url; |
| 599 | }), |
| 600 | }; |
| 601 | } |
| 602 | } |
| 603 |