v4.1.0

AIWebQuickDeploy/dist/modules/chat/chat.controller.js

@@ -0,0 +1,123 @@
+"use strict";
+var __decorate = (this && this.__decorate) || function (decorators, target, key, desc) {
+    var c = arguments.length, r = c < 3 ? target : desc === null ? desc = Object.getOwnPropertyDescriptor(target, key) : desc, d;
+    if (typeof Reflect === "object" && typeof Reflect.decorate === "function") r = Reflect.decorate(decorators, target, key, desc);
+    else for (var i = decorators.length - 1; i >= 0; i--) if (d = decorators[i]) r = (c < 3 ? d(r) : c > 3 ? d(target, key, r) : d(target, key)) || r;
+    return c > 3 && r && Object.defineProperty(target, key, r), r;
+};
+var __metadata = (this && this.__metadata) || function (k, v) {
+    if (typeof Reflect === "object" && typeof Reflect.metadata === "function") return Reflect.metadata(k, v);
+};
+var __param = (this && this.__param) || function (paramIndex, decorator) {
+    return function (target, key) { decorator(target, key, paramIndex); }
+};
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.ChatController = void 0;
+const swagger_1 = require("@nestjs/swagger");
+const jwtAuth_guard_1 = require("../../common/auth/jwtAuth.guard");
+const chat_service_1 = require("./chat.service");
+const common_1 = require("@nestjs/common");
+const chatProcess_dto_1 = require("./dto/chatProcess.dto");
+const aiPPT_1 = require("../ai/aiPPT");
+const globalConfig_service_1 = require("../globalConfig/globalConfig.service");
+let ChatController = class ChatController {
+    constructor(chatService, globalConfigService, aiPptService) {
+        this.chatService = chatService;
+        this.globalConfigService = globalConfigService;
+        this.aiPptService = aiPptService;
+    }
+    chatProcess(body, req, res) {
+        return this.chatService.chatProcess(body, req, res);
+    }
+    chatProcessSync(body, req) {
+        return this.chatService.chatProcess(Object.assign({}, body), req);
+    }
+    async mjFanyi(body, req) {
+        return this.chatService.chatProcess(Object.assign(Object.assign({}, body), { specialModel: 'PromptOptimization' }), req);
+    }
+    async chatmind(body, req, res) {
+        return this.chatService.chatProcess(Object.assign(Object.assign({}, body), { specialModel: 'MindMap' }), req, res);
+    }
+    ttsProcess(body, req, res) {
+        return this.chatService.ttsProcess(body, req, res);
+    }
+    pptCover(body) {
+        return this.aiPptService.pptCover(body);
+    }
+};
+__decorate([
+    (0, common_1.Post)('chat-process'),
+    (0, swagger_1.ApiOperation)({ summary: 'gpt聊天对话' }),
+    (0, common_1.UseGuards)(jwtAuth_guard_1.JwtAuthGuard),
+    (0, swagger_1.ApiBearerAuth)(),
+    __param(0, (0, common_1.Body)()),
+    __param(1, (0, common_1.Req)()),
+    __param(2, (0, common_1.Res)()),
+    __metadata("design:type", Function),
+    __metadata("design:paramtypes", [chatProcess_dto_1.ChatProcessDto, Object, Object]),
+    __metadata("design:returntype", void 0)
+], ChatController.prototype, "chatProcess", null);
+__decorate([
+    (0, common_1.Post)('chat-sync'),
+    (0, swagger_1.ApiOperation)({ summary: 'gpt聊天对话' }),
+    (0, common_1.UseGuards)(jwtAuth_guard_1.JwtAuthGuard),
+    (0, swagger_1.ApiBearerAuth)(),
+    __param(0, (0, common_1.Body)()),
+    __param(1, (0, common_1.Req)()),
+    __metadata("design:type", Function),
+    __metadata("design:paramtypes", [chatProcess_dto_1.ChatProcessDto, Object]),
+    __metadata("design:returntype", void 0)
+], ChatController.prototype, "chatProcessSync", null);
+__decorate([
+    (0, common_1.Post)('mj-fy'),
+    (0, swagger_1.ApiOperation)({ summary: 'gpt描述词绘画翻译' }),
+    (0, common_1.UseGuards)(jwtAuth_guard_1.JwtAuthGuard),
+    (0, swagger_1.ApiBearerAuth)(),
+    __param(0, (0, common_1.Body)()),
+    __param(1, (0, common_1.Req)()),
+    __metadata("design:type", Function),
+    __metadata("design:paramtypes", [chatProcess_dto_1.ChatProcessDto, Object]),
+    __metadata("design:returntype", Promise)
+], ChatController.prototype, "mjFanyi", null);
+__decorate([
+    (0, common_1.Post)('chat-mind'),
+    (0, swagger_1.ApiOperation)({ summary: 'mind思维导图提示' }),
+    (0, common_1.UseGuards)(jwtAuth_guard_1.JwtAuthGuard),
+    (0, swagger_1.ApiBearerAuth)(),
+    __param(0, (0, common_1.Body)()),
+    __param(1, (0, common_1.Req)()),
+    __param(2, (0, common_1.Res)()),
+    __metadata("design:type", Function),
+    __metadata("design:paramtypes", [chatProcess_dto_1.ChatProcessDto, Object, Object]),
+    __metadata("design:returntype", Promise)
+], ChatController.prototype, "chatmind", null);
+__decorate([
+    (0, common_1.Post)('tts-process'),
+    (0, swagger_1.ApiOperation)({ summary: 'tts语音播报' }),
+    (0, common_1.UseGuards)(jwtAuth_guard_1.JwtAuthGuard),
+    (0, swagger_1.ApiBearerAuth)(),
+    __param(0, (0, common_1.Body)()),
+    __param(1, (0, common_1.Req)()),
+    __param(2, (0, common_1.Res)()),
+    __metadata("design:type", Function),
+    __metadata("design:paramtypes", [Object, Object, Object]),
+    __metadata("design:returntype", void 0)
+], ChatController.prototype, "ttsProcess", null);
+__decorate([
+    (0, common_1.Post)('ppt-cover'),
+    (0, swagger_1.ApiOperation)({ summary: 'ppt封面获取' }),
+    (0, common_1.UseGuards)(jwtAuth_guard_1.JwtAuthGuard),
+    (0, swagger_1.ApiBearerAuth)(),
+    __param(0, (0, common_1.Body)()),
+    __metadata("design:type", Function),
+    __metadata("design:paramtypes", [Object]),
+    __metadata("design:returntype", void 0)
+], ChatController.prototype, "pptCover", null);
+ChatController = __decorate([
+    (0, swagger_1.ApiTags)('chatgpt'),
+    (0, common_1.Controller)('chatgpt'),
+    __metadata("design:paramtypes", [chat_service_1.ChatService,
+        globalConfig_service_1.GlobalConfigService,
+        aiPPT_1.AiPptService])
+], ChatController);
+exports.ChatController = ChatController;

AIWebQuickDeploy/dist/modules/chat/chat.module.js

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+"use strict";
+var __decorate = (this && this.__decorate) || function (decorators, target, key, desc) {
+    var c = arguments.length, r = c < 3 ? target : desc === null ? desc = Object.getOwnPropertyDescriptor(target, key) : desc, d;
+    if (typeof Reflect === "object" && typeof Reflect.decorate === "function") r = Reflect.decorate(decorators, target, key, desc);
+    else for (var i = decorators.length - 1; i >= 0; i--) if (d = decorators[i]) r = (c < 3 ? d(r) : c > 3 ? d(target, key, r) : d(target, key)) || r;
+    return c > 3 && r && Object.defineProperty(target, key, r), r;
+};
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.ChatModule = void 0;
+const common_1 = require("@nestjs/common");
+const typeorm_1 = require("@nestjs/typeorm");
+const aiPPT_1 = require("../ai/aiPPT");
+const cogVideo_service_1 = require("../ai/cogVideo.service");
+const fluxDraw_service_1 = require("../ai/fluxDraw.service");
+const lumaVideo_service_1 = require("../ai/lumaVideo.service");
+const midjourneyDraw_service_1 = require("../ai/midjourneyDraw.service");
+const openaiChat_service_1 = require("../ai/openaiChat.service");
+const openaiDraw_service_1 = require("../ai/openaiDraw.service");
+const stableDiffusion_service_1 = require("../ai/stableDiffusion.service");
+const suno_service_1 = require("../ai/suno.service");
+const app_entity_1 = require("../app/app.entity");
+const chatGroup_entity_1 = require("../chatGroup/chatGroup.entity");
+const chatLog_entity_1 = require("../chatLog/chatLog.entity");
+const chatLog_service_1 = require("../chatLog/chatLog.service");
+const cramiPackage_entity_1 = require("../crami/cramiPackage.entity");
+const config_entity_1 = require("../globalConfig/config.entity");
+const mailer_service_1 = require("../mailer/mailer.service");
+const plugin_entity_1 = require("../plugin/plugin.entity");
+const redisCache_service_1 = require("../redisCache/redisCache.service");
+const user_entity_1 = require("../user/user.entity");
+const user_service_1 = require("../user/user.service");
+const accountLog_entity_1 = require("../userBalance/accountLog.entity");
+const balance_entity_1 = require("../userBalance/balance.entity");
+const fingerprint_entity_1 = require("../userBalance/fingerprint.entity");
+const userBalance_entity_1 = require("../userBalance/userBalance.entity");
+const userBalance_service_1 = require("../userBalance/userBalance.service");
+const verification_service_1 = require("../verification/verification.service");
+const verifycation_entity_1 = require("../verification/verifycation.entity");
+const chat_controller_1 = require("./chat.controller");
+const chat_service_1 = require("./chat.service");
+const netSearch_service_1 = require("../ai/netSearch.service");
+let ChatModule = class ChatModule {
+};
+ChatModule = __decorate([
+    (0, common_1.Global)(),
+    (0, common_1.Module)({
+        imports: [
+            typeorm_1.TypeOrmModule.forFeature([
+                balance_entity_1.BalanceEntity,
+                user_entity_1.UserEntity,
+                plugin_entity_1.PluginEntity,
+                verifycation_entity_1.VerifycationEntity,
+                chatLog_entity_1.ChatLogEntity,
+                accountLog_entity_1.AccountLogEntity,
+                config_entity_1.ConfigEntity,
+                user_entity_1.UserEntity,
+                cramiPackage_entity_1.CramiPackageEntity,
+                chatGroup_entity_1.ChatGroupEntity,
+                app_entity_1.AppEntity,
+                userBalance_entity_1.UserBalanceEntity,
+                fingerprint_entity_1.FingerprintLogEntity,
+            ]),
+        ],
+        controllers: [chat_controller_1.ChatController],
+        providers: [
+            chat_service_1.ChatService,
+            userBalance_service_1.UserBalanceService,
+            user_service_1.UserService,
+            verification_service_1.VerificationService,
+            chatLog_service_1.ChatLogService,
+            redisCache_service_1.RedisCacheService,
+            mailer_service_1.MailerService,
+            suno_service_1.SunoService,
+            openaiChat_service_1.OpenAIChatService,
+            stableDiffusion_service_1.StableDiffusionService,
+            midjourneyDraw_service_1.MidjourneyService,
+            openaiDraw_service_1.OpenAIDrawService,
+            lumaVideo_service_1.LumaVideoService,
+            cogVideo_service_1.CogVideoService,
+            fluxDraw_service_1.FluxDrawService,
+            aiPPT_1.AiPptService,
+            netSearch_service_1.netSearchService,
+        ],
+        exports: [chat_service_1.ChatService],
+    })
+], ChatModule);
+exports.ChatModule = ChatModule;

AIWebQuickDeploy/dist/modules/chat/dto/chatDraw.dto.js

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+"use strict";
+var __decorate = (this && this.__decorate) || function (decorators, target, key, desc) {
+    var c = arguments.length, r = c < 3 ? target : desc === null ? desc = Object.getOwnPropertyDescriptor(target, key) : desc, d;
+    if (typeof Reflect === "object" && typeof Reflect.decorate === "function") r = Reflect.decorate(decorators, target, key, desc);
+    else for (var i = decorators.length - 1; i >= 0; i--) if (d = decorators[i]) r = (c < 3 ? d(r) : c > 3 ? d(target, key, r) : d(target, key)) || r;
+    return c > 3 && r && Object.defineProperty(target, key, r), r;
+};
+var __metadata = (this && this.__metadata) || function (k, v) {
+    if (typeof Reflect === "object" && typeof Reflect.metadata === "function") return Reflect.metadata(k, v);
+};
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.ChatDrawDto = void 0;
+const class_validator_1 = require("class-validator");
+const swagger_1 = require("@nestjs/swagger");
+class ChatDrawDto {
+}
+__decorate([
+    (0, swagger_1.ApiProperty)({ example: 'Draw a cute little dog', description: '绘画描述信息' }),
+    __metadata("design:type", String)
+], ChatDrawDto.prototype, "prompt", void 0);
+__decorate([
+    (0, swagger_1.ApiProperty)({ example: 1, description: '绘画张数', required: true }),
+    __metadata("design:type", Number)
+], ChatDrawDto.prototype, "n", void 0);
+__decorate([
+    (0, swagger_1.ApiProperty)({ example: '1024x1024', description: '图片尺寸', required: true }),
+    __metadata("design:type", String)
+], ChatDrawDto.prototype, "size", void 0);
+__decorate([
+    (0, swagger_1.ApiProperty)({ example: 'standard', description: '图片质量', required: true }),
+    __metadata("design:type", String)
+], ChatDrawDto.prototype, "quality", void 0);
+__decorate([
+    (0, swagger_1.ApiProperty)({
+        example: 'close-up polaroid photo, of a little joyful cute panda, in the forest, sun rays coming, photographic, sharp focus, depth of field, soft lighting, heigh quality, 24mm, Nikon Z FX',
+        description: '绘画提示词！',
+        required: true,
+    }),
+    (0, swagger_1.ApiProperty)({ example: '--ar 16:9 --c 0', description: '除了prompt的额外参数' }),
+    (0, class_validator_1.IsOptional)(),
+    __metadata("design:type", String)
+], ChatDrawDto.prototype, "extraParam", void 0);
+__decorate([
+    (0, swagger_1.ApiProperty)({ example: 'https://xsdasdasd.com', description: '垫图图片地址' }),
+    (0, class_validator_1.IsOptional)(),
+    __metadata("design:type", String)
+], ChatDrawDto.prototype, "imgUrl", void 0);
+__decorate([
+    (0, swagger_1.ApiProperty)({ example: 'IMAGINE', description: '任务类型,可用值:IMAGINE,UPSCALE,VARIATION,ZOOM,PAN,DESCRIBE,BLEND,SHORTEN,SWAP_FACE' }),
+    (0, class_validator_1.IsOptional)(),
+    __metadata("design:type", String)
+], ChatDrawDto.prototype, "action", void 0);
+__decorate([
+    (0, swagger_1.ApiProperty)({ example: 1, description: '变体或者放大的序号' }),
+    (0, class_validator_1.IsOptional)(),
+    __metadata("design:type", Number)
+], ChatDrawDto.prototype, "orderId", void 0);
+__decorate([
+    (0, swagger_1.ApiProperty)({ example: 1, description: '绘画的DBID' }),
+    (0, class_validator_1.IsOptional)(),
+    __metadata("design:type", Number)
+], ChatDrawDto.prototype, "drawId", void 0);
+__decorate([
+    (0, swagger_1.ApiProperty)({ example: 1, description: 'customId' }),
+    (0, class_validator_1.IsOptional)(),
+    __metadata("design:type", String)
+], ChatDrawDto.prototype, "customId", void 0);
+__decorate([
+    (0, swagger_1.ApiProperty)({ example: 1, description: 'base64' }),
+    (0, class_validator_1.IsOptional)(),
+    __metadata("design:type", String)
+], ChatDrawDto.prototype, "base64", void 0);
+__decorate([
+    (0, swagger_1.ApiProperty)({ example: 1, description: '任务ID' }),
+    (0, class_validator_1.IsOptional)(),
+    __metadata("design:type", Number)
+], ChatDrawDto.prototype, "taskId", void 0);
+exports.ChatDrawDto = ChatDrawDto;

AIWebQuickDeploy/dist/modules/chat/dto/chatProcess.dto.js

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+"use strict";
+var __decorate = (this && this.__decorate) || function (decorators, target, key, desc) {
+    var c = arguments.length, r = c < 3 ? target : desc === null ? desc = Object.getOwnPropertyDescriptor(target, key) : desc, d;
+    if (typeof Reflect === "object" && typeof Reflect.decorate === "function") r = Reflect.decorate(decorators, target, key, desc);
+    else for (var i = decorators.length - 1; i >= 0; i--) if (d = decorators[i]) r = (c < 3 ? d(r) : c > 3 ? d(target, key, r) : d(target, key)) || r;
+    return c > 3 && r && Object.defineProperty(target, key, r), r;
+};
+var __metadata = (this && this.__metadata) || function (k, v) {
+    if (typeof Reflect === "object" && typeof Reflect.metadata === "function") return Reflect.metadata(k, v);
+};
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.ChatProcessDto = exports.Options = void 0;
+const class_validator_1 = require("class-validator");
+const swagger_1 = require("@nestjs/swagger");
+const class_transformer_1 = require("class-transformer");
+class Options {
+}
+__decorate([
+    (0, class_validator_1.IsString)(),
+    __metadata("design:type", String)
+], Options.prototype, "parentMessageId", void 0);
+exports.Options = Options;
+class ChatProcessDto {
+}
+__decorate([
+    (0, swagger_1.ApiProperty)({ example: 'hello, Who are you', description: '对话信息' }),
+    (0, class_validator_1.IsNotEmpty)({ message: '提问信息不能为空！' }),
+    __metadata("design:type", String)
+], ChatProcessDto.prototype, "prompt", void 0);
+__decorate([
+    (0, swagger_1.ApiProperty)({ example: 'https://aiweb.com', description: '对话附带的链接', required: false }),
+    __metadata("design:type", String)
+], ChatProcessDto.prototype, "url", void 0);
+__decorate([
+    (0, swagger_1.ApiProperty)({ example: '{ parentMessageId: 0 }', description: '上次对话信息', required: false }),
+    (0, class_transformer_1.Type)(() => Options),
+    __metadata("design:type", Options)
+], ChatProcessDto.prototype, "options", void 0);
+__decorate([
+    (0, swagger_1.ApiProperty)({
+        example: "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully. Respond using markdown.",
+        description: '系统预设信息',
+    }),
+    (0, class_validator_1.IsOptional)(),
+    __metadata("design:type", String)
+], ChatProcessDto.prototype, "systemMessage", void 0);
+__decorate([
+    (0, swagger_1.ApiProperty)({ example: 1, description: '应用id', required: false }),
+    (0, class_validator_1.IsOptional)(),
+    __metadata("design:type", Number)
+], ChatProcessDto.prototype, "appId", void 0);
+__decorate([
+    (0, swagger_1.ApiProperty)({ example: "gpt-3.5-turbo", description: '使用模型', required: false }),
+    (0, class_validator_1.IsOptional)(),
+    __metadata("design:type", String)
+], ChatProcessDto.prototype, "model", void 0);
+exports.ChatProcessDto = ChatProcessDto;

AIWebQuickDeploy/dist/modules/chat/helper.js

@@ -0,0 +1,46 @@
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.addOneIfOdd = exports.unifiedFormattingResponse = void 0;
+function unifiedFormattingResponse(keyType, response, others) {
+    let formatRes = {
+        keyType,
+        parentMessageId: '',
+        text: '',
+        usage: {
+            prompt_tokens: 0,
+            completion_tokens: 0,
+            total_tokens: 0,
+        }
+    };
+    const { parentMessageId } = response === null || response === void 0 ? void 0 : response.detail;
+    let { usage } = response === null || response === void 0 ? void 0 : response.detail;
+    if (!usage) {
+        usage = {
+            prompt_tokens: 0,
+            completion_tokens: 0,
+            total_tokens: 0
+        };
+    }
+    const { prompt_tokens, completion_tokens, total_tokens } = usage;
+    formatRes = {
+        keyType,
+        parentMessageId,
+        text: response.text,
+        usage: {
+            prompt_tokens,
+            completion_tokens,
+            total_tokens
+        }
+    };
+    return formatRes;
+}
+exports.unifiedFormattingResponse = unifiedFormattingResponse;
+function addOneIfOdd(num) {
+    if (num % 2 !== 0) {
+        return num + 1;
+    }
+    else {
+        return num;
+    }
+}
+exports.addOneIfOdd = addOneIfOdd;