v4.1.0

AIWebQuickDeploy/dist/modules/ai/fluxDraw.service.js

@@ -0,0 +1,148 @@
+"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 FluxDrawService_1;
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.FluxDrawService = void 0;
+const common_1 = require("@nestjs/common");
+const axios_1 = require("axios");
+const chatLog_service_1 = require("../chatLog/chatLog.service");
+const globalConfig_service_1 = require("../globalConfig/globalConfig.service");
+const upload_service_1 = require("../upload/upload.service");
+const openaiChat_service_1 = require("./openaiChat.service");
+let FluxDrawService = FluxDrawService_1 = class FluxDrawService {
+    constructor(uploadService, globalConfigService, chatLogService, openAIChatService) {
+        this.uploadService = uploadService;
+        this.globalConfigService = globalConfigService;
+        this.chatLogService = chatLogService;
+        this.openAIChatService = openAIChatService;
+        this.logger = new common_1.Logger(FluxDrawService_1.name);
+    }
+    async fluxDraw(inputs, buildMessageFromParentMessageId) {
+        var _a, _b, _c, _d;
+        common_1.Logger.log('开始提交 Flux 绘图任务 ', 'DrawService');
+        const { apiKey, model, proxyUrl, prompt, extraParam, timeout, onSuccess, onFailure, groupId, } = inputs;
+        const isDalleChat = await this.globalConfigService.getConfigs([
+            'isDalleChat',
+        ]);
+        let drawPrompt;
+        if (isDalleChat === '1') {
+            try {
+                common_1.Logger.log('已开启连续绘画模式', 'FluxDraw');
+                const { messagesHistory } = await buildMessageFromParentMessageId(`参考上文，结合我的需求，给出绘画描述。我的需求是：${prompt}`, {
+                    groupId,
+                    systemMessage: '你是一个绘画提示词生成工具，请根据用户的要求，结合上下文，用一段文字，描述用户需要的绘画需求，不用包含任何礼貌性的寒暄,只需要场景的描述,可以适当联想',
+                    maxModelTokens: 8000,
+                    maxRounds: 5,
+                    fileInfo: '',
+                }, this.chatLogService);
+                drawPrompt = await this.openAIChatService.chatFree(prompt, undefined, messagesHistory);
+            }
+            catch (error) {
+                console.error('调用chatFree失败：', error);
+                drawPrompt = prompt;
+            }
+        }
+        else {
+            drawPrompt = prompt;
+        }
+        const size = (extraParam === null || extraParam === void 0 ? void 0 : extraParam.size) || '1024x1024';
+        let result = { answer: '', fileInfo: '', status: 2 };
+        try {
+            const options = {
+                method: 'POST',
+                url: `${proxyUrl}/v1/images/generations`,
+                timeout: timeout,
+                headers: {
+                    'Content-Type': 'application/json',
+                    Authorization: `Bearer ${apiKey}`,
+                },
+                data: {
+                    model: model,
+                    prompt: drawPrompt,
+                    size,
+                },
+            };
+            common_1.Logger.log(`正在准备发送请求到 ${options.url}，payload: ${JSON.stringify(options.data)}, headers: ${JSON.stringify(options.headers)}`, 'FluxDrawService');
+            const response = await (0, axios_1.default)(options);
+            common_1.Logger.debug(`请求成功${JSON.stringify(response.data.data[0])}`);
+            common_1.Logger.debug(`请求状态${JSON.stringify(response.status)}`);
+            const url = response.data.data[0].url;
+            try {
+                common_1.Logger.log(`------> 开始上传图片！！！`, 'DrawService');
+                const now = new Date();
+                const year = now.getFullYear();
+                const month = String(now.getMonth() + 1).padStart(2, '0');
+                const day = String(now.getDate()).padStart(2, '0');
+                const currentDate = `${year}${month}/${day}`;
+                result.fileInfo = await this.uploadService.uploadFileFromUrl({
+                    url: url,
+                    dir: `images/dalle/${currentDate}`,
+                });
+                common_1.Logger.log(`图片上传成功，URL: ${result.fileInfo}`, 'DrawService');
+            }
+            catch (error) {
+                common_1.Logger.error(`上传图片过程中出现错误: ${error}`, 'DrawService');
+            }
+            let revised_prompt_cn;
+            try {
+                revised_prompt_cn = await this.openAIChatService.chatFree(`根据提示词{${drawPrompt}}, 模拟AI绘画机器人的语气，用中文回复，告诉用户已经画好了`);
+            }
+            catch (error) {
+                revised_prompt_cn = `${prompt} 绘制成功`;
+                common_1.Logger.error('翻译失败: ', error);
+            }
+            result.answer = revised_prompt_cn;
+            result.status = 3;
+            onSuccess(result);
+            return;
+        }
+        catch (error) {
+            result.status = 5;
+            onFailure(result);
+            const status = ((_a = error === null || error === void 0 ? void 0 : error.response) === null || _a === void 0 ? void 0 : _a.status) || 500;
+            console.log('draw error: ', JSON.stringify(error), status);
+            const message = (_d = (_c = (_b = error === null || error === void 0 ? void 0 : error.response) === null || _b === void 0 ? void 0 : _b.data) === null || _c === void 0 ? void 0 : _c.error) === null || _d === void 0 ? void 0 : _d.message;
+            if (status === 429) {
+                result.text = '当前请求已过载、请稍等会儿再试试吧！';
+                return result;
+            }
+            if (status === 400 &&
+                message.includes('This request has been blocked by our content filters')) {
+                result.text = '您的请求已被系统拒绝。您的提示可能存在一些非法的文本。';
+                return result;
+            }
+            if (status === 400 &&
+                message.includes('Billing hard limit has been reached')) {
+                result.text =
+                    '当前模型key已被封禁、已冻结当前调用Key、尝试重新对话试试吧！';
+                return result;
+            }
+            if (status === 500) {
+                result.text = '绘制图片失败，请检查你的提示词是否有非法描述！';
+                return result;
+            }
+            if (status === 401) {
+                result.text = '绘制图片失败，此次绘画被拒绝了！';
+                return result;
+            }
+            result.text = '绘制图片失败，请稍后试试吧！';
+            return result;
+        }
+    }
+};
+FluxDrawService = FluxDrawService_1 = __decorate([
+    (0, common_1.Injectable)(),
+    __metadata("design:paramtypes", [upload_service_1.UploadService,
+        globalConfig_service_1.GlobalConfigService,
+        chatLog_service_1.ChatLogService,
+        openaiChat_service_1.OpenAIChatService])
+], FluxDrawService);
+exports.FluxDrawService = FluxDrawService;