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@flowlab/all

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A cool library focusing on handling various flows

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"use strict"; // --- src/scheduler/distributed.ts --- var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) { function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); } return new (P || (P = Promise))(function (resolve, reject) { function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } } function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } } function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); } step((generator = generator.apply(thisArg, _arguments || [])).next()); }); }; var __generator = (this && this.__generator) || function (thisArg, body) { var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g = Object.create((typeof Iterator === "function" ? Iterator : Object).prototype); return g.next = verb(0), g["throw"] = verb(1), g["return"] = verb(2), typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g; function verb(n) { return function (v) { return step([n, v]); }; } function step(op) { if (f) throw new TypeError("Generator is already executing."); while (g && (g = 0, op[0] && (_ = 0)), _) try { if (f = 1, y && (t = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t; if (y = 0, t) op = [op[0] & 2, t.value]; switch (op[0]) { case 0: case 1: t = op; break; case 4: _.label++; return { value: op[1], done: false }; case 5: _.label++; y = op[1]; op = [0]; continue; case 7: op = _.ops.pop(); _.trys.pop(); continue; default: if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; } if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; } if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; } if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; } if (t[2]) _.ops.pop(); _.trys.pop(); continue; } op = body.call(thisArg, _); } catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; } if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true }; } }; Object.defineProperty(exports, "__esModule", { value: true }); exports.DistributedSchedulerPlaceholder = void 0; /** * MARK: 分布式调度器占位符 * @class DistributedSchedulerPlaceholder * @implements IDistributedScheduler * @description 分布式调度器占位符 (示例) */ var DistributedSchedulerPlaceholder = /** @class */ (function () { function DistributedSchedulerPlaceholder(provider) { if (provider === void 0) { provider = 'kubernetes'; } this.queueProvider = provider; console.log("[DistributedScheduler] \u521D\u59CB\u5316\uFF0C\u4F7F\u7528\u63D0\u4F9B\u8005: ".concat(provider)); } DistributedSchedulerPlaceholder.prototype.scheduleWorkflow = function (definitionId, input, options) { return __awaiter(this, void 0, void 0, function () { var taskId; return __generator(this, function (_a) { taskId = "dist_".concat(this.queueProvider, "_").concat(Date.now()); console.log("[DistributedScheduler] \u5C06\u5DE5\u4F5C\u6D41 ".concat(definitionId, " \u8C03\u5EA6\u5230 ").concat(this.queueProvider), { input: input, options: options, taskId: taskId }); // TODO: 实现与具体消息队列或 K8s 的集成逻辑 // - 将任务信息序列化 (JSON) // - 发送到指定队列/创建 K8s Job if (this.queueProvider === 'kubernetes' && (options === null || options === void 0 ? void 0 : options.kubernetesJobConfig)) { console.log(' - 创建 Kubernetes Job:', options.kubernetesJobConfig); // 调用 Kubernetes API 创建 Job } else if (this.queueProvider === 'rabbitmq' && (options === null || options === void 0 ? void 0 : options.queueName)) { console.log(" - \u53D1\u9001\u5230 RabbitMQ \u961F\u5217: ".concat(options.queueName)); // 使用 amqplib 等库发送消息 } return [2 /*return*/, taskId]; }); }); }; DistributedSchedulerPlaceholder.prototype.scheduleNode = function (nodeId, context, options) { return __awaiter(this, void 0, void 0, function () { var taskId; return __generator(this, function (_a) { taskId = "dist_node_".concat(this.queueProvider, "_").concat(Date.now()); console.log("[DistributedScheduler] \u5C06\u8282\u70B9 ".concat(nodeId, " \u8C03\u5EA6\u5230 ").concat(this.queueProvider), { context: context, options: options, taskId: taskId }); // TODO: 实现节点任务的分布式调度 // - 可能需要将节点执行逻辑包装成一个独立的任务单元 // - 传递必要的上下文信息 return [2 /*return*/, taskId]; }); }); }; DistributedSchedulerPlaceholder.prototype.cancel = function (taskId) { return __awaiter(this, void 0, void 0, function () { return __generator(this, function (_a) { console.log("[DistributedScheduler] \u5C1D\u8BD5\u53D6\u6D88\u4EFB\u52A1 ".concat(taskId, " \u5728 ").concat(this.queueProvider)); // TODO: 实现取消逻辑 (例如,删除 K8s Job, 从队列中移除消息 - 如果可能) return [2 /*return*/, false]; // 取消分布式任务通常比较复杂 }); }); }; return DistributedSchedulerPlaceholder; }()); exports.DistributedSchedulerPlaceholder = DistributedSchedulerPlaceholder;