#!/usr/bin/env bun
type PromptOption = {
type: "select" | "text";
message: string;
options?: string[];
};
declare const prompt: (options: PromptOption) => Promise<string>;
import { runWorkflow } from "../src/workflow/orchestrator.js";
import type { AgentType, Hypothesis } from "../src/types.js";
const agents7: AgentType[] = [
"systems",
"econ",
"socio",
"governance",
"culture",
"risk",
"validation"
];
const agents12: AgentType[] = [
"systems",
"econ",
"socio",
"governance",
"culture",
"risk",
"validation",
"environmental",
"demographic",
"infrastructure",
"technology",
"historical"
];
type AgentMode = "7 Agent" | "12 Agent";
function splitList(input: string): string[] {
return input
.split(",")
.map(item => item.trim())
.filter(Boolean);
}
function resolveModeFromArgs(args: string[]): AgentMode | null {
const modeIndex = args.findIndex(arg => arg === "--mode" || arg === "-m");
const nextValue = modeIndex === -1 ? undefined : args[modeIndex + 1];
if (nextValue) {
const value = nextValue.trim();
if (value === "7 Agent" || value === "7" || value.toLowerCase() === "7-agent") {
return "7 Agent";
}
if (value === "12 Agent" || value === "12" || value.toLowerCase() === "12-agent") {
return "12 Agent";
}
}
const inlineMode = args.find(arg => arg.startsWith("--mode="));
if (inlineMode) {
const value = inlineMode.split("=")[1]?.trim() ?? "";
if (value === "7 Agent" || value === "7" || value.toLowerCase() === "7-agent") {
return "7 Agent";
}
if (value === "12 Agent" || value === "12" || value.toLowerCase() === "12-agent") {
return "12 Agent";
}
}
return null;
}
function printHelp(): void {
console.log("\n社会体系建模交互式 CLI\n");
console.log("用法:");
console.log(" bun run bin/interactive.ts");
console.log(" bun run bin/interactive.ts --mode \"7 Agent\"");
console.log(" bun run bin/interactive.ts --mode \"12 Agent\"\n");
console.log("选项:");
console.log(" -m, --mode 选择 Agent 模式 (7 Agent | 12 Agent)");
console.log(" -h, --help 显示帮助信息\n");
}
export async function runInteractive(): Promise<void> {
const args = process.argv.slice(2);
if (args.includes("--help") || args.includes("-h")) {
printHelp();
return;
}
const modeFromArgs = resolveModeFromArgs(args);
const selectedMode =
modeFromArgs ??
(await prompt({
type: "select",
message: "选择 Agent 模式:\n1. 7 Agent 模式（默认）\n2. 12 Agent 模式（扩展）",
options: ["7 Agent", "12 Agent"]
}));
const useExtendedAgents = selectedMode === "12 Agent";
const agents = useExtendedAgents ? agents12 : agents7;
const topic = await prompt({ type: "text", message: "请输入假设主题：" });
const assumptionsInput = await prompt({
type: "text",
message: "请输入假设前提（多个,逗号分隔）："
});
const constraintsInput = await prompt({
type: "text",
message: "请输入约束条件（多个,逗号分隔）："
});
const goalsInput = await prompt({
type: "text",
message: "请输入目标（多个,逗号分隔）："
});
const hypothesis: Hypothesis = {
assumptions: splitList(assumptionsInput ?? ""),
constraints: splitList(constraintsInput ?? ""),
goals: splitList(goalsInput ?? "")
};
if (hypothesis.assumptions.length === 0 || hypothesis.goals.length === 0) {
console.log("\n输入为空，未执行工作流。请确保 assumptions 与 goals 非空。\n");
return;
}
const model = await runWorkflow(hypothesis, { extendedAgents: useExtendedAgents });
console.log("\n=== 执行结果 ===");
console.log(`主题: ${topic ?? ""}`);
console.log(`Agent 模式: ${useExtendedAgents ? "12 Agent" : "7 Agent"}`);
console.log(`迭代次数: ${model.metadata.iterations}`);
console.log(`置信度: ${model.metadata.confidence.toFixed(2)}`);
console.log(`Agent 数量: ${model.agentOutputs.length}`);
console.log(`Agent 列表: ${agents.join(", ")}`);
}
if (import.meta.main) {
runInteractive().catch(error => {
console.error(error);
process.exit(1);
});
}
