import { describe, expect, it } from "vitest";
import { mkdtemp, rm, writeFile } from "node:fs/promises";
import { tmpdir } from "node:os";
import { join } from "node:path";
import { runAgent } from "../../src/agent/runner.js";
import { ToolRegistry } from "../../src/agent/tools.js";
import { readFileTool } from "../../src/agent/workspace.js";
import { createMockModelFactory } from "../integration/helpers.js";

describe("runAgent with AI SDK tool loop", () => {
  it("executes SDK tools and returns the final assistant response", async () => {
    const ws = await mkdtemp(join(tmpdir(), "hub-runner-"));
    try {
      await writeFile(join(ws, "lesson.txt"), "hello lesson", "utf8");
      const tools = new ToolRegistry();
      tools.register("read_file", readFileTool);
      const { modelFactory, models } = createMockModelFactory([
        {
          toolCalls: [{ toolCallId: "call-1", toolName: "read_file", input: { path: "lesson.txt" } }],
        },
        { text: "done", finishReason: "stop" },
      ]);

      const result = await runAgent(modelFactory, tools, {
        prompt: "read lesson.txt",
        model: "mock-model",
        project: { projectId: "p", boundChatId: "c", workspaceDir: ws },
        systemPrompt: "system",
        maxIterations: 5,
      });

      expect(result.status).toBe("completed");
      expect(result.messages.at(-1)).toMatchObject({ role: "assistant" });
      expect(models.get("mock-model")?.calls).toHaveLength(2);
    } finally {
      await rm(ws, { recursive: true, force: true });
    }
  });
});