EmboFlow/apps/api/test/runtime-http.integration.spec.ts

import test from "node:test";
import assert from "node:assert/strict";
import { mkdtemp, mkdir, writeFile } from "node:fs/promises";
import os from "node:os";
import path from "node:path";

import { MongoMemoryServer } from "mongodb-memory-server";

import { createApiRuntime, type ApiRuntimeConfig } from "../src/runtime/server.ts";

async function readJson<T>(response: Response): Promise<T> {
  const payload = (await response.json()) as T;
  if (!response.ok) {
    throw new Error(`request failed with status ${response.status}: ${JSON.stringify(payload)}`);
  }
  return payload;
}

async function startRuntimeServer(config: ApiRuntimeConfig) {
  const runtime = await createApiRuntime(config);
  const server = await new Promise<import("node:http").Server>((resolve) => {
    const listening = runtime.app.listen(0, config.host, () => resolve(listening));
  });
  const address = server.address();
  if (!address || typeof address === "string") {
    throw new Error("failed to start runtime server");
  }

  return {
    baseUrl: `http://${config.host}:${address.port}`,
    close: async () => {
      await new Promise<void>((resolve, reject) => {
        server.close((error) => {
          if (error) {
            reject(error);
            return;
          }
          resolve();
        });
      });
      await runtime.client.close();
    },
  };
}

test("mongo-backed runtime reuses bootstrapped workspace and project across restarts", async (t) => {
  const mongod = await MongoMemoryServer.create();
  t.after(async () => {
    await mongod.stop();
  });

  const config: ApiRuntimeConfig = {
    host: "127.0.0.1",
    port: 0,
    mongoUri: mongod.getUri(),
    database: "emboflow-runtime-reuse",
    corsOrigin: "http://127.0.0.1:3000",
  };

  const first = await startRuntimeServer(config);

  const bootstrap = await readJson<{
    workspace: { _id: string; name: string };
    project: { _id: string; name: string };
  }>(
    await fetch(`${first.baseUrl}/api/dev/bootstrap`, {
      method: "POST",
      headers: { "content-type": "application/json" },
      body: JSON.stringify({ userId: "runtime-user", projectName: "Runtime Demo" }),
    }),
  );

  await first.close();

  const second = await startRuntimeServer(config);
  t.after(async () => {
    await second.close();
  });

  const workspaces = await readJson<Array<{ _id: string }>>(
    await fetch(`${second.baseUrl}/api/workspaces?ownerId=runtime-user`),
  );
  const projects = await readJson<Array<{ _id: string }>>(
    await fetch(`${second.baseUrl}/api/projects?workspaceId=${bootstrap.workspace._id}`),
  );

  assert.equal(workspaces.length, 1);
  assert.equal(projects.length, 1);
  assert.equal(workspaces[0]?._id, bootstrap.workspace._id);
  assert.equal(projects[0]?._id, bootstrap.project._id);
});

test("mongo-backed runtime persists probed assets and workflow runs through the HTTP API", async (t) => {
  const sourceDir = await mkdtemp(path.join(os.tmpdir(), "emboflow-runtime-"));
  await mkdir(path.join(sourceDir, "DJI_001"));
  await writeFile(path.join(sourceDir, "meta.json"), "{}");
  await writeFile(path.join(sourceDir, "intrinsics.json"), "{}");
  await writeFile(path.join(sourceDir, "video_meta.json"), "{}");
  await writeFile(path.join(sourceDir, "DJI_001", "DJI_001.mp4"), "");

  const mongod = await MongoMemoryServer.create();
  t.after(async () => {
    await mongod.stop();
  });

  const server = await startRuntimeServer({
    host: "127.0.0.1",
    port: 0,
    mongoUri: mongod.getUri(),
    database: "emboflow-runtime-flow",
    corsOrigin: "http://127.0.0.1:3000",
  });
  t.after(async () => {
    await server.close();
  });

  const bootstrap = await readJson<{
    workspace: { _id: string };
    project: { _id: string };
  }>(
    await fetch(`${server.baseUrl}/api/dev/bootstrap`, {
      method: "POST",
      headers: { "content-type": "application/json" },
      body: JSON.stringify({ userId: "flow-user", projectName: "Flow Project" }),
    }),
  );

  const asset = await readJson<{ _id: string }>(
    await fetch(`${server.baseUrl}/api/assets/register`, {
      method: "POST",
      headers: { "content-type": "application/json" },
      body: JSON.stringify({
        workspaceId: bootstrap.workspace._id,
        projectId: bootstrap.project._id,
        sourcePath: sourceDir,
      }),
    }),
  );

  const probe = await readJson<{ detectedFormatCandidates: string[]; recommendedNextNodes: string[] }>(
    await fetch(`${server.baseUrl}/api/assets/${asset._id}/probe`, { method: "POST" }),
  );
  const assets = await readJson<Array<{ _id: string; status: string; detectedFormats: string[] }>>(
    await fetch(
      `${server.baseUrl}/api/assets?projectId=${encodeURIComponent(bootstrap.project._id)}`,
    ),
  );

  const workflow = await readJson<{ _id: string }>(
    await fetch(`${server.baseUrl}/api/workflows`, {
      method: "POST",
      headers: { "content-type": "application/json" },
      body: JSON.stringify({
        workspaceId: bootstrap.workspace._id,
        projectId: bootstrap.project._id,
        name: "Delivery Flow",
      }),
    }),
  );

  const version = await readJson<{ _id: string; versionNumber: number }>(
    await fetch(`${server.baseUrl}/api/workflows/${workflow._id}/versions`, {
      method: "POST",
      headers: { "content-type": "application/json" },
      body: JSON.stringify({
        visualGraph: { viewport: { x: 0, y: 0, zoom: 1 } },
        logicGraph: {
          nodes: [
            { id: "source-asset", type: "source" },
            { id: "validate-structure", type: "inspect" },
            { id: "export-delivery-package", type: "export" },
          ],
          edges: [
            { from: "source-asset", to: "validate-structure" },
            { from: "validate-structure", to: "export-delivery-package" },
          ],
        },
        runtimeGraph: { selectedPreset: "delivery-normalization" },
        pluginRefs: ["builtin:delivery-nodes"],
      }),
    }),
  );

  const run = await readJson<{ _id: string; status: string }>(
    await fetch(`${server.baseUrl}/api/runs`, {
      method: "POST",
      headers: { "content-type": "application/json" },
      body: JSON.stringify({
        workflowDefinitionId: workflow._id,
        workflowVersionId: version._id,
      }),
    }),
  );
  const tasks = await readJson<Array<{ nodeId: string; status: string }>>(
    await fetch(`${server.baseUrl}/api/runs/${run._id}/tasks`),
  );

  assert.deepEqual(probe.detectedFormatCandidates.includes("delivery_package"), true);
  assert.deepEqual(probe.recommendedNextNodes.includes("validate_structure"), true);
  assert.equal(assets[0]?._id, asset._id);
  assert.equal(assets[0]?.status, "probed");
  assert.deepEqual(assets[0]?.detectedFormats.includes("delivery_package"), true);
  assert.equal(version.versionNumber, 1);
  assert.equal(run.status, "queued");
  assert.equal(tasks.length, 3);
  assert.equal(tasks[0]?.nodeId, "source-asset");
  assert.equal(tasks[0]?.status, "queued");
  assert.equal(tasks[1]?.status, "pending");
});