Step‑by‑Step Guide: Building an Automated Testing Suite for the OpenClaw Rating API over WebSockets

The Automated Testing Suite for the OpenClaw Rating API over WebSockets provides developers with a complete, reproducible workflow—from local setup and security assertions to CI/CD integration and production deployment on UBOS.

1. Introduction

AI‑agents are dominating headlines, promising to automate everything from code reviews to customer support. In this climate, automated testing is no longer optional; it’s a prerequisite for reliable, secure services. The OpenClaw Rating API, which streams real‑time rating data via WebSockets, exemplifies this need. This guide walks you through building a robust test suite that validates connectivity, message integrity, and security while fitting seamlessly into modern CI/CD pipelines.

What is the OpenClaw Rating API?

OpenClaw is a lightweight, open‑source rating engine that exposes its data through a WebSocket endpoint. Clients subscribe to rating updates, receive JSON payloads, and can push rating adjustments back to the server. Because WebSockets maintain a persistent, bidirectional channel, testing must cover both inbound and outbound traffic, authentication, and rate‑limiting.

2. Prerequisites

• Node.js ≥ 18 (for JavaScript examples)
• Python ≥ 3.10 (for Python examples)
• Docker ≥ 20.10 (containerization)
• A CI/CD platform (GitHub Actions, GitLab CI, or similar)
• Access to the OpenClaw WebSocket URL and a valid Bearer token
• TLS certificates if you run the API behind HTTPS

Security considerations

Before writing any test, ensure the following security measures are in place:

3. Setting Up the Development Environment

Clone the repository

git clone https://github.com/ubos/openclaw-testing-suite.git
cd openclaw-testing-suite

Install dependencies

Node.js (using npm):

npm install ws jest dotenv

Python (using pip):

pip install websockets pytest python-dotenv

Configure the WebSocket client

Create a .env file at the project root:

WS_URL=wss://api.openclaw.io/rating
AUTH_TOKEN=your-secure-bearer-token

4. Building the Test Suite

Designing test cases

A well‑structured suite follows the MECE principle (Mutually Exclusive, Collectively Exhaustive). Below are the core categories:

1. Connection Tests: Verify TLS handshake, token authentication, and reconnection logic.
2. Message Format Tests: Ensure inbound JSON matches the schema (rating, timestamp, userId).
3. Error Handling Tests: Simulate malformed payloads, unauthorized access, and rate‑limit breaches.
4. Security Assertions: Confirm token validation, encrypted payloads, and proper closure on violations.

Node.js example – Connection & Authentication

require('dotenv').config();
const WebSocket = require('ws');

describe('OpenClaw WebSocket Connection', () => {
  let ws;

  beforeAll(() => {
    ws = new WebSocket(process.env.WS_URL, {
      headers: {
        Authorization: `Bearer ${process.env.AUTH_TOKEN}`
      }
    });
  });

  test('should establish a secure connection (wss)', done => {
    ws.on('open', () => {
      expect(ws.protocol).toBe(''); // No sub‑protocol required
      done();
    });

    ws.on('error', err => {
      done.fail(`Connection error: ${err.message}`);
    });
  });

  test('should reject invalid token', done => {
    const badWs = new WebSocket(process.env.WS_URL, {
      headers: { Authorization: 'Bearer invalid-token' }
    });

    badWs.on('close', (code, reason) => {
      expect(code).toBe(4001); // Custom code for auth failure
      expect(reason).toMatch(/invalid token/i);
      done();
    });
  });
});

Python example – Message Validation & Rate Limiting

import os
import json
import asyncio
import websockets
import pytest
from dotenv import load_dotenv

load_dotenv()

WS_URL = os.getenv("WS_URL")
TOKEN = os.getenv("AUTH_TOKEN")

@pytest.mark.asyncio
async def test_message_schema():
    async with websockets.connect(
        WS_URL,
        extra_headers={"Authorization": f"Bearer {TOKEN}"}
    ) as ws:
        # Receive a single rating update
        raw = await ws.recv()
        payload = json.loads(raw)

        # Security assertion: payload must be signed (example field)
        assert "signature" in payload, "Missing signature"

        # Schema assertion
        required = {"rating", "timestamp", "userId"}
        assert required.issubset(payload.keys()), f"Missing fields: {required - payload.keys()}"

@pytest.mark.asyncio
async def test_rate_limit():
    async with websockets.connect(
        WS_URL,
        extra_headers={"Authorization": f"Bearer {TOKEN}"}
    ) as ws:
        # Flood the server with 101 messages (assuming limit is 100 per minute)
        for i in range(101):
            await ws.send(json.dumps({"action": "ping"}))

        # Expect server to close with 429
        try:
            await ws.recv()
        except websockets.exceptions.ConnectionClosedError as e:
            assert e.code == 429, f"Expected 429, got {e.code}"

Security assertions checklist

• Validate Authorization header format.
• Confirm TLS version ≥ 1.2.
• Check JSON payload signature or HMAC.
• Assert server returns 429 after rate‑limit breach.
• Ensure the connection is closed on malformed JSON.

5. Running Tests Locally

Both test runners provide a concise output. Use the following commands:

# Node.js (Jest)
npm test

# Python (pytest)
pytest -v

A successful run should display PASS for each test case, similar to:

PASS  tests/connection.test.js
  OpenClaw WebSocket Connection
    ✓ should establish a secure connection (wss) (45ms)
    ✓ should reject invalid token (30ms)

PASS  tests/message.test.py
  test_message_schema PASSED
  test_rate_limit PASSED

Test Suites: 2 passed, 2 total
Tests:       4 passed, 4 total

6. Integrating with CI/CD

GitHub Actions workflow

name: CI

on:
  push:
    branches: [ main ]
  pull_request:
    branches: [ main ]

jobs:
  test:
    runs-on: ubuntu-latest
    services:
      docker:
        image: docker:20.10-dind
        options: --privileged

    steps:
      - uses: actions/checkout@v3

      - name: Set up Node.js
        uses: actions/setup-node@v3
        with:
          node-version: '18'

      - name: Set up Python
        uses: actions/setup-python@v4
        with:
          python-version: '3.10'

      - name: Install dependencies (Node)
        run: npm ci

      - name: Install dependencies (Python)
        run: pip install -r requirements.txt

      - name: Load secrets
        env:
          AUTH_TOKEN: ${{ secrets.OPENCLAW_AUTH_TOKEN }}
          WS_URL: ${{ secrets.OPENCLAW_WS_URL }}
        run: echo "Secrets loaded"

      - name: Run Node tests
        run: npm test

      - name: Run Python tests
        run: pytest -v

      - name: Upload test artifacts
        uses: actions/upload-artifact@v3
        with:
          name: test-results
          path: ./test-results/

Fail‑fast strategy

Configure the pipeline to abort on the first failing test (--bail for Jest, --maxfail=1 for pytest). This reduces feedback loops and prevents downstream stages (e.g., Docker build) from running on broken code.

7. Deploying the Test Suite on UBOS

UBOS offers a streamlined path to run containerized workloads. Follow these steps to ship your test suite as a first‑class service.

Containerization

# Dockerfile
FROM node:18-alpine AS node-test
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
CMD ["npm", "test"]

FROM python:3.10-slim AS python-test
WORKDIR /app
COPY requirements.txt .
RUN pip install -r requirements.txt
COPY . .
CMD ["pytest", "-v"]

Build and push the multi‑stage image to your registry:

docker build -t registry.example.com/openclaw-test:latest .
docker push registry.example.com/openclaw-test:latest

UBOS deployment manifest

apiVersion: v1
kind: Service
metadata:
  name: openclaw-test
spec:
  image: registry.example.com/openclaw-test:latest
  env:
    - name: WS_URL
      valueFrom:
        secretKeyRef:
          name: openclaw-secrets
          key: ws_url
    - name: AUTH_TOKEN
      valueFrom:
        secretKeyRef:
          name: openclaw-secrets
          key: auth_token
  restartPolicy: OnFailure
  schedule: "0 * * * *"   # Run every hour

The schedule field leverages UBOS’s built‑in cron runner, ensuring the suite executes automatically after each deployment or on a regular cadence.

Monitoring & alerts

Integrate with UBOS’s Workflow automation studio to push test failures to Slack, email, or a custom webhook. Example JSON payload:

{
  "service": "openclaw-test",
  "status": "failed",
  "failedTests": ["test_rate_limit", "test_message_schema"],
  "timestamp": "2026-03-18T12:34:56Z"
}

8. Conclusion

Automated testing for the OpenClaw Rating API over WebSockets is now a repeatable, secure, and CI‑ready process. By following the steps above you gain:

• Confidence that authentication, TLS, and rate‑limiting work as intended.
• Fast feedback loops via GitHub Actions or GitLab CI.
• Scalable, container‑native execution on the UBOS platform overview, leveraging its monitoring and automation capabilities.

As AI agents continue to reshape development workflows, integrating intelligent test orchestration—such as auto‑generating test cases from API schemas—will become the next frontier. Stay ahead by exploring UBOS’s AI marketing agents for automated documentation, and consider the UBOS pricing plans that fit your team’s scale.

9. Reference link

For a ready‑to‑use deployment of OpenClaw on UBOS, visit the official hosting page: OpenClaw hosting on UBOS.

External source for OpenClaw announcement: OpenClaw launches real‑time rating API