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detox-json-reporter

v1.0.0

Published

Custom Jest reporter for Detox to generate JSON reports compatible with Grafana dashboards

Downloads

1,535

Readme

npm license build

📘 View Documentation on GitHub Pages

detox-json-reporter

📊 A lightweight, TypeScript-powered JSON reporter for Detox end-to-end testing with Jest.

Generates structured detox-results.json files for analysis, dashboards (Grafana, Prometheus), or custom test pipelines.


✨ Features

  • Generates rich JSON reports per test case
  • Includes timestamps, durations, retries, platform & environment info
  • Flaky test detection
  • Works with Detox + Jest seamlessly

🚀 Installation

yarn add -D detox-json-reporter
# or
npm install --save-dev detox-json-reporter

🛠 Usage

➤ Option 1: Use in jest.config.js

Add the reporter to your Jest configuration:

module.exports = {
  reporters: [
    'default',
    ['detox-json-reporter', {
      outputFile: './reports/detox-results.json' // optional path
    }]
  ]
};

This will generate a file at ./reports/detox-results.json after running your Detox tests.

➤ Option 2: Use via Detox config (.detoxrc.js or package.json)

{
  "detox": {
    "testRunner": "jest",
    "runnerConfig": "e2e/config.json",
    "reportSpecs": true,
    "reporter": "detox-json-reporter"
  }
}

This will instruct Detox to use the reporter automatically.


📄 Output Format Example

[
  {
    "testName": "Login flow should succeed",
    "status": "passed",
    "duration": 1325,
    "file": "e2e/Login.test.ts",
    "startedAt": "2025-06-26T10:25:00.123Z",
    "endedAt": "2025-06-26T10:25:01.448Z",
    "failureMessages": [],
    "retries": 1,
    "flaky": false,
    "environment": {
      "platform": "ios",
      "hostPlatform": "darwin",
      "hostname": "MacBook-Pro.local",
      "osVersion": "24.1.0",
      "cpuArch": "arm64"
    }
  }
]

📊 Use Cases

  • 📈 Grafana dashboards (via JSON to Prometheus/Loki)

  • CI pipeline debugging

  • Flaky test monitoring

  • Metrics analysis across test suites


👤 Author

Fábio Gomes - @fabiobhz


📄 License

This project is licensed under the MIT License - see the LICENSE for details.