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playwright-report-parser

v1.0.0

Published

A lightweight TypeScript library to programmatically parse and analyze Playwright HTML test reports.

Readme

Playwright Report Parser

A lightweight TypeScript library to programmatically parse and analyze Playwright HTML test reports. Extract failing tests, traces, screenshots, and detailed test results without opening the browser-based report viewer.

Features

  • 📊 Extract test statistics and metadata
  • ❌ Identify failing and flaky tests with error details
  • 📹 Locate trace files for debugging
  • 📸 Access screenshots and attachments
  • 🔍 Query specific test files and results
  • ✨ Type-safe with full TypeScript support

Installation

npm install playwright-report-parser

Usage

Programmatic Usage

import { PlaywrightReportParser } from 'playwright-report-parser'

const parser = await PlaywrightReportParser.parse(
  'playwright-report/index.html',
)

const report = parser.getReport()
console.log(`Total: ${report.stats.total}`)
console.log(`Passed: ${report.stats.expected}`)
console.log(`Failed: ${report.stats.unexpected}`)
console.log(`Flaky: ${report.stats.flaky}`)

const failingTests = parser.getFailingTests(report)
for (const { test, result } of failingTests) {
  console.log(`❌ ${test.title}`)
  console.log(`   File: ${test.location.file}:${test.location.line}`)
  console.log(`   Duration: ${result.duration}ms`)

  const trace = await parser.getTrace(result)
  for (const event of trace?.events ?? []) {
    console.log(`   📹 ${event.type}: ${event.message}`)
  }

  const screenshots = parser.getScreenshots(result)
  for (const screenshot of screenshots) {
    console.log(`   📸 ${screenshot.name}`)
  }

  const errorContext = parser.getErrorContext(result)
  console.log(`   🔍 ${errorContext.name}`)
}

How It Works

Playwright's HTML reports are self-contained React apps that embed all test data in a base64-encoded ZIP archive within the HTML:

  1. Locate the <script id="playwrightReportBase64"> tag and extract the base64-encoded ZIP archive
  2. Parse the report JSON file to extract test statistics and file IDs
  3. Read JSON files for detailed results
  4. Read trace/screenshot files