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donobu

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Create browser automations with an LLM agent and replay them as Playwright scripts.

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/** * @fileoverview Donobu Markdown Reporter for Playwright. * * Writes a Markdown summary of the run to disk. When `$GITHUB_STEP_SUMMARY` * is set (i.e. running inside a GitHub Actions step), the same Markdown is * also written there so the report shows up in the job summary without * needing a separate `cat >> $GITHUB_STEP_SUMMARY` workflow step. Both * writes are truncating, so when auto-heal regenerates the report afterwards * the consolidated version overwrites the initial one. * * @usage * ```ts * // playwright.config.ts * reporter: [ * ['donobu/reporter/markdown', { outputFile: 'test-results/report.md' }], * ], * ``` * * During an auto-heal rerun (`DONOBU_AUTO_HEAL_ACTIVE=1`) the reporter skips * file writes. It always merges its output entry into the shared state file * so the orchestrator knows to regenerate the markdown from the merged report. */ import type { FullConfig, FullResult, Reporter, Suite, TestCase, TestResult } from '@playwright/test/reporter'; export interface DonobuMarkdownReporterOptions { /** Path to write the Markdown report. Defaults to `test-results/report.md`. */ outputFile?: string; } export default class DonobuMarkdownReporter implements Reporter { private readonly options; private readonly resultsByTest; private rootDir; constructor(options?: DonobuMarkdownReporterOptions); onBegin(config: FullConfig, _suite: Suite): void; onTestEnd(test: TestCase, result: TestResult): void; onEnd(_result: FullResult): Promise<void>; printsToStdio(): boolean; } //# sourceMappingURL=markdown.d.ts.map