test-report-vibes 0.2.1

Deterministic HTML summaries of Cucumber test reports

Test Report Vibes

Deterministic HTML summaries of Cucumber test reports.

test-report-vibes turns Cucumber JSON output into a focused, self-contained HTML report so you can quickly review what failed and why.

What it does

• Filters report data to failing, undefined, and pending steps
• Keeps scenario context (all steps), plus optional screenshots from embeddings/hooks
• Groups issues by feature and includes pass/fail stats across the full run
• Builds a deterministic executive summary (no external AI/LLM calls)
• Optionally classifies failing scenarios by tags such as @new_issue and @flaky

Installation

From PyPI:

pip install test-report-vibes

From source:

git clone https://github.com/srbarrios/test-report-vibes.git
cd test-report-vibes
pip install -e .

Quick start

test-report-vibes examples/sample_report_with_classifiers.json

This creates examples/sample_report_with_classifiers.html.

CLI usage

test-report-vibes [OPTIONS] INPUT_FILE

Arguments:
  INPUT_FILE              Path to Cucumber JSON report [required]

Options:
  -o, --output PATH       Output HTML file path (default: INPUT_FILE.html)
  -v, --verbose           Verbose output with detailed exception trace on errors
  --no-classify           Skip the tag-based classification section
  --help                  Show this message and exit

Examples:

# Default output path: INPUT_FILE.html
test-report-vibes cucumber-report.json

# Custom output file
test-report-vibes cucumber-report.json -o report-summary.html

# Disable tag-based classification section
test-report-vibes cucumber-report.json --no-classify

# Run as module
python -m test_report_vibes cucumber-report.json

Input format

The tool expects standard Cucumber JSON (root array of features). At minimum, each feature should include:

• uri, id, name, keyword, elements

Steps support these statuses:

• passed, failed, skipped, pending, undefined

Screenshots are supported through base64 embeddings with image mime types (for example image/png) on steps and hooks.

Output report highlights

Generated HTML includes:

• Overall run dashboard (passed/failed/skipped feature percentages)
• Executive summary cards such as:
  • Most impacted features
  • Recurring normalized error patterns
  • Top error types
  • Framework gaps (undefined/pending steps)
  • Slowest failing scenarios and steps
• Failing features with collapsible scenario details
• Full step context including status, duration, location, and error text
• Embedded screenshots when present
• Optional "Classified features" section from tag-based mapping

Tag-based classification

When classification is enabled (default), statuses are derived from tags in this priority order:

• @new_issue -> New and reported
• @under_debugging -> Debugging
• @bug_reported -> Bug reported
• @test_issue -> Test Framework issue
• @flaky -> Flaky Test
• no match -> Not reported

Sample Report

Check out a live example of the generated report:

View Sample Report

Development

Install dev dependencies:

pip install -e ".[dev]"

Run tests:

pytest

Format and lint:

black src/
ruff check src/

License

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