allure-ai-analyzer 1.0.7

An intelligent CLI tool that transforms raw Allure test results into an interactive dashboard with an AI analyst.

Allure AI Failure Analyzer

An intelligent CLI tool that transforms raw Allure test results into an interactive dashboard featuring a powerful AI analyst. Get visual insights, proactive summaries, and ask complex questions about your test failures in natural language.

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Features

✨ Interactive HTML Dashboard: Displays grouped failures with expandable details, including stack traces and examples.

🤖 Integrated AI Analyst (Powered by Gemini):

• Conversational memory for follow-up questions.
• Autonomous use of analysis tools (historical trends, bug frequency, etc.).
• Natural language queries: “What’s the difference between the last two reports?”

🚀 Proactive Executive Summary: Automatic summary of the latest run (configurable).

📊 Visual Data Dashboard: Failures by epic, status breakdown, trends.

📈 Historical Trend Analysis: Identify patterns and track bug recurrence over time.

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Prerequisites

• Python 3.11+
• pip
• An Allure results directory from your test runs.

macOS tip (Homebrew): brew install python@3.11

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Installation

pip install allure-ai-analyzer

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Quickstart

1. Create a virtual environment (recommended):

   python3.11 -m venv .venv
   source .venv/bin/activate
   

2. Install the CLI:

   pip install allure-ai-analyzer
   

3. Configure your API key:
   Create a .env file in your automation project root:

   GEMINI_API_KEY="your-api-key-here"
   

4. Generate a report:
   Run from the folder containing allure-results:

   allure-analyze generate
   

5. View the dashboard + AI analyst:

   allure-analyze view
   

   Default server: http://127.0.0.1:8000

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Configuration

Override defaults with allure-analyzer-config.yaml in your project root.

Default config (src/allure_analyzer/config/default_config.yaml):

top_n_groups_to_report: -1
include_broken: true
proactive_summary_on_load: true

CLI flags:

• --path /path/to/results
• --config /path/to/config.yaml
• --top-n 10
• --exclude-broken
• --port 8001
• --no-proactive-summary

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Usage Examples

• Generate a report:

  allure-analyze generate --top-n 10
  

• View the dashboard:

  allure-analyze view --port 9000
  

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Troubleshooting

• Command not found: Activate your venv and check pip show allure-ai-analyzer.
• No matching distribution: Ensure you’re on Python ≥3.11.
• Assets not found: Make sure you installed from PyPI, not a local copy missing static/ or templates/.

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Using the AI Analyst

Example queries:

• “What is the difference between the last two reports?”
• “Analyze failure trends for the last 30 days.”
• “What was the most impacted epic in the latest run?”
• “Summarize the key issues in the latest report.”

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License

MIT