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FailTrace

Leveraging Large Language Models for Automated Test Results Analysis

PyPI version
Python Version


🌍 Overview

FailTrace helps developers and QA engineers analyze automated test results with Large Language Models (LLMs).
It builds dependency graphs, maps them with test execution logs, and generates interactive HTML reports with insights into failures.


✨ Features

  • Supports Python, Java, C#
  • Dependency graph visualization (PyVis + NetworkX)
  • Test log parsing (Pytest, JSON, TRX, …)
  • Interactive reports (HTML + CSS + JS)
  • Dry-run mode (no API calls)
  • CLI-first design for CI/CD

📦 Installation

pip install failtrace

⚡ Quickstart

Run the full pipeline:

python -m failtrace full -p ./your-source-code -l ./your-test-results.xml --open-report

Run in quick mode (reuse cached graph):

failtrace quick -p ./src -l ./results.json

📜 License

Licensed under the MIT License.


👩‍💻 Author

Mohadese Akhoondy

Metadata

Release files for failtrace 0.7.3

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Source distribution for failtrace 0.7.3
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Table of built distributions (wheels) for failtrace 0.7.3
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failtrace-0.7.3-py3-none-any.whl Python 3 none any Details

Total release size: 132.1 kB

Release files / failtrace-0.7.3.tar.gz

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0.7.3 This release

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