| Name | failtrace JSON |
| Version |
0.7.1
JSON |
| download |
| home_page | None |
| Summary | Leveraging Large Language Models for Automated Test Results Analysis |
| upload_time | 2025-09-01 11:51:27 |
| maintainer | None |
| docs_url | None |
| author | Mohadese Akhoondy |
| requires_python | >=3.12 |
| license | MIT |
| keywords |
cli
testing
llm
analysis
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# FailTrace
**Leveraging Large Language Models for Automated Test Results Analysis**
[](https://pypi.org/project/failtrace/)
[](https://www.python.org/)
---
## 🌍 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
```bash
pip install failtrace
````
---
## ⚡ Quickstart
Run the **full pipeline**:
```bash
python -m failtrace full -p ./your-source-code -l ./your-test-results.xml --open-report
```
Run in **quick mode** (reuse cached graph):
```bash
failtrace quick -p ./src -l ./results.json
```
---
## 📜 License
Licensed under the [MIT License](https://opensource.org/licenses/MIT).
---
## 👩💻 Author
[**Mohadese Akhoondy**](mailto:m.akhoondy1381@gmail.com)
```
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