apmt-reports

v0.1.3 safe
4.0
Medium Risk

A premium, feature-rich, and beautiful automated testing HTML reporter for pytest, python, and playwright.

🤖 AI Analysis

Final verdict: SAFE

The package shows very low risks across all technical checks with no signs of malicious behavior or obfuscation. However, the lack of an associated GitHub repository and sparse author details slightly increase the metadata risk.

  • No network calls detected
  • No shell execution patterns
  • Sparse author details and no GitHub repo
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access to function properly.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package has no associated GitHub repository and the author details are sparse, indicating potential unreliability.

📦 Package Quality Overall: Low (3.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Classifier: Framework :: Pytest
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (4603 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 13 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with apmt-reports 
Create a mini-application named 'TestSuiteVisualizer' that leverages the 'apmt-reports' package to generate visually appealing HTML reports from test suites executed using pytest. This application should serve as a comprehensive tool for developers to not only run their tests but also to visualize the results in a beautifully formatted HTML report. Here are the steps and features your application should include:

1. **Setup Environment**: Ensure the application environment is set up with Python, pytest, and apmt-reports installed.
2. **Integration with pytest**: Develop a script that integrates pytest into the application, allowing users to define and run test cases.
3. **Customizable Test Suite Configuration**: Allow users to configure their test suite settings such as including/excluding certain tests, setting up fixtures, and specifying which plugins to use.
4. **Generate Reports**: After running the test suite, automatically generate an HTML report using apmt-reports. This report should include details like test case names, outcomes (pass/fail), durations, and any associated error messages.
5. **Visualization Enhancements**: Utilize apmt-reports' features to enhance the visual appeal of the report, including customizable themes, charts to display pass/fail rates, and interactive elements.
6. **Export Functionality**: Provide an option to export the generated HTML report as a PDF or another format for sharing or archiving purposes.
7. **User Interface**: Develop a simple web-based user interface where users can input their test configurations, trigger test runs, and view the generated reports directly within the browser.

The goal of 'TestSuiteVisualizer' is to streamline the process of executing and reviewing test suites, making it easier for developers to ensure their code meets quality standards through a more engaging and informative reporting experience.

💬 Discussion Feed

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