AI Analysis
The package exhibits low risks across multiple categories, with only a slightly elevated metadata risk due to potential maintenance issues. There is no indication of a supply-chain attack.
- Low network, shell, obfuscation, and credential risks.
- Moderate metadata risk due to potential lack of transparency and maintenance.
Per-check LLM notes
- Network: The observed network patterns are typical for an HTTP server testing tool that uses aiohttp for making GET and POST requests.
- Shell: No shell execution patterns detected, indicating no immediate risk from shell command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows some signs of low maintenance and potential lack of transparency, but there's no clear evidence of malicious intent.
Package Quality Overall: Low (4.6/10)
Test suite present β 15 test file(s) found
Test runner config found: pyproject.toml15 test file(s) detected (e.g. conftest.py)
Some documentation present
Detailed PyPI description (15827 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
315 type-annotated function signatures detected in source
Single-author or unverifiable project
1 unique contributor(s) across 16 commits in krylosov-aa/async-pytest-httpserverSingle author with few commits β possibly a personal or throwaway project
Heuristic Checks
Found 3 network call pattern(s)
async with ( aiohttp.ClientSession() as session, session.get( f"{seasync with ( aiohttp.ClientSession() as session, session.post( f"{sasync with ( aiohttp.ClientSession() as session, session.get( f"{co
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
Found 2 suspicious link(s) on the package page
Non-HTTPS external link: http://127.0.0.1:54321/`.Non-HTTPS external link: http://127.0.0.1:54321/api/users/42
Repository krylosov-aa/async-pytest-httpserver appears legitimate
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a fully-functional mini-application that serves as a simple web proxy, which forwards requests to another server and logs the responses. This application will utilize the 'async-pytest-httpserver' package to set up a mock HTTP server for testing purposes. Hereβs a step-by-step guide on how to build this application: 1. **Setup**: Install the necessary packages including 'aiohttp', 'pytest', and 'async-pytest-httpserver'. Ensure you have Python 3.7 or higher installed. 2. **Application Development**: - Develop the main application that listens for incoming HTTP requests, forwards them to a specified target URL, and returns the response back to the client. - Implement logging functionality to log each request and its corresponding response status code. 3. **Testing**: - Use 'async-pytest-httpserver' to create a mock server that mimics the behavior of the target server. - Write test cases to verify that your application correctly forwards requests and handles responses from the mock server. 4. **Features**: - Support for both GET and POST methods. - Logging of all requests and their responses. - Configurable target server URL. 5. **Integration with 'async-pytest-httpserver'**: - Configure the mock server to return predefined responses based on specific request patterns, allowing for thorough testing of error handling and edge cases. - Use asynchronous testing capabilities provided by 'async-pytest-httpserver' to simulate network delays and other conditions. 6. **Deployment Considerations**: - Ensure your application is deployable using a standard Python runtime environment. - Provide documentation on how to configure the application for different environments (development, staging, production). Your goal is to demonstrate a practical use case for 'async-pytest-httpserver' while building a useful tool that could be applied in real-world scenarios such as load testing or debugging.
π¬ Discussion Feed
No discussion yet. Be the first to share your thoughts!
Report Abuse / Security Issue