asgi-correlation-id

v5.0.0 safe
1.0
Low Risk

Middleware correlating project logs to individual requests

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activities or potential risks based on the analysis notes provided.

  • No network calls detected
  • No shell execution patterns detected
Per-check LLM notes
  • Network: No network calls detected, which is normal and expected.
  • Shell: No shell execution patterns detected, indicating no unexpected system command execution.
  • Obfuscation: No obfuscation patterns detected, suggesting no risk of malicious code.
  • Credentials: No credential harvesting patterns detected, indicating safe handling of sensitive information.

📦 Package Quality Overall: Medium (6.6/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (21365 chars)
◈ Medium Contributing Guide 7.0

Some contribution signals present

  • Separate author ("Sondre Lillebø Gundersen") and maintainer ("Jonas Krüger Svensson") listed
  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 5 type-annotated function signatures (partial)
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 12 unique contributor(s) across 100 commits in snok/asgi-correlation-id
  • Active community — 5 or more distinct contributors

🔬 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

Email domain looks legitimate: live.no>

Suspicious Page Links

All external links appear legitimate

Git Repository History

Repository snok/asgi-correlation-id appears legitimate

Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Sondre Lillebø Gundersen" 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 asgi-correlation-id
Create a simple web application using FastAPI that integrates the 'asgi-correlation-id' middleware to enhance logging for each request. This application will serve as a basic API for managing a collection of books, including adding, updating, deleting, and retrieving book information. The goal is to demonstrate how the 'asgi-correlation-id' package can help correlate logs with specific user requests, making it easier to trace issues or performance bottlenecks.

### Steps:
1. **Set Up the Environment**: Start by setting up a virtual environment and installing necessary packages such as FastAPI, Uvicorn, and 'asgi-correlation-id'.
2. **Define Book Models**: Create a simple data model for books which includes fields like title, author, publication year, etc.
3. **Implement CRUD Operations**: Develop endpoints for creating, reading, updating, and deleting books.
4. **Integrate 'asgi-correlation-id'**: Use the 'asgi-correlation-id' middleware to generate a unique correlation ID for each incoming request. Ensure this ID is included in every log message related to that request.
5. **Logging Configuration**: Configure logging to include the correlation ID in all log entries. This will help in tracing the lifecycle of each request from start to finish.
6. **Testing**: Write tests to ensure that the correlation IDs are correctly being generated and logged for each operation.
7. **Deployment Considerations**: Discuss how you would deploy this application, ensuring that the logging setup works seamlessly in a production environment.

### Suggested Features:
- Implement rate limiting on certain operations to prevent abuse.
- Add authentication mechanisms to secure the API.
- Enhance logging to include more details such as request duration, response status codes, etc., all correlated with the request's unique ID.
- Provide a way to filter and search through logs based on correlation IDs.

### How 'asgi-correlation-id' is Utilized:
- The 'asgi-correlation-id' middleware is added to the FastAPI application to automatically assign a unique ID to each incoming request.
- This ID is then propagated through all layers of the application where logging occurs, ensuring that every log entry related to a particular request contains this identifier.
- By doing so, developers and operators can easily trace back any issue or performance anomaly to its originating request, improving debugging and monitoring capabilities.

💬 Discussion Feed

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