aiotrace

v0.1.1 safe
4.0
Medium Risk

OpenTelemetry-native async context propagation for asyncio

🤖 AI Analysis

Final verdict: SAFE

The package aiotrace v0.1.1 is assessed as safe with a moderate metadata risk due to its new or less active status. No obfuscation or credential risks were identified.

  • Low obfuscation risk
  • No credential harvesting patterns
  • Moderate metadata risk due to project activity level
Per-check LLM notes
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package has no suspicious links or typosquatting attempts, but the maintainer history and git repository flags suggest it may be a new or less active project.

📦 Package Quality Overall: Low (4.4/10)

✦ High Test Suite 9.0

Test suite present — 4 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • 4 test file(s) detected (e.g. conftest.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (4997 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

  • 17 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 2.0

1 maintainer concern(s) found

  • Author "aiotrace contributors" 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 aiotrace 
Develop a simple asynchronous web scraper that leverages the 'aiotrace' library to monitor and trace the execution of HTTP requests across multiple coroutines. This tool will fetch data from various websites concurrently and provide detailed insights into the performance and behavior of each request using OpenTelemetry-native context propagation.

Step 1: Setup the Project
- Initialize a new Python virtual environment.
- Install necessary packages including aiohttp for making HTTP requests and aiotrace for tracing.

Step 2: Design the Web Scraper
- Create a list of URLs from which you will scrape data.
- Implement a function that takes a URL as input and returns the HTML content asynchronously.

Step 3: Integrate aiotrace
- Use aiotrace to start a tracer that can propagate context across asynchronous calls.
- Decorate your HTTP request functions with appropriate decorators to ensure they are traced.

Step 4: Enhance Functionality
- Add error handling to gracefully manage failed requests.
- Implement rate limiting to avoid overwhelming target servers.

Step 5: Analyze Traces
- Utilize OpenTelemetry to export traces to a backend like Jaeger or Prometheus for analysis.
- Visualize the traces to understand the latency and flow of requests.

Suggested Features:
- Support for scraping multiple pages in parallel.
- Detailed logging of each request's duration and status code.
- Configuration options to adjust concurrency level and scraping intervals.
- Exporting collected data to CSV or JSON files for further processing.

💬 Discussion Feed

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