asyncpg-recorder

v0.10.4 safe
3.0
Low Risk

Automatically mock your Postgres interactions to simplify and speed up testing

🤖 AI Analysis

Final verdict: SAFE

The package shows low individual risks across all categories except metadata, where the maintainer's limited presence raises a minor concern. However, this alone does not conclusively point to malicious intent.

  • No network calls or shell executions detected.
  • Low obfuscation and credential risk.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network interactions for its functionality.
  • Shell: No shell execution patterns detected, indicating no risk of command injection or unauthorized system access.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has only one package, which may indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Low (4.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
  • Classifier: Framework :: Pytest
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/GIScience/asyncpg-recorder/blob/main/READ
  • Detailed PyPI description (2526 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 100 commits in GIScience/asyncpg-recorder
  • Small but multi-author team (3–4 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: heigit.org>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository GIScience/asyncpg-recorder appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "HeiGIT ohsome team" 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 asyncpg-recorder 
Develop a small, fully-functional mini-application that helps developers streamline their testing process by mocking PostgreSQL database interactions. This app will utilize the 'asyncpg-recorder' package to automatically record and replay database interactions, significantly simplifying and speeding up the testing phase of development.

### Project Overview:
- **Name**: MockDBTestTool
- **Purpose**: To provide an easy-to-use interface for recording real database interactions and then using those recordings to mock database calls during tests.
- **Technologies**: Python, asyncpg-recorder, FastAPI for the web interface, and PostgreSQL for the database.

### Core Features:
1. **Database Interaction Recording**: Users can specify which queries to record during normal operation. These recorded queries will include parameters and results.
2. **Mocking Mode**: After recording, users can switch to mocking mode where all database interactions are replaced with the previously recorded data, ensuring consistent test results without needing a live database connection.
3. **Web Interface**: A simple web-based UI to manage recordings, start/stop recording sessions, switch between recording and mocking modes, and view recorded queries.
4. **Integration Testing**: Provide examples on how to integrate MockDBTestTool into existing test suites for automated testing purposes.
5. **Configuration Management**: Allow users to configure settings such as database connection details, recording paths, etc., via a configuration file.

### How 'asyncpg-recorder' Is Utilized:
- **Recording**: Use asyncpg-recorder to intercept and log database interactions made through asyncpg during the recording phase.
- **Replaying**: During the mocking phase, asyncpg-recorder replays the recorded interactions instead of executing them against a live database, ensuring that tests are deterministic and repeatable.

### Steps to Develop:
1. **Setup Environment**: Install necessary packages including asyncpg, asyncpg-recorder, FastAPI, and psycopg2.
2. **Define Database Models**: Create models representing the structure of your test database.
3. **Implement Recording Logic**: Write code to start and stop recording sessions using asyncpg-recorder.
4. **Develop Mocking Mechanism**: Implement logic to switch to mocking mode, where asyncpg-recorder replays the recorded interactions.
5. **Build Web Interface**: Design a user-friendly web interface using FastAPI to control the recording and mocking processes.
6. **Testing Integration**: Demonstrate how to use MockDBTestTool within a typical test suite, showing its benefits in terms of speed and consistency.
7. **Documentation**: Prepare comprehensive documentation explaining how to install, configure, and use MockDBTestTool.

By completing this project, you'll gain hands-on experience with asyncpg-recorder, understand its capabilities in simplifying database testing, and create a valuable tool for any developer working with PostgreSQL databases.

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