aws-cdk.aws-dsql-alpha

v2.258.0a0 safe
2.0
Low Risk

The CDK Construct Library for AWS::DSQL

🤖 AI Analysis

Final verdict: SAFE

The package shows very low risk indicators with no network, shell, or obfuscation risks detected. The metadata risk is slightly elevated due to the author having only one package, but this alone is insufficient to warrant suspicion.

  • No network calls detected
  • No shell execution patterns
  • No credential harvesting patterns
  • Low metadata risk
Per-check LLM notes
  • Network: No network calls detected, which is normal for a package not requiring external communications.
  • Shell: No shell execution patterns detected, indicating no direct system command execution attempts.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of credential theft.
  • Metadata: The author has only one package, which may indicate a new or less active account but does not strongly suggest malicious intent.

📦 Package Quality Overall: Medium (5.4/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (1870 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 23 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 32 unique contributor(s) across 100 commits in aws/aws-cdk
  • 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

No author email provided

Suspicious Page Links

All external links appear legitimate

Git Repository History

Repository aws/aws-cdk appears legitimate

Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Amazon Web Services" 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 aws-cdk.aws-dsql-alpha
Create a mini-application that leverages Amazon DSQL (Data SQL) through the AWS CDK Construct Library 'aws-cdk.aws-dsql-alpha' to manage and execute SQL queries on AWS Glue Data Catalog tables. This application will serve as a bridge between developers and data analysts who need to interact with their datasets stored in various AWS services like S3, RDS, Redshift, etc., via the AWS Glue Data Catalog. The application should include the following features:

1. **Project Setup**: Initialize a new AWS CDK project and install the required dependencies, including 'aws-cdk.aws-dsql-alpha'.
2. **Database Connection**: Use the AWS CDK constructs to define a connection to the AWS Glue Data Catalog.
3. **Query Execution**: Implement functionality to write, submit, and execute SQL queries against the cataloged tables. Queries should be parameterized to accept user input.
4. **Result Handling**: Display query results in a readable format and provide options to export results to CSV or JSON files.
5. **Error Handling**: Ensure robust error handling mechanisms are in place to catch and report errors effectively.
6. **Security**: Integrate IAM roles and policies to ensure secure access to the AWS Glue Data Catalog and other resources accessed by the application.
7. **User Interface**: Develop a simple command-line interface (CLI) for users to interact with the application, allowing them to write queries, view results, and manage connections.
8. **Documentation**: Provide comprehensive documentation detailing how to set up the project, use the CLI, and troubleshoot common issues.

Throughout the development process, utilize the 'aws-cdk.aws-dsql-alpha' package to its fullest extent, exploring its capabilities in managing and executing SQL queries on AWS Glue Data Catalog tables. This project aims to streamline the interaction between developers/data analysts and their data stored across different AWS services.

💬 Discussion Feed

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