aws-solutions-constructs.aws-lambda-polly

v2.102.0 safe
2.0
Low Risk

CDK constructs for defining an interaction between an AWS Lambda function and Amazon Polly text-to-speech service with optional S3 buckets and SNS topics.

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity and has minimal metadata risks due to the author's limited presence in the repository.

  • No network calls or shell executions detected.
  • Author has only one package, indicating potential newness or less activity.
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communication.
  • Shell: No shell execution patterns detected, indicating no direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting no risk of unauthorized credential access.
  • Metadata: The author has only one package, which may indicate a new or less active account, but no other suspicious flags are present.

📦 Package Quality Overall: Low (3.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ 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

  • Classifier: Typing :: Typed
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 6 unique contributor(s) across 100 commits in awslabs/aws-solutions-constructs
  • 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 awslabs/aws-solutions-constructs 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-solutions-constructs.aws-lambda-polly 
Create a voice message generator application using Python and the 'aws-solutions-constructs.aws-lambda-polly' package. This application will allow users to input text via a web interface and receive an audio file of their text read aloud. The application will utilize AWS Lambda functions to process the user inputs, Amazon Polly for converting text into speech, and optionally store the generated audio files in an S3 bucket. Additionally, the application should notify users via an email when their audio file is ready through an SNS topic. Here are the steps and features your project should include:

1. **Setup AWS Environment**: Set up an AWS environment with necessary services such as Lambda, Polly, S3 (optional), and SNS.
2. **Web Interface**: Develop a simple web interface where users can enter their text and submit it for conversion.
3. **Lambda Function Integration**: Use the 'aws-solutions-constructs.aws-lambda-polly' package to define the interaction between your Lambda function and Amazon Polly. Ensure the Lambda function triggers Polly to convert the submitted text into speech.
4. **S3 Bucket Option**: Optionally configure the application to save the generated audio files in an S3 bucket.
5. **Email Notification**: Implement an SNS topic to send an email notification to users once their audio file is ready.
6. **Security Measures**: Incorporate basic security measures such as validation of user inputs and proper handling of AWS credentials.
7. **User Interface Enhancements**: Consider adding features like different voices options from Polly, text formatting options, and a preview of the generated audio.
8. **Testing**: Thoroughly test the application with various types of texts and ensure all components work seamlessly together.

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