aws-solutions-constructs.aws-lambda-textract

v2.102.0 safe
2.0
Low Risk

CDK constructs for defining an interaction between an AWS Lambda function and Amazon Textract with optional S3 buckets.

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no network calls, shell executions, obfuscations, or credential harvesting patterns. The metadata risk is slightly elevated due to the author's single package history, but this alone does not suggest a supply-chain attack.

  • No network calls
  • No shell execution
  • No obfuscation
  • No credential harvesting
  • Low metadata risk
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external API interactions.
  • Shell: No shell execution patterns detected, indicating the package likely does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
  • Metadata: The author has only one package, which may indicate a new or less active account, but no other red flags are present.

📦 Package Quality Overall: Medium (5.0/10)

○ 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 (1350 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 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • Type checker (mypy / pyright / pytype) referenced in project
✦ 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-textract 
Develop a document processing mini-application that leverages the 'aws-solutions-constructs.aws-lambda-textract' package to extract text and data from uploaded PDF documents. The application should allow users to upload a PDF file, which will then be processed by an AWS Lambda function integrated with Amazon Textract. The Lambda function will extract text and any tabular data from the document. After processing, the application should display the extracted text and data in a user-friendly format.

### Core Features:
1. **User Interface**: A simple web interface where users can upload their PDF files.
2. **PDF Upload**: Allow users to select and upload a PDF file.
3. **Processing**: Use AWS Lambda and Amazon Textract to process the uploaded PDF and extract text and data.
4. **Display Results**: Show the extracted text and any tabular data in a readable format on the web interface.
5. **Error Handling**: Provide meaningful error messages if there are issues with the upload or processing.

### Utilizing 'aws-solutions-constructs.aws-lambda-textract':
- **Setup Constructs**: Use the 'aws-solutions-constructs.aws-lambda-textract' package to define the interaction between your AWS Lambda function and Amazon Textract. This will handle the integration of these services seamlessly.
- **Lambda Function Configuration**: Configure the Lambda function to trigger when a new file is uploaded to an S3 bucket.
- **Textract Integration**: Set up the Lambda function to use Amazon Textract to analyze the PDF content and extract text and data.
- **S3 Bucket Management**: Optionally, manage input and output S3 buckets using the constructs provided by 'aws-solutions-constructs.aws-lambda-textract'. This allows storing the original PDF and the processed results.

### Additional Suggestions:
- Implement a feature to highlight specific sections of text within the original PDF document based on keywords provided by the user.
- Add support for multiple file uploads and batch processing.
- Integrate with Amazon SNS or another service to notify users once the document has been processed.
- Consider adding a feature to save the processed data into a database for future reference.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!