AI Analysis
Final verdict: SAFE
The package shows no signs of malicious activity and has minimal metadata risk due to the author's limited package history.
- No network, shell, obfuscation, or credential risks detected.
- Low metadata risk due to a single package from the author.
Per-check LLM notes
- Network: No network calls detected, which is normal for a package that does not require external API interactions.
- Shell: No shell execution patterns detected, which is expected as such operations are typically not part of a standard library or framework package.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author has only one package, which might indicate a new or less active account, but no other suspicious activities were flagged.
Package Quality Overall: Low (4.6/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
5.0
Some documentation present
Brief PyPI description (209 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
Classifier: Typing :: Typed
✦ High
Multiple Contributors
10.0
Active multi-contributor project
6 unique contributor(s) across 100 commits in awslabs/aws-solutions-constructsActive 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-dynamodbstreams-pipes-stepfunctions
Create a mini-application that leverages serverless architectures to process data changes in a DynamoDB table in real-time using AWS Step Functions orchestrated through Amazon EventBridge Pipes. Your application will monitor a specific DynamoDB table for any item updates and trigger a workflow defined in AWS Step Functions whenever such an update occurs.
### Application Requirements:
1. **Setup DynamoDB Table**: Initialize a DynamoDB table with a primary key 'id' and at least one additional attribute 'status'. This table will simulate a simple inventory management system where items have unique IDs and statuses.
2. **EventBridge Rule Configuration**: Configure an EventBridge rule that triggers on item updates in the DynamoDB table ('INSERT', 'MODIFY', 'REMOVE').
3. **Step Functions Workflow**: Design a Step Function state machine that processes the event data from DynamoDB. The workflow should include states to validate the incoming event, update another DynamoDB table with the new status, and log the operation in an S3 bucket.
4. **Error Handling and Retries**: Implement error handling within the Step Function to manage retries in case of transient failures.
5. **Monitoring and Logging**: Set up CloudWatch Logs to monitor the execution of the Step Function and troubleshoot any issues.
### Core Features:
- Real-time processing of DynamoDB stream events.
- Automated state transitions based on DynamoDB item changes.
- Enhanced visibility into the workflow execution with logging.
- Flexible error handling and retry mechanisms.
### Utilizing the Package:
- Use the `aws-solutions-constructs.aws-dynamodbstreams-pipes-stepfunctions` package to simplify the integration between DynamoDB Streams and AWS Step Functions via EventBridge Pipes. This will streamline the setup of your EventBridge rule, Step Function definition, and the connection between these services, allowing you to focus on defining the business logic within the Step Function.
### Deliverables:
Your final deliverable should include a complete CDK app written in Python, demonstrating the integration of the above components. Additionally, provide documentation outlining the steps required to deploy and test the application.
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