Local Lab Harness

Overview:

The local lab harness executes Amazon Rekognition detect_labels against S3 images in a controlled environment. It produces raw JSON outputs and summarized label results, enabling fast iteration and debugging before moving logic into production.

Prerequisites

• AWS credentials available locally
• Permissions for rekognition:DetectLabels and s3:GetObject
• Local module structure for rekognition_lab/
• Writable output directory for raw responses

Implementation/Steps

1. The system accepts S3 bucket and key inputs through a CLI interface.
2. The system initializes an AWS session using either a provided profile or default credentials.
3. The system sends the S3 image reference to Rekognition using detect_labels.
4. The system stores the full JSON response in a deterministic file path.
5. The system outputs a summary including source location, total labels, and top results sorted by confidence.

Key Takeaways

• The lab harness isolates development from production workflows.
• Raw responses are always preserved for debugging.
• Deterministic output supports repeatable testing.
• Summary output reflects sorted label confidence.