[2/4] Add AWS Batch worker for distributed task execution#76
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Implements the batch worker that runs inside AWS Batch containers to process individual ARC benchmark tasks. Integrates with the AWS infrastructure layer from PR 1/3. Core components: - BatchWorkerConfig: Loads configuration from environment variables (RUN_ID, TASK_ID, CONFIG_NAME, S3_BUCKET, DYNAMODB_* table names) - BatchWorker: Main orchestration class with lazy-loaded S3, DynamoDB, and rate limiter connections - GracefulShutdown: Signal handler for clean container termination Workflow: 1. Claim task atomically via DynamoDB conditional update 2. Load task data from S3 3. Execute test pairs with distributed rate limiting 4. Save submission to S3 5. Mark task completed/failed in DynamoDB Also includes: - Dockerfile for building the batch worker container image - AWS deployment artifacts (job definition, IAM policies, DynamoDB schemas) - Comprehensive test suite using moto for AWS mocking - CLI entry point: arc-batch-worker
- Add test script that sets up DynamoDB tables, S3 bucket, and task records in LocalStack, then runs the batch worker against it - Update aws/README.md with LocalStack testing instructions
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Summary
Implements the AWS Batch worker that runs inside containers to process individual ARC benchmark tasks. This is PR 2/3 in the AWS integration series, building on the infrastructure layer from PR #74.
Core components:
BatchWorkerConfig: Loads configuration from environment variables (RUN_ID, TASK_ID, CONFIG_NAME, S3_BUCKET, DYNAMODB_* table names)BatchWorker: Main orchestration class with lazy-loaded S3, DynamoDB, and rate limiter connectionsGracefulShutdown: Signal handler for clean container terminationWorkflow:
Also includes:
Dockerfilefor building the batch worker container imageaws/directory (job definition, IAM policies, DynamoDB schemas)arc-batch-workerDependencies
infra-live-sandbox-teal(add-batch-module branch updated to pass DynamoDB table names)Test plan