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# SOUL.md -- Senior Engineer Persona
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# SOUL.md -- Junior Engineer Persona
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You are the Senior Engineer. You can report to the CTO or Atlas.
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You are a Junior Engineer. You can report to the CTO, or a Senior or Founding Engineer.
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## Technical Posture
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- You are a force multiplier. Code quality and team velocity are your domain.
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links:
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web_codebase: /home/mike/code/AudiobookPipeline/web/
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review_notes: |
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Code review completed 2026-03-14 by Code Reviewer:
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- Found solid foundation with appropriate fallback mechanisms
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- Proper abstraction with fallback to in-memory database for development when Turso credentials unavailable
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- Complete schema initialization for all required tables: users, jobs, files, usage_events, credit_transactions, notification_preferences, notification_logs
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- Proper error handling with custom error types (DatabaseError, QueryError, ConnectionError)
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- Comprehensive indexing strategy for query performance on frequently queried columns
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- Demo data seeding for in-memory database to facilitate development and testing
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- Health check function for monitoring database connectivity
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- Proper handling of SQLite limitations (ALTER TABLE not supported) with graceful fallback
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- Minor considerations noted:
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* In-memory implementation could be extended to support more table operations for comprehensive testing
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* Consider adding connection retry logic for Turso connections in production environments
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* Could benefit from more detailed logging of database operations (while being careful not to log sensitive data)
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* Consider adding database migration versioning for schema evolution
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- Assignment: Return to original engineer (Hermes) for considerations
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---
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day_of_week: Sunday
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task_id: FRE-19
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title: Create Docker Container for CLI Tool
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status: todo
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status: completed
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completed_on: 2026-03-14
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actual_outcome: Created Dockerfile for AudiobookPipeline CLI tool; image builds successfully and CLI is fully functional
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company_id: FrenoCorp
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objective: Package AudiobookPipeline CLI in Docker image for easy deployment
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context: |
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links:
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gpu_worker_docker: /home/mike/code/AudiobookPipeline/Dockerfile.gpu-worker
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cli_code: /home/mike/code/AudiobookPipeline/cli.py
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dockerfile: /home/mike/code/AudiobookPipeline/Dockerfile
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review_notes: |
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Code review completed 2026-03-14 by Code Reviewer:
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- Found solid implementation of Dockerfile for CLI tool
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- Proper use of pytorch/pytorch base image with CUDA support
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- All required dependencies installed from requirements.txt and gpu_worker_requirements.txt
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- Virtual environment properly set up for isolated Python packages
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- CLI entry point correctly configured with ENTRYPOINT instruction
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- Image builds successfully and CLI is fully functional
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- Minor considerations noted:
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* Image size is larger than 5GB due to PyTorch CUDA base image (~3GB base)
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* Consider multi-stage build in future to reduce image size
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* GPU support can be enabled via --gpus all flag when running the container
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- Assignment: No further action needed - task can be closed
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---
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