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FAC CLI Implementation Roadmap

Phase 1: Foundation Setup

Task 1.1: Project Infrastructure

  • T1.1.1 - Create project directory structure (commands/, sources/, tests/)
  • T1.1.2 - Set up requirements.txt with dependencies (requests, tabulate, python-dotenv, pytest, black, flake8, mypy)
  • T1.1.3 - Create .env.example template for Airtable credentials
  • T1.1.4 - Add .env to .gitignore for security
  • T1.1.5 - Set up basic pytest configuration

Acceptance Criteria: Project structure matches design.md, dependencies installed, environment configured

Task 1.2: Configuration Management

  • T1.2.1 - Create config.py module for environment variable handling
  • T1.2.2 - Implement secure credential loading with python-dotenv
  • T1.2.3 - Add validation for required environment variables
  • T1.2.4 - Create configuration error handling
  • T1.2.5 - Write tests for configuration module

Acceptance Criteria: Configuration module securely loads credentials and validates setup

Task 1.3: Core CLI Router (fac.py)

  • T1.3.1 - Implement parse() function for command line argument extraction
  • T1.3.2 - Create route() function for command dispatching
  • T1.3.3 - Add dispatch() function to invoke command handlers
  • T1.3.4 - Implement help and error messages for invalid commands
  • T1.3.5 - Add executable shebang and proper error handling

Acceptance Criteria: ./fac.py --help works, unknown commands show helpful errors, routing infrastructure complete

Phase 2: Data Source Implementation

Task 2.1: Airtable Integration (sources/airtable.py)

  • T2.1.1 - Implement auth() function to create authentication headers
  • T2.1.2 - Create request() function for HTTP API calls with timeout handling
  • T2.1.3 - Implement get() function to fetch data from Airtable view URL
  • T2.1.4 - Add proper error handling for network failures and API errors
  • T2.1.5 - Write comprehensive tests with mocked HTTP responses

Acceptance Criteria: Airtable module successfully fetches data with proper error handling

Task 2.2: Display Module (display.py)

  • T2.2.1 - Implement format() function to prepare data for terminal display
  • T2.2.2 - Create table() function using tabulate library for formatted output
  • T2.2.3 - Add print() function for consistent terminal output
  • T2.2.4 - Handle terminal width constraints and data truncation
  • T2.2.5 - Write tests for formatting functions with various data types

Acceptance Criteria: Display module renders data in readable table format with proper error handling

Task 2.3: Gateway Recent Command (commands/gr.py)

  • T2.3.1 - Implement fetch() function calling airtable.get() with configured URL
  • T2.3.2 - Create process() function to transform raw data with custom headers
  • T2.3.3 - Add display() function calling display.table() with processed data
  • T2.3.4 - Implement run() function orchestrating fetch → process → display pipeline
  • T2.3.5 - Write integration tests for complete command workflow

Acceptance Criteria: ./fac.py gr successfully fetches, processes, and displays Airtable data

Phase 3: Testing & Quality Assurance

Task 3.1: Comprehensive Testing Suite

  • T3.1.1 - Write unit tests for all modules (fac.py, config.py, airtable.py, display.py, gr.py)
  • T3.1.2 - Create integration tests for complete command workflows
  • T3.1.3 - Add error scenario tests (network failures, invalid credentials, malformed data)
  • T3.1.4 - Implement test fixtures and mocking for external API calls
  • T3.1.5 - Set up test coverage reporting and achieve 90%+ coverage

Acceptance Criteria: All tests pass, coverage above 90%, error scenarios handled

Task 3.2: Code Quality & Documentation

  • T3.2.1 - Run black formatter on all Python files
  • T3.2.2 - Fix all flake8 linting issues
  • T3.2.3 - Add type hints and pass mypy type checking
  • T3.2.4 - Update README.md with usage instructions and setup guide
  • T3.2.5 - Add inline documentation for all public functions

Acceptance Criteria: Code passes all quality checks, documentation is complete and accurate

Task 3.3: User Experience & Error Handling

  • T3.3.1 - Implement clear, actionable error messages for all failure scenarios
  • T3.3.2 - Add help command and usage information
  • T3.3.3 - Test CLI with real Airtable data and various edge cases
  • T3.3.4 - Validate terminal output formatting across different screen sizes
  • T3.3.5 - Create setup documentation and troubleshooting guide

Acceptance Criteria: CLI provides excellent user experience with clear feedback and help

Phase 4: Extensibility & Future Commands

Task 4.1: Architecture Validation

  • T4.1.1 - Validate clean separation between routing, fetching, processing, display
  • T4.1.2 - Test extensibility by planning a second command (e.g., student list)
  • T4.1.3 - Refactor any tightly coupled components
  • T4.1.4 - Document patterns for adding new commands and data sources
  • T4.1.5 - Create command and data source templates for future development

Acceptance Criteria: Architecture supports easy extension, patterns documented for future commands

Task 4.2: Security & Credential Validation

  • T4.2.1 - Run security scan using Kiro hooks (.kiro/hooks/security-scanner.sh)
  • T4.2.2 - Verify no credentials are committed to repository
  • T4.2.3 - Test error handling for invalid/missing credentials
  • T4.2.4 - Validate HTTPS-only communication with Airtable
  • T4.2.5 - Document secure setup and credential management

Acceptance Criteria: Security requirements validated, credentials handled securely

Task 4.3: Performance & Reliability

  • T4.3.1 - Test CLI response times under various network conditions
  • T4.3.2 - Validate error handling for API rate limits and timeouts
  • T4.3.3 - Test with large datasets (>100 records) from Airtable
  • T4.3.4 - Optimize startup time and memory usage
  • T4.3.5 - Document performance characteristics and limitations

Acceptance Criteria: CLI meets performance requirements (< 2 seconds) and handles errors gracefully

Phase 5: Completion & Handover

Task 5.1: Final Integration & Validation

  • T5.1.1 - End-to-end testing with real Airtable data and credentials
  • T5.1.2 - Validate all acceptance criteria from requirements.md
  • T5.1.3 - Test installation and setup process from scratch
  • T5.1.4 - Verify all error scenarios provide helpful feedback
  • T5.1.5 - Final code review and cleanup

Acceptance Criteria: FAC CLI fully functional with gateway recent command working end-to-end

Task 5.2: Documentation & Usage Guide

  • T5.2.1 - Complete README.md with setup, usage, and troubleshooting
  • T5.2.2 - Document the process for adding new commands
  • T5.2.3 - Create .env.example with clear instructions
  • T5.2.4 - Write inline code documentation for maintainability
  • T5.2.5 - Document Airtable API integration patterns

Acceptance Criteria: Complete documentation enables easy setup and extension

Task 5.3: Delivery & Next Steps Planning

  • T5.3.1 - Package CLI for easy installation and distribution
  • T5.3.2 - Create commit with conventional commit message
  • T5.3.3 - Prepare demo of ./fac.py gr command functionality
  • T5.3.4 - Document architecture patterns for second command
  • T5.3.5 - Plan next command implementation (student list, cohort data, etc.)

Acceptance Criteria: FAC CLI ready for use, foundation established for incremental expansion

Risk Mitigation Tasks

High Priority Risks

  • R1 - Test Airtable API integration early to validate assumptions
  • R2 - Create mock data and responses for testing without API dependency
  • R3 - Implement robust error handling for network and API failures
  • R4 - Use environment variables from day one to prevent credential leaks
  • R5 - Design modular architecture to minimize refactoring risk

Success Metrics Tracking

Development Metrics

  • ./fac.py gr executes successfully with real Airtable data
  • Test coverage above 90% for all modules
  • All functional requirements from requirements.md validated
  • Code passes black, flake8, and mypy quality checks
  • Command responds within 2 seconds under normal conditions

Quality Gates

  • Gate 1: Project structure and configuration complete (Phase 1)
  • Gate 2: Core modules implemented with tests (Phase 2)
  • Gate 3: Full testing and quality assurance (Phase 3)
  • Gate 4: Architecture validated for extensibility (Phase 4)
  • Gate 5: Documentation complete and CLI ready for use (Phase 5)

Extensibility Validation

  • Adding a new command takes less than 30 minutes
  • Adding a new data source requires minimal changes to existing code
  • Architecture patterns are documented and reusable
  • Functional programming principles maintained throughout

Notes

  • Incremental Development: Focus on getting ./fac.py gr working completely before adding new commands
  • Functional Programming: Maintain terse, single-word function names and pure functions throughout
  • Test-Driven Development: Write tests for each function as it's implemented
  • Separation of Concerns: Keep routing, fetching, processing, and display clearly separated
  • Configuration Security: Never commit .env files, always use environment variables for credentials
  • Architecture First: Validate extensibility patterns early to ensure easy addition of future commands

Implementation Order

  1. Start with Foundation (Phase 1): Get project structure and routing working
  2. Build Data Pipeline (Phase 2): Implement airtable → process → display flow
  3. Ensure Quality (Phase 3): Comprehensive testing and error handling
  4. Validate Architecture (Phase 4): Confirm extensibility for future commands
  5. Document & Deliver (Phase 5): Complete documentation and handover

Success Definition

The project is successful when:

  • ./fac.py gr fetches real Airtable data and displays it formatted in the terminal
  • The architecture clearly supports adding new commands in separate files
  • Code follows functional programming principles with terse naming
  • All error scenarios provide helpful feedback to users
  • Documentation enables easy setup and extension

This roadmap is specifically designed for FAC CLI with incremental, extensible command development. All tasks should be traceable back to requirements in requirements.md.