paper-dynasty-card-creation/.claude/plans/phase1-week1-day1-plan.md
2025-07-22 09:24:34 -05:00

4.1 KiB

Phase 1, Week 1, Day 1: Greenfield Project Kickoff Plan

Morning Session (9:00 AM - 12:00 PM)

Hour 1: Project Setup & Repository Creation (9:00-10:00 AM)

  1. Create new repository structure
    • Initialize card-creation-v2/ directory alongside existing project
    • Set up git repository with initial commit
    • Create directory structure matching architecture plan:
      card-creation-v2/
      ├── src/
      │   ├── domain/
      │   ├── data/
      │   ├── services/
      │   ├── infrastructure/
      │   └── cli/
      ├── tests/
      ├── docs/
      └── scripts/
      

Hour 2: Development Environment Setup (10:00-11:00 AM)

  1. Initialize Python project with Poetry

    • Create pyproject.toml with project metadata and dependencies
    • Set up virtual environment with Python 3.11+
    • Install core dependencies: polars, pydantic, typer, pytest, mypy
  2. Configure development tools

    • Set up pre-commit hooks (black, ruff, mypy, pytest)
    • Create .gitignore for Python projects
    • Configure IDE settings (if using VS Code: create .vscode/settings.json)

Hour 3: CI/CD Pipeline & Quality Gates (11:00-12:00 PM)

  1. GitHub Actions setup
    • Create .github/workflows/ci.yml for automated testing
    • Configure matrix builds for Python 3.11, 3.12
    • Set up code quality checks (linting, type checking, test coverage)

Afternoon Session (1:00 PM - 5:00 PM)

Hour 4: Core Infrastructure Foundation (1:00-2:00 PM)

  1. Configuration management system
    • Create src/infrastructure/config/ module
    • Implement environment-based configuration with Pydantic
    • Set up logging framework with structured JSON output

Hour 5: Domain Model Foundation (2:00-3:00 PM)

  1. Base domain types
    • Create src/domain/models/ with core data classes:
      • Player, Team, Position, Hand enums
      • PlayerId, TeamId type aliases for type safety
    • Implement value objects for baseball statistics

Hour 6: Testing Framework Setup (3:00-4:00 PM)

  1. Test infrastructure
    • Set up pytest configuration with coverage reporting
    • Create test fixtures for sample data
    • Implement property-based testing setup with Hypothesis
    • Write first domain model tests

Hour 7: Documentation & Planning (4:00-5:00 PM)

  1. Project documentation
    • Create README.md with setup instructions
    • Document architectural decisions in docs/architecture/
    • Set up API documentation framework (Sphinx or MkDocs)
    • Plan next day's tasks and blockers

Specific Files Created on Day 1

Core Project Files

  • pyproject.toml - Project dependencies and metadata
  • .pre-commit-config.yaml - Code quality automation
  • .github/workflows/ci.yml - Continuous integration
  • README.md - Project documentation
  • src/infrastructure/config/settings.py - Configuration management

Domain Models (Starter Set)

  • src/domain/models/__init__.py
  • src/domain/models/player.py - Player data class
  • src/domain/models/enums.py - Position, Hand, Team enums
  • src/domain/models/types.py - Type aliases and value objects

Test Foundation

  • tests/conftest.py - Pytest configuration and fixtures
  • tests/domain/test_player.py - First domain model tests
  • tests/infrastructure/test_config.py - Configuration tests

Success Criteria for Day 1

New repository created with clean architecture Development environment fully configured CI/CD pipeline running and passing First domain models implemented with tests Code quality tools enforced Team can clone repo and run tests successfully

Dependencies & Prerequisites

  • Python 3.11+ installed
  • Git access to create new repository
  • GitHub account for CI/CD setup
  • IDE configured for Python development

Risks & Mitigations

  • Risk: Tool configuration conflicts Mitigation: Use Poetry for dependency isolation
  • Risk: Team environment differences
    Mitigation: Containerized development option in Week 2

This Day 1 plan establishes the foundation for a high-quality, maintainable greenfield rebuild while ensuring the team can immediately start productive development.