Successfully implemented the ProjectScaffolder system for automated project structure generation with intelligent project type detection, directory structure creation, configuration file generation, Git initialization, and dependency installation.
Key Features:
- Project Type Detection: Intelligent detection from natural language descriptions using regex patterns
- Directory Structure Generation: Automated creation of project-specific folder hierarchies
- Configuration File Creation: Template-based generation of config files (package.json, requirements.txt, etc.)
- Git Integration: Repository initialization with .gitignore generation and initial commits
- Dependency Installation: Package manager detection and automated dependency installation
Supported Project Types:
- Python: FastAPI, Django, Flask, CLI, Generic
- JavaScript: React, Next.js, Express, Vue, Generic
- TypeScript: React, Next.js, Express, Generic
- Go: CLI, Web, gRPC, Generic
- Rust: CLI, Web, Library, Generic
Supported Package Managers:
- Python: pip, poetry, pipenv
- JavaScript/TypeScript: npm, yarn, pnpm
- Go: go modules
- Rust: cargo
Defines all supported project types with clear naming conventions.
Represents different package management systems.
@dataclass
class DirectoryStructure:
directories: List[Path]
files: Dict[Path, str] # Path -> content@dataclass
class ProjectConfig:
name: str
project_type: ProjectType
description: str
author: str
version: str
license: str
python_version: str
node_version: str
dependencies: List[str]
dev_dependencies: List[str]@dataclass
class Project:
name: str
path: Path
project_type: ProjectType
config: ProjectConfig
structure: DirectoryStructure
git_initialized: bool
dependencies_installed: bool@dataclass
class InstallResult:
success: bool
package_manager: PackageManager
installed_packages: List[str]
failed_packages: List[str]
output: str
error_message: Optional[str]def detect_project_type(self, description: str) -> ProjectType- Uses regex patterns to match project descriptions
- Scores each project type based on pattern matches
- Falls back to generic types based on language keywords
def generate_structure(self, project_type: ProjectType, name: str) -> DirectoryStructure- Creates directory hierarchy based on project type
- Generates configuration files from templates
- Returns complete DirectoryStructure object
def create_project(
self,
project_type: str,
name: str,
options: Optional[Dict[str, Any]] = None
) -> Project- Creates complete project structure
- Generates all necessary files
- Returns Project object with metadata
def initialize_git(self, project_path: Path, create_initial_commit: bool = True) -> bool
def generate_gitignore(self, project_type: ProjectType, project_path: Path) -> bool- Initializes git repository
- Generates project-type-specific .gitignore
- Creates initial commit with all files
def detect_package_manager(self, project_path: Path, project_type: ProjectType) -> PackageManager
def install_dependencies(
self,
project_path: Path,
package_manager: Optional[PackageManager] = None,
project_type: Optional[ProjectType] = None,
progress_callback: Optional[Callable[[str], None]] = None
) -> InstallResult- Detects appropriate package manager
- Installs dependencies with approval workflow
- Provides progress callbacks
- Returns detailed installation results
def create_project_with_git_and_deps(
self,
project_type: str,
name: str,
options: Optional[Dict[str, Any]] = None,
initialize_git: bool = True,
install_deps: bool = True,
progress_callback: Optional[Callable[[str], None]] = None
) -> Project- Combines all features into one method
- Creates project, initializes git, installs dependencies
- Provides progress updates via callback
The scaffolder includes comprehensive template generators for:
- FastAPI: REST API with async support, CORS, health endpoints
- Flask: Web application with blueprints, templates
- Django: Full-stack framework with apps, static files
- CLI: Click-based command-line tools
- React: Vite-based SPA with modern tooling
- Next.js: SSR/SSG framework with app directory
- Express: Node.js backend with routing
- Vue: Progressive framework setup
- CLI: Command-line tools with standard structure
- Web: HTTP servers with handlers
- gRPC: RPC service templates
- CLI: Clap-based command-line tools
- Web: Actix-web servers
- Library: Reusable crate templates
requirements.txt: Production and dev dependenciessetup.py: Package configurationREADME.md: Project documentation.env.example: Environment variable template.gitignore: Python-specific ignore patterns
package.json: NPM package configuration with scriptsREADME.md: Project documentation.env.example: Environment variable template.gitignore: Node-specific ignore patterns- Framework-specific configs (vite.config.js, etc.)
go.mod: Module definitionREADME.md: Project documentationmain.go: Entry point
Cargo.toml: Package manifestREADME.md: Project documentationmain.rsorlib.rs: Entry point
- Uses FileCreator for all file operations
- Leverages diff preview capabilities
- Maintains backup functionality
- Uses CommandExecutor for git commands
- Leverages approval workflow for risky operations
- Handles command failures gracefully
- Properly handles async CommandExecutor methods
- Uses asyncio.run() for synchronous interface
- Maintains compatibility with existing codebase
- Intelligent detection from natural language descriptions
- Pattern-based matching with scoring
- Fallback to generic types
- Automated creation of project-specific hierarchies
- Template-based structure generation
- Support for multiple project types
- Generates all necessary config files
- Template-based content generation
- Project-type-specific configurations
- Repository initialization
- .gitignore generation
- Initial commit creation
- Package manager detection
- Automated installation with approval
- Progress tracking and reporting
from codegenie.core.project_scaffolder import ProjectScaffolder, ProjectType
scaffolder = ProjectScaffolder()
# Create a FastAPI project
project = scaffolder.create_project(
project_type=ProjectType.PYTHON_FASTAPI,
name="my-api",
options={
'description': 'My REST API',
'author': 'John Doe',
}
)# Detect from description
project_type = scaffolder.detect_project_type(
"Create a FastAPI REST API for user management"
)
# Returns: ProjectType.PYTHON_FASTAPIdef progress_callback(message: str):
print(f"Progress: {message}")
# Create project with all features
project = scaffolder.create_project_with_git_and_deps(
project_type="python fastapi api",
name="complete-api",
options={'description': 'Complete API'},
initialize_git=True,
install_deps=True,
progress_callback=progress_callback
)Created comprehensive test files:
demo_project_scaffolder.py: Full demonstration of all featurestest_project_scaffolder_simple.py: Unit tests for core functionalitytest_scaffolder_direct.py: Direct import tests
src/codegenie/core/project_scaffolder.py- Main implementation (900+ lines)demo_project_scaffolder.py- Comprehensive demotest_project_scaffolder_simple.py- Unit teststest_scaffolder_direct.py- Direct testsTASK_5_PROJECT_SCAFFOLDER_SUMMARY.md- This summary
The ProjectScaffolder is now ready for integration with:
- Template System (Task 6): For custom template support
- Context Analyzer (Task 7): For detecting existing project conventions
- Dependency Manager (Task 8): For advanced dependency management
- CLI Integration (Task 13): For
codegenie scaffoldcommand - Web Interface (Task 14): For visual project creation
- Factory Pattern: Project creation based on type
- Template Method: Consistent structure generation
- Strategy Pattern: Different package managers
- Builder Pattern: Progressive project construction
- Comprehensive type hints
- Detailed docstrings
- Proper error handling
- Logging throughout
- Clean separation of concerns
- Easy to add new project types
- Simple template system
- Pluggable package managers
- Customizable configurations
Task 5 has been successfully completed with all three subtasks:
- ✅ 5.1: Create ProjectScaffolder class
- ✅ 5.2: Add version control integration
- ✅ 5.3: Implement dependency installation
The ProjectScaffolder provides a robust foundation for automated project creation, supporting multiple languages and frameworks with intelligent detection, comprehensive templates, and seamless integration with existing CodeGenie components.