Ranza - A Randomizer For Everything
A C# Windows Forms tool integrating multiple random generation functionalities, supporting Python script extensions via IronPython 3.4.1, with 10 generation modes for numbers, names, colors, and `{rand}` template filling system.
Project Introduction
Ranza is a unified randomizer tool platform aimed at integrating various random generation functionalities into a single application, providing an intuitive and powerful random content generation experience. Through the combination of C# Windows Forms and IronPython, this project aims to create a modular, extensible randomizer framework that supports multiple generation modes including numbers, colors, dates, names, famous quotes, words, creative ideas, and more, while offering flexible output options and localization support.
Although the project is currently in early development stage, the basic architecture has been established, including the MainForm interface, mode switching system, and technical foundation for integrating Python scripts using IronPython.
Core Philosophy
- Multi-Function Integration: Unify scattered randomizer functionalities into a single platform
- Modular Design: Support multiple generation modes and output formats
- Script Extensibility: Support Python script extensions through IronPython
- User-Friendly: Simple and intuitive Windows Forms interface
My Responsibilities
As the sole developer of this project, I am responsible for all system design and implementation:
System Architecture Planning
- Designed modular randomizer architecture:
- Multiple generation mode switching system (Generation Modes)
- Flexible output format system (Output Modes)
- Extensible generator framework (Generators/)
- Planned feature blueprint (Ideas.txt):
- Generation Modes: Numbers, Colors, Dates, Names, Famous Quotes, Premade Words, Ideas, Blabberings, Customs, Anything
- Output Modes: Export to file, Presentation, Complementary Text (Template Filling System)
- Extra Features: Localizations, Customizable Themes, Log Window, More Output Modes, Explanation Window
Core System Implementation
- Main Interface Development (MainForm):
- Mode selection system (Choices ComboBox)
- Mode switching logic (ChangeGenerateMode)
- Dynamic panel display (G_ModeNumeric, G_ModeName)
- Export functionality planning (Export Button)
- Technical Integration:
- Integrated IronPython 3.4.1 for Python script support
- Established basic framework for future expansion
- Designed pluggable generator module system
UI/UX Design
- Designed Windows Forms main window interface
- Planned visual feedback for mode switching
- Designed UI layout for future features
Core Features (Planned)
1. Diverse Generation Modes
- Numeric Generator (Numeric):
- Random number generation
- Range setting (minimum, maximum)
- Quantity control
- Name Generator (Name):
- Random name generation
- Support for different cultures/regions
- First/last name separation options
- Other Generation Modes (Planned):
- Colors: Random color generation (RGB, HEX, HSL)
- Dates: Random date generation
- Famous Quotes: Random selection of famous quotes
- Premade Words: Random combination of preset words
- Ideas: Creative idea generator
- Blabberings: Random text/gibberish generation
- Customs: Custom rule generator
- Anything: Universal random generation mode
2. Flexible Output System
- File Export (Export to file):
- Support for multiple file formats (TXT, CSV, JSON)
- Batch export functionality
- Presentation Mode (Presentation):
- Visualized display of generated results
- Suitable for presentations and sharing
- Complementary Text / Template Filling (Complementary Text):
- Users can write template text containing
{rand}tags - Automatically fills random content into tag positions during generation
- Suitable for scenarios requiring document/message templates
- Users can write template text containing
3. Interface & Interaction Design
- Mode Switching System:
- ComboBox menu for switching generation modes
- Dynamic panel display of corresponding settings
- Smooth UI transitions
- Settings Panel:
- Mode-specific settings interface
- Parameter adjustment and preview
- Real-time validation and feedback
4. Additional Features (Planned)
- Multi-Language Support (Localizations):
- Interface localization
- Multi-language generation content
- Custom Themes (Customizable Themes):
- Switchable visual styles
- User preference settings
- Log Window (Log Window):
- Operation history tracking
- Generated results tracking
- Explanation Window (Explanation Window):
- Feature explanations and tutorials
- Usage guide
5. Python Script Integration
- IronPython Support:
- Write custom generators in Python
- Dynamic loading of Python scripts
- C# and Python interoperability
- Script Extensions:
- Community-contributed generator scripts
- Plugin system architecture
Technologies Used
Core Frameworks
- C# (.NET Framework 4.8): Primary development language
- Windows Forms: GUI framework
- IronPython 3.4.1: Python script integration
Key Packages
- IronPython Related:
IronPython(3.4.1): Python execution engineIronPython.Modules: Python standard modulesIronPython.SQLite: SQLite supportIronPython.Wpf: WPF integration
- Dynamic Language Runtime:
DynamicLanguageRuntime(1.3.4): Dynamic language supportMicrosoft.Dynamic: Dynamic program executionMicrosoft.Scripting: Script engineMicrosoft.Scripting.Metadata: Metadata processing
System Libraries
- System.Buffers (4.5.1): Buffer management
- System.Memory (4.5.5): Memory management
- System.Numerics.Vectors (4.5.0): Vector operations
- System.Runtime.CompilerServices.Unsafe (6.0.0): Low-level operations
Development Tools
- Visual Studio: Primary IDE
- NuGet: Package management
Project Status
Current Version: Early Development Stage (v0.1-alpha)
- Development Progress: Establishing basic architecture
- Main Achievements: Completed main window framework and basic mode switching
Feature Completion
- ✅ Completed:
- Project architecture establishment
- MainForm main window basic framework
- IronPython integration completed
- Mode selection system (ComboBox)
- Mode switching logic (Numeric, Name modes)
- Dynamic panel switching mechanism
- Basic Helper Functions
- 🔄 In Progress:
- Numeric generator implementation
- Name generator implementation
- Export functionality development
- 📋 Planned (Ideas.txt):
- Complete implementation of 10 generation modes
- Implementation of 3 output modes
- Log window
- Localization support
- Custom theme system
- Explanation window
- Generators/ folder module implementation
Project Challenges
- Architecture Design: How to design an extensible generator plugin system
- IronPython Integration: How to effectively utilize Python scripts for functionality extension
- UI/UX Optimization: How to design a unified and intuitive interface for multiple modes
- Performance Optimization: Performance considerations for bulk generation
Development Challenges & Learnings
1. Modular Generator Architecture Design
Challenge: How to design a unified framework supporting multiple different types of randomizers?
Solution:
- Designed mode switching system dynamically loading different generation modes through
SelectedIndex - Used GroupBox panel switching (G_ModeNumeric, G_ModeName) to display corresponding settings
- Planned extensible switch-case structure for easy addition of more modes
- Established Helper Functions region encapsulating common functionalities (ChangeGenerateMode, ChangeOutputMode)
Learnings:
- Learned the importance of modular design patterns in practical applications
- Understood how to design extensible system architectures
- Mastered Windows Forms dynamic UI control techniques
- Enhanced software architecture planning skills
2. IronPython Technology Integration
Challenge: How to integrate Python script engine in C# application to achieve bilingual collaboration?
Solution:
- Introduced IronPython 3.4.1 and related dependency packages
- Integrated DynamicLanguageRuntime to support dynamic language execution
- Planned Python script loading and execution mechanism
- Designed data exchange interface between C# and Python
Learnings:
- Mastered IronPython applications in .NET environment
- Learned Dynamic Language Runtime (DLR) principles
- Understood technical challenges of cross-language integration
- Enhanced mixed-language development capabilities
- Cultivated technology selection and integration skills
3. Feature Planning & Requirements Analysis
Challenge: How to plan a feature-rich yet not overly complex randomizer tool?
Solution:
- Wrote Ideas.txt document to organize feature blueprint
- Categorized features into three major categories:
- Generation Modes: 10 generation modes
- Output Modes: 3 output methods
- Extra Features: 5 additional features
- Adopted incremental development strategy, implementing core modes first then expanding
- Designed modular architecture for easy gradual feature addition
Learnings:
- Learned requirements analysis and feature planning techniques
- Understood the importance of project scope management
- Mastered incremental development methodology
- Enhanced product design thinking
- Cultivated project management capabilities
4. Windows Forms UI Design
Challenge: How to design a simple yet feature-rich user interface in Windows Forms?
Solution:
- Used ComboBox to provide clear mode selection interface
- Organized different mode settings through GroupBox
- Designed dynamic show/hide mechanism (Visible property control)
- Disabled maximize button (MaximizeBox = false) to maintain fixed window size
- Planned future menu system (Menu Events region)
Learnings:
- Mastered Windows Forms control applications
- Learned dynamic UI management techniques
- Understood user experience design principles
- Enhanced UI/UX implementation skills
5. Early Development Stage Challenges
Challenge: How to establish a solid foundation in the early stages of the project to avoid major refactoring later?
Solution:
- Conducted complete feature planning before implementation (Ideas.txt)
- Established clear code structure:
#region Components: UI event handling#region Helper Functions: Helper functions#region Menu Events: Menu events
- Used placeholder functions like
DoNothing()to mark features to be implemented - Used comment markers (
// To be implemented) to track development progress
Learnings:
- Learned the importance of early project planning
- Mastered code organization and structuring techniques
- Understood technical debt management
- Enhanced project initiation and architecture design capabilities
- Cultivated long-term maintenance mindset
Project Architecture (Planned)
Ranza-A_Randomizer_For_Everything-/
├── Program.cs # Application entry point
├── Forms/ # UI layer
│ ├── MainForm.cs # Main window
│ ├── MainForm.Designer.cs
│ └── MainForm.resx
├── Generators/ # Generator modules (to be developed)
│ ├── NumericGenerator.cs
│ ├── NameGenerator.cs
│ ├── ColorGenerator.cs
│ └── ... (more generators)
├── Resources/ # Resource files
│ └── ... (images, fonts, etc.)
├── Properties/ # Project properties
│ ├── AssemblyInfo.cs
│ └── Resources.Designer.cs
├── Concept Arts/ # Concept design
│ └── Ideas.txt # Feature planning document
└── packages/ # NuGet packages
└── IronPython.3.4.1/
Future Development Direction
Short-term Goals (v0.2)
- Complete numeric generator and name generator
- Implement basic export functionality (TXT files)
- Establish Generators/ folder module architecture
Mid-term Goals (v0.5)
- Implement 5+ generation modes
- Complete 3 output modes
- Add log window
- Implement basic localization support
Long-term Goals (v1.0)
- Complete all 10 generation modes
- Implement custom theme system
- Refine Python script plugin system
- Community sharing and extension mechanism
- Complete documentation and tutorials