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| 1 | +# What is SharpFsm? |
| 2 | + |
| 3 | +A flexible finite state machine (FSM) library for .NET written in C#, it is designed to create and manage Finite State Machines (FSMs) in a simple and efficient way. It allows developers to define states, transitions, and events, enabling the modeling of complex behaviors in a structured manner. |
| 4 | + |
| 5 | +# Features |
| 6 | +- **State Management**: Easily define and manage states in your FSM. Strongly-typed FSMs using enums for states |
| 7 | +- **Transition Handling**: Transition conditions and side effects. |
| 8 | +- **Serialization**: Serialization to/from JSON and YAML. |
| 9 | +- **Builder Pattern**: Builder pattern for easy FSM construction. |
| 10 | +- **Extensible**: Easily extend the library to fit specific needs or integrate with other systems. |
| 11 | +- **Cross-Platform**: Multi-targeted for broad .NET compatibility |
| 12 | + |
| 13 | + |
| 14 | +# Advantage of using FSM |
| 15 | + |
| 16 | +Using a finite state machine (FSM) for managing state offers several advantages over ad-hoc approaches (like scattered conditionals, flags, or event-driven code) and even over some object-oriented state patterns. Here are the key benefits: |
| 17 | + |
| 18 | +1. Clarity and Explicitness |
| 19 | + - All possible states and transitions are explicitly defined. |
| 20 | + - The system’s behavior is easy to visualize, reason about, and document. |
| 21 | + - Reduces ambiguity and hidden state changes. |
| 22 | +2. Predictability and Robustness |
| 23 | + - Transitions are controlled and validated. |
| 24 | + - Only allowed transitions can occur, preventing invalid or unexpected state changes. |
| 25 | + - Makes it easier to handle edge cases and errors. |
| 26 | +3. Maintainability |
| 27 | + - Adding or modifying states and transitions is straightforward. |
| 28 | + - Changes are localized to the FSM definition, not scattered across the codebase. |
| 29 | + - Reduces the risk of introducing bugs when requirements change. |
| 30 | +4. Testability |
| 31 | + - FSMs are easy to test. |
| 32 | + - You can systematically test all states and transitions. |
| 33 | + - Makes it easier to write unit tests for state-dependent logic. |
| 34 | +5. Separation of Concerns |
| 35 | + - State logic is separated from business logic. |
| 36 | + - Conditions and side effects are encapsulated, making the codebase cleaner and more modular. |
| 37 | +6. Scalability |
| 38 | + - FSMs scale well as complexity grows. |
| 39 | + - Adding new states or transitions does not exponentially increase code complexity, unlike nested if/else or switch statements. |
| 40 | +7. Visualization and Documentation |
| 41 | + - FSMs can be visualized as state diagrams. |
| 42 | + - This aids in communication with stakeholders and helps onboard new developers. |
| 43 | + |
| 44 | +| Approach | Pros of FSM over this approach | |
| 45 | +|------------------|------------------------------------------------------| |
| 46 | +| If/else, switch | Avoids spaghetti code, centralizes state logic | |
| 47 | +| Flags/booleans | Prevents invalid state combinations | |
| 48 | +| Event-driven | Makes allowed transitions explicit and predictable | |
| 49 | +| State pattern | FSM is more declarative and easier to visualize | |
| 50 | + |
| 51 | +# Use Cases |
| 52 | +Here are some common use cases for implementing a finite state machine (FSM) in software development: |
| 53 | + |
| 54 | +1. Workflow and Process Management |
| 55 | + - Example: Ticketing systems, order processing, approval workflows. |
| 56 | + - Why: Each item moves through a series of well-defined states (e.g., Open → In Progress → Resolved). |
| 57 | +2. User Interface (UI) Navigation |
| 58 | + - Example: Wizard dialogs, multi-step forms, menu navigation. |
| 59 | + - Why: UI components often have distinct states and transitions based on user actions. |
| 60 | +3. Game Development |
| 61 | + - Example: Character states (Idle, Walking, Jumping, Attacking), enemy AI behaviors. |
| 62 | + - Why: Game entities often have clear, rule-based state transitions. |
| 63 | +4. Protocol and Communication Handling |
| 64 | + - Example: Network protocol implementations (TCP handshake, HTTP request/response), parsers. |
| 65 | + - Why: Protocols are defined by sequences of states and transitions based on received data. |
| 66 | +5. Device and Hardware Control |
| 67 | + - Example: Embedded systems, robotics, IoT devices (e.g., a washing machine: Idle → Washing → Rinsing → Spinning → Done). |
| 68 | + - Why: Devices operate in modes with strict rules for moving between them. |
| 69 | +6. Authentication and Authorization Flows |
| 70 | + - Example: Login processes, multi-factor authentication, session management. |
| 71 | + - Why: Security flows require strict control over allowed transitions. |
| 72 | +7. Error Handling and Recovery |
| 73 | + - Example: Retry logic, circuit breakers, transaction management. |
| 74 | + - Why: Systems need to move between normal, error, and recovery states in a controlled way. |
| 75 | +8. Text Parsing and Lexical Analysis |
| 76 | + - Example: Tokenizers, interpreters, compilers. |
| 77 | + - Why: Parsing often involves moving through states based on input characters or tokens. |
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