Jan-Peter von Hunnius e94bf42dce Holdem basic core structures from scratch.

2025-10-10 19:48:24 +02:00

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Poker Testbed - Java-Compatible Hand Evaluator for Bot Testing

A comprehensive poker bot testing framework with Java-compatible hand evaluation. This library implements the Meerkat API algorithm with full Java compatibility, specifically designed for automated poker bot testing, development, and integration with existing poker tools.

Recent Updates

Input Validation: Added comprehensive validation to Card::new() ensuring rank (0-12) and suit (0-3) are within valid ranges
Enhanced Documentation: All public methods now include working code examples and panic condition documentation
Error Handling: Improved error handling throughout the codebase with proper Result types

Features

Java-Compatible: Full compatibility with Java Meerkat API for seamless tool integration
Bot Testing Framework: Specifically designed for automated poker bot testing and development
Blazing Fast: O(1) hand evaluation using perfect hash lookup tables
Memory Efficient: ~128MB for complete evaluation tables
Standards Compliant: Based on proven poker evaluation algorithms with Java compatibility
Multi-Hand Support: Evaluate 5, 6, or 7-card poker hands with Java-compatible results
Texas Hold'em Ready: Optimized for Texas Hold'em bot analysis and testing
Comprehensive Testing: Extensive test suite with millions of verification cases
Deterministic Results: Consistent hand evaluation for reproducible bot testing
Tool Integration: Compatible with existing Java poker tools and frameworks

Performance

Hand Type	Evaluation Time	Combinations Evaluated
5-Card	~10-20ns	Direct lookup
6-Card	~50-80ns	6 combinations
7-Card	~150-250ns	21 combinations

Documentation

For detailed project information, see:

VISION.md - Project goals and architectural vision
ACHIEVEMENTS.md - Completed milestones and success metrics
ROADMAP.md - Future development phases and implementation plan

Installation

Add this to your Cargo.toml:

[dependencies]
poker-api = "0.1.0"

Quick Start - Bot Testing

use holdem_core::hand_evaluator::LookupHandEvaluator;
use holdem_core::api::{hand::Hand, card::Card};

// Initialize Java-compatible evaluator for bot testing
let evaluator = LookupHandEvaluator::new().unwrap();

// Create hole cards for bot analysis
let mut hole_cards = Hand::new();
hole_cards.add_card(Card::from_string("As").unwrap()).unwrap();
hole_cards.add_card(Card::from_string("Ks").unwrap()).unwrap();

// Evaluate hand strength for bot decision making
let rank = evaluator.rank_hand(&hole_cards);
println!("Hole card rank: {}", rank); // Lower = stronger hand

// Use rank for bot strategy decisions
if rank < 1000 { // Strong hand threshold
    println!("Bot: This is a premium starting hand!");
}

Bot Testing Capabilities

This framework provides specialized capabilities for poker bot testing and development:

Automated Bot Testing

Standardized Evaluation: Java-compatible hand evaluation for consistent bot testing
Performance Benchmarking: Fast evaluation for large-scale bot performance testing
Range Analysis: Efficient hand range evaluation for bot strategy analysis
Decision Tree Testing: Quick hand strength calculation for bot decision trees

Java Tool Integration

Cross-Platform Compatibility: Works seamlessly with existing Java poker tools
Consistent Results: Identical hand rankings to Java Meerkat API
Tool Chain Integration: Compatible with Java-based poker analysis frameworks
Bot Framework Support: Integrates with popular Java poker bot frameworks

Bot Development Features

Hole Card Analysis: Fast evaluation of starting hand strength for pre-flop bots
Post-Flop Analysis: Efficient board texture and hand strength analysis
Incremental Evaluation: Multi-street hand evaluation for complex bot scenarios
Memory Efficient: Optimized for bot testing environments with limited resources

Algorithm Overview

This library implements the Java-compatible Meerkat algorithm, a perfect hash-based approach optimized for poker bot testing:

Java-Style Card Encoding: Each card uses Java Meerkat's 8-bit encoding (rrrr-sss format)
Perfect Hash: Cards are mapped to unique indices using Java-compatible mathematical functions
Table Lookup: Precomputed ranking tables provide instant hand strength values matching Java API
Best Hand Selection: For 6-7 card hands, finds optimal 5-card combination using Java logic

Table Generation

The first time an evaluator is created, it generates evaluation tables:

// Tables are generated automatically on first use
let evaluator = LookupHandEvaluator::new().unwrap();
// Output: "Generating state table..." (first run only)
// Output: "Hand evaluation tables saved to math/HandRanks.dat"

Tables are saved to math/HandRanks.dat and reused for subsequent runs.

Hand Types

The evaluator recognizes all standard poker hand types:

Hand Type	Description	Example
Straight Flush	Five cards in sequence, same suit	A♠ K♠ Q♠ J♠ T♠
Four of a Kind	Four cards of same rank	A♠ A♥ A♦ A♣ K♦
Full House	Three of a kind + one pair	K♠ K♥ K♦ Q♠ Q♥
Flush	Five cards of same suit	A♠ J♠ 8♠ 5♠ 2♠
Straight	Five cards in sequence	A♦ K♣ Q♥ J♠ T♦
Three of a Kind	Three cards of same rank	Q♠ Q♥ Q♦ A♣ 7♦
Two Pair	Two different pairs	J♠ J♥ 7♦ 7♣ A♦
One Pair	Two cards of same rank	A♠ A♥ K♦ Q♣ 7♦
High Card	No matching cards	A♠ K♥ Q♦ J♣ 9♦

Bot Testing Examples

Texas Hold'em Bot Analysis

use holdem_core::hand_evaluator::LookupHandEvaluator;
use holdem_core::api::{card::Card, hand::Hand};

let evaluator = LookupHandEvaluator::new().unwrap();

// Bot analyzes hole cards + flop for decision making
let hole_card1 = Card::from_string("As").unwrap().index() as u32;
let hole_card2 = Card::from_string("Ks").unwrap().index() as u32;

let mut board = Hand::new();
board.add_card(Card::from_string("Td").unwrap()).unwrap();
board.add_card(Card::from_string("Jc").unwrap()).unwrap();
board.add_card(Card::from_string("Qh").unwrap()).unwrap();

// Bot evaluates complete hand strength
let hand_strength = evaluator.rank_hand_with_hole_cards(hole_card1, hole_card2, &board);
println!("Hand strength after flop: {}", hand_strength);

// Bot uses this for post-flop decision making
if hand_strength < 2000 { // Strong hand
    println!("Bot: Continuing with strong hand");
}

Bot Range Analysis

use holdem_core::hand_evaluator::LookupHandEvaluator;
use holdem_core::api::card::Card;

let evaluator = LookupHandEvaluator::new().unwrap();

// Bot analyzes range of starting hands for pre-flop strategy
let premium_hands = vec![
    (Card::from_string("AA").unwrap(), Card::from_string("KK").unwrap()),
    (Card::from_string("QQ").unwrap(), Card::from_string("JJ").unwrap()),
    (Card::from_string("AK").unwrap(), Card::from_string("AQ").unwrap()),
];

for (card1, card2) in premium_hands {
    let mut hand = Hand::new();
    hand.add_card(card1).unwrap();
    hand.add_card(card2).unwrap();

    let strength = evaluator.rank_hand(&hand);
    println!("Bot range analysis - {}: {}", hand.to_string(), strength);
}

Advanced Usage

7-Card Hand Evaluation for Bot Testing

use holdem_core::hand_evaluator::LookupHandEvaluator;
use holdem_core::api::card::Card;

let evaluator = LookupHandEvaluator::new().unwrap();

// Texas Hold'em complete hand: 2 hole cards + 5 community cards
let hole_cards = [
    Card::from_string("As").unwrap().index(),
    Card::from_string("Ks").unwrap().index(),
];

let community_cards = [
    Card::from_string("Td").unwrap().index(),
    Card::from_string("Jc").unwrap().index(),
    Card::from_string("Qh").unwrap().index(),
    Card::from_string("9s").unwrap().index(),
    Card::from_string("2d").unwrap().index(),
];

// Bot evaluates best possible hand from all cards
let all_cards: Vec<u32> = hole_cards.iter().chain(community_cards.iter()).cloned().collect();
let best_rank = evaluator.rank_hand7(&all_cards);
println!("Bot best hand rank: {}", best_rank);

Custom Table Generation

use holdem_core::evaluator_generator::state_table_generator::StateTableGenerator;

let mut generator = StateTableGenerator::new();
generator.generate_tables();        // ~1-2 seconds
generator.save_tables().unwrap();   // Save to disk

Testing

Run the comprehensive test suite:

cargo test

Run performance benchmarks:

cargo test --release hand_eval_integration_test -- --nocapture

Mathematical Foundation

Perfect Hash Algorithm

The evaluator uses a perfect hash function that maps each possible card combination to a unique index:

Hash = f(card₁, card₂, ..., cardₙ)
Index = Hash % TABLE_SIZE
Rank = TABLE[Index]

Card Encoding

Each card is encoded using multiple techniques:

Prime Numbers: Unique primes for rank identification (2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41)
Bit Patterns: Suit detection using bit manipulation
Binary Representation: Compact 8-bit card encoding

Hand Strength Calculation

Hand strength is calculated using:

Flush Detection: Bitwise suit comparison
Rank Analysis: Prime product uniqueness
Pattern Matching: Specialized algorithms per hand type
Relative Ranking: Comparison against all possible hands

References

Meerkat API: Original Java implementation by Ray Wotton (full compatibility maintained)
C Implementation: Paul Senzee's optimized C version (algorithm foundation)
Perfect Hash: Kevin Suffecool's hashing algorithm (core mathematical approach)
Poker Standards: 2+2 Poker hand ranking standards (ranking reference)
Poker Testbed: Framework designed for automated bot testing and analysis
Java Integration: Compatible with existing Java poker tools and frameworks

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Contributions are welcome! Areas for improvement:

Hardware acceleration (SIMD optimizations)
Additional poker variants (Omaha, Stud, etc.)
Memory-mapped table loading
Distributed table generation
Advanced benchmarking tools

Support

For questions, issues, or contributions, please:

Check existing documentation
Review test cases for usage examples
Open GitHub issues for bugs or feature requests
Submit pull requests with comprehensive tests

Performance Note: First run includes ~1-2 second table generation. Subsequent runs load precomputed tables in ~100-200ms.

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