haive.games.fox_and_geese.models¶

Comprehensive data models for the Fox and Geese asymmetric strategy game.

This module defines the complete set of data structures for the classic Fox and Geese game, providing models for position tracking, move validation, strategic analysis, and game state management. The implementation supports the traditional asymmetric gameplay where one fox attempts to capture geese while geese try to trap the fox.

Fox and Geese is a classic asymmetric strategy game involving: - One fox piece that can move and capture in any direction - Multiple geese pieces that can only move forward and sideways - 7x7 board with specific starting positions - Victory conditions: fox captures enough geese OR geese trap the fox - Strategic depth through positioning and tactical maneuvering

Key Models:: FoxAndGeesePosition: Board coordinate representation with validation FoxAndGeeseMove: Complete move description with capture mechanics FoxAndGeeseAnalysis: Strategic evaluation for AI decision-making

Examples

Working with positions:

from haive.games.fox_and_geese.models import FoxAndGeesePosition

# Create board positions
fox_start = FoxAndGeesePosition(row=0, col=3)  # Fox starting position
geese_line = FoxAndGeesePosition(row=6, col=2)  # Geese back line

# Positions are hashable for set operations
positions = {fox_start, geese_line}
print(fox_start)  # "(0, 3)"

Making moves:

from haive.games.fox_and_geese.models import FoxAndGeeseMove

# Fox move with capture
fox_capture = FoxAndGeeseMove(
    from_pos=FoxAndGeesePosition(row=2, col=2),
    to_pos=FoxAndGeesePosition(row=4, col=4),
    piece_type="fox",
    capture=FoxAndGeesePosition(row=3, col=3)
)

# Goose defensive move
goose_move = FoxAndGeeseMove(
    from_pos=FoxAndGeesePosition(row=5, col=1),
    to_pos=FoxAndGeesePosition(row=4, col=1),
    piece_type="goose"
)

Strategic analysis:

from haive.games.fox_and_geese.models import FoxAndGeeseAnalysis

analysis = FoxAndGeeseAnalysis(
    advantage="fox",
    advantage_level=7,
    key_features=["fox has breakthrough", "geese scattered"],
    fox_strategy="Push through center, target isolated geese",
    geese_strategy="Regroup and form defensive line",
    critical_squares=["(3,3)", "(4,4)", "(5,5)"],
    explanation="Fox has tactical advantage with open center control"
)

The models provide comprehensive support for asymmetric game analysis and strategic AI development with proper validation and immutable data structures.

Classes¶

`FoxAndGeeseAnalysis`	Analysis of a Fox and Geese position.
`FoxAndGeeseMove`	Represents a move in Fox and Geese.
`FoxAndGeesePosition`	Immutable position coordinate on the Fox and Geese board.

Module Contents¶

class haive.games.fox_and_geese.models.FoxAndGeeseAnalysis(/, **data)[source]¶

Bases: pydantic.BaseModel

Analysis of a Fox and Geese position.

This class defines the structure of an analysis of a Fox and Geese position, which includes an advantage, an advantage level, key features, fox strategy, geese strategy, and critical squares.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Parameters:: data (Any)

model_config¶: Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

class haive.games.fox_and_geese.models.FoxAndGeeseMove(/, **data)[source]¶

Bases: pydantic.BaseModel

Represents a move in Fox and Geese.

This class defines the structure of a move in Fox and Geese, which includes a starting position, an ending position, a piece type, and an optional captured position.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Parameters:: data (Any)

model_config¶: Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

class haive.games.fox_and_geese.models.FoxAndGeesePosition(/, **data)[source]¶

Bases: pydantic.BaseModel

Immutable position coordinate on the Fox and Geese board.

Represents a specific square on the 7x7 Fox and Geese board using zero-indexed row and column coordinates. The position is immutable and hashable, making it suitable for use in sets and as dictionary keys.

The board layout follows traditional Fox and Geese conventions: - Row 0: Top of the board (fox starting area) - Row 6: Bottom of the board (geese starting area) - Column 0-6: Left to right across the board

Parameters:: data (Any)

row¶: Row coordinate (0-6) from top to bottom of the board.

col¶: Column coordinate (0-6) from left to right of the board.

Examples

Creating positions:

# Fox starting position (center top)
fox_start = FoxAndGeesePosition(row=0, col=3)

# Geese starting positions (bottom row)
geese_positions = [
    FoxAndGeesePosition(row=6, col=i) for i in range(7)
]

# Center board position
center = FoxAndGeesePosition(row=3, col=3)

Position validation:

# Valid positions
valid_pos = FoxAndGeesePosition(row=5, col=2)
assert 0 <= valid_pos.row < 7
assert 0 <= valid_pos.col < 7

# Invalid positions raise validation errors
try:
    invalid = FoxAndGeesePosition(row=7, col=3)  # Row too high
except ValueError as e:
    print(f"Invalid position: {e}")

Working with position sets:

# Positions are hashable
occupied_squares = {
    FoxAndGeesePosition(row=0, col=3),  # Fox
    FoxAndGeesePosition(row=6, col=0),  # Goose
    FoxAndGeesePosition(row=6, col=1),  # Goose
}

# Check if position is occupied
test_pos = FoxAndGeesePosition(row=3, col=3)
is_occupied = test_pos in occupied_squares

Strategic context:

# Corner positions (strategic for fox)
corners = [
    FoxAndGeesePosition(row=0, col=0),
    FoxAndGeesePosition(row=0, col=6),
    FoxAndGeesePosition(row=6, col=0),
    FoxAndGeesePosition(row=6, col=6)
]

# Center control positions
center_squares = [
    FoxAndGeesePosition(row=3, col=3),
    FoxAndGeesePosition(row=3, col=4),
    FoxAndGeesePosition(row=4, col=3),
    FoxAndGeesePosition(row=4, col=4)
]

Note

The position is frozen (immutable) to ensure data integrity and enable use as dictionary keys and in sets. String representation uses mathematical coordinate notation: “(row, col)”.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

model_config¶: Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].