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SQLAlchemy ORM models for player profiles and conversation history.
Persistent storage for:
- Player profiles (names, stats, relationship state)
- Conversation messages (for context retrieval)
"""
from datetime import datetime
from typing import Optional, List
from sqlalchemy import create_engine, Column, String, Integer, Float, DateTime, ForeignKey, Text, Index
from sqlalchemy.orm import declarative_base
from sqlalchemy.orm import sessionmaker, relationship, Session
Base = declarative_base()
class PlayerProfile(Base):
"""
Persistent profile for a player across multiple games.
Tracks relationship state, skill level, play patterns, and history
so the Chess Master can remember and adapt to individual players.
"""
__tablename__ = "player_profiles"
player_id = Column(String(255), primary_key=True)
player_name = Column(String(255), nullable=False)
# Timeline
first_seen = Column(DateTime, default=datetime.now, nullable=False)
last_played = Column(DateTime, default=datetime.now, nullable=False)
# Stats
total_games = Column(Integer, default=0)
wins_against_agent = Column(Integer, default=0)
losses_against_agent = Column(Integer, default=0)
draws = Column(Integer, default=0)
# Preferences and skill
preferred_difficulty = Column(String(50), default="intermediate")
estimated_elo = Column(Integer, default=1400)
# Relationship state: "new" -> "familiar" -> "rival"
relationship_state = Column(String(50), default="new")
# Notes
notes = Column(Text, nullable=True)
# Relationship to conversations
conversations = relationship(
"ConversationMessage",
back_populates="player",
cascade="all, delete-orphan",
)
# Timestamps
created_at = Column(DateTime, default=datetime.now, nullable=False)
updated_at = Column(DateTime, default=datetime.now, onupdate=datetime.now, nullable=False)
def __repr__(self) -> str:
return (
f"<PlayerProfile("
f"player_id={self.player_id}, "
f"player_name={self.player_name}, "
f"total_games={self.total_games}, "
f"relationship_state={self.relationship_state}"
")>"
)
def to_dict(self) -> dict:
"""Convert to dictionary for easy serialization."""
return {
"player_id": self.player_id,
"player_name": self.player_name,
"first_seen": self.first_seen.isoformat() if self.first_seen else None,
"last_played": self.last_played.isoformat() if self.last_played else None,
"total_games": self.total_games,
"wins": self.wins_against_agent,
"losses": self.losses_against_agent,
"draws": self.draws,
"preferred_difficulty": self.preferred_difficulty,
"estimated_elo": self.estimated_elo,
"relationship_state": self.relationship_state,
"notes": self.notes,
}
def update_last_played(self) -> None:
"""Update last_played timestamp."""
self.last_played = datetime.now()
def record_game(self, outcome: str) -> None:
"""
Record a game outcome.
Args:
outcome: "win", "loss", or "draw"
"""
self.total_games += 1
if outcome == "win":
self.wins_against_agent += 1
elif outcome == "loss":
self.losses_against_agent += 1
elif outcome == "draw":
self.draws += 1
self.update_last_played()
def get_win_rate(self) -> float:
"""Calculate win rate against agent."""
if self.total_games == 0:
return 0.0
return self.wins_against_agent / self.total_games
def update_relationship(self) -> None:
"""Update relationship state based on interaction history."""
if self.total_games == 0:
self.relationship_state = "new"
elif self.total_games < 5:
self.relationship_state = "familiar"
else:
self.relationship_state = "rival"
class ConversationMessage(Base):
"""
A single message in a conversation between Chess Master and a player.
Used to store conversation history per player so the agent can
reference recent interactions and build relationships.
"""
__tablename__ = "conversation_messages"
id = Column(Integer, primary_key=True)
player_id = Column(String(255), ForeignKey("player_profiles.player_id"), nullable=False)
timestamp = Column(DateTime, default=datetime.now, nullable=False)
speaker = Column(String(50), nullable=False) # "chess_master" or "player"
content = Column(Text, nullable=False)
# Optional context (game state, move info, etc.) as JSON string
context_json = Column(Text, nullable=True)
# Relationship to player
player = relationship(
"PlayerProfile",
back_populates="conversations",
foreign_keys=[player_id],
)
# Timestamp for ordering
created_at = Column(DateTime, default=datetime.now, nullable=False)
__table_args__ = (
Index("idx_player_timestamp", "player_id", "timestamp"),
)
def __repr__(self) -> str:
return (
f"<ConversationMessage("
f"player_id={self.player_id}, "
f"speaker={self.speaker}, "
f"timestamp={self.timestamp}"
")>"
)
def to_dict(self) -> dict:
"""Convert to dictionary."""
return {
"id": self.id,
"player_id": self.player_id,
"timestamp": self.timestamp.isoformat(),
"speaker": self.speaker,
"content": self.content,
"context": self.context_json,
}
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