"""
Data models for the Modius Agent Performance application.
"""
from dataclasses import dataclass
from datetime import datetime
from typing import Optional, List, Dict, Any


@dataclass
class AgentMetric:
    """Represents a single agent performance metric."""
    agent_id: int
    agent_name: str
    timestamp: datetime
    metric_type: str
    apr: Optional[float] = None
    adjusted_apr: Optional[float] = None
    roi: Optional[float] = None
    volume: Optional[float] = None
    agent_hash: Optional[str] = None
    is_dummy: bool = False


@dataclass
class AgentInfo:
    """Represents basic agent information."""
    agent_id: int
    agent_name: str
    type_id: int


@dataclass
class AgentType:
    """Represents an agent type."""
    type_id: int
    type_name: str


@dataclass
class AttributeDefinition:
    """Represents an attribute definition."""
    attr_def_id: int
    attr_name: str


@dataclass
class AgentStatistics:
    """Represents statistical data for an agent."""
    agent_id: int
    agent_name: str
    total_points: int
    apr_points: int
    performance_points: int
    real_apr_points: int
    real_performance_points: int
    avg_apr: Optional[float] = None
    avg_performance: Optional[float] = None
    max_apr: Optional[float] = None
    min_apr: Optional[float] = None
    avg_adjusted_apr: Optional[float] = None
    max_adjusted_apr: Optional[float] = None
    min_adjusted_apr: Optional[float] = None
    latest_timestamp: Optional[str] = None


@dataclass
class ChartData:
    """Represents data for chart visualization."""
    x_values: List[datetime]
    y_values: List[float]
    agent_name: str
    metric_type: str
    color: str
    visible: bool = True


@dataclass
class MovingAverageData:
    """Represents moving average data."""
    timestamp: datetime
    value: float
    moving_avg: Optional[float] = None
    adjusted_moving_avg: Optional[float] = None


class APIResponse:
    """Base class for API responses."""
    
    def __init__(self, data: Dict[str, Any], status_code: int = 200):
        self.data = data
        self.status_code = status_code
        self.success = status_code == 200
    
    def is_success(self) -> bool:
        return self.success
    
    def get_data(self) -> Dict[str, Any]:
        return self.data if self.success else {}


class AgentTypeResponse(APIResponse):
    """Response for agent type API calls."""
    
    def get_agent_type(self) -> Optional[AgentType]:
        if self.success and self.data:
            return AgentType(
                type_id=self.data.get('type_id'),
                type_name=self.data.get('type_name')
            )
        return None


class AttributeDefinitionResponse(APIResponse):
    """Response for attribute definition API calls."""
    
    def get_attribute_definition(self) -> Optional[AttributeDefinition]:
        if self.success and self.data:
            return AttributeDefinition(
                attr_def_id=self.data.get('attr_def_id'),
                attr_name=self.data.get('attr_name')
            )
        return None


class AgentsListResponse(APIResponse):
    """Response for agents list API calls."""
    
    def get_agents(self) -> List[AgentInfo]:
        if self.success and isinstance(self.data, list):
            return [
                AgentInfo(
                    agent_id=agent.get('agent_id'),
                    agent_name=agent.get('agent_name'),
                    type_id=agent.get('type_id')
                )
                for agent in self.data
                if agent.get('agent_id') and agent.get('agent_name')
            ]
        return []


class AttributeValuesResponse(APIResponse):
    """Response for attribute values API calls."""
    
    def get_attribute_values(self) -> List[Dict[str, Any]]:
        if self.success and isinstance(self.data, list):
            return self.data
        return []