"""
Input data models for the AI Intelligence Layer.
Defines schemas for enriched telemetry, race context, and request payloads.
"""
from pydantic import BaseModel, Field
from typing import List, Literal, Optional


class EnrichedTelemetryWebhook(BaseModel):
    """Single lap of enriched telemetry data from HPC enrichment module (lap-level)."""
    lap: int = Field(..., description="Lap number")
    tire_degradation_rate: float = Field(..., ge=0.0, le=1.0, description="Tire degradation rate (0..1, higher is worse)")
    pace_trend: Literal["improving", "stable", "declining"] = Field(..., description="Pace trend over recent laps")
    tire_cliff_risk: float = Field(..., ge=0.0, le=1.0, description="Probability of tire performance cliff (0..1)")
    optimal_pit_window: List[int] = Field(..., description="Recommended pit stop lap window [start, end]")
    performance_delta: float = Field(..., description="Lap time delta vs baseline (negative = slower)")
    competitive_pressure: float = Field(..., ge=0.0, le=1.0, description="Competitive pressure from position and gaps (0..1)")
    position_trend: Literal["gaining", "stable", "losing"] = Field(..., description="Position trend over recent laps")


class RaceInfo(BaseModel):
    """Current race information."""
    track_name: str = Field(..., description="Name of the circuit")
    total_laps: int = Field(..., gt=0, description="Total race laps")
    current_lap: int = Field(..., ge=0, description="Current lap number")
    weather_condition: str = Field(..., description="Current weather (e.g., Dry, Wet, Mixed)")
    track_temp_celsius: float = Field(..., description="Track temperature in Celsius")


class DriverState(BaseModel):
    """Current driver state."""
    driver_name: str = Field(..., description="Driver name")
    current_position: int = Field(..., gt=0, description="Current race position")
    current_tire_compound: Literal["soft", "medium", "hard", "intermediate", "wet"] = Field(..., description="Current tire compound")
    tire_age_laps: int = Field(..., ge=0, description="Laps on current tires")
    fuel_remaining_percent: float = Field(..., ge=0.0, le=100.0, description="Remaining fuel percentage")
    gap_to_leader: Optional[float] = Field(default=0.0, description="Gap to race leader in seconds")
    gap_to_ahead: Optional[float] = Field(default=0.0, description="Gap to car directly ahead in seconds")


class Competitor(BaseModel):
    """Competitor information."""
    position: int = Field(..., gt=0, description="Race position")
    driver: str = Field(..., description="Driver name")
    tire_compound: Literal["soft", "medium", "hard", "intermediate", "wet"] = Field(..., description="Tire compound")
    tire_age_laps: int = Field(..., ge=0, description="Laps on current tires")
    gap_seconds: float = Field(..., description="Gap in seconds (negative if ahead)")


class RaceContext(BaseModel):
    """Complete race context."""
    race_info: RaceInfo
    driver_state: DriverState
    competitors: List[Competitor] = Field(default_factory=list)


class Strategy(BaseModel):
    """A single race strategy option."""
    strategy_id: int = Field(..., description="Unique strategy identifier (1-20)")
    strategy_name: str = Field(..., description="Short descriptive name")
    stop_count: int = Field(..., ge=1, le=3, description="Number of pit stops")
    pit_laps: List[int] = Field(..., description="Lap numbers for pit stops")
    tire_sequence: List[Literal["soft", "medium", "hard", "intermediate", "wet"]] = Field(..., description="Tire compounds in order")
    brief_description: str = Field(..., description="One sentence rationale")
    risk_level: Literal["low", "medium", "high", "critical"] = Field(..., description="Risk assessment")
    key_assumption: str = Field(..., description="Main assumption this strategy relies on")


class BrainstormRequest(BaseModel):
    """Request for strategy brainstorming."""
    enriched_telemetry: Optional[List[EnrichedTelemetryWebhook]] = Field(None, description="Enriched telemetry data")
    race_context: RaceContext = Field(..., description="Current race context")


class AnalyzeRequest(BaseModel):
    """Request for strategy analysis."""
    enriched_telemetry: Optional[List[EnrichedTelemetryWebhook]] = Field(None, description="Enriched telemetry data")
    race_context: RaceContext = Field(..., description="Current race context")
    strategies: List[Strategy] = Field(..., description="Strategies to analyze (typically 20)")


class EnrichedTelemetryWithContext(BaseModel):
    """Webhook payload containing enriched telemetry and race context."""
    enriched_telemetry: EnrichedTelemetryWebhook = Field(..., description="Single lap enriched telemetry")
    race_context: RaceContext = Field(..., description="Current race context")