"""
Pydantic models for analysis and detection schemas.
"""
from datetime import datetime
from typing import Optional, List, Dict, Any
from uuid import UUID
from pydantic import BaseModel, Field


class Detection(BaseModel):
    """Single object detection in a frame."""
    video_id: UUID
    frame: int = Field(..., ge=0)
    object_type: str = Field(..., description="'player' or 'ball'")
    track_id: int
    bbox: List[float] = Field(..., min_length=4, max_length=4, description="[x1, y1, x2, y2]")
    confidence: float = Field(..., ge=0, le=1)
    keypoints: Optional[List[List[float]]] = Field(None, description="Pose keypoints for players")
    team_id: Optional[int] = None
    has_ball: bool = False
    tactical_x: Optional[float] = None
    tactical_y: Optional[float] = None


class DetectionBatch(BaseModel):
    """Batch of detections for efficient storage."""
    video_id: UUID
    frame_start: int
    frame_end: int
    detections: List[Detection]


class AnalysisRequest(BaseModel):
    """Request schema for triggering analysis."""
    video_id: UUID
    options: Optional[Dict[str, Any]] = Field(default_factory=dict)
    
    # Basic match setup
    our_team_jersey: Optional[str] = None
    opponent_jersey: Optional[str] = None
    our_team_id: Optional[int] = None
    
    # Detection parameters (HIGH PRIORITY)
    player_confidence: Optional[float] = Field(default=0.5, ge=0.1, le=0.9, description="Player detection confidence threshold")
    ball_confidence: Optional[float] = Field(default=0.15, ge=0.05, le=0.9, description="Ball detection confidence threshold")
    detection_batch_size: Optional[int] = Field(default=10, ge=5, le=20, description="Batch size for detection processing")
    image_size: Optional[int] = Field(default=1080, description="Input image size for detection model")
    max_players_on_court: Optional[int] = Field(default=5, ge=5, le=12, description="Max players per team")
    
    # Analysis options (MEDIUM PRIORITY)
    use_cached_detections: Optional[bool] = Field(default=False, description="Use cached detections if available")
    clear_cache_after: Optional[bool] = Field(default=True, description="Clear cache after analysis")
    save_annotated_video: Optional[bool] = Field(default=True, description="Save output video with annotations")
    
    # Display options (LOW PRIORITY)
    render_speed_text: Optional[bool] = Field(default=True, description="Show speed overlay on video")
    render_distance_text: Optional[bool] = Field(default=True, description="Show distance overlay on video")
    render_tactical_view: Optional[bool] = Field(default=True, description="Show tactical view")
    render_court_keypoints: Optional[bool] = Field(default=True, description="Show court keypoint detections")


class AnalysisEvent(BaseModel):
    """Detected event during analysis (pass, shot, etc.)."""
    event_type: str
    frame: int
    timestamp_seconds: float
    player_id: Optional[int] = None
    team_id: Optional[int] = None
    details: Dict[str, Any] = Field(default_factory=dict)


class AnalysisResult(BaseModel):
    """Complete analysis results for a video."""
    id: UUID
    video_id: UUID
    total_frames: int
    duration_seconds: float
    fps: Optional[float] = 30.0
    players_detected: int
    
    # Team analysis specific
    team_1_possession_percent: Optional[float] = None
    team_2_possession_percent: Optional[float] = None
    total_passes: Optional[int] = None
    team_1_passes: Optional[int] = 0
    team_2_passes: Optional[int] = 0
    total_interceptions: Optional[int] = None
    team_1_interceptions: Optional[int] = 0
    team_2_interceptions: Optional[int] = 0
    
    # Shot analysis
    shot_attempts: Optional[int] = 0
    shots_made: Optional[int] = 0
    shots_missed: Optional[int] = 0
    overall_shooting_percentage: Optional[float] = None
    shooting_percentage: Optional[float] = None
    
    # Defensive analysis
    defensive_actions: Optional[int] = 0
    
    # Movement metrics
    total_distance_meters: Optional[float] = None
    avg_speed_kmh: Optional[float] = None
    max_speed_kmh: Optional[float] = None
    
    # Team shooting
    team_1_shot_attempts: Optional[int] = 0
    team_1_shots_made: Optional[int] = 0
    team_2_shot_attempts: Optional[int] = 0
    team_2_shots_made: Optional[int] = 0
    
    # Events
    events: List[AnalysisEvent] = Field(default_factory=list)
    
    # Advanced analytics metadata (hydrated from events)
    advanced_analytics: Optional[Dict[str, Any]] = None
    
    # Processing info
    processing_time_seconds: float
    created_at: datetime
    
    class Config:
        from_attributes = True


class PersonalAnalysisResult(BaseModel):
    """Personal analysis results with skill metrics."""
    id: UUID
    video_id: UUID
    player_id: Optional[UUID] = None
    total_frames: int
    duration_seconds: float
    
    # Skill metrics
    shot_attempts: int = 0
    shot_form_consistency: Optional[float] = Field(None, ge=0, le=100, description="Form consistency percentage")
    dribble_count: int = 0
    dribble_frequency_per_minute: Optional[float] = None
    
    # Movement metrics
    total_distance_meters: Optional[float] = None
    avg_speed_kmh: Optional[float] = None
    max_speed_kmh: Optional[float] = None
    acceleration_events: int = 0
    
    # Pose analysis
    avg_knee_bend_angle: Optional[float] = None
    avg_elbow_angle_shooting: Optional[float] = None
    
    # Training load
    training_load_score: Optional[float] = Field(None, ge=0, le=100)
    
    # Processing info
    processing_time_seconds: float
    created_at: datetime
    
    class Config:
        from_attributes = True