"""OCR settings and metrics SQLModel models."""

from datetime import datetime
from decimal import Decimal
from enum import Enum
from typing import Optional

from sqlmodel import SQLModel, Field


class OCREngine(str, Enum):
    """Available OCR engines."""
    TESSERACT = "tesseract"
    DOCTR = "doctr"
    DOCTR_PLUS = "doctr_plus"  # docTR with 2-tier sequential processing + early exit (optimized, recommended)
    PADDLEOCR = "paddleocr"


class UserOCRPreference(SQLModel, table=True):
    """
    User's preferred OCR engine setting.

    Each user can have one preferred OCR engine that will be
    auto-selected when they upload new receipts for processing.
    """

    __tablename__ = "user_ocr_preferences"

    id: Optional[int] = Field(default=None, primary_key=True)

    # User identification
    username: str = Field(max_length=100, unique=True, index=True)

    # Preference settings
    preferred_engine: OCREngine = Field(default=OCREngine.DOCTR_PLUS)

    # Timestamps
    created_at: datetime = Field(default_factory=datetime.utcnow)
    updated_at: datetime = Field(default_factory=datetime.utcnow)


class OCRJobMetrics(SQLModel, table=True):
    """
    OCR job processing metrics for analytics.

    Stores metrics for each OCR job to enable:
    - Performance tracking by engine
    - Success rate analysis
    - Processing time trends
    - User-specific analytics
    """

    __tablename__ = "ocr_job_metrics"

    id: Optional[int] = Field(default=None, primary_key=True)

    # Job identification
    job_id: str = Field(max_length=50, unique=True, index=True)

    # User and company context
    username: str = Field(max_length=100, index=True)
    company_id: Optional[int] = Field(default=None, index=True)

    # Engine used
    engine_requested: str = Field(max_length=20)  # What user/auto requested
    engine_used: str = Field(max_length=50)  # What was actually used (e.g., "doctr-light")

    # Processing metrics
    processing_time_ms: int = Field(default=0)
    file_size_bytes: int = Field(default=0)
    file_type: str = Field(max_length=50, default="image/jpeg")  # MIME type
    original_filename: Optional[str] = Field(default=None, max_length=255)  # Original uploaded filename

    # Success metrics
    success: bool = Field(default=True)
    error_message: Optional[str] = Field(default=None, max_length=500)

    # Extraction quality metrics
    overall_confidence: float = Field(default=0.0)
    fields_extracted: int = Field(default=0)  # Number of fields successfully extracted
    needs_manual_review: Optional[bool] = Field(default=None)
    validation_warnings_count: int = Field(default=0)
    validation_errors_count: int = Field(default=0)

    # Timestamps
    created_at: datetime = Field(default_factory=datetime.utcnow)


class OCRMetricsSummary(SQLModel):
    """
    Summary metrics for OCR analytics.

    Not a database table - used for API responses.
    """
    engine: str
    total_jobs: int
    successful_jobs: int
    failed_jobs: int
    success_rate: float  # Computed: successful_jobs / total_jobs
    avg_processing_time_ms: float
    avg_confidence: float
    avg_fields_extracted: float