"""
Modèle SQLAlchemy — Image et métadonnées associées
"""
import enum
from datetime import datetime, timezone
from sqlalchemy import (
    Column, Integer, String, Text, DateTime,
    JSON, Float, Enum as SAEnum, BigInteger, Boolean, ForeignKey
)
from sqlalchemy.orm import relationship
from app.database import Base


class ProcessingStatus(str, enum.Enum):
    PENDING    = "pending"
    PROCESSING = "processing"
    DONE       = "done"
    ERROR      = "error"


class Image(Base):
    __tablename__ = "images"

    # ── Identité ──────────────────────────────────────────────
    id              = Column(Integer, primary_key=True, index=True)
    uuid            = Column(String(36), unique=True, index=True, nullable=False)

    # ── Client (multi-tenant) ─────────────────────────────────
    client_id       = Column(String(36), ForeignKey("api_clients.id"), nullable=False, index=True)
    client          = relationship("APIClient", back_populates="images")

    # ── Fichier ───────────────────────────────────────────────
    original_name   = Column(String(512), nullable=False)
    filename        = Column(String(512), nullable=False)       # nom sur disque (uuid-based)
    file_path       = Column(String(1024), nullable=False)
    thumbnail_path  = Column(String(1024))
    mime_type       = Column(String(128))
    file_size       = Column(BigInteger)                        # bytes
    width           = Column(Integer)
    height          = Column(Integer)
    uploaded_at     = Column(DateTime, default=lambda: datetime.now(timezone.utc))

    # ── Statut du pipeline AI ─────────────────────────────────
    processing_status = Column(
        SAEnum(ProcessingStatus),
        default=ProcessingStatus.PENDING,
        nullable=False,
        index=True
    )
    processing_error  = Column(Text)
    processing_started_at = Column(DateTime)
    processing_done_at    = Column(DateTime)

    # ── Métadonnées EXIF ──────────────────────────────────────
    exif_raw        = Column(JSON)          # dict complet brut
    exif_make       = Column(String(256))   # Appareil — fabricant
    exif_model      = Column(String(256))   # Appareil — modèle
    exif_lens       = Column(String(256))
    exif_taken_at   = Column(DateTime)      # DateTimeOriginal EXIF
    exif_gps_lat    = Column(Float)
    exif_gps_lon    = Column(Float)
    exif_altitude   = Column(Float)
    exif_iso        = Column(Integer)
    exif_aperture   = Column(String(32))    # ex: "f/2.8"
    exif_shutter    = Column(String(32))    # ex: "1/250"
    exif_focal      = Column(String(32))    # ex: "50mm"
    exif_flash      = Column(Boolean)
    exif_orientation = Column(Integer)
    exif_software   = Column(String(256))

    # ── OCR ───────────────────────────────────────────────────
    ocr_text        = Column(Text)
    ocr_language    = Column(String(64))
    ocr_confidence  = Column(Float)         # 0.0 – 1.0
    ocr_has_text    = Column(Boolean, default=False)

    # ── AI Vision ─────────────────────────────────────────────
    ai_description  = Column(Text)
    ai_tags         = Column(JSON)          # ["nature", "paysage", ...]
    ai_confidence   = Column(Float)         # score de confiance global
    ai_model_used   = Column(String(128))
    ai_processed_at = Column(DateTime)
    ai_prompt_tokens  = Column(Integer)
    ai_output_tokens  = Column(Integer)

    def __repr__(self):
        return f"<Image id={self.id} name={self.original_name} status={self.processing_status}>"

    @property
    def has_gps(self) -> bool:
        return self.exif_gps_lat is not None and self.exif_gps_lon is not None

    @property
    def dimensions(self) -> str | None:
        if self.width and self.height:
            return f"{self.width}x{self.height}"
        return None