# app/models.py
from pydantic import BaseModel
from typing import Optional, List


# =========================
# Upload
# =========================
class UploadResponse(BaseModel):
    image_id: str
    filename: str
    size_bytes: int
    content_type: str
    uploaded_at: str
    url: str


# =========================
# Classification
# =========================
class ClassifyRequest(BaseModel):
    image_id: str


class ClassifyResponse(BaseModel):
    image_id: str
    prediction: str
    confidence: float
    model_version: str = "hf_savedmodel"
    status: str = "completed"


# =========================
# Segmentation
# =========================
class SegmentRequest(BaseModel):
    image_id: str


class SegmentResponse(BaseModel):
    image_id: str
    status: str
    masks_shape: Optional[List[int]] = None
    max_confidence: Optional[float] = None
    result_url: Optional[str] = None
    error: Optional[str] = None