app/classes.py

from pydantic import BaseModel, Field
from typing import Optional, Union
import numpy as np
from PIL import Image
import io
import base64
import uuid

from behavior.class_behavior import Behaviors
from behavior.class_behavior_simple import BehaviorsSimple
from circumstances.class_circumstance import Circumstances
from physical.class_physical import PhysicalAnomalies
from physical.class_physical_simple import PhysicalAnomaliesSimple
from follow_up.class_follow_up import FollowUpEvents
from geolocalisation.class_geolocalisation import Geolocalisation


class Wounded(BaseModel):
    circumstances: Circumstances
    behaviors: Union[Behaviors, BehaviorsSimple]
    physical_anomalies: Union[PhysicalAnomalies, PhysicalAnomaliesSimple]
    follow_up_events: FollowUpEvents


class Dead(BaseModel):
    circumstances: Circumstances
    physical_anomalies: Union[PhysicalAnomalies, PhysicalAnomaliesSimple]
    follow_up_events: FollowUpEvents


class ImageBase64(BaseModel):
    image: str

    @classmethod
    def to_base64(cls, pixel_data: list):
        img_array = np.array(pixel_data, dtype=np.uint8)
        img = Image.fromarray(img_array)
        # Save the image to a bytes buffer
        buffer = io.BytesIO()
        img.save(buffer, format="PNG")
        buffer.seek(0)
        base64_str = base64.b64encode(buffer.read()).decode("utf-8")
        return cls(image=base64_str)


class Report(BaseModel):
    identifier: str
    image: ImageBase64
    image_md5: str
    geolocalisation: Geolocalisation
    specie: Optional[str]
    number: Optional[int]
    comments: Optional[str]
    wounded_state: str
    wounded: Optional[Wounded] = None
    dead_state: str
    dead: Optional[Dead] = None