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114 lines
3.4 KiB
Python
114 lines
3.4 KiB
Python
import os.path
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from typing import Optional
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import pytest
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from PIL import Image
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from pydantic import BaseModel
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from imaginairy.schema import InvalidUrlError, LazyLoadingImage
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from tests import TESTS_FOLDER
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class TestModel(BaseModel):
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header_img: Optional[LazyLoadingImage]
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@pytest.fixture(name="red_url")
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def _red_url(mocked_responses):
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url = "http://example.com/red.png"
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with open(os.path.join(TESTS_FOLDER, "data", "red.png"), "rb") as f:
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img_data = f.read()
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mocked_responses.get(
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url,
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body=img_data,
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status=200,
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content_type="image/png",
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)
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return url
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@pytest.fixture(name="red_path")
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def _red_path():
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return os.path.join(TESTS_FOLDER, "data", "red.png")
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@pytest.fixture(name="red_b64")
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def _red_b64():
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return "iVBORw0KGgoAAAANSUhEUgAAAgAAAAIAAQMAAADOtka5AAAABlBMVEX/AAD///9BHTQRAAAANklEQVR4nO3BAQEAAACCIP+vbkhAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAB8G4IAAAHSeInwAAAAAElFTkSuQmCC"
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def test_lazy_load_image(mocked_responses, red_url, red_path, red_b64):
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ll_img = LazyLoadingImage(filepath=red_path)
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assert ll_img.size == (512, 512)
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assert ll_img.as_base64() == red_b64
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ll_img = LazyLoadingImage(url=red_url)
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assert ll_img.size == (512, 512)
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assert ll_img.as_base64() == red_b64
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ll_img = LazyLoadingImage(img=Image.open(red_path))
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assert ll_img.size == (512, 512)
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assert ll_img.as_base64() == red_b64
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ll_img = LazyLoadingImage(b64=red_b64)
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assert ll_img.size == (512, 512)
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assert ll_img.as_base64() == red_b64
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def test_lazy_load_image_validation():
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with pytest.raises(ValueError, match=r".*specify a url or filepath.*"):
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LazyLoadingImage()
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with pytest.raises(FileNotFoundError, match=r".*File does not exist.*"):
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LazyLoadingImage(filepath="/tmp/bterpojirewpdfsn/ergqgr")
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with pytest.raises(InvalidUrlError):
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LazyLoadingImage(url="/tmp/bterpojirewpdfsn/ergqgr")
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img = LazyLoadingImage(filepath=f"{TESTS_FOLDER}/data/beach_at_sainte_adresse.jpg")
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assert img.size == (1686, 1246)
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def test_image_dump(red_path, red_b64):
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obj = TestModel(header_img=LazyLoadingImage(filepath=red_path))
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assert obj.header_img.size == (512, 512)
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obj_data = obj.model_dump_json()
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new_obj = TestModel.model_validate_json(obj_data)
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assert new_obj.header_img.size == (512, 512)
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assert new_obj.header_img.as_base64() == red_b64
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obj_data = obj.model_dump(mode="json")
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new_obj = TestModel.model_validate(obj_data)
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assert new_obj.header_img.size == (512, 512)
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assert new_obj.header_img.as_base64() == red_b64
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obj_data = obj.model_dump(mode="python")
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new_obj = TestModel.model_validate(obj_data)
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assert new_obj.header_img.size == (512, 512)
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assert new_obj.header_img.as_base64() == red_b64
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def test_image_deserialization(red_path, red_url):
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rows = [
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{"header_img": LazyLoadingImage(filepath=red_path)},
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{"header_img": red_path},
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{"header_img": {"filepath": red_path}},
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{"header_img": {"url": red_url}},
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]
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for row in rows:
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obj = TestModel.model_validate(row)
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assert obj.header_img.size == (512, 512)
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def test_image_state(red_path):
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"""I dont remember what this fixes. Maybe the ability of pydantic to copy an object?."""
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img = LazyLoadingImage(filepath=red_path)
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# bypass init
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img2 = LazyLoadingImage.__new__(LazyLoadingImage)
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img2.__setstate__(img.__getstate__())
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assert repr(img) == repr(img2)
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