feat: Import + Translate recipe images with OpenAI (#3974)

Co-authored-by: Johan Lindell <johan@lindell.me>
Co-authored-by: boc-the-git <3479092+boc-the-git@users.noreply.github.com>

tests/integration_tests/user_recipe_tests/test_recipe_create_from_image.py

@@ -0,0 +1,58 @@
+import json
+
+import pytest
+from fastapi.testclient import TestClient
+
+from mealie.schema.openai.recipe import (
+    OpenAIRecipe,
+    OpenAIRecipeIngredient,
+    OpenAIRecipeInstruction,
+    OpenAIRecipeNotes,
+)
+from mealie.services.openai import OpenAIService
+from tests.utils import api_routes
+from tests.utils.factories import random_int, random_string
+from tests.utils.fixture_schemas import TestUser
+
+
+def test_openai_create_recipe_from_image(
+    api_client: TestClient,
+    monkeypatch: pytest.MonkeyPatch,
+    unique_user: TestUser,
+    test_image_jpg: str,
+):
+    async def mock_get_response(self, prompt: str, message: str, *args, **kwargs) -> str | None:
+        data = OpenAIRecipe(
+            name=random_string(),
+            description=random_string(),
+            recipe_yield=random_string(),
+            total_time=random_string(),
+            prep_time=random_string(),
+            perform_time=random_string(),
+            ingredients=[OpenAIRecipeIngredient(text=random_string()) for _ in range(random_int(5, 10))],
+            instructions=[OpenAIRecipeInstruction(text=random_string()) for _ in range(1, random_int(5, 10))],
+            notes=[OpenAIRecipeNotes(text=random_string()) for _ in range(random_int(2, 5))],
+        )
+        return data.model_dump_json()
+
+    monkeypatch.setattr(OpenAIService, "get_response", mock_get_response)
+    with open(test_image_jpg, "rb") as f:
+        r = api_client.post(
+            api_routes.recipes_create_from_image,
+            files={"images": ("test_image_jpg.jpg", f, "image/jpeg")},
+            data={"extension": "jpg"},
+            headers=unique_user.token,
+        )
+    assert r.status_code == 201
+
+    # since OpenAI is mocked, we don't need to validate the data, we just need to make sure a recipe is created,
+    # and that it has an image
+    slug: str = json.loads(r.text)
+    r = api_client.get(api_routes.recipes_slug(slug), headers=unique_user.token)
+    assert r.status_code == 200
+    recipe_id = r.json()["id"]
+
+    r = api_client.get(
+        api_routes.media_recipes_recipe_id_images_file_name(recipe_id, "original.webp"), headers=unique_user.token
+    )
+    assert r.status_code == 200