| import pytest
|
| from fastapi.testclient import TestClient
|
| from app.main import app
|
| from io import BytesIO
|
|
|
| client = TestClient(app)
|
|
|
| def test_tryon_success():
|
|
|
| test_image = BytesIO(b"fake image data")
|
| test_image.name = "test_image.jpg"
|
|
|
|
|
| files = {
|
| "garment_images": ("test_image.jpg", test_image, "image/jpeg")
|
| }
|
| data = {
|
| "garment_type": "dress",
|
| "model_gender": "female",
|
| "model_age_range": "25-35",
|
| "model_body_shape": "athletic",
|
| "model_race_ethnicity": "asian",
|
| "model_pose": "standing",
|
| "camera_view_angle": "front",
|
| "camera_distance_meters": 2.0,
|
| "camera_focal_length_mm": 50.0,
|
| "camera_aperture_f_number": 2.8,
|
| "camera_lighting_condition": "natural",
|
| "camera_background": "studio"
|
| }
|
|
|
| response = client.post("/api/v1/tryon", files=files, data=data)
|
| assert response.status_code == 200
|
| assert response.headers["content-type"] == "image/png"
|
|
|
| def test_tryon_invalid_model_attributes():
|
| test_image = BytesIO(b"fake image data")
|
| test_image.name = "test_image.jpg"
|
|
|
| files = {
|
| "garment_images": ("test_image.jpg", test_image, "image/jpeg")
|
| }
|
| data = {
|
| "garment_type": "invalid_type",
|
| "model_gender": "female",
|
| "model_age_range": "25-35",
|
| "model_body_shape": "athletic",
|
| "model_race_ethnicity": "asian",
|
| "model_pose": "standing",
|
| "camera_view_angle": "front",
|
| "camera_distance_meters": 2.0,
|
| "camera_focal_length_mm": 50.0,
|
| "camera_aperture_f_number": 2.8,
|
| "camera_lighting_condition": "natural",
|
| "camera_background": "studio"
|
| }
|
|
|
| response = client.post("/api/v1/tryon", files=files, data=data)
|
| assert response.status_code == 400
|
| assert "Invalid model or camera attributes" in response.json()["detail"]
|
|
|
| def test_tryon_invalid_file_type():
|
| test_file = BytesIO(b"not an image")
|
| test_file.name = "test.txt"
|
|
|
| files = {
|
| "garment_images": ("test.txt", test_file, "text/plain")
|
| }
|
| data = {
|
| "garment_type": "dress",
|
| "model_gender": "female",
|
| "model_age_range": "25-35",
|
| "model_body_shape": "athletic",
|
| "model_race_ethnicity": "asian",
|
| "model_pose": "standing",
|
| "camera_view_angle": "front",
|
| "camera_distance_meters": 2.0,
|
| "camera_focal_length_mm": 50.0,
|
| "camera_aperture_f_number": 2.8,
|
| "camera_lighting_condition": "natural",
|
| "camera_background": "studio"
|
| }
|
|
|
| response = client.post("/api/v1/tryon", files=files, data=data)
|
| assert response.status_code == 400
|
| assert "Invalid file type" in response.json()["detail"]
|
|
|
| def test_tryon_missing_file():
|
| data = {
|
| "garment_type": "dress",
|
| "model_gender": "female",
|
| "model_age_range": "25-35",
|
| "model_body_shape": "athletic",
|
| "model_race_ethnicity": "asian",
|
| "model_pose": "standing",
|
| "camera_view_angle": "front",
|
| "camera_distance_meters": 2.0,
|
| "camera_focal_length_mm": 50.0,
|
| "camera_aperture_f_number": 2.8,
|
| "camera_lighting_condition": "natural",
|
| "camera_background": "studio"
|
| }
|
|
|
| response = client.post("/api/v1/tryon", data=data)
|
| assert response.status_code == 422
|
|
|
| def test_tryon_multiple_files():
|
| test_image1 = BytesIO(b"fake image data 1")
|
| test_image1.name = "test_image1.jpg"
|
| test_image2 = BytesIO(b"fake image data 2")
|
| test_image2.name = "test_image2.jpg"
|
|
|
| files = [
|
| ("garment_images", ("test_image1.jpg", test_image1, "image/jpeg")),
|
| ("garment_images", ("test_image2.jpg", test_image2, "image/jpeg"))
|
| ]
|
| data = {
|
| "garment_type": "dress",
|
| "model_gender": "female",
|
| "model_age_range": "25-35",
|
| "model_body_shape": "athletic",
|
| "model_race_ethnicity": "asian",
|
| "model_pose": "standing",
|
| "camera_view_angle": "front",
|
| "camera_distance_meters": 2.0,
|
| "camera_focal_length_mm": 50.0,
|
| "camera_aperture_f_number": 2.8,
|
| "camera_lighting_condition": "natural",
|
| "camera_background": "studio"
|
| }
|
|
|
| response = client.post("/api/v1/tryon", files=files, data=data)
|
| assert response.status_code == 400
|
| assert "Exactly one garment images are required" in response.json()["detail"] |
