| import pytest |
| import requests |
| from typing import List |
|
|
| from .template import ( |
| APITestTemplate, |
| realistic_girl_face_img, |
| portrait_imgs, |
| girl_img, |
| mask_img, |
| save_base64, |
| get_dest_dir, |
| disable_in_cq, |
| console_log_context, |
| ) |
|
|
|
|
| def get_modules() -> List[str]: |
| return requests.get(APITestTemplate.BASE_URL + "controlnet/module_list").json()[ |
| "module_list" |
| ] |
|
|
|
|
| def detect_template(payload, output_name: str, status: int = 200): |
| url = APITestTemplate.BASE_URL + "controlnet/detect" |
| resp = requests.post(url, json=payload) |
| assert resp.status_code == status |
| if status != 200: |
| return |
|
|
| resp_json = resp.json() |
| if "images" in resp_json: |
| assert len(resp_json["images"]) == len(payload["controlnet_input_images"]) |
| if not APITestTemplate.is_cq_run: |
| for i, img in enumerate(resp_json["images"]): |
| if img == "Detect result is not image": |
| continue |
| dest = get_dest_dir() / f"{output_name}_{i}.png" |
| save_base64(img, dest) |
| elif "tensor" in resp_json: |
| assert len(resp_json["tensor"]) == len(payload["controlnet_input_images"]) |
| if not APITestTemplate.is_cq_run: |
| for i, tensor_str in enumerate(resp_json["tensor"]): |
| dest = get_dest_dir() / f"{output_name}_{i}.txt" |
| with open(dest, "w") as f: |
| f.write(tensor_str) |
| else: |
| assert False, resp_json |
| return resp_json |
|
|
|
|
| UNSUPPORTED_PREPROCESSORS = { |
| "clip_vision", |
| "revision_clipvision", |
| "revision_ignore_prompt", |
| "ip-adapter-auto", |
| } |
|
|
| INPAINT_PREPROCESSORS = { |
| "inpaint_only", |
| "inpaint", |
| "inpaint_only+lama", |
| } |
|
|
|
|
| |
| @disable_in_cq |
| @pytest.mark.parametrize( |
| "module", |
| [ |
| m |
| for m in get_modules() |
| if m not in UNSUPPORTED_PREPROCESSORS.union(INPAINT_PREPROCESSORS) |
| ], |
| ) |
| def test_detect_all_modules(module: str): |
| payload = dict( |
| controlnet_input_images=[realistic_girl_face_img], |
| controlnet_module=module, |
| ) |
| detect_template(payload, f"detect_{module}") |
|
|
|
|
| @disable_in_cq |
| @pytest.mark.parametrize("module", [m for m in INPAINT_PREPROCESSORS]) |
| def test_inpaint_mask(module: str): |
| payload = dict( |
| controlnet_input_images=[girl_img], |
| controlnet_masks=[mask_img], |
| controlnet_module=module, |
| ) |
| detect_template(payload, f"detect_inpaint_mask_{module}") |
|
|
|
|
| @disable_in_cq |
| @pytest.mark.parametrize("img_index", [i for i, _ in enumerate(portrait_imgs)]) |
| def test_pulid(img_index: int): |
| """PuLID preprocessor should not memory leak.""" |
| payload = dict( |
| controlnet_input_images=[portrait_imgs[img_index]], |
| controlnet_module="ip-adapter_pulid", |
| ) |
| detect_template(payload, f"detect_pulid_{img_index}") |
|
|
|
|
| @pytest.mark.parametrize("module", [m for m in UNSUPPORTED_PREPROCESSORS]) |
| def test_unsupported_modules(module: str): |
| payload = dict( |
| controlnet_input_images=[realistic_girl_face_img], |
| controlnet_module=module, |
| ) |
| detect_template(payload, f"detect_{module}", status=422) |
|
|
|
|
| @pytest.mark.parametrize("module", [m for m in INPAINT_PREPROCESSORS]) |
| def test_mask_error(module: str): |
| payload = dict( |
| controlnet_input_images=[realistic_girl_face_img], |
| controlnet_module=module, |
| ) |
| detect_template(payload, f"mask_error_{module}", status=422) |
|
|
|
|
| def test_detect_simple(): |
| detect_template( |
| dict( |
| controlnet_input_images=[realistic_girl_face_img], |
| controlnet_module="canny", |
| ), |
| "simple_detect", |
| ) |
|
|
|
|
| def test_detect_multiple_inputs(): |
| detect_template( |
| dict( |
| controlnet_input_images=[realistic_girl_face_img, realistic_girl_face_img], |
| controlnet_module="canny", |
| ), |
| "multiple_inputs_detect", |
| ) |
|
|
|
|
| def test_detect_with_invalid_module(): |
| detect_template({"controlnet_module": "INVALID"}, "invalid module", 422) |
|
|
|
|
| def test_detect_with_no_input_images(): |
| detect_template({"controlnet_input_images": []}, "no input images", 422) |
|
|
|
|
| def test_detect_default_param(): |
| with console_log_context() as log_context: |
| detect_template( |
| dict( |
| controlnet_input_images=[realistic_girl_face_img], |
| controlnet_module="canny", |
| controlnet_threshold_a=-100, |
| controlnet_threshold_b=-100, |
| controlnet_processor_res=-100, |
| ), |
| "default_param", |
| ) |
| assert log_context.is_in_console_logs( |
| [ |
| "[canny.processor_res] Invalid value(-100), using default value 512.", |
| "[canny.threshold_a] Invalid value(-100.0), using default value 100.", |
| "[canny.threshold_b] Invalid value(-100.0), using default value 200.", |
| ] |
| ) |
|
|
