mirror of
https://github.com/facefusion/facefusion.git
synced 2026-04-25 19:06:21 +02:00
harisreedhar
103 lines
3.4 KiB
Python
103 lines
3.4 KiB
Python
import tempfile
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from argparse import ArgumentParser
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from typing import Iterator
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import pytest
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from starlette.testclient import TestClient
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from facefusion import args_store, content_analyser, face_classifier, face_detector, face_landmarker, face_masker, face_recognizer, metadata, session_manager, state_manager, voice_extractor
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from facefusion.apis import asset_store
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from facefusion.apis.core import create_api
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from facefusion.args_helper import apply_args
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from facefusion.core import processors_pre_check
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from facefusion.download import conditional_download
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from facefusion.program import collect_step_program
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from .helper import get_test_example_file, get_test_examples_directory
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@pytest.fixture(scope = 'module', autouse = True)
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def before_all() -> None:
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conditional_download(get_test_examples_directory(),
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[
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'https://github.com/facefusion/facefusion-assets/releases/download/examples-3.0.0/source.jpg'
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])
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@pytest.fixture(scope = 'module')
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def test_client() -> Iterator[TestClient]:
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state_manager.init_item('config_path', 'facefusion.ini')
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program = collect_step_program()
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args = vars(program.parse_args([]))
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apply_args(args, state_manager.init_item)
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state_manager.init_item('execution_device_ids', [ 0 ])
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state_manager.init_item('execution_providers', [ 'cpu' ])
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state_manager.init_item('execution_thread_count', 1)
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state_manager.init_item('temp_path', tempfile.gettempdir())
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state_manager.init_item('video_memory_strategy', 'strict')
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state_manager.init_item('log_level', 'info')
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state_manager.init_item('download_providers', [ 'github', 'huggingface' ])
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state_manager.init_item('download_scope', 'lite')
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state_manager.init_item('source_paths', None)
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state_manager.init_item('processors', [ 'face_swapper' ])
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state_manager.init_item('face_selector_mode', 'many')
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args_store.register_argument_set(
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[
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ArgumentParser().add_argument('--source-paths', nargs = '+')
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], scopes = [ 'api' ])
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for module in [ content_analyser, face_classifier, face_detector, face_landmarker, face_masker, face_recognizer, voice_extractor ]:
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module.pre_check()
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processors_pre_check()
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with TestClient(create_api()) as test_client:
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yield test_client
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@pytest.fixture(scope = 'function', autouse = True)
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def before_each() -> None:
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state_manager.init_item('source_paths', None)
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session_manager.SESSIONS.clear()
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asset_store.clear()
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def test_process_image(test_client : TestClient) -> None:
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create_session_response = test_client.post('/session', json =
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{
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'client_version': metadata.get('version')
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})
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access_token = create_session_response.json().get('access_token')
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source_path = get_test_example_file('source.jpg')
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with open(source_path, 'rb') as source_file:
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source_content = source_file.read()
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upload_response = test_client.post('/assets?type=source', headers =
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{
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'Authorization': 'Bearer ' + access_token
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}, files =
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[
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('file', ('source.jpg', source_content, 'image/jpeg'))
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])
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asset_id = upload_response.json().get('asset_ids')[0]
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select_response = test_client.put('/state?action=select&type=source', json =
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{
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'asset_ids': [ asset_id ]
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}, headers =
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{
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'Authorization': 'Bearer ' + access_token
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})
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assert select_response.status_code == 200
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with test_client.websocket_connect('/process/image', subprotocols =
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[
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'access_token.' + access_token
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]) as websocket:
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websocket.send_bytes(source_content)
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result_bytes = websocket.receive_bytes()
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assert len(result_bytes) > 0
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