import glob
import subprocess
import pytest

import DeepFakeAI.globals
from DeepFakeAI.filesystem import get_temp_directory_path, create_temp, clear_temp
from DeepFakeAI.download import conditional_download
from DeepFakeAI.ffmpeg import extract_frames


@pytest.fixture(scope = 'module', autouse = True)
def before_all() -> None:
	conditional_download('.assets/examples',
	[
		'https://github.com/DeepFakeAI/DeepFakeAI-assets/releases/download/examples/source.jpg',
		'https://github.com/DeepFakeAI/DeepFakeAI-assets/releases/download/examples/target-240p.mp4'
	])
	subprocess.run([ 'ffmpeg', '-i', '.assets/examples/target-240p.mp4', '-vf', 'fps=25', '.assets/examples/target-240p-25fps.mp4' ])
	subprocess.run([ 'ffmpeg', '-i', '.assets/examples/target-240p.mp4', '-vf', 'fps=30', '.assets/examples/target-240p-30fps.mp4' ])
	subprocess.run([ 'ffmpeg', '-i', '.assets/examples/target-240p.mp4', '-vf', 'fps=60', '.assets/examples/target-240p-60fps.mp4' ])


@pytest.fixture(scope = 'function', autouse = True)
def before_each() -> None:
	DeepFakeAI.globals.trim_frame_start = None
	DeepFakeAI.globals.trim_frame_end = None
	DeepFakeAI.globals.temp_frame_quality = 80
	DeepFakeAI.globals.temp_frame_format = 'jpg'


def test_extract_frames() -> None:
	target_paths =\
	[
		'.assets/examples/target-240p-25fps.mp4',
		'.assets/examples/target-240p-30fps.mp4',
		'.assets/examples/target-240p-60fps.mp4'
	]
	for target_path in target_paths:
		temp_directory_path = get_temp_directory_path(target_path)
		create_temp(target_path)

		assert extract_frames(target_path, 30.0) is True
		assert len(glob.glob1(temp_directory_path, '*.jpg')) == 324

		clear_temp(target_path)


def test_extract_frames_with_trim_start() -> None:
	DeepFakeAI.globals.trim_frame_start = 224
	data_provider =\
	[
		('.assets/examples/target-240p-25fps.mp4', 55),
		('.assets/examples/target-240p-30fps.mp4', 100),
		('.assets/examples/target-240p-60fps.mp4', 212)
	]
	for target_path, frame_total in data_provider:
		temp_directory_path = get_temp_directory_path(target_path)
		create_temp(target_path)

		assert extract_frames(target_path, 30.0) is True
		assert len(glob.glob1(temp_directory_path, '*.jpg')) == frame_total

		clear_temp(target_path)


def test_extract_frames_with_trim_start_and_trim_end() -> None:
	DeepFakeAI.globals.trim_frame_start = 124
	DeepFakeAI.globals.trim_frame_end = 224
	data_provider =\
	[
		('.assets/examples/target-240p-25fps.mp4', 120),
		('.assets/examples/target-240p-30fps.mp4', 100),
		('.assets/examples/target-240p-60fps.mp4', 50)
	]
	for target_path, frame_total in data_provider:
		temp_directory_path = get_temp_directory_path(target_path)
		create_temp(target_path)

		assert extract_frames(target_path, 30.0) is True
		assert len(glob.glob1(temp_directory_path, '*.jpg')) == frame_total

		clear_temp(target_path)


def test_extract_frames_with_trim_end() -> None:
	DeepFakeAI.globals.trim_frame_end = 100
	data_provider =\
	[
		('.assets/examples/target-240p-25fps.mp4', 120),
		('.assets/examples/target-240p-30fps.mp4', 100),
		('.assets/examples/target-240p-60fps.mp4', 50)
	]
	for target_path, frame_total in data_provider:
		temp_directory_path = get_temp_directory_path(target_path)
		create_temp(target_path)

		assert extract_frames(target_path, 30.0) is True
		assert len(glob.glob1(temp_directory_path, '*.jpg')) == frame_total

		clear_temp(target_path)