"""CoverGenerator 纯逻辑单测 — 时间钳制 + 智能选帧算法.

通过 mock run_ffmpeg 和 probe_video_info 验证纯逻辑部分，
不实际执行 FFmpeg，确保测试轻量快速。
"""

from __future__ import annotations

from pathlib import Path
from unittest.mock import MagicMock, patch

import pytest
from video_processing.cover_generator import (
    DEFAULT_COVER_HEIGHT,
    DEFAULT_COVER_QUALITY,
    DEFAULT_COVER_TIME,
    DEFAULT_COVER_WIDTH,
    SMART_COVER_FRAME_COUNT,
    CoverGenerator,
)


class TestCoverGeneratorConstants:
    """常量默认值测试."""

    def test_default_cover_time(self):
        """默认抽帧时间为 1.0 秒."""
        assert DEFAULT_COVER_TIME == 1.0

    def test_default_dimensions(self):
        """默认封面尺寸 1080x1920 (竖屏)."""
        assert DEFAULT_COVER_WIDTH == 1080
        assert DEFAULT_COVER_HEIGHT == 1920

    def test_default_quality(self):
        """默认质量为 5 (JPEG q:v, 越小越好)."""
        assert DEFAULT_COVER_QUALITY == 5

    def test_smart_cover_frame_count(self):
        """智能封面默认抽 3 帧."""
        assert SMART_COVER_FRAME_COUNT == 3


class TestExtractFrameCommand:
    """extract_frame 命令构建测试."""

    def _probe_video_info_mock(self, duration=10.0):
        """创建 probe_video_info 的 mock."""
        return {"duration": duration, "width": 1920, "height": 1080, "fps": 25.0}

    def test_default_params_command(self, tmp_path):
        """默认参数下 FFmpeg 命令正确."""
        video_file = tmp_path / "test.mp4"
        video_file.write_bytes(b"fake")
        output_file = tmp_path / "cover.jpg"

        with (
            patch(
                "video_processing.cover_generator.probe_video_info",
                return_value=self._probe_video_info_mock(),
            ),
            patch("video_processing.cover_generator.run_ffmpeg") as mock_run,
        ):
            # 让 output_path 在 run_ffmpeg 后存在
            def fake_run(cmd):
                output_file.write_bytes(b"fake jpg")

            mock_run.side_effect = fake_run
            result = CoverGenerator.extract_frame(str(video_file), str(output_file))

        assert result == Path(output_file)
        mock_run.assert_called_once()
        cmd = mock_run.call_args[0][0]

        # 基本结构
        assert cmd[0].endswith("ffmpeg") or "ffmpeg" in cmd[0]
        assert "-y" in cmd
        assert "-vframes" in cmd
        assert cmd[cmd.index("-vframes") + 1] == "1"
        assert "-f" in cmd
        assert "mjpeg" in cmd[cmd.index("-f") + 1]

        # 时间点
        ss_idx = cmd.index("-ss")
        assert float(cmd[ss_idx + 1]) == pytest.approx(DEFAULT_COVER_TIME, abs=0.001)

        # 输入文件
        i_idx = cmd.index("-i")
        assert cmd[i_idx + 1] == str(video_file)

        # 输出文件
        assert cmd[-1] == str(output_file)

        # scale + crop 滤镜
        vf_idx = cmd.index("-vf")
        vf_value = cmd[vf_idx + 1]
        assert "scale=" in vf_value
        assert "crop=" in vf_value
        assert "force_original_aspect_ratio=increase" in vf_value

    def test_custom_time(self, tmp_path):
        """自定义抽帧时间点."""
        video_file = tmp_path / "test.mp4"
        video_file.write_bytes(b"fake")
        output_file = tmp_path / "cover.jpg"

        with (
            patch(
                "video_processing.cover_generator.probe_video_info",
                return_value=self._probe_video_info_mock(duration=30.0),
            ),
            patch("video_processing.cover_generator.run_ffmpeg") as mock_run,
        ):

            def fake_run(cmd):
                output_file.write_bytes(b"fake jpg")

            mock_run.side_effect = fake_run
            CoverGenerator.extract_frame(str(video_file), str(output_file), time_sec=5.5)

        cmd = mock_run.call_args[0][0]
        ss_idx = cmd.index("-ss")
        assert float(cmd[ss_idx + 1]) == pytest.approx(5.5, abs=0.001)

    def test_custom_dimensions(self, tmp_path):
        """自定义输出尺寸."""
        video_file = tmp_path / "test.mp4"
        video_file.write_bytes(b"fake")
        output_file = tmp_path / "cover.jpg"

        with (
            patch(
                "video_processing.cover_generator.probe_video_info",
                return_value=self._probe_video_info_mock(),
            ),
            patch("video_processing.cover_generator.run_ffmpeg") as mock_run,
        ):

            def fake_run(cmd):
                output_file.write_bytes(b"fake jpg")

            mock_run.side_effect = fake_run
            CoverGenerator.extract_frame(str(video_file), str(output_file), width=1920, height=1080)

        cmd = mock_run.call_args[0][0]
        vf_idx = cmd.index("-vf")
        vf_value = cmd[vf_idx + 1]
        assert "scale=1920:1080:" in vf_value
        assert "crop=1920:1080" in vf_value

    def test_custom_quality(self, tmp_path):
        """自定义 JPEG 质量."""
        video_file = tmp_path / "test.mp4"
        video_file.write_bytes(b"fake")
        output_file = tmp_path / "cover.jpg"

        with (
            patch(
                "video_processing.cover_generator.probe_video_info",
                return_value=self._probe_video_info_mock(),
            ),
            patch("video_processing.cover_generator.run_ffmpeg") as mock_run,
        ):

            def fake_run(cmd):
                output_file.write_bytes(b"fake jpg")

            mock_run.side_effect = fake_run
            CoverGenerator.extract_frame(str(video_file), str(output_file), quality=2)

        cmd = mock_run.call_args[0][0]
        q_idx = cmd.index("-q:v")
        assert cmd[q_idx + 1] == "2"

    def test_time_exceeds_duration_clamps_to_midpoint(self, tmp_path):
        """抽帧时间超过视频时长时，钳制到中间帧."""
        video_file = tmp_path / "test.mp4"
        video_file.write_bytes(b"fake")
        output_file = tmp_path / "cover.jpg"

        with (
            patch(
                "video_processing.cover_generator.probe_video_info",
                return_value=self._probe_video_info_mock(duration=5.0),
            ),
            patch("video_processing.cover_generator.run_ffmpeg") as mock_run,
        ):

            def fake_run(cmd):
                output_file.write_bytes(b"fake jpg")

            mock_run.side_effect = fake_run
            CoverGenerator.extract_frame(str(video_file), str(output_file), time_sec=10.0)

        cmd = mock_run.call_args[0][0]
        ss_idx = cmd.index("-ss")
        # 钳制到 duration/2 = 2.5
        assert float(cmd[ss_idx + 1]) == pytest.approx(2.5, abs=0.001)

    def test_negative_time_clamps_to_zero(self, tmp_path):
        """负时间钳制到 0."""
        video_file = tmp_path / "test.mp4"
        video_file.write_bytes(b"fake")
        output_file = tmp_path / "cover.jpg"

        with (
            patch(
                "video_processing.cover_generator.probe_video_info",
                return_value=self._probe_video_info_mock(duration=10.0),
            ),
            patch("video_processing.cover_generator.run_ffmpeg") as mock_run,
        ):

            def fake_run(cmd):
                output_file.write_bytes(b"fake jpg")

            mock_run.side_effect = fake_run
            CoverGenerator.extract_frame(str(video_file), str(output_file), time_sec=-2.0)

        cmd = mock_run.call_args[0][0]
        ss_idx = cmd.index("-ss")
        assert float(cmd[ss_idx + 1]) == pytest.approx(0.0, abs=0.001)

    def test_time_equals_duration_clamps_to_midpoint(self, tmp_path):
        """时间点等于时长时钳制到中间帧."""
        video_file = tmp_path / "test.mp4"
        video_file.write_bytes(b"fake")
        output_file = tmp_path / "cover.jpg"

        with (
            patch(
                "video_processing.cover_generator.probe_video_info",
                return_value=self._probe_video_info_mock(duration=10.0),
            ),
            patch("video_processing.cover_generator.run_ffmpeg") as mock_run,
        ):

            def fake_run(cmd):
                output_file.write_bytes(b"fake jpg")

            mock_run.side_effect = fake_run
            CoverGenerator.extract_frame(str(video_file), str(output_file), time_sec=10.0)

        cmd = mock_run.call_args[0][0]
        ss_idx = cmd.index("-ss")
        assert float(cmd[ss_idx + 1]) == pytest.approx(5.0, abs=0.001)

    def test_zero_duration_video(self, tmp_path):
        """视频时长为 0 时的行为（不钳制，用原始时间）."""
        video_file = tmp_path / "test.mp4"
        video_file.write_bytes(b"fake")
        output_file = tmp_path / "cover.jpg"

        with (
            patch(
                "video_processing.cover_generator.probe_video_info",
                return_value=self._probe_video_info_mock(duration=0.0),
            ),
            patch("video_processing.cover_generator.run_ffmpeg") as mock_run,
        ):

            def fake_run(cmd):
                output_file.write_bytes(b"fake jpg")

            mock_run.side_effect = fake_run
            CoverGenerator.extract_frame(str(video_file), str(output_file), time_sec=0.5)

        cmd = mock_run.call_args[0][0]
        ss_idx = cmd.index("-ss")
        assert float(cmd[ss_idx + 1]) == pytest.approx(0.5, abs=0.001)

    def test_video_not_found_raises(self, tmp_path):
        """视频文件不存在时抛出 FileNotFoundError."""
        output_file = tmp_path / "cover.jpg"

        with pytest.raises(FileNotFoundError):
            CoverGenerator.extract_frame(str(tmp_path / "nonexistent.mp4"), str(output_file))

    def test_output_creates_parent_dir(self, tmp_path):
        """输出目录不存在时自动创建."""
        video_file = tmp_path / "test.mp4"
        video_file.write_bytes(b"fake")
        out_dir = tmp_path / "deep" / "nested"
        output_file = out_dir / "cover.jpg"

        with (
            patch(
                "video_processing.cover_generator.probe_video_info",
                return_value=self._probe_video_info_mock(),
            ),
            patch("video_processing.cover_generator.run_ffmpeg") as mock_run,
        ):

            def fake_run(cmd):
                output_file.write_bytes(b"fake jpg")

            mock_run.side_effect = fake_run
            CoverGenerator.extract_frame(str(video_file), str(output_file))

        assert out_dir.exists()
        assert out_dir.is_dir()

    def test_ffmpeg_failure_propagates(self, tmp_path):
        """FFmpeg 失败时异常向上传递."""
        video_file = tmp_path / "test.mp4"
        video_file.write_bytes(b"fake")
        output_file = tmp_path / "cover.jpg"

        with (
            patch(
                "video_processing.cover_generator.probe_video_info",
                return_value=self._probe_video_info_mock(),
            ),
            patch(
                "video_processing.cover_generator.run_ffmpeg",
                side_effect=RuntimeError("FFmpeg error"),
            ),
        ):
            with pytest.raises(RuntimeError, match="FFmpeg error"):
                CoverGenerator.extract_frame(str(video_file), str(output_file))


class TestSmartCoverTimePoints:
    """智能封面时间点计算测试."""

    def test_single_frame_falls_back_to_default(self, tmp_path):
        """只有 1 帧时退化为普通抽帧（取 DEFAULT_COVER_TIME 和 midpoint 中较小值）."""
        video_file = tmp_path / "test.mp4"
        video_file.write_bytes(b"fake")
        output_file = tmp_path / "cover.jpg"

        with (
            patch(
                "video_processing.cover_generator.probe_video_info",
                return_value={"duration": 20.0},
            ),
            patch("video_processing.cover_generator.run_ffmpeg") as mock_run,
        ):

            def fake_run(cmd):
                output_file.write_bytes(b"fake jpg")

            mock_run.side_effect = fake_run
            # frame_count=1 时退化为普通抽帧
            CoverGenerator.extract_smart_cover(str(video_file), str(output_file), frame_count=1)

        # 只调用一次（退化路径）
        assert mock_run.call_count == 1
        cmd = mock_run.call_args[0][0]
        ss_idx = cmd.index("-ss")
        # min(DEFAULT_COVER_TIME=1.0, duration/2=10.0) = 1.0
        assert float(cmd[ss_idx + 1]) == pytest.approx(1.0, abs=0.001)

    def test_zero_duration_falls_back(self, tmp_path):
        """视频时长为 0 时退化为普通抽帧."""
        video_file = tmp_path / "test.mp4"
        video_file.write_bytes(b"fake")
        output_file = tmp_path / "cover.jpg"

        with (
            patch(
                "video_processing.cover_generator.probe_video_info",
                return_value={"duration": 0.0},
            ),
            patch("video_processing.cover_generator.run_ffmpeg") as mock_run,
        ):

            def fake_run(cmd):
                output_file.write_bytes(b"fake jpg")

            mock_run.side_effect = fake_run
            CoverGenerator.extract_smart_cover(str(video_file), str(output_file))

        # 只调用一次（退化路径）
        assert mock_run.call_count == 1

    def test_three_frames_uniform_distribution(self, tmp_path):
        """3 帧均匀分布在 5%~95% 区间."""
        video_file = tmp_path / "test.mp4"
        video_file.write_bytes(b"fake")
        output_file = tmp_path / "cover.jpg"

        call_times = []

        with (
            patch(
                "video_processing.cover_generator.probe_video_info",
                return_value={"duration": 100.0},
            ),
            patch("video_processing.cover_generator.run_ffmpeg") as mock_run,
        ):

            def fake_run(cmd):
                # 记录抽帧时间
                ss_idx = cmd.index("-ss")
                call_times.append(float(cmd[ss_idx + 1]))
                # 在输出路径写文件
                output_arg = cmd[-1]
                Path(output_arg).parent.mkdir(parents=True, exist_ok=True)
                # 不同文件大小，让第三帧"最清晰"
                idx = len(call_times) - 1
                size = 1000 * (idx + 1)  # 递增的文件大小
                Path(output_arg).write_bytes(b"x" * size)

            mock_run.side_effect = fake_run
            CoverGenerator.extract_smart_cover(str(video_file), str(output_file))

        # 3 帧：5%、50%、95%
        assert len(call_times) == 3
        assert call_times[0] == pytest.approx(5.0, abs=0.1)  # 5%
        assert call_times[1] == pytest.approx(50.0, abs=0.1)  # 50%
        assert call_times[2] == pytest.approx(95.0, abs=0.1)  # 95%

    def test_five_frames_distribution(self, tmp_path):
        """5 帧均匀分布."""
        video_file = tmp_path / "test.mp4"
        video_file.write_bytes(b"fake")
        output_file = tmp_path / "cover.jpg"

        call_times = []

        with (
            patch(
                "video_processing.cover_generator.probe_video_info",
                return_value={"duration": 100.0},
            ),
            patch("video_processing.cover_generator.run_ffmpeg") as mock_run,
        ):

            def fake_run(cmd):
                ss_idx = cmd.index("-ss")
                call_times.append(float(cmd[ss_idx + 1]))
                output_arg = cmd[-1]
                Path(output_arg).parent.mkdir(parents=True, exist_ok=True)
                idx = len(call_times) - 1
                Path(output_arg).write_bytes(b"x" * (1000 * (idx + 1)))

            mock_run.side_effect = fake_run
            CoverGenerator.extract_smart_cover(str(video_file), str(output_file), frame_count=5)

        assert len(call_times) == 5
        # step = (95-5) / (5-1) = 22.5
        # times: 5, 27.5, 50, 72.5, 95
        assert call_times[0] == pytest.approx(5.0, abs=0.1)
        assert call_times[1] == pytest.approx(27.5, abs=0.1)
        assert call_times[2] == pytest.approx(50.0, abs=0.1)
        assert call_times[3] == pytest.approx(72.5, abs=0.1)
        assert call_times[4] == pytest.approx(95.0, abs=0.1)

    def test_selects_largest_file_as_best(self, tmp_path):
        """选择文件最大的帧作为最佳封面（清晰度近似）."""
        video_file = tmp_path / "test.mp4"
        video_file.write_bytes(b"fake")
        output_file = tmp_path / "cover.jpg"

        sizes = [5000, 15000, 8000]  # 第二帧最大

        with (
            patch(
                "video_processing.cover_generator.probe_video_info",
                return_value={"duration": 100.0},
            ),
            patch("video_processing.cover_generator.run_ffmpeg") as mock_run,
        ):
            call_idx = [0]

            def fake_run(cmd):
                output_arg = cmd[-1]
                Path(output_arg).parent.mkdir(parents=True, exist_ok=True)
                idx = call_idx[0]
                Path(output_arg).write_bytes(b"x" * sizes[idx])
                call_idx[0] += 1

            mock_run.side_effect = fake_run
            result = CoverGenerator.extract_smart_cover(str(video_file), str(output_file))

        # 第二帧（索引1）应该是最佳
        assert result == output_file
        # 输出文件大小应等于第二帧大小
        assert output_file.stat().st_size == 15000


class TestProcessCustomCover:
    """自定义封面处理测试."""

    def test_custom_cover_resize_command(self, tmp_path):
        """自定义封面调整尺寸命令正确."""
        input_file = tmp_path / "upload.jpg"
        input_file.write_bytes(b"fake")
        output_file = tmp_path / "cover.jpg"

        with patch("video_processing.cover_generator.run_ffmpeg") as mock_run:

            def fake_run(cmd):
                output_file.write_bytes(b"fake jpg")

            mock_run.side_effect = fake_run
            CoverGenerator.process_custom_cover(str(input_file), str(output_file))

        mock_run.assert_called_once()
        cmd = mock_run.call_args[0][0]

        assert "-i" in cmd
        assert cmd[cmd.index("-i") + 1] == str(input_file)
        assert cmd[-1] == str(output_file)

        # scale + crop
        vf_idx = cmd.index("-vf")
        vf_value = cmd[vf_idx + 1]
        assert "scale=" in vf_value
        assert "crop=" in vf_value

    def test_custom_cover_not_found_raises(self, tmp_path):
        """自定义封面文件不存在时抛出 FileNotFoundError."""
        output_file = tmp_path / "cover.jpg"

        with pytest.raises(FileNotFoundError):
            CoverGenerator.process_custom_cover(str(tmp_path / "nonexistent.jpg"), str(output_file))

    def test_custom_cover_custom_dimensions(self, tmp_path):
        """自定义封面自定义输出尺寸."""
        input_file = tmp_path / "upload.jpg"
        input_file.write_bytes(b"fake")
        output_file = tmp_path / "cover.jpg"

        with patch("video_processing.cover_generator.run_ffmpeg") as mock_run:

            def fake_run(cmd):
                output_file.write_bytes(b"fake jpg")

            mock_run.side_effect = fake_run
            CoverGenerator.process_custom_cover(str(input_file), str(output_file), width=800, height=600)

        cmd = mock_run.call_args[0][0]
        vf_idx = cmd.index("-vf")
        vf_value = cmd[vf_idx + 1]
        assert "scale=800:600:" in vf_value
        assert "crop=800:600" in vf_value