xiaoxia-saas/tests/unit/test_lipsync_speed_optimization.py

"""AI 数字人口型视频生成速度优化 — 单元测试.

验证两个优化点：
1. FFmpeg 编码 preset 从 fast 改为 veryfast（提速 30~50%）
2. TTS 合成从同步改为 Celery 异步任务（API 响应从 6~35s 降到 <1s）

Issue: lipsync-speed-optimization
"""

import os
from unittest.mock import MagicMock, patch

import pytest

os.environ.setdefault("JWT_SECRET_KEY", "dev-secret-key-for-testing")


# ═══════════════════════════════════════════════════════════════════════════════
# 优化1: FFmpeg 编码提速 — preset veryfast
# ═══════════════════════════════════════════════════════════════════════════════


class TestFFmpegPresetOptimization:
    """验证 FFmpeg 编码命令从 -preset fast 改为 -preset veryfast."""

    def test_preset_is_veryfast(self):
        """_build_ffmpeg_command 输出必须包含 -preset veryfast."""
        from app.services.ai_avatar_render_service import AiAvatarRenderService

        svc = AiAvatarRenderService.__new__(AiAvatarRenderService)
        cmd = svc._build_ffmpeg_command(
            input_video="https://example.com/video.mp4",
            b_roll_segments=[],
            filter_complex="",
            final_label=None,
            output_path="/tmp/output.mp4",
        )
        assert "-preset veryfast" in cmd, f"期望 -preset veryfast，实际命令: {cmd}"

    def test_preset_veryfast_with_filter(self):
        """带滤镜场景下也必须使用 veryfast."""
        from app.services.ai_avatar_render_service import AiAvatarRenderService

        svc = AiAvatarRenderService.__new__(AiAvatarRenderService)
        cmd = svc._build_ffmpeg_command(
            input_video="https://example.com/video.mp4",
            b_roll_segments=[],
            filter_complex="overlay=0:0",
            final_label="[v]",
            output_path="/tmp/output.mp4",
        )
        assert "-preset veryfast" in cmd
        assert "-filter_complex" in cmd

    def test_preset_not_fast(self):
        """确保不再使用旧的 -preset fast."""
        from app.services.ai_avatar_render_service import AiAvatarRenderService

        svc = AiAvatarRenderService.__new__(AiAvatarRenderService)
        cmd = svc._build_ffmpeg_command(
            input_video="https://example.com/video.mp4",
            b_roll_segments=[],
            filter_complex="",
            final_label=None,
            output_path="/tmp/output.mp4",
        )
        # 确保是 veryfast 而不是 fast
        assert "-preset veryfast" in cmd
        # 排除 "fast" 单独出现（veryfast 包含 fast 子串，需精确判断）
        parts = cmd.split()
        preset_idx = parts.index("-preset")
        assert parts[preset_idx + 1] == "veryfast"


# ═══════════════════════════════════════════════════════════════════════════════
# 优化2: TTS 合成 Celery 异步化
# ═══════════════════════════════════════════════════════════════════════════════


def _make_service_with_mocks():
    """构造 LipsyncService 测试实例及 mock 依赖."""
    from app.services.lipsync_service import LipsyncService

    db = MagicMock()
    client = MagicMock()
    client.is_available = True
    client.submit_lipsync.return_value = {
        "success": True,
        "task_id": "mk-1",
        "request_id": "req-1",
    }
    cosy = MagicMock()
    cosy.submit_synthesize_task.return_value = {
        "audio_url": "https://tts/raw.mp3",
        "request_id": "tts-req",
        "audio_duration": 3.0,
    }
    svc = LipsyncService(db, client=client, cosyvoice_service=cosy, voice_clone_repo=MagicMock())
    # _resolve_voice_id 默认原样返回（repo.get 返回 None）
    svc._voice_clone_repo.get.return_value = None
    return svc, client, cosy


class TestCreateJobAsyncTTS:
    """验证 TTS 模式改为 Celery 异步后的行为."""

    def test_tts_mode_returns_tts_processing_status(self):
        """TTS 模式下 create_job 立即返回，状态为 tts_processing."""
        svc, client, cosy = _make_service_with_mocks()

        with patch("app.services.lipsync_service.tts_synthesize_and_submit") as mock_task:
            mock_task.apply_async = MagicMock()

            job = svc.create_job(
                user_id="user-1",
                video_url="https://example.com/video.mp4",
                voice_id="longxiaochun_v3",
                script_text="大家好",
                speed=1.0,
                emotion="",
            )

        assert job.status == "tts_processing"

    def test_tts_mode_dispatches_celery_task(self):
        """TTS 模式必须 dispatch Celery 异步任务."""
        svc, client, cosy = _make_service_with_mocks()

        with patch("app.services.lipsync_service.tts_synthesize_and_submit") as mock_task:
            mock_task.apply_async = MagicMock()

            svc.create_job(
                user_id="user-1",
                video_url="https://example.com/video.mp4",
                voice_id="v-1",
                script_text="测试文本",
            )

        mock_task.apply_async.assert_called_once()
        call_kwargs = mock_task.apply_async.call_args
        args = call_kwargs.kwargs.get("args") or call_kwargs[1].get("args", call_kwargs[0][0] if call_kwargs[0] else ())
        assert args[1] == "user-1"  # user_id
        assert args[2] == "v-1"  # voice_id
        assert args[3] == "测试文本"  # script_text

    def test_tts_mode_celery_dispatch_failure_still_creates_job(self):
        """Celery dispatch 失败时，job 记录已创建，状态保持 tts_processing."""
        svc, client, cosy = _make_service_with_mocks()

        with patch("app.services.lipsync_service.tts_synthesize_and_submit") as mock_task:
            mock_task.apply_async = MagicMock(side_effect=Exception("Celery broker down"))

            job = svc.create_job(
                user_id="user-1",
                video_url="https://example.com/video.mp4",
                voice_id="v-1",
                script_text="测试文本",
            )

        # job 已创建
        assert job is not None
        assert job.status == "tts_processing"
        # MediaKit 未被调用
        client.submit_lipsync.assert_not_called()

    def test_tts_mode_voice_validation_still_sync(self):
        """TTS 模式下音色校验仍在 HTTP 请求中同步执行."""
        from app.services.mediakit_client import MediaKitError

        svc, client, cosy = _make_service_with_mocks()
        # 模拟音色属于其他用户
        other_profile = MagicMock()
        other_profile.user_id = "user-other"
        svc._voice_clone_repo.get.return_value = other_profile

        with patch("app.tasks.lipsync_tts.tts_synthesize_and_submit"):
            with pytest.raises(MediaKitError) as exc:
                svc.create_job(
                    user_id="user-1",
                    video_url="https://example.com/video.mp4",
                    voice_id="clone-profile-id",
                    script_text="测试",
                )
        assert exc.value.code == "VoiceForbidden"

    def test_tts_mode_missing_input_raises_immediately(self):
        """缺少 voice_id 或 script_text 时立即报错，不 dispatch Celery 任务."""
        from app.services.mediakit_client import MediaKitError

        svc, client, cosy = _make_service_with_mocks()

        with patch("app.tasks.lipsync_tts.tts_synthesize_and_submit") as mock_task:
            mock_task.delay = MagicMock()

            with pytest.raises(MediaKitError) as exc:
                svc.create_job(
                    user_id="user-1",
                    video_url="https://example.com/video.mp4",
                    # 缺少 voice_id 和 script_text
                )
            assert exc.value.code == "InvalidInput"

        # Celery 任务未被 dispatch
        mock_task.delay.assert_not_called()
        # TTS 和 MediaKit 均未调用
        cosy.submit_synthesize_task.assert_not_called()
        client.submit_lipsync.assert_not_called()


class TestCreateJobDirectAudio:
    """验证直接音频模式不受异步化影响."""

    def test_direct_audio_still_submits_synchronously(self):
        """直接音频模式仍然同步提交 MediaKit，状态为 submitted."""
        svc, client, cosy = _make_service_with_mocks()

        with patch("app.tasks.lipsync_tts.tts_synthesize_and_submit") as mock_task:
            mock_task.delay = MagicMock()

            job = svc.create_job(
                user_id="user-1",
                video_url="https://example.com/video.mp4",
                audio_url="https://example.com/audio.mp3",
            )

        assert job.status == "submitted"
        assert job.mediakit_task_id == "mk-1"
        client.submit_lipsync.assert_called_once()
        # TTS Celery 任务不应被调用
        mock_task.delay.assert_not_called()

    def test_direct_audio_skips_tts(self):
        """直接音频模式不调用 CosyVoice TTS."""
        svc, client, cosy = _make_service_with_mocks()

        job = svc.create_job(
            user_id="user-1",
            video_url="https://example.com/video.mp4",
            audio_url="https://example.com/audio.mp3",
        )

        cosy.submit_synthesize_task.assert_not_called()
        call_kwargs = client.submit_lipsync.call_args
        assert call_kwargs.kwargs["audio_url"] == "https://example.com/audio.mp3"


class TestCancelJobTtsProcessing:
    """验证 tts_processing 状态的任务可以被取消."""

    def test_cancel_tts_processing(self):
        """tts_processing 状态的任务可以成功取消."""
        svc, client, cosy = _make_service_with_mocks()

        mock_job = MagicMock()
        mock_job.status = "tts_processing"
        mock_job.id = "job-1"
        svc.get_job = MagicMock(return_value=mock_job)

        result = svc.cancel_job("job-1", "user-1")
        assert result.status == "cancelled"

    def test_cancel_pending_still_works(self):
        """pending 状态仍可取消."""
        svc, client, cosy = _make_service_with_mocks()

        mock_job = MagicMock()
        mock_job.status = "pending"
        mock_job.id = "job-1"
        svc.get_job = MagicMock(return_value=mock_job)

        result = svc.cancel_job("job-1", "user-1")
        assert result.status == "cancelled"

    def test_cancel_submitted_still_works(self):
        """submitted 状态仍可取消."""
        svc, client, cosy = _make_service_with_mocks()

        mock_job = MagicMock()
        mock_job.status = "submitted"
        mock_job.id = "job-1"
        svc.get_job = MagicMock(return_value=mock_job)

        result = svc.cancel_job("job-1", "user-1")
        assert result.status == "cancelled"