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xiaoxia-bot 91509d7b6b fix: 合并重复的mix_audio调用(BGM+降噪合并为一次)
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2026-07-14 10:47:35 +08:00
xiaoxia-bot 4d137a5836 chore: black + isort 格式化
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2026-07-14 10:41:58 +08:00
CI Bot 492ae582e8 feat: 绿幕抠像 + 音频降噪引擎
新增两个渲染能力:

【绿幕抠像 ChromaKeyEngine】
- 基于 FFmpeg colorkey 滤镜,支持绿幕/蓝幕/红幕
- 可配置:抠除颜色、相似度、边缘平滑、溢色抑制
- 5种预设:green_screen/blue_screen/red_screen/precise_green/soft_green
- 从 clip.config.chroma_key 读取配置,零侵入数据模型
- 降级策略:参数越界自动钳制,解析失败不阻断渲染

【音频降噪 NoiseReductionEngine】
- 基于 FFmpeg afftdn 滤镜(短时傅里叶变换降噪)
- 3档预设:低/中/高 + 自定义阈值(-60~-5 dB)
- 人声增强模式:highpass + compressor + loudnorm
- 从 plan.config.audio_noise_reduction 读取配置
- 降级策略:参数越界自动钳制,降噪失败用原始音频

【系统集成】
- 绿幕抠像:UnifiedRenderService Step 1 接入(scale之后,fps之前)
  - 支持 filter_complex 路径 + 直通模式 双路径
- 音频降噪:后处理模式,在 mix_audio 最终输出前应用
  - filter_complex 路径通过 RenderContext 传递配置
  - 直通模式通过 -af 参数应用

69个新增单测 + 1435个现有测试 = 1504个全绿,零回归
2026-07-14 10:41:58 +08:00
5 changed files with 1118 additions and 4 deletions
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"""绿幕抠像引擎 — 基于 FFmpeg colorkey / chromakey 滤镜.
支持将指定颜色(默认绿色)变为透明,可用于虚拟背景、画中画背景替换等场景。
使用方式:
config = ChromaKeyConfig(key_color="#00FF00", similarity=0.3, blend=0.1)
engine = ChromaKeyEngine(config)
filter_str = engine.build_filter(input_label, output_label)
# 结果: [in]colorkey=color=0x00FF00:similarity=0.3:blend=0.1[out]
降级策略:
- 参数越界自动钳制
- 素材格式不支持时跳过(调用方捕获异常)
"""
from __future__ import annotations
import logging
import re
from dataclasses import dataclass
from typing import Optional
logger = logging.getLogger(__name__)
# ── 配置模型 ──────────────────────────────────────────────────────────────────
@dataclass
class ChromaKeyConfig:
"""绿幕抠像配置。
Attributes:
enabled: 是否启用抠像
key_color: 要抠除的颜色,支持 hex 格式(如 "#00FF00")或颜色名
similarity: 颜色相似度阈值 0.01~1.0,值越大抠除范围越大
blend: 边缘平滑/混合度 0.0~1.0,值越大边缘越柔和
spill_suppress: 溢色抑制 0.0~1.0,减少边缘的绿幕反光
"""
enabled: bool = False
key_color: str = "#00FF00"
similarity: float = 0.3
blend: float = 0.1
spill_suppress: float = 0.0
@classmethod
def from_dict(cls, data: dict | None) -> "ChromaKeyConfig":
"""从字典解析配置,参数越界自动钳制。"""
if not data or not data.get("enabled", False):
return cls(enabled=False)
key_color = str(data.get("key_color", "#00FF00")).strip()
def _safe_float(val, default):
try:
return float(val)
except (TypeError, ValueError):
return default
similarity = _safe_float(data.get("similarity", 0.3), 0.3)
blend = _safe_float(data.get("blend", 0.1), 0.1)
spill_suppress = _safe_float(data.get("spill_suppress", 0.0), 0.0)
# 钳制到合法范围
similarity = max(0.01, min(1.0, similarity))
blend = max(0.0, min(1.0, blend))
spill_suppress = max(0.0, min(1.0, spill_suppress))
return cls(
enabled=True,
key_color=key_color,
similarity=similarity,
blend=blend,
spill_suppress=spill_suppress,
)
def has_effect(self) -> bool:
"""判断是否有实际抠像效果。"""
return self.enabled and self.similarity > 0
# ── 预设配置 ──────────────────────────────────────────────────────────────────
# 常见绿幕/蓝幕预设
CHROMA_KEY_PRESETS = {
"green_screen": {
"key_color": "#00FF00",
"similarity": 0.3,
"blend": 0.1,
"spill_suppress": 0.5,
},
"blue_screen": {
"key_color": "#0000FF",
"similarity": 0.3,
"blend": 0.1,
"spill_suppress": 0.5,
},
"red_screen": {
"key_color": "#FF0000",
"similarity": 0.3,
"blend": 0.1,
"spill_suppress": 0.0,
},
"precise_green": {
"key_color": "#00FF00",
"similarity": 0.2,
"blend": 0.05,
"spill_suppress": 0.3,
},
"soft_green": {
"key_color": "#00FF00",
"similarity": 0.45,
"blend": 0.2,
"spill_suppress": 0.5,
},
}
# ── 引擎实现 ──────────────────────────────────────────────────────────────────
class ChromaKeyEngine:
"""绿幕抠像引擎。
基于 FFmpeg colorkey 滤镜实现,将指定颜色变为透明。
适用于绿幕/蓝幕视频的背景去除,配合画中画或 overlay 实现虚拟背景。
"""
def __init__(self, config: ChromaKeyConfig):
self.config = config
@staticmethod
def _normalize_color(color_str: str) -> str:
"""将颜色字符串转为 FFmpeg colorkey 接受的格式。
支持:
- "#RRGGBB" / "#RRGGBBAA" → 0xRRGGBB
- "0xRRGGBB" → 直接使用
- 颜色名(green/blue/red/black/white 等)→ 直接透传
"""
color = color_str.strip()
# hex 格式
hex_match = re.match(r"^#?([0-9a-fA-F]{6})([0-9a-fA-F]{2})?$", color)
if hex_match:
return f"0x{hex_match.group(1).upper()}"
# 已经是 0x 格式
if color.lower().startswith("0x"):
return color.upper()
# 颜色名直接透传(FFmpeg 支持常见颜色名)
return color
def build_filter(self, input_label: str, output_label: str) -> str:
"""构建 colorkey 滤镜字符串。
Args:
input_label: 输入标签,如 "[0:v]""[v0]"
output_label: 输出标签,如 "[ck0]"
Returns:
FFmpeg 滤镜字符串,如 "[v0]colorkey=color=0x00FF00:similarity=0.3:blend=0.1[ck0]"
Raises:
ValueError: 配置无效时抛出(调用方应捕获并降级)
"""
if not self.config.has_effect():
# 无效果,直接直通
return f"{input_label}copy{output_label}"
color = self._normalize_color(self.config.key_color)
similarity = self.config.similarity
blend = self.config.blend
# 基础 colorkey 滤镜
parts = [f"colorkey=color={color}:similarity={similarity}:blend={blend}"]
# 溢色抑制(通过 colorchannelmixer 降低绿色通道增益)
if self.config.spill_suppress > 0:
# 降低绿通道增益,减少绿幕反光溢出
spill = self.config.spill_suppress
# 绿通道增益 = 1 - spill_factor
g_gain = max(0.3, 1.0 - spill * 0.7)
# 同时稍微提升红和蓝来补偿色偏
r_gain = 1.0 + spill * 0.15
b_gain = 1.0 + spill * 0.15
parts.append(f"colorchannelmixer=" f"rr={r_gain}:" f"gg={g_gain}:" f"bb={b_gain}:" f"aa=1")
filter_str = f"{input_label}{','.join(parts)}{output_label}"
return filter_str
def build_filter_chromakey(self, input_label: str, output_label: str) -> str:
"""使用 chromakey 滤镜(更高级的版本,支持更多参数)。
注意:并非所有 FFmpeg 版本都支持 chromakey 滤镜,
优先使用 colorkey(兼容性更好)。
Args:
input_label: 输入标签
output_label: 输出标签
Returns:
FFmpeg 滤镜字符串
"""
if not self.config.has_effect():
return f"{input_label}copy{output_label}"
color = self._normalize_color(self.config.key_color)
similarity = self.config.similarity
blend = self.config.blend
return f"{input_label}" f"chromakey=color={color}:similarity={similarity}:blend={blend}" f"{output_label}"
def apply_chroma_key_if_needed(
clip_config: dict | None,
input_label: str,
output_label: str,
) -> Optional[str]:
"""便捷函数:根据 clip 配置判断是否需要应用绿幕抠像。
Args:
clip_config: clip 的 config 字典
input_label: 输入标签
output_label: 输出标签
Returns:
滤镜字符串,不需要抠像时返回 None
"""
if not clip_config:
return None
chroma_key_data = clip_config.get("chroma_key")
if not chroma_key_data:
return None
try:
config = ChromaKeyConfig.from_dict(chroma_key_data)
if not config.has_effect():
return None
engine = ChromaKeyEngine(config)
return engine.build_filter(input_label, output_label)
except Exception as e:
logger.warning("[chroma-key] 应用抠像失败,跳过: %s", e)
return None
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"""音频降噪引擎 — 基于 FFmpeg afftdn 滤镜.
支持对音频进行背景噪音消除、人声增强,适用于语音录制、采访等场景。
使用方式:
config = NoiseReductionConfig(level="medium")
engine = NoiseReductionEngine(config)
filter_str = engine.build_filter(input_label, output_label)
# 结果: [0:a]afftdn=nf=-25[out]
降级策略:
- 参数越界自动钳制
- FFmpeg 不支持 afftdn 时,调用方可捕获异常并跳过
"""
from __future__ import annotations
import logging
from dataclasses import dataclass
from enum import Enum
from typing import Optional
logger = logging.getLogger(__name__)
# ── 降噪等级 ──────────────────────────────────────────────────────────────────
class NoiseReductionLevel(str, Enum):
"""降噪等级预设。"""
LOW = "low" # 轻度降噪,保留细节,适合轻微背景噪音
MEDIUM = "medium" # 中度降噪,平衡效果和音质
HIGH = "high" # 高度降噪,适合嘈杂环境,可能轻微影响音质
CUSTOM = "custom" # 自定义参数
# 各等级对应的降噪参数(afftdn 的 noise floor,单位 dB
# 值越大(越接近 0),降噪越强;值越小(越负),降噪越弱
_LEVEL_PARAMS = {
NoiseReductionLevel.LOW: {
"nf": -35, # 噪音阈值(dB),越负越保守
"tn": -10, # 噪音频谱平滑度
"tr": 50, # 时间分辨率(ms
},
NoiseReductionLevel.MEDIUM: {
"nf": -25,
"tn": -10,
"tr": 50,
},
NoiseReductionLevel.HIGH: {
"nf": -15,
"tn": -5,
"tr": 30,
},
}
# ── 配置模型 ──────────────────────────────────────────────────────────────────
@dataclass
class NoiseReductionConfig:
"""音频降噪配置。
Attributes:
enabled: 是否启用降噪
level: 降噪等级 low/medium/high/custom
noise_floor: 自定义噪音阈值(dB),仅 level=custom 时有效,范围 -60 ~ -5
voice_enhance: 是否启用人声增强
output_format: 输出格式描述(内部使用)
"""
enabled: bool = False
level: NoiseReductionLevel = NoiseReductionLevel.MEDIUM
noise_floor: float = -25.0 # dB
voice_enhance: bool = False
@classmethod
def from_dict(cls, data: dict | None) -> "NoiseReductionConfig":
"""从字典解析配置,参数越界自动钳制。"""
if not data or not data.get("enabled", False):
return cls(enabled=False)
level_str = str(data.get("level", "medium")).lower()
try:
level = NoiseReductionLevel(level_str)
except ValueError:
level = NoiseReductionLevel.MEDIUM
try:
noise_floor = float(data.get("noise_floor", -25.0))
except (TypeError, ValueError):
noise_floor = -25.0
voice_enhance = bool(data.get("voice_enhance", False))
# 钳制到合法范围
noise_floor = max(-60.0, min(-5.0, noise_floor))
return cls(
enabled=True,
level=level,
noise_floor=noise_floor,
voice_enhance=voice_enhance,
)
def has_effect(self) -> bool:
"""判断是否有实际降噪效果。"""
return self.enabled
def get_effective_noise_floor(self) -> float:
"""获取实际生效的噪音阈值(dB)。"""
if self.level == NoiseReductionLevel.CUSTOM:
return self.noise_floor
params = _LEVEL_PARAMS.get(self.level, _LEVEL_PARAMS[NoiseReductionLevel.MEDIUM])
return float(params["nf"])
# ── 引擎实现 ──────────────────────────────────────────────────────────────────
class NoiseReductionEngine:
"""音频降噪引擎。
基于 FFmpeg afftdnAudio FFt Denoiser)滤镜实现:
- 使用短时傅里叶变换分析音频频谱
- 识别并消除稳态背景噪音
- 保留人声等非稳态信号
"""
def __init__(self, config: NoiseReductionConfig):
self.config = config
def build_filter(self, input_label: str, output_label: str) -> str:
"""构建音频降噪滤镜字符串。
Args:
input_label: 输入标签,如 "[0:a]""[a0]"
output_label: 输出标签,如 "[nr0]"
Returns:
FFmpeg 滤镜字符串,如 "[a0]afftdn=nf=-25:tn=-10:tr=50[nr0]"
Raises:
ValueError: 配置无效时抛出(调用方应捕获并降级)
"""
if not self.config.has_effect():
return f"{input_label}anull{output_label}"
# 获取参数
if self.config.level == NoiseReductionLevel.CUSTOM:
nf = self.config.noise_floor
tn = -10 # 默认频谱平滑度
tr = 50 # 默认时间分辨率
else:
params = _LEVEL_PARAMS.get(
self.config.level,
_LEVEL_PARAMS[NoiseReductionLevel.MEDIUM],
)
nf = float(params["nf"])
tn = float(params["tn"])
tr = float(params["tr"])
# 构建 afftdn 滤镜
# nf: noise floor (dB)
# tn: temporal noise floor smoothing (dB)
# tr: time resolution (ms)
filter_parts = [f"afftdn=nf={nf}:tn={tn}:tr={tr}"]
# 人声增强:通过 highpass + 轻微压缩实现
if self.config.voice_enhance:
# 1. 高通滤波,去除低频噪音
filter_parts.append("highpass=f=80")
# 2. 轻微压缩,提升人声清晰度
filter_parts.append("acompressor=threshold=-20:ratio=2:attack=5:release=50")
# 3. 响度归一化
filter_parts.append("loudnorm=I=-16:TP=-1.5:LRA=11")
filter_str = f"{input_label}{','.join(filter_parts)}{output_label}"
return filter_str
def build_filter_arnndn(self, input_label: str, output_label: str, model_file: str) -> str:
"""使用 RNN 降噪滤镜(arnndn,效果更好但需要模型文件)。
注意:需要额外下载 RNNNoise 模型文件,默认使用 afftdn(无需额外依赖)。
Args:
input_label: 输入标签
output_label: 输出标签
model_file: RNNNoise 模型文件路径(.rnnn 格式)
Returns:
FFmpeg 滤镜字符串
"""
if not self.config.has_effect():
return f"{input_label}anull{output_label}"
return f"{input_label}arnndn=m={model_file}{output_label}"
def apply_noise_reduction_if_needed(
config_data: dict | None,
input_label: str,
output_label: str,
) -> Optional[str]:
"""便捷函数:根据配置判断是否需要应用音频降噪。
Args:
config_data: 降噪配置字典(从 plan.config.audio_noise_reduction 或 clip.config.noise_reduction 读取)
input_label: 输入标签
output_label: 输出标签
Returns:
滤镜字符串,不需要降噪时返回 None
"""
if not config_data:
return None
try:
config = NoiseReductionConfig.from_dict(config_data)
if not config.has_effect():
return None
engine = NoiseReductionEngine(config)
return engine.build_filter(input_label, output_label)
except Exception as e:
logger.warning("[noise-reduction] 应用降噪失败,跳过: %s", e)
return None
+51 -3
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@@ -35,6 +35,8 @@ class RenderContext:
work_dir: Path
plan_id: str
# 音频降噪配置(全局,对最终混音结果应用)
noise_reduction_config: dict | None = None
# 音频探测缓存(避免同一 clip 被多次 ffprobe
_audio_cache: dict[str, bool] = field(default_factory=dict)
@@ -153,12 +155,58 @@ def mix_audio(
try:
# 这里 main_audio 就是 output_path,先有主音频再混 BGM
final_path = mix_bgm_with_main(ctx, output_path, bgm_cfg, video_duration)
return final_path
return _apply_noise_reduction_if_needed(ctx, final_path)
except Exception:
logger.exception("[bgm] BGM 混音失败,回退到无 BGM 音频: plan_id=%s", ctx.plan_id)
return output_path
return _apply_noise_reduction_if_needed(ctx, output_path)
return output_path
return _apply_noise_reduction_if_needed(ctx, output_path)
def _apply_noise_reduction_if_needed(ctx: RenderContext, audio_path: Path) -> Path:
"""如果配置了音频降噪,对已生成的音频文件应用降噪。
作为后处理步骤,对最终混音结果统一降噪。
失败时返回原始文件路径,不阻断主流程。
"""
if not ctx.noise_reduction_config:
return audio_path
try:
from video_processing.noise_reduction_engine import NoiseReductionConfig, NoiseReductionEngine
config = NoiseReductionConfig.from_dict(ctx.noise_reduction_config)
if not config.has_effect():
return audio_path
engine = NoiseReductionEngine(config)
filter_str = engine.build_filter("[0:a]", "[out]")
# 提取滤镜部分(不带标签)
filter_part = filter_str[len("[0:a]") : -len("[out]")]
nr_output_path = audio_path.with_name(f"{audio_path.stem}_nr.aac")
command = [
FFMPEG_BIN,
"-y",
"-i",
str(audio_path),
"-af",
filter_part,
"-acodec",
"aac",
"-b:a",
"128k",
str(nr_output_path),
]
run_ffmpeg(command)
if nr_output_path.exists():
return nr_output_path
logger.warning("[noise-reduction] 降噪输出文件不存在,使用原始音频")
return audio_path
except Exception as e:
logger.warning("[noise-reduction] 音频降噪失败,使用原始音频: %s", e)
return audio_path
def concat_main_audio(
@@ -28,6 +28,7 @@ from dataclasses import dataclass, field
from pathlib import Path
from typing import Any
from video_processing.chroma_key_engine import apply_chroma_key_if_needed
from video_processing.color_grade_engine import ColorGradeConfig, ColorGradeEngine
from video_processing.ffmpeg_utils import (
DEFAULT_FPS,
@@ -329,9 +330,14 @@ class UnifiedRenderService:
"[unified-render] pass-through BGM mix failed, skipping: plan_id=%s", self.plan.id
)
else:
ctx = RenderContext(work_dir=self.work_dir, plan_id=self.plan.id)
config = self.plan.config or {}
bgm_config = config.get("bgm", {}) or {}
noise_reduction_config = config.get("audio_noise_reduction")
ctx = RenderContext(
work_dir=self.work_dir,
plan_id=self.plan.id,
noise_reduction_config=noise_reduction_config,
)
audio_path = mix_audio(
ctx,
layers,
@@ -892,6 +898,18 @@ class UnifiedRenderService:
grade_filter = ColorGradeEngine.build_filter(color_grade)
if grade_filter:
filters.append(grade_filter)
# chroma key 绿幕抠像
try:
from video_processing.chroma_key_engine import ChromaKeyConfig, ChromaKeyEngine
ck_config = ChromaKeyConfig.from_dict(clip.config.get("chroma_key"))
if ck_config.has_effect():
ck_engine = ChromaKeyEngine(ck_config)
ck_full = ck_engine.build_filter("[in]", "[out]")
ck_filter_part = ck_full[len("[in]") : -len("[out]")]
filters.append(ck_filter_part)
except Exception as e:
logger.warning("[unified-render] chroma key 直通模式应用失败,跳过: %s", e)
filters.append("setpts=PTS-STARTPTS")
filters.append(f"fps={self.output_fps}")
@@ -932,6 +950,24 @@ class UnifiedRenderService:
# background 以外的视频素材,默认带音频
has_audio = role != "background"
if has_audio:
# 检查是否需要音频降噪
af_parts: list[str] = []
try:
from video_processing.noise_reduction_engine import NoiseReductionConfig, NoiseReductionEngine
plan_config = getattr(self.plan, "config", {}) or {}
nr_config = NoiseReductionConfig.from_dict(plan_config.get("audio_noise_reduction"))
if nr_config.has_effect():
nr_engine = NoiseReductionEngine(nr_config)
nr_full = nr_engine.build_filter("[in]", "[out]")
nr_filter_part = nr_full[len("[in]") : -len("[out]")]
af_parts.append(nr_filter_part)
except Exception as e:
logger.warning("[unified-render] 直通模式音频降噪应用失败,跳过: %s", e)
if af_parts:
command.extend(["-af", ",".join(af_parts)])
command.extend(["-c:a", "aac", "-b:a", "128k"])
# 统一截断时长(同时作用于视频和音频)
@@ -1112,6 +1148,19 @@ class UnifiedRenderService:
grade_filter = ColorGradeEngine.build_filter(color_grade)
if grade_filter:
filters.append(grade_filter)
# chroma key 绿幕抠像(在 scale 之后,fps 之前)
try:
from video_processing.chroma_key_engine import ChromaKeyConfig, ChromaKeyEngine
ck_config = ChromaKeyConfig.from_dict(clip.config.get("chroma_key"))
if ck_config.has_effect():
ck_engine = ChromaKeyEngine(ck_config)
# 提取滤镜部分(不带输入输出标签)
ck_full = ck_engine.build_filter("[in]", "[out]")
ck_filter_part = ck_full[len("[in]") : -len("[out]")]
filters.append(ck_filter_part)
except Exception as e:
logger.warning("[unified-render] chroma key 应用失败,跳过 clip=%s: %s", clip.clip_id, e)
filters.append("setpts=PTS-STARTPTS")
filters.append(f"fps={self.output_fps}")
+540
View File
@@ -0,0 +1,540 @@
"""绿幕抠像 + 音频降噪引擎 单元测试."""
from __future__ import annotations
import pytest
from video_processing.chroma_key_engine import (
CHROMA_KEY_PRESETS,
ChromaKeyConfig,
ChromaKeyEngine,
apply_chroma_key_if_needed,
)
from video_processing.noise_reduction_engine import (
NoiseReductionConfig,
NoiseReductionEngine,
NoiseReductionLevel,
apply_noise_reduction_if_needed,
)
# ═══════════════════════════════════════════════════════════════
# ChromaKeyConfig 测试
# ═══════════════════════════════════════════════════════════════
class TestChromaKeyConfig:
"""绿幕抠像配置测试."""
def test_default_disabled(self):
"""默认配置是禁用的."""
config = ChromaKeyConfig()
assert config.enabled is False
assert config.has_effect() is False
def test_from_dict_none(self):
"""传入 None 返回禁用配置."""
config = ChromaKeyConfig.from_dict(None)
assert config.enabled is False
assert config.has_effect() is False
def test_from_dict_empty(self):
"""传入空 dict 返回禁用配置."""
config = ChromaKeyConfig.from_dict({})
assert config.enabled is False
def test_from_dict_disabled(self):
"""enabled=false 时禁用."""
config = ChromaKeyConfig.from_dict({"enabled": False})
assert config.enabled is False
assert config.has_effect() is False
def test_from_dict_enabled_defaults(self):
"""只开启,使用默认参数."""
config = ChromaKeyConfig.from_dict({"enabled": True})
assert config.enabled is True
assert config.key_color == "#00FF00"
assert config.similarity == 0.3
assert config.blend == 0.1
assert config.spill_suppress == 0.0
assert config.has_effect() is True
def test_from_dict_custom_params(self):
"""自定义所有参数."""
config = ChromaKeyConfig.from_dict(
{
"enabled": True,
"key_color": "#0000FF",
"similarity": 0.5,
"blend": 0.2,
"spill_suppress": 0.3,
}
)
assert config.key_color == "#0000FF"
assert config.similarity == 0.5
assert config.blend == 0.2
assert config.spill_suppress == 0.3
def test_similarity_clamp(self):
"""similarity 越界自动钳制."""
# 低于最小值
config = ChromaKeyConfig.from_dict({"enabled": True, "similarity": 0})
assert config.similarity == 0.01
# 高于最大值
config = ChromaKeyConfig.from_dict({"enabled": True, "similarity": 2.0})
assert config.similarity == 1.0
def test_blend_clamp(self):
"""blend 越界自动钳制."""
config = ChromaKeyConfig.from_dict({"enabled": True, "blend": -0.5})
assert config.blend == 0.0
config = ChromaKeyConfig.from_dict({"enabled": True, "blend": 2.0})
assert config.blend == 1.0
def test_spill_suppress_clamp(self):
"""spill_suppress 越界自动钳制."""
config = ChromaKeyConfig.from_dict({"enabled": True, "spill_suppress": -0.1})
assert config.spill_suppress == 0.0
config = ChromaKeyConfig.from_dict({"enabled": True, "spill_suppress": 2.0})
assert config.spill_suppress == 1.0
def test_invalid_similarity_still_works(self):
"""无效相似度值也能安全解析(钳制后仍有效果)."""
config = ChromaKeyConfig.from_dict({"enabled": True, "similarity": "invalid"})
# 字符串转 float 会失败 → 应该用 try/except 保护
# 实际上 from_dict 直接 float() 转换会抛异常
# 这里测试调用方的降级策略
def test_has_effect_zero_similarity(self):
"""similarity 为 0(被钳制到0.01)时仍然有效果."""
config = ChromaKeyConfig(enabled=True, similarity=0.0)
# 注意:直接构造不走 from_dict 的钳制逻辑
assert config.similarity == 0.0
assert config.has_effect() is False # similarity > 0
# ═══════════════════════════════════════════════════════════════
# ChromaKeyEngine 测试
# ═══════════════════════════════════════════════════════════════
class TestChromaKeyEngine:
"""绿幕抠像引擎测试."""
def test_build_filter_basic(self):
"""基础抠像滤镜构建."""
config = ChromaKeyConfig(enabled=True, key_color="#00FF00", similarity=0.3, blend=0.1)
engine = ChromaKeyEngine(config)
result = engine.build_filter("[0:v]", "[out]")
assert "[0:v]" in result
assert "[out]" in result
assert "colorkey" in result
assert "color=0x00FF00" in result
assert "similarity=0.3" in result
assert "blend=0.1" in result
def test_build_filter_no_effect(self):
"""无效果时返回 copy."""
config = ChromaKeyConfig(enabled=False)
engine = ChromaKeyEngine(config)
result = engine.build_filter("[in]", "[out]")
assert "copy" in result
assert "colorkey" not in result
def test_normalize_color_hex(self):
"""hex 颜色格式化."""
engine = ChromaKeyEngine(ChromaKeyConfig(enabled=True))
assert engine._normalize_color("#00FF00") == "0x00FF00"
assert engine._normalize_color("#00ff00") == "0x00FF00"
assert engine._normalize_color("0x00FF00") == "0X00FF00"
def test_normalize_color_name(self):
"""颜色名直接透传."""
engine = ChromaKeyEngine(ChromaKeyConfig(enabled=True))
assert engine._normalize_color("green") == "green"
assert engine._normalize_color("blue") == "blue"
def test_build_filter_with_spill_suppress(self):
"""溢色抑制时增加 colorchannelmixer."""
config = ChromaKeyConfig(enabled=True, key_color="#00FF00", similarity=0.3, blend=0.1, spill_suppress=0.5)
engine = ChromaKeyEngine(config)
result = engine.build_filter("[v0]", "[v1]")
assert "colorkey" in result
assert "colorchannelmixer" in result
# 绿通道增益应该降低
assert "gg=" in result
def test_build_filter_no_spill_suppress(self):
"""无溢色抑制时不含 colorchannelmixer."""
config = ChromaKeyConfig(enabled=True, key_color="#00FF00", similarity=0.3, blend=0.1, spill_suppress=0.0)
engine = ChromaKeyEngine(config)
result = engine.build_filter("[v0]", "[v1]")
assert "colorkey" in result
assert "colorchannelmixer" not in result
def test_build_filter_chromakey(self):
"""chromakey 滤镜构建(高级版本)."""
config = ChromaKeyConfig(enabled=True, key_color="#00FF00", similarity=0.3, blend=0.1)
engine = ChromaKeyEngine(config)
result = engine.build_filter_chromakey("[in]", "[out]")
assert "chromakey" in result
assert "color=0x00FF00" in result
def test_blue_screen(self):
"""蓝幕抠像."""
config = ChromaKeyConfig.from_dict({"enabled": True, "key_color": "#0000FF", "similarity": 0.3})
engine = ChromaKeyEngine(config)
result = engine.build_filter("[0:v]", "[out]")
assert "color=0x0000FF" in result
# ═══════════════════════════════════════════════════════════════
# 预设测试
# ═══════════════════════════════════════════════════════════════
class TestChromaKeyPresets:
"""绿幕预设测试."""
def test_presets_exist(self):
"""预设列表包含常见预设."""
assert "green_screen" in CHROMA_KEY_PRESETS
assert "blue_screen" in CHROMA_KEY_PRESETS
assert "red_screen" in CHROMA_KEY_PRESETS
assert "precise_green" in CHROMA_KEY_PRESETS
assert "soft_green" in CHROMA_KEY_PRESETS
def test_green_screen_preset_valid(self):
"""绿幕预设参数有效."""
preset = CHROMA_KEY_PRESETS["green_screen"]
config = ChromaKeyConfig.from_dict({"enabled": True, **preset})
assert config.has_effect() is True
assert config.key_color == "#00FF00"
assert 0.01 <= config.similarity <= 1.0
def test_blue_screen_preset_valid(self):
"""蓝幕预设参数有效."""
preset = CHROMA_KEY_PRESETS["blue_screen"]
config = ChromaKeyConfig.from_dict({"enabled": True, **preset})
assert config.key_color == "#0000FF"
# ═══════════════════════════════════════════════════════════════
# apply_chroma_key_if_needed 测试
# ═══════════════════════════════════════════════════════════════
class TestApplyChromaKeyIfNeeded:
"""便捷函数测试."""
def test_no_chroma_key_in_config(self):
"""没有 chroma_key 配置时返回 None."""
result = apply_chroma_key_if_needed({}, "[in]", "[out]")
assert result is None
def test_disabled_chroma_key(self):
"""禁用的抠像配置返回 None."""
result = apply_chroma_key_if_needed({"chroma_key": {"enabled": False}}, "[in]", "[out]")
assert result is None
def test_enabled_chroma_key(self):
"""启用的抠像配置返回滤镜字符串."""
result = apply_chroma_key_if_needed(
{"chroma_key": {"enabled": True, "key_color": "#00FF00"}},
"[v0]",
"[ck0]",
)
assert result is not None
assert "colorkey" in result
assert "[v0]" in result
assert "[ck0]" in result
def test_invalid_config_degrades_gracefully(self):
"""无效配置不抛出异常,返回 None."""
result = apply_chroma_key_if_needed(
{"chroma_key": {"enabled": True, "similarity": "invalid"}},
"[in]",
"[out]",
)
# float("invalid") 会抛 ValueError,但 apply 函数应该捕获
# 注意:当前 from_dict 没有 try/except,调用方的 apply 应该处理
# 这里验证不会崩溃
assert result is None or isinstance(result, str)
# ═══════════════════════════════════════════════════════════════
# NoiseReductionConfig 测试
# ═══════════════════════════════════════════════════════════════
class TestNoiseReductionConfig:
"""音频降噪配置测试."""
def test_default_disabled(self):
"""默认配置是禁用的."""
config = NoiseReductionConfig()
assert config.enabled is False
assert config.has_effect() is False
def test_from_dict_none(self):
"""传入 None 返回禁用配置."""
config = NoiseReductionConfig.from_dict(None)
assert config.enabled is False
assert config.has_effect() is False
def test_from_dict_empty(self):
"""传入空 dict 返回禁用配置."""
config = NoiseReductionConfig.from_dict({})
assert config.enabled is False
def test_from_dict_enabled_default(self):
"""只开启,使用默认参数."""
config = NoiseReductionConfig.from_dict({"enabled": True})
assert config.enabled is True
assert config.level == NoiseReductionLevel.MEDIUM
assert config.has_effect() is True
def test_from_dict_low_level(self):
"""低降噪等级."""
config = NoiseReductionConfig.from_dict({"enabled": True, "level": "low"})
assert config.level == NoiseReductionLevel.LOW
assert config.get_effective_noise_floor() == -35.0
def test_from_dict_medium_level(self):
"""中降噪等级."""
config = NoiseReductionConfig.from_dict({"enabled": True, "level": "medium"})
assert config.level == NoiseReductionLevel.MEDIUM
assert config.get_effective_noise_floor() == -25.0
def test_from_dict_high_level(self):
"""高降噪等级."""
config = NoiseReductionConfig.from_dict({"enabled": True, "level": "high"})
assert config.level == NoiseReductionLevel.HIGH
assert config.get_effective_noise_floor() == -15.0
def test_from_dict_custom_level(self):
"""自定义降噪等级."""
config = NoiseReductionConfig.from_dict({"enabled": True, "level": "custom", "noise_floor": -30.0})
assert config.level == NoiseReductionLevel.CUSTOM
assert config.get_effective_noise_floor() == -30.0
def test_invalid_level_falls_back_to_medium(self):
"""无效等级回退到 medium."""
config = NoiseReductionConfig.from_dict({"enabled": True, "level": "ultra"})
assert config.level == NoiseReductionLevel.MEDIUM
def test_noise_floor_clamp(self):
"""noise_floor 越界自动钳制."""
# 低于最小值
config = NoiseReductionConfig.from_dict({"enabled": True, "level": "custom", "noise_floor": -100})
assert config.noise_floor == -60.0
# 高于最大值
config = NoiseReductionConfig.from_dict({"enabled": True, "level": "custom", "noise_floor": 0})
assert config.noise_floor == -5.0
def test_voice_enhance(self):
"""人声增强开关."""
config = NoiseReductionConfig.from_dict({"enabled": True, "voice_enhance": True})
assert config.voice_enhance is True
# ═══════════════════════════════════════════════════════════════
# NoiseReductionEngine 测试
# ═══════════════════════════════════════════════════════════════
class TestNoiseReductionEngine:
"""音频降噪引擎测试."""
def test_build_filter_basic(self):
"""基础降噪滤镜构建."""
config = NoiseReductionConfig(enabled=True, level=NoiseReductionLevel.MEDIUM)
engine = NoiseReductionEngine(config)
result = engine.build_filter("[0:a]", "[out]")
assert "[0:a]" in result
assert "[out]" in result
assert "afftdn" in result
assert "nf=-25" in result
def test_build_filter_no_effect(self):
"""无效果时返回 anull."""
config = NoiseReductionConfig(enabled=False)
engine = NoiseReductionEngine(config)
result = engine.build_filter("[in]", "[out]")
assert "anull" in result
assert "afftdn" not in result
def test_low_level(self):
"""低降噪等级参数正确."""
config = NoiseReductionConfig(enabled=True, level=NoiseReductionLevel.LOW)
engine = NoiseReductionEngine(config)
result = engine.build_filter("[in]", "[out]")
assert "nf=-35" in result
def test_high_level(self):
"""高降噪等级参数正确."""
config = NoiseReductionConfig(enabled=True, level=NoiseReductionLevel.HIGH)
engine = NoiseReductionEngine(config)
result = engine.build_filter("[in]", "[out]")
assert "nf=-15" in result
def test_custom_level(self):
"""自定义降噪等级."""
config = NoiseReductionConfig(enabled=True, level=NoiseReductionLevel.CUSTOM, noise_floor=-40.0)
engine = NoiseReductionEngine(config)
result = engine.build_filter("[in]", "[out]")
assert "nf=-40" in result
def test_voice_enhance_adds_filters(self):
"""人声增强增加额外滤镜."""
config = NoiseReductionConfig(enabled=True, level=NoiseReductionLevel.MEDIUM, voice_enhance=True)
engine = NoiseReductionEngine(config)
result = engine.build_filter("[in]", "[out]")
assert "afftdn" in result
assert "highpass" in result
assert "acompressor" in result
assert "loudnorm" in result
def test_no_voice_enhance_clean(self):
"""无人声增强时只有 afftdn."""
config = NoiseReductionConfig(enabled=True, level=NoiseReductionLevel.MEDIUM, voice_enhance=False)
engine = NoiseReductionEngine(config)
result = engine.build_filter("[in]", "[out]")
assert "afftdn" in result
assert "highpass" not in result
assert "acompressor" not in result
def test_arnndn_filter(self):
"""RNN 降噪滤镜构建."""
config = NoiseReductionConfig(enabled=True, level=NoiseReductionLevel.MEDIUM)
engine = NoiseReductionEngine(config)
result = engine.build_filter_arnndn("[in]", "[out]", "/models/rnnoise.rnnn")
assert "arnndn" in result
assert "m=/models/rnnoise.rnnn" in result
# ═══════════════════════════════════════════════════════════════
# apply_noise_reduction_if_needed 测试
# ═══════════════════════════════════════════════════════════════
class TestApplyNoiseReductionIfNeeded:
"""便捷函数测试."""
def test_none_config(self):
"""None 配置返回 None."""
result = apply_noise_reduction_if_needed(None, "[in]", "[out]")
assert result is None
def test_empty_config(self):
"""空配置返回 None."""
result = apply_noise_reduction_if_needed({}, "[in]", "[out]")
assert result is None
def test_disabled_config(self):
"""禁用配置返回 None."""
result = apply_noise_reduction_if_needed({"enabled": False}, "[in]", "[out]")
assert result is None
def test_enabled_config(self):
"""启用配置返回滤镜字符串."""
result = apply_noise_reduction_if_needed({"enabled": True, "level": "medium"}, "[a0]", "[nr0]")
assert result is not None
assert "afftdn" in result
assert "[a0]" in result
assert "[nr0]" in result
def test_invalid_config_degrades(self):
"""无效配置不崩溃."""
result = apply_noise_reduction_if_needed({"enabled": True, "level": 12345}, "[in]", "[out]")
# 不抛异常,可能返回 None 或有效结果
assert result is None or isinstance(result, str)
# ═══════════════════════════════════════════════════════════════
# 集成测试:降级策略
# ═══════════════════════════════════════════════════════════════
class TestDegradationStrategies:
"""降级策略测试."""
def test_chroma_key_none_config_safe(self):
"""绿幕:None 配置安全."""
# None
assert apply_chroma_key_if_needed(None, "[in]", "[out]") is None # type: ignore
# 空 dict
assert apply_chroma_key_if_needed({}, "[in]", "[out]") is None
def test_noise_reduction_none_config_safe(self):
"""降噪:None 配置安全."""
assert apply_noise_reduction_if_needed(None, "[in]", "[out]") is None
assert apply_noise_reduction_if_needed({}, "[in]", "[out]") is None
def test_chroma_key_engine_no_effect_passthrough(self):
"""绿幕:无效果时直通 copy."""
config = ChromaKeyConfig(enabled=False)
engine = ChromaKeyEngine(config)
result = engine.build_filter("[v0]", "[v1]")
# copy 滤镜,不改变像素
assert "copy" in result
def test_noise_reduction_no_effect_passthrough(self):
"""降噪:无效果时直通 anull."""
config = NoiseReductionConfig(enabled=False)
engine = NoiseReductionEngine(config)
result = engine.build_filter("[a0]", "[a1]")
# anull 滤镜,不改变音频
assert "anull" in result
# ═══════════════════════════════════════════════════════════════
# 参数边界测试
# ═══════════════════════════════════════════════════════════════
class TestParameterBoundaries:
"""参数边界测试."""
@pytest.mark.parametrize(
"similarity,expected",
[
(0.0, 0.01), # 低于最小值 → 钳制到 min
(0.01, 0.01), # 最小值
(0.5, 0.5), # 中间值
(1.0, 1.0), # 最大值
(2.0, 1.0), # 超过最大值 → 钳制到 max
],
)
def test_similarity_boundaries(self, similarity, expected):
"""similarity 边界值测试."""
config = ChromaKeyConfig.from_dict({"enabled": True, "similarity": similarity})
assert abs(config.similarity - expected) < 0.001
@pytest.mark.parametrize(
"blend,expected",
[
(-1.0, 0.0),
(0.0, 0.0),
(0.5, 0.5),
(1.0, 1.0),
(2.0, 1.0),
],
)
def test_blend_boundaries(self, blend, expected):
"""blend 边界值测试."""
config = ChromaKeyConfig.from_dict({"enabled": True, "blend": blend})
assert abs(config.blend - expected) < 0.001
@pytest.mark.parametrize(
"noise_floor,expected",
[
(-100, -60.0),
(-60, -60.0),
(-30, -30.0),
(-5, -5.0),
(0, -5.0),
],
)
def test_noise_floor_boundaries(self, noise_floor, expected):
"""noise_floor 边界值测试."""
config = NoiseReductionConfig.from_dict({"enabled": True, "level": "custom", "noise_floor": noise_floor})
assert abs(config.noise_floor - expected) < 0.001