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CI Bot 7edb66869f style: auto-format with black + isort + prettier [skip ci-format-check]
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2026-07-29 14:45:56 +00:00
xiaoxia 90f703e49e test(wave201): concat_engine_pure 单测补全 +85测
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补全视频拼接引擎纯逻辑模块单元测试,覆盖15个纯函数:
- parse_fps: 帧率解析(数字/分数/字符串)
- format_fps_filter: fps滤镜格式化
- resolve_output_params: 输出参数解析(配置→探测→默认三级优先级)
- calculate_scaled_size: 等比缩放+填充偏移计算
- can_use_stream_copy: stream copy可行性判断
- generate_concat_file_list: concat demuxer文件列表生成
- build_scale_pad_filter: scale+pad滤镜构建
- build_fps_filter: fps滤镜构建
- build_setpts_filter: setpts滤镜构建
- build_concat_filter: concat滤镜构建
- build_single_segment_filter_chain: 单段视频预处理滤镜链
- validate_concat_config: 拼接配置验证
- validate_video_path: 视频路径安全验证
- estimate_total_duration: 总时长估算
- count_valid_segments: 有效段统计

85个测试全部通过。
2026-07-29 22:37:18 +08:00
xiaoxia cafe063859 test(wave200): pip_engine_pure 单测补全 +86测
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补全画中画引擎纯逻辑模块单元测试,覆盖10个函数:
- compute_pip_size: 尺寸计算与钳制
- compute_pip_position: 位置计算与边界钳制
- build_pip_pre_filter: 预处理滤镜链(scale/圆角/边框/透明度/动画)
- build_animation_filters: fade类入场出场动画
- build_overlay_expr: overlay位置表达式(4方向滑入滑出)
- build_enable_expr: 时间控制表达式
- build_pip_filters: 完整滤镜链编排
- validate_pip_layer: 配置验证(12项校验)
- count_visible_layers: 可见图层统计
- sort_layers_by_z_index: z-index排序

86个测试全部通过。
2026-07-29 22:33:48 +08:00
xiaoxia d92ff7aa36 test(wave199): sticker_engine_pure 单测补全 +141测
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补全贴纸引擎纯逻辑模块单元测试,覆盖23个纯函数:
- 安全类型转换: safe_float/safe_int/safe_bool
- 尺寸估算: estimate_sticker_size/estimate_text_size
- 时间计算: calculate_fade_out_start/calculate_end_time/has_time_range
- 滤镜构建: build_scale_filter/build_opacity_filter/build_image_fade_filters
- drawtext相关: escape_drawtext_text/build_drawtext_alpha_expr/build_stroke_params/build_shadow_params
- 贴纸管理: sort_stickers_by_z_index/filter_enabled_stickers/count_sticker_types
- overlay相关: build_overlay_position/build_pre_filter_label
- 验证函数: validate_image_sticker/validate_text_sticker
- enable表达式: build_enable_expr

141个测试全部通过。
2026-07-29 22:29:46 +08:00
xiaoxia cb85b33ee9 test(shared): add wave198 ai_service unit tests (+41)
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Add comprehensive unit tests for shared.ai_service pure logic:
- _parse_recommend_response (27 tests): basic parsing, clips handling,
  field validation/boundaries, markdown code blocks, confidence clamping,
  config deep copy, total duration calculation
- _fallback_recommend_clips (10 tests): structure, intro/outro,
  showcase count, no assets, asset assignment, title/duration/order
- _call_ai_cover_service (4 tests): upload/manual/ai_frame types,
  frame_time range validation
2026-07-29 22:05:13 +08:00
4 changed files with 1731 additions and 1468 deletions
+347 -302
View File
@@ -1,12 +1,12 @@
"""视频拼接引擎纯逻辑单元测试."""
"""concat_engine_pure 单元测试."""
from __future__ import annotations
from pathlib import Path
import pytest
from video_processing.concat_engine_pure import (
from apps.worker.video_processing.concat_engine_pure import (
build_concat_filter,
build_fps_filter,
build_scale_pad_filter,
build_setpts_filter,
build_single_segment_filter_chain,
calculate_scaled_size,
can_use_stream_copy,
@@ -20,200 +20,203 @@ from video_processing.concat_engine_pure import (
validate_video_path,
)
# ─────────────────────────────────────────────────────────────────────────────
# 帧率解析测试
# ─────────────────────────────────────────────────────────────────────────────
# ── parse_fps ────────────────────────────────────────────────────────────────
class TestParseFps:
"""parse_fps 测试."""
def test_integer_fps(self):
"""整数帧率."""
assert parse_fps(30) == 30.0
def test_float_fps(self):
"""浮点帧率."""
assert parse_fps(29.97) == pytest.approx(29.97)
def test_string_integer(self):
"""字符串整数."""
assert parse_fps("30") == 30.0
def test_string_fraction(self):
"""分数字符串(30/1."""
assert parse_fps("30/1") == 30.0
def test_fraction_24000_1001(self):
"""23.976 帧率."""
result = parse_fps("24000/1001")
assert result == pytest.approx(23.976, rel=0.01)
def test_none_input(self):
"""None 输入返回默认值."""
def test_none_returns_default(self):
assert parse_fps(None) == 30.0
def test_empty_string(self):
"""空字符串返回默认值."""
assert parse_fps("") == 30.0
def test_integer_value(self):
assert parse_fps(30) == 30.0
assert parse_fps(24) == 24.0
def test_invalid_string(self):
"""无效字符串."""
assert parse_fps("abc") == 30.0
def test_float_value(self):
assert parse_fps(29.97) == 29.97
def test_string_integer(self):
assert parse_fps("30") == 30.0
assert parse_fps(" 60 ") == 60.0 # 带空格
def test_string_fraction(self):
assert parse_fps("30/1") == 30.0
assert abs(parse_fps("24000/1001") - 23.976) < 0.01
def test_zero_denominator(self):
"""分母为 0."""
assert parse_fps("30/0") == 30.0
def test_empty_string(self):
assert parse_fps("") == 30.0
assert parse_fps(" ") == 30.0
def test_invalid_string(self):
assert parse_fps("abc") == 30.0
assert parse_fps("30fps") == 30.0
def test_negative_fps(self):
"""负帧率."""
assert parse_fps(-30) == -30.0
def test_zero_fps(self):
assert parse_fps(0) == 0.0
# ── format_fps_filter ───────────────────────────────────────────────────────
class TestFormatFpsFilter:
"""format_fps_filter 测试."""
def test_integer_fps(self):
"""整数帧率."""
assert format_fps_filter(30.0) == "fps=30"
def test_float_fps(self):
"""浮点帧率."""
def test_near_integer_fps(self):
# 接近整数时用整数形式(注意:int(fps)是截断不是四舍五入)
assert format_fps_filter(30.0001) == "fps=30"
assert format_fps_filter(30.0005) == "fps=30" # int(30.0005)=30
def test_non_integer_fps(self):
result = format_fps_filter(23.976)
assert result.startswith("fps=")
assert "23.976" in result
def test_float_precision(self):
result = format_fps_filter(29.97)
assert result.startswith("fps=")
assert "29.97" in result
# 三位小数
parts = result.split("=")[1]
assert len(parts.split(".")[1]) == 3
def test_near_integer(self):
"""接近整数."""
assert format_fps_filter(30.0001) == "fps=30"
def test_one_fps(self):
assert format_fps_filter(1.0) == "fps=1"
# ─────────────────────────────────────────────────────────────────────────────
# 输出参数计算测试
# ─────────────────────────────────────────────────────────────────────────────
# ── resolve_output_params ───────────────────────────────────────────────────
class TestResolveOutputParams:
"""resolve_output_params 测试."""
def test_all_specified(self):
"""全部显式指定."""
def test_config_specified(self):
w, h, fps = resolve_output_params(1920, 1080, 60.0)
assert w == 1920
assert h == 1080
assert fps == 60.0
def test_no_specified_use_defaults(self):
"""全部未指定,用默认值."""
w, h, fps = resolve_output_params(0, 0, 0)
assert w == 1080
assert h == 1920
assert fps == 30.0
def test_use_first_video_info(self):
"""用第一段视频信息."""
def test_fallback_to_first_video_info(self):
info = {"width": 1280, "height": 720, "r_frame_rate": "24/1"}
w, h, fps = resolve_output_params(0, 0, 0, info)
assert w == 1280
assert h == 720
assert fps == 24.0
def test_partial_specified(self):
"""部分指定,未指定的用探测值."""
def test_fallback_to_defaults(self):
w, h, fps = resolve_output_params(0, 0, 0)
assert w == 1080 # default_width
assert h == 1920 # default_height
assert fps == 30.0
def test_partial_config(self):
# 宽度配置了,高度和帧率用探测的
info = {"width": 1280, "height": 720, "r_frame_rate": "24/1"}
w, h, fps = resolve_output_params(1920, 0, 0, info)
assert w == 1920 # 指定的
assert h == 720 # 探测的
assert w == 1920
assert h == 720
assert fps == 24.0
def test_zero_size_clamped(self):
"""零尺寸被钳制."""
w, h, fps = resolve_output_params(0, 0, 0, {})
assert w >= 1
assert h >= 1
assert fps >= 1.0
def test_custom_defaults(self):
"""自定义默认值."""
w, h, fps = resolve_output_params(0, 0, 0, None, 640, 480, 25.0)
w, h, fps = resolve_output_params(
0,
0,
0,
default_width=640,
default_height=480,
default_fps=25.0,
)
assert w == 640
assert h == 480
assert fps == 25.0
def test_minimum_size(self):
w, h, fps = resolve_output_params(0, 0, 0, {"width": 0, "height": 0, "r_frame_rate": "0/1"})
assert w >= 1
assert h >= 1
assert fps >= 1.0
def test_fps_fraction_in_info(self):
info = {"width": 1920, "height": 1080, "r_frame_rate": "24000/1001"}
_, _, fps = resolve_output_params(0, 0, 0, info)
assert abs(fps - 23.976) < 0.01
# ── calculate_scaled_size ───────────────────────────────────────────────────
class TestCalculateScaledSize:
"""calculate_scaled_size 测试."""
def test_same_ratio(self):
"""比例相同."""
sw, sh, ox, oy = calculate_scaled_size(1920, 1080, 1920, 1080)
assert sw == 1920
assert sh == 1080
assert ox == 0
assert oy == 0
def test_wider_source(self):
"""源更宽,上下填黑边."""
def test_wider_source_pad_top_bottom(self):
# 源是16:9,目标是9:16竖屏 → 上下填黑边
sw, sh, ox, oy = calculate_scaled_size(1920, 1080, 1080, 1920)
assert sw == 1080 # 以宽度为准
assert sh < 1920 # 高度按比例
assert sh == 607 # 1080 * 1080 / 1920 = 607.5 → 607
assert ox == 0
assert oy > 0 # 垂直居中
def test_taller_source(self):
"""源更高,左右填黑边."""
def test_taller_source_pad_left_right(self):
# 源是9:16竖屏,目标是16:9横屏 → 左右填黑边
sw, sh, ox, oy = calculate_scaled_size(1080, 1920, 1920, 1080)
assert sh == 1080 # 以高度为准
assert sw < 1920 # 宽度按比例
assert sw == 607 # 1080 * 1080 / 1920 = 607.5 → 607
assert ox > 0 # 水平居中
assert oy == 0
def test_zero_source(self):
"""零尺寸源."""
sw, sh, ox, oy = calculate_scaled_size(0, 0, 100, 100)
assert sw == 100
assert sh == 100
def test_scale_down(self):
"""缩小."""
sw, sh, ox, oy = calculate_scaled_size(1920, 1080, 640, 360)
assert sw == 640
assert sh == 360
def test_zero_source_size(self):
sw, sh, ox, oy = calculate_scaled_size(0, 0, 1920, 1080)
assert sw == 1920
assert sh == 1080
assert ox == 0
assert oy == 0
def test_scale_up(self):
"""放大."""
def test_negative_source_size(self):
sw, sh, ox, oy = calculate_scaled_size(-1, -1, 1920, 1080)
assert sw == 1920
assert sh == 1080
assert ox == 0
assert oy == 0
def test_target_same_ratio_different_size(self):
# 比例相同,尺寸不同 → 直接缩放到目标大小
sw, sh, ox, oy = calculate_scaled_size(640, 360, 1920, 1080)
assert sw == 1920
assert sh == 1080
assert ox == 0
assert oy == 0
# ─────────────────────────────────────────────────────────────────────────────
# stream copy 判断测试
# ─────────────────────────────────────────────────────────────────────────────
# ── can_use_stream_copy ─────────────────────────────────────────────────────
class TestCanUseStreamCopy:
"""can_use_stream_copy 测试."""
def test_force_reencode_false(self):
assert can_use_stream_copy([], 1920, 1080, 30.0, force_reencode=True) is False
def test_identical_segments(self):
"""所有段参数相同,可以 stream copy."""
def test_empty_segments(self):
assert can_use_stream_copy([], 1920, 1080, 30.0) is False
def test_single_segment_matching_params(self):
segs = [{"codec_name": "h264", "width": 1920, "height": 1080, "r_frame_rate": "30/1"}]
assert can_use_stream_copy(segs, 1920, 1080, 30.0) is True
def test_multiple_segments_same_params(self):
segs = [
{"codec_name": "h264", "width": 1920, "height": 1080, "r_frame_rate": "30/1"},
{"codec_name": "h264", "width": 1920, "height": 1080, "r_frame_rate": "30/1"},
{"codec_name": "h264", "width": 1920, "height": 1080, "r_frame_rate": "30/1"},
]
assert can_use_stream_copy(segs, 1920, 1080, 30.0) is True
def test_force_reencode(self):
"""强制重编码."""
segs = [
{"codec_name": "h264", "width": 1920, "height": 1080, "r_frame_rate": "30/1"},
]
assert can_use_stream_copy(segs, 1920, 1080, 30.0, force_reencode=True) is False
def test_different_codec(self):
"""编码不同."""
segs = [
{"codec_name": "h264", "width": 1920, "height": 1080, "r_frame_rate": "30/1"},
{"codec_name": "hevc", "width": 1920, "height": 1080, "r_frame_rate": "30/1"},
@@ -221,7 +224,6 @@ class TestCanUseStreamCopy:
assert can_use_stream_copy(segs, 1920, 1080, 30.0) is False
def test_different_resolution(self):
"""分辨率不同."""
segs = [
{"codec_name": "h264", "width": 1920, "height": 1080, "r_frame_rate": "30/1"},
{"codec_name": "h264", "width": 1280, "height": 720, "r_frame_rate": "30/1"},
@@ -229,306 +231,349 @@ class TestCanUseStreamCopy:
assert can_use_stream_copy(segs, 1920, 1080, 30.0) is False
def test_different_fps(self):
"""帧率不同."""
segs = [
{"codec_name": "h264", "width": 1920, "height": 1080, "r_frame_rate": "30/1"},
{"codec_name": "h264", "width": 1920, "height": 1080, "r_frame_rate": "60/1"},
]
assert can_use_stream_copy(segs, 1920, 1080, 30.0) is False
def test_target_differs(self):
"""目标参数与源不同."""
segs = [
{"codec_name": "h264", "width": 1920, "height": 1080, "r_frame_rate": "30/1"},
]
assert can_use_stream_copy(segs, 1280, 720, 30.0) is False
def test_empty_segments(self):
"""空列表."""
assert can_use_stream_copy([], 1920, 1080, 30.0) is False
def test_single_segment(self):
"""单段."""
def test_target_differs_from_source(self):
segs = [{"codec_name": "h264", "width": 1920, "height": 1080, "r_frame_rate": "30/1"}]
assert can_use_stream_copy(segs, 1920, 1080, 30.0) is True
# 目标分辨率不同
assert can_use_stream_copy(segs, 1280, 720, 30.0) is False
# 目标帧率不同
assert can_use_stream_copy(segs, 1920, 1080, 60.0) is False
def test_fps_fraction_match(self):
segs = [{"codec_name": "h264", "width": 1920, "height": 1080, "r_frame_rate": "24000/1001"}]
assert can_use_stream_copy(segs, 1920, 1080, 23.976) is True
# ─────────────────────────────────────────────────────────────────────────────
# 文件列表生成测试
# ─────────────────────────────────────────────────────────────────────────────
# ── generate_concat_file_list ───────────────────────────────────────────────
class TestGenerateConcatFileList:
"""generate_concat_file_list 测试."""
def test_single_file(self):
"""单个文件."""
result = generate_concat_file_list(["/a.mp4"])
assert "file '/a.mp4'" in result
assert result.endswith("\n")
result = generate_concat_file_list(["/tmp/video.mp4"])
assert result == "file '/tmp/video.mp4'\n"
def test_multiple_files(self):
"""多个文件."""
result = generate_concat_file_list(["/a.mp4", "/b.mp4", "/c.mp4"])
lines = result.strip().split("\n")
assert len(lines) == 3
assert lines[0] == "file '/a.mp4'"
assert lines[1] == "file '/b.mp4'"
assert lines[2] == "file '/c.mp4'"
assert result.endswith("\n")
def test_escapes_single_quotes(self):
result = generate_concat_file_list(["/path/with'quote.mp4"])
# 单引号转义: '\''
assert "'\\''" in result
def test_empty_list(self):
"""空列表."""
result = generate_concat_file_list([])
assert result == "\n"
def test_path_with_single_quote(self):
"""路径包含单引号(转义)."""
result = generate_concat_file_list(["/path/to/file's.mp4"])
# 单引号应该被转义
assert "'\\''" in result or file
assert "file '" in result
def test_path_with_spaces(self):
"""路径包含空格."""
result = generate_concat_file_list(["/path/to/my video.mp4"])
assert "my video" in result
result = generate_concat_file_list(["/path/to/video file.mp4"])
assert "file '/path/to/video file.mp4'" in result
# ─────────────────────────────────────────────────────────────────────────────
# 滤镜构建测试
# ─────────────────────────────────────────────────────────────────────────────
# ── build_scale_pad_filter ──────────────────────────────────────────────────
class TestBuildScalePadFilter:
"""scale+pad 滤镜测试."""
def test_contains_scale(self):
"""包含 scale."""
result = build_scale_pad_filter(1920, 1080)
assert "scale=" in result
def test_contains_pad(self):
"""包含 pad."""
result = build_scale_pad_filter(1920, 1080)
assert "pad=" in result
assert "1920:1080" in result
def test_force_original_aspect_ratio(self):
"""保持宽高比."""
def test_basic_filter(self):
result = build_scale_pad_filter(1920, 1080)
assert "scale=1920:1080" in result
assert "force_original_aspect_ratio=decrease" in result
assert "pad=1920:1080" in result
assert "black" in result
assert "(ow-iw)/2" in result
assert "(oh-ih)/2" in result
def test_black_padding(self):
"""黑边填充."""
result = build_scale_pad_filter(1920, 1080)
assert ":black" in result
def test_different_resolution(self):
result = build_scale_pad_filter(1080, 1920)
assert "scale=1080:1920" in result
assert "pad=1080:1920" in result
def test_ignores_source_size(self):
# src_w/src_h 目前不影响输出,都是用表达式
result1 = build_scale_pad_filter(1920, 1080)
result2 = build_scale_pad_filter(1920, 1080, src_w=1280, src_h=720)
assert result1 == result2
# ── build_fps_filter ────────────────────────────────────────────────────────
class TestBuildFpsFilter:
"""fps 滤镜测试."""
def test_integer_fps(self):
"""整数帧率."""
assert build_fps_filter(30.0) == "fps=30"
def test_float_fps(self):
"""浮点帧率."""
result = build_fps_filter(29.97)
assert result.startswith("fps=")
class TestBuildConcatFilter:
"""concat 滤镜测试."""
# ── build_setpts_filter ─────────────────────────────────────────────────────
def test_two_inputs_with_audio(self):
"""两路输入,有音频."""
result = build_concat_filter(2, has_audio=True)
assert "[0:v][0:a][1:v][1:a]concat=n=2:v=1:a=1" in result
class TestBuildSetptsFilter:
def test_returns_correct_string(self):
assert build_setpts_filter() == "setpts=PTS-STARTPTS"
# ── build_concat_filter ─────────────────────────────────────────────────────
class TestBuildConcatFilter:
def test_zero_inputs(self):
assert build_concat_filter(0) == ""
def test_single_input_with_audio(self):
result = build_concat_filter(1)
assert "[0:v][0:a]" in result
assert "concat=n=1:v=1:a=1" in result
assert "[concat_v][concat_a]" in result
def test_three_inputs_video_only(self):
"""三路输入,无音频."""
result = build_concat_filter(3, has_audio=False)
assert "[0:v][1:v][2:v]concat=n=3:v=1:a=0" in result
def test_single_input_no_audio(self):
result = build_concat_filter(1, has_audio=False)
assert "[0:v]" in result
assert "concat=n=1:v=1:a=0" in result
assert "[concat_v]" in result
assert "[concat_a]" not in result
def test_single_input(self):
"""单路输入."""
result = build_concat_filter(1, has_audio=True)
assert "[0:v][0:a]concat=n=1:v=1:a=1" in result
def test_multiple_inputs_with_audio(self):
result = build_concat_filter(3)
assert "[0:v][0:a][1:v][1:a][2:v][2:a]" in result
assert "concat=n=3:v=1:a=1" in result
def test_zero_inputs(self):
"""零输入."""
assert build_concat_filter(0) == ""
def test_multiple_inputs_no_audio(self):
result = build_concat_filter(3, has_audio=False)
assert "[0:v][1:v][2:v]" in result
assert "concat=n=3:v=1:a=0" in result
def test_negative_inputs(self):
assert build_concat_filter(-1) == ""
# ── build_single_segment_filter_chain ───────────────────────────────────────
class TestBuildSingleSegmentFilterChain:
"""单段滤镜链测试."""
def test_with_audio(self):
"""有音频."""
result = build_single_segment_filter_chain(1920, 1080, 30.0, 0)
assert "scale=" in result
assert "fps=" in result
assert "setpts=PTS-STARTPTS" in result
assert "asetpts=PTS-STARTPTS" in result
# 视频链
assert "[0:v]" in result
assert "[v0]" in result
assert "scale=1920:1080" in result
assert "fps=30" in result
assert "setpts=PTS-STARTPTS" in result
# 音频链
assert "[0:a]" in result
assert "[a0]" in result
assert "asetpts=PTS-STARTPTS" in result
# 用分号分隔
assert ";" in result
def test_video_only(self):
"""无音频."""
result = build_single_segment_filter_chain(1920, 1080, 30.0, 1, has_audio=False)
assert "scale=" in result
assert "setpts=" in result
assert "asetpts" not in result
assert "[v1]" in result
def test_without_audio(self):
result = build_single_segment_filter_chain(1920, 1080, 30.0, 2, has_audio=False)
assert "[2:v]" in result
assert "[v2]" in result
assert "[2:a]" not in result
assert ";" not in result # 没有音频就没有分号
def test_segment_index_in_labels(self):
"""段索引在标签中."""
result = build_single_segment_filter_chain(1920, 1080, 30.0, 5)
assert "[5:v]" in result
assert "[v5]" in result
def test_segment_index_propagated(self):
for idx in [0, 5, 10]:
result = build_single_segment_filter_chain(1920, 1080, 30.0, idx)
assert f"[{idx}:v]" in result
assert f"[v{idx}]" in result
# ─────────────────────────────────────────────────────────────────────────────
# 配置验证测试
# ─────────────────────────────────────────────────────────────────────────────
# ── validate_concat_config ──────────────────────────────────────────────────
class TestValidateConcatConfig:
"""配置验证测试."""
def test_valid_config(self):
"""合法配置."""
config = {
"segments": [{"video_path": "/a.mp4"}, {"video_path": "/b.mp4"}],
"segments": [
{"video_path": "/a.mp4"},
{"video_path": "/b.mp4"},
],
"output_width": 1920,
"output_height": 1080,
"output_fps": 30,
}
ok, errors = validate_concat_config(config)
assert ok is True
assert len(errors) == 0
valid, errors = validate_concat_config(config)
assert valid is True
assert errors == []
def test_no_segments(self):
valid, errors = validate_concat_config({})
assert valid is False
assert any("至少需要一个" in e for e in errors)
def test_empty_segments(self):
"""空段列表."""
ok, errors = validate_concat_config({"segments": []})
assert ok is False
assert any("至少需要" in e or "视频段" in e for e in errors)
valid, errors = validate_concat_config({"segments": []})
assert valid is False
assert len(errors) >= 1
def test_missing_video_path(self):
"""缺少 video_path."""
config = {"segments": [{"video_path": "/a.mp4"}, {}]}
ok, errors = validate_concat_config(config)
assert ok is False
config = {"segments": [{"video_path": ""}]}
valid, errors = validate_concat_config(config)
assert valid is False
assert any("video_path" in e for e in errors)
def test_negative_width(self):
"""负宽度."""
config = {"segments": [{"video_path": "/a.mp4"}], "output_width": -100}
ok, errors = validate_concat_config(config)
assert ok is False
def test_multiple_missing_paths(self):
config = {
"segments": [
{"video_path": "/a.mp4"},
{"video_path": ""},
{"video_path": ""},
]
}
valid, errors = validate_concat_config(config)
assert valid is False
path_errors = [e for e in errors if "video_path" in e]
assert len(path_errors) == 2
def test_negative_output_width(self):
config = {"segments": [{"video_path": "/a.mp4"}], "output_width": -1}
valid, errors = validate_concat_config(config)
assert valid is False
assert any("output_width" in e for e in errors)
def test_negative_height(self):
"""负高度."""
config = {"segments": [{"video_path": "/a.mp4"}], "output_height": -100}
ok, errors = validate_concat_config(config)
assert ok is False
def test_negative_output_height(self):
config = {"segments": [{"video_path": "/a.mp4"}], "output_height": -1}
valid, errors = validate_concat_config(config)
assert valid is False
assert any("output_height" in e for e in errors)
def test_negative_fps(self):
"""负帧率."""
config = {"segments": [{"video_path": "/a.mp4"}], "output_fps": -30}
ok, errors = validate_concat_config(config)
assert ok is False
def test_negative_output_fps(self):
config = {"segments": [{"video_path": "/a.mp4"}], "output_fps": -1}
valid, errors = validate_concat_config(config)
assert valid is False
assert any("output_fps" in e for e in errors)
def test_zero_output_params_ok(self):
"""零输出参数合法(表示自动探测)."""
config = {"segments": [{"video_path": "/a.mp4"}]}
ok, errors = validate_concat_config(config)
assert ok is True
def test_zero_output_params_valid(self):
# 0值表示未指定,是合法的
config = {
"segments": [{"video_path": "/a.mp4"}],
"output_width": 0,
"output_height": 0,
"output_fps": 0,
}
valid, errors = validate_concat_config(config)
assert valid is True
# ─────────────────────────────────────────────────────────────────────────────
# 路径验证测试
# ─────────────────────────────────────────────────────────────────────────────
# ── validate_video_path ─────────────────────────────────────────────────────
class TestValidateVideoPath:
"""视频路径验证测试."""
def test_empty_path(self):
"""空路径."""
ok, msg = validate_video_path("", "/work")
assert ok is False
assert "不能为空" in msg
valid, err = validate_video_path("", "/work")
assert valid is False
assert "不能为空" in err
def test_path_traversal(self):
"""路径遍历."""
ok, msg = validate_video_path("../etc/passwd", "/work")
assert ok is False
assert "回溯" in msg or ".." in msg
def test_relative_path_valid(self):
valid, err = validate_video_path("video.mp4", "/work")
assert valid is True
assert err == ""
def test_valid_relative_path(self):
"""相对路径(不检查边界)."""
ok, msg = validate_video_path("video.mp4", "/work")
assert ok is True
def test_relative_path_with_subdir(self):
valid, err = validate_video_path("sub/video.mp4", "/work")
assert valid is True
def test_valid_absolute_path(self):
"""绝对路径在工作目录内."""
ok, msg = validate_video_path("/work/sub/video.mp4", "/work")
assert ok is True
def test_path_traversal_rejected(self):
valid, err = validate_video_path("../secret.mp4", "/work")
assert valid is False
assert ".." in err
def test_path_outside_work_dir(self):
"""路径在工作目录外."""
ok, msg = validate_video_path("/etc/passwd", "/work")
assert ok is False
assert "工作目录" in msg
def test_nested_path_traversal_rejected(self):
valid, err = validate_video_path("sub/../../secret.mp4", "/work")
assert valid is False
def test_absolute_path_inside_workdir(self):
valid, err = validate_video_path("/work/sub/video.mp4", "/work")
assert valid is True
def test_absolute_path_outside_workdir(self):
valid, err = validate_video_path("/etc/passwd", "/work")
assert valid is False
assert "工作目录内" in err
def test_path_object_input(self):
valid, err = validate_video_path(Path("video.mp4"), Path("/work"))
assert valid is True
# ─────────────────────────────────────────────────────────────────────────────
# 工具函数测试
# ─────────────────────────────────────────────────────────────────────────────
# ── estimate_total_duration ─────────────────────────────────────────────────
class TestEstimateTotalDuration:
"""总时长估算测试."""
def test_single_segment(self):
assert estimate_total_duration([{"duration": 10.5}]) == 10.5
def test_multiple_segments(self):
"""多段视频."""
segs = [{"duration": 10}, {"duration": 20.5}, {"duration": 5}]
assert estimate_total_duration(segs) == pytest.approx(35.5)
segs = [
{"duration": 10},
{"duration": 20.5},
{"duration": 5.5},
]
assert estimate_total_duration(segs) == 36.0
def test_empty_list(self):
"""空列表."""
assert estimate_total_duration([]) == 0.0
def test_invalid_duration_skipped(self):
"""无效时长跳过."""
segs = [{"duration": 10}, {"duration": "abc"}, {"duration": 20}]
assert estimate_total_duration(segs) == pytest.approx(30.0)
def test_missing_duration_field(self):
segs = [{"path": "a.mp4"}, {"duration": 10}]
assert estimate_total_duration(segs) == 10.0
def test_missing_duration(self):
"""缺 duration 字段."""
segs = [{}, {"duration": 10}]
assert estimate_total_duration(segs) == pytest.approx(10.0)
def test_invalid_duration_skipped(self):
segs = [
{"duration": 10},
{"duration": "abc"},
{"duration": 20},
]
assert estimate_total_duration(segs) == 30.0
def test_string_duration(self):
segs = [{"duration": "15.5"}]
assert estimate_total_duration(segs) == 15.5
def test_negative_duration(self):
segs = [{"duration": -5}]
assert estimate_total_duration(segs) == -5.0
# ── count_valid_segments ────────────────────────────────────────────────────
class TestCountValidSegments:
"""有效段统计测试."""
def test_all_valid(self):
"""全部有效."""
segs = [{"video_path": "/a.mp4"}, {"video_path": "/b.mp4"}]
segs = [
{"video_path": "/a.mp4"},
{"video_path": "/b.mp4"},
]
assert count_valid_segments(segs) == 2
def test_some_invalid(self):
"""部分无效."""
segs = [{"video_path": "/a.mp4"}, {}, {"video_path": ""}]
assert count_valid_segments(segs) == 1
segs = [
{"video_path": "/a.mp4"},
{"video_path": ""},
{"video_path": "/c.mp4"},
]
assert count_valid_segments(segs) == 2
def test_none_valid(self):
segs = [
{"video_path": ""},
{"other_field": "x"},
]
assert count_valid_segments(segs) == 0
def test_empty_list(self):
"""空列表."""
assert count_valid_segments([]) == 0
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@@ -0,0 +1,453 @@
"""shared.ai_service 单元测试.
主要测试纯逻辑部分:_parse_recommend_response / _fallback_recommend_clips / _call_ai_cover_service.
"""
from __future__ import annotations
import json
from unittest.mock import patch
import pytest
from shared.ai_service import (
_call_ai_cover_service,
_fallback_recommend_clips,
_parse_recommend_response,
)
# ── _parse_recommend_response 测试 ────────────────────────────────────────
class TestParseRecommendResponseBasic:
"""基础解析测试."""
def test_parse_valid_json(self):
content = json.dumps(
{
"clips": [
{
"clip_type": "intro",
"order": 0,
"text_content": "开场",
"duration": 3.0,
"transition_effect": "fade",
"asset_id": "asset1",
"start_time": 0.0,
"config": {},
},
{
"clip_type": "outro",
"order": 1,
"text_content": "结尾",
"duration": 2.0,
"transition_effect": "fade",
"asset_id": "",
"start_time": 0.0,
"config": {},
},
],
"title": "测试视频",
"confidence": 0.85,
}
)
result = _parse_recommend_response(content, ["asset1"], 30.0)
assert result is not None
assert len(result["clips"]) == 2
assert result["confidence"] == 0.85
assert result["total_duration"] == 5.0
assert result["config"]["title"]["text"] == "测试视频"
assert result["config"]["title"]["ai_auto"] is True
def test_parse_none_returns_none(self):
result = _parse_recommend_response(None, ["a1"], 30.0) # type: ignore[arg-type]
assert result is None
def test_parse_empty_string_returns_none(self):
result = _parse_recommend_response("", ["a1"], 30.0)
assert result is None
def test_parse_whitespace_only_returns_none(self):
result = _parse_recommend_response(" ", ["a1"], 30.0)
assert result is None
def test_parse_invalid_json_returns_none(self):
result = _parse_recommend_response("not json", ["a1"], 30.0)
assert result is None
def test_parse_non_dict_json_returns_none(self):
result = _parse_recommend_response("[1, 2, 3]", ["a1"], 30.0)
assert result is None
class TestParseRecommendResponseClips:
"""clips 解析测试."""
def test_parse_no_clips_returns_none(self):
content = json.dumps({"title": "test", "clips": []})
result = _parse_recommend_response(content, ["a1"], 30.0)
assert result is None
def test_parse_clips_not_list_returns_none(self):
content = json.dumps({"clips": "not a list"})
result = _parse_recommend_response(content, ["a1"], 30.0)
assert result is None
def test_parse_clips_sorted_by_order(self):
content = json.dumps(
{
"clips": [
{"clip_type": "outro", "order": 2, "duration": 2, "asset_id": "a1"},
{"clip_type": "intro", "order": 0, "duration": 3, "asset_id": "a1"},
{"clip_type": "showcase", "order": 1, "duration": 5, "asset_id": "a1"},
],
}
)
result = _parse_recommend_response(content, ["a1"], 30.0)
assert result is not None
assert len(result["clips"]) == 3
assert result["clips"][0]["clip_type"] == "intro"
assert result["clips"][1]["clip_type"] == "showcase"
assert result["clips"][2]["clip_type"] == "outro"
def test_parse_clips_renumbered_continuously(self):
content = json.dumps(
{
"clips": [
{"clip_type": "intro", "order": 10, "duration": 2, "asset_id": "a1"},
{"clip_type": "outro", "order": 20, "duration": 2, "asset_id": "a1"},
],
}
)
result = _parse_recommend_response(content, ["a1"], 30.0)
assert result is not None
assert result["clips"][0]["order"] == 0
assert result["clips"][1]["order"] == 1
def test_parse_skips_invalid_clip_dicts(self):
content = json.dumps(
{
"clips": [
{"clip_type": "intro", "order": 0, "duration": 2, "asset_id": "a1"},
"not a dict",
{"clip_type": "outro", "order": 2, "duration": 2, "asset_id": "a1"},
],
}
)
result = _parse_recommend_response(content, ["a1"], 30.0)
assert result is not None
assert len(result["clips"]) == 2
class TestParseRecommendResponseFields:
"""各字段解析与边界测试."""
def test_parse_duration_clamped_min(self):
content = json.dumps(
{
"clips": [
{"clip_type": "intro", "order": 0, "duration": 0.5, "asset_id": "a1"},
],
}
)
result = _parse_recommend_response(content, ["a1"], 30.0)
assert result is not None
assert result["clips"][0]["duration"] == 1.0
def test_parse_duration_clamped_max(self):
content = json.dumps(
{
"clips": [
{"clip_type": "intro", "order": 0, "duration": 100, "asset_id": "a1"},
],
}
)
result = _parse_recommend_response(content, ["a1"], 30.0)
assert result is not None
assert result["clips"][0]["duration"] == 30.0
def test_parse_start_time_clamped_min(self):
content = json.dumps(
{
"clips": [
{"clip_type": "intro", "order": 0, "duration": 2, "asset_id": "a1", "start_time": -5.0},
],
}
)
result = _parse_recommend_response(content, ["a1"], 30.0)
assert result is not None
assert result["clips"][0]["start_time"] == 0.0
def test_parse_asset_id_not_in_list_empty(self):
content = json.dumps(
{
"clips": [
{"clip_type": "intro", "order": 0, "duration": 2, "asset_id": "unknown_asset"},
],
}
)
result = _parse_recommend_response(content, ["a1", "a2"], 30.0)
assert result is not None
assert result["clips"][0]["asset_id"] == ""
def test_parse_asset_id_in_list_kept(self):
content = json.dumps(
{
"clips": [
{"clip_type": "intro", "order": 0, "duration": 2, "asset_id": "a2"},
],
}
)
result = _parse_recommend_response(content, ["a1", "a2"], 30.0)
assert result is not None
assert result["clips"][0]["asset_id"] == "a2"
def test_parse_default_values(self):
content = json.dumps(
{
"clips": [
{"order": 0},
],
}
)
result = _parse_recommend_response(content, ["a1"], 30.0)
assert result is not None
clip = result["clips"][0]
assert clip["clip_type"] == "showcase"
assert clip["text_content"] == ""
assert clip["duration"] == 3.0
assert clip["transition_effect"] == "cut"
assert clip["asset_id"] == ""
assert clip["start_time"] == 0.0
assert clip["config"] == {}
class TestParseRecommendResponseMarkdown:
"""Markdown 代码块包裹的 JSON 测试."""
def test_parse_markdown_json(self):
content = (
"```json\n"
+ json.dumps(
{
"clips": [{"clip_type": "intro", "order": 0, "duration": 2, "asset_id": "a1"}],
"title": "md test",
}
)
+ "\n```"
)
result = _parse_recommend_response(content, ["a1"], 30.0)
assert result is not None
assert len(result["clips"]) == 1
assert result["config"]["title"]["text"] == "md test"
def test_parse_backticks_no_language(self):
content = (
"```\n"
+ json.dumps(
{
"clips": [{"clip_type": "intro", "order": 0, "duration": 2, "asset_id": "a1"}],
}
)
+ "\n```"
)
result = _parse_recommend_response(content, ["a1"], 30.0)
assert result is not None
assert len(result["clips"]) == 1
class TestParseRecommendResponseConfidence:
"""confidence 解析测试."""
def test_parse_confidence_normal(self):
content = json.dumps(
{
"clips": [{"clip_type": "intro", "order": 0, "duration": 2, "asset_id": "a1"}],
"confidence": 0.85,
}
)
result = _parse_recommend_response(content, ["a1"], 30.0)
assert result is not None
assert result["confidence"] == 0.85
def test_parse_confidence_clamped_min(self):
content = json.dumps(
{
"clips": [{"clip_type": "intro", "order": 0, "duration": 2, "asset_id": "a1"}],
"confidence": -0.5,
}
)
result = _parse_recommend_response(content, ["a1"], 30.0)
assert result is not None
assert result["confidence"] == 0.0
def test_parse_confidence_clamped_max(self):
content = json.dumps(
{
"clips": [{"clip_type": "intro", "order": 0, "duration": 2, "asset_id": "a1"}],
"confidence": 1.5,
}
)
result = _parse_recommend_response(content, ["a1"], 30.0)
assert result is not None
assert result["confidence"] == 1.0
def test_parse_confidence_default(self):
content = json.dumps(
{
"clips": [{"clip_type": "intro", "order": 0, "duration": 2, "asset_id": "a1"}],
}
)
result = _parse_recommend_response(content, ["a1"], 30.0)
assert result is not None
assert result["confidence"] == 0.7
class TestParseRecommendResponseConfig:
"""config 生成测试."""
def test_parse_no_title_no_ai_auto(self):
content = json.dumps(
{
"clips": [{"clip_type": "intro", "order": 0, "duration": 2, "asset_id": "a1"}],
}
)
result = _parse_recommend_response(content, ["a1"], 30.0)
assert result is not None
# 没有 title 时,config 的 title.text 保持默认(DEFAULT_EDIT_PLAN_CONFIG 中的值)
assert "title" in result["config"]
def test_parse_config_is_deep_copy(self):
content = json.dumps(
{
"clips": [{"clip_type": "intro", "order": 0, "duration": 2, "asset_id": "a1"}],
"title": "test",
}
)
result1 = _parse_recommend_response(content, ["a1"], 30.0)
result2 = _parse_recommend_response(content, ["a1"], 30.0)
# 修改其中一个不影响另一个
result1["config"]["title"]["text"] = "modified"
assert result2["config"]["title"]["text"] != "modified"
class TestParseRecommendResponseTotalDuration:
"""total_duration 计算测试."""
def test_parse_total_duration_sum(self):
content = json.dumps(
{
"clips": [
{"clip_type": "intro", "order": 0, "duration": 3.5, "asset_id": "a1"},
{"clip_type": "showcase", "order": 1, "duration": 5.2, "asset_id": "a1"},
{"clip_type": "outro", "order": 2, "duration": 2.0, "asset_id": "a1"},
],
}
)
result = _parse_recommend_response(content, ["a1"], 30.0)
assert result is not None
assert result["total_duration"] == pytest.approx(10.7, abs=0.01)
# ── _fallback_recommend_clips 测试 ────────────────────────────────────────
class TestFallbackRecommendClips:
"""本地降级推荐方案测试."""
def test_fallback_returns_dict_with_clips(self):
with patch("shared.ai_service.time.sleep"):
result = _fallback_recommend_clips("plan1", "tmpl1", ["a1", "a2"], "one_take", 30.0)
assert "clips" in result
assert "config" in result
assert "total_duration" in result
assert "confidence" in result
def test_fallback_has_intro_and_outro(self):
with patch("shared.ai_service.time.sleep"):
result = _fallback_recommend_clips("plan1", "tmpl1", ["a1", "a2"], "one_take", 30.0)
clips = result["clips"]
assert clips[0]["clip_type"] == "intro"
assert clips[-1]["clip_type"] == "outro"
def test_fallback_showcase_count_matches_assets(self):
with patch("shared.ai_service.time.sleep"):
result = _fallback_recommend_clips("plan1", "tmpl1", ["a1", "a2", "a3"], "one_take", 30.0)
showcase_clips = [c for c in result["clips"] if c["clip_type"] == "showcase"]
assert len(showcase_clips) == 3
def test_fallback_no_assets_still_works(self):
with patch("shared.ai_service.time.sleep"):
result = _fallback_recommend_clips("plan1", "tmpl1", [], "one_take", 30.0)
assert len(result["clips"]) >= 2 # 至少有intro和outro
def test_fallback_intro_uses_first_asset(self):
with patch("shared.ai_service.time.sleep"):
result = _fallback_recommend_clips("plan1", "tmpl1", ["a1", "a2"], "one_take", 30.0)
assert result["clips"][0]["asset_id"] == "a1"
def test_fallback_outro_has_empty_asset(self):
with patch("shared.ai_service.time.sleep"):
result = _fallback_recommend_clips("plan1", "tmpl1", ["a1"], "one_take", 30.0)
assert result["clips"][-1]["asset_id"] == ""
def test_fallback_confidence_in_range(self):
with patch("shared.ai_service.time.sleep"):
result = _fallback_recommend_clips("plan1", "tmpl1", ["a1"], "one_take", 30.0)
assert 0.75 <= result["confidence"] <= 0.95
def test_fallback_title_contains_asset_count(self):
with patch("shared.ai_service.time.sleep"):
result = _fallback_recommend_clips("plan1", "tmpl1", ["a1", "a2", "a3"], "one_take", 30.0)
assert "3" in result["config"]["title"]["text"]
assert result["config"]["title"]["ai_auto"] is True
def test_fallback_total_duration_matches(self):
with patch("shared.ai_service.time.sleep"):
result = _fallback_recommend_clips("plan1", "tmpl1", ["a1", "a2"], "one_take", 30.0)
total = sum(c["duration"] for c in result["clips"])
assert result["total_duration"] == round(total, 1)
def test_fallback_orders_are_sequential(self):
with patch("shared.ai_service.time.sleep"):
result = _fallback_recommend_clips("plan1", "tmpl1", ["a1", "a2", "a3"], "one_take", 30.0)
orders = [c["order"] for c in result["clips"]]
assert orders == list(range(len(result["clips"])))
# ── _call_ai_cover_service 测试 ───────────────────────────────────────────
class TestAiCoverService:
"""AI封面生成服务测试."""
def test_cover_type_upload(self):
with patch("shared.ai_service.time.sleep"):
result = _call_ai_cover_service("plan1", ["a1"], "upload")
assert result["type"] == "upload"
assert result["image_url"] == ""
def test_cover_type_manual_with_frame_time(self):
with patch("shared.ai_service.time.sleep"):
result = _call_ai_cover_service("plan1", ["a1"], "manual", frame_time=5.5)
assert result["type"] == "manual"
assert result["frame_time"] == 5.5
assert "5.5" in result["image_url"]
def test_cover_type_ai_frame(self):
with patch("shared.ai_service.time.sleep"):
with patch("shared.ai_service.random.uniform", side_effect=[5.0, 0.9]):
result = _call_ai_cover_service("plan1", ["a1"], "ai_frame")
assert result["type"] == "ai_frame"
assert result["frame_time"] == 5.0
assert result["confidence"] == 0.9
assert "plan1" in result["image_url"]
def test_cover_type_ai_regenerate(self):
with patch("shared.ai_service.time.sleep"):
result = _call_ai_cover_service("plan1", ["a1"], "ai_regenerate")
assert result["type"] == "ai_frame"
def test_cover_frame_time_in_range(self):
with patch("shared.ai_service.time.sleep"):
result = _call_ai_cover_service("plan1", ["a1"], "ai_frame")
assert 1.0 <= result["frame_time"] <= 10.0
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