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xiaoxia-saas/tests/unit/test_subtitle_domain.py
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test(unit): P3-1 第三波 新增3个领域模块单元测试(94个用例) (#680)
Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-07-21 19:00:12 +08:00

273 lines
10 KiB
Python
Executable File

"""字幕领域模型单元测试."""
from __future__ import annotations
from packages.domain.subtitle import SubtitleSegment, SubtitleTimeline, SubtitleWord
class TestSubtitleWord:
"""SubtitleWord 测试."""
def test_basic_properties(self):
word = SubtitleWord(text="你好", start=1.0, end=1.5)
assert word.text == "你好"
assert word.start == 1.0
assert word.end == 1.5
assert word.duration == 0.5
def test_duration_zero_when_end_before_start(self):
word = SubtitleWord(text="test", start=2.0, end=1.0)
assert word.duration == 0.0
def test_duration_zero_when_same_time(self):
word = SubtitleWord(text="test", start=1.0, end=1.0)
assert word.duration == 0.0
class TestSubtitleSegment:
"""SubtitleSegment 测试."""
def test_basic_properties(self):
seg = SubtitleSegment(text="大家好", start=0.0, end=2.0)
assert seg.text == "大家好"
assert seg.start == 0.0
assert seg.end == 2.0
assert seg.duration == 2.0
assert seg.char_count == 3
assert seg.words == []
def test_duration_with_words(self):
words = [
SubtitleWord(text="大", start=0.0, end=0.5),
SubtitleWord(text="家", start=0.5, end=1.0),
SubtitleWord(text="好", start=1.0, end=1.5),
]
seg = SubtitleSegment(text="大家好", start=0.0, end=1.5, words=words)
assert seg.duration == 1.5
assert seg.char_count == 3
assert len(seg.words) == 3
def test_duration_zero_when_end_before_start(self):
seg = SubtitleSegment(text="test", start=3.0, end=1.0)
assert seg.duration == 0.0
class TestSubtitleTimelineBasics:
"""SubtitleTimeline 基础属性测试."""
def test_empty_timeline(self):
tl = SubtitleTimeline()
assert tl.segment_count == 0
assert tl.total_chars == 0
assert tl.language == "zh"
assert tl.total_duration == 0.0
def test_single_segment(self):
seg = SubtitleSegment(text="测试", start=0.0, end=1.0)
tl = SubtitleTimeline(segments=[seg])
assert tl.segment_count == 1
assert tl.total_chars == 2
def test_multiple_segments(self):
segs = [
SubtitleSegment(text="第一句", start=0.0, end=1.0),
SubtitleSegment(text="第二句", start=1.0, end=2.0),
SubtitleSegment(text="第三句", start=2.0, end=3.0),
]
tl = SubtitleTimeline(segments=segs, total_duration=3.0)
assert tl.segment_count == 3
assert tl.total_chars == 9
assert tl.total_duration == 3.0
def test_custom_language(self):
tl = SubtitleTimeline(language="en")
assert tl.language == "en"
class TestSubtitleTimelineMergeShort:
"""合并短字幕片段测试."""
def test_empty_or_single_no_change(self):
tl = SubtitleTimeline()
result = tl.merge_short_segments()
assert result.segment_count == 0
seg = SubtitleSegment(text="短", start=0.0, end=0.5)
tl2 = SubtitleTimeline(segments=[seg])
result2 = tl2.merge_short_segments()
assert result2.segment_count == 1
def test_merge_short_segments(self):
segs = [
SubtitleSegment(text="你好", start=0.0, end=0.5),
SubtitleSegment(text="世界", start=0.5, end=1.0),
SubtitleSegment(text="今天天气很好", start=1.0, end=2.0),
]
tl = SubtitleTimeline(segments=segs)
result = tl.merge_short_segments(min_chars=4)
# "你好"+"世界"=4字,合并;"今天天气很好"=6字,保留
assert result.segment_count == 2
assert result.segments[0].text == "你好世界"
assert result.segments[0].start == 0.0
assert result.segments[0].end == 1.0
assert result.segments[1].text == "今天天气很好"
def test_merge_trailing_short_to_last(self):
segs = [
SubtitleSegment(text="一二三四五六七八", start=0.0, end=1.0),
SubtitleSegment(text="短", start=1.0, end=1.2),
SubtitleSegment(text="尾", start=1.2, end=1.4),
]
tl = SubtitleTimeline(segments=segs)
result = tl.merge_short_segments(min_chars=4)
# "一二三四五六七八"=8字 → 保留
# "短"+"尾"=2字 < 4 → 合并到上一段
assert result.segment_count == 1
assert result.segments[0].text == "一二三四五六七八短尾"
def test_merge_with_words(self):
words1 = [SubtitleWord(text="你", start=0.0, end=0.25), SubtitleWord(text="好", start=0.25, end=0.5)]
words2 = [SubtitleWord(text="世", start=0.5, end=0.75), SubtitleWord(text="界", start=0.75, end=1.0)]
segs = [
SubtitleSegment(text="你好", start=0.0, end=0.5, words=words1),
SubtitleSegment(text="世界", start=0.5, end=1.0, words=words2),
]
tl = SubtitleTimeline(segments=segs)
result = tl.merge_short_segments(min_chars=4)
assert result.segment_count == 1
assert len(result.segments[0].words) == 4
def test_preserves_language_and_duration(self):
segs = [SubtitleSegment(text="短", start=0.0, end=0.5)]
tl = SubtitleTimeline(segments=segs, language="ja", total_duration=0.5)
result = tl.merge_short_segments(min_chars=4)
assert result.language == "ja"
assert result.total_duration == 0.5
class TestSubtitleTimelineSplitLong:
"""拆分长字幕片段测试."""
def test_short_segments_no_change(self):
segs = [SubtitleSegment(text="短句", start=0.0, end=1.0)]
tl = SubtitleTimeline(segments=segs)
result = tl.split_long_segments(max_chars=10)
assert result.segment_count == 1
def test_split_by_sentence_punctuation(self):
text = "今天天气很好。我们出去散步吧!"
seg = SubtitleSegment(text=text, start=0.0, end=10.0)
tl = SubtitleTimeline(segments=[seg])
result = tl.split_long_segments(max_chars=8)
assert result.segment_count >= 2
assert result.segments[0].text.endswith("。")
assert result.total_chars == len(text)
def test_split_long_text_no_punctuation_hard_cut(self):
text = "一二三四五六七八九十十一十二十三十四十五十六十七十八"
seg = SubtitleSegment(text=text, start=0.0, end=10.0)
tl = SubtitleTimeline(segments=[seg])
result = tl.split_long_segments(max_chars=8)
assert result.segment_count > 1
# 所有片段都不超过 max_chars
for s in result.segments:
assert s.char_count <= 8
def test_split_time_proportional(self):
text = "一二三四。五六七八。"
seg = SubtitleSegment(text=text, start=0.0, end=10.0)
tl = SubtitleTimeline(segments=[seg])
result = tl.split_long_segments(max_chars=4)
assert result.segment_count >= 2
# 总时长保持一致
assert abs(result.segments[-1].end - 10.0) < 0.01
def test_split_with_words(self):
words = [
SubtitleWord(text="一", start=0.0, end=0.5),
SubtitleWord(text="二", start=0.5, end=1.0),
SubtitleWord(text="三", start=1.0, end=1.5),
SubtitleWord(text="四", start=1.5, end=2.0),
]
text = "一二三四五六七八"
seg = SubtitleSegment(text=text, start=0.0, end=4.0, words=words)
tl = SubtitleTimeline(segments=[seg])
result = tl.split_long_segments(max_chars=4)
assert result.segment_count >= 2
# 词的总数应该不变
total_words = sum(len(s.words) for s in result.segments)
assert total_words == 4
def test_split_preserves_language(self):
seg = SubtitleSegment(text="test", start=0.0, end=1.0)
tl = SubtitleTimeline(segments=[seg], language="en")
result = tl.split_long_segments(max_chars=2)
assert result.language == "en"
class TestSplitTextByPunctuation:
"""标点拆分静态方法测试."""
def test_empty_text(self):
result = SubtitleTimeline._split_text_by_punctuation("", 10)
assert result == []
def test_short_text_no_split(self):
result = SubtitleTimeline._split_text_by_punctuation("短文本", 10)
assert len(result) == 1
def test_split_by_period(self):
result = SubtitleTimeline._split_text_by_punctuation("第一句。第二句。", 4)
assert len(result) >= 2
assert "。" in result[0]
def test_split_by_exclamation(self):
result = SubtitleTimeline._split_text_by_punctuation("你好!世界!", 3)
assert len(result) >= 2
def test_split_by_comma_when_long(self):
text = "这是一个很长的句子,中间有逗号分隔,后面还有内容"
result = SubtitleTimeline._split_text_by_punctuation(text, 8)
assert len(result) >= 2
def test_no_punctuation_hard_cut(self):
text = "一二三四五六七八九十十一十二十三十四十五"
result = SubtitleTimeline._split_text_by_punctuation(text, 8)
assert len(result) > 1
for part in result:
assert len(part) <= 8
def test_sentence_end_triggers_split_when_half_max(self):
# 句末标点在 max_chars//2 以上就拆分
text = "你好世界。abcdefghij"
result = SubtitleTimeline._split_text_by_punctuation(text, 10)
# "你好世界。"=5字 < 10但>=5(half),应该拆分
assert len(result) >= 2
class TestMergeSegments:
"""_merge_segments 静态方法测试."""
def test_merge_empty(self):
result = SubtitleTimeline._merge_segments([])
assert result.text == ""
assert result.start == 0
assert result.end == 0
def test_merge_single(self):
seg = SubtitleSegment(text="test", start=1.0, end=2.0)
result = SubtitleTimeline._merge_segments([seg])
assert result.text == "test"
assert result.start == 1.0
assert result.end == 2.0
def test_merge_multiple(self):
segs = [
SubtitleSegment(text="第一", start=0.0, end=1.0),
SubtitleSegment(text="第二", start=1.0, end=2.0),
]
result = SubtitleTimeline._merge_segments(segs)
assert result.text == "第一第二"
assert result.start == 0.0
assert result.end == 2.0