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"""
测试 TranscriptionService 中的 speaker segmentation 功能
特别是 _merge_speaker_segments 和 _split_transcription_segment 方法
"""
import pytest
import tempfile
import os
from typing import List, Dict
from unittest.mock import Mock, patch
# 添加项目根目录到 Python 路径
import sys
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from src.services.transcription_service import TranscriptionService
class TestSpeakerSegmentation:
"""测试说话人分割功能"""
def setup_method(self):
"""设置测试环境"""
self.service = TranscriptionService()
def test_single_speaker_segment(self):
"""测试单个说话人的情况"""
transcription_segments = [
{
"start": 0.0,
"end": 5.0,
"text": "Hello, this is a test message."
}
]
speaker_segments = [
{
"start": 0.0,
"end": 5.0,
"speaker": "SPEAKER_00"
}
]
result = self.service._merge_speaker_segments(transcription_segments, speaker_segments)
assert len(result) == 1
assert result[0]["speaker"] == "SPEAKER_00"
assert result[0]["text"] == "Hello, this is a test message."
assert result[0]["start"] == 0.0
assert result[0]["end"] == 5.0
def test_no_speaker_detected(self):
"""测试没有检测到说话人的情况"""
transcription_segments = [
{
"start": 0.0,
"end": 5.0,
"text": "Hello, this is a test message."
}
]
speaker_segments = []
result = self.service._merge_speaker_segments(transcription_segments, speaker_segments)
assert len(result) == 1
assert result[0]["speaker"] is None
assert result[0]["text"] == "Hello, this is a test message."
def test_multiple_speakers_in_single_segment(self):
"""测试单个转录段中包含多个说话人的情况"""
transcription_segments = [
{
"start": 0.0,
"end": 10.0,
"text": "Hello there how are you today I am doing well thank you for asking"
}
]
speaker_segments = [
{
"start": 0.0,
"end": 4.0,
"speaker": "SPEAKER_00"
},
{
"start": 4.0,
"end": 7.0,
"speaker": "SPEAKER_01"
},
{
"start": 7.0,
"end": 10.0,
"speaker": "SPEAKER_00"
}
]
result = self.service._merge_speaker_segments(transcription_segments, speaker_segments)
# 应该被分割成3个段
assert len(result) == 3
# 检查说话人分配
assert result[0]["speaker"] == "SPEAKER_00"
assert result[1]["speaker"] == "SPEAKER_01"
assert result[2]["speaker"] == "SPEAKER_00"
# 检查时间戳（允许算法进行时间分配调整）
assert result[0]["start"] == 0.0
assert result[0]["end"] <= 4.0
assert result[1]["start"] >= 4.0
assert result[1]["end"] <= 7.0
assert result[2]["start"] >= 7.0
assert result[2]["end"] <= 10.0
# 检查文本被正确分割
combined_text = " ".join([seg["text"] for seg in result])
original_text = "Hello there how are you today I am doing well thank you for asking"
assert combined_text.replace(" ", " ") == original_text
def test_overlapping_speakers(self):
"""测试说话人时间重叠的情况"""
transcription_segments = [
{
"start": 0.0,
"end": 6.0,
"text": "This is a conversation between two people talking simultaneously"
}
]
speaker_segments = [
{
"start": 0.0,
"end": 4.0,
"speaker": "SPEAKER_00"
},
{
"start": 2.0,
"end": 6.0,
"speaker": "SPEAKER_01"
}
]
result = self.service._merge_speaker_segments(transcription_segments, speaker_segments)
# 应该被分割成2个段
assert len(result) == 2
assert result[0]["speaker"] == "SPEAKER_00"
assert result[1]["speaker"] == "SPEAKER_01"
# 检查重叠处理
assert result[0]["start"] == 0.0
assert result[0]["end"] <= 4.0
assert result[1]["start"] >= 2.0
assert result[1]["end"] == 6.0
def test_partial_speaker_overlap(self):
"""测试说话人部分重叠转录段的情况"""
transcription_segments = [
{
"start": 1.0,
"end": 4.0,
"text": "This is in the middle of speaker segment"
}
]
speaker_segments = [
{
"start": 0.0,
"end": 5.0,
"speaker": "SPEAKER_00"
}
]
result = self.service._merge_speaker_segments(transcription_segments, speaker_segments)
assert len(result) == 1
assert result[0]["speaker"] == "SPEAKER_00"
assert result[0]["start"] == 1.0
assert result[0]["end"] == 4.0
def test_multiple_transcription_segments_with_speakers(self):
"""测试多个转录段与多个说话人的复杂情况"""
transcription_segments = [
{
"start": 0.0,
"end": 3.0,
"text": "Hello how are you"
},
{
"start": 3.0,
"end": 6.0,
"text": "I am fine thank you"
},
{
"start": 6.0,
"end": 10.0,
"text": "That is great to hear from you today"
}
]
speaker_segments = [
{
"start": 0.0,
"end": 3.0,
"speaker": "SPEAKER_00"
},
{
"start": 3.0,
"end": 6.0,
"speaker": "SPEAKER_01"
},
{
"start": 6.0,
"end": 8.0,
"speaker": "SPEAKER_00"
},
{
"start": 8.0,
"end": 10.0,
"speaker": "SPEAKER_01"
}
]
result = self.service._merge_speaker_segments(transcription_segments, speaker_segments)
# 前两个段应该保持不变，第三个段应该被分割
assert len(result) == 4
# 检查前两个段
assert result[0]["speaker"] == "SPEAKER_00"
assert result[0]["text"] == "Hello how are you"
assert result[1]["speaker"] == "SPEAKER_01"
assert result[1]["text"] == "I am fine thank you"
# 检查被分割的第三个段
assert result[2]["speaker"] == "SPEAKER_00"
assert result[3]["speaker"] == "SPEAKER_01"
# 检查分割后的文本
combined_third_segment_text = result[2]["text"] + " " + result[3]["text"]
assert "That is great to hear from you today" in combined_third_segment_text
def test_word_boundary_preservation(self):
"""测试文本分割时保持单词边界的功能"""
transcription_segments = [
{
"start": 0.0,
"end": 8.0,
"text": "The quick brown fox jumps over the lazy dog"
}
]
speaker_segments = [
{
"start": 0.0,
"end": 4.0,
"speaker": "SPEAKER_00"
},
{
"start": 4.0,
"end": 8.0,
"speaker": "SPEAKER_01"
}
]
result = self.service._merge_speaker_segments(transcription_segments, speaker_segments)
assert len(result) == 2
# 检查文本没有在单词中间分割
for segment in result:
text = segment["text"]
# 确保文本开头和结尾都是完整的单词
if text:
words = text.split()
assert len(words) > 0, f"Segment should contain complete words: '{text}'"
# 检查没有部分单词
assert not any(word.endswith('-') or word.startswith('-') for word in words), \
f"Should not contain partial words: {words}"
def test_empty_text_handling(self):
"""测试空文本的处理"""
transcription_segments = [
{
"start": 0.0,
"end": 2.0,
"text": ""
}
]
speaker_segments = [
{
"start": 0.0,
"end": 2.0,
"speaker": "SPEAKER_00"
}
]
result = self.service._merge_speaker_segments(transcription_segments, speaker_segments)
assert len(result) == 1
assert result[0]["speaker"] == "SPEAKER_00"
assert result[0]["text"] == ""
def test_split_transcription_segment_direct(self):
"""直接测试 _split_transcription_segment 方法"""
trans_seg = {
"start": 0.0,
"end": 6.0,
"text": "Hello there how are you doing today"
}
overlapping_speakers = [
{
"speaker": "SPEAKER_00",
"start": 0.0,
"end": 3.0,
"overlap_start": 0.0,
"overlap_end": 3.0,
"overlap_duration": 3.0
},
{
"speaker": "SPEAKER_01",
"start": 3.0,
"end": 6.0,
"overlap_start": 3.0,
"overlap_end": 6.0,
"overlap_duration": 3.0
}
]
result = self.service._split_transcription_segment(
trans_seg, overlapping_speakers, trans_seg["text"]
)
assert len(result) == 2
assert result[0]["speaker"] == "SPEAKER_00"
assert result[1]["speaker"] == "SPEAKER_01"
# 检查时间分配
assert result[0]["start"] == 0.0
assert result[0]["end"] == 3.0
assert result[1]["start"] == 3.0
assert result[1]["end"] == 6.0
# 检查文本分配
combined_text = result[0]["text"] + " " + result[1]["text"]
assert "Hello there how are you doing today" in combined_text.replace(" ", " ")
def test_unequal_speaker_durations(self):
"""测试说话人持续时间不等的情况"""
trans_seg = {
"start": 0.0,
"end": 10.0,
"text": "This is a longer sentence with one speaker talking much longer than the other speaker"
}
overlapping_speakers = [
{
"speaker": "SPEAKER_00",
"start": 0.0,
"end": 8.0, # 说话时间更长
"overlap_start": 0.0,
"overlap_end": 8.0,
"overlap_duration": 8.0
},
{
"speaker": "SPEAKER_01",
"start": 8.0,
"end": 10.0, # 说话时间较短
"overlap_start": 8.0,
"overlap_end": 10.0,
"overlap_duration": 2.0
}
]
result = self.service._split_transcription_segment(
trans_seg, overlapping_speakers, trans_seg["text"]
)
assert len(result) == 2
# SPEAKER_00 应该得到更多的文本（因为说话时间更长）
speaker_00_text_length = len(result[0]["text"])
speaker_01_text_length = len(result[1]["text"])
assert speaker_00_text_length > speaker_01_text_length, \
f"SPEAKER_00 should have more text. Got {speaker_00_text_length} vs {speaker_01_text_length}"
# 检查时间分配正确
assert result[0]["end"] == 8.0
assert result[1]["start"] == 8.0
@pytest.mark.integration
def test_full_transcription_with_speaker_splitting(self):
"""集成测试：完整的转录流程与说话人分割"""
# 这个测试需要实际的音频文件，暂时跳过
# 可以在有测试音频文件时启用
pytest.skip("Integration test requires actual audio file")
if __name__ == "__main__":
# 运行测试
pytest.main([__file__, "-v", "--tb=short"]) |