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test_dialog_sentiment_intensity_mapper.py
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import unittest
from loguru import logger
from data_juicer.core.data import NestedDataset as Dataset
from data_juicer.ops.mapper.dialog_sentiment_intensity_mapper import DialogSentimentIntensityMapper
from data_juicer.utils.unittest_utils import DataJuicerTestCaseBase
from data_juicer.utils.constant import Fields, MetaKeys
class TestDialogSentimentIntensityMapper(DataJuicerTestCaseBase):
# before runing this test, set below environment variables:
# export OPENAI_API_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
# export OPENAI_API_KEY=your_key
def _run_op(self, op, samples, target_len, intensities_key=None, analysis_key=None):
dataset = Dataset.from_list(samples)
dataset = op.run(dataset)
intensities_key = intensities_key or MetaKeys.dialog_sentiment_intensity
analysis_key = analysis_key or MetaKeys.dialog_sentiment_intensity_analysis
intensity_list = dataset[0][Fields.meta][intensities_key]
analysis_list = dataset[0][Fields.meta][analysis_key]
for analysis, intensity in zip(analysis_list, intensity_list):
logger.info(f'分析：{analysis}')
logger.info(f'情绪：{intensity}')
self.assertNotEqual(analysis, '')
self.assertEqual(len(analysis_list), target_len)
self.assertEqual(len(intensity_list), target_len)
def test_default(self):
samples = [{
'history': [
(
'李莲花有口皆碑',
'「微笑」过奖了，我也就是个普通大夫，没什么值得夸耀的。'
),
(
'是的，你确实是一个普通大夫，没什么值得夸耀的。',
'「委屈」你这话说的，我也是尽心尽力治病救人了。'
),
(
'你自己说的呀，我现在说了，你又不高兴了。',
'or of of of of or or and or of of of of of of of,,, '
),
(
'你在说什么我听不懂。',
'「委屈」我也没说什么呀，就是觉得你有点冤枉我了'
)
]
}]
op = DialogSentimentIntensityMapper(api_model='qwen2.5-72b-instruct')
self._run_op(op, samples, 4)
def test_max_round(self):
samples = [{
'history': [
(
'李莲花有口皆碑',
'「微笑」过奖了，我也就是个普通大夫，没什么值得夸耀的。'
),
(
'是的，你确实是一个普通大夫，没什么值得夸耀的。',
'「委屈」你这话说的，我也是尽心尽力治病救人了。'
),
(
'你自己说的呀，我现在说了，你又不高兴了。',
'or of of of of or or and or of of of of of of of,,, '
),
(
'你在说什么我听不懂。',
'「委屈」我也没说什么呀，就是觉得你有点冤枉我了'
)
]
}]
op = DialogSentimentIntensityMapper(api_model='qwen2.5-72b-instruct',
max_round=1)
self._run_op(op, samples, 4)
def test_max_round_zero(self):
samples = [{
'history': [
(
'李莲花有口皆碑',
'「微笑」过奖了，我也就是个普通大夫，没什么值得夸耀的。'
),
(
'是的，你确实是一个普通大夫，没什么值得夸耀的。',
'「委屈」你这话说的，我也是尽心尽力治病救人了。'
),
(
'你自己说的呀，我现在说了，你又不高兴了。',
'or of of of of or or and or of of of of of of of,,, '
),
(
'你在说什么我听不懂。',
'「委屈」我也没说什么呀，就是觉得你有点冤枉我了'
)
]
}]
op = DialogSentimentIntensityMapper(api_model='qwen2.5-72b-instruct',
max_round=0)
self._run_op(op, samples, 4)
def test_query(self):
samples = [{
'history': [
(
'李莲花有口皆碑',
'「微笑」过奖了，我也就是个普通大夫，没什么值得夸耀的。'
),
(
'是的，你确实是一个普通大夫，没什么值得夸耀的。',
'「委屈」你这话说的，我也是尽心尽力治病救人了。'
),
(
'你自己说的呀，我现在说了，你又不高兴了。',
'or of of of of or or and or of of of of of of of,,, '
)
],
'query': '你在说什么我听不懂。',
'response': '「委屈」我也没说什么呀，就是觉得你有点冤枉我了'
}]
op = DialogSentimentIntensityMapper(api_model='qwen2.5-72b-instruct',
max_round=1)
self._run_op(op, samples, 4)
def test_rename_keys(self):
samples = [{
'history': [
(
'李莲花有口皆碑',
'「微笑」过奖了，我也就是个普通大夫，没什么值得夸耀的。'
),
(
'是的，你确实是一个普通大夫，没什么值得夸耀的。',
'「委屈」你这话说的，我也是尽心尽力治病救人了。'
),
(
'你自己说的呀，我现在说了，你又不高兴了。',
'or of of of of or or and or of of of of of of of,,, '
),
(
'你在说什么我听不懂。',
'「委屈」我也没说什么呀，就是觉得你有点冤枉我了'
)
]
}]
intensities_key = 'my_intensity'
analysis_key = 'my_analysis'
op = DialogSentimentIntensityMapper(api_model='qwen2.5-72b-instruct',
intensities_key=intensities_key,
analysis_key=analysis_key)
self._run_op(op, samples, 4, intensities_key, analysis_key)
if __name__ == '__main__':
unittest.main()