90 lines
3.0 KiB
Python
90 lines
3.0 KiB
Python
# ruff: noqa: E501
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import unittest
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from embedchain.chunkers.text import TextChunker
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from embedchain.config import ChunkerConfig
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from embedchain.models.data_type import DataType
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class TestTextChunker(unittest.TestCase):
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def test_chunks(self):
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"""
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Test the chunks generated by TextChunker.
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# TODO: Not a very precise test.
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"""
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chunker_config = ChunkerConfig(chunk_size=10, chunk_overlap=0, length_function=len)
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chunker = TextChunker(config=chunker_config)
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text = "Lorem ipsum dolor sit amet, consectetur adipiscing elit."
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# Data type must be set manually in the test
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chunker.set_data_type(DataType.TEXT)
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result = chunker.create_chunks(MockLoader(), text)
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documents = result["documents"]
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self.assertGreaterEqual(len(documents), 5)
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# Additional test cases can be added to cover different scenarios
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def test_big_chunksize(self):
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"""
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Test that if an infinitely high chunk size is used, only one chunk is returned.
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"""
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chunker_config = ChunkerConfig(chunk_size=9999999999, chunk_overlap=0, length_function=len)
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chunker = TextChunker(config=chunker_config)
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text = "Lorem ipsum dolor sit amet, consectetur adipiscing elit."
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# Data type must be set manually in the test
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chunker.set_data_type(DataType.TEXT)
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result = chunker.create_chunks(MockLoader(), text)
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documents = result["documents"]
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self.assertEqual(len(documents), 1)
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def test_small_chunksize(self):
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"""
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Test that if a chunk size of one is used, every character is a chunk.
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"""
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chunker_config = ChunkerConfig(chunk_size=1, chunk_overlap=0, length_function=len)
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chunker = TextChunker(config=chunker_config)
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# We can't test with lorem ipsum because chunks are deduped, so would be recurring characters.
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text = """0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ!"#$%&\'()*+,-./:;<=>?@[\\]^_`{|}~ \t\n\r\x0b\x0c"""
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# Data type must be set manually in the test
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chunker.set_data_type(DataType.TEXT)
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result = chunker.create_chunks(MockLoader(), text)
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documents = result["documents"]
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print(documents)
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self.assertEqual(len(documents), len(text))
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def test_word_count(self):
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chunker_config = ChunkerConfig(chunk_size=1, chunk_overlap=0, length_function=len)
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chunker = TextChunker(config=chunker_config)
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chunker.set_data_type(DataType.TEXT)
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document = ["ab cd", "ef gh"]
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result = chunker.get_word_count(document)
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self.assertEqual(result, 4)
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class MockLoader:
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def load_data(self, src):
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"""
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Mock loader that returns a list of data dictionaries.
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Adjust this method to return different data for testing.
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"""
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return {
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"doc_id": "123",
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"data": [
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{
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"content": src,
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"meta_data": {"url": "none"},
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}
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],
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}
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