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