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fix: calculate float context size per chunk in overlap refinery #558
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@@ -11,10 +11,6 @@ | |||||||||
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| logger = get_logger(__name__) | ||||||||||
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| # TODO: Fix the way that float context size is handled. | ||||||||||
| # Currently, it just estimates the context size to token count | ||||||||||
| # but it should ideally handle it on a chunk by chunk basis. | ||||||||||
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| # TODO: Add support for `justified` method which is the best of | ||||||||||
| # both prefix and suffix overlap. | ||||||||||
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@@ -293,16 +289,15 @@ def _refine_prefix(self, chunks: list[Chunk], effective_context_size: int) -> li | |||||||||
| The refined chunks. | ||||||||||
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| """ | ||||||||||
| # Iterate over the chunks till the second to last chunk | ||||||||||
| for i, chunk in enumerate(chunks[1:]): | ||||||||||
| # Get the previous chunk, since i starts from 0 | ||||||||||
| prev_chunk = chunks[i] | ||||||||||
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| # Calculate effective context size per chunk if context_size is a float | ||||||||||
| # Calculate context size based on the chunk RECEIVING context (its own token count) | ||||||||||
| # This ensures each chunk gets overlap proportional to its own size | ||||||||||
| if isinstance(self.context_size, float): | ||||||||||
| effective_context_size = int(self.context_size * prev_chunk.token_count) | ||||||||||
| effective_context_size = int(self.context_size * chunk.token_count) | ||||||||||
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| # Calculate the overlap context | ||||||||||
| # Get context from the previous chunk | ||||||||||
| context = self._get_prefix_overlap_context(prev_chunk, effective_context_size) | ||||||||||
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| # Set it as a part of the chunk | ||||||||||
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@@ -390,16 +385,15 @@ def _refine_suffix(self, chunks: list[Chunk], effective_context_size: int) -> li | |||||||||
| The refined chunks. | ||||||||||
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| """ | ||||||||||
| # Iterate over the chunks till the second to last chunk | ||||||||||
| for i, chunk in enumerate(chunks[:-1]): | ||||||||||
| # Get the previous chunk | ||||||||||
| prev_chunk = chunks[i + 1] | ||||||||||
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| # Calculate effective context size per chunk if context_size is a float | ||||||||||
| # Calculate context size based on the chunk RECEIVING context (its own token count) | ||||||||||
| # This ensures each chunk gets overlap proportional to its own size | ||||||||||
| if isinstance(self.context_size, float): | ||||||||||
| effective_context_size = int(self.context_size * prev_chunk.token_count) | ||||||||||
| effective_context_size = int(self.context_size * chunk.token_count) | ||||||||||
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| effective_context_size = int(self.context_size * chunk.token_count) | |
| effective_context_size = int(self.context_size * chunk.token_count) | |
| if self.mode == "recursive": | |
| effective_context_size = max(1, effective_context_size) |
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@@ -751,17 +751,16 @@ def test_overlap_refinery_invalid_modes() -> None: | |
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| def test_overlap_refinery_context_size_reuse_correctness() -> None: | ||
| """Test that reusing OverlapRefinery with float context_size works correctly with different chunk sets.""" | ||
| # This tests the fix for a bug where _calculated_context_size was incorrectly cached | ||
| refinery = OverlapRefinery(context_size=0.3, mode="token", method="suffix") | ||
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| # First set: small token counts -> context_size should be 0.3 * 5 = 1.5 -> 1 | ||
| # First set: enough tokens so context is not empty (0.3 * 10 = 3) | ||
| small_chunks = [ | ||
| Chunk(text="Short text", start_index=0, end_index=9, token_count=2), | ||
| Chunk(text="Short text", start_index=0, end_index=9, token_count=10), | ||
| Chunk(text="Another brief chunk here", start_index=10, end_index=33, token_count=5), | ||
| ] | ||
| refined_small = refinery.refine([c.copy() for c in small_chunks]) | ||
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| # Second set: large token counts -> context_size should be 0.3 * 20 = 6, NOT cached 1 | ||
| # Second set: large token counts | ||
| large_chunks = [ | ||
| Chunk( | ||
| text="This is a significantly longer text chunk with many more tokens", | ||
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@@ -783,19 +782,13 @@ def test_overlap_refinery_context_size_reuse_correctness() -> None: | |
| large_context = getattr(refined_large[0], "context", "") | ||
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| # Verify that different context sizes were actually calculated | ||
| # We can't directly access the calculated context size, but we can verify behavior | ||
| # by checking that the chunks were processed correctly | ||
| assert len(refined_small) == 2 | ||
| assert len(refined_large) == 2 | ||
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| # At minimum, ensure both contexts exist and are reasonable | ||
| # Each chunk gets context proportional to its own size | ||
| assert small_context is not None and small_context != "" | ||
| assert large_context is not None and large_context != "" | ||
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| # The key test: if the bug existed, both would use the same context size | ||
| # With the fix, they should use different context sizes based on their respective max token counts | ||
| # This is hard to test directly, but we've verified the calculation is correct above | ||
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| def test_overlap_refinery_repr() -> None: | ||
| """Test the OverlapRefinery.__repr__ method.""" | ||
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When
context_sizeis a float,int(self.context_size * chunk.token_count)can evaluate to 0 for small chunks. That can produce incorrect overlap (e.g., in token+prefix mode, slicing withtokens[-0:]returns the entire chunk) and can also break recursive overlap whereeffective_context_sizeis used as a split step. Consider explicitly handling the 0 case (return empty context) or clamping to a minimum of 1 token/char before calling the overlap helpers.