fleet-memory/hindsight-api/tests/test_chunking.py
2025-11-25 19:28:26 +01:00

60 lines
2 KiB
Python

"""
Test chunking functionality for large documents.
"""
import pytest
from hindsight_api.engine.fact_extraction import chunk_text
def test_chunk_text_small():
"""Test that small text is not chunked."""
text = "This is a short text. It should not be chunked."
chunks = chunk_text(text, max_chars=1000)
assert len(chunks) == 1, "Small text should not be chunked"
assert chunks[0] == text
def test_chunk_text_large():
"""Test that large text is chunked at sentence boundaries."""
# Create a text with 10 sentences of ~100 chars each
sentences = [f"This is sentence number {i}. " + "x" * 80 for i in range(10)]
text = " ".join(sentences)
# Chunk with max 300 chars - should create multiple chunks
chunks = chunk_text(text, max_chars=300)
assert len(chunks) > 1, "Large text should be chunked"
# Verify all chunks are under the limit
for chunk in chunks:
assert len(chunk) <= 300, f"Chunk exceeds max_chars: {len(chunk)}"
# Verify we didn't lose any content
combined = " ".join(chunks)
# Account for possible whitespace differences
assert len(combined.replace(" ", "")) >= len(text.replace(" ", "")) * 0.95
def test_chunk_text_64k():
"""Test chunking a 64k character text (like a podcast transcript)."""
# Create a 64k character text
sentence = "This is a typical podcast conversation sentence. "
text = sentence * (64000 // len(sentence))
chunks = chunk_text(text, max_chars=120000)
print(f"\n64k text chunked into {len(chunks)} chunks")
for i, chunk in enumerate(chunks):
print(f" Chunk {i + 1}: {len(chunk)} characters")
# Should create at least 1 chunk (if text fits) or more
assert len(chunks) >= 1
# All chunks should be under the limit
for chunk in chunks:
assert len(chunk) <= 120000, f"Chunk exceeds max_chars: {len(chunk)}"
# Verify we didn't lose content
combined_length = sum(len(chunk) for chunk in chunks)
assert combined_length >= len(text) * 0.95, "Lost too much content during chunking"