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@ -1,211 +1,236 @@
"""
Unit tests for trustgraph.chunking.recursive
Testing parameter override functionality for chunk-size and chunk-overlap
"""
import pytest
import asyncio
from unittest.mock import AsyncMock, Mock, patch, MagicMock
from unittest.mock import AsyncMock, MagicMock, patch
from unittest import IsolatedAsyncioTestCase
# Import the service under test
from trustgraph.chunking.recursive.chunker import Processor
from trustgraph.schema import TextDocument, Chunk, Metadata
from trustgraph.chunking.recursive.chunker import Processor as RecursiveChunker
@pytest.fixture
def mock_flow():
output_mock = AsyncMock()
flow_mock = Mock(return_value=output_mock)
return flow_mock, output_mock
class MockAsyncProcessor:
def __init__(self, **params):
self.config_handlers = []
self.id = params.get('id', 'test-service')
self.specifications = []
@pytest.fixture
def mock_consumer():
consumer = Mock()
consumer.id = "test-consumer"
consumer.flow = "test-flow"
return consumer
class TestRecursiveChunkerSimple(IsolatedAsyncioTestCase):
"""Test Recursive chunker functionality"""
@patch('trustgraph.base.async_processor.AsyncProcessor', MockAsyncProcessor)
def test_processor_initialization_basic(self):
"""Test basic processor initialization"""
# Arrange
config = {
'id': 'test-chunker',
'chunk_size': 1500,
'chunk_overlap': 150,
'concurrency': 1,
'taskgroup': AsyncMock()
}
# Act
processor = Processor(**config)
# Assert
assert processor.default_chunk_size == 1500
assert processor.default_chunk_overlap == 150
assert hasattr(processor, 'text_splitter')
# Verify parameter specs are registered
param_specs = [spec for spec in processor.specifications
if hasattr(spec, 'name') and spec.name in ['chunk-size', 'chunk-overlap']]
assert len(param_specs) == 2
@patch('trustgraph.base.async_processor.AsyncProcessor', MockAsyncProcessor)
async def test_chunk_document_with_chunk_size_override(self):
"""Test chunk_document with chunk-size parameter override"""
# Arrange
config = {
'id': 'test-chunker',
'chunk_size': 1000, # Default chunk size
'chunk_overlap': 100,
'concurrency': 1,
'taskgroup': AsyncMock()
}
processor = Processor(**config)
# Mock message and flow
mock_message = MagicMock()
mock_consumer = MagicMock()
mock_flow = MagicMock()
mock_flow.side_effect = lambda param: {
"chunk-size": 2000, # Override chunk size
"chunk-overlap": None # Use default chunk overlap
}.get(param)
# Act
chunk_size, chunk_overlap = await processor.chunk_document(
mock_message, mock_consumer, mock_flow, 1000, 100
)
# Assert
assert chunk_size == 2000 # Should use overridden value
assert chunk_overlap == 100 # Should use default value
@patch('trustgraph.base.async_processor.AsyncProcessor', MockAsyncProcessor)
async def test_chunk_document_with_chunk_overlap_override(self):
"""Test chunk_document with chunk-overlap parameter override"""
# Arrange
config = {
'id': 'test-chunker',
'chunk_size': 1000,
'chunk_overlap': 100, # Default chunk overlap
'concurrency': 1,
'taskgroup': AsyncMock()
}
processor = Processor(**config)
# Mock message and flow
mock_message = MagicMock()
mock_consumer = MagicMock()
mock_flow = MagicMock()
mock_flow.side_effect = lambda param: {
"chunk-size": None, # Use default chunk size
"chunk-overlap": 200 # Override chunk overlap
}.get(param)
# Act
chunk_size, chunk_overlap = await processor.chunk_document(
mock_message, mock_consumer, mock_flow, 1000, 100
)
# Assert
assert chunk_size == 1000 # Should use default value
assert chunk_overlap == 200 # Should use overridden value
@patch('trustgraph.base.async_processor.AsyncProcessor', MockAsyncProcessor)
async def test_chunk_document_with_both_parameters_override(self):
"""Test chunk_document with both chunk-size and chunk-overlap overrides"""
# Arrange
config = {
'id': 'test-chunker',
'chunk_size': 1000,
'chunk_overlap': 100,
'concurrency': 1,
'taskgroup': AsyncMock()
}
processor = Processor(**config)
# Mock message and flow
mock_message = MagicMock()
mock_consumer = MagicMock()
mock_flow = MagicMock()
mock_flow.side_effect = lambda param: {
"chunk-size": 1500, # Override chunk size
"chunk-overlap": 150 # Override chunk overlap
}.get(param)
# Act
chunk_size, chunk_overlap = await processor.chunk_document(
mock_message, mock_consumer, mock_flow, 1000, 100
)
# Assert
assert chunk_size == 1500 # Should use overridden value
assert chunk_overlap == 150 # Should use overridden value
@patch('trustgraph.chunking.recursive.chunker.RecursiveCharacterTextSplitter')
@patch('trustgraph.base.async_processor.AsyncProcessor', MockAsyncProcessor)
async def test_on_message_uses_flow_parameters(self, mock_splitter_class):
"""Test that on_message method uses parameters from flow"""
# Arrange
mock_splitter = MagicMock()
mock_document = MagicMock()
mock_document.page_content = "Test chunk content"
mock_splitter.create_documents.return_value = [mock_document]
mock_splitter_class.return_value = mock_splitter
config = {
'id': 'test-chunker',
'chunk_size': 1000,
'chunk_overlap': 100,
'concurrency': 1,
'taskgroup': AsyncMock()
}
processor = Processor(**config)
# Mock message with TextDocument
mock_message = MagicMock()
mock_text_doc = MagicMock()
mock_text_doc.metadata = Metadata(
id="test-doc-123",
metadata=[],
user="test-user",
collection="test-collection"
)
mock_text_doc.text = b"This is test document content"
mock_message.value.return_value = mock_text_doc
# Mock consumer and flow with parameter overrides
mock_consumer = MagicMock()
mock_producer = AsyncMock()
mock_flow = MagicMock()
mock_flow.side_effect = lambda param: {
"chunk-size": 1500,
"chunk-overlap": 150,
"output": mock_producer
}.get(param)
# Act
await processor.on_message(mock_message, mock_consumer, mock_flow)
# Assert
# Verify RecursiveCharacterTextSplitter was called with overridden parameters (last call)
actual_last_call = mock_splitter_class.call_args_list[-1]
assert actual_last_call.kwargs['chunk_size'] == 1500
assert actual_last_call.kwargs['chunk_overlap'] == 150
assert actual_last_call.kwargs['length_function'] == len
assert actual_last_call.kwargs['is_separator_regex'] == False
# Verify chunk was sent to output
mock_producer.send.assert_called_once()
sent_chunk = mock_producer.send.call_args[0][0]
assert isinstance(sent_chunk, Chunk)
@patch('trustgraph.base.async_processor.AsyncProcessor', MockAsyncProcessor)
async def test_chunk_document_with_no_overrides(self):
"""Test chunk_document when no parameters are overridden (flow returns None)"""
# Arrange
config = {
'id': 'test-chunker',
'chunk_size': 1000,
'chunk_overlap': 100,
'concurrency': 1,
'taskgroup': AsyncMock()
}
processor = Processor(**config)
# Mock message and flow that returns None for all parameters
mock_message = MagicMock()
mock_consumer = MagicMock()
mock_flow = MagicMock()
mock_flow.return_value = None # No overrides
# Act
chunk_size, chunk_overlap = await processor.chunk_document(
mock_message, mock_consumer, mock_flow, 1000, 100
)
# Assert
assert chunk_size == 1000 # Should use default value
assert chunk_overlap == 100 # Should use default value
@pytest.fixture
def sample_document():
metadata = Metadata(
id="test-doc-1",
metadata=[],
user="test-user",
collection="test-collection"
)
text = "This is a test document. " * 100 # Create text long enough to be chunked
return TextDocument(
metadata=metadata,
text=text.encode("utf-8")
)
@pytest.fixture
def short_document():
metadata = Metadata(
id="test-doc-2",
metadata=[],
user="test-user",
collection="test-collection"
)
text = "This is a very short document."
return TextDocument(
metadata=metadata,
text=text.encode("utf-8")
)
class TestRecursiveChunker:
def test_init_default_params(self, mock_async_processor_init):
processor = RecursiveChunker()
assert processor.text_splitter._chunk_size == 2000
assert processor.text_splitter._chunk_overlap == 100
def test_init_custom_params(self, mock_async_processor_init):
processor = RecursiveChunker(chunk_size=500, chunk_overlap=50)
assert processor.text_splitter._chunk_size == 500
assert processor.text_splitter._chunk_overlap == 50
def test_init_with_id(self, mock_async_processor_init):
processor = RecursiveChunker(id="custom-chunker")
assert processor.id == "custom-chunker"
@pytest.mark.asyncio
async def test_on_message_single_chunk(self, mock_async_processor_init, mock_flow, mock_consumer, short_document):
flow_mock, output_mock = mock_flow
processor = RecursiveChunker(chunk_size=2000, chunk_overlap=100)
msg = Mock()
msg.value.return_value = short_document
await processor.on_message(msg, mock_consumer, flow_mock)
# Should produce exactly one chunk for short text
assert output_mock.send.call_count == 1
# Verify the chunk was created correctly
chunk_call = output_mock.send.call_args[0][0]
assert isinstance(chunk_call, Chunk)
assert chunk_call.metadata == short_document.metadata
assert chunk_call.chunk.decode("utf-8") == short_document.text.decode("utf-8")
@pytest.mark.asyncio
async def test_on_message_multiple_chunks(self, mock_async_processor_init, mock_flow, mock_consumer, sample_document):
flow_mock, output_mock = mock_flow
processor = RecursiveChunker(chunk_size=100, chunk_overlap=20)
msg = Mock()
msg.value.return_value = sample_document
await processor.on_message(msg, mock_consumer, flow_mock)
# Should produce multiple chunks
assert output_mock.send.call_count > 1
# Verify all chunks have correct metadata
for call in output_mock.send.call_args_list:
chunk = call[0][0]
assert isinstance(chunk, Chunk)
assert chunk.metadata == sample_document.metadata
assert len(chunk.chunk) > 0
@pytest.mark.asyncio
async def test_on_message_chunk_overlap(self, mock_async_processor_init, mock_flow, mock_consumer):
flow_mock, output_mock = mock_flow
processor = RecursiveChunker(chunk_size=50, chunk_overlap=10)
# Create a document with predictable content
metadata = Metadata(id="test", metadata=[], user="test-user", collection="test-collection")
text = "ABCDEFGHIJ" * 10 # 100 characters
document = TextDocument(metadata=metadata, text=text.encode("utf-8"))
msg = Mock()
msg.value.return_value = document
await processor.on_message(msg, mock_consumer, flow_mock)
# Collect all chunks
chunks = []
for call in output_mock.send.call_args_list:
chunk_text = call[0][0].chunk.decode("utf-8")
chunks.append(chunk_text)
# Verify chunks have expected overlap
for i in range(len(chunks) - 1):
# The end of chunk i should overlap with the beginning of chunk i+1
# Check if there's some overlap (exact overlap depends on text splitter logic)
assert len(chunks[i]) <= 50 + 10 # chunk_size + some tolerance
@pytest.mark.asyncio
async def test_on_message_empty_document(self, mock_async_processor_init, mock_flow, mock_consumer):
flow_mock, output_mock = mock_flow
processor = RecursiveChunker()
metadata = Metadata(id="empty", metadata=[], user="test-user", collection="test-collection")
document = TextDocument(metadata=metadata, text=b"")
msg = Mock()
msg.value.return_value = document
await processor.on_message(msg, mock_consumer, flow_mock)
# Empty documents typically don't produce chunks with langchain splitters
# This behavior is expected - no chunks should be produced
assert output_mock.send.call_count == 0
@pytest.mark.asyncio
async def test_on_message_unicode_handling(self, mock_async_processor_init, mock_flow, mock_consumer):
flow_mock, output_mock = mock_flow
processor = RecursiveChunker(chunk_size=500, chunk_overlap=20) # Fixed overlap < chunk_size
metadata = Metadata(id="unicode", metadata=[], user="test-user", collection="test-collection")
text = "Hello 世界! 🌍 This is a test with émojis and spëcial characters."
document = TextDocument(metadata=metadata, text=text.encode("utf-8"))
msg = Mock()
msg.value.return_value = document
await processor.on_message(msg, mock_consumer, flow_mock)
# Verify unicode is preserved correctly
all_chunks = []
for call in output_mock.send.call_args_list:
chunk_text = call[0][0].chunk.decode("utf-8")
all_chunks.append(chunk_text)
# Reconstruct text (approximately, due to overlap)
reconstructed = "".join(all_chunks)
assert "世界" in reconstructed
assert "🌍" in reconstructed
assert "émojis" in reconstructed
@pytest.mark.asyncio
async def test_metrics_recorded(self, mock_async_processor_init, mock_flow, mock_consumer, sample_document):
flow_mock, output_mock = mock_flow
processor = RecursiveChunker(chunk_size=100)
msg = Mock()
msg.value.return_value = sample_document
# Mock the metric
with patch.object(RecursiveChunker.chunk_metric, 'labels') as mock_labels:
mock_observe = Mock()
mock_labels.return_value.observe = mock_observe
await processor.on_message(msg, mock_consumer, flow_mock)
# Verify metrics were recorded
mock_labels.assert_called_with(id="test-consumer", flow="test-flow")
assert mock_observe.call_count > 0
# Verify chunk sizes were observed
for call in mock_observe.call_args_list:
chunk_size = call[0][0]
assert chunk_size > 0
def test_add_args(self):
parser = Mock()
RecursiveChunker.add_args(parser)
# Verify arguments were added
calls = parser.add_argument.call_args_list
arg_names = [call[0][0] for call in calls]
assert '-z' in arg_names or '--chunk-size' in arg_names
assert '-v' in arg_names or '--chunk-overlap' in arg_names
if __name__ == '__main__':
pytest.main([__file__])

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"""
Unit tests for trustgraph.chunking.token
Testing parameter override functionality for chunk-size and chunk-overlap
"""
import pytest
import asyncio
from unittest.mock import AsyncMock, Mock, patch
from unittest.mock import AsyncMock, MagicMock, patch
from unittest import IsolatedAsyncioTestCase
# Import the service under test
from trustgraph.chunking.token.chunker import Processor
from trustgraph.schema import TextDocument, Chunk, Metadata
from trustgraph.chunking.token.chunker import Processor as TokenChunker
@pytest.fixture
def mock_flow():
output_mock = AsyncMock()
flow_mock = Mock(return_value=output_mock)
return flow_mock, output_mock
class MockAsyncProcessor:
def __init__(self, **params):
self.config_handlers = []
self.id = params.get('id', 'test-service')
self.specifications = []
@pytest.fixture
def mock_consumer():
consumer = Mock()
consumer.id = "test-consumer"
consumer.flow = "test-flow"
return consumer
class TestTokenChunkerSimple(IsolatedAsyncioTestCase):
"""Test Token chunker functionality"""
@patch('trustgraph.base.async_processor.AsyncProcessor', MockAsyncProcessor)
def test_processor_initialization_basic(self):
"""Test basic processor initialization"""
# Arrange
config = {
'id': 'test-chunker',
'chunk_size': 300,
'chunk_overlap': 20,
'concurrency': 1,
'taskgroup': AsyncMock()
}
# Act
processor = Processor(**config)
# Assert
assert processor.default_chunk_size == 300
assert processor.default_chunk_overlap == 20
assert hasattr(processor, 'text_splitter')
# Verify parameter specs are registered
param_specs = [spec for spec in processor.specifications
if hasattr(spec, 'name') and spec.name in ['chunk-size', 'chunk-overlap']]
assert len(param_specs) == 2
@patch('trustgraph.base.async_processor.AsyncProcessor', MockAsyncProcessor)
async def test_chunk_document_with_chunk_size_override(self):
"""Test chunk_document with chunk-size parameter override"""
# Arrange
config = {
'id': 'test-chunker',
'chunk_size': 250, # Default chunk size
'chunk_overlap': 15,
'concurrency': 1,
'taskgroup': AsyncMock()
}
processor = Processor(**config)
# Mock message and flow
mock_message = MagicMock()
mock_consumer = MagicMock()
mock_flow = MagicMock()
mock_flow.side_effect = lambda param: {
"chunk-size": 400, # Override chunk size
"chunk-overlap": None # Use default chunk overlap
}.get(param)
# Act
chunk_size, chunk_overlap = await processor.chunk_document(
mock_message, mock_consumer, mock_flow, 250, 15
)
# Assert
assert chunk_size == 400 # Should use overridden value
assert chunk_overlap == 15 # Should use default value
@patch('trustgraph.base.async_processor.AsyncProcessor', MockAsyncProcessor)
async def test_chunk_document_with_chunk_overlap_override(self):
"""Test chunk_document with chunk-overlap parameter override"""
# Arrange
config = {
'id': 'test-chunker',
'chunk_size': 250,
'chunk_overlap': 15, # Default chunk overlap
'concurrency': 1,
'taskgroup': AsyncMock()
}
processor = Processor(**config)
# Mock message and flow
mock_message = MagicMock()
mock_consumer = MagicMock()
mock_flow = MagicMock()
mock_flow.side_effect = lambda param: {
"chunk-size": None, # Use default chunk size
"chunk-overlap": 25 # Override chunk overlap
}.get(param)
# Act
chunk_size, chunk_overlap = await processor.chunk_document(
mock_message, mock_consumer, mock_flow, 250, 15
)
# Assert
assert chunk_size == 250 # Should use default value
assert chunk_overlap == 25 # Should use overridden value
@patch('trustgraph.base.async_processor.AsyncProcessor', MockAsyncProcessor)
async def test_chunk_document_with_both_parameters_override(self):
"""Test chunk_document with both chunk-size and chunk-overlap overrides"""
# Arrange
config = {
'id': 'test-chunker',
'chunk_size': 250,
'chunk_overlap': 15,
'concurrency': 1,
'taskgroup': AsyncMock()
}
processor = Processor(**config)
# Mock message and flow
mock_message = MagicMock()
mock_consumer = MagicMock()
mock_flow = MagicMock()
mock_flow.side_effect = lambda param: {
"chunk-size": 350, # Override chunk size
"chunk-overlap": 30 # Override chunk overlap
}.get(param)
# Act
chunk_size, chunk_overlap = await processor.chunk_document(
mock_message, mock_consumer, mock_flow, 250, 15
)
# Assert
assert chunk_size == 350 # Should use overridden value
assert chunk_overlap == 30 # Should use overridden value
@patch('trustgraph.chunking.token.chunker.TokenTextSplitter')
@patch('trustgraph.base.async_processor.AsyncProcessor', MockAsyncProcessor)
async def test_on_message_uses_flow_parameters(self, mock_splitter_class):
"""Test that on_message method uses parameters from flow"""
# Arrange
mock_splitter = MagicMock()
mock_document = MagicMock()
mock_document.page_content = "Test token chunk content"
mock_splitter.create_documents.return_value = [mock_document]
mock_splitter_class.return_value = mock_splitter
config = {
'id': 'test-chunker',
'chunk_size': 250,
'chunk_overlap': 15,
'concurrency': 1,
'taskgroup': AsyncMock()
}
processor = Processor(**config)
# Mock message with TextDocument
mock_message = MagicMock()
mock_text_doc = MagicMock()
mock_text_doc.metadata = Metadata(
id="test-doc-456",
metadata=[],
user="test-user",
collection="test-collection"
)
mock_text_doc.text = b"This is test document content for token chunking"
mock_message.value.return_value = mock_text_doc
# Mock consumer and flow with parameter overrides
mock_consumer = MagicMock()
mock_producer = AsyncMock()
mock_flow = MagicMock()
mock_flow.side_effect = lambda param: {
"chunk-size": 400,
"chunk-overlap": 40,
"output": mock_producer
}.get(param)
# Act
await processor.on_message(mock_message, mock_consumer, mock_flow)
# Assert
# Verify TokenTextSplitter was called with overridden parameters (last call)
expected_call = [
('encoding_name', 'cl100k_base'),
('chunk_size', 400),
('chunk_overlap', 40)
]
actual_last_call = mock_splitter_class.call_args_list[-1]
assert actual_last_call.kwargs['encoding_name'] == "cl100k_base"
assert actual_last_call.kwargs['chunk_size'] == 400
assert actual_last_call.kwargs['chunk_overlap'] == 40
# Verify chunk was sent to output
mock_producer.send.assert_called_once()
sent_chunk = mock_producer.send.call_args[0][0]
assert isinstance(sent_chunk, Chunk)
@patch('trustgraph.base.async_processor.AsyncProcessor', MockAsyncProcessor)
async def test_chunk_document_with_no_overrides(self):
"""Test chunk_document when no parameters are overridden (flow returns None)"""
# Arrange
config = {
'id': 'test-chunker',
'chunk_size': 250,
'chunk_overlap': 15,
'concurrency': 1,
'taskgroup': AsyncMock()
}
processor = Processor(**config)
# Mock message and flow that returns None for all parameters
mock_message = MagicMock()
mock_consumer = MagicMock()
mock_flow = MagicMock()
mock_flow.return_value = None # No overrides
# Act
chunk_size, chunk_overlap = await processor.chunk_document(
mock_message, mock_consumer, mock_flow, 250, 15
)
# Assert
assert chunk_size == 250 # Should use default value
assert chunk_overlap == 15 # Should use default value
@patch('trustgraph.base.async_processor.AsyncProcessor', MockAsyncProcessor)
def test_token_chunker_uses_different_defaults(self):
"""Test that token chunker has different defaults than recursive chunker"""
# Arrange & Act
config = {
'id': 'test-chunker',
'concurrency': 1,
'taskgroup': AsyncMock()
}
processor = Processor(**config)
# Assert - Token chunker should have different defaults
assert processor.default_chunk_size == 250 # Token chunker default
assert processor.default_chunk_overlap == 15 # Token chunker default
@pytest.fixture
def sample_document():
metadata = Metadata(
id="test-doc-1",
metadata=[],
user="test-user",
collection="test-collection"
)
# Create text that will result in multiple token chunks
text = "The quick brown fox jumps over the lazy dog. " * 50
return TextDocument(
metadata=metadata,
text=text.encode("utf-8")
)
@pytest.fixture
def short_document():
metadata = Metadata(
id="test-doc-2",
metadata=[],
user="test-user",
collection="test-collection"
)
text = "Short text."
return TextDocument(
metadata=metadata,
text=text.encode("utf-8")
)
class TestTokenChunker:
def test_init_default_params(self, mock_async_processor_init):
processor = TokenChunker()
assert processor.text_splitter._chunk_size == 250
assert processor.text_splitter._chunk_overlap == 15
# Just verify the text splitter was created (encoding verification is complex)
assert processor.text_splitter is not None
assert hasattr(processor.text_splitter, 'split_text')
def test_init_custom_params(self, mock_async_processor_init):
processor = TokenChunker(chunk_size=100, chunk_overlap=10)
assert processor.text_splitter._chunk_size == 100
assert processor.text_splitter._chunk_overlap == 10
def test_init_with_id(self, mock_async_processor_init):
processor = TokenChunker(id="custom-token-chunker")
assert processor.id == "custom-token-chunker"
@pytest.mark.asyncio
async def test_on_message_single_chunk(self, mock_async_processor_init, mock_flow, mock_consumer, short_document):
flow_mock, output_mock = mock_flow
processor = TokenChunker(chunk_size=250, chunk_overlap=15)
msg = Mock()
msg.value.return_value = short_document
await processor.on_message(msg, mock_consumer, flow_mock)
# Short text should produce exactly one chunk
assert output_mock.send.call_count == 1
# Verify the chunk was created correctly
chunk_call = output_mock.send.call_args[0][0]
assert isinstance(chunk_call, Chunk)
assert chunk_call.metadata == short_document.metadata
assert chunk_call.chunk.decode("utf-8") == short_document.text.decode("utf-8")
@pytest.mark.asyncio
async def test_on_message_multiple_chunks(self, mock_async_processor_init, mock_flow, mock_consumer, sample_document):
flow_mock, output_mock = mock_flow
processor = TokenChunker(chunk_size=50, chunk_overlap=5)
msg = Mock()
msg.value.return_value = sample_document
await processor.on_message(msg, mock_consumer, flow_mock)
# Should produce multiple chunks
assert output_mock.send.call_count > 1
# Verify all chunks have correct metadata
for call in output_mock.send.call_args_list:
chunk = call[0][0]
assert isinstance(chunk, Chunk)
assert chunk.metadata == sample_document.metadata
assert len(chunk.chunk) > 0
@pytest.mark.asyncio
async def test_on_message_token_overlap(self, mock_async_processor_init, mock_flow, mock_consumer):
flow_mock, output_mock = mock_flow
processor = TokenChunker(chunk_size=20, chunk_overlap=5)
# Create a document with repeated pattern
metadata = Metadata(id="test", metadata=[], user="test-user", collection="test-collection")
text = "one two three four five six seven eight nine ten " * 5
document = TextDocument(metadata=metadata, text=text.encode("utf-8"))
msg = Mock()
msg.value.return_value = document
await processor.on_message(msg, mock_consumer, flow_mock)
# Collect all chunks
chunks = []
for call in output_mock.send.call_args_list:
chunk_text = call[0][0].chunk.decode("utf-8")
chunks.append(chunk_text)
# Should have multiple chunks
assert len(chunks) > 1
# Verify chunks are not empty
for chunk in chunks:
assert len(chunk) > 0
@pytest.mark.asyncio
async def test_on_message_empty_document(self, mock_async_processor_init, mock_flow, mock_consumer):
flow_mock, output_mock = mock_flow
processor = TokenChunker()
metadata = Metadata(id="empty", metadata=[], user="test-user", collection="test-collection")
document = TextDocument(metadata=metadata, text=b"")
msg = Mock()
msg.value.return_value = document
await processor.on_message(msg, mock_consumer, flow_mock)
# Empty documents typically don't produce chunks with langchain splitters
# This behavior is expected - no chunks should be produced
assert output_mock.send.call_count == 0
@pytest.mark.asyncio
async def test_on_message_unicode_handling(self, mock_async_processor_init, mock_flow, mock_consumer):
flow_mock, output_mock = mock_flow
processor = TokenChunker(chunk_size=50)
metadata = Metadata(id="unicode", metadata=[], user="test-user", collection="test-collection")
# Test with various unicode characters
text = "Hello 世界! 🌍 Test émojis café naïve résumé. Greek: αβγδε Hebrew: אבגדה"
document = TextDocument(metadata=metadata, text=text.encode("utf-8"))
msg = Mock()
msg.value.return_value = document
await processor.on_message(msg, mock_consumer, flow_mock)
# Verify unicode is preserved correctly
all_chunks = []
for call in output_mock.send.call_args_list:
chunk_text = call[0][0].chunk.decode("utf-8")
all_chunks.append(chunk_text)
# Reconstruct text
reconstructed = "".join(all_chunks)
assert "世界" in reconstructed
assert "🌍" in reconstructed
assert "émojis" in reconstructed
assert "αβγδε" in reconstructed
assert "אבגדה" in reconstructed
@pytest.mark.asyncio
async def test_on_message_token_boundary_preservation(self, mock_async_processor_init, mock_flow, mock_consumer):
flow_mock, output_mock = mock_flow
processor = TokenChunker(chunk_size=10, chunk_overlap=2)
metadata = Metadata(id="boundary", metadata=[], user="test-user", collection="test-collection")
# Text with clear word boundaries
text = "This is a test of token boundaries and proper splitting."
document = TextDocument(metadata=metadata, text=text.encode("utf-8"))
msg = Mock()
msg.value.return_value = document
await processor.on_message(msg, mock_consumer, flow_mock)
# Collect all chunks
chunks = []
for call in output_mock.send.call_args_list:
chunk_text = call[0][0].chunk.decode("utf-8")
chunks.append(chunk_text)
# Token chunker should respect token boundaries
for chunk in chunks:
# Chunks should not start or end with partial words (in most cases)
assert len(chunk.strip()) > 0
@pytest.mark.asyncio
async def test_metrics_recorded(self, mock_async_processor_init, mock_flow, mock_consumer, sample_document):
flow_mock, output_mock = mock_flow
processor = TokenChunker(chunk_size=50)
msg = Mock()
msg.value.return_value = sample_document
# Mock the metric
with patch.object(TokenChunker.chunk_metric, 'labels') as mock_labels:
mock_observe = Mock()
mock_labels.return_value.observe = mock_observe
await processor.on_message(msg, mock_consumer, flow_mock)
# Verify metrics were recorded
mock_labels.assert_called_with(id="test-consumer", flow="test-flow")
assert mock_observe.call_count > 0
# Verify chunk sizes were observed
for call in mock_observe.call_args_list:
chunk_size = call[0][0]
assert chunk_size > 0
def test_add_args(self):
parser = Mock()
TokenChunker.add_args(parser)
# Verify arguments were added
calls = parser.add_argument.call_args_list
arg_names = [call[0][0] for call in calls]
assert '-z' in arg_names or '--chunk-size' in arg_names
assert '-v' in arg_names or '--chunk-overlap' in arg_names
@pytest.mark.asyncio
async def test_encoding_specific_behavior(self, mock_async_processor_init, mock_flow, mock_consumer):
flow_mock, output_mock = mock_flow
processor = TokenChunker(chunk_size=10, chunk_overlap=0)
metadata = Metadata(id="encoding", metadata=[], user="test-user", collection="test-collection")
# Test text that might tokenize differently with cl100k_base encoding
text = "GPT-4 is an AI model. It uses tokens."
document = TextDocument(metadata=metadata, text=text.encode("utf-8"))
msg = Mock()
msg.value.return_value = document
await processor.on_message(msg, mock_consumer, flow_mock)
# Verify chunking happened
assert output_mock.send.call_count >= 1
# Collect all chunks
chunks = []
for call in output_mock.send.call_args_list:
chunk_text = call[0][0].chunk.decode("utf-8")
chunks.append(chunk_text)
# Verify all text is preserved (allowing for overlap)
all_text = " ".join(chunks)
assert "GPT-4" in all_text
assert "AI model" in all_text
assert "tokens" in all_text
if __name__ == '__main__':
pytest.main([__file__])