trustgraph/tests/unit/test_chunking/test_recursive_chunker.py

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2025-10-06 17:54:26 +01:00
"""
Unit tests for trustgraph.chunking.recursive
Testing parameter override functionality for chunk-size and chunk-overlap
"""
Release/v1.2 (#457) * Bump setup.py versions for 1.1 * PoC MCP server (#419) * Very initial MCP server PoC for TrustGraph * Put service on port 8000 * Add MCP container and packages to buildout * Update docs for API/CLI changes in 1.0 (#421) * Update some API basics for the 0.23/1.0 API change * Add MCP container push (#425) * Add command args to the MCP server (#426) * Host and port parameters * Added websocket arg * More docs * MCP client support (#427) - MCP client service - Tool request/response schema - API gateway support for mcp-tool - Message translation for tool request & response - Make mcp-tool using configuration service for information about where the MCP services are. * Feature/react call mcp (#428) Key Features - MCP Tool Integration: Added core MCP tool support with ToolClientSpec and ToolClient classes - API Enhancement: New mcp_tool method for flow-specific tool invocation - CLI Tooling: New tg-invoke-mcp-tool command for testing MCP integration - React Agent Enhancement: Fixed and improved multi-tool invocation capabilities - Tool Management: Enhanced CLI for tool configuration and management Changes - Added MCP tool invocation to API with flow-specific integration - Implemented ToolClientSpec and ToolClient for tool call handling - Updated agent-manager-react to invoke MCP tools with configurable types - Enhanced CLI with new commands and improved help text - Added comprehensive documentation for new CLI commands - Improved tool configuration management Testing - Added tg-invoke-mcp-tool CLI command for isolated MCP integration testing - Enhanced agent capability to invoke multiple tools simultaneously * Test suite executed from CI pipeline (#433) * Test strategy & test cases * Unit tests * Integration tests * Extending test coverage (#434) * Contract tests * Testing embeedings * Agent unit tests * Knowledge pipeline tests * Turn on contract tests * Increase storage test coverage (#435) * Fixing storage and adding tests * PR pipeline only runs quick tests * Empty configuration is returned as empty list, previously was not in response (#436) * Update config util to take files as well as command-line text (#437) * Updated CLI invocation and config model for tools and mcp (#438) * Updated CLI invocation and config model for tools and mcp * CLI anomalies * Tweaked the MCP tool implementation for new model * Update agent implementation to match the new model * Fix agent tools, now all tested * Fixed integration tests * Fix MCP delete tool params * Update Python deps to 1.2 * Update to enable knowledge extraction using the agent framework (#439) * Implement KG extraction agent (kg-extract-agent) * Using ReAct framework (agent-manager-react) * ReAct manager had an issue when emitting JSON, which conflicts which ReAct manager's own JSON messages, so refactored ReAct manager to use traditional ReAct messages, non-JSON structure. * Minor refactor to take the prompt template client out of prompt-template so it can be more readily used by other modules. kg-extract-agent uses this framework. * Migrate from setup.py to pyproject.toml (#440) * Converted setup.py to pyproject.toml * Modern package infrastructure as recommended by py docs * Install missing build deps (#441) * Install missing build deps (#442) * Implement logging strategy (#444) * Logging strategy and convert all prints() to logging invocations * Fix/startup failure (#445) * Fix loggin startup problems * Fix logging startup problems (#446) * Fix logging startup problems (#447) * Fixed Mistral OCR to use current API (#448) * Fixed Mistral OCR to use current API * Added PDF decoder tests * Fix Mistral OCR ident to be standard pdf-decoder (#450) * Fix Mistral OCR ident to be standard pdf-decoder * Correct test * Schema structure refactor (#451) * Write schema refactor spec * Implemented schema refactor spec * Structure data mvp (#452) * Structured data tech spec * Architecture principles * New schemas * Updated schemas and specs * Object extractor * Add .coveragerc * New tests * Cassandra object storage * Trying to object extraction working, issues exist * Validate librarian collection (#453) * Fix token chunker, broken API invocation (#454) * Fix token chunker, broken API invocation (#455) * Knowledge load utility CLI (#456) * Knowledge loader * More tests
2025-08-18 20:56:09 +01:00
import pytest
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from unittest.mock import AsyncMock, MagicMock, patch
from unittest import IsolatedAsyncioTestCase
# Import the service under test
from trustgraph.chunking.recursive.chunker import Processor
Release/v1.2 (#457) * Bump setup.py versions for 1.1 * PoC MCP server (#419) * Very initial MCP server PoC for TrustGraph * Put service on port 8000 * Add MCP container and packages to buildout * Update docs for API/CLI changes in 1.0 (#421) * Update some API basics for the 0.23/1.0 API change * Add MCP container push (#425) * Add command args to the MCP server (#426) * Host and port parameters * Added websocket arg * More docs * MCP client support (#427) - MCP client service - Tool request/response schema - API gateway support for mcp-tool - Message translation for tool request & response - Make mcp-tool using configuration service for information about where the MCP services are. * Feature/react call mcp (#428) Key Features - MCP Tool Integration: Added core MCP tool support with ToolClientSpec and ToolClient classes - API Enhancement: New mcp_tool method for flow-specific tool invocation - CLI Tooling: New tg-invoke-mcp-tool command for testing MCP integration - React Agent Enhancement: Fixed and improved multi-tool invocation capabilities - Tool Management: Enhanced CLI for tool configuration and management Changes - Added MCP tool invocation to API with flow-specific integration - Implemented ToolClientSpec and ToolClient for tool call handling - Updated agent-manager-react to invoke MCP tools with configurable types - Enhanced CLI with new commands and improved help text - Added comprehensive documentation for new CLI commands - Improved tool configuration management Testing - Added tg-invoke-mcp-tool CLI command for isolated MCP integration testing - Enhanced agent capability to invoke multiple tools simultaneously * Test suite executed from CI pipeline (#433) * Test strategy & test cases * Unit tests * Integration tests * Extending test coverage (#434) * Contract tests * Testing embeedings * Agent unit tests * Knowledge pipeline tests * Turn on contract tests * Increase storage test coverage (#435) * Fixing storage and adding tests * PR pipeline only runs quick tests * Empty configuration is returned as empty list, previously was not in response (#436) * Update config util to take files as well as command-line text (#437) * Updated CLI invocation and config model for tools and mcp (#438) * Updated CLI invocation and config model for tools and mcp * CLI anomalies * Tweaked the MCP tool implementation for new model * Update agent implementation to match the new model * Fix agent tools, now all tested * Fixed integration tests * Fix MCP delete tool params * Update Python deps to 1.2 * Update to enable knowledge extraction using the agent framework (#439) * Implement KG extraction agent (kg-extract-agent) * Using ReAct framework (agent-manager-react) * ReAct manager had an issue when emitting JSON, which conflicts which ReAct manager's own JSON messages, so refactored ReAct manager to use traditional ReAct messages, non-JSON structure. * Minor refactor to take the prompt template client out of prompt-template so it can be more readily used by other modules. kg-extract-agent uses this framework. * Migrate from setup.py to pyproject.toml (#440) * Converted setup.py to pyproject.toml * Modern package infrastructure as recommended by py docs * Install missing build deps (#441) * Install missing build deps (#442) * Implement logging strategy (#444) * Logging strategy and convert all prints() to logging invocations * Fix/startup failure (#445) * Fix loggin startup problems * Fix logging startup problems (#446) * Fix logging startup problems (#447) * Fixed Mistral OCR to use current API (#448) * Fixed Mistral OCR to use current API * Added PDF decoder tests * Fix Mistral OCR ident to be standard pdf-decoder (#450) * Fix Mistral OCR ident to be standard pdf-decoder * Correct test * Schema structure refactor (#451) * Write schema refactor spec * Implemented schema refactor spec * Structure data mvp (#452) * Structured data tech spec * Architecture principles * New schemas * Updated schemas and specs * Object extractor * Add .coveragerc * New tests * Cassandra object storage * Trying to object extraction working, issues exist * Validate librarian collection (#453) * Fix token chunker, broken API invocation (#454) * Fix token chunker, broken API invocation (#455) * Knowledge load utility CLI (#456) * Knowledge loader * More tests
2025-08-18 20:56:09 +01:00
from trustgraph.schema import TextDocument, Chunk, Metadata
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class MockAsyncProcessor:
def __init__(self, **params):
self.config_handlers = []
self.id = params.get('id', 'test-service')
self.specifications = []
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
if __name__ == '__main__':
pytest.main([__file__])