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
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@ -0,0 +1,153 @@
import pytest
from unittest.mock import AsyncMock, Mock, patch
from trustgraph.schema import TextDocument, Metadata
from trustgraph.chunking.recursive.chunker import Processor as RecursiveChunker
from trustgraph.chunking.token.chunker import Processor as TokenChunker
from prometheus_client import REGISTRY
@pytest.fixture
def mock_flow():
"""Mock flow function that returns a mock output producer."""
output_mock = AsyncMock()
flow_mock = Mock(return_value=output_mock)
return flow_mock, output_mock
@pytest.fixture
def mock_consumer():
"""Mock consumer with test attributes."""
consumer = Mock()
consumer.id = "test-consumer"
consumer.flow = "test-flow"
return consumer
@pytest.fixture
def sample_text_document():
"""Sample document with moderate length text."""
metadata = Metadata(
id="test-doc-1",
metadata=[],
user="test-user",
collection="test-collection"
)
text = "The quick brown fox jumps over the lazy dog. " * 20
return TextDocument(
metadata=metadata,
text=text.encode("utf-8")
)
@pytest.fixture
def long_text_document():
"""Long document for testing multiple chunks."""
metadata = Metadata(
id="test-doc-long",
metadata=[],
user="test-user",
collection="test-collection"
)
# Create a long text that will definitely be chunked
text = " ".join([f"Sentence number {i}. This is part of a long document." for i in range(200)])
return TextDocument(
metadata=metadata,
text=text.encode("utf-8")
)
@pytest.fixture
def unicode_text_document():
"""Document with various unicode characters."""
metadata = Metadata(
id="test-doc-unicode",
metadata=[],
user="test-user",
collection="test-collection"
)
text = """
English: Hello World!
Chinese: 你好世界
Japanese: こんにちは世界
Korean: 안녕하세요 세계
Arabic: مرحبا بالعالم
Russian: Привет мир
Emoji: 🌍 🌎 🌏 😀 🎉
Math: π
Symbols: © ® £ ¥
"""
return TextDocument(
metadata=metadata,
text=text.encode("utf-8")
)
@pytest.fixture
def empty_text_document():
"""Empty document for edge case testing."""
metadata = Metadata(
id="test-doc-empty",
metadata=[],
user="test-user",
collection="test-collection"
)
return TextDocument(
metadata=metadata,
text=b""
)
@pytest.fixture
def mock_message(sample_text_document):
"""Mock message containing a document."""
msg = Mock()
msg.value.return_value = sample_text_document
return msg
@pytest.fixture(autouse=True)
def clear_metrics():
"""Clear metrics before each test to avoid duplicates."""
# Clear the chunk_metric class attribute if it exists
if hasattr(RecursiveChunker, 'chunk_metric'):
# Unregister from Prometheus registry first
try:
REGISTRY.unregister(RecursiveChunker.chunk_metric)
except KeyError:
pass # Already unregistered
delattr(RecursiveChunker, 'chunk_metric')
if hasattr(TokenChunker, 'chunk_metric'):
try:
REGISTRY.unregister(TokenChunker.chunk_metric)
except KeyError:
pass # Already unregistered
delattr(TokenChunker, 'chunk_metric')
yield
# Clean up after test as well
if hasattr(RecursiveChunker, 'chunk_metric'):
try:
REGISTRY.unregister(RecursiveChunker.chunk_metric)
except KeyError:
pass
delattr(RecursiveChunker, 'chunk_metric')
if hasattr(TokenChunker, 'chunk_metric'):
try:
REGISTRY.unregister(TokenChunker.chunk_metric)
except KeyError:
pass
delattr(TokenChunker, 'chunk_metric')
@pytest.fixture
def mock_async_processor_init():
"""Mock AsyncProcessor.__init__ to avoid taskgroup requirement."""
def init_mock(self, **kwargs):
# Set attributes that AsyncProcessor would normally set
self.config_handlers = []
self.specifications = []
self.flows = {}
self.id = kwargs.get('id', 'test-processor')
# Don't call the real __init__
with patch('trustgraph.base.async_processor.AsyncProcessor.__init__', init_mock):
yield