trustgraph/tests/unit/test_gateway/test_dispatch_serialize.py
cybermaggedon 89be656990
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

89 lines
No EOL
2.9 KiB
Python

"""
Tests for Gateway Dispatch Serialization
"""
import pytest
from unittest.mock import MagicMock
from trustgraph.gateway.dispatch.serialize import to_value, to_subgraph, serialize_value
from trustgraph.schema import Value, Triple
class TestDispatchSerialize:
"""Test cases for dispatch serialization functions"""
def test_to_value_with_uri(self):
"""Test to_value function with URI"""
input_data = {"v": "http://example.com/resource", "e": True}
result = to_value(input_data)
assert isinstance(result, Value)
assert result.value == "http://example.com/resource"
assert result.is_uri is True
def test_to_value_with_literal(self):
"""Test to_value function with literal value"""
input_data = {"v": "literal string", "e": False}
result = to_value(input_data)
assert isinstance(result, Value)
assert result.value == "literal string"
assert result.is_uri is False
def test_to_subgraph_with_multiple_triples(self):
"""Test to_subgraph function with multiple triples"""
input_data = [
{
"s": {"v": "subject1", "e": True},
"p": {"v": "predicate1", "e": True},
"o": {"v": "object1", "e": False}
},
{
"s": {"v": "subject2", "e": False},
"p": {"v": "predicate2", "e": True},
"o": {"v": "object2", "e": True}
}
]
result = to_subgraph(input_data)
assert len(result) == 2
assert all(isinstance(triple, Triple) for triple in result)
# Check first triple
assert result[0].s.value == "subject1"
assert result[0].s.is_uri is True
assert result[0].p.value == "predicate1"
assert result[0].p.is_uri is True
assert result[0].o.value == "object1"
assert result[0].o.is_uri is False
# Check second triple
assert result[1].s.value == "subject2"
assert result[1].s.is_uri is False
def test_to_subgraph_with_empty_list(self):
"""Test to_subgraph function with empty input"""
input_data = []
result = to_subgraph(input_data)
assert result == []
def test_serialize_value_with_uri(self):
"""Test serialize_value function with URI value"""
value = Value(value="http://example.com/test", is_uri=True)
result = serialize_value(value)
assert result == {"v": "http://example.com/test", "e": True}
def test_serialize_value_with_literal(self):
"""Test serialize_value function with literal value"""
value = Value(value="test literal", is_uri=False)
result = serialize_value(value)
assert result == {"v": "test literal", "e": False}