mirror of
https://github.com/supermemoryai/supermemory.git
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392 lines
13 KiB
Python
392 lines
13 KiB
Python
"""Tests for tools module."""
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import os
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from dotenv import load_dotenv
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import pytest
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import json
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from typing import List
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from openai.types.chat import ChatCompletionMessageToolCall
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load_dotenv()
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# Import from the installed package or src directly
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try:
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# Try importing from the installed package first
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from supermemory_openai_sdk import (
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SupermemoryTools,
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SupermemoryToolsConfig,
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create_supermemory_tools,
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get_memory_tool_definitions,
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execute_memory_tool_calls,
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create_search_memories_tool,
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create_add_memory_tool,
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)
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except ImportError:
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# Fallback to importing from src directory
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import sys
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import os
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# Add src directory to path
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sys.path.insert(0, os.path.join(os.path.dirname(os.path.dirname(__file__)), "src"))
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from tools import (
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SupermemoryTools,
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SupermemoryToolsConfig,
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create_supermemory_tools,
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get_memory_tool_definitions,
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execute_memory_tool_calls,
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create_search_memories_tool,
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create_add_memory_tool,
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)
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# These classes don't exist in the current codebase - commenting out for now
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# SupermemoryOpenAI,
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# SupermemoryInfiniteChatConfigWithProviderName,
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@pytest.fixture
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def test_api_key() -> str:
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"""Get test Supermemory API key from environment."""
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api_key = os.getenv("SUPERMEMORY_API_KEY")
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if not api_key:
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pytest.skip("SUPERMEMORY_API_KEY environment variable is required for tests")
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return api_key
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@pytest.fixture
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def test_provider_api_key() -> str:
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"""Get test provider API key from environment."""
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api_key = os.getenv("PROVIDER_API_KEY")
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if not api_key:
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pytest.skip("PROVIDER_API_KEY environment variable is required for tests")
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return api_key
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@pytest.fixture
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def test_base_url() -> str:
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"""Get test base URL from environment."""
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return os.getenv("SUPERMEMORY_BASE_URL", "")
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@pytest.fixture
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def test_model_name() -> str:
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"""Get test model name from environment."""
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return os.getenv("MODEL_NAME", "gpt-5-nano")
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class TestToolInitialization:
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"""Test tool initialization."""
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def test_create_tools_with_default_configuration(self, test_api_key: str):
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"""Test creating tools with default configuration."""
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config: SupermemoryToolsConfig = {}
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tools = SupermemoryTools(test_api_key, config)
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assert tools is not None
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assert tools.get_tool_definitions() is not None
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assert (
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len(tools.get_tool_definitions()) == 2
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) # Currently has search_memories and add_memory
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def test_create_tools_with_helper(self, test_api_key: str):
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"""Test creating tools with createSupermemoryTools helper."""
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tools = create_supermemory_tools(
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test_api_key,
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{
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"project_id": "test-project",
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},
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)
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assert tools is not None
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assert tools.get_tool_definitions() is not None
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def test_create_tools_with_custom_base_url(
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self, test_api_key: str, test_base_url: str
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):
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"""Test creating tools with custom baseUrl."""
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if not test_base_url:
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pytest.skip("SUPERMEMORY_BASE_URL not provided")
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config: SupermemoryToolsConfig = {
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"base_url": test_base_url,
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}
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tools = SupermemoryTools(test_api_key, config)
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assert tools is not None
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assert (
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len(tools.get_tool_definitions()) == 2
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) # Currently has search_memories and add_memory
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def test_create_tools_with_project_id(self, test_api_key: str):
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"""Test creating tools with projectId configuration."""
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config: SupermemoryToolsConfig = {
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"project_id": "test-project-123",
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}
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tools = SupermemoryTools(test_api_key, config)
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assert tools is not None
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assert (
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len(tools.get_tool_definitions()) == 2
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) # Currently has search_memories and add_memory
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def test_create_tools_with_custom_container_tags(self, test_api_key: str):
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"""Test creating tools with custom container tags."""
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config: SupermemoryToolsConfig = {
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"container_tags": ["custom-tag-1", "custom-tag-2"],
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}
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tools = SupermemoryTools(test_api_key, config)
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assert tools is not None
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assert (
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len(tools.get_tool_definitions()) == 2
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) # Currently has search_memories and add_memory
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class TestToolDefinitions:
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"""Test tool definitions."""
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def test_return_proper_openai_function_definitions(self):
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"""Test returning proper OpenAI function definitions."""
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definitions = get_memory_tool_definitions()
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assert definitions is not None
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assert len(definitions) == 2 # Currently has search_memories and add_memory
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# Check searchMemories
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search_tool = next(
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(d for d in definitions if d["function"]["name"] == "search_memories"), None
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)
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assert search_tool is not None
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assert search_tool["type"] == "function"
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assert "information_to_get" in search_tool["function"]["parameters"]["required"]
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# Check addMemory
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add_tool = next(
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(d for d in definitions if d["function"]["name"] == "add_memory"), None
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)
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assert add_tool is not None
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assert add_tool["type"] == "function"
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assert "memory" in add_tool["function"]["parameters"]["required"]
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def test_consistent_tool_definitions_from_class_and_helper(self, test_api_key: str):
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"""Test that tool definitions are consistent between class and helper."""
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tools = SupermemoryTools(test_api_key)
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class_definitions = tools.get_tool_definitions()
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helper_definitions = get_memory_tool_definitions()
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assert class_definitions == helper_definitions
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class TestMemoryOperations:
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"""Test memory operations."""
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@pytest.mark.asyncio
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async def test_search_memories(self, test_api_key: str, test_base_url: str):
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"""Test searching memories."""
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config: SupermemoryToolsConfig = {
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"project_id": "test-search",
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}
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if test_base_url:
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config["base_url"] = test_base_url
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tools = SupermemoryTools(test_api_key, config)
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result = await tools.search_memories(
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information_to_get="test preferences",
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limit=5,
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)
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assert result is not None
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assert "success" in result
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assert isinstance(result["success"], bool)
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if result["success"]:
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assert "results" in result
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assert "count" in result
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assert isinstance(result["count"], int)
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else:
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assert "error" in result
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@pytest.mark.asyncio
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async def test_add_memory(self, test_api_key: str, test_base_url: str):
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"""Test adding memory."""
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config: SupermemoryToolsConfig = {
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"container_tags": ["test-add-memory"],
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}
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if test_base_url:
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config["base_url"] = test_base_url
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tools = SupermemoryTools(test_api_key, config)
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result = await tools.add_memory(
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memory="User prefers dark roast coffee in the morning - test memory"
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)
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assert result is not None
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assert "success" in result
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assert isinstance(result["success"], bool)
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if result["success"]:
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assert "memory" in result
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else:
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assert "error" in result
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class TestIndividualToolCreators:
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"""Test individual tool creators."""
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def test_create_individual_search_tool(self, test_api_key: str):
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"""Test creating individual search tool."""
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search_tool = create_search_memories_tool(
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test_api_key,
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{
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"project_id": "test-individual",
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},
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)
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assert search_tool is not None
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assert search_tool.definition is not None
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assert callable(search_tool.execute)
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assert search_tool.definition["function"]["name"] == "search_memories"
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def test_create_individual_add_tool(self, test_api_key: str):
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"""Test creating individual add tool."""
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add_tool = create_add_memory_tool(
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test_api_key,
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{
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"project_id": "test-individual",
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},
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)
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assert add_tool is not None
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assert add_tool.definition is not None
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assert callable(add_tool.execute)
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assert add_tool.definition["function"]["name"] == "add_memory"
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class TestOpenAIIntegration:
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"""Test OpenAI integration."""
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def test_placeholder(self):
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"""Placeholder test for OpenAI integration."""
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# TODO: Implement proper OpenAI integration tests when
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# SupermemoryOpenAI and SupermemoryInfiniteChatConfigWithProviderName classes are available
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assert True
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# TODO: Uncomment this test when SupermemoryOpenAI and
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# SupermemoryInfiniteChatConfigWithProviderName classes are implemented
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# @pytest.mark.asyncio
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# async def test_work_with_supermemory_openai_for_function_calling(
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# self,
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# test_api_key: str,
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# test_provider_api_key: str,
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# test_model_name: str,
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# test_base_url: str,
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# ):
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# """Test working with SupermemoryOpenAI for function calling."""
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# client = SupermemoryOpenAI(
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# test_api_key,
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# SupermemoryInfiniteChatConfigWithProviderName(
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# provider_name="openai",
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# provider_api_key=test_provider_api_key,
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# ),
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# )
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# tools_config: SupermemoryToolsConfig = {
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# "project_id": "test-openai-integration",
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# }
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# if test_base_url:
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# tools_config["base_url"] = test_base_url
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# tools = SupermemoryTools(test_api_key, tools_config)
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# response = await client.chat_completion(
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# messages=[
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# {
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# "role": "system",
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# "content": (
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# "You are a helpful assistant with access to user memories. "
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# "When the user asks you to remember something, use the add_memory tool."
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# ),
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# },
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# {
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# "role": "user",
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# "content": "Please remember that I prefer tea over coffee",
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# },
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# ],
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# model=test_model_name,
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# tools=tools.get_tool_definitions(),
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# )
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# assert response is not None
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# assert hasattr(response, "choices")
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# choice = response.choices[0]
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# assert choice.message is not None
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# # If the model decided to use function calling, test the execution
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# if hasattr(choice.message, "tool_calls") and choice.message.tool_calls:
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# tool_results = await execute_memory_tool_calls(
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# test_api_key,
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# choice.message.tool_calls,
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# tools_config,
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# )
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# assert tool_results is not None
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# assert len(tool_results) == len(choice.message.tool_calls)
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# for result in tool_results:
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# assert result["role"] == "tool"
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# assert "content" in result
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# assert "tool_call_id" in result
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@pytest.mark.asyncio
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async def test_handle_multiple_tool_calls(
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self, test_api_key: str, test_base_url: str
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):
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"""Test handling multiple tool calls."""
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tools_config: SupermemoryToolsConfig = {
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"container_tags": ["test-multi-tools"],
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}
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if test_base_url:
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tools_config["base_url"] = test_base_url
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# Simulate tool calls (normally these would come from OpenAI)
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mock_tool_calls: List[ChatCompletionMessageToolCall] = [
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ChatCompletionMessageToolCall(
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id="call_1",
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type="function",
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function={
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"name": "search_memories",
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"arguments": json.dumps({"information_to_get": "preferences"}),
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},
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),
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ChatCompletionMessageToolCall(
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id="call_2",
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type="function",
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function={
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"name": "add_memory",
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"arguments": json.dumps(
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{"memory": "Test memory for multiple calls"}
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),
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},
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),
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]
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results = await execute_memory_tool_calls(
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test_api_key, mock_tool_calls, tools_config
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)
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assert results is not None
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assert len(results) == 2
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assert results[0]["tool_call_id"] == "call_1"
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assert results[1]["tool_call_id"] == "call_2"
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for result in results:
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assert result["role"] == "tool"
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assert "content" in result
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content = json.loads(result["content"])
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assert "success" in content
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