supermemory/packages/agent-framework-python/tests/test_utils.py
Dhravya 984297b62d
Add Supermemory integration for Microsoft Agent Framework (#775)
## Summary

This PR introduces comprehensive Supermemory integration for the Microsoft Agent Framework, providing three complementary approaches to add persistent memory capabilities to agents: middleware for automatic memory injection, context providers for session-based memory management, and tools for explicit memory operations.

## Key Changes

- **SupermemoryChatMiddleware**: Automatic memory injection middleware that fetches relevant memories from Supermemory before LLM calls and optionally saves conversations. Supports three modes:
  - `"profile"`: Injects all static and dynamic profile memories
  - `"query"`: Searches for memories relevant to the current user message
  - `"full"`: Combines both profile and query modes

- **SupermemoryContextProvider**: Idiomatic context provider following the Agent Framework pattern (similar to built-in Mem0 integration). Integrates with the session pipeline via `before_run()` and `after_run()` hooks for automatic memory retrieval and storage.

- **SupermemoryTools**: FunctionTool-compatible tools that agents can use for explicit memory operations:
  - `search_memories()`: Search for specific memories
  - `add_memory()`: Add new memories
  - `get_profile()`: Retrieve user profile

- **Utility Functions**: Helper functions for:
  - Memory deduplication across static, dynamic, and search result sources
  - Profile-to-markdown conversion for LLM consumption
  - Message extraction and conversation formatting
  - Logging with configurable verbosity

- **Exception Hierarchy**: Custom exceptions for better error handling:
  - `SupermemoryConfigurationError`: Missing/invalid configuration
  - `SupermemoryAPIError`: API request failures
  - `SupermemoryNetworkError`: Network connectivity issues
  - `SupermemoryMemoryOperationError`: Memory operation failures

- **Comprehensive Documentation**: README with quick start examples, configuration options, and API reference for all three integration approaches.

- **Test Suite**: Unit tests covering middleware, context provider, tools, and utility functions with proper mocking and error scenarios.

## Implementation Details

- Supports both async (aiohttp) and sync (requests) HTTP clients with automatic fallback
- Handles multiple message formats (dict, objects with attributes, content arrays)
- Configurable memory storage with optional conversation grouping via `conversation_id`
- Environment variable fallback for API key configuration (`SUPERMEMORY_API_KEY`)
- Background task management for non-blocking memory operations in middleware
- Proper async/sync compatibility for the Supermemory SDK

https://claude.ai/code/session_012idB5y6UGK3zmeFULgTc4z
2026-03-10 01:49:45 +00:00

107 lines
3.6 KiB
Python

"""Tests for utility functions."""
import pytest
from supermemory_agent_framework.utils import (
DeduplicatedMemories,
SimpleLogger,
convert_profile_to_markdown,
create_logger,
deduplicate_memories,
)
class TestDeduplicateMemories:
def test_empty_inputs(self) -> None:
result = deduplicate_memories()
assert result.static == []
assert result.dynamic == []
assert result.search_results == []
def test_static_only(self) -> None:
result = deduplicate_memories(
static=[{"memory": "User likes Python"}],
)
assert result.static == ["User likes Python"]
assert result.dynamic == []
assert result.search_results == []
def test_deduplication_priority(self) -> None:
result = deduplicate_memories(
static=[{"memory": "User likes Python"}],
dynamic=[{"memory": "User likes Python"}, {"memory": "User works remotely"}],
search_results=[{"memory": "User likes Python"}, {"memory": "User prefers async"}],
)
assert result.static == ["User likes Python"]
assert result.dynamic == ["User works remotely"]
assert result.search_results == ["User prefers async"]
def test_string_format(self) -> None:
result = deduplicate_memories(
static=["User likes Python"],
dynamic=["User works remotely"],
)
assert result.static == ["User likes Python"]
assert result.dynamic == ["User works remotely"]
def test_empty_strings_filtered(self) -> None:
result = deduplicate_memories(
static=["", " ", "User likes Python"],
)
assert result.static == ["User likes Python"]
def test_none_items_filtered(self) -> None:
result = deduplicate_memories(
static=[None, {"memory": "valid"}],
)
assert result.static == ["valid"]
class TestConvertProfileToMarkdown:
def test_empty_profile(self) -> None:
result = convert_profile_to_markdown({"profile": {}})
assert result == ""
def test_static_only(self) -> None:
result = convert_profile_to_markdown(
{"profile": {"static": ["Likes Python", "Lives in SF"]}}
)
assert "## Static Profile" in result
assert "- Likes Python" in result
assert "- Lives in SF" in result
def test_both_sections(self) -> None:
result = convert_profile_to_markdown(
{
"profile": {
"static": ["Likes Python"],
"dynamic": ["Asked about AI"],
}
}
)
assert "## Static Profile" in result
assert "## Dynamic Profile" in result
class TestLogger:
def test_verbose_logger(self, capsys: pytest.CaptureFixture[str]) -> None:
logger = SimpleLogger(verbose=True)
logger.info("test message")
captured = capsys.readouterr()
assert "[supermemory] test message" in captured.out
def test_silent_logger(self, capsys: pytest.CaptureFixture[str]) -> None:
logger = SimpleLogger(verbose=False)
logger.info("test message")
captured = capsys.readouterr()
assert captured.out == ""
def test_error_prefix(self, capsys: pytest.CaptureFixture[str]) -> None:
logger = SimpleLogger(verbose=True)
logger.error("something failed")
captured = capsys.readouterr()
assert "ERROR:" in captured.out
def test_create_logger(self) -> None:
logger = create_logger(True)
assert isinstance(logger, SimpleLogger)