misc / A-mem /tests /test_memory_system.py
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import unittest
from agentic_memory.memory_system import AgenticMemorySystem, MemoryNote
from datetime import datetime
class TestAgenticMemorySystem(unittest.TestCase):
def setUp(self):
"""Set up test environment before each test."""
self.memory_system = AgenticMemorySystem(
model_name='all-MiniLM-L6-v2',
llm_backend="openai",
llm_model="gpt-4o-mini"
)
def test_create_memory(self):
"""Test creating a new memory with complete metadata."""
content = "Test memory content"
tags = ["test", "memory"]
keywords = ["test", "content"]
links = ["link1", "link2"]
context = "Test context"
category = "Test category"
timestamp = datetime.now().strftime("%Y%m%d%H%M")
memory_id = self.memory_system.add_note(
content=content,
tags=tags,
keywords=keywords,
links=links,
context=context,
category=category,
timestamp=timestamp
)
# Verify memory was created
self.assertIsNotNone(memory_id)
memory = self.memory_system.read(memory_id)
self.assertIsNotNone(memory)
self.assertEqual(memory.content, content)
self.assertEqual(memory.tags, tags)
self.assertEqual(memory.keywords, keywords)
self.assertEqual(memory.links, links)
self.assertEqual(memory.context, context)
self.assertEqual(memory.category, category)
self.assertEqual(memory.timestamp, timestamp)
def test_memory_metadata_persistence(self):
"""Test that memory metadata persists through ChromaDB storage and retrieval."""
# Create a memory with complex metadata
content = "Complex test memory"
tags = ["test", "complex", "metadata"]
keywords = ["test", "complex", "keywords"]
links = ["link1", "link2", "link3"]
context = "Complex test context"
category = "Complex test category"
timestamp = datetime.now().strftime("%Y%m%d%H%M")
evolution_history = ["evolution1", "evolution2"]
memory_id = self.memory_system.add_note(
content=content,
tags=tags,
keywords=keywords,
links=links,
context=context,
category=category,
timestamp=timestamp,
evolution_history=evolution_history
)
# Search for the memory using ChromaDB
results = self.memory_system.search_agentic(content, k=1)
self.assertGreater(len(results), 0)
# Verify metadata in search results
result = results[0]
self.assertEqual(result['content'], content)
self.assertEqual(result['tags'], tags)
self.assertEqual(result['keywords'], keywords)
self.assertEqual(result['context'], context)
self.assertEqual(result['category'], category)
def test_memory_update(self):
"""Test updating memory metadata through ChromaDB."""
# Create initial memory
content = "Initial content"
memory_id = self.memory_system.add_note(content=content)
# Update memory with new metadata
new_content = "Updated content"
new_tags = ["updated", "tags"]
new_keywords = ["updated", "keywords"]
new_context = "Updated context"
success = self.memory_system.update(
memory_id,
content=new_content,
tags=new_tags,
keywords=new_keywords,
context=new_context
)
self.assertTrue(success)
# Verify updates in ChromaDB
results = self.memory_system.search_agentic(new_content, k=1)
self.assertGreater(len(results), 0)
result = results[0]
self.assertEqual(result['content'], new_content)
self.assertEqual(result['tags'], new_tags)
self.assertEqual(result['keywords'], new_keywords)
self.assertEqual(result['context'], new_context)
def test_memory_relationships(self):
"""Test memory relationships and linked memories."""
# Create related memories
content1 = "First memory"
content2 = "Second memory"
content3 = "Third memory"
id1 = self.memory_system.add_note(content1)
id2 = self.memory_system.add_note(content2)
id3 = self.memory_system.add_note(content3)
# Add relationships
memory1 = self.memory_system.read(id1)
memory2 = self.memory_system.read(id2)
memory3 = self.memory_system.read(id3)
memory1.links.append(id2)
memory2.links.append(id1)
memory2.links.append(id3)
memory3.links.append(id2)
# Update memories with relationships
self.memory_system.update(id1, links=memory1.links)
self.memory_system.update(id2, links=memory2.links)
self.memory_system.update(id3, links=memory3.links)
# Test relationship retrieval
results = self.memory_system.search_agentic(content1, k=3)
self.assertGreater(len(results), 0)
# Verify relationships are maintained
memory1_updated = self.memory_system.read(id1)
self.assertIn(id2, memory1_updated.links)
def test_memory_evolution(self):
"""Test memory evolution system with ChromaDB."""
# Create related memories
contents = [
"Deep learning neural networks",
"Neural network architectures",
"Training deep neural networks"
]
memory_ids = []
for content in contents:
memory_id = self.memory_system.add_note(content)
memory_ids.append(memory_id)
# Verify that memories have been properly evolved
for memory_id in memory_ids:
memory = self.memory_system.read(memory_id)
self.assertIsNotNone(memory.tags)
self.assertIsNotNone(memory.context)
self.assertIsNotNone(memory.keywords)
# Test evolution through search
results = self.memory_system.search_agentic("neural networks", k=3)
self.assertGreater(len(results), 0)
# Verify evolution metadata
for result in results:
self.assertIsNotNone(result['tags'])
self.assertIsNotNone(result['context'])
self.assertIsNotNone(result['keywords'])
def test_memory_deletion(self):
"""Test memory deletion from ChromaDB."""
# Create and delete a memory
content = "Memory to delete"
memory_id = self.memory_system.add_note(content)
# Verify memory exists
memory = self.memory_system.read(memory_id)
self.assertIsNotNone(memory)
# Delete memory
success = self.memory_system.delete(memory_id)
self.assertTrue(success)
# Verify deletion
memory = self.memory_system.read(memory_id)
self.assertIsNone(memory)
# Verify memory is removed from ChromaDB
results = self.memory_system.search_agentic(content, k=1)
self.assertEqual(len(results), 0)
def test_memory_consolidation(self):
"""Test memory consolidation with ChromaDB."""
# Create multiple memories
contents = [
"Memory 1",
"Memory 2",
"Memory 3"
]
for content in contents:
self.memory_system.add_note(content)
# Force consolidation
self.memory_system.consolidate_memories()
# Verify memories are still accessible
for content in contents:
results = self.memory_system.search_agentic(content, k=1)
self.assertGreater(len(results), 0)
self.assertEqual(results[0]['content'], content)
def test_find_related_memories(self):
"""Test finding related memories."""
# Create test memories
contents = [
"Python programming language",
"Python data science",
"Machine learning with Python",
"Web development with JavaScript"
]
for content in contents:
self.memory_system.add_note(content)
# Test finding related memories
results = self.memory_system.find_related_memories("Python", k=2)
self.assertGreater(len(results), 0)
def test_find_related_memories_raw(self):
"""Test finding related memories with raw format."""
# Create test memories
contents = [
"Python programming language",
"Python data science",
"Machine learning with Python"
]
for content in contents:
self.memory_system.add_note(content)
# Test finding related memories in raw format
results = self.memory_system.find_related_memories_raw("Python", k=2)
self.assertIsNotNone(results)
def test_process_memory(self):
"""Test memory processing and evolution."""
# Create a test memory
content = "Test memory for processing"
memory_id = self.memory_system.add_note(content)
# Get the memory
memory = self.memory_system.read(memory_id)
# Process the memory
should_evolve, processed_memory = self.memory_system.process_memory(memory)
# Verify processing results
self.assertIsInstance(should_evolve, bool)
self.assertIsInstance(processed_memory, MemoryNote)
self.assertIsNotNone(processed_memory.tags)
self.assertIsNotNone(processed_memory.context)
self.assertIsNotNone(processed_memory.keywords)
if __name__ == '__main__':
unittest.main()