|
| 1 | +import json |
| 2 | +from collections import deque |
| 3 | +from unittest.mock import MagicMock |
| 4 | + |
| 5 | +import pytest |
| 6 | + |
| 7 | +from mesa_llm.memory.episodic_memory import EpisodicMemory |
| 8 | +from mesa_llm.memory.memory import MemoryEntry |
| 9 | + |
| 10 | + |
| 11 | +@pytest.fixture |
| 12 | +def mock_agent(): |
| 13 | + agent = MagicMock(name="MockLLMAgent") |
| 14 | + |
| 15 | + # Create a MagicMock for the LLM's response |
| 16 | + mock_response = MagicMock() |
| 17 | + |
| 18 | + # This line *defines* the full nested path on the mock |
| 19 | + mock_response.choices[0].message.content = json.dumps({"grade": 3}) |
| 20 | + |
| 21 | + # Set this as the return value |
| 22 | + agent.llm.generate.return_value = mock_response |
| 23 | + |
| 24 | + agent.model.steps = 100 |
| 25 | + return agent |
| 26 | + |
| 27 | + |
| 28 | +class TestEpisodicMemory: |
| 29 | + """Core functionality test""" |
| 30 | + |
| 31 | + def test_memory_init(self, mock_agent): |
| 32 | + """Test EpisodicMemory class initialization with defaults and custom values""" |
| 33 | + memory = EpisodicMemory( |
| 34 | + agent=mock_agent, |
| 35 | + max_capacity=10, |
| 36 | + considered_entries=5, |
| 37 | + llm_model="provider/test_model", |
| 38 | + ) |
| 39 | + |
| 40 | + assert memory.agent == mock_agent |
| 41 | + assert memory.max_capacity == 10 |
| 42 | + assert memory.considered_entries == 5 |
| 43 | + assert isinstance(memory.memory_entries, deque) |
| 44 | + assert memory.memory_entries.maxlen == 10 |
| 45 | + assert memory.system_prompt is not None |
| 46 | + """FYI: The above line may not always work; use the one below if needed.""" |
| 47 | + # assert isinstance(memory.system_prompt,str), memory.system_prompt.strip() != "" |
| 48 | + |
| 49 | + def test_add_memory_entry(self, mock_agent): |
| 50 | + """Test adding memories to Episodic memory""" |
| 51 | + memory = EpisodicMemory(agent=mock_agent, llm_model="provider/test_model") |
| 52 | + |
| 53 | + # Test basic addition with observation |
| 54 | + memory.add_to_memory("observation", {"step": 1, "content": "Test content"}) |
| 55 | + |
| 56 | + # Test with planning |
| 57 | + memory.add_to_memory("planning", {"plan": "Test plan", "importance": "high"}) |
| 58 | + |
| 59 | + # Test with action |
| 60 | + memory.add_to_memory("action", {"action": "Test action"}) |
| 61 | + |
| 62 | + # Should be empty step_content initially |
| 63 | + assert memory.step_content != {} |
| 64 | + |
| 65 | + def test_grade_event_importance(self, mock_agent): |
| 66 | + """Test grading event importance""" |
| 67 | + memory = EpisodicMemory(agent=mock_agent, llm_model="provider/test_model") |
| 68 | + |
| 69 | + # 1. Set up a specific grade for this test |
| 70 | + mock_response = MagicMock() |
| 71 | + mock_response.choices[0].message.content = json.dumps({"grade": 5}) |
| 72 | + mock_agent.llm.generate.return_value = mock_response |
| 73 | + |
| 74 | + # 2. Call the method |
| 75 | + grade = memory.grade_event_importance("observation", {"data": "critical info"}) |
| 76 | + |
| 77 | + # 3. Assert the grade is correct |
| 78 | + assert grade == 5 |
| 79 | + |
| 80 | + # 4. Assert the LLM was called correctly |
| 81 | + mock_agent.llm.generate.assert_called_once() |
| 82 | + |
| 83 | + # Check that the system prompt was set on the llm object |
| 84 | + assert memory.llm.system_prompt == memory.system_prompt |
| 85 | + |
| 86 | + def test_retrieve_top_k_entries(self, mock_agent): |
| 87 | + """Test the sorting logic for retrieving entries (importance - recency_penalty).""" |
| 88 | + memory = EpisodicMemory(agent=mock_agent, llm_model="provider/test_model") |
| 89 | + # Set current step |
| 90 | + mock_agent.model.steps = 100 |
| 91 | + |
| 92 | + # Manually add entries to bypass grading and control scores |
| 93 | + # score = importance - (current_step - entry_step) |
| 94 | + |
| 95 | + # score = 5 - (100 - 98) = 3 |
| 96 | + entry_a = MemoryEntry( |
| 97 | + content={"importance": 5, "id": "A"}, step=98, agent=mock_agent |
| 98 | + ) |
| 99 | + # score = 1 - (100 - 99) = 0 |
| 100 | + entry_b = MemoryEntry( |
| 101 | + content={"importance": 1, "id": "B"}, step=99, agent=mock_agent |
| 102 | + ) |
| 103 | + # score = 4 - (100 - 90) = -6 |
| 104 | + entry_c = MemoryEntry( |
| 105 | + content={"importance": 4, "id": "C"}, step=90, agent=mock_agent |
| 106 | + ) |
| 107 | + # score = 4 - (100 - 95) = -1 |
| 108 | + entry_d = MemoryEntry( |
| 109 | + content={"importance": 4, "id": "D"}, step=95, agent=mock_agent |
| 110 | + ) |
| 111 | + |
| 112 | + memory.memory_entries.extend([entry_a, entry_b, entry_c, entry_d]) |
| 113 | + |
| 114 | + # Retrieve top 3 (k=3) |
| 115 | + top_entries = memory.retrieve_top_k_entries(3) |
| 116 | + |
| 117 | + # Expected order: A (3), B (0), D (-1) |
| 118 | + assert len(top_entries) == 3 |
| 119 | + assert top_entries[0].content["id"] == "A" |
| 120 | + assert top_entries[1].content["id"] == "B" |
| 121 | + assert top_entries[2].content["id"] == "D" |
| 122 | + |
| 123 | + # Entry C (score -6) should be omitted |
| 124 | + assert "C" not in [e.content["id"] for e in top_entries] |
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