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"""
Comprehensive Unit Test Suite for Agent Workflow.
Tests all possible question scenarios to ensure proper routing and memory tracking.
Run with: python backend/tests/test_workflow_comprehensive.py
"""
import sys
import os
# Add parent directory to path for module imports
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
import pytest
import asyncio
import json
from unittest.mock import AsyncMock, MagicMock, patch
# Test utilities
def create_mock_state(session_id="test-session", messages=None, image_data_list=None):
"""Create a mock AgentState for testing."""
from langchain_core.messages import HumanMessage
return {
"session_id": session_id,
"messages": messages or [HumanMessage(content="Test question")],
"image_data_list": image_data_list or [],
"ocr_text": "",
"ocr_results": [],
"execution_plan": None,
"question_results": [],
"current_agent": "planner",
"final_response": None,
"tool_result": None,
"tool_success": False,
"agents_used": [],
"tools_called": [],
"model_calls": [],
"context_status": "normal",
"context_message": "",
"session_token_count": 0,
# Additional required fields
"total_tokens": 0,
"total_duration_ms": 0,
"selected_tool": None,
"should_use_tools": False,
"wolfram_query": None,
"wolfram_attempts": 0,
"code_task": None,
"generated_code": None,
"error_message": None,
"image_data": None,
}
class TestPlannerNode:
"""Tests for planner_node routing logic."""
@pytest.mark.asyncio
async def test_all_direct_returns_text(self):
"""Test Case 1: All direct questions -> Planner returns text, current_agent='done'."""
from backend.agent.nodes import planner_node
state = create_mock_state()
# Mock LLM to return plain text (all direct answers)
mock_response = MagicMock()
mock_response.content = "## Bài 1:\nĐây là lời giải câu 1.\n\n## Bài 2:\nĐây là lời giải câu 2."
with patch("backend.agent.nodes.get_model") as mock_get_model, \
patch("backend.agent.nodes.memory_tracker") as mock_memory:
mock_llm = AsyncMock()
mock_llm.ainvoke.return_value = mock_response
mock_get_model.return_value = mock_llm
mock_status = MagicMock()
mock_status.status = "normal"
mock_status.used_tokens = 100
mock_status.message = ""
mock_memory.check_status.return_value = mock_status
result = await planner_node(state)
assert result["current_agent"] == "done", "All-direct should set current_agent to 'done'"
assert result["final_response"] is not None, "Should have final_response set"
assert "Bài 1" in result["final_response"], "Should contain direct answer"
print("✅ Test Case 1 PASSED: All Direct -> Text -> Done")
@pytest.mark.asyncio
async def test_mixed_questions_returns_json(self):
"""Test Case 2: Mixed questions -> Planner returns JSON, current_agent='executor'."""
from backend.agent.nodes import planner_node
state = create_mock_state()
# Mock LLM to return JSON (mixed questions)
mock_json = {
"questions": [
{"id": 1, "content": "Câu hỏi 1", "type": "direct", "answer": "Đáp án 1"},
{"id": 2, "content": "Câu hỏi 2", "type": "code", "tool_input": "Viết code..."}
]
}
mock_response = MagicMock()
mock_response.content = json.dumps(mock_json)
with patch("backend.agent.nodes.get_model") as mock_get_model, \
patch("backend.agent.nodes.memory_tracker") as mock_memory:
mock_llm = AsyncMock()
mock_llm.ainvoke.return_value = mock_response
mock_get_model.return_value = mock_llm
mock_status = MagicMock()
mock_status.status = "normal"
mock_status.used_tokens = 100
mock_status.message = ""
mock_memory.check_status.return_value = mock_status
result = await planner_node(state)
assert result["current_agent"] == "executor", "Mixed questions should route to executor"
assert result["execution_plan"] is not None, "Should have execution_plan set"
assert len(result["execution_plan"]["questions"]) == 2, "Plan should have 2 questions"
print("✅ Test Case 2 PASSED: Mixed -> JSON -> Executor")
@pytest.mark.asyncio
async def test_memory_overflow_blocks_execution(self):
"""Test Case 5: Memory overflow should stop execution."""
from backend.agent.nodes import planner_node
state = create_mock_state()
mock_response = MagicMock()
mock_response.content = json.dumps({"questions": [{"id": 1, "type": "code", "tool_input": "x"}]})
with patch("backend.agent.nodes.get_model") as mock_get_model, \
patch("backend.agent.nodes.memory_tracker") as mock_memory:
mock_llm = AsyncMock()
mock_llm.ainvoke.return_value = mock_response
mock_get_model.return_value = mock_llm
# Simulate memory overflow
mock_status = MagicMock()
mock_status.status = "blocked"
mock_status.used_tokens = 100000
mock_status.message = "Bộ nhớ phiên đã đầy!"
mock_memory.check_status.return_value = mock_status
result = await planner_node(state)
assert result["current_agent"] == "done", "Memory overflow should stop execution"
assert "Bộ nhớ" in result["final_response"], "Should show memory warning"
print("✅ Test Case 5 PASSED: Memory Overflow -> Blocked")
@pytest.mark.asyncio
async def test_json_repair_latex_backslashes(self):
"""Test Case 6: JSON with LaTeX backslashes should be repaired."""
from backend.agent.nodes import planner_node
state = create_mock_state()
# Mock LLM to return JSON with unescaped LaTeX
raw_json = r'{"questions":[{"id":1,"type":"code","content":"\\iint_D \\frac{dx}{x}","tool_input":"calc"}]}'
mock_response = MagicMock()
mock_response.content = raw_json
with patch("backend.agent.nodes.get_model") as mock_get_model, \
patch("backend.agent.nodes.memory_tracker") as mock_memory:
mock_llm = AsyncMock()
mock_llm.ainvoke.return_value = mock_response
mock_get_model.return_value = mock_llm
mock_status = MagicMock()
mock_status.status = "normal"
mock_status.used_tokens = 100
mock_status.message = ""
mock_memory.check_status.return_value = mock_status
result = await planner_node(state)
# Should successfully parse (repair backslashes)
assert result["execution_plan"] is not None or result["current_agent"] == "done", \
"Should either parse JSON or treat as direct answer"
print("✅ Test Case 6 PASSED: JSON Repair (LaTeX)")
class TestParallelExecutor:
"""Tests for parallel_executor_node."""
@pytest.mark.asyncio
async def test_direct_uses_answer_field(self):
"""Test: Direct questions should use pre-generated answer, not call LLM."""
from backend.agent.nodes import parallel_executor_node
state = create_mock_state()
state["execution_plan"] = {
"questions": [
{"id": 1, "type": "direct", "content": "Câu hỏi", "answer": "Đáp án sẵn có"}
]
}
with patch("backend.agent.nodes.get_model") as mock_get_model, \
patch("backend.agent.nodes.memory_tracker") as mock_memory:
# LLM should NOT be called for direct type with answer
mock_status = MagicMock()
mock_status.status = "normal"
mock_status.used_tokens = 100
mock_status.message = ""
mock_memory.check_status.return_value = mock_status
result = await parallel_executor_node(state)
assert result["current_agent"] == "synthetic", "Should route to synthetic"
assert len(result["question_results"]) == 1, "Should have 1 result"
assert result["question_results"][0]["result"] == "Đáp án sẵn có", "Should use pre-generated answer"
print("✅ Test: Direct with Answer Field -> Uses Cached Answer")
class TestRouteAgent:
"""Tests for route_agent function."""
def test_route_done_returns_done(self):
"""Test: current_agent='done' should return 'done'."""
from backend.agent.nodes import route_agent
state = {"current_agent": "done"}
result = route_agent(state)
assert result == "done", "Should return 'done' for done state"
print("✅ Test: route_agent('done') -> 'done'")
def test_route_executor_returns_executor(self):
"""Test: current_agent='executor' should return 'executor'."""
from backend.agent.nodes import route_agent
state = {"current_agent": "executor"}
result = route_agent(state)
assert result == "executor", "Should return 'executor' for executor state"
print("✅ Test: route_agent('executor') -> 'executor'")
# Run tests
if __name__ == "__main__":
print("=" * 60)
print("RUNNING COMPREHENSIVE WORKFLOW UNIT TESTS")
print("=" * 60)
async def run_all():
# Planner tests
planner_tests = TestPlannerNode()
await planner_tests.test_all_direct_returns_text()
await planner_tests.test_mixed_questions_returns_json()
await planner_tests.test_memory_overflow_blocks_execution()
await planner_tests.test_json_repair_latex_backslashes()
# Executor tests
executor_tests = TestParallelExecutor()
await executor_tests.test_direct_uses_answer_field()
# Route tests
route_tests = TestRouteAgent()
route_tests.test_route_done_returns_done()
route_tests.test_route_executor_returns_executor()
print("\n" + "=" * 60)
print("ALL TESTS PASSED ✅")
print("=" * 60)
asyncio.run(run_all())
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