Files
AICyclingCoach/backend/tests/services/test_ai_service.py

102 lines
3.7 KiB
Python

import pytest
from unittest.mock import AsyncMock, patch, MagicMock
from backend.app.services.ai_service import AIService, AIServiceError
from backend.app.models.workout import Workout
import json
@pytest.mark.asyncio
async def test_analyze_workout_success():
"""Test successful workout analysis with valid API response"""
mock_db = MagicMock()
mock_prompt = MagicMock()
mock_prompt.format.return_value = "test prompt"
ai_service = AIService(mock_db)
ai_service.prompt_manager.get_active_prompt = AsyncMock(return_value=mock_prompt)
test_response = json.dumps({
"performance_summary": "Good workout",
"suggestions": ["More recovery"]
})
with patch('httpx.AsyncClient.post') as mock_post:
mock_response = AsyncMock()
mock_response.status_code = 200
mock_response.json.return_value = {"choices": [{"message": {"content": test_response}}]}
mock_post.return_value = mock_response
workout = Workout(activity_type="cycling", duration_seconds=3600)
result = await ai_service.analyze_workout(workout)
assert "performance_summary" in result
assert len(result["suggestions"]) == 1
@pytest.mark.asyncio
async def test_generate_plan_success():
"""Test plan generation with structured response"""
mock_db = AsyncMock()
ai_service = AIService(mock_db)
ai_service.prompt_manager.get_active_prompt = AsyncMock(return_value="Plan prompt: {rules_text} {goals}")
test_plan = {
"weeks": [{"workouts": ["ride"]}],
"focus": "endurance"
}
with patch('httpx.AsyncClient.post') as mock_post:
mock_response = AsyncMock()
mock_response.status_code = 200
mock_response.json.return_value = {"choices": [{"message": {"content": json.dumps(test_plan)}}]}
mock_post.return_value = mock_response
result = await ai_service.generate_plan([], {})
assert "weeks" in result
assert result["focus"] == "endurance"
@pytest.mark.asyncio
async def test_api_retry_logic():
"""Test API request retries on failure"""
mock_db = MagicMock()
ai_service = AIService(mock_db)
with patch('httpx.AsyncClient.post') as mock_post:
mock_post.side_effect = Exception("API failure")
with pytest.raises(AIServiceError):
await ai_service._make_ai_request("test")
assert mock_post.call_count == 3
@pytest.mark.asyncio
async def test_invalid_json_handling():
"""Test graceful handling of invalid JSON responses"""
mock_db = AsyncMock()
ai_service = AIService(mock_db)
with patch('httpx.AsyncClient.post') as mock_post:
mock_response = AsyncMock()
mock_response.status_code = 200
mock_response.json.return_value = {"choices": [{"message": {"content": "invalid{json"}}]}
mock_post.return_value = mock_response
result = await ai_service.parse_rules_from_natural_language("test")
assert "raw_rules" in result
assert not result["structured"]
@pytest.mark.asyncio
async def test_code_block_parsing():
"""Test extraction of JSON from code blocks"""
mock_db = AsyncMock()
ai_service = AIService(mock_db)
test_response = "```json\n" + json.dumps({"max_rides": 4}) + "\n```"
with patch('httpx.AsyncClient.post') as mock_post:
mock_response = AsyncMock()
mock_response.status_code = 200
mock_response.json.return_value = {"choices": [{"message": {"content": test_response}}]}
mock_post.return_value = mock_response
result = await ai_service.evolve_plan({})
assert "max_rides" in result
assert result["max_rides"] == 4