Files
NaliiaBot/tests/conftest.py
aserrador d328d801f4 fix: mock LLM clients in test_llm_factory to avoid API key requirement
- Add mock_chat_anthropic and mock_chat_deepseek fixtures to conftest.py
- Update test_llm_factory to use monkeypatch and mock fixtures
- Import ChatAnthropic and ChatDeepSeek in conftest.py for spec creation
- Tests now pass without requiring ANTHROPIC_API_KEY or DEEPSEEK_API_KEY
- Execution time reduced from failing after 0.12s to passing in 0.01s

This change allows factory tests to run in isolation without external
dependencies, making them consistent with the API test approach and
suitable for any development environment or CI/CD pipeline.
2026-06-10 16:16:14 -05:00

262 lines
7.9 KiB
Python

import pytest
from unittest.mock import Mock, MagicMock
import os
from contextlib import asynccontextmanager
from src.naliiabot.bot.agent.agent import Agent, AgentConfig
from src.naliiabot.bot.factories.llm_factory import LLMFactory
from httpx import ASGITransport, AsyncClient
from fastapi import FastAPI
from langgraph.checkpoint.memory import MemorySaver
from langchain_core.messages import AIMessage
from langchain_anthropic import ChatAnthropic
from langchain_deepseek import ChatDeepSeek
from naliiabot.bot.prompts.load_prompt import get_prompt_template
from naliiabot.bot.tools.naliia_tools import NaliiaTools
import naliiabotapi.api.dependencies as deps
from naliiabotapi.api.v1.endpoints.chat import router as chat_router
from naliiabotapi.api.v1.webhooks.chat_hook import router as chat_hook_router
@asynccontextmanager
async def test_lifespan(app: FastAPI):
"""Test lifespan that uses in-memory checkpointer instead of PostgreSQL."""
# Use in-memory checkpointer for tests
checkpointer = MemorySaver()
# Use a mock model for tests to avoid needing API keys
# The mock needs to return proper AIMessage objects
mock_model = MagicMock()
def mock_invoke(*args, **kwargs):
"""Mock invoke that returns a proper AIMessage."""
return AIMessage(content="This is a test response from the mock model.")
mock_model.invoke = mock_invoke
mock_model.bind_tools = Mock(return_value=mock_model)
naliia_prompt = get_prompt_template("NALIIA_PROMPT")
naliia_tools = NaliiaTools().get_tools()
config = AgentConfig(system_prompt=naliia_prompt)
deps.agent_instance = Agent(
model=mock_model,
config=config,
checkpointer=checkpointer,
tools=naliia_tools,
)
yield
# Cleanup
deps.agent_instance = None
@pytest.fixture(scope="session")
def test_app():
"""Create a test FastAPI app with in-memory dependencies."""
app = FastAPI(
title="NaliiaBot API - Test",
description="Test API for NaliiaBot",
version="1.0.0",
root_path="/agent/api",
lifespan=test_lifespan,
)
app.include_router(chat_router)
app.include_router(chat_hook_router)
@app.get("/")
def read_root():
return {"Hello": "World"}
@app.get("/health")
def health_check():
return {"status": "ok"}
return app
@pytest.fixture(scope="function")
async def async_client(test_app):
"""Fixture para un cliente HTTP asíncrono."""
async with AsyncClient(
transport=ASGITransport(app=test_app),
base_url="http://localhost:8010"
) as client:
yield client
@pytest.fixture
def mock_tool():
"""Mock de herramienta."""
tool = Mock()
tool.name = "calculator"
tool.invoke = Mock(return_value="42")
return tool
@pytest.fixture
def mock_model():
"""Mock de modelo LLM con interfaz completa."""
model = Mock()
model.bind_tools = Mock(return_value=model)
return model
@pytest.fixture
def default_config():
"""Configuración de test predecible."""
return AgentConfig(
system_prompt="Test prompt",
max_iterations=5,
timeout_seconds=10.0
)
@pytest.fixture
def agent(mock_model, default_config):
"""Agente básico sin herramientas."""
return Agent(model=mock_model, config=default_config)
@pytest.fixture
def agent_with_tool(mock_model, default_config, mock_tool):
"""Agente con una herramienta mock."""
return Agent(
model=mock_model,
config=default_config,
tools=[mock_tool]
)
@pytest.fixture
def anthropic_model():
llmFactory = LLMFactory("anthropic")
anthropic_model = llmFactory.get_model()
return anthropic_model
@pytest.fixture
def send_message_payload():
"""Payload de ejemplo para enviar mensajes al webhook."""
return {
"event": "messages.upsert",
"instance": "ALEJANDRO AYALA",
"data": {
"key": {
"remoteJid": "5512992544490@s.whatsapp.net",
"remoteJidAlt": "5512992544490@s.whatsapp.net",
"fromMe": False, "id": "AC4367597BDC50537133B9C8848B2E62",
"participant": "", "addressingMode": "lid"
},
"pushName": "Alejandro",
"status": "DELIVERY_ACK",
"message": {
"conversation": "Hola",
"messageContextInfo": {
"threadId": [],
"deviceListMetadata": {
"senderKeyIndexes": [],
"recipientKeyIndexes": [],
"senderKeyHash": {
"0": 154,
"1": 106,
"2": 69,
"3": 189,
"4": 90,
"5": 105,
"6": 172,
"7": 243,
"8": 27,
"9": 98
},
"senderTimestamp": {
"low": 1772156772,
"high": 0,
"unsigned": "true"
},
"recipientKeyHash": {
"0": 16,
"1": 98,
"2": 75,
"3": 100,
"4": 131,
"5": 43,
"6": 24,
"7": 225,
"8": 244,
"9": 126
},
"recipientTimestamp": {
"low": 1772155597,
"high": 0,
"unsigned": True
}
},
"deviceListMetadataVersion": 2,
"messageSecret": {
"0": 100,
"1": 47,
"2": 112,
"3": 133,
"4": 255,
"5": 156,
"6": 129,
"7": 57,
"8": 239,
"9": 219,
"10": 74,
"11": 171,
"12": 212,
"13": 150,
"14": 112,
"15": 83,
"16": 123,
"17": 78,
"18": 189,
"19": 13,
"20": 51,
"21": 133,
"22": 129,
"23": 6,
"24": 197,
"25": 119,
"26": 197,
"27": 56,
"28": 87,
"29": 176,
"30": 135,
"31": 62
}}},
"messageType": "conversation",
"messageTimestamp": 1772168493,
"instanceId": "75a877f1-d772-422b-a6f1-6ac470af5663",
"source": "android"
},
"destination": "http://192.168.58.110:8010/webhook",
"date_time": "2026-02-27T02:01:34.178Z",
"sender": "573016859278@s.whatsapp.net",
"server_url": "http://localhost:8080",
"apikey": "98B6B820AFC3-4544-9A4C-011B0719C2D1"
}
@pytest.fixture
def mock_chat_anthropic():
"""Mock para ChatAnthropic que no requiere API key."""
mock = Mock(spec=ChatAnthropic)
mock.model_name = "claude-sonnet-4-5-20250929"
return mock
@pytest.fixture
def mock_chat_deepseek():
"""Mock para ChatDeepSeek que no requiere API key."""
mock = Mock(spec=ChatDeepSeek)
mock.model_name = "deepseek-chat"
return mock