Files
talemate/tests/conftest.py
veguAI 5f0ddc919e Node-graph event signals for 0.39.0 features (#76) (#78)
* Add node-graph event signals for 0.39.0 features: visual prompt finalization, creator dialogue examples, help chat, scene asset lifecycle (#76)

* review: fire scene.backdrop_changed when backdrop asset is deleted; suppress no-op backdrop updates (#78)
2026-07-06 14:32:43 +03:00

213 lines
6.2 KiB
Python

"""
Shared pytest fixtures and test infrastructure.
Provides MockClient, MockScene, and bootstrap functions used across
multiple test modules (test_graphs, test_layered_history, etc.).
"""
import contextvars
from collections import deque
from pathlib import Path
import pytest
import yaml
import talemate.agents as agents
import talemate.agents.memory
import talemate.agents.tts.voice_library as voice_library
import talemate.config.state as config_state
import talemate.emit.async_signals as async_signals
import talemate.instance as instance
from talemate.client import ClientBase
from talemate.config.schema import Config
from talemate.tale_mate import Scene
# Root of the repository (where config.example.yaml lives)
_REPO_ROOT = Path(__file__).resolve().parent.parent
@pytest.fixture(autouse=True, scope="session")
def _use_example_config():
"""Ensure all tests use config.example.yaml instead of the local config.yaml.
This prevents local configuration from leaking into test results and
keeps CI and local runs deterministic.
"""
example_path = _REPO_ROOT / "config.example.yaml"
with open(example_path, "r") as f:
yaml_data = yaml.safe_load(f) or {}
test_config = Config.model_validate(yaml_data)
original = config_state.CONFIG
config_state.CONFIG = test_config
yield
config_state.CONFIG = original
# ---------------------------------------------------------------------------
# Contextvar-based response queue for MockClient
# ---------------------------------------------------------------------------
client_responses = contextvars.ContextVar("client_responses", default=deque())
class MockClientContext:
"""Async context manager that provides a fresh response queue."""
async def __aenter__(self):
try:
self.client_responses = client_responses.get()
except LookupError:
_client_responses = deque()
self.token = client_responses.set(_client_responses)
self.client_responses = _client_responses
return self.client_responses
async def __aexit__(self, exc_type, exc_value, traceback):
if hasattr(self, "token"):
client_responses.reset(self.token)
# ---------------------------------------------------------------------------
# Async signal helpers
# ---------------------------------------------------------------------------
@pytest.fixture
def isolate_signals():
"""Factory that clears a signal's receivers for the duration of the test
(so handlers don't leak between tests) and restores them on teardown.
Returns the isolated AsyncSignal objects for connecting test handlers."""
restores = []
def _isolate(*names):
signals = []
for name in names:
sig = async_signals.get(name)
restores.append((sig, list(sig.receivers)))
sig.receivers.clear()
signals.append(sig)
return signals[0] if len(signals) == 1 else signals
yield _isolate
for sig, receivers in restores:
sig.receivers.clear()
sig.receivers.extend(receivers)
def connect_recorder(signal) -> list:
"""Connect a recording handler to a signal and return the list that
received payloads are appended to."""
received = []
async def handler(payload):
received.append(payload)
signal.connect(handler)
return received
# ---------------------------------------------------------------------------
# Mock classes
# ---------------------------------------------------------------------------
class MockClient(ClientBase):
"""LLM client stub that pops pre-defined responses from a queue."""
def __init__(self, name: str):
self.name = name
self.remote_model_name = "test-model"
self.current_status = "idle"
self.prompt_history = []
@property
def enabled(self):
return True
async def send_prompt(
self, prompt, kind="conversation", finalize=lambda x: x, retries=2, **kwargs
):
response_stack = client_responses.get()
self.prompt_history.append({"prompt": prompt, "kind": kind})
if not response_stack:
return ""
return response_stack.popleft()
class MockMemoryAgent(talemate.agents.memory.MemoryAgent):
"""MemoryAgent with no-op persistence methods."""
async def add_many(self, items: list[dict]):
pass
async def delete(self, filters: dict):
pass
class MockScene(Scene):
"""Real Scene subclass with auto_progress forced on."""
@property
def auto_progress(self):
return True
# ---------------------------------------------------------------------------
# Bootstrap helpers
# ---------------------------------------------------------------------------
def bootstrap_engine():
"""Instantiate all real agents (using MockMemoryAgent for memory)."""
voice_library.VOICE_LIBRARY = voice_library.VoiceLibrary(voices={})
for agent_type in agents.AGENT_CLASSES:
if agent_type == "memory":
agent = MockMemoryAgent()
else:
agent = agents.AGENT_CLASSES[agent_type]()
instance.AGENTS[agent_type] = agent
def pytest_addoption(parser):
"""Add custom command-line options."""
parser.addoption(
"--update-baselines",
action="store_true",
default=False,
help="Update baseline snapshot files instead of comparing against them.",
)
@pytest.fixture
def update_baselines(request):
"""Whether to update baseline files instead of comparing."""
return request.config.getoption("--update-baselines")
def bootstrap_scene(mock_scene):
"""Wire a MockClient and the mock_scene into every agent."""
bootstrap_engine()
client = MockClient("test_client")
for agent in instance.AGENTS.values():
agent.client = client
agent.scene = mock_scene
director = instance.get_agent("director")
conversation = instance.get_agent("conversation")
summarizer = instance.get_agent("summarizer")
editor = instance.get_agent("editor")
world_state = instance.get_agent("world_state")
mock_scene.mock_client = client
return {
"director": director,
"conversation": conversation,
"summarizer": summarizer,
"editor": editor,
"world_state": world_state,
}