deer-flow/backend/tests/conftest.py

"""Test configuration for the backend test suite.

Sets up sys.path and pre-mocks modules that would cause circular import
issues when unit-testing lightweight config/registry code in isolation.
"""

import importlib.util
import sys
from pathlib import Path
from types import SimpleNamespace
from unittest.mock import MagicMock

import pytest

# Make 'app' and 'deerflow' importable from any working directory
sys.path.insert(0, str(Path(__file__).parent.parent))
sys.path.insert(0, str(Path(__file__).resolve().parents[2] / "scripts"))

# Break the circular import chain that exists in production code:
#   deerflow.subagents.__init__
#     -> .executor (SubagentExecutor, SubagentResult)
#       -> deerflow.agents.thread_state
#         -> deerflow.agents.__init__
#           -> lead_agent.agent
#             -> subagent_limit_middleware
#               -> deerflow.subagents.executor  <-- circular!
#
# By injecting a mock for deerflow.subagents.executor *before* any test module
# triggers the import, __init__.py's "from .executor import ..." succeeds
# immediately without running the real executor module.
_executor_mock = MagicMock()
_executor_mock.SubagentExecutor = MagicMock
_executor_mock.SubagentResult = MagicMock
_executor_mock.SubagentStatus = MagicMock
_executor_mock.MAX_CONCURRENT_SUBAGENTS = 3
_executor_mock.get_background_task_result = MagicMock()

sys.modules["deerflow.subagents.executor"] = _executor_mock


@pytest.fixture()
def provisioner_module():
    """Load docker/provisioner/app.py as an importable test module.

    Shared by test_provisioner_kubeconfig and test_provisioner_pvc_volumes so
    that any change to the provisioner entry-point path or module name only
    needs to be updated in one place.
    """
    repo_root = Path(__file__).resolve().parents[2]
    module_path = repo_root / "docker" / "provisioner" / "app.py"
    spec = importlib.util.spec_from_file_location("provisioner_app_test", module_path)
    assert spec is not None
    assert spec.loader is not None
    module = importlib.util.module_from_spec(spec)
    spec.loader.exec_module(module)
    return module


# ---------------------------------------------------------------------------
# Auto-set user context for every test unless marked no_auto_user
# ---------------------------------------------------------------------------
#
# Repository methods read ``user_id`` from a contextvar by default
# (see ``deerflow.runtime.user_context``). Without this fixture, every
# pre-existing persistence test would raise RuntimeError because the
# contextvar is unset. The fixture sets a default test user on every
# test; tests that explicitly want to verify behaviour *without* a user
# context should mark themselves ``@pytest.mark.no_auto_user``.


@pytest.fixture(autouse=True)
def _auto_app_config_from_file(monkeypatch, request):
    """Replace ``AppConfig.from_file`` with a minimal factory so tests that
    (directly or indirectly, e.g. via the LangGraph Server bootstrap path in
    ``make_lead_agent``) load AppConfig from disk do not need a real
    ``config.yaml`` on the filesystem.

    Tests that want to verify the real ``from_file`` behaviour should mark
    themselves with ``@pytest.mark.real_from_file``.
    """
    if request.node.get_closest_marker("real_from_file"):
        yield
        return
    try:
        from deerflow.config.app_config import AppConfig
        from deerflow.config.sandbox_config import SandboxConfig
    except ImportError:
        yield
        return

    def _fake_from_file(config_path: str | None = None) -> AppConfig:  # noqa: ARG001
        return AppConfig(sandbox=SandboxConfig(use="test"))

    monkeypatch.setattr(AppConfig, "from_file", _fake_from_file)
    yield


@pytest.fixture(autouse=True)
def _auto_user_context(request):
    """Inject a default ``test-user-autouse`` into the contextvar.

    Opt-out via ``@pytest.mark.no_auto_user``. Uses lazy import so that
    tests which don't touch the persistence layer never pay the cost
    of importing runtime.user_context.
    """
    if request.node.get_closest_marker("no_auto_user"):
        yield
        return

    try:
        from deerflow.runtime.user_context import (
            reset_current_user,
            set_current_user,
        )
    except ImportError:
        yield
        return

    user = SimpleNamespace(id="test-user-autouse", email="test@local")
    token = set_current_user(user)
    try:
        yield
    finally:
        reset_current_user(token)