"""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.
"""

from __future__ import annotations

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"))
# Shared test helpers (e.g. feedback_fakes) import as plain modules. pytest's
# default prepend import mode already puts this directory on the path, but not
# under --import-mode=importlib, so state the dependency explicitly.
sys.path.insert(0, str(Path(__file__).parent))

# 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)
    previous_module = sys.modules.get(spec.name)
    sys.modules[spec.name] = module
    try:
        spec.loader.exec_module(module)
        yield module
    finally:
        if previous_module is None:
            sys.modules.pop(spec.name, None)
        else:
            sys.modules[spec.name] = previous_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 _reset_skill_storage_singleton():
    """Reset the SkillStorage singleton between tests to prevent cross-test contamination."""
    try:
        from deerflow.skills.storage import reset_skill_storage
    except ImportError:
        yield
        return
    reset_skill_storage()
    try:
        yield
    finally:
        reset_skill_storage()


@pytest.fixture(autouse=True)
def _reset_frozen_checkpoint_channel_mode(monkeypatch):
    """Reset the process-global frozen checkpoint channel mode between tests.

    Production treats ``checkpoint_channel_mode`` as restart-required: the
    first client/app freezes it for the process. The test suite builds many
    clients and apps with different modes in one process, so the freeze must
    not leak across tests. Mirrors the per-test ``monkeypatch.setattr``
    resets already used in test_client.py / test_lead_agent_model_resolution.py.
    """
    from deerflow.runtime import checkpoint_mode

    monkeypatch.setattr(checkpoint_mode, "_frozen_checkpoint_channel_mode", None)
    yield


@pytest.fixture(autouse=True)
def _reset_frozen_delta_snapshot_frequency(monkeypatch):
    """Reset the process-global frozen delta snapshot frequency between tests.

    Same restart-required semantics as the checkpoint channel mode freeze
    above: ``make_lead_agent`` freezes it from the app config, and the suite
    builds many agents with different configs in one process.
    """
    from deerflow.agents import thread_state

    monkeypatch.setattr(thread_state, "_frozen_delta_snapshot_frequency", None)
    yield


@pytest.fixture(autouse=True)
def _restore_title_config_singleton():
    """Reset ``_title_config`` to its pristine default after every test.

    ``AppConfig.from_file()`` writes the on-disk ``title`` block into the
    module-level singleton (``config/app_config.py`` calls
    ``load_title_config_from_dict``). Any test that loads the real
    ``config.yaml`` therefore leaves the singleton in a state that
    ``test_title_middleware_core_logic.py`` does not expect; that suite
    relies on the pristine ``TitleConfig()`` default (``enabled=True``).
    We restore the default after every test so test files stay
    independent regardless of order.
    """
    try:
        from deerflow.config.title_config import reset_title_config
    except ImportError:
        yield
        return

    try:
        yield
    finally:
        reset_title_config()


@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)