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https://github.com/bytedance/deer-flow.git
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da41701f87
* feat(detectors): add static blocking IO inventory * refactor(detectors): drop superseded runtime probe; clarify static report path - Remove the #2924 custom runtime blocking IO probe entirely: backend/tests/support/detectors/blocking_io.py, backend/tests/test_blocking_io_detector.py, backend/tests/test_blocking_io_probe_integration.py, and the pytest_addoption / pytest_runtest_call / pytest_runtest_teardown / pytest_sessionfinish / pytest_terminal_summary hooks plus the blocking_io_detector fixture from backend/tests/conftest.py. Its narrow DEFAULT_BLOCKING_CALL_SPECS (time.sleep, requests, httpx, os.walk, Path.resolve, Path.read_text, Path.write_text) cannot serve as a CI gate; a Blockbuster-backed runtime detector will land in a separate follow-up PR. Leaving the half-coverage probe alongside the static inventory in this PR added a redundant detect path with no production value. - Address Copilot review comments on backend/README.md and backend/CLAUDE.md by stating explicitly that the JSON report writes to .deer-flow/blocking-io-findings.json at the repository root, whether the target is invoked from the repo root or from backend/. Verified: pytest tests/test_detect_blocking_io_static.py (18 passed), ruff check + format on touched files (passed), make detect-blocking-io from both repo root and backend/ produce the same 105-finding report at <repo-root>/.deer-flow/blocking-io-findings.json. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
140 lines
4.7 KiB
Python
140 lines
4.7 KiB
Python
"""Test configuration for the backend test suite.
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Sets up sys.path and pre-mocks modules that would cause circular import
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issues when unit-testing lightweight config/registry code in isolation.
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"""
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from __future__ import annotations
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import importlib.util
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import sys
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from pathlib import Path
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from types import SimpleNamespace
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from unittest.mock import MagicMock
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import pytest
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# Make 'app' and 'deerflow' importable from any working directory
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sys.path.insert(0, str(Path(__file__).parent.parent))
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sys.path.insert(0, str(Path(__file__).resolve().parents[2] / "scripts"))
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# Break the circular import chain that exists in production code:
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# deerflow.subagents.__init__
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# -> .executor (SubagentExecutor, SubagentResult)
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# -> deerflow.agents.thread_state
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# -> deerflow.agents.__init__
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# -> lead_agent.agent
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# -> subagent_limit_middleware
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# -> deerflow.subagents.executor <-- circular!
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#
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# By injecting a mock for deerflow.subagents.executor *before* any test module
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# triggers the import, __init__.py's "from .executor import ..." succeeds
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# immediately without running the real executor module.
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_executor_mock = MagicMock()
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_executor_mock.SubagentExecutor = MagicMock
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_executor_mock.SubagentResult = MagicMock
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_executor_mock.SubagentStatus = MagicMock
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_executor_mock.MAX_CONCURRENT_SUBAGENTS = 3
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_executor_mock.get_background_task_result = MagicMock()
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sys.modules["deerflow.subagents.executor"] = _executor_mock
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@pytest.fixture()
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def provisioner_module():
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"""Load docker/provisioner/app.py as an importable test module.
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Shared by test_provisioner_kubeconfig and test_provisioner_pvc_volumes so
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that any change to the provisioner entry-point path or module name only
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needs to be updated in one place.
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"""
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repo_root = Path(__file__).resolve().parents[2]
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module_path = repo_root / "docker" / "provisioner" / "app.py"
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spec = importlib.util.spec_from_file_location("provisioner_app_test", module_path)
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assert spec is not None
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assert spec.loader is not None
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module = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(module)
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return module
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# ---------------------------------------------------------------------------
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# Auto-set user context for every test unless marked no_auto_user
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# ---------------------------------------------------------------------------
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#
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# Repository methods read ``user_id`` from a contextvar by default
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# (see ``deerflow.runtime.user_context``). Without this fixture, every
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# pre-existing persistence test would raise RuntimeError because the
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# contextvar is unset. The fixture sets a default test user on every
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# test; tests that explicitly want to verify behaviour *without* a user
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# context should mark themselves ``@pytest.mark.no_auto_user``.
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@pytest.fixture(autouse=True)
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def _reset_skill_storage_singleton():
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"""Reset the SkillStorage singleton between tests to prevent cross-test contamination."""
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try:
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from deerflow.skills.storage import reset_skill_storage
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except ImportError:
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yield
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return
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reset_skill_storage()
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try:
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yield
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finally:
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reset_skill_storage()
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@pytest.fixture(autouse=True)
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def _restore_title_config_singleton():
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"""Reset ``_title_config`` to its pristine default after every test.
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``AppConfig.from_file()`` writes the on-disk ``title`` block into the
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module-level singleton (``config/app_config.py`` calls
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``load_title_config_from_dict``). Any test that loads the real
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``config.yaml`` therefore leaves the singleton in a state that
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``test_title_middleware_core_logic.py`` does not expect; that suite
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relies on the pristine ``TitleConfig()`` default (``enabled=True``).
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We restore the default after every test so test files stay
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independent regardless of order.
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"""
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try:
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from deerflow.config.title_config import reset_title_config
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except ImportError:
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yield
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return
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try:
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yield
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finally:
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reset_title_config()
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@pytest.fixture(autouse=True)
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def _auto_user_context(request):
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"""Inject a default ``test-user-autouse`` into the contextvar.
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Opt-out via ``@pytest.mark.no_auto_user``. Uses lazy import so that
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tests which don't touch the persistence layer never pay the cost
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of importing runtime.user_context.
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"""
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if request.node.get_closest_marker("no_auto_user"):
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yield
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return
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try:
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from deerflow.runtime.user_context import (
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reset_current_user,
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set_current_user,
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)
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except ImportError:
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yield
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return
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user = SimpleNamespace(id="test-user-autouse", email="test@local")
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token = set_current_user(user)
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try:
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yield
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finally:
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reset_current_user(token)
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