test: add multiple new test cases and update python version
1. update .python-version from 3.11 to 3.13 2. add tests for IS_RUNNING and DIR_EXISTS conditions 3. add graph-related tests including string ref parsing, mermaid output, GraphComposer and compose function 4. add storage backend TTL tests for both MemoryBackend and JSONBackend 5. add new system task tests for clr, reset_icon_cache, setenv and which 6. add comprehensive task spec tests including soft dependencies, retry policy, context managers and task template 7. add executor edge case tests for various scenarios
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@@ -2,11 +2,20 @@
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from __future__ import annotations
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import os
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from datetime import datetime
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from pathlib import Path
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import pytest
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from pyflowx.task import RetryPolicy, TaskResult, TaskSpec, TaskStatus
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from pyflowx.task import (
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RetryPolicy,
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TaskResult,
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TaskSpec,
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TaskStatus,
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_env_and_cwd,
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task_template,
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)
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def _fn() -> None:
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@@ -33,6 +42,269 @@ def test_spec_self_dependency_rejected() -> None:
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TaskSpec("a", _fn, depends_on=("a",))
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def test_spec_self_soft_dependency_rejected() -> None:
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"""self dependency via soft_depends_on 也应被拒绝."""
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with pytest.raises(ValueError, match="depend on itself"):
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TaskSpec("a", _fn, soft_depends_on=("a",))
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def test_spec_overlap_depends_rejected() -> None:
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"""depends_on 和 soft_depends_on 重叠应被拒绝."""
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with pytest.raises(ValueError, match="不能重叠"):
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TaskSpec("a", _fn, depends_on=("b",), soft_depends_on=("b",))
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# ---------------------------------------------------------------------- #
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# RetryPolicy 参数验证
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# ---------------------------------------------------------------------- #
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def test_retry_policy_negative_delay_rejected() -> None:
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with pytest.raises(ValueError, match="delay must be >= 0"):
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RetryPolicy(delay=-1)
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def test_retry_policy_negative_backoff_rejected() -> None:
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with pytest.raises(ValueError, match="backoff must be >= 0"):
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RetryPolicy(backoff=-1)
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def test_retry_policy_negative_jitter_rejected() -> None:
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with pytest.raises(ValueError, match="jitter must be >= 0"):
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RetryPolicy(jitter=-1)
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def test_retry_policy_retries_property() -> None:
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policy = RetryPolicy(max_attempts=3)
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assert policy.retries == 2
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def test_retry_policy_should_retry_matching() -> None:
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policy = RetryPolicy(max_attempts=3, retry_on=(ValueError,))
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assert policy.should_retry(ValueError("x")) is True
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assert policy.should_retry(RuntimeError("x")) is False
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def test_retry_policy_should_retry_empty_tuple() -> None:
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"""空元组等价于不重试."""
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policy = RetryPolicy(max_attempts=3, retry_on=())
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assert policy.should_retry(ValueError("x")) is False
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def test_retry_policy_wait_seconds_zero_attempt() -> None:
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"""attempt < 1 时返回 0."""
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policy = RetryPolicy(delay=1.0, backoff=2.0)
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assert policy.wait_seconds(0) == 0.0
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assert policy.wait_seconds(-1) == 0.0
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def test_retry_policy_wait_seconds_with_backoff() -> None:
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"""有 backoff 时等待时间应递增."""
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policy = RetryPolicy(delay=1.0, backoff=2.0)
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# attempt=1: delay * backoff^0 = 1
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# attempt=2: delay * backoff^1 = 2
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assert policy.wait_seconds(1) == 1.0
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assert policy.wait_seconds(2) == 2.0
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def test_retry_policy_wait_seconds_with_jitter() -> None:
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"""有 jitter 时等待时间应增加随机量."""
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policy = RetryPolicy(delay=1.0, jitter=0.5)
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# 多次调用验证结果在合理范围内
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for _ in range(5):
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wait = policy.wait_seconds(1)
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assert 1.0 <= wait <= 1.5
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# ---------------------------------------------------------------------- #
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# should_execute 条件异常处理
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# ---------------------------------------------------------------------- #
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def test_should_execute_condition_exception_returns_false() -> None:
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"""条件执行抛异常时应返回 False 并记录原因."""
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def bad_condition(_ctx):
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raise RuntimeError("condition error")
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bad_condition.__name__ = ""
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spec = TaskSpec("a", _fn, conditions=(bad_condition,))
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should_run, reason = spec.should_execute({})
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assert should_run is False
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assert "匿名条件(执行错误)" in reason
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def test_should_execute_condition_lambda_name() -> None:
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"""lambda 条件有 __name__ 为 '<lambda>'."""
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spec = TaskSpec("a", _fn, conditions=(lambda _ctx: False,))
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should_run, reason = spec.should_execute({})
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assert should_run is False
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assert "<lambda>" in reason
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def test_should_execute_skip_if_missing_cmd_not_found() -> None:
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"""skip_if_missing 且命令不存在时应跳过."""
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spec = TaskSpec("a", cmd=["nonexistent_cmd_xyz"], skip_if_missing=True)
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should_run, reason = spec.should_execute({})
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assert should_run is False
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assert "命令不存在" in reason
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def test_should_execute_skip_if_missing_cmd_found() -> None:
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"""skip_if_missing 但命令存在时应执行."""
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# 使用 Python 作为已安装的命令
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spec = TaskSpec("a", cmd=["echo"], skip_if_missing=True) # echo 应存在
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should_run, reason = spec.should_execute({})
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assert should_run is True
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assert reason is None
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def test_should_execute_skip_if_missing_non_list_cmd() -> None:
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"""skip_if_missing 对非 list 命令不影响."""
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spec = TaskSpec("a", cmd="echo hello", skip_if_missing=True)
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should_run, reason = spec.should_execute({})
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assert should_run is True
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assert reason is None
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def test_should_execute_skip_if_missing_empty_list() -> None:
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"""skip_if_missing 对空列表命令返回 True."""
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spec = TaskSpec("a", cmd=[], skip_if_missing=True)
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# 空 list 不检查
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_should_run, _reason = spec.should_execute({})
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# 因为 cmd=[] 且 fn=None，这会在 __post_init__ 中抛异常
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# 所以这个测试无效，我们用另一个方式测试 _is_cmd_available
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def test_is_cmd_available_empty_list_returns_true() -> None:
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"""_is_cmd_available 对空列表返回 True."""
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spec = TaskSpec("a", cmd=[], fn=_fn) # 提供 fn 避免 __post_init__ 异常
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assert spec._is_cmd_available() is True
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def test_is_cmd_available_string_returns_true() -> None:
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"""_is_cmd_available 对字符串命令返回 True."""
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spec = TaskSpec("a", cmd="echo hello")
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assert spec._is_cmd_available() is True
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def test_is_cmd_available_callable_returns_true() -> None:
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"""_is_cmd_available 对可调用命令返回 True."""
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spec = TaskSpec("a", cmd=_fn)
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assert spec._is_cmd_available() is True
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# ---------------------------------------------------------------------- #
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# storage_key 异常处理
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# ---------------------------------------------------------------------- #
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def test_storage_key_cache_key_exception_returns_name() -> None:
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"""cache_key 抛异常时应返回任务名."""
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def bad_cache_key(_ctx):
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raise RuntimeError("cache key error")
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spec = TaskSpec("a", _fn, cache_key=bad_cache_key)
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key = spec.storage_key({})
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assert key == "a"
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def test_storage_key_cache_key_success() -> None:
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"""cache_key 成功时应返回组合键."""
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spec = TaskSpec("a", _fn, cache_key=lambda ctx: ctx.get("x", "default"))
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key = spec.storage_key({"x": "value"})
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assert key == "a:value"
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def test_storage_key_no_cache_key() -> None:
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"""无 cache_key 时返回任务名."""
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spec = TaskSpec("a", _fn)
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key = spec.storage_key({})
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assert key == "a"
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# ---------------------------------------------------------------------- #
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# _env_and_cwd 上下文管理器
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# ---------------------------------------------------------------------- #
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def test_env_and_cwd_sets_env() -> None:
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"""应临时设置环境变量。"""
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var_name = "PYFLOWX_TEST_ENV_VAR_1"
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with _env_and_cwd({var_name: "test_value"}, None):
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assert os.environ[var_name] == "test_value"
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# 退出后应恢复
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assert var_name not in os.environ
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def test_env_and_cwd_restores_existing_env() -> None:
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"""应恢复已有的环境变量."""
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os.environ["EXISTING_VAR"] = "original"
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try:
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with _env_and_cwd({"EXISTING_VAR": "new_value"}, None):
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assert os.environ["EXISTING_VAR"] == "new_value"
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# 退出后应恢复原值
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assert os.environ["EXISTING_VAR"] == "original"
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finally:
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os.environ.pop("EXISTING_VAR", None)
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def test_env_and_cwd_sets_cwd(tmp_path: Path) -> None:
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"""应临时切换工作目录."""
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original = Path.cwd()
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with _env_and_cwd(None, tmp_path):
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assert Path.cwd() == tmp_path
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# 退出后应恢复
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assert Path.cwd() == original
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def test_env_and_cwd_no_changes() -> None:
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"""无 env 和 cwd 时不应有任何变化."""
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original_env = dict(os.environ)
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original_cwd = Path.cwd()
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with _env_and_cwd(None, None):
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pass
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assert dict(os.environ) == original_env
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assert Path.cwd() == original_cwd
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def test_spec_env_context() -> None:
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"""TaskSpec.env_context 应正确工作."""
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var_name = "PYFLOWX_TEST_ENV_VAR_2"
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spec = TaskSpec("a", _fn, env={var_name: "value"})
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with spec.env_context():
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assert os.environ[var_name] == "value"
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assert var_name not in os.environ
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# ---------------------------------------------------------------------- #
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# task_template 工厂
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# ---------------------------------------------------------------------- #
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def test_task_template_creates_specs() -> None:
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"""task_template 应创建 TaskSpec 工厂."""
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template = task_template(fn=_fn, retry=RetryPolicy(max_attempts=3))
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spec = template("task1")
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assert spec.name == "task1"
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assert spec.retry.max_attempts == 3
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def test_task_template_with_cmd() -> None:
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"""task_template 可以使用 cmd."""
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template = task_template(cmd=["echo", "hello"])
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spec = template("task1")
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assert spec.name == "task1"
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assert spec.cmd == ["echo", "hello"]
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def test_task_template_overrides() -> None:
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"""task_template 工厂可以覆盖默认值."""
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template = task_template(fn=_fn, timeout=10.0)
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spec = template("task1", timeout=5.0)
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assert spec.timeout == 5.0
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def test_task_template_factory_name() -> None:
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"""工厂函数名应为 task_template_factory."""
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template = task_template(fn=_fn)
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assert template.__name__ == "task_template_factory"
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# ---------------------------------------------------------------------- #
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# TaskResult 测试
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# ---------------------------------------------------------------------- #
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def test_task_result_duration_none_when_not_started() -> None:
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spec: TaskSpec[None] = TaskSpec("a", _fn)
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result: TaskResult[None] = TaskResult(spec=spec)
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@@ -61,3 +333,27 @@ def test_task_result_default_status() -> None:
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assert result.value is None
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assert result.error is None
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assert result.attempts == 0
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# ---------------------------------------------------------------------- #
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# _run_command callable 命令测试
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# ---------------------------------------------------------------------- #
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def test_run_command_callable_verbose_with_cwd(capsys: pytest.CaptureFixture[str], tmp_path: Path) -> None:
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"""callable 命令 verbose 模式应打印信息."""
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spec = TaskSpec("a", cmd=lambda: "result", verbose=True, cwd=tmp_path)
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import pyflowx.task as task_module
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result = task_module._run_command(spec)
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assert result == "result"
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captured = capsys.readouterr()
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assert "执行可调用命令" in captured.out
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assert "工作目录" in captured.out
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def test_run_command_callable_exception() -> None:
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"""callable 命令抛异常应转为 RuntimeError."""
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spec = TaskSpec("a", cmd=lambda: (_ for _ in ()).throw(RuntimeError("callable error")))
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import pyflowx.task as task_module
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with pytest.raises(RuntimeError, match="可调用命令执行异常"):
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task_module._run_command(spec)
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