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depends_on 为空的纯 fn 任务自动从必需参数名推断依赖（匹配图中任务名）， 消除显式声明 depends_on 的样板代码；安全规则：仅必需参数、非 Context 标注、 非 *args/**kwargs、非 soft_depends_on、非自名。新增 px.graph(*specs) 可变 参数快捷构造；_is_context_annotation 重命名为公开 is_context_annotation； __init__/fileops/compose/task 文档示例统一现代化。1694 测试全绿，覆盖率 97.25%。
295 lines
10 KiB
Python
295 lines
10 KiB
Python
"""测试上下文注入规则."""
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from __future__ import annotations
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from typing import Any
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import pytest
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import pyflowx as px
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from pyflowx.context import build_call_args, describe_injection, is_context_annotation
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from pyflowx.errors import InjectionError
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class TestBuildCallArgs:
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"""测试 build_call_args 函数."""
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def test_inject_by_parameter_name(self) -> None:
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"""参数名匹配依赖名时应注入对应结果."""
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def fn(a: int, b: str) -> str:
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return f"{a}{b}"
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spec = px.TaskSpec("c", fn, depends_on=("a", "b"))
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_args, kwargs = build_call_args(spec, {"a": 1, "b": "x"})
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assert kwargs == {"a": 1, "b": "x"}
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def test_inject_context_annotation(self) -> None:
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"""标注为 Context 的参数应接收完整依赖映射."""
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def fn(ctx: px.Context) -> int:
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return len(ctx)
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spec = px.TaskSpec("agg", fn, depends_on=("a", "b"))
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_args, kwargs = build_call_args(spec, {"a": 1, "b": 2, "c": 99})
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# Only the task's own deps are passed.
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assert kwargs == {"ctx": {"a": 1, "b": 2}}
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def test_inject_var_keyword(self) -> None:
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"""**kwargs 参数应以 dict 形式接收所有依赖结果."""
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def fn(**kwargs: Any) -> int: # pyright: ignore[reportExplicitAny, reportAny]
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return sum(kwargs.values())
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spec = px.TaskSpec("agg", fn, depends_on=("a", "b"))
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_args, kwargs = build_call_args(spec, {"a": 1, "b": 2})
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assert kwargs == {"a": 1, "b": 2}
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def test_static_args_and_kwargs(self) -> None:
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"""静态 args/kwargs 应正确填充非依赖参数."""
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def fn(uid: int, source: str) -> str:
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return f"{source}:{uid}"
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spec = px.TaskSpec("fetch", fn, args=(42,), kwargs={"source": "api"})
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args, kwargs = build_call_args(spec, {})
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assert args == (42,)
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assert kwargs == {"source": "api"}
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def test_default_param_not_required(self) -> None:
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"""有默认值的参数无需依赖或静态值."""
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def fn(a: int, flag: bool = True) -> int:
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return a if flag else 0
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spec = px.TaskSpec("t", fn, depends_on=("a",))
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_args, kwargs = build_call_args(spec, {"a": 5})
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assert kwargs == {"a": 5}
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def test_unresolved_required_param_raises(self) -> None:
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"""必需参数无法解析时应抛出 InjectionError."""
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def fn(_a: int, _: str) -> None:
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return None
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spec = px.TaskSpec("t", fn, depends_on=("a",))
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with pytest.raises(InjectionError) as exc_info:
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_ = build_call_args(spec, {"a": 1})
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assert "Cannot inject" in str(exc_info.value)
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def test_static_kwargs_collide_with_dependency(self) -> None:
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"""静态 kwargs 与依赖名冲突时应抛出 InjectionError."""
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def fn(a: int) -> int:
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return a
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spec = px.TaskSpec("t", fn, depends_on=("a",), kwargs={"a": 99})
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with pytest.raises(InjectionError):
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_ = build_call_args(spec, {"a": 1})
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def test_var_positional_not_required(self) -> None:
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"""*args 参数不应触发 InjectionError."""
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def fn(*args: Any) -> int: # pyright: ignore[reportExplicitAny, reportAny]
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return len(args)
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spec = px.TaskSpec("t", fn, args=(1, 2, 3))
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args, kwargs = build_call_args(spec, {})
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assert args == (1, 2, 3)
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assert kwargs == {}
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def test_var_keyword_consumes_leftover(self) -> None:
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"""**kwargs 应吞掉未被具名参数消费的依赖结果."""
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def fn(a: int, **rest: Any) -> int: # pyright: ignore[reportExplicitAny, reportAny]
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return a + sum(rest.values())
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spec = px.TaskSpec("t", fn, depends_on=("a", "b", "c"))
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_args, kwargs = build_call_args(spec, {"a": 1, "b": 2, "c": 3})
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assert kwargs == {"a": 1, "b": 2, "c": 3}
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def test_no_var_keyword_drops_leftover(self) -> None:
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"""无 **kwargs 时，未被消费的依赖结果被丢弃（不报错）."""
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def fn(a: int) -> int:
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return a
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spec = px.TaskSpec("t", fn, depends_on=("a", "b"))
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# b 是依赖但 fn 不接收它 —— 应正常工作
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_args, kwargs = build_call_args(spec, {"a": 1, "b": 2})
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assert kwargs == {"a": 1}
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def test_context_annotation_only_deps(self) -> None:
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"""Context 标注只接收该任务自身 depends_on 的结果."""
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def fn(ctx: px.Context) -> int:
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return len(ctx)
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spec = px.TaskSpec("t", fn, depends_on=("a", "b"))
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_args, kwargs = build_call_args(spec, {"a": 1, "b": 2, "c": 99})
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assert kwargs == {"ctx": {"a": 1, "b": 2}}
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def test_cmd_task_fast_path(self) -> None:
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"""cmd 任务（无 fn）走快速路径，跳过签名内省。"""
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spec = px.TaskSpec("cmd_task", cmd=["echo", "hello"])
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args, kwargs = build_call_args(spec, {"a": 1, "b": 2})
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assert args == ()
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assert kwargs == {}
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def test_cmd_task_with_depends_fast_path(self) -> None:
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"""cmd 任务有依赖时也走快速路径（依赖仅用于排序，不注入）。"""
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spec = px.TaskSpec("cmd_task", cmd=["echo", "hello"], depends_on=("a",))
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args, kwargs = build_call_args(spec, {"a": 1})
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assert args == ()
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assert kwargs == {}
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def test_fn_no_deps_with_context_annotation(self) -> None:
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"""fn 无依赖 + Context 标注走快速路径 2，Context 参数收到空映射。"""
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def fn(ctx: px.Context) -> int:
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return len(ctx)
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spec = px.TaskSpec("t", fn) # 无 depends_on
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args, kwargs = build_call_args(spec, {})
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assert args == ()
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assert kwargs == {"ctx": {}}
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def test_fn_no_deps_with_default_params(self) -> None:
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"""fn 无依赖 + 全部参数有默认值走快速路径 2，无注入。"""
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def fn(a: int = 1, b: str = "x") -> int:
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return a
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spec = px.TaskSpec("t", fn) # 无 depends_on
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args, kwargs = build_call_args(spec, {})
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assert args == ()
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assert kwargs == {}
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def test_fn_no_deps_with_required_param_raises(self) -> None:
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"""fn 无依赖 + 必填无默认值参数走快速路径 2 时抛 InjectionError。"""
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def fn(missing: int) -> int:
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return missing
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spec = px.TaskSpec("t", fn) # 无 depends_on
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with pytest.raises(InjectionError) as exc_info:
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build_call_args(spec, {})
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assert "parameter 'missing'" in str(exc_info.value)
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def test_signature_unhashable_fallback(self) -> None:
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"""不可哈希 fn 走慢路径时 _signature 应回退到直接内省。"""
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class UnhashableCallable:
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__hash__ = None # type: ignore[assignment]
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def __call__(self, a: int) -> int:
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return a
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fn = UnhashableCallable()
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# 有依赖才能走慢路径（否则走快速路径 2）
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spec = px.TaskSpec("t", fn, depends_on=("a",)) # type: ignore[arg-type]
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_args, kwargs = build_call_args(spec, {"a": 1})
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assert kwargs == {"a": 1}
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class TestDescribeInjection:
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"""测试 describe_injection 函数."""
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def test_describe_injection(self) -> None:
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"""应正确描述依赖注入、Context 标注和默认值."""
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def fn(a: int, ctx: px.Context, flag: bool = False) -> None:
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return None
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spec = px.TaskSpec("t", fn, depends_on=("a",))
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desc = describe_injection(spec)
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assert "a=<dep:a>" in desc
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assert "ctx=<Context>" in desc
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assert "flag=<default>" in desc
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def test_var_positional(self) -> None:
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"""*args 参数应显示为 *args."""
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def fn(*args: Any) -> None:
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return None
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spec = px.TaskSpec("t", fn)
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desc = describe_injection(spec)
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assert "*args" in desc
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def test_var_keyword(self) -> None:
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"""**kwargs 参数应显示为 **kwargs=<all-deps>."""
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def fn(**kwargs: Any) -> None: # pyright: ignore[reportExplicitAny, reportAny]
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return None
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spec = px.TaskSpec("t", fn, depends_on=("a",))
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desc = describe_injection(spec)
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assert "**kwargs=<all-deps>" in desc
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def test_unresolved(self) -> None:
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"""无依赖、无静态值、无默认的参数应显示为 <UNRESOLVED>."""
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def fn(missing: int) -> None:
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return None
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spec = px.TaskSpec("t", fn)
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desc = describe_injection(spec)
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assert "missing=<UNRESOLVED>" in desc
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def test_static_kwargs(self) -> None:
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"""静态 kwargs 应显示具体值."""
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def fn(flag: bool = False) -> None:
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return None
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spec = px.TaskSpec("t", fn, kwargs={"flag": True})
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desc = describe_injection(spec)
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assert "flag=True" in desc
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def test_positional_args_filled(self) -> None:
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"""spec.args 填充的位置参数应显示具体值（覆盖 args_filled 分支）."""
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def fn(a: int, b: str) -> None:
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return None
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spec = px.TaskSpec("t", fn, args=(1, "x"))
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desc = describe_injection(spec)
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assert "a=1" in desc
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assert "b='x'" in desc
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class TestIsContextAnnotation:
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"""测试 is_context_annotation 函数."""
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def test_direct_object(self) -> None:
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"""直接传入 Context 别名对象应返回 True."""
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assert is_context_annotation(px.Context) is True
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def test_string(self) -> None:
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"""字符串形式的注解应被识别."""
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assert is_context_annotation("Context") is True
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assert is_context_annotation("px.Context") is True
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assert is_context_annotation("pyflowx.Context") is True
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assert is_context_annotation("NotContext") is False
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assert is_context_annotation("int") is False
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def test_typing_alias(self) -> None:
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"""具有 __name__/_name 为 Context/Mapping 的 typing 别名应返回 True."""
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class FakeAlias:
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__name__ = "Context"
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assert is_context_annotation(FakeAlias()) is True
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class FakeMapping:
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__name__ = "Mapping"
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assert is_context_annotation(FakeMapping()) is True
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def test_other(self) -> None:
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"""其他类型注解应返回 False."""
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assert is_context_annotation(int) is False
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assert is_context_annotation(str) is False
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assert is_context_annotation(None) is False
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