chore: add LICENSE file and format README.md

- add MIT LICENSE file for the project
- reformat README.md code block indentation for better readability
This commit is contained in:
2026-06-21 19:15:39 +08:00
parent ff1122cb68
commit af8a074484
2 changed files with 58 additions and 31 deletions
+21
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@@ -0,0 +1,21 @@
MIT License
Copyright (c) 2026 endo Team
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
+37 -31
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@@ -5,8 +5,8 @@
[![CI](https://github.com/gookeryoung/pyflowx/actions/workflows/ci.yml/badge.svg)](https://github.com/gookeryoung/pyflowx/actions/workflows/ci.yml)
[![PyPI](https://img.shields.io/pypi/v/pyflowx.svg)](https://pypi.org/project/pyflowx/)
[![Python](https://img.shields.io/pypi/pyversions/pyflowx.svg)](https://pypi.org/project/pyflowx/)
[![Coverage](https://img.shields.io/badge/coverage-100%25-brightgreen.svg)](https://github.com/pyflowx/pyflowx)
[![License](https://img.shields.io/pypi/l/pyflowx.svg)](https://github.com/pyflowx/pyflowx/blob/main/LICENSE)
[![Coverage](https://img.shields.io/badge/coverage-100%25-brightgreen.svg)](https://github.com/gookeryoung/pyflowx)
[![License](https://img.shields.io/pypi/l/pyflowx.svg)](https://github.com/gookeryoung/pyflowx/blob/main/LICENSE)
PyFlowX 把"任务依赖"这件事做到极致简单:**参数名就是依赖声明**。无需装饰器、
无需样板包装器,写一个普通函数,框架按参数名自动注入上游结果。
@@ -44,13 +44,16 @@ uv add pyflowx
```python
import pyflowx as px
def extract() -> list[int]:
return [1, 2, 3]
# 参数名 extract 自动匹配上游任务名 → 自动注入
def double(extract: list[int]) -> list[int]:
return [x * 2 for x in extract]
graph = px.Graph.from_specs([
px.TaskSpec("extract", extract),
px.TaskSpec("double", double, ("extract",)),
@@ -68,19 +71,19 @@ print(report["double"]) # [2, 4, 6]
```python
px.TaskSpec(
name="fetch_user", # 唯一标识
fn=fetch_user, # 同步或异步函数
cmd=["curl", "..."], # 或: 执行命令(覆盖 fn
depends_on=("auth",), # 依赖的任务名
args=(uid,), # 静态位置参数(追加在注入参数后)
kwargs={"timeout": 30}, # 静态关键字参数
retries=3, # 失败重试次数(0 = 仅一次)
timeout=30.0, # 超时秒数(None = 不限制)
tags=("api", "user"), # 自由标签,用于子图过滤
conditions=(is_prod,), # 条件函数列表(全部为 True 才执行)
cwd=Path("/tmp"), # 命令工作目录(仅 cmd 模式)
verbose=True, # 打印命令输出(仅 cmd 模式)
skip_if_missing=True, # 命令不存在时自动跳过(仅 list[str] cmd
name="fetch_user", # 唯一标识
fn=fetch_user, # 同步或异步函数
cmd=["curl", "..."], # 或: 执行命令(覆盖 fn
depends_on=("auth",), # 依赖的任务名
args=(uid,), # 静态位置参数(追加在注入参数后)
kwargs={"timeout": 30}, # 静态关键字参数
retries=3, # 失败重试次数(0 = 仅一次)
timeout=30.0, # 超时秒数(None = 不限制)
tags=("api", "user"), # 自由标签,用于子图过滤
conditions=(is_prod,), # 条件函数列表(全部为 True 才执行)
cwd=Path("/tmp"), # 命令工作目录(仅 cmd 模式)
verbose=True, # 打印命令输出(仅 cmd 模式)
skip_if_missing=True, # 命令不存在时自动跳过(仅 list[str] cmd
)
```
@@ -94,17 +97,17 @@ px.TaskSpec(
### Graph —— DAG 构建
```python
graph = px.Graph.from_specs([...]) # 整批校验(推荐)
graph = px.Graph.from_specs([...]) # 整批校验(推荐)
# 或增量构建
graph = px.Graph()
graph.add(px.TaskSpec("a", fn_a))
graph.add(px.TaskSpec("b", fn_b, ("a",)))
graph.validate() # 显式校验(环检测)
graph.layers() # 拓扑分层
graph.to_mermaid() # Mermaid 可视化
graph.describe() # 人类可读摘要
graph.subgraph(("api",)) # 按标签切片
graph.validate() # 显式校验(环检测)
graph.layers() # 拓扑分层
graph.to_mermaid() # Mermaid 可视化
graph.describe() # 人类可读摘要
graph.subgraph(("api",)) # 按标签切片
graph.subgraph_by_names(("a", "b")) # 按名称切片
```
@@ -113,11 +116,11 @@ graph.subgraph_by_names(("a", "b")) # 按名称切片
```python
report = px.run(
graph,
strategy="async", # sequential | thread | async
max_workers=8, # thread 策略的线程池大小
dry_run=False, # True = 仅打印计划
verbose=False, # True = 打印任务生命周期日志
on_event=callback, # 状态转换回调
strategy="async", # sequential | thread | async
max_workers=8, # thread 策略的线程池大小
dry_run=False, # True = 仅打印计划
verbose=False, # True = 打印任务生命周期日志
on_event=callback, # 状态转换回调
state=px.JSONBackend("state.json"), # 断点续跑后端
)
```
@@ -125,12 +128,12 @@ report = px.run(
### RunReport —— 结果
```python
report["task_name"] # 任务返回值
report["task_name"] # 任务返回值
report.result_of("task_name") # 完整 TaskResult
report.success # 整体是否成功
report.summary() # 统计字典
report.failed_tasks() # 失败任务名列表
report.describe() # 人类可读报告
report.success # 整体是否成功
report.summary() # 统计字典
report.failed_tasks() # 失败任务名列表
report.describe() # 人类可读报告
```
## 上下文注入规则
@@ -145,14 +148,17 @@ report.describe() # 人类可读报告
```python
from typing import Any, Dict
def aggregate(ctx: px.Context) -> Dict[str, Any]:
"""ctx 包含所有 depends_on 任务的返回值。"""
return dict(ctx)
def merge(fetch_a: str, fetch_b: str) -> str:
"""fetch_a / fetch_b 自动注入。"""
return fetch_a + fetch_b
def fetch_user(uid: int) -> dict: # uid 来自 TaskSpec.args
...
```