| Name | config-center JSON |
| Version |
0.0.40.post2
JSON |
| download |
| home_page | None |
| Summary | A site-package to create your local pypi-sitepackage, manage your own scripts pack as an env! |
| upload_time | 2024-05-21 02:27:15 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.4 |
| license | MIT License |
| keywords |
config
local
pipeline
tool
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
## **<u>CFGC</u>** 构建自己本地的 PYPI
**快速构建项目的自定义python运行环境**
------
```
当我们进行某些任务时，他们可能有多种类似的脚本，输出类似的内容，比如一些pipeline。
这时候任务脚本间可能存在大量的重复函数/变量，而这些函数并非pypi提供的，可能是我们自己定义的
如果对这些内容在各个脚本间重复定义则太不灵活，而CFGC(config-center)库则是为此而生！
```
如：
- 测评一系列类似的方法 (测评、数据加载函数很大概率是一种)
- 多流程分支分析 (数据读取、某些变量如输出路径)
- 日常使用 (如获取时间间隔的API、机器学习常用的数据拆分策略)
- ...更多可能
------
## Install
```python
pip install config-center
```
## Usage
```python
# region |- Import -|
import cfgc
import datetime
import os
# endregion
# list all envs
cfgc.envs.view()
# region |- Create an Env -|
env = cfgc.center.Environment()
env.define(
"cfgc-base", # env name: test
{"date": datetime.datetime.now().strftime('%Y-%m-%d')}, # env domain(data): test
os.path.join(cfgc.center.PATH.center) # env engine(site-package): cfgc self
)
env.save(safe=True)
# Input: yes
# endregion
del env
# region |- Reload the Env -|
from pprint import pprint
load_env = cfgc.center.Environment(load="cfgc-base") # env name: test
pprint(dir(load_env.engine))
# endregion
# region |- Export the Env -|
load_env.export("../export")
del load_env
# reload
load_env = cfgc.center.Environment()
load_env.load_path("../export") # env name: export
pprint(dir(load_env.engine.center))
print(load_env.domain)
# endregion
```
------
**CFGC实现非常简单，仅仅是使用了部分路径定义、模块加载的知识即可完成**
**而它可以保证让你在本地构建一些简单的python包，而无需上传pypi下载，来达到随心import**
- 完全不要再为相对路径、绝对路径的导入发愁
- 数据目录 与 函数目录分离, 无论项目的路径怎么变化, CFGC都可以定位到你本地的函数库
- 简单的客制化
------
## 欢迎使用体验CFGC！
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