# Python环境

## pip

[更换pip源](https://developer.aliyun.com/article/652884)

# 临时
pip install scrapy -i https://pypi.tuna.tsinghua.edu.cn/simple
# 永久
vi $HOME/.config/pip/pip.conf

pip config set global.index-url 'https://mirrors.aliyun.com/pypi/simple'
pip config set global.timeout '120'
pip config set global.trusted-host 'mirrors.aliyun.com'

# 查看pip配置
pip config list
# 编辑配置
pip config edit --editor vim
# 设置配置
pip config set global.index-url \
    'https://cmc.centralrepo.rnd.huawei.com/pypi/simple/'


global.index-url='http://cmc-cd-mirror.rnd.huawei.com/pypi/simple/'
install.trusted-host='cmc-cd-mirror.rnd.huawei.com'

# proxy
[global]
index-url = https://cmc.centralrepo.rnd.huawei.com/pypi/simple/
trusted-host = cmc.centralrepo.rnd.huawei.com
               download.pytorch.org
find-links = https://download.pytorch.org/whl/torch_stable.html
timeout = 120
proxy = http://127.0.0.1:3128/

# huawei
[global]
index-url = https://mirrors.tools.huawei.com/pypi/simple
trusted-host = mirrors.tools.huawei.com
timeout = 120

## conda

### 安装

[官网教程](https://conda.io/projects/conda/en/latest/user-guide/install/linux.html)

[安装包地址](https://www.anaconda.com/products/distribution)

[anaconda - sjtu](https://mirror.sjtu.edu.cn/docs/anaconda)

wget https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/Anaconda3-2022.10-Linux-x86_64.sh

https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/Anaconda3-2023.03-Linux-x86_64.sh

### 基本操作

# 检查python版本
conda search --full --name python
#创建虚拟环境
conda create -n zr python=3.10.8
 
#激活虚拟环境
conda activate zr
 
#退出虚拟环境
conda deactivate
 
#删除虚拟环境
conda remove -n zr --all

#查看当前存在哪些虚拟环境
conda env list 
#或 
conda info -e
#或
conda info --envs

# 查看所有配置信息
conda config --show --json
# 配置使用清华的源
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --set show_channel_urls yes
# 配置安装软件时不要提示输入yes
conda config --set always_yes true

### condarc

auto_activate_base: false
channels:
  - defaults
default_channels:
  - http://mirrors.aliyun.com/anaconda/pkgs/main
  - http://mirrors.aliyun.com/anaconda/pkgs/r
  - http://mirrors.aliyun.com/anaconda/pkgs/msys2
custom_channels:
  conda-forge: http://mirrors.aliyun.com/anaconda/cloud
  msys2: http://mirrors.aliyun.com/anaconda/cloud
  bioconda: http://mirrors.aliyun.com/anaconda/cloud
  menpo: http://mirrors.aliyun.com/anaconda/cloud
  pytorch: http://mirrors.aliyun.com/anaconda/cloud
  simpleitk: http://mirrors.aliyun.com/anaconda/cloud
show_channel_urls: true

proxy_servers:
  http: 127.0.0.1:3128
  https: 127.0.0.1:3128
ssl_verify: false

### 安装和配置

[云道DevContainer Conda源配置](https://3ms.huawei.com/hi/group/3942456/wiki_6827138.html)

bash Anaconda3-2022.10-Linux-x86_64.sh
# 自动激活环境
conda config --set auto_activate_base false

# 源和代理
# 有阿里源、清华源、上海交通源等等
vim ~/.condarc
# windows配置文件地址
C:\Users\z00581357\.condarc

#查看当前conda配置
conda config --show channels
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/
 
#设置搜索是显示通道地址
conda config --set show_channel_urls yes

auto_activate_base: false
default_channels:
  - https://mirror.sjtu.edu.cn/anaconda/pkgs/r
  - https://mirror.sjtu.edu.cn/anaconda/pkgs/main
custom_channels:
  conda-forge: https://mirror.sjtu.edu.cn/anaconda/cloud/
  pytorch: https://mirror.sjtu.edu.cn/anaconda/cloud/
channels:
  - defaults
show_channel_urls: true

proxy_servers:
  http: 10.108.154.137:3128
  https: 10.108.154.137:3128
ssl_verify: false

# 清除索引缓存
conda clean -i

channel_alias: http://10.155.97.225:8088/repository/conda-proxy
default_channels:
  - main
  - r
  - conda-forge
channel_priority: strict
show_channel_urls: true

[Pycharm + Conda，实现不同版本python共存](http://3ms.huawei.com/km/blogs/details/13226093)

channels:
    - defaults
channel_priority: strict
show_channel_urls: true
channel_alias: http://10.243.65.94:8088/repository/conda-proxy
default_channels:
    - main
custom_channels:
    conda-forge: http://10.243.65.94:8088/repository/conda-extra-proxy
    pytorch: http://10.243.65.94:8088/repository/conda-extra-proxy

### python版本管理

# 查看当前版本
conda --version
# 更新conda
conda update conda

# 查看可用的python版本
conda search --full-name python
# 安装不同版本的python
conda create --name zxh python=3.11.3

### 环境管理

# 创建一个名为snowflakes的环境
conda create --name snowflakes python=3.7
# 激活环境
conda activate snowflakes
# 退出环境
conda deactivate
# 查看所有的环境
conda info --envs
# 复制snowflakes环境到flowers
conda create --name flowers --clone snowflakes
# 删除环境
conda remove --name flowers --all

### packages管理

# 查看当前环境下的已经安装的包
conda list
# 查找包
conda search beautifulsoup4
# 安装包到环境bunnies，不加--name时，默认安装到当前环境
conda install --name bunnies beautifulsoup4
# 删除指定环境里的包
conda remove --name bunnies iopro

## env

### proxy

os.environ["http_proxy"] = "http://127.0.0.1:7890"
os.environ["https_proxy"] = "http://127.0.0.1:7890"

import os

os.environ["http_proxy"] = ''
os.environ["https_proxy"] = ''
os.environ["no_proxy"] = "*"

## SSL

import ssl

ssl._create_default_https_context = ssl._create_unverified_context

import os
os.environ['CURL_CA_BUNDLE'] = ''

os.environ["http_proxy"] = 'http://10.108.218.221:3009/'
os.environ["https_proxy"] = 'http://10.108.218.221:3009/'

export CURL_CA_BUNDLE=""

D:\app\anaconda3\envs\aiagent\Lib\site-packages\requests
cd /d/app/anaconda3/envs/langchain/Lib/site-packages/requests
/root/anaconda3/envs/dify/lib/python3.10/site-packages/requests/sessions.py
os.environ.get("CURL_CA_BUNDLE")
修改这里的verify值
# 增加
verify = ''

import urllib3
urllib3.disable_warnings(urllib3.connectionpool.InsecureRequestWarning)

### 企业证书

# 1. 合并所有华为证书到一个文件
cd /path/to/ca-certificates  # 进入证书目录
cat HuaweiITMiniRootCA.crt \
    HuaweiITRootCA.crt \
    HuaweiSecureInternetPorxyCA.crt \
    HuaweiWebSecureInternetGatewayCA.crt \
    HWITEnterprise.crt > ~/huawei-ca-bundle.crt

# 2. 设置环境变量
export SSL_CERT_FILE=~/huawei-ca-bundle.crt
export REQUESTS_CA_BUNDLE=~/huawei-ca-bundle.crt

# 3. 安装 Python
uv python install 3.12 3.10

# 软件

## JupyterLab

# conda
conda install -c conda-forge jupyterlab
# pip
pip install jupyterlab

# 启动
jupyter lab --allow-root
jupyter-lab --no-browser --ip "51.36.139.26" --port 5678
# 配置文件
jupyter lab --generate-config
/Users/zhangxinhao/.jupyter/jupyter_lab_config.py

c.ServerApp.notebook_dir = '/Users/zhangxinhao/code/test/demo/python'


jupyter server password

vi /home/zhangxinhao/.jupyter/jupyter_lab_config.py

c.ServerApp.open_browser = False
c.ServerApp.ip = '*'
c.ServerApp.port = 9003
c.ServerApp.root_dir = '/opt/code/python/notebook'

### 后台启动

&让命令后台运行，并把标准输出 写入jupyterlab.log中。
nohup 表示no hang up ，就是不挂起，这个命令执行后即使终端退出，jupyter 也不会停止运行。

nohup jupyter lab --allow-root > jupyterlab.log 2>&1 &

## pytorch

### install

[Get Started](https://pytorch.org/get-started/locally/)

# mac
conda install pytorch::pytorch torchvision torchaudio -c pytorch

## gradio

pip install --trusted-host mirrors.tools.huawei.com -i https://mirrors.tools.huawei.com/pypi/simple gradio

## Poetry

[python-poetry](https://python-poetry.org/)