离线迁移Python环境的两种方案(从LLaMA-Factory依赖迁移到内网pip源搭建)

# 创建环境
conda create -n llama-factory python=3.10 -y
conda activate llama-factory
# 克隆项目并安装依赖
git clone https://github.com/hiyouga/LlamaFactory.git
cd LlamaFactory
pip install -e .
# 验证依赖完整性
python -c "import torch; print(torch.__version__)"
llamafactory-cli version
# 打包环境（建议在 base 环境执行）
conda activate base
conda install -c conda-forge conda-pack -y
conda pack -n llama-factory -o llama-factory.tar.gz

# 解压到 conda envs 目录
mkdir -p ~/miniconda3/envs/llama-factory
tar -xzf llama-factory.tar.gz -C ~/miniconda3/envs/llama-factory

# 激活并修复路径（关键步骤，不可省略）
conda activate llama-factory
conda-unpack

# 验证
python -c "import torch; print(torch.__version__)"
llamafactory-cli version

cd LlamaFactory
mkdir wheels

# 按 requirements.txt 下载
pip download -r requirements.txt -d wheels

# 下载当前项目依赖
pip download -e . -d wheels
# 若 -e . 报错，改用：pip download . -d wheels

conda create -n llama-factory python=3.10 -y
conda activate llama-factory
pip install --no-index --find-links=wheels -e .

pip download -r requirements.txt -d wheels \
  --platform manylinux2014_x86_64 \
  --python-version 310 \
  --abi cp310 \
  --only-binary=:all:

pip install --no-index --find-links=/path/to/wheels -r requirements.txt

# 安装 pypiserver（需提前把 pypiserver 的 wheel 拷过来）
pip install --no-index --find-links=/path/to/wheels pypiserver passlib

# 创建专用运行用户
sudo useradd -r -s /sbin/nologin -d /data/packages pypi

# 设置目录权限
sudo chown -R pypi:pypi /data/packages
sudo chmod -R 755 /data/packages

sudo htpasswd -c /etc/pypiserver/htpasswd pypiuser
# 若无 htpasswd 命令，用 Python 生成：
python -c "from passlib.apache import HtpasswdFile; hf = HtpasswdFile('/etc/pypiserver/htpasswd', new=True); hf.set_password('pypiuser', '你的密码'); hf.save()"

sudo chown pypi:pypi /etc/pypiserver/htpasswd
sudo chmod 640 /etc/pypiserver/htpasswd

[Unit]
Description=PyPI Server (Offline Package Repository)
After=network.target

[Service]
Type=simple
User=pypi
Group=pypi
ExecStart=/usr/local/bin/pypi-server run \
    -p 8080 \
    -P /etc/pypiserver/htpasswd \
    -a /etc/pypiserver/htpasswd \
    --verbose \
    /data/packages

Restart=on-failure
RestartSec=5
NoNewPrivileges=true
ProtectSystem=strict
ProtectHome=true
ReadWritePaths=/data/packages

[Install]
WantedBy=multi-user.target

sudo systemctl daemon-reload
sudo systemctl start pypiserver
sudo systemctl enable pypiserver
sudo systemctl status pypiserver
sudo journalctl -u pypiserver -f   # 查看日志

# 无认证版
pip config set global.index-url http://<server_ip>:8080/simple
pip config set global.trusted-host <server_ip>

# 认证版
pip config set global.index-url http://pypiuser:密码@<server_ip>:8080/simple
pip config set global.trusted-host <server_ip>

pip install requests --dry-run

# CentOS 7
sudo firewall-cmd --permanent --add-port=8080/tcp
sudo firewall-cmd --reload

# Ubuntu
sudo ufw allow 8080/tcp

cp new-package-1.0.0-cp310-manylinux2014_x86_64.whl /data/packages/

pip install twine
twine upload --repository-url http://<server_ip>:8080/ -u pypiuser -p 密码 dist/*.whl

联网机（同系统或指定 manylinux2014）
  ├── conda create → pip install -e . → 验证
  ├── 方案A: conda pack -o llama-factory.tar.gz
  └── 方案B: pip download -r requirements.txt -d wheels
              ↓ 拷贝压缩包或 wheels 目录
离线机
  ├── 方案A: 解压 → conda activate → conda-unpack → 验证
  └── 方案B: conda create → pip install --no-index --find-links=wheels -e .
              ↓ 若需长期维护
内网 pip 源
  ├── pypiserver + systemd 自启
  ├── 客户端 pip.conf 配置 index-url
  └── 后续直接 pip install 即可