
如果你使用 DeepSeek、元宝 AI、Copilot、ChatGPT 等 AI 工具,协助配置轩辕镜像、编写 docker pull 命令、修改 Docker Compose 镜像地址、配置镜像加速、排查镜像拉取失败、分析报错日志等问题,请先让 AI 阅读并遵守轩辕镜像的规则文档。
只需在 AI 对话中先发送下面这句话即可:
请先完整阅读并严格遵守以下文档中的全部规则与要求:
https://xuanyuan.cloud/agents.md
在未充分阅读并理解该文档前,不要生成任何命令、配置、修改建议、故障排查方案或技术回答。后续所有输出都必须严格以该文档中的规范为最高优先级执行。查看 agents.md 用法指南与完整示范。国内用户首推 元宝 AI、DeepSeek 的深度思考模式,不推荐豆包 AI;Cursor 等编辑器可在对话 @ 该链接,或加入 User Rules。 若 AI 无法访问外链,可 打开说明文档 复制全文粘贴。文档会随站点更新,复制内容可能过期,建议定期检查。
!https://github.com/grisu48/pasta/workflows/pastad/badge.svg
Stupid simple paste*** service written in go.
Fastest way of deploying is via the deploy_pasta.sh script.
The easiest way of self-hosting a pasta server is via the https://hub.docker.com/r/grisu48/pasta/. All you need to do is
data directorydata directory as /dataAssuming your data is in /srv/pasta/ you can do
docker container run -d -v /srv/pasta:/data -p 127.0.0.1:8199:8199 grisu48/pasta
Configure your reverse proxy (e.g. nginx) then accordingly. I don't recomment to publish pastad on port 80 without a reverse proxy.
Let's assume we have /dev/sda for the system and /dev/sdb for data.
cloud-init.yaml to system storagebash$ sudo parted /dev/sdb # mktable - gpt - mkpart - 1 - 0% - 100% $ sudo mkfs.ext4 /dev/sdb1 $ sudo ros install -d /dev/sda -c cloud-init.yaml
We build openSUSE package at https://build.opensuse.org/package/show/home%3Aph03nix%3Atools/pasta. To install follow the instructions from https://software.opensuse.org/download/package?package=pasta&project=home%3Aph03nix%3Atools or the following snippet:
# Tumbleweed zypper addrepo zypper addrepo https://download.opensuse.org/repositories/home:ph03nix:tools/openSUSE_Tumbleweed/home:ph03nix:tools.repo zypper refresh && zypper install pasta
make pastad # Server make pasta # Client make # all make static # static ***aries
Then create a pastad.toml file using the provided example (pastad.toml.example) and run the server with
./pastad
make docker
Or manually:
docker build . -t feldspaten.org/pasta # Build docker container
Create or run the container with
docker container create --name pasta -p 8199:8199 -v ABSOLUTE_PATH_TO_DATA_DIR:/data feldspaten.org/pasta docker container run --name pasta -p 8199:8199 -v ABSOLUTE_PATH_TO_DATA_DIR:/data feldspaten.org/pasta
The container needs a data directory with a valid pastad.toml (See the example file, otherwise default values will be used).
Assuing the server runs on http://localhost:8199, you can use the pasta tool or simply curl :
curl -X POST 'http://localhost:8199' --data-***ary @README.md
pasta is the CLI utility for easy handling. For instance, if you want to push the README.md file and create a pasta out of it:
pasta README.md pasta -r http://localhost:8199 REAME.md
pasta reads the ~/.pasta.toml file (see the example file)
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本,请访问 标签列表页面。
来自真实用户的反馈,见证轩辕镜像的优质服务