今天上午有个同学在debian邮件列表里询问,如何将他的启动脚本,设置成systemd服务。当然邮件列表里有热心的读者给出了答案。我想这个问题能否由ChatGPT回答呢?于是在ChatGPT的online接口里也询问了同样的问题,结果bot给出的答案既快速又准确,令人难忘。
我又想到,在devops领域,经常要写各种配置文件。比如你用terraform,就要写main.tf,用docker,就要写Dockerfile。更别说还有k8s这种十分复杂的YAML配置文件。那么这些配置能否由ChatGPT生成呢?实践如下。
第一个问题,关于docker的,输出如下。
Q: generate a dockerfile for apache2 deployment.
A: Sure, here is a sample Dockerfile for deploying Apache2:
```
# Use an official Ubuntu runtime as a parent image
FROM ubuntu:latest
# Update the package lists
RUN apt-get update
# Install Apache2
RUN apt-get install -y apache2
# Expose port 80 for HTTP traffic
EXPOSE 80
# Set the Apache2 server name
ENV APACHE_SERVER_NAME localhost
# Copy the Apache2 configuration file
COPY ./apache2.conf /etc/apache2/apache2.conf
# Start Apache2 service
CMD ["apache2ctl", "-D", "FOREGROUND"]
```
Note: This Dockerfile assumes that you have a custom Apache2 configuration file named `apache2.conf` in the same directory as the Dockerfile. You can replace `localhost` with your actual server name or IP address in the `APACHE_SERVER_NAME` environment variable. Also, this Dockerfile uses the latest version of Ubuntu, but you can replace it with any Ubuntu version that suits your needs.
第二个问题,关于terraform的,输出如下。
Q: Please generate a configuration for terraform which would deploy a GCP instance.
A: Sure, here's an example Terraform configuration that deploys a Google Cloud Platform (GCP) instance:
```
provider "google" {
credentials = "${file("path/to/your/keyfile.json")}"
project = "your-project-id"
region = "us-central1"
}
resource "google_compute_instance" "my_instance" {
name = "my-instance"
machine_type = "n1-standard-1"
zone = "us-central1-a"
boot_disk {
initialize_params {
image = "debian-cloud/debian-9"
}
}
network_interface {
network = "default"
access_config {
// Ephemeral IP
}
}
}
```
This configuration uses the `google` provider to connect to GCP. Replace `path/to/your/keyfile.json` with the path to your GCP service account key file, and replace `your-project-id` with your GCP project ID.
The configuration deploys a GCP instance named `my-instance` in the `us-central1-a` zone, using the `n1-standard-1` machine type. It also uses the Debian 9 image as the boot disk.
The network configuration uses the default network and creates an ephemeral IP address for the instance.
You can run this configuration using the following Terraform commands:
```
terraform init
terraform plan
terraform apply
```
The `terraform apply` command will deploy the GCP instance.
I hope this helps! Let me know if you have any further questions.
上述对答可以看到,bot给出的答案相当准确。这真是令人惊讶!难怪网上呼吁ChatGPT即将让程序员失业,这样看来没有创造性的程序员,估计就要被这种人工智能代替了。
与此同时,众多的问答社区,尤其是我熟知的技术社区,比如stackoverflow, serverfault, reddit这种,估计都要面临巨大压力。因为ChatGPT给出的答案,不仅准确而且快速。只要你把问题描述妥当,bot就能即刻给出正确回答,比问答社区强多了。在社区里,你首先要注册个账号,要去学习社区的各种规则(搞不好就封号了),在提问后还要耐心等待其他人的回答。如果你问题提的不好,可能还要被有经验的社区成员鄙视。
当然,也不是说ChatGPT就能完全代替问答社区里的真人交流。因为人工智能是基于已有经验进行学习的,而技术人员遇到的问题千奇百怪,很可能有的问题,其他真实程序员也遇到过,但ChatGPT没学习过,它就无能为力了。况且ChatGPT学习的数据有时间期限,最近出现的新东西它没学习过,也就不知如何回答。
总体上,ChatGPT这种基于transformer的大模型表现的效果令人惊异,它会改变很多领域的生产姿态。比如内容创作、教学、美术、设计、编程、律师等行业的生产模式,估计会被人工智能大幅改进,提高效率的同时节省成本。与之对应的就是迎来新的一批下岗失业人员,如同200年前蒸汽革命带来手工操作工人大量失业一样。