使用python脚本自动生成K8S-YAML的方法示例

 更新时间:2020年07月12日 09:17:44   作者:wx599981d853f0f  
这篇文章主要介绍了使用python脚本自动生成K8S-YAML的方法示例,文中通过示例代码介绍的非常详细,对大家的学习或者工作具有一定的参考学习价值,需要的朋友们下面随着小编来一起学习学习吧

1、生成 servie.yaml

1.1、yaml转json

service模板yaml

apiVersion: v1
kind: Service
metadata:
 name: ${jarName}
 labels:
  name: ${jarName}
  version: v1
spec:
 ports:
  - port: ${port}
   targetPort: ${port}
 selector:
  name: ${jarName}

转成json的结构

{
 "apiVersion": "v1",
 "kind": "Service",
 "metadata": {
  "name": "${jarName}",
  "labels": {
   "name": "${jarName}",
   "version": "v1"
  }
 },
 "spec": {
  "ports": [
   {
    "port": "${port}",
    "targetPort": "${port}"
   }
  ],
  "selector": {
   "name": "${jarName}"
  }
 }
}

1.2、关键代码

# 通过传入service_name及ports列表
def create_service_yaml(service_name, ports):

 # 将yaml读取为json,然后修改所有需要修改的${jarName}
 service_data['metadata']['name'] = service_name
 service_data['metadata']['labels']['name'] = service_name
 service_data['spec']['selector']['name'] = service_name

 # .spec.ports 比较特殊,是一个字典列表,由于传入的ports难以确定数量,难以直接修改
 # 新建一个列表,遍历传入的ports列表,将传入的每个port都生成为一个字典,添加入新列表中
 new_spec_ports = []
 for port in ports:
   port = int(port)
   new_port = {'port': port, 'targetPort': port}
   new_spec_ports.append(new_port)

 # 修改.spec.ports为新列表
 service_data['spec']['ports'] = new_spec_ports

2、生成 deployment.yaml

2.1、yaml转json

deployment模板yaml

apiVersion: apps/v1
kind: Deployment
metadata:
 name: ${jarName}
 labels:
  name: ${jarName}
spec:
 selector:
  matchLabels:
   name: ${jarName}
 replicas: 1
 template:
  metadata:
   labels:
    name: ${jarName}
  spec:
   containers:
   - name: ${jarName}
    image: reg.test.local/library/${jarName}:${tag}
   imagePullSecrets:
    - name: registry-secret

转成的json结构

{
 "apiVersion": "apps/v1",
 "kind": "Deployment",
 "metadata": {
  "name": "${jarName}",
  "labels": {
   "name": "${jarName}"
  }
 },
 "spec": {
  "selector": {
   "matchLabels": {
    "name": "${jarName}"
   }
  },
  "replicas": 1,
  "template": {
   "metadata": {
    "labels": {
     "name": "${jarName}"
    }
   },
   "spec": {
    "containers": [
     {
      "name": "${jarName}",
      "image": "reg.test.local/library/${jarName}:${tag}"
     }
    ],
    "imagePullSecrets": [
     {
      "name": "registry-secret"
     }
    ]
   }
  }
 }
}

2.2、关键代码

# 传入service_name及image tag
def create_deploy_yaml(service_name, tag):

 # 首先修改所有的${jarName}
 deploy_data['metadata']['name'] = service_name
 deploy_data['metadata']['labels']['name'] = service_name
 deploy_data['spec']['selector']['matchLabels']['name'] = service_name
 deploy_data['spec']['template']['metadata']['labels']['name'] = service_name 

 # 由于.spec.template.spec.containers的特殊性,我们采用直接修改的方式
 # 首先拼接image字段
 image = "reg.test.local/library/" + service_name + ":" + tag
 # 创建new_containers字典列表
 new_containers = [{'name': service_name, 'image': image}]
 deploy_data['spec']['template']['spec']['containers'] = new_containers

3、完整脚本

#!/usr/bin/python
# encoding: utf-8

"""
The Script for Auto Create Deployment Yaml.

File:        auto_create_deploy_yaml
User:        miaocunfa
Create Date:    2020-06-10
Create Time:    17:06
"""

import os
from ruamel.yaml import YAML

yaml = YAML()

def create_service_yaml(service_name, ports):

  service_mould_file = "mould/info-service-mould.yaml"
  isServiceMould = os.path.isfile(service_mould_file)

  if isServiceMould:
    # read Service-mould yaml convert json
    with open(service_mould_file, encoding='utf-8') as yaml_obj:
      service_data = yaml.load(yaml_obj)

    # Update jarName
    service_data['metadata']['name'] = service_name
    service_data['metadata']['labels']['name'] = service_name
    service_data['spec']['selector']['name'] = service_name

    # Update port
    new_spec_ports = []
    for port in ports:
      port = int(port)
      portname = 'port' + str(port)
      new_port = {'name': portname, 'port': port, 'targetPort': port}
      new_spec_ports.append(new_port)
    service_data['spec']['ports'] = new_spec_ports

    # json To service yaml
    save_file = tag + '/' + service_name + '_svc.yaml'
    with open(save_file, mode='w', encoding='utf-8') as yaml_obj:
      yaml.dump(service_data, yaml_obj)

    print(save_file + ": Success!")
  else:
    print("Service Mould File is Not Exist!")

def create_deploy_yaml(service_name, tag):

  deploy_mould_file = "mould/info-deploy-mould.yaml"
  isDeployMould = os.path.isfile(deploy_mould_file)

  if isDeployMould:
    with open(deploy_mould_file, encoding='utf-8') as yaml_obj:
      deploy_data = yaml.load(yaml_obj)

    # Update jarName
    deploy_data['metadata']['name'] = service_name
    deploy_data['metadata']['labels']['name'] = service_name
    deploy_data['spec']['selector']['matchLabels']['name'] = service_name
    deploy_data['spec']['template']['metadata']['labels']['name'] = service_name 

    # Update containers
    image = "reg.test.local/library/" + service_name + ":" + tag
    new_containers = [{'name': service_name, 'image': image}]
    deploy_data['spec']['template']['spec']['containers'] = new_containers

    # json To service yaml
    save_file = tag + '/' + service_name + '_deploy.yaml'
    with open(save_file, mode='w', encoding='utf-8') as yaml_obj:
      yaml.dump(deploy_data, yaml_obj)

    print(save_file + ": Success!")
  else:
    print("Deploy Mould File is Not Exist!")

services = {
  'info-gateway':        ['9999'],
  'info-admin':         ['7777'],
  'info-config':        ['8888'],
  'info-message-service':    ['8555', '9666'],
  'info-auth-service':     ['8666'],
  'info-scheduler-service':   ['8777'],
  'info-uc-service':      ['8800'],
  'info-ad-service':      ['8801'],
  'info-community-service':   ['8802'],
  'info-groupon-service':    ['8803'],
  'info-hotel-service':     ['8804'],
  'info-nearby-service':    ['8805'],
  'info-news-service':     ['8806'],
  'info-store-service':     ['8807'],
  'info-payment-service':    ['8808'],
  'info-agent-service':     ['8809'],
  'info-consumer-service':   ['8090'],
}

prompt = "\n请输入要生成的tag: "
answer = input(prompt)
print("")

if os.path.isdir(answer):
  raise SystemExit(answer + ': is Already exists!')
else:
  tag = answer
  os.makedirs(tag)
  for service_name, service_ports in services.items():
    create_service_yaml(service_name, service_ports)
    create_deploy_yaml(service_name, tag)

4、执行效果

➜ python3 Auto_Create_K8S_YAML.py

请输入要生成的tag: 0.0.1

0.0.1/info-gateway_svc.yaml: Success!
0.0.1/info-gateway_deploy.yaml: Success!
0.0.1/info-admin_svc.yaml: Success!
0.0.1/info-admin_deploy.yaml: Success!
0.0.1/info-config_svc.yaml: Success!
0.0.1/info-config_deploy.yaml: Success!
0.0.1/info-message-service_svc.yaml: Success!
0.0.1/info-message-service_deploy.yaml: Success!
0.0.1/info-auth-service_svc.yaml: Success!
0.0.1/info-auth-service_deploy.yaml: Success!
0.0.1/info-scheduler-service_svc.yaml: Success!
0.0.1/info-scheduler-service_deploy.yaml: Success!
0.0.1/info-uc-service_svc.yaml: Success!
0.0.1/info-uc-service_deploy.yaml: Success!
0.0.1/info-ad-service_svc.yaml: Success!
0.0.1/info-ad-service_deploy.yaml: Success!
0.0.1/info-community-service_svc.yaml: Success!
0.0.1/info-community-service_deploy.yaml: Success!
0.0.1/info-groupon-service_svc.yaml: Success!
0.0.1/info-groupon-service_deploy.yaml: Success!
0.0.1/info-hotel-service_svc.yaml: Success!
0.0.1/info-hotel-service_deploy.yaml: Success!
0.0.1/info-nearby-service_svc.yaml: Success!
0.0.1/info-nearby-service_deploy.yaml: Success!
0.0.1/info-news-service_svc.yaml: Success!
0.0.1/info-news-service_deploy.yaml: Success!
0.0.1/info-store-service_svc.yaml: Success!
0.0.1/info-store-service_deploy.yaml: Success!
0.0.1/info-payment-service_svc.yaml: Success!
0.0.1/info-payment-service_deploy.yaml: Success!
0.0.1/info-agent-service_svc.yaml: Success!
0.0.1/info-agent-service_deploy.yaml: Success!
0.0.1/info-consumer-service_svc.yaml: Success!
0.0.1/info-consumer-service_deploy.yaml: Success!

➜ ll
total 12
drwxr-xr-x. 2 root root 4096 Jun 29 18:24 0.0.1

# 生成的 service yaml
➜ cat info-message-service_svc.yaml
apiVersion: v1
kind: Service
metadata:
 name: info-message-service
 labels:
  name: info-message-service
  version: v1
spec:
 ports:
 - name: port8555
  port: 8555
  targetPort: 8555
 - name: port9666
  port: 9666
  targetPort: 9666
 selector:
  name: info-message-service

# 生成的 deployment yaml
➜ cat info-message-service_deploy.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
 name: info-message-service
 labels:
  name: info-message-service
spec:
 selector:
  matchLabels:
   name: info-message-service
 replicas: 2
 template:
  metadata:
   labels:
    name: info-message-service
  spec:
   containers:
   - name: info-message-service
    image: reg.test.local/library/info-message-service:0.0.1
   imagePullSecrets:
   - name: registry-secret

到此这篇关于使用python脚本自动生成K8S-YAML的方法示例的文章就介绍到这了,更多相关python自动生成K8S-YAML内容请搜索脚本之家以前的文章或继续浏览下面的相关文章希望大家以后多多支持脚本之家!

相关文章

  • 对python实时得到鼠标位置的示例讲解

    对python实时得到鼠标位置的示例讲解

    今天小编就为大家分享一篇对python实时得到鼠标位置的示例讲解,具有很好的参考价值,希望对大家有所帮助。一起跟随小编过来看看吧
    2018-10-10
  • python中迭代器(iterator)用法实例分析

    python中迭代器(iterator)用法实例分析

    这篇文章主要介绍了python中迭代器(iterator)用法,实例分析了Python中迭代器的相关使用技巧,非常具有实用价值,需要的朋友可以参考下
    2015-04-04
  • Python进阶篇之字典操作总结

    Python进阶篇之字典操作总结

    字典是Python语言中唯一的映射类型。字典对象是可变的,它是一个容器类型,能存储任意个数的Python对象,其中也可包括其他容器类型。在学习了 Python 基本的字典操作后,通过学习本文的这些进阶操作,让写出的代码更加优雅简洁和pythonic。下面来一起看看吧。
    2016-11-11
  • python实现控制台打印的方法

    python实现控制台打印的方法

    今天小编就为大家分享一篇python实现控制台打印的方法,具有很好的参考价值,希望对大家有所帮助。一起跟随小编过来看看吧
    2019-01-01
  • python3处理word文档实例分析

    python3处理word文档实例分析

    在本篇文章里小编给大家分享了一篇关于python3处理word文档实例分析内容,有兴趣的朋友们可以参考下。
    2020-12-12
  • 在Python中利用Pandas库处理大数据的简单介绍

    在Python中利用Pandas库处理大数据的简单介绍

    这篇文章简单介绍了在Python中利用Pandas处理大数据的过程,Pandas库的使用能够很好地展现数据结构,是近来Python项目中经常被使用使用的热门技术,需要的朋友可以参考下
    2015-04-04
  • python 排序算法总结及实例详解

    python 排序算法总结及实例详解

    这篇文章主要介绍了python 排序算法总结及实例详解的相关资料,需要的朋友可以参考下
    2016-09-09
  • Python字符串三种格式化输出

    Python字符串三种格式化输出

    这篇文章主要介绍了Python字符串三种格式化输出,需要的朋友可以参考下
    2020-09-09
  • 基于python3实现倒叙字符串

    基于python3实现倒叙字符串

    这篇文章主要介绍了基于python3实现倒叙字符串,文中通过示例代码介绍的非常详细,对大家的学习或者工作具有一定的参考学习价值,需要的朋友可以参考下
    2020-02-02
  • Python批量处理csv并保存过程解析

    Python批量处理csv并保存过程解析

    这篇文章主要介绍了Python批量处理csv并保存过程解析,文中通过示例代码介绍的非常详细,对大家的学习或者工作具有一定的参考学习价值,需要的朋友可以参考下
    2020-05-05

最新评论