Apache Libcloud为Kamatera提供驱动程序

安装

• 安装Libcloud（版本2.8.2或更高版本）
• 使用与Libcloud安装相同的Python解释器安装驱动程序
  • pip安装libcloud-driver-kamatera

使用方法

启用API访问

为了允许API访问您的Kamatera账户，您需要首先通过访问Kamatera控制台并在API密钥下添加新密钥来添加API密钥。使用创建的密钥Client ID和Secret作为驱动程序构造函数的参数。

实例化一个驱动程序

from libcloud_driver_kamatera import get_node_driver

cls = get_node_driver()
driver = cls('KAMATERA API CLIENT ID', 'KAMATERA API SECRET')

获取服务器选项

选择位置

locations = {location.id: location for location in driver.list_locations()}
for location in locations.values():
    print(location)

# <NodeLocation: id=AS, name=Hong Kong, country=China
# <NodeLocation: id=CA-TR, name=Toronto, country=Canada
# <NodeLocation: id=EU, name=Amsterdam, country=The Netherlands
# <NodeLocation: id=EU-FR, name=Frankfurt, country=Germany
# <NodeLocation: id=EU-LO, name=London, country=United Kingdom
# <NodeLocation: id=IL, name=Rosh Haayin, country=Israel
# <NodeLocation: id=IL-JR, name=Jerusalem, country=Israel
# <NodeLocation: id=IL-PT, name=Petach Tikva, country=Israel
# <NodeLocation: id=IL-RH, name=Rosh Haayin 2, country=Israel
# <NodeLocation: id=IL-TA, name=Tel Aviv, country=Israel
# <NodeLocation: id=US-NY2, name=New York, country=United States
# <NodeLocation: id=US-SC, name=Santa Clara, country=United States
# <NodeLocation: id=US-TX, name=Texas, country=United States

location = locations['US-NY2']

创建节点大小对象

# get the capabilities for this location

capabilities = driver.ex_list_capabilities(location)

# choose a cpu type

cpuTypes = {cpuType['id']: cpuType for cpuType in capabilities['cpuTypes']}
for cpuType in cpuTypes.values():
    print('%s: %s' % (cpuType['name'], cpuType['description']))

# Type B - General Purpose: Server CPUs are assigned to a dedicated physical
#          CPU Thread with reserved resources guaranteed.
# Type D - Dedicated: Server CPU are assigned to a dedicated physical CPU Core
#          (2 threads) with reserved resources guaranteed.
# Type T - Burstable: Server CPUs are assigned to a dedicated physical CPU
#          thread with reserved resources guaranteed.
# Type A - Availability: Server CPUs are assigned to a non-dedicated physical
#          CPU thread with no resources guaranteed.

cpuType = cpuTypes['B']

# choose number of cpu cores

print(cpuType['cpuCores'])

# [1, 2, 4, 6, 8, 12, 16, 20, 24, 28, 32, 36, 40, 48, 56, 64, 72]

cpuCores = 2

# choose amount of RAM

print(cpuType['ramMB'])

# [256, 512, 1024, 2048, 3072, 4096, 6144, 8192, 10240, 12288, 16384, 24576,
#  32768, 49152, 65536, 98304, 131072, 200704, 262144, 327680, 393216]

ramMB = 2048

# choose disk sizes

print(capabilities['diskSizeGB'])

# [5, 10, 15, 20, 30, 40, 50, 60, 80, 100, 150, 200, 250, 300, 350, 400, 450,
#  500, 600, 700, 800, 900, 1000, 1500, 2000, 3000, 4000]

# primary disk size

diskSizeGB = 20

# additional disks (up to 3 additional disks)

extraDiskSizesGB = [100, 200]

# choose a billing cycle

billingCycle = driver.EX_BILLINGCYCLE_MONTHLY
# billingCycle = driver.EX_BILLINGCYCLE_HOURLY

# in case of monthly billing cycle, choose traffic package

print(capabilities['monthlyTrafficPackage'])

# {'b50': '50Mbit/sec unmetered on 10Gbit/sec port',
#  't5000': '5000GB/month on 10Gbit/sec port'}

monthlyTrafficPackage = 't5000'

# create node size object

size = driver.ex_get_size(ramMB, diskSizeGB, cpuType['id'], cpuCores,
                          extraDiskSizesGB=extraDiskSizesGB,
                          monthlyTrafficPackage=monthlyTrafficPackage)

选择操作系统映像

images = {image.id: image for image in driver.list_images(location)}

for image in images.values():
    print('%s: %s' % (image.id, image.name))

# list is shortened, actual list will vary and provide more OS image options

# US-NY2:6000C2987c9641fd2619a149ba2ca01a: CentOS 8.0 64-bit - Minimal
# US-NY2:6000C29b85c6367d215d403f44c28f48: CentOS 8.0 64-bit - Basic Server
# US-NY2:6000C29bb8fde673f515caf9bed695a1: Debian version 8.9 (jessie) 64-bit
# US-NY2:6000C29e4131d66b806c25c48ab0b810: FreeBSD 12.1 64-bit
# US-NY2:6000C2983bdd8b531ecfc6d892a35aa4: FreeBSD 11.1 32-bit
# US-NY2:6000C29a5a7220dcf84716e7bba74215: Ubuntu Server version 18.04 LTS
# US-NY2:6000C298bbb2d3b6e9721f4f4f3c5bf0: Ubuntu Server version 16.04 LTS

image = images['US-NY2:6000C29a5a7220dcf84716e7bba74215']

设置网络配置（最多可以添加4个接口）

networks = []

添加wan以获取公共IP

networks.append({'name': 'wan', 'ip': 'auto'})

添加vlan接口以获取私有IP（vlan网络名称和IP应在Kamatera控制台中配置）

networks.append({'name': '12345-my-vlan', 'ip': 'auto'})

创建服务器

node = driver.create_node(
    name='test_libcloud_server',
    size=size,
    image=image,
    location=location,
    ex_networks=networks,
    ex_dailybackup=False,  # create daily backups for the node?
    ex_managed=False,  # provide managed support for the node?
    ex_billingcycle=billingCycle
)

获取SSH连接详情

print('root@%s  /  %s' % (node.public_ips[0],
                          node.extra['generated_password']))

服务器操作

列出所有节点（快速操作，为每个节点提供基本详情）

nodes = driver.list_nodes()

获取特定节点的更多详情

node = driver.list_nodes(ex_id=nodes[0].id)[0]
print(node)

根据节点名称的正则表达式列出带有完整详情的节点

nodes = driver.list_nodes(ex_name_regex='test_libcloud.*')
print(nodes[0])

# <Node: uuid=9566552b254b42063e87ba644a982d330602b06c,
#        name=test_libcloud_server, state=RUNNING,
#        public_ips=['138.128.241.118'], private_ips=[], provider=Kamatera

print(nodes[0].extra)

# {'billingcycle': 'monthly', 'priceOn': '25', 'priceOff': '25',
#  'location': <NodeLocation: id=US-NY2>, 'dailybackup': False,
#  'managed': False}

列出带有完整详情的所有节点（较慢的操作）

nodes = driver.list_nodes(ex_full_details=True)
node = nodes[0]

运行操作

driver.start_node(node)
driver.stop_node(node)
driver.reboot_node(node)
driver.destroy_node(node)