Using pyclearpass
Initial Usage Instructions
Within your favourite Python IDE environment, create an import reference
from pyclearpass import *
Create a object to login into ClearPass. The login object needs to be passed to use any function within the ClearPass API.
Two examples below shows how to create the login object (either one can be used, but not both).
- Using client credentials
login = ClearPassAPILogin(server="https://yourserver.network.local:443/api",granttype="client_credentials",
clientsecret="myclientsecretexample", clientid="myclientidexample", verify_ssl=False)
The login object will contain the APIToken once any function has been used. It obtains it once for the session and uses the same token through the execution of the rest of the script. You can extract this token and reuse it for other sessions if required (login.api_token). The token will only be available for reuse until the lifetime expires which was configured when specifying a new API Client within the ClearPass Guest Module.
- Using an explicitly defined api_token. You can generate an API token by clicking on the API client and then clicking 'Generate Access Token'.
login = ClearPassAPILogin(server="https://yourserver.network.local:443/api",api_token="yoursecretapitoken", verify_ssl=False)
Find an API you want to use, by prefixing Api
in your IDE and Intellisense will show the available APIs available. Each of the top level API category names are available as a module. Once you have chosen a specific API module to use, for example ApiPolicyElements, it will show you the available methods if you suffix a . to the command - ApiPolicyElements.
The example below prints a single the roles available within the ClearPass server.
print(ApiPolicyElements.get_role(login))
By default, the example above returns the first 25 roles. To view more, the limit needs to be adjusted. Placing your cursor over the .getRole will usually show you help about the method.
print(ApiPolicyElements.get_role(login, limit=100))
Help
Once you have written a specific API ApiName.FunctionName(
, placing your cursor over the command will show you help for the function and what the required parameters are (example is Visual Studio Code). The first parameter is always login.
You may also read the help for the function by calling help(ApiName.function_name)
.
Each function contains a help section on how to use it.
Python Package Upgrade Instructions
Once an update is available on the Python PyPi repository, you may upgrade your release by completing the following in a command line terminal -
pip3 install pyclearpass --upgrade
or
pip install pyclearpass --upgrade
To install a specific version, execute the following command with x.x.x being the specific version number you want to install.
pip3 install pyclearpass==x.x.x
or
pip install pyclearpass==x.x.x
Uninstall Package Package
To remove the Python pyclearpass package, type the following command into a command line terminal -
pip3 uninstall pyclearpass
or
pip uninstall pyclearpass
Further Usage Examples
The examples below all exclude importing the module and creating the login variable. This is described directly below. Note, these are just a full examples, there are hundreds of API commands available within the SDK.
New Login Session (Mandatory)
The login variable only needs to be defined once in the script. Two examples are shown below to achieve this;
- Using client_credentials
from pyclearpass import *
login = ClearPassAPILogin(server="https://yourserver.network.local:443/api",granttype="client_credentials",
clientsecret="myclientsecretexample", clientid="myclientidexample", verify_ssl=False)
As mentioned earlier, the login object will contain the API Token once any function has been used. It obtains it once for the session and uses the same token through the execution of the rest of the script. You can extract this token and reuse it for other sessions if required (login.api_token). The token will only be available for reuse until the lifetime expires which was configured when specifying a new API Client within the ClearPass Guest Module.
- Using an explicitly defined api_token. You can generate an API token by clicking on the API client and then clicking 'Generate Access Token'.
from pyclearpass import *
login = ClearPassAPILogin(server="https://yourserver.network.local:443/api",api_token="yoursecretapitoken", verify_ssl=False)
Get Local Server Configuration
import json
LSCGCS = ApiLocalServerConfiguration.get_cluster_server(login)
print(json.dumps(LSCGCS['_embedded']['items'],indent=1))
Get Total End Point Count
IGEP = ApiIdentities.get_endpoint(login, calculate_count='true')
print("Total MACs in Table: "+str(IGEP['count']))
Get Insight Device Details
print(ApiLogs.get_insight_endpoint_ip_by_ip(login,ip="192.168.0.99"))
Get list of Admin Users
AU = ApiGlobalServerConfiguration.get_admin_user(login)
for users in AU['_embedded']['items']:
print(users)
Add New Endpoint
newEndPoint = {
"mac_address": "11:22:33:44:55:66",
"description": "Demo EndPoint 1",
"status": "Known"
}
print(ApiIdentities.new_endpoint(login,body=newEndPoint))
Add New Role
role={"name": "Test1","description": "Test role made using the API Package in Python"}
print(ApiPolicyElements.new_role(login,body=role))
Delete Role
print(ApiPolicyElements.delete_role_name_by_name(login,name='Demo'))
Get Network Access Device
devices = ApiPolicyElements.get_network_device(login)
for device in devices["_embedded"]["items"]:
print(device)
Get Network Access Device by Name
print(ApiPolicyElements.get_network_device_name_by_name(login, "Lab-AP-IAP-VC"))
Add New Network Access Device
newNAD = {
"description": "LAB AP IAP VC",
"name": "Lab-AP-IAP-VC",
"ip_address": "192.168.0.100",
"radius_secret": "example_radius_secret",
"tacacs_secret": "example_tacacs_secret",
"vendor_name": "Aruba",
"coa_capable": True,
"coa_port": 3799,
"attributes": {"Device Type": "IAP"},
}
ApiPolicyElements.new_network_device(login, body=newNAD)
Add New Network Access Device via CSV
This example adds new Network Access Devices based on the CSV (comma delimited values) named "network access devices.csv" with headings and content filled rows.
name | description | ip_address | location |
---|---|---|---|
demo1 | example demo 1 | 192.168.100.1 | UK |
demo2 | example demo 2 | 192.168.100.2 | US |
import pandas as pd
df = pd.read_csv("network access devices.csv")
for index, items in df.iterrows():
newnad = {
"description": items["description"], # Description of the network device. Object Type: string
"name": items["name"], # Name of the network device. Object Type: string
"ip_address": items["ip_address"], # IP or Subnet Address of the network device. Object Type: string
"tacacs_secret": "testing123", # TACACS+ Shared Secret of the network device. Object Type: string
"vendor_name": "Aruba", # Vendor Name of the network device. Object Type: string
"attributes": {"Location": items["location"]},
}
print(ApiPolicyElements.new_network_device(login, body=newnad))
print(items["name"], items["ip_address"])
Update Network Access Device via CSV
This example updates Network Access Devices attributes based on the CSV (comma delimited values) named "network access devices updates.csv" with headings and content filled rows.
name | description | location |
---|---|---|
demo1 | updated demo 1 | US |
demo2 | updated demo 2 | UK |
import pandas as pd
df = pd.read_csv("network access devices updates.csv")
for index, items in df.iterrows():
nadupdate = {
"tacacs_secret": "updatedpassword123", # TACACS+ Shared Secret of the network device. Object Type: string
"description": items["description"], # Description of the network device. Object Type: string
"attributes": {"Location": items["location"]},
}
print(ApiPolicyElements.update_network_device_name_by_name(login,name=items["name"],body=nadupdate))
Update Network Device Group
This example updates an Network Device Group with additional IP Addresses 192.168.0.100 and 192.168.0.99.
These Network Access Devices must of been added before they can be appended to the group.
getcurrentnads = ApiPolicyElements.get_network_device_group_name_by_name(login,name="Example")
newnads={"value" : "192.168.0.100, 192.168.0.98"}
newnads["value"]=getcurrentnads['value']+", "+newnads["value"]
print(ApiPolicyElements.update_network_device_group_name_by_name(login,name="Example",body=newnads))
Ensure completion of validation checks
Validate the Network Access Device exists and is not already part of the Network Device Group before attempting to append to the group.
Add New Guest Device
This example adds a Guest Device including
- An expiry date within 24 hours in seconds
- Associated to the role ID of 3 (Guest in test environment)
- Statically assigned MPSK password
import time
new_guest_device = {
"enabled": True,
"expire_time": int(time.time()) + 86400,
"mac": "11:22:22:33:33:11",
"notes": "Created by API Test Script",
"role_id": 3,
"sponsor_profile_name": "Super Administrator",
"visitor_name": "API Test Device",
"mpsk":"SecretPassword",
"mpsk_enable":"1"
}
new_device= ApiIdentities.new_device(login,body=new_guest_device)
print(new_device)
Get Guest Device by MAC
import json
get_mac_address = "11-22-33-33-22-11"
view_guest_device = ApiIdentities.get_device_mac_by_macaddr(login,get_mac_address)
print(json.dumps(view_guest_device,indent=2))
Delete an Enforcement Policy
print(ApiPolicyElements.delete_enforcement_policy_by_enforcement_policy_id(login,enforcement_policy_id='3058'))
Create a new Enforcement Policy with staged initial rules and then a loop to create additional rules.
newEnforcementPolicy= {
"name": "MPSK Demo",
"description": "MPSK Enforcement",
"enforcement_type": "RADIUS",
"default_enforcement_profile": "Deny Device",
"rule_eval_algo": "first-applicable",
"rules": ''}
newEnforcementPolicyRules =({"rules":[]})
initialrule = {
"enforcement_profile_names": [
"Sample Enforcement Policy"
],
"condition": [
{
"type": "Connection",
"name": "AP-Name",
"oper": "BEGINS_WITH",
"value": "APDemo"
}
]
}
newEnforcementPolicyRules["rules"].append(initialrule)
for id in range(9,11):
randompsk = random.randint(8000000,9000000)
epf ={
"enforcement_profile_names": [
"Sample Enforcement Policy"
],
"condition": [
{
"type": "Connection",
"name": "AP-Name",
"oper": "BEGINS_WITH",
"value": "APNo"+str(id)
}
]
}
newEnforcementPolicyRules["rules"].append(epf)
newEnforcementPolicy["rules"] = newEnforcementPolicyRules["rules"]
print(ApiPolicyElements.new_enforcement_policy(login,body=newEnforcementPolicy))
You may find it easier to initially pull a working Enforcement Policy with minimal rules before trying to create a new one from scratch.
For example, the rule evaluation in the GUI shows as 'First applicable', however in the back-end it is shown as 'first-applicable'. This example is a working policy. It is demonstrated with a loop which could read an entry in a CSV file if adapted.
Update an existing Enforcement Policy, retaining the original items and using a loop to add additional items
epol = ApiPolicyElements.get_enforcement_policy_name_by_name(login, name="MPSK Enforcement")
OriginalRules = epol["rules"]
CombinedRules =({"rules":[]})
for item in range(len(OriginalRules)):
CombinedRules["rules"].append(OriginalRules[item])
for no in range(9,11):
rule ={
"enforcement_profile_names": [
"Sample Enforcement Policy"
],
"condition": [
{
"type": "Connection",
"name": "AP-Name",
"oper": "BEGINS_WITH",
"value": "APNo"+str(no)
}
]
}
CombinedRules["rules"].append(rule)
ApiPolicyElements.update_enforcement_policy_name_by_name(login,name="MPSK Enforcement",body=CombinedRules)
Updated 6 months ago