Are you looking for a flexible, scalable, efficient network automation framework, where all tasks are written in Python programming language? If yes, then you are at the right place! And it is Nornir !!!
Nornir is a multi-threaded network automation framework that abstracts inventory and task execution. It helps to automate your network tasks efficiently. You can execute the tasks like configuring the devices, validating the operational data, and enabling the services on the provided hosts which are part of the inventory. As it is multithreaded, it allows you to manage the configuration of multiple network devices concurrently. It is an open-source project, completely written in python and easy to use. You should write a simple python code to make use of Nornir features.
- Firstly, it is an open-source project, hence it is free to use and you can develop features on top of the Nornir framework based on your requirement.
- It has an active community and well-maintained documentation.
- As Nornir is completely written in python, it is easy to
- install
- write code
- integrate with any other python frameworks (Flask, Django, Pytest)
- troubleshoot and debug the issues using python debug tools
- It reuses existing python libraries like Netmiko and Napalm to connect and manage the devices.
- The use of multithreading greatly optimizes the execution time of the tasks.
- You can effectively manage the hosts and groups separately as part of the inventory.
If you would like to isolate the dependencies of Nornir from the system, you can create a python virtual environment.
Install virtualenv package using pip. pip is a package installer for Python. Here I am using Python 3.7.3 version.
pip install virtualenv
Using virtualenv package, create a python virtual environment. Refer creation of python virtual environments.
virtualenv nornir_venv
Now activate the virtual environment.
source ~/nornir_venv/bin/activate
In the “nornir_venv” virtual environment, install nornir. At the moment of producing this tutorial latest version of nornir is 3.0.0.
pip install nornir
Install Nornir plugin nornir-napalm. It provides napalm connections
through which you connect to the device and execute tasks
like napalm_cli
, napalm_configure
, napalm_get
, napalm_ping
, and napalm_validate
.
- If you assign
task=napalm_cli
in nornir, then you can execute the napalm CLI method with the provided CLI commands. For examplecommands=["show interfaces"]
. - If you assign
task=napalm_configure
, you can configure the devices with the provided configuration or filename. For exampleconfiguration="hostname nornir"
. - If you assign
task=napalm_get
, you can execute napalm getters with the provided getter methods. For examplegetters=["interfaces"]
. - If you assign
task=napalm_ping
, you can execute the napalm ping method with the provided destination address. For exampledest="172.11.4.5"
. - If you assign
task=napalm_validate
, you can validate device configuration with the provided validation source or filename. For examplevalidation_source=[{"get_interfaces": {"GigabitEthernet1": {"description": ""}}}]
.
pip install nornir-napalm
Install Nornir plugin nornir-utils. It provides plugins like inventory
, functions
, processors
, and tasks
.
- The inventory offers a
YAMLInventory
plugin to load data from YAML files. - Functions offer
print_result
,print_title
helper functions to format and print the result/title as the output. - Processors offer
PrintResult
addon to print information of task execution. - Tasks offer addons like
echo_data
to echo the data passed to it,load_json
to load JSON file,load_yaml
to load YAML file andwrite_file
to write content to the file.
pip install nornir-utils
Once you have all the required packages installed, go ahead and write the code to retrieve, configure or validate device data.
Create a directory called inventory and in that create the inventory files hosts.yaml
, groups.yaml
, and defaults.yaml
.
hosts.yaml
# hosts.yaml
---
rt1:
hostname: 171.190.10.64
groups:
- iosxr
rt2:
hostname: 10.30.11.170
groups:
- ios
groups.yaml
# groups.yaml
---
iosxr:
platform: 'iosxr'
ios:
platform: 'ios'
defaults.yaml
# defaults.yaml
username: admin
password: admin
FYI, execute below python code to understand the schema of the objects (hosts, groups, defaults).
from nornir.core.inventory import Host, Group, Defaults
import json
print(json.dumps(Host.schema(), indent=4))
print(json.dumps(Group.schema(), indent=4))
print(json.dumps(Defaults.schema(), indent=4))
Now come out of the inventory directory and create a config file that provides information about the inventory and runner to the main file.
config.yaml
# config.yaml
---
inventory:
plugin: SimpleInventory
options:
host_file: 'inventory/hosts.yaml'
group_file: 'inventory/groups.yaml'
defaults_file: 'inventory/defaults.yaml'
runner:
plugin: threaded
options:
num_workers: 2
Config file provides inventory and task parallelization information to the main file. Nornir will use a different thread for each host to concurrently execute the tasks of the hosts. You can provide the number of threads to be used by your code in the num_workers
option of the runner plugin. If num_workers == 1
, tasks of the hosts are executed one after the other in a simple loop. This case helps to troubleshoot or debug the issues. Generally, you can provide a number greater than 1 to num_workers
else it defaults to 20. In my case, I am assigning value 2 to num_workers
, as I am dealing with two hosts.
nornir_main.py
from nornir import InitNornir
from nornir_utils.plugins.functions import print_result
from nornir_napalm.plugins.tasks import napalm_get
nr = InitNornir(
config_file="config.yaml", dry_run=True
)
results = nr.run(
task=napalm_get, getters=["facts"]
)
print_result(results)
This is the main file where you initialize Nornir with the InitNornir
function and provide the configuration file. In the next step, call a run method and provide the tasks to be executed, here we provided napalm_get
, imported from the nornir_napalm
plugin. It executes the provided napalm getters over all the hosts provided in the inventory and returns the results.
Execute nornir_main.py file and retrieve the results.
python nornir_main.py
Output
napalm_get**********************************************************************
* rt1 ** changed : False *******************************************************
vvvv napalm_get ** changed : False vvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvv INFO
{ 'facts': { 'fqdn': 'pavarotti',
'hostname': 'pavarotti',
'interface_list': [ 'GigabitEthernet0/0/0/0',
'GigabitEthernet0/0/0/1',
'Loopback0',
'MgmtEth0/RP0/CPU0/0',
'Null0'],
'model': 'R-IOSXRV9000-CC',
'os_version': '6.5.3',
'serial_number': 'E3FDA081DAC',
'uptime': 18033322,
'vendor': 'Cisco'}}
^^^^ END napalm_get ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
* rt2 ** changed : False *******************************************************
vvvv napalm_get ** changed : False vvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvv INFO
{ 'facts': { 'fqdn': 'placido.placido.local',
'hostname': 'placido',
'interface_list': [ 'GigabitEthernet1',
'GigabitEthernet2',
'GigabitEthernet3'],
'model': 'CSR1000V',
'os_version': 'Virtual XE Software '
'(X86_64_LINUX_IOSD-UNIVERSALK9-M), Version 16.9.3, '
'RELEASE SOFTWARE (fc2)',
'serial_number': '9NSHRXZD4TZ',
'uptime': 43016280,
'vendor': 'Cisco'}}
^^^^ END napalm_get ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
The output shows the facts (napalm getter) retrieved from the hosts provided in the inventory. For every host the tasks are executed separately by a thread, hence the results are shown per host. It returns a dictionary for each host, with the key being the napalm getter name and value being the result of executing the getter method.
Execute tasks without config file
In this case, you just need to create a host file and nornir main file.
hosts.yaml
# hosts.yaml
---
rt1:
hostname: pavarotti
platform: 'iosxr'
username: admin
password: admin
rt2:
hostname: placido
platform: 'ios'
username: admin
password: admin
If the inventory is not provided while initializing Nornir, It checks for hosts.yaml file with all the information of the hosts, hence all the details of the hosts are provided in a single hosts.yaml file.
nornir_main.py
from nornir import InitNornir
from nornir_utils.plugins.functions import print_result
from nornir_napalm.plugins.tasks import napalm_cli
nr = InitNornir()
results = nr.run(
task=napalm_cli, commands=["show interfaces summary"]
)
print_result(results)
This is the main file where you initialize Nornir with the InitNornir
function and do not provide the configuration file. In the next step, call a run method and provide the tasks to be executed, here we provided napalm_cli
imported from the nornir_napalm
plugin. It executes the provided napalm CLI command over all the hosts provided in the hosts.yaml file and returns the results. As threading information is not provided in InitNornir()
, here num_workers
defaults to 20.
Execute nornir_main.py file and retrieve the results.
python nornir_main.py
Output
napalm_cli**********************************************************************
* rt1 ** changed : False *******************************************************
vvvv napalm_cli ** changed : False vvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvv INFO
{ 'show interfaces summary': 'Interface Type Total UP '
'Down Admin Down\n'
'-------------- ----- -- '
'---- ----------\n'
'ALL TYPES 5 5 '
'0 0 \n'
'-------------- \n'
'IFT_GETHERNET 2 2 '
'0 0 \n'
'IFT_LOOPBACK 1 1 '
'0 0 \n'
'IFT_ETHERNET 1 1 '
'0 0 \n'
'IFT_NULL 1 1 '
'0 0'}
^^^^ END napalm_cli ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
* rt2 ** changed : False *******************************************************
vvvv napalm_cli ** changed : False vvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvv INFO
{ 'show interfaces summary': '*: interface is up\n'
' IHQ: pkts in input hold queue IQD: pkts '
'dropped from input queue\n'
' OHQ: pkts in output hold queue OQD: pkts '
'dropped from output queue\n'
' RXBS: rx rate (bits/sec) RXPS: rx rate '
'(pkts/sec)\n'
' TXBS: tx rate (bits/sec) TXPS: tx rate '
'(pkts/sec)\n'
' TRTL: throttle count\n'
'\n'
' Interface IHQ '
'IQD OHQ OQD RXBS RXPS '
'TXBS TXPS TRTL\n'
'-----------------------------------------------------------------------------------------------------------------\n'
'* GigabitEthernet1 0 '
'0 0 0 0 '
'0 0 0 0\n'
' GigabitEthernet2 0 '
'0 0 0 0 '
'0 0 0 0\n'
' GigabitEthernet3 0 '
'0 0 0 0 '
'0 0 0 0'}
^^^^ END napalm_cli ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
The output shows the "interfaces summary" retrieved from the hosts provided in the hosts.yaml file. For every host the tasks are executed separately by a thread, hence the results are shown per host. It returns a dictionary for each host, with the key being the CLI command and value being the result of executing the CLI command.
Execute multiple napalm tasks
nornir_main.py
#!/usr/bin/env python3
from nornir import InitNornir
from nornir_utils.plugins.functions import print_result
from nornir_napalm.plugins.tasks import napalm_get, napalm_cli, napalm_configure
from nornir.core.task import Task
nr = InitNornir(
config_file="config.yaml", dry_run=True
)
def multiple_tasks(task: Task):
task.run(
task=napalm_cli, commands=["show interfaces brief"]
)
task.run(
task=napalm_configure, dry_run=False, configuration="interface loopback 1000"
)
task.run(
task=napalm_get, getters=["interfaces"]
)
results = nr.run(
task=multiple_tasks
)
print_result(results)
This is the main file where we initialize Nornir with the InitNornir
function and provide the configuration file. In the next step, create a method(multiple_tasks
) with Task object as its argument and provide the multiple tasks to be executed. Here we are calling a run
method of Task
object and providing the tasks (napalm_cli
, napalm_configure
, napalm_get
) which retrieves results of show interfaces brief
, configures interface loopback 1000
, and retrieves interfaces. Then call a run method of nornir and provide the task to be executed, here we provided multiple_tasks
which has different tasks in it. It executes the tasks over all the hosts provided in the inventory and returns the results.
Execute nornir_main.py file and retrieve the results.
./nornir_main.py
Output
multiple_tasks******************************************************************
* rt1 ** changed : True ********************************************************
vvvv multiple_tasks ** changed : False vvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvv INFO
---- napalm_cli ** changed : False --------------------------------------------- INFO
{ 'show interfaces brief': 'Intf Intf LineP Encap '
'MTU BW\n'
' Name State '
'State Type (byte) (Kbps)\n'
'--------------------------------------------------------------------------------\n'
' Lo0 up '
'up Loopback 1500 0\n'
' Mg0/RP0/CPU0/0 up '
'up ARPA 1514 1000000\n'}
---- napalm_configure ** changed : True ---------------------------------------- INFO
---
+++
@@ -66,6 +66,8 @@
interface Loopback0
description PRIMARY ROUTER
+!
+interface Loopback1000
!
interface MgmtEth0/RP0/CPU0/0
description *** MANAGEMENT INTERFACE ***
---- napalm_get ** changed : False --------------------------------------------- INFO
{ 'interfaces': { 'Loopback0': { 'description': 'PRIMARY ROUTER ',
'is_enabled': True,
'is_up': True,
'last_flapped': -1.0,
'mac_address': '',
'mtu': 1500,
'speed': 0},
'Loopback1000': { 'description': '',
'is_enabled': True,
'is_up': True,
'last_flapped': -1.0,
'mac_address': '',
'mtu': 1500,
'speed': 0},
'MgmtEth0/RP0/CPU0/0': { 'description': '*** MANAGEMENT '
'INTERFACE ***',
'is_enabled': True,
'is_up': True,
'last_flapped': -1.0,
'mac_address': '52:54:00:A4:14:09',
'mtu': 1514,
'speed': 1000}}}
^^^^ END multiple_tasks ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
* rt2 ** changed : True ********************************************************
vvvv multiple_tasks ** changed : False vvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvv INFO
---- napalm_cli ** changed : False --------------------------------------------- INFO
{ 'show interfaces brief': 'Intf Intf LineP Encap '
'MTU BW\n'
' Name State '
'State Type (byte) (Kbps)\n'
'--------------------------------------------------------------------------------\n
' Lo10 up '
'up Loopback 1500 0\n'
' Mg0/RP0/CPU0/0 up '
'up ARPA 1514 0\n'}
---- napalm_configure ** changed : True ---------------------------------------- INFO
---
+++
@@ -61,6 +61,8 @@
!
interface Loopback10
description LOOPBACK 10
+!
+interface Loopback1000
!
interface MgmtEth0/RP0/CPU0/0
description *** MANAGEMENT INTERFACE ***
---- napalm_get ** changed : False --------------------------------------------- INFO
{ 'interfaces': { 'Loopback10': { 'description': 'LOOPBACK 10',
'is_enabled': True,
'is_up': True,
'last_flapped': -1.0,
'mac_address': '',
'mtu': 1500,
'speed': 0},
'Loopback1000': { 'description': '',
'is_enabled': True,
'is_up': True,
'last_flapped': -1.0,
'mac_address': '',
'mtu': 1500,
'speed': 0},
'MgmtEth0/RP0/CPU0/0': { 'description': '*** MANAGEMENT '
'INTERFACE ***',
'is_enabled': True,
'is_up': True,
'last_flapped': -1.0,
'mac_address': '52:54:00:DE:B5:58',
'mtu': 1514,
'speed': 0}}}
^^^^ END multiple_tasks ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
The output shows the result of show interfaces brief
, does the configuration of adding interface loopback 1000
and shows the configuration changes before commiting it, then it retrieves interfaces information from the napalm interfaces getter method. These 3 tasks are executed on all the hosts provided in the hosts.yaml file. For every host the tasks are executed separately by a thread, hence the results are shown per host.
Execute multiple napalm tasks on the selected hosts from the inventory, using the filter.
#!/usr/bin/env python3
from nornir import InitNornir
from nornir_utils.plugins.functions import print_result
from nornir_napalm.plugins.tasks import napalm_get, napalm_cli, napalm_configure
from nornir.core.task import Task
nr = InitNornir(
config_file="config.yaml", dry_run=True
)
rt1 = nr.filter(name="rt1")
def multiple_tasks(task: Task):
task.run(
task=napalm_cli, commands=["show interfaces brief"]
)
task.run(
task=napalm_configure, dry_run=False, configuration="interface loopback 1000"
)
task.run(
task=napalm_get, getters=["interfaces"]
)
results = rt1.run(
task=multiple_tasks
)
print_result(results)
This is same as Example 3, the only difference is, we are applying filter to the nornir object so that it executes all the tasks on a specific host of the inventory that is provided in the filter.
Execute nornir_main.py file and retrieve the results.
./nornir_main.py
Output
multiple_tasks******************************************************************
* rt1 ** changed : True ********************************************************
vvvv multiple_tasks ** changed : False vvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvv INFO
---- napalm_cli ** changed : False --------------------------------------------- INFO
{ 'show interfaces brief': 'Intf Intf LineP Encap '
'MTU BW\n'
' Name State '
'State Type (byte) (Kbps)\n'
'--------------------------------------------------------------------------------\n'
' Lo0 up '
'up Loopback 1500 0\n'
' Mg0/RP0/CPU0/0 up '
'up ARPA 1514 1000000\n'}
---- napalm_configure ** changed : True ---------------------------------------- INFO
---
+++
@@ -66,6 +66,8 @@
interface Loopback0
description PRIMARY ROUTER
+!
+interface Loopback1000
!
interface MgmtEth0/RP0/CPU0/0
description *** MANAGEMENT INTERFACE ***
---- napalm_get ** changed : False --------------------------------------------- INFO
{ 'interfaces': { 'Loopback0': { 'description': 'PRIMARY ROUTER ',
'is_enabled': True,
'is_up': True,
'last_flapped': -1.0,
'mac_address': '',
'mtu': 1500,
'speed': 0},
'Loopback1000': { 'description': '',
'is_enabled': True,
'is_up': True,
'last_flapped': -1.0,
'mac_address': '',
'mtu': 1500,
'speed': 0},
'MgmtEth0/RP0/CPU0/0': { 'description': '*** MANAGEMENT '
'INTERFACE ***',
'is_enabled': True,
'is_up': True,
'last_flapped': -1.0,
'mac_address': '52:54:00:A4:14:09',
'mtu': 1514,
'speed': 1000}}}
^^^^ END multiple_tasks ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Though there are 2 hosts available in the inventory, the output shows the result of executed tasks on only one host i.e. rt1
, as we have added a filter to do so.
Nornir is a python based multi-threaded network automation framework that provides a way to automate your network tasks efficiently. Being an open-sourced project written in python makes it easy for the user to debug and troubleshoot. Above all, it's time-efficient, free, and easy to use. Write simple lines of python code to execute your network tasks on a lot of your network devices quickly!!