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dnacentersdk

Work with the DNA Center APIs in native Python!


dnacentersdk is a community developed Python library for working with the DNA Center APIs. Our goal is to make working with DNA Center in Python a native and natural experience!

from dnacentersdk import api

# Create a DNACenterAPI connection object;
# it uses DNA Center sandbox URL, username and password, with DNA Center API version 2.3.5.3.
# and requests to verify the server's TLS certificate with verify=True.
dnac = api.DNACenterAPI(username="devnetuser",
                        password="Cisco123!",
                        base_url="https://sandboxdnac.cisco.com:443",
                        version='2.3.7.6',
                        verify=True)

# Find all devices that have 'Switches and Hubs' in their family
devices = dnac.devices.get_device_list(family='Switches and Hubs')

# Print all of demo devices
for device in devices.response:
    print('{:20s}{}'.format(device.hostname, device.upTime))

# Find all tags
all_tags = dnac.tag.get_tag(sort_by='name', order='des')
demo_tags = [tag for tag in all_tags.response if 'Demo' in tag.name ]

#  Delete all of the demo tags
for tag in demo_tags:
    dnac.tag.delete_tag(tag.id)

# Create a new demo tag
demo_tag = dnac.tag.create_tag(name='dna Demo')
task_demo_tag = dnac.task.get_task_by_id(task_id=demo_tag.response.taskId)

if not task_demo_tag.response.isError:
    # Retrieve created tag
    created_tag = dnac.tag.get_tag(name='dna Demo')

    # Update tag
    update_tag = dnac.tag.update_tag(id=created_tag.response[0].id,
                                     name='Updated ' + created_tag.response[0].name,
                                     description='DNA demo tag')

    print(dnac.task.get_task_by_id(task_id=update_tag.response.taskId).response.progress)

    # Retrieved updated
    updated_tag = dnac.tag.get_tag(name='Updated dna Demo')
    print(updated_tag)
else:
    # Get task error details
    print('Unfortunately ', task_demo_tag.response.progress)
    print('Reason: ', task_demo_tag.response.failureReason)

# Advance usage example using Custom Caller functions
# Define the get_global_credentials and create_netconf_credentials functions
# under the custom_caller wrapper.
# Call them with:
#     dnac.custom_caller.get_global_credentials('NETCONF')
#     dnac.custom_caller.create_netconf_credentials('65533')
def setup_custom():
    dnac.custom_caller.add_api('get_global_credentials',
                            lambda credential_type:
                                dnac.custom_caller.call_api(
                                    'GET',
                                    '/dna/intent/api/v1/global-credential',
                                    params={
                                        'credentialSubType': credential_type
                                    }).response
                            )
    dnac.custom_caller.add_api('create_netconf_credentials',
                            lambda port:
                                dnac.custom_caller.call_api(
                                    'POST',
                                    '/dna/intent/api/v1/global-credential/netconf',
                                    json=[{
                                        "netconfPort": port
                                    }])
                            )

# Add the custom API calls to the connection object under the custom_caller wrapper
setup_custom()
# Call the newly added functions
dnac.custom_caller.create_netconf_credentials('65533')
print(dnac.custom_caller.get_global_credentials('NETCONF'))

Introduction

Check out the complete Introduction

dnacentersdk handles all of this for you:

  • Reads your DNA Center credentials from environment variables.
  • Reads your DNA Center API version from environment variable DNA_CENTER_VERSION.
  • Controls whether to verify the server's TLS certificate or not according to the verify parameter.
  • Reads your DNA Center debug from environment variable DNA_CENTER_DEBUG. Boolean.
  • Wraps and represents all DNA Center API calls as a simple hierarchical tree of native-Python methods
  • If your Python IDE supports auto-completion (like PyCharm_), you can navigate the available methods and object attributes right within your IDE
  • Represents all returned JSON objects as native Python objects - you can access all of the object's attributes using native dot.syntax
  • Automatic Rate-Limit Handling Sending a lot of requests to DNA Center? Don't worry; we have you covered. DNA Center will respond with a rate-limit response, which will automatically be caught and "handled" for you.
  • Refresh token Each time the token becomes invalid, the SDK will generate a new valid token for you.

Installation

Installing and upgrading dnacentersdk is easy:

Install via PIP

$ pip install dnacentersdk

Upgrading to the latest Version

$ pip install dnacentersdk --upgrade

Compatibility matrix

The following table shows the supported versions.

Cisco DNA Center version Python "dnacentersdk" version
2.2.2.3 2.3.3
2.2.3.3 2.4.11
2.3.3.0 2.5.6
2.3.5.3 2.6.11
2.3.7.6 2.7.6

If your SDK is older please consider updating it first.

Documentation

Excellent documentation is now available at: https://dnacentersdk.readthedocs.io

Check out the Quickstart to dive in and begin using dnacentersdk.

Release Notes

Please see the releases page for release notes on the incremental functionality and bug fixes incorporated into the published releases.

Questions, Support & Discussion

dnacentersdk is a community developed and community supported project. If you experience any issues using this package, please report them using the issues page.

Contribution

dnacentersdk is a community development projects. Feedback, thoughts, ideas, and code contributions are welcome! Please see the Contributing guide for more information.

Inspiration

This library is inspired by the webexteamssdk library

Changelog

All notable changes to this project will be documented in the CHANGELOG file.

The development team may make additional name changes as the library evolves with the Cisco DNA Center APIs.

Copyright (c) 2019-2021 Cisco Systems.