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NAPALM YANG state
=================
Manage the configuration of network devices according to
the YANG models (OpenConfig/IETF).
.. versionadded:: 2017.7.0
Dependencies
------------
- napalm-yang
- pyangbing > 0.5.11
To be able to load configuration on network devices,
it requires NAPALM_ library to be installed: ``pip install napalm``.
Please check Installation_ for complete details.
.. _NAPALM: https://napalm.readthedocs.io
.. _Installation: https://napalm.readthedocs.io/en/latest/installation.html
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NAPALM library must be installed for this module to work and run in a (proxy) minion.
This module in particular requires also napalm-yang.
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Manage the device configuration given the input data structured
according to the YANG models.
data
YANG structured data.
models
A list of models to be used when generating the config.
profiles: ``None``
Use certain profiles to generate the config.
If not specified, will use the platform default profile(s).
compliance_report: ``False``
Return the compliance report in the comment.
.. versionadded:: 2017.7.3
test: ``False``
Dry run? If set as ``True``, will apply the config, discard
and return the changes. Default: ``False`` and will commit
the changes on the device.
commit: ``True``
Commit? Default: ``True``.
debug: ``False``
Debug mode. Will insert a new key under the output dictionary,
as ``loaded_config`` containing the raw configuration loaded on the device.
replace: ``False``
Should replace the config with the new generate one?
State SLS example:
.. code-block:: jinja
{%- set expected_config = pillar.get('openconfig_interfaces_cfg') -%}
interfaces_config:
napalm_yang.managed:
- data: {{ expected_config | json }}
- models:
- models.openconfig_interfaces
- debug: true
Pillar example:
.. code-block:: yaml
openconfig_interfaces_cfg:
_kwargs:
filter: true
interfaces:
interface:
Et1:
config:
mtu: 9000
Et2:
config:
description: "description example"
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$$$$$
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Configure the network device, given the input data strucuted
according to the YANG models.
.. note::
The main difference between this function and ``managed``
is that the later generates and loads the configuration
only when there are differences between the existing
configuration on the device and the expected
configuration. Depending on the platform and hardware
capabilities, one could be more optimal than the other.
Additionally, the output of the ``managed`` is different,
in such a way that the ``pchange`` field in the output
contains structured data, rather than text.
data
YANG structured data.
models
A list of models to be used when generating the config.
profiles: ``None``
Use certain profiles to generate the config.
If not specified, will use the platform default profile(s).
test: ``False``
Dry run? If set as ``True``, will apply the config, discard
and return the changes. Default: ``False`` and will commit
the changes on the device.
commit: ``True``
Commit? Default: ``True``.
debug: ``False``
Debug mode. Will insert a new key under the output dictionary,
as ``loaded_config`` containing the raw configuration loaded on the device.
replace: ``False``
Should replace the config with the new generate one?
State SLS example:
.. code-block:: jinja
{%- set expected_config = pillar.get('openconfig_interfaces_cfg') -%}
interfaces_config:
napalm_yang.configured:
- data: {{ expected_config | json }}
- models:
- models.openconfig_interfaces
- debug: true
Pillar example:
.. code-block:: yaml
openconfig_interfaces_cfg:
_kwargs:
filter: true
interfaces:
interface:
Et1:
config:
mtu: 9000
Et2:
config:
description: "description example"
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