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Nutanix Aiops Versioned APIs

Project description

Python Client For Nutanix Aiops Versioned APIs

The Python client for Nutanix Aiops Versioned APIs is designed for Python client application developers offering them simple and flexible access to APIs that manage infrastructure on-premises and in the cloud seamlessly through AIOps features such as Analysis, Reporting, Capacity Planning, What if Analysis, VM Rightsizing, Troubleshooting, App Discovery, Broad Observability, and Ops Automation through Playbooks.

Features

  • Invoke Nutanix APIs with a simple interface.
  • Handle Authentication seamlessly.
  • Reduce boilerplate code implementation.
  • Use standard methods for installation.

Version

  • API version: v4.0.a2
  • Package version: 4.0.3a2

Requirements.

Python 3.6, 3.7, and 3.8 are fully supported and tested.

Installation & Usage

Installing in a virtual environment

virtualenv is a tool to create isolated Python environments. The basic problem it addresses is one of dependencies and versions, and indirectly permissions. virtualenv can help you install this client without needing system install permissions. It creates an environment that has its own installation directories without sharing libraries with other virtualenv environments or the system installation.

Mac/Linux

To install virtualenv via pip run:

$ pip3 install virtualenv

Create the virtualenv and activate it

$ virtualenv -p python3 <my-env>
$ source <my-env>/bin/activate

Install the Nutanix client into the virtualenv

<my-env>/bin/pip install ntnx-aiops-py-client

Windows

To install virtualenv via pip run:

> pip install virtualenv

Create the virtualenv and activate it

> virtualenv <my-env>
> myenv\Scripts\activate

Install the Nutanix SDK into the virtualenv

<your-env>\Scripts\pip.exe install ntnx-aiops-py-client

Then import the package:

import ntnx_aiops_py_client

Getting Started

Configuration

The python client for Nutanix Aiops Versioned APIs can be configured with the following parameters

Parameter Description Required Default Value
scheme URI scheme for connecting to the cluster (HTTP or HTTPS using SSL/TLS) No https
host IPv4/IPv6 address or FQDN of the cluster to which the client will connect to Yes N/A
port Port on the cluster to which the client will connect to No 9440
username Username to connect to a cluster Yes N/A
password Password to connect to a cluster Yes N/A
debug Runs the client in debug mode if specified No False
verify_ssl Verify SSL certificate of cluster the client will connect to No True
max_retry_attempts Maximum number of retry attempts while connecting to the cluster No 5
backoff_factor A backoff factor to apply between attempts after the second try. No 3
logger_file File location to which debug logs are written to No N/A
connect_timeout Connection timeout in milliseconds for all operations No 30000
read_timeout Read timeout in milliseconds for all operations No 30000

Sample Configuration

config = Configuration()
config.host = '10.19.50.27' # IPv4/IPv6 address or FQDN of the cluster
config.port = 9440 # Port to which to connect to
config.username = 'admin' # UserName to connect to the cluster
config.password = 'password' # Password to connect to the cluster
api_client = ApiClient(configuration=config)

Proxy Configuration

config = Configuration()
# Configure the cluster as shown above
# ...
config.proxy_scheme = "https"
config.proxy_host = "127.0.0.1"
config.proxy_port = 8080
config.proxy_username = "proxy_admin"
config.proxy_password = "proxy_password"
api_client = ApiClient(configuration=config)

Authentication

Nutanix APIs currently support HTTP Basic Authentication only, and the Python client can be configured using the username and password parameters to send Basic headers along with every request.

Additional Headers

The python client can be configured to send additional headers on each request.

client = ApiClient(configuration=config)
client.add_default_header(header_name='Accept-Encoding', header_value='gzip, deflate, br')

Retry Mechanism

The python client can be configured to retry requests that fail with the following status codes. The numbers of seconds before which the next retry is attempted is determined using the following formula:

{backoff factor} * (2 * ({number of retries so far} - 1))

config = Configuration()
config.max_retry_attempts = 3 # Max retry attempts while reconnecting on a loss of connection
config.backoff_factor = 3 # Backoff factor to use during retry attempts
client = ApiClient(configuration=config)

Usage

Invoking an operation

# Initialize the API
# The following sample code is an example and does not reflect the real APIs provided by this client.
api_instance = SampleApi(api_client=client) # client configured in previous step
extId = 'extId_example' # UUID.

# Get sample entity by id
try:
    api_response = api_instance.get_sample_entity_by_id(extId)
except ApiException as e:

Setting headers for individual operations

Headers can be configured globally on the python client using the method to set default headers. However, sometimes headers need to be set on an individual operation basis. Nutanix APIs require that concurrent updates are protected using ETag headers.

# Initialize the API

# The following sample code is an example and does not reflect the real APIs provided by this client.
api_instance = SampleApi(api_client=client) # client configured in previous step
extId = 'extId_example' # UUID.

# Get sample entity by id
try:
    api_response = api_instance.get_sample_entity_by_id(extId)
except ApiException as e:

# Extract E-Tag Header
etag_value = ApiClient.get_etag(api_response)

# The following sample code is an example and does not reflect the real APIs provided by this client.
# Update sample entity
try:
    # The body parameter in the following operation is received from the previous GET request's response which needs to be updated.
    api_response = api_instance.update_sample_entity_by_id(body, extId, if_match=etag_value) # Use the extracted etag value
except ApiException as e:

List Operations

List Operations for Nutanix APIs support pagination, filtering, sorting and projections. The table below details the parameters that can be used to set the options for pagination etc.

Parameter Description
_page specifies the page number of the result set. Must be a positive integer between 0 and the maximum number of pages that are available for that resource. Any number out of this range will lead to no results being returned.
_limit specifies the total number of records returned in the result set. Must be a positive integer between 0 and 100. Any number out of this range will lead to a validation error. If the limit is not provided a default value of 50 records will be returned in the result set
_filter allows clients to filter a collection of resources. The expression specified with $filter is evaluated for each resource in the collection, and only items where the expression evaluates to true are included in the response. Expression specified with the $filter must conform to the OData V4.01 URL conventions.
_orderby allows clients to specify the sort criteria for the returned list of objects. Resources can be sorted in ascending order using asc or descending order using desc. If asc or desc are not specified the resources will be sorted in ascending order by default. For example, 'orderby=templateName desc' would get all templates sorted by templateName in desc order.
_select allows clients to request a specific set of properties for each entity or complex type. Expression specified with the $select must conform to the OData V4.01 URL conventions. If a $select expression consists of a single select item that is an asterisk (i.e. *), then all properties on the matching resource will be returned.
_expand allows clients to request related resources when a resource that satisfies a particular request is retrieved. Each expand item is evaluated relative to the entity containing the property being expanded. Other query options can be applied to an expanded property by appending a semicolon-separated list of query options, enclosed in parentheses, to the property name. Allowed system query options are $filter,$select, $orderby.
# Initialize the API
stats_api_instance = StatsApi(api_client=client) # client configured in previous step
extId = 'extId_example' # UUID.

# Returns a list of various attributes and metrics (time series data) that are available for a given entity type.
try:
    api_response = stats_api_instance.get_entity_metrics_v4(
	                   _page=page, # if page parameter is present
	                   _limit=limit, # if limit parameter is present
	                   _filter=_filter, # if filter parameter is present
	                   _orderby=_orderby, # if orderby parameter is present
	                   _select=select, # if select parameter is present
	                   _expand=expand) # if expand parameter is present
except ApiException as e:

The list of filterable and sortable fields with expansion keys can be found in the documentation here.

API Reference

This library has a full set of API Reference Documentation. This documentation is auto-generated, and the location may change.

License

This library is licensed under Nutanix proprietary license. Full license text is available in LICENSE.

Contact us

In case of issues please reach out to us at the mailing list

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