ipfabric 6.10.3

Python package for interacting with IP Fabric

IP Fabric

IPFabric is a Python module for connecting to and communicating against an IP Fabric instance.

For full documentation please see IP Fabric Documentation Portal.

IP Fabric

IP Fabric is a vendor-neutral network assurance platform that automates the holistic discovery, verification, visualization, and documentation of large-scale enterprise networks, reducing the associated costs and required resources whilst improving security and efficiency.

It supports your engineering and operations teams, underpinning migration and transformation projects. IP Fabric will revolutionize how you approach network visibility and assurance, security assurance, automation, multi-cloud networking, and trouble resolution.

Integrations or scripts should not be installed directly on the IP Fabric VM unless directly communicated from the IP Fabric Support or Solution Architect teams. Any action on the Command-Line Interface (CLI) using the root, osadmin, or autoboss account may cause irreversible, detrimental changes to the product and can render the system unusable.

IP Fabric v7.0 Major Release Notice

IP Fabric 6.10 will be the last release before 7.0. Major Releases will have breaking changes that will need to be tested including in the SDK. Please be prepared for this prior to upgrading your IP Fabric instance to 7.0.

Bugs

A bug has been identified when ~2,000 requests are being made to the API. The underlining issue seems to be with the implementation of http2. The workaround is to set http2=False in the IPFClient class. Example error:

httpx.RemoteProtocolError: <ConnectionTerminated error_code:ErrorCodes.NO_ERROR, last_stream_id:1999, additional_data:None>

Upcoming Deprecation Notices

In ipfabric>=v6.9.0 the following was changed/deprecated:

• IPFDiagram will be removed as it is now located in IPFClient().diagram, the following will be changed:
  • IPFDiagram().diagram_model() -> IPFClient().diagram.model()
  • IPFDiagram().diagram_json() -> IPFClient().diagram.json()
  • IPFDiagram().diagram_svg() -> IPFClient().diagram.svg() -IPFDiagram().diagram_png() -> IPFClient().diagram.png()
• Methods found in ipfabric.models.Snapshot class will no longer accept the IPFClient argument being passed.
  • Example: ipf.snapshot.lock(ipf) -> ipf.snapshot.lock()

In ipfabric>=v7.1.x Python 3.8 will be removed as a supported version as it is now End of Life as of 2024-10-07.

In ipfabric>=v7.0.x (Next Release after 6.10) the following will be changed/deprecated:

• All classes including IPFClient() will switch to keyword only arguments to support Pydantic BaseModel.
  • IPFClient('https//url') -> IPFClient(base_url='https//url')
• IPFClient().intent.intent_by_name() will be removed and is replaced by IPFClient().intent.intents_by_name()
• The following endpoints were moved and the old methods will be removed:
  • Technology.LoadBalancing.virtual_servers_f5_partitions -> Technology.LoadBalancing.partitions
  • Technology.Sdwan.sites -> Technology.Sdwan.versa_sites
  • Technology.Sdwan.links -> Technology.Sdwan.versa_links

Versioning

Semantic Versioning: Major.Minor.Patch

Starting with IP Fabric version 5.0.x the ipfabric SDK is recommended to match your IP Fabric major and minor version.
We will try to keep some backwards compatability (SDK version 6.9.x should work with IP Fabric API 6.8) however new features may break some functionality. By ensuring that your ipfabric SDK's match your IP Fabric major and minor
version will ensure compatibility and will continue to work.

The Patch version of the SDK is used for bug fixes and new features that are compatible with the major and minor version.

Defaulted to Streaming Data

See Notices for full information.

• GET URL is limited to 4096 characters.
  • Complex queries and filters could go over this limit; however in testing it was very difficult to reach this.
• CSV Export
  • Only supported with a streaming GET request and return a bytes string of data in the Python SDK.
  • It will also convert times to human-readable format.
  • reports (returning Intent Check data) is not supported with CSV export, however is required when filtering based on Intents (colors).

from ipfabric import IPFClient
ipf = IPFClient(streaming=True)

dev = ipf.inventory.devices.all()
print(type(dev))  # list 

dev_csv = ipf.fetch_all('tables/inventory/devices', export='csv')
print(type(dev_csv))  # bytes 

# Timezone can be changed for CSV export; see `ipfabric.tools.shared.TIMEZONES`
dev_csv_tz = ipf.inventory.devices.all(export='csv', csv_tz='UTC')

# If specifying to return reports and CSV request will drop reports input and use GET
dev_csv_reports = ipf.fetch_all('tables/inventory/devices', reports=True, export='csv')
"""CSV export does not return reports, parameter has been excluded."""
print(type(dev_csv_reports))  # bytes

# If URL exceeds 4096 characters the following exception will be raised:
# raise InvalidURL(f"URL exceeds max character limit of 4096: length={len(url)}.")

Installation

pip install ipfabric

To use export='df' on some methods please install pandas with ipfabric

pip install ipfabric[pd]

Introduction

Please take a look at API Programmability - Part 1: The Basics for instructions on creating an API token.

Most of the methods and features can be located in Examples to show how to use this package. Another great introduction to this package can be found at API Programmability - Part 2: Python

Authentication

Username/Password

Supply in client:

from ipfabric import IPFClient
ipf = IPFClient('https://demo3.ipfabric.io/', auth=('user', 'pass'))

Token

from ipfabric import IPFClient
ipf = IPFClient('https://demo3.ipfabric.io/', auth='token')

Environment

The easiest way to use this package is with a .env file. You can copy the sample and edit it with your environment variables.

cp sample.env .env

This contains the following variables which can also be set as environment variables instead of a .env file.

IPF_URL="https://demo3.ipfabric.io"
IPF_TOKEN=TOKEN
IPF_VERIFY=true

Or if using Username/Password:

IPF_URL="https://demo3.ipfabric.io"
IPF_USERNAME=USER
IPF_PASSWORD=PASS

Development

Poetry Installation

IPFabric uses Poetry to make setting up a virtual environment with all dependencies installed quick and easy.

Install poetry globally:

pip install poetry

To install a virtual environment run the following command in the root of this directory.

poetry install

To run examples, install extras:

poetry install ipfabric -E examples

Test and Build

poetry run pytest
poetry build

Prior to pushing changes run:

poetry run black ipfabric
poetry update