nbforager 0.2.6

Python package designed to assist in working with the Netbox REST API. The filter parameters are identical to those in the Web UI filter form. It replaces brief data with full information, and Netbox objects are represented as a recursive multidimensional dictionary.

nbforager

Overview

Python package designed to help work with the Netbox REST API.

• NbApi Request data from Netbox using filter parameters identical to those in the Web UI filter form. Filter parameters use the OR operator.

• NbForager The REST API returns objects that contain a brief representation of related objects. NbForager replaces brief data with full and objects look like a recursive multidimensional dictionary.

• NbParser Extract typed values from a Netbox object dictionary by using a chain of keys.

Checked with Python >= 3.8, Netbox >= v3.6. Fully documented on Read the Docs.

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Quickstart

Install the package from pypi.org

pip install nbforager

or from github.com repository

pip install git+https://github.com/vladimirs-git/nbforager

NbForager demonstration. Assemble Netbox objects within self as a multidimensional dictionary.

Request the main object. All nested objects also are requested. Assemble multidimensional dictionary.

from pprint import pprint

from nbforager import NbForager

HOST = "demo.netbox.dev"
TOKEN = "1234567890123456789012345678901234567890"
nbf = NbForager(host=HOST, token=TOKEN, threads=10)

# Request devices with all nested object: device-roles, tenants, tags, etc.
nbf.dcim.devices.get(nested=True)
print(f"{len(nbf.root.dcim.devices)=}")
print(f"{len(nbf.root.dcim.device_roles)=}")
print(f"{len(nbf.root.tenancy.tenants)=}")
print(f"{len(nbf.root.extras.tags)=}")
# len(nbf.root.dcim.devices)=78
# len(nbf.root.dcim.device_roles)=10
# len(nbf.root.tenancy.tenants)=5
# len(nbf.root.extras.tags)=2


# Assemble objects within self as multidimensional dictionary.
tree = nbf.join_tree()
pprint(list(tree.dcim.devices.values())[0])
# {"id": 1,
#  "name": "dmi01-akron-rtr01",
#  "rack": {"id": 1,
#           "site": {"id": 2,
#                    "tenant": {"id": 5,
#                               "group": {"id": 1,
#                                         "name": "Customers",
#                                         ...
#           "tenant": {"id": 5,
#                      "group": {"id": 1,
#                                "name": "Customers",
#                                ...
# ...

Request objects using filtering parameters. Assemble multidimensional dictionary.

from pprint import pprint

from nbforager import NbForager, NbParser

HOST = "demo.netbox.dev"
TOKEN = "1234567890123456789012345678901234567890"
nbf = NbForager(host=HOST, token=TOKEN)

# Request specific devices and all sites from Netbox.
# Note that the site in the device only contains basic data and
# does not include tags, region and other extended data.
nbf.dcim.devices.get(q="PP:B")
nbf.dcim.sites.get()
device = nbf.root.dcim.devices[88]
pprint(device)
# {"id": 88,
#  "name": "PP:B117",
#  "site": {"display": "MDF",
#           "id": 21,
#           "name": "MDF",
#           "slug": "ncsu-065",
#           "url": "https://demo.netbox.dev/api/dcim/sites/21/"},
#  ...

# Assemble objects within self as multidimensional dictionary.
# Note that the device now includes site region and all other data.
tree = nbf.join_tree()
device = tree.dcim.devices[88]
pprint(device)
# {"id": 88,
#  "name": "PP:B117",
#  "site": {"display": "MDF",
#           "id": 21,
#           "name": "MDF",
#           "slug": "ncsu-065",
#           "url": "https://demo.netbox.dev/api/dcim/sites/21/"
#           "region": {"_depth": 2,
#                      "display": "North Carolina",
#                      "id": 40,
#                      "name": "North Carolina",
#                      "slug": "us-nc",
#                      "url": "https://demo.netbox.dev/api/dcim/regions/40/"},
#           "tenant": {"display": "NC State University",
#                      "id": 13,
#                      "name": "NC State University",
#                      "slug": "nc-state",
#                      "url": "https://demo.netbox.dev/api/tenancy/tenants/13/"},
#           ...
# ...

# Access site attribute through a device.
region = device["site"]["region"]["name"]
print(f"{region=}")  # region="North Carolina"

# Use NbParser to ensure the data type if any dictionary in the chain is missing.
region = NbParser(device).str("site", "region", "name")
print(f"{region=}")  # region="North Carolina"

NbApi demonstration. Create, get, update and delete ip-addresses.

from nbforager import NbApi

HOST = "demo.netbox.dev"
TOKEN = "1234567890123456789012345678901234567890"
nb = NbApi(host=HOST, token=TOKEN)

# Create 2 addresses with different methods (different outputs)
response = nb.ipam.ip_addresses.create(address="1.2.3.4/24", tags=[2], status="active")
print(response)  # <Response [201]>
data = nb.ipam.ip_addresses.create_d(address="1.2.3.4/24", tags=[3], status="reserved")
print(data)  # {"id": 183, "display": "1.2.3.4/24", ...

# Get all addresses
addresses = nb.ipam.ip_addresses.get()
print(len(addresses))  # 181

# Get all ip-addresses in global routing
addresses = nb.ipam.ip_addresses.get(vrf="null")
print(len(addresses))  # 30

# Get newly created ip-addresses by complex filter
# Note, you can use parameters similarly to the ``OR`` operator.
# Filter addresses in the global routing AND
# (have either the tag "bravo" OR "charlie") AND
# (have a status of either active OR reserved).
addresses = nb.ipam.ip_addresses.get(or_q=["1.2.3", "4.5.6"],
                                     vrf="null",
                                     or_tag=["bravo", "charlie"],
                                     status=["active", "reserved"])
print(len(addresses))  # 2

addresses = nb.ipam.ip_addresses.get(address="1.2.3.4/24")
for address in addresses:
    # Update
    id_ = address["id"]
    response = nb.ipam.ip_addresses.update(id=id_, description="text")
    print(response)  # <Response [200]>
    print(nb.ipam.ip_addresses.get(id=id_)[0]["description"])  # text

    # Delete
    response = nb.ipam.ip_addresses.delete(id=id_)
    print(response)  # <Response [204]>

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