Skip to main content

j2ipaddr

Jinja2 filters for IP addresses, the easy way

Why

On networking and network automation, we need to extract info about IP addresses as a combination of two values:

  • a host address
  • a subnet mask

For 10.10.10.5/24, the host address is 10.10.10.5 and the subnet mask is 255.255.255.0, and its prefix length is 24.

There is additional information we can infer from this single item, as its network address, broadcast address.

Useful data for network engineers are wildcards or hostmasks, network size, class, type, and so on.

Jinja2 provides several integrated filters to work with, however it can be complicated to use complex data types.

Ansible provides a way to work this on its ansible.utils.ipaddr collection.

However, probably you won't need the entire Ansible package just to be able to use it.

This package intends to provide a set of filters and handler to the Python 3 netaddr module, on a way that is hopefully easy and lightweight to use.

What

Included filters are the following:

ip_address(addr)

Returns an IP address for a combination of IP address and subnet mask

ip_address('10.10.10.5/24')
> 10.10.10.5
{{ '10.10.10.5/24 | ip_address }}
> 10.10.10.5

ip_prefixlen(addr)

Returns a prefix length for a combination of IP address and subnet mask

ip_prefixlen('10.10.10.5/24')
> 24
{{ '10.10.10.5/24 | ip_prefixlen }}
> 24

ip_netmask(addr)

Returns a subnet mask for a combination of IP address and subnet mask

ip_netmask('10.10.10.5/24')
> 255.255.255.0
{{ '10.10.10.5/24 | ip_netmask }}
> 255.255.255.0

ip_hostmask(addr)

Returns a wilcard or hostmask for a combination of IP address and subnet mask

ip_hostmask('10.10.10.5/24')
> 0.0.0.255
{{ '10.10.10.5/24 | ip_hostmask }}
> 0.0.0.255

ip_wildcard(addr)

Alias for ip_hostmask(addr)

ip_wildcard('10.10.10.5/24')
> 0.0.0.255
{{ '10.10.10.5/24 | ip_wildcard }}
> 0.0.0.255

ip_network(addr)

Returns a network address for a combination of IP address and subnet mask

ip_network('10.10.10.5/24')
> 10.10.10.0
{{ '10.10.10.5/24 | ip_network_hosts_size }}
> 10.10.10.0

ip_broadcast(addr)

Returns a broadcast address for a combination of IP address and subnet mask

ip_broadcast('10.10.10.5/24')
> 10.10.10.255
{{ '10.10.10.5/24 | ip_broadcast }}
> 10.10.10.255

ip_network_hosts_size(addr)

Returns the size of the subnet for a combination of IP address and subnet mask

ip_network_hosts_size('10.10.10.5/24')
> 255
{{ '10.10.10.5/24 | ip_network_hosts_size }}
> 255

ip_network_first(addr)

Returns the first usable address in network address for a combination of IP address and subnet mask

ip_network('10.10.10.5/24')
> 10.10.10.1
{{ '10.10.10.5/24 | ip_network_hosts_size }}
> 10.10.10.1

ip_network_last(addr)

Returns the last usable address in network address for a combination of IP address and subnet mask

ip_network('10.10.10.5/24')
> 10.10.10.254
{{ '10.10.10.5/24 | ip_network_hosts_size }}
> 10.10.10.254

How

Simply install with pip.

pip install j2ipaddr

To insert the filters on your Jinja2 processor, simply use the following syntax. The filter name can be changed by adjusting the dict key name.

import jinja2
import j2ipaddr.filters
jinja2.filters.FILTERS['ip_prefixlen'] = filters.ip_prefixlen

Or, probably an easier way, use the following one-liner to load all the filters into your Jinja2 filters

import jinja2
from j2ipaddr import filters
jinja2.filters.FILTERS.update(filters.load_all())

On your templates, you can do this as an example:

Variables

host:
  interfaces:
    Te1/0/1:
      ipv4_addresses:
        - 10.10.10.5/24

Template

router ospf 10
  network {{host.interfaces.Te1/0/1.ipv4_addresses[0] | ip_network }} {{host.interfaces.Te1/0/1.ipv4_addresses[0] | ip_wildcard  }} area 0.0.0.0

The output would looks like this:

router ospf 10
  network 10.0.0.0 0.0.0.255 area 0.0.0.0

Metadata

Release files for j2ipaddr 1.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for j2ipaddr 1.1.0
File Size Uploaded Provenance Actions
j2ipaddr-1.1.0.tar.gz 15.9 kB Without provenance Details for j2ipaddr-1.1.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for j2ipaddr 1.1.0
File Interpreter ABI Platform Actions
j2ipaddr-1.1.0-py3-none-any.whl Python 3 none any Details for j2ipaddr-1.1.0-py3-none-any.whl

Total release size: 32.0 kB

Release files / j2ipaddr-1.1.0.tar.gz

Download URL j2ipaddr-1.1.0.tar.gz
Size 15.9 kB
Tags Source
SHA-256 checksum
How to use checksums
95c797d8d6d86c87c72f4685bfaeb72e3f59b64d20ba440eebaa9abf7c512640
BLAKE2b-256 checksum
How to use checksums
f677605db036007c07aa8b94bce9744f9e3adb1b454ecc6743b9ea7808643b20
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.9.25

Release files / j2ipaddr-1.1.0-py3-none-any.whl

Download URL j2ipaddr-1.1.0-py3-none-any.whl
Size 16.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
5e8dc8798f5bdb2b31251e0737ec48759d5c070c0ccaf4c15fadfb2e3f04957e
BLAKE2b-256 checksum
How to use checksums
0cce39666061892814c8e1bb1f216b99556e152e4177cfe8c6c4415ea420f923
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.9.25

Security for j2ipaddr 1.1.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page