Skip to main content

OpenStack Interpreter

Project description

This is a simple tool to facilitate better python interpreter use of the various OpenStack python clients and help promote better literacy for all those tools. The hope is that this tool allows developers to more easily use and test the various libraries, and also to offer operators a useful tool for one off operations where writing a script is not needed and where the OpenStackClient is not flexible enough without resorting to complex bash.

Using the OpenStack Interpreter

First install the plugin:

pip install openstack-interpreter

This will now be installed as a plugin on the OpenStackClient or install the OpenStackClient as well.

You will need to either have some environment variables setup, or a clouds.yaml file so that the client can authenticate and setup your session.

To run the interpreter:

$ openstack interpreter

This will drop you into an ipython interpreter. You will be setup with a session based on your auth credentials.

Because this is using ipython as the interpreter you can make use of the autocomplete and help functionality. There is also history search support and many other features. For more details look at the ipython docs.

To get some basic help you can start with:

In [1]: interpreter?

Or if you want to get and start using the clients, this is how you can get acess to novaclient:

In [2]: novaclient = interpreter.clients.compute

Or if you want novaclient in a region other than your configured one:

In [2]: novaclient = interpreter.clients.get_client(
   ...:     'compute', region='RegionOne')

Additional inbuilt tools

This library has a few basic tools for helping you deal with the data you are playing with and present it to you a little nicer. This will improve over time as more is added, but for now we have some output functions, basic profiling, and a few prompts.

tools examples

Maybe you want to look at some of the values on an OpenStack resource. Since most of the client libraries give resources a to_dict function (NOTE: this may not always be the case) you can do the following:

In [3]: servers = novaclient.servers.list()

In [4]: server = servers[0]

In [5]: output.print_dict(server.to_dict())

Or just print the object itself, since it may not have to_dict anyway:

In [5]: output.print_object(server)

Although some of the fields may be dicts and this harder to read, so we’d like to format them a little:

In [5]: output.print_object(
   ...:     servers[0], formatters={
   ...:         'addresses': output.json_formatter,
   ...:         'flavor': output.json_formatter,
   ...:         'image': output.json_formatter,
   ...:         'links': output.json_formatter})

Or maybe you’re looking at a list of resources, and you only care about certain fields:

In [4]: output.print_list(servers, ["name", "id", "status"])

You can even format lists, although be careful as listing does not auto wrap properly yet:

In [4]: output.print_list(
   ...:     servers, ['name', 'status', 'addresses'],
   ...:         formatters={'addresses': output.json_formatter})

Or maybe you are looking at a lot of data and want to highlight something:

In [5]: rows = []

In [6]: for server in servers:
   ...:     if server.status == "ACTIVE":
   ...:         rows.append([
   ...:             server.name, server.id,
                    output.style_text(server.status, ['green', 'bold'])
   ...:         ])
   ...:     elif server.status == "ERROR":
   ...:         rows.append([
   ...:             server.name, server.id,
                    output.style_text(server.status, ['red', 'bold'])
   ...:         ])
   ...:     else:
   ...:         rows.append([server.name, server.id, server.status])

In [7]: output.print_list_rows(rows, ["name", "id", "status"])

Or want to delete a ton of instances, but want ones with certain names (or maybe even tags) to ask for a prompt first:

In [3]: servers = novaclient.servers.list()

In [4]: for server in servers:
   ...:     if "prod" in server.name:
   ...:         output.print_object(server)
   ...:         if prompt.prompt_yes_no(
   ...:                 "Are you sure you want to delete this?"):
   ...:             server.delete()
   ...:     else:
   ...:         server.delete()

Or maybe you’re just curious how long it takes to run something:

In [3]: with timed("listing servers"):
   ...:     servers = novaclient.servers.list()

Useful patterns

Get my servers (or any resource) across all regions:

In [1]: keystone = interpreter.clients.identity

In [2]: servers = {}

In [3]: for region in keystone.regions.list():
   ...:     servers[region.id] = interpreter.clients.get_client(
   ...:         "compute", region=region.id).servers.list()

Development

Going forward the plan is to add support for OpenStackSDK, and Shade (if I can find a way to connect it and reuse parts of the same session).

In addition I also want to add more help functionality as is possible.

Adding support for new clients is easy. If you have a client you want added, make a pull request, or open an issue.

I may be moving this project to OpenStack’s gerrit, but in part I’d prefer not to as the interface for gerrit is awful.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

openstack-interpreter-0.2.2.tar.gz (14.7 kB view details)

Uploaded Source

File details

Details for the file openstack-interpreter-0.2.2.tar.gz.

File metadata

File hashes

Hashes for openstack-interpreter-0.2.2.tar.gz
Algorithm Hash digest
SHA256 d4b98a5a79e07fe2c7d83a1bd8e33d6e1cfabd38aaaa0041f038330439855cff
MD5 3f06ca7a05d3bd5ede760344b456fcb2
BLAKE2b-256 329c3325bdaa1e40c8f1b92f1e072737551ae291c07e6135e71e0dc7f3733b13

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page