pip install brewtils
Python Plugin Guide (Local)
The goal of this section is to help you write a local plugin from scratch. In order to write local plugins there are a few things that you need.
Prerequisites
In order to build a plugin you’ll need a functioning Python environment. Setting that up is outside the scope of this tutorial; we recommend pyenv. You’ll also need access to a functioning Beer Garden. Check out the installation instructions for ways to stand up your own Beer Garden.
The simplest way to get started is to use the utility package we’ve created to make plugin building as easy as possible. The package is called brewtils
and lives on PyPI. You can find Brewtils API Documentation here. Add it to your environment like this:
Don’t forget, if you’re writing a local plugin, you’ll need to be able to write to the plugins directory of the Beer Garden you plan on using. |
Now you’re ready to start writing your plugin.
Hello World!
Plugins are just classes with methods that you would like to expose. This section will walk you through setting up a plugin that exposes the classic 'Hello, World!' functionality.
Write the code
Use your favorite text editor and open up a file called main.py
and add the following:
from brewtils import Plugin, command
class HelloWorldClient(object):
@command (1)
def say_hello(self):
greeting = "Hello, World!"
print(greeting)
return greeting
def main():
client = HelloWorldClient()
plugin = Plugin(
client=client,
name="hello-world", (2)
version="1.0",
description="Say hello"
)
plugin.run()
if __name__ == "__main__":
main()
1 | The @command decorator marks this method as a Command that’s part of the enclosing Client. |
2 | The values defined here determine how the plugin is listed in the UI. |
Configure your plugin
First things first, we need to create a special configuration file that Beer Garden uses to determine important information about your plugin. That file is called beer.conf
PLUGIN_ENTRY='main.py'
Now that you’ve written your code and beer.conf
, you’ll need to find a way to package your software. Python uses setuptools
to do this. Let’s start with a simple setup.py
. This file is standard python, but we will go over an easy configuration first:
from setuptools import find_packages, setup
requirements = ["brewtils"]
setup_args = {
"name": "hello_world",
"description": "Say hello",
"version": "1.0",
"packages": find_packages(exclude=["test", "test.*"]),
"install_requires": requirements,
}
setup(**setup_args)
Since our files may or may not be in a correct package, we also are going to add the following to MANIFEST.in
. Since Beer Garden plugins are expected to include a beer.conf
file in their distributions, the MANIFEST.in
is python’s way of including that file in the source build. You can simply include it as follows:
include beer.conf
include main.py
Creating your distribution
Once you are done configuring everything, you simply need to build a source distribution, which you can do with the following command:
python setup.py sdist
This will create a tar.gz
file in your dist
directory. This file is what will get transferred to the plugins/
directory in Beer Garden.
Deploying your plugin
Take your tar.gz
file, and copy it to the plugins directory of Beer Garden. The default location for RPMs is /opt/beer-garden/plugins
but varies based on your installation methods. Once copied, you simply need to untar/compress it:
cp dist/hello_world-1.0.tar.gz /opt/beer-garden/plugins/
cd /opt/beer-garden/plugins/
tar -zxvf hello_world-1.0.tar.gz
Now go to the Beer Garden GUI under Admin → Systems
and click Rescan Plugin Directory
in the top right. This will instruct Beer Garden to scan the plugins directory for new plugins and start them. You should see your plugin appear. Once it is up, you can go to the Systems
page, click Explore
next to the hello-world
System, and see the command say_hello
! Click Make it Happen!
then Make Request
to see your plugin in action.
That’s it!
Anatomy of a local plugin
The anatomy of a plugin is pretty simple. If you are familiar with writing python libraries, this directory structure should look very familiar. A normal plugin will look something like this:
my_plugin/ | | - beer.conf | - MANIFEST.in | - main.py | - setup.py | my_plugin/ | | | | - client.py | | - __init__.py
The only thing in this directory structure that should look non-standard is the beer.conf
file. But for posterity’s sake, let’s examine each of these files/directories a little bit more closely.
beer.conf
The beer.conf
file is a minimal configuration file that specifies to Beer Garden how to configure and start up the plugin. More information is available below in the Plugin Configuration section.
MANIFEST.in
To developers who have never written a complicated egg before, the MANIFEST.in
may be something new. Since Beer Garden Plugins are expected to include a beer.conf
file in their distributions, the MAINFEST.in
is python’s way of including that file in the source build. Generally speaking (unless you have additional requirements that are not python packages) you can simply include the beer.conf
and your plugin executable in the MANIFEST. Most MANIFEST.in
files look like the following:
include beer.conf include main.py
This basically says "include main.py and beer.conf" in my source distribution.
main.py
The main.py does not have to be called main.py, but it is whatever name you gave to your PLUGIN_ENTRY
entry in the beer.conf
file and must be included in the source distribution. This is what starts up the plugin and keeps it running.
setup.py
The setup.py
file should be very standard. Customize this as you would customize any setup.py
file for packaging python eggs.
my_plugin/*
Everything in the my_plugin/
directory is specific module level code you would like to include in your distribution. You can organize your library however makes sense to you. The code underneath here has little if anything to do with Beer Garden. The only thing that you’ll see that Beer Garden requires is some type of client that has been decorated with utilities from brewtils.
That’s all there is to plugin layouts!
Plugin Configuration
The beer.conf
file explains how to configure your plugin. Let’s explore the required beer.conf
options.
# Defines the system name of your plugin
NAME = "my-plugin"
# The version of your plugin
VERSION = "0.0.1"
# Defines way to run the plugin
PLUGIN_ENTRY='main.py'
# Autobrew module path
AUTO_BREW_MODULE="my.module"
# Autobrew class
AUTO_BREW_CLASS="my_class"
In addition to the required fields, you may optionally provide other values to enhance your plugin. Each option is explained in more detail below.
# Description of what your plugin does
DESCRIPTION = "My plugin does cool stuff"
# The name of the system in the GUI
DISPLAY_NAME = "My Plugin"
# Environment variables
ENVIRONMENT={'MY_PASSWORD':'sup3r$ecret'}
# Instances to start. If none are provided, an
# instance named 'default' is started
# In this case, we would create two instances, i1 & i2
INSTANCES = ["i1", "i2"]
# Arguments to pass to the PLUGIN_ENTRY value
PLUGIN_ARGS = ['arg1']
# Defines relationship to 'foo' plugin
REQUIRES=['foo']
# Additional Metadata you would like to add to the system
METADATA = {'foo': 'bar'}
# Autobrew ARG values to pass to AUTO_BREW_CLASS __init__
AUTO_BREW_ARGS = ["foo","bar"]
# Autobrew KWARG values to pass to AUTO_BREW_CLASS __init__
AUTO_BREW_KWARGS = {"key","value"}
NAME
The NAME
entry is pretty straight-forward. It is the system name that will be used to identify your system.
VERSION
The VERSION
entry is supposed to be a semantic-version. That means something that looks like X.X.X
where X
can be any number. The version is important to Beer Garden, and it will not let you upload two systems with the same version that has different command/parameters.
If you are in the process of developing a plugin, and want to change commands or parameters, you can name your version X.X.X.dev0 which will allow you to overwrite command and parameters in place.
|
PLUGIN_ENTRY
The PLUGIN_ENTRY
entry in the beer.conf
file is simply the python script that will execute plugin.run()
That’s really all there is to this.
AUTO_BREW_MODULE
The AUTO_BREW_MODULE
entry is module on the pythonpath that the class object will be imported from for Autobrew to process
AUTO_BREW_CLASS
The AUTO_BREW_CLASS
entry is class object within AUTO_BREW_MODULE
for Autobrew to process
DESCRIPTION
Again, a pretty straight-forward field. This is the system description that you’ll see in the GUI/ReST API.
METADATA
The METADATA
field allows you to associate METADATA with your system. This can be helpful for service-discovery type information or anything else specific with your system that you would like programmatically discoverable.
ENVIRONMENT
If there is some reason you cannot or do not want to pass your information in through the command line or through a file of your choosing, you can choose to set variables in your environment using the ENVIRONMENT
portion of the beer.conf
file. The ENVIRONMENT
entry is simply a dictionary that contains all the ENVIRONMENT Variables you want. Please note that all ENVIRONMENT variables will be converted to strings before they are included. You can also utilize other environment variables that you know are set. For example, the BG_PLUGIN_PATH
:
ENVIRONMENT={
'foo':'bar',
'LD_LIBRARY_PATH':'$BG_PLUGIN_PATH/vendor/lib'
}
Pretty Cool, right?
INSTANCES
Whether or not you know it, your plugin will have instances. If you do not provide Beer Garden with the INSTANCES
key, then it will assume you only want one instance of the plugin and will create it with a plugin with a single instance named default
. Entries in the INSTANCES
section will be validated against entries in PLUGIN_ARGS section.
PLUGIN_ARGS
If you want something to be easily changeable, this is something you may be interested in. Often times, this can be used as a way to pass in a configuration file. For Example:
PLUGIN_ARGS=['/path/to/config.file']
PLUGIN_ENTRY='main.py'
Will cause Beer Garden to run your app via: python main.py /path/to/config.file
You can actually utilize some environment variables to your advantage here as well. Namely the $BG_PLUGIN_PATH
to get the path of the deployed plugin.
The PLUGIN_ARGS
entry plays along with the INSTANCES
entry. If there are multiple instances and the PLUGIN_ARGS
is a list, Beer Garden assumes that you want to pass the value of PLUGIN_ARGS
to each and every instance that is defined in the INSTANCES
section. For example:
INSTANCES=['foo', 'bar']
PLUGIN_ARGS=['arg1', 'arg2']
PLUGIN_ENTRY='main.py'
Tells Beer Garden to start two instances of your plugin via:
python main.py arg1 arg2
python main.py arg1 arg2
If you want to give different instances different arguments, you could do the following:
INSTANCES = ['foo', 'bar', 'baz']
PLUGIN_ARGS = {
'foo': ['arg1', 'arg2'],
'bar': ['arg3'],
'baz': []
}
This will instruct Beer Garden to start 3 instances of your plugins via:
python main.py arg1 arg2
python main.py arg3
python main.py
If you define your PLUGIN_ARGS
as a dictionary, then there really is no need to define the INSTANCES
. So the previous example and this example are functionally equivalent:
PLUGIN_ARGS = {
'foo': ['arg1', 'arg2'],
'bar': ['arg3'],
'baz': []
}
REQUIRES
If you are writing a plugin that interacts with other plugins, then you should note this dependency in the REQUIRES
field. Simply, if you are writing a plugin 'bar' that relies on foo add:
REQUIRES=['foo']
AUTO_BREW_ARGS
The AUTO_BREW_ARGS
field allows ARG values to be passed into the class initialization function
The AUTO_BREW_ARGS
entry plays along with the INSTANCES
entry. If there are multiple instances and the AUTO_BREW_ARGS
is a list, Beer Garden assumes that you want to pass the value of AUTO_BREW_ARGS
to each and every instance that is defined in the INSTANCES
section. For example:
INSTANCES=['foo', 'bar']
AUTO_BREW_ARGS=['arg1', 'arg2']
AUTO_BREW_MODULE="my.module"
AUTO_BREW_CLASS="my_class"
Tells Beer Garden to start two instances of your plugin via:
my.module.my_class('arg1','arg2')
my.module.my_class('arg1','arg2')
If you want to give different instances different arguments, you could do the following:
INSTANCES = ['foo', 'bar', 'baz']
AUTO_BREW_ARGS = {
'foo': ['arg1', 'arg2'],
'bar': ['arg3'],
'baz': []
}
This will instruct Beer Garden to start 3 instances of your plugins via:
my.module.my_class('arg1','arg2')
my.module.my_class('arg3')
my.module.my_class()
If you define your AUTO_BREW_ARGS
as a dictionary, then there really is no need to define the INSTANCES
. So the previous example and this example are functionally equivalent:
PLUGIN_ARGS = {
'foo': ['arg1', 'arg2'],
'bar': ['arg3'],
'baz': []
}
AUTO_BREW_KWARGS
The AUTO_BREW_KWARGS
field allows KARG values to be passed into the class initialization function.
The AUTO_BREW_KWARGS
entry plays along with the INSTANCES
entry. If there are multiple instances and the AUTO_BREW_KWARGS
is a list, Beer Garden assumes that you want to pass the value of AUTO_BREW_KWARGS
to each and every instance that is defined in the INSTANCES
section. For example:
INSTANCES=['foo', 'bar']
AUTO_BREW_KWARGS={"key_1","value_1", "key_2","value_2"}
AUTO_BREW_MODULE="my.module"
AUTO_BREW_CLASS="my_class"
Tells Beer Garden to start two instances of your plugin via:
my.module.my_class(key_1='value_1', key_2='value_2')
my.module.my_class(key_1='value_1', key_2='value_2')
If you want to give different instances different arguments, you could do the following:
INSTANCES = ['foo', 'bar', 'baz']
AUTO_BREW_KWARGS = {
'foo': {"key_1","value_1", "key_2","value_2"},
'bar': {"key_3","value_3"},
'baz': []
}
This will instruct Beer Garden to start 3 instances of your plugins via:
my.module.my_class(key_1='value_1', key_2='value_2')
my.module.my_class(key_3='value_3')
my.module.my_class()
If you define your AUTO_BREW_KWARGS
as a dictionary, then there really is no need to define the INSTANCES
. So the previous example and this example are functionally equivalent:
AUTO_BREW_KWARGS = {
'foo': {"key_1","value_1", "key_2","value_2"},
'bar': {"key_3","value_3"},
'baz': []
}
And that’s it!
Exception Handling
It is important to be able to tell Beer Garden when something on your system goes wrong. brewtils
takes advantage of Python’s exceptions in order to handle command malfunctions. So if you have a function:
def my_error(self):
raise ValueError("Something went wrong!")
This will result in the request status turning to "ERROR" and its output will be Something went wrong!
. It is expected that plugins will throw errors as a way to notify Beer Garden that something has gone wrong.
If you choose to handle errors and not throw, you will notice something that may be quite confusing to your plugins users. Let’s have an example:
def my_error(self, x):
if x is None:
# This is actually an error, but we will short-circuit
return "An error occurred."
return x
If x
being None
is an error, then you should throw an error. Otherwise, the request will be marked as SUCCESS
while the output will say An error occurred
If your command has a JSON
output type, then Beer Garden will attempt to format your exception as a JSON error message. Here’s an example:
@command(command_type="JSON")
def my_error(self):
raise ValueError("Error Message")
If you call this method, you’ll still notice a status of ERROR
but the output will be something like:
{
"message": "Error Message",
"attributes": {}
}
If you’re asking what the attributes
entry is supposed to represent, it will take the dict
of the exception and attempt to jsonify it. Let’s say you have a custom exception class like the following:
class MyError(Exception):
def __init__(self, *args, **kwargs):
self.foo = kwargs.pop("foo")
self.bar = kwargs.pop("bar")
Then you throw that error during a command, Beer Garden will modify the output as per the following:
{
"message": "Error Message"
"attributes": {"foo": "foo_value", "bar": "bar_value"}
}
If your attributes are not JSON serializable, then a string representation of the dictionary will be provided to the attributes. |
Logging
For Local plugins, Beer Garden will attempt to make decent decisions about where it should log. For example, if Beer Garden is configured to log to STDOUT
or STDERR
then your plugin will log there as well. If, however, Beer Garden is configured to log to a file (the default behavior for RPMs), then it will give each unique plugin its own log file. If you would like to log, you can either print to STDOUT
or STDERR
. The LocalPlugin
will take care of everything else.
Use STDOUT or STDERR for logging |
You can use the python logging to log to stderr with your own format if you’d like via:
import logging
logger = logging.basicConfig(level=logging.INFO,
format="%(asctime)s - %(name)s - %(levelname)s - %(message)s")
logger.info("foo")
You can also just use print:
print "foo"
If you choose to use print and have a long running process and you would like the log statements to come out as they happen, then you will need to flush the stdout yourself.
def my_long_running_method(self):
time.sleep(1000)
@command
def do_something(self):
print "I'm in do something!"
sys.stdout.flush()
my_long_running_method()
Otherwise, if you are using print, the LocalPlugin
will flush once your method has been completed.
External Logging
Starting in Beer Garden 2.1.0, it is possible to tell your plugins how to log from the Beer Garden application itself. Beer Garden provides a new api (/api/v1/config/logging
) which will respond with a logging configuration that plugins can optionally use. Checkout our Swagger documentation for the complete details of this new endpoint.
This allows you to do one-time configuration of a logger in Beer Garden configuration files and propagate that logging configuration to all of your plugins. To use it, you simply add the following to your entry point.
from brewtils.log import setup_logger
# Your client definition Here
if __name__ == "__main__":
setup_logger(
bg_host='localhost',
bg_port=2337,
system_name='my_name',
ca_cert=None,
client_cert=None,
ssl_enabled=None,
)
# Init your plugin as normal.
This tells Beer Garden to setup a root logger based on what is returned from the endpoint at api/v1/config/logging
. Checkout the configuration section for more information on how to configure this. This is mostly useful for remote plugins.
Plugins with external dependencies
If your plugin requires external dependencies (python libraries or otherwise) you are required to include these in your source distribution. Unfortunately, this means some additional work for you. Luckily, if all you require are python dependencies, pip has an easy way to include these.
You can do whatever you would like to get these files into your distribution, here is simply one of the examples. Let’s say you require the Fabric dependency. You would add it to your requirements.txt:
bg-utils==0.0.4
Fabric==1.8
Then if you wanted to include this in your source distribution you could install it to a directory:
mkdir vendor
pip install Fabric -t vendor/
Now, you need to include this in your source distribution by modifying your MANIFEST.in
include beer.conf
include main.py
graft vendor
This ensures that everything under vendor will be included in your source distribution. Finally, since you likely want this to be on your load path, you’ll need to modify your beer.conf
to include a new place to look for this information:
ENVIRONMENT={
'PYTHONPATH': '$BG_PLUGIN_PATH/vendor/lib/python2.7/site-packages'
}
This will allow you to successfully load Fabric.
Making your plugin more descriptive
In order to help users of Beer Garden understand how to utilize your plugin, you’ll need to provide some basic information about your plugins. There are lots of ways to specify lots of different information that your plugin can do. So we’ll take it one at a time.
Adding a command description
There are two ways you can add a description to your command. One way is by using pydoc comments
class HelloWorldClient(object):
@command
def hello_world(self):
"""Prints Hello, World!"""
print("Hello, World!")
The description will only take the first line of your comment |
Or you can specify a description via the @command
decorator
class HelloWorldClient(object):
@command(description="Prints Hello, World!")
def hello_world(self):
print("Hello, World!")
Describing a parameter
Obviously, most methods will have required arguments. You can utilize the @parameter
decorator to describe the argument as in the following:
class HelloWorldClient(object):
@command(description="Echos the message you pass to it")
@parameter(key="message",
description="Message to print and return")
def echo(self, message):
print(message)
return message
@parameter
only requires the key
option be passed to it. The key
must match the parameter’s name in the method. There are lots of different options when considering the @parameter
. Check out the following table for a high- level summary:
Argument | Required? | Options | Default | Description |
---|---|---|---|---|
Y |
N/A |
N/A |
Specifies the Argument Name |
|
N |
[String, Integer, Float, Boolean, Any, Dictionary, Base64] |
Any |
Specifies the type of Parameter |
|
N |
[True, False] |
False |
Specifies if the parameter is a list |
|
N |
N/A |
key |
Specifies a Pretty way to refer to the key |
|
N |
[True, False] |
False |
Specifies if the parameter is required |
|
N |
N/A |
N/A |
The Default value of the Parameter |
|
N |
N/A |
N/A |
A short Description of the Parameter |
|
N |
N/A |
N/A |
A list of possible values |
|
N |
N/A |
N/A |
If parameter comes in as a kwarg |
|
N |
N/A |
N/A |
A python Object that has a parameters list |
|
N |
[True, False] |
False |
Specifies if this parameter can be null |
|
N |
Integer |
N/A |
Specifies maximum (See detailed for more info) |
|
N |
Integer |
N/A |
Specifies minimum (See detailed for more info) |
|
N |
N/A |
N/A |
Specifies regex to validate against this value |
|
N |
[textarea] |
N/A |
Specifies the form type to render for this plugin |
Key argument
The key
argument to @parameter
is the only required parameter. It must match the name of an argument in whatever method it is decorating. This is how users of your plugin will identify the parameter they would like to set.
@parameter(key="message")
def do_something(self, message):
print(message)
return message
Type argument
Setting the type
field for a Parameter will let Beer Garden do a couple of things.
First, it lets Beer Garden perform type validation on that parameter. If the value does not match the type (and can’t be converted sensibly) then the Request will be rejected.
Second, it allows the UI to use the best form element for that type of data. For example, you could use a string to represent a date, but setting type
to 'date' means the UI will use a nice datepicker form element.
Finally, several validation constraints can only be applied to specific types. The minimum and maximum constraints are good examples of this - they don’t make sense for booleans, but they definitely do for integers!
@parameter(key="number", type="Integer")
def multiply_by_zero(self, number):
return number * 0
This table outlines the valid type
options.
Type | Valid Constraints | Notes |
---|---|---|
String |
minimum, maximum, regex |
Minimum and Maximum refer to length |
Integer |
minimum, maximum |
|
Float |
minimum, maximum |
|
Boolean |
||
Date |
Form control will not have 'time' option |
|
DateTime |
||
Dictionary |
JSON Object |
|
Base64 |
Allows the user to upload a file as a parameter. This is provided as a file-like object to the plugin. |
|
Any |
Valid JSON (Object, Array, String), number, literal |
The default type is Any . This gives the most flexibility, but it’s a good idea to always specify a type to take advantage of the benefits described above.
|
Multi argument
The multi
field let’s Beer Garden know that the parameter should be a list. Most of the other fields stay the same and continue to describe the individual items in the list.
@parameter(key="list_of_strings", multi=True, type="String")
def do_something(self, list_of_strings):
for s in list_of_strings:
print(s)
Some of the fields do change meaning when you’ve specified that multi is true. See the below table for a more detailed description. |
Argument | How is it changed? |
---|---|
choices |
Choices specify the only valid values, no value can be repeated. |
maximum |
Specifies Maximum length of the list |
minimum |
Specifies Minimum length of the list |
Display name argument
The display_name
field allows you control over how Beer Garden renders the name of the field. This is useful if your argument has a less-than-useful name from the end-users perspective.
@parameter(key="foo", display_name="Name")
def do_something(self, foo):
print("Hi!, my name is: %s" % foo)
Optional argument
The optional
field allows you to specify whether or not the parameter is optional or required. The default depends on if there is a default value in the method definition.
@parameter(key="foo", optional=True, nullable=True))
def do_something(self, foo):
# By default, foo would not be optional but
# it is specified in the param so it's assumed
# the developer will handle the None case.
if foo is None:
print("foo is empty!")
else:
print(foo)
If a default is passed in, then optional will be set to True by default.
If you specify that something is optional, then it must also be nullable if no default is specified. |
Default argument
The default
field allows you to specify the default value for a parameter if it is not given by a user. If there is a default value in the method definition then it will use that.
@parameter(key="foo")
def do_something(self, foo="bar"):
print(foo)
In the above case, if someone utilizes this command but does not pass Beer Garden the foo
parameter, then Beer Garden will default it to bar
. Below is another example of how to use the default argument.
@parameter(key="foo", default="bar"))
def do_something(self, foo):
print(foo)
These are functionally equivalent for Beer Garden.
Description argument
The description
field adds a description to the plugin parameter you are defining.
@parameter(key="foo", description="Your first name")
def do_something(self, foo):
pass
Basic Usage
The easiest way to use choices
is to pass a list of values:
@parameter(key="output_type", choices=["json", "xml"])
def format(self, obj, output_type):
if output_type == "json":
return jsonify(obj)
elif output_type == "xml":
return xmlify(obj)
Sometimes it’s useful to have the display text (what shows up in the UI) be different from the 'real' value (what gets sent to the plugin). To do this, instead of a list of literal values just pass a list of objects with text
and value
keys:
@parameter(key="output_type", choices=[
{"text": "The best", "value": "json"},
{"text": "The worst", "value": "xml"}])
def format(self, output_type):
pass
Additional Configuration
There are some configuration options that control how choices
works. Beer Garden will pick sensible defaults, but to tweak them pass a dictionary to choices
:
@parameter(key="output_type",
choices={'type': 'static', 'value': ['json','xml']})
def format(self, output_type):
...
That way you can add additional key/value pairs to the choices dictionary.
Choices Type
You probably noticed the 'type': 'static'
entry above. Beer Garden is able to figure out exactly what to do when you pass a list of values to choices
, but it needs a hint when you use the dictionary configuration. There are a couple of other ways to populate the choices list (more on those in a bit) so you need to be explicit.
The example above is using the static
type, which tells Beer Garden to expect a list of values in the value
attribute. This is functionally identical to passing a list of values to choices
directly.
The other choice types will be explained in detail in the Choice Sources section.
Display
When you use choices
the UI form control can be a typeahead or a select. To specify which to use just set the display
key:
@parameter(key="output_type",
choices={'type': 'static', 'value': ['json','xml'],
'display': 'typeahead'})
def format(self, output_type):
...
Strictness
The strict
configuration controls whether values that aren’t explicitly listed are allowed. Setting strict
to False will result in a typeahead control that will use the choices
values but still allow any text to be submitted.
@parameter(key="output_type",
choices={'type': 'static', 'value': ['json','xml'],
'strict': False})
def format(self, output_type):
...
Setting strict to False for a select won’t affect the display, but the strict value also controls validation on the backend.
|
Choice Sources
In all the examples so far the list of choices has been a literal list of values. That’s useful, but it’s also useful to have values that can change at runtime. In order to do that you need to provide choices
with instructions on how to populate the choice list instead of the list itself.
In all cases the result of the choices operation must be a valid choices list.
|
URL
Specifying a URL will tell the browser to load choices using an HTTP GET request. You can use type 'url' if using dictionary configuration or just pass the URL as a string:
@parameter(key="p1", choices='https://test.com/p1.json')
@parameter(key="p2", choices={"type": "url",
"value": 'https://test.com/p2.json'})
def format(self, p1, p2):
...
Be aware that the user’s browser will be making this request. So if the Beer Garden UI is being accessed at a secure (https) address then a request to a non-secure (http) URL will likely fail due to mixed-content restrictions. |
Command
Specifying a command will load choices by making a request to the current system. You can use type 'command' if using dictionary configuration or just pass the command as a string. If you’re not using choice parameters (more on those in a minute) you can omit the parenthesis for brevity.
@parameter(key="p1", choices="get_choices()")
@parameter(key="p2", choices={"type": "command",
"value": "get_choices"})
def format(self, p1, p2):
...
@command
def get_choices(self):
return [
{"text": "The best", "value": "json"},
{"text": "The worst", "value": "xml"}
]
Currently you must use a command from the same system (this restriction will be removed in a future release - see issue 269). |
Choice parameters
It’s often useful to have the choices for one parameter depend on the current value of another. To do that you can use choice parameters.
To create a reference on another parameter enclose its key in ${}
. How the parameter is passed depends on what choice source is being used.
When initializing the command creation page, BeerGarden will attempt to update all dependencies for choice parameters at once. If the dependent parameters are defined in such a way that causes side effects inside the command (for example, if A is a choice parameter that depends on B and C, but updating C changes an internal value A and B need), this could lead to unintended consequences or destructive behavior during command load. |
For 'command' types the parameter will be passed as an argument to the command. For example, suppose you have two parameters: day_type
and day_of_week
. You’d like the choices for day_of_week
to depend on what the user has selected for day_type
:
@command
def get_days(self, type):
if type == "Weekday":
return ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"]
elif type == "Weekend":
return ["Saturday", "Sunday"]
else:
raise Exception("Huh?")
@parameter(key="day_type", choices=["Weekday", "Weekend"])
@parameter(key="day_of_week", choices="get_days(type=${day_type})")
def my_command(self, day_type, day_of_week):
do_something(day_of_week)
return "All done!"
For 'url' types the choice parameter should be used as a query parameter:
@parameter(key="day_type", choices=["Weekday", "Weekend"])
@parameter(key="day_of_week",
choices="https://getthedays.com?type=${day_type}")
def my_command(self, day_type, day_of_week):
do_something(day_of_week)
return "All done!"
Choice parameters also enable using a static choices dictionary with one parameter used as the dictionary key. To do this use type static
and pass the dictionary as the value. Since we can construct the dictionary before defining the command
we can rework the day_of_week
example to look like this:
day_dict = {
"Weekday": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"],
"Weekend": ["Saturday", "Sunday"]
}
@parameter(key="day_type", choices=["Weekday", "Weekend"])
@parameter(key="day_of_week", choices={'type': 'static',
'value': day_dict,
'key_reference': '${day_type}'})
def my_command(self, day_type, day_of_week):
do_something(day_of_week)
return "All done!"
When using a choices dictionary the None
key can be used to specify the allowed values when the reference key is null
. For example, if we wanted to modify the day_of_week
example to additionally allow any day to be selected if day_type
was null
we could do this:
day_dict = {
"Weekday": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"],
"Weekend": ["Saturday", "Sunday"],
None: ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday",
"Saturday", "Sunday"]
}
@parameter(key="day_type", choices=["Weekday", "Weekend"],
nullable=True)
@parameter(key="day_of_week", choices={'type': 'static',
'value': day_dict,
'key_reference': '${day_type}'})
def my_command(self, day_type, day_of_week):
do_something(day_of_week)
return "All done!"
Is kwarg argument
The is_kwarg
argument allows you to name a keyword argument that is otherwise unspecified. This is useful if you take keyword args, but want to call out the normal use-case ones more explicitly while still being compatible to other python libraries calling you.
@parameter(key="foo", is_kwarg=True)
def do_something(self, **kwarg):
foo = kwarg.pop("foo")
print(foo)
Model argument
The model
argument allows you to specify some structure for a complicated object. Have a look at the following for an example of how to use the model
field.
from brewtils.models import Parameter
class Person(object):
name = Parameter(key="name",
type="String",
description="Person's name")
age = Parameter(key="age",
type="Integer",
description="Person's age")
class ExampleClient(object):
@parameter(key="person", model=Person)
def greet(self, person):
print("Hello %s" % person.name)
It is assumed that if you have a model, that the type is "Dictionary" |
Nullable argument
The nullable
argument allows you to specify if the parameter can be null. If the argument is allowed to be null, then you must tell us this is possible. The default is assuming that parameters cannot be null.
If there is a default value for a parameter, then nullable
is set to True.
@parameter(key="foo", nullable=True))
def do_something(self, foo):
if foo is None:
print("That's ok!")
else:
print("That's ok too!")
Maximum argument
The maximum
argument allows you to specify the maximum value for a parameter. This meaning changes based on the type
and whether or not the multi
flag is enabled. If the multi
flag is enabled, then maximum is referring to the list length maximum. Otherwise, if type
is integer, it will compare the value of the parameter to the maximum. Otherwise if the type
is a string, it will ensure the length of the string is within bounds.
@parameter(key="foo", type="String", maximum=1)
@parameter(key="bar", type="Integer", maximum=1)
@parameter(key="bazs", type="String", maximum=1)
def do_something(self, foo, bar, bazs):
# guarantees that foo is 1 character at most
# guarantees that bar is no more than 1
# guarantees that bazs is no more than 1 item long
print(foo)
print(bar)
print(bazs)
Minimum argument
The minimum
argument allows you to specify the minimum value for a parameter. This meaning changes based on the type
and whether or not the multi
flag is enabled. If the multi
flag is enabled, then minimum is referring to the list length minimum. Otherwise, if type
is integer, it will compare the value of the parameter to the minimum. Otherwise if the type
is a string, it will ensure the length of the string is within bounds.
@parameter(key="foo", type="String", minimum=1)
@parameter(key="bar", type="Integer", minimum=1)
@parameter(key="bazs", type="String", minimum=1)
def do_something(self, foo, bar, bazs):
# guarantees that foo is at least 1 character
# guarantees that bar is no less than 1
# guarantees that bazs is no less than 1 item long
print(foo)
print(bar)
print(bazs)
Regex argument
The regex
argument allows you to specify a regex that the parameter must pass in order to be considered valid.
@parameter(key="ip", regex=r'^\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}$')
def do_something(self, ipv4):
print("This is a valid IPv4: %s" % ipv4)
Form Input Type Argument
The form_input_type
field allows you control over how Beer Garden renders the text-field. This is useful if you have some string field that is actually quite long. Currently the only supported type is textarea
.
@parameter(key="comment", type="String", form_input_type="textarea")
def do_something(self, comment):
print("This is a long comment: %s" % comment)
Customizing Command Form
The ability to customize the command form is a deprecated feature that will be removed in the relatively near future. For now, the documentation regarding this feature is still available here.