Skip to main content

A Python DSL to create Pollination recipes and plugins.

Project description

pollination-dsl

A Python Domain Specific Language (DSL) to create Pollination Plugins and Recipes.

Pollination uses Queenbee as its workflow language. Pollination-dsl makes it easy to create Queenbee object without the need to learn Queenbee.

pollination-dsl

API docs

Pollination-DSL API docs

Requirements

Python >=3.7

Installation

Using pip:

pip install pollination-dsl

For local development:

  1. Clone this repository.
  2. Change directory to root folder of the repository.
  3. pip install -e .

Function

from dataclasses import dataclass
from pollination_dsl.function import Function, command, Inputs, Outputs


@dataclass
class CreateOctreeWithSky(Function):
    """Generate an octree from a Radiance folder and sky!"""

    # inputs
    include_aperture = Inputs.str(
        default='include',
        description='A value to indicate if the static aperture should be included in '
        'octree. Valid values are include and exclude. Default is include.',
        spec={'type': 'string', 'enum': ['include', 'exclude']}
    )

    black_out = Inputs.str(
        default='default',
        description='A value to indicate if the black material should be used. Valid '
        'values are default and black. Default value is default.',
        spec={'type': 'string', 'enum': ['black', 'default']}
    )

    model = Inputs.folder(description='Path to Radiance model folder.', path='model')

    sky = Inputs.file(description='Path to sky file.', path='sky.sky')

    @command
    def create_octree(self):
        return 'honeybee-radiance octree from-folder model --output scene.oct ' \
            '--{{self.include_aperture}}-aperture --{{self.black_out}} ' \
            '--add-before sky.sky'

    # outputs
    scene_file = Outputs.file(description='Output octree file.', path='scene.oct')

If you want to access the Queenbee objects you can use queenbee property. For example try print(CreateOctreeWithSky().queenbee.yaml()) and you should see the full Queenbee definition:

type: Function
annotations: {}
inputs:
- type: FunctionStringInput
  annotations: {}
  name: black-out
  description: A value to indicate if the black material should be used. Valid values
    are default and black. Default value is default.
  default: default
  alias: []
  required: false
  spec:
    type: string
    enum:
    - black
    - default
- type: FunctionStringInput
  annotations: {}
  name: include-aperture
  description: A value to indicate if the static aperture should be included in octree.
    Valid values are include and exclude. Default is include.
  default: include
  alias: []
  required: false
  spec:
    type: string
    enum:
    - include
    - exclude
- type: FunctionFolderInput
  annotations: {}
  name: model
  description: Path to Radiance model folder.
  default: null
  alias: []
  required: true
  spec: null
  path: model
- type: FunctionFileInput
  annotations: {}
  name: sky
  description: Path to sky file.
  default: null
  alias: []
  required: true
  spec: null
  path: sky.sky
  extensions: null
outputs:
- type: FunctionFileOutput
  annotations: {}
  name: scene-file
  description: Output octree file.
  path: scene.oct
name: create-octree-with-sky
description: Generate an octree from a Radiance folder and sky!
command: honeybee-radiance octree from-folder model --output scene.oct --{{inputs.include-aperture}}-aperture
  --{{inputs.black-out}} --add-before sky.sky

Since the functions are standard Python classes you can also subclass them from one another as long as you use the same name for the @command method. Otherwise it will create an invalid function with two commands.

Plugin

To create a Pollination plugin use the functions to create a standard Python module. The only change is that you need to provide the information for Pollination plugin in the __init__.py file as dictionary assigned to __pollination__ variable.

Follow the standard way to install a Python package. Once the package is installed you can use pollination-dsl to load the package or write it to a folder.

from pollination_dsl.package import load, write

# name of the pollination package
python_package = 'pollination_honeybee_radiance'

# load this package as Pollination Plugin
plugin = load(python_package)

# or write the package as a Pollination plugin to a folder directly
write(python_package, './pollination-honeybee-radiance')

Here are two real world examples of Pollination plugins:

Recipe

Recipe is a collection of DAGs. Each DAG is a collection of interrelated tasks. You can use pollination-dsl to create complex recipes with minimum code by reusing the functions as templates for each task.

Packaging a plugin is exactly the same as packaging a plugin.

from pollination_dsl.package import load, translate

# name of the pollination package
python_package = 'daylight-factor'

# load this package as Pollination Recipe
recipe = load(python_package, baked=True)

# or translate and write the package as a Pollination plugin to a folder directly
translate(python_package, './daylight-factor')

Here are number of real world examples of Pollination recipes:

How to create a pollination-dsl package

Pollination-dsl uses Python's standard packaging to package pollination plugins and recipes. It parses most of the data from inputs in setup.py file and some Pollination specific information from __init__.py file. Below is an example of how these file should look like.

By taking advantage of Python's native namespace packaging we keep all the packages under the pollination namespace.

setup.py

Here is an example setup.py file. You can see the latest version of the file here.

#!/usr/bin/env python
import setuptools

with open("README.md", "r") as fh:
    long_description = fh.read()

with open('requirements.txt') as f:
    requirements = f.read().splitlines()

setuptools.setup(
    name='pollination-honeybee-radiance',                                   # required - will be used for package name
    author='ladybug-tools',                                                 # required - author must match the owner account name on Pollination
    author_email='info@ladybug.tools',
    packages=setuptools.find_namespace_packages(include=['pollination.*']), # required - that's how pollination find the package
    version='0.1.0',                                                        # required - will be used as package tag. you can also use semantic versioning
    install_requires=requirements,
    url='https://github.com/pollination/pollination-honeybee-radiance',     # optional - will be translated to home
    project_urls={
        'icon': 'https://raw.githubusercontent.com/ladybug-tools/artwork/master/icons_bugs/grasshopper_tabs/HB-Radiance.png',                    # optional but strongly encouraged - link to package icon
    },
    description='Honeybee Radiance plugin for Pollination.',                # optional - will be used as package description
    long_description=long_description,                                      # optional - will be translated to ReadMe content on Pollination
    long_description_content_type="text/markdown",
    maintainer='maintainer_1, maintainer_2',                                # optional - will be translated to maintainers. For multiple maintainers
    maintainer_email='maintainer_1@example.come, maintainer_2@example.com', # use comma inside the string.
    keywords='honeybee, radiance, ladybug-tools, daylight',                 # optional - will be used as keywords
    license='PolyForm Shield License 1.0.0, https://polyformproject.org/wp-content/uploads/2020/06/PolyForm-Shield-1.0.0.txt',  # optional - the license link should be separated by a comma
    zip_safe=False                                                         # required - set to False to ensure the packaging will always work
)

init.py

Here is an example __init__.py for a plugin. The latest version of the file is accessible here.

"""Honeybee Radiance plugin for Pollination."""
from pollination_dsl.common import get_docker_image_from_dependency

# set the version for docker image dynamically based on honeybee-radiance version
# in dependencies
image_id = get_docker_image_from_dependency(
    __package__, 'honeybee-radiance', 'ladybugtools'
)

__pollination__ = {
    'app_version': '5.4',  # optional - tag for version of Radiance
    'config': {
        'docker': {
            'image': image_id,
            'workdir': '/home/ladybugbot/run'
        }
    }
}

Here is an example __init__.py for a recipe. The latest version of the file is accessible here.

from .entry import AnnualDaylightEntryPoint

__pollination__ = {
    'entry_point': AnnualDaylightEntryPoint
}

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

pollination-dsl-0.14.1.tar.gz (36.7 kB view hashes)

Uploaded Source

Built Distribution

pollination_dsl-0.14.1-py2.py3-none-any.whl (37.7 kB view hashes)

Uploaded Python 2 Python 3

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