Template plugin for fluxes (flux / template)


This is a template to write a flux plugin. It includes all required functions to run properly.

It generates random values and can be directly used with a working test case.


Please gradually document your plugin properly when starting from the template. It includes input_arguments (see here for details), as well as all information about the original data the plugin is supposed to accommodate.

Please include licensing information, permanent link to download the data (or a contact person if no link is publicly available), as well as data format (temporal and horizontal resolution, names and shape of the data files), and any specific treatment that prevents the plugin from working with another type of files.

Summary steps to integrate a new flux data plugin

First steps to integrate your own flux plugin from the template

To integrate your own flux plugin, please follow the steps:

  1. copy the flux_plugin_template directory into one with a name of your preference

  2. Start writing the documentation of your plugin by replacing the present docstring in the file __init__.py. Use rst syntax since this doctring will be automatically parsed for publication in the documentation

  3. Change the variables _name, _version (default is std) if not specified, and _fullname (optional, is used as a title when automatically generating the documentation here)

Now your new plugin is ready to be used in your test case with random data.

Further integration of your own plugin

Now that your plugin can be used in a yml and generate random values, you need to integrate the main functions feeding the plugin.

  • fetch: fetch data files

  • read: read data files

  • write: write data files

Please find further details here.

Yaml arguments

The following arguments are used to configure the plugin. pyCIF will return an exception at the initialization if mandatory arguments are not specified, or if any argument does not fit accepted values or type:

Optional arguments

dir: (optional):

Path to the corresponding component. This value is used if not provided in parameters

accepted type: str

file: (optional):

File format in the given directory. This value is used if not provided in parameters

accepted type: str

varname: (optional):

Variable name to use to read data filesinstead of the parameter name if different to the parameter name

accepted type: str

file_freq: (optional): 1D

The time frequency at which data files are available.

accepted type: str

dummy_arg: (optional): let’s say it’s not mandatory

document here the argument

accepted type: str

lon_min: (optional): -180

Minimum longitude

accepted type: float

lon_max: (optional): 180

Maximum longitude

accepted type: float

lat_min: (optional): -90

Minimum latitude

accepted type: float

lat_max: (optional): 90

Maximum latgitude

accepted type: float

nlon: (optional): 90

Number of grid cells in the zonal direction

accepted type: int

nlat: (optional): 45

Number of grid cells in the meridional direction

accepted type: int

nlev: (optional): 1

Number of levels in the data

accepted type: int

average_value: (optional): 1

Average value for the generation of random values

accepted type: float

Yaml template

Please find below a template for a Yaml configuration:

 2  plugin:
 3    name: flux
 4    version: template
 5    type: datastream
 7  # Optional arguments
 8  dir: XXXXX  # str
 9  file: XXXXX  # str
10  varname: XXXXX  # str
11  file_freq: XXXXX  # str
12  dummy_arg: XXXXX  # str
13  lon_min: XXXXX  # float
14  lon_max: XXXXX  # float
15  lat_min: XXXXX  # float
16  lat_max: XXXXX  # float
17  nlon: XXXXX  # int
18  nlat: XXXXX  # int
19  nlev: XXXXX  # int
20  average_value: XXXXX  # float