dummy/csv dummy/csv#

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 : str, optional, default “”

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

file : str, optional, default “dummy_meteo_%Y%m%d%H00.txt”

File format for the fluxes

varname : str, optional, default “”

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

file_freq : str, optional, default “24H”

Frequency at which files are split

split_freq : str, optional

Force splitting the processing at a given frequency different to file_freq

seed : bool, optional, default False

Use random generation of meteo parameters

seed_id : int, optional, default 0

ID for the numpy seed to be used

resolution : str, optional, default “1H”

Temporal resolution of the meteorology

Requirements#

The current plugin requires the present plugins to run properly:

Requirement name

Requirement type

Explicit definition

Any valid

Default name

Default version

domain

Domain

False

False

dummy

std

YAML template#

Please find below a template for a YAML configuration:

 1meteo:
 2  plugin:
 3    name: dummy
 4    version: csv
 5    type: meteo
 6
 7    # Optional arguments
 8    dir: XXXXX  # str
 9    file: XXXXX  # str
10    varname: XXXXX  # str
11    file_freq: XXXXX  # str
12    split_freq: XXXXX  # str
13    seed: XXXXX  # bool
14    seed_id: XXXXX  # int
15    resolution: XXXXX  # str