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: (optional):

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

accepted type: str

file: (optional): dummy_meteo_%Y%m%d%H00.txt

File format for the fluxes

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): 24H

Frequency at which files are split

accepted type: str

split_freq: (optional)

Force splitting the processing at a given frequency different to file_freq

accepted type: str

seed: (optional): False

Use random generation of meteo parameters

accepted type: bool

seed_id: (optional): 0

ID for the numpy seed to be used

accepted type: int

resolution: (optional): 1H

Temporal resolution of the meteorology

accepted type: str

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:

 1datastream:
 2  plugin:
 3    name: dummy
 4    version: csv
 5    type: datastream
 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