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 |
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