Svajunas Plunge authored 2 years ago and Christoph Schürz committed 2 years ago

Added add_kill_op and helper insert_line_at function for projects without proper seperation of hvkl into harv and kill.

- Move functions to modify input files to 'update_input_files.R'
- Move get_os, run_os, find_swat_exe, to 'utils.R'

- Implement useful functionality from run_verify
  e.g. start_date, end_date, years_skip
- Include check functions for function arguments
- Include set_print_prt and set_time_sim
- Update set_print_prt to consider wb_sft case
  which needs basin_wb_aa output to be written

- Tested current state of softcal routine

- water balance softcal files are now in extdata folder
- water yield and baseflow fractions are now input arguments of
  run_softcal_waterbalance
- build_wb_softcal_input now replaces download_sft_files
  and modify_wb_parms
- Variable names wer updated to be consistent with run_verify

- renamed soft calibration function to 'run_softcal_waterbalance'
- add function description
- minor edit in parameter definition
- change '=' to '<-', to match code style guide
- Update some comments in code

(I hope...)

and documentation changes

which performs the following step from the manual:

2. Modify ‘water_balance.sft’ with your values for fractions. Only the values under the WYR and
BFR columns need to be modified (see Soft data). Make sure to count the columns, as the file
is a free-format. Save the edits.

since there were only really 2 code snippets that DIDNT overlap between the two.

Easier to read and modify now, just need to pass the switch on/off param

and disable_sft() does the same, in reverse

fixed bug in method too, accidentally used paste instead of paste0 --> wrong filename

these functions enable and disable the softcal routine by making the required changes to the file.ico file

also modified the  read_wb_aa() function to handle varying column width (which happens sometime for SWAT reasons...)

Wrote a function to download the required .sft files

also read_wb_aa() now converts the df to a tibble, I dont know if we want to do that though

Converts the correct columns to numeric (excluding name and description)

starting work on the soft-calibration functions