[feature] Refactor crop models outputs - homogenize

Summary

Outputs of crop models should be identical to homogenize analysis/visualization methods.

Current behavior

run_crop_simu outputs two objects : Soil_plot and Crop_plot. This is based on Simple formalism. Problems :

• Stics outputs only one object (crop). Therefore, Soil_plot is left empty. This is not a blocking issue because Soil plot can simply be ignored
• Grassim outputs three objects (crop, soil, management). For, now, crop and management outputs are stored in crop_plot. Analaysis/visualisation needs to be run with crop_plot[0/1] instead of Crop_plot directly.

Desired behavior

run_crop_simu should return a single "result" or "output" object, that visualization functions could take as an input. 2 options :

• concatenate all 'nyears_data' dictionaries in one
• Le the analysis/visualization functions iterate over the "result" object to find the right dictionary

Proposition 1 : run_crop_simu returns a dictionary 'results', containing the output objects as values and names as keys. Ex :

def run_crop_simu(...):
  results = {}
  ...
  #Simple 
  results['Soil'], results['Crop'] = run_independant_years_of_crop()
  # Stics
  results['Crop'] = run_independant_usms() 
  # Grassim
  results['Soil'], results['Crop'], results['Management'] = run_grassim(...)

  return results

Proposition 2 : run_crop_simu returns a dictionary 'results', concatenation of all nyears_data dictionaries.

def run_crop_simu(...):
  results = {}
  ...
  #Simple 
  Soil, Crop = run_independant_years_of_crop()
  results = Soil.nyears_data
  results.update(Crop.nyears_data)
  
  # Stics
  Crop = run_independant_usms()
  results = Crop.nyears_data 
  
  # Grassim
  Soil, Crop, Management = run_grassim(...)
  results = Soil.nyears_data
  results.update(Crop.nyears_data)
  results.update(Management.nyears_data)

  return results

Sources

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Linked features or branches

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