start_date: 2023-01-01
end_date: 2025-09-30

consortia: ['consortium0', 'consortium1', 'consortium2']

days_weather_forecast: 7
datetime_col: 'result_time'
value_col: 'result'
datastream_id_col: 'datastream_id'
datastream_name_col: 'datastream_name'
sensor_id_col: 'sensor_id'
location_id_col: 'location_id'
sensor_type_col: 'sensor_type'
ground_offset_col: 'ground_offset'

resampling_window: '24h'
missing_data_method: 'drop'
num_predictions: 1

# 03 - MODEL PREPARATION
# satellite
spatial_agg_method: 'field_level' # 'closest'  # or field_level
field_agg: 'mean'   # can also be median, how to agg pixels in field level
# meteo stations
meteo_method: 'closest' # 'interpolated'

"request_script" : "vis_evalscript.js" # can also be the other files

# Consortia Parameters

data_availability: {'consortium0':
  {has_weather_data: True, has_crop_data: True, has_soil_data: True, has_remote_sensing_data: True},
                    'consortium1':
  {has_weather_data: True, has_crop_data: True, has_soil_data: True, has_remote_sensing_data: True},
                    'consortium2':
  {has_weather_data: False, has_crop_data: True, has_soil_data: False, has_remote_sensing_data: False},
}
#crop_per_consortium: {'consortium0': 'Grapevine', 'consortium1': 'Apple', 'consortium2': 'Grapevine'}
#planting_dates_per_consortium: {'consortium0': '03/25', 'consortium1': '03/25', 'consortium2': '03/25'} # TODO: to be deleted