rompy.schism.data.SfluxPrc

pydantic model rompy.schism.data.SfluxPrc

This is a single variable source for and sflux input

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{
   "title": "SfluxPrc",
   "description": "This is a single variable source for and sflux input",
   "type": "object",
   "properties": {
      "model_type": {
         "const": "grid",
         "default": "grid",
         "description": "Model type discriminator",
         "title": "Model Type",
         "type": "string"
      },
      "id": {
         "default": "sflux_source",
         "description": "id of the source",
         "title": "Id",
         "type": "string"
      },
      "source": {
         "default": null,
         "title": "Source"
      },
      "link": {
         "default": false,
         "description": "Whether to create a symbolic link instead of copying the file",
         "title": "Link",
         "type": "boolean"
      },
      "filter": {
         "anyOf": [
            {
               "$ref": "#/$defs/Filter"
            },
            {
               "type": "null"
            }
         ],
         "description": "Optional filter specification to apply to the dataset"
      },
      "variables": {
         "anyOf": [
            {
               "items": {
                  "type": "string"
               },
               "type": "array"
            },
            {
               "type": "null"
            }
         ],
         "default": [],
         "description": "Subset of variables to extract from the dataset",
         "title": "Variables"
      },
      "coords": {
         "anyOf": [
            {
               "$ref": "#/$defs/DatasetCoords"
            },
            {
               "type": "null"
            }
         ],
         "default": {
            "t": "time",
            "x": "longitude",
            "y": "latitude",
            "z": null,
            "s": null
         },
         "description": "Names of the coordinates in the dataset"
      },
      "crop_data": {
         "default": true,
         "description": "Update crop filters from Grid and Time objects if passed to get method",
         "title": "Crop Data",
         "type": "boolean"
      },
      "buffer": {
         "default": 0.0,
         "description": "Space to buffer the grid bounding box if `filter_grid` is True",
         "title": "Buffer",
         "type": "number"
      },
      "time_buffer": {
         "default": [
            0,
            1
         ],
         "description": "Number of source data timesteps to buffer the time range if `filter_time` is True",
         "items": {
            "type": "integer"
         },
         "title": "Time Buffer",
         "type": "array"
      },
      "data_type": {
         "const": "sflux_prc",
         "default": "sflux_rad",
         "description": "Model type discriminator",
         "title": "Data Type",
         "type": "string"
      },
      "relative_weight": {
         "default": 1.0,
         "description": "relative weight of the source file if two files are provided",
         "title": "Relative Weight",
         "type": "number"
      },
      "max_window_hours": {
         "default": 120.0,
         "description": "maximum number of hours (offset from start time in each file) in each file of set 1",
         "title": "Max Window Hours",
         "type": "number"
      },
      "fail_if_missing": {
         "default": true,
         "description": "Fail if the source file is missing",
         "title": "Fail If Missing",
         "type": "boolean"
      },
      "prate_name": {
         "default": null,
         "description": "name of precipitation rate variable in source",
         "title": "Prate Name",
         "type": "string"
      }
   },
   "$defs": {
      "DatasetCoords": {
         "additionalProperties": false,
         "description": "Coordinates representation.",
         "properties": {
            "t": {
               "anyOf": [
                  {
                     "type": "string"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": "time",
               "description": "Name of the time coordinate",
               "title": "T"
            },
            "x": {
               "anyOf": [
                  {
                     "type": "string"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": "longitude",
               "description": "Name of the x coordinate",
               "title": "X"
            },
            "y": {
               "anyOf": [
                  {
                     "type": "string"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": "latitude",
               "description": "Name of the y coordinate",
               "title": "Y"
            },
            "z": {
               "anyOf": [
                  {
                     "type": "string"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "description": "Name of the z coordinate",
               "title": "Z"
            },
            "s": {
               "anyOf": [
                  {
                     "type": "string"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "description": "Name of the site coordinate",
               "title": "S"
            }
         },
         "title": "DatasetCoords",
         "type": "object"
      },
      "Filter": {
         "additionalProperties": false,
         "properties": {
            "sort": {
               "anyOf": [
                  {
                     "additionalProperties": true,
                     "type": "object"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": {},
               "title": "Sort"
            },
            "subset": {
               "anyOf": [
                  {
                     "additionalProperties": true,
                     "type": "object"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": {},
               "title": "Subset"
            },
            "crop": {
               "anyOf": [
                  {
                     "additionalProperties": true,
                     "type": "object"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": {},
               "title": "Crop"
            },
            "timenorm": {
               "anyOf": [
                  {
                     "additionalProperties": true,
                     "type": "object"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": {},
               "title": "Timenorm"
            },
            "rename": {
               "anyOf": [
                  {
                     "additionalProperties": true,
                     "type": "object"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": {},
               "title": "Rename"
            },
            "derived": {
               "anyOf": [
                  {
                     "additionalProperties": true,
                     "type": "object"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": {},
               "title": "Derived"
            }
         },
         "title": "Filter",
         "type": "object"
      }
   }
}

Fields:

• data_type (Literal['sflux_prc'])

• prate_name (str)

field data_type: Literal['sflux_prc'] = 'sflux_rad'

Model type discriminator

field prate_name: str = None

name of precipitation rate variable in source

model_post_init(context: Any, /) → None

This function is meant to behave like a BaseModel method to initialise private attributes.

It takes context as an argument since that’s what pydantic-core passes when calling it.

Parameters:

• self – The BaseModel instance.

• context – The context.