// This file is the descriptor for the Custom code recipe patient-cohort
{
    // Meta data for display purposes
    "meta": {
        // label: name of the recipe as displayed, should be short
        "label": "Patient cohort",
        // description: longer string to help end users understand what this recipe does
        "description": "Choose from the columns in the input tables to create your cohort dataset",
        // icon: must be one of the FontAwesome 3.2.1 icons, complete list here at https://fontawesome.com/v3.2.1/icons/
        "icon": "icon-puzzle-piece"
    },

    "kind": "PYTHON",
    "paramsPythonSetup": "select-columns_input1.py",
    "selectableFromDataset": "input_A_role",

    // Inputs and outputs are defined by roles. In the recipe's I/O tab, the user can associate one
    // or more dataset to each input and output role.

    // The "arity" field indicates whether the user can associate several datasets to the role ('NARY')
    // or at most one ('UNARY'). The "required" field indicates whether the user is allowed to
    // associate no dataset with the role.

    "inputRoles": [
        {
            "name": "input_A_role",
            "label": "Fact Rx Table",
            "description": "Claims details",
            "arity": "UNARY",
            "required": true,
            "acceptsDataset": true
        },
         {
            "name": "input_B_role",
            "label": "Product Table",
            "description": "Product details",
            "arity": "UNARY",
            "required": true,
            "acceptsDataset": true
        },
        {
            "name": "input_C_role",
            "label": "Patient Table",
            "description": "Patient details",
            "arity": "UNARY",
            "required": false,
            "acceptsDataset": true
        },
         {
            "name": "input_D_role",
            "label": "Plan Table",
            "description": "Plan details",
            "arity": "UNARY",
            "required": false,
            "acceptsDataset": true
        },
         {
            "name": "input_E_role",
            "label": "Provider Table",
            "description": "Provider details",
            "arity": "UNARY",
            "required": false,
            "acceptsDataset": true
        },
        {
            "name": "input_F_role",
            "label": "Reject Table",
            "description": "Rejection details",
            "arity": "UNARY",
            "required": true,
            "acceptsDataset": true
        },
        {
            "name": "input_H_role",
            "label": "Patient MPD Table",
            "description": "Patient MPD details",
            "arity": "UNARY",
            "required": false,
            "acceptsDataset": true
        },
        {
            "name": "input_G_role",
            "label": "Mx Table",
            "description": "Diagnosis details",
            "arity": "UNARY",
            "required": false,
            "acceptsDataset": true
        }
        // ...
    ],

    "outputRoles": [
        {
            "name": "main_output",
            "label": "main output displayed name",
            "description": "what main output means",
            "arity": "UNARY",
            "required": true,
            "acceptsDataset": true
        }
        // ...
    ],

    /* The field "params" holds a list of all the params
       for wich the user will be prompted for values in the Settings tab of the recipe.

       The available parameter types include:
       STRING, STRINGS, INT, DOUBLE, BOOLEAN, SELECT, MULTISELECT, MAP, TEXTAREA, PRESET, COLUMN, COLUMN

       For the full list and for more details, see the documentation: https://doc.dataiku.com/dss/latest/plugins/reference/params.html
    */
    "params": [
        {
            "name": "Select-Columns_A",
            "label": "Rx table columns",
            "type": "COLUMNS",
            "columnRole":"input_A_role",
            "description": "Selected columns will be joined in a SQL query to create the patient cohort",
            "mandatory": true
        },
        {
            "name": "Select-Columns_B",
            "label": "Product table columns",
            "type": "COLUMNS",
            //"getChoicesFromPython": true,
            "columnRole":"input_B_role",
            "description": "Selected columns will be joined in a SQL query to create the patient cohort",
            "mandatory": true
        },
        {
            "name": "Select-Columns_G",
            "label": "Mx table columns",
            "type": "COLUMNS",
            "columnRole":"input_G_role",
            "description": "Selected columns will be joined in a SQL query to create the patient cohort",
            "mandatory": true
        },
        {
            "name": "Select-Columns_C",
            "label": "Patient table columns",
            "type": "COLUMNS",
            "columnRole":"input_C_role",
            "description": "Selected columns will be joined in a SQL query to create the patient cohort",
            "mandatory": true
        },
        {
            "name": "Select-Columns_D",
            "label": "Plan table columns",
            "type": "COLUMNS",
            "columnRole":"input_D_role",
            "description": "Selected columns will be joined in a SQL query to create the patient cohort",
            "mandatory": true
        },
        {
            "name": "Select-Columns_E",
            "label": "Provider table columns",
            "type": "COLUMNS",
            "columnRole":"input_E_role",
            "description": "Selected columns will be joined in a SQL query to create the patient cohort",
            "mandatory": true
        },
        {
            "name": "Select-Columns_F",
            "label": "Reject table columns",
            "type": "COLUMNS",
            "columnRole":"input_F_role",
            "description": "Selected columns will be joined in a SQL query to create the patient cohort",
            "mandatory": true
        },
        {
            "name": "Select-Columns_H",
            "label": "MPD patient table columns",
            "type": "COLUMNS",
            "columnRole":"input_H_role",
            "description": "Selected columns will be joined in a SQL query to create the patient cohort",
            "mandatory": true
        }
        /*,
        {
            "name": "parameter2",
            "type": "INT",
            "defaultValue": 42
            /* Note that standard json parsing will return it as a double in Python (instead of an int), so you need to write
               int(get_recipe_config()['parameter2'])
            
        },

        // A "SELECT" parameter is a multi-choice selector. Choices are specified using the selectChoice field
        {
            "name": "parameter3",
            "type": "SELECT",
            "selectChoices": [
                {
                    "value": "val_x",
                    "label": "display name for val_x"
                },
                {
                    "value": "val_y",
                    "label": "display name for val_y"
                }
            ]
        },

        // A 'COLUMN' parameter is a string, whose value is a column name from an input schema.
        // To specify the input schema whose column names are used, use the "columnRole" field like below.
        // The column names will come from the schema of the first dataset associated to that role.
        {
            "name": "parameter4",
            "type": "COLUMN",
            "columnRole": "input_B_role"
        }*/

        // The 'COLUMNS' type works in the same way, except that it is a list of strings.
    ],

    // The field "resourceKeys" holds a list of keys that allows to limit the number
    // of concurrent executions and activities triggered by this recipe.
    //
    // Administrators can configure the limit per resource key in the Administration > Settings > Flow build
    // screen.

    "resourceKeys": []

}