What is the best way to retrieve the overall error status from the Material UI DataGrid?

Question

What is the best way to retrieve the overall error status from the Material UI DataGrid?

I am currently utilizing the Material UI DataGrid element to display information from an EXCEL file. Each Excel document consists of numerous column titles with specific types assigned to them. As an example:

const columns = [
    {
        "field": "uwgroup",
        "headerName": "Group",
        "minWidth": 200,
        "editable": true
    },
    {
        "field": "Amazing column Name ",
        "flex": 1,
        "minWidth": 150,
        "editable": true
    },
    {
        "field": "Building TSI",
        "type": 'number',
        "flex": 1,
        "minWidth": 150,
        "editable": true
    },
    {
        "field": "dev",
        "flex": 1,
        "minWidth": 150,
        "editable": true
    }
]

The column titled Building TSI has been designated as a type number. To highlight error cells, I have integrated the class name invalid using cellClassName, like so:

classnames({
   invalid: !isPositiveNumber(params.value)
})

This implementation successfully enforces the class name and highlights any error cells. However, my current challenge involves counting the total number of error cells. This count is crucial as it dictates whether the grid values can be saved to the database, requiring there to be no errors present within any cells.

To address this issue, I have experimented with several solutions:

Incorporating a state for errorCount and incrementing it each time a class is added. Nevertheless, this approach triggers multiple re-renders and surpasses the memory limit.
Utilizing
```
document.getElementByClassNames('invalid')
```
to determine the length of error cells. However, this method only applies to the items currently rendered on the page, presenting inaccuracies in the count for larger Excel files with pagination.
Exploring the use of the preProcessEditCellProps prop to indicate errors without identifying a way to retrieve the overall count of error cells. The main benefit is restricting users from entering incorrect values.
Experimenting with localStorage, which yields the same limitations as solution number 2 by solely evaluating the currently displayed page's content.

If anyone has encountered a similar scenario, I would greatly appreciate any insights. Having access to the cumulative error cells count would facilitate enabling or disabling the SAVE button accordingly.

One critical aspect to consider is the substantial size of the excel files, averaging between 30-40k rows and 25-40 columns. Managing state for individual cells could lead to performance issues.

Thank you in advance!

javascript material-ui mui-x

Answer 1

Answer №1

Utilizing another property in columns and referencing it prior to exporting for each cell/row can be beneficial.

In this scenario, calling the eligibleForExport function with the columns definition and the actual data as arguments will return a boolean indicating the presence of errors. It can also be modified to tally the number of errors.

const isInvalidBuildingTSI = (value) => !isPositiveNumber(value);

const isPositiveNumber = (num) => num >= 0;

const eligibleForExport = (columns, data) => {
    return !(data.find(row => columns.find(column => row[column.field] 
        && typeof column["isValid"] === "function" && column["isValid"](row[column.field])))
}

const columns = [
    {
        "field": "uwgroup",
        "headerName": "Group",
        "minWidth": 200,
        "editable": true
    },
    {
        "field": "Building TSI",
        "type": 'number',
        "flex": 1,
        "minWidth": 150,
        "editable": true,
        "isValid": isInvalidBuildingTSI,
        "cellClassName": isInvalidBuildingTSI(param.value) ? "invalid" : ""
    }
];

Answer 2

Utilizing another property in columns and referencing it prior to exporting for each cell/row can be beneficial.

In this scenario, calling the eligibleForExport function with the columns definition and the actual data as arguments will return a boolean indicating the presence of errors. It can also be modified to tally the number of errors.

const isInvalidBuildingTSI = (value) => !isPositiveNumber(value);

const isPositiveNumber = (num) => num >= 0;

const eligibleForExport = (columns, data) => {
    return !(data.find(row => columns.find(column => row[column.field] 
        && typeof column["isValid"] === "function" && column["isValid"](row[column.field])))
}

const columns = [
    {
        "field": "uwgroup",
        "headerName": "Group",
        "minWidth": 200,
        "editable": true
    },
    {
        "field": "Building TSI",
        "type": 'number',
        "flex": 1,
        "minWidth": 150,
        "editable": true,
        "isValid": isInvalidBuildingTSI,
        "cellClassName": isInvalidBuildingTSI(param.value) ? "invalid" : ""
    }
];

Answer 3

Answer №2

In case your initial data is consistently valid, a straightforward solution to address your problem would be to refer to the DataGrid documentation regarding client-side validation:

Client-side validation 🔗

To validate the values in the cells, start by incorporating a preProcessEditCellProps callback into the column definition of the specific field needing validation. Once this function is triggered, evaluate the provided value in params.props.value. Subsequently, return a new object containing params.props along with the error attribute set as either true or false. If the error attribute is true, the value will not be committed.
const columns: GridColDef[] = [
  {
    field: 'firstName',
    preProcessEditCellProps: (params: GridEditCellPropsChangeParams) => {
      const hasError = params.props.value.length < 3;
      return { ...params.props, error: hasError };
    },
  },
];

Applying this approach to your situation would entail the following:

const columns = [
    {
        "field": "uwgroup",
        "headerName": "Group",
        "minWidth": 200,
        "editable": true
    },
    {
        "field": "Amazing column Name ",
        "flex": 1,
        "minWidth": 150,
        "editable": true
    },
    {
        "field": "Building TSI",
        "type": 'number',
        "flex": 1,
        "minWidth": 150,
        "editable": true,
        preProcessEditCellProps(params) {
            const invalid = !isPositiveNumber(params.props.value);
            return { ...params.props, error: invalid };
        }
    },
    {
        "field": "dev",
        "flex": 1,
        "minWidth": 150,
        "editable": true
    }
]

An important distinction from your current setup is highlighted here. This validation specifically applies to edits. Therefore, it is essential for the initial data to be valid. The benefit is that you no longer have to utilize

classnames({ invalid: !isPositiveNumber(params.value) })

, and the save button can remain enabled since all applied changes are presumed to be valid.

If there exists a possibility of the initial data being invalid, this may not align with the solution you seek.

Answer 4

In case your initial data is consistently valid, a straightforward solution to address your problem would be to refer to the DataGrid documentation regarding client-side validation:

Client-side validation 🔗

To validate the values in the cells, start by incorporating a preProcessEditCellProps callback into the column definition of the specific field needing validation. Once this function is triggered, evaluate the provided value in params.props.value. Subsequently, return a new object containing params.props along with the error attribute set as either true or false. If the error attribute is true, the value will not be committed.
const columns: GridColDef[] = [
  {
    field: 'firstName',
    preProcessEditCellProps: (params: GridEditCellPropsChangeParams) => {
      const hasError = params.props.value.length < 3;
      return { ...params.props, error: hasError };
    },
  },
];

Applying this approach to your situation would entail the following:

const columns = [
    {
        "field": "uwgroup",
        "headerName": "Group",
        "minWidth": 200,
        "editable": true
    },
    {
        "field": "Amazing column Name ",
        "flex": 1,
        "minWidth": 150,
        "editable": true
    },
    {
        "field": "Building TSI",
        "type": 'number',
        "flex": 1,
        "minWidth": 150,
        "editable": true,
        preProcessEditCellProps(params) {
            const invalid = !isPositiveNumber(params.props.value);
            return { ...params.props, error: invalid };
        }
    },
    {
        "field": "dev",
        "flex": 1,
        "minWidth": 150,
        "editable": true
    }
]

An important distinction from your current setup is highlighted here. This validation specifically applies to edits. Therefore, it is essential for the initial data to be valid. The benefit is that you no longer have to utilize

classnames({ invalid: !isPositiveNumber(params.value) })

, and the save button can remain enabled since all applied changes are presumed to be valid.

If there exists a possibility of the initial data being invalid, this may not align with the solution you seek.

What is the best way to retrieve the overall error status from the Material UI DataGrid?

Answer №1

Answer №2

Client-side validation 🔗

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