Ramda in Typescript has unexpectedly encountered an error

While building my project (reactjs starter + typescript) on production, I encountered this TypeScript error:

TypeScript error: Argument of type '<T>(list: readonly Record<"dataField", T>[]) => T[]' is not assignable to parameter...
  Types of parameters 'list' and 'x' are incompatible.
    Type 'K extends readonly (infer U)[] ? U[] : K extends Dictionary<infer U> ? Dictionary<U> : never' is not assignable...
      Type '(K extends Dictionary<infer U> ? Dictionary<U> : never) | {}[]' is not assignable to type 'readonly Record<"dataField", ...
        Type 'K extends Dictionary<infer U> ? Dictionary<U> : never' is not assignable to type 'readonly Record<"dataField", ...
          Type 'Dictionary<{}>' is missing the following properties from type 'readonly Record<"dataField", {}>[]': length, concat,...
            Type 'Dictionary<any>' is not assignable to type 'readonly Record<"dataField", {}>[]'.
              Type 'any[] | Dictionary<any>' is not assignable to type 'readonly Record<"dataField", {}>[]'.
                Type 'Dictionary<any>' is missing the following properties from type 'readonly Record<"dataField", {}>[]': lengt...

    261 | export const getColumnsToGroup = R.pipe(
    262 |   R.filter(R.propEq('summarize', false)),
  > 263 |   R.map(R.prop('dataField'))
        |   ^
    264 | );
    265 |
    266 | export const groupBimInstances = (columnsToGroup: IBootstrapTableColumnConfig[]) => R.pipe(

This error did not occur on my development machine. It suddenly appeared today during deployment.

I'm unsure about what it means or how to resolve it. Any suggestions?

Answer №1

this solution is perfect for me...

interface Item {
  show: boolean;
  fieldData: string;
}

const bar = R.pipe<Item[], Item[], string[]>(
  R.filter(R.propEq('show', false)),
  R.pluck('fieldData'),
);

bar([
  { show: false, fieldData: 'hello moon' },
  { show: true, fieldData: 'hello stars' },
  { show: true, fieldData: 'hello galaxies' },
]);
  • remember that R.map(R.prop('dataField')) is the same as R.pluck('dataField')
  • if you don't specify types for R.pipe, the output will be unknown[].

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