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How to use the lensPath function from ramda

Find comprehensive JavaScript ramda.lensPath code examples handpicked from public code repositorys.

ramda.lensPath is a function in the Ramda library that creates a lens focusing on a nested property of an object, specified by a path of keys.

bench.js

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  l_x,
  l_0,
  l_y
)
const f_0_x_0_y = L.toFunction([0, 'x', 0, 'y'])
const l_0x0y = R.lensPath([0, 'x', 0, 'y'])
const l_xyz = R.lensPath(['x', 'y', 'z'])
const f_xyz = L.toFunction(['x', 'y', 'z'])
const l_x_y_z = R.compose(
  l_x,

901

+ 7 other calls in file

helper.js

GitHub: alexa/ask-cli

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    response,
  );
}
if (response[CONSTANTS.HOSTED_SKILL.RESOURCES.INTERACTION_MODEL]) {
  statusTracker.hostedSkillProvisioning = R.view(
    R.lensPath([CONSTANTS.HOSTED_SKILL.RESOURCES.PROVISIONING, "lastUpdateRequest", "status"]),
    response,
  );
}
return (

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How does ramda.lensPath work?

ramda.lensPath is a function in the Ramda library that takes a list of properties and returns a lens that focuses on the value at that property path. In more detail, a lens is an object that provides a way to access, view, and modify a portion of a larger data structure, without affecting the rest of the data structure. In the case of lensPath, it creates a lens that targets a specific property path within an object. This lens can then be used with other Ramda functions to perform various operations on the targeted value, such as getting or setting its value.

applyFundingOrderDataSlippage.js

GitHub: rhinofi/client-js

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// Reduce LP tokens
// In both cases, amountBuy for each order will be reduced
const { orders } = validatedData
const ordersPostSlippage = R.map(
  R.over(
    R.lensPath(amountBuyPath),
    reduceBySlippage(slippage)
  )
)(orders)

README.md?plain=1

GitHub: brucou/functional-rose-tree

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function isCompoundState(graphObj){
  return graphObj['@_yfiles.foldertype']==='group'
}

const atomicStateLens = lensPath(['y:ShapeNode', 'y:NodeLabel', '#text']);
const compoundStateLens = lensPath(['y:ProxyAutoBoundsNode', 'y:Realizers', 'y:GroupNode', 'y:NodeLabel', '#text']);

const getLabel = graphObj => {
  const graphData = graphObj.data;
  const lens = isCompoundState(graphObj) ? compoundStateLens : atomicStateLens;

+ 3 other calls in file

Ai Example

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const R = require("ramda");

const data = {
  id: 1,
  name: "John Doe",
  address: {
    city: "New York",
    zip: "10001",
  },
};

const lens = R.lensPath(["address", "zip"]);

const result = R.view(lens, data);

console.log(result); // Output: '10001'

In this example, we use ramda.lensPath to create a lens that focuses on the zip property inside the nested address object of a given data object. We then use the R.view function to extract the value of this property from the data object. The output of this code is '10001', the value of the zip property.

plugins.js

GitHub: Morozzko/React_Blank_App

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const editWebpackPlugin = curry((transform, constructorName, config) =>
  injectPluginIndex(
    constructorName,
    i => {
      const pluginLens = lensPath(['plugins', i])


      return over(pluginLens, transform, config)
    },
    config

+ 3 other calls in file

ramda.js

GitHub: corporatepiyush/es6

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_.view(headLens, ['a', 'b', 'c']) //=> 'a'
_.set(headLens, 'x', ['a', 'b', 'c']) //=> ['x', 'b', 'c']
_.over(headLens, _.toUpper, ['a', 'b', 'c']) //=> ['A', 'b', 'c']


const xHeadYLens = _.lensPath(['x', 0, 'y'])

_.view(xHeadYLens, {
    x: [{
        y: 2,

index.js

GitHub: jameswillett/stems-kml-2-geojson

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R.ifElse(
  () => process.argv[2] === 'true',
  R.identity,
  R.map(
    R.over(
      R.lensPath(['geometry','coordinates']),
      R.map(R.map(R.take(2)))
    )
  ),
),

source-data.js

GitHub: WarrenLee19/json-config-renderer

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}


function filesToTreeStructure(files, sources) {
  const cleanedSources = sources.map(source => source.replace(/^\.?(?:\\|\/)/, ''));
  const filesTree = files.reduce((subFilesTree, filename) => {
    const propLens = R.lensPath(getPropPath(filename, cleanedSources));
    return R.set(propLens, filename, subFilesTree);
  }, {});
  return filesTree;
}

+ 2 other calls in file

cyclejs-audio-driver.js

GitHub: jemmyw/cyclejs-audio-driver

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* @param {Array} path The path to use.
* @return {Lens}
* @see R.view, R.set, R.over
* @example
*
*      var xyLens = R.lensPath(['x', 'y']);
*
*      R.view(xyLens, {x: {y: 2, z: 3}});            //=> 2
*      R.set(xyLens, 4, {x: {y: 2, z: 3}});          //=> {x: {y: 4, z: 3}}
*      R.over(xyLens, R.negate, {x: {y: 2, z: 3}});  //=> {x: {y: -2, z: 3}}

+ 17 other calls in file

bundle.js

GitHub: Gaoey/canvas-vertice-google-detected-text

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* @param {Array} path The path to use.
* @return {Lens}
* @see R.view, R.set, R.over
* @example
*
*      const xHeadYLens = R.lensPath(['x', 0, 'y']);
*
*      R.view(xHeadYLens, {x: [{y: 2, z: 3}, {y: 4, z: 5}]});
*      //=> 2
*      R.set(xHeadYLens, 1, {x: [{y: 2, z: 3}, {y: 4, z: 5}]});

+ 3 other calls in file

index.js

GitHub: rolfst/strapi-fp

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// status = unpublished
const unpublishedMatch = [{ status: { $eq: 'unpublished' } }]


// status = published, startDate gte now
const upcomingMatch = [{ start_date: { $gte: null } }, { end_date: { $gte: null } }, { status: { $eq: 'published' } }]
const startDateLens = R.lensPath([0, 'start_date'])
const endDateLens = R.lensPath([1, 'end_date'])


const pointCut = curry((key, value) => assign({ [key]: value }))
const gte = pointCut('$gte')

+ 5 other calls in file

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