// Input
const data = [
  {
    calcFieldValue: 3,
    id: '50346a2e-8421-e811-a2bc-000c29878c3f',
    idFieldValue: null,
    primaryCurrencyCalcFieldValue: 4,
    productFolder: 'Personal',
    productTypeName: 'DDAs',
    fields: [],
    relationshipTypes: [{
        id: '5901e243-db0c-e811-a2ba-000c29878c3f',
        name: 'Primary'
    }]
  },
  {
    calcFieldValue: 3,
    id: '50346a2e-8421-e811-a2bc-000c29878c3f',
    idFieldValue: null,
    primaryCurrencyCalcFieldValue: 4,
    productFolder: 'Personal',
    productTypeName: 'DDAs',
    fields: [],
    relationshipTypes: [{
        id: '5901e243-db0c-e811-a2ba-000c29878c3f',
        name: 'Primary'
    }]
  },
  {
    calcFieldValue: 3,
    id: '50346a2f-8421-e811-a2bc-000c29878c3f',
    idFieldValue: null,
    primaryCurrencyCalcFieldValue: 4,
    productFolder: 'Personal',
    productTypeName: 'DDAs',
    fields: [],
    relationshipTypes: [{
        id: '5901e242-db0c-e811-a2ba-000c29878c3f',
        name: 'Primaries'
    }]
  }
]

/*
TARGET
   [ {
        id: '5901e243-db0c-e811-a2ba-000c29878c3f', // relationshipType.id
        name: 'Primary', // relationshipType.name
        count: 1, // number of products with this relationshipType
        groups: [{
          name: 'Personal', // productFolder
          total: 4, // sum of all product primaryCurrencyCalcFieldValues in this group
          products: [{
            name: 'DDAs', // product type name
            id: '50346a2e-8421-e811-a2bc-000c29878c3f', // product id
            fields: [] // whatever dynamic fields the API gave us
          }]
        }],
    }]
    */

// Given our `data` array, return a productHash
// EXAMPLE:
// [{ id: 1 }] => { 1: { id: 1 } }
const createProductHashFromData = reduce((acc, curr) => ({
  ...acc,
  [curr.id]: curr
}), {})

const createRelationshipHash = reduce((acc, curr) => {
  const { relationshipTypes, id } = curr
  const ids = relationshipTypes.map(pick(['id','name']))
  const newVal = { ...acc }
  ids.forEach(({ id: relId, name }) => {
    if (has(relId, acc)) {
      newVal[relId] = {
        ...newVal[relId],
        list: newVal[relId].list.concat(id)
      }
    } else {
      newVal[relId] = {
        name,
        id,
        list: [id]
      }
    }
  })

  return newVal
}, {})


const productHash = createProductHashFromData(data)
const relationshipHash = createRelationshipHash(data);

// Grabs the id, fields, and productTypeName
// and changes productTypeName key to name
const getProudctForGroup = ({ productTypeName: name, id, fields }) => ({
  id,
  fields,
  name,
})

// Transform a list of Product ( main object in input array )
// into the groups needed per spec
const createGroups = reduce((acc, curr) => {
  // we are calling the productFolder key the groupId
  // because we like it
    const groupId = curr.productFolder
    // If at some point before now we have seen this
    // specific group id
    if (has(groupId, acc)) {
      // We know that we already have some "state" to update
      return ({
        // copy everything previously
        ...acc,
        // and at the key equal to groupId
        [groupId]: {
          // copy over the previous values
          ...acc[groupId],
          // update it's count by adding the correct key
          count: acc[groupId].count + curr.primaryCurrencyCalcFieldValue,
          // and we want to create a new array and add a special form of
          // Product, made for our Group
          products: acc[groupId].products.concat(getProudctForGroup(curr))
        }
      })
    }
    // If we are here, it means that we have never
    // seen this specific groupId
    return ({
      // so we just copy over all the previous "state"
      ...acc,
      // and then set the groupId key
      [groupId]: {
        // to the general structure of our Product
        count: curr.primaryCurrencyCalcFieldValue,
        products: [getProudctForGroup(curr)],
        name: groupId
      }
    })
  }, {})

// Creates the final shape of the `groups` key
// given a previously transformed `relationship`
const getGroupHash = compose(
  values,
  createGroups
)

// This is where we transform the data into our final shape
keys(relationshipHash)
  .map(relId => {
  // we take the relationship from the relationshipHash
  const relationship = prop(relId, relationshipHash)
  // and we create our final relationship shape
  return ({
    id: relId,
    name: relationship.name,
    count: relationship.list.length,
    // We need to transform `groups` after this but
    // we can make that an easier problem by grabbing
    // the value from productHash that is at the key
    // at each index
    //
    // EXAMPLE:
    // productHash = { 'a': { id: 'a' } }
    // ['a'] => [({ id: 'a' })]
    groups: relationship.list.map(flip(prop)(productHash))
  })
})
.map(({ groups, ...rest }) => ({
  // Once we get everything right
  ...rest,
  // we can transform groups for final consumer
  groups: getGroupHash(groups)
}))