in-memory-faceted-search
v1.0.1
Published
Builds a faceted search index for a given list of records
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faceted-search
Builds a faceted search index for a given list of records
Example of usage
Refer to sample
const data = require("./sample.json")
const facetedSearch = require("in-memory-faceted-search")
const facets = [
{ name: "Colors", field: "color" },
{ name: "Sizes", field: "size" },
{ name: "Status", field: "active", map: (item) => (item.active ? "Active" : "Disabled") },
{ name: "Ages", field: "age", map: (item) => (item.age > 25 ? "Over 25" : "Under 25") }
]
const tree = facetedSearch({ data, facets })
console.log(JSON.stringify(tree, null, 4))
Output:
{
"count": 100,
"Colors": {
"red": {
"count": 27
},
"blue": {
"count": 25
},
"green": {
"count": 23
},
"brown": {
"count": 25
}
},
"Sizes": {
"big": {
"count": 29
},
"small": {
"count": 34
},
"medium": {
"count": 37
}
},
"Status": {
"Disabled": {
"count": 56
},
"Active": {
"count": 44
}
},
"Ages": {
"Over 25": {
"count": 72
},
"Under 25": {
"count": 28
}
}
}
You can also specify a selection path:
const tree = facetedSearch({ data, facets, selectedPath: ["Status", "Ages"] })
Output:
{
"count": 100,
"Status": {
"Disabled": {
"count": 56,
"Ages": {
"Over 25": {
"count": 40
},
"Under 25": {
"count": 16
}
}
},
"Active": {
"count": 44,
"Ages": {
"Over 25": {
"count": 32
},
"Under 25": {
"count": 12
}
}
}
}
}
You can go deeper by specifying maxLevel
:
const tree = facetedSearch({ data, facets, selectedPath: ["Colors"], maxLevel: 3 })
Output:
{
"count": 100,
"Colors": {
"red": {
"count": 27,
"Sizes": {
"big": {
"count": 4,
"Status": {
"Disabled": {
"count": 2
},
"Active": {
"count": 2
}
},
"Ages": {
"Over 25": {
"count": 4
}
}
},
...
Or even build the full index with all possible combinations
const tree = facetedSearch({ data, facets, maxLevel: Number.MAX_VALUE })
Output is too big