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Quiver.test.ts
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Quiver.test.ts
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/**
* @license
* Copyright 2018-2022 Streamlit Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
import { vectorFromArray } from "apache-arrow"
import { cloneDeep } from "lodash"
import { IndexTypeName, Quiver } from "src/lib/Quiver"
import {
// Types
CATEGORICAL,
DATETIME,
FLOAT64,
INT64,
INTERVAL_DATETIME64,
INTERVAL_FLOAT64,
INTERVAL_INT64,
INTERVAL_UINT64,
PERIOD,
RANGE,
UINT64,
UNICODE,
// Special cases
EMPTY,
MULTI,
STYLER,
DISPLAY_VALUES,
FEWER_COLUMNS,
DIFFERENT_COLUMN_TYPES,
} from "src/lib/mocks/arrow"
describe("Quiver", () => {
describe("Public methods", () => {
describe("Without Styler", () => {
const mockElement = { data: UNICODE }
const q = new Quiver(mockElement)
test("cssId", () => {
expect(q.cssId).toBeUndefined()
})
test("cssStyles", () => {
expect(q.cssStyles).toBeUndefined()
})
test("caption", () => {
expect(q.caption).toBeUndefined()
})
test("dimensions", () => {
expect(q.dimensions).toStrictEqual({
headerRows: 1,
headerColumns: 1,
dataRows: 2,
dataColumns: 2,
rows: 3,
columns: 3,
})
})
})
describe("With Styler", () => {
const mockElement = {
data: STYLER,
styler: {
uuid: "FAKE_UUID",
styles: "FAKE_CSS",
displayValues: DISPLAY_VALUES,
caption: "FAKE_CAPTION",
},
}
const q = new Quiver(mockElement)
test("cssId", () => {
expect(q.cssId).toEqual("T_FAKE_UUID")
})
test("cssStyles", () => {
expect(q.cssStyles).toEqual("FAKE_CSS")
})
test("caption", () => {
expect(q.caption).toEqual("FAKE_CAPTION")
})
test("dimensions", () => {
expect(q.dimensions).toStrictEqual({
headerRows: 1,
headerColumns: 1,
dataRows: 2,
dataColumns: 2,
rows: 3,
columns: 3,
})
})
})
describe("getCell", () => {
const mockElement = { data: UNICODE }
const q = new Quiver(mockElement)
test("blank cell", () => {
expect(q.getCell(0, 0)).toStrictEqual({
type: "blank",
cssClass: "blank",
content: "",
})
})
test("index cell", () => {
expect(q.getCell(1, 0)).toStrictEqual({
type: "index",
cssClass: "row_heading level0 row0",
cssId: undefined,
content: "i1",
contentType: {
pandas_type: IndexTypeName.UnicodeIndex,
numpy_type: "object",
meta: null,
},
})
})
test("columns cell", () => {
expect(q.getCell(0, 1)).toStrictEqual({
type: "columns",
cssClass: "col_heading level0 col0",
content: "c1",
contentType: {
pandas_type: "unicode",
numpy_type: "object",
},
})
})
test("data cell", () => {
expect(q.getCell(1, 2)).toStrictEqual({
type: "data",
cssClass: "data row0 col1",
cssId: undefined,
content: "1",
contentType: {
pandas_type: "unicode",
numpy_type: "object",
meta: null,
},
displayContent: undefined,
})
})
it("throws an exception if row index is out of range", () => {
expect(() => q.getCell(5, 0)).toThrow("Row index is out of range.")
})
it("throws an exception if column index is out of range", () => {
expect(() => q.getCell(0, 5)).toThrow("Column index is out of range.")
})
})
describe("getTypeName", () => {
describe("uses numpy_type", () => {
test("period", () => {
const mockElement = { data: PERIOD }
const q = new Quiver(mockElement)
const indexType = q.types.index[0]
expect(Quiver.getTypeName(indexType)).toEqual("period[Q-DEC]")
})
test("interval datetime64[ns]", () => {
const mockElement = { data: INTERVAL_DATETIME64 }
const q = new Quiver(mockElement)
const indexType = q.types.index[0]
expect(Quiver.getTypeName(indexType)).toEqual(
"interval[datetime64[ns], right]"
)
})
test("interval float64", () => {
const mockElement = { data: INTERVAL_FLOAT64 }
const q = new Quiver(mockElement)
const indexType = q.types.index[0]
expect(Quiver.getTypeName(indexType)).toEqual(
"interval[float64, right]"
)
})
test("interval int64", () => {
const mockElement = { data: INTERVAL_INT64 }
const q = new Quiver(mockElement)
const indexType = q.types.index[0]
expect(Quiver.getTypeName(indexType)).toEqual(
"interval[int64, right]"
)
})
test("interval uint64", () => {
const mockElement = { data: INTERVAL_UINT64 }
const q = new Quiver(mockElement)
const indexType = q.types.index[0]
expect(Quiver.getTypeName(indexType)).toEqual(
"interval[uint64, right]"
)
})
})
describe("uses pandas_type", () => {
test("categorical", () => {
const mockElement = { data: CATEGORICAL }
const q = new Quiver(mockElement)
const indexType = q.types.index[0]
expect(Quiver.getTypeName(indexType)).toEqual(
IndexTypeName.CategoricalIndex
)
})
test("datetime", () => {
const mockElement = { data: DATETIME }
const q = new Quiver(mockElement)
const indexType = q.types.index[0]
expect(Quiver.getTypeName(indexType)).toEqual(
IndexTypeName.DatetimeIndex
)
})
test("float64", () => {
const mockElement = { data: FLOAT64 }
const q = new Quiver(mockElement)
const indexType = q.types.index[0]
expect(Quiver.getTypeName(indexType)).toEqual(
IndexTypeName.Float64Index
)
})
test("int64", () => {
const mockElement = { data: INT64 }
const q = new Quiver(mockElement)
const indexType = q.types.index[0]
expect(Quiver.getTypeName(indexType)).toEqual(
IndexTypeName.Int64Index
)
})
test("range", () => {
const mockElement = { data: RANGE }
const q = new Quiver(mockElement)
const indexType = q.types.index[0]
expect(Quiver.getTypeName(indexType)).toEqual(
IndexTypeName.RangeIndex
)
})
test("uint64", () => {
const mockElement = { data: UINT64 }
const q = new Quiver(mockElement)
const indexType = q.types.index[0]
expect(Quiver.getTypeName(indexType)).toEqual(
IndexTypeName.UInt64Index
)
})
test("unicode", () => {
const mockElement = { data: UNICODE }
const q = new Quiver(mockElement)
const indexType = q.types.index[0]
expect(Quiver.getTypeName(indexType)).toEqual(
IndexTypeName.UnicodeIndex
)
})
})
})
describe("format", () => {
test("null", () => {
expect(Quiver.format(null)).toEqual("<NA>")
})
test("string", () => {
expect(Quiver.format("foo")).toEqual("foo")
})
test("boolean", () => {
expect(Quiver.format(true)).toEqual("true")
})
test("float64", () => {
expect(
Quiver.format(1.25, {
pandas_type: "float64",
numpy_type: "float64",
})
).toEqual("1.2500")
})
test("int64", () => {
const mockElement = { data: INT64 }
const q = new Quiver(mockElement)
const { content } = q.getCell(1, 2)
expect(
Quiver.format(content, {
pandas_type: "int64",
numpy_type: "int64",
})
).toEqual("1")
})
test("uint64", () => {
const mockElement = { data: UINT64 }
const q = new Quiver(mockElement)
const { content } = q.getCell(1, 2)
expect(
Quiver.format(content, {
pandas_type: "uint64",
numpy_type: "uint64",
})
).toEqual("2")
})
test("bytes", () => {
expect(
Quiver.format(new Uint8Array([1, 2, 3]), {
pandas_type: "bytes",
numpy_type: "bytes",
})
).toEqual("1,2,3")
})
test("date", () => {
expect(
Quiver.format(new Date(1970, 0, 1), {
pandas_type: "date",
numpy_type: "object",
})
).toEqual("1970-01-01")
})
test("datetime", () => {
expect(
Quiver.format(0, {
pandas_type: "datetime",
numpy_type: "datetime64[ns]",
})
).toEqual("1970-01-01T00:00:00")
})
test("datetimetz", () => {
expect(
Quiver.format(0, {
pandas_type: "datetimetz",
numpy_type: "datetime64[ns]",
meta: { timezone: "Europe/Moscow" },
})
).toEqual("1970-01-01T03:00:00+03:00")
})
test("datetimetz with offset", () => {
expect(
Quiver.format(0, {
pandas_type: "datetimetz",
numpy_type: "datetime64[ns]",
meta: { timezone: "+01:00" },
})
).toEqual("1970-01-01T01:00:00+01:00")
})
test("interval datetime64[ns]", () => {
const mockElement = { data: INTERVAL_DATETIME64 }
const q = new Quiver(mockElement)
const { content } = q.getCell(1, 0)
expect(
Quiver.format(content, {
pandas_type: "object",
numpy_type: "interval[datetime64[ns], right]",
})
).toEqual("(2017-01-01T00:00:00, 2017-01-02T00:00:00]")
})
test("interval float64", () => {
const mockElement = { data: INTERVAL_FLOAT64 }
const q = new Quiver(mockElement)
const { content } = q.getCell(1, 0)
expect(
Quiver.format(content, {
pandas_type: "object",
numpy_type: "interval[float64, right]",
})
).toEqual("(0.0000, 1.5000]")
})
test("interval int64", () => {
const mockElement = { data: INTERVAL_INT64 }
const q = new Quiver(mockElement)
const { content } = q.getCell(1, 0)
expect(
Quiver.format(content, {
pandas_type: "object",
numpy_type: "interval[int64, right]",
})
).toEqual("(0, 1]")
})
test("interval uint64", () => {
const mockElement = { data: INTERVAL_UINT64 }
const q = new Quiver(mockElement)
const { content } = q.getCell(1, 0)
expect(
Quiver.format(content, {
pandas_type: "object",
numpy_type: "interval[uint64, right]",
})
).toEqual("(0, 1]")
})
test("invalid interval type", () => {
const mockElement = { data: INTERVAL_INT64 }
const INVALID_TYPE = "interval"
const q = new Quiver(mockElement)
const { content } = q.getCell(1, 0)
expect(() =>
Quiver.format(content, {
pandas_type: "object",
numpy_type: INVALID_TYPE,
})
).toThrow("Invalid interval type.")
})
test("list[unicode]", () => {
expect(
Quiver.format(vectorFromArray(["foo", "bar", "baz"]), {
pandas_type: "list[unicode]",
numpy_type: "object",
})
).toEqual('["foo","bar","baz"]')
})
})
describe("isEmpty", () => {
it("returns true if a DataFrame is empty", () => {
const mockElement = { data: EMPTY }
const q = new Quiver(mockElement)
expect(q.isEmpty()).toBe(true)
})
it("returns false if a DataFrame is not empty", () => {
const mockElement = { data: UNICODE }
const q = new Quiver(mockElement)
expect(q.isEmpty()).toBe(false)
})
})
})
describe("Display", () => {
describe("Pandas index types", () => {
test("categorical", () => {
const mockElement = { data: CATEGORICAL }
const q = new Quiver(mockElement)
expect(q.index).toEqual([vectorFromArray(["i1", "i2"])])
expect(q.columns).toEqual([["c1", "c2"]])
expect(q.data.toArray().map(a => a?.toArray())).toEqual([
["foo", BigInt(100)],
["bar", BigInt(200)],
])
expect(q.types).toEqual({
index: [
{
pandas_type: IndexTypeName.CategoricalIndex,
numpy_type: "int8",
meta: {
num_categories: 3,
ordered: false,
},
},
],
data: [
{
pandas_type: "unicode",
numpy_type: "object",
meta: null,
},
{
pandas_type: "int64",
numpy_type: "int64",
meta: null,
},
],
})
})
test("datetime", () => {
const mockElement = { data: DATETIME }
const q = new Quiver(mockElement)
expect(q.index).toEqual([
vectorFromArray([978220800000, 1009756800000]),
])
expect(q.columns).toEqual([
["2000-12-31 00:00:00", "2001-12-31 00:00:00"],
])
expect(q.data.toArray().map(a => a?.toArray())).toEqual([
[
new Date("2020-01-02T00:00:00.000Z"),
new Date("2020-10-20T00:00:00.000Z"),
],
[
new Date("2020-01-02T00:00:00.000Z"),
new Date("2020-10-20T00:00:00.000Z"),
],
])
expect(q.types).toEqual({
index: [
{
pandas_type: IndexTypeName.DatetimeIndex,
numpy_type: "datetime64[ns]",
meta: null,
},
],
data: [
{
pandas_type: "date",
numpy_type: "object",
meta: null,
},
{
pandas_type: "date",
numpy_type: "object",
meta: null,
},
],
})
})
test("float64", () => {
const mockElement = { data: FLOAT64 }
const q = new Quiver(mockElement)
expect(q.index).toEqual([vectorFromArray([1.24, 2.35])])
expect(q.columns).toEqual([["1.24", "2.35"]])
expect(q.data.toArray().map(a => a?.toArray())).toEqual([
[1.2, 1.3],
[1.4, 1.5],
])
expect(q.types).toEqual({
index: [
{
pandas_type: IndexTypeName.Float64Index,
numpy_type: IndexTypeName.Float64Index,
meta: null,
},
],
data: [
{
pandas_type: "float64",
numpy_type: "float64",
meta: null,
},
{
pandas_type: "float64",
numpy_type: "float64",
meta: null,
},
],
})
})
test("int64", () => {
const mockElement = { data: INT64 }
const q = new Quiver(mockElement)
expect(q.index).toEqual([vectorFromArray([BigInt(1), BigInt(2)])])
expect(q.columns).toEqual([["1", "2"]])
expect(q.data.toArray().map(a => a?.toArray())).toEqual([
[BigInt(0), BigInt(1)],
[BigInt(2), BigInt(3)],
])
expect(q.types).toEqual({
index: [
{
pandas_type: IndexTypeName.Int64Index,
numpy_type: IndexTypeName.Int64Index,
meta: null,
},
],
data: [
{
pandas_type: "int64",
numpy_type: "int64",
meta: null,
},
{
pandas_type: "int64",
numpy_type: "int64",
meta: null,
},
],
})
})
test("interval datetime64[ns]", () => {
const mockElement = { data: INTERVAL_DATETIME64 }
const q = new Quiver(mockElement)
expect(q.index.toString()).toEqual(
'[{"left": 1483228800000, "right": 1483315200000},{"left": 1483315200000, "right": 1483401600000}]'
)
expect(q.columns).toEqual([
["(2017-01-01, 2017-01-02]", "(2017-01-02, 2017-01-03]"],
])
expect(q.data.toArray().map(a => a?.toArray())).toEqual([
["foo", BigInt(100)],
["bar", BigInt(200)],
])
expect(q.types).toEqual({
index: [
{
pandas_type: "object",
numpy_type: "interval[datetime64[ns], right]",
meta: null,
},
],
data: [
{
pandas_type: "unicode",
numpy_type: "object",
meta: null,
},
{
pandas_type: "int64",
numpy_type: "int64",
meta: null,
},
],
})
})
test("interval float64", () => {
const mockElement = { data: INTERVAL_FLOAT64 }
const q = new Quiver(mockElement)
expect(q.index.toString()).toEqual(
'[{"left": 0, "right": 1.5},{"left": 1.5, "right": 3}]'
)
expect(q.columns).toEqual([["(0.0, 1.5]", "(1.5, 3.0]"]])
expect(q.data.toArray().map(a => a?.toArray())).toEqual([
["foo", BigInt(100)],
["bar", BigInt(200)],
])
expect(q.types).toEqual({
index: [
{
pandas_type: "object",
numpy_type: "interval[float64, right]",
meta: null,
},
],
data: [
{
pandas_type: "unicode",
numpy_type: "object",
meta: null,
},
{
pandas_type: "int64",
numpy_type: "int64",
meta: null,
},
],
})
})
test("interval int64", () => {
const mockElement = { data: INTERVAL_INT64 }
const q = new Quiver(mockElement)
expect(q.index.toString()).toEqual(
'[{"left": 0, "right": 1},{"left": 1, "right": 2}]'
)
expect(q.columns).toEqual([["(0, 1]", "(1, 2]"]])
expect(q.data.toArray().map(a => a?.toArray())).toEqual([
["foo", BigInt(100)],
["bar", BigInt(200)],
])
expect(q.types).toEqual({
index: [
{
pandas_type: "object",
numpy_type: "interval[int64, right]",
meta: null,
},
],
data: [
{
pandas_type: "unicode",
numpy_type: "object",
meta: null,
},
{
pandas_type: "int64",
numpy_type: "int64",
meta: null,
},
],
})
})
test("interval uint64", () => {
const mockElement = { data: INTERVAL_UINT64 }
const q = new Quiver(mockElement)
expect(q.index.toString()).toEqual(
'[{"left": 0, "right": 1},{"left": 1, "right": 2}]'
)
expect(q.columns).toEqual([["(0, 1]", "(1, 2]"]])
expect(q.data.toArray().map(a => a?.toArray())).toEqual([
["foo", BigInt(100)],
["bar", BigInt(200)],
])
expect(q.types).toEqual({
index: [
{
pandas_type: "object",
numpy_type: "interval[uint64, right]",
meta: null,
},
],
data: [
{
pandas_type: "unicode",
numpy_type: "object",
meta: null,
},
{
pandas_type: "int64",
numpy_type: "int64",
meta: null,
},
],
})
})
test("range", () => {
const mockElement = { data: RANGE }
const q = new Quiver(mockElement)
expect(q.index).toEqual([[0, 1]])
expect(q.columns).toEqual([["0", "1"]])
expect(q.data.toArray().map(a => a?.toArray())).toEqual([
["foo", "1"],
["bar", "2"],
])
expect(q.types).toEqual({
index: [
{
pandas_type: IndexTypeName.RangeIndex,
numpy_type: IndexTypeName.RangeIndex,
meta: {
start: 0,
step: 1,
stop: 2,
kind: "range",
name: null,
},
},
],
data: [
{
pandas_type: "unicode",
numpy_type: "object",
meta: null,
},
{
pandas_type: "unicode",
numpy_type: "object",
meta: null,
},
],
})
})
test("uint64", () => {
const mockElement = { data: UINT64 }
const q = new Quiver(mockElement)
expect(q.index).toEqual([vectorFromArray([BigInt(1), BigInt(2)])])
expect(q.columns).toEqual([["1", "2"]])
expect(q.data.toArray().map(a => a?.toArray())).toEqual([
[BigInt(1), BigInt(2)],
[BigInt(3), BigInt(4)],
])
expect(q.types).toEqual({
index: [
{
pandas_type: IndexTypeName.UInt64Index,
numpy_type: IndexTypeName.UInt64Index,
meta: null,
},
],
data: [
{
pandas_type: "int64",
numpy_type: "int64",
meta: null,
},
{
pandas_type: "int64",
numpy_type: "int64",
meta: null,
},
],
})
})
test("unicode", () => {
const mockElement = { data: UNICODE }
const q = new Quiver(mockElement)
expect(q.index).toEqual([vectorFromArray(["i1", "i2"])])
expect(q.columns).toEqual([["c1", "c2"]])
expect(q.data.toArray().map(a => a?.toArray())).toEqual([
["foo", "1"],
["bar", "2"],
])
expect(q.types).toEqual({
index: [
{
pandas_type: IndexTypeName.UnicodeIndex,
numpy_type: "object",
meta: null,
},
],
data: [
{
pandas_type: "unicode",
numpy_type: "object",
meta: null,
},
{
pandas_type: "unicode",
numpy_type: "object",
meta: null,
},
],
})
})
})
describe("Special cases", () => {
test("empty", () => {
const mockElement = { data: EMPTY }
const q = new Quiver(mockElement)
expect(q.dimensions).toStrictEqual({
headerRows: 1,
headerColumns: 1,
dataRows: 0,
dataColumns: 0,
rows: 1,
columns: 1,
})
expect(q.index).toEqual([])
expect(q.columns).toEqual([])
expect(q.data.toArray()).toEqual([])
expect(q.types).toEqual({
index: [{ pandas_type: "empty", numpy_type: "object", meta: null }],
data: [],
})
})
test("multi-index", () => {
const mockElement = { data: MULTI }
const q = new Quiver(mockElement)
expect(q.index).toEqual([
vectorFromArray([BigInt(1), BigInt(2)]),
vectorFromArray(["red", "blue"]),
])
expect(q.columns).toEqual([
["1", "2"],
["red", "blue"],
])
expect(q.data.toArray().map(a => a?.toArray())).toEqual([
["foo", "1"],
["bar", "2"],
])
expect(q.types).toEqual({
index: [
{
pandas_type: IndexTypeName.Int64Index,
numpy_type: "int64",
meta: null,
},
{
pandas_type: IndexTypeName.UnicodeIndex,
numpy_type: "object",
meta: null,
},
],
data: [
{
pandas_type: "unicode",
numpy_type: "object",
meta: null,
},
{
pandas_type: "unicode",
numpy_type: "object",
meta: null,
},
],
})
})
test("styler", () => {
const mockElement = {
data: STYLER,
styler: {
uuid: "FAKE_UUID",
styles: "FAKE_CSS",
caption: "FAKE_CAPTION",
displayValues: DISPLAY_VALUES,
},
}
const q = new Quiver(mockElement)
expect(q.index).toEqual([[0, 1]])
expect(q.columns).toEqual([["0", "1"]])
expect(q.data.toArray().map(a => a?.toArray())).toEqual([
[BigInt(1), BigInt(2)],
[BigInt(3), BigInt(4)],
])
expect(q.types).toEqual({
index: [
{
pandas_type: IndexTypeName.RangeIndex,
numpy_type: IndexTypeName.RangeIndex,
meta: {
start: 0,
step: 1,
stop: 2,
kind: "range",
name: null,
},
},
],
data: [
{
pandas_type: "int64",
numpy_type: "int64",
meta: null,
},
{
pandas_type: "int64",
numpy_type: "int64",
meta: null,
},
],
})
// Check display values.
expect(q.getCell(1, 1).displayContent).toEqual("1")
expect(q.getCell(1, 2).displayContent).toEqual("2")
expect(q.getCell(2, 1).displayContent).toEqual("3")
expect(q.getCell(2, 2).displayContent).toEqual("4")
})
})
})