mirror of
https://github.com/hay-kot/homebox.git
synced 2024-12-25 00:06:31 +00:00
d6da63187b
* add date format and orDefault helpers * introduce new statistics calculations queries * rework statistics endpoints * code generation * fix styles on photo card * label and location aggregation endpoints * code-gen * cleanup parser and defaults * remove debug point * setup E2E Testing * linters * formatting * fmt plus name support on time series data * code gen
142 lines
4.1 KiB
TypeScript
142 lines
4.1 KiB
TypeScript
import { faker } from "@faker-js/faker";
|
|
import { beforeAll, describe, expect, test } from "vitest";
|
|
import { UserClient } from "../../user";
|
|
import { factories } from "../factories";
|
|
|
|
type ImportObj = {
|
|
ImportRef: string;
|
|
Location: string;
|
|
Labels: string;
|
|
Quantity: string;
|
|
Name: string;
|
|
Description: string;
|
|
Insured: boolean;
|
|
SerialNumber: string;
|
|
ModelNumber: string;
|
|
Manufacturer: string;
|
|
Notes: string;
|
|
PurchaseFrom: string;
|
|
PurchasedPrice: number;
|
|
PurchasedTime: string;
|
|
LifetimeWarranty: boolean;
|
|
WarrantyExpires: string;
|
|
WarrantyDetails: string;
|
|
SoldTo: string;
|
|
SoldPrice: number;
|
|
SoldTime: string;
|
|
SoldNotes: string;
|
|
};
|
|
|
|
function toCsv(data: ImportObj[]): string {
|
|
const headers = Object.keys(data[0]).join("\t");
|
|
const rows = data.map(row => {
|
|
return Object.values(row).join("\t");
|
|
});
|
|
return [headers, ...rows].join("\n");
|
|
}
|
|
|
|
function importFileGenerator(entries: number): ImportObj[] {
|
|
const imports: ImportObj[] = [];
|
|
|
|
const pick = (arr: string[]) => arr[Math.floor(Math.random() * arr.length)];
|
|
|
|
const labels = faker.random.words(5).split(" ").join(";");
|
|
const locations = faker.random.words(3).split(" ");
|
|
|
|
const half = Math.floor(entries / 2);
|
|
|
|
for (let i = 0; i < entries; i++) {
|
|
imports.push({
|
|
ImportRef: faker.database.mongodbObjectId(),
|
|
Location: pick(locations),
|
|
Labels: labels,
|
|
Quantity: faker.random.numeric(1),
|
|
Name: faker.random.words(3),
|
|
Description: "",
|
|
Insured: faker.datatype.boolean(),
|
|
SerialNumber: faker.random.alphaNumeric(5),
|
|
ModelNumber: faker.random.alphaNumeric(5),
|
|
Manufacturer: faker.random.alphaNumeric(5),
|
|
Notes: "",
|
|
PurchaseFrom: faker.name.fullName(),
|
|
PurchasedPrice: faker.datatype.number(100),
|
|
PurchasedTime: faker.date.past().toDateString(),
|
|
LifetimeWarranty: half > i,
|
|
WarrantyExpires: faker.date.future().toDateString(),
|
|
WarrantyDetails: "",
|
|
SoldTo: faker.name.fullName(),
|
|
SoldPrice: faker.datatype.number(100),
|
|
SoldTime: faker.date.past().toDateString(),
|
|
SoldNotes: "",
|
|
});
|
|
}
|
|
|
|
return imports;
|
|
}
|
|
|
|
describe("group related statistics tests", () => {
|
|
const TOTAL_ITEMS = 30;
|
|
|
|
let api: UserClient | undefined;
|
|
const imports = importFileGenerator(TOTAL_ITEMS);
|
|
|
|
beforeAll(async () => {
|
|
// -- Setup --
|
|
const { client } = await factories.client.singleUse();
|
|
api = client;
|
|
|
|
const csv = toCsv(imports);
|
|
|
|
const setupResp = await client.items.import(new Blob([csv], { type: "text/csv" }));
|
|
|
|
expect(setupResp.status).toBe(204);
|
|
});
|
|
|
|
// Write to file system for debugging
|
|
// fs.writeFileSync("test.csv", csv);
|
|
test("Validate Group Statistics", async () => {
|
|
const { status, data } = await api.stats.group();
|
|
expect(status).toBe(200);
|
|
|
|
expect(data.totalItems).toEqual(TOTAL_ITEMS);
|
|
expect(data.totalLabels).toEqual(11); // default + new
|
|
expect(data.totalLocations).toEqual(11); // default + new
|
|
expect(data.totalUsers).toEqual(1);
|
|
expect(data.totalWithWarranty).toEqual(Math.floor(TOTAL_ITEMS / 2));
|
|
});
|
|
|
|
const labelData: Record<string, number> = {};
|
|
const locationData: Record<string, number> = {};
|
|
|
|
for (const item of imports) {
|
|
for (const label of item.Labels.split(";")) {
|
|
labelData[label] = (labelData[label] || 0) + item.PurchasedPrice;
|
|
}
|
|
|
|
locationData[item.Location] = (locationData[item.Location] || 0) + item.PurchasedPrice;
|
|
}
|
|
|
|
test("Validate Labels Statistics", async () => {
|
|
const { status, data } = await api.stats.labels();
|
|
expect(status).toBe(200);
|
|
|
|
for (const label of data) {
|
|
expect(label.total).toEqual(labelData[label.name]);
|
|
}
|
|
});
|
|
|
|
test("Validate Locations Statistics", async () => {
|
|
const { status, data } = await api.stats.locations();
|
|
expect(status).toBe(200);
|
|
|
|
for (const location of data) {
|
|
expect(location.total).toEqual(locationData[location.name]);
|
|
}
|
|
});
|
|
|
|
test("Validate Purchase Over Time", async () => {
|
|
const { status, data } = await api.stats.totalPriceOverTime();
|
|
expect(status).toBe(200);
|
|
expect(data.entries.length).toEqual(TOTAL_ITEMS);
|
|
});
|
|
});
|