2024-12-13 23:11:25 +00:00
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import { paginated } from "#core:utils/api";
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import { csv } from "#core:utils/csv";
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2024-12-13 23:10:34 +00:00
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import { History, getCurrentUrlParams, updateQueryString } from "#core:utils/history";
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2024-12-13 23:11:25 +00:00
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import type { NestedKeyOf } from "#core:utils/types";
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import { showSaveFilePicker } from "native-file-system-adapter";
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2024-12-21 01:13:37 +00:00
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import type TomSelect from "tom-select";
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import {
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type ProductSchema,
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type ProductSearchProductsDetailedData,
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productSearchProductsDetailed,
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} from "#openapi";
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type ProductType = string;
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type GroupedProducts = Record<ProductType, ProductSchema[]>;
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const defaultPageSize = 100;
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const defaultPage = 1;
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2024-12-13 23:11:25 +00:00
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/**
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* Keys of the properties to include in the CSV.
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*/
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const csvColumns = [
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"id",
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"name",
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"code",
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"description",
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"product_type.name",
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"club.name",
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"limit_age",
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"purchase_price",
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"selling_price",
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"archived",
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] as NestedKeyOf<ProductSchema>[];
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/**
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* Title of the csv columns.
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*/
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const csvColumnTitles = [
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"id",
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gettext("name"),
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"code",
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"description",
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gettext("product type"),
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"club",
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gettext("limit age"),
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gettext("purchase price"),
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gettext("selling price"),
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gettext("archived"),
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];
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document.addEventListener("alpine:init", () => {
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Alpine.data("productList", () => ({
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loading: false,
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csvLoading: false,
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products: {} as GroupedProducts,
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/** Total number of elements corresponding to the current query. */
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nbPages: 0,
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productStatus: "" as "active" | "archived" | "both",
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search: "",
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productTypes: [] as string[],
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pageSize: defaultPageSize,
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page: defaultPage,
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async init() {
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const url = getCurrentUrlParams();
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this.search = url.get("search") || "";
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this.productStatus = url.get("productStatus") ?? "active";
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const widget = this.$refs.productTypesInput.widget as TomSelect;
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widget.on("change", (items: string[]) => {
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this.productTypes = [...items];
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});
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await this.load();
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const searchParams = ["search", "productStatus", "productTypes"];
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for (const param of searchParams) {
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this.$watch(param, () => {
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this.page = defaultPage;
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});
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}
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for (const param of [...searchParams, "page"]) {
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this.$watch(param, async (value: string) => {
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updateQueryString(param, value, History.Replace);
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this.nbPages = 0;
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await this.load();
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});
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}
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},
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/**
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* Build the object containing the query parameters corresponding
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* to the current filters
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*/
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getQueryParams(): ProductSearchProductsDetailedData {
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const search = this.search.length > 0 ? this.search : null;
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// If active or archived products must be filtered, put the filter in the request
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// Else, don't include the filter
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const isArchived = ["active", "archived"].includes(this.productStatus)
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? this.productStatus === "archived"
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: undefined;
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return {
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query: {
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page: this.page,
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// biome-ignore lint/style/useNamingConvention: api is in snake_case
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page_size: this.pageSize,
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search: search,
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// biome-ignore lint/style/useNamingConvention: api is in snake_case
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is_archived: isArchived,
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// biome-ignore lint/style/useNamingConvention: api is in snake_case
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product_type: this.productTypes,
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},
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};
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},
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/**
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* Fetch the products corresponding to the current filters
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*/
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async load() {
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this.loading = true;
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const options = this.getQueryParams();
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const resp = await productSearchProductsDetailed(options);
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this.nbPages = Math.ceil(resp.data.count / defaultPageSize);
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this.products = resp.data.results.reduce<GroupedProducts>((acc, curr) => {
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const key = curr.product_type?.name ?? gettext("Uncategorized");
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if (!(key in acc)) {
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acc[key] = [];
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}
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acc[key].push(curr);
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return acc;
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}, {});
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this.loading = false;
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},
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/**
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* Download products corresponding to the current filters as a CSV file.
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* If the pagination has multiple pages, all pages are downloaded.
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*/
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async downloadCsv() {
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this.csvLoading = true;
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const fileHandle = await showSaveFilePicker({
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_preferPolyfill: false,
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suggestedName: gettext("products.csv"),
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types: [],
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excludeAcceptAllOption: false,
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});
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// if products to download are already in-memory, directly take them.
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// If not, fetch them.
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const products =
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this.nbPages > 1
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? await paginated(productSearchProductsDetailed, this.getQueryParams())
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: Object.values<ProductSchema[]>(this.products).flat();
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const content = csv.stringify(products, {
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columns: csvColumns,
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titleRow: csvColumnTitles,
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});
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const file = await fileHandle.createWritable();
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await file.write(content);
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await file.close();
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this.csvLoading = false;
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},
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}));
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});
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