Files
openmonetis/lib/relatorios/fetch-category-chart-data.ts

168 lines
4.3 KiB
TypeScript

import { format } from "date-fns";
import { ptBR } from "date-fns/locale";
import { and, eq, inArray, isNull, or, sql } from "drizzle-orm";
import { categorias, lancamentos } from "@/db/schema";
import { ACCOUNT_AUTO_INVOICE_NOTE_PREFIX } from "@/lib/contas/constants";
import { toNumber } from "@/lib/dashboard/common";
import { db } from "@/lib/db";
import { getAdminPagadorId } from "@/lib/pagadores/get-admin-id";
import { generatePeriodRange } from "./utils";
export type CategoryChartData = {
months: string[]; // Short month labels (e.g., "JAN", "FEV")
categories: Array<{
id: string;
name: string;
icon: string | null;
type: "despesa" | "receita";
}>;
chartData: Array<{
month: string;
[categoryName: string]: number | string;
}>;
allCategories: Array<{
id: string;
name: string;
icon: string | null;
type: "despesa" | "receita";
}>;
};
export async function fetchCategoryChartData(
userId: string,
startPeriod: string,
endPeriod: string,
categoryIds?: string[],
): Promise<CategoryChartData> {
const periods = generatePeriodRange(startPeriod, endPeriod);
const adminPagadorId = await getAdminPagadorId(userId);
if (!adminPagadorId) {
return { months: [], categories: [], chartData: [], allCategories: [] };
}
const whereConditions = [
eq(lancamentos.userId, userId),
eq(lancamentos.pagadorId, adminPagadorId),
inArray(lancamentos.period, periods),
or(eq(categorias.type, "despesa"), eq(categorias.type, "receita")),
or(
isNull(lancamentos.note),
sql`${lancamentos.note} NOT LIKE ${`${ACCOUNT_AUTO_INVOICE_NOTE_PREFIX}%`}`,
),
];
if (categoryIds && categoryIds.length > 0) {
whereConditions.push(inArray(categorias.id, categoryIds));
}
const [rows, allCategoriesRows] = await Promise.all([
db
.select({
categoryId: categorias.id,
categoryName: categorias.name,
categoryIcon: categorias.icon,
categoryType: categorias.type,
period: lancamentos.period,
total: sql<number>`coalesce(sum(abs(${lancamentos.amount})), 0)`,
})
.from(lancamentos)
.innerJoin(categorias, eq(lancamentos.categoriaId, categorias.id))
.where(and(...whereConditions))
.groupBy(
categorias.id,
categorias.name,
categorias.icon,
categorias.type,
lancamentos.period,
),
db
.select({
id: categorias.id,
name: categorias.name,
icon: categorias.icon,
type: categorias.type,
})
.from(categorias)
.where(eq(categorias.userId, userId))
.orderBy(categorias.type, categorias.name),
]);
const allCategories = allCategoriesRows.map(
(cat: { id: string; name: string; icon: string | null; type: string }) => ({
id: cat.id,
name: cat.name,
icon: cat.icon,
type: cat.type as "despesa" | "receita",
}),
);
const categoryMap = new Map<
string,
{
id: string;
name: string;
icon: string | null;
type: "despesa" | "receita";
dataByPeriod: Map<string, number>;
}
>();
for (const row of rows) {
const amount = Math.abs(toNumber(row.total));
const { categoryId, categoryName, categoryIcon, categoryType, period } =
row;
if (!categoryMap.has(categoryId)) {
categoryMap.set(categoryId, {
id: categoryId,
name: categoryName,
icon: categoryIcon,
type: categoryType as "despesa" | "receita",
dataByPeriod: new Map(),
});
}
categoryMap.get(categoryId)?.dataByPeriod.set(period, amount);
}
const chartData = periods.map((period) => {
const [year, month] = period.split("-");
const date = new Date(
Number.parseInt(year, 10),
Number.parseInt(month, 10) - 1,
1,
);
const monthLabel = format(date, "MMM", { locale: ptBR }).toUpperCase();
const dataPoint: { month: string; [key: string]: number | string } = {
month: monthLabel,
};
for (const category of categoryMap.values()) {
dataPoint[category.name] = category.dataByPeriod.get(period) ?? 0;
}
return dataPoint;
});
const months = periods.map((period) => {
const [year, month] = period.split("-");
const date = new Date(
Number.parseInt(year, 10),
Number.parseInt(month, 10) - 1,
1,
);
return format(date, "MMM", { locale: ptBR }).toUpperCase();
});
const categories = Array.from(categoryMap.values()).map((cat) => ({
id: cat.id,
name: cat.name,
icon: cat.icon,
type: cat.type,
}));
return { months, categories, chartData, allCategories };
}