feat: implement analytics dashboard page with custom Recharts visualizations and Supabase RPC integration
This commit is contained in:
Poyraz
@@ -1,6 +1,6 @@
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"use client";
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import { useState } from "react";
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import { useRouter, usePathname, useSearchParams } from "next/navigation";
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import { Card, CardContent } from "poyraz-ui/atoms";
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import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from "poyraz-ui/molecules";
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import {
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@@ -10,9 +10,12 @@ import {
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import { BarChart3, Filter } from "lucide-react";
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export type AnalyticsData = {
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tasks: { id: string; status: string; created_at: string; due_at?: string }[];
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projects: { id: string; name: string }[];
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finances: { id: string; type: string; amount: number; transaction_date: string; project_id?: string }[];
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metrics: {
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projectIncomeData: { name: string; value: number }[];
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completedTasks: number;
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activeTasks: number;
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};
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range: string;
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};
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type AnalyticsClientProps = {
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@@ -22,44 +25,17 @@ type AnalyticsClientProps = {
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const COLORS = ["hsl(var(--primary))", "hsl(var(--destructive))", "#eab308", "#3b82f6", "#8b5cf6"];
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export function AnalyticsClient({ data }: AnalyticsClientProps) {
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const [dateRange, setDateRange] = useState("this_month");
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const router = useRouter();
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const pathname = usePathname();
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const searchParams = useSearchParams();
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const now = new Date();
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const filterByDate = (dateStr: string | null) => {
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if (!dateStr) return false;
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const date = new Date(dateStr);
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if (dateRange === "this_week") {
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const firstDay = new Date(now.setDate(now.getDate() - now.getDay() + (now.getDay() === 0 ? -6 : 1)));
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return date >= firstDay;
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}
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if (dateRange === "this_month") {
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return date.getMonth() === now.getMonth() && date.getFullYear() === now.getFullYear();
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}
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if (dateRange === "this_year") {
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return date.getFullYear() === now.getFullYear();
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}
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return true;
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const handleRangeChange = (newRange: string) => {
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const params = new URLSearchParams(searchParams.toString());
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params.set("range", newRange);
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router.push(`${pathname}?${params.toString()}`);
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};
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const filteredFinances = data.finances.filter(f => filterByDate(f.transaction_date));
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const filteredTasks = data.tasks.filter(t => filterByDate(t.created_at || t.due_at || null));
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// Project-based income
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const projectIncomeMap = new Map();
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filteredFinances.filter(f => f.type === "income" && f.project_id).forEach(f => {
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const project = data.projects.find(p => p.id === f.project_id);
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const name = project ? project.name : "Bilinmeyen";
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if (!projectIncomeMap.has(name)) {
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projectIncomeMap.set(name, { name, value: 0 });
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}
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projectIncomeMap.get(name).value += Number(f.amount);
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});
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const projectIncomeData = Array.from(projectIncomeMap.values());
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// Task completion stats
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const completedTasks = filteredTasks.filter(t => t.status === "done").length;
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const activeTasks = filteredTasks.filter(t => t.status !== "done" && t.status !== "cancelled").length;
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const { projectIncomeData, completedTasks, activeTasks } = data.metrics;
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const taskStatusData = [
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{ name: "Tamamlanan", value: completedTasks },
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@@ -85,7 +61,7 @@ export function AnalyticsClient({ data }: AnalyticsClientProps) {
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</div>
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<div className="flex items-center gap-3">
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<Select value={dateRange} onValueChange={setDateRange}>
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<Select value={data.range} onValueChange={handleRangeChange}>
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<SelectTrigger className="w-[160px]">
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<SelectValue placeholder="Tarih aralığı" />
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</SelectTrigger>
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@@ -6,7 +6,11 @@ export const metadata = {
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title: "Analizler - Neta",
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};
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export default async function AnalyticsPage() {
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export default async function AnalyticsPage({
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searchParams,
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}: {
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searchParams: { [key: string]: string | string[] | undefined };
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}) {
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const supabase = await createClient();
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const { data: { user } } = await supabase.auth.getUser();
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@@ -14,24 +18,41 @@ export default async function AnalyticsPage() {
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redirect("/login");
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}
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// Fetch all analytics data in parallel with only needed columns
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const [{ data: tasks }, { data: projects }, { data: finances }] =
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await Promise.all([
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supabase
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.from("tasks")
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.select("id, status, created_at, due_at"),
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supabase
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.from("projects")
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.select("id, name"),
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supabase
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.from("finance_transactions")
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.select("id, type, amount, transaction_date, project_id"),
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]);
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const range = typeof searchParams.range === "string" ? searchParams.range : "this_month";
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const now = new Date();
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let startDate = new Date();
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let endDate = new Date(now.getFullYear(), now.getMonth() + 1, 0, 23, 59, 59);
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if (range === "this_week") {
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const tempNow = new Date();
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const firstDay = new Date(tempNow.setDate(tempNow.getDate() - tempNow.getDay() + (tempNow.getDay() === 0 ? -6 : 1)));
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firstDay.setHours(0, 0, 0, 0);
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startDate = firstDay;
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endDate = new Date(firstDay.getTime());
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endDate.setDate(endDate.getDate() + 6);
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endDate.setHours(23, 59, 59, 999);
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} else if (range === "this_month") {
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startDate = new Date(now.getFullYear(), now.getMonth(), 1, 0, 0, 0);
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endDate = new Date(now.getFullYear(), now.getMonth() + 1, 0, 23, 59, 59);
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} else if (range === "this_year") {
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startDate = new Date(now.getFullYear(), 0, 1, 0, 0, 0);
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endDate = new Date(now.getFullYear(), 11, 31, 23, 59, 59);
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}
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// Fetch metrics using RPC
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const { data: metricsData } = await supabase.rpc('get_analytics_metrics', {
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p_start_date: startDate.toISOString(),
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p_end_date: endDate.toISOString()
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});
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const analyticsData = {
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tasks: tasks || [],
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projects: projects || [],
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finances: finances || [],
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metrics: metricsData || {
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projectIncomeData: [],
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completedTasks: 0,
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activeTasks: 0
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},
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range
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};
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return <AnalyticsClient data={analyticsData} />;
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@@ -1,6 +1,6 @@
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"use client";
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import { useState } from "react";
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import { useRouter, usePathname, useSearchParams } from "next/navigation";
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import { PendingLink } from "@/components/ui/pending-link";
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import { Badge, Card, CardContent } from "poyraz-ui/atoms";
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import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from "poyraz-ui/molecules";
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@@ -8,11 +8,17 @@ import { Bar, BarChart, CartesianGrid, ResponsiveContainer, Tooltip, XAxis, YAxi
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import { CheckCircle2, Wallet, FolderKanban, Activity, Users } from "lucide-react";
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export type DashboardData = {
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tasks: { id: string; status: string; created_at: string; updated_at?: string; due_at?: string }[];
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metrics: {
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netProfit: number;
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activeProjectsCount: number;
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completedTasksCount: number;
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avgMood: string;
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financeTrend: { date: string; income: number; expense: number }[];
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moodTrend: { date: string; mood: number; energy: number }[];
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};
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projects: { id: string; status: string; name: string; created_at: string }[];
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finances: { id: string; type: string; amount: number; transaction_date: string }[];
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logs: { id: string; log_date: string; mood_score: number; energy_score: number }[];
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clients: { id: string; name: string; company_name: string; created_at: string }[];
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range: string;
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};
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type DashboardClientProps = {
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@@ -20,62 +26,29 @@ type DashboardClientProps = {
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};
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export function DashboardClient({ data }: DashboardClientProps) {
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const [dateRange, setDateRange] = useState("this_month");
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// Calculate real metrics from the `data` prop depending on `dateRange`
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const now = new Date();
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const router = useRouter();
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const pathname = usePathname();
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const searchParams = useSearchParams();
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// Helper to filter by date
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const filterByDate = (dateStr: string | null) => {
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if (!dateStr) return false;
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const date = new Date(dateStr);
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if (dateRange === "today") {
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return date.toDateString() === now.toDateString();
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}
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if (dateRange === "this_week") {
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const firstDay = new Date(now.setDate(now.getDate() - now.getDay() + (now.getDay() === 0 ? -6 : 1))); // Monday
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return date >= firstDay;
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}
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if (dateRange === "this_month") {
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return date.getMonth() === now.getMonth() && date.getFullYear() === now.getFullYear();
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}
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return true;
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const handleRangeChange = (newRange: string) => {
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const params = new URLSearchParams(searchParams.toString());
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params.set("range", newRange);
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router.push(`${pathname}?${params.toString()}`);
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};
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// KPIs
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const filteredFinances = (data.finances || []).filter(f => filterByDate(f.transaction_date));
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const income = filteredFinances.filter(f => f.type === "income").reduce((acc, curr) => acc + Number(curr.amount), 0);
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const expense = filteredFinances.filter(f => f.type === "expense").reduce((acc, curr) => acc + Number(curr.amount), 0);
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const netProfit = income - expense;
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const { netProfit, activeProjectsCount, completedTasksCount, avgMood, financeTrend, moodTrend } = data.metrics;
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const activeProjectsCount = (data.projects || []).filter(p => p.status === "active").length;
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const completedTasksCount = (data.tasks || []).filter(t => t.status === "done" && filterByDate(t.updated_at || t.created_at)).length;
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// Format dates for Recharts using local timezone
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const incomeTrendData = (financeTrend || []).map(f => ({
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name: new Date(f.date).toLocaleDateString("tr-TR", { month: "short", day: "numeric" }),
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income: f.income,
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expense: f.expense
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}));
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const filteredLogs = (data.logs || []).filter(l => filterByDate(l.log_date));
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const avgMood = filteredLogs.length > 0
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? (filteredLogs.reduce((acc, curr) => acc + curr.mood_score, 0) / filteredLogs.length).toFixed(1)
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: "0.0";
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// Recharts Data Prep
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// Group finances by date
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const financeMap = new Map();
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filteredFinances.forEach(f => {
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const d = new Date(f.transaction_date).toLocaleDateString("tr-TR", { month: "short", day: "numeric" });
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if (!financeMap.has(d)) {
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financeMap.set(d, { name: d, income: 0, expense: 0 });
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}
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const entry = financeMap.get(d);
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if (f.type === "income") entry.income += Number(f.amount);
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if (f.type === "expense") entry.expense += Number(f.amount);
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});
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const incomeTrendData = Array.from(financeMap.values());
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// Group logs by date
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const moodTrendData = filteredLogs.map(l => ({
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date: new Date(l.log_date).toLocaleDateString("tr-TR", { month: "short", day: "numeric" }),
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mood: l.mood_score,
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energy: l.energy_score,
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const moodTrendData = (moodTrend || []).map(l => ({
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date: new Date(l.date).toLocaleDateString("tr-TR", { month: "short", day: "numeric" }),
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mood: l.mood,
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energy: l.energy,
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}));
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// Format currency
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@@ -107,7 +80,7 @@ export function DashboardClient({ data }: DashboardClientProps) {
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</div>
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<div className="flex items-center gap-3">
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<Select value={dateRange} onValueChange={setDateRange}>
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<Select value={data.range} onValueChange={handleRangeChange}>
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<SelectTrigger className="w-[160px]">
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<SelectValue placeholder="Tarih aralığı" />
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</SelectTrigger>
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+47
-30
@@ -6,7 +6,11 @@ export const metadata = {
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title: "Dashboard - Neta",
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};
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export default async function DashboardPage() {
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export default async function DashboardPage({
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searchParams,
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}: {
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searchParams: { [key: string]: string | string[] | undefined };
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}) {
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const supabase = await createClient();
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const { data: { user } } = await supabase.auth.getUser();
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@@ -14,41 +18,48 @@ export default async function DashboardPage() {
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redirect("/login");
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}
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// Get current date and date 30 days ago
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const today = new Date();
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const thirtyDaysAgo = new Date();
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thirtyDaysAgo.setDate(thirtyDaysAgo.getDate() - 30);
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const range = typeof searchParams.range === "string" ? searchParams.range : "this_month";
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const todayStr = today.toISOString();
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const thirtyDaysAgoStr = thirtyDaysAgo.toISOString();
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const now = new Date();
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let startDate = new Date();
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let endDate = new Date(now.getFullYear(), now.getMonth() + 1, 0, 23, 59, 59); // default to end of month
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if (range === "today") {
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startDate = new Date(now.getFullYear(), now.getMonth(), now.getDate(), 0, 0, 0);
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endDate = new Date(now.getFullYear(), now.getMonth(), now.getDate(), 23, 59, 59);
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} else if (range === "this_week") {
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// Reset `now` because setDate mutates
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const tempNow = new Date();
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const firstDay = new Date(tempNow.setDate(tempNow.getDate() - tempNow.getDay() + (tempNow.getDay() === 0 ? -6 : 1)));
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firstDay.setHours(0, 0, 0, 0);
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startDate = firstDay;
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endDate = new Date(firstDay.getTime());
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endDate.setDate(endDate.getDate() + 6);
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endDate.setHours(23, 59, 59, 999);
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} else if (range === "this_month") {
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startDate = new Date(now.getFullYear(), now.getMonth(), 1, 0, 0, 0);
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endDate = new Date(now.getFullYear(), now.getMonth() + 1, 0, 23, 59, 59);
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} else if (range === "this_year") {
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startDate = new Date(now.getFullYear(), 0, 1, 0, 0, 0);
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endDate = new Date(now.getFullYear(), 11, 31, 23, 59, 59);
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}
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// Fetch all dashboard data in parallel with only needed columns
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// Fetch metrics using RPC
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const { data: metricsData } = await supabase.rpc('get_dashboard_metrics', {
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p_start_date: startDate.toISOString(),
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p_end_date: endDate.toISOString()
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});
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// Fetch limited recent data
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const [
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{ data: tasks },
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{ data: projects },
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{ data: finances },
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{ data: logs },
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{ data: clients },
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] = await Promise.all([
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supabase
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.from("tasks")
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.select("id, status, created_at, updated_at, due_at")
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.or(`due_at.gte.${thirtyDaysAgoStr},created_at.gte.${thirtyDaysAgoStr}`)
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.order("due_at", { ascending: true }),
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supabase
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.from("projects")
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.select("id, status, name, created_at")
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.order("created_at", { ascending: false }),
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supabase
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.from("finance_transactions")
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.select("id, type, amount, transaction_date")
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.gte("transaction_date", thirtyDaysAgoStr)
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.order("transaction_date", { ascending: true }),
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supabase
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.from("daily_logs")
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.select("id, log_date, mood_score, energy_score")
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.gte("log_date", thirtyDaysAgoStr)
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.order("log_date", { ascending: true }),
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.order("created_at", { ascending: false })
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.limit(5),
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supabase
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.from("clients")
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.select("id, name, company_name, created_at")
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@@ -57,11 +68,17 @@ export default async function DashboardPage() {
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]);
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const dashboardData = {
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tasks: tasks || [],
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metrics: metricsData || {
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netProfit: 0,
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activeProjectsCount: 0,
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completedTasksCount: 0,
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avgMood: "0.0",
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financeTrend: [],
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moodTrend: []
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},
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projects: projects || [],
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finances: finances || [],
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logs: logs || [],
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clients: clients || [],
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range
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};
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return <DashboardClient data={dashboardData} />;
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@@ -24,7 +24,7 @@ Repo içinde `supabase/` ve `docs/database/` klasörleri tutulmaya devam eder. B
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## Tek Seferlik Kurulum SQL'i
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Yeni bir Supabase projesini Neta için hazırlamanın en kolay yolu `supabase/setup.sql` dosyasını çalıştırmak. Bu dosya `supabase/schema.sql` ve `supabase/migrations/0002..0011` arasındaki migration dosyalarının tek dosyada birleştirilmiş hâlidir.
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Yeni bir Supabase projesini Neta için hazırlamanın en kolay yolu `supabase/setup.sql` dosyasını çalıştırmak. Bu dosya `supabase/schema.sql` ve `supabase/migrations/0002..0012` arasındaki migration dosyalarının tek dosyada birleştirilmiş hâlidir.
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Demo seed verisi bu dosyaya dahil değildir. Production kurulumda örnek veri istemediğim için seed ayrı tutulur.
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@@ -98,6 +98,8 @@ Uygulama şu function/RPC yapılarına ihtiyaç duyar:
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- `is_first_admin_setup_available`
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- `request_internal_auth_creation`
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- `match_documents`
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- `get_dashboard_metrics` — Dashboard KPI ve grafik verilerini sunucu tarafında hesaplar
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- `get_analytics_metrics` — Analiz sayfası proje gelir dağılımı ve görev istatistiklerini hesaplar
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- Yeni auth user için profile oluşturan trigger/function
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- Proje ilerlemesini görev durumuna göre güncelleyen trigger/function
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@@ -0,0 +1,161 @@
|
||||
-- 0012_add_analytics_rpcs.sql
|
||||
-- RPCs for Dashboard and Analytics aggregations to optimize frontend payload size
|
||||
|
||||
CREATE OR REPLACE FUNCTION public.get_dashboard_metrics(
|
||||
p_start_date TIMESTAMP WITH TIME ZONE,
|
||||
p_end_date TIMESTAMP WITH TIME ZONE
|
||||
)
|
||||
RETURNS JSONB
|
||||
LANGUAGE plpgsql
|
||||
SECURITY DEFINER
|
||||
SET search_path = public
|
||||
AS $$
|
||||
DECLARE
|
||||
v_user_id UUID := auth.uid();
|
||||
v_income NUMERIC;
|
||||
v_expense NUMERIC;
|
||||
v_net_profit NUMERIC;
|
||||
v_active_projects INT;
|
||||
v_completed_tasks INT;
|
||||
v_avg_mood NUMERIC;
|
||||
v_finance_trend JSONB;
|
||||
v_mood_trend JSONB;
|
||||
BEGIN
|
||||
IF v_user_id IS NULL THEN
|
||||
RAISE EXCEPTION 'Not authenticated';
|
||||
END IF;
|
||||
|
||||
-- 1. Net Profit
|
||||
SELECT COALESCE(SUM(amount), 0) INTO v_income
|
||||
FROM finance_transactions
|
||||
WHERE user_id = v_user_id AND type = 'income'
|
||||
AND transaction_date >= p_start_date::date AND transaction_date <= p_end_date::date;
|
||||
|
||||
SELECT COALESCE(SUM(amount), 0) INTO v_expense
|
||||
FROM finance_transactions
|
||||
WHERE user_id = v_user_id AND type = 'expense'
|
||||
AND transaction_date >= p_start_date::date AND transaction_date <= p_end_date::date;
|
||||
|
||||
v_net_profit := v_income - v_expense;
|
||||
|
||||
-- 2. Active Projects
|
||||
SELECT COUNT(*) INTO v_active_projects
|
||||
FROM projects
|
||||
WHERE user_id = v_user_id AND status = 'active';
|
||||
|
||||
-- 3. Completed Tasks
|
||||
SELECT COUNT(*) INTO v_completed_tasks
|
||||
FROM tasks
|
||||
WHERE user_id = v_user_id AND status = 'done'
|
||||
AND COALESCE(updated_at, created_at) >= p_start_date AND COALESCE(updated_at, created_at) <= p_end_date;
|
||||
|
||||
-- 4. Average Mood
|
||||
SELECT COALESCE(ROUND(AVG(mood_score)::numeric, 1), 0) INTO v_avg_mood
|
||||
FROM daily_logs
|
||||
WHERE user_id = v_user_id
|
||||
AND log_date >= p_start_date::date AND log_date <= p_end_date::date;
|
||||
|
||||
-- 5. Finance Trend (group by date)
|
||||
SELECT COALESCE(jsonb_agg(
|
||||
jsonb_build_object(
|
||||
'date', t.t_date,
|
||||
'income', t.inc,
|
||||
'expense', t.exp
|
||||
)
|
||||
), '[]'::jsonb) INTO v_finance_trend
|
||||
FROM (
|
||||
SELECT
|
||||
transaction_date AS t_date,
|
||||
SUM(CASE WHEN type = 'income' THEN amount ELSE 0 END) AS inc,
|
||||
SUM(CASE WHEN type = 'expense' THEN amount ELSE 0 END) AS exp
|
||||
FROM finance_transactions
|
||||
WHERE user_id = v_user_id
|
||||
AND transaction_date >= p_start_date::date AND transaction_date <= p_end_date::date
|
||||
GROUP BY transaction_date
|
||||
ORDER BY transaction_date ASC
|
||||
) t;
|
||||
|
||||
-- 6. Mood Trend
|
||||
SELECT COALESCE(jsonb_agg(
|
||||
jsonb_build_object(
|
||||
'date', log_date,
|
||||
'mood', mood_score,
|
||||
'energy', energy_score
|
||||
)
|
||||
), '[]'::jsonb) INTO v_mood_trend
|
||||
FROM (
|
||||
SELECT log_date, mood_score, energy_score
|
||||
FROM daily_logs
|
||||
WHERE user_id = v_user_id
|
||||
AND log_date >= p_start_date::date AND log_date <= p_end_date::date
|
||||
ORDER BY log_date ASC
|
||||
) m;
|
||||
|
||||
RETURN jsonb_build_object(
|
||||
'netProfit', v_net_profit,
|
||||
'activeProjectsCount', v_active_projects,
|
||||
'completedTasksCount', v_completed_tasks,
|
||||
'avgMood', v_avg_mood::text,
|
||||
'financeTrend', v_finance_trend,
|
||||
'moodTrend', v_mood_trend
|
||||
);
|
||||
END;
|
||||
$$;
|
||||
|
||||
|
||||
CREATE OR REPLACE FUNCTION public.get_analytics_metrics(
|
||||
p_start_date TIMESTAMP WITH TIME ZONE,
|
||||
p_end_date TIMESTAMP WITH TIME ZONE
|
||||
)
|
||||
RETURNS JSONB
|
||||
LANGUAGE plpgsql
|
||||
SECURITY DEFINER
|
||||
SET search_path = public
|
||||
AS $$
|
||||
DECLARE
|
||||
v_user_id UUID := auth.uid();
|
||||
v_project_income JSONB;
|
||||
v_completed_tasks INT;
|
||||
v_active_tasks INT;
|
||||
BEGIN
|
||||
IF v_user_id IS NULL THEN
|
||||
RAISE EXCEPTION 'Not authenticated';
|
||||
END IF;
|
||||
|
||||
-- 1. Project Income Data
|
||||
SELECT COALESCE(jsonb_agg(
|
||||
jsonb_build_object(
|
||||
'name', t.p_name,
|
||||
'value', t.total_amount
|
||||
)
|
||||
), '[]'::jsonb) INTO v_project_income
|
||||
FROM (
|
||||
SELECT
|
||||
COALESCE(p.name, 'Bilinmeyen') AS p_name,
|
||||
SUM(f.amount) AS total_amount
|
||||
FROM finance_transactions f
|
||||
LEFT JOIN projects p ON f.project_id = p.id
|
||||
WHERE f.user_id = v_user_id AND f.type = 'income'
|
||||
AND f.transaction_date >= p_start_date::date AND f.transaction_date <= p_end_date::date
|
||||
GROUP BY p.name
|
||||
ORDER BY total_amount DESC
|
||||
) t;
|
||||
|
||||
-- 2. Task completion stats
|
||||
SELECT COUNT(*) INTO v_completed_tasks
|
||||
FROM tasks
|
||||
WHERE user_id = v_user_id AND status = 'done'
|
||||
AND COALESCE(due_at, created_at) >= p_start_date AND COALESCE(due_at, created_at) <= p_end_date;
|
||||
|
||||
SELECT COUNT(*) INTO v_active_tasks
|
||||
FROM tasks
|
||||
WHERE user_id = v_user_id AND status != 'done' AND status != 'cancelled'
|
||||
AND COALESCE(due_at, created_at) >= p_start_date AND COALESCE(due_at, created_at) <= p_end_date;
|
||||
|
||||
RETURN jsonb_build_object(
|
||||
'projectIncomeData', v_project_income,
|
||||
'completedTasks', v_completed_tasks,
|
||||
'activeTasks', v_active_tasks
|
||||
);
|
||||
END;
|
||||
$$;
|
||||
+169
-1
@@ -1,6 +1,6 @@
|
||||
-- Neta one-shot Supabase setup SQL
|
||||
-- Run this once in a fresh Supabase project after Auth and Storage schemas are available.
|
||||
-- This file is generated from supabase/schema.sql and supabase/migrations/0002..0011.
|
||||
-- This file is generated from supabase/schema.sql and supabase/migrations/0002..0012.
|
||||
-- Demo seed data is intentionally not included.
|
||||
|
||||
|
||||
@@ -1560,4 +1560,172 @@ create policy "Users can delete their own project assets." on storage.objects
|
||||
)
|
||||
);
|
||||
|
||||
-- -----------------------------------------------------------------------------
|
||||
-- Source: supabase/migrations/0012_add_analytics_rpcs.sql
|
||||
-- -----------------------------------------------------------------------------
|
||||
|
||||
-- 0012: Dashboard & Analytics aggregate RPC functions
|
||||
-- These functions run aggregation queries inside PostgreSQL so the frontend
|
||||
-- receives pre-computed JSON instead of raw rows. This significantly reduces
|
||||
-- network payload and eliminates client-side reduce/filter overhead.
|
||||
|
||||
CREATE OR REPLACE FUNCTION public.get_dashboard_metrics(
|
||||
p_start_date TIMESTAMP WITH TIME ZONE,
|
||||
p_end_date TIMESTAMP WITH TIME ZONE
|
||||
)
|
||||
RETURNS JSONB
|
||||
LANGUAGE plpgsql
|
||||
SECURITY DEFINER
|
||||
SET search_path = public
|
||||
AS $$
|
||||
DECLARE
|
||||
v_user_id UUID := auth.uid();
|
||||
v_income NUMERIC;
|
||||
v_expense NUMERIC;
|
||||
v_net_profit NUMERIC;
|
||||
v_active_projects INT;
|
||||
v_completed_tasks INT;
|
||||
v_avg_mood NUMERIC;
|
||||
v_finance_trend JSONB;
|
||||
v_mood_trend JSONB;
|
||||
BEGIN
|
||||
IF v_user_id IS NULL THEN
|
||||
RAISE EXCEPTION 'Not authenticated';
|
||||
END IF;
|
||||
|
||||
-- 1. Net Profit
|
||||
SELECT COALESCE(SUM(amount), 0) INTO v_income
|
||||
FROM finance_transactions
|
||||
WHERE user_id = v_user_id AND type = 'income'
|
||||
AND transaction_date >= p_start_date::date AND transaction_date <= p_end_date::date;
|
||||
|
||||
SELECT COALESCE(SUM(amount), 0) INTO v_expense
|
||||
FROM finance_transactions
|
||||
WHERE user_id = v_user_id AND type = 'expense'
|
||||
AND transaction_date >= p_start_date::date AND transaction_date <= p_end_date::date;
|
||||
|
||||
v_net_profit := v_income - v_expense;
|
||||
|
||||
-- 2. Active Projects
|
||||
SELECT COUNT(*) INTO v_active_projects
|
||||
FROM projects
|
||||
WHERE user_id = v_user_id AND status = 'active';
|
||||
|
||||
-- 3. Completed Tasks
|
||||
SELECT COUNT(*) INTO v_completed_tasks
|
||||
FROM tasks
|
||||
WHERE user_id = v_user_id AND status = 'done'
|
||||
AND COALESCE(updated_at, created_at) >= p_start_date AND COALESCE(updated_at, created_at) <= p_end_date;
|
||||
|
||||
-- 4. Average Mood
|
||||
SELECT COALESCE(ROUND(AVG(mood_score)::numeric, 1), 0) INTO v_avg_mood
|
||||
FROM daily_logs
|
||||
WHERE user_id = v_user_id
|
||||
AND log_date >= p_start_date::date AND log_date <= p_end_date::date;
|
||||
|
||||
-- 5. Finance Trend (group by date)
|
||||
SELECT COALESCE(jsonb_agg(
|
||||
jsonb_build_object(
|
||||
'date', t.t_date,
|
||||
'income', t.inc,
|
||||
'expense', t.exp
|
||||
)
|
||||
), '[]'::jsonb) INTO v_finance_trend
|
||||
FROM (
|
||||
SELECT
|
||||
transaction_date AS t_date,
|
||||
SUM(CASE WHEN type = 'income' THEN amount ELSE 0 END) AS inc,
|
||||
SUM(CASE WHEN type = 'expense' THEN amount ELSE 0 END) AS exp
|
||||
FROM finance_transactions
|
||||
WHERE user_id = v_user_id
|
||||
AND transaction_date >= p_start_date::date AND transaction_date <= p_end_date::date
|
||||
GROUP BY transaction_date
|
||||
ORDER BY transaction_date ASC
|
||||
) t;
|
||||
|
||||
-- 6. Mood Trend
|
||||
SELECT COALESCE(jsonb_agg(
|
||||
jsonb_build_object(
|
||||
'date', log_date,
|
||||
'mood', mood_score,
|
||||
'energy', energy_score
|
||||
)
|
||||
), '[]'::jsonb) INTO v_mood_trend
|
||||
FROM (
|
||||
SELECT log_date, mood_score, energy_score
|
||||
FROM daily_logs
|
||||
WHERE user_id = v_user_id
|
||||
AND log_date >= p_start_date::date AND log_date <= p_end_date::date
|
||||
ORDER BY log_date ASC
|
||||
) m;
|
||||
|
||||
RETURN jsonb_build_object(
|
||||
'netProfit', v_net_profit,
|
||||
'activeProjectsCount', v_active_projects,
|
||||
'completedTasksCount', v_completed_tasks,
|
||||
'avgMood', v_avg_mood::text,
|
||||
'financeTrend', v_finance_trend,
|
||||
'moodTrend', v_mood_trend
|
||||
);
|
||||
END;
|
||||
$$;
|
||||
|
||||
|
||||
CREATE OR REPLACE FUNCTION public.get_analytics_metrics(
|
||||
p_start_date TIMESTAMP WITH TIME ZONE,
|
||||
p_end_date TIMESTAMP WITH TIME ZONE
|
||||
)
|
||||
RETURNS JSONB
|
||||
LANGUAGE plpgsql
|
||||
SECURITY DEFINER
|
||||
SET search_path = public
|
||||
AS $$
|
||||
DECLARE
|
||||
v_user_id UUID := auth.uid();
|
||||
v_project_income JSONB;
|
||||
v_completed_tasks INT;
|
||||
v_active_tasks INT;
|
||||
BEGIN
|
||||
IF v_user_id IS NULL THEN
|
||||
RAISE EXCEPTION 'Not authenticated';
|
||||
END IF;
|
||||
|
||||
-- 1. Project Income Data
|
||||
SELECT COALESCE(jsonb_agg(
|
||||
jsonb_build_object(
|
||||
'name', t.p_name,
|
||||
'value', t.total_amount
|
||||
)
|
||||
), '[]'::jsonb) INTO v_project_income
|
||||
FROM (
|
||||
SELECT
|
||||
COALESCE(p.name, 'Bilinmeyen') AS p_name,
|
||||
SUM(f.amount) AS total_amount
|
||||
FROM finance_transactions f
|
||||
LEFT JOIN projects p ON f.project_id = p.id
|
||||
WHERE f.user_id = v_user_id AND f.type = 'income'
|
||||
AND f.transaction_date >= p_start_date::date AND f.transaction_date <= p_end_date::date
|
||||
GROUP BY p.name
|
||||
ORDER BY total_amount DESC
|
||||
) t;
|
||||
|
||||
-- 2. Task completion stats
|
||||
SELECT COUNT(*) INTO v_completed_tasks
|
||||
FROM tasks
|
||||
WHERE user_id = v_user_id AND status = 'done'
|
||||
AND COALESCE(due_at, created_at) >= p_start_date AND COALESCE(due_at, created_at) <= p_end_date;
|
||||
|
||||
SELECT COUNT(*) INTO v_active_tasks
|
||||
FROM tasks
|
||||
WHERE user_id = v_user_id AND status != 'done' AND status != 'cancelled'
|
||||
AND COALESCE(due_at, created_at) >= p_start_date AND COALESCE(due_at, created_at) <= p_end_date;
|
||||
|
||||
RETURN jsonb_build_object(
|
||||
'projectIncomeData', v_project_income,
|
||||
'completedTasks', v_completed_tasks,
|
||||
'activeTasks', v_active_tasks
|
||||
);
|
||||
END;
|
||||
$$;
|
||||
|
||||
notify pgrst, 'reload schema';
|
||||
|
||||
Reference in New Issue
Block a user