feat: implement analytics dashboard page with custom Recharts visualizations and Supabase RPC integration

app/(dashboard)/analytics/analytics-client.tsx

@@ -1,6 +1,6 @@
 "use client";
 
-import { useState } from "react";
+import { useRouter, usePathname, useSearchParams } from "next/navigation";
 import { Card, CardContent } from "poyraz-ui/atoms";
 import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from "poyraz-ui/molecules";
 import {
@@ -10,9 +10,12 @@ import {
 import { BarChart3, Filter } from "lucide-react";
 
 export type AnalyticsData = {
-  tasks: { id: string; status: string; created_at: string; due_at?: string }[];
+  metrics: {
-  projects: { id: string; name: string }[];
+    projectIncomeData: { name: string; value: number }[];
-  finances: { id: string; type: string; amount: number; transaction_date: string; project_id?: string }[];
+    completedTasks: number;
+    activeTasks: number;
+  };
+  range: string;
 };
 
 type AnalyticsClientProps = {
@@ -22,44 +25,17 @@ type AnalyticsClientProps = {
 const COLORS = ["hsl(var(--primary))", "hsl(var(--destructive))", "#eab308", "#3b82f6", "#8b5cf6"];
 
 export function AnalyticsClient({ data }: AnalyticsClientProps) {
-  const [dateRange, setDateRange] = useState("this_month");
+  const router = useRouter();
+  const pathname = usePathname();
+  const searchParams = useSearchParams();
   
-  const now = new Date();
+  const handleRangeChange = (newRange: string) => {
-  
+    const params = new URLSearchParams(searchParams.toString());
-  const filterByDate = (dateStr: string | null) => {
+    params.set("range", newRange);
-    if (!dateStr) return false;
+    router.push(`${pathname}?${params.toString()}`);
-    const date = new Date(dateStr);
-    if (dateRange === "this_week") {
-      const firstDay = new Date(now.setDate(now.getDate() - now.getDay() + (now.getDay() === 0 ? -6 : 1)));
-      return date >= firstDay;
-    }
-    if (dateRange === "this_month") {
-      return date.getMonth() === now.getMonth() && date.getFullYear() === now.getFullYear();
-    }
-    if (dateRange === "this_year") {
-      return date.getFullYear() === now.getFullYear();
-    }
-    return true;
   };
 
-  const filteredFinances = data.finances.filter(f => filterByDate(f.transaction_date));
+  const { projectIncomeData, completedTasks, activeTasks } = data.metrics;
-  const filteredTasks = data.tasks.filter(t => filterByDate(t.created_at || t.due_at || null));
-
-  // Project-based income
-  const projectIncomeMap = new Map();
-  filteredFinances.filter(f => f.type === "income" && f.project_id).forEach(f => {
-    const project = data.projects.find(p => p.id === f.project_id);
-    const name = project ? project.name : "Bilinmeyen";
-    if (!projectIncomeMap.has(name)) {
-      projectIncomeMap.set(name, { name, value: 0 });
-    }
-    projectIncomeMap.get(name).value += Number(f.amount);
-  });
-  const projectIncomeData = Array.from(projectIncomeMap.values());
-
-  // Task completion stats
-  const completedTasks = filteredTasks.filter(t => t.status === "done").length;
-  const activeTasks = filteredTasks.filter(t => t.status !== "done" && t.status !== "cancelled").length;
   
   const taskStatusData = [
     { name: "Tamamlanan", value: completedTasks },
@@ -85,7 +61,7 @@ export function AnalyticsClient({ data }: AnalyticsClientProps) {
         </div>
 
         <div className="flex items-center gap-3">
-          <Select value={dateRange} onValueChange={setDateRange}>
+          <Select value={data.range} onValueChange={handleRangeChange}>
             <SelectTrigger className="w-[160px]">
               <SelectValue placeholder="Tarih aralığı" />
             </SelectTrigger>

app/(dashboard)/analytics/page.tsx

@@ -6,7 +6,11 @@ export const metadata = {
   title: "Analizler - Neta",
 };
 
-export default async function AnalyticsPage() {
+export default async function AnalyticsPage({
+  searchParams,
+}: {
+  searchParams: { [key: string]: string | string[] | undefined };
+}) {
   const supabase = await createClient();
   const { data: { user } } = await supabase.auth.getUser();
 
@@ -14,24 +18,41 @@ export default async function AnalyticsPage() {
     redirect("/login");
   }
 
-  // Fetch all analytics data in parallel with only needed columns
+  const range = typeof searchParams.range === "string" ? searchParams.range : "this_month";
-  const [{ data: tasks }, { data: projects }, { data: finances }] =
+  
-    await Promise.all([
+  const now = new Date();
-      supabase
+  let startDate = new Date();
-        .from("tasks")
+  let endDate = new Date(now.getFullYear(), now.getMonth() + 1, 0, 23, 59, 59);
-        .select("id, status, created_at, due_at"),
+  
-      supabase
+  if (range === "this_week") {
-        .from("projects")
+    const tempNow = new Date();
-        .select("id, name"),
+    const firstDay = new Date(tempNow.setDate(tempNow.getDate() - tempNow.getDay() + (tempNow.getDay() === 0 ? -6 : 1)));
-      supabase
+    firstDay.setHours(0, 0, 0, 0);
-        .from("finance_transactions")
+    startDate = firstDay;
-        .select("id, type, amount, transaction_date, project_id"),
+    endDate = new Date(firstDay.getTime());
-    ]);
+    endDate.setDate(endDate.getDate() + 6);
+    endDate.setHours(23, 59, 59, 999);
+  } else if (range === "this_month") {
+    startDate = new Date(now.getFullYear(), now.getMonth(), 1, 0, 0, 0);
+    endDate = new Date(now.getFullYear(), now.getMonth() + 1, 0, 23, 59, 59);
+  } else if (range === "this_year") {
+    startDate = new Date(now.getFullYear(), 0, 1, 0, 0, 0);
+    endDate = new Date(now.getFullYear(), 11, 31, 23, 59, 59);
+  }
+
+  // Fetch metrics using RPC
+  const { data: metricsData } = await supabase.rpc('get_analytics_metrics', {
+    p_start_date: startDate.toISOString(),
+    p_end_date: endDate.toISOString()
+  });
 
   const analyticsData = {
-    tasks: tasks || [],
+    metrics: metricsData || {
-    projects: projects || [],
+      projectIncomeData: [],
-    finances: finances || [],
+      completedTasks: 0,
+      activeTasks: 0
+    },
+    range
   };
 
   return <AnalyticsClient data={analyticsData} />;

app/(dashboard)/dashboard-client.tsx

@@ -1,6 +1,6 @@
 "use client";
 
-import { useState } from "react";
+import { useRouter, usePathname, useSearchParams } from "next/navigation";
 import { PendingLink } from "@/components/ui/pending-link";
 import { Badge, Card, CardContent } from "poyraz-ui/atoms";
 import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from "poyraz-ui/molecules";
@@ -8,11 +8,17 @@ import { Bar, BarChart, CartesianGrid, ResponsiveContainer, Tooltip, XAxis, YAxi
 import { CheckCircle2, Wallet, FolderKanban, Activity, Users } from "lucide-react";
 
 export type DashboardData = {
-  tasks: { id: string; status: string; created_at: string; updated_at?: string; due_at?: string }[];
+  metrics: {
+    netProfit: number;
+    activeProjectsCount: number;
+    completedTasksCount: number;
+    avgMood: string;
+    financeTrend: { date: string; income: number; expense: number }[];
+    moodTrend: { date: string; mood: number; energy: number }[];
+  };
   projects: { id: string; status: string; name: string; created_at: string }[];
-  finances: { id: string; type: string; amount: number; transaction_date: string }[];
-  logs: { id: string; log_date: string; mood_score: number; energy_score: number }[];
   clients: { id: string; name: string; company_name: string; created_at: string }[];
+  range: string;
 };
 
 type DashboardClientProps = {
@@ -20,62 +26,29 @@ type DashboardClientProps = {
 };
 
 export function DashboardClient({ data }: DashboardClientProps) {
-  const [dateRange, setDateRange] = useState("this_month");
+  const router = useRouter();
-
+  const pathname = usePathname();
-  // Calculate real metrics from the `data` prop depending on `dateRange`
+  const searchParams = useSearchParams();
-  const now = new Date();
   
-  // Helper to filter by date
+  const handleRangeChange = (newRange: string) => {
-  const filterByDate = (dateStr: string | null) => {
+    const params = new URLSearchParams(searchParams.toString());
-    if (!dateStr) return false;
+    params.set("range", newRange);
-    const date = new Date(dateStr);
+    router.push(`${pathname}?${params.toString()}`);
-    if (dateRange === "today") {
-      return date.toDateString() === now.toDateString();
-    }
-    if (dateRange === "this_week") {
-      const firstDay = new Date(now.setDate(now.getDate() - now.getDay() + (now.getDay() === 0 ? -6 : 1))); // Monday
-      return date >= firstDay;
-    }
-    if (dateRange === "this_month") {
-      return date.getMonth() === now.getMonth() && date.getFullYear() === now.getFullYear();
-    }
-    return true;
   };
 
-  // KPIs
+  const { netProfit, activeProjectsCount, completedTasksCount, avgMood, financeTrend, moodTrend } = data.metrics;
-  const filteredFinances = (data.finances || []).filter(f => filterByDate(f.transaction_date));
-  const income = filteredFinances.filter(f => f.type === "income").reduce((acc, curr) => acc + Number(curr.amount), 0);
-  const expense = filteredFinances.filter(f => f.type === "expense").reduce((acc, curr) => acc + Number(curr.amount), 0);
-  const netProfit = income - expense;
 
-  const activeProjectsCount = (data.projects || []).filter(p => p.status === "active").length;
+  // Format dates for Recharts using local timezone
-  
+  const incomeTrendData = (financeTrend || []).map(f => ({
-  const completedTasksCount = (data.tasks || []).filter(t => t.status === "done" && filterByDate(t.updated_at || t.created_at)).length;
+    name: new Date(f.date).toLocaleDateString("tr-TR", { month: "short", day: "numeric" }),
+    income: f.income,
+    expense: f.expense
+  }));
 
-  const filteredLogs = (data.logs || []).filter(l => filterByDate(l.log_date));
+  const moodTrendData = (moodTrend || []).map(l => ({
-  const avgMood = filteredLogs.length > 0 
+    date: new Date(l.date).toLocaleDateString("tr-TR", { month: "short", day: "numeric" }),
-    ? (filteredLogs.reduce((acc, curr) => acc + curr.mood_score, 0) / filteredLogs.length).toFixed(1) 
+    mood: l.mood,
-    : "0.0";
+    energy: l.energy,
-
-  // Recharts Data Prep
-  // Group finances by date
-  const financeMap = new Map();
-  filteredFinances.forEach(f => {
-    const d = new Date(f.transaction_date).toLocaleDateString("tr-TR", { month: "short", day: "numeric" });
-    if (!financeMap.has(d)) {
-      financeMap.set(d, { name: d, income: 0, expense: 0 });
-    }
-    const entry = financeMap.get(d);
-    if (f.type === "income") entry.income += Number(f.amount);
-    if (f.type === "expense") entry.expense += Number(f.amount);
-  });
-  const incomeTrendData = Array.from(financeMap.values());
-
-  // Group logs by date
-  const moodTrendData = filteredLogs.map(l => ({
-    date: new Date(l.log_date).toLocaleDateString("tr-TR", { month: "short", day: "numeric" }),
-    mood: l.mood_score,
-    energy: l.energy_score,
   }));
 
   // Format currency
@@ -107,7 +80,7 @@ export function DashboardClient({ data }: DashboardClientProps) {
         </div>
 
         <div className="flex items-center gap-3">
-          <Select value={dateRange} onValueChange={setDateRange}>
+          <Select value={data.range} onValueChange={handleRangeChange}>
             <SelectTrigger className="w-[160px]">
               <SelectValue placeholder="Tarih aralığı" />
             </SelectTrigger>

app/(dashboard)/page.tsx

@@ -6,7 +6,11 @@ export const metadata = {
   title: "Dashboard - Neta",
 };
 
-export default async function DashboardPage() {
+export default async function DashboardPage({
+  searchParams,
+}: {
+  searchParams: { [key: string]: string | string[] | undefined };
+}) {
   const supabase = await createClient();
   const { data: { user } } = await supabase.auth.getUser();
 
@@ -14,41 +18,48 @@ export default async function DashboardPage() {
     redirect("/login");
   }
 
-  // Get current date and date 30 days ago
+  const range = typeof searchParams.range === "string" ? searchParams.range : "this_month";
-  const today = new Date();
-  const thirtyDaysAgo = new Date();
-  thirtyDaysAgo.setDate(thirtyDaysAgo.getDate() - 30);
   
-  const todayStr = today.toISOString();
+  const now = new Date();
-  const thirtyDaysAgoStr = thirtyDaysAgo.toISOString();
+  let startDate = new Date();
+  let endDate = new Date(now.getFullYear(), now.getMonth() + 1, 0, 23, 59, 59); // default to end of month
+  
+  if (range === "today") {
+    startDate = new Date(now.getFullYear(), now.getMonth(), now.getDate(), 0, 0, 0);
+    endDate = new Date(now.getFullYear(), now.getMonth(), now.getDate(), 23, 59, 59);
+  } else if (range === "this_week") {
+    // Reset `now` because setDate mutates
+    const tempNow = new Date();
+    const firstDay = new Date(tempNow.setDate(tempNow.getDate() - tempNow.getDay() + (tempNow.getDay() === 0 ? -6 : 1)));
+    firstDay.setHours(0, 0, 0, 0);
+    startDate = firstDay;
+    endDate = new Date(firstDay.getTime());
+    endDate.setDate(endDate.getDate() + 6);
+    endDate.setHours(23, 59, 59, 999);
+  } else if (range === "this_month") {
+    startDate = new Date(now.getFullYear(), now.getMonth(), 1, 0, 0, 0);
+    endDate = new Date(now.getFullYear(), now.getMonth() + 1, 0, 23, 59, 59);
+  } else if (range === "this_year") {
+    startDate = new Date(now.getFullYear(), 0, 1, 0, 0, 0);
+    endDate = new Date(now.getFullYear(), 11, 31, 23, 59, 59);
+  }
 
-  // Fetch all dashboard data in parallel with only needed columns
+  // Fetch metrics using RPC
+  const { data: metricsData } = await supabase.rpc('get_dashboard_metrics', {
+    p_start_date: startDate.toISOString(),
+    p_end_date: endDate.toISOString()
+  });
+
+  // Fetch limited recent data
   const [
-    { data: tasks },
     { data: projects },
-    { data: finances },
-    { data: logs },
     { data: clients },
   ] = await Promise.all([
-    supabase
-      .from("tasks")
-      .select("id, status, created_at, updated_at, due_at")
-      .or(`due_at.gte.${thirtyDaysAgoStr},created_at.gte.${thirtyDaysAgoStr}`)
-      .order("due_at", { ascending: true }),
     supabase
       .from("projects")
       .select("id, status, name, created_at")
-      .order("created_at", { ascending: false }),
+      .order("created_at", { ascending: false })
-    supabase
+      .limit(5),
-      .from("finance_transactions")
-      .select("id, type, amount, transaction_date")
-      .gte("transaction_date", thirtyDaysAgoStr)
-      .order("transaction_date", { ascending: true }),
-    supabase
-      .from("daily_logs")
-      .select("id, log_date, mood_score, energy_score")
-      .gte("log_date", thirtyDaysAgoStr)
-      .order("log_date", { ascending: true }),
     supabase
       .from("clients")
       .select("id, name, company_name, created_at")
@@ -57,11 +68,17 @@ export default async function DashboardPage() {
   ]);
 
   const dashboardData = {
-    tasks: tasks || [],
+    metrics: metricsData || {
+      netProfit: 0,
+      activeProjectsCount: 0,
+      completedTasksCount: 0,
+      avgMood: "0.0",
+      financeTrend: [],
+      moodTrend: []
+    },
     projects: projects || [],
-    finances: finances || [],
-    logs: logs || [],
     clients: clients || [],
+    range
   };
 
   return <DashboardClient data={dashboardData} />;

docs/04-supabase-kurulumu.md

@@ -24,7 +24,7 @@ Repo içinde `supabase/` ve `docs/database/` klasörleri tutulmaya devam eder. B
 
 ## Tek Seferlik Kurulum SQL'i
 
-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.
+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.
 
 Demo seed verisi bu dosyaya dahil değildir. Production kurulumda örnek veri istemediğim için seed ayrı tutulur.
 
@@ -98,6 +98,8 @@ Uygulama şu function/RPC yapılarına ihtiyaç duyar:
 - `is_first_admin_setup_available`
 - `request_internal_auth_creation`
 - `match_documents`
+- `get_dashboard_metrics` — Dashboard KPI ve grafik verilerini sunucu tarafında hesaplar
+- `get_analytics_metrics` — Analiz sayfası proje gelir dağılımı ve görev istatistiklerini hesaplar
 - Yeni auth user için profile oluşturan trigger/function
 - Proje ilerlemesini görev durumuna göre güncelleyen trigger/function
 

supabase/migrations/0012_add_analytics_rpcs.sql

@@ -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 $$
+DECLARE
+  v_user_id UUID := auth.uid();
+  v_project_income JSONB;
+  v_completed_tasks INT;
+  v_active_tasks INT;
+BEGIN
+  IF v_user_id IS NULL THEN
+    RAISE EXCEPTION 'Not authenticated';
+  END IF;
+
+  -- 1. Project Income Data
+  SELECT COALESCE(jsonb_agg(
+    jsonb_build_object(
+      'name', t.p_name,
+      'value', t.total_amount
+    )
+  ), '[]'::jsonb) INTO v_project_income
+  FROM (
+    SELECT 
+      COALESCE(p.name, 'Bilinmeyen') AS p_name,
+      SUM(f.amount) AS total_amount
+    FROM finance_transactions f
+    LEFT JOIN projects p ON f.project_id = p.id
+    WHERE f.user_id = v_user_id AND f.type = 'income'
+      AND f.transaction_date >= p_start_date::date AND f.transaction_date <= p_end_date::date
+    GROUP BY p.name
+    ORDER BY total_amount DESC
+  ) t;
+
+  -- 2. Task completion stats
+  SELECT COUNT(*) INTO v_completed_tasks
+  FROM tasks
+  WHERE user_id = v_user_id AND status = 'done'
+    AND COALESCE(due_at, created_at) >= p_start_date AND COALESCE(due_at, created_at) <= p_end_date;
+
+  SELECT COUNT(*) INTO v_active_tasks
+  FROM tasks
+  WHERE user_id = v_user_id AND status != 'done' AND status != 'cancelled'
+    AND COALESCE(due_at, created_at) >= p_start_date AND COALESCE(due_at, created_at) <= p_end_date;
+
+  RETURN jsonb_build_object(
+    'projectIncomeData', v_project_income,
+    'completedTasks', v_completed_tasks,
+    'activeTasks', v_active_tasks
+  );
+END;
+$$;

supabase/setup.sql

@@ -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';