pontusab

"use client";

import { useRouter } from "next/navigation";
import type { ReactNode } from "react";
import { useCallback, useEffect, useState } from "react";

interface ProximityPrefetchProps {
  children: ReactNode;
  threshold?: number;
  predictionInterval?: number;

pontusab

-- This SQL code defines functions for calculating similarity scores optimized for reconciliation
-- between transactions and inbox items (e.g., invoices). It focuses on high precision to avoid incorrect matches.

-- Function: calculate_name_similarity_score
-- Purpose: Calculates similarity score between transaction and inbox item names
-- Input: transaction_name (text), inbox_name (text)
-- Output: numeric (0 to 0.6)
create or replace function calculate_name_similarity_score(
  transaction_name text,
  inbox_name text

pontusab

create or replace function get_profit (
  team_id uuid,
  date_from date,
  date_to date,
  currency text
) returns table (
	date timestamp with time zone, 
	value numeric
) language plpgsql as $$
begin

pontusab

"use client";

import { Button } from "@midday/ui/button";
import { Dialog, DialogContent, DialogTrigger } from "@midday/ui/dialog";
import { Icons } from "@midday/ui/icons";
import { Skeleton } from "@midday/ui/skeleton";
import { cn } from "@midday/ui/utils";
import { AnimatePresence, motion } from "framer-motion";
import { useEffect, useState } from "react";
import { Document, Page, pdfjs } from "react-pdf";

pontusab

import crypto from "node:crypto";
import { ChatPromptTemplate } from "@langchain/core/prompts";
import { ChatOpenAI } from "@langchain/openai";
import { eventTrigger } from "@trigger.dev/sdk";
import { capitalCase } from "change-case";
import * as d3 from "d3-dsv";
import { CSVLoader } from "langchain/document_loaders/fs/csv";
import { TokenTextSplitter } from "langchain/text_splitter";
import { z } from "zod";
import { client, supabase } from "../client";

pontusab

import { ChatPromptTemplate } from "@langchain/core/prompts";
import { ChatOpenAI } from "@langchain/openai";
import { eventTrigger } from "@trigger.dev/sdk";
import { capitalCase } from "change-case";
import * as d3 from "d3-dsv";
import { CSVLoader } from "langchain/document_loaders/fs/csv";
import { TokenTextSplitter } from "langchain/text_splitter";
import { z } from "zod";
import { client, supabase } from "../client";
import { Events, Jobs } from "../constants";

pontusab

const completion = await io.openai.chat.completions.create("completion", {
        model: "gpt-3.5-turbo",
        messages: [
          {
            role: "system",
            content:
              "You are a invoice parser. From this invoice extract total amount, due date, issuer name, currency and transform currency value to currency code and return it as currency. Return the response in JSON format",
          },
          {
            role: "user",

pontusab

export const getMetrics = async (params) => {
  const supabase = createClient();

  const user = await getUser();
  const teamId = user?.data?.team_id;

  if (!teamId) {
    return null;
  }

pontusab

import { Novu } from "@novu/node";

const novu = new Novu(process.env.NOVU_API_KEY!);
const API_ENDPOINT = "https://api.novu.co/v1";

export enum TriggerEvents {
  TransactionNew = "transaction_new",
}

type TriggerUser = {

pontusab

"use client";

import { useNotifications } from "@/hooks/use-notifications";
import { Button } from "@midday/ui/button";
import { Icons } from "@midday/ui/icons";
import { Popover, PopoverContent, PopoverTrigger } from "@midday/ui/popover";
import { ScrollArea } from "@midday/ui/scroll-area";
import { Tabs, TabsContent, TabsList, TabsTrigger } from "@midday/ui/tabs";
import { formatDistanceToNow } from "date-fns";
import Link from "next/link";