feat([2fd88f42]): initial setup of heatmap tool

This commit is contained in:
2026-02-04 11:30:47 +00:00
parent 9983df54aa
commit 3a85514820
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# Heatmap Tool
This directory contains a standalone web application for visualizing data from XLSX files as a heatmap on a map of Germany.
## Description
The application allows users to upload an XLSX file containing German postal codes (PLZ). It then aggregates the data by postal code and displays it as a heatmap, where the color and size of the markers represent the density of records. The tool automatically detects other columns in the file and creates dynamic filters, allowing users to slice the data and visualize different segments.
## Getting Started
To run the application, navigate to the `heatmap-tool` directory and follow the instructions in its `README.md` file.
```bash
cd heatmap-tool
```
Then follow the instructions in `heatmap-tool/README.md`.

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# Use an official Python runtime as a parent image
FROM python:3.9-slim
# Set the working directory in the container
WORKDIR /app
# Copy the requirements file into the container at /app
COPY requirements.txt .
# Install any needed packages specified in requirements.txt
RUN pip install --no-cache-dir -r requirements.txt
# Copy the rest of the application's code from the host to the container at /app
COPY . .
# Expose port 8000 to the outside world
EXPOSE 8000
# Command to run the application
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]

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from fastapi import FastAPI, File, UploadFile, HTTPException
from fastapi.middleware.cors import CORSMiddleware
import pandas as pd
import io
from pydantic import BaseModel
from typing import Dict, List
app = FastAPI()
# Configure CORS
app.add_middleware(
CORSMiddleware,
allow_origins=["*"], # Allows all origins
allow_credentials=True,
allow_methods=["*"], # Allows all methods
allow_headers=["*"], # Allows all headers
)
# --- In-memory Storage ---
df_storage = None
plz_column_name = None
# --- Dummy Geocoding Data (IMPORTANT: TO BE REPLACED) ---
# This is a tiny subset of German postal codes for demonstration purposes only.
# A real implementation MUST load a comprehensive PLZ dataset from a file
# (e.g., a CSV or GeoJSON file) for the application to be useful.
PLZ_COORDINATES = {
"10115": {"lat": 52.53, "lon": 13.38}, # Berlin
"20095": {"lat": 53.55, "lon": 9.99}, # Hamburg
"80331": {"lat": 48.13, "lon": 11.57}, # Munich
"50667": {"lat": 50.93, "lon": 6.95}, # Cologne
"60311": {"lat": 50.11, "lon": 8.68}, # Frankfurt
}
# --- Pydantic Models ---
class FilterRequest(BaseModel):
filters: Dict[str, List[str]]
# --- API Endpoints ---
@app.get("/")
def read_root():
return {"message": "Heatmap Tool Backend"}
@app.post("/api/upload")
async def upload_file(file: UploadFile = File(...)):
global df_storage, plz_column_name
if not file.filename.endswith('.xlsx'):
raise HTTPException(status_code=400, detail="Invalid file format. Please upload an .xlsx file.")
try:
contents = await file.read()
df = pd.read_excel(io.BytesIO(contents), dtype=str) # Read all as string to be safe
df.fillna('N/A', inplace=True)
# --- PLZ Column Detection ---
temp_plz_col = None
for col in df.columns:
if 'plz' in col.lower():
temp_plz_col = col
break
if not temp_plz_col:
raise HTTPException(status_code=400, detail="No column with 'PLZ' found in the file.")
plz_column_name = temp_plz_col
# Normalize PLZ data
df[plz_column_name] = df[plz_column_name].str.strip().str.zfill(5)
# --- Dynamic Filter Detection ---
filters = {}
for col in df.columns:
if col != plz_column_name:
unique_values = df[col].unique().tolist()
filters[col] = sorted(unique_values)
df_storage = df
return {"filename": file.filename, "filters": filters, "plz_column": plz_column_name}
except Exception as e:
raise HTTPException(status_code=500, detail=f"An error occurred while processing the file: {e}")
@app.post("/api/heatmap")
async def get_heatmap_data(request: FilterRequest):
global df_storage, plz_column_name
if df_storage is None:
raise HTTPException(status_code=404, detail="No data available. Please upload a file first.")
try:
filtered_df = df_storage.copy()
# Apply filters from the request
for column, values in request.filters.items():
if values: # Only filter if there are values selected
filtered_df = filtered_df[filtered_df[column].isin(values)]
if filtered_df.empty:
return []
# Aggregate data by PLZ
plz_counts = filtered_df.groupby(plz_column_name).size().reset_index(name='count')
# --- Geocoding Step ---
# In a real app, this would be a merge/join with a proper geo dataset
heatmap_data = []
for _, row in plz_counts.iterrows():
plz = row[plz_column_name]
coords = PLZ_COORDINATES.get(plz)
if coords:
heatmap_data.append({
"plz": plz,
"lat": coords["lat"],
"lon": coords["lon"],
"count": row["count"]
})
return heatmap_data
except Exception as e:
raise HTTPException(status_code=500, detail=f"An error occurred while generating heatmap data: {e}")

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fastapi
uvicorn[standard]
pandas
openpyxl
python-multipart

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version: '3.8'
services:
backend:
build: ./backend
ports:
- "8000:8000"
volumes:
- ./backend:/app
frontend:
build: ./frontend
ports:
- "5173:5173"
volumes:
- ./frontend:/app
- /app/frontend/node_modules # prevent host node_modules from overwriting container

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heatmap-tool/frontend/.gitignore vendored Normal file
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# Logs
logs
*.log
npm-debug.log*
yarn-debug.log*
yarn-error.log*
pnpm-debug.log*
lerna-debug.log*
node_modules
dist
dist-ssr
*.local
# Editor directories and files
.vscode/*
!.vscode/extensions.json
.idea
.DS_Store
*.suo
*.ntvs*
*.njsproj
*.sln
*.sw?

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# Use an official Node.js runtime as a parent image
FROM node:18-alpine
# Set the working directory in the container
WORKDIR /app
# Copy package.json and package-lock.json to the container
COPY package.json package-lock.json ./
# Install dependencies
RUN npm install
# Copy the rest of the application's code
COPY . .
# Expose the port the app runs on
EXPOSE 5173
# Command to run the development server
CMD ["npm", "run", "dev"]

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# React + TypeScript + Vite
This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules.
Currently, two official plugins are available:
- [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react) uses [Babel](https://babeljs.io/) (or [oxc](https://oxc.rs) when used in [rolldown-vite](https://vite.dev/guide/rolldown)) for Fast Refresh
- [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react-swc) uses [SWC](https://swc.rs/) for Fast Refresh
## React Compiler
The React Compiler is not enabled on this template because of its impact on dev & build performances. To add it, see [this documentation](https://react.dev/learn/react-compiler/installation).
## Expanding the ESLint configuration
If you are developing a production application, we recommend updating the configuration to enable type-aware lint rules:
```js
export default defineConfig([
globalIgnores(['dist']),
{
files: ['**/*.{ts,tsx}'],
extends: [
// Other configs...
// Remove tseslint.configs.recommended and replace with this
tseslint.configs.recommendedTypeChecked,
// Alternatively, use this for stricter rules
tseslint.configs.strictTypeChecked,
// Optionally, add this for stylistic rules
tseslint.configs.stylisticTypeChecked,
// Other configs...
],
languageOptions: {
parserOptions: {
project: ['./tsconfig.node.json', './tsconfig.app.json'],
tsconfigRootDir: import.meta.dirname,
},
// other options...
},
},
])
```
You can also install [eslint-plugin-react-x](https://github.com/Rel1cx/eslint-react/tree/main/packages/plugins/eslint-plugin-react-x) and [eslint-plugin-react-dom](https://github.com/Rel1cx/eslint-react/tree/main/packages/plugins/eslint-plugin-react-dom) for React-specific lint rules:
```js
// eslint.config.js
import reactX from 'eslint-plugin-react-x'
import reactDom from 'eslint-plugin-react-dom'
export default defineConfig([
globalIgnores(['dist']),
{
files: ['**/*.{ts,tsx}'],
extends: [
// Other configs...
// Enable lint rules for React
reactX.configs['recommended-typescript'],
// Enable lint rules for React DOM
reactDom.configs.recommended,
],
languageOptions: {
parserOptions: {
project: ['./tsconfig.node.json', './tsconfig.app.json'],
tsconfigRootDir: import.meta.dirname,
},
// other options...
},
},
])
```

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import js from '@eslint/js'
import globals from 'globals'
import reactHooks from 'eslint-plugin-react-hooks'
import reactRefresh from 'eslint-plugin-react-refresh'
import tseslint from 'typescript-eslint'
import { defineConfig, globalIgnores } from 'eslint/config'
export default defineConfig([
globalIgnores(['dist']),
{
files: ['**/*.{ts,tsx}'],
extends: [
js.configs.recommended,
tseslint.configs.recommended,
reactHooks.configs.flat.recommended,
reactRefresh.configs.vite,
],
languageOptions: {
ecmaVersion: 2020,
globals: globals.browser,
},
},
])

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<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<link rel="icon" type="image/svg+xml" href="/vite.svg" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Heatmap Tool</title>
<link rel="stylesheet" href="https://unpkg.com/leaflet@1.9.4/dist/leaflet.css"
integrity="sha256-p4NxAoJBhIIN+hmNHrzRCf9tD/miZyoHS5obTRR9BMY="
crossorigin=""/>
</head>
<body>
<div id="root"></div>
<script type="module" src="/src/main.tsx"></script>
</body>
</html>

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{
"name": "frontend",
"private": true,
"version": "0.0.0",
"type": "module",
"scripts": {
"dev": "vite --host",
"build": "tsc -b && vite build",
"lint": "eslint .",
"preview": "vite preview"
},
"dependencies": {
"axios": "^1.13.4",
"leaflet": "^1.9.4",
"react": "^19.2.0",
"react-dom": "^19.2.0",
"react-leaflet": "^5.0.0"
},
"devDependencies": {
"@eslint/js": "^9.39.1",
"@types/leaflet": "^1.9.21",
"@types/node": "^24.10.1",
"@types/react": "^19.2.5",
"@types/react-dom": "^19.2.3",
"@vitejs/plugin-react": "^5.1.1",
"eslint": "^9.39.1",
"eslint-plugin-react-hooks": "^7.0.1",
"eslint-plugin-react-refresh": "^0.4.24",
"globals": "^16.5.0",
"typescript": "~5.9.3",
"typescript-eslint": "^8.46.4",
"vite": "^7.2.4"
}
}

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<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" class="iconify iconify--logos" width="31.88" height="32" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 257"><defs><linearGradient id="IconifyId1813088fe1fbc01fb466" x1="-.828%" x2="57.636%" y1="7.652%" y2="78.411%"><stop offset="0%" stop-color="#41D1FF"></stop><stop offset="100%" stop-color="#BD34FE"></stop></linearGradient><linearGradient id="IconifyId1813088fe1fbc01fb467" x1="43.376%" x2="50.316%" y1="2.242%" y2="89.03%"><stop offset="0%" stop-color="#FFEA83"></stop><stop offset="8.333%" stop-color="#FFDD35"></stop><stop offset="100%" stop-color="#FFA800"></stop></linearGradient></defs><path fill="url(#IconifyId1813088fe1fbc01fb466)" d="M255.153 37.938L134.897 252.976c-2.483 4.44-8.862 4.466-11.382.048L.875 37.958c-2.746-4.814 1.371-10.646 6.827-9.67l120.385 21.517a6.537 6.537 0 0 0 2.322-.004l117.867-21.483c5.438-.991 9.574 4.796 6.877 9.62Z"></path><path fill="url(#IconifyId1813088fe1fbc01fb467)" d="M185.432.063L96.44 17.501a3.268 3.268 0 0 0-2.634 3.014l-5.474 92.456a3.268 3.268 0 0 0 3.997 3.378l24.777-5.718c2.318-.535 4.413 1.507 3.936 3.838l-7.361 36.047c-.495 2.426 1.782 4.5 4.151 3.78l15.304-4.649c2.372-.72 4.652 1.36 4.15 3.788l-11.698 56.621c-.732 3.542 3.979 5.473 5.943 2.437l1.313-2.028l72.516-144.72c1.215-2.423-.88-5.186-3.54-4.672l-25.505 4.922c-2.396.462-4.435-1.77-3.759-4.114l16.646-57.705c.677-2.35-1.37-4.583-3.769-4.113Z"></path></svg>

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/* General App Styling */
:root {
font-family: Inter, system-ui, Avenir, Helvetica, Arial, sans-serif;
line-height: 1.5;
font-weight: 400;
color-scheme: light dark;
color: rgba(255, 255, 255, 0.87);
background-color: #242424;
}
body {
margin: 0;
display: flex;
place-items: center;
min-width: 320px;
min-height: 100vh;
}
#root {
width: 100%;
height: 100vh;
margin: 0;
padding: 0;
text-align: center;
}
/* Layout Styling */
.App {
display: flex;
flex-direction: column;
height: 100vh;
text-align: left;
}
.App-header {
background-color: #282c34;
padding: 10px 20px;
color: white;
flex-shrink: 0;
}
.App-header h1 {
font-size: 1.5em;
margin: 0;
}
.App-main {
display: flex;
flex-grow: 1;
overflow: hidden; /* Prevent scrolling at the main level */
}
.control-panel {
width: 350px;
padding: 20px;
background-color: #333;
overflow-y: auto; /* Allow scrolling if filters are many */
flex-shrink: 0;
box-shadow: 2px 0 5px rgba(0,0,0,0.5);
z-index: 10;
}
.map-container {
flex-grow: 1;
background-color: #1e1e1e;
position: relative; /* Needed for loading/error overlays */
}
.map-container .error {
color: #ff6b6b;
position: absolute;
top: 50%;
left: 50%;
transform: translate(-50%, -50%);
background-color: rgba(0, 0, 0, 0.7);
padding: 20px;
border-radius: 8px;
}
.map-container p {
position: absolute;
top: 50%;
left: 50%;
transform: translate(-50%, -50%);
}

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import { useState } from 'react';
import axios from 'axios';
import './App.css';
import FileUpload from './components/FileUpload';
import FilterPanel from './components/FilterPanel';
import MapDisplay from './components/MapDisplay';
// Define types for our state
export interface FilterOptions {
[key: string]: string[];
}
export interface HeatmapPoint {
plz: string;
lat: number;
lon: number;
count: number;
}
function App() {
const [filters, setFilters] = useState<FilterOptions>({});
const [heatmapData, setHeatmapData] = useState<HeatmapPoint[]>([]);
const [isLoading, setIsLoading] = useState(false);
const [error, setError] = useState<string | null>(null);
const handleUploadSuccess = (newFilters: FilterOptions) => {
setFilters(newFilters);
setHeatmapData([]); // Clear previous heatmap data
setError(null);
// Automatically fetch data with no filters on successful upload
handleFilterChange({});
};
const handleFilterChange = async (selectedFilters: FilterOptions) => {
setIsLoading(true);
setError(null);
try {
const response = await axios.post('http://localhost:8000/api/heatmap', {
filters: selectedFilters,
});
setHeatmapData(response.data);
} catch (error: any) {
if (axios.isAxiosError(error) && error.response) {
setError(`Failed to fetch heatmap data: ${error.response.data.detail || error.message}`);
} else {
setError(`Failed to fetch heatmap data: ${error.message}`);
}
setHeatmapData([]); // Clear data on error
} finally {
setIsLoading(false);
}
};
return (
<div className="App">
<header className="App-header">
<h1>German PLZ Heatmap Tool</h1>
</header>
<main className="App-main">
<div className="control-panel">
<FileUpload
onUploadSuccess={handleUploadSuccess}
setIsLoading={setIsLoading}
setError={setError}
/>
<FilterPanel
filters={filters}
onFilterChange={handleFilterChange}
isLoading={isLoading}
/>
</div>
<div className="map-container">
{isLoading && <p>Loading map data...</p>}
{error && <p className="error">{error}</p>}
<MapDisplay heatmapData={heatmapData} />
</div>
</main>
</div>
);
}
export default App;

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// src/components/FileUpload.tsx
import React, { useState } from 'react';
import axios from 'axios';
interface FilterOptions {
[key: string]: string[];
}
interface FileUploadProps {
onUploadSuccess: (filters: FilterOptions) => void;
setIsLoading: (isLoading: boolean) => void;
setError: (error: string | null) => void;
}
const FileUpload: React.FC<FileUploadProps> = ({ onUploadSuccess, setIsLoading, setError }) => {
const [selectedFile, setSelectedFile] = useState<File | null>(null);
const handleFileChange = (event: React.ChangeEvent<HTMLInputElement>) => {
if (event.target.files) {
setSelectedFile(event.target.files[0]);
}
};
const handleSubmit = async (event: React.FormEvent<HTMLFormElement>) => {
event.preventDefault();
if (!selectedFile) {
setError("Please select a file first.");
return;
}
if (!selectedFile.name.endsWith('.xlsx')) {
setError("Invalid file type. Please upload an .xlsx file.");
return;
}
const formData = new FormData();
formData.append('file', selectedFile);
setIsLoading(true);
setError(null);
try {
const response = await axios.post('http://localhost:8000/api/upload', formData, {
headers: {
'Content-Type': 'multipart/form-data',
},
});
onUploadSuccess(response.data.filters);
} catch (error: any) {
if (axios.isAxiosError(error) && error.response) {
setError(`Upload failed: ${error.response.data.detail || error.message}`);
} else {
setError(`Upload failed: ${error.message}`);
}
} finally {
setIsLoading(false);
}
};
return (
<div className="file-upload">
<h3>Upload XLSX File</h3>
<form onSubmit={handleSubmit}>
<input type="file" accept=".xlsx" onChange={handleFileChange} />
<button type="submit" disabled={!selectedFile}>Upload</button>
</form>
</div>
);
};
export default FileUpload;

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// src/components/FilterPanel.tsx
import React, { useState, useEffect } from 'react';
interface FilterOptions {
[key: string]: string[];
}
interface FilterPanelProps {
filters: FilterOptions;
onFilterChange: (selectedFilters: FilterOptions) => void;
isLoading: boolean;
}
const FilterPanel: React.FC<FilterPanelProps> = ({ filters, onFilterChange, isLoading }) => {
const [selectedFilters, setSelectedFilters] = useState<FilterOptions>({});
// Reset selected filters when a new file is uploaded (filters prop changes)
useEffect(() => {
setSelectedFilters({});
}, [filters]);
const handleSelectionChange = (category: string, values: string[]) => {
setSelectedFilters(prev => ({
...prev,
[category]: values,
}));
};
const handleApplyClick = () => {
onFilterChange(selectedFilters);
}
const handleResetClick = () => {
setSelectedFilters({});
onFilterChange({});
}
if (Object.keys(filters).length === 0) {
return <div>Upload a file to see filter options.</div>;
}
return (
<div className="filter-panel">
<h3>Filters</h3>
{Object.entries(filters).map(([category, options]) => (
<div key={category} className="filter-group">
<label>{category}</label>
<select
multiple
value={selectedFilters[category] || []}
onChange={(e) =>
handleSelectionChange(category, Array.from(e.target.selectedOptions, option => option.value))
}
>
{options.map(option => (
<option key={option} value={option}>
{option}
</option>
))}
</select>
</div>
))}
<div className="filter-buttons">
<button onClick={handleApplyClick} disabled={isLoading}>
{isLoading ? 'Loading...' : 'Apply Filters'}
</button>
<button onClick={handleResetClick} disabled={isLoading}>
Reset Filters
</button>
</div>
</div>
);
};
export default FilterPanel;

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// src/components/MapDisplay.tsx
import React from 'react';
import { MapContainer, TileLayer, CircleMarker, Tooltip } from 'react-leaflet';
import 'leaflet/dist/leaflet.css';
import { HeatmapPoint } from '../App'; // Assuming type is exported from App.tsx
interface MapDisplayProps {
heatmapData: HeatmapPoint[];
}
const MapDisplay: React.FC<MapDisplayProps> = ({ heatmapData }) => {
const germanyCenter: [number, number] = [51.1657, 10.4515];
// Simple scaling function for marker radius
const calculateRadius = (count: number) => {
return 5 + Math.log(count + 1) * 5;
};
// Simple color scaling function
const getColor = (count: number, maxCount: number) => {
const ratio = count / maxCount;
if (ratio > 0.8) return 'red';
if (ratio > 0.5) return 'orange';
if (ratio > 0.2) return 'yellow';
return 'green';
}
const maxCount = Math.max(...heatmapData.map(p => p.count), 1);
if (heatmapData.length === 0) {
return (
<div style={{ textAlign: 'center', paddingTop: '50px' }}>
<p>No data to display on the map.</p>
<p>Upload a file and apply filters to see the heatmap.</p>
</div>
);
}
return (
<MapContainer center={germanyCenter} zoom={6} style={{ height: '100%', width: '100%' }}>
<TileLayer
url="https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png"
attribution='&copy; <a href="https://www.openstreetmap.org/copyright">OpenStreetMap</a> contributors'
/>
{heatmapData.map((point, idx) => (
<CircleMarker
key={idx}
center={[point.lat, point.lon]}
radius={calculateRadius(point.count)}
pathOptions={{
color: getColor(point.count, maxCount),
fillColor: getColor(point.count, maxCount),
fillOpacity: 0.7
}}
>
<Tooltip>
PLZ: {point.plz} <br />
Count: {point.count}
</Tooltip>
</CircleMarker>
))}
</MapContainer>
);
};
export default MapDisplay;

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:root {
font-family: system-ui, Avenir, Helvetica, Arial, sans-serif;
line-height: 1.5;
font-weight: 400;
color-scheme: light dark;
color: rgba(255, 255, 255, 0.87);
background-color: #242424;
font-synthesis: none;
text-rendering: optimizeLegibility;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
}
a {
font-weight: 500;
color: #646cff;
text-decoration: inherit;
}
a:hover {
color: #535bf2;
}
body {
margin: 0;
display: flex;
place-items: center;
min-width: 320px;
min-height: 100vh;
}
h1 {
font-size: 3.2em;
line-height: 1.1;
}
button {
border-radius: 8px;
border: 1px solid transparent;
padding: 0.6em 1.2em;
font-size: 1em;
font-weight: 500;
font-family: inherit;
background-color: #1a1a1a;
cursor: pointer;
transition: border-color 0.25s;
}
button:hover {
border-color: #646cff;
}
button:focus,
button:focus-visible {
outline: 4px auto -webkit-focus-ring-color;
}
@media (prefers-color-scheme: light) {
:root {
color: #213547;
background-color: #ffffff;
}
a:hover {
color: #747bff;
}
button {
background-color: #f9f9f9;
}
}

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import { StrictMode } from 'react'
import { createRoot } from 'react-dom/client'
import './index.css'
import App from './App.tsx'
createRoot(document.getElementById('root')!).render(
<StrictMode>
<App />
</StrictMode>,
)

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import { defineConfig } from 'vite'
import react from '@vitejs/plugin-react'
// https://vite.dev/config/
export default defineConfig({
plugins: [react()],
})