style(core): apply project-wide formatting with Prettier

Author: devsebastian44

README.md

@@ -8,32 +8,32 @@ CollabData is a web platform that enables users to manage data analysis projects
 
 ## 🔑 Key Features
 
-*   **🔐 User Authentication:** A complete login, registration, and social authentication system using Google and GitHub.
-*   **📊 Project Dashboard:** A central dashboard to view, search, filter, and manage all analysis projects.
-*   **✨ New Analysis Creation:** A guided workflow for creating new analysis projects, configuring tools, and uploading datasets.
-*   **📈 Results Visualization:** Dynamic results dashboards with KPIs, charts, descriptive statistics tables, and AI-generated insights.
-*   **💻 Interactive Workspace:** An IDE-like workspace for exploring data files.
-*   **👤 Profile Management:** A settings page for users to update their personal information and manage their account.
-*   **🤖 AI Integration:** Leverages Genkit to provide intelligent analysis suggestions based on dataset descriptions.
+- **🔐 User Authentication:** A complete login, registration, and social authentication system using Google and GitHub.
+- **📊 Project Dashboard:** A central dashboard to view, search, filter, and manage all analysis projects.
+- **✨ New Analysis Creation:** A guided workflow for creating new analysis projects, configuring tools, and uploading datasets.
+- **📈 Results Visualization:** Dynamic results dashboards with KPIs, charts, descriptive statistics tables, and AI-generated insights.
+- **💻 Interactive Workspace:** An IDE-like workspace for exploring data files.
+- **👤 Profile Management:** A settings page for users to update their personal information and manage their account.
+- **🤖 AI Integration:** Leverages Genkit to provide intelligent analysis suggestions based on dataset descriptions.
 
 ## 🛠️ Tech Stack
 
-*   **Framework:** [Next.js](https://nextjs.org/)
-*   **UI Library:** [React](https://react.dev/)
-*   **Language:** [TypeScript](https://www.typescriptlang.org/)
-*   **Styling:** [Tailwind CSS](https://tailwindcss.com/)
-*   **UI Components:** [ShadCN UI](https://ui.shadcn.com/)
-*   **Backend & Auth:** [Firebase](https://firebase.google.com/) (Authentication, Firestore)
-*   **Generative AI:** [Genkit](https://firebase.google.com/docs/genkit) (Google AI)
+- **Framework:** [Next.js](https://nextjs.org/)
+- **UI Library:** [React](https://react.dev/)
+- **Language:** [TypeScript](https://www.typescriptlang.org/)
+- **Styling:** [Tailwind CSS](https://tailwindcss.com/)
+- **UI Components:** [ShadCN UI](https://ui.shadcn.com/)
+- **Backend & Auth:** [Firebase](https://firebase.google.com/) (Authentication, Firestore)
+- **Generative AI:** [Genkit](https://firebase.google.com/docs/genkit) (Google AI)
 
 ## 🚀 Getting Started
 
 Follow these steps to get the development environment running.
 
 ### Prerequisites
 
-*   Node.js (v18 or higher)
-*   npm
+- Node.js (v18 or higher)
+- npm
 
 ### Installation & Execution
 
@@ -93,4 +93,4 @@ Here is an overview of the most important files and directories in the project:
 ├── public/                     # Static files
 ├── package.json                # Project dependencies and scripts
 └── tailwind.config.ts          # Tailwind CSS configuration
-```
+```

components.json

@@ -18,4 +18,4 @@
     "hooks": "@/hooks"
   },
   "iconLibrary": "lucide"
-}
+}

docs/backend.json

@@ -1,10 +1,6 @@
 {
   "entities": {},
   "auth": {
-    "providers": [
-      "email-password",
-      "google.com",
-      "github.com"
-    ]
+    "providers": ["email-password", "google.com", "github.com"]
   }
 }

docs/blueprint.md

@@ -6,7 +6,7 @@
 - Dataset Upload: Users can upload datasets in CSV, XLSX, or JSON formats.
 - Shared Projects: Users can create and manage shared projects for collaborative analysis.
 - Dynamic EDA Selection: Users can select EDA functions (descriptive statistics, histograms, boxplots, scatter plots, heatmaps) from the UI to be performed on their datasets.
-- AI-Powered Data Insights: The app will provide suggestions for analyses based on dataset content, column datatypes and overall patterns using a tool that determines if each piece of information should be incorporated or not. 
+- AI-Powered Data Insights: The app will provide suggestions for analyses based on dataset content, column datatypes and overall patterns using a tool that determines if each piece of information should be incorporated or not.
 - Results Visualization: Display analysis results using Matplotlib and Seaborn within the application.
 - Scalable Architecture: A modular backend architecture designed to scale efficiently using FastAPI and Pandas.
 
@@ -19,4 +19,4 @@
 - Headline font: 'Playfair' (serif) for an elegant title.
 - Material Symbols for a modern, consistent design.
 - Responsive grid-based layout for optimal viewing on different devices.
-- Subtle transitions for interactive elements, like buttons and menu items.
+- Subtle transitions for interactive elements, like buttons and menu items.

eslint.config.js

@@ -99,7 +99,12 @@ export default [
     },
   },
   {
-    files: ['**/*.config.{js,mjs,ts}', 'tailwind.config.ts', 'prettier.config.js', 'postcss.config.mjs'],
+    files: [
+      '**/*.config.{js,mjs,ts}',
+      'tailwind.config.ts',
+      'prettier.config.js',
+      'postcss.config.mjs',
+    ],
     languageOptions: {
       ecmaVersion: 'latest',
       sourceType: 'module',
@@ -142,12 +147,6 @@ export default [
     },
   },
   {
-    ignores: [
-      '.next/**',
-      'node_modules/**',
-      'dist/**',
-      'build/**',
-      'out/**',
-    ],
+    ignores: ['.next/**', 'node_modules/**', 'dist/**', 'build/**', 'out/**'],
   },
 ];

next.config.ts

@@ -1,4 +1,4 @@
-import type {NextConfig} from 'next';
+import type { NextConfig } from 'next';
 
 const nextConfig: NextConfig = {
   images: {

src/ai/dev.ts

@@ -1,4 +1,4 @@
 import { config } from 'dotenv';
 config();
 
-import '@/ai/flows/ai-powered-data-insights.ts';
+import '@/ai/flows/ai-powered-data-insights.ts';

src/ai/flows/ai-powered-data-insights.ts

@@ -10,27 +10,39 @@
  * @function getAIPoweredDataInsights - An async function that wraps the AIPoweredDataInsightsFlow.
  */
 
-import {ai} from '@/ai/genkit';
-import {z} from 'genkit';
+import { ai } from '@/ai/genkit';
+import { z } from 'genkit';
 
 const AIPoweredDataInsightsInputSchema = z.object({
-  datasetDescription: z.string().describe('A detailed description of the dataset, including column names, datatypes, and a summary of the data.'),
+  datasetDescription: z
+    .string()
+    .describe(
+      'A detailed description of the dataset, including column names, datatypes, and a summary of the data.'
+    ),
 });
-export type AIPoweredDataInsightsInput = z.infer<typeof AIPoweredDataInsightsInputSchema>;
+export type AIPoweredDataInsightsInput = z.infer<
+  typeof AIPoweredDataInsightsInputSchema
+>;
 
 const AIPoweredDataInsightsOutputSchema = z.object({
-  analysisSuggestions: z.array(z.string()).describe('A list of suggested EDA analyses relevant to the dataset.'),
+  analysisSuggestions: z
+    .array(z.string())
+    .describe('A list of suggested EDA analyses relevant to the dataset.'),
 });
-export type AIPoweredDataInsightsOutput = z.infer<typeof AIPoweredDataInsightsOutputSchema>;
+export type AIPoweredDataInsightsOutput = z.infer<
+  typeof AIPoweredDataInsightsOutputSchema
+>;
 
-export async function getAIPoweredDataInsights(input: AIPoweredDataInsightsInput): Promise<AIPoweredDataInsightsOutput> {
+export async function getAIPoweredDataInsights(
+  input: AIPoweredDataInsightsInput
+): Promise<AIPoweredDataInsightsOutput> {
   return AIPoweredDataInsightsFlow(input);
 }
 
 const prompt = ai.definePrompt({
   name: 'AIPoweredDataInsightsPrompt',
-  input: {schema: AIPoweredDataInsightsInputSchema},
-  output: {schema: AIPoweredDataInsightsOutputSchema},
+  input: { schema: AIPoweredDataInsightsInputSchema },
+  output: { schema: AIPoweredDataInsightsOutputSchema },
   prompt: `You are an AI assistant that provides smart suggestions for Exploratory Data Analysis (EDA).
   Based on the following dataset description, suggest a list of relevant EDA analyses that would be useful for understanding the data.
   Consider the datatypes, potential relationships between columns, and overall patterns in the data.
@@ -47,8 +59,8 @@ const AIPoweredDataInsightsFlow = ai.defineFlow(
     inputSchema: AIPoweredDataInsightsInputSchema,
     outputSchema: AIPoweredDataInsightsOutputSchema,
   },
-  async input => {
-    const {output} = await prompt(input);
+  async (input) => {
+    const { output } = await prompt(input);
     return output!;
   }
 );

src/ai/genkit.ts

@@ -1,5 +1,5 @@
-import {genkit} from 'genkit';
-import {googleAI} from '@genkit-ai/google-genai';
+import { genkit } from 'genkit';
+import { googleAI } from '@genkit-ai/google-genai';
 
 export const ai = genkit({
   plugins: [googleAI()],

src/app/dashboard/analysis-tools/page.tsx

@@ -5,23 +5,29 @@ export default function AnalysisToolsPage() {
   return (
     <div className="flex h-screen w-full bg-background-dark">
       <DashboardSidebar />
-      <main className="flex-1 flex flex-col h-full overflow-hidden relative">
-        <header className="flex-none px-8 py-6 border-b border-border-dark/50 bg-background-dark/50 backdrop-blur-sm z-10">
-          <div className="flex flex-col md:flex-row md:items-center justify-between gap-4">
+      <main className="relative flex h-full flex-1 flex-col overflow-hidden">
+        <header className="z-10 flex-none border-b border-border-dark/50 bg-background-dark/50 px-8 py-6 backdrop-blur-sm">
+          <div className="flex flex-col justify-between gap-4 md:flex-row md:items-center">
             <div>
-              <span className="text-white text-lg font-bold leading-normal">Analysis Tools</span>
+              <span className="text-lg font-bold leading-normal text-white">
+                Analysis Tools
+              </span>
             </div>
             <div className="flex items-center gap-3">
               <UserNav />
             </div>
           </div>
         </header>
 
-        <div className="flex-1 overflow-y-auto p-8 custom-scrollbar">
-          <div className="max-w-[1400px] mx-auto flex flex-col gap-8 items-center justify-center h-full">
+        <div className="custom-scrollbar flex-1 overflow-y-auto p-8">
+          <div className="mx-auto flex h-full max-w-[1400px] flex-col items-center justify-center gap-8">
             <div className="text-center">
-                <h1 className="text-2xl font-bold text-white mb-4">Analysis Tools</h1>
-                <p className="text-text-secondary">This is where you can find and manage your analysis tools.</p>
+              <h1 className="mb-4 text-2xl font-bold text-white">
+                Analysis Tools
+              </h1>
+              <p className="text-text-secondary">
+                This is where you can find and manage your analysis tools.
+              </p>
             </div>
           </div>
         </div>