Analytics Dashboard Builder
Run ID: 69ccafc53e7fb09ff16a426c2026-04-01Analytics
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Analytics Dashboard Builder: Research & Design Requirements - Deliverable

Project Title: Professional Analytics Dashboard

Deliverable: Detailed Design Specifications, Wireframe Descriptions, Color Palettes, and UX Recommendations


Introduction

This document outlines the comprehensive research and design requirements for your upcoming Analytics Dashboard. Our goal is to create a robust, intuitive, and visually appealing dashboard that empowers users to extract meaningful insights from their data efficiently. This deliverable serves as the foundational blueprint for the subsequent development phases, ensuring all stakeholders are aligned on the vision and technical specifications.


1. Design Specifications

1.1 Functional Requirements

The dashboard will include the following core functionalities:

  • Data Integration & Management:

* Multiple Data Sources: Ability to connect to various data sources including:

* Google Analytics (GA4, Universal Analytics)

* CRM Systems (e.g., Salesforce, HubSpot via API)

* Marketing Platforms (e.g., Google Ads, Facebook Ads via API)

* Databases (e.g., PostgreSQL, MySQL, SQL Server, MongoDB)

* Cloud Data Warehouses (e.g., BigQuery, Snowflake, Amazon Redshift)

* Flat Files (CSV, Excel) with data upload capabilities.

* Data Refresh: Configurable automatic data refresh schedules (e.g., hourly, daily) and manual refresh options.

* Data Transformation (Basic): Options for simple data cleaning, aggregation, and calculated fields within the dashboard interface.

  • Visualization & Reporting:

* Diverse Chart Types: Support for a wide range of visualization types:

* Trend Analysis: Line charts, Area charts.

* Comparison: Bar charts (stacked, grouped), Column charts.

* Composition: Pie charts, Donut charts, Treemaps.

* Distribution: Histograms, Box plots, Scatter plots.

* Key Performance Indicators (KPIs): Large numeric displays, Gauge charts.

* Geospatial: Map visualizations (choropleth, point maps).

* Tabular Data: Highly customizable data tables with sorting, pagination, and search.

* Interactive Dashboards:

* Filtering: Global and widget-specific filters (date ranges, dimensions, metrics, custom filters).

* Drill-Down & Drill-Through: Ability to click on chart elements to reveal more detailed data or navigate to a specific report.

* Cross-Filtering: Selecting data points in one visualization automatically filters related visualizations on the same dashboard.

* Tooltips: Informative pop-ups on hover for data points.

* Custom Dashboard Creation:

* Drag-and-drop interface for adding, resizing, and arranging widgets.

* Library of pre-built widgets and templates.

* Ability to save, duplicate, and delete custom dashboards.

  • Sharing & Export:

* Secure Sharing: Generate shareable links with configurable access permissions (read-only, editable).

* Scheduled Reports: Set up automated email delivery of dashboard snapshots or specific reports.

* Export Options: Export dashboards and individual widgets to various formats: PDF, PNG, JPEG, CSV, Excel.

  • User Management & Access Control:

* Role-Based Access Control (RBAC): Define user roles (e.g., Admin, Editor, Viewer) with distinct permissions for data sources, dashboards, and features.

* User Provisioning: Ability to add, edit, and remove users.

* Audit Logs: Track user activities and data changes (optional, but recommended).

1.2 Non-Functional Requirements

These requirements define the quality attributes of the dashboard:

  • Performance:

* Load Time: Dashboards should load within 3-5 seconds for typical data volumes.

* Responsiveness: Interactions (filtering, drill-down) should provide feedback within 1-2 seconds.

* Scalability: The system must be able to handle increasing data volumes and concurrent users without significant performance degradation.

  • Security:

* Authentication: Secure user authentication (e.g., OAuth2, SAML, or robust password policies).

* Authorization: Granular RBAC to ensure users only access authorized data and features.

* Data Encryption: Data at rest and in transit must be encrypted.

* Vulnerability Management: Regular security audits and updates.

  • Usability:

* Intuitive Interface: Easy to learn and use, even for non-technical users.

* Consistent UI: Uniform design patterns and navigation across the entire application.

* Error Handling: Clear and helpful error messages.

  • Accessibility:

* WCAG 2.1 AA Compliance: Adherence to Web Content Accessibility Guidelines, including:

* Sufficient color contrast.

* Keyboard navigation for all interactive elements.

* Screen reader compatibility (ARIA labels).

* Text resizing capabilities.

  • Responsiveness:

* The dashboard must be fully responsive, adapting gracefully to various screen sizes and devices (desktop, tablet, mobile).

* Prioritize desktop/tablet experience for detailed analysis, with a streamlined view for mobile.

  • Maintainability:

* Modular code architecture for ease of updates and feature additions.

* Comprehensive documentation for developers.

  • Reliability:

* High availability with minimal downtime.

* Robust error recovery mechanisms.


2. Wireframe Descriptions (High-Level)

The following descriptions outline the key screens and their primary components. These are conceptual and will be refined during the detailed wireframing phase.

2.1 Dashboard Overview Screen

  • Layout: Primary dashboard view, typically featuring a grid of high-level KPIs and summary charts.
  • Top Navigation Bar:

* Logo: Company branding.

* Dashboard Title: Currently viewed dashboard name.

* Global Filters: Prominent date range selector, primary dimension filter (e.g., "Region," "Product Category").

* User Profile/Settings: Icon for user menu (logout, profile settings).

* Action Buttons: "Share," "Export," "Edit Dashboard" (for authorized users).

  • Left Sidebar (Optional/Collapsible):

* Dashboard List: List of available dashboards (e.g., "Sales Performance," "Marketing Analytics," "Website Traffic").

* "Create New Dashboard" Button.

  • Main Content Area (Grid Layout):

* KPI Cards: Prominent cards displaying key metrics (e.g., Total Revenue, New Users, Conversion Rate) with trend indicators.

* Summary Charts:

* Revenue Trend: Line chart over selected period.

* Top 5 Products/Services: Bar chart.

* Geographic Sales Distribution: Map visualization.

* User Acquisition Channels: Donut/Pie chart.

* Interactive Elements: Each widget will be clickable for drill-down or detailed view.

2.2 Detailed Report Screen

  • Layout: Focused view for a specific report or a deep dive into a particular metric.
  • Top Navigation Bar: Similar to Overview, but may include breadcrumbs (e.g., "Dashboard Home > Sales Performance > Product Details").
  • Left Sidebar (Persistent):

* Report-Specific Filters: More granular filters relevant to the report (e.g., specific product IDs, user segments, campaign names).

* Dimension/Metric Selection: Options to change the primary dimensions or metrics being displayed.

* Drill-Down Options: List of available drill-down paths.

  • Main Content Area:

* Primary Visualization: A larger, more complex chart or data table (e.g., a detailed sales table with multiple columns, a multi-series line chart).

* Supporting Visualizations: Smaller, related charts providing context.

* Data Export Button: Prominent button for exporting the current report data.

* Annotations/Notes: Area for users to add contextual notes to the report.

2.3 Settings & Customization Screen

  • Layout: Dedicated area for administrative and personalization tasks.
  • Left Sidebar Navigation:

* "Manage Dashboards": List of all dashboards with options to edit, delete, duplicate, change ownership.

* "Data Sources": List of connected data sources, "Add New Data Source" button, connection settings.

* "User Management": List of users, roles, permissions. "Invite New User" button.

* "Account Settings": General account information, billing, API keys.

* "Theme/Appearance": Options for changing dashboard themes, color palettes (if applicable).

  • Main Content Area:

* Contextual Forms/Interfaces: Depending on the selected sidebar item, display forms for:

* Adding/editing data source credentials.

* Configuring data refresh schedules.

* Creating/editing user profiles and assigning roles.

* A drag-and-drop interface for building custom dashboard layouts (widget library, configuration panel for each widget).


3. Color Palettes

A cohesive and accessible color palette is crucial for readability and brand consistency.

3.1 Primary Brand Colors

These colors establish the core identity of the dashboard.

  • Primary Blue: #007BFF (A strong, professional blue for main call-to-actions, primary headers, and active states.)
  • Secondary Grey: #6C757D (A neutral, sophisticated grey for secondary text, inactive elements, and subtle backgrounds.)
  • Accent Green: #28A745 (A vibrant green for success indicators, positive trends, and key highlights.)

3.2 Data Visualization Palette

A distinct and accessible palette for charts, ensuring clarity and differentiation between data series. These colors are chosen for good contrast and to be distinguishable for common color vision deficiencies.

  • Blue: #007BFF
  • Green: #28A745
  • Orange: #FFC107
  • Red: #DC3545
  • Purple: #6F42C1
  • Teal: #17A2B8
  • Dark Orange: #FD7E14
  • Light Green: #20C997

(Note: For dashboards with more than 8-10 data series, additional colors or patterns will be introduced, or grouping will be recommended.)

3.3 Neutral & UI Colors

For backgrounds, text, borders, and general UI elements.

  • Background (Light): #F8F9FA (Very light grey for main content backgrounds.)
  • Background (Mid): #E9ECEF (Slightly darker grey for card backgrounds, subtle dividers.)
  • Text (Dark): #343A40 (Primary text color for optimal readability.)
  • **Text
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Analytics Dashboard Builder: Detailed Design Specifications

This document outlines the comprehensive design specifications for the "Analytics Dashboard Builder," providing a blueprint for its development. The goal is to create an intuitive, powerful, and visually appealing platform that empowers users to easily visualize, analyze, and derive actionable insights from their data.


1. Project Vision & Goals

Vision: To be the leading platform for self-service analytics, enabling users of all technical proficiencies to rapidly build, customize, and share dynamic dashboards that transform raw data into clear, actionable intelligence.

Key Goals:

  • Empowerment: Provide users with complete control over their data visualization needs.
  • Usability: Ensure a low learning curve with an intuitive drag-and-drop interface.
  • Flexibility: Support diverse data sources, visualization types, and customization options.
  • Performance: Deliver a fast, responsive, and reliable user experience.
  • Collaboration: Facilitate easy sharing and teamwork on analytics projects.

2. Target Audience

The Analytics Dashboard Builder is designed for a broad range of users who need to interact with data:

  • Business Analysts: For in-depth data exploration and reporting.
  • Marketing Managers: To track campaign performance and customer behavior.
  • Product Managers: To monitor product usage, features, and user engagement.
  • Executives & Decision Makers: For high-level overviews and strategic insights.
  • Data Scientists/Engineers: For quick prototyping and sharing of data insights.

3. Core Features & Functionality

The platform will offer the following key capabilities:

  • Intuitive Dashboard Creation: Drag-and-drop interface for building custom dashboards.
  • Rich Visualization Library: A wide array of chart types, KPI cards, tables, and more.
  • Multi-Source Data Connectivity: Seamless integration with various databases, cloud services, and APIs.
  • Interactive Data Exploration: Global and widget-specific filters, cross-filtering, and drill-down capabilities.
  • Advanced Customization: Fine-grained control over widget appearance, data mappings, and dashboard layouts.
  • Templates: Ability to save, load, and share dashboard templates for reusability.
  • Collaboration & Sharing: Secure sharing options with role-based permissions and export functionalities.
  • User & Data Source Management: Tools for administering users, roles, and data connections.

4. Design Principles

Our design philosophy is centered around:

  • Clarity & Readability: Information must be easily digestible at a glance.
  • Usability & Intuition: The interface should be easy to navigate and understand, minimizing cognitive load.
  • Responsiveness & Performance: Fast loading times and fluid interactions are paramount.
  • Flexibility & Scalability: The system must adapt to evolving user needs and data complexities.
  • Aesthetics & Professionalism: A clean, modern, and engaging visual design.
  • Actionability: Insights provided by dashboards should directly inform decisions.

5. Detailed Design Specifications

5.1. Dashboard Layout & Structure

  • Global Header:

* Left: Company Logo, Dashboard Title (editable when in builder mode).

* Center: Global Filters (e.g., Date Range Picker, Multi-select Dropdowns).

* Right: User Profile/Settings, "Create New Dashboard" button, "Save/Publish" button (in builder mode), "Share" button.

  • Main Navigation (Top Bar):

* "Dashboards" (List of all available dashboards)

* "Data Sources" (Manage connections)

* "Templates" (Manage and create templates)

* "Settings" (User preferences, admin controls)

  • Main Content Area:

* Dashboard View: Displays the rendered dashboard with interactive widgets.

* Dashboard Builder: Dynamic grid canvas for arranging widgets.

  • Contextual Sidebars:

* Left Sidebar (Builder Mode): Collapsible panel for Widget Library (chart types, KPI cards, etc.).

* Right Sidebar (Builder Mode): Collapsible panel for Widget Configuration (data, appearance, filters) when a widget is selected.

5.2. Core Components & Widgets

The builder will support a comprehensive library of widgets:

  • Chart Types:

* Bar Charts (Vertical, Horizontal, Stacked)

* Line Charts (Single, Multi-line, Area)

* Pie/Donut Charts

* Scatter Plots

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Analytics Dashboard Builder: Final Design Assets & Specifications

This document outlines the comprehensive design specifications, wireframe descriptions, color palettes, and user experience (UX) recommendations for your Analytics Dashboard. This deliverable finalizes the design phase, providing all necessary assets and guidelines for development.


1. Project Overview & Deliverable Summary

This deliverable provides the complete visual and interaction design blueprint for your Analytics Dashboard. It encompasses a detailed breakdown of the user interface (UI) components, layout structures, visual branding elements, and critical user experience considerations to ensure a robust, intuitive, and high-performing analytics platform. Our aim is to create a dashboard that is not only aesthetically pleasing but also highly functional, easy to use, and effective in delivering actionable insights.


2. Detailed Design Specifications

2.1. Overall Layout & Structure

The dashboard will adhere to a consistent, responsive layout designed for optimal data consumption across various screen sizes.

  • Header Bar:

* Placement: Top of the screen, fixed position.

* Elements:

* Logo: Left-aligned, [Your Company Logo].

* Dashboard Title: Centered, dynamically updated based on the current view (e.g., "Overview Dashboard", "Sales Performance").

* Global Filters: Right-aligned (e.g., Date Range Picker, Business Unit Selector).

* User Profile/Settings: Icon-based access to user profile, settings, and logout.

  • Sidebar Navigation (Left-aligned):

* Placement: Left side, collapsible/expandable.

* Elements:

* Main navigation links (e.g., "Overview", "Sales", "Marketing", "Operations", "Reports", "Settings").

* Active state clearly highlighted.

* Icons accompanying text labels for enhanced scannability.

  • Main Content Area:

* Placement: Occupies the remaining space to the right of the sidebar and below the header.

* Structure: Utilizes a flexible grid system (e.g., 12-column grid) to accommodate various widget sizes and arrangements.

* Content: Dynamic display of charts, tables, KPI cards, and interactive filters.

  • Footer (Optional):

* Placement: Bottom of the screen.

* Elements: Copyright information, version number, links to privacy policy or terms of service (if required).

2.2. Key Components & Widgets

Each component is designed for clarity, readability, and interactivity.

  • KPI Cards:

* Design: Prominent display of a single key metric. Large, bold number, accompanied by a clear label.

* Context: Includes a small trend indicator (e.g., percentage change from previous period) and an optional sparkline chart for historical context.

* Interaction: Hover for detailed tooltip, click for drill-down to related report.

  • Line Charts:

* Purpose: Visualize trends over time.

* Features: Multiple data series, customizable timeframes, clear axis labels, interactive tooltips displaying values on hover, zoom/pan functionality.

* Design: Smooth lines, distinct colors for each series, clear legends.

  • Bar Charts (Vertical & Horizontal):

* Purpose: Compare discrete categories or show distribution.

* Features: Stacked or grouped bars, sortable axes, interactive tooltips, drill-down capabilities.

* Design: Consistent bar width, appropriate spacing, clear labels.

  • Pie/Donut Charts:

* Purpose: Illustrate proportions of a whole.

* Features: Percentage labels, interactive segments highlighting on hover, accompanying legend.

* Design: Clean, minimalist, avoiding too many segments to maintain readability.

  • Table/Data Grids:

* Purpose: Present detailed, tabular data.

* Features: Sortable columns, filterable data, pagination, search functionality, export options (CSV, Excel).

* Design: Zebra striping for readability, fixed header on scroll, consistent cell padding.

  • Gauge Charts:

* Purpose: Show progress towards a target or a current status within a range.

* Features: Clear target markers, dynamic color coding based on thresholds.

* Design: Simple, intuitive visual representation.

  • Filter & Control Components:

* Dropdowns/Selects: Single and multi-select options for filtering data.

* Date Pickers: Range selection, predefined periods (e.g., "Last 7 Days", "This Quarter").

* Sliders: For numerical range selection.

* Search Bars: For quick data lookup within tables or lists.

* Toggle Buttons/Checkboxes: For binary options or multiple selections.

  • Call-to-Action (CTA) Buttons:

* Primary: Prominent, solid background, for key actions (e.g., "Apply Filters", "Export Report").

* Secondary: Outline or ghost style, for less critical actions (e.g., "Reset Filters", "View Details").

2.3. Interaction & Responsiveness

  • Hover States: Visual feedback for all clickable elements (buttons, links, chart segments) via subtle color changes or elevation.
  • Click Actions: Clear visual indication of successful clicks. Drill-downs on charts or KPI cards will navigate to relevant detailed reports or apply specific filters.
  • Tooltips: Informative tooltips will appear on hover over chart data points, truncated text, or interactive icons, providing additional context without cluttering the main display.
  • Loading States: Implement skeleton screens or subtle spinners for widgets and data tables while data is being fetched, ensuring a smooth user experience and reducing perceived wait times.
  • Error States: Clear, concise error messages will be displayed for data loading failures, invalid inputs, or system issues, with actionable recommendations where possible.
  • Responsiveness:

* Grid System: The 12-column grid will adapt fluidly to different screen sizes.

* Navigation: Sidebar will collapse into a hamburger menu on smaller screens (tablets, mobile).

* Widgets: Widgets will reflow, resize, or stack vertically on smaller viewports. Critical information will remain accessible without excessive horizontal scrolling.

* Tables: Tables will adapt by either becoming horizontally scrollable, collapsing certain columns, or presenting data in a card-like format on mobile.


3. Wireframe Descriptions (Textual Representation of Key Screens)

3.1. Dashboard Overview Screen

This is the primary landing page, offering a high-level summary of key performance indicators.

  • Header Bar:

* [Your Company Logo] (Left)

* "Overview Dashboard" (Center)

* "Date Range: Last 30 Days" (Dropdown, Right)

* [User Profile Icon] (Rightmost)

  • Sidebar Navigation (Expanded):

* Overview (Active)

* Sales

* Marketing

* Operations

* ...

  • Main Content Area:

* Row 1 (KPI Cards - 1/4 width each):

* Total Revenue: $1,250,000 (↑ 5% vs. Last Period) [Sparkline]

* New Customers: 1,500 (↑ 12% vs. Last Period) [Sparkline]

* Conversion Rate: 2.5% (↓ 0.1% vs. Last Period) [Sparkline]

* Avg. Order Value: $125 (↑ 2% vs. Last Period) [Sparkline]

* Row 2 (Large Chart - Full width):

* Title: Revenue Trend Over Time

* Content: Line Chart showing daily/weekly revenue for the selected date range.

* Row 3 (Half-width charts):

* Left (1/2 width): Sales by Product Category (Bar Chart)

* Right (1/2 width): Sales by Region (Donut Chart)

* Row 4 (Data Table - Full width):

* Title: Top Selling Products

* Content: Table with Product Name, Units Sold, Revenue, Profit Margin (Sortable, Paginated).

3.2. Detailed Report View (e.g., Sales Performance)

This screen provides in-depth analysis for a specific area, with more granular controls.

  • Header Bar: (Identical to Overview)
  • Sidebar Navigation (Expanded):

* Overview

* Sales (Active)

* Product Performance (Sub-item)

* Customer Segments (Sub-item)

* Regional Sales (Sub-item)

  • Main Content Area:

* Top Filter Bar (Specific to Sales):

* Product Type (Dropdown)

* Sales Rep (Multi-select)

* Region (Dropdown)

* [Apply Filters Button] [Reset Filters Button]

* Row 1 (Large Chart - Full width):

* Title: Sales Performance by Month (Line Chart)

* Content: Multi-line chart showing Gross Sales, Net Sales, and Returns over time.

* Row 2 (Half-width charts):

* Left (1/2 width): Sales by Lead Source (Bar Chart)

* Right (1/2 width): Customer Lifetime Value Distribution (Histogram/Bar Chart)

* Row 3 (Data Table - Full width):

* Title: Detailed Sales Transactions

* Content: Table with Transaction ID, Date, Product, Quantity, Price, Discount, Total (Searchable, Filterable, Exportable, Paginated).


4. Color Palettes & Typography

4.1. Primary Color Palette

This palette defines the core visual identity of the dashboard, ensuring consistency and brand alignment.

  • Primary Accent: #007bff (RGB: 0, 123, 255) - Used for primary CTAs, active navigation states, main chart lines, and key highlights.
  • Secondary Accent: #6c757d (RGB: 108, 117, 125) - Used for secondary actions, subtle highlights, and complementary elements.
  • Background (Light): #f8f9fa (RGB: 248, 249, 250) - Default background for the main content area.
  • Background (Dark): #ffffff (RGB: 255, 255, 255) - Background for cards, modals, and other elevated elements.
  • Border/Divider: #dee2e6 (RGB: 222, 226, 230) - For separators, input fields, and table borders.
  • Text (Primary):
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Built with PantheraHive BOS

) } export default App "); zip.file(folder+"src/index.css","*{margin:0;padding:0;box-sizing:border-box} body{font-family:system-ui,-apple-system,sans-serif;background:#f0f2f5;color:#1a1a2e} .app{min-height:100vh;display:flex;flex-direction:column} .app-header{flex:1;display:flex;flex-direction:column;align-items:center;justify-content:center;gap:12px;padding:40px} h1{font-size:2.5rem;font-weight:700} "); zip.file(folder+"src/App.css",""); zip.file(folder+"src/components/.gitkeep",""); zip.file(folder+"src/pages/.gitkeep",""); zip.file(folder+"src/hooks/.gitkeep",""); Object.keys(extracted).forEach(function(p){ var fp=p.startsWith("src/")?p:"src/"+p; zip.file(folder+fp,extracted[p]); }); zip.file(folder+"README.md","# "+slugTitle(pn)+" Generated by PantheraHive BOS. ## Setup ```bash npm install npm run dev ``` ## Build ```bash npm run build ``` ## Open in IDE Open the project folder in VS Code or WebStorm. "); zip.file(folder+".gitignore","node_modules/ dist/ .env .DS_Store *.local "); } /* --- Vue (Vite + Composition API + TypeScript) --- */ function buildVue(zip,folder,app,code,panelTxt){ var pn=pkgName(app); var C=cc(pn); var extracted=extractCode(panelTxt); zip.file(folder+"package.json",'{ "name": "'+pn+'", "version": "0.0.0", "type": "module", "scripts": { "dev": "vite", "build": "vue-tsc -b && vite build", "preview": "vite preview" }, "dependencies": { "vue": "^3.5.13", "vue-router": "^4.4.5", "pinia": "^2.3.0", "axios": "^1.7.9" }, "devDependencies": { "@vitejs/plugin-vue": "^5.2.1", "typescript": "~5.7.3", "vite": "^6.0.5", "vue-tsc": "^2.2.0" } } '); zip.file(folder+"vite.config.ts","import { defineConfig } from 'vite' import vue from '@vitejs/plugin-vue' import { resolve } from 'path' export default defineConfig({ plugins: [vue()], resolve: { alias: { '@': resolve(__dirname,'src') } } }) "); zip.file(folder+"tsconfig.json",'{"files":[],"references":[{"path":"./tsconfig.app.json"},{"path":"./tsconfig.node.json"}]} '); zip.file(folder+"tsconfig.app.json",'{ "compilerOptions":{ "target":"ES2020","useDefineForClassFields":true,"module":"ESNext","lib":["ES2020","DOM","DOM.Iterable"], "skipLibCheck":true,"moduleResolution":"bundler","allowImportingTsExtensions":true, "isolatedModules":true,"moduleDetection":"force","noEmit":true,"jsxImportSource":"vue", "strict":true,"paths":{"@/*":["./src/*"]} }, "include":["src/**/*.ts","src/**/*.d.ts","src/**/*.tsx","src/**/*.vue"] } '); zip.file(folder+"env.d.ts","/// "); zip.file(folder+"index.html"," "+slugTitle(pn)+"
"); var hasMain=Object.keys(extracted).some(function(k){return k==="src/main.ts"||k==="main.ts";}); if(!hasMain) zip.file(folder+"src/main.ts","import { createApp } from 'vue' import { createPinia } from 'pinia' import App from './App.vue' import './assets/main.css' const app = createApp(App) app.use(createPinia()) app.mount('#app') "); var hasApp=Object.keys(extracted).some(function(k){return k.indexOf("App.vue")>=0;}); if(!hasApp) zip.file(folder+"src/App.vue"," "); zip.file(folder+"src/assets/main.css","*{margin:0;padding:0;box-sizing:border-box}body{font-family:system-ui,sans-serif;background:#fff;color:#213547} "); zip.file(folder+"src/components/.gitkeep",""); zip.file(folder+"src/views/.gitkeep",""); zip.file(folder+"src/stores/.gitkeep",""); Object.keys(extracted).forEach(function(p){ var fp=p.startsWith("src/")?p:"src/"+p; zip.file(folder+fp,extracted[p]); }); zip.file(folder+"README.md","# "+slugTitle(pn)+" Generated by PantheraHive BOS. ## Setup ```bash npm install npm run dev ``` ## Build ```bash npm run build ``` Open in VS Code or WebStorm. "); zip.file(folder+".gitignore","node_modules/ dist/ .env .DS_Store *.local "); } /* --- Angular (v19 standalone) --- */ function buildAngular(zip,folder,app,code,panelTxt){ var pn=pkgName(app); var C=cc(pn); var sel=pn.replace(/_/g,"-"); var extracted=extractCode(panelTxt); zip.file(folder+"package.json",'{ "name": "'+pn+'", "version": "0.0.0", "scripts": { "ng": "ng", "start": "ng serve", "build": "ng build", "test": "ng test" }, "dependencies": { "@angular/animations": "^19.0.0", "@angular/common": "^19.0.0", "@angular/compiler": "^19.0.0", "@angular/core": "^19.0.0", "@angular/forms": "^19.0.0", "@angular/platform-browser": "^19.0.0", "@angular/platform-browser-dynamic": "^19.0.0", "@angular/router": "^19.0.0", "rxjs": "~7.8.0", "tslib": "^2.3.0", "zone.js": "~0.15.0" }, "devDependencies": { "@angular-devkit/build-angular": "^19.0.0", "@angular/cli": "^19.0.0", "@angular/compiler-cli": "^19.0.0", "typescript": "~5.6.0" } } '); zip.file(folder+"angular.json",'{ "$schema": "./node_modules/@angular/cli/lib/config/schema.json", "version": 1, "newProjectRoot": "projects", "projects": { "'+pn+'": { "projectType": "application", "root": "", "sourceRoot": "src", "prefix": "app", "architect": { "build": { "builder": "@angular-devkit/build-angular:application", "options": { "outputPath": "dist/'+pn+'", "index": "src/index.html", "browser": "src/main.ts", "tsConfig": "tsconfig.app.json", "styles": ["src/styles.css"], "scripts": [] } }, "serve": {"builder":"@angular-devkit/build-angular:dev-server","configurations":{"production":{"buildTarget":"'+pn+':build:production"},"development":{"buildTarget":"'+pn+':build:development"}},"defaultConfiguration":"development"} } } } } '); zip.file(folder+"tsconfig.json",'{ "compileOnSave": false, "compilerOptions": {"baseUrl":"./","outDir":"./dist/out-tsc","forceConsistentCasingInFileNames":true,"strict":true,"noImplicitOverride":true,"noPropertyAccessFromIndexSignature":true,"noImplicitReturns":true,"noFallthroughCasesInSwitch":true,"paths":{"@/*":["src/*"]},"skipLibCheck":true,"esModuleInterop":true,"sourceMap":true,"declaration":false,"experimentalDecorators":true,"moduleResolution":"bundler","importHelpers":true,"target":"ES2022","module":"ES2022","useDefineForClassFields":false,"lib":["ES2022","dom"]}, "references":[{"path":"./tsconfig.app.json"}] } '); zip.file(folder+"tsconfig.app.json",'{ "extends":"./tsconfig.json", "compilerOptions":{"outDir":"./dist/out-tsc","types":[]}, "files":["src/main.ts"], "include":["src/**/*.d.ts"] } '); zip.file(folder+"src/index.html"," "+slugTitle(pn)+" "); zip.file(folder+"src/main.ts","import { bootstrapApplication } from '@angular/platform-browser'; import { appConfig } from './app/app.config'; import { AppComponent } from './app/app.component'; bootstrapApplication(AppComponent, appConfig) .catch(err => console.error(err)); "); zip.file(folder+"src/styles.css","* { margin: 0; padding: 0; box-sizing: border-box; } body { font-family: system-ui, -apple-system, sans-serif; background: #f9fafb; color: #111827; } "); var hasComp=Object.keys(extracted).some(function(k){return k.indexOf("app.component")>=0;}); if(!hasComp){ zip.file(folder+"src/app/app.component.ts","import { Component } from '@angular/core'; import { RouterOutlet } from '@angular/router'; @Component({ selector: 'app-root', standalone: true, imports: [RouterOutlet], templateUrl: './app.component.html', styleUrl: './app.component.css' }) export class AppComponent { title = '"+pn+"'; } "); zip.file(folder+"src/app/app.component.html","

"+slugTitle(pn)+"

Built with PantheraHive BOS

"); zip.file(folder+"src/app/app.component.css",".app-header{display:flex;flex-direction:column;align-items:center;justify-content:center;min-height:60vh;gap:16px}h1{font-size:2.5rem;font-weight:700;color:#6366f1} "); } zip.file(folder+"src/app/app.config.ts","import { ApplicationConfig, provideZoneChangeDetection } from '@angular/core'; import { provideRouter } from '@angular/router'; import { routes } from './app.routes'; export const appConfig: ApplicationConfig = { providers: [ provideZoneChangeDetection({ eventCoalescing: true }), provideRouter(routes) ] }; "); zip.file(folder+"src/app/app.routes.ts","import { Routes } from '@angular/router'; export const routes: Routes = []; "); Object.keys(extracted).forEach(function(p){ var fp=p.startsWith("src/")?p:"src/"+p; zip.file(folder+fp,extracted[p]); }); zip.file(folder+"README.md","# "+slugTitle(pn)+" Generated by PantheraHive BOS. ## Setup ```bash npm install ng serve # or: npm start ``` ## Build ```bash ng build ``` Open in VS Code with Angular Language Service extension. "); zip.file(folder+".gitignore","node_modules/ dist/ .env .DS_Store *.local .angular/ "); } /* --- Python --- */ function buildPython(zip,folder,app,code){ var title=slugTitle(app); var pn=pkgName(app); var src=code.replace(/^```[w]* ?/m,"").replace(/ ?```$/m,"").trim(); var reqMap={"numpy":"numpy","pandas":"pandas","sklearn":"scikit-learn","tensorflow":"tensorflow","torch":"torch","flask":"flask","fastapi":"fastapi","uvicorn":"uvicorn","requests":"requests","sqlalchemy":"sqlalchemy","pydantic":"pydantic","dotenv":"python-dotenv","PIL":"Pillow","cv2":"opencv-python","matplotlib":"matplotlib","seaborn":"seaborn","scipy":"scipy"}; var reqs=[]; Object.keys(reqMap).forEach(function(k){if(src.indexOf("import "+k)>=0||src.indexOf("from "+k)>=0)reqs.push(reqMap[k]);}); var reqsTxt=reqs.length?reqs.join(" "):"# add dependencies here "; zip.file(folder+"main.py",src||"# "+title+" # Generated by PantheraHive BOS print(title+" loaded") "); zip.file(folder+"requirements.txt",reqsTxt); zip.file(folder+".env.example","# Environment variables "); zip.file(folder+"README.md","# "+title+" Generated by PantheraHive BOS. ## Setup ```bash python3 -m venv .venv source .venv/bin/activate pip install -r requirements.txt ``` ## Run ```bash python main.py ``` "); zip.file(folder+".gitignore",".venv/ __pycache__/ *.pyc .env .DS_Store "); } /* --- Node.js --- */ function buildNode(zip,folder,app,code){ var title=slugTitle(app); var pn=pkgName(app); var src=code.replace(/^```[w]* ?/m,"").replace(/ ?```$/m,"").trim(); var depMap={"mongoose":"^8.0.0","dotenv":"^16.4.5","axios":"^1.7.9","cors":"^2.8.5","bcryptjs":"^2.4.3","jsonwebtoken":"^9.0.2","socket.io":"^4.7.4","uuid":"^9.0.1","zod":"^3.22.4","express":"^4.18.2"}; var deps={}; Object.keys(depMap).forEach(function(k){if(src.indexOf(k)>=0)deps[k]=depMap[k];}); if(!deps["express"])deps["express"]="^4.18.2"; var pkgJson=JSON.stringify({"name":pn,"version":"1.0.0","main":"src/index.js","scripts":{"start":"node src/index.js","dev":"nodemon src/index.js"},"dependencies":deps,"devDependencies":{"nodemon":"^3.0.3"}},null,2)+" "; zip.file(folder+"package.json",pkgJson); var fallback="const express=require("express"); const app=express(); app.use(express.json()); app.get("/",(req,res)=>{ res.json({message:""+title+" API"}); }); const PORT=process.env.PORT||3000; app.listen(PORT,()=>console.log("Server on port "+PORT)); "; zip.file(folder+"src/index.js",src||fallback); zip.file(folder+".env.example","PORT=3000 "); zip.file(folder+".gitignore","node_modules/ .env .DS_Store "); zip.file(folder+"README.md","# "+title+" Generated by PantheraHive BOS. ## Setup ```bash npm install ``` ## Run ```bash npm run dev ``` "); } /* --- Vanilla HTML --- */ function buildVanillaHtml(zip,folder,app,code){ var title=slugTitle(app); var isFullDoc=code.trim().toLowerCase().indexOf("=0||code.trim().toLowerCase().indexOf("=0; var indexHtml=isFullDoc?code:" "+title+" "+code+" "; zip.file(folder+"index.html",indexHtml); zip.file(folder+"style.css","/* "+title+" — styles */ *{margin:0;padding:0;box-sizing:border-box} body{font-family:system-ui,-apple-system,sans-serif;background:#fff;color:#1a1a2e} "); zip.file(folder+"script.js","/* "+title+" — scripts */ "); zip.file(folder+"assets/.gitkeep",""); zip.file(folder+"README.md","# "+title+" Generated by PantheraHive BOS. ## Open Double-click `index.html` in your browser. Or serve locally: ```bash npx serve . # or python3 -m http.server 3000 ``` "); zip.file(folder+".gitignore",".DS_Store node_modules/ .env "); } /* ===== MAIN ===== */ var sc=document.createElement("script"); sc.src="https://cdnjs.cloudflare.com/ajax/libs/jszip/3.10.1/jszip.min.js"; sc.onerror=function(){ if(lbl)lbl.textContent="Download ZIP"; alert("JSZip load failed — check connection."); }; sc.onload=function(){ var zip=new JSZip(); var base=(_phFname||"output").replace(/.[^.]+$/,""); var app=base.toLowerCase().replace(/[^a-z0-9]+/g,"_").replace(/^_+|_+$/g,"")||"my_app"; var folder=app+"/"; var vc=document.getElementById("panel-content"); var panelTxt=vc?(vc.innerText||vc.textContent||""):""; var lang=detectLang(_phCode,panelTxt); if(_phIsHtml){ buildVanillaHtml(zip,folder,app,_phCode); } else if(lang==="flutter"){ buildFlutter(zip,folder,app,_phCode,panelTxt); } else if(lang==="react-native"){ buildReactNative(zip,folder,app,_phCode,panelTxt); } else if(lang==="swift"){ buildSwift(zip,folder,app,_phCode,panelTxt); } else if(lang==="kotlin"){ buildKotlin(zip,folder,app,_phCode,panelTxt); } else if(lang==="react"){ buildReact(zip,folder,app,_phCode,panelTxt); } else if(lang==="vue"){ buildVue(zip,folder,app,_phCode,panelTxt); } else if(lang==="angular"){ buildAngular(zip,folder,app,_phCode,panelTxt); } else if(lang==="python"){ buildPython(zip,folder,app,_phCode); } else if(lang==="node"){ buildNode(zip,folder,app,_phCode); } else { /* Document/content workflow */ var title=app.replace(/_/g," "); var md=_phAll||_phCode||panelTxt||"No content"; zip.file(folder+app+".md",md); var h=""+title+""; h+="

"+title+"

"; var hc=md.replace(/&/g,"&").replace(//g,">"); hc=hc.replace(/^### (.+)$/gm,"

$1

"); hc=hc.replace(/^## (.+)$/gm,"

$1

"); hc=hc.replace(/^# (.+)$/gm,"

$1

"); hc=hc.replace(/**(.+?)**/g,"$1"); hc=hc.replace(/ {2,}/g,"

"); h+="

"+hc+"

Generated by PantheraHive BOS
"; zip.file(folder+app+".html",h); zip.file(folder+"README.md","# "+title+" Generated by PantheraHive BOS. Files: - "+app+".md (Markdown) - "+app+".html (styled HTML) "); } zip.generateAsync({type:"blob"}).then(function(blob){ var a=document.createElement("a"); a.href=URL.createObjectURL(blob); a.download=app+".zip"; a.click(); URL.revokeObjectURL(a.href); if(lbl)lbl.textContent="Download ZIP"; }); }; document.head.appendChild(sc); }function phShare(){navigator.clipboard.writeText(window.location.href).then(function(){var el=document.getElementById("ph-share-lbl");if(el){el.textContent="Link copied!";setTimeout(function(){el.textContent="Copy share link";},2500);}});}function phEmbed(){var runId=window.location.pathname.split("/").pop().replace(".html","");var embedUrl="https://pantherahive.com/embed/"+runId;var code='';navigator.clipboard.writeText(code).then(function(){var el=document.getElementById("ph-embed-lbl");if(el){el.textContent="Embed code copied!";setTimeout(function(){el.textContent="Get Embed Code";},2500);}});}