Analytics Dashboard Builder
Run ID: 69cc3f5d6beabe319cec8dda2026-03-31Analytics
PantheraHive BOS
BOS Dashboard

Analytics Dashboard Builder: Design & Requirements Specification

This document outlines the comprehensive design specifications, wireframe descriptions, color palettes, and user experience (UX) recommendations for your Analytics Dashboard. Our goal is to create an intuitive, powerful, and visually appealing dashboard that provides actionable insights and empowers data-driven decision-making.


1. Core Objectives & Principles

The primary objective of the Analytics Dashboard is to transform raw data into clear, concise, and actionable insights. This dashboard will serve as a central hub for monitoring key performance indicators (KPIs), identifying trends, and facilitating strategic decision-making across various business functions.

Key Design Principles:

  • Clarity & Simplicity: Focus on delivering essential information without clutter.
  • Actionability: Insights should directly inform business actions.
  • Interactivity: Allow users to explore data dynamically.
  • Consistency: Maintain a uniform look and feel across all views.
  • Scalability: Designed to accommodate future data sources and metrics.
  • Accessibility: Ensure usability for a diverse range of users.

2. Key Design Specifications

This section details the essential components, data points, and functionalities required for a robust analytics dashboard.

2.1. Target Audience & Use Cases

The dashboard will cater to a diverse audience, including:

  • Executives/Leadership: High-level overview of business health, strategic KPIs, top-line performance.
  • Department Heads (e.g., Marketing, Sales, Product): Detailed performance metrics specific to their domain, trend analysis, campaign effectiveness.
  • Analysts: Granular data exploration, drill-down capabilities, comparative analysis.

Core Use Cases:

  • Monitor real-time and historical performance against targets.
  • Identify positive and negative trends and anomalies.
  • Segment data to understand performance drivers.
  • Track the effectiveness of initiatives and campaigns.
  • Generate reports for stakeholders.

2.2. Key Performance Indicators (KPIs) & Metrics (Illustrative Examples)

The specific KPIs will be tailored to your business needs, but a typical comprehensive dashboard would include metrics across several domains:

  • Overall Business Performance:

* Total Revenue / Sales

* Revenue Growth Rate (YoY, MoM)

* Profit Margin

* Customer Lifetime Value (CLTV)

* Average Order Value (AOV)

  • Marketing & Acquisition:

* Website Traffic (Unique Visitors, Page Views)

* Conversion Rate (e.g., Lead-to-Customer)

* Cost Per Acquisition (CPA)

* Return on Ad Spend (ROAS)

* Lead Generation Volume

* Traffic Sources Breakdown

  • Sales & Revenue:

* Sales Volume by Product/Service

* Sales by Region/Segment

* Sales Cycle Length

* Deal Win Rate

* Pipeline Value & Stages

  • Customer & Retention:

* Customer Acquisition Rate

* Customer Churn Rate

* Customer Retention Rate

* Net Promoter Score (NPS)

* Customer Satisfaction (CSAT)

  • Operational & Product (if applicable):

* Daily/Monthly Active Users (DAU/MAU)

* Feature Usage Rates

* Support Ticket Volume / Resolution Time

* Website/App Uptime

2.3. Data Sources Integration

The dashboard will be designed to integrate with various data sources, including but not limited to:

  • Web Analytics: Google Analytics, Adobe Analytics
  • CRM Systems: Salesforce, HubSpot, Zoho CRM
  • Marketing Platforms: Google Ads, Facebook Ads, LinkedIn Ads, Mailchimp
  • E-commerce Platforms: Shopify, WooCommerce, Magento
  • Databases: SQL, NoSQL databases (for internal operational data)
  • Spreadsheets/APIs: Custom data uploads or integrations

2.4. Core Functionalities

  • Global Date Range Selector: Pre-set options (Today, Yesterday, Last 7 Days, Last 30 Days, Last Quarter, Year-to-Date) and custom range selection.
  • Granularity Control: Ability to switch between daily, weekly, monthly, quarterly, and yearly views for trend charts.
  • Filtering & Segmentation:

* Dimension Filters: By product, service, region, campaign, customer segment, device type, traffic source, etc.

* Multi-Select Filters: Allow users to select multiple values for a single filter.

  • Drill-Down Capabilities: Clickable elements (e.g., a bar in a chart) to reveal more granular data in a new view or modal.
  • Comparison Functionality: Compare current period performance against previous periods (e.g., current month vs. previous month, current year vs. previous year).
  • Export Options: Export dashboard views or specific charts/tables as CSV, PDF, PNG, or shareable links.
  • Dynamic Visualizations: Interactive charts (line, bar, pie, scatter, gauge, geo-maps) and tables.
  • Search Functionality: Quickly find specific reports, metrics, or data points.
  • Role-Based Access Control (RBAC): (Optional, based on requirement) Manage user permissions to ensure data security and relevance.
  • Alerts & Notifications: (Optional) Set up thresholds for KPIs to trigger email or in-app notifications.

3. Proposed Wireframe Structure & Layout

The dashboard will adopt a clean, modular, and intuitive layout designed for optimal information consumption.

3.1. General Layout Structure

  • Header Bar:

* Logo: Top-left, for branding.

* Dashboard Title: Prominent, indicating the current view (e.g., "Overall Business Performance").

* Global Date Range Selector: Top-right, applies to all data on the page.

* Action Buttons: Export, Share, Help/Feedback icons.

  • Sidebar Navigation (Optional, for multi-page dashboards):

* Collapsible menu on the left, listing main dashboard sections (e.g., "Overview," "Marketing," "Sales," "Customers," "Product").

* Clear icons and labels for easy navigation.

  • Main Content Area:

* Filter Panel: A dedicated, collapsible section (e.g., left-aligned or top-aligned) for applying various filters (e.g., product, region, campaign).

* Summary Cards/KPIs: A row of prominent cards at the top, displaying high-level summary metrics with clear labels, current values, and sparkline trends or percentage changes from the previous period.

* Key Performance Trends: Section dedicated to time-series charts (line/area charts) showing performance over selected date ranges, with granularity control.

* Breakdowns & Distributions: Sections for bar charts, pie charts, or treemaps illustrating data segmentation (e.g., "Sales by Product Category," "Traffic Sources").

* Geographical Insights: (If applicable) A map visualization showing performance by region/country.

* Detailed Data Tables: Tabular views for granular data, with sortable columns, pagination, and search capabilities.

3.2. Illustrative Wireframe Sections

  1. Dashboard Overview (Homepage)

* Header: Logo, "Overall Performance Dashboard", Date Selector, Export.

* KPI Summary Cards:

* Total Revenue: $X.XXM (↑ 5% vs. prev. period)

* Total Customers: X,XXX (↑ 2% vs. prev. period)

* Conversion Rate: X.X% (↓ 0.1% vs. prev. period)

* Average Order Value: $XX.XX (↑ 1% vs. prev. period)

* Revenue Trend: Line chart showing "Total Revenue" over time (Daily/Weekly/Monthly toggle).

* Customer Acquisition vs. Churn: Dual-axis line/bar chart.

* Top 5 Products by Revenue: Horizontal bar chart.

* Revenue by Region: Choropleth map.

  1. Marketing Performance View

* Header: Logo, "Marketing Performance", Date Selector, Export.

* KPI Summary Cards:

* Website Sessions: X,XXX,XXX (↑ 10%)

* Leads Generated: X,XXX (↑ 8%)

* Conversion Rate: X.X% (↑ 0.5%)

* CPA: $X.XX (↓ 2%)

* Traffic Sources Breakdown: Donut chart (Organic, Paid, Direct, Referral, Social).

* Campaign Performance: Table with Campaign Name, Spend, Impressions, Clicks, Conversions, ROAS.

* Website Traffic Trend: Line chart showing sessions and unique visitors over time.

* Landing Page Performance: Bar chart showing top landing pages by conversion rate.


4. Recommended Color Palette & Typography

A thoughtful color palette and typography ensure readability, brand consistency, and effective data communication.

4.1. Primary Color Palette

This palette will be used for the main dashboard interface elements, backgrounds, and primary calls to action.

  • Primary Accent: #007bff (Vibrant Blue - for interactive elements, primary buttons, main chart highlights)
  • Secondary Accent: #6c757d (Muted Grey - for secondary actions, subtle borders)
  • Background (Light): #f8f9fa (Off-white - for main content areas)
  • Background (Darker Neutral): #e9ecef (Light Grey - for section dividers, card backgrounds)
  • Text (Primary): #212529 (Dark Grey - for main headings and body text)
  • Text (Secondary): #6c757d (Muted Grey - for labels, descriptions, smaller text)

4.2. Data Visualization Palette

A distinct, colorblind-friendly palette for charts and graphs, ensuring clear differentiation between data series.

  • Series 1: #1f77b4 (Steel Blue)
  • Series 2: #ff7f0e (Safety Orange)
  • Series 3: #2ca02c (Forest Green)
  • Series 4: #d62728 (Brick Red)
  • Series 5: #9467bd (Purple)
  • Series 6: #8c564b (Brown)
  • Series 7: #e377c2 (Pink)
  • Series 8: #7f7f7f (Grey)
  • Series 9: #bcbd22 (Olive Green)
  • Series 10: #17becf (Cyan)

Semantic Colors for Status/Trends:

  • Success/Positive: #28a745 (Green)
  • Warning/Neutral: #ffc107 (Yellow/Amber)
  • Danger/Negative: #dc3545 (Red)
  • Information: #17a2b8 (Light Blue)

4.3. Typography

  • Font Family: A modern, sans-serif font for readability and professionalism.

* Primary: 'Inter' or 'Roboto' (or similar system font like 'Arial', 'Helvetica Neue')

* Fallback: sans-serif

  • Hierarchy:
gemini Output

This document outlines the detailed design specifications for the "Analytics Dashboard Builder" application. It covers core functionality, design principles, specific UI components, visual branding, and user experience recommendations. This deliverable will guide the development team in creating a robust, intuitive, and aesthetically pleasing product.


Analytics Dashboard Builder: Design Specifications

1. Project Overview & Objectives

The "Analytics Dashboard Builder" aims to provide users with a powerful yet intuitive platform to create, customize, and manage interactive data dashboards. The primary objective is to empower business users, analysts, and decision-makers to effortlessly connect to various data sources, build compelling visualizations, and derive actionable insights without requiring extensive technical expertise.

Key Objectives:

  • Enable seamless connection to diverse data sources.
  • Provide a highly
gemini Output

This document outlines the finalized design assets for your Analytics Dashboard, providing detailed specifications, visual guidelines, and user experience recommendations. This comprehensive output serves as the blueprint for development, ensuring a clear, intuitive, and high-performing dashboard experience.


1. Executive Summary

This deliverable provides the complete design specifications for the Analytics Dashboard. It encompasses the visual identity, interaction patterns, and user experience principles that will guide the dashboard's development. Our goal is to create a dashboard that is not only aesthetically pleasing but also highly functional, intuitive, and actionable, empowering users to derive insights quickly and efficiently.


2. Overall Design Principles & Goals

The design of the Analytics Dashboard is anchored by the following core principles:

  • Clarity & Simplicity: Present complex data in an easy-to-understand format, minimizing cognitive load.
  • Actionability: Enable users to quickly identify trends, anomalies, and opportunities for action.
  • Consistency: Maintain a uniform look, feel, and interaction pattern across all dashboard elements.
  • Responsiveness: Ensure optimal viewing and interaction across various devices and screen sizes.
  • Efficiency: Optimize for performance and fast data loading, providing a seamless user experience.
  • Accessibility: Design with inclusivity in mind, adhering to WCAG standards for color contrast, keyboard navigation, and screen reader compatibility.

3. Detailed Design Specifications

3.1. Dashboard Layout Structure

The dashboard will utilize a flexible, modular grid-based layout to accommodate various widgets and ensure responsiveness.

  • Header (Top Bar):

* Logo: Left-aligned, prominently displaying the company/product logo.

* Dashboard Title: Clear, concise title of the current dashboard view.

* Global Filters/Date Range Picker: Right-aligned, allowing users to apply filters (e.g., date range, region, product category) across all relevant widgets.

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

  • Sidebar Navigation (Optional/Contextual):

* If the dashboard has multiple distinct sections (e.g., "Overview," "Sales," "Marketing," "Operations"), a collapsible left-hand navigation bar will be implemented.

* Icons and text labels for each navigation item.

* Active state highlighting for the current view.

  • Main Content Area:

* A responsive grid system (e.g., 12-column grid) will house all data widgets.

* Widgets will dynamically resize and reflow based on screen dimensions.

* Clear spacing and separation between widgets for readability.

  • Footer (Optional):

* Copyright information, version number, and links to privacy policy/terms of service.

3.2. Key Component/Widget Specifications

All widgets will feature a consistent card-based design with subtle shadows for visual separation.

3.2.1. KPI Cards

  • Structure:

* Metric Title: Top-left, clear and concise (e.g., "Total Revenue").

* Current Value: Prominent, large font size, central placement (e.g., "$1.2M").

* Comparison Value: Smaller font below the current value, indicating change from a previous period (e.g., "+5% vs. Last Month").

* Trend Indicator: Small icon (up/down arrow) and color (green/red) accompanying the comparison value.

* Mini-Chart (Optional): A small sparkline or bar chart within the card showing recent trend.

  • Interactivity: Clickable to drill down into a more detailed report for that specific KPI.

3.2.2. Charts & Graphs

  • Common Elements:

* Widget Title: Clear and descriptive (e.g., "Monthly Sales Trend").

* Chart Type: Line, Bar (vertical/horizontal), Pie/Donut, Area, Scatter, Heatmap, etc., chosen based on data type and insight required.

* Axes Labels: Clearly labeled X and Y axes (where applicable).

* Legend: Clear, concise legend for multiple data series.

* Tooltips: On-hover tooltips displaying precise data points.

* Zoom/Pan: For time-series or dense charts, allow users to zoom in/out and pan.

* Export Options: Icons for exporting chart data (CSV, Excel) or image (PNG, SVG).

  • Interactivity:

* Clickable chart elements (e.g., bars, pie slices) to filter or drill down.

* Brush selection for time series to filter a specific period.

3.2.3. Data Tables

  • Structure:

* Widget Title: (e.g., "Top Performing Products").

* Column Headers: Clearly labeled, sortable (asc/desc) by clicking.

* Data Rows: Alternating row background colors for readability.

* Pagination: For large datasets, enable pagination controls (e.g., "Previous," "Next," page numbers).

* Search/Filter Bar: Above the table for quick data search within the table.

  • Interactivity:

* Clickable rows for drill-down to detailed item view.

* Context menu on right-click for additional actions (e.g., "View Details," "Edit").

* Export to CSV/Excel button.

3.2.4. Filters & Controls

  • Date Range Picker: Calendar icon, pre-set options (e.g., "Today," "Last 7 Days," "This Month," "Custom Range").
  • Dropdowns: Single-select and multi-select options, with search functionality for long lists.
  • Search Bars: With clear placeholder text.
  • Toggle Buttons/Switches: For on/off settings or view changes.
  • Apply/Reset Buttons: To explicitly apply filters or clear all selections.

3.2.5. Notifications & Alerts

  • Toast Notifications: Short-lived messages for success, error, or informational feedback.
  • In-App Alerts: Persistent banners for critical system messages or data anomalies.
  • Badge Indicators: On icons (e.g., for new messages or tasks).

3.3. Responsiveness

The dashboard will be designed with a "mobile-first" approach, ensuring optimal experience across all device types:

  • Desktop (1280px+): Full multi-column layout, detailed widgets.
  • Tablet (768px - 1279px): Widgets will reflow into 1-2 columns, potentially hiding less critical elements or using tabbed views.
  • Mobile (320px - 767px): Single-column layout, stacked widgets, optimized touch targets, and simplified navigation (e.g., hamburger menu).
  • Flexible Grid: Utilizing CSS Grid or Flexbox for dynamic layout adjustments.

4. Wireframe Descriptions (Key Screens)

4.1. Dashboard Overview Screen

  • Header: Standard header with global date range filter set to "Last 30 Days."
  • Top Row (KPIs): Four prominent KPI cards:

1. Total Revenue: Current value, % change vs. previous period, green up arrow.

2. New Customers: Current value, % change vs. previous period, green up arrow.

3. Average Order Value: Current value, % change vs. previous period, green up arrow.

4. Conversion Rate: Current value, % change vs. previous period, red down arrow.

  • Second Row (Trend Charts):

1. Revenue by Month (Line Chart): X-axis: Months, Y-axis: Revenue.

2. Customer Acquisition by Channel (Stacked Bar Chart): X-axis: Channel, Y-axis: Number of Customers.

  • Third Row (Detailed Data):

1. Top 5 Products by Revenue (Bar Chart): Horizontal bars, product name, revenue amount.

2. Recent Orders (Data Table): Columns: Order ID, Customer Name, Date, Total, Status. Pagination enabled.

4.2. Detailed Sales Performance Report

  • Header: Standard header with specific filters for "Product Category" (dropdown) and "Region" (multi-select dropdown).
  • Main Chart: Sales Trend by Product Category (Area Chart): X-axis: Date, Y-axis: Sales Volume. Multiple colored areas representing different product categories.
  • Key Metrics Section: Three smaller KPI cards for this report:

1. Total Sales (Filtered): Value specific to applied filters.

2. Units Sold (Filtered): Value specific to applied filters.

3. Avg. Discount Rate (Filtered): Value specific to applied filters.

  • Product Performance Table:

* Widget Title: "Product Performance Breakdown"

* Columns: Product Name, Revenue, Units Sold, Profit Margin, Customer Reviews (avg. rating).

* Sortable by all columns, search bar above the table.

  • Sales by Region Map (Optional): A choropleth map highlighting sales performance across geographical regions.

5. Color Palette

The chosen color palette balances professionalism with visual appeal, ensuring data clarity and accessibility.

  • Primary Brand Color:

* HEX: #007BFF (A vibrant, professional blue)

* Usage: Main call-to-action buttons, active navigation states, primary headers, key chart series.

  • Accent Colors:

* Accent 1 (Success/Positive):

* HEX: #28A745 (Green)

* Usage: Positive trend indicators, success messages, growth metrics.

* Accent 2 (Warning/Neutral):

* HEX: #FFC107 (Amber)

* Usage: Warning messages, neutral trend indicators, secondary chart series.

* Accent 3 (Error/Negative):

* HEX: #DC3545 (Red)

* Usage: Negative trend indicators, error messages, decline metrics.

  • Neutral Colors:

* Dark Text/Heading:

* HEX: #343A40 (Dark Gray)

* Usage: Primary text, widget titles.

* Body Text:

* HEX: #6C757D (Medium Gray)

* Usage: General body text, labels, secondary information.

* Border/Divider:

* HEX: #DEE2E6 (Light Gray)

* Usage: Separators, input field borders.

* Background:

* HEX: #F8F9FA (Off-White)

* Usage: Main dashboard background, card backgrounds.

  • Data Visualization Palette (Example - 6 distinct colors for charts):

1. #007BFF (Primary Blue)

2. #6F42C1 (Violet)

3. #20C997 (Teal)

4. #FD7E14 (Orange)

5. #E83E8C (Pink)

6. #6610F2 (Indigo)

* Usage: Distinct series in multi-series charts, ensuring high contrast and differentiation.


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\n )\n}\nexport default App\n"); zip.file(folder+"src/index.css","*{margin:0;padding:0;box-sizing:border-box}\nbody{font-family:system-ui,-apple-system,sans-serif;background:#f0f2f5;color:#1a1a2e}\n.app{min-height:100vh;display:flex;flex-direction:column}\n.app-header{flex:1;display:flex;flex-direction:column;align-items:center;justify-content:center;gap:12px;padding:40px}\nh1{font-size:2.5rem;font-weight:700}\n"); 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)+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\nnpm install\nnpm run dev\n\`\`\`\n\n## Build\n\`\`\`bash\nnpm run build\n\`\`\`\n\n## Open in IDE\nOpen the project folder in VS Code or WebStorm.\n"); zip.file(folder+".gitignore","node_modules/\ndist/\n.env\n.DS_Store\n*.local\n"); } /* --- 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",'{\n "name": "'+pn+'",\n "version": "0.0.0",\n "type": "module",\n "scripts": {\n "dev": "vite",\n "build": "vue-tsc -b && vite build",\n "preview": "vite preview"\n },\n "dependencies": {\n "vue": "^3.5.13",\n "vue-router": "^4.4.5",\n "pinia": "^2.3.0",\n "axios": "^1.7.9"\n },\n "devDependencies": {\n "@vitejs/plugin-vue": "^5.2.1",\n "typescript": "~5.7.3",\n "vite": "^6.0.5",\n "vue-tsc": "^2.2.0"\n }\n}\n'); zip.file(folder+"vite.config.ts","import { defineConfig } from 'vite'\nimport vue from '@vitejs/plugin-vue'\nimport { resolve } from 'path'\n\nexport default defineConfig({\n plugins: [vue()],\n resolve: { alias: { '@': resolve(__dirname,'src') } }\n})\n"); zip.file(folder+"tsconfig.json",'{"files":[],"references":[{"path":"./tsconfig.app.json"},{"path":"./tsconfig.node.json"}]}\n'); zip.file(folder+"tsconfig.app.json",'{\n "compilerOptions":{\n "target":"ES2020","useDefineForClassFields":true,"module":"ESNext","lib":["ES2020","DOM","DOM.Iterable"],\n "skipLibCheck":true,"moduleResolution":"bundler","allowImportingTsExtensions":true,\n "isolatedModules":true,"moduleDetection":"force","noEmit":true,"jsxImportSource":"vue",\n "strict":true,"paths":{"@/*":["./src/*"]}\n },\n "include":["src/**/*.ts","src/**/*.d.ts","src/**/*.tsx","src/**/*.vue"]\n}\n'); zip.file(folder+"env.d.ts","/// \n"); zip.file(folder+"index.html","\n\n\n \n \n "+slugTitle(pn)+"\n\n\n
\n \n\n\n"); 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'\nimport { createPinia } from 'pinia'\nimport App from './App.vue'\nimport './assets/main.css'\n\nconst app = createApp(App)\napp.use(createPinia())\napp.mount('#app')\n"); var hasApp=Object.keys(extracted).some(function(k){return k.indexOf("App.vue")>=0;}); if(!hasApp) zip.file(folder+"src/App.vue","\n\n\n\n\n"); 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}\n"); 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)+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\nnpm install\nnpm run dev\n\`\`\`\n\n## Build\n\`\`\`bash\nnpm run build\n\`\`\`\n\nOpen in VS Code or WebStorm.\n"); zip.file(folder+".gitignore","node_modules/\ndist/\n.env\n.DS_Store\n*.local\n"); } /* --- 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",'{\n "name": "'+pn+'",\n "version": "0.0.0",\n "scripts": {\n "ng": "ng",\n "start": "ng serve",\n "build": "ng build",\n "test": "ng test"\n },\n "dependencies": {\n "@angular/animations": "^19.0.0",\n "@angular/common": "^19.0.0",\n "@angular/compiler": "^19.0.0",\n "@angular/core": "^19.0.0",\n "@angular/forms": "^19.0.0",\n "@angular/platform-browser": "^19.0.0",\n "@angular/platform-browser-dynamic": "^19.0.0",\n "@angular/router": "^19.0.0",\n "rxjs": "~7.8.0",\n "tslib": "^2.3.0",\n "zone.js": "~0.15.0"\n },\n "devDependencies": {\n "@angular-devkit/build-angular": "^19.0.0",\n "@angular/cli": "^19.0.0",\n "@angular/compiler-cli": "^19.0.0",\n "typescript": "~5.6.0"\n }\n}\n'); zip.file(folder+"angular.json",'{\n "$schema": "./node_modules/@angular/cli/lib/config/schema.json",\n "version": 1,\n "newProjectRoot": "projects",\n "projects": {\n "'+pn+'": {\n "projectType": "application",\n "root": "",\n "sourceRoot": "src",\n "prefix": "app",\n "architect": {\n "build": {\n "builder": "@angular-devkit/build-angular:application",\n "options": {\n "outputPath": "dist/'+pn+'",\n "index": "src/index.html",\n "browser": "src/main.ts",\n "tsConfig": "tsconfig.app.json",\n "styles": ["src/styles.css"],\n "scripts": []\n }\n },\n "serve": {"builder":"@angular-devkit/build-angular:dev-server","configurations":{"production":{"buildTarget":"'+pn+':build:production"},"development":{"buildTarget":"'+pn+':build:development"}},"defaultConfiguration":"development"}\n }\n }\n }\n}\n'); zip.file(folder+"tsconfig.json",'{\n "compileOnSave": false,\n "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"]},\n "references":[{"path":"./tsconfig.app.json"}]\n}\n'); zip.file(folder+"tsconfig.app.json",'{\n "extends":"./tsconfig.json",\n "compilerOptions":{"outDir":"./dist/out-tsc","types":[]},\n "files":["src/main.ts"],\n "include":["src/**/*.d.ts"]\n}\n'); zip.file(folder+"src/index.html","\n\n\n \n "+slugTitle(pn)+"\n \n \n \n\n\n \n\n\n"); zip.file(folder+"src/main.ts","import { bootstrapApplication } from '@angular/platform-browser';\nimport { appConfig } from './app/app.config';\nimport { AppComponent } from './app/app.component';\n\nbootstrapApplication(AppComponent, appConfig)\n .catch(err => console.error(err));\n"); zip.file(folder+"src/styles.css","* { margin: 0; padding: 0; box-sizing: border-box; }\nbody { font-family: system-ui, -apple-system, sans-serif; background: #f9fafb; color: #111827; }\n"); 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';\nimport { RouterOutlet } from '@angular/router';\n\n@Component({\n selector: 'app-root',\n standalone: true,\n imports: [RouterOutlet],\n templateUrl: './app.component.html',\n styleUrl: './app.component.css'\n})\nexport class AppComponent {\n title = '"+pn+"';\n}\n"); zip.file(folder+"src/app/app.component.html","
\n
\n

"+slugTitle(pn)+"

\n

Built with PantheraHive BOS

\n
\n \n
\n"); 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}\n"); } zip.file(folder+"src/app/app.config.ts","import { ApplicationConfig, provideZoneChangeDetection } from '@angular/core';\nimport { provideRouter } from '@angular/router';\nimport { routes } from './app.routes';\n\nexport const appConfig: ApplicationConfig = {\n providers: [\n provideZoneChangeDetection({ eventCoalescing: true }),\n provideRouter(routes)\n ]\n};\n"); zip.file(folder+"src/app/app.routes.ts","import { Routes } from '@angular/router';\n\nexport const routes: Routes = [];\n"); 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)+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\nnpm install\nng serve\n# or: npm start\n\`\`\`\n\n## Build\n\`\`\`bash\nng build\n\`\`\`\n\nOpen in VS Code with Angular Language Service extension.\n"); zip.file(folder+".gitignore","node_modules/\ndist/\n.env\n.DS_Store\n*.local\n.angular/\n"); } /* --- Python --- */ function buildPython(zip,folder,app,code){ var title=slugTitle(app); var pn=pkgName(app); var src=code.replace(/^\`\`\`[\w]*\n?/m,"").replace(/\n?\`\`\`$/m,"").trim(); var reqMap={"numpy":"numpy","pandas":"pandas","sklearn":"scikit-learn","tensorflow":"tensorflow","torch":"torch","flask":"flask","fastapi":"fastapi","uvicorn":"uvicorn","requests":"requests","sqlalchemy":"sqlalchemy","pydantic":"pydantic","dotenv":"python-dotenv","PIL":"Pillow","cv2":"opencv-python","matplotlib":"matplotlib","seaborn":"seaborn","scipy":"scipy"}; var reqs=[]; Object.keys(reqMap).forEach(function(k){if(src.indexOf("import "+k)>=0||src.indexOf("from "+k)>=0)reqs.push(reqMap[k]);}); var reqsTxt=reqs.length?reqs.join("\n"):"# add dependencies here\n"; zip.file(folder+"main.py",src||"# "+title+"\n# Generated by PantheraHive BOS\n\nprint(title+\" loaded\")\n"); zip.file(folder+"requirements.txt",reqsTxt); zip.file(folder+".env.example","# Environment variables\n"); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\npython3 -m venv .venv\nsource .venv/bin/activate\npip install -r requirements.txt\n\`\`\`\n\n## Run\n\`\`\`bash\npython main.py\n\`\`\`\n"); zip.file(folder+".gitignore",".venv/\n__pycache__/\n*.pyc\n.env\n.DS_Store\n"); } /* --- Node.js --- */ function buildNode(zip,folder,app,code){ var title=slugTitle(app); var pn=pkgName(app); var src=code.replace(/^\`\`\`[\w]*\n?/m,"").replace(/\n?\`\`\`$/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)+"\n"; zip.file(folder+"package.json",pkgJson); var fallback="const express=require(\"express\");\nconst app=express();\napp.use(express.json());\n\napp.get(\"/\",(req,res)=>{\n res.json({message:\""+title+" API\"});\n});\n\nconst PORT=process.env.PORT||3000;\napp.listen(PORT,()=>console.log(\"Server on port \"+PORT));\n"; zip.file(folder+"src/index.js",src||fallback); zip.file(folder+".env.example","PORT=3000\n"); zip.file(folder+".gitignore","node_modules/\n.env\n.DS_Store\n"); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\nnpm install\n\`\`\`\n\n## Run\n\`\`\`bash\nnpm run dev\n\`\`\`\n"); } /* --- 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:"\n\n\n\n\n"+title+"\n\n\n\n"+code+"\n\n\n\n"; zip.file(folder+"index.html",indexHtml); zip.file(folder+"style.css","/* "+title+" — styles */\n*{margin:0;padding:0;box-sizing:border-box}\nbody{font-family:system-ui,-apple-system,sans-serif;background:#fff;color:#1a1a2e}\n"); zip.file(folder+"script.js","/* "+title+" — scripts */\n"); zip.file(folder+"assets/.gitkeep",""); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\n## Open\nDouble-click \`index.html\` in your browser.\n\nOr serve locally:\n\`\`\`bash\nnpx serve .\n# or\npython3 -m http.server 3000\n\`\`\`\n"); zip.file(folder+".gitignore",".DS_Store\nnode_modules/\n.env\n"); } /* ===== 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(/\n{2,}/g,"

"); h+="

"+hc+"

Generated by PantheraHive BOS
"; zip.file(folder+app+".html",h); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\nFiles:\n- "+app+".md (Markdown)\n- "+app+".html (styled HTML)\n"); } 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);}});}