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Built with TypeScript, Tailwind CSS, and modern React patterns, featuring AI-powered filtering and intelligent data validation.\n\n## ✨ Features\n\n### 🔥 Core Functionality\n- **Multi-Entity Data Management**: Handle clients, workers, and tasks with dedicated data structures and seamless entity switching\n- **AI-Powered Filtering**: Natural language queries with intelligent field mapping and context-aware processing\n- **Advanced Data Validation**: Real-time validation with comprehensive error reporting and field-specific feedback\n- **Rule-Based Processing**: Create and manage complex business rules with drag-and-drop prioritization\n- **Priority Configuration**: Advanced priority weighting with pairwise comparison matrices and preset profiles\n- **Persistent Data Storage**: Automatic local storage with session restoration and file metadata tracking\n\n### 🤖 AI-Enhanced Operations\n- **Natural Language Filtering**: \n  - `\"Show clients with priority level greater than 3\"`\n  - `\"Tasks that require coding skills\"`\n  - `\"Workers in GroupB with qualification level 5\"`\n  - `\"Design tasks longer than 1 phase\"`\n  - `\"Show tasks with concurrency ≥ 2\"`\n- **Smart Field Mapping**: Automatically maps natural language to actual field names with fallback matching\n- **AI Assistant**: Floating contextual assistant providing suggestions for rules, filters, and validations\n- **Dynamic Expression Generation**: Converts text queries to JavaScript filter expressions with error handling\n- **Intelligent Query Processing**: Handles complex patterns like phase ranges, skill combinations, and concurrent assignments\n\n### 📊 Data Processing\n- **Multi-Format Import**: Support for CSV and Excel files with automatic parsing and entity type detection\n- **Live Data Editing**: In-place editing with instant validation feedback and error highlighting\n- **Advanced Export Options**: \n  - Individual CSV exports per entity type with timestamps\n  - Combined Excel workbooks with multiple sheets and metadata\n  - Complete data packages as ZIP files with configuration\n  - Rules configuration export as JSON with validation metadata\n- **Data Integrity**: Cross-entity reference validation and dependency tracking\n- **Batch Operations**: Multi-file upload with validation summaries and error reporting\n\n### 🎯 Advanced Filtering\n- **Dual Mode Filtering**:\n  - **AI Mode**: Natural language processing with context awareness and smart field detection\n  - **Text Mode**: Enhanced pattern matching with logical operators and manual expression building\n- **Quick Filters**: Pre-defined common filters for rapid data exploration per entity type\n- **Filter Chaining**: Apply multiple filters with visual filter chips and cumulative results\n- **Complex Query Support**: \n  - Range queries: `\"priority is 2 to 4\"`, `\"phases 1 to 3\"`\n  - Contains operations: `\"name contains Corp\"`, `\"skills include coding\"`\n  - Comparison operators: `\u003e`, `\u003c`, `\u003e=`, `\u003c=`, `=`, `≥`, `≤`\n  - Phase-based filtering: `\"tasks in phase 2\"`, `\"available slots include 3\"`\n  - Skill matching: `\"coding and ml skills\"`, `\"testing or ui/ux\"`\n  - Complex combinations: `\"Design tasks longer than 1 phase and run in phase 2\"`\n\n## 🏗️ Architecture\n\n### Tech Stack\n- **Framework**: Next.js 15.3.4 with App Router and Turbopack for fast development\n- **Language**: TypeScript 5+ with strict type checking and comprehensive interfaces\n- **Styling**: Tailwind CSS 4.1.11 with custom components and responsive design\n- **UI Components**: Radix UI primitives with custom styling and accessibility features\n- **State Management**: React hooks with local storage persistence and session restoration\n- **Animations**: Framer Motion for smooth interactions and micro-animations\n- **File Processing**: ExcelJS, PapaParse, JSZip for comprehensive data import/export\n- **AI Integration**: OpenRouter API with Claude 3 Haiku for natural language processing\n- **Data Validation**: Custom validation engine with real-time field-level feedback\n\n### Project Structure\n```\nsrc/\n├── app/                    # Next.js App Router\n│   ├── api/               # API routes for filtering and rule processing\n│   │   ├── filter-expression/  # AI-powered filter generation\n│   │   └── parse-rule/         # Natural language rule parsing\n│   ├── globals.css        # Global styles and Tailwind configuration\n│   ├── layout.tsx         # Root layout with providers and metadata\n│   └── page.tsx           # Main application with state management\n├── components/            # React components\n│   ├── ui/               # Base UI components (shadcn/ui)\n│   │   ├── button.tsx    # Customizable button component\n│   │   ├── input.tsx     # Form input with validation states\n│   │   ├── card.tsx      # Container component with variants\n│   │   ├── tabs.tsx      # Tabbed interface component\n│   │   ├── badge.tsx     # Status and type indicators\n│   │   └── ...           # Additional UI primitives\n│   ├── AIAssistant.tsx   # Floating AI suggestion system\n│   ├── AiFilter.tsx      # AI-enhanced natural language filtering\n│   ├── TextFilter.tsx    # Manual filtering with logical operators\n│   ├── DataTable.tsx     # Interactive data grid with editing\n│   ├── ManageFilters.tsx # Comprehensive filter management interface\n│   ├── ModularRuleManager.tsx # Advanced rule creation and management\n│   ├── TabbedDataView.tsx # Multi-entity tabbed interface\n│   ├── ModernFileUpload.tsx # Drag-and-drop file upload component\n│   ├── InlineStatsPanel.tsx # Data health and statistics dashboard\n│   └── EnhancedPrioritySlider.tsx # Priority configuration interface\n├── utils/                # Utility functions and business logic\n│   ├── dataStorage.ts    # Local storage operations with compression\n│   ├── exportUtility.ts  # Data export functionality (CSV/Excel/ZIP)\n│   ├── validationEngine.ts # Comprehensive data validation rules\n│   ├── filterWithClaude.ts # AI filtering integration\n│   ├── ruleBuilder.ts    # Business rule construction logic\n│   ├── rulesExport.ts    # Rule configuration serialization\n│   ├── mapHeaders.ts     # CSV header mapping and normalization\n│   ├── validateData.ts   # Data quality checks and formatting\n│   └── download.ts       # File download utilities\n└── lib/\n    └── utils.ts          # Common utility functions and helpers\n```\n\n### Data Flow Architecture\n1. **File Upload** → CSV/Excel parsing → Entity type detection → Validation engine\n2. **AI Filtering** → Natural language processing → Expression generation → Data filtering\n3. **Rule Management** → AI parsing or manual builder → Rule validation → Priority ordering\n4. **Data Export** → Entity selection → Format choice → File generation → Download\n\n### State Management\n- **Entity-Specific Storage**: Separate state management for clients, workers, and tasks\n- **Original Data Preservation**: Maintains original datasets for filter reset functionality\n- **Validation State**: Real-time validation results with error mapping and field-level feedback\n- **Filter State**: Active filters, query history, and result caching\n- **Rule State**: Business rules with priority ordering and confidence scoring\n\n## 🚀 Getting Started\n\n### Prerequisites\n- Node.js 18+ with npm, yarn, or pnpm\n- Modern web browser with JavaScript enabled\n- Optional: OpenRouter API key for enhanced AI features\n\n### Installation\n\n1. **Clone the repository**\n   ```bash\n   git clone \u003crepository-url\u003e\n   cd data-alchemist\n   ```\n\n2. **Install dependencies**\n   ```bash\n   npm install\n   # or\n   yarn install\n   # or\n   pnpm install\n   ```\n\n3. **Environment Setup (Optional)**\n   ```bash\n   # Create .env.local for AI features\n   echo \"OPENROUTER_API_KEY=your_api_key_here\" \u003e .env.local\n   ```\n\n4. **Start the development server**\n   ```bash\n   npm run dev\n   # or\n   yarn dev\n   # or\n   pnpm dev\n   ```\n\n5. **Open the application**\n   Navigate to [http://localhost:3000](http://localhost:3000) in your browser.\n\n### Quick Start Guide\n1. **Upload Sample Data**: Use the sample files in `/public/sample1/` or `/public/sample2/`\n2. **Try AI Filtering**: Use natural language queries like `\"high priority clients\"`\n3. **Create Rules**: Describe business logic in plain English\n4. **Export Data**: Download processed data in your preferred format\n\n## 📝 Usage Guide\n\n### Data Import\n1. **Upload Files**: Use the modern drag-and-drop file upload component to import CSV or Excel files\n2. **Select Entity Type**: Choose whether the data represents clients, workers, or tasks during upload\n3. **Automatic Validation**: The system validates data format and highlights errors with detailed messages\n4. **Review Results**: Check the validation panel for data quality issues and required corrections\n5. **Session Persistence**: Data is automatically saved to local storage with file metadata and upload timestamps\n\n### Filtering Data\n\n#### AI Mode (Recommended)\nUse natural language queries for intelligent filtering:\n- **Basic Comparisons**: `\"priority level equals 5\"`, `\"duration greater than 1\"`\n- **Text Matching**: `\"client name contains Corp\"`, `\"skills include coding\"`\n- **Complex Queries**: `\"Design tasks longer than 1 phase\"`, `\"workers with qualification level \u003e 7\"`\n- **Phase Operations**: `\"tasks in phase 2\"`, `\"available slots include 3\"`, `\"phases 1 to 4\"`\n- **Skill Combinations**: `\"coding and ml skills\"`, `\"testing or ui/ux skills\"`\n- **Concurrency**: `\"show tasks with concurrency ≥ 2\"`, `\"max concurrent equals 1\"`\n\n#### Text Mode (Manual)\nUse structured queries with logical operators:\n- **Operators**: `\u003e`, `\u003c`, `\u003e=`, `\u003c=`, `=`, `≥`, `≤`\n- **Examples**: `priority \u003e 3`, `name contains \"Acme\"`, `qualification level \u003e= 4`\n- **Field References**: Direct field name matching with fallback to partial matching\n\n#### Quick Filters\nPre-configured filters for common use cases:\n- **Clients**: High Priority, VIP Status, Location-based, Budget ranges\n- **Workers**: Skill-based, Qualification levels, Group membership, Availability\n- **Tasks**: Duration ranges, Category filters, Phase requirements, Concurrency levels\n\n#### Filter Management\n- **Filter Chaining**: Apply multiple filters cumulatively with visual chips\n- **Active Filter Display**: See all applied filters with type indicators (AI/Manual)\n- **Filter History**: Previous queries are saved and can be reapplied\n- **Reset Options**: Clear individual filters or reset all to original dataset\n\n### Managing Rules\n\n#### AI-Generated Rules\n1. **Natural Language Input**: Describe business logic in plain English\n   - `\"Tasks with similar skill requirements should run together\"`\n   - `\"Limit senior developers to maximum 3 concurrent projects\"`\n   - `\"Tasks T5 and T9 should never run simultaneously\"`\n2. **Automatic Parsing**: AI converts descriptions to structured rule objects\n3. **Confidence Scoring**: Each rule receives a confidence percentage\n4. **Type Classification**: Automatic categorization (co-run, load limits, exclusions, etc.)\n\n#### Manual Rule Builder\nCreate rules using structured forms with validation:\n\n**Co-Run Rules**: Group tasks that should execute together\n- Specify comma-separated task IDs\n- Define reasons (efficiency, skill similarity, dependencies)\n- Set execution priority\n\n**Load Limit Rules**: Control workload distribution\n- Select worker groups (senior-dev, junior-dev, designers, analysts)\n- Set maximum slots per phase\n- Define override conditions\n\n**Slot Restriction Rules**: Manage resource allocation\n- Specify client and worker group relationships\n- Set minimum common slot requirements\n- Define allocation priorities\n\n**Phase Window Rules**: Restrict task execution timeframes\n- Specify task IDs and allowed phase ranges\n- Set start and end phases (1-10)\n- Add scheduling constraints\n\n**Pattern Match Rules**: Apply rules based on data patterns\n- Select fields (names, skills, categories)\n- Define regex patterns for matching\n- Choose action templates (priority, assignment, exclusion)\n\n#### Rule Management Features\n- **Drag-and-Drop Ordering**: Prioritize rules with visual reordering\n- **Rule Statistics**: View rule counts by type and status\n- **Validation**: Real-time rule structure validation with error reporting\n- **Export/Import**: Save rule configurations as JSON with metadata\n\n### Data Export\n\n#### Individual Exports\n- **Client CSV**: Export client data with all fields and metadata\n- **Worker CSV**: Export worker information including skills and availability\n- **Task CSV**: Export task definitions with requirements and constraints\n- **Rules JSON**: Export business rules with configuration metadata\n\n#### Combined Exports\n- **Excel Workbooks**: Multi-sheet files with all entity types and formatting\n- **ZIP Packages**: Complete data packages with CSV files, Excel workbook, and rules configuration\n- **Timestamped Files**: All exports include timestamps for version tracking\n\n#### Export Features\n- **Format Preservation**: Maintains data types and formatting during export\n- **Metadata Inclusion**: Export includes file information, record counts, and processing history\n- **Error Handling**: Graceful handling of export errors with user feedback\n- **Batch Processing**: Efficient handling of large datasets during export\n\n## 🎨 Key Components\n\n### AIAssistant\nFloating AI assistant providing contextual suggestions:\n- **Intelligent Suggestions**: Context-aware recommendations for business rules, filtering strategies, and validation improvements\n- **Confidence Scoring**: Each suggestion includes confidence percentages (70-100%)\n- **Type Classification**: Categorized suggestions (rule, filter, validation) with color-coded badges\n- **Interactive Interface**: Apply or dismiss suggestions with visual feedback\n- **Persistent Positioning**: Floating button with smooth animations and accessibility support\n\n### ManageFilters  \nComprehensive filtering interface with advanced capabilities:\n- **Dual-Mode Filtering**: Seamless switching between AI and manual text filtering\n- **Quick Filter Buttons**: Pre-configured filters specific to each entity type\n- **Active Filter Management**: Visual chips showing applied filters with removal options\n- **Filter Chaining**: Cumulative application of multiple filters with result tracking\n- **Error Handling**: User-friendly error messages with suggested corrections\n- **Results Preview**: Real-time preview of filtered results before application\n\n### ModularRuleManager\nAdvanced rule creation and management system:\n- **AI Rule Generation**: Natural language rule descriptions converted to structured objects\n- **Manual Rule Builder**: Comprehensive form-based rule creation with validation\n- **Rule Type Support**: Co-run, load limits, slot restrictions, phase windows, pattern matching, precedence\n- **Drag-and-Drop Ordering**: Visual rule prioritization with immediate reordering\n- **Rule Statistics**: Dashboard showing rule counts by type and status\n- **Confidence Tracking**: AI-generated rules include confidence scores\n- **Export Capabilities**: JSON export with metadata and validation information\n\n### DataTable\nInteractive data grid with powerful editing features:\n- **In-Place Editing**: Direct cell editing with immediate validation feedback\n- **Real-Time Validation**: Field-level validation with error highlighting and messages\n- **Sortable Columns**: Click-to-sort functionality with visual indicators\n- **Error Highlighting**: Color-coded cells showing validation issues\n- **Responsive Design**: Adaptive layout for different screen sizes\n- **Type-Aware Editing**: Context-specific input validation based on field types\n\n### TabbedDataView\nMulti-entity interface for seamless data management:\n- **Entity Switching**: Tabbed interface for clients, workers, and tasks\n- **Tab Management**: Create, delete, and rename tabs with confirmation dialogs\n- **Data Isolation**: Separate state management for each entity type\n- **File Metadata**: Display upload information and record counts per tab\n- **Context Preservation**: Maintains filters and selections when switching tabs\n\n### ModernFileUpload\nSophisticated file upload component:\n- **Drag-and-Drop Interface**: Visual drop zones with hover states and animations\n- **Multi-Format Support**: CSV and Excel files with automatic format detection\n- **Entity Type Selection**: Choose data type during upload process\n- **Progress Feedback**: Upload progress indicators and status messages\n- **Error Handling**: Comprehensive error reporting for invalid files or formats\n- **File Validation**: Pre-upload validation of file size and format\n\n### InlineStatsPanel\nData health and statistics dashboard:\n- **Record Counts**: Real-time count of records per entity type\n- **Validation Status**: Summary of validation errors and warnings\n- **Data Quality Metrics**: Health indicators and quality scores\n- **Visual Indicators**: Color-coded status indicators and progress bars\n- **Export Statistics**: Track of exported files and successful operations\n\n### EnhancedPrioritySlider\nAdvanced priority configuration interface:\n- **Weighted Scoring**: Assign importance weights to different criteria\n- **Pairwise Comparison**: Matrix-based priority comparison tool\n- **Preset Profiles**: Pre-configured priority schemes for common scenarios\n- **Dynamic Ranking**: Real-time priority recalculation with visual feedback\n- **Export Integration**: Direct export functionality with priority-based sorting\n\n## 🔧 Configuration\n\n### Data Validation Rules\nThe system supports comprehensive validation for:\n\n#### Clients\n- **ClientID**: Required, unique, format validation with duplicate detection\n- **ClientName**: Required field with non-empty validation\n- **PriorityLevel**: Integer 1-5 range validation with bounds checking\n- **RequestedTaskIDs**: Comma-separated task ID format (T1,T2,T3) with pattern matching\n- **GroupTag**: Enum validation (GroupA, GroupB, GroupC) with predefined values\n- **AttributesJSON**: JSON format validation with syntax checking\n\n#### Workers\n- **WorkerID**: Required, unique identifier with duplication prevention\n- **WorkerName**: Required field with length validation\n- **QualificationLevel**: Integer 1-10 range with skill level validation\n- **Skills**: Comma-separated or array format with skill tag validation\n- **AvailableSlots**: Array of phase numbers [1,3,5] with range checking\n- **MaxLoadPerPhase**: Positive integer validation with capacity limits\n- **WorkerGroup**: Non-empty string validation with group membership\n\n#### Tasks\n- **TaskID**: Required, unique identifier with format validation\n- **TaskName**: Required field with descriptive content validation\n- **Category**: Required category classification with predefined options\n- **Duration**: Positive integer (number of phases ≥1) with timeline validation\n- **RequiredSkills**: Comma-separated skill tags with skill database validation\n- **MaxConcurrent**: Positive integer for parallel assignments with resource limits\n- **PreferredPhases**: Range syntax (1-3) or array [2,4,5] with phase validation\n\n### Environment Configuration\n```bash\n# Optional AI Enhancement\nOPENROUTER_API_KEY=your_api_key_here\n\n# Application Settings (automatic)\nNEXT_PUBLIC_APP_VERSION=0.1.0\nNEXT_PUBLIC_BUILD_MODE=development\n```\n\n## 🔌 API Endpoints\n\n### `/api/filter-expression`\n- **Method**: POST\n- **Purpose**: Converts natural language queries to JavaScript filter expressions\n- **Parameters**:\n  - `query`: Natural language filter description\n  - `entityType`: Target data type (client/worker/task)\n  - `data`: Sample data for context (optional)\n- **Response**: JSON with expression string and metadata\n- **Error Handling**: Comprehensive error messages with suggestions\n\n### `/api/parse-rule`\n- **Method**: POST\n- **Purpose**: Parses and validates business rule definitions\n- **Parameters**:\n  - `ruleText`: Natural language rule description\n  - `entityType`: Applicable entity type\n- **Response**: Structured rule object with type classification\n- **AI Integration**: Uses Claude 3 Haiku for intelligent parsing\n\n## 🎯 Advanced Features\n\n### Priority Configuration\n- **Weighted Scoring**: Assign importance weights to different criteria with dynamic recalculation\n- **Pairwise Comparison**: Matrix-based priority comparison with consistency checking\n- **Preset Profiles**: Pre-configured priority schemes for common business scenarios\n- **Dynamic Ranking**: Real-time priority recalculation with visual feedback\n- **Export Integration**: Priority-aware data sorting and export functionality\n\n### Smart Filtering\n- **Field Mapping**: Automatic translation of natural language to field names with fuzzy matching\n- **Context Awareness**: Entity-specific field recognition with intelligent defaults\n- **Complex Expressions**: Support for nested logical operations with precedence handling\n- **Pattern Recognition**: Intelligent query interpretation with semantic understanding\n- **Error Recovery**: Graceful handling of malformed queries with correction suggestions\n\n### Data Relationships\n- **Cross-Entity References**: Link clients to tasks, workers to skills with referential integrity\n- **Dependency Tracking**: Monitor data relationships and constraints with validation\n- **Integrity Validation**: Ensure referential integrity across entities with constraint checking\n- **Relationship Visualization**: Visual representation of entity connections and dependencies\n\n### Performance Optimization\n- **Lazy Loading**: Efficient data loading with virtualization for large datasets\n- **Caching Strategy**: Intelligent caching of filter results and validation outcomes\n- **Memory Management**: Optimized state management with garbage collection\n- **Background Processing**: Asynchronous operations for export and validation tasks\n\n## 🔍 Example Use Cases\n\n### Project Management\n- **Resource Allocation**: Track client requirements and optimize task assignments\n- **Skill Matching**: Match workers to tasks based on qualification levels and skill sets\n- **Timeline Management**: Coordinate task execution across phases with dependency tracking\n- **Priority Balancing**: Balance competing priorities using weighted scoring systems\n\n### Resource Planning\n- **Capacity Management**: Filter workers by qualification, availability, and workload\n- **Skill Gap Analysis**: Identify missing skills and training requirements\n- **Workload Distribution**: Balance assignments across teams and individuals\n- **Phase Optimization**: Optimize resource allocation across project phases\n\n### Client Relationship Management\n- **Priority Segmentation**: Categorize clients by importance and project value\n- **Requirement Tracking**: Monitor client-specific task requirements and preferences\n- **Performance Analytics**: Generate reports on client engagement and satisfaction\n- **Revenue Optimization**: Prioritize high-value clients and projects\n\n### Data Quality Management\n- **Validation Workflows**: Implement comprehensive data quality checks and corrections\n- **Error Tracking**: Monitor and resolve data quality issues with detailed reporting\n- **Compliance Checking**: Ensure data meets regulatory and business requirements\n- **Audit Trails**: Maintain complete history of data changes and validation results\n\n## 🛠️ Development\n\n### Scripts\n```bash\nnpm run dev          # Start development server with hot reload\nnpm run build        # Build production-ready application\nnpm run start        # Start production server\nnpm run lint         # Run ESLint for code quality\nnpm run type-check   # Run TypeScript compiler checks\n```\n\n### Code Quality\n- **TypeScript**: Strict type checking with comprehensive interfaces\n- **ESLint**: Code quality enforcement with custom rules\n- **Prettier**: Consistent code formatting across the project\n- **Husky**: Pre-commit hooks for quality assurance\n\n### Testing Strategy\n- **Unit Tests**: Component and utility function testing\n- **Integration Tests**: API endpoint and data flow testing\n- **E2E Tests**: Full user workflow validation\n- **Performance Tests**: Load testing and optimization validation\n\n## 🤝 Contributing\n\n1. **Fork the repository** and create a feature branch\n2. **Follow coding standards** with TypeScript and ESLint compliance\n3. **Write comprehensive tests** for new features and bug fixes\n4. **Document changes** with clear commit messages and PR descriptions\n5. **Test thoroughly** across different browsers and screen sizes\n\n### Development Guidelines\n- Use semantic commit messages (feat:, fix:, docs:, etc.)\n- Maintain type safety with comprehensive TypeScript interfaces\n- Follow component composition patterns with proper separation of concerns\n- Implement accessibility features following WCAG guidelines\n- Optimize for performance with lazy loading and efficient state management\n\n## 📄 License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## 🙏 Acknowledgments\n\n- **Framework**: Built with [Next.js](https://nextjs.org/) and [React](https://reactjs.org/)\n- **UI Foundation**: Components powered by [Radix UI](https://www.radix-ui.com/) and [shadcn/ui](https://ui.shadcn.com/)\n- **Styling**: Beautiful designs with [Tailwind CSS](https://tailwindcss.com/)\n- **Animations**: Smooth interactions by [Framer Motion](https://www.framer.com/motion/)\n- **Icons**: Comprehensive icon set from [Lucide React](https://lucide.dev/)\n- **AI Integration**: Natural language processing via [OpenRouter](https://openrouter.ai/)\n- **File Processing**: Data handling with [ExcelJS](https://github.com/exceljs/exceljs) and [PapaParse](https://www.papaparse.com/)\n\n---\n\n**Data Alchemist** - Transform your data into insights with the power of AI and intelligent processing. 🚀\n\n*Built with ❤️ for efficient data management and analysis.*\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkane-dylan%2Fdata-alchemist","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkane-dylan%2Fdata-alchemist","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkane-dylan%2Fdata-alchemist/lists"}