Lovable Prompt Creator - AI Prompt Generator

## APPLICATION OVERVIEW
The application is a web app designed for analyzing data uploaded in CSV or Excel format. It allows users to process and visualize production data, categorize it by partner, month, status, and value, while also identifying trends such as increases or decreases, script errors, and important observations related to each partner.

## CORE FEATURES
1. **Data Upload**: Users can upload CSV or Excel files for data processing.
2. **Data Processing**: The application will perform specific data treatments to prepare the data for analysis.
3. **Dashboard View**: A comprehensive dashboard that displays production metrics, allowing users to filter by partner and month.
4. **Trend Analysis**: Visual representations of data trends over time, highlighting increases, decreases, and errors.
5. **Partner Insights**: Detailed insights and observations for each partner, facilitating better decision-making.
6. **Export Functionality**: Users can export processed data and reports in various formats for external use.

## DESIGN SPECIFICATIONS
- **Visual Style**: minimalist - Clean, simple design with plenty of white space, minimal color palette, and focus on typography
- **Color Mode**: Light theme with dark text on light backgrounds
- **Primary Color**: #1978E5 (accent for buttons, links, highlights)
- **Typography**: Use Inter from Google Fonts for headings, Inter for body text and UI elements
- **Border Radius**: 8px (moderately rounded) for buttons, cards, and inputs
- **Layout**: The main layout will consist of a header for navigation, a sidebar for filtering options, and a central dashboard area displaying graphs and tables.

## TECHNICAL REQUIREMENTS
- **Framework**: React with TypeScript
- **Styling**: Tailwind CSS
- **UI Components**: shadcn/ui
- **State Management**: Redux or Context API for managing application state.

## IMPLEMENTATION STEPS
1. **Set Up Project**: Initialize a new React project with TypeScript.
2. **Install Dependencies**: Add Tailwind CSS and any other required libraries (shadcn/ui, Redux).
3. **Create Data Upload Component**: Develop a component for users to upload CSV and Excel files.
4. **Implement Data Processing Logic**: Build functions to handle data parsing and processing.
5. **Build Dashboard Component**: Create the dashboard layout to display processed data, including graphs and tables.
6. **Add Filtering Options**: Implement the sidebar for filtering data by partner, month, and status.
7. **Visualize Trends**: Integrate charting libraries to create visual representations of data trends.
8. **Export Functionality**: Implement features for exporting data and reports.
9. **Test and Deploy**: Ensure the application is fully functional, responsive, and ready for deployment.

## USER EXPERIENCE
Users will interact with a clean and intuitive interface, starting by uploading their data files. They can easily navigate through the dashboard to filter and analyze their data. Insights and trends will be visually represented, allowing users to quickly grasp their production metrics and make informed decisions based on the analysis provided. The application will focus on responsiveness, ensuring a seamless experience across devices.