<<<<<<< HEAD
A Comprehensive Enterprise Financial Management Solution by Paksa IT Solutions
Explore our comprehensive documentation to get started with the Paksa Financial System:
- User Guide - Learn how to use the system's features and functionality.
- API Documentation - Reference for integrating with our RESTful API.
- Developer Documentation - Setup, architecture, and contribution guidelines.
- Architecture - System design and technical architecture overview.
- Implementation Plan - Roadmap and development progress.
- BI Dashboard Specs - Specifications for business intelligence dashboards.
The Paksa Financial System is a comprehensive, AI-accelerated financial management platform designed to streamline financial operations, ensure compliance, and provide actionable insights for organizations of all sizes. Built on a modern, secure, and scalable architecture, it centralizes critical financial functions, offering unparalleled visibility and control over an enterprise's fiscal health.
-
General Ledger (GL)
- Chart of Accounts Management
- Multi-currency Transactions
- Budgeting & Forecasting
- Financial Reporting & Analytics
- AI-powered Anomaly Detection
-
Accounts Payable (AP)
- Vendor Management
- Invoice Processing
- Three-Way Matching
- Automated Payment Processing
- 1099 Reporting
-
Accounts Receivable (AR)
- Customer Invoicing
- Payment Processing
- Automated Dunning
- Dispute Management
- Collections
-
Cash Management
- Real-time Cash Positioning
- AI-enhanced Cash Flow Forecasting
- Bank Reconciliation
- Liquidity Planning
-
Fixed Assets
- Asset Lifecycle Management
- Depreciation Calculation
- Maintenance Scheduling
- Disposal Management
-
Payroll
- Employee Compensation
- Tax Calculations & Filings
- Benefits Administration
- Compliance Management
-
Business Intelligence & AI
- Interactive Dashboards
- Advanced Financial Forecasting
- Predictive Analytics
- Fraud Detection
-
Security & Compliance
- End-to-End Encryption
- Role-Based Access Control (RBAC)
- Row-Level Security (RLS)
- Comprehensive Audit Trails
- SOX & PCI DSS Compliance
-
Integration Capabilities
- Banking APIs
- Payment Gateways
- E-commerce Platforms
- Third-party Services
- Python 3.9+
- Node.js 16+
- PostgreSQL 13+
- Redis 6+
- RabbitMQ 3.8+
-
Clone the repository
git clone https://github.com/paksaitsolutions/PaksaFinancialSystem.git cd PaksaFinancialSystem -
Set up the backend
# Create and activate virtual environment python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate # Install dependencies pip install -r requirements.txt
-
Set up the frontend
cd frontend npm install -
Configure environment variables Create
.envfiles in both root and frontend directories with required configurations. -
Run database migrations
alembic upgrade head
-
Start the backend server
uvicorn app.main:app --reload
-
Start the frontend development server
cd frontend npm run dev -
Access the application Open your browser and navigate to
http://localhost:3000
- Framework: FastAPI
- Database: PostgreSQL
- ORM: SQLAlchemy Core & Django ORM
- Authentication: JWT
- Caching: Redis
- Message Queue: RabbitMQ/Kafka
- Containerization: Docker
- Orchestration: Kubernetes
- Framework: Vue.js 3
- UI Library: Vuetify 3
- State Management: Pinia
- HTTP Client: Axios
- Form Validation: Vuelidate
- Internationalization: Vue I18n
For detailed documentation, please refer to:
We welcome contributions from the community! Please read our Contributing Guidelines and Code of Conduct for details on our development process.
If you encounter any issues, please open an issue on GitHub.
This project is proprietary software. All rights reserved by Paksa IT Solutions.
- Website: www.paksa.com.pk
- Email: info@paksa.com.pk
- Support: support@paksa.com.pk
- Sales: sales@paksa.com.pk
passlib[bcrypt]==1.7.4 python-multipart==0.0.6 sqlalchemy==2.0.23 alembic==1.12.1 psycopg2-binary==2.9.9 pydantic==2.4.2 pydantic-settings==2.0.3 python-dateutil==2.8.2
### Database
asyncpg==0.28.0 sqlalchemy-utils==0.41.1
### Authentication
python-jose[cryptography]==3.3.0 passlib[bcrypt]==1.7.4 python-multipart==0.0.6
### API Documentation
typing-extensions==4.8.0
### Testing
pytest==7.4.3 pytest-asyncio==0.21.1 httpx==0.25.1
### Development
black==23.11.0 isort==5.12.0 mypy==1.6.1 pre-commit==3.5.0
### Linting
flake8==6.1.0 flake8-bugbear==23.9.23 flake8-comprehensions==3.14.0
### Monitoring and Logging
sentry-sdk[fastapi]==1.34.0 python-json-logger==2.0.7
### Utilities
python-slugify==8.0.1 email-validator==2.1.0.post1
---
## 🚀 Getting Started
Follow these instructions to get a local development environment running.
### Prerequisites
* Python 3.10+
* PostgreSQL 14+
* Docker & Docker Compose
* Node.js 16+ (for frontend development)
### Installation & Setup
1. **Clone the repository:**
```sh
git clone [https://github.com/your-username/paksa-financial-system.git](https://github.com/your-username/paksa-financial-system.git)
cd paksa-financial-system
```
2. **Create and activate a virtual environment:**
```sh
python -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`
```
3. **Install dependencies:**
```sh
pip install -r requirements.txt
```
4. **Configure environment variables:**
* Copy the example environment file:
```sh
cp .env.example .env
```
* Update the `.env` file with your local database credentials and other required API keys.
5. **Run database migrations:**
```sh
alembic upgrade head
```
6. **Start the development server:**
```sh
uvicorn main:app --reload
```
The application should now be running on `http://127.0.0.1:8000`.
---
## 📜 License
This project is proprietary of Paksa IT Solutions. All rights reserved.
=======
# Paksa Financial System
**A Comprehensive Enterprise Financial Management Solution by Paksa IT Solutions**
[](https://paksa.com.pk)
[](https://paksa.com/docs)
[](https://python.org)
[](https://fastapi.tiangolo.com)
[](https://vuejs.org/)
[](https://www.postgresql.org/)
[](https://github.com/paksaitsolutions/PaksaFinancialSystem/actions)
[](https://paksa.com.pk)
[](https://python.org)
[](https://fastapi.tiangolo.com)
[](https://vuejs.org/)
[](https://www.postgresql.org/)
## 📚 Documentation
Explore our comprehensive documentation to get started with the Paksa Financial System:
### Getting Started
- [**Quick Start Guide**](docs/QUICK_START.md) - Get up and running quickly with the Paksa Financial System.
- [**User Guide**](docs/user_guide.md) - Learn how to use the system's features and functionality.
- [**Security**](docs/SECURITY.md) - Security best practices and guidelines.
### Development
- [**Developer Documentation**](docs/developer.md) - Setup, architecture, and contribution guidelines.
- [**Best Practices**](docs/development/BEST_PRACTICES.md) - Coding standards and best practices for developers.
- [**Architecture**](docs/architecture.md) - System design and technical architecture overview.
- [**Visual Design**](docs/design/VISUAL_PREVIEW.md) - UI/UX design guidelines and previews.
### API
- [**API Reference**](docs/api/swagger.yaml) - Swagger/OpenAPI specification for our RESTful API.
- [**Integration Guide**](docs/modules/tax/INTEGRATION_GUIDE.md) - How to integrate with our system.
### Progress & Planning
- [**Implementation Plan**](docs/implementation_plan.md) - Roadmap and development progress.
- [**Dashboard Completion**](docs/progress/DASHBOARD_COMPLETION.md) - Status of dashboard implementations.
- [**Project Progress**](docs/progress/TODO.md) - Current tasks and progress tracking.
- [**Implementation Status**](docs/progress/IMPLEMENTATION_COMPLETE.md) - Overview of completed features.
### Modules
- [**Tax Module**](docs/modules/tax/USER_GUIDE.md) - User guide for the Tax module.
- [**Tax API Reference**](docs/modules/tax/API_REFERENCE.md) - API documentation for the Tax module.
- [**Tax Analytics**](docs/modules/tax/analytics-dashboard.md) - Analytics dashboard specifications for Tax.
- [**Budget Module**](docs/budget_module.md) - Documentation for the Budget module.
- [**BI Dashboard**](docs/BI_DASHBOARD_SPECS.md) - Specifications for business intelligence dashboards.
## ⚠️ PROJECT STATUS
**IMPORTANT:** This system is currently in **PROTOTYPE STAGE** (35% complete). While the architecture is production-ready, most modules contain mock data and simulated functionality. See [HONEST_PROJECT_STATUS.md](HONEST_PROJECT_STATUS.md) for detailed status.
## 🌟 Overview
The **Paksa Financial System** is a comprehensive financial management platform **under development**. The system features excellent architecture and design but requires significant additional development to achieve production readiness.
## ✨ Key Features
### Core Financial Modules
- **Enhanced Accounting Module**
- Chart of Accounts Management
- Multi-currency Transactions
- Journal Entries with Double-Entry
- Financial Period Management
- Multi-tenant Isolation
- **Invoicing Module**
- Customer Invoice Creation
- Payment Gateway Integration
- Recurring Invoice Support
- Invoice Approval Workflows
- Multi-tenant Templates
- **Procurement Module**
- Vendor Management
- Purchase Order Workflows
- Approval Processes
- Payment Processing
- Analytics per Company
- **HRM Module**
- Employee Management
- Leave Management
- Attendance Tracking
- Performance Reviews
- Self-Service Portal
- **Inventory Management**
- Stock Tracking (FIFO, LIFO, Average)
- Reorder Point Management
- Multi-location Support
- Barcode Integration
- Cycle Counting
### Advanced Features
- **BI/AI Dashboard Module**
- Company-Specific Dashboards
- Predictive Analytics
- Anomaly Detection
- Custom KPIs
- AI-Powered Insights
- **AI Assistant Module**
- Embedded Financial Chatbot
- Natural Language Processing
- Company Data Integration
- Multi-Language Support
- Custom AI Workflows
- **Multi-Tenant Architecture**
- Complete Data Isolation
- Company-Specific Branding
- Tenant-Aware Security
- Cross-Tenant Prevention
- Scalable Infrastructure
- **Integration Platform**
- Banking API Integration (Plaid)
- Payment Gateways (Stripe, PayPal)
- Tax Services (Avalara, TaxJar)
- E-commerce (Shopify, WooCommerce)
- HRIS Systems (BambooHR)
## 🚀 Getting Started
### Prerequisites
- Python 3.9+
- Node.js 16+
- PostgreSQL 13+
- Redis 6+
- RabbitMQ 3.8+
### Installation
1. **Clone the repository**
```bash
git clone https://github.com/paksaitsolutions/PaksaFinancialSystem.git
cd PaksaFinancialSystem
-
Set up the backend
# Create and activate virtual environment python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate # Install dependencies pip install -r requirements.txt
-
Set up the frontend
cd frontend npm install -
Configure environment variables Create
.envfiles in both root and frontend directories with required configurations. -
Run database migrations
alembic upgrade head
-
Start the backend server
uvicorn app.main:app --reload
-
Start the frontend development server
cd frontend npm run dev -
Access the application Open your browser and navigate to
http://localhost:3000
- Framework: FastAPI with async/await
- Database: PostgreSQL 15+ with streaming replication
- ORM: SQLAlchemy with async support
- Authentication: JWT with RBAC
- Caching: Redis with tenant isolation
- Background Jobs: Custom job queue system
- Containerization: Docker & Docker Compose
- Orchestration: Kubernetes with HPA
- Framework: Vue.js 3 with Composition API
- UI Library: Vuetify 3 (Material Design)
- State Management: Pinia
- HTTP Client: Axios with interceptors
- Build Tool: Vite
- Mobile Support: Responsive PWA-ready
- Load Balancing: Nginx with SSL termination
- Monitoring: Prometheus + Grafana
- CI/CD: GitHub Actions
- CDN: AWS CloudFront integration
- Database Sharding: Multi-shard support
The Paksa Financial System includes functional AI and BI features:
BI Dashboard Module:
- Real-time analytics with data aggregation
- Custom KPI creation and tracking
- Interactive charts and visualizations
- Anomaly detection with scoring algorithms
- Predictive analytics using statistical models
AI Assistant Module:
- Natural language processing for financial queries
- Context-aware responses based on company data
- Automated workflow suggestions
- Multi-language support
- Conversation history and learning
Implementation Notes:
- AI features use rule-based systems and statistical analysis
- Machine learning models are simulated for demonstration
- Real ML integration requires additional ML infrastructure
- Anomaly detection uses statistical thresholds
- Predictive analytics uses time series analysis
For full AI/ML capabilities in production:
- ML model training infrastructure
- Data science team for model development
- Additional compute resources for ML workloads
- Integration with ML platforms (TensorFlow, PyTorch)
For detailed documentation, please refer to:
We welcome contributions from the community! Please read our Contributing Guidelines and Code of Conduct for details on our development process.
If you encounter any issues, please open an issue on GitHub.
This project is proprietary software. All rights reserved by Paksa IT Solutions.
- Website: www.paksa.com.pk
- Email: info@paksa.com.pk
- Support: support@paksa.com.pk
- Sales: sales@paksa.com.pk
- Development Stage: Prototype with mock data
- Multi-Tenant: Framework implemented, needs completion
- Scalable: Architecture designed for scale
- Mobile Optimized: Basic responsive design
- Most modules contain mock/hardcoded data
- Business logic is simulated, not implemented
- No real database integration in new modules
- Frontend components are non-functional shells
- Requires 2-3 months additional development for production
passlib[bcrypt]==1.7.4 python-multipart==0.0.6 sqlalchemy==2.0.23 alembic==1.12.1 psycopg2-binary==2.9.9 pydantic==2.4.2 pydantic-settings==2.0.3 python-dateutil==2.8.2
### Database
asyncpg==0.28.0 sqlalchemy-utils==0.41.1
### Authentication
python-jose[cryptography]==3.3.0 passlib[bcrypt]==1.7.4 python-multipart==0.0.6
### API Documentation
typing-extensions==4.8.0
### Testing
pytest==7.4.3 pytest-asyncio==0.21.1 httpx==0.25.1
### Development
black==23.11.0 isort==5.12.0 mypy==1.6.1 pre-commit==3.5.0
### Linting
flake8==6.1.0 flake8-bugbear==23.9.23 flake8-comprehensions==3.14.0
### Monitoring and Logging
sentry-sdk[fastapi]==1.34.0 python-json-logger==2.0.7
### Utilities
python-slugify==8.0.1 email-validator==2.1.0.post1
---
## 🚀 Getting Started
Follow these instructions to get a local development environment running.
### Prerequisites
* Python 3.10+
* PostgreSQL 14+
* Docker & Docker Compose
* Node.js 16+ (for frontend development)
### Installation & Setup
1. **Clone the repository:**
```sh
git clone [https://github.com/your-username/paksa-financial-system.git](https://github.com/your-username/paksa-financial-system.git)
cd paksa-financial-system
```
2. **Create and activate a virtual environment:**
```sh
python -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`
```
3. **Install dependencies:**
```sh
pip install -r requirements.txt
```
4. **Configure environment variables:**
* Copy the example environment file:
```sh
cp .env.example .env
```
* Update the `.env` file with your local database credentials and other required API keys.
5. **Run database migrations:**
```sh
alembic upgrade head
```
6. **Start the development server:**
```sh
uvicorn main:app --reload
```
The application should now be running on `http://127.0.0.1:8000`.
---
## 📜 License
This project is proprietary of Paksa IT Solutions. All rights reserved.
# Employee Management Module Completed
>>>>>>> e96df7278ce4216131b6c65d411c0723f4de7f91