cogenbai

.env

@@ -0,0 +1,5 @@
+MODEL_NAME=codegen-16B-multi
+DEVICE=cuda
+API_TOKEN_SECRET=your-secret-key
+PROMETHEUS_ENABLED=true
+DEBUG=false

BUILD.md

@@ -0,0 +1,311 @@
+# COGENBAI Build Guide
+
+This guide explains how to build, deploy, and use COGENBAI from source, including Ollama integration.
+
+## Prerequisites
+
+- Python 3.8 or higher
+- CUDA-capable GPU (recommended)
+- Git
+- Docker (optional)
+- Ollama
+
+## Local Development Setup
+
+1. Clone the repository:
+```bash
+git clone https://github.com/algoscienceacademy/cogenbai.git
+cd cogenbai
+```
+
+2. Create a virtual environment:
+```bash
+python -m venv venv
+source venv/bin/activate  # On Windows: venv\Scripts\activate
+```
+
+3. Install dependencies:
+```bash
+pip install -e ".[dev]"
+```
+
+## Building the Model
+
+1. Download the base model:
+```bash
+python scripts/download_model.py --model codegen-16B-multi
+```
+
+2. Train or fine-tune (optional):
+```bash
+python scripts/train.py \
+    --model-path models/codegen-16B-multi \
+    --train-data data/code_samples \
+    --epochs 3
+```
+
+## Ollama Integration
+
+1. Install Ollama:
+```bash
+curl -fsSL https://ollama.com/install.sh | sh
+```
+
+2. Create Modelfile:
+```bash
+# Create Modelfile
+FROM codellama
+PARAMETER temperature 0.7
+PARAMETER top_p 0.95
+SYSTEM """
+You are COGENBAI, an advanced code generation AI created by Algo Science Academy.
+Created by: Shahrear Hossain Shawon
+Organization: Algo Science Academy
+"""
+
+# Build the model
+ollama create cogenbai -f Modelfile
+```
+
+3. Deploy with Ollama:
+```bash
+ollama run cogenbai
+```
+
+## Building with Ollama
+
+### Prerequisites
+- Ollama installed on your system
+- Base model files ready
+
+### Steps to Build Model in Ollama
+
+1. Create a Modelfile:
+```bash
+# Modelfile
+FROM codellama
+PARAMETER temperature 0.7
+PARAMETER top_p 0.95
+PARAMETER num_ctx 4096
+
+# Model configuration
+SYSTEM """
+You are COGENBAI, an advanced code generation AI.
+Focus: Code generation and software development assistance
+Created by: Shahrear Hossain Shawon
+Organization: Algo Science Academy
+"""
+
+# Include base model files
+FROM models/codegen-16B-multi
+```
+
+2. Build the model in Ollama:
+```bash
+# Navigate to project directory
+cd cogenbai
+
+# Build the model
+ollama create cogenbai -f Modelfile
+
+# Verify the build
+ollama list
+```
+
+3. Run the model:
+```bash
+ollama run cogenbai
+```
+
+### Testing the Build
+
+Test your model with a simple prompt:
+```bash
+ollama run cogenbai "Write a Python function to calculate fibonacci sequence"
+```
+
+### Troubleshooting Ollama Build
+
+If you encounter issues:
+1. Check Ollama logs:
+```bash
+ollama logs
+```
+
+2. Rebuild model if needed:
+```bash
+ollama rm cogenbai
+ollama create cogenbai -f Modelfile
+```
+
+## Docker Deployment
+
+1. Build Docker image:
+```bash
+docker build -t cogenbai:latest .
+```
+
+2. Run container:
+```bash
+docker run -d -p 8000:8000 cogenbai:latest
+```
+
+## Project Structure
+
+```
+cogenbai/
+├── cogenbai/
+│   ├── core/           # Core model implementation
+│   ├── languages/      # Language-specific generators
+│   ├── templates/      # Code templates
+│   ├── collaboration/  # Real-time collaboration
+│   ├── review/        # Code review tools
+│   ├── testing/       # Test generation
+│   └── api/           # REST API
+├── tests/             # Unit and integration tests
+├── scripts/           # Build and utility scripts
+└── docs/             # Documentation
+```
+
+## Configuration
+
+1. Create configuration file:
+```yaml
+# config.yaml
+model:
+  name: codegen-16B-multi
+  device: cuda
+  max_length: 1024
+  temperature: 0.7
+
+language:
+  default: python
+  style:
+    python: black
+    javascript: prettier
+```
+
+2. Apply configuration:
+```python
+from cogenbai import CogenConfig
+config = CogenConfig.load('config.yaml')
+```
+
+## API Deployment
+
+1. Start the API server:
+```bash
+uvicorn cogenbai.api.server:app --host 0.0.0.0 --port 8000
+```
+
+2. Access API documentation:
+```
+http://localhost:8000/docs
+```
+
+## Testing
+
+Run the test suite:
+```bash
+pytest tests/
+```
+
+## Development Workflow
+
+1. Create new feature branch:
+```bash
+git checkout -b feature/new-feature
+```
+
+2. Make changes and run tests:
+```bash
+pytest tests/
+black cogenbai/
+```
+
+3. Build documentation:
+```bash
+mkdocs build
+```
+
+## Performance Optimization
+
+1. Enable CUDA acceleration:
+```python
+model = CogenBAI(device="cuda")
+```
+
+2. Batch processing:
+```python
+config = CogenConfig(batch_size=4, num_workers=2)
+```
+
+## Monitoring
+
+1. Start Prometheus metrics:
+```bash
+docker-compose up -d prometheus grafana
+```
+
+2. Access dashboard:
+```
+http://localhost:3000
+```
+
+## Troubleshooting
+
+Common issues and solutions:
+
+1. CUDA Out of Memory:
+```bash
+export PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:128
+```
+
+2. Model Loading Issues:
+```python
+import torch
+torch.cuda.empty_cache()
+```
+
+## Security Considerations
+
+1. API Authentication:
+```python
+from fastapi.security import OAuth2PasswordBearer
+oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")
+```
+
+2. Rate Limiting:
+```python
+from fastapi_limiter import FastAPILimiter
+await FastAPILimiter.init(redis)
+```
+
+## Production Deployment
+
+1. Using Kubernetes:
+```bash
+kubectl apply -f k8s/
+```
+
+2. Load Balancing:
+```bash
+kubectl apply -f k8s/ingress.yaml
+```
+
+## Contributing
+
+1. Fork the repository
+2. Create feature branch
+3. Make changes
+4. Submit pull request
+
+## Support
+
+For support and questions:
+- Email: contact@algoscienceacademy.com
+- GitHub Issues: [Create Issue](https://github.com/algoscienceacademy/cogenbai/issues)
+
+## License
+
+Copyright (c) 2024 Algo Science Academy. All rights reserved.

INTEGRATION.md

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+# COGENBAI Integration Guide
+
+## Component Integration Map
+
+### 1. Core Components
+```
+cogenbai/core/
+├── model.py       # Main AI model (CogenBAI class)
+└── config.py      # Configuration management
+```
+- `model.py` is the central component that integrates with all other modules
+- `config.py` provides configuration management used across all components
+
+### 2. API Layer Integration
+```
+cogenbai/api/
+├── server.py      # FastAPI server
+└── middleware.py  # Request logging and auth
+```
+- `server.py` exposes core functionality via REST API
+- Connects to core model, language generator, and collaboration features
+
+### 3. Language Support Integration
+```
+cogenbai/languages/
+└── generator.py   # Language-specific code generation
+```
+- Used by core model for language-specific code generation
+- Integrates with templates and modern frameworks
+
+### 4. Collaboration Features
+```
+cogenbai/collaboration/
+├── session.py     # Session management
+└── websocket.py   # Real-time collaboration
+```
+- WebSocket server handles real-time code synchronization
+- Session manager tracks active collaboration sessions
+
+### 5. Development Tools
+```
+cogenbai/
+├── debug/         # Code analysis
+├── review/        # Code review
+└── testing/       # Test generation
+```
+- All tools integrate with core model via API endpoints
+- Share common configuration and language support
+
+## Integration Flow
+
+1. **Startup Sequence**
+```python
+from cogenbai import CogenBAI, CogenConfig
+
+# Load configuration
+config = CogenConfig.load('config.yaml')
+
+# Initialize core model
+model = CogenBAI(config)
+
+# Start API server
+from cogenbai.api.server import app
+import uvicorn
+uvicorn.run(app)
+```
+
+2. **Code Generation Flow**
+```python
+# 1. Request comes through API
+@app.post("/generate")
+async def generate_code(request: CodeRequest):
+    
+    # 2. Core model handles request
+    code = model.generate_code(
+        prompt=request.prompt,
+        language=request.language
+    )
+    
+    # 3. Language generator processes code
+    from cogenbai.languages.generator import LanguageGenerator
+    lang_generator = LanguageGenerator()
+    formatted_code = lang_generator.format(code, request.language)
+    
+    return {"code": formatted_code}
+```
+
+3. **Collaboration Flow**
+```python
+# 1. WebSocket connection established
+@app.websocket("/ws/{session_id}")
+async def websocket_endpoint(websocket: WebSocket, session_id: str):
+    
+    # 2. Session manager handles connection
+    await session_manager.connect(session_id, websocket)
+    
+    # 3. Real-time updates broadcast to all participants
+    await collaboration_manager.broadcast(
+        session_id,
+        {"type": "update", "data": code_update}
+    )
+```
+
+## File Paths and Dependencies
+
+All components are installed under the main package:
+```
+/c:/Users/shahrear/Downloads/cogenbai/
+├── cogenbai/           # Main package directory
+├── tests/              # Test files
+├── Modelfile          # Ollama model definition
+├── BUILD.md           # Build instructions
+└── INTEGRATION.md     # This file
+```
+
+## Configuration Integration
+
+The `config.py` file integrates all components through shared settings:
+```yaml
+model:
+  name: codegen-16B-multi
+  device: cuda
+  
+languages:
+  default: python
+  supported: [python, javascript, ...]
+  
+collaboration:
+  max_sessions: 100
+  timeout: 3600
+  
+api:
+  host: 0.0.0.0
+  port: 8000
+```
+
+## Testing Integration
+
+Run integrated tests:
+```bash
+pytest tests/integration/
+```
+
+## Monitoring Integration
+
+All components emit metrics:
+```python
+from cogenbai.monitoring import metrics
+
+# Track model performance
+metrics.track_generation_time(duration)
+
+# Monitor API requests
+metrics.track_api_request(endpoint, status)
+
+# Log collaboration events
+metrics.track_collaboration_session(session_id)
+```
+
+## Security Integration
+
+Components share common security features:
+- API authentication
+- Session validation
+- Rate limiting
+- Input sanitization
+
+## Production Integration Steps
+
+1. Build the model:
+```bash
+ollama create cogenbai -f Modelfile
+```
+
+2. Start all components:
+```bash
+# Start API server
+uvicorn cogenbai.api.server:app
+
+# Start collaboration server
+python -m cogenbai.collaboration.server
+
+# Start monitoring
+docker-compose up -d prometheus grafana
+```
+
+3. Verify integration:
+```bash
+curl http://localhost:8000/health
+```

README.md

@@ -1,3 +1,34 @@
----
-license: mit
----
+# COGENBAI - Advanced Code Generation AI
+
+COGENBAI is a specialized AI model built on CodeLlama, optimized for software development and code analysis.
+
+## Features
+
+- 🚀 Advanced code generation
+- 📊 Code analysis and optimization
+- 🏗️ Project scaffolding
+- 🔍 Code review and debugging
+- 🛠️ Multi-framework support
+- 🤝 Collaborative development
+
+## Quick Start
+
+```bash
+# Create the model
+ollama create cogenbai:7.5b -f Modelfile
+
+# Run the model
+ollama run cogenbai:7.5b
+
+# Example usage
+ollama run cogenbai:7.5b "Create a FastAPI endpoint for user authentication"
+```
+
+## Configuration
+
+See `config.yaml` for model parameters and settings.
+
+## License
+
+Copyright (c) 2025 Algo Science Academy
+````

cogenbai.egg-info/PKG-INFO

@@ -0,0 +1,241 @@
+Metadata-Version: 2.2
+Name: cogenbai
+Version: 1.0.0
+Summary: Advanced AI model for coding experts by Algo Science Academy
+Home-page: https://algoscienceacademy.com/cogenbai
+Author: Shahrear Hossain Shawon
+Author-email: contact@algoscienceacademy.com
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Intended Audience :: Developers
+Classifier: License :: Other/Proprietary License
+Classifier: Programming Language :: Python :: 3.8
+Requires-Python: >=3.8
+Description-Content-Type: text/markdown
+Requires-Dist: torch>=1.9.0
+Requires-Dist: transformers>=4.11.0
+Requires-Dist: pyttsx3>=2.90
+Requires-Dist: fastapi>=0.68.0
+Requires-Dist: uvicorn>=0.15.0
+Requires-Dist: click>=8.0.0
+Requires-Dist: autopep8>=1.5.7
+Requires-Dist: black>=21.5b2
+Requires-Dist: yapf>=0.31.0
+Requires-Dist: websockets>=10.0
+Requires-Dist: python-socketio>=5.5.0
+Dynamic: author
+Dynamic: author-email
+Dynamic: classifier
+Dynamic: description
+Dynamic: description-content-type
+Dynamic: home-page
+Dynamic: requires-dist
+Dynamic: requires-python
+Dynamic: summary
+
+# COGENBAI
+
+An advanced AI model for coding experts, created by Algo Science Academy.
+
+## About
+
+COGENBAI is developed by Algo Science Academy under the leadership of Shahrear Hossain Shawon,
+a student at International Islamic University Chittagong. This cutting-edge AI model represents
+a significant advancement in automated code generation and development assistance.
+
+## Organization
+
+- **Organization**: Algo Science Academy
+- **Lead Developer**: Shahrear Hossain Shawon
+- **Institution**: International Islamic University Chittagong
+- **Version**: 1.0.0
+
+## Features
+
+- Multi-language code generation
+- Framework and library integration
+- Complete software solutions
+- Custom framework creation
+- Real-time voiceover assistance
+- Cross-platform development support
+- Advanced debugging tools
+- Collaborative development features
+
+## Installation
+
+```bash
+pip install cogenbai
+```
+
+## Usage
+
+```python
+from cogenbai import CogenBAI, VoiceSynthesizer
+
+# Initialize the model
+model = CogenBAI()
+
+# Generate code
+code = model.generate_code(
+    prompt="Create a REST API endpoint in Python",
+    language="python"
+)
+
+# Use voice assistance
+voice = VoiceSynthesizer()
+voice.explain_code(code, "This code creates a REST API endpoint using FastAPI")
+```
+
+## API Usage
+
+Start the API server:
+```bash
+uvicorn cogenbai.api.server:app --reload
+```
+
+Generate code via API:
+```bash
+curl -X POST "http://localhost:8000/generate" \
+     -H "Content-Type: application/json" \
+     -d '{"prompt": "Create a REST API endpoint", "language": "python"}'
+```
+
+Get supported languages:
+```bash
+curl "http://localhost:8000/supported-languages"
+```
+
+## CLI Usage
+
+Generate code from command line:
+```bash
+cogenbai generate "Create a REST API endpoint" -l python -f fastapi
+```
+
+List supported languages:
+```bash
+cogenbai list-languages
+```
+
+## Project Scaffolding
+
+Generate a new project structure:
+```bash
+cogenbai scaffold my-project -t python_project -d "My awesome project"
+```
+
+## Code Optimization
+
+```python
+from cogenbai.optimization import CodeOptimizer
+
+optimizer = CodeOptimizer()
+optimized_code = optimizer.optimize(code, "python")
+complexity = optimizer.analyze_complexity(code)
+```
+
+## Collaborative Development
+
+Start a collaborative session:
+```python
+import asyncio
+from cogenbai import CogenBAI
+from cogenbai.collaboration import SessionManager
+
+async def main():
+    session_manager = SessionManager()
+    session = await session_manager.create_session("session1", "user1")
+    
+    # Join session
+    await session_manager.join_session("session1", "user2")
+    
+    # Update code
+    await session_manager.update_code("session1", "print('Hello, World!')")
+
+asyncio.run(main())
+```
+
+Connect to WebSocket for real-time updates:
+```javascript
+const ws = new WebSocket('ws://localhost:8000/ws/session1/user1');
+ws.onmessage = (event) => {
+    const data = JSON.parse(event.data);
+    if (data.type === 'code_update') {
+        console.log('Code updated:', data.code);
+    }
+};
+```
+
+## Code Review and Testing
+
+Review code quality:
+```python
+from cogenbai.review import CodeReviewAnalyzer
+
+reviewer = CodeReviewAnalyzer()
+results = reviewer.review_code(code, "python")
+print(f"Code quality score: {results['complexity']['cyclomatic_complexity']}")
+```
+
+Generate tests:
+```python
+from cogenbai.testing import TestGenerator
+
+generator = TestGenerator()
+test_code = generator.generate_tests(code, "python", "unit")
+print("Generated test code:", test_code)
+```
+
+## Hardware Requirements
+
+### Model Size Information
+- Model Parameters: 16 billion
+- Model Size (FP16): ~32GB
+- Model Size (FP32): ~64GB
+
+### Minimum Hardware Requirements
+- GPU Memory: 40GB (for FP16)
+- System RAM: 64GB recommended
+- Storage: 100GB free space
+
+### Recommended Hardware
+- GPU: NVIDIA A5000 (24GB) or better
+- GPU Memory: 48GB or more
+- System RAM: 128GB
+- Storage: 500GB NVMe SSD
+
+### Supported GPU Configurations
+1. Single GPU (High-end):
+   - NVIDIA A6000 (48GB)
+   - NVIDIA A100 (80GB)
+
+2. Multi-GPU Setup:
+   - 2x NVIDIA RTX 4090 (24GB each)
+   - 2x NVIDIA A5000 (24GB each)
+
+### Memory Optimization Options
+1. FP16 Precision (Default)
+   - Model Size: ~32GB
+   - Working Memory: ~8GB
+   - Total Required: ~40GB
+
+2. 8-bit Quantization
+   - Model Size: ~16GB
+   - Working Memory: ~4GB
+   - Total Required: ~20GB
+
+3. 4-bit Quantization
+   - Model Size: ~8GB
+   - Working Memory: ~2GB
+   - Total Required: ~10GB
+
+## License
+
+Copyright (c) 2024 Algo Science Academy. All rights reserved.
+
+## Contact
+
+For inquiries and collaboration opportunities:
+- Organization: Algo Science Academy
+- Lead Developer: Shahrear Hossain Shawon
+- Email: contact@algoscienceacademy.com
+- Website: https://algoscienceacademy.com

cogenbai.egg-info/SOURCES.txt

@@ -0,0 +1,11 @@
+README.md
+setup.py
+cogenbai/__init__.py
+cogenbai/config.py
+cogenbai.egg-info/PKG-INFO
+cogenbai.egg-info/SOURCES.txt
+cogenbai.egg-info/dependency_links.txt
+cogenbai.egg-info/entry_points.txt
+cogenbai.egg-info/requires.txt
+cogenbai.egg-info/top_level.txt
+tests/test_model.py

cogenbai.egg-info/dependency_links.txt

@@ -0,0 +1 @@
+

cogenbai.egg-info/entry_points.txt

@@ -0,0 +1,2 @@
+[console_scripts]
+cogenbai = cogenbai.cli.main:cli

cogenbai.egg-info/requires.txt

@@ -0,0 +1,11 @@
+torch>=1.9.0
+transformers>=4.11.0
+pyttsx3>=2.90
+fastapi>=0.68.0
+uvicorn>=0.15.0
+click>=8.0.0
+autopep8>=1.5.7
+black>=21.5b2
+yapf>=0.31.0
+websockets>=10.0
+python-socketio>=5.5.0

cogenbai.egg-info/top_level.txt

@@ -0,0 +1 @@
+cogenbai

cogenbai/__init__.py

@@ -0,0 +1,10 @@
+from .core.model import CogenBAI
+from .voice.synthesizer import VoiceSynthesizer
+from .languages.generator import LanguageGenerator
+from .debug.analyzer import CodeAnalyzer
+from .config import CogenConfig
+from .api.server import app as api_app
+
+__version__ = "0.1.0"
+
+__all__ = ['CogenBAI', 'VoiceSynthesizer', 'LanguageGenerator', 'CodeAnalyzer', 'CogenConfig', 'api_app']

cogenbai/api/middleware.py

@@ -0,0 +1,13 @@
+import time
+from fastapi import Request
+import logging
+
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+async def log_request_middleware(request: Request, call_next):
+    start_time = time.time()
+    response = await call_next(request)
+    process_time = time.time() - start_time
+    logger.info(f"{request.method} {request.url.path} - {process_time:.2f}s")
+    return response

cogenbai/api/server.py

@@ -0,0 +1,128 @@
+from fastapi import FastAPI, HTTPException, WebSocket, WebSocketDisconnect, Depends
+from fastapi.security import OAuth2PasswordBearer
+from pydantic import BaseModel
+from typing import Optional, Dict, Any
+
+from ..core.model import CogenBAI
+from ..languages.generator import LanguageGenerator
+from ..collaboration.session import SessionManager
+from ..collaboration.websocket import collaboration_manager
+from ..review.analyzer import CodeReviewAnalyzer
+from ..testing.generator import TestGenerator
+
+app = FastAPI(title="COGENBAI API")
+model = CogenBAI()
+lang_generator = LanguageGenerator()
+session_manager = SessionManager()
+code_reviewer = CodeReviewAnalyzer()
+test_generator = TestGenerator()
+oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")
+
+class CodeRequest(BaseModel):
+    prompt: str
+    language: str
+    framework: Optional[str] = None
+    max_length: Optional[int] = 1024
+    temperature: float = 0.7
+
+@app.post("/generate")
+async def generate_code(request: CodeRequest, token: str = Depends(oauth2_scheme)) -> Dict[str, Any]:
+    try:
+        code = model.generate_code(
+            prompt=request.prompt,
+            language=request.language,
+            max_length=request.max_length,
+            temperature=request.temperature
+        )
+        return {"status": "success", "code": code}
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+@app.get("/supported-languages")
+async def get_supported_languages():
+    return {"languages": list(lang_generator.language_configs.keys())}
+
+@app.websocket("/ws/{session_id}/{user_id}")
+async def websocket_endpoint(websocket: WebSocket, session_id: str, user_id: str):
+    await collaboration_manager.connect(session_id, websocket)
+    try:
+        session = await session_manager.join_session(session_id, user_id)
+        if not session:
+            await websocket.close()
+            return
+            
+        while True:
+            data = await websocket.receive_json()
+            if data["type"] == "code_update":
+                await session_manager.update_code(session_id, data["code"])
+                await collaboration_manager.broadcast(session_id, {
+                    "type": "code_update",
+                    "code": data["code"],
+                    "user_id": user_id
+                })
+    except WebSocketDisconnect:
+        await collaboration_manager.disconnect(session_id, websocket)
+
+@app.post("/sessions/create")
+async def create_session(user_id: str):
+    session_id = f"session_{len(session_manager.sessions) + 1}"
+    session = await session_manager.create_session(session_id, user_id)
+    return session.to_dict()
+
+@app.post("/review")
+async def review_code(code: str, language: str) -> Dict[str, Any]:
+    try:
+        review_results = code_reviewer.review_code(code, language)
+        return {"status": "success", "review": review_results}
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+@app.post("/generate-tests")
+async def generate_tests(code: str, language: str, test_type: str = 'unit') -> Dict[str, str]:
+    try:
+        tests = test_generator.generate_tests(code, language, test_type)
+        return {"status": "success", "tests": tests}
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+@app.post("/projects/create")
+async def create_project(
+    name: str,
+    language: str,
+    framework: str,
+    initial_description: str
+) -> Dict[str, Any]:
+    project_id = f"proj_{int(time.time())}"
+    project = ProjectState(
+        project_id=project_id,
+        name=name,
+        language=language,
+        framework=framework,
+        status="active",
+        completion_percentage=0.0,
+        last_modified=datetime.now(),
+        code_snippets={},
+        dependencies=[]
+    )
+    
+    if model.project_tracker.create_project(project):
+        initial_code = model.generate_code(initial_description, language, framework)
+        project.code_snippets["initial"] = initial_code
+        model.project_tracker.update_project(
+            project_id,
+            {"code_snippets": json.dumps(project.code_snippets)}
+        )
+        return {"status": "success", "project_id": project_id, "code": initial_code}
+    
+    raise HTTPException(status_code=500, detail="Failed to create project")
+
+@app.post("/projects/{project_id}/continue")
+async def continue_project(
+    project_id: str,
+    feature_description: str
+) -> Dict[str, Any]:
+    try:
+        new_code = model.continue_project(project_id, feature_description)
+        return {"status": "success", "code": new_code}
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))

cogenbai/cli/main.py

@@ -0,0 +1,67 @@
+import click
+from ..core.model import CogenBAI
+from ..languages.generator import LanguageGenerator
+from ..config import CogenConfig
+
+@click.group()
+def cli():
+    """COGENBAI Command Line Interface"""
+    pass
+
+@cli.command()
+@click.argument('prompt')
+@click.option('--language', '-l', required=True, help='Target programming language')
+@click.option('--framework', '-f', help='Framework to use')
+def generate(prompt: str, language: str, framework: str = None):
+    """Generate code from a prompt"""
+    model = CogenBAI()
+    result = model.generate_code(prompt, language)
+    click.echo(result)
+
+@cli.command()
+def list_languages():
+    """List supported programming languages"""
+    generator = LanguageGenerator()
+    for lang, config in generator.language_configs.items():
+        click.echo(f"\n{lang}:")
+        click.echo(f"  Frameworks: {', '.join(config['frameworks'])}")
+        click.echo(f"  Package Manager: {config['package_manager']}")
+
+@cli.command()
+@click.argument('project_name')
+@click.option('--template', '-t', default='python_project', help='Project template to use')
+@click.option('--description', '-d', default='A new project', help='Project description')
+def scaffold(project_name: str, template: str, description: str):
+    """Generate a new project scaffold"""
+    from ..templates.registry import TemplateRegistry
+    registry = TemplateRegistry()
+    template_data = registry.get_template('scaffolds', template)
+    if not template_data:
+        click.echo(f"Template {template} not found")
+        return
+    
+    # Create project structure
+    import os
+    import json
+    structure = json.loads(template_data)['structure']
+    base_path = os.path.join(os.getcwd(), project_name)
+    
+    for path, content in _walk_structure(structure):
+        full_path = os.path.join(base_path, path)
+        os.makedirs(os.path.dirname(full_path), exist_ok=True)
+        
+        if isinstance(content, str):
+            with open(full_path, 'w') as f:
+                f.write(content.replace('${project_name}', project_name)
+                               .replace('${project_description}', description))
+
+def _walk_structure(structure, parent=""):
+    for name, content in structure.items():
+        path = os.path.join(parent, name)
+        if isinstance(content, dict):
+            yield from _walk_structure(content, path)
+        else:
+            yield path, content
+
+if __name__ == '__main__':
+    cli()

cogenbai/collaboration/session.py

@@ -0,0 +1,48 @@
+from typing import Dict, Set, Optional
+from dataclasses import dataclass, field
+from datetime import datetime
+import asyncio
+import json
+
+@dataclass
+class CodeSession:
+    id: str
+    code: str = ""
+    language: str = "python"
+    participants: Set[str] = field(default_factory=set)
+    created_at: datetime = field(default_factory=datetime.now)
+    
+    def to_dict(self) -> dict:
+        return {
+            "id": self.id,
+            "code": self.code,
+            "language": self.language,
+            "participants": list(self.participants),
+            "created_at": self.created_at.isoformat()
+        }
+
+class SessionManager:
+    def __init__(self):
+        self.sessions: Dict[str, CodeSession] = {}
+        self.user_connections: Dict[str, Set[str]] = {}
+        
+    async def create_session(self, session_id: str, creator: str) -> CodeSession:
+        session = CodeSession(id=session_id)
+        session.participants.add(creator)
+        self.sessions[session_id] = session
+        return session
+    
+    async def join_session(self, session_id: str, user_id: str) -> Optional[CodeSession]:
+        if session := self.sessions.get(session_id):
+            session.participants.add(user_id)
+            if user_id not in self.user_connections:
+                self.user_connections[user_id] = set()
+            self.user_connections[user_id].add(session_id)
+            return session
+        return None
+    
+    async def update_code(self, session_id: str, code: str) -> bool:
+        if session := self.sessions.get(session_id):
+            session.code = code
+            return True
+        return False

cogenbai/collaboration/websocket.py

@@ -0,0 +1,24 @@
+from fastapi import WebSocket, WebSocketDisconnect
+from typing import Dict, Set
+import json
+import asyncio
+
+class CollaborationManager:
+    def __init__(self):
+        self.active_connections: Dict[str, Set[WebSocket]] = {}
+        
+    async def connect(self, session_id: str, websocket: WebSocket):
+        await websocket.accept()
+        if session_id not in self.active_connections:
+            self.active_connections[session_id] = set()
+        self.active_connections[session_id].add(websocket)
+        
+    async def disconnect(self, session_id: str, websocket: WebSocket):
+        self.active_connections[session_id].remove(websocket)
+        
+    async def broadcast(self, session_id: str, message: dict):
+        if session_id in self.active_connections:
+            for connection in self.active_connections[session_id]:
+                await connection.send_json(message)
+
+collaboration_manager = CollaborationManager()

cogenbai/config.py

@@ -0,0 +1,84 @@
+from dataclasses import dataclass, field
+from typing import Dict, Any, List
+import json
+import os
+
+@dataclass
+class CogenConfig:
+    # Model settings
+    model_name: str = "codegen-16B-multi"
+    max_length: int = 2048
+    temperature: float = 0.8
+    top_p: float = 0.95
+    
+    # Language settings
+    default_language: str = "python"
+    supported_languages: List[str] = field(default_factory=lambda: [
+        "python",
+        "javascript",
+        "typescript",
+        "java",
+        "rust",
+        "go",
+        "cpp",
+        "csharp",
+        "php",
+        "ruby",
+        "kotlin",
+        "swift",
+        "dart"  # Added dart
+    ])
+    
+    code_style: Dict[str, str] = field(default_factory=lambda: {
+        "python": "black",
+        "javascript": "prettier",
+        "typescript": "prettier",
+        "java": "google",
+        "rust": "rustfmt",
+        "go": "gofmt",
+        "cpp": "clang-format",
+        "csharp": "dotnet-format",
+        "php": "php-cs-fixer",
+        "ruby": "rubocop",
+        "kotlin": "ktlint",
+        "swift": "swiftformat",
+        "dart": "dart format"  # Added dart formatter
+    })
+    
+    language_extensions: Dict[str, List[str]] = field(default_factory=lambda: {
+        "python": [".py", ".pyi", ".pyx"],
+        "javascript": [".js", ".jsx", ".mjs"],
+        "typescript": [".ts", ".tsx"],
+        "java": [".java"],
+        "rust": [".rs"],
+        "go": [".go"],
+        "cpp": [".cpp", ".hpp", ".cc", ".h"],
+        "csharp": [".cs"],
+        "php": [".php"],
+        "ruby": [".rb"],
+        "kotlin": [".kt"],
+        "swift": [".swift"],
+        "dart": [".dart"]  # Added dart extension
+    })
+    
+    # Generation settings
+    add_comments: bool = True
+    add_type_hints: bool = True
+    add_docstrings: bool = True
+    
+    # Performance settings
+    use_gpu: bool = True
+    batch_size: int = 1
+    num_workers: int = 4
+    
+    @classmethod
+    def load(cls, config_path: str) -> 'CogenConfig':
+        if os.path.exists(config_path):
+            with open(config_path, 'r') as f:
+                config_dict = json.load(f)
+            return cls(**config_dict)
+        return cls()
+    
+    def save(self, config_path: str):
+        with open(config_path, 'w') as f:
+            json.dump(self.__dict__, f, indent=2)

cogenbai/core/model.py

@@ -0,0 +1,179 @@
+import torch
+from torch import nn
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from typing import Optional, Dict, Any
+from datetime import datetime
+from ..languages.generator import LanguageGenerator
+
+class CogenBAI(nn.Module):
+    """
+    CogenBAI: Advanced Code Generation Model
+    
+    Created by Algo Science Academy
+    Lead Developer: Shahrear Hossain Shawon
+    Organization: Algo Science Academy
+    Academic Background: International Islamic University Chittagong
+    
+    This model is designed to generate high-quality code across multiple programming
+    languages with support for various frameworks and coding patterns. It represents
+    a significant advancement in AI-assisted software development, combining modern
+    language support with intelligent code generation capabilities.
+    
+    Copyright (c) 2024 Algo Science Academy
+    All rights reserved.
+    """
+
+    # Model metadata
+    __author__ = "Shahrear Hossain Shawon"
+    __organization__ = "Algo Science Academy"
+    __version__ = "1.0.0"
+    __license__ = "Proprietary"
+    __copyright__ = f"Copyright (c) {datetime.now().year} Algo Science Academy"
+    __contact__ = {
+        "organization": "Algo Science Academy",
+        "developer": "Shahrear Hossain Shawon",
+    }
+
+    def __init__(self, model_name: str = "codegen-16B-multi", device: str = "cuda"):
+        """
+        Initialize the CogenBAI model.
+        
+        Developed by Algo Science Academy under the leadership of
+        Shahrear Hossain Shawon from International Islamic University Chittagong.
+        """
+        super().__init__()
+        self.device = "cuda" if torch.cuda.is_available() and device == "cuda" else "cpu"
+        self.tokenizer = AutoTokenizer.from_pretrained(model_name)
+        self.model = AutoModelForCausalLM.from_pretrained(model_name).to(self.device)
+        self.lang_generator = LanguageGenerator()
+        self.project_tracker = ProjectTracker()
+        from ..languages.modern_frameworks import ModernFrameworkSupport
+        self.modern_frameworks = ModernFrameworkSupport()
+        
+    @classmethod
+    def get_model_info(cls) -> Dict[str, Any]:
+        """
+        Get information about the model and its creators.
+        """
+        return {
+            "model_name": "CogenBAI",
+            "version": cls.__version__,
+            "author": cls.__author__,
+            "organization": cls.__organization__,
+            "institution": cls.__contact__["institution"],
+            "license": cls.__license__,
+            "copyright": cls.__copyright__,
+            "contact": cls.__contact__
+        }
+
+    def generate_code(self, prompt: str, language: str, 
+                     framework: Optional[str] = None,
+                     max_length: int = 1024,
+                     temperature: float = 0.7,
+                     top_p: float = 0.95) -> str:
+        """
+        Generate code based on the given prompt and parameters.
+        
+        Args:
+            prompt (str): The coding task description
+            language (str): Target programming language
+            framework (Optional[str]): Specific framework to use
+            max_length (int): Maximum length of generated code
+            temperature (float): Sampling temperature
+            top_p (float): Nucleus sampling parameter
+            
+        Returns:
+            str: Generated code
+        """
+        # Validate language and framework
+        lang_config = self.lang_generator.get_language_config(language)
+        if not lang_config:
+            raise ValueError(f"Unsupported language: {language}")
+        
+        if framework and framework not in lang_config["frameworks"]:
+            raise ValueError(f"Unsupported framework {framework} for {language}")
+        
+        # Prepare prompt with language and framework context
+        context = f"Generate {language} code"
+        if framework:
+            context += f" using {framework}"
+        formatted_prompt = f"{context}:\n{prompt}\n\nSolution:\n"
+        
+        # Generate code
+        inputs = self.tokenizer(formatted_prompt, return_tensors="pt").to(self.device)
+        outputs = self.model.generate(
+            inputs.input_ids,
+            max_length=max_length,
+            temperature=temperature,
+            top_p=top_p,
+            do_sample=True,
+            pad_token_id=self.tokenizer.eos_token_id,
+            num_return_sequences=1
+        )
+        
+        generated_code = self.tokenizer.decode(outputs[0], skip_special_tokens=True)
+        return self._format_code(generated_code, language)
+    
+    def continue_project(self, project_id: str, new_feature_description: str) -> str:
+        """Continue development of an existing project."""
+        project = self.project_tracker.get_project(project_id)
+        if not project:
+            raise ValueError(f"Project {project_id} not found")
+
+        # Generate context from existing code
+        context = self._build_project_context(project)
+        
+        # Generate new code
+        new_code = self.generate_code(
+            prompt=f"{context}\n\nAdd feature: {new_feature_description}",
+            language=project.language,
+            framework=project.framework
+        )
+
+        # Update project state
+        project.code_snippets[new_feature_description] = new_code
+        project.last_modified = datetime.now()
+        self.project_tracker.update_project(project_id, {
+            "code_snippets": json.dumps(project.code_snippets),
+            "last_modified": project.last_modified.isoformat()
+        })
+
+        return new_code
+
+    def generate_deployment_config(self, project_id: str, platform: str) -> Dict[str, Any]:
+        """Generate deployment configuration for modern frameworks."""
+        project = self.project_tracker.get_project(project_id)
+        if not project:
+            raise ValueError(f"Project {project_id} not found")
+
+        try:
+            deploy_config = self.modern_frameworks.get_deployment_config(
+                project.framework, platform
+            )
+            return deploy_config
+        except ValueError as e:
+            raise ValueError(f"Deployment configuration failed: {str(e)}")
+
+    def _build_project_context(self, project: ProjectState) -> str:
+        """Build context from existing project code."""
+        context = f"Project: {project.name}\nLanguage: {project.language}\nFramework: {project.framework}\n\n"
+        context += "Existing code:\n"
+        for feature, code in project.code_snippets.items():
+            context += f"\n# Feature: {feature}\n{code}\n"
+        return context
+
+    def _format_code(self, code: str, language: str) -> str:
+        """Format the generated code according to language standards."""
+        # Remove the prompt from the generated code
+        if "Solution:" in code:
+            code = code.split("Solution:")[-1].strip()
+        
+        # Add language-specific formatting
+        if language == "python":
+            import black
+            try:
+                return black.format_str(code, mode=black.FileMode())
+            except:
+                return code
+                
+        return code

cogenbai/debug/analyzer.py

@@ -0,0 +1,23 @@
+import ast
+from typing import List, Dict
+
+class CodeAnalyzer:
+    def __init__(self):
+        self.issues = []
+        
+    def analyze_python(self, code: str) -> List[Dict]:
+        try:
+            tree = ast.parse(code)
+            return self._analyze_ast(tree)
+        except SyntaxError as e:
+            return [{"type": "syntax_error", "message": str(e)}]
+            
+    def _analyze_ast(self, tree: ast.AST) -> List[Dict]:
+        issues = []
+        for node in ast.walk(tree):
+            if isinstance(node, ast.Try):
+                issues.append({
+                    "type": "suggestion",
+                    "message": "Consider adding specific exception handlers"
+                })
+        return issues

cogenbai/languages/generator.py

@@ -0,0 +1,126 @@
+from typing import Dict, Optional
+
+class LanguageGenerator:
+    def __init__(self):
+        self.language_configs: Dict[str, dict] = {
+            "python": {
+                "frameworks": ["django", "flask", "fastapi", "pyramid", "aiohttp", "tornado"],
+                "package_manager": "pip/poetry/conda",
+                "file_extension": ".py",
+                "testing_frameworks": ["pytest", "unittest", "nose"],
+                "doc_format": "docstring",
+            },
+            "javascript": {
+                "frameworks": [
+                    "react", "vue", "angular", "next.js", "nuxt.js", "express",
+                    "astro", "sveltekit", "remix", "solid", "qwik"
+                ],
+                "package_manager": "npm/yarn/pnpm",
+                "file_extension": ".js",
+                "testing_frameworks": ["jest", "vitest", "cypress", "playwright"],
+                "doc_format": "jsdoc",
+                "bundlers": ["vite", "webpack", "rollup", "esbuild", "turbopack"]
+            },
+            "typescript": {
+                "frameworks": [
+                    "react", "vue", "angular", "next.js", "nest.js",
+                    "astro", "sveltekit", "remix", "solid", "qwik"
+                ],
+                "package_manager": "npm/yarn/pnpm",
+                "file_extension": ".ts",
+                "testing_frameworks": ["jest", "vitest", "cypress", "playwright"],
+                "doc_format": "tsdoc",
+                "bundlers": ["vite", "webpack", "rollup", "esbuild", "turbopack"]
+            },
+            "rust": {
+                "frameworks": ["actix", "rocket", "warp", "yew"],
+                "package_manager": "cargo",
+                "file_extension": ".rs",
+                "testing_frameworks": ["cargo test"],
+                "doc_format": "rustdoc",
+            },
+            "go": {
+                "frameworks": ["gin", "echo", "fiber", "buffalo"],
+                "package_manager": "go mod",
+                "file_extension": ".go",
+                "testing_frameworks": ["testing"],
+                "doc_format": "godoc",
+            },
+            "java": {
+                "frameworks": ["spring", "quarkus", "micronaut", "jakarta ee"],
+                "package_manager": "maven/gradle",
+                "file_extension": ".java",
+                "testing_frameworks": ["junit", "testng"],
+                "doc_format": "javadoc",
+            },
+            "kotlin": {
+                "frameworks": ["spring", "ktor", "compose"],
+                "package_manager": "maven/gradle",
+                "file_extension": ".kt",
+                "testing_frameworks": ["junit", "kotlintest"],
+                "doc_format": "kdoc",
+            },
+            "cpp": {
+                "frameworks": ["qt", "boost", "opencv", "llvm"],
+                "package_manager": "vcpkg/conan/cmake",
+                "file_extension": ".cpp",
+                "testing_frameworks": ["gtest", "catch2", "doctest"],
+                "doc_format": "doxygen",
+                "ide_support": ["visual-studio", "clion", "qt-creator"]
+            },
+            "dart": {
+                "frameworks": ["flutter", "shelf", "aqueduct"],
+                "package_manager": "pub",
+                "file_extension": ".dart",
+                "testing_frameworks": ["test", "flutter_test"],
+                "doc_format": "dartdoc",
+                "ide_support": ["android-studio", "vscode"]
+            },
+            "swift": {
+                "frameworks": ["swiftui", "vapor", "perfect"],
+                "package_manager": "swift-package-manager/cocoapods",
+                "file_extension": ".swift",
+                "testing_frameworks": ["xctest"],
+                "doc_format": "markdown",
+                "ide_support": ["xcode"]
+            },
+            "matlab": {
+                "frameworks": ["simulink", "app-designer"],
+                "package_manager": "matlab-package-installer",
+                "file_extension": ".m",
+                "testing_frameworks": ["matlab.unittest"],
+                "doc_format": "matlab-doc",
+                "ide_support": ["matlab-ide"]
+            },
+            "bash": {
+                "frameworks": ["bash-it", "oh-my-bash"],
+                "package_manager": "apt/yum/brew",
+                "file_extension": ".sh",
+                "testing_frameworks": ["bats", "shunit2"],
+                "doc_format": "man-pages",
+                "ide_support": ["vscode", "bash-ide"]
+            }
+        }
+        
+    def get_language_config(self, language: str) -> Optional[dict]:
+        return self.language_configs.get(language.lower())
+    
+    def generate_boilerplate(self, language: str, framework: str) -> str:
+        config = self.get_language_config(language)
+        if not config or framework not in config["frameworks"]:
+            raise ValueError(f"Unsupported language or framework: {language}/{framework}")
+            
+        # Add framework-specific boilerplate generation here
+        return f"// Generated {framework} boilerplate for {language}"
+    
+    def generate_hello_world(self, language: str) -> str:
+        templates = {
+            "python": 'print("Hello, World!")',
+            "javascript": 'console.log("Hello, World!");',
+            "typescript": 'console.log("Hello, World!");',
+            "rust": 'fn main() {\n    println!("Hello, World!");\n}',
+            "go": 'package main\n\nfunc main() {\n    println("Hello, World!")\n}',
+            "java": 'public class Main {\n    public static void main(String[] args) {\n        System.out.println("Hello, World!");\n    }\n}',
+            "kotlin": 'fun main() {\n    println("Hello, World!")\n}'
+        }
+        return templates.get(language.lower(), "// Language not supported")

cogenbai/languages/modern_frameworks.py

@@ -0,0 +1,72 @@
+from typing import Dict, Optional
+
+class ModernFrameworkSupport:
+    def __init__(self):
+        self.framework_configs = {
+            "astro": {
+                "package_manager": "npm/pnpm",
+                "setup_command": "npm create astro@latest",
+                "build_command": "npm run build",
+                "dev_command": "npm run dev",
+                "testing": ["vitest", "playwright"],
+                "deployment": ["vercel", "netlify", "cloudflare"]
+            },
+            "sveltekit": {
+                "package_manager": "npm/pnpm",
+                "setup_command": "npm create svelte@latest",
+                "build_command": "npm run build",
+                "dev_command": "npm run dev",
+                "testing": ["vitest", "playwright"],
+                "deployment": ["vercel", "netlify"]
+            },
+            "remix": {
+                "package_manager": "npm/pnpm",
+                "setup_command": "npx create-remix@latest",
+                "build_command": "npm run build",
+                "dev_command": "npm run dev",
+                "testing": ["vitest", "cypress"],
+                "deployment": ["vercel", "fly.io"]
+            },
+            "nextjs": {
+                "package_manager": "npm/pnpm",
+                "setup_command": "npx create-next-app@latest",
+                "build_command": "npm run build",
+                "dev_command": "npm run dev",
+                "testing": ["jest", "cypress"],
+                "deployment": ["vercel", "netlify"]
+            }
+        }
+        
+    def get_deployment_config(self, framework: str, platform: str) -> Dict:
+        if framework not in self.framework_configs:
+            raise ValueError(f"Unsupported framework: {framework}")
+            
+        if platform not in self.framework_configs[framework]["deployment"]:
+            raise ValueError(f"Unsupported deployment platform: {platform}")
+            
+        return {
+            "platform": platform,
+            "framework": framework,
+            "config": self._get_platform_config(framework, platform)
+        }
+    
+    def _get_platform_config(self, framework: str, platform: str) -> Dict:
+        configs = {
+            "vercel": {
+                "file": "vercel.json",
+                "content": {
+                    "buildCommand": self.framework_configs[framework]["build_command"],
+                    "devCommand": self.framework_configs[framework]["dev_command"],
+                    "framework": framework
+                }
+            },
+            "netlify": {
+                "file": "netlify.toml",
+                "content": f"""
+[build]
+command = "{self.framework_configs[framework]['build_command']}"
+publish = "dist"
+"""
+            }
+        }
+        return configs.get(platform, {})

cogenbai/optimization/optimizer.py

@@ -0,0 +1,59 @@
+from typing import List, Dict, Any
+import ast
+import autopep8
+import black
+from yapf.yapflib.yapf_api import FormatCode
+
+class CodeOptimizer:
+    def __init__(self):
+        self.formatters = {
+            'python': self._optimize_python,
+            'javascript': self._optimize_javascript
+        }
+
+    def optimize(self, code: str, language: str) -> str:
+        optimizer = self.formatters.get(language.lower())
+        if not optimizer:
+            return code
+        return optimizer(code)
+
+    def _optimize_python(self, code: str) -> str:
+        # First pass: Basic PEP 8 formatting
+        code = autopep8.fix_code(code)
+        
+        try:
+            # Second pass: Black formatting
+            code = black.format_str(code, mode=black.FileMode())
+        except:
+            pass
+
+        try:
+            # Third pass: YAPF formatting
+            code, _ = FormatCode(code)
+        except:
+            pass
+
+        return code
+
+    def _optimize_javascript(self, code: str) -> str:
+        # Add JavaScript optimization logic here
+        return code
+
+    def analyze_complexity(self, code: str) -> Dict[str, Any]:
+        try:
+            tree = ast.parse(code)
+            return {
+                'cyclomatic_complexity': self._calculate_complexity(tree),
+                'line_count': len(code.splitlines()),
+                'function_count': len([node for node in ast.walk(tree) 
+                                    if isinstance(node, ast.FunctionDef)])
+            }
+        except:
+            return {}
+
+    def _calculate_complexity(self, tree: ast.AST) -> int:
+        complexity = 1
+        for node in ast.walk(tree):
+            if isinstance(node, (ast.If, ast.While, ast.For, ast.ExceptHandler)):
+                complexity += 1
+        return complexity

cogenbai/review/analyzer.py

@@ -0,0 +1,88 @@
+from typing import List, Dict, Any
+import ast
+import re
+
+class CodeReviewAnalyzer:
+    def __init__(self):
+        self.metrics = {
+            'complexity': self._analyze_complexity,
+            'naming': self._analyze_naming,
+            'documentation': self._analyze_documentation,
+            'security': self._analyze_security
+        }
+
+    def review_code(self, code: str, language: str) -> Dict[str, Any]:
+        results = {}
+        for metric_name, analyzer in self.metrics.items():
+            results[metric_name] = analyzer(code, language)
+        return results
+
+    def _analyze_complexity(self, code: str, language: str) -> Dict[str, Any]:
+        if language == 'python':
+            tree = ast.parse(code)
+            return {
+                'cyclomatic_complexity': self._count_branches(tree),
+                'cognitive_complexity': self._analyze_cognitive_complexity(tree)
+            }
+        return {}
+
+    def _analyze_naming(self, code: str, language: str) -> Dict[str, List[str]]:
+        issues = []
+        if language == 'python':
+            tree = ast.parse(code)
+            for node in ast.walk(tree):
+                if isinstance(node, ast.Name):
+                    if not self._is_valid_name(node.id):
+                        issues.append(f"Invalid name: {node.id}")
+        return {'issues': issues}
+
+    def _analyze_documentation(self, code: str, language: str) -> Dict[str, Any]:
+        doc_ratio = len(re.findall(r'"""[\s\S]*?"""|\'\'\'[\s\S]*?\'\'\'', code)) / max(1, len(code.splitlines()))
+        return {
+            'documentation_ratio': doc_ratio,
+            'has_module_docstring': code.lstrip().startswith('"""') or code.lstrip().startswith("'''")
+        }
+
+    def _analyze_security(self, code: str, language: str) -> Dict[str, List[str]]:
+        vulnerabilities = []
+        dangerous_patterns = {
+            'python': [
+                (r'eval\(', 'Dangerous eval() usage'),
+                (r'exec\(', 'Dangerous exec() usage'),
+                (r'os\.system\(', 'Unsafe system command execution')
+            ]
+        }
+        
+        for pattern, message in dangerous_patterns.get(language, []):
+            if re.search(pattern, code):
+                vulnerabilities.append(message)
+        return {'vulnerabilities': vulnerabilities}
+
+    def _count_branches(self, tree: ast.AST) -> int:
+        count = 0
+        for node in ast.walk(tree):
+            if isinstance(node, (ast.If, ast.For, ast.While, ast.Try)):
+                count += 1
+        return count
+
+    def _analyze_cognitive_complexity(self, tree: ast.AST) -> int:
+        complexity = 0
+        for node in ast.walk(tree):
+            if isinstance(node, (ast.If, ast.While, ast.For)):
+                complexity += 1
+                # Add nesting penalty
+                complexity += self._get_nesting_level(node) * 0.5
+        return int(complexity)
+
+    def _get_nesting_level(self, node: ast.AST, level: int = 0) -> int:
+        parent = getattr(node, 'parent', None)
+        if parent is None:
+            return level
+        return self._get_nesting_level(parent, level + 1)
+
+    def _is_valid_name(self, name: str) -> bool:
+        if len(name) < 2:
+            return False
+        if not name.isidentifier():
+            return False
+        return True

cogenbai/storage/project_tracker.py

@@ -0,0 +1,91 @@
+import sqlite3
+from typing import Dict, List, Optional
+from dataclasses import dataclass
+from datetime import datetime
+import json
+
+@dataclass
+class ProjectState:
+    project_id: str
+    name: str
+    language: str
+    framework: str
+    status: str
+    completion_percentage: float
+    last_modified: datetime
+    code_snippets: Dict[str, str]
+    dependencies: List[str]
+
+class ProjectTracker:
+    def __init__(self, db_path: str = "cogenbai_projects.db"):
+        self.conn = sqlite3.connect(db_path)
+        self._init_db()
+
+    def _init_db(self):
+        cursor = self.conn.cursor()
+        cursor.execute('''
+            CREATE TABLE IF NOT EXISTS projects (
+                project_id TEXT PRIMARY KEY,
+                name TEXT,
+                language TEXT,
+                framework TEXT,
+                status TEXT,
+                completion_percentage REAL,
+                last_modified TIMESTAMP,
+                code_snippets TEXT,
+                dependencies TEXT
+            )
+        ''')
+        self.conn.commit()
+
+    def create_project(self, project: ProjectState) -> bool:
+        try:
+            cursor = self.conn.cursor()
+            cursor.execute('''
+                INSERT INTO projects VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
+            ''', (
+                project.project_id,
+                project.name,
+                project.language,
+                project.framework,
+                project.status,
+                project.completion_percentage,
+                project.last_modified.isoformat(),
+                json.dumps(project.code_snippets),
+                json.dumps(project.dependencies)
+            ))
+            self.conn.commit()
+            return True
+        except Exception as e:
+            print(f"Error creating project: {e}")
+            return False
+
+    def update_project(self, project_id: str, updates: Dict) -> bool:
+        try:
+            cursor = self.conn.cursor()
+            set_clause = ", ".join([f"{k} = ?" for k in updates.keys()])
+            query = f"UPDATE projects SET {set_clause} WHERE project_id = ?"
+            cursor.execute(query, list(updates.values()) + [project_id])
+            self.conn.commit()
+            return True
+        except Exception as e:
+            print(f"Error updating project: {e}")
+            return False
+
+    def get_project(self, project_id: str) -> Optional[ProjectState]:
+        cursor = self.conn.cursor()
+        cursor.execute("SELECT * FROM projects WHERE project_id = ?", (project_id,))
+        row = cursor.fetchone()
+        if row:
+            return ProjectState(
+                project_id=row[0],
+                name=row[1],
+                language=row[2],
+                framework=row[3],
+                status=row[4],
+                completion_percentage=row[5],
+                last_modified=datetime.fromisoformat(row[6]),
+                code_snippets=json.loads(row[7]),
+                dependencies=json.loads(row[8])
+            )
+        return None

cogenbai/templates/code_templates.py

@@ -0,0 +1,61 @@
+from typing import Dict, Optional
+
+class CodeTemplates:
+    """Code templates for various programming patterns and frameworks."""
+    
+    def __init__(self):
+        self.templates: Dict[str, Dict[str, str]] = {
+            "api": {
+                "python-fastapi": self._python_fastapi_template(),
+                "python-flask": self._python_flask_template(),
+                "node-express": self._node_express_template(),
+                "go-gin": self._go_gin_template(),
+                "rust-actix": self._rust_actix_template()
+            },
+            "cli": {
+                "python-click": self._python_click_template(),
+                "rust-clap": self._rust_clap_template(),
+                "go-cobra": self._go_cobra_template()
+            },
+            "gui": {
+                "python-tkinter": self._python_tkinter_template(),
+                "typescript-react": self._typescript_react_template(),
+                "kotlin-compose": self._kotlin_compose_template()
+            }
+        }
+    
+    def get_template(self, category: str, tech_stack: str) -> Optional[str]:
+        """Get a specific template by category and technology stack."""
+        return self.templates.get(category, {}).get(tech_stack)
+    
+    def _python_fastapi_template(self) -> str:
+        return '''
+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+
+app = FastAPI()
+
+@app.get("/")
+async def root():
+    return {"message": "Hello World"}
+
+@app.get("/items/{item_id}")
+async def read_item(item_id: int):
+    return {"item_id": item_id}
+'''
+
+    def _python_flask_template(self) -> str:
+        return '''
+from flask import Flask, jsonify
+
+app = Flask(__name__)
+
+@app.route("/")
+def hello_world():
+    return jsonify({"message": "Hello World"})
+
+if __name__ == "__main__":
+    app.run(debug=True)
+'''
+
+    # Add more template methods for other frameworks...

cogenbai/templates/frameworks/qt_template.py

@@ -0,0 +1,40 @@
+class QtTemplate:
+    @staticmethod
+    def generate_main_window() -> str:
+        return '''
+from PySide6.QtWidgets import QApplication, QMainWindow, QWidget, QVBoxLayout
+import sys
+
+class MainWindow(QMainWindow):
+    def __init__(self):
+        super().__init__()
+        self.setWindowTitle("Qt Application")
+        self.setup_ui()
+
+    def setup_ui(self):
+        central_widget = QWidget()
+        self.setCentralWidget(central_widget)
+        layout = QVBoxLayout(central_widget)
+        # Add your widgets here
+
+if __name__ == '__main__':
+    app = QApplication(sys.argv)
+    window = MainWindow()
+    window.show()
+    sys.exit(app.exec())
+'''
+
+    @staticmethod
+    def generate_widget() -> str:
+        return '''
+from PySide6.QtWidgets import QWidget, QVBoxLayout
+
+class CustomWidget(QWidget):
+    def __init__(self, parent=None):
+        super().__init__(parent)
+        self.setup_ui()
+
+    def setup_ui(self):
+        layout = QVBoxLayout(self)
+        # Add your widget components here
+'''

cogenbai/templates/modern/astro_template.py

@@ -0,0 +1,66 @@
+class AstroTemplate:
+    @staticmethod
+    def generate_page() -> str:
+        return '''---
+import Layout from '../layouts/Layout.astro';
+import Card from '../components/Card.astro';
+
+const title = "Welcome to Astro";
+---
+
+<Layout title={title}>
+    <main>
+        <h1>{title}</h1>
+        <Card
+            href="https://docs.astro.build/"
+            title="Documentation"
+            body="Learn how Astro works and explore the official API docs."
+        />
+    </main>
+</Layout>
+
+<style>
+    main {
+        margin: auto;
+        padding: 1rem;
+        width: 800px;
+        max-width: calc(100% - 2rem);
+        font-size: 20px;
+        line-height: 1.6;
+    }
+</style>
+'''
+
+    @staticmethod
+    def generate_component() -> str:
+        return '''---
+interface Props {
+    title: string;
+    body: string;
+    href: string;
+}
+
+const { href, title, body } = Astro.props;
+---
+
+<div class="card">
+    <a href={href}>
+        <h2>
+            {title}
+            <span>&rarr;</span>
+        </h2>
+        <p>
+            {body}
+        </p>
+    </a>
+</div>
+
+<style>
+    .card {
+        padding: 1rem;
+        background-color: #fff;
+        border-radius: 0.5rem;
+        box-shadow: 0 2px 8px rgba(0,0,0,0.1);
+    }
+</style>
+'''

cogenbai/templates/registry.py

@@ -0,0 +1,34 @@
+from typing import Dict, Optional
+import json
+import os
+
+class TemplateRegistry:
+    def __init__(self):
+        self.templates: Dict[str, Dict] = {}
+        self.template_dir = os.path.join(os.path.dirname(__file__), 'data')
+        self._load_templates()
+
+    def _load_templates(self):
+        if not os.path.exists(self.template_dir):
+            os.makedirs(self.template_dir)
+            return
+
+        for filename in os.listdir(self.template_dir):
+            if filename.endswith('.json'):
+                with open(os.path.join(self.template_dir, filename), 'r') as f:
+                    lang_templates = json.load(f)
+                    self.templates.update(lang_templates)
+
+    def get_template(self, language: str, template_name: str) -> Optional[str]:
+        return self.templates.get(language, {}).get(template_name)
+
+    def add_template(self, language: str, name: str, content: str):
+        if language not in self.templates:
+            self.templates[language] = {}
+        self.templates[language][name] = content
+        self._save_templates(language)
+
+    def _save_templates(self, language: str):
+        filepath = os.path.join(self.template_dir, f"{language}.json")
+        with open(filepath, 'w') as f:
+            json.dump({language: self.templates[language]}, f, indent=2)

cogenbai/templates/scaffolds/python_project.json

@@ -0,0 +1,18 @@
+{
+    "structure": {
+        "src": {
+            "__init__.py": "",
+            "main.py": "def main():\n    pass\n\nif __name__ == '__main__':\n    main()",
+            "config.py": "from dataclasses import dataclass\n\n@dataclass\nclass Config:\n    pass"
+        },
+        "tests": {
+            "__init__.py": "",
+            "test_main.py": "import unittest\n\nclass TestMain(unittest.TestCase):\n    def test_sample(self):\n        self.assertTrue(True)"
+        },
+        "docs": {
+            "README.md": "# ${project_name}\n\n${project_description}"
+        },
+        "requirements.txt": "pytest>=6.0.0\npytest-cov>=2.0.0",
+        "setup.py": "from setuptools import setup, find_packages\n\nsetup(\n    name='${project_name}',\n    version='0.1.0',\n    packages=find_packages()\n)"
+    }
+}

cogenbai/testing/generator.py

@@ -0,0 +1,64 @@
+import ast
+from typing import List, Dict, Any
+import black
+
+class TestGenerator:
+    def __init__(self):
+        self.test_templates = {
+            'python': {
+                'unit': self._generate_python_unit_test,
+                'integration': self._generate_python_integration_test
+            }
+        }
+
+    def generate_tests(self, code: str, language: str, test_type: str = 'unit') -> str:
+        generator = self.test_templates.get(language, {}).get(test_type)
+        if not generator:
+            raise ValueError(f"Unsupported language or test type: {language}/{test_type}")
+        
+        test_code = generator(code)
+        try:
+            return black.format_str(test_code, mode=black.FileMode())
+        except:
+            return test_code
+
+    def _generate_python_unit_test(self, code: str) -> str:
+        tree = ast.parse(code)
+        test_cases = []
+
+        for node in ast.walk(tree):
+            if isinstance(node, ast.FunctionDef):
+                test_cases.append(self._generate_function_test(node))
+
+        return self._format_test_class(test_cases)
+
+    def _generate_function_test(self, func_node: ast.FunctionDef) -> str:
+        args = [arg.arg for arg in func_node.args.args]
+        test_name = f"test_{func_node.name}"
+        
+        test_template = f"""
+    def {test_name}(self):
+        # Arrange
+        {''.join(f'{arg} = None  # TODO: Add test value\n        ' for arg in args)}
+        
+        # Act
+        result = {func_node.name}({', '.join(args)})
+        
+        # Assert
+        self.assertIsNotNone(result)  # TODO: Add specific assertions
+        """
+        return test_template
+
+    def _format_test_class(self, test_cases: List[str]) -> str:
+        return f"""import unittest
+
+class TestGeneratedCode(unittest.TestCase):
+{''.join(test_cases)}
+
+if __name__ == '__main__':
+    unittest.main()
+"""
+
+    def _generate_python_integration_test(self, code: str) -> str:
+        # Similar to unit test but with more complex scenarios
+        return "# TODO: Implement integration tests\n"

cogenbai/voice/synthesizer.py

@@ -0,0 +1,16 @@
+import pyttsx3
+
+class VoiceSynthesizer:
+    def __init__(self):
+        self.engine = pyttsx3.init()
+        
+    def explain_code(self, code, explanation):
+        """Provides voice explanation for code"""
+        self.engine.say(explanation)
+        self.engine.runAndWait()
+        
+    def debug_assist(self, error_message):
+        """Provides voice assistance for debugging"""
+        debug_explanation = f"Debug suggestion: {error_message}"
+        self.engine.say(debug_explanation)
+        self.engine.runAndWait()

config.yaml

@@ -0,0 +1,43 @@
+model:
+  name: cogenbai
+  version: 7.5b
+  base: codellama
+  parameters:
+    temperature: 0.7
+    top_k: 50
+    top_p: 0.9
+    num_ctx: 4096
+    num_threads: 8
+    seed: 42
+
+capabilities:
+  languages:
+    - python
+    - javascript
+    - typescript
+    - java
+    - go
+    - rust
+    - cpp
+    - csharp
+    - php
+    - ruby
+    - kotlin
+    - swift
+    - dart
+
+  frameworks:
+    backend:
+      - django
+      - flask
+      - fastapi
+      - spring
+      - express
+    frontend:
+      - react
+      - vue
+      - angular
+      - svelte
+    mobile:
+      - flutter
+      - react-native

docker-compose.yml

@@ -0,0 +1,34 @@
+version: '3.8'
+
+services:
+  api:
+    build: .
+    ports:
+      - "8000:8000"
+    environment:
+      - CUDA_VISIBLE_DEVICES=0
+    volumes:
+      - ./models:/app/models
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: 1
+              capabilities: [gpu]
+
+  prometheus:
+    image: prom/prometheus
+    ports:
+      - "9090:9090"
+    volumes:
+      - ./prometheus.yml:/etc/prometheus/prometheus.yml
+
+  grafana:
+    image: grafana/grafana
+    ports:
+      - "3000:3000"
+    environment:
+      - GF_SECURITY_ADMIN_PASSWORD=admin
+    depends_on:
+      - prometheus

requirements.txt

@@ -0,0 +1,12 @@
+torch>=2.0.0
+transformers>=4.30.0
+fastapi>=0.100.0
+pydantic>=2.0.0
+uvicorn>=0.22.0
+python-dotenv>=1.0.0
+prometheus-client>=0.17.0
+pytest>=7.0.0
+black>=23.0.0
+isort>=5.12.0
+mypy>=1.0.0
+pytest-cov>=4.0.0

setup.py

@@ -0,0 +1,59 @@
+from setuptools import setup, find_packages
+import subprocess
+import yaml
+import os
+
+def setup_cogenbai():
+    """Setup COGENBAI model"""
+    print("Setting up COGENBAI...")
+    
+    # Create model
+    subprocess.run(["ollama", "create", "cogenbai:7.5b", "-f", "Modelfile"])
+    
+    # Load configuration
+    with open("config.yaml", "r") as f:
+        config = yaml.safe_load(f)
+    
+    print(f"\nCOGENBAI {config['model']['version']} setup complete!")
+    print("\nTest the model with:")
+    print("ollama run cogenbai:7.5b \"Write a hello world in Python\"")
+
+if __name__ == "__main__":
+    setup_cogenbai()
+
+setup(
+    name="cogenbai",
+    version="1.0.0",
+    packages=find_packages(),
+    install_requires=[
+        "torch>=1.9.0",
+        "transformers>=4.11.0",
+        "pyttsx3>=2.90",
+        "fastapi>=0.68.0",
+        "uvicorn>=0.15.0",
+        "click>=8.0.0",
+        "autopep8>=1.5.7",
+        "black>=21.5b2",
+        "yapf>=0.31.0",
+        "websockets>=10.0",
+        "python-socketio>=5.5.0"
+    ],
+    entry_points={
+        'console_scripts': [
+            'cogenbai=cogenbai.cli.main:cli',
+        ],
+    },
+    author="Shahrear Hossain Shawon",
+    author_email="contact@algoscienceacademy.com",
+    description="Advanced AI model for coding experts by Algo Science Academy",
+    long_description=open('README.md').read(),
+    long_description_content_type="text/markdown",
+    url="https://algoscienceacademy.com/cogenbai",
+    classifiers=[
+        "Development Status :: 5 - Production/Stable",
+        "Intended Audience :: Developers",
+        "License :: Other/Proprietary License",
+        "Programming Language :: Python :: 3.8",
+    ],
+    python_requires=">=3.8",
+)

tests/integration/test_workflow.py

@@ -0,0 +1,28 @@
+import unittest
+from cogenbai import CogenBAI, CodeAnalyzer, LanguageGenerator
+
+class TestIntegrationWorkflow(unittest.TestCase):
+    def setUp(self):
+        self.model = CogenBAI()
+        self.analyzer = CodeAnalyzer()
+        self.generator = LanguageGenerator()
+
+    def test_complete_workflow(self):
+        # Generate code
+        code = self.model.generate_code(
+            "Create a function to sort a list",
+            "python"
+        )
+        self.assertIsNotNone(code)
+
+        # Analyze generated code
+        issues = self.analyzer.analyze_python(code)
+        self.assertIsInstance(issues, list)
+
+        # Check language support
+        config = self.generator.get_language_config("python")
+        self.assertIsNotNone(config)
+        self.assertIn("frameworks", config)
+
+if __name__ == '__main__':
+    unittest.main()

tests/test_model.py

@@ -0,0 +1,31 @@
+import pytest
+from cogenbai.core.model import CogenBAI
+
+def test_model_initialization():
+    model = CogenBAI()
+    assert model is not None
+    assert model.device in ["cuda", "cpu"]
+
+def test_code_generation():
+    model = CogenBAI()
+    prompt = "def calculate_fibonacci(n):"
+    result = model.generate_code(prompt)
+    assert isinstance(result, str)
+    assert len(result) > 0
+
+import unittest
+from cogenbai.core.model import CogenBAI
+
+class TestCogenBAI(unittest.TestCase):
+    def setUp(self):
+        self.model = CogenBAI()
+        
+    def test_generate_code(self):
+        prompt = "Create a function that adds two numbers"
+        language = "python"
+        result = self.model.generate_code(prompt, language)
+        self.assertIsInstance(result, str)
+        self.assertGreater(len(result), 0)
+
+if __name__ == '__main__':
+    unittest.main()