Architecture Details for Code Generation Engine (Low-code)
1. Backend Framework:
- Python Framework:
- FastAPI: A modern, fast (high-performance) web framework for building APIs with Python 3.6+ based on standard Python type hints.
- SQLAlchemy: SQL toolkit and Object-Relational Mapping (ORM) library for database management.
- Jinja2: A templating engine for rendering dynamic content.
- Pydantic: Data validation and settings management using Python type annotations.
2. Application Structure:
- Project Root:
- `app/`
- `main.py` (Entry point of the application)
- `models/`
- `models.py` (Database models)
- `schemas/`
- `schemas.py` (Data validation schemas)
- `api/`
- `endpoints/`
- `code_generation.py` (Endpoints related to code generation)
- `core/`
- `config.py` (Configuration settings)
- `dependencies.py` (Common dependencies)
- `services/`
- `code_generator.py` (Logic for code generation)
- `templates/` (Directory for Jinja2 templates)
- `Dockerfile`
- `docker-compose.yml`
- `requirements.txt`
3. Docker-based Application:
#Dockerfile:
```dockerfile
# Use an official Python runtime as a parent image
FROM python:3.9-slim
# Set the working directory in the container
WORKDIR /app
# Copy the current directory contents into the container at /app
COPY . /app
# Install any needed packages specified in requirements.txt
RUN pip install --no-cache-dir -r requirements.txt
# Make port 80 available to the world outside this container
EXPOSE 80
# Define environment variable
ENV NAME CodeGenEngine
# Run app.py when the container launches
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]
```
#docker-compose.yml:
```yaml
version: '3.8'
services:
web:
build: .
ports:
- "80:80"
environment:
- DATABASE_URL=postgresql://user:password@db/codegen
depends_on:
- db
db:
image: postgres:12
environment:
POSTGRES_USER: user
POSTGRES_PASSWORD: password
POSTGRES_DB: codegen
volumes:
- postgres_data:/var/lib/postgresql/data
volumes:
postgres_data:
```
4. Code Generation Engine:
- Template Engine:
- Jinja2: Use templates to define the structure of the generated code.
- Model-Driven Development:
- Pydantic Models: Define the models for data validation and generation logic.
- Code Generation Logic:
- Implement logic in `services/code_generator.py` to translate user configurations into functional code using templates.
5. API Endpoints:
- Define API endpoints in `api/endpoints/code_generation.py` to handle user requests and trigger the code generation process.
6. Sample Endpoint for Code Generation:
```python
from fastapi import APIRouter, Depends
from app.schemas import CodeGenRequest, CodeGenResponse
from app.services.code_generator import generate_code
router = APIRouter()
@router.post("/generate", response_model=CodeGenResponse)
def generate_code_endpoint(request: CodeGenRequest):
code = generate_code(request)
return {"code": code}
```
7. Sample Code Generation Logic:
```python
from jinja2 import Environment, FileSystemLoader
from app.schemas import CodeGenRequest
def generate_code(request: CodeGenRequest) -> str:
env = Environment(loader=FileSystemLoader('app/templates'))
template = env.get_template('template.py.j2')
code = template.render(model=request.model)
return code
```
8. Sample Template (`template.py.j2`):
```jinja
class {{ model.name }}:
def __init__(self{% for field in model.fields %}, {{ field.name }}: {{ field.type }}{% endfor %}):
{% for field in model.fields %}self.{{ field.name }} = {{ field.name }}
{% endfor %}
```
