Setup FastAPI Intelligence Service

server/intelligence-service/README.md

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+# Intelligence Service
+
+This is a FastAPI service for interfacing with LangChain and other machine learning services.
+
+## Table of Contents
+
+- [Installation](#installation)
+- [Usage](#usage)
+- [Project Structure](#project-structure)
+- [Testing](#testing)
+
+## Installation
+
+To set up the project locally, follow these steps:
+
+1. **Install dependencies:**
+    The project uses `poetry` for dependency management. Install the dependencies by running:
+    ```bash
+    poetry install
+    ```
+
+2. **Run the application:**
+    You can start the FastAPI application with Uvicorn:
+    ```bash
+    poetry run uvicorn src.main:app --reload
+    ```
+
+## Usage
+
+After running the application, you can access the FastAPI API documentation at `http://127.0.0.1:8000/docs` or `http://127.0.0.1:8000/redoc`.
+
+## Project Structure
+
+The project is organized as follows:
+```
+intelligence-service/
+├── pyproject.toml     
+├── README.md            
+├── poetry.lock           
+├── .pytest_cache/        
+├── tests/                
+│   ├── __init__.py
+│   └── test_hello.py
+├── src/                  
+│   ├── config.py        
+│   ├── main.py          
+│   └── auth/            
+│       └── router.py    
+└── ...
+```
+## Testing
+
+The project includes a set of unit tests to ensure that the core functionalities work as expected. These tests are located in the `tests/` directory.
+
+### Running Tests
+
+To run all tests, use the following command:
+
+```bash
+poetry run pytest

server/intelligence-service/pyproject.toml

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+[tool.poetry]
+name = "intelligence-service"
+version = "0.1.0"
+description = "A FastAPI service for interfacing with large language models (LLMs) and providing intelligent text-based responses"
+authors = ["milenasrb <[email protected]>"]
+readme = "README.md"
+package-mode = false
+
+[tool.poetry.dependencies]
+python = "^3.12"
+fastapi = "^0.112.0"
+uvicorn = "^0.30.5"
+
+
+[tool.poetry.group.dev.dependencies]
+httpx = "^0.27.0"
+pytest = "^8.3.2"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"

server/intelligence-service/src/auth/router.py

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+from fastapi import APIRouter
+
+router = APIRouter()
+
+
+@router.get("/", response_model=dict, summary="Hello World Endpoint")
+async def hello_world():
+    return {"message": "Hello, World!"}

server/intelligence-service/src/config.py

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+class Settings:
+    APP_NAME: str = "Intelligence Service"
+
+
+settings = Settings()

server/intelligence-service/src/main.py

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+from fastapi import FastAPI
+
+from .auth.router import router
+from .config import settings
+
+app = FastAPI(title=settings.APP_NAME)
+
+app.include_router(router)

server/intelligence-service/tests/test_main.py

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+from fastapi.testclient import TestClient
+from src.main import app
+
+client = TestClient(app)
+
+
+def test_hello_world():
+    response = client.get("/")
+    assert response.status_code == 200
+    assert response.json() == {"message": "Hello, World!"}