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# Backend API – Getting Started
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## 1. Project overview
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The `backend-api` is a small REST API responsible for receiving, storing and delivering notifications.
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It uses:
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- **FastAPI:** Python web framework for building REST APIs.
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- **Uvicorn:** Server used to run the FastAPI application.
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- **SQLite:** Lightweight database for storing notifications.
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- **Pydantic:** Data validation for incoming API requests (included with FastAPI).
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## 2. API endpoints
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The application requires two POST endpoints. POST is used when the application call changes something, GET when it just retrieves information.
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| Method | Endpoint | Description |
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|---|---|---|
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| POST | `/notifications` | Receive and store a notification. |
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| POST | `/notifications/deliver` | Retrieve pending notifications and mark them as delivered. |
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### Receiving notifications
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`POST /notifications`
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Accepts a JSON payload containing the notification information.
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Example request:
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```json
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{
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"title": "New notification",
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"body": "Something happened!",
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"link": "https://example.com",
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"timestamp": 1791626400
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}
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```
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The API validates the payload and saves it into the `notifications` database.
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Each notification should have a `delivered` flag, initially set to `false`.
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### Getting notifications
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`POST /notifications/deliver`
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This endpoint retrieves all notifications where `delivered = false`.
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The application should:
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1. Query the database for undelivered notifications.
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2. Set their `delivered` flag to `true`.
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3. Commit the database transaction.
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4. Return the retrieved notifications as JSON.
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Example response:
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```json
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[
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{
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"id": 1,
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"title": "New notification",
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"body": "Something happened!",
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"link": "https://example.com",
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"timestamp": 1791626400,
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"delivered": true
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}
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]
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```
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If there are no pending notifications, return an empty array.
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**Important:** The database update should happen before returning the notifications. This prevents the same notifications from being delivered again on subsequent requests.
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## 3. Database structure
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For the initial implementation, use SQLite.
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The database will be stored in a local file called `notifications.db`.
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The `notifications` table should contain:
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| Column | Type | Description |
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|---|---|---|
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| `id` | INTEGER | Unique notification identifier (primary key). |
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| `title` | TEXT | Notification title. |
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| `body` | TEXT | Notification content. |
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| `link` | TEXT | Optional URL associated with the notification. |
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| `timestamp` | INTEGER | Unix timestamp of the notification. |
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| `delivered` | BOOLEAN | Indicates whether the notification was delivered. |
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---
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# 4. Minimal working implementation
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The following implementation gives you a baseline for starting the server
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## requirements.txt
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```text
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fastapi
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uvicorn
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```
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## src/main.py
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```python
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from contextlib import asynccontextmanager
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from fastapi import FastAPI
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from pydantic import BaseModel #use this to create the Notification class
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from db_module import initialize_database, get_database #Implement these yourself with SqLite3
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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initialize_database()
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yield
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app = FastAPI(lifespan=lifespan)
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@app.post("/notifications")
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def receive_notification(notification: Notification):
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@app.post("/notifications/deliver")
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def deliver_notifications():
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```
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## 6. Run the application
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Make sure the virtual environment is activated and the dependencies are installed.
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Start the application from the project root:
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```bash
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uvicorn src.main:app --host 0.0.0.0 --port 8100 --reload
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```
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Explanation:
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| Argument | Description |
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|---|---|
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| `src.main:app` | Imports the FastAPI instance called `app` from `src/main.py`. |
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| `--host 0.0.0.0` | Makes the server accessible outside localhost. |
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| `--port 8100` | Port on which the API listens. |
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| `--reload` | Automatically restarts the server when source files change. |
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The `--reload` option should only be used during development.
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## 7. Test the application
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FastAPI automatically generates interactive API documentation.
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Open:
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http://localhost:8100/docs
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You can use the Swagger UI to execute both POST endpoints without installing additional tools.
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