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https://github.com/devopsinsiders/deletetasktodomicroservice
🗑️ DeleteTaskTodoMicroservice 📋 repository hosts the microservice engineered to manage task deletions within the Todo application. Specialized in task removal, it offers a dedicated endpoint for seamless deletion operations, enhancing the efficiency and organization of task management workflows. 🚀
https://github.com/devopsinsiders/deletetasktodomicroservice
microservice python
Last synced: 1 day ago
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🗑️ DeleteTaskTodoMicroservice 📋 repository hosts the microservice engineered to manage task deletions within the Todo application. Specialized in task removal, it offers a dedicated endpoint for seamless deletion operations, enhancing the efficiency and organization of task management workflows. 🚀
- Host: GitHub
- URL: https://github.com/devopsinsiders/deletetasktodomicroservice
- Owner: devopsinsiders
- Created: 2023-11-10T20:35:28.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2023-12-16T06:52:21.000Z (11 months ago)
- Last Synced: 2024-11-06T12:15:32.564Z (1 day ago)
- Topics: microservice, python
- Language: Python
- Homepage: https://devopsinsiders.com
- Size: 7.81 KB
- Stars: 7
- Watchers: 2
- Forks: 14
- Open Issues: 0
-
Metadata Files:
- Readme: Readme.md
Awesome Lists containing this project
README
Certainly! Here's a README file to help you run the Python application using Docker:
# Running the Python Application with Docker
This guide will walk you through the process of building a Docker image and running a Python application using FastAPI, which interacts with a Microsoft SQL Server database using PyODBC. The application is containerized for easy deployment and scaling.
## Prerequisites
Before getting started, make sure you have the following prerequisites installed on your system:
- [Docker](https://docs.docker.com/get-docker/)
- Docker Compose (usually included with Docker Desktop on Windows and Docker for Mac)
## Step 1: Clone the Repository
Clone the application's source code from your version control system or download it as a zip archive and extract it to your local machine.
```bash
git clone
cd
```
## Step 2: Update Connection String
Edit the `app.py` file to update the `connection_string` variable with the appropriate connection details for your SQL Server database.
## Step 3: Build the Docker Image
To build the Docker image, open a terminal, navigate to the project directory, and run the following command:
```bash
docker build -t my-python-app .
```
Replace `my-python-app` with a suitable name for your Docker image.
## Step 4: Run the Docker Container
After successfully building the Docker image, you can run the application in a Docker container with the following command:
```bash
docker run -p 8000:8000 my-python-app
```
Replace `my-python-app` with the name you provided in step 3.
The `-p 8000:8000` option maps port 8000 on your host machine to the container's port 8000. You can change the host port if needed.
## Step 5: Access the Application
Your Python application is now running in a Docker container. You can access it by opening a web browser or sending HTTP requests to `http://localhost:8000`.
## API Endpoints
- `/tasks`: List all tasks (GET)
- `/tasks/{task_id}`: Retrieve a single task by ID (GET)
- `/tasks`: Create a new task (POST)
- `/tasks/{task_id}`: Update an existing task by ID (PUT)
- `/tasks/{task_id}`: Delete a task by ID (DELETE)
## Cleaning Up
To stop and remove the Docker container, press `Ctrl + C` in the terminal where the container is running. Then, remove the container with:
```bash
docker rm -f
```
Replace `` with the actual container ID, which you can obtain from `docker ps`.
## Conclusion
You've successfully built and run a Python application using Docker. Feel free to make changes to the application, rebuild the Docker image, and deploy it to your preferred environment.