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Docker compose mongodb for mac install#
Docker compose mongodb for mac update#
Docker compose mongodb for mac driver#
Docker compose mongodb for mac code#
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Docker compose mongodb for mac install#

Run this command to install the PyMongo package:

Docker compose mongodb for mac driver#

Motor – a MongoDB driver created for asynchronous Python applicationsĭespite these two options, we will be using PyMongo to query and mutate the MongoDB database.

PyMongo – a MongoDB driver created by the MongoDB team for synchronous Python applications.

When it comes to choosing the best database driver for MongoDB in Python, we have two popular options: env file with the environment let’s create a app/config.py file and define the class that inherits the BaseSettings class to make Pydantic load the environment variables.Ĭonnecting to the MongoDB Database Server This approach ensures that the model initializer loads the content of the environment variables file if we do not provide keyword arguments to the defined fields. env file, we will need a model class that inherits the BaseSettings class. To read, load, and validate the environment variables in the. Loading Environment Variables with Pydanticīy default, Pydantic allows us to load environment variables from a configuration file into the Python environment. Make a GET request to with any API testing tool and you should see the message we added to the JSON response.

-port : allows us to bind the socket to a specific port.

-host : allows us to bind the socket to a host.

app: the object returned after evoking FASTAPI().

uvicorn – a high-performance ASGI web server.Uvicorn app.main:app -host localhost -port 8000 -reload Run this command to start the FastAPI server with Uvicorn: Next, create a docker-compose.yml file in the root project and add these configurations to set up the MongoDB database server. Open the integrated terminal in your text editor or IDE (Integrated development environment) and run the command below to create a virtual environment. To begin, let’s create a new directory named fastapi_mongodb to hold the FastAPI project: $ mkdir fastapi_mongodb Nevertheless, the type of IDE or text editor you use to showcase your coding skills and talent doesn’t matter so feel free to use whatever IDE you are comfortable with. That’s exactly the text editor am going to use throughout this tutorial.

Docker compose mongodb for mac code#

Whether you are new to this web development game or you are a veteran player, you may probably be using VS Code (Visual Studio Code) as your default text editor. Before we begin with any configurations, I will assume you already have Docker installed on your computer. The quickest and easiest way to run the MongoDB server on your machine is to use Docker and Docker-compose. It allows you to easily adapt your code to work with popular databases like: Out-of-the-box, FastAPI supports NoSQL and SQL databases, making it a good choice for building microservices. Have Docker and Docker-compose installed on your system.Be comfortable with the basics of Python.Have Python 3.6+ installed on your computer.Prerequisitesīefore you start this tutorial, you should: You can open the MongoDB Compass application to see all the posts you created. You can remove a post from the database by making a DELETE request to /api/posts/:postId. You can also retrieve all the posts from the database or a paginated list of the posts by appending the page and limit parameters to the request URL. You can retrieve a single post from the database by making a GET request to /api/posts/:postId. To edit a post in the database, you need to make a PUT request with the updated data to the FastAPI server. You can add a new post to the database by making a POST request with the required data to the FastAPI server.

Docker compose mongodb for mac update#

We’ll build a CRUD RESTful API with FastAPI to perform create, read, update and delete operations against a MongoDB database. Python, FastAPI, MongoDB CRUD API Overview

Run uvicorn app.main:app -reload to start the FastAPI HTTP server.

Start the MongoDB Docker container with docker-compose up -d.

Run pip install -r requirements.txt to install all the required dependencies.

Mac or Linux OS – source venv/bin/activate.

Windows OS ( Git Bash) – venv/Scripts/activate.bat.

Windows OS ( Command Prompt ) – venv\Scripts\activate.bat.

Alternatively, run this command to manually activate it:

If you are using VS Code, close the current terminal and open a new one to activate the virtual environment.

In the terminal of the root project, run this command to create a new virtual environment.

Change the Git branch to fastapi_mongodb_crud_api.

Docker compose mongodb for mac download#

Download or clone the FastAPI CRUD App from and open the source code in an IDE.FastAPI, and MongoDB CRUD App Source Code.Connecting to the MongoDB Database Server.Loading Environment Variables with Pydantic.Python, FastAPI, MongoDB CRUD API Overview.