Developed an API using FastAPI that gets the data and stores the data in MongoDB. The entire process runs in containers using Docker
Steps 1.) Developed an API that is used to get the details from a Public API to retrieve the data. The Public API used is "https://randomuser.me/api/"
2.) Once the details is fetched, we will store the details in MongoDB.
3.) Run the application inside container using Docker
Installed Modules
1.) pymongo ==> Mongo DB Driver for Python
2.) fastapi ==> API is developed using FastAPI
3.) requests ==> In order to get the data from the Public API
4.) uvicorn ==> To run the fastapi on the Uvicorn server
All the modules are present in the "Requirements.txt"
Dockerfile and DockerCompose files are present in the Code Repository
Dockerfile
FROM python:latest ==> Fastapi is developed in python. So using Python as Base Image
WORKDIR /code ==> To make "code" as a directory inside container as working directory
COPY ./requirements.txt /code/requirements.txt ==> copying the requirements file from local to container working directory
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt ==> Installing all the modules present in requirements.txt in docker container
COPY ./app /code/app ==> copying all the source code from local to docker container file system
CMD ["uvicorn","app.sourcecode:app","--host","0.0.0.0","--port","8000"] ==> Running the fastAPI server using CMD with options
Docker Commands
**docker build -t fastapi .** ==> fastapi == Image name, . == Dockerfile to build an image
Docker Compose
version: '3'
services:
mongodb:
image: mongo
ports:
- 27017:27017
volumes:
- mongovolume:/var/lib/mongodb/data
fastcontainer:
image: fastapi
ports:
- 8000:8000
volumes:
mongovolume: {}
mongodb and fastcontainer are the names of the containers
mongo,fastapi are the image names
ports to bind the localhost with docker container ports
volumes to persist the data, so that data is persisted even the container got deleted
Docker Command
docker-compose -f dockercompose.yaml up ==> To start the containers present inside the dockercompose.yaml file
docker-compose -f dockercompose.yaml down ==> To stop the containers present inside the dockercompose.yaml file
docker exec -it container_name bash ==> To run the container in bash mode
docker ps ==> To list the containers
Output of the details is fetched it will be stored in MongoDB. The data is persisted using Docker Volumes
The Data stored in MongoDB
