The following ways are specially curated with the help of an API guy (used him to get rid of him 🙊)
- Create a Folder which will hold all of you
Flaskapp configurations and the app itself. -
Prerequisites:
pip install virtualenv - Create a virtual environment
python3 -m venv <folder name>This creates a<folder name>folder inside the directory we are in. - Activate the environment
-
Linux:
source <folder name>/bin/activate -
Windows:
<folder name>\Scripts\activate.bat
-
Linux:
-
Requirements: We need to install
Flaskandgunicornfor the following stepspip install Flaskpip install gunicorn
- We need to make two files named
Procfileandrequirements.txt - Now come the
app.py
from flask import Flask,jsonify,make_response,request
import json
app = Flask(__name__)
@app.route("/")
def home():
return "Hey there!"
if __name__ == "__main__":
app.run(host='0.0.0.0', debug=False, port=8000)@app.route("/getData/")
def getdata():
# Read the data from the json file
with open("data.json", "r") as read_file:
data = json.load(read_file)
# Return a response and the status code as 200 ^_^
return make_response(jsonify(data),200)@app.route("/setData/",methods=["POST"])
def setdata():
# Read the data from the json file
# The file is a list of dictionaries
with open("data.json", "r") as read_file:
data = json.load(read_file)
# Get the data that has been posted
# which is a dictionary
data_posted = request.get_json()
# append to the list the newly entered dictionary
data.append(data_posted)
# Open the file in write mode
# And dump the data
with open("data.json", "w") as write_file:
json.dump(data,write_file)
# Return a happy status ^_^
return make_response(jsonify({"success":True}),200)web: gunicorn -w 17 -b :$PORT app:app
Flask
gunicorn
🎊 A RESTful API has been made
- make the folder a git repository
git init - create a
Githubrepository of your own and push the folder to the repository - create a
Herokuaccount and deploy the repository and voila.
