Basic-FastAPI-Python-APPARKY

In This Project We learn how to start with FastAPI

FastAPI is an Open Source Library in Python, used to create Servers just like Django & Flask, with more use case and for API deployment (mostly for ML & AI integrations)

To Start with you'll need 3 Libraries named as

• FastAPI
• Uvicorn
• Starlette

The Following command is used to download the required libraries

pip install fastapi
pip install uvicorn
pip install statlette

We also provide requirement.txt with this project repo you can also download and install all dependencies form this file.

Commands to install dependencies from requirement.txt is given billow

pip install -r requirement.txt

Now you are ready to code

Step 1

Create a Directory named fastapi [You can use any made up names]

Step 2

Create a file named main.py

Copy and Paste the following code in to that file

import uvicorn


if __name__ == '__main__':
    uvicorn.run("app.app:app", port=8001, reload=True)

Step 3

Create another Directory in the main Directory named app

Step 4

Create two files named __init__.py and app.py

Copy and Paste the following code in to the app.py file

from fastapi import FastAPI

app = FastAPI()


@app.get("/", tags=['ROOT'])
async def root() -> dict:
    return {'Hello': 'FastAPI'}

use of async before defining the function is good practice for FastAPI, and the function returns the Dictionary which is denoted as dict

Your Server is ready to fire.

Open the terminal and run this command

python main.py

You'll see the server is running like this fashion

(venv) PS C:\Users\...\fastapi> python main.py
INFO:     Will watch for changes in these directories: ['C:\\Users\\...\\fastapi']
INFO:     Uvicorn running on http://127.0.0.1:8001 (Press CTRL+C to quit)
INFO:     Started reloader process [7936] using StatReload               
INFO:     Started server process [8788]
INFO:     Waiting for application startup.
INFO:     Application startup complete.   
INFO:     127.0.0.1:54208 - "GET / HTTP/1.1" 200 OK

Now open this link http://127.0.0.1:8001 in to your Browser.

This is how it looks like

Now got to this Link http://127.0.0.1:8001/docs . The page will look like this

Now Click on Try it out and then Click on Execute

Then you'll see some message and a link has been displayed billow the Execute Button like this

Now Copy the command from the Curl

curl -X 'GET' \
  'http://127.0.0.1:8001/' \
  -H 'accept: application/json'

And Paste it on GitBash Terminal. You can see the message on the terminal like this

This is basic app by FastAPI You can also

• Create
• Read
• Update
• Delete

by using FastAPI

And the method we use to do for that are

• Get
• Post
• Put
• Delete

Let's see how the Get method is looks like

Get Method:

Create another function and do the same for the Basic App Creation just like this

# Get Method to create a post
@app.get("/val", tags=['VAL'])
async def val() -> dict:
    return {'data': values}


values = [

    {
        'id': '1',
        'name': 'APPARKY'
    },
    {
        'id': '2',
        'name': 'Apparium'
    }
]

This is similar to Basic App, Except we return variable named value and pass a dictionary in it. This is How the OutPut Looks like for Get Method

Now got to this Link http://127.0.0.1:8001/docs . The page will look like this

Now Click on Try it out and then Click on Execute

Now Copy the command from the Curl

curl -X 'GET' \
  'http://127.0.0.1:8001/val' \
  -H 'accept: application/json'

And Paste it on GitBash Terminal. You can see the message on the terminal like this

Post Method

Create another function for Post just like this

@app.post("/val", tags=['VAL'])
async def post_val(val: dict) -> dict:
    values.append(val)
    return {
        'data': 'Data Has been added Successfully'
    }

In this function a parameter has been assigned in a form of dictionary, by which we can save data.

Let's see how dose it looks like

Now expand it and click on Try it out and then Paste data on Request Body section like this

{
      "id": "3",
      "name": "Tame The Codes"
    }

Click on Execute. This is how it looks like..

To check if the was added or not, follow the Get Method to see the data..

Here you can see the Data has been added.

You can also use Curl To add Data. We already discuss about Curl, this is the code

 curl -X 'POST' \
  'http://127.0.0.1:8001/val' \
  -H 'accept: application/json' \
  -H 'Content-Type: application/json' \
  -d '{
      "id": "3",
      "name": "Tame The Codes"
    }'

This is how it looks like..

You can see the on this link http://localhost:8001/val . And this is how it looks like..

Put Method

Put Method is used to Update the Stored Date. Create a Function on app.py for that like this :

@app.put("/val{_id}", tags=['VAL'])
async def put_val(_id: int, body: dict) -> dict:
    for val in values:
        if int(val['id']) == _id:
            print(val['id'])
            print(_id)
            val['name'] = body['name']
            return {
                'data': f'Values with id {_id} has been updated'
            }
    return {
        'data': f'id {_id} not Found'
    }

This is how the web page looks like :

Again follow the same method Click to Try it out give the id on _id section and Click on Execute. This is how it looks like.

This is the Curl for the same

This is how Curl looks like on GitBash

Now click on this link http://localhost:8001/val . Check the value here .

Delete Method

As the name says, this will delete the data. Code for that are given billow

@app.delete("/val{_id}", tags=['VAL'])
async def delete_val(_id: int) -> dict:
    for val in values:
        if int(val['id']) == _id:
            values.remove(val)
            return {
                "data": f"id {_id} has been updated"
            }

    return {
        "data": f"id {_id} not Found"
    }

This is how it looks like ...

To Delete data follow the same ..

Curl Code to Delete data ..

We are done.

Thanks and regards Apparky

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