Request Files - FastAPI

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Wed Apr 20 2022 05:13:44 GMT+0000 (Coordinated Universal Time)

Saved by @newaaa41 ##python ##fastapi ##file ##fileupload

from fastapi import FastAPI, File, UploadFile

app = FastAPI()


@app.post("/files/")
async def create_file(file: bytes = File(...)):
    return {"file_size": len(file)}


@app.post("/uploadfile/")

async def create_upload_file(file: UploadFile):

    return {"filename": file.filename}

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Using UploadFile has several advantages over bytes: You don't have to use File() in the default value of the parameter. It uses a "spooled" file: A file stored in memory up to a maximum size limit, and after passing this limit it will be stored in disk. This means that it will work well for large files like images, videos, large binaries, etc. without consuming all the memory. You can get metadata from the uploaded file. It has a file-like async interface. It exposes an actual Python SpooledTemporaryFile object that you can pass directly to other libraries that expect a file-like object

https://fastapi.tiangolo.com/tutorial/request-files/

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#python ##python #strings #comments

Create simple string along with variables

#assign a value to a variable:
types_of_people = 10 
# make a string using variable name:
X = f “there are {types_of_people} types of people.”

Output:
There are 10 types of people

##fastapi ##python ##post_request

Path + Query + Request body - FastAPI

from fastapi import FastAPI

app = FastAPI()


@app.get("/items/")

async def read_items(q: str | None = None):

    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:
        results.update({"q": q})
    return results

##python ##fastapi ##file ##fileupload

Request Files - FastAPI

from fastapi import FastAPI, File, UploadFile

app = FastAPI()


@app.post("/files/")
async def create_file(file: bytes = File(...)):
    return {"file_size": len(file)}


@app.post("/uploadfile/")

async def create_upload_file(file: UploadFile):

    return {"filename": file.filename}

##nginx ##fastapi

Build FastAPI + uvicorn + nginx with docker-compose

upstream backend {
    server app:8000;
}

server {
    listen 80;
    # server_name  localhost;

    location / {
        proxy_pass http://backend;
    }

    # log
    # access_log /var/log/nginx/access.log;
    # error_log /var/log/nginx/error.log;
}

#python ##python ##pythonlists

How to use for loop with range function.

  #use for loop and set the range
for index in range(10):
  Print (index)
           
           #when you run this program, the output will be:
               0 
               1 
               2 
               3 
               4 
               5
               6
               7
               8 
               9

##python ##python2.7 ##codecademy

Calculator For Best Shipping Option with Grounded Values

def ground_cost(weight):
  if weight <= 2:
    return weight * 1.50 + 20
  elif weight > 2 and weight <= 6:
    return weight * 3.00 + 20
  elif weight > 6 and weight <= 10:
    return weight * 4.00 + 20
  elif weight > 10:
    return weight * 4.75 + 20

premground_cost = 125.0

def drone_cost(weight):
  if weight <= 2:
    return weight * 4.50
  elif weight > 2 and weight <= 6:
    return weight * 9
  elif weight > 6 and weight <= 10:
    return weight * 12
  elif weight > 10:
    return weight * 14.25


def pricecheck(weight):
  if ground_cost(weight) < premground_cost and ground_cost(weight) < drone_cost(weight):
    return "Ground shipping is the cheapest option for the selected weight. Your total cost will be $" + str(ground_cost(weight)) + "."
  elif premground_cost < ground_cost(weight) and premground_cost < drone_cost(weight):
    return "Our premium option is for you. The total price is set at 125 dollars."
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    return "Drone shipping seems to be the cheapest for you! Your cost will be $" + str(drone_cost(weight)) + "."

##python ##virtualenv ##env

Python virtualenv

# instala la libreria
pip install virtualenv

# genera el virtualenv env
virtualenv env

#activo el virtual env
source env/bin/activate

#guardar todo las librerias en un archivo de texto
pip freeze > requirements.txt

#instalar las librerias de un env a partir de requirements.txt
source env/bin/activate
pip install -r requirements.txt

##python ##outlook

Send an outlook email using python with out SMTP

import win32com.client
from win32com.client import Dispatch, constants

const=win32com.client.constants
olMailItem = 0x0
obj = win32com.client.Dispatch("Outlook.Application")
newMail = obj.CreateItem(olMailItem)
newMail.Subject = "I AM SUBJECT!!"
# newMail.Body = "I AM\nTHE BODY MESSAGE!"
newMail.BodyFormat = 2 # olFormatHTML https://msdn.microsoft.com/en-us/library/office/aa219371(v=office.11).aspx
newMail.HTMLBody = "<HTML><BODY>Enter the <span style='color:red'>message</span> text here.</BODY></HTML>"
newMail.To = "testemail@company.com"
attachment1 = r"C:\Temp\example.pdf"
newMail.Attachments.Add(Source=attachment1)
newMail.display(True)
newMail.Send()

##python ##pandas ##format

f string format

number = 1_000_000.50
f"${number:,.0f}"
'$1,000,000'

f"${number:,.2f}"
'$1,000,000.50'

##python ##for-loop ##if-statements

A prime Checker Code

## Your code should check if each number in the list is a prime number
check_prime = [26, 39, 51, 53, 57, 79, 85]

## write your code here
## HINT: You can use the modulo operator to find a facto
prime_numbers = []
counter_prime = 0
for prime in check_prime:
    if (prime % 2 == 0):
       print("{} is not a prime number".format(prime))
    elif (prime % 3 == 0):
        print("{} is not a prime number".format(prime))
    elif(prime % 5 == 0):
        print("{} is not a prime number".format(prime))
    elif(prime % 7 == 0):
        print("{} is not a prime number".format(prime))
    else:
        prime_numbers.append(prime)
        print("{} is a prime number".format(prime))
    counter_prime += 1

print("These are the prime numbers : {}".format(prime_numbers))



## Altenatively,

check_prime = [26, 39, 51, 53, 57, 79, 85]

# iterate through the check_prime list
for num in check_prime:

# search for factors, iterating through numbers ranging from 2 to the number itself
    for i in range(2, num):

# number is not prime if modulo is 0
        if (num % i) == 0:
            print("{} is NOT a prime number, because {} is a factor of {}".format(num, i, num))
            break

# otherwise keep checking until we've searched all possible factors, and then declare it prime
        if i == num -1:    
            print("{} IS a prime number".format(num))

##python ##imageprocessing

Box Blur | MLPro

import numpy as np

# Please do not change the below function name and parameters
def box_blur(image):
    # print(sum(image))
    image = np.asarray(image)
    image =image.astype(np.float64)
    # print(type(image))
    # print("1")
    h,w = len(image), len(image[0])
    # print(h,w)
    new_arr = np.zeros((h+2,w+2))
    # print(new_arr)
    # print("1")
    for i in range(1,h+1):
        new_arr[i][1:w+1] = image[i-1]
    # print(new_arr)
    # new_arr[1:h+1][1:w+1] = image
    # print(new_arr)

    for i in range(1,h+1):
        for j in range(1,w+1):
            image[i-1][j-1] = (sum(new_arr[i-1][j-1:j+2])+ sum(new_arr[i][j-1:j+2])+sum(new_arr[i+1][j-1:j+2]))/9
            # print(image[i-1][j-1])
    print(image)
    return image

##python ##for-loop ##if-statements

Installing Virtualenv on Windows, MacOX, Linux

STEP 1: UNIVERSAL INSTALL THE VIRTUAL ENV PACKAGE ON YOUR TERMINA
$ pip install virtualenv // this installs the virtualenv

STEP 2: MOVE TO THE DIRECTORY OF YOUR CHOICE 
$ cd Documents/chisomloius/Data-labelling //for example


STEP 3: CREATE THE VIRTUAL ENV NAME OF YOUR CHOICE //
$ virtualenv [name of virtual environment] or python -m virtualenv [name of virtual environment] //this create a directory with the name e.g virtual_env
$ virtualenv env or python -m virtualenv virtual_env //this create a directory with the name 'virtual_env'


STEP 4: ACTIVATE/DEACTIVATE VIRTUAL ENV
$ .\/virtual_env/scripts/activate // use this to activate for command prompt
$ .\/virtual_env/Scripts/activate.ps1 // use this to activate for Powershell
$ source bin/activate // use this to MacOSX and Linux
---------------------------------
$ deactivate // deactiate virtaul env

STEP 5: ADDING OTHER PACKAGES ON THE VIRTUAL ENVIRONMENT OR USING THE REQUIREMENT FILE
pip install -r requirements.txt //import more than one package
pip install pageName

##python ##machinelearning

Box-Muller Transformation

#!/usr/bin/python3

import numpy as np

# Please do not change the below function name and parameters
def transform(u1,u2):
    z1 = np.sqrt(-2* np.log(u1)) * np.cos(2*np.pi*u2)
    z2 = np.sqrt(-2* np.log(u1)) * np.sin(2*np.pi*u2)
    return (z1,z2)

##python ##machinelearning

Bubble Sort | MLPro

def bubbleSort(values):
    for i in range(len(values)):
        for j in range(len(values)-1):
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                values[j] ,values[j+1] = values[j+1], values[j]
    return values

##pandas ##python

find the percentage of missing values in pandas

percent_missing = df.isnull().sum() * 100 / len(df)
missing_value_df = pd.DataFrame({'column_name': df.columns,
                                 'percent_missing': percent_missing})

Request Files - FastAPI

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