PDF file generation from HTML file in Python

PDF Generation from HTML File in Python

I am sharing my script to generate PDF file from HTML file in Python using PDFKit module.

Install Python PDF-Kit

$ pip install pdfkit

Some Simple Examples:

import pdfkit

pdfkit.from_url('http://testpage.com', 'out.pdf')
pdfkit.from_file('test.html', 'out.pdf')
pdfkit.from_string('Hello!', 'out.pdf')

My Sample Script to generate PDF from HTML page.

 import os
import sys
from flask import Flask,request
import pdfkit
from flask import make_response
import logging.config
app = Flask(__name__)
from decouple import config
# Logger and handlers
LOGGING = {
    'version': 1,
    'disable_existing_loggers': False,
    'formatters': {
        'console': {
            'format': '%(levelname)-1s: %(asctime)s [%(name)-12s.%(funcName)s.%(lineno)s] %(message)s',
        },
        'file': {
            'format': '%(levelname)-1s: %(asctime)s [%(name)-12s.%(funcName)s.%(lineno)s] %(message)s',
        },
    },
    'handlers': {
        'console': {
            'level': "DEBUG",
            'class': 'logging.StreamHandler',
            'formatter': 'console',
            'stream': sys.stdout
        },
        'file': {
            'level': "DEBUG",
            'class': 'logging.handlers.RotatingFileHandler',
            'formatter': 'file',
            'filename': 'htmltopdf.log',
        },
    },
    'loggers': {
        '': {
            'handlers': ['file'],
            'level': "DEBUG",
            'propagate': True
        },
    }
}
logging.config.dictConfig(LOGGING)
LOGGER = logging.getLogger(__name__)

@app.route("/")
# Function for html to pdf convertor
def function_html_to_pdf_convertor():
    try:
        logging.debug("calling func")
        html_file = request.args.get('f', default="", type=str)
        if html_file:
            html_file = '{}{}'.format(html_file,'.html')
            filepath = os.path.join(app.static_folder, html_file)
            filename = os.path.splitext(os.path.basename(filepath))[0]
            css = "static/style.css"
            options = {
                'page-size': 'Letter',
                'encoding': "UTF-8",
                'zoom': 1.80,
                'footer-center': 'Page [page]/[topage]',
                'footer-font-size': 8
            }
            if os.path.isfile(filepath):
                #pdf = pdfkit.from_file(filepath, css=css)
                pdf = pdfkit.from_file(filepath, False,options=options, css=css)
                response = make_response(pdf)
                response.headers.set('Content-Disposition', 'attachment', filename=filename + '.pdf')
                response.headers.set('Content-Type', 'application/pdf')
                return response
            else:
                logging.debug("File not found")
                return {
                    "status": 404,
                    "message": 'File not found'
        }
        logging.debug("'Please provide file'")
        return{
            "status": 400,
            "message": 'Please provide file'
        }
    except Exception as e:
        logging.debug("Bad request {}".format(e))
        return {
            "status": 400,
            "error": '{}'.format(e)
        }
# main function
if __name__ == "__main__":
    app.run()

AWS Cognito SSO Integration with Python

AWS Cognito SSO Integration with Python

AWS SSO Cognito OAuth2.0 implementation as per below URL:

https://aws.amazon.com/blogs/mobile/understanding-amazon-cognito-user-pool-oauth-2-0-grants/

First we need to create code, get Client ID and Client Secret. Run below URL:

https://AUTH_DOMAIN/login?client_id=XXXXXXXXXX&response_type=code&scope=email+openid&redirect_uri=http://localhost/test/sso_check

Above URL will return to redirect url with code in query string.

Note: Code is valid for one time transaction only.

Get Access Token using the Code as per below description:

Make below request:

this will return below response:

{

    "id_token": "eyJraWQiOiJJNGs2UXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX",

    "access_token": "eyJraWQiOiJENllqdXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX",

    "refresh_token": "eyJjdHkiOiJKV1QiLCJlbmXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX",

    "expires_in": 3600,

    "token_type": "Bearer"

}

From above response we need to use id_token to get user information:

• id_token – A valid user pool ID token. Note that an ID token is only provided if the openid scope was requested.

Below is the Python code Github URL to get user information by validating JWT token returned in id_token key.

https://github.com/awslabs/aws-support-tools/tree/master/Cognito/decode-verify-jwt

https://github.com/awslabs/aws-support-tools/blob/master/Cognito/decode-verify-jwt/decode-verify-jwt.py

Below is the response from above Python code:

Python Flask REST API Tutorial

Python Flask REST API Tutorial

I am sharing my Python code to create simple REST API. I have used Python's lightweight framework Flask is used to create simple REST API. Flask Restful is an extension of Flask. This code may helpful for some beginner Python developer. 

from flask import Flask

from flask_restful import Resource, Api

app = Flask(__name__)

api = Api(app)

class HelloWorld(Resource):

    def get(self):

        return {'hello': 'world'}

api.add_resource(HelloWorld, '/')

if __name__ == '__main__':

    app.run(debug=True)

Print CSV Content in Python Tutorial

As CSV is most common file to import and export data on web applications. So we may need to use this feature in almost our most of the apps. So I am sharing my small Python code to print CSV data into an array. May this code is helpful for someone.

We need CSV module of Python for this code to run. We used CSV module `reader` function to read CSV content in Python.

import csv

results = []

with open('test.csv', newline='') as csvfile:

    reader = csv.reader(csvfile, delimiter=' ', quotechar='|')

    for row in reader:

        results.append(row)

print("CSV data: ", results)

More details on CSV module of Python, please follow below URL:

https://docs.python.org/3/library/csv.html

Python Basics 

 Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming.

Python is an interpreted language, which can save you considerable time during program development because no compilation and linking is necessary.

Python is extensible: with C/C++/Java code, and easily embeddable in applications.

Some Python modules are also useful as scripts.

Python source files are treated as encoded in UTF-8.

Start the interpreter and wait for the primary prompt, >>>.

The interpreter acts as a simple calculator. The operators +, -, * and / work just like in most other languages.

Python can also manipulate strings.  They can be enclosed in single quotes (‘) or double quotes (“). 

Simple print command in Python.

print("Hello world")

Math Commands acts like a calculator.

>>> 2 + 2

4

>>> 17 / 3  # classic division returns a float

5.666666666666667

>>> 5 * 3 + 2  # result * divisor + remainder

17

>>> width = 20

>>> height = 5 * 9

>>> width * height

900

If Statement in Python: Below example is asking to input integer value. isdigit() function is checking if provided value in of type int.

Try Except statements are used for catching any exception. It protects any exception if we don't enter any

input.

try:

    x = int(input("Please enter number: "))

    if x.isdigit():

        if x <= 0:

            x = 0

            print('Printing 0 value')

        elif x < 10:

            print('Printing ' + str(x))

        else:

            print('Value is very big')

except:

    print("Please enter valid input")

For Loop Below example printing hexa code of colors by their name in Python.

Install colour package of Python

pip install colour

Ref: https://pypi.org/project/colour/

Converts and manipulates common color representation (RGB, HSL, web, …)

from colour import Color

colors = ['red', 'green', 'white', 'blue']

for c in colors:

    n = Color(c)

    print(c, n.hex)

Fibonacci Series in Python as follows:

# Fibonacci series:

# the sum of two elements defines the next

a, b = 0, 1

while a < 10:

    print(a)

    a, b = b, a+b

For loop in Python:

a = 0 b = [] for a in range(0, 10): b.append(4 + ((a - 1) * 3)) s = ',' . join(str(c) for c in b) print(s) // print array elements in string

Function in Python:

def parrot(a, b, c):

print(a,b,c)

d = {"a": "this", "b": " is my ", "c": "test"}

parrot(**d)

AWS X-ray Send Traces Lumen

AWS X-ray Test Script in PHP Framework Lumen

I have tested sending traces to AWS X-Ray through API Gateway through Lumen.

I have used below PHP package:

https://packagist.org/packages/pkerrigan/xray

<?php

namespace App\Http\Controllers\API;

use App\Http\Controllers\Controller;

use Illuminate\Http\Request;

use App\Support\Response;

use Pkerrigan\Xray\Trace;

use Pkerrigan\Xray\Submission\DaemonSegmentSubmitter;

use Pkerrigan\Xray\Segment;

class TestController extends Controller

{

    /**

     * construct

     */

    public function __construct(Response $response) {

        $this->response = $response;

    }

    /**

     * test xray

     */

    public function xray() {    

      try {  

        if(env('ENABLE_XRAY')) {

              //echo "----Tracing Start 14 ----";

              Trace::getInstance()

                ->setTraceHeader($_SERVER['HTTP_X_AMZN_TRACE_ID'] ?? null)

                ->setName('api-1')

                ->setUrl("[API-1-URL]")

                ->setMethod('GET')

                ->begin();

              Trace::getInstance()

                ->setTraceHeader($_SERVER['HTTP_X_AMZN_TRACE_ID'] ?? null)

                ->setName('api-2')

                ->setUrl("[API-2-URL]")

                ->setMethod('GET')

                ->begin();

                

              Trace::getInstance()

                ->setTraceHeader($_SERVER['HTTP_X_AMZN_TRACE_ID'] ?? null)

                ->setName('api-3')

                ->setUrl("[API-3-URL]")

                ->setMethod('GET')

                ->begin();    

                  

              Trace::getInstance()

              ->getCurrentSegment()

              ->end()

              ->setResponseCode(http_response_code())

              ->submit(new DaemonSegmentSubmitter());

              return $this->response->success(array('xray-res' => 'success'));

          } else {

            return $this->response->success(array('xray-res' => 'no-set'));

          }

        } catch(Exception $e) {

          return $this->response->success(array('xray-res' => $e->getMessage()));

        }

    }

}

GIT Pull Using Nodejs

GIT Pull Using Nodejs

I am sharing my code to take GIT pull through NodeJS. May be this small code can help someone.

// create config module

var config = {};

to_dir_client = "path to folder...";

client_git_repo = "Bitbucket URL... ";

// export config object as a node module

export default config;

/*-----------------------------------------------------------

--- install git repo js file

-----------------------------------------------------------*/

// include modules

import config, { to_dir_client, client_git_repo } from './config';

import gitP from 'simple-git/promise';

// install repo

const git_client = gitP(to_dir_client);

git_client.checkIsRepo()

   .then(isRepo => !isRepo && initialiseClientRepo(git_client))

   .then(() => git_client.pull('origin', 'master'));

// function to add origin

function initialiseClientRepo (git) {

   return git.init()

      .then(() => git.addRemote('origin', client_git_repo))

}