Get The Most Out Of Everything You Read  Using Python

# JSON data
{
    "Sheet1": [
        {
            "date_added": "May 12, 8:59 AM, by Ankush Garg",
            "source": "Book",
            "title": "Fundamentals of Software Architecture",
            "chapter": "N/A",
            "note": "N/A",
            "highlight": "The microkernel architecture style is a relatively simple monolithic architecture consisting of two architecture components: a core system and plug-in components.",
            "page_number": "Page 165",
            "has_been_chosen_before": "0",
            "id": "48"
        },
        {
            "date_added": "Apr 12, 10:50 AM, by Ankush Garg",
            "source": "Book",
            "title": "Genetic Algorithms with Python",
            "chapter": "Chapter 4: Combinatorial Optimization - Search problems and combinatorial optimization",
            "note": "N/A",
            "highlight": "A search algorithm is focused on solving a problem through methodic evaluation of states and state transitions, aiming to find a path from the initial state to a desirable final (or goal) state. Typically, there is a cost or gain involved in every state transition, and the objective of the corresponding search algorithm is to find a path that minimizes the cost or maximizes the gain. Since the optimal path is one of many possible ones, this kind of search is related to combinatorial optimization, a topic that involves finding an optimal object from a finite, yet often extremely large, set of possible objects.",
            "page_number": "Page 109",
            "has_been_chosen_before": "0",
            "id": "21"
        }
]}

import json

# Ended up using http://beautifytools.com/excel-to-json-converter.php to convert Excel to Json

# URL where data is stored - local on my computer for now
url = '/Users/ankushgarg/Desktop/email-reading-highlights/notes-email-sender/data/data.json'

def read_json_data():
    with open(url) as json_file:
        response = json.load(json_file)
    return response

# This script reads in the data from S3 and selects highlights
import numpy as np
from database import read_json_data


def increment_has_chosen_before(item):
    count_now = int(item['has_been_chosen_before'])
    item['has_been_chosen_before'] = count_now + 1


class SelectorService:
    def __init__(self):
        self.raw_response = read_json_data() # Read in JSON data
        self.sampled_object = None
        self.sheet_name_to_sample_by = 'Sheet1'
        self.num_of_entries_to_sample = 3 # Number of entries to select

    def select_random_entries(self):
        # Randomly choose entries from the dataset
        self.sampled_object = np.random.choice(self.raw_response[self.sheet_name_to_sample_by],
                                               self.num_of_entries_to_sample)

        # For each selection increment the field "has_been_chosen_before"
        # In the future can use probability to make selections to notes that haven't gotten selected
        for note in self.sampled_object:
            increment_has_chosen_before(note)
        return self.sampled_object

from selector_service import SelectorService


class ContentParser:
    def __init__(self):
        self.sample_entries = SelectorService().select_random_entries()
        self.content = None

    def parse_selected_entries(self):
        content = ''
        for item_index in range(len(self.sample_entries)):
            item = "DATE-ADDED: " + self.sample_entries[item_index]['date_added']
            content = content + item + "\n"
            item = "HIGHLIGHT: " + self.sample_entries[item_index]['highlight']
            content = content + item + "\n"
            item = "TITLE: " + self.sample_entries[item_index]['title']
            content = content + item + "\n"
            item = "CHAPTER: " + self.sample_entries[item_index]['chapter']
            content = content + item + "\n"
            item = "SOURCE: " + self.sample_entries[item_index]['source']
            content = content + item + "\n"
            item = "PAGE-NUMBER: " + self.sample_entries[item_index]['page_number']
            content = content + item + "\n" + "------------" + "\n"
        self.content = content
        return self.content

# This service emails whatever it gets back from Content Parser
from parse_content import ContentParser
import smtplib
from email.message import EmailMessage


class MailerService:
    def __init__(self):
        self.msg = EmailMessage()
        self.content = ContentParser().parse_selected_entries()

    def define_email_parameters(self):
        self.msg['Subject'] = 'Your Highlights and Notes for today'
        self.msg['From'] = "[email protected]" # your email
        self.msg['To'] = ["[email protected]"] # recipient email

    def send_email(self):
        self.msg.set_content(self.content)
        with smtplib.SMTP_SSL('smtp.gmail.com', 465) as smtp:
            smtp.login("[email protected]", 'password') # email account used for sending the email
            smtp.send_message(self.msg)
        return True

    def run_mailer(self):
        self.define_email_parameters()
        self.send_email()


def run_job():
    composed_email = MailerService()
    composed_email.run_mailer()


run_job()

0 19 * * * /Users/ankushgarg/.pyenv/shims/python /Users/ankushgarg/Desktop/email-reading-highlights/notes-email-sender/mail_service.py >> /Users/ankushgarg/Desktop/email-reading-highlights/notes-email-sender/cron.log 2>&1