Sean-Bradley

def __init__(self):
    # initialize the successor chain
    self.chain1 = Dispenser50()
    self.chain2 = Dispenser20()
    self.chain3 = Dispenser10()

    # set the chain of responsibility
    # The Client may compose chains once or
    # the hadler can set them dynamically at
    # handle time

Sean-Bradley

{
    "openapi": "3.0.0",
    "info": {
        "version": "1.0.0",
        "title": "Seans-TypeScript-NodeJS-CRUD-REST-API-Boilerplate",
        "description": "A minimal and easy to follow example of what you need to create a CRUD style API in NodeJs using TypeScript",
        "license": {
            "name": "MIT",
            "url": "https://opensource.org/licenses/MIT"
        }

Sean-Bradley

APP = Flask(__name__)

### swagger specific ###
SWAGGER_URL = '/swagger'
API_URL = '/static/swagger.json'
SWAGGERUI_BLUEPRINT = get_swaggerui_blueprint(
    SWAGGER_URL,
    API_URL,
    config={
        'app_name': "Seans-Python-Flask-REST-Boilerplate"

Sean-Bradley

{
  "openapi": "3.0.0",
  "info": {
    "description": "sean",
    "version": "1.0.0",
    "title": "Seans-Python3-Flask-Rest-Boilerplate",
    "contact": {
      "email": "[email protected]"
    },
    "license": {

Sean-Bradley

{
  "openapi": "3.0.0",
  "info": {
    "description": "sean",
    "version": "1.0.0",
    "title": "Seans-Python3-Flask-Rest-Boilerplate",
    "contact": {
      "email": "[email protected]"
    },
    "license": {

Sean-Bradley

  ...
  
    "license": {
      "name": "MIT",
      "url": "https://opensource.org/licenses/MIT"
    }
  },
  "servers": [
    {
      "url": "/"

Sean-Bradley

...

  "tags": [
    {
      "name": "Book Request",
      "description": "Example API for requesting and return book requests"
    }
  ],
  "paths": {
    "/request": {

Sean-Bradley

{
  "openapi": "3.0.0",
  "info": {
    "description": "sean",
    "version": "1.0.0",
    "title": "Seans-Python3-Flask-Rest-Boilerplate",
    "contact": {
      "email": "[email protected]"
    },
    "license": {

Sean-Bradley

from flask import Flask, Response, stream_with_context
import time
import uuid
import random

APP = Flask(__name__)


@APP.route("/very_large_request/<int:rowcount>", methods=["GET"])
def get_large_request(rowcount):

Sean-Bradley

import requests
import psycopg2

with requests.get("http://127.0.0.1:5000/very_large_request/100000000", stream=True) as r:

    conn = psycopg2.connect(dbname="stream_test",
                            user="postgres", password="postgres")
    cur = conn.cursor()
    sql = "INSERT INTO transactions (txid, uid, amount) VALUES (%s, %s, %s)"