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Introduction

• C-a == Ctrl-a
• M-a == Alt-a

General

:q        close
:w        write/saves
:wa[!]    write/save all windows [force]
:wq       write/save and close

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__author__ = 'dkarchmer'
'''
This script emulates a stand-alone Python based client. It relies on Boto3 to access AWS, but
requires your Django server to have an API for your user to access Cognito based credentials

Because of Cognito, the client (this script) will only get temporary AWS credentials associated
to your user and only your user, and based on whatever you configure your AIM Policy to be.

Most Cognito examples demonstrate how to use Cognito for Mobile Apps, so this scripts demonstrate
how to create a stand-alone Python script but operating similarly to these apps.

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import os, boto3
from botocore.client import Config

from django.conf import settings

from rest_framework import parsers
from rest_framework.permissions import IsAuthenticated
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework.renderers import JSONRenderer

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// dependencies
var async = require('async');
var path = require('path');
var AWS = require('aws-sdk');
var gm = require('gm').subClass({
    imageMagick: true
});
var util = require('util');
// get reference to S3 client
var s3 = new AWS.S3();

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"""
Fix for some issues with the original code from Heroku:
	https://devcenter.heroku.com/articles/s3-upload-python
	
This example is also designed for use with Django, not Flask as in the original.
"""

import base64
import hashlib
import hmac

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1. Change your database RDS instance security group to allow your machine to access it.
   • Add your ip to the security group to acces the instance via Postgres.
2. Make a copy of the database using pg_dump
   • $ pg_dump -h <public dns> -U <my username> -f <name of dump file .sql> <name of my database>
   • you will be asked for postgressql password.
   • a dump file(.sql) will be created
3. Restore that dump file to your local database.
   • but you might need to drop the database and create it first
   • $ psql -U <postgresql username> -d <database name> -f <dump file that you want to restore>

• the database is restored

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# Copyright (c) 2018 Bao Nguyen <b@nqbao.com>
# 
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
# 
# The above copyright notice and this permission notice shall be included in all

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import logging.config
import os
from django.utils.log import DEFAULT_LOGGING

# Disable Django's logging setup
LOGGING_CONFIG = None

LOGLEVEL = os.environ.get('LOGLEVEL', 'info').upper()

logging.config.dictConfig({

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"""
Adds a `seed` paramter to DRF's `next` and `prev` pagination urls
"""
from rest_framework import serializers
from rest_framework import pagination
from rest_framework.templatetags.rest_framework import replace_query_param

from . import utils

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So you want to display a Metaplex NFT

This guide will attempt to give an overview of the technical/coding steps that are required to render a Metaplex NFT with any programming language/platform. I'll attempt to write it a programming language-agnostic manner; you'll need to fill in the particular methods of performing the steps with your coding language of choice.

For the purposes of discussion, we'll call the Solana account that holds the Metaplex NFTs the "NFT-Account."

Step 1: Call getTokenAccountsByOwner

The first thing you need to do is call the getTokenAccountsByOwner JSON RPC method as documented here: