toddbirchard

#!/bin/bash

PROJECT=$(pwd)
CURRENT_GHOST_VERSION=$(ghost version)
NEW_GHOST_VERSION=$(ghost check-update)

# Ensure latest NPM & Ghost CLI versions
echo "Getting latest version of NPM & Ghost-ClI"
sudo npm install -g npm@latest
sudo npm install -g ghost-cli@latest

toddbirchard

import React from 'react'
import PropTypes from 'prop-types'
import { StaticQuery, graphql } from 'gatsby'
import { FaGithub, FaCode, FaStar, FaCodeBranch, FaProjectDiagram } from 'react-icons/fa'

/**
* Github widget
*/

const GithubWidget = ({ data }) => {

toddbirchard

PROJECT_NAME := $(shell basename $CURDIR)
VIRTUAL_ENVIRONMENT := $(CURDIR)/.venv
LOCAL_PYTHON := $(VIRTUAL_ENVIRONMENT)/bin/python3
LOCAL_PYTHON_ACTIVATE := $(VIRTUAL_ENVIRONMENT)/bin/activate

define HELP
Manage $(PROJECT_NAME). Usage:

make run        - Run $(PROJECT_NAME) locally.
make install    - Create local virtualenv & install dependencies.

toddbirchard

x

toddbirchard

import React from 'react'
import PropTypes from 'prop-types'
import { StaticQuery, graphql } from 'gatsby'
import { FaTwitter, FaUsers, FaRetweet, FaHeartbeat, FaReply } from 'react-icons/fa'
import { AiOutlineCalendar } from 'react-icons/ai'

const TwitterWidget = ({ data }) => {
  const tweets = data.tweets.edges
  const twitterProfile = data.twitterProfile.user
  const twitterProfileURL = `https://twitter.com/${twitterProfile.screen_name}/`

toddbirchard

def dataframe_difference(df1, df2, which=None):
    """Find rows which are different."""
    comparison_df = df1.merge(df2,
                              indicator=True,
                              how='outer')
    if which is None:
        diff_df = comparison_df[comparison_df['_merge'] != 'both']
    else:
        diff_df = comparison_df[comparison_df['_merge'] == which]
    diff_df.to_csv('data/diff.csv')

toddbirchard

"""Collects locally stored images listed in report generated from https://www.deadlinkchecker.com/"""
import pandas as pd
import os
from shutil import copyfile


def read_csv_of_images():
    """Read CSV of broken images generated from link checker."""
    links_df = pd.read_csv('data/brokenlinks.csv')
    links_df.dropna(subset=['anchor'], inplace=True, axis=0)

toddbirchard

def timeit(method):
  """Print execution time of decorated function."""
    def timed(*args, **kw):
        ts = time.time()
        result = method(*args, **kw)
        te = time.time()
        if 'log_time' in kw:
            name = kw.get('log_name', method.__name__.upper())
            kw['log_time'][name] = int((te - ts) * 1000)
        else:

toddbirchard

import sys
import pymysql
import logging


class Database:
    """Database connection class."""

    def __init__(self, config):
        self.host = config.db_host

toddbirchard

import os
import json
import glob
import PIL
from PIL import Image


def get_all_images():
    """Create an array of PNGs and JPGs."""
    img_arr = []