Aaron ("AJ") Steers aaronsteers

There's no easy way to go from a full S3 path to the isolated bucket and key path, so I created the below snippet to do this.

  bucket = split("/", split("//", var.s3_path_to_lambda_zip)[1])[0]
  key = join("/", slice(
    split("/", split("//", var.s3_path_to_lambda_zip)[1]),
    1,
    length(split("/", split("//", var.s3_path_to_lambda_zip)[1]))
  ))

	{
	"openapi": "3.0.1",
	"info": {
	"title": "Kaggle API",
	"description": "API for kaggle.com",
	"termsOfService": "https://www.kaggle.com/terms",
	"contact": {
	"name": "Contact Kaggle",
	"url": "https://www.kaggle.com/contact"
	},

	{
	"$schema": "http://json-schema.org/draft-07/schema#",
	"$id": "https://github.com/airbytehq/airbyte/blob/master/airbyte-protocol/models/src/main/resources/airbyte_protocol/airbyte_protocol.yaml",
	"title": "AirbyteProtocol",
	"type": "object",
	"description": "AirbyteProtocol structs",
	"version": "0.3.2",
	"properties": {
	"airbyte_message": {
	"$ref": "#/definitions/AirbyteMessage"

	# First install Python 3.9. This can be installed from Windows Store or using winget.

	# Make sure key libraries/tools are updated

	pip install --upgrade wheel
	pip install --upgrade setuptools
	pip install --upgrade pip

	# Install the C++ Build Tools v14 or greater:

	{{! Meltano Docstring Template - Same as Google but delegates type hinting to the function signature
	Save locally and use with this VS Code extension:
	https://marketplace.visualstudio.com/items?itemName=njpwerner.autodocstring }}
	{{summaryPlaceholder}}

	{{extendedSummaryPlaceholder}}

	{{#parametersExist}}
	Args:
	{{#args}}

	# First step: download and install Winget using the latest from GitHub releases here: https://github.com/microsoft/winget-cli/releases

	As of Aug 25, 2021: https://github.com/microsoft/winget-cli/releases/download/v1.0.11692/Microsoft.DesktopAppInstaller_8wekyb3d8bbwe.msixbundle

	# Confirm winget is installed
	winget --help

	# How to search:
	winget search VS Code

	Privacy Policy

	No data is shared externally. Each person is responsible for creating and managing their own API tokens and secrets.

	# first navigate to brew.sh to install homebrew
	# compare below with https://docs.dataops.tk/setup/mac

	# Note: The 'cask' keyword is no longer needed for gui tools: https://stackoverflow.com/a/66081492
	# Only if there's a name conflict do you need the new (and optional) `--cask` argument during install

	brew install visual-studio-code

	# Install pyenv for managine multiple python versions:
	brew install pyenv

	# Instructions:
	#
	# 1. Save this file as `{root}/.github/workflows/cicd.yml`.
	# 2. Set the `PYPI_USER` and `PYPI_PASS` secrets in your GitHub CI config.
	# 3. Update the `PYPACKAGE_NAME` declaration to the name you want to use in PyPi.
	#
	# Public Gist: https://gist.github.com/aaronsteers/f3eec4db94d3db1de78b76b3318e9e33

	name: Python CI/CD
	env:

	locals {
	# Directories start with "C:..." on Windows; All other OSs use "/" for root.
	is_windows = substr(pathexpand("~"), 0, 1) == "/" ? false : true
	}
	resource "null_resource" "cli_command" {
	provisioner "local-exec" {
	# Keep as-is. This ensures windows always uses PowerShell, linux/mac use their default shell.
	interpreter = local.is_windows ? ["PowerShell", "-Command"] : []
	# TODO: Replace the below with the windows and linux variants
	command = local.is_windows ? "sleep 60" : "sleep 60"