codingjoe

name: Development DB

on:
  schedule:
    - cron: "0 4 * * *"
  workflow_dispatch:

jobs:
  dev-db:
    services:

codingjoe

function updateData () {
  /* Fetch project cards from GitHub project and insert into Google Sheet. */
  const scriptProperties = PropertiesService.getScriptProperties()

  const spreadsheet = SpreadsheetApp.getActive()
  const sheetName = scriptProperties.getProperty('SHEET_NAME')
  const sheet = spreadsheet.getSheetByName(sheetName)
  const githubApiUrl = 'https://api.github.com/graphql'
  const githubAccessToken = scriptProperties.getProperty('GITHUB_ACCESS_TOKEN')
  const githubOrg = scriptProperties.getProperty('GITHUB_ORG')

codingjoe

1. Install PostgreSQL with PostGIS via Postges.app
2. Install brew as recommended.
3. Install dependencies:

   brew install geos gdal
   

4. Add the following to your settings:

   # settings.py
   

GDAL_LIBRARY_PATH = os.getenv('GDAL_LIBRARY_PATH')

codingjoe

release: bin/release
web: ...
worker: ...

codingjoe

diff --git a/django/core/checks/security/base.py b/django/core/checks/security/base.py
index c21725518b..ecd5f5e004 100644
--- a/django/core/checks/security/base.py
+++ b/django/core/checks/security/base.py
@@ -4,6 +4,8 @@ from django.conf import settings
 from django.core.exceptions import ImproperlyConfigured
 
 from .. import Error, Tags, Warning, register
+from ...cache import caches
+from ...cache.backends.filebased import FileBasedCache

codingjoe

#!/usr/bin/env sh

set -exo pipefail

# Usage: ./compress-video.sh input-video.mp4 [output-filename-no-ext] [bitrate]

echo "Encode AV1..."
ffmpeg -hide_banner -i "$1" -pass 1 -c:v libaom-av1 -cpu-used 4 -strict experimental -tile-columns 3 -b:v "${3:-"1.3M"}" -threads 8 -auto-alt-ref 1 -lag-in-frames 25 -g 128 -pix_fmt yuv420p -an -sn -y -f webm /dev/null && \
ffmpeg -hide_banner -i "$1" -pass 2 -c:v libaom-av1 -cpu-used 4 -strict experimental -tile-columns 3 -b:v "${3:-"1.3M"}" -threads 8 -auto-alt-ref 1 -lag-in-frames 25 -g 128 -pix_fmt yuv420p -an -sn -y -f webm "${2:-voiio-login-bg}.av1.webm"

codingjoe

From a7e3b566f5cfdc8a8685cb38e3709c46c42fcb9d Mon Sep 17 00:00:00 2001
From: Johannes Hoppe <[email protected]>
Date: Thu, 31 Oct 2019 14:20:25 +0900
Subject: [PATCH] Review suggestions

---
 django/contrib/admin/static/admin/js/autocomplete.js |  3 ++-
 django/contrib/admin/views/autocomplete.py           |  9 +++------
 django/contrib/admin/widgets.py                      | 10 +++++-----
 tests/admin_views/test_autocomplete_view.py          |  2 +-

codingjoe

Hi Jose, that is a very good question. Many people tend to make the discussion about durability or performance, when in fact most people don't have performance issues. I believe if you want to figure out, what database to use, you need to first figure out what our application's requirements are. If you are building a browser based application that is running locally and you don't need anything but integers, floats and chars. Go with SQLite. If you run a more sophisticated application, maybe follow a SOA based architecture or want to use JSON, UUID, HStore or Arrays; different indices, stemming and database triggers; not to forget PostGIS. Use PostgreSQL. If you have a BI team that needs to build ETL processes, definitely use PostgreSQL.

Bottom line, if you need a simple structured ACID conform data store, use SQLite. If you need a database with plenty features and umpf, use PostgreSQL. BUT ultimately it comes down to what you are most comfortable with. I have been using PostgreSQL for almost a decade and am

codingjoe

MSGLANGS = $(wildcard */locale/*/LC_MESSAGES/*.po)
MSGOBJS = $(MSGLANGS:.po=.mo)

gettext: $(MSGOBJS)

gettext-clean:
	-rm ${MSGOBJS}

%.mo: %.po
	msgfmt -c -o $@ $*.po

codingjoe

diff --git a/package.json b/package.json
index af301ee..f452451 100644
--- a/package.json
+++ b/package.json
@@ -1,7 +1,7 @@
 {
   "name": "heroku-connect-plugin",
   "description": "Heroku Connect plugin for Heroku CLI",
-  "version": "0.5.0",
+  "version": "0.6.0",