mmichealjroberts

<template>
  <div>

    <FilePond
      v-bind:max-files="4"
      v-bind:allow-multiple="true"
      v-bind:accepted-file-types="allowedFiletypes"
      v-bind:server="server.process"
      v-bind:files="files"
      v-on:init="handleFilePondInit"

mmichealjroberts

from django.db import connection
from django.core.management.base import BaseCommand

from django.conf import settings

class Command(BaseCommand):
    help = 'Displays The Currently Connected DB Settings'

    def handle(self, *args, **kwargs):

mmichealjroberts

import six
import uuid
import base64

from django.conf import settings
from django.core.files import File
from django.core.files.base import ContentFile

from rest_framework import serializers

mmichealjroberts

// Source: http://stackoverflow.com/questions/16491758/remove-objects-from-array-by-object-property

var arr = [
    {
        id: 1,
        property: "Property",
    },
    {
        id:2,
        property: "Property",

mmichealjroberts

const PRODUCTION = process.env.NODE_ENV === "production";

if (PRODUCTION) {
  Vue.config.devtools = false
  Vue.config.debug = false
  Vue.config.silent = true
}

mmichealjroberts

    db = {}

    db['ENGINE'] = 'django.db.backends.postgresql'
    db['OPTIONS'] = {'autocommit': True}
    db['NAME'] = my_model_db['database']
    db['PASSWORD'] = my_model_db['password']
    db['USER'] = my_model_db['user']
    db['HOST'] = my_model_db['host']

    logger.info("Connecting to database {db} on {host}".format(db=source_db['NAME'], host=source_db['HOST']))

mmichealjroberts

def serialize_dataset_to_doi(dataset: DatasetStorePointer) -> Dict[str, Any]:
    return {
      "data": {
        "type": "dois",
        "attributes": {
            "doi": dataset.doi,
            "prefix": settings.DATACITE['DOI_PREFIX'],
            "suffix": dataset.doi_suffix,
            "event": "publish",
            "creators": dataset.creators if dataset.creators else [],

mmichealjroberts

{"data": {"type": "dois", "attributes": {"doi": "10.80519/asencis.4302-4ae4", "prefix": "10.80519", "suffix": "asencis.4302-4ae4", "event": "publish", "creators": [{"name": "Roberts, Michael", "nameType": "Personal", "givenName": "Michael", "familyName": "Roberts", "nameIdentifiers": [{"nameIdentifier": "https://orcid.org/0000-0001-6203-1986", "nameIdentifierScheme": "ORCID"}]}], "titles": [{"title": "HadCRUT4 Land & Ocean Temperature Measurements"}], "publisher": "asencis", "container": {}, "publicationYear": 2020, "subjects": [], "contributors": [], "types": {"resourceTypeGeneral": "Dataset"}, "relatedIdentifiers": [], "sizes": [21510268], "formats": ["application/x-netcdf"], "descriptions": [{"description": "HadCRUT4 is a global temperature dataset, providing gridded temperature anomalies across the world as well as averages for the hemispheres and the globe as a whole. CRUTEM4 and HadSST3 are the land and ocean components of this overall dataset, respectively.", "descriptionType": "Abstract"}, {"descripti