harleyholt’s gists

harleyholt / testing.json

Created February 4, 2022 23:14

	{
	"$schema": "http://json-schema.org/draft-07/schema#",
	"additionalProperties": false,
	"properties": {
	"externalId": {
	"description": "The externalId passed to the service by the caller, if one was provided.",
	"type": "string"
	},
	"id": {
	"description": "A unique Id generated by C-SATS.",

harleyholt / bulk-task-graph.py

Created September 19, 2014 22:25

bulk-task-graph.py

	import json
	from bigdoor.task.worker.bulk import add_resource_identifier, get_tasks, order_tasks
	import networkx as nx

	colors = ['red', 'blue', 'green', 'yellow', 'violet']
	task_type_colors = {}

	def run():

	data = json.loads(open('reward.json').read())

harleyholt / select-from-redshift.sql

Created March 17, 2014 23:39

Retrieves the data we want to get from RedShift.

	select
	row_type_cd,
	row_sub_type_cd,
	date_pst,
	publisher_id,
	site_id,
	case
	when user_type_cd = 'C' then 'control'
	when user_type_cd = 'T' then 'test'
	else 'other'

harleyholt / example-if-template.html

Created October 20, 2011 22:24

Example of Knockout Conditionally Rendered Template

	<!-- Example one shows the most verbose way of specifying a template that is only rendered if someObject is defined in the current view model

	This information was culled from https://github.com/SteveSanderson/knockout/blob/1.3/src/binding/defaultBindings.js#L445
	-->
	<script type="text/html" id="sub-example-one">
	<h2 data-bind="text: title"></h2>
	<p data-bine="text: description"></p>
	</script>

	<script type="text/html" id="example-one">

harleyholt / msyq-dump-specific-tables.sh

Created October 14, 2011 21:20

MySQL Dump Specific Tables and Stored Procs

mysqldump <database-name> [<table1> ... <tableN>] --routines > output.sql

harleyholt / django-stored-procedure.py

Created October 11, 2011 01:59

Django Stored Procedure

	from django.db import connections

	arguments = ('one', 'two', 'three', '...')

	cursor = connections['example-db'].cursor()
	try:
	cursor.callproc('proc_name', arguments)
	results = cursor.fetchall()
	finally:
	cursor.close()

harleyholt / data-api-summary-return.js

Created September 26, 2011 17:58

Example Data API Summary Return Object

	/**
	* Example of a summary only data API return. The returned information contains the aggregate information.
	* The site value is the site that we are getting information for (it will not exist if the results are not filtered
	* to a specific site)
	* The time value contains the start and end of the sampling period while the resolution tells the client what the aggregate
	* period is for the client
	*/
	{
	site: example.com,
	time: {

harleyholt / data-api-return.js

Created September 23, 2011 01:03

Example Data API Return Object

	/**
	* One way of specifying the analytic endpoint data.
	* In this scheme, we can have multiple parallel time series returned.
	* Includes a summary object which allows us to return aggregated data for the series.
	* Includes a meta object which has information about the series (such as the units of measurement).
	*
	* The time series is specified as an array of values. This series can not be missing any values because it is in
	* parallel to the generated time values. The API must take care of filling in any missing values of the time
	* series before returning it.
	*

harleyholt / gearman-worker-example.py

Created September 21, 2011 22:38

Example Python Gearman Worker (for python Gearman 2.0)

	from gearman import GearmanWorker

	# The function that will do the work
	def echoer(worker, job):
	print job.data
	return job.data

	# Establish a connection with the job server on localhost--like the client,
	# multiple job servers can be used.
	worker = GearmanWorker(['127.0.0.1'])

harleyholt / gearman-client-example.py

Created September 21, 2011 22:30

Example Python Gearman Client (for python Gearman 2.0)

	from gearman import GearmanClient

	# create a client that will connect to the Gearman server running on
	# localhost. The array allows you to specify a set of job servers.
	client = GearmanClient(['127.0.0.1'])

	# Submit a synchronous job request to the job server and store the
	# result.
	# This runs the "echo" job on the argument "foo"
	result = client.submit_job('echo', 'foo')

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