peterlyeung’s gists

peterlyeung / gist:38e9898e9ba800806fb3fda87232ade1

Created February 2, 2026 23:52

Call LSC4CE Affiliation batch process within lsc4ce namespace

	Map<String, Object> paramMap = new Map<String, Object>{
	'batchName' => 'AffiliationDataLoadProcessorBatch',
	'batchSize' => 200,
	'isCreatedByCurrentUser' => false,
	'createdAfter' => Datetime.now().addDays(-30),
	'whereClause' => ''
	};
	Boolean result = (Boolean)(lsc4ce.LifeScienceApi.getInstance(lsc4ce.LifeScienceApi.Command.AffiliationBatchJob).execute(paramMap));
	System.debug('Result: ' + result);

peterlyeung / sfdc.py

Created July 18, 2018 02:59

Lambda function to copy files from a SFTP server and add it to Salesforce as an attachment

	import paramiko
	import requests
	import base64
	import json
	from simple_salesforce import Salesforce

	#---------------------------------
	# FTP portion
	#---------------------------------

peterlyeung / Rekognition.py

Created March 16, 2018 03:18

Use CV to grab iPhone mirrored on screen to get screenshots and then send to Rekognition using the boto library to train engine.

	#----------------------------------------------------------------------------_
	# This script can be ran in 2 modes:
	# python play.py train
	# or
	# python play.py Run
	#
	# Use the training mode to train the AI.
	# Once the AI has been trained, then run it in the play mode. The matching screenshot
	# from the learning mode will be displayed on screen.
	#-----------------------------------------------------------------------------

peterlyeung / Connecting Jupyter to Salesforce for Data Analysis.ipynb

Created November 14, 2017 02:52

Connecting Jupyter Notebook to Salesforce

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peterlyeung / reportfields.py

Created April 1, 2015 16:46

Python script to parse SFDC metadata on reports to determine which fields are being used.

	#!/usr/bin/python
	#---------------------------------------------------------------------------
	# This python script traverses the reports directory of the SFDC metadata.
	# It goes through each directory and reports, and pulls out fields
	# used in the report. A file called reporting_fields_used.csv is generated.
	#---------------------------------------------------------------------------
	import os
	import sys
	import xml.etree.ElementTree as ET
	from StringIO import StringIO