Adams Rescale

A simple python api and demo for running adams jobs on Rescale

Features

• Submit jobs
• Monitor jobs
• Download results

Example Usage

adams_rescale/demo.py

Lines 1 to 43 in 6c22521

	import os
	import time
	import json
	from rescalesim.rescalesim import Session
	# Get the authorization token key
	with open('config.json') as fid:
	config = json.load(fid)
	acf_file = os.path.join('rescale_analysis.acf')
	adm_file = os.path.join('rescale_analysis.adm')
	# Create a rescale session
	session = Session(config['api_token'], config['licensing'])
	job_results = session.get_job_details('CjmxEc')
	core_types = session.get_core_types()
	# job_id = 'xbMTEc'
	# Create the job
	job_id = session.create_adams_solver_job('api_test_job', acf_file=acf_file, adm_file=adm_file)
	# Submit the job
	response = session.submit_job(job_id)
	# Monitor job status
	while True:
	status = session.get_job_status(job_id)[0]['status']
	print(status)
	if status == 'Completed':
	break
	time.sleep(5)
	# List the results
	results = session.list_job_results(job_id)
	# Download the results files
	os.makedirs(os.path.join('downloaded_results', job_id))
	for file in session.list_job_results_files(job_id):
	(filename, file_id) = [(k, v) for k,v in file.items()][0]
	dst = os.path.join('downloaded_results', job_id, filename)
	session.download_file(file_id, dst)