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gws.py
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gws.py
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#!/usr/bin/env python
import os, time, csv, signal, pandas, string, random, shutil, subprocess, tarfile, json, itertools, datetime, flask
import numpy as np
import celery.signals
from flask import Flask, request, redirect, url_for, jsonify
from distutils.dir_util import copy_tree
from celery import Celery
from pymongo import MongoClient
from gwsconfig import gwsconf
from bson.json_util import dumps
# global variables and paths
base_working_path = gwsconf['base_working_path']
base_upload_path = os.path.join(base_working_path, 'Experiments')
base_graple_path = os.path.join(base_working_path, 'GRAPLE_SCRIPTS')
base_filter_path = os.path.join(base_working_path, 'Filters')
base_result_path = os.path.join(base_working_path, 'Results')
app = Flask(__name__, static_url_path = '/downloadFile', static_folder = base_result_path)
app.config['CELERY_BROKER_URL'] = 'amqp://'
app.config['CELERY_ACCEPT_CONTENT'] = ['json']
app.config['CELERY_TASK_SERIALIZER'] = 'json'
app.config['CELERY_RESULT_SERIALIZER'] = 'json'
#app.config['CELERY_RESULT_BACKEND'] = 'ampq'
celeryob = Celery(app.name, broker = app.config['CELERY_BROKER_URL'])
celeryob.conf.update(app.config)
db_client = MongoClient(connect = False) # running at default port
db = db_client[gwsconf['graple_db_name']]
collection = db[gwsconf['graple_coll_name']]
apicoll = db[gwsconf['api_coll_name']]
# mongodb document
# { 'key': the uid of the experiment
# 'status': see status codes below
# 'payload': list with integers representing condor cluster IDs of experiment jobs
# 'submitted': datetime.datetime object representing time of submission (localtime)
# 'completed': datetime.datetime object representing time of completion
# 'expiry': datetime.datetime object representing when to delete the results
# 'progress': float representing progress of experiment
# 'retention': how long to keep files after completion
# 'apikey': the api key used to submit the experiment
# }
# Description of mongodb document 'status' codes
# 1 user submitted experiment - GWS sets before returning to user on submit
# 2 condor submission done - GWS doesn't modify files after setting 2 - only condor places results
# 3 job completed and results consolidated - when all jobs are complete, EMS consolidates results, sets expiry and places output.tar.gz
# 4 job results downloaded - GWS sets 3 to 4 on first download; also sets expiry time if retention == 0
# 5 to delete - GWS sets on Abort. EMS executes condor_rm and sets to 6
# 6 job deleted/expired - FMS sets after deleting the experiment files
@celery.signals.worker_process_init.connect()
def seed_rand(**_): # makes sure different celery workers generate different random numbers
np.random.seed()
@celeryob.task
def doTask(task, rscript = None):
func_dict = { # function pointers are not JSON serializable in celery. use a reference dict instead of eval for safety
'handle_batch_job':handle_batch_job,
'generate_sweep_job':generate_sweep_job,
'generate_special_job':generate_special_job }
if task[0] in func_dict:
func_dict[task[0]](task, rscript)
def api_keygen(size = 64, chars = string.ascii_uppercase + string.digits):
random.seed()
bid = ''.join(random.choice(chars) for _ in range(size))
while apicoll.find_one({'key': bid}) != None:
bid = ''.join(random.choice(chars) for _ in range(size))
return bid
def classid_gen(size = 6, chars = string.ascii_uppercase + string.digits):
random.seed()
bid = ''.join(random.choice(chars) for _ in range(size))
while apicoll.find_one({'class': { '$all': [bid] }}) != None:
bid = ''.join(random.choice(chars) for _ in range(size))
return bid
def batch_id_generator(size = 40, chars = string.ascii_uppercase + string.digits):
bid = ''.join(random.choice(chars) for _ in range(size))
while collection.find_one({'key':bid}) != None:
bid = ''.join(random.choice(chars) for _ in range(size))
return bid
def ret_distribution_samples(distribution,samples,parameters):
parameters = map(float,parameters)
if distribution == 'uniform':
return np.random.uniform(parameters[0],parameters[1],samples).tolist()
elif distribution == 'binomial':
return np.random.binomial(parameters[0],parameters[1],samples).tolist()
elif distribution == 'normal':
return np.random.normal(parameters[0],parameters[1],samples).tolist()
elif distribution == 'poisson':
return np.random.poisson(parameters[0],parameters[1]).tolist()
elif distribution == 'linear':
return np.linspace(parameters[0],parameters[1],samples).tolist()
def add_ppfilter(rscript, exp_root_path):
global base_filter_path
if(rscript):
scripts_dir = os.path.join(exp_root_path, 'Scripts')
rscriptfn = os.path.join(base_filter_path, rscript)
if os.path.isfile(rscriptfn):
shutil.copy(rscriptfn, os.path.join(scripts_dir, 'PostProcessFilter.R'))
jsonfn = os.path.splitext(rscriptfn)[0] + '.json'
if os.path.isfile(jsonfn):
with open(jsonfn) as json_file:
ppopts = json.load(json_file)
if ppopts['Consolidate_Compatible']:
shutil.move(os.path.join(exp_root_path, ppopts['Consolidate_Script']), os.path.join(exp_root_path, 'Results'))
filterParamsDir = os.path.join(exp_root_path, 'base_folder', 'FilterParams')
if(os.path.exists(filterParamsDir)):
shutil.copy(os.path.join(filterParamsDir, 'FilterParams.json'), scripts_dir)
def execute_graple(topdir, SimsPerJob):
uid = os.path.basename(topdir)
dbdoc = collection.find_one({'key':uid})
if dbdoc['status'] == 1: # dont submit if aborted
submit_response_string=subprocess.check_output(['python', os.path.join(topdir, 'SubmitGrapleBatch.py'), str(SimsPerJob)])
submitIDList=[]
for i in submit_response_string.split('\n'):
if 'cluster' in i:
submitIDList.append(i.split(' ')[5].split('.')[0])
update_doc = {'payload':submitIDList, 'status':2}
collection.update_one({'key':uid}, {'$set':update_doc})
def handle_batch_job(task, rscript):
global base_graple_path, base_filter_path
topdir = task[1]
filename = task[2]
sims_per_job = task[3]
copy_tree(base_graple_path, topdir)
subprocess.call(['python' , os.path.join(topdir, 'CreateWorkingFolders.py')])
inputfile = os.path.join(topdir, filename)
subprocess.call(['tar','xzf', inputfile, '-C', os.path.join(topdir, 'Sims')])
os.remove(inputfile)
if os.path.isfile(os.path.join(topdir, 'Sims', '.keep_files')):
shutil.move(os.path.join(topdir, 'Sims', '.keep_files'), os.path.join(topdir, '.keep_files'))
if(rscript):
scripts_dir = os.path.join(topdir, 'Scripts')
rscriptfn = os.path.join(base_filter_path, rscript)
if os.path.isfile(rscriptfn):
shutil.copy(rscriptfn, os.path.join(scripts_dir, 'PostProcessFilter.R'))
filterParamsDir = os.path.join(topdir, 'Sims', 'FilterParams')
if(os.path.exists(filterParamsDir)):
shutil.copy(os.path.join(filterParamsDir, 'FilterParams.json'), os.path.join(topdir,'Scripts'))
shutil.rmtree(filterParamsDir)
execute_graple(topdir, sims_per_job)
def generate_sweep_job(task, rscript):
global base_filter_path, base_graple_path
exp_root_path = task[1]
filename = task[2]
sims_per_job = task[3]
copy_tree(base_graple_path, exp_root_path)
subprocess.call(['python', os.path.join(exp_root_path, 'CreateWorkingFolders.py')])
base_folder = os.path.join(exp_root_path, 'base_folder')
subprocess.call(['tar','xfz', os.path.join(base_folder, filename), '-C', base_folder])
os.remove(os.path.join(base_folder, filename))
if os.path.isfile(os.path.join(base_folder, '.keep_files')):
shutil.move(os.path.join(base_folder, '.keep_files'), os.path.join(exp_root_path, '.keep_files'))
with open(os.path.join(base_folder, 'job_desc.json')) as data_file:
jsondata = json.load(data_file)
add_ppfilter(rscript, exp_root_path)
summary = []
columns = {}
noOfFiles = len(jsondata['ExpFiles'])
base_iterations = 1
for i in range(0, noOfFiles):
base_file = jsondata['ExpFiles'][i]['driverfile']
variables = jsondata['ExpFiles'][i]['variables'][0]
columns[base_file] = {}
for key, value in variables.iteritems():
variable = key
var_distribution = ''
var_start_value = 0
var_end_value = 0
var_operation = ''
var_steps = 0
if('distribution' in value):
var_distribution = value['distribution']
if('operation' in value):
var_operation = value['operation']
if('start' in value):
var_start_value = value['start']
if('end' in value):
var_end_value = value['end']
if('steps' in value):
var_steps = value['steps']
var_steps += 1
base_iterations *= var_steps
columns[base_file][variable]=[ret_distribution_samples(var_distribution,var_steps,[var_start_value, var_end_value])]
columns[base_file][variable].append(var_operation)
columns[base_file][variable].append(var_distribution)
columns[base_file][variable].append(var_steps)
Sims_dir = os.path.join(exp_root_path, 'Sims')
varcomb = []
numcomb = []
sim_no = 1
for jsonfilename, variables in columns.iteritems():
for variable, stepValues in variables.iteritems():
varcomb.append(jsonfilename +',' + variable + ',' + stepValues[2] + ',' + stepValues[1])
numcomb.append(stepValues[0])
iterprod = list(itertools.product(*numcomb))
for cc in range(0, len(iterprod), sims_per_job):
new_dir=os.path.join(Sims_dir, 'Sim' + str(sim_no))
shutil.copytree(base_folder, new_dir)
to_pack = [varcomb, iterprod[cc:cc+sims_per_job]]
with open(os.path.join(new_dir, 'generate.json'), 'w') as pickf:
json.dump(to_pack, pickf)
for c in range(len(to_pack[1])):
row = ['Sim' + str(sim_no) + '_' + str(c+1)]
for i in range(len(varcomb)):
var_list = varcomb[i].split(',')
base_file = var_list[0]
field = var_list[1]
operation = var_list[3]
row.append(field)
row.append(columns[base_file][field][2])
row.append(columns[base_file][field][1])
row.append(str(to_pack[1][c][i]))
summary.append(row)
sim_no += 1
# write summary of modifications to a file.
result_summary = open(os.path.join(exp_root_path, 'Results', 'sim_summary.csv'),'wb')
wr = csv.writer(result_summary,dialect='excel')
for row in summary:
wr.writerow(row)
result_summary.close()
# execute graple job
execute_graple(exp_root_path, 1) # for a generate job, the bundled sims per condor job is 1, worker expands the single job into many as per sims_per_job
return
def generate_special_job(task, rscript):
global base_filter_path, base_graple_path
exp_root_path = task[1]
filename = task[2]
sims_per_job = task[3]
copy_tree(base_graple_path, exp_root_path)
subprocess.call(['python', os.path.join(exp_root_path, 'CreateWorkingFolders.py')])
base_folder = os.path.join(exp_root_path, 'base_folder')
subprocess.call(['tar','xfz', os.path.join(base_folder, filename), '-C', base_folder])
os.remove(os.path.join(base_folder, filename))
if os.path.isfile(os.path.join(base_folder, '.keep_files')):
shutil.move(os.path.join(base_folder, '.keep_files'), os.path.join(exp_root_path, '.keep_files'))
with open(os.path.join(base_folder, 'job_desc.json')) as data_file:
jsondata = json.load(data_file)
add_ppfilter(rscript, exp_root_path)
summary = []
columns = {}
noOfFiles = len(jsondata['ExpFiles'])
base_iterations = jsondata['num_iterations']
for i in range(0, noOfFiles):
base_file = jsondata['ExpFiles'][i]['driverfile']
variables = jsondata['ExpFiles'][i]['variables'][0]
columns[base_file] = {}
for key, value in variables.iteritems():
variable = key
var_distribution = ''
var_start_value = 0
var_end_value = 0
var_operation = ''
if('distribution' in value):
var_distribution = value['distribution']
if('operation' in value):
var_operation = value['operation']
if('start' in value):
var_start_value = value['start']
if('end' in value):
var_end_value = value['end']
columns[base_file][variable]=[ret_distribution_samples(var_distribution,base_iterations,[var_start_value, var_end_value])]
columns[base_file][variable].append(var_operation)
columns[base_file][variable].append(var_distribution)
Sims_dir = os.path.join(exp_root_path, 'Sims')
varcomb = []
numcomb = []
sim_no = 1
for jsonfilename, variables in columns.iteritems():
for variable, stepValues in variables.iteritems():
varcomb.append(jsonfilename + ',' + variable + ',' + stepValues[2] + ',' + stepValues[1])
numcomb.append(stepValues[0])
iterprod = list(zip(*numcomb))
for cc in range(0, len(iterprod), sims_per_job):
new_dir = os.path.join(Sims_dir, 'Sim' + str(sim_no))
shutil.copytree(base_folder, new_dir)
to_pack = [varcomb, iterprod[cc:cc+sims_per_job]]
with open(os.path.join(new_dir, 'generate.json'), 'w') as pickf:
json.dump(to_pack, pickf)
for c in range(len(to_pack[1])):
row = ['Sim' + str(sim_no) + '_' + str(c+1)]
for i in range(len(varcomb)):
var_list = varcomb[i].split(',')
base_file = var_list[0]
field = var_list[1]
operation = var_list[3]
row.append(field)
row.append(columns[base_file][field][2])
row.append(columns[base_file][field][1])
row.append(str(to_pack[1][c][i]))
summary.append(row)
sim_no += 1
# write summary of modifications to a file.
result_summary = open(os.path.join(exp_root_path, 'Results', 'sim_summary.csv'),'wb')
wr = csv.writer(result_summary,dialect='excel')
for row in summary:
wr.writerow(row)
result_summary.close()
# execute graple job
execute_graple(exp_root_path, 1)
return
def check_request():
global base_filter_path
response = {'errors' : '', 'warnings': ''}
if not 'files' in request.files:
response['errors'] += 'Did not receive experiment files \n'
if 'apikey' in request.form:
apikey = request.form['apikey']
if apikey == '0':
response['warnings'] += 'No API key provided \n'
if apicoll.find_one({'key' : apikey}) == None:
response['errors'] += 'Invalid API key \n'
if 'classid' in request.form:
classid = request.form['classid']
if apicoll.find_one({'class': { '$all': [classid] }}) == None:
response['errors'] += 'Invalid class ID \n'
else:
classid = ''
if 'username' in request.form:
username = request.form['username']
else:
username = ''
if 'filter' in request.form:
filtername = request.form['filter'] + '.R'
if not os.path.isdir(base_filter_path) or not filtername in os.listdir(base_filter_path):
response['errors'] += 'Invalid Filter name \n'
else:
filtername = None
if 'simsperjob' in request.form:
if not request.form['simsperjob'].isdigit():
response['errors'] += 'simsperjob not an integer \n'
else:
sims_per_job = int(request.form['simsperjob'])
else:
sims_per_job = gwsconf['def_sims_per_job']
if 'retention' in request.form:
if not request.form['retention'].isdigit():
response['error'] += 'retention is not an integer \n'
else:
retention = int(request.form['retention'])
else:
retention = 10
if 'expname' in request.form:
expname = str(request.form['expname'])[:50]
else:
expname = ''
email = ''
if 'email' in request.form:
if len(request.form['email']) != 0:
email = str(request.form['email'])[:50]
elif 'apikey' in request.form:
found = apicoll.find_one({'key' : apikey})
if found != None and 'email' in found:
email = found['email']
return response, apikey, filtername, sims_per_job, retention, expname, email, classid, username
@app.route('/GrapleAddUser', methods= ['POST'])
def create_api_key():
email = ''
name = ''
response = {'errors':'', 'warnings':''}
if 'email' in request.form:
if len(request.form['email']) != 0:
email = str(request.form['email'])[:50]
if apicoll.find_one({'email':email}) != None:
response['errors'] += 'Email id already exists! \n'
return jsonify(response)
if 'username' in request.form:
if len(request.form['username']) != 0:
name = str(request.form['username'])[:50]
apikey = api_keygen()
insdoc = {'key': apikey,'name':name, 'email':email, 'tz':'US/Eastern', 'debug':False, 'role': 0}
print "Inserted at ID:", apicoll.insert_one(insdoc).inserted_id
response['apikey'] = apikey
return jsonify(response)
@app.route('/GrapleCreateClass', methods= ['POST'])
def create_new_class():
response = {'errors':'', 'warnings':''}
print("Inside the method")
if ('apikey' in request.form) and len(request.form['apikey']) != 0:
#email = request.form['email']
apikey = request.form['apikey']
if 'email' in request.form and len(request.form['email']) != 0:
email = request.form['email']
if apicoll.find({'email': email, 'key': apikey, 'role': {"$in": [1, 2]}}) != None :
classid = classid_gen()
apicoll.update_one({'email': email, 'key': apikey}, { "$push" : { "class" : classid }})
response['classid'] = classid
return jsonify(response)
response['errors'] = "Invalid EmailId/Key combination or you don't have the permission"
return jsonify(response)
@app.route('/GetClassExperiments', methods= ['POST'])
def get_experiments_of_class():
response = {'errors':'', 'warnings':''}
if 'classid' in request.form and 'apikey' in request.form:
if len(request.form['classid']) != 0 and len(request.form['apikey']) != 0 :
classid = str(request.form['classid'])
apikey = str(request.form['apikey'])
if apicoll.find_one({'classid': classid, 'key': apikey}) != None :
query = {'classid': classid}
dbdoc = collection.find(query)
if dbdoc == None:
response['errors'] += 'ClassId ' + classid + ' not found in database'
else:
return dumps(dbdoc)
else:
response['errors'] += 'ClassID/APIkey is invalid!'
return jsonify(response)
@app.route('/GetAPIExperiments', methods= ['POST'])
def get_experiments_of_apikey():
response = {'errors':'', 'warnings':''}
if 'apikey' in request.form:
if len(request.form['apikey']) != 0 :
apikey = str(request.form['apikey'])
print(apikey)
if apicoll.find_one({'key': apikey}) != None :
print("Found a valid api key!")
query = {'apikey':apikey}
if 'count' in request.form and len(request.form['count']) != 0 :
count = int(request.form['count'])
dbdoc = collection.find(query).sort({'$natural':-1}).limit(count)
else:
print("FOund experiments with the given API key")
dbdoc = collection.find(query)
if dbdoc == None:
response['errors'] += 'No experiments with this APIKey!'
else:
return dumps(dbdoc)
else:
response['errors'] += 'APIkey is invalid!'
return jsonify(response)
@app.route('/GrapleRun', methods= ['POST'])
def batch_job():
global base_upload_path
response, apikey, filtername, sims_per_job, retention, expname, email, classid, username = check_request()
if len(response['errors']) > 0:
return jsonify(response)
f = request.files['files']
filename = f.filename
response['uid'] = batch_id_generator()
exp_root_path = os.path.join(base_upload_path, response['uid'])
os.mkdir(exp_root_path)
f.save(os.path.join(exp_root_path, filename))
task_desc = ['handle_batch_job', exp_root_path, filename, sims_per_job]
collection.insert_one({'key':response['uid'], 'submitted':datetime.datetime.now(), 'status':1, 'progress':0.0, 'retention':retention, 'expname':expname, 'email':email, 'apikey':apikey, 'classid':classid})
doTask.delay(task_desc, filtername)
return jsonify(response)
@app.route('/GrapleRunLinearSweep', methods= ['POST'])
def linear_sweep():
global base_upload_path
response, apikey, filtername, sims_per_job, retention, expname, email, classid, username = check_request()
if len(response['errors']) > 0:
return jsonify(response)
f = request.files['files']
filename = f.filename
response['uid'] = batch_id_generator()
exp_root_path = os.path.join(base_upload_path, response['uid'])
os.mkdir(exp_root_path)
base_folder = os.path.join(exp_root_path, 'base_folder')
os.mkdir(base_folder)
f.save(os.path.join(base_folder, filename))
task_desc = ['generate_sweep_job', exp_root_path, filename, sims_per_job]
collection.insert_one({'key':response['uid'], 'submitted':datetime.datetime.now(), 'status':1, 'progress':0.0, 'retention':retention, 'expname':expname, 'email':email, 'apikey':apikey})
doTask.delay(task_desc, filtername)
response['status'] = 'Job submitted to task queue'
return jsonify(response)
@app.route('/GrapleRunMetSample', methods= ['POST'])
def special_batch():
global base_upload_path
response, apikey, filtername, sims_per_job, retention, expname, email, classid, username = check_request()
if len(response['errors']) > 0:
return jsonify(response)
f = request.files['files']
filename = f.filename
response['uid'] = batch_id_generator()
exp_root_path = os.path.join(base_upload_path, response['uid'])
os.mkdir(exp_root_path)
base_folder = os.path.join(exp_root_path, 'base_folder')
os.mkdir(base_folder)
f.save(os.path.join(base_folder, filename))
task_desc = ['generate_special_job', exp_root_path, filename, sims_per_job]
collection.insert_one({'key':response['uid'], 'submitted':datetime.datetime.now(), 'status':1, 'progress':0.0, 'retention':retention, 'expname':expname, 'email':email, 'apikey':apikey})
doTask.delay(task_desc, filtername)
response['status'] = 'Job submitted to task queue'
return jsonify(response)
@app.route('/GrapleRunStatus/<uid>', methods=['GET'])
def check_status(uid):
response = {'errors':'', 'warnings':''}
if 'apikey' in request.args:
apikey = request.args['apikey']
if apikey == '0':
response['warnings'] += 'No API key provided \n'
else:
response['errors'] += 'No API key provided \n'
if len(response['errors']) > 0:
return jsonify(response)
query = {'key':uid, 'apikey':apikey}
dbdoc = collection.find_one(query)
if dbdoc == None:
response['errors'] += 'JobID ' + uid + ' not found in database'
if len(response['errors']) > 0:
return jsonify(response)
response['curr_status'] = str(dbdoc['progress']) + '% complete'
return jsonify(response)
@app.route('/GrapleEnd/<uid>', methods=['GET'])
def abort_job(uid):
response = {'errors':'', 'warnings':''}
if 'apikey' in request.args:
apikey = request.args['apikey']
if apikey == '0':
response['warnings'] += 'No API key provided \n'
else:
response['errors'] += 'No API key provided \n'
query = {'key':uid, 'apikey':apikey}
dbdoc = collection.find_one(query)
if dbdoc == None:
response['errors'] += 'JobID ' + uid + ' not found in database'
elif dbdoc['status'] == 5:
response['errors'] += 'Job already marked for removal'
else:
update_doc = {'status':5}
collection.update_one({'key':uid}, {'$set':update_doc})
response['curr_status'] = 'All jobs marked for removal'
return jsonify(response)
@app.route('/GrapleRunResults/<uid>', methods=['GET'])
def return_consolidated_output(uid):
global base_upload_path
response = {'errors':'', 'warnings':''}
if 'apikey' in request.args:
apikey = request.args['apikey']
if apikey == '0':
response['warnings'] += 'No API key provided \n'
else:
response['errors'] += 'No API key provided \n'
if len(response['errors']) > 0:
return jsonify(response)
query = {'key':uid, 'apikey':apikey}
dbdoc = collection.find_one(query)
if dbdoc == None:
response['errors'] = 'JobID ' + uid + ' not found in database'
elif dbdoc['progress'] != 100 or dbdoc['status'] < 3:
response['errors'] = str(dbdoc['progress']) + '% complete. Job under processing, please try after some time'
elif dbdoc['status'] > 4: # job aborted or expired
response['errors'] = 'Sorry, results not available anymore. Job expired'
if len(response['errors']) > 0:
return jsonify(response)
response['output_url'] = url_for('static', filename = os.path.join(uid, 'output.tar.gz'))
response['status'] = 'success'
if dbdoc['status'] == 3: # need to update only once
update_doc = {'status':4}
if dbdoc['retention'] == 0:
update_doc['expiry'] = datetime.datetime.now() + gwsconf['retention_after_dl']
collection.update_one({'key':uid}, {'$set':update_doc}) # not yet downloaded though. download can be in progress.
return jsonify(response)
@app.route('/service_status', methods=['GET'])
def return_service_status():
service_status = {}
service_status['status']='I am alive, and at your service. '
localtime = time.asctime( time.localtime(time.time()) )
service_status['time']=localtime
return jsonify(service_status)
@app.route('/GrapleListFilters', methods=['GET'])
def get_PPOLibrary_scripts():
global base_graple_path, base_filter_path
filesList = []
if(os.path.exists(base_filter_path)):
filesList = [os.path.splitext(filtername)[0] for filtername in os.listdir(base_filter_path)]
return json.dumps(filesList)
@app.route('/GrapleGetVersion', methods=['GET'])
def get_version():
compatibleGRAPLEVersions = []
#code for getting the compatible versions of GRAPLEr
compatibleGRAPLEVersions.append('3.1.0')
return json.dumps(compatibleGRAPLEVersions)
@app.route('/', methods=['GET'])
def index_redirect():
return redirect('http://www.graple.org', code = 302)
if __name__ == '__main__':
app.debug = gwsconf['debug']
app.run(host='0.0.0.0')