add parallel execution as test_par.py:

test_par.py

@@ -0,0 +1,53 @@
+#! /usr/bin/env python3
+
+import subprocess
+import concurrent.futures
+import argparse
+import multiprocessing as mp
+from flows import api, load_config
+
+if __name__ == '__main__':
+	parser = argparse.ArgumentParser(description='Run photometry pipeline in parallel')
+	parser.add_argument('--fileid', type=int, default=None)
+	parser.add_argument('--targetid', type=int, default=2)
+	parser.add_argument('--filter', type=str, default='all', choices=['all'])
+	parser.add_argument('--parallel','-p',type=int,default=1)
+	args = parser.parse_args()
+
+	config = load_config()
+	output_folder_root = config.get('photometry', 'output', fallback='.')
+
+	if args.fileid is not None:
+		# Run the specified fileid:
+		fileids = [args.fileid]
+	else:
+		# Ask the API for a list of fileids which are yet to be processed:
+		fileids = api.get_datafiles(targetid=args.targetid, filt=args.filter)
+		print(fileids)
+
+
+	#Parallelization
+	cpu_use=args.parallel
+	if cpu_use> mp.cpu_count():
+		print(str(cpu_use)+' is greater than cpu count, '+ 
+		'using max cpu count of '+str(mp.cpu_count)+' instead.')
+		cpu_use=mp.cpu_count()
+	if cpu_use<1:
+		cpu_use=1
+
+
+	files=fileids
+	args_dict = {}
+	for f in files:
+		cmd = 'python run_photometry.py --fileid={} '.format(f)
+		args_dict[f]=(cmd, 'shell=True')
+	futures_d={}
+	with concurrent.futures.ThreadPoolExecutor(max_workers=cpu_use) as executor:
+		for fid in args_dict:
+			args = args_dict[fid] 
+			futures_d[executor.submit(subprocess.run, args, shell=True)]=fid
+
+		for future in concurrent.futures.as_completed(futures_d):
+			f=futures_d[future]
+			if future.exception() is not None:
+				print('%r generated an exception: %s' % (f, future.exception()))