+import requests

+import sys

+

+URL = "http://http://biosig.unimelb.edu.au/tox_csm/api/predict"

+

+def main(args):   

+    params = {

+        "email_address": args.email_address,

+        "pred_type": args.pred_type

+    }

+    smiles_to_submit = {"sdf": open(args.sdf,"r")}

+

+    req = requests.post(URL, data=params, files=smiles_to_submit)

+    print(req.json())

+    return True

+

+if __name__ == "__main__":

+    parser = argparse.ArgumentParser(description='Job submission for a single SMILES')

+    parser.add_argument('--sdf',  dest='sdf', type=str, help='SDF containing several molecules.', required=False, default=None)    

+    parser.add_argument('--pred_type',  dest='pred_type', type=str, help='prediction mode: all (default), organic, environmental, human_dose_response, nuclear_response, stress_response', required=False, default="all") 

+    parser.add_argument('--email_address',  dest='email_address', type=str, help='Single SMILES String', required=False, default="")

+

+    args = parser.parse_args()

+    if args.smiles_file == None:

+        print('usage: python toxcsm_api_sdf_post.py --sdf SDF [--pred_type PREDICTION_TYPE] [--email_address YOUR_EMAIL]')

+        sys.exit(1)

+