X-Git-Url: https://zdv2.bktei.com/gitweb/BK-2020-03.git/blobdiff_plain/787f6bbd0dea6ccc684ad64ee51031f19a3c917f..37bc30fd8a2e3e3ee3a1dadcfad6fecc9345a53c:/unitproc/python/sleepRand.py

diff --git a/unitproc/python/sleepRand.py b/unitproc/python/sleepRand.py
index 3917506..016e9f3 100755
--- a/unitproc/python/sleepRand.py
+++ b/unitproc/python/sleepRand.py
@@ -1,10 +1,10 @@
 #!/usr/bin/env python3
 # Desc: Pauses a random amount of time. Random distribution is inverse gaussian.
-# Version: 0.0.4
+# Version: 0.0.6
 # Depends: python 3.7.3
-# Usage: ./sleepRand.py [-v] [-p L] SECONDS
+# Usage: ./sleepRand.py [-v] [-p P] SECONDS
 # Input: SECONDS: float seconds (mean of inverse gaussian distribution)
-#        L:       precision (lambda of inverse gaussian distribution)
+#        P:       precision (lambda of inverse gaussian distribution)
 # Example: python3 sleepRand.py -vv -p 8.0 60.0
 
 import argparse;
@@ -34,10 +34,18 @@ parser.add_argument('--precision','-p',
                     default=[4.0],
                     type=float,
                     help='How concentrated delays are around the mean (default: 4.0). Must be a positive integer or floating point value. Is the lambda factor in the inverse gaussian distribution. High values (e.g. > 10.0) cause random delays to rarely stray far from MEAN. Small values (e.g. < 0.10) result in many small delays plus occasional long delays.');
+parser.add_argument('--upper','-u',
+                    action='store',
+                    metavar='U',
+                    nargs=1,
+                    default=[None],
+                    type=float,
+                    help='Upper bound for possible delays (default: no bound). Without bound, extremely high delays are unlikely but possible.');
 args = parser.parse_args();
 
 # Define functions
 def setup_logging(verbosity):
+    '''Sets up logging'''
     # Depends: module: argparse
     # Ref/Attrib: Haas, Florian; Configure logging with argparse; https://xahteiwi.eu/resources/hints-and-kinks/python-cli-logging-options/
     base_loglevel = 30;
@@ -71,14 +79,29 @@ setup_logging(args.verbosity);
 logging.debug('DEBUG:Debug logging output enabled.');
 logging.debug('DEBUG:args.verbosity:' + str(args.verbosity));
 logging.debug('DEBUG:args:' + str(args));
-## Reject negative floats.
+
+## Receive input arguments
 try:
     ### Get desired mean
     desMean = args.mean[0];    
     logging.debug('DEBUG:Desired mean:' + str(desMean));
+    
     ### Get lambda precision factor
     lambdaFactor = args.precision[0];
     logging.debug('DEBUG:Lambda precision factor:' + str(lambdaFactor));
+    
+    ### Get upper bound
+    if isinstance(args.upper[0], float):
+        logging.debug('DEBUG:args.upper[0] is float:' + str(args.upper[0]));
+        upperBound = args.upper[0];
+    elif args.upper[0] is None:
+        logging.debug('DEBUG:args.upper[0] is None:' + str(args.upper[0]));
+        upperBound = None;
+    else:
+        raise TypeError('Upper bound not set correctly.');
+    logging.debug('DEBUG:Upper bound:' + str(upperBound));
+    
+    ### Reject negative floats.
     if desMean < 0:
         logging.error('ERROR:Desired mean is negative:' + str(desMean));
         raise ValueError('Negative number error.');
@@ -89,8 +112,13 @@ except ValueError:
     sys.exit(1);
 
 # Calculate delay
-delay = randInvGau(desMean, desMean * lambdaFactor);
-logging.debug('delay:' + str(delay));
+rawDelay = randInvGau(desMean, desMean * lambdaFactor);
+logging.debug('DEBUG:rawDelay(seconds):' + str(rawDelay));
+if isinstance(upperBound,float):
+    delay = min(upperBound, rawDelay);
+elif upperBound is None:
+    delay = rawDelay;
+logging.debug('DEBUG:delay(seconds)   :' + str(delay));
 
 # Sleep
 time.sleep(float(delay));