Updates included frontend scripts to match doc

1 files changed, 64 insertions, 0 deletions

diff --git a/scripts/visualize.py b/scripts/visualize.py
new file mode 100755
index 0000000..2b828be
--- /dev/null
+++ b/scripts/visualize.py
@@ -0,0 +1,64 @@
+#!/usr/bin/python
+
+################################################################################
+# Description
+################################################################################
+# This scriipt demonstrates the visualizer submodule.
+
+# This script should be invoked with the names of the trace files you want to
+# use. For example, `gedf_test.py ../sample_traces/*.bin`.
+# You probably want to redirect the (normally lengthy) output to a file!
+# Otherwise, speed is greatly decreased b/c terminal printing is slow.
+
+################################################################################
+# Setup
+################################################################################
+
+# Import the modules we need. You should not need to know about
+# their internals.
+import unit_trace
+from unit_trace import trace_reader
+from unit_trace import sanitizer
+from unit_trace import gedf_test
+from unit_trace import stats
+from unit_trace import stdout_printer
+from unit_trace import visualizer
+
+# Get trace files from command line arguments
+from optparse import OptionParser
+parser = OptionParser()
+(options, traces) = parser.parse_args()
+traces = list(traces)
+
+################################################################################
+# Pipeline
+################################################################################
+
+# Read events from traces
+stream = trace_reader.trace_reader(traces)
+
+# Filter out garbage events
+stream = sanitizer.sanitizer(stream)
+
+# Produce G-EDF error records
+stream = gedf_test.gedf_test(stream)
+
+# Produce a statistics record
+stream = stats.stats(stream)
+
+# Filter some records out
+def my_filter(record):
+    if record.record_type == 'error' and record.type_name == 'inversion_end':
+        if record.job.inversion_end - record.job.inversion_start < 4000000:
+            return False
+    return True
+#stream = filter(my_filter, stream)
+
+# It is possible to split the stream in two, 
+# so we can use more than one output mechanism (for example)
+# without re-doing earlier work.
+# import itertools
+# stream1, stream2 = itertools.tee(stream,2)
+
+# Print the records to stdout
+visualizer.visualizer(stream)