From faababba16f98552dc11b1fe918b4a7480fa6421 Mon Sep 17 00:00:00 2001
From: Felipe Salerno Prado <sprado@dram.eit.uni-kl.de>
Date: Fri, 18 Mar 2016 17:06:49 +0100
Subject: [PATCH] Power over time charts

---
 DRAMSys/analyzer/scripts/plots.py | 38 +++++++++++++++++++++++++++++++
 1 file changed, 38 insertions(+)

diff --git a/DRAMSys/analyzer/scripts/plots.py b/DRAMSys/analyzer/scripts/plots.py
index 5eb3b463..745ad8c2 100644
--- a/DRAMSys/analyzer/scripts/plots.py
+++ b/DRAMSys/analyzer/scripts/plots.py
@@ -72,6 +72,8 @@ def memory_utilisation_window(connection, tracePath):
     name = ntpath.basename(tracePath)
     basename, extension = os.path.splitext(name)
 
+
+
     OUTPUT_FILE = 'memory_utilization_' + basename + '.pdf'
     print("Output file is {0}".format(OUTPUT_FILE))
 
@@ -101,9 +103,45 @@ def memory_utilisation_window(connection, tracePath):
     pdf = PdfPages(OUTPUT_FILE)
     pdf.savefig()
     pdf.close()
+    plt.close()
     return
 
 
+@plot
+def power_window(connection, tracePath):
+    cursor = connection.cursor()
+    cursor.execute(""" SELECT max(time) FROM Power """)
+    maxTime = cursor.fetchone()
+    cursor.execute(""" SELECT min(time) FROM Power WHERE time > 0""")
+    windowSize = cursor.fetchone()
+    steps = ceil(float(maxTime[0])/float(windowSize[0]))
+    cursor.execute(""" SELECT * FROM Power """)
+    time = [0] * steps
+    power = [0] * steps
+    for i in range(steps):
+        result = cursor.fetchone()
+        time[i] = int(result[0])/1000
+        power[i] = float(result[1])
+
+    name = ntpath.basename(tracePath)
+    basename, extension = os.path.splitext(name)
+
+    OUTPUT_FILE = 'power_' + basename + '.pdf'
+    print("Output file is {0}".format(OUTPUT_FILE))
+
+    import matplotlib.pyplot as plt
+    from matplotlib.backends.backend_pdf import PdfPages
+
+    plt.plot(time, power)
+    plt.xlabel('Time (ns)')
+    plt.ylabel('Power (mW)')
+    plt.grid(True)
+    pdf = PdfPages(OUTPUT_FILE)
+    pdf.savefig()
+    pdf.close()
+    plt.close()
+    return
+
 # @plot
 # def latency_histogram(connection):
 #     # This function plots an histogram with access latencys