From 3f16f409aa51f8e0929b250108c8e9069f6f48d5 Mon Sep 17 00:00:00 2001
From: Nicolargo <nicolas@nicolargo.com>
Date: Thu, 31 Jul 2014 13:25:16 +0200
Subject: [PATCH] Add the glances history script

---
 glances/outputs/glances_history.py | 111 +++++++++++++++++++++++++++++
 1 file changed, 111 insertions(+)
 create mode 100644 glances/outputs/glances_history.py

diff --git a/glances/outputs/glances_history.py b/glances/outputs/glances_history.py
new file mode 100644
index 00000000..91cc16a4
--- /dev/null
+++ b/glances/outputs/glances_history.py
@@ -0,0 +1,111 @@
+# -*- coding: utf-8 -*-
+#
+# This file is part of Glances.
+#
+# Copyright (C) 2014 Nicolargo <nicolas@nicolargo.com>
+#
+# Glances is free software; you can redistribute it and/or modify
+# it under the terms of the GNU Lesser General Public License as published by
+# the Free Software Foundation, either version 3 of the License, or
+# (at your option) any later version.
+#
+# Glances is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+# GNU Lesser General Public License for more details.
+#
+# You should have received a copy of the GNU Lesser General Public License
+# along with this program. If not, see <http://www.gnu.org/licenses/>.
+
+"""History class."""
+
+# Import system lib
+import os
+import tempfile
+
+# Import Glances lib
+from glances.core.glances_globals import logger
+
+# Import specific lib
+try:
+    from matplotlib import __version__ as matplotlib_version
+    import matplotlib.pyplot as plt
+    import matplotlib.dates as dates
+except:
+    matplotlib_check = False
+    logger.warning('Can not load Matplotlib library. Please install it using "pip install matplotlib"')
+else:
+    matplotlib_check = True
+    logger.info('Load Matplotlib version %s' % matplotlib_version)
+
+
+class GlancesHistory(object):
+
+    """This class define the object to manage stats history"""
+
+    def __init__(self, output_folder=tempfile.gettempdir()):
+        # !!! MINUS: matplotlib footprint (mem/cpu) => Fork process ?
+        # !!! MINUS: Mem used to store history
+        # !!! TODO: sampling before graph => Usefull ?
+        # !!! TODO: do not display first two point (glances is running)
+        # !!! TODO: replace /tmp by a cross platform way to get /tmp folder
+        self.output_folder = output_folder
+
+    def get_output_folder(self):
+        """Return the output folder where the graph are generated"""
+        return self.output_folder
+
+    def graph_enabled(self):
+        """Return True if Glances can generaate history graphs"""
+        return matplotlib_check
+
+    def reset(self, stats):
+        """
+        Reset all the history
+        """
+        if not self.graph_enabled():
+            return False
+        for p in stats.getAllPlugins():
+            h = stats.get_plugin(p).get_stats_history()
+            if h is not None:
+                stats.get_plugin(p).reset_stats_history()
+        return True
+
+    def generate_graph(self, stats):
+        """
+        Generate graphs from plugins history
+        """
+        if not self.graph_enabled():
+            return False
+
+        for p in stats.getAllPlugins():
+            h = stats.get_plugin(p).get_stats_history()
+            if h is not None:
+                # Build the graph
+                # fig = plt.figure(dpi=72)
+                ax = plt.subplot(1, 1, 1)
+
+                # Label
+                plt.title("%s stats" % p)
+                
+                handles = []
+                for i in stats.get_plugin(p).get_items_history_list():
+                    handles.append(plt.Rectangle((0, 0), 1, 1, fc=i['color'], ec=i['color'], linewidth=1))
+                labels = [i['name'] for i in stats.get_plugin(p).get_items_history_list()]
+                plt.legend(handles, labels, loc=1, prop={'size':9})
+                formatter = dates.DateFormatter('%H:%M:%S')
+                ax.xaxis.set_major_formatter(formatter)
+                # ax.set_ylabel('%')
+
+                # Draw the stats
+                for i in stats.get_plugin(p).get_items_history_list():
+                    ax.plot_date(h['date'], h[i['name']], 
+                                 i['color'], 
+                                 label='%s' % i['name'], 
+                                 xdate=True, ydate=False)
+
+                # Save and display
+                plt.savefig(os.path.join(self.output_folder, 'glances_%s.png' % p), dpi=72)
+                # plt.show()
+
+        return True