class BasePlotType(object):
# 14 most distinguishable colors, according to
# http://stackoverflow.com/questions/309149/generate-distinctly-different-rgb-colors-in-graphs
colors = ['#000000','#00FF00','#0000FF','#FF0000','#01FFFE','#FFA6FE','#FFDB66','#006401', \
'#010067','#95003A','#007DB5','#FF00F6','#FFEEE8','#774D00']
color_index = 0
markers = ['o', 's', '<', 'D']
marker_index = 0
sort_order = 0
plot_type_str = 'base'
default_group_by = None
date_range = (datetime(MAXYEAR, 12, 31), datetime(MINYEAR, 1, 1))
def __init__(self, args=None, unknown_args=None):
self.args = args
self.unknown_args = unknown_args
self.groups = OrderedDict()
self.empty = True
self.limits = None
if self.args['optime_start']:
self.xlabel = 'time (start of ops)'
else:
self.xlabel = 'time (end of ops)'
def accept_line(self, logevent):
""" return True if this PlotType can plot this line. """
return True
def add_line(self, logevent):
""" append log line to this plot type. """
key = None
self.empty = False
self.groups.setdefault(key, list()).append(logevent)
@property
def logevents(self):
""" iterator yielding all logevents from groups dictionary. """
for key in self.groups:
for logevent in self.groups[key]:
yield logevent
@classmethod
def color_map(cls, group):
color = cls.colors[cls.color_index]
cls.color_index += 1
marker = cls.markers[cls.marker_index]
if cls.color_index >= len(cls.colors):
cls.marker_index += 1
cls.marker_index %= len(cls.markers)
cls.color_index %= cls.color_index
return color, marker
def group(self):
""" (re-)group all logevents by the given group. """
if hasattr(self, 'group_by'):
group_by = self.group_by
else:
group_by = self.default_group_by
if self.args['group'] != None:
group_by = self.args['group']
self.groups = Grouping(self.logevents, group_by)
self.groups.move_items(None, 'others')
self.groups.sort_by_size(group_limit=self.args['group_limit'], discard_others=self.args['no_others'])
def plot_group(self, group, idx, axis):
raise NotImplementedError("BasePlotType can't plot. Use a derived class instead")
def clicked(self, event):
""" this is called if an element of this plottype was clicked. Implement in sub class. """
pass
def plot(self, axis, ith_plot, total_plots, limits):
self.limits = limits
artists = []
print self.plot_type_str.upper(), "plot"
print "%5s %9s %s"%("id", " #points", "group")
for idx, group in enumerate(self.groups):
print "%5s %9s %s"%(idx+1, len(self.groups[group]), group)
group_artists = self.plot_group(group, idx+ith_plot, axis)
if isinstance(group_artists, list):
artists.extend(group_artists)
else:
artists.append(group_artists)
print
return artists
class BasePlotType(object):
# 14 most distinguishable colors, according to
# http://stackoverflow.com/questions/309149/generate-distinctly-different-rgb-colors-in-graphs
colors = [
'#0000FF', '#FF00F6', '#01FFFE', '#505050', '#909090', '#FF0000',
'#00FF00', '#FFA6FE', '#FFDB66', '#006401', '#010067', '#95003A',
'#007DB5', '#FFEEE8', '#774D00'
]
color_index = 0
markers = ['o', 's', '<', 'D']
marker_index = 0
sort_order = 0
plot_type_str = 'base'
default_group_by = None
date_range = (datetime(MAXYEAR, 12, 31, tzinfo=tzutc()),
datetime(MINYEAR, 1, 1, tzinfo=tzutc()))
def __init__(self, args=None, unknown_args=None):
self.args = args
self.unknown_args = unknown_args
self.groups = OrderedDict()
self.empty = True
self.limits = None
if self.args['optime_start']:
self.xlabel = 'time (start of ops)'
else:
self.xlabel = 'time (end of ops)'
def accept_line(self, logevent):
"""Return True if this PlotType can plot this line."""
return True
def add_line(self, logevent):
"""Append log line to this plot type."""
key = None
self.empty = False
self.groups.setdefault(key, list()).append(logevent)
@property
def logevents(self):
"""Iterator yielding all logevents from groups dictionary."""
for key in self.groups:
for logevent in self.groups[key]:
try:
yield logevent
except StopIteration:
return
@classmethod
def color_map(cls, group):
color = cls.colors[cls.color_index]
cls.color_index += 1
marker = cls.markers[cls.marker_index]
if cls.color_index >= len(cls.colors):
cls.marker_index += 1
cls.marker_index %= len(cls.markers)
cls.color_index %= cls.color_index
return color, marker
def group(self):
"""(re-)group all logevents by the given group."""
if hasattr(self, 'group_by'):
group_by = self.group_by
else:
group_by = self.default_group_by
if self.args['group'] is not None:
group_by = self.args['group']
self.groups = Grouping(self.logevents, group_by)
self.groups.move_items(None, 'others')
self.groups.sort_by_size(group_limit=self.args['group_limit'],
discard_others=self.args['no_others'])
def plot_group(self, group, idx, axis):
raise NotImplementedError("BasePlotType can't plot. "
"Use a derived class instead")
def clicked(self, event):
"""
Call if an element of this plottype was clicked.
Implement in sub class.
"""
pass
def plot(self, axis, ith_plot, total_plots, limits):
self.limits = limits
artists = []
print(self.plot_type_str.upper() + " plot")
print("%5s %9s %s" % ("id", " #points", "group"))
for idx, group in enumerate(self.groups):
print("%5s %9s %s" % (idx + 1, len(self.groups[group]), group))
group_artists = self.plot_group(group, idx + ith_plot, axis)
if isinstance(group_artists, list):
artists.extend(group_artists)
else:
artists.append(group_artists)
print()
return artists
