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importnumpyasnp
importmatplotlib.pyplotasplt
frommatplotlib.widgetsimportButton
fromosimportlistdir
fromos.pathimportisfile, join
importjson
importseabornassns
classLogFile(object):
def__init__(self, json_content, file_name=None):
self._file_name=file_nameiffile_nameisnotNoneelse"noname"
self._steps= [Step(s) forsinjson_content]
iflen(self._steps) <=0:
self._max_length=0
self._sender_count=0
else:
self._max_length=max([s._max_lengthforsinself._steps])
self._sender_count=self._steps[0]._sender_count
def__repr__(self):
s="LogFile{"
forstepinself._steps:
s+="%s,"%step
iflen(self._steps) >0:
s=s[:-1]
s+="}"
returns
defplot(self):
forstepinlog_file._steps:
f, axes=plt.subplots(self._sender_count, sharex=True, sharey=True)
step.show_plot(self._max_length, axes)
plt.show()
defplot_step(self, axes, selected):
self._steps[selected].show_plot(self._max_length, axes)
@staticmethod
defparse_json_file(filename):
print(filename)
withopen(filename, 'r') asf:
json_content=json.load(f)
returnLogFile(json_content, filename)
classStep(object):
def__init__(self, json_content):
self._sender_count=json_content["sendercount"]
self._cliques=json_content["clqs"]
# reversed so that validator 0 is at the bottom
self._last_messages= [View(j) forjinjson_content["lms"]]
self._max_length=max([v.get_max_length() forvinself._last_messages])
def__repr__(self):
s="Step{sender_count: %d, cliques: %s, last_messages: %s}"% (
self._sender_count, self._cliques, self._last_messages)
returns
defshow_plot(self, max_length, axes):
length=len(self._last_messages)-1
fori, viewinenumerate(self._last_messages):
view.add_plot(self._sender_count, max_length, axes[length-i])
axes[length-i].set_ylabel(i)
plt.setp(axes,
xticks=range(1, max_length),
yticks=range(0, self._sender_count),
)
classView(object):
def__init__(self, json_content):
_json_content=json_content[0]
self._heights= {}
self._messages= {key: Message(value) for (key, value) in_json_content.items()}
self.compute_heights()
def__repr__(self):
return"View%s"%self._messages
defadd_plot(self, sender_count, max_length, axes):
fori, keyinenumerate(sorted(self._messages.keys())):
self._messages[key].add_plot(sender_count, self._heights, axes)
defget_max_length(self):
returnmax([len(m._justification) forminself._messages.values()])
defcompute_heights(self):
forname, messageinself._messages.items():
forindex, blockinenumerate(reversed(message._justification)):
ifblockisnotNone:
self._heights[block[1]] =index
last_block=block
else:
self._heights[None] =-1
classMessage(object):
def__init__(self, json_content):
# formatting?
assertlen(json_content) ==1
# get first key
self._name, justification=json_content.popitem()
self._justification= [tuple(j) ifj!='None'elseNoneforjinjustification]
def__repr__(self):
return"Message{name: %s, justification: %s}"% (self._name, self._justification)
defadd_plot(self, sender_count, heights, axes):
# m is None if its the genesis remove "if m is not None" to show it on the graphs
x= [heights[m[1]] ifmisnotNoneelseheights[m] forminself._justificationifmisnotNone]
y= [-1ifmisNoneelseint(m[0]) forminself._justificationifmisnotNone]
axes.plot(x,y, 'bo', linestyle='solid')
classIndexSteps(object):
_FAST_FORWARD_STEP=5
def__init__(self, fig, log_files):
self._fig=fig
self._log_files=log_files
self._selected_log_file=0
self._log_file=log_files[self._selected_log_file]
self._axes=fig.subplots(self._log_file._sender_count, sharex=True, sharey=True)
self._fix_axes()
self._selected_step=0
self._min=0
self._max=len(self._log_file._steps)-1
self._log_file.plot_step(self._axes, self._selected_step)
self._print_title()
def_perform_step(self, step):
self._selected_step+=step
self._selected_step=self._maxifself._selected_step>=self._maxelseself._selected_step
self._selected_step=self._minifself._selected_step<=self._minelseself._selected_step
self._plot()
def_fix_axes(self):
'''if there is only one validator, there is only one axe and
matplotlib returns only an object, not a list of objects.
as everything is based on loops over a list of axes it is easier to fix it here once'''
ifnotisinstance(self._axes, np.ndarray):
self._axes= [self._axes]
defnext(self, event):
self._perform_step(1)
defprev(self, event):
self._perform_step(-1)
defnext_ff(self, event):
self._perform_step(self._FAST_FORWARD_STEP)
defprev_ff(self, event):
self._perform_step(-self._FAST_FORWARD_STEP)
def_plot(self):
self._reset_axes()
self._log_file.plot_step(self._axes, self._selected_step)
self._print_subtitle()
self._fig.canvas.draw()
defprev_log_file(self, event):
self._perform_log(-1)
defnext_log_file(self, event):
self._perform_log(1)
def_reset_axes(self):
foraxeinself._axes:
axe.cla()
def_print_title(self):
self._fig.suptitle(self._log_file._file_name)
self._print_subtitle()
def_print_subtitle(self):
self._axes[0].set_title("Step %d/%d"% (self._selected_step+1, self._max+1))
def_perform_log(self, selected_log_file_step):
self._selected_log_file+=selected_log_file_step
min_index=0
max_index=len(self._log_files)-1
self._selected_log_file=max_indexifself._selected_log_file>=max_indexelseself._selected_log_file
self._selected_log_file=min_indexifself._selected_log_file<=min_indexelseself._selected_log_file
self._log_file=self._log_files[self._selected_log_file]
self._min=0
self._max=len(self._log_file._steps)-1
self._selected_step=self._min
self._reset_axes()
plt.setp(self._axes, xticks=[], yticks=[])
self._axes=self._fig.subplots(self._log_file._sender_count, sharex=True, sharey=True)
self._fix_axes()
self._print_title()
self._plot()
defmain():
# json files loading
fromosimportlistdir
fromos.pathimportisfile, join
directory="./generated"
# all files (no folders) in directory
onlyfiles=sorted([fforfinlistdir(directory) ifisfile(join(directory, f))])
log_files= [LogFile.parse_json_file(directory+'/'+f) forfinonlyfiles]
# filter out empty files
log_files= [log_fileforlog_fileinlog_filesiflen(log_file._steps) >0]
size_x=0.075
size_y=0.054
size_x_large=size_x*1.4
offset_x=0.01
fig=plt.figure(figsize=(5,5), dpi=100)
callback=IndexSteps(fig, log_files)
axprev=plt.axes([0.15+1*size_x, offset_x, size_x, size_y])
axnext=plt.axes([0.15+2*size_x, offset_x, size_x, size_y])
axprev_ff=plt.axes([0.15+0*size_x, offset_x, size_x, size_y])
axnext_ff=plt.axes([0.15+3*size_x, offset_x, size_x, size_y])
axprev_log=plt.axes([0.65, offset_x, size_x_large, size_y])
axnext_log=plt.axes([0.65+size_x_large, offset_x, size_x_large, size_y])
bnext=Button(axnext, '>')
bnext.on_clicked(callback.next)
bprev=Button(axprev, '<')
bprev.on_clicked(callback.prev)
bnext_ff=Button(axnext_ff, '>>')
bnext_ff.on_clicked(callback.next_ff)
bprev_ff=Button(axprev_ff, '<<')
bprev_ff.on_clicked(callback.prev_ff)
bnext_log=Button(axnext_log, "Next Log")
bnext_log.on_clicked(callback.next_log_file)
bprev_log=Button(axprev_log, "Prev Log")
bprev_log.on_clicked(callback.prev_log_file)
plt.show()
if__name__=='__main__':
main()