def __init__(self, size):
"Initialize accumulator"
self.size = size
self.errors = DefaultBunch(int)
self.total = DefaultBunch(int)
self.min = DefaultBunch(int)
self.max = DefaultBunch(int)
self._basetime = time.time()
def __init__(self, size):
"Initialize accumulator"
self.size = size
self.errors = DefaultBunch(int)
self.total = DefaultBunch(int)
self.min = DefaultBunch(int)
self.max = DefaultBunch(int)
self._basetime = time.time()
def average(self):
"Calculate average"
result = DefaultBunch(str)
# Calculate average if possible
if self.size:
result.update(
(key, '' if isinstance(val, basestring) else val / self.size)
for key, val in self.total.items())
# Handle time fields
#for key, fielddef in engine.FieldDefinition.FIELDS.items():
# if key in result and fielddef._matcher is matching.TimeFilter:
# result[key] = ''
#for key, fielddef in engine.FieldDefinition.FIELDS.items():
# if key in result and fielddef._matcher is matching.TimeFilter:
# result[key] = engine._fmt_duration(result[key])
#print self.total
#print result
return result
class FieldStatistics(object):
""" Collect statistical values for the fields of a search result.
"""
def __init__(self, size):
"Initialize accumulator"
self.size = size
self.errors = DefaultBunch(int)
self.total = DefaultBunch(int)
self.min = DefaultBunch(int)
self.max = DefaultBunch(int)
self._basetime = time.time()
def __nonzero__(self):
"Truth"
return bool(self.total)
def add(self, field, val):
"Add a sample"
if engine.FieldDefinition.FIELDS[field]._matcher is matching.TimeFilter:
val = self._basetime - val
try:
self.total[field] += val
self.min[field] = min(self.min[field], val) if field in self.min else val
self.max[field] = max(self.max[field], val)
except (ValueError, TypeError):
self.errors[field] += 1
@property
def average(self):
"Calculate average"
result = DefaultBunch(str)
# Calculate average if possible
if self.size:
result.update(
(key, '' if isinstance(val, basestring) else val / self.size)
for key, val in self.total.items()
)
# Handle time fields
#for key, fielddef in engine.FieldDefinition.FIELDS.items():
# if key in result and fielddef._matcher is matching.TimeFilter:
# result[key] = ''
#for key, fielddef in engine.FieldDefinition.FIELDS.items():
# if key in result and fielddef._matcher is matching.TimeFilter:
# result[key] = engine._fmt_duration(result[key])
#print self.total
#print result
return result
def average(self):
"Calculate average"
result = DefaultBunch(str)
# Calculate average if possible
if self.size:
result.update(
(key, '' if isinstance(val, basestring) else val / self.size)
for key, val in self.total.items()
)
# Handle time fields
#for key, fielddef in engine.FieldDefinition.FIELDS.items():
# if key in result and fielddef._matcher is matching.TimeFilter:
# result[key] = ''
#for key, fielddef in engine.FieldDefinition.FIELDS.items():
# if key in result and fielddef._matcher is matching.TimeFilter:
# result[key] = engine._fmt_duration(result[key])
#print self.total
#print result
return result
