mirror of
https://github.com/searxng/searxng
synced 2024-01-01 18:24:07 +00:00
3d96a9839a
This patch was generated by black [1]::
make format.python
[1] https://github.com/psf/black
Signed-off-by: Markus Heiser <markus.heiser@darmarit.de>
157 lines
4.0 KiB
Python
157 lines
4.0 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-or-later
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import decimal
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import threading
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from searx import logger
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__all__ = ["Histogram", "HistogramStorage", "CounterStorage"]
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logger = logger.getChild('searx.metrics')
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class Histogram:
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_slots__ = '_lock', '_size', '_sum', '_quartiles', '_count', '_width'
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def __init__(self, width=10, size=200):
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self._lock = threading.Lock()
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self._width = width
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self._size = size
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self._quartiles = [0] * size
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self._count = 0
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self._sum = 0
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def observe(self, value):
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q = int(value / self._width)
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if q < 0:
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"""Value below zero is ignored"""
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q = 0
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if q >= self._size:
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"""Value above the maximum is replaced by the maximum"""
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q = self._size - 1
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with self._lock:
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self._quartiles[q] += 1
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self._count += 1
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self._sum += value
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@property
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def quartiles(self):
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return list(self._quartiles)
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@property
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def count(self):
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return self._count
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@property
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def sum(self):
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return self._sum
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@property
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def average(self):
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with self._lock:
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if self._count != 0:
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return self._sum / self._count
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else:
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return 0
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@property
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def quartile_percentage(self):
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'''Quartile in percentage'''
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with self._lock:
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if self._count > 0:
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return [int(q * 100 / self._count) for q in self._quartiles]
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else:
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return self._quartiles
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@property
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def quartile_percentage_map(self):
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result = {}
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# use Decimal to avoid rounding errors
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x = decimal.Decimal(0)
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width = decimal.Decimal(self._width)
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width_exponent = -width.as_tuple().exponent
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with self._lock:
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if self._count > 0:
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for y in self._quartiles:
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yp = int(y * 100 / self._count)
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if yp != 0:
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result[round(float(x), width_exponent)] = yp
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x += width
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return result
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def percentage(self, percentage):
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# use Decimal to avoid rounding errors
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x = decimal.Decimal(0)
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width = decimal.Decimal(self._width)
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stop_at_value = decimal.Decimal(self._count) / 100 * percentage
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sum_value = 0
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with self._lock:
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if self._count > 0:
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for y in self._quartiles:
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sum_value += y
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if sum_value >= stop_at_value:
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return x
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x += width
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return None
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def __repr__(self):
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return "Histogram<avg: " + str(self.average) + ", count: " + str(self._count) + ">"
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class HistogramStorage:
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__slots__ = 'measures'
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def __init__(self):
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self.clear()
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def clear(self):
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self.measures = {}
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def configure(self, width, size, *args):
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measure = Histogram(width, size)
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self.measures[args] = measure
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return measure
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def get(self, *args):
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return self.measures.get(args, None)
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def dump(self):
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logger.debug("Histograms:")
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ks = sorted(self.measures.keys(), key='/'.join)
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for k in ks:
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logger.debug("- %-60s %s", '|'.join(k), self.measures[k])
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class CounterStorage:
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__slots__ = 'counters', 'lock'
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def __init__(self):
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self.lock = threading.Lock()
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self.clear()
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def clear(self):
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with self.lock:
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self.counters = {}
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def configure(self, *args):
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with self.lock:
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self.counters[args] = 0
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def get(self, *args):
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return self.counters[args]
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def add(self, value, *args):
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with self.lock:
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self.counters[args] += value
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def dump(self):
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with self.lock:
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ks = sorted(self.counters.keys(), key='/'.join)
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logger.debug("Counters:")
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for k in ks:
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logger.debug("- %-60s %s", '|'.join(k), self.counters[k])
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