PNG  IHDRxsBIT|d pHYs+tEXtSoftwarewww.inkscape.org<,tEXtComment File Manager

File Manager

Path: /opt/alt/python311/lib/python3.11/site-packages/prometheus_client/

Viewing File: multiprocess.py

from collections import defaultdict
import glob
import json
import os
import warnings

from .metrics import Gauge
from .metrics_core import Metric
from .mmap_dict import MmapedDict
from .samples import Sample
from .utils import floatToGoString

try:  # Python3
    FileNotFoundError
except NameError:  # Python >= 2.5
    FileNotFoundError = IOError


class MultiProcessCollector:
    """Collector for files for multi-process mode."""

    def __init__(self, registry, path=None):
        if path is None:
            # This deprecation warning can go away in a few releases when removing the compatibility
            if 'prometheus_multiproc_dir' in os.environ and 'PROMETHEUS_MULTIPROC_DIR' not in os.environ:
                os.environ['PROMETHEUS_MULTIPROC_DIR'] = os.environ['prometheus_multiproc_dir']
                warnings.warn("prometheus_multiproc_dir variable has been deprecated in favor of the upper case naming PROMETHEUS_MULTIPROC_DIR", DeprecationWarning)
            path = os.environ.get('PROMETHEUS_MULTIPROC_DIR')
        if not path or not os.path.isdir(path):
            raise ValueError('env PROMETHEUS_MULTIPROC_DIR is not set or not a directory')
        self._path = path
        if registry:
            registry.register(self)

    @staticmethod
    def merge(files, accumulate=True):
        """Merge metrics from given mmap files.

        By default, histograms are accumulated, as per prometheus wire format.
        But if writing the merged data back to mmap files, use
        accumulate=False to avoid compound accumulation.
        """
        metrics = MultiProcessCollector._read_metrics(files)
        return MultiProcessCollector._accumulate_metrics(metrics, accumulate)

    @staticmethod
    def _read_metrics(files):
        metrics = {}
        key_cache = {}

        def _parse_key(key):
            val = key_cache.get(key)
            if not val:
                metric_name, name, labels, help_text = json.loads(key)
                labels_key = tuple(sorted(labels.items()))
                val = key_cache[key] = (metric_name, name, labels, labels_key, help_text)
            return val

        for f in files:
            parts = os.path.basename(f).split('_')
            typ = parts[0]
            try:
                file_values = MmapedDict.read_all_values_from_file(f)
            except FileNotFoundError:
                if typ == 'gauge' and parts[1].startswith('live'):
                    # Files for 'live*' gauges can be deleted between the glob of collect
                    # and now (via a mark_process_dead call) so don't fail if
                    # the file is missing
                    continue
                raise
            for key, value, timestamp, _ in file_values:
                metric_name, name, labels, labels_key, help_text = _parse_key(key)

                metric = metrics.get(metric_name)
                if metric is None:
                    metric = Metric(metric_name, help_text, typ)
                    metrics[metric_name] = metric

                if typ == 'gauge':
                    pid = parts[2][:-3]
                    metric._multiprocess_mode = parts[1]
                    metric.add_sample(name, labels_key + (('pid', pid),), value, timestamp)
                else:
                    # The duplicates and labels are fixed in the next for.
                    metric.add_sample(name, labels_key, value)
        return metrics

    @staticmethod
    def _accumulate_metrics(metrics, accumulate):
        for metric in metrics.values():
            samples = defaultdict(float)
            sample_timestamps = defaultdict(float)
            buckets = defaultdict(lambda: defaultdict(float))
            samples_setdefault = samples.setdefault
            for s in metric.samples:
                name, labels, value, timestamp, exemplar, native_histogram_value = s
                if metric.type == 'gauge':
                    without_pid_key = (name, tuple(l for l in labels if l[0] != 'pid'))
                    if metric._multiprocess_mode in ('min', 'livemin'):
                        current = samples_setdefault(without_pid_key, value)
                        if value < current:
                            samples[without_pid_key] = value
                    elif metric._multiprocess_mode in ('max', 'livemax'):
                        current = samples_setdefault(without_pid_key, value)
                        if value > current:
                            samples[without_pid_key] = value
                    elif metric._multiprocess_mode in ('sum', 'livesum'):
                        samples[without_pid_key] += value
                    elif metric._multiprocess_mode in ('mostrecent', 'livemostrecent'):
                        current_timestamp = sample_timestamps[without_pid_key]
                        timestamp = float(timestamp or 0)
                        if current_timestamp < timestamp:
                            samples[without_pid_key] = value
                            sample_timestamps[without_pid_key] = timestamp
                    else:  # all/liveall
                        samples[(name, labels)] = value

                elif metric.type == 'histogram':
                    # A for loop with early exit is faster than a genexpr
                    # or a listcomp that ends up building unnecessary things
                    for l in labels:
                        if l[0] == 'le':
                            bucket_value = float(l[1])
                            # _bucket
                            without_le = tuple(l for l in labels if l[0] != 'le')
                            buckets[without_le][bucket_value] += value
                            break
                    else:  # did not find the `le` key
                        # _sum/_count
                        samples[(name, labels)] += value
                else:
                    # Counter and Summary.
                    samples[(name, labels)] += value

            # Accumulate bucket values.
            if metric.type == 'histogram':
                for labels, values in buckets.items():
                    acc = 0.0
                    for bucket, value in sorted(values.items()):
                        sample_key = (
                            metric.name + '_bucket',
                            labels + (('le', floatToGoString(bucket)),),
                        )
                        if accumulate:
                            acc += value
                            samples[sample_key] = acc
                        else:
                            samples[sample_key] = value
                    if accumulate:
                        samples[(metric.name + '_count', labels)] = acc

            # Convert to correct sample format.
            metric.samples = [Sample(name_, dict(labels), value) for (name_, labels), value in samples.items()]
        return metrics.values()

    def collect(self):
        files = glob.glob(os.path.join(self._path, '*.db'))
        return self.merge(files, accumulate=True)


_LIVE_GAUGE_MULTIPROCESS_MODES = {m for m in Gauge._MULTIPROC_MODES if m.startswith('live')}


def mark_process_dead(pid, path=None):
    """Do bookkeeping for when one process dies in a multi-process setup."""
    if path is None:
        path = os.environ.get('PROMETHEUS_MULTIPROC_DIR', os.environ.get('prometheus_multiproc_dir'))
    for mode in _LIVE_GAUGE_MULTIPROCESS_MODES:
        for f in glob.glob(os.path.join(path, f'gauge_{mode}_{pid}.db')):
            os.remove(f)
b IDATxytVսϓ22 A@IR :hCiZ[v*E:WũZA ^dQeQ @ !jZ'>gsV仿$|?g)&x-EIENT ;@xT.i%-X}SvS5.r/UHz^_$-W"w)Ɗ/@Z &IoX P$K}JzX:;` &, ŋui,e6mX ԵrKb1ԗ)DADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADA݀!I*]R;I2$eZ#ORZSrr6mteffu*((Pu'v{DIߔ4^pIm'77WEEE;vƎ4-$]'RI{\I&G :IHJ DWBB=\WR޽m o$K(V9ABB.}jѢv`^?IOȅ} ڶmG}T#FJ`56$-ھ}FI&v;0(h;Б38CӧOWf!;A i:F_m9s&|q%=#wZprrrla A &P\\СC[A#! {olF} `E2}MK/vV)i{4BffV\|ۭX`b@kɶ@%i$K z5zhmX[IXZ` 'b%$r5M4º/l ԃߖxhʔ)[@=} K6IM}^5k㏷݆z ΗÿO:gdGBmyT/@+Vɶ纽z񕏵l.y޴it뭷zV0[Y^>Wsqs}\/@$(T7f.InݺiR$푔n.~?H))\ZRW'Mo~v Ov6oԃxz! S,&xm/yɞԟ?'uaSѽb,8GלKboi&3t7Y,)JJ c[nzӳdE&KsZLӄ I?@&%ӟ۶mSMMњ0iؐSZ,|J+N ~,0A0!5%Q-YQQa3}$_vVrf9f?S8`zDADADADADADADADADAdqP,تmMmg1V?rSI꒟]u|l RCyEf٢9 jURbztѰ!m5~tGj2DhG*{H9)꒟ר3:(+3\?/;TUݭʴ~S6lڧUJ*i$d(#=Yݺd{,p|3B))q:vN0Y.jkק6;SɶVzHJJЀ-utѹսk>QUU\޲~]fFnK?&ߡ5b=z9)^|u_k-[y%ZNU6 7Mi:]ۦtk[n X(e6Bb."8cۭ|~teuuw|ήI-5"~Uk;ZicEmN/:]M> cQ^uiƞ??Ңpc#TUU3UakNwA`:Y_V-8.KKfRitv޲* 9S6ֿj,ՃNOMߤ]z^fOh|<>@Å5 _/Iu?{SY4hK/2]4%it5q]GGe2%iR| W&f*^]??vq[LgE_3f}Fxu~}qd-ږFxu~I N>\;͗O֊:̗WJ@BhW=y|GgwܷH_NY?)Tdi'?խwhlmQi !SUUsw4kӺe4rfxu-[nHtMFj}H_u~w>)oV}(T'ebʒv3_[+vn@Ȭ\S}ot}w=kHFnxg S 0eޢm~l}uqZfFoZuuEg `zt~? b;t%>WTkķh[2eG8LIWx,^\thrl^Ϊ{=dž<}qV@ ⠨Wy^LF_>0UkDuʫuCs$)Iv:IK;6ֲ4{^6եm+l3>݆uM 9u?>Zc }g~qhKwڭeFMM~pМuqǿz6Tb@8@Y|jx](^]gf}M"tG -w.@vOqh~/HII`S[l.6nØXL9vUcOoB\xoǤ'T&IǍQw_wpv[kmO{w~>#=P1Pɞa-we:iǏlHo׈꒟f9SzH?+shk%Fs:qVhqY`jvO'ρ?PyX3lх]˾uV{ݞ]1,MzYNW~̈́ joYn}ȚF߾׮mS]F z+EDxm/d{F{-W-4wY듏:??_gPf ^3ecg ҵs8R2מz@TANGj)}CNi/R~}c:5{!ZHӋӾ6}T]G]7W6^n 9*,YqOZj:P?Q DFL|?-^.Ɵ7}fFh׶xe2Pscz1&5\cn[=Vn[ĶE鎀uˌd3GII k;lNmشOuuRVfBE]ۣeӶu :X-[(er4~LHi6:Ѻ@ԅrST0trk%$Č0ez" *z"T/X9|8.C5Feg}CQ%͞ˣJvL/?j^h&9xF`њZ(&yF&Iݻfg#W;3^{Wo^4'vV[[K';+mӍִ]AC@W?1^{එyh +^]fm~iԵ]AB@WTk̏t uR?l.OIHiYyԶ]Aˀ7c:q}ힽaf6Z~қm(+sK4{^6}T*UUu]n.:kx{:2 _m=sAߤU@?Z-Vކеz왍Nэ{|5 pڶn b p-@sPg]0G7fy-M{GCF'%{4`=$-Ge\ eU:m+Zt'WjO!OAF@ik&t݆ϥ_ e}=]"Wz_.͜E3leWFih|t-wZۍ-uw=6YN{6|} |*={Ѽn.S.z1zjۻTH]흾 DuDvmvK.`V]yY~sI@t?/ϓ. m&["+P?MzovVЫG3-GRR[(!!\_,^%?v@ҵő m`Y)tem8GMx.))A]Y i`ViW`?^~!S#^+ѽGZj?Vģ0.))A꨷lzL*]OXrY`DBBLOj{-MH'ii-ϰ ok7^ )쭡b]UXSְmռY|5*cֽk0B7镹%ڽP#8nȎq}mJr23_>lE5$iwui+ H~F`IjƵ@q \ @#qG0".0" l`„.0! ,AQHN6qzkKJ#o;`Xv2>,tێJJ7Z/*A .@fفjMzkg @TvZH3Zxu6Ra'%O?/dQ5xYkU]Rֽkق@DaS^RSּ5|BeHNN͘p HvcYcC5:y #`οb;z2.!kr}gUWkyZn=f Pvsn3p~;4p˚=ē~NmI] ¾ 0lH[_L hsh_ғߤc_њec)g7VIZ5yrgk̞W#IjӪv>՞y睝M8[|]\շ8M6%|@PZڨI-m>=k='aiRo-x?>Q.}`Ȏ:Wsmu u > .@,&;+!!˱tﭧDQwRW\vF\~Q7>spYw$%A~;~}6¾ g&if_=j,v+UL1(tWake:@Ș>j$Gq2t7S?vL|]u/ .(0E6Mk6hiۺzښOrifޱxm/Gx> Lal%%~{lBsR4*}{0Z/tNIɚpV^#Lf:u@k#RSu =S^ZyuR/.@n&΃z~B=0eg뺆#,Þ[B/?H uUf7y Wy}Bwegל`Wh(||`l`.;Ws?V@"c:iɍL֯PGv6zctM̠':wuW;d=;EveD}9J@B(0iհ bvP1{\P&G7D޴Iy_$-Qjm~Yrr&]CDv%bh|Yzni_ˆR;kg}nJOIIwyuL}{ЌNj}:+3Y?:WJ/N+Rzd=hb;dj͒suݔ@NKMԄ jqzC5@y°hL m;*5ezᕏ=ep XL n?מ:r`۵tŤZ|1v`V뽧_csج'ߤ%oTuumk%%%h)uy]Nk[n 'b2 l.=͜E%gf$[c;s:V-͞WߤWh-j7]4=F-X]>ZLSi[Y*We;Zan(ӇW|e(HNNP5[= r4tP &0<pc#`vTNV GFqvTi*Tyam$ߏWyE*VJKMTfFw>'$-ؽ.Ho.8c"@DADADADADADADADADA~j*֘,N;Pi3599h=goضLgiJ5փy~}&Zd9p֚ e:|hL``b/d9p? fgg+%%hMgXosج, ΩOl0Zh=xdjLmhݻoO[g_l,8a]٭+ӧ0$I]c]:粹:Teꢢ"5a^Kgh,&= =՟^߶“ߢE ܹS J}I%:8 IDAT~,9/ʃPW'Mo}zNƍ쨓zPbNZ~^z=4mswg;5 Y~SVMRXUյڱRf?s:w ;6H:ºi5-maM&O3;1IKeamZh͛7+##v+c ~u~ca]GnF'ټL~PPPbn voC4R,ӟgg %hq}@#M4IÇ Oy^xMZx ) yOw@HkN˖-Sǎmb]X@n+i͖!++K3gd\$mt$^YfJ\8PRF)77Wא!Cl$i:@@_oG I{$# 8磌ŋ91A (Im7֭>}ߴJq7ޗt^ -[ԩSj*}%]&' -ɓ'ꫯVzzvB#;a 7@GxI{j޼ƌ.LÇWBB7`O"I$/@R @eee@۷>}0,ɒ2$53Xs|cS~rpTYYY} kHc %&k.], @ADADADADADADADADA@lT<%''*Lo^={رc5h %$+CnܸQ3fҥK}vUVVs9G R,_{xˇ3o߾;TTTd}馛]uuuG~iԩ@4bnvmvfϞ /Peeeq}}za I~,誫{UWW뮻}_~YƍSMMMYχ֝waw\ďcxꩧtEƍկ_?۷5@u?1kNׯWzz/wy>}zj3 k(ٺuq_Zvf̘:~ ABQ&r|!%KҥKgԞ={<_X-z !CyFUUz~ ABQIIIjݺW$UXXDٳZ~ ABQƍecW$<(~<RSSvZujjjԧOZQu@4 8m&&&jԩg$ď1h ͟?_{768@g =@`)))5o6m3)ѣƌJ;wҿUTT /KZR{~a=@0o<*狔iFɶ[ˎ;T]]OX@?K.ۈxN pppppppppppppppppPfl߾] ,{ｧk۶mڿo5BTӦMӴiӴ|r DB2e|An!Dy'tkΝ[A $***t5' "!駟oaDnΝ:t֭[gDШQ06qD;@ x M6v(PiizmZ4ew"@̴ixf [~-Fٱc&IZ2|n!?$@{[HTɏ#@hȎI# _m(F /6Z3z'\r,r!;w2Z3j=~GY7"I$iI.p_"?pN`y DD?: _  Gÿab7J !Bx@0 Bo cG@`1C[@0G @`0C_u V1 aCX>W ` | `!<S `"<. `#c`?cAC4 ?c p#~@0?:08&_MQ1J h#?/`7;I  q 7a wQ A 1 Hp !#<8/#@1Ul7=S=K.4Z?E_$i@!1!E4?`P_  @Bă10#: "aU,xbFY1 [n|n #'vEH:`xb #vD4Y hi.i&EΖv#O H4IŶ}:Ikh @tZRF#(tXҙzZ ?I3l7q@õ|ۍ1,GpuY Ꮿ@hJv#xxk$ v#9 5 }_$c S#=+"K{F*m7`#%H:NRSp6I?sIՖ{Ap$I$I:QRv2$Z @UJ*$]<FO4IENDB`