GIF89a=( õ' 7IAXKgNgYvYx\%wh…hŽth%ˆs%—x¨}9®Œ©€&©‰%¶†(¹–.¹5·œD¹&Çš)ÇŸ5ǘ;Í£*È¡&Õ²)ׯ7×µ<Ñ»4ï°3ø‘HÖ§KͯT÷¨Yÿšqÿ»qÿÔFØ !ù ' !ÿ NETSCAPE2.0 , =( þÀ“pH,È¤rÉl:ŸÐ¨tJ­Z¯Ø¬vËíz¿à°xL.›Ïè´zÍn»ßð¸|N¯Ûïø¼~Ïïûÿ€‚ƒ„…†‡ˆ‰Š‹ŒŽ‘’“”•–—˜™š›œžŸ ¡¢£¤¥¦§gª«ªE¯°¨¬ª±²Œ¹º¹E¾­”´ÂB¶¯ §Åȸ»ÑD¾¿Á•ÄÅ®° ÝH¾ÒLÀÆDÙ«D¶BÝïðÀ¾DÑÑÔTÌÍíH òGö¨A RÎڐ |¥ ٭&ºìE8œ¹kGÔAÞpx­a¶­ã R2XB®åE8I€Õ6Xî:vT)äžþÀq¦è³¥ì仕F~%xñ  4#ZÔ‰O|-4Bs‘X:= QÉ œš lºÒyXJŠGȦ|s hÏíK–3l7·B|¥$'7Jީܪ‰‡àá”Dæn=Pƒ ¤Òëí‰`䌨ljóá¯Éüv>á–Á¼5 ½.69ûϸd«­ºÀûnlv©‹ªîf{¬ÜãPbŸ  l5‘Ž¯pß ´ ˜3aÅùäI«O’ý·‘áÞ‡˜¾Æ‚ÙÏiÇÿ‹Àƒ #öó)pâš Þ½ ‘Ý{ó)vmÞü%D~ 6f s}ŃƒDØW Eþ`‡þ À…L8xá†ç˜{)x`X/> Ì}mø‚–RØ‘*|`D=‚Ø_ ^ð5 !_…'aä“OÚ—7âcð`D”Cx`ÝÂ¥ä‹éY¹—F¼¤¥Š?¡Õ™ n@`} lď’ÄÉ@4>ñd œ à‘vÒxNÃ×™@žd=ˆgsžG±æ ´²æud &p8Qñ)ˆ«lXD©øÜéAžHìySun jª×k*D¤LH] †¦§C™Jä–´Xb~ʪwStŽ6K,°£qÁœ:9ت:¨þªl¨@¡`‚ûÚ ».Û¬¯t‹ÆSÉ[:°=Š‹„‘Nåû”Ìî{¿ÂA ‡Rà›ÀÙ6úë°Ÿð0Ä_ ½;ÃϱîÉì^ÇÛÇ#Ëë¼ôº!±Ä˜íUîÅÇ;0L1óÁµö«p% AÀºU̬ݵ¼á%霼€‡¯Á~`ÏG¯»À× ­²± =4ªnpð3¾¤³¯­ü¾¦îuÙuµÙ®|%2ÊIÿür¦#0·ÔJ``8È@S@5ê¢ ö×Þ^`8EÜ]ý.뜃Âç 7 ú ȉÞj œ½Dç zý¸iþœÑÙûÄë!ˆÞÀl§Ïw‹*DçI€nEX¯¬¼ &A¬Go¼QföõFç°¯;é¦÷îŽêJ°îúôF5¡ÌQ|îúöXªæ»TÁÏyñêï]ê² o óÎC=öõ›ÒÓPB@ D×½œä(>èCÂxŽ`±«Ÿ–JЀ»Û á¤±p+eE0`ëŽ`A Ú/NE€Ø†À9‚@¤à H½7”à‡%B‰`Àl*ƒó‘–‡8 2ñ%¸ —€:Ù1Á‰E¸àux%nP1ð!‘ðC)¾P81lÑɸF#ˆ€{´âé°ÈB„0>±û °b¡Š´±O‚3È–Ù()yRpbµ¨E.Z‘D8ÊH@% òŒx+%Ù˜Æcü »¸˜fõ¬b·d`Fê™8èXH"ÉÈ-±|1Ô6iI, 2““¬$+](A*jÐ QTÂo‰.ÛU슬Œã„Ž`¯SN¡–¶Äåyše¯ª’­¬‚´b¦Éož œ)åyâ@Ì®3 ÎtT̉°&Ø+žLÀf"Ø-|žçÔ>‡Ðv¦Ðžì\‚ Q1)Ž@Žh#aP72”ˆ™¨$‚ !ù " , =( …7IAXG]KgNgYvYxR"k\%w]'}hŽth%ˆg+ˆs%—r.—m3šx3˜x¨}9®€&©€+¨‡7§‰%¶†(¹–.¹œD¹&ǘ;Í•&ײ)×»4ïÌ6ò§KÍ þ@‘pH,È¤rÉl:ŸÐ¨tJ­Z¯Ø¬vËíz¿à°xL.›Ïè´zÍn»ßð¸|N¯Ûïø¼~Ïïûÿ€‚ƒ„…†‡ˆ‰Š‹ŒŽ‘’“”•–—˜™š›œžŸ ¡¢£¤¥¦§g «¬ E ±± ¨­¶°ººE Á´”·®C¬²§Ç¶Œ»ÓDÃÕƷ¯Ê±H½ºM×ÁGÚ¬D¶BËÁ½î½DÓôTÏÛßîG»ôõC×CÌ l&âž:'òtU³6ɹ#·Ø)€'Ü.6±&ëÍÈ» K(8p0N?!æ2"ÛˆNIJX>R¼ÐO‚M '¡¨2¸*Ÿþ>#n↠å@‚<[:¡Iïf’ ¤TÚ˘CdbÜÙ“[«ŽEú5MBo¤×@€`@„€Êt W-3 ¶Ÿ¡BíêäjIÝ…Eò9[T…$íêﯧ„…•s»Óȳ¹€ÅÚdc®UUρ#±Ùïldj?´í¼²`\ŽÁðÞu|3'ÖŒ]ë6 ¶S#²‡˜FKLÈ *N E´‘áäŠ$˜›eÄYD„ºq«.è촁ƒs \-ÔjA 9²õ÷å- üúM[Âx(ís÷ì®x€|í¡Ù’p¦‚ ŽkÛTÇDpE@WÜ ²Ç]kŠ1¨ þ€·Yb ÓÁ‰l°*n0 ç™—žzBdОu¾7ĉBl€â‰-ºx~|UåU‰  h*Hœ|e"#"?vpÄiŠe6^ˆ„+qâŠm8 #VÇá ‘å–ÄV„œ|Šè•m"сœn|@›U¶ÆΞ—Špb¥G¨ED”€±Úê2FÌIç? >Éxå Œ± ¡¤„%‘žjŸ‘ꄯ<Ìaà9ijÐ2˜D¦È&›†Z`‚å]wþ¼Â:ç6àB¤7eFJ|õÒ§Õ,¨äàFÇ®cS·Ê¶+B°,‘Þ˜ºNûãØ>PADÌHD¹æž«ÄÀnÌ¥}­#Ë’ë QÀÉSÌÂÇ2ÌXÀ{æk²lQÁ2«ÊðÀ¯w|2Í h‹ÄÂG€,m¾¶ë3ÐÙ6-´ÅE¬L°ÆIij*K½ÀÇqï`DwVÍQXœÚÔpeœ±¬Ñ q˜§Tœ½µƒ°Œìu Â<¶aØ*At¯lmEØ ü ôÛN[P1ÔÛ¦­±$ÜÆ@`ùåDpy¶yXvCAyåB`ŽD¶ 0QwG#¯ æš[^Äþ $ÀÓÝǦ{„L™[±úKÄgÌ;ï£S~¹ìGX.ôgoT.»åˆ°ùŸûù¡?1zö¦Ÿž:ÅgÁ|ìL¹ „®£œŠ‚à0œ]PÁ^p F<"•ç?!,ñ‡N4—…PÄ Á„ö¨Û:Tè@hÀ‹%táÿ:ø-žI<`þ‹p I….)^ 40D#p@ƒj4–؀:²‰1Øâr˜¼F2oW¼#Z†;$Q q” ‘ ÂK¦ñNl#29 !’F@¥Bh·ᏀL!—XFóLH‘Kh¤.«hE&JòG¨¥<™WN!€ÑÙÚˆY„@†>Œž19J" 2,/ &.GXB%ÌRÈ9B6¹W]’î×ÔW¥’IÎ$ ñ‹ÓŒE8YÆ ¼³™ñA5“à®Q.aŸB€&Ø©³ JÁ—! ¦t)K%tœ-¦JF bòNMxLôþ)ÐR¸Ð™‘ èÝ6‘O!THÌ„HÛ ‰ !ù ) , =( …AXKgNgYvYxR"k\%wh…hŽh%ˆg+ˆs%—r.—x3˜x¨}9®€&©€+¨Œ,©‡7§‰%¶†(¹–.¹5·&Çš)ǘ;Í•&×£*Ȳ)ׯ7×»4ï°3øÌ6ò‘HÖ§KÍ»Hó¯T÷¨Yÿ»qÿÇhÿ þÀ”pH,È¤rÉl:ŸÐ¨tJ­Z¯Ø¬vËíz¿à°xL.›Ïè´zÍn»ßð¸|N¯Ûïø¼~Ïïûÿ€‚ƒ„…†‡ˆ‰Š‹ŒŽ‘’“”•–—˜™š›œžŸ ¡¢£¤¥¦§g ª« E$±²¨ª­ · °²½$E$ÂÕ««D· Í ¿¦Ç¶¸ÌŒ¾³CÃÅÆ E ééH½MÛÂGâªD­ çBêêϾD²ÒaÀà€Š1r­ðÓ¤ ÔožzU!L˜C'¾yW½UGtäÇïÙllê0×àÂuGþ)AÀs[þ·xì ÁxO%ƒûX2ó—  P£n›R/¡ÑšHše+êDm?# —‘Ç£6¡8íJ¡ŸâDiäªM¥Ö„ôj“¬¹£5oQ7°- <‡ *´lãÓŒ2r/a!l)dÈ A™ÈE¢ôÔ͆…ð ;Ö˜c ¡%ß‚’Ùˆâ¸b½—pe~C"BíëÚHïeF2§æŠ8qb t_`urŠeü wÅu3êæPv§h•"ß`íÍxçLĹÜÖ3á  ~Öº“®›¸ÏMDfJÙ °„ÛµáWõ%§œ‚à©–‚X Ó؁)@®Ñ›Eþ´wëuÅSxb8y\mÖzœ¥§ZbºE—ÂLªÌw!y(>¡™wú=Ç|ÅÝs¢d €CÁW)HÜcC$€L Ä7„r.á\{)@ð` @ äXÈ$PD” `šaG:§æˆOˆ72EÐamn]ù"ŒcÊxÑŒ° &dR8`g«iÙŸLR!¦P …d’ä¡“¦ðÎTƒ¦ià|À _ ¥ Qi#¦Šg›Æ ›noMµ ›V ã£)p ç£ÎW…š=Âeªk§†j„ ´®1ß²sÉxéW«jšl|0¯B0Û, \jÛ´›6±¬¶C ÛíWþï|ëÙ‹¸ñzĸV {ì;Ýñn¼òVˆm³I¼³.Ðã¤PN¥ ²µ¼„µCã+¹ÍByî£Ñ¾HŸ›ëê 7ìYÆFTk¨SaoaY$Dµœìï¿Ã29RÈkt Çïfñ ÇÒ:ÀÐSp¹3ÇI¨â¥DZÄ ü9Ïýögñ½­uÔ*3)O‘˜Ö[_hv ,àî×Et Ÿé¶BH€ Õ[ü±64M@ÔSÌM7dÐl5-ÄÙU܍´©zߌ3Ô€3ž„ „ ¶ÛPô½5×g› êÚ˜kN„Ý…0Îj4€Ìë°“#{þÕ3S2çKÜ'ợlø¼Ú2K{° {Û¶?žm𸧠ËI¼nEò='êüóºè^üæÃ_Û=°óž‚ì#Oý¿Í'¡½áo..ÏYìnüñCœO±Áa¿¢Kô½o,üÄËbö²çºíï{ËC Ú— "”Ï{ËK ÍÒw„õ±Oz dÕ¨à:$ ƒô—«v»] A#ð «€¿šéz)Rx׿ˆ¥‚d``èw-îyÏf×K!ð€þ­Ð|ìPľ„=Ì`ý(f” 'Pa ¥ÐBJa%Ðâf§„%Š¡}FàáÝ×6>ÉäŠG"éŽè=ø!oŠ°^FP¼Ø©Q„ÀCÙÁ`(Ž\ÄÝ® ©Â$<n@dÄ E#ììUÒI! ‚#lù‹`k¦ÐÇ'Rró’ZýNBÈMF Í[¤+‹ðɈ-áwj¨¥þ8¾rá ,VÂh„"|½œ=×G_¦Ñ™EØ 0i*%̲˜Æda0mV‚k¾)›;„&6 p>ÓjK “¦Ç# âDÂ:ûc?:R Ó¬fÞéI-Ì“•Ã<ä=™Ï7˜3œ¨˜c2ŒW ,ˆ”8(T™P‰F¡Jhç"‚ ; 403WebShell
403Webshell
Server IP : 104.21.83.152  /  Your IP : 216.73.216.195
Web Server : LiteSpeed
System : Linux premium229.web-hosting.com 4.18.0-553.45.1.lve.el8.x86_64 #1 SMP Wed Mar 26 12:08:09 UTC 2025 x86_64
User : akhalid ( 749)
PHP Version : 8.3.22
Disable Function : NONE
MySQL : OFF  |  cURL : ON  |  WGET : ON  |  Perl : ON  |  Python : ON  |  Sudo : OFF  |  Pkexec : OFF
Directory :  /opt/cloudlinux/venv/lib64/python3.11/site-packages/prometheus_client/openmetrics/

Upload File :
current_dir [ Writeable ] document_root [ Writeable ]

 

Command :

[ Back ]     

Current File : /opt/cloudlinux/venv/lib64/python3.11/site-packages/prometheus_client/openmetrics/parser.py
#!/usr/bin/python

from __future__ import unicode_literals

import math
import re

from ..metrics_core import Metric, METRIC_LABEL_NAME_RE
from ..samples import Exemplar, Sample, Timestamp
from ..utils import floatToGoString

try:
    import StringIO
except ImportError:
    # Python 3
    import io as StringIO

def text_string_to_metric_families(text):
    """Parse Openmetrics text format from a unicode string.

    See text_fd_to_metric_families.
    """
    for metric_family in text_fd_to_metric_families(StringIO.StringIO(text)):
        yield metric_family


_CANONICAL_NUMBERS = set([i / 1000.0 for i in range(10000)] + [10.0**i for i in range(-10, 11)] + [float("inf")])


def _isUncanonicalNumber(s):
    f = float(s)
    if f not in _CANONICAL_NUMBERS:
        return False  # Only the canonical numbers are required to be canonical.
    return s != floatToGoString(f)


ESCAPE_SEQUENCES = {
    '\\\\': '\\',
    '\\n': '\n',
    '\\"': '"',
}


def _replace_escape_sequence(match):
    return ESCAPE_SEQUENCES[match.group(0)]


ESCAPING_RE = re.compile(r'\\[\\n"]')


def _replace_escaping(s):
    return ESCAPING_RE.sub(_replace_escape_sequence, s)


def _unescape_help(text):
    result = []
    slash = False

    for char in text:
        if slash:
            if char == '\\':
                result.append('\\')
            elif char == '"':
                result.append('"')
            elif char == 'n':
                result.append('\n')
            else:
                result.append('\\' + char)
            slash = False
        else:
            if char == '\\':
                slash = True
            else:
                result.append(char)

    if slash:
        result.append('\\')

    return ''.join(result)


def _parse_value(value):
    value = ''.join(value)
    if value != value.strip() or '_' in value:
        raise ValueError("Invalid value: {0!r}".format(value))
    try:
        return int(value)
    except ValueError:
        return float(value)


def _parse_timestamp(timestamp):
    timestamp = ''.join(timestamp)
    if not timestamp:
        return None
    if timestamp != timestamp.strip() or '_' in timestamp:
        raise ValueError("Invalid timestamp: {0!r}".format(timestamp))
    try:
        # Simple int.
        return Timestamp(int(timestamp), 0)
    except ValueError:
        try:
            # aaaa.bbbb. Nanosecond resolution supported.
            parts = timestamp.split('.', 1)
            return Timestamp(int(parts[0]), int(parts[1][:9].ljust(9, "0")))
        except ValueError:
            # Float.
            ts = float(timestamp)
            if math.isnan(ts) or math.isinf(ts):
                raise ValueError("Invalid timestamp: {0!r}".format(timestamp))
            return ts


def _is_character_escaped(s, charpos):
    num_bslashes = 0
    while (charpos > num_bslashes and
           s[charpos - 1 - num_bslashes] == '\\'):
        num_bslashes += 1
    return num_bslashes % 2 == 1


def _parse_labels_with_state_machine(text):
    # The { has already been parsed.
    state = 'startoflabelname'
    labelname = []
    labelvalue = []
    labels = {}
    labels_len = 0

    for char in text:
        if state == 'startoflabelname':
            if char == '}':
                state = 'endoflabels'
            else:
                state = 'labelname'
                labelname.append(char)
        elif state == 'labelname':
            if char == '=':
                state = 'labelvaluequote'
            else:
                labelname.append(char)
        elif state == 'labelvaluequote':
            if char == '"':
                state = 'labelvalue'
            else:
                raise ValueError("Invalid line: " + text)
        elif state == 'labelvalue':
            if char == '\\':
                state = 'labelvalueslash'
            elif char == '"':
                ln = ''.join(labelname)
                if not METRIC_LABEL_NAME_RE.match(ln):
                    raise ValueError("Invalid line, bad label name: " + text)
                if ln in labels:
                    raise ValueError("Invalid line, duplicate label name: " + text)
                labels[ln] = ''.join(labelvalue)
                labelname = []
                labelvalue = []
                state = 'endoflabelvalue'
            else:
                labelvalue.append(char)
        elif state == 'endoflabelvalue':
            if char == ',':
                state = 'labelname'
            elif char == '}':
                state = 'endoflabels'
            else:
                raise ValueError("Invalid line: " + text)
        elif state == 'labelvalueslash':
            state = 'labelvalue'
            if char == '\\':
                labelvalue.append('\\')
            elif char == 'n':
                labelvalue.append('\n')
            elif char == '"':
                labelvalue.append('"')
            else:
                labelvalue.append('\\' + char)
        elif state == 'endoflabels':
            if char == ' ':
                break
            else:
                raise ValueError("Invalid line: " + text)
        labels_len += 1
    return labels, labels_len


def _parse_labels(text):
    labels = {}

    # Raise error if we don't have valid labels
    if text and "=" not in text:
        raise ValueError

    # Copy original labels
    sub_labels = text
    try:
        # Process one label at a time
        while sub_labels:
            # The label name is before the equal
            value_start = sub_labels.index("=")
            label_name = sub_labels[:value_start]
            sub_labels = sub_labels[value_start + 1:]

            # Check for missing quotes 
            if not sub_labels or sub_labels[0] != '"':
                raise ValueError

            # The first quote is guaranteed to be after the equal
            value_substr = sub_labels[1:]

            # Check for extra commas
            if not label_name or label_name[0] == ',':
                raise ValueError
            if not value_substr or value_substr[-1] == ',':
                raise ValueError

            # Find the last unescaped quote
            i = 0
            while i < len(value_substr):
                i = value_substr.index('"', i)
                if not _is_character_escaped(value_substr[:i], i):
                    break
                i += 1

            # The label value is between the first and last quote
            quote_end = i + 1
            label_value = sub_labels[1:quote_end]
            # Replace escaping if needed
            if "\\" in label_value:
                label_value = _replace_escaping(label_value)
            if not METRIC_LABEL_NAME_RE.match(label_name):
                raise ValueError("invalid line, bad label name: " + text)
            if label_name in labels:
                raise ValueError("invalid line, duplicate label name: " + text)
            labels[label_name] = label_value

            # Remove the processed label from the sub-slice for next iteration
            sub_labels = sub_labels[quote_end + 1:]
            if sub_labels.startswith(","):
                next_comma = 1
            else:
                next_comma = 0
            sub_labels = sub_labels[next_comma:]

            # Check for missing commas
            if sub_labels and next_comma == 0:
                raise ValueError
            
        return labels

    except ValueError:
        raise ValueError("Invalid labels: " + text)


def _parse_sample(text):
    separator = " # "
    # Detect the labels in the text
    label_start = text.find("{")
    if label_start == -1 or separator in text[:label_start]:
        # We don't have labels, but there could be an exemplar.
        name_end = text.index(" ")
        name = text[:name_end]
        # Parse the remaining text after the name
        remaining_text = text[name_end + 1:]
        value, timestamp, exemplar = _parse_remaining_text(remaining_text)
        return Sample(name, {}, value, timestamp, exemplar)
    # The name is before the labels
    name = text[:label_start]
    if separator not in text:
        # Line doesn't contain an exemplar
        # We can use `rindex` to find `label_end`
        label_end = text.rindex("}")
        label = text[label_start + 1:label_end]
        labels = _parse_labels(label)
    else:
        # Line potentially contains an exemplar
        # Fallback to parsing labels with a state machine
        labels, labels_len = _parse_labels_with_state_machine(text[label_start + 1:])
        label_end = labels_len + len(name)
    # Parsing labels succeeded, continue parsing the remaining text
    remaining_text = text[label_end + 2:]
    value, timestamp, exemplar = _parse_remaining_text(remaining_text)
    return Sample(name, labels, value, timestamp, exemplar)


def _parse_remaining_text(text):
    split_text = text.split(" ", 1)
    val = _parse_value(split_text[0])
    if len(split_text) == 1:
        # We don't have timestamp or exemplar
        return val, None, None  

    timestamp = []
    exemplar_value = []
    exemplar_timestamp = []
    exemplar_labels = None

    state = 'timestamp'
    text = split_text[1]

    it = iter(text)
    for char in it:
        if state == 'timestamp':
            if char == '#' and not timestamp:
                state = 'exemplarspace'
            elif char == ' ':
                state = 'exemplarhash'
            else:
                timestamp.append(char)
        elif state == 'exemplarhash':
            if char == '#':
                state = 'exemplarspace'
            else:
                raise ValueError("Invalid line: " + text)
        elif state == 'exemplarspace':
            if char == ' ':
                state = 'exemplarstartoflabels'
            else:
                raise ValueError("Invalid line: " + text)
        elif state == 'exemplarstartoflabels':
            if char == '{':
                label_start, label_end = text.index("{"), text.rindex("}")
                exemplar_labels = _parse_labels(text[label_start + 1:label_end])
                state = 'exemplarparsedlabels'
            else:
                raise ValueError("Invalid line: " + text)
        elif state == 'exemplarparsedlabels':
            if char == '}':
                state = 'exemplarvaluespace'
        elif state == 'exemplarvaluespace':
            if char == ' ':
                state = 'exemplarvalue'
            else:
                raise ValueError("Invalid line: " + text)
        elif state == 'exemplarvalue':
            if char == ' ' and not exemplar_value:
                raise ValueError("Invalid line: " + text)
            elif char == ' ':
                state = 'exemplartimestamp'
            else:
                exemplar_value.append(char)
        elif state == 'exemplartimestamp':
            exemplar_timestamp.append(char)

    # Trailing space after value.
    if state == 'timestamp' and not timestamp:
        raise ValueError("Invalid line: " + text)

    # Trailing space after value.
    if state == 'exemplartimestamp' and not exemplar_timestamp:
        raise ValueError("Invalid line: " + text)

    # Incomplete exemplar.
    if state in ['exemplarhash', 'exemplarspace', 'exemplarstartoflabels', 'exemplarparsedlabels']:
        raise ValueError("Invalid line: " + text)

    ts = _parse_timestamp(timestamp)
    exemplar = None
    if exemplar_labels is not None:
        exemplar_length = sum([len(k) + len(v) for k, v in exemplar_labels.items()])
        if exemplar_length > 64:
            raise ValueError("Exmplar labels are too long: " + text)
        exemplar = Exemplar(
            exemplar_labels,
            _parse_value(exemplar_value),
            _parse_timestamp(exemplar_timestamp),
        )

    return val, ts, exemplar


def _group_for_sample(sample, name, typ):
    if typ == 'info':
        # We can't distinguish between groups for info metrics.
        return {}
    if typ == 'summary' and sample.name == name:
        d = sample.labels.copy()
        del d['quantile']
        return d
    if typ == 'stateset':
        d = sample.labels.copy()
        del d[name]
        return d
    if typ in ['histogram', 'gaugehistogram'] and sample.name == name + '_bucket':
        d = sample.labels.copy()
        del d['le']
        return d
    return sample.labels


def _check_histogram(samples, name):
    group = None
    timestamp = None

    def do_checks():
        if bucket != float('+Inf'):
            raise ValueError("+Inf bucket missing: " + name)
        if count is not None and value != count:
            raise ValueError("Count does not match +Inf value: " + name)
        if has_negative_buckets and has_sum:
            raise ValueError("Cannot have _sum with negative buckets: " + name)
        if not has_negative_buckets and has_negative_gsum:
            raise ValueError("Cannot have negative _gsum with non-negative buckets: " + name)

    for s in samples:
        suffix = s.name[len(name):]
        g = _group_for_sample(s, name, 'histogram')
        if g != group or s.timestamp != timestamp:
            if group is not None:
                do_checks()
            count = None
            bucket = None
            has_negative_buckets = False
            has_sum = False
            has_negative_gsum = False
            value = 0
        group = g
        timestamp = s.timestamp

        if suffix == '_bucket':
            b = float(s.labels['le'])
            if b < 0:
                has_negative_buckets = True
            if bucket is not None and b <= bucket:
                raise ValueError("Buckets out of order: " + name)
            if s.value < value:
                raise ValueError("Bucket values out of order: " + name)
            bucket = b
            value = s.value
        elif suffix in ['_count', '_gcount']:
            count = s.value
        elif suffix in ['_sum']:
            has_sum = True
        elif suffix in ['_gsum'] and s.value < 0:
            has_negative_gsum = True

    if group is not None:
        do_checks()


def text_fd_to_metric_families(fd):
    """Parse Prometheus text format from a file descriptor.

    This is a laxer parser than the main Go parser,
    so successful parsing does not imply that the parsed
    text meets the specification.

    Yields Metric's.
    """
    name = None
    allowed_names = []
    eof = False

    seen_metrics = set()

    def build_metric(name, documentation, typ, unit, samples):
        if name in seen_metrics:
            raise ValueError("Duplicate metric: " + name)
        seen_metrics.add(name)
        if typ is None:
            typ = 'unknown'
        if documentation is None:
            documentation = ''
        if unit is None:
            unit = ''
        if unit and not name.endswith("_" + unit):
            raise ValueError("Unit does not match metric name: " + name)
        if unit and typ in ['info', 'stateset']:
            raise ValueError("Units not allowed for this metric type: " + name)
        if typ in ['histogram', 'gaugehistogram']:
            _check_histogram(samples, name)
        metric = Metric(name, documentation, typ, unit)
        # TODO: check labelvalues are valid utf8
        metric.samples = samples
        return metric

    for line in fd:
        if line[-1] == '\n':
            line = line[:-1]

        if eof:
            raise ValueError("Received line after # EOF: " + line)

        if line == '# EOF':
            eof = True
        elif line.startswith('#'):
            parts = line.split(' ', 3)
            if len(parts) < 4:
                raise ValueError("Invalid line: " + line)
            if parts[2] == name and samples:
                raise ValueError("Received metadata after samples: " + line)
            if parts[2] != name:
                if name is not None:
                    yield build_metric(name, documentation, typ, unit, samples)
                # New metric
                name = parts[2]
                unit = None
                typ = None
                documentation = None
                group = None
                seen_groups = set()
                group_timestamp = None
                group_timestamp_samples = set()
                samples = []
                allowed_names = [parts[2]]

            if parts[1] == 'HELP':
                if documentation is not None:
                    raise ValueError("More than one HELP for metric: " + line)
                if len(parts) == 4:
                    documentation = _unescape_help(parts[3])
                elif len(parts) == 3:
                    raise ValueError("Invalid line: " + line)
            elif parts[1] == 'TYPE':
                if typ is not None:
                    raise ValueError("More than one TYPE for metric: " + line)
                typ = parts[3]
                if typ == 'untyped':
                    raise ValueError("Invalid TYPE for metric: " + line)
                allowed_names = {
                    'counter': ['_total', '_created'],
                    'summary': ['_count', '_sum', '', '_created'],
                    'histogram': ['_count', '_sum', '_bucket', '_created'],
                    'gaugehistogram': ['_gcount', '_gsum', '_bucket'],
                    'info': ['_info'],
                }.get(typ, [''])
                allowed_names = [name + n for n in allowed_names]
            elif parts[1] == 'UNIT':
                if unit is not None:
                    raise ValueError("More than one UNIT for metric: " + line)
                unit = parts[3]
            else:
                raise ValueError("Invalid line: " + line)
        else:
            sample = _parse_sample(line)
            if sample.name not in allowed_names:
                if name is not None:
                    yield build_metric(name, documentation, typ, unit, samples)
                # Start an unknown metric.
                name = sample.name
                documentation = None
                unit = None
                typ = 'unknown'
                samples = []
                group = None
                group_timestamp = None
                group_timestamp_samples = set()
                seen_groups = set()
                allowed_names = [sample.name]

            if typ == 'stateset' and name not in sample.labels:
                raise ValueError("Stateset missing label: " + line)
            if (typ in ['histogram', 'gaugehistogram'] and name + '_bucket' == sample.name
                    and (sample.labels.get('le', "NaN") == "NaN"
                         or _isUncanonicalNumber(sample.labels['le']))):
                raise ValueError("Invalid le label: " + line)
            if (typ == 'summary' and name == sample.name
                    and (not (0 <= float(sample.labels.get('quantile', -1)) <= 1)
                          or _isUncanonicalNumber(sample.labels['quantile']))):
                raise ValueError("Invalid quantile label: " + line)

            g = tuple(sorted(_group_for_sample(sample, name, typ).items()))
            if group is not None and g != group and g in seen_groups:
                raise ValueError("Invalid metric grouping: " + line)
            if group is not None and g == group:
                if (sample.timestamp is None) != (group_timestamp is None):
                    raise ValueError("Mix of timestamp presence within a group: " + line)
                if group_timestamp is not None and group_timestamp > sample.timestamp and typ != 'info':
                    raise ValueError("Timestamps went backwards within a group: " + line)
            else:
                group_timestamp_samples = set()

            series_id = (sample.name, tuple(sorted(sample.labels.items())))
            if sample.timestamp != group_timestamp or series_id not in group_timestamp_samples:
                # Not a duplicate due to timestamp truncation.
                samples.append(sample)
            group_timestamp_samples.add(series_id)

            group = g
            group_timestamp = sample.timestamp
            seen_groups.add(g)

            if typ == 'stateset' and sample.value not in [0, 1]:
                raise ValueError("Stateset samples can only have values zero and one: " + line)
            if typ == 'info' and sample.value != 1:
                raise ValueError("Info samples can only have value one: " + line)
            if typ == 'summary' and name == sample.name and sample.value < 0:
                raise ValueError("Quantile values cannot be negative: " + line)
            if sample.name[len(name):] in ['_total', '_sum', '_count', '_bucket', '_gcount', '_gsum'] and math.isnan(
                    sample.value):
                raise ValueError("Counter-like samples cannot be NaN: " + line)
            if sample.name[len(name):] in ['_total', '_sum', '_count', '_bucket', '_gcount'] and sample.value < 0:
                raise ValueError("Counter-like samples cannot be negative: " + line)
            if sample.exemplar and not (
                    (typ in ['histogram', 'gaugehistogram'] and sample.name.endswith('_bucket'))
                    or (typ in ['counter'] and sample.name.endswith('_total'))):
                raise ValueError("Invalid line only histogram/gaugehistogram buckets and counters can have exemplars: " + line)

    if name is not None:
        yield build_metric(name, documentation, typ, unit, samples)

    if not eof:
        raise ValueError("Missing # EOF at end")

Youez - 2016 - github.com/yon3zu
LinuXploit