605 lines
21 KiB
Python
605 lines
21 KiB
Python
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#!/usr/bin/python
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from __future__ import unicode_literals
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import math
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import re
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from ..metrics_core import Metric, METRIC_LABEL_NAME_RE
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from ..samples import Exemplar, Sample, Timestamp
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from ..utils import floatToGoString
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try:
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import StringIO
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except ImportError:
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# Python 3
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import io as StringIO
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def text_string_to_metric_families(text):
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"""Parse Openmetrics text format from a unicode string.
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See text_fd_to_metric_families.
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"""
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for metric_family in text_fd_to_metric_families(StringIO.StringIO(text)):
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yield metric_family
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_CANONICAL_NUMBERS = set([i / 1000.0 for i in range(10000)] + [10.0**i for i in range(-10, 11)] + [float("inf")])
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def _isUncanonicalNumber(s):
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f = float(s)
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if f not in _CANONICAL_NUMBERS:
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return False # Only the canonical numbers are required to be canonical.
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return s != floatToGoString(f)
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ESCAPE_SEQUENCES = {
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'\\\\': '\\',
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'\\n': '\n',
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'\\"': '"',
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}
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def _replace_escape_sequence(match):
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return ESCAPE_SEQUENCES[match.group(0)]
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ESCAPING_RE = re.compile(r'\\[\\n"]')
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def _replace_escaping(s):
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return ESCAPING_RE.sub(_replace_escape_sequence, s)
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def _unescape_help(text):
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result = []
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slash = False
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for char in text:
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if slash:
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if char == '\\':
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result.append('\\')
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elif char == '"':
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result.append('"')
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elif char == 'n':
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result.append('\n')
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else:
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result.append('\\' + char)
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slash = False
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else:
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if char == '\\':
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slash = True
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else:
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result.append(char)
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if slash:
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result.append('\\')
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return ''.join(result)
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def _parse_value(value):
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value = ''.join(value)
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if value != value.strip() or '_' in value:
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raise ValueError("Invalid value: {0!r}".format(value))
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try:
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return int(value)
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except ValueError:
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return float(value)
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def _parse_timestamp(timestamp):
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timestamp = ''.join(timestamp)
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if not timestamp:
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return None
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if timestamp != timestamp.strip() or '_' in timestamp:
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raise ValueError("Invalid timestamp: {0!r}".format(timestamp))
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try:
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# Simple int.
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return Timestamp(int(timestamp), 0)
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except ValueError:
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try:
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# aaaa.bbbb. Nanosecond resolution supported.
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parts = timestamp.split('.', 1)
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return Timestamp(int(parts[0]), int(parts[1][:9].ljust(9, "0")))
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except ValueError:
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# Float.
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ts = float(timestamp)
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if math.isnan(ts) or math.isinf(ts):
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raise ValueError("Invalid timestamp: {0!r}".format(timestamp))
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return ts
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def _is_character_escaped(s, charpos):
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num_bslashes = 0
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while (charpos > num_bslashes and
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s[charpos - 1 - num_bslashes] == '\\'):
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num_bslashes += 1
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return num_bslashes % 2 == 1
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def _parse_labels_with_state_machine(text):
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# The { has already been parsed.
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state = 'startoflabelname'
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labelname = []
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labelvalue = []
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labels = {}
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labels_len = 0
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for char in text:
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if state == 'startoflabelname':
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if char == '}':
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state = 'endoflabels'
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else:
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state = 'labelname'
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labelname.append(char)
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elif state == 'labelname':
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if char == '=':
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state = 'labelvaluequote'
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else:
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labelname.append(char)
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elif state == 'labelvaluequote':
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if char == '"':
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state = 'labelvalue'
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else:
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raise ValueError("Invalid line: " + text)
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elif state == 'labelvalue':
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if char == '\\':
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state = 'labelvalueslash'
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elif char == '"':
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ln = ''.join(labelname)
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if not METRIC_LABEL_NAME_RE.match(ln):
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raise ValueError("Invalid line, bad label name: " + text)
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if ln in labels:
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raise ValueError("Invalid line, duplicate label name: " + text)
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labels[ln] = ''.join(labelvalue)
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labelname = []
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labelvalue = []
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state = 'endoflabelvalue'
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else:
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labelvalue.append(char)
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elif state == 'endoflabelvalue':
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if char == ',':
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state = 'labelname'
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elif char == '}':
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state = 'endoflabels'
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else:
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raise ValueError("Invalid line: " + text)
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elif state == 'labelvalueslash':
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state = 'labelvalue'
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if char == '\\':
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labelvalue.append('\\')
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elif char == 'n':
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labelvalue.append('\n')
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elif char == '"':
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labelvalue.append('"')
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else:
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labelvalue.append('\\' + char)
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elif state == 'endoflabels':
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if char == ' ':
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break
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else:
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raise ValueError("Invalid line: " + text)
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labels_len += 1
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return labels, labels_len
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def _parse_labels(text):
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labels = {}
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# Raise error if we don't have valid labels
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if text and "=" not in text:
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raise ValueError
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# Copy original labels
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sub_labels = text
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try:
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# Process one label at a time
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while sub_labels:
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# The label name is before the equal
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value_start = sub_labels.index("=")
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label_name = sub_labels[:value_start]
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sub_labels = sub_labels[value_start + 1:]
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# Check for missing quotes
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if not sub_labels or sub_labels[0] != '"':
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raise ValueError
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# The first quote is guaranteed to be after the equal
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value_substr = sub_labels[1:]
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# Check for extra commas
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if not label_name or label_name[0] == ',':
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raise ValueError
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if not value_substr or value_substr[-1] == ',':
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raise ValueError
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# Find the last unescaped quote
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i = 0
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while i < len(value_substr):
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i = value_substr.index('"', i)
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if not _is_character_escaped(value_substr[:i], i):
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break
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i += 1
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# The label value is between the first and last quote
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quote_end = i + 1
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label_value = sub_labels[1:quote_end]
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# Replace escaping if needed
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if "\\" in label_value:
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label_value = _replace_escaping(label_value)
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if not METRIC_LABEL_NAME_RE.match(label_name):
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raise ValueError("invalid line, bad label name: " + text)
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if label_name in labels:
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raise ValueError("invalid line, duplicate label name: " + text)
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labels[label_name] = label_value
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# Remove the processed label from the sub-slice for next iteration
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sub_labels = sub_labels[quote_end + 1:]
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if sub_labels.startswith(","):
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next_comma = 1
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else:
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next_comma = 0
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sub_labels = sub_labels[next_comma:]
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# Check for missing commas
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if sub_labels and next_comma == 0:
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raise ValueError
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return labels
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except ValueError:
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raise ValueError("Invalid labels: " + text)
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def _parse_sample(text):
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separator = " # "
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# Detect the labels in the text
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label_start = text.find("{")
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if label_start == -1 or separator in text[:label_start]:
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# We don't have labels, but there could be an exemplar.
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name_end = text.index(" ")
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name = text[:name_end]
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# Parse the remaining text after the name
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remaining_text = text[name_end + 1:]
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value, timestamp, exemplar = _parse_remaining_text(remaining_text)
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return Sample(name, {}, value, timestamp, exemplar)
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# The name is before the labels
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name = text[:label_start]
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if separator not in text:
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# Line doesn't contain an exemplar
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# We can use `rindex` to find `label_end`
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label_end = text.rindex("}")
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label = text[label_start + 1:label_end]
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labels = _parse_labels(label)
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else:
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# Line potentially contains an exemplar
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# Fallback to parsing labels with a state machine
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labels, labels_len = _parse_labels_with_state_machine(text[label_start + 1:])
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label_end = labels_len + len(name)
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# Parsing labels succeeded, continue parsing the remaining text
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remaining_text = text[label_end + 2:]
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value, timestamp, exemplar = _parse_remaining_text(remaining_text)
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return Sample(name, labels, value, timestamp, exemplar)
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def _parse_remaining_text(text):
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split_text = text.split(" ", 1)
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val = _parse_value(split_text[0])
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if len(split_text) == 1:
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# We don't have timestamp or exemplar
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return val, None, None
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timestamp = []
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exemplar_value = []
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exemplar_timestamp = []
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exemplar_labels = None
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state = 'timestamp'
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text = split_text[1]
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it = iter(text)
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for char in it:
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if state == 'timestamp':
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if char == '#' and not timestamp:
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state = 'exemplarspace'
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elif char == ' ':
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state = 'exemplarhash'
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else:
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timestamp.append(char)
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elif state == 'exemplarhash':
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if char == '#':
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state = 'exemplarspace'
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else:
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raise ValueError("Invalid line: " + text)
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elif state == 'exemplarspace':
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if char == ' ':
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state = 'exemplarstartoflabels'
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else:
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raise ValueError("Invalid line: " + text)
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elif state == 'exemplarstartoflabels':
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if char == '{':
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label_start, label_end = text.index("{"), text.rindex("}")
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exemplar_labels = _parse_labels(text[label_start + 1:label_end])
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state = 'exemplarparsedlabels'
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else:
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raise ValueError("Invalid line: " + text)
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elif state == 'exemplarparsedlabels':
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if char == '}':
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state = 'exemplarvaluespace'
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elif state == 'exemplarvaluespace':
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if char == ' ':
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state = 'exemplarvalue'
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else:
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raise ValueError("Invalid line: " + text)
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elif state == 'exemplarvalue':
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if char == ' ' and not exemplar_value:
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raise ValueError("Invalid line: " + text)
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elif char == ' ':
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state = 'exemplartimestamp'
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else:
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exemplar_value.append(char)
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elif state == 'exemplartimestamp':
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exemplar_timestamp.append(char)
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# Trailing space after value.
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if state == 'timestamp' and not timestamp:
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raise ValueError("Invalid line: " + text)
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# Trailing space after value.
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if state == 'exemplartimestamp' and not exemplar_timestamp:
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raise ValueError("Invalid line: " + text)
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# Incomplete exemplar.
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if state in ['exemplarhash', 'exemplarspace', 'exemplarstartoflabels', 'exemplarparsedlabels']:
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raise ValueError("Invalid line: " + text)
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ts = _parse_timestamp(timestamp)
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exemplar = None
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if exemplar_labels is not None:
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exemplar_length = sum([len(k) + len(v) for k, v in exemplar_labels.items()])
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if exemplar_length > 64:
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raise ValueError("Exmplar labels are too long: " + text)
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exemplar = Exemplar(
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exemplar_labels,
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_parse_value(exemplar_value),
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_parse_timestamp(exemplar_timestamp),
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)
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return val, ts, exemplar
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def _group_for_sample(sample, name, typ):
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if typ == 'info':
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# We can't distinguish between groups for info metrics.
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return {}
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if typ == 'summary' and sample.name == name:
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d = sample.labels.copy()
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del d['quantile']
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return d
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if typ == 'stateset':
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d = sample.labels.copy()
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del d[name]
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return d
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if typ in ['histogram', 'gaugehistogram'] and sample.name == name + '_bucket':
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d = sample.labels.copy()
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del d['le']
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return d
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return sample.labels
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def _check_histogram(samples, name):
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group = None
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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")
|