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233 lines
7.1 KiB
233 lines
7.1 KiB
from __future__ import unicode_literals
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import re
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from .metrics_core import Metric
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from .samples import Sample
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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 Prometheus 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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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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HELP_ESCAPING_RE = re.compile(r'\\[\\n]')
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ESCAPING_RE = re.compile(r'\\[\\n"]')
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def _replace_help_escaping(s):
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return HELP_ESCAPING_RE.sub(replace_escape_sequence, s)
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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 _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(labels_string):
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labels = {}
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# Return if we don't have valid labels
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if "=" not in labels_string:
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return labels
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escaping = False
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if "\\" in labels_string:
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escaping = True
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# Copy original labels
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sub_labels = labels_string
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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:].lstrip()
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# Find the first quote after the equal
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quote_start = sub_labels.index('"') + 1
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value_substr = sub_labels[quote_start:]
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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):
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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[quote_start:quote_end]
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# Replace escaping if needed
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if escaping:
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label_value = _replace_escaping(label_value)
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labels[label_name.strip()] = 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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next_comma = sub_labels.find(",") + 1
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sub_labels = sub_labels[next_comma:].lstrip()
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return labels
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except ValueError:
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raise ValueError("Invalid labels: %s" % labels_string)
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# If we have multiple values only consider the first
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def _parse_value_and_timestamp(s):
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s = s.lstrip()
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separator = " "
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if separator not in s:
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separator = "\t"
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values = [value.strip() for value in s.split(separator) if value.strip()]
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if not values:
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return float(s), None
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value = float(values[0])
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timestamp = (float(values[-1])/1000) if len(values) > 1 else None
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return value, timestamp
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def _parse_sample(text):
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# Detect the labels in the text
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try:
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label_start, label_end = text.index("{"), text.rindex("}")
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# The name is before the labels
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name = text[:label_start].strip()
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# We ignore the starting curly brace
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label = text[label_start + 1:label_end]
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# The value is after the label end (ignoring curly brace and space)
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value, timestamp = _parse_value_and_timestamp(text[label_end + 2:])
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return Sample(name, _parse_labels(label), value, timestamp)
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# We don't have labels
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except ValueError:
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# Detect what separator is used
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separator = " "
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if separator not in text:
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separator = "\t"
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name_end = text.index(separator)
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name = text[:name_end]
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# The value is after the name
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value, timestamp = _parse_value_and_timestamp(text[name_end:])
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return Sample(name, {}, value, timestamp)
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def text_fd_to_metric_families(fd):
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"""Parse Prometheus text format from a file descriptor.
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This is a laxer parser than the main Go parser,
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so successful parsing does not imply that the parsed
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text meets the specification.
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Yields Metric's.
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"""
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name = ''
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documentation = ''
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typ = 'untyped'
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samples = []
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allowed_names = []
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def build_metric(name, documentation, typ, samples):
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# Munge counters into OpenMetrics representation
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# used internally.
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if typ == 'counter':
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if name.endswith('_total'):
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name = name[:-6]
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else:
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new_samples = []
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for s in samples:
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new_samples.append(Sample(s[0] + '_total', *s[1:]))
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samples = new_samples
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metric = Metric(name, documentation, typ)
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metric.samples = samples
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return metric
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for line in fd:
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line = line.strip()
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if line.startswith('#'):
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parts = line.split(None, 3)
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if len(parts) < 2:
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continue
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if parts[1] == 'HELP':
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if parts[2] != name:
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if name != '':
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yield build_metric(name, documentation, typ, samples)
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# New metric
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name = parts[2]
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typ = 'untyped'
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samples = []
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allowed_names = [parts[2]]
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if len(parts) == 4:
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documentation = _replace_help_escaping(parts[3])
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else:
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documentation = ''
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elif parts[1] == 'TYPE':
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if parts[2] != name:
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if name != '':
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yield build_metric(name, documentation, typ, samples)
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# New metric
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name = parts[2]
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documentation = ''
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samples = []
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typ = parts[3]
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allowed_names = {
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'counter': [''],
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'gauge': [''],
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'summary': ['_count', '_sum', ''],
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'histogram': ['_count', '_sum', '_bucket'],
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}.get(typ, [''])
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allowed_names = [name + n for n in allowed_names]
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else:
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# Ignore other comment tokens
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pass
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elif line == '':
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# Ignore blank lines
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pass
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else:
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sample = _parse_sample(line)
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if sample.name not in allowed_names:
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if name != '':
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yield build_metric(name, documentation, typ, samples)
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# New metric, yield immediately as untyped singleton
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name = ''
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documentation = ''
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typ = 'untyped'
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samples = []
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allowed_names = []
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yield build_metric(sample[0], documentation, typ, [sample])
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else:
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samples.append(sample)
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if name != '':
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yield build_metric(name, documentation, typ, samples)
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