feat(core): one Prometheus text parser, with types; Traefik reads through it (#5667)
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steward/core/prometheus.py parses the 0.0.4 exposition into families keyed
by name, each with its declared TYPE, so a scraper can tell a counter from a
gauge. A histogram or summary owns its _bucket/_sum/_count samples. Label
values are unescaped, and commas or braces inside quotes stay part of the
value. NaN and +/-Inf are read, timestamps are ignored, and a malformed
line is skipped. Traefik's parse_prometheus is now a thin reshaping of it.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
2026-10-12 06:55:24 -04:00
co-authored by Claude Opus 5.5
parent 400e91a0d8
commit 9f26258c8e
3 changed files with 298 additions and 27 deletions
+7 -27
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@@ -18,6 +18,8 @@ from datetime import datetime, timezone
import httpx
from steward.core import prometheus
# ──────────────────────────────────────────────────────────────────────────────
# Prometheus text format parser
@@ -26,36 +28,14 @@ import httpx
# Parsed sample: {metric_name: {frozenset(label_items): float}}
ParsedMetrics = dict[str, dict[frozenset, float]]
_SAMPLE_RE = re.compile(
r'^([a-zA-Z_:][a-zA-Z0-9_:]*)(?:\{([^}]*)\})?\s+'
r'([+-]?(?:\d+\.?\d*|\.\d+)(?:[eE][+-]?\d+)?|[+-]?Inf|NaN)'
)
_LABEL_RE = re.compile(r'([a-zA-Z_][a-zA-Z0-9_]*)="([^"\\]*(?:\\.[^"\\]*)*)"')
def parse_prometheus(text: str) -> ParsedMetrics:
"""Parse Prometheus text exposition format into nested dicts.
Returns: {metric_name: {frozenset({(label, value), ...}): float}}
"""
"""The exposition keyed by sample name, then by its label set — the shape
the per-router arithmetic below reads. Parsing is steward.core.prometheus."""
metrics: ParsedMetrics = {}
for line in text.splitlines():
line = line.strip()
if not line or line.startswith("#"):
continue
m = _SAMPLE_RE.match(line)
if not m:
continue
name, labels_str, value_str = m.groups()
try:
value = float(value_str)
except ValueError:
continue
labels = frozenset(
(lm.group(1), lm.group(2))
for lm in _LABEL_RE.finditer(labels_str or "")
)
metrics.setdefault(name, {})[labels] = value
for family in prometheus.parse(text).values():
for sample in family.samples:
metrics.setdefault(sample.name, {})[frozenset(sample.labels)] = sample.value
return metrics
+174
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@@ -0,0 +1,174 @@
"""Prometheus text exposition format (0.0.4): one parser for every scraper.
The Traefik plugin and the Prometheus plugin both read this format. parse()
returns families keyed by name, each carrying its declared type, so a caller
can tell a counter (store a rate) from a gauge (store the value) without
guessing from the name.
Samples are grouped under the family their TYPE line declares: a histogram
"x" owns x_bucket, x_sum and x_count; a summary owns x, x_sum and x_count.
A sample with no TYPE line is its own untyped family. Timestamps are read
past and ignored; a line that doesn't parse is skipped, never fatal.
"""
from __future__ import annotations
import math
import re
from dataclasses import dataclass, field
_NAME = re.compile(r"[a-zA-Z_:][a-zA-Z0-9_:]*")
_LABEL_NAME = re.compile(r"[a-zA-Z_][a-zA-Z0-9_]*")
TYPES = ("counter", "gauge", "histogram", "summary", "untyped")
# Suffixes a histogram or summary's samples carry beyond the family name.
_CHILD_SUFFIXES = {
"counter": ("_total",), # OpenMetrics declares a counter without it
"histogram": ("_bucket", "_sum", "_count"),
"summary": ("_sum", "_count"),
}
_ESCAPES = {"\\": "\\", '"': '"', "n": "\n"}
@dataclass(frozen=True)
class Sample:
name: str
labels: tuple[tuple[str, str], ...] # in the order the line gave them
value: float
def label_dict(self) -> dict[str, str]:
return dict(self.labels)
@dataclass
class Family:
name: str
type: str = "untyped"
help: str = ""
samples: list[Sample] = field(default_factory=list)
def parse(text: str) -> dict[str, Family]:
"""{family name: Family}, in the order families first appear."""
families: dict[str, Family] = {}
for raw in text.splitlines():
line = raw.strip()
if not line:
continue
if line.startswith("#"):
_read_comment(line, families)
continue
sample = parse_sample(line)
if sample is None:
continue
fam = families.get(_owner(sample.name, families))
if fam is None:
fam = families[sample.name] = Family(sample.name)
fam.samples.append(sample)
return families
def _read_comment(line: str, families: dict[str, Family]) -> None:
parts = line[1:].strip().split(None, 2)
if len(parts) < 2 or parts[0] not in ("TYPE", "HELP"):
return
name = parts[1]
if not _NAME.fullmatch(name):
return
fam = families.setdefault(name, Family(name))
rest = parts[2].strip() if len(parts) > 2 else ""
if parts[0] == "TYPE":
fam.type = rest if rest in TYPES else "untyped"
else:
fam.help = rest.replace("\\n", "\n").replace("\\\\", "\\")
def _owner(sample_name: str, families: dict[str, Family]) -> str:
"""The declared family a sample belongs to: its own name, or the
histogram/summary whose name it extends."""
if sample_name in families:
return sample_name
for kind, suffixes in _CHILD_SUFFIXES.items():
for suffix in suffixes:
if sample_name.endswith(suffix):
base = sample_name[: -len(suffix)]
fam = families.get(base)
if fam is not None and fam.type == kind:
return base
return sample_name
def parse_sample(line: str) -> Sample | None:
"""One sample line, or None when it isn't one."""
m = _NAME.match(line)
if not m:
return None
name, pos = m.group(), m.end()
labels: tuple[tuple[str, str], ...] = ()
if pos < len(line) and line[pos] == "{":
read = _read_labels(line, pos + 1)
if read is None:
return None
labels, pos = read
rest = line[pos:].split()
if not rest or (pos < len(line) and not line[pos].isspace()):
return None
value = parse_value(rest[0])
if value is None:
return None
return Sample(name, labels, value)
def _read_labels(line: str, pos: int) -> tuple[tuple[tuple[str, str], ...], int] | None:
"""Labels from just after "{" to just after "}", values unescaped.
Commas and braces inside a quoted value are part of the value."""
out: list[tuple[str, str]] = []
n = len(line)
while True:
while pos < n and line[pos] in " \t,":
pos += 1
if pos >= n:
return None
if line[pos] == "}":
return tuple(out), pos + 1
m = _LABEL_NAME.match(line, pos)
if not m:
return None
key, pos = m.group(), m.end()
while pos < n and line[pos] in " \t":
pos += 1
if line[pos:pos + 2] != '="':
return None
pos += 2
chars: list[str] = []
while True:
if pos >= n:
return None
c = line[pos]
if c == "\\" and pos + 1 < n:
nxt = line[pos + 1]
chars.append(_ESCAPES.get(nxt, "\\" + nxt))
pos += 2
continue
if c == '"':
pos += 1
break
chars.append(c)
pos += 1
out.append((key, "".join(chars)))
def parse_value(text: str) -> float | None:
"""A sample value: a float, NaN, +Inf or -Inf (Go's spellings too)."""
lowered = text.lower()
if lowered in ("+inf", "inf"):
return math.inf
if lowered == "-inf":
return -math.inf
if lowered == "nan":
return math.nan
try:
return float(text)
except ValueError:
return None
+117
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@@ -0,0 +1,117 @@
"""The Prometheus text parser every scraper shares (steward/core/prometheus.py)."""
import math
from steward.core import prometheus
# Shaped like Fabled Archives' /metrics: HELP and TYPE lines, info and state
# gauges with several labels, counters, and an untyped stray.
ARCHIVES = """\
# HELP fabledarchives_build_info Build of the running server.
# TYPE fabledarchives_build_info gauge
fabledarchives_build_info{version="2026.10.11.1458",channel="dev",commit="c49b470"} 1
# TYPE fabledarchives_backup_target_state gauge
fabledarchives_backup_target_state{target="Steward",target_id="3",state="fresh"} 1
fabledarchives_backup_target_state{target="Steward",target_id="3",state="late"} 0
# TYPE fabledarchives_http_requests_total counter
fabledarchives_http_requests_total{route="GET /api/files",status="200"} 1027
fabledarchives_http_requests_total{route="GET /api/files",status="404"} 3
stray_metric 4.5
"""
def test_families_carry_their_declared_type():
fams = prometheus.parse(ARCHIVES)
assert fams["fabledarchives_build_info"].type == "gauge"
assert fams["fabledarchives_build_info"].help == "Build of the running server."
assert fams["fabledarchives_http_requests_total"].type == "counter"
assert fams["stray_metric"].type == "untyped"
assert list(fams) == [
"fabledarchives_build_info",
"fabledarchives_backup_target_state",
"fabledarchives_http_requests_total",
"stray_metric",
]
def test_labels_keep_their_order_and_values():
state = prometheus.parse(ARCHIVES)["fabledarchives_backup_target_state"]
assert [s.labels for s in state.samples] == [
(("target", "Steward"), ("target_id", "3"), ("state", "fresh")),
(("target", "Steward"), ("target_id", "3"), ("state", "late")),
]
assert [s.value for s in state.samples] == [1.0, 0.0]
reqs = prometheus.parse(ARCHIVES)["fabledarchives_http_requests_total"]
assert reqs.samples[0].label_dict() == {"route": "GET /api/files", "status": "200"}
def test_escaped_label_values_and_separators_inside_quotes():
text = 'm{a="say \\"hi\\"",b="back\\\\slash",c="two\\nlines",d="x,y}z"} 2\n'
(sample,) = prometheus.parse(text)["m"].samples
assert sample.label_dict() == {
"a": 'say "hi"', "b": "back\\slash", "c": "two\nlines", "d": "x,y}z",
}
def test_histogram_and_summary_samples_belong_to_their_family():
text = """\
# TYPE req_seconds histogram
req_seconds_bucket{le="0.1"} 3
req_seconds_bucket{le="+Inf"} 5
req_seconds_sum 0.9
req_seconds_count 5
# TYPE rpc summary
rpc{quantile="0.5"} 0.2
rpc_sum 7
rpc_count 30
"""
fams = prometheus.parse(text)
assert set(fams) == {"req_seconds", "rpc"}
assert [s.name for s in fams["req_seconds"].samples] == [
"req_seconds_bucket", "req_seconds_bucket", "req_seconds_sum", "req_seconds_count",
]
assert math.isinf(fams["req_seconds"].samples[1].value)
assert [s.name for s in fams["rpc"].samples] == ["rpc", "rpc_sum", "rpc_count"]
def test_an_openmetrics_counter_owns_its_total_sample():
fams = prometheus.parse("# TYPE jobs counter\njobs_total 12\n")
assert list(fams) == ["jobs"]
assert fams["jobs"].type == "counter"
assert fams["jobs"].samples[0].name == "jobs_total"
def test_special_values_and_timestamps():
text = "a NaN\nb +Inf\nc -Inf\nd 1.5e3 1700000000000\n"
fams = prometheus.parse(text)
assert math.isnan(fams["a"].samples[0].value)
assert fams["b"].samples[0].value == math.inf
assert fams["c"].samples[0].value == -math.inf
assert fams["d"].samples[0].value == 1500.0
def test_malformed_lines_are_skipped_not_fatal():
text = """\
good 1
bad-name 2
unterminated{a="x 3
nolabelvalue{a=} 4
novalue
spaced{a="1"}5
# TYPE weird nonsense
weird 6
good_too{a="b"} 7
"""
fams = prometheus.parse(text)
assert set(fams) == {"good", "weird", "good_too"}
assert fams["weird"].type == "untyped"
assert fams["good_too"].samples[0].value == 7.0
def test_traefik_reads_through_the_shared_parser():
from plugins.traefik.scraper import parse_prometheus
out = parse_prometheus(
'traefik_service_requests_total{service="web@docker",code="200"} 10\n'
)
key = frozenset({("service", "web@docker"), ("code", "200")})
assert out == {"traefik_service_requests_total": {key: 10.0}}