litellm/tests/integration/observability/test_prometheus_series_cap.py
devin-ai-integration[bot] 6f5ca84f69
feat(prometheus): cap series per metric for every labeled metric (#44420)
* feat(prometheus): cap series per metric for every labeled metric

Add prometheus_metrics_max_series_per_metric: per metric and per worker process, the first N label
sets keep a series of their own. Counters and histograms record every later label set on one series
whose labels are all "other", so totals stay exact, and gauges skip it. The cap holds with multiple
workers because it never needs to remove a series.

Add prometheus_metrics_ttl_seconds: a series idle for that long is removed and its slot is freed.
The prometheus client cannot remove a series in multi-process mode, so the TTL is ignored there with
a startup warning.

Both settings are off by default. The end_user caps are unchanged.

* fix(prometheus): share the series cap across workers of one proxy instance

Workers writing to one PROMETHEUS_MULTIPROC_DIR now agree on which label
sets get a series through an append-only admissions file per metric, so a
merged scrape stays at the cap plus `other` instead of growing with every
worker and every worker restart. The two fallback counters now pass their
label names as a keyword so the cap and prometheus_exclude_labels apply to
them, admission and child creation happen under one lock, the test fixture
restores the shared registry, and the `other` label value lives in
constants.py.

* test(prometheus): check emitted labels instead of wrapper types, close the admission match

The exclude-labels test now emits through the spend and provider budget
metrics and checks the scrape keeps all their labels. The admission match
arms end in assert_never so the match is exhaustive.

* fix(prometheus): return the exhaustive-match fallback so every admission arm returns

* fix(prometheus): pick the series tracker with isinstance so every path of _admits returns

* fix(prometheus): skip an admissions line a worker could only write part of

* fix(prometheus): frame each admissions record with newlines so a cut-off record cannot swallow the next

A record a worker could only write part of used to merge with the next worker's record, and both were skipped for one request. Each record is now written between two newlines, so the fragment is a line of its own. The clock fixture in the series tests starts from a constant instead of reading the real clock

* fix(prometheus): ignore a non-positive series cap or TTL with a warning instead of failing the logger

A cap or TTL of 0 or less raised at logger init. The proxy logs that as a non-blocking error and keeps serving, so the result was a running proxy with no Prometheus metrics at all. The setting is now ignored with a startup warning naming it, the same rule the end_user cap already follows for a non-positive value

* fix(prometheus): start the series cap over on a one-worker restart and audit it live

A proxy with one worker and an operator-set PROMETHEUS_MULTIPROC_DIR now drops litellm's admission files at boot, so a restart frees every slot there the way it already does with several workers. A cap or TTL that is not a number greater than 0 (a bool, a non-numeric string, an empty value) is ignored with the startup warning instead of breaking the logger

The integration cells drive the cap on every endpoint through the OpenAI and Anthropic SDKs and raw httpx, streaming and not, plus gauges, cache hits, failures, both workers of one instance, the TTL on one worker and its warning on two, ignored settings, excluded labels on the fallback counters, a null cap, /config/update, a concurrent burst scraped mid-flight, a provider outage, a killed worker, and restarts with one and two workers

* fix(prometheus): wipe an operator-set multiprocess directory on a one-worker boot too

* fix(prometheus): leave the multiprocess directory alone on a setup-only run

A run with --skip_server_startup starts no worker, so it no longer creates or
wipes PROMETHEUS_MULTIPROC_DIR. Wiping there deleted the samples of a proxy
already running against the same directory

* fix(prometheus): free the capped series slots when a gateway or backend container restarts

The component image entrypoint starts uvicorn without the proxy CLI and wiped only the .db sample files at container start, so the admitted-series files of the previous container survived an in-place restart. Every label set seen after the restart was then counted on `other` once the previous container had filled the cap

* test(prometheus): cover a setup-only run and a gateway image restart under the cap

Two integration cells from the audit: a `--skip_server_startup` run pointed at a live
two-worker proxy's operator directory leaves its samples alone, and the gateway image
(`docker/component_entrypoint.sh` running `python -m gateway.launch`) restarted on a kept
PROMETHEUS_MULTIPROC_DIR starts the cap over. The burst cells now wait for every counter
they assert on, since the request and failure counters of one call increment at different
points of the logging callback

* test(prometheus): prove the cap reaches the fallback counters in the X1 cell

* fix(prometheus): ignore a cleanup interval that is not a number of at least 0

A string or negative prometheus_metrics_cleanup_interval_seconds reached the
series tracker unvalidated, so the first labeled emit with a TTL on raised
TypeError inside the callback and recorded no series. The interval is now
validated the way the cap and the TTL are: an invalid value is ignored with a
warning and the default 60 seconds applies. The I2 integration cell drives a
string interval through a live proxy and reads the warning from its log

* test(prometheus): give the restart cells the boot budget of their siblings

C4 and C5 boot two proxies each and hit the file's 240 s budget on a loaded
box; C3 and D1 already carry 420 s

---------

Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
2026-10-06 01:28:44 +00:00

498 lines
23 KiB
Python

"""Prometheus series cap on the live proxy: label sets past prometheus_metrics_max_series_per_metric share one
`other` series on every labeled counter and histogram and stay out of the gauges, idle series expire under
prometheus_metrics_ttl_seconds in single-process mode only, and a setting that is not a positive number is
ignored with a warning instead of silencing the metrics."""
from __future__ import annotations
import time
from collections.abc import Iterator, Sequence
from typing import Final
import anthropic
import httpx
import openai
import pytest
from integration._support.client import eventually, object_value, string_value
from integration._support.prometheus_series import (
AGENT_HEADERS,
CACHE_HITS,
FAILED_FALLBACKS,
OVERFLOW,
PROVIDER_OUTAGE,
PROXY_FAILURES,
PROXY_REQUESTS,
REMAINING_REQUESTS,
REQUESTS,
SUCCESSFUL_FALLBACKS,
Call,
CapRig,
Key,
Sample,
WorkerSamples,
alias_values,
chat_once,
expect_spend_rows,
families_over,
gauge_samples,
label_values,
overflow_total,
received_markers,
scrape,
series_cap_rig,
sse_data,
worker_samples,
)
from pydantic import JsonValue
pytestmark = pytest.mark.timeout(240)
CAP: Final = 3
TTL_SECONDS: Final = 2
CLEANUP_SECONDS: Final = 1
PRIMARY: Final = "primary"
FALLBACK: Final = "fallback"
TTL_IGNORED_WARNING: Final = "prometheus_metrics_ttl_seconds is ignored while PROMETHEUS_MULTIPROC_DIR is set"
def _grew(before: Sequence[Sample], after: Sequence[Sample], name: str, by: int) -> bool:
return overflow_total(after, name) - overflow_total(before, name) >= by
def _overflowed(rig: CapRig, key: Key, before: Sequence[Sample], requests: int) -> tuple[Sample, ...]:
"""The scrape once the key's requests landed on `other` for both request counters, or as soon as the key got
a series of its own, so the caller's assertion fails fast on a proxy without the cap."""
return eventually(
lambda: scrape(rig.gateway),
lambda after: (
(_grew(before, after, REQUESTS, requests) and _grew(before, after, PROXY_REQUESTS, requests))
or key.alias in alias_values(after, REQUESTS)
),
seconds=60,
)
def _expect_other(
rig: CapRig, key: Key, calls: Sequence[Call], response_ids: Sequence[str], before: Sequence[Sample]
) -> None:
samples: Final = _overflowed(rig, key, before, len(calls))
assert key.alias not in alias_values(samples, REQUESTS) | alias_values(samples, PROXY_REQUESTS), key.alias
assert not families_over(samples, CAP), families_over(samples, CAP)
assert overflow_total(samples, REQUESTS) - overflow_total(before, REQUESTS) == len(calls)
expect_spend_rows(key.alias, response_ids)
markers: Final = received_markers(rig.provider)
assert all(call.marker in markers for call in calls), (calls, markers)
def _bearer(key: Key, call: Call) -> dict[str, str]:
return {**AGENT_HEADERS, **call.headers, "Authorization": f"Bearer {key.token}"}
class TestCapped:
def test_openai_sync_chat_past_the_cap_counts_on_other(self, capped: CapRig) -> None:
"""H1: two OpenAI SDK chat completions from a fourth key count on `other` and keep their spend rows."""
key: Final = capped.key("h1")
calls: Final = (Call.new(), Call.new())
before: Final = scrape(capped.gateway)
client: Final = openai.OpenAI(
base_url=capped.openai_base, api_key=key.token, default_headers=dict(AGENT_HEADERS), max_retries=0
)
completions: Final = tuple(
client.chat.completions.create(model=capped.model, messages=[call.message], extra_headers=call.headers)
for call in calls
)
assert tuple(completion.choices[0].message.content for completion in completions) == tuple(
call.answer for call in calls
)
_expect_other(capped, key, calls, tuple(completion.id for completion in completions), before)
async def test_openai_async_stream_past_the_cap_counts_on_other(self, capped: CapRig) -> None:
"""H2: a streamed AsyncOpenAI chat completion from a fourth key counts on `other` once the stream ends."""
key: Final = capped.key("h2")
call: Final = Call.new()
before: Final = scrape(capped.gateway)
client: Final = openai.AsyncOpenAI(
base_url=capped.openai_base, api_key=key.token, default_headers=dict(AGENT_HEADERS), max_retries=0
)
stream: Final = await client.chat.completions.create(
model=capped.model, messages=[call.message], stream=True, extra_headers=call.headers
)
chunks: Final = tuple([chunk async for chunk in stream])
assert "".join(chunk.choices[0].delta.content or "" for chunk in chunks if chunk.choices) == call.answer
ids: Final = frozenset(chunk.id for chunk in chunks)
assert len(ids) == 1, ids
_expect_other(capped, key, (call,), tuple(ids), before)
def test_anthropic_sync_messages_past_the_cap_counts_on_other(self, capped: CapRig) -> None:
"""H3: an Anthropic SDK /v1/messages call from a fourth key counts on `other`."""
key: Final = capped.key("h3")
call: Final = Call.new()
before: Final = scrape(capped.gateway)
client: Final = anthropic.Anthropic(
base_url=capped.base_url, api_key=key.token, default_headers=dict(AGENT_HEADERS), max_retries=0
)
message: Final = client.messages.create(
model=capped.model, max_tokens=64, messages=[call.message], extra_headers=call.headers
)
assert "".join(block.text for block in message.content if block.type == "text") == call.answer
_expect_other(capped, key, (call,), (message.id,), before)
async def test_anthropic_async_stream_past_the_cap_counts_on_other(self, capped: CapRig) -> None:
"""H4: a streamed AsyncAnthropic /v1/messages call from a fourth key counts on `other`."""
key: Final = capped.key("h4")
call: Final = Call.new()
before: Final = scrape(capped.gateway)
client: Final = anthropic.AsyncAnthropic(
base_url=capped.base_url, api_key=key.token, default_headers=dict(AGENT_HEADERS), max_retries=0
)
async with client.messages.stream(
model=capped.model, max_tokens=64, messages=[call.message], extra_headers=call.headers
) as stream:
final: Final = await stream.get_final_message()
assert "".join(block.text for block in final.content if block.type == "text") == call.answer
_expect_other(capped, key, (call,), (final.id,), before)
def test_openai_sync_responses_past_the_cap_counts_on_other(self, capped: CapRig) -> None:
"""H5: an OpenAI SDK /v1/responses call from a fourth key counts on `other`."""
key: Final = capped.key("h5")
call: Final = Call.new()
before: Final = scrape(capped.gateway)
client: Final = openai.OpenAI(
base_url=capped.openai_base, api_key=key.token, default_headers=dict(AGENT_HEADERS), max_retries=0
)
response: Final = client.responses.create(model=capped.model, input=call.text, extra_headers=call.headers)
assert response.output_text == call.answer
_expect_other(capped, key, (call,), (response.id,), before)
def test_raw_responses_stream_past_the_cap_counts_on_other(self, capped: CapRig) -> None:
"""H6: a raw httpx streamed /v1/responses call from a fourth key counts on `other`."""
key: Final = capped.key("h6")
call: Final = Call.new()
before: Final = scrape(capped.gateway)
with httpx.Client(base_url=capped.base_url, timeout=60, trust_env=False) as client:
response: Final = client.post(
"/v1/responses",
json={"model": capped.model, "input": call.text, "stream": True},
headers=_bearer(key, call),
)
assert response.status_code == 200, response.text
events: Final = sse_data(response.text)
deltas: Final = tuple(event for event in events if event.get("type") == "response.output_text.delta")
assert "".join(string_value(event["delta"]) for event in deltas) == call.answer
completed: Final = tuple(event for event in events if event.get("type") == "response.completed")
assert len(completed) == 1, events
response_id: Final = string_value(object_value(completed[0]["response"])["id"])
_expect_other(capped, key, (call,), (response_id,), before)
def test_gauges_never_get_an_other_series(self, capped: CapRig) -> None:
"""H7: a fourth key's request leaves no gauge sample for it and no gauge sample labeled `other`."""
key: Final = capped.key("h7")
before: Final = scrape(capped.gateway)
assert capped.chat(key, Call.new()).status_code == 200
samples: Final = _overflowed(capped, key, before, 1)
assert key.alias not in label_values(samples)
gauges: Final = gauge_samples(samples)
assert not any(OVERFLOW in gauge.labels.values() for gauge in gauges), gauges
for alias in capped.warm_aliases:
assert any(
gauge.name == REMAINING_REQUESTS and gauge.labels.get("api_key_alias") == alias for gauge in gauges
), alias
def test_cache_hits_past_the_cap_count_on_other(self, capped: CapRig) -> None:
"""H8: the cache-hit twin: one populating call, hits from the warm keys, then a fourth key's hit on `other`."""
shared: Final = Call.new()
first, second, third = capped.warm
extra: Final = capped.key("h8")
capped.provider.drain()
before: Final = scrape(capped.gateway)
for key in (first, first, second, third, extra):
response = capped.chat(key, shared)
assert response.status_code == 200 and shared.answer in response.text, response.text
samples: Final = eventually(
lambda: scrape(capped.gateway),
lambda after: _grew(before, after, CACHE_HITS, 1) or extra.alias in alias_values(after, CACHE_HITS),
seconds=60,
)
assert alias_values(samples, CACHE_HITS) == capped.warm_aliases
assert overflow_total(samples, CACHE_HITS) - overflow_total(before, CACHE_HITS) == 1
assert received_markers(capped.provider).count(shared.marker) == 1
def test_both_workers_share_the_admitted_series(self, capped: CapRig) -> None:
"""H9: fresh connections reach both workers, and each worker's own sample file names only the warm aliases
while counting the fourth key on `other`, since the admitted sets live in the shared directory."""
extra: Final = capped.key("h9")
def send_on_a_fresh_connection() -> tuple[WorkerSamples, ...]:
assert capped.chat(extra, Call.new()).status_code == 200
return worker_samples(capped.prom_dir, REQUESTS)
workers: Final = eventually(
send_on_a_fresh_connection,
lambda found: (
sum(1 for worker in found if worker.overflow > 0) >= 2
or any(extra.alias in worker.aliases for worker in found)
),
seconds=90,
)
assert all(extra.alias not in worker.aliases for worker in workers), workers
assert sum(1 for worker in workers if worker.overflow > 0) >= 2, workers
assert frozenset().union(*(worker.aliases for worker in workers)) == capped.warm_aliases, workers
def test_failures_past_the_cap_count_on_other(self, capped: CapRig) -> None:
"""F1: provider failures fill the failure counter's cap with the warm keys, a fourth key's lands on `other`."""
key: Final = capped.key("f1")
call: Final = Call.new()
before: Final = scrape(capped.gateway)
capped.outage.set()
try:
for warm in capped.warm:
assert capped.chat(warm, Call.new()).status_code == 500
response: Final = capped.chat(key, call)
finally:
capped.outage.clear()
assert response.status_code == 500 and PROVIDER_OUTAGE in response.text, response.text
samples: Final = eventually(
lambda: scrape(capped.gateway),
lambda after: _grew(before, after, PROXY_FAILURES, 1) or key.alias in alias_values(after, PROXY_FAILURES),
seconds=60,
)
assert key.alias not in label_values(samples)
assert overflow_total(samples, PROXY_FAILURES) - overflow_total(before, PROXY_FAILURES) == 1
assert alias_values(samples, PROXY_FAILURES) == capped.warm_aliases
expect_spend_rows(key.alias, (), (call.call_id,))
def test_config_update_cannot_lift_a_yaml_cap(self, capped: CapRig) -> None:
"""E1: /config/update refuses the YAML-owned cap, so a fourth key still lands on `other`."""
response: Final = capped.gateway.client.post(
"/config/update",
json={"litellm_settings": {"prometheus_metrics_max_series_per_metric": 50}},
headers={"Authorization": f"Bearer {capped.gateway.key}"},
)
assert response.status_code == 400, response.text
key: Final = capped.key("e1")
before: Final = scrape(capped.gateway)
assert capped.chat(key, Call.new()).status_code == 200
samples: Final = _overflowed(capped, key, before, 1)
assert key.alias not in label_values(samples)
@pytest.fixture(scope="class")
def ttl(tmp_path_factory: pytest.TempPathFactory) -> Iterator[CapRig]:
with series_cap_rig(
tmp_path_factory.mktemp("series-ttl"),
{
"prometheus_metrics_max_series_per_metric": 2,
"prometheus_metrics_ttl_seconds": TTL_SECONDS,
"prometheus_metrics_cleanup_interval_seconds": CLEANUP_SECONDS,
},
workers=1,
warm_keys=2,
) as rig:
yield rig
class TestTtl:
def test_idle_series_expire_and_free_their_slot(self, ttl: CapRig) -> None:
"""T1: a third key lands on `other`; once the idle first key expires, a new key gets its own series."""
first, second = ttl.warm
extra: Final = ttl.key("t1-extra")
assert ttl.chat(extra, Call.new()).status_code == 200
samples: Final = eventually(
lambda: scrape(ttl.gateway),
lambda after: overflow_total(after, REQUESTS) >= 1 or extra.alias in alias_values(after, REQUESTS),
seconds=60,
)
assert extra.alias not in label_values(samples)
def keep_second_busy() -> tuple[Sample, ...]:
assert ttl.chat(second, Call.new()).status_code == 200
return scrape(ttl.gateway)
expired: Final = eventually(keep_second_busy, lambda after: first.alias not in label_values(after), seconds=30)
assert second.alias in alias_values(expired, REQUESTS)
late: Final = ttl.key("t1-late")
assert ttl.chat(late, Call.new()).status_code == 200
named: Final = eventually(
lambda: scrape(ttl.gateway), lambda after: late.alias in alias_values(after, REQUESTS), seconds=30
)
assert late.alias in alias_values(named, REQUESTS)
@pytest.fixture(scope="class")
def ttl_multiproc(tmp_path_factory: pytest.TempPathFactory) -> Iterator[CapRig]:
with series_cap_rig(
tmp_path_factory.mktemp("series-ttl-multiproc"),
{
"prometheus_metrics_max_series_per_metric": CAP,
"prometheus_metrics_ttl_seconds": TTL_SECONDS,
"prometheus_metrics_cleanup_interval_seconds": CLEANUP_SECONDS,
},
workers=2,
warm_keys=3,
) as rig:
yield rig
class TestTtlMultiproc:
def test_ttl_is_ignored_with_two_workers_while_the_cap_applies(self, ttl_multiproc: CapRig) -> None:
"""M1: with two workers an idle key keeps its series past the TTL, the cap still applies, and the log says so."""
first, second, _ = ttl_multiproc.warm
deadline: Final = time.monotonic() + 2 * TTL_SECONDS
while time.monotonic() < deadline:
assert ttl_multiproc.chat(second, Call.new()).status_code == 200
assert first.alias in alias_values(scrape(ttl_multiproc.gateway), REQUESTS)
extra: Final = ttl_multiproc.key("m1")
before: Final = scrape(ttl_multiproc.gateway)
assert ttl_multiproc.chat(extra, Call.new()).status_code == 200
samples: Final = _overflowed(ttl_multiproc, extra, before, 1)
assert extra.alias not in label_values(samples)
assert TTL_IGNORED_WARNING in ttl_multiproc.proxy.log.read_text()
@pytest.fixture(scope="class")
def ignored(tmp_path_factory: pytest.TempPathFactory) -> Iterator[CapRig]:
with series_cap_rig(
tmp_path_factory.mktemp("series-ignored"),
{"prometheus_metrics_max_series_per_metric": "five", "prometheus_metrics_ttl_seconds": ""},
workers=1,
warm_keys=5,
) as rig:
yield rig
class TestIgnored:
def test_settings_that_are_not_positive_numbers_are_ignored_with_a_warning(self, ignored: CapRig) -> None:
"""I1: a cap of "five" and an empty TTL leave every key its own series and each warning names its setting."""
samples: Final = scrape(ignored.gateway)
assert alias_values(samples, REQUESTS) >= ignored.warm_aliases
assert not any(sample.is_overflow() for sample in samples)
log: Final = ignored.proxy.log.read_text()
assert (
"prometheus_metrics_max_series_per_metric is ignored because it is not a number greater than 0 (got 'five')"
in log
)
assert "prometheus_metrics_ttl_seconds is ignored because it is not a number greater than 0 (got '')" in log
@pytest.fixture(scope="class")
def ignored_interval(tmp_path_factory: pytest.TempPathFactory) -> Iterator[CapRig]:
with series_cap_rig(
tmp_path_factory.mktemp("series-ignored-interval"),
{
"prometheus_metrics_max_series_per_metric": CAP,
"prometheus_metrics_ttl_seconds": TTL_SECONDS,
"prometheus_metrics_cleanup_interval_seconds": "sixty",
},
workers=1,
warm_keys=CAP,
) as rig:
yield rig
class TestIgnoredInterval:
def test_a_cleanup_interval_that_is_not_a_number_is_ignored_with_a_warning_while_the_cap_and_ttl_apply(
self, ignored_interval: CapRig
) -> None:
"""I2: a cleanup interval of "sixty" next to a TTL is ignored for the default, so the first labeled emit
still counts (it raised inside the logging callback before) and a fourth key lands on `other`."""
key: Final = ignored_interval.key("i2")
call: Final = Call.new()
before: Final = scrape(ignored_interval.gateway)
response: Final = ignored_interval.chat(key, call)
assert response.status_code == 200 and call.answer in response.text, response.text
_expect_other(ignored_interval, key, (call,), (string_value(object_value(response.json())["id"]),), before)
assert (
"prometheus_metrics_cleanup_interval_seconds is ignored because it is not a number of at least 0 "
"(got 'sixty'). Idle series are checked every 60.0 seconds"
) in ignored_interval.proxy.log.read_text()
def _fallback_deployments(provider_url: str) -> tuple[dict[str, JsonValue], ...]:
return tuple(
{
"model_name": name,
"litellm_params": {
"model": f"openai/gpt-{name}",
"api_base": provider_url + "/v1",
"api_key": "synthetic-provider-key",
},
}
for name in (PRIMARY, FALLBACK)
)
@pytest.fixture(scope="class")
def excluded(tmp_path_factory: pytest.TempPathFactory) -> Iterator[CapRig]:
with series_cap_rig(
tmp_path_factory.mktemp("series-excluded"),
{"prometheus_metrics_max_series_per_metric": CAP, "prometheus_exclude_labels": ["api_key_alias"]},
workers=1,
warm_keys=0,
failing_models=frozenset({f"gpt-{PRIMARY}"}),
deployments=_fallback_deployments,
router_settings={"fallbacks": [{PRIMARY: [FALLBACK]}]},
) as rig:
yield rig
def _owned_fallback_series(samples: Sequence[Sample], name: str) -> tuple[Sample, ...]:
return tuple(sample for sample in samples if sample.name == name and not sample.is_overflow())
def _fallback_counter_settled(samples: Sequence[Sample], name: str) -> bool:
"""The counter has admitted the cap and sent the next key to `other`, or has handed out more series than the
cap, which is what a proxy without the cap does and what the caller's assertion then reports."""
owned: Final = _owned_fallback_series(samples, name)
return len(owned) > CAP or (len(owned) == CAP and overflow_total(samples, name) >= 1)
def _expect_capped_fallback_counter(rig: CapRig, name: str) -> None:
samples: Final = eventually(
lambda: scrape(rig.gateway), lambda seen: _fallback_counter_settled(seen, name), seconds=60
)
owned: Final = _owned_fallback_series(samples, name)
assert len(owned) == CAP, owned
assert overflow_total(samples, name) == 1, samples
assert all(sample.labels.get("fallback_model") == FALLBACK for sample in owned), owned
assert len({sample.labels["hashed_api_key"] for sample in owned}) == CAP, owned
assert all("api_key_alias" not in sample.labels for sample in samples if sample.name == name), samples
class TestExcluded:
def test_fallback_counters_are_capped_and_drop_excluded_labels(self, excluded: CapRig) -> None:
"""X1: the successful and failed fallback counters are capped like every other metric (their label names
reached the factory positionally before, so the cap never wrapped them) and keep honoring
prometheus_exclude_labels, which get_labels_for_metric already applied to them."""
keys: Final = tuple(excluded.key("x1") for _ in range(CAP + 1))
for key in keys:
call = Call.new()
response = chat_once(excluded.base_url, key, PRIMARY, call)
assert response.status_code == 200 and call.answer in response.text, response.text
_expect_capped_fallback_counter(excluded, SUCCESSFUL_FALLBACKS)
excluded.outage.set()
try:
for key in keys:
failed = chat_once(excluded.base_url, key, PRIMARY, Call.new())
assert failed.status_code == 500, failed.text
finally:
excluded.outage.clear()
_expect_capped_fallback_counter(excluded, FAILED_FALLBACKS)
@pytest.fixture(scope="class")
def nocap(tmp_path_factory: pytest.TempPathFactory) -> Iterator[CapRig]:
with series_cap_rig(
tmp_path_factory.mktemp("series-nocap"),
{"prometheus_metrics_max_series_per_metric": None},
workers=2,
warm_keys=4,
) as rig:
yield rig
class TestNoCap:
def test_a_null_cap_keeps_every_series(self, nocap: CapRig) -> None:
"""N1: an explicit null cap and a missing TTL leave every key its own series and no `other` series."""
samples: Final = scrape(nocap.gateway)
assert alias_values(samples, REQUESTS) >= nocap.warm_aliases
assert not any(sample.is_overflow() for sample in samples)