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test_metrics.py
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1002 lines (798 loc) · 33.8 KB
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# Copyright 2025 The Feast Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from datetime import datetime, timedelta, timezone
from unittest.mock import MagicMock, patch
import pytest
from feast.metrics import (
feature_freshness_seconds,
materialization_duration_seconds,
materialization_result_total,
online_features_entity_count,
online_features_request_count,
online_store_read_duration_seconds,
push_request_count,
request_count,
request_latency,
track_materialization,
track_online_features_entities,
track_online_store_read,
track_push,
track_request_latency,
track_transformation,
track_write_transformation,
transformation_duration_seconds,
update_feature_freshness,
write_transformation_duration_seconds,
)
@pytest.fixture(autouse=True)
def _enable_metrics():
"""Enable all metric categories for each test, then restore."""
import feast.metrics as m
original = m._config
m._config = m._MetricsFlags(
enabled=True,
resource=True,
request=True,
online_features=True,
push=True,
materialization=True,
freshness=True,
)
yield
m._config = original
class TestTrackRequestLatency:
def test_success_increments_counter_and_records_latency(self):
before_count = request_count.labels(
endpoint="/test", status="success"
)._value.get()
with track_request_latency("/test"):
pass
after_count = request_count.labels(
endpoint="/test", status="success"
)._value.get()
assert after_count == before_count + 1
def test_error_increments_error_counter(self):
before_count = request_count.labels(
endpoint="/test-err", status="error"
)._value.get()
with pytest.raises(ValueError):
with track_request_latency("/test-err"):
raise ValueError("boom")
after_count = request_count.labels(
endpoint="/test-err", status="error"
)._value.get()
assert after_count == before_count + 1
def test_latency_is_recorded(self):
before_sum = request_latency.labels(
endpoint="/test-latency", feature_count="", feature_view_count=""
)._sum.get()
with track_request_latency("/test-latency"):
import time
time.sleep(0.01)
after_sum = request_latency.labels(
endpoint="/test-latency", feature_count="", feature_view_count=""
)._sum.get()
assert after_sum > before_sum
def test_feature_count_and_feature_view_count_labels(self):
"""Latency histogram carries feature_count and feature_view_count labels."""
label_set = dict(
endpoint="/get-online-features",
feature_count="5",
feature_view_count="2",
)
before_sum = request_latency.labels(**label_set)._sum.get()
with track_request_latency(
"/get-online-features", feature_count="5", feature_view_count="2"
):
pass
after_sum = request_latency.labels(**label_set)._sum.get()
assert after_sum > before_sum
def test_default_labels_are_empty_string(self):
"""Non-online-features endpoints get empty-string labels by default."""
label_set = dict(
endpoint="/materialize", feature_count="", feature_view_count=""
)
before_sum = request_latency.labels(**label_set)._sum.get()
with track_request_latency("/materialize"):
pass
after_sum = request_latency.labels(**label_set)._sum.get()
assert after_sum > before_sum
def test_labels_updated_via_yielded_context(self):
"""Labels set on the yielded context are used in the final metrics."""
label_set = dict(
endpoint="/ctx-update", feature_count="3", feature_view_count="1"
)
before_sum = request_latency.labels(**label_set)._sum.get()
with track_request_latency("/ctx-update") as ctx:
ctx.feature_count = "3"
ctx.feature_view_count = "1"
after_sum = request_latency.labels(**label_set)._sum.get()
assert after_sum > before_sum
def test_error_before_labels_set_still_records(self):
"""Errors before labels are updated still record with default labels."""
before_count = request_count.labels(
endpoint="/early-fail", status="error"
)._value.get()
with pytest.raises(RuntimeError):
with track_request_latency("/early-fail") as _ctx:
raise RuntimeError("auth failed")
after_count = request_count.labels(
endpoint="/early-fail", status="error"
)._value.get()
assert after_count == before_count + 1
recorded_sum = request_latency.labels(
endpoint="/early-fail", feature_count="", feature_view_count=""
)._sum.get()
assert recorded_sum > 0
class TestMetricsOptIn:
"""Verify that when a category is disabled, its helpers are true no-ops."""
@staticmethod
def _all_off():
import feast.metrics as m
m._config = m._MetricsFlags() # everything False
def test_track_request_latency_noop_when_disabled(self):
self._all_off()
label_set = dict(
endpoint="/disabled-test", feature_count="", feature_view_count=""
)
before_sum = request_latency.labels(**label_set)._sum.get()
with track_request_latency("/disabled-test"):
pass
assert request_latency.labels(**label_set)._sum.get() == before_sum
def test_track_online_features_entities_noop_when_disabled(self):
self._all_off()
before = online_features_request_count._value.get()
track_online_features_entities(100)
assert online_features_request_count._value.get() == before
def test_track_push_noop_when_disabled(self):
self._all_off()
before = push_request_count.labels(
push_source="src", mode="online"
)._value.get()
track_push("src", "online")
assert (
push_request_count.labels(push_source="src", mode="online")._value.get()
== before
)
def test_track_materialization_noop_when_disabled(self):
self._all_off()
before = materialization_result_total.labels(
feature_view="fv_disabled", status="success"
)._value.get()
track_materialization("fv_disabled", success=True, duration_seconds=1.0)
assert (
materialization_result_total.labels(
feature_view="fv_disabled", status="success"
)._value.get()
== before
)
class TestGranularCategoryControl:
"""Verify individual category toggles work independently."""
def test_request_disabled_but_push_enabled(self):
import feast.metrics as m
m._config = m._MetricsFlags(
enabled=True,
request=False,
push=True,
resource=True,
online_features=True,
materialization=True,
freshness=True,
)
# request should be no-op
label_set = dict(
endpoint="/granular-req", feature_count="", feature_view_count=""
)
before_req = request_latency.labels(**label_set)._sum.get()
with track_request_latency("/granular-req"):
pass
assert request_latency.labels(**label_set)._sum.get() == before_req
# push should still record
before_push = push_request_count.labels(
push_source="s", mode="online"
)._value.get()
track_push("s", "online")
assert (
push_request_count.labels(push_source="s", mode="online")._value.get()
== before_push + 1
)
def test_online_features_disabled_but_materialization_enabled(self):
import feast.metrics as m
m._config = m._MetricsFlags(
enabled=True,
online_features=False,
materialization=True,
resource=True,
request=True,
push=True,
freshness=True,
)
# online_features should be no-op
before_of = online_features_request_count._value.get()
track_online_features_entities(50)
assert online_features_request_count._value.get() == before_of
# materialization should still record
before_mat = materialization_result_total.labels(
feature_view="fv_gran", status="success"
)._value.get()
track_materialization("fv_gran", success=True, duration_seconds=1.0)
assert (
materialization_result_total.labels(
feature_view="fv_gran", status="success"
)._value.get()
== before_mat + 1
)
def test_only_resource_enabled(self):
"""When only resource is on, all request-path helpers are no-ops."""
import feast.metrics as m
m._config = m._MetricsFlags(
enabled=True,
resource=True,
request=False,
online_features=False,
push=False,
materialization=False,
freshness=False,
)
label_set = dict(endpoint="/res-only", feature_count="", feature_view_count="")
before_req = request_latency.labels(**label_set)._sum.get()
before_of = online_features_request_count._value.get()
before_push = push_request_count.labels(
push_source="x", mode="offline"
)._value.get()
before_mat = materialization_result_total.labels(
feature_view="fv_res", status="success"
)._value.get()
with track_request_latency("/res-only"):
pass
track_online_features_entities(10)
track_push("x", "offline")
track_materialization("fv_res", success=True, duration_seconds=1.0)
assert request_latency.labels(**label_set)._sum.get() == before_req
assert online_features_request_count._value.get() == before_of
assert (
push_request_count.labels(push_source="x", mode="offline")._value.get()
== before_push
)
assert (
materialization_result_total.labels(
feature_view="fv_res", status="success"
)._value.get()
== before_mat
)
class TestMetricsYamlConfig:
"""Verify metrics config in feature_store.yaml is respected.
We mock out everything past the metrics-gate check in ``start_server``
so these tests never actually launch a real HTTP server.
"""
@staticmethod
def _call_start_server(mock_store, cli_metrics: bool):
"""Call start_server with enough mocking to avoid side-effects."""
from feast.feature_server import start_server
with (
patch("feast.feature_server.feast_metrics") as mock_fm,
patch("feast.feature_server.str_to_auth_manager_type"),
patch("feast.feature_server.init_security_manager"),
patch("feast.feature_server.init_auth_manager"),
patch(
"feast.feature_server.FeastServeApplication",
side_effect=RuntimeError("stop"),
)
if hasattr(__import__("sys"), "platform")
and __import__("sys").platform != "win32"
else patch("uvicorn.run", side_effect=RuntimeError("stop")),
):
try:
start_server(
store=mock_store,
host="127.0.0.1",
port=6566,
no_access_log=True,
workers=1,
worker_connections=1000,
max_requests=1000,
max_requests_jitter=50,
keep_alive_timeout=30,
registry_ttl_sec=60,
tls_key_path="",
tls_cert_path="",
metrics=cli_metrics,
)
except (RuntimeError, Exception):
pass
return mock_fm
def test_metrics_enabled_from_yaml_config(self):
"""start_server enables metrics when config has metrics.enabled=True,
even though the CLI flag is False."""
from types import SimpleNamespace
metrics_cfg = SimpleNamespace(enabled=True)
fs_cfg = SimpleNamespace(metrics=metrics_cfg)
mock_store = MagicMock()
mock_store.config = SimpleNamespace(feature_server=fs_cfg)
mock_fm = self._call_start_server(mock_store, cli_metrics=False)
mock_fm.build_metrics_flags.assert_called_once_with(metrics_cfg)
mock_fm.start_metrics_server.assert_called_once()
def test_cli_flag_enables_metrics_without_yaml_config(self):
"""start_server enables metrics when --metrics is passed even without
any feature_server config section."""
from types import SimpleNamespace
mock_store = MagicMock()
mock_store.config = SimpleNamespace(feature_server=None)
mock_fm = self._call_start_server(mock_store, cli_metrics=True)
mock_fm.build_metrics_flags.assert_called_once_with(None)
mock_fm.start_metrics_server.assert_called_once()
def test_metrics_not_started_when_both_disabled(self):
"""start_server does NOT start metrics when neither CLI nor config enables it."""
from types import SimpleNamespace
mock_store = MagicMock()
mock_store.config = SimpleNamespace(
feature_server=SimpleNamespace(metrics=SimpleNamespace(enabled=False)),
)
mock_fm = self._call_start_server(mock_store, cli_metrics=False)
mock_fm.start_metrics_server.assert_not_called()
def test_metrics_not_started_when_config_is_none(self):
"""start_server does NOT start metrics when feature_server config is None
and CLI flag is also False."""
from types import SimpleNamespace
mock_store = MagicMock()
mock_store.config = SimpleNamespace(feature_server=None)
mock_fm = self._call_start_server(mock_store, cli_metrics=False)
mock_fm.start_metrics_server.assert_not_called()
class TestTrackOnlineFeaturesEntities:
def test_increments_request_count(self):
before = online_features_request_count._value.get()
track_online_features_entities(10)
assert online_features_request_count._value.get() == before + 1
def test_records_entity_count(self):
before_count = online_features_entity_count._sum.get()
track_online_features_entities(42)
assert online_features_entity_count._sum.get() >= before_count + 42
class TestTrackPush:
def test_increments_push_counter(self):
before = push_request_count.labels(
push_source="my_source", mode="online"
)._value.get()
track_push("my_source", "online")
assert (
push_request_count.labels(
push_source="my_source", mode="online"
)._value.get()
== before + 1
)
class TestTrackMaterialization:
def test_success_counter(self):
before = materialization_result_total.labels(
feature_view="fv1", status="success"
)._value.get()
track_materialization("fv1", success=True, duration_seconds=1.5)
assert (
materialization_result_total.labels(
feature_view="fv1", status="success"
)._value.get()
== before + 1
)
def test_failure_counter(self):
before = materialization_result_total.labels(
feature_view="fv2", status="failure"
)._value.get()
track_materialization("fv2", success=False, duration_seconds=0.5)
assert (
materialization_result_total.labels(
feature_view="fv2", status="failure"
)._value.get()
== before + 1
)
def test_duration_histogram(self):
before_sum = materialization_duration_seconds.labels(
feature_view="fv3"
)._sum.get()
track_materialization("fv3", success=True, duration_seconds=3.7)
after_sum = materialization_duration_seconds.labels(
feature_view="fv3"
)._sum.get()
assert pytest.approx(after_sum - before_sum, abs=0.01) == 3.7
class TestUpdateFeatureFreshness:
def test_sets_freshness_for_materialized_views(self):
mock_fv = MagicMock()
mock_fv.name = "test_fv"
mock_fv.most_recent_end_time = datetime.now(tz=timezone.utc) - timedelta(
minutes=5
)
mock_store = MagicMock()
mock_store.project = "test_project"
mock_store.list_feature_views.return_value = [mock_fv]
update_feature_freshness(mock_store)
staleness = feature_freshness_seconds.labels(
feature_view="test_fv", project="test_project"
)._value.get()
assert 280 < staleness < 320
def test_skips_unmaterialized_views(self):
mock_fv = MagicMock()
mock_fv.name = "unmaterialized_fv"
mock_fv.most_recent_end_time = None
mock_store = MagicMock()
mock_store.project = "test_project"
mock_store.list_feature_views.return_value = [mock_fv]
update_feature_freshness(mock_store)
def test_handles_naive_datetime(self):
mock_fv = MagicMock()
mock_fv.name = "naive_fv"
# Simulate a naive UTC datetime (no tzinfo), as Feast typically stores
naive_utc_now = datetime.now(tz=timezone.utc).replace(tzinfo=None)
mock_fv.most_recent_end_time = naive_utc_now - timedelta(hours=1)
mock_store = MagicMock()
mock_store.project = "test_project"
mock_store.list_feature_views.return_value = [mock_fv]
update_feature_freshness(mock_store)
staleness = feature_freshness_seconds.labels(
feature_view="naive_fv", project="test_project"
)._value.get()
assert 3500 < staleness < 3700
def test_handles_registry_errors_gracefully(self):
mock_store = MagicMock()
mock_store.list_feature_views.side_effect = Exception("registry down")
update_feature_freshness(mock_store)
class TestResolveFeatureCounts:
"""Verify _resolve_feature_counts for both feature-ref lists and FeatureService."""
def test_feature_ref_list(self):
from feast.feature_server import _resolve_feature_counts
refs = ["driver_fv:conv_rate", "driver_fv:acc_rate", "vehicle_fv:mileage"]
feat_count, fv_count = _resolve_feature_counts(refs)
assert feat_count == "3"
assert fv_count == "2"
def test_single_feature_view(self):
from feast.feature_server import _resolve_feature_counts
refs = ["fv1:a", "fv1:b", "fv1:c"]
feat_count, fv_count = _resolve_feature_counts(refs)
assert feat_count == "3"
assert fv_count == "1"
def test_empty_list(self):
from feast.feature_server import _resolve_feature_counts
feat_count, fv_count = _resolve_feature_counts([])
assert feat_count == "0"
assert fv_count == "0"
def test_feature_service(self):
from feast.feature_server import _resolve_feature_counts
proj1 = MagicMock()
proj1.features = [MagicMock(), MagicMock()]
proj2 = MagicMock()
proj2.features = [MagicMock()]
fs_svc = MagicMock()
fs_svc.feature_view_projections = [proj1, proj2]
from feast.feature_service import FeatureService
fs_svc.__class__ = FeatureService
feat_count, fv_count = _resolve_feature_counts(fs_svc)
assert feat_count == "3"
assert fv_count == "2"
class TestFeatureServerMetricsIntegration:
"""Test that feature server endpoints record metrics."""
@pytest.fixture
def mock_fs_factory(self):
from tests.foo_provider import FooProvider
def builder(**async_support):
provider = FooProvider.with_async_support(**async_support)
fs = MagicMock()
fs._get_provider.return_value = provider
from feast.online_response import OnlineResponse
from feast.protos.feast.serving.ServingService_pb2 import (
GetOnlineFeaturesResponse,
)
empty_response = OnlineResponse(GetOnlineFeaturesResponse(results=[]))
fs.get_online_features = MagicMock(return_value=empty_response)
fs.push = MagicMock()
fs.get_online_features_async = MagicMock(return_value=empty_response)
fs.push_async = MagicMock()
return fs
return builder
def test_get_online_features_records_metrics(self, mock_fs_factory):
from fastapi.testclient import TestClient
from feast.feature_server import get_app
fs = mock_fs_factory(online_read=False)
client = TestClient(get_app(fs))
before_req = request_count.labels(
endpoint="/get-online-features", status="success"
)._value.get()
before_entity = online_features_request_count._value.get()
client.post(
"/get-online-features",
json={
"features": ["fv:feat1"],
"entities": {"id": [1, 2, 3]},
},
)
assert (
request_count.labels(
endpoint="/get-online-features", status="success"
)._value.get()
== before_req + 1
)
assert online_features_request_count._value.get() == before_entity + 1
@pytest.mark.parametrize(
"features,expected_feat_count,expected_fv_count",
[
(["fv1:a"], "1", "1"),
(["fv1:a", "fv1:b", "fv2:c"], "3", "2"),
(
["fv1:a", "fv1:b", "fv2:c", "fv2:d", "fv3:e"],
"5",
"3",
),
],
ids=["1_feat_1_fv", "3_feats_2_fvs", "5_feats_3_fvs"],
)
def test_latency_labels_with_varying_request_sizes(
self, mock_fs_factory, features, expected_feat_count, expected_fv_count
):
"""Verify feature_count and feature_view_count labels change with request size."""
from fastapi.testclient import TestClient
from feast.feature_server import get_app
fs = mock_fs_factory(online_read=False)
client = TestClient(get_app(fs))
label_set = dict(
endpoint="/get-online-features",
feature_count=expected_feat_count,
feature_view_count=expected_fv_count,
)
before_sum = request_latency.labels(**label_set)._sum.get()
client.post(
"/get-online-features",
json={
"features": features,
"entities": {"id": [1]},
},
)
after_sum = request_latency.labels(**label_set)._sum.get()
assert after_sum > before_sum
def test_push_records_metrics(self, mock_fs_factory):
from fastapi.testclient import TestClient
from feast.feature_server import get_app
from feast.utils import _utc_now
fs = mock_fs_factory(online_write=False)
client = TestClient(get_app(fs))
before = push_request_count.labels(
push_source="driver_locations_push", mode="online"
)._value.get()
client.post(
"/push",
json={
"push_source_name": "driver_locations_push",
"df": {
"driver_lat": [42.0],
"driver_long": ["42.0"],
"driver_id": [123],
"event_timestamp": [str(_utc_now())],
"created_timestamp": [str(_utc_now())],
},
"to": "online",
},
)
assert (
push_request_count.labels(
push_source="driver_locations_push", mode="online"
)._value.get()
== before + 1
)
class TestBuildMetricsFlags:
"""Verify build_metrics_flags correctly maps MetricsConfig to _MetricsFlags."""
def test_no_config_enables_all(self):
from feast.metrics import build_metrics_flags
flags = build_metrics_flags(None)
assert flags.enabled is True
assert flags.resource is True
assert flags.request is True
assert flags.online_features is True
assert flags.push is True
assert flags.materialization is True
assert flags.freshness is True
def test_selective_disable(self):
from types import SimpleNamespace
from feast.metrics import build_metrics_flags
mc = SimpleNamespace(
enabled=True,
resource=True,
request=False,
online_features=True,
push=False,
materialization=True,
freshness=False,
)
flags = build_metrics_flags(mc)
assert flags.enabled is True
assert flags.resource is True
assert flags.request is False
assert flags.online_features is True
assert flags.push is False
assert flags.materialization is True
assert flags.freshness is False
def test_all_categories_disabled(self):
from types import SimpleNamespace
from feast.metrics import build_metrics_flags
mc = SimpleNamespace(
enabled=True,
resource=False,
request=False,
online_features=False,
push=False,
materialization=False,
freshness=False,
)
flags = build_metrics_flags(mc)
assert flags.enabled is True
assert flags.resource is False
assert flags.request is False
class TestCleanupMultiprocessDir:
"""Verify the atexit handler only deletes the temp dir in the owner process."""
def test_cleanup_skipped_in_forked_child(self, tmp_path):
"""Simulate a forked worker: _owns_mp_dir=True but _owner_pid != current PID."""
import feast.metrics as m
original_dir = m._prometheus_mp_dir
original_owns = m._owns_mp_dir
original_pid = m._owner_pid
fake_dir = tmp_path / "feast_metrics_test"
fake_dir.mkdir()
m._prometheus_mp_dir = str(fake_dir)
m._owns_mp_dir = True
m._owner_pid = -1 # Different from os.getpid()
try:
m._cleanup_multiprocess_dir()
assert fake_dir.exists(), (
"Directory should NOT be deleted when _owner_pid != os.getpid()"
)
finally:
m._prometheus_mp_dir = original_dir
m._owns_mp_dir = original_owns
m._owner_pid = original_pid
def test_cleanup_runs_in_owner_process(self, tmp_path):
"""The owner process (matching PID) should delete the directory."""
import os
import feast.metrics as m
original_dir = m._prometheus_mp_dir
original_owns = m._owns_mp_dir
original_pid = m._owner_pid
fake_dir = tmp_path / "feast_metrics_test"
fake_dir.mkdir()
m._prometheus_mp_dir = str(fake_dir)
m._owns_mp_dir = True
m._owner_pid = os.getpid()
try:
m._cleanup_multiprocess_dir()
assert not fake_dir.exists(), (
"Directory SHOULD be deleted when _owner_pid == os.getpid()"
)
finally:
m._prometheus_mp_dir = original_dir
m._owns_mp_dir = original_owns
m._owner_pid = original_pid
class TestTrackOnlineStoreRead:
"""Tests for the online store read duration metric."""
def test_records_duration(self):
before_sum = online_store_read_duration_seconds._sum.get()
track_online_store_read(0.123)
assert online_store_read_duration_seconds._sum.get() >= before_sum + 0.123
def test_noop_when_online_features_disabled(self):
import feast.metrics as m
m._config = m._MetricsFlags(enabled=True, online_features=False)
before_sum = online_store_read_duration_seconds._sum.get()
track_online_store_read(0.5)
assert online_store_read_duration_seconds._sum.get() == before_sum
m._config = m._MetricsFlags(
enabled=True,
resource=True,
request=True,
online_features=True,
push=True,
materialization=True,
freshness=True,
)
class TestTrackTransformation:
"""Tests for the ODFV transformation duration metric."""
def test_records_python_mode(self):
labels = ("my_odfv", "python")
before = transformation_duration_seconds._metrics.get(labels, None)
before_sum = before._sum.get() if before else 0.0
track_transformation("my_odfv", "python", 0.042)
sample = transformation_duration_seconds._metrics[labels]
assert sample._sum.get() >= before_sum + 0.042
def test_records_pandas_mode(self):
labels = ("my_odfv", "pandas")
before = transformation_duration_seconds._metrics.get(labels, None)
before_sum = before._sum.get() if before else 0.0
track_transformation("my_odfv", "pandas", 0.15)
sample = transformation_duration_seconds._metrics[labels]
assert sample._sum.get() >= before_sum + 0.15
def test_noop_when_online_features_disabled(self):
import feast.metrics as m
m._config = m._MetricsFlags(enabled=True, online_features=False)
labels = ("disabled_odfv", "python")
before = transformation_duration_seconds._metrics.get(labels, None)
before_sum = before._sum.get() if before else 0.0
track_transformation("disabled_odfv", "python", 1.0)
sample = transformation_duration_seconds._metrics.get(labels, None)
after_sum = sample._sum.get() if sample else 0.0
assert after_sum == before_sum
m._config = m._MetricsFlags(
enabled=True,
resource=True,
request=True,
online_features=True,
push=True,
materialization=True,
freshness=True,
)
def test_multiple_odfvs_tracked_independently(self):
labels_a = ("odfv_a", "python")
labels_b = ("odfv_b", "pandas")
before_a = transformation_duration_seconds._metrics.get(labels_a, None)
before_a_sum = before_a._sum.get() if before_a else 0.0
before_b = transformation_duration_seconds._metrics.get(labels_b, None)
before_b_sum = before_b._sum.get() if before_b else 0.0
track_transformation("odfv_a", "python", 0.01)
track_transformation("odfv_b", "pandas", 0.05)
sample_a = transformation_duration_seconds._metrics[labels_a]
sample_b = transformation_duration_seconds._metrics[labels_b]
assert sample_a._sum.get() >= before_a_sum + 0.01
assert sample_b._sum.get() >= before_b_sum + 0.05
class TestTrackWriteTransformation:
"""Tests for the write-path ODFV transformation duration metric."""
def test_records_python_mode(self):
labels = ("write_odfv", "python")
before = write_transformation_duration_seconds._metrics.get(labels, None)
before_sum = before._sum.get() if before else 0.0
track_write_transformation("write_odfv", "python", 0.033)
sample = write_transformation_duration_seconds._metrics[labels]
assert sample._sum.get() >= before_sum + 0.033
def test_records_pandas_mode(self):
labels = ("write_odfv", "pandas")
before = write_transformation_duration_seconds._metrics.get(labels, None)
before_sum = before._sum.get() if before else 0.0
track_write_transformation("write_odfv", "pandas", 0.12)
sample = write_transformation_duration_seconds._metrics[labels]
assert sample._sum.get() >= before_sum + 0.12
def test_noop_when_online_features_disabled(self):
import feast.metrics as m
m._config = m._MetricsFlags(enabled=True, online_features=False)
labels = ("disabled_write_odfv", "python")
before = write_transformation_duration_seconds._metrics.get(labels, None)
before_sum = before._sum.get() if before else 0.0
track_write_transformation("disabled_write_odfv", "python", 1.0)
sample = write_transformation_duration_seconds._metrics.get(labels, None)
after_sum = sample._sum.get() if sample else 0.0
assert after_sum == before_sum
m._config = m._MetricsFlags(
enabled=True,
resource=True,
request=True,
online_features=True,
push=True,
materialization=True,
freshness=True,
)
def test_separate_from_read_transform_metric(self):
"""Write and read transform metrics are independent histograms."""
read_labels = ("shared_odfv", "python")
write_labels = ("shared_odfv", "python")
read_before = transformation_duration_seconds._metrics.get(read_labels, None)
read_before_sum = read_before._sum.get() if read_before else 0.0
write_before = write_transformation_duration_seconds._metrics.get(
write_labels, None
)
write_before_sum = write_before._sum.get() if write_before else 0.0
track_transformation("shared_odfv", "python", 0.01)
track_write_transformation("shared_odfv", "python", 0.05)
read_after = transformation_duration_seconds._metrics[read_labels]
write_after = write_transformation_duration_seconds._metrics[write_labels]
read_delta = read_after._sum.get() - read_before_sum
write_delta = write_after._sum.get() - write_before_sum