Files
stack/tests/perf/test_collector.py
kert 7696c1c6da feat: add perf module — OTel pipeline telemetry with Grafana dashboards
Add `perf` as the 12th skinny package with full OpenTelemetry
instrumentation for pipeline traces, Prometheus metrics, and
Loki-correlated logs.

- src/perf/: TracerProvider, MeterProvider, LoggerProvider bridge,
  PipelineCollector, psutil system metrics, FileExporter fallback,
  FastAPI middleware, auto-file Gitea issues on step/test failure
- infra/otel/: OTel Collector fan-out (traces→Jaeger, metrics→Prometheus,
  logs→Loki), all services migrated from jaeger:4317 to collector
- infra/grafana/dashboards/: 8-panel pipeline performance dashboard
- Pipeline runner auto-instruments all 189 steps with zero-cost
  MockTracer/MockSpan no-ops when telemetry is disabled
- 82 new tests, 12,055 total passing

Closes #203, closes #204, closes #205, closes #206, closes #207,
closes #208, closes #209, closes #210, closes #211, closes #212,
closes #213
2026-03-24 21:37:41 -04:00

188 lines
5.9 KiB
Python

"""Tests for StepCollector, PipelineCollector, and system snapshots."""
from __future__ import annotations
import pytest
from opentelemetry import trace
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import (
SimpleSpanProcessor,
SpanExporter,
SpanExportResult,
)
class _MemoryExporter(SpanExporter):
def __init__(self):
self.spans = []
def export(self, spans):
self.spans.extend(spans)
return SpanExportResult.SUCCESS
def shutdown(self):
pass
@pytest.fixture()
def trace_setup(monkeypatch):
"""Wire up real tracer + mock telemetry enabled."""
monkeypatch.setenv("STACK_TELEMETRY", "false")
original = trace.get_tracer_provider()
exporter = _MemoryExporter()
provider = TracerProvider()
provider.add_span_processor(SimpleSpanProcessor(exporter))
trace.set_tracer_provider(provider)
# Make perf.tracer() return real tracers from this provider
import perf._tracer as tmod
tmod._provider_ready = True
yield exporter
tmod._provider_ready = False
provider.shutdown()
trace._TRACER_PROVIDER = original
trace._TRACER_PROVIDER_SET_ONCE._done = False
class TestSystemSnapshot:
"""psutil-based system snapshots."""
def test_take_snapshot(self):
from perf._system import take_snapshot
snap = take_snapshot()
assert snap.rss_mb > 0
assert snap.disk_read_mb >= 0
assert snap.disk_write_mb >= 0
def test_delta(self):
from perf._system import SystemSnapshot, delta
before = SystemSnapshot(
rss_mb=100.0,
cpu_percent=10.0,
disk_read_mb=50.0,
disk_write_mb=20.0,
)
after = SystemSnapshot(
rss_mb=120.0,
cpu_percent=25.0,
disk_read_mb=55.0,
disk_write_mb=22.0,
)
d = delta(before, after)
assert d["memory.delta_mb"] == 20.0
assert d["memory.rss_mb"] == 120.0
assert d["cpu_percent"] == 25.0
assert d["disk.read_delta_mb"] == 5.0
assert d["disk.write_delta_mb"] == 2.0
class TestPipelineCollector:
"""PipelineCollector creates proper span hierarchy."""
def test_step_creates_span(self, trace_setup):
exporter = trace_setup
from perf.collector import PipelineCollector
with PipelineCollector("test_pipeline") as pc:
with pc.step("step_a") as s:
s.record(rows=42, columns=["a", "b"])
names = [s.name for s in exporter.spans]
assert "step.step_a" in names
assert "pipeline.run" in names
def test_step_records_attributes(self, trace_setup):
exporter = trace_setup
from perf.collector import PipelineCollector
with PipelineCollector("test_pipeline") as pc:
with pc.step("step_b") as s:
s.record(rows=100, columns=["x", "y", "z"], cache_hit=True)
step_span = next(s for s in exporter.spans if s.name == "step.step_b")
assert step_span.attributes["rows.out"] == 100
assert step_span.attributes["columns.count"] == 3
assert step_span.attributes["cache.hit"] is True
def test_multiple_steps(self, trace_setup):
exporter = trace_setup
from perf.collector import PipelineCollector
with PipelineCollector("multi") as pc:
with pc.step("first") as s:
s.record(rows=10)
with pc.step("second") as s:
s.record(rows=20)
with pc.step("third") as s:
s.record(rows=30)
root = next(s for s in exporter.spans if s.name == "pipeline.run")
assert root.attributes["steps.total"] == 3
def test_step_timing(self, trace_setup):
import time
from perf.collector import PipelineCollector
with PipelineCollector("timed") as pc:
with pc.step("slow") as s:
time.sleep(0.01)
s.record(rows=1)
assert s.result.duration_s >= 0.01
def test_step_system_delta(self, trace_setup):
from perf.collector import PipelineCollector
with PipelineCollector("sys") as pc:
with pc.step("mem_test") as s:
# Allocate some memory to create a delta
_data = bytearray(1024 * 1024) # 1MB
s.record(rows=1)
assert "memory.rss_mb" in s.result.system_delta
def test_cache_hit_flag(self, trace_setup):
from perf.collector import PipelineCollector
with PipelineCollector("cache_test") as pc:
with pc.step("cached") as s:
s.record(rows=50, cache_hit=True)
with pc.step("uncached") as s2:
s2.record(rows=50, cache_hit=False)
root = next(s for s in trace_setup.spans if s.name == "pipeline.run")
assert root.attributes["steps.cached"] == 1
def test_load_span(self, trace_setup):
exporter = trace_setup
from perf.collector import PipelineCollector
with PipelineCollector("load_test") as pc:
with pc.step("step_load") as s:
with pc.load("core.encounter") as lc:
lc.record(rows=500)
s.record(rows=500)
load_span = next(s for s in exporter.spans if s.name == "load.core.encounter")
assert load_span.attributes["rows"] == 500
assert load_span.attributes["table"] == "core.encounter"
def test_save_span(self, trace_setup):
exporter = trace_setup
from perf.collector import PipelineCollector
with PipelineCollector("save_test") as pc:
with pc.step("step_save") as s:
s.record(rows=200)
with pc.save("readmissions.output") as sc:
sc.record(rows=200)
save_span = next(
s for s in exporter.spans if s.name == "save.readmissions.output"
)
assert save_span.attributes["rows"] == 200