mirror of
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194 lines
6.1 KiB
Python
194 lines
6.1 KiB
Python
"""Tests for the coverage-registry tooling: pure logic plus a registry canary.
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No `e2e` marker, so these run without a proxy. They exercise the coverage math and
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the registry loader, and guard the checked-in registry against schema drift and
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duplicate ids.
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"""
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from __future__ import annotations
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from pathlib import Path
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import pytest
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from coverage_registry.collector import (
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compute_coverage,
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render,
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render_json,
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render_loki,
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render_prometheus,
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)
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from coverage_registry.registry import load_registry
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from coverage_registry.schema import (
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GuardrailCell,
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LlmCell,
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LlmEndpoint,
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LoggingCell,
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Tier,
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loki_module_label,
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)
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def _llm(
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cell_id: str, tier: Tier, subject_endpoint: LlmEndpoint = "chat_completions"
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) -> LlmCell:
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return LlmCell(
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id=cell_id,
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module="llm",
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tier=tier,
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assertions=("works",),
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source="test",
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subject_endpoint=subject_endpoint,
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route="openai",
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capability="basic",
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streaming="nonstream",
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)
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def test_compute_coverage_counts_covered_p0_and_gaps() -> None:
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cells = (_llm("llm.a", Tier.P0), _llm("llm.b", Tier.P0), _llm("llm.c", Tier.P1))
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report = compute_coverage(cells, frozenset({"llm.a"}))
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assert (report.total, report.covered) == (3, 1)
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assert (report.p0_total, report.p0_covered) == (2, 1)
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assert report.p0_gaps == ("llm.b",)
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assert report.orphan_markers == ()
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def test_orphan_marker_is_reported_not_counted() -> None:
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cells = (_llm("llm.a", Tier.P0),)
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report = compute_coverage(cells, frozenset({"llm.a", "llm.ghost"}))
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assert report.covered == 1
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assert report.orphan_markers == ("llm.ghost",)
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def test_logging_and_guardrail_roll_up_into_one_module() -> None:
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cells = (
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LoggingCell(
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id="logging.x",
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module="logging",
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tier=Tier.P0,
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assertions=("logs_spend",),
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source="t",
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event="success",
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exercised_on=("chat_completions",),
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),
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GuardrailCell(
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id="guardrail.y",
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module="guardrail",
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tier=Tier.P1,
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assertions=("blocks",),
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source="t",
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hook_point="pre_call",
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exercised_on=("chat_completions",),
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),
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)
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report = compute_coverage(cells, frozenset())
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logging_and_guardrails = next(
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m for m in report.modules if m.module == "Logging & Guardrails"
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)
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assert logging_and_guardrails.total == 2
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def test_llm_cells_roll_up_by_core_endpoint() -> None:
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cells = (
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_llm("llm.chat", Tier.P0, "chat_completions"),
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_llm("llm.messages", Tier.P0, "messages"),
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_llm("llm.responses", Tier.P1, "responses"),
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_llm("llm.batches", Tier.P0, "batches"),
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_llm("llm.realtime", Tier.P1, "realtime"),
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)
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report = compute_coverage(cells, frozenset({"llm.chat", "llm.batches"}))
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core = next(m for m in report.modules if m.module == "Core LLMs")
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non_core = next(m for m in report.modules if m.module == "Non-Core LLMs")
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assert (core.total, core.covered, core.p0_total, core.p0_covered) == (3, 1, 2, 1)
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assert (
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non_core.total,
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non_core.covered,
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non_core.p0_total,
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non_core.p0_covered,
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) == (2, 1, 1, 1)
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def test_text_render_uses_plain_coverage_language() -> None:
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report = compute_coverage(
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(_llm("llm.chat", Tier.P0), _llm("llm.batches", Tier.P0, "batches")),
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frozenset({"llm.chat"}),
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)
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text = render(report)
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assert "COVERAGE" in text
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assert "Headline coverage: 1/2 (50.0%)" in text
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assert "P0 COVERED" not in text
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def test_json_render_exposes_module_coverage_for_grafana_jobs() -> None:
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report = compute_coverage(
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(_llm("llm.chat", Tier.P0), _llm("llm.batches", Tier.P0, "batches")),
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frozenset({"llm.chat"}),
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)
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payload = render_json(report)
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assert '"coverage_percent": 50.0' in payload
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assert '"module": "Core LLMs"' in payload
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assert '"module": "Non-Core LLMs"' in payload
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def test_prometheus_render_exposes_module_coverage_timeseries() -> None:
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report = compute_coverage(
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(_llm("llm.chat", Tier.P0), _llm("llm.batches", Tier.P0, "batches")),
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frozenset({"llm.chat"}),
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)
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metrics = render_prometheus(report)
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assert 'litellm_e2e_coverage_cells{module="Core LLMs",state="covered"} 1' in metrics
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assert 'litellm_e2e_coverage_percent{module="Core LLMs"} 100.000000' in metrics
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assert 'litellm_e2e_coverage_percent{module="Non-Core LLMs"} 0.000000' in metrics
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assert "litellm_e2e_coverage_orphan_markers 0" in metrics
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def test_loki_render_exposes_exact_stdout_lines_for_loki() -> None:
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report = compute_coverage(
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(_llm("llm.chat", Tier.P0), _llm("llm.batches", Tier.P0, "batches")),
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frozenset({"llm.chat"}),
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)
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lines = render_loki(report).splitlines()
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assert len(lines) == 1 + len(report.modules)
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assert lines[0] == "COVERAGE_TOTAL percent=50.0 covered=1 total=2"
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assert (
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lines[1] == "COVERAGE_MODULE module=core_llms percent=100.0 covered=1 total=1"
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)
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assert (
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lines[2] == "COVERAGE_MODULE module=non_core_llms percent=0.0 covered=0 total=1"
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)
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assert [line.split("module=", 1)[1].split(" ", 1)[0] for line in lines[1:]] == [
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loki_module_label(module.module) for module in report.modules
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]
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assert all(
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" " not in line.split("module=", 1)[1].split(" ", 1)[0] for line in lines[1:]
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)
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def test_real_registry_loads_and_ids_are_unique() -> None:
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cells = load_registry()
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ids = [c.id for c in cells]
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assert len(cells) > 250
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assert len(ids) == len(set(ids))
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assert any(c.id == "logging.prometheus.success.exports_metric" for c in cells)
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def test_load_registry_rejects_duplicate_ids(tmp_path: Path) -> None:
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row = (
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"- {id: llm.dup, module: llm, tier: P0, assertions: [works], source: t, "
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"subject_endpoint: chat_completions, route: openai, capability: basic, streaming: nonstream}\n"
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)
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(tmp_path / "a.yaml").write_text(row)
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(tmp_path / "b.yaml").write_text(row)
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with pytest.raises(ValueError, match="duplicate cell ids"):
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load_registry(tmp_path)
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