mirror of
https://github.com/simonw/datasette.git
synced 2026-09-27 04:14:25 +02:00
parent
5f1b8f3453
commit
daf1989ebe
13 changed files with 2782 additions and 147 deletions
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@ -58,6 +58,62 @@ def find_free_port():
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return sock.getsockname()[1]
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_otel_span_exporter = None
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@pytest.fixture(scope="session", autouse=True)
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def _otel_provider():
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"""
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Install a real OTel SDK TracerProvider + InMemorySpanExporter exactly
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once, before any span is ever created in this process.
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This has to be session-scoped and autouse because
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`opentelemetry.trace.set_tracer_provider()` is effectively
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once-per-process: a second call logs a warning and is ignored. So the
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install must happen exactly once, before anything asserts on spans.
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`datasette.telemetry.tracer` is a module-level `ProxyTracer`. Once a
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provider exists, the first span it starts resolves a concrete tracer
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and caches it permanently. It does *not* cache the no-op tracer, so
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any span started before this fixture runs is merely lost rather than
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poisoning the tracer for the rest of the process. If the SDK isn't
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installed, do nothing: core spans stay no-op `NonRecordingSpan`s and
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the rest of the suite is unaffected.
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"""
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global _otel_span_exporter
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try:
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from opentelemetry import trace as otel_trace
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from opentelemetry.sdk.trace import TracerProvider
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from opentelemetry.sdk.trace.export import SimpleSpanProcessor
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from opentelemetry.sdk.trace.export.in_memory_span_exporter import (
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InMemorySpanExporter,
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)
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except ImportError:
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return
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exporter = InMemorySpanExporter()
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provider = TracerProvider()
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# SimpleSpanProcessor exports synchronously on span end - no background
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# batching thread, so assertions immediately after a request never race.
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provider.add_span_processor(SimpleSpanProcessor(exporter))
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otel_trace.set_tracer_provider(provider)
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_otel_span_exporter = exporter
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@pytest.fixture
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def otel_spans():
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"""
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Function-scoped access to the finished-spans exporter: clears any spans
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left over from previous tests, then yields the exporter so a test can
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call `.get_finished_spans()` after making requests. Skips (rather than
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fails) if the OTel SDK is not installed.
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"""
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pytest.importorskip("opentelemetry.sdk")
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if _otel_span_exporter is None:
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pytest.skip("OpenTelemetry SDK provider was not installed")
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_otel_span_exporter.clear()
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yield _otel_span_exporter
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@pytest.fixture
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def bare_ds():
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"""
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@ -171,6 +227,12 @@ def pytest_collection_modifyitems(config, items):
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move_to_front(items, "test_spatialite_error_if_attempt_to_open_spatialite")
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move_to_front(items, "test_package")
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move_to_front(items, "test_package_with_port")
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# Same reason: this one shells out to a fresh interpreter. Late in a serial
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# run the pytest process holds enough threads that the fork half of
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# subprocess' fork+exec crashes the interpreter on macOS/CPython 3.13
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# (SIGSEGV/SIGBUS inside _execute_child). Reproduces with any subprocess
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# call placed there, on an unmodified tree - running it first avoids it.
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move_to_front(items, "test_datasette_package_never_imports_the_sdk")
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def move_to_front(items, test_name):
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@ -3,11 +3,13 @@ Tests for the datasette.database.Database class
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"""
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import asyncio
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import threading
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import uuid
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from types import SimpleNamespace
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import pytest
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import sqlite_utils
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from opentelemetry import context as otel_context_api
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from datasette.app import Datasette
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from datasette.database import (
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@ -1319,3 +1321,110 @@ async def test_close_releases_memory_connections(num_sql_threads, named):
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for conn in (read_connection, write_connection):
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with pytest.raises(sqlite3.ProgrammingError, match="closed"):
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conn.execute("select 1")
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_CONTEXT_LEAK_MARKER_KEY = "otel-context-leak-marker"
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@pytest.mark.asyncio
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@pytest.mark.parametrize("num_sql_threads", (0, 1))
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async def test_write_thread_context_is_detached_between_tasks(
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tmp_path, monkeypatch, num_sql_threads
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):
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"""
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The write thread attaches each task's otel Context and must detach it
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again before picking up the next task. The thread is persistent and
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shared, so a leaked token would grow that thread's context stack for the
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rest of the process - and a *wrong*-token detach only logs a warning
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rather than raising, so "does it throw" cannot catch either mistake.
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Two things are asserted, because neither alone is sufficient:
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1. Each task observes the context value that was current on the event
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loop when it was queued. This is what fails if the Context is not
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carried on WriteTask, or is never attached. It does *not* catch a
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missing detach: attach() replaces the current Context wholesale, so a
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leftover one from a previous task is simply overwritten.
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2. The write thread's attach depth is identical at the same point in
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every task. This is what fails if detach is missing - the stack grows
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by one per task - and it holds across a task that raises, because the
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detach lives in a `finally`.
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An otel context value is used rather than a plain contextvars.ContextVar:
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a plain var set on the event loop never crosses into the write thread, so
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the probe would read None every time and the test could not fail.
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"""
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name = f"context_leak_test_{num_sql_threads}"
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db_path = tmp_path / f"{name}.db"
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sqlite3.connect(db_path).close()
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ds = Datasette([str(db_path)], settings={"num_sql_threads": num_sql_threads})
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db = ds.get_database(name)
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await db.execute_write("create table t (id integer primary key)")
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write_thread_name = f"_execute_writes for database {name}"
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depth = {"value": 0}
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real_attach = otel_context_api.attach
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real_detach = otel_context_api.detach
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def counting_attach(context):
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token = real_attach(context)
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if threading.current_thread().name == write_thread_name:
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depth["value"] += 1
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return token
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def counting_detach(token):
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real_detach(token)
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if threading.current_thread().name == write_thread_name:
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depth["value"] -= 1
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# Patched on the opentelemetry.context module itself, which is what both
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# database.py and opentelemetry.trace.use_span() look the functions up on.
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monkeypatch.setattr(otel_context_api, "attach", counting_attach)
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monkeypatch.setattr(otel_context_api, "detach", counting_detach)
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seen_markers = []
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seen_depths = []
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def probe(conn):
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seen_markers.append(otel_context_api.get_value(_CONTEXT_LEAK_MARKER_KEY))
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seen_depths.append(depth["value"])
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def failing_probe(conn):
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probe(conn)
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# Exercises the write thread's exception path: the detach still has
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# to happen, which is why it lives in a `finally`.
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raise ValueError("deliberate failure inside a write task")
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try:
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for i in range(5):
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ctx = otel_context_api.set_value(_CONTEXT_LEAK_MARKER_KEY, f"marker-{i}")
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token = real_attach(ctx)
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try:
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if i == 2:
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with pytest.raises(ValueError):
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await db.execute_write_fn(failing_probe)
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else:
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await db.execute_write_fn(probe)
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finally:
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real_detach(token)
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# Sanity check: no marker is active in *this* (event loop) context
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# right now, so the final probe is a fair test of the write thread's
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# own state rather than something this test forgot to clean up.
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assert otel_context_api.get_value(_CONTEXT_LEAK_MARKER_KEY) is None
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await db.execute_write_fn(probe)
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finally:
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db.close()
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assert seen_markers == [
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"marker-0",
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"marker-1",
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"marker-2",
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"marker-3",
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"marker-4",
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None,
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]
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assert len(set(seen_depths)) == 1, (
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f"write thread context stack grew across tasks: {seen_depths} - "
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"a token was attached without being detached"
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)
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1188
tests/test_telemetry.py
Normal file
1188
tests/test_telemetry.py
Normal file
File diff suppressed because it is too large
Load diff
297
tests/test_telemetry_registry.py
Normal file
297
tests/test_telemetry_registry.py
Normal file
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@ -0,0 +1,297 @@
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"""
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Two-way conformance between `datasette/telemetry_registry.py` and what
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Datasette actually emits.
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This is the test that makes the generated documentation trustworthy. cog
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guarantees the docs match the registry; this guarantees the registry matches
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the code. Without it, both could agree with each other and be wrong.
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It checks both directions, and the second one is the one nothing else catches:
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- **emitted but not registered** - instrumentation was added without
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documenting it, so the reference page silently omits it.
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- **registered but never emitted** - the reference page describes a span or
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attribute that no longer exists, which is worse than omitting it, because a
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reader will build a dashboard on it.
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Both of those directions compare the code against the registry. Neither can
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catch a *rename*, because the call sites now take their names from the
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registry - move `DB_NAMESPACE` to `"db.namespace2"` and code and registry
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still agree with each other, while every existing dashboard breaks. So the
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literal names live here too, spelled out, and are asserted against both the
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registry and the wire. That is the one comparison in this file that is not
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made against a value derived from the registry itself.
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"""
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import itertools
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import pytest
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import pytest_asyncio
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pytest.importorskip("opentelemetry.sdk")
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from datasette import telemetry_registry as reg
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from datasette.app import Datasette
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from datasette.database import QueryInterrupted
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from datasette.utils.sqlite import sqlite3
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# The names as they appear on the wire, written out rather than read from the
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# registry. If a change to the registry makes one of these fail, that change
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# is renaming something a user's dashboards and saved queries depend on -
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# which is a decision to take deliberately, here, not a line to re-derive.
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EXPECTED_ATTRIBUTES = {
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"db.query": {
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"db.system",
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"db.namespace",
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"db.query.text",
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"datasette.callback",
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"db.operation.name",
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"datasette.param_count",
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"datasette.param_sets",
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"datasette.time_limit_ms",
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"datasette.rows_returned",
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"datasette.truncated",
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"datasette.interrupted",
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"datasette.sql_error_suppressed",
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"datasette.executescript",
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"datasette.executemany",
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},
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"db.query.execute": set(),
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"db.write.queue_wait": set(),
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"db.write.execute": {
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"datasette.isolated_connection",
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"datasette.transaction",
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},
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"datasette.startup": set(),
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}
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EXPECTED_SPANS = set(EXPECTED_ATTRIBUTES)
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# Named in-memory databases are shared-cache, so two Datasette instances using
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# the same name share one SQLite database - and the second `create table`
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# fails. Every workload below therefore gets its own name.
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_names = itertools.count()
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def _unique(prefix):
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return f"{prefix}{next(_names)}"
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async def exercise():
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"""
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Drive enough of Datasette to emit every span and attribute the registry
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claims exists.
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Each call is here because it is the only thing that produces some span or
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attribute - see the comments. If you add instrumentation on a path this
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does not reach, add the path rather than loosening the assertions.
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Returns the instance so the caller can close it; startup happens inside
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so that the `datasette.startup` span lands in the collected set.
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"""
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name = _unique("registry")
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ds = Datasette(memory=True)
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ds.add_memory_database(name)
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# datasette.startup - and the internal catalog work nested under it
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await ds.invoke_startup()
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db = ds.get_database(name)
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# Writes: db.write.queue_wait, db.write.execute, db.query
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await db.execute_write("create table t (id integer primary key, v text)")
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# datasette.executemany, datasette.param_sets
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await db.execute_write_many(
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"insert into t (id, v) values (?, ?)", [[i, f"v{i}"] for i in range(30)]
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)
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# datasette.executescript
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await db.execute_write_script("create table t2 (id integer); drop table t2;")
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# datasette.transaction=False - VACUUM cannot run inside a transaction
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await db.execute_write("vacuum", transaction=False)
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# datasette.isolated_connection=True
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await db.execute_isolated_fn(lambda conn: conn.execute("select 1").fetchone())
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# datasette.callback, with named functions so the conformance run sees the
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# attribute's documented value shape (a qualname, not just "<lambda>")
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def registry_read_callback(conn):
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return conn.execute("select count(*) from t").fetchone()
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def registry_write_callback(conn):
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conn.execute("insert into t (id, v) values (100, 'callback')")
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await db.execute_fn(registry_read_callback)
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await db.execute_write_fn(registry_write_callback)
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# Reads: db.query.execute, datasette.rows_returned, datasette.truncated,
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# datasette.param_count, datasette.time_limit_ms
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await db.execute("select * from t where id > :n", {"n": 5})
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await db.execute("select * from t", truncate=True)
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# datasette.sql_error_suppressed - the caller is probing and treats
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# failure as an expected answer
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with pytest.raises(sqlite3.OperationalError):
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await db.execute("select nope from t", log_sql_errors=False)
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# datasette.interrupted - only ever set when a query exceeds its time
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# limit, so the workload has to force one rather than exempt it. An
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# unbounded recursive CTE cannot finish, so 1ms is always exceeded.
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with pytest.raises(QueryInterrupted):
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await db.execute(
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"with recursive c(x) as (select 0 union all select x+1 from c) "
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"select * from c",
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custom_time_limit=1,
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)
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return ds
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@pytest_asyncio.fixture
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async def emitted(otel_spans):
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"Every span name and (span name, attribute key) pair a broad workload emits."
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# otel_spans has already cleared the exporter, and nothing is cleared
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# after this point: the workload's own startup emits datasette.startup.
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ds = await exercise()
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spans = otel_spans.get_finished_spans()
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assert spans, "no spans captured - the fixture is not exercising anything"
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names = set()
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pairs = set()
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for span in spans:
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# str() because span.name is the registry's SpanName instance, and a
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# set of those would compare equal to literals but read confusingly
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# in a failure message.
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names.add(str(span.name))
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for key in span.attributes or {}:
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pairs.add((str(span.name), str(key)))
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ds.close()
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return {"names": names, "pairs": pairs}
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def _keys_by_span(pairs):
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by_span = {}
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for span_name, key in pairs:
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by_span.setdefault(span_name, set()).add(key)
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return by_span
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@pytest.mark.asyncio
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async def test_workload_emits_exactly_the_expected_names(emitted):
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"""
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The wire format, pinned to literals.
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Not derived from the registry, so this is what catches a rename that the
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registry and the call sites make together.
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"""
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assert emitted["names"] == EXPECTED_SPANS
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by_span = _keys_by_span(emitted["pairs"])
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assert {name: by_span.get(name, set()) for name in emitted["names"]} == (
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EXPECTED_ATTRIBUTES
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)
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def test_registry_matches_the_expected_names():
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"The other half of the rename check: the registry against the same literals."
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assert {str(span) for span in reg.SPANS} == EXPECTED_SPANS
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for span in reg.SPANS:
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assert {str(attribute) for attribute in span.attributes} == EXPECTED_ATTRIBUTES[
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str(span)
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], f"{span} attributes have drifted"
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@pytest.mark.asyncio
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async def test_every_emitted_span_is_registered(emitted):
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"A span added without a registry entry would be missing from the docs."
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unregistered = sorted(
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name for name in emitted["names"] if reg.span_for(name) is None
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)
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assert (
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not unregistered
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), f"these spans are emitted but not in telemetry_registry.SPANS: {unregistered}"
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@pytest.mark.asyncio
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async def test_every_emitted_attribute_is_registered(emitted):
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"An attribute added without a registry entry would be missing from the docs."
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unregistered = sorted(
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f"{span_name} -> {key}"
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for span_name, key in emitted["pairs"]
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if not reg.attribute_allowed(reg.span_for(span_name), key)
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)
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assert (
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not unregistered
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), "these span attributes are emitted but not registered: " + ", ".join(
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unregistered
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)
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@pytest.mark.asyncio
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async def test_every_registered_span_is_emitted(emitted):
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"""
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The direction nothing else catches: the docs must not describe a span that
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no longer exists.
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"""
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missing = sorted(
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str(span)
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for span in reg.SPANS
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if not any(reg.span_for(name) is span for name in emitted["names"])
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)
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assert not missing, (
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f"these spans are documented but never emitted by the workload: {missing}. "
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"Either the instrumentation was removed, or exercise() no longer reaches it."
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_every_registered_attribute_is_emitted(emitted):
|
||||
"""
|
||||
Every registered attribute, optional or not, must actually be set at least
|
||||
once by the workload.
|
||||
|
||||
`optional` describes whether a reader should expect it on every span, not
|
||||
whether the code still sets it - so an attribute deleted from the code but
|
||||
left in the docs has to fail here even when it is marked optional. If a
|
||||
new attribute only appears in some rare case, extend exercise() to reach
|
||||
that case.
|
||||
"""
|
||||
by_span = _keys_by_span(emitted["pairs"])
|
||||
missing = []
|
||||
for span in reg.SPANS:
|
||||
emitted_keys = by_span.get(str(span), set())
|
||||
for attribute in span.attributes:
|
||||
if attribute not in emitted_keys:
|
||||
missing.append(f"{span} -> {attribute}")
|
||||
assert not missing, (
|
||||
"these attributes are documented but never emitted by the workload: "
|
||||
+ ", ".join(sorted(missing))
|
||||
)
|
||||
|
||||
|
||||
def test_registry_has_no_duplicate_names():
|
||||
assert len(set(reg.SPANS)) == len(reg.SPANS)
|
||||
for span in reg.SPANS:
|
||||
assert len(set(span.attributes)) == len(
|
||||
span.attributes
|
||||
), f"{span} lists an attribute twice"
|
||||
|
||||
|
||||
def test_registry_entries_are_documented():
|
||||
"Every entry carries a description - the docs are generated from these."
|
||||
for span in reg.SPANS:
|
||||
assert span.description.strip(), f"{span} has no description"
|
||||
for attribute in span.attributes:
|
||||
assert attribute.description.strip(), f"{span} -> {attribute} has none"
|
||||
|
||||
|
||||
def test_registry_entries_are_usable_as_plain_strings():
|
||||
"The str subclassing is the whole reason call sites need no wrapper API."
|
||||
assert isinstance(reg.DB_QUERY, str)
|
||||
assert isinstance(reg.DB_NAMESPACE, str)
|
||||
assert reg.DB_QUERY == "db.query"
|
||||
assert reg.DB_NAMESPACE == "db.namespace"
|
||||
assert f"{reg.DB_QUERY}.execute" == "db.query.execute"
|
||||
|
||||
|
||||
def test_span_and_attribute_lookup():
|
||||
assert reg.span_for("db.query") is reg.DB_QUERY
|
||||
assert reg.span_for("datasette.startup") is reg.STARTUP
|
||||
assert reg.span_for("not.a.datasette.span") is None
|
||||
assert reg.attribute_allowed(reg.DB_QUERY, "db.namespace")
|
||||
assert not reg.attribute_allowed(reg.DB_QUERY, "db.namespace.extra")
|
||||
assert not reg.attribute_allowed(reg.DB_QUERY, "datasette.isolated_connection")
|
||||
assert not reg.attribute_allowed(None, "db.namespace")
|
||||
Loading…
Add table
Add a link
Reference in a new issue