datasette/docs/telemetry_doc.py
Alex Garcia f28db54eda Add a plugin telemetry kit: public registry API, linked_root_span_kwargs, test helpers, docs
A survey of five plugin OTel plans (datasette-paper, -agent, -litestream,
-accounts, -cron) found every one hand-copying the same core machinery:
the registry classes, the conformance-test harness, the pytest fixtures,
the bucket boundaries and the detached-root-with-Link recipe. This makes
that machinery importable instead:

- The registry classes are documented public API. Attribute gains
  values= (a closed enum the conformance helpers enforce - what makes an
  attribute safe as a metric dimension); SpanName gains prefix=True for
  span families like "chat {model}" whose names share a fixed prefix,
  matched by span_for() after exact names. span_for()/attribute helpers
  accept a spans= tuple so plugin registries can use them.
- datasette.telemetry.linked_root_span_kwargs(): the root-span-with-Link
  shape for work a request caused without containing - background jobs,
  scheduled ticks, block=False writes. Core's own write thread now uses
  it instead of building the kwargs inline.
- datasette.telemetry_testing: the session provider fixtures, otel_spans
  / otel_metrics, a two-way registry conformance checker (including enum
  and prefix handling, filtered by instrumentation scope) and an
  assert_package_never_imports_sdk() guard. Core's conftest now imports
  these instead of defining them, so the suite consumes the kit exactly
  as a plugin's would.
- New "Telemetry for plugin authors" docs page: scope discipline,
  registry usage, privacy/cardinality rules, named-callable guidance,
  request_span(), the background root-with-link convention (one root per
  tick, always emitted), provider-ordering facts and known caveats.
  request_span() is now documented public API.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012U7coQfVu8nK2R4q2mCULA
2026-09-02 14:21:14 -07:00

59 lines
2.1 KiB
Python

"""
Render the span reference in ``internals.rst`` from
``datasette/telemetry_registry.py``.
Driven by cog, and ``cog --check docs/*.rst`` runs in CI - so adding a span
without documenting it, or documenting one that no longer exists, is a build
failure rather than something a reader discovers later.
"""
def _attribute_lines(cog, attributes):
if not attributes:
cog.out(" No attributes.\n\n")
return
cog.out(" Attributes:\n\n")
for attribute in attributes:
suffix = " *(optional)*" if attribute.optional else ""
line = f" - ``{attribute}``{suffix} - {attribute.description}"
if attribute.values is not None:
rendered = ", ".join(f"``{value}``" for value in sorted(attribute.values))
line += f" One of: {rendered}."
cog.out(line + "\n")
cog.out("\n")
def spans(cog):
from opentelemetry.trace import SpanKind
from datasette.telemetry_registry import SPANS
cog.out("\n")
for span in SPANS:
cog.out(f"``{span}``\n")
cog.out(f" {span.description}\n\n")
# INTERNAL is the default and the overwhelming majority of spans -
# printing it on every one would be noise. Only the exceptional case,
# a real database call, is worth calling out.
if span.kind != SpanKind.INTERNAL:
cog.out(f" Kind: ``{span.kind.name}``.\n\n")
_attribute_lines(cog, span.attributes)
def metrics(cog):
from datasette.telemetry_registry import METRICS
cog.out("\n")
for metric in METRICS:
cog.out(f"``{metric}``\n")
cog.out(f" {metric.kind}, unit ``{metric.unit}``. {metric.description}\n\n")
if metric.buckets:
boundaries = ", ".join(f"``{boundary}``" for boundary in metric.buckets)
cog.out(f" Bucket boundaries: {boundaries}.\n\n")
if metric.attributes:
cog.out(" Attributes:\n\n")
for attribute in metric.attributes:
cog.out(f" - ``{attribute}`` - {attribute.description}\n")
cog.out("\n")
else:
cog.out(" No attributes.\n\n")