feat(4636): rule pull-through per surface, and per-rule usage with confirmed lessons on list_rules
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retrieval_telemetry gains rule_usage.by_source, the twin of usage.by_source:
distinct rules each surface showed, how many an agent opened, and a ratio
that is null on a bulk delivery. list_rules(with_usage=True, days=N) adds
each rule's usage, windowed, and how many lessons are confirmed instances
of it, so linked and unlinked rules can be compared through MCP.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
2026-10-22 19:20:32 -04:00
co-authored by Claude Opus 5.5
parent 71260a28e2
commit d05d4f3632
9 changed files with 287 additions and 9 deletions
+30 -6
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@@ -10,13 +10,16 @@ preview-style warning.
"""
from __future__ import annotations
from datetime import datetime, timedelta, timezone
from grimoire.mcp._context import current_user_id
from grimoire.services import dedup as dedup_svc
from grimoire.services import moments as moments_svc
from grimoire.services import rulebooks as rulebooks_svc
from grimoire.services import trash as trash_svc
from grimoire.services.lesson_rules import confirmed_lesson_counts
from grimoire.services.rule_usage import (
record_rule_outcome, record_rule_pulled,
empty_rule_usage, record_rule_outcome, record_rule_pulled, usage_for_rules,
)
from grimoire.services import moment_delivery
@@ -204,6 +207,7 @@ def _rule_summary(r, moments: list[str] | None = None) -> dict:
async def list_rules(
rulebook_id: int = 0, topic_id: int = 0, project_id: int = 0,
with_usage: bool = False, days: int = 0,
) -> dict:
"""List rules — filter by rulebook, topic, and/or project.
@@ -213,9 +217,21 @@ async def list_rules(
project_id: 0 = no filter; positive = that project's OWN rules.
Global rules apply to every project, so they are listed by
rulebook or topic (or unfiltered), not under each project.
with_usage: add each rule's `usage` and `confirmed_lessons`. Off by
default: a listing is for applying rules, and this is for judging
them.
days: with `with_usage`, count only the last N days; 0 = everything
recorded.
rulebook_id and topic_id AND-combine; project_id lists a project's rules
on its own. Ownership-scoped.
`usage` is the rule's own telemetry: `surfaced_count` (a ranked surface
chose it), `ambient_count` (a bulk delivery carried it), `pull_count`,
`applied_count`, `departed_count` and the latest of each.
`confirmed_lessons` counts the lessons judged instances of the rule. Read
together they answer whether rules that situations keep proving are the
ones that surface and get opened.
"""
uid = current_user_id()
rows = await rulebooks_svc.list_rules(
@@ -224,12 +240,20 @@ async def list_rules(
topic_id=topic_id or None,
project_id=project_id or None,
)
ids = [r.id for r in rows]
# One batched read for the page, not one per row.
mounted = await rulebooks_svc.list_rule_moments([r.id for r in rows])
return {
"rules": [_rule_summary(r, mounted.get(r.id)) for r in rows],
"total": len(rows),
}
mounted = await rulebooks_svc.list_rule_moments(ids)
rules = [_rule_summary(r, mounted.get(r.id)) for r in rows]
if with_usage:
since = (
datetime.now(timezone.utc) - timedelta(days=days) if days > 0 else None
)
usage = await usage_for_rules(ids, since=since)
lessons = await confirmed_lesson_counts(uid, ids)
for row in rules:
row["usage"] = usage.get(row["id"], empty_rule_usage())
row["confirmed_lessons"] = lessons.get(row["id"], 0)
return {"rules": rules, "total": len(rows)}
async def get_rule(rule_id: int) -> dict:
+9
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@@ -509,6 +509,15 @@ async def retrieval_telemetry(
Read it against `sources["write_path_rule"]`, which declines the large
majority of its calls like any other surface.
`rule_usage.by_source` is the per-surface split, the twin of
`usage.by_source`: for each surface that showed rules, `rules_surfaced`
(distinct rules), `rules_pulled` (how many of those an agent opened in the
window) and `pull_through`, null on an ambient surface. It is the readout
that says which arm — the prompt arm, the tool arm, a lesson pointing at
its rule — earns its lines. The same upper bound as the note split: a rule
two surfaces showed and an agent opened once counts for both.
`by_source_failed: true` means that one query failed.
`system_usage` — the RULINGS arm, from `system_usage_events`: how
often an area's rulings were shown because a command (`rulings_pre_tool`)
or an edit (`rulings_write_path`) touched its files, how often a System
+28
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@@ -324,6 +324,34 @@ async def lessons_for_rule(user_id: int, rule_id: int) -> list[dict]:
]
async def confirmed_lesson_counts(user_id: int, rule_ids) -> dict[int, int]:
"""{rule_id: confirmed lessons the caller can read}, for a list of rules.
`lessons_for_rule` in bulk, counted rather than listed: one GROUP BY, so a
rule list can say which rules are proven by situations without a query
per row. Rules with none read 0.
"""
from grimoire.services.access import readable_notes_clause
ids = [int(i) for i in rule_ids or []]
out = {i: 0 for i in ids}
if not ids:
return out
async with async_session() as session:
rows = (await session.execute(
select(LessonRuleLink.rule_id, func.count())
.join(Note, Note.id == LessonRuleLink.lesson_id)
.where(LessonRuleLink.rule_id.in_(ids))
.where(LessonRuleLink.state == CONFIRMED)
.where(Note.deleted_at.is_(None))
.where(readable_notes_clause(user_id))
.group_by(LessonRuleLink.rule_id)
)).all()
for rule_id, n in rows:
out[int(rule_id)] = int(n)
return out
async def judgments_for_lessons(lesson_ids) -> dict[int, dict]:
"""{lesson_id: {"rule_judgment": linked|no_rule|unjudged, "no_rule"?}}.
+70 -1
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@@ -1109,7 +1109,7 @@ async def retrieval_summary(
# Assigned inside the try below; named here so the readout can tell
# "this query failed" from "this window has no rows".
by_source_rows = None
by_source_rows = rule_by_source_rows = None
rule_rows = None
distinct_rules_surfaced = distinct_rules_pulled = 0
# None means the coverage read did not happen — distinct from a table with
@@ -1426,6 +1426,53 @@ async def retrieval_summary(
rule_rows = None
distinct_rules_surfaced = distinct_rules_pulled = 0
distinct_rules_acted = 0
# The note block's per-source join, at the rule grain. The
# top-level rule ratio blends every arm — the prompt arm, the tool
# arm, a lesson pointing at its rule — and "which of them earns its
# lines" is the question each arm's bar is tuned against. Its own
# guard, for the reason the note join has one.
try:
rule_pulled_ids = (
select(RuleUsageEvent.rule_id)
.where(
RuleUsageEvent.created_at >= since,
RuleUsageEvent.user_id == user_id,
RuleUsageEvent.event == RULE_PULLED,
RuleUsageEvent.source.startswith("mcp_", autoescape=True),
)
.distinct()
.subquery()
)
rule_surfaced_pairs = (
select(RuleUsageEvent.source, RuleUsageEvent.rule_id)
.where(
RuleUsageEvent.created_at >= since,
RuleUsageEvent.user_id == user_id,
RuleUsageEvent.event == RULE_SURFACED,
)
.distinct()
.subquery()
)
rule_by_source_rows = (
await session.execute(
select(
rule_surfaced_pairs.c.source,
func.count().label("rules_surfaced"),
func.count(rule_pulled_ids.c.rule_id).label("rules_pulled"),
)
.select_from(
rule_surfaced_pairs.outerjoin(
rule_pulled_ids,
rule_pulled_ids.c.rule_id == rule_surfaced_pairs.c.rule_id,
)
)
.group_by(rule_surfaced_pairs.c.source)
)
).all()
except Exception:
logger.warning("per-source rule pull-through read failed", exc_info=True)
rule_by_source_rows = None
except Exception:
logger.warning("retrieval summary read failed", exc_info=True)
out["read_failed"] = True
@@ -1596,6 +1643,28 @@ async def retrieval_summary(
round(rule_usage["pulled_by_agent"] / rule_usage["surfaced"], 4)
if rule_usage["surfaced"] else None
)
# Per surface, the note block's shape and its caveat: a pull records the
# door, not the surface that led to it, so a rule two arms surfaced and an
# agent opened once counts as pulled for both. An upper bound — a surface
# reading near zero here is not being flattered.
if rule_by_source_rows is None:
rule_usage["by_source"] = {}
rule_usage["by_source_failed"] = True
else:
rule_usage["by_source"] = {
source: {
"rules_surfaced": int(n_surfaced or 0),
"rules_pulled": int(n_pulled or 0),
# None on an ambient surface, as for notes: nothing chose
# those rules, so the ratio would be misread.
"pull_through": (
None if is_ambient(source) or not n_surfaced
else round(int(n_pulled or 0) / int(n_surfaced), 4)
),
"ambient": is_ambient(source),
}
for source, n_surfaced, n_pulled in rule_by_source_rows
}
rule_usage.update(_coverage((rule_complete or {}).get("*"), since))
out["rule_usage"] = rule_usage
out["system_usage"] = await _system_usage(user_id, since)
+12 -2
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@@ -59,8 +59,9 @@ as short and as slow-moving as possible.
from __future__ import annotations
import logging
from datetime import datetime
from sqlalchemy import case, func, select
from sqlalchemy import case, func, select, true
from grimoire.models import async_session
from grimoire.models.base import iso
@@ -333,13 +334,18 @@ def empty_rule_usage() -> dict:
}
async def usage_for_rules(rule_ids: list[int]) -> dict[int, dict]:
async def usage_for_rules(
rule_ids: list[int], since: datetime | None = None,
) -> dict[int, dict]:
"""Aggregate usage for a set of rules: {rule_id: {counts + timestamps}}.
One GROUP BY for the whole page rather than a query per row — this feeds a
list view, so the per-row shape would be N+1 by construction. Rules with no
events come back with `empty_rule_usage()`, so the caller never has to tell
"no events" from "not in the result".
`since` limits the counts to events at or after it, so two windows can be
compared; without it they cover everything recorded.
"""
ids = [int(r) for r in rule_ids]
out: dict[int, dict] = {rid: empty_rule_usage() for rid in ids}
@@ -370,6 +376,10 @@ async def usage_for_rules(rule_ids: list[int]) -> dict[int, dict]:
ambient,
)
.where(RuleUsageEvent.rule_id.in_(ids))
.where(
RuleUsageEvent.created_at >= since
if since is not None else true()
)
.group_by(
RuleUsageEvent.rule_id,
RuleUsageEvent.event,
@@ -93,6 +93,22 @@ async def test_naming_rules_confirms_them_and_both_sides_read_the_link(world):
assert [(l["id"], l["state"]) for l in lessons] == [(world["lesson"], "confirmed")]
async def test_a_rule_list_counts_confirmed_lessons_only(world):
"""The bulk count a rule list reads: a rejected link is not a lesson
proving the rule, a rule with no links reads 0, and a stranger counts
nothing through a lesson they cannot read."""
owner = world["owner"]
await links_svc.set_lesson_rules(owner, world["lesson"], [world["r1"], world["r2"]])
await links_svc.judge_link(owner, world["lesson"], world["r2"], "reject", "not it")
rules = [world["r1"], world["r2"], world["foreign"]]
assert await links_svc.confirmed_lesson_counts(owner, rules) == {
world["r1"]: 1, world["r2"]: 0, world["foreign"]: 0,
}
assert (await links_svc.confirmed_lesson_counts(world["stranger"], rules))[world["r1"]] == 0
assert await links_svc.confirmed_lesson_counts(owner, []) == {}
async def test_a_rule_left_out_of_the_set_is_rejected_not_forgotten(world):
owner = world["owner"]
await links_svc.set_lesson_rules(owner, world["lesson"], [world["r1"], world["r2"]])
+33
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@@ -573,3 +573,36 @@ def test_rule_outcome_is_registered_and_is_not_read_only():
assert "rule_outcome" in mcp.names
assert "rule_outcome" in _WRITE_TOOLS
assert "rule_outcome" not in _READ_ONLY_TOOLS
@pytest.mark.asyncio
async def test_list_rules_carries_usage_only_when_asked():
"""A listing is for applying rules, so it stays lean; `with_usage` adds
each rule's telemetry and confirmed-lesson count for judging them, with
`days` passed down as a window."""
from grimoire.mcp.tools import rulebooks as tools
from grimoire.services.rule_usage import empty_rule_usage
rows = [fake_rule(id=1, title="dev is home"), fake_rule(id=2, title="ask first")]
seen = {**empty_rule_usage(), "surfaced_count": 4, "pull_count": 1}
usage = AsyncMock(return_value={1: seen})
lessons = AsyncMock(return_value={1: 3})
with patch.object(tools.rulebooks_svc, "list_rules", AsyncMock(return_value=rows)), \
patch.object(tools.rulebooks_svc, "list_rule_moments", AsyncMock(return_value={})), \
patch.object(tools, "usage_for_rules", usage), \
patch.object(tools, "confirmed_lesson_counts", lessons):
lean = await tools.list_rules()
assert all("usage" not in r and "confirmed_lessons" not in r for r in lean["rules"])
usage.assert_not_awaited()
out = await tools.list_rules(with_usage=True, days=14)
by_id = {r["id"]: r for r in out["rules"]}
assert by_id[1]["usage"]["surfaced_count"] == 4
assert by_id[1]["confirmed_lessons"] == 3
# A rule missing from either read is zero-filled, never absent.
assert by_id[2]["usage"] == empty_rule_usage()
assert by_id[2]["confirmed_lessons"] == 0
assert usage.await_args.args[0] == [1, 2]
assert usage.await_args.kwargs["since"] is not None
lessons.assert_awaited_once_with(7, [1, 2])
@@ -618,6 +618,54 @@ async def test_the_preload_lands_in_ambient_and_never_in_the_ratio(_dispose_engi
await cleanup()
@pytest.mark.integration
@pytest.mark.asyncio
async def test_rule_by_source_says_which_arm_earns_its_lines(_dispose_engine):
"""The rule ratio blends every arm. Per surface it can say which one is
working: distinct rules per arm, the agent opens among them, and no ratio
on a bulk delivery."""
from grimoire.services.retrieval_telemetry import retrieval_summary
cleanup = await _rule_events(990016, [
# The write arm chose rule 5301 twice — one rule — and 5302 once.
(5301, "surfaced", "write_path_rule"),
(5301, "surfaced", "write_path_rule"),
(5302, "surfaced", "write_path_rule"),
# The tool arm chose 5303 and nothing came of it.
(5303, "surfaced", "pre_tool_rule"),
# The preload carried 5301 as well.
(5301, "surfaced", "session_start"),
# An agent opened 5301; a person opened 5303, which is not a hint
# landing.
(5301, "pulled", "mcp_get_rule"),
(5303, "pulled", "rest_rule"),
])
try:
ru = (await retrieval_summary(990016, days=30))["rule_usage"]
assert "by_source_failed" not in ru, "the join did not execute"
by_source = ru["by_source"]
wp = by_source["write_path_rule"]
assert (wp["rules_surfaced"], wp["rules_pulled"]) == (2, 1)
assert wp["pull_through"] == 0.5
assert wp["ambient"] is False
tool = by_source["pre_tool_rule"]
assert (tool["rules_surfaced"], tool["rules_pulled"]) == (1, 0)
assert tool["pull_through"] == 0.0
preload = by_source["session_start"]
# The pull is counted against every surface that showed the rule,
# the upper bound the readout states.
assert (preload["rules_surfaced"], preload["rules_pulled"]) == (1, 1)
assert preload["pull_through"] is None
assert preload["ambient"] is True
assert "mcp_get_rule" not in by_source, "a pull is not a surface"
finally:
await cleanup()
@pytest.mark.integration
@pytest.mark.asyncio
async def test_ambient_alone_reports_no_ratio(_dispose_engine):
+41
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@@ -198,6 +198,47 @@ async def test_usage_for_rules_aggregates_per_rule(_dispose_engine):
await s.commit()
@pytest.mark.integration
@pytest.mark.asyncio
async def test_usage_for_rules_counts_only_the_window_it_is_given(_dispose_engine):
"""Two windows have to be comparable, so an event before `since` is left
out of every count — and without `since` it is counted."""
from datetime import datetime, timedelta, timezone
from sqlalchemy import delete
from grimoire.models import async_session
from grimoire.models.rule_usage import RuleUsageEvent
old = datetime.now(timezone.utc) - timedelta(days=30)
async with async_session() as s:
s.add_all([
RuleUsageEvent(user_id=990022, rule_id=6011, event=SURFACED,
source="write_path_rule", created_at=old),
RuleUsageEvent(user_id=990022, rule_id=6011, event=PULLED,
source="mcp_get_rule", created_at=old),
RuleUsageEvent(user_id=990022, rule_id=6011, event=SURFACED,
source="write_path_rule"),
])
await s.commit()
try:
since = datetime.now(timezone.utc) - timedelta(days=14)
recent = (await rule_usage.usage_for_rules([6011], since=since))[6011]
assert recent["surfaced_count"] == 1
assert recent["pull_count"] == 0
assert recent["last_pulled_at"] is None
everything = (await rule_usage.usage_for_rules([6011]))[6011]
assert everything["surfaced_count"] == 2
assert everything["pull_count"] == 1
finally:
async with async_session() as s:
await s.execute(
delete(RuleUsageEvent).where(RuleUsageEvent.user_id == 990022)
)
await s.commit()
@pytest.mark.integration
@pytest.mark.asyncio
async def test_usage_for_rules_on_an_empty_id_list_asks_the_database_nothing(