Files
roboco/tests/integration/test_member_perf_sweep.py
T
a8cb2470ba v0.15.0: Metrics granularity — per-member / per-task / org + CEO scorecards (#289)
* feat(metrics): capture per-session turns + tool_calls (phase 1)

Persist LLM iterations (turns) and tool invocations per agent spawn session,
the raw signal the granular per-member performance metrics build on (real
effort/iterations vs wall-clock).

- sum_transcript_usage returns a 5-tuple adding turns = unique assistant
  message-id count; _usage_from_transcript + _resolve_active_tokens updated to
  the 5-tuple (active-tokens keeps its 4-tuple contract by slicing).
- SDK: _SessionState.turns, set by /usage/sync; /usage/status (TokenUsageStatus)
  now carries turns + tool_calls (= total_calls).
- orchestrator: new _resolve_final_turns_tools (SDK primary, transcript fallback
  for turns only; Grok -> 0/0) wired into _finalize_spawn_session, which writes
  turns + tool_calls to agent_spawn_sessions.
- migration 055 adds turns + tool_calls (BigInteger DEFAULT 0 -> historical/Grok
  rows read 0, surfaced as n/a). Verified real alembic upgrade/downgrade.

Part of metrics-granularity (v0.15.0); recon-adjusted plan on disk.

* feat(metrics): pure compute_stage_effort helper (phase 2, part 1)

Foundation-layer overlap math (no DB): split each task status window into
active (merged wall-clock overlap of spawn stints — concurrent stints counted
once, so active <= window) vs wait (queue/review idle). Distinct from summed
effort. The per-task metrics service will feed it audit-log windows + spawn
stints. 9 unit tests (disjoint/nested/partial/merged/clamped/zero/multi-window).

* feat(metrics): per-task live metrics + GET /metrics/task/{id} (phase 2)

TaskMetrics dataclass + MetricsService.get_task_metrics: summed spawn effort
(vs wall-clock), turns/tool_calls/tokens/cost, per-stage active-vs-wait
(compute_stage_effort over audit windows x spawn stints), and who-caused-rework
(revision_count + named qa/pr fail events). Open stints and the open final
stage window close at completed_at for a terminal task (else now), so stages
don't grow past completion. Exposed at GET /dashboard/metrics/task/{task_id}
(404 if absent). Real-PG tests (compose/none/in-flight) + route tests (200/404).

* feat(metrics): CEO-as-member scorecard + ceo_reject audit regression (phase 3)

The human CEO is a measured member, read purely from audit_log (agent_role='ceo'
serializes from the CEO StrEnum): approval dwell (awaiting_ceo_approval -> a CEO
decision, incl. the coordination-root reject that lands in pending), unblock
dwell (blocked -> a CEO revive), and god-mode action count (every CEO-attributed
transition). CeoScorecard + MetricsService.get_ceo_scorecard (p50/p90 via
PERCENTILE_CONT, expanding IN for the decision sets) + GET
/dashboard/metrics/member/ceo (declared before any future member/{id} route).

The ceo_reject coordination-root audit gap the plan meant to close was already
closed by the gap-sweep (routes through admin_set_status -> agent_role='ceo'
audit); locked with a regression assertion in the existing coordination-reject
test. Real-PG tests: approval/unblock/godmode, non-ceo exclusion, empty->zeros.

* feat(metrics): audit instrumentation for escalations/blocked-others/idle (phase 4a)

The three extra per-member metrics that had no data source get durable,
in-session audit events (additive; never gate the underlying action):
- apply_escalation -> task.escalated (details.escalator_slug) on both the
  normal block path and the pool-divert path -> escalations count.
- _unblock_dependents -> task.unblocked_dependents (details.count) on the
  completed BLOCKER task, captured before the dependency edges are pruned ->
  blocked-others count (sweeper attributes to the blocker's owner).
- mark_agent_idle -> agent.idle (details.agent_slug) -> idle/utilization (the
  sweeper pairs an idle mark to the member's next spawn for idle duration).
(QA pass-rate needs no new event — reuses task.awaiting_documentation[qa] +
task.qa_fail.) Real-PG tests for each; 111 transition tests still green.

* feat(metrics): member_performance_daily rollup table + migration 056 (phase 4b)

The per-member scorecard rollup: one row per (date, member_kind, agent_slug),
CEO as a first-class member_kind='ceo' row (agent_slug='' NOT NULL so the
NULL-distinct UNIQUE keeps it unique). Full column set + the four CEO-approved
extras (qa_reviews_total/passed, escalations, blocked_others, idle_seconds) plus
blocked_seconds. Overwrite-upsert on (date, member_kind, agent_slug) for an
idempotent sweep. Migration 056 verified real up/down (24 cols, 4 indexes).

* feat(metrics): _sweep_member_performance rollup sweeper (phase 4c)

The daily per-member rollup sweep (mirrors _sweep_daily_rollup): a trailing
7-day, idempotent overwrite-upsert wired into _run_sweep. One focused query per
metric merges into a (date, agent_slug) accumulator — spawn effort/turns/tokens/
cost, completed/first-pass/revisions-received, revisions-caused (qa/pr fails),
QA pass-rate (passed + total), escalations (by escalator_slug), blocked-others
(unblocked_dependents by blocker owner), idle_seconds (idle mark -> next spawn),
blocked_seconds (blocked dwell) — plus one CEO row/day (approval/unblock dwell +
god-mode). Real-PG test asserts every facet + idempotency (a 2nd sweep
overwrites, never doubles); spawn-day != completion-day split is by-design.

* feat(metrics): member/org rollup scorecards + endpoints + live overlay (phase 5)

MemberScorecard + OrgScorecard with derived rates (FPY, effort-throughput,
turns/tool-calls per task, QA pass-rate, utilization) — all division-guarded to
None. get_member_scorecard reads member_performance_daily by slug and overlays
the member's live in-flight (non-terminal) tasks' effort via get_task_metrics
(disjoint by status: completion counts stay rollup-only, overlay only enriches
effort/turns/cost; includes_live_inflight flags it). get_org_scorecard
aggregates the cell (?team=) or whole org. Routes: GET /metrics/member/{agent_id}
(404 if absent, after the ceo literal route) + GET /metrics/org?team=. Real-PG
tests (derived rates, overlay no double-count, guards, org) + route tests.

* feat(metrics): granular CEO completion notification (phase 6)

There was no CEO completion notification at all (EventType.TASK_COMPLETED was
defined but never emitted). Add notify_ceo_of_completion in
NotificationDeliveryService — a granular body (real effort vs wall-clock +
stints/turns/tool-calls/revisions[QA/PR]/cost from get_task_metrics; degrades to
wall-clock-only, turns 'n/a', when there are no spawn sessions). Reuses the
existing ALERT type (no enum migration; the notificationtype PG enum is fixed at
001). ceo_approve now emits TASK_COMPLETED + fires the notification (best-effort
via _notify_completion — never blocks completion); complete() emits
TASK_COMPLETED too (closes the dead-code gap; the WS bridge can forward it).
Pure formatter tests + real-PG notification test.

* [metrics-granularity] Phase 7: panel Scorecards tab + dashboard overview

Add the CEO-facing metrics surfaces for the granularity feature:

- New "Scorecards" tab on the Metrics page: org rollup headline, the
  CEO-as-member card (approval/unblock dwell + god-mode count), and a
  per-member table (completed, first-pass yield, active effort, turns/task,
  QA pass-rate, escalations, blocked-others, utilization). Each member row
  self-fetches its rollup scorecard; live in-flight rows carry a "live" badge.
- New dashboard overview card (ScorecardOverviewPanel): org-wide 30-day
  headline (completed, FPY, throughput/hr, active effort, cost) deep-linking
  into the Scorecards tab.
- Plumbing: TaskMetrics/MemberScorecard/OrgScorecard/CeoScorecard types,
  observability API client methods + empty fallbacks, and the four
  useCeoScorecard/useMemberScorecard/useOrgScorecard/useTaskMetrics hooks.

Panel gate green: tsc, eslint, prettier, vitest (175 tests, +6 new).

* [metrics-granularity] test: make completion-notification robust to shared-DB CEO

test_notify_ceo_of_completion_creates_alert errored in the full suite (passed
in isolation): the session-scoped test DB is shared across the run, and the
sibling real-DB board-gate test commits a role=CEO agent (slug="ceo") without
cleanup — so my env fixture's hardcoded slug="ceo" insert hit a unique-constraint
violation, and a second role=CEO row would also make _get_ceo_agent()'s
scalar_one_or_none() raise. Reuse an existing CEO when present (the singleton the
production system actually has), else create one with a unique slug. Order-
independent. Also reflow test_metrics_instrumentation.py to ruff format.

* chore(release): 0.15.0

Metrics granularity: per-member/per-task/org + CEO-as-member scorecards,
turn/tool-call capture (migration 055), member_performance_daily rollup
(migration 056) with QA pass-rate / escalations / blocked-others / utilization,
per-task active-vs-wait metrics, granular completion notification, panel
Scorecards tab + dashboard Performance card, and the ceo_reject audit fix.

Version bump across the canonical set + CHANGELOG.

* [metrics-granularity] fix pre-tag audit findings (overlay double-count + panel error states)

Adversarial review before the v0.15.0 tag surfaced two real logical gaps:

- MAJOR (backend): the live in-flight overlay re-summed ALL sessions of every
  non-terminal task via get_task_metrics, but _msweep_spawn already rolls up
  every CLOSED session regardless of task status — so a closed session on a
  still-open task was counted twice (rollup + overlay), permanently inflating a
  member's effort/turns/tokens/cost on the common reap/respawn path. The overlay
  now sums only OPEN sessions (ended_at IS NULL), which the closed-only rollup
  can never contain — disjoint by construction. A just-closed session lands in
  the rollup on the next ~60s sweep (no gap of note). Aggregated in SQL to mirror
  _msweep_spawn. Regression test reproduces the double-count (turns 10→5).

- MAJOR (panel): the four new scorecard surfaces used `isLoading || !data` with
  no isError branch, so a failed query span forever on a skeleton. They now
  surface a load error. Tests added.

Also: OrgSummary active-effort formatting no longer round-trips hours→seconds→
hours; dashboard grid uses xl:grid-cols-4 (was 2xl) so 4 panels show at 1280px;
corrected the inaccurate "NULL distinct" CEO-row uniqueness comment (agent_slug
is NOT NULL; the '' tuple is simply distinct from agent rows).

make quality GREEN (cov 95.31%); panel GREEN (vitest 178).

* [metrics-granularity] fix: decode bytes stream message-id before XCLAIM

StreamEventBus._recover_stream passed the pending message id to XCLAIM via
str() on the raw bytes the client returns (redis client has no
decode_responses), producing "b'1782066556728-0'". Redis rejects that with
"Unrecognized XCLAIM option", so pending-message recovery threw on every
reclaim tick and unacked messages from crashed/slow consumers were never
reclaimed (leaking in the PEL on every stream, spamming the error log). Decode
via the existing _to_str helper — the fix the sibling claim path already uses.

Pre-existing in v0.14.0 (unrelated to metrics granularity); folded into this
release per CEO. TDD regression test + CHANGELOG entry. make quality GREEN.

---------

Co-authored-by: Renn F <rennf93@users.noreply.github.com>
2026-07-01 05:18:45 +02:00

300 lines
8.6 KiB
Python

"""_sweep_member_performance — the granular per-member rollup, against real PG.
Seeds a day of spawn sessions + completed tasks + the new audit events
(escalated / unblocked_dependents / agent.idle / qa pass+fail / CEO decisions),
runs the sweep, and asserts the agent + CEO rows — plus idempotency (a second
sweep overwrites, never doubles).
"""
from __future__ import annotations
from contextlib import asynccontextmanager
from datetime import UTC, datetime, timedelta
from typing import TYPE_CHECKING, Any
from unittest.mock import patch
from uuid import uuid4
import pytest
import pytest_asyncio
from roboco.db.tables import (
AgentSpawnSessionTable,
AgentTable,
AuditLogTable,
MemberPerformanceDailyTable,
ProjectTable,
TaskTable,
)
from roboco.models.base import (
AgentRole,
AgentStatus,
Complexity,
TaskNature,
TaskStatus,
TaskType,
Team,
)
from roboco.runtime.orchestrator import AgentOrchestrator
from sqlalchemy import select
if TYPE_CHECKING:
from collections.abc import AsyncIterator
from sqlalchemy.ext.asyncio import AsyncSession
# Yesterday at noon UTC: safely inside the 7-day window and far from midnight,
# so started_at / completed_at (+1h) and all audit events share ONE date
# (the sweep legitimately splits cross-midnight work across days — not under test
# here). This keeps the seeded member's rollup on a single row.
_BASE = (datetime.now(UTC) - timedelta(days=1)).replace(
hour=12, minute=0, second=0, microsecond=0
)
_ACTIVE_SECONDS = 600
_APPROVAL_DWELL_SECONDS = 300
_COMPLETED_TASKS = 2
_BLOCKED_OTHERS = 2
_QA_TOTAL = 2
class _NoCommitSession:
"""Delegates to the real test session but turns commit() into flush() so the
per-test rollback isolation holds while the sweep still 'commits'."""
def __init__(self, real: Any) -> None:
self._real = real
def __getattr__(self, name: str) -> Any:
return getattr(self._real, name)
async def commit(self) -> None:
await self._real.flush()
def _agent(role: AgentRole, slug: str) -> AgentTable:
return AgentTable(
id=uuid4(),
name=slug,
slug=slug,
role=role,
team=Team.BACKEND,
status=AgentStatus.ACTIVE,
model_config={},
system_prompt="x",
capabilities=[],
permissions={},
metrics={},
)
def _audit(
target_id: Any,
event_type: str,
ts: datetime,
*,
agent_id: Any = None,
details: dict[str, Any] | None = None,
) -> AuditLogTable:
return AuditLogTable(
id=uuid4(),
event_type=event_type,
agent_id=agent_id,
target_type="task",
target_id=target_id,
severity="info",
details=details or {},
timestamp=ts,
)
@pytest_asyncio.fixture
async def seeded(db_session: AsyncSession) -> AsyncIterator[dict]:
dev = _agent(AgentRole.DEVELOPER, f"be-dev-{uuid4().hex[:6]}")
qa = _agent(AgentRole.QA, f"be-qa-{uuid4().hex[:6]}")
db_session.add_all([dev, qa])
await db_session.flush()
project = ProjectTable(
id=uuid4(),
name="P",
slug=f"p-{uuid4().hex[:6]}",
git_url="https://example.com/r.git",
assigned_cell=Team.BACKEND,
created_by=dev.id,
)
db_session.add(project)
await db_session.flush()
task = TaskTable(
id=uuid4(),
title="t",
description="d",
acceptance_criteria=["ac"],
task_type=TaskType.CODE,
nature=TaskNature.TECHNICAL,
status=TaskStatus.COMPLETED,
team=Team.BACKEND,
project_id=project.id,
created_by=dev.id,
assigned_to=dev.id,
revision_count=1,
estimated_complexity=Complexity.MEDIUM,
started_at=_BASE,
completed_at=_BASE + timedelta(hours=1),
)
blocker = TaskTable(
id=uuid4(),
title="b",
description="d",
acceptance_criteria=["ac"],
task_type=TaskType.CODE,
nature=TaskNature.TECHNICAL,
status=TaskStatus.COMPLETED,
team=Team.BACKEND,
project_id=project.id,
created_by=dev.id,
assigned_to=dev.id,
estimated_complexity=Complexity.MEDIUM,
started_at=_BASE,
completed_at=_BASE + timedelta(hours=1),
)
db_session.add_all([task, blocker])
await db_session.flush()
db_session.add(
AgentSpawnSessionTable(
id=uuid4(),
agent_slug=dev.slug,
team="backend",
role="developer",
model="claude",
task_id=str(task.id),
started_at=_BASE,
ended_at=_BASE + timedelta(seconds=600),
turns=5,
tool_calls=10,
tokens_input=100,
tokens_output=80,
estimated_cost_usd=1.5,
)
)
db_session.add_all(
[
_audit(
task.id,
"task.qa_fail",
_BASE,
agent_id=qa.id,
details={"agent_role": "qa"},
),
_audit(
task.id,
"task.awaiting_documentation",
_BASE + timedelta(minutes=1),
agent_id=qa.id,
details={"agent_role": "qa"},
),
_audit(
task.id,
"task.escalated",
_BASE,
details={"escalator_slug": dev.slug, "target_slug": qa.slug},
),
_audit(
blocker.id, "task.unblocked_dependents", _BASE, details={"count": 2}
),
_audit(
dev.id,
"agent.idle",
_BASE + timedelta(minutes=5),
agent_id=dev.id,
details={"agent_slug": dev.slug},
),
# CEO decision: approval + god-mode (to_status is what the pairing reads).
_audit(
task.id,
"task.awaiting_ceo_approval",
_BASE,
details={"to_status": "awaiting_ceo_approval", "agent_role": "main_pm"},
),
_audit(
task.id,
"task.completed",
_BASE + timedelta(seconds=300),
details={"to_status": "completed", "agent_role": "ceo"},
),
]
)
await db_session.flush()
yield {"db": db_session, "dev": dev.slug, "qa": qa.slug}
async def _rows(db: AsyncSession, slug: str) -> list[Any]:
return list(
(
await db.execute(
select(MemberPerformanceDailyTable).where(
MemberPerformanceDailyTable.agent_slug == slug
)
)
)
.scalars()
.all()
)
async def _run_sweep(db: AsyncSession) -> None:
orch = AgentOrchestrator.__new__(AgentOrchestrator)
@asynccontextmanager
async def _cm() -> Any:
yield _NoCommitSession(db)
with patch("roboco.db.base.get_session_factory", return_value=_cm):
await orch._sweep_member_performance()
@pytest.mark.asyncio
async def test_sweep_populates_agent_and_ceo_rows(seeded: dict) -> None:
db = seeded["db"]
await _run_sweep(db)
dev_rows = await _rows(db, seeded["dev"])
assert len(dev_rows) == 1
dev = dev_rows[0]
assert dev.member_kind == "agent"
assert dev.active_runtime_seconds == _ACTIVE_SECONDS
assert (dev.turns, dev.tool_calls, dev.tokens) == (5, 10, 180)
assert dev.cost_usd == pytest.approx(1.5)
assert dev.tasks_completed == _COMPLETED_TASKS # task + blocker
assert dev.tasks_first_pass == 1 # blocker had 0 revisions
assert dev.revisions_received == 1
assert dev.escalations == 1
assert dev.blocked_others == _BLOCKED_OTHERS
assert dev.idle_seconds > 0
qa_rows = await _rows(db, seeded["qa"])
assert len(qa_rows) == 1
qa = qa_rows[0]
assert qa.revisions_caused == 1 # the qa_fail
assert qa.qa_reviews_passed == 1
assert qa.qa_reviews_total == _QA_TOTAL # 1 pass + 1 fail
ceo_rows = await _rows(db, "")
assert len(ceo_rows) == 1
ceo = ceo_rows[0]
assert ceo.member_kind == "ceo"
assert ceo.godmode_actions == 1
assert ceo.ceo_approval_dwell_seconds == _APPROVAL_DWELL_SECONDS
@pytest.mark.asyncio
async def test_sweep_is_idempotent(seeded: dict) -> None:
db = seeded["db"]
await _run_sweep(db)
await _run_sweep(db) # second pass must overwrite, not double
dev = (await _rows(db, seeded["dev"]))[0]
assert dev.active_runtime_seconds == _ACTIVE_SECONDS # not 1200
assert dev.tasks_completed == _COMPLETED_TASKS # not 4
assert dev.escalations == 1
assert len(await _rows(db, seeded["dev"])) == 1