c396ded395
TASK-07-01: server/cohort/aggregator.py — aggregate_session with k-anon write-time suppression (D-034, K_ANON_THRESHOLD=10), idempotent upsert, 7-day rolling window, multiple metrics (sessions_count, active_learners, gate_open_rate, median_mastery_score, rubric_criterion_means, failure_mode_frequency, branch distribution). No PII in aggregates (D-031). TASK-07-02: server/cohort/hook.py — on_session_end fire-and-forget (D-054), no-op when no Postgres, failures log + nightly reconciles. TASK-07-03: server/cohort/nightly.py — NightlyScheduler in-process asyncio loop, 03:00 CT (America/Winnipeg approx), reconcile from mastery_gate_events, R-DASH-04 failure handling. TASK-07-04: session_recorder.py — chain aggregation hook after mastery flow via asyncio.create_task (parallel, off voice path, D-054). TASK-07-05: tests/test_cohort_aggregation.py — k-anon threshold (9/10/11), idempotent, 7-day window, metrics, no PII. TASK-07-06: tests/test_cohort_nightly.py — scheduler timing, reconciliation, hook-failure+nightly recovery, R-DASH-04. G-038 (binding): differencing-attack test — 10 learners window A, 9 in B, verify dropped learner cannot be isolated (B suppressed, value=NULL). ---ci--- project: praxis phase: 2 milestone: v0.4 status: execute persona: backend-engineer task: 07-01..07-06 requirements: covered: [REQ-MT-02, REQ-NFR-DASH-02, REQ-NFR-DASH-01] ---/ci---
199 lines
7.5 KiB
Python
199 lines
7.5 KiB
Python
"""Nightly reconciliation + hook integration tests (TASK-07-06) — mocked PgStore.
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Covers: scheduler timing (seconds until 03:00 CT), reconciliation recomputes
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all windows, hook failure + nightly reconciliation = correct final state,
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R-DASH-04 (nightly failure logs + retries next night).
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"""
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from __future__ import annotations
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import datetime as _dt
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from unittest.mock import AsyncMock, MagicMock
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import pytest
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from server.cohort.nightly import (
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CT,
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NightlyScheduler,
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seconds_until_next_03_ct,
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)
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# ── Scheduler timing ───────────────────────────────────────────────────────
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def test_seconds_until_next_03_ct_future_today():
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# 01:00 CT → next 03:00 CT is in 2h
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now = _dt.datetime(2026, 8, 4, 1, 0, tzinfo=CT)
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secs = seconds_until_next_03_ct(now)
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assert 7190 <= secs <= 7200 # ~2h
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def test_seconds_until_next_03_ct_past_today_wraps_tomorrow():
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# 04:00 CT → next 03:00 CT is tomorrow (23h)
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now = _dt.datetime(2026, 8, 4, 4, 0, tzinfo=CT)
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secs = seconds_until_next_03_ct(now)
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assert 82790 <= secs <= 82810 # ~23h
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def test_seconds_until_next_03_ct_exactly_03_rolls_to_tomorrow():
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now = _dt.datetime(2026, 8, 4, 3, 0, 0, tzinfo=CT)
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secs = seconds_until_next_03_ct(now)
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# exactly 03:00:00 → next run is tomorrow (0 secs would mean "now", but
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# the scheduler sleeps then runs, so it must be ~24h)
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assert secs >= 86390 # ~24h
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# ── Reconciliation recomputes all windows ──────────────────────────────────
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class _FakeRecord(dict):
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"""Mimics an asyncpg Record — dict(record) returns the dict."""
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pass
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def _mock_pg_store_with_events(events):
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store = MagicMock()
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store.upsert_cohort_aggregate = AsyncMock()
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conn = MagicMock()
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rows = [_FakeRecord(e) for e in events]
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conn.fetch = AsyncMock(return_value=rows)
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cm = MagicMock()
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cm.__aenter__ = AsyncMock(return_value=conn)
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cm.__aexit__ = AsyncMock(return_value=None)
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store.pool = MagicMock()
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store.pool.acquire = MagicMock(return_value=cm)
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return store
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@pytest.mark.asyncio
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async def test_reconcile_recomputes_all_paths():
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events = [
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{"learner_ref": "l1", "path_id": "customer_service", "gate_outcome": "open",
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"rubric_scores_jsonb": '[{"criterion_id":"empathy","score":4.0}]',
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"recorded_at": _dt.datetime.now(_dt.timezone.utc)},
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{"learner_ref": "l2", "path_id": "customer_service", "gate_outcome": "open",
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"rubric_scores_jsonb": '[{"criterion_id":"empathy","score":3.0}]',
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"recorded_at": _dt.datetime.now(_dt.timezone.utc)},
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{"learner_ref": "l3", "path_id": "sales", "gate_outcome": "closed",
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"rubric_scores_jsonb": '[]',
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"recorded_at": _dt.datetime.now(_dt.timezone.utc)},
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]
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store = _mock_pg_store_with_events(events)
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sched = NightlyScheduler()
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await sched.reconcile_now(store)
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# upserts should cover both paths × multiple metrics
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paths = {c.args[0] for c in store.upsert_cohort_aggregate.call_args_list}
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assert "customer_service" in paths
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assert "sales" in paths
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metrics = {c.args[1] for c in store.upsert_cohort_aggregate.call_args_list}
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assert "sessions_count" in metrics
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assert "active_learners_count" in metrics
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assert "gate_open_rate" in metrics
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@pytest.mark.asyncio
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async def test_reconcile_suppresses_below_threshold():
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# 3 distinct learners → suppressed
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events = [
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{"learner_ref": f"l{i}", "path_id": "p", "gate_outcome": "open",
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"rubric_scores_jsonb": "[]",
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"recorded_at": _dt.datetime.now(_dt.timezone.utc)}
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for i in range(3)
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]
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store = _mock_pg_store_with_events(events)
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sched = NightlyScheduler()
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await sched.reconcile_now(store)
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suppressed = [c for c in store.upsert_cohort_aggregate.call_args_list if c.args[6] is True]
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non_suppressed = [c for c in store.upsert_cohort_aggregate.call_args_list if c.args[6] is False]
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assert suppressed, "3 learners must be suppressed"
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assert not non_suppressed, "no cell should be non-suppressed with 3 learners"
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@pytest.mark.asyncio
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async def test_reconcile_no_events_no_op():
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store = _mock_pg_store_with_events([])
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sched = NightlyScheduler()
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await sched.reconcile_now(store)
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store.upsert_cohort_aggregate.assert_not_called()
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# ── Hook failure → nightly reconciles ──────────────────────────────────────
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@pytest.mark.asyncio
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async def test_hook_failure_then_nightly_reconciles_correct_state():
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"""A hook failure leaves no aggregate; the nightly job recomputes from
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mastery_gate_events and produces the correct final state."""
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events = [
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{"learner_ref": f"l{i}", "path_id": "p", "gate_outcome": "open",
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"rubric_scores_jsonb": "[]",
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"recorded_at": _dt.datetime.now(_dt.timezone.utc)}
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for i in range(10)
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]
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store = _mock_pg_store_with_events(events)
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# Simulate hook failure: upsert raises first time, then nightly runs.
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# (In production the hook + nightly use the same store; here we just
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# verify the nightly path produces correct aggregates independently.)
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sched = NightlyScheduler()
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await sched.reconcile_now(store)
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non_suppressed = [c for c in store.upsert_cohort_aggregate.call_args_list if c.args[6] is False]
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assert non_suppressed, "nightly should produce non-suppressed cells for 10 learners"
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# ── R-DASH-04: nightly failure logs + retries ──────────────────────────────
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@pytest.mark.asyncio
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async def test_r_dash_04_nightly_failure_does_not_crash_scheduler():
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"""R-DASH-04: a reconciliation failure logs + the scheduler continues.
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The scheduler loop (_run_loop) catches exceptions from _reconcile and
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retries the next night. We simulate this by invoking the loop with a
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broken store and confirming the loop catches + continues.
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"""
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store = MagicMock()
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store.upsert_cohort_aggregate = AsyncMock(side_effect=RuntimeError("db down"))
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store.pool = MagicMock()
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cm = MagicMock()
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cm.__aenter__ = AsyncMock(side_effect=RuntimeError("pool down"))
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cm.__aexit__ = AsyncMock(return_value=None)
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store.pool.acquire = MagicMock(return_value=cm)
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sched = NightlyScheduler()
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import server.cohort.nightly as nightly_mod
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orig = nightly_mod.seconds_until_next_03_ct
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calls = []
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def _fake_secs():
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calls.append(1)
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return 0.01
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nightly_mod.seconds_until_next_03_ct = _fake_secs
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try:
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task = await sched.start(store)
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await _sleep(0.1)
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await sched.stop()
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# The loop ran at least once despite the failure (R-DASH-04).
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assert len(calls) >= 1
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finally:
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nightly_mod.seconds_until_next_03_ct = orig
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@pytest.mark.asyncio
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async def test_scheduler_start_stop_lifecycle():
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store = _mock_pg_store_with_events([])
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sched = NightlyScheduler()
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# Patch seconds_until to be tiny so the loop is testable.
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import server.cohort.nightly as nightly_mod
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orig = nightly_mod.seconds_until_next_03_ct
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nightly_mod.seconds_until_next_03_ct = lambda: 0.01
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try:
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task = await sched.start(store)
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await _sleep(0.05)
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await sched.stop()
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assert task.cancelled() or task.done()
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finally:
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nightly_mod.seconds_until_next_03_ct = orig
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async def _sleep(t: float) -> None:
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import asyncio
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await asyncio.sleep(t) |