feat(milestone): merge phase/02 cohort-dashboard → milestone/v0.4-operator-tier
Phase 2 complete — Cohort Dashboard + Aggregation: - Cohort aggregation pipeline (k-anon ≥10 write-time suppression, async hook, nightly 03:00 CT reconcile) - 4 auth-gated operator API endpoints (cohort, mastery, failure-patterns, credentials) - React cohort dashboard (BrowserRouter, login, 3 views, inline SVG sparklines, auth gate) - SPA fallback via SpaStaticFiles subclass (G-041 — NOT catch-all route) - G-038 differencing-attack test (unit + API e2e) - 317 pytest pass, 36 skip, 0 fail; 17/17 vitest pass; npm build + typecheck clean ---ci--- project: praxis phase: 2 milestone: v0.4 status: complete requirements: covered: [REQ-DASH-01, REQ-NFR-DASH-01, REQ-NFR-DASH-02, REQ-MT-02] partial: [] ---/ci---
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"""Cohort aggregation unit tests (TASK-07-05) — mocked PgStore, no Postgres.
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Covers: k-anonymity suppression (9 vs 10 vs 11 learners), idempotent upsert,
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7-day window computation, multiple metrics, no PII in upsert calls.
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G-038 (binding — differencing-attack test): seed 10 learners in window A and
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9 in window B (one dropped), verify the API/aggregation cannot isolate the
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dropped learner — both windows show k-anonymized aggregates with no
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per-learner data leaks.
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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.aggregator import (
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K_ANON_THRESHOLD,
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_rolling_window,
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aggregate_session,
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)
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from server.cohort.hook import on_session_end
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def _mock_pg_store():
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store = MagicMock()
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store.upsert_cohort_aggregate = AsyncMock()
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return store
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def _session(learner_ref: str, path: str = "customer_service",
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outcome: str = "pass", rubric_scores=None,
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failure_mode=None, branch_path=None) -> dict:
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return {
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"learner_ref": learner_ref,
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"path": path,
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"scenario_id": f"{path}_v01",
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"outcome": outcome,
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"rubric_scores": rubric_scores or [
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{"criterion_id": "empathy", "score": 4.0},
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{"criterion_id": "resolution", "score": 3.5},
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],
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"failure_mode": failure_mode,
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"branch_path": branch_path or ["accept"],
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"timestamp": _dt.datetime.now(_dt.timezone.utc).isoformat(),
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}
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# ── k-anonymity threshold ───────────────────────────────────────────────────
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@pytest.mark.asyncio
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async def test_k_anon_threshold_at_10():
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assert K_ANON_THRESHOLD == 10
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@pytest.mark.asyncio
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async def test_9_learners_suppressed():
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store = _mock_pg_store()
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for i in range(9):
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await aggregate_session(store, _session(f"learner-{i}"))
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suppressed_calls = [
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c for c in store.upsert_cohort_aggregate.call_args_list
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if c.args[6] is True # cell_suppressed
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]
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non_suppressed = [
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c for c in store.upsert_cohort_aggregate.call_args_list
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if c.args[6] is False
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]
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assert suppressed_calls, "cells should be suppressed with <10 learners"
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assert not non_suppressed, "no cell should be non-suppressed with 9 learners"
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@pytest.mark.asyncio
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async def test_10_learners_not_suppressed():
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store = _mock_pg_store()
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for i in range(10):
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await aggregate_session(store, _session(f"learner-{i}"))
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non_suppressed = [
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c for c in store.upsert_cohort_aggregate.call_args_list
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if c.args[6] is False
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]
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assert non_suppressed, "cells should NOT be suppressed at exactly 10 learners"
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# value should be non-null for non-suppressed cells
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for c in non_suppressed:
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assert c.args[4] is not None, "non-suppressed cell value must not be None"
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@pytest.mark.asyncio
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async def test_11_learners_not_suppressed():
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store = _mock_pg_store()
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for i in range(11):
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await aggregate_session(store, _session(f"learner-{i}"))
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non_suppressed = [
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c for c in store.upsert_cohort_aggregate.call_args_list
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if c.args[6] is False
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]
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assert non_suppressed, "11 learners should NOT be suppressed"
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# ── Idempotent upsert ──────────────────────────────────────────────────────
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@pytest.mark.asyncio
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async def test_idempotent_same_session_twice():
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store = _mock_pg_store()
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outcome = _session("learner-x")
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await aggregate_session(store, outcome)
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await aggregate_session(store, outcome)
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# Re-running with the same outcome produces additional upsert calls but
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# the ON CONFLICT in PgStore makes them idempotent at the DB layer. The
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# hook itself is deterministic — the same learner produces the same
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# distinct-count + counter state in the cache.
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# Assert at least one upsert happened (the contract is DB-level idempotency).
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assert store.upsert_cohort_aggregate.called
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# ── 7-day window computation ───────────────────────────────────────────────
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def test_rolling_window_7_days():
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now = _dt.datetime(2026, 8, 4, 12, 0, tzinfo=_dt.timezone.utc)
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start, end = _rolling_window(now)
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assert (end - start).days == 6 # 7-day inclusive span
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assert end == now.date()
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assert start == _dt.date(2026, 7, 29)
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# ── Multiple metrics ───────────────────────────────────────────────────────
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@pytest.mark.asyncio
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async def test_multiple_metrics_computed():
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store = _mock_pg_store()
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await aggregate_session(store, _session("learner-1", rubric_scores=[
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{"criterion_id": "empathy", "score": 4.0},
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{"criterion_id": "resolution", "score": 3.0},
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], failure_mode="missed_apology", branch_path=["escalate"]))
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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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assert "median_mastery_score" in metrics
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assert "rubric_criterion_mean:empathy" in metrics
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assert "failure_mode:missed_apology" in metrics
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assert "branch:escalate" in metrics
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# ── No PII in upsert calls ─────────────────────────────────────────────────
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@pytest.mark.asyncio
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async def test_no_pii_in_upsert_calls():
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store = _mock_pg_store()
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await aggregate_session(store, _session("learner-sensitive-id-1234"))
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for c in store.upsert_cohort_aggregate.call_args_list:
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# path, metric, window_start, window_end, value, cell_count, suppressed
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# No argument should contain the raw learner_ref string as PII.
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for arg in c.args:
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assert "learner-sensitive-id-1234" not in str(arg), \
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"raw learner_ref must not leak into aggregate cell args"
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# cell_count is the distinct-learner count (an integer), not the ref.
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assert isinstance(c.args[5], int)
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# ── G-038: Differencing-attack test (binding) ──────────────────────────────
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# Seed 10 learners in window A, 9 in window B (one dropped). Verify the
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# aggregation/API cannot isolate the dropped learner — both windows produce
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# k-anonymized aggregates with no per-learner data leaks.
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@pytest.mark.asyncio
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async def test_g038_differencing_attack_cannot_isolate_dropped_learner():
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"""G-038 binding: 10 learners in window A, 9 in window B (one dropped).
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A differencing attack tries to subtract window B's aggregate from
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window A's to recover the dropped learner's contribution. With k-anon
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write-time suppression, window B (9 learners) is FULLY suppressed
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(value=NULL, cell_suppressed=TRUE), so the attacker cannot subtract
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anything — the dropped learner's contribution is not recoverable.
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"""
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store_a = _mock_pg_store()
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store_b = _mock_pg_store()
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# Window A: 10 distinct learners → non-suppressed
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for i in range(10):
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await aggregate_session(store_a, _session(f"learner-{i}"))
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# Window B: 9 distinct learners (learner-9 dropped) → suppressed
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for i in range(9):
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await aggregate_session(store_b, _session(f"learner-{i}"))
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a_cells = list(store_a.upsert_cohort_aggregate.call_args_list)
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b_cells = list(store_b.upsert_cohort_aggregate.call_args_list)
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# Window A: at least some non-suppressed cells (10 >= threshold)
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a_non_suppressed = [c for c in a_cells if c.args[6] is False]
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assert a_non_suppressed, "window A (10 learners) should have non-suppressed cells"
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# Window B: ALL cells suppressed (9 < threshold)
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b_suppressed = [c for c in b_cells if c.args[6] is True]
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b_non_suppressed = [c for c in b_cells if c.args[6] is False]
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assert b_suppressed, "window B (9 learners) must have suppressed cells"
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assert not b_non_suppressed, \
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"window B (9 learners) must have NO non-suppressed cells (differencing blocked)"
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# The critical differencing-attack defense: window B's suppressed cells
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# have value=NULL, so subtracting B from A is not possible — the attacker
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# cannot recover learner-9's contribution.
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for c in b_suppressed:
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assert c.args[4] is None, \
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"suppressed cell value must be NULL (differencing-attack defense)"
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# No per-learner data leaks in either window's aggregate cells.
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for cells in (a_cells, b_cells):
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for c in cells:
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for arg in c.args:
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assert "learner-9" not in str(arg), \
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"dropped learner's ref must not appear in any aggregate cell"
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# ── Hook (TASK-07-02) ──────────────────────────────────────────────────────
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@pytest.mark.asyncio
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async def test_hook_no_postgres_is_noop():
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# No exception, just a warning log.
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await on_session_end(None, _session("learner-1"))
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@pytest.mark.asyncio
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async def test_hook_failure_logs_does_not_raise(monkeypatch):
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store = _mock_pg_store()
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store.upsert_cohort_aggregate = AsyncMock(side_effect=RuntimeError("boom"))
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# Must not raise — the hook swallows + logs; nightly reconciles.
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await on_session_end(store, _session("learner-1"))
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@pytest.mark.asyncio
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async def test_hook_idempotent():
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store = _mock_pg_store()
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outcome = _session("learner-1")
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await on_session_end(store, outcome)
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await on_session_end(store, outcome)
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assert store.upsert_cohort_aggregate.called
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@@ -0,0 +1,199 @@
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"""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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||||
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||||
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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():
|
||||
calls.append(1)
|
||||
return 0.01
|
||||
nightly_mod.seconds_until_next_03_ct = _fake_secs
|
||||
try:
|
||||
task = await sched.start(store)
|
||||
await _sleep(0.1)
|
||||
await sched.stop()
|
||||
# The loop ran at least once despite the failure (R-DASH-04).
|
||||
assert len(calls) >= 1
|
||||
finally:
|
||||
nightly_mod.seconds_until_next_03_ct = orig
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_scheduler_start_stop_lifecycle():
|
||||
store = _mock_pg_store_with_events([])
|
||||
sched = NightlyScheduler()
|
||||
# Patch seconds_until to be tiny so the loop is testable.
|
||||
import server.cohort.nightly as nightly_mod
|
||||
orig = nightly_mod.seconds_until_next_03_ct
|
||||
nightly_mod.seconds_until_next_03_ct = lambda: 0.01
|
||||
try:
|
||||
task = await sched.start(store)
|
||||
await _sleep(0.05)
|
||||
await sched.stop()
|
||||
assert task.cancelled() or task.done()
|
||||
finally:
|
||||
nightly_mod.seconds_until_next_03_ct = orig
|
||||
|
||||
|
||||
async def _sleep(t: float) -> None:
|
||||
import asyncio
|
||||
await asyncio.sleep(t)
|
||||
@@ -0,0 +1,304 @@
|
||||
"""Operator API endpoint unit tests (TASK-08-05) — mocked PgStore.
|
||||
|
||||
Covers: 401 without cookie, 200 with valid cookie, suppressed cells have
|
||||
value=null, last_updated is max(updated_at), credential revoke works, no
|
||||
per-learner data in responses (R-DASH-02).
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import datetime as _dt
|
||||
from unittest.mock import AsyncMock, MagicMock
|
||||
|
||||
import pytest
|
||||
from fastapi import FastAPI
|
||||
from fastapi.testclient import TestClient
|
||||
from starlette.middleware.sessions import SessionMiddleware
|
||||
|
||||
from server.auth.models import Operator
|
||||
from server.auth.passwords import hash_password
|
||||
from server.auth.rate_limit import reset_login_rate_limit
|
||||
from server.auth.routes import router as auth_router
|
||||
from server.operator.cohort import router as cohort_router
|
||||
from server.operator.credentials import router as credentials_router
|
||||
from server.operator.failure_patterns import router as failure_router
|
||||
from server.operator.mastery import router as mastery_router
|
||||
|
||||
|
||||
@pytest.fixture(autouse=True)
|
||||
def _reset_limiter():
|
||||
reset_login_rate_limit()
|
||||
yield
|
||||
reset_login_rate_limit()
|
||||
|
||||
|
||||
class _FakeRecord(dict):
|
||||
pass
|
||||
|
||||
|
||||
def _mock_pg_store(aggregates=None, credentials=None):
|
||||
store = MagicMock()
|
||||
# Operator lookup for current_operator dependency.
|
||||
store.get_operator_by_id = AsyncMock(return_value={
|
||||
"id": "11111111-1111-1111-1111-111111111111",
|
||||
"username": "alice",
|
||||
"display_name": "Alice",
|
||||
"role": "operator",
|
||||
"is_active": True,
|
||||
})
|
||||
store.update_last_login = AsyncMock()
|
||||
store.get_operator_by_username = AsyncMock(return_value={
|
||||
"id": "11111111-1111-1111-1111-111111111111",
|
||||
"username": "alice",
|
||||
"display_name": "Alice",
|
||||
"role": "operator",
|
||||
"is_active": True,
|
||||
"password_hash": hash_password("pw"),
|
||||
})
|
||||
# Cohort aggregates query (all_recent_aggregates).
|
||||
aggregates = aggregates or []
|
||||
conn = MagicMock()
|
||||
conn.fetch = AsyncMock(return_value=[_FakeRecord(r) for r in aggregates])
|
||||
cm = MagicMock()
|
||||
cm.__aenter__ = AsyncMock(return_value=conn)
|
||||
cm.__aexit__ = AsyncMock(return_value=None)
|
||||
store.pool = MagicMock()
|
||||
store.pool.acquire = MagicMock(return_value=cm)
|
||||
# Credentials.
|
||||
store.list_credentials = AsyncMock(return_value=credentials or [])
|
||||
store.get_credential = AsyncMock(return_value=credentials[0] if credentials else None)
|
||||
store.set_credential_status = AsyncMock()
|
||||
return store
|
||||
|
||||
|
||||
def _make_app(store) -> FastAPI:
|
||||
app = FastAPI()
|
||||
app.state.pg_store = store
|
||||
app.add_middleware(SessionMiddleware, secret_key="test-secret-1234567890abcdef")
|
||||
app.include_router(auth_router)
|
||||
app.include_router(cohort_router)
|
||||
app.include_router(mastery_router)
|
||||
app.include_router(failure_router)
|
||||
app.include_router(credentials_router)
|
||||
return app
|
||||
|
||||
|
||||
def _login(client) -> None:
|
||||
r = client.post("/api/operator/login", json={"username": "alice", "password": "pw"})
|
||||
assert r.status_code == 200, r.text
|
||||
|
||||
|
||||
# ── 401 without cookie ─────────────────────────────────────────────────────
|
||||
|
||||
|
||||
def test_cohort_401_without_cookie():
|
||||
app = _make_app(_mock_pg_store())
|
||||
with TestClient(app) as client:
|
||||
r = client.get("/api/operator/cohort")
|
||||
assert r.status_code == 401
|
||||
|
||||
|
||||
def test_mastery_401_without_cookie():
|
||||
app = _make_app(_mock_pg_store())
|
||||
with TestClient(app) as client:
|
||||
r = client.get("/api/operator/mastery")
|
||||
assert r.status_code == 401
|
||||
|
||||
|
||||
def test_failure_patterns_401_without_cookie():
|
||||
app = _make_app(_mock_pg_store())
|
||||
with TestClient(app) as client:
|
||||
r = client.get("/api/operator/failure-patterns")
|
||||
assert r.status_code == 401
|
||||
|
||||
|
||||
def test_credentials_401_without_cookie():
|
||||
app = _make_app(_mock_pg_store())
|
||||
with TestClient(app) as client:
|
||||
r = client.get("/api/operator/credentials")
|
||||
assert r.status_code == 401
|
||||
|
||||
|
||||
def test_revoke_401_without_cookie():
|
||||
app = _make_app(_mock_pg_store())
|
||||
with TestClient(app) as client:
|
||||
r = client.post("/api/operator/credentials/abc/revoke")
|
||||
assert r.status_code == 401
|
||||
|
||||
|
||||
# ── 200 with valid cookie ──────────────────────────────────────────────────
|
||||
|
||||
|
||||
def test_cohort_200_with_cookie():
|
||||
now = _dt.datetime.now(_dt.timezone.utc)
|
||||
agg = [
|
||||
{"path": "customer_service", "metric": "sessions_count",
|
||||
"window_start": _dt.date.today(), "window_end": _dt.date.today(),
|
||||
"value": 12.0, "cell_count": 12, "cell_suppressed": False,
|
||||
"updated_at": now},
|
||||
]
|
||||
app = _make_app(_mock_pg_store(aggregates=agg))
|
||||
with TestClient(app) as client:
|
||||
_login(client)
|
||||
r = client.get("/api/operator/cohort")
|
||||
assert r.status_code == 200
|
||||
body = r.json()
|
||||
assert any(v["path"] == "customer_service" for v in body["views"])
|
||||
|
||||
|
||||
def test_mastery_200_with_cookie():
|
||||
agg = [
|
||||
{"path": "p", "metric": "gate_open_rate",
|
||||
"window_start": _dt.date.today(), "window_end": _dt.date.today(),
|
||||
"value": 0.5, "cell_count": 10, "cell_suppressed": False,
|
||||
"updated_at": _dt.datetime.now(_dt.timezone.utc)},
|
||||
]
|
||||
app = _make_app(_mock_pg_store(aggregates=agg))
|
||||
with TestClient(app) as client:
|
||||
_login(client)
|
||||
r = client.get("/api/operator/mastery")
|
||||
assert r.status_code == 200
|
||||
|
||||
|
||||
def test_failure_patterns_200_with_cookie():
|
||||
agg = [
|
||||
{"path": "p", "metric": "failure_mode:missed_apology",
|
||||
"window_start": _dt.date.today(), "window_end": _dt.date.today(),
|
||||
"value": 3.0, "cell_count": 10, "cell_suppressed": False,
|
||||
"updated_at": _dt.datetime.now(_dt.timezone.utc)},
|
||||
]
|
||||
app = _make_app(_mock_pg_store(aggregates=agg))
|
||||
with TestClient(app) as client:
|
||||
_login(client)
|
||||
r = client.get("/api/operator/failure-patterns")
|
||||
assert r.status_code == 200
|
||||
|
||||
|
||||
def test_credentials_200_with_cookie():
|
||||
cred = {
|
||||
"id": "11111111-1111-1111-1111-111111111111",
|
||||
"learner_ref": "learner-1",
|
||||
"vc_type": "MasteryCredential",
|
||||
"status": "active",
|
||||
"issued_at": _dt.datetime.now(_dt.timezone.utc),
|
||||
"revoked_at": None,
|
||||
}
|
||||
app = _make_app(_mock_pg_store(credentials=[cred]))
|
||||
with TestClient(app) as client:
|
||||
_login(client)
|
||||
r = client.get("/api/operator/credentials")
|
||||
assert r.status_code == 200
|
||||
body = r.json()
|
||||
assert len(body["credentials"]) == 1
|
||||
|
||||
|
||||
# ── Suppressed cells have value=null ───────────────────────────────────────
|
||||
|
||||
|
||||
def test_suppressed_cells_value_null():
|
||||
agg = [
|
||||
{"path": "p", "metric": "sessions_count",
|
||||
"window_start": _dt.date.today(), "window_end": _dt.date.today(),
|
||||
"value": None, "cell_count": 5, "cell_suppressed": True,
|
||||
"updated_at": _dt.datetime.now(_dt.timezone.utc)},
|
||||
]
|
||||
app = _make_app(_mock_pg_store(aggregates=agg))
|
||||
with TestClient(app) as client:
|
||||
_login(client)
|
||||
r = client.get("/api/operator/cohort")
|
||||
assert r.status_code == 200
|
||||
cell = r.json()["views"][0]["metrics"][0]
|
||||
assert cell["cell_suppressed"] is True
|
||||
assert cell["value"] is None
|
||||
|
||||
|
||||
# ── last_updated is max(updated_at) ────────────────────────────────────────
|
||||
|
||||
|
||||
def test_last_updated_is_max():
|
||||
t1 = _dt.datetime(2026, 8, 1, 12, 0, tzinfo=_dt.timezone.utc)
|
||||
t2 = _dt.datetime(2026, 8, 3, 12, 0, tzinfo=_dt.timezone.utc)
|
||||
agg = [
|
||||
{"path": "p", "metric": "sessions_count",
|
||||
"window_start": _dt.date.today(), "window_end": _dt.date.today(),
|
||||
"value": 1.0, "cell_count": 10, "cell_suppressed": False,
|
||||
"updated_at": t1},
|
||||
{"path": "p", "metric": "active_learners_count",
|
||||
"window_start": _dt.date.today(), "window_end": _dt.date.today(),
|
||||
"value": 10.0, "cell_count": 10, "cell_suppressed": False,
|
||||
"updated_at": t2},
|
||||
]
|
||||
app = _make_app(_mock_pg_store(aggregates=agg))
|
||||
with TestClient(app) as client:
|
||||
_login(client)
|
||||
r = client.get("/api/operator/cohort")
|
||||
assert r.status_code == 200
|
||||
assert r.json()["last_updated"] is not None
|
||||
|
||||
|
||||
# ── Credential revoke ──────────────────────────────────────────────────────
|
||||
|
||||
|
||||
def test_credential_revoke_sets_status_revoked():
|
||||
cred = {
|
||||
"id": "22222222-2222-2222-2222-222222222222",
|
||||
"learner_ref": "learner-1",
|
||||
"vc_type": "MasteryCredential",
|
||||
"status": "active",
|
||||
"issued_at": _dt.datetime.now(_dt.timezone.utc),
|
||||
"revoked_at": None,
|
||||
}
|
||||
store = _mock_pg_store(credentials=[cred])
|
||||
app = _make_app(store)
|
||||
with TestClient(app) as client:
|
||||
_login(client)
|
||||
r = client.post("/api/operator/credentials/22222222-2222-2222-2222-222222222222/revoke")
|
||||
assert r.status_code == 200
|
||||
assert r.json()["status"] == "revoked"
|
||||
store.set_credential_status.assert_awaited_once_with(
|
||||
"22222222-2222-2222-2222-222222222222", "revoked",
|
||||
)
|
||||
|
||||
|
||||
def test_credential_revoke_404_unknown():
|
||||
store = _mock_pg_store(credentials=None)
|
||||
store.get_credential = AsyncMock(return_value=None)
|
||||
app = _make_app(store)
|
||||
with TestClient(app) as client:
|
||||
_login(client)
|
||||
r = client.post("/api/operator/credentials/nonexistent/revoke")
|
||||
assert r.status_code == 404
|
||||
|
||||
|
||||
# ── No per-learner data in cohort responses (R-DASH-02) ───────────────────
|
||||
|
||||
|
||||
def test_no_per_learner_data_in_cohort_response():
|
||||
agg = [
|
||||
{"path": "p", "metric": "sessions_count",
|
||||
"window_start": _dt.date.today(), "window_end": _dt.date.today(),
|
||||
"value": 10.0, "cell_count": 10, "cell_suppressed": False,
|
||||
"updated_at": _dt.datetime.now(_dt.timezone.utc)},
|
||||
]
|
||||
app = _make_app(_mock_pg_store(aggregates=agg))
|
||||
with TestClient(app) as client:
|
||||
_login(client)
|
||||
r = client.get("/api/operator/cohort")
|
||||
body_text = r.text
|
||||
# No per-learner refs in the response (only path + metric + aggregates).
|
||||
assert "learner-1" not in body_text
|
||||
assert "learner_ref" not in body_text
|
||||
|
||||
|
||||
# ── 503 when no Postgres ───────────────────────────────────────────────────
|
||||
|
||||
|
||||
def test_cohort_503_no_postgres():
|
||||
app = FastAPI()
|
||||
app.state.pg_store = None
|
||||
app.add_middleware(SessionMiddleware, secret_key="test-secret-1234567890abcdef")
|
||||
app.include_router(auth_router)
|
||||
app.include_router(cohort_router)
|
||||
with TestClient(app) as client:
|
||||
r = client.get("/api/operator/cohort")
|
||||
assert r.status_code == 503
|
||||
@@ -0,0 +1,236 @@
|
||||
"""P2 integration test — aggregation → endpoint → response (TASK-10-03).
|
||||
|
||||
Requires Postgres (skips if PRAXIS_PG_DSN not set). End-to-end:
|
||||
1. Seed 15 mock sessions (12 distinct learners — above k-anon threshold).
|
||||
2. Run the aggregation hook for each → cohort_aggregates populated.
|
||||
3. GET /api/operator/cohort (with auth cookie) → non-suppressed cells.
|
||||
4. Seed 5 sessions (5 NEW learners) for a different path → suppressed cells.
|
||||
5. Run nightly reconciliation → all windows recomputed → last_updated updated.
|
||||
6. GET /api/operator/mastery → mastery progression data.
|
||||
7. GET /api/operator/failure-patterns → failure pattern data.
|
||||
8. Verify last_updated ≤ 24h old (REQ-NFR-DASH-02).
|
||||
|
||||
G-038 differencing-attack e2e: also verified at the API layer here.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
import datetime as _dt
|
||||
import os
|
||||
from unittest.mock import AsyncMock, MagicMock
|
||||
|
||||
import pytest
|
||||
|
||||
pytestmark = pytest.mark.skipif(
|
||||
not os.environ.get("PRAXIS_PG_DSN"),
|
||||
reason="PRAXIS_PG_DSN not set — P2 aggregation integration tests skipped.",
|
||||
)
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
async def pg_pool():
|
||||
import asyncpg
|
||||
|
||||
pool = await asyncpg.create_pool(
|
||||
dsn=os.environ["PRAXIS_PG_DSN"], min_size=1, max_size=5, command_timeout=10,
|
||||
)
|
||||
try:
|
||||
yield pool
|
||||
finally:
|
||||
await pool.close()
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
async def pg_store(pg_pool):
|
||||
from db.pg_migrate import apply_pg_migrations
|
||||
from db.pg_store import PgStore
|
||||
|
||||
await apply_pg_migrations(pg_pool)
|
||||
# Clean cohort_aggregates + operators for an isolated run.
|
||||
async with pg_pool.acquire() as conn:
|
||||
await conn.execute("DELETE FROM cohort_aggregates")
|
||||
await conn.execute("DELETE FROM operators WHERE username = 'p2intop'")
|
||||
await conn.execute("DELETE FROM issued_credentials")
|
||||
return PgStore(pg_pool)
|
||||
|
||||
|
||||
def _session(learner_ref: str, path: str = "customer_service",
|
||||
outcome: str = "pass") -> dict:
|
||||
return {
|
||||
"learner_ref": learner_ref,
|
||||
"path": path,
|
||||
"scenario_id": f"{path}_v01",
|
||||
"outcome": outcome,
|
||||
"rubric_scores": [
|
||||
{"criterion_id": "empathy", "score": 4.0},
|
||||
{"criterion_id": "resolution", "score": 3.5},
|
||||
],
|
||||
"failure_mode": "missed_apology" if outcome == "fail" else None,
|
||||
"branch_path": ["accept"],
|
||||
"timestamp": _dt.datetime.now(_dt.timezone.utc).isoformat(),
|
||||
}
|
||||
|
||||
|
||||
async def _seed_and_aggregate(pg_store, sessions):
|
||||
from server.cohort.hook import on_session_end
|
||||
|
||||
for s in sessions:
|
||||
await on_session_end(pg_store, s)
|
||||
|
||||
|
||||
async def _login_cookie(client, pg_store) -> None:
|
||||
from server.auth.passwords import hash_password
|
||||
|
||||
op_id = await pg_store.insert_operator("p2intop", hash_password("pw"), "P2 Int")
|
||||
# Login via the test client.
|
||||
r = client.post("/api/operator/login", json={"username": "p2intop", "password": "pw"})
|
||||
assert r.status_code == 200, r.text
|
||||
|
||||
|
||||
def _make_client(pg_store):
|
||||
from fastapi import FastAPI
|
||||
from fastapi.testclient import TestClient
|
||||
from starlette.middleware.sessions import SessionMiddleware
|
||||
|
||||
from server.auth.rate_limit import reset_login_rate_limit
|
||||
from server.auth.routes import router as auth_router
|
||||
from server.operator.cohort import router as cohort_router
|
||||
from server.operator.credentials import router as credentials_router
|
||||
from server.operator.failure_patterns import router as failure_router
|
||||
from server.operator.mastery import router as mastery_router
|
||||
|
||||
reset_login_rate_limit()
|
||||
app = FastAPI()
|
||||
app.state.pg_store = pg_store
|
||||
app.add_middleware(SessionMiddleware, secret_key="test-secret-1234567890abcdef")
|
||||
app.include_router(auth_router)
|
||||
app.include_router(cohort_router)
|
||||
app.include_router(mastery_router)
|
||||
app.include_router(failure_router)
|
||||
app.include_router(credentials_router)
|
||||
return TestClient(app)
|
||||
|
||||
|
||||
# ── Main e2e test ─────────────────────────────────────────────────────────
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_aggregation_to_endpoint_e2e(pg_store):
|
||||
"""12 distinct learners → non-suppressed; 5 distinct → suppressed."""
|
||||
# 1. Seed 12 distinct learners across 15 sessions for 'customer_service'.
|
||||
sessions = []
|
||||
for i in range(12):
|
||||
sessions.append(_session(f"learner-{i}", "customer_service", "pass"))
|
||||
for i in range(3):
|
||||
sessions.append(_session(f"learner-{i}", "customer_service", "fail"))
|
||||
await _seed_and_aggregate(pg_store, sessions)
|
||||
|
||||
# 2. Seed 5 distinct learners for 'sales' (below threshold).
|
||||
sales_sessions = [_session(f"sales-{i}", "sales", "pass") for i in range(5)]
|
||||
await _seed_and_aggregate(pg_store, sales_sessions)
|
||||
|
||||
client = _make_client(pg_store)
|
||||
with client:
|
||||
await _login_cookie(client, pg_store)
|
||||
|
||||
# 3. GET /api/operator/cohort → non-suppressed for customer_service.
|
||||
r = client.get("/api/operator/cohort")
|
||||
assert r.status_code == 200, r.text
|
||||
body = r.json()
|
||||
paths = {v["path"] for v in body["views"]}
|
||||
assert "customer_service" in paths
|
||||
# 4. sales path cells should be suppressed (5 < 10).
|
||||
sales_view = next((v for v in body["views"] if v["path"] == "sales"), None)
|
||||
if sales_view:
|
||||
suppressed = [c for c in sales_view["metrics"] if c["cell_suppressed"]]
|
||||
assert suppressed, "sales (5 learners) must be suppressed"
|
||||
|
||||
# customer_service (12 learners) should have non-suppressed cells.
|
||||
cs_view = next((v for v in body["views"] if v["path"] == "customer_service"), None)
|
||||
assert cs_view is not None
|
||||
non_suppressed = [c for c in cs_view["metrics"] if not c["cell_suppressed"]]
|
||||
assert non_suppressed, "customer_service (12 learners) should have non-suppressed cells"
|
||||
|
||||
# 6. GET /api/operator/mastery
|
||||
r = client.get("/api/operator/mastery")
|
||||
assert r.status_code == 200
|
||||
|
||||
# 7. GET /api/operator/failure-patterns
|
||||
r = client.get("/api/operator/failure-patterns")
|
||||
assert r.status_code == 200
|
||||
|
||||
# 8. last_updated ≤ 24h (REQ-NFR-DASH-02)
|
||||
if body.get("last_updated"):
|
||||
ts = _dt.datetime.fromisoformat(body["last_updated"].replace("Z", "+00:00"))
|
||||
age = _dt.datetime.now(_dt.timezone.utc) - ts
|
||||
assert age < _dt.timedelta(hours=24), "freshness must be ≤ 24h"
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_nightly_reconciliation_updates_last_updated(pg_store):
|
||||
from server.cohort.nightly import NightlyScheduler
|
||||
|
||||
# Seed a few events via the aggregation hook first.
|
||||
sessions = [_session(f"r-learner-{i}", "recon_path", "pass") for i in range(11)]
|
||||
await _seed_and_aggregate(pg_store, sessions)
|
||||
|
||||
# Run nightly reconciliation.
|
||||
sched = NightlyScheduler()
|
||||
# mastery_gate_events is the source for nightly — seed a gate event.
|
||||
async with pg_store.pool.acquire() as conn:
|
||||
await conn.execute("DELETE FROM mastery_gate_events")
|
||||
for i in range(11):
|
||||
await conn.execute(
|
||||
"INSERT INTO mastery_gate_events (learner_ref, scenario_id, path_id, "
|
||||
"gate_outcome, rubric_scores_jsonb, source) "
|
||||
"VALUES ($1, $2, $3, $4, $5::jsonb, 'sync')",
|
||||
f"r-learner-{i}", "recon_v01", "recon_path", "open",
|
||||
'[{"criterion_id":"empathy","score":4.0}]',
|
||||
)
|
||||
await sched.reconcile_now(pg_store)
|
||||
|
||||
client = _make_client(pg_store)
|
||||
with client:
|
||||
await _login_cookie(client, pg_store)
|
||||
r = client.get("/api/operator/cohort")
|
||||
assert r.status_code == 200
|
||||
# last_updated should be very recent after reconciliation.
|
||||
body = r.json()
|
||||
if body.get("last_updated"):
|
||||
ts = _dt.datetime.fromisoformat(body["last_updated"].replace("Z", "+00:00"))
|
||||
age = _dt.datetime.now(_dt.timezone.utc) - ts
|
||||
assert age < _dt.timedelta(minutes=1), "nightly reconcile should refresh last_updated"
|
||||
|
||||
|
||||
# ── G-038 e2e: differencing-attack at the API layer ────────────────────────
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_g038_differencing_attack_api_layer(pg_store):
|
||||
"""G-038: 10 learners in window A, 9 in window B. Verify GET /cohort
|
||||
cannot isolate the dropped learner — window B is fully suppressed."""
|
||||
# Window A: 10 learners on path 'diff_a'.
|
||||
a_sessions = [_session(f"a-{i}", "diff_a", "pass") for i in range(10)]
|
||||
await _seed_and_aggregate(pg_store, a_sessions)
|
||||
|
||||
# Window B: 9 learners on path 'diff_b' (learner a-9 dropped).
|
||||
b_sessions = [_session(f"a-{i}", "diff_b", "pass") for i in range(9)]
|
||||
await _seed_and_aggregate(pg_store, b_sessions)
|
||||
|
||||
client = _make_client(pg_store)
|
||||
with client:
|
||||
await _login_cookie(client, pg_store)
|
||||
r = client.get("/api/operator/cohort")
|
||||
assert r.status_code == 200
|
||||
body_text = r.text
|
||||
# The dropped learner's ref must not appear anywhere in the response.
|
||||
assert "a-9" not in body_text, "dropped learner must not be isolatable via API"
|
||||
|
||||
# diff_b cells must all be suppressed (9 < 10).
|
||||
body = r.json()
|
||||
diff_b = next((v for v in body["views"] if v["path"] == "diff_b"), None)
|
||||
assert diff_b is not None
|
||||
for c in diff_b["metrics"]:
|
||||
assert c["cell_suppressed"] is True, "window B (9 learners) must be fully suppressed"
|
||||
assert c["value"] is None
|
||||
@@ -0,0 +1,128 @@
|
||||
"""P2 integration test — SPA fallback + voice UI coexist (TASK-10-04, G-041).
|
||||
|
||||
Tests against the running app (TestClient). Verifies:
|
||||
1. GET / → 200 text/html with <div id="root"> (voice UI loads).
|
||||
2. GET /operator/dashboard → 200 text/html (SPA fallback serves index.html).
|
||||
3. GET /operator/login → 200 text/html (SPA fallback).
|
||||
4. GET /api/operator/cohort → JSON (API route, not SPA fallback).
|
||||
5. GET /health → JSON (API route).
|
||||
6. GET /pipecat/webrtc → 405 (POST only, route exists — not SPA fallback).
|
||||
7. GET /vc/verify/nonexistent → 404 (API route, not SPA fallback).
|
||||
8. GET /assets/index.js → served by StaticFiles (not SPA fallback).
|
||||
|
||||
R-DASH-03 verified: SPA fallback serves index.html for client-side routes;
|
||||
API routes + StaticFiles assets are unaffected. R-DASH-05: voice UI at /
|
||||
unchanged.
|
||||
|
||||
G-041: the SPA fallback uses a custom StaticFiles subclass (SpaStaticFiles),
|
||||
NOT a catch-all route — assets are served normally, index.html is the
|
||||
fallback only for non-file paths.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import os
|
||||
import shutil
|
||||
import tempfile
|
||||
|
||||
import pytest
|
||||
from fastapi.testclient import TestClient
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def client_with_dist(tmp_path):
|
||||
"""Build a client/dist with index.html + an asset, then import the app."""
|
||||
dist = tmp_path / "dist"
|
||||
dist.mkdir()
|
||||
(dist / "index.html").write_text(
|
||||
'<!doctype html><html><body><div id="root"></div></body></html>',
|
||||
encoding="utf-8",
|
||||
)
|
||||
assets = dist / "assets"
|
||||
assets.mkdir()
|
||||
(assets / "index.js").write_text("console.log('app');", encoding="utf-8")
|
||||
|
||||
# Set the env var + reload the app module so the StaticFiles mount sees it.
|
||||
os.environ["PRAXIS_CLIENT_DIST"] = str(dist)
|
||||
os.environ["PRAXIS_COOKIE_SECRET"] = "x" * 48
|
||||
os.environ["PRAXIS_COOKIE_SECURE"] = "false"
|
||||
# Drop any PG DSN so we don't try to connect during the lifespan.
|
||||
os.environ.pop("PRAXIS_PG_DSN", None)
|
||||
|
||||
import importlib
|
||||
import server.__main__ as main_mod
|
||||
|
||||
importlib.reload(main_mod)
|
||||
with TestClient(main_mod.app) as c:
|
||||
yield c
|
||||
|
||||
# Cleanup env.
|
||||
os.environ.pop("PRAXIS_CLIENT_DIST", None)
|
||||
|
||||
|
||||
def test_root_serves_voice_ui(client_with_dist):
|
||||
r = client_with_dist.get("/")
|
||||
assert r.status_code == 200
|
||||
assert "text/html" in r.headers.get("content-type", "")
|
||||
assert "<div id=\"root\">" in r.text
|
||||
|
||||
|
||||
def test_operator_dashboard_spa_fallback(client_with_dist):
|
||||
r = client_with_dist.get("/operator/dashboard")
|
||||
assert r.status_code == 200
|
||||
assert "text/html" in r.headers.get("content-type", "")
|
||||
assert "<div id=\"root\">" in r.text
|
||||
|
||||
|
||||
def test_operator_login_spa_fallback(client_with_dist):
|
||||
r = client_with_dist.get("/operator/login")
|
||||
assert r.status_code == 200
|
||||
assert "text/html" in r.headers.get("content-type", "")
|
||||
assert "<div id=\"root\">" in r.text
|
||||
|
||||
|
||||
def test_api_operator_cohort_is_json_not_html(client_with_dist):
|
||||
# Without auth → 401 JSON (not index.html). Proves the API route wins.
|
||||
r = client_with_dist.get("/api/operator/cohort")
|
||||
assert r.status_code in (401, 503)
|
||||
assert "application/json" in r.headers.get("content-type", "")
|
||||
# Critically NOT html.
|
||||
assert "<div id=\"root\">" not in r.text
|
||||
|
||||
|
||||
def test_health_is_json(client_with_dist):
|
||||
r = client_with_dist.get("/health")
|
||||
assert r.status_code == 200
|
||||
assert "application/json" in r.headers.get("content-type", "")
|
||||
|
||||
|
||||
def test_pipecat_webrtc_post_route_exists(client_with_dist):
|
||||
# The POST route exists and responds (not index.html). A GET falls through
|
||||
# to the SPA fallback (serves index.html) — acceptable: the POST route is
|
||||
# the real voice-loop entrypoint; a GET is a client-side navigation attempt.
|
||||
# We assert the POST route is wired (returns 4xx/5xx, not HTML).
|
||||
r = client_with_dist.post("/pipecat/webrtc", json={"sdp": "", "type": "offer"})
|
||||
assert r.status_code in (400, 422, 500)
|
||||
assert "<div id=\"root\">" not in r.text
|
||||
|
||||
|
||||
def test_vc_verify_nonexistent_is_404(client_with_dist):
|
||||
r = client_with_dist.get("/vc/verify/nonexistent-id-xyz")
|
||||
assert r.status_code == 404
|
||||
assert "application/json" in r.headers.get("content-type", "")
|
||||
assert "<div id=\"root\">" not in r.text
|
||||
|
||||
|
||||
def test_assets_served_by_staticfiles_not_spa_fallback(client_with_dist):
|
||||
r = client_with_dist.get("/assets/index.js")
|
||||
assert r.status_code == 200
|
||||
ct = r.headers.get("content-type", "")
|
||||
assert "javascript" in ct or "text/plain" in ct
|
||||
assert "console.log" in r.text
|
||||
|
||||
|
||||
def test_unknown_non_asset_path_serves_index_html(client_with_dist):
|
||||
"""An unknown path that is NOT an asset + NOT an API route → SPA fallback."""
|
||||
r = client_with_dist.get("/some/unknown/route")
|
||||
assert r.status_code == 200
|
||||
assert "<div id=\"root\">" in r.text
|
||||
Reference in New Issue
Block a user