thermograph/tests/notifications/test_notify.py
Emi Griffith 21f7ef4d19 Group regression tests by domain (#215)
Move the flat backend/tests/*.py into domain subfolders so the suite
mirrors the code's concerns:
  data/          climate, grading, scoring, grid, places, store
  web/           api, content, homepage, views
  notifications/ notify, digest, discord (+ dm/interactions/link)
  accounts/      api_accounts
  core/          metrics, singleton, dashboard

conftest.py stays at the tests/ root, so its sys.path setup and shared
fixtures still apply to every subfolder. The four tests that derive repo
paths from __file__ get their depth bumped one level to match their new
location. Pytest discovers the subfolders recursively; the CI command
(python -m pytest backend/tests) is unchanged.

Claude-Session: https://claude.ai/code/session_01XXxmNFy9cZ6Gh8Y9thZn62
2026-07-20 04:50:01 +00:00

213 lines
8.1 KiB
Python

"""Tests for the subscription evaluation engine: trigger detection and message
wording (pure logic), plus an integration check that a full pass fetches a MISSING
archive once but never re-fetches a cached one (against conftest's throwaway DB)."""
import datetime
import types
import uuid
import numpy as np
import polars as pl
import climate
import db
import notify
import push
from models import Notification, PushSubscription, Subscription, User
from sqlalchemy import delete, func, select
def _history() -> pl.DataFrame:
start, end = datetime.date(1990, 1, 1), datetime.date(2020, 12, 31)
dates = [start + datetime.timedelta(days=i) for i in range((end - start).days + 1)]
rng = np.random.default_rng(1)
n = len(dates)
return pl.DataFrame({
"date": dates,
"doy": np.array([d.timetuple().tm_yday for d in dates], dtype="int16"),
"tmax": 70 + rng.normal(0, 8, n),
"tmin": 48 + rng.normal(0, 7, n),
"precip": rng.exponential(0.05, n),
})
def _sub(**kw):
d = dict(metrics=["tmax"], threshold=95, two_sided=False, kind="observed",
label="Testville", lat=1.0, lon=2.0)
d.update(kw)
return types.SimpleNamespace(**d)
def _row(date, **vals):
r = {"date": datetime.date.fromisoformat(date)}
r.update(vals)
return r
def test_high_trigger():
row = _row("2021-07-15", tmax=115.0, tmin=50.0, precip=0.0)
hit = notify._first_trigger(_sub(metrics=["tmax"], threshold=95), [row], _history(), {})
assert hit is not None
_, metric, direction, g = hit
assert metric == "tmax" and direction == "high" and g["percentile"] >= 95
def test_no_trigger_when_normal():
row = _row("2021-07-15", tmax=70.0, tmin=48.0, precip=0.0)
assert notify._first_trigger(_sub(metrics=["tmax"], threshold=95), [row], _history(), {}) is None
def test_low_trigger_only_when_two_sided():
row = _row("2021-07-15", tmax=70.0, tmin=10.0, precip=0.0) # extreme low overnight
assert notify._first_trigger(
_sub(metrics=["tmin"], threshold=95, two_sided=False), [row], _history(), {}) is None
hit = notify._first_trigger(
_sub(metrics=["tmin"], threshold=95, two_sided=True), [row], _history(), {})
assert hit is not None and hit[1] == "tmin" and hit[2] == "low"
def test_precip_never_low_side():
# A dry day has no rain-percentile, so a precip subscription never fires low
# even when two-sided (rain is one-directional).
row = _row("2021-07-15", tmax=70.0, precip=0.0)
assert notify._first_trigger(
_sub(metrics=["precip"], threshold=95, two_sided=True), [row], _history(), {}) is None
def test_compose_observed_wording():
g = {"percentile": 99.0, "value": 115.0, "grade": "Near Record"}
title, body = notify._compose(_sub(kind="observed", label="Phoenix"),
"2026-07-14", "tmax", "high", g)
assert title == "Phoenix: unusually hot day"
assert body.startswith("On 2026-07-14")
assert "99th percentile" in body and "Near Record" in body
def test_compose_forecast_wording():
g = {"percentile": 2.0, "value": 5.0, "grade": "Near Record"}
title, body = notify._compose(_sub(kind="forecast", label="Nome"),
"2026-01-02", "tmin", "low", g)
assert title == "Nome: unusually cold night"
assert body.startswith("Forecast for 2026-01-02")
# --- integration: on-demand archive fetch during a full pass -----------------
def _recent_extreme(today):
dates = [today - datetime.timedelta(days=1), today]
return pl.DataFrame({
"date": dates,
"doy": np.array([d.timetuple().tm_yday for d in dates], dtype="int16"),
"tmax": [72.0, 115.0], # today's high is an extreme -> should trigger
"tmin": [48.0, 48.0],
"precip": [0.0, 0.0],
})
def _seed_single_subscription(cell_id="100_200"):
db.Base.metadata.create_all(db.sync_engine)
uid = uuid.uuid4()
with db.sync_session_maker() as s:
s.execute(delete(User)) # clean slate in the throwaway DB
s.commit()
s.add(User(id=uid, email="pass@example.com", hashed_password="x", is_active=True))
s.commit()
s.add(Subscription(user_id=uid, cell_id=cell_id, label="X", lat=1.0, lon=2.0,
threshold=95, metrics=["tmax"], kind="observed", two_sided=False))
s.commit()
return uid
def _user_notifications(uid):
with db.sync_session_maker() as s:
return s.execute(
select(Notification).where(Notification.user_id == uid)
).scalars().all()
def test_missing_archive_is_fetched_once(monkeypatch):
uid = _seed_single_subscription()
fetched = []
monkeypatch.setattr(climate, "load_cached_history", lambda cell: None)
monkeypatch.setattr(climate, "get_history",
lambda cell: (fetched.append(cell["id"]) or (_history(), {})))
monkeypatch.setattr(climate, "get_recent_forecast",
lambda cell: _recent_extreme(datetime.date.today()))
notify.run_pass()
assert fetched, "a subscribed cell with no cached archive should be fetched once"
assert len(_user_notifications(uid)) == 1
def test_cached_archive_is_never_refetched(monkeypatch):
uid = _seed_single_subscription()
fetched = []
monkeypatch.setattr(climate, "load_cached_history", lambda cell: _history())
monkeypatch.setattr(climate, "get_history",
lambda cell: (fetched.append(cell["id"]) or (_history(), {})))
monkeypatch.setattr(climate, "get_recent_forecast",
lambda cell: _recent_extreme(datetime.date.today()))
notify.run_pass()
assert not fetched, "a cached archive must never be re-fetched by the evaluator"
assert len(_user_notifications(uid)) == 1
# --- web push delivery from a pass -------------------------------------------
def _add_push(uid, endpoint="https://push.example.com/ep"):
with db.sync_session_maker() as s:
s.add(PushSubscription(user_id=uid, endpoint=endpoint, p256dh="BKEY", auth="YXV0aA"))
s.commit()
def _push_count():
with db.sync_session_maker() as s:
return s.execute(select(func.count()).select_from(PushSubscription)).scalar_one()
def _cached_extreme(monkeypatch):
monkeypatch.setattr(climate, "load_cached_history", lambda cell: _history())
monkeypatch.setattr(climate, "get_recent_forecast",
lambda cell: _recent_extreme(datetime.date.today()))
def test_push_dispatched_on_new_notification(monkeypatch):
uid = _seed_single_subscription()
_add_push(uid, "https://push.example.com/ep-a")
_cached_extreme(monkeypatch)
calls = []
monkeypatch.setattr(push, "send", lambda info, payload: calls.append((info, payload)) or "ok")
notify.run_pass()
assert len(_user_notifications(uid)) == 1 # in-app row still created
assert len(calls) == 1 # and one push dispatched
info, payload = calls[0]
assert info["endpoint"] == "https://push.example.com/ep-a"
assert payload["title"] and payload["body"]
today = datetime.date.today().isoformat()
assert payload["url"] == f"/thermograph/day#lat=1.00000&lon=2.00000&date={today}"
def test_push_gone_endpoint_is_pruned(monkeypatch):
uid = _seed_single_subscription()
_add_push(uid, "https://push.example.com/ep-gone")
_cached_extreme(monkeypatch)
monkeypatch.setattr(push, "send", lambda info, payload: "gone")
notify.run_pass()
assert len(_user_notifications(uid)) == 1 # notification still delivered in-app
assert _push_count() == 0 # the dead endpoint was pruned
def test_inapp_notification_survives_push_error(monkeypatch):
uid = _seed_single_subscription()
_add_push(uid, "https://push.example.com/ep-boom")
_cached_extreme(monkeypatch)
def _boom(info, payload):
raise RuntimeError("push service exploded")
monkeypatch.setattr(push, "send", _boom)
notify.run_pass() # must not raise
assert len(_user_notifications(uid)) == 1 # the in-app write is unaffected
assert _push_count() == 1 # a mere error doesn't prune