perf: 120s TTL cache with single-flight on /api/hii/*/latest
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These endpoints ran an uncached latest-per-station aggregation on every request (p50 0.6-0.9s under load, ~30% of the traffic mix) for data the collector refreshes hourly. Responses are now cached per (feed, hours) for HII_CACHE_TTL_SECONDS (default 120) with a per-feed compute lock so a cache miss runs one query regardless of concurrency; empty results are never cached so recovery is immediate. Cached hits measure ~8ms. Cache is process-local behind a single helper — the seam where a shared backend (Redis) would slot in if the deployment ever moves to multiple workers; not warranted at one.
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@@ -86,6 +86,8 @@ class Config:
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"yes",
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)
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HII_BASIN_CODE = int(os.getenv("HII_BASIN_CODE", "6")) # 6 = Ping Basin
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# TTL for the /api/hii/*/latest response cache; source data changes hourly
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HII_CACHE_TTL_SECONDS = int(os.getenv("HII_CACHE_TTL_SECONDS", "120"))
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# Umami analytics (self-hosted). The website id is public (it ships in the
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# dashboard <script> tag); server-side API tracking posts to /api/send.
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+33
-4
@@ -641,6 +641,37 @@ def _hii_rows(sql: str, params: Dict[str, Any]) -> List[Dict[str, Any]]:
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return rows
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# Short-TTL cache for the HII feeds: the collector writes hourly, but these
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# endpoints carried ~30% of the load-test mix at 0.6-0.9 s per uncached query.
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# Process-local by design (single-worker deployment); the helper is the seam
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# where a shared backend (e.g. Redis) would slot in if we ever run multiple
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# workers. Thread-based single-flight keeps it event-loop-agnostic.
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HII_CACHE: Dict[str, Any] = {}
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HII_CACHE_LOCK = Lock()
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_HII_COMPUTE_LOCKS = {"rain": Lock(), "waterlevel": Lock()}
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def _hii_cached(feed: str, hours: int, sql: str) -> List[Dict[str, Any]]:
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key = f"{feed}:{hours}"
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ttl = Config.HII_CACHE_TTL_SECONDS
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now = time.monotonic()
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with HII_CACHE_LOCK:
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cached = HII_CACHE.get(key)
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if cached and now - cached[0] < ttl:
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return cached[1]
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with _HII_COMPUTE_LOCKS[feed]: # single-flight per feed
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with HII_CACHE_LOCK:
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cached = HII_CACHE.get(key)
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if cached and time.monotonic() - cached[0] < ttl:
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return cached[1]
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cutoff = datetime.now() - timedelta(hours=hours)
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rows = _hii_rows(sql, {"cutoff": cutoff})
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if rows: # never cache empty: recover immediately once data appears
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with HII_CACHE_LOCK:
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HII_CACHE[key] = (time.monotonic(), rows)
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return rows
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@app.get("/api/hii/rainfall/latest")
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async def get_hii_rainfall_latest(hours: int = Query(26, ge=1, le=168)):
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"""Latest rainfall reading per HII station (Ping basin, collected hourly)."""
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@@ -656,8 +687,7 @@ async def get_hii_rainfall_latest(hours: int = Query(26, ge=1, le=168)):
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GROUP BY station_id) latest
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ON latest.station_id = m.station_id AND latest.latest_ts = m.timestamp
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"""
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cutoff = datetime.now() - timedelta(hours=hours)
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return await asyncio.to_thread(_hii_rows, sql, {"cutoff": cutoff})
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return await asyncio.to_thread(_hii_cached, "rain", hours, sql)
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@app.get("/api/hii/waterlevel/latest")
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@@ -677,8 +707,7 @@ async def get_hii_waterlevel_latest(hours: int = Query(26, ge=1, le=168)):
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GROUP BY station_id) latest
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ON latest.station_id = m.station_id AND latest.latest_ts = m.timestamp
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"""
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cutoff = datetime.now() - timedelta(hours=hours)
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return await asyncio.to_thread(_hii_rows, sql, {"cutoff": cutoff})
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return await asyncio.to_thread(_hii_cached, "waterlevel", hours, sql)
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@app.get("/measurements/history/{station_code}")
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@@ -295,6 +295,7 @@ class TestHiiApiEndpoints:
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assert collector.store.save_rain(rain) == 1
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assert collector.store.save_waterlevel(wl) == 2
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monkeypatch.setitem(web_api.app_state, "hii_collector", collector)
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web_api.HII_CACHE.clear() # response cache would leak across tests
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return web_api
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def test_rainfall_latest(self, web_api):
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@@ -323,9 +324,43 @@ class TestHiiApiEndpoints:
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from src import web_api
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monkeypatch.setitem(web_api.app_state, "hii_collector", None)
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web_api.HII_CACHE.clear()
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assert asyncio.run(web_api.get_hii_rainfall_latest(hours=26)) == []
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assert asyncio.run(web_api.get_hii_waterlevel_latest(hours=26)) == []
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def test_latest_responses_are_cached(self, web_api, monkeypatch):
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import asyncio
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calls = {"n": 0}
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real = web_api._hii_rows
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def counting(sql, params):
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calls["n"] += 1
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return real(sql, params)
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monkeypatch.setattr(web_api, "_hii_rows", counting)
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first = asyncio.run(web_api.get_hii_rainfall_latest(hours=26))
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second = asyncio.run(web_api.get_hii_rainfall_latest(hours=26))
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assert first == second and len(first) == 1
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assert calls["n"] == 1 # second call served from the TTL cache
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# different hours -> different cache key -> fresh query
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asyncio.run(web_api.get_hii_rainfall_latest(hours=48))
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assert calls["n"] == 2
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def test_empty_results_are_not_cached(self, tmp_path, monkeypatch):
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import asyncio
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from src import web_api
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from src.hii_collector import HiiCollector
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collector = HiiCollector(
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{"type": "sqlite", "connection_string": f"sqlite:///{tmp_path}/empty.db"}
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)
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monkeypatch.setitem(web_api.app_state, "hii_collector", collector)
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web_api.HII_CACHE.clear()
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assert asyncio.run(web_api.get_hii_rainfall_latest(hours=26)) == []
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assert web_api.HII_CACHE == {} # empty response left uncached
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class TestBackfillHelpers:
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def test_chunk_date_range(self):
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