fix(dispatch): bucket failures by geo cell while the backend omits zone_id
Every booking.assignment_failed observed in production carries no zone_id, so the per-zone failure counter and the once-a-day alert limit collapsed into a single global "unknown" bucket — one alert per day for the whole country. zone_key() prefers the backend's zone_id and falls back to a coarse lat/lon grid cell (1 dp, ~11 km, DISPATCH_GEO_BUCKET_DP). The failure reason is now logged too. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_012AJLYcbTHCe45fyFnMfEin
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@@ -47,6 +47,27 @@ MILER_UNAVAILABLE_STATUSES = {"break", "offline", "busy", "onbreak", "off_duty",
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AVAILABLE, UNAVAILABLE, UNKNOWN = "available", "unavailable", "unknown"
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# The Go backend does not yet send zone_id on booking.assignment_failed (every
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# event observed carries none). Without a fallback, every failure in the country
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# shares the single "unknown" bucket, so the per-zone counter and the once-a-day
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# alert limit would collapse into one global bucket. Derive a coarse grid cell
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# from the pickup coordinates instead: 1 decimal place is ~11 km, about the size
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# of a delivery zone. Real zone_ids, once sent, take precedence.
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GEO_BUCKET_DP = int(os.getenv("DISPATCH_GEO_BUCKET_DP", "1"))
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def zone_key(zone_id, lat, lon) -> str:
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"""Stable bucket for counting failures: the backend's zone_id when present,
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else a coarse lat/lon grid cell, else 'unknown'."""
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if zone_id and str(zone_id).lower() not in ("", "unknown", "none", "null"):
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return str(zone_id)
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if lat is not None and lon is not None:
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try:
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return f"geo:{round(float(lat), GEO_BUCKET_DP)},{round(float(lon), GEO_BUCKET_DP)}"
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except (TypeError, ValueError):
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pass
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return "unknown"
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class DispatchAgent(SpecializedAgent):
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"""
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@@ -274,11 +295,15 @@ class DispatchAgent(SpecializedAgent):
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try:
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data = json.loads(msg.data.decode())
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booking_id = data.get("booking_id")
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zone_id = data.get("zone_id", "unknown")
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lat = data.get("lat")
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lon = data.get("lon")
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# Falls back to a coarse geo cell while the backend omits zone_id.
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zone_id = zone_key(data.get("zone_id"), lat, lon)
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logger.warning(f"[DISPATCH] booking.assignment_failed — booking={booking_id} zone={zone_id}")
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logger.warning(
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f"[DISPATCH] booking.assignment_failed — booking={booking_id} zone={zone_id} "
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f"reason={data.get('reason')!r}"
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)
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facts, count = await self._gather_assignment_facts(zone_id, lat, lon)
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logger.info(f"[DISPATCH] booking={booking_id} context facts: {facts}")
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@@ -288,6 +288,29 @@ class TestRateLimitAndSinks(unittest.IsolatedAsyncioTestCase):
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self.assertEqual(payload["proposed_action"], "escalate")
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class TestZoneKey(unittest.IsolatedAsyncioTestCase):
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"""The backend sends no zone_id today; without a fallback every failure in
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the country shares one bucket and the daily alert limit becomes global."""
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async def test_real_zone_id_wins(self):
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from agents.dispatch_agent import zone_key
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self.assertEqual(zone_key("hyderabad", 17.4, 78.4), "hyderabad")
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async def test_missing_zone_falls_back_to_geo_cell(self):
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from agents.dispatch_agent import zone_key
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self.assertEqual(zone_key(None, 11.0182714, 76.9677744), "geo:11.0,77.0")
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self.assertEqual(zone_key("unknown", 11.0182714, 76.9677744), "geo:11.0,77.0")
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async def test_distant_pickups_get_different_buckets(self):
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from agents.dispatch_agent import zone_key
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self.assertNotEqual(zone_key(None, 11.01, 76.96), zone_key(None, 17.44, 78.39))
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async def test_no_zone_and_no_coords_is_unknown(self):
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from agents.dispatch_agent import zone_key
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self.assertEqual(zone_key(None, None, None), "unknown")
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self.assertEqual(zone_key("unknown", "bad", "coords"), "unknown")
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class TestBindConsumer(unittest.IsolatedAsyncioTestCase):
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async def test_binds_to_discovered_stream_without_creating(self):
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js = FakeJS(stream_name="TRACKING")
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