feat: implement SSE-based real-time event distribution system with replay support and heartbeat functionality
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"""Versioned realtime observation patch normalization."""
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from __future__ import annotations
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import time
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from typing import Any, Dict, Iterable, List, Optional
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SCHEMA_TYPE = "city_observation_patch"
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SCHEMA_VERSION = 1
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EVENT_TYPE = "city_observation_patch.v1"
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class PatchValidationError(ValueError):
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"""Raised when a collector patch cannot become a replayable observation event."""
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def _normalize_city(value: Any) -> str:
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return str(value or "").strip().lower()
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def _normalize_source(value: Any) -> str:
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source = str(value or "").strip().lower()
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return source or "weather"
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def _finite_number(value: Any) -> Optional[float]:
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try:
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number = float(value)
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except (TypeError, ValueError):
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return None
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if number != number or number in {float("inf"), float("-inf")}:
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return None
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return round(number, 2)
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def _first_number(*values: Any) -> Optional[float]:
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for value in values:
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number = _finite_number(value)
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if number is not None:
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return number
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return None
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def _iter_runway_points(raw_points: Any) -> Iterable[Dict[str, Any]]:
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if isinstance(raw_points, list):
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for item in raw_points:
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if isinstance(item, dict):
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yield item
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def _normalize_runway_points(raw_points: Any) -> List[Dict[str, Any]]:
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points: List[Dict[str, Any]] = []
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for raw in _iter_runway_points(raw_points):
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runway = str(raw.get("runway") or raw.get("rwy") or "").strip().upper()
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temp = _first_number(
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raw.get("temp"),
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raw.get("target_runway_max"),
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raw.get("tdz_temp"),
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raw.get("mid_temp"),
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raw.get("end_temp"),
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)
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if not runway and temp is None:
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continue
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point: Dict[str, Any] = {}
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if runway:
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point["runway"] = runway
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if temp is not None:
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point["temp"] = temp
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for key in ("tdz_temp", "mid_temp", "end_temp", "target_runway_max"):
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value = _finite_number(raw.get(key))
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if value is not None:
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point[key] = value
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if isinstance(raw.get("is_settlement"), bool):
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point["is_settlement"] = raw["is_settlement"]
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if point:
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points.append(point)
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return points
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def _legacy_changes(patch: Dict[str, Any]) -> Dict[str, Any]:
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changes = patch.get("changes")
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return changes if isinstance(changes, dict) else {}
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def _payload_from_legacy(changes: Dict[str, Any]) -> Dict[str, Any]:
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amos = changes.get("amos") if isinstance(changes.get("amos"), dict) else {}
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runway_obs = amos.get("runway_obs") if isinstance(amos.get("runway_obs"), dict) else {}
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payload: Dict[str, Any] = {}
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temp = _finite_number(changes.get("temp"))
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if temp is not None:
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payload["temp"] = temp
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max_so_far = _first_number(changes.get("max_so_far"), changes.get("current_max_so_far"))
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if max_so_far is not None:
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payload["max_so_far"] = max_so_far
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station_code = str(
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changes.get("station_code")
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or changes.get("icao")
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or amos.get("icao")
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or ""
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).strip().upper()
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if station_code:
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payload["station_code"] = station_code
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station_label = str(
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changes.get("station_label")
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or amos.get("station_label")
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or amos.get("station_name")
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or ""
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).strip()
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if station_label:
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payload["station_label"] = station_label
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series_key = str(changes.get("series_key") or "").strip()
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if series_key:
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payload["series_key"] = series_key
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payload["unit"] = str(changes.get("unit") or "celsius").strip().lower() or "celsius"
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raw_runway_points = changes.get("runway_points")
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if raw_runway_points is None:
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raw_runway_points = runway_obs.get("point_temperatures")
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runway_points = _normalize_runway_points(raw_runway_points)
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if runway_points:
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payload["runway_points"] = runway_points
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hourly = changes.get("hourly")
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if isinstance(hourly, dict):
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payload["hourly"] = hourly
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return payload
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def _payload_from_v1(raw_payload: Any) -> Dict[str, Any]:
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if not isinstance(raw_payload, dict):
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return {}
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payload: Dict[str, Any] = {}
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temp = _finite_number(raw_payload.get("temp"))
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if temp is not None:
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payload["temp"] = temp
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max_so_far = _finite_number(raw_payload.get("max_so_far"))
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if max_so_far is not None:
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payload["max_so_far"] = max_so_far
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for key in ("station_code", "station_label", "series_key", "unit"):
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value = raw_payload.get(key)
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if isinstance(value, str) and value.strip():
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payload[key] = value.strip()
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if "unit" not in payload:
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payload["unit"] = "celsius"
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runway_points = _normalize_runway_points(raw_payload.get("runway_points"))
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if runway_points:
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payload["runway_points"] = runway_points
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if isinstance(raw_payload.get("hourly"), dict):
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payload["hourly"] = raw_payload["hourly"]
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return payload
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def _has_observation(payload: Dict[str, Any]) -> bool:
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return any(
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key in payload
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for key in ("temp", "max_so_far", "runway_points", "hourly")
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)
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def normalize_observation_patch(patch: Dict[str, Any]) -> Dict[str, Any]:
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if not isinstance(patch, dict):
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raise PatchValidationError("patch must be an object")
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if patch.get("type") == EVENT_TYPE:
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city = _normalize_city(patch.get("city"))
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source = _normalize_source(patch.get("source"))
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obs_time = str(patch.get("obs_time") or "").strip() or None
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payload = _payload_from_v1(patch.get("payload"))
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else:
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changes = _legacy_changes(patch)
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city = _normalize_city(patch.get("city"))
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source = _normalize_source(changes.get("source") or patch.get("source"))
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obs_time = str(changes.get("obs_time") or patch.get("obs_time") or "").strip() or None
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payload = _payload_from_legacy(changes)
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if not city:
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raise PatchValidationError("city is required")
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if not _has_observation(payload):
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raise PatchValidationError("patch must include temperature, max, runway, or hourly data")
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return {
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"type": EVENT_TYPE,
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"schema_type": SCHEMA_TYPE,
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"schema_version": SCHEMA_VERSION,
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"city": city,
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"source": source,
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"obs_time": obs_time,
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"ts": int(time.time() * 1000),
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"payload": payload,
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}
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