wesandClaude Opus 4.8
5c09528df7
Backfills knoebels."LZ_open_meteo_hourly" from 2024-05-15 (start of queue
collection) and keeps it current. Imperial units; timestamps stored as naive
America/New_York to line up with the rest of the knoebels schema.
- weather_logger.py: --backfill uses the ERA5 Archive API; default mode does a
self-healing recent sync via the Forecast API (past_days=7, upsert on conflict)
- docker-compose.yml: add `weather` oneshot service (also align scraper to its
live `oneshot` profile)
- systemd/knb-weather.{service,timer}: nox user timer, every 6h (linger enabled)
- queries/dm_knb_queue_weather.sql: dm_knb_queue_weather view joining the full
queue-time series to hourly weather (hour-bucketed), with a WMO code decode
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
62 lines
3.0 KiB
SQL
62 lines
3.0 KiB
SQL
-- Full queue-time time series joined to hourly Open-Meteo weather.
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-- Queue readings (sub-hour, every ~5 min) are bucketed to the hour and matched
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-- to knoebels."LZ_open_meteo_hourly". Both sides are naive America/New_York, so
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-- the hour buckets line up directly with no timezone math. LEFT JOIN keeps every
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-- queue row even if an hour's weather is missing (e.g. the once-a-year DST hour).
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SELECT a.time_stamp,
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a._id AS ride_id,
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TRIM(r.name) AS ride_name,
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TRIM(c."name") AS category,
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ROUND((r.minimum_height_requirement * 39.37)::numeric, 0) AS minimum_height_requirement_inches,
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ROUND((r.minimum_unaccompanied_height_requirement * 39.37)::numeric, 0) AS minimum_unaccompanied_height_requirement_inches,
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ROUND((r.maximum_height_requirement * 39.37)::numeric, 0) AS maximum_height_requirement_inches,
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r."location" AS coordinates,
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a.queue_time AS queue_time_sec,
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w.temperature_2m AS temperature_f,
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w.apparent_temperature AS feels_like_f,
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w.relative_humidity_2m AS humidity_pct,
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w.precipitation AS precipitation_in,
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w.rain AS rain_in,
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w.weather_code AS wmo_weather_code,
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CASE w.weather_code
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WHEN 0 THEN 'Clear sky'
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WHEN 1 THEN 'Mainly clear'
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WHEN 2 THEN 'Partly cloudy'
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WHEN 3 THEN 'Overcast'
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WHEN 45 THEN 'Fog'
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WHEN 48 THEN 'Depositing rime fog'
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WHEN 51 THEN 'Light drizzle'
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WHEN 53 THEN 'Moderate drizzle'
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WHEN 55 THEN 'Dense drizzle'
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WHEN 56 THEN 'Light freezing drizzle'
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WHEN 57 THEN 'Dense freezing drizzle'
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WHEN 61 THEN 'Slight rain'
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WHEN 63 THEN 'Moderate rain'
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WHEN 65 THEN 'Heavy rain'
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WHEN 66 THEN 'Light freezing rain'
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WHEN 67 THEN 'Heavy freezing rain'
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WHEN 71 THEN 'Slight snowfall'
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WHEN 73 THEN 'Moderate snowfall'
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WHEN 75 THEN 'Heavy snowfall'
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WHEN 77 THEN 'Snow grains'
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WHEN 80 THEN 'Slight rain showers'
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WHEN 81 THEN 'Moderate rain showers'
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WHEN 82 THEN 'Violent rain showers'
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WHEN 85 THEN 'Slight snow showers'
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WHEN 86 THEN 'Heavy snow showers'
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WHEN 95 THEN 'Thunderstorm'
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WHEN 96 THEN 'Thunderstorm with slight hail'
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WHEN 99 THEN 'Thunderstorm with heavy hail'
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END AS weather_description,
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w.cloud_cover AS cloud_cover_pct,
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w.wind_speed_10m AS wind_mph,
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w.wind_gusts_10m AS wind_gust_mph
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FROM knoebels."LZ_attractions_io" a
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JOIN knoebels."LZ_attractions_io_poi" r
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ON r._id = a._id
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JOIN knoebels."LZ_attractions_io_categories" c
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ON r.category = c._id
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LEFT JOIN knoebels."LZ_open_meteo_hourly" w
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ON w."time" = date_trunc('hour', a.time_stamp)
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WHERE a.queue_time IS NOT NULL;
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