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feat: caches weather with redis & info tooltip (#358)
* feat: caches weather with redis & info tooltip * refactor: literally dropped by 50 lines
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,84 +1,124 @@ | ||
| import { TRPCError } from "@trpc/server"; | ||
| import fetch from "node-fetch"; | ||
| import { z } from "zod"; | ||
| import { createTRPCRouter, protectedProcedure } from "../trpc"; | ||
|
|
||
| type RawWeatherData = { | ||
| properties: { | ||
| timeseries: { | ||
| data: { | ||
| next_12_hours: { | ||
| summary: { | ||
| symbol_code: string; | ||
| }; | ||
| }; | ||
| instant: { | ||
| details: { | ||
| air_temperature: number; | ||
| }; | ||
| }; | ||
| }; | ||
| }[]; | ||
| const hours = z | ||
| .object({ | ||
| summary: z.object({ | ||
| symbol_code: z.string(), | ||
| }), | ||
| }) | ||
| .optional(); | ||
|
|
||
| const timeseriesSchema = z.array( | ||
| z.object({ | ||
| time: z.string(), | ||
| data: z.object({ | ||
| next_12_hours: hours, | ||
| next_6_hours: hours, | ||
| next_1_hours: hours, | ||
| instant: z.object({ | ||
| details: z.object({ | ||
| air_temperature: z.number(), | ||
| }), | ||
| }), | ||
| }), | ||
| }), | ||
| ); | ||
|
|
||
| const weatherDataSchema = z.object({ | ||
| temp_max: z.number(), | ||
| temp_min: z.number(), | ||
| summary: z.string().optional(), | ||
| }); | ||
|
|
||
| const input = z.object({ | ||
| latitude: z.number(), | ||
| longitude: z.number(), | ||
| }); | ||
|
|
||
| const getCurrentWeatherData = async ({ | ||
| latitude, | ||
| longitude, | ||
| }: z.infer<typeof input>) => { | ||
| const date = new Date().toISOString().slice(0, 10); | ||
| const response = await fetch( | ||
| `https://api.met.no/weatherapi/locationforecast/2.0/compact?lat=${latitude}&lon=${longitude}`, | ||
| { | ||
| headers: { | ||
| "User-Agent": `noodle.run (https://github.com/noodle-run/noodle)`, | ||
| }, | ||
| }, | ||
| ); | ||
|
|
||
| const data = (await response.json()) as { | ||
| properties: { timeseries: unknown }; | ||
| }; | ||
|
|
||
| const timeseries = timeseriesSchema | ||
| .parse(data.properties.timeseries as z.infer<typeof timeseriesSchema>) | ||
| .filter((one) => one.time.includes(date)); | ||
|
|
||
| const temperatures = timeseries.map( | ||
| (t) => t.data.instant.details.air_temperature, | ||
| ); | ||
|
|
||
| let summary; | ||
| if (timeseries[0]) { | ||
| const { next_12_hours, next_6_hours, next_1_hours } = timeseries[0].data; | ||
| const nextData = next_12_hours ?? next_6_hours ?? next_1_hours; | ||
| summary = nextData?.summary.symbol_code; | ||
| } | ||
|
|
||
| const weatherData = { | ||
| summary, | ||
| temp_max: Math.max(...temperatures), | ||
| temp_min: Math.min(...temperatures), | ||
| }; | ||
| }; | ||
|
|
||
| type WeatherData = { | ||
| temp_max: number; | ||
| temp_min: number; | ||
| summary: string; | ||
| return weatherDataSchema.parse(weatherData); | ||
| }; | ||
|
|
||
| export const weatherRouter = createTRPCRouter({ | ||
| getWeatherData: protectedProcedure | ||
| .input( | ||
| z.object({ | ||
| latitude: z.number(), | ||
| longitude: z.number(), | ||
| }), | ||
| ) | ||
| .query(async ({ input }) => { | ||
| const { latitude, longitude } = input; | ||
|
|
||
| const response = await fetch( | ||
| `https://api.met.no/weatherapi/locationforecast/2.0/compact?lat=${latitude}&lon=${longitude}`, | ||
| { | ||
| headers: { | ||
| "User-Agent": `noodle.run (https://github.com/noodle-run/noodle)`, | ||
| }, | ||
| }, | ||
| ); | ||
|
|
||
| if (!response.ok) { | ||
| throw new TRPCError({ | ||
| code: "INTERNAL_SERVER_ERROR", | ||
| message: "Failed to fetch weather data", | ||
| }); | ||
| } | ||
| .input(input) | ||
| .output(weatherDataSchema) | ||
| .query(async ({ input, ctx }) => { | ||
| const date = new Date().toISOString().slice(0, 10); | ||
| const cacheKey = `weather:${date}:${ctx.auth.userId}`; | ||
|
|
||
| const rawWeatherData: RawWeatherData = | ||
| (await response.json()) as RawWeatherData; | ||
| if (typeof ctx.redis !== "undefined" && typeof ctx.redis !== "string") { | ||
| try { | ||
| const cachedWeatherData = await ctx.redis.get(cacheKey); | ||
|
|
||
| if (rawWeatherData.properties.timeseries.length < 12) { | ||
| throw new TRPCError({ | ||
| code: "INTERNAL_SERVER_ERROR", | ||
| message: "Partial weather data", | ||
| }); | ||
| } | ||
| if (!cachedWeatherData) { | ||
| const weatherData = await getCurrentWeatherData(input); | ||
| const secondsUntilMidnight = Math.round( | ||
| (new Date().setHours(24, 0, 0, 0) - Date.now()) / 1000, | ||
| ); | ||
|
|
||
| const temperatures = []; | ||
| await ctx.redis.set(cacheKey, JSON.stringify(weatherData), { | ||
| ex: secondsUntilMidnight, | ||
| }); | ||
| return weatherData; | ||
| } | ||
|
|
||
| for (const timeseries of rawWeatherData.properties.timeseries) { | ||
| temperatures.push(timeseries.data.instant.details.air_temperature); | ||
| return weatherDataSchema.parse(cachedWeatherData); | ||
| } catch (error) { | ||
| throw new TRPCError({ | ||
| code: "INTERNAL_SERVER_ERROR", | ||
| message: "Failed to fetch cached weather data", | ||
| }); | ||
| } | ||
| } | ||
|
|
||
| const weatherData: WeatherData = { | ||
| summary: | ||
| rawWeatherData.properties.timeseries[0]!.data.next_12_hours.summary | ||
| .symbol_code, | ||
| temp_max: Math.max(...temperatures), | ||
| temp_min: Math.min(...temperatures), | ||
| }; | ||
|
|
||
| return weatherData; | ||
| try { | ||
| return getCurrentWeatherData(input); | ||
| } catch (error) { | ||
| throw new TRPCError({ | ||
| code: "INTERNAL_SERVER_ERROR", | ||
| message: "Failed to fetch weather data", | ||
| }); | ||
| } | ||
| }), | ||
| }); |
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