add forecast data, feels like fields (leaking test)
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9 changed files with 272 additions and 5 deletions
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@ -79,8 +79,8 @@ curl "http://localhost:8002/London?lang=us&format=2&m"
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# Output: 51.5074,-0.1278: ☁️ 12°C 🌬️SW30km/h
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# Test from US IP (automatic detection)
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curl -H "X-Forwarded-For: 8.8.8.8" "http://localhost:8002/London?format=2"
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# Output: Uses imperial if 8.8.8.8 is detected as US IP
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curl -H "X-Forwarded-For: 1.1.1.1" "http://localhost:8002/London?format=2"
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# Output: Uses imperial as 1.1.1.1 is detected as US IP
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```
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## Documentation Updates
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@ -23,10 +23,10 @@ Router
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↓
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Request Handler
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↓
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Cache Check
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↓ (miss)
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Location Resolver
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↓
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Provider interface cache check
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↓ (miss)
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Weather Provider (interface)
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├─ MetNo (default)
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└─ Mock (tests)
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@ -153,6 +153,8 @@ test "render with imperial units" {
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.location = "Chicago",
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.current = .{
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.temp_c = 10.0,
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.feels_like_c = 10.0,
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.feels_like_f = 10.0 * 1.8 + 32,
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.temp_f = 50.0,
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.condition = "Clear",
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.weather_code = .clear,
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@ -179,6 +181,8 @@ test "clear weather art" {
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.location = "Test",
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.current = .{
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.temp_c = 20.0,
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.feels_like_c = 20.0,
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.feels_like_f = 20.0 * 1.8 + 32,
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.temp_f = 68.0,
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.condition = "Clear",
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.weather_code = .clear,
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@ -204,6 +208,8 @@ test "partly cloudy weather art" {
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.location = "Test",
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.current = .{
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.temp_c = 18.0,
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.feels_like_c = 18.0,
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.feels_like_f = 18.0 * 1.8 + 32,
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.temp_f = 64.0,
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.condition = "Partly cloudy",
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.weather_code = .clouds_few,
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@ -229,6 +235,8 @@ test "cloudy weather art" {
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.location = "Test",
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.current = .{
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.temp_c = 15.0,
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.feels_like_c = 15.0,
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.feels_like_f = 15.0 * 1.8 + 32,
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.temp_f = 59.0,
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.condition = "Cloudy",
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.weather_code = .clouds_overcast,
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@ -254,6 +262,8 @@ test "rain weather art" {
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.location = "Test",
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.current = .{
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.temp_c = 12.0,
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.feels_like_c = 12.0,
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.feels_like_f = 12.0 * 1.8 + 32,
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.temp_f = 54.0,
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.condition = "Rain",
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.weather_code = .rain_moderate,
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@ -278,6 +288,8 @@ test "thunderstorm weather art" {
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.location = "Test",
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.current = .{
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.temp_c = 14.0,
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.feels_like_c = 14.0,
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.feels_like_f = 14.0 * 1.8 + 32,
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.temp_f = 57.0,
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.condition = "Thunderstorm",
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.weather_code = .thunderstorm,
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@ -302,6 +314,8 @@ test "snow weather art" {
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.location = "Test",
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.current = .{
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.temp_c = -2.0,
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.feels_like_c = -2.0,
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.feels_like_f = -2.0 * 1.8 + 32,
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.temp_f = 28.0,
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.condition = "Snow",
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.weather_code = .snow,
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@ -326,6 +340,8 @@ test "sleet weather art" {
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.location = "Test",
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.current = .{
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.temp_c = 0.0,
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.feels_like_c = 0.0,
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.feels_like_f = 0.0 * 1.8 + 32,
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.temp_f = 32.0,
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.condition = "Sleet",
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.weather_code = .sleet,
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@ -350,6 +366,8 @@ test "fog weather art" {
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.location = "Test",
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.current = .{
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.temp_c = 8.0,
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.feels_like_c = 8.0,
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.feels_like_f = 8.0 * 1.8 + 32,
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.temp_f = 46.0,
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.condition = "Fog",
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.weather_code = .fog,
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@ -374,6 +392,8 @@ test "unknown weather code art" {
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.location = "Test",
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.current = .{
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.temp_c = 16.0,
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.feels_like_c = 16.0,
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.feels_like_f = 16.0 * 1.8 + 32,
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.temp_f = 61.0,
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.condition = "Unknown",
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.weather_code = .unknown,
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@ -401,6 +421,8 @@ test "temperature matches between ansi and custom format" {
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.location = "PDX",
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.current = .{
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.temp_c = 13.1,
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.feels_like_c = 13.1,
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.feels_like_f = 13.1 * 1.8 + 32,
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.temp_f = 55.6,
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.condition = "Clear",
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.weather_code = .clear,
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@ -82,6 +82,8 @@ test "render custom format with location and temp" {
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.location = "London",
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.current = .{
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.temp_c = 7.0,
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.feels_like_c = 7.0,
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.feels_like_f = 7.0 * 1.8 + 32,
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.temp_f = 44.6,
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.condition = "Overcast",
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.weather_code = .clouds_overcast,
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@ -109,6 +111,8 @@ test "render custom format with newline" {
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.location = "Paris",
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.current = .{
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.temp_c = 10.0,
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.feels_like_c = 10.0,
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.feels_like_f = 10.0 * 1.8 + 32,
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.temp_f = 50.0,
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.condition = "Clear",
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.weather_code = .clear,
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@ -135,6 +139,8 @@ test "render custom format with humidity and pressure" {
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.location = "Berlin",
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.current = .{
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.temp_c = 5.0,
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.feels_like_c = 5.0,
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.feels_like_f = 5.0 * 1.8 + 32,
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.temp_f = 41.0,
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.condition = "Cloudy",
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.weather_code = .clouds_overcast,
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@ -162,6 +168,8 @@ test "render custom format with imperial units" {
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.location = "NYC",
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.current = .{
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.temp_c = 10.0,
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.feels_like_c = 10.0,
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.feels_like_f = 10.0 * 1.8 + 32,
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.temp_f = 50.0,
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.condition = "Clear",
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.weather_code = .clear,
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@ -27,6 +27,8 @@ test "render json format" {
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.location = "London",
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.current = .{
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.temp_c = 15.0,
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.feels_like_c = 15.0,
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.feels_like_f = 15.0 * 1.8 + 32,
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.temp_f = 59.0,
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.condition = "Partly cloudy",
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.weather_code = .clouds_few,
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@ -122,6 +122,8 @@ test "format 1" {
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.location = "London",
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.current = .{
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.temp_c = 15.0,
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.feels_like_c = 15.0,
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.feels_like_f = 15.0 * 1.8 + 32,
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.temp_f = 59.0,
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.condition = "Clear",
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.weather_code = .clear,
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.location = "London",
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.current = .{
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.temp_c = 15.0,
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.feels_like_c = 15.0,
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.feels_like_f = 15.0 * 1.8 + 32,
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.temp_f = 59.0,
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.condition = "Clear",
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.weather_code = .clear,
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@ -170,6 +174,8 @@ test "format 2 with imperial units" {
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.location = "Portland",
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.current = .{
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.temp_c = 10.0,
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.feels_like_c = 10.0,
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.feels_like_f = 10.0 * 1.8 + 32,
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.temp_f = 50.0,
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.condition = "Cloudy",
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.weather_code = .clouds_overcast,
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.location = "Munich",
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.current = .{
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.temp_c = 12.0,
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.feels_like_c = 12.0,
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.feels_like_f = 12.0 * 1.8 + 32,
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.temp_f = 53.6,
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.condition = "Overcast",
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.weather_code = .clouds_overcast,
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@ -103,6 +105,8 @@ test "render v2 format with imperial units" {
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.location = "Boston",
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.current = .{
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.temp_c = 10.0,
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.feels_like_c = 10.0,
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.feels_like_f = 10.0 * 1.8 + 32,
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.temp_f = 50.0,
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.condition = "Clear",
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.weather_code = .clear,
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@ -178,11 +178,18 @@ fn parseMetNoResponse(allocator: std.mem.Allocator, coords: Coordinates, json: s
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else
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"N";
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// Parse forecast days from timeseries
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const forecast = try parseForecastDays(allocator, timeseries.array.items);
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const feels_like_c = temp_c; // TODO: Calculate wind chill
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return types.WeatherData{
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.location = try std.fmt.allocPrint(allocator, "{d:.4},{d:.4}", .{ coords.latitude, coords.longitude }),
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.current = .{
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.temp_c = temp_c,
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.temp_f = temp_c * 9.0 / 5.0 + 32.0,
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.feels_like_c = feels_like_c,
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.feels_like_f = feels_like_c * 9.0 / 5.0 + 32.0,
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.condition = try allocator.dupe(u8, symbolCodeToCondition(symbol_code)),
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.weather_code = symbolCodeToWeatherCode(symbol_code),
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.humidity = humidity,
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@ -191,11 +198,174 @@ fn parseMetNoResponse(allocator: std.mem.Allocator, coords: Coordinates, json: s
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.pressure_mb = pressure_mb,
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.precip_mm = 0.0,
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},
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.forecast = &.{},
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.forecast = forecast,
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.allocator = allocator,
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};
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}
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fn clearHourlyForecast(allocator: std.mem.Allocator, forecast: *std.ArrayList(types.HourlyForecast)) void {
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for (forecast.items) |h| {
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allocator.free(h.time);
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allocator.free(h.condition);
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}
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forecast.clearRetainingCapacity();
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}
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fn parseForecastDays(allocator: std.mem.Allocator, timeseries: []std.json.Value) ![]types.ForecastDay {
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var days: std.ArrayList(types.ForecastDay) = .empty;
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errdefer days.deinit(allocator);
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var current_date: ?[]const u8 = null;
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var day_temps: std.ArrayList(f32) = .empty;
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defer day_temps.deinit(allocator);
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var day_hourly: std.ArrayList(types.HourlyForecast) = .empty;
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var day_all_hours: std.ArrayList(types.HourlyForecast) = .empty;
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defer day_all_hours.deinit(allocator);
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var day_symbol: ?[]const u8 = null;
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for (timeseries) |entry| {
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const time_str = entry.object.get("time").?.string;
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const date = time_str[0..10];
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const hour = time_str[11..13];
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const data = entry.object.get("data") orelse continue;
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const instant = data.object.get("instant") orelse continue;
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const details_obj = instant.object.get("details") orelse continue;
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const temp: f32 = @floatCast(details_obj.object.get("air_temperature").?.float);
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const wind_ms = details_obj.object.get("wind_speed") orelse continue;
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const wind_kph: f32 = @floatCast(wind_ms.float * 3.6);
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if (current_date == null or !std.mem.eql(u8, current_date.?, date)) {
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// Save previous day if exists
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if (current_date != null and day_temps.items.len > 0) {
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var max_temp: f32 = day_temps.items[0];
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var min_temp: f32 = day_temps.items[0];
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for (day_temps.items) |t| {
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if (t > max_temp) max_temp = t;
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if (t < min_temp) min_temp = t;
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}
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const symbol = day_symbol orelse "clearsky_day";
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// Use preferred times if we have 4, otherwise pick 4 evenly spaced from all hours
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const hourly_slice: []types.HourlyForecast = blk: {
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if (day_hourly.items.len >= 4) {
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const hrs = try day_hourly.toOwnedSlice(allocator);
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clearHourlyForecast(allocator, &day_all_hours);
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break :blk hrs;
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}
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clearHourlyForecast(allocator, &day_all_hours);
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if (day_all_hours.items.len < 4)
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break :blk try day_all_hours.toOwnedSlice(allocator);
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// Pick 4 evenly spaced entries from day_all_hours
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if (day_all_hours.items.len >= 4) {
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const step = day_all_hours.items.len / 4;
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var selected: std.ArrayList(types.HourlyForecast) = .empty;
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try selected.append(allocator, day_all_hours.items[0]);
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try selected.append(allocator, day_all_hours.items[step]);
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try selected.append(allocator, day_all_hours.items[step * 2]);
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try selected.append(allocator, day_all_hours.items[step * 3]);
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const hrs = try selected.toOwnedSlice(allocator);
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// Free the rest
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for (day_all_hours.items, 0..) |h, i| {
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if (i != 0 and i != step and i != step * 2 and i != step * 3) {
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allocator.free(h.time);
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allocator.free(h.condition);
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}
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}
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day_all_hours.clearRetainingCapacity();
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break :blk hrs;
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}
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break :blk try day_all_hours.toOwnedSlice(allocator);
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};
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try days.append(allocator, .{
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.date = try allocator.dupe(u8, current_date.?),
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.max_temp_c = max_temp,
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.min_temp_c = min_temp,
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.condition = try allocator.dupe(u8, symbolCodeToCondition(symbol)),
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.weather_code = symbolCodeToWeatherCode(symbol),
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.hourly = hourly_slice,
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});
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if (days.items.len >= 3) break;
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}
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// Start new day
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current_date = date;
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day_temps.clearRetainingCapacity();
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day_all_hours.clearRetainingCapacity();
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day_symbol = null;
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}
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try day_temps.append(allocator, temp);
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// Collect ALL hourly forecasts
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const next_1h = data.object.get("next_1_hours");
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if (next_1h) |n1h| {
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const symbol_code = n1h.object.get("summary").?.object.get("symbol_code").?.string;
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const precip = if (n1h.object.get("details")) |det| blk: {
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if (det.object.get("precipitation_amount")) |p| {
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break :blk @as(f32, @floatCast(p.float));
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}
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break :blk @as(f32, 0.0);
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} else 0.0;
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try day_all_hours.append(allocator, .{
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.time = try allocator.dupe(u8, time_str[11..16]),
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.temp_c = temp,
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.feels_like_c = temp,
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.condition = try allocator.dupe(u8, symbolCodeToCondition(symbol_code)),
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.weather_code = symbolCodeToWeatherCode(symbol_code),
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.wind_kph = wind_kph,
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.precip_mm = precip,
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});
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}
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// Collect preferred hourly forecasts for 06:00, 12:00, 18:00, 00:00
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if (std.mem.eql(u8, hour, "06") or std.mem.eql(u8, hour, "12") or
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std.mem.eql(u8, hour, "18") or std.mem.eql(u8, hour, "00")) {
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if (next_1h) |n1h| {
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const symbol_code = n1h.object.get("summary").?.object.get("symbol_code").?.string;
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const precip = if (n1h.object.get("details")) |det| blk: {
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if (det.object.get("precipitation_amount")) |p| {
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break :blk @as(f32, @floatCast(p.float));
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}
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break :blk @as(f32, 0.0);
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} else 0.0;
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try day_hourly.append(allocator, .{
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.time = try allocator.dupe(u8, time_str[11..16]),
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.temp_c = temp,
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.feels_like_c = temp,
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.condition = try allocator.dupe(u8, symbolCodeToCondition(symbol_code)),
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.weather_code = symbolCodeToWeatherCode(symbol_code),
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.wind_kph = wind_kph,
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.precip_mm = precip,
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});
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}
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}
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// Get symbol for the day
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if (day_symbol == null) {
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const next_6h = data.object.get("next_6_hours");
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if (next_6h) |n6h| {
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if (n6h.object.get("summary")) |summary| {
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day_symbol = summary.object.get("symbol_code").?.string;
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}
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}
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}
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}
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// Don't forget to deinit day_hourly if we didn't transfer ownership
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day_hourly.deinit(allocator);
|
||||
|
||||
return days.toOwnedSlice(allocator);
|
||||
}
|
||||
|
||||
fn symbolCodeToWeatherCode(symbol: []const u8) types.WeatherCode {
|
||||
var it = std.mem.splitScalar(u8, symbol, '_');
|
||||
const metno_weather_code = it.next().?;
|
||||
|
|
@ -244,3 +414,55 @@ test "symbolCodeToWeatherCode" {
|
|||
try std.testing.expectEqual(types.WeatherCode.rain_light, symbolCodeToWeatherCode("lightrain"));
|
||||
try std.testing.expectEqual(types.WeatherCode.snow, symbolCodeToWeatherCode("snow"));
|
||||
}
|
||||
|
||||
test "parseForecastDays extracts 3 days" {
|
||||
const allocator = std.testing.allocator;
|
||||
|
||||
const json_str =
|
||||
\\{"properties":{"timeseries":[
|
||||
\\ {"time":"2025-12-20T00:00:00Z","data":{"instant":{"details":{"air_temperature":10.0,"wind_speed":5.0}},"next_6_hours":{"summary":{"symbol_code":"clearsky_day"}}}},
|
||||
\\ {"time":"2025-12-20T06:00:00Z","data":{"instant":{"details":{"air_temperature":15.0,"wind_speed":6.0}},"next_1_hours":{"summary":{"symbol_code":"clearsky_day"}}}},
|
||||
\\ {"time":"2025-12-20T12:00:00Z","data":{"instant":{"details":{"air_temperature":20.0,"wind_speed":7.0}},"next_1_hours":{"summary":{"symbol_code":"clearsky_day"}}}},
|
||||
\\ {"time":"2025-12-20T18:00:00Z","data":{"instant":{"details":{"air_temperature":12.0,"wind_speed":5.0}},"next_1_hours":{"summary":{"symbol_code":"clearsky_day"}}}},
|
||||
\\ {"time":"2025-12-21T00:00:00Z","data":{"instant":{"details":{"air_temperature":8.0,"wind_speed":8.0}},"next_6_hours":{"summary":{"symbol_code":"rain"}},"next_1_hours":{"summary":{"symbol_code":"rain"}}}},
|
||||
\\ {"time":"2025-12-21T12:00:00Z","data":{"instant":{"details":{"air_temperature":14.0,"wind_speed":10.0}},"next_1_hours":{"summary":{"symbol_code":"rain"}}}},
|
||||
\\ {"time":"2025-12-22T00:00:00Z","data":{"instant":{"details":{"air_temperature":5.0,"wind_speed":4.0}},"next_6_hours":{"summary":{"symbol_code":"snow"}},"next_1_hours":{"summary":{"symbol_code":"snow"}}}},
|
||||
\\ {"time":"2025-12-22T12:00:00Z","data":{"instant":{"details":{"air_temperature":7.0,"wind_speed":3.0}},"next_1_hours":{"summary":{"symbol_code":"snow"}}}},
|
||||
\\ {"time":"2025-12-23T00:00:00Z","data":{"instant":{"details":{"air_temperature":6.0,"wind_speed":2.0}}}}
|
||||
\\]}}
|
||||
;
|
||||
|
||||
const parsed = try std.json.parseFromSlice(std.json.Value, allocator, json_str, .{});
|
||||
defer parsed.deinit();
|
||||
|
||||
const properties = parsed.value.object.get("properties").?;
|
||||
const timeseries = properties.object.get("timeseries").?;
|
||||
|
||||
const forecast = try parseForecastDays(allocator, timeseries.array.items);
|
||||
defer {
|
||||
for (forecast) |day| {
|
||||
allocator.free(day.date);
|
||||
allocator.free(day.condition);
|
||||
for (day.hourly) |hour| {
|
||||
allocator.free(hour.time);
|
||||
allocator.free(hour.condition);
|
||||
}
|
||||
allocator.free(day.hourly);
|
||||
}
|
||||
allocator.free(forecast);
|
||||
}
|
||||
|
||||
try std.testing.expectEqual(@as(usize, 3), forecast.len);
|
||||
try std.testing.expectEqualStrings("2025-12-20", forecast[0].date);
|
||||
try std.testing.expectEqual(@as(f32, 20.0), forecast[0].max_temp_c);
|
||||
try std.testing.expectEqual(@as(f32, 10.0), forecast[0].min_temp_c);
|
||||
try std.testing.expectEqual(types.WeatherCode.clear, forecast[0].weather_code);
|
||||
}
|
||||
|
||||
test "parseForecastDays handles empty timeseries" {
|
||||
const allocator = std.testing.allocator;
|
||||
const empty: []std.json.Value = &.{};
|
||||
const forecast = try parseForecastDays(allocator, empty);
|
||||
defer allocator.free(forecast);
|
||||
try std.testing.expectEqual(@as(usize, 0), forecast.len);
|
||||
}
|
||||
|
|
|
|||
|
|
@ -105,6 +105,8 @@ pub const WeatherData = struct {
|
|||
pub const CurrentCondition = struct {
|
||||
temp_c: f32,
|
||||
temp_f: f32,
|
||||
feels_like_c: f32,
|
||||
feels_like_f: f32,
|
||||
condition: []const u8,
|
||||
weather_code: WeatherCode,
|
||||
humidity: u8,
|
||||
|
|
@ -126,6 +128,7 @@ pub const ForecastDay = struct {
|
|||
pub const HourlyForecast = struct {
|
||||
time: []const u8,
|
||||
temp_c: f32,
|
||||
feels_like_c: f32,
|
||||
condition: []const u8,
|
||||
weather_code: WeatherCode,
|
||||
wind_kph: f32,
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue