Refactored the derived_daily_summary module to utilize narrative forecast data where available
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@@ -64,7 +64,7 @@ func CompareDaily(previous module.Snapshot, current module.Snapshot, thresholds
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var changes []Change
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changes = append(changes, compareTemperatureValues("Low", previousSummary.LowTempF, currentSummary.LowTempF, thresholds.TemperatureDegrees)...)
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changes = append(changes, compareTemperatureValues("High", previousSummary.HighTempF, currentSummary.HighTempF, thresholds.TemperatureDegrees)...)
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changes = append(changes, comparePrecipitationValues(previousSummary.MaxPopPercent, currentSummary.MaxPopPercent, thresholds.PrecipProbabilityPoints, "")...)
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changes = append(changes, comparePrecipitationValues(previousSummary.DailyPrecipitationProbability, currentSummary.DailyPrecipitationProbability, thresholds.PrecipProbabilityPoints, "")...)
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if previousHasTiming && currentHasTiming {
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changes = append(changes, comparePrecipTiming(previousTiming.MaxPopTime, currentTiming.MaxPopTime, thresholds.PrecipTimingShiftMinutes, "")...)
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}
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@@ -76,11 +76,11 @@ func CompareDaily(previous module.Snapshot, current module.Snapshot, thresholds
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}
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type dailySummaryStanza struct {
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Date string `json:"date,omitempty"`
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HighTempF *int `json:"high_temp_f,omitempty"`
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LowTempF *int `json:"low_temp_f,omitempty"`
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MaxPopPercent *int `json:"max_pop_percent,omitempty"`
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MaxWindGustMph *int `json:"max_wind_gust_mph,omitempty"`
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Date string `json:"date,omitempty"`
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HighTempF *int `json:"high_temp_f,omitempty"`
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LowTempF *int `json:"low_temp_f,omitempty"`
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DailyPrecipitationProbability *int `json:"daily_precipitation_probability,omitempty"`
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MaxWindGustMph *int `json:"max_wind_gust_mph,omitempty"`
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}
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type daypartSummaryStanza struct {
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