examples.graphql

# Find data points where temp (2m temp) is >= 90 deg F (32.2 deg C)
Root {
    location_id @filter(op: "=", value: "CNTR03")
    Datapoints(interval_value: 2, interval_unit: "minute") {
        # filters
        temperature_fahrenheit @filter(op: ">=", value: 90)

        # outputs
        time @output
    }
}

# Find data points where wind speed (2m and/or 10m) is > 10mph (4.47 m/s)
Root {
    location_id @filter(op: "=", value: "CNTR03")
    Datapoints(interval_value: 2, interval_unit: "minute") {
        # filters
        wind_speed_mph @filter(op: ">", value: 10)

        # outputs
        time @output
    }
}

# Find data points where wind gust speed (2m and/or 10m) is > 30 mph (13.41 m/s)
Root {
    location_id @filter(op: "=", value: "CNTR03")
    Datapoints(interval_value: 2, interval_unit: "minute") {
        # filters
        wind_gust_speed_mph @filter(op: ">", value: 10)

        # outputs
        time @output
    }
}

# Calculate daily average temperature (2m temp) from 1-minute temperature data
# what does 2m temp mean in this context?
Root {
    location_id @filter(op: "=", value: "CNTR03")
    Calculated(interval_value: 1, interval_unit: "minute") {
        # outputs
        avg_temperature_fahrenheit(interval_value: 1, interval_unit: "day") @output
    }
}

# Calculate daily maximum temperature (2m temp) from 1-minute temperature data
Root {
    location_id @filter(op: "=", value: "CNTR03")
    Calculated(interval_value: 1, interval_unit: "minute") {
        # outputs
        max_temperature_fahrenheit(interval_value: 1, interval_unit: "day") @output
    }
}

# Calculate various degree day calculations (heating, cooling, growing degree days) using daily average temperature data
#
# How should this look datawise?

# Calculate monthly maximum temperature (2m temp) from 1-minute temperature data
Root {
    location_id @filter(op: "=", value: "CNTR03")
    Calculated(interval_value: 1, interval_unit: "minute") {
        # outputs
        # We could just make 1 the default interval_value and allow omitting it
        max_temperature_fahrenheit(interval_value: 1, interval_unit: "month") @output
    }
}

# Calculate monthly precipitation sum from 1-minute rainfall data
Root {
    location_id @filter(op: "=", value: "CNTR03")
    Calculated(interval_value: 1, interval_unit: "minute") {
        # outputs
        # we could also omit this and just sum over 
        sum_precipitation(interval_value: 1, interval_unit: "month") @output
    }
}

# Calculate annual statistics for all monthly statistics listed above
# just change interval_unit to year?

# Count number of data points  where temp (2m temp) is >= 90 deg F (32.2 deg C) over a specified (user-defined? - a day, several days, month, year, etc.) period of time
Root {
    location_id @filter(op: "=", value: "CNTR03")
    Datapoints(interval_value: 2, interval_unit: "minute") @fold
                                                        @transform(op: "count")
                                                        @output(name: "count")
    {
        # filters
        temperature_fahrenheit @filter(op: ">=", value: 90)

        # outputs
        time @output
    }
}

# Count number of days where daily rainfall is >= 1.00" (25.4 mm or 2.54 cm) over a specified (user-defined? -  several days, month, etc.) period of time
# todo: how to filter how many days?
Root {
    location_id @filter(op: "=", value: "CNTR03")
    Datapoints(interval_value: 1, interval_unit: "day") @fold
                                                        @transform(op: "count")
                                                        @output(name: "count")
    {
        # filters
        rainfall_inches @filter(op: ">=", value: 1)

        # outputs
        time @output
    }
}