|
| 1 | +""" |
| 2 | +About |
| 3 | +===== |
| 4 | +
|
| 5 | +Demo for querying Australian Bureau of Meteorology's Water Data Online (WDO) service. |
| 6 | +
|
| 7 | +It uses `kiwis-pie`, a Python library for querying a WISKI system using the KiWIS |
| 8 | +(KISTERS Web Interoperability Solution) interface. |
| 9 | +
|
| 10 | +
|
| 11 | +Setup |
| 12 | +===== |
| 13 | +:: |
| 14 | +
|
| 15 | + pip install kiwis-pie |
| 16 | +
|
| 17 | +
|
| 18 | +Synopsis |
| 19 | +======== |
| 20 | +:: |
| 21 | +
|
| 22 | + python -m wetterdienst.provider.bom.wdo |
| 23 | +
|
| 24 | +
|
| 25 | +References |
| 26 | +========== |
| 27 | +
|
| 28 | +- http://www.bom.gov.au/waterdata/ |
| 29 | +- http://www.bom.gov.au/waterdata/services |
| 30 | +- https://github.com/amacd31/kiwis_pie |
| 31 | +- https://www.kisters.com.au/wiski-modules.html |
| 32 | +- https://kiwis.kisters.de/KiWIS/ |
| 33 | +
|
| 34 | +""" |
| 35 | +from datetime import date |
| 36 | +from pprint import pprint |
| 37 | + |
| 38 | +from kiwis_pie import KIWIS |
| 39 | + |
| 40 | + |
| 41 | +class BomWdoAccess: |
| 42 | + def __init__(self): |
| 43 | + # Introduction. |
| 44 | + print_header("About") |
| 45 | + print(__doc__) |
| 46 | + self.kiwis = KIWIS("http://www.bom.gov.au/waterdata/services") |
| 47 | + |
| 48 | + def display_index(self): |
| 49 | + |
| 50 | + # Retrieve list of sites. |
| 51 | + print_header("List of all sites") |
| 52 | + sites = self.kiwis.get_site_list() |
| 53 | + print(sites) |
| 54 | + print() |
| 55 | + |
| 56 | + # Retrieve list of stations. |
| 57 | + print_header("List of all stations") |
| 58 | + stations = self.kiwis.get_station_list() |
| 59 | + print(stations) |
| 60 | + print() |
| 61 | + |
| 62 | + # Retrieve list of parameters. |
| 63 | + print_header("List of all parameters") |
| 64 | + parameters = self.kiwis.get_parameter_list() |
| 65 | + print(parameters) |
| 66 | + print() |
| 67 | + |
| 68 | + # Retrieve list of parameter types. |
| 69 | + print_header("List of all parameter types") |
| 70 | + parameter_types = self.kiwis.get_parameter_type_list() |
| 71 | + print(parameter_types) |
| 72 | + print() |
| 73 | + |
| 74 | + def display_details( |
| 75 | + self, station_name, timeseries_name, parameter_type, date_from, date_to |
| 76 | + ): |
| 77 | + |
| 78 | + # Get station information by station name. |
| 79 | + station = self.kiwis.get_station_list(station_name=station_name) |
| 80 | + |
| 81 | + # Display station information. |
| 82 | + print_header(f'Station information for "{station_name}"') |
| 83 | + pprint(station.to_dict(orient="list")) |
| 84 | + print() |
| 85 | + |
| 86 | + # Resolve station name to station identifier. |
| 87 | + station_id = station.station_id.values[0] |
| 88 | + |
| 89 | + # Retrieve list of timeseries. |
| 90 | + print_header(f'List of all timeseries for station "{station_name}"') |
| 91 | + timeseries = self.kiwis.get_timeseries_list(station_id=station_id) |
| 92 | + print(timeseries) |
| 93 | + print() |
| 94 | + |
| 95 | + # Get ready. |
| 96 | + print_header( |
| 97 | + f'One month worth of "{parameter_type}" data from "{station_name}"' |
| 98 | + ) |
| 99 | + print() |
| 100 | + |
| 101 | + # Resolve timeseries name to timeseries identifier for specific station. |
| 102 | + timeseries_id = self.kiwis.get_timeseries_list( |
| 103 | + station_id=station_id, |
| 104 | + ts_name=timeseries_name, |
| 105 | + parametertype_name=parameter_type, |
| 106 | + ).ts_id.values[0] |
| 107 | + |
| 108 | + # Acquire values. |
| 109 | + data = self.kiwis.get_timeseries_values( |
| 110 | + ts_id=timeseries_id, to=date_to, **{"from": date_from} |
| 111 | + ) |
| 112 | + |
| 113 | + # Display dataset information. |
| 114 | + print_header("Dataset information") |
| 115 | + print(f"Station name: {station_name}") |
| 116 | + print(f"Station ID: {station_id}") |
| 117 | + print(f"Timeseries name: {timeseries_name}") |
| 118 | + print(f"Timeseries ID: {timeseries_id}") |
| 119 | + print(f"Parameter Type: {parameter_type}") |
| 120 | + print() |
| 121 | + |
| 122 | + # Display data. |
| 123 | + print_header("Data") |
| 124 | + print(data) |
| 125 | + print() |
| 126 | + |
| 127 | + # Optionally use the `keep_tz` option to return in local timezone instead of UTC. |
| 128 | + # k.get_timeseries_values(ts_id=ts_id, to=date(2016, 1, 31), **{"from": date(2016, 1, 1)}, keep_tz=True) # noqa: E501 |
| 129 | + |
| 130 | + |
| 131 | +def print_header(label): |
| 132 | + length = max(len(label), 42) |
| 133 | + print("-" * length) |
| 134 | + print(label.center(length)) |
| 135 | + print("-" * length) |
| 136 | + |
| 137 | + |
| 138 | +def main(): |
| 139 | + bom = BomWdoAccess() |
| 140 | + |
| 141 | + # Acquire and display list of available sites, stations, parameters |
| 142 | + # and parameter types. |
| 143 | + bom.display_index() |
| 144 | + |
| 145 | + # Acquire and display 31 days worth of "daily water course discharge" |
| 146 | + # data for "Cotter River at Gingera" from the "daily mean streamflow (Q)" |
| 147 | + # timeseries. |
| 148 | + bom.display_details( |
| 149 | + station_name="Cotter R. at Gingera", |
| 150 | + timeseries_name="DMQaQc.Merged.DailyMean.24HR", |
| 151 | + parameter_type="Water Course Discharge", |
| 152 | + date_from=date(2016, 1, 1), |
| 153 | + date_to=date(2016, 1, 31), |
| 154 | + ) |
| 155 | + |
| 156 | + |
| 157 | +if __name__ == "__main__": |
| 158 | + """ |
| 159 | + Synopsis:: |
| 160 | +
|
| 161 | + python -m wetterdienst.provider.bom.wdo |
| 162 | + """ |
| 163 | + main() |
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