iharp-query-executor 0.1.1

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Importing the executors:

For GetRasterExecutor:

from iharp_query_executor.get_raster_api import GetRasterExecutor

For GeoJsonExecutor:

from iharp_query_executor.get_geojson_executor import GeoJsonExecutor

For GetTimeseriesExecutor:

from iharp_query_executor.get_timeseries_api import GeoTimeseriesExecutor

For GetHeatmapExecutor:

from iharp_query_executor.get_heatmap_api import GeoHeatmapExecutor

For GetFindTimeExecutor:

from iharp_query_executor.get_find_time_api import GeoFindTimeExecutor

For GetFindAreaExecutor:

from iharp_query_executor.get_find_area_api import GeoFindAreaExecutor

Each function requires the variables shown inside the function to work properly.

GetRasterExecutor:

Code for the GetRasterExecutor function:

raster = GetRasterExecutor(
    variable=variable,
    start_datetime=start_datetime,
    end_datetime=end_datetime,
    temporal_resolution=temporal_resolution,
    min_lat=min_lat,
    max_lat=max_lat,
    min_lon=min_lon,
    max_lon=max_lon,
    spatial_resolution=spatial_resolution,
    aggregation=aggregation,
)

To run the executor function:

  raster.executr()

GeoJsonExecutor:

The GeoJsonExecutor has an execute function like the rest but also a visualize function that will save a visualization of the data and masked data to a file called data_plot.png.

Code for the GeoJsonExecutor function:

geojson = GeoJsonExecutor(
    variable=variable,
    start_datetime=start_datetime,
    end_datetime=end_datetime,
    temporal_resolution=temporal_resolution,
    min_lat=min_lat,
    max_lat=max_lat,
    min_lon=min_lon,
    max_lon=max_lon,
    spatial_resolution=spatial_resolution,
    aggregation=aggregation,
    geojson_file=geojson_file
)

To run the executor and visualize function:

geojson.execute()
geojson.visualize()

GetTimeseriesExecutor:

Code for the GetTimeseriesExecutor function:

timeseries = GetTimeseriesExecutor(
    variable=variable,
    start_datetime=start_datetime,
    end_datetime=end_datetime,
    temporal_resolution=temporal_resolution,
    min_lat=min_lat,
    max_lat=max_lat,
    min_lon=min_lon,
    max_lon=max_lon,
    aggregation=aggregation,
)

To run the executor function:

timeseries.execute()

GetHeatMapExecutor:

Code for the GetHeatmapExecutor function:

heatmap = GetHeatmapExecutor(
    variable=variable,
    start_datetime=start_datetime,
    end_datetime=end_datetime,
    min_lat=min_lat,
    max_lat=max_lat,
    min_lon=min_lon,
    max_lon=max_lon,
    spatial_resolution=spatial_resolution,
    aggregation=aggregation,
)

To run the executor function:

heatmap.execute()

GetFindTimeExecutor:

Code for the GetFindTimeExecutor function:

ft = GetFindTimeExecutor(
    variable=variable,
    start_datetime=start_datetime,
    end_datetime=end_datetime,
    temporal_resolution=temporal_resolution,
    min_lat=min_lat,
    max_lat=max_lat,
    min_lon=min_lon,
    max_lon=max_lon,
    aggregation=aggregation,
    filter_predicate=filter_predicate,
    filter_value=filter_value
)

To run the executor function:

ft.execute()

GetFindAreaExecutor:

Code for the GetFindAreaExecutor function:

fa = GetFindAreaExecutor(
    variable=variable,
    start_datetime=start_datetime,
    end_datetime=end_datetime,
    min_lat=min_lat,
    max_lat=max_lat,
    min_lon=min_lon,
    max_lon=max_lon,
    spatial_resolution=spatial_resolution,
    aggregation=aggregation,
    filter_predicate=filter_predicate,
    filter_value=filter_value
)

To run the executor function:

fa.execute()