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Refactor of caching & data storage part 8 #118
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+32
-40
@@ -1,66 +1,58 @@
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import json
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import logging
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import re
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from math import floor
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import geopandas
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from pyproj import Transformer
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from shapely import prepare
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from shapely.geometry import Point, Polygon
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from core.data_store import DATA_STORE
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TRANSFORMER_OS_GRID_TO_WGS84 = Transformer.from_crs("EPSG:27700", "EPSG:4326")
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TRANSFORMER_IRISH_GRID_TO_WGS84 = Transformer.from_crs("EPSG:29903", "EPSG:4326")
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TRANSFORMER_CI_UTM_GRID_TO_WGS84 = Transformer.from_crs("+proj=utm +zone=30 +ellps=WGS84", "EPSG:4326")
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with open("datafiles/cqzones.geojson") as f:
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cq_zone_data = geopandas.GeoDataFrame.from_features(json.load(f)["features"])
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with open("datafiles/ituzones.geojson") as f:
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itu_zone_data = geopandas.GeoDataFrame.from_features(json.load(f)["features"])
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for idx in cq_zone_data.index:
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prepare(cq_zone_data.at[idx, 'geometry'])
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for idx in itu_zone_data.index:
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prepare(itu_zone_data.at[idx, 'geometry'])
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def lat_lon_to_cq_zone(lat, lon):
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"""Finds out which CQ zone a lat/lon point is in."""
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lon = ((lon + 180) % 360) - 180
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for index, row in cq_zone_data.iterrows():
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polygon = Polygon(row["geometry"])
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test_point = Point(lon, lat)
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if polygon.contains(test_point):
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return int(row["name"])
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if DATA_STORE.cq_zone_data is not None:
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lon = ((lon + 180) % 360) - 180
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for index, row in DATA_STORE.cq_zone_data.iterrows():
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polygon = Polygon(row["geometry"])
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test_point = Point(lon, lat)
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if polygon.contains(test_point):
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return int(row["name"])
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# Might have problems around the antemeridian, so if we didn't find a match, try offsetting the point by + or -
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# 360 degrees longitude to try the other side of the Earth
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if lon < 0:
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test_point = Point(lon + 360, lat)
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else:
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test_point = Point(lon - 360, lat)
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if polygon.contains(test_point):
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return int(row["name"])
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# Might have problems around the antemeridian, so if we didn't find a match, try offsetting the point by + or -
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# 360 degrees longitude to try the other side of the Earth
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if lon < 0:
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test_point = Point(lon + 360, lat)
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else:
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test_point = Point(lon - 360, lat)
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if polygon.contains(test_point):
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return int(row["name"])
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return None
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def lat_lon_to_itu_zone(lat, lon):
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"""Finds out which ITU zone a lat/lon point is in."""
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lon = ((lon + 180) % 360) - 180
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for index, row in itu_zone_data.iterrows():
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polygon = Polygon(row["geometry"])
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test_point = Point(lon, lat)
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if polygon.contains(test_point):
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return int(row["name"])
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if DATA_STORE.itu_zone_data is not None:
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lon = ((lon + 180) % 360) - 180
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for index, row in DATA_STORE.itu_zone_data.iterrows():
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polygon = Polygon(row["geometry"])
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test_point = Point(lon, lat)
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if polygon.contains(test_point):
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return int(row["name"])
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# Might have problems around the antemeridian, so if we didn't find a match, try offsetting the point by + or -
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# 360 degrees longitude to try the other side of the Earth
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if lon < 0:
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test_point = Point(lon + 360, lat)
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else:
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test_point = Point(lon - 360, lat)
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if polygon.contains(test_point):
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return int(row["name"])
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# Might have problems around the antemeridian, so if we didn't find a match, try offsetting the point by + or -
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# 360 degrees longitude to try the other side of the Earth
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if lon < 0:
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test_point = Point(lon + 360, lat)
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else:
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test_point = Point(lon - 360, lat)
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if polygon.contains(test_point):
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return int(row["name"])
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return None
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