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62 lines
1.4 KiB
Python
62 lines
1.4 KiB
Python
import json
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import os.path
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# Medialab Prado
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medialab_prado = [ -3.69380, 40.41041 ]
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# X 441133.28
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# Y 4473541.39
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# Plaza del Sol
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# Top left corner of the search field
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plaza_del_sol = [ -3.7035, 40.41684 ]
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# X 440315.95
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# Y 4474261.62
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# Atocha Renfe
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# Bottom right corner of the search field
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atocha_renfe = [ -3.6886, 40.40697 ]
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# X 441571.52
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# Y 4473156.10
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# Return true if the tree lives within the given bounding box
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# and it has a street address in the database
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def within (bbox):
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def eligible (tree):
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coords = tree['geometry']['coordinates']
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if bbox[0][0] <= coords[0] <= bbox[1][0] \
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and bbox[0][1] <= coords[1] <= bbox[1][1] \
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and tree['properties']['MINTDIRECCIONAUX'] is not None:
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return True
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return False
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return eligible
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# Load trees from the selected_ordered_trees
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# who live within barrio de las letras
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# and have a postal address recorded in the database
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def load_trees_from_json():
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basepath = os.path.dirname(__file__)
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datafile = os.path.join(basepath, '../data/selected_trees_ordered.geojson')
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barrio_de_las_letras = [
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[-3.7025, 40.4134],
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[-3.6945, 40.4169]
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]
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with open(datafile, 'r') as fp:
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data = json.load(fp)
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trees = data['features']
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return list(filter(within(barrio_de_las_letras), trees))
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if __name__ == '__main__':
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from random import shuffle
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eligible_trees = load_trees_from_json()
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print(len(eligible_trees))
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shuffle(eligible_trees)
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print(eligible_trees[:1])
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