[points] Adding single typed array for points index

This commit is contained in:
Al
2016-04-28 18:40:24 -04:00
parent 2cb988734a
commit b0e04d961b

View File

@@ -21,10 +21,12 @@ class PointIndex(object):
GEOHASH_PRECISION = 7
PROPS_FILENAME = 'properties.json'
POINTS_FILENAME = 'points.json'
INDEX_FILENAME = 'index.json'
def __init__(self, index=None, save_dir=None,
points=None,
points_path=None,
points_db=None,
points_db_path=None,
index_path=None,
@@ -46,6 +48,9 @@ class PointIndex(object):
else:
self.index = index
if not points_path:
points_path = os.path.join(save_dir or '.', self.POINTS_FILENAME)
if not points:
self.points = []
else:
@@ -68,7 +73,7 @@ class PointIndex(object):
for key in [code] + geohash.neighbors(code):
self.index[key].append(self.i)
self.points.append((lat, lon))
self.points.extend([lat, lon])
def add_point(self, lat, lon, properties, cache=False, include_only_properties=None):
if include_only_properties is not None:
@@ -97,6 +102,13 @@ class PointIndex(object):
def load_index(cls, d, index_name=None):
return json.load(open(os.path.join(d, index_name or cls.INDEX_FILENAME)))
def save_points(self):
json.dump(self.points, open(self.points_path, 'w'))
@classmethod
def load_points(cls, d):
return array.array('d', json.load(open(os.path.join(d, cls.POINTS_FILENAME))))
def properties_key(self, i):
return 'props:{}'.format(i)
@@ -110,8 +122,9 @@ class PointIndex(object):
@classmethod
def load(cls, d):
index = cls.load_index(d)
points = cls.load_points(d)
points_db = LevelDB(os.path.join(d, cls.POINTS_DB_DIR))
point_index = cls(index=index, points_db=points_db)
point_index = cls(index=index, points=points, points_db=points_db)
point_index.load_properties(os.path.join(d, cls.PROPS_FILENAME))
return point_index
@@ -129,8 +142,11 @@ class PointIndex(object):
def point_distances(self, latitude, longitude):
candidates = self.get_candidate_points(latitude, longitude)
return [(i, self.points[i][0], self.points[i][1],
haversine_distance(latitude, longitude, *self.points[i])) for i in candidates]
return [(i, self.points[i * 2], self.points[i * 2 + 1],
haversine_distance(latitude, longitude,
self.points[i * 2],
self.points[i * 2 + 1]))
for i in candidates]
def all_nearby_points(self, latitude, longitude):
distances = self.point_distances(latitude, longitude)