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Update code to work with SQLAlchemy 2

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This commit is contained in:
Edward Betts 2023-11-02 09:19:36 +00:00
parent 7603b33b2b
commit 6ada61e09b
1 changed files with 42 additions and 52 deletions
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16
matcher/api.py
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@ -123,7 +123,7 @@ def make_envelope_around_point(
)
s = select(
[
*[
sqlalchemy.func.ST_AsText(
sqlalchemy.func.ST_Project(p, distance, sqlalchemy.func.radians(deg))
)
@ -158,11 +158,9 @@ def get_part_of(
s = (
select(
[
polygon.c.osm_id,
polygon.c.tags,
sqlalchemy.func.ST_Area(sqlalchemy.func.ST_Collect(polygon.c.way)),
]
)
.where(
and_(
@ -753,7 +751,6 @@ def find_osm_candidates(item, limit=80, max_distance=450, names=None):
s_point = (
select(
[
sqlalchemy.sql.expression.literal("point").label("t"),
point.c.osm_id,
point.c.tags.label("tags"),
@ -765,7 +762,6 @@ def find_osm_candidates(item, limit=80, max_distance=450, names=None):
sqlalchemy.func.ST_AsText(point.c.way),
sqlalchemy.func.ST_AsGeoJSON(point.c.way),
null_area,
]
)
.where(
and_(
@ -784,7 +780,6 @@ def find_osm_candidates(item, limit=80, max_distance=450, names=None):
s_line = (
select(
[
sqlalchemy.sql.expression.literal("line").label("t"),
line.c.osm_id,
line.c.tags.label("tags"),
@ -798,7 +793,6 @@ def find_osm_candidates(item, limit=80, max_distance=450, names=None):
),
sqlalchemy.func.ST_AsGeoJSON(sqlalchemy.func.ST_Collect(line.c.way)),
null_area,
]
)
.where(
and_(
@ -817,7 +811,6 @@ def find_osm_candidates(item, limit=80, max_distance=450, names=None):
s_polygon = (
select(
[
sqlalchemy.sql.expression.literal("polygon").label("t"),
polygon.c.osm_id,
polygon.c.tags.label("tags"),
@ -827,13 +820,10 @@ def find_osm_candidates(item, limit=80, max_distance=450, names=None):
)
).label("dist"),
sqlalchemy.func.ST_AsText(
sqlalchemy.func.ST_Centroid(
sqlalchemy.func.ST_Collect(polygon.c.way)
)
sqlalchemy.func.ST_Centroid(sqlalchemy.func.ST_Collect(polygon.c.way))
),
sqlalchemy.func.ST_AsGeoJSON(sqlalchemy.func.ST_Collect(polygon.c.way)),
sqlalchemy.func.ST_Area(sqlalchemy.func.ST_Collect(polygon.c.way)),
]
)
.where(
and_(
@ -856,7 +846,7 @@ def find_osm_candidates(item, limit=80, max_distance=450, names=None):
tables = ([] if item_is_linear_feature else [s_point]) + [s_line, s_polygon]
s = (
select([sqlalchemy.sql.expression.union(*tables).alias()])
select(sqlalchemy.sql.expression.union(*tables).alias())
.where(dist < max_distance)
.order_by(dist)
)