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import os
import logging
import psycopg
import yaml
logger = logging.getLogger(__name__) # Set the logger name, to the name of the module
class IllegalInstructionException(Exception):
pass
with open(os.path.join('configs', 'database.yml'), 'r') as file:
db_con_params = yaml.safe_load(file.read())
with psycopg.connect(**db_con_params) as conn:
with conn.cursor() as cur:
cur.execute("""
SELECT class
FROM poi
GROUP BY class
HAVING COUNT(*) > 1
ORDER BY class
;
""")
classes = cur.fetchall()
categories = [category[0] for category in classes]
cur.execute("""
SELECT class, subclass
FROM poi
WHERE subclass NOT LIKE '%;%'
GROUP BY class, subclass
HAVING COUNT(*) > 1
ORDER BY class, subclass
;
""")
sub_cat = cur.fetchall()
categories += [(f"{category[0]}:{category[1]}") for category in sub_cat]
print(f"Loaded: {len(categories)} categories")
cur.execute("""
SELECT country
FROM poi
WHERE country is not null GROUP BY country
HAVING COUNT(*) > 1
;""")
countries = cur.fetchall()
countries = [country[0] for country in countries]
print(f"Loaded countries: {countries}")
def get_chains() -> (list[dict]):
with psycopg.connect(**db_con_params, row_factory=psycopg.rows.dict_row) as conn:
with conn.cursor() as cur:
cur.execute("""
SELECT name, color FROM chain
""")
chains = cur.fetchall()
return chains
def get_all(country: str, category: str) -> (list[dict]):
if category not in categories:
raise IllegalInstructionException("Category not found")
if country not in countries:
raise IllegalInstructionException("Country not found")
query = """
WITH filtered AS (
SELECT osm_id, name, brand, geom, class, subclass
FROM poi
WHERE class = %(class)s
"""
params = {'country': country}
if ':' in category:
query += " AND subclass = %(subclass)s "
class_, sub_class = category.split(':')
params['class'] = class_
params['subclass'] = sub_class
else:
params['class'] = category
query += """AND country = %(country)s
)
SELECT
filtered.osm_id,
filtered.name,
filtered.brand,
ST_Y(ST_Transform(filtered.geom, 4326)) AS lat,
ST_X(ST_Transform(filtered.geom, 4326)) AS long,
ST_AsGeoJSON(ST_Transform(polygon.geom, 4326)) as polygon
FROM filtered
JOIN
(
SELECT (ST_DUMP(ST_VoronoiPolygons(ST_Collect(geom)))).geom as geom
FROM filtered
) polygon ON ST_Contains(polygon.geom, filtered.geom)
;
"""
with psycopg.connect(**db_con_params, row_factory=psycopg.rows.dict_row) as conn:
with conn.cursor() as cur:
cur.execute(query, params)
all = cur.fetchall()
return all
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