dataservices-api/server/extension/old_versions/cdb_dataservices_server--0.13.3--0.13.2.sql
2020-03-17 09:49:54 +01:00

224 lines
12 KiB
PL/PgSQL

--DO NOT MODIFY THIS FILE, IT IS GENERATED AUTOMATICALLY FROM SOURCES
-- Complain if script is sourced in psql, rather than via CREATE EXTENSION
\echo Use "ALTER EXTENSION cdb_dataservices_server UPDATE TO '0.13.2'" to load this file. \quit
-- HERE goes your code to upgrade/downgrade
CREATE OR REPLACE FUNCTION cdb_dataservices_server._get_mapzen_geocoder_config(username text, orgname text)
RETURNS boolean AS $$
cache_key = "user_mapzen_geocoder_config_{0}".format(username)
if cache_key in GD:
return False
else:
from cartodb_services.metrics import MapzenGeocoderConfig
plpy.execute("SELECT cdb_dataservices_server._connect_to_redis('{0}')".format(username))
redis_conn = GD["redis_connection_{0}".format(username)]['redis_metadata_connection']
mapzen_geocoder_config = MapzenGeocoderConfig(redis_conn, plpy, username, orgname)
GD[cache_key] = mapzen_geocoder_config
return True
$$ LANGUAGE plpythonu SECURITY DEFINER;
CREATE OR REPLACE FUNCTION cdb_dataservices_server._get_mapzen_isolines_config(username text, orgname text)
RETURNS boolean AS $$
cache_key = "user_mapzen_isolines_routing_config_{0}".format(username)
if cache_key in GD:
return False
else:
from cartodb_services.metrics import MapzenIsolinesRoutingConfig
plpy.execute("SELECT cdb_dataservices_server._connect_to_redis('{0}')".format(username))
redis_conn = GD["redis_connection_{0}".format(username)]['redis_metadata_connection']
mapzen_isolines_config = MapzenIsolinesRoutingConfig(redis_conn, plpy, username, orgname)
GD[cache_key] = mapzen_isolines_config
return True
$$ LANGUAGE plpythonu SECURITY DEFINER;
CREATE OR REPLACE FUNCTION cdb_dataservices_server.cdb_mapzen_geocode_street_point(username TEXT, orgname TEXT, searchtext TEXT, city TEXT DEFAULT NULL, state_province TEXT DEFAULT NULL, country TEXT DEFAULT NULL)
RETURNS Geometry AS $$
# The configuration is retrieved but no checks are performed on it
plpy.execute("SELECT cdb_dataservices_server._connect_to_redis('{0}')".format(username))
redis_conn = GD["redis_connection_{0}".format(username)]['redis_metrics_connection']
plpy.execute("SELECT cdb_dataservices_server._get_mapzen_geocoder_config({0}, {1})".format(plpy.quote_nullable(username), plpy.quote_nullable(orgname)))
user_geocoder_config = GD["user_mapzen_geocoder_config_{0}".format(username)]
mapzen_plan = plpy.prepare("SELECT cdb_dataservices_server._cdb_mapzen_geocode_street_point($1, $2, $3, $4, $5, $6) as point; ", ["text", "text", "text", "text", "text", "text"])
return plpy.execute(mapzen_plan, [username, orgname, searchtext, city, state_province, country], 1)[0]['point']
$$ LANGUAGE plpythonu;
CREATE OR REPLACE FUNCTION cdb_dataservices_server._cdb_mapzen_geocode_street_point(username TEXT, orgname TEXT, searchtext TEXT, city TEXT DEFAULT NULL, state_province TEXT DEFAULT NULL, country TEXT DEFAULT NULL)
RETURNS Geometry AS $$
from cartodb_services.mapzen import MapzenGeocoder
from cartodb_services.mapzen.types import country_to_iso3
from cartodb_services.metrics import QuotaService
redis_conn = GD["redis_connection_{0}".format(username)]['redis_metrics_connection']
user_mapzen_geocoder_config = GD["user_mapzen_geocoder_config_{0}".format(username)]
quota_service = QuotaService(user_mapzen_geocoder_config, redis_conn)
if not quota_service.check_user_quota():
plpy.error('You have reached the limit of your quota')
try:
geocoder = MapzenGeocoder(user_mapzen_geocoder_config.mapzen_api_key)
country_iso3 = None
if country:
country_iso3 = country_to_iso3(country)
coordinates = geocoder.geocode(searchtext=searchtext, city=city,
state_province=state_province,
country=country_iso3)
if coordinates:
quota_service.increment_success_service_use()
plan = plpy.prepare("SELECT ST_SetSRID(ST_MakePoint($1, $2), 4326); ", ["double precision", "double precision"])
point = plpy.execute(plan, [coordinates[0], coordinates[1]], 1)[0]
return point['st_setsrid']
else:
quota_service.increment_empty_service_use()
return None
except BaseException as e:
import sys, traceback
type_, value_, traceback_ = sys.exc_info()
quota_service.increment_failed_service_use()
error_msg = 'There was an error trying to geocode using mapzen geocoder: {0}'.format(e)
plpy.notice(traceback.format_tb(traceback_))
plpy.error(error_msg)
finally:
quota_service.increment_total_service_use()
$$ LANGUAGE plpythonu;
-- isodistance
CREATE OR REPLACE FUNCTION cdb_dataservices_server.cdb_isodistance(username TEXT, orgname TEXT, source geometry(Geometry, 4326), mode TEXT, range integer[], options text[] DEFAULT array[]::text[])
RETURNS SETOF cdb_dataservices_server.isoline AS $$
plpy.execute("SELECT cdb_dataservices_server._connect_to_redis('{0}')".format(username))
redis_conn = GD["redis_connection_{0}".format(username)]['redis_metrics_connection']
plpy.execute("SELECT cdb_dataservices_server._get_isolines_routing_config({0}, {1})".format(plpy.quote_nullable(username), plpy.quote_nullable(orgname)))
user_isolines_config = GD["user_isolines_routing_config_{0}".format(username)]
type = 'isodistance'
if user_isolines_config.google_services_user:
plpy.error('This service is not available for google service users.')
here_plan = plpy.prepare("SELECT * FROM cdb_dataservices_server._cdb_here_routing_isolines($1, $2, $3, $4, $5, $6, $7) as isoline; ", ["text", "text", "text", "geometry(Geometry, 4326)", "text", "integer[]", "text[]"])
result = plpy.execute(here_plan, [username, orgname, type, source, mode, range, options])
return result
$$ LANGUAGE plpythonu;
CREATE OR REPLACE FUNCTION cdb_dataservices_server.cdb_mapzen_isodistance(username TEXT, orgname TEXT, source geometry(Geometry, 4326), mode TEXT, range integer[], options text[] DEFAULT array[]::text[])
RETURNS SETOF cdb_dataservices_server.isoline AS $$
plpy.execute("SELECT cdb_dataservices_server._connect_to_redis('{0}')".format(username))
redis_conn = GD["redis_connection_{0}".format(username)]['redis_metrics_connection']
plpy.execute("SELECT cdb_dataservices_server._get_mapzen_isolines_config({0}, {1})".format(plpy.quote_nullable(username), plpy.quote_nullable(orgname)))
user_isolines_config = GD["user_mapzen_isolines_routing_config_{0}".format(username)]
type = 'isodistance'
mapzen_plan = plpy.prepare("SELECT * FROM cdb_dataservices_server._cdb_mapzen_isolines($1, $2, $3, $4, $5, $6, $7) as isoline; ", ["text", "text", "text", "geometry(Geometry, 4326)", "text", "integer[]", "text[]"])
result = plpy.execute(mapzen_plan, [username, orgname, type, source, mode, range, options])
return result
$$ LANGUAGE plpythonu;
-- isochrones
CREATE OR REPLACE FUNCTION cdb_dataservices_server.cdb_isochrone(username TEXT, orgname TEXT, source geometry(Geometry, 4326), mode TEXT, range integer[], options text[] DEFAULT array[]::text[])
RETURNS SETOF cdb_dataservices_server.isoline AS $$
plpy.execute("SELECT cdb_dataservices_server._connect_to_redis('{0}')".format(username))
redis_conn = GD["redis_connection_{0}".format(username)]['redis_metrics_connection']
plpy.execute("SELECT cdb_dataservices_server._get_isolines_routing_config({0}, {1})".format(plpy.quote_nullable(username), plpy.quote_nullable(orgname)))
user_isolines_config = GD["user_isolines_routing_config_{0}".format(username)]
type = 'isochrone'
if user_isolines_config.google_services_user:
plpy.error('This service is not available for google service users.')
here_plan = plpy.prepare("SELECT * FROM cdb_dataservices_server._cdb_here_routing_isolines($1, $2, $3, $4, $5, $6, $7) as isoline; ", ["text", "text", "text", "geometry(Geometry, 4326)", "text", "integer[]", "text[]"])
result = plpy.execute(here_plan, [username, orgname, type, source, mode, range, options])
return result
$$ LANGUAGE plpythonu;
CREATE OR REPLACE FUNCTION cdb_dataservices_server.cdb_mapzen_isochrone(username TEXT, orgname TEXT, source geometry(Geometry, 4326), mode TEXT, range integer[], options text[] DEFAULT array[]::text[])
RETURNS SETOF cdb_dataservices_server.isoline AS $$
plpy.execute("SELECT cdb_dataservices_server._connect_to_redis('{0}')".format(username))
redis_conn = GD["redis_connection_{0}".format(username)]['redis_metrics_connection']
plpy.execute("SELECT cdb_dataservices_server._get_isolines_config({0}, {1})".format(plpy.quote_nullable(username), plpy.quote_nullable(orgname)))
user_isolines_config = GD["user_mapzen_isolines_routing_config_{0}".format(username)]
type = 'isochrone'
mapzen_plan = plpy.prepare("SELECT * FROM cdb_dataservices_server._cdb_mapzen_isolines($1, $2, $3, $4, $5, $6, $7) as isoline; ", ["text", "text", "text", "geometry(Geometry, 4326)", "text", "integer[]", "text[]"])
result = plpy.execute(mapzen_plan, [username, orgname, type, source, mode, range, options])
return result
$$ LANGUAGE plpythonu;
CREATE OR REPLACE FUNCTION cdb_dataservices_server._cdb_mapzen_isolines(
username TEXT,
orgname TEXT,
isotype TEXT,
source geometry(Geometry, 4326),
mode TEXT,
data_range integer[],
options text[])
RETURNS SETOF cdb_dataservices_server.isoline AS $$
import json
from cartodb_services.mapzen import MatrixClient
from cartodb_services.mapzen import MapzenIsolines
from cartodb_services.metrics import QuotaService
redis_conn = GD["redis_connection_{0}".format(username)]['redis_metrics_connection']
user_mapzen_isolines_routing_config = GD["user_mapzen_isolines_routing_config_{0}".format(username)]
# -- Check the quota
quota_service = QuotaService(user_mapzen_isolines_routing_config, redis_conn)
if not quota_service.check_user_quota():
plpy.error('You have reached the limit of your quota')
try:
client = MatrixClient(user_mapzen_isolines_routing_config.mapzen_matrix_api_key)
mapzen_isolines = MapzenIsolines(client)
if source:
lat = plpy.execute("SELECT ST_Y('%s') AS lat" % source)[0]['lat']
lon = plpy.execute("SELECT ST_X('%s') AS lon" % source)[0]['lon']
origin = {'lat': lat, 'lon': lon}
else:
raise Exception('source is NULL')
# -- TODO Support options properly
isolines = {}
if isotype == 'isodistance':
for r in data_range:
isoline = mapzen_isolines.calculate_isodistance(origin, mode, r)
isolines[r] = isoline
elif isotype == 'isochrone':
for r in data_range:
isoline = mapzen_isolines.calculate_isochrone(origin, mode, r)
isolines[r] = isoline
result = []
for r in data_range:
if len(isolines[r]) >= 3:
# -- TODO encapsulate this block into a func/method
locations = isolines[r] + [ isolines[r][0] ] # close the polygon repeating the first point
wkt_coordinates = ','.join(["%f %f" % (l['lon'], l['lat']) for l in locations])
sql = "SELECT ST_MPolyFromText('MULTIPOLYGON((({0})))', 4326) as geom".format(wkt_coordinates)
multipolygon = plpy.execute(sql, 1)[0]['geom']
else:
multipolygon = None
result.append([source, r, multipolygon])
quota_service.increment_success_service_use()
quota_service.increment_isolines_service_use(len(isolines))
return result
except BaseException as e:
import sys, traceback
type_, value_, traceback_ = sys.exc_info()
quota_service.increment_failed_service_use()
error_msg = 'There was an error trying to obtain isolines using mapzen: {0}'.format(e)
plpy.debug(traceback.format_tb(traceback_))
raise e
#plpy.error(error_msg)
finally:
quota_service.increment_total_service_use()
$$ LANGUAGE plpythonu SECURITY DEFINER;