+# SPDX-License-Identifier: GPL-3.0-or-later
+#
+# This file is part of Nominatim. (https://nominatim.org)
+#
+# Copyright (C) 2024 by the Nominatim developer community.
+# For a full list of authors see the git log.
+import logging
from itertools import chain
-import psycopg2.extras
+import psycopg
+from psycopg import sql as pysql
from place_inserter import PlaceColumn
from table_compare import NominatimID, DBRow
-from nominatim.indexer.indexer import Indexer
+from nominatim_db.indexer import indexer
+from nominatim_db.tokenizer import factory as tokenizer_factory
def check_database_integrity(context):
""" Check some generic constraints on the tables.
"""
- # place_addressline should not have duplicate (place_id, address_place_id)
- cur = context.db.cursor()
- cur.execute("""SELECT count(*) FROM
- (SELECT place_id, address_place_id, count(*) as c
- FROM place_addressline GROUP BY place_id, address_place_id) x
- WHERE c > 1""")
- assert cur.fetchone()[0] == 0, "Duplicates found in place_addressline"
+ with context.db.cursor(row_factory=psycopg.rows.tuple_row) as cur:
+ # place_addressline should not have duplicate (place_id, address_place_id)
+ cur.execute("""SELECT count(*) FROM
+ (SELECT place_id, address_place_id, count(*) as c
+ FROM place_addressline GROUP BY place_id, address_place_id) x
+ WHERE c > 1""")
+ assert cur.fetchone()[0] == 0, "Duplicates found in place_addressline"
+
+ # word table must not have empty word_tokens
+ if context.nominatim.tokenizer != 'legacy':
+ cur.execute("SELECT count(*) FROM word WHERE word_token = ''")
+ assert cur.fetchone()[0] == 0, "Empty word tokens found in word table"
+
################################ GIVEN ##################################
for tests on data that looks up members.
"""
with context.db.cursor() as cur:
- for r in context.table:
- last_node = 0
- last_way = 0
- parts = []
- if r['members']:
- members = []
- for m in r['members'].split(','):
- mid = NominatimID(m)
- if mid.typ == 'N':
- parts.insert(last_node, int(mid.oid))
- last_node += 1
- last_way += 1
- elif mid.typ == 'W':
- parts.insert(last_way, int(mid.oid))
- last_way += 1
- else:
- parts.append(int(mid.oid))
-
- members.extend((mid.typ.lower() + mid.oid, mid.cls or ''))
- else:
- members = None
-
- tags = chain.from_iterable([(h[5:], r[h]) for h in r.headings if h.startswith("tags+")])
-
- cur.execute("""INSERT INTO planet_osm_rels (id, way_off, rel_off, parts, members, tags)
- VALUES (%s, %s, %s, %s, %s, %s)""",
- (r['id'], last_node, last_way, parts, members, list(tags)))
+ cur.execute("SELECT value FROM osm2pgsql_properties WHERE property = 'db_format'")
+ row = cur.fetchone()
+ if row is None or row['value'] == '1':
+ for r in context.table:
+ last_node = 0
+ last_way = 0
+ parts = []
+ if r['members']:
+ members = []
+ for m in r['members'].split(','):
+ mid = NominatimID(m)
+ if mid.typ == 'N':
+ parts.insert(last_node, int(mid.oid))
+ last_node += 1
+ last_way += 1
+ elif mid.typ == 'W':
+ parts.insert(last_way, int(mid.oid))
+ last_way += 1
+ else:
+ parts.append(int(mid.oid))
+
+ members.extend((mid.typ.lower() + mid.oid, mid.cls or ''))
+ else:
+ members = None
+
+ tags = chain.from_iterable([(h[5:], r[h]) for h in r.headings if h.startswith("tags+")])
+
+ cur.execute("""INSERT INTO planet_osm_rels (id, way_off, rel_off, parts, members, tags)
+ VALUES (%s, %s, %s, %s, %s, %s)""",
+ (r['id'], last_node, last_way, parts, members, list(tags)))
+ else:
+ for r in context.table:
+ if r['members']:
+ members = []
+ for m in r['members'].split(','):
+ mid = NominatimID(m)
+ members.append({'ref': mid.oid, 'role': mid.cls or '', 'type': mid.typ})
+ else:
+ members = []
+
+ tags = {h[5:]: r[h] for h in r.headings if h.startswith("tags+")}
+
+ cur.execute("""INSERT INTO planet_osm_rels (id, tags, members)
+ VALUES (%s, %s, %s)""",
+ (r['id'], psycopg.types.json.Json(tags),
+ psycopg.types.json.Json(members)))
@given("the ways")
def add_data_to_planet_ways(context):
tests on that that looks up node ids in this table.
"""
with context.db.cursor() as cur:
+ cur.execute("SELECT value FROM osm2pgsql_properties WHERE property = 'db_format'")
+ row = cur.fetchone()
+ json_tags = row is not None and row['value'] != '1'
for r in context.table:
- tags = chain.from_iterable([(h[5:], r[h]) for h in r.headings if h.startswith("tags+")])
+ if json_tags:
+ tags = psycopg.types.json.Json({h[5:]: r[h] for h in r.headings if h.startswith("tags+")})
+ else:
+ tags = list(chain.from_iterable([(h[5:], r[h])
+ for h in r.headings if h.startswith("tags+")]))
nodes = [ int(x.strip()) for x in r['nodes'].split(',') ]
cur.execute("INSERT INTO planet_osm_ways (id, nodes, tags) VALUES (%s, %s, %s)",
- (r['id'], nodes, list(tags)))
+ (r['id'], nodes, tags))
################################ WHEN ##################################
def import_and_index_data_from_place_table(context):
""" Import data previously set up in the place table.
"""
- context.nominatim.copy_from_place(context.db)
- context.nominatim.run_setup_script('calculate-postcodes')
-
- # Call directly as the refresh function does not include postcodes.
- indexer = Indexer(context.nominatim.test_env['NOMINATIM_DATABASE_DSN'][6:], 1)
- indexer.index_full(analyse=False)
+ context.nominatim.run_nominatim('import', '--continue', 'load-data',
+ '--index-noanalyse', '-q',
+ '--offline')
check_database_integrity(context)
+ # Remove the output of the input, when all was right. Otherwise it will be
+ # output when there are errors that had nothing to do with the import
+ # itself.
+ context.log_capture.buffer.clear()
+
@when("updating places")
def update_place_table(context):
""" Update the place table with the given data. Also runs all triggers
context.nominatim.run_nominatim('refresh', '--functions')
with context.db.cursor() as cur:
for row in context.table:
- PlaceColumn(context).add_row(row, False).db_insert(cur)
+ col = PlaceColumn(context).add_row(row, False)
+ col.db_delete(cur)
+ col.db_insert(cur)
+ cur.execute('SELECT flush_deleted_places()')
context.nominatim.reindex_placex(context.db)
check_database_integrity(context)
+ # Remove the output of the input, when all was right. Otherwise it will be
+ # output when there are errors that had nothing to do with the import
+ # itself.
+ context.log_capture.buffer.clear()
+
+
@when("updating postcodes")
def update_postcodes(context):
""" Rerun the calculation of postcodes.
"""
context.nominatim.run_nominatim('refresh', '--functions')
with context.db.cursor() as cur:
+ cur.execute('TRUNCATE place_to_be_deleted')
for oid in oids.split(','):
NominatimID(oid).query_osm_id(cur, 'DELETE FROM place WHERE {}')
+ cur.execute('SELECT flush_deleted_places()')
context.nominatim.reindex_placex(context.db)
+ # Remove the output of the input, when all was right. Otherwise it will be
+ # output when there are errors that had nothing to do with the import
+ # itself.
+ context.log_capture.buffer.clear()
+
################################ THEN ##################################
@then("(?P<table>placex|place) contains(?P<exact> exactly)?")
def check_place_contents(context, table, exact):
""" Check contents of place/placex tables. Each row represents a table row
and all data must match. Data not present in the expected table, may
- be arbitry. The rows are identified via the 'object' column which must
+ be arbitrary. The rows are identified via the 'object' column which must
have an identifier of the form '<NRW><osm id>[:<class>]'. When multiple
rows match (for example because 'class' was left out and there are
multiple entries for the given OSM object) then all must match. All
expected rows are expected to be present with at least one database row.
When 'exactly' is given, there must not be additional rows in the database.
"""
- with context.db.cursor(cursor_factory=psycopg2.extras.DictCursor) as cur:
+ with context.db.cursor() as cur:
expected_content = set()
for row in context.table:
nid = NominatimID(row['object'])
DBRow(nid, res, context).assert_row(row, ['object'])
if exact:
- cur.execute('SELECT osm_type, osm_id, class from {}'.format(table))
- assert expected_content == set([(r[0], r[1], r[2]) for r in cur])
+ cur.execute(pysql.SQL('SELECT osm_type, osm_id, class from')
+ + pysql.Identifier(table))
+ actual = set([(r['osm_type'], r['osm_id'], r['class']) for r in cur])
+ assert expected_content == actual, \
+ f"Missing entries: {expected_content - actual}\n" \
+ f"Not expected in table: {actual - expected_content}"
@then("(?P<table>placex|place) has no entry for (?P<oid>.*)")
""" Ensure that no database row for the given object exists. The ID
must be of the form '<NRW><osm id>[:<class>]'.
"""
- with context.db.cursor(cursor_factory=psycopg2.extras.DictCursor) as cur:
+ with context.db.cursor() as cur:
NominatimID(oid).query_osm_id(cur, "SELECT * FROM %s where {}" % table)
assert cur.rowcount == 0, \
"Found {} entries for ID {}".format(cur.rowcount, oid)
def check_search_name_contents(context, exclude):
""" Check contents of place/placex tables. Each row represents a table row
and all data must match. Data not present in the expected table, may
- be arbitry. The rows are identified via the 'object' column which must
+ be arbitrary. The rows are identified via the 'object' column which must
have an identifier of the form '<NRW><osm id>[:<class>]'. All
expected rows are expected to be present with at least one database row.
"""
- with context.db.cursor(cursor_factory=psycopg2.extras.DictCursor) as cur:
- for row in context.table:
- nid = NominatimID(row['object'])
- nid.row_by_place_id(cur, 'search_name',
- ['ST_X(centroid) as cx', 'ST_Y(centroid) as cy'])
- assert cur.rowcount > 0, "No rows found for " + row['object']
+ tokenizer = tokenizer_factory.get_tokenizer_for_db(context.nominatim.get_test_config())
+
+ with tokenizer.name_analyzer() as analyzer:
+ with context.db.cursor() as cur:
+ for row in context.table:
+ nid = NominatimID(row['object'])
+ nid.row_by_place_id(cur, 'search_name',
+ ['ST_X(centroid) as cx', 'ST_Y(centroid) as cy'])
+ assert cur.rowcount > 0, "No rows found for " + row['object']
+
+ for res in cur:
+ db_row = DBRow(nid, res, context)
+ for name, value in zip(row.headings, row.cells):
+ if name in ('name_vector', 'nameaddress_vector'):
+ items = [x.strip() for x in value.split(',')]
+ tokens = analyzer.get_word_token_info(items)
- for res in cur:
- db_row = DBRow(nid, res, context)
- for name, value in zip(row.headings, row.cells):
- if name in ('name_vector', 'nameaddress_vector'):
- items = [x.strip() for x in value.split(',')]
- with context.db.cursor() as subcur:
- subcur.execute(""" SELECT word_id, word_token
- FROM word, (SELECT unnest(%s::TEXT[]) as term) t
- WHERE word_token = make_standard_name(t.term)
- and class is null and country_code is null
- and operator is null
- UNION
- SELECT word_id, word_token
- FROM word, (SELECT unnest(%s::TEXT[]) as term) t
- WHERE word_token = ' ' || make_standard_name(t.term)
- and class is null and country_code is null
- and operator is null
- """,
- (list(filter(lambda x: not x.startswith('#'), items)),
- list(filter(lambda x: x.startswith('#'), items))))
if not exclude:
- assert subcur.rowcount >= len(items), \
- "No word entry found for {}. Entries found: {!s}".format(value, subcur.rowcount)
- for wid in subcur:
- present = wid[0] in res[name]
+ assert len(tokens) >= len(items), \
+ "No word entry found for {}. Entries found: {!s}".format(value, len(tokens))
+ for word, token, wid in tokens:
if exclude:
- assert not present, "Found term for {}/{}: {}".format(row['object'], name, wid[1])
+ assert wid not in res[name], \
+ "Found term for {}/{}: {}".format(nid, name, wid)
else:
- assert present, "Missing term for {}/{}: {}".fromat(row['object'], name, wid[1])
- elif name != 'object':
- assert db_row.contains(name, value), db_row.assert_msg(name, value)
+ assert wid in res[name], \
+ "Missing term for {}/{}: {}".format(nid, name, wid)
+ elif name != 'object':
+ assert db_row.contains(name, value), db_row.assert_msg(name, value)
@then("search_name has no entry for (?P<oid>.*)")
def check_search_name_has_entry(context, oid):
""" Check that there is noentry in the search_name table for the given
objects. IDs are in format '<NRW><osm id>[:<class>]'.
"""
- with context.db.cursor(cursor_factory=psycopg2.extras.DictCursor) as cur:
+ with context.db.cursor() as cur:
NominatimID(oid).row_by_place_id(cur, 'search_name')
assert cur.rowcount == 0, \
def check_location_postcode(context):
""" Check full contents for location_postcode table. Each row represents a table row
and all data must match. Data not present in the expected table, may
- be arbitry. The rows are identified via 'country' and 'postcode' columns.
+ be arbitrary. The rows are identified via 'country' and 'postcode' columns.
All rows must be present as excepted and there must not be additional
rows.
"""
- with context.db.cursor(cursor_factory=psycopg2.extras.DictCursor) as cur:
+ with context.db.cursor() as cur:
cur.execute("SELECT *, ST_AsText(geometry) as geomtxt FROM location_postcode")
assert cur.rowcount == len(list(context.table)), \
- "Postcode table has {} rows, expected {}.".foramt(cur.rowcount, len(list(context.table)))
+ "Postcode table has {} rows, expected {}.".format(cur.rowcount, len(list(context.table)))
results = {}
for row in cur:
for row in context.table:
db_row = results.get((row['country'],row['postcode']))
assert db_row is not None, \
- "Missing row for country '{r['country']}' postcode '{r['postcode']}'.".format(r=row)
+ f"Missing row for country '{row['country']}' postcode '{row['postcode']}'."
db_row.assert_row(row, ('country', 'postcode'))
-@then("word contains(?P<exclude> not)?")
-def check_word_table(context, exclude):
- """ Check the contents of the word table. Each row represents a table row
- and all data must match. Data not present in the expected table, may
- be arbitry. The rows are identified via all given columns.
+@then("there are(?P<exclude> no)? word tokens for postcodes (?P<postcodes>.*)")
+def check_word_table_for_postcodes(context, exclude, postcodes):
+ """ Check that the tokenizer produces postcode tokens for the given
+ postcodes. The postcodes are a comma-separated list of postcodes.
+ Whitespace matters.
"""
- with context.db.cursor(cursor_factory=psycopg2.extras.DictCursor) as cur:
- for row in context.table:
- wheres = ' AND '.join(["{} = %s".format(h) for h in row.headings])
- cur.execute("SELECT * from word WHERE " + wheres, list(row.cells))
- if exclude:
- assert cur.rowcount == 0, "Row still in word table: %s" % '/'.join(values)
- else:
- assert cur.rowcount > 0, "Row not in word table: %s" % '/'.join(values)
+ nctx = context.nominatim
+ tokenizer = tokenizer_factory.get_tokenizer_for_db(nctx.get_test_config())
+ with tokenizer.name_analyzer() as ana:
+ plist = [ana.normalize_postcode(p) for p in postcodes.split(',')]
+
+ plist.sort()
+
+ with context.db.cursor() as cur:
+ if nctx.tokenizer != 'legacy':
+ cur.execute("SELECT word FROM word WHERE type = 'P' and word = any(%s)",
+ (plist,))
+ else:
+ cur.execute("""SELECT word FROM word WHERE word = any(%s)
+ and class = 'place' and type = 'postcode'""",
+ (plist,))
+
+ found = [row['word'] for row in cur]
+ assert len(found) == len(set(found)), f"Duplicate rows for postcodes: {found}"
+
+ if exclude:
+ assert len(found) == 0, f"Unexpected postcodes: {found}"
+ else:
+ assert set(found) == set(plist), \
+ f"Missing postcodes {set(plist) - set(found)}. Found: {found}"
@then("place_addressline contains")
def check_place_addressline(context):
""" Check the contents of the place_addressline table. Each row represents
a table row and all data must match. Data not present in the expected
- table, may be arbitry. The rows are identified via the 'object' column,
+ table, may be arbitrary. The rows are identified via the 'object' column,
representing the addressee and the 'address' column, representing the
address item.
"""
- with context.db.cursor(cursor_factory=psycopg2.extras.DictCursor) as cur:
+ with context.db.cursor() as cur:
for row in context.table:
nid = NominatimID(row['object'])
pid = nid.get_place_id(cur)
""" Check that the place_addressline doesn't contain any entries for the
given addressee/address item pairs.
"""
- with context.db.cursor(cursor_factory=psycopg2.extras.DictCursor) as cur:
+ with context.db.cursor() as cur:
for row in context.table:
pid = NominatimID(row['object']).get_place_id(cur)
- apid = NominatimID(row['address']).get_place_id(cur)
- cur.execute(""" SELECT * FROM place_addressline
- WHERE place_id = %s AND address_place_id = %s""",
- (pid, apid))
- assert cur.rowcount == 0, \
- "Row found for place %s and address %s" % (row['object'], row['address'])
+ apid = NominatimID(row['address']).get_place_id(cur, allow_empty=True)
+ if apid is not None:
+ cur.execute(""" SELECT * FROM place_addressline
+ WHERE place_id = %s AND address_place_id = %s""",
+ (pid, apid))
+ assert cur.rowcount == 0, \
+ "Row found for place %s and address %s" % (row['object'], row['address'])
@then("W(?P<oid>\d+) expands to(?P<neg> no)? interpolation")
def check_location_property_osmline(context, oid, neg):
""" Check that the given way is present in the interpolation table.
"""
- with context.db.cursor(cursor_factory=psycopg2.extras.DictCursor) as cur:
+ with context.db.cursor() as cur:
cur.execute("""SELECT *, ST_AsText(linegeo) as geomtxt
FROM location_property_osmline
WHERE osm_id = %s AND startnumber IS NOT NULL""",
DBRow(oid, res, context).assert_row(row, ('start', 'end'))
- assert not todo
+ assert not todo, f"Unmatched lines in table: {list(context.table[i] for i in todo)}"
+@then("location_property_osmline contains(?P<exact> exactly)?")
+def check_place_contents(context, exact):
+ """ Check contents of the interpolation table. Each row represents a table row
+ and all data must match. Data not present in the expected table, may
+ be arbitrary. The rows are identified via the 'object' column which must
+ have an identifier of the form '<osm id>[:<startnumber>]'. When multiple
+ rows match (for example because 'startnumber' was left out and there are
+ multiple entries for the given OSM object) then all must match. All
+ expected rows are expected to be present with at least one database row.
+ When 'exactly' is given, there must not be additional rows in the database.
+ """
+ with context.db.cursor() as cur:
+ expected_content = set()
+ for row in context.table:
+ if ':' in row['object']:
+ nid, start = row['object'].split(':', 2)
+ start = int(start)
+ else:
+ nid, start = row['object'], None
+
+ query = """SELECT *, ST_AsText(linegeo) as geomtxt,
+ ST_GeometryType(linegeo) as geometrytype
+ FROM location_property_osmline WHERE osm_id=%s"""
+
+ if ':' in row['object']:
+ query += ' and startnumber = %s'
+ params = [int(val) for val in row['object'].split(':', 2)]
+ else:
+ params = (int(row['object']), )
+
+ cur.execute(query, params)
+ assert cur.rowcount > 0, "No rows found for " + row['object']
+
+ for res in cur:
+ if exact:
+ expected_content.add((res['osm_id'], res['startnumber']))
+
+ DBRow(nid, res, context).assert_row(row, ['object'])
+
+ if exact:
+ cur.execute('SELECT osm_id, startnumber from location_property_osmline')
+ actual = set([(r['osm_id'], r['startnumber']) for r in cur])
+ assert expected_content == actual, \
+ f"Missing entries: {expected_content - actual}\n" \
+ f"Not expected in table: {actual - expected_content}"
projects / nominatim.git / blobdiff