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Merge pull request #3487 from lonvia/port-to-psycopg3

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Move importer code to psycopg3
This commit is contained in:
Sarah Hoffmann 2024-07-29 16:52:07 +02:00 committed by GitHub
commit 0add25e335
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GPG Key ID: B5690EEEBB952194
66 changed files with 1142 additions and 1692 deletions
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4
.github/actions/build-nominatim/action.yml vendored
View File

@ -27,9 +27,9 @@ runs:
run: |
sudo apt-get install -y -qq libboost-system-dev libboost-filesystem-dev libexpat1-dev zlib1g-dev libbz2-dev libpq-dev libproj-dev libicu-dev liblua${LUA_VERSION}-dev lua${LUA_VERSION} lua-dkjson nlohmann-json3-dev libspatialite7 libsqlite3-mod-spatialite
if [ "$FLAVOUR" == "oldstuff" ]; then
pip3 install MarkupSafe==2.0.1 python-dotenv psycopg2==2.7.7 jinja2==2.8 psutil==5.4.2 pyicu==2.9 osmium PyYAML==5.1 sqlalchemy==1.4.31 datrie asyncpg aiosqlite
pip3 install MarkupSafe==2.0.1 python-dotenv jinja2==2.8 psutil==5.4.2 pyicu==2.9 osmium PyYAML==5.1 sqlalchemy==1.4.31 psycopg==3.1.7 datrie asyncpg aiosqlite
else
sudo apt-get install -y -qq python3-icu python3-datrie python3-pyosmium python3-jinja2 python3-psutil python3-psycopg2 python3-dotenv python3-yaml
sudo apt-get install -y -qq python3-icu python3-datrie python3-pyosmium python3-jinja2 python3-psutil python3-dotenv python3-yaml
pip3 install sqlalchemy psycopg aiosqlite
fi
shell: bash

10
docs/admin/Installation.md
View File

@ -36,19 +36,15 @@ For running Nominatim:
Furthermore the following Python libraries are required:
* [Psycopg2](https://www.psycopg.org) (2.7+)
* [Psycopg3](https://www.psycopg.org)
* [Python Dotenv](https://github.com/theskumar/python-dotenv)
* [psutil](https://github.com/giampaolo/psutil)
* [Jinja2](https://palletsprojects.com/p/jinja/)
* [SQLAlchemy](https://www.sqlalchemy.org/) (1.4.31+ with greenlet support)
* one of
* [psycopg3](https://www.psycopg.org)
* [asyncpg](https://magicstack.github.io/asyncpg) (0.8+)
* [PyICU](https://pypi.org/project/PyICU/)
* [PyYaml](https://pyyaml.org/) (5.1+)
* [datrie](https://github.com/pytries/datrie)
These will be installed automatically, when using pip installation.
These will be installed automatically when using pip installation.
When using legacy CMake-based installation:
@ -69,6 +65,8 @@ For running continuous updates:
For running the Python frontend:
* [SQLAlchemy](https://www.sqlalchemy.org/) (1.4.31+ with greenlet support)
* [asyncpg](https://magicstack.github.io/asyncpg) (0.8+, only when using SQLAlchemy < 2.0)
* one of the following web frameworks:
* [falcon](https://falconframework.org/) (3.0+)
* [starlette](https://www.starlette.io/)

2
lib-sql/indices.sql
View File

@ -31,6 +31,7 @@ CREATE INDEX IF NOT EXISTS idx_placex_geometry ON placex
-- Index is needed during import but can be dropped as soon as a full
-- geometry index is in place. The partial index is almost as big as the full
-- index.
---
DROP INDEX IF EXISTS idx_placex_geometry_lower_rank_ways;
---
CREATE INDEX IF NOT EXISTS idx_placex_geometry_reverse_lookupPolygon
@ -60,7 +61,6 @@ CREATE INDEX IF NOT EXISTS idx_postcode_postcode
---
DROP INDEX IF EXISTS idx_placex_geometry_address_area_candidates;
DROP INDEX IF EXISTS idx_placex_geometry_buildings;
DROP INDEX IF EXISTS idx_placex_geometry_lower_rank_ways;
DROP INDEX IF EXISTS idx_placex_wikidata;
DROP INDEX IF EXISTS idx_placex_rank_address_sector;
DROP INDEX IF EXISTS idx_placex_rank_boundaries_sector;

2
packaging/nominatim-db/pyproject.toml
View File

@ -15,7 +15,7 @@ classifiers = [
"Operating System :: OS Independent",
]
dependencies = [
"psycopg2-binary",
"psycopg",
"python-dotenv",
"jinja2",
"pyYAML>=5.1",

14
src/nominatim_api/core.py
View File

@ -7,7 +7,7 @@
"""
Implementation of classes for API access via libraries.
"""
from typing import Mapping, Optional, Any, AsyncIterator, Dict, Sequence, List, Tuple
from typing import Mapping, Optional, Any, AsyncIterator, Dict, Sequence, List, Tuple, cast
import asyncio
import sys
import contextlib
@ -107,16 +107,16 @@ class NominatimAPIAsync: #pylint: disable=too-many-instance-attributes
raise UsageError(f"SQlite database '{params.get('dbname')}' does not exist.")
else:
dsn = self.config.get_database_params()
query = {k: v for k, v in dsn.items()
query = {k: str(v) for k, v in dsn.items()
if k not in ('user', 'password', 'dbname', 'host', 'port')}
dburl = sa.engine.URL.create(
f'postgresql+{PGCORE_LIB}',
database=dsn.get('dbname'),
username=dsn.get('user'),
password=dsn.get('password'),
host=dsn.get('host'),
port=int(dsn['port']) if 'port' in dsn else None,
database=cast(str, dsn.get('dbname')),
username=cast(str, dsn.get('user')),
password=cast(str, dsn.get('password')),
host=cast(str, dsn.get('host')),
port=int(cast(str, dsn['port'])) if 'port' in dsn else None,
query=query)
engine = sa_asyncio.create_async_engine(dburl, **extra_args)

37
src/nominatim_db/cli.py
View File

@ -14,6 +14,7 @@ import logging
import os
import sys
import argparse
import asyncio
from pathlib import Path
from .config import Configuration
@ -170,24 +171,32 @@ class AdminServe:
raise UsageError("PHP frontend not configured.")
run_php_server(args.server, args.project_dir / 'website')
else:
import uvicorn # pylint: disable=import-outside-toplevel
server_info = args.server.split(':', 1)
host = server_info[0]
if len(server_info) > 1:
if not server_info[1].isdigit():
raise UsageError('Invalid format for --server parameter. Use <host>:<port>')
port = int(server_info[1])
else:
port = 8088
server_module = importlib.import_module(f'nominatim_api.server.{args.engine}.server')
app = server_module.get_application(args.project_dir)
uvicorn.run(app, host=host, port=port)
asyncio.run(self.run_uvicorn(args))
return 0
async def run_uvicorn(self, args: NominatimArgs) -> None:
import uvicorn # pylint: disable=import-outside-toplevel
server_info = args.server.split(':', 1)
host = server_info[0]
if len(server_info) > 1:
if not server_info[1].isdigit():
raise UsageError('Invalid format for --server parameter. Use <host>:<port>')
port = int(server_info[1])
else:
port = 8088
server_module = importlib.import_module(f'nominatim_api.server.{args.engine}.server')
app = server_module.get_application(args.project_dir)
config = uvicorn.Config(app, host=host, port=port)
server = uvicorn.Server(config)
await server.serve()
def get_set_parser() -> CommandlineParser:
"""\
Initializes the parser and adds various subcommands for

23
src/nominatim_db/clicmd/add_data.py
View File

@ -10,6 +10,7 @@ Implementation of the 'add-data' subcommand.
from typing import cast
import argparse
import logging
import asyncio
import psutil
@ -64,15 +65,10 @@ class UpdateAddData:
def run(self, args: NominatimArgs) -> int:
from ..tokenizer import factory as tokenizer_factory
from ..tools import tiger_data, add_osm_data
from ..tools import add_osm_data
if args.tiger_data:
tokenizer = tokenizer_factory.get_tokenizer_for_db(args.config)
return tiger_data.add_tiger_data(args.tiger_data,
args.config,
args.threads or psutil.cpu_count() or 1,
tokenizer)
return asyncio.run(self._add_tiger_data(args))
osm2pgsql_params = args.osm2pgsql_options(default_cache=1000, default_threads=1)
if args.file or args.diff:
@ -99,3 +95,16 @@ class UpdateAddData:
osm2pgsql_params)
return 0
async def _add_tiger_data(self, args: NominatimArgs) -> int:
from ..tokenizer import factory as tokenizer_factory
from ..tools import tiger_data
assert args.tiger_data
tokenizer = tokenizer_factory.get_tokenizer_for_db(args.config)
return await tiger_data.add_tiger_data(args.tiger_data,
args.config,
args.threads or psutil.cpu_count() or 1,
tokenizer)

4
src/nominatim_db/clicmd/admin.py
View File

@ -12,7 +12,7 @@ import argparse
import random
from ..errors import UsageError
from ..db.connection import connect
from ..db.connection import connect, table_exists
from .args import NominatimArgs
# Do not repeat documentation of subcommand classes.
@ -115,7 +115,7 @@ class AdminFuncs:
tokenizer = tokenizer_factory.get_tokenizer_for_db(args.config)
with connect(args.config.get_libpq_dsn()) as conn:
if conn.table_exists('search_name'):
if table_exists(conn, 'search_name'):
words = tokenizer.most_frequent_words(conn, 1000)
else:
words = []

34
src/nominatim_db/clicmd/index.py
View File

@ -8,6 +8,7 @@
Implementation of the 'index' subcommand.
"""
import argparse
import asyncio
import psutil
@ -44,19 +45,7 @@ class UpdateIndex:
def run(self, args: NominatimArgs) -> int:
from ..indexer.indexer import Indexer
from ..tokenizer import factory as tokenizer_factory
tokenizer = tokenizer_factory.get_tokenizer_for_db(args.config)
indexer = Indexer(args.config.get_libpq_dsn(), tokenizer,
args.threads or psutil.cpu_count() or 1)
if not args.no_boundaries:
indexer.index_boundaries(args.minrank, args.maxrank)
if not args.boundaries_only:
indexer.index_by_rank(args.minrank, args.maxrank)
indexer.index_postcodes()
asyncio.run(self._do_index(args))
if not args.no_boundaries and not args.boundaries_only \
and args.minrank == 0 and args.maxrank == 30:
@ -64,3 +53,22 @@ class UpdateIndex:
status.set_indexed(conn, True)
return 0
async def _do_index(self, args: NominatimArgs) -> None:
from ..tokenizer import factory as tokenizer_factory
tokenizer = tokenizer_factory.get_tokenizer_for_db(args.config)
from ..indexer.indexer import Indexer
indexer = Indexer(args.config.get_libpq_dsn(), tokenizer,
args.threads or psutil.cpu_count() or 1)
has_pending = True # run at least once
while has_pending:
if not args.no_boundaries:
await indexer.index_boundaries(args.minrank, args.maxrank)
if not args.boundaries_only:
await indexer.index_by_rank(args.minrank, args.maxrank)
await indexer.index_postcodes()
has_pending = indexer.has_pending()

7
src/nominatim_db/clicmd/refresh.py
View File

@ -11,9 +11,10 @@ from typing import Tuple, Optional
import argparse
import logging
from pathlib import Path
import asyncio
from ..config import Configuration
from ..db.connection import connect
from ..db.connection import connect, table_exists
from ..tokenizer.base import AbstractTokenizer
from .args import NominatimArgs
@ -99,7 +100,7 @@ class UpdateRefresh:
args.project_dir, tokenizer)
indexer = Indexer(args.config.get_libpq_dsn(), tokenizer,
args.threads or 1)
indexer.index_postcodes()
asyncio.run(indexer.index_postcodes())
else:
LOG.error("The place table doesn't exist. "
"Postcode updates on a frozen database is not possible.")
@ -124,7 +125,7 @@ class UpdateRefresh:
with connect(args.config.get_libpq_dsn()) as conn:
# If the table did not exist before, then the importance code
# needs to be enabled.
if not conn.table_exists('secondary_importance'):
if not table_exists(conn, 'secondary_importance'):
args.functions = True
LOG.warning('Import secondary importance raster data from %s', args.project_dir)

10
src/nominatim_db/clicmd/replication.py
View File

@ -13,6 +13,7 @@ import datetime as dt
import logging
import socket
import time
import asyncio
from ..db import status
from ..db.connection import connect
@ -123,7 +124,7 @@ class UpdateReplication:
return update_interval
def _update(self, args: NominatimArgs) -> None:
async def _update(self, args: NominatimArgs) -> None:
# pylint: disable=too-many-locals
from ..tools import replication
from ..indexer.indexer import Indexer
@ -161,7 +162,7 @@ class UpdateReplication:
if state is not replication.UpdateState.NO_CHANGES and args.do_index:
index_start = dt.datetime.now(dt.timezone.utc)
indexer.index_full(analyse=False)
await indexer.index_full(analyse=False)
with connect(dsn) as conn:
status.set_indexed(conn, True)
@ -172,8 +173,7 @@ class UpdateReplication:
if state is replication.UpdateState.NO_CHANGES and \
args.catch_up or update_interval > 40*60:
while indexer.has_pending():
indexer.index_full(analyse=False)
await indexer.index_full(analyse=False)
if LOG.isEnabledFor(logging.WARNING):
assert batchdate is not None
@ -196,5 +196,5 @@ class UpdateReplication:
if args.check_for_updates:
return self._check_for_updates(args)
self._update(args)
asyncio.run(self._update(args))
return 0

102
src/nominatim_db/clicmd/setup.py
View File

@ -11,6 +11,7 @@ from typing import Optional
import argparse
import logging
from pathlib import Path
import asyncio
import psutil
@ -71,14 +72,6 @@ class SetupAll:
def run(self, args: NominatimArgs) -> int: # pylint: disable=too-many-statements, too-many-branches
from ..data import country_info
from ..tools import database_import, refresh, postcodes, freeze
from ..indexer.indexer import Indexer
num_threads = args.threads or psutil.cpu_count() or 1
country_info.setup_country_config(args.config)
if args.osm_file is None and args.continue_at is None and not args.prepare_database:
raise UsageError("No input files (use --osm-file).")
@ -90,6 +83,16 @@ class SetupAll:
"Cannot use --continue and --prepare-database together."
)
return asyncio.run(self.async_run(args))
async def async_run(self, args: NominatimArgs) -> int:
from ..data import country_info
from ..tools import database_import, refresh, postcodes, freeze
from ..indexer.indexer import Indexer
num_threads = args.threads or psutil.cpu_count() or 1
country_info.setup_country_config(args.config)
if args.prepare_database or args.continue_at is None:
LOG.warning('Creating database')
@ -99,39 +102,7 @@ class SetupAll:
return 0
if args.continue_at in (None, 'import-from-file'):
files = args.get_osm_file_list()
if not files:
raise UsageError("No input files (use --osm-file).")
if args.continue_at in ('import-from-file', None):
# Check if the correct plugins are installed
database_import.check_existing_database_plugins(args.config.get_libpq_dsn())
LOG.warning('Setting up country tables')
country_info.setup_country_tables(args.config.get_libpq_dsn(),
args.config.lib_dir.data,
args.no_partitions)
LOG.warning('Importing OSM data file')
database_import.import_osm_data(files,
args.osm2pgsql_options(0, 1),
drop=args.no_updates,
ignore_errors=args.ignore_errors)
LOG.warning('Importing wikipedia importance data')
data_path = Path(args.config.WIKIPEDIA_DATA_PATH or args.project_dir)
if refresh.import_wikipedia_articles(args.config.get_libpq_dsn(),
data_path) > 0:
LOG.error('Wikipedia importance dump file not found. '
'Calculating importance values of locations will not '
'use Wikipedia importance data.')
LOG.warning('Importing secondary importance raster data')
if refresh.import_secondary_importance(args.config.get_libpq_dsn(),
args.project_dir) != 0:
LOG.error('Secondary importance file not imported. '
'Falling back to default ranking.')
self._setup_tables(args.config, args.reverse_only)
self._base_import(args)
if args.continue_at in ('import-from-file', 'load-data', None):
LOG.warning('Initialise tables')
@ -139,7 +110,7 @@ class SetupAll:
database_import.truncate_data_tables(conn)
LOG.warning('Load data into placex table')
database_import.load_data(args.config.get_libpq_dsn(), num_threads)
await database_import.load_data(args.config.get_libpq_dsn(), num_threads)
LOG.warning("Setting up tokenizer")
tokenizer = self._get_tokenizer(args.continue_at, args.config)
@ -153,13 +124,13 @@ class SetupAll:
('import-from-file', 'load-data', 'indexing', None):
LOG.warning('Indexing places')
indexer = Indexer(args.config.get_libpq_dsn(), tokenizer, num_threads)
indexer.index_full(analyse=not args.index_noanalyse)
await indexer.index_full(analyse=not args.index_noanalyse)
LOG.warning('Post-process tables')
with connect(args.config.get_libpq_dsn()) as conn:
database_import.create_search_indices(conn, args.config,
drop=args.no_updates,
threads=num_threads)
await database_import.create_search_indices(conn, args.config,
drop=args.no_updates,
threads=num_threads)
LOG.warning('Create search index for default country names.')
country_info.create_country_names(conn, tokenizer,
args.config.get_str_list('LANGUAGES'))
@ -180,6 +151,45 @@ class SetupAll:
return 0
def _base_import(self, args: NominatimArgs) -> None:
from ..tools import database_import, refresh
from ..data import country_info
files = args.get_osm_file_list()
if not files:
raise UsageError("No input files (use --osm-file).")
if args.continue_at in ('import-from-file', None):
# Check if the correct plugins are installed
database_import.check_existing_database_plugins(args.config.get_libpq_dsn())
LOG.warning('Setting up country tables')
country_info.setup_country_tables(args.config.get_libpq_dsn(),
args.config.lib_dir.data,
args.no_partitions)
LOG.warning('Importing OSM data file')
database_import.import_osm_data(files,
args.osm2pgsql_options(0, 1),
drop=args.no_updates,
ignore_errors=args.ignore_errors)
LOG.warning('Importing wikipedia importance data')
data_path = Path(args.config.WIKIPEDIA_DATA_PATH or args.project_dir)
if refresh.import_wikipedia_articles(args.config.get_libpq_dsn(),
data_path) > 0:
LOG.error('Wikipedia importance dump file not found. '
'Calculating importance values of locations will not '
'use Wikipedia importance data.')
LOG.warning('Importing secondary importance raster data')
if refresh.import_secondary_importance(args.config.get_libpq_dsn(),
args.project_dir) != 0:
LOG.error('Secondary importance file not imported. '
'Falling back to default ranking.')
self._setup_tables(args.config, args.reverse_only)
def _setup_tables(self, config: Configuration, reverse_only: bool) -> None:
""" Set up the basic database layout: tables, indexes and functions.
"""

11
src/nominatim_db/config.py
View File

@ -7,7 +7,7 @@
"""
Nominatim configuration accessor.
"""
from typing import Dict, Any, List, Mapping, Optional
from typing import Union, Dict, Any, List, Mapping, Optional
import importlib.util
import logging
import os
@ -18,10 +18,7 @@ import yaml
from dotenv import dotenv_values
try:
from psycopg2.extensions import parse_dsn
except ModuleNotFoundError:
from psycopg.conninfo import conninfo_to_dict as parse_dsn # type: ignore[assignment]
from psycopg.conninfo import conninfo_to_dict
from .typing import StrPath
from .errors import UsageError
@ -198,7 +195,7 @@ class Configuration:
return dsn
def get_database_params(self) -> Mapping[str, str]:
def get_database_params(self) -> Mapping[str, Union[str, int, None]]:
""" Get the configured parameters for the database connection
as a mapping.
"""
@ -207,7 +204,7 @@ class Configuration:
if dsn.startswith('pgsql:'):
return dict((p.split('=', 1) for p in dsn[6:].split(';')))
return parse_dsn(dsn)
return conninfo_to_dict(dsn)
def get_import_style_file(self) -> Path:

12
src/nominatim_db/data/country_info.py
View File

@ -9,10 +9,9 @@ Functions for importing and managing static country information.
"""
from typing import Dict, Any, Iterable, Tuple, Optional, Container, overload
from pathlib import Path
import psycopg2.extras
from ..db import utils as db_utils
from ..db.connection import connect, Connection
from ..db.connection import connect, Connection, register_hstore
from ..errors import UsageError
from ..config import Configuration
from ..tokenizer.base import AbstractTokenizer
@ -129,8 +128,8 @@ def setup_country_tables(dsn: str, sql_dir: Path, ignore_partitions: bool = Fals
params.append((ccode, props['names'], lang, partition))
with connect(dsn) as conn:
register_hstore(conn)
with conn.cursor() as cur:
psycopg2.extras.register_hstore(cur)
cur.execute(
""" CREATE TABLE public.country_name (
country_code character varying(2),
@ -139,9 +138,10 @@ def setup_country_tables(dsn: str, sql_dir: Path, ignore_partitions: bool = Fals
country_default_language_code text,
partition integer
); """)
cur.execute_values(
cur.executemany(
""" INSERT INTO public.country_name
(country_code, name, country_default_language_code, partition) VALUES %s
(country_code, name, country_default_language_code, partition)
VALUES (%s, %s, %s, %s)
""", params)
conn.commit()
@ -157,8 +157,8 @@ def create_country_names(conn: Connection, tokenizer: AbstractTokenizer,
return ':' not in key or not languages or \
key[key.index(':') + 1:] in languages
register_hstore(conn)
with conn.cursor() as cur:
psycopg2.extras.register_hstore(cur)
cur.execute("""SELECT country_code, name FROM country_name
WHERE country_code is not null""")

236
src/nominatim_db/db/async_connection.py
View File

@ -1,236 +0,0 @@
# 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.
""" Non-blocking database connections.
"""
from typing import Callable, Any, Optional, Iterator, Sequence
import logging
import select
import time
import psycopg2
from psycopg2.extras import wait_select
# psycopg2 emits different exceptions pre and post 2.8. Detect if the new error
# module is available and adapt the error handling accordingly.
try:
import psycopg2.errors # pylint: disable=no-name-in-module,import-error
__has_psycopg2_errors__ = True
except ImportError:
__has_psycopg2_errors__ = False
from ..typing import T_cursor, Query
LOG = logging.getLogger()
class DeadlockHandler:
""" Context manager that catches deadlock exceptions and calls
the given handler function. All other exceptions are passed on
normally.
"""
def __init__(self, handler: Callable[[], None], ignore_sql_errors: bool = False) -> None:
self.handler = handler
self.ignore_sql_errors = ignore_sql_errors
def __enter__(self) -> 'DeadlockHandler':
return self
def __exit__(self, exc_type: Any, exc_value: Any, traceback: Any) -> bool:
if __has_psycopg2_errors__:
if exc_type == psycopg2.errors.DeadlockDetected: # pylint: disable=E1101
self.handler()
return True
elif exc_type == psycopg2.extensions.TransactionRollbackError \
and exc_value.pgcode == '40P01':
self.handler()
return True
if self.ignore_sql_errors and isinstance(exc_value, psycopg2.Error):
LOG.info("SQL error ignored: %s", exc_value)
return True
return False
class DBConnection:
""" A single non-blocking database connection.
"""
def __init__(self, dsn: str,
cursor_factory: Optional[Callable[..., T_cursor]] = None,
ignore_sql_errors: bool = False) -> None:
self.dsn = dsn
self.current_query: Optional[Query] = None
self.current_params: Optional[Sequence[Any]] = None
self.ignore_sql_errors = ignore_sql_errors
self.conn: Optional['psycopg2._psycopg.connection'] = None
self.cursor: Optional['psycopg2._psycopg.cursor'] = None
self.connect(cursor_factory=cursor_factory)
def close(self) -> None:
""" Close all open connections. Does not wait for pending requests.
"""
if self.conn is not None:
if self.cursor is not None:
self.cursor.close()
self.cursor = None
self.conn.close()
self.conn = None
def connect(self, cursor_factory: Optional[Callable[..., T_cursor]] = None) -> None:
""" (Re)connect to the database. Creates an asynchronous connection
with JIT and parallel processing disabled. If a connection was
already open, it is closed and a new connection established.
The caller must ensure that no query is pending before reconnecting.
"""
self.close()
# Use a dict to hand in the parameters because async is a reserved
# word in Python3.
self.conn = psycopg2.connect(**{'dsn': self.dsn, 'async': True}) # type: ignore
assert self.conn
self.wait()
if cursor_factory is not None:
self.cursor = self.conn.cursor(cursor_factory=cursor_factory)
else:
self.cursor = self.conn.cursor()
# Disable JIT and parallel workers as they are known to cause problems.
# Update pg_settings instead of using SET because it does not yield
# errors on older versions of Postgres where the settings are not
# implemented.
self.perform(
""" UPDATE pg_settings SET setting = -1 WHERE name = 'jit_above_cost';
UPDATE pg_settings SET setting = 0
WHERE name = 'max_parallel_workers_per_gather';""")
self.wait()
def _deadlock_handler(self) -> None:
LOG.info("Deadlock detected (params = %s), retry.", str(self.current_params))
assert self.cursor is not None
assert self.current_query is not None
assert self.current_params is not None
self.cursor.execute(self.current_query, self.current_params)
def wait(self) -> None:
""" Block until any pending operation is done.
"""
while True:
with DeadlockHandler(self._deadlock_handler, self.ignore_sql_errors):
wait_select(self.conn)
self.current_query = None
return
def perform(self, sql: Query, args: Optional[Sequence[Any]] = None) -> None:
""" Send SQL query to the server. Returns immediately without
blocking.
"""
assert self.cursor is not None
self.current_query = sql
self.current_params = args
self.cursor.execute(sql, args)
def fileno(self) -> int:
""" File descriptor to wait for. (Makes this class select()able.)
"""
assert self.conn is not None
return self.conn.fileno()
def is_done(self) -> bool:
""" Check if the connection is available for a new query.
Also checks if the previous query has run into a deadlock.
If so, then the previous query is repeated.
"""
assert self.conn is not None
if self.current_query is None:
return True
with DeadlockHandler(self._deadlock_handler, self.ignore_sql_errors):
if self.conn.poll() == psycopg2.extensions.POLL_OK:
self.current_query = None
return True
return False
class WorkerPool:
""" A pool of asynchronous database connections.
The pool may be used as a context manager.
"""
REOPEN_CONNECTIONS_AFTER = 100000
def __init__(self, dsn: str, pool_size: int, ignore_sql_errors: bool = False) -> None:
self.threads = [DBConnection(dsn, ignore_sql_errors=ignore_sql_errors)
for _ in range(pool_size)]
self.free_workers = self._yield_free_worker()
self.wait_time = 0.0
def finish_all(self) -> None:
""" Wait for all connection to finish.
"""
for thread in self.threads:
while not thread.is_done():
thread.wait()
self.free_workers = self._yield_free_worker()
def close(self) -> None:
""" Close all connections and clear the pool.
"""
for thread in self.threads:
thread.close()
self.threads = []
self.free_workers = iter([])
def next_free_worker(self) -> DBConnection:
""" Get the next free connection.
"""
return next(self.free_workers)
def _yield_free_worker(self) -> Iterator[DBConnection]:
ready = self.threads
command_stat = 0
while True:
for thread in ready:
if thread.is_done():
command_stat += 1
yield thread
if command_stat > self.REOPEN_CONNECTIONS_AFTER:
self._reconnect_threads()
ready = self.threads
command_stat = 0
else:
tstart = time.time()
_, ready, _ = select.select([], self.threads, [])
self.wait_time += time.time() - tstart
def _reconnect_threads(self) -> None:
for thread in self.threads:
while not thread.is_done():
thread.wait()
thread.connect()
def __enter__(self) -> 'WorkerPool':
return self
def __exit__(self, exc_type: Any, exc_value: Any, traceback: Any) -> None:
self.finish_all()
self.close()

272
src/nominatim_db/db/connection.py
View File

@ -7,200 +7,136 @@
"""
Specialised connection and cursor functions.
"""
from typing import Optional, Any, Callable, ContextManager, Dict, cast, overload, Tuple, Iterable
import contextlib
from typing import Optional, Any, Dict, Tuple
import logging
import os
import psycopg2
import psycopg2.extensions
import psycopg2.extras
from psycopg2 import sql as pysql
import psycopg
import psycopg.types.hstore
from psycopg import sql as pysql
from ..typing import SysEnv, Query, T_cursor
from ..typing import SysEnv
from ..errors import UsageError
LOG = logging.getLogger()
class Cursor(psycopg2.extras.DictCursor):
""" A cursor returning dict-like objects and providing specialised
execution functions.
Cursor = psycopg.Cursor[Any]
Connection = psycopg.Connection[Any]
def execute_scalar(conn: Connection, sql: psycopg.abc.Query, args: Any = None) -> Any:
""" Execute query that returns a single value. The value is returned.
If the query yields more than one row, a ValueError is raised.
"""
# pylint: disable=arguments-renamed,arguments-differ
def execute(self, query: Query, args: Any = None) -> None:
""" Query execution that logs the SQL query when debugging is enabled.
"""
if LOG.isEnabledFor(logging.DEBUG):
LOG.debug(self.mogrify(query, args).decode('utf-8'))
with conn.cursor(row_factory=psycopg.rows.tuple_row) as cur:
cur.execute(sql, args)
super().execute(query, args)
def execute_values(self, sql: Query, argslist: Iterable[Tuple[Any, ...]],
template: Optional[Query] = None) -> None:
""" Wrapper for the psycopg2 convenience function to execute
SQL for a list of values.
"""
LOG.debug("SQL execute_values(%s, %s)", sql, argslist)
psycopg2.extras.execute_values(self, sql, argslist, template=template)
def scalar(self, sql: Query, args: Any = None) -> Any:
""" Execute query that returns a single value. The value is returned.
If the query yields more than one row, a ValueError is raised.
"""
self.execute(sql, args)
if self.rowcount != 1:
if cur.rowcount != 1:
raise RuntimeError("Query did not return a single row.")
result = self.fetchone()
assert result is not None
result = cur.fetchone()
return result[0]
assert result is not None
return result[0]
def drop_table(self, name: str, if_exists: bool = True, cascade: bool = False) -> None:
""" Drop the table with the given name.
Set `if_exists` to False if a non-existent table should raise
an exception instead of just being ignored. If 'cascade' is set
to True then all dependent tables are deleted as well.
"""
sql = 'DROP TABLE '
if if_exists:
sql += 'IF EXISTS '
sql += '{}'
if cascade:
sql += ' CASCADE'
self.execute(pysql.SQL(sql).format(pysql.Identifier(name)))
class Connection(psycopg2.extensions.connection):
""" A connection that provides the specialised cursor by default and
adds convenience functions for administrating the database.
def table_exists(conn: Connection, table: str) -> bool:
""" Check that a table with the given name exists in the database.
"""
@overload # type: ignore[override]
def cursor(self) -> Cursor:
...
@overload
def cursor(self, name: str) -> Cursor:
...
@overload
def cursor(self, cursor_factory: Callable[..., T_cursor]) -> T_cursor:
...
def cursor(self, cursor_factory = Cursor, **kwargs): # type: ignore
""" Return a new cursor. By default the specialised cursor is returned.
"""
return super().cursor(cursor_factory=cursor_factory, **kwargs)
num = execute_scalar(conn,
"""SELECT count(*) FROM pg_tables
WHERE tablename = %s and schemaname = 'public'""", (table, ))
return num == 1 if isinstance(num, int) else False
def table_exists(self, table: str) -> bool:
""" Check that a table with the given name exists in the database.
"""
with self.cursor() as cur:
num = cur.scalar("""SELECT count(*) FROM pg_tables
WHERE tablename = %s and schemaname = 'public'""", (table, ))
return num == 1 if isinstance(num, int) else False
def table_has_column(conn: Connection, table: str, column: str) -> bool:
""" Check if the table 'table' exists and has a column with name 'column'.
"""
has_column = execute_scalar(conn,
"""SELECT count(*) FROM information_schema.columns
WHERE table_name = %s and column_name = %s""",
(table, column))
return has_column > 0 if isinstance(has_column, int) else False
def table_has_column(self, table: str, column: str) -> bool:
""" Check if the table 'table' exists and has a column with name 'column'.
"""
with self.cursor() as cur:
has_column = cur.scalar("""SELECT count(*) FROM information_schema.columns
WHERE table_name = %s
and column_name = %s""",
(table, column))
return has_column > 0 if isinstance(has_column, int) else False
def index_exists(conn: Connection, index: str, table: Optional[str] = None) -> bool:
""" Check that an index with the given name exists in the database.
If table is not None then the index must relate to the given
table.
"""
with conn.cursor() as cur:
cur.execute("""SELECT tablename FROM pg_indexes
WHERE indexname = %s and schemaname = 'public'""", (index, ))
if cur.rowcount == 0:
return False
def index_exists(self, index: str, table: Optional[str] = None) -> bool:
""" Check that an index with the given name exists in the database.
If table is not None then the index must relate to the given
table.
"""
with self.cursor() as cur:
cur.execute("""SELECT tablename FROM pg_indexes
WHERE indexname = %s and schemaname = 'public'""", (index, ))
if cur.rowcount == 0:
if table is not None:
row = cur.fetchone()
if row is None or not isinstance(row[0], str):
return False
return row[0] == table
if table is not None:
row = cur.fetchone()
if row is None or not isinstance(row[0], str):
return False
return row[0] == table
return True
return True
def drop_table(self, name: str, if_exists: bool = True, cascade: bool = False) -> None:
""" Drop the table with the given name.
Set `if_exists` to False if a non-existent table should raise
an exception instead of just being ignored.
"""
with self.cursor() as cur:
cur.drop_table(name, if_exists, cascade)
self.commit()
def server_version_tuple(self) -> Tuple[int, int]:
""" Return the server version as a tuple of (major, minor).
Converts correctly for pre-10 and post-10 PostgreSQL versions.
"""
version = self.server_version
if version < 100000:
return (int(version / 10000), int((version % 10000) / 100))
return (int(version / 10000), version % 10000)
def postgis_version_tuple(self) -> Tuple[int, int]:
""" Return the postgis version installed in the database as a
tuple of (major, minor). Assumes that the PostGIS extension
has been installed already.
"""
with self.cursor() as cur:
version = cur.scalar('SELECT postgis_lib_version()')
version_parts = version.split('.')
if len(version_parts) < 2:
raise UsageError(f"Error fetching Postgis version. Bad format: {version}")
return (int(version_parts[0]), int(version_parts[1]))
def extension_loaded(self, extension_name: str) -> bool:
""" Return True if the hstore extension is loaded in the database.
"""
with self.cursor() as cur:
cur.execute('SELECT extname FROM pg_extension WHERE extname = %s', (extension_name, ))
return cur.rowcount > 0
class ConnectionContext(ContextManager[Connection]):
""" Context manager of the connection that also provides direct access
to the underlying connection.
def drop_tables(conn: Connection, *names: str,
if_exists: bool = True, cascade: bool = False) -> None:
""" Drop one or more tables with the given names.
Set `if_exists` to False if a non-existent table should raise
an exception instead of just being ignored. `cascade` will cause
depended objects to be dropped as well.
The caller needs to take care of committing the change.
"""
connection: Connection
sql = pysql.SQL('DROP TABLE%s{}%s' % (
' IF EXISTS ' if if_exists else ' ',
' CASCADE' if cascade else ''))
def connect(dsn: str) -> ConnectionContext:
with conn.cursor() as cur:
for name in names:
cur.execute(sql.format(pysql.Identifier(name)))
def server_version_tuple(conn: Connection) -> Tuple[int, int]:
""" Return the server version as a tuple of (major, minor).
Converts correctly for pre-10 and post-10 PostgreSQL versions.
"""
version = conn.info.server_version
if version < 100000:
return (int(version / 10000), int((version % 10000) / 100))
return (int(version / 10000), version % 10000)
def postgis_version_tuple(conn: Connection) -> Tuple[int, int]:
""" Return the postgis version installed in the database as a
tuple of (major, minor). Assumes that the PostGIS extension
has been installed already.
"""
version = execute_scalar(conn, 'SELECT postgis_lib_version()')
version_parts = version.split('.')
if len(version_parts) < 2:
raise UsageError(f"Error fetching Postgis version. Bad format: {version}")
return (int(version_parts[0]), int(version_parts[1]))
def register_hstore(conn: Connection) -> None:
""" Register the hstore type with psycopg for the connection.
"""
info = psycopg.types.TypeInfo.fetch(conn, "hstore")
if info is None:
raise RuntimeError('Hstore extension is requested but not installed.')
psycopg.types.hstore.register_hstore(info, conn)
def connect(dsn: str, **kwargs: Any) -> Connection:
""" Open a connection to the database using the specialised connection
factory. The returned object may be used in conjunction with 'with'.
When used outside a context manager, use the `connection` attribute
to get the connection.
"""
try:
conn = psycopg2.connect(dsn, connection_factory=Connection)
ctxmgr = cast(ConnectionContext, contextlib.closing(conn))
ctxmgr.connection = conn
return ctxmgr
except psycopg2.OperationalError as err:
return psycopg.connect(dsn, row_factory=psycopg.rows.namedtuple_row, **kwargs)
except psycopg.OperationalError as err:
raise UsageError(f"Cannot connect to database: {err}") from err
@ -245,10 +181,18 @@ def get_pg_env(dsn: str,
"""
env = dict(base_env if base_env is not None else os.environ)
for param, value in psycopg2.extensions.parse_dsn(dsn).items():
for param, value in psycopg.conninfo.conninfo_to_dict(dsn).items():
if param in _PG_CONNECTION_STRINGS:
env[_PG_CONNECTION_STRINGS[param]] = value
env[_PG_CONNECTION_STRINGS[param]] = str(value)
else:
LOG.error("Unknown connection parameter '%s' ignored.", param)
return env
async def run_async_query(dsn: str, query: psycopg.abc.Query) -> None:
""" Open a connection to the database and run a single query
asynchronously.
"""
async with await psycopg.AsyncConnection.connect(dsn) as aconn:
await aconn.execute(query)

4
src/nominatim_db/db/properties.py
View File

@ -9,7 +9,7 @@ Query and access functions for the in-database property table.
"""
from typing import Optional, cast
from .connection import Connection
from .connection import Connection, table_exists
def set_property(conn: Connection, name: str, value: str) -> None:
""" Add or replace the property with the given name.
@ -31,7 +31,7 @@ def get_property(conn: Connection, name: str) -> Optional[str]:
""" Return the current value of the given property or None if the property
is not set.
"""
if not conn.table_exists('nominatim_properties'):
if not table_exists(conn, 'nominatim_properties'):
return None
with conn.cursor() as cur:

87
src/nominatim_db/db/query_pool.py Normal file
View File

@ -0,0 +1,87 @@
# 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.
"""
A connection pool that executes incoming queries in parallel.
"""
from typing import Any, Tuple, Optional
import asyncio
import logging
import time
import psycopg
LOG = logging.getLogger()
QueueItem = Optional[Tuple[psycopg.abc.Query, Any]]
class QueryPool:
""" Pool to run SQL queries in parallel asynchronous execution.
All queries are run in autocommit mode. If parallel execution leads
to a deadlock, then the query is repeated.
The results of the queries is discarded.
"""
def __init__(self, dsn: str, pool_size: int = 1, **conn_args: Any) -> None:
self.wait_time = 0.0
self.query_queue: 'asyncio.Queue[QueueItem]' = asyncio.Queue(maxsize=2 * pool_size)
self.pool = [asyncio.create_task(self._worker_loop(dsn, **conn_args))
for _ in range(pool_size)]
async def put_query(self, query: psycopg.abc.Query, params: Any) -> None:
""" Schedule a query for execution.
"""
tstart = time.time()
await self.query_queue.put((query, params))
self.wait_time += time.time() - tstart
await asyncio.sleep(0)
async def finish(self) -> None:
""" Wait for all queries to finish and close the pool.
"""
for _ in self.pool:
await self.query_queue.put(None)
tstart = time.time()
await asyncio.wait(self.pool)
self.wait_time += time.time() - tstart
for task in self.pool:
excp = task.exception()
if excp is not None:
raise excp
async def _worker_loop(self, dsn: str, **conn_args: Any) -> None:
conn_args['autocommit'] = True
aconn = await psycopg.AsyncConnection.connect(dsn, **conn_args)
async with aconn:
async with aconn.cursor() as cur:
item = await self.query_queue.get()
while item is not None:
try:
if item[1] is None:
await cur.execute(item[0])
else:
await cur.execute(item[0], item[1])
item = await self.query_queue.get()
except psycopg.errors.DeadlockDetected:
assert item is not None
LOG.info("Deadlock detected (sql = %s, params = %s), retry.",
str(item[0]), str(item[1]))
# item is still valid here, causing a retry
async def __aenter__(self) -> 'QueryPool':
return self
async def __aexit__(self, exc_type: Any, exc_value: Any, traceback: Any) -> None:
await self.finish()

17
src/nominatim_db/db/sql_preprocessor.py
View File

@ -8,11 +8,12 @@
Preprocessing of SQL files.
"""
from typing import Set, Dict, Any, cast
import jinja2
from .connection import Connection
from .async_connection import WorkerPool
from .connection import Connection, server_version_tuple, postgis_version_tuple
from ..config import Configuration
from ..db.query_pool import QueryPool
def _get_partitions(conn: Connection) -> Set[int]:
""" Get the set of partitions currently in use.
@ -66,8 +67,8 @@ def _setup_postgresql_features(conn: Connection) -> Dict[str, Any]:
""" Set up a dictionary with various optional Postgresql/Postgis features that
depend on the database version.
"""
pg_version = conn.server_version_tuple()
postgis_version = conn.postgis_version_tuple()
pg_version = server_version_tuple(conn)
postgis_version = postgis_version_tuple(conn)
pg11plus = pg_version >= (11, 0, 0)
ps3 = postgis_version >= (3, 0)
return {
@ -125,8 +126,8 @@ class SQLPreprocessor:
conn.commit()
def run_parallel_sql_file(self, dsn: str, name: str, num_threads: int = 1,
**kwargs: Any) -> None:
async def run_parallel_sql_file(self, dsn: str, name: str, num_threads: int = 1,
**kwargs: Any) -> None:
""" Execute the given SQL files using parallel asynchronous connections.
The keyword arguments may supply additional parameters for
preprocessing.
@ -138,6 +139,6 @@ class SQLPreprocessor:
parts = sql.split('\n---\n')
with WorkerPool(dsn, num_threads) as pool:
async with QueryPool(dsn, num_threads) as pool:
for part in parts:
pool.next_free_worker().perform(part)
await pool.put_query(part, None)

35
src/nominatim_db/db/status.py
View File

@ -7,34 +7,25 @@
"""
Access and helper functions for the status and status log table.
"""
from typing import Optional, Tuple, cast
from typing import Optional, Tuple
import datetime as dt
import logging
import re
from .connection import Connection
from .connection import Connection, table_exists, execute_scalar
from ..utils.url_utils import get_url
from ..errors import UsageError
from ..typing import TypedDict
LOG = logging.getLogger()
ISODATE_FORMAT = '%Y-%m-%dT%H:%M:%S'
class StatusRow(TypedDict):
""" Dictionary of columns of the import_status table.
"""
lastimportdate: dt.datetime
sequence_id: Optional[int]
indexed: Optional[bool]
def compute_database_date(conn: Connection, offline: bool = False) -> dt.datetime:
""" Determine the date of the database from the newest object in the
data base.
"""
# If there is a date from osm2pgsql available, use that.
if conn.table_exists('osm2pgsql_properties'):
if table_exists(conn, 'osm2pgsql_properties'):
with conn.cursor() as cur:
cur.execute(""" SELECT value FROM osm2pgsql_properties
WHERE property = 'current_timestamp' """)
@ -47,15 +38,14 @@ def compute_database_date(conn: Connection, offline: bool = False) -> dt.datetim
raise UsageError("Cannot determine database date from data in offline mode.")
# Else, find the node with the highest ID in the database
with conn.cursor() as cur:
if conn.table_exists('place'):
osmid = cur.scalar("SELECT max(osm_id) FROM place WHERE osm_type='N'")
else:
osmid = cur.scalar("SELECT max(osm_id) FROM placex WHERE osm_type='N'")
if table_exists(conn, 'place'):
osmid = execute_scalar(conn, "SELECT max(osm_id) FROM place WHERE osm_type='N'")
else:
osmid = execute_scalar(conn, "SELECT max(osm_id) FROM placex WHERE osm_type='N'")
if osmid is None:
LOG.fatal("No data found in the database.")
raise UsageError("No data found in the database.")
if osmid is None:
LOG.fatal("No data found in the database.")
raise UsageError("No data found in the database.")
LOG.info("Using node id %d for timestamp lookup", osmid)
# Get the node from the API to find the timestamp when it was created.
@ -103,8 +93,9 @@ def get_status(conn: Connection) -> Tuple[Optional[dt.datetime], Optional[int],
if cur.rowcount < 1:
return None, None, None
row = cast(StatusRow, cur.fetchone())
return row['lastimportdate'], row['sequence_id'], row['indexed']
row = cur.fetchone()
assert row
return row.lastimportdate, row.sequence_id, row.indexed
def set_indexed(conn: Connection, state: bool) -> None:

60
src/nominatim_db/db/utils.py
View File

@ -7,14 +7,13 @@
"""
Helper functions for handling DB accesses.
"""
from typing import IO, Optional, Union, Any, Iterable
from typing import IO, Optional, Union
import subprocess
import logging
import gzip
import io
from pathlib import Path
from .connection import get_pg_env, Cursor
from .connection import get_pg_env
from ..errors import UsageError
LOG = logging.getLogger()
@ -72,58 +71,3 @@ def execute_file(dsn: str, fname: Path,
if ret != 0 or remain > 0:
raise UsageError("Failed to execute SQL file.")
# List of characters that need to be quoted for the copy command.
_SQL_TRANSLATION = {ord('\\'): '\\\\',
ord('\t'): '\\t',
ord('\n'): '\\n'}
class CopyBuffer:
""" Data collector for the copy_from command.
"""
def __init__(self) -> None:
self.buffer = io.StringIO()
def __enter__(self) -> 'CopyBuffer':
return self
def size(self) -> int:
""" Return the number of bytes the buffer currently contains.
"""
return self.buffer.tell()
def __exit__(self, exc_type: Any, exc_value: Any, traceback: Any) -> None:
if self.buffer is not None:
self.buffer.close()
def add(self, *data: Any) -> None:
""" Add another row of data to the copy buffer.
"""
first = True
for column in data:
if first:
first = False
else:
self.buffer.write('\t')
if column is None:
self.buffer.write('\\N')
else:
self.buffer.write(str(column).translate(_SQL_TRANSLATION))
self.buffer.write('\n')
def copy_out(self, cur: Cursor, table: str, columns: Optional[Iterable[str]] = None) -> None:
""" Copy all collected data into the given table.
The buffer is empty and reusable after this operation.
"""
if self.buffer.tell() > 0:
self.buffer.seek(0)
cur.copy_from(self.buffer, table, columns=columns)
self.buffer = io.StringIO()

196
src/nominatim_db/indexer/indexer.py
View File

@ -7,92 +7,20 @@
"""
Main work horse for indexing (computing addresses) the database.
"""
from typing import Optional, Any, cast
from typing import cast, List, Any
import logging
import time
import psycopg2.extras
import psycopg
from ..typing import DictCursorResults
from ..db.async_connection import DBConnection, WorkerPool
from ..db.connection import connect, Connection, Cursor
from ..db.connection import connect, execute_scalar
from ..db.query_pool import QueryPool
from ..tokenizer.base import AbstractTokenizer
from .progress import ProgressLogger
from . import runners
LOG = logging.getLogger()
class PlaceFetcher:
""" Asynchronous connection that fetches place details for processing.
"""
def __init__(self, dsn: str, setup_conn: Connection) -> None:
self.wait_time = 0.0
self.current_ids: Optional[DictCursorResults] = None
self.conn: Optional[DBConnection] = DBConnection(dsn,
cursor_factory=psycopg2.extras.DictCursor)
with setup_conn.cursor() as cur:
# need to fetch those manually because register_hstore cannot
# fetch them on an asynchronous connection below.
hstore_oid = cur.scalar("SELECT 'hstore'::regtype::oid")
hstore_array_oid = cur.scalar("SELECT 'hstore[]'::regtype::oid")
psycopg2.extras.register_hstore(self.conn.conn, oid=hstore_oid,
array_oid=hstore_array_oid)
def close(self) -> None:
""" Close the underlying asynchronous connection.
"""
if self.conn:
self.conn.close()
self.conn = None
def fetch_next_batch(self, cur: Cursor, runner: runners.Runner) -> bool:
""" Send a request for the next batch of places.
If details for the places are required, they will be fetched
asynchronously.
Returns true if there is still data available.
"""
ids = cast(Optional[DictCursorResults], cur.fetchmany(100))
if not ids:
self.current_ids = None
return False
assert self.conn is not None
self.current_ids = runner.get_place_details(self.conn, ids)
return True
def get_batch(self) -> DictCursorResults:
""" Get the next batch of data, previously requested with
`fetch_next_batch`.
"""
assert self.conn is not None
assert self.conn.cursor is not None
if self.current_ids is not None and not self.current_ids:
tstart = time.time()
self.conn.wait()
self.wait_time += time.time() - tstart
self.current_ids = cast(Optional[DictCursorResults],
self.conn.cursor.fetchall())
return self.current_ids if self.current_ids is not None else []
def __enter__(self) -> 'PlaceFetcher':
return self
def __exit__(self, exc_type: Any, exc_value: Any, traceback: Any) -> None:
assert self.conn is not None
self.conn.wait()
self.close()
class Indexer:
""" Main indexing routine.
"""
@ -114,7 +42,7 @@ class Indexer:
return cur.rowcount > 0
def index_full(self, analyse: bool = True) -> None:
async def index_full(self, analyse: bool = True) -> None:
""" Index the complete database. This will first index boundaries
followed by all other objects. When `analyse` is True, then the
database will be analysed at the appropriate places to
@ -128,23 +56,27 @@ class Indexer:
with conn.cursor() as cur:
cur.execute('ANALYZE')
if self.index_by_rank(0, 4) > 0:
_analyze()
while True:
if await self.index_by_rank(0, 4) > 0:
_analyze()
if self.index_boundaries(0, 30) > 100:
_analyze()
if await self.index_boundaries(0, 30) > 100:
_analyze()
if self.index_by_rank(5, 25) > 100:
_analyze()
if await self.index_by_rank(5, 25) > 100:
_analyze()
if self.index_by_rank(26, 30) > 1000:
_analyze()
if await self.index_by_rank(26, 30) > 1000:
_analyze()
if self.index_postcodes() > 100:
_analyze()
if await self.index_postcodes() > 100:
_analyze()
if not self.has_pending():
break
def index_boundaries(self, minrank: int, maxrank: int) -> int:
async def index_boundaries(self, minrank: int, maxrank: int) -> int:
""" Index only administrative boundaries within the given rank range.
"""
total = 0
@ -153,11 +85,11 @@ class Indexer:
with self.tokenizer.name_analyzer() as analyzer:
for rank in range(max(minrank, 4), min(maxrank, 26)):
total += self._index(runners.BoundaryRunner(rank, analyzer))
total += await self._index(runners.BoundaryRunner(rank, analyzer))
return total
def index_by_rank(self, minrank: int, maxrank: int) -> int:
async def index_by_rank(self, minrank: int, maxrank: int) -> int:
""" Index all entries of placex in the given rank range (inclusive)
in order of their address rank.
@ -171,21 +103,27 @@ class Indexer:
with self.tokenizer.name_analyzer() as analyzer:
for rank in range(max(1, minrank), maxrank + 1):
total += self._index(runners.RankRunner(rank, analyzer), 20 if rank == 30 else 1)
if rank >= 30:
batch = 20
elif rank >= 26:
batch = 5
else:
batch = 1
total += await self._index(runners.RankRunner(rank, analyzer), batch)
if maxrank == 30:
total += self._index(runners.RankRunner(0, analyzer))
total += self._index(runners.InterpolationRunner(analyzer), 20)
total += await self._index(runners.RankRunner(0, analyzer))
total += await self._index(runners.InterpolationRunner(analyzer), 20)
return total
def index_postcodes(self) -> int:
async def index_postcodes(self) -> int:
"""Index the entries of the location_postcode table.
"""
LOG.warning("Starting indexing postcodes using %s threads", self.num_threads)
return self._index(runners.PostcodeRunner(), 20)
return await self._index(runners.PostcodeRunner(), 20)
def update_status_table(self) -> None:
@ -197,46 +135,58 @@ class Indexer:
conn.commit()
def _index(self, runner: runners.Runner, batch: int = 1) -> int:
async def _index(self, runner: runners.Runner, batch: int = 1) -> int:
""" Index a single rank or table. `runner` describes the SQL to use
for indexing. `batch` describes the number of objects that
should be processed with a single SQL statement
"""
LOG.warning("Starting %s (using batch size %s)", runner.name(), batch)
with connect(self.dsn) as conn:
psycopg2.extras.register_hstore(conn)
with conn.cursor() as cur:
total_tuples = cur.scalar(runner.sql_count_objects())
LOG.debug("Total number of rows: %i", total_tuples)
total_tuples = self._prepare_indexing(runner)
conn.commit()
progress = ProgressLogger(runner.name(), total_tuples)
progress = ProgressLogger(runner.name(), total_tuples)
if total_tuples > 0:
async with await psycopg.AsyncConnection.connect(
self.dsn, row_factory=psycopg.rows.dict_row) as aconn,\
QueryPool(self.dsn, self.num_threads, autocommit=True) as pool:
fetcher_time = 0.0
tstart = time.time()
async with aconn.cursor(name='places') as cur:
query = runner.index_places_query(batch)
params: List[Any] = []
num_places = 0
async for place in cur.stream(runner.sql_get_objects()):
fetcher_time += time.time() - tstart
if total_tuples > 0:
with conn.cursor(name='places') as cur:
cur.execute(runner.sql_get_objects())
params.extend(runner.index_places_params(place))
num_places += 1
with PlaceFetcher(self.dsn, conn) as fetcher:
with WorkerPool(self.dsn, self.num_threads) as pool:
has_more = fetcher.fetch_next_batch(cur, runner)
while has_more:
places = fetcher.get_batch()
if num_places >= batch:
LOG.debug("Processing places: %s", str(params))
await pool.put_query(query, params)
progress.add(num_places)
params = []
num_places = 0
# asynchronously get the next batch
has_more = fetcher.fetch_next_batch(cur, runner)
tstart = time.time()
# And insert the current batch
for idx in range(0, len(places), batch):
part = places[idx:idx + batch]
LOG.debug("Processing places: %s", str(part))
runner.index_places(pool.next_free_worker(), part)
progress.add(len(part))
if num_places > 0:
await pool.put_query(runner.index_places_query(num_places), params)
LOG.info("Wait time: fetcher: %.2fs, pool: %.2fs",
fetcher.wait_time, pool.wait_time)
conn.commit()
LOG.info("Wait time: fetcher: %.2fs, pool: %.2fs",
fetcher_time, pool.wait_time)
return progress.done()
def _prepare_indexing(self, runner: runners.Runner) -> int:
with connect(self.dsn) as conn:
hstore_info = psycopg.types.TypeInfo.fetch(conn, "hstore")
if hstore_info is None:
raise RuntimeError('Hstore extension is requested but not installed.')
psycopg.types.hstore.register_hstore(hstore_info)
total_tuples = execute_scalar(conn, runner.sql_count_objects())
LOG.debug("Total number of rows: %i", total_tuples)
return cast(int, total_tuples)

124
src/nominatim_db/indexer/runners.py
View File

@ -8,14 +8,14 @@
Mix-ins that provide the actual commands for the indexer for various indexing
tasks.
"""
from typing import Any, List
import functools
from typing import Any, Sequence
from psycopg2 import sql as pysql
import psycopg2.extras
from psycopg import sql as pysql
from psycopg.abc import Query
from psycopg.rows import DictRow
from psycopg.types.json import Json
from ..typing import Query, DictCursorResult, DictCursorResults, Protocol
from ..db.async_connection import DBConnection
from ..typing import Protocol
from ..data.place_info import PlaceInfo
from ..tokenizer.base import AbstractAnalyzer
@ -24,58 +24,48 @@ from ..tokenizer.base import AbstractAnalyzer
def _mk_valuelist(template: str, num: int) -> pysql.Composed:
return pysql.SQL(',').join([pysql.SQL(template)] * num)
def _analyze_place(place: DictCursorResult, analyzer: AbstractAnalyzer) -> psycopg2.extras.Json:
return psycopg2.extras.Json(analyzer.process_place(PlaceInfo(place)))
def _analyze_place(place: DictRow, analyzer: AbstractAnalyzer) -> Json:
return Json(analyzer.process_place(PlaceInfo(place)))
class Runner(Protocol):
def name(self) -> str: ...
def sql_count_objects(self) -> Query: ...
def sql_get_objects(self) -> Query: ...
def get_place_details(self, worker: DBConnection,
ids: DictCursorResults) -> DictCursorResults: ...
def index_places(self, worker: DBConnection, places: DictCursorResults) -> None: ...
def index_places_query(self, batch_size: int) -> Query: ...
def index_places_params(self, place: DictRow) -> Sequence[Any]: ...
SELECT_SQL = pysql.SQL("""SELECT place_id, extra.*
FROM (SELECT * FROM placex {}) as px,
LATERAL placex_indexing_prepare(px) as extra """)
UPDATE_LINE = "(%s, %s::hstore, %s::hstore, %s::int, %s::jsonb)"
class AbstractPlacexRunner:
""" Returns SQL commands for indexing of the placex table.
"""
SELECT_SQL = pysql.SQL('SELECT place_id FROM placex ')
UPDATE_LINE = "(%s, %s::hstore, %s::hstore, %s::int, %s::jsonb)"
def __init__(self, rank: int, analyzer: AbstractAnalyzer) -> None:
self.rank = rank
self.analyzer = analyzer
@functools.lru_cache(maxsize=1)
def _index_sql(self, num_places: int) -> pysql.Composed:
def index_places_query(self, batch_size: int) -> Query:
return pysql.SQL(
""" UPDATE placex
SET indexed_status = 0, address = v.addr, token_info = v.ti,
name = v.name, linked_place_id = v.linked_place_id
FROM (VALUES {}) as v(id, name, addr, linked_place_id, ti)
WHERE place_id = v.id
""").format(_mk_valuelist(AbstractPlacexRunner.UPDATE_LINE, num_places))
""").format(_mk_valuelist(UPDATE_LINE, batch_size))
def get_place_details(self, worker: DBConnection, ids: DictCursorResults) -> DictCursorResults:
worker.perform("""SELECT place_id, extra.*
FROM placex, LATERAL placex_indexing_prepare(placex) as extra
WHERE place_id IN %s""",
(tuple((p[0] for p in ids)), ))
return []
def index_places(self, worker: DBConnection, places: DictCursorResults) -> None:
values: List[Any] = []
for place in places:
for field in ('place_id', 'name', 'address', 'linked_place_id'):
values.append(place[field])
values.append(_analyze_place(place, self.analyzer))
worker.perform(self._index_sql(len(places)), values)
def index_places_params(self, place: DictRow) -> Sequence[Any]:
return (place['place_id'],
place['name'],
place['address'],
place['linked_place_id'],
_analyze_place(place, self.analyzer))
class RankRunner(AbstractPlacexRunner):
@ -91,10 +81,10 @@ class RankRunner(AbstractPlacexRunner):
""").format(pysql.Literal(self.rank))
def sql_get_objects(self) -> pysql.Composed:
return self.SELECT_SQL + pysql.SQL(
"""WHERE indexed_status > 0 and rank_address = {}
ORDER BY geometry_sector
""").format(pysql.Literal(self.rank))
return SELECT_SQL.format(pysql.SQL(
"""WHERE placex.indexed_status > 0 and placex.rank_address = {}
ORDER BY placex.geometry_sector
""").format(pysql.Literal(self.rank)))
class BoundaryRunner(AbstractPlacexRunner):
@ -105,19 +95,19 @@ class BoundaryRunner(AbstractPlacexRunner):
def name(self) -> str:
return f"boundaries rank {self.rank}"
def sql_count_objects(self) -> pysql.Composed:
def sql_count_objects(self) -> Query:
return pysql.SQL("""SELECT count(*) FROM placex
WHERE indexed_status > 0
AND rank_search = {}
AND class = 'boundary' and type = 'administrative'
""").format(pysql.Literal(self.rank))
def sql_get_objects(self) -> pysql.Composed:
return self.SELECT_SQL + pysql.SQL(
"""WHERE indexed_status > 0 and rank_search = {}
and class = 'boundary' and type = 'administrative'
ORDER BY partition, admin_level
""").format(pysql.Literal(self.rank))
def sql_get_objects(self) -> Query:
return SELECT_SQL.format(pysql.SQL(
"""WHERE placex.indexed_status > 0 and placex.rank_search = {}
and placex.class = 'boundary' and placex.type = 'administrative'
ORDER BY placex.partition, placex.admin_level
""").format(pysql.Literal(self.rank)))
class InterpolationRunner:
@ -132,40 +122,29 @@ class InterpolationRunner:
def name(self) -> str:
return "interpolation lines (location_property_osmline)"
def sql_count_objects(self) -> str:
def sql_count_objects(self) -> Query:
return """SELECT count(*) FROM location_property_osmline
WHERE indexed_status > 0"""
def sql_get_objects(self) -> str:
return """SELECT place_id
def sql_get_objects(self) -> Query:
return """SELECT place_id, get_interpolation_address(address, osm_id) as address
FROM location_property_osmline
WHERE indexed_status > 0
ORDER BY geometry_sector"""
def get_place_details(self, worker: DBConnection, ids: DictCursorResults) -> DictCursorResults:
worker.perform("""SELECT place_id, get_interpolation_address(address, osm_id) as address
FROM location_property_osmline WHERE place_id IN %s""",
(tuple((p[0] for p in ids)), ))
return []
@functools.lru_cache(maxsize=1)
def _index_sql(self, num_places: int) -> pysql.Composed:
def index_places_query(self, batch_size: int) -> Query:
return pysql.SQL("""UPDATE location_property_osmline
SET indexed_status = 0, address = v.addr, token_info = v.ti
FROM (VALUES {}) as v(id, addr, ti)
WHERE place_id = v.id
""").format(_mk_valuelist("(%s, %s::hstore, %s::jsonb)", num_places))
""").format(_mk_valuelist("(%s, %s::hstore, %s::jsonb)", batch_size))
def index_places(self, worker: DBConnection, places: DictCursorResults) -> None:
values: List[Any] = []
for place in places:
values.extend((place[x] for x in ('place_id', 'address')))
values.append(_analyze_place(place, self.analyzer))
worker.perform(self._index_sql(len(places)), values)
def index_places_params(self, place: DictRow) -> Sequence[Any]:
return (place['place_id'], place['address'],
_analyze_place(place, self.analyzer))
@ -177,20 +156,21 @@ class PostcodeRunner(Runner):
return "postcodes (location_postcode)"
def sql_count_objects(self) -> str:
def sql_count_objects(self) -> Query:
return 'SELECT count(*) FROM location_postcode WHERE indexed_status > 0'
def sql_get_objects(self) -> str:
def sql_get_objects(self) -> Query:
return """SELECT place_id FROM location_postcode
WHERE indexed_status > 0
ORDER BY country_code, postcode"""
def get_place_details(self, worker: DBConnection, ids: DictCursorResults) -> DictCursorResults:
return ids
def index_places_query(self, batch_size: int) -> Query:
return pysql.SQL("""UPDATE location_postcode SET indexed_status = 0
WHERE place_id IN ({})""")\
.format(pysql.SQL(',').join((pysql.Placeholder() for _ in range(batch_size))))
def index_places(self, worker: DBConnection, places: DictCursorResults) -> None:
worker.perform(pysql.SQL("""UPDATE location_postcode SET indexed_status = 0
WHERE place_id IN ({})""")
.format(pysql.SQL(',').join((pysql.Literal(i[0]) for i in places))))
def index_places_params(self, place: DictRow) -> Sequence[Any]:
return (place['place_id'], )

84
src/nominatim_db/tokenizer/icu_tokenizer.py
View File

@ -11,14 +11,16 @@ libICU instead of the PostgreSQL module.
from typing import Optional, Sequence, List, Tuple, Mapping, Any, cast, \
Dict, Set, Iterable
import itertools
import json
import logging
from pathlib import Path
from textwrap import dedent
from ..db.connection import connect, Connection, Cursor
from psycopg.types.json import Jsonb
from psycopg import sql as pysql
from ..db.connection import connect, Connection, Cursor, server_version_tuple,\
drop_tables, table_exists, execute_scalar
from ..config import Configuration
from ..db.utils import CopyBuffer
from ..db.sql_preprocessor import SQLPreprocessor
from ..data.place_info import PlaceInfo
from ..data.place_name import PlaceName
@ -108,19 +110,18 @@ class ICUTokenizer(AbstractTokenizer):
""" Recompute frequencies for all name words.
"""
with connect(self.dsn) as conn:
if not conn.table_exists('search_name'):
if not table_exists(conn, 'search_name'):
return
with conn.cursor() as cur:
cur.execute('ANALYSE search_name')
if threads > 1:
cur.execute('SET max_parallel_workers_per_gather TO %s',
(min(threads, 6),))
cur.execute(pysql.SQL('SET max_parallel_workers_per_gather TO {}')
.format(pysql.Literal(min(threads, 6),)))
if conn.server_version_tuple() < (12, 0):
if server_version_tuple(conn) < (12, 0):
LOG.info('Computing word frequencies')
cur.drop_table('word_frequencies')
cur.drop_table('addressword_frequencies')
drop_tables(conn, 'word_frequencies', 'addressword_frequencies')
cur.execute("""CREATE TEMP TABLE word_frequencies AS
SELECT unnest(name_vector) as id, count(*)
FROM search_name GROUP BY id""")
@ -152,17 +153,16 @@ class ICUTokenizer(AbstractTokenizer):
$$ LANGUAGE plpgsql IMMUTABLE;
""")
LOG.info('Update word table with recomputed frequencies')
cur.drop_table('tmp_word')
drop_tables(conn, 'tmp_word')
cur.execute("""CREATE TABLE tmp_word AS
SELECT word_id, word_token, type, word,
word_freq_update(word_id, info) as info
FROM word
""")
cur.drop_table('word_frequencies')
cur.drop_table('addressword_frequencies')
drop_tables(conn, 'word_frequencies', 'addressword_frequencies')
else:
LOG.info('Computing word frequencies')
cur.drop_table('word_frequencies')
drop_tables(conn, 'word_frequencies')
cur.execute("""
CREATE TEMP TABLE word_frequencies AS
WITH word_freq AS MATERIALIZED (
@ -182,7 +182,7 @@ class ICUTokenizer(AbstractTokenizer):
cur.execute('CREATE UNIQUE INDEX ON word_frequencies(id) INCLUDE(info)')
cur.execute('ANALYSE word_frequencies')
LOG.info('Update word table with recomputed frequencies')
cur.drop_table('tmp_word')
drop_tables(conn, 'tmp_word')
cur.execute("""CREATE TABLE tmp_word AS
SELECT word_id, word_token, type, word,
(CASE WHEN wf.info is null THEN word.info
@ -191,7 +191,7 @@ class ICUTokenizer(AbstractTokenizer):
FROM word LEFT JOIN word_frequencies wf
ON word.word_id = wf.id
""")
cur.drop_table('word_frequencies')
drop_tables(conn, 'word_frequencies')
with conn.cursor() as cur:
cur.execute('SET max_parallel_workers_per_gather TO 0')
@ -210,7 +210,7 @@ class ICUTokenizer(AbstractTokenizer):
""" Remove unused house numbers.
"""
with connect(self.dsn) as conn:
if not conn.table_exists('search_name'):
if not table_exists(conn, 'search_name'):
return
with conn.cursor(name="hnr_counter") as cur:
cur.execute("""SELECT DISTINCT word_id, coalesce(info->>'lookup', word_token)
@ -311,8 +311,7 @@ class ICUTokenizer(AbstractTokenizer):
frequencies.
"""
with connect(self.dsn) as conn:
with conn.cursor() as cur:
cur.drop_table('word')
drop_tables(conn, 'word')
sqlp = SQLPreprocessor(conn, config)
sqlp.run_string(conn, """
CREATE TABLE word (
@ -370,8 +369,8 @@ class ICUTokenizer(AbstractTokenizer):
""" Rename all tables and indexes used by the tokenizer.
"""
with connect(self.dsn) as conn:
drop_tables(conn, 'word')
with conn.cursor() as cur:
cur.drop_table('word')
cur.execute(f"ALTER TABLE {old} RENAME TO word")
for idx in ('word_token', 'word_id'):
cur.execute(f"""ALTER INDEX idx_{old}_{idx}
@ -393,7 +392,7 @@ class ICUNameAnalyzer(AbstractAnalyzer):
def __init__(self, dsn: str, sanitizer: PlaceSanitizer,
token_analysis: ICUTokenAnalysis) -> None:
self.conn: Optional[Connection] = connect(dsn).connection
self.conn: Optional[Connection] = connect(dsn)
self.conn.autocommit = True
self.sanitizer = sanitizer
self.token_analysis = token_analysis
@ -535,9 +534,7 @@ class ICUNameAnalyzer(AbstractAnalyzer):
if terms:
with self.conn.cursor() as cur:
cur.execute_values("""SELECT create_postcode_word(pc, var)
FROM (VALUES %s) AS v(pc, var)""",
terms)
cur.executemany("""SELECT create_postcode_word(%s, %s)""", terms)
@ -580,18 +577,15 @@ class ICUNameAnalyzer(AbstractAnalyzer):
to_add = new_phrases - existing_phrases
added = 0
with CopyBuffer() as copystr:
with cursor.copy('COPY word(word_token, type, word, info) FROM STDIN') as copy:
for word, cls, typ, oper in to_add:
term = self._search_normalized(word)
if term:
copystr.add(term, 'S', word,
json.dumps({'class': cls, 'type': typ,
'op': oper if oper in ('in', 'near') else None}))
copy.write_row((term, 'S', word,
Jsonb({'class': cls, 'type': typ,
'op': oper if oper in ('in', 'near') else None})))
added += 1
copystr.copy_out(cursor, 'word',
columns=['word_token', 'type', 'word', 'info'])
return added
@ -604,11 +598,11 @@ class ICUNameAnalyzer(AbstractAnalyzer):
to_delete = existing_phrases - new_phrases
if to_delete:
cursor.execute_values(
""" DELETE FROM word USING (VALUES %s) as v(name, in_class, in_type, op)
WHERE type = 'S' and word = name
and info->>'class' = in_class and info->>'type' = in_type
and ((op = '-' and info->>'op' is null) or op = info->>'op')
cursor.executemany(
""" DELETE FROM word
WHERE type = 'S' and word = %s
and info->>'class' = %s and info->>'type' = %s
and %s = coalesce(info->>'op', '-')
""", to_delete)
return len(to_delete)
@ -655,7 +649,7 @@ class ICUNameAnalyzer(AbstractAnalyzer):
gone_tokens.update(existing_tokens[False] & word_tokens)
if gone_tokens:
cur.execute("""DELETE FROM word
USING unnest(%s) as token
USING unnest(%s::text[]) as token
WHERE type = 'C' and word = %s
and word_token = token""",
(list(gone_tokens), country_code))
@ -668,12 +662,12 @@ class ICUNameAnalyzer(AbstractAnalyzer):
if internal:
sql = """INSERT INTO word (word_token, type, word, info)
(SELECT token, 'C', %s, '{"internal": "yes"}'
FROM unnest(%s) as token)
FROM unnest(%s::text[]) as token)
"""
else:
sql = """INSERT INTO word (word_token, type, word)
(SELECT token, 'C', %s
FROM unnest(%s) as token)
FROM unnest(%s::text[]) as token)
"""
cur.execute(sql, (country_code, list(new_tokens)))
@ -733,11 +727,10 @@ class ICUNameAnalyzer(AbstractAnalyzer):
if norm_name:
result = self._cache.housenumbers.get(norm_name, result)
if result[0] is None:
with self.conn.cursor() as cur:
hid = cur.scalar("SELECT getorcreate_hnr_id(%s)", (norm_name, ))
hid = execute_scalar(self.conn, "SELECT getorcreate_hnr_id(%s)", (norm_name, ))
result = hid, norm_name
self._cache.housenumbers[norm_name] = result
result = hid, norm_name
self._cache.housenumbers[norm_name] = result
else:
# Otherwise use the analyzer to determine the canonical name.
# Per convention we use the first variant as the 'lookup name', the
@ -748,11 +741,10 @@ class ICUNameAnalyzer(AbstractAnalyzer):
if result[0] is None:
variants = analyzer.compute_variants(word_id)
if variants:
with self.conn.cursor() as cur:
hid = cur.scalar("SELECT create_analyzed_hnr_id(%s, %s)",
hid = execute_scalar(self.conn, "SELECT create_analyzed_hnr_id(%s, %s)",
(word_id, list(variants)))
result = hid, variants[0]
self._cache.housenumbers[word_id] = result
result = hid, variants[0]
self._cache.housenumbers[word_id] = result
return result

63
src/nominatim_db/tokenizer/legacy_tokenizer.py
View File

@ -17,11 +17,12 @@ import shutil
from textwrap import dedent
from icu import Transliterator
import psycopg2
import psycopg2.extras
import psycopg
from psycopg import sql as pysql
from ..errors import UsageError
from ..db.connection import connect, Connection
from ..db.connection import connect, Connection, drop_tables, table_exists,\
execute_scalar, register_hstore
from ..config import Configuration
from ..db import properties
from ..db import utils as db_utils
@ -78,12 +79,12 @@ def _check_module(module_dir: str, conn: Connection) -> None:
"""
with conn.cursor() as cur:
try:
cur.execute("""CREATE FUNCTION nominatim_test_import_func(text)
RETURNS text AS %s, 'transliteration'
LANGUAGE c IMMUTABLE STRICT;
DROP FUNCTION nominatim_test_import_func(text)
""", (f'{module_dir}/nominatim.so', ))
except psycopg2.DatabaseError as err:
cur.execute(pysql.SQL("""CREATE FUNCTION nominatim_test_import_func(text)
RETURNS text AS {}, 'transliteration'
LANGUAGE c IMMUTABLE STRICT;
DROP FUNCTION nominatim_test_import_func(text)
""").format(pysql.Literal(f'{module_dir}/nominatim.so')))
except psycopg.DatabaseError as err:
LOG.fatal("Error accessing database module: %s", err)
raise UsageError("Database module cannot be accessed.") from err
@ -179,11 +180,10 @@ class LegacyTokenizer(AbstractTokenizer):
* Can nominatim.so be accessed by the database user?
"""
with connect(self.dsn) as conn:
with conn.cursor() as cur:
try:
out = cur.scalar("SELECT make_standard_name('a')")
except psycopg2.Error as err:
return hint.format(error=str(err))
try:
out = execute_scalar(conn, "SELECT make_standard_name('a')")
except psycopg.Error as err:
return hint.format(error=str(err))
if out != 'a':
return hint.format(error='Unexpected result for make_standard_name()')
@ -214,9 +214,9 @@ class LegacyTokenizer(AbstractTokenizer):
""" Recompute the frequency of full words.
"""
with connect(self.dsn) as conn:
if conn.table_exists('search_name'):
if table_exists(conn, 'search_name'):
drop_tables(conn, "word_frequencies")
with conn.cursor() as cur:
cur.drop_table("word_frequencies")
LOG.info("Computing word frequencies")
cur.execute("""CREATE TEMP TABLE word_frequencies AS
SELECT unnest(name_vector) as id, count(*)
@ -226,7 +226,7 @@ class LegacyTokenizer(AbstractTokenizer):
cur.execute("""UPDATE word SET search_name_count = count
FROM word_frequencies
WHERE word_token like ' %' and word_id = id""")
cur.drop_table("word_frequencies")
drop_tables(conn, "word_frequencies")
conn.commit()
@ -313,10 +313,10 @@ class LegacyNameAnalyzer(AbstractAnalyzer):
"""
def __init__(self, dsn: str, normalizer: Any):
self.conn: Optional[Connection] = connect(dsn).connection
self.conn: Optional[Connection] = connect(dsn)
self.conn.autocommit = True
self.normalizer = normalizer
psycopg2.extras.register_hstore(self.conn)
register_hstore(self.conn)
self._cache = _TokenCache(self.conn)
@ -406,7 +406,7 @@ class LegacyNameAnalyzer(AbstractAnalyzer):
""", (to_delete, ))
if to_add:
cur.execute("""SELECT count(create_postcode_id(pc))
FROM unnest(%s) as pc
FROM unnest(%s::text[]) as pc
""", (to_add, ))
@ -423,7 +423,7 @@ class LegacyNameAnalyzer(AbstractAnalyzer):
with self.conn.cursor() as cur:
# Get the old phrases.
existing_phrases = set()
cur.execute("""SELECT word, class, type, operator FROM word
cur.execute("""SELECT word, class as cls, type, operator FROM word
WHERE class != 'place'
OR (type != 'house' AND type != 'postcode')""")
for label, cls, typ, oper in cur:
@ -433,18 +433,19 @@ class LegacyNameAnalyzer(AbstractAnalyzer):
to_delete = existing_phrases - norm_phrases
if to_add:
cur.execute_values(
cur.executemany(
""" INSERT INTO word (word_id, word_token, word, class, type,
search_name_count, operator)
(SELECT nextval('seq_word'), ' ' || make_standard_name(name), name,
class, type, 0,
CASE WHEN op in ('in', 'near') THEN op ELSE null END
FROM (VALUES %s) as v(name, class, type, op))""",
FROM (VALUES (%s, %s, %s, %s)) as v(name, class, type, op))""",
to_add)
if to_delete and should_replace:
cur.execute_values(
""" DELETE FROM word USING (VALUES %s) as v(name, in_class, in_type, op)
cur.executemany(
""" DELETE FROM word
USING (VALUES (%s, %s, %s, %s)) as v(name, in_class, in_type, op)
WHERE word = name and class = in_class and type = in_type
and ((op = '-' and operator is null) or op = operator)""",
to_delete)
@ -463,7 +464,7 @@ class LegacyNameAnalyzer(AbstractAnalyzer):
"""INSERT INTO word (word_id, word_token, country_code)
(SELECT nextval('seq_word'), lookup_token, %s
FROM (SELECT DISTINCT ' ' || make_standard_name(n) as lookup_token
FROM unnest(%s)n) y
FROM unnest(%s::TEXT[])n) y
WHERE NOT EXISTS(SELECT * FROM word
WHERE word_token = lookup_token and country_code = %s))
""", (country_code, list(names.values()), country_code))
@ -536,9 +537,8 @@ class _TokenInfo:
def add_names(self, conn: Connection, names: Mapping[str, str]) -> None:
""" Add token information for the names of the place.
"""
with conn.cursor() as cur:
# Create the token IDs for all names.
self.data['names'] = cur.scalar("SELECT make_keywords(%s)::text",
# Create the token IDs for all names.
self.data['names'] = execute_scalar(conn, "SELECT make_keywords(%s)::text",
(names, ))
@ -576,9 +576,8 @@ class _TokenInfo:
""" Add addr:street match terms.
"""
def _get_street(name: str) -> Optional[str]:
with conn.cursor() as cur:
return cast(Optional[str],
cur.scalar("SELECT word_ids_from_name(%s)::text", (name, )))
return cast(Optional[str],
execute_scalar(conn, "SELECT word_ids_from_name(%s)::text", (name, )))
tokens = self.cache.streets.get(street, _get_street)
self.data['street'] = tokens or '{}'

16
src/nominatim_db/tools/admin.py
View File

@ -10,12 +10,12 @@ Functions for database analysis and maintenance.
from typing import Optional, Tuple, Any, cast
import logging
from psycopg2.extras import Json, register_hstore
from psycopg2 import DataError
import psycopg
from psycopg.types.json import Json
from ..typing import DictCursorResult
from ..config import Configuration
from ..db.connection import connect, Cursor
from ..db.connection import connect, Cursor, register_hstore
from ..errors import UsageError
from ..tokenizer import factory as tokenizer_factory
from ..data.place_info import PlaceInfo
@ -59,7 +59,7 @@ def analyse_indexing(config: Configuration, osm_id: Optional[str] = None,
"""
with connect(config.get_libpq_dsn()) as conn:
register_hstore(conn)
with conn.cursor() as cur:
with conn.cursor(row_factory=psycopg.rows.dict_row) as cur:
place = _get_place_info(cur, osm_id, place_id)
cur.execute("update placex set indexed_status = 2 where place_id = %s",
@ -74,6 +74,9 @@ def analyse_indexing(config: Configuration, osm_id: Optional[str] = None,
tokenizer = tokenizer_factory.get_tokenizer_for_db(config)
# Enable printing of messages.
conn.add_notice_handler(lambda diag: print(diag.message_primary))
with tokenizer.name_analyzer() as analyzer:
cur.execute("""UPDATE placex
SET indexed_status = 0, address = %s, token_info = %s,
@ -86,9 +89,6 @@ def analyse_indexing(config: Configuration, osm_id: Optional[str] = None,
# we do not want to keep the results
conn.rollback()
for msg in conn.notices:
print(msg)
def clean_deleted_relations(config: Configuration, age: str) -> None:
""" Clean deleted relations older than a given age
@ -101,6 +101,6 @@ def clean_deleted_relations(config: Configuration, age: str) -> None:
WHERE p.osm_type = d.osm_type AND p.osm_id = d.osm_id
AND age(p.indexed_date) > %s::interval""",
(age, ))
except DataError as exc:
except psycopg.DataError as exc:
raise UsageError('Invalid PostgreSQL time interval format') from exc
conn.commit()

47
src/nominatim_db/tools/check_database.py
View File

@ -12,7 +12,8 @@ from enum import Enum
from textwrap import dedent
from ..config import Configuration
from ..db.connection import connect, Connection
from ..db.connection import connect, Connection, server_version_tuple,\
index_exists, table_exists, execute_scalar
from ..db import properties
from ..errors import UsageError
from ..tokenizer import factory as tokenizer_factory
@ -80,7 +81,7 @@ def check_database(config: Configuration) -> int:
""" Run a number of checks on the database and return the status.
"""
try:
conn = connect(config.get_libpq_dsn()).connection
conn = connect(config.get_libpq_dsn())
except UsageError as err:
conn = _BadConnection(str(err)) # type: ignore[assignment]
@ -109,14 +110,14 @@ def _get_indexes(conn: Connection) -> List[str]:
'idx_postcode_id',
'idx_postcode_postcode'
]
if conn.table_exists('search_name'):
if table_exists(conn, 'search_name'):
indexes.extend(('idx_search_name_nameaddress_vector',
'idx_search_name_name_vector',
'idx_search_name_centroid'))
if conn.server_version_tuple() >= (11, 0, 0):
if server_version_tuple(conn) >= (11, 0, 0):
indexes.extend(('idx_placex_housenumber',
'idx_osmline_parent_osm_id_with_hnr'))
if conn.table_exists('place'):
if table_exists(conn, 'place'):
indexes.extend(('idx_location_area_country_place_id',
'idx_place_osm_unique',
'idx_placex_rank_address_sector',
@ -153,7 +154,7 @@ def check_connection(conn: Any, config: Configuration) -> CheckResult:
Hints:
* Are you connecting to the correct database?
{instruction}
Check the Migration chapter of the Administration Guide.
@ -165,7 +166,7 @@ def check_database_version(conn: Connection, config: Configuration) -> CheckResu
""" Checking database_version matches Nominatim software version
"""
if conn.table_exists('nominatim_properties'):
if table_exists(conn, 'nominatim_properties'):
db_version_str = properties.get_property(conn, 'database_version')
else:
db_version_str = None
@ -202,7 +203,7 @@ def check_database_version(conn: Connection, config: Configuration) -> CheckResu
def check_placex_table(conn: Connection, config: Configuration) -> CheckResult:
""" Checking for placex table
"""
if conn.table_exists('placex'):
if table_exists(conn, 'placex'):
return CheckState.OK
return CheckState.FATAL, dict(config=config)
@ -212,8 +213,7 @@ def check_placex_table(conn: Connection, config: Configuration) -> CheckResult:
def check_placex_size(conn: Connection, _: Configuration) -> CheckResult:
""" Checking for placex content
"""
with conn.cursor() as cur:
cnt = cur.scalar('SELECT count(*) FROM (SELECT * FROM placex LIMIT 100) x')
cnt = execute_scalar(conn, 'SELECT count(*) FROM (SELECT * FROM placex LIMIT 100) x')
return CheckState.OK if cnt > 0 else CheckState.FATAL
@ -244,16 +244,15 @@ def check_tokenizer(_: Connection, config: Configuration) -> CheckResult:
def check_existance_wikipedia(conn: Connection, _: Configuration) -> CheckResult:
""" Checking for wikipedia/wikidata data
"""
if not conn.table_exists('search_name') or not conn.table_exists('place'):
if not table_exists(conn, 'search_name') or not table_exists(conn, 'place'):
return CheckState.NOT_APPLICABLE
with conn.cursor() as cur:
if conn.table_exists('wikimedia_importance'):
cnt = cur.scalar('SELECT count(*) FROM wikimedia_importance')
else:
cnt = cur.scalar('SELECT count(*) FROM wikipedia_article')
if table_exists(conn, 'wikimedia_importance'):
cnt = execute_scalar(conn, 'SELECT count(*) FROM wikimedia_importance')
else:
cnt = execute_scalar(conn, 'SELECT count(*) FROM wikipedia_article')
return CheckState.WARN if cnt == 0 else CheckState.OK
return CheckState.WARN if cnt == 0 else CheckState.OK
@_check(hint="""\
@ -264,8 +263,7 @@ def check_existance_wikipedia(conn: Connection, _: Configuration) -> CheckResult
def check_indexing(conn: Connection, _: Configuration) -> CheckResult:
""" Checking indexing status
"""
with conn.cursor() as cur:
cnt = cur.scalar('SELECT count(*) FROM placex WHERE indexed_status > 0')
cnt = execute_scalar(conn, 'SELECT count(*) FROM placex WHERE indexed_status > 0')
if cnt == 0:
return CheckState.OK
@ -276,7 +274,7 @@ def check_indexing(conn: Connection, _: Configuration) -> CheckResult:
Low counts of unindexed places are fine."""
return CheckState.WARN, dict(count=cnt, index_cmd=index_cmd)
if conn.index_exists('idx_placex_rank_search'):
if index_exists(conn, 'idx_placex_rank_search'):
# Likely just an interrupted update.
index_cmd = 'nominatim index'
else:
@ -297,7 +295,7 @@ def check_database_indexes(conn: Connection, _: Configuration) -> CheckResult:
"""
missing = []
for index in _get_indexes(conn):
if not conn.index_exists(index):
if not index_exists(conn, index):
missing.append(index)
if missing:
@ -340,11 +338,10 @@ def check_tiger_table(conn: Connection, config: Configuration) -> CheckResult:
if not config.get_bool('USE_US_TIGER_DATA'):
return CheckState.NOT_APPLICABLE
if not conn.table_exists('location_property_tiger'):
if not table_exists(conn, 'location_property_tiger'):
return CheckState.FAIL, dict(error='TIGER data table not found.')
with conn.cursor() as cur:
if cur.scalar('SELECT count(*) FROM location_property_tiger') == 0:
return CheckState.FAIL, dict(error='TIGER data table is empty.')
if execute_scalar(conn, 'SELECT count(*) FROM location_property_tiger') == 0:
return CheckState.FAIL, dict(error='TIGER data table is empty.')
return CheckState.OK

22
src/nominatim_db/tools/collect_os_info.py
View File

@ -12,21 +12,15 @@ import os
import subprocess
import sys
from pathlib import Path
from typing import List, Optional, Tuple, Union
from typing import List, Optional, Union
import psutil
from psycopg2.extensions import make_dsn, parse_dsn
from ..config import Configuration
from ..db.connection import connect
from ..db.connection import connect, server_version_tuple, execute_scalar
from ..version import NOMINATIM_VERSION
def convert_version(ver_tup: Tuple[int, int]) -> str:
"""converts tuple version (ver_tup) to a string representation"""
return ".".join(map(str, ver_tup))
def friendly_memory_string(mem: float) -> str:
"""Create a user friendly string for the amount of memory specified as mem"""
mem_magnitude = ("bytes", "KB", "MB", "GB", "TB", "PB", "EB", "ZB", "YB")
@ -102,17 +96,17 @@ def report_system_information(config: Configuration) -> None:
"""Generate a report about the host system including software versions, memory,
storage, and database configuration."""
with connect(make_dsn(config.get_libpq_dsn(), dbname='postgres')) as conn:
postgresql_ver: str = convert_version(conn.server_version_tuple())
with connect(config.get_libpq_dsn(), dbname='postgres') as conn:
postgresql_ver: str = '.'.join(map(str, server_version_tuple(conn)))
with conn.cursor() as cur:
num = cur.scalar("SELECT count(*) FROM pg_catalog.pg_database WHERE datname=%s",
(parse_dsn(config.get_libpq_dsn())['dbname'], ))
nominatim_db_exists = num == 1 if isinstance(num, int) else False
cur.execute("SELECT datname FROM pg_catalog.pg_database WHERE datname=%s",
(config.get_database_params()['dbname'], ))
nominatim_db_exists = cur.rowcount > 0
if nominatim_db_exists:
with connect(config.get_libpq_dsn()) as conn:
postgis_ver: str = convert_version(conn.postgis_version_tuple())
postgis_ver: str = execute_scalar(conn, 'SELECT postgis_lib_version()')
else:
postgis_ver = "Unable to connect to database"

129
src/nominatim_db/tools/database_import.py
View File

@ -10,18 +10,20 @@ Functions for setting up and importing a new Nominatim database.
from typing import Tuple, Optional, Union, Sequence, MutableMapping, Any
import logging
import os
import selectors
import subprocess
import asyncio
from pathlib import Path
import psutil
from psycopg2 import sql as pysql
import psycopg
from psycopg import sql as pysql
from ..errors import UsageError
from ..config import Configuration
from ..db.connection import connect, get_pg_env, Connection
from ..db.async_connection import DBConnection
from ..db.connection import connect, get_pg_env, Connection, server_version_tuple,\
postgis_version_tuple, drop_tables, table_exists, execute_scalar
from ..db.sql_preprocessor import SQLPreprocessor
from ..db.query_pool import QueryPool
from .exec_utils import run_osm2pgsql
from ..version import POSTGRESQL_REQUIRED_VERSION, POSTGIS_REQUIRED_VERSION
@ -40,19 +42,21 @@ def _require_version(module: str, actual: Tuple[int, int], expected: Tuple[int,
def _require_loaded(extension_name: str, conn: Connection) -> None:
""" Check that the given extension is loaded. """
if not conn.extension_loaded(extension_name):
LOG.fatal('Required module %s is not loaded.', extension_name)
raise UsageError(f'{extension_name} is not loaded.')
with conn.cursor() as cur:
cur.execute('SELECT * FROM pg_extension WHERE extname = %s', (extension_name, ))
if cur.rowcount <= 0:
LOG.fatal('Required module %s is not loaded.', extension_name)
raise UsageError(f'{extension_name} is not loaded.')
def check_existing_database_plugins(dsn: str) -> None:
""" Check that the database has the required plugins installed."""
with connect(dsn) as conn:
_require_version('PostgreSQL server',
conn.server_version_tuple(),
server_version_tuple(conn),
POSTGRESQL_REQUIRED_VERSION)
_require_version('PostGIS',
conn.postgis_version_tuple(),
postgis_version_tuple(conn),
POSTGIS_REQUIRED_VERSION)
_require_loaded('hstore', conn)
@ -78,31 +82,30 @@ def setup_database_skeleton(dsn: str, rouser: Optional[str] = None) -> None:
with connect(dsn) as conn:
_require_version('PostgreSQL server',
conn.server_version_tuple(),
server_version_tuple(conn),
POSTGRESQL_REQUIRED_VERSION)
if rouser is not None:
with conn.cursor() as cur:
cnt = cur.scalar('SELECT count(*) FROM pg_user where usename = %s',
cnt = execute_scalar(conn, 'SELECT count(*) FROM pg_user where usename = %s',
(rouser, ))
if cnt == 0:
LOG.fatal("Web user '%s' does not exist. Create it with:\n"
"\n createuser %s", rouser, rouser)
raise UsageError('Missing read-only user.')
if cnt == 0:
LOG.fatal("Web user '%s' does not exist. Create it with:\n"
"\n createuser %s", rouser, rouser)
raise UsageError('Missing read-only user.')
# Create extensions.
with conn.cursor() as cur:
cur.execute('CREATE EXTENSION IF NOT EXISTS hstore')
cur.execute('CREATE EXTENSION IF NOT EXISTS postgis')
postgis_version = conn.postgis_version_tuple()
postgis_version = postgis_version_tuple(conn)
if postgis_version[0] >= 3:
cur.execute('CREATE EXTENSION IF NOT EXISTS postgis_raster')
conn.commit()
_require_version('PostGIS',
conn.postgis_version_tuple(),
postgis_version_tuple(conn),
POSTGIS_REQUIRED_VERSION)
@ -134,12 +137,13 @@ def import_osm_data(osm_files: Union[Path, Sequence[Path]],
with connect(options['dsn']) as conn:
if not ignore_errors:
with conn.cursor() as cur:
cur.execute('SELECT * FROM place LIMIT 1')
cur.execute('SELECT true FROM place LIMIT 1')
if cur.rowcount == 0:
raise UsageError('No data imported by osm2pgsql.')
if drop:
conn.drop_table('planet_osm_nodes')
drop_tables(conn, 'planet_osm_nodes')
conn.commit()
if drop and options['flatnode_file']:
Path(options['flatnode_file']).unlink()
@ -182,7 +186,7 @@ def truncate_data_tables(conn: Connection) -> None:
cur.execute('TRUNCATE location_property_tiger')
cur.execute('TRUNCATE location_property_osmline')
cur.execute('TRUNCATE location_postcode')
if conn.table_exists('search_name'):
if table_exists(conn, 'search_name'):
cur.execute('TRUNCATE search_name')
cur.execute('DROP SEQUENCE IF EXISTS seq_place')
cur.execute('CREATE SEQUENCE seq_place start 100000')
@ -202,54 +206,51 @@ _COPY_COLUMNS = pysql.SQL(',').join(map(pysql.Identifier,
'extratags', 'geometry')))
def load_data(dsn: str, threads: int) -> None:
async def load_data(dsn: str, threads: int) -> None:
""" Copy data into the word and placex table.
"""
sel = selectors.DefaultSelector()
# Then copy data from place to placex in <threads - 1> chunks.
place_threads = max(1, threads - 1)
for imod in range(place_threads):
conn = DBConnection(dsn)
conn.connect()
conn.perform(
pysql.SQL("""INSERT INTO placex ({columns})
SELECT {columns} FROM place
WHERE osm_id % {total} = {mod}
AND NOT (class='place' and (type='houses' or type='postcode'))
AND ST_IsValid(geometry)
""").format(columns=_COPY_COLUMNS,
total=pysql.Literal(place_threads),
mod=pysql.Literal(imod)))
sel.register(conn, selectors.EVENT_READ, conn)
placex_threads = max(1, threads - 1)
# Address interpolations go into another table.
conn = DBConnection(dsn)
conn.connect()
conn.perform("""INSERT INTO location_property_osmline (osm_id, address, linegeo)
SELECT osm_id, address, geometry FROM place
WHERE class='place' and type='houses' and osm_type='W'
and ST_GeometryType(geometry) = 'ST_LineString'
""")
sel.register(conn, selectors.EVENT_READ, conn)
progress = asyncio.create_task(_progress_print())
# Now wait for all of them to finish.
todo = place_threads + 1
while todo > 0:
for key, _ in sel.select(1):
conn = key.data
sel.unregister(conn)
conn.wait()
conn.close()
todo -= 1
async with QueryPool(dsn, placex_threads + 1) as pool:
# Copy data from place to placex in <threads - 1> chunks.
for imod in range(placex_threads):
await pool.put_query(
pysql.SQL("""INSERT INTO placex ({columns})
SELECT {columns} FROM place
WHERE osm_id % {total} = {mod}
AND NOT (class='place'
and (type='houses' or type='postcode'))
AND ST_IsValid(geometry)
""").format(columns=_COPY_COLUMNS,
total=pysql.Literal(placex_threads),
mod=pysql.Literal(imod)), None)
# Interpolations need to be copied seperately
await pool.put_query("""
INSERT INTO location_property_osmline (osm_id, address, linegeo)
SELECT osm_id, address, geometry FROM place
WHERE class='place' and type='houses' and osm_type='W'
and ST_GeometryType(geometry) = 'ST_LineString' """, None)
progress.cancel()
async with await psycopg.AsyncConnection.connect(dsn) as aconn:
await aconn.execute('ANALYSE')
async def _progress_print() -> None:
while True:
try:
await asyncio.sleep(1)
except asyncio.CancelledError:
print('', flush=True)
break
print('.', end='', flush=True)
print('\n')
with connect(dsn) as syn_conn:
with syn_conn.cursor() as cur:
cur.execute('ANALYSE')
def create_search_indices(conn: Connection, config: Configuration,
async def create_search_indices(conn: Connection, config: Configuration,
drop: bool = False, threads: int = 1) -> None:
""" Create tables that have explicit partitioning.
"""
@ -268,5 +269,5 @@ def create_search_indices(conn: Connection, config: Configuration,
sql = SQLPreprocessor(conn, config)
sql.run_parallel_sql_file(config.get_libpq_dsn(),
'indices.sql', min(8, threads), drop=drop)
await sql.run_parallel_sql_file(config.get_libpq_dsn(),
'indices.sql', min(8, threads), drop=drop)

10
src/nominatim_db/tools/freeze.py
View File

@ -10,9 +10,9 @@ Functions for removing unnecessary data from the database.
from typing import Optional
from pathlib import Path
from psycopg2 import sql as pysql
from psycopg import sql as pysql
from ..db.connection import Connection
from ..db.connection import Connection, drop_tables, table_exists
UPDATE_TABLES = [
'address_levels',
@ -39,9 +39,7 @@ def drop_update_tables(conn: Connection) -> None:
+ pysql.SQL(' or ').join(parts))
tables = [r[0] for r in cur]
for table in tables:
cur.drop_table(table, cascade=True)
drop_tables(conn, *tables, cascade=True)
conn.commit()
@ -55,4 +53,4 @@ def is_frozen(conn: Connection) -> bool:
""" Returns true if database is in a frozen state
"""
return conn.table_exists('place') is False
return table_exists(conn, 'place') is False

58
src/nominatim_db/tools/migration.py
View File

@ -10,12 +10,13 @@ Functions for database migration to newer software versions.
from typing import List, Tuple, Callable, Any
import logging
from psycopg2 import sql as pysql
from psycopg import sql as pysql
from ..errors import UsageError
from ..config import Configuration
from ..db import properties
from ..db.connection import connect, Connection
from ..db.connection import connect, Connection, server_version_tuple,\
table_has_column, table_exists, execute_scalar, register_hstore
from ..version import NominatimVersion, NOMINATIM_VERSION, parse_version
from ..tokenizer import factory as tokenizer_factory
from . import refresh
@ -29,7 +30,8 @@ def migrate(config: Configuration, paths: Any) -> int:
if necesssary.
"""
with connect(config.get_libpq_dsn()) as conn:
if conn.table_exists('nominatim_properties'):
register_hstore(conn)
if table_exists(conn, 'nominatim_properties'):
db_version_str = properties.get_property(conn, 'database_version')
else:
db_version_str = None
@ -72,16 +74,15 @@ def _guess_version(conn: Connection) -> NominatimVersion:
Only migrations for 3.6 and later are supported, so bail out
when the version seems older.
"""
with conn.cursor() as cur:
# In version 3.6, the country_name table was updated. Check for that.
cnt = cur.scalar("""SELECT count(*) FROM
(SELECT svals(name) FROM country_name
WHERE country_code = 'gb')x;
""")
if cnt < 100:
LOG.fatal('It looks like your database was imported with a version '
'prior to 3.6.0. Automatic migration not possible.')
raise UsageError('Migration not possible.')
# In version 3.6, the country_name table was updated. Check for that.
cnt = execute_scalar(conn, """SELECT count(*) FROM
(SELECT svals(name) FROM country_name
WHERE country_code = 'gb')x;
""")
if cnt < 100:
LOG.fatal('It looks like your database was imported with a version '
'prior to 3.6.0. Automatic migration not possible.')
raise UsageError('Migration not possible.')
return NominatimVersion(3, 5, 0, 99)
@ -125,7 +126,7 @@ def import_status_timestamp_change(conn: Connection, **_: Any) -> None:
def add_nominatim_property_table(conn: Connection, config: Configuration, **_: Any) -> None:
""" Add nominatim_property table.
"""
if not conn.table_exists('nominatim_properties'):
if not table_exists(conn, 'nominatim_properties'):
with conn.cursor() as cur:
cur.execute(pysql.SQL("""CREATE TABLE nominatim_properties (
property TEXT,
@ -189,13 +190,9 @@ def install_legacy_tokenizer(conn: Connection, config: Configuration, **_: Any)
configuration for the backwards-compatible legacy tokenizer
"""
if properties.get_property(conn, 'tokenizer') is None:
with conn.cursor() as cur:
for table in ('placex', 'location_property_osmline'):
has_column = cur.scalar("""SELECT count(*) FROM information_schema.columns
WHERE table_name = %s
and column_name = 'token_info'""",
(table, ))
if has_column == 0:
for table in ('placex', 'location_property_osmline'):
if not table_has_column(conn, table, 'token_info'):
with conn.cursor() as cur:
cur.execute(pysql.SQL('ALTER TABLE {} ADD COLUMN token_info JSONB')
.format(pysql.Identifier(table)))
tokenizer = tokenizer_factory.create_tokenizer(config, init_db=False,
@ -212,7 +209,7 @@ def create_tiger_housenumber_index(conn: Connection, **_: Any) -> None:
The inclusion is needed for efficient lookup of housenumbers in
full address searches.
"""
if conn.server_version_tuple() >= (11, 0, 0):
if server_version_tuple(conn) >= (11, 0, 0):
with conn.cursor() as cur:
cur.execute(""" CREATE INDEX IF NOT EXISTS
idx_location_property_tiger_housenumber_migrated
@ -239,7 +236,7 @@ def add_step_column_for_interpolation(conn: Connection, **_: Any) -> None:
Also converts the data into the stricter format which requires that
startnumbers comply with the odd/even requirements.
"""
if conn.table_has_column('location_property_osmline', 'step'):
if table_has_column(conn, 'location_property_osmline', 'step'):
return
with conn.cursor() as cur:
@ -271,7 +268,7 @@ def add_step_column_for_interpolation(conn: Connection, **_: Any) -> None:
def add_step_column_for_tiger(conn: Connection, **_: Any) -> None:
""" Add a new column 'step' to the tiger data table.
"""
if conn.table_has_column('location_property_tiger', 'step'):
if table_has_column(conn, 'location_property_tiger', 'step'):
return
with conn.cursor() as cur:
@ -287,7 +284,7 @@ def add_derived_name_column_for_country_names(conn: Connection, **_: Any) -> Non
""" Add a new column 'derived_name' which in the future takes the
country names as imported from OSM data.
"""
if not conn.table_has_column('country_name', 'derived_name'):
if not table_has_column(conn, 'country_name', 'derived_name'):
with conn.cursor() as cur:
cur.execute("ALTER TABLE country_name ADD COLUMN derived_name public.HSTORE")
@ -297,12 +294,9 @@ def mark_internal_country_names(conn: Connection, config: Configuration, **_: An
""" Names from the country table should be marked as internal to prevent
them from being deleted. Only necessary for ICU tokenizer.
"""
import psycopg2.extras # pylint: disable=import-outside-toplevel
tokenizer = tokenizer_factory.get_tokenizer_for_db(config)
with tokenizer.name_analyzer() as analyzer:
with conn.cursor() as cur:
psycopg2.extras.register_hstore(cur)
cur.execute("SELECT country_code, name FROM country_name")
for country_code, names in cur:
@ -319,7 +313,7 @@ def add_place_deletion_todo_table(conn: Connection, **_: Any) -> None:
The table is only necessary when updates are possible, i.e.
the database is not in freeze mode.
"""
if conn.table_exists('place'):
if table_exists(conn, 'place'):
with conn.cursor() as cur:
cur.execute("""CREATE TABLE IF NOT EXISTS place_to_be_deleted (
osm_type CHAR(1),
@ -333,7 +327,7 @@ def add_place_deletion_todo_table(conn: Connection, **_: Any) -> None:
def split_pending_index(conn: Connection, **_: Any) -> None:
""" Reorganise indexes for pending updates.
"""
if conn.table_exists('place'):
if table_exists(conn, 'place'):
with conn.cursor() as cur:
cur.execute("""CREATE INDEX IF NOT EXISTS idx_placex_rank_address_sector
ON placex USING BTREE (rank_address, geometry_sector)
@ -349,7 +343,7 @@ def split_pending_index(conn: Connection, **_: Any) -> None:
def enable_forward_dependencies(conn: Connection, **_: Any) -> None:
""" Create indexes for updates with forward dependency tracking (long-running).
"""
if conn.table_exists('planet_osm_ways'):
if table_exists(conn, 'planet_osm_ways'):
with conn.cursor() as cur:
cur.execute("""SELECT * FROM pg_indexes
WHERE tablename = 'planet_osm_ways'
@ -398,7 +392,7 @@ def create_postcode_area_lookup_index(conn: Connection, **_: Any) -> None:
def create_postcode_parent_index(conn: Connection, **_: Any) -> None:
""" Create index needed for updating postcodes when a parent changes.
"""
if conn.table_exists('planet_osm_ways'):
if table_exists(conn, 'planet_osm_ways'):
with conn.cursor() as cur:
cur.execute("""CREATE INDEX IF NOT EXISTS
idx_location_postcode_parent_place_id

32
src/nominatim_db/tools/postcodes.py
View File

@ -16,9 +16,9 @@ import gzip
import logging
from math import isfinite
from psycopg2 import sql as pysql
from psycopg import sql as pysql
from ..db.connection import connect, Connection
from ..db.connection import connect, Connection, table_exists
from ..utils.centroid import PointsCentroid
from ..data.postcode_format import PostcodeFormatter, CountryPostcodeMatcher
from ..tokenizer.base import AbstractAnalyzer, AbstractTokenizer
@ -76,30 +76,30 @@ class _PostcodeCollector:
with conn.cursor() as cur:
if to_add:
cur.execute_values(
cur.executemany(pysql.SQL(
"""INSERT INTO location_postcode
(place_id, indexed_status, country_code,
postcode, geometry) VALUES %s""",
to_add,
template=pysql.SQL("""(nextval('seq_place'), 1, {},
%s, 'SRID=4326;POINT(%s %s)')
""").format(pysql.Literal(self.country)))
postcode, geometry)
VALUES (nextval('seq_place'), 1, {}, %s,
ST_SetSRID(ST_MakePoint(%s, %s), 4326))
""").format(pysql.Literal(self.country)),
to_add)
if to_delete:
cur.execute("""DELETE FROM location_postcode
WHERE country_code = %s and postcode = any(%s)
""", (self.country, to_delete))
if to_update:
cur.execute_values(
cur.executemany(
pysql.SQL("""UPDATE location_postcode
SET indexed_status = 2,
geometry = ST_SetSRID(ST_Point(v.x, v.y), 4326)
FROM (VALUES %s) AS v (pc, x, y)
WHERE country_code = {} and postcode = pc
""").format(pysql.Literal(self.country)), to_update)
geometry = ST_SetSRID(ST_Point(%s, %s), 4326)
WHERE country_code = {} and postcode = %s
""").format(pysql.Literal(self.country)),
to_update)
def _compute_changes(self, conn: Connection) \
-> Tuple[List[Tuple[str, float, float]], List[str], List[Tuple[str, float, float]]]:
-> Tuple[List[Tuple[str, float, float]], List[str], List[Tuple[float, float, str]]]:
""" Compute which postcodes from the collected postcodes have to be
added or modified and which from the location_postcode table
have to be deleted.
@ -116,7 +116,7 @@ class _PostcodeCollector:
if pcobj:
newx, newy = pcobj.centroid()
if (x - newx) > 0.0000001 or (y - newy) > 0.0000001:
to_update.append((postcode, newx, newy))
to_update.append((newx, newy, postcode))
else:
to_delete.append(postcode)
@ -231,4 +231,4 @@ def can_compute(dsn: str) -> bool:
postcodes can be computed.
"""
with connect(dsn) as conn:
return conn.table_exists('place')
return table_exists(conn, 'place')

52
src/nominatim_db/tools/refresh.py
View File

@ -14,11 +14,12 @@ import logging
from textwrap import dedent
from pathlib import Path
from psycopg2 import sql as pysql
from psycopg import sql as pysql
from ..config import Configuration
from ..db.connection import Connection, connect
from ..db.utils import execute_file, CopyBuffer
from ..db.connection import Connection, connect, postgis_version_tuple,\
drop_tables, table_exists
from ..db.utils import execute_file
from ..db.sql_preprocessor import SQLPreprocessor
from ..version import NOMINATIM_VERSION
@ -56,9 +57,9 @@ def load_address_levels(conn: Connection, table: str, levels: Sequence[Mapping[s
for entry in levels:
_add_address_level_rows_from_entry(rows, entry)
with conn.cursor() as cur:
cur.drop_table(table)
drop_tables(conn, table)
with conn.cursor() as cur:
cur.execute(pysql.SQL("""CREATE TABLE {} (
country_code varchar(2),
class TEXT,
@ -67,8 +68,8 @@ def load_address_levels(conn: Connection, table: str, levels: Sequence[Mapping[s
rank_address SMALLINT)
""").format(pysql.Identifier(table)))
cur.execute_values(pysql.SQL("INSERT INTO {} VALUES %s")
.format(pysql.Identifier(table)), rows)
cur.executemany(pysql.SQL("INSERT INTO {} VALUES (%s, %s, %s, %s, %s)")
.format(pysql.Identifier(table)), rows)
cur.execute(pysql.SQL('CREATE UNIQUE INDEX ON {} (country_code, class, type)')
.format(pysql.Identifier(table)))
@ -154,15 +155,13 @@ def import_importance_csv(dsn: str, data_file: Path) -> int:
if not data_file.exists():
return 1
# Only import the first occurence of a wikidata ID.
# Only import the first occurrence of a wikidata ID.
# This keeps indexes and table small.
wd_done = set()
with connect(dsn) as conn:
drop_tables(conn, 'wikipedia_article', 'wikipedia_redirect', 'wikimedia_importance')
with conn.cursor() as cur:
cur.drop_table('wikipedia_article')
cur.drop_table('wikipedia_redirect')
cur.drop_table('wikimedia_importance')
cur.execute("""CREATE TABLE wikimedia_importance (
language TEXT NOT NULL,
title TEXT NOT NULL,
@ -170,24 +169,17 @@ def import_importance_csv(dsn: str, data_file: Path) -> int:
wikidata TEXT
) """)
with gzip.open(str(data_file), 'rt') as fd, CopyBuffer() as buf:
for row in csv.DictReader(fd, delimiter='\t', quotechar='|'):
wd_id = int(row['wikidata_id'][1:])
buf.add(row['language'], row['title'], row['importance'],
None if wd_id in wd_done else row['wikidata_id'])
wd_done.add(wd_id)
copy_cmd = """COPY wikimedia_importance(language, title, importance, wikidata)
FROM STDIN"""
with gzip.open(str(data_file), 'rt') as fd, cur.copy(copy_cmd) as copy:
for row in csv.DictReader(fd, delimiter='\t', quotechar='|'):
wd_id = int(row['wikidata_id'][1:])
copy.write_row((row['language'],
row['title'],
row['importance'],
None if wd_id in wd_done else row['wikidata_id']))
wd_done.add(wd_id)
if buf.size() > 10000000:
with conn.cursor() as cur:
buf.copy_out(cur, 'wikimedia_importance',
columns=['language', 'title', 'importance',
'wikidata'])
with conn.cursor() as cur:
buf.copy_out(cur, 'wikimedia_importance',
columns=['language', 'title', 'importance', 'wikidata'])
with conn.cursor() as cur:
cur.execute("""CREATE INDEX IF NOT EXISTS idx_wikimedia_importance_title
ON wikimedia_importance (title)""")
cur.execute("""CREATE INDEX IF NOT EXISTS idx_wikimedia_importance_wikidata
@ -228,7 +220,7 @@ def import_secondary_importance(dsn: str, data_path: Path, ignore_errors: bool =
return 1
with connect(dsn) as conn:
postgis_version = conn.postgis_version_tuple()
postgis_version = postgis_version_tuple(conn)
if postgis_version[0] < 3:
LOG.error('PostGIS version is too old for using OSM raster data.')
return 2
@ -309,7 +301,7 @@ def setup_website(basedir: Path, config: Configuration, conn: Connection) -> Non
template = "\nrequire_once(CONST_LibDir.'/website/{}');\n"
search_name_table_exists = bool(conn and conn.table_exists('search_name'))
search_name_table_exists = bool(conn and table_exists(conn, 'search_name'))
for script in WEBSITE_SCRIPTS:
if not search_name_table_exists and script == 'search.php':

4
src/nominatim_db/tools/replication.py
View File

@ -20,7 +20,7 @@ import requests
from ..errors import UsageError
from ..db import status
from ..db.connection import Connection, connect
from ..db.connection import Connection, connect, server_version_tuple
from .exec_utils import run_osm2pgsql
try:
@ -155,7 +155,7 @@ def run_osm2pgsql_updates(conn: Connection, options: MutableMapping[str, Any]) -
# Consume updates with osm2pgsql.
options['append'] = True
options['disable_jit'] = conn.server_version_tuple() >= (11, 0)
options['disable_jit'] = server_version_tuple(conn) >= (11, 0)
run_osm2pgsql(options)
# Handle deletions

16
src/nominatim_db/tools/special_phrases/sp_importer.py
View File

@ -17,11 +17,11 @@ from typing import Iterable, Tuple, Mapping, Sequence, Optional, Set
import logging
import re
from psycopg2.sql import Identifier, SQL
from psycopg.sql import Identifier, SQL
from ...typing import Protocol
from ...config import Configuration
from ...db.connection import Connection
from ...db.connection import Connection, drop_tables, index_exists
from .importer_statistics import SpecialPhrasesImporterStatistics
from .special_phrase import SpecialPhrase
from ...tokenizer.base import AbstractTokenizer
@ -233,7 +233,7 @@ class SPImporter():
index_prefix = f'idx_place_classtype_{phrase_class}_{phrase_type}_'
base_table = _classtype_table(phrase_class, phrase_type)
# Index on centroid
if not self.db_connection.index_exists(index_prefix + 'centroid'):
if not index_exists(self.db_connection, index_prefix + 'centroid'):
with self.db_connection.cursor() as db_cursor:
db_cursor.execute(SQL("CREATE INDEX {} ON {} USING GIST (centroid) {}")
.format(Identifier(index_prefix + 'centroid'),
@ -241,7 +241,7 @@ class SPImporter():
SQL(sql_tablespace)))
# Index on place_id
if not self.db_connection.index_exists(index_prefix + 'place_id'):
if not index_exists(self.db_connection, index_prefix + 'place_id'):
with self.db_connection.cursor() as db_cursor:
db_cursor.execute(SQL("CREATE INDEX {} ON {} USING btree(place_id) {}")
.format(Identifier(index_prefix + 'place_id'),
@ -259,6 +259,7 @@ class SPImporter():
.format(Identifier(table_name),
Identifier(self.config.DATABASE_WEBUSER)))
def _remove_non_existent_tables_from_db(self) -> None:
"""
Remove special phrases which doesn't exist on the wiki anymore.
@ -268,7 +269,6 @@ class SPImporter():
# Delete place_classtype tables corresponding to class/type which
# are not on the wiki anymore.
with self.db_connection.cursor() as db_cursor:
for table in self.table_phrases_to_delete:
self.statistics_handler.notify_one_table_deleted()
db_cursor.drop_table(table)
drop_tables(self.db_connection, *self.table_phrases_to_delete)
for _ in self.table_phrases_to_delete:
self.statistics_handler.notify_one_table_deleted()

82
src/nominatim_db/tools/tiger_data.py
View File

@ -7,22 +7,22 @@
"""
Functions for importing tiger data and handling tarbar and directory files
"""
from typing import Any, TextIO, List, Union, cast
from typing import Any, TextIO, List, Union, cast, Iterator, Dict
import csv
import io
import logging
import os
import tarfile
from psycopg2.extras import Json
from psycopg.types.json import Json
from ..config import Configuration
from ..db.connection import connect
from ..db.async_connection import WorkerPool
from ..db.sql_preprocessor import SQLPreprocessor
from ..errors import UsageError
from ..db.query_pool import QueryPool
from ..data.place_info import PlaceInfo
from ..tokenizer.base import AbstractAnalyzer, AbstractTokenizer
from ..tokenizer.base import AbstractTokenizer
from . import freeze
LOG = logging.getLogger()
@ -63,13 +63,13 @@ class TigerInput:
self.tar_handle.close()
self.tar_handle = None
def __bool__(self) -> bool:
return bool(self.files)
def next_file(self) -> TextIO:
def get_file(self, fname: Union[str, tarfile.TarInfo]) -> TextIO:
""" Return a file handle to the next file to be processed.
Raises an IndexError if there is no file left.
"""
fname = self.files.pop(0)
if self.tar_handle is not None:
extracted = self.tar_handle.extractfile(fname)
assert extracted is not None
@ -78,47 +78,22 @@ class TigerInput:
return open(cast(str, fname), encoding='utf-8')
def __len__(self) -> int:
return len(self.files)
def __iter__(self) -> Iterator[Dict[str, Any]]:
""" Iterate over the lines in each file.
"""
for fname in self.files:
fd = self.get_file(fname)
yield from csv.DictReader(fd, delimiter=';')
def handle_threaded_sql_statements(pool: WorkerPool, fd: TextIO,
analyzer: AbstractAnalyzer) -> None:
""" Handles sql statement with multiplexing
"""
lines = 0
# Using pool of database connections to execute sql statements
sql = "SELECT tiger_line_import(%s, %s, %s, %s, %s, %s)"
for row in csv.DictReader(fd, delimiter=';'):
try:
address = dict(street=row['street'], postcode=row['postcode'])
args = ('SRID=4326;' + row['geometry'],
int(row['from']), int(row['to']), row['interpolation'],
Json(analyzer.process_place(PlaceInfo({'address': address}))),
analyzer.normalize_postcode(row['postcode']))
except ValueError:
continue
pool.next_free_worker().perform(sql, args=args)
lines += 1
if lines == 1000:
print('.', end='', flush=True)
lines = 0
def add_tiger_data(data_dir: str, config: Configuration, threads: int,
async def add_tiger_data(data_dir: str, config: Configuration, threads: int,
tokenizer: AbstractTokenizer) -> int:
""" Import tiger data from directory or tar file `data dir`.
"""
dsn = config.get_libpq_dsn()
with connect(dsn) as conn:
is_frozen = freeze.is_frozen(conn)
conn.close()
if is_frozen:
if freeze.is_frozen(conn):
raise UsageError("Tiger cannot be imported when database frozen (Github issue #3048)")
with TigerInput(data_dir) as tar:
@ -133,13 +108,30 @@ def add_tiger_data(data_dir: str, config: Configuration, threads: int,
# sql_query in <threads - 1> chunks.
place_threads = max(1, threads - 1)
with WorkerPool(dsn, place_threads, ignore_sql_errors=True) as pool:
async with QueryPool(dsn, place_threads, autocommit=True) as pool:
with tokenizer.name_analyzer() as analyzer:
while tar:
with tar.next_file() as fd:
handle_threaded_sql_statements(pool, fd, analyzer)
lines = 0
for row in tar:
try:
address = dict(street=row['street'], postcode=row['postcode'])
args = ('SRID=4326;' + row['geometry'],
int(row['from']), int(row['to']), row['interpolation'],
Json(analyzer.process_place(PlaceInfo({'address': address}))),
analyzer.normalize_postcode(row['postcode']))
except ValueError:
continue
print('\n')
await pool.put_query(
"""SELECT tiger_line_import(%s::GEOMETRY, %s::INT,
%s::INT, %s::TEXT, %s::JSONB, %s::TEXT)""",
args)
lines += 1
if lines == 1000:
print('.', end='', flush=True)
lines = 0
print('', flush=True)
LOG.warning("Creating indexes on Tiger data")
with connect(dsn) as conn:

9
src/nominatim_db/typing.py
View File

@ -16,18 +16,13 @@ from typing import Any, Union, Mapping, TypeVar, Sequence, TYPE_CHECKING
# pylint: disable=missing-class-docstring,useless-import-alias
if TYPE_CHECKING:
import psycopg2.sql
import psycopg2.extensions
import psycopg2.extras
import os
StrPath = Union[str, 'os.PathLike[str]']
SysEnv = Mapping[str, str]
# psycopg2-related types
Query = Union[str, bytes, 'psycopg2.sql.Composable']
# psycopg-related types
T_ResultKey = TypeVar('T_ResultKey', int, str)
@ -36,8 +31,6 @@ class DictCursorResult(Mapping[str, Any]):
DictCursorResults = Sequence[DictCursorResult]
T_cursor = TypeVar('T_cursor', bound='psycopg2.extensions.cursor')
# The following typing features require typing_extensions to work
# on all supported Python versions.
# Only require this for type checking but not for normal operations.

3
src/nominatim_db/version.py
View File

@ -31,7 +31,7 @@ class NominatimVersion(NamedTuple):
major: int
minor: int
patch_level: int
db_patch_level: Optional[int]
db_patch_level: int
def __str__(self) -> str:
if self.db_patch_level is None:
@ -47,6 +47,7 @@ class NominatimVersion(NamedTuple):
return f"{self.major}.{self.minor}.{self.patch_level}"
def parse_version(version: str) -> NominatimVersion:
""" Parse a version string into a version consisting of a tuple of
four ints: major, minor, patch level, database patch level

57
test/bdd/steps/nominatim_environment.py
View File

@ -9,14 +9,14 @@ import importlib
import sys
import tempfile
import psycopg2
import psycopg2.extras
import psycopg
from psycopg import sql as pysql
sys.path.insert(1, str((Path(__file__) / '..' / '..' / '..' / '..'/ 'src').resolve()))
from nominatim_db import cli
from nominatim_db.config import Configuration
from nominatim_db.db.connection import Connection
from nominatim_db.db.connection import Connection, register_hstore, execute_scalar
from nominatim_db.tools import refresh
from nominatim_db.tokenizer import factory as tokenizer_factory
from steps.utils import run_script
@ -60,7 +60,7 @@ class NominatimEnvironment:
""" Return a connection to the database with the given name.
Uses configured host, user and port.
"""
dbargs = {'database': dbname}
dbargs = {'dbname': dbname, 'row_factory': psycopg.rows.dict_row}
if self.db_host:
dbargs['host'] = self.db_host
if self.db_port:
@ -69,8 +69,7 @@ class NominatimEnvironment:
dbargs['user'] = self.db_user
if self.db_pass:
dbargs['password'] = self.db_pass
conn = psycopg2.connect(connection_factory=Connection, **dbargs)
return conn
return psycopg.connect(**dbargs)
def next_code_coverage_file(self):
""" Generate the next name for a coverage file.
@ -132,6 +131,8 @@ class NominatimEnvironment:
conn = False
refresh.setup_website(Path(self.website_dir.name) / 'website',
self.get_test_config(), conn)
if conn:
conn.close()
def get_test_config(self):
@ -160,11 +161,10 @@ class NominatimEnvironment:
def db_drop_database(self, name):
""" Drop the database with the given name.
"""
conn = self.connect_database('postgres')
conn.set_isolation_level(0)
cur = conn.cursor()
cur.execute('DROP DATABASE IF EXISTS {}'.format(name))
conn.close()
with self.connect_database('postgres') as conn:
conn.autocommit = True
conn.execute(pysql.SQL('DROP DATABASE IF EXISTS')
+ pysql.Identifier(name))
def setup_template_db(self):
""" Setup a template database that already contains common test data.
@ -249,16 +249,18 @@ class NominatimEnvironment:
""" Setup a test against a fresh, empty test database.
"""
self.setup_template_db()
conn = self.connect_database(self.template_db)
conn.set_isolation_level(0)
cur = conn.cursor()
cur.execute('DROP DATABASE IF EXISTS {}'.format(self.test_db))
cur.execute('CREATE DATABASE {} TEMPLATE = {}'.format(self.test_db, self.template_db))
conn.close()
with self.connect_database(self.template_db) as conn:
conn.autocommit = True
conn.execute(pysql.SQL('DROP DATABASE IF EXISTS')
+ pysql.Identifier(self.test_db))
conn.execute(pysql.SQL('CREATE DATABASE {} TEMPLATE = {}').format(
pysql.Identifier(self.test_db),
pysql.Identifier(self.template_db)))
self.write_nominatim_config(self.test_db)
context.db = self.connect_database(self.test_db)
context.db.autocommit = True
psycopg2.extras.register_hstore(context.db, globally=False)
register_hstore(context.db)
def teardown_db(self, context, force_drop=False):
""" Remove the test database, if it exists.
@ -276,31 +278,26 @@ class NominatimEnvironment:
dropped and always false returned.
"""
if self.reuse_template:
conn = self.connect_database('postgres')
with conn.cursor() as cur:
cur.execute('select count(*) from pg_database where datname = %s',
(name,))
if cur.fetchone()[0] == 1:
with self.connect_database('postgres') as conn:
num = execute_scalar(conn,
'select count(*) from pg_database where datname = %s',
(name,))
if num == 1:
return True
conn.close()
else:
self.db_drop_database(name)
return False
def reindex_placex(self, db):
""" Run the indexing step until all data in the placex has
been processed. Indexing during updates can produce more data
to index under some circumstances. That is why indexing may have
to be run multiple times.
"""
with db.cursor() as cur:
while True:
self.run_nominatim('index')
self.run_nominatim('index')
cur.execute("SELECT 'a' FROM placex WHERE indexed_status != 0 LIMIT 1")
if cur.rowcount == 0:
return
def run_nominatim(self, *cmdline):
""" Run the nominatim command-line tool via the library.

44
test/bdd/steps/steps_db_ops.py
View File

@ -7,7 +7,8 @@
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
@ -18,7 +19,7 @@ from nominatim_db.tokenizer import factory as tokenizer_factory
def check_database_integrity(context):
""" Check some generic constraints on the tables.
"""
with context.db.cursor() as cur:
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
@ -54,7 +55,7 @@ def add_data_to_planet_relations(context):
with context.db.cursor() as cur:
cur.execute("SELECT value FROM osm2pgsql_properties WHERE property = 'db_format'")
row = cur.fetchone()
if row is None or row[0] == '1':
if row is None or row['value'] == '1':
for r in context.table:
last_node = 0
last_way = 0
@ -96,8 +97,8 @@ def add_data_to_planet_relations(context):
cur.execute("""INSERT INTO planet_osm_rels (id, tags, members)
VALUES (%s, %s, %s)""",
(r['id'], psycopg2.extras.Json(tags),
psycopg2.extras.Json(members)))
(r['id'], psycopg.types.json.Json(tags),
psycopg.types.json.Json(members)))
@given("the ways")
def add_data_to_planet_ways(context):
@ -107,10 +108,10 @@ def add_data_to_planet_ways(context):
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[0] != '1'
json_tags = row is not None and row['value'] != '1'
for r in context.table:
if json_tags:
tags = psycopg2.extras.Json({h[5:]: r[h] for h in r.headings if h.startswith("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+")]))
@ -197,7 +198,7 @@ def check_place_contents(context, table, exact):
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'])
@ -215,8 +216,9 @@ def check_place_contents(context, table, exact):
DBRow(nid, res, context).assert_row(row, ['object'])
if exact:
cur.execute('SELECT osm_type, osm_id, class from {}'.format(table))
actual = 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}"
@ -227,7 +229,7 @@ def check_place_has_entry(context, table, 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)
@ -244,7 +246,7 @@ def check_search_name_contents(context, exclude):
tokenizer = tokenizer_factory.get_tokenizer_for_db(context.nominatim.get_test_config())
with tokenizer.name_analyzer() as analyzer:
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'])
nid.row_by_place_id(cur, 'search_name',
@ -276,7 +278,7 @@ 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, \
@ -290,7 +292,7 @@ def check_location_postcode(context):
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 {}.".format(cur.rowcount, len(list(context.table)))
@ -321,7 +323,7 @@ def check_word_table_for_postcodes(context, exclude, postcodes):
plist.sort()
with context.db.cursor(cursor_factory=psycopg2.extras.DictCursor) as cur:
with context.db.cursor() as cur:
if nctx.tokenizer != 'legacy':
cur.execute("SELECT word FROM word WHERE type = 'P' and word = any(%s)",
(plist,))
@ -330,7 +332,7 @@ def check_word_table_for_postcodes(context, exclude, postcodes):
and class = 'place' and type = 'postcode'""",
(plist,))
found = [row[0] for row in cur]
found = [row['word'] for row in cur]
assert len(found) == len(set(found)), f"Duplicate rows for postcodes: {found}"
if exclude:
@ -347,7 +349,7 @@ def check_place_addressline(context):
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)
@ -366,7 +368,7 @@ def check_place_addressline_exclude(context):
""" 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, allow_empty=True)
@ -381,7 +383,7 @@ def check_place_addressline_exclude(context):
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""",
@ -417,7 +419,7 @@ def check_place_contents(context, exact):
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:
if ':' in row['object']:
@ -447,7 +449,7 @@ def check_place_contents(context, exact):
if exact:
cur.execute('SELECT osm_id, startnumber from location_property_osmline')
actual = set([(r[0], r[1]) for r in cur])
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}"

23
test/bdd/steps/table_compare.py
View File

@ -10,6 +10,9 @@ Functions to facilitate accessing and comparing the content of DB tables.
import re
import json
import psycopg
from psycopg import sql as pysql
from steps.check_functions import Almost
ID_REGEX = re.compile(r"(?P<typ>[NRW])(?P<oid>\d+)(:(?P<cls>\w+))?")
@ -73,7 +76,7 @@ class NominatimID:
assert cur.rowcount == 1, \
"Place ID {!s} not unique. Found {} entries.".format(self, cur.rowcount)
return cur.fetchone()[0]
return cur.fetchone()['place_id']
class DBRow:
@ -152,9 +155,10 @@ class DBRow:
def _has_centroid(self, expected):
if expected == 'in geometry':
with self.context.db.cursor() as cur:
cur.execute("""SELECT ST_Within(ST_SetSRID(ST_Point({cx}, {cy}), 4326),
ST_SetSRID('{geomtxt}'::geometry, 4326))""".format(**self.db_row))
with self.context.db.cursor(row_factory=psycopg.rows.tuple_row) as cur:
cur.execute("""SELECT ST_Within(ST_SetSRID(ST_Point(%(cx)s, %(cy)s), 4326),
ST_SetSRID(%(geomtxt)s::geometry, 4326))""",
(self.db_row))
return cur.fetchone()[0]
if ' ' in expected:
@ -166,10 +170,11 @@ class DBRow:
def _has_geometry(self, expected):
geom = self.context.osm.parse_geometry(expected)
with self.context.db.cursor() as cur:
cur.execute("""SELECT ST_Equals(ST_SnapToGrid({}, 0.00001, 0.00001),
ST_SnapToGrid(ST_SetSRID('{}'::geometry, 4326), 0.00001, 0.00001))""".format(
geom, self.db_row['geomtxt']))
with self.context.db.cursor(row_factory=psycopg.rows.tuple_row) as cur:
cur.execute(pysql.SQL("""SELECT ST_Equals(ST_SnapToGrid({}, 0.00001, 0.00001),
ST_SnapToGrid(ST_SetSRID({}::geometry, 4326), 0.00001, 0.00001))""")
.format(pysql.SQL(geom),
pysql.Literal(self.db_row['geomtxt'])))
return cur.fetchone()[0]
def assert_msg(self, name, value):
@ -209,7 +214,7 @@ class DBRow:
if actual == 0:
return "place ID 0"
with self.context.db.cursor() as cur:
with self.context.db.cursor(row_factory=psycopg.rows.tuple_row) as cur:
cur.execute("""SELECT osm_type, osm_id, class
FROM placex WHERE place_id = %s""",
(actual, ))

3
test/python/api/test_api_deletable_v1.py
View File

@ -13,8 +13,6 @@ from pathlib import Path
import pytest
import pytest_asyncio
import psycopg2.extras
from fake_adaptor import FakeAdaptor, FakeError, FakeResponse
import nominatim_api.v1.server_glue as glue
@ -31,7 +29,6 @@ class TestDeletableEndPoint:
@pytest.fixture(autouse=True)
def setup_deletable_table(self, temp_db_cursor, table_factory, temp_db_with_extensions):
psycopg2.extras.register_hstore(temp_db_cursor)
table_factory('import_polygon_delete',
definition='osm_id bigint, osm_type char(1), class text, type text',
content=[(345, 'N', 'boundary', 'administrative'),

4
test/python/api/test_api_polygons_v1.py
View File

@ -14,8 +14,6 @@ from pathlib import Path
import pytest
import pytest_asyncio
import psycopg2.extras
from fake_adaptor import FakeAdaptor, FakeError, FakeResponse
import nominatim_api.v1.server_glue as glue
@ -32,8 +30,6 @@ class TestPolygonsEndPoint:
@pytest.fixture(autouse=True)
def setup_deletable_table(self, temp_db_cursor, table_factory, temp_db_with_extensions):
psycopg2.extras.register_hstore(temp_db_cursor)
self.now = dt.datetime.now()
self.recent = dt.datetime.now() - dt.timedelta(days=3)

28
test/python/cli/conftest.py
View File

@ -25,6 +25,23 @@ class MockParamCapture:
return self.return_value
class AsyncMockParamCapture:
""" Mock that records the parameters with which a function was called
as well as the number of calls.
"""
def __init__(self, retval=0):
self.called = 0
self.return_value = retval
self.last_args = None
self.last_kwargs = None
async def __call__(self, *args, **kwargs):
self.called += 1
self.last_args = args
self.last_kwargs = kwargs
return self.return_value
class DummyTokenizer:
def __init__(self, *args, **kwargs):
self.update_sql_functions_called = False
@ -69,6 +86,17 @@ def mock_func_factory(monkeypatch):
return get_mock
@pytest.fixture
def async_mock_func_factory(monkeypatch):
def get_mock(module, func):
mock = AsyncMockParamCapture()
mock.func_name = func
monkeypatch.setattr(module, func, mock)
return mock
return get_mock
@pytest.fixture
def cli_tokenizer_mock(monkeypatch):
tok = DummyTokenizer()

54
test/python/cli/test_cli.py
View File

@ -17,6 +17,7 @@ import pytest
import nominatim_db.indexer.indexer
import nominatim_db.tools.add_osm_data
import nominatim_db.tools.freeze
import nominatim_db.tools.tiger_data
def test_cli_help(cli_call, capsys):
@ -52,8 +53,8 @@ def test_cli_add_data_object_command(cli_call, mock_func_factory, name, oid):
def test_cli_add_data_tiger_data(cli_call, cli_tokenizer_mock, mock_func_factory):
mock = mock_func_factory(nominatim_db.tools.tiger_data, 'add_tiger_data')
def test_cli_add_data_tiger_data(cli_call, cli_tokenizer_mock, async_mock_func_factory):
mock = async_mock_func_factory(nominatim_db.tools.tiger_data, 'add_tiger_data')
assert cli_call('add-data', '--tiger-data', 'somewhere') == 0
@ -68,38 +69,6 @@ def test_cli_serve_php(cli_call, mock_func_factory):
assert func.called == 1
def test_cli_serve_starlette_custom_server(cli_call, mock_func_factory):
pytest.importorskip("starlette")
mod = pytest.importorskip("uvicorn")
func = mock_func_factory(mod, "run")
cli_call('serve', '--engine', 'starlette', '--server', 'foobar:4545') == 0
assert func.called == 1
assert func.last_kwargs['host'] == 'foobar'
assert func.last_kwargs['port'] == 4545
def test_cli_serve_starlette_custom_server_bad_port(cli_call, mock_func_factory):
pytest.importorskip("starlette")
mod = pytest.importorskip("uvicorn")
func = mock_func_factory(mod, "run")
cli_call('serve', '--engine', 'starlette', '--server', 'foobar:45:45') == 1
@pytest.mark.parametrize("engine", ['falcon', 'starlette'])
def test_cli_serve_uvicorn_based(cli_call, engine, mock_func_factory):
pytest.importorskip(engine)
mod = pytest.importorskip("uvicorn")
func = mock_func_factory(mod, "run")
cli_call('serve', '--engine', engine) == 0
assert func.called == 1
assert func.last_kwargs['host'] == '127.0.0.1'
assert func.last_kwargs['port'] == 8088
class TestCliWithDb:
@ -120,16 +89,19 @@ class TestCliWithDb:
@pytest.mark.parametrize("params,do_bnds,do_ranks", [
([], 1, 1),
(['--boundaries-only'], 1, 0),
(['--no-boundaries'], 0, 1),
([], 2, 2),
(['--boundaries-only'], 2, 0),
(['--no-boundaries'], 0, 2),
(['--boundaries-only', '--no-boundaries'], 0, 0)])
def test_index_command(self, mock_func_factory, table_factory,
def test_index_command(self, monkeypatch, async_mock_func_factory, table_factory,
params, do_bnds, do_ranks):
table_factory('import_status', 'indexed bool')
bnd_mock = mock_func_factory(nominatim_db.indexer.indexer.Indexer, 'index_boundaries')
rank_mock = mock_func_factory(nominatim_db.indexer.indexer.Indexer, 'index_by_rank')
postcode_mock = mock_func_factory(nominatim_db.indexer.indexer.Indexer, 'index_postcodes')
bnd_mock = async_mock_func_factory(nominatim_db.indexer.indexer.Indexer, 'index_boundaries')
rank_mock = async_mock_func_factory(nominatim_db.indexer.indexer.Indexer, 'index_by_rank')
postcode_mock = async_mock_func_factory(nominatim_db.indexer.indexer.Indexer, 'index_postcodes')
monkeypatch.setattr(nominatim_db.indexer.indexer.Indexer, 'has_pending',
[False, True].pop)
assert self.call_nominatim('index', *params) == 0

29
test/python/cli/test_cmd_import.py
View File

@ -34,7 +34,8 @@ class TestCliImportWithDb:
@pytest.mark.parametrize('with_updates', [True, False])
def test_import_full(self, mock_func_factory, with_updates, place_table, property_table):
def test_import_full(self, mock_func_factory, async_mock_func_factory,
with_updates, place_table, property_table):
mocks = [
mock_func_factory(nominatim_db.tools.database_import, 'setup_database_skeleton'),
mock_func_factory(nominatim_db.data.country_info, 'setup_country_tables'),
@ -42,15 +43,15 @@ class TestCliImportWithDb:
mock_func_factory(nominatim_db.tools.refresh, 'import_wikipedia_articles'),
mock_func_factory(nominatim_db.tools.refresh, 'import_secondary_importance'),
mock_func_factory(nominatim_db.tools.database_import, 'truncate_data_tables'),
mock_func_factory(nominatim_db.tools.database_import, 'load_data'),
async_mock_func_factory(nominatim_db.tools.database_import, 'load_data'),
mock_func_factory(nominatim_db.tools.database_import, 'create_tables'),
mock_func_factory(nominatim_db.tools.database_import, 'create_table_triggers'),
mock_func_factory(nominatim_db.tools.database_import, 'create_partition_tables'),
mock_func_factory(nominatim_db.tools.database_import, 'create_search_indices'),
async_mock_func_factory(nominatim_db.tools.database_import, 'create_search_indices'),
mock_func_factory(nominatim_db.data.country_info, 'create_country_names'),
mock_func_factory(nominatim_db.tools.refresh, 'load_address_levels_from_config'),
mock_func_factory(nominatim_db.tools.postcodes, 'update_postcodes'),
mock_func_factory(nominatim_db.indexer.indexer.Indexer, 'index_full'),
async_mock_func_factory(nominatim_db.indexer.indexer.Indexer, 'index_full'),
mock_func_factory(nominatim_db.tools.refresh, 'setup_website'),
]
@ -72,14 +73,14 @@ class TestCliImportWithDb:
assert mock.called == 1, "Mock '{}' not called".format(mock.func_name)
def test_import_continue_load_data(self, mock_func_factory):
def test_import_continue_load_data(self, mock_func_factory, async_mock_func_factory):
mocks = [
mock_func_factory(nominatim_db.tools.database_import, 'truncate_data_tables'),
mock_func_factory(nominatim_db.tools.database_import, 'load_data'),
mock_func_factory(nominatim_db.tools.database_import, 'create_search_indices'),
async_mock_func_factory(nominatim_db.tools.database_import, 'load_data'),
async_mock_func_factory(nominatim_db.tools.database_import, 'create_search_indices'),
mock_func_factory(nominatim_db.data.country_info, 'create_country_names'),
mock_func_factory(nominatim_db.tools.postcodes, 'update_postcodes'),
mock_func_factory(nominatim_db.indexer.indexer.Indexer, 'index_full'),
async_mock_func_factory(nominatim_db.indexer.indexer.Indexer, 'index_full'),
mock_func_factory(nominatim_db.tools.refresh, 'setup_website'),
mock_func_factory(nominatim_db.db.properties, 'set_property')
]
@ -91,12 +92,12 @@ class TestCliImportWithDb:
assert mock.called == 1, "Mock '{}' not called".format(mock.func_name)
def test_import_continue_indexing(self, mock_func_factory, placex_table,
temp_db_conn):
def test_import_continue_indexing(self, mock_func_factory, async_mock_func_factory,
placex_table, temp_db_conn):
mocks = [
mock_func_factory(nominatim_db.tools.database_import, 'create_search_indices'),
async_mock_func_factory(nominatim_db.tools.database_import, 'create_search_indices'),
mock_func_factory(nominatim_db.data.country_info, 'create_country_names'),
mock_func_factory(nominatim_db.indexer.indexer.Indexer, 'index_full'),
async_mock_func_factory(nominatim_db.indexer.indexer.Indexer, 'index_full'),
mock_func_factory(nominatim_db.tools.refresh, 'setup_website'),
mock_func_factory(nominatim_db.db.properties, 'set_property')
]
@ -110,9 +111,9 @@ class TestCliImportWithDb:
assert self.call_nominatim('import', '--continue', 'indexing') == 0
def test_import_continue_postprocess(self, mock_func_factory):
def test_import_continue_postprocess(self, mock_func_factory, async_mock_func_factory):
mocks = [
mock_func_factory(nominatim_db.tools.database_import, 'create_search_indices'),
async_mock_func_factory(nominatim_db.tools.database_import, 'create_search_indices'),
mock_func_factory(nominatim_db.data.country_info, 'create_country_names'),
mock_func_factory(nominatim_db.tools.refresh, 'setup_website'),
mock_func_factory(nominatim_db.db.properties, 'set_property')

4
test/python/cli/test_cmd_refresh.py
View File

@ -45,9 +45,9 @@ class TestRefresh:
assert self.tokenizer_mock.update_word_tokens_called
def test_refresh_postcodes(self, mock_func_factory, place_table):
def test_refresh_postcodes(self, async_mock_func_factory, mock_func_factory, place_table):
func_mock = mock_func_factory(nominatim_db.tools.postcodes, 'update_postcodes')
idx_mock = mock_func_factory(nominatim_db.indexer.indexer.Indexer, 'index_postcodes')
idx_mock = async_mock_func_factory(nominatim_db.indexer.indexer.Indexer, 'index_postcodes')
assert self.call_nominatim('refresh', '--postcodes') == 0
assert func_mock.called == 1

4
test/python/cli/test_cmd_replication.py
View File

@ -47,8 +47,8 @@ def init_status(temp_db_conn, status_table):
@pytest.fixture
def index_mock(mock_func_factory, tokenizer_mock, init_status):
return mock_func_factory(nominatim_db.indexer.indexer.Indexer, 'index_full')
def index_mock(async_mock_func_factory, tokenizer_mock, init_status):
return async_mock_func_factory(nominatim_db.indexer.indexer.Indexer, 'index_full')
@pytest.fixture

61
test/python/conftest.py
View File

@ -8,7 +8,8 @@ import itertools
import sys
from pathlib import Path
import psycopg2
import psycopg
from psycopg import sql as pysql
import pytest
# always test against the source
@ -36,26 +37,23 @@ def temp_db(monkeypatch):
exported into NOMINATIM_DATABASE_DSN.
"""
name = 'test_nominatim_python_unittest'
conn = psycopg2.connect(database='postgres')
conn.set_isolation_level(0)
with conn.cursor() as cur:
cur.execute('DROP DATABASE IF EXISTS {}'.format(name))
cur.execute('CREATE DATABASE {}'.format(name))
conn.close()
with psycopg.connect(dbname='postgres', autocommit=True) as conn:
with conn.cursor() as cur:
cur.execute(pysql.SQL('DROP DATABASE IF EXISTS') + pysql.Identifier(name))
cur.execute(pysql.SQL('CREATE DATABASE') + pysql.Identifier(name))
monkeypatch.setenv('NOMINATIM_DATABASE_DSN', 'dbname=' + name)
with psycopg.connect(dbname=name) as conn:
with conn.cursor() as cur:
cur.execute('CREATE EXTENSION hstore')
yield name
conn = psycopg2.connect(database='postgres')
conn.set_isolation_level(0)
with conn.cursor() as cur:
cur.execute('DROP DATABASE IF EXISTS {}'.format(name))
conn.close()
with psycopg.connect(dbname='postgres', autocommit=True) as conn:
with conn.cursor() as cur:
cur.execute('DROP DATABASE IF EXISTS {}'.format(name))
@pytest.fixture
@ -65,11 +63,9 @@ def dsn(temp_db):
@pytest.fixture
def temp_db_with_extensions(temp_db):
conn = psycopg2.connect(database=temp_db)
with conn.cursor() as cur:
cur.execute('CREATE EXTENSION hstore; CREATE EXTENSION postgis;')
conn.commit()
conn.close()
with psycopg.connect(dbname=temp_db) as conn:
with conn.cursor() as cur:
cur.execute('CREATE EXTENSION postgis')
return temp_db
@ -77,7 +73,8 @@ def temp_db_with_extensions(temp_db):
def temp_db_conn(temp_db):
""" Connection to the test database.
"""
with connection.connect('dbname=' + temp_db) as conn:
with connection.connect('', autocommit=True, dbname=temp_db) as conn:
connection.register_hstore(conn)
yield conn
@ -86,22 +83,25 @@ def temp_db_cursor(temp_db):
""" Connection and cursor towards the test database. The connection will
be in auto-commit mode.
"""
conn = psycopg2.connect('dbname=' + temp_db)
conn.set_isolation_level(0)
with conn.cursor(cursor_factory=CursorForTesting) as cur:
yield cur
conn.close()
with psycopg.connect(dbname=temp_db, autocommit=True, cursor_factory=CursorForTesting) as conn:
connection.register_hstore(conn)
with conn.cursor() as cur:
yield cur
@pytest.fixture
def table_factory(temp_db_cursor):
def table_factory(temp_db_conn):
""" A fixture that creates new SQL tables, potentially filled with
content.
"""
def mk_table(name, definition='id INT', content=None):
temp_db_cursor.execute('CREATE TABLE {} ({})'.format(name, definition))
if content is not None:
temp_db_cursor.execute_values("INSERT INTO {} VALUES %s".format(name), content)
with psycopg.ClientCursor(temp_db_conn) as cur:
cur.execute('CREATE TABLE {} ({})'.format(name, definition))
if content:
sql = pysql.SQL("INSERT INTO {} VALUES ({})")\
.format(pysql.Identifier(name),
pysql.SQL(',').join([pysql.Placeholder() for _ in range(len(content[0]))]))
cur.executemany(sql , content)
return mk_table
@ -168,7 +168,6 @@ def place_row(place_table, temp_db_cursor):
""" A factory for rows in the place table. The table is created as a
prerequisite to the fixture.
"""
psycopg2.extras.register_hstore(temp_db_cursor)
idseq = itertools.count(1001)
def _insert(osm_type='N', osm_id=None, cls='amenity', typ='cafe', names=None,
admin_level=None, address=None, extratags=None, geom=None):

12
test/python/cursor.py
View File

@ -5,11 +5,11 @@
# Copyright (C) 2024 by the Nominatim developer community.
# For a full list of authors see the git log.
"""
Specialised psycopg2 cursor with shortcut functions useful for testing.
Specialised psycopg cursor with shortcut functions useful for testing.
"""
import psycopg2.extras
import psycopg
class CursorForTesting(psycopg2.extras.DictCursor):
class CursorForTesting(psycopg.Cursor):
""" Extension to the DictCursor class that provides execution
short-cuts that simplify writing assertions.
"""
@ -59,9 +59,3 @@ class CursorForTesting(psycopg2.extras.DictCursor):
return self.scalar('SELECT count(*) FROM ' + table)
return self.scalar('SELECT count(*) FROM {} WHERE {}'.format(table, where))
def execute_values(self, *args, **kwargs):
""" Execute the execute_values() function on the cursor.
"""
psycopg2.extras.execute_values(self, *args, **kwargs)

113
test/python/db/test_async_connection.py
View File

@ -1,113 +0,0 @@
# 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.
"""
Tests for function providing a non-blocking query interface towards PostgreSQL.
"""
from contextlib import closing
import concurrent.futures
import pytest
import psycopg2
from nominatim_db.db.async_connection import DBConnection, DeadlockHandler
@pytest.fixture
def conn(temp_db):
with closing(DBConnection('dbname=' + temp_db)) as connection:
yield connection
@pytest.fixture
def simple_conns(temp_db):
conn1 = psycopg2.connect('dbname=' + temp_db)
conn2 = psycopg2.connect('dbname=' + temp_db)
yield conn1.cursor(), conn2.cursor()
conn1.close()
conn2.close()
def test_simple_query(conn, temp_db_conn):
conn.connect()
conn.perform('CREATE TABLE foo (id INT)')
conn.wait()
temp_db_conn.table_exists('foo')
def test_wait_for_query(conn):
conn.connect()
conn.perform('SELECT pg_sleep(1)')
assert not conn.is_done()
conn.wait()
def test_bad_query(conn):
conn.connect()
conn.perform('SELECT efasfjsea')
with pytest.raises(psycopg2.ProgrammingError):
conn.wait()
def test_bad_query_ignore(temp_db):
with closing(DBConnection('dbname=' + temp_db, ignore_sql_errors=True)) as conn:
conn.connect()
conn.perform('SELECT efasfjsea')
conn.wait()
def exec_with_deadlock(cur, sql, detector):
with DeadlockHandler(lambda *args: detector.append(1)):
cur.execute(sql)
def test_deadlock(simple_conns):
cur1, cur2 = simple_conns
cur1.execute("""CREATE TABLE t1 (id INT PRIMARY KEY, t TEXT);
INSERT into t1 VALUES (1, 'a'), (2, 'b')""")
cur1.connection.commit()
cur1.execute("UPDATE t1 SET t = 'x' WHERE id = 1")
cur2.execute("UPDATE t1 SET t = 'x' WHERE id = 2")
# This is the tricky part of the test. The first SQL command runs into
# a lock and blocks, so we have to run it in a separate thread. When the
# second deadlocking SQL statement is issued, Postgresql will abort one of
# the two transactions that cause the deadlock. There is no way to tell
# which one of the two. Therefore wrap both in a DeadlockHandler and
# expect that exactly one of the two triggers.
with concurrent.futures.ThreadPoolExecutor(max_workers=1) as executor:
deadlock_check = []
try:
future = executor.submit(exec_with_deadlock, cur2,
"UPDATE t1 SET t = 'y' WHERE id = 1",
deadlock_check)
while not future.running():
pass
exec_with_deadlock(cur1, "UPDATE t1 SET t = 'y' WHERE id = 2",
deadlock_check)
finally:
# Whatever happens, make sure the deadlock gets resolved.
cur1.connection.rollback()
future.result()
assert len(deadlock_check) == 1

72
test/python/db/test_connection.py
View File

@ -8,63 +8,76 @@
Tests for specialised connection and cursor classes.
"""
import pytest
import psycopg2
import psycopg
from nominatim_db.db.connection import connect, get_pg_env
import nominatim_db.db.connection as nc
@pytest.fixture
def db(dsn):
with connect(dsn) as conn:
with nc.connect(dsn) as conn:
yield conn
def test_connection_table_exists(db, table_factory):
assert not db.table_exists('foobar')
assert not nc.table_exists(db, 'foobar')
table_factory('foobar')
assert db.table_exists('foobar')
assert nc.table_exists(db, 'foobar')
def test_has_column_no_table(db):
assert not db.table_has_column('sometable', 'somecolumn')
assert not nc.table_has_column(db, 'sometable', 'somecolumn')
@pytest.mark.parametrize('name,result', [('tram', True), ('car', False)])
def test_has_column(db, table_factory, name, result):
table_factory('stuff', 'tram TEXT')
assert db.table_has_column('stuff', name) == result
assert nc.table_has_column(db, 'stuff', name) == result
def test_connection_index_exists(db, table_factory, temp_db_cursor):
assert not db.index_exists('some_index')
assert not nc.index_exists(db, 'some_index')
table_factory('foobar')
temp_db_cursor.execute('CREATE INDEX some_index ON foobar(id)')
assert db.index_exists('some_index')
assert db.index_exists('some_index', table='foobar')
assert not db.index_exists('some_index', table='bar')
assert nc.index_exists(db, 'some_index')
assert nc.index_exists(db, 'some_index', table='foobar')
assert not nc.index_exists(db, 'some_index', table='bar')
def test_drop_table_existing(db, table_factory):
table_factory('dummy')
assert db.table_exists('dummy')
assert nc.table_exists(db, 'dummy')
db.drop_table('dummy')
assert not db.table_exists('dummy')
nc.drop_tables(db, 'dummy')
assert not nc.table_exists(db, 'dummy')
def test_drop_table_non_existsing(db):
db.drop_table('dfkjgjriogjigjgjrdghehtre')
def test_drop_table_non_existing(db):
nc.drop_tables(db, 'dfkjgjriogjigjgjrdghehtre')
def test_drop_many_tables(db, table_factory):
tables = [f'table{n}' for n in range(5)]
for t in tables:
table_factory(t)
assert nc.table_exists(db, t)
nc.drop_tables(db, *tables)
for t in tables:
assert not nc.table_exists(db, t)
def test_drop_table_non_existing_force(db):
with pytest.raises(psycopg2.ProgrammingError, match='.*does not exist.*'):
db.drop_table('dfkjgjriogjigjgjrdghehtre', if_exists=False)
with pytest.raises(psycopg.ProgrammingError, match='.*does not exist.*'):
nc.drop_tables(db, 'dfkjgjriogjigjgjrdghehtre', if_exists=False)
def test_connection_server_version_tuple(db):
ver = db.server_version_tuple()
ver = nc.server_version_tuple(db)
assert isinstance(ver, tuple)
assert len(ver) == 2
@ -72,7 +85,7 @@ def test_connection_server_version_tuple(db):
def test_connection_postgis_version_tuple(db, temp_db_with_extensions):
ver = db.postgis_version_tuple()
ver = nc.postgis_version_tuple(db)
assert isinstance(ver, tuple)
assert len(ver) == 2
@ -82,27 +95,24 @@ def test_connection_postgis_version_tuple(db, temp_db_with_extensions):
def test_cursor_scalar(db, table_factory):
table_factory('dummy')
with db.cursor() as cur:
assert cur.scalar('SELECT count(*) FROM dummy') == 0
assert nc.execute_scalar(db, 'SELECT count(*) FROM dummy') == 0
def test_cursor_scalar_many_rows(db):
with db.cursor() as cur:
with pytest.raises(RuntimeError):
cur.scalar('SELECT * FROM pg_tables')
with pytest.raises(RuntimeError, match='Query did not return a single row.'):
nc.execute_scalar(db, 'SELECT * FROM pg_tables')
def test_cursor_scalar_no_rows(db, table_factory):
table_factory('dummy')
with db.cursor() as cur:
with pytest.raises(RuntimeError):
cur.scalar('SELECT id FROM dummy')
with pytest.raises(RuntimeError, match='Query did not return a single row.'):
nc.execute_scalar(db, 'SELECT id FROM dummy')
def test_get_pg_env_add_variable(monkeypatch):
monkeypatch.delenv('PGPASSWORD', raising=False)
env = get_pg_env('user=fooF')
env = nc.get_pg_env('user=fooF')
assert env['PGUSER'] == 'fooF'
assert 'PGPASSWORD' not in env
@ -110,12 +120,12 @@ def test_get_pg_env_add_variable(monkeypatch):
def test_get_pg_env_overwrite_variable(monkeypatch):
monkeypatch.setenv('PGUSER', 'some default')
env = get_pg_env('user=overwriter')
env = nc.get_pg_env('user=overwriter')
assert env['PGUSER'] == 'overwriter'
def test_get_pg_env_ignore_unknown():
env = get_pg_env('client_encoding=stuff', base_env={})
env = nc.get_pg_env('client_encoding=stuff', base_env={})
assert env == {}

15
test/python/db/test_sql_preprocessor.py
View File

@ -8,6 +8,7 @@
Tests for SQL preprocessing.
"""
import pytest
import pytest_asyncio
from nominatim_db.db.sql_preprocessor import SQLPreprocessor
@ -54,3 +55,17 @@ def test_load_file_with_params(sql_preprocessor, sql_factory, temp_db_conn, temp
sql_preprocessor.run_sql_file(temp_db_conn, sqlfile, bar='XX', foo='ZZ')
assert temp_db_cursor.scalar('SELECT test()') == 'ZZ XX'
@pytest.mark.asyncio
async def test_load_parallel_file(dsn, sql_preprocessor, tmp_path, temp_db_cursor):
(tmp_path / 'test.sql').write_text("""
CREATE TABLE foo (a TEXT);
CREATE TABLE foo2(a TEXT);""" +
"\n---\nCREATE TABLE bar (b INT);")
await sql_preprocessor.run_parallel_sql_file(dsn, 'test.sql', num_threads=4)
assert temp_db_cursor.table_exists('foo')
assert temp_db_cursor.table_exists('foo2')
assert temp_db_cursor.table_exists('bar')

100
test/python/db/test_utils.py
View File

@ -58,103 +58,3 @@ def test_execute_file_with_post_code(dsn, tmp_path, temp_db_cursor):
db_utils.execute_file(dsn, tmpfile, post_code='INSERT INTO test VALUES(23)')
assert temp_db_cursor.row_set('SELECT * FROM test') == {(23, )}
class TestCopyBuffer:
TABLE_NAME = 'copytable'
@pytest.fixture(autouse=True)
def setup_test_table(self, table_factory):
table_factory(self.TABLE_NAME, 'col_a INT, col_b TEXT')
def table_rows(self, cursor):
return cursor.row_set('SELECT * FROM ' + self.TABLE_NAME)
def test_copybuffer_empty(self):
with db_utils.CopyBuffer() as buf:
buf.copy_out(None, "dummy")
def test_all_columns(self, temp_db_cursor):
with db_utils.CopyBuffer() as buf:
buf.add(3, 'hum')
buf.add(None, 'f\\t')
buf.copy_out(temp_db_cursor, self.TABLE_NAME)
assert self.table_rows(temp_db_cursor) == {(3, 'hum'), (None, 'f\\t')}
def test_selected_columns(self, temp_db_cursor):
with db_utils.CopyBuffer() as buf:
buf.add('foo')
buf.copy_out(temp_db_cursor, self.TABLE_NAME,
columns=['col_b'])
assert self.table_rows(temp_db_cursor) == {(None, 'foo')}
def test_reordered_columns(self, temp_db_cursor):
with db_utils.CopyBuffer() as buf:
buf.add('one', 1)
buf.add(' two ', 2)
buf.copy_out(temp_db_cursor, self.TABLE_NAME,
columns=['col_b', 'col_a'])
assert self.table_rows(temp_db_cursor) == {(1, 'one'), (2, ' two ')}
def test_special_characters(self, temp_db_cursor):
with db_utils.CopyBuffer() as buf:
buf.add('foo\tbar')
buf.add('sun\nson')
buf.add('\\N')
buf.copy_out(temp_db_cursor, self.TABLE_NAME,
columns=['col_b'])
assert self.table_rows(temp_db_cursor) == {(None, 'foo\tbar'),
(None, 'sun\nson'),
(None, '\\N')}
class TestCopyBufferJson:
TABLE_NAME = 'copytable'
@pytest.fixture(autouse=True)
def setup_test_table(self, table_factory):
table_factory(self.TABLE_NAME, 'col_a INT, col_b JSONB')
def table_rows(self, cursor):
cursor.execute('SELECT * FROM ' + self.TABLE_NAME)
results = {k: v for k,v in cursor}
assert len(results) == cursor.rowcount
return results
def test_json_object(self, temp_db_cursor):
with db_utils.CopyBuffer() as buf:
buf.add(1, json.dumps({'test': 'value', 'number': 1}))
buf.copy_out(temp_db_cursor, self.TABLE_NAME)
assert self.table_rows(temp_db_cursor) == \
{1: {'test': 'value', 'number': 1}}
def test_json_object_special_chras(self, temp_db_cursor):
with db_utils.CopyBuffer() as buf:
buf.add(1, json.dumps({'te\tst': 'va\nlue', 'nu"mber': None}))
buf.copy_out(temp_db_cursor, self.TABLE_NAME)
assert self.table_rows(temp_db_cursor) == \
{1: {'te\tst': 'va\nlue', 'nu"mber': None}}

47
test/python/indexer/test_indexing.py
View File

@ -9,6 +9,7 @@ Tests for running the indexing.
"""
import itertools
import pytest
import pytest_asyncio
from nominatim_db.indexer import indexer
from nominatim_db.tokenizer import factory
@ -21,9 +22,8 @@ class IndexerTestDB:
self.postcode_id = itertools.count(700000)
self.conn = conn
self.conn.set_isolation_level(0)
self.conn.autocimmit = True
with self.conn.cursor() as cur:
cur.execute('CREATE EXTENSION hstore')
cur.execute("""CREATE TABLE placex (place_id BIGINT,
name HSTORE,
class TEXT,
@ -156,7 +156,8 @@ def test_tokenizer(tokenizer_mock, project_env):
@pytest.mark.parametrize("threads", [1, 15])
def test_index_all_by_rank(test_db, threads, test_tokenizer):
@pytest.mark.asyncio
async def test_index_all_by_rank(test_db, threads, test_tokenizer):
for rank in range(31):
test_db.add_place(rank_address=rank, rank_search=rank)
test_db.add_osmline()
@ -165,7 +166,7 @@ def test_index_all_by_rank(test_db, threads, test_tokenizer):
assert test_db.osmline_unindexed() == 1
idx = indexer.Indexer('dbname=test_nominatim_python_unittest', test_tokenizer, threads)
idx.index_by_rank(0, 30)
await idx.index_by_rank(0, 30)
assert test_db.placex_unindexed() == 0
assert test_db.osmline_unindexed() == 0
@ -190,7 +191,8 @@ def test_index_all_by_rank(test_db, threads, test_tokenizer):
@pytest.mark.parametrize("threads", [1, 15])
def test_index_partial_without_30(test_db, threads, test_tokenizer):
@pytest.mark.asyncio
async def test_index_partial_without_30(test_db, threads, test_tokenizer):
for rank in range(31):
test_db.add_place(rank_address=rank, rank_search=rank)
test_db.add_osmline()
@ -200,7 +202,7 @@ def test_index_partial_without_30(test_db, threads, test_tokenizer):
idx = indexer.Indexer('dbname=test_nominatim_python_unittest',
test_tokenizer, threads)
idx.index_by_rank(4, 15)
await idx.index_by_rank(4, 15)
assert test_db.placex_unindexed() == 19
assert test_db.osmline_unindexed() == 1
@ -211,7 +213,8 @@ def test_index_partial_without_30(test_db, threads, test_tokenizer):
@pytest.mark.parametrize("threads", [1, 15])
def test_index_partial_with_30(test_db, threads, test_tokenizer):
@pytest.mark.asyncio
async def test_index_partial_with_30(test_db, threads, test_tokenizer):
for rank in range(31):
test_db.add_place(rank_address=rank, rank_search=rank)
test_db.add_osmline()
@ -220,7 +223,7 @@ def test_index_partial_with_30(test_db, threads, test_tokenizer):
assert test_db.osmline_unindexed() == 1
idx = indexer.Indexer('dbname=test_nominatim_python_unittest', test_tokenizer, threads)
idx.index_by_rank(28, 30)
await idx.index_by_rank(28, 30)
assert test_db.placex_unindexed() == 27
assert test_db.osmline_unindexed() == 0
@ -230,7 +233,8 @@ def test_index_partial_with_30(test_db, threads, test_tokenizer):
WHERE indexed_status = 0 AND rank_address between 1 and 27""") == 0
@pytest.mark.parametrize("threads", [1, 15])
def test_index_boundaries(test_db, threads, test_tokenizer):
@pytest.mark.asyncio
async def test_index_boundaries(test_db, threads, test_tokenizer):
for rank in range(4, 10):
test_db.add_admin(rank_address=rank, rank_search=rank)
for rank in range(31):
@ -241,7 +245,7 @@ def test_index_boundaries(test_db, threads, test_tokenizer):
assert test_db.osmline_unindexed() == 1
idx = indexer.Indexer('dbname=test_nominatim_python_unittest', test_tokenizer, threads)
idx.index_boundaries(0, 30)
await idx.index_boundaries(0, 30)
assert test_db.placex_unindexed() == 31
assert test_db.osmline_unindexed() == 1
@ -252,21 +256,23 @@ def test_index_boundaries(test_db, threads, test_tokenizer):
@pytest.mark.parametrize("threads", [1, 15])
def test_index_postcodes(test_db, threads, test_tokenizer):
@pytest.mark.asyncio
async def test_index_postcodes(test_db, threads, test_tokenizer):
for postcode in range(1000):
test_db.add_postcode('de', postcode)
for postcode in range(32000, 33000):
test_db.add_postcode('us', postcode)
idx = indexer.Indexer('dbname=test_nominatim_python_unittest', test_tokenizer, threads)
idx.index_postcodes()
await idx.index_postcodes()
assert test_db.scalar("""SELECT count(*) FROM location_postcode
WHERE indexed_status != 0""") == 0
@pytest.mark.parametrize("analyse", [True, False])
def test_index_full(test_db, analyse, test_tokenizer):
@pytest.mark.asyncio
async def test_index_full(test_db, analyse, test_tokenizer):
for rank in range(4, 10):
test_db.add_admin(rank_address=rank, rank_search=rank)
for rank in range(31):
@ -276,22 +282,9 @@ def test_index_full(test_db, analyse, test_tokenizer):
test_db.add_postcode('de', postcode)
idx = indexer.Indexer('dbname=test_nominatim_python_unittest', test_tokenizer, 4)
idx.index_full(analyse=analyse)
await idx.index_full(analyse=analyse)
assert test_db.placex_unindexed() == 0
assert test_db.osmline_unindexed() == 0
assert test_db.scalar("""SELECT count(*) FROM location_postcode
WHERE indexed_status != 0""") == 0
@pytest.mark.parametrize("threads", [1, 15])
def test_index_reopen_connection(test_db, threads, monkeypatch, test_tokenizer):
monkeypatch.setattr(indexer.WorkerPool, "REOPEN_CONNECTIONS_AFTER", 15)
for _ in range(1000):
test_db.add_place(rank_address=30, rank_search=30)
idx = indexer.Indexer('dbname=test_nominatim_python_unittest', test_tokenizer, threads)
idx.index_by_rank(28, 30)
assert test_db.placex_unindexed() == 0

18
test/python/mock_icu_word_table.py
View File

@ -8,6 +8,7 @@
Legacy word table for testing with functions to prefil and test contents
of the table.
"""
from nominatim_db.db.connection import execute_scalar
class MockIcuWordTable:
""" A word table for testing using legacy word table structure.
@ -35,9 +36,9 @@ class MockIcuWordTable:
with self.conn.cursor() as cur:
cur.execute("""INSERT INTO word (word_token, type, word, info)
VALUES (%s, 'S', %s,
json_build_object('class', %s,
'type', %s,
'op', %s))
json_build_object('class', %s::text,
'type', %s::text,
'op', %s::text))
""", (word_token, word, cls, typ, oper))
self.conn.commit()
@ -70,25 +71,22 @@ class MockIcuWordTable:
word = word_tokens[0]
for token in word_tokens:
cur.execute("""INSERT INTO word (word_id, word_token, type, word, info)
VALUES (%s, %s, 'H', %s, jsonb_build_object('lookup', %s))
VALUES (%s, %s, 'H', %s, jsonb_build_object('lookup', %s::text))
""", (word_id, token, word, word_tokens[0]))
self.conn.commit()
def count(self):
with self.conn.cursor() as cur:
return cur.scalar("SELECT count(*) FROM word")
return execute_scalar(self.conn, "SELECT count(*) FROM word")
def count_special(self):
with self.conn.cursor() as cur:
return cur.scalar("SELECT count(*) FROM word WHERE type = 'S'")
return execute_scalar(self.conn, "SELECT count(*) FROM word WHERE type = 'S'")
def count_housenumbers(self):
with self.conn.cursor() as cur:
return cur.scalar("SELECT count(*) FROM word WHERE type = 'H'")
return execute_scalar(self.conn, "SELECT count(*) FROM word WHERE type = 'H'")
def get_special(self):

9
test/python/mock_legacy_word_table.py
View File

@ -8,6 +8,7 @@
Legacy word table for testing with functions to prefil and test contents
of the table.
"""
from nominatim_db.db.connection import execute_scalar
class MockLegacyWordTable:
""" A word table for testing using legacy word table structure.
@ -58,18 +59,16 @@ class MockLegacyWordTable:
def count(self):
with self.conn.cursor() as cur:
return cur.scalar("SELECT count(*) FROM word")
return execute_scalar(self.conn, "SELECT count(*) FROM word")
def count_special(self):
with self.conn.cursor() as cur:
return cur.scalar("SELECT count(*) FROM word WHERE class != 'place'")
return execute_scalar(self.conn, "SELECT count(*) FROM word WHERE class != 'place'")
def get_special(self):
with self.conn.cursor() as cur:
cur.execute("""SELECT word_token, word, class, type, operator
cur.execute("""SELECT word_token, word, class as cls, type, operator
FROM word WHERE class != 'place'""")
result = set((tuple(row) for row in cur))
assert len(result) == cur.rowcount, "Word table has duplicates."

3
test/python/mocks.py
View File

@ -9,8 +9,6 @@ Custom mocks for testing.
"""
import itertools
import psycopg2.extras
from nominatim_db.db import properties
# This must always point to the mock word table for the default tokenizer.
@ -56,7 +54,6 @@ class MockPlacexTable:
admin_level=None, address=None, extratags=None, geom='POINT(10 4)',
country=None, housenumber=None, rank_search=30):
with self.conn.cursor() as cur:
psycopg2.extras.register_hstore(cur)
cur.execute("""INSERT INTO placex (place_id, osm_type, osm_id, class,
type, name, admin_level, address,
housenumber, rank_search,

8
test/python/tokenizer/test_icu.py
View File

@ -199,16 +199,16 @@ def test_update_sql_functions(db_prop, temp_db_cursor,
assert test_content == set((('1133', ), ))
def test_finalize_import(tokenizer_factory, temp_db_conn,
temp_db_cursor, test_config, sql_preprocessor_cfg):
def test_finalize_import(tokenizer_factory, temp_db_cursor,
test_config, sql_preprocessor_cfg):
tok = tokenizer_factory()
tok.init_new_db(test_config)
assert not temp_db_conn.index_exists('idx_word_word_id')
assert not temp_db_cursor.index_exists('word', 'idx_word_word_id')
tok.finalize_import(test_config)
assert temp_db_conn.index_exists('idx_word_word_id')
assert temp_db_cursor.index_exists('word', 'idx_word_word_id')
def test_check_database(test_config, tokenizer_factory,

41
test/python/tools/test_database_import.py
View File

@ -8,10 +8,11 @@
Tests for functions to import a new database.
"""
from pathlib import Path
from contextlib import closing
import pytest
import psycopg2
import pytest_asyncio
import psycopg
from psycopg import sql as pysql
from nominatim_db.tools import database_import
from nominatim_db.errors import UsageError
@ -21,10 +22,7 @@ class TestDatabaseSetup:
@pytest.fixture(autouse=True)
def setup_nonexistant_db(self):
conn = psycopg2.connect(database='postgres')
try:
conn.set_isolation_level(0)
with psycopg.connect(dbname='postgres', autocommit=True) as conn:
with conn.cursor() as cur:
cur.execute(f'DROP DATABASE IF EXISTS {self.DBNAME}')
@ -32,22 +30,17 @@ class TestDatabaseSetup:
with conn.cursor() as cur:
cur.execute(f'DROP DATABASE IF EXISTS {self.DBNAME}')
finally:
conn.close()
@pytest.fixture
def cursor(self):
conn = psycopg2.connect(database=self.DBNAME)
try:
with psycopg.connect(dbname=self.DBNAME) as conn:
with conn.cursor() as cur:
yield cur
finally:
conn.close()
def conn(self):
return closing(psycopg2.connect(database=self.DBNAME))
return psycopg.connect(dbname=self.DBNAME)
def test_setup_skeleton(self):
@ -132,7 +125,7 @@ def test_import_osm_data_simple_ignore_no_data(table_factory, osm2pgsql_options)
ignore_errors=True)
def test_import_osm_data_drop(table_factory, temp_db_conn, tmp_path, osm2pgsql_options):
def test_import_osm_data_drop(table_factory, temp_db_cursor, tmp_path, osm2pgsql_options):
table_factory('place', content=((1, ), ))
table_factory('planet_osm_nodes')
@ -144,7 +137,7 @@ def test_import_osm_data_drop(table_factory, temp_db_conn, tmp_path, osm2pgsql_o
database_import.import_osm_data(Path('file.pbf'), osm2pgsql_options, drop=True)
assert not flatfile.exists()
assert not temp_db_conn.table_exists('planet_osm_nodes')
assert not temp_db_cursor.table_exists('planet_osm_nodes')
def test_import_osm_data_default_cache(table_factory, osm2pgsql_options, capfd):
@ -178,18 +171,19 @@ def test_truncate_database_tables(temp_db_conn, temp_db_cursor, table_factory, w
@pytest.mark.parametrize("threads", (1, 5))
def test_load_data(dsn, place_row, placex_table, osmline_table,
@pytest.mark.asyncio
async def test_load_data(dsn, place_row, placex_table, osmline_table,
temp_db_cursor, threads):
for func in ('precompute_words', 'getorcreate_housenumber_id', 'make_standard_name'):
temp_db_cursor.execute(f"""CREATE FUNCTION {func} (src TEXT)
RETURNS TEXT AS $$ SELECT 'a'::TEXT $$ LANGUAGE SQL
""")
temp_db_cursor.execute(pysql.SQL("""CREATE FUNCTION {} (src TEXT)
RETURNS TEXT AS $$ SELECT 'a'::TEXT $$ LANGUAGE SQL
""").format(pysql.Identifier(func)))
for oid in range(100, 130):
place_row(osm_id=oid)
place_row(osm_type='W', osm_id=342, cls='place', typ='houses',
geom='SRID=4326;LINESTRING(0 0, 10 10)')
database_import.load_data(dsn, threads)
await database_import.load_data(dsn, threads)
assert temp_db_cursor.table_rows('placex') == 30
assert temp_db_cursor.table_rows('location_property_osmline') == 1
@ -241,11 +235,12 @@ class TestSetupSQL:
@pytest.mark.parametrize("drop", [True, False])
def test_create_search_indices(self, temp_db_conn, temp_db_cursor, drop):
@pytest.mark.asyncio
async def test_create_search_indices(self, temp_db_conn, temp_db_cursor, drop):
self.write_sql('indices.sql',
"""CREATE FUNCTION test() RETURNS bool
AS $$ SELECT {{drop}} $$ LANGUAGE SQL""")
database_import.create_search_indices(temp_db_conn, self.config, drop)
await database_import.create_search_indices(temp_db_conn, self.config, drop)
temp_db_cursor.scalar('SELECT test()') == drop

77
test/python/tools/test_import_special_phrases.py
View File

@ -75,7 +75,8 @@ def test_load_white_and_black_lists(sp_importer):
assert isinstance(black_list, dict) and isinstance(white_list, dict)
def test_create_place_classtype_indexes(temp_db_with_extensions, temp_db_conn,
def test_create_place_classtype_indexes(temp_db_with_extensions,
temp_db_conn, temp_db_cursor,
table_factory, sp_importer):
"""
Test that _create_place_classtype_indexes() create the
@ -88,10 +89,11 @@ def test_create_place_classtype_indexes(temp_db_with_extensions, temp_db_conn,
table_factory(table_name, 'place_id BIGINT, centroid GEOMETRY')
sp_importer._create_place_classtype_indexes('', phrase_class, phrase_type)
temp_db_conn.commit()
assert check_placeid_and_centroid_indexes(temp_db_conn, phrase_class, phrase_type)
assert check_placeid_and_centroid_indexes(temp_db_cursor, phrase_class, phrase_type)
def test_create_place_classtype_table(temp_db_conn, placex_table, sp_importer):
def test_create_place_classtype_table(temp_db_conn, temp_db_cursor, placex_table, sp_importer):
"""
Test that _create_place_classtype_table() create
the right place_classtype table.
@ -99,10 +101,12 @@ def test_create_place_classtype_table(temp_db_conn, placex_table, sp_importer):
phrase_class = 'class'
phrase_type = 'type'
sp_importer._create_place_classtype_table('', phrase_class, phrase_type)
temp_db_conn.commit()
assert check_table_exist(temp_db_conn, phrase_class, phrase_type)
assert check_table_exist(temp_db_cursor, phrase_class, phrase_type)
def test_grant_access_to_web_user(temp_db_conn, table_factory, def_config, sp_importer):
def test_grant_access_to_web_user(temp_db_conn, temp_db_cursor, table_factory,
def_config, sp_importer):
"""
Test that _grant_access_to_webuser() give
right access to the web user.
@ -114,12 +118,13 @@ def test_grant_access_to_web_user(temp_db_conn, table_factory, def_config, sp_im
table_factory(table_name)
sp_importer._grant_access_to_webuser(phrase_class, phrase_type)
temp_db_conn.commit()
assert check_grant_access(temp_db_conn, def_config.DATABASE_WEBUSER, phrase_class, phrase_type)
assert check_grant_access(temp_db_cursor, def_config.DATABASE_WEBUSER, phrase_class, phrase_type)
def test_create_place_classtype_table_and_indexes(
temp_db_conn, def_config, placex_table,
sp_importer):
temp_db_cursor, def_config, placex_table,
sp_importer, temp_db_conn):
"""
Test that _create_place_classtype_table_and_indexes()
create the right place_classtype tables and place_id indexes
@ -129,14 +134,15 @@ def test_create_place_classtype_table_and_indexes(
pairs = set([('class1', 'type1'), ('class2', 'type2')])
sp_importer._create_classtype_table_and_indexes(pairs)
temp_db_conn.commit()
for pair in pairs:
assert check_table_exist(temp_db_conn, pair[0], pair[1])
assert check_placeid_and_centroid_indexes(temp_db_conn, pair[0], pair[1])
assert check_grant_access(temp_db_conn, def_config.DATABASE_WEBUSER, pair[0], pair[1])
assert check_table_exist(temp_db_cursor, pair[0], pair[1])
assert check_placeid_and_centroid_indexes(temp_db_cursor, pair[0], pair[1])
assert check_grant_access(temp_db_cursor, def_config.DATABASE_WEBUSER, pair[0], pair[1])
def test_remove_non_existent_tables_from_db(sp_importer, default_phrases,
temp_db_conn):
temp_db_conn, temp_db_cursor):
"""
Check for the remove_non_existent_phrases_from_db() method.
@ -159,15 +165,14 @@ def test_remove_non_existent_tables_from_db(sp_importer, default_phrases,
"""
sp_importer._remove_non_existent_tables_from_db()
temp_db_conn.commit()
# Changes are not committed yet. Use temp_db_conn for checking results.
with temp_db_conn.cursor(cursor_factory=CursorForTesting) as cur:
assert cur.row_set(query_tables) \
assert temp_db_cursor.row_set(query_tables) \
== {('place_classtype_testclasstypetable_to_keep', )}
@pytest.mark.parametrize("should_replace", [(True), (False)])
def test_import_phrases(monkeypatch, temp_db_conn, def_config, sp_importer,
def test_import_phrases(monkeypatch, temp_db_cursor, def_config, sp_importer,
placex_table, table_factory, tokenizer_mock,
xml_wiki_content, should_replace):
"""
@ -193,49 +198,49 @@ def test_import_phrases(monkeypatch, temp_db_conn, def_config, sp_importer,
class_test = 'aerialway'
type_test = 'zip_line'
assert check_table_exist(temp_db_conn, class_test, type_test)
assert check_placeid_and_centroid_indexes(temp_db_conn, class_test, type_test)
assert check_grant_access(temp_db_conn, def_config.DATABASE_WEBUSER, class_test, type_test)
assert check_table_exist(temp_db_conn, 'amenity', 'animal_shelter')
assert check_table_exist(temp_db_cursor, class_test, type_test)
assert check_placeid_and_centroid_indexes(temp_db_cursor, class_test, type_test)
assert check_grant_access(temp_db_cursor, def_config.DATABASE_WEBUSER, class_test, type_test)
assert check_table_exist(temp_db_cursor, 'amenity', 'animal_shelter')
if should_replace:
assert not check_table_exist(temp_db_conn, 'wrong_class', 'wrong_type')
assert not check_table_exist(temp_db_cursor, 'wrong_class', 'wrong_type')
assert temp_db_conn.table_exists('place_classtype_amenity_animal_shelter')
assert temp_db_cursor.table_exists('place_classtype_amenity_animal_shelter')
if should_replace:
assert not temp_db_conn.table_exists('place_classtype_wrongclass_wrongtype')
assert not temp_db_cursor.table_exists('place_classtype_wrongclass_wrongtype')
def check_table_exist(temp_db_conn, phrase_class, phrase_type):
def check_table_exist(temp_db_cursor, phrase_class, phrase_type):
"""
Verify that the place_classtype table exists for the given
phrase_class and phrase_type.
"""
return temp_db_conn.table_exists('place_classtype_{}_{}'.format(phrase_class, phrase_type))
return temp_db_cursor.table_exists('place_classtype_{}_{}'.format(phrase_class, phrase_type))
def check_grant_access(temp_db_conn, user, phrase_class, phrase_type):
def check_grant_access(temp_db_cursor, user, phrase_class, phrase_type):
"""
Check that the web user has been granted right access to the
place_classtype table of the given phrase_class and phrase_type.
"""
table_name = 'place_classtype_{}_{}'.format(phrase_class, phrase_type)
with temp_db_conn.cursor() as temp_db_cursor:
temp_db_cursor.execute("""
SELECT * FROM information_schema.role_table_grants
WHERE table_name='{}'
AND grantee='{}'
AND privilege_type='SELECT'""".format(table_name, user))
return temp_db_cursor.fetchone()
temp_db_cursor.execute("""
SELECT * FROM information_schema.role_table_grants
WHERE table_name='{}'
AND grantee='{}'
AND privilege_type='SELECT'""".format(table_name, user))
return temp_db_cursor.fetchone()
def check_placeid_and_centroid_indexes(temp_db_conn, phrase_class, phrase_type):
def check_placeid_and_centroid_indexes(temp_db_cursor, phrase_class, phrase_type):
"""
Check that the place_id index and centroid index exist for the
place_classtype table of the given phrase_class and phrase_type.
"""
table_name = 'place_classtype_{}_{}'.format(phrase_class, phrase_type)
index_prefix = 'idx_place_classtype_{}_{}_'.format(phrase_class, phrase_type)
return (
temp_db_conn.index_exists(index_prefix + 'centroid')
temp_db_cursor.index_exists(table_name, index_prefix + 'centroid')
and
temp_db_conn.index_exists(index_prefix + 'place_id')
temp_db_cursor.index_exists(table_name, index_prefix + 'place_id')
)

11
test/python/tools/test_migration.py
View File

@ -8,10 +8,10 @@
Tests for migration functions
"""
import pytest
import psycopg2.extras
from nominatim_db.tools import migration
from nominatim_db.errors import UsageError
from nominatim_db.db.connection import server_version_tuple
import nominatim_db.version
from mock_legacy_word_table import MockLegacyWordTable
@ -43,7 +43,6 @@ def test_no_migration_old_versions(temp_db_with_extensions, table_factory, def_c
def test_set_up_migration_for_36(temp_db_with_extensions, temp_db_cursor,
table_factory, def_config, monkeypatch,
postprocess_mock):
psycopg2.extras.register_hstore(temp_db_cursor)
# don't actually run any migration, except the property table creation
monkeypatch.setattr(migration, '_MIGRATION_FUNCTIONS',
[((3, 5, 0, 99), migration.add_nominatim_property_table)])
@ -63,7 +62,7 @@ def test_set_up_migration_for_36(temp_db_with_extensions, temp_db_cursor,
WHERE property = 'database_version'""")
def test_already_at_version(def_config, property_table):
def test_already_at_version(temp_db_with_extensions, def_config, property_table):
property_table.set('database_version',
str(nominatim_db.version.NOMINATIM_VERSION))
@ -71,8 +70,8 @@ def test_already_at_version(def_config, property_table):
assert migration.migrate(def_config, {}) == 0
def test_run_single_migration(def_config, temp_db_cursor, property_table,
monkeypatch, postprocess_mock):
def test_run_single_migration(temp_db_with_extensions, def_config, temp_db_cursor,
property_table, monkeypatch, postprocess_mock):
oldversion = [x for x in nominatim_db.version.NOMINATIM_VERSION]
oldversion[0] -= 1
property_table.set('database_version',
@ -226,7 +225,7 @@ def test_create_tiger_housenumber_index(temp_db_conn, temp_db_cursor, table_fact
migration.create_tiger_housenumber_index(temp_db_conn)
temp_db_conn.commit()
if temp_db_conn.server_version_tuple() >= (11, 0, 0):
if server_version_tuple(temp_db_conn) >= (11, 0, 0):
assert temp_db_cursor.index_exists('location_property_tiger',
'idx_location_property_tiger_housenumber_migrated')

2
test/python/tools/test_postcodes.py
View File

@ -47,7 +47,7 @@ class MockPostcodeTable:
country_code, postcode,
geometry)
VALUES (nextval('seq_place'), 1, %s, %s,
'SRID=4326;POINT(%s %s)')""",
ST_SetSRID(ST_MakePoint(%s, %s), 4326))""",
(country, postcode, x, y))
self.conn.commit()

5
test/python/tools/test_refresh.py
View File

@ -12,6 +12,7 @@ from pathlib import Path
import pytest
from nominatim_db.tools import refresh
from nominatim_db.db.connection import postgis_version_tuple
def test_refresh_import_wikipedia_not_existing(dsn):
assert refresh.import_wikipedia_articles(dsn, Path('.')) == 1
@ -23,13 +24,13 @@ def test_refresh_import_secondary_importance_non_existing(dsn):
def test_refresh_import_secondary_importance_testdb(dsn, src_dir, temp_db_conn, temp_db_cursor):
temp_db_cursor.execute('CREATE EXTENSION postgis')
if temp_db_conn.postgis_version_tuple()[0] < 3:
if postgis_version_tuple(temp_db_conn)[0] < 3:
assert refresh.import_secondary_importance(dsn, src_dir / 'test' / 'testdb') > 0
else:
temp_db_cursor.execute('CREATE EXTENSION postgis_raster')
assert refresh.import_secondary_importance(dsn, src_dir / 'test' / 'testdb') == 0
assert temp_db_conn.table_exists('secondary_importance')
assert temp_db_cursor.table_exists('secondary_importance')
@pytest.mark.parametrize("replace", (True, False))

54
test/python/tools/test_tiger_data.py
View File

@ -11,7 +11,9 @@ import tarfile
from textwrap import dedent
import pytest
import pytest_asyncio
from nominatim_db.db.connection import execute_scalar
from nominatim_db.tools import tiger_data, freeze
from nominatim_db.errors import UsageError
@ -31,8 +33,7 @@ class MockTigerTable:
cur.execute("CREATE TABLE place (number INTEGER)")
def count(self):
with self.conn.cursor() as cur:
return cur.scalar("SELECT count(*) FROM tiger")
return execute_scalar(self.conn, "SELECT count(*) FROM tiger")
def row(self):
with self.conn.cursor() as cur:
@ -76,82 +77,91 @@ def csv_factory(tmp_path):
@pytest.mark.parametrize("threads", (1, 5))
def test_add_tiger_data(def_config, src_dir, tiger_table, tokenizer_mock, threads):
tiger_data.add_tiger_data(str(src_dir / 'test' / 'testdb' / 'tiger'),
def_config, threads, tokenizer_mock())
@pytest.mark.asyncio
async def test_add_tiger_data(def_config, src_dir, tiger_table, tokenizer_mock, threads):
await tiger_data.add_tiger_data(str(src_dir / 'test' / 'testdb' / 'tiger'),
def_config, threads, tokenizer_mock())
assert tiger_table.count() == 6213
def test_add_tiger_data_database_frozen(def_config, temp_db_conn, tiger_table, tokenizer_mock,
@pytest.mark.asyncio
async def test_add_tiger_data_database_frozen(def_config, temp_db_conn, tiger_table, tokenizer_mock,
tmp_path):
freeze.drop_update_tables(temp_db_conn)
with pytest.raises(UsageError) as excinfo:
tiger_data.add_tiger_data(str(tmp_path), def_config, 1, tokenizer_mock())
await tiger_data.add_tiger_data(str(tmp_path), def_config, 1, tokenizer_mock())
assert "database frozen" in str(excinfo.value)
assert tiger_table.count() == 0
def test_add_tiger_data_no_files(def_config, tiger_table, tokenizer_mock,
@pytest.mark.asyncio
async def test_add_tiger_data_no_files(def_config, tiger_table, tokenizer_mock,
tmp_path):
tiger_data.add_tiger_data(str(tmp_path), def_config, 1, tokenizer_mock())
await tiger_data.add_tiger_data(str(tmp_path), def_config, 1, tokenizer_mock())
assert tiger_table.count() == 0
def test_add_tiger_data_bad_file(def_config, tiger_table, tokenizer_mock,
@pytest.mark.asyncio
async def test_add_tiger_data_bad_file(def_config, tiger_table, tokenizer_mock,
tmp_path):
sqlfile = tmp_path / '1010.csv'
sqlfile.write_text("""Random text""")
tiger_data.add_tiger_data(str(tmp_path), def_config, 1, tokenizer_mock())
await tiger_data.add_tiger_data(str(tmp_path), def_config, 1, tokenizer_mock())
assert tiger_table.count() == 0
def test_add_tiger_data_hnr_nan(def_config, tiger_table, tokenizer_mock,
@pytest.mark.asyncio
async def test_add_tiger_data_hnr_nan(def_config, tiger_table, tokenizer_mock,
csv_factory, tmp_path):
csv_factory('file1', hnr_from=99)
csv_factory('file2', hnr_from='L12')
csv_factory('file3', hnr_to='12.4')
tiger_data.add_tiger_data(str(tmp_path), def_config, 1, tokenizer_mock())
await tiger_data.add_tiger_data(str(tmp_path), def_config, 1, tokenizer_mock())
assert tiger_table.count() == 1
assert tiger_table.row()['start'] == 99
assert tiger_table.row().start == 99
@pytest.mark.parametrize("threads", (1, 5))
def test_add_tiger_data_tarfile(def_config, tiger_table, tokenizer_mock,
@pytest.mark.asyncio
async def test_add_tiger_data_tarfile(def_config, tiger_table, tokenizer_mock,
tmp_path, src_dir, threads):
tar = tarfile.open(str(tmp_path / 'sample.tar.gz'), "w:gz")
tar.add(str(src_dir / 'test' / 'testdb' / 'tiger' / '01001.csv'))
tar.close()
tiger_data.add_tiger_data(str(tmp_path / 'sample.tar.gz'), def_config, threads,
tokenizer_mock())
await tiger_data.add_tiger_data(str(tmp_path / 'sample.tar.gz'), def_config, threads,
tokenizer_mock())
assert tiger_table.count() == 6213
def test_add_tiger_data_bad_tarfile(def_config, tiger_table, tokenizer_mock,
@pytest.mark.asyncio
async def test_add_tiger_data_bad_tarfile(def_config, tiger_table, tokenizer_mock,
tmp_path):
tarfile = tmp_path / 'sample.tar.gz'
tarfile.write_text("""Random text""")
with pytest.raises(UsageError):
tiger_data.add_tiger_data(str(tarfile), def_config, 1, tokenizer_mock())
await tiger_data.add_tiger_data(str(tarfile), def_config, 1, tokenizer_mock())
def test_add_tiger_data_empty_tarfile(def_config, tiger_table, tokenizer_mock,
@pytest.mark.asyncio
async def test_add_tiger_data_empty_tarfile(def_config, tiger_table, tokenizer_mock,
tmp_path):
tar = tarfile.open(str(tmp_path / 'sample.tar.gz'), "w:gz")
tar.add(__file__)
tar.close()
tiger_data.add_tiger_data(str(tmp_path / 'sample.tar.gz'), def_config, 1,
tokenizer_mock())
await tiger_data.add_tiger_data(str(tmp_path / 'sample.tar.gz'), def_config, 1,
tokenizer_mock())
assert tiger_table.count() == 0

6
vagrant/Install-on-Ubuntu-22.sh
View File

@ -26,10 +26,14 @@ export DEBIAN_FRONTEND=noninteractive #DOCS:
nlohmann-json3-dev postgresql-14-postgis-3 \
postgresql-contrib-14 postgresql-14-postgis-3-scripts \
libicu-dev python3-dotenv \
python3-psycopg2 python3-psutil python3-jinja2 \
python3-pip python3-psutil python3-jinja2 \
python3-sqlalchemy python3-asyncpg \
python3-icu python3-datrie python3-yaml git
# Some of the Python packages that come with Ubuntu 22.04 are too old,
# so install the latest version from pip:
pip3 install --user psycopg[binary]
#
# System Configuration