introduce tokenizer modules

This adds the boilerplate for selecting configurable tokenizers.
A tokenizer can be chosen at import time and will then install
itself such that it is fixed for the given database import even
when the software itself is updated.

The legacy tokenizer implements Nominatim's traditional algorithms.
This commit is contained in:
Sarah Hoffmann
2021-04-21 09:57:17 +02:00
parent 5c7b9ef909
commit af968d4903
10 changed files with 289 additions and 0 deletions

View File

View File

@@ -0,0 +1,84 @@
"""
Functions for creating a tokenizer or initialising the right one for an
existing database.
A tokenizer is something that is bound to the lifetime of a database. It
can be choosen and configured before the intial import but then needs to
be used consistently when querying and updating the database.
This module provides the functions to create and configure a new tokenizer
as well as instanciating the appropriate tokenizer for updating an existing
database.
A tokenizer usually also includes PHP code for querying. The appropriate PHP
normalizer module is installed, when the tokenizer is created.
"""
import logging
import importlib
from ..errors import UsageError
from ..db import properties
from ..db.connection import connect
LOG = logging.getLogger()
def _import_tokenizer(name):
""" Load the tokenizer.py module from project directory.
"""
try:
return importlib.import_module('nominatim.tokenizer.' + name + '_tokenizer')
except ModuleNotFoundError as exp:
LOG.fatal("No tokenizer named '%s' available. "
"Check the setting of NOMINATIM_TOKENIZER.", name)
raise UsageError('Tokenizer not found') from exp
def create_tokenizer(config):
""" Create a new tokenizer as defined by the given configuration.
The tokenizer data and code is copied into the 'tokenizer' directory
of the project directory and the tokenizer loaded from its new location.
"""
# Create the directory for the tokenizer data
basedir = config.project_dir / 'tokenizer'
if not basedir.exists():
basedir.mkdir()
elif not basedir.is_dir():
LOG.fatal("Tokenizer directory '%s' cannot be created.", basedir)
raise UsageError("Tokenizer setup failed.")
tokenizer_module = _import_tokenizer(config.TOKENIZER)
tokenizer = tokenizer_module.create(config.get_libpq_dsn(), basedir)
tokenizer.init_new_db(config)
with connect(config.get_libpq_dsn()) as conn:
properties.set_property(conn, 'tokenizer', config.TOKENIZER)
return tokenizer
def get_tokenizer_for_db(config):
""" Instantiate a tokenizer for an existing database.
The function looks up the appropriate tokenizer in the database
and initialises it.
"""
basedir = config.project_dir / 'tokenizer'
if not basedir.is_dir():
LOG.fatal("Cannot find tokenizer data in '%s'.", basedir)
raise UsageError('Cannot initialize tokenizer.')
with connect(config.get_libpq_dsn()) as conn:
name = properties.get_property(conn, 'tokenizer')
if name is None:
LOG.fatal("Tokenizer was not set up properly. Database property missing.")
raise UsageError('Cannot initialize tokenizer.')
tokenizer_module = _import_tokenizer(name)
tokenizer = tokenizer_module.create(config.get_libpq_dsn(), basedir)
tokenizer.init_from_project()
return tokenizer

View File

@@ -0,0 +1,44 @@
"""
Tokenizer implementing normalisation as used before Nominatim 4.
"""
from nominatim.db.connection import connect
from nominatim.db import properties
DBCFG_NORMALIZATION = "tokenizer_normalization"
def create(dsn, data_dir):
""" Create a new instance of the tokenizer provided by this module.
"""
return LegacyTokenizer(dsn, data_dir)
class LegacyTokenizer:
""" The legacy tokenizer uses a special PostgreSQL module to normalize
names and queries. The tokenizer thus implements normalization through
calls to the database.
"""
def __init__(self, dsn, data_dir):
self.dsn = dsn
self.data_dir = data_dir
self.normalization = None
def init_new_db(self, config):
""" Set up a new tokenizer for the database.
This copies all necessary data in the project directory to make
sure the tokenizer remains stable even over updates.
"""
self.normalization = config.TERM_NORMALIZATION
# Stable configuration is saved in the database.
with connect(self.dsn) as conn:
properties.set_property(conn, DBCFG_NORMALIZATION,
self.normalization)
def init_from_project(self):
""" Initialise the tokenizer from the project directory.
"""
with connect(self.dsn) as conn:
self.normalization = properties.get_property(conn, DBCFG_NORMALIZATION)