This copies all necessary data in the project directory to make
sure the tokenizer remains stable even over updates.
"""
+ assert config.project_dir is not None
module_dir = _install_module(config.DATABASE_MODULE_PATH,
config.lib_dir.module,
config.project_dir / 'module')
def init_from_project(self, config: Configuration) -> None:
""" Initialise the tokenizer from the project directory.
"""
+ assert config.project_dir is not None
+
with connect(self.dsn) as conn:
self.normalization = properties.get_property(conn, DBCFG_NORMALIZATION)
def update_sql_functions(self, config: Configuration) -> None:
""" Reimport the SQL functions for this tokenizer.
"""
+ assert config.project_dir is not None
+
with connect(self.dsn) as conn:
max_word_freq = properties.get_property(conn, DBCFG_MAXWORDFREQ)
modulepath = config.DATABASE_MODULE_PATH or \
This is a special migration function for updating existing databases
to new software versions.
"""
+ assert config.project_dir is not None
+
self.normalization = config.TERM_NORMALIZATION
module_dir = _install_module(config.DATABASE_MODULE_PATH,
config.lib_dir.module,
with conn.cursor() as cur:
cur.execute("SELECT * FROM create_housenumbers(%s)", (simple_list, ))
- self.data['hnr_tokens'], self.data['hnr'] = \
- cur.fetchone() # type: ignore[no-untyped-call]
+ result = cur.fetchone()
+ assert result is not None
+ self.data['hnr_tokens'], self.data['hnr'] = result
def set_postcode(self, postcode: str) -> None:
cur.execute("""SELECT make_keywords(hstore('name' , %s))::text,
word_ids_from_name(%s)::text""",
(name, name))
- return cast(Tuple[List[int], List[int]],
- cur.fetchone()) # type: ignore[no-untyped-call]
+ return cast(Tuple[List[int], List[int]], cur.fetchone())
self.data['place_search'], self.data['place_match'] = \
self.cache.places.get(place, _get_place)
cur.execute("""SELECT addr_ids_from_name(%s)::text,
word_ids_from_name(%s)::text""",
(name, name))
- return cast(Tuple[List[int], List[int]],
- cur.fetchone()) # type: ignore[no-untyped-call]
+ return cast(Tuple[List[int], List[int]], cur.fetchone())
tokens = {}
for key, value in terms: