2 Abstract class defintions for tokenizers. These base classes are here
3 mainly for documentation purposes.
5 from abc import ABC, abstractmethod
6 from typing import List, Tuple, Dict, Any
8 from nominatim.config import Configuration
9 from nominatim.indexer.place_info import PlaceInfo
11 # pylint: disable=unnecessary-pass
13 class AbstractAnalyzer(ABC):
14 """ The analyzer provides the functions for analysing names and building
17 Analyzers are instantiated on a per-thread base. Access to global data
18 structures must be synchronised accordingly.
21 def __enter__(self) -> 'AbstractAnalyzer':
25 def __exit__(self, exc_type, exc_value, traceback) -> None:
30 def close(self) -> None:
31 """ Free all resources used by the analyzer.
36 def get_word_token_info(self, words: List[str]) -> List[Tuple[str, str, int]]:
37 """ Return token information for the given list of words.
39 The function is used for testing and debugging only
40 and does not need to be particularly efficient.
43 words: A list of words to look up the tokens for.
44 If a word starts with # it is assumed to be a full name
45 otherwise is a partial term.
48 The function returns the list of all tuples that could be
49 found for the given words. Each list entry is a tuple of
50 (original word, word token, word id).
55 def normalize_postcode(self, postcode: str) -> str:
56 """ Convert the postcode to its standardized form.
58 This function must yield exactly the same result as the SQL function
59 `token_normalized_postcode()`.
62 postcode: The postcode to be normalized.
65 The given postcode after normalization.
70 def update_postcodes_from_db(self) -> None:
71 """ Update the tokenizer's postcode tokens from the current content
72 of the `location_postcode` table.
77 def update_special_phrases(self, phrases: List[Tuple[str, str, str, str]],
78 should_replace: bool) -> None:
79 """ Update the tokenizer's special phrase tokens from the given
80 list of special phrases.
83 phrases: The new list of special phrases. Each entry is
84 a tuple of (phrase, class, type, operator).
85 should_replace: If true, replace the current list of phrases.
86 When false, just add the given phrases to the
87 ones that already exist.
92 def add_country_names(self, country_code: str, names: Dict[str, str]):
93 """ Add the given names to the tokenizer's list of country tokens.
96 country_code: two-letter country code for the country the names
98 names: Dictionary of name type to name.
103 def process_place(self, place: PlaceInfo) -> Any:
104 """ Extract tokens for the given place and compute the
105 information to be handed to the PL/pgSQL processor for building
109 place: Place information retrived from the database.
112 A JSON-serialisable structure that will be handed into
113 the database via the `token_info` field.
118 class AbstractTokenizer(ABC):
119 """ The tokenizer instance is the central instance of the tokenizer in
120 the system. There will only be a single instance of the tokenizer
125 def init_new_db(self, config: Configuration, init_db: bool = True) -> None:
126 """ Set up a new tokenizer for the database.
128 The function should copy all necessary data into the project
129 directory or save it in the property table to make sure that
130 the tokenizer remains stable over updates.
133 config: Read-only object with configuration options.
135 init_db: When set to False, then initialisation of database
136 tables should be skipped. This option is only required for
137 migration purposes and can be savely ignored by custom
140 TODO: can we move the init_db parameter somewhere else?
145 def init_from_project(self, config: Configuration) -> None:
146 """ Initialise the tokenizer from an existing database setup.
148 The function should load all previously saved configuration from
149 the project directory and/or the property table.
152 config: Read-only object with configuration options.
157 def finalize_import(self, config: Configuration) -> None:
158 """ This function is called at the very end of an import when all
159 data has been imported and indexed. The tokenizer may create
160 at this point any additional indexes and data structures needed
164 config: Read-only object with configuration options.
169 def update_sql_functions(self, config: Configuration) -> None:
170 """ Update the SQL part of the tokenizer. This function is called
171 automatically on migrations or may be called explicitly by the
172 user through the `nominatim refresh --functions` command.
174 The tokenizer must only update the code of the tokenizer. The
175 data structures or data itself must not be changed by this function.
178 config: Read-only object with configuration options.
183 def check_database(self, config: Configuration) -> str:
184 """ Check that the database is set up correctly and ready for being
188 config: Read-only object with configuration options.
191 If an issue was found, return an error message with the
192 description of the issue as well as hints for the user on
193 how to resolve the issue. If everything is okay, return `None`.
198 def update_statistics(self) -> None:
199 """ Recompute any tokenizer statistics necessary for efficient lookup.
200 This function is meant to be called from time to time by the user
201 to improve performance. However, the tokenizer must not depend on
202 it to be called in order to work.
207 def name_analyzer(self) -> AbstractAnalyzer:
208 """ Create a new analyzer for tokenizing names and queries
209 using this tokinzer. Analyzers are context managers and should
213 with tokenizer.name_analyzer() as analyzer:
217 When used outside the with construct, the caller must ensure to
218 call the close() function before destructing the analyzer.