+# SPDX-License-Identifier: GPL-2.0-only
+#
+# This file is part of Nominatim. (https://nominatim.org)
+#
+# Copyright (C) 2022 by the Nominatim developer community.
+# For a full list of authors see the git log.
"""
Module containing the SPCsvLoader class.
The class allows to load phrases from a csv file.
"""
+from typing import Iterable
import csv
import os
from nominatim.tools.special_phrases.special_phrase import SpecialPhrase
-from nominatim.tools.special_phrases.sp_loader import SPLoader
from nominatim.errors import UsageError
-class SPCsvLoader(SPLoader):
+class SPCsvLoader:
"""
- Base class for special phrases loaders.
- Handle the loading of special phrases from external sources.
+ Handles loading of special phrases from external csv file.
"""
- def __init__(self, csv_path):
- super().__init__()
+ def __init__(self, csv_path: str) -> None:
self.csv_path = csv_path
- self.has_been_read = False
- def __next__(self):
- if self.has_been_read:
- raise StopIteration()
- self.has_been_read = True
- SPCsvLoader.check_csv_validity(self.csv_path)
- return SPCsvLoader.parse_csv(self.csv_path)
-
- @staticmethod
- def parse_csv(csv_path):
- """
- Open and parse the given csv file.
+ def generate_phrases(self) -> Iterable[SpecialPhrase]:
+ """ Open and parse the given csv file.
Create the corresponding SpecialPhrases.
"""
- phrases = set()
+ self._check_csv_validity()
- with open(csv_path) as file:
- reader = csv.DictReader(file, delimiter=',')
+ with open(self.csv_path, encoding='utf-8') as fd:
+ reader = csv.DictReader(fd, delimiter=',')
for row in reader:
- phrases.add(
- SpecialPhrase(row['phrase'], row['class'], row['type'], row['operator'])
- )
- return phrases
+ yield SpecialPhrase(row['phrase'], row['class'], row['type'], row['operator'])
+
- @staticmethod
- def check_csv_validity(csv_path):
+ def _check_csv_validity(self) -> None:
"""
Check that the csv file has the right extension.
"""
- _, extension = os.path.splitext(csv_path)
+ _, extension = os.path.splitext(self.csv_path)
if extension != '.csv':
- raise UsageError('The file {} is not a csv file.'.format(csv_path))
+ raise UsageError(f'The file {self.csv_path} is not a csv file.')