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https://github.com/osm-search/Nominatim.git
synced 2026-02-26 11:08:13 +00:00
add type annotations to tool functions
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@@ -8,7 +8,9 @@
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Functions for importing, updating and otherwise maintaining the table
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of artificial postcode centroids.
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"""
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from typing import Optional, Tuple, Dict, List, TextIO
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from collections import defaultdict
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from pathlib import Path
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import csv
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import gzip
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import logging
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@@ -16,18 +18,19 @@ from math import isfinite
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from psycopg2 import sql as pysql
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from nominatim.db.connection import connect
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from nominatim.db.connection import connect, Connection
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from nominatim.utils.centroid import PointsCentroid
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from nominatim.data.postcode_format import PostcodeFormatter
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from nominatim.data.postcode_format import PostcodeFormatter, CountryPostcodeMatcher
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from nominatim.tokenizer.base import AbstractAnalyzer, AbstractTokenizer
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LOG = logging.getLogger()
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def _to_float(num, max_value):
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def _to_float(numstr: str, max_value: float) -> float:
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""" Convert the number in string into a float. The number is expected
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to be in the range of [-max_value, max_value]. Otherwise rises a
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ValueError.
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"""
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num = float(num)
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num = float(numstr)
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if not isfinite(num) or num <= -max_value or num >= max_value:
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raise ValueError()
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@@ -37,18 +40,19 @@ class _PostcodeCollector:
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""" Collector for postcodes of a single country.
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"""
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def __init__(self, country, matcher):
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def __init__(self, country: str, matcher: Optional[CountryPostcodeMatcher]):
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self.country = country
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self.matcher = matcher
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self.collected = defaultdict(PointsCentroid)
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self.normalization_cache = None
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self.collected: Dict[str, PointsCentroid] = defaultdict(PointsCentroid)
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self.normalization_cache: Optional[Tuple[str, Optional[str]]] = None
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def add(self, postcode, x, y):
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def add(self, postcode: str, x: float, y: float) -> None:
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""" Add the given postcode to the collection cache. If the postcode
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already existed, it is overwritten with the new centroid.
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"""
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if self.matcher is not None:
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normalized: Optional[str]
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if self.normalization_cache and self.normalization_cache[0] == postcode:
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normalized = self.normalization_cache[1]
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else:
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@@ -60,7 +64,7 @@ class _PostcodeCollector:
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self.collected[normalized] += (x, y)
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def commit(self, conn, analyzer, project_dir):
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def commit(self, conn: Connection, analyzer: AbstractAnalyzer, project_dir: Path) -> None:
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""" Update postcodes for the country from the postcodes selected so far
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as well as any externally supplied postcodes.
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"""
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@@ -94,7 +98,8 @@ class _PostcodeCollector:
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""").format(pysql.Literal(self.country)), to_update)
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def _compute_changes(self, conn):
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def _compute_changes(self, conn: Connection) \
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-> Tuple[List[Tuple[str, float, float]], List[str], List[Tuple[str, float, float]]]:
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""" Compute which postcodes from the collected postcodes have to be
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added or modified and which from the location_postcode table
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have to be deleted.
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@@ -116,12 +121,12 @@ class _PostcodeCollector:
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to_delete.append(postcode)
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to_add = [(k, *v.centroid()) for k, v in self.collected.items()]
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self.collected = None
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self.collected = defaultdict(PointsCentroid)
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return to_add, to_delete, to_update
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def _update_from_external(self, analyzer, project_dir):
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def _update_from_external(self, analyzer: AbstractAnalyzer, project_dir: Path) -> None:
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""" Look for an external postcode file for the active country in
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the project directory and add missing postcodes when found.
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"""
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@@ -151,7 +156,7 @@ class _PostcodeCollector:
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csvfile.close()
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def _open_external(self, project_dir):
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def _open_external(self, project_dir: Path) -> Optional[TextIO]:
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fname = project_dir / f'{self.country}_postcodes.csv'
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if fname.is_file():
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@@ -167,7 +172,7 @@ class _PostcodeCollector:
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return None
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def update_postcodes(dsn, project_dir, tokenizer):
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def update_postcodes(dsn: str, project_dir: Path, tokenizer: AbstractTokenizer) -> None:
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""" Update the table of artificial postcodes.
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Computes artificial postcode centroids from the placex table,
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@@ -220,7 +225,7 @@ def update_postcodes(dsn, project_dir, tokenizer):
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analyzer.update_postcodes_from_db()
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def can_compute(dsn):
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def can_compute(dsn: str) -> bool:
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"""
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Check that the place table exists so that
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postcodes can be computed.
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