Create geonames.py

geonames.py

@@ -0,0 +1,114 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+import os
+from functools import partial
+from pathlib import Path
+
+import datasets
+import pandas as pd
+from datasets import DatasetDict, load_dataset
+
+from data.data_loader_base import DataLoaderBase
+
+VERSION = datasets.Version("0.0.1")
+
+AVAILABLE_DATASETS = {
+    'geonames': 'https://download.geonames.org/export/dump/allCountries.zip',
+    'alternateNames': 'https://download.geonames.org/export/dump/alternateNames.zip',
+}
+FIELDS = [
+    "geonameid",  # integer id of record in geonames database
+    "name",  # name of geographical point (utf8) varchar(200)
+    "asciiname",  # name of geographical point in plain ascii characters, varchar(200)
+    "alternatenames",
+    # alternatenames, comma separated, ascii names automatically transliterated, convenience attribute from alternatename table, varchar(10000)
+    "latitude",  # latitude in decimal degrees (wgs84)
+    "longitude",  # longitude in decimal degrees (wgs84)
+    "feature_class",  # see http://www.geonames.org/export/codes.html, char(1)
+    "feature_code",  # see http://www.geonames.org/export/codes.html, varchar(10)
+    "country_code",  # ISO-3166 2-letter country code, 2 characters
+    "cc2",
+    # alternate country codes, comma separated, ISO-3166 2-letter country code, 200 characters
+    "admin1_code",
+    # fipscode (subject to change to iso code), see exceptions below, see file admin1Codes.txt for display names of this code; varchar(20)
+    "admin2_code",
+    # code for the second administrative division, a county in the US, see file admin2Codes.txt; varchar(80)
+    "admin3_code",  # code for third level administrative division, varchar(20)
+    "admin4_code",  # code for fourth level administrative division, varchar(20)
+    "population",  # bigint (8 byte int)
+    "elevation",  # in meters, integer
+    "dem",
+    # digital elevation model, srtm3 or gtopo30, average elevation of 3''x3'' (ca 90mx90m) or 30''x30'' (ca 900mx900m) area in meters, integer. srtm processed by cgiar/ciat.
+    "timezone",  # the iana timezone id (see file timeZone.txt) varchar(40)
+    "modification_date",  # date of last modification in yyyy-MM-dd format"
+]
+
+
+class GeonamesDataset(datasets.GeneratorBasedBuilder, DataLoaderBase):
+    """GeonamesDataset dataset."""
+
+    @staticmethod
+    def load(data_name_config: str = "geonames") -> DatasetDict:
+        ds = load_dataset(__file__, data_name_config)
+        return ds
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description="",
+            features=datasets.Features(
+                {
+                    "geonameid": datasets.Value("string"),
+                    "name": datasets.Value("string"),
+                    "asciiname": datasets.Value("string"),
+                    "alternatenames": datasets.Value("string"),
+                    "latitude": datasets.Value("string"),
+                    "longitude": datasets.Value("string"),
+                    "feature_class": datasets.Value("string"),
+                    "feature_code": datasets.Value("string"),
+                    "country_code": datasets.Value("string"),
+                    "cc2": datasets.Value("string"),
+                    "admin1_code": datasets.Value("string"),
+                    "admin2_code": datasets.Value("string"),
+                    "admin3_code": datasets.Value("string"),
+                    "admin4_code": datasets.Value("string"),
+                    "population": datasets.Value("string"),
+                    "elevation": datasets.Value("string"),
+                    "dem": datasets.Value("string"),
+                    "timezone": datasets.Value("string"),
+                    "modification_date": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+            homepage="https://download.geonames.org/export/zip/",
+            citation="",
+        )
+
+    def _split_generators(self, dl_manager):
+        root_paths = {
+            "geonames":  Path(dl_manager.download_and_extract(AVAILABLE_DATASETS["geonames"]))/'allCountries.txt',
+            "alternateNames":  Path(dl_manager.download_and_extract(AVAILABLE_DATASETS["alternateNames"]))/'alternateNames.txt',
+        }
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "root_path": root_paths, "split": "train"
+                },
+            ),
+        ]
+
+    def _generate_examples(self, root_path, split):
+        data_file = str(root_path["geonames"])
+        data = pd.read_csv(
+            data_file, sep="\t", header=None,
+            encoding='utf-8', usecols=list(range(len(FIELDS))), names=FIELDS
+        )
+        # data_file = str(root_path["alternateNames"])
+        # alt_data = pd.read_csv(
+        #     data_file, sep="\t", header=None,
+        #     encoding='utf-8', names=["id", "geonameid", "altname"], nrows=100
+        # )
+        # data = data.merge(alt_data, on="geonameid", how="left")
+        for idx, sample in data.iterrows():
+            yield idx, dict(sample)
+