OpenWeatherMap の City ID から日本のものを抽出する

OpenWeatheMapに登録されている City ID から 日本のものを抽出してみました。

入力データ

city.list.json

抽出プログラム

read_city.js

#! /usr/bin/node
// ---------------------------------------------------------------
//  read_city.js
//
//                  May/03/2018
//
// ---------------------------------------------------------------
var fs = require("fs")
// ---------------------------------------------------------------
function sort_proc(array_in)
{
    array_in.sort(function(a,b){
        if(a.name < b.name)
            {
            return -1
            }
        else if(a.name > b.name)
            {
            return 1
            }
        else
            {
            return 0
            }
        })
}

// ---------------------------------------------------------------
function pick_up_proc(array_aa)
{
    var nn_jp = 0
    array_out = []
    array_aa.forEach(function(city)
        {
        if (city.country == "JP")
            {
            nn_jp += 1
            array_out.push(city)
            }
        })

    console.error("nn_jp = " + nn_jp)

    return  array_out
}

// ---------------------------------------------------------------
function out_proc(array_out)
{
    array_out.forEach(function(city)
        {
        var str_out = ""
        str_out += city.name + "\t" + city.id + "\t"
        str_out += city.coord.lat.toFixed(2) + "\t"
        str_out += city.coord.lon.toFixed(2)
        console.log(str_out)
        })
}

// ---------------------------------------------------------------
console.error ("*** 開始 ***")

const filename=process.argv[2]

console.error (filename)

const json_str = fs.readFileSync (filename,'utf8')
const array_aa = JSON.parse (json_str)

console.error("array_aa.length = " + array_aa.length)

var array_out = pick_up_proc(array_aa)


sort_proc(array_out)

out_proc(array_out)

console.error ("*** 終了 ***")
// ---------------------------------------------------------------

実行方法

./read_city.js city.list.json > city_list.txt

実行結果 (1402 の内の冒頭 50)

city_list.txt

Abashiri    2130741 44.02   144.27
Abiko   2113164 35.87   140.02
Abira   2130732 42.82   141.83
Ageki   1865721 35.15   136.52
Agematsu    1865720 35.78   137.69
Ageo    1865714 35.97   139.59
Aibetsu 2130723 43.91   142.58
Aichi-ken   1865694 35.18   136.91
Aioi-shi    1865661 34.80   134.47
Aisai   6822212 35.16   136.73
Ajigasawa   2130708 40.77   140.20
Akabira 2130705 43.55   142.05
Akaigawa    2130700 43.08   140.82
Akanuma 2113136 37.37   140.43
Akashi  1847966 34.63   134.98
Akashichō  1865485 35.67   139.78
Aki 1865449 33.50   133.90
Akiruno-shi 6822131 35.73   139.29
Akita   2113126 39.72   140.12
Akita Shi   2113719 39.72   140.10
Akita-ken   2113124 39.75   140.41
Akkeshi 2130677 43.04   144.85
Ako 1865412 34.75   134.40
Akuchi  1865404 35.02   133.63
Akune   1865401 32.02   130.20
Amagasaki   1865387 34.72   135.42
Amagi   1865375 33.42   130.65
Ami 2113115 36.03   140.20
Anamizu 1865312 37.23   136.90
Anan    1865309 33.92   134.65
Anjo    1865294 34.96   137.08
Annaka  1865290 36.32   138.90
Aoichō 1865264 35.17   136.92
Aoki    1865256 36.37   138.13
Aomori-ken  2130656 40.78   140.83
Aomori-shi  2130658 40.82   140.74
Aone    2114152 38.14   140.53
Arai    1865207 37.02   138.25
Arimatsu    1865110 35.07   136.97
Arita   1865103 33.18   129.90
Asagaya 1865090 35.70   139.65
Asahi   1865086 35.90   136.66
Asahi   6416230 34.06   133.00
Asahi   6697514 35.97   136.12
Asahi   2113077 35.72   140.65
Asahikawa   2130629 43.77   142.37
Asaka   1907299 35.80   139.60
Ashibetsu   2130612 43.51   142.19
Ashiharachō    1865006 34.67   135.50
Ashikaga    1865005 36.33   139.45