analyser_merge_parking_FR_BNLS.py

#!/usr/bin/env python
# -*- coding: utf-8 -*-

#########################################################################
#                                                                       #
# Copyrights Vincent Bergeot (thanks Frédéric Rodrigo) 2020             #
#                                                                       #
# This program is free software: you can redistribute it and/or modify  #
# it under the terms of the GNU General Public License as published by  #
# the Free Software Foundation, either version 3 of the License, or     #
# (at your option) any later version.                                   #
#                                                                       #
# This program is distributed in the hope that it will be useful,       #
# but WITHOUT ANY WARRANTY; without even the implied warranty of        #
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the         #
# GNU General Public License for more details.                          #
#                                                                       #
# You should have received a copy of the GNU General Public License     #
# along with this program.  If not, see <http://www.gnu.org/licenses/>. #
#                                                                       #
#########################################################################

from modules.OsmoseTranslation import T_

from .Analyser_Merge import (
    CSV,
    Analyser_Merge_Point,
    Conflate,
    Load_XY,
    Mapping,
    Select,
    SourceDataGouv,
)


class Analyser_Merge_Parking_FR_BNLS(Analyser_Merge_Point):
    def __init__(self, config, logger=None):
        Analyser_Merge_Point.__init__(self, config, logger)

        doc_detail = T_(
            """This parking is referenced in the database of car parks managed by local authorities in France, off-street.

See [the mapping](https://wiki.openstreetmap.org/wiki/France/data.gouv.fr/Base_nationale_des_lieux_de_stationnement)
on the wiki. Add a node or add tags if already existing."""
        )

        self.missing_official = self.def_class(
            item=8130,
            id=51,
            level=3,
            tags=["merge", "parking", "fix:imagery", "fix:survey"],
            title=T_("{0} parking not integrated", "BNLS"),
            detail=doc_detail,
        )
        self.possible_merge = self.def_class(
            item=8131,
            id=53,
            level=3,
            tags=["merge", "parking", "fix:imagery", "fix:chair"],
            title=T_("{0} parking integration suggestion", "BNLS"),
            detail=doc_detail,
            trap=T_(
                """It is not street parking, it is off-road parking (with or without fee, for all or not...)"""
            ),
        )
        self.update_official = self.def_class(
            item=8132,
            id=54,
            level=3,
            tags=["merge", "parking", "fix:chair", "fix:survey"],
            title=T_("{0} parking  update", "BNLS"),
            detail=doc_detail,
        )

        self.init(
            "https://www.data.gouv.fr/fr/datasets/base-nationale-des-lieux-de-stationnement/",
            "Base Nationale des Lieux de Stationnement",
            CSV(
                SourceDataGouv(
                    attribution="Équipe du Point d'Accès National",
                    encoding="utf-8-sig",
                    dataset="5ea1add4a5a7dac3af82310a",
                    resource="e32f7675-913b-4e01-b8c8-0a29733e4407",
                ),
                separator=",",
            ),
            Load_XY(
                "Xlong",
                "Ylat",
                xFunction=Load_XY.float_comma,
                yFunction=Load_XY.float_comma,
            ),
            Conflate(
                select=Select(types=["nodes", "ways"], tags={"amenity": "parking"}),
                conflationDistance=200,
                osmRef="ref:FR:BNLS",
                mapping=Mapping(
                    static1={"amenity": "parking"},
                    static2={"source": self.source},
                    mapping1={
                        "ref:FR:BNLS": "id",
                        "name": "nom",
                        "website": "url",
                        "access": lambda res: (
                            "yes"
                            if res["type_usagers"] == "tous"
                            else (
                                "customers"
                                if res["type_usagers"] == "abonnés"
                                else None
                            )
                        ),
                        "fee": lambda res: "yes" if res["gratuit"] == "0" else None,
                        "capacity": lambda res: (
                            res["nb_places"] if res["nb_places"] != "0" else None
                        ),
                        "capacity:disabled": lambda res: (
                            res["nb_pmr"] if res["nb_pmr"] != "0" else None
                        ),
                        "capacity:charging": lambda res: (
                            res["nb_voitures_electriques"]
                            if res["nb_voitures_electriques"] != "0"
                            else None
                        ),
                        "maxheight": lambda res: (
                            int(res["hauteur_max"]) / 100
                            if res["hauteur_max"] != "N/A"
                            else None
                        ),
                        "parking": lambda res: (
                            "surface"
                            if res["type_ouvrage"] == "enclos_en_surface"
                            else None
                        ),
                    },
                    text=lambda tags, fields: {
                        "en": "Parking {0}".format(tags["name"])
                    },
                ),
            ),
        )