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import re |
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from typing import ClassVar, Final |
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from bs4 import BeautifulSoup |
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from sqlalchemy import ( |
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Boolean, |
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Column, |
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Integer, |
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MetaData, |
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SmallInteger, |
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String, |
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Table, |
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text, |
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) |
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from src.new_data_processors.common import ( |
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DataDownloader, |
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) |
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from src.new_data_processors.common_excel_processors import ExcelProcessorSimple |
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def _translate_operating_site_type(operating_site_type: str) -> str: |
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dictionary = { |
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"állomás": "station", |
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"egyéb": "other", |
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"elágazás": "spur", |
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"eldöntő pont": "decision_point", |
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"forgalmi kitérő": "crossover", |
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"iparvágány": "industrial_track", |
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"iparvágány kiágazás": "industrial_track_spur", |
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"keresztezés": "crossing", |
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"megálló-elágazóhely": "spur_halt", |
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"megálló-rakodóhely": "loading_halt", |
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"megállóhely": "halt", |
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"megállóhely-iparvágány kiágazás": "industrial_track_spur_halt", |
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"nem definiált": "undefined", |
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"országhatár": "border_crossing", |
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"pályavasúti határpont": "railway_border_crossing", |
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"rakodóhely": "loading_point", |
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"vágányfonódás-elágazás": "gauntlet_spur", |
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} |
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return dictionary[operating_site_type] |
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class OperatingSitesUpdater(ExcelProcessorSimple, DataDownloader): |
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TABLE_NAME: ClassVar[str] = "operating_sites" |
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database_metadata: ClassVar[MetaData] = MetaData() |
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table: ClassVar[Table] = Table( |
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TABLE_NAME, |
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database_metadata, |
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Column(name="name", type_=String(255), nullable=False), |
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Column(name="name_shortened", type_=String(255)), |
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Column(name="name_short", type_=String(255)), |
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Column(name="operator", type_=String(255)), |
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Column(name="type", type_=String(255)), |
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Column( |
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name="code_uic", type_=Integer, nullable=False, index=True, primary_key=True |
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), |
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Column(name="code_telegraph", type_=String(4)), |
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Column(name="category_passenger", type_=SmallInteger), |
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Column(name="category_freight", type_=SmallInteger), |
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Column(name="traffic_passenger", type_=Boolean), |
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Column(name="traffic_freight", type_=Boolean), |
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Column(name="terminus", type_=Boolean), |
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Column(name="request_stop", type_=Boolean), |
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Column(name="train_meeting", type_=Boolean), |
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Column(name="open_to_train_operators", type_=Boolean), |
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) |
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def __init__(self) -> None: |
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super().__init__() |
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self.WEBSITE_DOMAIN: Final = "https://www.kapella2.hu" |
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self.WEBSITE_URL: Final = ( |
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f"/ehuszfelulet/szolgalatihelyek?vizsgalt_idopont=" |
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f"{self.TODAY}&vizsgalt_idoszak_kezdo={self.TODAY}&vizsgalt_idoszak_veg={self.TODAY}" |
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) |
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self.INFRA_ID: int = NotImplemented |
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self.INFRA_ID_URL: str = NotImplemented |
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self.XLS_URL: str = NotImplemented |
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self._data_to_process = self.get_data(self.WEBSITE_DOMAIN + self.WEBSITE_URL) |
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self.logger.info(f"{self.__class__.__name__} initialized!") |
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def get_data(self, url: str) -> bytes: |
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splash_page_soup = self.get_splash_page(url) |
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self.get_infra_id(splash_page_soup, url) |
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list_page = self.download_list_page(url) |
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return self.download_xls_file(list_page) |
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def get_splash_page(self, url: str) -> BeautifulSoup: |
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splash_page = super().get_data(url) |
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splash_page_soup = BeautifulSoup( |
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markup=splash_page, |
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features="lxml", |
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) |
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return splash_page_soup |
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def get_infra_id(self, splash_page_soup, url) -> None: |
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try: |
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select_tag = splash_page_soup.find( |
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name="select", |
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attrs={"name": "infra_id"}, |
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) |
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if not select_tag: |
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self.logger.critical(f"No `select` tag found on the splash page at {url}!") |
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raise ValueError |
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except ValueError as exception: |
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self.logger.critical(exception) |
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raise |
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# future: report bug (false positive) to mypy developers |
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self.INFRA_ID = int(select_tag.find("option")["value"]) # type: ignore |
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def download_list_page(self, url: str) -> bytes: |
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self.INFRA_ID_URL = f"&infra_id={self.INFRA_ID}" |
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list_page = super().get_data(url + self.INFRA_ID_URL) |
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return list_page |
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def download_xls_file(self, list_page: bytes) -> bytes: |
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self.XLS_URL = re.findall( |
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pattern=r"/ehuszfelulet/excelexport\?id_xls=\w+", |
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string=str(list_page), |
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)[0] |
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return super().get_data(self.WEBSITE_DOMAIN + self.XLS_URL) |
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def rename_columns_manually(self) -> None: |
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# future: report wrong display and copying of hyphen (e.g. Fil'akovo) to pandas and JetBrains developers |
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self.data.rename( |
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columns={ |
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"Hosszú név": "name", |
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"Rövid név": "name_shortened", |
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"Polgári név": "name_short", |
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"Társaság": "operator", |
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"Szolgálati hely típus": "type", |
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"PLC kód": "code_uic", |
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"Távíró kód": "code_telegraph", |
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"Állomáskategória személyvonatok számára": "category_passenger", |
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"Állomáskategória tehervonatok számára": "category_freight", |
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"Személy szállításra megnyitva": "traffic_passenger", |
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"Áru szállításra megnyitva": "traffic_freight", |
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"Menetvonal kezdő/végpontja": "terminus", |
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"Feltételes megállás lehetséges": "request_stop", |
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"Vonattalálkozásra alkalmas": "train_meeting", |
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"Szolg. hely nyílt": "open_to_train_operators", |
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}, |
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inplace=True, |
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) |
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def correct_data_manually(self) -> None: |
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self.data["type"] = self.data["type"].apply( |
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lambda x: _translate_operating_site_type(str(x)) |
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) |
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self.replace_code_uic_letters() |
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def replace_code_uic_letters(self) -> None: |
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country_codes_iso = ["HU", "AT", "SK", "UA", "RO", "RS", "HR", "SI"] |
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for country_code_iso in country_codes_iso: |
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country_code_uic = self.get_uic_code(country_code_iso) |
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self.data["code_uic"] = self.data["code_uic"].str.replace( |
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pat=country_code_iso, |
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repl=country_code_uic, |
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) |
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def get_uic_code(self, country_code_iso: str) -> str: |
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with self.database.engine.begin() as connection: |
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query = """ |
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select code_uic |
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from countries |
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where code_iso = :country_code_iso |
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""" |
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result = connection.execute( |
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text(query), |
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{"country_code_iso": country_code_iso}, |
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).fetchone() |
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try: |
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assert result is not None |
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except AssertionError as exception: |
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self.logger.critical(exception) |
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raise |
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return str(result[0]) |
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def correct_boolean_values(self) -> None: |
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boolean_columns = [ |
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"traffic_passenger", |
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"traffic_freight", |
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"terminus", |
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"request_stop", |
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"train_meeting", |
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"open_to_train_operators", |
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] |
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for column in boolean_columns: |
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self.data[column] = self.data[column].apply(lambda x: x == "igen") |
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def add_data(self) -> None: |
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with self.database.engine.begin() as connection: |
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queries = [ |
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""" |
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insert ignore into operating_sites ( |
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name, |
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name_shortened, |
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name_short, |
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operator, |
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type, |
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code_uic, |
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code_telegraph, |
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category_passenger, |
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category_freight, |
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traffic_passenger, |
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traffic_freight, |
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terminus, |
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request_stop, |
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train_meeting, |
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open_to_train_operators |
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) |
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values ( |
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:name, |
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:name_shortened, |
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:name_short, |
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:operator, |
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:type, |
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:code_uic, |
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:code_telegraph, |
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:category_passenger, |
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:category_freight, |
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:traffic_passenger, |
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:traffic_freight, |
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:terminus, |
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:request_stop, |
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:train_meeting, |
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:open_to_train_operators |
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) |
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""", |
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""" |
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update operating_sites |
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set |
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name = :name, |
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name_shortened = :name_shortened, |
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name_short = :name_short, |
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operator = :operator, |
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type = :type, |
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code_telegraph = :code_telegraph, |
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category_passenger = :category_passenger, |
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category_freight = :category_freight, |
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traffic_passenger = :traffic_passenger, |
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traffic_freight = :traffic_freight, |
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terminus = :terminus, |
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request_stop = :request_stop, |
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train_meeting = :train_meeting, |
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open_to_train_operators = :open_to_train_operators |
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where code_uic = :code_uic |
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""", |
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] |
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257
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for index, row in self.data.iterrows(): |
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for query in queries: |
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connection.execute( |
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text(query), |
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row.to_dict(), |
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) |
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gy-mate /
kalauz
