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from io import BytesIO |
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from typing import ClassVar, Final, final |
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from lxml import etree |
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# future: report mandatory usage of protected member to lxml developers at https://bugs.launchpad.net/lxml |
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# https://github.com/lxml/lxml/blob/a4a78214506409e5bbb6c4249cac0c0ca6479d3e/src/lxml/etree.pyx#L1877 |
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# https://github.com/lxml/lxml/blob/a4a78214506409e5bbb6c4249cac0c0ca6479d3e/src/lxml/etree.pyx#L3166 |
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# noinspection PyProtectedMember |
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from lxml.etree import XMLSchema, XMLSyntaxError, _Element |
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from pandas import DataFrame |
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import pandas as pd |
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from requests import HTTPError |
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from sqlalchemy import Column, MetaData, SmallInteger, String, Table, text |
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from zipfile import ZipFile |
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from src.new_data_processors.common import UICTableUpdater |
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def _uic_code_not_assigned(values: tuple[str, str, str]) -> bool: |
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return values[1] is None |
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def _swap_name(name: str) -> str: |
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return " ".join(name.split(", ")[::-1]) |
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@final |
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class CountriesUpdater(UICTableUpdater): |
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TABLE_NAME: ClassVar[str] = "countries" |
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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="code_iso", type_=String(2), nullable=False, index=True), |
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Column(name="code_uic", type_=SmallInteger, nullable=False, primary_key=True), |
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Column(name="name_en", type_=String(255), nullable=False), |
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Column(name="name_fr", type_=String(255)), |
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Column(name="name_de", type_=String(255)), |
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) |
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def __init__(self) -> None: |
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super().__init__() |
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self._data_to_validate: _Element = NotImplemented |
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self.namespace: dict = NotImplemented |
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self.DATA_URL = f"{self.DATA_BASE_URL}3984" |
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self._TAG_ROW: Final = "ns1:Country" |
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self._PATH_ROW: Final = f".//{self._TAG_ROW}" |
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self._TAG_BEGINNING_COLUMN: Final = f"{self._TAG_ROW}_" |
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self.XSD_URL: Final = f"{self.DATA_BASE_URL}320" |
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self._data_to_process = self.get_data(self.DATA_URL) |
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try: |
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self.xsd_to_process: Final = self.get_data(self.XSD_URL) |
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self._xsd: Final[etree.XMLSchema] = self.process_xsd() |
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except (HTTPError, IndexError) as exception: |
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self.logger.warning(exception) |
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self.logger.info(f"{self.__class__.__name__} initialized!") |
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def process_xsd(self) -> XMLSchema: |
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xsd_unzipped = self.unzip(self.xsd_to_process) |
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return XMLSchema(etree.parse(xsd_unzipped)) |
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def unzip(self, xsd: bytes) -> BytesIO: |
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with ZipFile(BytesIO(xsd), "r") as zipped_file: |
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file_names = zipped_file.infolist() |
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if len(file_names) > 1: |
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raise IndexError( |
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f"The .zip file downloaded from {self.XSD_URL} has more than one file in it!" |
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) |
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only_file_name = file_names[0] |
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return BytesIO(zipped_file.read(only_file_name)) |
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def process_data(self) -> None: |
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try: |
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self.validate_data() |
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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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self.data = self.read_data_from_xml() |
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self.rename_columns_manually() |
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self.drop_unnecessary_columns() |
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self.swap_names_separated_with_comma() |
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def validate_data(self) -> None: |
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try: |
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parsed_data = etree.parse(BytesIO(self._data_to_process)) |
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self.logger.debug( |
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f"Data downloaded from {self.DATA_URL} successfully parsed!" |
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) |
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self._data_to_validate = parsed_data.getroot() |
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except XMLSyntaxError: |
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self._data_to_process = self.remove_first_line(self._data_to_process) |
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self.validate_data() |
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self.namespace = self._data_to_validate.nsmap |
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if not self.is_data_valid(): |
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raise ValueError( |
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f"The .xml file downloaded from {self.DATA_URL} is invalid " |
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f"according to the .xsd downloaded and unzipped from {self.XSD_URL}!" |
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) |
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self.logger.debug( |
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f"Data downloaded from {self.DATA_URL} successfully validated!" |
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) |
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def remove_first_line(self, data: bytes) -> bytes: |
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try: |
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lines = data.split(b"\n", 1) |
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return lines[1] |
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finally: |
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self.logger.debug( |
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f"First line removed from data downloaded from {self.DATA_URL}!" |
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) |
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def is_data_valid(self) -> bool: |
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if self._xsd and self._xsd.validate(self._data_to_validate): |
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return True |
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else: |
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return False |
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def read_data_from_xml(self) -> DataFrame: |
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# future: report wrong documentation URL of pd.read_xml() to JetBrains or pandas developers |
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return pd.read_xml( |
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path_or_buffer=BytesIO(self._data_to_process), |
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xpath=self._PATH_ROW, |
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namespaces=self.namespace, |
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) |
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def rename_columns_manually(self) -> None: |
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self.data.rename( |
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columns={ |
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"Country_ISO_Code": "code_iso", |
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"Country_UIC_Code": "code_uic", |
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"Country_Name_EN": "name_en", |
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"Country_Name_FR": "name_fr", |
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"Country_Name_DE": "name_de", |
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}, |
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inplace=True, |
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) |
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def drop_unnecessary_columns(self) -> None: |
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self.data.dropna( |
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subset=["code_uic"], |
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inplace=True, |
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) |
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def swap_names_separated_with_comma(self) -> None: |
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columns_to_swap = [ |
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"name_en", |
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"name_fr", |
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"name_de", |
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] |
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self.data["name_en"] = self.data["name_en"].apply(lambda x: x.rstrip()) |
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for column_name in columns_to_swap: |
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self.data[column_name] = self.data[column_name].apply( |
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lambda x: _swap_name(x) |
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) |
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def add_data(self) -> None: |
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with self.database.engine.begin() as connection: |
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for index, row in self.data.iterrows(): |
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query = """ |
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insert ignore into countries ( |
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code_iso, |
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code_uic, |
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name_en, |
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name_fr, |
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name_de |
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) |
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values ( |
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:code_iso, |
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:code_uic, |
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:name_en, |
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:name_fr, |
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:name_de |
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) |
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""" |
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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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self.logger.info( |
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f"Successfully added new data downloaded from {self.DATA_URL} to table `countries`!" |
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) |
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gy-mate /
kalauz
