235 lines
10 KiB
Python
Executable File
235 lines
10 KiB
Python
Executable File
#!/usr/bin/env python3
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import argparse
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import csv
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import sys
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import json
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import logging
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import requests
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import hashlib
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import io
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import datetime
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import pandas as pd
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from rich import progress
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from rich.logging import RichHandler
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from rich.console import Console
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from rich.traceback import install
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install(show_locals=True, locals_max_length=150, locals_max_string=300)
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global YEARS
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YEARS = [2020, 2021, 2022, 2023, 2024]
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global INFLATION_RATES
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INFLATION_RATES = {
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2014: 0.8,
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2015: 0.7,
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2016: 0.4,
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2017: 1.7,
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2018: 1.9,
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2019: 1.4,
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2020: 0.4,
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2021: 3.2,
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2022: 8.7,
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2023: 6.0,
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2024: 2.5,
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}
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class Company:
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def __init__(self, data, report, writer) -> None:
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self.data = data
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self.writer = writer
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self.report = report
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self.cleaned_data = dict()
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self.cleaned_data["bvd_id"] = data["BvD ID Nummer"]
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self.cleaned_data["name"] = data["Unternehmensname"]
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for year in YEARS:
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self.clean_complex(year, "vor")
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self.clean_complex(year, "nach")
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self.clean_simple(year, "Eigenkapital")
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self.clean_simple(year, "Steuern")
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def clean_simple(self, year: int, type: str) -> None:
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"""Clean simple data. This means tax and capital."""
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try:
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self.cleaned_data[f"{self.get_simple_suffix(type)}{year}"] = int(self.data[f"{type} EUR {year}"])
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except ValueError:
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self.report.log.debug(f"{self.cleaned_data['name']}: {self.get_simple_suffix(type)}{year} ValueError")
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def get_simple_suffix(self, type: str) -> str:
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"""Get suffix for the simple cleaning process"""
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return "ek" if type == "Eigenkapital" else "st"
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def clean_complex(self, year: int, state: str) -> None:
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"""Clean the complex data. This means earnings before/after tax."""
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try:
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if f"Gewinn/(Verlust) {state} Steuern EUR {year}" in self.data.keys() and self.data[f"Gewinn/(Verlust) {state} Steuern EUR {year}"] != '' and not self.cleaned_data.get(f"gn{year}"):
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self.cleaned_data[f"g{self.get_suffix(state)}{year}"] = int(self.data[f"Gewinn/(Verlust) {state} Steuern EUR {year}"])
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elif f"Gewinn/Verlust {state} Steuern EUR {year}" in self.data.keys() and self.data[f"Gewinn/Verlust {state} Steuern EUR {year}"] != '' and not self.cleaned_data.get(f"gn{year}"):
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self.cleaned_data[f"g{self.get_suffix(state)}{year}"] = int(self.data[f"Gewinn/Verlust {state} Steuern EUR {year}"])
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else:
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self.report.log.debug(f"{self.cleaned_data['name']}:g{self.get_suffix(state)}{year} empty value")
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except ValueError:
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self.report.log.debug(f"{self.cleaned_data['name']}: g{self.get_suffix(state)}{year} ValueError")
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def get_suffix(self, state: str) -> str:
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"""Get suffix for the complex cleaning process."""
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return "n" if state == "nach" else "v"
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def calculate_all_tax(self) -> None:
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"""Calculate tax for all relevant years."""
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self.calculate_tax(2020)
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self.calculate_tax(2021)
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self.calculate_tax(2022)
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self.calculate_tax(2023)
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self.calculate_tax(2024)
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def calculate_tax(self, year: int) -> None:
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"""Calculate simple tax from provided values."""
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if not self.cleaned_data.get(f"st{year}") and self.cleaned_data.get(f"gv{year}") != None and self.cleaned_data.get(f"gn{year}") != None:
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self.cleaned_data[f"st{year}"] = self.cleaned_data.get(f"gv{year}") - self.cleaned_data.get(f"gn{year}")
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def reporter(self) -> None:
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"""Simple class to report valid and invalid data to the main import class."""
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for year in YEARS:
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if self.cleaned_data.get(f"st{year}") and self.cleaned_data.get(f"ek{year}"):
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self.report.valid_data += 1
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else:
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self.report.invalid_data +=1
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def calculate_data(self) -> None:
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"""Calculate data relevant to the project."""
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for year in YEARS:
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if self.cleaned_data.get(f"st{year}") and self.cleaned_data.get(f"gv{year}") and self.cleaned_data.get(f"gn{year}") and self.cleaned_data.get(f"ek{year}"):
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self.cleaned_data[f"nomtax{year}"] = self.cleaned_data.get(f"st{year}") / self.cleaned_data.get(f"gv{year}")
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self.cleaned_data[f"realtax{year}"] = (self.cleaned_data.get(f"st{year}") + (INFLATION_RATES[year] * self.cleaned_data.get(f"gv{year}"))) / self.cleaned_data.get(f"gv{year}")
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self.cleaned_data[f"realefftax{year}"] = (self.cleaned_data.get(f"st{year}") + (INFLATION_RATES[year] * self.cleaned_data.get(f"gv{year}")) + (INFLATION_RATES[year] * self.cleaned_data.get(f"ek{year}"))) / self.cleaned_data.get(f"gv{year}")
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def write(self) -> None:
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"""Write the current dataset to CSV"""
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with open(self.report.output) as out_csv:
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try:
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output_reader = pd.read_csv(out_csv)
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bvd_id = output_reader["bvd_id"]
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if not self.cleaned_data.get("bvd_id") in bvd_id:
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self.writer.writerow(self.cleaned_data)
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except pd.errors.EmptyDataError:
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self.writer.writerow(self.cleaned_data)
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class dataimport:
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def __init__(self, filename, logfile, output, seek=0) -> None:
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self.seek = seek
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self.progress = progress.Progress(
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*progress.Progress.get_default_columns(),
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progress.MofNCompleteColumn(),
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progress.TimeElapsedColumn(),
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expand=True
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)
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self.filename = filename
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FORMAT = "%(message)s"
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self.logfile = open(logfile, 'a')
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self.output = output
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if self.logfile != "NONE":
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self.logconsole = Console(file=self.logfile)
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logging.basicConfig(
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level="INFO", format=FORMAT, datefmt="[%X]", handlers=[
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RichHandler(rich_tracebacks=True, console=self.progress.console,
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show_path=False, show_time=False, level="NOTSET"),
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RichHandler(rich_tracebacks=True, console=self.logconsole,
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show_path=False, level="WARNING")])
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else:
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logging.basicConfig(
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level="INFO", format=FORMAT, datefmt="[%X]", handlers=[
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RichHandler(rich_tracebacks=True, console=self.progress.console,
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show_path=False, show_time=False, level="NOTSET")])
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self.log = logging.getLogger("import")
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self.total_rows = self.get_total(self.filename)
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self.errors = 0
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self.data = {}
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self.duplicate_database_id = None
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self.task = self.progress.add_task(f"Importing {self.filename.split('/')[-1]}", total=self.get_total(self.filename))
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self.progress.update(self.task, advance=self.seek)
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self.valid_data = 0
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self.invalid_data = 0
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self.importer()
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def importer(self) -> None:
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"""Start the actual import process. Seperates process and setup."""
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with self.progress:
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with open(self.filename, mode='r', encoding='utf-8-sig', newline='') as csv_file:
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with open(self.output, mode='a+', encoding='utf-8-sig', newline='') as output_csv:
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csv_reader = csv.DictReader(csv_file, delimiter=',')
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fieldnames = self.generate_fieldnames()
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output_writer = csv.DictWriter(output_csv, fieldnames=fieldnames)
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if self.get_total(self.output) == -1:
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self.log.warning(f"WRITING HEADER FOR FILE {self.output}!")
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output_writer.writeheader()
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rownum = 0
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for row in csv_reader:
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if rownum < self.seek:
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rownum += 1
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continue
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for key in csv_reader.fieldnames:
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self.data[key] = row[key]
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self.comp_import(self.data, output_writer)
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self.data = {}
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rownum += 1
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self.progress.update(self.task, advance=1)
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self.progress.console.rule()
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self.log.info(f"Rows: {self.total_rows}")
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self.log.info(f"Valid: {self.valid_data}")
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self.log.info(f"Invalid: {self.invalid_data}")
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if self.errors == 0:
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self.log.info(f"Errors: {self.errors}")
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self.progress.console.rule()
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elif self.errors > 0:
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self.log.error(f"Errors: {self.errors}")
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self.progress.console.rule()
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else:
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self.log.critical("ERROR CALCULATION EXCEPTION")
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def get_total(self, file) -> int:
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"""Get total data rows in the input file. Corrected for header row."""
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return sum(1 for _ in open(file, mode='r')) - 1
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def generate_fieldnames(self) -> list:
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"""Generate fieldnames for the export CSV."""
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fieldnames = ['bvd_id', 'name']
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for year in YEARS:
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fieldnames.append(f"gv{year}")
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fieldnames.append(f"gn{year}")
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fieldnames.append(f"st{year}")
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fieldnames.append(f"ek{year}")
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fieldnames.append(f"nomtax{year}")
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fieldnames.append(f"realtax{year}")
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fieldnames.append(f"realefftax{year}")
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return fieldnames
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def comp_import(self, data: dict, writer) -> None:
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"""Import the active dataset as a company. Give write directive."""
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current = Company(data, report=self, writer=writer)
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current.reporter()
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current.calculate_all_tax()
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current.calculate_data()
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current.write()
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parser = argparse.ArgumentParser(description='Import data from ORBIS', epilog='Copyright Denkena Consulting')
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parser.add_argument('filename', nargs="+")
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parser.add_argument('-l', '--logfile', default="log_importer", nargs="?")
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parser.add_argument('-o', '--output', default="export_cleaned.csv", nargs="?")
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parser.add_argument('-s', '--seek', type=int, default=0)
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args = parser.parse_args()
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if len(args.filename) > 1 and args.seek > 0:
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parser.error("Seek combined with multiple files is a bad idea!")
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for filename in args.filename:
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dataimport(filename, args.logfile, args.output, args.seek)
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