117 lines
3.2 KiB
Python
117 lines
3.2 KiB
Python
from pathlib import Path
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import click
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import numpy as np
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import pandas as pd
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import pdfplumber
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def extract_situation_loc(table):
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try:
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df = pd.DataFrame(table[1:], columns=table[0])
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except IndexError:
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print(table)
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rows = []
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for i, row in df[df["Locataires"] == "Totaux"].iterrows():
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above_row_loc = df.iloc[i - 1]["Locataires"]
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up_row = pd.concat(
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[
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row,
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parse_above_loc(above_row_loc),
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]
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)
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rows.append(up_row)
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df_cleaned = pd.concat(rows, axis=1).T
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df_cleaned.drop(["Locataires", "", "Période"], axis=1, inplace=True)
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return df_cleaned
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def parse_above_loc(content):
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row = {}
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try:
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app, loc = content.split("\n")
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except ValueError:
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row["lot"] = ""
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row["type"] = ""
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row["locataire"] = content
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else:
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app_ = app.split(" ")
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row["lot"] = app_[1]
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row["type"] = " ".join(app_[2:])
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row["locataire"] = loc
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return pd.Series(row)
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def extract_charge(table):
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df = (
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pd.DataFrame(table[1:], columns=table[0])
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.replace("", np.nan)
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.dropna(subset=["Débits"])
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)
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drop_index = df[
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df["RECAPITULATIF DES OPERATIONS"].str.contains("TOTAUX", case=False)
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or df["RECAPITULATIF DES OPERATIONS"].str.contains("solde", case=False)
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].index
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df.drop(drop_index, inplace=True)
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return df
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charge_table_settings = {
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"vertical_strategy": "lines",
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"horizontal_strategy": "text",
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}
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def extract_from_pdf(pdf, charge_dest, location_dest):
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loc_table = []
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for page in pdf.pages:
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situation_loc_line = [
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l
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for l in page.extract_text().split("\n")
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if "SITUATION DES LOCATAIRES" in l
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]
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if situation_loc_line:
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mois, annee = situation_loc_line[0].split(" ")[-2:]
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if loc_table:
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loc_table += page.extract_table()[1:]
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else:
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loc_table = page.extract_table()
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if "HONORAIRES" in page.extract_text():
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df_charge = extract_charge(page.extract_table(charge_table_settings))
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df_charge.to_excel(charge_dest, sheet_name="Charges", index=False)
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print(f"{charge_dest} saved")
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df_loc = extract_situation_loc(loc_table)
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df_loc = df_loc.assign(mois=mois, annee=annee)
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df_loc.to_excel(location_dest, sheet_name="Location", index=False)
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print(f"{location_dest} saved")
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def extract_save(pdf_file):
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pdf_file = Path(pdf_file)
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xls_charge = f"{pdf_file.stem.replace(' ', '_')}_charge.xlsx"
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xls_locataire = f"{pdf_file.stem.replace(' ', '_')}_locataire.xlsx"
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pdf = pdfplumber.open(pdf_file)
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extract_from_pdf(pdf, xls_charge, xls_locataire)
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@click.command()
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@click.option("--pdf_file", help="Nom du fichier pdf", default="")
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@click.option("--folder", help="Tous les fichiers dans folder", default="./")
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def pdf2xlsx(pdf_file, folder):
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if pdf_file:
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extract_save(pdf_file)
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else:
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p = Path(folder)
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pdf_files = [x for x in p.iterdir() if ".pdf" in str(x)]
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for pdf_file in pdf_files:
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extract_save(pdf_file)
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if __name__ == "__main__":
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pdf2xlsx()
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