pdf_auralia/pdf_oralia/extract.py

from pathlib import Path

import click
import numpy as np
import pandas as pd
import pdfplumber


def extract_situation_loc(table):
    try:
        df = pd.DataFrame(table[1:], columns=table[0])
    except IndexError:
        print(table)
    rows = []
    for i, row in df[df["Locataires"] == "Totaux"].iterrows():
        above_row_loc = df.iloc[i - 1]["Locataires"]
        up_row = pd.concat(
            [
                row,
                parse_above_loc(above_row_loc),
            ]
        )

        rows.append(up_row)
    df_cleaned = pd.concat(rows, axis=1).T
    df_cleaned.drop(["Locataires", "", "Période"], axis=1, inplace=True)
    return df_cleaned


def parse_above_loc(content):
    row = {}
    try:
        app, loc = content.split("\n")
    except ValueError:
        row["lot"] = ""
        row["type"] = ""
        row["locataire"] = content

    else:
        app_ = app.split(" ")
        row["lot"] = app_[1]
        row["type"] = " ".join(app_[2:])
        row["locataire"] = loc
    return pd.Series(row)


def extract_charge(table):
    df = (
        pd.DataFrame(table[1:], columns=table[0])
        .replace("", np.nan)
        .dropna(subset=["Débits"])
    )
    drop_index = df[
        df["RECAPITULATIF DES OPERATIONS"].str.contains("TOTAUX", case=False)
        or df["RECAPITULATIF DES OPERATIONS"].str.contains("solde", case=False)
    ].index
    df.drop(drop_index, inplace=True)
    return df


charge_table_settings = {
    "vertical_strategy": "lines",
    "horizontal_strategy": "text",
}


def extract_from_pdf(pdf, charge_dest, location_dest):
    loc_table = []
    for page in pdf.pages:
        situation_loc_line = [
            l
            for l in page.extract_text().split("\n")
            if "SITUATION DES LOCATAIRES" in l
        ]
        if situation_loc_line:
            mois, annee = situation_loc_line[0].split(" ")[-2:]
            if loc_table:
                loc_table += page.extract_table()[1:]
            else:
                loc_table = page.extract_table()

        if "HONORAIRES" in page.extract_text():
            df_charge = extract_charge(page.extract_table(charge_table_settings))
            df_charge.to_excel(charge_dest, sheet_name="Charges", index=False)
            print(f"{charge_dest} saved")

    df_loc = extract_situation_loc(loc_table)
    df_loc = df_loc.assign(mois=mois, annee=annee)
    df_loc.to_excel(location_dest, sheet_name="Location", index=False)
    print(f"{location_dest} saved")


def extract_save(pdf_file):
    pdf_file = Path(pdf_file)
    xls_charge = f"{pdf_file.stem.replace(' ', '_')}_charge.xlsx"
    xls_locataire = f"{pdf_file.stem.replace(' ', '_')}_locataire.xlsx"

    pdf = pdfplumber.open(pdf_file)
    extract_from_pdf(pdf, xls_charge, xls_locataire)


@click.command()
@click.option("--pdf_file", help="Nom du fichier pdf", default="")
@click.option("--folder", help="Tous les fichiers dans folder", default="./")
def pdf2xlsx(pdf_file, folder):
    if pdf_file:
        extract_save(pdf_file)
    else:
        p = Path(folder)
        pdf_files = [x for x in p.iterdir() if ".pdf" in str(x)]
        for pdf_file in pdf_files:
            extract_save(pdf_file)


if __name__ == "__main__":
    pdf2xlsx()