pdf_auralia/pdf_oralia/extract.py

49 lines
1.6 KiB
Python

from pathlib import Path
import pdfplumber
from .extract_charge import extract_charge
from .extract_locataire import extract_situation_loc
charge_table_settings = {
"vertical_strategy": "lines",
"horizontal_strategy": "text",
}
def extract_from_pdf(pdf, charge_dest, location_dest):
"""Build charge_dest and location_dest xlsx file from pdf"""
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, dest):
"""Extract charge and locataire for pdf_file and put xlsx file in dest"""
pdf_file = Path(pdf_file)
xls_charge = dest / f"{pdf_file.stem.replace(' ', '_')}_charge.xlsx"
xls_locataire = dest / f"{pdf_file.stem.replace(' ', '_')}_locataire.xlsx"
pdf = pdfplumber.open(pdf_file)
extract_from_pdf(pdf, xls_charge, xls_locataire)