85 lines
2.0 KiB
Python
85 lines
2.0 KiB
Python
import logging
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from logging.config import dictConfig
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from pathlib import Path
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import click
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import pandas as pd
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from .extract import extract_save
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logging_config = dict(
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version=1,
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formatters={"f": {"format": "%(levelname)-8s %(name)-12s %(message)s"}},
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handlers={
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"h": {
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"class": "logging.StreamHandler",
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"formatter": "f",
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"level": logging.DEBUG,
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}
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},
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root={
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"handlers": ["h"],
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"level": logging.DEBUG,
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},
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)
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dictConfig(logging_config)
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@click.group()
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def main():
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pass
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@main.group()
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def extract():
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pass
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@extract.command()
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@click.argument("pdf_file", required=1)
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@click.option("--dest", help="Où mettre les fichiers produits", default="")
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def on(pdf_file, dest):
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if not dest:
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pdf_path = Path(pdf_file)
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dest = pdf_path.parent
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extract_save(pdf_file, dest)
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@extract.command()
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@click.option("--src", help="Tous les fichiers dans folder", default="./")
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@click.option("--dest", help="Où mettre les fichiers produits", default="./")
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def all(src, dest):
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p = Path(src)
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d = Path(dest)
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d.mkdir(exist_ok=True)
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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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logging.info(f"Found {pdf_file}")
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extract_save(pdf_file, d)
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@main.command()
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@click.option("--src", help="Tous les fichiers dans src", default="./")
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@click.option("--dest", help="Où mettre les fichiers produits", default="")
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def join(src, dest):
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p = Path(src)
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dfs = {
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"charge": [],
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"locataire": [],
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}
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for file in p.glob("*.xlsx"):
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year, month, immeuble, table = file.stem.split("_")
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df = pd.read_excel(file, dtype={"lot": str}).assign(
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annee=year, mois=month, immeuble=immeuble[:3]
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)
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dfs[table].append(df)
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for tablename, datas in dfs.items():
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df = pd.concat(datas)
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destination = Path(dest) / f"{tablename}.xlsx"
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df.to_excel(destination, index=False)
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logging.info(f"{destination} written")
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