Feat: change name of package

pdf_oralia/scripts.py

@@ -0,0 +1,116 @@
+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()

pyproject.toml

@@ -1,10 +1,13 @@
 [tool.poetry]
-name = "pdf-auralia"
+name = "pdf-oralia"
 version = "0.1.0"
 description = ""
 authors = ["Bertrand Benjamin <benjamin.bertrand@opytex.org>"]
 readme = "README.md"
-packages = [{include = "pdf_auralia"}]
+packages = [{include = "pdf_oralia"}]
+
+[tool.poetry.script]
+pdf-oralia = "pdf_oralia.scripts:main"
 
 [tool.poetry.dependencies]
 python = "^3.10"