Fix: remove index in excel outputs

.drone.yml

@@ -12,7 +12,7 @@ steps:
     image: python:3.11
     commands:
       - echo ${DRONE_TAG}
-      - sed -i "s/VERSION_PLACEHOLDER/${DRONE_TAG}/g" pyproject.toml
+      - sed -i 's/version = "[^"]*"/version = "${DRONE_TAG}"/g' pyproject.toml
       - curl -sSL https://install.python-poetry.org | python3 -
       - export PATH="/root/.local/bin:$PATH"
       - poetry --version
@@ -22,10 +22,18 @@ steps:
       PYPI_TOKEN:
         from_secret: pypi_token
 
-    when:
-      event:
-        include:
-          - tag
+  - name: Notify on matrix
+    image: plugins/matrix
+    environment:
+      MATRIX_ROOMID:
+        from_secret: MATRIX_ROOMID
+      MATRIX_ACCESSTOKEN:
+        from_secret: MATRIX_ACCESSTOKEN
+      MATRIX_USERID:
+        from_secret: MATRIX_USERID
+    settings:
+      homeserver: https://matrix.poneyworld.net
+      template: "Une nouvelle version (${DRONE_TAG}) de pdf-oralia est publiée!"
 
 # Déclencheur de la pipeline
 trigger:

pdf_oralia/extract.py

@@ -45,7 +45,7 @@ def from_pdf(pdf):
     charge_tables = []
     patrimoie_tables = []
 
-    for page in pdf.pages:
+    for page_number, page in enumerate(pdf.pages):
         page_text = page.extract_text()
         date = extract_date(page_text)
         additionnal_fields = {
@@ -76,7 +76,7 @@ def from_pdf(pdf):
             pass
 
         else:
-            raise ValueError("Page non reconnu")
+            logging.warning(f"Page {page_number+1} non reconnu. Page ignorée.")
 
     df_charge = charge.table2df(recapitulatif_tables + charge_tables)
     df_loc = locataire.table2df(loc_tables)

pdf_oralia/join.py

@@ -0,0 +1,22 @@
+import glob
+
+import pandas as pd
+
+
+def join_excel(src, dest, file_pattern):
+    """Join every excel file in arc respecting file_pattern into on unique file in dist"""
+    filenames = list_files(src, file_pattern)
+    dfs = extract_dfs(filenames)
+    joined_df = pd.concat(dfs)
+    joined_df.to_excel(dest, index=False)
+
+
+def list_files(src, file_glob):
+    return list(glob.iglob(f"{src}/{file_glob}"))
+
+
+def extract_dfs(filenames):
+    dfs = []
+    for filename in filenames:
+        dfs.append(pd.read_excel(filename))
+    return dfs

pdf_oralia/pages/charge.py

@@ -3,7 +3,21 @@ import re
 import numpy as np
 import pandas as pd
 
-RECAPITULATIF_DES_OPERATION = 1
+RECAPITULATIF_DES_OPERATIONS = 1
+DF_TYPES = {
+    "Fournisseur": str,
+    "RECAPITULATIF DES OPERATIONS": str,
+    "Débits": float,
+    "Crédits": float,
+    "Dont T.V.A.": float,
+    "Locatif": float,
+    "Déductible": float,
+    "immeuble": str,
+    "mois": str,
+    "annee": str,
+    "lot": str,
+}
+DEFAULT_FOURNISSEUR = "ROSIER MODICA MOTTEROZ SA"
 
 
 def is_it(page_text):
@@ -17,8 +31,11 @@ def is_it(page_text):
 
 def get_lot(txt):
     """Return lot number from "RECAPITULATIF DES OPERATIONS" """
-    regex = r"[BSM](\d+)\s-"
-    result = re.findall(regex, txt)
+    regex = r"[BSM](\d+)(?=\s*-)"
+    try:
+        result = re.findall(regex, txt)
+    except TypeError:
+        return "*"
     if result:
         return "{:02d}".format(int(result[0]))
     return "*"
@@ -27,14 +44,14 @@ def get_lot(txt):
 def keep_row(row):
     return not any(
         [
-            word.lower() in row[RECAPITULATIF_DES_OPERATION].lower()
+            word.lower() in row[RECAPITULATIF_DES_OPERATIONS].lower()
             for word in ["TOTAL", "TOTAUX", "Solde créditeur", "Solde débiteur"]
         ]
     )
 
 
 def extract(table, additionnal_fields: dict = {}):
-    """Turn table to dictionary with additionnal fields"""
+    """Turn table to dictionary with additional fields"""
     extracted = []
     header = table[0]
     for row in table[1:]:
@@ -49,10 +66,8 @@ def extract(table, additionnal_fields: dict = {}):
             for k, v in additionnal_fields.items():
                 r[k] = v
 
-            r["lot"] = get_lot(row[RECAPITULATIF_DES_OPERATION])
-
-            if "honoraire" in row[RECAPITULATIF_DES_OPERATION]:
-                r["Fournisseur"] = "IMI GERANCE"
+            if "honoraire" in row[RECAPITULATIF_DES_OPERATIONS].lower():
+                r["Fournisseur"] = DEFAULT_FOURNISSEUR
 
             extracted.append(r)
 
@@ -69,4 +84,8 @@ def table2df(tables):
         )
         df["Fournisseur"] = df["Fournisseur"].fillna(method="ffill")
         dfs.append(df)
-    return pd.concat(dfs)
+    df = pd.concat(dfs)
+
+    df["immeuble"] = df["immeuble"].apply(lambda x: x[0].capitalize())
+    df["lot"] = df["RECAPITULATIF DES OPERATIONS"].apply(get_lot)
+    return df.astype(DF_TYPES)

pdf_oralia/pages/locataire.py

@@ -1,5 +1,23 @@
+import numpy as np
 import pandas as pd
 
+DF_TYPES = {
+    "Locataires": str,
+    "Période": str,
+    "Loyers": float,
+    "Taxes": float,
+    "Provisions": float,
+    "Divers": str,
+    "Total": float,
+    "Réglés": float,
+    "Impayés": float,
+    "immeuble": str,
+    "mois": str,
+    "annee": str,
+    "Lot": str,
+    "Type": str,
+}
+
 
 def is_it(page_text):
     if "SITUATION DES LOCATAIRES" in page_text:
@@ -16,7 +34,7 @@ def is_drop(row):
 
 
 def extract(table, additionnal_fields: dict = {}):
-    """Turn table to dictionary with additionnal fields"""
+    """Turn table to dictionary with additional fields"""
     extracted = []
     header = table[0]
     for row in table[1:]:
@@ -67,6 +85,12 @@ def parse_lot(string):
     return {"Lot": "{:02d}".format(int(words[1])), "Type": " ".join(words[2:])}
 
 
+def clean_type(string):
+    if "appartement" in string.lower():
+        return string[-2:]
+    return string
+
+
 def join_row(table):
     joined = []
     for row in table:
@@ -115,8 +139,6 @@ def join_row(table):
                     }
                 )
                 joined.append(row)
-            else:
-                print(row)
 
     return joined
 
@@ -131,4 +153,14 @@ def flat_tables(tables):
 def table2df(tables):
     tables = flat_tables(tables)
     joined = join_row(tables)
-    return pd.DataFrame.from_records(joined)
+    df = pd.DataFrame.from_records(joined)
+
+    df["immeuble"] = df["immeuble"].apply(lambda x: x[0].capitalize())
+    df["Type"] = df["Type"].apply(clean_type)
+
+    numeric_cols = [k for k, v in DF_TYPES.items() if v == float]
+    df[numeric_cols] = df[numeric_cols].replace("", np.nan)
+
+    df = df.drop(df[(df["Locataires"] == "") & (df["Période"] == "")].index)
+
+    return df.astype(DF_TYPES)

pdf_oralia/scripts.py

@@ -3,7 +3,6 @@ from logging.config import dictConfig
 from pathlib import Path
 
 import click
-import pandas as pd
 
 from .extract import extract_save
 from .join import join_excel
@@ -66,5 +65,29 @@ def all(src, dest):
 @main.command()
 @click.option("--src", help="Tous les fichiers dans src", default="./")
 @click.option("--dest", help="Où mettre les fichiers produits", default="")
-def join(src, dest):
-    join_excel(src, dest, df_names=["charge", "locataire"])
+@click.option(
+    "--force",
+    help="Ecraser si le ficher destination existe.",
+    default=False,
+    is_flag=True,
+)
+def join(src, dest, force):
+    """Join tous les fichiers excel charge (resp locataire) de src dans un seul fichier charge.xlsx dans dist.
+
+    Exemple:
+
+        pdf-oralia join --src <dossier_source> --dest <dossier_destination>
+
+
+    """
+    dest_charge = f"{dest}/charge.xlsx"
+    if not force and Path(dest_charge).exists():
+        raise ValueError(f"The file {dest_charge} already exists")
+    dest_locataire = f"{dest}/locataire.xlsx"
+    if not force and Path(dest_locataire).exists():
+        raise ValueError(f"The file {dest_locataire} already exists")
+
+    join_excel(src, dest_charge, "*_charge.xlsx")
+    logging.info(f"Les données charges ont été concaténées dans {dest_charge}")
+    join_excel(src, dest_locataire, "*_locataire.xlsx")
+    logging.info(f"Les données locataires ont été concaténées dans {dest_locataire}")

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "pdf-oralia"
-version = "VERSION_PLACEHOLDER"
+version = "0"
 description = ""
 authors = ["Bertrand Benjamin <benjamin.bertrand@opytex.org>"]
 readme = "README.md"