pdf_auralia/Extract pdf.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e24ca74b",
   "metadata": {},
   "source": [
    "# Extraction des informations pour Oralia"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1ac85f0c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import pdfplumber\n",
    "from pathlib import Path\n",
    "from pydantic import BaseModel, field_validator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6b246985",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pdf_oralia.extract import extract_table_settings, extract_date, extract_building\n",
    "from pdf_oralia.pages import locataire, charge, patrimoine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b80265f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "pdf_file = Path(\"./datas/pdfs/2023/2023 03 Servient.pdf\")\n",
    "# pdf_file = Path(\"/home/lafrite/Nextcloud/PLESNA Compta SYSTEM/Histoire/CRG/2024/PDF Oralia/2024 10 Servient.pdf\")  \n",
    "pdf = pdfplumber.open(pdf_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a62448d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "xls_charge = f\"{pdf_file.stem.replace(' ', '_')}_charge.xlsx\"\n",
    "xls_locataire = f\"{pdf_file.stem.replace(' ', '_')}_locataire.xlsx\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f503cf5",
   "metadata": {},
   "source": [
    "## Page 1: Récapitulatif"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ae9eb950",
   "metadata": {},
   "outputs": [],
   "source": [
    "p1 = pdf.pages[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "32ef66d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"SITUATION DES LOCATAIRES\" in p1.extract_text()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "07388312-28e2-43a3-ae42-2c9d06ca0034",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<pdfplumber.display.PageImage at 0x766e09b812b0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p1.to_image()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5f71b2cf-ef5f-48a3-97b3-a258c068954c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<pdfplumber.display.PageImage at 0x766e09b7a210>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "table_settings = {\n",
    "    \"vertical_strategy\": \"text\",\n",
    "    \"horizontal_strategy\": \"text\",\n",
    "}\n",
    "page = 2\n",
    "p = pdf.pages[page]\n",
    "img = p.to_image()\n",
    "img.debug_tablefinder(table_settings)\n",
    "#img.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "50dd9c09",
   "metadata": {},
   "source": [
    "##  Situation des locataires"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d4724a2a-9097-4a96-ab72-b28235477985",
   "metadata": {},
   "outputs": [],
   "source": [
    "class LocataireLine(BaseModel):\n",
    "    mois: int\n",
    "    annee: int\n",
    "    immeuble: str\n",
    "    Lot: str\n",
    "    Type: str\n",
    "    Locataire: str\n",
    "    Loyers: float\n",
    "    Taxes: float\n",
    "    Provisions: float\n",
    "    Divers: float\n",
    "    Total: float\n",
    "    Réglés: float\n",
    "    Impayés: float\n",
    "    \n",
    "    @field_validator('Loyers', 'Taxes', 'Provisions', 'Divers', 'Total', 'Réglés', 'Impayés', mode='before')\n",
    "    def set_default_if_empty(cls, v):\n",
    "        if v == '':\n",
    "            return 0\n",
    "        return v\n",
    "\n",
    "class ChargeLine(BaseModel):\n",
    "    mois: int\n",
    "    annee: int\n",
    "    immeuble: str\n",
    "    lot: str\n",
    "    Champs: str\n",
    "    Categorie: str\n",
    "    Fournisseur: str\n",
    "    Libellé: str\n",
    "    Débit: float\n",
    "    Crédits: float\n",
    "    Dont_TVA: float\n",
    "    Locatif: float\n",
    "    Déductible: float\n",
    "\n",
    "    @field_validator('Débit', 'Crédits', 'Dont_TVA', 'Locatif', 'Déductible', mode='before')\n",
    "    def set_default_if_empty(cls, v):\n",
    "        if v == '':\n",
    "            return 0\n",
    "        return v\n",
    "        \n",
    "class PatrimoineLine(BaseModel):\n",
    "    mois: int\n",
    "    annee: int\n",
    "    immeuble: str\n",
    "    Etage: str\n",
    "    Lot: str\n",
    "    Type: str\n",
    "    Locataire: str\n",
    "    Loyer_annuel: int\n",
    "    Debut_bail: str\n",
    "    Fin_bail: str\n",
    "    Entree: str\n",
    "    Depart: str\n",
    "    Revision_bail: str\n",
    "    Usage: str\n",
    "    Depot_garantie: float\n",
    "    \n",
    "    @field_validator('Loyer_annuel', 'Depot_garantie', mode='before')\n",
    "    def set_default_if_empty(cls, v):\n",
    "        if v == '':\n",
    "            return 0\n",
    "        return v"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "id": "f2e22a94",
   "metadata": {},
   "outputs": [],
   "source": [
    "def pdf_extract_tables_lines(pdf):\n",
    "    loc_sink = fsm_locataire()\n",
    "    next(loc_sink)    \n",
    "    charge_sink = fsm_charge()\n",
    "    next(charge_sink)\n",
    "    patrimoine_sink = fsm_patrimoine()\n",
    "    next(patrimoine_sink)\n",
    "\n",
    "    for page in pdf.pages:\n",
    "        page_text = page.extract_text()\n",
    "        date = extract_date(page_text)\n",
    "        additionnal_fields = {\n",
    "            \"immeuble\": extract_building(page_text),\n",
    "            \"mois\": date.strftime(\"%m\"),\n",
    "            \"annee\": date.strftime(\"%Y\"),\n",
    "        }\n",
    "\n",
    "        for line in page.extract_table(extract_table_settings):\n",
    "            if locataire.is_it(page_text):\n",
    "                res = loc_sink.send(line)\n",
    "                if res:\n",
    "                    res.update(additionnal_fields)\n",
    "                    yield LocataireLine(**res)\n",
    "            elif charge.is_it(page_text):\n",
    "                res = charge_sink.send(line)\n",
    "                if res:\n",
    "                    res.update(additionnal_fields)\n",
    "                    yield ChargeLine(**res)\n",
    "                    \n",
    "            elif patrimoine.is_it(page_text):\n",
    "                res = patrimoine_sink.send(line)\n",
    "                if res:\n",
    "                    res.update(additionnal_fields)\n",
    "                    yield PatrimoineLine(**res)\n",
    "            else:\n",
    "                print(\"Unknown page\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "id": "93fbe76d-846e-4adb-a2c0-b858fa9defbd",
   "metadata": {},
   "outputs": [],
   "source": [
    "HEADER_LOC = ['Locataires', 'Période', 'Loyers', 'Taxes', 'Provisions', 'Divers', '', 'Total', 'Réglés', 'Impayés']\n",
    "\n",
    "def fsm_locataire():\n",
    "    current_state = \"new_row\"\n",
    "    row = {}\n",
    "    line = yield\n",
    "    while True:\n",
    "        if line == HEADER_LOC:\n",
    "            line = yield\n",
    "        elif current_state == \"new_row\":\n",
    "            if line[0] != \"\" and line[0] != \"TOTAUX\":\n",
    "                row.update(locataire.parse_lot(line[0]))\n",
    "                current_state = \"add_loc\"\n",
    "            line = yield\n",
    "        elif current_state == \"add_loc\":\n",
    "            if line[0] != \"\":\n",
    "                row[\"Locataire\"] = line[0]\n",
    "                current_state = \"add_totaux\"\n",
    "            line = yield\n",
    "        elif current_state == \"add_totaux\":\n",
    "            if line[0] == \"Totaux\":\n",
    "                row.update({\n",
    "                    \"Loyers\": line[2],\n",
    "                    \"Taxes\": line[3],\n",
    "                    \"Provisions\": line[4],\n",
    "                    \"Divers\": line[5],\n",
    "                    \"Total\": line[7],\n",
    "                    \"Réglés\": line[8],\n",
    "                    \"Impayés\": line[9],\n",
    "                })\n",
    "                line = yield row\n",
    "                row = {}\n",
    "                current_state = \"new_row\"\n",
    "            else:\n",
    "                line = yield\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "id": "a339c6c2-5195-4775-912a-a4a3129cab42",
   "metadata": {},
   "outputs": [],
   "source": [
    "HEADER_CHARGE = ['', 'RECAPITULATIF DES OPERATIONS', 'Débits', 'Crédits', 'Dont T.V.A.', 'Locatif', 'Déductible']\n",
    "\n",
    "def fsm_charge():\n",
    "    current_state = \"total\"\n",
    "    row = {}\n",
    "    line = yield\n",
    "    while True:\n",
    "        if line == HEADER_CHARGE:\n",
    "            line = yield\n",
    "        if current_state == \"total\":\n",
    "            if line[1].lower().split(\" \")[0] in ['total', 'totaux']:\n",
    "                current_state = \"new_champs\"\n",
    "            line = yield\n",
    "        elif current_state == \"new_champs\":\n",
    "            if line[0] != \"\":\n",
    "                current_state = \"new_cat\"\n",
    "                row.update({\"Champs\": line[0]})\n",
    "                categorie = line[1]\n",
    "            line = yield\n",
    "        elif current_state == \"new_cat\": \n",
    "            if line[1] != \"\":\n",
    "                current_state = \"new_line\"\n",
    "                row.update({\"Categorie\": line[1]})\n",
    "            elif line[0] != \"\":\n",
    "                current_state = \"new_line\"\n",
    "                row.update({\"Categorie\": line[0]})\n",
    "            line = yield\n",
    "        elif current_state == \"new_line\":\n",
    "            if line[1].lower().split(\" \")[0] in ['total', 'totaux']:\n",
    "                current_state = \"new_champs\"\n",
    "                line = yield\n",
    "            elif line[2] != \"\" or line[3] != \"\":\n",
    "                row.update({\n",
    "                    \"Fournisseur\": line[0] if line[0]!='' else row[\"Fournisseur\"],\n",
    "                    \"Libellé\": line[1],\n",
    "                    \"lot\": charge.get_lot(line[1]),\n",
    "                    \"Débit\": line[2],\n",
    "                    \"Crédits\": line[3],\n",
    "                    \"Dont_TVA\": line[4],\n",
    "                    \"Locatif\": line[5],\n",
    "                    \"Déductible\": line[6] \n",
    "                })\n",
    "                line = yield row\n",
    "            elif line[0] != \"\":\n",
    "                row.update({\"Fournisseur\": line[0]})\n",
    "                line = yield\n",
    "            else:\n",
    "                line = yield"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "id": "e2039c34-7998-42eb-9eab-2f51c3e4ee2c",
   "metadata": {},
   "outputs": [],
   "source": [
    "HEADER_PATRIMOINE = ['Etage', 'Lots', 'Type de lot', 'Nom du Locataire', 'Loyer Annuel', 'Début Bail', 'Fin Bail', 'Entrée', 'Départ', 'Révisé le', 'U', 'Dépôt Gar.']\n",
    "\n",
    "def fsm_patrimoine():\n",
    "    current_state = \"new_line\"\n",
    "    row = {}\n",
    "    line = yield\n",
    "    while True:\n",
    "        if line == HEADER_PATRIMOINE:\n",
    "            line = yield\n",
    "        if current_state == \"new_line\":\n",
    "            if line[0]!='':\n",
    "                row = {\n",
    "                    \"Etage\": line[0],\n",
    "                    \"Lot\": line[1][-2:],\n",
    "                    \"Type\": line[2],\n",
    "                    \"Locataire\": line[3],\n",
    "                    \"Loyer_annuel\": line[4].replace(\" \", \"\"),\n",
    "                    \"Debut_bail\": line[5],\n",
    "                    \"Fin_bail\": line[6],\n",
    "                    \"Entree\": line[7],\n",
    "                    \"Depart\": line[8],\n",
    "                    \"Revision_bail\": line[9],\n",
    "                    \"Usage\": line[10],\n",
    "                    \"Depot_garantie\": line[11].replace(\" \", \"\")\n",
    "                }\n",
    "                line = yield row\n",
    "            else:\n",
    "                line = yield"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "id": "dad54ca3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Unknown page\n",
      "Unknown page\n",
      "Unknown page\n",
      "Unknown page\n",
      "Unknown page\n",
      "Unknown page\n",
      "Unknown page\n",
      "Unknown page\n",
      "Unknown page\n",
      "Unknown page\n",
      "mois=7 annee=2023 immeuble='bloch' Lot='01' Type='Appartement T3' Locataire='PASQUIER BENJAMIN' Loyers=990.0 Taxes=0.0 Provisions=47.0 Divers=0.0 Total=1037.0 Réglés=518.5 Impayés=518.5\n",
      "mois=7 annee=2023 immeuble='bloch' Lot='02' Type='Appartement T1' Locataire='LEMOINE YANNICK' Loyers=470.64 Taxes=0.0 Provisions=27.0 Divers=0.0 Total=497.64 Réglés=497.64 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='bloch' Lot='03' Type='Appartement T1' Locataire='RIBOLZI MAIA' Loyers=584.74 Taxes=0.0 Provisions=27.0 Divers=0.0 Total=691.37 Réglés=592.0 Impayés=99.37\n",
      "mois=7 annee=2023 immeuble='bloch' Lot='04' Type='Appartement T1' Locataire='SAHINOVIC MIROSLAV' Loyers=643.73 Taxes=0.0 Provisions=28.0 Divers=0.0 Total=671.73 Réglés=671.73 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='bloch' Lot='05' Type='Appartement T2' Locataire='RIGAUDIE AUGUSTE' Loyers=923.92 Taxes=0.0 Provisions=103.0 Divers=0.0 Total=1026.92 Réglés=1026.92 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='bloch' Lot='06' Type='Appartement T1' Locataire='DAHMANI DORIAN' Loyers=620.0 Taxes=0.0 Provisions=28.0 Divers=0.0 Total=648.0 Réglés=648.0 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='bloch' Lot='07' Type='Appartement T1' Locataire='LOPEZ MELODIE MARIE' Loyers=590.0 Taxes=0.0 Provisions=22.0 Divers=0.0 Total=612.0 Réglés=612.0 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='bloch' Lot='08' Type='Appartement T1' Locataire='NEVERRE Léa' Loyers=585.34 Taxes=0.0 Provisions=26.0 Divers=0.0 Total=611.34 Réglés=611.34 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='bloch' Lot='09' Type='Appartement T2' Locataire='NOURY Awatif' Loyers=756.86 Taxes=0.0 Provisions=35.0 Divers=0.0 Total=2060.77 Réglés=800.0 Impayés=1260.77\n",
      "mois=7 annee=2023 immeuble='bloch' Lot='10' Type='Appartement T1' Locataire='MERLE Clement' Loyers=552.46 Taxes=0.0 Provisions=33.0 Divers=0.0 Total=585.46 Réglés=585.46 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='bloch' Lot='11' Type='Appartement T1' Locataire='PICARD JONATHAN' Loyers=415.25 Taxes=0.0 Provisions=22.0 Divers=0.0 Total=437.25 Réglés=437.25 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='bloch' Lot='12' Type='Appartement T1' Locataire='BILLET Annick' Loyers=422.72 Taxes=0.0 Provisions=28.0 Divers=0.0 Total=450.72 Réglés=450.72 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='bloch' Lot='13' Type='Appartement T2' Locataire='LIGOUT Alessandra' Loyers=733.0 Taxes=0.0 Provisions=42.0 Divers=0.0 Total=802.0 Réglés=775.0 Impayés=27.0\n",
      "mois=7 annee=2023 immeuble='bloch' Lot='14' Type='Appartement T3' Locataire='NGUYEN Huyen Chi' Loyers=690.49 Taxes=0.0 Provisions=46.0 Divers=0.0 Total=739.49 Réglés=733.49 Impayés=6.0\n",
      "mois=7 annee=2023 immeuble='bloch' Lot='15' Type='Appartement T1' Locataire='ALVES SOBRINHO Xavier' Loyers=541.6 Taxes=0.0 Provisions=29.0 Divers=0.0 Total=570.6 Réglés=570.6 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='bloch' Lot='16' Type='Appartement T2' Locataire='MOROUX - LE GUYADER' Loyers=233.35 Taxes=0.0 Provisions=15.17 Divers=0.0 Total=248.52 Réglés=248.52 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='bloch' Lot='17' Type='Appartement T3' Locataire='LE PEZENNEC Marin' Loyers=1034.99 Taxes=0.0 Provisions=53.0 Divers=0.0 Total=1087.99 Réglés=1087.99 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='bloch' Lot='18' Type='Appartement T1' Locataire='MAUREL HELOISE' Loyers=550.0 Taxes=0.0 Provisions=20.0 Divers=0.0 Total=570.0 Réglés=570.0 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='bloch' Lot='18' Type='Appartement T1' Locataire='AUVITY Edouard' Loyers=0.0 Taxes=0.0 Provisions=104.0 Divers=63.29 Total=167.29 Réglés=167.29 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='bloch' Lot='19' Type='Appartement T1' Locataire='AUVITY Clémence' Loyers=553.39 Taxes=0.0 Provisions=20.0 Divers=0.0 Total=573.39 Réglés=573.39 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='bloch' Lot='20' Type='Studio' Locataire='BOUAZZA JENNA FAYSA' Loyers=409.92 Taxes=0.0 Provisions=15.0 Divers=0.0 Total=424.92 Réglés=424.92 Impayés=0.0\n",
      "Unknown page\n",
      "mois=7 annee=2023 immeuble='bloch' lot='*' Champs='DEPENSES LOCATIVES' Categorie='Contrat entreprise nettoyage' Fournisseur='POEZEVARA NETTOYAGE' Libellé='Juin 2023' Débit=530.46 Crédits=0.0 Dont_TVA=88.41 Locatif=530.46 Déductible=0.0\n",
      "mois=7 annee=2023 immeuble='bloch' lot='*' Champs='DEPENSES LOCATIVES' Categorie='Contrat entreprise nettoyage' Fournisseur='POEZEVARA NETTOYAGE' Libellé='' Débit=71.1 Crédits=0.0 Dont_TVA=11.85 Locatif=71.1 Déductible=0.0\n",
      "mois=7 annee=2023 immeuble='bloch' lot='16' Champs='DEPENSES NON RECUPERABLES /LOT' Categorie=\"Frais d'expert\" Fournisseur='OPERA GROUPE' Libellé='B16 - Diagnostic CARREZ + CREP + DPE +' Débit=288.0 Crédits=0.0 Dont_TVA=48.0 Locatif=0.0 Déductible=288.0\n",
      "mois=7 annee=2023 immeuble='bloch' lot='20' Champs='DEPENSES NON RECUPERABLES /LOT' Categorie=\"Frais d'expert\" Fournisseur='PPR' Libellé=\"B20 - Réfection fuite d'eau au niveau\" Débit=192.5 Crédits=0.0 Dont_TVA=17.5 Locatif=0.0 Déductible=192.5\n",
      "mois=7 annee=2023 immeuble='bloch' lot='*' Champs='HONORAIRES DE GESTION' Categorie='Honoraires H.T.' Fournisseur='PPR' Libellé='TVA/Honoraires ( 20.00 % )' Débit=126.03 Crédits=0.0 Dont_TVA=126.03 Locatif=0.0 Déductible=126.03\n",
      "mois=7 annee=2023 immeuble='bloch' Etage='RC' Lot='01' Type='Appartement T3' Locataire='PASQUIER BENJAMIN' Loyer_annuel=11880 Debut_bail='06/08/2022' Fin_bail='05/08/2025' Entree='06/08/2022' Depart='' Revision_bail='06/08/2022' Usage='H' Depot_garantie=990.0\n",
      "mois=7 annee=2023 immeuble='bloch' Etage='RC' Lot='02' Type='Appartement T1' Locataire='LEMOINE YANNICK' Loyer_annuel=5845 Debut_bail='05/07/2012' Fin_bail='04/07/2015' Entree='05/07/2012' Depart='' Revision_bail='05/07/2023' Usage='H' Depot_garantie=430.0\n",
      "mois=7 annee=2023 immeuble='bloch' Etage='RC' Lot='03' Type='Appartement T1' Locataire='RIBOLZI MAIA' Loyer_annuel=7016 Debut_bail='15/02/2022' Fin_bail='14/02/2025' Entree='15/02/2022' Depart='' Revision_bail='15/02/2023' Usage='H' Depot_garantie=565.0\n",
      "mois=7 annee=2023 immeuble='bloch' Etage='01' Lot='04' Type='Appartement T1' Locataire='SAHINOVIC MIROSLAV' Loyer_annuel=7724 Debut_bail='03/04/2022' Fin_bail='02/04/2025' Entree='03/04/2022' Depart='' Revision_bail='03/04/2023' Usage='H' Depot_garantie=622.0\n",
      "mois=7 annee=2023 immeuble='bloch' Etage='01' Lot='05' Type='Appartement T2' Locataire='RIGAUDIE AUGUSTE' Loyer_annuel=3695 Debut_bail='30/06/1978' Fin_bail='29/06/1979' Entree='30/06/1978' Depart='' Revision_bail='30/06/1989' Usage='H' Depot_garantie=0.0\n",
      "mois=7 annee=2023 immeuble='bloch' Etage='01' Lot='06' Type='Appartement T1' Locataire='DAHMANI DORIAN JULIAN' Loyer_annuel=7440 Debut_bail='27/06/2022' Fin_bail='26/06/2025' Entree='27/06/2022' Depart='' Revision_bail='27/06/2023' Usage='H' Depot_garantie=620.0\n",
      "mois=7 annee=2023 immeuble='bloch' Etage='01' Lot='07' Type='Appartement T1' Locataire='LOPEZ MELODIE MARIE CANDY' Loyer_annuel=7327 Debut_bail='14/07/2022' Fin_bail='13/07/2025' Entree='14/07/2022' Depart='' Revision_bail='14/07/2023' Usage='H' Depot_garantie=590.0\n",
      "mois=7 annee=2023 immeuble='bloch' Etage='02' Lot='08' Type='Appartement T1' Locataire='NEVERRE Léa' Loyer_annuel=7024 Debut_bail='19/12/2021' Fin_bail='18/12/2024' Entree='19/12/2021' Depart='' Revision_bail='19/12/2022' Usage='H' Depot_garantie=565.0\n",
      "mois=7 annee=2023 immeuble='bloch' Etage='02' Lot='09' Type='Appartement T2' Locataire='NOURY Awatif' Loyer_annuel=9082 Debut_bail='01/02/2009' Fin_bail='31/01/2012' Entree='01/02/2009' Depart='' Revision_bail='01/02/2023' Usage='H' Depot_garantie=650.0\n",
      "mois=7 annee=2023 immeuble='bloch' Etage='02' Lot='10' Type='Appartement T1' Locataire='MERLE Clement' Loyer_annuel=6629 Debut_bail='10/01/2020' Fin_bail='09/01/2023' Entree='10/01/2020' Depart='' Revision_bail='10/01/2023' Usage='H' Depot_garantie=527.0\n",
      "mois=7 annee=2023 immeuble='bloch' Etage='02' Lot='11' Type='Appartement T1' Locataire='PICARD JONATHAN' Loyer_annuel=4982 Debut_bail='12/03/2016' Fin_bail='11/03/2019' Entree='12/03/2016' Depart='' Revision_bail='12/03/2023' Usage='H' Depot_garantie=379.0\n",
      "mois=7 annee=2023 immeuble='bloch' Etage='03' Lot='12' Type='Appartement T1' Locataire='BILLET Annick' Loyer_annuel=5072 Debut_bail='01/06/1976' Fin_bail='31/05/1979' Entree='01/06/1976' Depart='' Revision_bail='01/06/1987' Usage='H' Depot_garantie=0.0\n",
      "mois=7 annee=2023 immeuble='bloch' Etage='03' Lot='13' Type='Appartement T2' Locataire='LIGOUT Alessandra' Loyer_annuel=9103 Debut_bail='21/07/2022' Fin_bail='20/07/2025' Entree='21/07/2022' Depart='' Revision_bail='21/07/2023' Usage='H' Depot_garantie=733.0\n",
      "mois=7 annee=2023 immeuble='bloch' Etage='03' Lot='14' Type='Appartement T3' Locataire='NGUYEN Huyen Chi' Loyer_annuel=8285 Debut_bail='02/12/2008' Fin_bail='01/12/2011' Entree='02/12/2008' Depart='' Revision_bail='02/12/2022' Usage='H' Depot_garantie=590.0\n",
      "mois=7 annee=2023 immeuble='bloch' Etage='04' Lot='15' Type='Appartement T1' Locataire='ALVES SOBRINHO Xavier' Loyer_annuel=6499 Debut_bail='08/04/2021' Fin_bail='07/04/2024' Entree='08/04/2021' Depart='' Revision_bail='08/04/2023' Usage='H' Depot_garantie=515.0\n",
      "mois=7 annee=2023 immeuble='bloch' Etage='04' Lot='16' Type='Appartement T2' Locataire='** VACANT **' Loyer_annuel=0 Debut_bail='' Fin_bail='' Entree='' Depart='' Revision_bail='' Usage='' Depot_garantie=0.0\n",
      "mois=7 annee=2023 immeuble='bloch' Etage='04' Lot='' Type='' Locataire='MOROUX - LE GUYADER CECILE CHR' Loyer_annuel=6462 Debut_bail='17/07/2020' Fin_bail='16/07/2023' Entree='17/07/2020' Depart='13/07/2023' Revision_bail='17/07/2023' Usage='H' Depot_garantie=525.0\n",
      "mois=7 annee=2023 immeuble='bloch' Etage='04' Lot='17' Type='Appartement T3' Locataire='LE PEZENNEC Marin' Loyer_annuel=12419 Debut_bail='22/04/2022' Fin_bail='21/04/2025' Entree='22/04/2022' Depart='' Revision_bail='22/04/2023' Usage='H' Depot_garantie=1000.0\n",
      "mois=7 annee=2023 immeuble='bloch' Etage='05' Lot='18' Type='Appartement T1' Locataire='MAUREL HELOISE' Loyer_annuel=6600 Debut_bail='03/06/2023' Fin_bail='02/06/2026' Entree='03/06/2023' Depart='' Revision_bail='03/06/2023' Usage='H' Depot_garantie=550.0\n",
      "mois=7 annee=2023 immeuble='bloch' Etage='05' Lot='19' Type='Appartement T1' Locataire='AUVITY Clémence' Loyer_annuel=6640 Debut_bail='20/08/2021' Fin_bail='19/08/2024' Entree='20/08/2021' Depart='' Revision_bail='20/08/2022' Usage='H' Depot_garantie=540.0\n",
      "mois=7 annee=2023 immeuble='bloch' Etage='05' Lot='20' Type='Studio' Locataire='BOUAZZA JENNA FAYSA' Loyer_annuel=5090 Debut_bail='05/07/2021' Fin_bail='04/07/2024' Entree='05/07/2021' Depart='' Revision_bail='05/07/2023' Usage='H' Depot_garantie=400.0\n",
      "Unknown page\n",
      "Unknown page\n",
      "Unknown page\n",
      "Unknown page\n",
      "Unknown page\n",
      "Unknown page\n",
      "Unknown page\n",
      "Unknown page\n",
      "Unknown page\n",
      "Unknown page\n",
      "mois=7 annee=2023 immeuble='marietton' Lot='10' Type='Appartement T3' Locataire='VESELINOV KALOYAN' Loyers=1024.59 Taxes=0.0 Provisions=58.0 Divers=0.0 Total=1082.59 Réglés=1082.59 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='marietton' Lot='08' Type='Appartement T3' Locataire='BORSCHNECK' Loyers=857.0 Taxes=0.0 Provisions=68.0 Divers=0.0 Total=925.0 Réglés=925.0 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='marietton' Lot='01' Type='Loc. Commercial' Locataire='ASSOCIES A2C' Loyers=940.73 Taxes=0.0 Provisions=127.0 Divers=0.0 Total=1067.73 Réglés=1067.73 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='marietton' Lot='02' Type='Loc. Commercial' Locataire='DETENTE YOLAINE' Loyers=897.12 Taxes=0.0 Provisions=40.0 Divers=0.0 Total=937.12 Réglés=0.0 Impayés=937.12\n",
      "mois=7 annee=2023 immeuble='marietton' Lot='03' Type='Studio' Locataire='VIGNARDET MALORIE' Loyers=15.07 Taxes=0.0 Provisions=89.5 Divers=34.71 Total=139.28 Réglés=139.28 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='marietton' Lot='12' Type='Appartement T3' Locataire='ECHARD Clara' Loyers=882.0 Taxes=0.0 Provisions=53.0 Divers=0.0 Total=935.0 Réglés=935.0 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='marietton' Lot='13' Type='Appartement T3' Locataire='INCERTI ALESSANDRA' Loyers=570.0 Taxes=0.0 Provisions=38.4 Divers=950.0 Total=1558.4 Réglés=1553.2 Impayés=5.2\n",
      "mois=7 annee=2023 immeuble='marietton' Lot='04' Type='Appartement T3' Locataire='DALBAN-MOREYNAS C' Loyers=805.45 Taxes=0.0 Provisions=63.0 Divers=0.0 Total=868.45 Réglés=868.45 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='marietton' Lot='05' Type='Appartement T3' Locataire='SERRE JULIE' Loyers=677.78 Taxes=0.0 Provisions=66.0 Divers=0.0 Total=743.78 Réglés=743.78 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='marietton' Lot='06' Type='Appartement T3' Locataire='MINARY ALAIN' Loyers=1137.39 Taxes=0.0 Provisions=47.0 Divers=0.0 Total=1184.39 Réglés=1184.39 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='marietton' Lot='07' Type='Appartement T3' Locataire='MENASRI ICHEME' Loyers=831.81 Taxes=0.0 Provisions=70.0 Divers=0.0 Total=901.81 Réglés=901.81 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='marietton' Lot='09' Type='Appartement T3' Locataire='FAURE CALIXTE' Loyers=961.46 Taxes=0.0 Provisions=70.0 Divers=0.0 Total=1031.46 Réglés=1031.46 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='marietton' Lot='11' Type='Appartement T3' Locataire='CHARLOT ANDREE' Loyers=745.41 Taxes=0.0 Provisions=69.0 Divers=0.0 Total=814.41 Réglés=814.41 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='marietton' lot='*' Champs='DEPENSES LOCATIVES' Categorie='Contrat entreprise nettoyage' Fournisseur=\"REMALI BRIL'OR\" Libellé='Juin 2023' Débit=381.96 Crédits=0.0 Dont_TVA=63.66 Locatif=381.96 Déductible=0.0\n",
      "mois=7 annee=2023 immeuble='marietton' lot='*' Champs='DEPENSES LOCATIVES' Categorie='Contrat entreprise nettoyage' Fournisseur='PICARD SERVICES' Libellé='Vérification, refixation et réglage des' Débit=148.5 Crédits=0.0 Dont_TVA=13.5 Locatif=148.5 Déductible=0.0\n",
      "mois=7 annee=2023 immeuble='marietton' lot='*' Champs='DEPENSES LOCATIVES' Categorie='Contrat entreprise nettoyage' Fournisseur='PICARD SERVICES' Libellé='Recherche panne sur installation contrôl' Débit=232.1 Crédits=0.0 Dont_TVA=21.1 Locatif=232.1 Déductible=0.0\n",
      "mois=7 annee=2023 immeuble='marietton' lot='06' Champs='DEPENSES RECUPERABLES PAR LOT' Categorie='Plaques' Fournisseur='PICARD SERVICES REGIES' Libellé='M06 - Mise à jour nom sur interphone' Débit=64.9 Crédits=0.0 Dont_TVA=5.9 Locatif=0.0 Déductible=0.0\n",
      "mois=7 annee=2023 immeuble='marietton' lot='08' Champs='DEPENSES RECUPERABLES PAR LOT' Categorie='Plaques' Fournisseur='PICARD SERVICES' Libellé='M08 - Mise à jour nom sur interphone' Débit=64.9 Crédits=0.0 Dont_TVA=5.9 Locatif=0.0 Déductible=0.0\n",
      "mois=7 annee=2023 immeuble='marietton' lot='08' Champs='DEPENSES RECUPERABLES PAR LOT' Categorie='Plaques' Fournisseur='RHONE ENERGIES' Libellé='M08 - Entretien chaudière gaz loc' Débit=154.0 Crédits=0.0 Dont_TVA=14.0 Locatif=0.0 Déductible=0.0\n",
      "mois=7 annee=2023 immeuble='marietton' lot='12' Champs='DEPENSES RECUPERABLES PAR LOT' Categorie='Plaques' Fournisseur='PICARD SERVICES' Libellé='M12 - Mise à jour interphone locataire' Débit=64.9 Crédits=0.0 Dont_TVA=5.9 Locatif=0.0 Déductible=0.0\n",
      "mois=7 annee=2023 immeuble='marietton' lot='03' Champs='DEPENSES NON RECUPERABLES /LOT' Categorie=\"Frais d'expert\" Fournisseur='OPERA GROUPE' Libellé='M03 - Diagnostics: CARREZ + AMIANTE +' Débit=288.0 Crédits=0.0 Dont_TVA=48.0 Locatif=0.0 Déductible=288.0\n",
      "mois=7 annee=2023 immeuble='marietton' lot='03' Champs='DEPENSES NON RECUPERABLES /LOT' Categorie=\"Frais d'expert\" Fournisseur='OPERA GROUPE' Libellé='M03 - Etat des lieux sortie locataire' Débit=121.2 Crédits=0.0 Dont_TVA=20.2 Locatif=0.0 Déductible=121.2\n",
      "mois=7 annee=2023 immeuble='marietton' lot='13' Champs='DEPENSES NON RECUPERABLES /LOT' Categorie=\"Frais d'expert\" Fournisseur='OPERA GROUPE' Libellé='M13 - Diagnostics: DPE + CARREZ + ERP' Débit=168.0 Crédits=0.0 Dont_TVA=28.0 Locatif=0.0 Déductible=168.0\n",
      "mois=7 annee=2023 immeuble='marietton' lot='13' Champs='DEPENSES NON RECUPERABLES /LOT' Categorie=\"Frais d'expert\" Fournisseur='OPERA GROUPE' Libellé='M13 - Etat des lieux sortie locataire' Débit=121.2 Crédits=0.0 Dont_TVA=20.2 Locatif=0.0 Déductible=121.2\n",
      "mois=7 annee=2023 immeuble='marietton' lot='*' Champs='HONORAIRES DE GESTION' Categorie='Hon. prest. mise en location' Fournisseur='ROSIER MODICA MOTTEROZ SA' Libellé='Hon. prest. mise en location' Débit=1039.4 Crédits=0.0 Dont_TVA=173.23 Locatif=0.0 Déductible=1039.4\n",
      "mois=7 annee=2023 immeuble='marietton' lot='*' Champs='HONORAIRES DE GESTION' Categorie='Hon. prest. mise en location' Fournisseur='ROSIER MODICA MOTTEROZ SA' Libellé='Prest. réalisation EDL entrée' Débit=93.0 Crédits=0.0 Dont_TVA=15.5 Locatif=0.0 Déductible=93.0\n",
      "mois=7 annee=2023 immeuble='marietton' lot='*' Champs='HONORAIRES DE GESTION' Categorie='Hon. prest. mise en location' Fournisseur='ROSIER MODICA MOTTEROZ SA' Libellé='Honoraires H.T.' Débit=562.36 Crédits=0.0 Dont_TVA=0.0 Locatif=0.0 Déductible=562.36\n",
      "mois=7 annee=2023 immeuble='marietton' lot='*' Champs='HONORAIRES DE GESTION' Categorie='Hon. prest. mise en location' Fournisseur='ROSIER MODICA MOTTEROZ SA' Libellé='TVA/Honoraires ( 20.00 % )' Débit=112.47 Crédits=0.0 Dont_TVA=112.47 Locatif=0.0 Déductible=112.47\n",
      "mois=7 annee=2023 immeuble='marietton' Etage='5' Lot='10' Type='Appartement T3' Locataire='VESELINOV KALOYAN' Loyer_annuel=12295 Debut_bail='04/01/2022' Fin_bail='03/01/2025' Entree='04/01/2022' Depart='' Revision_bail='04/01/2023' Usage='H' Depot_garantie=990.0\n",
      "mois=7 annee=2023 immeuble='marietton' Etage='4' Lot='08' Type='Appartement T3' Locataire='BORSCHNECK CLEMENCE' Loyer_annuel=10284 Debut_bail='14/04/2023' Fin_bail='13/04/2026' Entree='14/04/2023' Depart='' Revision_bail='14/04/2023' Usage='H' Depot_garantie=857.0\n",
      "mois=7 annee=2023 immeuble='marietton' Etage='RC' Lot='01' Type='Loc. Commercial' Locataire='ASSOCIES A2C' Loyer_annuel=11288 Debut_bail='04/04/2012' Fin_bail='03/04/2021' Entree='04/04/2012' Depart='' Revision_bail='04/04/2023' Usage='C' Depot_garantie=837.82\n",
      "mois=7 annee=2023 immeuble='marietton' Etage='RC' Lot='02' Type='Loc. Commercial' Locataire='DETENTE YOLAINE' Loyer_annuel=10765 Debut_bail='17/08/2017' Fin_bail='16/08/2023' Entree='17/08/2017' Depart='' Revision_bail='17/08/2022' Usage='C' Depot_garantie=1546.0\n",
      "mois=7 annee=2023 immeuble='marietton' Etage='RC' Lot='03' Type='Studio' Locataire='** VACANT **' Loyer_annuel=0 Debut_bail='' Fin_bail='' Entree='' Depart='' Revision_bail='' Usage='' Depot_garantie=0.0\n",
      "mois=7 annee=2023 immeuble='marietton' Etage='RC' Lot='' Type='' Locataire='VIGNARDET MALORIE' Loyer_annuel=5425 Debut_bail='25/06/2021' Fin_bail='24/06/2024' Entree='25/06/2021' Depart='01/07/2023' Revision_bail='25/06/2023' Usage='H' Depot_garantie=0.0\n",
      "mois=7 annee=2023 immeuble='marietton' Etage='01' Lot='12' Type='Appartement T3' Locataire='ECHARD Clara' Loyer_annuel=10584 Debut_bail='01/09/2021' Fin_bail='31/08/2024' Entree='01/09/2022' Depart='' Revision_bail='01/09/2022' Usage='H' Depot_garantie=882.0\n",
      "mois=7 annee=2023 immeuble='marietton' Etage='01' Lot='13' Type='Appartement T3' Locataire='INCERTI ALESSANDRA' Loyer_annuel=11400 Debut_bail='13/07/2023' Fin_bail='12/07/2026' Entree='13/07/2023' Depart='' Revision_bail='13/07/2023' Usage='H' Depot_garantie=950.0\n",
      "mois=7 annee=2023 immeuble='marietton' Etage='02' Lot='04' Type='Appartement T3' Locataire='DALBAN-MOREYNAS C' Loyer_annuel=9665 Debut_bail='27/09/2019' Fin_bail='26/09/2022' Entree='27/09/2007' Depart='' Revision_bail='27/09/2022' Usage='H' Depot_garantie=1360.0\n",
      "mois=7 annee=2023 immeuble='marietton' Etage='02' Lot='05' Type='Appartement T3' Locataire='SERRE JULIE' Loyer_annuel=8133 Debut_bail='01/05/2000' Fin_bail='30/04/2003' Entree='01/05/2018' Depart='' Revision_bail='01/05/2023' Usage='H' Depot_garantie=914.69\n",
      "mois=7 annee=2023 immeuble='marietton' Etage='03' Lot='06' Type='Appartement T3' Locataire='MINARY ALAIN' Loyer_annuel=13648 Debut_bail='01/04/2022' Fin_bail='31/03/2025' Entree='01/04/2022' Depart='' Revision_bail='01/04/2023' Usage='H' Depot_garantie=1099.0\n",
      "mois=7 annee=2023 immeuble='marietton' Etage='03' Lot='07' Type='Appartement T3' Locataire='MENASRI ICHEME' Loyer_annuel=9981 Debut_bail='22/12/2009' Fin_bail='21/12/2012' Entree='22/12/2018' Depart='' Revision_bail='22/12/2022' Usage='H' Depot_garantie=720.0\n",
      "mois=7 annee=2023 immeuble='marietton' Etage='04' Lot='09' Type='Appartement T3' Locataire='FAURE CALIXTE' Loyer_annuel=11537 Debut_bail='11/05/2022' Fin_bail='10/05/2025' Entree='11/05/2022' Depart='' Revision_bail='11/05/2023' Usage='H' Depot_garantie=929.0\n",
      "mois=7 annee=2023 immeuble='marietton' Etage='05' Lot='11' Type='Appartement T3' Locataire='CHARLOT ANDREE' Loyer_annuel=8944 Debut_bail='01/10/1995' Fin_bail='30/09/1998' Entree='01/10/1995' Depart='' Revision_bail='01/10/2022' Usage='H' Depot_garantie=792.73\n",
      "Unknown page\n",
      "Unknown page\n",
      "Unknown page\n",
      "Unknown page\n",
      "Unknown page\n",
      "Unknown page\n",
      "Unknown page\n",
      "Unknown page\n",
      "Unknown page\n",
      "Unknown page\n",
      "mois=7 annee=2023 immeuble='servient' Lot='01' Type='Loc. Commercial' Locataire='EFFUSION' Loyers=4725.43 Taxes=0.0 Provisions=663.0 Divers=0.0 Total=36006.89 Réglés=1796.0 Impayés=34210.89\n",
      "mois=7 annee=2023 immeuble='servient' Lot='02' Type='Loc. Commercial' Locataire='RAS' Loyers=3473.79 Taxes=0.0 Provisions=519.0 Divers=0.0 Total=3992.79 Réglés=3992.79 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='servient' Lot='03' Type='Appartement T1' Locataire='LE MENE Guillaume' Loyers=640.0 Taxes=0.0 Provisions=31.0 Divers=0.0 Total=671.0 Réglés=671.0 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='servient' Lot='04' Type='Appartement T2' Locataire='ROBERT ELSA' Loyers=496.0 Taxes=0.0 Provisions=24.0 Divers=608.2 Total=1128.2 Réglés=1128.2 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='servient' Lot='04' Type='Appartement T2' Locataire='PEJAUDIER Adelaide' Loyers=-267.55 Taxes=0.0 Provisions=102.97 Divers=128.23 Total=-36.35 Réglés=-36.35 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='servient' Lot='09' Type='Appartement T1' Locataire='MANNA Baptiste' Loyers=485.23 Taxes=0.0 Provisions=20.0 Divers=0.0 Total=505.23 Réglés=505.23 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='servient' Lot='05' Type='Loc. Commercial' Locataire='ATELIERS RENAISSANCE' Loyers=828.51 Taxes=0.0 Provisions=191.0 Divers=0.0 Total=1019.51 Réglés=1019.51 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='servient' Lot='06' Type='Appartement T3' Locataire='GUELLIER Muriel' Loyers=869.76 Taxes=0.0 Provisions=86.0 Divers=0.0 Total=955.76 Réglés=955.76 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='servient' Lot='07' Type='Appartement T1' Locataire='DUSSOLIER ROMAIN' Loyers=606.36 Taxes=0.0 Provisions=50.0 Divers=0.0 Total=656.36 Réglés=656.36 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='servient' Lot='08' Type='Appartement T1' Locataire='BESSON Léa' Loyers=594.79 Taxes=0.0 Provisions=28.0 Divers=0.0 Total=622.79 Réglés=622.79 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='servient' Lot='10' Type='Appartement T3' Locataire='FILIPPI Bérengère' Loyers=1230.88 Taxes=0.0 Provisions=87.0 Divers=0.0 Total=1317.88 Réglés=1317.88 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='servient' Lot='11' Type='Appartement T1' Locataire='LOINE Anais' Loyers=512.87 Taxes=0.0 Provisions=28.0 Divers=0.0 Total=540.87 Réglés=540.87 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='servient' Lot='12' Type='Appartement T1' Locataire='TEOLI Mathilde' Loyers=630.14 Taxes=0.0 Provisions=40.0 Divers=0.0 Total=670.14 Réglés=670.14 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='servient' Lot='20' Type='Appartement T3' Locataire='NADAM Jérémie' Loyers=1083.25 Taxes=0.0 Provisions=95.0 Divers=0.0 Total=1178.25 Réglés=1178.25 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='servient' Lot='13' Type='Appartement T3' Locataire='HALLAIS Béatrice' Loyers=1024.91 Taxes=0.0 Provisions=91.0 Divers=0.0 Total=1115.91 Réglés=1115.91 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='servient' Lot='14' Type='Appartement T3' Locataire='AUDOUIN Alexandre' Loyers=1173.33 Taxes=0.0 Provisions=93.0 Divers=0.0 Total=1266.33 Réglés=1266.33 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='servient' Lot='15' Type='Appartement T3' Locataire='CHARVET Rémi' Loyers=958.44 Taxes=0.0 Provisions=103.0 Divers=0.0 Total=1061.44 Réglés=1061.44 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='servient' Lot='16' Type='Appartement T3' Locataire='FURIN Jean-Jacques' Loyers=785.14 Taxes=0.0 Provisions=96.0 Divers=0.0 Total=881.14 Réglés=881.14 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='servient' Lot='17' Type='Appartement T2' Locataire='BARBIER Estelle' Loyers=822.04 Taxes=0.0 Provisions=65.0 Divers=0.0 Total=887.04 Réglés=887.04 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='servient' Lot='18' Type='Appartement T3' Locataire='GUYOT Pierre-Alain' Loyers=414.05 Taxes=0.0 Provisions=70.0 Divers=0.0 Total=484.05 Réglés=484.05 Impayés=0.0\n",
      "mois=7 annee=2023 immeuble='servient' Lot='19' Type='Appartement T2' Locataire='TAVARES NORTE Dylan' Loyers=1059.78 Taxes=0.0 Provisions=62.0 Divers=0.0 Total=1208.98 Réglés=1086.0 Impayés=122.98\n",
      "mois=7 annee=2023 immeuble='servient' lot='*' Champs='DEPENSES LOCATIVES' Categorie='Nettoyage immeuble' Fournisseur='DIDIER NETTOYAGE' Libellé='Juin 2023' Débit=729.84 Crédits=0.0 Dont_TVA=121.64 Locatif=729.84 Déductible=0.0\n",
      "mois=7 annee=2023 immeuble='servient' lot='*' Champs='DEPENSES LOCATIVES' Categorie='Nettoyage immeuble' Fournisseur='TOTALENERGIES' Libellé='Conso 19.03.23-18.05.23 - 96 kWh' Débit=69.22 Crédits=0.0 Dont_TVA=7.24 Locatif=69.22 Déductible=0.0\n",
      "mois=7 annee=2023 immeuble='servient' lot='*' Champs='DEPENSES LOCATIVES' Categorie='Nettoyage immeuble' Fournisseur='THYSSENKRUPP ASCENSEURS' Libellé='3ème Trimestre 2023' Débit=371.25 Crédits=0.0 Dont_TVA=33.75 Locatif=371.25 Déductible=0.0\n",
      "mois=7 annee=2023 immeuble='servient' lot='03' Champs='DEPENSES NON RECUPERABLES /LOT' Categorie='Travaux plomberie' Fournisseur='PPR' Libellé='S03 - Fourniture et pose joints de douch' Débit=99.0 Crédits=0.0 Dont_TVA=9.0 Locatif=0.0 Déductible=99.0\n",
      "mois=7 annee=2023 immeuble='servient' lot='*' Champs='HONORAIRES DE GESTION' Categorie='Hon. prest. mise en location' Fournisseur='ROSIER MODICA MOTTEROZ SA' Libellé='Hon. prest. mise en location' Débit=620.0 Crédits=0.0 Dont_TVA=103.33 Locatif=0.0 Déductible=620.0\n",
      "mois=7 annee=2023 immeuble='servient' lot='*' Champs='HONORAIRES DE GESTION' Categorie='Hon. prest. mise en location' Fournisseur='ROSIER MODICA MOTTEROZ SA' Libellé='Prest. réalisation EDL entrée' Débit=143.52 Crédits=0.0 Dont_TVA=23.92 Locatif=0.0 Déductible=143.52\n",
      "mois=7 annee=2023 immeuble='servient' lot='*' Champs='HONORAIRES DE GESTION' Categorie='Hon. prest. mise en location' Fournisseur='ROSIER MODICA MOTTEROZ SA' Libellé='Honoraires H.T.' Débit=1090.02 Crédits=0.0 Dont_TVA=0.0 Locatif=0.0 Déductible=1090.02\n",
      "mois=7 annee=2023 immeuble='servient' lot='*' Champs='HONORAIRES DE GESTION' Categorie='Hon. prest. mise en location' Fournisseur='ROSIER MODICA MOTTEROZ SA' Libellé='TVA/Honoraires ( 20.00 % )' Débit=218.0 Crédits=0.0 Dont_TVA=218.0 Locatif=0.0 Déductible=218.0\n",
      "mois=7 annee=2023 immeuble='servient' Etage='RC' Lot='01' Type='Loc. Commercial' Locataire='EFFUSION' Loyer_annuel=18901 Debut_bail='01/09/2018' Fin_bail='31/08/2027' Entree='01/09/2018' Depart='' Revision_bail='01/09/2022' Usage='C' Depot_garantie=4725.43\n",
      "mois=7 annee=2023 immeuble='servient' Etage='RC' Lot='02' Type='Loc. Commercial' Locataire='RAS' Loyer_annuel=13895 Debut_bail='11/05/2015' Fin_bail='10/05/2024' Entree='11/05/2015' Depart='' Revision_bail='11/05/2022' Usage='C' Depot_garantie=3375.0\n",
      "mois=7 annee=2023 immeuble='servient' Etage='RC' Lot='03' Type='Appartement T1' Locataire='LE MENE Guillaume' Loyer_annuel=7680 Debut_bail='08/02/2023' Fin_bail='07/02/2026' Entree='08/02/2023' Depart='' Revision_bail='08/02/2023' Usage='H' Depot_garantie=640.0\n",
      "mois=7 annee=2023 immeuble='servient' Etage='RC' Lot='04' Type='Appartement T2' Locataire='ROBERT ELSA' Loyer_annuel=7440 Debut_bail='07/07/2023' Fin_bail='06/07/2026' Entree='07/07/2023' Depart='' Revision_bail='07/07/2023' Usage='H' Depot_garantie=620.0\n",
      "mois=7 annee=2023 immeuble='servient' Etage='RC' Lot='09' Type='Appartement T1' Locataire='MANNA Baptiste' Loyer_annuel=5822 Debut_bail='05/02/2021' Fin_bail='04/02/2024' Entree='05/02/2021' Depart='' Revision_bail='05/02/2023' Usage='H' Depot_garantie=465.0\n",
      "mois=7 annee=2023 immeuble='servient' Etage='01' Lot='05' Type='Loc. Commercial' Locataire='ATELIERS RENAISSANCE' Loyer_annuel=9942 Debut_bail='01/06/2013' Fin_bail='31/05/2022' Entree='01/06/2013' Depart='' Revision_bail='01/06/2022' Usage='C' Depot_garantie=1350.64\n",
      "mois=7 annee=2023 immeuble='servient' Etage='01' Lot='06' Type='Appartement T3' Locataire='GUELLIER Muriel' Loyer_annuel=10437 Debut_bail='07/08/2018' Fin_bail='06/08/2021' Entree='07/08/2018' Depart='' Revision_bail='07/08/2022' Usage='H' Depot_garantie=813.0\n",
      "mois=7 annee=2023 immeuble='servient' Etage='01' Lot='07' Type='Appartement T1' Locataire='DUSSOLIER ROMAIN' Loyer_annuel=7530 Debut_bail='28/07/2017' Fin_bail='27/07/2020' Entree='28/07/2017' Depart='' Revision_bail='17/07/2023' Usage='H' Depot_garantie=570.0\n",
      "mois=7 annee=2023 immeuble='servient' Etage='01' Lot='08' Type='Appartement T1' Locataire='BESSON Léa' Loyer_annuel=7137 Debut_bail='20/01/2021' Fin_bail='19/01/2024' Entree='20/01/2021' Depart='' Revision_bail='20/01/2023' Usage='H' Depot_garantie=570.0\n",
      "mois=7 annee=2023 immeuble='servient' Etage='02' Lot='10' Type='Appartement T3' Locataire='FILIPPI Bérengère' Loyer_annuel=14770 Debut_bail='14/08/2020' Fin_bail='13/08/2023' Entree='14/08/2020' Depart='' Revision_bail='14/08/2022' Usage='H' Depot_garantie=1200.0\n",
      "mois=7 annee=2023 immeuble='servient' Etage='02' Lot='11' Type='Appartement T1' Locataire='LOINE Anais' Loyer_annuel=6154 Debut_bail='09/08/2020' Fin_bail='08/08/2023' Entree='09/08/2022' Depart='' Revision_bail='09/08/2022' Usage='H' Depot_garantie=500.0\n",
      "mois=7 annee=2023 immeuble='servient' Etage='02' Lot='12' Type='Appartement T1' Locataire='TEOLI Mathilde' Loyer_annuel=7561 Debut_bail='26/03/2020' Fin_bail='25/03/2023' Entree='26/03/2020' Depart='' Revision_bail='26/03/2023' Usage='H' Depot_garantie=598.0\n",
      "mois=7 annee=2023 immeuble='servient' Etage='02' Lot='20' Type='Appartement T3' Locataire='NADAM Jérémie' Loyer_annuel=12998 Debut_bail='08/10/2014' Fin_bail='07/10/2017' Entree='08/10/2014' Depart='' Revision_bail='08/10/2022' Usage='H' Depot_garantie=998.0\n",
      "mois=7 annee=2023 immeuble='servient' Etage='03' Lot='13' Type='Appartement T3' Locataire='HALLAIS Béatrice' Loyer_annuel=12298 Debut_bail='02/12/2014' Fin_bail='01/12/2017' Entree='02/12/2014' Depart='' Revision_bail='02/12/2022' Usage='H' Depot_garantie=957.0\n",
      "mois=7 annee=2023 immeuble='servient' Etage='03' Lot='14' Type='Appartement T3' Locataire='AUDOUIN Alexandre' Loyer_annuel=14079 Debut_bail='15/01/2019' Fin_bail='14/01/2022' Entree='15/01/2019' Depart='' Revision_bail='15/01/2023' Usage='H' Depot_garantie=1106.0\n",
      "mois=7 annee=2023 immeuble='servient' Etage='04' Lot='15' Type='Appartement T3' Locataire='CHARVET Rémi' Loyer_annuel=11501 Debut_bail='04/01/2016' Fin_bail='03/01/2019' Entree='04/01/2016' Depart='' Revision_bail='04/01/2023' Usage='H' Depot_garantie=881.0\n",
      "mois=7 annee=2023 immeuble='servient' Etage='04' Lot='16' Type='Appartement T3' Locataire='FURIN Jean-Jacques' Loyer_annuel=9421 Debut_bail='01/06/1999' Fin_bail='31/05/2002' Entree='01/06/1999' Depart='' Revision_bail='01/06/2023' Usage='H' Depot_garantie=1067.14\n",
      "mois=7 annee=2023 immeuble='servient' Etage='05' Lot='17' Type='Appartement T2' Locataire='BARBIER Estelle' Loyer_annuel=9864 Debut_bail='01/08/2019' Fin_bail='31/07/2022' Entree='01/08/2019' Depart='' Revision_bail='01/09/2022' Usage='H' Depot_garantie=785.0\n",
      "mois=7 annee=2023 immeuble='servient' Etage='05' Lot='18' Type='Appartement T3' Locataire='GUYOT Pierre-Alain' Loyer_annuel=4968 Debut_bail='01/07/1997' Fin_bail='30/06/2000' Entree='01/07/1997' Depart='' Revision_bail='01/07/2023' Usage='H' Depot_garantie=548.82\n",
      "mois=7 annee=2023 immeuble='servient' Etage='05' Lot='19' Type='Appartement T2' Locataire='TAVARES NORTE Dylan' Loyer_annuel=12133 Debut_bail='16/04/2022' Fin_bail='15/04/2025' Entree='16/04/2022' Depart='' Revision_bail='16/04/2023' Usage='H' Depot_garantie=1024.0\n"
     ]
    }
   ],
   "source": [
    "for l in pdf_extract_tables_lines(pdf):\n",
    "    print(l)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "84f5b164-04ff-436c-a214-a646a891a831",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dd10a8d6-1fdb-4550-a2d5-1e4fcad61ec2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}