#! /usr/bin/env python3
# -*- coding: utf-8 -*-
# Moulinette permettant de produire des relevés de comptes mensuels
# au format CSV à partir d'exports CSV venant de l'interface Web du
# crédit coopératif et ayant des chevauchements.
import os, sys, json
import csv
from collections import OrderedDict
from datetime import datetime
import hashlib
import locale
locale.setlocale(locale.LC_ALL, 'fr_FR.UTF-8')
class CsvStatementParser(object):
def __init__(self):
self.lines = OrderedDict()
self.fieldnames = None
self.date_fieldname = "Date"
self.overlap_detector = {}
self.first_ops = {}
self.last_ops = {}
self.daterange = [datetime.now(), datetime.fromordinal(1)]
self.dups = dict() # holds counters for duplicate lines
def parse(self, filename):
with open(filename, encoding='iso-8859-1') as csvfile:
reader = csv.DictReader(csvfile, delimiter=';')
if self.fieldnames is None:
# Le premier fichier parcourru détermine les noms de
# colonnes attendus dans les prochains fichiers.
self.fieldnames = [k for k in reader.fieldnames if k != '']
# On identifie également la permière colonne qui
# ressemble à une date, elle servira ensuite de clef
# d'indexation.
for fname in self.fieldnames:
if "date" in fname.lower():
self.date_fieldname = fname
break
if self.fieldnames != [k for k in reader.fieldnames if k != '']:
print("""Fichier ignoré : %s. Cause: does not have the expected column names.
Found: %s
Expected: %s
""" % (filename, ",".join(reader.fieldnames), ",".join(self.fieldnames)))
else:
self._parse_file(filename, reader)
def _parse_file(self, filename, reader):
self.dups = dict() # Duplicate counters must be reset for each file
print("Lecture du fichier %s" % os.path.basename(filename))
for row in reader:
opdate = datetime.strptime(row[self.date_fieldname], '%d/%m/%Y')
ophash = datetime.strftime(opdate, '%Y-%m-%d') + hashlib.md5(json.dumps(row).encode()).hexdigest()
# Special use case: one file contains multiple identical lines.
# Then we append a counter to the duplicate ophash.
if ophash in self.lines:
print("*** Duplicate line found in {}: {}".format(filename, ';'.join(row.values())))
if ophash not in self.dups:
self.dups[ophash] = 1
self.dups[ophash] = self.dups[ophash] + 1
ophash = ophash + "-" + str(self.dups[ophash])
# print(" We have now :\n {}\n {}".format("\n ".join([h + " // " + "".join(v.values()) for h,v in self.lines.items() if h.startswith(ophash[0:10])]), ophash + " // " + "".join(row.values()))) # XXX DEBUG
self.lines[ophash] = {k:v for k,v in row.items() if k != ''}
# Adjust dateranges
if opdate < self.daterange[0]:
self.daterange[0] = opdate
if opdate > self.daterange[1]:
self.daterange[1] = opdate
# Prepare overlap detection
if ophash not in self.overlap_detector:
self.overlap_detector[ophash] = set()
self.overlap_detector[ophash].add(filename)
# Remember first line of each CSV file
if filename not in self.first_ops:
self.first_ops[filename] = ophash
# Remember last line of each CSV file
if filename not in self.last_ops:
self.last_ops[filename] = ophash
# CSV files are sometimes sorted by date ASC and sometimes
# sorted by date DESC. So we may need to swap first_op and last_op.
if (int(self.first_ops[filename][0:10].replace('-', '')) > int(self.last_ops[filename][0:10].replace('-', ''))):
tmp = self.first_ops[filename]
self.first_ops[filename] = self.last_ops[filename]
self.last_ops[filename] = tmp
def dump_full(self, output_filename):
with open(output_filename, 'w') as outfile:
writer = csv.DictWriter(outfile, self.fieldnames, delimiter=';')
writer.writeheader()
for line in reversed(sorted(self.lines.items())):
writer.writerow(line[1])
print("Relevé intégral généré dans le fichier %s" % os.path.abspath(output_filename))
def dump_monthly_reports(self, outputdir):
firstmonth = int('{:%Y%m}'.format(self.daterange[0])) + 1
lastmonth = int('{:%Y%m}'.format(self.daterange[1])) - 1
if firstmonth >= lastmonth:
print("Impossible de générer des relevés mensuels car la plage de dates traitée est trop petite.")
return
curmonth = firstmonth
def __openfile__(curmonth):
fname = "releve_{0}.csv".format(curmonth)
outfile = open(os.path.join(outputdir, fname), 'w')
writer = csv.DictWriter(outfile, self.fieldnames, delimiter=';')
writer.writeheader()
return outfile, writer
outfile, writer = __openfile__(curmonth)
writer = csv.DictWriter(outfile, self.fieldnames, delimiter=';')
for line in sorted(self.lines.items()):
month = int(line[0][0:4] + line[0][5:7])
if month < curmonth:
continue
if month > lastmonth:
break
if month > curmonth:
outfile.close()
curmonth = month
if month in self.badmonths:
outfile, writer = __openfile__(str(curmonth) + "_potentiellement_incomplet")
else:
outfile, writer = __openfile__(curmonth)
writer.writerow(line[1])
outfile.close()
print("Relevés mensuels générés dans le dossier %s" % os.path.abspath(outputdir))
def check_overlaps(self):
"""
Helps finding possible missing operations if exported CSV files
are not "contiguous".
"""
self.badmonths = set()
print("\nRecherche de chevauchements, car les chevauchements de fichiers CSV c'est bien, ça confirme qu'il n'y a pas d'écritures manquantes...")
for filename, first_op in self.first_ops.items():
if first_op in self.overlap_detector:
otherfiles = [v for v in self.overlap_detector.get(first_op)]
otherfiles.remove(filename)
if len(otherfiles) > 0:
# Eliminate files having the same first_op
otherfiles[:] = [candidate for candidate in otherfiles if self.first_ops[candidate] != first_op]
if len(otherfiles) == 0 and first_op[0:10] != "{0:%Y-%m-%d}".format(self.daterange[0]):
self.badmonths.add(int(first_op[0:7].replace('-', '')))
print("Attention. Il y a peut-être des écritures manquantes avant le %s (fichier %s)." % (first_op[0:10], os.path.basename(filename)))
for filename, last_op in self.last_ops.items():
if last_op in self.overlap_detector:
otherfiles = [v for v in self.overlap_detector.get(last_op)]
otherfiles.remove(filename)
if len(otherfiles) > 0:
# Eliminate files having the same last_op
otherfiles[:] = [candidate for candidate in otherfiles if self.last_ops[candidate] != last_op]
if len(otherfiles) == 0 and last_op[0:10] != "{0:%Y-%m-%d}".format(self.daterange[1]):
self.badmonths.add(int(last_op[0:7].replace('-', '')))
print("Attention. Il y a peut-être des écritures manquantes après le %s (fichier %s)." % (last_op[0:10], os.path.basename(filename)))
print("")
def start_cli(dirpath, outputdir):
# Lecture des fichiers CSV présents dans le dossier
p = CsvStatementParser()
for f in sorted(os.listdir(dirpath)):
if f.endswith('.csv') or f.endswith('.CSV'):
p.parse(os.path.join(dirpath, f))
print("Les écritures lues s'étalent entre le {0:%d %B %Y} et le {1:%d %B %Y}.".format(p.daterange[0], p.daterange[1]))
# Recherche de chevauchements
p.check_overlaps()
# Générer un relevé intégral et des relevés mensuels
suffix = "_{0:%Y-%m-%d}__{1:%Y-%m-%d}".format(p.daterange[0], p.daterange[1])
if len(p.badmonths): suffix += "_avec_des_trous"
p.dump_full(os.path.join(outputdir, "integral%s.csv" % suffix))
p.dump_monthly_reports(outputdir)
if __name__ == '__main__':
if len(sys.argv) < 2:
print("Erreur. Merci de préciser le chemin du dossier où se trouvent les fichiers CSV à analyser.")
print("Usage:")
print(" %s exports_csv/ csv_mensuels/" % sys.argv[0])
sys.exit(1)
inputdir = sys.argv[1]
if len(sys.argv) > 2:
outputdir = sys.argv[2]
else:
outputdir = os.path.join(inputdir, "outputdir")
# Création d'un dossier output si besoin
if not os.path.isdir(outputdir):
os.makedirs(outputdir)
start_cli(inputdir, outputdir)