# Path: tlfp/tools/common.py
# def log_print(file=None, only_log=False):
#         def __init__(self, file):
#         def write(self, message):
#         def __getattr__(self, attr):
# def open_csv(dirpath, filename, delimiter=";"):
# def open_json(dirpath, filename=None):
# def download_daily(url_or_collecter, filename, output_directory):
# def print_json(dico, filename=None):
# def debug_file(data, filename):
# def format_date(d):
# def format_display_date(d):
# def real_lower(text):
# def clean_accents(text):
# def clean_text_for_diff(text):
# def compute_approx_similarity(text1, text2):
# def compute_similarity(text1, text2):
# def compute_similarity_by_articles(text1, text2):
# def identify_room(url_or_institution, legislature):
# def national_assembly_text_legislature(url_text):
# def personalize_link(link, obj, urlapi):
# def slug_groupe(g):
#     def __init__(self, sourcedir, load_parls=False):
#     def get_procedure(self):
#     def get_parlementaires(self):
#     def get_parlementaire(self, urlapi, slug):
#     def get_groupes(self):
#     def get_historique_groupes_senat(self):
#     def get_senateur_groupe(self, slug, object_date, urlapi):
#     def add_groupe(self, groupes, gpe, urlapi):
# def get_text_id(texte_url):
#     class Logger:
# class Context(object):
# 
# Path: tlfp/tools/sort_articles.py
# def split_article(a):
# def quantify_bis(b):
# def type_detail(d):
# def compare_details(a, b):
# def compare_articles(a, b):
# def article_is_lower(a, b):


import copy
import re
import sys
from bs4 import BeautifulSoup
from lawfactory_utils.urls import download
from .common import get_text_id, upcase_accents, real_lower
from .sort_articles import bister

    definitif = re_definitif.search(string) is not None or re_definitif_new_format.search(string) is not None or 'legifrance.gouv.fr' in url
    soup = BeautifulSoup(string, "html5lib")
    texte = {"type": "texte", "source": url, "definitif": definitif}

    # Generate Senat or AN ID from URL
    if url.startswith('http'):
        if "legifrance.gouv.fr" in url:
            m = re.search(r"cidTexte=(JORFTEXT\d+)(\D|$)", url, re.I)
            if m:
                texte["id"] = m.group(1)
            elif "/jo/texte" in url:
                texte["id"] = url.split('/')[-3]
            else:
                last_part = [part for part in url.split('/') if part][-1]
                if last_part.startswith('JORFTEXT'):
                    texte['id'] = last_part
            if "id" not in texte:
                raise Exception("Could not find the texte ID of " + url)
        elif re.search(r"assemblee-?nationale", url, re.I):
            if "/dyn/" not in url:
                m = re.search(r"/(\d+)/.+/(ta)?[\w\-]*(\d{4})[\.\-]", url, re.I)
                numero = int(m.group(3))
                texte["id"] = "A" + m.group(1) + "-"
                if m.group(2) is not None:
                    texte["id"] += m.group(2)
                texte["id"] += str(numero)
            else:
                textid_match = re.search(r'.{4}[ANS]*R[0-9][LS]*([0-9]*)[BTACP]*\d*\.html', url)
                texte["id"] = "A" + textid_match.group(1) + "-" + get_text_id(url).lower()

# Path: tlfp/tools/common.py
# def log_print(file=None, only_log=False):
#         def __init__(self, file):
#         def write(self, message):
#         def __getattr__(self, attr):
# def open_csv(dirpath, filename, delimiter=";"):
# def open_json(dirpath, filename=None):
# def download_daily(url_or_collecter, filename, output_directory):
# def print_json(dico, filename=None):
# def debug_file(data, filename):
# def format_date(d):
# def format_display_date(d):
# def real_lower(text):
# def clean_accents(text):
# def clean_text_for_diff(text):
# def compute_approx_similarity(text1, text2):
# def compute_similarity(text1, text2):
# def compute_similarity_by_articles(text1, text2):
# def identify_room(url_or_institution, legislature):
# def national_assembly_text_legislature(url_text):
# def personalize_link(link, obj, urlapi):
# def slug_groupe(g):
#     def __init__(self, sourcedir, load_parls=False):
#     def get_procedure(self):
#     def get_parlementaires(self):
#     def get_parlementaire(self, urlapi, slug):
#     def get_groupes(self):
#     def get_historique_groupes_senat(self):
#     def get_senateur_groupe(self, slug, object_date, urlapi):
#     def add_groupe(self, groupes, gpe, urlapi):
# def get_text_id(texte_url):
#     class Logger:
# class Context(object):
# 
# Path: tlfp/tools/sort_articles.py
# def split_article(a):
# def quantify_bis(b):
# def type_detail(d):
# def compare_details(a, b):
# def compare_articles(a, b):
# def article_is_lower(a, b):


# Path: tlfp/tools/parse_texte.py
import copy
import re
import sys
from bs4 import BeautifulSoup
from lawfactory_utils.urls import download
from .common import get_text_id, upcase_accents, real_lower
from .sort_articles import bister


    definitif = re_definitif.search(string) is not None or re_definitif_new_format.search(string) is not None or 'legifrance.gouv.fr' in url
    soup = BeautifulSoup(string, "html5lib")
    texte = {"type": "texte", "source": url, "definitif": definitif}

    # Generate Senat or AN ID from URL
    if url.startswith('http'):
        if "legifrance.gouv.fr" in url:
            m = re.search(r"cidTexte=(JORFTEXT\d+)(\D|$)", url, re.I)
            if m:
                texte["id"] = m.group(1)
            elif "/jo/texte" in url:
                texte["id"] = url.split('/')[-3]
            else:
                last_part = [part for part in url.split('/') if part][-1]
                if last_part.startswith('JORFTEXT'):
                    texte['id'] = last_part
            if "id" not in texte:
                raise Exception("Could not find the texte ID of " + url)
        elif re.search(r"assemblee-?nationale", url, re.I):
            if "/dyn/" not in url:
                m = re.search(r"/(\d+)/.+/(ta)?[\w\-]*(\d{4})[\.\-]", url, re.I)
                numero = int(m.group(3))
                texte["id"] = "A" + m.group(1) + "-"
                if m.group(2) is not None:
                    texte["id"] += m.group(2)
                texte["id"] += str(numero)
            else:
                textid_match = re.search(r'.{4}[ANS]*R[0-9][LS]*([0-9]*)[BTACP]*\d*\.html', url)
                texte["id"] = "A" + textid_match.group(1) + "-" + get_text_id(url).lower()

            texte["nosdeputes_id"] = get_text_id(url)