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Copy pathCdP_Downloader.py
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646 lines (542 loc) · 60.9 KB
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"""
===============================================================================
= Cahier de Prepa Downloader =
= De Albatros =
= Basé sur cdpDumpingUtils de Azuxul =
= v1.0 =
===============================================================================
- Github: https://github.com/0xybo/CdP_Downloader
- Github du projet initial: https://github.com/Azuxul/cahier-de-prepa-downloader
"""
"""
MIT License
Copyright (c) 2022 Alban G. Albatros
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
"""
# ============================== CONFIGURATION ================================
# Pré-remplissage (optionnel)
# - Lien du cahier de prepa
pre_url = ""
# - Chemin du dossier de téléchargement
pre_path = "download"
# - Nom d'utilisateur
pre_user = ""
# - Mot de passe
pre_password = ""
# - Retélécharge tous les fichiers
pre_downloadAgain = False
# =========================== FIN DE CONFIGURATION ============================
# Installe les modules nécessaires
def installModules():
from subprocess import Popen
from sys import executable
for i in ["requests", "bs4", "urllib3", "Pyside6"]:
Popen([executable, "-m", "pip", "install", i]).wait()
print(" => Module " + i + " installé")
try:
# Importation des modules
from requests import session
from bs4 import BeautifulSoup
from re import compile, search
from os import path as osPath, mkdir, getcwd
from sys import exit
from time import time
from datetime import datetime
from urllib3 import disable_warnings, exceptions
from urllib.request import urlopen
from PySide6.QtWidgets import QMainWindow, QApplication, QWidget, QLineEdit, QCheckBox, QGridLayout, QPushButton, QPlainTextEdit, QSplitter, QProgressBar, QMessageBox, QTreeWidget, QTreeWidgetItem
from PySide6.QtGui import QIcon, QPixmap, Qt
from PySide6.QtCore import QThread, QObject, Signal
except ImportError:
# Si un des modules ne peut pas être importé
try:
from tkinter.messagebox import askyesno, showerror, showinfo
except ImportError:
# Si le module tkinter n'est pas installé
def done(): return print("Modules installés")
def error(err):
print("Une erreur s'est produite ... \n\n"+str(err))
input("Appuyer sur entrer pour quitter...")
def askInstall():
print("Un ou plusieurs modules sont manquant, voulez vous les installer ? [o/n]")
return input("? ") == "o"
finally:
# Si le module tkinter est installé
def done(): return showinfo(title="Installer des modules", message="Modules installés")
def error(err):
showerror(title="Installer des modules", message="Une erreur s'est produite ..., Le programme va s'arrêter \n\n"+str(err))
def askInstall(): return askyesno(title="Installer les modules", message="Un ou plusieurs modules sont manquant, voulez vous les installer ?")
if askInstall():
try:
installModules()
done()
# Réimporte les modules
from requests import session
from bs4 import BeautifulSoup
from re import compile, search
from os import path as osPath, mkdir, getcwd
from sys import exit
from time import time
from datetime import datetime
from urllib3 import disable_warnings, exceptions
from urllib.request import urlopen
from PySide6.QtWidgets import QMainWindow, QApplication, QWidget, QLineEdit, QCheckBox, QGridLayout, QPushButton, QPlainTextEdit, QSplitter, QProgressBar, QMessageBox, QTreeWidget, QTreeWidgetItem
from PySide6.QtGui import QIcon, QPixmap, Qt
from PySide6.QtCore import QThread, QObject, Signal
except BaseException as err:
error(err)
exit()
else:
exit()
# Désactive les messages d'alerte inutiles
disable_warnings(exceptions.InsecureRequestWarning)
# Définit un nom pour le processus pour permettre l'affichage de l'icon
try:
from ctypes import windll
windll.shell32.SetCurrentProcessExplicitAppUserModelID("Oxybo.CdP_Downloader")
except ImportError:
pass
class App(QApplication):
def __init__(self):
super().__init__()
# Définition de la fenêtre principale
self.window = QMainWindow()
# Définition de l'icon à partir de l'URI à la fin du fichier
self.iconUri = iconUri
data = urlopen(self.iconUri).read()
self.iconPixmap = QPixmap()
self.iconPixmap.loadFromData(data)
self.icon = QIcon(self.iconPixmap)
self.setWindowIcon(self.icon)
# Définition du titre de la fenêtre
self.window.setWindowTitle("CdP Downloader")
# Définition de la mise en page => fenêtre séparé en 2 verticalement
self.main = QSplitter(Qt.Vertical)
# Définition de la première partie de la fenêtre => Le détail du téléchargement
self.output = Output(self)
self.main.addWidget(self.output)
# Défintition de la deuxième partie de la fenètre => Le résumé du téléchargement notamment la barre de progression
self.infos = Infos(self)
self.main.addWidget(self.infos)
self.main.setSizes([1000, 1])
self.window.setCentralWidget(self.main)
self.window.showMaximized()
# Demande le lien du cahier de prépa, le chemin du dossier de téléchargement, le nom d'utilisateur (optionnel) et le mot de passe (optionnel)
self.input = Input(self)
self.input.show()
self.exec()
# Exécuté par la class Input => récupère les paramètres de téléchargement
def start(self, url: str, path: str, username: str, password: str, downloadAgain: bool):
self.url = url
self.path = path
self.username = username
self.password = password
self.downloadAgain = downloadAgain
# Ouverture une session de navigation avec Requests
self.session = session()
self.session.get(url, verify=False)
self.session.post(url, data={'login': username, 'motdepasse': password, 'connexion': '1'}, verify=False)
# Récupèration des informations de la page principale
self.page_soup = BeautifulSoup(self.connect(self.url + "/docs"), 'html.parser')
self.title = BeautifulSoup(self.connect(self.url), 'html.parser').find('title').text
self.downloadPath = self.createDir(self.path, self.title)
self.links = []
subjects = self.subjects()
self.select = Selection(self, subjects)
self.select.show()
# Créé un dossier si celui-ci n'existe pas déjà
def createDir(self, path, title):
p = osPath.join(path, self.clear(title))
if osPath.exists(p):
pass
else:
mkdir(p)
return p
# Permet de créer des fichiers sans obtenir d'erreur à cause d'un nom contenant des caractères interdits
def clear(self, text):
for i in ['\\', '/', ':', '*', '?', '"', '<', '>', '|']:
text = text.replace(i, '')
return text
# Récupère des différentes matières sur la page principale
def subjects(self):
out = {}
subjects = self.page_soup.find_all("p", class_="rep")
subjects = [subjects[i].find("a") for i in range(len(subjects))]
for i in range(len(subjects)):
out[subjects[i].text] = [self.url + "/docs" + subjects[i]["href"], osPath.join(self.downloadPath, self.clear(subjects[i].text))]
return out
# Récupère une page à partir du lien de celle-ci
def connect(self, link):
r = self.session.get(link, verify=False)
if r.ok:
return r.text
else:
QMessageBox.critical(self.window, "Erreur de connection", "Un problème avec l'adresse ou un soucis de connexion s'est produit . Veuillez réessayer : " + link)
exit()
# Executé par la class Selection
def startDownload(self, subs):
self.start_time = time()
# Permet de récupérer le temps d'execution des téléchargements
self.tmp_time = self.start_time
# Permet de donner la taille totale téléchargée
self.fullSize = 0
# Permet de suivre la progression du téléchargement
self.fileCounter = 0
# Liste des matières
self.subjects = subs
for k in list(self.subjects):
if not osPath.exists(self.subjects[k][1]):
mkdir(self.subjects[k][1])
# Récupère les dossiers et fichiers de la matière
self.extract(subs[k][0], subs[k][1])
d_time = time() - self.tmp_time
unit = (86400 if (d_time / (86400)) > 0.5 else
3600 if (d_time / (3600)) > 0.5 else
60 if (d_time / 60) > 0.5 else
1)
self.output.print("📜 Liens de téléchargement récupérés (" + str(round(d_time/unit, 2)) + (
' Jours' if unit == 86400 else
' Heures' if unit == 3600 else
' Minutes' if unit == 60 else
' Secondes')+") : "+k)
self.tmp_time = time()
# Démarre le téléchargement dans un processus parallèle pour éviter un bloquage de l'interface du à l'attente du téléchargement
self.linksLenght = len(self.links)
if self.linksLenght != 0:
self.downloadThread = QThread()
self.download = Download(self.links, self.session)
self.downloadThread.started.connect(self.download.run)
self.download.finished.connect(self.downloadDone)
self.download.progress.connect(self.downloadProgress)
self.download.started.connect(self.downloadStarted)
self.download.error.connect(self.downloadError)
self.download.moveToThread(self.downloadThread)
self.downloadThread.start()
else:
self.downloadDone()
# Récupère les fichiers dans un dossier et ses sous dossiers
def extract(self, link, path):
pattern = r'\((.*?),'
sp = BeautifulSoup(self.connect(link), "html.parser")
section = sp.find('section')
recents = section.find("h3", string="Documents récents")
if recents:
docs = recents.find_previous_siblings('p', class_='doc')
reps = section.find_all('p', class_='rep')
else:
docs = section.find_all('p', class_='doc')
reps = section.find_all('p', class_='rep')
# Dans le cas d'un fichier
for doc in docs:
name = self.clear(doc.find('span', class_='nom').text)
donnee = doc.find('span', class_='docdonnees')
doc_link = doc.find('a')
sec = doc.find('span', class_='icon-minilock')
if (doc_link and donnee) is not None and sec is None:
ext = search(pattern, donnee.text).group(1)
doc_link = self.url + doc_link['href']
if ext in ['mp4', 'avi', 'mkv']:
doc_link += '&dl'
# Teste si le fichier est déjà téléchargé et si le programme doit le retélécharger
if not osPath.exists(path + '\\' + name + '.' + ext) or self.downloadAgain:
self.output.print("🔗 Nouveau lien : " + path + '\\' + name + '.' + ext + " (" + doc_link + ")")
self.links.append({"link": doc_link, "name": name, "ext": ext, "path": path})
self.infos.updateFoundFiles()
else:
self.output.print("📄 Fichier extiste déjà : "+path + '\\' + name + '.' + ext)
# Dans le cas d'un dossier
for rep in reps:
name = self.clear(rep.find('span', class_='nom').text)
rep_link = rep.find('a')
sec = rep.find('span', class_='icon-minilock')
if rep_link is not None and sec is None:
rep_path = self.createDir(path, name)
rep_link = self.url + 'docs' + rep_link['href']
# Relance l'extraction des fichiers pour le dossier courant
self.extract(rep_link, rep_path)
# Exécuté par la class Download quand un fichier a été téléchargé
def downloadProgress(self, size):
unit = (1000000000 if (size / (1000000000)) > 0.5 else
1000000 if (size / (1000000)) > 0.5 else
1000 if (size / (1000)) > 0.5 else
1)
d_time = round(time()-self.tmp_time, 2)
self.output.print(
"✅ Fichier téléchargé : (" + str(d_time) +
"s / "+(str(round(size / unit, 2)) + (" Go" if unit == 1000000000 else
" Mo" if unit == 1000000 else
" Ko" if unit == 1000 else
" o"))+")"
)
self.fileCounter += 1
self.fullSize += size
self.infos.newFile()
# Exécuté par la class Download quand un fichier va être téléchargé
def downloadStarted(self, path):
self.output.print(f"⬇️ Téléchargement de : "+path+" ...")
self.tmp_time = time()
# Executé par la class Download quand tous les fichiers ont été téléchargé
def downloadDone(self):
self.end_time = time()
d_time = round(self.end_time - self.start_time, 2)
sizeUnit = (1000000000 if (self.fullSize / (1000000000)) > 0.5 else
1000000 if (self.fullSize / (1000000)) > 0.5 else
1000 if (self.fullSize / (1000)) > 0.5 else
1)
timeUnit = (86400 if (d_time / (86400)) > 0.5 else
3600 if (d_time / (3600)) > 0.5 else
60 if (d_time / 60) > 0.5 else
1)
time_ = str(round(d_time / timeUnit, 2)) + (
' Jours' if timeUnit == 86400 else
' Heures' if timeUnit == 3600 else
' Minutes' if timeUnit == 60 else
' Secondes')
size = str(round(self.fullSize / sizeUnit, 2)) + (
' Go' if sizeUnit == 1000000000 else
' Mo' if sizeUnit == 1000000 else
' Ko' if sizeUnit == 1000 else
' o')
self.output.print(f"💯 Téléchargement terminé ({time_} / {size})")
self.infos.progress.setValue(100)
with open(self.downloadPath + "/infos.txt", "w", encoding="utf-8") as f:
now = datetime.now()
f.write("\n".join([
f"==================================================",
f"= CdP Downloader =",
f"= By Alban G. =",
f"==================================================",
f"",
f"Dernière mise à jour : {str(now.day)}/{str(now.month)}/{str(now.year)} {str(now.hour)}:{str(now.minute)}:{str(now.second)}",
f"Temps écoulé : {time_}",
f"Données téléchargées : {size}"
]))
# Exécuté par la class Download quand il y a une erreur de téléchargement
def downloadError(self):
self.output.print("❌ Erreur de téléchargement ("+str(round(time()-self.app.tmp_time, 2))+"s / 0 o)")
# Arrête le programme si la fenêtre est fermée
def closeEvent(self, *args, **kwargs):
exit()
# Permet de télécharger tous les fichiers
class Download(QObject):
finished = Signal()
progress = Signal(int)
started = Signal(str)
error = Signal()
def __init__(self, links, session):
super().__init__()
self.links = links
self.session = session
def run(self):
link = self.links[0]["link"]
name = self.links[0]["name"]
ext = self.links[0]["ext"]
path = self.links[0]["path"]
self.links.pop(0)
self.started.emit(path+"\\"+name + "." + ext)
try:
response = self.session.get(link, verify=False)
with open(path + '\\' + name + '.' + ext, 'wb') as f:
f.write(response.content)
size = len(response.content)
self.progress.emit(size)
except:
self.error.emit()
if len(self.links) > 0:
self.run()
else:
self.finished.emit()
# Récolte les paramètres
class Input(QWidget):
def __init__(self, app: App):
super().__init__()
self.app = app
self._layout = QGridLayout()
self.setWindowTitle("Paramètres")
self.setMinimumWidth(600)
self.WUrl = QLineEdit()
self.WUrl.setPlaceholderText("Lien du cahier de prepa (ex: https://cahier-de-prepa.fr/bcpst")
self.WUrl.setText(pre_url)
self.WUrl.returnPressed.connect(self.submit)
self.WPath = QLineEdit()
self.WPath.setPlaceholderText("Chemin du dossier de téléchargement")
self.WPath.setText(pre_path)
self.WPath.returnPressed.connect(self.submit)
self.WUsername = QLineEdit()
self.WUsername.setPlaceholderText("Utilisateur")
self.WUsername.setText(pre_user)
self.WUsername.returnPressed.connect(self.submit)
self.WPassword = QLineEdit()
self.WPassword.setPlaceholderText("Mot de passe")
self.WPassword.setEchoMode(QLineEdit.Password)
self.WPassword.setStyleSheet('lineedit-password-character: 9679')
self.WPassword.setText(pre_password)
self.WPassword.returnPressed.connect(self.submit)
self.downloadAgain = QCheckBox()
self.downloadAgain.setText("Remplacer les fichiers existants")
self.downloadAgain.setChecked(bool(pre_downloadAgain))
self.WSubmit = QPushButton("Valider")
self.WSubmit.clicked.connect(self.submit)
self._layout.addWidget(self.WUrl, 0, 0)
self._layout.addWidget(self.WPath, 1, 0)
self._layout.addWidget(self.WUsername, 2, 0)
self._layout.addWidget(self.WPassword, 3, 0)
self._layout.addWidget(self.downloadAgain, 4, 0)
self._layout.addWidget(self.WSubmit, 5, 0)
self.setLayout(self._layout)
def closeEvent(self, *args, **kwargs):
exit()
def submit(self):
url = self.WUrl.text()
path = self.WPath.text()
username = self.WUsername.text()
password = self.WPassword.text()
if not path:
path = getcwd()
self.destroy(True)
elif not osPath.exists(path):
QMessageBox.critical(self, "Erreur", "Le chemin du dossier de téléchargement ne pointe vers rien")
else:
self.destroy(True)
self.app.start(url, path, username, password, self.downloadAgain.isChecked())
class Infos(QWidget):
def __init__(self, app: App):
super().__init__()
self.app = app
self._layout = QGridLayout()
self.progress = QProgressBar()
# Définit le minimum et le maximum de la barre de progression pour l'utiliser avec des pourcentages
self.progress.setRange(0, 100)
# Définit la progression au minimum pour que la barre de soit pas vide
self.progress.setValue(0)
self.foundFiles = QTreeWidgetItem(["Fichiers trouvés", "0"])
self.files = QTreeWidgetItem(["Fichiers téléchargés", "0"])
self.data = QTreeWidgetItem(["Données téléchargées", "0 o"])
self.time = QTreeWidgetItem(["Temps écoulé", "0 s"])
self.speed = QTreeWidgetItem(["Vitesse de téléchargement", "0 o/s"])
self.table = QTreeWidget()
self.table.setHeaderLabels(["Nom", "Valeur"])
self.table.setColumnCount(2)
self.table.resizeColumnToContents(0)
self.table.addTopLevelItem(self.foundFiles)
self.table.addTopLevelItem(self.files)
self.table.addTopLevelItem(self.data)
self.table.addTopLevelItem(self.time)
self.table.addTopLevelItem(self.speed)
self.table.resizeColumnToContents(0)
self._layout.addWidget(self.progress)
self._layout.addWidget(self.table)
self.setLayout(self._layout)
self.setMinimumHeight(170)
def newFile(self):
fullSizeUnit = (1000000000 if (self.app.fullSize / 1000000000) > 1 else
1000000 if (self.app.fullSize / 1000000) > 1 else
1000 if (self.app.fullSize / 1000) > 1 else
1)
d_fullTime = time() - self.app.start_time
fullTimeUnit = (86400 if (d_fullTime / 86400) > 1 else
3600 if (d_fullTime / 3600) > 1 else
60 if (d_fullTime / 60) > 1 else
1)
speedUnit = (1000000000 if (self.app.fullSize / d_fullTime / 1000000000) > 1 else
1000000 if (self.app.fullSize / d_fullTime / 1000000) > 1 else
1000 if (self.app.fullSize / d_fullTime / 1000) > 1 else
1)
self.files.setText(1, str(self.app.fileCounter))
self.data.setText(1, str(round(self.app.fullSize / fullSizeUnit, 2)) + (
' Go' if fullSizeUnit == 1000000000 else
' Mo' if fullSizeUnit == 1000000 else
' Ko' if fullSizeUnit == 1000 else
' o'))
self.time.setText(1, str(round(d_fullTime / fullTimeUnit, 2)) + (
' Jours' if fullTimeUnit == 86400 else
' Heures' if fullTimeUnit == 3600 else
' Minutes' if fullTimeUnit == 60 else
' Secondes'
))
self.speed.setText(1, str(round(self.app.fullSize / d_fullTime / speedUnit, 2)) + (
' Go/s' if fullSizeUnit == 1000000000 else
' Mo/s' if fullSizeUnit == 1000000 else
' Ko/s' if fullSizeUnit == 1000 else
' o/s'
))
self.progress.setValue(int(self.app.fileCounter/self.app.linksLenght*100))
def updateFoundFiles(self):
self.foundFiles.setText(1, str(len(self.app.links)))
class Output(QPlainTextEdit):
def __init__(self, app: App):
super().__init__()
self.app = app
# Empêche la modification
self.setReadOnly(True)
self.appendPlainText("📢 Bienvenue !")
# Ajoute une ligne de texte dans la fenêtre
def print(self, *text):
self.appendPlainText(" ".join([str(i) for i in text]))
# Défile la fenêtre jusqu'en bas
self.verticalScrollBar().setValue(self.verticalScrollBar().maximum())
self.app.processEvents()
# Arrête le programme si la fenêtre est fermée
def closeEvent(self, *args, **kwargs):
exit()
# Permet la séléction des matières à télécharger, éxécute ensuite la fonction startDownload de l'application
class Selection(QWidget):
def __init__(self, app: App, out: dict):
super().__init__()
self.out = out
self.app = app
self._layout = QGridLayout()
self.checkBoxes = []
self.setWindowTitle("Sélection")
self.setMinimumWidth(600)
# Botton correspondant aux différentes matières
for (i, j) in enumerate(list(out)):
checkBox = QCheckBox()
checkBox.setText(j)
self.checkBoxes.append(checkBox)
self._layout.addWidget(checkBox)
# Valide la séléction de matières
self.WSubmit = QPushButton("Valider")
self.WSubmit.clicked.connect(self.submit)
# Valide toutes les matières
self.WSelectAll = QPushButton("Tout sélectionner")
self.WSelectAll.clicked.connect(self.submitAll)
# Quit le programme
self.WCancel = QPushButton("Annuler")
self.WCancel.clicked.connect(exit)
self._layout.addWidget(self.WSelectAll)
self._layout.addWidget(self.WCancel)
self._layout.addWidget(self.WSubmit)
self.setLayout(self._layout)
# Valide la séléction de matières
def submit(self):
out = {}
for i in self.checkBoxes:
if i.isChecked():
out[i.text()] = self.out[i.text()]
self.destroy(True)
self.app.startDownload(out)
# Valide toutes les matières
def submitAll(self):
self.destroy(True)
self.app.startDownload(self.out)
# Arrête le programme si la fenêtre est fermée
def closeEvent(self, *args, **kwargs):
exit()
# Icon pour la fenêtre de l'application
iconUri = "data:image/png;base64,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"
App()