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199 lines
7.3 KiB
199 lines
7.3 KiB
#!/usr/bin/python3
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import pyamf
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import shutil
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import json
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import os
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import argparse
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import unicodedata
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import random
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import re
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import sys
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import readline
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DATA_DIR = os.environ['XDG_DATA_HOME'] + '/klette'
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VOKABELN_FILE = DATA_DIR + '/vokabeln.json'
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STATUS_FILE = DATA_DIR + '/status.json'
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AUDIO_BASE = DATA_DIR + '/audio/'
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class bcolors:
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HEADER = '\033[95m'
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OKBLUE = '\033[94m'
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OKCYAN = '\033[96m'
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OKGREEN = '\033[92m'
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WARNING = '\033[93m'
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FAIL = '\033[91m'
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ENDC = '\033[0m'
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BOLD = '\033[1m'
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UNDERLINE = '\033[4m'
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LINK_START = '\033]8;;'
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LINK_MIDDLE = '\033\\'
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LINK_END = '\033]8;;\033\\'
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def import_vokabeln(file_name, audio_base):
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os.makedirs(AUDIO_BASE, exist_ok=True)
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palabras = []
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with open(file_name, 'rb') as reader:
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obj = pyamf.decode(reader.read())
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for unidad_data in obj.readElement()['lektionList']:
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unidad = unidad_data['name']
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for paso_data in unidad_data['lektionsTeilList']:
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paso = paso_data['name']
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for palabra in paso_data['entryList']:
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audio = palabra['vorderSeite']['swTonAbgleichwort']
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palabras.append({
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'id': palabra['matId'],
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'de': palabra['rueckSeite']['text'],
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'es': palabra['vorderSeite']['text'],
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'audio': audio,
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'unidad': unidad,
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'paso': paso
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})
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shutil.copy2(audio_base + audio + '.bin',
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AUDIO_BASE + audio + '.aac')
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with open(VOKABELN_FILE, 'x') as writer:
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writer.write(json.dumps(palabras))
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def import_status(file_name):
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os.makedirs(DATA_DIR, exist_ok=True)
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statuses = {}
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with open(file_name, 'rb') as reader:
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obj = pyamf.decode(reader.read()).readElement()[0]
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for idx in obj:
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item = obj[idx]
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statuses[item['matId']] = item['statusWortschatz']
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with open(STATUS_FILE, 'x') as writer:
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writer.write(json.dumps(statuses))
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def vergleiche(respuesta, expecta):
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if respuesta == "": return 4
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if respuesta[0] == '!' and expecta[0] == '¡':
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respuesta = '¡' + respuesta[1:]
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if respuesta[0] == '?' and expecta[0] == '¿':
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respuesta = '¿' + respuesta[1:]
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respuesta = unicodedata.normalize('NFD', respuesta)
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expecta = unicodedata.normalize('NFD', expecta)
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if respuesta == expecta: return 0
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respuesta = respuesta.encode('ASCII', 'ignore').decode('ASCII')
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expecta = expecta.encode('ASCII', 'ignore').decode('ASCII')
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if respuesta == expecta: return 1
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respuesta = respuesta.casefold()
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expecta = expecta.casefold()
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if respuesta == expecta: return 2
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respuesta = re.sub('\W', '', respuesta)
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expecta = re.sub('\W', '', expecta)
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if respuesta == expecta: return 3
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return 4
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assert vergleiche("e", "e") == 0
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assert vergleiche("é", "e") == 1
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assert vergleiche("Bien", "bien") == 2
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assert vergleiche("quétal", "Qué tal") == 3
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assert vergleiche("Buenas Noches", "¡Buenas noches!") == 3
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class Resultado:
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BIEN = 1
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MAL = 2
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ADIOS = 3
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def einzelne_abfrage(palabra, status):
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status_text = f"({status})" if status > 0 else f"{bcolors.OKGREEN}neu{bcolors.ENDC}"
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try:
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respuesta = input(f"{status_text} {bcolors.BOLD}{palabra['de']}{bcolors.ENDC} {bcolors.OKCYAN}")
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except EOFError:
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print()
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return Resultado.ADIOS
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finally:
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print(bcolors.ENDC, end="")
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print('\033[{}C\033[1A'.format(4 + len(palabra['de']) + 1 + len(respuesta)), end="")
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resultado = vergleiche(respuesta, palabra['es'])
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match status:
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case 0: bien = resultado < 4
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case 1: bien = resultado < 3
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case 2: bien = resultado < 3
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case 3: bien = resultado < 2
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case 4: bien = resultado < 1
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print(f" {bcolors.LINK_START}file://{AUDIO_BASE}{palabra['audio']}.aac{bcolors.LINK_MIDDLE}",end="")
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if bien and resultado == 0:
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print(f"{bcolors.OKGREEN}✓{bcolors.ENDC}",end="")
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elif bien:
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print(f"{bcolors.WARNING}{palabra['es']}{bcolors.ENDC}",end="")
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else:
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print(f"{bcolors.FAIL}{palabra['es']}{bcolors.ENDC}",end="")
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print(bcolors.LINK_END,end="")
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try:
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input(" ")
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except EOFError:
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print()
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return Resultado.ADIOS
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return Resultado.BIEN if bien else Resultado.MAL
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def abfrage(parser):
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random.seed()
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try:
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with open(VOKABELN_FILE, 'r') as f:
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palabras = json.load(f)
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with open(STATUS_FILE, 'r') as f:
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status = json.load(f)
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except FileNotFoundError:
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print(f"{bcolors.FAIL}Daten können nicht geladen werden, hast du sie schon importiert?{bcolors.ENDC}")
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print()
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parser.print_help()
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return
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unidad = False
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paso = False
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cur_palabras = False
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bien = 0
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mal = 0
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for palabra in palabras:
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if paso != palabra['paso']:
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if cur_palabras != False:
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c = [len(cur_palabras[x]) for x in cur_palabras]
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print(f"{bcolors.BOLD}{unidad}{bcolors.ENDC}: {paso} (",end="")
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print(*c, sep="/", end=")")
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print()
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for n in range(5): # 1..4, no 5
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random.shuffle(cur_palabras[n])
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for palabra in cur_palabras[n]:
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s = status.get(palabra['id'], 0)
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match einzelne_abfrage(palabra, s):
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case Resultado.BIEN:
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status[palabra['id']] = s + 1
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bien+=1
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case Resultado.MAL:
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if s > 0:
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status[palabra['id']] = s - 1
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mal+=1
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continue
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case Resultado.ADIOS:
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print(f'{bcolors.OKGREEN}+{bien}{bcolors.ENDC} / {bcolors.FAIL}-{mal}{bcolors.ENDC}')
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return
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with open(STATUS_FILE + '.new', 'w') as f:
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json.dump(status, f)
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f.flush()
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os.fsync(f.fileno())
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with open(STATUS_FILE + '.new', 'r') as f:
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status = json.load(f)
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os.replace(STATUS_FILE + '.new', STATUS_FILE)
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cur_palabras = {0: [], 1: [], 2: [], 3: [], 4: [], 5: []}
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unidad = palabra['unidad']
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paso = palabra['paso']
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cur_palabras[status.get(palabra['id'], 0)].append(palabra)
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parser = argparse.ArgumentParser()
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default_data_file = os.environ['PWD'] + '/assets/amf/vokabelTrainer147.amf'
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parser.add_argument('--import-data', type=str, help="Path to assets", metavar="DIR")
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default_status_file = os.environ['HOME'] + '/klett/1266/vokabeltrainerData147'
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parser.add_argument('--import-status', type=str, help="Path to AMF File, defaults to " + default_status_file, metavar="FILE", nargs='?', const=default_status_file)
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args = parser.parse_args()
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if args.import_data:
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import_vokabeln(args.import_data + '/amf/vokabelTrainer147.amf',
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args.import_data + '/amf/medium/')
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elif args.import_status:
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import_status(args.import_status)
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else:
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abfrage(parser)
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