643 lines
28 KiB
Python
Executable File
643 lines
28 KiB
Python
Executable File
import copy
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import sys
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import os
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from .detection import language_detector, script_det
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from conversion.translation.translation_function import translate_comparison, ui_option3_and_4, convert_to_pdf, translate_comparison2
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from conversion.translation.translation_variables import get_doc_file, get_pdf_save_dir, is_in_translation_list, \
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get_language_script_code, script_dict, language_script, code_2_language, language_2_code
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from conversion.translation.final_transliteration_only2 import makeTransliteration_only, add_dual_dialogue
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from MNF.settings import BasePath
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from mnfapp.models import MNFScriptDatabase, ScriptTranslations
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from centralisedFileSystem.models import Script
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from django.core.files.base import ContentFile
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from scriptAudit.models import ScriptAuditModel, States
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from scriptAudit.mnf_script_audit import NeutralAudit
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basePath = BasePath()
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def ScriptTranslation(*args, **kwargs):
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"""
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Translates a file using a audited dataframe
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:param args:
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:param kwargs:
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:return None:
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"""
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# args
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# 0 - full_dialogue_option_choices
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# 1 - sentence_dialogue_option_choices
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# 2 - sluglines and other choices
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# kwargs
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# dataframe -
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# non_dial_src_lang -
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# non_dial_src_script -
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# non_dial_dest_lang -
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# non_dial_dest_script -
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# dial_src_lang -
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# dial_src_script -
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# dial_dest_lang -
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# dial_dest_script -
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# script_id -
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# translation_id
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translation_instance = ScriptTranslations.objects.get(translation_id=kwargs['translation_id'])
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original_script = MNFScriptDatabase.objects.get(script_id=kwargs['script_id'])
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# Free 5 Scene
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if translation_instance.free_output:
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breakpoint_5scenes = len(kwargs['dataframe'])
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scene = 0
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for idx, line in enumerate(kwargs['dataframe']):
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if line[3] == "slugline":
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scene += 1
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if scene > 5:
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breakpoint_5scenes = idx
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break
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dataframe = copy.deepcopy(kwargs['dataframe'][:breakpoint_5scenes])
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# creating a copy of original dataframe
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translated_dataframe = copy.deepcopy(dataframe)
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else:
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dataframe = copy.deepcopy(kwargs['dataframe'])
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# creating a copy of original dataframe
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translated_dataframe = copy.deepcopy(dataframe)
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for index, data in enumerate(translated_dataframe):
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if data[3] == 'action':
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if kwargs['non_dial_src_lang'] != kwargs['non_dial_dest_lang']:
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translated_dataframe[index][2] = translate_comparison2(data[2], kwargs['non_dial_src_lang'],
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kwargs['non_dial_dest_lang'])
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current_lang = kwargs['non_dial_dest_lang']
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current_script = language_script[code_2_language[kwargs['non_dial_dest_lang']]]
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else:
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current_lang = kwargs['non_dial_src_lang']
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current_script = kwargs['non_dial_src_script']
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if current_script != kwargs['non_dial_dest_script']:
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kwargs2 = {
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"dest_script": kwargs['non_dial_dest_script'],
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"dual_dial_script": "No",
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"line": str(data[2]),
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"lang": current_lang,
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"src_script": current_script,
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}
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translated_dataframe[index][2] = makeTransliteration_only(**kwargs2)
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elif data[3] == 'dialogue':
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line_language = language_detector(data[2])
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line_script = script_det(data[2])
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# case 1
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if line_language == kwargs['dial_dest_lang'] and line_script == kwargs['dial_dest_script']:
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if args[0][0]:
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translated_dataframe[index][2] = translate_comparison2(data[2], line_language,
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kwargs['dial_dest_lang'], kwargs,
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args[1], True)
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current_script = script_det(data[2])
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if args[0][1] and current_script != kwargs['dial_dest_script']:
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kwargs2 = {
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"dest_script": kwargs['dial_dest_script'],
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"dual_dial_script": "No",
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"line": str(data[2]),
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"lang": line_language,
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"src_script": current_script,
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}
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translated_dataframe[index][2] = makeTransliteration_only(**kwargs2)
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# case 2
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elif line_language == kwargs['dial_dest_lang'] and line_script == kwargs['non_dial_dest_script']:
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if args[0][2]:
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translated_dataframe[index][2] = translate_comparison2(data[2], line_language,
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kwargs['dial_dest_lang'], kwargs,
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args[1], True)
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current_script = script_det(data[2])
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if args[0][3] and current_script != kwargs['dial_dest_script']:
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kwargs2 = {
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"dest_script": line_script,
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"dual_dial_script": "No",
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"line": str(data[2]),
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"lang": line_language,
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"src_script": current_script,
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}
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translated_dataframe[index][2] = makeTransliteration_only(**kwargs2)
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elif not args[0][3] and current_script != kwargs['non_dial_dest_script']:
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kwargs2 = {
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"dest_script": kwargs['non_dial_dest_script'],
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"dual_dial_script": "No",
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"line": str(data[2]),
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"lang": line_language,
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"src_script": current_script,
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}
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translated_dataframe[index][2] = makeTransliteration_only(**kwargs2)
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# case 3
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elif line_language == kwargs['non_dial_src_lang'] and line_script == kwargs['dial_dest_script']:
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if args[0][4]:
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translated_dataframe[index][2] = translate_comparison2(data[2], line_language,
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kwargs['dial_dest_lang'], kwargs,
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args[1], True)
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current_lang = language_detector(data[2])
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current_script = script_det(data[2])
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if current_script != kwargs['dial_dest_script']:
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kwargs2 = {
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"dest_script": kwargs['dial_dest_script'],
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"dual_dial_script": "No",
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"line": str(data[2]),
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"lang": current_lang,
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"src_script": current_script,
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}
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translated_dataframe[index][2] = makeTransliteration_only(**kwargs2)
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# case 4
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elif line_language == kwargs['non_dial_src_lang'] and line_script == kwargs['non_dial_dest_script']:
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if args[0][6]:
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translated_dataframe[index][2] = translate_comparison2(data[2], line_language,
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kwargs['dial_dest_lang'], kwargs,
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args[1], True)
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current_lang = language_detector(data[2])
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current_script = script_det(data[2])
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if args[0][7] and current_script != kwargs['dial_dest_script']:
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kwargs2 = {
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"dest_script": kwargs['dial_dest_script'],
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"dual_dial_script": "No",
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"line": str(data[2]),
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"lang": current_lang,
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"src_script": current_script,
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}
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translated_dataframe[index][2] = makeTransliteration_only(**kwargs2)
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elif not args[0][7] and current_script != kwargs['non_dial_dest_script']:
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kwargs2 = {
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"dest_script": kwargs['non_dial_dest_script'],
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"dual_dial_script": "No",
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"line": str(data[2]),
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"lang": current_lang,
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"src_script": current_script,
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}
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translated_dataframe[index][2] = makeTransliteration_only(**kwargs2)
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# case 5
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elif line_language == kwargs['non_dial_dest_lang'] and line_script == kwargs['dial_dest_script']:
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if args[0][8]:
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translated_dataframe[index][2] = translate_comparison2(data[2], line_language,
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kwargs['dial_dest_lang'], kwargs,
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args[1], True)
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current_lang = language_detector(data[2])
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current_script = script_det(data[2])
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if args[0][9] and current_script != kwargs['dial_dest_script']:
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kwargs2 = {
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"dest_script": kwargs['dial_dest_script'],
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"dual_dial_script": "No",
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"line": str(data[2]),
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"lang": current_lang,
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"src_script": current_script,
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}
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translated_dataframe[index][2] = makeTransliteration_only(**kwargs2)
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elif not args[0][9] and current_script != kwargs['non_dial_dest_script']:
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kwargs2 = {
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"dest_script": kwargs['non_dial_dest_script'],
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"dual_dial_script": "No",
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"line": str(data[2]),
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"lang": current_lang,
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"src_script": current_script,
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}
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translated_dataframe[index][2] = makeTransliteration_only(**kwargs2)
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# case 6
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elif line_language == kwargs['non_dial_dest_lang'] and line_script == kwargs['non_dial_dest_script']:
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if args[0][10]:
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translated_dataframe[index][2] = translate_comparison2(data[2], line_language,
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kwargs['dial_dest_lang'], kwargs,
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args[1], True)
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current_lang = language_detector(data[2])
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current_script = script_det(data[2])
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if args[0][11] and current_script != kwargs['dial_dest_script']:
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kwargs2 = {
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"dest_script": kwargs['dial_dest_script'],
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"dual_dial_script": "No",
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"line": str(data[2]),
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"lang": current_lang,
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"src_script": current_script,
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}
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translated_dataframe[index][2] = makeTransliteration_only(**kwargs2)
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elif not args[0][11] and current_script != kwargs['non_dial_dest_script']:
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kwargs2 = {
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"dest_script": kwargs['non_dial_dest_script'],
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"dual_dial_script": "No",
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"line": str(data[2]),
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"lang": current_lang,
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"src_script": current_script,
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}
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translated_dataframe[index][2] = makeTransliteration_only(**kwargs2)
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# case 7
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else:
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if args[0][12]:
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translated_dataframe[index][2] = translate_comparison2(data[2], line_language,
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kwargs['dial_dest_lang'], kwargs,
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args[1], True)
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current_lang = kwargs['dial_dest_lang']
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current_script = language_script[code_2_language[current_lang]]
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else:
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current_lang = line_language
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current_script = line_script
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if args[0][13] and current_script != kwargs['dial_dest_script']:
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kwargs2 = {
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"dest_script": kwargs['dial_dest_script'],
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"dual_dial_script": "No",
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"line": str(data[2]),
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"lang": current_lang,
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"src_script": current_script,
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}
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translated_dataframe[index][2] = makeTransliteration_only(**kwargs2)
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elif not args[0][13] and current_script != line_script:
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kwargs2 = {
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"dest_script": line_script,
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"dual_dial_script": "No",
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"line": str(data[2]),
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"lang": current_lang,
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"src_script": current_script,
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}
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translated_dataframe[index][2] = makeTransliteration_only(**kwargs2)
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elif data[3] == 'slugline':
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if args[2][0]:
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translated_dataframe[index][2] = translate_comparison2(data[2], kwargs['non_dial_src_lang'],
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kwargs['non_dial_dest_lang'])
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line_language = kwargs['non_dial_dest_lang']
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line_script = language_script[code_2_language[kwargs['non_dial_dest_lang']]]
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else:
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line_language = kwargs['non_dial_src_lang']
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line_script = kwargs['non_dial_src_script']
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if args[2][1]:
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if line_script != kwargs['non_dial_dest_script']:
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kwargs2 = {
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"dest_script": kwargs['non_dial_dest_script'],
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"dual_dial_script": "No",
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"line": str(data[2]),
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"lang": line_language,
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"src_script": line_script,
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}
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translated_dataframe[index][2] = makeTransliteration_only(**kwargs2)
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else:
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if line_script != kwargs['non_dial_src_script']:
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kwargs2 = {
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"dest_script": kwargs['non_dial_src_script'],
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"dual_dial_script": "No",
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"line": str(data[2]),
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"lang": line_language,
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"src_script": line_script,
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}
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translated_dataframe[index][2] = makeTransliteration_only(**kwargs2)
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elif data[3] == 'parenthetical':
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if args[2][2]:
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translated_dataframe[index][2] = translate_comparison2(data[2], kwargs['non_dial_src_lang'],
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kwargs['non_dial_dest_lang'])
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line_language = kwargs['non_dial_dest_lang']
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line_script = language_script[code_2_language[kwargs['non_dial_dest_lang']]]
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else:
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line_language = kwargs['non_dial_src_lang']
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line_script = kwargs['non_dial_src_script']
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if args[2][3]:
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if line_script != kwargs['non_dial_dest_script']:
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kwargs2 = {
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"dest_script": kwargs['non_dial_dest_script'],
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"dual_dial_script": "No",
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"line": str(data[2]),
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"lang": line_language,
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"src_script": line_script,
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}
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translated_dataframe[index][2] = makeTransliteration_only(**kwargs2)
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else:
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if line_script != kwargs['non_dial_src_script']:
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kwargs2 = {
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"dest_script": kwargs['non_dial_src_script'],
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"dual_dial_script": "No",
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"line": str(data[2]),
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"lang": line_language,
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"src_script": line_script,
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}
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translated_dataframe[index][2] = makeTransliteration_only(**kwargs2)
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# here only transliteration will happen and not translation
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elif data[3] == 'speaker':
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# if args[2][4]:
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#
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# translated_dataframe[index][2] = translate_comparison2(data[2], kwargs['non_dial_src_lang'],
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# kwargs['non_dial_dest_lang'])
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# line_language = kwargs['non_dial_dest_lang']
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# line_script = language_script(kwargs['non_dial_dest_lang'])
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#
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# else:
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line_language = kwargs['non_dial_src_lang']
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line_script = kwargs['non_dial_src_script']
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if args[2][5]:
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if line_script != kwargs['non_dial_dest_script']:
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kwargs2 = {
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"dest_script": kwargs['non_dial_dest_script'],
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"dual_dial_script": "No",
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"line": str(data[2]),
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"lang": line_language,
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"src_script": line_script,
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}
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translated_dataframe[index][2] = makeTransliteration_only(**kwargs2)
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else:
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if line_script != kwargs['non_dial_src_script']:
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kwargs2 = {
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"dest_script": kwargs['non_dial_src_script'],
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"dual_dial_script": "No",
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"line": str(data[2]),
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"lang": line_language,
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"src_script": line_script,
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}
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translated_dataframe[index][2] = makeTransliteration_only(**kwargs2)
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elif data[3] == 'transition':
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if args[2][6]:
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translated_dataframe[index][2] = translate_comparison2(data[2], kwargs['non_dial_src_lang'],
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kwargs['non_dial_dest_lang'])
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line_language = kwargs['non_dial_dest_lang']
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line_script = language_script[code_2_language[kwargs['non_dial_dest_lang']]]
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else:
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line_language = kwargs['non_dial_src_lang']
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line_script = kwargs['non_dial_src_script']
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if args[2][7]:
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if line_script != kwargs['non_dial_dest_script']:
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kwargs2 = {
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"dest_script": kwargs['non_dial_dest_script'],
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"dual_dial_script": "No",
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"line": str(data[2]),
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"lang": line_language,
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"src_script": line_script,
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}
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translated_dataframe[index][2] = makeTransliteration_only(**kwargs2)
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else:
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if line_script != kwargs['non_dial_src_script']:
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kwargs2 = {
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"dest_script": kwargs['non_dial_src_script'],
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"dual_dial_script": "No",
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"line": str(data[2]),
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"lang": line_language,
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"src_script": line_script,
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}
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translated_dataframe[index][2] = makeTransliteration_only(**kwargs2)
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elif data[3] == 'special_term':
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if args[2][8]:
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translated_dataframe[index][2] = translate_comparison2(data[2], kwargs['non_dial_src_lang'],
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kwargs['non_dial_dest_lang'])
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line_language = kwargs['non_dial_dest_lang']
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line_script = language_script[code_2_language[kwargs['non_dial_dest_lang']]]
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else:
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line_language = kwargs['non_dial_src_lang']
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line_script = kwargs['non_dial_src_script']
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if args[2][9]:
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if line_script != kwargs['non_dial_dest_script']:
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kwargs2 = {
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"dest_script": kwargs['non_dial_dest_script'],
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"dual_dial_script": "No",
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"line": str(data[2]),
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"lang": line_language,
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"src_script": line_script,
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}
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translated_dataframe[index][2] = makeTransliteration_only(**kwargs2)
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else:
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if line_script != kwargs['non_dial_src_script']:
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kwargs2 = {
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"dest_script": kwargs['non_dial_src_script'],
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"dual_dial_script": "No",
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"line": str(data[2]),
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"lang": line_language,
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"src_script": line_script,
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}
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translated_dataframe[index][2] = makeTransliteration_only(**kwargs2)
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# if dual_dial_script == "Yes":
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if translation_instance.dual_dial_script:
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converted_file = add_dual_dialogue(translated_dataframe, kwargs['dataframe'], kwargs['non_dial_dest_lang'],
|
|
kwargs['dial_dest_lang'], translation_instance.dual_dial_script,
|
|
language_2_code[translation_instance.left_dual_dial_lang],
|
|
translation_instance.left_dual_dial_script)
|
|
else:
|
|
converted_file = add_dual_dialogue(translated_dataframe, kwargs['dataframe'], kwargs['non_dial_dest_lang'],
|
|
kwargs['dial_dest_lang'], translation_instance.dual_dial_script)
|
|
|
|
# sample_title = original_script.script_title
|
|
|
|
if original_script.sample_script:
|
|
data = [kwargs['dial_src_lang'], kwargs['non_dial_src_lang'], kwargs['non_dial_dest_lang'],
|
|
kwargs['dial_src_script'], kwargs['dial_dest_script'], kwargs['non_dial_src_script'],
|
|
kwargs['non_dial_dest_script'], original_script.sample_id.script_title]
|
|
else:
|
|
data = []
|
|
|
|
|
|
doc_file = get_doc_file(kwargs['dial_dest_lang'], basePath + "/media/" + original_script.script.name, data)
|
|
print("Doc Name", doc_file, data)
|
|
|
|
if not os.path.exists(f'{basePath}/media/scripts/translated'):
|
|
os.makedirs(f'{basePath}/media/scripts/translated', mode=0o777)
|
|
|
|
|
|
# Saving the New Translated Doc File
|
|
if (translation_instance != None):
|
|
if original_script.sample_script:
|
|
print(doc_file)
|
|
# if dual_dial_script != "Yes":
|
|
# converted_df = pd.DataFrame(converted_df,
|
|
# columns=['dataframe', 'para_no', 'content', 'script_element'])
|
|
# print("Translated and Transliterated DF is", converted_df)
|
|
# converted_file = csv_to_docx(converted_df)
|
|
|
|
converted_file.save(doc_file)
|
|
print("convert to pdf called", "and it is inside sample script translations")
|
|
# convert_to_pdf(doc_file, "/".join((doc_file.split("/"))[:-1]))
|
|
# os.remove(doc_file)
|
|
saveFile = doc_file.split('.')[0] + ".pdf"
|
|
translation_instance.translated_script_path = "/media/" + str(doc_file.split('media')[1])
|
|
# translation_instance.translated_script_pdf = "/media/" + str(saveFile.split('media')[1])
|
|
translation_instance.save()
|
|
return saveFile
|
|
|
|
# if dual_dial_script != "Yes":
|
|
# converted_df = pd.DataFrame(converted_df, columns=['dataframe', 'para_no', 'content', 'script_element'])
|
|
# print("Translated and Transliterated DF is", converted_df)
|
|
# converted_file = csv_to_docx(converted_df)
|
|
|
|
converted_file.save(doc_file)
|
|
# convert_to_pdf(doc_file, get_pdf_save_dir())
|
|
saveFile = doc_file.split('.')[0] + ".pdf"
|
|
translation_instance.translated_script_path = "/media/" + str(doc_file.split('media')[1])
|
|
# translation_instance.translated_script_pdf = "/media/" + str(saveFile.split('media')[1])
|
|
translation_instance.status = "Translated"
|
|
translation_instance.save()
|
|
# return saveFile
|
|
# print("saved done go to ")
|
|
original_stdout = sys.stdout
|
|
"""code for saving translated df into script pad for editing"""
|
|
if not original_script.sample_script:
|
|
'''
|
|
saving the converted df to script_csv of the centralised file System
|
|
'''
|
|
# audited_file_name = "audit_translated.docx"
|
|
# converted_df2 = pd.DataFrame(converted_df,
|
|
# columns=['dataframe', 'para_no', 'content', 'script_element'])
|
|
# converted_df2.to_csv("/home/user/mnf/project/MNF/conversion/translation/translated/test_csv.csv")
|
|
# audited_docx = csv_to_docx(converted_df2)
|
|
# audited_
|
|
# req_file = ContentFile(
|
|
# doc_file,
|
|
# (doc_file.split("/"))[-1],
|
|
# )
|
|
# try:
|
|
# print("inside try of script_csv saving")
|
|
# existing_file = File.objects.get(type="script-original", script_id=audited_id)
|
|
# existing_file.file = req_file
|
|
# existing_file.save()
|
|
# print("script-csv saved in the models")
|
|
# except Exception as exp:
|
|
# print("Con-Aud Exception = ", exp)
|
|
# print("this doesnt work much :(")
|
|
# File.objects.update(
|
|
# script=Script.objects.get(id=audited_id), # audied_id
|
|
# type="script-csv",
|
|
# file=req_file,
|
|
# )
|
|
# print("----> Script id from conv-aud is here=", audited_id).
|
|
existing_script = kwargs["iteration_no"]
|
|
if existing_script:
|
|
audit_name = str(
|
|
((doc_file.split("/"))[-1]).split(".")[0]) + f"_{kwargs['iteration_no']}"
|
|
else:
|
|
audit_name = str(((doc_file.split("/"))[-1]).split(".")[0])
|
|
from utils import filesystem
|
|
file = ContentFile(
|
|
open(doc_file, 'rb').read(),
|
|
(doc_file.split("/"))[-1],
|
|
)
|
|
language_code = "en"
|
|
# result = filesystem.new_screenplay(
|
|
# request.user,
|
|
# request.user.username,
|
|
# audit_name,
|
|
# file,
|
|
# "script-original",
|
|
# language_code,
|
|
# )
|
|
result = filesystem.new_screenplay_without_audit_in_background(
|
|
kwargs['user'],
|
|
kwargs['user'].username,
|
|
str(audit_name),
|
|
file,
|
|
"script-original",
|
|
language_code,
|
|
)
|
|
audit_id = result.get("script", {}).get("id")
|
|
ScriptAuditModel.objects.update_or_create(
|
|
script=Script.objects.get(
|
|
id=audit_id
|
|
),
|
|
defaults={"status": States.STARTED}
|
|
)
|
|
audit = NeutralAudit(audit_id, False)
|
|
status = ScriptAuditModel.objects.get(
|
|
script=Script.objects.get(
|
|
id=audit_id
|
|
)
|
|
)
|
|
try:
|
|
audit.audit()
|
|
status.status = "SUCCESS"
|
|
status.save()
|
|
except:
|
|
status.status = "FAILURE"
|
|
status.save()
|
|
|
|
print("----> Script id from conv-aud is here=", audit_id)
|
|
translation_instance.converted_audit_id = audit_id
|
|
translation_instance.save()
|
|
sys.stdout = original_stdout
|
|
return saveFile |