563 lines
28 KiB
Python
563 lines
28 KiB
Python
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import fitz
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from datetime import datetime
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import PyPDF2
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import os
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import subprocess
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from subprocess import Popen
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# from narration.vectorcode.code.functions import ScriptBreakdown
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import copy
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from .detection import language_detector
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from conversion.translation.script_reading import breaksen, getRefined, getSlugAndNonSlug, getSpeakers, getScenes
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from conversion.translation.script_writing import addSlugLine, addActionLine, addSpeaker, addParenthetical, addDialogue, dual_script, addTransition, dial_checker, non_dial_checker
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from conversion.translation.translation_function import translate_comparison, ui_option3_and_4, convert_to_pdf
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from conversion.translation.translation_variables import get_doc_file, get_pdf_save_dir, is_in_translation_list, get_language_script_code
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from conversion.translation.final_transliteration_only2 import makeTransliteration_only, add_dual_dialogue
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from utils.utilities import csv_to_docx
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from conversion.translation.translation_resources import google
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from MNF.settings import BasePath
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# from page_script.models import MNFScriptDatabase_2, Conversions, Conversion_link
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from mnfapp.models import MNFScriptDatabase, ScriptTranslations
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from tqdm import tqdm
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import pandas as pd
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import docx
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basePath = BasePath()
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from centralisedFileSystem.models import File, Script, ScreenPlay
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from django.core.files.base import ContentFile
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def translate_function(request, audited_id , dataframe, script_path, script_id, translation_id, dial_src_lang, action_line_src_lang, dial_src_script, restrict_to_five, option3, option4, option5, option6, centralised="no",sample_id="0000",sample_title="", existing_script=None):
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# -> These are Global Booleans Variables
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is_action_line_translation_required = False
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is_action_line_transliteration_required = False
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is_dialogue_translation_required = False
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is_dialogue_transliteration_required = False
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skip_translation_action_line = False
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skip_translation_dialogue = False
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# -> Extracting information from DB
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if centralised == "yes":
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z = Conversion_link.objects.get(
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script_name=MNFScriptDatabase_2.objects.get(script_id=script_id))
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objs = z.conversions.all()
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for indx, obji in enumerate(objs):
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if indx == len(objs) - 1:
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obj = obji
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else:
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pass
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action_line_dest_lang = obj.nondial_dest_language
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dial_dest_lang = obj.dial_dest_language
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dual_dial_script = obj.dual_dial_script
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dial_dest_script = obj.dial_dest_script
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action_line_src_script = obj.nondial_src_script
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action_line_dest_script = obj.nondial_dest_script
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data = [str(MNFScriptDatabase_2.objects.get(script_id=script_id).user_id), str(
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MNFScriptDatabase_2.objects.get(script_id=script_id).script_name), str(script_id), str(dial_src_lang)]
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else:
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try:
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translation_instance = ScriptTranslations.objects.get(translation_id = str(translation_id))
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dial_dest_lang = translation_instance.dial_dest_language
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dial_dest_script = translation_instance.dial_dest_script
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action_line_dest_lang = translation_instance.nondial_dest_language
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action_line_dest_script = translation_instance.nondial_dest_script
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except:
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pass
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user_script_data = MNFScriptDatabase.objects.get(
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script_id=str(script_id))
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# action_line_dest_lang = user_script_data.nondial_dest_language
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# dial_dest_lang = user_script_data.dial_dest_language
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dual_dial_script = translation_instance.dual_dial_script
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# dial_dest_script = user_script_data.dial_dest_script
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action_line_src_script = user_script_data.nondial_src_script
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# action_line_dest_script = user_script_data.nondial_dest_script
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data = [user_script_data.dial_src_language, user_script_data.nondial_src_language, action_line_dest_lang, user_script_data.dial_src_script, translation_instance.dial_dest_script, user_script_data.nondial_src_script,translation_instance.nondial_dest_script]
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# -> Creating Doc instance
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doc = docx.Document()
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doc_file = get_doc_file(dial_dest_lang, script_path, sample_id,sample_title, centralised, data)
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original_script_path = script_path
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print("Doc Name: ", doc_file)
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original_doc_file_name = doc_file
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print("get_language_script_code(dial_src_lang)-> ",
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get_language_script_code(dial_src_lang))
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print("dial_src_script->", dial_src_script)
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# -> Setting of Global Variables (dial_src_script is average of scripts of all languages and same
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# for action_line_src_script)
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if dial_src_lang != dial_dest_lang and dial_src_script != get_language_script_code(dial_src_lang):
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is_dialogue_transliteration_required = True
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if action_line_src_lang != action_line_dest_lang and action_line_src_script != get_language_script_code(
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action_line_src_lang):
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is_action_line_transliteration_required = True
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if action_line_src_lang != action_line_dest_lang:
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is_action_line_translation_required = True
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else:
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skip_translation_action_line = True
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if dial_src_lang != dial_dest_lang:
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is_dialogue_translation_required = True
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else:
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skip_translation_dialogue = True
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# -> This Transliteration will transliterate only when the script of the dialogues or actionlines is different from
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# the default script of (language of dialogues) (kindof removing transliteration for the translation to happen
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# smoothly if script of dialogues is different from its original default script of dialogues)
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print("Actionlines Data ->", action_line_src_lang, action_line_dest_lang, action_line_src_script, action_line_dest_script)
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print("Dialogues Data ->", dial_src_lang, dial_dest_lang, dial_src_script, dial_dest_script)
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if restrict_to_five == "yes":
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breakpoint_5scenes = len(dataframe)
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scene = 0
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for idx, line in enumerate(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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converted_df = copy.deepcopy(dataframe[:breakpoint_5scenes])
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else:
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converted_df = copy.deepcopy(dataframe)
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# Saving Audited File
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audited_df = pd.DataFrame(dataframe,
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columns=['dataframe', 'para_no', 'content', 'script_element'])
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audited_file = csv_to_docx(audited_df)
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audited_file.save(f"{(doc_file.split('.'))[0]}_audited.docx")
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for idx, line in enumerate(converted_df):
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"""Step One"""
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if is_dialogue_transliteration_required or is_action_line_transliteration_required:
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print("Step One Started")
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if line[3] in ["action", "dialogue"]:
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# kwargs = {
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# "dial_dest_script": get_language_script_code(dial_src_lang),
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# "dual_dial_script": "No",
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# "original_lines": dataframe,
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# "dial_dest_lang": dial_src_lang,
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# "is_dialogue_transliteration_required": is_dialogue_transliteration_required,
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# "is_action_line_transliteration_required": is_action_line_transliteration_required,
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# "action_line_dest_script": get_language_script_code(action_line_src_lang),
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# "action_line_src_lang": action_line_src_lang,
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# "action_line_src_script": action_line_src_script,
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# "restrict_to_five": restrict_to_five
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# }
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if line[3] == "action" and is_action_line_transliteration_required:
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kwargs = {
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"dest_script": get_language_script_code(action_line_src_lang),
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"dual_dial_script": "No",
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"line": str(line[2]),
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"lang": action_line_src_lang,
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"src_script": action_line_src_script,
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}
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print("is_action_line_transliteration_required")
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print("action_line_src_lang:",action_line_src_lang)
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print("lang:",action_line_src_lang)
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print("action_line_src_script",action_line_src_script)
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converted_df[idx][2] = makeTransliteration_only(**kwargs)
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elif line[3] == "dialogue" and is_dialogue_transliteration_required:
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kwargs = {
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"dest_script": get_language_script_code(dial_src_lang),
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"dual_dial_script": "No",
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"line": str(line[2]),
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"lang": dial_src_lang,
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"src_script": dial_src_script,
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}
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print("is_dialogue_transliteration_required")
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print("dial_src_lang:",dial_src_lang)
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print("lang:",dial_src_lang)
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print("dial_src_script",dial_src_script)
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converted_df[idx][2] = makeTransliteration_only(**kwargs)
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"""Step Two"""
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if is_dialogue_translation_required or is_action_line_translation_required:
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print("Step Two Started")
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if line[3] in ["action", "dialogue", "parenthetical"]:
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if line[3] == "action" and is_action_line_translation_required:
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if is_in_translation_list(action_line_src_lang) and is_in_translation_list(action_line_dest_lang):
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converted_df[idx][2] = translate_comparison(
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str(line[2]), action_line_src_lang, action_line_dest_lang)
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else:
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converted_df[idx][2] = str(line[2])
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elif line[3] == "dialogue" and is_dialogue_translation_required:
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dial_lang = language_detector(str(line[2]))
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if dial_lang == action_line_src_lang:
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converted_df[idx][2] = ui_option3_and_4(dial_lang, dial_dest_lang, str(line[2]), option3, "No")
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elif dial_lang != action_line_src_lang and dial_lang != dial_dest_lang:
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print("in case ui4")
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converted_df[idx][2] = ui_option3_and_4(dial_lang, dial_dest_lang, str(line[2]), option4, "No")
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elif line[3] == "parenthetical" and is_dialogue_translation_required:
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par_lang = language_detector(str(line[2]))
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if dial_dest_lang == par_lang:
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converted_df[idx][2] = str(line[2])
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else:
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converted_df[idx][2] = translate_comparison(str(line[2]), par_lang, dial_dest_lang)
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"""Step Three"""
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action_line_src_script2 = get_language_script_code(action_line_dest_lang)
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dial_src_script2 = get_language_script_code(dial_dest_lang)
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if dial_src_script2 != dial_dest_script or action_line_src_script2 != action_line_dest_script:
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print("Step Three Started")
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if line[3] in ["action", "dialogue"]:
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if line[3] == "action" and action_line_src_script2 != action_line_dest_script:
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kwargs = {
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"dest_script": action_line_dest_script,
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"dual_dial_script": "No",
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"line": str(line[2]),
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"lang": action_line_dest_lang,
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"src_script": action_line_src_script2,
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}
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converted_df[idx][2] = makeTransliteration_only(**kwargs)
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elif line[3] == "dialogue" and dial_src_script2 != dial_dest_script:
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kwargs = {
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"dest_script": dial_dest_script,
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"dual_dial_script": "No",
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"line": str(line[2]),
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"lang": dial_dest_lang,
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"src_script": dial_src_script2,
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}
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converted_df[idx][2] = makeTransliteration_only(**kwargs)
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elif skip_translation_action_line or skip_translation_dialogue and (
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dial_src_script != dial_dest_script or action_line_src_script != action_line_dest_script):
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if skip_translation_action_line and dial_src_script != dial_dest_script:
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if line[3] == "dialogue":
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kwargs = {
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"dest_script": dial_dest_script,
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"dual_dial_script": "No",
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"line": str(line[2]),
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"lang": dial_dest_lang,
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"src_script": dial_src_script,
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}
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converted_df[idx][2] = makeTransliteration_only(**kwargs)
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elif skip_translation_dialogue and action_line_src_script != action_line_dest_script:
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if line[3] == "action":
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kwargs = {
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"dest_script": action_line_dest_script,
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"dual_dial_script": "No",
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"line": str(line[2]),
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"lang": action_line_dest_lang,
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"src_script": action_line_src_script,
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}
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converted_df[idx][2] = makeTransliteration_only(**kwargs)
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print("Original Dataframe is->", dataframe)
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print("Converted Dataframe is->", converted_df)
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print("Dual dialogue option", dual_dial_script)
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"""Step Four"""
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# if dual_dial_script == "Yes":
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converted_file = add_dual_dialogue(converted_df, dataframe, action_line_dest_lang, dial_dest_lang, dual_dial_script)
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# -> Step one Started
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# if is_dialogue_transliteration_required or is_action_line_transliteration_required:
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# print("Step one Started")
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#
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# kwargs = {
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# "dial_dest_script": get_language_script_code(dial_src_lang),
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# "dual_dial_script": "No",
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# "original_file": dataframe,
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# "dial_dest_lang": dial_src_lang,
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# "is_dialogue_transliteration_required": is_dialogue_transliteration_required,
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# "is_action_line_transliteration_required": is_action_line_transliteration_required,
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# "action_line_dest_script": get_language_script_code(action_line_src_lang),
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# "action_line_src_lang": action_line_src_lang,
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# "action_line_src_script": action_line_src_script,
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# "restrict_to_five": restrict_to_five
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# }
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# if len(sample_title) > 2:
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# kwargs["ignore_because_sample_script"] = True
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# else:
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# kwargs["ignore_because_sample_script"] = False
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# script_path, scenes_original = makeTransliteration_only(**kwargs)
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# print("Step one ended")
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# # -> Step one ended
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# print(doc_file, "step 1")
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# # os.system("cp "+ str(doc_file) + " " + (doc_file.split("."))[0] + "_Step1.docx") -> could be uncommented to
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# # check what changes are made to script as file is getting created at this stage
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#
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# # -> Step two Translation Started
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# if is_dialogue_translation_required or is_action_line_translation_required:
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# print("Step two Translation Started")
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# refined, total_scenes = getRefined(script_path)
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# sluglines, without_slug = getSlugAndNonSlug(refined)
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# characters = getSpeakers(without_slug)
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# scenes, actionline, parenthetical_lis, speakers, dialogues = getScenes(
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# refined, total_scenes, characters)
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# print(scenes, "these are the scenes")
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# # -> Restriction of Number of scenes to Five if user Wants a Sample of Conversion
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# if restrict_to_five == 'yes':
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# scenes = scenes[:5]
|
||
|
|
#
|
||
|
|
# # going over each scene and all its dialogues,actionlines, paranthetical lines, transitions for translation
|
||
|
|
# for scene in tqdm(scenes):
|
||
|
|
# for i, line in enumerate(scene):
|
||
|
|
# if i == 0:
|
||
|
|
# addSlugLine(doc, line)
|
||
|
|
# continue
|
||
|
|
# if isinstance(line, str):
|
||
|
|
# if is_action_line_translation_required:
|
||
|
|
# print("in actionline")
|
||
|
|
# if is_in_translation_list(action_line_src_lang) and is_in_translation_list(action_line_dest_lang):
|
||
|
|
# trans_text = translate_comparison(
|
||
|
|
# line, action_line_src_lang, action_line_dest_lang)
|
||
|
|
# addActionLine(doc, trans_text,
|
||
|
|
# action_line_dest_lang)
|
||
|
|
# else:
|
||
|
|
# addActionLine(doc, line, action_line_dest_lang)
|
||
|
|
# else:
|
||
|
|
# print(
|
||
|
|
# "Adding actionline without translating:else of is_action_line_translation_required")
|
||
|
|
# addActionLine(doc, line, action_line_dest_lang)
|
||
|
|
# else:
|
||
|
|
# [speaker] = line.keys()
|
||
|
|
# if speaker == 'Transition':
|
||
|
|
# addTransition(doc, line[speaker])
|
||
|
|
# continue
|
||
|
|
# addSpeaker(doc, speaker)
|
||
|
|
# if is_dialogue_translation_required:
|
||
|
|
# dial_lang = language_detector(line[speaker][2])
|
||
|
|
# print("dial_lang", dial_lang)
|
||
|
|
#
|
||
|
|
# # paranthetical line Case
|
||
|
|
# if line[speaker][0] != 'NONE':
|
||
|
|
# par_lang = language_detector(line[speaker][0])
|
||
|
|
# if dial_dest_lang == par_lang:
|
||
|
|
# out = line[speaker][0]
|
||
|
|
# else:
|
||
|
|
# out = google(
|
||
|
|
# line[speaker][0], par_lang, dial_dest_lang)
|
||
|
|
# addParenthetical(doc, out)
|
||
|
|
#
|
||
|
|
# # only dialogues
|
||
|
|
# if line[speaker][2] == "":
|
||
|
|
# continue
|
||
|
|
# if dial_lang == action_line_src_lang:
|
||
|
|
# ui_option3_and_4(doc,
|
||
|
|
# dial_lang, dial_dest_lang, line[speaker][2], option3, "No")
|
||
|
|
#
|
||
|
|
# elif dial_lang != action_line_src_lang and dial_lang != dial_dest_lang:
|
||
|
|
# print("in case ui4")
|
||
|
|
# ui_option3_and_4(
|
||
|
|
# doc, dial_lang, dial_dest_lang, line[speaker][2], option4, "No")
|
||
|
|
#
|
||
|
|
# # To be ran when option 5 and 6 are yes(i.e. some word in whole dialogue has different language)
|
||
|
|
# # elif dial_src_lang == dial_dest_lang:
|
||
|
|
# # print("in case ui5_and_6")
|
||
|
|
# # ui_option5_and_6(
|
||
|
|
# # dial_src_lang, dial_dest_lang, line[speaker][2])
|
||
|
|
#
|
||
|
|
# else:
|
||
|
|
# if line[speaker][0] != 'NONE':
|
||
|
|
# print("else mein hain")
|
||
|
|
# addParenthetical(doc, line[speaker][0])
|
||
|
|
# addDialogue(doc, line[speaker][2], dial_dest_lang)
|
||
|
|
# doc.save(doc_file)
|
||
|
|
# if is_dialogue_translation_required:
|
||
|
|
# dial_src_script = get_language_script_code(dial_dest_lang)
|
||
|
|
# if 'scenes_original' not in locals():
|
||
|
|
# scenes_original = scenes
|
||
|
|
# print("Step two translation ended")
|
||
|
|
# # -> Step two translation ended
|
||
|
|
# print(doc_file, "step 2")
|
||
|
|
# # os.system("cp "+ str(doc_file) + " " + (doc_file.split("."))[0] + "_Step2.docx") -> could be uncommented to
|
||
|
|
# # check what changes are made to script as file is getting created at this stage
|
||
|
|
#
|
||
|
|
# # -> Step three transliteration Started
|
||
|
|
# action_line_src_script = get_language_script_code(
|
||
|
|
# action_line_dest_lang)
|
||
|
|
# #action_line_dest_script = "Latin"
|
||
|
|
# print("uiop hui", action_line_src_script, action_line_dest_script)
|
||
|
|
# if dial_src_script != dial_dest_script or action_line_src_script != action_line_dest_script:
|
||
|
|
# kwargs = {
|
||
|
|
# "dial_dest_script": dial_dest_script,
|
||
|
|
# "dual_dial_script": "No",
|
||
|
|
# "dial_dest_lang": dial_src_lang,
|
||
|
|
# "is_dialogue_transliteration_required": False,
|
||
|
|
# "is_action_line_transliteration_required": False,
|
||
|
|
# "action_line_src_script":action_line_src_script,
|
||
|
|
# "action_line_src_lang": action_line_dest_lang,
|
||
|
|
#
|
||
|
|
# }
|
||
|
|
# if len(sample_title) > 2:
|
||
|
|
# kwargs["ignore_because_sample_script"] = True
|
||
|
|
# else:
|
||
|
|
# kwargs["ignore_because_sample_script"] = False
|
||
|
|
# if dial_src_script != dial_dest_script:
|
||
|
|
# kwargs["is_dialogue_transliteration_required"] = True
|
||
|
|
# if action_line_src_script != action_line_dest_script:
|
||
|
|
# kwargs["is_action_line_transliteration_required"] = True
|
||
|
|
# kwargs["action_line_dest_script"] = action_line_dest_script
|
||
|
|
# # -> This the case when only Transliteration is required and step one and two were not ram
|
||
|
|
# if 'scenes_original' not in locals():
|
||
|
|
# print("yeh if mein gaya issliye change hogaya")
|
||
|
|
# kwargs["original_file"] = script_path
|
||
|
|
# doc_file, scenes_original = makeTransliteration_only(**kwargs)
|
||
|
|
# else:
|
||
|
|
# print("yeh else mein gaya issliye change hogaya")
|
||
|
|
# print(doc_file)
|
||
|
|
# kwargs["original_file"] = doc_file
|
||
|
|
# doc_file, scenes_final = makeTransliteration_only(**kwargs)
|
||
|
|
# print("Step three transliteration Ended")
|
||
|
|
# print(doc_file, "step 3")
|
||
|
|
# # os.system("cp "+ str(doc_file) + " " + (doc_file.split("."))[0] + "_Step3.docx") -> could be uncommented to
|
||
|
|
# # check what changes are made to script as file is getting created at this stage
|
||
|
|
#
|
||
|
|
# # -> Step three transliteration Ended
|
||
|
|
#
|
||
|
|
# # -> Step four dual-dialogue Started
|
||
|
|
# kwargs = {
|
||
|
|
# "dial_dest_script": dial_dest_script,
|
||
|
|
# "dual_dial_script": dual_dial_script,
|
||
|
|
# "original_file": doc_file,
|
||
|
|
# "dial_dest_lang": dial_src_lang,
|
||
|
|
# "is_dialogue_transliteration_required": False,
|
||
|
|
# "is_action_line_transliteration_required": False,
|
||
|
|
# "action_line_dest_script": get_language_script_code(action_line_src_lang),
|
||
|
|
# "action_line_src_lang": action_line_src_lang,
|
||
|
|
# "action_line_src_script": action_line_src_script,
|
||
|
|
# "scenes_original": scenes_original,
|
||
|
|
# }
|
||
|
|
# if len(sample_title) > 2:
|
||
|
|
# kwargs["ignore_because_sample_script"] = True
|
||
|
|
# else:
|
||
|
|
# kwargs["ignore_because_sample_script"] = False
|
||
|
|
# doc_file, scenes_final = makeTransliteration_only(**kwargs)
|
||
|
|
# # os.system("cp "+ str(doc_file) + " " + (doc_file.split("."))[0] + "_Step4.docx")# -> could be uncommented to
|
||
|
|
# # check what changes are made to script as file is getting created at this stage
|
||
|
|
# print(doc_file, "step 4")
|
||
|
|
# print("Step four dual-dialogue Ended")
|
||
|
|
# # Step four dual-dialogue Ended
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
# -> Here Goes the Saving of File
|
||
|
|
# -> For Scriptpage Conversion Storing
|
||
|
|
if centralised == "yes":
|
||
|
|
if (obj != None):
|
||
|
|
doc_file = doc_file[1:]
|
||
|
|
folders_path = ""
|
||
|
|
for ii in (doc_file.split("/"))[:-1]:
|
||
|
|
folders_path = folders_path + "/" + str(ii)
|
||
|
|
convert_to_pdf(str(doc_file), str(folders_path))
|
||
|
|
pathspecific = ""
|
||
|
|
for i in (doc_file.split('.'))[:-1]:
|
||
|
|
pathspecific = pathspecific + "." + str(i)
|
||
|
|
saveFile = pathspecific + ".pdf"
|
||
|
|
obj.translated_script_path = saveFile.split('MNF')[1]
|
||
|
|
obj.save()
|
||
|
|
print("saved done go to ")
|
||
|
|
return saveFile
|
||
|
|
else:
|
||
|
|
log.info("Entry for script id in Centralised Database not found")
|
||
|
|
else:
|
||
|
|
if (translation_instance != None):
|
||
|
|
if len(sample_title) > 2:
|
||
|
|
print(sample_title)
|
||
|
|
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, rf'{basePath}/media/scripts/sample_script_translations/{sample_title}/')
|
||
|
|
# os.remove(doc_file)
|
||
|
|
saveFile = doc_file.split('.')[0] + ".pdf"
|
||
|
|
translation_instance.translated_script_path = saveFile.split('MNF')[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 = saveFile.split('MNF')[1]
|
||
|
|
translation_instance.save()
|
||
|
|
# print("saved done go to ")
|
||
|
|
#
|
||
|
|
"""code for saving translated df into script pad for editing"""
|
||
|
|
if not len(sample_title) > 2:
|
||
|
|
'''
|
||
|
|
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).
|
||
|
|
if existing_script:
|
||
|
|
audit_name = str(((doc_file.split("/"))[-1]).split(".")[0]) + f"_{request.session.get('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
|
||
|
|
audit_id = result.get("script", {}).get("id")
|
||
|
|
print("----> Script id from conv-aud is here=", audit_id)
|
||
|
|
translation_instance.converted_audit_id = audit_id
|
||
|
|
translation_instance.save()
|
||
|
|
return saveFile
|
||
|
|
else:
|
||
|
|
log.info("Entry for script id not found")
|