114 lines
6.7 KiB
Python
Executable File
114 lines
6.7 KiB
Python
Executable File
# from .models import *
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# import pandas as pd
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# from MNF.settings import BasePath
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# from django.http import HttpResponse
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# basePath = BasePath()
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# def create_juggernaut_models(user_object, service_name):
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# df = pd.read_excel(f'{basePath}/juggernaut_package.xlsx')
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# production_package = ['Radiate','Regionalise','Globalise']
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# screen_package = ['Longjump','Triplejump','Highjump']
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# if JuggernautPackage.objects.filter(user_id = user_object).exists():
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# if JuggernautPackage.objects.filter(user_id = user_object).count() ==2 :
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# dual_package=JuggernautPackage.objects.filter(user_id = user_object)
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# for i in dual_package:
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# if (i.package_name in production_package and service_name in production_package) or (i.package_name in screen_package and service_name in screen_package):
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# jp = i
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# break
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# else:
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# jp = JuggernautPackage.objects.get(user_id = user_object) #if user will take more than 2 package #change
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# if (jp.package_name in production_package and service_name in production_package) or (jp.package_name in screen_package and service_name in screen_package):
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# print("in if condition")
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# for i,row in df.iterrows():
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# if row['juggernaut_package'] == service_name:
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# if jp.validity_days <= row['Validity_Days']:
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# jp.validity_days = row['Validity_Days']
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# jp.package_name += service_name
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# jp.price += row['Price']
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# jp.beat_scene_generation += row['beat_scene_generation']
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# jp.beat_scene_generation_initial += row['beat_scene_generation']
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# jp.conversion_pages +=row['conversion_pages']
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# jp.conversion_pages_initial +=row['conversion_pages']
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# jp.subtitling_minutes +=row['subtitling_minutes']
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# jp.subtitling_minutes_initial +=row['subtitling_minutes']
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# jp.scheduling_and_budget_projects +=row['scheduling_and_budget_projects']
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# jp.scheduling_and_budget_projects_initial +=row['scheduling_and_budget_projects']
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# jp.pitchdeck_one_pager +=row['pitchdeck_one_pager']
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# jp.pitchdeck_elevator +=row['pitchdeck_elevator']
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# jp.pitchdeck_screenplay +=row['pitchdeck_screenplay']
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# jp.narrarion_character_intro +=row['narrarion_character_intro']
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# jp.narrarion_line_by_line +=row['narrarion_line_by_line']
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# jp.narrarion_characterwise +=row['narrarion_characterwise']
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# jp.conversion_iteration +=row['conversion_iterations']
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# jp.conversion_languages +=row['conversion_Languages']
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# jp.subtitling_iteration +=row['subtitling_iterations']
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# jp.subtitling_languages += row['subtitling_languages']
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# print("merged data")
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# break
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# else:
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# print("creating new one package of juggernaut")
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# jp = JuggernautPackage()
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# jp.user_id = user_object
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# jp.package_name = service_name
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# print(user_object,"user_object")
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# for i,row in df.iterrows():
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# if row['juggernaut_package'] == service_name:
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# jp.validity_days =row['Validity_Days']
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# jp.price = row['Price']
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# jp.beat_scene_generation = row['beat_scene_generation']
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# jp.beat_scene_generation_initial = row['beat_scene_generation']
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# jp.conversion_pages =row['conversion_pages']
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# jp.conversion_pages_initial =row['conversion_pages']
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# jp.subtitling_minutes =row['subtitling_minutes']
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# jp.subtitling_minutes_initial =row['subtitling_minutes']
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# jp.scheduling_and_budget_projects =row['scheduling_and_budget_projects']
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# jp.scheduling_and_budget_projects_initial =row['scheduling_and_budget_projects']
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# jp.pitchdeck_one_pager =row['pitchdeck_one_pager']
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# jp.pitchdeck_elevator =row['pitchdeck_elevator']
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# jp.pitchdeck_screenplay =row['pitchdeck_screenplay']
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# jp.narrarion_character_intro =row['narrarion_character_intro']
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# jp.narrarion_line_by_line =row['narrarion_line_by_line']
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# jp.narrarion_characterwise =row['narrarion_characterwise']
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# jp.conversion_iteration =row['conversion_iterations']
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# jp.conversion_languages =row['conversion_Languages']
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# jp.subtitling_iteration =row['subtitling_iterations']
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# jp.subtitling_languages = row['subtitling_languages']
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# break
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# else:
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# print("creating new one package of juggernaut")
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# jp = JuggernautPackage()
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# jp.user_id = user_object
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# jp.package_name = service_name
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# print(user_object,"user_object")
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# for i,row in df.iterrows():
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# if row['juggernaut_package'] == service_name:
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# jp.validity_days =row['Validity_Days']
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# jp.price = row['Price']
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# jp.beat_scene_generation = row['beat_scene_generation']
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# jp.beat_scene_generation_initial = row['beat_scene_generation']
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# jp.conversion_pages =row['conversion_pages']
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# jp.conversion_pages_initial =row['conversion_pages']
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# jp.subtitling_minutes =row['subtitling_minutes']
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# jp.subtitling_minutes_initial =row['subtitling_minutes']
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# jp.scheduling_and_budget_projects =row['scheduling_and_budget_projects']
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# jp.scheduling_and_budget_projects_initial =row['scheduling_and_budget_projects']
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# jp.pitchdeck_one_pager =row['pitchdeck_one_pager']
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# jp.pitchdeck_elevator =row['pitchdeck_elevator']
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# jp.pitchdeck_screenplay =row['pitchdeck_screenplay']
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# jp.narrarion_character_intro =row['narrarion_character_intro']
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# jp.narrarion_line_by_line =row['narrarion_line_by_line']
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# jp.narrarion_characterwise =row['narrarion_characterwise']
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# jp.conversion_iteration =row['conversion_iterations']
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# jp.conversion_languages =row['conversion_Languages']
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# jp.subtitling_iteration =row['subtitling_iterations']
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# jp.subtitling_languages = row['subtitling_languages']
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# break
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# jp.save()
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# return HttpResponse("Done transposed")
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