import requests from celery import shared_task from ml.openai_handle import create_name_hint, create_hints from pitch_deck_generator.decks.models import PitchDeck, Question, QuestionDeckHint data_types = { "names": ("text", 1), "type": ("select", 13), "category": ("text", 14), "users": ("text", 2), "problems": ("text", 3), "actuality": ("text", 4), "solve": ("text", 5), "works": ("text", 6), "awards": ("text", 7), "market_values": ("multiple_range", 8), "percentage": ("multiple_range", 9), "project_stage": ("select", 10), "money": ("text", 11), "financial_indicators": ("text", 33), "users_metrics": ("multiple_range", 12), "aims": ("text", 15), "money_recieved": ("number", 16), "past_investors": ("text", 17), "how_much_investments": ("range", 18), "finance_model": ("link", 19), "company_value": ("range", 20), "investments_sold": ("text", 21), "time_to_spend": ("date", 22), "achieve": ("text", 23), "future_value": ("range", 24), "your_role": ("photo_description", 25), "your_teammates": ("multiple_photo_description", 26), "competitors": ("text", 27), "competitors_strength": ("text", 28), "competitors_low": ("text", 29), "advantages": ("text", 30), "images": ("multiple_photo", 31), "links": ("multiple_link_description", 32), } @shared_task def run_pitch_deck_calculation(pk: int): generate_pitch_deck_name.apply_async(kwargs={"pk": pk}) generate_known_values.apply_async(kwargs={"pk": pk}) for i in range(3): generate_batch_hints.apply_async(kwargs={"pk": pk, "num": i}) @shared_task def generate_pitch_deck_name(pk: int): pitch_deck = PitchDeck.objects.get(pk=pk) data = create_name_hint(pitch_deck.description) question = Question.objects.get(inner_tag=data["type"]) QuestionDeckHint.objects.create( question=question, deck=pitch_deck, hint={"type": "text_array", "value": data["value"]}, ) @shared_task def generate_known_values(pk: int): pitch_deck = PitchDeck.objects.get(pk=pk) _, question_id = data_types["category"] QuestionDeckHint.objects.create( question_id=question_id, deck=pitch_deck, hint={ "type": "select", "value": [ "Business Software", "IndustrialTech", "E-commerce", "Advertising & Marketing", "Hardware", "RetailTech", "ConstructionTech", "Web3", "EdTech", "Business Intelligence", "Cybersecurity", "HrTech", "Telecom & Communication", "Media & Entertainment", "FinTech", "MedTech", "Transport & Logistics", "Gaming", "FoodTech", "AI", "WorkTech", "Consumer Goods & Services", "Aero & SpaceTech", "Legal & RegTech", "Travel", "PropTech", "Energy", "GreenTech", ], }, ) req = requests.post( "https://rare-needles-lead.loca.lt/search", json={"body": pitch_deck.description}, ) data = req.json() _, question_id = data_types["competitors"] QuestionDeckHint.objects.create( question_id=question_id, deck=pitch_deck, hint={"type": "cards", "value": data} ) @shared_task def generate_batch_hints(pk: int, num: int): pitch_deck = PitchDeck.objects.get(pk=pk) data = create_hints(pitch_deck.description, num) for el in data: question_type, question_id = data_types[el["type"]] QuestionDeckHint.objects.create( question_id=question_id, deck=pitch_deck, hint={"type": question_type, "value": el["value"]}, )