# """
# This module provides functions to generate dynamic hints and curiosities about a secret word using llms.

# Functions:
#     hint(secret, n, model, last_hint, lang, Config):
#         Generates a dynamic hint based on the secret word and the number of hints given.
#         Parameters:
#             secret (str): The secret word.
#             n (int): The number of hints already given.
#             model: The sentence transformer model used for encoding.
#             last_hint (int): The index of the last hint given.
#             lang (int): The language code (0 for Spanish, 1 for English).
#             Config: Configuration object containing hint templates.
#         Returns:
#             tuple: A tuple containing the generated hint (str), the updated number of hints (int), and the index of the last hint given (int).

#     curiosity(secret, Config):
#         Generates a curiosity about the secret word.
#         Parameters:
#             secret (str): The secret word.
#             Config: Configuration object containing the curiosity template.
#         Returns:
#             str: The generated curiosity.

#     ireplace(old, new, text):
#         Replaces all occurrences of a substring in a string, case-insensitively.
#         Parameters:
#             old (str): The substring to be replaced.
#             new (str): The substring to replace with.
#             text (str): The original string.
#         Returns:
#             str: The modified string with all occurrences of the old substring replaced by the new substring.
# """

import random
import openai
from sentence_transformers import util

gpt_model = "gpt-3.5-turbo"


# Dynamic hint function that returns a hint based on the secret word and the number of hints given
def hint(secret, n, model, last_hint, lang, Config):

    # Initialize hint variable
    hint = ""

    # Advanced hints
    if n >= 3:
        j = random.randint(0, 2)
        while j == last_hint:
            j = random.randint(0, 2)

        # Advanced hint 1: Definition of the secret word
        if j == 0:
            response = openai.chat.completions.create(
                model=gpt_model,
                messages=[
                    {
                        "role": "user",
                        "content": Config.hint_0_0  # type: ignore
                        + secret
                        + Config.hint_0_1  # type: ignore
                        + secret
                        + Config.hint_0_2,  # type: ignore
                    }
                ],
                temperature=1,
                max_tokens=256,
                top_p=1,
                frequency_penalty=0.5,
                presence_penalty=0,
            )
            output = str(response.choices[0].message.content)
            output = output.replace('"', "").replace("'", "")

            # Replace the secret word with "La palabra secreta" or "The secret word" just in case the model uses the secret word in the definition
            if lang == 0:
                output = ireplace("la " + secret, "La palabra secreta", output)
                output = ireplace("las " + secret, "La palabra secreta", output)
                output = ireplace("el " + secret, "La palabra secreta", output)
                output = ireplace("los " + secret, "La palabra secreta", output)
                output = ireplace("un " + secret, "La palabra secreta", output)
                output = ireplace("una " + secret, "La palabra secreta", output)
                output = ireplace("unos " + secret, "La palabra secreta", output)
                output = ireplace("unas " + secret, "La palabra secreta", output)
            elif lang == 1:
                output = ireplace("the " + secret, "The secret word", output)
                output = ireplace("a " + secret, "The secret word", output)

            hint += Config.hint_0_3 + output  # type: ignore
            last_hint = 0

        # Advanced hint 2: Representation of the secret word with emojis
        elif j == 1:
            response = openai.chat.completions.create(
                model=gpt_model,
                messages=[
                    {
                        "role": "user",
                        "content": Config.hint_1_0 + secret + Config.hint_1_1,  # type: ignore
                    }
                ],
                temperature=1,
                max_tokens=256,
                top_p=1,
                frequency_penalty=0,
                presence_penalty=0,
            )
            output = str(response.choices[0].message.content)
            hint += Config.hint_1_2 + output  # type: ignore
            last_hint = 1

        # Advanced hint 3: Poem about the secret word
        elif j == 2:
            response = openai.chat.completions.create(
                model=gpt_model,
                messages=[
                    {
                        "role": "user",
                        "content": Config.hint_2_0 + secret + Config.hint_2_1,  # type: ignore
                    }
                ],
                temperature=1,
                max_tokens=256,
                top_p=1,
                frequency_penalty=0,
                presence_penalty=0,
            )
            output = str(response.choices[0].message.content)

            hint += Config.hint_2_2 + output  # type: ignore

            last_hint = 2
    # Initial hints
    else:
        j = random.randint(3, 4)
        while j == last_hint:
            j = random.randint(3, 4)

        # Initial hint 1: Rank of four words related to the secret word
        if j == 3:
            words = []
            response = openai.chat.completions.create(
                model=gpt_model,
                messages=[
                    {
                        "role": "user",
                        "content": Config.hint_3_0,  # type: ignore
                    }
                ],
                temperature=1.25,
                max_tokens=256,
                top_p=1,
                frequency_penalty=0,
                presence_penalty=0,
            )
            output = str(response.choices[0].message.content)
            output = (output.replace(" ", "").replace(".", "")).lower()
            words.extend(output.strip().split(","))
            response = openai.chat.completions.create(
                model=gpt_model,
                messages=[
                    {
                        "role": "user",
                        "content": Config.hint_3_1  # type: ignore
                        + secret
                        + Config.hint_3_2,  # type: ignore
                    }
                ],
                temperature=1.1,
                max_tokens=256,
                top_p=1,
                frequency_penalty=0,
                presence_penalty=0,
            )
            output = str(response.choices[0].message.content)
            output = (output.replace(".", "")).lower()
            words.append(output)  # type: ignore
            random.shuffle(words)
            sentences1 = [secret, secret, secret, secret]
            sentences2 = words
            embeddings1 = model.encode(sentences1, convert_to_tensor=True)
            embeddings2 = model.encode(sentences2, convert_to_tensor=True)

            cosine_scores = util.cos_sim(embeddings1, embeddings2)
            scores = cosine_scores[0].tolist()
            sum_scores = sum(scores)
            normalized_scores = [round(score * 100 / sum_scores, 1) for score in scores]

            hint += Config.hint_3_3  # type: ignore

            max_len = -1
            for ele in words:
                if len(ele) > max_len:
                    max_len = len(ele)
                    longest_word = ele

            for i in range(len(words)):

                word_hint = words[i].ljust(len(longest_word) + 1)
                hint += (
                    # word_hint[: len(longest_word)]
                    word_hint
                    + "|"
                    + ("🟩") * round(normalized_scores[i] * 0.2)
                    + " "
                    + str(normalized_scores[i])
                    + "%\n"
                )
            last_hint = 3

        # Initial hint 2: Film representation with emojis with the secret word
        elif j == 4:
            response = openai.chat.completions.create(
                model=gpt_model,
                messages=[
                    {
                        "role": "user",
                        "content": Config.hint_4_0  # type: ignore
                        + secret
                        + Config.hint_4_1,  # type: ignore
                    }
                ],
                temperature=1,
                max_tokens=256,
                top_p=1,
                frequency_penalty=0,
                presence_penalty=0,
            )
            film_title = str(response.choices[0].message.content).replace('"', "")
            response = openai.chat.completions.create(
                model=gpt_model,
                messages=[
                    {
                        "role": "user",
                        "content": Config.hint_4_2  # type: ignore
                        + film_title
                        + Config.hint_4_3,  # type: ignore
                    }
                ],
                temperature=1,
                max_tokens=256,
                top_p=1,
                frequency_penalty=0,
                presence_penalty=0,
            )
            output = str(response.choices[0].message.content)
            hint += Config.hint_4_4 + "\n" + output  # type: ignore
            last_hint = 4

    return hint, n + 1, last_hint


# Tell a curiosity about the secret word
def curiosity(secret, Config):

    response = openai.chat.completions.create(
        model=gpt_model,
        messages=[
            {
                "role": "user",
                "content": Config.curiosity + secret + '".',
            }
        ],
        temperature=1,
        max_tokens=256,
        top_p=1,
        frequency_penalty=0,
        presence_penalty=0,
    )
    output = str(response.choices[0].message.content)

    return output


# Replace all occurrences of a substring in a string
def ireplace(old, new, text):
    idx = 0
    while idx < len(text):
        index_l = text.lower().find(old.lower(), idx)
        if index_l == -1:
            return text
        text = text[:index_l] + new + text[index_l + len(old) :]
        idx = index_l + len(new)
    return text