import random
import re

from sentence_transformers import InputExample

from Generator.Enums.RandomType import RandomType
from Generator.Models.ConstLiteral import ConstLiteral
from Generator.Models.Term import Term
from Generator.Models.VariableLiteral import VariableLiteral
from Generator.UniversalRandomizer import UniversalRandomizer


class LogGenerator:
    def __init__(self):
        # Обертки для переменных: id=..., [ip], 'user'
        self.wrappers = [("", ""), ("", ""), ("id=", ""), ("user:", ""), ("[", "]"), ("'", "'")]

        # Словарь для констант (имитация логов)
        self.log_keywords = [
            # Уровни логирования
            "INFO", "ERROR", "WARN", "DEBUG", "TRACE", "CRITICAL", "FATAL", "NOTICE",

            # Действия (Verbs)
            "started", "stopped", "failed", "completed", "aborted", "retrying",
            "connecting", "disconnected", "listening", "resolving", "binding",
            "parsing", "rendering", "authenticating", "authorizing", "validated",
            "rejected", "accepted", "dropped", "created", "deleted", "updated",
            "fetching", "sending", "receiving", "waiting", "killing", "spawning",

            # Сущности (Nouns)
            "System", "Kernel", "Thread", "Process", "Worker", "Daemon", "Job",
            "Connection", "Session", "User", "Client", "Server", "Proxy", "Gateway",
            "Database", "Table", "Index", "Query", "Transaction", "Commit", "Rollback",
            "Cache", "Buffer", "Heap", "Stack", "Memory", "Disk", "Volume",
            "Network", "Port", "Socket", "Interface", "Protocol", "Packet",
            "Request", "Response", "Header", "Body", "Payload", "Token", "Key",
            "File", "Directory", "Path", "Config", "Module", "Plugin", "Component",
            "Exception", "Error", "Timeout", "Latency", "HealthCheck", "Status",

            # HTTP и Web
            "GET", "POST", "PUT", "DELETE", "PATCH", "OPTIONS", "HEAD",
            "HTTP/1.1", "HTTP/2", "API", "Endpoint", "Route", "URI", "URL",
            "JSON", "XML", "YAML", "HTML", "CSS", "JS",

            # Предлоги и связки
            "at", "in", "on", "to", "from", "by", "with", "for", "via", "through",

            # Прилагательные и состояния
            "successful", "failed", "denied", "allowed", "active", "inactive",
            "pending", "queued", "blocked", "locked", "corrupted", "invalid",
            "missing", "found", "available", "unavailable", "busy", "idle",
            "secure", "insecure", "public", "private", "local", "remote"
        ]

    def generate(self, min_literals=15, max_literals=25) -> Term:
        count = random.randint(min_literals, max_literals)
        literals = []

        for i in range(count):
            # 60% Константа, 40% Переменная
            if random.random() < 0.6:
                # Либо слово из словаря, либо случайное слово
                txt = random.choice(self.log_keywords) if random.random() < 0.8 else UniversalRandomizer.fake.text.word()
                literals.append(ConstLiteral(text=txt))
            else:
                r_type = random.choice(list(RandomType))
                pref, post = random.choice(self.wrappers)
                literals.append(VariableLiteral(name=f"v{i}", type=r_type, prefix=pref, postfix=post))

        return Term(literals=literals, separator=random.choice([" ", ";", "|"]))

    def generate_training_data(self, count=100):
        train_examples = []

        for _ in range(count):
            anchor_term = self.generate()

            anchor_text = anchor_term.render().text

            # 2. Генерируем Positive (Позитивный пример)
            positive_text = anchor_term.render().text

            # 3. Генерируем Hard Negative
            literals_copy = anchor_term.literals[:]
            random.shuffle(literals_copy)

            negative_hard_text = anchor_term.separator.join([lit.render().text for lit in literals_copy])

            # 4. Генерируем Easy Negative (Совсем другой шаблон)
            random_other_term = self.generate()
            negative_easy_text = random_other_term.render().text

            # 3. Генерируем Very Hard Negative

            bad_sep = random.choice([" ", ";", "|", " "])
            negative_very_hard_text = bad_sep.join([lit.render().text for lit in literals_copy])

            # 5. Упаковываем для Sentence Transformers

            # Перемешивание, но с сохранением разделителя
            train_examples.append(InputExample(texts=[
                self.mask_log_structure(anchor_text),
                self.mask_log_structure(positive_text),
                self.mask_log_structure(negative_hard_text)
            ]))

            # Другой лог
            train_examples.append(InputExample(texts=[
                self.mask_log_structure(anchor_text),
                self.mask_log_structure(positive_text),
                self.mask_log_structure(negative_easy_text)
            ]))

            # Перемешивание + случайный разделитель
            train_examples.append(InputExample(texts=[
                self.mask_log_structure(anchor_text),
                self.mask_log_structure(positive_text),
                self.mask_log_structure(negative_very_hard_text)
            ]))

        return train_examples

    def mask_log_structure(self, text: str) -> str:
        # 1. GUID / UUID (строгий паттерн)
        # Пример: 123e4567-e89b-12d3-a456-426614174000
        text = re.sub(r'[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}', '<GUID>', text)

        # 2. IP-адреса (IPv4)
        # Пример: 192.168.0.1
        # Важно делать ДО флоатов, иначе 192.168 определится как Float
        text = re.sub(r'\d{1,3}(?:\.\d{1,3}){3}', '<IP>', text)

        # 3. Числа с плавающей точкой (Floats)
        # Пример: 0.05, 123.45, -3.14
        # (?<!\.) - проверка, что перед числом нет точки (чтобы не ломать IP, если вдруг проскочил)
        text = re.sub(r'-?\d+\.\d+', '<NUM>', text)

        # 4. Целые числа (Integers)
        # Пример: 404, 500, -1
        text = re.sub(r'-?\d+', '<NUM>', text)

        # 5. (Опционально) Hex-строки (адреса памяти, хеши)
        # Пример: 0x7fff5fbff
        text = re.sub(r'0x[0-9a-fA-F]+', '<HEX>', text)

        return text



if __name__ == "__main__":
    gen = LogGenerator()
    gen.generate_training_data(count=1)

    print("Пример генерации датасета:\n")

    # Генерируем 5 примеров
    for i in range(10):
        # 1. Получаем объект Term
        term = gen.generate()

        # 3. Используем данные (например, сохраняем в JSON для обучения)
        print(f"--- Sample {i + 1} ---")
        result = term.render()
        print(f"{term.structure().text}")

        for j in range(5):
            # 2. Рендерим его в строку и метаданные
            result = term.render()

            print(f"Positive {j}:  {result.text}")

        for j in range(5):
            # 2. Рендерим его в строку и метаданные
            random.shuffle(term.literals)
            term.separator = random.choice([" ", ";", "|"])
            result = term.render()

            print(f"Negative {j}:  {result.text}")