import random
from typing import List

import winkelumrechnungen as wu
from GHA_triaxial.utils import jacobi_konstante
from ellipsoid_triaxial import EllipsoidTriaxial

ell = EllipsoidTriaxial.init_name("KarneyTest2024")
file_path = r"Karney_2024_Testset.txt"

def line2example(line: str) -> List:
    """
    Line-String in Liste umwandeln
    :param line: Line-String
    :return: Liste mit Zahlenwerten
    """
    split = line.split()
    example = [float(value) for value in split[:7]]
    for i, value in enumerate(example):
        if i < 6:
            example[i] = wu.deg2rad(value)
            # example[i] = value
    return example

def get_random_examples(num: int, seed: int = None) -> List:
    """
    Rückgabe zufälliger Beispiele
    beta0, lamb0, alpha0, beta1, lamb1, alpha1, s12
    :param num: Anzahl zufälliger Beispiele
    :param seed: Random-Seed
    :return: Liste mit Beispielen
    """
    if seed is not None:
        random.seed(seed)
    with open(file_path) as datei:
        lines = datei.readlines()
    examples = []
    for i in range(num):
        example = line2example(lines[random.randint(0, len(lines) - 1)])
        examples.append(example)
    return examples

def get_examples(l_i: List) -> List:
    """
    Rückgabe ausgewählter Beispiele
    beta0, lamb0, alpha0, beta1, lamb1, alpha1, s12
    :param l_i: Liste von Indizes
    :return: Liste mit Beispielen
    """
    with open(file_path) as datei:
        lines = datei.readlines()
    examples = []
    for i in l_i:
        example = line2example(lines[i])
        examples.append(example)
    return examples


def get_random_examples_gamma(group: str, num: int, seed: int = None, length: str = None) -> List:
    """
    Zufällige Beispiele aus Karney in Gruppen nach Einteilung anhand der Jacobi-Konstanten
    :param group: Gruppe
    :param num: Anzahl
    :param seed: Random-Seed
    :param length: long oder short, sond egal
    :return: Liste mit Beispielen
    """
    eps = 1e-20
    long_short = 2
    if seed is not None:
        random.seed(seed)
    with open(file_path) as datei:
        lines = datei.readlines()
    examples = []
    i = 0
    while len(examples) < num and i < len(lines):
        example = line2example(lines[random.randint(0, len(lines) - 1)])
        if example in examples:
            continue
        i += 1

        beta0, lamb0, alpha0_ell, beta1, lamb1, alpha1_ell, s = example
        gamma = jacobi_konstante(beta0, lamb0, alpha0_ell, ell)

        if group not in ["a", "b", "c", "d", "e", "de"]:
            break
        elif group == "a" and not 1 >= gamma >= 0.01:
            continue
        elif group == "b" and not 0.01 > gamma > eps:
            continue
        elif group == "c" and not abs(gamma) <= eps:
            continue
        elif group == "d" and not -eps > gamma > -1e-17:
            continue
        elif group == "e" and not -1e-17 >= gamma >= -1:
            continue
        elif group == "de" and not -eps > gamma > -1:
            continue

        if length == "short":
            if example[6] < long_short:
                examples.append(example)
        elif length == "long":
            if example[6] >= long_short:
                examples.append(example)
        else:
            examples.append(example)

    return examples


if __name__ == "__main__":
    examples_a = get_random_examples_gamma("a", 10, 42)
    examples_b = get_random_examples_gamma("b", 10, 42)
    examples_c = get_random_examples_gamma("c", 10, 42)
    examples_d = get_random_examples_gamma("d", 10, 42)
    examples_e = get_random_examples_gamma("e", 10, 42)
    pass