import math
from collections import namedtuple
from copy import copy
import random

import modules.scripts as scripts
import gradio as gr

from modules import images
from modules.processing import process_images, Processed
from modules.shared import opts, cmd_opts, state
import modules.sd_samplers


def draw_xy_grid(xs, ys, x_label, y_label, cell):
    res = []

    ver_texts = [[images.GridAnnotation(y_label(y))] for y in ys]
    hor_texts = [[images.GridAnnotation(x_label(x))] for x in xs]

    first_processed = None

    state.job_count = len(xs) * len(ys)

    for iy, y in enumerate(ys):
        for ix, x in enumerate(xs):
            state.job = f"{ix + iy * len(xs) + 1} out of {len(xs) * len(ys)}"

            processed = cell(x, y)
            if first_processed is None:
                first_processed = processed

            res.append(processed.images[0])

    grid = images.image_grid(res, rows=len(ys))
    grid = images.draw_grid_annotations(grid, res[0].width, res[0].height, hor_texts, ver_texts)

    first_processed.images = [grid]

    return first_processed


class Script(scripts.Script):
    def title(self):
        return "Prompt matrix"

    def ui(self, is_img2img):
        gr.HTML('<br />')
        with gr.Row():
            with gr.Column():
                put_at_start = gr.Checkbox(label='Put variable parts at start of prompt', value=False, elem_id=self.elem_id("put_at_start"))
                different_seeds = gr.Checkbox(label='Use different seed for each picture', value=False, elem_id=self.elem_id("different_seeds"))
            with gr.Column():
                prompt_type = gr.Radio(["positive", "negative"], label="Select prompt", elem_id=self.elem_id("prompt_type"), value="positive")
                variations_delimiter = gr.Radio(["comma", "space"], label="Select joining char", elem_id=self.elem_id("variations_delimiter"), value="comma")
            with gr.Column():
                margin_size = gr.Slider(label="Grid margins (px)", minimum=0, maximum=500, value=0, step=2, elem_id=self.elem_id("margin_size"))

        return [put_at_start, different_seeds, prompt_type, variations_delimiter, margin_size]

    def run(self, p, put_at_start, different_seeds, prompt_type, variations_delimiter, margin_size):
        modules.processing.fix_seed(p)
        # Raise error if promp type is not positive or negative
        if prompt_type not in ["positive", "negative"]:
            raise ValueError(f"Unknown prompt type {prompt_type}")
        # Raise error if variations delimiter is not comma or space
        if variations_delimiter not in ["comma", "space"]:
            raise ValueError(f"Unknown variations delimiter {variations_delimiter}")

        prompt = p.prompt if prompt_type == "positive" else p.negative_prompt
        original_prompt = prompt[0] if type(prompt) == list else prompt
        positive_prompt = p.prompt[0] if type(p.prompt) == list else p.prompt

        delimiter = ", " if variations_delimiter == "comma" else " "

        all_prompts = []
        prompt_matrix_parts = original_prompt.split("|")
        combination_count = 2 ** (len(prompt_matrix_parts) - 1)
        for combination_num in range(combination_count):
            selected_prompts = [text.strip().strip(',') for n, text in enumerate(prompt_matrix_parts[1:]) if combination_num & (1 << n)]

            if put_at_start:
                selected_prompts = selected_prompts + [prompt_matrix_parts[0]]
            else:
                selected_prompts = [prompt_matrix_parts[0]] + selected_prompts

            all_prompts.append(delimiter.join(selected_prompts))

        p.n_iter = math.ceil(len(all_prompts) / p.batch_size)
        p.do_not_save_grid = True

        print(f"Prompt matrix will create {len(all_prompts)} images using a total of {p.n_iter} batches.")

        if prompt_type == "positive":
            p.prompt = all_prompts
        else:
            p.negative_prompt = all_prompts
        p.seed = [p.seed + (i if different_seeds else 0) for i in range(len(all_prompts))]
        p.prompt_for_display = positive_prompt
        processed = process_images(p)

        grid = images.image_grid(processed.images, p.batch_size, rows=1 << ((len(prompt_matrix_parts) - 1) // 2))
        grid = images.draw_prompt_matrix(grid, p.width, p.height, prompt_matrix_parts, margin_size)
        processed.images.insert(0, grid)
        processed.index_of_first_image = 1
        processed.infotexts.insert(0, processed.infotexts[0])

        if opts.grid_save:
            images.save_image(processed.images[0], p.outpath_grids, "prompt_matrix", extension=opts.grid_format, prompt=original_prompt, seed=processed.seed, grid=True, p=p)

        return processed
