import io
import os
import re
import zipfile
from urllib.parse import quote

import numpy as np

REPO_ID = "saliacoel/tmp"
REPO_TYPE = "model"
BRANCH = "main"
CATEGORY = "Salia/HuggingFace"

_INVALID_FILENAME_CHARS = re.compile(r'[<>:"\\|?*\x00-\x1F]')


def _require_non_empty_string(value, name):
    if value is None:
        raise ValueError(f"{name} is required.")
    value = str(value).strip()
    if not value:
        raise ValueError(f"{name} must not be empty.")
    return value


def _sanitize_filename(filename: str) -> str:
    filename = _require_non_empty_string(filename, "filename")
    filename = filename.replace("\\", "/").split("/")[-1]
    filename = _INVALID_FILENAME_CHARS.sub("_", filename)
    filename = filename.strip().strip(".")
    if not filename:
        raise ValueError("filename became empty after sanitization.")
    return filename


def _strip_known_suffixes(filename: str, suffixes) -> str:
    base = _sanitize_filename(filename)
    lower = base.lower()
    for suffix in suffixes:
        if lower.endswith(suffix.lower()):
            return base[: -len(suffix)]
    return base


def _ensure_extension(filename: str, extension: str) -> str:
    filename = _sanitize_filename(filename)
    if filename.lower().endswith(extension.lower()):
        return filename
    return f"{filename}{extension}"


def _quote_repo_path(path_in_repo: str) -> str:
    return "/".join(quote(part, safe="") for part in path_in_repo.split("/"))


def _repo_file_url(path_in_repo: str) -> str:
    quoted_path = _quote_repo_path(path_in_repo)
    return f"https://huggingface.co/{REPO_ID}/resolve/{BRANCH}/{quoted_path}"


def _import_hf_api():
    try:
        from huggingface_hub import HfApi
    except Exception as exc:
        raise RuntimeError(
            "Missing dependency 'huggingface_hub'. Install it in the ComfyUI Python environment with: pip install huggingface_hub"
        ) from exc
    return HfApi


def _upload_bytes(file_bytes: bytes, path_in_repo: str, hf_token: str, commit_message: str):
    hf_token = _require_non_empty_string(hf_token, "hf_token")
    path_in_repo = _sanitize_filename(path_in_repo)

    HfApi = _import_hf_api()
    api = HfApi(token=hf_token)

    commit_info = api.upload_file(
        path_or_fileobj=file_bytes,
        path_in_repo=path_in_repo,
        repo_id=REPO_ID,
        repo_type=REPO_TYPE,
        token=hf_token,
        commit_message=commit_message,
    )

    commit_url = getattr(commit_info, "commit_url", None)
    if not commit_url:
        commit_url = str(commit_info)

    return path_in_repo, _repo_file_url(path_in_repo), commit_url


def _tensor_to_png_bytes(img):
    try:
        from PIL import Image
    except Exception as exc:
        raise RuntimeError(
            "Missing dependency 'Pillow'. Install it in the ComfyUI Python environment with: pip install pillow"
        ) from exc

    if img is None:
        raise ValueError("img is required.")

    if hasattr(img, "detach"):
        img = img.detach()
    if hasattr(img, "cpu"):
        img = img.cpu()
    if hasattr(img, "numpy"):
        arr = img.numpy()
    else:
        arr = np.asarray(img)

    if arr.ndim == 4:
        if arr.shape[0] == 0:
            raise ValueError("Received an empty image batch.")
        if arr.shape[0] != 1:
            raise ValueError(
                f"Expected a single image, but received a batch of {arr.shape[0]}. Use an image selector/split node first."
            )
        arr = arr[0]

    if arr.ndim != 3:
        raise ValueError(f"Expected image tensor with 3 dimensions after batch removal, got shape {arr.shape}.")

    channels = int(arr.shape[2])
    if channels not in (3, 4):
        raise ValueError(
            f"Expected 3 channels (RGB) or 4 channels (RGBA), but got {channels} channels."
        )

    if np.issubdtype(arr.dtype, np.floating):
        arr = np.clip(arr, 0.0, 1.0)
        arr = np.rint(arr * 255.0).astype(np.uint8)
    else:
        arr = np.clip(arr, 0, 255).astype(np.uint8)

    mode = "RGBA" if channels == 4 else "RGB"
    pil_image = Image.fromarray(arr, mode=mode)

    buffer = io.BytesIO()
    pil_image.save(buffer, format="PNG")
    return buffer.getvalue(), mode


def _text_to_bytes(text: str) -> bytes:
    if text is None:
        text = ""
    return str(text).encode("utf-8")


def _build_split_text_files(text: str, filename: str, linebreaks_per_file: int):
    base_name = _strip_known_suffixes(filename, [".zip", ".txt"])
    text = "" if text is None else str(text)

    if linebreaks_per_file is None:
        linebreaks_per_file = -1

    try:
        linebreaks_per_file = int(linebreaks_per_file)
    except Exception as exc:
        raise ValueError("linebreaks_per_file must be an integer.") from exc

    if linebreaks_per_file <= 0:
        return [(f"{base_name}.txt", text)]

    lines = text.splitlines()
    if not lines:
        return [(f"{base_name}_1_to_1.txt", "")]

    files = []
    for start_idx in range(0, len(lines), linebreaks_per_file):
        end_idx = min(start_idx + linebreaks_per_file, len(lines))
        start_line = start_idx + 1
        end_line = end_idx
        chunk_name = f"{base_name}_{start_line}_to_{end_line}.txt"
        chunk_text = "\n".join(lines[start_idx:end_idx])
        files.append((chunk_name, chunk_text))

    return files


def _zip_named_text_files(named_files):
    buffer = io.BytesIO()
    with zipfile.ZipFile(buffer, mode="w", compression=zipfile.ZIP_DEFLATED) as zf:
        for arcname, text in named_files:
            zf.writestr(arcname, _text_to_bytes(text))
    return buffer.getvalue()


class _SaliaUploadBase:
    CATEGORY = CATEGORY
    OUTPUT_NODE = True
    RETURN_TYPES = ("STRING", "STRING", "STRING")
    RETURN_NAMES = ("path_in_repo", "file_url", "commit_url")


class Salia_Upload_TMP_img(_SaliaUploadBase):
    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "img": ("IMAGE", {}),
                "hf_token": ("STRING", {"default": "", "multiline": False, "placeholder": "hf_..."}),
                "filename": ("STRING", {"default": "image", "multiline": False}),
            }
        }

    FUNCTION = "upload"
    DESCRIPTION = "Upload one RGB or RGBA image as a PNG to saliacoel/tmp on Hugging Face Hub."
    SEARCH_ALIASES = ["upload png to hf", "salia tmp image upload"]

    def upload(self, img, hf_token, filename):
        png_name = _ensure_extension(filename, ".png")
        png_bytes, mode = _tensor_to_png_bytes(img)
        return _upload_bytes(
            png_bytes,
            png_name,
            hf_token,
            f"ComfyUI upload {png_name} ({mode})",
        )


class Salia_Upload_TMP_txt(_SaliaUploadBase):
    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "text": ("STRING", {"default": "", "multiline": True}),
                "hf_token": ("STRING", {"default": "", "multiline": False, "placeholder": "hf_..."}),
                "filename": ("STRING", {"default": "text", "multiline": False}),
            }
        }

    FUNCTION = "upload"
    DESCRIPTION = "Upload text as a UTF-8 .txt file to saliacoel/tmp on Hugging Face Hub."
    SEARCH_ALIASES = ["upload txt to hf", "salia tmp text upload"]

    def upload(self, text, hf_token, filename):
        txt_name = _ensure_extension(filename, ".txt")
        txt_bytes = _text_to_bytes(text)
        return _upload_bytes(
            txt_bytes,
            txt_name,
            hf_token,
            f"ComfyUI upload {txt_name}",
        )


class Salia_Upload_TMP_split_txt_to_zip(_SaliaUploadBase):
    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "text": ("STRING", {"default": "", "multiline": True}),
                "hf_token": ("STRING", {"default": "", "multiline": False, "placeholder": "hf_..."}),
                "filename": ("STRING", {"default": "text_bundle", "multiline": False}),
                "linebreaks_per_file": ("INT", {"default": -1, "min": -1, "max": 100000000, "step": 1}),
            }
        }

    FUNCTION = "upload"
    DESCRIPTION = "Split text into numbered .txt files, zip them, and upload the .zip to saliacoel/tmp on Hugging Face Hub."
    SEARCH_ALIASES = [
        "Salia_Upload_TMP_split_txt",
        "split txt to zip",
        "upload zip to hf",
    ]

    def upload(self, text, hf_token, filename, linebreaks_per_file):
        base_name = _strip_known_suffixes(filename, [".zip", ".txt"])
        zip_name = f"{base_name}.zip"
        named_files = _build_split_text_files(text, base_name, linebreaks_per_file)
        zip_bytes = _zip_named_text_files(named_files)
        return _upload_bytes(
            zip_bytes,
            zip_name,
            hf_token,
            f"ComfyUI upload {zip_name} ({len(named_files)} files)",
        )


NODE_CLASS_MAPPINGS = {
    "Salia_Upload_TMP_img": Salia_Upload_TMP_img,
    "Salia_Upload_TMP_txt": Salia_Upload_TMP_txt,
    "Salia_Upload_TMP_split_txt_to_zip": Salia_Upload_TMP_split_txt_to_zip,
}

NODE_DISPLAY_NAME_MAPPINGS = {
    "Salia_Upload_TMP_img": "Salia_Upload_TMP_img",
    "Salia_Upload_TMP_txt": "Salia_Upload_TMP_txt",
    "Salia_Upload_TMP_split_txt_to_zip": "Salia_Upload_TMP_split_txt_to_zip",
}

__all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS"]