import hashlib
import os

import pandas as pd
from bs4 import BeautifulSoup
from loguru import logger


class FileName:
    """Record file original name, state and copied filepath with text
    format."""

    def __init__(self, root: str, filename: str, _type: str):
        self.root = root
        self.prefix = filename.replace("/", "_")
        self.basename = os.path.basename(filename)
        self.origin = os.path.join(root, filename)
        self.copypath = ""
        self._type = _type
        self.state = True
        self.reason = ""

    def __str__(self):
        return "{},{},{},{}\n".format(self.basename, self.copypath, self.state, self.reason)


class FileOperation:
    """Encapsulate all file reading operations."""

    def __init__(self):
        self.image_suffix = [".jpg", ".jpeg", ".png", ".bmp"]
        self.md_suffix = ".md"
        self.text_suffix = [".txt", ".text"]
        self.excel_suffix = [".xlsx", ".xls", ".csv"]
        self.pdf_suffix = ".pdf"
        self.ppt_suffix = ".pptx"
        self.html_suffix = [".html", ".htm", ".shtml", ".xhtml"]
        self.word_suffix = [".docx", ".doc"]
        self.normal_suffix = (
            [self.md_suffix]
            + self.text_suffix
            + self.excel_suffix
            + [self.pdf_suffix]
            + self.word_suffix
            + [self.ppt_suffix]
            + self.html_suffix
        )

    def get_type(self, filepath: str):
        filepath = filepath.lower()
        if filepath.endswith(self.pdf_suffix):
            return "pdf"

        if filepath.endswith(self.md_suffix):
            return "md"

        if filepath.endswith(self.ppt_suffix):
            return "ppt"

        for suffix in self.image_suffix:
            if filepath.endswith(suffix):
                return "image"

        for suffix in self.text_suffix:
            if filepath.endswith(suffix):
                return "text"

        for suffix in self.word_suffix:
            if filepath.endswith(suffix):
                return "word"

        for suffix in self.excel_suffix:
            if filepath.endswith(suffix):
                return "excel"

        for suffix in self.html_suffix:
            if filepath.endswith(suffix):
                return "html"
        return None

    def md5(self, filepath: str):
        hash_object = hashlib.sha256()
        with open(filepath, "rb") as file:
            chunk_size = 8192
            while chunk := file.read(chunk_size):
                hash_object.update(chunk)

        return hash_object.hexdigest()[0:8]

    def summarize(self, files: list):
        success = 0
        skip = 0
        failed = 0

        for file in files:
            if file.state:
                success += 1
            elif file.reason == "skip":
                skip += 1
            else:
                logger.info("{} {}".format(file.origin, file.reason))
                failed += 1

            logger.info("{} {}".format(file.reason, file.copypath))
        logger.info("累计{}文件，成功{}个，跳过{}个，异常{}个".format(len(files), success, skip, failed))

    def scan_dir(self, repo_dir: str):
        files = []
        for root, _, filenames in os.walk(repo_dir):
            for filename in filenames:
                _type = self.get_type(filename)
                if _type is not None:
                    files.append(FileName(root=root, filename=filename, _type=_type))
        return files

    def read_pdf(self, filepath: str):
        # load pdf and serialize table

        # TODO fitz 安装有些不兼容，后续按需完善
        import fitz

        text = ""
        with fitz.open(filepath) as pages:
            for page in pages:
                text += page.get_text()
                tables = page.find_tables()
                for table in tables:
                    tablename = "_".join(filter(lambda x: x is not None and "Col" not in x, table.header.names))
                    pan = table.to_pandas()
                    json_text = pan.dropna(axis=1).to_json(force_ascii=False)
                    text += tablename
                    text += "\n"
                    text += json_text
                    text += "\n"
        return text

    def read_excel(self, filepath: str):
        table = None
        if filepath.endswith(".csv"):
            table = pd.read_csv(filepath)
        else:
            table = pd.read_excel(filepath)
        if table is None:
            return ""
        json_text = table.dropna(axis=1).to_json(force_ascii=False)
        return json_text

    def read(self, filepath: str):
        file_type = self.get_type(filepath)

        text = ""

        if not os.path.exists(filepath):
            return text, None

        try:

            if file_type == "md" or file_type == "text":
                with open(filepath) as f:
                    text = f.read()

            elif file_type == "pdf":
                text += self.read_pdf(filepath)

            elif file_type == "excel":
                text += self.read_excel(filepath)

            elif file_type == "word" or file_type == "ppt":
                # https://stackoverflow.com/questions/36001482/read-doc-file-with-python
                # https://textract.readthedocs.io/en/latest/installation.html

                # TODO textract 在 pip 高于 24.1 后安装不了，因为其库自身原因，后续按需进行完善
                # 可自行安装 pip install textract==1.6.5
                import textract  # for word and ppt

                text = textract.process(filepath).decode("utf8")
                if file_type == "ppt":
                    text = text.replace("\n", " ")

            elif file_type == "html":
                with open(filepath) as f:
                    soup = BeautifulSoup(f.read(), "html.parser")
                    text += soup.text

        except Exception as e:
            logger.error((filepath, str(e)))
            return "", e
        text = text.replace("\n\n", "\n")
        text = text.replace("\n\n", "\n")
        text = text.replace("\n\n", "\n")
        text = text.replace("  ", " ")
        text = text.replace("  ", " ")
        text = text.replace("  ", " ")
        return text, None


if __name__ == "__main__":

    def get_pdf_files(directory):
        pdf_files = []
        # 遍历目录
        for root, dirs, files in os.walk(directory):
            for file in files:
                # 检查文件扩展名是否为.pdf
                if file.lower().endswith(".pdf"):
                    # 将完整路径添加到列表中
                    pdf_files.append(os.path.abspath(os.path.join(root, file)))
        return pdf_files

    # 将你想要搜索的目录替换为下面的路径
    pdf_list = get_pdf_files("/home/khj/huixiangdou-web-online-data/hxd-bad-file")

    # 打印所有找到的PDF文件的绝对路径

    opr = FileOperation()
    for pdf_path in pdf_list:
        text, error = opr.read(pdf_path)
        print("processing {}".format(pdf_path))
        if error is not None:
            # pdb.set_trace()
            print("")

        else:
            if text is not None:
                print(len(text))
            else:
                # pdb.set_trace()
                print("")