delete old magic-pdf cli

README_zh-CN_v2.md

@@ -327,7 +327,7 @@ The project currently leverages PyMuPDF to deliver advanced functionalities; how
 
 # Acknowledgments
 
-- [StructEqTable](https://github.com/UniModal4Reasoning/StructEqTable-Deploy) 🔥🔥🔥
+- [StructEqTable](https://github.com/UniModal4Reasoning/StructEqTable-Deploy)
 - [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)
 - [PyMuPDF](https://github.com/pymupdf/PyMuPDF)
 - [fast-langdetect](https://github.com/LlmKira/fast-langdetect)

magic_pdf/cli/magicpdf.py

@@ -1,336 +0,0 @@
-import os
-import json as json_parse
-import click
-from loguru import logger
-from pathlib import Path
-from magic_pdf.libs.version import __version__
-
-from magic_pdf.libs.MakeContentConfig import DropMode, MakeMode
-from magic_pdf.libs.draw_bbox import draw_layout_bbox, draw_span_bbox
-from magic_pdf.pipe.UNIPipe import UNIPipe
-from magic_pdf.pipe.OCRPipe import OCRPipe
-from magic_pdf.pipe.TXTPipe import TXTPipe
-from magic_pdf.libs.path_utils import (
-    parse_s3path,
-    parse_s3_range_params,
-    remove_non_official_s3_args,
-)
-from magic_pdf.libs.config_reader import (
-    get_local_dir,
-    get_s3_config,
-)
-from magic_pdf.rw.S3ReaderWriter import S3ReaderWriter
-from magic_pdf.rw.DiskReaderWriter import DiskReaderWriter
-from magic_pdf.rw.AbsReaderWriter import AbsReaderWriter
-import csv
-import copy
-import magic_pdf.model as model_config
-
-parse_pdf_methods = click.Choice(["ocr", "txt", "auto"])
-
-
-def prepare_env(pdf_file_name, method):
-    local_parent_dir = os.path.join(get_local_dir(), "magic-pdf", pdf_file_name, method)
-
-    local_image_dir = os.path.join(str(local_parent_dir), "images")
-    local_md_dir = local_parent_dir
-    os.makedirs(local_image_dir, exist_ok=True)
-    os.makedirs(local_md_dir, exist_ok=True)
-    return local_image_dir, local_md_dir
-
-
-def write_to_csv(csv_file_path, csv_data):
-    with open(csv_file_path, mode="a", newline="", encoding="utf-8") as csvfile:
-        # 创建csv writer对象
-        csv_writer = csv.writer(csvfile)
-        # 写入数据
-        csv_writer.writerow(csv_data)
-    logger.info(f"数据已成功追加到 '{csv_file_path}'")
-
-
-def do_parse(
-        pdf_file_name,
-        pdf_bytes,
-        model_list,
-        parse_method,
-        f_draw_span_bbox=True,
-        f_draw_layout_bbox=True,
-        f_dump_md=True,
-        f_dump_middle_json=True,
-        f_dump_model_json=True,
-        f_dump_orig_pdf=True,
-        f_dump_content_list=True,
-        f_make_md_mode=MakeMode.MM_MD,
-):
-
-    orig_model_list = copy.deepcopy(model_list)
-
-    local_image_dir, local_md_dir = prepare_env(pdf_file_name, parse_method)
-    image_writer, md_writer = DiskReaderWriter(local_image_dir), DiskReaderWriter(local_md_dir)
-    image_dir = str(os.path.basename(local_image_dir))
-
-    if parse_method == "auto":
-        jso_useful_key = {"_pdf_type": "", "model_list": model_list}
-        pipe = UNIPipe(pdf_bytes, jso_useful_key, image_writer, is_debug=True)
-    elif parse_method == "txt":
-        pipe = TXTPipe(pdf_bytes, model_list, image_writer, is_debug=True)
-    elif parse_method == "ocr":
-        pipe = OCRPipe(pdf_bytes, model_list, image_writer, is_debug=True)
-    else:
-        logger.error("unknown parse method")
-        exit(1)
-
-    pipe.pipe_classify()
-
-    """如果没有传入有效的模型数据，则使用内置model解析"""
-    if len(model_list) == 0:
-        if model_config.__use_inside_model__:
-            pipe.pipe_analyze()
-            orig_model_list = copy.deepcopy(pipe.model_list)
-        else:
-            logger.error("need model list input")
-            exit(1)
-
-    pipe.pipe_parse()
-    pdf_info = pipe.pdf_mid_data["pdf_info"]
-    if f_draw_layout_bbox:
-        draw_layout_bbox(pdf_info, pdf_bytes, local_md_dir)
-    if f_draw_span_bbox:
-        draw_span_bbox(pdf_info, pdf_bytes, local_md_dir)
-
-    md_content = pipe.pipe_mk_markdown(image_dir, drop_mode=DropMode.NONE, md_make_mode=f_make_md_mode)
-    if f_dump_md:
-        """写markdown"""
-        md_writer.write(
-            content=md_content,
-            path=f"{pdf_file_name}.md",
-            mode=AbsReaderWriter.MODE_TXT,
-        )
-
-    if f_dump_middle_json:
-        """写middle_json"""
-        md_writer.write(
-            content=json_parse.dumps(pipe.pdf_mid_data, ensure_ascii=False, indent=4),
-            path=f"{pdf_file_name}_middle.json",
-            mode=AbsReaderWriter.MODE_TXT,
-        )
-
-    if f_dump_model_json:
-        """写model_json"""
-        md_writer.write(
-            content=json_parse.dumps(orig_model_list, ensure_ascii=False, indent=4),
-            path=f"{pdf_file_name}_model.json",
-            mode=AbsReaderWriter.MODE_TXT,
-        )
-
-    if f_dump_orig_pdf:
-        """写源pdf"""
-        md_writer.write(
-            content=pdf_bytes,
-            path=f"{pdf_file_name}_origin.pdf",
-            mode=AbsReaderWriter.MODE_BIN,
-        )
-
-    content_list = pipe.pipe_mk_uni_format(image_dir, drop_mode=DropMode.NONE)
-    if f_dump_content_list:
-        """写content_list"""
-        md_writer.write(
-            content=json_parse.dumps(content_list, ensure_ascii=False, indent=4),
-            path=f"{pdf_file_name}_content_list.json",
-            mode=AbsReaderWriter.MODE_TXT,
-        )
-    logger.info(f"local output dir is '{local_md_dir}', you can found the result in it.")
-
-
-@click.group()
-@click.version_option(__version__, "--version", "-v", help="显示版本信息")
-@click.help_option("--help", "-h", help="显示帮助信息")
-def cli():
-    pass
-
-
-@cli.command()
-@click.option("--json", type=str, help="输入一个S3路径")
-@click.option(
-    "--method",
-    type=parse_pdf_methods,
-    help="指定解析方法。txt: 文本型 pdf 解析方法， ocr: 光学识别解析 pdf, auto: 程序智能选择解析方法",
-    default="auto",
-)
-@click.option("--inside_model", type=click.BOOL, default=True, help="使用内置模型测试")
-@click.option("--model_mode", type=click.STRING, default="full",
-              help="内置模型选择。lite: 快速解析，精度较低，full: 高精度解析，速度较慢")
-def json_command(json, method, inside_model, model_mode):
-    model_config.__use_inside_model__ = inside_model
-    model_config.__model_mode__ = model_mode
-
-    if not json.startswith("s3://"):
-        logger.error("usage: magic-pdf json-command --json s3://some_bucket/some_path")
-        exit(1)
-
-    def read_s3_path(s3path):
-        bucket, key = parse_s3path(s3path)
-
-        s3_ak, s3_sk, s3_endpoint = get_s3_config(bucket)
-        s3_rw = S3ReaderWriter(
-            s3_ak, s3_sk, s3_endpoint, "auto", remove_non_official_s3_args(s3path)
-        )
-        may_range_params = parse_s3_range_params(s3path)
-        if may_range_params is None or 2 != len(may_range_params):
-            byte_start, byte_end = 0, None
-        else:
-            byte_start, byte_end = int(may_range_params[0]), int(may_range_params[1])
-            byte_end += byte_start - 1
-        return s3_rw.read_jsonl(
-            remove_non_official_s3_args(s3path),
-            byte_start,
-            byte_end,
-            AbsReaderWriter.MODE_BIN,
-        )
-
-    jso = json_parse.loads(read_s3_path(json).decode("utf-8"))
-    s3_file_path = jso.get("file_location")
-    if s3_file_path is None:
-        s3_file_path = jso.get("path")
-    pdf_file_name = Path(s3_file_path).stem
-    pdf_data = read_s3_path(s3_file_path)
-
-    do_parse(
-        pdf_file_name,
-        pdf_data,
-        jso["doc_layout_result"],
-        method,
-    )
-
-
-@cli.command()
-@click.option("--local_json", type=str, help="输入一个本地jsonl路径")
-@click.option(
-    "--method",
-    type=parse_pdf_methods,
-    help="指定解析方法。txt: 文本型 pdf 解析方法， ocr: 光学识别解析 pdf, auto: 程序智能选择解析方法",
-    default="auto",
-)
-@click.option("--inside_model", type=click.BOOL, default=True, help="使用内置模型测试")
-@click.option("--model_mode", type=click.STRING, default="full",
-              help="内置模型选择。lite: 快速解析，精度较低，full: 高精度解析，速度较慢")
-def local_json_command(local_json, method, inside_model, model_mode):
-    model_config.__use_inside_model__ = inside_model
-    model_config.__model_mode__ = model_mode
-
-    def read_s3_path(s3path):
-        bucket, key = parse_s3path(s3path)
-
-        s3_ak, s3_sk, s3_endpoint = get_s3_config(bucket)
-        s3_rw = S3ReaderWriter(
-            s3_ak, s3_sk, s3_endpoint, "auto", remove_non_official_s3_args(s3path)
-        )
-        may_range_params = parse_s3_range_params(s3path)
-        if may_range_params is None or 2 != len(may_range_params):
-            byte_start, byte_end = 0, None
-        else:
-            byte_start, byte_end = int(may_range_params[0]), int(may_range_params[1])
-            byte_end += byte_start - 1
-        return s3_rw.read_jsonl(
-            remove_non_official_s3_args(s3path),
-            byte_start,
-            byte_end,
-            AbsReaderWriter.MODE_BIN,
-        )
-
-    with open(local_json, "r", encoding="utf-8") as f:
-        for json_line in f:
-            jso = json_parse.loads(json_line)
-
-            s3_file_path = jso.get("file_location")
-            if s3_file_path is None:
-                s3_file_path = jso.get("path")
-            pdf_file_name = Path(s3_file_path).stem
-            pdf_data = read_s3_path(s3_file_path)
-            do_parse(
-                pdf_file_name,
-                pdf_data,
-                jso["doc_layout_result"],
-                method,
-            )
-
-
-@cli.command()
-@click.option(
-    "--pdf", type=click.Path(exists=True), required=True,
-    help='pdf 文件路径, 支持单个文件或文件列表, 文件列表需要以".list"结尾, 一行一个pdf文件路径')
-@click.option("--model", type=click.Path(exists=True), help="模型的路径")
-@click.option(
-    "--method",
-    type=parse_pdf_methods,
-    help="指定解析方法。txt: 文本型 pdf 解析方法， ocr: 光学识别解析 pdf, auto: 程序智能选择解析方法",
-    default="auto",
-)
-@click.option("--inside_model", type=click.BOOL, default=True, help="使用内置模型测试")
-@click.option("--model_mode", type=click.STRING, default="full",
-              help="内置模型选择。lite: 快速解析，精度较低，full: 高精度解析，速度较慢")
-def pdf_command(pdf, model, method, inside_model, model_mode):
-    model_config.__use_inside_model__ = inside_model
-    model_config.__model_mode__ = model_mode
-
-    def read_fn(path):
-        disk_rw = DiskReaderWriter(os.path.dirname(path))
-        return disk_rw.read(os.path.basename(path), AbsReaderWriter.MODE_BIN)
-
-    def get_model_json(model_path, doc_path):
-        # 这里处理pdf和模型相关的逻辑
-        if model_path is None:
-            file_name_without_extension, extension = os.path.splitext(doc_path)
-            if extension == ".pdf":
-                model_path = file_name_without_extension + ".json"
-            else:
-                raise Exception("pdf_path input error")
-            if not os.path.exists(model_path):
-                logger.warning(
-                    f"not found json {model_path} existed"
-                )
-                # 本地无模型数据则调用内置paddle分析，先传空list，在内部识别到空list再调用paddle
-                model_json = "[]"
-            else:
-                model_json = read_fn(model_path).decode("utf-8")
-        else:
-            model_json = read_fn(model_path).decode("utf-8")
-
-        return model_json
-
-    def parse_doc(doc_path):
-        try:
-            file_name = str(Path(doc_path).stem)
-            pdf_data = read_fn(doc_path)
-            jso = json_parse.loads(get_model_json(model, doc_path))
-
-            do_parse(
-                file_name,
-                pdf_data,
-                jso,
-                method,
-            )
-
-        except Exception as e:
-            logger.exception(e)
-
-    if not pdf:
-        logger.error(f"Error: Missing argument '--pdf'.")
-        exit(f"Error: Missing argument '--pdf'.")
-    else:
-        '''适配多个文档的list文件输入'''
-        if pdf.endswith(".list"):
-            with open(pdf, "r") as f:
-                for line in f.readlines():
-                    line = line.strip()
-                    parse_doc(line)
-        else:
-            '''适配单个文档的输入'''
-            parse_doc(pdf)
-
-
-if __name__ == "__main__":
-    """
-    python magic_pdf/cli/magicpdf.py json-command --json s3://llm-pdf-text/pdf_ebook_and_paper/manual/v001/part-660407a28beb-000002.jsonl?bytes=0,63551
-    """
-    cli()