fast_api.py 6.8 KB
Newer Older
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
import uuid
import os
from base64 import b64encode

import uvicorn
import argparse
from pathlib import Path
from glob import glob
from fastapi import FastAPI, UploadFile, File, Form
from fastapi.responses import JSONResponse
from typing import List, Optional

from loguru import logger

from mineru.cli.common import aio_do_parse, read_fn
from mineru.version import __version__

app = FastAPI()


def encode_image(image_path: str) -> str:
    """Encode image using base64"""
    with open(image_path, "rb") as f:
        return b64encode(f.read()).decode()


@app.post(path="/file_parse",)
async def parse_pdf(
        files: List[UploadFile] = File(...),
        output_dir: str = Form("./output"),
        lang_list: List[str] = Form(["ch"]),
        backend: str = Form("pipeline"),
        parse_method: str = Form("auto"),
        formula_enable: bool = Form(True),
        table_enable: bool = Form(True),
        server_url: Optional[str] = Form(None),
        reuturn_md: bool = Form(True),
        reuturn_middle_json: bool = Form(False),
        return_model_output: bool = Form(False),
        reuturn_content_list: bool = Form(False),
        return_images: bool = Form(False),
        start_page_id: int = Form(0),
        end_page_id: int = Form(99999),
):
    try:
        # 创建唯一的输出目录
        unique_dir = os.path.join(output_dir, str(uuid.uuid4()))
        os.makedirs(unique_dir, exist_ok=True)

        # 处理上传的PDF文件
        pdf_file_names = []
        pdf_bytes_list = []

        for file in files:
            content = await file.read()
            file_path = Path(file.filename)

            # 如果是图像文件或PDF,使用read_fn处理
            if file_path.suffix.lower() in [".pdf", ".png", ".jpeg", ".jpg"]:
                # 创建临时文件以便使用read_fn
                temp_path = Path(unique_dir) / file_path.name
                with open(temp_path, "wb") as f:
                    f.write(content)

                try:
                    pdf_bytes = read_fn(temp_path)
                    pdf_bytes_list.append(pdf_bytes)
                    pdf_file_names.append(file_path.stem)
                    os.remove(temp_path)  # 删除临时文件
                except Exception as e:
                    return JSONResponse(
                        status_code=400,
                        content={"error": f"处理文件失败: {str(e)}"}
                    )
            else:
                return JSONResponse(
                    status_code=400,
                    content={"error": f"不支持的文件类型: {file_path.suffix}"}
                )


        # 设置语言列表,确保与文件数量一致
        actual_lang_list = lang_list
        if len(actual_lang_list) != len(pdf_file_names):
            # 如果语言列表长度不匹配,使用第一个语言或默认"ch"
            actual_lang_list = [actual_lang_list[0] if actual_lang_list else "ch"] * len(pdf_file_names)

        # 调用异步处理函数
        await aio_do_parse(
            output_dir=unique_dir,
            pdf_file_names=pdf_file_names,
            pdf_bytes_list=pdf_bytes_list,
            p_lang_list=actual_lang_list,
            backend=backend,
            parse_method=parse_method,
            p_formula_enable=formula_enable,
            p_table_enable=table_enable,
            server_url=server_url,
            f_draw_layout_bbox=False,
            f_draw_span_bbox=False,
            f_dump_md=reuturn_md,
            f_dump_middle_json=reuturn_middle_json,
            f_dump_model_output=return_model_output,
            f_dump_orig_pdf=False,
            f_dump_content_list=reuturn_content_list,
            start_page_id=start_page_id,
            end_page_id=end_page_id,
        )

        # 构建结果路径
        result_dict = {}
        for pdf_name in pdf_file_names:
            result_dict[pdf_name] = {}
            data = result_dict[pdf_name]

            if backend.startswith("pipeline"):
                parse_dir = os.path.join(unique_dir, pdf_name, parse_method)
            else:
                parse_dir = os.path.join(unique_dir, pdf_name, "vlm")

            def get_infer_result(file_suffix_identifier: str):
                """从结果文件中读取推理结果"""
                result_file_path = os.path.join(parse_dir, f"{pdf_name}{file_suffix_identifier}")
                if os.path.exists(result_file_path):
                    with open(result_file_path, "r", encoding="utf-8") as fp:
                        return fp.read()
                return None


            if os.path.exists(parse_dir):
                if reuturn_md:
                    data["md_content"] = get_infer_result(".md")
                if reuturn_middle_json:
                    data["middle_json"] = get_infer_result("_middle.json")
                if return_model_output:
                    if backend.startswith("pipeline"):
                        data["model_output"] = get_infer_result("_model.json")
                    else:
                        data["model_output"] = get_infer_result("_model_output.txt")
                if reuturn_content_list:
                    data["content_list"] = get_infer_result("_content_list.json")
                if return_images:
                    image_paths = glob(f"{parse_dir}/images/*.jpg")
                    data["images"] = {
                        os.path.basename(
                            image_path
                        ): f"data:image/jpeg;base64,{encode_image(image_path)}"
                        for image_path in image_paths
                    }
        return JSONResponse(
            status_code=200,
            content={
                "backend": backend,
                "version": __version__,
                "results": result_dict
            }
        )
    except Exception as e:
        logger.exception(e)
        return JSONResponse(
            status_code=500,
            content={"error": str(e)}
        )


def main():
    """启动MinerU FastAPI服务器的命令行入口"""
    parser = argparse.ArgumentParser(description='Start MinerU FastAPI Service')
    parser.add_argument('--host', type=str, default='127.0.0.1', help='Server host (default: 127.0.0.1)')
    parser.add_argument('--port', type=int, default=8000, help='Server port (default: 8000)')
    parser.add_argument('--reload', action='store_true', help='Enable auto-reload (development mode)')
    args = parser.parse_args()

    print(f"Start MinerU FastAPI Service: http://{args.host}:{args.port}")
    print("The API documentation can be accessed at the following address:")
    print(f"- Swagger UI: http://{args.host}:{args.port}/docs")
    print(f"- ReDoc: http://{args.host}:{args.port}/redoc")

    uvicorn.run(
        "mineru.cli.fast_api:app",
        host=args.host,
        port=args.port,
        reload=args.reload
    )


if __name__ == "__main__":
    main()