feat: add [figure | table] match [caption | footnote] match algorithm v2

feat: add Data api

.gitignore

-*.tar
-*.tar.gz
-*.zip
-venv*/
-envs/
-slurm_logs/
-
-sync1.sh
-data_preprocess_pj1
-data-preparation1
-__pycache__
-*.log
-*.pyc
-.vscode
-debug/
-*.ipynb
-.idea
-
-# vscode history
-.history
-
-.DS_Store
-.env
-
-bad_words/
-bak/
-
-app/tests/*
-temp/
-tmp/
-tmp
-.vscode
-.vscode/
-ocr_demo
-.coveragerc
-/app/common/__init__.py
-/magic_pdf/config/__init__.py
-source.dev.env
-
-tmp
-
-projects/web/node_modules
-projects/web/dist
-
-projects/web_demo/web_demo/static/
+*.tar
+*.tar.gz
+*.zip
+venv*/
+envs/
+slurm_logs/
+
+sync1.sh
+data_preprocess_pj1
+data-preparation1
+__pycache__
+*.log
+*.pyc
+.vscode
+debug/
+*.ipynb
+.idea
+
+# vscode history
+.history
+
+.DS_Store
+.env
+
+bad_words/
+bak/
+
+app/tests/*
+temp/
+tmp/
+tmp
+.vscode
+.vscode/
+ocr_demo
+.coveragerc
+/app/common/__init__.py
+/magic_pdf/config/__init__.py
+source.dev.env
+
+tmp
+
+projects/web/node_modules
+projects/web/dist
+
+projects/web_demo/web_demo/static/
+cli_debug/
+debug_utils/
+
+# sphinx docs
+_build/

.pre-commit-config.yaml

@@ -3,7 +3,7 @@ repos:
     rev: 5.0.4
     hooks:
       - id: flake8
-        args: ["--max-line-length=120", "--ignore=E131,E125,W503,W504,E203"]
+        args: ["--max-line-length=150", "--ignore=E131,E125,W503,W504,E203"]
   - repo: https://github.com/PyCQA/isort
     rev: 5.11.5
     hooks:
@@ -12,11 +12,12 @@ repos:
     rev: v0.32.0
     hooks:
       - id: yapf
-        args: ["--style={based_on_style: google, column_limit: 120, indent_width: 4}"]
+        args: ["--style={based_on_style: google, column_limit: 150, indent_width: 4}"]
   - repo: https://github.com/codespell-project/codespell
     rev: v2.2.1
     hooks:
       - id: codespell
+        args: ['--skip', '*.json']
   - repo: https://github.com/pre-commit/pre-commit-hooks
     rev: v4.3.0
     hooks:

docs/en/api.rst

+Data Api
+------------------
+
+.. toctree::
+   :maxdepth: 2
+
+   api/dataset.rst
+   api/data_reader_writer.rst
+   api/read_api.rst

docs/en/api/data_reader_writer.rst

+
+Data Reader Writer
+--------------------
+
+.. autoclass:: magic_pdf.data.data_reader_writer.DataReader
+   :members:
+   :inherited-members:
+
+.. autoclass:: magic_pdf.data.data_reader_writer.DataWriter
+   :members:
+   :inherited-members:
+
+.. autoclass:: magic_pdf.data.data_reader_writer.S3DataReader
+   :members:
+   :inherited-members:
+
+.. autoclass:: magic_pdf.data.data_reader_writer.S3DataWriter
+   :members:
+   :inherited-members:
+
+.. autoclass:: magic_pdf.data.data_reader_writer.FileBasedDataReader
+   :members:
+   :inherited-members:
+
+.. autoclass:: magic_pdf.data.data_reader_writer.FileBasedDataWriter
+   :members:
+   :inherited-members:
+
+.. autoclass:: magic_pdf.data.data_reader_writer.S3DataReader
+   :members:
+   :inherited-members:
+
+.. autoclass:: magic_pdf.data.data_reader_writer.S3DataWriter
+   :members:
+   :inherited-members:
+
+.. autoclass:: magic_pdf.data.data_reader_writer.MultiBucketS3DataReader
+   :members:
+   :inherited-members:
+
+.. autoclass:: magic_pdf.data.data_reader_writer.MultiBucketS3DataWriter
+   :members:
+   :inherited-members:
+

docs/en/api/dataset.rst

+Dataset Api
+------------------
+
+.. autoclass:: magic_pdf.data.dataset.PageableData
+   :members:
+   :inherited-members:
+
+.. autoclass:: magic_pdf.data.dataset.Dataset
+   :members:
+   :inherited-members:
+
+.. autoclass:: magic_pdf.data.dataset.ImageDataset
+   :members:
+   :inherited-members:
+
+.. autoclass:: magic_pdf.data.dataset.PymuDocDataset
+   :members:
+   :inherited-members:
+
+.. autoclass:: magic_pdf.data.dataset.Image
+   :members:
+   :inherited-members:
+
+.. autoclass:: magic_pdf.data.dataset.Doc
+   :members:
+   :inherited-members:
+

docs/en/api/read_api.rst

+read_api Api
+------------------
+
+.. automodule:: magic_pdf.data.dataset.read_api
+   :members:
+   :inherited-members:

docs/en/api/utils.rst

+

docs/en/index.rst

@@ -24,3 +24,15 @@ Welcome to the MinerU Documentation
    <a class="github-button" href="https://github.com/opendatalab/MinerU/subscription" data-icon="octicon-eye" data-size="large" aria-label="Watch">Watch</a>
    <a class="github-button" href="https://github.com/opendatalab/MinerU/fork" data-icon="octicon-repo-forked" data-size="large" aria-label="Fork">Fork</a>
    </p>
+
+
+API Reference
+-------------
+
+If you are looking for information on a specific function, class or
+method, this part of the documentation is for you.
+
+.. toctree::
+   :maxdepth: 2
+
+   api

magic_pdf/config/enums.py

+
+import enum
+
+
+class SupportedPdfParseMethod(enum.Enum):
+    OCR = 'ocr'
+    TXT = 'txt'

magic_pdf/config/exceptions.py

+
+class FileNotExisted(Exception):
+
+    def __init__(self, path):
+        self.path = path
+
+    def __str__(self):
+        return f'File {self.path} does not exist.'
+
+
+class InvalidConfig(Exception):
+    def __init__(self, msg):
+        self.msg = msg
+
+    def __str__(self):
+        return f'Invalid config: {self.msg}'
+
+
+class InvalidParams(Exception):
+    def __init__(self, msg):
+        self.msg = msg
+
+    def __str__(self):
+        return f'Invalid params: {self.msg}'
+
+
+class EmptyData(Exception):
+    def __init__(self, msg):
+        self.msg = msg
+
+    def __str__(self):
+        return f'Empty data: {self.msg}'

magic_pdf/data/data_reader_writer/__init__.py

+from magic_pdf.data.data_reader_writer.filebase import \
+    FileBasedDataReader  # noqa: F401
+from magic_pdf.data.data_reader_writer.filebase import \
+    FileBasedDataWriter  # noqa: F401
+from magic_pdf.data.data_reader_writer.multi_bucket_s3 import \
+    MultiBucketS3DataReader  # noqa: F401
+from magic_pdf.data.data_reader_writer.multi_bucket_s3 import \
+    MultiBucketS3DataWriter  # noqa: F401
+from magic_pdf.data.data_reader_writer.s3 import S3DataReader  # noqa: F401
+from magic_pdf.data.data_reader_writer.s3 import S3DataWriter  # noqa: F401
+from magic_pdf.data.data_reader_writer.base import DataReader  # noqa: F401
+from magic_pdf.data.data_reader_writer.base import DataWriter  # noqa: F401
\ No newline at end of file

magic_pdf/data/data_reader_writer/base.py

+
+from abc import ABC, abstractmethod
+
+
+class DataReader(ABC):
+
+    def read(self, path: str) -> bytes:
+        """Read the file.
+
+        Args:
+            path (str): file path to read
+
+        Returns:
+            bytes: the content of the file
+        """
+        return self.read_at(path)
+
+    @abstractmethod
+    def read_at(self, path: str, offset: int = 0, limit: int = -1) -> bytes:
+        """Read the file at offset and limit.
+
+        Args:
+            path (str): the file path
+            offset (int, optional): the number of bytes skipped. Defaults to 0.
+            limit (int, optional): the length of bytes want to read. Defaults to -1.
+
+        Returns:
+            bytes: the content of the file
+        """
+        pass
+
+
+class DataWriter(ABC):
+    @abstractmethod
+    def write(self, path: str, data: bytes) -> None:
+        """Write the data to the file.
+
+        Args:
+            path (str): the target file where to write
+            data (bytes): the data want to write
+        """
+        pass
+
+    def write_string(self, path: str, data: str) -> None:
+        """Write the data to file, the data will be encoded to bytes.
+
+        Args:
+            path (str): the target file where to write
+            data (str): the data want to write
+        """
+        self.write(path, data.encode())

magic_pdf/data/data_reader_writer/filebase.py

+import os
+
+from magic_pdf.data.data_reader_writer.base import DataReader, DataWriter
+
+
+class FileBasedDataReader(DataReader):
+    def __init__(self, parent_dir: str = ''):
+        """Initialized with parent_dir.
+
+        Args:
+            parent_dir (str, optional): the parent directory that may be used within methods. Defaults to ''.
+        """
+        self._parent_dir = parent_dir
+
+    def read_at(self, path: str, offset: int = 0, limit: int = -1) -> bytes:
+        """Read at offset and limit.
+
+        Args:
+            path (str): the path of file, if the path is relative path, it will be joined with parent_dir.
+            offset (int, optional): the number of bytes skipped. Defaults to 0.
+            limit (int, optional): the length of bytes want to read. Defaults to -1.
+
+        Returns:
+            bytes: the content of file
+        """
+        fn_path = path
+        if not os.path.isabs(fn_path) and len(self._parent_dir) > 0:
+            fn_path = os.path.join(self._parent_dir, path)
+
+        with open(fn_path, 'rb') as f:
+            f.seek(offset)
+            if limit == -1:
+                return f.read()
+            else:
+                return f.read(limit)
+
+
+class FileBasedDataWriter(DataWriter):
+    def __init__(self, parent_dir: str = '') -> None:
+        """Initialized with parent_dir.
+
+        Args:
+            parent_dir (str, optional): the parent directory that may be used within methods. Defaults to ''.
+        """
+        self._parent_dir = parent_dir
+
+    def write(self, path: str, data: bytes) -> None:
+        """Write file with data.
+
+        Args:
+            path (str): the path of file, if the path is relative path, it will be joined with parent_dir.
+            data (bytes): the data want to write
+        """
+        fn_path = path
+        if not os.path.isabs(fn_path) and len(self._parent_dir) > 0:
+            fn_path = os.path.join(self._parent_dir, path)
+
+        with open(fn_path, 'wb') as f:
+            f.write(data)

magic_pdf/data/data_reader_writer/multi_bucket_s3.py

+from magic_pdf.config.exceptions import InvalidConfig, InvalidParams
+from magic_pdf.data.data_reader_writer.base import DataReader, DataWriter
+from magic_pdf.data.io.s3 import S3Reader, S3Writer
+from magic_pdf.data.schemas import S3Config
+from magic_pdf.libs.path_utils import (parse_s3_range_params, parse_s3path,
+                                       remove_non_official_s3_args)
+
+
+class MultiS3Mixin:
+    def __init__(self, default_bucket: str, s3_configs: list[S3Config]):
+        """Initialized with multiple s3 configs.
+
+        Args:
+            default_bucket (str): the default bucket name of the relative path
+            s3_configs (list[S3Config]): list of s3 configs, the bucket_name must be unique in the list.
+
+        Raises:
+            InvalidConfig: default bucket config not in s3_configs
+            InvalidConfig: bucket name not unique in s3_configs
+            InvalidConfig: default bucket must be provided
+        """
+        if len(default_bucket) == 0:
+            raise InvalidConfig('default_bucket must be provided')
+
+        found_default_bucket_config = False
+        for conf in s3_configs:
+            if conf.bucket_name == default_bucket:
+                found_default_bucket_config = True
+                break
+
+        if not found_default_bucket_config:
+            raise InvalidConfig(
+                f'default_bucket: {default_bucket} config must be provided in s3_configs: {s3_configs}'
+            )
+
+        uniq_bucket = set([conf.bucket_name for conf in s3_configs])
+        if len(uniq_bucket) != len(s3_configs):
+            raise InvalidConfig(
+                f'the bucket_name in s3_configs: {s3_configs} must be unique'
+            )
+
+        self.default_bucket = default_bucket
+        self.s3_configs = s3_configs
+        self._s3_clients_h: dict = {}
+
+
+class MultiBucketS3DataReader(DataReader, MultiS3Mixin):
+    def read(self, path: str) -> bytes:
+        """Read the path from s3, select diffect bucket client for each request
+        based on the path, also support range read.
+
+        Args:
+            path (str): the s3 path of file, the path must be in the format of s3://bucket_name/path?offset,limit
+            for example: s3://bucket_name/path?0,100
+
+        Returns:
+            bytes: the content of s3 file
+        """
+        may_range_params = parse_s3_range_params(path)
+        if may_range_params is None or 2 != len(may_range_params):
+            byte_start, byte_len = 0, -1
+        else:
+            byte_start, byte_len = int(may_range_params[0]), int(may_range_params[1])
+        path = remove_non_official_s3_args(path)
+        return self.read_at(path, byte_start, byte_len)
+
+    def __get_s3_client(self, bucket_name: str):
+        if bucket_name not in set([conf.bucket_name for conf in self.s3_configs]):
+            raise InvalidParams(
+                f'bucket name: {bucket_name} not found in s3_configs: {self.s3_configs}'
+            )
+        if bucket_name not in self._s3_clients_h:
+            conf = next(
+                filter(lambda conf: conf.bucket_name == bucket_name, self.s3_configs)
+            )
+            self._s3_clients_h[bucket_name] = S3Reader(
+                bucket_name,
+                conf.access_key,
+                conf.secret_key,
+                conf.endpoint_url,
+                conf.addressing_style,
+            )
+        return self._s3_clients_h[bucket_name]
+
+    def read_at(self, path: str, offset: int = 0, limit: int = -1) -> bytes:
+        """Read the file with offset and limit, select diffect bucket client
+        for each request based on the path.
+
+        Args:
+            path (str): the file path
+            offset (int, optional): the number of bytes skipped. Defaults to 0.
+            limit (int, optional): the number of bytes want to read. Defaults to -1 which means infinite.
+
+        Returns:
+            bytes: the file content
+        """
+        if path.startswith('s3://'):
+            bucket_name, path = parse_s3path(path)
+            s3_reader = self.__get_s3_client(bucket_name)
+        else:
+            s3_reader = self.__get_s3_client(self.default_bucket)
+        return s3_reader.read_at(path, offset, limit)
+
+
+class MultiBucketS3DataWriter(DataWriter, MultiS3Mixin):
+    def __get_s3_client(self, bucket_name: str):
+        if bucket_name not in set([conf.bucket_name for conf in self.s3_configs]):
+            raise InvalidParams(
+                f'bucket name: {bucket_name} not found in s3_configs: {self.s3_configs}'
+            )
+        if bucket_name not in self._s3_clients_h:
+            conf = next(
+                filter(lambda conf: conf.bucket_name == bucket_name, self.s3_configs)
+            )
+            self._s3_clients_h[bucket_name] = S3Writer(
+                bucket_name,
+                conf.access_key,
+                conf.secret_key,
+                conf.endpoint_url,
+                conf.addressing_style,
+            )
+        return self._s3_clients_h[bucket_name]
+
+    def write(self, path: str, data: bytes) -> None:
+        """Write file with data, also select diffect bucket client for each
+        request based on the path.
+
+        Args:
+            path (str): the path of file, if the path is relative path, it will be joined with parent_dir.
+            data (bytes): the data want to write
+        """
+        if path.startswith('s3://'):
+            bucket_name, path = parse_s3path(path)
+            s3_writer = self.__get_s3_client(bucket_name)
+        else:
+            s3_writer = self.__get_s3_client(self.default_bucket)
+        return s3_writer.write(path, data)

magic_pdf/data/data_reader_writer/s3.py

+from magic_pdf.data.data_reader_writer.multi_bucket_s3 import (
+    MultiBucketS3DataReader, MultiBucketS3DataWriter)
+from magic_pdf.data.schemas import S3Config
+
+
+class S3DataReader(MultiBucketS3DataReader):
+    def __init__(
+        self,
+        bucket: str,
+        ak: str,
+        sk: str,
+        endpoint_url: str,
+        addressing_style: str = 'auto',
+    ):
+        """s3 reader client.
+
+        Args:
+            bucket (str): bucket name
+            ak (str): access key
+            sk (str): secret key
+            endpoint_url (str): endpoint url of s3
+            addressing_style (str, optional): Defaults to 'auto'. Other valid options here are 'path' and 'virtual'
+            refer to https://boto3.amazonaws.com/v1/documentation/api/1.9.42/guide/s3.html
+        """
+        super().__init__(
+            bucket,
+            [
+                S3Config(
+                    bucket_name=bucket,
+                    access_key=ak,
+                    secret_key=sk,
+                    endpoint_url=endpoint_url,
+                    addressing_style=addressing_style,
+                )
+            ],
+        )
+
+
+class S3DataWriter(MultiBucketS3DataWriter):
+    def __init__(
+        self,
+        bucket: str,
+        ak: str,
+        sk: str,
+        endpoint_url: str,
+        addressing_style: str = 'auto',
+    ):
+        """s3 writer client.
+
+        Args:
+            bucket (str): bucket name
+            ak (str): access key
+            sk (str): secret key
+            endpoint_url (str): endpoint url of s3
+            addressing_style (str, optional): Defaults to 'auto'. Other valid options here are 'path' and 'virtual'
+            refer to https://boto3.amazonaws.com/v1/documentation/api/1.9.42/guide/s3.html
+        """
+        super().__init__(
+            bucket,
+            [
+                S3Config(
+                    bucket_name=bucket,
+                    access_key=ak,
+                    secret_key=sk,
+                    endpoint_url=endpoint_url,
+                    addressing_style=addressing_style,
+                )
+            ],
+        )

magic_pdf/data/dataset.py

+from abc import ABC, abstractmethod
+from typing import Iterator
+
+import fitz
+
+from magic_pdf.config.enums import SupportedPdfParseMethod
+from magic_pdf.data.schemas import PageInfo
+from magic_pdf.data.utils import fitz_doc_to_image
+
+
+class PageableData(ABC):
+    @abstractmethod
+    def get_image(self) -> dict:
+        """Transform data to image."""
+        pass
+
+    @abstractmethod
+    def get_doc(self) -> fitz.Page:
+        """Get the pymudoc page."""
+        pass
+
+    @abstractmethod
+    def get_page_info(self) -> PageInfo:
+        """Get the page info of the page.
+
+        Returns:
+            PageInfo: the page info of this page
+        """
+        pass
+
+
+class Dataset(ABC):
+    @abstractmethod
+    def __len__(self) -> int:
+        """The length of the dataset."""
+        pass
+
+    @abstractmethod
+    def __iter__(self) -> Iterator[PageableData]:
+        """Yield the page data."""
+        pass
+
+    @abstractmethod
+    def supported_methods(self) -> list[SupportedPdfParseMethod]:
+        """The methods that this dataset support.
+
+        Returns:
+            list[SupportedPdfParseMethod]: The supported methods, Valid methods are: OCR, TXT
+        """
+        pass
+
+    @abstractmethod
+    def data_bits(self) -> bytes:
+        """The bits used to create this dataset."""
+        pass
+
+    @abstractmethod
+    def get_page(self, page_id: int) -> PageableData:
+        """Get the page indexed by page_id.
+
+        Args:
+            page_id (int): the index of the page
+
+        Returns:
+            PageableData: the page doc object
+        """
+        pass
+
+
+class PymuDocDataset(Dataset):
+    def __init__(self, bits: bytes):
+        """Initialize the dataset, which wraps the pymudoc documents.
+
+        Args:
+            bits (bytes): the bytes of the pdf
+        """
+        self._records = [Doc(v) for v in fitz.open('pdf', bits)]
+        self._data_bits = bits
+        self._raw_data = bits
+
+    def __len__(self) -> int:
+        """The page number of the pdf."""
+        return len(self._records)
+
+    def __iter__(self) -> Iterator[PageableData]:
+        """Yield the page doc object."""
+        return iter(self._records)
+
+    def supported_methods(self) -> list[SupportedPdfParseMethod]:
+        """The method supported by this dataset.
+
+        Returns:
+            list[SupportedPdfParseMethod]: the supported methods
+        """
+        return [SupportedPdfParseMethod.OCR, SupportedPdfParseMethod.TXT]
+
+    def data_bits(self) -> bytes:
+        """The pdf bits used to create this dataset."""
+        return self._data_bits
+
+    def get_page(self, page_id: int) -> PageableData:
+        """The page doc object.
+
+        Args:
+            page_id (int): the page doc index
+
+        Returns:
+            PageableData: the page doc object
+        """
+        return self._records[page_id]
+
+
+class ImageDataset(Dataset):
+    def __init__(self, bits: bytes):
+        """Initialize the dataset, which wraps the pymudoc documents.
+
+        Args:
+            bits (bytes): the bytes of the photo which will be converted to pdf first. then converted to pymudoc.
+        """
+        pdf_bytes = fitz.open(stream=bits).convert_to_pdf()
+        self._records = [Doc(v) for v in fitz.open('pdf', pdf_bytes)]
+        self._raw_data = bits
+        self._data_bits = pdf_bytes
+
+    def __len__(self) -> int:
+        """The length of the dataset."""
+        return len(self._records)
+
+    def __iter__(self) -> Iterator[PageableData]:
+        """Yield the page object."""
+        return iter(self._records)
+
+    def supported_methods(self):
+        """The method supported by this dataset.
+
+        Returns:
+            list[SupportedPdfParseMethod]: the supported methods
+        """
+        return [SupportedPdfParseMethod.OCR]
+
+    def data_bits(self) -> bytes:
+        """The pdf bits used to create this dataset."""
+        return self._data_bits
+
+    def get_page(self, page_id: int) -> PageableData:
+        """The page doc object.
+
+        Args:
+            page_id (int): the page doc index
+
+        Returns:
+            PageableData: the page doc object
+        """
+        return self._records[page_id]
+
+
+class Doc(PageableData):
+    """Initialized with pymudoc object."""
+    def __init__(self, doc: fitz.Page):
+        self._doc = doc
+
+    def get_image(self):
+        """Return the imge info.
+
+        Returns:
+            dict: {
+                img: np.ndarray,
+                width: int,
+                height: int
+            }
+        """
+        return fitz_doc_to_image(self._doc)
+
+    def get_doc(self) -> fitz.Page:
+        """Get the pymudoc object.
+
+        Returns:
+            fitz.Page: the pymudoc object
+        """
+        return self._doc
+
+    def get_page_info(self) -> PageInfo:
+        """Get the page info of the page.
+
+        Returns:
+            PageInfo: the page info of this page
+        """
+        page_w = self._doc.rect.width
+        page_h = self._doc.rect.height
+        return PageInfo(w=page_w, h=page_h)
+
+    def __getattr__(self, name):
+        if hasattr(self._doc, name):
+            return getattr(self._doc, name)

magic_pdf/data/io/base.py

+from abc import ABC, abstractmethod
+
+
+class IOReader(ABC):
+    @abstractmethod
+    def read(self, path: str) -> bytes:
+        """Read the file.
+
+        Args:
+            path (str): file path to read
+
+        Returns:
+            bytes: the content of the file
+        """
+        pass
+
+    @abstractmethod
+    def read_at(self, path: str, offset: int = 0, limit: int = -1) -> bytes:
+        """Read at offset and limit.
+
+        Args:
+            path (str): the path of file, if the path is relative path, it will be joined with parent_dir.
+            offset (int, optional): the number of bytes skipped. Defaults to 0.
+            limit (int, optional): the length of bytes want to read. Defaults to -1.
+
+        Returns:
+            bytes: the content of file
+        """
+        pass
+
+
+class IOWriter:
+
+    @abstractmethod
+    def write(self, path: str, data: bytes) -> None:
+        """Write file with data.
+
+        Args:
+            path (str): the path of file, if the path is relative path, it will be joined with parent_dir.
+            data (bytes): the data want to write
+        """
+        pass

magic_pdf/data/io/http.py

+
+import io
+
+import requests
+
+from magic_pdf.data.io.base import IOReader, IOWriter
+
+
+class HttpReader(IOReader):
+
+    def read(self, url: str) -> bytes:
+        """Read the file.
+
+        Args:
+            path (str): file path to read
+
+        Returns:
+            bytes: the content of the file
+        """
+        return requests.get(url).content
+
+    def read_at(self, path: str, offset: int = 0, limit: int = -1) -> bytes:
+        """Not Implemented."""
+        raise NotImplementedError
+
+
+class HttpWriter(IOWriter):
+    def write(self, url: str, data: bytes) -> None:
+        """Write file with data.
+
+        Args:
+            path (str): the path of file, if the path is relative path, it will be joined with parent_dir.
+            data (bytes): the data want to write
+        """
+        files = {'file': io.BytesIO(data)}
+        response = requests.post(url, files=files)
+        assert 300 > response.status_code and response.status_code > 199

magic_pdf/data/io/s3.py

+import boto3
+from botocore.config import Config
+
+from magic_pdf.data.io.base import IOReader, IOWriter
+
+
+class S3Reader(IOReader):
+    def __init__(
+        self,
+        bucket: str,
+        ak: str,
+        sk: str,
+        endpoint_url: str,
+        addressing_style: str = 'auto',
+    ):
+        """s3 reader client.
+
+        Args:
+            bucket (str): bucket name
+            ak (str): access key
+            sk (str): secret key
+            endpoint_url (str): endpoint url of s3
+            addressing_style (str, optional): Defaults to 'auto'. Other valid options here are 'path' and 'virtual'
+            refer to https://boto3.amazonaws.com/v1/documentation/api/1.9.42/guide/s3.html
+        """
+        self._bucket = bucket
+        self._ak = ak
+        self._sk = sk
+        self._s3_client = boto3.client(
+            service_name='s3',
+            aws_access_key_id=ak,
+            aws_secret_access_key=sk,
+            endpoint_url=endpoint_url,
+            config=Config(
+                s3={'addressing_style': addressing_style},
+                retries={'max_attempts': 5, 'mode': 'standard'},
+            ),
+        )
+
+    def read(self, key: str) -> bytes:
+        """Read the file.
+
+        Args:
+            path (str): file path to read
+
+        Returns:
+            bytes: the content of the file
+        """
+        return self.read_at(key)
+
+    def read_at(self, key: str, offset: int = 0, limit: int = -1) -> bytes:
+        """Read at offset and limit.
+
+        Args:
+            path (str): the path of file, if the path is relative path, it will be joined with parent_dir.
+            offset (int, optional): the number of bytes skipped. Defaults to 0.
+            limit (int, optional): the length of bytes want to read. Defaults to -1.
+
+        Returns:
+            bytes: the content of file
+        """
+        if limit > -1:
+            range_header = f'bytes={offset}-{offset+limit-1}'
+            res = self._s3_client.get_object(
+                Bucket=self._bucket, Key=key, Range=range_header
+            )
+        else:
+            res = self._s3_client.get_object(
+                Bucket=self._bucket, Key=key, Range=f'bytes={offset}-'
+            )
+        return res['Body'].read()
+
+
+class S3Writer(IOWriter):
+    def __init__(
+        self,
+        bucket: str,
+        ak: str,
+        sk: str,
+        endpoint_url: str,
+        addressing_style: str = 'auto',
+    ):
+        """s3 reader client.
+
+        Args:
+            bucket (str): bucket name
+            ak (str): access key
+            sk (str): secret key
+            endpoint_url (str): endpoint url of s3
+            addressing_style (str, optional): Defaults to 'auto'. Other valid options here are 'path' and 'virtual'
+            refer to https://boto3.amazonaws.com/v1/documentation/api/1.9.42/guide/s3.html
+        """
+        self._bucket = bucket
+        self._ak = ak
+        self._sk = sk
+        self._s3_client = boto3.client(
+            service_name='s3',
+            aws_access_key_id=ak,
+            aws_secret_access_key=sk,
+            endpoint_url=endpoint_url,
+            config=Config(
+                s3={'addressing_style': addressing_style},
+                retries={'max_attempts': 5, 'mode': 'standard'},
+            ),
+        )
+
+    def write(self, key: str, data: bytes):
+        """Write file with data.
+
+        Args:
+            path (str): the path of file, if the path is relative path, it will be joined with parent_dir.
+            data (bytes): the data want to write
+        """
+        self._s3_client.put_object(Bucket=self._bucket, Key=key, Body=data)

magic_pdf/data/read_api.py

+import json
+import os
+from pathlib import Path
+
+from magic_pdf.config.exceptions import EmptyData, InvalidParams
+from magic_pdf.data.data_reader_writer import (FileBasedDataReader,
+                                               MultiBucketS3DataReader)
+from magic_pdf.data.dataset import ImageDataset, PymuDocDataset
+
+
+def read_jsonl(
+    s3_path_or_local: str, s3_client: MultiBucketS3DataReader | None = None
+) -> list[PymuDocDataset]:
+    """Read the jsonl file and return the list of PymuDocDataset.
+
+    Args:
+        s3_path_or_local (str): local file or s3 path
+        s3_client (MultiBucketS3DataReader | None, optional): s3 client that support multiple bucket. Defaults to None.
+
+    Raises:
+        InvalidParams: if s3_path_or_local is s3 path but s3_client is not provided.
+        EmptyData: if no pdf file location is provided in some line of jsonl file.
+        InvalidParams: if the file location is s3 path but s3_client is not provided
+
+    Returns:
+        list[PymuDocDataset]: each line in the jsonl file will be converted to a PymuDocDataset
+    """
+    bits_arr = []
+    if s3_path_or_local.startswith('s3://'):
+        if s3_client is None:
+            raise InvalidParams('s3_client is required when s3_path is provided')
+        jsonl_bits = s3_client.read(s3_path_or_local)
+    else:
+        jsonl_bits = FileBasedDataReader('').read(s3_path_or_local)
+    jsonl_d = [
+        json.loads(line) for line in jsonl_bits.decode().split('\n') if line.strip()
+    ]
+    for d in jsonl_d[:5]:
+        pdf_path = d.get('file_location', '') or d.get('path', '')
+        if len(pdf_path) == 0:
+            raise EmptyData('pdf file location is empty')
+        if pdf_path.startswith('s3://'):
+            if s3_client is None:
+                raise InvalidParams('s3_client is required when s3_path is provided')
+            bits_arr.append(s3_client.read(pdf_path))
+        else:
+            bits_arr.append(FileBasedDataReader('').read(pdf_path))
+    return [PymuDocDataset(bits) for bits in bits_arr]
+
+
+def read_local_pdfs(path: str) -> list[PymuDocDataset]:
+    """Read pdf from path or directory.
+
+    Args:
+        path (str): pdf file path or directory that contains pdf files
+
+    Returns:
+        list[PymuDocDataset]: each pdf file will converted to a PymuDocDataset
+    """
+    if os.path.isdir(path):
+        reader = FileBasedDataReader(path)
+        return [
+            PymuDocDataset(reader.read(doc_path.name))
+            for doc_path in Path(path).glob('*.pdf')
+        ]
+    else:
+        reader = FileBasedDataReader()
+        bits = reader.read(path)
+        return [PymuDocDataset(bits)]
+
+
+def read_local_images(path: str, suffixes: list[str]) -> list[ImageDataset]:
+    """Read images from path or directory.
+
+    Args:
+        path (str): image file path or directory that contains image files
+        suffixes (list[str]): the suffixes of the image files used to filter the files. Example: ['jpg', 'png']
+
+    Returns:
+        list[ImageDataset]: each image file will converted to a ImageDataset
+    """
+    if os.path.isdir(path):
+        imgs_bits = []
+        s_suffixes = set(suffixes)
+        reader = FileBasedDataReader(path)
+        for root, _, files in os.walk(path):
+            for file in files:
+                suffix = file.split('.')
+                if suffix[-1] in s_suffixes:
+                    imgs_bits.append(reader.read(file))
+        return [ImageDataset(bits) for bits in imgs_bits]
+    else:
+        reader = FileBasedDataReader()
+        bits = reader.read(path)
+        return [ImageDataset(bits)]

magic_pdf/data/schemas.py

+
+from pydantic import BaseModel, Field
+
+
+class S3Config(BaseModel):
+    bucket_name: str = Field(description='s3 bucket name', min_length=1)
+    access_key: str = Field(description='s3 access key', min_length=1)
+    secret_key: str = Field(description='s3 secret key', min_length=1)
+    endpoint_url: str = Field(description='s3 endpoint url', min_length=1)
+    addressing_style: str = Field(description='s3 addressing style', default='auto', min_length=1)
+
+
+class PageInfo(BaseModel):
+    w: float = Field(description='the width of page')
+    h: float = Field(description='the height of page')

magic_pdf/data/utils.py

+
+import fitz
+import numpy as np
+
+from magic_pdf.utils.annotations import ImportPIL
+
+
+@ImportPIL
+def fitz_doc_to_image(doc, dpi=200) -> dict:
+    """Convert fitz.Document to image, Then convert the image to numpy array.
+
+    Args:
+        doc (_type_): pymudoc page
+        dpi (int, optional): reset the dpi of dpi. Defaults to 200.
+
+    Returns:
+        dict:  {'img': numpy array, 'width': width, 'height': height }
+    """
+    from PIL import Image
+    mat = fitz.Matrix(dpi / 72, dpi / 72)
+    pm = doc.get_pixmap(matrix=mat, alpha=False)
+
+    # If the width or height exceeds 9000 after scaling, do not scale further.
+    if pm.width > 9000 or pm.height > 9000:
+        pm = doc.get_pixmap(matrix=fitz.Matrix(1, 1), alpha=False)
+
+    img = Image.frombytes('RGB', (pm.width, pm.height), pm.samples)
+    img = np.array(img)
+
+    img_dict = {'img': img, 'width': pm.width, 'height': pm.height}
+
+    return img_dict

magic_pdf/libs/config_reader.py

-"""
-根据bucket的名字返回对应的s3 AK， SK，endpoint三元组
-
-"""
+"""根据bucket的名字返回对应的s3 AK， SK，endpoint三元组."""
 
 import json
 import os
@@ -12,36 +9,36 @@ from magic_pdf.libs.Constants import MODEL_NAME
 from magic_pdf.libs.commons import parse_bucket_key
 
 # 定义配置文件名常量
-CONFIG_FILE_NAME = "magic-pdf.json"
+CONFIG_FILE_NAME = os.getenv('MINERU_TOOLS_CONFIG_JSON', 'magic-pdf.json')
 
 
 def read_config():
-    home_dir = os.path.expanduser("~")
-
-    config_file = os.path.join(home_dir, CONFIG_FILE_NAME)
+    if os.path.isabs(CONFIG_FILE_NAME):
+        config_file = CONFIG_FILE_NAME
+    else:
+        home_dir = os.path.expanduser('~')
+        config_file = os.path.join(home_dir, CONFIG_FILE_NAME)
 
     if not os.path.exists(config_file):
-        raise FileNotFoundError(f"{config_file} not found")
+        raise FileNotFoundError(f'{config_file} not found')
 
-    with open(config_file, "r", encoding="utf-8") as f:
+    with open(config_file, 'r', encoding='utf-8') as f:
         config = json.load(f)
     return config
 
 
 def get_s3_config(bucket_name: str):
-    """
-    ~/magic-pdf.json 读出来
-    """
+    """~/magic-pdf.json 读出来."""
     config = read_config()
 
-    bucket_info = config.get("bucket_info")
+    bucket_info = config.get('bucket_info')
     if bucket_name not in bucket_info:
-        access_key, secret_key, storage_endpoint = bucket_info["[default]"]
+        access_key, secret_key, storage_endpoint = bucket_info['[default]']
     else:
         access_key, secret_key, storage_endpoint = bucket_info[bucket_name]
 
     if access_key is None or secret_key is None or storage_endpoint is None:
-        raise Exception(f"ak, sk or endpoint not found in {CONFIG_FILE_NAME}")
+        raise Exception(f'ak, sk or endpoint not found in {CONFIG_FILE_NAME}')
 
     # logger.info(f"get_s3_config: ak={access_key}, sk={secret_key}, endpoint={storage_endpoint}")
 
@@ -50,7 +47,7 @@ def get_s3_config(bucket_name: str):
 
 def get_s3_config_dict(path: str):
     access_key, secret_key, storage_endpoint = get_s3_config(get_bucket_name(path))
-    return {"ak": access_key, "sk": secret_key, "endpoint": storage_endpoint}
+    return {'ak': access_key, 'sk': secret_key, 'endpoint': storage_endpoint}
 
 
 def get_bucket_name(path):
@@ -60,20 +57,20 @@ def get_bucket_name(path):
 
 def get_local_models_dir():
     config = read_config()
-    models_dir = config.get("models-dir")
+    models_dir = config.get('models-dir')
     if models_dir is None:
         logger.warning(f"'models-dir' not found in {CONFIG_FILE_NAME}, use '/tmp/models' as default")
-        return "/tmp/models"
+        return '/tmp/models'
     else:
         return models_dir
 
 
 def get_local_layoutreader_model_dir():
     config = read_config()
-    layoutreader_model_dir = config.get("layoutreader-model-dir")
+    layoutreader_model_dir = config.get('layoutreader-model-dir')
     if layoutreader_model_dir is None or not os.path.exists(layoutreader_model_dir):
-        home_dir = os.path.expanduser("~")
-        layoutreader_at_modelscope_dir_path = os.path.join(home_dir, ".cache/modelscope/hub/ppaanngggg/layoutreader")
+        home_dir = os.path.expanduser('~')
+        layoutreader_at_modelscope_dir_path = os.path.join(home_dir, '.cache/modelscope/hub/ppaanngggg/layoutreader')
         logger.warning(f"'layoutreader-model-dir' not exists, use {layoutreader_at_modelscope_dir_path} as default")
         return layoutreader_at_modelscope_dir_path
     else:
@@ -82,17 +79,17 @@ def get_local_layoutreader_model_dir():
 
 def get_device():
     config = read_config()
-    device = config.get("device-mode")
+    device = config.get('device-mode')
     if device is None:
         logger.warning(f"'device-mode' not found in {CONFIG_FILE_NAME}, use 'cpu' as default")
-        return "cpu"
+        return 'cpu'
     else:
         return device
 
 
 def get_table_recog_config():
     config = read_config()
-    table_config = config.get("table-config")
+    table_config = config.get('table-config')
     if table_config is None:
         logger.warning(f"'table-config' not found in {CONFIG_FILE_NAME}, use 'False' as default")
         return json.loads(f'{{"model": "{MODEL_NAME.TABLE_MASTER}","enable": false, "max_time": 400}}')

magic_pdf/libs/draw_bbox.py

+from magic_pdf.data.dataset import PymuDocDataset
 from magic_pdf.libs.commons import fitz  # PyMuPDF
 from magic_pdf.libs.Constants import CROSS_PAGE
 from magic_pdf.libs.ocr_content_type import BlockType, CategoryId, ContentType
@@ -62,7 +63,7 @@ def draw_bbox_with_number(i, bbox_list, page, rgb_config, fill_config, draw_bbox
                     overlay=True,
                 )  # Draw the rectangle
         page.insert_text(
-            (x1+2, y0 + 10), str(j + 1), fontsize=10, color=new_rgb
+            (x1 + 2, y0 + 10), str(j + 1), fontsize=10, color=new_rgb
         )  # Insert the index in the top left corner of the rectangle
 
 
@@ -86,7 +87,7 @@ def draw_layout_bbox(pdf_info, pdf_bytes, out_path, filename):
         texts = []
         interequations = []
         lists = []
-        indexs = []
+        indices = []
 
         for dropped_bbox in page['discarded_blocks']:
             page_dropped_list.append(dropped_bbox['bbox'])
@@ -122,7 +123,7 @@ def draw_layout_bbox(pdf_info, pdf_bytes, out_path, filename):
             elif block['type'] == BlockType.List:
                 lists.append(bbox)
             elif block['type'] == BlockType.Index:
-                indexs.append(bbox)
+                indices.append(bbox)
 
         tables_list.append(tables)
         tables_body_list.append(tables_body)
@@ -136,7 +137,7 @@ def draw_layout_bbox(pdf_info, pdf_bytes, out_path, filename):
         texts_list.append(texts)
         interequations_list.append(interequations)
         lists_list.append(lists)
-        indexs_list.append(indexs)
+        indexs_list.append(indices)
 
     layout_bbox_list = []
 
@@ -151,30 +152,24 @@ def draw_layout_bbox(pdf_info, pdf_bytes, out_path, filename):
 
     for i, page in enumerate(pdf_docs):
 
-        draw_bbox_without_number(i, dropped_bbox_list, page, [158, 158, 158],
-                                 True)
-        draw_bbox_without_number(i, tables_list, page, [153, 153, 0],
-                                 True)  # color !
-        draw_bbox_without_number(i, tables_body_list, page, [204, 204, 0],
-                                 True)
-        draw_bbox_without_number(i, tables_caption_list, page, [255, 255, 102],
-                                 True)
-        draw_bbox_without_number(i, tables_footnote_list, page,
-                                 [229, 255, 204], True)
+        draw_bbox_without_number(i, dropped_bbox_list, page, [158, 158, 158], True)
+        draw_bbox_without_number(i, tables_list, page, [153, 153, 0], True)  # color !
+        draw_bbox_without_number(i, tables_body_list, page, [204, 204, 0], True)
+        draw_bbox_without_number(i, tables_caption_list, page, [255, 255, 102], True)
+        draw_bbox_without_number(i, tables_footnote_list, page, [229, 255, 204], True)
         draw_bbox_without_number(i, imgs_list, page, [51, 102, 0], True)
         draw_bbox_without_number(i, imgs_body_list, page, [153, 255, 51], True)
-        draw_bbox_without_number(i, imgs_caption_list, page, [102, 178, 255],
-                                 True)
-        draw_bbox_without_number(i, imgs_footnote_list, page, [255, 178, 102],
-                              True),
+        draw_bbox_without_number(i, imgs_caption_list, page, [102, 178, 255], True)
+        draw_bbox_without_number(i, imgs_footnote_list, page, [255, 178, 102], True),
         draw_bbox_without_number(i, titles_list, page, [102, 102, 255], True)
         draw_bbox_without_number(i, texts_list, page, [153, 0, 76], True)
-        draw_bbox_without_number(i, interequations_list, page, [0, 255, 0],
-                                 True)
+        draw_bbox_without_number(i, interequations_list, page, [0, 255, 0], True)
         draw_bbox_without_number(i, lists_list, page, [40, 169, 92], True)
         draw_bbox_without_number(i, indexs_list, page, [40, 169, 92], True)
 
-        draw_bbox_with_number(i, layout_bbox_list, page, [255, 0, 0], False, draw_bbox=False)
+        draw_bbox_with_number(
+            i, layout_bbox_list, page, [255, 0, 0], False, draw_bbox=False
+        )
 
     # Save the PDF
     pdf_docs.save(f'{out_path}/{filename}_layout.pdf')
@@ -275,7 +270,7 @@ def draw_model_bbox(model_list: list, pdf_bytes, out_path, filename):
     texts_list = []
     interequations_list = []
     pdf_docs = fitz.open('pdf', pdf_bytes)
-    magic_model = MagicModel(model_list, pdf_docs)
+    magic_model = MagicModel(model_list, PymuDocDataset(pdf_bytes))
     for i in range(len(model_list)):
         page_dropped_list = []
         tables_body, tables_caption, tables_footnote = [], [], []
@@ -301,8 +296,7 @@ def draw_model_bbox(model_list: list, pdf_bytes, out_path, filename):
                 imgs_body.append(bbox)
             elif layout_det['category_id'] == CategoryId.ImageCaption:
                 imgs_caption.append(bbox)
-            elif layout_det[
-                'category_id'] == CategoryId.InterlineEquation_YOLO:
+            elif layout_det['category_id'] == CategoryId.InterlineEquation_YOLO:
                 interequations.append(bbox)
             elif layout_det['category_id'] == CategoryId.Abandon:
                 page_dropped_list.append(bbox)
@@ -321,18 +315,15 @@ def draw_model_bbox(model_list: list, pdf_bytes, out_path, filename):
         imgs_footnote_list.append(imgs_footnote)
 
     for i, page in enumerate(pdf_docs):
-        draw_bbox_with_number(i, dropped_bbox_list, page, [158, 158, 158],
-                              True)  # color !
+        draw_bbox_with_number(
+            i, dropped_bbox_list, page, [158, 158, 158], True
+        )  # color !
         draw_bbox_with_number(i, tables_body_list, page, [204, 204, 0], True)
-        draw_bbox_with_number(i, tables_caption_list, page, [255, 255, 102],
-                              True)
-        draw_bbox_with_number(i, tables_footnote_list, page, [229, 255, 204],
-                              True)
+        draw_bbox_with_number(i, tables_caption_list, page, [255, 255, 102], True)
+        draw_bbox_with_number(i, tables_footnote_list, page, [229, 255, 204], True)
         draw_bbox_with_number(i, imgs_body_list, page, [153, 255, 51], True)
-        draw_bbox_with_number(i, imgs_caption_list, page, [102, 178, 255],
-                              True)
-        draw_bbox_with_number(i, imgs_footnote_list, page, [255, 178, 102],
-                              True)
+        draw_bbox_with_number(i, imgs_caption_list, page, [102, 178, 255], True)
+        draw_bbox_with_number(i, imgs_footnote_list, page, [255, 178, 102], True)
         draw_bbox_with_number(i, titles_list, page, [102, 102, 255], True)
         draw_bbox_with_number(i, texts_list, page, [153, 0, 76], True)
         draw_bbox_with_number(i, interequations_list, page, [0, 255, 0], True)

magic_pdf/model/magic_model.py

 import json
 
+from magic_pdf.data.dataset import Dataset
 from magic_pdf.libs.boxbase import (_is_in, _is_part_overlap, bbox_distance,
                                     bbox_relative_pos, box_area, calculate_iou,
                                     calculate_overlap_area_in_bbox1_area_ratio,
@@ -24,7 +25,7 @@ class MagicModel:
             need_remove_list = []
             page_no = model_page_info['page_info']['page_no']
             horizontal_scale_ratio, vertical_scale_ratio = get_scale_ratio(
-                model_page_info, self.__docs[page_no]
+                model_page_info, self.__docs.get_page(page_no)
             )
             layout_dets = model_page_info['layout_dets']
             for layout_det in layout_dets:
@@ -99,7 +100,7 @@ class MagicModel:
             for need_remove in need_remove_list:
                 layout_dets.remove(need_remove)
 
-    def __init__(self, model_list: list, docs: fitz.Document):
+    def __init__(self, model_list: list, docs: Dataset):
         self.__model_list = model_list
         self.__docs = docs
         """为所有模型数据添加bbox信息(缩放，poly->bbox)"""
@@ -123,7 +124,8 @@ class MagicModel:
             l1 = bbox1[2] - bbox1[0]
             l2 = bbox2[2] - bbox2[0]
 
-        if l2 > l1 and (l2 - l1) / l1 > 0.5:
+        min_l, max_l = min(l1, l2), max(l1, l2)
+        if (max_l - min_l) * 1.0 / max_l > 0.4:
             return float('inf')
 
         return bbox_distance(bbox1, bbox2)
@@ -213,9 +215,8 @@ class MagicModel:
         筛选出所有和 merged bbox 有 overlap 且 overlap 面积大于 object 的面积的 subjects。
         再求出筛选出的 subjects 和 object 的最短距离
         """
-        def search_overlap_between_boxes(
-            subject_idx, object_idx
-        ):
+
+        def search_overlap_between_boxes(subject_idx, object_idx):
             idxes = [subject_idx, object_idx]
             x0s = [all_bboxes[idx]['bbox'][0] for idx in idxes]
             y0s = [all_bboxes[idx]['bbox'][1] for idx in idxes]
@@ -243,9 +244,9 @@ class MagicModel:
             for other_object in other_objects:
                 ratio = max(
                     ratio,
-                    get_overlap_area(
-                        merged_bbox, other_object['bbox']
-                    ) * 1.0 / box_area(all_bboxes[object_idx]['bbox'])
+                    get_overlap_area(merged_bbox, other_object['bbox'])
+                    * 1.0
+                    / box_area(all_bboxes[object_idx]['bbox']),
                 )
                 if ratio >= MERGE_BOX_OVERLAP_AREA_RATIO:
                     break
@@ -363,12 +364,17 @@ class MagicModel:
                 if all_bboxes[j]['category_id'] == subject_category_id:
                     subject_idx, object_idx = j, i
 
-                if search_overlap_between_boxes(subject_idx, object_idx) >= MERGE_BOX_OVERLAP_AREA_RATIO:
+                if (
+                    search_overlap_between_boxes(subject_idx, object_idx)
+                    >= MERGE_BOX_OVERLAP_AREA_RATIO
+                ):
                     dis[i][j] = float('inf')
                     dis[j][i] = dis[i][j]
                     continue
 
-                dis[i][j] = self._bbox_distance(all_bboxes[subject_idx]['bbox'], all_bboxes[object_idx]['bbox'])
+                dis[i][j] = self._bbox_distance(
+                    all_bboxes[subject_idx]['bbox'], all_bboxes[object_idx]['bbox']
+                )
                 dis[j][i] = dis[i][j]
 
         used = set()
@@ -584,6 +590,99 @@ class MagicModel:
                 with_caption_subject.add(j)
         return ret, total_subject_object_dis
 
+    def __tie_up_category_by_distance_v2(
+        self, page_no, subject_category_id, object_category_id
+    ):
+
+        subjects = self.__reduct_overlap(
+            list(
+                map(
+                    lambda x: {'bbox': x['bbox'], 'score': x['score']},
+                    filter(
+                        lambda x: x['category_id'] == subject_category_id,
+                        self.__model_list[page_no]['layout_dets'],
+                    ),
+                )
+            )
+        )
+
+        objects = self.__reduct_overlap(
+            list(
+                map(
+                    lambda x: {'bbox': x['bbox'], 'score': x['score']},
+                    filter(
+                        lambda x: x['category_id'] == object_category_id,
+                        self.__model_list[page_no]['layout_dets'],
+                    ),
+                )
+            )
+        )
+
+        print(len(subjects), len(objects))
+
+        subjects.sort(key=lambda x: x['bbox'][0] ** 2 + x['bbox'][1] ** 2)
+        objects.sort(key=lambda x: x['bbox'][0] ** 2 + x['bbox'][1] ** 2)
+        dis = [[float('inf')] * len(subjects) for _ in range(len(objects))]
+        for i, obj in enumerate(objects):
+            for j, sub in enumerate(subjects):
+                dis[i][j] = self._bbox_distance(sub['bbox'], obj['bbox'])
+
+        sub_obj_map_h = {i: [] for i in range(len(subjects))}
+        for i in range(len(objects)):
+            min_l_idx = 0
+            for j in range(1, len(subjects)):
+                if dis[i][j] == float('inf'):
+                    continue
+                if dis[i][j] < dis[i][min_l_idx]:
+                    min_l_idx = j
+
+            if dis[i][min_l_idx] < float('inf'):
+                sub_obj_map_h[min_l_idx].append(i)
+            else:
+                print(i, 'no nearest')
+        ret = []
+        for i in sub_obj_map_h.keys():
+            ret.append(
+                {
+                    'sub_bbox': subjects[i]['bbox'],
+                    'obj_bboxes': [objects[j]['bbox'] for j in sub_obj_map_h[i]],
+                    'sub_idx': i,
+                }
+            )
+        return ret
+
+    def get_imgs_v2(self, page_no: int):
+        with_captions = self.__tie_up_category_by_distance_v2(page_no, 3, 4)
+        with_footnotes = self.__tie_up_category_by_distance_v2(
+            page_no, 3, CategoryId.ImageFootnote
+        )
+        ret = []
+        for v in with_captions:
+            record = {
+                'image_bbox': v['sub_bbox'],
+                'image_caption_bbox_list': v['obj_bboxes'],
+            }
+            filter_idx = v['sub_idx']
+            d = next(filter(lambda x: x['sub_idx'] == filter_idx, with_footnotes))
+            record['image_footnote_bbox_list'] = d['obj_bboxes']
+            ret.append(record)
+        return ret
+
+    def get_tables_v2(self, page_no: int) -> list:
+        with_captions = self.__tie_up_category_by_distance_v2(page_no, 5, 6)
+        with_footnotes = self.__tie_up_category_by_distance_v2(page_no, 5, 7)
+        ret = []
+        for v in with_captions:
+            record = {
+                'table_bbox': v['sub_bbox'],
+                'table_caption_bbox_list': v['obj_bboxes'],
+            }
+            filter_idx = v['sub_idx']
+            d = next(filter(lambda x: x['sub_idx'] == filter_idx, with_footnotes))
+            record['table_footnote_bbox_list'] = d['obj_bboxes']
+            ret.append(record)
+        return ret
+
     def get_imgs(self, page_no: int):
         with_captions, _ = self.__tie_up_category_by_distance(page_no, 3, 4)
         with_footnotes, _ = self.__tie_up_category_by_distance(
@@ -717,10 +816,10 @@ class MagicModel:
 
     def get_page_size(self, page_no: int):  # 获取页面宽高
         # 获取当前页的page对象
-        page = self.__docs[page_no]
+        page = self.__docs.get_page(page_no).get_page_info()
         # 获取当前页的宽高
-        page_w = page.rect.width
-        page_h = page.rect.height
+        page_w = page.w
+        page_h = page.h
         return page_w, page_h
 
     def __get_blocks_by_type(

magic_pdf/pdf_parse_by_ocr.py

+from magic_pdf.config.enums import SupportedPdfParseMethod
+from magic_pdf.data.dataset import PymuDocDataset
 from magic_pdf.pdf_parse_union_core_v2 import pdf_parse_union
 
 
@@ -8,10 +10,11 @@ def parse_pdf_by_ocr(pdf_bytes,
                      end_page_id=None,
                      debug_mode=False,
                      ):
-    return pdf_parse_union(pdf_bytes,
+    dataset = PymuDocDataset(pdf_bytes)
+    return pdf_parse_union(dataset,
                            model_list,
                            imageWriter,
-                           "ocr",
+                           SupportedPdfParseMethod.OCR,
                            start_page_id=start_page_id,
                            end_page_id=end_page_id,
                            debug_mode=debug_mode,

magic_pdf/pdf_parse_by_txt.py

+from magic_pdf.config.enums import SupportedPdfParseMethod
+from magic_pdf.data.dataset import PymuDocDataset
 from magic_pdf.pdf_parse_union_core_v2 import pdf_parse_union
 
 
@@ -9,10 +11,11 @@ def parse_pdf_by_txt(
     end_page_id=None,
     debug_mode=False,
 ):
-    return pdf_parse_union(pdf_bytes,
+    dataset = PymuDocDataset(pdf_bytes)
+    return pdf_parse_union(dataset,
                            model_list,
                            imageWriter,
-                           "txt",
+                           SupportedPdfParseMethod.TXT,
                            start_page_id=start_page_id,
                            end_page_id=end_page_id,
                            debug_mode=debug_mode,

magic_pdf/pdf_parse_union_core_v2.py

 import os
 import statistics
 import time
-
-from loguru import logger
-
 from typing import List
 
 import torch
+from loguru import logger
 
+from magic_pdf.config.enums import SupportedPdfParseMethod
+from magic_pdf.data.dataset import Dataset, PageableData
 from magic_pdf.libs.clean_memory import clean_memory
 from magic_pdf.libs.commons import fitz, get_delta_time
 from magic_pdf.libs.config_reader import get_local_layoutreader_model_dir
@@ -19,27 +19,35 @@ from magic_pdf.libs.ocr_content_type import ContentType
 from magic_pdf.model.magic_model import MagicModel
 from magic_pdf.para.para_split_v3 import para_split
 from magic_pdf.pre_proc.citationmarker_remove import remove_citation_marker
-from magic_pdf.pre_proc.construct_page_dict import ocr_construct_page_component_v2
+from magic_pdf.pre_proc.construct_page_dict import \
+    ocr_construct_page_component_v2
 from magic_pdf.pre_proc.cut_image import ocr_cut_image_and_table
-from magic_pdf.pre_proc.equations_replace import remove_chars_in_text_blocks, replace_equations_in_textblock, \
-    combine_chars_to_pymudict
-from magic_pdf.pre_proc.ocr_detect_all_bboxes import ocr_prepare_bboxes_for_layout_split_v2
-from magic_pdf.pre_proc.ocr_dict_merge import  fill_spans_in_blocks, fix_block_spans, fix_discarded_block
-from magic_pdf.pre_proc.ocr_span_list_modify import remove_overlaps_min_spans, get_qa_need_list_v2, \
-    remove_overlaps_low_confidence_spans
-from magic_pdf.pre_proc.resolve_bbox_conflict import check_useful_block_horizontal_overlap
+from magic_pdf.pre_proc.equations_replace import (
+    combine_chars_to_pymudict, remove_chars_in_text_blocks,
+    replace_equations_in_textblock)
+from magic_pdf.pre_proc.ocr_detect_all_bboxes import \
+    ocr_prepare_bboxes_for_layout_split_v2
+from magic_pdf.pre_proc.ocr_dict_merge import (fill_spans_in_blocks,
+                                               fix_block_spans,
+                                               fix_discarded_block)
+from magic_pdf.pre_proc.ocr_span_list_modify import (
+    get_qa_need_list_v2, remove_overlaps_low_confidence_spans,
+    remove_overlaps_min_spans)
+from magic_pdf.pre_proc.resolve_bbox_conflict import \
+    check_useful_block_horizontal_overlap
 
 
 def remove_horizontal_overlap_block_which_smaller(all_bboxes):
     useful_blocks = []
     for bbox in all_bboxes:
-        useful_blocks.append({
-            "bbox": bbox[:4]
-        })
-    is_useful_block_horz_overlap, smaller_bbox, bigger_bbox = check_useful_block_horizontal_overlap(useful_blocks)
+        useful_blocks.append({'bbox': bbox[:4]})
+    is_useful_block_horz_overlap, smaller_bbox, bigger_bbox = (
+        check_useful_block_horizontal_overlap(useful_blocks)
+    )
     if is_useful_block_horz_overlap:
         logger.warning(
-            f"skip this page, reason: {DropReason.USEFUL_BLOCK_HOR_OVERLAP}, smaller bbox is {smaller_bbox}, bigger bbox is {bigger_bbox}")
+            f'skip this page, reason: {DropReason.USEFUL_BLOCK_HOR_OVERLAP}, smaller bbox is {smaller_bbox}, bigger bbox is {bigger_bbox}'
+        )  # noqa: E501
         for bbox in all_bboxes.copy():
             if smaller_bbox == bbox[:4]:
                 all_bboxes.remove(bbox)
@@ -47,27 +55,27 @@ def remove_horizontal_overlap_block_which_smaller(all_bboxes):
     return is_useful_block_horz_overlap, all_bboxes
 
 
-def __replace_STX_ETX(text_str:str):
-    """ Replace \u0002 and \u0003, as these characters become garbled when extracted using pymupdf. In fact, they were originally quotation marks.
-Drawback: This issue is only observed in English text; it has not been found in Chinese text so far.
+def __replace_STX_ETX(text_str: str):
+    """Replace \u0002 and \u0003, as these characters become garbled when extracted using pymupdf. In fact, they were originally quotation marks.
+    Drawback: This issue is only observed in English text; it has not been found in Chinese text so far.
 
-    Args:
-        text_str (str): raw text
+        Args:
+            text_str (str): raw text
 
-    Returns:
-        _type_: replaced text
-    """
+        Returns:
+            _type_: replaced text
+    """  # noqa: E501
     if text_str:
         s = text_str.replace('\u0002', "'")
-        s = s.replace("\u0003", "'")
+        s = s.replace('\u0003', "'")
         return s
     return text_str
 
 
 def txt_spans_extract(pdf_page, inline_equations, interline_equations):
-    text_raw_blocks = pdf_page.get_text("dict", flags=fitz.TEXTFLAGS_TEXT)["blocks"]
-    char_level_text_blocks = pdf_page.get_text("rawdict", flags=fitz.TEXTFLAGS_TEXT)[
-        "blocks"
+    text_raw_blocks = pdf_page.get_text('dict', flags=fitz.TEXTFLAGS_TEXT)['blocks']
+    char_level_text_blocks = pdf_page.get_text('rawdict', flags=fitz.TEXTFLAGS_TEXT)[
+        'blocks'
     ]
     text_blocks = combine_chars_to_pymudict(text_raw_blocks, char_level_text_blocks)
     text_blocks = replace_equations_in_textblock(
@@ -77,54 +85,63 @@ def txt_spans_extract(pdf_page, inline_equations, interline_equations):
     text_blocks = remove_chars_in_text_blocks(text_blocks)
     spans = []
     for v in text_blocks:
-        for line in v["lines"]:
-            for span in line["spans"]:
-                bbox = span["bbox"]
+        for line in v['lines']:
+            for span in line['spans']:
+                bbox = span['bbox']
                 if float_equal(bbox[0], bbox[2]) or float_equal(bbox[1], bbox[3]):
                     continue
-                if span.get('type') not in (ContentType.InlineEquation, ContentType.InterlineEquation):
+                if span.get('type') not in (
+                    ContentType.InlineEquation,
+                    ContentType.InterlineEquation,
+                ):
                     spans.append(
                         {
-                            "bbox": list(span["bbox"]),
-                            "content": __replace_STX_ETX(span["text"]),
-                            "type": ContentType.Text,
-                            "score": 1.0,
+                            'bbox': list(span['bbox']),
+                            'content': __replace_STX_ETX(span['text']),
+                            'type': ContentType.Text,
+                            'score': 1.0,
                         }
                     )
     return spans
 
 
 def replace_text_span(pymu_spans, ocr_spans):
-    return list(filter(lambda x: x["type"] != ContentType.Text, ocr_spans)) + pymu_spans
+    return list(filter(lambda x: x['type'] != ContentType.Text, ocr_spans)) + pymu_spans
 
 
 def model_init(model_name: str):
     from transformers import LayoutLMv3ForTokenClassification
+
     if torch.cuda.is_available():
-        device = torch.device("cuda")
+        device = torch.device('cuda')
         if torch.cuda.is_bf16_supported():
             supports_bfloat16 = True
         else:
             supports_bfloat16 = False
     else:
-        device = torch.device("cpu")
+        device = torch.device('cpu')
         supports_bfloat16 = False
 
-    if model_name == "layoutreader":
+    if model_name == 'layoutreader':
         # 检测modelscope的缓存目录是否存在
         layoutreader_model_dir = get_local_layoutreader_model_dir()
         if os.path.exists(layoutreader_model_dir):
-            model = LayoutLMv3ForTokenClassification.from_pretrained(layoutreader_model_dir)
+            model = LayoutLMv3ForTokenClassification.from_pretrained(
+                layoutreader_model_dir
+            )
         else:
             logger.warning(
-                f"local layoutreader model not exists, use online model from huggingface")
-            model = LayoutLMv3ForTokenClassification.from_pretrained("hantian/layoutreader")
+                'local layoutreader model not exists, use online model from huggingface'
+            )
+            model = LayoutLMv3ForTokenClassification.from_pretrained(
+                'hantian/layoutreader'
+            )
         # 检查设备是否支持 bfloat16
         if supports_bfloat16:
             model.bfloat16()
         model.to(device).eval()
     else:
-        logger.error("model name not allow")
+        logger.error('model name not allow')
         exit(1)
     return model
 
@@ -145,7 +162,9 @@ class ModelSingleton:
 
 
 def do_predict(boxes: List[List[int]], model) -> List[int]:
-    from magic_pdf.model.v3.helpers import prepare_inputs, boxes2inputs, parse_logits
+    from magic_pdf.model.v3.helpers import (boxes2inputs, parse_logits,
+                                            prepare_inputs)
+
     inputs = boxes2inputs(boxes)
     inputs = prepare_inputs(inputs, model)
     logits = model(**inputs).logits.cpu().squeeze(0)
@@ -193,21 +212,23 @@ def insert_lines_into_block(block_bbox, line_height, page_w, page_h):
     block_weight = x1 - x0
 
     # 如果block高度小于n行正文，则直接返回block的bbox
-    if line_height*3 < block_height:
-        if block_height > page_h*0.25 and page_w*0.5 > block_weight > page_w*0.25:  # 可能是双列结构，可以切细点
-            lines = int(block_height/line_height)+1
+    if line_height * 3 < block_height:
+        if (
+            block_height > page_h * 0.25 and page_w * 0.5 > block_weight > page_w * 0.25
+        ):  # 可能是双列结构，可以切细点
+            lines = int(block_height / line_height) + 1
         else:
             # 如果block的宽度超过0.4页面宽度，则将block分成3行
-            if block_weight > page_w*0.4:
+            if block_weight > page_w * 0.4:
                 line_height = (y1 - y0) / 3
                 lines = 3
-            elif block_weight > page_w*0.25: # 否则将block分成两行
+            elif block_weight > page_w * 0.25:  # 否则将block分成两行
                 line_height = (y1 - y0) / 2
                 lines = 2
-            else: # 判断长宽比
-                if block_height/block_weight > 1.2:  # 细长的不分
+            else:  # 判断长宽比
+                if block_height / block_weight > 1.2:  # 细长的不分
                     return [[x0, y0, x1, y1]]
-                else: # 不细长的还是分成两行
+                else:  # 不细长的还是分成两行
                     line_height = (y1 - y0) / 2
                     lines = 2
 
@@ -256,19 +277,23 @@ def sort_lines_by_model(fix_blocks, page_w, page_h, line_height):
     for left, top, right, bottom in page_line_list:
         if left < 0:
             logger.warning(
-                f"left < 0, left: {left}, right: {right}, top: {top}, bottom: {bottom}, page_w: {page_w}, page_h: {page_h}")
+                f'left < 0, left: {left}, right: {right}, top: {top}, bottom: {bottom}, page_w: {page_w}, page_h: {page_h}'
+            )  # noqa: E501
             left = 0
         if right > page_w:
             logger.warning(
-                f"right > page_w, left: {left}, right: {right}, top: {top}, bottom: {bottom}, page_w: {page_w}, page_h: {page_h}")
+                f'right > page_w, left: {left}, right: {right}, top: {top}, bottom: {bottom}, page_w: {page_w}, page_h: {page_h}'
+            )  # noqa: E501
             right = page_w
         if top < 0:
             logger.warning(
-                f"top < 0, left: {left}, right: {right}, top: {top}, bottom: {bottom}, page_w: {page_w}, page_h: {page_h}")
+                f'top < 0, left: {left}, right: {right}, top: {top}, bottom: {bottom}, page_w: {page_w}, page_h: {page_h}'
+            )  # noqa: E501
             top = 0
         if bottom > page_h:
             logger.warning(
-                f"bottom > page_h, left: {left}, right: {right}, top: {top}, bottom: {bottom}, page_w: {page_w}, page_h: {page_h}")
+                f'bottom > page_h, left: {left}, right: {right}, top: {top}, bottom: {bottom}, page_w: {page_w}, page_h: {page_h}'
+            )  # noqa: E501
             bottom = page_h
 
         left = round(left * x_scale)
@@ -276,11 +301,11 @@ def sort_lines_by_model(fix_blocks, page_w, page_h, line_height):
         right = round(right * x_scale)
         bottom = round(bottom * y_scale)
         assert (
-                1000 >= right >= left >= 0 and 1000 >= bottom >= top >= 0
-        ), f"Invalid box. right: {right}, left: {left}, bottom: {bottom}, top: {top}"
+            1000 >= right >= left >= 0 and 1000 >= bottom >= top >= 0
+        ), f'Invalid box. right: {right}, left: {left}, bottom: {bottom}, top: {top}'  # noqa: E126, E121
         boxes.append([left, top, right, bottom])
     model_manager = ModelSingleton()
-    model = model_manager.get_model("layoutreader")
+    model = model_manager.get_model('layoutreader')
     with torch.no_grad():
         orders = do_predict(boxes, model)
     sorted_bboxes = [page_line_list[i] for i in orders]
@@ -294,146 +319,195 @@ def get_line_height(blocks):
         if block['type'] in ['text', 'title', 'interline_equation']:
             for line in block['lines']:
                 bbox = line['bbox']
-                page_line_height_list.append(int(bbox[3]-bbox[1]))
+                page_line_height_list.append(int(bbox[3] - bbox[1]))
     if len(page_line_height_list) > 0:
         return statistics.median(page_line_height_list)
     else:
         return 10
 
 
-def parse_page_core(pdf_docs, magic_model, page_id, pdf_bytes_md5, imageWriter, parse_mode):
+def parse_page_core(
+    page_doc: PageableData, magic_model, page_id, pdf_bytes_md5, imageWriter, parse_mode
+):
     need_drop = False
     drop_reason = []
 
-    '''从magic_model对象中获取后面会用到的区块信息'''
+    """从magic_model对象中获取后面会用到的区块信息"""
     img_blocks = magic_model.get_imgs(page_id)
     table_blocks = magic_model.get_tables(page_id)
     discarded_blocks = magic_model.get_discarded(page_id)
     text_blocks = magic_model.get_text_blocks(page_id)
     title_blocks = magic_model.get_title_blocks(page_id)
-    inline_equations, interline_equations, interline_equation_blocks = magic_model.get_equations(page_id)
+    inline_equations, interline_equations, interline_equation_blocks = (
+        magic_model.get_equations(page_id)
+    )
 
     page_w, page_h = magic_model.get_page_size(page_id)
 
     spans = magic_model.get_all_spans(page_id)
 
-    '''根据parse_mode，构造spans'''
-    if parse_mode == "txt":
+    """根据parse_mode，构造spans"""
+    if parse_mode == SupportedPdfParseMethod.TXT:
         """ocr 中文本类的 span 用 pymu spans 替换！"""
-        pymu_spans = txt_spans_extract(
-            pdf_docs[page_id], inline_equations, interline_equations
-        )
+        pymu_spans = txt_spans_extract(page_doc, inline_equations, interline_equations)
         spans = replace_text_span(pymu_spans, spans)
-    elif parse_mode == "ocr":
+    elif parse_mode == SupportedPdfParseMethod.OCR:
         pass
     else:
-        raise Exception("parse_mode must be txt or ocr")
+        raise Exception('parse_mode must be txt or ocr')
 
-    '''删除重叠spans中置信度较低的那些'''
+    """删除重叠spans中置信度较低的那些"""
     spans, dropped_spans_by_confidence = remove_overlaps_low_confidence_spans(spans)
-    '''删除重叠spans中较小的那些'''
+    """删除重叠spans中较小的那些"""
     spans, dropped_spans_by_span_overlap = remove_overlaps_min_spans(spans)
-    '''对image和table截图'''
-    spans = ocr_cut_image_and_table(spans, pdf_docs[page_id], page_id, pdf_bytes_md5, imageWriter)
+    """对image和table截图"""
+    spans = ocr_cut_image_and_table(
+        spans, page_doc, page_id, pdf_bytes_md5, imageWriter
+    )
 
-    '''将所有区块的bbox整理到一起'''
+    """将所有区块的bbox整理到一起"""
     # interline_equation_blocks参数不够准，后面切换到interline_equations上
     interline_equation_blocks = []
     if len(interline_equation_blocks) > 0:
         all_bboxes, all_discarded_blocks = ocr_prepare_bboxes_for_layout_split_v2(
-            img_blocks, table_blocks, discarded_blocks, text_blocks, title_blocks,
-            interline_equation_blocks, page_w, page_h)
+            img_blocks,
+            table_blocks,
+            discarded_blocks,
+            text_blocks,
+            title_blocks,
+            interline_equation_blocks,
+            page_w,
+            page_h,
+        )
     else:
         all_bboxes, all_discarded_blocks = ocr_prepare_bboxes_for_layout_split_v2(
-            img_blocks, table_blocks, discarded_blocks, text_blocks, title_blocks,
-            interline_equations, page_w, page_h)
+            img_blocks,
+            table_blocks,
+            discarded_blocks,
+            text_blocks,
+            title_blocks,
+            interline_equations,
+            page_w,
+            page_h,
+        )
 
-    '''先处理不需要排版的discarded_blocks'''
-    discarded_block_with_spans, spans = fill_spans_in_blocks(all_discarded_blocks, spans, 0.4)
+    """先处理不需要排版的discarded_blocks"""
+    discarded_block_with_spans, spans = fill_spans_in_blocks(
+        all_discarded_blocks, spans, 0.4
+    )
     fix_discarded_blocks = fix_discarded_block(discarded_block_with_spans)
 
-    '''如果当前页面没有bbox则跳过'''
+    """如果当前页面没有bbox则跳过"""
     if len(all_bboxes) == 0:
-        logger.warning(f"skip this page, not found useful bbox, page_id: {page_id}")
-        return ocr_construct_page_component_v2([], [], page_id, page_w, page_h, [],
-                                               [], [], interline_equations, fix_discarded_blocks,
-                                               need_drop, drop_reason)
+        logger.warning(f'skip this page, not found useful bbox, page_id: {page_id}')
+        return ocr_construct_page_component_v2(
+            [],
+            [],
+            page_id,
+            page_w,
+            page_h,
+            [],
+            [],
+            [],
+            interline_equations,
+            fix_discarded_blocks,
+            need_drop,
+            drop_reason,
+        )
 
-    '''将span填入blocks中'''
+    """将span填入blocks中"""
     block_with_spans, spans = fill_spans_in_blocks(all_bboxes, spans, 0.5)
 
-    '''对block进行fix操作'''
+    """对block进行fix操作"""
     fix_blocks = fix_block_spans(block_with_spans, img_blocks, table_blocks)
 
-    '''获取所有line并计算正文line的高度'''
+    """获取所有line并计算正文line的高度"""
     line_height = get_line_height(fix_blocks)
 
-    '''获取所有line并对line排序'''
+    """获取所有line并对line排序"""
     sorted_bboxes = sort_lines_by_model(fix_blocks, page_w, page_h, line_height)
 
-    '''根据line的中位数算block的序列关系'''
+    """根据line的中位数算block的序列关系"""
     fix_blocks = cal_block_index(fix_blocks, sorted_bboxes)
 
-    '''重排block'''
+    """重排block"""
     sorted_blocks = sorted(fix_blocks, key=lambda b: b['index'])
 
-    '''获取QA需要外置的list'''
+    """获取QA需要外置的list"""
     images, tables, interline_equations = get_qa_need_list_v2(sorted_blocks)
 
-    '''构造pdf_info_dict'''
-    page_info = ocr_construct_page_component_v2(sorted_blocks, [], page_id, page_w, page_h, [],
-                                                images, tables, interline_equations, fix_discarded_blocks,
-                                                need_drop, drop_reason)
+    """构造pdf_info_dict"""
+    page_info = ocr_construct_page_component_v2(
+        sorted_blocks,
+        [],
+        page_id,
+        page_w,
+        page_h,
+        [],
+        images,
+        tables,
+        interline_equations,
+        fix_discarded_blocks,
+        need_drop,
+        drop_reason,
+    )
     return page_info
 
 
-def pdf_parse_union(pdf_bytes,
-                    model_list,
-                    imageWriter,
-                    parse_mode,
-                    start_page_id=0,
-                    end_page_id=None,
-                    debug_mode=False,
-                    ):
-    pdf_bytes_md5 = compute_md5(pdf_bytes)
-    pdf_docs = fitz.open("pdf", pdf_bytes)
+def pdf_parse_union(
+    dataset: Dataset,
+    model_list,
+    imageWriter,
+    parse_mode,
+    start_page_id=0,
+    end_page_id=None,
+    debug_mode=False,
+):
+    pdf_bytes_md5 = compute_md5(dataset.data_bits())
 
-    '''初始化空的pdf_info_dict'''
+    """初始化空的pdf_info_dict"""
     pdf_info_dict = {}
 
-    '''用model_list和docs对象初始化magic_model'''
-    magic_model = MagicModel(model_list, pdf_docs)
+    """用model_list和docs对象初始化magic_model"""
+    magic_model = MagicModel(model_list, dataset)
 
-    '''根据输入的起始范围解析pdf'''
+    """根据输入的起始范围解析pdf"""
     # end_page_id = end_page_id if end_page_id else len(pdf_docs) - 1
-    end_page_id = end_page_id if end_page_id is not None and end_page_id >= 0 else len(pdf_docs) - 1
+    end_page_id = (
+        end_page_id
+        if end_page_id is not None and end_page_id >= 0
+        else len(dataset) - 1
+    )
 
-    if end_page_id > len(pdf_docs) - 1:
-        logger.warning("end_page_id is out of range, use pdf_docs length")
-        end_page_id = len(pdf_docs) - 1
+    if end_page_id > len(dataset) - 1:
+        logger.warning('end_page_id is out of range, use pdf_docs length')
+        end_page_id = len(dataset) - 1
 
-    '''初始化启动时间'''
+    """初始化启动时间"""
     start_time = time.time()
 
-    for page_id, page in enumerate(pdf_docs):
-        '''debug时输出每页解析的耗时'''
+    for page_id, page in enumerate(dataset):
+        """debug时输出每页解析的耗时."""
         if debug_mode:
             time_now = time.time()
             logger.info(
-                f"page_id: {page_id}, last_page_cost_time: {get_delta_time(start_time)}"
+                f'page_id: {page_id}, last_page_cost_time: {get_delta_time(start_time)}'
             )
             start_time = time_now
 
-        '''解析pdf中的每一页'''
+        """解析pdf中的每一页"""
         if start_page_id <= page_id <= end_page_id:
-            page_info = parse_page_core(pdf_docs, magic_model, page_id, pdf_bytes_md5, imageWriter, parse_mode)
+            page_info = parse_page_core(
+                page, magic_model, page_id, pdf_bytes_md5, imageWriter, parse_mode
+            )
         else:
-            page_w = page.rect.width
-            page_h = page.rect.height
-            page_info = ocr_construct_page_component_v2([], [], page_id, page_w, page_h, [],
-                                                [], [], [], [],
-                                                True, "skip page")
-        pdf_info_dict[f"page_{page_id}"] = page_info
+            page_info = page.get_page_info()
+            page_w = page_info.w
+            page_h = page_info.h
+            page_info = ocr_construct_page_component_v2(
+                [], [], page_id, page_w, page_h, [], [], [], [], [], True, 'skip page'
+            )
+        pdf_info_dict[f'page_{page_id}'] = page_info
 
     """分段"""
     para_split(pdf_info_dict, debug_mode=debug_mode)
@@ -441,7 +515,7 @@ def pdf_parse_union(pdf_bytes,
     """dict转list"""
     pdf_info_list = dict_to_list(pdf_info_dict)
     new_pdf_info_dict = {
-        "pdf_info": pdf_info_list,
+        'pdf_info': pdf_info_list,
     }
 
     clean_memory()

magic_pdf/tools/common.py

@@ -6,8 +6,8 @@ import click
 from loguru import logger
 
 import magic_pdf.model as model_config
-from magic_pdf.libs.draw_bbox import (draw_layout_bbox, draw_span_bbox,
-                                      draw_model_bbox, draw_line_sort_bbox)
+from magic_pdf.libs.draw_bbox import (draw_layout_bbox, draw_line_sort_bbox,
+                                      draw_model_bbox, draw_span_bbox)
 from magic_pdf.libs.MakeContentConfig import DropMode, MakeMode
 from magic_pdf.pipe.OCRPipe import OCRPipe
 from magic_pdf.pipe.TXTPipe import TXTPipe

magic_pdf/utils/annotations.py

+
+from loguru import logger
+
+
+def ImportPIL(f):
+    try:
+        import PIL  # noqa: F401
+    except ImportError:
+        logger.error('Pillow not installed, please install by pip.')
+        exit(1)
+    return f

tests/test_data/assets/jsonl/test_01.jsonl

+{"track_id":"e8824f5a-9fcb-4ee5-b2d4-6bf2c67019dc","path":"s3://sci-hub/enbook-scimag/78800000/libgen.scimag78872000-78872999/10.1017/cbo9780511770425.012.pdf","file_type":"pdf","content_type":"application/pdf","content_length":80078,"title":"German Idealism and the Concept of Punishment || Conclusion","remark":{"file_id":"scihub_78800000/libgen.scimag78872000-78872999.zip_10.1017/cbo9780511770425.012","file_source_type":"paper","original_file_id":"10.1017/cbo9780511770425.012","file_name":"10.1017/cbo9780511770425.012.pdf","author":"Merle, Jean-Christophe"}}

tests/test_data/assets/jsonl/test_02.jsonl

+{"track_id":"e8824f5a-9fcb-4ee5-b2d4-6bf2c67019dc","path":"tests/test_data/assets/pdfs/test_02.pdf","file_type":"pdf","content_type":"application/pdf","content_length":80078,"title":"German Idealism and the Concept of Punishment || Conclusion","remark":{"file_id":"scihub_78800000/libgen.scimag78872000-78872999.zip_10.1017/cbo9780511770425.012","file_source_type":"paper","original_file_id":"10.1017/cbo9780511770425.012","file_name":"10.1017/cbo9780511770425.012.pdf","author":"Merle, Jean-Christophe"}}

tests/test_data/data_reader_writer/test_filebase.py

+import os
+import shutil
+
+from magic_pdf.data.data_reader_writer import (FileBasedDataReader,
+                                               FileBasedDataWriter)
+
+
+def test_filebased_reader_writer():
+
+    unitest_dir = '/tmp/magic_pdf/unittest/data/filebased_reader_writer'
+    sub_dir = os.path.join(unitest_dir, 'sub')
+    abs_fn = os.path.join(unitest_dir, 'abspath.txt')
+
+    os.makedirs(sub_dir, exist_ok=True)
+
+    writer = FileBasedDataWriter(sub_dir)
+    reader = FileBasedDataReader(sub_dir)
+
+    writer.write('test.txt', b'hello world')
+    assert reader.read('test.txt') == b'hello world'
+
+    writer.write(abs_fn, b'hello world')
+    assert reader.read(abs_fn) == b'hello world'
+    shutil.rmtree(unitest_dir)

tests/test_data/data_reader_writer/test_multi_bucket_s3.py

+import json
+import os
+
+import fitz
+import pytest
+
+from magic_pdf.data.data_reader_writer import (MultiBucketS3DataReader,
+                                               MultiBucketS3DataWriter)
+from magic_pdf.data.schemas import S3Config
+
+
+@pytest.mark.skipif(
+    os.getenv('S3_ACCESS_KEY_2', None) is None, reason='need s3 config!'
+)
+def test_multi_bucket_s3_reader_writer():
+    """test multi bucket s3 reader writer must config s3 config in the
+    environment export S3_BUCKET=xxx export S3_ACCESS_KEY=xxx export
+    S3_SECRET_KEY=xxx export S3_ENDPOINT=xxx.
+
+    export S3_BUCKET_2=xxx export S3_ACCESS_KEY_2=xxx export S3_SECRET_KEY_2=xxx export S3_ENDPOINT_2=xxx
+    """
+    bucket = os.getenv('S3_BUCKET', '')
+    ak = os.getenv('S3_ACCESS_KEY', '')
+    sk = os.getenv('S3_SECRET_KEY', '')
+    endpoint_url = os.getenv('S3_ENDPOINT', '')
+
+    bucket_2 = os.getenv('S3_BUCKET_2', '')
+    ak_2 = os.getenv('S3_ACCESS_KEY_2', '')
+    sk_2 = os.getenv('S3_SECRET_KEY_2', '')
+    endpoint_url_2 = os.getenv('S3_ENDPOINT_2', '')
+
+    s3configs = [
+        S3Config(
+            bucket_name=bucket, access_key=ak, secret_key=sk, endpoint_url=endpoint_url
+        ),
+        S3Config(
+            bucket_name=bucket_2,
+            access_key=ak_2,
+            secret_key=sk_2,
+            endpoint_url=endpoint_url_2,
+        ),
+    ]
+
+    reader = MultiBucketS3DataReader(default_bucket=bucket, s3_configs=s3configs)
+    writer = MultiBucketS3DataWriter(default_bucket=bucket, s3_configs=s3configs)
+
+    bits = reader.read('meta-index/scihub/v001/scihub/part-66210c190659-000026.jsonl')
+
+    assert bits == reader.read(
+        f's3://{bucket}/meta-index/scihub/v001/scihub/part-66210c190659-000026.jsonl'
+    )
+
+    bits = reader.read(
+        f's3://{bucket_2}/enbook-scimag/78800000/libgen.scimag78872000-78872999/10.1017/cbo9780511770425.012.pdf'
+    )
+    docs = fitz.open('pdf', bits)
+    assert len(docs) == 10
+
+    bits = reader.read(
+        'meta-index/scihub/v001/scihub/part-66210c190659-000026.jsonl?bytes=566,713'
+    )
+    assert bits == reader.read_at(
+        'meta-index/scihub/v001/scihub/part-66210c190659-000026.jsonl', 566, 713
+    )
+    assert len(json.loads(bits)) > 0
+
+    writer.write_string(
+        'unittest/data/data_reader_writer/multi_bucket_s3_data/test01.txt', 'abc'
+    )
+
+    assert 'abc'.encode() == reader.read(
+        'unittest/data/data_reader_writer/multi_bucket_s3_data/test01.txt'
+    )
+
+    writer.write(
+        'unittest/data/data_reader_writer/multi_bucket_s3_data/test02.txt',
+        '123'.encode(),
+    )
+
+    assert '123'.encode() == reader.read(
+        'unittest/data/data_reader_writer/multi_bucket_s3_data/test02.txt'
+    )

tests/test_data/data_reader_writer/test_s3.py

+import json
+import os
+
+import pytest
+
+from magic_pdf.data.data_reader_writer import S3DataReader, S3DataWriter
+
+
+@pytest.mark.skipif(
+    os.getenv('S3_ACCESS_KEY', None) is None, reason='need s3 config!'
+)
+def test_multi_bucket_s3_reader_writer():
+    """test multi bucket s3 reader writer must config s3 config in the
+    environment export S3_BUCKET=xxx export S3_ACCESS_KEY=xxx export
+    S3_SECRET_KEY=xxx export S3_ENDPOINT=xxx."""
+    bucket = os.getenv('S3_BUCKET', '')
+    ak = os.getenv('S3_ACCESS_KEY', '')
+    sk = os.getenv('S3_SECRET_KEY', '')
+    endpoint_url = os.getenv('S3_ENDPOINT', '')
+
+    reader = S3DataReader(bucket=bucket, ak=ak, sk=sk, endpoint_url=endpoint_url)
+    writer = S3DataWriter(bucket=bucket, ak=ak, sk=sk, endpoint_url=endpoint_url)
+
+    bits = reader.read('meta-index/scihub/v001/scihub/part-66210c190659-000026.jsonl')
+
+    assert bits == reader.read(
+        f's3://{bucket}/meta-index/scihub/v001/scihub/part-66210c190659-000026.jsonl'
+    )
+
+    bits = reader.read(
+        'meta-index/scihub/v001/scihub/part-66210c190659-000026.jsonl?bytes=566,713'
+    )
+    assert bits == reader.read_at(
+        'meta-index/scihub/v001/scihub/part-66210c190659-000026.jsonl', 566, 713
+    )
+    assert len(json.loads(bits)) > 0
+
+    writer.write_string(
+        'unittest/data/data_reader_writer/multi_bucket_s3_data/test01.txt', 'abc'
+    )
+
+    assert 'abc'.encode() == reader.read(
+        'unittest/data/data_reader_writer/multi_bucket_s3_data/test01.txt'
+    )
+
+    writer.write(
+        f'{bucket}/unittest/data/data_reader_writer/multi_bucket_s3_data/test02.txt',
+        '123'.encode(),
+    )
+
+    assert '123'.encode() == reader.read(
+        'unittest/data/data_reader_writer/multi_bucket_s3_data/test02.txt'
+    )

tests/test_data/io/test_s3.py

+import json
+import os
+
+import pytest
+
+from magic_pdf.data.io.s3 import S3Reader, S3Writer
+
+
+@pytest.mark.skipif(
+    os.getenv('S3_ACCESS_KEY', None) is None, reason='s3 config not found'
+)
+def test_s3_reader():
+    """test s3 reader.
+
+    must config s3 config in the environment export S3_BUCKET=xxx export S3_ACCESS_KEY=xxx export S3_SECRET_KEY=xxx
+    export S3_ENDPOINT=xxx
+    """
+
+    bucket = os.getenv('S3_BUCKET', '')
+    ak = os.getenv('S3_ACCESS_KEY', '')
+    sk = os.getenv('S3_SECRET_KEY', '')
+    endpoint_url = os.getenv('S3_ENDPOINT', '')
+    reader = S3Reader(bucket=bucket, ak=ak, sk=sk, endpoint_url=endpoint_url)
+    bits = reader.read(
+        'meta-index/scihub/v001/scihub/part-66210c190659-000026.jsonl'
+    )
+    assert len(bits) > 0
+
+    bits = reader.read_at(
+        'meta-index/scihub/v001/scihub/part-66210c190659-000026.jsonl',
+        566,
+        713,
+    )
+    assert len(json.loads(bits)) > 0
+
+
+@pytest.mark.skipif(
+    os.getenv('S3_ACCESS_KEY', None) is None, reason='s3 config not found'
+)
+def test_s3_writer():
+    """test s3 reader.
+
+    must config s3 config in the environment export S3_BUCKET=xxx export S3_ACCESS_KEY=xxx export S3_SECRET_KEY=xxx
+    export S3_ENDPOINT=xxx
+    """
+    bucket = os.getenv('S3_BUCKET', '')
+    ak = os.getenv('S3_ACCESS_KEY', '')
+    sk = os.getenv('S3_SECRET_KEY', '')
+    endpoint_url = os.getenv('S3_ENDPOINT', '')
+    writer = S3Writer(bucket=bucket, ak=ak, sk=sk, endpoint_url=endpoint_url)
+    test_fn = 'unittest/io/test.jsonl'
+    writer.write(test_fn, '123'.encode())
+    reader = S3Reader(bucket=bucket, ak=ak, sk=sk, endpoint_url=endpoint_url)
+    bits = reader.read(test_fn)
+    assert bits.decode() == '123'

tests/test_data/test_dataset.py

+
+from magic_pdf.data.dataset import ImageDataset, PymuDocDataset
+
+
+def test_pymudataset():
+    with open('tests/test_data/assets/pdfs/test_01.pdf', 'rb') as f:
+        bits = f.read()
+    datasets = PymuDocDataset(bits)
+    assert len(datasets) > 0
+    assert datasets.get_page(0).get_page_info().h > 100
+
+
+def test_imagedataset():
+    with open('tests/test_data/assets/pngs/test_01.png', 'rb') as f:
+        bits = f.read()
+    datasets = ImageDataset(bits)
+    assert len(datasets) == 1
+    assert datasets.get_page(0).get_page_info().w > 100

tests/test_data/test_read_api.py

+import os
+
+import pytest
+
+from magic_pdf.data.data_reader_writer import MultiBucketS3DataReader
+from magic_pdf.data.read_api import (read_jsonl, read_local_images,
+                                     read_local_pdfs)
+from magic_pdf.data.schemas import S3Config
+
+
+def test_read_local_pdfs():
+    datasets = read_local_pdfs('tests/test_data/assets/pdfs')
+    assert len(datasets) == 2
+    assert len(datasets[0]) > 0
+    assert len(datasets[1]) > 0
+
+    assert datasets[0].get_page(0).get_page_info().w > 0
+    assert datasets[0].get_page(0).get_page_info().h > 0
+
+
+def test_read_local_images():
+    datasets = read_local_images('tests/test_data/assets/pngs', suffixes=['png'])
+    assert len(datasets) == 2
+    assert len(datasets[0]) == 1
+    assert len(datasets[1]) == 1
+
+    assert datasets[0].get_page(0).get_page_info().w > 0
+    assert datasets[0].get_page(0).get_page_info().h > 0
+
+
+@pytest.mark.skipif(
+    os.getenv('S3_ACCESS_KEY_2', None) is None, reason='need s3 config!'
+)
+def test_read_json():
+    """test multi bucket s3 reader writer must config s3 config in the
+    environment export S3_BUCKET=xxx export S3_ACCESS_KEY=xxx export
+    S3_SECRET_KEY=xxx export S3_ENDPOINT=xxx.
+
+    export S3_BUCKET_2=xxx export S3_ACCESS_KEY_2=xxx export S3_SECRET_KEY_2=xxx export S3_ENDPOINT_2=xxx
+    """
+    bucket = os.getenv('S3_BUCKET', '')
+    ak = os.getenv('S3_ACCESS_KEY', '')
+    sk = os.getenv('S3_SECRET_KEY', '')
+    endpoint_url = os.getenv('S3_ENDPOINT', '')
+
+    bucket_2 = os.getenv('S3_BUCKET_2', '')
+    ak_2 = os.getenv('S3_ACCESS_KEY_2', '')
+    sk_2 = os.getenv('S3_SECRET_KEY_2', '')
+    endpoint_url_2 = os.getenv('S3_ENDPOINT_2', '')
+
+    s3configs = [
+        S3Config(
+            bucket_name=bucket, access_key=ak, secret_key=sk, endpoint_url=endpoint_url
+        ),
+        S3Config(
+            bucket_name=bucket_2,
+            access_key=ak_2,
+            secret_key=sk_2,
+            endpoint_url=endpoint_url_2,
+        ),
+    ]
+
+    reader = MultiBucketS3DataReader(bucket, s3configs)
+
+    datasets = read_jsonl(
+        f's3://{bucket}/meta-index/scihub/v001/scihub/part-66210c190659-000026.jsonl',
+        reader,
+    )
+    assert len(datasets) > 0
+    assert len(datasets[0]) == 10
+
+    datasets = read_jsonl('tests/test_data/assets/jsonl/test_01.jsonl', reader)
+    assert len(datasets) == 1
+    assert len(datasets[0]) == 10
+
+    datasets = read_jsonl('tests/test_data/assets/jsonl/test_02.jsonl')
+    assert len(datasets) == 1
+    assert len(datasets[0]) == 1

tests/test_model/assets/test_01.model.json

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+                "latex": ":"
+            },
+            {
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+                "latex": ":"
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+            {
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+                    135,
+                    2006
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+                "score": 0.39,
+                "latex": ":"
+            },
+            {
+                "category_id": 13,
+                "poly": [
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+                    1916,
+                    416,
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+                    400,
+                    1933
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+                "score": 0.38,
+                "latex": ":"
+            },
+            {
+                "category_id": 13,
+                "poly": [
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+                    1944,
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+                    1961,
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+                "score": 0.31,
+                "latex": ":"
+            },
+            {
+                "category_id": 15,
+                "poly": [
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+                    1943.0,
+                    1147.0,
+                    1968.0,
+                    798.0,
+                    1968.0
+                ],
+                "score": 0.95,
+                "text": "Fig 4  SSCP analysis of FHIT exon 4. T"
+            },
+            {
+                "category_id": 15,
+                "poly": [
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+                    1943.0,
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+                "score": 0.96,
+                "text": "Tumor tissue ; N :Corresponding"
+            },
+            {
+                "category_id": 15,
+                "poly": [
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+                    1979.0,
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+                ],
+                "score": 0.92,
+                "text": "normal tissue ; M : PBR322/Hae II Marker ; ssDNA"
+            },
+            {
+                "category_id": 15,
+                "poly": [
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+                    2004.0
+                ],
+                "score": 0.97,
+                "text": "Single-stranded DNA ; ds-"
+            },
+            {
+                "category_id": 15,
+                "poly": [
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+                    2015.0,
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+                ],
+                "score": 1.0,
+                "text": "DNA"
+            },
+            {
+                "category_id": 15,
+                "poly": [
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+                    2015.0,
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+                ],
+                "score": 0.98,
+                "text": "Double-stranded DNA"
+            },
+            {
+                "category_id": 15,
+                "poly": [
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+                    1880.0,
+                    698.0,
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+                    71.0,
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+                ],
+                "score": 0.96,
+                "text": "Fig 2Alterations of PCR amplified products of FHIT exon 3,4,5 and"
+            },
+            {
+                "category_id": 15,
+                "poly": [
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+                ],
+                "score": 0.98,
+                "text": "microsatellite marker D3S1300、D3S1312.A"
+            },
+            {
+                "category_id": 15,
+                "poly": [
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+                    1916.0,
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+                ],
+                "score": 0.9,
+                "text": "Deletion of exon5(arrows）;B :"
+            },
+            {
+                "category_id": 15,
+                "poly": [
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+                    1953.0,
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+                    1974.0,
+                    29.0,
+                    1974.0
+                ],
+                "score": 0.95,
+                "text": "Deletion of exon 3 A( arrows）;C : Deletion of microsatellite marker D3S1300,"
+            },
+            {
+                "category_id": 15,
+                "poly": [
+                    28.0,
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+                    1989.0,
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+                    2014.0
+                ],
+                "score": 1.0,
+                "text": "D3S1312.T"
+            },
+            {
+                "category_id": 15,
+                "poly": [
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+                    1989.0,
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+                    2014.0
+                ],
+                "score": 0.96,
+                "text": "Tumor ; N : Corresponding normal tissue ; L : Corresponding lymph"
+            },
+            {
+                "category_id": 15,
+                "poly": [
+                    30.0,
+                    2027.0,
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+                    2027.0,
+                    634.0,
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+                    2047.0
+                ],
+                "score": 0.94,
+                "text": "node tissue;M :DL2000 DNA marker;L1:Lewis ;A :A549;S SPAC-1"
+            },
+            {
+                "category_id": 15,
+                "poly": [
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+                    1259.0,
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+                    1280.0
+                ],
+                "score": 0.94,
+                "text": "Fig 3SSCP analysis of FHIT exon 3.The arrow indicateda deletion of"
+            },
+            {
+                "category_id": 15,
+                "poly": [
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+                    1294.0,
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+                    1294.0,
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+                ],
+                "score": 0.96,
+                "text": "exon 3 of 41T. T : Tumor tissue ; N : Corresponding normal tissue ; M PBR322/"
+            },
+            {
+                "category_id": 15,
+                "poly": [
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+                    1329.0,
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+                ],
+                "score": 0.95,
+                "text": "Hae Il Marker / ssDNA : Single-stranded DNA ; dsDNA"
+            },
+            {
+                "category_id": 15,
+                "poly": [
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+                    1329.0,
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+                ],
+                "score": 1.0,
+                "text": "Double-strandedDNA"
+            },
+            {
+                "category_id": 15,
+                "poly": [
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+                    1217.0,
+                    1269.0,
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+                    910.0,
+                    1241.0
+                ],
+                "score": 1.0,
+                "text": "图3FHIT基因外显子3的SSCP分析"
+            },
+            {
+                "category_id": 15,
+                "poly": [
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+                    1904.0,
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+                    1904.0,
+                    1269.0,
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+                    909.0,
+                    1927.0
+                ],
+                "score": 1.0,
+                "text": "图4FHIT基因外显子4的SSCP分析"
+            },
+            {
+                "category_id": 15,
+                "poly": [
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+                    563.0,
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+                    563.0,
+                    1077.0,
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+                    374.0,
+                    583.0
+                ],
+                "score": 0.99,
+                "text": "图1FHIT基因外显子3、4、5、8和微卫星灶的PCR扩增产物琼脂糖电泳图"
+            },
+            {
+                "category_id": 15,
+                "poly": [
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+                    1376.0,
+                    81.0,
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+                "score": 1.0,
+                "text": "13"
+            },
+            {
+                "category_id": 15,
+                "poly": [
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+                    600.0,
+                    1245.0,
+                    624.0,
+                    207.0,
+                    624.0
+                ],
+                "score": 0.96,
+                "text": "Fig 1 Agarose electrophoresis of PCR products of exor( A)3 ,4 ,5 ,8 and three microsatellite markers( B）of FHIT gene"
+            },
+            {
+                "category_id": 15,
+                "poly": [
+                    309.0,
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+                    634.0,
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+                ],
+                "score": 0.97,
+                "text": "M1 :DL2000 DNA marker ; M2 PBR322/Hae Il marker ; T :Tumor ; N :Corresponding normal tissue"
+            },
+            {
+                "category_id": 15,
+                "poly": [
+                    73.0,
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+                    1840.0,
+                    651.0,
+                    1864.0,
+                    73.0,
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+                ],
+                "score": 1.0,
+                "text": "图2FHIT基因外显子和微卫星灶PCR扩增产物缺失电泳图"
+            },
+            {
+                "category_id": 15,
+                "poly": [
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+                    600.0,
+                    1245.0,
+                    625.0,
+                    207.0,
+                    625.0
+                ],
+                "score": 0.96,
+                "text": "Fig 1  Agarose electrophoresis of PCR products of exor A)3 ,4 ,5 ,8 and three microsatellite markers( B)of FHIT gene"
+            },
+            {
+                "category_id": 15,
+                "poly": [
+                    309.0,
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+                    635.0,
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+                ],
+                "score": 0.97,
+                "text": "M1 :DL2000 DNA marker ; M2 PBR322/Hae Il marker ; T Tumor ; N :Corresponding normal tissue"
+            }
+        ],
+        "page_info": {
+            "page_no": 0,
+            "height": 2080,
+            "width": 1472
+        }
+    }
+]

tests/test_model/test_magic_model.py

+import json
+
+from magic_pdf.data.read_api import read_local_pdfs
+from magic_pdf.model.magic_model import MagicModel
+
+
+def test_magic_model_image_v2():
+    datasets = read_local_pdfs('tests/test_model/assets/test_01.pdf')
+    with open('tests/test_model/assets/test_01.model.json') as f:
+        model_json = json.load(f)
+
+    magic_model = MagicModel(model_json, datasets[0])
+
+    imgs = magic_model.get_imgs_v2(0)
+    print(imgs)
+
+    tables = magic_model.get_tables_v2(0)
+    print(tables)
+
+
+def test_magic_model_table_v2():
+    datasets = read_local_pdfs('tests/test_model/assets/test_02.pdf')
+    with open('tests/test_model/assets/test_02.model.json') as f:
+        model_json = json.load(f)
+
+    magic_model = MagicModel(model_json, datasets[0])
+    tables = magic_model.get_tables_v2(5)
+    print(tables)
+
+    tables = magic_model.get_tables_v2(8)
+    print(tables)