Data Reader Writer ==================== Aims for read or write bytes from different media, You can implement new classes to meet the needs of your personal scenarios if MinerU have not provide the suitable classes. It is easy to implement new classes, the only one requirement is to inherit from ``DataReader`` or ``DataWriter`` .. code:: python class SomeReader(DataReader): def read(self, path: str) -> bytes: pass def read_at(self, path: str, offset: int = 0, limit: int = -1) -> bytes: pass class SomeWriter(DataWriter): def write(self, path: str, data: bytes) -> None: pass def write_string(self, path: str, data: str) -> None: pass Reader may curious about the difference between :doc:`io` and this section. Those two sections look very similarity at first glance. :doc:`io` provides fundamental functions, while This section thinks more at application level. Customer can build they own classes to meet their own applications need which may share same IO function. That is why we have :doc:`io`. Important Classes ----------------- .. code:: python class FileBasedDataReader(DataReader): def __init__(self, parent_dir: str = ''): pass class FileBasedDataWriter(DataWriter): def __init__(self, parent_dir: str = '') -> None: pass Class ``FileBasedDataReader`` initialized with unary param ``parent_dir``, That means that every method ``FileBasedDataReader`` provided will have features as follow. Features: #. read content from the absolute path file, ``parent_dir`` will be ignored. #. read the relative path, file will first join with ``parent_dir``, then read content from the merged path .. note:: ``FileBasedDataWriter`` shares the same behavior with ``FileBaseDataReader`` .. code:: python class MultiS3Mixin: def __init__(self, default_prefix: str, s3_configs: list[S3Config]): pass class MultiBucketS3DataReader(DataReader, MultiS3Mixin): pass All read-related method that class ``MultiBucketS3DataReader`` provided will have features as follow. Features: #. read object with full s3-format path, for example ``s3://test_bucket/test_object``, ``default_prefix`` will be ignored. #. read object with relative path, file will join ``default_prefix`` and trim the ``bucket_name`` firstly, then read the content. ``bucket_name`` is the first element of the result after split ``default_prefix`` with delimiter ``\`` .. note:: ``MultiBucketS3DataWriter`` shares the same behavior with ``MultiBucketS3DataReader`` .. code:: python class S3DataReader(MultiBucketS3DataReader): pass ``S3DataReader`` is build on top of MultiBucketS3DataReader which only support for bucket. So is ``S3DataWriter``. Read Examples ------------ .. code:: python # file based related file_based_reader1 = FileBasedDataReader('') ## will read file abc file_based_reader1.read('abc') file_based_reader2 = FileBasedDataReader('/tmp') ## will read /tmp/abc file_based_reader2.read('abc') ## will read /var/logs/message.txt file_based_reader2.read('/var/logs/message.txt') # multi bucket s3 releated multi_bucket_s3_reader1 = MultiBucketS3DataReader("test_bucket1/test_prefix", list[S3Config( bucket_name=test_bucket1, access_key=ak, secret_key=sk, endpoint_url=endpoint_url ), S3Config( bucket_name=test_bucket_2, access_key=ak_2, secret_key=sk_2, endpoint_url=endpoint_url_2, )]) ## will read s3://test_bucket1/test_prefix/abc multi_bucket_s3_reader1.read('abc') ## will read s3://test_bucket1/efg multi_bucket_s3_reader1.read('s3://test_bucket1/efg') ## will read s3://test_bucket2/abc multi_bucket_s3_reader1.read('s3://test_bucket2/abc') # s3 related s3_reader1 = S3DataReader( default_prefix_without_bucket = "test_prefix" bucket: "test_bucket", ak: "ak", sk: "sk", endpoint_url: "localhost" ) ## will read s3://test_bucket/test_prefix/abc s3_reader1.read('abc') ## will read s3://test_bucket/efg s3_reader1.read('s3://test_bucket/efg') Write Examples --------------- .. code:: python # file based related file_based_writer1 = FileBasedDataWriter('') ## will write 123 to abc file_based_writer1.write('abc', '123'.encode()) ## will write 123 to abc file_based_writer1.write_string('abc', '123') file_based_writer2 = FileBasedDataWriter('/tmp') ## will write 123 to /tmp/abc file_based_writer2.write_string('abc', '123') ## will write 123 to /var/logs/message.txt file_based_writer2.write_string('/var/logs/message.txt', '123') # multi bucket s3 releated multi_bucket_s3_writer1 = MultiBucketS3DataWriter("test_bucket1/test_prefix", list[S3Config( bucket_name=test_bucket1, access_key=ak, secret_key=sk, endpoint_url=endpoint_url ), S3Config( bucket_name=test_bucket_2, access_key=ak_2, secret_key=sk_2, endpoint_url=endpoint_url_2, )]) ## will write 123 to s3://test_bucket1/test_prefix/abc multi_bucket_s3_writer1.write_string('abc', '123') ## will write 123 to s3://test_bucket1/test_prefix/abc multi_bucket_s3_writer1.write('abc', '123'.encode()) ## will write 123 to s3://test_bucket1/efg multi_bucket_s3_writer1.write('s3://test_bucket1/efg', '123'.encode()) ## will write 123 to s3://test_bucket2/abc multi_bucket_s3_writer1.write('s3://test_bucket2/abc', '123'.encode()) # s3 related s3_writer1 = S3DataWriter( default_prefix_without_bucket = "test_prefix" bucket: "test_bucket", ak: "ak", sk: "sk", endpoint_url: "localhost" ) ## will write 123 to s3://test_bucket/test_prefix/abc s3_writer1.write('abc', '123'.encode()) ## will write 123 to s3://test_bucket/test_prefix/abc s3_writer1.write_string('abc', '123') ## will write 123 to s3://test_bucket/efg s3_writer1.write('s3://test_bucket/efg', '123'.encode()) Check :doc:`../../api/classes` for more intuitions or check :doc:`../../api/data_reader_writer` for more details