Source code for pdftools_sdk.optimization.optimizer

from __future__ import annotations
import io
from typing import List, Iterator, Tuple, Optional, Any, TYPE_CHECKING, Callable
from ctypes import *
from datetime import datetime
from numbers import Number
from pdftools_sdk.internal import _lib
from pdftools_sdk.internal.utils import _string_to_utf16, _utf16_to_string
from pdftools_sdk.internal.streams import _StreamDescriptor, _NativeStream
from pdftools_sdk.internal.native_base import _NativeBase
from pdftools_sdk.internal.native_object import _NativeObject

import pdftools_sdk.internal

if TYPE_CHECKING:
    from pdftools_sdk.pdf.document import Document
    from pdftools_sdk.optimization.profiles.profile import Profile
    from pdftools_sdk.pdf.output_options import OutputOptions

else:
    Document = "pdftools_sdk.pdf.document.Document"
    Profile = "pdftools_sdk.optimization.profiles.profile.Profile"
    OutputOptions = "pdftools_sdk.pdf.output_options.OutputOptions"


[docs] class Optimizer(_NativeObject): """ The class to optimize PDF documents """
[docs] def __init__(self): """ """ _lib.PdfToolsOptimization_Optimizer_New.argtypes = [] _lib.PdfToolsOptimization_Optimizer_New.restype = c_void_p ret_val = _lib.PdfToolsOptimization_Optimizer_New() if ret_val is None: _NativeBase._throw_last_error(False) super()._initialize(ret_val)
[docs] def optimize_document(self, in_doc: Document, out_stream: io.IOBase, profile: Profile, out_options: Optional[OutputOptions] = None) -> Document: """ Optimize the PDF document Args: inDoc (pdftools_sdk.pdf.document.Document): The input PDF document outStream (io.IOBase): The stream to which the output PDF is written profile (pdftools_sdk.optimization.profiles.profile.Profile): The profile defining the optimization parameters. outOptions (Optional[pdftools_sdk.pdf.output_options.OutputOptions]): The PDF output options, e.g. to encrypt the output document. Returns: pdftools_sdk.pdf.document.Document: The optimized result PDF, which can be used as a new input for further processing. Note that, this object must be disposed before the output stream object (method argument `outStream`). Raises: pdftools_sdk.license_error.LicenseError: The license check has failed. ValueError: An invalid encryption was specified in `outOptions`. pdftools_sdk.processing_error.ProcessingError: The processing has failed. OSError: Writing to the output PDF has failed. pdftools_sdk.generic_error.GenericError: A generic error occurred. """ from pdftools_sdk.pdf.document import Document from pdftools_sdk.optimization.profiles.profile import Profile from pdftools_sdk.pdf.output_options import OutputOptions if not isinstance(in_doc, Document): raise TypeError(f"Expected type {Document.__name__}, but got {type(in_doc).__name__}.") if not isinstance(out_stream, io.IOBase): raise TypeError(f"Expected type {io.IOBase.__name__}, but got {type(out_stream).__name__}.") if not isinstance(profile, Profile): raise TypeError(f"Expected type {Profile.__name__}, but got {type(profile).__name__}.") if out_options is not None and not isinstance(out_options, OutputOptions): raise TypeError(f"Expected type {OutputOptions.__name__} or None, but got {type(out_options).__name__}.") _lib.PdfToolsOptimization_Optimizer_OptimizeDocument.argtypes = [c_void_p, c_void_p, POINTER(pdftools_sdk.internal.streams._StreamDescriptor), c_void_p, c_void_p] _lib.PdfToolsOptimization_Optimizer_OptimizeDocument.restype = c_void_p ret_val = _lib.PdfToolsOptimization_Optimizer_OptimizeDocument(self._handle, in_doc._handle, _StreamDescriptor(out_stream), profile._handle, out_options._handle if out_options is not None else None) if ret_val is None: _NativeBase._throw_last_error(False) return Document._create_dynamic_type(ret_val)
@staticmethod def _create_dynamic_type(handle): return Optimizer._from_handle(handle) @classmethod def _from_handle(cls, handle): """ Internal factory method for constructing an instance using an internal handle. This method creates an instance of the class by bypassing the public constructor. """ instance = Optimizer.__new__(cls) # Bypass __init__ instance._initialize(handle) return instance def _initialize(self, handle): super()._initialize(handle)