Metadata-Version: 2.1
Name: docx2python
Version: 0.1
Summary: Extract content from docx files
Home-page: https://github.com/ShayHill/docx2python
Author: Shay Hill
Author-email: shay_public@hotmail.com
License: UNKNOWN
Description: #docx2python
        
        Extract docx headers, footers, text, properties, and images to a Python object.
        
        The code is an expansion/contraction of [python-docx2txt](https://github.com/ankushshah89/python-docx2txt) (Copyright (c) 2015 Ankush Shah). The original code is mostly gone, but some of the bones may still be here.
        
        __shared features__:
        * extracts text from docx files
        * extracts images from docx files
        * no dependencies (docx2python requires pytest to test)
        
        __additions:__
        * converts bullets and numbered lists to ascii with indentation
        * retains some structure of the original file (more below)
        * extracts document properties (creator, lastModifiedBy, etc.) 
        * inserts image placeholders in text ('`----image1.jpg----`')
        * (optionally) retains font size, font color, bold, italics, and underscore as html
        * full test coverage
        
          
        __subtractions:__
        * no command-line interface
        * will only work with later versions of Python
        
        
        #Installation
        ```bash
        pip install docx2python
        ```
        
        #Use
        
        ```python
        from docx2python import docx2python
        
        # extract docx content
        docx2python('path/to/file.docx')
        
        # extract docx content, write images to image_directory
        docx2python('path/to/file.docx', 'path/to/image_directory')
        
        # extract docx content with basic font styles converted to html
        docx2python('path/to/file.docx', html=True)
        ```
        
        Note on html feature:
        * font size, font color, bold, italics, and underline supported
        * every tag open in a paragraph will be closed in that paragraph (and, where appropriate, reopened in the next paragraph). If two subsequenct paragraphs are bold, they will be returned as `<b>paragraph q</b>`, `<b>paragraph 2</b>`. This is intentional to make  each paragraph its own entity. 
        * if you specify `export_font_style=True`, `>` and `<` in your docx text will be encoded as `&gt;` and `&lt;`
        
        #Return Value
        Function `docx2python` returns an object with several attributes.
        
        __header__ - contents of the docx headers in the return format described herein
        
        __footer__ - contents of the docx footers in the return format described herein
        
        __body__ - contents of the docx in the return format described herein
        
        __document__ - header  + body + footer 
        
        __text__ - all docx text as one string, similar to what you'd get from `python-docx2txt`
        
        __tables__ - all docx text as simple html tables
        
        __properties__ - docx property names mapped to values (e.g., `{"lastModifiedBy": "Shay Hill"}`)
        
        __images__ - image names mapped to images in binary format. Write to filesystem with
        
        ```
        for name, image in result.images.items():
            with open(name, 'wb') as image_destination:
                write(image_destination, image)
        ```
        
        #Return Format
        Some structure will be maintained. Text will be returned in a nested list, with paragraphs always at depth 4 (i.e., `output.body[i][j][k][l]` will be a paragraph).
        
        If your docx has no tables, output.body will appear as one a table with all contents in one cell:
        
        ```python
        [  # document
            [  # table
                [  # row
                    [  # cell
                        "Paragraph 1",
                        "Paragraph 2",
                        "-- bulleted list",
                        "-- continuing bulleted list",
                        "1)  numbered list",
                        "2)  continuing numbered list"
                        "    a)  sublist",
                        "        i)  sublist of sublist",
                        "3)  keeps track of indention levels",
                        "    a)  resets sublist counters"
                    ]
                ]
             ]
         ]
        ```
        
        Table cells will appear as table cells. Text outside tables will appear as table cells.
        
        
        To preserve the even depth (text always at depth 4), nested tables will appear as new, top-level tables. This is clearer with an example:
        
        ```python
        #  docx structure
        
        [  # document
            [  # table A
                [  # table A row
                    [  # table A cell 1
                        "paragraph in table A cell 1"
                    ],
                    [  # nested table B
                        [  # table B row
                            [  # table B cell
                                "paragraph in table B"
                            ]
                        ]
                    ],
                    [  # table A cell 2
                        'paragraph in table A cell 2'
                    ]
                ]
            ]
        ]
        ```
        
        becomes ...
        ```python
        [  # document 
            [  # table A
                [  # row in table A
                    [  # cell in table A
                        "table A cell 1"
                    ]
                ]
            ],
            [  # table B
                [  # row in table B
                    [  # cell in table B
                        "table B cell"
                    ]
                ]
            ],
            [  # table C
                [  # row in table C
                    [  # cell in table C
                        "table A cell 2"
                    ]
                ]
            ]
        ]
        ```
        
        This ensures text appears
        
            1) only once
            2) in the order it appears on the docx
            3) always at depth four (i.e., result.body[i][j][k][l] will be a string).
            
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
