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A lightweight tool that converts non-UTF-encoded (such as GB2312, GBK, BIG5 encoded) files to UTF-8 encoded files. At the same time, it can also remove Byte-order-mark (BOM) in those files.

Project description

Converts text files or source code files into UTF-8 encoding
============================================================

| This lightweight tool converts non-UTF-encoded (such as GB2312, GBK,
BIG5 encoded) files to UTF-8 encoded files.
| It can either be executed from command line (CLI), or imported into
other Python code.

Installation
------------

Automatic Installation (recommended)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

#. Make sure Python 3 is properly installed.
#. Setup Python virtual environment with ``virtualenv ...`` or
``python -m venv ...``

``pip install convert2utf``

Manual Installation (for developers only)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

#. Make sure Python 3 is properly installed.
#. Clone this project, or just download the zip file from github.com and
unarchive it
#. Start CLI (command line interface), enter the local folder
#. Setup Python virtual environment with ``virtualenv ...`` or
``python -m venv ...``
#. \`pip install -r requirements.txt1

Usage
-----

There is only one mandatory argument: filename, where you can specify
the directory or file name.

- ***Batch mode***: Pass in a directory as the input, and all text
files that meets the criteria underneath it will be converted to
UTF8-encoding.
- ***Single file mode***\ \_: If the input argument is just an
individual file, it would be straightforwardly converted to UTF-8.

***Examples:***

- Change all .txt files to UTF-8 encoding.

Those byte-order marks a.k.a. "BOM"s or "signature"s in existing
UTF-8 files will be removed.

``python cvt2utf8.py "D:\mynotebook"``

Afterwards, you could use any text editor (e.g. [Notepad++]
(https://notepad-plus-plus.org/)) to verify the text files underneath
the specified folder are already converted to UTF-8.

- Change all .csv files to UTF-8 encoding. Since BOM are used by some
applications (such as Microsoft Excel)

``python cvt2utf8.py "D:\mynotebook" --exts csv --keepbom``

- Convert all .php, .js, .java, .py files to UTF-8 encoding.

Also, make sure all BOMs are removed. They are really nuisance for
source code files!

``python cvt2utf8.py "D:\workspace" --exts php js java py``

- After manually verify the new UTF-8 files are correct, you can remove
all .bak files

``python cvt2utf8.py "D:\workspace" --cleanbak``

- Alternatively, if you are confident with Python's in-house encoding
and decoding, you can simply convert files without creating backups.

Do **NOT** call this, unless you know what you are doing.

``python cvt2utf8.py "D:\workspace" --overwrite``

- Converts an individual file

``python cvt2utf8.py "D:\workspace\a.txt"``

- Show help information

``python cvt2utf8.py -h``

(Linux only) Directly run the program
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Sometimes, you may want to run the program without specifying the Python
interpretor, such as:

::

./cvt2utf8.py "~/mynotebooks"

(Note the leading ``python`` command is missing here)

To achieve this, you first need to grant the execution permission onto
the Python, (skip this provided it already have the eXecution
permission:

::

sudo chmod +x ./cvt2utf8.py

Then activate the virtual environment:

::

. venv/bin/activate

Alternatively, if you already have all dependencies installed with your
default python environment, or you've already activated virtualenv’s
python you could skip this.

Then, make sure dependencies are installed

::

pip install -r requirements.txt

Finally, execute the file: (you could add command arguments here):

::

./cvt2utf8.py "~/the/base/dir"

You might want to use absolute path for this program if you are running
it in an arbitrary working directory.

Programmatically use this Python module
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

For Python programmers who want to use this module, see below

::

>>> from cvt2utf8 import Convert2Utf8
>>> cvt2utf8 = Convert2Utf8(['php', 'css', 'htm', 'html', 'js'], False, False)
>>> cvt2utf8.run('D:\\workspace')
>>> cvt2utf8.run('D:\\another\\folder')

| Note: the constructor Convert2Utf8() takes 3 arguments: the extension
list, the switch to keep BOM, the direct-overwriting mode.
| The usage of these arguments is same as the command-line method.

Miscellaneous
-------------

By default, the converted output text files will **NOT** contain BOM
(byte order mark). Should you want to learn what is BOM along with its
implication, please check: https://en.wikipedia.org/wiki/Byte_order_mark

FAQ
---

Why do we choose UTF-8 among all charsets?
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

**A**: For i18n, UTF-8 is wide spread. It is the de facto standard for
non-English texts.

Compared with UTF-16, UTF-8 is usually more compact and "with full
fidelity". It also doesn't suffer from the endianness issue of UTF-16.

Why do we need this tool?
^^^^^^^^^^^^^^^^^^^^^^^^^

**A**: Indeed, there are a bunch of text editors out there (such as
Notepad++) that handle various encodings of text files very well. Yet
for the purpose of **batch conversion** we need this Python script. This
script is also written for educational purpose -- developers can learn
from this script to get an idea of how to handle text encoding.

Why should we remove BOMs (byte order mark) rather than add them?
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

**A**: Most compilers and interpreters can handle UTF-8 source code
files very well, provided that those files are encoded **w/o** BOM. Some
compilers/interpreters might fail or give unexpected output whenever BOM
is present. For this reason, I strongly advise the removal of BOM
whenever we use UTF-8 encoding.

Side note: of course, there are certain situations where BOMs are
preferred. (For example, Microsoft Excel cannot parse correctly UTF8 w/o
BOM CSV files with international characters. ) Such situations are rare.
Overall, the necessity of BOM trumps other concerns.

Shall we trust this program?
^^^^^^^^^^^^^^^^^^^^^^^^^^^^

**A**: This code is still at its "beta" phase. We are striving to
deliver high reliable solutions to our users. You might be aware that
Python's built-in encoding/decoding mechanism may not be very reliable.
For that reason, we suggest users create backups, either manually
duplicate the file/directory, or automatically through our package
(remember, the backup feature will be short-circuited with the
``--overwrite`` switch)

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