emoji-unicode 0.4

Replace unicode emojis by its corresponding image representation. Supports Unicode 9 standard.

# emoji-unicode

[](https://travis-ci.org/nitely/emoji-unicode)
[](https://coveralls.io/r/nitely/emoji-unicode)
[](https://pypi.python.org/pypi/emoji-unicode)
[](https://raw.githubusercontent.com/nitely/emoji-unicode/master/LICENSE)

Replace unicode emojis in a text. Supports *Unicode 10* standard.

## Compatibility

* Python 2.7 ([wide-build](http://emoji-unicode.readthedocs.org/en/latest/python2.html)),
3.3, 3.4, 3.5 and +3.6 (recommended)

## Install

```
$ pip install emoji-unicode
```

## Usage

### Replace

[docs](http://emoji-unicode.readthedocs.org/en/latest/api.html#emoji_unicode.replace)

```python
emoji_unicode.replace(
u'Time to ⛽',
lambda e: u'<img src="{filename}.svg" alt="{raw}">'.format(filename=e.code_points, raw=e.unicode)
)
# Time to <img src="26fd.svg" alt="⛽">
```

> Note: the [Emoji.code_points](http://emoji-unicode.readthedocs.org/en/latest/api.html#emoji_unicode.Emoji.code_points) are normalized.

### Normalize

This function removes optional characters that may appear depending on
the input source (Android, iOS, etc). For example the emoji variation `\\uFE0F`
may (or may not) appear in between a emoji and a skin tone modifier,
making the code points to be different. It should be used
to rename the image files.

[docs](http://emoji-unicode.readthedocs.org/en/latest/api.html#emoji_unicode.normalize)

```python
emoji_unicode.normalize(u'1F468-200D-2764-FE0F-200D-1F468')
# 1f468-2764-1f468
```

### Replace (advanced)

```python
PATTERN = re.compile(emoji_unicode.RE_PATTERN_TEMPLATE)


def match_handler(m):
e = emoji_unicode.Emoji(unicode=m.group('emoji'))
return u'<img src="{filename}.svg" alt="{raw}">'.format(
filename=e.code_points,
raw=e.unicode
)


re.sub(PATTERN, match_handler, u'Time to ⛽')
# Time to <img src="26fd.svg" alt="⛽">
```

## Docs

[docs](http://emoji-unicode.readthedocs.org/en/latest/)

## Unicode 8 emojis

If your current emoji package supports unicode 8,
which means it supports skin tones and [sequences](http://unicode.org/reports/tr51/),
then [normalizing](https://github.com/nitely/emoji-unicode#normalize) the file names
should be enough. But to handle unsupported emojis, for example future sequences,
they should be displayed as multiple glyphs.

Instead of displaying the `woman-kissing-man` glyph you may
display `woman`, `heart`, `kiss`, `man` glyphs.

Here is a example of how this could be handled:

```python
EMOJI_FILES = set(['1f469', '2764', '1f48b', '1f468']) # A set containing the emoji file names


def _render(unicode, code_points):
return u'<img src="{filename}.svg" alt="{alt}">'.format(filename=code_points, alt=unicode)


def render(e):
"""
Return the rendered html for the passed Emoji.
Return the html as multiple glyphs when the
emoji is a sequence not found within the files.
Return the raw unicode when one or more glyphs
are missing.
"""
if e.code_points in EMOJI_FILES:
return _render(e.unicode, e.code_points)

if any(c not in EMOJI_FILES for u, c in e.as_map()):
return e.unicode

return u''.join(_render(u, c) for u, c in e.as_map())


# This assumes `woman-kissing-man.svg` is missing
emoji_unicode.replace(
u'\U0001f469\u200d\u2764\ufe0f\u200d\U0001f48b\u200d\U0001f468',
render
)
# <img src="1f469.svg" alt="\U0001f469"><img src="2764.svg" alt="\u2764"> ...
```

## Dev

The `./emoji_unicode/pattern.py` file is generated
by parsing the `./emoji_unicode/emoji-data.txt` file,
then putting the output in a in-memory copy of
`./emoji_unicode/pattern_template.py`, and lastly
writing the result into `pattern.py`.

To generate the `pattern.py` file, run:

```
make gen
```

## Tests

```
make test
```

## Benchmark

This will run some silly benchmarks.

```
make bench
```

Here is the output on my machine:

```
emoji.replace()
text len: 10000
0.01640868396498263

re.sub() (raw match)
text len: 10000
0.005225047003477812

Text with no emojis
emoji.replace()
text len: 10000
0.0014624089817516506
```

## Acknowledgments

Thanks to [iamcal/emoji-data](https://github.com/iamcal/emoji-data)
for maintaining an incredible source of emojis that allowed me
to make a robust test suite.

## License
MIT