Simple Data URL Model
Project description
durl-py
A lightweight Python library for working with Data URLs (RFC 2397).
Installation
pip install durl-py
Usage
DataURL Class
The durl.DataURL class provides a convenient way to create, parse, and manipulate Data URLs.
Creating a DataURL from raw data:
from durl import DataURL, MIMEType
# From bytes
data_url = DataURL.from_data(MIMEType.TEXT_PLAIN, b"Hello, World!")
print(data_url.url)
# data:text/plain;base64,SGVsbG8sIFdvcmxkIQ==
# From string
data_url = DataURL.from_data(MIMEType.TEXT_PLAIN, "Hello, World!")
print(data_url.url)
# data:text/plain;base64,SGVsbG8sIFdvcmxkIQ==
Parsing a DataURL string:
from durl import DataURL
data_url_string = "data:text/plain;base64,SGVsbG8sIFdvcmxkIQ=="
data_url = DataURL.from_url(data_url_string)
print(data_url.mime_type)
# text/plain
print(data_url.data_decoded)
# Hello, World!
message_contents_from_text function
The durl.message_contents_from_text function allows you to extract Data URLs from a string.
from durl import message_contents_from_text, DataURL
text = "Here is an image: data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAUAAAAFCAYAAACNbyblAAAAHElEQVQI12P4//8/w38GIAXDIBKE0DHxgljNBAAO9TXL0Y4OHwAAAABJRU5ErkJggg== and some text."
contents = message_contents_from_text(text)
print(contents[0])
# Here is an image:
assert isinstance(contents[1], DataURL)
print(contents[1].mime_type)
# image/png
print(contents[2])
# and some text.
Development
To install the development dependencies, run:
pip install -r requirements-all.txt
To run the tests, run:
pytest
License
This project is licensed under the MIT License. See the LICENSE file for details.
Project details
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