Description
streaming_form_data provides a Python parser for parsing multipart/form-data input chunks (the most commonly used encoding when submitting values through HTML forms). Chunk size is determined by the API user, but currently there are no restrictions on what the size should be, since the parser works byte-by-byte. This also means that passing the entire input as a single chunk should also work.
Please note, that this library has only been tested with Python 3 (specifically, versions 3.3, 3.4, 3.5, and 3.6). Python 2.7 is not supported yet, but pull requests are always welcome. 🙂
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README
Streaming multipart/form-data parser
streaming_form_data provides a Python parser for parsing multipart/form-data
input chunks (the encoding used when submitting data over HTTP through HTML
forms).
Testimonials
"this speeds up file uploads to my Flask app by more than factor 10"
Installation
$ pip install streaming-form-data
In case you prefer cloning the Github repository and installing manually, please
note that master is the development branch, so stable is what you should be
working with.
Usage
>>> from streaming_form_data import StreamingFormDataParser
>>> from streaming_form_data.targets import ValueTarget, FileTarget, NullTarget
>>>
>>> headers = {'Content-Type': 'multipart/form-data; boundary=boundary'}
>>>
>>> parser = StreamingFormDataParser(headers=headers)
>>>
>>> parser.register('name', ValueTarget())
>>> parser.register('file', FileTarget('/tmp/file.txt'))
>>> parser.register('discard-me', NullTarget())
>>>
>>> for chunk in request.body:
... parser.data_received(chunk)
...
>>>
Documentation
Up-to-date documentation is available on Read the Docs.
Development
Please make sure you have Python 3.6+ and pip-tools installed.
Since this package includes a C extension, please make sure you have a working C
compiler available. On Debian-based distros this usually means installing the
build-essentials package.
Git clone the repository:
git clone https://github.com/siddhantgoel/streaming-form-dataInstall the packages required for development:
make pip-syncThat's basically it. You should now be able to run the test suite:
make test.
Please note that tests/test_parser_stress.py stress tests the parser with
large inputs, which can take a while. As an alternative, pass the filename as an
argument to py.test to run tests selectively.