streaming-form-data | Streaming parser for multipart/form-data written in Cython | Form library

by siddhantgoel Python Version: 1.15.0 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | streaming-form-data Summary

streaming-form-data is a Python library typically used in User Interface, Form, Numpy applications. streaming-form-data has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install streaming-form-data' or download it from GitHub, PyPI.

Streaming parser for multipart/form-data written in Python

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Quality

Security

License

Reuse

Support

streaming-form-data has a low active ecosystem.

It has 127 star(s) with 31 fork(s). There are 5 watchers for this library.

There were 2 major release(s) in the last 6 months.

There are 4 open issues and 26 have been closed. On average issues are closed in 171 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of streaming-form-data is 1.15.0

Quality

streaming-form-data has 0 bugs and 0 code smells.

Security

streaming-form-data has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

streaming-form-data code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

streaming-form-data is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

streaming-form-data releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

streaming-form-data saves you 723 person hours of effort in developing the same functionality from scratch.

It has 1795 lines of code, 144 functions and 23 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed streaming-form-data and discovered the below as its top functions. This is intended to give you an instant insight into streaming-form-data implemented functionality, and help decide if they suit your requirements.

Upload the uploaded file to the server
Process data received from the parser
Register a part of the parser
Parse the Content - Type header
Get the index
Open data file
Return random bytes
Parse command line arguments
Handle data received from the parser

Get all kandi verified functions for this library.

streaming-form-data Key Features

No Key Features are available at this moment for streaming-form-data.

streaming-form-data Examples and Code Snippets

No Code Snippets are available at this moment for streaming-form-data.

Community Discussions

Trending Discussions on streaming-form-data

Flask request.stream.read() is stopping when uploading file using SocketIO

QUESTION

Flask request.stream.read() is stopping when uploading file using SocketIO

Asked 2020-Sep-01 at 15:43

I am running a Flask production server using flask-socketio and eventlet and when trying to submit a form which contains a file to upload, Flask fails to read the entire request. This occurs when the file reaches above a few kb (around 50kb or more). The file I am trying to upload is a 60kb .txt file with a word on each line. Things work as expected with smaller file sizes of 1-2kb.

...

ANSWER

Answered 2020-Sep-01 at 15:43

Found the solution I needed for this and turns out it really wasn't down to Flask. In my POST I just needed to include chunking: true and it seems to be working fine from there.

E.g

Source https://stackoverflow.com/questions/63689691

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

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.