snoo | Wrapper around the SNOO Smart Bassinet API

by maebert Python Version: 0.3.1 License: MIT

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

kandi X-RAY | snoo Summary

snoo is a Python library typically used in Internet of Things (IoT), Nodejs, Raspberry Pi applications. snoo has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However snoo build file is not available. You can install using 'pip install snoo' or download it from GitHub, PyPI.

This is an API client to the SNOO Smart Bassinet. The SNOO is a bassinet that will rock your baby to sleep, and responds to the baby by trying to sooth it with different rocking motions and sounds when it detects crying. Currently, it supports getting the current session data from SNOO, and historic data. It does not allow you to control the SNOO (the control API is provided by PubNub and is different from the read-only data API hosted by happiestbaby.com).

Support

Quality

Security

License

Reuse

Support

snoo has a low active ecosystem.

It has 12 star(s) with 6 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

There are 4 open issues and 3 have been closed. On average issues are closed in 25 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of snoo is 0.3.1

Quality

snoo has 0 bugs and 0 code smells.

Security

snoo has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

snoo code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

snoo 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

snoo releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

snoo has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 307 lines of code, 34 functions and 4 files.

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

Top functions reviewed by kandi - BETA

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

Run snoo
Get current session
Make a request to the API
Gets the auth token
Get a list of days between start and end time
Summary of the current session
Humanize duration
Create a new day from data
Create a new session from data
Convert a row to a CSV string
Export all sessions
Export all days
Export all the sessions in the given range
Save configuration to file
Returns a dictionary of day stats

Get all kandi verified functions for this library.

snoo Key Features

No Key Features are available at this moment for snoo.

snoo Examples and Code Snippets

No Code Snippets are available at this moment for snoo.

Community Discussions

Trending Discussions on snoo

Compiler Warn on enum

QUESTION

Compiler Warn on enum

Asked 2021-Feb-24 at 04:40

Is there a way to get the compiler to warn if an integer is outside the 'range' of an enum ? For example, something like this:

...

ANSWER

Answered 2021-Feb-24 at 04:40

Not for gcc as of version 10.2. There's a related open enhancement request from 2002 but developers haven't seemed interested in implementing it.

clang will warn about this if given the -Wassign-enum option: https://godbolt.org/z/zv8an5

Source https://stackoverflow.com/questions/66344425

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

Vulnerabilities

No vulnerabilities reported

Install snoo

You can install using 'pip install snoo' or download it from GitHub, PyPI.
You can use snoo like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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