h_notify | hypothesis notification prototype

by judell Python Version: Current License: MIT

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

kandi X-RAY | h_notify Summary

h_notify is a Python library. h_notify has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However h_notify build file is not available. You can download it from GitHub.

This tool watches Hypothesis URLs, groups, tags, or users, and alerts on new annotation activity to Slack, email, or RSS. It runs as a standalone Python program, ideally on a server, but alternatively on an always-connected desktop computer. It periodically queries the Hypothesis API along one or more axes -- url (or wildcard_uri), user, group, tag -- and sends notifications by way of Slack, email, or RSS. See examples.py for recipes. To run a modified version of it, copy hypothesis.py (from h_notify.py, and examples.py into a directory, adjust examples.py as needed, and run python examples.py. The pickle argument to methods like notify_slack_url_activity, notify_slack_group_activity, notify_email_tag_activity, and notify_rss_group_activity names a file that's created, then updated, to remember the IDs of annotations already seen. So, for example, this call ... ... remembers IDs in urls.pickle.

Support

Quality

Security

License

Reuse

Support

h_notify has a low active ecosystem.

It has 28 star(s) with 5 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 2 have been closed. On average issues are closed in 24 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of h_notify is current.

Quality

h_notify has 0 bugs and 0 code smells.

Security

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

h_notify code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

h_notify 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

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

h_notify 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.

Top functions reviewed by kandi - BETA

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

Notify user about an annotation
Generate a dictionary of parameters for hypocent
Creates a simple payload from a message
Replace punctions in text
Add an annotation
Return the annotation data
Load the object from pickle
Save obj to pickle
Notify a group activity
Fetch a faceted relationship
Generate RSS feed
Send an annotation
Make email message
Notify an email URL
Notify an email group
Notify Slack URL
Notify an email tag
Notify Slack tag activity
Notify Slack group activity
Notify Slack user
Checks if a user has activity activity

Get all kandi verified functions for this library.

h_notify Key Features

No Key Features are available at this moment for h_notify.

h_notify Examples and Code Snippets

No Code Snippets are available at this moment for h_notify.

Community Discussions

No Community Discussions are available at this moment for h_notify.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install h_notify

You can download it from GitHub.
You can use h_notify 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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