Expert-System | Generic Expert System with a custom Knowledgebase | Rule Engine library

by AP-Atul Python Version: Current License: MIT

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

kandi X-RAY | Expert-System Summary

Expert-System is a Python library typically used in Server, Rule Engine applications. Expert-System has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Expert-System build file is not available. You can download it from GitHub.

Generic Expert System with a custom Knowledgebase and Clause mappings.

Support

Quality

Security

License

Reuse

Support

Expert-System has a low active ecosystem.

It has 4 star(s) with 3 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

Expert-System has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Expert-System is current.

Quality

Expert-System has 0 bugs and 0 code smells.

Security

Expert-System has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Expert-System code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Expert-System 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

Expert-System releases are not available. You will need to build from source code and install.

Expert-System 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 225 lines of code, 35 functions and 9 files.

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

Top functions reviewed by kandi - BETA

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

Start the engine
Return the clause base
Add a clause
Parse the input file
Log a message
Log a message
Logs a message
Log a message at a WARNING level

Get all kandi verified functions for this library.

Expert-System Key Features

No Key Features are available at this moment for Expert-System.

Expert-System Examples and Code Snippets

No Code Snippets are available at this moment for Expert-System.

Community Discussions

Trending Discussions on Expert-System

EOF occurred in violation of protocol (_ssl.c:1125) on python:3.8-slim-buster

QUESTION

EOF occurred in violation of protocol (_ssl.c:1125) on python:3.8-slim-buster

Asked 2021-Apr-05 at 17:29

I recently updated a django api from 2.2 to 3.1. I updated the dockerfile and related bash files like django-cookiecutter did https://github.com/pydanny/cookiecutter-django/commit/b22045bcd4ebf563ccdcf226fb389a6bb71e2654#diff-1872e6a6f0bbcb27f2eda185ac89eed05eb7a402b298e58bcbef29bf039c2c13

The upgrade mostly went well except now in production we cannot send email. I have a minimal management command I run in production to test email settings

...

ANSWER

Answered 2021-Apr-04 at 14:06

So in short, it's very likely your mail server only supports TLS 1.1 or even only TLS 1.0 and the slim-buster image no longer has support for those protocols.

Going back to 3.7-alpine (which is known working combination) or an older ubuntu/debian version which still supports those protocols will allow you to send mail again.

Then you should upgrade your mail server, cause both TLS 1.0 and TLS 1.1 should have died long ago.

Edit:

Another way to test your mailserver is to use openssl's s_client command:

Source https://stackoverflow.com/questions/66924714

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

Vulnerabilities

No vulnerabilities reported

Install Expert-System

You can download it from GitHub.
You can use Expert-System 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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