Beery | Backend application for sharing beers information | Microservice library

by lchrusciel PHP Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | Beery Summary

Beery is a PHP library typically used in Architecture, Microservice, MongoDB, Spring Boot applications. Beery has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Backend application for sharing beers information and rating them.

Support

Quality

Security

License

Reuse

Support

Beery has a low active ecosystem.

It has 36 star(s) with 5 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 2 have been closed. On average issues are closed in 133 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Beery is current.

Quality

Beery has 0 bugs and 0 code smells.

Security

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

Beery code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Beery does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

Installation instructions, examples and code snippets are available.

Beery saves you 1808 person hours of effort in developing the same functionality from scratch.

It has 3995 lines of code, 398 functions and 157 files.

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

Top functions reviewed by kandi - BETA

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

Creates abeer rate view .
Get the recommendation for a given conno .
Short description of method add
Apply abeer rating
Creates a Connecurur view
Returns true if the request supports the security context .
Apply the apply method .
Converts a value to its PHP representation .
It is used to create a connoisse
Dispach domain events .

Get all kandi verified functions for this library.

Beery Key Features

No Key Features are available at this moment for Beery.

Beery Examples and Code Snippets

No Code Snippets are available at this moment for Beery.

Community Discussions

Trending Discussions on Beery

How to parse CSV file with irregular use of quotes?

Adding comma separators to otherwise valid JSON string

How to remove 'duplicate' rows from joining the same pyspark dataframe?

QUESTION

How to parse CSV file with irregular use of quotes?

Asked 2019-Oct-29 at 13:24

I have to parse a comma-seperated CSV file which includes columns which have an irregular use of double-quotes. The file entries look like this:

...

ANSWER

Answered 2019-Oct-29 at 13:24

Your csv should actually look like this to be correct:

Source https://stackoverflow.com/questions/58604492

QUESTION

Adding comma separators to otherwise valid JSON string

Asked 2019-Jan-01 at 02:27

I have a JSON-like string read from many files that have JSON-like syntax without commas separating the root key-value pairs (e.g. "name": "Apple Beery" instead of "name": "Apple Beery",):

...

ANSWER

Answered 2019-Jan-01 at 02:27

You can use a regular expression to match the last character in a line (anything but a comma, {, or [) and, if the next line starts with a {, [, or ", replace with that character plus a comma. If there may be digits on the next line, add \d into the final character set too:

Source https://stackoverflow.com/questions/53992665

QUESTION

How to remove 'duplicate' rows from joining the same pyspark dataframe?

Asked 2018-Feb-19 at 02:25

I need to show a dataframe made by three columns. Two of them show the names of someone who worked in a common movie (indicated by code on the third code)

here's my code for the query:

...

ANSWER

Answered 2018-Feb-18 at 13:46

You can create a udf and do something like this

Source https://stackoverflow.com/questions/48850049

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

Vulnerabilities

No vulnerabilities reported

Install Beery

Run local instance of neo4j and MySQL database.

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 .

Find more information at: