hashids-python | Implementation of hashids ( http : //hashids | Build Tool library

by davidaurelio Python Version: v1.3.1 License: MIT

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

kandi X-RAY | hashids-python Summary

hashids-python is a Python library typically used in Utilities, Build Tool applications. hashids-python has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However hashids-python build file is not available. You can download it from GitHub.

Implementation of hashids (http://hashids.org) in Python. Compatible with Python 2 and Python 3

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hashids-python has a medium active ecosystem.

It has 1380 star(s) with 101 fork(s). There are 30 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 18 have been closed. On average issues are closed in 264 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of hashids-python is v1.3.1

Quality

hashids-python has 0 bugs and 0 code smells.

Security

hashids-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

hashids-python code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

hashids-python 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

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

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

hashids-python saves you 179 person hours of effort in developing the same functionality from scratch.

It has 443 lines of code, 77 functions and 3 files.

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

Top functions reviewed by kandi - BETA

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

Initialize this class with the given parameters .
Private helper to encode a set of values .
Ensure length .
Decode a hashid .
Reorder a string .
Wraps a deprecated method .
Split a string .
unhash a given character
Hash a number .
is an unsigned integer .

Get all kandi verified functions for this library.

hashids-python Key Features

No Key Features are available at this moment for hashids-python.

hashids-python Examples and Code Snippets

No Code Snippets are available at this moment for hashids-python.

Community Discussions

Trending Discussions on hashids-python

Insert hash id in database based on auto-increment id (needed for fast search?)

QUESTION

Insert hash id in database based on auto-increment id (needed for fast search?)

Asked 2017-Oct-02 at 13:32

I'm writing a simple flask-restful API and I need to insert some resource into database. I want to have hash id visible in the URL like this /api/resource/hSkR3V9aS rather than just simple auto-increment id /api/resource/34

My first thought was to use Hashids and just generate the hash_id from auto-increment id and store both values in the database, but the problem is that I would have to first INSERT new row of data, GET the id and then UPDATE the hash_id field.

Second attempt was to generate hash_id (e.g. sha1) not from id but some other field that I'm passing to databse and use it as a primary key (get rid of auto-inc id), but I fear that searching and comparing string each time rather than int will be much, much slower.

What is the best way to achive desired hash_id based URL along with acceptable speed of database SELECT queries?

I think this is the most related stack question, but it doesn't answer my question.

Major technology details: Python 3.6, flask_mysqldb library, MySQL database Please let me know if I ommited some information and I will provide it.

...

ANSWER

Answered 2017-Oct-02 at 13:32

I think I found a decent solution myself in this answer

Use cursor.lastrowid to get the last row ID inserted on the cursor object, or connection.insert_id() to get the ID from the last insert on that connection.

It's per-connection based so there is no fear that I'll have 2 rows with the same ID.

I'll now use previously mentioned by myself Hashids and return hashed value to client. Hashids can be also decoded and I'll do it each time I get a request from url with this hash id included.

Also I found out that MongoDB database generates this kind of hashed id by itself, maybe this is a solution for someone else with similar problem.

Source https://stackoverflow.com/questions/46524420

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

Vulnerabilities

No vulnerabilities reported

Install hashids-python

You can download it from GitHub.
You can use hashids-python 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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