fast-autocomplete | Fast Autocomplete : When Elastcsearch suggestions | Autocomplete library

by seperman Python Version: 0.9.0 License: MIT

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

kandi X-RAY | fast-autocomplete Summary

fast-autocomplete is a Python library typically used in User Interface, Autocomplete applications. fast-autocomplete has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install fast-autocomplete' or download it from GitHub, PyPI.

Fast autocomplete using Directed Word Graph (DWG) and Levenshtein Edit Distance. The results are cached via LFU (Least Frequently Used).

Support

Quality

Security

License

Reuse

Support

fast-autocomplete has a low active ecosystem.

It has 233 star(s) with 36 fork(s). There are 15 watchers for this library.

It had no major release in the last 12 months.

There are 12 open issues and 18 have been closed. On average issues are closed in 22 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of fast-autocomplete is 0.9.0

Quality

fast-autocomplete has 0 bugs and 18 code smells.

Security

fast-autocomplete has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

fast-autocomplete code analysis shows 0 unresolved vulnerabilities.

There are 2 security hotspots that need review.

License

fast-autocomplete 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

fast-autocomplete releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

fast-autocomplete saves you 600 person hours of effort in developing the same functionality from scratch.

It has 1470 lines of code, 97 functions and 16 files.

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

Top functions reviewed by kandi - BETA

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

Generate a demo demo for the given modules
Performs fuzzy search
Find and sort the words in the given word
Search for a given word
Factory function for autocomplete factory
Get data from a file
Get all content from a file
Simple compress function
Populates the DawgNode
Insert a word into the tree
Insert a new node
Insert a word callback
Populate a redis client

Get all kandi verified functions for this library.

fast-autocomplete Key Features

No Key Features are available at this moment for fast-autocomplete.

fast-autocomplete Examples and Code Snippets

No Code Snippets are available at this moment for fast-autocomplete.

Community Discussions

Trending Discussions on fast-autocomplete

Handle load time of big JSON for autocomplete on the server side

QUESTION

Handle load time of big JSON for autocomplete on the server side

Asked 2020-Sep-28 at 00:14

Hello I have an app that have autocomplete suggestions for the user based on input in the search bar.

I use a package named fast_autocomplete which works great but I have a problem that each time I want to use the prediction I have to load 50MB of JSON data that I mad for the autocomplete (500K records). While running it on a server side loading, parsing and sending back the data is quite slow for what you would except for autocomplete functionality. It less than a second and right now (testing locally) its takes few seconds.

Checking the issue it seems that it takes a lot of time to load the 50MB JSON for each request. Loading the data and building the autocomplete object each time a new request comes in is a waste of time.

For that I wondered if there is a way to keep the object loaded alive all the time and when a new HTTP request comes in the JSON is already loaded. How big sites like Amazon, Ebay, Google makes there autocomplete so fast?

...

ANSWER

Answered 2020-Sep-28 at 00:14

If I understand correctly you're loading your data for every request despite that data staying the same for each user. Why not cache that data? or store it outside of your request handler's scope?

Source https://stackoverflow.com/questions/64094399

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

Vulnerabilities

No vulnerabilities reported

Install fast-autocomplete

Are you still on Python 2? TIME TO UPGRADE.

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: