jsonlike | : no_entry : little hack for when json.loads complains | JSON Processing library

by shaunvxc Python Version: 0.0.2 License: MIT

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | jsonlike Summary

jsonlike is a Python library typically used in Utilities, JSON Processing applications. jsonlike 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 jsonlike' or download it from GitHub, PyPI.

:no_entry: little hack for when json.loads() complains

Support

Quality

Security

License

Reuse

Support

jsonlike has a low active ecosystem.

It has 11 star(s) with 2 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

jsonlike has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of jsonlike is 0.0.2

Quality

jsonlike has 0 bugs and 0 code smells.

Security

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

jsonlike code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

jsonlike 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

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

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.

jsonlike saves you 34 person hours of effort in developing the same functionality from scratch.

It has 92 lines of code, 16 functions and 5 files.

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

Top functions reviewed by kandi - BETA

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

Remove bad blocks
Remove bad block from content

Get all kandi verified functions for this library.

jsonlike Key Features

No Key Features are available at this moment for jsonlike.

jsonlike Examples and Code Snippets

No Code Snippets are available at this moment for jsonlike.

Community Discussions

Trending Discussions on jsonlike

Errors saving JSON data - NodeJS Express

multiprocessing queue issue with pickle dumps

How to import a large data set into MongoDB?

Collapsing ArrayList of objects based on two attributes to generate unique sets

QUESTION

Errors saving JSON data - NodeJS Express

Asked 2020-Aug-26 at 19:40

I am having a problem saving and accessing my JSON data, all of the objects within the JSON file get converted to string, even numbers.

Here is my express route to GET data from the HTML FORM

...

ANSWER

Answered 2020-Aug-26 at 19:40

What you are writing to the JSON file is not a valid JSON at all.

Source https://stackoverflow.com/questions/63602780

QUESTION

multiprocessing queue issue with pickle dumps

Asked 2019-Mar-29 at 09:45

I have read and read again the Python documentation about multiprocessing module and Queues management but I cannot find anything related to this issue that turns me crazy and is blocking my project:

I wrote a 'JsonLike' class which allows me to create an object such as :

...

ANSWER

Answered 2019-Mar-29 at 09:45

The problem is that you are messing with __getattr__. If you add a print statement inside this method, you will see that running the following code leads to a crash too:

Source https://stackoverflow.com/questions/55249537

QUESTION

How to import a large data set into MongoDB?

Asked 2017-Jul-11 at 10:00

I would like to import a large data set (over 1GB) into MongoDB. The data is provided in Mongo's JSONlike format.

My question is two parts:

To import the raw data into Mongodb, is this command the best approach, or is something else preferable? $ mongoimport --file dataset name --jsonArray
After importing the data into mongodb, how do I search the a collection for records that certain keywords.

The data I am using can be found here

Thank you!

...

ANSWER

Answered 2017-Apr-23 at 02:47

For Importing the Data

I would recommend managing your Mongo server via Studio 3T (formerly Mongo Chef), and using their GUI tools to import the data. If you are using a remote machine, you will need to setup your server for remote access.

For searching for a key term

This example will return all reviews that contain the text "good" or "enjoy":

Source https://stackoverflow.com/questions/43563544

QUESTION

Collapsing ArrayList of objects based on two attributes to generate unique sets

Asked 2017-Jun-29 at 19:12

I have a particular problem of reorganizing a set of data that I have. Currently my data is held in an ArrayList of the following class:

...

ANSWER

Answered 2017-Jun-29 at 19:12

Your code isn't based on the strategy that you think is the right one:

define a key, composed of the location and the category, defining hashCode and equals;
using that key to store all the employees associated to that key.

Just do that, and it will be much simpler:

Source https://stackoverflow.com/questions/44811392

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

Vulnerabilities

No vulnerabilities reported

Install jsonlike

You can install using 'pip install jsonlike' or download it from GitHub, PyPI.
You can use jsonlike 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

Fork it ( https://github.com/shaunvxc/jsonlike/fork )Create your feature branch (git checkout -b new-feature)Commit your changes (git commit -am 'Add some feature')Run the tests (make test)Push change to the branch (git push origin new-feature)Create a Pull Request

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