metabolize | Decodes HTML meta tags into a Golang struct | JSON Processing library

by keighl Go Version: Current License: Non-SPDX

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

kandi X-RAY | metabolize Summary

metabolize is a Go library typically used in Utilities, JSON Processing applications. metabolize has no bugs, it has no vulnerabilities and it has low support. However metabolize has a Non-SPDX License. You can download it from GitHub.

Decodes HTML values into a Golang struct. Great for quickly grabbing open graph data.

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metabolize has a low active ecosystem.

It has 22 star(s) with 7 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 12 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of metabolize is current.

Quality

metabolize has no bugs reported.

Security

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

License

metabolize has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Decode decodes data into obj .
ParseDocument takes an io . Reader and returns the meta data .
Show the metadata
Metabolize decodes document into obj

Get all kandi verified functions for this library.

metabolize Key Features

No Key Features are available at this moment for metabolize.

metabolize Examples and Code Snippets

No Code Snippets are available at this moment for metabolize.

Community Discussions

Trending Discussions on metabolize

How to extract data from asn1 data file and load it into a dataframe?

Python: Alternative to `.replace('null', '""')` to replace null and None values with string in nested JSON

I'm not sure what it means by invalid token

QUESTION

How to extract data from asn1 data file and load it into a dataframe?

Asked 2019-Dec-08 at 01:56

My ultimate goal is to load meta data received from PubMed into a pyspark dataframe. So far, I have managed to download the data I want from the PubMed data base using a shell script. The downloaded data is in asn1 format. Here is an example of a data entry:

...

ANSWER

Answered 2019-Dec-07 at 09:03

Your problem may not be simple but it's worth experimenting.

Method 1:

As you have the specification, you can try looking for an ASN.1 tool (aka ASN.1 compiler) that will create a data model. In your case, because you downloaded a textual ASN.1 value, you need this tool to provide ASN.1 value decoders.

If the tool was generating Java code, it would go like this:

Source https://stackoverflow.com/questions/59219279

QUESTION

Python: Alternative to `.replace('null', '""')` to replace null and None values with string in nested JSON

Asked 2019-Jun-22 at 06:54

This is a follow up to this stackoverflow question

Python replace None values in nested JSON

which gives this solution to replace all None and null values in a nested json

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ANSWER

Answered 2019-Jun-22 at 06:54

Structure-unaware string manipulation of hierarchical data is a bad idea - you should address the issue at its core instead, which is JSON encoding in your case. Sadly, the built-in json module doesn't allow an easy override of the default behavior for known structures and None is one of them. Unless you want to go in deep and override json.JSONEncoder.iterencode() (and its internal _iterencode_* methods) to force it to bend to your will, or use an alternative/slower JSON encoder, your best bet is to preprocess your data.

This is far simpler than you might think:

Source https://stackoverflow.com/questions/56712911

QUESTION

I'm not sure what it means by invalid token

Asked 2018-Jul-24 at 18:38

I'm not sure what it means by invalid token. This is the error log

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ANSWER

Answered 2018-Jul-24 at 18:38

01 is invalid. The integer number one in python is represented like this: 1

In python 2 starting with a 0 meant octal notation, but in python 3 it was deprecated to prevent mistakes. 0o1 is octal and 1 is decimal, 01 is syntax error now.

Source https://stackoverflow.com/questions/51505449

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