gs-proxy | A simple cache proxy for Google spreadsheets | Platform As A Service library

by MinnPost Python Version: Current License: No License

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

kandi X-RAY | gs-proxy Summary

gs-proxy is a Python library typically used in Cloud, Platform As A Service applications. gs-proxy has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

A dead simple, caching proxy for Google spreadsheets. Uses Flask and meant to be deployed on Heroku.

Support

Quality

Security

License

Reuse

Support

gs-proxy has a low active ecosystem.

It has 30 star(s) with 7 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

gs-proxy has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of gs-proxy is current.

Quality

gs-proxy has 0 bugs and 0 code smells.

Security

gs-proxy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

gs-proxy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

gs-proxy 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

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

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

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

gs-proxy saves you 33 person hours of effort in developing the same functionality from scratch.

It has 90 lines of code, 5 functions and 1 files.

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

Top functions reviewed by kandi - BETA

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

Convert jsonp request to json .
Handle proxy request .
Check if a URL is a valid URL .
Make a proxy to the url
Show the supported proxy keys .

Get all kandi verified functions for this library.

gs-proxy Key Features

No Key Features are available at this moment for gs-proxy.

gs-proxy Examples and Code Snippets

No Code Snippets are available at this moment for gs-proxy.

Community Discussions

Trending Discussions on gs-proxy

Finding The Xpath On Yahoo Finance Using R

QUESTION

Finding The Xpath On Yahoo Finance Using R

Asked 2019-Aug-01 at 09:24

I am trying to scrape some data from yahoo finance. Usually I have no problem doing this. Today however, I have run into a problem trying to pull a certain container. What might be the reason this is giving me such a difficult time?

I have tried many combos of xpaths. Selector gadget for some reason can not pick up the xpath. I have posted some attempts and the url below.

The green aea is what I am trying to bring into my console.

...

ANSWER

Answered 2019-Aug-01 at 09:24

Your data doesn't reside within an actual html table.

You could use the following css selectors currently - though a lot of the page looks dynamic and I suspect attributes and classes will change in future. I tried to keep a little more generic to compensate but you should definitely seek to make this even more generic if possible.

I use css selectors throughout for the flexibility and specificity gained. The [] denote attribute selectors, the . denotes class selector, * is the contains operator specifiying that the left hand side attribute's value contains the right hand side string e.g. with [class*=screenerBorderGray] this means the class attribute contains the stringscreenerBorderGray.

The " " ,">" , "+" between selectors are called combinators and are used to specify relationships between nodes matched by consecutive parts of the selector sequence.

I generate a left column list of nodes and a right column list of nodes (ignoring the chart col in between). I then join these into a final dataframe.

Source https://stackoverflow.com/questions/57301538

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

Vulnerabilities

No vulnerabilities reported

Install gs-proxy

Create a virtualenv
pip install -r requirements.txt
Set spreadsheet keys that are acceptable: export GS_PROXY_KEYS=<KEY1>,<KEY2>,<KEY3>
Set how many minutes to keep cached values (default is 5): export GS_PROXY_CACHE=<MINUTES>
Run locally: python app.py
Go to http://localhost:5000

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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