flask-website | Twitter Dynamic Topic Modelling | Topic Modeling library

by AathmanT Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | flask-website Summary

flask-website is a Python library typically used in Artificial Intelligence, Topic Modeling, Angular applications. flask-website has no bugs, it has no vulnerabilities and it has low support. However flask-website build file is not available. You can download it from GitHub.

Twitter Dynamic Topic Modelling

Support

Quality

Security

License

Reuse

Support

flask-website has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

flask-website has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of flask-website is current.

Quality

flask-website has no bugs reported.

Security

flask-website has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

flask-website 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

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

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

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

Top functions reviewed by kandi - BETA

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

Decorator to log the phase of each token .
r Computes the maximum weighting of a graph .
r Estimate least squares .
Generate a table from a text file .
r Construct a networkx .
Optimizes edit paths .
Analyze group .
Updates an item .
Plot a dot plot .
Define prototype .

Get all kandi verified functions for this library.

flask-website Key Features

No Key Features are available at this moment for flask-website.

flask-website Examples and Code Snippets

No Code Snippets are available at this moment for flask-website.

Community Discussions

Trending Discussions on flask-website

Gitlab CI/CD caching cleanup mechanism

Flask Nginx Guincorn/uwsgi docker configuration

QUESTION

Gitlab CI/CD caching cleanup mechanism

Asked 2021-Mar-15 at 07:02

I have a simple .gitlab-ci.yml file which duty is to create venv && install requirements.txt && activate virtual environment in the before_script, but this is done only if the venv dir doesn't exists. Then in each next stage I want to re-use that cached venv which I can do successfully but with a problem between pipelines.

So the main idea is to have a cache that is independent on each pipeline, so for example, 1st time I push to gitlab and it runs this pipeline creating and using the cache, then the second time I push to gitlab I do not want that it would use previously created cache and would start fresh (because for e.g. I have new dependencies), but at the moment in Example 1 I always get the same cache and it always uses the same venv, which is not ideal. While in the Example 2 I have created a custom cleanup stage where I delete the cache, which works then fine as for the next pipeline I create a new venv dir and install all the requirements, but I get an ugly WARNING: venv/: no matching files which I do not want to see in results.

Custom cleanup cache warning message

...

ANSWER

Answered 2021-Mar-13 at 15:11

On Linux shell/docker executors use key: "$CI_PIPELINE_ID"

If you are using a requirements file with pinned versions, using $key: "$CI_COMMIT_REF_SLUG" would make more sense, since your requirements will only change in the commit ref changes. This will allow MR pipelines and branch pipelines with the same commit ref to share the cache.

%VAR% syntax is for Windows batch.

Source https://stackoverflow.com/questions/66600234

QUESTION

Flask Nginx Guincorn/uwsgi docker configuration

Asked 2017-Jun-24 at 01:03

I want to setup a Flask webiste on digitalocean with some links that launch some games either backed by tornando/twisted or to other Flask websites. The architecture for the website can be shown in the following diagram:

Most of the tutorials I have seen Example 1, Example 2 , Example 3 and some stackoverflow answers deal with this in one fashion or another. My issues with them is:

(a) Example 1 while being ridiculously easy, is opaque. It does not help me to understand ngnix, gunicorn properly to enable me to set up my application as shown in the figure above.

(b) Example 2, is what I am trying to use but when I go to my site url, it defaults to the nginx web page. I would post the link to the full problem. The link

My questions is this:

(a) Is my proposed architecture even feasible with the combination of Docker, Flask, Nginx and uwsgi/gunicorn? Is there a better way?

(b) Should I even use Docker? I wanted to use Docker to learn how to use docker-compose and eventually Docker Swarm, but if it is too much of hassle, I am willing to drop the idea entirely.

Thanks for your responses.

...

ANSWER

Answered 2017-Jun-23 at 23:54

nginx is your reverse proxy: it directs calls from a url to the proper server. You need nginx to be able to receive requests from multiple URL / domain names on to the same IP address: for example if site1.example.com, site2.example.com and site3.example.com all have a DNS record pointing to IP 111.222.333.444, nginx can understand that site1.example.com is your server1, site2 is server2 etc... (even if all these 'servers' are hosted on the same VM.
uwsgi/gunicorn is the server engine that Flask runs on.
Flask is the framework that helps you build the site, and runs on uwsgi/gunicorn.
Docker helps you containerize the apps (i.e. make them easy to deploy, reproducible no matter where you deploy)

So, in your case, you should use a Docker container per app, they can all run uwsgi/gunicorn on port 8000 for example, and serve your apps. With docker, on deploy, you can expose these containers with different ports (like app1->8000, app2->8001, app3->8002)

Then nginx should be exposed to the outside (i.e. port 443 for HTTPS/SSL, 80 for HTTP) and redirect requests per domain/url to the proper server port.

look for nginx multiple domains to find example config file for this purpose (like https://www.digitalocean.com/community/tutorials/how-to-set-up-nginx-server-blocks-virtual-hosts-on-ubuntu-14-04-lts)

Source https://stackoverflow.com/questions/44731235

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

Vulnerabilities

No vulnerabilities reported

Install flask-website

if installing plotnine gives error manually download shapely, fiona, pyproj from https://www.lfd.uci.edu/~gohlke/pythonlibs/#pyproj.
pyqt4 from https://www.lfd.uci.edu/~gohlke/pythonlibs/#pyproj and pip install python-qt5.

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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