Access to Express.js and Prisma console - shell

So im building app based on Express and using Prisma ORM. What i need is to SSH to a server, open up express.js console and create new db entry using prisma. Something similar to python manage.py shell for Django or rails console for Rails. Is there a solution for this of any kind?

Like I pointed in the comment there is a way ( kind of ) to get access to a running express instance. If that's all you need follow:
How can I open a console to interact with Express app?
Express doesn't exactly have a feature like rails console which is a framework feature in that case.
That said, I question the long term implication of this approach. If you really just need to seed some data, write an "init" script, and call it after you ssh into a server or using some CI/CD approach. This is more re-usable, since you can even pass a json file to the script to load dynamic data.
Also, Prismajs has an official way to seed the data ( if that's what you need) that you can leverage:
https://www.prisma.io/docs/guides/database/seed-database
UPDATE:
If you are able to run to code on your machine and point the remote database, then you can use node --inspect to debug in a chrome console. Which should give you about the same effect as a rails REPL
https://medium.com/#tbernardes/debugging-nodejs-with-chrome-inspector-devtools-1cd2ef323b5e

Related

H2O Steam deploy can't connect to Prediction Service Builder

I am trying to use h2o steam (running on localhost) to deploy a model. After importing the model from h2o flow, clicking the "deploy model" option in the "models" section of the project, filling out the resulting dialog box, and clicking the "deploy" button, the following messages are displayed:
At first I thought that it was because maybe I needed to start up the service builder on my own, so I started it up following the docs here, but still got the same error. Any suggestions would be appreciated. Thanks :)
Just make sure jetty HTTP server is running locally by executing the following in your shell:
java -jar var/master/assets/jetty-runner.jar var/master/assets/ROOT.war
Looking here, it seems like I would need to "override" some kind of default browser restriction for accessing localhost:8080 (which is what I assume steam is trying to do to launch the service builder (I don't know much about networking related stuff)). I got around this by launching steam with the command:
$ ./steam serve master --prediction-service-host=localhost --prediction-service-port-range=12345:22345
where the ports are some arbitrary range between (1025, 65535) which I got by word-searching the a page of the steam source code (line 182 as of the date of this posting).
Doing this lets me deploy the models through the steam dialog without any error messages. Again, I don't know much about networking related stuff, so if anyone has a better way to solve this problem (ie. allow access of localhost:8080) please post or comment. Thanks.

Working with Flask-Script and cron jobs

So I've been meaning to create a cron job on my prototype Flask app running on Heroku. Searching the web I found that the best way is by using Flask-Script but I fail to see the point of using it. Do I get easier access to my app logic and storage info? And if I do use Flask-Script, how do I organize it around my app? I'm using it right now to start my server without really knowing the benefits. My folder structure is like this:
/app
/manage.py
/flask_prototype
all my Flask code
Should I put the 'script.py' to be run by the Heroku Scheduler on app folder, the same level as manage.py? If so, do I get access to the models defined within flask_prototype?
Thank you for any info
Flask-Script just provides a framework under which you can create your script(s). It does not give you any better access to the application than what you can obtain when you write a standalone script. But it handles a few mundane tasks for you, like command line arguments and help output. It also folds all of your scripts into a single, consistent command line master script (this is manage.py, in case it isn't clear).
As far as where to put the script, it does not really matter. As long as manage.py can import it and register it with Flask-Script, and that your script can import what it needs from the application you should be fine.

Desktop SPARQL client for Jena (TDB)?

I'm working on an app that uses Jena for storage (with the TDB backend). I'm looking for something like the equivalent of Squirrel, that lets me see what's being stored, run queries etc. This seems like an obvious thing to need, but my (perhaps badly phrased) google queries aren't turning up anything promising.
Any suggestions, please? I'm on XP. Even a command line tool would be helpful.
Take a look at my Store Manager tool which is part of the dotNetRDF Toolkit which I develop as part of the wider dotNetRDF project I maintain.
It provides a fairly basic GUI through which you can connect to various Triple Stores including TDB provided that you expose your dataset via Joseki/Fuseki. You need to have .Net 3.5 installed to run the apps in the toolkit.
If you don't already expose your TDB dataset via HTTP try using Fuseki as it is ridiculously easy to use and can be run just on your local machine when necessary to make your TDB store available via HTTP for use with my tool e.g.
java -jar fuseki-0.1.0-server.jar --update --loc data /dataset
Please see the Fuseki wiki for more information on running Fuseki and the various options. In the above example Fuseki is run with SPARQL Update enabled (the --update flag), using the TDB dataset located in the directory data (the --loc data argument) and with a base URI of /dataset for the data.
Once running you can use my tool to connect to a Fuseki server by going to File > New Generic Store Manager, selecting the "Fuseki" tab from the dialog that appears, entering the URI http://localhost:3030/dataset/data and then clicking "Connect to Fuseki".
Twinkle is a handy SPARQL client : http://www.ldodds.com/projects/twinkle/
As it happens I'm working on something similar myself, but it still needs a lot of work (check back in a month :) http://hyperdata.org/wiki/Scute
first download jena fusaki from
https://jena.apache.org/download/index.cgi
un-zip the file and copy the "jena-fuseki-1.0.1" to c drive
open cmd
type for accesing the folder
"cd C:\jena-fuseki-1.0.1"
then type
"java -jar fuseki-server.jar --update --loc data /dataset"
at last open a browser and type
"localhost:3030/"
remember you must first declear the enviorment verible(located in system poperties then advance tab)
and edit variable name call "Path" in the "System verible" to
"C:\jena-fuseki-1.0.1"
I also develop a SPARQL client, Open Source in Java Swing: EulerGUI.
In fact it does a lot more, see the manual:
http://eulergui.svn.sourceforge.net/viewvc/eulergui/trunk/eulergui/html/documentation.html
For the SPARQL feature, better take the EulerGUI minimal build:
http://sourceforge.net/projects/eulergui/files/eulergui/1.11/

Is it possible to run locally JRuby on Google App Engine without restarting server on every change?

Unfortunately, GAE requires restart of the server on each code change.
Is it possible to prevent it and have immediate feedback after code save?
Or, can I import Google App Engine's API into my ruby code and run it on Sinatra server? Tried this but it fails on "import com.google.appengine.api" (it doesn't know what 'com' is).
For Sinatra, I use "Rerun" ( http://github.com/alexch/rerun ) which restarts server immediately after a change with minimum wait.
Thanks.
Try http://github.com/rkh/sinatra-reloader
OK, seems like JRuby on Rails doesn't need server restart, Sinatra reloaded/shotgun plugins didn't work well for me.
To run it I copied the files from http://rails-depot.appspot.com/src (the source # http://code.google.com/p/appengine-jruby/source/browse did not contain all the files).

Can you connect to a MS Access database from Ruby running on a Mac?

I'm pretty sure the answer is "no" but I thought I'd check.
Background:
I have some legacy data in Access, need to get it into MySQL, which will be the DB server for a Ruby application that uses this legacy data.
Data has to be processed and transformed. Access and MySQL schemas are totally different. I want to write a rake task in Ruby to do the migration.
I'm planning to use the techniques outlined in this blog post: Using Ruby and ADO to Work with Access Databases. But I could use a different technique if it solves the problem.
I'm comfortable working on Unix-like computers, such as Macs. I avoid working in Windows because it fills me with deep existential horror.
Is there a practical way that I can write and run my rake task on my Mac and have it reach across the network to the grunting Mordor that is my Windows box and delicately pluck the data out like a team of commandos rescuing a group of hostages? Or do I have to just write this and run it on Windows?
Why don't you export it from MS-Access into Excel or CSV files and then import it into a separate MySQL database? Then you can rake the new one to your heart's content.
Mac ODBC drivers that open Access databases are available for about $30.00
http://www.actualtechnologies.com/product_access.php is one. I just run access inside vmware on my mac and expore to csv/excel as CodeSlave mentioned.
ODBC might be handy in case you want to use the access database to do a more direct transfer.
Hope that helps.
I had a similar issue where I wanted to use ruby with sql server. The best solution I found was using jruby with the java jdbc drivers. I'm guessing this will work with access as well, but I don't know anything about access

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