Importing talend collection to postman - postman

How can we import talend collection to postman? I found a way to import postman into talend but not the other way round. Is there any script or tool to do the migration?

Related

Exported from Chrome Extension of Talend API Collection and import into Postman is not working?

I have Exported API Collection from Talend API Collection(chrome-extension://aejoelaoggembcahagimdiliamlcdmfm/index.html#requests) Chrome Extension for API Tested and try to import into Postman is not working?. Any one have idea how to make it work in postman
try to import the talend API Collection into POSTMAN tools . but its not working...
I'm guessing you exported a collection from the Talend API Tester tool, if so it's not possible to. The exports of the talend api tester only works within it share with other users or export then manually import it. You can import postman collections in it but not the other way.

Django admin command equivalent for gin golang

I want to write a script a to migrate data from one table to another using gin golang. The dataset is quite big so I can't create an API endpoint and do it as it will get timed out. I am looking an equivalent of django admin commands for golang that can help me to connect to the database easily and perform these task.

Airflow database querying

I am having a flask application which uses airflow data.I would like to access the airflow database from my flask application and query the data.I am able to run raw SQL query.But i should have a solution how to use SQL alchemy query technique in it. For example if i need the dag table data. I should be able to run Dag.query.all() to get all dag data.
Airflow uses SQLAlchemy (currently 1.1.x for the Airflow 1.10 trunk) to manage its models, so you can interact with and query them using the standard SQLAlchemy API as documented in the tutorial.
https://docs.sqlalchemy.org/en/rel_1_1/orm/tutorial.html
You can access your database using a standard database connection string from any Python code, such as your Flask app, as described in the above tutorial as well.
There are examples of various the database connection URL formats supported by create_engine() here.
https://docs.sqlalchemy.org/en/rel_1_1/core/engines.html#database-urls
You can find more info such as the fields on a particular model in Airflow's models.py file.
https://github.com/apache/incubator-airflow/blob/master/airflow/models.py
You can find more SQLAlchemy documentation here.
https://docs.sqlalchemy.org/en/rel_1_1/

How to use API Auth using Django MongoEngine REST?

I'm building an API REST using Django and MongoDB with django-rest-framework-mongoengine package from https://github.com/umutbozkurt/django-rest-framework-mongoengine
How can I use Django Rest Framework API TokenAuthentication if this package does not use Django's built in ORM ?
I solve it by handling TokenAuthentication or any other type of DRF auth using Django's build in ORM with MySQL database (Just to handle API authentication). I use MongoDB as my primary system database. So yes, i'm using two databases, one for auth API and the other for transactions.
Don't know if this is the best way to achieve this but it works.
I hope this helps to anyone who's trying or thinking to work with this architecture :)

Google App data store and GQL in Django

Is there a way to use GQL and Google App engine data store with Django? If yes then how to use it, I have searched on web but I am unable to find any satisfying answers to this problem?
In case of both cloud-sql and django-nonrel we dont use GQL as query language. They use SQL and MySql. But I wanted to use GQL in Django. So when I looked at documentation of Google app data store and GQL for google app engine webapp2 I found out that it has nothing to do with webapp2, instead it was for python. So only thing which I changed to make it working for Django was the method of rendering the request.