Using Dataiku

Hi @NiloofarDadras
,

If you want to send an email from an API endpoint, it's probably easiest to do this simply through a Python function in the API endpoint, and use Python to send the email. You can likely use the Python email package or any similar package.

Here is an example:

Here is the example Python function endpoint code where my SMTP server is running on 0.0.0.0:1025:

import smtplib

# Import the email modules we'll need
from email.message import EmailMessage

# Insert here initialization code

# This function is the entry point for your Python function API
# You can call this function with passing "param1", "param2",
# "param3" as arguments to the API call
# (see REST API documentation)
def api_py_function():
    
    print('do some stuff')
    
    print('sending email')
    

    msg = EmailMessage()
    msg.set_content('Your endpoint executed with the following results...')

    msg['Subject'] = 'Endpoint email'
    msg['From'] = 'sarina@dataiku.com'
    msg['To'] = 'sarina@dataiku.com'

    # Send the message via our own SMTP server.
    s = smtplib.SMTP('0.0.0.0:1025')
    s.send_message(msg)
    s.quit()

    return {}

 
Thanks,
Sarina

Hi @NiloofarDadras
,

If you want to send an email from an API endpoint, it's probably easiest to do this simply through a Python function in the API endpoint, and use Python to send the email. You can likely use the Python email package or any similar package.

Here is an example:

Here is the example Python function endpoint code where my SMTP server is running on 0.0.0.0:1025:

import smtplib

# Import the email modules we'll need
from email.message import EmailMessage

# Insert here initialization code

# This function is the entry point for your Python function API
# You can call this function with passing "param1", "param2",
# "param3" as arguments to the API call
# (see REST API documentation)
def api_py_function():
    
    print('do some stuff')
    
    print('sending email')
    

    msg = EmailMessage()
    msg.set_content('Your endpoint executed with the following results...')

    msg['Subject'] = 'Endpoint email'
    msg['From'] = 'sarina@dataiku.com'
    msg['To'] = 'sarina@dataiku.com'

    # Send the message via our own SMTP server.
    s = smtplib.SMTP('0.0.0.0:1025')
    s.send_message(msg)
    s.quit()

    return {}

 
Thanks,
Sarina

Hi @Dawood154
,

The error indicates Caused by: io.netty.channel.StacklessClosedChannelException. This may occur due to broken connection or other network issues.

Hi @Dawood154
,

The error indicates Caused by: io.netty.channel.StacklessClosedChannelException. This may occur due to broken connection or other network issues.

Hi @jaga
,

Documentation on how to create, train, and deploy models via Python is available here: https://doc.dataiku.com/dss/latest/python-api/ml.html

If you have any questions about the process, feel free to ask. Please provide your code when doing so.

Thanks,

Zach

Hi,

There are a number of methodologies available for reusing code within DSS. In the context of the Prepare recipe, the most straightforward are:

1) Copy/paste the Prepare steps into other Prepare recipes

2) Copy the entire Prepare recipe

3) Copy the subflow

Select the Prepare recipe > Flow Actions > Copy Subflow > Copy To

Hi @rbonazzoBfw
,

If I'm understanding correctly, the numbers render correctly like shown in my screenshots when you first upload them, but the format breaks after you convert them to Italian format?

Could you please provide more information about how exactly you're converting the numbers? For example, if you're using a Prepare recipe, could you please post a screenshot that shows the step that converts the numbers and also shows your column headers?

Thanks,

Zach

Hi @Erlebacher
,