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'BuildFlowItemsStepResult' object has no attribute 'is_done'

Solved!
aldmimi
Level 1
'BuildFlowItemsStepResult' object has no attribute 'is_done'

Hello,

I tried to set up a timeout for a scenario build step like in this example using a python custom recipe

But running the flow, I encounter the following issue : 

AttributeError: 'BuildFlowItemsStepResult' object has no attribute 'is_done' ???

Do you know what the issue could be ? 

import dataiku
from dataiku.scenario import Scenario, BuildFlowItemsStepDefHelper
from dataikuapi.dss.future import DSSFuture
from datetime import datetime, timedelta
import time

s = Scenario()

# Define your build step below - this code is for specific building a dataset
now = datetime.now()
part_to_build = now.strftime("%Y-%m-%d-%H")
step_handle = s.build_dataset("events_staging",build_mode='RECURSIVE_FORCED_BUILD',partitions=part_to_build)

start = time.time()
while not step_handle.is_done():
    end = time.time()
    print(end, start, end-start)
    # Define your timeout time - example below is for more than 1000 seconds
    if end - start > 1800:
        f = DSSFuture(dataiku.api_client(), step_handle.future_id)
        f.abort()
        raise 'Took too much time'

 

0 Kudos
1 Solution
JordanB
Dataiker

Hi @aldmimi,

You will need to use async in your code and unfortunately, aysnc does not work in python versions greater than 3.6. You can run it if you have a Python3.6 code env.

Screenshot 2023-10-12 at 5.47.05 PM.png

Screenshot 2023-10-12 at 5.45.42 PM.png

If you prefer to use a later version of Python, you can use the asyncio library:

import time
import dataiku
from dataiku.scenario import Scenario, BuildFlowItemsStepDefHelper
from dataikuapi.dss.future import DSSFuture
import asyncio

async def function1():
    s = Scenario()
# Define your build step below - this code is for specific building a dataset
    step_handle = s.build_dataset("revenue_loss", asyncio="True", build_mode='RECURSIVE_FORCED_BUILD')
async def function2():
    start = time.time()
    while not step_handle.is_done():
        end = time.time()
        print(end, start, end-start)
        # Define your timeout time - example below is for more than 1000 seconds
        if end - start > 3:
            f = DSSFuture(dataiku.api_client(), step_handle.future_id)
            f.abort()
            raise 'Took too much time'
asyncio.gather(function1(), function2())

 

Thanks,

Jordan

View solution in original post

2 Replies
JordanB
Dataiker

Hi @aldmimi,

You will need to use async in your code and unfortunately, aysnc does not work in python versions greater than 3.6. You can run it if you have a Python3.6 code env.

Screenshot 2023-10-12 at 5.47.05 PM.png

Screenshot 2023-10-12 at 5.45.42 PM.png

If you prefer to use a later version of Python, you can use the asyncio library:

import time
import dataiku
from dataiku.scenario import Scenario, BuildFlowItemsStepDefHelper
from dataikuapi.dss.future import DSSFuture
import asyncio

async def function1():
    s = Scenario()
# Define your build step below - this code is for specific building a dataset
    step_handle = s.build_dataset("revenue_loss", asyncio="True", build_mode='RECURSIVE_FORCED_BUILD')
async def function2():
    start = time.time()
    while not step_handle.is_done():
        end = time.time()
        print(end, start, end-start)
        # Define your timeout time - example below is for more than 1000 seconds
        if end - start > 3:
            f = DSSFuture(dataiku.api_client(), step_handle.future_id)
            f.abort()
            raise 'Took too much time'
asyncio.gather(function1(), function2())

 

Thanks,

Jordan

aldmimi
Level 1
Author

Thank you so much Jordan. I tried the solution with the asyncio library, it works perfectly. Thank you