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Pooja SinhaCommitted ⭐️
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john_ramirez
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john_ramirezCommitted ⭐️
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dalvaniamp
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dalvaniampSeasoned ⭐️⭐️⭐️
 Product User Community
Bert Verstraete
Practitioner ⭐️⭐️⭐️
Bert VerstraetePractitioner ⭐️⭐️⭐️
 Product User Community
New Feature: Retrying Workflow Executions

Hey Data Workflows users!We’ve just released highly-requested feature for Data Workflows, namely, being able to retry failed or timed-out executions. This endpoint resumes a previously failed, timed out, or terminated workflow execution by retrying tasks that did not complete successfully. It aims to resume execution activity from the point(s) of failure.Behaviour of the retry operation:Targeted Task Retry: Only retries tasks that have stopped in a terminal state such as CANCELED, FAILED, FAILED_WITH_TERMINAL_ERROR, and TIMED_OUT. Optional tasks are not retried. Subworkflows and Dynamic Tasks: When a failure occurs within a subworkflow or as part of a dynamic task, only the individual nested tasks that failed are retried. The subworkflow or dynamic task container itself is not retried. Retry Limits: Tasks that have reached or exceeded their designated retry limits will not have their retry counts reset to zero. Instead, each retry request permits these tasks a single additional retry.T

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Aditya Kotiyal
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Morten MovikCommitted ⭐️⭐️
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CogniteAPIError: RASTER properties only support embedded storage. | code: 400 |

I’m trying to upload a raster file to cdf, but I get this error message when trying to create the feature type. cognite.client.exceptions.CogniteAPIError: RASTER properties only support embedded storage. | code: 400 | X-Request-ID: 21781349-8ad8-9710-abdb-7c7199a268e7raster_ft = FeatureType( external_id="Raster_ft", data_set_id=1, properties={ "raster": {"type": "RASTER"} })client.geospatial.create_feature_types(raster_ft) # gives error messageIs this the right method to upload a raster to cdf? I found a method put_raster() in the docs, but it seems to require feature and feature type to be created already. The rest of my code:  # create raster featurefeature = Feature( external_id=f'raster.test', data_set_id=1, raster=open(raster_filepath) # What do I put here?)client.geospatial.create_features(feature_type_external_id='Raster_ft', feature=feature)# looks like I need the feature with the raster property, do I need this function?client.geospatial.put_raste

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Committed ⭐️⭐️
Anders Albert
Expert ⭐️⭐️⭐️⭐️
Anders AlbertExpert ⭐️⭐️⭐️⭐️
 Product User Community
Gaetan Helness
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Gaetan HelnessMVP ⭐️⭐️⭐️⭐️⭐️
 Product User Community
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Committed ⭐️
Risa ShereenCommitted ⭐️
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Anders Albert
Expert ⭐️⭐️⭐️⭐️
Anders AlbertExpert ⭐️⭐️⭐️⭐️
 Product User Community
K
Seasoned ⭐️⭐️
Karina SaylemaSeasoned ⭐️⭐️
 Product User Community
K
Seasoned ⭐️⭐️
Karina SaylemaSeasoned ⭐️⭐️
 Product User Community
Empty values load differently in Python SDK and DB-Extractor

Hi, everyoneI'm trying to load sequences using Python SDK by inserting dataframes. In the dataframe, I have some columns with NaN and numeric values. Dataframe:  and when loading NaN values, they are uploaded as 'null'. I've tried replacing them with empty strings, but due to the column definitions, if I have numeric values, the column's data type must be Double or Long, and conflicts arise when encountering empty strings.This is the code to load a sequence: Results in CDF using Python SDK: However, when loading the sequence via DB-Extractor, empty strings are uploaded as such and not as 'null' Is there any way to load via SDK so that NaN values are uploaded as empty and not 'null'?  Regards,Karina Saylema@Aditya Kotiyal  @HanishSharma  @Jason Dressel  @Jairo Salaya @Liliana Sierra  

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K
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Seasoned ⭐️⭐️
rmaidlaSeasoned ⭐️⭐️
 Product User Community
CDF new "Browse 3D" feedback

@Ragnhild Byrkjeland, @perolssoen, and @Christopher Tannum After using the new scene functionality in CDF, there are several things that I like about the application but also am experiencing some challenges that I believe need to be addressed before we can get end users to leverage the application:the asset layer seems to take a while to load on the backend. Not sure if there’s a way to set this up to load faster? once assets are loaded, the pop-up window that shows the contextualized information is very glitchy - rendering it almost un-useable In general it doesn’t seem like the asset overlay is very reactive to a click of the mouse, but more of a hover over which seems less intuitive for end users It would be great to have a speed slider - like the one that was present in remote - to fine-tune the navigation. This will be particularly helpful when we bring in our subsea models into the scene It would be great if we could set certain attributes to default to be toggled “off” when firs

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Ragnhild Byrkjeland
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Liliana SierraSeasoned ⭐️⭐️⭐️
 Product User Community
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Jadhav Yashaswini VithalActive ⭐️⭐️⭐️
 Product User Community
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Practitioner ⭐️
Rimmi AnandPractitioner ⭐️
 Product User Community
Function to trigger multiple instance of workflow

I am trying to trigger multiple workflow through function. I have a function(function name = "wk-func") that will trigger workflow instances(workflow name = ra-wkflw'), it has for loop , number of times workflow instances to be created, keeping in mind instances limit to be 50, still it is giving error for run on even 2 isntances, Function has following handle: def handle(client,handle):      for chunk in chunks(list,2):            workflow_input = {            "abc":data['value']        }        run = client.workflows.executions.trigger(            workflow_external_id='ra-wkflw', version=1,input=workflow_input        ) Its working if I run at my local IDE with passing the client details and trigger function handle. It triggers multiple workflows without any error.However, On running function using SDK,input_data = { ‘abc’:’hey’}client.functions.call(external_id ="wk-func", data = input_data)Function is completed, however, workflow instance is not being triggered and following error i

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Practitioner ⭐️
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Practitioner ⭐️
Adrian DamsPractitioner ⭐️
 Product User Community
Calculated timeseries stopped working

I have a calculation on a chart that was working well for quite a while, Then there was a network issue that stopped the data source from streaming data (this is the big triangular shape in the image below). Even though the data streaming got restored a short while after that, the issue I have is that the calculated value (the brown line) never got back to working. There was a short blip of time where it looked like it was working but that was just random values for a while. Does anyone know where I can see any logs associated with this calculation? I know you can’t edit the calculation - you have to delete it and create a new one - I guess I will likely do that but would also like to find out what the reason is for this calculation just stopping and not restarting properly?  

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Dilini Fernando
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K
Practitioner ⭐️
Kristian NymoenPractitioner ⭐️
 Product User Community
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Practitioner ⭐️⭐️⭐️
Pedro LindezaPractitioner ⭐️⭐️⭐️
 Product User Community
Cognite Data Fusion Bootcamp - 1st Edition

December 15th 2022 - SLB Offices @ Pune, IndiaOn the week of Dec 12th to Dec 16th, Maureen Byrne (Software Engineer), Maria Fonseca (Technical Support Engineer) and me (Data Engineer) travelled to Pune, India, to deliver the first Cognite Data Fusion Bootcamp for eighteen participants from SLB and Infosys. This training delivery marks a milestone for customer and partners of Cognite: this is the first training where Cognite instructors guide them through an end-to-end deployment of Cognite Data Fusion, including data integrations and solution-building.The bootcamp is an intensive 5-day training program that focuses on a complete deployment, bringing the different steps together with DevOps best practices from CDF bootstrapping to solution deployment, monitoring, and operations. Congratulations to the participants of the first bootcamp for gaining their Cognite Data Fusion Bootcamp Certificate!The three of us were very impressed by how fast the participants adopted DataOps tools and pra

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Maria Fonseca
Expert ⭐️⭐️⭐️⭐️
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Mugless DurrySeasoned ⭐️⭐️⭐️
 Product User Community
Why the Error 403 doing Data Engineer Basics - “Learn to Use the Cognite Python SDK “ Course."?

Doing the ‘hands-on’ for Data Engineer Basics - “Learn to Use the Cognite Python SDK “ Course."The instructions said “Make sure that the data set is write-protected”. So I had under Step 1:I then ran without error:That was YESTERDAY.TODAY, the 2nd block of commands threw an error: “CogniteAPIError: Resource not found. This may also be due to insufficient access rights. | code: 403 | X-Request-ID: f9083e61-8310-9462-9fb6-69f8da1299f3”So, after trying this and that, I changed the generated data_set to write protected = False in the 1st block of code above. --- >  The 2nd block of commands now works, just like YESTERDAY. Q1. Why did  ‘write protected = True’ work YESTERDAY, but not TODAY, giving Error 403?Q2. Why does ‘write protected = False’ work, but not ‘write protected = True’ , TODAY, that is?From where does this inconsistency come? Someone?Thank you!Douglas  

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M
Seasoned ⭐️⭐️⭐️
L
Seasoned ⭐️⭐️⭐️
Lavanya KannanSeasoned ⭐️⭐️⭐️
 Product User Community
install package 'cognite' for following Data Engineer Basics - Learn course

Hello! I am trying to follow along the Data Engineer Learn module. There are hands on exercises that needs me to install jupyter notebook - i used pip to do that. In the notebook 1_Authentication.ipynb, the package cognite is needed:from cognite.client.credentials import OAuthInteractivefrom cognite.client import CogniteClient, ClientConfigreturns the error---------------------------------------------------------------------------ModuleNotFoundError Traceback (most recent call last)Cell In[5], line 10 1 ## !pip3 install cognite 2 ## !pip3 show cognite-sdk 3 ## !pip3 show cognite-sdk (...) 8 #import cognite.client 9 #from cognite.client import CogniteClient---> 10 from cognite.client.credentials import OAuthInteractive 11 from cognite.client import CogniteClient, ClientConfigModuleNotFoundError: No module named 'cognite.client' I am able to install cognite using pip to version 0.04. However poetry add cognite in the ‘using-python-s

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Seasoned ⭐️⭐️⭐️
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Seasoned ⭐️⭐️⭐️
Adarsh DhimanSeasoned ⭐️⭐️⭐️
 Product User Community
T
Committed ⭐️⭐️⭐️
Tim HudsonCommitted ⭐️⭐️⭐️
 Open Industrial Data
A
Practitioner ⭐️⭐️⭐️
almir.mavliutovPractitioner ⭐️⭐️⭐️
 Product User Community
Set parameter 'name' as required (as required in UI) for DataModelApply in cognite-sdk

1. Field ‘name’ is required during creating data model in CDF.  But it is not required if create through SDK:data_models = [DataModelApply(space="mySpace",external_id="myDataModel",version="v1")] c.data_modeling.data_models.apply(data_models) 2.  For data models have values in ‘name’ and ‘description’ fields these fields would be cleared up if these parameters are not specified in DataModelApply. These code will clear name and description values (if ‘myDataModel’ had them):data_models = [DataModelApply(space="mySpace",external_id="myDataModel",version="v1")] c.data_modeling.data_models.apply(data_models)These code won’t clear name and description values (if ‘myDataModel’ had them):data_models = [DataModelApply(space="mySpace",external_id="myDataModel",version="v1", name=”myDataModel”, description=”My Description”)]c.data_modeling.data_models.apply(data_models)To fix make changes in cognite-sdk:Set ‘name’ as required for DataModelApply. Fix clearing values from name and description in D

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Anders Albert
Expert ⭐️⭐️⭐️⭐️
B
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Bruce GeeCommitted ⭐️⭐️
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Committed ⭐️⭐️
Bruce GeeCommitted ⭐️⭐️
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