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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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Mugless DurrySeasoned ⭐️⭐️⭐️
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Postman does not work properly after authorization

I have begun the module: I followed instructions down to setting the environment variables:Then, authorization was updated: Get New Access Token is successful. Use Token clicked Then, to test, I went:  Cognite API collection > "Assets" folder > "List assets" > SendThis gives Error:  So, I deselect “minCreatedTime” parameter. (THERE IS NOTHING in the documentation that talks about this.)  The, press “Send” again.But then get this error when testing:So, deselect  “maxCreatedTime” , and progressively deselect minLastUpdatedTime; maxLastUpdatedTime as indicated by error messages.Finally,  Gives the error: Therefore, my attempt to list the assets in the CDF project has failed. Next, I try to list the timeseries data: timeseries > list time series > SendTry deselecting all the query parameters > Send   This time there is a listing of timeseries:  My questions:Q1. Why can I not list assets?Q2. Why can I list timeseries, but not assets? Thank you for your support. Regards,Dou

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Unexpected error: ValueError: Out of range float values are not JSON compliant. Make sure your data does not contain NaN(s) or +/- Inf!

Doing the ‘hands-on’ for Data Engineer Basics - “Learn to Use the Cognite Python SDK “ Course."I have done the following:Make a dataframe from reading from a csv file: One of the columns in the csv file is ‘region’. The 5 different values in the region column are  When the above code is run, the  following appears on the screen: Q1. Does this mean pandas has interpreted the region “None” as “nan”? If so that would explain why the following code throws “ValueError: Out of range float values are not JSON compliant. Make sure your data does not contain NaN(s) or +/- Inf!”  I would value your guidance as I have not worked with pandas() much at all.Thank you,Doug  

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Data in 'Learn to Use the Cognite Python SDK' is not as intended

Hi, I’m doing the Learn to Use the Cognite Python SDK module in the Data Scientist basics seems incorrect.For example, I’m in the notebook `2_List_Search_Retrieve.ipynb` and the data presented appears to be very random, and not industrial data. When I run a query like:`c.assets.list(metadata={'ELC_STATUS_ID': '1211'},limit=5)`  this comes back empty because there is no industrial data in any of the the datasets. In fact, almost all of the datsets in the c.data_sets.list() command are Deprecated and archived.It looks to me like potentially the datasets are tests that people have made. I would really like to be able to see some more realistic data in the dataset used for exploring the tool. Please let me know how I can do that, if anyone knows!

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Karina SaylemaSeasoned ⭐️⭐️
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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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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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Adrian DamsPractitioner ⭐️
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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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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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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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