Community Discussions

Hello,I am creating exercises for my team here at Globant, and I would like to know if it's possible to gain access to some raw data. This data would be used to train them in data extraction and normalization.Thank you for your assistance in this matter.

My Question is : Is it possible to use  Asset Hierarchy in Grafana?I found many things related to timeseries  but not related  Asset Hierarchy to Grafana. Thanks. 

I get this when I am trying to sign up from grafana with my Azure AD linked account dmangal@slb.com.Any idea how to solve this? 

It seems I can create transformations for types but there is no option to select a relationship when creating a transformation to a data model. Below it shows the “Target type and relationship” dropdown only has types but not relationships. Is there anything I missing?  

I encountered the following SSLCertVerificationError when trying to run the example notebook "1_Authentication" under "using-cognite-python-sdk".  The authentication via interactive login was successful. However, it threw the SSL error when executing “client.login.status()”ssl.SSLCertVerificationError: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: self signed certificate in certificate chain (_ssl.c:1129) I updated “certifi” as suggested in another discussion thread, but the error still exists. I’m using Python 3.9.12.ANy suggestion is appreciated.

Getting an error on 2_List_Search_Retrieve.ipynb:c = cauth.create_cognite_client(method="client-secret")AttributeError Traceback (most recent call last) c:\Users\tomas.kurten.perez\Downloads\COGNITE\using-cognite-python-sdk\notebooks\2_List_Search_Retrieve.ipynb Cell 7 in <cell line: 1>() ----> 1 c = cauth.create_cognite_client(method="client-secret") AttributeError: module 'auth' has no attribute 'create_cognite_client'

Below works and the data model is published.Data Model Version - 1type Employee @view(version: "1"){name: String}Next stepBelow doesn't work and I get an error "Can not change the nullability of the property\n We do not support modifying a field's 'required'ness at the moment."Data Model Version - 2type Employee @view(version: "2"){name: String!}

Hi. I have a working solution in ITG. The solution is a model with Fields, Facility, Discipline_Area, Function_Area, ControlObject and Weightobject.These Object’s is grouped to ConstructionNode in relation to Facility and WeightObjects.I have started migrating to FDM.I started replicating the ITG solutions, but am having problems publishing the solution.Example with Fields and Facility:type Fields {  Key: String  IsDeleted: String  Facility: [Facility]  Field_Name: String!  Location: String  Status: String  Discovered_Year: Float  Original_Reserve: Float  Remaining_Reserve: Float  Production_Start: String  Operator: String  EpocTimeChanged: Int  PopulationSystem: String  PopulationSource: String} type Facility {  Key: String  IsDeleted: String  Fields: Fields  "Discipline_Area: [Discipline_Area]"  Name: String  Description: String  SystemFullName: String  Project: String  SubProject: String  CadID: String  SapID: Float  ComosUID: String  EpocTimeChanged: Int  PopulationSystem: String 

SHOW COLUMNS IN `RawDBName`.`RAWTablename`;its throwing an errorTable or view not found: `RawDBName`.`RAWTablename`; line 1 pos 16; 'ShowColumns [col_name#28876297]

More of a design question: only interfaces are allowed after the implements keyword, so you have to know what types you plan to extend beforehand, but this is not always possible or reliable. Since interfaces also produce views, I am tempted to make everything an interface, but are there any downsides?

Hi Team, I am trying to populate FDM data model using Transformation.I am using direct relationship in my model. Let say EntityRelationship View has two fields to and From which referes to Entity view. These fields are coming as Struct<String,String> as destination type intransformation.I was trying to add Space:externalId in this field. However it is giving Incompatible type error.Can you please help.Thanks,Snehal.

Hi, I’m running a transform from Raw to insert/update Numeric values./* MAPPING_MODE_ENABLED: false *//* {"version":1,"sourceType":"raw","mappings":[{"from":"","to":"id"},{"from":"","to":"externalId"},{"from":"","to":"timestamp"},{"from":"","to":"value"}]} */SELECT dp.Tagname AS externalId,to_timestamp(DateTimeStamp, 'yyyy-M-d h:mm:ss') AS timestamp, cast(value AS double) FROM `ISTC_WW_InSQL`.`wwHistory` AS dp , --selecting from _cdf.timeseries means we select from the timeseries we ingested to CDF earlier. We do this to make sure all the time series we try to add data points to actually exist_cdf.timeseries AS ts WHERE dp.`Tagname` = ts.externalId--And to_timestamp(DateTimeStamp, 'yyyy-M-d h:mm:ss') Is Not Null  When previewing the code above, you can see some null values. Also, if you “run” the code it complains about nulls. (Not pictured.)   I think I’ve confirmed that the DateTimeStamp column in `ISTC_WW_InSQL`.`wwHistory` contains no null values.When, we UnComment the last line

Hi: I’m doing DATA ENGINEER BASICS - INTEGRATE course.Trying to execute Notebook 1, I cannot pass through the cell getting the authentication with Azure, namely:creds = authenticate_azure()Any help?P.S. I’m using Google Colab  

I’ve been introduced to CDF in the last 2 weeks, very interesting and learning through. Just wondering if CDF has been used for real time monitoring use cases, vs. predictive/BI type use cases. For example, how soon can the alerts be triggered from the time a new abnormal measurement is detected. I imagine that it depends on a lot of factors  such as network latency, source extractors, transform functions & schedules, Is there a threshold (say 1hr response time) beyond which CDF can be used.

Hi Team, I am facing some issues while using the above pipeline.yaml  file setup to run the pipeline, Could you please help me doing the devops setup so that i can understand the process.I will set up a call , please let me know your available timings. Regards,Nidhi N G

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The cognite replicator fails to replicate asset data and the behaviour is inconsistent. It worked yesterday and not working today. Note that all resource types like time series, events and datapoints are replicated consistently. I am getting below error while replicating the asset data.Please see attached screenshot for the successful run of the asset replication yesterdayTraceback (most recent call last):  File "/Users/j.subhash.parandekar/oid-replicator/oid_replicator/cognite_replicate.py", line 84, in <module>    assets.replicate(SOURCE_CLIENT, DEST_CLIENT, config=cognite_config,  File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/cognite/replicator/assets.py", line 324, in replicate    src_dst_ids_assets = create_hierarchy(                         ^^^^^^^^^^^^^^^^^  File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/cognite/replicator/assets.py", line 220, in create_hierarchy    updated_assets = replication

When adding a node instance with Float properties, it always gives an error “The value of property 'xxx' must be a 64 bit floating point number” if the value in the request body is 0 or negative number, but it works fine if the value is positive.Could you help take a look?

Hi Team, I am facing some issues while using the above pipeline.yaml  file setup which is suggeted by cdf team before, i am getting validation error, even after passing all mandatory fields.Could you please help me doing the devops setup so that i can understand the process.Please set up a call to work on this issue as it is impacting deliverables. Regards,Nidhi N G

I am trying to make a comparison between time series data from CDF and from Pi (accessed with the Seeq Python API). Some questions arise:​​​​​How do I ensure that the DateTimeIndex-s that are returned are identical? Why does CDF return DateTimeIndex with dates before my start value?Examples:Pulling a raw time series from Pi via Seeq looks like this:start = datetime(2021, 1, 1)end = datetime(2021, 1, 2)spy.pull(items, start=start, end=end, grid=None, quiet=True)And the CDF analog looks like this:start = datetime(2021, 1, 1)end = datetime(2021, 1, 2)cognite.datapoints.retrieve_dataframe( external_id=external_id, start=start, end=end, granularity=None)The resulting DateTimeIndex-es are not identical:From Pi via Seeq:DatetimeIndex(['2021-01-01 00:00:00+01:00', '2021-01-01 00:00:05+01:00', '2021-01-01 00:00:10+01:00', '2021-01-01 00:00:15+01:00', '2021-01-01 00:00:20+01:00', '2021-01-01 00:00:25+01:00', '2021-01-01 00:00:30+01:00', '2021

Hi Team, Please help with the current setup or process  of azure devops  to deploy Cognite (CDF) Function(API) to CDF project.

We are currently exploring workflow development on top of CDF python SDK. The client secret is used in the workflow code in order to connect with CDF project instance. This client secret is bound to expire after predefined interval. It will incur production downtime and manual intervention in order to update the secret.Can we have or do we have some concept similar to refresh tokens in CDF Python SDK.

Can we have function chaining feature in Cognite functions where on sucess/failure status of a function we initiate another function.

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Hi all,what's the best way to write a condition in the transformation query, that checks for presence of certain key in asset metadata?Example asset metadata:"KEY": "VALUE"pseudocode:select * from _cdf.assets A where ‘KEY’ in A.metadata.keys I’ve been provided with following solutiion by Cognite support, with a note to ask here. Is there a better/other solution?select * from _cdf.assets where metadata['KEY'] is not null;