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More details here: https://github.com/cognitedata/react-auth-wrapper/issues/15Perhaps it could be removed all together?

One thing that would make the finding of the correct data is to label the CDF resources better with labels. https://docs.cognite.com/dev/concepts/resource_types/labels In the contextualization pipeline could things be automatically labeled such as:Document type: P&ID, PDF(Process Flow Diagram), loop diagrams, datasheets, single line. that theses documents are either labeled from the metadata. document ID schema (regex will do it) or from classification algorithm the file, and then gives it a label to the file. that we can see from the label on the resource what it is.The same is for Asset: Is it a Junction box, Transmitter, Skid, Pump, Motor, valve etc etc. Time series: is it a physical measurement, is an inference / calculation / “soft-tag”, is a parameter (like the gain or integration time on PID controller) this could be determent by simple analyzing of the data-point behavior of the time series. cause now when we search for a time series often a time series of a parameter that

I just finished the cognite academy examples on contextualization. I did notice on the PID contextualization example that there were quite a few errors in what seems potentially character recognition pipeline to identify tags in the PDF.The tutorial stated that “these were all good” and “we can accept all”. I suspect such a process would create missing or strange links in the contextualized dataset.Are these known issues?I lack a bit the understanding of the context for the importance of these mispredictions,but I thought to report them anyway just in case.Happy to support you on improving these if they are something that needs improvement.

When I try to access cdf tenant URL (https://slb.fusion.cognite.com/), I get this error.I have been trying to figure this out but nothing so far, kindly suggest where to get these permissions from. 

<<URGENT>>Hi ,We are Unable to deploy Cognite Function. Below is the snippet for the same.Function ID : 269293733668660    @Philippe Bettler  could you please prioritize this issue.  

It would be really nice if we could control these log-messages in a more granular way:  

Please add better documentation around the behavior of status code 422 for Create Time Series.  Specifically, I’d like these questions answered:When multiple external ids are given and some are duplicate and some are not, will the time series that are not duplicates be inserted and will these created ids be returned in the response? Does this function similar to datapoints where create is actually create or update and the duplicates are updated with the data provided?  If not, what is the recommended pattern for create or update of time series entities through the API?I am aware of advice here around “EAFP vs LBYL”, but I am in a case where 98% of the time the time series will not exist and I’d like to optimize for this case.  Thanks!

I'm working with the time series data for anomaly detections models and I would like to know the units of the sensor data. I found a master thesis based on the Open Industrial Data and for the variables selected for it; the author specifies the units:  But from the data I downloaded with the SDK the tag VAL_23_KA_9101_M01_62C:Z.X.Value     does not have unit:  I looked into the meta data field an the engunits key is empty:{'P&ID No': None, 'PLC': None, 'PLC tagname': None, 'Sensor type': None, 'Tag group': None, 'Tag type': None, '_replicatedInternalId': '4326942079596138', '_replicatedSource': 'akerbp', '_replicatedTime': '1593024714000', 'archiving': '1', 'compdev': '0', 'compdevpercent': '0', 'compmax': '28800', 'compmin': '0', 'compressing': '1', 'convers': '1', 'descriptor': 'PH 1stStg Comp Mtr Current', 'digitalset': '', 'displaydigits': '-5', 'engunits': '', 'excdev': '0', 'excdevpercent': '0', 'excmax': '600', 'excmin': '0', 'exdesc': '', 'external id': None, 'filtercode':

Hi All. I am in search of a meter that measures either the power quality of the power supplied to the Valhall platform or a measurement of the power frequency (Hz) at the Valhall Platform. TO me, it does not look like such data exists here on the OID. Am I correct?

Hi, is is the any way to download the CAD files of the Vulkan Control Room?  Or the CAD files of any of the assests? for example the heat exchanger?  

I was looking at trends in the Remote App web version, using the cursor to touch tags. The detail pane shows the tag name(s) and current value where the cursor x axis crosses. The issue is the tag names are cutoff and mostly unreadable, the tag value is showing almost 10 or more decimal places. I would like to see the whole tag name and 1 or 2 decimal places, or use the signficant digits from the PI Server in the first place.

I tried to setup the CSV Extractor as shown in the training using PyCham but there was no .venv for the new project setup. Has someone encountered this experience? If yes, what was the workaround?  

Is there anyway, one can generate a personal access token using Databricks community Edition? I am working through the training and the only environment I have is to use the community edition. The training requires “Generate a personal access token” which is not possible. Is there any workaround? 

We are seeing inconsistencies between the number of files that an asset “Appears In” vs to the actual number of files that are in CDF:In the screenshot, the count is (5) however there are only 3 files. Upon checking further we realized that the count is coming from the number of Cognite Annotation events that were created during contextualization of the P&ID files.Even if the original file was deleted, the Cognite Annotation events for those file remain.This causes confusion to the user.Is it possible to have this fixed? i.e deleting a file would also then delete all Cognite Annotation events that was created for that file? Or if the Cognite Annotation events are to be kept, but the logic in how the number of files an asset appears in is updated so that it reflects the correct number of files that are still in the CDF project?

As Requested Creating this new bug on cognite function.Please assign this to below ids: ben.petree@cognite.com & philippe.bettler@cognite.com@Ben Petree @Philippe Bettler 

Request you to share on how to add environment specific URL(dev/prod/test) in handler.py in AIR. Also need to understand on how to get msal_token (bearer) authorization in AIR functions.Example:msal_token = request.headers.get("authorization")requests.get(sequence_generator_api, headers={"authorization": msal_token})where sequence_generator_api is environment specific API

I need to add a dashboard query that is simple to write with SQL but seems to be complex to write with the CDF API.Input parameters:start and end timestamp range List of time series to queryQuery steps:For each time series in the list, sum all values that are in the user provided range Order time series by the sum Return metadata from the top 10 of this ordered listMaybe something equivalent to this:-- Likely SLOW in a SQL DB with many datapoints-- This is a conceptual example, so simplifying by combining Time Series and -- Data Points to single entity.Select TOP 10 TimeSeries.Name, SUM(TimeSeries.Value)FROM TimeSeriesWHERE TimeSeries.Id IN (@ListOfTimeSeries)AND TimeSeries.Timestamp >= @StartTimestampAND TimeSeries.Timestamp < @EndTimestampGROUP BY TimeSeries.Id, TimeSeries.NameORDER BY SUM(TimeSeries.Value)What’s the simplest way to get to this data with the tools provided to a software developer interacting with CDF?

Hello!I am querying for DataPoints using the PostgreSQL Gateway, which I assume will have the same behavior as the DirectQuery feature built on the PostgreSQL Gateway.  What I am noticing is that I am not able to retrieve any DataPoints for future dates.  Is this intended or a bug?  Most of the data we produce and manage is in the future, so this would be an important feature for us if it could be supported.  Thanks! Query results returned in Azure Data Studio from PostgreSQL gateway:In CDF these time series have datapoints representing predictions far out into the future: 

403 ERRORThe request could not be satisfied.Request blocked. We can't connect to the server for this app or website at this time. There might be too much traffic or a configuration error. Try again later, or contact the app or website owner.If you provide content to customers through CloudFront, you can find steps to troubleshoot and help prevent this error by reviewing the CloudFront documentation.Generated by cloudfront (CloudFront)Request ID: 5cVGYuZaPs0Tnwt0Mm7an00fCMQ14bwLFy-SDA27JszqfsOdnRdbtg==

Cognite Function throwing Bad Gateway Error:Function ID :4525036003390684Here are the details:error: Bad Gateway | code: 502 | X-Request-ID: d84d076d-6e59-9362-b58e-931d5a63644f 

while we are trying to contextualize , the documents with Equipments’s list. The detections of false matches are more compared to Correct Matches for Non PNID’s documents.Its just the standard model we are using. Please find the below screenshots.Attached is the document , where every detect is a false match in it.Please could you help us in eradicating the false matches.

Cognite Function throwing Time out error.Function ID : 4525036003390684 This was working fine couple of hours back.

I have one model.pkl file which is a pre-trained Data Science model. I want to load that file inside handler of CDF function and do some prediction. My first question is where to keep that file in CDF. Second is how to load that file inside handler ?

I am getting error for black while deploying code to AIR. Please find attached screenshot for reference. So in turn code standards are getting failed after pushing the same changes in AIR.

Unable to deploy cognite function. “Upload” button function is not getting enabled.This was working till last week.