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1044 Topics
DanielJohnLevings
Practitioner
DanielJohnLevingsPractitioner
asked in Product User Community
'Edge' and 'Node' naming

Hei! In the current schema setup, I might make a query such as this: The terms ‘edges’ and ‘node’ is a bit confusing to me. I’m not sure what they really mean in this context (I understand it from a graph db point of view, but its a bit confusing from other points. I might expect something like this instead { listAsset() { items { externalId } pageinfo { cursor, ... } } } Curious to hear your thoughts on this :)

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K
Practitioner
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Tom ThorsenActive
asked in Product User Community
Template: Numeric time series data points typed as DatapointString in GraphQL query result

Hi, I am trying to use templates to model domain specific connections between assets and time series in CDF, and I have come across an issue that I would like some feedback on. If I have the following schema type: type StringOrNumber @template { Asset: Asset NumericTS: TimeSeries} and do the following query: query StringOrNumber { stringOrNumberQuery { items { NumericTS { __typename isString datapoints(limit: 1) { __typename timestamp value } } } }} then the datapoint output __typename has the value “DatapointString” even though the timeseries is not a string timeseries: { "data": { "stringOrNumberQuery": { "items": [ { "NumericTS": { "__typename": "TimeSeries", "isString": false, "datapoints": [ { "__typename": "DatapointString", "timestamp": 1634534671570, "value": 14.3 } ] } } ] } }} The values appear correctly in the query output, so I first noticed the problem when trying to use Strawberry Shake to auto-generate C# types from my query. It uses the __typename value to determine whi

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Eric Stein-Beldring
Seasoned Practitioner
Eric Stein-Beldring
posted in Product User Community
A new Release of Charts is now available

Release v0.19 of Charts Hello everyone, The team and I are happy to announce that a new version of Charts (charts.cogniteapp.com) has been released! In place of a live webinar, I’ll be posting videos soon to provide both a walkthrough of these new features and some concrete examples of use cases they help to solve. In the meantime, enjoy reading the release notes and, as always, please leave your feedback or questions in the comments below. Release Details Filters are now available in the search panel We’ve released some important and frequently asked for filtering capabilities in the + Add time series search panel. Everyone who uses Charts is always interested in and looking for time series. Equipment tags (assets) that do not have any time series directly related to them are now automatically filtered out of the results list, providing you with more relevant and useful results. You can always show the “empty” equipment tags, if you’d like via the new filters dropdown. Empty equipment

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Eric Stein-Beldring
Seasoned Practitioner
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Seasoned
henning.kvinneslandSeasoned
asked in Product User Community
Global error-handling

What is best practice for global error-handling in the JS-SDK?

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Seasoned
Mithila Jayalath
Seasoned Practitioner
Mithila JayalathSeasoned Practitioner
posted in Product User Community
Issues when installing Cognite Python SDK in Windows

Issue: When we install Cognite python SDK if you are observing an error warning as below, WARNING: Discarding https://files.pythonhosted.org/packages/25/50/0466d5d83e1859c5ca38351ee932d64cc5635f9d4dad522879e58f4b0018/Fiona-1.8.2.tar.gz#sha256=4c6419b7ac29136708029f6a44b4ccd458735a4d241016c7b1bab41685c08d8f (from https://pypi.org/simple/fiona/). Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output. Downloading Fiona-1.8.1.tar.gz (1.1 MB) |████████████████████████████████| 1.1 MB 3.2 MB/s ERROR: Command errored out with exit status 1: command: 'c:\users\mithila\appdata\local\programs\python\python39\python.exe' -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\Users\mithila\AppData\Local\Temp\pip-install-3ru45mbx\fiona_e5daa4b655dd467bb03096ab64aa19ae\setup.py'"'"'; file='"'"'C:\Users\mithila\AppData\Local\Temp\pip-install-3ru45mbx\fiona_e5daa4b655dd467bb03096ab64aa19ae\setup.py'"'"';f = getattr(tokenize, '"'"'open'"'

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Mithila Jayalath
Seasoned Practitioner
Ben Brandt
MVP
Ben BrandtMVP
asked in Product User Community
Similar to 365d-ago for historical, how do we specify relative time for future?

For the Retrieve data points API and a few other API’s that allow date range input, we are able to specify a string where, “The format is N[timeunit]-ago where timeunit is w,d,h,m,s.” This is able to specify a time in the past. I am now trying to specify end as “-365d-ago” to set a date 365 days in the future, but this is giving an error. Is there another syntax available for specifying future dates? N[timeunit]-afterNow? 365d-afterNow?

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Ben Brandt
MVP
R
Seasoned
RobersoSNSeasoned
asked in Product User Community
Managed Transformation Layers

Hey, At Statnett we’re thinking about our progress towards a world of more flexible data models. Although your introductions have been great, we’re still confused about the particulars surrounding the transition between types of models. In particular, we consider the lineage of and managability of transformations of data. In the language of your data-modelling: we want the arrows between Source, Domain and Solution models to be versioned and configured as code. Is this a planned feature? If so, do you have any sketches of how this will look? Transformations might be what we call “Interfaces” in the Domain and Solution models. I.e. the physical transformer from (e.g.) Siemens is implemented by a functional 300kv to 132kv transformer at the Substation “Foo”. Currently, we model this as two assets (phys. trafo and func.trafo) with a Relationship with label “Implements”. These relationships are more or less hand-crafted. But, we would like to have these mappings, and links, as code. Prefer

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BugGambit
Practitioner
Ben Brandt
MVP
Ben BrandtMVP
asked in Product User Community
Nesting of Synthetic Time Series - Combining More than 100 Time Series

Are Synthetic Time Series able to reference other Synthetic Time Series in their formulas specified? This is the problem I am trying to solve: Synthetic Time Series is limited to referencing 100 time series Sometimes a unit/facility/system/functional location/site may have more than 100 direct child assets I need to calculate a “Synthetic Time Series” that is the daily average of a time series found on all child assets My thought is that, for 300 assets, I would have: STS A: Sum for assets 1-100 STS B: Sum for assets 101-200 STS C: Sum for assets 201-300 STS D: Sum of STS A, B, and C divided by 300 Is there a better way to accomplish something like this in CDF?

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Ben Brandt
MVP
R
Seasoned
RobersoSNSeasoned
posted in Product User Community
Flexible time-series models

Hey! In accordance with how you’re thinking about flexible-datamodels. Has Cognite done any exploration around flexible time-series modelling? Akin to what you’re doing with charts, a fleet of sensors might be viewed as having the same transformational needs as an Asset does. At Statett, we have “views” of data (typically some linear combination of time-series). We persist these with synthetic time-series as an intermediary, then upload to a new TimeSeries. Unfortunately, the data is not immune to updates or backfills. So these computed TimeSeries either have to have a pretty severe lag, or we have to re-compute at an alarming rate, wasting compute. These computed time-series are further used in computations that we would like persisted. Do you envision expanding Charts to cover this functionality? I.e. having the configuration as code, with Stream logic for re-computes etc.? Or, do you have no plans for Managed Data Transformations? Thanks for your response :)

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R
Seasoned
BugGambit
Practitioner
BugGambitPractitioner
published in Product User Community
I am struggling with logging in through the CLI

I tried logging in with these commands: platypus login --cluster greenfield --tenant "schema-test" which didn’t work as I thought the tenant was a CDF tenant and not an Azure AD tenant. Then I tried: platypus login --cluster greenfield --tenant "c08c2afd-4823-482b-9113-ed2746fe6026" Which gave me a “Login successful” webpage, but the CLI said: “failed to authenticate against CDF project: platypus”. Then Soumesh pointed out that platypus is the default project, and I needed to type: platypus login --cluster greenfield --tenant "c08c2afd-4823-482b-9113-ed2746fe6026" schema-test Which worked I think having default values made it harder to use as the CLI didn’t guide me on missing project name / CDF cluster etc, and maybe a better name than tenant as it can be interpreted as CDF tenant/project.

311
David Liu
Seasoned Practitioner
David Liu
Seasoned Practitioner
David LiuSeasoned Practitioner
posted in Product User Community
New Feature: CLI for Data Modeling (via Templates)

We are happy to announce a new CLI tool for managing your Template Data Models. This should help you in developing an application, and we hope to also make this tool useful for data science workflows as well. Here’s the link to the public documentation for the CLI https://www.npmjs.com/package/@cognite/cdf-cli Installation instructions To install, make sure you have Node (at least v14) installed and then run npm install --global @cognite/cdf-cli or yarn global add @cognite/cdf-cli Key features: This CLI is meant to be an additional tooling that allows you to do everything the UI can. 1. Logging in/out through the CLI for users and machines (Users for local workflow, Machines for CI/CD) Logging in as a user - Loom demo, docs Logging in as a machine - Loom demo, docs 2. Managing Templates via CLI - docs Creating, deleting and listing templates 3. Development Workflow via CLI - docs Initializing workspace Code generation Please comment and add any request or comments around features below

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David Liu
Seasoned Practitioner
thomafred
Seasoned
thomafredSeasoned
posted in Product User Community
CDF Client connection string

Hi there, I was wondering how one would go about representing a CDF Client credential as a connection string. The main idea is to have a single string representing the credentials needed to connect to CDF. The connection string itself should be unwrapped by whatever client it is passed to (Python SDK, JS SDK, etc), and should of course not be sent as part of the request to the API. For tenants using API-keys, something like this may make sense: cdf://CLIENT_NAME:API_KEY@api.cognitedata.com/PROJECT_NAME However, using tokens instead of api-keys is a bit trickier: cdf://TOKEN_USERNAME:TOKEN_SECRET@api.cognitedata.com/PROJECT_NAME?token_url=TOKEN_URL&token_scopes=TOKEN_SCOPES Naturally, it is possible to but anything in the URL parameters, but generalizing the username, password and path-properties would be great. Some challenges that come to mind: How to differentiate between different authentication methods (i.e. api-keys and tokens Is it possible the keep a consistent scheme regardless

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Practitioner
O
Practitioner
omarakabbalPractitioner
posted in Product User Community
Changes to our documentation portal (docs.cognite.com)

Hi Community, We are excited to announce that we have made some changes to our documentation portal! We have migrated to a new content management system. This will allow for improved search and internationalization. This is the first step to revamping the documentation portal to allow for quick access to relevant content as well as a introducing a dedicated developer portal with guides and an overview of all available libraries. As part of this, you might see some small changes to where information is located. If you have any feedback or feature requests, please let us know. BR Omar

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Practitioner
Ben Brandt
MVP
Ben BrandtMVP
asked in Product User Community
Show Average KPI For Time Series From Today to End That is Read Often

Hello, Thank you for all the great docs and tutorials you’ve put together on CDF. I would like to get an expert opinion on the best way to accomplish a specific use case I have. We have a daily time series that we calculate for predicted availability of an asset, for a time range that is usually between 5 and 40 years (usually between 1,826 and 14,610 data points per time series). We have a view were an engineer will want to see this time series graphed, but also will want to see a single KPI value that represents the average of the time series from today to end of the range. For all of our assets, this KPI could be ready several times a day as people view this KPI. When we were storing this data in Azure SQL, to speed it up, we pre-calculated and stored this KPI average and stored a new time series (throwing away some of the time series points and linear interpolating). That way, reading a single data point representing the average of from today to the end of the range and display it

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Ben Brandt
MVP
Eric Stein-Beldring
Seasoned Practitioner
Eric Stein-Beldring
posted in Product User Community
New release on Monday → we will no longer support the old version of the no-code calculation builder

Hello Charts Early Adopters, On December 7th, 2021, we released a new and improved version of the no-code calculation builder (see image below). You can read more in this release post or watch the webinar recording. Ever since this release, all new calculations have been created using this new implementation of the no-code calculation builder. The “new” no-code calculation builder. We will release new features on Monday, February 28th and, as a result, we will no longer be supporting the old version of the no-code calculation builder. Therefore, if you have a calculation in any chart that was created using the “old” calculation builder (see image below), you must recreate it using the new version to avoid losing your work. The “old” no-code calculation builder; calculations using this old calculation builder will no longer be supported from Monday, February 28. If you have not used Charts before December 7th, 2021, or, you have no need for the calculations you created using the old no-

280
Eric Stein-Beldring
Seasoned Practitioner
David Liu
Seasoned Practitioner
David LiuSeasoned Practitioner
posted in Product User Community
What is Templates, Schema Service and ITG?

During the last 2 years, Cognite has taken a very iterative approach to enable flexible data modeling. The key highlight towards this effort can be outlined through 3 key initiatives - Templates, Schema Service and ITG. In this article we will hope to outline the key difference between the 3. Templates Templates is a data modeling capability built on the concepts of GraphQL. Through building a GraphQL data model, you can define the data model that is intended for your solution. Additionally, you can load data into the data model via referencing existing CDF resources or loading in values directly for primitives like String, Boolean, and Float. Lastly, you get the ability to query the data via a GraphQL endpoint, supporting pagination and complex logical filters (with ANDs and ORs). Here is a list of features doable via Templates Modeling data model Primitives (String, Boolean etc.) Relationships between them (1-1, 1-N, N-M). References to Asset, TS, Sequence, File Versioning Querying B

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David Liu
Seasoned Practitioner
Eric Stein-Beldring
Seasoned Practitioner
Eric Stein-Beldring
posted in Product User Community
Thanks for joining our New Features & Feedback Webinar — recording & slides

Thanks to those of you who joined us live for yesterday’s New Features & Feedback webinar series. You will find the session recording, below, and you can view the slides that we presented by clicking here. As always, if you have any comments, questions, or feedback on these new features or anything else Charts-related, please do post about it here on Cognite Hub.

562
Eric Stein-Beldring
Seasoned Practitioner
Anita Hæhre
Seasoned Practitioner
Anita HæhreHead of Academy and Community
posted in Product User Community
Cognite Data Fusion Release: February 2022

Hi! Don’t miss the Cognite Data Fusion February release note just published in the Product Updates section here on Hub! We also have a Product Release Spotlight Webinar lined up for you where our product experts will go through the main features in the release. Sign up and find previous Product Release Spotlight Webinar recordings here. Let us know if you have comments or questions, small or big, we’d love to hear your thoughts

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Anita Hæhre
Seasoned Practitioner
Anita Hæhre
Seasoned Practitioner
Anita HæhreHead of Academy and Community
posted in Product User Community
New Demo Hub live!

Hi Community! We’ve got a new Demo Hub for you with product stories and demos, you might want to check it out! Let us know your thoughts

130
Anita Hæhre
Seasoned Practitioner
Eric Stein-Beldring
Seasoned Practitioner
Eric Stein-Beldring
posted in Product User Community
Reminder: New Features & Feedback Webinar TODAY 15:00-16:00 CET (see post for MSFT Teams link to join)

This is a friendly reminder that we will be hosting our New Features & Feedback webinar today from 15:00-16:00 CET → You can join the Microsoft Teams call by clicking here ← If you have any trouble joining, please leave a comment in this thread or send an email to eric.stein@cognite.com We’ll be giving a live demonstration of the newest features that were released this week. We’ll also have an open discussion about use cases that you – our early adopters – want to solve or have already solved with Charts. This session will also be recorded and the video will be shared here in the Early Adopter Group afterwards. Looking forward to seeing you soon on the call! Eric & the Charts team

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Eric Stein-Beldring
Seasoned Practitioner
H
Seasoned
henning.kvinneslandSeasoned
asked in Product User Community
Fallback for missing values when calculating synthetic timeseries

Hi! If one or more of the source-timeseries are missing data-points they will also be missing in the synthetic timeseries output.. We would like an option to default to zero for missing values so that the API will use the available values to calculate a partial result. Example: TS1: [1,2,3] TS2: [3, undefined, 4] Output now if calculating a sum of TS1 + TS2: [4, undefined, 7] What we would like: [4, 2, 7]

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Eric Stein-Beldring
Seasoned Practitioner
Eric Stein-Beldring
posted in Product User Community
Release v0.16 of Charts; Join Wednesday's webinar (Jan. 26, 15:00-16:00 CET) for details

The team and I are happy to announce that a new version of Charts (charts.cogniteapp.com) has now been released! You can read the specific details about this release below. Please try these new features for yourself and share your feedback with the community here in the Charts EA group. Remember to join our webinar on Wednesday, January 26th from 15:00-16:00 CET, where we'll be walking through the details of this release, discussing real use cases you’re facing, and giving you a sneak peak of some upcoming functionalities. For details and joining info, please visit this post. Release Details Search for time series related to a specific equipment tag Once you’ve found the equipment tag you’re looking for, click on the equipment tag name to perform a sub-search for time series related to that specific equipment. Better usability for y-axis zooming and scrolling Adjust the y-axis by simply clicking + dragging or by scrolling while hovering your cursor on the y-axis. No more “Adjust y-axis

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Eric Stein-Beldring
Seasoned Practitioner
Eric Stein-Beldring
Seasoned Practitioner
Eric Stein-Beldring
posted in Product User Community
Webinar: New Features & Feedback (January 26,2022 from 15:00-16:00)

Hello Charts Early Adopter Community and happy 2022! We’re going to kick off the new year with our second New Features & Feedback invited to a webinar where we in the product team will be sharing the latest and greatest features in Charts. When: Wednesday January 26th from 15:00-16:00 CET Where: Virtually (Microsoft Teams) → Click here to join the call; we’ll be re-posting this link on January 26th before the webinar. The features we’ll highlight in this session will include… An in-depth walkthrough of the latest features and functionalities, including... New list component design Better usability for y-axis zooming and scrolling New InDSL functions for creating lines and synthetic signals + more A sneak peak of the features we're working on next Like last time, I’ll be giving an in-depth walkthrough of these features and how to use them. We'll also have an open discussion between you, our early adopters, and the members of the Charts team about ideas for future improvements – we’ll sh

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L
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Practitioner
Shehan KarunaratnePrincipal Support Engineer
posted in Product User Community
How do I use OIDC credentials when I create transformations using python SDK

You need to provide “source_oidc_credentials” and “destination_oidc_credentials” run your transformation via API/SDK Below is the code sample how to use OIDC credentials in your transformations transformations = [ Transformation( external_id="<external_id>", name="<name>", query="<Query>", destination=TransformationDestination.raw("<Database>", "<Table>"), conflict_mode="<upsert>", source_oidc_credentials=OidcCredentials( client_id="<CLIENT_ID>", client_secret="<CLIENT_SECRET>", scopes=f"<scopes>", token_uri=<"TOKEN_URL">, cdf_project_name=<"COGNITE_PROJECT"> ), destination_oidc_credentials=OidcCredentials( client_id="<CLIENT_ID>", client_secret="<CLIENT_SECRET>", scopes=f"<scopes>", token_uri=<"TOKEN_URL">, cdf_project_name=<"COGNITE_PROJECT"> ), ), ] Scopes and token_uri: The Scopes and token_uri can be taken from thefollowing location in Fusion: Navigate to Transformations (Integrate Transform data) Click on “New Transformations” Click on “Schedule and Run” Click on “Use OIDC” in “

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Practitioner
S
Practitioner
Shehan KarunaratnePrincipal Support Engineer
posted in Product User Community
How do I add a label to all leaf nodes in my asset hierarchy?

Hi! We received this question from a partner and figured it could be useful for more of you, so sharing it here :) Step 1 Create a label via the API https://api.cognitedata.com/api/v1/projects/{project}/labels Document Reference https://docs.cognite.com/api/v1/#operation/createLabelDefinitions Step 2 Run the following transformation query with the created label select id, externalId, array("<created_label>") as labels from _cdf.assets where id not in (select distinct parentId from _cdf.assets where parentId is not null) E.g Create label as “leaf_node” select id, externalId, array("leaf_node") as labels from _cdf.assets where id not in (select distinct parentId from _cdf.assets where parentId is not null)

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Practitioner

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