Topics started by Anders Albert

6 Topics

A
Practitioner
Anders AlbertPractitioner
asked in Cognite Pygen [Early Adopter]

Installation Issues: ValueError: Requested 'typing-extensions>=4.10.0; python_version < "3.13"', but typing-extensions==4.7.1 is already installed

When installing pygen in a CDF notebook you may be met with ValueError: Requested 'typing-extensions&gt;=4.10.0; python_version &lt; "3.13"', but typing-extensions==4.7.1 is already installedThis is currently a known bug, which we are working on solving. For now, the workaround is to manually uninstall `typing-extensions` using micropip. The code to do so is documented in the installation of pygen along with other known issues and solutions.

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A
Practitioner
12 days ago
A
Practitioner
Anders AlbertPractitioner
posted in Cognite Pygen [Early Adopter]

Neet to upgrade to 0.99.20

The recently released version `7.37.0` of the Python-SDK which pygen depends on broke pygen. This is fixed in `0.99.20`. For versions before 0.99.20 you will be met with `ImportError: cannot import name 'ListablePropertyType' ...` when you try to generate an SDK.

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A
Practitioner
17 days ago
A
Practitioner
Anders AlbertPractitioner
posted in Cognite Pygen [Early Adopter]

ANNOUNCEMENT: Beta availability of Cognite Pygen

We are pleased to announce that cognite-pygen is available in beta. What does Pygen enable? It enables you to write python-code using the concepts in your data model. The code you can write enables you to query CDF and work with the data in your data model. How? Pygen generates a Python-SDK tailored for your data model. Want to know more? https://cognite-pygen.readthedocs-hosted.com/en/latest/what_is_pygen.htmlDisclaimer! In the beta period, we ask you to be careful when using the pygen generated SDK on a live production project.We would love to get feedback on how to improve the usability and robustness of the pygen. Toward General Availability, we will focus on robustifying the generation process.

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A
Practitioner
1 month ago
A
Practitioner
Anders AlbertPractitioner
posted in CDF Toolkit (CDF-TK) and Project Templates

Cognite-Toolkit Beta6 is Out

Main ChangesThis is a rework of the terminal output of `cdf-tk deploy` and `cdf-tk clean` to provide better information about what happens. This change takes effect with and without also passing the flag `--dry-run`.In addition, both these commands now support `--drop-data` which is independent of `--drop`, so that you can for example, drop all datapoints from a timeseries without deleting the timeseries itself.Examples of running the deploy commandRunning the commandcdf-tk deploy --dry-run --env devWill now output two tables:And:Adding verbose will give more details about exactly which resources will be changedcdf-tk --verbose deploy --dry-run --env dev​Part of the new output​​​​​​Example of running cleanRunning the commandcdf-tk clean --env devOutputs the same two tables with the summary of the opertion 

0
A
Practitioner
3 months ago
A
Practitioner
Anders AlbertPractitioner

Cognite Data Fusion: Idempotent/Upsert CogniteClientParked

I would like to have an option for an idempotent option for the Cognite Client. For example, I can add the same asset multiple times without rising an exception.Use Case: I have a script (running on a schedule in Cognite Functon) which dynamically create an asset hierarchy. Current behavior: If I try to add a list of assets in which one asset is existing in CDF, then no new assets are appended to the hierarchy and an exception is raised.Desired behavior: An option for suppressing the raised exception and add the new assets to the asset hierarchy.``client.assets.create(new_assets, skip_existing=True)``

2
Anita Hæhre
Seasoned Practitioner
1 year ago
A
Practitioner
Anders AlbertPractitioner
asked in Developer and User Community

Support for 100 requests in Cognite-SDK

Currently when fetching datapoints from multiple timeseries, the Python Cognite-SDK splits up the requests into one request per timeseries, while the underlying CDF API supports up to 100 timeseries per requests. This slows down fetching multiple timeseries, which is a problem when you display multiple timeseries (or aggregated of timeseries) in a frontend application. 

4
A
Practitioner
2 years ago

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