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Mohan NarayananActive

Academy Discussions

Max retries exceeded with URL and SSLError(SSLCertVerificationError

urllib3.exceptions.SSLError: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:992)i have already tried following thingspip install --upgrade certifi import ssl print(ssl.get_default_verify_paths())output :-DefaultVerifyPaths(cafile=None, capath=None, openssl_cafile_env='SSL_CERT_FILE', openssl_cafile='C:\\Program Files\\Common Files\\SSL/cert.pem', openssl_capath_env='SSL_CERT_DIR', openssl_capath='C:\\Program Files\\Common Files\\SSL/certs')Unistall and installation of certifi also done.Still same issue since two days. More details “poetry run cdf deploy --dry-run Traceback (most recent call last): File "C:\Users\MNarayanan\AppData\Local\pypoetry\Cache\virtualenvs\ice-cream-dataops-73SKZWOv-py3.11\Lib\site-packages\urllib3\connectionpool.py", line 464, in _make_request self._validate_conn(conn) File "C:\Users\MNarayanan\AppData\Local\pypoetry\Cache\virtualenvs\ice-cream-dataops-73SKZWOv-py3.11\Lib\site-packages\urllib3\c

Michael TievenowPractitioner

Academy Discussions

Diagram parsing - stuck in "pending"

I am following the CDF Fundamentals Hands-on path, and the parsing of my pid.pdf file always gets stuck in status “Pending” (see screenshot). What can I do about this?

Academy Discussions

Deploying function to CDF

Hello,I am going through the Hands-On exercise of Cognite Functions and trying to run the code as per Notebook 2 (Deploying a Cognite Function via the SDK). I was able to create the handler function but deploying the function to CDF is throwing a Runtime Error ‘Could not retrieve the file from files API’ as shown below:Can you please help me with this? As you can see below the handle function is created successfully so I’m not sure what’s going wrong.

Academy Discussions

Badge for Cognite Data Fusion Fundamentals Not Displayed

Hi, I have successfully completed the Cognite Data Fusion Fundamentals Course and received my certificate, but I noticed that the course batch is not reflected in my Cognite Hub profile.

Sonali Vishal PatilSeasoned

Product User Community

How can we give run time inputs to the python script in atlas ai

This is sample codehow can i give custom input to this python code # Note that the docstring is how the agent knows how to call the function. It follows the Google Python Style Guide:# https://google.github.io/styleguide/pyguide.html#383-functions-and-methods from cognite.client import CogniteClientfrom cognite.client.data_classes.data_modeling import NodeIdfrom cognite.client.data_classes.data_modeling.cdm.v1 import CogniteTimeSeries client = CogniteClient() # Retrieve latest data point by time series node iddef handle(time_series_id: NodeId): """ Retrieves the latest data point for a given time series. Args: time_series_id: The node id of the time series to retrieve the latest data point for. Returns: The latest data point for the given time series. """ datapoint = client.time_series.data.retrieve_latest(instance_id=time_series_id) # Only json serializable data is supported, so we convert the created_data to a dict with .dump(). return d

Ramesh G LActive

Community Introductions

ramesh-cognite-learning

hi this is cognite learning

Gerardo ChapaSeasoned

Developer Community

Neat Error when creating session

When running the following lines of code I get an error with Pydantic:from cognite.neat import NeatSessionneat = NeatSession(client)The error is as follows:---------------------------------------------------------------------------ImportError Traceback (most recent call last)Cell In[13], line 1----> 1 from cognite.neat import NeatSession 2 neat = NeatSession(client)File ~\AppData\Local\Programs\Python\Python311\Lib\site-packages\cognite\neat\__init__.py:4 1 from cognite.neat.core._utils.auth import get_cognite_client 3 from ._version import __version__----> 4 from .session import NeatSession 6 __all__ = ["NeatSession", "__version__", "get_cognite_client"]File ~\AppData\Local\Programs\Python\Python311\Lib\site-packages\cognite\neat\session\__init__.py:1----> 1 from ._base import NeatSession 3 __all__ = ["NeatSession"]File ~\AppData\Local\Programs\Python\Python311\Lib\site-packages\cognite\neat\session\_base.py:9 7 from

Industrial Canvas: Zoom WindowGathering Interest

I think the ability to zoom window inside of canvas and when opeing the document would be a great feature to have.

2

Ben PetreeSeasoned Practitioner

Hosted Extractor run triggerParked

It would very helpful to have a way of triggering a hosted extractor run. I have an extractor that we only want to run once a day when in production but we are trying to build it out and test it. It is very slow development when we have to wait a minimum of 5 minutes for the schedule to trigger. If hosted extractors get a trigger feature then I see nothing stopping it from being used in workflows.

14

Marius SørenesActive

Workload identity federation in CDFNew

Today resources deployed in CDF (Transformations, Cognite Functions etc), requires a client and secret. This is done through providing the secret either through cognite-toolkit or in the user interface.However it is not possible to use Workload identity federation to be able to reach secrets in an Azure tenant from CDF. This is hindering the possibility of using a federated credential to retrieve keys from a key vault for instance. Using a workload identity federation would be:More secure, as this does not require client / secrets Reduce workload on secret rotation

1

Mohan NarayananActive

Academy Discussions

Max retries exceeded with URL and SSLError(SSLCertVerificationError

urllib3.exceptions.SSLError: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:992)i have already tried following thingspip install --upgrade certifi import ssl print(ssl.get_default_verify_paths())output :-DefaultVerifyPaths(cafile=None, capath=None, openssl_cafile_env='SSL_CERT_FILE', openssl_cafile='C:\\Program Files\\Common Files\\SSL/cert.pem', openssl_capath_env='SSL_CERT_DIR', openssl_capath='C:\\Program Files\\Common Files\\SSL/certs')Unistall and installation of certifi also done.Still same issue since two days. More details “poetry run cdf deploy --dry-run Traceback (most recent call last): File "C:\Users\MNarayanan\AppData\Local\pypoetry\Cache\virtualenvs\ice-cream-dataops-73SKZWOv-py3.11\Lib\site-packages\urllib3\connectionpool.py", line 464, in _make_request self._validate_conn(conn) File "C:\Users\MNarayanan\AppData\Local\pypoetry\Cache\virtualenvs\ice-cream-dataops-73SKZWOv-py3.11\Lib\site-packages\urllib3\c

Michael TievenowPractitioner

Academy Discussions

Diagram parsing - stuck in "pending"

I am following the CDF Fundamentals Hands-on path, and the parsing of my pid.pdf file always gets stuck in status “Pending” (see screenshot). What can I do about this?

Academy Discussions

Deploying function to CDF

Hello,I am going through the Hands-On exercise of Cognite Functions and trying to run the code as per Notebook 2 (Deploying a Cognite Function via the SDK). I was able to create the handler function but deploying the function to CDF is throwing a Runtime Error ‘Could not retrieve the file from files API’ as shown below:Can you please help me with this? As you can see below the handle function is created successfully so I’m not sure what’s going wrong.

Academy Discussions

Badge for Cognite Data Fusion Fundamentals Not Displayed

Hi, I have successfully completed the Cognite Data Fusion Fundamentals Course and received my certificate, but I noticed that the course batch is not reflected in my Cognite Hub profile.

Sonali Vishal PatilSeasoned

Product User Community

How can we give run time inputs to the python script in atlas ai

This is sample codehow can i give custom input to this python code # Note that the docstring is how the agent knows how to call the function. It follows the Google Python Style Guide:# https://google.github.io/styleguide/pyguide.html#383-functions-and-methods from cognite.client import CogniteClientfrom cognite.client.data_classes.data_modeling import NodeIdfrom cognite.client.data_classes.data_modeling.cdm.v1 import CogniteTimeSeries client = CogniteClient() # Retrieve latest data point by time series node iddef handle(time_series_id: NodeId): """ Retrieves the latest data point for a given time series. Args: time_series_id: The node id of the time series to retrieve the latest data point for. Returns: The latest data point for the given time series. """ datapoint = client.time_series.data.retrieve_latest(instance_id=time_series_id) # Only json serializable data is supported, so we convert the created_data to a dict with .dump(). return d

AbhraPaulActive

Product User Community

Disaster Recovery for CDF

Hi Team, We are planning to create Business Continuity and Disaster Recovery document for CDF in our environment and using https://docs.cognite.com/cdf/trust/security/reliability_intro/ But, we are missing some information regarding the RTO and RPO for different scenarios,Full cluster restore CDF project restoreCould you please help us on this.ThanksAbhra

Haris vkCommitted

Open Industrial Data

Only one datamodel available in publicdatacdm project ?

app.cognite.service: Found 1 data modelIn the publicdatacdm space, only one data model is currently available, which is related to 3D scenes.However, our goal is to create a knowledge graph, which requires asset-related data models. Since the available model is focused on 3D scene configuration, it doesn't cover the necessary asset relationships.To move forward with building a knowledge graph, we need: Asset-centric data models. A clustering mechanism to visualize and structure the knowledge graph meaningfully. Is there any plan to include asset-related models in publicdatacdm, or any recommended approach to achieve this with the current setup?

Haris vkCommitted

Product User Community

How to use Graphql

Hi,In our CDF project, how can we use GraphQL and how we can connect to project in our react appCould you please guide me?Thanks!

Haris vkCommitted

Open Industrial Data

How to connect graphql

Hi Cognite Community,I'm building a React + TypeScript app using Apollo Client to connect to the CDF GraphQL API. It shows a Knowledge Graph of assets, time series, P&ID diagrams, and 3D models using vis-network.✅ I already did this successfully using the Python SDK.Now, I need help with:Setting up the GraphQL endpoint in ReactHandling authentication from the frontendAny simple examples or tips would be greatly appreciated. Thanks!

Markus PettersenSeasoned

Developer Community

Cognite Functions: the function files are stored in the dataset along with regular files

When creating a Cognite Function you specify the dataset it belongs to, as an example lets say D2 LCI, then the files of the function is stored as files in that dataset. However, as D2 LCI is a dataset for file storage for engineering documents these function files cause noise, not much but still. If you were to list out all files for the dataset these “internal” CDF files would simply show as regular files and would have to be filtered out.Now, as we (AkerBP) are moving away from the asset-centric and over to data modelling this might not be an issue given how data models and spaces are. But in the future when datasets are a thing of the past, how will function and the like work, where will those files be stored. Storing the file used for compute with the data they compute might be a simple implementation, but not ideal as it does cause some noise. Note: this does not only apply to Cognite Functions, but to all CDF features where “internal” files are stored alongside the regular data.

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