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#ask-ai
Title
# ask-ai
j

Joram Sbrisny

02/20/2024, 7:32 PM
@Scout How i connect with Dagster Cloud GraphQL via python
s

Scout

02/20/2024, 7:32 PM
To connect with Dagster Cloud using the Dagster GraphQL API via Python, you can use the
DagsterGraphQLClient
provided by Dagster. Here's how you can configure your client against the Dagster Cloud API: 1. First, you need to have a User Token, which can be generated from the Organization Settings page in Dagster Cloud. 2. Then, you can instantiate the
DagsterGraphQLClient
with your deployment-specific URL and the User Token as follows:
Copy code
python from dagster_graphql import DagsterGraphQLClient  url = "yourorg.dagster.cloud/prod"  # Your deployment-scoped url user_token = "your_token_here"  # a User Token generated from the Organization Settings page in Dagster Cloud.  client = DagsterGraphQLClient(url, headers={"Dagster-Cloud-Api-Token": user_token})
Replace
yourorg.dagster.cloud/prod
with your actual Dagster Cloud deployment URL and
your_token_here
with your actual User Token. This client can then be used to interact with the Dagster Cloud GraphQL API, allowing you to submit job executions, get run statuses, reload repository locations, and shut down repository locations. Please note that the
DagsterGraphQLClient
currently provides a limited set of methods to interact with the GraphQL API, and not all GraphQL methods are available in Python. The available methods include
submit_job_execution
,
get_run_status
,
reload_repository_location
, and
shutdown_repository_location
. Make sure to handle any potential exceptions that may arise when making requests to the GraphQL API, such as
DagsterGraphQLClientError
. For more detailed information and examples, you can refer to the documentation on the Dagster website under the section for the GraphQL Python Client.
To connect with Dagster Cloud using the Dagster GraphQL Python client, you can follow the example provided in the documentation. Here's a step-by-step guide based on the information from the documentation: 1. Install the
dagster-graphql
Python package if you haven't already. This package provides the
DagsterGraphQLClient
class that you will use to interact with the Dagster Cloud GraphQL API. 2. Import the
DagsterGraphQLClient
class from the
dagster_graphql
module. 3. Configure your client with the URL of your Dagster Cloud instance and your user token. The user token can be generated from the Organization Settings page in Dagster Cloud. Here's an example of how to instantiate the client:
Copy code
python from dagster_graphql import DagsterGraphQLClient  url = "yourorg.dagster.cloud/prod"  # Replace with your deployment-specific URL user_token = "your_token_here"  # Replace with your user token  client = DagsterGraphQLClient(url, headers={"Dagster-Cloud-Api-Token": user_token})
Make sure to replace
"yourorg.dagster.cloud/prod"
with the URL specific to your Dagster Cloud deployment and
"your_token_here"
with your actual user token. This client can now be used to interact with the Dagster Cloud GraphQL API, allowing you to submit job executions, get run statuses, reload repository locations, and shut down repository locations. Remember that the
DagsterGraphQLClient
currently provides a limited set of methods to interact with the GraphQL API, as mentioned in the documentation. If you need to perform operations that are not covered by these methods, you may need to construct and send GraphQL queries manually.
j

Joram Sbrisny

02/20/2024, 7:49 PM
@Scout What ist the Problem when i get when a try to terminate via Graphql UnauthorizedError
s

Scout

02/20/2024, 7:49 PM
If you receive an
UnauthorizedError
when trying to terminate a run via the GraphQL API, it typically indicates that the request did not have the correct authentication credentials, or the provided credentials do not have the necessary permissions to perform the operation. Here are some common reasons for an
UnauthorizedError
and steps you can take to troubleshoot the issue: 1. Invalid or Missing API Token: Ensure that you are providing a valid API token in the request headers. The token should be associated with a user or service account that has the necessary permissions to terminate runs. 2. Incorrect Headers: Double-check that the API token is included in the request headers correctly. The header name and the format should match what the server expects. For example, Dagster Cloud expects the header to be
Authorization: Bearer <token>
or
Dagster-Cloud-Api-Token: <token>
. 3. Expired Token: Tokens can expire. Make sure that the token you are using is still valid and has not expired. 4. Insufficient Permissions: The user or service account associated with the API token may not have the required permissions to terminate runs. You may need to adjust the permissions or use a different token with higher privileges. 5. Incorrect Endpoint: Verify that you are sending the request to the correct endpoint URL for your Dagster Cloud instance. 6. Network Issues: There could be network-related issues that are preventing the request from being authenticated properly. Ensure that there are no proxies, VPNs, or firewalls interfering with the request. If you have checked all of the above and are still encountering issues, you may want to review the specific error message provided with the
UnauthorizedError
for additional clues. If the problem persists, consider reaching out to Dagster support or consulting the documentation for further assistance.
j

Joram Sbrisny

02/20/2024, 8:30 PM
@Scout was macht ScaffoldDagsterInPullRequestResult!
s

Scout

02/20/2024, 8:30 PM
The
ScaffoldDagsterInPullRequestResult!
does not appear to be a standard part of the Dagster framework or its GraphQL API based on the documentation available up to my knowledge cutoff date in early 2023. It seems like you might be referring to a specific GraphQL mutation or query result type that is not part of the public Dagster documentation. In general, in the context of GraphQL, a result type with an exclamation mark (
!
) at the end indicates a non-nullable field or type. This means that whenever this query or mutation is called, it is guaranteed to return a value of that type (or an error if it cannot return a valid result). If
ScaffoldDagsterInPullRequestResult
is a custom type or part of a private API, it would be defined in the GraphQL schema specific to that implementation. You would need to refer to the schema or the documentation provided by the developers who created this type to understand what it represents and how it's used. If you are working with a specific codebase or tool that extends Dagster and includes this type, you should look for documentation or code comments within that project for more information. If this is part of a private or third-party extension to Dagster, you may need to contact the maintainers of that extension for support.