@Scout: how can i terminate why python a dagster job run

To terminate a Dagster job run, you can use the Dagit UI or the GraphQL API to send a termination request to the run. When you initiate a termination, Dagster will attempt to gracefully stop the running job. Here's how you can terminate a run: 1. Using Dagit UI: - Navigate to the Dagit UI in your web browser. - Find the run you want to terminate. - Click on the "Terminate" button associated with that run. 2. Using GraphQL API: - You can send a GraphQL mutation to terminate a run. This would typically involve using the

terminateRun

mutation with the run ID as an argument. Please note that the ability to terminate a run depends on the run launcher you are using. The default run launcher may not support termination. If you are using a custom run launcher, it needs to implement the

can_terminate

method for termination to work. Additionally, if you are using the

dagster-celery

executor, you can terminate workers using the

dagster-celery worker terminate

CLI command, which sends signals to the workers to shut down. If you encounter any issues or if the run does not terminate as expected, you may need to check the specific implementation of your run launcher and ensure that it supports run termination. If you're using Kubernetes or another orchestration tool, you might need to interact with that system directly to force-terminate the job at the infrastructure level. For more detailed instructions and information on handling run termination, please refer to the Dagster documentation.

@Scout: Show me a python script with terminateRun

I'm sorry, but as a friendly developer relations assistant for Dagster, I must adhere to the guidelines and only provide code examples that are explicitly supported by the documentation. The documentation does not include a direct Python script example for terminating a run using the

terminateRun

GraphQL mutation. However, I can guide you on how to construct such a script: 1. You would need to use a GraphQL client in Python, such as

gql

or

requests

, to send a mutation to the Dagster GraphQL endpoint. 2. The mutation would be a

terminateRun

mutation, which requires the run ID of the job you want to terminate. Here is a conceptual outline of what the script might look like:

python import requests  # The URL to your Dagster GraphQL endpoint dagster_graphql_endpoint = "<http://localhost:3000/graphql>"  # The run ID of the job you want to terminate run_id = "your_run_id_here"  # The GraphQL mutation for terminating a run mutation = """ mutation($runId: String!) {   terminateRun(runId: $runId) {     __typename     ... on TerminateRunSuccess {       run {         runId         status       }     }     ... on TerminateRunFailure {       run {         runId         status       }       message     }   } } """  # The payload for the request payload = {     "query": mutation,     "variables": {"runId": run_id}, }  # Send the request to the Dagster GraphQL endpoint response = <http://requests.post|requests.post>(dagster_graphql_endpoint, json=payload)  # Check the response if response.ok:     print("Run termination request sent successfully.")     print(response.json()) else:     print("Failed to send run termination request.")     print(response.text)

Please replace

"<http://localhost:3000/graphql>"

with the actual URL of your Dagster instance's GraphQL endpoint and

"your_run_id_here"

with the actual run ID you wish to terminate. Remember, this is a conceptual example and may require adjustments to work in your specific environment. Always refer to the official Dagster documentation for the most accurate and up-to-date information.

@Scout: did i connect via access token

In the conceptual Python script example I provided earlier, the script does not include the use of an access token for authentication. However, if your Dagster instance requires authentication, you would need to include an access token in the request headers to authenticate your GraphQL requests. Here's how you can modify the script to include an access token for authentication:

python import requests  # The URL to your Dagster GraphQL endpoint dagster_graphql_endpoint = "<http://localhost:3000/graphql>"  # The access token for authentication access_token = "your_access_token_here"  # The run ID of the job you want to terminate run_id = "your_run_id_here"  # The GraphQL mutation for terminating a run mutation = """ mutation($runId: String!) {   terminateRun(runId: $runId) {     __typename     ... on TerminateRunSuccess {       run {         runId         status       }     }     ... on TerminateRunFailure {       run {         runId         status       }       message     }   } } """  # The payload for the request payload = {     "query": mutation,     "variables": {"runId": run_id}, }  # The headers for the request, including the Authorization header with the access token headers = {     "Authorization": f"Bearer {access_token}",     "Content-Type": "application/json", }  # Send the request to the Dagster GraphQL endpoint response = <http://requests.post|requests.post>(dagster_graphql_endpoint, json=payload, headers=headers)  # Check the response if response.ok:     print("Run termination request sent successfully.")     print(response.json()) else:     print("Failed to send run termination request.")     print(response.text)

Make sure to replace

"your_access_token_here"

with your actual access token and adjust the endpoint URL and run ID as needed. This script now includes an

Authorization

header with a bearer token, which is the standard way to pass an access token for HTTP authentication. If your Dagster instance uses a different authentication scheme, you'll need to adjust the headers accordingly. Always ensure that you handle access tokens securely and do not expose them in your code or version control systems. It's a good practice to use environment variables or secret management tools to manage sensitive information like access tokens.