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#ask-ai
Title
# ask-ai
j

Jaiganesh R S

03/06/2024, 5:29 PM
@Scout I Installed dagster_graphql, dagster latest version even im geeting this error
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from dagster_graphql import DagsterGraphQLClient
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---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
Cell In[2], line 1
----> 1 from dagster_graphql import DagsterGraphQLClient

File ~/anaconda3/envs/everstage/lib/python3.10/site-packages/dagster_graphql/__init__.py:1
----> 1 from dagster._core.libraries import DagsterLibraryRegistry
      3 from .client import (
      4     DagsterGraphQLClient as DagsterGraphQLClient,
      5     DagsterGraphQLClientError as DagsterGraphQLClientError,
   (...)
     10     ShutdownRepositoryLocationStatus as ShutdownRepositoryLocationStatus,
     11 )
     12 from .version import __version__ as __version__

ModuleNotFoundError: No module named 'dagster._core'
s

Scout

03/06/2024, 5:29 PM
The error message you're encountering indicates that Python cannot find the
dagster._core
module, which is expected to be part of the
dagster
package. This could be due to several reasons, such as an incomplete or corrupted installation of the
dagster
package, or a version mismatch where the
dagster_graphql
package expects a different structure of the
dagster
package than what is installed. Here are some steps you can take to troubleshoot this issue: 1. Ensure that Dagster is installed: Verify that you have
dagster
installed in your environment. You can do this by running
pip list
and checking for
dagster
in the list of installed packages. 2. Check for multiple installations: Sometimes, having multiple versions of the same package installed, or having the package installed both globally and within a virtual environment, can cause conflicts. Ensure that you're working within a clean Python environment and that
dagster
is installed only once. 3. Reinstall Dagster: If the installation is corrupted, you may need to reinstall
dagster
. You can do this by running
pip uninstall dagster
followed by
pip install dagster
. 4. Check for version compatibility: Ensure that the versions of
dagster
and
dagster_graphql
are compatible with each other. You can check the release notes or the documentation for
dagster_graphql
to find out which versions are expected to work together. 5. Use a virtual environment: If you're not already doing so, consider using a virtual environment to manage your Python packages. This can help avoid conflicts with system-wide packages and makes it easier to manage dependencies. 6. Check the import path: The error message suggests that the import path
dagster._core
might not be correct. It's possible that the structure of the
dagster
package has changed in recent versions, or that there's an issue with the
dagster_graphql
package's expectations. You can check the source code of the
dagster
package to see if the module structure matches what
dagster_graphql
is trying to import. If you've tried these steps and are still encountering issues, you may want to look for similar issues reported by other users in the Dagster GitHub issues or ask for help in the Dagster community channels. It's also possible that there's a bug or a regression in the packages themselves, in which case reporting the issue to the maintainers could be helpful.
j

Jaiganesh R S

03/06/2024, 5:32 PM
@Scout is there a way to trigger a pipeline dagster from rest end point
s

Scout

03/06/2024, 5:32 PM
Yes, you can trigger a Dagster pipeline (job) from a REST endpoint by using Dagster's GraphQL API. Dagster provides a GraphQL endpoint that can be used to interact with your Dagster instance, including triggering pipeline runs. To trigger a pipeline from a REST endpoint, you would typically set up a web server that exposes a REST API. When this API is called, it would then send a GraphQL request to the Dagster instance to start a pipeline run. Here's a high-level overview of the steps you would take: 1. Set up a web server: Use a web server framework like Flask or FastAPI to create a REST endpoint. This server would handle incoming HTTP requests to trigger pipeline runs. 2. Send a GraphQL request: When the REST endpoint is called, have it send a GraphQL mutation to Dagster's GraphQL endpoint to start the pipeline run. The mutation would look something like this:
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graphql
mutation {
  launchPipelineExecution(
    executionParams: {
      selector: {
        pipelineName: "your_pipeline_name"
      },
      runConfigData: {
        # Your pipeline run configuration goes here
      }
    }
  ) {
    run {
      runId
    }
  }
}
3. Handle the response: Process the response from Dagster's GraphQL API and return an appropriate response from your REST endpoint. Here's an example of how you might set up a simple Flask app to trigger a Dagster pipeline:
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python
from flask import Flask, request, jsonify
import requests

app = Flask(__name__)

DAGSTER_GRAPHQL_ENDPOINT = '<http://localhost:3000/graphql>'

@app.route('/trigger_pipeline', methods=['POST'])
def trigger_pipeline():
    pipeline_name = request.json.get('pipeline_name')
    run_config = request.json.get('run_config')

    query = '''
    mutation($pipelineName: String!, $runConfig: RunConfigData) {
      launchPipelineExecution(
        executionParams: {
          selector: {
            pipelineName: $pipelineName
          },
          runConfigData: $runConfig
        }
      ) {
        run {
          runId
        }
      }
    }
    '''

    variables = {
        'pipelineName': pipeline_name,
        'runConfig': run_config
    }

    response = <http://requests.post|requests.post>(
        DAGSTER_GRAPHQL_ENDPOINT,
        json={'query': query, 'variables': variables}
    )

    return jsonify(response.json())

if __name__ == '__main__':
    app.run(debug=True)
In this example, you would send a POST request to
/trigger_pipeline
with a JSON body containing the
pipeline_name
and
run_config
. The Flask app would then send the GraphQL mutation to Dagster's GraphQL endpoint to start the pipeline run. Please note that you should secure your REST endpoint and Dagster's GraphQL endpoint appropriately to prevent unauthorized access. This might involve setting up authentication and usin
g HTTPS for communication.
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