dagster-slack 0.12.6 on Python PyPI

[dagster-dbt] Added a new synchronous RPC dbt resource (dbt_rpc_sync_resource), which allows you to programmatically send dbt commands to an RPC server, returning only when the command completes (as opposed to returning as soon as the command has been sent).
Specifying secrets in the k8s_job_executor now adds to the secrets specified in K8sRunLa``uncher , instead of overwriting them.
The local_file_manager no longer uses the current directory as the default base_dir , instead defaulting to LOCAL_ARTIFACT_STORAGE/storage/file_manager. If you wish, you can configure LOCAL_ARTIFACT_STORAGE in your dagster.yaml file.

Following the recent change to add strict Content-Security-Policy directives to Dagit, the CSP began to block the iframe used to render ipynb notebook files. This has been fixed, and these iframes should now render correctly.
Fixed an error where large files would fail to upload when using the s3_pickle_io_manager for intermediate storage.
Fixed an issue where Kubernetes environment variables defined in pipeline tags were not being applied properly to Kubernetes jobs.
Fixed tick preview in the Recent live tick timeline view for Sensors.
Added more descriptive error messages for invalid sensor evaluation functions.
dagit will now write to a temp directory in the current working directory when launched with the env var DAGSTER_HOME not set. This should resolve issues where the event log was not keeping up to date when observing runs progress live in dagit with no DAGSTER_HOME
Fixed an issue where retrying from a failed run sometimes failed if the pipeline was changed after the failure.
Fixed an issue with default config on to_job that would result in an error when using an enum config schema within a job.

Solid and resource versions will now be validated for consistency. Valid characters are A-Za-z0-9_.

The “Testing Solids and Pipelines” section of the tutorial now uses the new direct invocation functionality and tests a solid and pipeline from an earlier section of the tutorial.
Fixed the example in the API docs for EventMetadata.python_artifact.