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commented
1 year ago Codecov Report
Patch coverage: 74.07% and project coverage change: +0.14 :tada:
Comparison is base (
5eefd91) 78.32% compared to head (401ed6a) 78.47%.
Additional details and impacted files
```diff @@ Coverage Diff @@ ## main #33 +/- ## ========================================== + Coverage 78.32% 78.47% +0.14% ========================================== Files 5 5 Lines 443 460 +17 Branches 52 57 +5 ========================================== + Hits 347 361 +14 - Misses 76 78 +2 - Partials 20 21 +1 ``` | [Impacted Files](https://codecov.io/gh/astronomer/astro-provider-databricks/pull/33?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=astronomer) | Coverage Δ | | |---|---|---| | [src/astro\_databricks/operators/notebook.py](https://codecov.io/gh/astronomer/astro-provider-databricks/pull/33?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=astronomer#diff-c3JjL2FzdHJvX2RhdGFicmlja3Mvb3BlcmF0b3JzL25vdGVib29rLnB5) | `85.34% <41.66%> (-4.28%)` | :arrow_down: | | [src/astro\_databricks/operators/workflow.py](https://codecov.io/gh/astronomer/astro-provider-databricks/pull/33?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=astronomer#diff-c3JjL2FzdHJvX2RhdGFicmlja3Mvb3BlcmF0b3JzL3dvcmtmbG93LnB5) | `86.56% <100.00%> (+3.10%)` | :arrow_up: | Help us with your feedback. Take ten seconds to tell us [how you rate us](https://about.codecov.io/nps?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=astronomer). Have a feature suggestion? [Share it here.](https://app.codecov.io/gh/feedback/?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=astronomer):umbrella: View full report in Codecov by Sentry.
:loudspeaker: Do you have feedback about the report comment? Let us know in this issue.
Allow the argument
notebook_paramsof theDatabricksNotebookOperatorto be templated using Jinja. Rendered the attribute before sending it to the Databricks API.Improve logging and sharing the Databricks API job Xcom across jobs.
Limitation: templating may not work as expected in Airflow 2.3, but it works on Airflow 2.2.5, Airflow 2.4 and Airflow 2.5.
Example of how a Databricks workflow generated using the DAG
example_databricks_workflowlooks like in their interface (the parameter "ds", passed to the notebook, and "ts", passed to the task group, are resolved to the current datetime timestamp):Closes: #32