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Refactored dbt utility for modularity
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"""Utility for running and logging output from dbt commands | ||
Enable this utility by installing parsons with a dbt extra: | ||
`pip install parsons[dbt-redshift]` | ||
or `pip install parsons[dbt-postgres]` | ||
or `pip install parsons[dbt-snowflake]` | ||
or `pip install parsons[dbt-bigquery]` | ||
To run dbt commands, you will need to have a dbt project directory | ||
somewhere on the local filesystem. | ||
The dbt command will inherit environment variables from the python | ||
process shell, so if your dbt profiles.yml file uses environment | ||
variables, ensure those are set in python or the parent shell before | ||
running this dbt utility. | ||
Logging is handled separately from the dbt run itself. The | ||
dbtRunner.run method returns a dbtCommandResult object which can be | ||
passed to a child class of dbtLogger for logging to stdout, slack, | ||
etc. | ||
Parsons provides a few example dbtLogger child classes, but for | ||
best results, design your own! | ||
Example usage: | ||
``` | ||
from parsons.utilities.dbt import ( | ||
run_dbt_commands, | ||
dbtLoggerSlack, | ||
dbtLoggerPython | ||
) | ||
run_dbt_commands( | ||
commands=['run', 'test'], | ||
dbt_project_directory='/home/ubuntu/code/dbt_project/', | ||
loggers=[ | ||
dbtLoggerPython, | ||
dbtLoggerSlack(slack_webhook=os.environ['SLACK_WEBHOOK']) | ||
] | ||
) | ||
``` | ||
""" | ||
|
||
from parsons.utilities.dbt.dbt import run_dbt_commands | ||
from parsons.utilities.dbt.logging import ( | ||
dbtLoggerMarkdown, | ||
dbtLoggerSlack, | ||
dbtLoggerStdout, | ||
dbtLoggerPython, | ||
) | ||
|
||
__all__ = [ | ||
"run_dbt_commands", | ||
"dbtLoggerMarkdown", | ||
"dbtLoggerSlack", | ||
"dbtLoggerStdout", | ||
"dbtLoggerPython", | ||
] |
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