mirror of https://github.com/databricks/cli.git
82e35530b0
## Changes To accommodate: * Add the server URL to the set of output replacements * Include a call to the permissions API to the dummy server * Run the main script in a subshell to isolate working directory changes |
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| .. | ||
| bin | ||
| build | ||
| bundle | ||
| help | ||
| README.md | ||
| acceptance_test.go | ||
| script.cleanup | ||
| script.prepare | ||
| server_test.go | ||
README.md
Acceptance tests are blackbox tests that are run against compiled binary.
Currently these tests are run against "fake" HTTP server pretending to be Databricks API. However, they will be extended to run against real environment as regular integration tests.
To author a test,
- Add a new directory under
acceptance. Any level of nesting is supported. - Add
databricks.ymlthere. - Add
scriptwith commands to run, e.g.$CLI bundle validate. The test case is recognized by presence ofscript.
The test runner will run script and capture output and compare it with output.txt file in the same directory.
In order to write output.txt for the first time or overwrite it with the current output pass -update flag to go test.
The scripts are run with bash -e so any errors will be propagated. They are captured in output.txt by appending Exit code: N line at the end.
For more complex tests one can also use:
errcodehelper: if the command fails with non-zero code, it appendsExit code: Nto the output but returns success to caller (bash), allowing continuation of script.tracehelper: prints the arguments before executing the command.- custom output files: redirect output to custom file (it must start with
out), e.g.$CLI bundle validate > out.txt 2> out.error.txt.