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# Beam YAML API

The Beam YAML API provides a simple declarative syntax for describing pipelines
that does not require coding experience or learning how to use an
SDK&mdash;any text editor will do.
Some installation may be required to actually *execute* a pipeline, but
we envision various services (such as Dataflow) to accept yaml pipelines
directly obviating the need for even that in the future.
We also anticipate the ability to generate code directly from these
higher-level yaml descriptions, should one want to graduate to a full
Beam SDK (and possibly the other direction as well as far as possible).

Though we intend this syntax to be easily authored (and read) directly by
humans, this may also prove a useful intermediate representation for
tools to use as well, either as output (e.g. a pipeline authoring GUI)
or consumption (e.g. a lineage analysis tool) and expect it to be more
easily manipulated and semantically meaningful than the Beam protos
themselves (which concern themselves more with execution).

## More details

User-facing documentation for Beam YAML has moved to the main Beam site at
https://beam.apache.org/documentation/sdks/yaml/

For information about contributing to Beam YAML see
https://docs.google.com/document/d/19zswPXxxBxlAUmswYPUtSc-IVAu1qWvpjo1ZSDMRbu0

## Integration Tests

The integration_tests.py dynamically creates test methods based on the yaml
files provided in the `tests` and `extended_tests` directories and runs the
pipeline. It also contains context managers for setting up test environments for
both precommit tests (e.g. `tests` folder) and postcommit tests
(e.g. `extended_tests` folder).

To run the precommit tests:

```bash
pytest -v integration_tests.py

or

pytest -v integration_tests.py::<yaml_file_name_without_extension>Test
```

To run the postcommit tests:

```bash
pytest -v integration_tests.py --test_files_dir="extended_tests"
```

