Preserve Dataform workflow invocation config

[deepujain]

Title: Preserve Dataform workflow invocation config

Summary

DataformHook.create_workflow_invocation now normalizes dict-based workflow invocation payloads into a WorkflowInvocation proto before passing the request to the generated Dataform client.

This keeps the public operator input unchanged while making nested proto fields explicit. In particular, invocation_config.fully_refresh_incremental_tables_enabled is now covered by a regression test so full-refresh workflow invocation configs are not dropped at the hook boundary.

Changes

• providers/google/src/airflow/providers/google/cloud/hooks/dataform.py -- coerce dict workflow invocation payloads into the generated WorkflowInvocation proto before calling the Dataform client.
• providers/google/tests/unit/google/cloud/hooks/test_dataform.py -- add a regression that passes the issue's dict-shaped invocation_config and verifies fully_refresh_incremental_tables_enabled=True reaches the client request.

Evidence it works

• The regression follows the issue's reported operator input shape: a dict workflow invocation with nested invocation_config.
• The test asserts the generated client receives a proto request with the nested full-refresh flag preserved.

Test plan

• uvx --from uv==0.11.21 uv run --project providers/google ruff format --check providers/google/src/airflow/providers/google/cloud/hooks/dataform.py providers/google/tests/unit/google/cloud/hooks/test_dataform.py
• uvx --from uv==0.11.21 uv run --project providers/google ruff check providers/google/src/airflow/providers/google/cloud/hooks/dataform.py providers/google/tests/unit/google/cloud/hooks/test_dataform.py
• AIRFLOW_HOME=/private/tmp/airflow-test-53843 uvx --from uv==0.11.21 uv run --project providers/google pytest providers/google/tests/unit/google/cloud/hooks/test_dataform.py::TestDataformHook::test_create_workflow_invocation providers/google/tests/unit/google/cloud/hooks/test_dataform.py::TestDataformHook::test_create_workflow_invocation_preserves_invocation_config_from_dict -xvs --with-db-init
• CI passes

Was generative AI tooling used to co-author this PR?

• Yes (OpenAI Codex)

Generated-by: OpenAI Codex following the guidelines

Fixes #53843

[shahar1]

@deepujain please note that you (or your operator) should include AI attribution in the PR as we state in the AI guidelines.
This PR, as well as others, are blocked from being merged until this is corrected.
Please be warned that creating additional PRs except for the 10 you've already created (listed below) without addressing the above might cause in a permanent block from Apache organization on GitHub.

List of PRs:

• #69161
• #69159
• #69158
• #69157
• #69156
• #69154
• #69153
• #69152
• #69151
• #25461

AI attribution addressed