Add observability for label-selectors

[alanwguo]

Why are these changes needed?

label-based selection is being added as a feature. tracker here: #51564

As part of the feature, we should allow users to observe labels of nodes and selection rules of tasks and actors.
This PR adds these fields to:

• state api CLI output
• state api API responses
• Ray Dashboard UI

Nodes:

Tasks:

Actors:

Related issue number

Checks

• I've signed off every commit(by using the -s flag, i.e., git commit -s) in this PR.
• I've run scripts/format.sh to lint the changes in this PR.
• I've included any doc changes needed for https://docs.ray.io/en/master/.
  • I've added any new APIs to the API Reference. For example, if I added a
    method in Tune, I've added it in doc/source/tune/api/ under the
    corresponding .rst file.
• I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/
• Testing Strategy
  • Unit tests
  • Release tests
  • This PR is not tested :(

[alanwguo]

@nikitavemuri @MengjinYan, this is working except for the export task events. Any ideas what's missing?

@MengjinYan , ptal if this interferes with your new export work.

[alanwguo]

Any idea why clang-format is not working? I installed it on my mac with brew install clang-format

[MengjinYan]

@nikitavemuri @MengjinYan, this is working except for the export task events. Any ideas what's missing?

I tried with a local setup and I can see the label_selectors in one of the export_task_events:

{
  "event_data": {
    "attempt_number": 0,
    "job_id": "AQAAAA==",
    "state_updates": {
      "node_id": "s2vXu4O2zoSYp7lyenw3SpAshKdrhi0ymstVuA==",
      "state_ts_ns": {
        "1": "1748648100752828000",
        "2": "1748648100752871000",
        "5": "1748648100753810000"
      },
      "worker_id": "MppU4ViQhW4Xqu+E8YMc997YHHVp5cQIKI8trg=="
    },
    "task_id": "yO9FzNARJXH///////////////8BAAAA",
    "task_info": {
      "func_or_class_name": "test_label_success",
      "label_selector": {
        "test-lable-key": "test-lable-value"  // <======== The label selector
      },
      "labels": {},
      "language": "PYTHON",
      "parent_task_id": "//////////////////////////8BAAAA",
      "required_resources": {
        "CPU": 1
      },
      "runtime_env_info": {
        "runtime_env_config": {
          "eager_install": true,
          "log_files": [],
          "setup_timeout_seconds": 600
        },
        "serialized_runtime_env": "{}",
        "uris": {
          "py_modules_uris": [],
          "working_dir_uri": ""
        }
      },
      "task_id": "yO9FzNARJXH///////////////8BAAAA",
      "type": "NORMAL_TASK"
    }
  },
  "event_id": "5b1416805fa99b47c02819115647b9d2b80c",
  "source_type": "EXPORT_TASK",
  "timestamp": 1748648101
}

Is it something you tested or you were looking at something else for the export task event?

@MengjinYan , ptal if this interferes with your new export work.

No. This won't interferes with my work now.

[MengjinYan]

Any idea why clang-format is not working? I installed it on my mac with brew install clang-format

I never tried brew install clang-format for the lint installation

Normally I follow https://docs.ray.io/en/latest/ray-contribute/development.html#installing-additional-dependencies-for-development to install the additional dependencies for lint:

pip install -c python/requirements_compiled.txt -r python/requirements/lint-requirements.txt

Probably you can try that to see if it will be helpful.

[alanwguo]

Any idea why clang-format is not working? I installed it on my mac with brew install clang-format

I never tried brew install clang-format for the lint installation

Normally I follow https://docs.ray.io/en/latest/ray-contribute/development.html#installing-additional-dependencies-for-development to install the additional dependencies for lint:

pip install -c python/requirements_compiled.txt -r python/requirements/lint-requirements.txt

Probably you can try that to see if it will be helpful.

yes, this fixed it. Thanks!

[ryanaoleary]

LGTM, thanks for adding this!

[MengjinYan]

Sorry for the late review. It looks good. Thanks!