Add YAML file import support to task arguments dialog

[Mbeaulne]

Description

Added YAML file import support to the SubmitTaskArgumentsDialog component. The dialog now accepts .yaml and .yml files in addition to existing CSV and JSON formats. YAML files are parsed using the js-yaml library and converted to JSON format before processing through the existing argument mapping logic. Added error handling for invalid YAML syntax with appropriate user notifications.

Related Issue and Pull requests

Type of Change

• Bug fix
• New feature
• Improvement
• Cleanup/Refactor
• Breaking change
• Documentation update

Checklist

• I have tested this does not break current pipelines / runs functionality
• I have tested the changes on staging

Screenshots (if applicable)

Test Instructions

- experiment_key: "12345"
  predictions: "1234"
  config:
    dslName: experiment_a
    lr: 0.01
    epochs: 100
  tags:
    - production
    - v2
  metadata:
    owner: alice
    team: ml-platform
    priority: 1
  script: "import torch\nmodel = torch.load('checkpoint.pt')\nresults = model.evaluate(dataset='train')"

- experiment_key: "1"
  predictions: "4"
  config:
    dslName: experiment_b
    lr: 0.001
    epochs: 200
  tags:
    - staging
    - v2
  metadata:
    owner: bob
    team: ml-platform
    priority: 2
  script: "from sklearn.ensemble import RandomForestClassifier\nclf = RandomForestClassifier(n_estimators=100, max_depth=5)\nclf.fit(X_train, y_train)"

- experiment_key: "2"
  predictions: "6"
  config:
    dslName: experiment_c
    lr: 0.01
    epochs: 100
    scheduler:
      type: cosine
      warmup_steps: 500
  tags:
    - production
    - v3
  metadata:
    owner: alice
    team: recommendations
    priority: 1
  script: "params = {\"batch_size\": 32, \"dropout\": 0.1}\nrun_training(**params)"

- experiment_key: "9"
  predictions: "5"
  config:
    dslName: experiment_d
    lr: 0.02
    epochs: 50
    scheduler:
      type: linear
      warmup_steps: 100
  tags:
    - canary
  metadata:
    owner: carol
    team: recommendations
    priority: 3
  script: "data = [x for x in range(100) if x % 2 == 0]\nprint(f'filtered {len(data)} items')"

1. Navigate to the SubmitTaskArgumentsDialog component
2. Click the import file button
3. Verify that the file picker now accepts .yaml and .yml files
4. Test importing a valid YAML file with task arguments
5. Test importing an invalid YAML file to verify error handling displays the warning message
6. Confirm that existing CSV and JSON import functionality remains unchanged

Additional Comments

The implementation reuses the existing JSON argument mapping logic by converting YAML to JSON first, ensuring consistency with the current data processing pipeline.

[github-actions]

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---

[Mbeaulne]

Warning

This pull request is not mergeable via GitHub because a downstack PR is open. Once all requirements are satisfied, merge this PR as a stack on Graphite.
Learn more

• Add batch_id support to pipeline runs #1929
• Add batch pipeline run submission with 100 run limit #1928
• Add feature flags for bulk argument upload and parameter sweep #1927
• Add parameter sweep dialog to OasisSubmitter #1903
• Refactor file extension extraction and consolidate test helpers #1896
• Add drag-and-drop file import and multi-format template export to OasisSubmitter #1895
• Add YAML file import support to task arguments dialog #1894 👈 (View in Graphite)
• Add JSON file import support to task arguments dialog #1892
• Add CSV import/export functionality to task arguments dialog #1890
• Add bulk submission support to OasisSubmitter with comma-separated input values #1889
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