Fix bug where ingestion failed for input document containing list of nested objects

[yizheliu-amazon]

Description

Fix bug where ingestion failed for input document containing list of nested objects

Related Issues

Resolves #1024

Check List

• New functionality includes testing.
• New functionality has been documented.
• API changes companion pull request created.
• Commits are signed per the DCO using --signoff.
• Public documentation issue/PR created.

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[heemin32]

Can we have IT test for this?

[yizheliu-amazon]

Can we have IT test for this?

Thanks for the review. I tried adding IT test for it, but found a new issue in the case of doc containing list of nested objects with multiple dots .: issue #1042 . The ingest pipeline example in issue #1042 is actually from config file of existing IT. That being said, given pipeline config of existing IT in the code, new IT test for this change will fail. Such issue is not related to this bug fix PR, but related to case where doc containing list of nested objects with multiple dots . is being ingested. Existing ITs can pass because such case is not covered.

To work around it, we can either

1. fix current bug, then fix issue [BUG] Fail to generate embedding for ingest document with nested field defined in field map #1042; in the PR for issue [BUG] Fail to generate embedding for ingest document with nested field defined in field map #1042, I can add IT for the case of ingestion of doc with list of nested objects.
2. create a new pipeline configuration like below for IT which is working for this PR, but this may seem unnecessary because such new pipeline is very similar to existing one. If IT for this PR can pass given existing pipeline, it can also pass for below pipeline.

{
  "description": "text embedding pipeline for hybrid",
  "processors": [
    {
      "text_embedding": {
        "model_id": "%s",
        "field_map": {
          "title": "title_knn",
          "favor_list": "favor_list_knn",
          "favorites": {
            "game": "game_knn",
            "movie": "movie_knn"
          },
          "nested_passages": "level_1_embedding"
        }
      }
    }
  ]
}

I may prefer option 1 since option 2 seems unnecessary to me.

[heemin32]

@yizheliu-amazon Thanks for the detail explanation. I will leave it to you to decided for the next step among the two option. Thanks!