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feat(mongo reader): field_extractors #18063

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Description

Add field_extractors to allow users to customize how data is extracted from MongoDB.

New Package?

Did I fill in the tool.llamahub section in the pyproject.toml and provide a detailed README.md for my new integration or package?

  • Yes
  • No

Version Bump?

Did I bump the version in the pyproject.toml file of the package I am updating? (Except for the llama-index-core package)

  • Yes
  • No

Type of Change

Please delete options that are not relevant.

  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to not work as expected)
  • This change requires a documentation update

How Has This Been Tested?

Your pull-request will likely not be merged unless it is covered by some form of impactful unit testing.

  • I added new unit tests to cover this change
  • I believe this change is already covered by existing unit tests

Suggested Checklist:

  • I have performed a self-review of my own code
  • I have commented my code, particularly in hard-to-understand areas
  • I have made corresponding changes to the documentation
  • I have added Google Colab support for the newly added notebooks.
  • My changes generate no new warnings
  • I have added tests that prove my fix is effective or that my feature works
  • New and existing unit tests pass locally with my changes
  • I ran make format; make lint to appease the lint gods

@dosubot dosubot bot added the size:S This PR changes 10-29 lines, ignoring generated files. label Mar 8, 2025
@@ -40,12 +41,6 @@ def __init__(

self.client = client

def _flatten(self, texts: List[Union[str, List[str]]]) -> List[str]:
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Why do we remove flatten?

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texts is already of type list[str], so calling _flatten(texts) simply returns texts itself without any modifications. Therefore, removing _flatten simplifies the code without changing its behavior.

for item in cursor:
try:
texts = [str(item[name]) for name in field_names]
texts = [
field_extractors.get(name, str)(item[name]) for name in field_names
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.get(name, str) does not work? What does this return when name isn't in the dict?

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@david20571015 david20571015 Mar 10, 2025

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It is dict.get, so it will return the str type (acting the same as the original) if name isn't in the dict.

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