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Update azuresearch.py (#25577)
This will allow complextype metadata to be returned. the current implementation throws error when dealing with nested metadata Thank you for contributing to LangChain! - [x] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>
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@ -1735,7 +1735,11 @@ def _reorder_results_with_maximal_marginal_relevance(
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def _result_to_document(result: Dict) -> Document:
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return Document(
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page_content=result.pop(FIELDS_CONTENT),
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metadata=json.loads(result[FIELDS_METADATA])
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metadata=(
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result[FIELDS_METADATA]
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if isinstance(result[FIELDS_METADATA], dict)
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else json.loads(result[FIELDS_METADATA])
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)
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if FIELDS_METADATA in result
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else {
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key: value for key, value in result.items() if key != FIELDS_CONTENT_VECTOR
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