A JSON file may appear to contain two values for the same field inside one object. A parser’s successful return does not necessarily mean both values remain available after decoding.
The Python JSON documentation explains that its default decoder accepts repeated names and keeps the last value. This is behaviour to understand in that implementation, not a reason to design ambiguous interchange files.
Try the synthetic text {"status":"pending", "status":"complete"}. After ordinary decoding in Python, the resulting object exposes the later status. A reviewer looking only at the decoded table may never see the earlier occurrence.
For an ingestion check, examine the raw input and use an appropriate validation approach that detects repeated keys before information is discarded. Python’s documented object_pairs_hook can expose the ordered pairs for custom handling. Define whether the pipeline rejects, records or otherwise resolves such input.
Do not confuse repeated object keys with repeated values in an array. Two array entries can intentionally contain the same text, and their positions remain separate.
Add a small fixture with one repeated key to your import checks and confirm the expected response. Keep the original file available under the project’s retention rules. The important question is whether the accepted data still represents what arrived, rather than whether the parser produced any object at all.
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