Commits on Aug 4, 2026

1. feat: NDJSON elements-file mode for partition (0.46.0) (#347) …

   ## What
   
   Adds an opt-in NDJSON response mode to `partition()` that returns
   elements as a **path to a file on disk** instead of a parsed list, and
   ships it as **0.46.0**.
   
   ```python
   from unstructured_client.general import PartitionAcceptEnum
   
   res = client.general.partition(
       request=req,
       accept_header_override=PartitionAcceptEnum.APPLICATION_X_NDJSON,
   )
   
   try:
       with open(res.elements_file, encoding="utf-8") as f:
           for line in f:
               element = json.loads(line)
               ...
   finally:
       os.unlink(res.elements_file)
   ```
   
   `PartitionResponse.elements_file` is set instead of
   `PartitionResponse.elements`. **The caller owns the file and must delete
   it.** Requesting `application/json` remains the default and is entirely
   unchanged.
   
   ## Why
   
   On the split-PDF path the SDK rebuilt the whole document in memory in
   order to return it: a list per chunk, a flattened list, a `json.dumps`
   blob in `create_response`, and then the SDK's re-parse of that blob —
   four copies live at once, with the serialization step dominating peak
   usage. For documents with large `metadata.image_base64` payloads this is
   the difference between a job completing and being OOM-killed.
   
   In the new mode the per-chunk temp files are concatenated on disk and
   never parsed, so peak memory is roughly one chunk rather than the whole
   document.
   
   ## How
   
   - `combine_chunk_files_to_ndjson` concatenates chunk files on disk. Each
   chunk is sniffed for its first non-whitespace character, so a server
   returning `application/json` still works; chunks that are already NDJSON
   are copied through without parsing.
   - `ndjson_mode` depends **only** on the `Accept` header, never on
   `split_pdf_cache_tmp_data`. Those are set by different parties, so
   gating on both let them disagree — the server would return NDJSON while
   the hook took the JSON path and `res.json()` raised on a body this
   client had itself requested.
   - Both caching modes are handled. A cached chunk contributes its
   existing temp-file path; an uncached one spills its body verbatim and
   then **releases** it, since every response is retained in
   `api_successful_responses` and leaving `_content` set would keep the
   document resident regardless.
   - The combined file is deliberately written outside the operation's
   `TemporaryDirectory`, which `_clear_operation` removes as soon as
   `after_success` returns.
   
   ## Temp-file ownership
   
   Everything this path creates is accounted for:
   
   - Spilled chunk bodies are written inside the operation's temp directory
   and unlinked once combined.
   - The combined file is deleted when a chunk failure means it is never
   handed back to the caller.
   - Recombination writes to a staging file that is atomically renamed into
   place only on success, so a malformed chunk cannot orphan a partial
   file.
   - No combined file is created at all when every chunk failed.
   
   ## Security
   
   The elements-file marker is an **httpx response extension**, not a
   response header. Extensions are populated by the transport, so a remote
   server cannot set the key. A header would be wire-controlled, and since
   callers are documented to open `elements_file` and then delete it, that
   would hand a hostile server an arbitrary local file to destroy. A real
   server body is always copied to a file this client creates.
   
   ## Regeneration
   
   `elements_file` is client-side only and can never come from the OpenAPI
   spec, so a regeneration would silently drop it. Both `general.py` and
   `models/operations/partition.py` are now in `.genignore`, and
   `test_regeneration_guards.py` fails if either entry is lost.
   
   ## Known limitation
   
   `elements_file` is set for every input, so callers need one code path.
   The **memory saving**, however, applies only to split PDFs.
   
   An input is sent whole when it is not a PDF, when
   `split_pdf_page=False`, or when it has two pages or fewer —
   `_before_request_unlocked` short-circuits on `split_size >= page_count`
   and `get_optimal_split_size` floors at `MIN_PAGES_PER_SPLIT = 2`. For
   those, the body is read fully into memory before being written to disk,
   so peak is roughly 2x the body rather than bounded.
   
   Bounding it means `stream=True` for NDJSON requests, which makes
   `raw_response.content` raise on the returned closed response — a
   user-visible change worth its own review. Tracked separately.
   
   Note also that the deployed API does not currently emit
   `application/x-ndjson`, so the unsplit path reaches the JSON-to-NDJSON
   conversion rather than the streamed-body branch. That is not merely a
   spec omission: the service does not negotiate the response format on
   `Accept` at all. It selects the format from the `output_format` form
   field, and consults `Accept` only to choose `multipart/mixed` and to
   reject conflicting media types on multi-file uploads. NDJSON was
   therefore never going to arrive via `Accept`.
   
   The service's `406 NOT_ACCEPTABLE` on an unrecognized `Accept` is gated
   on multi-file uploads. This SDK sends a single file per request —
   `PartitionParameters.files` is one `Files`, and the split-PDF hook sends
   one chunk per request — so that branch is unreachable from here and the
   unsplit path cannot raise `SDKError` because of it. Server-side NDJSON
   support is tracked separately.
   
   ## Testing
   
   - New `_test_unstructured_client/unit/test_ndjson_elements_file.py` —
   recombination across JSON-array / NDJSON / mixed chunk formats, order
   preservation, byte-exact payload round-trip, non-ASCII, temp-file
   lifecycle on success and failure, and regression guards for the
   header-spoofing and partial-output defects.
   - 235 unit tests and 64 contract tests pass; `pylint` 10.00/10; `mypy`
   clean.
   
   🤖 Generated with [Claude Code](https://claude.com/claude-code)
   
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   Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>

   

   badGarnet and claude authored Aug 4, 2026
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