Skip to content

Proposal: optional native parser backend with pure-Python fallback #693

Description

@lowmiaq-gmail

python-dotenv optional native parser backend

Problem

python-dotenv parsing is on the configuration path of real consumers such as
pydantic-settings. We measured complete consumer calls, not parser-only
throughput, on the same macOS arm64 / CPython 3.14 environment.

Proposal

  • Keep the current pure-Python parser and pip install python-dotenv default.
  • Add an optional native extra whose backend-only dependency is
    fast-dotenv-rs-backend.
  • Keep the Rust package separate from the dotenv namespace and console
    script; the adapter only converts lossless parser records into the existing
    Binding and Original objects.
  • If the extra/backend is absent, the existing pure-Python path remains in
    use. If an explicitly selected backend violates its versioned contract or
    raises, surface that failure rather than silently masking it.

Runtime evidence

  • Upstream base: a00cb2eed0704cd6d2071b2004c37e95ccc86ee5.
  • Backend implementation: fast-dotenv-rs commits
    7cbdca0 and 95ea5c1 in the Master integration clone; shared Rust core
    and backend-only wheel are ready for review.
  • Upstream adapter patch: python-dotenv commits
    0c1d17b9878ae2b390616fbd8b64f605f9fd9d67 and
    f5856435e229485040e0e11530a191b0f51007df.
  • Exact Binding differential: 1,088 records, including 500 generated valid
    and 500 generated malformed records; native OFF, native ON, and backend
    direct paths each retained 0 mismatches.
  • Upstream suite: 264 passed, 1 skipped in both OFF and ON runs, using a
    portable fixture for the host-specific printenv --version test.
  • Native call proof: fast_dotenv_rs_backend.parse_bindings was observed on
    the same parse_stream path; backend and official package coexist without
    a top-level dotenv collision.
  • Real consumer benchmark: dotenv_values, load_dotenv,
    pydantic-settings service/worker settings, repeated loads, and cold
    startup across small/medium/large fixtures. Semantic hashes matched;
    30 p50 metrics classified as 21 win / 8 neutral / 1 loss under a 2%
    neutral band. The only loss was small cold CLI startup (-1.6675 ms);
    representative warm savings were 0.1266 ms for small dotenv_values,
    0.7477 ms for medium, and 4.9392 ms for large.

Maintainer questions

  1. Is an optional backend extra acceptable, with backend wheels maintained
    outside the default python-dotenv release path?
  2. Should activation use the native extra, another name, or a different
    boundary?
  3. Which platform, PyPy/free-threaded, supply-chain, and rollback guarantees
    are required before merge?

This is a concrete proposal with a merge-ready local patch. The backend is not
yet published to PyPI, and the current wheel evidence is macOS arm64 only;
those are intentionally open release gates, not hidden claims.

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions