fix(models): make deprecation warnings visible under default filters

andreatgretel (PR #594): the YAML-default warning in
`get_default_provider_name` and the registry-default warning emitted
from inside DataDesigner helpers were attributing to data_designer
library frames, not user code. Python's default filter chain includes
`ignore::DeprecationWarning`, so library-attributed entries are
silenced — meaning a normal `DataDesigner()` call with a YAML
`default:` set showed nothing, and `resolve_model_provider_registry`
warnings were similarly invisible. Two related changes:

1. `warn_at_caller`: extend the default skip-list from `("pydantic",)`
   to `("pydantic", "pydantic_core", "data_designer")` so the walk
   escapes both pydantic's validator-dispatch frames and data_designer
   helper frames before attributing. Also tighten the prefix predicate
   to exact-or-dotted-prefix matching (`name == p or
   name.startswith(p + ".")`) so e.g. `pydantic_helpers` is not
   falsely matched as part of `pydantic` (johnnygreco nit). Allow
   callers to pass a custom `skip_prefixes` for flexibility. Drop the
   "skip frame 0+1 unconditionally" guard now that prefix matching
   covers it.

2. `get_default_provider_name`: switch from
   `warnings.warn(stacklevel=2)` to `warn_at_caller`. The previous
   stacklevel pointed into `default_model_settings.py`, which is a
   library file → silenced under default filters. Verified the fix
   empirically with `python -W default`: warning is now attributed to
   the user's call site and rendered.

johnnygreco (PR #594): add the missing
`test_explicit_default_none_does_not_emit_deprecation_warning`
regression for the `self.default is not None` predicate landed in
the prior round.

Tests:
- New `test_warning_helpers.py` pins prefix-matching precision
  (rejects `pydantic_helpers` / `data_designer_other`), default
  skip-list contents, attribution past skip-prefix frames, and
  per-call-site dedup behavior.
- `test_get_default_provider_name_warning_attributes_to_user_frame`
  pins andreatgretel's repro for the YAML-default site.
- `test_explicit_default_warning_attributes_to_user_frame` pins the
  multi-frame case: construction goes through
  `resolve_model_provider_registry`, so the walk has to escape both
  pydantic and data_designer before landing on the test file.
- `test_explicit_default_none_does_not_emit_deprecation_warning`
  pins johnnygreco's predicate-tightening regression.

3,124 tests pass (540 config + 1,923 engine + 653 interface; +10 net
from this round).

Refs #589

Made-with: Cursor
This commit is contained in:
Nabin Mulepati 2026-05-05 10:03:08 -06:00
parent 481643f856
commit 247fa3000d
5 changed files with 229 additions and 27 deletions

View file

@ -5,7 +5,6 @@ from __future__ import annotations
import logging
import os
import warnings
from functools import lru_cache
from pathlib import Path
from typing import Any, Literal
@ -25,6 +24,7 @@ from data_designer.config.utils.constants import (
PREDEFINED_PROVIDERS_MODEL_MAP,
)
from data_designer.config.utils.io_helpers import load_config_file, save_config_file
from data_designer.config.utils.warning_helpers import warn_at_caller
logger = logging.getLogger(__name__)
@ -104,12 +104,18 @@ def get_default_provider_name() -> str | None:
"""
default = _get_default_providers_file_content(MODEL_PROVIDERS_FILE_PATH).get("default")
if default is not None:
warnings.warn(
# ``warn_at_caller`` (rather than ``warnings.warn(stacklevel=2)``) so the
# warning attributes to the user's call site rather than this library
# module. The only real call path is ``DataDesigner.__init__``, which
# is itself a ``data_designer`` frame; under default Python filters,
# library-attributed ``DeprecationWarning`` entries are silenced
# (``ignore::DeprecationWarning``), so library attribution = invisible
# warning. See PR #594 review.
warn_at_caller(
f"The 'default:' key in {MODEL_PROVIDERS_FILE_PATH} is deprecated and will "
"be removed in a future release. Remove it and specify provider= explicitly "
"on each ModelConfig instead. See issue #589.",
DeprecationWarning,
stacklevel=2,
)
return default

View file

@ -3,22 +3,30 @@
"""Helpers for emitting warnings that attribute correctly to user code.
Pydantic v2 dispatches ``@model_validator`` / ``@field_validator`` callbacks
through several internal frames. ``warnings.warn(stacklevel=N)`` from inside a
validator therefore tends to land inside pydantic's machinery rather than at
the user's ``ModelConfig(...)`` / ``ModelProviderRegistry(...)`` call site.
Library-internal warnings (typically emitted from a pydantic ``@model_validator``
or from a helper function) need to be attributed to the *user's* call site, not
to the library frame that happened to fire them. Two reasons:
That breaks two things:
1. Attribution a source location pointing at library internals isn't
actionable.
2. Visibility under default filters Python's default ``DeprecationWarning``
filter is::
1. Attribution the displayed source location is unhelpful.
2. Deduplication Python's default once-per-location dedup key is
default::DeprecationWarning:__main__
ignore::DeprecationWarning
Library-attributed ``DeprecationWarning`` entries fall under the second
filter and are silenced. Attributing to user code is what gets the warning
actually shown.
3. Deduplication Python's once-per-location dedup key is
``(category, module, lineno)``. When every call resolves to the same
pydantic-internal line, every warning after the first is silently
suppressed regardless of which user file triggered it.
library-internal line, every warning after the first is silently suppressed
regardless of which user file triggered it.
``warn_at_caller`` walks the stack to the first frame outside pydantic (and
outside this helper / the calling validator) and uses
``warnings.warn_explicit`` to attribute the warning there.
``warn_at_caller`` walks the stack past frames whose module belongs to a known
internal package (pydantic, data_designer) and uses ``warnings.warn_explicit``
to attribute the warning at the first user frame.
"""
from __future__ import annotations
@ -26,19 +34,50 @@ from __future__ import annotations
import sys
import warnings
DEFAULT_INTERNAL_PREFIXES: tuple[str, ...] = ("pydantic", "pydantic_core", "data_designer")
"""Modules whose frames are skipped when walking up to the user's call site.
def warn_at_caller(message: str, category: type[Warning]) -> None:
"""Emit ``message`` attributed to the first non-pydantic frame above the caller.
Matching is exact-or-dotted-prefix (see ``_module_in_prefixes``), so
``pydantic_helpers`` is *not* treated as part of ``pydantic``."""
Intended to be invoked from inside a pydantic validator. The walk skips this
helper's own frame and the calling validator's frame, then walks past any
pydantic-internal frames until it finds the user's call site.
def _module_in_prefixes(module_name: str, prefixes: tuple[str, ...]) -> bool:
"""Return True if ``module_name`` belongs to one of the prefix-rooted packages.
Uses exact-equality plus dotted-prefix matching so that, e.g.,
``pydantic_helpers`` is NOT treated as part of the ``pydantic`` package
while ``pydantic.fields`` is. Same for ``data_designer`` vs. a hypothetical
``data_designer_other``.
"""
return any(module_name == prefix or module_name.startswith(prefix + ".") for prefix in prefixes)
def warn_at_caller(
message: str,
category: type[Warning],
*,
skip_prefixes: tuple[str, ...] = DEFAULT_INTERNAL_PREFIXES,
) -> None:
"""Emit ``message`` attributed to the first frame outside ``skip_prefixes``.
Intended for warnings whose root cause is the user's call site but whose
emission point is library code (a pydantic validator, an internal helper,
etc.). The walk starts above this helper's own frame and skips every frame
whose module belongs to a package in ``skip_prefixes`` until it reaches a
user frame.
The default skip set covers:
* ``pydantic`` / ``pydantic_core`` so warnings emitted from
``@model_validator`` callbacks escape pydantic's dispatch frames.
* ``data_designer`` so warnings emitted from a registry / model-config
built deep inside a DataDesigner helper still attribute to the outermost
user call. Without this, attribution lands on a library file and Python's
default ``DeprecationWarning`` filter silences the warning entirely.
The user frame's ``__warningregistry__`` is passed to
``warnings.warn_explicit`` so Python's built-in once-per-location dedup keys
on the *user's* (filename, lineno) rather than an internal pydantic frame.
That matches how ``warnings.warn`` would dedup if ``stacklevel`` could
correctly point at the user.
on the *user's* (filename, lineno) rather than an internal frame.
We deliberately do *not* pass ``module_globals`` it's only used for
``linecache`` source-line display, and for scripts run with ``python -c``
@ -47,11 +86,10 @@ def warn_at_caller(message: str, category: type[Warning]) -> None:
module")``. Skipping ``module_globals`` keeps the warning path robust at
the cost of an empty source line in the formatted output.
"""
# Skip frame 0 (warn_at_caller) and frame 1 (the validator that called us).
frame = sys._getframe(2) if hasattr(sys, "_getframe") else None
frame = sys._getframe(1) if hasattr(sys, "_getframe") else None
while frame is not None:
module_name = frame.f_globals.get("__name__", "")
if not module_name.startswith("pydantic"):
if not _module_in_prefixes(module_name, skip_prefixes):
warnings.warn_explicit(
message,
category,
@ -63,5 +101,5 @@ def warn_at_caller(message: str, category: type[Warning]) -> None:
return
frame = frame.f_back
# Fallback: never escaped pydantic frames (or no frame access). Use stacklevel.
# Fallback: never escaped library frames (or no frame access). Use stacklevel.
warnings.warn(message, category, stacklevel=3)

View file

@ -167,6 +167,32 @@ def test_get_default_provider_name_without_default_key(tmp_path: Path):
assert get_default_provider_name() is None
def test_get_default_provider_name_warning_attributes_to_user_frame(tmp_path: Path):
"""Regression for PR #594 review (andreatgretel): the YAML-default warning
must attribute to the user's call site, not to ``default_model_settings.py``.
Python's default filter ignores library-attributed ``DeprecationWarning``
entries, so the previous ``stacklevel=2`` attribution rendered the warning
invisible under default filters on the only real call path
(``DataDesigner.__init__``). See issue #589.
"""
providers_file_path = tmp_path / "providers.yaml"
providers_file_path.write_text(
json.dumps(dict(providers=[p.model_dump() for p in get_builtin_model_providers()], default="nvidia"))
)
with patch("data_designer.config.default_model_settings.MODEL_PROVIDERS_FILE_PATH", new=providers_file_path):
with warnings.catch_warnings(record=True) as caught:
warnings.simplefilter("always", DeprecationWarning)
assert get_default_provider_name() == "nvidia"
matches = [w for w in caught if "'default:' key" in str(w.message)]
assert len(matches) == 1, [str(w.message) for w in caught]
assert matches[0].filename == __file__, (
f"Warning attributed to {matches[0].filename!r} (line {matches[0].lineno}) "
f"instead of the test file. Library-attributed DeprecationWarnings are "
f"silenced under default filters."
)
def test_get_default_provider_name_path_does_not_exist():
with patch("data_designer.config.default_model_settings.MODEL_PROVIDERS_FILE_PATH", new=Path("non_existent_path")):
with pytest.raises(FileNotFoundError, match=r"Default model providers file not found at 'non_existent_path'"):

View file

@ -0,0 +1,95 @@
# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
import warnings
from data_designer.config.utils.warning_helpers import _module_in_prefixes, warn_at_caller
def test_module_in_prefixes_exact_match():
assert _module_in_prefixes("pydantic", ("pydantic",)) is True
def test_module_in_prefixes_dotted_submodule():
assert _module_in_prefixes("pydantic.fields", ("pydantic",)) is True
assert _module_in_prefixes("data_designer.config.models", ("data_designer",)) is True
def test_module_in_prefixes_rejects_prefix_collision():
"""Regression for PR #594 review (johnnygreco): ``startswith`` matching
naively on the prefix would silently treat ``pydantic_helpers`` as part of
the ``pydantic`` package. Anchor on exact-or-dotted-prefix instead.
"""
assert _module_in_prefixes("pydantic_helpers", ("pydantic",)) is False
assert _module_in_prefixes("pydanticfoo", ("pydantic",)) is False
assert _module_in_prefixes("data_designer_other", ("data_designer",)) is False
def test_warn_at_caller_attributes_to_direct_caller():
"""When called from a non-skipped module, the warning attributes to the
caller's frame.
"""
with warnings.catch_warnings(record=True) as caught:
warnings.simplefilter("always")
warn_at_caller("hello", DeprecationWarning) # line anchored below
assert len(caught) == 1
assert caught[0].filename == __file__
assert "hello" in str(caught[0].message)
def test_warn_at_caller_skips_skip_prefix_frames():
"""The walk should escape any frame whose module is listed in
``skip_prefixes`` and attribute to the first frame outside them. We
simulate a library frame by ``exec``-ing a helper with a fake module name
in its globals; calling that helper produces a frame whose
``f_globals["__name__"]`` is the fake name, mirroring how a real library
frame would appear during the walk.
"""
library_globals: dict[str, object] = {
"__name__": "fake_library.dispatch",
"warn_at_caller": warn_at_caller,
"DeprecationWarning": DeprecationWarning,
}
exec(
"def emit():\n warn_at_caller('from-library', DeprecationWarning, skip_prefixes=('fake_library',))\n",
library_globals,
)
emit = library_globals["emit"]
with warnings.catch_warnings(record=True) as caught:
warnings.simplefilter("always")
emit()
assert len(caught) == 1
assert caught[0].filename == __file__, f"Expected attribution at {__file__!r}, got {caught[0].filename!r}"
def test_warn_at_caller_default_skips_pydantic_and_data_designer():
"""Default ``skip_prefixes`` should cover both pydantic and data_designer
so warnings emitted from validators inside DataDesigner internals attribute
to the user, not to either library.
"""
from data_designer.config.utils.warning_helpers import DEFAULT_INTERNAL_PREFIXES
assert "pydantic" in DEFAULT_INTERNAL_PREFIXES
assert "data_designer" in DEFAULT_INTERNAL_PREFIXES
def test_warn_at_caller_dedup_keys_on_user_call_site():
"""Python's once-per-location dedup keys on (text, category, lineno) inside
the *attributing* frame's ``__warningregistry__``. With proper user
attribution, two distinct call sites in the user's file each emit a
warning under ``default`` filtering, while a repeated call at the same
site emits only the first.
"""
with warnings.catch_warnings(record=True) as caught:
warnings.simplefilter("default", DeprecationWarning)
warn_at_caller("dedup-test", DeprecationWarning) # site A
warn_at_caller("dedup-test", DeprecationWarning) # site B
linenos = {w.lineno for w in caught}
assert len(caught) == 2, [str(w.message) for w in caught]
assert len(linenos) == 2, "Each call site should produce a distinct dedup key"

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@ -124,6 +124,43 @@ def test_no_default_does_not_emit_deprecation_warning(stub_foo_provider: ModelPr
ModelProviderRegistry(providers=[stub_foo_provider])
def test_explicit_default_none_does_not_emit_deprecation_warning(stub_foo_provider: ModelProvider) -> None:
"""Pin the predicate tightening from PR #594 review: passing ``default=None``
explicitly is semantically equivalent to omitting it (caller is opting *out*
of a registry-level default), so the deprecation must NOT fire.
"""
with warnings.catch_warnings():
warnings.simplefilter("error", DeprecationWarning)
ModelProviderRegistry(providers=[stub_foo_provider], default=None)
def test_explicit_default_warning_attributes_to_user_frame(
stub_foo_provider: ModelProvider, stub_bar_provider: ModelProvider
) -> None:
"""Regression for PR #594 review (andreatgretel): the ``default=`` deprecation
warning must attribute to the *user's* call site, not the pydantic-internal
or ``data_designer`` library frame that emits it. Library-attributed
``DeprecationWarning`` entries are silenced under Python's default
``ignore::DeprecationWarning`` filter, so attribution determines whether
the warning is actually visible.
Construction goes through ``resolve_model_provider_registry`` so the walk
has to escape both pydantic (validator dispatch) and ``data_designer``
(the helper that builds the registry) before landing on the test frame.
"""
with warnings.catch_warnings(record=True) as caught:
warnings.simplefilter("always", DeprecationWarning)
resolve_model_provider_registry([stub_foo_provider, stub_bar_provider], default_provider_name="bar")
matches = [w for w in caught if "ModelProviderRegistry.default is deprecated" in str(w.message)]
assert len(matches) == 1, [str(w.message) for w in caught]
assert matches[0].filename == __file__, (
f"Warning attributed to {matches[0].filename!r} (line {matches[0].lineno}) "
f"instead of the test file. Library-attributed DeprecationWarnings are "
f"silenced under default filters."
)
def test_resolve_single_provider_quiet_under_deprecation(stub_foo_provider: ModelProvider) -> None:
"""Pin the q3 tweak: ``resolve_model_provider_registry`` skips ``default=``
in the single-provider case so common construction paths stay quiet under