Use minor version for compatibility check (#8403)

* Use minor version for compatibility check

* Use minor version of compatibility table
* Soften warning message about incompatible models
* Add test for presence of current version in compatibility table

* Add test for download compatibility table

* Use minor version of lower pin in error message if possible

* Fall back to spacy_git_version if available

* Fix unknown version string
This commit is contained in:
Adriane Boyd 2021-06-21 09:39:22 +02:00 committed by GitHub
parent ec71a6b572
commit 9fde258053
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5 changed files with 72 additions and 18 deletions

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@ -6,7 +6,7 @@ import typer
from ._util import app, Arg, Opt, WHEEL_SUFFIX, SDIST_SUFFIX
from .. import about
from ..util import is_package, get_base_version, run_command
from ..util import is_package, get_minor_version, run_command
from ..errors import OLD_MODEL_SHORTCUTS
@ -74,7 +74,7 @@ def download(model: str, direct: bool = False, sdist: bool = False, *pip_args) -
def get_compatibility() -> dict:
version = get_base_version(about.__version__)
version = get_minor_version(about.__version__)
r = requests.get(about.__compatibility__)
if r.status_code != 200:
msg.fail(

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@ -3,10 +3,12 @@ from pathlib import Path
import sys
import requests
from wasabi import msg, Printer
import warnings
from ..errors import Warnings
from ._util import app
from .. import about
from ..util import get_package_version, get_installed_models, get_base_version
from ..util import get_package_version, get_installed_models, get_minor_version
from ..util import get_package_path, get_model_meta, is_compatible_version
@ -24,7 +26,7 @@ def validate_cli():
def validate() -> None:
model_pkgs, compat = get_model_pkgs()
spacy_version = get_base_version(about.__version__)
spacy_version = get_minor_version(about.__version__)
current_compat = compat.get(spacy_version, {})
if not current_compat:
msg.warn(f"No compatible packages found for v{spacy_version} of spaCy")
@ -44,8 +46,8 @@ def validate() -> None:
comp = msg.text("", color="green", icon="good", no_print=True)
version = msg.text(data["version"], color="green", no_print=True)
else:
version = msg.text(data["version"], color="red", no_print=True)
comp = f"--> {compat.get(data['name'], ['n/a'])[0]}"
version = msg.text(data["version"], color="yellow", no_print=True)
comp = f"--> {current_compat.get(data['name'], ['n/a'])[0]}"
rows.append((data["name"], data["spacy"], version, comp))
msg.table(rows, header=header)
else:
@ -78,6 +80,8 @@ def get_model_pkgs(silent: bool = False) -> Tuple[dict, dict]:
msg.good("Loaded compatibility table")
compat = r.json()["spacy"]
all_models = set()
with warnings.catch_warnings():
warnings.filterwarnings("ignore", message="\\[W09[45]")
installed_models = get_installed_models()
for spacy_v, models in dict(compat).items():
all_models.update(models.keys())
@ -92,6 +96,8 @@ def get_model_pkgs(silent: bool = False) -> Tuple[dict, dict]:
spacy_version = about.__version__
else:
model_path = get_package_path(package)
with warnings.catch_warnings():
warnings.filterwarnings("ignore", message="\\[W09[45]")
model_meta = get_model_meta(model_path)
spacy_version = model_meta.get("spacy_version", "n/a")
is_compat = is_compatible_version(about.__version__, spacy_version)

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@ -150,12 +150,12 @@ class Warnings:
"released, because the model may say it's compatible when it's "
'not. Consider changing the "spacy_version" in your meta.json to a '
"version range, with a lower and upper pin. For example: {example}")
W095 = ("Model '{model}' ({model_version}) requires spaCy {version} and is "
"incompatible with the current version ({current}). This may lead "
"to unexpected results or runtime errors. To resolve this, "
"download a newer compatible model or retrain your custom model "
"with the current spaCy version. For more details and available "
"updates, run: python -m spacy validate")
W095 = ("Model '{model}' ({model_version}) was trained with spaCy "
"{version} and may not be 100% compatible with the current version "
"({current}). If you see errors or degraded performance, download "
"a newer compatible model or retrain your custom model with the "
"current spaCy version. For more details and available updates, "
"run: python -m spacy validate")
W096 = ("The method `nlp.disable_pipes` is now deprecated - use "
"`nlp.select_pipes` instead.")
W100 = ("Skipping unsupported morphological feature(s): '{feature}'. "

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@ -10,6 +10,10 @@ from spacy.cli.init_config import init_config, RECOMMENDATIONS
from spacy.cli._util import validate_project_commands, parse_config_overrides
from spacy.cli._util import load_project_config, substitute_project_variables
from spacy.cli._util import string_to_list
from spacy import about
from spacy.util import get_minor_version
from spacy.cli.validate import get_model_pkgs
from spacy.cli.download import get_compatibility, get_version
from thinc.api import ConfigValidationError, Config
import srsly
import os
@ -308,7 +312,8 @@ def test_project_config_validation2(config, n_errors):
@pytest.mark.parametrize(
"int_value", [10, pytest.param("10", marks=pytest.mark.xfail)],
"int_value",
[10, pytest.param("10", marks=pytest.mark.xfail)],
)
def test_project_config_interpolation(int_value):
variables = {"a": int_value, "b": {"c": "foo", "d": True}}
@ -331,7 +336,8 @@ def test_project_config_interpolation(int_value):
@pytest.mark.parametrize(
"greeting", [342, "everyone", "tout le monde", pytest.param("42", marks=pytest.mark.xfail)],
"greeting",
[342, "everyone", "tout le monde", pytest.param("42", marks=pytest.mark.xfail)],
)
def test_project_config_interpolation_override(greeting):
variables = {"a": "world"}
@ -423,7 +429,13 @@ def test_parse_cli_overrides():
@pytest.mark.parametrize("pretraining", [True, False])
def test_init_config(lang, pipeline, optimize, pretraining):
# TODO: add more tests and also check for GPU with transformers
config = init_config(lang=lang, pipeline=pipeline, optimize=optimize, pretraining=pretraining, gpu=False)
config = init_config(
lang=lang,
pipeline=pipeline,
optimize=optimize,
pretraining=pretraining,
gpu=False,
)
assert isinstance(config, Config)
if pretraining:
config["paths"]["raw_text"] = "my_data.jsonl"
@ -474,3 +486,18 @@ def test_string_to_list(value):
def test_string_to_list_intify(value):
assert string_to_list(value, intify=False) == ["1", "2", "3"]
assert string_to_list(value, intify=True) == [1, 2, 3]
def test_download_compatibility():
model_name = "en_core_web_sm"
compatibility = get_compatibility()
version = get_version(model_name, compatibility)
assert get_minor_version(about.__version__) == get_minor_version(version)
def test_validate_compatibility_table():
model_pkgs, compat = get_model_pkgs()
spacy_version = get_minor_version(about.__version__)
current_compat = compat.get(spacy_version, {})
assert len(current_compat) > 0
assert "en_core_web_sm" in current_compat

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@ -648,6 +648,19 @@ def get_model_version_range(spacy_version: str) -> str:
return f">={spacy_version},<{release[0]}.{release[1] + 1}.0"
def get_model_lower_version(constraint: str) -> Optional[str]:
"""From a version range like >=1.2.3,<1.3.0 return the lower pin.
"""
try:
specset = SpecifierSet(constraint)
for spec in specset:
if spec.operator in (">=", "==", "~="):
return spec.version
except Exception:
pass
return None
def get_base_version(version: str) -> str:
"""Generate the base version without any prerelease identifiers.
@ -701,10 +714,18 @@ def load_meta(path: Union[str, Path]) -> Dict[str, Any]:
raise ValueError(Errors.E054.format(setting=setting))
if "spacy_version" in meta:
if not is_compatible_version(about.__version__, meta["spacy_version"]):
lower_version = get_model_lower_version(meta["spacy_version"])
lower_version = get_minor_version(lower_version)
if lower_version is not None:
lower_version = "v" + lower_version
elif "spacy_git_version" in meta:
lower_version = "git commit " + meta["spacy_git_version"]
else:
lower_version = "version unknown"
warn_msg = Warnings.W095.format(
model=f"{meta['lang']}_{meta['name']}",
model_version=meta["version"],
version=meta["spacy_version"],
version=lower_version,
current=about.__version__,
)
warnings.warn(warn_msg)