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refactor providers into modules

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sneakers-the-rat 2024-07-09 23:52:58 -07:00
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28
nwb_linkml/src/nwb_linkml/providers/__init__.py
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""" """
Classes used for acquiring things from elsewhere, managing build processes, and caching results. Classes used for acquiring things from elsewhere, managing build processes, and caching
results.[^recall]
Each provider class handles gathering the inputs and caching and providing the desired outputs
for its domain.
- {mod}`.git` providers faithfully yield to us the state of some code or schema somewhere
- {mod}`~.providers.linkml` providers nobly convert NWB schema language to linkml
- {mod}`~.providers.pydantic` providers courageously generate pydantic models from that linkml
- {mod}`~.providers.schema` providers sit around on their ass all day and wrap the other kinds of
providers for a simpler interface
[^recall]: Recall that
- {mod}`.adapters` are for converting nwb schema language to linkml
- {mod}`.generators` (or rather the pydanticgen) are for converting linkml into concrete
representations like pydantic models
- so **providers** are the things that manage the multistage build process given some cache of
the stages so that you can go like "gimme model i want my model" and you will probably get it.
""" """
# ruff: noqa: I001 - import order necessary to avoid circular imports :)
from nwb_linkml.providers.provider import Provider
from nwb_linkml.providers.linkml import LinkMLProvider
from nwb_linkml.providers.pydantic import PydanticProvider
from nwb_linkml.providers.schema import SchemaProvider
from nwb_linkml.providers.schema import LinkMLProvider, PydanticProvider, SchemaProvider __all__ = ["Provider", "LinkMLProvider", "PydanticProvider", "SchemaProvider"]
__all__ = ["LinkMLProvider", "PydanticProvider", "SchemaProvider"]

282
nwb_linkml/src/nwb_linkml/providers/linkml.py Normal file
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import shutil
from pathlib import Path
from typing import Dict, Optional, TypedDict
from linkml_runtime import SchemaView
from linkml_runtime.dumpers import yaml_dumper
from linkml_runtime.linkml_model import SchemaDefinition, SchemaDefinitionName
from nwb_linkml import adapters, io
from nwb_linkml.adapters import BuildResult
from nwb_linkml.maps.naming import relative_path
from nwb_linkml.providers import Provider
from nwb_linkml.providers.git import DEFAULT_REPOS
from nwb_linkml.ui import AdapterProgress
from nwb_schema_language import Namespaces
class LinkMLSchemaBuild(TypedDict):
"""Build result from :meth:`.LinkMLProvider.build`"""
version: str
namespace: Path
name: str
result: Optional[BuildResult]
class LinkMLProvider(Provider):
"""
Provider for conversions from nwb schema language to linkML.
By default, generate and manage a nest of temporary cache directories
(as configured by :class:`.Config`) for each version of a given namespace.
Like other :class:`.Provider` classes, this model is not a singleton but
behaves a bit like one in that when instantiated without arguments
it is stateless (except for configuration by environment-level variables).
So we don't use ``@classmethod`` s here, but instantiating the class should remain
cheap.
Namespaces can be built from:
* namespace .yaml files: :meth:`.build_from_yaml`
* dictionaries, as are usually packaged in nwb files: :meth:`.build_from_dicts`
All of which feed into...
* :class:`~.adapters.NamespacesAdapter` used throughout the rest of ``nwb_linkml`` -
:meth:`.build`
After a namespace is built, it can be accessed using :meth:`.LinkMLProvider.get`, which
can also be consumed by other providers, so a given namespace and version should only need
to be built once.
Note:
At the moment there is no checking (eg. by comparing hashes) of different sources that
purport to be a given version of a namespace. When ambiguous, the class prefers to
build sets of namespaces together and use the most recently built ones since there is no
formal system for linking versions of namespaced schemas in nwb schema language.
Examples:
.. code-block:: python
provider = LinkMLProvider()
# Simplest case, get the core nwb schema from the default NWB core repo
core = provider.get('core')
# Get a specific version of the core schema
core_other_version = provider.get('core', '2.2.0')
# Build a custom schema and then get it
# provider.build_from_yaml('myschema.yaml')
# my_schema = provider.get('myschema')
"""
PROVIDES = "linkml"
PROVIDES_CLASS = SchemaDefinition
@property
def path(self) -> Path:
"""``linkml_dir`` provided by :class:`.Config`"""
return self.config.linkml_dir
def build_from_yaml(
self, path: Path, **kwargs: dict
) -> Dict[str | SchemaDefinitionName, LinkMLSchemaBuild]:
"""
Build a namespace's schema
Arguments:
path (:class:`pathlib.Path`): Path to the namespace .yaml
kwargs: passed to :meth:`.build`
"""
ns_adapter = adapters.NamespacesAdapter.from_yaml(path)
return self.build(ns_adapter, **kwargs)
def build_from_dicts(
self, schemas: Dict[str, dict], **kwargs: dict
) -> Dict[str | SchemaDefinitionName, LinkMLSchemaBuild]:
"""
Build from schema dictionaries, eg. as come from nwb files
Arguments:
schemas (dict): A dictionary of ``{'schema_name': {:schema_definition}}``.
The "namespace" schema should have the key ``namespace``, which is used
to infer version and schema name. Post-load maps should have already
been applied
"""
ns_adapters = {}
for ns_name, ns_schemas in schemas.items():
ns = Namespaces(**ns_schemas["namespace"])
typed_schemas = [
io.schema.load_schema_file(path=Path(key + ".yaml"), yaml=val)
for key, val in ns_schemas.items()
if key != "namespace"
]
ns_adapter = adapters.NamespacesAdapter(namespaces=ns, schemas=typed_schemas)
ns_adapters[ns_name] = ns_adapter
# get the correct imports
for adapter in ns_adapters.values():
for schema_needs in adapter.needed_imports.values():
for needed in schema_needs:
adapter.imported.append(ns_adapters[needed])
# then do the build
res = {}
for adapter in ns_adapters.values():
res.update(self.build(adapter, **kwargs))
return res
def build(
self,
ns_adapter: adapters.NamespacesAdapter,
versions: Optional[dict] = None,
dump: bool = True,
force: bool = False,
) -> Dict[str | SchemaDefinitionName, LinkMLSchemaBuild]:
"""
Arguments:
namespaces (:class:`.NamespacesAdapter`): Adapter
(populated with any necessary imported namespaces) to build
versions (dict): Dict of specific versions to use
for cross-namespace imports. as ``{'namespace': 'version'}``
If none is provided, use the most recent version
available.
dump (bool): If ``True`` (default), dump generated schema to YAML. otherwise just return
force (bool): If ``False`` (default), don't build schema that already exist.
If ``True`` , clear directory and rebuild
Returns:
Dict[str, LinkMLSchemaBuild]. For normal builds,
:attr:`.LinkMLSchemaBuild.result` will be populated with results
of the build. If ``force == False`` and the schema already exist, it will be ``None``
"""
# Return cached result if available
if not force and all(
[
(self.namespace_path(ns, version) / "namespace.yaml").exists()
for ns, version in ns_adapter.versions.items()
]
):
return {
k: LinkMLSchemaBuild(
name=k,
result=None,
namespace=self.namespace_path(k, v) / "namespace.yaml",
version=v,
)
for k, v in ns_adapter.versions.items()
}
if self.verbose:
progress = AdapterProgress(ns_adapter)
with progress:
built = ns_adapter.build(progress=progress)
else:
built = ns_adapter.build()
# write schemas to yaml files
build_result = {}
namespace_sch = [
sch
for sch in built.schemas
if "is_namespace" in sch.annotations
and sch.annotations["is_namespace"].value in ("True", True)
]
for ns_linkml in namespace_sch:
version = ns_adapter.versions[ns_linkml.name]
# prepare the output directory
version_path = self.namespace_path(ns_linkml.name, version, allow_repo=False)
if version_path.exists() and force:
shutil.rmtree(str(version_path))
version_path.mkdir(exist_ok=True, parents=True)
ns_file = version_path / "namespace.yaml"
# schema built as part of this namespace that aren't the namespace file
other_schema = [
sch
for sch in built.schemas
if sch.name.split(".")[0] == ns_linkml.name and sch not in namespace_sch
]
if force or not ns_file.exists():
ns_linkml = self._fix_schema_imports(ns_linkml, ns_adapter, ns_file)
yaml_dumper.dump(ns_linkml, ns_file)
# write the schemas for this namespace
for sch in other_schema:
output_file = version_path / (sch.name + ".yaml")
# fix the paths for intra-schema imports
sch = self._fix_schema_imports(sch, ns_adapter, output_file)
yaml_dumper.dump(sch, output_file)
# make return result for just this namespace
build_result[ns_linkml.name] = LinkMLSchemaBuild(
namespace=ns_file,
name=ns_linkml.name,
result=BuildResult(schemas=[ns_linkml, *other_schema]),
version=version,
)
return build_result
def _fix_schema_imports(
self, sch: SchemaDefinition, ns_adapter: adapters.NamespacesAdapter, output_file: Path
) -> SchemaDefinition:
"""
Look there are a lot of nested directories around here and they aren't necessarily
all available at generation time. We have to relink relative imports between schema as
they are split and generated from the NWB.
"""
for animport in sch.imports:
if animport.split(".")[0] in ns_adapter.versions:
imported_path = (
self.namespace_path(
animport.split(".")[0], ns_adapter.versions[animport.split(".")[0]]
)
/ "namespace"
)
rel_path = relative_path(imported_path, output_file)
if str(rel_path) == "." or str(rel_path) == "namespace":
# same directory, just keep the existing import
continue
idx = sch.imports.index(animport)
del sch.imports[idx]
sch.imports.insert(idx, str(rel_path))
return sch
def get(self, namespace: str, version: Optional[str] = None) -> SchemaView:
"""
Get a schema view over the namespace.
If a matching path for the namespace and version exists in the :attr:`.path`,
then return the SchemaView over that namespace.
Otherwise, try and find a source using our :data:`.providers.git.DEFAULT_REPOS`.
If none is found, then you need to build and cache the (probably custom) schema first with
:meth:`.build`
"""
path = self.namespace_path(namespace, version) / "namespace.yaml"
if not path.exists():
path = self._find_source(namespace, version)
sv = SchemaView(path)
sv.path = path
return sv
def _find_source(self, namespace: str, version: Optional[str] = None) -> Path:
"""Try and find the namespace if it exists in our default repository and build it!"""
ns_repo = DEFAULT_REPOS.get(namespace, None)
if ns_repo is None:
raise KeyError(
f"Namespace {namespace} could not be found, and no git repository source has been"
" configured!"
)
ns_file = ns_repo.provide_from_git(commit=version)
res = self.build_from_yaml(ns_file)
return res[namespace]["namespace"]

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nwb_linkml/src/nwb_linkml/providers/provider.py Normal file
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import importlib
import os
from abc import ABC, abstractmethod
from pathlib import Path
from typing import Any, Dict, List, Optional, TypeVar
from nwb_linkml import Config
from nwb_linkml.maps.naming import module_case, version_module_case
P = TypeVar("P")
class Provider(ABC):
"""
Metaclass for different kind of providers!
Args:
path (:class:`pathlib.Path`): Override the temporary directory configured by
the environment-wide :class:`.Config` object as the base directory that the
subclasses provide to.
verbose (bool): If ``True``, print things like progress bars to stdout :)
Attributes:
config (:class:`.Config`): Configuration for the directories used by this
provider, unless overridden by ``path``
allow_repo (bool): Allow the pathfinder to return the installed repository/package,
useful to enforce building into temporary directories, decoupling finding a path
during loading vs. building. Building into the repo is still possible if both
namespace and version are provided (ie. the path is fully qualified) and
:attr:`.config`'s path is the repository path.
cache_dir (:class:`pathlib.Path`): The main cache directory under which the other
providers will store the things they provide
"""
PROVIDES: str
PROVIDES_CLASS: P = None
def __init__(self, path: Optional[Path] = None, allow_repo: bool = True, verbose: bool = True):
config = Config(cache_dir=path) if path is not None else Config()
self.config = config
self.cache_dir = config.cache_dir
self.allow_repo = allow_repo
self.verbose = verbose
@property
@abstractmethod
def path(self) -> Path:
"""
Base path for this kind of provider
"""
@abstractmethod
def build(self, *args: Any) -> P:
"""
Whatever needs to be done to build this thing, if applicable
"""
@abstractmethod
def get(self, *args: Any) -> Any:
"""
Get a cached item.
Optionally, try any build it if it's possible to do so
"""
def namespace_path(
self, namespace: str, version: Optional[str] = None, allow_repo: Optional[bool] = None
) -> Path:
"""
Get the location for a given namespace of this type.
Note that we don't check for existence, because this method should
also be used when generating schema --- this is the canonical location
Arguments:
namespace (str): Namespace to get!
version (str): Optional, version of namespace. If ``None``,
either get the most recent version built, or if
``namespace`` is ``core`` or ``hdmf-common``, use the
modules provided with the package. We do not use the most
recent *version*, but the most recently *generated* version
because it's assumed that's the one you want if you're just
gesturally reaching for one.
allow_repo (bool): Optional - override instance-level ``allow_repo`` attr
"""
if allow_repo is None:
allow_repo = self.allow_repo
namespace_module = module_case(namespace)
namespace_path = self.path / namespace_module
if not namespace_path.exists() and namespace in ("core", "hdmf-common") and allow_repo:
# return builtins
module_path = Path(importlib.util.find_spec("nwb_linkml").origin).parent
if self.PROVIDES == "linkml":
namespace_path = module_path / "schema" / "linkml" / namespace
elif self.PROVIDES == "pydantic":
namespace_path = module_path / "models" / "pydantic" / namespace
if version is not None:
version_path = namespace_path / version_module_case(version)
# version_path.mkdir(exist_ok=True, parents=True)
else:
# or find the most recently built one
versions = sorted(namespace_path.iterdir(), key=os.path.getmtime)
versions = [v for v in versions if v.is_dir() and v.name not in ("__pycache__")]
if len(versions) == 0:
raise FileNotFoundError("No version provided, and no existing schema found")
version_path = versions[-1]
return version_path
@property
def available_versions(self) -> Dict[str, List[str]]:
"""
Dictionary mapping a namespace to a list of built versions
"""
from nwb_linkml.providers import LinkMLProvider
versions = {} # type: Dict[str, List[Path]]
# first get any builtins provided by the package itself
# these get overwritten by
module_path = Path(importlib.util.find_spec("nwb_linkml").origin).parent
builtin_namespaces = []
if self.PROVIDES == "linkml":
namespace_path = module_path / "schema" / "linkml"
builtin_namespaces = list(namespace_path.iterdir())
elif self.PROVIDES == "pydantic":
namespace_path = module_path / "models" / "pydantic"
builtin_namespaces = list(namespace_path.iterdir())
tmp_paths = []
try:
tmp_paths.extend(list(self.path.iterdir()))
if self.PROVIDES == "pydantic":
# we also include versions that we just have the linkml version of
# because they are also available, we just have to build them.
# maybe the semantics of this property are getting overloaded tho
# and we need to separate the maintenance of the temporary directory
# from providing from it
tmp_paths.extend(list(LinkMLProvider(path=self.config.cache_dir).path.iterdir()))
except FileNotFoundError:
# fine, just return the builtins
pass
for ns_dir in builtin_namespaces + tmp_paths:
if not ns_dir.is_dir():
continue
if ns_dir.name not in versions:
versions[ns_dir.name] = []
versions[ns_dir.name].extend([v for v in ns_dir.iterdir() if v.is_dir()])
# flatten out in case we got duplicates between the builtins and cache
res = {
k: [
v.name for v in sorted(set(v_paths), key=os.path.getmtime) if v.name.startswith("v")
]
for k, v_paths in versions.items()
}
return res

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nwb_linkml/src/nwb_linkml/providers/pydantic.py Normal file
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"""
Provider for pydantic models.
"""
import importlib
import sys
from importlib.abc import MetaPathFinder
from importlib.machinery import ModuleSpec
from pathlib import Path
from types import ModuleType
from typing import List, Optional, Type
from pydantic import BaseModel
from nwb_linkml import io
from nwb_linkml.generators.pydantic import NWBPydanticGenerator
from nwb_linkml.maps.naming import module_case, version_module_case
from nwb_linkml.providers import LinkMLProvider, Provider
class PydanticProvider(Provider):
"""
Provider for pydantic models built from linkml-style nwb schema
(ie. as provided by :class:`.LinkMLProvider`)
Generates pydantic models into a :attr:`~.PydanticProvider.path` that can be imported
as if they were within the `nwb_linkml` namespace using an :class:`.EctopicModelFinder` .
.. todo::
Documentation of directory structure and caching will be completed once it is finalized :)
"""
PROVIDES = "pydantic"
def __init__(self, path: Optional[Path] = None, verbose: bool = True):
super().__init__(path, verbose)
# create a metapathfinder to find module we might create
pathfinder = EctopicModelFinder(self.path)
sys.meta_path.append(pathfinder)
@property
def path(self) -> Path:
"""``pydantic_dir`` provided by :class:`.Config`"""
return self.config.pydantic_dir
def build(
self,
namespace: str | Path,
out_file: Optional[Path] = None,
version: Optional[str] = None,
versions: Optional[dict] = None,
split: bool = True,
dump: bool = True,
force: bool = False,
**kwargs: dict,
) -> str | List[str]:
"""
Notes:
We currently infer namespace and version from the path when ``namespace`` is a Path,
which is a patently Bad Thing To Do. This is a temporary measure until we decide on
a permanent means by which we want to cache built artifacts <3. Hierarchies of folders
is not the target design.
Args:
namespace (Union[str, :class:`pathlib.Path`]): If a string, use a
:class:`.LinkMLProvider` to get the converted schema. If a path,
assume we have been given an explicit ``namespace.yaml`` from a converted
NWB -> LinkML schema to load from.
out_file (Optional[Path]): Optionally override the output file. If ``None``,
generate from namespace and version
version (Optional[str]): The version of the schema to build, if present.
Works similarly to ``version`` in :class:`.LinkMLProvider`.
Ignored if ``namespace`` is a Path.
versions (Optional[dict]): An explicit mapping of namespaces and versions to use when
building the combined pydantic `namespace.py` file.
Since NWB doesn't have an explicit version dependency system between schema,
there is intrinsic ambiguity between which version
of which schema should be used when imported from another.
This mapping allows those ambiguities to be resolved.
See :class:`.NWBPydanticGenerator` 's ``versions`` argument for more information.
split (bool): If ``False`` (default), generate a single ``namespace.py`` file,
otherwise generate a python file for each schema in the namespace
in addition to a ``namespace.py`` that imports from them
dump (bool): If ``True`` (default), dump the model to the cache,
otherwise just return the serialized string of built pydantic model
force (bool): If ``False`` (default), don't build the model if it already exists,
if ``True`` , delete and rebuild any model
**kwargs: Passed to :class:`.NWBPydanticGenerator`
Returns:
str: The built model file as returned from :meth:`.NWBPydanticGenerator.serialize`
"""
if isinstance(namespace, str) and not (
namespace.endswith(".yaml") or namespace.endswith(".yml")
):
# we're given a name of a namespace to build
name = namespace
path = (
LinkMLProvider(path=self.config.cache_dir).namespace_path(namespace, version)
/ "namespace.yaml"
)
if version is None:
# Get the most recently built version
version = LinkMLProvider(path=self.config.cache_dir).available_versions[name][-1]
fn = path.parts[-1]
else:
# given a path to a namespace linkml yaml file
path = Path(namespace)
# FIXME: this is extremely fragile, but get the details from the path.
# this is faster than reading yaml for now
name = path.parts[-3]
version = path.parts[-2]
fn = path.parts[-1]
version = version_module_case(version)
# this is extremely fragile, we should not be inferring version number from paths...
# TODO: we need an efficient peek for specific keys within a yaml file
if out_file is None:
fn = fn.removesuffix(".yaml")
fn = module_case(fn) + ".py"
out_file = self.path / name / version / fn
default_kwargs = {
"split": split,
"emit_metadata": True,
"gen_slots": True,
"pydantic_version": "2",
}
default_kwargs.update(kwargs)
# if we weren't given explicit versions to load, figure them out from the namespace
if versions is None:
versions = self._get_dependent_versions(path)
if split:
return self._build_split(path, versions, default_kwargs, dump, out_file, force)
else:
return self._build_unsplit(path, versions, default_kwargs, dump, out_file, force)
def _build_unsplit(
self,
path: Path,
versions: dict,
default_kwargs: dict,
dump: bool,
out_file: Path,
force: bool,
) -> Optional[str]:
if out_file.exists() and not force:
with open(out_file) as ofile:
serialized = ofile.read()
return serialized
generator = NWBPydanticGenerator(str(path), versions=versions, **default_kwargs)
serialized = generator.serialize()
if dump:
out_file.parent.mkdir(parents=True, exist_ok=True)
with open(out_file, "w") as ofile:
ofile.write(serialized)
self._make_inits(out_file)
return serialized
def _build_split(
self,
path: Path,
versions: dict,
default_kwargs: dict,
dump: bool,
out_file: Path,
force: bool,
) -> List[str]:
serialized = []
for schema_file in path.parent.glob("*.yaml"):
this_out = out_file.parent / (module_case(schema_file.stem) + ".py")
serialized.append(
self._build_unsplit(schema_file, versions, default_kwargs, dump, this_out, force)
)
# If there are dependent versions that also need to be built, do that now!
needed = [
(module_case(ns), version_module_case(version))
for ns, version in versions.items()
if version_module_case(version) not in self.available_versions.get(ns, [])
]
for needs in needed:
needed_path = path.parents[2] / needs[0] / needs[1] / "namespace.yaml"
out_file_stem = out_file.parents[2] / needs[0] / needs[1]
for schema_file in needed_path.parent.glob("*.yaml"):
this_out = out_file_stem / (module_case(schema_file.stem) + ".py")
serialized.append(
self._build_unsplit(
schema_file, versions, default_kwargs, dump, this_out, force
)
)
return serialized
def _make_inits(self, out_file: Path):
"""
Make __init__.py files for the directory a model is output to and its immediate parent.
(ig this could be generalized in depth but lets not go nuts in here with the nesting)
"""
initfile = out_file.parent / "__init__.py"
parent_init = out_file.parent.parent / "__init__.py"
for ifile in (initfile, parent_init):
if not ifile.exists():
with open(ifile, "w") as ifile_open:
ifile_open.write(" ")
def _get_dependent_versions(self, path: Path) -> dict[str, str]:
"""
For a given namespace schema file, get the versions of any other schemas it imports
Namespace imports will be in the importing schema like:
imports:
-../../hdmf_common/v1_8_0/namespace
-../../hdmf_experimental/v0_5_0/namespace
Returns:
dict[str,str]: A dictionary mapping a namespace to a version number
"""
schema = io.schema.load_yaml(path)
versions = {}
for i in schema["imports"]:
if i.startswith(".."):
import_path = (Path(path).parent / Path(i + ".yaml")).resolve()
imported_schema = io.schema.load_yaml(import_path)
versions[imported_schema["name"]] = imported_schema["version"]
return versions
@classmethod
def module_name(self, namespace: str, version: str) -> str:
"""Module name for the built module
e.g.::
nwb_linkml.models.pydantic.{namespace}.{version}
"""
name_pieces = [
"nwb_linkml",
"models",
"pydantic",
module_case(namespace),
version_module_case(version),
]
module_name = ".".join(name_pieces)
return module_name
def import_module(self, namespace: str, version: Optional[str] = None) -> ModuleType:
"""
Import a module within the temporary directory from its namespace and version
In most cases, you're looking for :meth:`.PydanticProvider.get`, this method is
made available in case you don't want to accidentally build something
or invoke the rest of the provisioning system.
Args:
namespace (str): Name of namespace
version (Optional[str]): Version to import, if None,
try and get the most recently built version.
Returns:
:class:`types.ModuleType`
"""
# get latest version if None
if version is None:
version = self.available_versions[namespace][-1]
path = self.namespace_path(namespace, version) / "namespace.py"
if not path.exists():
raise ImportError(f"Module has not been built yet {path}")
module_name = self.module_name(namespace, version)
# import module level first - when python does relative imports,
# it needs to have the parent modules imported separately
# this breaks split model creation when they are outside of the
# package repository (ie. loaded from an nwb file) because it tries
# to look for the containing namespace folder within the nwb_linkml package and fails
init_spec = importlib.util.spec_from_file_location(module_name, path.parent / "__init__.py")
init_module = importlib.util.module_from_spec(init_spec)
sys.modules[module_name] = init_module
init_spec.loader.exec_module(init_module)
# then the namespace package
module_name = module_name + ".namespace"
spec = importlib.util.spec_from_file_location(module_name, path)
module = importlib.util.module_from_spec(spec)
sys.modules[module_name] = module
spec.loader.exec_module(module)
return module
def get(
self, namespace: str, version: Optional[str] = None, allow_repo: Optional[bool] = None
) -> ModuleType:
"""
Get the imported module for a given namespace and version.
A given namespace will be stored in :data:`sys.modules` as
``nwb_linkml.models.{namespace}``,
so first check if there is any already-imported module, and return that if so.
Then we check in the temporary directory for an already-built ``namespace.py`` file
Otherwise we pass arguments to :meth:`.PydanticProvider.build` and attempt to build them
before returning.
Notes:
The imported modules shadow the "actual"
``nwb_linkml.models`` module as would be imported from the usual location
within the package directory.
This is intentional, as models can then be used as if they were
integrated parts of the package,
and also so the active version of a namespace can be cleanly accessed
(ie. without ``from nwb_linkml.models.core import v2_2_0 as core`` ).
Accordingly, we assume that people will only be using a single version of NWB in a given
Python session.
Args:
namespace (str): Name of namespace to import. Must have either been previously built
with :meth:`.PydanticProvider.build` or
a matching namespace/version combo must be available to the
:class:`.LinkMLProvider`
version (Optional[str]): Version to import. If ``None``,
get the most recently build module
allow_repo (bool): Allow getting modules provided within
:mod:`nwb_linkml.models.pydantic`
Returns:
The imported :class:`types.ModuleType` object that has all the built
classes at the root level.
"""
if allow_repo is None:
allow_repo = self.allow_repo
if version is None:
version = self.available_versions[namespace][-1]
module_name = self.module_name(namespace, version)
namespace_name = module_name + ".namespace"
if not allow_repo:
self._clear_package_imports()
if namespace_name in sys.modules:
return sys.modules[namespace_name]
try:
path = self.namespace_path(namespace, version, allow_repo)
except FileNotFoundError:
path = None
if path is None or not path.exists():
_ = self.build(namespace, version=version)
module = self.import_module(namespace, version)
return module
@staticmethod
def _clear_package_imports() -> None:
"""
When using allow_repo=False, delete any already-imported
namespaces from sys.modules that are within the nwb_linkml package
"""
# make sure we don't have any in-repo modules
repo_base = Path(__file__).parents[1]
deletes = []
for k, v in sys.modules.items():
if not k.startswith("nwb_linkml.models.pydantic"):
continue
try:
Path(v.__file__).relative_to(repo_base)
# if it is a subpath, delete it
deletes.append(k)
except ValueError:
# path is not a subpath
continue
for d in deletes:
del sys.modules[d]
def get_class(
self, namespace: str, class_: str, version: Optional[str] = None
) -> Type[BaseModel]:
"""
Get a class from a given namespace and version!
Args:
namespace (str): Name of a namespace that has been previously built and cached,
otherwise we will attempt to build it from the
:data:`.providers.git.DEFAULT_REPOS`
class_ (str): Name of class to retrieve
version (Optional[str]): Optional version of the schema to retrieve from
Returns:
:class:`pydantic.BaseModel`
"""
mod = self.get(namespace, version)
return getattr(mod, class_)
class EctopicModelFinder(MetaPathFinder):
"""
A meta path finder that allows the import machinery to find a model
package even if it might be outside the actual nwb_linkml namespace,
as occurs when building split models in a temporary directory.
References:
- https://docs.python.org/3/reference/import.html#the-meta-path
- https://docs.python.org/3/library/importlib.html#importlib.abc.MetaPathFinder
"""
MODEL_STEM = "nwb_linkml.models.pydantic"
def __init__(self, path: Path, *args, **kwargs):
super().__init__(*args, **kwargs)
self.path = path
def find_spec(
self, fullname: str, path: Optional[str], target: Optional[ModuleType] = None
) -> Optional[ModuleSpec]:
"""If we are loading a generated pydantic module, return an importlib spec"""
if not fullname.startswith(self.MODEL_STEM):
return None
else:
# get submodule beneath model stem
submod = fullname.replace(self.MODEL_STEM, "").lstrip(".")
base_path = Path(self.path, *submod.split("."))
# switch if we're asked for a package or a module
mod_path = Path(str(base_path) + ".py")
pkg_path = base_path / "__init__.py"
if mod_path.exists():
import_path = mod_path
elif pkg_path.exists():
import_path = pkg_path
else:
return None
spec = importlib.util.spec_from_file_location(fullname, import_path)
return spec

852
nwb_linkml/src/nwb_linkml/providers/schema.py
View file

@ -42,860 +42,14 @@ so eg. for the linkML and pydantic providers:
""" """
import importlib
import os
import shutil
import sys
from abc import ABC, abstractmethod
from importlib.abc import MetaPathFinder
from importlib.machinery import ModuleSpec
from pathlib import Path from pathlib import Path
from types import ModuleType from types import ModuleType
from typing import Any, Dict, List, Optional, Type, TypedDict, TypeVar from typing import Dict, Optional, Type
from linkml_runtime import SchemaView
from linkml_runtime.dumpers import yaml_dumper
from linkml_runtime.linkml_model import SchemaDefinition, SchemaDefinitionName
from pydantic import BaseModel from pydantic import BaseModel
from nwb_linkml import adapters, io from nwb_linkml import adapters
from nwb_linkml.adapters.adapter import BuildResult from nwb_linkml.providers import LinkMLProvider, Provider, PydanticProvider
from nwb_linkml.config import Config
from nwb_linkml.generators.pydantic import NWBPydanticGenerator
from nwb_linkml.maps.naming import module_case, relative_path, version_module_case
from nwb_linkml.providers.git import DEFAULT_REPOS
from nwb_linkml.ui import AdapterProgress
from nwb_schema_language import Namespaces
P = TypeVar("P")
class Provider(ABC):
"""
Metaclass for different kind of providers!
Args:
path (:class:`pathlib.Path`): Override the temporary directory configured by
the environment-wide :class:`.Config` object as the base directory that the
subclasses provide to.
verbose (bool): If ``True``, print things like progress bars to stdout :)
Attributes:
config (:class:`.Config`): Configuration for the directories used by this
provider, unless overridden by ``path``
allow_repo (bool): Allow the pathfinder to return the installed repository/package,
useful to enforce building into temporary directories, decoupling finding a path
during loading vs. building. Building into the repo is still possible if both
namespace and version are provided (ie. the path is fully qualified) and
:attr:`.config`'s path is the repository path.
cache_dir (:class:`pathlib.Path`): The main cache directory under which the other
providers will store the things they provide
"""
PROVIDES: str
PROVIDES_CLASS: P = None
def __init__(self, path: Optional[Path] = None, allow_repo: bool = True, verbose: bool = True):
config = Config(cache_dir=path) if path is not None else Config()
self.config = config
self.cache_dir = config.cache_dir
self.allow_repo = allow_repo
self.verbose = verbose
@property
@abstractmethod
def path(self) -> Path:
"""
Base path for this kind of provider
"""
@abstractmethod
def build(self, *args: Any) -> P:
"""
Whatever needs to be done to build this thing, if applicable
"""
@abstractmethod
def get(self, *args: Any) -> Any:
"""
Get a cached item.
Optionally, try any build it if it's possible to do so
"""
def namespace_path(
self, namespace: str, version: Optional[str] = None, allow_repo: Optional[bool] = None
) -> Path:
"""
Get the location for a given namespace of this type.
Note that we don't check for existence, because this method should
also be used when generating schema --- this is the canonical location
Arguments:
namespace (str): Namespace to get!
version (str): Optional, version of namespace. If ``None``,
either get the most recent version built, or if
``namespace`` is ``core`` or ``hdmf-common``, use the
modules provided with the package. We do not use the most
recent *version*, but the most recently *generated* version
because it's assumed that's the one you want if you're just
gesturally reaching for one.
allow_repo (bool): Optional - override instance-level ``allow_repo`` attr
"""
if allow_repo is None:
allow_repo = self.allow_repo
namespace_module = module_case(namespace)
namespace_path = self.path / namespace_module
if not namespace_path.exists() and namespace in ("core", "hdmf-common") and allow_repo:
# return builtins
module_path = Path(importlib.util.find_spec("nwb_linkml").origin).parent
if self.PROVIDES == "linkml":
namespace_path = module_path / "schema" / "linkml" / namespace
elif self.PROVIDES == "pydantic":
namespace_path = module_path / "models" / "pydantic" / namespace
if version is not None:
version_path = namespace_path / version_module_case(version)
# version_path.mkdir(exist_ok=True, parents=True)
else:
# or find the most recently built one
versions = sorted(namespace_path.iterdir(), key=os.path.getmtime)
versions = [v for v in versions if v.is_dir() and v.name not in ("__pycache__")]
if len(versions) == 0:
raise FileNotFoundError("No version provided, and no existing schema found")
version_path = versions[-1]
return version_path
@property
def available_versions(self) -> Dict[str, List[str]]:
"""
Dictionary mapping a namespace to a list of built versions
"""
versions = {} # type: Dict[str, List[Path]]
# first get any builtins provided by the package itself
# these get overwritten by
module_path = Path(importlib.util.find_spec("nwb_linkml").origin).parent
builtin_namespaces = []
if self.PROVIDES == "linkml":
namespace_path = module_path / "schema" / "linkml"
builtin_namespaces = list(namespace_path.iterdir())
elif self.PROVIDES == "pydantic":
namespace_path = module_path / "models" / "pydantic"
builtin_namespaces = list(namespace_path.iterdir())
tmp_paths = []
try:
tmp_paths.extend(list(self.path.iterdir()))
if self.PROVIDES == "pydantic":
# we also include versions that we just have the linkml version of
# because they are also available, we just have to build them.
# maybe the semantics of this property are getting overloaded tho
# and we need to separate the maintenance of the temporary directory
# from providing from it
tmp_paths.extend(list(LinkMLProvider(path=self.config.cache_dir).path.iterdir()))
except FileNotFoundError:
# fine, just return the builtins
pass
for ns_dir in builtin_namespaces + tmp_paths:
if not ns_dir.is_dir():
continue
if ns_dir.name not in versions:
versions[ns_dir.name] = []
versions[ns_dir.name].extend([v for v in ns_dir.iterdir() if v.is_dir()])
# flatten out in case we got duplicates between the builtins and cache
res = {
k: [
v.name for v in sorted(set(v_paths), key=os.path.getmtime) if v.name.startswith("v")
]
for k, v_paths in versions.items()
}
return res
class LinkMLSchemaBuild(TypedDict):
"""Build result from :meth:`.LinkMLProvider.build`"""
version: str
namespace: Path
name: str
result: Optional[BuildResult]
class LinkMLProvider(Provider):
"""
Provider for conversions from nwb schema language to linkML.
By default, generate and manage a nest of temporary cache directories
(as configured by :class:`.Config`) for each version of a given namespace.
Like other :class:`.Provider` classes, this model is not a singleton but
behaves a bit like one in that when instantiated without arguments
it is stateless (except for configuration by environment-level variables).
So we don't use ``@classmethod`` s here, but instantiating the class should remain
cheap.
Namespaces can be built from:
* namespace .yaml files: :meth:`.build_from_yaml`
* dictionaries, as are usually packaged in nwb files: :meth:`.build_from_dicts`
All of which feed into...
* :class:`~.adapters.NamespacesAdapter` used throughout the rest of ``nwb_linkml`` -
:meth:`.build`
After a namespace is built, it can be accessed using :meth:`.LinkMLProvider.get`, which
can also be consumed by other providers, so a given namespace and version should only need
to be built once.
Note:
At the moment there is no checking (eg. by comparing hashes) of different sources that
purport to be a given version of a namespace. When ambiguous, the class prefers to
build sets of namespaces together and use the most recently built ones since there is no
formal system for linking versions of namespaced schemas in nwb schema language.
Examples:
.. code-block:: python
provider = LinkMLProvider()
# Simplest case, get the core nwb schema from the default NWB core repo
core = provider.get('core')
# Get a specific version of the core schema
core_other_version = provider.get('core', '2.2.0')
# Build a custom schema and then get it
# provider.build_from_yaml('myschema.yaml')
# my_schema = provider.get('myschema')
"""
PROVIDES = "linkml"
PROVIDES_CLASS = SchemaDefinition
@property
def path(self) -> Path:
"""``linkml_dir`` provided by :class:`.Config`"""
return self.config.linkml_dir
def build_from_yaml(
self, path: Path, **kwargs: dict
) -> Dict[str | SchemaDefinitionName, LinkMLSchemaBuild]:
"""
Build a namespace's schema
Arguments:
path (:class:`pathlib.Path`): Path to the namespace .yaml
kwargs: passed to :meth:`.build`
"""
ns_adapter = adapters.NamespacesAdapter.from_yaml(path)
return self.build(ns_adapter, **kwargs)
def build_from_dicts(
self, schemas: Dict[str, dict], **kwargs: dict
) -> Dict[str | SchemaDefinitionName, LinkMLSchemaBuild]:
"""
Build from schema dictionaries, eg. as come from nwb files
Arguments:
schemas (dict): A dictionary of ``{'schema_name': {:schema_definition}}``.
The "namespace" schema should have the key ``namespace``, which is used
to infer version and schema name. Post-load maps should have already
been applied
"""
ns_adapters = {}
for ns_name, ns_schemas in schemas.items():
ns = Namespaces(**ns_schemas["namespace"])
typed_schemas = [
io.schema.load_schema_file(path=Path(key + ".yaml"), yaml=val)
for key, val in ns_schemas.items()
if key != "namespace"
]
ns_adapter = adapters.NamespacesAdapter(namespaces=ns, schemas=typed_schemas)
ns_adapters[ns_name] = ns_adapter
# get the correct imports
for adapter in ns_adapters.values():
for schema_needs in adapter.needed_imports.values():
for needed in schema_needs:
adapter.imported.append(ns_adapters[needed])
# then do the build
res = {}
for adapter in ns_adapters.values():
res.update(self.build(adapter, **kwargs))
return res
def build(
self,
ns_adapter: adapters.NamespacesAdapter,
versions: Optional[dict] = None,
dump: bool = True,
force: bool = False,
) -> Dict[str | SchemaDefinitionName, LinkMLSchemaBuild]:
"""
Arguments:
namespaces (:class:`.NamespacesAdapter`): Adapter
(populated with any necessary imported namespaces) to build
versions (dict): Dict of specific versions to use
for cross-namespace imports. as ``{'namespace': 'version'}``
If none is provided, use the most recent version
available.
dump (bool): If ``True`` (default), dump generated schema to YAML. otherwise just return
force (bool): If ``False`` (default), don't build schema that already exist.
If ``True`` , clear directory and rebuild
Returns:
Dict[str, LinkMLSchemaBuild]. For normal builds,
:attr:`.LinkMLSchemaBuild.result` will be populated with results
of the build. If ``force == False`` and the schema already exist, it will be ``None``
"""
if not force and all(
[
(self.namespace_path(ns, version) / "namespace.yaml").exists()
for ns, version in ns_adapter.versions.items()
]
):
return {
k: LinkMLSchemaBuild(
name=k,
result=None,
namespace=self.namespace_path(k, v) / "namespace.yaml",
version=v,
)
for k, v in ns_adapter.versions.items()
}
# self._find_imports(ns_adapter, versions, populate=True)
if self.verbose:
progress = AdapterProgress(ns_adapter)
# progress.start()
with progress:
built = ns_adapter.build(progress=progress)
else:
progress = None
built = ns_adapter.build()
# write schemas to yaml files
build_result = {}
namespace_sch = [
sch
for sch in built.schemas
if "is_namespace" in sch.annotations
and sch.annotations["is_namespace"].value in ("True", True)
]
for ns_linkml in namespace_sch:
version = ns_adapter.versions[ns_linkml.name]
version_path = self.namespace_path(ns_linkml.name, version, allow_repo=False)
if version_path.exists() and force:
shutil.rmtree(str(version_path))
version_path.mkdir(exist_ok=True, parents=True)
ns_file = version_path / "namespace.yaml"
# schema built as part of this namespace that aren't the namespace file
other_schema = [
sch
for sch in built.schemas
if sch.name.split(".")[0] == ns_linkml.name and sch not in namespace_sch
]
if force or not ns_file.exists():
ns_linkml = self._fix_schema_imports(ns_linkml, ns_adapter, ns_file)
yaml_dumper.dump(ns_linkml, ns_file)
# write the schemas for this namespace
for sch in other_schema:
output_file = version_path / (sch.name + ".yaml")
# fix the paths for intra-schema imports
sch = self._fix_schema_imports(sch, ns_adapter, output_file)
yaml_dumper.dump(sch, output_file)
# make return result for just this namespace
build_result[ns_linkml.name] = LinkMLSchemaBuild(
namespace=ns_file,
name=ns_linkml.name,
result=BuildResult(schemas=[ns_linkml, *other_schema]),
version=version,
)
return build_result
def _fix_schema_imports(
self, sch: SchemaDefinition, ns_adapter: adapters.NamespacesAdapter, output_file: Path
) -> SchemaDefinition:
for animport in sch.imports:
if animport.split(".")[0] in ns_adapter.versions:
imported_path = (
self.namespace_path(
animport.split(".")[0], ns_adapter.versions[animport.split(".")[0]]
)
/ "namespace"
)
rel_path = relative_path(imported_path, output_file)
if str(rel_path) == "." or str(rel_path) == "namespace":
# same directory, just keep the existing import
continue
idx = sch.imports.index(animport)
del sch.imports[idx]
sch.imports.insert(idx, str(rel_path))
return sch
def get(self, namespace: str, version: Optional[str] = None) -> SchemaView:
"""
Get a schema view over the namespace.
If a matching path for the namespace and version exists in the :attr:`.path`,
then return the SchemaView over that namespace.
Otherwise, try and find a source using our :data:`.providers.git.DEFAULT_REPOS`.
If none is found, then you need to build and cache the (probably custom) schema first with
:meth:`.build`
"""
path = self.namespace_path(namespace, version) / "namespace.yaml"
if not path.exists():
path = self._find_source(namespace, version)
sv = SchemaView(path)
sv.path = path
return sv
def _find_source(self, namespace: str, version: Optional[str] = None) -> Path:
"""Try and find the namespace if it exists in our default repository and build it!"""
ns_repo = DEFAULT_REPOS.get(namespace, None)
if ns_repo is None:
raise KeyError(
f"Namespace {namespace} could not be found, and no git repository source has been"
" configured!"
)
ns_file = ns_repo.provide_from_git(commit=version)
res = self.build_from_yaml(ns_file)
return res[namespace]["namespace"]
class PydanticProvider(Provider):
"""
Provider for pydantic models built from linkml-style nwb schema
(ie. as provided by :class:`.LinkMLProvider`)
"""
PROVIDES = "pydantic"
def __init__(self, path: Optional[Path] = None, verbose: bool = True):
super().__init__(path, verbose)
# create a metapathfinder to find module we might create
pathfinder = EctopicModelFinder(self.path)
sys.meta_path.append(pathfinder)
@property
def path(self) -> Path:
"""``pydantic_dir`` provided by :class:`.Config`"""
return self.config.pydantic_dir
def build(
self,
namespace: str | Path,
out_file: Optional[Path] = None,
version: Optional[str] = None,
versions: Optional[dict] = None,
split: bool = True,
dump: bool = True,
force: bool = False,
**kwargs: dict,
) -> str | List[str]:
"""
Notes:
We currently infer namespace and version from the path when ``namespace`` is a Path,
which is a patently Bad Thing To Do. This is a temporary measure until we decide on
a permanent means by which we want to cache built artifacts <3. Hierarchies of folders
is not the target design.
Args:
namespace (Union[str, :class:`pathlib.Path`]): If a string, use a
:class:`.LinkMLProvider` to get the converted schema. If a path,
assume we have been given an explicit ``namespace.yaml`` from a converted
NWB -> LinkML schema to load from.
out_file (Optional[Path]): Optionally override the output file. If ``None``,
generate from namespace and version
version (Optional[str]): The version of the schema to build, if present.
Works similarly to ``version`` in :class:`.LinkMLProvider`.
Ignored if ``namespace`` is a Path.
versions (Optional[dict]): An explicit mapping of namespaces and versions to use when
building the combined pydantic `namespace.py` file.
Since NWB doesn't have an explicit version dependency system between schema,
there is intrinsic ambiguity between which version
of which schema should be used when imported from another.
This mapping allows those ambiguities to be resolved.
See :class:`.NWBPydanticGenerator` 's ``versions`` argument for more information.
split (bool): If ``False`` (default), generate a single ``namespace.py`` file,
otherwise generate a python file for each schema in the namespace
in addition to a ``namespace.py`` that imports from them
dump (bool): If ``True`` (default), dump the model to the cache,
otherwise just return the serialized string of built pydantic model
force (bool): If ``False`` (default), don't build the model if it already exists,
if ``True`` , delete and rebuild any model
**kwargs: Passed to :class:`.NWBPydanticGenerator`
Returns:
str: The built model file as returned from :meth:`.NWBPydanticGenerator.serialize`
"""
if isinstance(namespace, str) and not (
namespace.endswith(".yaml") or namespace.endswith(".yml")
):
# we're given a name of a namespace to build
name = namespace
path = (
LinkMLProvider(path=self.config.cache_dir).namespace_path(namespace, version)
/ "namespace.yaml"
)
if version is None:
# Get the most recently built version
version = LinkMLProvider(path=self.config.cache_dir).available_versions[name][-1]
fn = path.parts[-1]
else:
# given a path to a namespace linkml yaml file
path = Path(namespace)
# FIXME: this is extremely fragile, but get the details from the path.
# this is faster than reading yaml for now
name = path.parts[-3]
version = path.parts[-2]
fn = path.parts[-1]
version = version_module_case(version)
# this is extremely fragile, we should not be inferring version number from paths...
if out_file is None:
fn = fn.removesuffix(".yaml")
fn = module_case(fn) + ".py"
out_file = self.path / name / version / fn
default_kwargs = {
"split": split,
"emit_metadata": True,
"gen_slots": True,
"pydantic_version": "2",
}
default_kwargs.update(kwargs)
# if we weren't given explicit versions to load, figure them out from the namespace
if versions is None:
versions = self._get_dependent_versions(path)
if split:
return self._build_split(path, versions, default_kwargs, dump, out_file, force)
else:
return self._build_unsplit(path, versions, default_kwargs, dump, out_file, force)
def _build_unsplit(
self,
path: Path,
versions: dict,
default_kwargs: dict,
dump: bool,
out_file: Path,
force: bool,
) -> Optional[str]:
if out_file.exists() and not force:
with open(out_file) as ofile:
serialized = ofile.read()
return serialized
generator = NWBPydanticGenerator(str(path), versions=versions, **default_kwargs)
serialized = generator.serialize()
if dump:
out_file.parent.mkdir(parents=True, exist_ok=True)
with open(out_file, "w") as ofile:
ofile.write(serialized)
# make initfiles for this directory and parent,
initfile = out_file.parent / "__init__.py"
parent_init = out_file.parent.parent / "__init__.py"
for ifile in (initfile, parent_init):
if not ifile.exists():
with open(ifile, "w") as ifile_open:
ifile_open.write(" ")
return serialized
def _build_split(
self,
path: Path,
versions: dict,
default_kwargs: dict,
dump: bool,
out_file: Path,
force: bool,
) -> List[str]:
serialized = []
for schema_file in path.parent.glob("*.yaml"):
this_out = out_file.parent / (module_case(schema_file.stem) + ".py")
serialized.append(
self._build_unsplit(schema_file, versions, default_kwargs, dump, this_out, force)
)
# If there are dependent versions that also need to be built, do that now!
needed = [
(module_case(ns), version_module_case(version))
for ns, version in versions.items()
if version_module_case(version) not in self.available_versions.get(ns, [])
]
for needs in needed:
needed_path = path.parents[2] / needs[0] / needs[1] / "namespace.yaml"
out_file_stem = out_file.parents[2] / needs[0] / needs[1]
for schema_file in needed_path.parent.glob("*.yaml"):
this_out = out_file_stem / (module_case(schema_file.stem) + ".py")
serialized.append(
self._build_unsplit(
schema_file, versions, default_kwargs, dump, this_out, force
)
)
return serialized
def _get_dependent_versions(self, path: Path) -> dict[str, str]:
"""
For a given namespace schema file, get the versions of any other schemas it imports
Namespace imports will be in the importing schema like:
imports:
-../../hdmf_common/v1_8_0/namespace
-../../hdmf_experimental/v0_5_0/namespace
Returns:
dict[str,str]: A dictionary mapping a namespace to a version number
"""
schema = io.schema.load_yaml(path)
versions = {}
for i in schema["imports"]:
if i.startswith(".."):
import_path = (Path(path).parent / Path(i + ".yaml")).resolve()
imported_schema = io.schema.load_yaml(import_path)
versions[imported_schema["name"]] = imported_schema["version"]
return versions
@classmethod
def module_name(self, namespace: str, version: str) -> str:
"""Module name for the built module
e.g.::
nwb_linkml.models.pydantic.{namespace}.{version}
"""
name_pieces = [
"nwb_linkml",
"models",
"pydantic",
module_case(namespace),
version_module_case(version),
]
module_name = ".".join(name_pieces)
return module_name
def import_module(self, namespace: str, version: Optional[str] = None) -> ModuleType:
"""
Import a module within the temporary directory from its namespace and version
In most cases, you're looking for :meth:`.PydanticProvider.get`, this method is
made available in case you don't want to accidentally build something
or invoke the rest of the provisioning system.
Args:
namespace (str): Name of namespace
version (Optional[str]): Version to import, if None,
try and get the most recently built version.
Returns:
:class:`types.ModuleType`
"""
# get latest version if None
if version is None:
version = self.available_versions[namespace][-1]
path = self.namespace_path(namespace, version) / "namespace.py"
if not path.exists():
raise ImportError(f"Module has not been built yet {path}")
module_name = self.module_name(namespace, version)
# import module level first - when python does relative imports,
# it needs to have the parent modules imported separately
# this breaks split model creation when they are outside of the
# package repository (ie. loaded from an nwb file) because it tries
# to look for the containing namespace folder within the nwb_linkml package and fails
init_spec = importlib.util.spec_from_file_location(module_name, path.parent / "__init__.py")
init_module = importlib.util.module_from_spec(init_spec)
sys.modules[module_name] = init_module
init_spec.loader.exec_module(init_module)
# then the namespace package
module_name = module_name + ".namespace"
spec = importlib.util.spec_from_file_location(module_name, path)
module = importlib.util.module_from_spec(spec)
sys.modules[module_name] = module
spec.loader.exec_module(module)
return module
def get(
self, namespace: str, version: Optional[str] = None, allow_repo: Optional[bool] = None
) -> ModuleType:
"""
Get the imported module for a given namespace and version.
A given namespace will be stored in :data:`sys.modules` as
``nwb_linkml.models.{namespace}``,
so first check if there is any already-imported module, and return that if so.
Then we check in the temporary directory for an already-built ``namespace.py`` file
Otherwise we pass arguments to :meth:`.PydanticProvider.build` and attempt to build them
before returning.
Notes:
The imported modules shadow the "actual"
``nwb_linkml.models`` module as would be imported from the usual location
within the package directory.
This is intentional, as models can then be used as if they were
integrated parts of the package,
and also so the active version of a namespace can be cleanly accessed
(ie. without ``from nwb_linkml.models.core import v2_2_0 as core`` ).
Accordingly, we assume that people will only be using a single version of NWB in a given
Python session.
Args:
namespace (str): Name of namespace to import. Must have either been previously built
with :meth:`.PydanticProvider.build` or
a matching namespace/version combo must be available to the
:class:`.LinkMLProvider`
version (Optional[str]): Version to import. If ``None``,
get the most recently build module
allow_repo (bool): Allow getting modules provided within
:mod:`nwb_linkml.models.pydantic`
Returns:
The imported :class:`types.ModuleType` object that has all the built
classes at the root level.
"""
if allow_repo is None:
allow_repo = self.allow_repo
if version is None:
version = self.available_versions[namespace][-1]
module_name = self.module_name(namespace, version)
namespace_name = module_name + ".namespace"
if not allow_repo:
self._clear_package_imports()
if namespace_name in sys.modules:
return sys.modules[namespace_name]
try:
path = self.namespace_path(namespace, version, allow_repo)
except FileNotFoundError:
path = None
if path is None or not path.exists():
_ = self.build(namespace, version=version)
module = self.import_module(namespace, version)
return module
@staticmethod
def _clear_package_imports() -> None:
"""
When using allow_repo=False, delete any already-imported
namespaces from sys.modules that are within the nwb_linkml package
"""
# make sure we don't have any in-repo modules
repo_base = Path(__file__).parents[1]
deletes = []
for k, v in sys.modules.items():
if not k.startswith("nwb_linkml.models.pydantic"):
continue
try:
Path(v.__file__).relative_to(repo_base)
# if it is a subpath, delete it
deletes.append(k)
except ValueError:
# path is not a subpath
continue
for d in deletes:
del sys.modules[d]
def get_class(
self, namespace: str, class_: str, version: Optional[str] = None
) -> Type[BaseModel]:
"""
Get a class from a given namespace and version!
Args:
namespace (str): Name of a namespace that has been previously built and cached,
otherwise we will attempt to build it from the
:data:`.providers.git.DEFAULT_REPOS`
class_ (str): Name of class to retrieve
version (Optional[str]): Optional version of the schema to retrieve from
Returns:
:class:`pydantic.BaseModel`
"""
mod = self.get(namespace, version)
return getattr(mod, class_)
class EctopicModelFinder(MetaPathFinder):
"""
A meta path finder that allows the import machinery to find a model
package even if it might be outside the actual nwb_linkml namespace,
as occurs when building split models in a temporary directory.
References:
- https://docs.python.org/3/reference/import.html#the-meta-path
- https://docs.python.org/3/library/importlib.html#importlib.abc.MetaPathFinder
"""
MODEL_STEM = "nwb_linkml.models.pydantic"
def __init__(self, path: Path, *args, **kwargs):
super().__init__(*args, **kwargs)
self.path = path
def find_spec(
self, fullname: str, path: Optional[str], target: Optional[ModuleType] = None
) -> Optional[ModuleSpec]:
"""If we are loading a generated pydantic module, return an importlib spec"""
if not fullname.startswith(self.MODEL_STEM):
return None
else:
# get submodule beneath model stem
submod = fullname.replace(self.MODEL_STEM, "").lstrip(".")
base_path = Path(self.path, *submod.split("."))
# switch if we're asked for a package or a module
mod_path = Path(str(base_path) + ".py")
pkg_path = base_path / "__init__.py"
if mod_path.exists():
import_path = mod_path
elif pkg_path.exists():
import_path = pkg_path
else:
return None
spec = importlib.util.spec_from_file_location(fullname, import_path)
return spec
class SchemaProvider(Provider): class SchemaProvider(Provider):

2
nwb_linkml/tests/test_providers/test_provider_schema.py
View file

@ -8,8 +8,8 @@ from nptyping import Shape, UByte
import nwb_linkml import nwb_linkml
from nwb_linkml.maps.naming import version_module_case from nwb_linkml.maps.naming import version_module_case
from nwb_linkml.providers import LinkMLProvider, PydanticProvider
from nwb_linkml.providers.git import DEFAULT_REPOS from nwb_linkml.providers.git import DEFAULT_REPOS
from nwb_linkml.providers.schema import LinkMLProvider, PydanticProvider
from nwb_linkml.types.ndarray import NDArray from nwb_linkml.types.ndarray import NDArray
CORE_MODULES = ( CORE_MODULES = (

2
scripts/generate_core.py
View file

@ -13,7 +13,7 @@ from rich.progress import Progress, SpinnerColumn, BarColumn, TextColumn, Column
from rich import print from rich import print
from nwb_linkml.generators.pydantic import NWBPydanticGenerator from nwb_linkml.generators.pydantic import NWBPydanticGenerator
from nwb_linkml.providers.schema import LinkMLProvider, PydanticProvider from nwb_linkml.providers import LinkMLProvider, PydanticProvider
from nwb_linkml.providers.git import NWB_CORE_REPO, GitRepo from nwb_linkml.providers.git import NWB_CORE_REPO, GitRepo
from nwb_linkml.io import schema as io from nwb_linkml.io import schema as io