Updates for pydantic v2

ci/environment-docs.yml

@@ -14,7 +14,7 @@ dependencies:
   - myst-nb
   - netcdf4!=1.6.1
   - pip
-  - pydantic>=1.9
+  - pydantic>=2.0
   - python-graphviz
   - python=3.11
   - s3fs >=2023.05
@@ -27,6 +27,6 @@ dependencies:
   - zarr>=2.12
   - furo>=2022.09.15
   - pip:
+      - git+https://github.com/ncar-xdev/ecgtools
       - sphinxext-opengraph
-      - autodoc_pydantic
       - -e ..

ci/environment-upstream-dev.yml

@@ -18,7 +18,7 @@ dependencies:
   - pooch
   - pre-commit
   - psutil
-  - pydantic>=1.9
+  - pydantic>=2.0
   - pydap
   - pyproj
   - pytest

ci/environment.yml

@@ -16,7 +16,7 @@ dependencies:
   - pip
   - pooch
   - pre-commit
-  - pydantic>=1.9
+  - pydantic>=2.0
   - pydap
   - pytest
   - pytest-cov

docs/source/conf.py

@@ -16,7 +16,6 @@
     'myst_nb',
     'sphinxext.opengraph',
     'sphinx_copybutton',
-    'sphinxcontrib.autodoc_pydantic',
     'sphinx_design',
 ]
 
@@ -29,9 +28,6 @@
 copybutton_prompt_text = r'>>> |\.\.\. |\$ |In \[\d*\]: | {2,5}\.\.\.: | {5,8}: '
 copybutton_prompt_is_regexp = True
 
-autodoc_pydantic_model_show_json = True
-autodoc_pydantic_model_show_config = False
-
 nb_execution_mode = 'cache'
 nb_execution_timeout = 600
 nb_execution_raise_on_error = True

docs/source/reference/api.md

@@ -24,13 +24,19 @@ For more details and examples, refer to the relevant chapters in the main part o
 ## ESM Catalog
 
 ```{eval-rst}
-.. autopydantic_model:: intake_esm.cat.ESMCatalogModel
+.. autoclass:: intake_esm.cat.ESMCatalogModel
+    :members:
+    :noindex:
+    :special-members: __init__
 ```
 
 ## Query Model
 
 ```{eval-rst}
-.. autopydantic_model:: intake_esm.cat.QueryModel
+.. autoclass:: intake_esm.cat.QueryModel
+    :members:
+    :noindex:
+    :special-members: __init__
 ```
 
 ## Derived Variable Registry

intake_esm/cat.py

@@ -9,6 +9,7 @@
 import pandas as pd
 import pydantic
 import tlz
+from pydantic import ConfigDict
 
 from ._search import search, search_apply_require_all_on
 
@@ -40,9 +41,7 @@ class AggregationType(str, enum.Enum):
     join_existing = 'join_existing'
     union = 'union'
 
-    class Config:
-        validate_all = True
-        validate_assignment = True
+    model_config = ConfigDict(validate_default=True, validate_assignment=True)
 
 
 class DataFormat(str, enum.Enum):
@@ -51,57 +50,47 @@ class DataFormat(str, enum.Enum):
     reference = 'reference'
     opendap = 'opendap'
 
-    class Config:
-        validate_all = True
-        validate_assignment = True
+    model_config = ConfigDict(validate_default=True, validate_assignment=True)
 
 
 class Attribute(pydantic.BaseModel):
     column_name: pydantic.StrictStr
     vocabulary: pydantic.StrictStr = ''
 
-    class Config:
-        validate_all = True
-        validate_assignment = True
+    model_config = ConfigDict(validate_default=True, validate_assignment=True)
 
 
 class Assets(pydantic.BaseModel):
     column_name: pydantic.StrictStr
-    format: typing.Optional[DataFormat]
-    format_column_name: typing.Optional[pydantic.StrictStr]
+    format: typing.Optional[DataFormat] = None
+    format_column_name: typing.Optional[pydantic.StrictStr] = None
 
-    class Config:
-        validate_all = True
-        validate_assignment = True
+    model_config = ConfigDict(validate_default=True, validate_assignment=True)
 
-    @pydantic.root_validator
-    def _validate_data_format(cls, values):
-        data_format, format_column_name = values.get('format'), values.get('format_column_name')
+    @pydantic.model_validator(mode='after')
+    def _validate_data_format(cls, model):
+        data_format, format_column_name = model.format, model.format_column_name
         if data_format is not None and format_column_name is not None:
             raise ValueError('Cannot set both format and format_column_name')
         elif data_format is None and format_column_name is None:
             raise ValueError('Must set one of format or format_column_name')
-        return values
+        return model
 
 
 class Aggregation(pydantic.BaseModel):
     type: AggregationType
     attribute_name: pydantic.StrictStr
-    options: typing.Optional[dict] = {}
+    options: dict = {}
 
-    class Config:
-        validate_all = True
-        validate_assignment = True
+    model_config = ConfigDict(validate_default=True, validate_assignment=True)
 
 
 class AggregationControl(pydantic.BaseModel):
     variable_column_name: pydantic.StrictStr
     groupby_attrs: list[pydantic.StrictStr]
     aggregations: list[Aggregation] = []
 
-    class Config:
-        validate_all = True
-        validate_assignment = True
+    model_config = ConfigDict(validate_default=True, validate_assignment=True)
 
 
 class ESMCatalogModel(pydantic.BaseModel):
@@ -113,35 +102,33 @@ class ESMCatalogModel(pydantic.BaseModel):
     attributes: list[Attribute]
     assets: Assets
     aggregation_control: typing.Optional[AggregationControl] = None
-    id: typing.Optional[str] = ''
+    id: str = ''
     catalog_dict: typing.Optional[list[dict]] = None
-    catalog_file: pydantic.StrictStr = None
-    description: pydantic.StrictStr = None
-    title: pydantic.StrictStr = None
+    catalog_file: typing.Optional[pydantic.StrictStr] = None
+    description: typing.Optional[pydantic.StrictStr] = None
+    title: typing.Optional[pydantic.StrictStr] = None
     last_updated: typing.Optional[typing.Union[datetime.datetime, datetime.date]] = None
-    _df: typing.Optional[pd.DataFrame] = pydantic.PrivateAttr()
+    _df: pd.DataFrame = pydantic.PrivateAttr()
 
-    class Config:
-        arbitrary_types_allowed = True
-        underscore_attrs_are_private = True
-        validate_all = True
-        validate_assignment = True
+    model_config = ConfigDict(
+        arbitrary_types_allowed=True, validate_default=True, validate_assignment=True
+    )
 
-    @pydantic.root_validator
-    def validate_catalog(cls, values):
-        catalog_dict, catalog_file = values.get('catalog_dict'), values.get('catalog_file')
+    @pydantic.model_validator(mode='after')
+    def validate_catalog(cls, model):
+        catalog_dict, catalog_file = model.catalog_dict, model.catalog_file
         if catalog_dict is not None and catalog_file is not None:
             raise ValueError('catalog_dict and catalog_file cannot be set at the same time')
 
-        return values
+        return model
 
     @classmethod
     def from_dict(cls, data: dict) -> 'ESMCatalogModel':
         esmcat = data['esmcat']
         df = data['df']
         if 'last_updated' not in esmcat:
             esmcat['last_updated'] = None
-        cat = cls.parse_obj(esmcat)
+        cat = cls.model_validate(esmcat)
         cat._df = df
         return cat
 
@@ -254,7 +241,7 @@ def load(
             data = json.loads(fobj.read())
             if 'last_updated' not in data:
                 data['last_updated'] = None
-            cat = cls.parse_obj(data)
+            cat = cls.model_validate(data)
             if cat.catalog_file:
                 if _mapper.fs.exists(cat.catalog_file):
                     csv_path = cat.catalog_file
@@ -417,32 +404,32 @@ class QueryModel(pydantic.BaseModel):
 
     query: dict[pydantic.StrictStr, typing.Union[typing.Any, list[typing.Any]]]
     columns: list[str]
-    require_all_on: typing.Union[str, list[typing.Any]] = None
+    require_all_on: typing.Optional[typing.Union[str, list[typing.Any]]] = None
 
-    class Config:
-        validate_all = True
-        validate_assignment = True
+    # TODO: Seem to be unable to modify fields in model_validator with
+    # validate_assignment=True since it leads to recursion
+    model_config = ConfigDict(validate_default=True, validate_assignment=False)
 
-    @pydantic.root_validator(pre=False)
-    def validate_query(cls, values):
-        query = values.get('query', {})
-        columns = values.get('columns')
-        require_all_on = values.get('require_all_on', [])
+    @pydantic.model_validator(mode='after')
+    def validate_query(cls, model):
+        query = model.query
+        columns = model.columns
+        require_all_on = model.require_all_on
 
         if query:
             for key in query:
                 if key not in columns:
                     raise ValueError(f'Column {key} not in columns {columns}')
         if isinstance(require_all_on, str):
-            values['require_all_on'] = [require_all_on]
+            model.require_all_on = [require_all_on]
         if require_all_on is not None:
-            for key in values['require_all_on']:
+            for key in model.require_all_on:
                 if key not in columns:
                     raise ValueError(f'Column {key} not in columns {columns}')
         _query = query.copy()
         for key, value in _query.items():
             if isinstance(value, (str, int, float, bool)) or value is None or value is pd.NA:
                 _query[key] = [value]
 
-        values['query'] = _query
-        return values
+        model.query = _query
+        return model

intake_esm/core.py

@@ -329,7 +329,11 @@ def _ipython_key_completions_(self):
         return self.__dir__()
 
     @pydantic.validate_arguments
-    def search(self, require_all_on: typing.Union[str, list[str]] = None, **query: typing.Any):
+    def search(
+        self,
+        require_all_on: typing.Optional[typing.Union[str, list[str]]] = None,
+        **query: typing.Any,
+    ):
         """Search for entries in the catalog.
 
         Parameters
@@ -443,11 +447,11 @@ def search(self, require_all_on: typing.Union[str, list[str]] = None, **query: t
     def serialize(
         self,
         name: pydantic.StrictStr,
-        directory: typing.Union[pydantic.DirectoryPath, pydantic.StrictStr] = None,
+        directory: typing.Optional[typing.Union[pydantic.DirectoryPath, pydantic.StrictStr]] = None,
         catalog_type: str = 'dict',
-        to_csv_kwargs: dict[typing.Any, typing.Any] = None,
-        json_dump_kwargs: dict[typing.Any, typing.Any] = None,
-        storage_options: dict[str, typing.Any] = None,
+        to_csv_kwargs: typing.Optional[dict[typing.Any, typing.Any]] = None,
+        json_dump_kwargs: typing.Optional[dict[typing.Any, typing.Any]] = None,
+        storage_options: typing.Optional[dict[str, typing.Any]] = None,
     ) -> None:
         """Serialize catalog to corresponding json and csv files.
 
@@ -536,12 +540,12 @@ def unique(self) -> pd.Series:
     @pydantic.validate_arguments
     def to_dataset_dict(
         self,
-        xarray_open_kwargs: dict[str, typing.Any] = None,
-        xarray_combine_by_coords_kwargs: dict[str, typing.Any] = None,
-        preprocess: typing.Callable = None,
-        storage_options: dict[pydantic.StrictStr, typing.Any] = None,
-        progressbar: pydantic.StrictBool = None,
-        aggregate: pydantic.StrictBool = None,
+        xarray_open_kwargs: typing.Optional[dict[str, typing.Any]] = None,
+        xarray_combine_by_coords_kwargs: typing.Optional[dict[str, typing.Any]] = None,
+        preprocess: typing.Optional[typing.Callable] = None,
+        storage_options: typing.Optional[dict[pydantic.StrictStr, typing.Any]] = None,
+        progressbar: typing.Optional[pydantic.StrictBool] = None,
+        aggregate: typing.Optional[pydantic.StrictBool] = None,
         skip_on_error: pydantic.StrictBool = False,
         **kwargs,
     ) -> dict[str, xr.Dataset]:
@@ -686,12 +690,12 @@ def to_dataset_dict(
     @pydantic.validate_arguments
     def to_datatree(
         self,
-        xarray_open_kwargs: dict[str, typing.Any] = None,
-        xarray_combine_by_coords_kwargs: dict[str, typing.Any] = None,
-        preprocess: typing.Callable = None,
-        storage_options: dict[pydantic.StrictStr, typing.Any] = None,
-        progressbar: pydantic.StrictBool = None,
-        aggregate: pydantic.StrictBool = None,
+        xarray_open_kwargs: typing.Optional[dict[str, typing.Any]] = None,
+        xarray_combine_by_coords_kwargs: typing.Optional[dict[str, typing.Any]] = None,
+        preprocess: typing.Optional[typing.Callable] = None,
+        storage_options: typing.Optional[dict[pydantic.StrictStr, typing.Any]] = None,
+        progressbar: typing.Optional[pydantic.StrictBool] = None,
+        aggregate: typing.Optional[pydantic.StrictBool] = None,
         skip_on_error: pydantic.StrictBool = False,
         **kwargs,
     ):

intake_esm/derived.py

@@ -17,7 +17,7 @@ class DerivedVariable(pydantic.BaseModel):
     query: dict[pydantic.StrictStr, typing.Union[typing.Any, list[typing.Any]]]
     prefer_derived: bool
 
-    @pydantic.validator('query')
+    @pydantic.field_validator('query')
     def validate_query(cls, values):
         _query = values.copy()
         for key, value in _query.items():
@@ -46,7 +46,7 @@ def __call__(self, *args, variable_key_name: str = None, **kwargs) -> xr.Dataset
 class DerivedVariableRegistry:
     """Registry of derived variables"""
 
-    def __post_init_post_parse__(self):
+    def __post_init__(self):
         self._registry = {}
 
     @classmethod

intake_esm/source.py

@@ -136,12 +136,12 @@ def __init__(
         *,
         variable_column_name: typing.Optional[pydantic.StrictStr] = None,
         aggregations: typing.Optional[list[Aggregation]] = None,
-        requested_variables: list[str] = None,
-        preprocess: typing.Callable = None,
-        storage_options: dict[str, typing.Any] = None,
-        xarray_open_kwargs: dict[str, typing.Any] = None,
-        xarray_combine_by_coords_kwargs: dict[str, typing.Any] = None,
-        intake_kwargs: dict[str, typing.Any] = None,
+        requested_variables: typing.Optional[list[str]] = None,
+        preprocess: typing.Optional[typing.Callable] = None,
+        storage_options: typing.Optional[dict[str, typing.Any]] = None,
+        xarray_open_kwargs: typing.Optional[dict[str, typing.Any]] = None,
+        xarray_combine_by_coords_kwargs: typing.Optional[dict[str, typing.Any]] = None,
+        intake_kwargs: typing.Optional[dict[str, typing.Any]] = None,
     ):
         """An intake compatible Data Source for ESM data.
 

requirements.txt

@@ -6,4 +6,4 @@ netCDF4>=1.5.5
 requests>=2.24.0
 xarray>=2022.06
 zarr>=2.12
-pydantic>=1.9
+pydantic>=2.0