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"^2.0" +pydantic-settings = "^2.0.3" exceptiongroup = "^1.0.4" structlog = "^23.2.0" # other dataframes to convert to dataresource format diff --git a/src/dx/filtering.py b/src/dx/filtering.py index 96503bb2..ecae943e 100644 --- a/src/dx/filtering.py +++ b/src/dx/filtering.py @@ -31,7 +31,7 @@ def store_sample_to_history(df: pd.DataFrame, display_id: str, filters: list) -> sample_time = pd.Timestamp("now").strftime(settings.DATETIME_STRING_FORMAT) # convert from FilterTypes to dicts - dex_filters = [dex_filter.dict() for dex_filter in filters] + dex_filters = [dex_filter.model_dump() for dex_filter in filters] sample = { "sampling_time": sample_time, "filters": dex_filters, diff --git a/src/dx/formatters/enhanced.py b/src/dx/formatters/enhanced.py index 98a76639..d5b4d30c 100644 --- a/src/dx/formatters/enhanced.py +++ b/src/dx/formatters/enhanced.py @@ -3,10 +3,11 @@ from IPython import get_ipython from IPython.core.interactiveshell import InteractiveShell -from pydantic import BaseSettings, Field +from pydantic import Field from dx.formatters.main import DEFAULT_IPYTHON_DISPLAY_FORMATTER, DXDisplayFormatter from dx.settings import get_settings +from pydantic_settings import BaseSettings, SettingsConfigDict settings = get_settings() @@ -15,17 +16,16 @@ class DXSettings(BaseSettings): DX_DISPLAY_MAX_ROWS: int = 50_000 DX_DISPLAY_MAX_COLUMNS: int = 50 DX_MAX_STRING_LENGTH: int = 250 - DX_HTML_TABLE_SCHEMA: bool = Field(True, allow_mutation=False) - DX_MEDIA_TYPE: str = Field("application/vnd.dex.v1+json", allow_mutation=False) + DX_HTML_TABLE_SCHEMA: bool = Field(True, frozen=True) + DX_MEDIA_TYPE: str = Field("application/vnd.dex.v1+json", frozen=True) DX_FLATTEN_INDEX_VALUES: bool = False DX_FLATTEN_COLUMN_VALUES: bool = True DX_STRINGIFY_INDEX_VALUES: bool = False DX_STRINGIFY_COLUMN_VALUES: bool = True - - class Config: - validate_assignment = True # we need this to enforce `allow_mutation` - json_encoders = {type: lambda t: str(t)} + # TODO[pydantic]: The following keys were removed: `json_encoders`. + # Check https://docs.pydantic.dev/dev-v2/migration/#changes-to-config for more information. + model_config = SettingsConfigDict(validate_assignment=True, json_encoders={type: lambda t: str(t)}) @lru_cache diff --git a/src/dx/formatters/plain.py b/src/dx/formatters/plain.py index ad164ba8..51948703 100644 --- a/src/dx/formatters/plain.py +++ b/src/dx/formatters/plain.py @@ -6,10 +6,11 @@ import structlog from IPython import get_ipython from IPython.core.interactiveshell import InteractiveShell -from pydantic import BaseSettings, Field +from pydantic import Field from dx.formatters.main import DEFAULT_IPYTHON_DISPLAY_FORMATTER from dx.settings import get_settings +from pydantic_settings import BaseSettings, SettingsConfigDict logger = structlog.get_logger(__name__) settings = get_settings() @@ -22,12 +23,11 @@ class PandasSettings(BaseSettings): PANDAS_DISPLAY_MAX_ROWS: int = 60 PANDAS_DISPLAY_MAX_COLUMNS: int = 20 PANDAS_MAX_STRING_LENGTH: int = 50 - PANDAS_HTML_TABLE_SCHEMA: bool = Field(False, allow_mutation=False) - PANDAS_MEDIA_TYPE: str = Field("application/vnd.dataresource+json", allow_mutation=False) - - class Config: - validate_assignment = True # we need this to enforce `allow_mutation` - json_encoders = {type: lambda t: str(t)} + PANDAS_HTML_TABLE_SCHEMA: bool = Field(False, frozen=True) + PANDAS_MEDIA_TYPE: str = Field("application/vnd.dataresource+json", frozen=True) + # TODO[pydantic]: The following keys were removed: `json_encoders`. + # Check https://docs.pydantic.dev/dev-v2/migration/#changes-to-config for more information. + model_config = SettingsConfigDict(validate_assignment=True, json_encoders={type: lambda t: str(t)}) @lru_cache diff --git a/src/dx/formatters/simple.py b/src/dx/formatters/simple.py index 2388ecf3..d9187a05 100644 --- a/src/dx/formatters/simple.py +++ b/src/dx/formatters/simple.py @@ -3,10 +3,11 @@ from IPython import get_ipython from IPython.core.interactiveshell import InteractiveShell -from pydantic import BaseSettings, Field +from pydantic import Field from dx.formatters.main import DEFAULT_IPYTHON_DISPLAY_FORMATTER, DXDisplayFormatter from dx.settings import get_settings +from pydantic_settings import BaseSettings, SettingsConfigDict settings = get_settings() @@ -16,17 +17,16 @@ class DataResourceSettings(BaseSettings): DATARESOURCE_DISPLAY_MAX_ROWS: int = 50_000 DATARESOURCE_DISPLAY_MAX_COLUMNS: int = 50 DATARESOURCE_MAX_STRING_LENGTH: int = 250 - DATARESOURCE_HTML_TABLE_SCHEMA: bool = Field(True, allow_mutation=False) - DATARESOURCE_MEDIA_TYPE: str = Field("application/vnd.dataresource+json", allow_mutation=False) + DATARESOURCE_HTML_TABLE_SCHEMA: bool = Field(True, frozen=True) + DATARESOURCE_MEDIA_TYPE: str = Field("application/vnd.dataresource+json", frozen=True) DATARESOURCE_FLATTEN_INDEX_VALUES: bool = False DATARESOURCE_FLATTEN_COLUMN_VALUES: bool = True DATARESOURCE_STRINGIFY_INDEX_VALUES: bool = False DATARESOURCE_STRINGIFY_COLUMN_VALUES: bool = True - - class Config: - validate_assignment = True # we need this to enforce `allow_mutation` - json_encoders = {type: lambda t: str(t)} + # TODO[pydantic]: The following keys were removed: `json_encoders`. + # Check https://docs.pydantic.dev/dev-v2/migration/#changes-to-config for more information. + model_config = SettingsConfigDict(validate_assignment=True, json_encoders={type: lambda t: str(t)}) @lru_cache diff --git a/src/dx/settings.py b/src/dx/settings.py index 3b0f58c7..829ed276 100644 --- a/src/dx/settings.py +++ b/src/dx/settings.py @@ -7,7 +7,8 @@ import structlog from IPython.core.interactiveshell import InteractiveShell from pandas import set_option as pandas_set_option -from pydantic import BaseSettings, validator +from pydantic import validator +from pydantic_settings import BaseSettings, SettingsConfigDict from dx.dependencies import get_default_renderable_types from dx.types.main import DXDisplayMode, DXSamplingMethod @@ -61,6 +62,8 @@ class Settings(BaseSettings): NUM_PAST_SAMPLES_TRACKED: int = 3 DB_LOCATION: str = ":memory:" + # TODO[pydantic]: We couldn't refactor the `validator`, please replace it by `field_validator` manually. + # Check https://docs.pydantic.dev/dev-v2/migration/#changes-to-validators for more information. @validator("RENDERABLE_TYPES", pre=True, always=True) def validate_renderables(cls, vals): """Allow passing comma-separated strings or actual types.""" @@ -82,6 +85,8 @@ def validate_renderables(cls, vals): return valid_vals + # TODO[pydantic]: We couldn't refactor the `validator`, please replace it by `field_validator` manually. + # Check https://docs.pydantic.dev/dev-v2/migration/#changes-to-validators for more information. @validator("DISPLAY_MAX_COLUMNS", pre=True, always=True) def validate_display_max_columns(cls, val): if val < 0: @@ -91,6 +96,8 @@ def validate_display_max_columns(cls, val): pd.set_option("display.max_columns", val) return val + # TODO[pydantic]: We couldn't refactor the `validator`, please replace it by `field_validator` manually. + # Check https://docs.pydantic.dev/dev-v2/migration/#changes-to-validators for more information. @validator("DISPLAY_MAX_ROWS", pre=True, always=True) def validate_display_max_rows(cls, val): if val < 0: @@ -98,11 +105,15 @@ def validate_display_max_rows(cls, val): pd.set_option("display.max_rows", val) return val + # TODO[pydantic]: We couldn't refactor the `validator`, please replace it by `field_validator` manually. + # Check https://docs.pydantic.dev/dev-v2/migration/#changes-to-validators for more information. @validator("HTML_TABLE_SCHEMA", pre=True, always=True) def validate_html_table_schema(cls, val): pd.set_option("html.table_schema", val) return val + # TODO[pydantic]: We couldn't refactor the `validator`, please replace it by `field_validator` manually. + # Check https://docs.pydantic.dev/dev-v2/migration/#changes-to-validators for more information. @validator("MAX_STRING_LENGTH", pre=True, always=True) def validate_max_string_length(cls, val): if val < 0: @@ -116,9 +127,7 @@ def get_renderable_types(self): **get_default_renderable_types(), } - class Config: - validate_assignment = True - use_enum_values = True + model_config = SettingsConfigDict(validate_assignment=True, use_enum_values=True) @lru_cache @@ -215,7 +224,7 @@ def set_option( @contextmanager def settings_context(ipython_shell: Optional[InteractiveShell] = None, **option_kwargs): settings = get_settings() - orig_settings = settings.dict() + orig_settings = settings.model_dump() option_kwargs = {str(k).upper(): v for k, v in option_kwargs.items()} # handle DISPLAY_MODE updates first since it can overwrite other settings diff --git a/src/dx/utils/formatting.py b/src/dx/utils/formatting.py index 1df7dd60..64865e07 100644 --- a/src/dx/utils/formatting.py +++ b/src/dx/utils/formatting.py @@ -322,7 +322,7 @@ def generate_metadata( # these are set whenever store_sample_to_history() is called after a filter action from the frontend sample_history = existing_metadata.get("datalink", {}).get("sample_history", []) # we shouldn't have a mix of pydantic FilterTypes and dicts here, but just in case - filters = [f.dict() if not isinstance(f, dict) else f for f in parent_dxdf.filters] + filters = [f.model_dump() if not isinstance(f, dict) else f for f in parent_dxdf.filters] # TODO: wrap this up into the DXDataFrame init properties with some refactoring user_variable_name = variable_name