diff --git a/.github/workflows/ci_template.yml b/.github/workflows/ci_template.yml index d48cf05..d2a824c 100644 --- a/.github/workflows/ci_template.yml +++ b/.github/workflows/ci_template.yml @@ -9,7 +9,7 @@ on: type: string python-version: description: 'Python version' - default: '["3.9", "3.12"]' + default: '["3.10", "3.13"]' type: string jobs: @@ -38,6 +38,6 @@ jobs: run: poetry run pytest - name: Upload coverage to Codecov - if: success() && (matrix.os == 'ubuntu-latest' && matrix.python-version == 3.9) + if: success() && (matrix.os == 'ubuntu-latest' && matrix.python-version == 3.10) uses: codecov/codecov-action@v5 diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml index fa4c87c..b75da30 100644 --- a/.github/workflows/publish.yml +++ b/.github/workflows/publish.yml @@ -12,7 +12,7 @@ jobs: uses: ./.github/workflows/ci_template.yml with: os: '["ubuntu-latest", "windows-latest", "macos-latest"]' - python-version: '["3.9", "3.10", "3.11", "3.12"]' + python-version: '["3.10", "3.11", "3.12", "3.13"]' build-wheel: needs: test @@ -37,7 +37,7 @@ jobs: - uses: actions/setup-python@v5 with: - python-version: 3.9 + python-version: 3.10 - name: Install Poetry uses: abatilo/actions-poetry@v3.0.1 diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index da5cbe9..ca4cfff 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -16,7 +16,7 @@ repos: rev: "v1.14.1" hooks: - id: mypy - additional_dependencies: [types-PyYAML] + additional_dependencies: [types-PyYAML, pydantic] - repo: https://github.com/igorshubovych/markdownlint-cli rev: v0.44.0 hooks: diff --git a/csvy/validators/__init__.py b/csvy/validators/__init__.py new file mode 100644 index 0000000..79d622d --- /dev/null +++ b/csvy/validators/__init__.py @@ -0,0 +1,65 @@ +"""Validators for the CSVY format.""" + +from collections.abc import Mapping +from typing import Any + +from pydantic import BaseModel + +from .csv_dialect import CSVDialectValidator # noqa: F401 +from .registry import VALIDATORS_REGISTRY, register_validator # noqa: F401 +from .table_schema import SchemaValidator # noqa: F401 + + +def validate_header(header: dict[str, Any]) -> dict[str, Any]: + """Run the validators on the header. + + This function runs the validators on the header. It uses the keys of the header to + find the validators in the registry and runs them on the corresponding values. As + a result, some values in the header may be replaced by the validated values in the + form of Pydantic models. + + If the header is an already validated header, the Pydantic models within, if any, + are dumped to dictionaries and re-validated, again. This accounts for the case where + attributes of the Pydantic models are changed to invalid values. + + Args: + header: The header of the CSVY file. + + Returns: + The validated header. + + """ + validated_header: dict[str, Any] = {} + for key, value in header.items(): + value_ = value.model_dump() if isinstance(value, BaseModel) else value + if key in VALIDATORS_REGISTRY: + if not isinstance(value_, Mapping): + raise TypeError( + f"Value for '{key}' must be a mapping, not a '{type(value_)}'." + ) + validator = VALIDATORS_REGISTRY[key] + validated_header[key] = validator(**value_) + else: + validated_header[key] = value_ + return validated_header + + +def header_to_dict(header: dict[str, Any]) -> dict[str, Any]: + """Transform the header into a serializable dictionary. + + Transforms the header with validators to a header with dictionaries that can be + saved as yaml. + + Args: + header: Dictionary to be saved as the header of the CSVY file. + + Returns: + The validated header, as a serializable dictionary. + + """ + validated_header = {} + for key, value in header.items(): + validated_header[key] = ( + value.model_dump() if isinstance(value, BaseModel) else value + ) + return validated_header diff --git a/csvy/validators.py b/csvy/validators/csv_dialect.py similarity index 53% rename from csvy/validators.py rename to csvy/validators/csv_dialect.py index 4900c5e..a7e6bb4 100644 --- a/csvy/validators.py +++ b/csvy/validators/csv_dialect.py @@ -1,99 +1,16 @@ -"""Module that contains validators for the CSVY file format.""" +"""CSV Dialect-related validation.""" + +from __future__ import annotations import csv -from collections.abc import Mapping -from typing import Any, Callable, Optional, TypeVar +from enum import Enum +from typing import Any, TypeVar from pydantic import BaseModel, Field -VALIDATORS_REGISTRY: dict[str, type[BaseModel]] = {} -"""Registry of validators to run on the header.""" - - -def register_validator( - name: str, overwrite: bool = False -) -> Callable[[type[BaseModel]], type[BaseModel]]: - """Register a validator in the registry. - - This function is a decorator that registers a validator in the registry. The name - of the validator is used as the key in the registry. - - Args: - name: The name of the validator. - overwrite: Whether to overwrite the validator if it already exists. - - Returns: - The decorator function that registers the validator. - - """ - - def decorator(cls: type[BaseModel]) -> type[BaseModel]: - if not issubclass(cls, BaseModel): - raise TypeError("Validators must be subclasses of pydantic.BaseModel.") - - if name in VALIDATORS_REGISTRY and not overwrite: - raise ValueError(f"Validator with name '{name}' already exists.") - - VALIDATORS_REGISTRY[name] = cls - return cls - - return decorator - - -def validate_header(header: dict[str, Any]) -> dict[str, Any]: - """Run the validators on the header. - - This function runs the validators on the header. It uses the keys of the header to - find the validators in the registry and runs them on the corresponding values. As - a result, some values in the header may be replaced by the validated values in the - form of Pydantic models. - - If the header is an already validated header, the Pydantic models within, if any, - are dumped to dictionaries and re-validated, again. This accounts for the case where - attributes of the Pydantic models are changed to invalid values. - - Args: - header: The header of the CSVY file. - - Returns: - The validated header. - - """ - validated_header: dict[str, Any] = {} - for key, value in header.items(): - value_ = value.model_dump() if isinstance(value, BaseModel) else value - if key in VALIDATORS_REGISTRY: - if not isinstance(value_, Mapping): - raise TypeError( - f"Value for '{key}' must be a mapping, not a '{type(value_)}'." - ) - validator = VALIDATORS_REGISTRY[key] - validated_header[key] = validator(**value_) - else: - validated_header[key] = value_ - return validated_header - - -def header_to_dict(header: dict[str, Any]) -> dict[str, Any]: - """Transform the header into a serializable dictionary. - - Transforms the header with validators to a header with dictionaries that can be - saved as yaml. - - Args: - header: Dictionary to be saved as the header of the CSVY file. - - Returns: - The validated header, as a serializable dictionary. - - """ - validated_header = {} - for key, value in header.items(): - validated_header[key] = ( - value.model_dump() if isinstance(value, BaseModel) else value - ) - return validated_header +from .registry import register_validator +# CSV Dialect-related validation # Create a generic variable that can be 'Parent', or any subclass. T = TypeVar("T", bound="CSVDialectValidator") @@ -127,7 +44,7 @@ class CSVDialectValidator(BaseModel): delimiter: str = Field(default=",") doublequote: bool = Field(default=True) - escapechar: Optional[str] = Field(default=None) + escapechar: str | None = Field(default=None) lineterminator: str = Field(default="\r\n") quotechar: str = Field(default='"') skipinitialspace: bool = Field(default=False) @@ -223,3 +140,113 @@ def unix_dialect(cls: type[T]) -> T: quotechar=unix.quotechar or '"', skipinitialspace=unix.skipinitialspace, ) + + +# Table Schema-related validation + + +class TypeEnum(str, Enum): + """Enumeration of the possible types for the Table Schema.""" + + STRING = "string" + INTEGER = "integer" + BOOLEAN = "boolean" + OBJECT = "object" + ARRAY = "array" + DATE = "date" + TIME = "time" + DATETIME = "datetime" + YEAR = "year" + YEARMONTH = "yearmonth" + DURATION = "duration" + GEOPOINT = "geopoint" + GEOJSON = "geojson" + ANY = "any" + + +class ConstraintsValidator(BaseModel): + """Validator for the constraints in the Table Schema. + + This class is used to validate the constraints in the Table Schema. It is based on + the constraints defined in the Table Schema specification. + + Attributes: + required: A boolean indicating if the value is required. + unique: A boolean indicating if the value is unique. + minimum: The minimum of the value. Applies to types: integer, number, date, + time, datetime, year, yearmonth. + maximum: The maximum value. Applies to types: integer, number, date, + time, datetime, year, yearmonth. + minLength: The minimum length of the field. Applies to collections (string, + array, object). + maxLength: The maximum length of the field. Applies to collections (string, + array, object). + pattern: A regular expression pattern that the value must match. Applies to + types: string. + enum: A list of possible values for the field. + + """ + + required: bool | None = Field(None) + unique: bool | None = Field(None) + minimum: int | float | None = Field(None) + maximum: int | float | None = Field(None) + minLength: int | None = Field(None) + maxLength: int | None = Field(None) + pattern: str | None = Field(None) + enum: list[Any] | None = Field(None) + + +class ColumnValidator(BaseModel): + """Validator for the columns in the Table Schema. + + This class is used to validate the columns in the Table Schema. It is based on the + columns defined in the Table Schema specification. + + Attributes: + name: The name of the column. + title: A nicer human readable label or title for the field. + type_: A string specifying the type. + format_: A string specifying a format. + example: An example value for the field. + description: A description for the field. + constraints: A dictionary of constraints for the field. + + """ + + name: str = Field(..., description="Column name.") + title: str | None = Field( + None, description="A nicer human readable label or title for the field." + ) + type_: TypeEnum | None = Field( + None, alias="type", description="A string specifying the type." + ) + format_: str | None = Field( + None, alias="format", description="A string specifying a format." + ) + example: str | None = Field(None, description="An example value for the field.") + description: str | None = Field(None, description="A description for the field.") + constraints: ConstraintsValidator | None = Field( + None, description="A dictionary of constraints for the field." + ) + + def model_dump(self, *args, **kwargs) -> dict[str, Any]: + """Dump the model to a dictionary. + + This method dumps the model to a dictionary. It sets exclude_unset to True and + by_alias to True, so that only the attributes that were set are included in the + dictionary and their aliases are always used. + + Finally, it converts the attributes that are Enum instances to their values. + + Returns: + A dictionary with the model attributes. + + """ + kwargs["exclude_unset"] = True + kwargs["by_alias"] = True + output = super().model_dump(*args, **kwargs) + for key, value in output.items(): + if isinstance(value, Enum): + output[key] = value.value + return output diff --git a/csvy/validators/registry.py b/csvy/validators/registry.py new file mode 100644 index 0000000..8a29c06 --- /dev/null +++ b/csvy/validators/registry.py @@ -0,0 +1,38 @@ +"""Registry of validators to run on the header.""" + +from collections.abc import Callable + +from pydantic import BaseModel + +VALIDATORS_REGISTRY: dict[str, type[BaseModel]] = {} +"""Registry of validators to run on the header.""" + + +def register_validator( + name: str, overwrite: bool = False +) -> Callable[[type[BaseModel]], type[BaseModel]]: + """Register a validator in the registry. + + This function is a decorator that registers a validator in the registry. The name + of the validator is used as the key in the registry. + + Args: + name: The name of the validator. + overwrite: Whether to overwrite the validator if it already exists. + + Returns: + The decorator function that registers the validator. + + """ + + def decorator(cls: type[BaseModel]) -> type[BaseModel]: + if not issubclass(cls, BaseModel): + raise TypeError("Validators must be subclasses of pydantic.BaseModel.") + + if name in VALIDATORS_REGISTRY and not overwrite: + raise ValueError(f"Validator with name '{name}' already exists.") + + VALIDATORS_REGISTRY[name] = cls + return cls + + return decorator diff --git a/csvy/validators/table_schema.py b/csvy/validators/table_schema.py new file mode 100644 index 0000000..e5c63d0 --- /dev/null +++ b/csvy/validators/table_schema.py @@ -0,0 +1,454 @@ +"""Module that contains validators for the table schema.""" + +from __future__ import annotations + +from enum import Enum +from typing import Annotated, Any, Literal + +from pydantic import BaseModel, Field + +from .registry import register_validator + + +class TypeEnum(str, Enum): + """Enumeration of the possible types for the Table Schema.""" + + STRING = "string" + NUMBER = "number" + INTEGER = "integer" + BOOLEAN = "boolean" + OBJECT = "object" + ARRAY = "array" + DATE = "date" + TIME = "time" + DATETIME = "datetime" + YEAR = "year" + YEARMONTH = "yearmonth" + DURATION = "duration" + GEOPOINT = "geopoint" + GEOJSON = "geojson" + ANY = "any" + + +class FormatDefault(str, Enum): + """Enumeration of the possible formats for the Table Schema.""" + + DEFAULT = "default" + + +class FormatString(str, Enum): + """Enumeration of the possible formats for the Table Schema for the string type.""" + + DEFAULT = "default" + EMAIL = "email" + URI = "uri" + BINARY = "binary" + UUID = "uuid" + + +class FormatDateTime(str, Enum): + """Enumeration of the formats for the Table Schema for the datetime type. + + default: Declares that the datetime objects follows the ISO8601 format. + - datetime: YYYY-MM-DD + - time: hh:mm:ss in 24-hour time and UTC timezone. + - datetime: YYYY-MM-DDThh:mm:ssZ in 24-hour time and UTC timezone. + any: Any parsable datetime format. + """ + + DEFAULT = "default" + ANY = "any" + + +class FormatGeoPoint(str, Enum): + """Enumeration of the formats for the Table Schema for the geopoint type. + + default: Declares that the geopoint objects follows the ISO6709 format, ie. + latitude and longitude, are provided as a string, eg. '37.7749,-122.4194'. + array: Declares that the geopoint objects are an array with two numbers, eg. + [37.7749, -122.4194]. + object: Declares that the geopoint objects are JSON object with with 'lon' + and 'lat' keys, eg. "{'lat': 37.7749, 'lon': -122.4194}". + + """ + + DEFAULT = "default" + ARRAY = "array" + OBJECT = "object" + + +class FormatGeoJSON(str, Enum): + """Enumeration of the formats for the Table Schema for the geojson type. + + default: Declares that the geojson objects are JSON objects that follow the + GeoJSON specification. + topojson: Declares that the geojson objects are JSON objects that follow the + TopoJSON specification. + + """ + + DEFAULT = "default" + TOPOJSON = "topojson" + + +class ConstraintsValidator(BaseModel): + """Validator for the constraints in the Table Schema. + + This class is used to validate the constraints in the Table Schema. It is based on + the constraints defined in the Table Schema specification. + + Attributes: + required: A boolean indicating if the value is required. + unique: A boolean indicating if the value is unique. + minimum: The minimum of the value. Applies to types: integer, number, date, + time, datetime, year, yearmonth. + maximum: The maximum value. Applies to types: integer, number, date, + time, datetime, year, yearmonth. + minLength: The minimum length of the field. Applies to collections (string, + array, object). + maxLength: The maximum length of the field. Applies to collections (string, + array, object). + pattern: A regular expression pattern that the value must match. Applies to + types: string. + enum: A list of possible values for the field. + + """ + + required: bool | None = Field(None) + unique: bool | None = Field(None) + minimum: int | float | None = Field(None) + maximum: int | float | None = Field(None) + minLength: int | None = Field(None) + maxLength: int | None = Field(None) + pattern: str | None = Field(None) + enum: list[Any] | None = Field(None) + + +class CommonValidator(BaseModel): + """Validator for the columns in the Table Schema. + + This class is used to validate the columns in the Table Schema. It is based on the + columns defined in the Table Schema specification. + + Attributes: + name: The name of the column. + title: A nicer human readable label or title for the field. + example: An example value for the field. + description: A description for the field. + constraints: A dictionary of constraints for the field. + + """ + + name: str = Field(..., description="Column name.") + title: str | None = Field( + None, description="A nicer human readable label or title for the field." + ) + example: str | None = Field(None, description="An example value for the field.") + description: str | None = Field(None, description="A description for the field.") + constraints: ConstraintsValidator | None = Field( + None, description="A dictionary of constraints for the field." + ) + + def model_dump(self, *args, **kwargs) -> dict[str, Any]: + """Dump the model to a dictionary. + + This method dumps the model to a dictionary. It sets exclude_unset to True and + by_alias to True, so that only the attributes that were set are included in the + dictionary and their aliases are always used. + + Finally, it converts the attributes that are Enum instances to their values. + + Returns: + A dictionary with the model attributes. + + """ + kwargs["exclude_unset"] = kwargs.get("exclude_unset", True) + kwargs["by_alias"] = kwargs.get("by_alias", True) + output = super().model_dump(*args, **kwargs) + for key, value in output.items(): + if isinstance(value, Enum): + output[key] = value.value + if "constraints" in output and not output["constraints"]: + del output["constraints"] + return output + + +class DefaultColumnValidator(CommonValidator): + """Default column validator for anything that does not have a specific one. + + Attributes: + type_: A string specifying the type, valid values are any of the TypeEnum that + do not have a specific validator. + format_: A string specifying a format, with valid values being 'default' and + None. + + """ + + type_: Literal[ + TypeEnum.OBJECT, + TypeEnum.ARRAY, + TypeEnum.YEAR, + TypeEnum.YEARMONTH, + TypeEnum.DURATION, + TypeEnum.ANY, + None, + ] = Field(None, alias="type", description="A string specifying the type.") + format_: FormatDefault | None = Field( + None, alias="format", description="A string specifying a format." + ) + + +class StringColumnValidator(CommonValidator): + """Validator for the string columns in the Table Schema. + + This class is used to validate the string columns in the Table Schema. It is based + on the columns defined in the Table Schema specification. + + Attributes: + type_: A string specifying the type, with valid values being 'string'. + format_: A string specifying a format, with valid values being 'default', + 'email', 'uri', 'binary', 'uuid' and None. + + """ + + type_: Literal[TypeEnum.STRING] = Field( + TypeEnum.STRING, alias="type", description="A string specifying the type." + ) + format_: FormatString | None = Field( + None, alias="format", description="A string specifying a format." + ) + + +class NumberColumnValidator(CommonValidator): + """Validator for the number columns in the Table Schema. + + This class is used to validate the number columns in the Table Schema. It is based + on the columns defined in the Table Schema specification. + + Attributes: + type_: A string specifying the type, with valid values being 'number'. + format_: A string specifying a format, with valid values being 'default' and + None. + decimalChar: The character used to separate the integer and fractional. If + None, '.' is used. + groupChar: The character used to separate groups of thousands. None assumed. + bareNumber: If True, the number is a bare number, without any formatting. If + None, True is used. If false the contents of this field may contain leading + and/or trailing non-numeric characters that must be stripped to parse the + number, eg. '95%', '£50.5'. + + """ + + type_: Literal[TypeEnum.NUMBER] = Field( + TypeEnum.NUMBER, alias="type", description="A string specifying the type." + ) + format_: FormatDefault | None = Field( + None, alias="format", description="A string specifying a format." + ) + decimalChar: str | None = Field( + None, + description="The character used to separate the integer and fractional. " + + "If None, '.' is used.", + ) + groupChar: str | None = Field( + None, description="The character used to separate groups of thousands." + ) + bareNumber: bool | None = Field( + None, + description="If True, the number is a bare number, without any formatting." + + "If None, True is used. If false the contents of this field may contain " + + "leading and/or trailing non-numeric characters that must be stripped to " + + "parse the number, eg. '95%', '£50.5'.", + ) + + +class IntegerColumnValidator(CommonValidator): + """Validator for the integer columns in the Table Schema. + + This class is used to validate the integer columns in the Table Schema. It is based + on the columns defined in the Table Schema specification. + + Attributes: + type_: A string specifying the type, with valid values being 'integer'. + format_: A string specifying a format, with valid values being 'default' and + None. + bareNumber: If True, the number is a bare number, without any formatting. If + None, True is used. If false the contents of this field may contain leading + and/or trailing non-numeric characters that must be stripped to parse the + number, eg. '95%', '£50'. + + """ + + type_: Literal[TypeEnum.INTEGER] = Field( + TypeEnum.INTEGER, alias="type", description="A string specifying the type." + ) + format_: FormatDefault | None = Field( + None, alias="format", description="A string specifying a format." + ) + bareNumber: bool | None = Field( + None, + description="If True, the number is a bare number, without any formatting." + + "If None, True is used. If false the contents of this field may contain " + + "leading and/or trailing non-numeric characters that must be stripped to " + + "parse the number, eg. '95%', '£50'.", + ) + + +class BooleanColumnValidator(CommonValidator): + """Validator for the boolean columns in the Table Schema. + + This class is used to validate the boolean columns in the Table Schema. It is based + on the columns defined in the Table Schema specification. + + Attributes: + type_: A string specifying the type, with valid values being 'boolean'. + format_: A string specifying a format, with valid values being 'default' and + None. + trueValues: A list of strings that should be considered as True. If None, + ['true', 'True', 'TRUE', '1'] is used. + falseValues: A list of strings that should be considered as False. If None, + ['false', 'False', 'FALSE', '0'] is used + + """ + + type_: Literal[TypeEnum.BOOLEAN] = Field( + TypeEnum.BOOLEAN, alias="type", description="A string specifying the type." + ) + format_: FormatDefault | None = Field( + None, alias="format", description="A string specifying a format." + ) + trueValues: list[str] | None = Field( + None, + description="A list of strings that should be considered as True. If None, " + + "['true', 'True', 'TRUE', '1'] is used.", + ) + falseValues: list[str] | None = Field( + None, + description="A list of strings that should be considered as False. If None, " + + "['false', 'False', 'FALSE', '0'] is used.", + ) + + +class DateTimeColumnValidator(CommonValidator): + """Validator for the datetime columns in the Table Schema. + + This class is used to validate the datetime columns in the Table Schema. It is based + on the columns defined in the Table Schema specification. + + Attributes: + type_: A string specifying the type, with valid values being 'datetime'. + format_: A string specifying a format. It can be 'default' or 'any', or a string + with a custom format parsable by Python / C standard 'strptime', eg. + '%d/%m/%y'. + + """ + + type_: Literal[TypeEnum.DATETIME, TypeEnum.DATE, TypeEnum.TIME] = Field( + TypeEnum.DATETIME, alias="type", description="A string specifying the type." + ) + format_: FormatDateTime | str | None = Field( + None, + alias="format", + description="A string specifying a format. It can be " + + "'default' or 'any', or a string with a custom format parsable by Python / C " + + "standard 'strptime', eg. '%d/%m/%y'.", + ) + + +class GeopointColumnValidator(CommonValidator): + """Validator for the geopoint columns in the Table Schema. + + This class is used to validate the geopoint columns in the Table Schema. It is based + on the columns defined in the Table Schema specification. + + Attributes: + type_: A string specifying the type, with valid values being 'geopoint'. + format_: A string specifying a format, with valid values being 'default', + 'array', 'object' and None. + + """ + + type_: Literal[TypeEnum.GEOPOINT] = Field( + TypeEnum.GEOPOINT, alias="type", description="A string specifying the type." + ) + format_: FormatGeoPoint | None = Field( + None, alias="format", description="A string specifying a format." + ) + + +class GeoJSONColumnValidator(CommonValidator): + """Validator for the geojson columns in the Table Schema. + + This class is used to validate the geojson columns in the Table Schema. It is based + on the columns defined in the Table Schema specification. + + Attributes: + type_: A string specifying the type, with valid values being 'geojson'. + format_: A string specifying a format, with valid values being 'default', + 'topojson' and None. + + """ + + type_: Literal[TypeEnum.GEOJSON] = Field( + TypeEnum.GEOJSON, alias="type", description="A string specifying the type." + ) + format_: FormatGeoJSON | None = Field( + None, alias="format", description="A string specifying a format." + ) + + +ColumnValidator = Annotated[ + StringColumnValidator + | NumberColumnValidator + | IntegerColumnValidator + | BooleanColumnValidator + | DateTimeColumnValidator + | GeopointColumnValidator + | GeoJSONColumnValidator, + Field(discriminator="type_"), +] +"""Annotated type for the ColumnValidator.""" + + +@register_validator("schema") +class SchemaValidator(BaseModel): + """Validator for the Table Schema in the CSVY file. + + This class is used to validate the Table Schema in the CSVY file. It is based on the + schema defined in the Table Schema specification. + + Attributes: + fields: A list of column validators. + + """ + + fields: list[ColumnValidator | DefaultColumnValidator] = Field( + ..., description="A list of column validators." + ) + missingValues: list[str] | None = Field( + None, + description="A list of strings that should be considered as missing values. " + + "If None, [''] (an empty string) is used.", + ) + + def model_dump(self, *args, **kwargs) -> dict[str, Any]: + """Dump the model to a dictionary. + + This method dumps the model to a dictionary. It sets exclude_unset to True and + by_alias to True, so that only the attributes that were set are included in the + dictionary and their aliases are always used. + + Finally, it converts the attributes that are Enum instances to their values. + + Returns: + A dictionary with the model attributes. + + """ + kwargs["exclude_unset"] = kwargs.get("exclude_unset", True) + kwargs["by_alias"] = kwargs.get("by_alias", True) + output = super().model_dump(*args, **kwargs) + for field in output["fields"]: + for key, value in field.items(): + if isinstance(value, Enum): + field[key] = value.value + return output diff --git a/poetry.lock b/poetry.lock index bc3deb3..0c7c558 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. 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3.13", "License :: OSI Approved :: BSD License", "Operating System :: OS Independent", ] @@ -22,9 +22,10 @@ classifiers = [ packages = [{ include = "csvy" }] [tool.poetry.dependencies] -python = "^3.9" +python = "^3.10" PyYAML = "^6.0" pydantic = "^2.9.2" +eval-type-backport = "^0.2.0" # A list of all of the optional dependencies, which are included in the # below `extras`. They can be opted into by apps. @@ -60,7 +61,7 @@ mkdocs-literate-nav = "^0.5.0" mkdocs-section-index = "^0.3.4" [tool.ruff] -target-version = "py39" +target-version = "py310" lint.select = [ "D", # pydocstyle "E", # pycodestyle @@ -77,6 +78,8 @@ convention = "google" [tool.mypy] ignore_missing_imports = true check_untyped_defs = true +exclude = "docs" +plugins = ['pydantic.mypy'] [tool.mypy-setup] ignore_errors = true diff --git a/tests/validators/test_table_schema.py b/tests/validators/test_table_schema.py new file mode 100644 index 0000000..f6f13be --- /dev/null +++ b/tests/validators/test_table_schema.py @@ -0,0 +1,292 @@ +"""Tests for the table_schema module.""" + +from csvy.validators.table_schema import ( + BooleanColumnValidator, + CommonValidator, + ConstraintsValidator, + DateTimeColumnValidator, + DefaultColumnValidator, + FormatDateTime, + FormatDefault, + FormatGeoJSON, + FormatGeoPoint, + FormatString, + GeoJSONColumnValidator, + GeopointColumnValidator, + IntegerColumnValidator, + NumberColumnValidator, + SchemaValidator, + StringColumnValidator, + TypeEnum, +) + + +def test_common_validator(): + """Test the CommonValidator class.""" + validator = CommonValidator( + **{ + "name": "test_column", + "title": "Test Column", + "example": "example_value", + "description": "This is a test column.", + "constraints": { + "required": True, + "unique": True, + }, + } + ) + assert validator.name == "test_column" + assert validator.title == "Test Column" + assert validator.example == "example_value" + assert validator.description == "This is a test column." + assert validator.constraints + assert validator.constraints.required is True + assert validator.constraints.unique is True + + # Test model_dump + dumped = validator.model_dump() + assert dumped["name"] == "test_column" + assert dumped["title"] == "Test Column" + assert dumped["example"] == "example_value" + assert dumped["description"] == "This is a test column." + assert dumped["constraints"]["required"] is True + assert dumped["constraints"]["unique"] is True + + +def test_constraints_validator(): + """Test the ConstraintsValidator class.""" + validator = ConstraintsValidator( + **{ + "required": True, + "unique": True, + "minimum": 1, + "maximum": 10, + "minLength": 2, + "maxLength": 5, + "pattern": "^[a-z]+$", + "enum": ["a", "b", "c"], + } + ) + assert validator.required is True + assert validator.unique is True + assert validator.minimum == 1 + assert validator.maximum == 10 + assert validator.minLength == 2 + assert validator.maxLength == 5 + assert validator.pattern == "^[a-z]+$" + assert validator.enum == ["a", "b", "c"] + + # Test model_dump + dumped = validator.model_dump() + assert dumped["required"] is True + assert dumped["unique"] is True + assert dumped["minimum"] == 1 + assert dumped["maximum"] == 10 + assert dumped["minLength"] == 2 + assert dumped["maxLength"] == 5 + assert dumped["pattern"] == "^[a-z]+$" + assert dumped["enum"] == ["a", "b", "c"] + + +def test_default_column_validator(): + """Test the DefaultColumnValidator class.""" + validator = DefaultColumnValidator( + **{ + "name": "test_column", + "type": TypeEnum.OBJECT.value, + "format": FormatDefault.DEFAULT.value, + } + ) + assert validator.name == "test_column" + assert validator.type_ == TypeEnum.OBJECT + assert validator.format_ == FormatDefault.DEFAULT + + # Test model_dump + dumped = validator.model_dump() + assert dumped["name"] == "test_column" + assert dumped["type"] == "object" + assert dumped["format"] == "default" + + +def test_string_column_validator(): + """Test the StringColumnValidator class.""" + validator = StringColumnValidator( + **{ + "name": "test_column", + "type": TypeEnum.STRING.value, + "format": FormatString.EMAIL.value, + } + ) + assert validator.name == "test_column" + assert validator.type_ == TypeEnum.STRING + assert validator.format_ == FormatString.EMAIL + + # Test model_dump + dumped = validator.model_dump() + assert dumped["name"] == "test_column" + assert dumped["type"] == "string" + assert dumped["format"] == "email" + + +def test_number_column_validator(): + """Test the NumberColumnValidator class.""" + validator = NumberColumnValidator( + **{ + "name": "test_column", + "type": TypeEnum.NUMBER.value, + "format": FormatDefault.DEFAULT.value, + "decimalChar": ",", + "groupChar": ".", + "bareNumber": False, + } + ) + assert validator.name == "test_column" + assert validator.type_ == TypeEnum.NUMBER + assert validator.format_ == FormatDefault.DEFAULT + assert validator.decimalChar == "," + assert validator.groupChar == "." + assert validator.bareNumber is False + + # Test model_dump + dumped = validator.model_dump() + assert dumped["name"] == "test_column" + assert dumped["type"] == "number" + assert dumped["format"] == "default" + assert dumped["decimalChar"] == "," + assert dumped["groupChar"] == "." + assert dumped["bareNumber"] is False + + +def test_integer_column_validator(): + """Test the IntegerColumnValidator class.""" + validator = IntegerColumnValidator( + **{ + "name": "test_column", + "type": TypeEnum.INTEGER.value, + "format": FormatDefault.DEFAULT.value, + "bareNumber": True, + } + ) + assert validator.name == "test_column" + assert validator.type_ == TypeEnum.INTEGER + assert validator.format_ == FormatDefault.DEFAULT + assert validator.bareNumber is True + + # Test model_dump + dumped = validator.model_dump() + assert dumped["name"] == "test_column" + assert dumped["type"] == "integer" + assert dumped["format"] == "default" + assert dumped["bareNumber"] is True + + +def test_boolean_column_validator(): + """Test the BooleanColumnValidator class.""" + validator = BooleanColumnValidator( + **{ + "name": "test_column", + "type": TypeEnum.BOOLEAN.value, + "format": FormatDefault.DEFAULT.value, + "trueValues": ["yes", "true"], + "falseValues": ["no", "false"], + } + ) + assert validator.name == "test_column" + assert validator.type_ == TypeEnum.BOOLEAN + assert validator.format_ == FormatDefault.DEFAULT + assert validator.trueValues == ["yes", "true"] + assert validator.falseValues == ["no", "false"] + + # Test model_dump + dumped = validator.model_dump() + assert dumped["name"] == "test_column" + assert dumped["type"] == "boolean" + assert dumped["format"] == "default" + assert dumped["trueValues"] == ["yes", "true"] + assert dumped["falseValues"] == ["no", "false"] + + +def test_datetime_column_validator(): + """Test the DateTimeColumnValidator class.""" + validator = DateTimeColumnValidator( + **{ + "name": "test_column", + "type": TypeEnum.DATETIME.value, + "format": FormatDateTime.ANY.value, + } + ) + assert validator.name == "test_column" + assert validator.type_ == TypeEnum.DATETIME + assert validator.format_ == FormatDateTime.ANY + + # Test model_dump + dumped = validator.model_dump() + assert dumped["name"] == "test_column" + assert dumped["type"] == "datetime" + assert dumped["format"] == "any" + + +def test_geopoint_column_validator(): + """Test the GeopointColumnValidator class.""" + validator = GeopointColumnValidator( + **{ + "name": "test_column", + "type": TypeEnum.GEOPOINT.value, + "format": FormatGeoPoint.ARRAY.value, + } + ) + assert validator.name == "test_column" + assert validator.type_ == TypeEnum.GEOPOINT + assert validator.format_ == FormatGeoPoint.ARRAY + + # Test model_dump + dumped = validator.model_dump() + assert dumped["name"] == "test_column" + assert dumped["type"] == "geopoint" + assert dumped["format"] == "array" + + +def test_geojson_column_validator(): + """Test the GeoJSONColumnValidator class.""" + validator = GeoJSONColumnValidator( + **{ + "name": "test_column", + "type": TypeEnum.GEOJSON.value, + "format": FormatGeoJSON.TOPOJSON.value, + } + ) + assert validator.name == "test_column" + assert validator.type_ == TypeEnum.GEOJSON + assert validator.format_ == FormatGeoJSON.TOPOJSON + + # Test model_dump + dumped = validator.model_dump() + assert dumped["name"] == "test_column" + assert dumped["type"] == "geojson" + assert dumped["format"] == "topojson" + + +def test_schema_validator(): + """Test the SchemaValidator class.""" + validator = SchemaValidator( + **{ + "fields": [ + {"name": "string_column", "type": "string"}, + {"name": "number_column", "type": "number"}, + ], + "missingValues": ["N/A", ""], + } + ) + assert len(validator.fields) == 2 + assert validator.fields[0].name == "string_column" + assert validator.fields[1].name == "number_column" + assert validator.missingValues == ["N/A", ""] + + # Test model_dump + dumped = validator.model_dump() + assert len(dumped["fields"]) == 2 + assert dumped["fields"][0]["name"] == "string_column" + assert dumped["fields"][0]["type"] == "string" + assert dumped["fields"][1]["name"] == "number_column" + assert dumped["fields"][1]["type"] == "number" + assert dumped["missingValues"] == ["N/A", ""] diff --git a/tests/test_validators.py b/tests/validators/test_validators.py similarity index 98% rename from tests/test_validators.py rename to tests/validators/test_validators.py index fcade69..1e35b56 100644 --- a/tests/test_validators.py +++ b/tests/validators/test_validators.py @@ -8,7 +8,7 @@ def test_shortcut_dialects_roundtrip(shortcut): """Test that the shortcut dialects roundtrip to the actual dialects.""" import csv - from csvy.validators import CSVDialectValidator + from csvy.validators.csv_dialect import CSVDialectValidator validator = getattr(CSVDialectValidator, shortcut)() dialect = validator.to_dialect()