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|
| | """Define resources for the BigQuery Routines API.""" |
| |
|
| | from typing import Any, Dict, Optional |
| |
|
| | import google.cloud._helpers |
| | from google.cloud.bigquery import _helpers |
| | from google.cloud.bigquery.standard_sql import StandardSqlDataType |
| | from google.cloud.bigquery.standard_sql import StandardSqlTableType |
| |
|
| |
|
| | class RoutineType: |
| | """The fine-grained type of the routine. |
| | |
| | https://cloud.google.com/bigquery/docs/reference/rest/v2/routines#routinetype |
| | |
| | .. versionadded:: 2.22.0 |
| | """ |
| |
|
| | ROUTINE_TYPE_UNSPECIFIED = "ROUTINE_TYPE_UNSPECIFIED" |
| | SCALAR_FUNCTION = "SCALAR_FUNCTION" |
| | PROCEDURE = "PROCEDURE" |
| | TABLE_VALUED_FUNCTION = "TABLE_VALUED_FUNCTION" |
| |
|
| |
|
| | class Routine(object): |
| | """Resource representing a user-defined routine. |
| | |
| | See |
| | https://cloud.google.com/bigquery/docs/reference/rest/v2/routines |
| | |
| | Args: |
| | routine_ref (Union[str, google.cloud.bigquery.routine.RoutineReference]): |
| | A pointer to a routine. If ``routine_ref`` is a string, it must |
| | included a project ID, dataset ID, and routine ID, each separated |
| | by ``.``. |
| | ``**kwargs`` (Dict): |
| | Initial property values. |
| | """ |
| |
|
| | _PROPERTY_TO_API_FIELD = { |
| | "arguments": "arguments", |
| | "body": "definitionBody", |
| | "created": "creationTime", |
| | "etag": "etag", |
| | "imported_libraries": "importedLibraries", |
| | "language": "language", |
| | "modified": "lastModifiedTime", |
| | "reference": "routineReference", |
| | "return_type": "returnType", |
| | "return_table_type": "returnTableType", |
| | "type_": "routineType", |
| | "description": "description", |
| | "determinism_level": "determinismLevel", |
| | "remote_function_options": "remoteFunctionOptions", |
| | "data_governance_type": "dataGovernanceType", |
| | } |
| |
|
| | def __init__(self, routine_ref, **kwargs) -> None: |
| | if isinstance(routine_ref, str): |
| | routine_ref = RoutineReference.from_string(routine_ref) |
| |
|
| | self._properties = {"routineReference": routine_ref.to_api_repr()} |
| | for property_name in kwargs: |
| | setattr(self, property_name, kwargs[property_name]) |
| |
|
| | @property |
| | def reference(self): |
| | """google.cloud.bigquery.routine.RoutineReference: Reference |
| | describing the ID of this routine. |
| | """ |
| | return RoutineReference.from_api_repr( |
| | self._properties[self._PROPERTY_TO_API_FIELD["reference"]] |
| | ) |
| |
|
| | @property |
| | def path(self): |
| | """str: URL path for the routine's APIs.""" |
| | return self.reference.path |
| |
|
| | @property |
| | def project(self): |
| | """str: ID of the project containing the routine.""" |
| | return self.reference.project |
| |
|
| | @property |
| | def dataset_id(self): |
| | """str: ID of dataset containing the routine.""" |
| | return self.reference.dataset_id |
| |
|
| | @property |
| | def routine_id(self): |
| | """str: The routine ID.""" |
| | return self.reference.routine_id |
| |
|
| | @property |
| | def etag(self): |
| | """str: ETag for the resource (:data:`None` until set from the |
| | server). |
| | |
| | Read-only. |
| | """ |
| | return self._properties.get(self._PROPERTY_TO_API_FIELD["etag"]) |
| |
|
| | @property |
| | def type_(self): |
| | """str: The fine-grained type of the routine. |
| | |
| | See: |
| | https://cloud.google.com/bigquery/docs/reference/rest/v2/routines#RoutineType |
| | """ |
| | return self._properties.get(self._PROPERTY_TO_API_FIELD["type_"]) |
| |
|
| | @type_.setter |
| | def type_(self, value): |
| | self._properties[self._PROPERTY_TO_API_FIELD["type_"]] = value |
| |
|
| | @property |
| | def created(self): |
| | """Optional[datetime.datetime]: Datetime at which the routine was |
| | created (:data:`None` until set from the server). |
| | |
| | Read-only. |
| | """ |
| | value = self._properties.get(self._PROPERTY_TO_API_FIELD["created"]) |
| | if value is not None and value != 0: |
| | |
| | return google.cloud._helpers._datetime_from_microseconds( |
| | 1000.0 * float(value) |
| | ) |
| |
|
| | @property |
| | def modified(self): |
| | """Optional[datetime.datetime]: Datetime at which the routine was |
| | last modified (:data:`None` until set from the server). |
| | |
| | Read-only. |
| | """ |
| | value = self._properties.get(self._PROPERTY_TO_API_FIELD["modified"]) |
| | if value is not None and value != 0: |
| | |
| | return google.cloud._helpers._datetime_from_microseconds( |
| | 1000.0 * float(value) |
| | ) |
| |
|
| | @property |
| | def language(self): |
| | """Optional[str]: The language of the routine. |
| | |
| | Defaults to ``SQL``. |
| | """ |
| | return self._properties.get(self._PROPERTY_TO_API_FIELD["language"]) |
| |
|
| | @language.setter |
| | def language(self, value): |
| | self._properties[self._PROPERTY_TO_API_FIELD["language"]] = value |
| |
|
| | @property |
| | def arguments(self): |
| | """List[google.cloud.bigquery.routine.RoutineArgument]: Input/output |
| | argument of a function or a stored procedure. |
| | |
| | In-place modification is not supported. To set, replace the entire |
| | property value with the modified list of |
| | :class:`~google.cloud.bigquery.routine.RoutineArgument` objects. |
| | """ |
| | resources = self._properties.get(self._PROPERTY_TO_API_FIELD["arguments"], []) |
| | return [RoutineArgument.from_api_repr(resource) for resource in resources] |
| |
|
| | @arguments.setter |
| | def arguments(self, value): |
| | if not value: |
| | resource = [] |
| | else: |
| | resource = [argument.to_api_repr() for argument in value] |
| | self._properties[self._PROPERTY_TO_API_FIELD["arguments"]] = resource |
| |
|
| | @property |
| | def return_type(self): |
| | """google.cloud.bigquery.StandardSqlDataType: Return type of |
| | the routine. |
| | |
| | If absent, the return type is inferred from |
| | :attr:`~google.cloud.bigquery.routine.Routine.body` at query time in |
| | each query that references this routine. If present, then the |
| | evaluated result will be cast to the specified returned type at query |
| | time. |
| | |
| | See: |
| | https://cloud.google.com/bigquery/docs/reference/rest/v2/routines#Routine.FIELDS.return_type |
| | """ |
| | resource = self._properties.get(self._PROPERTY_TO_API_FIELD["return_type"]) |
| | if not resource: |
| | return resource |
| |
|
| | return StandardSqlDataType.from_api_repr(resource) |
| |
|
| | @return_type.setter |
| | def return_type(self, value: StandardSqlDataType): |
| | resource = None if not value else value.to_api_repr() |
| | self._properties[self._PROPERTY_TO_API_FIELD["return_type"]] = resource |
| |
|
| | @property |
| | def return_table_type(self) -> Optional[StandardSqlTableType]: |
| | """The return type of a Table Valued Function (TVF) routine. |
| | |
| | .. versionadded:: 2.22.0 |
| | """ |
| | resource = self._properties.get( |
| | self._PROPERTY_TO_API_FIELD["return_table_type"] |
| | ) |
| | if not resource: |
| | return resource |
| |
|
| | return StandardSqlTableType.from_api_repr(resource) |
| |
|
| | @return_table_type.setter |
| | def return_table_type(self, value: Optional[StandardSqlTableType]): |
| | if not value: |
| | resource = None |
| | else: |
| | resource = value.to_api_repr() |
| |
|
| | self._properties[self._PROPERTY_TO_API_FIELD["return_table_type"]] = resource |
| |
|
| | @property |
| | def imported_libraries(self): |
| | """List[str]: The path of the imported JavaScript libraries. |
| | |
| | The :attr:`~google.cloud.bigquery.routine.Routine.language` must |
| | equal ``JAVACRIPT``. |
| | |
| | Examples: |
| | Set the ``imported_libraries`` to a list of Google Cloud Storage |
| | URIs. |
| | |
| | .. code-block:: python |
| | |
| | routine = bigquery.Routine("proj.dataset.routine_id") |
| | routine.imported_libraries = [ |
| | "gs://cloud-samples-data/bigquery/udfs/max-value.js", |
| | ] |
| | """ |
| | return self._properties.get( |
| | self._PROPERTY_TO_API_FIELD["imported_libraries"], [] |
| | ) |
| |
|
| | @imported_libraries.setter |
| | def imported_libraries(self, value): |
| | if not value: |
| | resource = [] |
| | else: |
| | resource = value |
| | self._properties[self._PROPERTY_TO_API_FIELD["imported_libraries"]] = resource |
| |
|
| | @property |
| | def body(self): |
| | """str: The body of the routine.""" |
| | return self._properties.get(self._PROPERTY_TO_API_FIELD["body"]) |
| |
|
| | @body.setter |
| | def body(self, value): |
| | self._properties[self._PROPERTY_TO_API_FIELD["body"]] = value |
| |
|
| | @property |
| | def description(self): |
| | """Optional[str]: Description of the routine (defaults to |
| | :data:`None`). |
| | """ |
| | return self._properties.get(self._PROPERTY_TO_API_FIELD["description"]) |
| |
|
| | @description.setter |
| | def description(self, value): |
| | self._properties[self._PROPERTY_TO_API_FIELD["description"]] = value |
| |
|
| | @property |
| | def determinism_level(self): |
| | """Optional[str]: (experimental) The determinism level of the JavaScript UDF |
| | if defined. |
| | """ |
| | return self._properties.get(self._PROPERTY_TO_API_FIELD["determinism_level"]) |
| |
|
| | @determinism_level.setter |
| | def determinism_level(self, value): |
| | self._properties[self._PROPERTY_TO_API_FIELD["determinism_level"]] = value |
| |
|
| | @property |
| | def remote_function_options(self): |
| | """Optional[google.cloud.bigquery.routine.RemoteFunctionOptions]: |
| | Configures remote function options for a routine. |
| | |
| | Raises: |
| | ValueError: |
| | If the value is not |
| | :class:`~google.cloud.bigquery.routine.RemoteFunctionOptions` or |
| | :data:`None`. |
| | """ |
| | prop = self._properties.get( |
| | self._PROPERTY_TO_API_FIELD["remote_function_options"] |
| | ) |
| | if prop is not None: |
| | return RemoteFunctionOptions.from_api_repr(prop) |
| |
|
| | @remote_function_options.setter |
| | def remote_function_options(self, value): |
| | api_repr = value |
| | if isinstance(value, RemoteFunctionOptions): |
| | api_repr = value.to_api_repr() |
| | elif value is not None: |
| | raise ValueError( |
| | "value must be google.cloud.bigquery.routine.RemoteFunctionOptions " |
| | "or None" |
| | ) |
| | self._properties[ |
| | self._PROPERTY_TO_API_FIELD["remote_function_options"] |
| | ] = api_repr |
| |
|
| | @property |
| | def data_governance_type(self): |
| | """Optional[str]: If set to ``DATA_MASKING``, the function is validated |
| | and made available as a masking function. |
| | |
| | Raises: |
| | ValueError: |
| | If the value is not :data:`string` or :data:`None`. |
| | """ |
| | return self._properties.get(self._PROPERTY_TO_API_FIELD["data_governance_type"]) |
| |
|
| | @data_governance_type.setter |
| | def data_governance_type(self, value): |
| | if value is not None and not isinstance(value, str): |
| | raise ValueError( |
| | "invalid data_governance_type, must be a string or `None`." |
| | ) |
| | self._properties[self._PROPERTY_TO_API_FIELD["data_governance_type"]] = value |
| |
|
| | @classmethod |
| | def from_api_repr(cls, resource: dict) -> "Routine": |
| | """Factory: construct a routine given its API representation. |
| | |
| | Args: |
| | resource (Dict[str, object]): |
| | Resource, as returned from the API. |
| | |
| | Returns: |
| | google.cloud.bigquery.routine.Routine: |
| | Python object, as parsed from ``resource``. |
| | """ |
| | ref = cls(RoutineReference.from_api_repr(resource["routineReference"])) |
| | ref._properties = resource |
| | return ref |
| |
|
| | def to_api_repr(self) -> dict: |
| | """Construct the API resource representation of this routine. |
| | |
| | Returns: |
| | Dict[str, object]: Routine represented as an API resource. |
| | """ |
| | return self._properties |
| |
|
| | def _build_resource(self, filter_fields): |
| | """Generate a resource for ``update``.""" |
| | return _helpers._build_resource_from_properties(self, filter_fields) |
| |
|
| | def __repr__(self): |
| | return "Routine('{}.{}.{}')".format( |
| | self.project, self.dataset_id, self.routine_id |
| | ) |
| |
|
| |
|
| | class RoutineArgument(object): |
| | """Input/output argument of a function or a stored procedure. |
| | |
| | See: |
| | https://cloud.google.com/bigquery/docs/reference/rest/v2/routines#argument |
| | |
| | Args: |
| | ``**kwargs`` (Dict): |
| | Initial property values. |
| | """ |
| |
|
| | _PROPERTY_TO_API_FIELD = { |
| | "data_type": "dataType", |
| | "kind": "argumentKind", |
| | |
| | |
| | |
| | "name": "name", |
| | "mode": "mode", |
| | } |
| |
|
| | def __init__(self, **kwargs) -> None: |
| | self._properties: Dict[str, Any] = {} |
| | for property_name in kwargs: |
| | setattr(self, property_name, kwargs[property_name]) |
| |
|
| | @property |
| | def name(self): |
| | """Optional[str]: Name of this argument. |
| | |
| | Can be absent for function return argument. |
| | """ |
| | return self._properties.get(self._PROPERTY_TO_API_FIELD["name"]) |
| |
|
| | @name.setter |
| | def name(self, value): |
| | self._properties[self._PROPERTY_TO_API_FIELD["name"]] = value |
| |
|
| | @property |
| | def kind(self): |
| | """Optional[str]: The kind of argument, for example ``FIXED_TYPE`` or |
| | ``ANY_TYPE``. |
| | |
| | See: |
| | https://cloud.google.com/bigquery/docs/reference/rest/v2/routines#Argument.FIELDS.argument_kind |
| | """ |
| | return self._properties.get(self._PROPERTY_TO_API_FIELD["kind"]) |
| |
|
| | @kind.setter |
| | def kind(self, value): |
| | self._properties[self._PROPERTY_TO_API_FIELD["kind"]] = value |
| |
|
| | @property |
| | def mode(self): |
| | """Optional[str]: The input/output mode of the argument.""" |
| | return self._properties.get(self._PROPERTY_TO_API_FIELD["mode"]) |
| |
|
| | @mode.setter |
| | def mode(self, value): |
| | self._properties[self._PROPERTY_TO_API_FIELD["mode"]] = value |
| |
|
| | @property |
| | def data_type(self): |
| | """Optional[google.cloud.bigquery.StandardSqlDataType]: Type |
| | of a variable, e.g., a function argument. |
| | |
| | See: |
| | https://cloud.google.com/bigquery/docs/reference/rest/v2/routines#Argument.FIELDS.data_type |
| | """ |
| | resource = self._properties.get(self._PROPERTY_TO_API_FIELD["data_type"]) |
| | if not resource: |
| | return resource |
| |
|
| | return StandardSqlDataType.from_api_repr(resource) |
| |
|
| | @data_type.setter |
| | def data_type(self, value): |
| | if value: |
| | resource = value.to_api_repr() |
| | else: |
| | resource = None |
| | self._properties[self._PROPERTY_TO_API_FIELD["data_type"]] = resource |
| |
|
| | @classmethod |
| | def from_api_repr(cls, resource: dict) -> "RoutineArgument": |
| | """Factory: construct a routine argument given its API representation. |
| | |
| | Args: |
| | resource (Dict[str, object]): Resource, as returned from the API. |
| | |
| | Returns: |
| | google.cloud.bigquery.routine.RoutineArgument: |
| | Python object, as parsed from ``resource``. |
| | """ |
| | ref = cls() |
| | ref._properties = resource |
| | return ref |
| |
|
| | def to_api_repr(self) -> dict: |
| | """Construct the API resource representation of this routine argument. |
| | |
| | Returns: |
| | Dict[str, object]: Routine argument represented as an API resource. |
| | """ |
| | return self._properties |
| |
|
| | def __eq__(self, other): |
| | if not isinstance(other, RoutineArgument): |
| | return NotImplemented |
| | return self._properties == other._properties |
| |
|
| | def __ne__(self, other): |
| | return not self == other |
| |
|
| | def __repr__(self): |
| | all_properties = [ |
| | "{}={}".format(property_name, repr(getattr(self, property_name))) |
| | for property_name in sorted(self._PROPERTY_TO_API_FIELD) |
| | ] |
| | return "RoutineArgument({})".format(", ".join(all_properties)) |
| |
|
| |
|
| | class RoutineReference(object): |
| | """A pointer to a routine. |
| | |
| | See: |
| | https://cloud.google.com/bigquery/docs/reference/rest/v2/routines#routinereference |
| | """ |
| |
|
| | def __init__(self): |
| | self._properties = {} |
| |
|
| | @property |
| | def project(self): |
| | """str: ID of the project containing the routine.""" |
| | return self._properties["projectId"] |
| |
|
| | @property |
| | def dataset_id(self): |
| | """str: ID of dataset containing the routine.""" |
| | return self._properties["datasetId"] |
| |
|
| | @property |
| | def routine_id(self): |
| | """str: The routine ID.""" |
| | return self._properties["routineId"] |
| |
|
| | @property |
| | def path(self): |
| | """str: URL path for the routine's APIs.""" |
| | return "/projects/%s/datasets/%s/routines/%s" % ( |
| | self.project, |
| | self.dataset_id, |
| | self.routine_id, |
| | ) |
| |
|
| | @classmethod |
| | def from_api_repr(cls, resource: dict) -> "RoutineReference": |
| | """Factory: construct a routine reference given its API representation. |
| | |
| | Args: |
| | resource (Dict[str, object]): |
| | Routine reference representation returned from the API. |
| | |
| | Returns: |
| | google.cloud.bigquery.routine.RoutineReference: |
| | Routine reference parsed from ``resource``. |
| | """ |
| | ref = cls() |
| | ref._properties = resource |
| | return ref |
| |
|
| | @classmethod |
| | def from_string( |
| | cls, routine_id: str, default_project: Optional[str] = None |
| | ) -> "RoutineReference": |
| | """Factory: construct a routine reference from routine ID string. |
| | |
| | Args: |
| | routine_id (str): |
| | A routine ID in standard SQL format. If ``default_project`` |
| | is not specified, this must included a project ID, dataset |
| | ID, and routine ID, each separated by ``.``. |
| | default_project (Optional[str]): |
| | The project ID to use when ``routine_id`` does not |
| | include a project ID. |
| | |
| | Returns: |
| | google.cloud.bigquery.routine.RoutineReference: |
| | Routine reference parsed from ``routine_id``. |
| | |
| | Raises: |
| | ValueError: |
| | If ``routine_id`` is not a fully-qualified routine ID in |
| | standard SQL format. |
| | """ |
| | proj, dset, routine = _helpers._parse_3_part_id( |
| | routine_id, default_project=default_project, property_name="routine_id" |
| | ) |
| | return cls.from_api_repr( |
| | {"projectId": proj, "datasetId": dset, "routineId": routine} |
| | ) |
| |
|
| | def to_api_repr(self) -> dict: |
| | """Construct the API resource representation of this routine reference. |
| | |
| | Returns: |
| | Dict[str, object]: Routine reference represented as an API resource. |
| | """ |
| | return self._properties |
| |
|
| | def __eq__(self, other): |
| | """Two RoutineReferences are equal if they point to the same routine.""" |
| | if not isinstance(other, RoutineReference): |
| | return NotImplemented |
| | return str(self) == str(other) |
| |
|
| | def __hash__(self): |
| | return hash(str(self)) |
| |
|
| | def __ne__(self, other): |
| | return not self == other |
| |
|
| | def __repr__(self): |
| | return "RoutineReference.from_string('{}')".format(str(self)) |
| |
|
| | def __str__(self): |
| | """String representation of the reference. |
| | |
| | This is a fully-qualified ID, including the project ID and dataset ID. |
| | """ |
| | return "{}.{}.{}".format(self.project, self.dataset_id, self.routine_id) |
| |
|
| |
|
| | class RemoteFunctionOptions(object): |
| | """Configuration options for controlling remote BigQuery functions.""" |
| |
|
| | _PROPERTY_TO_API_FIELD = { |
| | "endpoint": "endpoint", |
| | "connection": "connection", |
| | "max_batching_rows": "maxBatchingRows", |
| | "user_defined_context": "userDefinedContext", |
| | } |
| |
|
| | def __init__( |
| | self, |
| | endpoint=None, |
| | connection=None, |
| | max_batching_rows=None, |
| | user_defined_context=None, |
| | _properties=None, |
| | ) -> None: |
| | if _properties is None: |
| | _properties = {} |
| | self._properties = _properties |
| |
|
| | if endpoint is not None: |
| | self.endpoint = endpoint |
| | if connection is not None: |
| | self.connection = connection |
| | if max_batching_rows is not None: |
| | self.max_batching_rows = max_batching_rows |
| | if user_defined_context is not None: |
| | self.user_defined_context = user_defined_context |
| |
|
| | @property |
| | def connection(self): |
| | """string: Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. |
| | |
| | Format is "projects/{projectId}/locations/{locationId}/connections/{connectionId}" |
| | """ |
| | return _helpers._str_or_none(self._properties.get("connection")) |
| |
|
| | @connection.setter |
| | def connection(self, value): |
| | self._properties["connection"] = _helpers._str_or_none(value) |
| |
|
| | @property |
| | def endpoint(self): |
| | """string: Endpoint of the user-provided remote service |
| | |
| | Example: "https://us-east1-my_gcf_project.cloudfunctions.net/remote_add" |
| | """ |
| | return _helpers._str_or_none(self._properties.get("endpoint")) |
| |
|
| | @endpoint.setter |
| | def endpoint(self, value): |
| | self._properties["endpoint"] = _helpers._str_or_none(value) |
| |
|
| | @property |
| | def max_batching_rows(self): |
| | """int64: Max number of rows in each batch sent to the remote service. |
| | |
| | If absent or if 0, BigQuery dynamically decides the number of rows in a batch. |
| | """ |
| | return _helpers._int_or_none(self._properties.get("maxBatchingRows")) |
| |
|
| | @max_batching_rows.setter |
| | def max_batching_rows(self, value): |
| | self._properties["maxBatchingRows"] = _helpers._str_or_none(value) |
| |
|
| | @property |
| | def user_defined_context(self): |
| | """Dict[str, str]: User-defined context as a set of key/value pairs, |
| | which will be sent as function invocation context together with |
| | batched arguments in the requests to the remote service. The total |
| | number of bytes of keys and values must be less than 8KB. |
| | """ |
| | return self._properties.get("userDefinedContext") |
| |
|
| | @user_defined_context.setter |
| | def user_defined_context(self, value): |
| | if not isinstance(value, dict): |
| | raise ValueError("value must be dictionary") |
| | self._properties["userDefinedContext"] = value |
| |
|
| | @classmethod |
| | def from_api_repr(cls, resource: dict) -> "RemoteFunctionOptions": |
| | """Factory: construct remote function options given its API representation. |
| | |
| | Args: |
| | resource (Dict[str, object]): Resource, as returned from the API. |
| | |
| | Returns: |
| | google.cloud.bigquery.routine.RemoteFunctionOptions: |
| | Python object, as parsed from ``resource``. |
| | """ |
| | ref = cls() |
| | ref._properties = resource |
| | return ref |
| |
|
| | def to_api_repr(self) -> dict: |
| | """Construct the API resource representation of this RemoteFunctionOptions. |
| | |
| | Returns: |
| | Dict[str, object]: Remote function options represented as an API resource. |
| | """ |
| | return self._properties |
| |
|
| | def __eq__(self, other): |
| | if not isinstance(other, RemoteFunctionOptions): |
| | return NotImplemented |
| | return self._properties == other._properties |
| |
|
| | def __ne__(self, other): |
| | return not self == other |
| |
|
| | def __repr__(self): |
| | all_properties = [ |
| | "{}={}".format(property_name, repr(getattr(self, property_name))) |
| | for property_name in sorted(self._PROPERTY_TO_API_FIELD) |
| | ] |
| | return "RemoteFunctionOptions({})".format(", ".join(all_properties)) |
| |
|