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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)) |
|
|