diff --git a/CHANGES b/CHANGES index 16e31626..dc15f49e 100644 --- a/CHANGES +++ b/CHANGES @@ -1,5 +1,5 @@ -main -==== +v 2.1.0rc1 +========== Switch default encode_maps_as_lists_in_tables to "DATAAPIMAPS" (no observable changes w.r.t. previous releases) Bugfix: fix paykload encoding for empty maps/DataAPIMaps User-defined types in tables: @@ -8,6 +8,7 @@ User-defined types in tables: - full support for UDTs in table ddl: `Database.create_table()`/`Database.list_tables()`/`table.definition()` - UDT support in tables: introduced `serializer_by_class` and `deserializer_by_udt` serdes options - UDT support in tables: introduced `DataAPIDictUDT` default dict-wrapper type +Tables, all index creation methods support a `definition` parameter, alternatively to the "column[+options]" call pattern Tables, support for "text indexes": - classes `TableTextIndexDefinition` and `TableTextIndexOptions` (e.g. for `list_indexes()` method) - tables got a `.create_text_index()` method diff --git a/astrapy/data/table.py b/astrapy/data/table.py index 74c908c0..ec972e04 100644 --- a/astrapy/data/table.py +++ b/astrapy/data/table.py @@ -653,8 +653,9 @@ def _create_generic_index( def create_index( self, name: str, - column: str | dict[str, str], + column: str | dict[str, str] | None = None, *, + definition: TableIndexDefinition | dict[str, Any] | None = None, options: TableIndexOptions | dict[str, Any] | None = None, if_not_exists: bool | None = None, table_admin_timeout_ms: int | None = None, @@ -675,11 +676,17 @@ def create_index( name: the name of the index. Index names must be unique across the keyspace. column: the table column on which the index is to be created. For a map column, besides a simple string, it can be an object - in one of the two formats {"column": "$values"}, {"column": "$keys"}, + in one of the two formats {"column": "$values"}, {"column": "$keys"}. + This field must be omitted if passing a full `definition` parameter. + definition: A `TableIndexDefinition`, or an equivalent dictionary, + with the complete specification for the index (including the targeted + column name). If using this parameter, no `column` or `options` are + accepted. options: if passed, it must be an instance of `TableIndexOptions`, or an equivalent dictionary, which specifies index settings such as -- for a text column -- case-sensitivity and so on. See the `astrapy.info.TableIndexOptions` class for more details. + This field must be omitted if passing a full `definition` parameter. if_not_exists: if set to True, the command will succeed even if an index with the specified name already exists (in which case no actual index creation takes place on the database). The API default of False @@ -692,7 +699,7 @@ def create_index( timeout_ms: an alias for `table_admin_timeout_ms`. Examples: - >>> from astrapy.info import TableIndexOptions + >>> from astrapy.info import TableIndexDefinition, TableIndexOptions >>> >>> # create an index on a column >>> my_table.create_index( @@ -710,12 +717,45 @@ def create_index( ... case_sensitive=False, ... ), ... ) + >>> + >>> # create an index on a textual column, using a TableIndexDefinition + >>> my_table.create_index( + ... "venue_index", + ... definition=TableIndexDefinition( + ... column="venue", + ... options=TableIndexOptions( + ... ascii=False, + ... normalize=True, + ... case_sensitive=False, + ... ), + ... ), + ... ) """ - ci_definition: dict[str, Any] = TableIndexDefinition( - column=column, - options=TableIndexOptions.coerce(options or {}), - ).as_dict() + idx_definition: TableIndexDefinition + if definition is not None: + if column is not None: + raise ValueError( + "Parameters 'column' and 'definition' cannot be used " + "simultaneously when creating an index on a Table." + ) + if options is not None: + raise ValueError( + "Parameters 'options' and 'definition' cannot be used " + "simultaneously when creating an index on a Table." + ) + idx_definition = TableIndexDefinition.coerce(definition) + else: + if column is None: + raise ValueError( + "Parameter 'column' is required for an index on a Table if " + "not providing 'definition'." + ) + idx_definition = TableIndexDefinition( + column=column, + options=TableIndexOptions.coerce(options or {}), + ) + ci_definition = idx_definition.as_dict() ci_command = "createIndex" return self._create_generic_index( i_name=name, @@ -730,8 +770,9 @@ def create_index( def create_vector_index( self, name: str, - column: str, + column: str | None = None, *, + definition: TableVectorIndexDefinition | dict[str, Any] | None = None, options: TableVectorIndexOptions | dict[str, Any] | None = None, if_not_exists: bool | None = None, table_admin_timeout_ms: int | None = None, @@ -750,11 +791,17 @@ def create_vector_index( Args: name: the name of the index. Index names must be unique across the keyspace. column: the table column, of type "vector" on which to create the index. + This field must be omitted if passing a full `definition` parameter. + definition: A `TableVectorIndexDefinition`, or an equivalent dictionary, + with the complete specification for the index (including the targeted + column name). If using this parameter, no `column` or `options` are + accepted. options: an instance of `TableVectorIndexOptions`, or an equivalent dictionary, which specifies settings for the vector index, such as the metric to use or, if desired, a "source model" setting. If omitted, the Data API defaults will apply for the index. See the `astrapy.info.TableVectorIndexOptions` class for more details. + This field must be omitted if passing a full `definition` parameter. if_not_exists: if set to True, the command will succeed even if an index with the specified name already exists (in which case no actual index creation takes place on the database). The API default of False @@ -768,7 +815,10 @@ def create_vector_index( Example: >>> from astrapy.constants import VectorMetric - >>> from astrapy.info import TableVectorIndexOptions + >>> from astrapy.info import ( + ... TableVectorIndexDefinition, + ... TableVectorIndexOptions, + ... ) >>> >>> # create a vector index with dot-product similarity >>> my_table.create_vector_index( @@ -778,8 +828,20 @@ def create_vector_index( ... metric=VectorMetric.DOT_PRODUCT, ... ), ... ) - >>> # specify a source_model (since the previous statement - >>> # succeeded, this will do nothing because of `if_not_exists`): + >>> + >>> # create a vector index using a TableVectorIndexDefinition + >>> my_table.create_vector_index( + ... "m_vector_index_2", + ... definition=TableVectorIndexDefinition( + ... column="m_vector_2", + ... options=TableVectorIndexOptions( + ... metric=VectorMetric.DOT_PRODUCT, + ... ), + ... ), + ... ) + >>> + >>> # specify a source_model (if the previous statement + >>> # succeeded, this would do nothing because of `if_not_exists`): >>> my_table.create_vector_index( ... "m_vector_index", ... "m_vector", @@ -799,10 +861,30 @@ def create_vector_index( ... ) """ - ci_definition: dict[str, Any] = TableVectorIndexDefinition( - column=column, - options=TableVectorIndexOptions.coerce(options), - ).as_dict() + idx_definition: TableVectorIndexDefinition + if definition is not None: + if column is not None: + raise ValueError( + "Parameters 'column' and 'definition' cannot be used " + "simultaneously when creating an index on a Table." + ) + if options is not None: + raise ValueError( + "Parameters 'options' and 'definition' cannot be used " + "simultaneously when creating an index on a Table." + ) + idx_definition = TableVectorIndexDefinition.coerce(definition) + else: + if column is None: + raise ValueError( + "Parameter 'column' is required for an index on a Table if " + "not providing 'definition'." + ) + idx_definition = TableVectorIndexDefinition( + column=column, + options=TableVectorIndexOptions.coerce(options or {}), + ) + ci_definition = idx_definition.as_dict() ci_command = "createVectorIndex" return self._create_generic_index( i_name=name, @@ -817,8 +899,9 @@ def create_vector_index( def create_text_index( self, name: str, - column: str, + column: str | None = None, *, + definition: TableTextIndexDefinition | dict[str, Any] | None = None, options: TableTextIndexOptions | dict[str, Any] | None = None, if_not_exists: bool | None = None, table_admin_timeout_ms: int | None = None, @@ -837,11 +920,18 @@ def create_text_index( Args: name: the name of the index. Index names must be unique across the keyspace. column: the column, of type "text"/"ascii", on which to create the index. + This field must be omitted if passing a full `definition` parameter. + definition: A `TableTextIndexDefinition`, or an equivalent dictionary, + with the complete specification for the index (including the targeted + column name). If using this parameter, no `column` or `options` are + accepted. options: an instance of `TableTextIndexOptions`, or an equivalent dictionary, which specifies settings for the text index, in particular the "analyzer" configuration. - If omitted, the Data API defaults will apply for the index. See the `astrapy.info.TableTextIndexOptions` class for more details. + This field must be omitted if passing a full `definition` parameter. + If no options are specified (whether in `definition` or explicitly), + the Data API defaults will apply for the index. if_not_exists: if set to True, the command will succeed even if an index with the specified name already exists (in which case no actual index creation takes place on the database). The API default of False @@ -854,7 +944,7 @@ def create_text_index( timeout_ms: an alias for `table_admin_timeout_ms`. Example: - >>> from astrapy.info import TableTextIndexOptions + >>> from astrapy.info import TableTextIndexDefinition, TableTextIndexOptions >>> >>> # create a text index with the 'whitespace' analyzer >>> my_table.create_text_index( @@ -862,6 +952,16 @@ def create_text_index( ... column="m_text_column", ... options=TableTextIndexOptions(analyzer="whitespace"), ... ) + >>> + >>> # create a text index using a TableTextIndexDefinition + >>> my_table.create_text_index( + ... "m_text_index", + ... definition=TableTextIndexDefinition( + ... column="m_text_column_2", + ... options=TableTextIndexOptions(analyzer="whitespace"), + ... ), + ... ) + >>> >>> # omit the analyzer setting: the default of "standard" will be used. >>> # (if an index with this name exists, this operation won't do nothing >>> # because of if_not_exists.) @@ -870,6 +970,7 @@ def create_text_index( ... column="m_another_text_column", ... if_not_exists=True, ... ) + >>> >>> # provide a full object for the analyzer configuration: >>> # (this one is suitable for English prose.) >>> my_table.create_text_index( @@ -890,10 +991,30 @@ def create_text_index( ... ) """ - ci_definition: dict[str, Any] = TableTextIndexDefinition( - column=column, - options=TableTextIndexOptions.coerce(options), - ).as_dict() + idx_definition: TableTextIndexDefinition + if definition is not None: + if column is not None: + raise ValueError( + "Parameters 'column' and 'definition' cannot be used " + "simultaneously when creating an index on a Table." + ) + if options is not None: + raise ValueError( + "Parameters 'options' and 'definition' cannot be used " + "simultaneously when creating an index on a Table." + ) + idx_definition = TableTextIndexDefinition.coerce(definition) + else: + if column is None: + raise ValueError( + "Parameter 'column' is required for an index on a Table if " + "not providing 'definition'." + ) + idx_definition = TableTextIndexDefinition( + column=column, + options=TableTextIndexOptions.coerce(options or {}), + ) + ci_definition = idx_definition.as_dict() ci_command = "createTextIndex" return self._create_generic_index( i_name=name, @@ -3523,8 +3644,9 @@ async def _create_generic_index( async def create_index( self, name: str, - column: str | dict[str, str], + column: str | dict[str, str] | None = None, *, + definition: TableIndexDefinition | dict[str, Any] | None = None, options: TableIndexOptions | dict[str, Any] | None = None, if_not_exists: bool | None = None, table_admin_timeout_ms: int | None = None, @@ -3545,11 +3667,17 @@ async def create_index( name: the name of the index. Index names must be unique across the keyspace. column: the table column on which the index is to be created. For a map column, besides a simple string, it can be an object - in one of the two formats {"column": "$values"}, {"column": "$keys"}, + in one of the two formats {"column": "$values"}, {"column": "$keys"}. + This field must be omitted if passing a full `definition` parameter. + definition: A `TableIndexDefinition`, or an equivalent dictionary, + with the complete specification for the index (including the targeted + column name). If using this parameter, no `column` or `options` are + accepted. options: if passed, it must be an instance of `TableIndexOptions`, or an equivalent dictionary, which specifies index settings such as -- for a text column -- case-sensitivity and so on. See the `astrapy.info.TableIndexOptions` class for more details. + This field must be omitted if passing a full `definition` parameter. if_not_exists: if set to True, the command will succeed even if an index with the specified name already exists (in which case no actual index creation takes place on the database). The API default of False @@ -3564,7 +3692,7 @@ async def create_index( Examples: >>> # NOTE: may require slight adaptation to an async context. >>> - >>> from astrapy.info import TableIndexOptions + >>> from astrapy.info import TableIndexDefinition, TableIndexOptions >>> >>> # create an index on a column >>> await my_async_table.create_index( @@ -3582,12 +3710,45 @@ async def create_index( ... case_sensitive=False, ... ), ... ) + >>> + >>> # create an index on a textual column, using a TableIndexDefinition + >>> await my_async_table.create_index( + ... "venue_index", + ... definition=TableIndexDefinition( + ... column="venue", + ... options=TableIndexOptions( + ... ascii=False, + ... normalize=True, + ... case_sensitive=False, + ... ), + ... ), + ... ) """ - ci_definition: dict[str, Any] = TableIndexDefinition( - column=column, - options=TableIndexOptions.coerce(options or {}), - ).as_dict() + idx_definition: TableIndexDefinition + if definition is not None: + if column is not None: + raise ValueError( + "Parameters 'column' and 'definition' cannot be used " + "simultaneously when creating an index on a Table." + ) + if options is not None: + raise ValueError( + "Parameters 'options' and 'definition' cannot be used " + "simultaneously when creating an index on a Table." + ) + idx_definition = TableIndexDefinition.coerce(definition) + else: + if column is None: + raise ValueError( + "Parameter 'column' is required for an index on a Table if " + "not providing 'definition'." + ) + idx_definition = TableIndexDefinition( + column=column, + options=TableIndexOptions.coerce(options or {}), + ) + ci_definition = idx_definition.as_dict() ci_command = "createIndex" return await self._create_generic_index( i_name=name, @@ -3602,8 +3763,9 @@ async def create_index( async def create_vector_index( self, name: str, - column: str, + column: str | None = None, *, + definition: TableVectorIndexDefinition | dict[str, Any] | None = None, options: TableVectorIndexOptions | dict[str, Any] | None = None, if_not_exists: bool | None = None, table_admin_timeout_ms: int | None = None, @@ -3622,11 +3784,17 @@ async def create_vector_index( Args: name: the name of the index. Index names must be unique across the keyspace. column: the table column, of type "vector" on which to create the index. + This field must be omitted if passing a full `definition` parameter. + definition: A `TableVectorIndexDefinition`, or an equivalent dictionary, + with the complete specification for the index (including the targeted + column name). If using this parameter, no `column` or `options` are + accepted. options: an instance of `TableVectorIndexOptions`, or an equivalent dictionary, which specifies settings for the vector index, such as the metric to use or, if desired, a "source model" setting. If omitted, the Data API defaults will apply for the index. See the `astrapy.info.TableVectorIndexOptions` class for more details. + This field must be omitted if passing a full `definition` parameter. if_not_exists: if set to True, the command will succeed even if an index with the specified name already exists (in which case no actual index creation takes place on the database). The API default of False @@ -3642,7 +3810,10 @@ async def create_vector_index( >>> # NOTE: may require slight adaptation to an async context. >>> >>> from astrapy.constants import VectorMetric - >>> from astrapy.info import TableVectorIndexOptions + >>> from astrapy.info import ( + ... TableVectorIndexDefinition, + ... TableVectorIndexOptions, + ... ) >>> >>> # create a vector index with dot-product similarity >>> await my_async_table.create_vector_index( @@ -3652,8 +3823,20 @@ async def create_vector_index( ... metric=VectorMetric.DOT_PRODUCT, ... ), ... ) - >>> # specify a source_model (since the previous statement - >>> # succeeded, this will do nothing because of `if_not_exists`): + >>> + >>> # create a vector index using a TableVectorIndexDefinition + >>> await my_async_table.create_vector_index( + ... "m_vector_index_2", + ... definition=TableVectorIndexDefinition( + ... column="m_vector_2", + ... options=TableVectorIndexOptions( + ... metric=VectorMetric.DOT_PRODUCT, + ... ), + ... ), + ... ) + >>> + >>> # specify a source_model (if the previous statement + >>> # succeeded, this would do nothing because of `if_not_exists`): >>> await my_async_table.create_vector_index( ... "m_vector_index", ... "m_vector", @@ -3673,10 +3856,30 @@ async def create_vector_index( ... ) """ - ci_definition: dict[str, Any] = TableVectorIndexDefinition( - column=column, - options=TableVectorIndexOptions.coerce(options), - ).as_dict() + idx_definition: TableVectorIndexDefinition + if definition is not None: + if column is not None: + raise ValueError( + "Parameters 'column' and 'definition' cannot be used " + "simultaneously when creating an index on a Table." + ) + if options is not None: + raise ValueError( + "Parameters 'options' and 'definition' cannot be used " + "simultaneously when creating an index on a Table." + ) + idx_definition = TableVectorIndexDefinition.coerce(definition) + else: + if column is None: + raise ValueError( + "Parameter 'column' is required for an index on a Table if " + "not providing 'definition'." + ) + idx_definition = TableVectorIndexDefinition( + column=column, + options=TableVectorIndexOptions.coerce(options or {}), + ) + ci_definition = idx_definition.as_dict() ci_command = "createVectorIndex" return await self._create_generic_index( i_name=name, @@ -3691,8 +3894,9 @@ async def create_vector_index( async def create_text_index( self, name: str, - column: str, + column: str | None = None, *, + definition: TableTextIndexDefinition | dict[str, Any] | None = None, options: TableTextIndexOptions | dict[str, Any] | None = None, if_not_exists: bool | None = None, table_admin_timeout_ms: int | None = None, @@ -3711,11 +3915,18 @@ async def create_text_index( Args: name: the name of the index. Index names must be unique across the keyspace. column: the column, of type "text"/"ascii", on which to create the index. + This field must be omitted if passing a full `definition` parameter. + definition: A `TableTextIndexDefinition`, or an equivalent dictionary, + with the complete specification for the index (including the targeted + column name). If using this parameter, no `column` or `options` are + accepted. options: an instance of `TableTextIndexOptions`, or an equivalent dictionary, which specifies settings for the text index, in particular the "analyzer" configuration. - If omitted, the Data API defaults will apply for the index. See the `astrapy.info.TableTextIndexOptions` class for more details. + This field must be omitted if passing a full `definition` parameter. + If no options are specified (whether in `definition` or explicitly), + the Data API defaults will apply for the index. if_not_exists: if set to True, the command will succeed even if an index with the specified name already exists (in which case no actual index creation takes place on the database). The API default of False @@ -3730,25 +3941,36 @@ async def create_text_index( Example: >>> # NOTE: may require slight adaptation to an async context. >>> - >>> from astrapy.info import TableTextIndexOptions + >>> from astrapy.info import TableTextIndexDefinition, TableTextIndexOptions >>> >>> # create a text index with the 'whitespace' analyzer - >>> await my_table.create_text_index( + >>> await my_async_table.create_text_index( ... "m_text_index", ... column="m_text_column", ... options=TableTextIndexOptions(analyzer="whitespace"), ... ) + >>> + >>> # create a text index using a TableTextIndexDefinition + >>> await my_async_table.create_text_index( + ... "m_text_index", + ... definition=TableTextIndexDefinition( + ... column="m_text_column_2", + ... options=TableTextIndexOptions(analyzer="whitespace"), + ... ), + ... ) + >>> >>> # omit the analyzer setting: the default of "standard" will be used. >>> # (if an index with this name exists, this operation won't do nothing >>> # because of if_not_exists.) - >>> await my_table.create_text_index( + >>> await my_async_table.create_text_index( ... "m_text_index_default", ... column="m_another_text_column", ... if_not_exists=True, ... ) + >>> >>> # provide a full object for the analyzer configuration: >>> # (this one is suitable for English prose.) - >>> await my_table.create_text_index( + >>> await my_async_table.create_text_index( ... "m_text_index_2", ... column="m_yet_another_text_column", ... options=TableTextIndexOptions( @@ -3766,10 +3988,30 @@ async def create_text_index( ... ) """ - ci_definition: dict[str, Any] = TableTextIndexDefinition( - column=column, - options=TableTextIndexOptions.coerce(options), - ).as_dict() + idx_definition: TableTextIndexDefinition + if definition is not None: + if column is not None: + raise ValueError( + "Parameters 'column' and 'definition' cannot be used " + "simultaneously when creating an index on a Table." + ) + if options is not None: + raise ValueError( + "Parameters 'options' and 'definition' cannot be used " + "simultaneously when creating an index on a Table." + ) + idx_definition = TableTextIndexDefinition.coerce(definition) + else: + if column is None: + raise ValueError( + "Parameter 'column' is required for an index on a Table if " + "not providing 'definition'." + ) + idx_definition = TableTextIndexDefinition( + column=column, + options=TableTextIndexOptions.coerce(options or {}), + ) + ci_definition = idx_definition.as_dict() ci_command = "createTextIndex" return await self._create_generic_index( i_name=name, diff --git a/astrapy/data/utils/collection_converters.py b/astrapy/data/utils/collection_converters.py index c808b47d..43c188af 100644 --- a/astrapy/data/utils/collection_converters.py +++ b/astrapy/data/utils/collection_converters.py @@ -67,24 +67,17 @@ def preprocess_collection_payload_value( or isinstance(_value, DataAPIVector) ): _value = convert_vector_to_floats(_value) - # now _value is either a list or a DataAPIVector. - # can/should it be binary-encoded? - can_bin_encode = path[0] in {"insertOne", "insertMany"} - # will it be bin-encoded? + # now _value is either a list or a DataAPIVector. Check for binary-encoding: if isinstance(_value, DataAPIVector): - # if I can, I will - if can_bin_encode and options.binary_encode_vectors: + # Binary-encode if serdes options allow it + if options.binary_encode_vectors: return convert_to_ejson_bytes(_value.to_bytes()) else: # back to a regular list return _value.data else: - # this is a list. Encode if serdes options allow it - if ( - can_bin_encode - and options.binary_encode_vectors - and isinstance(_value, list) - ): + # if this is a list, encode if serdes options allow it: + if options.binary_encode_vectors and isinstance(_value, list): return convert_to_ejson_bytes(DataAPIVector(_value).to_bytes()) else: return _value diff --git a/pyproject.toml b/pyproject.toml index f74cc197..4480c02a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,7 +1,7 @@ [project] requires-python = ">=3.8,<4.0" name = "astrapy" -version = "2.0.1" +version = "2.1.0rc1" description = "A Python client for the Data API on DataStax Astra DB" authors = [ {"name" = "Stefano Lottini", "email" = "stefano.lottini@datastax.com"}, diff --git a/tests/base/collection_decimal_support_assets.py b/tests/base/collection_decimal_support_assets.py index 67ba8898..dffb9282 100644 --- a/tests/base/collection_decimal_support_assets.py +++ b/tests/base/collection_decimal_support_assets.py @@ -20,26 +20,10 @@ from astrapy.utils.api_options import SerdesOptions, defaultSerdesOptions S_OPTS_NO_DECS = defaultSerdesOptions.with_override( - SerdesOptions( - binary_encode_vectors=False, - custom_datatypes_in_reading=True, - unroll_iterables_to_lists=True, - use_decimals_in_collections=False, - encode_maps_as_lists_in_tables="NEVER", - accept_naive_datetimes=False, - datetime_tzinfo=None, - ), + SerdesOptions(use_decimals_in_collections=False), ) S_OPTS_OK_DECS = defaultSerdesOptions.with_override( - SerdesOptions( - binary_encode_vectors=False, - custom_datatypes_in_reading=True, - unroll_iterables_to_lists=True, - use_decimals_in_collections=True, - encode_maps_as_lists_in_tables="NEVER", - accept_naive_datetimes=False, - datetime_tzinfo=None, - ), + SerdesOptions(use_decimals_in_collections=True), ) _BASELINE_SCALAR_CASES = { "_id": "baseline", diff --git a/tests/base/integration/collections/test_collection_dml_async.py b/tests/base/integration/collections/test_collection_dml_async.py index dffc282d..18bac870 100644 --- a/tests/base/integration/collections/test_collection_dml_async.py +++ b/tests/base/integration/collections/test_collection_dml_async.py @@ -259,16 +259,12 @@ async def test_collection_vector_insertion_options_async( acollection_Ycc = async_empty_collection.with_options( api_options=APIOptions( - serdes_options=SerdesOptions( - custom_datatypes_in_reading=True, - ), + serdes_options=SerdesOptions(custom_datatypes_in_reading=True), ), ) acollection_Ncc = async_empty_collection.with_options( api_options=APIOptions( - serdes_options=SerdesOptions( - custom_datatypes_in_reading=False, - ), + serdes_options=SerdesOptions(custom_datatypes_in_reading=False), ), ) docs_Ycc = [ @@ -723,9 +719,7 @@ async def test_collection_distinct_nonhashable_async( d_items_noncustom = await acol.with_options( api_options=APIOptions( - serdes_options=SerdesOptions( - custom_datatypes_in_reading=False, - ) + serdes_options=SerdesOptions(custom_datatypes_in_reading=False) ), ).distinct("f") assert len(d_items_noncustom) == 8 @@ -1239,16 +1233,12 @@ async def test_custom_datatypes_in_reading_async( ) -> None: acol_standard_dtypes = async_empty_collection.with_options( api_options=APIOptions( - serdes_options=SerdesOptions( - custom_datatypes_in_reading=False, - ), + serdes_options=SerdesOptions(custom_datatypes_in_reading=False), ), ) acol_custom_dtypes = async_empty_collection.with_options( api_options=APIOptions( - serdes_options=SerdesOptions( - custom_datatypes_in_reading=True, - ), + serdes_options=SerdesOptions(custom_datatypes_in_reading=True), ), ) the_dtime = datetime(2000, 1, 1, 10, 11, 12, 123000, tzinfo=timezone.utc) @@ -2004,3 +1994,127 @@ async def test_collection_datatype_insertability_async( ) < one_day_ms ) + + @pytest.mark.describe( + "test of collection binary-encoding vectors everywhere, async" + ) + async def test_collection_binencvectors_everywhere_async( + self, + async_empty_collection: DefaultAsyncCollection, + ) -> None: + binenc_options = APIOptions( + serdes_options=SerdesOptions(binary_encode_vectors=True), + ) + binenc_acoll = async_empty_collection.with_options(api_options=binenc_options) + + # Using DataAPIVector (the serializer binary-encodes all of these) + await binenc_acoll.insert_one({"_id": "0", "$vector": DataAPIVector([1, 1])}) + await binenc_acoll.insert_many( + [{"_id": "X1", "$vector": DataAPIVector([1, 1])}] + ) + await binenc_acoll.update_one( + {"_id": "0"}, {"$set": {"$vector": DataAPIVector([0, 1])}}, upsert=True + ) + await binenc_acoll.update_one( + {"_id": "X2"}, + {"$setOnInsert": {"$vector": DataAPIVector([0, 1])}}, + upsert=True, + ) + await binenc_acoll.update_one( + {}, + sort={"$vector": DataAPIVector([-1, 0])}, + update={"$set": {"oc": "ooo0"}}, + upsert=True, + ) + await binenc_acoll.update_many( + {"_id": "0"}, {"$set": {"$vector": DataAPIVector([0, 1])}}, upsert=True + ) + await binenc_acoll.update_many( + {"_id": "X3"}, + {"$setOnInsert": {"$vector": DataAPIVector([0, 1])}}, + upsert=True, + ) + await binenc_acoll.replace_one( + {"_id": "0"}, {"$vector": DataAPIVector([1, 2])}, upsert=True + ) + await binenc_acoll.replace_one( + {}, {"oc": "ooo1"}, sort={"$vector": DataAPIVector([4, 1])}, upsert=True + ) + await binenc_acoll.delete_one({}, sort={"$vector": DataAPIVector([5, 4])}) + await binenc_acoll.find_one(sort={"$vector": DataAPIVector([5, 4])}) + await binenc_acoll.find(sort={"$vector": DataAPIVector([5, 4])}).to_list() + await binenc_acoll.find_and_rerank( + {}, + sort={"$hybrid": {"$vector": DataAPIVector([-1, -2]), "$lexical": "bla"}}, + rerank_query="bla", + rerank_on="$lexical", + ).to_list() + await binenc_acoll.find_one_and_replace( + {}, {"$vector": DataAPIVector([5, 4])}, upsert=True + ) + await binenc_acoll.find_one_and_replace( + {}, {"oc": "ooo2"}, sort={"$vector": DataAPIVector([9, 1])}, upsert=True + ) + await binenc_acoll.find_one_and_delete( + {}, sort={"$vector": DataAPIVector([9, 1])} + ) + await binenc_acoll.find_one_and_update( + {"_id": "0"}, {"$set": {"$vector": DataAPIVector([5, 2])}}, upsert=True + ) + await binenc_acoll.find_one_and_update( + {"_id": "X4"}, + {"$setOnInsert": {"$vector": DataAPIVector([5, 2])}}, + upsert=True, + ) + await binenc_acoll.find_one_and_update( + {}, + {"$set": {"oc": "ooo3"}}, + sort={"$vector": DataAPIVector([7, 1])}, + upsert=True, + ) + + # Using a plain list (the serializer binary-encodes all of these anyway) + await binenc_acoll.insert_one({"_id": "L0", "$vector": [1, 1]}) + await binenc_acoll.insert_many([{"_id": "LX1", "$vector": [1, 1]}]) + await binenc_acoll.update_one( + {"_id": "L0"}, {"$set": {"$vector": [0, 1]}}, upsert=True + ) + await binenc_acoll.update_one( + {"_id": "LX2"}, {"$setOnInsert": {"$vector": [0, 1]}}, upsert=True + ) + await binenc_acoll.update_one( + {}, sort={"$vector": [-1, 0]}, update={"$set": {"oc": "qqq0"}}, upsert=True + ) + await binenc_acoll.update_many( + {"_id": "L0"}, {"$set": {"$vector": [0, 1]}}, upsert=True + ) + await binenc_acoll.update_many( + {"_id": "LX3"}, {"$setOnInsert": {"$vector": [0, 1]}}, upsert=True + ) + await binenc_acoll.replace_one({"_id": "L0"}, {"$vector": [1, 2]}, upsert=True) + await binenc_acoll.replace_one( + {}, {"oc": "qqq1"}, sort={"$vector": [4, 1]}, upsert=True + ) + await binenc_acoll.delete_one({}, sort={"$vector": [5, 4]}) + await binenc_acoll.find_one(sort={"$vector": [5, 4]}) + await binenc_acoll.find(sort={"$vector": [5, 4]}).to_list() + await binenc_acoll.find_and_rerank( + {}, + sort={"$hybrid": {"$vector": [-1, -2], "$lexical": "bla"}}, + rerank_query="bla", + rerank_on="$lexical", + ).to_list() + await binenc_acoll.find_one_and_replace({}, {"$vector": [5, 4]}, upsert=True) + await binenc_acoll.find_one_and_replace( + {}, {"oc": "qqq2"}, sort={"$vector": [9, 1]}, upsert=True + ) + await binenc_acoll.find_one_and_delete({}, sort={"$vector": [9, 1]}) + await binenc_acoll.find_one_and_update( + {"_id": "L0"}, {"$set": {"$vector": [5, 2]}}, upsert=True + ) + await binenc_acoll.find_one_and_update( + {"_id": "LX4"}, {"$setOnInsert": {"$vector": [5, 2]}}, upsert=True + ) + await binenc_acoll.find_one_and_update( + {}, {"$set": {"oc": "qqq3"}}, sort={"$vector": [7, 1]}, upsert=True + ) diff --git a/tests/base/integration/collections/test_collection_dml_sync.py b/tests/base/integration/collections/test_collection_dml_sync.py index c4917c39..3302f58b 100644 --- a/tests/base/integration/collections/test_collection_dml_sync.py +++ b/tests/base/integration/collections/test_collection_dml_sync.py @@ -235,16 +235,12 @@ def test_collection_vector_insertion_options_sync( collection_Ycc = sync_empty_collection.with_options( api_options=APIOptions( - serdes_options=SerdesOptions( - custom_datatypes_in_reading=True, - ), + serdes_options=SerdesOptions(custom_datatypes_in_reading=True), ), ) collection_Ncc = sync_empty_collection.with_options( api_options=APIOptions( - serdes_options=SerdesOptions( - custom_datatypes_in_reading=False, - ), + serdes_options=SerdesOptions(custom_datatypes_in_reading=False), ), ) docs_Ycc = list(collection_Ycc.find(projection={"$vector": True})) @@ -662,9 +658,7 @@ def test_collection_distinct_nonhashable_sync( d_items_noncustom = col.with_options( api_options=APIOptions( - serdes_options=SerdesOptions( - custom_datatypes_in_reading=False, - ) + serdes_options=SerdesOptions(custom_datatypes_in_reading=False) ), ).distinct("f") assert len(d_items_noncustom) == 8 @@ -1169,16 +1163,12 @@ def test_custom_datatypes_in_reading_sync( ) -> None: col_standard_dtypes = sync_empty_collection.with_options( api_options=APIOptions( - serdes_options=SerdesOptions( - custom_datatypes_in_reading=False, - ), + serdes_options=SerdesOptions(custom_datatypes_in_reading=False), ), ) col_custom_dtypes = sync_empty_collection.with_options( api_options=APIOptions( - serdes_options=SerdesOptions( - custom_datatypes_in_reading=True, - ), + serdes_options=SerdesOptions(custom_datatypes_in_reading=True), ), ) the_dtime = datetime(2000, 1, 1, 10, 11, 12, 123000, tzinfo=timezone.utc) @@ -1901,3 +1891,121 @@ def test_collection_datatype_insertability_sync( ) < one_day_ms ) + + @pytest.mark.describe("test of collection binary-encoding vectors everywhere, sync") + def test_collection_binencvectors_everywhere_sync( + self, + sync_empty_collection: DefaultCollection, + ) -> None: + binenc_options = APIOptions( + serdes_options=SerdesOptions(binary_encode_vectors=True), + ) + binenc_coll = sync_empty_collection.with_options(api_options=binenc_options) + + # Using DataAPIVector (the serializer binary-encodes all of these) + binenc_coll.insert_one({"_id": "0", "$vector": DataAPIVector([1, 1])}) + binenc_coll.insert_many([{"_id": "X1", "$vector": DataAPIVector([1, 1])}]) + binenc_coll.update_one( + {"_id": "0"}, {"$set": {"$vector": DataAPIVector([0, 1])}}, upsert=True + ) + binenc_coll.update_one( + {"_id": "X2"}, + {"$setOnInsert": {"$vector": DataAPIVector([0, 1])}}, + upsert=True, + ) + binenc_coll.update_one( + {}, + sort={"$vector": DataAPIVector([-1, 0])}, + update={"$set": {"oc": "ooo0"}}, + upsert=True, + ) + binenc_coll.update_many( + {"_id": "0"}, {"$set": {"$vector": DataAPIVector([0, 1])}}, upsert=True + ) + binenc_coll.update_many( + {"_id": "X3"}, + {"$setOnInsert": {"$vector": DataAPIVector([0, 1])}}, + upsert=True, + ) + binenc_coll.replace_one( + {"_id": "0"}, {"$vector": DataAPIVector([1, 2])}, upsert=True + ) + binenc_coll.replace_one( + {}, {"oc": "ooo1"}, sort={"$vector": DataAPIVector([4, 1])}, upsert=True + ) + binenc_coll.delete_one({}, sort={"$vector": DataAPIVector([5, 4])}) + binenc_coll.find_one(sort={"$vector": DataAPIVector([5, 4])}) + binenc_coll.find(sort={"$vector": DataAPIVector([5, 4])}).to_list() + binenc_coll.find_and_rerank( + {}, + sort={"$hybrid": {"$vector": DataAPIVector([-1, -2]), "$lexical": "bla"}}, + rerank_query="bla", + rerank_on="$lexical", + ).to_list() + binenc_coll.find_one_and_replace( + {}, {"$vector": DataAPIVector([5, 4])}, upsert=True + ) + binenc_coll.find_one_and_replace( + {}, {"oc": "ooo2"}, sort={"$vector": DataAPIVector([9, 1])}, upsert=True + ) + binenc_coll.find_one_and_delete({}, sort={"$vector": DataAPIVector([9, 1])}) + binenc_coll.find_one_and_update( + {"_id": "0"}, {"$set": {"$vector": DataAPIVector([5, 2])}}, upsert=True + ) + binenc_coll.find_one_and_update( + {"_id": "X4"}, + {"$setOnInsert": {"$vector": DataAPIVector([5, 2])}}, + upsert=True, + ) + binenc_coll.find_one_and_update( + {}, + {"$set": {"oc": "ooo3"}}, + sort={"$vector": DataAPIVector([7, 1])}, + upsert=True, + ) + + # Using a plain list (the serializer binary-encodes all of these anyway) + binenc_coll.insert_one({"_id": "L0", "$vector": [1, 1]}) + binenc_coll.insert_many([{"_id": "LX1", "$vector": [1, 1]}]) + binenc_coll.update_one( + {"_id": "L0"}, {"$set": {"$vector": [0, 1]}}, upsert=True + ) + binenc_coll.update_one( + {"_id": "LX2"}, {"$setOnInsert": {"$vector": [0, 1]}}, upsert=True + ) + binenc_coll.update_one( + {}, sort={"$vector": [-1, 0]}, update={"$set": {"oc": "qqq0"}}, upsert=True + ) + binenc_coll.update_many( + {"_id": "L0"}, {"$set": {"$vector": [0, 1]}}, upsert=True + ) + binenc_coll.update_many( + {"_id": "LX3"}, {"$setOnInsert": {"$vector": [0, 1]}}, upsert=True + ) + binenc_coll.replace_one({"_id": "L0"}, {"$vector": [1, 2]}, upsert=True) + binenc_coll.replace_one( + {}, {"oc": "qqq1"}, sort={"$vector": [4, 1]}, upsert=True + ) + binenc_coll.delete_one({}, sort={"$vector": [5, 4]}) + binenc_coll.find_one(sort={"$vector": [5, 4]}) + binenc_coll.find(sort={"$vector": [5, 4]}).to_list() + binenc_coll.find_and_rerank( + {}, + sort={"$hybrid": {"$vector": [-1, -2], "$lexical": "bla"}}, + rerank_query="bla", + rerank_on="$lexical", + ).to_list() + binenc_coll.find_one_and_replace({}, {"$vector": [5, 4]}, upsert=True) + binenc_coll.find_one_and_replace( + {}, {"oc": "qqq2"}, sort={"$vector": [9, 1]}, upsert=True + ) + binenc_coll.find_one_and_delete({}, sort={"$vector": [9, 1]}) + binenc_coll.find_one_and_update( + {"_id": "L0"}, {"$set": {"$vector": [5, 2]}}, upsert=True + ) + binenc_coll.find_one_and_update( + {"_id": "LX4"}, {"$setOnInsert": {"$vector": [5, 2]}}, upsert=True + ) + binenc_coll.find_one_and_update( + {}, {"$set": {"oc": "qqq3"}}, sort={"$vector": [7, 1]}, upsert=True + ) diff --git a/tests/base/integration/tables/test_table_column_types_async.py b/tests/base/integration/tables/test_table_column_types_async.py index 40144030..e7eee552 100644 --- a/tests/base/integration/tables/test_table_column_types_async.py +++ b/tests/base/integration/tables/test_table_column_types_async.py @@ -33,9 +33,7 @@ async def test_table_write_then_read_customtypes_async( ) -> None: cdtypes_atable = async_empty_table_all_returns.with_options( api_options=APIOptions( - serdes_options=SerdesOptions( - custom_datatypes_in_reading=True, - ), + serdes_options=SerdesOptions(custom_datatypes_in_reading=True), ), ) await cdtypes_atable.insert_one(FULL_AR_ROW_CUSTOMTYPED) @@ -49,9 +47,7 @@ async def test_table_write_then_read_noncustomtypes_async( ) -> None: rdtypes_atable = async_empty_table_all_returns.with_options( api_options=APIOptions( - serdes_options=SerdesOptions( - custom_datatypes_in_reading=False, - ), + serdes_options=SerdesOptions(custom_datatypes_in_reading=False), ), ) await rdtypes_atable.insert_one(FULL_AR_ROW_NONCUSTOMTYPED) diff --git a/tests/base/integration/tables/test_table_column_types_sync.py b/tests/base/integration/tables/test_table_column_types_sync.py index 4f3f9073..f1a9dbc3 100644 --- a/tests/base/integration/tables/test_table_column_types_sync.py +++ b/tests/base/integration/tables/test_table_column_types_sync.py @@ -33,9 +33,7 @@ def test_table_write_then_read_customtypes_sync( ) -> None: cdtypes_table = sync_empty_table_all_returns.with_options( api_options=APIOptions( - serdes_options=SerdesOptions( - custom_datatypes_in_reading=True, - ), + serdes_options=SerdesOptions(custom_datatypes_in_reading=True), ), ) cdtypes_table.insert_one(FULL_AR_ROW_CUSTOMTYPED) @@ -49,9 +47,7 @@ def test_table_write_then_read_noncustomtypes_sync( ) -> None: rdtypes_table = sync_empty_table_all_returns.with_options( api_options=APIOptions( - serdes_options=SerdesOptions( - custom_datatypes_in_reading=False, - ), + serdes_options=SerdesOptions(custom_datatypes_in_reading=False), ), ) rdtypes_table.insert_one(FULL_AR_ROW_NONCUSTOMTYPED) diff --git a/tests/base/integration/tables/test_table_dml_async.py b/tests/base/integration/tables/test_table_dml_async.py index 59b4f88f..93719acd 100644 --- a/tests/base/integration/tables/test_table_dml_async.py +++ b/tests/base/integration/tables/test_table_dml_async.py @@ -97,6 +97,13 @@ async def test_table_insert_one_find_one_async( assert no_row_0b is None # ANN and non-ANN sorting in find_one + await async_empty_table_composite.insert_one( + { + "p_text": "pA", + "p_int": 0, + "p_vector": DataAPIVector([0, 1, 0]), + } + ) await async_empty_table_composite.insert_many( [ { @@ -690,16 +697,12 @@ async def test_table_include_sort_vector_serdes_options_async( ) -> None: acol_v0 = async_table_simple.with_options( api_options=APIOptions( - serdes_options=SerdesOptions( - custom_datatypes_in_reading=False, - ), + serdes_options=SerdesOptions(custom_datatypes_in_reading=False), ), ) acol_v1 = async_table_simple.with_options( api_options=APIOptions( - serdes_options=SerdesOptions( - custom_datatypes_in_reading=True, - ), + serdes_options=SerdesOptions(custom_datatypes_in_reading=True), ), ) cur0_v0_inpf = acol_v0.find(sort={"p_vector": [1, 2, 3]}) diff --git a/tests/base/integration/tables/test_table_dml_sync.py b/tests/base/integration/tables/test_table_dml_sync.py index 3b87fe6a..7dd3bb04 100644 --- a/tests/base/integration/tables/test_table_dml_sync.py +++ b/tests/base/integration/tables/test_table_dml_sync.py @@ -97,6 +97,13 @@ def test_table_insert_one_find_one_sync( assert no_row_0b is None # ANN and non-ANN sorting in find_one + sync_empty_table_composite.insert_one( + { + "p_text": "pA", + "p_int": 0, + "p_vector": DataAPIVector([0, 1, 0]), + } + ) sync_empty_table_composite.insert_many( [ { @@ -670,16 +677,12 @@ def test_table_include_sort_vector_serdes_options_sync( ) -> None: col_v0 = sync_table_simple.with_options( api_options=APIOptions( - serdes_options=SerdesOptions( - custom_datatypes_in_reading=False, - ), + serdes_options=SerdesOptions(custom_datatypes_in_reading=False), ), ) col_v1 = sync_table_simple.with_options( api_options=APIOptions( - serdes_options=SerdesOptions( - custom_datatypes_in_reading=True, - ), + serdes_options=SerdesOptions(custom_datatypes_in_reading=True), ), ) cur0_v0_inpf = col_v0.find(sort={"p_vector": [1, 2, 3]}) diff --git a/tests/base/integration/tables/test_table_lifecycle_async.py b/tests/base/integration/tables/test_table_lifecycle_async.py index 3f32f85f..b212e6d4 100644 --- a/tests/base/integration/tables/test_table_lifecycle_async.py +++ b/tests/base/integration/tables/test_table_lifecycle_async.py @@ -792,3 +792,179 @@ async def test_table_simpleudt_crd_async( ) finally: await atable.drop() + + @pytest.mark.describe("test of table index creation dict call patterns, async") + async def test_tableindex_creationdictpatterns_async( + self, + async_database: AsyncDatabase, + ) -> None: + try: + atable = await async_database.create_table( + "table_for_idxcallpattern_dict", + definition=CreateTableDefinition( + columns={ + "id": TableScalarColumnTypeDescriptor("text"), + "a1": TableScalarColumnTypeDescriptor("ascii"), + "a2": TableScalarColumnTypeDescriptor("ascii"), + "a3": TableScalarColumnTypeDescriptor("ascii"), + "s1": TableScalarColumnTypeDescriptor("text"), + "s2": TableScalarColumnTypeDescriptor("text"), + "s3": TableScalarColumnTypeDescriptor("text"), + "v1": TableVectorColumnTypeDescriptor(dimension=2), + "v2": TableVectorColumnTypeDescriptor(dimension=2), + "v3": TableVectorColumnTypeDescriptor(dimension=2), + }, + primary_key=TablePrimaryKeyDescriptor( + partition_by=["id"], + partition_sort={}, + ), + ), + ) + + # create_index, working patterns + await atable.create_index("test_idx_a1", "a1", options={"ascii": True}) + await atable.create_index("test_idx_a2", "a2") + await atable.create_index( + "test_idx_a3", definition={"column": "a3", "options": {"ascii": True}} + ) + # create_index, failing patterns + with pytest.raises(ValueError, match="cannot be used simultaneously"): + await atable.create_index("x", "x", definition={}, options={}) + with pytest.raises(ValueError, match="cannot be used simultaneously"): + await atable.create_index("x", "x", definition={}) + with pytest.raises(ValueError, match="cannot be used simultaneously"): + await atable.create_index("x", definition={}, options={}) + with pytest.raises(ValueError, match="is required for an index"): + await atable.create_index("x", options={}) + with pytest.raises(ValueError, match="is required for an index"): + await atable.create_index("x") + + # create_vector_index, working patterns + await atable.create_vector_index( + "test_idx_v1", "v1", options={"metric": "EUCLIDEAN"} + ) + await atable.create_vector_index("test_idx_v2", "v2") + await atable.create_vector_index( + "test_idx_v3", + definition={"column": "v3", "options": {"metric": "EUCLIDEAN"}}, + ) + # create_vector_index, failing patterns + with pytest.raises(ValueError, match="cannot be used simultaneously"): + await atable.create_vector_index("x", "x", definition={}, options={}) + with pytest.raises(ValueError, match="cannot be used simultaneously"): + await atable.create_vector_index("x", "x", definition={}) + with pytest.raises(ValueError, match="cannot be used simultaneously"): + await atable.create_vector_index("x", definition={}, options={}) + with pytest.raises(ValueError, match="is required for an index"): + await atable.create_vector_index("x", options={}) + with pytest.raises(ValueError, match="is required for an index"): + await atable.create_vector_index("x") + + # create_text_index, working patterns + await atable.create_text_index( + "test_idx_s1", "s1", options={"analyzer": "whitespace"} + ) + await atable.create_text_index("test_idx_s2", "s2") + await atable.create_text_index( + "test_idx_s3", + definition={"column": "s3", "options": {"analyzer": "whitespace"}}, + ) + # create_text_index, failing patterns + with pytest.raises(ValueError, match="cannot be used simultaneously"): + await atable.create_text_index("x", "x", definition={}, options={}) + with pytest.raises(ValueError, match="cannot be used simultaneously"): + await atable.create_text_index("x", "x", definition={}) + with pytest.raises(ValueError, match="cannot be used simultaneously"): + await atable.create_text_index("x", definition={}, options={}) + with pytest.raises(ValueError, match="is required for an index"): + await atable.create_text_index("x", options={}) + with pytest.raises(ValueError, match="is required for an index"): + await atable.create_text_index("x") + + # some indexes should formally coincide: + indexes = await atable.list_indexes() + options_per_idx = { + idx.name: idx.definition.as_dict().get("options") for idx in indexes + } + assert options_per_idx["test_idx_a1"] == options_per_idx["test_idx_a3"] + assert options_per_idx["test_idx_v1"] == options_per_idx["test_idx_v3"] + assert options_per_idx["test_idx_s1"] == options_per_idx["test_idx_s3"] + finally: + await async_database.drop_table("table_for_idxcallpattern_dict") + + @pytest.mark.describe("test of table index creation object call patterns, async") + async def test_tableindex_creationobjpatterns_async( + self, + async_database: AsyncDatabase, + ) -> None: + try: + atable = await async_database.create_table( + "table_for_idxcallpattern_obj", + definition=CreateTableDefinition( + columns={ + "id": TableScalarColumnTypeDescriptor("text"), + "a1": TableScalarColumnTypeDescriptor("ascii"), + "a2": TableScalarColumnTypeDescriptor("ascii"), + "a3": TableScalarColumnTypeDescriptor("ascii"), + "s1": TableScalarColumnTypeDescriptor("text"), + "s2": TableScalarColumnTypeDescriptor("text"), + "s3": TableScalarColumnTypeDescriptor("text"), + "v1": TableVectorColumnTypeDescriptor(dimension=2), + "v2": TableVectorColumnTypeDescriptor(dimension=2), + "v3": TableVectorColumnTypeDescriptor(dimension=2), + }, + primary_key=TablePrimaryKeyDescriptor( + partition_by=["id"], + partition_sort={}, + ), + ), + ) + + # create_index, working patterns + await atable.create_index( + "test_idx_a1", "a1", options=TableIndexOptions(ascii=True) + ) + await atable.create_index("test_idx_a2", "a2") + await atable.create_index( + "test_idx_a3", + definition=TableIndexDefinition( + column="a3", options=TableIndexOptions(ascii=True) + ), + ) + + # create_vector_index, working patterns + await atable.create_vector_index( + "test_idx_v1", "v1", options=TableVectorIndexOptions(metric="EUCLIDEAN") + ) + await atable.create_vector_index("test_idx_v2", "v2") + await atable.create_vector_index( + "test_idx_v3", + definition=TableVectorIndexDefinition( + column="v3", options=TableVectorIndexOptions(metric="EUCLIDEAN") + ), + ) + + # create_text_index, working patterns + await atable.create_text_index( + "test_idx_s1", + "s1", + options=TableTextIndexOptions(analyzer="whitespace"), + ) + await atable.create_text_index("test_idx_s2", "s2") + await atable.create_text_index( + "test_idx_s3", + definition=TableTextIndexDefinition( + column="s3", options=TableTextIndexOptions(analyzer="whitespace") + ), + ) + + # some indexes should formally coincide: + indexes = await atable.list_indexes() + options_per_idx = { + idx.name: idx.definition.as_dict().get("options") for idx in indexes + } + assert options_per_idx["test_idx_a1"] == options_per_idx["test_idx_a3"] + assert options_per_idx["test_idx_v1"] == options_per_idx["test_idx_v3"] + assert options_per_idx["test_idx_s1"] == options_per_idx["test_idx_s3"] + finally: + await async_database.drop_table("table_for_idxcallpattern_obj") diff --git a/tests/base/integration/tables/test_table_lifecycle_sync.py b/tests/base/integration/tables/test_table_lifecycle_sync.py index b5d852a1..0319bcf0 100644 --- a/tests/base/integration/tables/test_table_lifecycle_sync.py +++ b/tests/base/integration/tables/test_table_lifecycle_sync.py @@ -782,3 +782,179 @@ def test_table_simpleudt_crd_sync( ) finally: table.drop() + + @pytest.mark.describe("test of table index creation dict call patterns, sync") + def test_tableindex_creationdictpatterns_sync( + self, + sync_database: Database, + ) -> None: + try: + table = sync_database.create_table( + "table_for_idxcallpattern_dict", + definition=CreateTableDefinition( + columns={ + "id": TableScalarColumnTypeDescriptor("text"), + "a1": TableScalarColumnTypeDescriptor("ascii"), + "a2": TableScalarColumnTypeDescriptor("ascii"), + "a3": TableScalarColumnTypeDescriptor("ascii"), + "s1": TableScalarColumnTypeDescriptor("text"), + "s2": TableScalarColumnTypeDescriptor("text"), + "s3": TableScalarColumnTypeDescriptor("text"), + "v1": TableVectorColumnTypeDescriptor(dimension=2), + "v2": TableVectorColumnTypeDescriptor(dimension=2), + "v3": TableVectorColumnTypeDescriptor(dimension=2), + }, + primary_key=TablePrimaryKeyDescriptor( + partition_by=["id"], + partition_sort={}, + ), + ), + ) + + # create_index, working patterns + table.create_index("test_idx_a1", "a1", options={"ascii": True}) + table.create_index("test_idx_a2", "a2") + table.create_index( + "test_idx_a3", definition={"column": "a3", "options": {"ascii": True}} + ) + # create_index, failing patterns + with pytest.raises(ValueError, match="cannot be used simultaneously"): + table.create_index("x", "x", definition={}, options={}) + with pytest.raises(ValueError, match="cannot be used simultaneously"): + table.create_index("x", "x", definition={}) + with pytest.raises(ValueError, match="cannot be used simultaneously"): + table.create_index("x", definition={}, options={}) + with pytest.raises(ValueError, match="is required for an index"): + table.create_index("x", options={}) + with pytest.raises(ValueError, match="is required for an index"): + table.create_index("x") + + # create_vector_index, working patterns + table.create_vector_index( + "test_idx_v1", "v1", options={"metric": "EUCLIDEAN"} + ) + table.create_vector_index("test_idx_v2", "v2") + table.create_vector_index( + "test_idx_v3", + definition={"column": "v3", "options": {"metric": "EUCLIDEAN"}}, + ) + # create_vector_index, failing patterns + with pytest.raises(ValueError, match="cannot be used simultaneously"): + table.create_vector_index("x", "x", definition={}, options={}) + with pytest.raises(ValueError, match="cannot be used simultaneously"): + table.create_vector_index("x", "x", definition={}) + with pytest.raises(ValueError, match="cannot be used simultaneously"): + table.create_vector_index("x", definition={}, options={}) + with pytest.raises(ValueError, match="is required for an index"): + table.create_vector_index("x", options={}) + with pytest.raises(ValueError, match="is required for an index"): + table.create_vector_index("x") + + # create_text_index, working patterns + table.create_text_index( + "test_idx_s1", "s1", options={"analyzer": "whitespace"} + ) + table.create_text_index("test_idx_s2", "s2") + table.create_text_index( + "test_idx_s3", + definition={"column": "s3", "options": {"analyzer": "whitespace"}}, + ) + # create_text_index, failing patterns + with pytest.raises(ValueError, match="cannot be used simultaneously"): + table.create_text_index("x", "x", definition={}, options={}) + with pytest.raises(ValueError, match="cannot be used simultaneously"): + table.create_text_index("x", "x", definition={}) + with pytest.raises(ValueError, match="cannot be used simultaneously"): + table.create_text_index("x", definition={}, options={}) + with pytest.raises(ValueError, match="is required for an index"): + table.create_text_index("x", options={}) + with pytest.raises(ValueError, match="is required for an index"): + table.create_text_index("x") + + # some indexes should formally coincide: + indexes = table.list_indexes() + options_per_idx = { + idx.name: idx.definition.as_dict().get("options") for idx in indexes + } + assert options_per_idx["test_idx_a1"] == options_per_idx["test_idx_a3"] + assert options_per_idx["test_idx_v1"] == options_per_idx["test_idx_v3"] + assert options_per_idx["test_idx_s1"] == options_per_idx["test_idx_s3"] + finally: + sync_database.drop_table("table_for_idxcallpattern_dict") + + @pytest.mark.describe("test of table index creation object call patterns, sync") + def test_tableindex_creationobjpatterns_sync( + self, + sync_database: Database, + ) -> None: + try: + table = sync_database.create_table( + "table_for_idxcallpattern_obj", + definition=CreateTableDefinition( + columns={ + "id": TableScalarColumnTypeDescriptor("text"), + "a1": TableScalarColumnTypeDescriptor("ascii"), + "a2": TableScalarColumnTypeDescriptor("ascii"), + "a3": TableScalarColumnTypeDescriptor("ascii"), + "s1": TableScalarColumnTypeDescriptor("text"), + "s2": TableScalarColumnTypeDescriptor("text"), + "s3": TableScalarColumnTypeDescriptor("text"), + "v1": TableVectorColumnTypeDescriptor(dimension=2), + "v2": TableVectorColumnTypeDescriptor(dimension=2), + "v3": TableVectorColumnTypeDescriptor(dimension=2), + }, + primary_key=TablePrimaryKeyDescriptor( + partition_by=["id"], + partition_sort={}, + ), + ), + ) + + # create_index, working patterns + table.create_index( + "test_idx_a1", "a1", options=TableIndexOptions(ascii=True) + ) + table.create_index("test_idx_a2", "a2") + table.create_index( + "test_idx_a3", + definition=TableIndexDefinition( + column="a3", options=TableIndexOptions(ascii=True) + ), + ) + + # create_vector_index, working patterns + table.create_vector_index( + "test_idx_v1", "v1", options=TableVectorIndexOptions(metric="EUCLIDEAN") + ) + table.create_vector_index("test_idx_v2", "v2") + table.create_vector_index( + "test_idx_v3", + definition=TableVectorIndexDefinition( + column="v3", options=TableVectorIndexOptions(metric="EUCLIDEAN") + ), + ) + + # create_text_index, working patterns + table.create_text_index( + "test_idx_s1", + "s1", + options=TableTextIndexOptions(analyzer="whitespace"), + ) + table.create_text_index("test_idx_s2", "s2") + table.create_text_index( + "test_idx_s3", + definition=TableTextIndexDefinition( + column="s3", options=TableTextIndexOptions(analyzer="whitespace") + ), + ) + + # some indexes should formally coincide: + indexes = table.list_indexes() + options_per_idx = { + idx.name: idx.definition.as_dict().get("options") for idx in indexes + } + assert options_per_idx["test_idx_a1"] == options_per_idx["test_idx_a3"] + assert options_per_idx["test_idx_v1"] == options_per_idx["test_idx_v3"] + assert options_per_idx["test_idx_s1"] == options_per_idx["test_idx_s3"] + finally: + sync_database.drop_table("table_for_idxcallpattern_obj") diff --git a/tests/base/integration/tables/test_table_userdefinedtypes_async.py b/tests/base/integration/tables/test_table_userdefinedtypes_async.py index 10d69397..ad8ae2bc 100644 --- a/tests/base/integration/tables/test_table_userdefinedtypes_async.py +++ b/tests/base/integration/tables/test_table_userdefinedtypes_async.py @@ -442,13 +442,9 @@ async def test_table_udt_dml_async( "age": 90, } elif udt_mode == "partial": - expected_udt_unit = DataAPIDictUDT( - {"name": None, "age": 90} - ) + expected_udt_unit = {"name": None, "age": 90} elif udt_mode == "empty": - expected_udt_unit = DataAPIDictUDT( - {"name": None, "age": None} - ) + expected_udt_unit = {"name": None, "age": None} elif udt_mode == "extended": expected_udt_unit = { "name": "John", @@ -504,9 +500,7 @@ async def test_table_incomplete_udt_dml_async( ) -> None: atable = async_empty_table_udt_player.with_options( api_options=APIOptions( - serdes_options=SerdesOptions( - custom_datatypes_in_reading=True, - ) + serdes_options=SerdesOptions(custom_datatypes_in_reading=True) ), ) insert_results = await atable.insert_many( diff --git a/tests/base/integration/tables/test_table_userdefinedtypes_sync.py b/tests/base/integration/tables/test_table_userdefinedtypes_sync.py index fd44bbe0..8c7026a2 100644 --- a/tests/base/integration/tables/test_table_userdefinedtypes_sync.py +++ b/tests/base/integration/tables/test_table_userdefinedtypes_sync.py @@ -496,9 +496,7 @@ def test_table_incomplete_udt_dml_sync( ) -> None: table = sync_empty_table_udt_player.with_options( api_options=APIOptions( - serdes_options=SerdesOptions( - custom_datatypes_in_reading=True, - ) + serdes_options=SerdesOptions(custom_datatypes_in_reading=True) ), ) insert_results = table.insert_many( diff --git a/tests/base/unit/test_datetime_serdes_options.py b/tests/base/unit/test_datetime_serdes_options.py index bc3cf19f..a9bef290 100644 --- a/tests/base/unit/test_datetime_serdes_options.py +++ b/tests/base/unit/test_datetime_serdes_options.py @@ -37,12 +37,7 @@ def test_ddate_table_reading_customdt(self) -> None: tz = datetime.timezone(datetime.timedelta(hours=2, minutes=45)) sd_options = defaultSerdesOptions.with_override( SerdesOptions( - binary_encode_vectors=False, custom_datatypes_in_reading=True, - unroll_iterables_to_lists=False, - use_decimals_in_collections=False, - encode_maps_as_lists_in_tables="never", - accept_naive_datetimes=False, datetime_tzinfo=tz, ), ) @@ -65,12 +60,7 @@ def test_ddate_table_reading_stdlibtz(self) -> None: tz = datetime.timezone(datetime.timedelta(hours=2, minutes=45)) sd_options = defaultSerdesOptions.with_override( SerdesOptions( - binary_encode_vectors=False, custom_datatypes_in_reading=False, - unroll_iterables_to_lists=False, - use_decimals_in_collections=False, - encode_maps_as_lists_in_tables="never", - accept_naive_datetimes=False, datetime_tzinfo=tz, ), ) @@ -92,12 +82,7 @@ def test_ddate_table_reading_stdlibtz(self) -> None: def test_ddate_table_reading_stdlibnaive(self) -> None: sd_options = defaultSerdesOptions.with_override( SerdesOptions( - binary_encode_vectors=False, custom_datatypes_in_reading=False, - unroll_iterables_to_lists=False, - use_decimals_in_collections=False, - encode_maps_as_lists_in_tables="never", - accept_naive_datetimes=False, datetime_tzinfo=None, ), ) @@ -119,15 +104,7 @@ def test_ddate_table_reading_stdlibnaive(self) -> None: def test_ddate_table_writing_tzaware_strict(self) -> None: tz = datetime.timezone(datetime.timedelta(hours=2, minutes=45)) sd_options = defaultSerdesOptions.with_override( - SerdesOptions( - binary_encode_vectors=False, - custom_datatypes_in_reading=False, - unroll_iterables_to_lists=False, - use_decimals_in_collections=False, - encode_maps_as_lists_in_tables="never", - accept_naive_datetimes=False, - datetime_tzinfo=None, - ), + SerdesOptions(accept_naive_datetimes=False), ) dt = datetime.datetime(1991, 7, 23, 12, 34, 56, tzinfo=tz) preprocessed = preprocess_table_payload( @@ -143,15 +120,7 @@ def test_ddate_table_writing_tzaware_strict(self) -> None: @pytest.mark.describe("test writing naive datetime to table, no naive allowed") def test_ddate_table_writing_naive_strict(self) -> None: sd_options = defaultSerdesOptions.with_override( - SerdesOptions( - binary_encode_vectors=False, - custom_datatypes_in_reading=False, - unroll_iterables_to_lists=False, - use_decimals_in_collections=False, - encode_maps_as_lists_in_tables="never", - accept_naive_datetimes=False, - datetime_tzinfo=None, - ), + SerdesOptions(accept_naive_datetimes=False), ) dt = datetime.datetime(1991, 7, 23, 12, 34, 56) with pytest.raises(ValueError, match="tz"): @@ -165,15 +134,7 @@ def test_ddate_table_writing_naive_strict(self) -> None: def test_ddate_table_writing_tzaware_relaxed(self) -> None: tz = datetime.timezone(datetime.timedelta(hours=2, minutes=45)) sd_options = defaultSerdesOptions.with_override( - SerdesOptions( - binary_encode_vectors=False, - custom_datatypes_in_reading=False, - unroll_iterables_to_lists=False, - use_decimals_in_collections=False, - encode_maps_as_lists_in_tables="never", - accept_naive_datetimes=True, - datetime_tzinfo=None, - ), + SerdesOptions(accept_naive_datetimes=True), ) dt = datetime.datetime(1991, 7, 23, 12, 34, 56, tzinfo=tz) preprocessed = preprocess_table_payload( @@ -189,15 +150,7 @@ def test_ddate_table_writing_tzaware_relaxed(self) -> None: @pytest.mark.describe("test writing naive datetime to table, naive permitted") def test_ddate_table_writing_naive_relaxed(self) -> None: sd_options = defaultSerdesOptions.with_override( - SerdesOptions( - binary_encode_vectors=False, - custom_datatypes_in_reading=False, - unroll_iterables_to_lists=False, - use_decimals_in_collections=False, - encode_maps_as_lists_in_tables="never", - accept_naive_datetimes=True, - datetime_tzinfo=None, - ), + SerdesOptions(accept_naive_datetimes=True), ) dt = datetime.datetime(1991, 7, 23, 12, 34, 56) preprocessed = preprocess_table_payload( diff --git a/tests/base/unit/test_ids.py b/tests/base/unit/test_ids.py index 56ed37d1..81b804d5 100644 --- a/tests/base/unit/test_ids.py +++ b/tests/base/unit/test_ids.py @@ -27,7 +27,7 @@ preprocess_collection_payload, ) from astrapy.ids import UUID, ObjectId -from astrapy.utils.api_options import SerdesOptions, defaultSerdesOptions +from astrapy.utils.api_options import defaultSerdesOptions @pytest.mark.describe("test of serdes for ids") @@ -54,32 +54,12 @@ def test_ids_serdes() -> None: normalized = preprocess_collection_payload( full_structure, - options=defaultSerdesOptions.with_override( - SerdesOptions( - binary_encode_vectors=True, - custom_datatypes_in_reading=True, - unroll_iterables_to_lists=True, - use_decimals_in_collections=False, - encode_maps_as_lists_in_tables="NEVER", - accept_naive_datetimes=False, - datetime_tzinfo=None, - ), - ), + options=defaultSerdesOptions, ) json.dumps(normalized) assert normalized is not None restored = postprocess_collection_response( normalized, - options=defaultSerdesOptions.with_override( - SerdesOptions( - binary_encode_vectors=True, - custom_datatypes_in_reading=True, - unroll_iterables_to_lists=True, - use_decimals_in_collections=False, - encode_maps_as_lists_in_tables="NEVER", - accept_naive_datetimes=False, - datetime_tzinfo=None, - ), - ), + options=defaultSerdesOptions, ) assert restored == full_structure diff --git a/tests/base/unit/test_strenum.py b/tests/base/unit/test_strenum.py index 4347bee9..904dc48e 100644 --- a/tests/base/unit/test_strenum.py +++ b/tests/base/unit/test_strenum.py @@ -19,25 +19,25 @@ from astrapy.utils.str_enum import StrEnum -class TestEnum(StrEnum): +class MyTestEnum(StrEnum): VALUE = "value" VALUE_DASH = "value-dash" class TestStrEnum: def test_strenum_contains(self) -> None: - assert "value" in TestEnum - assert "value_dash" in TestEnum - assert "value-dash" in TestEnum - assert "VALUE-DASH" in TestEnum - assert "pippo" not in TestEnum - assert {6: 12} not in TestEnum + assert "value" in MyTestEnum + assert "value_dash" in MyTestEnum + assert "value-dash" in MyTestEnum + assert "VALUE-DASH" in MyTestEnum + assert "pippo" not in MyTestEnum + assert {6: 12} not in MyTestEnum def test_strenum_coerce(self) -> None: - TestEnum.coerce("value") - TestEnum.coerce("value_dash") - TestEnum.coerce("value-dash") - TestEnum.coerce("VALUE-DASH") - TestEnum.coerce(TestEnum.VALUE) + MyTestEnum.coerce("value") + MyTestEnum.coerce("value_dash") + MyTestEnum.coerce("value-dash") + MyTestEnum.coerce("VALUE-DASH") + MyTestEnum.coerce(MyTestEnum.VALUE) with pytest.raises(ValueError): - TestEnum.coerce("pippo") + MyTestEnum.coerce("pippo") diff --git a/tests/base/unit/test_table_decimal_support.py b/tests/base/unit/test_table_decimal_support.py index 14f93855..44c96dad 100644 --- a/tests/base/unit/test_table_decimal_support.py +++ b/tests/base/unit/test_table_decimal_support.py @@ -97,13 +97,8 @@ def test_decimalsupport_table_collectiontypes_codecpath( t_agent: _TableConverterAgent[DefaultRowType] = _TableConverterAgent( options=defaultSerdesOptions.with_override( SerdesOptions( - binary_encode_vectors=True, custom_datatypes_in_reading=colltype_custom, - unroll_iterables_to_lists=True, use_decimals_in_collections=True, - encode_maps_as_lists_in_tables="never", - accept_naive_datetimes=False, - datetime_tzinfo=None, ), ), ) diff --git a/tests/base/unit/test_tableconverteragent.py b/tests/base/unit/test_tableconverteragent.py index a4adce66..af77079c 100644 --- a/tests/base/unit/test_tableconverteragent.py +++ b/tests/base/unit/test_tableconverteragent.py @@ -19,25 +19,14 @@ from astrapy.constants import DefaultRowType from astrapy.data.utils.table_converters import _TableConverterAgent from astrapy.data_types import DataAPIDate -from astrapy.utils.api_options import SerdesOptions, defaultSerdesOptions +from astrapy.utils.api_options import defaultSerdesOptions class TestTableConverterAgent: @pytest.mark.describe("test of table converter agent, row converters") def test_tableconverteragent_row(self) -> None: - options = defaultSerdesOptions.with_override( - SerdesOptions( - binary_encode_vectors=True, - custom_datatypes_in_reading=True, - unroll_iterables_to_lists=True, - use_decimals_in_collections=False, - encode_maps_as_lists_in_tables="NEVER", - accept_naive_datetimes=False, - datetime_tzinfo=None, - ), - ) agent: _TableConverterAgent[DefaultRowType] = _TableConverterAgent( - options=options + options=defaultSerdesOptions, ) assert len(agent.row_postprocessors) == 0 @@ -82,19 +71,8 @@ def test_tableconverteragent_row(self) -> None: @pytest.mark.describe("test of table converter agent, row with similarity") def test_tableconverteragent_row_similarity(self) -> None: - options = defaultSerdesOptions.with_override( - SerdesOptions( - binary_encode_vectors=True, - custom_datatypes_in_reading=True, - unroll_iterables_to_lists=True, - use_decimals_in_collections=False, - encode_maps_as_lists_in_tables="NEVER", - accept_naive_datetimes=False, - datetime_tzinfo=None, - ), - ) agent: _TableConverterAgent[DefaultRowType] = _TableConverterAgent( - options=options + options=defaultSerdesOptions, ) schema1 = { "$similarity": {"type": "date"}, @@ -118,19 +96,8 @@ def test_tableconverteragent_row_similarity(self) -> None: @pytest.mark.describe("test of table converter agent, key converters") def test_tableconverteragent_key(self) -> None: - options = defaultSerdesOptions.with_override( - SerdesOptions( - binary_encode_vectors=True, - custom_datatypes_in_reading=True, - unroll_iterables_to_lists=True, - use_decimals_in_collections=False, - encode_maps_as_lists_in_tables="NEVER", - accept_naive_datetimes=False, - datetime_tzinfo=None, - ), - ) agent: _TableConverterAgent[DefaultRowType] = _TableConverterAgent( - options=options + options=defaultSerdesOptions, ) assert len(agent.key_postprocessors) == 0 diff --git a/tests/base/unit/test_tableconverters.py b/tests/base/unit/test_tableconverters.py index 4ec88872..a8765c26 100644 --- a/tests/base/unit/test_tableconverters.py +++ b/tests/base/unit/test_tableconverters.py @@ -493,12 +493,7 @@ def test_row_postprocessors_from_schema(self) -> None: columns=col_desc.definition.columns, options=defaultSerdesOptions.with_override( SerdesOptions( - binary_encode_vectors=True, custom_datatypes_in_reading=True, - unroll_iterables_to_lists=False, - use_decimals_in_collections=False, - encode_maps_as_lists_in_tables="never", - accept_naive_datetimes=False, datetime_tzinfo=None, ), ), @@ -524,12 +519,7 @@ def test_row_postprocessors_from_schema_nocustom(self) -> None: }, options=defaultSerdesOptions.with_override( SerdesOptions( - binary_encode_vectors=True, custom_datatypes_in_reading=False, - unroll_iterables_to_lists=False, - use_decimals_in_collections=False, - encode_maps_as_lists_in_tables="never", - accept_naive_datetimes=False, datetime_tzinfo=datetime.timezone.utc, ), ), @@ -569,12 +559,7 @@ def test_pk_postprocessors_from_schema_custom(self) -> None: primary_key_schema=primary_key_schema, options=defaultSerdesOptions.with_override( SerdesOptions( - binary_encode_vectors=True, custom_datatypes_in_reading=True, - unroll_iterables_to_lists=False, - use_decimals_in_collections=False, - encode_maps_as_lists_in_tables="never", - accept_naive_datetimes=False, datetime_tzinfo=None, ), ), @@ -613,12 +598,7 @@ def test_pk_postprocessors_from_schema_nocustom(self) -> None: primary_key_schema=primary_key_schema, options=defaultSerdesOptions.with_override( SerdesOptions( - binary_encode_vectors=True, custom_datatypes_in_reading=False, - unroll_iterables_to_lists=False, - use_decimals_in_collections=False, - encode_maps_as_lists_in_tables="never", - accept_naive_datetimes=False, datetime_tzinfo=datetime.timezone.utc, ), ), @@ -633,12 +613,7 @@ def test_row_preprocessors_from_types(self) -> None: ptp_opts = defaultSerdesOptions.with_override( SerdesOptions( binary_encode_vectors=True, - custom_datatypes_in_reading=True, unroll_iterables_to_lists=True, - use_decimals_in_collections=False, - encode_maps_as_lists_in_tables="never", - accept_naive_datetimes=False, - datetime_tzinfo=None, ), ) preprocessed_row = preprocess_table_payload( @@ -660,15 +635,7 @@ def test_row_preprocessors_from_types(self) -> None: preprocessed_gen_1 = preprocess_table_payload( gen_row_1, options=defaultSerdesOptions.with_override( - SerdesOptions( - binary_encode_vectors=True, - custom_datatypes_in_reading=True, - unroll_iterables_to_lists=False, - use_decimals_in_collections=False, - encode_maps_as_lists_in_tables="never", - accept_naive_datetimes=False, - datetime_tzinfo=None, - ), + SerdesOptions(unroll_iterables_to_lists=False), ), map2tuple_checker=None, ) @@ -686,15 +653,7 @@ def test_row_preprocessors_from_types(self) -> None: preprocessed_dvec_1 = preprocess_table_payload( dvec_row, options=defaultSerdesOptions.with_override( - SerdesOptions( - binary_encode_vectors=False, - custom_datatypes_in_reading=True, - unroll_iterables_to_lists=True, - use_decimals_in_collections=False, - encode_maps_as_lists_in_tables="never", - accept_naive_datetimes=False, - datetime_tzinfo=None, - ), + SerdesOptions(binary_encode_vectors=False), ), map2tuple_checker=None, ) @@ -713,15 +672,7 @@ def test_row_postprocessors_from_schema_fillers(self) -> None: tpostprocessor = create_row_tpostprocessor( columns=col_desc.definition.columns, options=defaultSerdesOptions.with_override( - SerdesOptions( - binary_encode_vectors=True, - custom_datatypes_in_reading=True, - unroll_iterables_to_lists=False, - use_decimals_in_collections=False, - encode_maps_as_lists_in_tables="never", - accept_naive_datetimes=False, - datetime_tzinfo=None, - ), + SerdesOptions(custom_datatypes_in_reading=True), ), similarity_pseudocolumn=None, ) @@ -739,15 +690,7 @@ def test_row_postprocessors_from_schema_fillers_nocustom(self) -> None: tpostprocessor = create_row_tpostprocessor( columns=col_desc.definition.columns, options=defaultSerdesOptions.with_override( - SerdesOptions( - binary_encode_vectors=True, - custom_datatypes_in_reading=False, - unroll_iterables_to_lists=False, - use_decimals_in_collections=False, - encode_maps_as_lists_in_tables="never", - accept_naive_datetimes=False, - datetime_tzinfo=None, - ), + SerdesOptions(custom_datatypes_in_reading=False), ), similarity_pseudocolumn=None, ) @@ -763,17 +706,7 @@ def test_row_postprocessors_rogue_table(self) -> None: col_desc = ListTableDescriptor.coerce(ROGUE_TABLE_DESCRIPTION) tpostprocessor = create_row_tpostprocessor( columns=col_desc.definition.columns, - options=defaultSerdesOptions.with_override( - SerdesOptions( - 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